2022-11-23T01:03:37.1999227Z Requested labels: linux.2xlarge
2022-11-23T01:03:37.1999302Z Job defined at: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/master
2022-11-23T01:03:37.1999323Z Waiting for a runner to pick up this job...
2022-11-23T01:03:37.6046595Z Job is about to start running on the runner: i-05e6c9e8387fe80fe (organization)
2022-11-23T01:03:41.9166668Z Current runner version: '2.299.1'
2022-11-23T01:03:41.9172139Z Runner name: 'i-05e6c9e8387fe80fe'
2022-11-23T01:03:41.9172622Z Runner group name: 'Default'
2022-11-23T01:03:41.9173179Z Machine name: 'ip-10-0-11-228'
2022-11-23T01:03:41.9175181Z ##[group]GITHUB_TOKEN Permissions
2022-11-23T01:03:41.9175820Z Actions: write
2022-11-23T01:03:41.9176069Z Checks: write
2022-11-23T01:03:41.9176362Z Contents: write
2022-11-23T01:03:41.9176703Z Deployments: write
2022-11-23T01:03:41.9176964Z Discussions: write
2022-11-23T01:03:41.9177255Z Issues: write
2022-11-23T01:03:41.9177577Z Metadata: read
2022-11-23T01:03:41.9177819Z Packages: write
2022-11-23T01:03:41.9178131Z Pages: write
2022-11-23T01:03:41.9178426Z PullRequests: write
2022-11-23T01:03:41.9178768Z RepositoryProjects: write
2022-11-23T01:03:41.9179054Z SecurityEvents: write
2022-11-23T01:03:41.9179374Z Statuses: write
2022-11-23T01:03:41.9179664Z ##[endgroup]
2022-11-23T01:03:41.9182633Z Secret source: Actions
2022-11-23T01:03:41.9183340Z Prepare workflow directory
2022-11-23T01:03:42.5545811Z Prepare all required actions
2022-11-23T01:03:42.5705278Z Getting action download info
2022-11-23T01:03:42.7864003Z Download action repository 'pytorch/test-infra@main' (SHA:c57ff4d9a93667a5571a80a0e92c3e2674aeedfd)
2022-11-23T01:03:43.0528900Z Download action repository 'pytorch/pytorch@master' (SHA:1cfd3858ac54fe3883534309081631a0a892ba3f)
2022-11-23T01:03:45.6087287Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2022-11-23T01:03:45.8617069Z Getting action download info
2022-11-23T01:03:46.0054888Z Download action repository 'malfet/checkout@silent-checkout' (SHA:c7b8fef48edfe1bca0044a44b1f7f7c4318a3076)
2022-11-23T01:03:46.1722626Z Getting action download info
2022-11-23T01:03:46.3312478Z Download action repository 'nick-fields/retry@7d4a37704547a311dbb66ebdf5b23ec19374a767' (SHA:7d4a37704547a311dbb66ebdf5b23ec19374a767)
2022-11-23T01:03:46.4624937Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml
2022-11-23T01:03:46.4626693Z ##[group] Inputs
2022-11-23T01:03:46.4626990Z   build-environment: linux-focal-py3.7-clang7-asan
2022-11-23T01:03:46.4627649Z   test-matrix: { include: [
  { config: "default", shard: 1, num_shards: 5, runner: "linux.2xlarge" },
  { config: "default", shard: 2, num_shards: 5, runner: "linux.2xlarge" },
  { config: "default", shard: 3, num_shards: 5, runner: "linux.2xlarge" },
  { config: "default", shard: 4, num_shards: 5, runner: "linux.4xlarge" },
  { config: "default", shard: 5, num_shards: 5, runner: "linux.4xlarge" },
  { config: "functorch", shard: 1, num_shards: 1, runner: "linux.2xlarge" },
]}

2022-11-23T01:03:46.4628359Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3-clang7-asan:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T01:03:46.4628698Z   sync-tag: 
2022-11-23T01:03:46.4629378Z   timeout-minutes: 240
2022-11-23T01:03:46.4629561Z ##[endgroup]
2022-11-23T01:03:46.4630018Z Complete job name: linux-focal-py3.7-clang7-asan / test (default, 2, 5, linux.2xlarge)
2022-11-23T01:03:46.5329201Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2022-11-23T01:03:46.5329473Z with:
2022-11-23T01:03:46.5329972Z   github-secret: ***
2022-11-23T01:03:46.5330182Z   activate-with-label: false
2022-11-23T01:03:46.5330365Z   label: with-ssh
2022-11-23T01:03:46.5330558Z   remove-existing-keys: true
2022-11-23T01:03:46.5330744Z env:
2022-11-23T01:03:46.5330916Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:03:46.5331089Z ##[endgroup]
2022-11-23T01:03:46.6099657Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2022-11-23T01:03:46.6271540Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@master
2022-11-23T01:03:46.6271825Z with:
2022-11-23T01:03:46.6272019Z   submodules: recursive
2022-11-23T01:03:46.6272204Z   fetch-depth: 0
2022-11-23T01:03:46.6272369Z env:
2022-11-23T01:03:46.6272525Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:03:46.6272711Z ##[endgroup]
2022-11-23T01:03:46.6476562Z ##[group]Run retry () {
2022-11-23T01:03:46.6476836Z retry () {
2022-11-23T01:03:46.6477052Z   $* || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*)
2022-11-23T01:03:46.6477458Z }
2022-11-23T01:03:46.6477646Z echo "${GITHUB_WORKSPACE}"
2022-11-23T01:03:46.6477855Z if [ -z "${NO_SUDO}" ]; then
2022-11-23T01:03:46.6478084Z   retry sudo rm -rf "${GITHUB_WORKSPACE}"
2022-11-23T01:03:46.6478287Z else
2022-11-23T01:03:46.6478542Z   retry rm -rf "${GITHUB_WORKSPACE}"
2022-11-23T01:03:46.6478740Z fi
2022-11-23T01:03:46.6478965Z mkdir "${GITHUB_WORKSPACE}"
2022-11-23T01:03:46.6495536Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:03:46.6495773Z env:
2022-11-23T01:03:46.6495954Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:03:46.6496137Z   NO_SUDO: 
2022-11-23T01:03:46.6496295Z ##[endgroup]
2022-11-23T01:03:46.6588248Z /home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-11-23T01:03:48.9476917Z ##[group]Run malfet/checkout@silent-checkout
2022-11-23T01:03:48.9477389Z with:
2022-11-23T01:03:48.9477587Z   ref: 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:03:48.9477777Z   fetch-depth: 0
2022-11-23T01:03:48.9477962Z   submodules: recursive
2022-11-23T01:03:48.9478154Z   quiet-checkout: true
2022-11-23T01:03:48.9478337Z   repository: pytorch/pytorch
2022-11-23T01:03:48.9478675Z   token: ***
2022-11-23T01:03:48.9478847Z   ssh-strict: true
2022-11-23T01:03:48.9479026Z   persist-credentials: true
2022-11-23T01:03:48.9479214Z   clean: true
2022-11-23T01:03:48.9479384Z   lfs: false
2022-11-23T01:03:48.9479551Z   set-safe-directory: true
2022-11-23T01:03:48.9479728Z env:
2022-11-23T01:03:48.9479897Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:03:48.9480065Z ##[endgroup]
2022-11-23T01:03:49.0570031Z Syncing repository: pytorch/pytorch
2022-11-23T01:03:49.0571378Z ##[group]Getting Git version info
2022-11-23T01:03:49.0571819Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2022-11-23T01:03:49.0572277Z [command]/usr/bin/git version
2022-11-23T01:03:49.0572457Z git version 2.37.1
2022-11-23T01:03:49.0573003Z ##[endgroup]
2022-11-23T01:03:49.0586215Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/2a5a43d5-0668-4f6c-8863-41449a1d4f56' before making global git config changes
2022-11-23T01:03:49.0586639Z Adding repository directory to the temporary git global config as a safe directory
2022-11-23T01:03:49.0590612Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-11-23T01:03:49.0629638Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2022-11-23T01:03:49.0634080Z ##[group]Initializing the repository
2022-11-23T01:03:49.0636670Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-11-23T01:03:49.0776524Z hint: Using 'master' as the name for the initial branch. This default branch name
2022-11-23T01:03:49.0777354Z hint: is subject to change. To configure the initial branch name to use in all
2022-11-23T01:03:49.0777733Z hint: of your new repositories, which will suppress this warning, call:
2022-11-23T01:03:49.0777961Z hint: 
2022-11-23T01:03:49.0778235Z hint: 	git config --global init.defaultBranch <name>
2022-11-23T01:03:49.0778612Z hint: 
2022-11-23T01:03:49.0778900Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2022-11-23T01:03:49.0779272Z hint: 'development'. The just-created branch can be renamed via this command:
2022-11-23T01:03:49.0779492Z hint: 
2022-11-23T01:03:49.0779837Z hint: 	git branch -m <name>
2022-11-23T01:03:49.0780468Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2022-11-23T01:03:49.0786540Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2022-11-23T01:03:49.0815435Z ##[endgroup]
2022-11-23T01:03:49.0815801Z ##[group]Disabling automatic garbage collection
2022-11-23T01:03:49.0818813Z [command]/usr/bin/git config --local gc.auto 0
2022-11-23T01:03:49.0845721Z ##[endgroup]
2022-11-23T01:03:49.0847146Z ##[group]Setting up auth
2022-11-23T01:03:49.0853638Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2022-11-23T01:03:49.0882689Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :
2022-11-23T01:03:49.1124410Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2022-11-23T01:03:49.1153579Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :
2022-11-23T01:03:49.1396824Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2022-11-23T01:03:49.1438268Z ##[endgroup]
2022-11-23T01:03:49.1438660Z ##[group]Fetching the repository
2022-11-23T01:03:49.1444193Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --quiet --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2022-11-23T01:04:39.4061386Z [command]/usr/bin/git rev-parse --verify --quiet 1cfd3858ac54fe3883534309081631a0a892ba3f^{object}
2022-11-23T01:04:39.4089220Z 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:04:39.4095811Z ##[endgroup]
2022-11-23T01:04:39.4096184Z ##[group]Determining the checkout info
2022-11-23T01:04:39.4096511Z ##[endgroup]
2022-11-23T01:04:39.4096849Z ##[group]Checking out the ref
2022-11-23T01:04:39.4099310Z [command]/usr/bin/git checkout --quiet --force 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:04:40.6864963Z ##[endgroup]
2022-11-23T01:04:40.6865382Z ##[group]Setting up auth for fetching submodules
2022-11-23T01:04:40.6871369Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2022-11-23T01:04:40.6914731Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2022-11-23T01:04:40.6942537Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2022-11-23T01:04:40.6971513Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2022-11-23T01:04:40.6998078Z ##[endgroup]
2022-11-23T01:04:40.6998442Z ##[group]Fetching submodules
2022-11-23T01:04:40.7001866Z [command]/usr/bin/git submodule sync --recursive
2022-11-23T01:04:40.7263138Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2022-11-23T01:04:40.7513229Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
2022-11-23T01:04:40.7514117Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16'
2022-11-23T01:04:40.7515409Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2022-11-23T01:04:40.7517953Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2022-11-23T01:04:40.7520883Z Submodule 'third_party/QNNPACK' (https://github.com/pytorch/QNNPACK) registered for path 'third_party/QNNPACK'
2022-11-23T01:04:40.7523909Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2022-11-23T01:04:40.7526410Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2022-11-23T01:04:40.7529320Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2022-11-23T01:04:40.7532078Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2022-11-23T01:04:40.7535168Z Submodule 'third_party/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub'
2022-11-23T01:04:40.7538421Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2022-11-23T01:04:40.7541491Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2022-11-23T01:04:40.7544723Z Submodule 'third_party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'third_party/eigen'
2022-11-23T01:04:40.7548190Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
2022-11-23T01:04:40.7551735Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers'
2022-11-23T01:04:40.7555438Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2022-11-23T01:04:40.7559319Z Submodule 'third_party/foxi' (https://github.com/houseroad/foxi.git) registered for path 'third_party/foxi'
2022-11-23T01:04:40.7562816Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2022-11-23T01:04:40.7566692Z Submodule 'third_party/gloo' (https://github.com/facebookincubator/gloo) registered for path 'third_party/gloo'
2022-11-23T01:04:40.7570909Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
2022-11-23T01:04:40.7575143Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep'
2022-11-23T01:04:40.7579393Z Submodule 'third_party/ios-cmake' (https://github.com/Yangqing/ios-cmake.git) registered for path 'third_party/ios-cmake'
2022-11-23T01:04:40.7583705Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2022-11-23T01:04:40.7588383Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2022-11-23T01:04:40.7592797Z Submodule 'third_party/nccl/nccl' (https://github.com/NVIDIA/nccl) registered for path 'third_party/nccl/nccl'
2022-11-23T01:04:40.7598758Z Submodule 'third_party/neon2sse' (https://github.com/intel/ARM_NEON_2_x86_SSE.git) registered for path 'third_party/neon2sse'
2022-11-23T01:04:40.7604941Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann'
2022-11-23T01:04:40.7609960Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx'
2022-11-23T01:04:40.7615561Z Submodule 'third_party/onnx-tensorrt' (https://github.com/onnx/onnx-tensorrt) registered for path 'third_party/onnx-tensorrt'
2022-11-23T01:04:40.7621178Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft'
2022-11-23T01:04:40.7627052Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf'
2022-11-23T01:04:40.7632833Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd'
2022-11-23T01:04:40.7639096Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool'
2022-11-23T01:04:40.7645025Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11'
2022-11-23T01:04:40.7651222Z Submodule 'third_party/python-enum' (https://github.com/PeachPy/enum34.git) registered for path 'third_party/python-enum'
2022-11-23T01:04:40.7657437Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy'
2022-11-23T01:04:40.7663688Z Submodule 'third_party/python-six' (https://github.com/benjaminp/six.git) registered for path 'third_party/python-six'
2022-11-23T01:04:40.7670208Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef'
2022-11-23T01:04:40.7676721Z Submodule 'third_party/tbb' (https://github.com/01org/tbb) registered for path 'third_party/tbb'
2022-11-23T01:04:40.7685371Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe'
2022-11-23T01:04:40.7691937Z Submodule 'third_party/zstd' (https://github.com/facebook/zstd.git) registered for path 'third_party/zstd'
2022-11-23T01:04:40.7717735Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'...
2022-11-23T01:04:41.0245730Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'...
2022-11-23T01:04:41.2076963Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'...
2022-11-23T01:04:41.4254047Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'...
2022-11-23T01:04:41.7079058Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/QNNPACK'...
2022-11-23T01:04:41.9733192Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2022-11-23T01:04:43.9217062Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2022-11-23T01:04:49.9527328Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2022-11-23T01:04:50.4390192Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2022-11-23T01:04:50.9241954Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cub'...
2022-11-23T01:04:52.3602946Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
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2022-11-23T01:06:04.9500526Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281'
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2022-11-23T01:06:05.4537264Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
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2022-11-23T01:06:05.7035995Z ##[endgroup]
2022-11-23T01:06:05.7036592Z ##[group]Persisting credentials for submodules
2022-11-23T01:06:05.7042764Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :
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2022-11-23T01:06:05.9339848Z Entering 'third_party/tensorpipe/third_party/pybind11'
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2022-11-23T01:06:05.9409245Z Entering 'third_party/zstd'
2022-11-23T01:06:05.9454748Z [command]/usr/bin/git submodule foreach --recursive git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url
2022-11-23T01:06:05.9711891Z Entering 'android/libs/fbjni'
2022-11-23T01:06:05.9744304Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2022-11-23T01:06:05.9758531Z Entering 'third_party/FP16'
2022-11-23T01:06:05.9790600Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2022-11-23T01:06:05.9805160Z Entering 'third_party/FXdiv'
2022-11-23T01:06:05.9836809Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2022-11-23T01:06:05.9850512Z Entering 'third_party/NNPACK'
2022-11-23T01:06:05.9882034Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2022-11-23T01:06:05.9896071Z Entering 'third_party/QNNPACK'
2022-11-23T01:06:05.9928231Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/QNNPACK/config	remote.origin.url
2022-11-23T01:06:05.9942391Z Entering 'third_party/VulkanMemoryAllocator'
2022-11-23T01:06:05.9974460Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
2022-11-23T01:06:05.9989579Z Entering 'third_party/XNNPACK'
2022-11-23T01:06:06.0020810Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2022-11-23T01:06:06.0045390Z Entering 'third_party/benchmark'
2022-11-23T01:06:06.0076611Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2022-11-23T01:06:06.0090018Z Entering 'third_party/cpuinfo'
2022-11-23T01:06:06.0121529Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2022-11-23T01:06:06.0136037Z Entering 'third_party/cub'
2022-11-23T01:06:06.0167320Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cub/config	remote.origin.url
2022-11-23T01:06:06.0181298Z Entering 'third_party/cudnn_frontend'
2022-11-23T01:06:06.0213115Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2022-11-23T01:06:06.0232550Z Entering 'third_party/cutlass'
2022-11-23T01:06:06.0263585Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
2022-11-23T01:06:06.0284743Z Entering 'third_party/eigen'
2022-11-23T01:06:06.0315626Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/eigen/config	remote.origin.url
2022-11-23T01:06:06.0331558Z Entering 'third_party/fbgemm'
2022-11-23T01:06:06.0364138Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2022-11-23T01:06:06.0378299Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-11-23T01:06:06.0410186Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/asmjit/config	remote.origin.url
2022-11-23T01:06:06.0423947Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-11-23T01:06:06.0455260Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/cpuinfo/config	remote.origin.url
2022-11-23T01:06:06.0469302Z Entering 'third_party/fbgemm/third_party/googletest'
2022-11-23T01:06:06.0501184Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/googletest/config	remote.origin.url
2022-11-23T01:06:06.0515529Z Entering 'third_party/fbgemm/third_party/hipify_torch'
2022-11-23T01:06:06.0546860Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/third_party/hipify_torch/config	remote.origin.url
2022-11-23T01:06:06.0562710Z Entering 'third_party/flatbuffers'
2022-11-23T01:06:06.0595002Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config	remote.origin.url
2022-11-23T01:06:06.0611638Z Entering 'third_party/fmt'
2022-11-23T01:06:06.0643716Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config	remote.origin.url
2022-11-23T01:06:06.0657663Z Entering 'third_party/foxi'
2022-11-23T01:06:06.0689985Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/foxi/config	remote.origin.url
2022-11-23T01:06:06.0704465Z Entering 'third_party/gemmlowp/gemmlowp'
2022-11-23T01:06:06.0736261Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config	remote.origin.url
2022-11-23T01:06:06.0749954Z Entering 'third_party/gloo'
2022-11-23T01:06:06.0781816Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config	remote.origin.url
2022-11-23T01:06:06.0795594Z Entering 'third_party/googletest'
2022-11-23T01:06:06.0827240Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config	remote.origin.url
2022-11-23T01:06:06.0841559Z Entering 'third_party/ideep'
2022-11-23T01:06:06.0874538Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config	remote.origin.url
2022-11-23T01:06:06.0887557Z Entering 'third_party/ideep/mkl-dnn'
2022-11-23T01:06:06.0919648Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config	remote.origin.url
2022-11-23T01:06:06.0935748Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-11-23T01:06:06.0968208Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/modules/third_party/oneDNN/config	remote.origin.url
2022-11-23T01:06:06.0988883Z Entering 'third_party/ios-cmake'
2022-11-23T01:06:06.1020505Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ios-cmake/config	remote.origin.url
2022-11-23T01:06:06.1034994Z Entering 'third_party/ittapi'
2022-11-23T01:06:06.1066744Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config	remote.origin.url
2022-11-23T01:06:06.1082923Z Entering 'third_party/kineto'
2022-11-23T01:06:06.1114614Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config	remote.origin.url
2022-11-23T01:06:06.1128409Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-11-23T01:06:06.1159523Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config	remote.origin.url
2022-11-23T01:06:06.1173072Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-11-23T01:06:06.1206795Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config	remote.origin.url
2022-11-23T01:06:06.1222300Z Entering 'third_party/nccl/nccl'
2022-11-23T01:06:06.1255643Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/nccl/nccl/config	remote.origin.url
2022-11-23T01:06:06.1269520Z Entering 'third_party/neon2sse'
2022-11-23T01:06:06.1301655Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/neon2sse/config	remote.origin.url
2022-11-23T01:06:06.1315697Z Entering 'third_party/nlohmann'
2022-11-23T01:06:06.1347843Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config	remote.origin.url
2022-11-23T01:06:06.1363966Z Entering 'third_party/onnx'
2022-11-23T01:06:06.1395118Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/config	remote.origin.url
2022-11-23T01:06:06.1421396Z Entering 'third_party/onnx/third_party/benchmark'
2022-11-23T01:06:06.1453865Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/benchmark/config	remote.origin.url
2022-11-23T01:06:06.1468371Z Entering 'third_party/onnx/third_party/pybind11'
2022-11-23T01:06:06.1499620Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config	remote.origin.url
2022-11-23T01:06:06.1515531Z Entering 'third_party/onnx-tensorrt'
2022-11-23T01:06:06.1548129Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/config	remote.origin.url
2022-11-23T01:06:06.1561320Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-11-23T01:06:06.1592671Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/config	remote.origin.url
2022-11-23T01:06:06.1611292Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-11-23T01:06:06.1643378Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/modules/third_party/benchmark/config	remote.origin.url
2022-11-23T01:06:06.1656976Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-11-23T01:06:06.1689616Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/modules/third_party/pybind11/config	remote.origin.url
2022-11-23T01:06:06.1703213Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-11-23T01:06:06.1735413Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx-tensorrt/modules/third_party/onnx/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
2022-11-23T01:06:06.1753598Z Entering 'third_party/pocketfft'
2022-11-23T01:06:06.1785399Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config	remote.origin.url
2022-11-23T01:06:06.1799726Z Entering 'third_party/protobuf'
2022-11-23T01:06:06.1831526Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config	remote.origin.url
2022-11-23T01:06:06.1849595Z Entering 'third_party/protobuf/third_party/benchmark'
2022-11-23T01:06:06.1881208Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config	remote.origin.url
2022-11-23T01:06:06.1894689Z Entering 'third_party/protobuf/third_party/googletest'
2022-11-23T01:06:06.1926087Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config	remote.origin.url
2022-11-23T01:06:06.1941609Z Entering 'third_party/psimd'
2022-11-23T01:06:06.1973651Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config	remote.origin.url
2022-11-23T01:06:06.1986993Z Entering 'third_party/pthreadpool'
2022-11-23T01:06:06.2019420Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config	remote.origin.url
2022-11-23T01:06:06.2033389Z Entering 'third_party/pybind11'
2022-11-23T01:06:06.2065109Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config	remote.origin.url
2022-11-23T01:06:06.2079599Z Entering 'third_party/python-enum'
2022-11-23T01:06:06.2110620Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-enum/config	remote.origin.url
2022-11-23T01:06:06.2125549Z Entering 'third_party/python-peachpy'
2022-11-23T01:06:06.2156954Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config	remote.origin.url
2022-11-23T01:06:06.2171661Z Entering 'third_party/python-six'
2022-11-23T01:06:06.2203014Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-six/config	remote.origin.url
2022-11-23T01:06:06.2217249Z Entering 'third_party/sleef'
2022-11-23T01:06:06.2249060Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config	remote.origin.url
2022-11-23T01:06:06.2263236Z Entering 'third_party/tbb'
2022-11-23T01:06:06.2295884Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tbb/config	remote.origin.url
2022-11-23T01:06:06.2311995Z Entering 'third_party/tensorpipe'
2022-11-23T01:06:06.2343938Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config	remote.origin.url
2022-11-23T01:06:06.2359499Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-11-23T01:06:06.2390116Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config	remote.origin.url
2022-11-23T01:06:06.2403674Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-11-23T01:06:06.2434265Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config	remote.origin.url
2022-11-23T01:06:06.2447901Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-11-23T01:06:06.2479159Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
2022-11-23T01:06:06.2493190Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-11-23T01:06:06.2525009Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config	remote.origin.url
2022-11-23T01:06:06.2538778Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-11-23T01:06:06.2570093Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
2022-11-23T01:06:06.2586781Z Entering 'third_party/zstd'
2022-11-23T01:06:06.2618871Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/zstd/config	remote.origin.url
2022-11-23T01:06:06.3151830Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2022-11-23T01:06:06.3412898Z Entering 'android/libs/fbjni'
2022-11-23T01:06:06.3447866Z Entering 'third_party/FP16'
2022-11-23T01:06:06.3483180Z Entering 'third_party/FXdiv'
2022-11-23T01:06:06.3516669Z Entering 'third_party/NNPACK'
2022-11-23T01:06:06.3551047Z Entering 'third_party/QNNPACK'
2022-11-23T01:06:06.3586210Z Entering 'third_party/VulkanMemoryAllocator'
2022-11-23T01:06:06.3621630Z Entering 'third_party/XNNPACK'
2022-11-23T01:06:06.3665877Z Entering 'third_party/benchmark'
2022-11-23T01:06:06.3699906Z Entering 'third_party/cpuinfo'
2022-11-23T01:06:06.3736653Z Entering 'third_party/cub'
2022-11-23T01:06:06.3770182Z Entering 'third_party/cudnn_frontend'
2022-11-23T01:06:06.3809733Z Entering 'third_party/cutlass'
2022-11-23T01:06:06.3850732Z Entering 'third_party/eigen'
2022-11-23T01:06:06.3887117Z Entering 'third_party/fbgemm'
2022-11-23T01:06:06.3920741Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-11-23T01:06:06.3953831Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-11-23T01:06:06.3988975Z Entering 'third_party/fbgemm/third_party/googletest'
2022-11-23T01:06:06.4021716Z Entering 'third_party/fbgemm/third_party/hipify_torch'
2022-11-23T01:06:06.4056917Z Entering 'third_party/flatbuffers'
2022-11-23T01:06:06.4092156Z Entering 'third_party/fmt'
2022-11-23T01:06:06.4126894Z Entering 'third_party/foxi'
2022-11-23T01:06:06.4161685Z Entering 'third_party/gemmlowp/gemmlowp'
2022-11-23T01:06:06.4195966Z Entering 'third_party/gloo'
2022-11-23T01:06:06.4230103Z Entering 'third_party/googletest'
2022-11-23T01:06:06.4264576Z Entering 'third_party/ideep'
2022-11-23T01:06:06.4298402Z Entering 'third_party/ideep/mkl-dnn'
2022-11-23T01:06:06.4335609Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-11-23T01:06:06.4375108Z Entering 'third_party/ios-cmake'
2022-11-23T01:06:06.4409639Z Entering 'third_party/ittapi'
2022-11-23T01:06:06.4443485Z Entering 'third_party/kineto'
2022-11-23T01:06:06.4478867Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-11-23T01:06:06.4512362Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-11-23T01:06:06.4547415Z Entering 'third_party/nccl/nccl'
2022-11-23T01:06:06.4582712Z Entering 'third_party/neon2sse'
2022-11-23T01:06:06.4617931Z Entering 'third_party/nlohmann'
2022-11-23T01:06:06.4653772Z Entering 'third_party/onnx'
2022-11-23T01:06:06.4701757Z Entering 'third_party/onnx/third_party/benchmark'
2022-11-23T01:06:06.4736142Z Entering 'third_party/onnx/third_party/pybind11'
2022-11-23T01:06:06.4772549Z Entering 'third_party/onnx-tensorrt'
2022-11-23T01:06:06.4806420Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-11-23T01:06:06.4844229Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-11-23T01:06:06.4879740Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-11-23T01:06:06.4912757Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-11-23T01:06:06.4950994Z Entering 'third_party/pocketfft'
2022-11-23T01:06:06.4985210Z Entering 'third_party/protobuf'
2022-11-23T01:06:06.5022171Z Entering 'third_party/protobuf/third_party/benchmark'
2022-11-23T01:06:06.5055740Z Entering 'third_party/protobuf/third_party/googletest'
2022-11-23T01:06:06.5090344Z Entering 'third_party/psimd'
2022-11-23T01:06:06.5124682Z Entering 'third_party/pthreadpool'
2022-11-23T01:06:06.5158501Z Entering 'third_party/pybind11'
2022-11-23T01:06:06.5192764Z Entering 'third_party/python-enum'
2022-11-23T01:06:06.5227104Z Entering 'third_party/python-peachpy'
2022-11-23T01:06:06.5261127Z Entering 'third_party/python-six'
2022-11-23T01:06:06.5294784Z Entering 'third_party/sleef'
2022-11-23T01:06:06.5328767Z Entering 'third_party/tbb'
2022-11-23T01:06:06.5365327Z Entering 'third_party/tensorpipe'
2022-11-23T01:06:06.5400417Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-11-23T01:06:06.5434516Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-11-23T01:06:06.5468052Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-11-23T01:06:06.5501429Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-11-23T01:06:06.5534526Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-11-23T01:06:06.5570660Z Entering 'third_party/zstd'
2022-11-23T01:06:06.5615463Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2022-11-23T01:06:06.5876353Z Entering 'android/libs/fbjni'
2022-11-23T01:06:06.5910259Z Entering 'third_party/FP16'
2022-11-23T01:06:06.5945170Z Entering 'third_party/FXdiv'
2022-11-23T01:06:06.5981178Z Entering 'third_party/NNPACK'
2022-11-23T01:06:06.6015918Z Entering 'third_party/QNNPACK'
2022-11-23T01:06:06.6050394Z Entering 'third_party/VulkanMemoryAllocator'
2022-11-23T01:06:06.6092050Z Entering 'third_party/XNNPACK'
2022-11-23T01:06:06.6136237Z Entering 'third_party/benchmark'
2022-11-23T01:06:06.6169803Z Entering 'third_party/cpuinfo'
2022-11-23T01:06:06.6205830Z Entering 'third_party/cub'
2022-11-23T01:06:06.6239700Z Entering 'third_party/cudnn_frontend'
2022-11-23T01:06:06.6278172Z Entering 'third_party/cutlass'
2022-11-23T01:06:06.6319660Z Entering 'third_party/eigen'
2022-11-23T01:06:06.6354603Z Entering 'third_party/fbgemm'
2022-11-23T01:06:06.6388571Z Entering 'third_party/fbgemm/third_party/asmjit'
2022-11-23T01:06:06.6448369Z Entering 'third_party/fbgemm/third_party/cpuinfo'
2022-11-23T01:06:06.6455139Z Entering 'third_party/fbgemm/third_party/googletest'
2022-11-23T01:06:06.6488666Z Entering 'third_party/fbgemm/third_party/hipify_torch'
2022-11-23T01:06:06.6522693Z Entering 'third_party/flatbuffers'
2022-11-23T01:06:06.6558470Z Entering 'third_party/fmt'
2022-11-23T01:06:06.6591810Z Entering 'third_party/foxi'
2022-11-23T01:06:06.6625377Z Entering 'third_party/gemmlowp/gemmlowp'
2022-11-23T01:06:06.6660560Z Entering 'third_party/gloo'
2022-11-23T01:06:06.6694152Z Entering 'third_party/googletest'
2022-11-23T01:06:06.6728441Z Entering 'third_party/ideep'
2022-11-23T01:06:06.6762148Z Entering 'third_party/ideep/mkl-dnn'
2022-11-23T01:06:06.6797335Z Entering 'third_party/ideep/mkl-dnn/third_party/oneDNN'
2022-11-23T01:06:06.6837664Z Entering 'third_party/ios-cmake'
2022-11-23T01:06:06.6872111Z Entering 'third_party/ittapi'
2022-11-23T01:06:06.6906742Z Entering 'third_party/kineto'
2022-11-23T01:06:06.6940420Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2022-11-23T01:06:06.6973505Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2022-11-23T01:06:06.7008350Z Entering 'third_party/nccl/nccl'
2022-11-23T01:06:06.7043079Z Entering 'third_party/neon2sse'
2022-11-23T01:06:06.7076454Z Entering 'third_party/nlohmann'
2022-11-23T01:06:06.7111560Z Entering 'third_party/onnx'
2022-11-23T01:06:06.7158063Z Entering 'third_party/onnx/third_party/benchmark'
2022-11-23T01:06:06.7192434Z Entering 'third_party/onnx/third_party/pybind11'
2022-11-23T01:06:06.7227956Z Entering 'third_party/onnx-tensorrt'
2022-11-23T01:06:06.7261678Z Entering 'third_party/onnx-tensorrt/third_party/onnx'
2022-11-23T01:06:06.7302142Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark'
2022-11-23T01:06:06.7336327Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11'
2022-11-23T01:06:06.7369177Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang'
2022-11-23T01:06:06.7407226Z Entering 'third_party/pocketfft'
2022-11-23T01:06:06.7441424Z Entering 'third_party/protobuf'
2022-11-23T01:06:06.7478980Z Entering 'third_party/protobuf/third_party/benchmark'
2022-11-23T01:06:06.7512630Z Entering 'third_party/protobuf/third_party/googletest'
2022-11-23T01:06:06.7548756Z Entering 'third_party/psimd'
2022-11-23T01:06:06.7583678Z Entering 'third_party/pthreadpool'
2022-11-23T01:06:06.7617313Z Entering 'third_party/pybind11'
2022-11-23T01:06:06.7652672Z Entering 'third_party/python-enum'
2022-11-23T01:06:06.7687603Z Entering 'third_party/python-peachpy'
2022-11-23T01:06:06.7722371Z Entering 'third_party/python-six'
2022-11-23T01:06:06.7756669Z Entering 'third_party/sleef'
2022-11-23T01:06:06.7791908Z Entering 'third_party/tbb'
2022-11-23T01:06:06.7828093Z Entering 'third_party/tensorpipe'
2022-11-23T01:06:06.7862694Z Entering 'third_party/tensorpipe/third_party/googletest'
2022-11-23T01:06:06.7896576Z Entering 'third_party/tensorpipe/third_party/libnop'
2022-11-23T01:06:06.7930074Z Entering 'third_party/tensorpipe/third_party/libuv'
2022-11-23T01:06:06.7964012Z Entering 'third_party/tensorpipe/third_party/pybind11'
2022-11-23T01:06:06.7997077Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2022-11-23T01:06:06.8032754Z Entering 'third_party/zstd'
2022-11-23T01:06:06.8074864Z ##[endgroup]
2022-11-23T01:06:06.8118642Z [command]/usr/bin/git log -1 --format='%H'
2022-11-23T01:06:06.8143666Z '1cfd3858ac54fe3883534309081631a0a892ba3f'
2022-11-23T01:06:06.8259246Z Prepare all required actions
2022-11-23T01:06:06.8283349Z ##[group]Run ./.github/actions/setup-linux
2022-11-23T01:06:06.8283548Z env:
2022-11-23T01:06:06.8283730Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:06:06.8283905Z ##[endgroup]
2022-11-23T01:06:06.8297208Z ##[group]Run set -euo pipefail
2022-11-23T01:06:06.8297444Z set -euo pipefail
2022-11-23T01:06:06.8297659Z function get_ec2_metadata() {
2022-11-23T01:06:06.8297980Z   # Pulled from instance metadata endpoint for EC2
2022-11-23T01:06:06.8298336Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2022-11-23T01:06:06.8298637Z   category=$1
2022-11-23T01:06:06.8298880Z   curl -fsSL "http://169.254.169.254/latest/meta-data/${category}"
2022-11-23T01:06:06.8299092Z }
2022-11-23T01:06:06.8299295Z echo "ami-id: $(get_ec2_metadata ami-id)"
2022-11-23T01:06:06.8299582Z echo "instance-id: $(get_ec2_metadata instance-id)"
2022-11-23T01:06:06.8299847Z echo "instance-type: $(get_ec2_metadata instance-type)"
2022-11-23T01:06:06.8300100Z echo "system info $(uname -a)"
2022-11-23T01:06:06.8311660Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:06:06.8311865Z env:
2022-11-23T01:06:06.8312046Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:06:06.8312238Z ##[endgroup]
2022-11-23T01:06:06.8388283Z ami-id: ami-096198a0bccc6bad4
2022-11-23T01:06:06.8438025Z instance-id: i-05e6c9e8387fe80fe
2022-11-23T01:06:06.8485645Z instance-type: c5.2xlarge
2022-11-23T01:06:06.8492377Z system info Linux ip-10-0-11-228.ec2.internal 4.14.252-195.483.amzn2.x86_64 #1 SMP Mon Nov 1 20:58:46 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux
2022-11-23T01:06:06.8506590Z ##[group]Run if systemctl is-active --quiet docker; then
2022-11-23T01:06:06.8506877Z if systemctl is-active --quiet docker; then
2022-11-23T01:06:06.8507110Z     echo "Docker daemon is running...";
2022-11-23T01:06:06.8507325Z else
2022-11-23T01:06:06.8507562Z     echo "Starting docker deamon..." && sudo systemctl start docker;
2022-11-23T01:06:06.8507776Z fi
2022-11-23T01:06:06.8518807Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:06:06.8519026Z env:
2022-11-23T01:06:06.8519189Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:06:06.8519379Z ##[endgroup]
2022-11-23T01:06:06.8558823Z Docker daemon is running...
2022-11-23T01:06:06.8572191Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2022-11-23T01:06:06.8572543Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2022-11-23T01:06:06.8572829Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2022-11-23T01:06:06.8573212Z retry aws ecr get-login*** "$AWS_DEFAULT_REGION" | docker login --username AWS \
2022-11-23T01:06:06.8573549Z     --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"
2022-11-23T01:06:06.8584000Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:06:06.8584220Z env:
2022-11-23T01:06:06.8584381Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:06:06.8584577Z   AWS_RETRY_MODE: standard
2022-11-23T01:06:06.8584768Z   AWS_MAX_ATTEMPTS: 5
2022-11-23T01:06:06.8584949Z   AWS_DEFAULT_REGION: us-east-1
2022-11-23T01:06:06.8585140Z ##[endgroup]
2022-11-23T01:06:07.9913314Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2022-11-23T01:06:07.9913692Z Configure a credential helper to remove this warning. See
2022-11-23T01:06:07.9914106Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2022-11-23T01:06:07.9914320Z 
2022-11-23T01:06:07.9914656Z Login Succeeded
2022-11-23T01:06:07.9942379Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2022-11-23T01:06:07.9942699Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2022-11-23T01:06:07.9943054Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2022-11-23T01:06:07.9954371Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:06:07.9954590Z env:
2022-11-23T01:06:07.9954767Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:06:07.9954955Z ##[endgroup]
2022-11-23T01:06:08.0025468Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2022-11-23T01:06:08.0025719Z with:
2022-11-23T01:06:08.0026047Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3-clang7-asan:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T01:06:08.0026549Z env:
2022-11-23T01:06:08.0026719Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:06:08.0026890Z ##[endgroup]
2022-11-23T01:06:08.0038589Z ##[group]Run retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2022-11-23T01:06:08.0038857Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2022-11-23T01:06:08.0039125Z # ignore output since only exit code is used for conditional
2022-11-23T01:06:08.0039404Z # only pull docker image if it's not available locally
2022-11-23T01:06:08.0039685Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2022-11-23T01:06:08.0039988Z   retry docker pull "${DOCKER_IMAGE}"
2022-11-23T01:06:08.0040184Z fi
2022-11-23T01:06:08.0050730Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:06:08.0050954Z env:
2022-11-23T01:06:08.0051128Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:06:08.0051480Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3-clang7-asan:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T01:06:08.0051816Z ##[endgroup]
2022-11-23T01:06:08.2170288Z 072aae4a77ed7d3a69ad5683420509c41301b940: Pulling from pytorch/pytorch-linux-focal-py3-clang7-asan
2022-11-23T01:06:08.2180107Z eaead16dc43b: Pulling fs layer
2022-11-23T01:06:08.2180883Z 08e28b7f24cb: Pulling fs layer
2022-11-23T01:06:08.2181350Z eb222a67db4e: Pulling fs layer
2022-11-23T01:06:08.2181842Z a078424009f8: Pulling fs layer
2022-11-23T01:06:08.2182147Z 1fa5e26d1ca7: Pulling fs layer
2022-11-23T01:06:08.2182473Z 53d1f50f21ef: Pulling fs layer
2022-11-23T01:06:08.2182832Z 00f031ea3c8c: Pulling fs layer
2022-11-23T01:06:08.2183229Z 911da22359ac: Pulling fs layer
2022-11-23T01:06:08.2183548Z e55f0bb146cc: Pulling fs layer
2022-11-23T01:06:08.2183876Z d06627288bfc: Pulling fs layer
2022-11-23T01:06:08.2184224Z 01cb44a1f67d: Pulling fs layer
2022-11-23T01:06:08.2184529Z fbf4015cea9c: Pulling fs layer
2022-11-23T01:06:08.2184853Z 4470167dbba6: Pulling fs layer
2022-11-23T01:06:08.2185180Z 0c5a059e08e3: Pulling fs layer
2022-11-23T01:06:08.2185508Z 62c192e2f160: Pulling fs layer
2022-11-23T01:06:08.2185833Z 53d1f50f21ef: Waiting
2022-11-23T01:06:08.2186207Z a078424009f8: Waiting
2022-11-23T01:06:08.2186520Z 5f223392c464: Pulling fs layer
2022-11-23T01:06:08.2186834Z 00f031ea3c8c: Waiting
2022-11-23T01:06:08.2187122Z 1fa5e26d1ca7: Waiting
2022-11-23T01:06:08.2187332Z a5af83dc28e1: Pulling fs layer
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2022-11-23T01:06:08.2187720Z b21c8a1183c2: Pulling fs layer
2022-11-23T01:06:08.2187884Z 4470167dbba6: Waiting
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2022-11-23T01:06:08.2188247Z 0c5a059e08e3: Waiting
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2022-11-23T01:06:08.2188606Z 41863efab66f: Pulling fs layer
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2022-11-23T01:06:08.2188987Z 500edc8daf67: Pulling fs layer
2022-11-23T01:06:08.2189156Z 01cb44a1f67d: Waiting
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2022-11-23T01:06:08.2189710Z 9fca8e90ea14: Pulling fs layer
2022-11-23T01:06:08.2189887Z 62c192e2f160: Waiting
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2022-11-23T01:06:08.2190230Z fbf4015cea9c: Waiting
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2022-11-23T01:06:08.2190595Z 5f223392c464: Waiting
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2022-11-23T01:06:08.2191137Z a5af83dc28e1: Waiting
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2022-11-23T01:06:08.2191654Z c89ca147ba1f: Waiting
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2022-11-23T01:06:08.2192004Z 289b3326fa6f: Waiting
2022-11-23T01:06:08.2192232Z b21c8a1183c2: Waiting
2022-11-23T01:06:08.2192410Z 2a93d1c532e9: Pulling fs layer
2022-11-23T01:06:08.2192574Z 350dd27d9107: Waiting
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2022-11-23T01:06:08.2193106Z 41863efab66f: Waiting
2022-11-23T01:06:08.2193277Z d7ba7a711cfa: Waiting
2022-11-23T01:06:08.2193460Z c05e93bbbd14: Pulling fs layer
2022-11-23T01:06:08.2193640Z b1cd3060e8ff: Pulling fs layer
2022-11-23T01:06:08.2193821Z 9fca8e90ea14: Waiting
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2022-11-23T01:06:08.2194160Z b5865c71d56b: Pulling fs layer
2022-11-23T01:06:08.2194334Z 2e2e44b7420a: Waiting
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2022-11-23T01:06:08.2194684Z e26881ee0bd3: Waiting
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2022-11-23T01:06:08.2195057Z afa9b29a37b1: Waiting
2022-11-23T01:06:08.2195226Z e13059f04844: Pulling fs layer
2022-11-23T01:06:08.2195416Z c440f1c811ae: Pulling fs layer
2022-11-23T01:06:08.2195598Z b38de0885489: Waiting
2022-11-23T01:06:08.2195768Z 3d2147d6d5da: Waiting
2022-11-23T01:06:08.2195937Z 5dc337bfe0d0: Pulling fs layer
2022-11-23T01:06:08.2196119Z 500edc8daf67: Waiting
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2022-11-23T01:06:08.2196467Z 2a93d1c532e9: Waiting
2022-11-23T01:06:08.2196637Z b1cd3060e8ff: Waiting
2022-11-23T01:06:08.2196816Z 561a5a0b635e: Pulling fs layer
2022-11-23T01:06:08.2196995Z baa2fdf41367: Pulling fs layer
2022-11-23T01:06:08.2197596Z 737ef663d6b3: Waiting
2022-11-23T01:06:08.2197769Z b5865c71d56b: Waiting
2022-11-23T01:06:08.2198024Z ceb442905740: Pulling fs layer
2022-11-23T01:06:08.2198204Z 8d9c024a83d7: Waiting
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2022-11-23T01:06:08.2198596Z c05e93bbbd14: Waiting
2022-11-23T01:06:08.2198832Z ce571b4fb113: Waiting
2022-11-23T01:06:08.2199011Z c947c5c2d653: Pulling fs layer
2022-11-23T01:06:08.2199180Z 06ba93e61fad: Waiting
2022-11-23T01:06:08.2199442Z bda70097328a: Pulling fs layer
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2022-11-23T01:06:08.2199847Z 8ff663750733: Pulling fs layer
2022-11-23T01:06:08.2200027Z e55f0bb146cc: Waiting
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2022-11-23T01:06:08.2200609Z 0d5648f290ac: Waiting
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2022-11-23T01:06:08.2200971Z ceb442905740: Waiting
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2022-11-23T01:06:08.2202050Z 17c6ff666fd4: Pulling fs layer
2022-11-23T01:06:08.2202237Z c947c5c2d653: Waiting
2022-11-23T01:06:08.2202405Z 198ac061e737: Waiting
2022-11-23T01:06:08.2202567Z 95ed7b17f236: Waiting
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2022-11-23T01:06:08.2203382Z 8ff663750733: Waiting
2022-11-23T01:06:08.2963166Z 08e28b7f24cb: Verifying Checksum
2022-11-23T01:06:08.2963604Z 08e28b7f24cb: Download complete
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2022-11-23T01:06:08.5530603Z eaead16dc43b: Verifying Checksum
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2022-11-23T01:06:08.6877044Z 00f031ea3c8c: Verifying Checksum
2022-11-23T01:06:08.7602836Z 911da22359ac: Download complete
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2022-11-23T01:06:08.8939055Z d06627288bfc: Verifying Checksum
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2022-11-23T01:06:09.2186892Z 62c192e2f160: Download complete
2022-11-23T01:06:09.2709274Z eaead16dc43b: Pull complete
2022-11-23T01:06:09.2902613Z 5f223392c464: Download complete
2022-11-23T01:06:09.3708628Z a5af83dc28e1: Verifying Checksum
2022-11-23T01:06:09.3708985Z a5af83dc28e1: Download complete
2022-11-23T01:06:09.3781928Z 08e28b7f24cb: Pull complete
2022-11-23T01:06:09.4683671Z c89ca147ba1f: Verifying Checksum
2022-11-23T01:06:09.4684025Z c89ca147ba1f: Download complete
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2022-11-23T01:06:09.6611085Z 289b3326fa6f: Verifying Checksum
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2022-11-23T01:06:11.6296170Z afa9b29a37b1: Download complete
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2022-11-23T01:06:11.7796222Z 2a93d1c532e9: Verifying Checksum
2022-11-23T01:06:11.7797090Z 2a93d1c532e9: Download complete
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2022-11-23T01:06:12.3113403Z 06ba93e61fad: Verifying Checksum
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2022-11-23T01:06:12.3822441Z e13059f04844: Download complete
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2022-11-23T01:06:14.0772317Z 7d6c1ba98c17: Verifying Checksum
2022-11-23T01:06:14.1386203Z 7d6c1ba98c17: Download complete
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2022-11-23T01:07:04.0817316Z Digest: sha256:34e1bcba9828261caa1c7fe4033262dcda23b44eddd67475534e3a1447bdd75d
2022-11-23T01:07:04.0860934Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3-clang7-asan:072aae4a77ed7d3a69ad5683420509c41301b940
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2022-11-23T01:07:04.0935587Z ##[group]Run python3 -m pip install psutil==5.9.1
2022-11-23T01:07:04.0935863Z python3 -m pip install psutil==5.9.1
2022-11-23T01:07:04.0936086Z python3 -m pip install pynvml==11.4.1
2022-11-23T01:07:04.0936342Z python3 -m tools.stats.monitor > usage_log.txt 2>&1 &
2022-11-23T01:07:04.0936617Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2022-11-23T01:07:04.0948066Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:07:04.0948285Z env:
2022-11-23T01:07:04.0948458Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:07:04.0948631Z ##[endgroup]
2022-11-23T01:07:04.3078543Z Defaulting to user installation because normal site-packages is not writeable
2022-11-23T01:07:04.3261835Z Requirement already satisfied: psutil==5.9.1 in /home/ec2-user/.local/lib/python3.7/site-packages (5.9.1)
2022-11-23T01:07:04.7455889Z Defaulting to user installation because normal site-packages is not writeable
2022-11-23T01:07:04.7641054Z Requirement already satisfied: pynvml==11.4.1 in /home/ec2-user/.local/lib/python3.7/site-packages (11.4.1)
2022-11-23T01:07:04.9787297Z Prepare all required actions
2022-11-23T01:07:04.9787569Z Getting action download info
2022-11-23T01:07:05.1746292Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:4a8bfae15cc25cc0785c1603ee87a9da8fd442ea)
2022-11-23T01:07:05.5593541Z Download action repository 'actions/download-artifact@v3' (SHA:9782bd6a9848b53b110e712e20e42d89988822b7)
2022-11-23T01:07:05.7010918Z ##[group]Run ./.github/actions/download-build-artifacts
2022-11-23T01:07:05.7011147Z with:
2022-11-23T01:07:05.7011344Z   name: linux-focal-py3.7-clang7-asan
2022-11-23T01:07:05.7011525Z env:
2022-11-23T01:07:05.7011692Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:07:05.7011939Z ##[endgroup]
2022-11-23T01:07:05.7056987Z ##[group]Run seemethere/download-artifact-s3@v4
2022-11-23T01:07:05.7057206Z with:
2022-11-23T01:07:05.7057387Z   name: linux-focal-py3.7-clang7-asan
2022-11-23T01:07:05.7057600Z   s3-bucket: gha-artifacts
2022-11-23T01:07:05.7057823Z   region: us-east-1
2022-11-23T01:07:05.7058004Z env:
2022-11-23T01:07:05.7058173Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:07:05.7058370Z ##[endgroup]
2022-11-23T01:07:06.1241562Z Found 1 objects with prefix pytorch/pytorch/3528293562/linux-focal-py3.7-clang7-asan/
2022-11-23T01:07:06.1242045Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2022-11-23T01:07:17.6283248Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2022-11-23T01:07:17.6283493Z 
2022-11-23T01:07:17.6297675Z ##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/
2022-11-23T01:07:17.6304961Z Artifact download has finished successfully
2022-11-23T01:07:17.6400735Z ##[group]Run unzip -o artifacts.zip
2022-11-23T01:07:17.6400962Z unzip -o artifacts.zip
2022-11-23T01:07:17.6412164Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:07:17.6412367Z env:
2022-11-23T01:07:17.6412542Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:07:17.6412730Z ##[endgroup]
2022-11-23T01:07:17.6447572Z Archive:  artifacts.zip
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2022-11-23T01:07:30.3358664Z    creating: build/bin/
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2022-11-23T01:07:32.2471492Z   inflating: build/bin/type_test     
2022-11-23T01:07:32.2613471Z   inflating: build/bin/variant_test  
2022-11-23T01:07:32.2763825Z   inflating: build/bin/undefined_tensor_test  
2022-11-23T01:07:32.2765375Z   inflating: build/bin/verify_api_visibility  
2022-11-23T01:07:32.2963320Z   inflating: build/bin/vmap_test     
2022-11-23T01:07:32.3111325Z   inflating: build/bin/weakref_test  
2022-11-23T01:07:32.3257566Z   inflating: build/bin/wrapdim_test  
2022-11-23T01:07:32.3398946Z   inflating: build/bin/xla_tensor_test  
2022-11-23T01:07:32.3566737Z   inflating: build/bin/IListRef_test  
2022-11-23T01:07:32.3811864Z   inflating: build/bin/List_test     
2022-11-23T01:07:32.4170664Z   inflating: build/bin/kernel_function_legacy_test  
2022-11-23T01:07:32.4357604Z   inflating: build/bin/KernelFunction_test  
2022-11-23T01:07:32.4635253Z   inflating: build/bin/kernel_function_test  
2022-11-23T01:07:32.5023210Z   inflating: build/bin/kernel_lambda_legacy_test  
2022-11-23T01:07:32.5334958Z   inflating: build/bin/kernel_lambda_test  
2022-11-23T01:07:32.5509474Z   inflating: build/bin/kernel_stackbased_test  
2022-11-23T01:07:32.5653696Z   inflating: build/bin/CppSignature_test  
2022-11-23T01:07:32.5935373Z   inflating: build/bin/make_boxed_from_unboxed_functor_test  
2022-11-23T01:07:32.6074901Z   inflating: build/bin/op_allowlist_test  
2022-11-23T01:07:32.6236400Z   inflating: build/bin/backend_fallback_test  
2022-11-23T01:07:32.7187864Z   inflating: build/bin/op_registration_test  
2022-11-23T01:07:32.7335843Z   inflating: build/bin/inline_container_test  
2022-11-23T01:07:32.7378625Z   inflating: build/bin/tutorial_tensorexpr  
2022-11-23T01:07:32.7537269Z   inflating: build/bin/test_dist_autograd  
2022-11-23T01:07:32.7754259Z   inflating: build/bin/test_cpp_rpc  
2022-11-23T01:07:32.7759398Z   inflating: build/bin/parallel_benchmark  
2022-11-23T01:07:32.9622822Z   inflating: build/bin/test_tensorexpr  
2022-11-23T01:07:33.0454453Z   inflating: build/bin/test_lazy     
2022-11-23T01:07:33.0470278Z   inflating: build/bin/torch_shm_manager  
2022-11-23T01:07:33.3675856Z   inflating: build/bin/test_api      
2022-11-23T01:07:33.5443125Z   inflating: build/bin/test_jit      
2022-11-23T01:07:33.5443676Z   inflating: .pytorch-test-times.json  
2022-11-23T01:07:33.5470151Z ##[group]Run df -H
2022-11-23T01:07:33.5470448Z df -H
2022-11-23T01:07:33.5956426Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T01:07:33.5956644Z env:
2022-11-23T01:07:33.5956824Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:07:33.5957023Z ##[endgroup]
2022-11-23T01:07:33.6266122Z Filesystem      Size  Used Avail Use% Mounted on
2022-11-23T01:07:33.6266496Z devtmpfs        8.2G     0  8.2G   0% /dev
2022-11-23T01:07:33.6268016Z tmpfs           8.2G  5.1M  8.2G   1% /dev/shm
2022-11-23T01:07:33.6268298Z tmpfs           8.2G  431k  8.2G   1% /run
2022-11-23T01:07:33.6268843Z tmpfs           8.2G     0  8.2G   0% /sys/fs/cgroup
2022-11-23T01:07:33.6269069Z /dev/nvme0n1p1  162G   19G  143G  12% /
2022-11-23T01:07:33.6342675Z ##[group]Run .github/scripts/parse_ref.py
2022-11-23T01:07:33.6342908Z .github/scripts/parse_ref.py
2022-11-23T01:07:33.6353988Z shell: /usr/bin/bash -e {0}
2022-11-23T01:07:33.6354169Z env:
2022-11-23T01:07:33.6354328Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:07:33.6354513Z ##[endgroup]
2022-11-23T01:07:33.7193723Z ##[group]Run set -x
2022-11-23T01:07:33.7194100Z set -x
2022-11-23T01:07:33.7194267Z 
2022-11-23T01:07:33.7194448Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2022-11-23T01:07:33.7194703Z   TEST_COMMAND=.jenkins/pytorch/multigpu-test.sh
2022-11-23T01:07:33.7194958Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2022-11-23T01:07:33.7195181Z   TEST_COMMAND=.jenkins/caffe2/test.sh
2022-11-23T01:07:33.7195378Z else
2022-11-23T01:07:33.7195581Z   TEST_COMMAND=.jenkins/pytorch/test.sh
2022-11-23T01:07:33.7195777Z fi
2022-11-23T01:07:33.7195919Z 
2022-11-23T01:07:33.7196150Z COMMIT_MESSAGES=$(git cherry -v "origin/${GIT_DEFAULT_BRANCH:-master}")
2022-11-23T01:07:33.7196380Z 
2022-11-23T01:07:33.7196581Z # sanitize the input commit message and PR body here:
2022-11-23T01:07:33.7196790Z #
2022-11-23T01:07:33.7197067Z # trim all new lines from commit messages + PR_BODY to avoid issues with batch environment
2022-11-23T01:07:33.7197604Z # variable copying. see https://github.com/pytorch/pytorch/pull/80043#issuecomment-1167796028
2022-11-23T01:07:33.7197916Z COMMIT_MESSAGES="${COMMIT_MESSAGES//[$'\n\r']}"
2022-11-23T01:07:33.7198143Z PR_BODY="${PR_BODY//[$'\n\r']}"
2022-11-23T01:07:33.7198314Z 
2022-11-23T01:07:33.7198571Z # then trim all special characters like single and double quotes to avoid unescaped inputs to
2022-11-23T01:07:33.7198849Z # wreak havoc internally
2022-11-23T01:07:33.7199081Z export COMMIT_MESSAGES="${COMMIT_MESSAGES//[\'\"]}"
2022-11-23T01:07:33.7199306Z export PR_BODY="${PR_BODY//[\'\"]}"
2022-11-23T01:07:33.7199491Z 
2022-11-23T01:07:33.7199712Z # detached container should get cleaned up by teardown_ec2_linux
2022-11-23T01:07:33.7199992Z # TODO: Stop building test binaries as part of the build phase
2022-11-23T01:07:33.7200261Z # Used for GPU_FLAG since that doesn't play nice
2022-11-23T01:07:33.7200495Z # shellcheck disable=SC2086,SC2090
2022-11-23T01:07:33.7200713Z container_name=$(docker run \
2022-11-23T01:07:33.7200900Z   ${GPU_FLAG:-} \
2022-11-23T01:07:33.7201095Z   -e BUILD_ENVIRONMENT \
2022-11-23T01:07:33.7201290Z   -e PR_NUMBER \
2022-11-23T01:07:33.7201466Z   -e GITHUB_ACTIONS \
2022-11-23T01:07:33.7201653Z   -e BASE_SHA \
2022-11-23T01:07:33.7201834Z   -e BRANCH \
2022-11-23T01:07:33.7201995Z   -e SHA1 \
2022-11-23T01:07:33.7202179Z   -e AWS_DEFAULT_REGION \
2022-11-23T01:07:33.7202372Z   -e IN_WHEEL_TEST \
2022-11-23T01:07:33.7202547Z   -e SHARD_NUMBER \
2022-11-23T01:07:33.7202731Z   -e TEST_CONFIG \
2022-11-23T01:07:33.7202918Z   -e NUM_TEST_SHARDS \
2022-11-23T01:07:33.7203091Z   -e PR_BODY \
2022-11-23T01:07:33.7203277Z   -e COMMIT_MESSAGES \
2022-11-23T01:07:33.7203483Z   -e PYTORCH_RETRY_TEST_CASES \
2022-11-23T01:07:33.7203697Z   -e PYTORCH_OVERRIDE_FLAKY_SIGNAL \
2022-11-23T01:07:33.7203900Z   -e PR_LABELS \
2022-11-23T01:07:33.7204107Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2022-11-23T01:07:33.7204314Z   -e SCCACHE_BUCKET \
2022-11-23T01:07:33.7204501Z   -e SCCACHE_S3_KEY_PREFIX \
2022-11-23T01:07:33.7204692Z   -e XLA_CUDA \
2022-11-23T01:07:33.7205014Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2022-11-23T01:07:33.7205233Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2022-11-23T01:07:33.7205473Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2022-11-23T01:07:33.7205725Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2022-11-23T01:07:33.7205947Z   --ulimit stack=10485760:83886080 \
2022-11-23T01:07:33.7206174Z   --security-opt seccomp=unconfined \
2022-11-23T01:07:33.7206449Z   --cap-add=SYS_PTRACE \
2022-11-23T01:07:33.7206643Z   --ipc=host \
2022-11-23T01:07:33.7206821Z   --shm-size="${SHM_SIZE}" \
2022-11-23T01:07:33.7207008Z   --tty \
2022-11-23T01:07:33.7207179Z   --detach \
2022-11-23T01:07:33.7207359Z   --name="${container_name}" \
2022-11-23T01:07:33.7207558Z   --user jenkins \
2022-11-23T01:07:33.7207788Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2022-11-23T01:07:33.7208025Z   -w /var/lib/jenkins/workspace \
2022-11-23T01:07:33.7208228Z   "${DOCKER_IMAGE}"
2022-11-23T01:07:33.7208402Z )
2022-11-23T01:07:33.7208606Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2022-11-23T01:07:33.7208936Z docker exec -t "${container_name}" sh -c "pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2022-11-23T01:07:33.7220151Z shell: /usr/bin/bash -e {0}
2022-11-23T01:07:33.7220325Z env:
2022-11-23T01:07:33.7220502Z   GIT_DEFAULT_BRANCH: master
2022-11-23T01:07:33.7220746Z   BUILD_ENVIRONMENT: linux-focal-py3.7-clang7-asan
2022-11-23T01:07:33.7220966Z   PR_NUMBER: 
2022-11-23T01:07:33.7221122Z   BRANCH: master
2022-11-23T01:07:33.7221319Z   SHA1: 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:07:33.7221548Z   BASE_SHA: 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:07:33.7221750Z   PYTORCH_RETRY_TEST_CASES: 1
2022-11-23T01:07:33.7221956Z   PYTORCH_OVERRIDE_FLAKY_SIGNAL: 1
2022-11-23T01:07:33.7222159Z   TEST_CONFIG: default
2022-11-23T01:07:33.7222321Z   SHARD_NUMBER: 2
2022-11-23T01:07:33.7222491Z   NUM_TEST_SHARDS: 5
2022-11-23T01:07:33.7222662Z   PR_BODY: 
2022-11-23T01:07:33.7222871Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2022-11-23T01:07:33.7223109Z   SCCACHE_S3_KEY_PREFIX: pull
2022-11-23T01:07:33.7223289Z   SHM_SIZE: 1g
2022-11-23T01:07:33.7223624Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3-clang7-asan:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T01:07:33.7223951Z   XLA_CUDA: 
2022-11-23T01:07:33.7224209Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2022-11-23T01:07:33.7224489Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2022-11-23T01:07:33.7224695Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2022-11-23T01:07:33.7224890Z ##[endgroup]
2022-11-23T01:07:33.7249997Z + [[ default == \m\u\l\t\i\g\p\u ]]
2022-11-23T01:07:33.7250590Z + [[ linux-focal-py3.7-clang7-asan == *onnx* ]]
2022-11-23T01:07:33.7250927Z + TEST_COMMAND=.jenkins/pytorch/test.sh
2022-11-23T01:07:33.7252840Z ++ git cherry -v origin/master
2022-11-23T01:07:33.7470729Z + COMMIT_MESSAGES=
2022-11-23T01:07:33.7471075Z + COMMIT_MESSAGES=
2022-11-23T01:07:33.7471376Z + PR_BODY=
2022-11-23T01:07:33.7471698Z + export COMMIT_MESSAGES=
2022-11-23T01:07:33.7472013Z + COMMIT_MESSAGES=
2022-11-23T01:07:33.7472326Z + export PR_BODY=
2022-11-23T01:07:33.7472627Z + PR_BODY=
2022-11-23T01:07:33.7480567Z +++ nproc --ignore=2
2022-11-23T01:07:33.7688771Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e PR_BODY -e COMMIT_MESSAGES -e PYTORCH_RETRY_TEST_CASES -e PYTORCH_OVERRIDE_FLAKY_SIGNAL -e PR_LABELS -e MAX_JOBS=6 -e SCCACHE_BUCKET -e SCCACHE_S3_KEY_PREFIX -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS --env-file=/tmp/github_env_3528293562 --ulimit stack=10485760:83886080 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3-clang7-asan:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T01:07:48.2860998Z + container_name=bccbf2acded127fda1195f4a1dc8bbdbcb84a6c780c3e6329bbefc1cd6fe794d
2022-11-23T01:07:48.2861640Z + echo DOCKER_CONTAINER_ID=bccbf2acded127fda1195f4a1dc8bbdbcb84a6c780c3e6329bbefc1cd6fe794d
2022-11-23T01:07:48.2865742Z ++ echo dist/torch-1.14.0a0+git1cfd385-cp37-cp37m-linux_x86_64.whl
2022-11-23T01:07:48.2868952Z + docker exec -t bccbf2acded127fda1195f4a1dc8bbdbcb84a6c780c3e6329bbefc1cd6fe794d sh -c 'pip install dist/torch-1.14.0a0+git1cfd385-cp37-cp37m-linux_x86_64.whl[opt-einsum] && .jenkins/pytorch/test.sh'
2022-11-23T01:07:48.7793572Z Processing ./dist/torch-1.14.0a0+git1cfd385-cp37-cp37m-linux_x86_64.whl
2022-11-23T01:07:49.6283321Z Requirement already satisfied: sympy in /opt/conda/lib/python3.7/site-packages (from torch==1.14.0a0+git1cfd385) (1.10.1)
2022-11-23T01:07:49.6286121Z Requirement already satisfied: networkx in /opt/conda/lib/python3.7/site-packages (from torch==1.14.0a0+git1cfd385) (2.6.3)
2022-11-23T01:07:49.6289674Z Requirement already satisfied: typing-extensions in /opt/conda/lib/python3.7/site-packages (from torch==1.14.0a0+git1cfd385) (4.3.0)
2022-11-23T01:07:49.6303286Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/lib/python3.7/site-packages (from torch==1.14.0a0+git1cfd385) (3.3.0)
2022-11-23T01:07:49.6368396Z Requirement already satisfied: numpy>=1.7 in /opt/conda/lib/python3.7/site-packages (from opt-einsum>=3.3->torch==1.14.0a0+git1cfd385) (1.18.5)
2022-11-23T01:07:49.6547360Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.7/site-packages (from sympy->torch==1.14.0a0+git1cfd385) (1.2.1)
2022-11-23T01:07:50.4295767Z Installing collected packages: torch
2022-11-23T01:08:00.2201242Z Successfully installed torch-1.14.0a0+git1cfd385
2022-11-23T01:08:00.2940500Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2022-11-23T01:08:00.3098501Z + TORCH_INSTALL_DIR=/opt/conda/lib/python3.7/site-packages/torch
2022-11-23T01:08:00.3100195Z + TORCH_BIN_DIR=/opt/conda/lib/python3.7/site-packages/torch/bin
2022-11-23T01:08:00.3100572Z + TORCH_LIB_DIR=/opt/conda/lib/python3.7/site-packages/torch/lib
2022-11-23T01:08:00.3100965Z + TORCH_TEST_DIR=/opt/conda/lib/python3.7/site-packages/torch/test
2022-11-23T01:08:00.3101428Z + BUILD_DIR=build
2022-11-23T01:08:00.3101725Z + BUILD_RENAMED_DIR=build_renamed
2022-11-23T01:08:00.3102057Z + BUILD_BIN_DIR=build/bin
2022-11-23T01:08:00.3102377Z + export VALGRIND=ON
2022-11-23T01:08:00.3102684Z + VALGRIND=ON
2022-11-23T01:08:00.3103112Z + [[ linux-focal-py3.7-clang7-asan == *clang9* ]]
2022-11-23T01:08:00.3103423Z + [[ linux-focal-py3.7-clang7-asan != *bazel* ]]
2022-11-23T01:08:00.3103670Z ++ realpath build/custom_test_artifacts
2022-11-23T01:08:00.3130165Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2022-11-23T01:08:00.3132910Z ++ dirname .jenkins/pytorch/test.sh
2022-11-23T01:08:00.3154942Z + source .jenkins/pytorch/common.sh
2022-11-23T01:08:00.3160595Z +++ dirname .jenkins/pytorch/common.sh
2022-11-23T01:08:00.3165421Z ++ source .jenkins/pytorch/common_utils.sh
2022-11-23T01:08:00.3167216Z +++ declare -f -t trap_add
2022-11-23T01:08:00.3171593Z ++ set -ex
2022-11-23T01:08:00.3172259Z ++ [[ linux-focal-py3.7-clang7-asan == *rocm* ]]
2022-11-23T01:08:00.3172597Z ++ BUILD_TEST_LIBTORCH=0
2022-11-23T01:08:00.3173045Z + echo 'Environment variables'
2022-11-23T01:08:00.3173300Z Environment variables
2022-11-23T01:08:00.3173472Z + env
2022-11-23T01:08:00.3196952Z INSTALLED_DB=yes
2022-11-23T01:08:00.3198103Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2022-11-23T01:08:00.3198527Z BUILD_ENVIRONMENT=linux-focal-py3.7-clang7-asan
2022-11-23T01:08:00.3199146Z PYTORCH_OVERRIDE_FLAKY_SIGNAL=1
2022-11-23T01:08:00.3199641Z HOSTNAME=bccbf2acded1
2022-11-23T01:08:00.3200311Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_992a0656-af37-478e-a003-05eb8ca2bf1a
2022-11-23T01:08:00.3200848Z GITHUB_ACTION=__self
2022-11-23T01:08:00.3201180Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2022-11-23T01:08:00.3201414Z GITHUB_RUN_NUMBER=67324
2022-11-23T01:08:00.3201596Z TEST_CONFIG=default
2022-11-23T01:08:00.3201965Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2022-11-23T01:08:00.3202189Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2022-11-23T01:08:00.3202400Z GITHUB_REF_TYPE=branch
2022-11-23T01:08:00.3202593Z TORCH_CUDA_ARCH_LIST=Maxwell
2022-11-23T01:08:00.3202802Z BASE_SHA=1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:08:00.3203003Z XLA_CUDA=
2022-11-23T01:08:00.3203478Z ***
2022-11-23T01:08:00.3203653Z CARGO_NET_GIT_FETCH_WITH_CLI=true
2022-11-23T01:08:00.3203834Z GITHUB_ACTIONS=true
2022-11-23T01:08:00.3204038Z SHA1=1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:08:00.3204277Z GITHUB_SHA=1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:08:00.3204469Z UCC_HOME=/usr
2022-11-23T01:08:00.3204652Z GITHUB_REF=refs/heads/master
2022-11-23T01:08:00.3204836Z SHARD_NUMBER=2
2022-11-23T01:08:00.3205007Z GITHUB_REF_PROTECTED=true
2022-11-23T01:08:00.3205195Z HOME=/var/lib/jenkins
2022-11-23T01:08:00.3205407Z GITHUB_API_URL=https://api.github.com
2022-11-23T01:08:00.3205623Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2022-11-23T01:08:00.3205821Z INSTALLED_THRIFT=
2022-11-23T01:08:00.3205989Z UCX_COMMIT=
2022-11-23T01:08:00.3206154Z SCCACHE_S3_KEY_PREFIX=pull
2022-11-23T01:08:00.3206341Z NUM_TEST_SHARDS=5
2022-11-23T01:08:00.3206508Z UCX_HOME=/usr
2022-11-23T01:08:00.3206891Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_992a0656-af37-478e-a003-05eb8ca2bf1a
2022-11-23T01:08:00.3207180Z PYTORCH_RETRY_TEST_CASES=1
2022-11-23T01:08:00.3207571Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_992a0656-af37-478e-a003-05eb8ca2bf1a
2022-11-23T01:08:00.3208003Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2022-11-23T01:08:00.3208251Z GITHUB_EVENT_NAME=push
2022-11-23T01:08:00.3208439Z GITHUB_RUN_ID=3528293562
2022-11-23T01:08:00.3208850Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_992a0656-af37-478e-a003-05eb8ca2bf1a
2022-11-23T01:08:00.3209146Z GITHUB_ACTOR=pytorchmergebot
2022-11-23T01:08:00.3209336Z PR_NUMBER=
2022-11-23T01:08:00.3209500Z DESIRED_CUDA=
2022-11-23T01:08:00.3209663Z GITHUB_RUN_ATTEMPT=1
2022-11-23T01:08:00.3209863Z VALGRIND=ON
2022-11-23T01:08:00.3210087Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2022-11-23T01:08:00.3210300Z TERM=xterm
2022-11-23T01:08:00.3210457Z INSTALLED_VISION=yes
2022-11-23T01:08:00.3210636Z BRANCH=master
2022-11-23T01:08:00.3210818Z OPENSSL_ROOT_DIR=/opt/openssl
2022-11-23T01:08:00.3211002Z CUDA_PATH=/usr/local/cuda
2022-11-23T01:08:00.3211375Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2022-11-23T01:08:00.3211675Z GITHUB_SERVER_URL=https://github.com
2022-11-23T01:08:00.3211860Z UCC_COMMIT=
2022-11-23T01:08:00.3212035Z INSTALLED_ANDROID=
2022-11-23T01:08:00.3212201Z SHLVL=1
2022-11-23T01:08:00.3212341Z MAX_JOBS=6
2022-11-23T01:08:00.3212509Z COMMIT_MESSAGES=
2022-11-23T01:08:00.3212689Z GITHUB_REF_NAME=master
2022-11-23T01:08:00.3213007Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2022-11-23T01:08:00.3213267Z GITHUB_JOB=test
2022-11-23T01:08:00.3213462Z GITHUB_REPOSITORY=pytorch/pytorch
2022-11-23T01:08:00.3213653Z GITHUB_RETENTION_DAYS=90
2022-11-23T01:08:00.3213843Z OPENSSL_DIR=/opt/openssl
2022-11-23T01:08:00.3214037Z GITHUB_ACTION_REPOSITORY=
2022-11-23T01:08:00.3214332Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2022-11-23T01:08:00.3214616Z GITHUB_BASE_REF=
2022-11-23T01:08:00.3214850Z CI=true
2022-11-23T01:08:00.3215016Z GITHUB_REPOSITORY_OWNER=pytorch
2022-11-23T01:08:00.3215221Z INSTALLED_PROTOBUF=yes
2022-11-23T01:08:00.3215402Z GITHUB_HEAD_REF=
2022-11-23T01:08:00.3215565Z GITHUB_ACTION_REF=
2022-11-23T01:08:00.3215844Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2022-11-23T01:08:00.3216078Z GITHUB_WORKFLOW=pull
2022-11-23T01:08:00.3216274Z DEBIAN_FRONTEND=noninteractive
2022-11-23T01:08:00.3216716Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_992a0656-af37-478e-a003-05eb8ca2bf1a
2022-11-23T01:08:00.3216998Z PR_BODY=
2022-11-23T01:08:00.3217158Z _=/usr/bin/env
2022-11-23T01:08:00.3217354Z + echo 'Testing pytorch'
2022-11-23T01:08:00.3217536Z Testing pytorch
2022-11-23T01:08:00.3217728Z + export LANG=C.UTF-8
2022-11-23T01:08:00.3217902Z + LANG=C.UTF-8
2022-11-23T01:08:00.3328535Z + PR_NUMBER=
2022-11-23T01:08:00.3328859Z + [[ default == \d\e\f\a\u\l\t ]]
2022-11-23T01:08:00.3329228Z + export CUDA_VISIBLE_DEVICES=0
2022-11-23T01:08:00.3329560Z + CUDA_VISIBLE_DEVICES=0
2022-11-23T01:08:00.3329898Z + export HIP_VISIBLE_DEVICES=0
2022-11-23T01:08:00.3330261Z + HIP_VISIBLE_DEVICES=0
2022-11-23T01:08:00.3330634Z + [[ default == \d\i\s\t\r\i\b\u\t\e\d ]]
2022-11-23T01:08:00.3330848Z + [[ default == \s\l\o\w ]]
2022-11-23T01:08:00.3331388Z + [[ linux-focal-py3.7-clang7-asan == *slow-gradcheck* ]]
2022-11-23T01:08:00.3331885Z + [[ linux-focal-py3.7-clang7-asan == *cuda* ]]
2022-11-23T01:08:00.3332178Z + [[ linux-focal-py3.7-clang7-asan == *rocm* ]]
2022-11-23T01:08:00.3332396Z + [[ default == *crossref* ]]
2022-11-23T01:08:00.3332586Z + [[ default == *dynamo* ]]
2022-11-23T01:08:00.3332762Z + [[ default == *inductor* ]]
2022-11-23T01:08:00.3333030Z + [[ linux-focal-py3.7-clang7-asan == *rocm* ]]
2022-11-23T01:08:00.3333336Z + [[ linux-focal-py3.7-clang7-asan != *-bazel-* ]]
2022-11-23T01:08:00.3333612Z + pip_install --user ninja==1.10.2
2022-11-23T01:08:00.3333889Z + pip install --progress-bar off --user ninja==1.10.2
2022-11-23T01:08:00.7838842Z Collecting ninja==1.10.2
2022-11-23T01:08:00.8014082Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2022-11-23T01:08:01.5412879Z Installing collected packages: ninja
2022-11-23T01:08:01.5499084Z   WARNING: The script ninja is installed in '/var/lib/jenkins/.local/bin' which is not on PATH.
2022-11-23T01:08:01.5499631Z   Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
2022-11-23T01:08:01.5548085Z Successfully installed ninja-1.10.2
2022-11-23T01:08:01.6268216Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2022-11-23T01:08:01.6268951Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2022-11-23T01:08:01.6269797Z + [[ linux-focal-py3.7-clang7-asan == *asan* ]]
2022-11-23T01:08:01.6270405Z + export ASAN_OPTIONS=detect_leaks=0:symbolize=1:detect_stack_use_after_return=1:strict_init_order=true:detect_odr_violation=0
2022-11-23T01:08:01.6271136Z + ASAN_OPTIONS=detect_leaks=0:symbolize=1:detect_stack_use_after_return=1:strict_init_order=true:detect_odr_violation=0
2022-11-23T01:08:01.6271433Z + export UBSAN_OPTIONS=print_stacktrace=1
2022-11-23T01:08:01.6271659Z + UBSAN_OPTIONS=print_stacktrace=1
2022-11-23T01:08:01.6271879Z + export PYTORCH_TEST_WITH_ASAN=1
2022-11-23T01:08:01.6272068Z + PYTORCH_TEST_WITH_ASAN=1
2022-11-23T01:08:01.6272272Z + export PYTORCH_TEST_WITH_UBSAN=1
2022-11-23T01:08:01.6272470Z + PYTORCH_TEST_WITH_UBSAN=1
2022-11-23T01:08:01.6272770Z + export ASAN_SYMBOLIZER_PATH=/usr/lib/llvm-7/bin/llvm-symbolizer
2022-11-23T01:08:01.6273103Z + ASAN_SYMBOLIZER_PATH=/usr/lib/llvm-7/bin/llvm-symbolizer
2022-11-23T01:08:01.6273340Z + export TORCH_USE_RTLD_GLOBAL=1
2022-11-23T01:08:01.6273548Z + TORCH_USE_RTLD_GLOBAL=1
2022-11-23T01:08:01.6274244Z + export LD_PRELOAD=/usr/lib/llvm-7/lib/clang/7.0.1/lib/linux/libclang_rt.asan-x86_64.so
2022-11-23T01:08:01.6274778Z + LD_PRELOAD=/usr/lib/llvm-7/lib/clang/7.0.1/lib/linux/libclang_rt.asan-x86_64.so
2022-11-23T01:08:01.6275107Z + ulimit -s 81920
2022-11-23T01:08:01.6275268Z + cd test
2022-11-23T01:08:01.6275576Z + python -c 'import torch; print(torch.__version__, torch.version.git_version)'
2022-11-23T01:08:08.5245636Z 1.14.0a0+git1cfd385 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T01:08:09.0329481Z + echo 'The next four invocations are expected to crash; if they don'\''t that means ASAN/UBSAN is misconfigured'
2022-11-23T01:08:09.0330149Z The next four invocations are expected to crash; if they don't that means ASAN/UBSAN is misconfigured
2022-11-23T01:08:09.0330740Z + cd test
2022-11-23T01:08:09.0331236Z + get_exit_code python -c 'import torch; torch._C._crash_if_csrc_asan(3)'
2022-11-23T01:08:09.0331486Z + set +e
2022-11-23T01:08:09.0331758Z + python -c 'import torch; torch._C._crash_if_csrc_asan(3)'
2022-11-23T01:08:12.6304833Z /var/lib/jenkins/workspace/torch/csrc/Module.cpp:172:3: runtime error: index 3 out of bounds for type 'volatile char [3]'
2022-11-23T01:08:12.9210204Z     #0 0x7f01f7fd7c17 in THPModule_crashIfCsrcASAN(_object*, _object*) (/opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_python.so+0x2c87c17)
2022-11-23T01:08:12.9823728Z     #1 0x5595a24095dc in _PyMethodDef_RawFastCallKeywords /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:647
2022-11-23T01:08:12.9824292Z     #2 0x5595a243fb3f in _PyCFunction_FastCallKeywords /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:732
2022-11-23T01:08:12.9824704Z     #3 0x5595a243fb3f in call_function /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4568
2022-11-23T01:08:12.9825176Z     #4 0x5595a2487701 in _PyEval_EvalFrameDefault /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3093
2022-11-23T01:08:12.9826110Z     #5 0x5595a23d8e84 in PyEval_EvalFrameEx /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547
2022-11-23T01:08:12.9826555Z     #6 0x5595a23d8e84 in _PyEval_EvalCodeWithName /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930
2022-11-23T01:08:12.9827499Z     #7 0x5595a23da272 in PyEval_EvalCodeEx /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3959
2022-11-23T01:08:12.9827982Z     #8 0x5595a23da272 in PyEval_EvalCode /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:524
2022-11-23T01:08:12.9829188Z     #9 0x5595a24e7c81 in run_mod /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:1037
2022-11-23T01:08:12.9829854Z     #10 0x5595a24f2c69 in PyRun_StringFlags /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:961
2022-11-23T01:08:12.9830868Z     #11 0x5595a24f2ccb in PyRun_SimpleStringFlags /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:455
2022-11-23T01:08:12.9832488Z     #12 0x5595a24f2dc8 in pymain_run_command /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:420
2022-11-23T01:08:12.9833145Z     #13 0x5595a24f2dc8 in pymain_run_python /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:2907
2022-11-23T01:08:12.9833580Z     #14 0x5595a24f2dc8 in pymain_main /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:3460
2022-11-23T01:08:12.9833975Z     #15 0x5595a24f318b in _Py_UnixMain /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:3495
2022-11-23T01:08:12.9859619Z     #16 0x7f02006ea082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082)
2022-11-23T01:08:12.9860018Z     #17 0x5595a2498039 in _start (/opt/conda/bin/python3.7+0x1d8039)
2022-11-23T01:08:12.9860175Z 
2022-11-23T01:08:12.9861496Z SUMMARY: UndefinedBehaviorSanitizer: undefined-behavior /var/lib/jenkins/workspace/torch/csrc/Module.cpp:172:3 in 
2022-11-23T01:08:13.0356190Z + retcode=1
2022-11-23T01:08:13.0356925Z + set -e
2022-11-23T01:08:13.0357357Z + return 1
2022-11-23T01:08:13.0360078Z + cd test
2022-11-23T01:08:13.0360650Z + get_exit_code python -c 'import torch; torch._C._crash_if_csrc_ubsan(0)'
2022-11-23T01:08:13.0361001Z + set +e
2022-11-23T01:08:13.0362071Z + python -c 'import torch; torch._C._crash_if_csrc_ubsan(0)'
2022-11-23T01:08:16.4764371Z /var/lib/jenkins/workspace/torch/csrc/Module.cpp:184:18: runtime error: division by zero
2022-11-23T01:08:16.6072131Z     #0 0x7f6a07d10e65 in THPModule_crashIfCsrcUBSAN(_object*, _object*) (/opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_python.so+0x2c87e65)
2022-11-23T01:08:16.6663060Z     #1 0x55c3b4b5a5dc in _PyMethodDef_RawFastCallKeywords /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:647
2022-11-23T01:08:16.6663719Z     #2 0x55c3b4b90b3f in _PyCFunction_FastCallKeywords /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:732
2022-11-23T01:08:16.6664241Z     #3 0x55c3b4b90b3f in call_function /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4568
2022-11-23T01:08:16.6664698Z     #4 0x55c3b4bd8701 in _PyEval_EvalFrameDefault /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3093
2022-11-23T01:08:16.6665371Z     #5 0x55c3b4b29e84 in PyEval_EvalFrameEx /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547
2022-11-23T01:08:16.6665762Z     #6 0x55c3b4b29e84 in _PyEval_EvalCodeWithName /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930
2022-11-23T01:08:16.6666944Z     #7 0x55c3b4b2b272 in PyEval_EvalCodeEx /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3959
2022-11-23T01:08:16.6667506Z     #8 0x55c3b4b2b272 in PyEval_EvalCode /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:524
2022-11-23T01:08:16.6668374Z     #9 0x55c3b4c38c81 in run_mod /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:1037
2022-11-23T01:08:16.6669893Z     #10 0x55c3b4c43c69 in PyRun_StringFlags /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:961
2022-11-23T01:08:16.6670471Z     #11 0x55c3b4c43ccb in PyRun_SimpleStringFlags /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:455
2022-11-23T01:08:16.6671505Z     #12 0x55c3b4c43dc8 in pymain_run_command /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:420
2022-11-23T01:08:16.6672168Z     #13 0x55c3b4c43dc8 in pymain_run_python /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:2907
2022-11-23T01:08:16.6672601Z     #14 0x55c3b4c43dc8 in pymain_main /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:3460
2022-11-23T01:08:16.6673017Z     #15 0x55c3b4c4418b in _Py_UnixMain /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:3495
2022-11-23T01:08:16.6686992Z     #16 0x7f6a10423082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082)
2022-11-23T01:08:16.6687516Z     #17 0x55c3b4be9039 in _start (/opt/conda/bin/python3.7+0x1d8039)
2022-11-23T01:08:16.6687760Z 
2022-11-23T01:08:16.6688503Z SUMMARY: UndefinedBehaviorSanitizer: undefined-behavior /var/lib/jenkins/workspace/torch/csrc/Module.cpp:184:18 in 
2022-11-23T01:08:16.7100156Z + retcode=1
2022-11-23T01:08:16.7100636Z + set -e
2022-11-23T01:08:16.7100817Z + return 1
2022-11-23T01:08:16.7105248Z + cd test
2022-11-23T01:08:16.7105704Z + get_exit_code python -c 'import torch; torch._C._crash_if_vptr_ubsan()'
2022-11-23T01:08:16.7106002Z + set +e
2022-11-23T01:08:16.7106272Z + python -c 'import torch; torch._C._crash_if_vptr_ubsan()'
2022-11-23T01:08:20.2152950Z /var/lib/jenkins/workspace/torch/csrc/Module.cpp:203:16: runtime error: member call on address 0x7f26d38869a0 which does not point to an object of type 'Foo'
2022-11-23T01:08:20.2165115Z 0x7f26d38869a0: note: object is of type 'THPModule_crashIfvptrUBSAN(_object*, _object*)::Baz'
2022-11-23T01:08:20.2165792Z  ff 7f 00 00  10 84 68 d1 26 7f 00 00  04 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  66 1b 85 d3
2022-11-23T01:08:20.2166081Z               ^~~~~~~~~~~~~~~~~~~~~~~
2022-11-23T01:08:20.2166449Z               vptr for 'THPModule_crashIfvptrUBSAN(_object*, _object*)::Baz'
2022-11-23T01:08:20.3467088Z     #0 0x7f26ce9e008c in THPModule_crashIfvptrUBSAN(_object*, _object*) (/opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_python.so+0x2c8808c)
2022-11-23T01:08:20.4056595Z     #1 0x5593f4bbd690 in _PyMethodDef_RawFastCallKeywords /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:632
2022-11-23T01:08:20.4057282Z     #2 0x5593f4bf3b3f in _PyCFunction_FastCallKeywords /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:732
2022-11-23T01:08:20.4057796Z     #3 0x5593f4bf3b3f in call_function /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4568
2022-11-23T01:08:20.4058434Z     #4 0x5593f4c3b701 in _PyEval_EvalFrameDefault /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3093
2022-11-23T01:08:20.4059006Z     #5 0x5593f4b8ce84 in PyEval_EvalFrameEx /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547
2022-11-23T01:08:20.4059646Z     #6 0x5593f4b8ce84 in _PyEval_EvalCodeWithName /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930
2022-11-23T01:08:20.4060211Z     #7 0x5593f4b8e272 in PyEval_EvalCodeEx /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3959
2022-11-23T01:08:20.4060820Z     #8 0x5593f4b8e272 in PyEval_EvalCode /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:524
2022-11-23T01:08:20.4061459Z     #9 0x5593f4c9bc81 in run_mod /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:1037
2022-11-23T01:08:20.4062115Z     #10 0x5593f4ca6c69 in PyRun_StringFlags /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:961
2022-11-23T01:08:20.4062655Z     #11 0x5593f4ca6ccb in PyRun_SimpleStringFlags /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:455
2022-11-23T01:08:20.4063510Z     #12 0x5593f4ca6dc8 in pymain_run_command /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:420
2022-11-23T01:08:20.4064185Z     #13 0x5593f4ca6dc8 in pymain_run_python /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:2907
2022-11-23T01:08:20.4064716Z     #14 0x5593f4ca6dc8 in pymain_main /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:3460
2022-11-23T01:08:20.4065173Z     #15 0x5593f4ca718b in _Py_UnixMain /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:3495
2022-11-23T01:08:20.4079424Z     #16 0x7f26d70f2082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082)
2022-11-23T01:08:20.4079823Z     #17 0x5593f4c4c039 in _start (/opt/conda/bin/python3.7+0x1d8039)
2022-11-23T01:08:20.4079990Z 
2022-11-23T01:08:20.4080302Z SUMMARY: UndefinedBehaviorSanitizer: undefined-behavior /var/lib/jenkins/workspace/torch/csrc/Module.cpp:203:16 in 
2022-11-23T01:08:20.4466445Z + retcode=1
2022-11-23T01:08:20.4466863Z + set -e
2022-11-23T01:08:20.4467139Z + return 1
2022-11-23T01:08:20.4470496Z + cd test
2022-11-23T01:08:20.4471037Z + get_exit_code python -c 'import torch; torch._C._crash_if_aten_asan(3)'
2022-11-23T01:08:20.4471384Z + set +e
2022-11-23T01:08:20.4471820Z + python -c 'import torch; torch._C._crash_if_aten_asan(3)'
2022-11-23T01:08:23.9753018Z /var/lib/jenkins/workspace/aten/src/ATen/Utils.cpp:20:3: runtime error: index 3 out of bounds for type 'volatile char [3]'
2022-11-23T01:08:24.6697568Z     #0 0x7f2dc669ecd4 in at::_crash_if_asan(int) (/opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so+0xd9facd4)
2022-11-23T01:08:24.7307839Z     #1 0x7f2df1b4f1cb in THPModule_crashIfATenASAN(_object*, _object*) (/opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_python.so+0x2c881cb)
2022-11-23T01:08:24.7911589Z     #2 0x562d5ad955dc in _PyMethodDef_RawFastCallKeywords /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:647
2022-11-23T01:08:24.7912629Z     #3 0x562d5adcbb3f in _PyCFunction_FastCallKeywords /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:732
2022-11-23T01:08:24.7913204Z     #4 0x562d5adcbb3f in call_function /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4568
2022-11-23T01:08:24.7913801Z     #5 0x562d5ae13701 in _PyEval_EvalFrameDefault /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3093
2022-11-23T01:08:24.7914268Z     #6 0x562d5ad64e84 in PyEval_EvalFrameEx /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547
2022-11-23T01:08:24.7914794Z     #7 0x562d5ad64e84 in _PyEval_EvalCodeWithName /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930
2022-11-23T01:08:24.7915291Z     #8 0x562d5ad66272 in PyEval_EvalCodeEx /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3959
2022-11-23T01:08:24.7915695Z     #9 0x562d5ad66272 in PyEval_EvalCode /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:524
2022-11-23T01:08:24.7916164Z     #10 0x562d5ae73c81 in run_mod /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:1037
2022-11-23T01:08:24.7917334Z     #11 0x562d5ae7ec69 in PyRun_StringFlags /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:961
2022-11-23T01:08:24.7918025Z     #12 0x562d5ae7eccb in PyRun_SimpleStringFlags /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:455
2022-11-23T01:08:24.7919022Z     #13 0x562d5ae7edc8 in pymain_run_command /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:420
2022-11-23T01:08:24.7919448Z     #14 0x562d5ae7edc8 in pymain_run_python /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:2907
2022-11-23T01:08:24.7919813Z     #15 0x562d5ae7edc8 in pymain_main /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:3460
2022-11-23T01:08:24.7920653Z     #16 0x562d5ae7f18b in _Py_UnixMain /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:3495
2022-11-23T01:08:24.7934806Z     #17 0x7f2dfa261082 in __libc_start_main (/lib/x86_64-linux-gnu/libc.so.6+0x24082)
2022-11-23T01:08:24.7935309Z     #18 0x562d5ae24039 in _start (/opt/conda/bin/python3.7+0x1d8039)
2022-11-23T01:08:24.7935537Z 
2022-11-23T01:08:24.7936129Z SUMMARY: UndefinedBehaviorSanitizer: undefined-behavior /var/lib/jenkins/workspace/aten/src/ATen/Utils.cpp:20:3 in 
2022-11-23T01:08:24.8326624Z + retcode=1
2022-11-23T01:08:24.8327194Z + set -e
2022-11-23T01:08:24.8327434Z + return 1
2022-11-23T01:08:24.8328249Z + [[ linux-focal-py3.7-clang7-asan == *-tsan* ]]
2022-11-23T01:08:24.8328647Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2022-11-23T01:08:24.8328908Z + [[ default == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2022-11-23T01:08:24.8334447Z + [[ linux-focal-py3.7-clang7-asan == *tbb* ]]
2022-11-23T01:08:24.8346298Z + [[ linux-focal-py3.7-clang7-asan == *libtorch* ]]
2022-11-23T01:08:24.8346867Z + [[ linux-focal-py3.7-clang7-asan == *-bazel-* ]]
2022-11-23T01:08:24.8347380Z + [[ linux-focal-py3.7-clang7-asan == *-tsan* ]]
2022-11-23T01:08:24.8349133Z + cd test
2022-11-23T01:08:24.8349682Z + python -c 'import torch; print(torch.__config__.show())'
2022-11-23T01:08:28.3603902Z PyTorch built with:
2022-11-23T01:08:28.3604463Z   - GCC 4.2
2022-11-23T01:08:28.3604848Z   - C++ Version: 201402
2022-11-23T01:08:28.3605228Z   - clang 7.0.1
2022-11-23T01:08:28.3605965Z   - Intel(R) oneAPI Math Kernel Library Version 2022.0-Product Build 20211112 for Intel(R) 64 architecture applications
2022-11-23T01:08:28.3606626Z   - LAPACK is enabled (usually provided by MKL)
2022-11-23T01:08:28.3607056Z   - NNPACK is enabled
2022-11-23T01:08:28.3607476Z   - CPU capability usage: AVX2
2022-11-23T01:08:28.3613722Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CXX_COMPILER=/opt/cache/bin/clang++, CXX_FLAGS=-fsanitize=undefined -fsanitize=address  -fno-sanitize-recover=all -fsanitize-address-use-after-scope -shared-libasan -Wno-deprecated -fvisibility-inlines-hidden -fsanitize=address -fPIE -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=braced-scalar-init -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wvla-extension -Wno-range-loop-analysis -Wno-pass-failed -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -Wconstant-conversion -Wno-invalid-partial-specialization -Wno-typedef-redefinition -Wno-unused-private-field -Wno-inconsistent-missing-override -Wno-c++14-extensions -Wno-constexpr-not-const -Wno-missing-braces -Wunused-lambda-capture -Wunused-local-typedef -Qunused-arguments -fcolor-diagnostics -fdiagnostics-color=always -fno-math-errno -fno-trapping-math -Werror=format, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_DISABLE_GPU_ASSERTS=ON, TORCH_VERSION=1.14.0, USE_CUDA=0, USE_CUDNN=OFF, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=0, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=OFF, USE_ROCM=OFF, 
2022-11-23T01:08:28.3618087Z 
2022-11-23T01:08:28.8484579Z + cd test
2022-11-23T01:08:28.8485091Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2022-11-23T01:08:32.3682927Z ATen/Parallel:
2022-11-23T01:08:32.3683293Z 	at::get_num_threads() : 4
2022-11-23T01:08:32.3683618Z 	at::get_num_interop_threads() : 4
2022-11-23T01:08:32.3683808Z OpenMP not found
2022-11-23T01:08:32.3684434Z Intel(R) oneAPI Math Kernel Library Version 2022.0-Product Build 20211112 for Intel(R) 64 architecture applications
2022-11-23T01:08:32.3684732Z 	mkl_get_max_threads() : 1
2022-11-23T01:08:32.3684908Z MKLDNN not found
2022-11-23T01:08:32.3685173Z std::thread::hardware_concurrency() : 8
2022-11-23T01:08:32.3685445Z Environment variables:
2022-11-23T01:08:32.3685630Z 	OMP_NUM_THREADS : [not set]
2022-11-23T01:08:32.3685821Z 	MKL_NUM_THREADS : [not set]
2022-11-23T01:08:32.3686139Z ATen parallel backend: native thread pool
2022-11-23T01:08:32.3686337Z 
2022-11-23T01:08:32.8714795Z + [[ default == *backward* ]]
2022-11-23T01:08:32.8715182Z + [[ default == *xla* ]]
2022-11-23T01:08:32.8715579Z + [[ default == \j\i\t\_\l\e\g\a\c\y ]]
2022-11-23T01:08:32.8716003Z + [[ linux-focal-py3.7-clang7-asan == *libtorch* ]]
2022-11-23T01:08:32.8716229Z + [[ default == distributed ]]
2022-11-23T01:08:32.8716428Z + [[ default == deploy ]]
2022-11-23T01:08:32.8716635Z + [[ default == *inductor_distributed* ]]
2022-11-23T01:08:32.8716825Z + [[ default == *dynamo* ]]
2022-11-23T01:08:32.8717008Z + [[ default == *dynamo* ]]
2022-11-23T01:08:32.8717392Z + [[ default == *inductor_huggingface* ]]
2022-11-23T01:08:32.8717593Z + [[ default == *inductor_timm* ]]
2022-11-23T01:08:32.8717813Z + [[ default == *inductor_torchbench* ]]
2022-11-23T01:08:32.8718067Z + [[ default == *inductor* ]]
2022-11-23T01:08:32.8718327Z + [[ 2 == 1 ]]
2022-11-23T01:08:32.8718499Z + [[ 2 == 2 ]]
2022-11-23T01:08:32.8718698Z + [[ 5 -gt 1 ]]
2022-11-23T01:08:32.8718859Z + install_torchvision
2022-11-23T01:08:32.8719032Z + local commit
2022-11-23T01:08:32.8719267Z ++ get_pinned_commit vision
2022-11-23T01:08:32.8719482Z ++ cat .github/ci_commit_pins/vision.txt
2022-11-23T01:08:32.8784534Z + commit=4a310f26049371959617921d0eb9b001f4d262c6
2022-11-23T01:08:32.8785080Z + pip_install --no-use-pep517 --user git+https://github.com/pytorch/vision.git@4a310f26049371959617921d0eb9b001f4d262c6
2022-11-23T01:08:32.8785639Z + pip install --progress-bar off --no-use-pep517 --user git+https://github.com/pytorch/vision.git@4a310f26049371959617921d0eb9b001f4d262c6
2022-11-23T01:08:33.3574702Z Collecting git+https://github.com/pytorch/vision.git@4a310f26049371959617921d0eb9b001f4d262c6
2022-11-23T01:08:33.3581100Z   Cloning https://github.com/pytorch/vision.git (to revision 4a310f26049371959617921d0eb9b001f4d262c6) to /tmp/pip-req-build-qiudpbvf
2022-11-23T01:08:33.3931989Z   Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-qiudpbvf
2022-11-23T01:08:35.7707828Z   Running command git rev-parse -q --verify 'sha^4a310f26049371959617921d0eb9b001f4d262c6'
2022-11-23T01:08:35.7806922Z   Running command git fetch -q https://github.com/pytorch/vision.git 4a310f26049371959617921d0eb9b001f4d262c6
2022-11-23T01:08:37.5141174Z   Resolved https://github.com/pytorch/vision.git to commit 4a310f26049371959617921d0eb9b001f4d262c6
2022-11-23T01:08:42.5607459Z   Preparing metadata (setup.py) ... [?25l- done
2022-11-23T01:08:42.5699724Z [?25hRequirement already satisfied: typing_extensions in /opt/conda/lib/python3.7/site-packages (from torchvision==0.15.0a0+4a310f2) (4.3.0)
2022-11-23T01:08:42.5704354Z Requirement already satisfied: numpy in /opt/conda/lib/python3.7/site-packages (from torchvision==0.15.0a0+4a310f2) (1.18.5)
2022-11-23T01:08:42.5708900Z Requirement already satisfied: requests in /opt/conda/lib/python3.7/site-packages (from torchvision==0.15.0a0+4a310f2) (2.27.1)
2022-11-23T01:08:42.5713485Z Requirement already satisfied: torch in /opt/conda/lib/python3.7/site-packages (from torchvision==0.15.0a0+4a310f2) (1.14.0a0+git1cfd385)
2022-11-23T01:08:42.5722171Z Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /opt/conda/lib/python3.7/site-packages (from torchvision==0.15.0a0+4a310f2) (9.3.0)
2022-11-23T01:08:42.6036968Z Requirement already satisfied: charset-normalizer~=2.0.0 in /opt/conda/lib/python3.7/site-packages (from requests->torchvision==0.15.0a0+4a310f2) (2.0.4)
2022-11-23T01:08:42.6047419Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/conda/lib/python3.7/site-packages (from requests->torchvision==0.15.0a0+4a310f2) (1.26.8)
2022-11-23T01:08:42.6059781Z Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.7/site-packages (from requests->torchvision==0.15.0a0+4a310f2) (2022.9.24)
2022-11-23T01:08:42.6074321Z Requirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.7/site-packages (from requests->torchvision==0.15.0a0+4a310f2) (3.3)
2022-11-23T01:08:42.6134750Z Requirement already satisfied: networkx in /opt/conda/lib/python3.7/site-packages (from torch->torchvision==0.15.0a0+4a310f2) (2.6.3)
2022-11-23T01:08:42.6138413Z Requirement already satisfied: sympy in /opt/conda/lib/python3.7/site-packages (from torch->torchvision==0.15.0a0+4a310f2) (1.10.1)
2022-11-23T01:08:42.6516214Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.7/site-packages (from sympy->torch->torchvision==0.15.0a0+4a310f2) (1.2.1)
2022-11-23T01:08:42.6615617Z Building wheels for collected packages: torchvision
2022-11-23T01:10:26.9984557Z   Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - done
2022-11-23T01:10:27.0483392Z [?25h  Created wheel for torchvision: filename=torchvision-0.15.0a0+4a310f2-cp37-cp37m-linux_x86_64.whl size=16631918 sha256=2ddc7a9d74b11beb3a2e581987d0811467e8b5f61a700ddecea5e2312a4cb213
2022-11-23T01:10:27.0485587Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/be/2a/11/87caf8b14bc88c89f07b8b05c79475919ca665366c69a5154d
2022-11-23T01:10:27.0547656Z Successfully built torchvision
2022-11-23T01:10:27.8992649Z Installing collected packages: torchvision
2022-11-23T01:10:28.8775793Z Successfully installed torchvision-0.15.0a0+4a310f2
2022-11-23T01:10:29.0540021Z + install_triton
2022-11-23T01:10:29.0540393Z + local commit
2022-11-23T01:10:29.0540583Z + [[ default == *rocm* ]]
2022-11-23T01:10:29.0541887Z ++ get_pinned_commit triton
2022-11-23T01:10:29.0542292Z ++ cat .github/ci_commit_pins/triton.txt
2022-11-23T01:10:29.0591796Z + commit=0d7e7532279e45672555e344646f5c19c3972331
2022-11-23T01:10:29.0592710Z + pip_install --user git+https://github.com/openai/triton@0d7e7532279e45672555e344646f5c19c3972331#subdirectory=python
2022-11-23T01:10:29.0593505Z + pip install --progress-bar off --user git+https://github.com/openai/triton@0d7e7532279e45672555e344646f5c19c3972331#subdirectory=python
2022-11-23T01:10:29.5645437Z Collecting git+https://github.com/openai/triton@0d7e7532279e45672555e344646f5c19c3972331#subdirectory=python
2022-11-23T01:10:29.5652569Z   Cloning https://github.com/openai/triton (to revision 0d7e7532279e45672555e344646f5c19c3972331) to /tmp/pip-req-build-34brsrop
2022-11-23T01:10:29.5758159Z   Running command git clone --filter=blob:none --quiet https://github.com/openai/triton /tmp/pip-req-build-34brsrop
2022-11-23T01:10:30.7148499Z   Running command git rev-parse -q --verify 'sha^0d7e7532279e45672555e344646f5c19c3972331'
2022-11-23T01:10:30.7253096Z   Running command git fetch -q https://github.com/openai/triton 0d7e7532279e45672555e344646f5c19c3972331
2022-11-23T01:10:31.5915057Z   Running command git checkout -q 0d7e7532279e45672555e344646f5c19c3972331
2022-11-23T01:10:31.8235822Z   Resolved https://github.com/openai/triton to commit 0d7e7532279e45672555e344646f5c19c3972331
2022-11-23T01:10:31.8238087Z   Running command git submodule update --init --recursive -q
2022-11-23T01:10:32.7178347Z   Preparing metadata (setup.py) ... [?25l- done
2022-11-23T01:10:32.9204631Z [?25hCollecting cmake
2022-11-23T01:10:32.9472745Z   Downloading cmake-3.25.0-py2.py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (23.7 MB)
2022-11-23T01:10:33.4113903Z Collecting filelock
2022-11-23T01:10:33.4173798Z   Downloading filelock-3.8.0-py3-none-any.whl (10 kB)
2022-11-23T01:10:33.4216612Z Requirement already satisfied: torch in /opt/conda/lib/python3.7/site-packages (from triton==2.0.0) (1.14.0a0+git1cfd385)
2022-11-23T01:10:33.4477440Z Requirement already satisfied: sympy in /opt/conda/lib/python3.7/site-packages (from torch->triton==2.0.0) (1.10.1)
2022-11-23T01:10:33.4481112Z Requirement already satisfied: networkx in /opt/conda/lib/python3.7/site-packages (from torch->triton==2.0.0) (2.6.3)
2022-11-23T01:10:33.4485431Z Requirement already satisfied: typing-extensions in /opt/conda/lib/python3.7/site-packages (from torch->triton==2.0.0) (4.3.0)
2022-11-23T01:10:33.4692481Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.7/site-packages (from sympy->torch->triton==2.0.0) (1.2.1)
2022-11-23T01:10:33.4771207Z Building wheels for collected packages: triton
2022-11-23T01:11:45.8546069Z   Building wheel for triton (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | done
2022-11-23T01:11:45.9092078Z [?25h  Created wheel for triton: filename=triton-2.0.0-cp37-cp37m-linux_x86_64.whl size=15415081 sha256=8e490602c14c546d8a7c7b7333d6863f02240e3be88cc4a37493e7307ad0fe00
2022-11-23T01:11:45.9092834Z   Stored in directory: /var/lib/jenkins/.cache/pip/wheels/aa/c5/3a/263a5ba27ed44796dab5f19b43135afb68beabac5d137652f7
2022-11-23T01:11:45.9121113Z Successfully built triton
2022-11-23T01:11:46.8532723Z Installing collected packages: cmake, filelock, triton
2022-11-23T01:11:48.5438628Z Successfully installed cmake-3.25.0 filelock-3.8.0 triton-2.0.0
2022-11-23T01:11:48.7147093Z + pip_install --user jinja2
2022-11-23T01:11:48.7147584Z + pip install --progress-bar off --user jinja2
2022-11-23T01:11:49.2603278Z Collecting jinja2
2022-11-23T01:11:49.2942063Z   Downloading Jinja2-3.1.2-py3-none-any.whl (133 kB)
2022-11-23T01:11:49.3131352Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/lib/python3.7/site-packages (from jinja2) (2.1.1)
2022-11-23T01:11:50.2612140Z Installing collected packages: jinja2
2022-11-23T01:11:50.3678578Z Successfully installed jinja2-3.1.2
2022-11-23T01:11:50.4604995Z + test_python_shard 2
2022-11-23T01:11:50.4605527Z + [[ -z 5 ]]
2022-11-23T01:11:50.4607653Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --shard 2 5 --verbose
2022-11-23T01:11:54.5654183Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:11:54.8516833Z Ignoring disabled issues:  []
2022-11-23T01:11:54.9701751Z Found test time stats from artifacts
2022-11-23T01:11:54.9752309Z Selected tests:
2022-11-23T01:11:54.9752647Z  inductor/test_torchinductor_opinfo
2022-11-23T01:11:54.9752987Z  test_modules
2022-11-23T01:11:54.9753284Z  test_dispatch
2022-11-23T01:11:54.9753609Z  nn/test_pooling
2022-11-23T01:11:54.9753837Z  test_autograd
2022-11-23T01:11:54.9753998Z  test_show_pickle
2022-11-23T01:11:54.9754600Z  dynamo/test_torchxla_integration
2022-11-23T01:11:54.9754958Z  lazy/test_meta_kernel
2022-11-23T01:11:54.9755278Z  test_cuda_sanitizer
2022-11-23T01:11:54.9755609Z  test_matmul_cuda
2022-11-23T01:11:54.9755879Z  inductor/test_torchinductor
2022-11-23T01:11:54.9758216Z  test_proxy_tensor
2022-11-23T01:11:54.9758539Z  test_fx_experimental
2022-11-23T01:11:54.9758896Z  inductor/test_minifier
2022-11-23T01:11:54.9759232Z  dynamo/test_unspec
2022-11-23T01:11:54.9759467Z  dynamo/test_no_fake_tensors
2022-11-23T01:11:54.9759759Z  profiler/test_profiler
2022-11-23T01:11:54.9760083Z  test_stateless
2022-11-23T01:11:54.9760389Z  dynamo/test_repros
2022-11-23T01:11:54.9760700Z  test_scatter_gather_ops
2022-11-23T01:11:54.9760896Z  test_expanded_weights
2022-11-23T01:11:54.9761061Z  test_meta
2022-11-23T01:11:54.9761227Z  test_bundled_inputs
2022-11-23T01:11:54.9761412Z  test_public_bindings
2022-11-23T01:11:54.9761689Z  nn/test_lazy_modules
2022-11-23T01:11:54.9761926Z  nn/test_dropout
2022-11-23T01:11:54.9762211Z  test_tensorboard
2022-11-23T01:11:54.9762522Z  dynamo/test_global
2022-11-23T01:11:54.9762867Z  dynamo/test_skip_non_tensor
2022-11-23T01:11:54.9763098Z  test_per_overload_api
2022-11-23T01:11:55.0135986Z Prioritized test from test file changes.
2022-11-23T01:11:55.0136461Z reordering tests for PR:
2022-11-23T01:11:55.0136816Z prioritized: []
2022-11-23T01:11:55.0138339Z the rest: ['inductor/test_torchinductor_opinfo', 'test_modules', 'test_dispatch', 'nn/test_pooling', 'test_autograd', 'test_show_pickle', 'dynamo/test_torchxla_integration', 'lazy/test_meta_kernel', 'test_cuda_sanitizer', 'test_matmul_cuda', 'inductor/test_torchinductor', 'test_proxy_tensor', 'test_fx_experimental', 'inductor/test_minifier', 'dynamo/test_unspec', 'dynamo/test_no_fake_tensors', 'profiler/test_profiler', 'test_stateless', 'dynamo/test_repros', 'test_scatter_gather_ops', 'test_expanded_weights', 'test_meta', 'test_bundled_inputs', 'test_public_bindings', 'nn/test_lazy_modules', 'nn/test_dropout', 'test_tensorboard', 'dynamo/test_global', 'dynamo/test_skip_non_tensor', 'test_per_overload_api']
2022-11-23T01:11:55.0140506Z 
2022-11-23T01:11:55.0140934Z Downloading https://raw.githubusercontent.com/pytorch/test-infra/generated-stats/stats/slow-tests.json to /var/lib/jenkins/workspace/test/.pytorch-slow-tests.json
2022-11-23T01:11:55.0441731Z Downloading https://raw.githubusercontent.com/pytorch/test-infra/generated-stats/stats/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json
2022-11-23T01:11:55.0703088Z parallel (file granularity) tests:
2022-11-23T01:11:55.0703427Z  dynamo/test_torchxla_integration
2022-11-23T01:11:55.0703754Z  lazy/test_meta_kernel
2022-11-23T01:11:55.0704031Z  test_cuda_sanitizer
2022-11-23T01:11:55.0704298Z  test_matmul_cuda
2022-11-23T01:11:55.0704599Z  inductor/test_torchinductor
2022-11-23T01:11:55.0704859Z  test_proxy_tensor
2022-11-23T01:11:55.0705024Z  test_fx_experimental
2022-11-23T01:11:55.0705214Z  inductor/test_minifier
2022-11-23T01:11:55.0705404Z  dynamo/test_unspec
2022-11-23T01:11:55.0705621Z  dynamo/test_no_fake_tensors
2022-11-23T01:11:55.0705823Z  profiler/test_profiler
2022-11-23T01:11:55.0706086Z  test_stateless
2022-11-23T01:11:55.0706263Z  dynamo/test_repros
2022-11-23T01:11:55.0706503Z  test_scatter_gather_ops
2022-11-23T01:11:55.0706693Z  test_expanded_weights
2022-11-23T01:11:55.0706872Z  test_meta
2022-11-23T01:11:55.0707026Z  test_bundled_inputs
2022-11-23T01:11:55.0707265Z  test_public_bindings
2022-11-23T01:11:55.0707448Z  nn/test_lazy_modules
2022-11-23T01:11:55.0707758Z  nn/test_dropout
2022-11-23T01:11:55.0707995Z  test_tensorboard
2022-11-23T01:11:55.0708171Z  dynamo/test_global
2022-11-23T01:11:55.0708346Z  dynamo/test_skip_non_tensor
2022-11-23T01:11:55.0708537Z  test_per_overload_api
2022-11-23T01:11:55.0708791Z serial (file granularity) tests:
2022-11-23T01:11:55.0709000Z  inductor/test_torchinductor_opinfo
2022-11-23T01:11:55.0709194Z  test_modules
2022-11-23T01:11:55.0709359Z  test_dispatch
2022-11-23T01:11:55.0709571Z  nn/test_pooling
2022-11-23T01:11:55.0709820Z  test_autograd
2022-11-23T01:11:55.0709993Z  test_show_pickle
2022-11-23T01:11:59.2919866Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:11:59.3440187Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:11:59.4659442Z Ignoring disabled issues:  []
2022-11-23T01:11:59.4860901Z Running dynamo/test_torchxla_integration ... [2022-11-23 01:11:59.485767]
2022-11-23T01:11:59.4862769Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_torchxla_integration.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:11:59.486038]
2022-11-23T01:11:59.4933547Z Ignoring disabled issues:  []
2022-11-23T01:11:59.5138367Z Running lazy/test_meta_kernel ... [2022-11-23 01:11:59.513433]
2022-11-23T01:11:59.5140283Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_meta_kernel.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:11:59.513789]
2022-11-23T01:12:03.8781090Z 
2022-11-23T01:12:03.8781635Z Expand the folded group to see the log file of dynamo/test_torchxla_integration
2022-11-23T01:12:03.8787968Z ##[group]PRINTING LOG FILE of dynamo/test_torchxla_integration (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_torchxla_integration_9l5v_f_q)
2022-11-23T01:12:03.8788420Z 
2022-11-23T01:12:03.8788773Z ##[endgroup]
2022-11-23T01:12:03.8789739Z FINISHED PRINTING LOG FILE of dynamo/test_torchxla_integration (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_torchxla_integration_9l5v_f_q)
2022-11-23T01:12:03.8790133Z 
2022-11-23T01:12:03.9911028Z 
2022-11-23T01:12:03.9911497Z Expand the folded group to see the log file of lazy/test_meta_kernel
2022-11-23T01:12:03.9912548Z ##[group]PRINTING LOG FILE of lazy/test_meta_kernel (/var/lib/jenkins/workspace/test/test-reports/lazy-test_meta_kernel_q8nxlv9j)
2022-11-23T01:12:03.9912769Z 
2022-11-23T01:12:03.9912992Z ##[endgroup]
2022-11-23T01:12:03.9913499Z FINISHED PRINTING LOG FILE of lazy/test_meta_kernel (/var/lib/jenkins/workspace/test/test-reports/lazy-test_meta_kernel_q8nxlv9j)
2022-11-23T01:12:03.9913726Z 
2022-11-23T01:12:08.8459255Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:12:08.9597457Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:12:09.0161850Z Ignoring disabled issues:  []
2022-11-23T01:12:09.0367656Z Running test_cuda_sanitizer ... [2022-11-23 01:12:09.036387]
2022-11-23T01:12:09.0369324Z Executing ['/opt/conda/bin/python', '-bb', 'test_cuda_sanitizer.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:12:09.036690]
2022-11-23T01:12:09.1224971Z Ignoring disabled issues:  []
2022-11-23T01:12:09.1432159Z Running test_matmul_cuda ... [2022-11-23 01:12:09.142823]
2022-11-23T01:12:09.1433544Z Executing ['/opt/conda/bin/python', '-bb', 'test_matmul_cuda.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:12:09.143126]
2022-11-23T01:12:13.5111920Z 
2022-11-23T01:12:13.5112481Z Expand the folded group to see the log file of test_cuda_sanitizer
2022-11-23T01:12:13.5113714Z ##[group]PRINTING LOG FILE of test_cuda_sanitizer (/var/lib/jenkins/workspace/test/test-reports/test_cuda_sanitizer_60nrg6z8)
2022-11-23T01:12:13.5114308Z CUDA not available, skipping tests
2022-11-23T01:12:13.5114546Z 
2022-11-23T01:12:13.5114661Z Running tests...
2022-11-23T01:12:13.5115247Z ----------------------------------------------------------------------
2022-11-23T01:12:13.5115423Z 
2022-11-23T01:12:13.5115622Z ----------------------------------------------------------------------
2022-11-23T01:12:13.5116050Z Ran 0 tests in 0.000s
2022-11-23T01:12:13.5116152Z 
2022-11-23T01:12:13.5116215Z OK
2022-11-23T01:12:13.5116306Z 
2022-11-23T01:12:13.5116392Z Generating XML reports...
2022-11-23T01:12:13.5116734Z Test results will be stored in test-reports/python-unittest/test_cuda_sanitizer
2022-11-23T01:12:13.5116920Z 
2022-11-23T01:12:13.5117470Z ##[endgroup]
2022-11-23T01:12:13.5117979Z FINISHED PRINTING LOG FILE of test_cuda_sanitizer (/var/lib/jenkins/workspace/test/test-reports/test_cuda_sanitizer_60nrg6z8)
2022-11-23T01:12:13.5118203Z 
2022-11-23T01:12:14.8563958Z 
2022-11-23T01:12:14.8564590Z Expand the folded group to see the log file of test_matmul_cuda
2022-11-23T01:12:14.8565523Z ##[group]PRINTING LOG FILE of test_matmul_cuda (/var/lib/jenkins/workspace/test/test-reports/test_matmul_cuda_lvorekcf)
2022-11-23T01:12:14.8565877Z 
2022-11-23T01:12:14.8565972Z Running tests...
2022-11-23T01:12:14.8566590Z ----------------------------------------------------------------------
2022-11-23T01:12:14.8566880Z 
2022-11-23T01:12:14.8567198Z ----------------------------------------------------------------------
2022-11-23T01:12:14.8567478Z Ran 0 tests in 0.000s
2022-11-23T01:12:14.8567579Z 
2022-11-23T01:12:14.8567642Z OK
2022-11-23T01:12:14.8567733Z 
2022-11-23T01:12:14.8567822Z Generating XML reports...
2022-11-23T01:12:14.8568160Z Test results will be stored in test-reports/python-unittest/test_matmul_cuda
2022-11-23T01:12:14.8568346Z 
2022-11-23T01:12:14.8568570Z ##[endgroup]
2022-11-23T01:12:14.8568954Z FINISHED PRINTING LOG FILE of test_matmul_cuda (/var/lib/jenkins/workspace/test/test-reports/test_matmul_cuda_lvorekcf)
2022-11-23T01:12:14.8569170Z 
2022-11-23T01:12:18.4706400Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:12:18.6387332Z Ignoring disabled issues:  []
2022-11-23T01:12:18.6597829Z Running inductor/test_torchinductor ... [2022-11-23 01:12:18.659463]
2022-11-23T01:12:18.6600752Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_torchinductor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:12:18.659850]
2022-11-23T01:12:19.8205291Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:12:19.9870645Z Ignoring disabled issues:  []
2022-11-23T01:12:20.0077627Z Running test_proxy_tensor ... [2022-11-23 01:12:20.007429]
2022-11-23T01:12:20.0079918Z Executing ['/opt/conda/bin/python', '-bb', 'test_proxy_tensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:12:20.007747]
2022-11-23T01:28:24.9374176Z 
2022-11-23T01:28:24.9382922Z Expand the folded group to see the log file of test_proxy_tensor
2022-11-23T01:28:24.9384095Z ##[group]PRINTING LOG FILE of test_proxy_tensor (/var/lib/jenkins/workspace/test/test-reports/test_proxy_tensor_fb6nrqb6)
2022-11-23T01:28:24.9385188Z Test results will be stored in test-reports/python-unittest/test_proxy_tensor
2022-11-23T01:28:24.9385645Z 
2022-11-23T01:28:24.9388551Z Running tests...
2022-11-23T01:28:24.9389114Z ----------------------------------------------------------------------
2022-11-23T01:28:24.9389595Z   test_alias (__main__.TestFakeProxyTensor) ... ok (0.055s)
2022-11-23T01:28:24.9390014Z   test_issue82547 (__main__.TestFakeProxyTensor) ... ok (0.068s)
2022-11-23T01:28:24.9390445Z   test_meta (__main__.TestFakeProxyTensor) ... ok (0.119s)
2022-11-23T01:28:24.9456794Z   test_use_fake_and_tensor (__main__.TestFakeProxyTensor) ... ok (0.034s)
2022-11-23T01:28:24.9457227Z   test_allclose (__main__.TestGenericProxyTensorFake) ... ok (0.011s)
2022-11-23T01:28:24.9458054Z   test_amp_cache (__main__.TestGenericProxyTensorFake) ... skip: CUDA-only test (0.001s)
2022-11-23T01:28:24.9458538Z   test_constant_blowup (__main__.TestGenericProxyTensorFake) ... ok (0.017s)
2022-11-23T01:28:24.9459704Z   test_constant_proxy_tensor_mut (__main__.TestGenericProxyTensorFake) ... ok (0.026s)
2022-11-23T01:28:24.9460338Z   test_constant_random (__main__.TestGenericProxyTensorFake) ... ok (0.008s)
2022-11-23T01:28:24.9460709Z   test_constant_unbind (__main__.TestGenericProxyTensorFake) ... ok (0.008s)
2022-11-23T01:28:24.9461205Z   test_decomp_of_capture (__main__.TestGenericProxyTensorFake) ... ok (0.009s)
2022-11-23T01:28:24.9461538Z   test_decomposition_interpreter (__main__.TestGenericProxyTensorFake) ... ok (0.019s)
2022-11-23T01:28:24.9461867Z   test_has_proxy (__main__.TestGenericProxyTensorFake) ... ok (0.006s)
2022-11-23T01:28:24.9462187Z   test_inplace_metadata (__main__.TestGenericProxyTensorFake) ... ok (0.007s)
2022-11-23T01:28:24.9462582Z   test_isolated_graphmodule (__main__.TestGenericProxyTensorFake) ... ok (0.085s)
2022-11-23T01:28:24.9518956Z   test_make_fx_model_double_param (__main__.TestGenericProxyTensorFake) ... ok (0.025s)
2022-11-23T01:28:24.9523998Z   test_make_fx_model_fwd_bwd (__main__.TestGenericProxyTensorFake) ... ok (0.113s)
2022-11-23T01:28:24.9524584Z   test_make_fx_model_fwd_bwd_wgtupdate (__main__.TestGenericProxyTensorFake) ... ok (0.069s)
2022-11-23T01:28:24.9524959Z   test_make_fx_overloads (__main__.TestGenericProxyTensorFake) ... ok (0.010s)
2022-11-23T01:28:24.9525340Z   test_make_fx_reentrant_dispatch (__main__.TestGenericProxyTensorFake) ... ok (0.010s)
2022-11-23T01:28:24.9525672Z   test_make_fx_simple (__main__.TestGenericProxyTensorFake) ... ok (0.007s)
2022-11-23T01:28:24.9525996Z   test_mode_tracing_factory_function (__main__.TestGenericProxyTensorFake) ... ok (0.007s)
2022-11-23T01:28:24.9526512Z   test_partial_decomp (__main__.TestGenericProxyTensorFake) ... ok (0.029s)
2022-11-23T01:28:24.9526987Z   test_pr_86917 (__main__.TestGenericProxyTensorFake) ... ok (0.027s)
2022-11-23T01:28:24.9527332Z   test_proxy_tensor (__main__.TestGenericProxyTensorFake) ... ok (0.048s)
2022-11-23T01:28:24.9527916Z   test_proxy_tensor_mode_with_decomp_table_preserves_proxy (__main__.TestGenericProxyTensorFake) ... ok (0.010s)
2022-11-23T01:28:24.9528510Z   test_resnet18_backward_trace (__main__.TestGenericProxyTensorFake) ... ok (8.505s)
2022-11-23T01:28:24.9529010Z   test_scalar_device (__main__.TestGenericProxyTensorFake) ... ok (0.009s)
2022-11-23T01:28:24.9529488Z   test_strides (__main__.TestGenericProxyTensorFake) ... ok (0.018s)
2022-11-23T01:28:24.9529954Z   test_tensor_constants (__main__.TestGenericProxyTensorFake) ... ok (0.012s)
2022-11-23T01:28:24.9530395Z   test_trace_subclasses (__main__.TestGenericProxyTensorFake) ... ok (0.014s)
2022-11-23T01:28:24.9530918Z   test_val_metadata_mutation (__main__.TestGenericProxyTensorFake) ... ok (0.006s)
2022-11-23T01:28:24.9532710Z   test_varargs (__main__.TestGenericProxyTensorFake) ... ok (0.008s)
2022-11-23T01:28:24.9533053Z   test_allclose (__main__.TestGenericProxyTensorReal) ... ok (0.005s)
2022-11-23T01:28:24.9533553Z   test_amp_cache (__main__.TestGenericProxyTensorReal) ... skip: CUDA-only test (0.001s)
2022-11-23T01:28:24.9533925Z   test_constant_blowup (__main__.TestGenericProxyTensorReal) ... ok (0.007s)
2022-11-23T01:28:24.9534256Z   test_constant_proxy_tensor_mut (__main__.TestGenericProxyTensorReal) ... ok (0.033s)
2022-11-23T01:28:24.9534630Z   test_constant_random (__main__.TestGenericProxyTensorReal) ... ok (0.006s)
2022-11-23T01:28:24.9534941Z   test_constant_unbind (__main__.TestGenericProxyTensorReal) ... ok (0.007s)
2022-11-23T01:28:24.9535264Z   test_decomp_of_capture (__main__.TestGenericProxyTensorReal) ... ok (0.009s)
2022-11-23T01:28:24.9535649Z   test_decomposition_interpreter (__main__.TestGenericProxyTensorReal) ... ok (0.012s)
2022-11-23T01:28:24.9535974Z   test_has_proxy (__main__.TestGenericProxyTensorReal) ... ok (0.006s)
2022-11-23T01:28:24.9536329Z   test_inplace_metadata (__main__.TestGenericProxyTensorReal) ... ok (0.008s)
2022-11-23T01:28:24.9536661Z   test_isolated_graphmodule (__main__.TestGenericProxyTensorReal) ... ok (0.089s)
2022-11-23T01:28:24.9537042Z   test_make_fx_model_double_param (__main__.TestGenericProxyTensorReal) ... ok (0.016s)
2022-11-23T01:28:24.9537363Z   test_make_fx_model_fwd_bwd (__main__.TestGenericProxyTensorReal) ... ok (0.054s)
2022-11-23T01:28:24.9537750Z   test_make_fx_model_fwd_bwd_wgtupdate (__main__.TestGenericProxyTensorReal) ... ok (0.060s)
2022-11-23T01:28:24.9538250Z   test_make_fx_overloads (__main__.TestGenericProxyTensorReal) ... ok (0.009s)
2022-11-23T01:28:24.9538634Z   test_make_fx_reentrant_dispatch (__main__.TestGenericProxyTensorReal) ... ok (0.009s)
2022-11-23T01:28:24.9538951Z   test_make_fx_simple (__main__.TestGenericProxyTensorReal) ... ok (0.006s)
2022-11-23T01:28:24.9539338Z   test_mode_tracing_factory_function (__main__.TestGenericProxyTensorReal) ... ok (0.007s)
2022-11-23T01:28:24.9539738Z   test_partial_decomp (__main__.TestGenericProxyTensorReal) ... ok (0.028s)
2022-11-23T01:28:24.9540080Z   test_pr_86917 (__main__.TestGenericProxyTensorReal) ... ok (0.009s)
2022-11-23T01:28:24.9540386Z   test_proxy_tensor (__main__.TestGenericProxyTensorReal) ... ok (0.051s)
2022-11-23T01:28:24.9540791Z   test_proxy_tensor_mode_with_decomp_table_preserves_proxy (__main__.TestGenericProxyTensorReal) ... ok (0.008s)
2022-11-23T01:28:24.9541154Z   test_resnet18_backward_trace (__main__.TestGenericProxyTensorReal) ... ok (9.366s)
2022-11-23T01:28:24.9541516Z   test_scalar_device (__main__.TestGenericProxyTensorReal) ... ok (0.009s)
2022-11-23T01:28:24.9541823Z   test_strides (__main__.TestGenericProxyTensorReal) ... ok (0.018s)
2022-11-23T01:28:24.9542149Z   test_tensor_constants (__main__.TestGenericProxyTensorReal) ... ok (0.012s)
2022-11-23T01:28:24.9542483Z   test_trace_subclasses (__main__.TestGenericProxyTensorReal) ... ok (0.017s)
2022-11-23T01:28:24.9542808Z   test_val_metadata_mutation (__main__.TestGenericProxyTensorReal) ... ok (0.007s)
2022-11-23T01:28:24.9543176Z   test_varargs (__main__.TestGenericProxyTensorReal) ... ok (0.012s)
2022-11-23T01:28:24.9543490Z   test_allclose (__main__.TestGenericProxyTensorSymbolic) ... ok (0.081s)
2022-11-23T01:28:24.9543956Z   test_amp_cache (__main__.TestGenericProxyTensorSymbolic) ... skip: CUDA-only test (0.001s)
2022-11-23T01:28:24.9544311Z   test_constant_blowup (__main__.TestGenericProxyTensorSymbolic) ... ok (0.015s)
2022-11-23T01:28:24.9544713Z   test_constant_proxy_tensor_mut (__main__.TestGenericProxyTensorSymbolic) ... ok (0.023s)
2022-11-23T01:28:24.9545123Z   test_constant_random (__main__.TestGenericProxyTensorSymbolic) ... ok (0.009s)
2022-11-23T01:28:24.9545506Z   test_constant_unbind (__main__.TestGenericProxyTensorSymbolic) ... ok (0.011s)
2022-11-23T01:28:24.9545847Z   test_decomp_of_capture (__main__.TestGenericProxyTensorSymbolic) ... ok (0.010s)
2022-11-23T01:28:24.9546254Z   test_decomposition_interpreter (__main__.TestGenericProxyTensorSymbolic) ... ok (0.046s)
2022-11-23T01:28:24.9546581Z   test_has_proxy (__main__.TestGenericProxyTensorSymbolic) ... ok (0.006s)
2022-11-23T01:28:24.9546962Z   test_inplace_metadata (__main__.TestGenericProxyTensorSymbolic) ... ok (0.020s)
2022-11-23T01:28:24.9547307Z   test_isolated_graphmodule (__main__.TestGenericProxyTensorSymbolic) ... ok (0.091s)
2022-11-23T01:28:24.9547694Z   test_make_fx_model_double_param (__main__.TestGenericProxyTensorSymbolic) ... ok (0.015s)
2022-11-23T01:28:24.9548049Z   test_make_fx_model_fwd_bwd (__main__.TestGenericProxyTensorSymbolic) ... ok (0.241s)
2022-11-23T01:28:24.9548451Z   test_make_fx_model_fwd_bwd_wgtupdate (__main__.TestGenericProxyTensorSymbolic) ... ok (0.235s)
2022-11-23T01:28:24.9548825Z   test_make_fx_overloads (__main__.TestGenericProxyTensorSymbolic) ... expected failure (0.026s)
2022-11-23T01:28:24.9549230Z   test_make_fx_reentrant_dispatch (__main__.TestGenericProxyTensorSymbolic) ... ok (0.021s)
2022-11-23T01:28:24.9549578Z   test_make_fx_simple (__main__.TestGenericProxyTensorSymbolic) ... ok (0.017s)
2022-11-23T01:28:24.9549977Z   test_mode_tracing_factory_function (__main__.TestGenericProxyTensorSymbolic) ... ok (0.020s)
2022-11-23T01:28:24.9550312Z   test_partial_decomp (__main__.TestGenericProxyTensorSymbolic) ... ok (0.029s)
2022-11-23T01:28:24.9550721Z   test_pr_86917 (__main__.TestGenericProxyTensorSymbolic) ... ok (0.047s)
2022-11-23T01:28:24.9551041Z   test_proxy_tensor (__main__.TestGenericProxyTensorSymbolic) ... ok (0.127s)
2022-11-23T01:28:24.9551512Z   test_proxy_tensor_mode_with_decomp_table_preserves_proxy (__main__.TestGenericProxyTensorSymbolic) ... ok (0.008s)
2022-11-23T01:28:24.9551890Z   test_resnet18_backward_trace (__main__.TestGenericProxyTensorSymbolic) ... ok (34.452s)
2022-11-23T01:28:24.9552272Z   test_scalar_device (__main__.TestGenericProxyTensorSymbolic) ... ok (0.029s)
2022-11-23T01:28:24.9552598Z   test_strides (__main__.TestGenericProxyTensorSymbolic) ... ok (0.019s)
2022-11-23T01:28:24.9553034Z   test_tensor_constants (__main__.TestGenericProxyTensorSymbolic) ... ok (0.015s)
2022-11-23T01:28:24.9553392Z   test_trace_subclasses (__main__.TestGenericProxyTensorSymbolic) ... expected failure (0.015s)
2022-11-23T01:28:24.9553794Z   test_val_metadata_mutation (__main__.TestGenericProxyTensorSymbolic) ... ok (0.050s)
2022-11-23T01:28:24.9554127Z   test_varargs (__main__.TestGenericProxyTensorSymbolic) ... ok (0.041s)
2022-11-23T01:28:24.9554503Z   test_make_fx_exhaustive_H_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.025s)
2022-11-23T01:28:24.9554835Z   test_make_fx_exhaustive_T_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2022-11-23T01:28:24.9555238Z   test_make_fx_exhaustive___getitem___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.174s)
2022-11-23T01:28:24.9555601Z   test_make_fx_exhaustive___radd___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.068s)
2022-11-23T01:28:24.9556007Z   test_make_fx_exhaustive___rdiv___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.095s)
2022-11-23T01:28:24.9556356Z   test_make_fx_exhaustive___rmatmul___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.184s)
2022-11-23T01:28:24.9556752Z   test_make_fx_exhaustive___rmod___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.070s)
2022-11-23T01:28:24.9557282Z   test_make_fx_exhaustive___rmul___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.068s)
2022-11-23T01:28:24.9558571Z   test_make_fx_exhaustive___rpow___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:28:24.9559610Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2022-11-23T01:28:24.9559985Z ok (0.120s)
2022-11-23T01:28:24.9560437Z   test_make_fx_exhaustive___rsub___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.066s)
2022-11-23T01:28:24.9561142Z   test_make_fx_exhaustive__softmax_backward_data_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2022-11-23T01:28:24.9561659Z   test_make_fx_exhaustive_abs_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9562281Z   test_make_fx_exhaustive_acos_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s)
2022-11-23T01:28:24.9562909Z   test_make_fx_exhaustive_acosh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s)
2022-11-23T01:28:24.9563557Z   test_make_fx_exhaustive_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.088s)
2022-11-23T01:28:24.9564175Z   test_make_fx_exhaustive_addbmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s)
2022-11-23T01:28:24.9564831Z   test_make_fx_exhaustive_addcdiv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.117s)
2022-11-23T01:28:24.9565481Z   test_make_fx_exhaustive_addcmul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.112s)
2022-11-23T01:28:24.9565843Z   test_make_fx_exhaustive_addmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.028s)
2022-11-23T01:28:24.9566347Z   test_make_fx_exhaustive_addmm_decomposed_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.028s)
2022-11-23T01:28:24.9567018Z   test_make_fx_exhaustive_addmv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s)
2022-11-23T01:28:24.9567613Z   test_make_fx_exhaustive_addr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.054s)
2022-11-23T01:28:24.9568383Z   test_make_fx_exhaustive_all_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.080s)
2022-11-23T01:28:24.9569002Z   test_make_fx_exhaustive_allclose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.006s)
2022-11-23T01:28:24.9569642Z   test_make_fx_exhaustive_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.129s)
2022-11-23T01:28:24.9570326Z   test_make_fx_exhaustive_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.146s)
2022-11-23T01:28:24.9571573Z   test_make_fx_exhaustive_aminmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... [W Resize.cpp:31] Warning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output_check)
2022-11-23T01:28:24.9573387Z [W Resize.cpp:31] Warning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output_check)
2022-11-23T01:28:24.9574946Z test_proxy_tensor.py:1394: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:28:24.9576007Z   return fn(*args, **kwargs)
2022-11-23T01:28:24.9576229Z ok (0.055s)
2022-11-23T01:28:24.9576682Z   test_make_fx_exhaustive_angle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2022-11-23T01:28:24.9577327Z   test_make_fx_exhaustive_any_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.072s)
2022-11-23T01:28:24.9577833Z   test_make_fx_exhaustive_arange_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.143s)
2022-11-23T01:28:24.9578475Z   test_make_fx_exhaustive_argmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.073s)
2022-11-23T01:28:24.9579096Z   test_make_fx_exhaustive_argmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.070s)
2022-11-23T01:28:24.9579752Z   test_make_fx_exhaustive_argsort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.285s)
2022-11-23T01:28:24.9580328Z   test_make_fx_exhaustive_argwhere_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2022-11-23T01:28:24.9580990Z   test_make_fx_exhaustive_as_strided_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s)
2022-11-23T01:28:24.9581618Z   test_make_fx_exhaustive_as_strided_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.085s)
2022-11-23T01:28:24.9582286Z   test_make_fx_exhaustive_asin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.010s)
2022-11-23T01:28:24.9582878Z   test_make_fx_exhaustive_asinh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9583511Z   test_make_fx_exhaustive_atan2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.068s)
2022-11-23T01:28:24.9584148Z   test_make_fx_exhaustive_atan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.010s)
2022-11-23T01:28:24.9584698Z   test_make_fx_exhaustive_atanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2022-11-23T01:28:24.9585425Z   test_make_fx_exhaustive_atleast_1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s)
2022-11-23T01:28:24.9586070Z   test_make_fx_exhaustive_atleast_2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2022-11-23T01:28:24.9587031Z   test_make_fx_exhaustive_atleast_3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2022-11-23T01:28:24.9587775Z   test_make_fx_exhaustive_baddbmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.072s)
2022-11-23T01:28:24.9588454Z   test_make_fx_exhaustive_bernoulli_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s)
2022-11-23T01:28:24.9589141Z   test_make_fx_exhaustive_bfloat16_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s)
2022-11-23T01:28:24.9589972Z   test_make_fx_exhaustive_block_diag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:24.9590752Z   test_make_fx_exhaustive_bmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2022-11-23T01:28:24.9591358Z   test_make_fx_exhaustive_bool_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.028s)
2022-11-23T01:28:24.9591821Z   test_make_fx_exhaustive_broadcast_shapes_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s)
2022-11-23T01:28:24.9592618Z   test_make_fx_exhaustive_broadcast_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9593269Z   test_make_fx_exhaustive_broadcast_to_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s)
2022-11-23T01:28:24.9593941Z   test_make_fx_exhaustive_bucketize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.168s)
2022-11-23T01:28:24.9594634Z   test_make_fx_exhaustive_byte_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s)
2022-11-23T01:28:24.9595385Z   test_make_fx_exhaustive_cartesian_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s)
2022-11-23T01:28:24.9596399Z   test_make_fx_exhaustive_cat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.062s)
2022-11-23T01:28:24.9596919Z   test_make_fx_exhaustive_cdist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.834s)
2022-11-23T01:28:24.9597680Z   test_make_fx_exhaustive_cdouble_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s)
2022-11-23T01:28:24.9598378Z   test_make_fx_exhaustive_ceil_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9598929Z   test_make_fx_exhaustive_cfloat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.034s)
2022-11-23T01:28:24.9600220Z   test_make_fx_exhaustive_chalf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_methods_invocations.py:14387: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.)
2022-11-23T01:28:24.9600853Z   op=lambda x, *args, **kwargs: x.chalf(*args, **kwargs),
2022-11-23T01:28:24.9601120Z ok (0.035s)
2022-11-23T01:28:24.9601492Z   test_make_fx_exhaustive_char_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2022-11-23T01:28:24.9602478Z   test_make_fx_exhaustive_cholesky_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1394: UserWarning: torch.cholesky is deprecated in favor of torch.linalg.cholesky and will be removed in a future PyTorch release.
2022-11-23T01:28:24.9602952Z L = torch.cholesky(A)
2022-11-23T01:28:24.9603203Z should be replaced with
2022-11-23T01:28:24.9603434Z L = torch.linalg.cholesky(A)
2022-11-23T01:28:24.9603701Z and
2022-11-23T01:28:24.9603968Z U = torch.cholesky(A, upper=True)
2022-11-23T01:28:24.9604315Z should be replaced with
2022-11-23T01:28:24.9645270Z U = torch.linalg.cholesky(A).mH().
2022-11-23T01:28:24.9645825Z This transform will produce equivalent results for all valid (symmetric positive definite) inputs. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:1729.)
2022-11-23T01:28:24.9646202Z   return fn(*args, **kwargs)
2022-11-23T01:28:24.9646386Z ok (0.166s)
2022-11-23T01:28:24.9646671Z   test_make_fx_exhaustive_cholesky_inverse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.103s)
2022-11-23T01:28:24.9647181Z   test_make_fx_exhaustive_cholesky_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.105s)
2022-11-23T01:28:24.9647534Z   test_make_fx_exhaustive_chunk_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2022-11-23T01:28:24.9647889Z   test_make_fx_exhaustive_clamp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.044s)
2022-11-23T01:28:24.9648258Z   test_make_fx_exhaustive_clamp_max_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.066s)
2022-11-23T01:28:24.9648645Z   test_make_fx_exhaustive_clamp_min_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.062s)
2022-11-23T01:28:24.9648986Z   test_make_fx_exhaustive_clone_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2022-11-23T01:28:24.9649329Z   test_make_fx_exhaustive_column_stack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s)
2022-11-23T01:28:24.9649687Z   test_make_fx_exhaustive_combinations_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.597s)
2022-11-23T01:28:24.9650033Z   test_make_fx_exhaustive_complex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.069s)
2022-11-23T01:28:24.9650368Z   test_make_fx_exhaustive_conj_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2022-11-23T01:28:24.9650713Z   test_make_fx_exhaustive_conj_physical_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2022-11-23T01:28:24.9651077Z   test_make_fx_exhaustive_constant_pad_nd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.316s)
2022-11-23T01:28:24.9651426Z   test_make_fx_exhaustive_contiguous_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s)
2022-11-23T01:28:24.9651769Z   test_make_fx_exhaustive_copysign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.071s)
2022-11-23T01:28:24.9652135Z   test_make_fx_exhaustive_corrcoef_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.016s)
2022-11-23T01:28:24.9652481Z   test_make_fx_exhaustive_cos_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9652815Z   test_make_fx_exhaustive_cosh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2022-11-23T01:28:24.9653158Z   test_make_fx_exhaustive_count_nonzero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.109s)
2022-11-23T01:28:24.9653523Z   test_make_fx_exhaustive_cov_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.015s)
2022-11-23T01:28:24.9653874Z   test_make_fx_exhaustive_cross_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s)
2022-11-23T01:28:24.9654220Z   test_make_fx_exhaustive_cummax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s)
2022-11-23T01:28:24.9654576Z   test_make_fx_exhaustive_cummin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s)
2022-11-23T01:28:24.9654921Z   test_make_fx_exhaustive_cumprod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.060s)
2022-11-23T01:28:24.9655254Z   test_make_fx_exhaustive_cumsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s)
2022-11-23T01:28:24.9655610Z   test_make_fx_exhaustive_cumulative_trapezoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.170s)
2022-11-23T01:28:24.9655966Z   test_make_fx_exhaustive_deg2rad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9656296Z   test_make_fx_exhaustive_diag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.095s)
2022-11-23T01:28:24.9656641Z   test_make_fx_exhaustive_diag_embed_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.089s)
2022-11-23T01:28:24.9656988Z   test_make_fx_exhaustive_diagflat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2022-11-23T01:28:24.9657339Z   test_make_fx_exhaustive_diagonal_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.089s)
2022-11-23T01:28:24.9657683Z   test_make_fx_exhaustive_diagonal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.084s)
2022-11-23T01:28:24.9658036Z   test_make_fx_exhaustive_diagonal_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.110s)
2022-11-23T01:28:24.9658421Z   test_make_fx_exhaustive_diff_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.256s)
2022-11-23T01:28:24.9658756Z   test_make_fx_exhaustive_digamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9659083Z   test_make_fx_exhaustive_dist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.364s)
2022-11-23T01:28:24.9659458Z   test_make_fx_exhaustive_div_floor_rounding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s)
2022-11-23T01:28:24.9659824Z   test_make_fx_exhaustive_div_no_rounding_mode_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.070s)
2022-11-23T01:28:24.9660185Z   test_make_fx_exhaustive_div_trunc_rounding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.073s)
2022-11-23T01:28:24.9660521Z   test_make_fx_exhaustive_dot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2022-11-23T01:28:24.9660858Z   test_make_fx_exhaustive_double_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s)
2022-11-23T01:28:24.9661200Z   test_make_fx_exhaustive_dsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2022-11-23T01:28:24.9661531Z   test_make_fx_exhaustive_dstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s)
2022-11-23T01:28:24.9661865Z   test_make_fx_exhaustive_einsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.189s)
2022-11-23T01:28:24.9662219Z   test_make_fx_exhaustive_empty_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:24.9662585Z   test_make_fx_exhaustive_empty_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:24.9662929Z   test_make_fx_exhaustive_eq_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.071s)
2022-11-23T01:28:24.9663283Z   test_make_fx_exhaustive_equal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.005s)
2022-11-23T01:28:24.9663631Z   test_make_fx_exhaustive_erf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9663964Z   test_make_fx_exhaustive_erfc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9664298Z   test_make_fx_exhaustive_erfinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9664634Z   test_make_fx_exhaustive_exp2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9665061Z   test_make_fx_exhaustive_exp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2022-11-23T01:28:24.9665402Z   test_make_fx_exhaustive_expand_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s)
2022-11-23T01:28:24.9665758Z   test_make_fx_exhaustive_expand_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.054s)
2022-11-23T01:28:24.9666107Z   test_make_fx_exhaustive_expm1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9666450Z   test_make_fx_exhaustive_eye_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.453s)
2022-11-23T01:28:24.9666792Z   test_make_fx_exhaustive_fft_fft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.089s)
2022-11-23T01:28:24.9667145Z   test_make_fx_exhaustive_fft_fft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.077s)
2022-11-23T01:28:24.9667500Z   test_make_fx_exhaustive_fft_fftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.077s)
2022-11-23T01:28:24.9667851Z   test_make_fx_exhaustive_fft_fftshift_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s)
2022-11-23T01:28:24.9668215Z   test_make_fx_exhaustive_fft_hfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.093s)
2022-11-23T01:28:24.9668570Z   test_make_fx_exhaustive_fft_hfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.089s)
2022-11-23T01:28:24.9668912Z   test_make_fx_exhaustive_fft_hfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.107s)
2022-11-23T01:28:24.9669244Z   test_make_fx_exhaustive_fft_ifft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.059s)
2022-11-23T01:28:24.9669630Z   test_make_fx_exhaustive_fft_ifft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.063s)
2022-11-23T01:28:24.9669978Z   test_make_fx_exhaustive_fft_ifftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.085s)
2022-11-23T01:28:24.9670337Z   test_make_fx_exhaustive_fft_ifftshift_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.211s)
2022-11-23T01:28:24.9670709Z   test_make_fx_exhaustive_fft_ihfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.065s)
2022-11-23T01:28:24.9671059Z   test_make_fx_exhaustive_fft_ihfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.062s)
2022-11-23T01:28:24.9671410Z   test_make_fx_exhaustive_fft_ihfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.077s)
2022-11-23T01:28:24.9671755Z   test_make_fx_exhaustive_fft_irfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.058s)
2022-11-23T01:28:24.9672092Z   test_make_fx_exhaustive_fft_irfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.071s)
2022-11-23T01:28:24.9672440Z   test_make_fx_exhaustive_fft_irfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s)
2022-11-23T01:28:24.9672792Z   test_make_fx_exhaustive_fft_rfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.052s)
2022-11-23T01:28:24.9673130Z   test_make_fx_exhaustive_fft_rfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s)
2022-11-23T01:28:24.9673480Z   test_make_fx_exhaustive_fft_rfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.061s)
2022-11-23T01:28:24.9673826Z   test_make_fx_exhaustive_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s)
2022-11-23T01:28:24.9674181Z   test_make_fx_exhaustive_flatten_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s)
2022-11-23T01:28:24.9674518Z   test_make_fx_exhaustive_flip_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.062s)
2022-11-23T01:28:24.9674867Z   test_make_fx_exhaustive_fliplr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2022-11-23T01:28:24.9675224Z   test_make_fx_exhaustive_flipud_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2022-11-23T01:28:24.9675562Z   test_make_fx_exhaustive_float_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s)
2022-11-23T01:28:24.9675919Z   test_make_fx_exhaustive_float_power_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.096s)
2022-11-23T01:28:24.9676277Z   test_make_fx_exhaustive_floor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9676631Z   test_make_fx_exhaustive_floor_divide_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.065s)
2022-11-23T01:28:24.9676969Z   test_make_fx_exhaustive_fmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.067s)
2022-11-23T01:28:24.9677482Z   test_make_fx_exhaustive_fmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.063s)
2022-11-23T01:28:24.9677830Z   test_make_fx_exhaustive_fmod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.071s)
2022-11-23T01:28:24.9678176Z   test_make_fx_exhaustive_frac_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9678507Z   test_make_fx_exhaustive_frexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s)
2022-11-23T01:28:24.9678844Z   test_make_fx_exhaustive_full_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s)
2022-11-23T01:28:24.9679191Z   test_make_fx_exhaustive_full_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s)
2022-11-23T01:28:24.9679545Z   test_make_fx_exhaustive_gather_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2022-11-23T01:28:24.9679880Z   test_make_fx_exhaustive_ge_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.062s)
2022-11-23T01:28:24.9680231Z   test_make_fx_exhaustive_geqrf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.318s)
2022-11-23T01:28:24.9680584Z   test_make_fx_exhaustive_gradient_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.715s)
2022-11-23T01:28:24.9680999Z   test_make_fx_exhaustive_grid_sampler_2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.142s)
2022-11-23T01:28:24.9681358Z   test_make_fx_exhaustive_gt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.069s)
2022-11-23T01:28:24.9681708Z   test_make_fx_exhaustive_half_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s)
2022-11-23T01:28:24.9682093Z   test_make_fx_exhaustive_heaviside_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.063s)
2022-11-23T01:28:24.9682437Z   test_make_fx_exhaustive_histc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.605s)
2022-11-23T01:28:24.9682789Z   test_make_fx_exhaustive_histogram_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.964s)
2022-11-23T01:28:24.9683151Z   test_make_fx_exhaustive_histogramdd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.716s)
2022-11-23T01:28:24.9683496Z   test_make_fx_exhaustive_hsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2022-11-23T01:28:24.9683851Z   test_make_fx_exhaustive_hstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s)
2022-11-23T01:28:24.9684201Z   test_make_fx_exhaustive_hypot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.095s)
2022-11-23T01:28:24.9684535Z   test_make_fx_exhaustive_i0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s)
2022-11-23T01:28:24.9684970Z   test_make_fx_exhaustive_igamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.065s)
2022-11-23T01:28:24.9685327Z   test_make_fx_exhaustive_igammac_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.066s)
2022-11-23T01:28:24.9685685Z   test_make_fx_exhaustive_index_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.077s)
2022-11-23T01:28:24.9686044Z   test_make_fx_exhaustive_index_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s)
2022-11-23T01:28:24.9686390Z   test_make_fx_exhaustive_index_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s)
2022-11-23T01:28:24.9686755Z   test_make_fx_exhaustive_index_put_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2022-11-23T01:28:24.9687330Z   test_make_fx_exhaustive_index_reduce_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1394: UserWarning: index_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1070.)
2022-11-23T01:28:24.9687810Z   return fn(*args, **kwargs)
2022-11-23T01:28:24.9687976Z ok (0.287s)
2022-11-23T01:28:24.9688249Z   test_make_fx_exhaustive_index_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2022-11-23T01:28:24.9688606Z   test_make_fx_exhaustive_inner_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s)
2022-11-23T01:28:24.9688940Z   test_make_fx_exhaustive_int_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2022-11-23T01:28:24.9689286Z   test_make_fx_exhaustive_isclose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.423s)
2022-11-23T01:28:24.9689646Z   test_make_fx_exhaustive_isfinite_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s)
2022-11-23T01:28:24.9689999Z   test_make_fx_exhaustive_isin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2022-11-23T01:28:24.9690333Z   test_make_fx_exhaustive_isinf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9690684Z   test_make_fx_exhaustive_isnan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.006s)
2022-11-23T01:28:24.9691036Z   test_make_fx_exhaustive_isneginf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s)
2022-11-23T01:28:24.9691387Z   test_make_fx_exhaustive_isposinf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.006s)
2022-11-23T01:28:24.9691726Z   test_make_fx_exhaustive_isreal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s)
2022-11-23T01:28:24.9692112Z   test_make_fx_exhaustive_jiterator_2inputs_2outputs_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T01:28:24.9692591Z   test_make_fx_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T01:28:24.9693008Z   test_make_fx_exhaustive_jiterator_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T01:28:24.9693458Z   test_make_fx_exhaustive_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T01:28:24.9693863Z   test_make_fx_exhaustive_jiterator_unary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T01:28:24.9694233Z   test_make_fx_exhaustive_kron_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s)
2022-11-23T01:28:24.9694573Z   test_make_fx_exhaustive_kthvalue_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.076s)
2022-11-23T01:28:24.9694924Z   test_make_fx_exhaustive_ldexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.087s)
2022-11-23T01:28:24.9695274Z   test_make_fx_exhaustive_le_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.059s)
2022-11-23T01:28:24.9695834Z   test_make_fx_exhaustive_lerp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.113s)
2022-11-23T01:28:24.9696333Z   test_make_fx_exhaustive_lgamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9696984Z   test_make_fx_exhaustive_linalg_cholesky_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.182s)
2022-11-23T01:28:24.9697528Z   test_make_fx_exhaustive_linalg_cholesky_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.121s)
2022-11-23T01:28:24.9697892Z   test_make_fx_exhaustive_linalg_cond_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.053s)
2022-11-23T01:28:24.9698243Z   test_make_fx_exhaustive_linalg_cross_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2022-11-23T01:28:24.9698754Z   test_make_fx_exhaustive_linalg_det_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.090s)
2022-11-23T01:28:24.9699434Z   test_make_fx_exhaustive_linalg_det_singular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.323s)
2022-11-23T01:28:24.9699878Z   test_make_fx_exhaustive_linalg_eig_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.087s)
2022-11-23T01:28:24.9700327Z   test_make_fx_exhaustive_linalg_eigh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.096s)
2022-11-23T01:28:24.9700689Z   test_make_fx_exhaustive_linalg_eigvals_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.109s)
2022-11-23T01:28:24.9701092Z   test_make_fx_exhaustive_linalg_eigvalsh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.064s)
2022-11-23T01:28:24.9701710Z   test_make_fx_exhaustive_linalg_householder_product_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.061s)
2022-11-23T01:28:24.9702403Z   test_make_fx_exhaustive_linalg_inv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.077s)
2022-11-23T01:28:24.9703071Z   test_make_fx_exhaustive_linalg_inv_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.067s)
2022-11-23T01:28:24.9703655Z   test_make_fx_exhaustive_linalg_ldl_factor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2022-11-23T01:28:24.9704104Z   test_make_fx_exhaustive_linalg_ldl_factor_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2022-11-23T01:28:24.9704483Z   test_make_fx_exhaustive_linalg_ldl_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.128s)
2022-11-23T01:28:24.9704945Z   test_make_fx_exhaustive_linalg_lstsq_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:24.9705362Z   test_make_fx_exhaustive_linalg_lstsq_grad_oriented_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:24.9705739Z   test_make_fx_exhaustive_linalg_lu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.167s)
2022-11-23T01:28:24.9706190Z   test_make_fx_exhaustive_linalg_lu_factor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.160s)
2022-11-23T01:28:24.9706566Z   test_make_fx_exhaustive_linalg_lu_factor_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.136s)
2022-11-23T01:28:24.9706943Z   test_make_fx_exhaustive_linalg_lu_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.849s)
2022-11-23T01:28:24.9707347Z   test_make_fx_exhaustive_linalg_matrix_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.680s)
2022-11-23T01:28:24.9707729Z   test_make_fx_exhaustive_linalg_matrix_power_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.315s)
2022-11-23T01:28:24.9708107Z   test_make_fx_exhaustive_linalg_matrix_rank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.223s)
2022-11-23T01:28:24.9708482Z   test_make_fx_exhaustive_linalg_matrix_rank_hermitian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.134s)
2022-11-23T01:28:24.9708874Z   test_make_fx_exhaustive_linalg_multi_dot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.077s)
2022-11-23T01:28:24.9709251Z   test_make_fx_exhaustive_linalg_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.801s)
2022-11-23T01:28:24.9709641Z   test_make_fx_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.630s)
2022-11-23T01:28:24.9710015Z   test_make_fx_exhaustive_linalg_pinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.207s)
2022-11-23T01:28:24.9710396Z   test_make_fx_exhaustive_linalg_pinv_hermitian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.065s)
2022-11-23T01:28:24.9710849Z   test_make_fx_exhaustive_linalg_pinv_singular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:28:24.9711280Z   test_make_fx_exhaustive_linalg_qr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.310s)
2022-11-23T01:28:24.9711637Z   test_make_fx_exhaustive_linalg_slogdet_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.139s)
2022-11-23T01:28:24.9712014Z   test_make_fx_exhaustive_linalg_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.243s)
2022-11-23T01:28:24.9712382Z   test_make_fx_exhaustive_linalg_solve_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.215s)
2022-11-23T01:28:24.9712767Z   test_make_fx_exhaustive_linalg_solve_triangular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.773s)
2022-11-23T01:28:24.9713134Z   test_make_fx_exhaustive_linalg_svd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.016s)
2022-11-23T01:28:24.9713506Z   test_make_fx_exhaustive_linalg_svdvals_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.313s)
2022-11-23T01:28:24.9713879Z   test_make_fx_exhaustive_linalg_tensorinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s)
2022-11-23T01:28:24.9714257Z   test_make_fx_exhaustive_linalg_tensorsolve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.090s)
2022-11-23T01:28:24.9714620Z   test_make_fx_exhaustive_linalg_vander_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.171s)
2022-11-23T01:28:24.9714987Z   test_make_fx_exhaustive_linalg_vecdot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.376s)
2022-11-23T01:28:24.9715363Z   test_make_fx_exhaustive_linalg_vector_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.592s)
2022-11-23T01:28:24.9715722Z   test_make_fx_exhaustive_linspace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.240s)
2022-11-23T01:28:24.9716080Z   test_make_fx_exhaustive_log10_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2022-11-23T01:28:24.9716436Z   test_make_fx_exhaustive_log1p_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9716788Z   test_make_fx_exhaustive_log2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9717238Z   test_make_fx_exhaustive_log_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9717850Z   test_make_fx_exhaustive_log_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s)
2022-11-23T01:28:24.9718433Z   test_make_fx_exhaustive_log_softmax_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2022-11-23T01:28:24.9719057Z   test_make_fx_exhaustive_logaddexp2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s)
2022-11-23T01:28:24.9719796Z   test_make_fx_exhaustive_logaddexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2022-11-23T01:28:24.9720471Z   test_make_fx_exhaustive_logcumsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2022-11-23T01:28:24.9721040Z   test_make_fx_exhaustive_logdet_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.162s)
2022-11-23T01:28:24.9721508Z   test_make_fx_exhaustive_logical_and_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.069s)
2022-11-23T01:28:24.9721880Z   test_make_fx_exhaustive_logical_not_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.020s)
2022-11-23T01:28:24.9722247Z   test_make_fx_exhaustive_logical_or_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.074s)
2022-11-23T01:28:24.9722613Z   test_make_fx_exhaustive_logical_xor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.069s)
2022-11-23T01:28:24.9722957Z   test_make_fx_exhaustive_logit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s)
2022-11-23T01:28:24.9723320Z   test_make_fx_exhaustive_logspace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.567s)
2022-11-23T01:28:24.9723684Z   test_make_fx_exhaustive_logsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.119s)
2022-11-23T01:28:24.9724039Z   test_make_fx_exhaustive_long_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s)
2022-11-23T01:28:24.9724373Z   test_make_fx_exhaustive_lt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.085s)
2022-11-23T01:28:24.9725200Z   test_make_fx_exhaustive_lu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/functional.py:1727: UserWarning: torch.lu is deprecated in favor of torch.linalg.lu_factor / torch.linalg.lu_factor_ex and will be removed in a future PyTorch release.
2022-11-23T01:28:24.9725694Z LU, pivots = torch.lu(A, compute_pivots)
2022-11-23T01:28:24.9725907Z should be replaced with
2022-11-23T01:28:24.9726125Z LU, pivots = torch.linalg.lu_factor(A, compute_pivots)
2022-11-23T01:28:24.9726332Z and
2022-11-23T01:28:24.9726552Z LU, pivots, info = torch.lu(A, compute_pivots, get_infos=True)
2022-11-23T01:28:24.9726770Z should be replaced with
2022-11-23T01:28:24.9727137Z LU, pivots, info = torch.linalg.lu_factor_ex(A, compute_pivots) (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2028.)
2022-11-23T01:28:24.9727535Z   return torch._lu_with_info(A, pivot=pivot, check_errors=(not get_infos))
2022-11-23T01:28:24.9727755Z ok (0.335s)
2022-11-23T01:28:24.9728169Z   test_make_fx_exhaustive_lu_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1394: UserWarning: torch.lu_solve is deprecated in favor of torch.linalg.lu_solveand will be removed in a future PyTorch release.
2022-11-23T01:28:24.9728623Z Note that torch.linalg.lu_solve has its arguments reversed.
2022-11-23T01:28:24.9728866Z X = torch.lu_solve(B, LU, pivots)
2022-11-23T01:28:24.9729051Z should be replaced with
2022-11-23T01:28:24.9729391Z X = torch.linalg.lu_solve(LU, pivots, B) (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2182.)
2022-11-23T01:28:24.9729716Z   return fn(*args, **kwargs)
2022-11-23T01:28:24.9729883Z ok (0.254s)
2022-11-23T01:28:24.9730157Z   test_make_fx_exhaustive_lu_unpack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.185s)
2022-11-23T01:28:24.9730516Z   test_make_fx_exhaustive_mH_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.246s)
2022-11-23T01:28:24.9730864Z   test_make_fx_exhaustive_mT_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s)
2022-11-23T01:28:24.9731265Z   test_make_fx_exhaustive_masked_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.025s)
2022-11-23T01:28:24.9731635Z   test_make_fx_exhaustive_masked_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.144s)
2022-11-23T01:28:24.9732002Z   test_make_fx_exhaustive_masked_argmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.709s)
2022-11-23T01:28:24.9732405Z   test_make_fx_exhaustive_masked_argmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.691s)
2022-11-23T01:28:24.9732771Z   test_make_fx_exhaustive_masked_cumprod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.142s)
2022-11-23T01:28:24.9733146Z   test_make_fx_exhaustive_masked_cumsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.142s)
2022-11-23T01:28:24.9733515Z   test_make_fx_exhaustive_masked_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.063s)
2022-11-23T01:28:24.9733875Z   test_make_fx_exhaustive_masked_log_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.178s)
2022-11-23T01:28:24.9734267Z   test_make_fx_exhaustive_masked_logaddexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.246s)
2022-11-23T01:28:24.9734650Z   test_make_fx_exhaustive_masked_logsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.105s)
2022-11-23T01:28:24.9735017Z   test_make_fx_exhaustive_masked_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.798s)
2022-11-23T01:28:24.9735373Z   test_make_fx_exhaustive_masked_median_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.214s)
2022-11-23T01:28:24.9735738Z   test_make_fx_exhaustive_masked_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.206s)
2022-11-23T01:28:24.9736104Z   test_make_fx_exhaustive_masked_normalize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.361s)
2022-11-23T01:28:24.9736469Z   test_make_fx_exhaustive_masked_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.165s)
2022-11-23T01:28:24.9736883Z   test_make_fx_exhaustive_masked_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2022-11-23T01:28:24.9737249Z   test_make_fx_exhaustive_masked_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s)
2022-11-23T01:28:24.9737627Z   test_make_fx_exhaustive_masked_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.190s)
2022-11-23T01:28:24.9738001Z   test_make_fx_exhaustive_masked_softmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.254s)
2022-11-23T01:28:24.9738371Z   test_make_fx_exhaustive_masked_std_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.370s)
2022-11-23T01:28:24.9738719Z   test_make_fx_exhaustive_masked_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.070s)
2022-11-23T01:28:24.9739078Z   test_make_fx_exhaustive_masked_var_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.212s)
2022-11-23T01:28:24.9739435Z   test_make_fx_exhaustive_matmul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.169s)
2022-11-23T01:28:24.9739785Z   test_make_fx_exhaustive_matrix_exp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2022-11-23T01:28:24.9740146Z   test_make_fx_exhaustive_max_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.070s)
2022-11-23T01:28:24.9740530Z   test_make_fx_exhaustive_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.567s)
2022-11-23T01:28:24.9740931Z   test_make_fx_exhaustive_max_reduction_no_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2022-11-23T01:28:24.9741308Z   test_make_fx_exhaustive_max_reduction_with_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s)
2022-11-23T01:28:24.9741678Z   test_make_fx_exhaustive_maximum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.071s)
2022-11-23T01:28:24.9742034Z   test_make_fx_exhaustive_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.128s)
2022-11-23T01:28:24.9742390Z   test_make_fx_exhaustive_median_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.098s)
2022-11-23T01:28:24.9742794Z   test_make_fx_exhaustive_meshgrid_list_of_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.147s)
2022-11-23T01:28:24.9743190Z   test_make_fx_exhaustive_meshgrid_variadic_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.146s)
2022-11-23T01:28:24.9743572Z   test_make_fx_exhaustive_min_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.067s)
2022-11-23T01:28:24.9743972Z   test_make_fx_exhaustive_min_reduction_no_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s)
2022-11-23T01:28:24.9744342Z   test_make_fx_exhaustive_min_reduction_with_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s)
2022-11-23T01:28:24.9744710Z   test_make_fx_exhaustive_minimum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.070s)
2022-11-23T01:28:24.9745147Z   test_make_fx_exhaustive_mm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s)
2022-11-23T01:28:24.9745485Z   test_make_fx_exhaustive_mode_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.058s)
2022-11-23T01:28:24.9745841Z   test_make_fx_exhaustive_movedim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s)
2022-11-23T01:28:24.9746208Z   test_make_fx_exhaustive_msort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.095s)
2022-11-23T01:28:24.9746566Z   test_make_fx_exhaustive_mul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.068s)
2022-11-23T01:28:24.9746914Z   test_make_fx_exhaustive_multinomial_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.064s)
2022-11-23T01:28:24.9747271Z   test_make_fx_exhaustive_mv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2022-11-23T01:28:24.9747649Z   test_make_fx_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.091s)
2022-11-23T01:28:24.9748027Z   test_make_fx_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.088s)
2022-11-23T01:28:24.9748392Z   test_make_fx_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.084s)
2022-11-23T01:28:24.9748757Z   test_make_fx_exhaustive_nan_to_num_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s)
2022-11-23T01:28:24.9749117Z   test_make_fx_exhaustive_nanmean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.562s)
2022-11-23T01:28:24.9749476Z   test_make_fx_exhaustive_nanmedian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.099s)
2022-11-23T01:28:24.9749848Z   test_make_fx_exhaustive_nanquantile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.017s)
2022-11-23T01:28:24.9750221Z   test_make_fx_exhaustive_nansum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.213s)
2022-11-23T01:28:24.9750583Z   test_make_fx_exhaustive_narrow_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2022-11-23T01:28:24.9750944Z   test_make_fx_exhaustive_narrow_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.020s)
2022-11-23T01:28:24.9751333Z   test_make_fx_exhaustive_native_batch_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.145s)
2022-11-23T01:28:24.9751721Z   test_make_fx_exhaustive_native_dropout_backward_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.070s)
2022-11-23T01:28:24.9752098Z   test_make_fx_exhaustive_native_layer_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.219s)
2022-11-23T01:28:24.9752443Z   test_make_fx_exhaustive_ne_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.060s)
2022-11-23T01:28:24.9752792Z   test_make_fx_exhaustive_neg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9753157Z   test_make_fx_exhaustive_new_empty_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:24.9753593Z   test_make_fx_exhaustive_new_empty_strided_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2022-11-23T01:28:24.9754041Z   test_make_fx_exhaustive_new_full_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s)
2022-11-23T01:28:24.9754396Z   test_make_fx_exhaustive_new_ones_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.043s)
2022-11-23T01:28:24.9754755Z   test_make_fx_exhaustive_new_zeros_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s)
2022-11-23T01:28:24.9755113Z   test_make_fx_exhaustive_nextafter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.063s)
2022-11-23T01:28:24.9755526Z   test_make_fx_exhaustive_nn_functional__scaled_dot_product_attention_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.717s)
2022-11-23T01:28:24.9755950Z   test_make_fx_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.062s)
2022-11-23T01:28:24.9756358Z   test_make_fx_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.066s)
2022-11-23T01:28:24.9756764Z   test_make_fx_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.087s)
2022-11-23T01:28:24.9757319Z   test_make_fx_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.100s)
2022-11-23T01:28:24.9757916Z   test_make_fx_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.243s)
2022-11-23T01:28:24.9758517Z   test_make_fx_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.197s)
2022-11-23T01:28:24.9759206Z   test_make_fx_exhaustive_nn_functional_alpha_dropout_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.144s)
2022-11-23T01:28:24.9759723Z   test_make_fx_exhaustive_nn_functional_avg_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.089s)
2022-11-23T01:28:24.9760289Z   test_make_fx_exhaustive_nn_functional_avg_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.053s)
2022-11-23T01:28:24.9760939Z   test_make_fx_exhaustive_nn_functional_avg_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s)
2022-11-23T01:28:24.9761501Z   test_make_fx_exhaustive_nn_functional_batch_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.180s)
2022-11-23T01:28:24.9761875Z   test_make_fx_exhaustive_nn_functional_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.303s)
2022-11-23T01:28:24.9762275Z   test_make_fx_exhaustive_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.090s)
2022-11-23T01:28:24.9762692Z   test_make_fx_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.235s)
2022-11-23T01:28:24.9763335Z   test_make_fx_exhaustive_nn_functional_celu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s)
2022-11-23T01:28:24.9764004Z   test_make_fx_exhaustive_nn_functional_conv1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.112s)
2022-11-23T01:28:24.9765525Z   test_make_fx_exhaustive_nn_functional_conv2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1394: UserWarning: Using padding='same' with even kernel lengths and odd dilation may require a zero-padded copy of the input be created (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Convolution.cpp:996.)
2022-11-23T01:28:24.9766380Z   return fn(*args, **kwargs)
2022-11-23T01:28:24.9766673Z ok (0.376s)
2022-11-23T01:28:24.9767072Z   test_make_fx_exhaustive_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.118s)
2022-11-23T01:28:24.9767732Z   test_make_fx_exhaustive_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.144s)
2022-11-23T01:28:24.9768393Z   test_make_fx_exhaustive_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.172s)
2022-11-23T01:28:24.9769071Z   test_make_fx_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.250s)
2022-11-23T01:28:24.9769845Z   test_make_fx_exhaustive_nn_functional_cosine_similarity_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.262s)
2022-11-23T01:28:24.9770506Z   test_make_fx_exhaustive_nn_functional_cross_entropy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.289s)
2022-11-23T01:28:24.9771148Z   test_make_fx_exhaustive_nn_functional_ctc_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.140s)
2022-11-23T01:28:24.9773247Z   test_make_fx_exhaustive_nn_functional_dropout2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2022-11-23T01:28:24.9774680Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2022-11-23T01:28:24.9775077Z ok (0.108s)
2022-11-23T01:28:24.9775547Z   test_make_fx_exhaustive_nn_functional_dropout3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.136s)
2022-11-23T01:28:24.9776197Z   test_make_fx_exhaustive_nn_functional_dropout_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.143s)
2022-11-23T01:28:24.9776828Z   test_make_fx_exhaustive_nn_functional_elu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2022-11-23T01:28:24.9777452Z   test_make_fx_exhaustive_nn_functional_embedding_bag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.827s)
2022-11-23T01:28:24.9778088Z   test_make_fx_exhaustive_nn_functional_embedding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.097s)
2022-11-23T01:28:24.9778757Z   test_make_fx_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.081s)
2022-11-23T01:28:24.9780505Z   test_make_fx_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.051s)
2022-11-23T01:28:24.9781222Z   test_make_fx_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.398s)
2022-11-23T01:28:24.9781923Z   test_make_fx_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.546s)
2022-11-23T01:28:24.9782593Z   test_make_fx_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.011s)
2022-11-23T01:28:24.9783267Z   test_make_fx_exhaustive_nn_functional_gelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.062s)
2022-11-23T01:28:24.9783897Z   test_make_fx_exhaustive_nn_functional_glu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.315s)
2022-11-23T01:28:24.9784545Z   test_make_fx_exhaustive_nn_functional_grid_sample_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.236s)
2022-11-23T01:28:24.9785280Z   test_make_fx_exhaustive_nn_functional_group_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.229s)
2022-11-23T01:28:24.9785992Z   test_make_fx_exhaustive_nn_functional_hardshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2022-11-23T01:28:24.9786726Z   test_make_fx_exhaustive_nn_functional_hardsigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2022-11-23T01:28:24.9787418Z   test_make_fx_exhaustive_nn_functional_hardswish_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.025s)
2022-11-23T01:28:24.9787806Z   test_make_fx_exhaustive_nn_functional_hardtanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2022-11-23T01:28:24.9788193Z   test_make_fx_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.228s)
2022-11-23T01:28:24.9788592Z   test_make_fx_exhaustive_nn_functional_huber_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.070s)
2022-11-23T01:28:24.9789039Z   test_make_fx_exhaustive_nn_functional_instance_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.321s)
2022-11-23T01:28:24.9789440Z   test_make_fx_exhaustive_nn_functional_interpolate_area_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.099s)
2022-11-23T01:28:24.9789866Z   test_make_fx_exhaustive_nn_functional_interpolate_bicubic_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.095s)
2022-11-23T01:28:24.9790280Z   test_make_fx_exhaustive_nn_functional_interpolate_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.083s)
2022-11-23T01:28:24.9790687Z   test_make_fx_exhaustive_nn_functional_interpolate_linear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.081s)
2022-11-23T01:28:24.9791099Z   test_make_fx_exhaustive_nn_functional_interpolate_nearest_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.087s)
2022-11-23T01:28:24.9791505Z   test_make_fx_exhaustive_nn_functional_interpolate_trilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.098s)
2022-11-23T01:28:24.9792505Z   test_make_fx_exhaustive_nn_functional_kl_div_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T01:28:24.9793225Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2022-11-23T01:28:24.9793469Z ok (0.204s)
2022-11-23T01:28:24.9793737Z   test_make_fx_exhaustive_nn_functional_l1_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.064s)
2022-11-23T01:28:24.9794131Z   test_make_fx_exhaustive_nn_functional_layer_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.065s)
2022-11-23T01:28:24.9794525Z   test_make_fx_exhaustive_nn_functional_leaky_relu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.058s)
2022-11-23T01:28:24.9794912Z   test_make_fx_exhaustive_nn_functional_linear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.206s)
2022-11-23T01:28:24.9795292Z   test_make_fx_exhaustive_nn_functional_local_response_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.214s)
2022-11-23T01:28:24.9795694Z   test_make_fx_exhaustive_nn_functional_logsigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s)
2022-11-23T01:28:24.9796089Z   test_make_fx_exhaustive_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.391s)
2022-11-23T01:28:24.9796483Z   test_make_fx_exhaustive_nn_functional_max_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.352s)
2022-11-23T01:28:24.9796859Z   test_make_fx_exhaustive_nn_functional_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.918s)
2022-11-23T01:28:24.9797394Z   test_make_fx_exhaustive_nn_functional_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.112s)
2022-11-23T01:28:24.9797808Z   test_make_fx_exhaustive_nn_functional_max_unpool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:24.9798221Z   test_make_fx_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.285s)
2022-11-23T01:28:24.9798621Z   test_make_fx_exhaustive_nn_functional_max_unpool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:24.9799027Z   test_make_fx_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.395s)
2022-11-23T01:28:24.9799441Z   test_make_fx_exhaustive_nn_functional_max_unpool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:24.9799846Z   test_make_fx_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.194s)
2022-11-23T01:28:24.9800299Z   test_make_fx_exhaustive_nn_functional_mish_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2022-11-23T01:28:24.9800680Z   test_make_fx_exhaustive_nn_functional_mse_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s)
2022-11-23T01:28:24.9801072Z   test_make_fx_exhaustive_nn_functional_multi_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2022-11-23T01:28:24.9801517Z   test_make_fx_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s)
2022-11-23T01:28:24.9801921Z   test_make_fx_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.117s)
2022-11-23T01:28:24.9802324Z   test_make_fx_exhaustive_nn_functional_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.560s)
2022-11-23T01:28:24.9802705Z   test_make_fx_exhaustive_nn_functional_normalize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.092s)
2022-11-23T01:28:24.9803096Z   test_make_fx_exhaustive_nn_functional_pad_circular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.202s)
2022-11-23T01:28:24.9803481Z   test_make_fx_exhaustive_nn_functional_pad_constant_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.330s)
2022-11-23T01:28:24.9803871Z   test_make_fx_exhaustive_nn_functional_pad_reflect_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.083s)
2022-11-23T01:28:24.9804267Z   test_make_fx_exhaustive_nn_functional_pad_replicate_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.088s)
2022-11-23T01:28:24.9804655Z   test_make_fx_exhaustive_nn_functional_pairwise_distance_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.077s)
2022-11-23T01:28:24.9805048Z   test_make_fx_exhaustive_nn_functional_pdist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s)
2022-11-23T01:28:24.9805433Z   test_make_fx_exhaustive_nn_functional_pixel_shuffle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s)
2022-11-23T01:28:24.9805828Z   test_make_fx_exhaustive_nn_functional_pixel_unshuffle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s)
2022-11-23T01:28:24.9806212Z   test_make_fx_exhaustive_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.558s)
2022-11-23T01:28:24.9806596Z   test_make_fx_exhaustive_nn_functional_prelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.164s)
2022-11-23T01:28:24.9806974Z   test_make_fx_exhaustive_nn_functional_relu6_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9807353Z   test_make_fx_exhaustive_nn_functional_relu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s)
2022-11-23T01:28:24.9807716Z   test_make_fx_exhaustive_nn_functional_rrelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.028s)
2022-11-23T01:28:24.9808093Z   test_make_fx_exhaustive_nn_functional_selu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9808468Z   test_make_fx_exhaustive_nn_functional_silu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9808850Z   test_make_fx_exhaustive_nn_functional_smooth_l1_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.062s)
2022-11-23T01:28:24.9809231Z   test_make_fx_exhaustive_nn_functional_soft_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2022-11-23T01:28:24.9809621Z   test_make_fx_exhaustive_nn_functional_softmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2022-11-23T01:28:24.9810010Z   test_make_fx_exhaustive_nn_functional_softmin_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.064s)
2022-11-23T01:28:24.9810404Z   test_make_fx_exhaustive_nn_functional_softplus_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s)
2022-11-23T01:28:24.9810776Z   test_make_fx_exhaustive_nn_functional_softshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s)
2022-11-23T01:28:24.9811191Z   test_make_fx_exhaustive_nn_functional_softsign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s)
2022-11-23T01:28:24.9811576Z   test_make_fx_exhaustive_nn_functional_tanhshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s)
2022-11-23T01:28:24.9811958Z   test_make_fx_exhaustive_nn_functional_threshold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s)
2022-11-23T01:28:24.9812389Z   test_make_fx_exhaustive_nn_functional_triplet_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.173s)
2022-11-23T01:28:24.9812809Z   test_make_fx_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.178s)
2022-11-23T01:28:24.9813214Z   test_make_fx_exhaustive_nn_functional_unfold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.661s)
2022-11-23T01:28:24.9813990Z   test_make_fx_exhaustive_nn_functional_upsample_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4074: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:28:24.9814560Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:28:24.9814840Z ok (0.034s)
2022-11-23T01:28:24.9815492Z   test_make_fx_exhaustive_nn_functional_upsample_nearest_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:28:24.9816055Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:28:24.9816319Z ok (0.089s)
2022-11-23T01:28:24.9816674Z   test_make_fx_exhaustive_nonzero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.183s)
2022-11-23T01:28:24.9817032Z   test_make_fx_exhaustive_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.265s)
2022-11-23T01:28:24.9817395Z   test_make_fx_exhaustive_norm_fro_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2022-11-23T01:28:24.9817744Z   test_make_fx_exhaustive_norm_inf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.025s)
2022-11-23T01:28:24.9818103Z   test_make_fx_exhaustive_norm_nuc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s)
2022-11-23T01:28:24.9818456Z   test_make_fx_exhaustive_normal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.044s)
2022-11-23T01:28:24.9818813Z   test_make_fx_exhaustive_normal_number_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s)
2022-11-23T01:28:24.9819173Z   test_make_fx_exhaustive_ones_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2022-11-23T01:28:24.9819527Z   test_make_fx_exhaustive_ones_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s)
2022-11-23T01:28:24.9819876Z   test_make_fx_exhaustive_ormqr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.898s)
2022-11-23T01:28:24.9820213Z   test_make_fx_exhaustive_outer_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.010s)
2022-11-23T01:28:24.9820571Z   test_make_fx_exhaustive_pca_lowrank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (9.831s)
2022-11-23T01:28:24.9820933Z   test_make_fx_exhaustive_permute_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s)
2022-11-23T01:28:24.9821291Z   test_make_fx_exhaustive_pinverse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.087s)
2022-11-23T01:28:24.9821635Z   test_make_fx_exhaustive_polar_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.071s)
2022-11-23T01:28:24.9822006Z   test_make_fx_exhaustive_polygamma_polygamma_n_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.062s)
2022-11-23T01:28:24.9822397Z   test_make_fx_exhaustive_polygamma_polygamma_n_1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s)
2022-11-23T01:28:24.9822810Z   test_make_fx_exhaustive_polygamma_polygamma_n_2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s)
2022-11-23T01:28:24.9823191Z   test_make_fx_exhaustive_polygamma_polygamma_n_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.060s)
2022-11-23T01:28:24.9823571Z   test_make_fx_exhaustive_polygamma_polygamma_n_4_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s)
2022-11-23T01:28:24.9823971Z   test_make_fx_exhaustive_positive_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2022-11-23T01:28:24.9824317Z   test_make_fx_exhaustive_pow_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.064s)
2022-11-23T01:28:24.9824663Z   test_make_fx_exhaustive_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.232s)
2022-11-23T01:28:24.9825092Z   test_make_fx_exhaustive_put_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.187s)
2022-11-23T01:28:24.9825572Z   test_make_fx_exhaustive_qr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1394: UserWarning: torch.qr is deprecated in favor of torch.linalg.qr and will be removed in a future PyTorch release.
2022-11-23T01:28:24.9826088Z The boolean parameter 'some' has been replaced with a string parameter 'mode'.
2022-11-23T01:28:24.9826338Z Q, R = torch.qr(A, some)
2022-11-23T01:28:24.9826527Z should be replaced with
2022-11-23T01:28:24.9826986Z Q, R = torch.linalg.qr(A, 'reduced' if some else 'complete') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2458.)
2022-11-23T01:28:24.9827448Z   return fn(*args, **kwargs)
2022-11-23T01:28:24.9827667Z ok (0.312s)
2022-11-23T01:28:24.9827953Z   test_make_fx_exhaustive_quantile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.014s)
2022-11-23T01:28:24.9828323Z   test_make_fx_exhaustive_rad2deg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9828681Z   test_make_fx_exhaustive_rand_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s)
2022-11-23T01:28:24.9829048Z   test_make_fx_exhaustive_randint_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.098s)
2022-11-23T01:28:24.9829412Z   test_make_fx_exhaustive_randint_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.093s)
2022-11-23T01:28:24.9829758Z   test_make_fx_exhaustive_randn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2022-11-23T01:28:24.9830119Z   test_make_fx_exhaustive_randn_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s)
2022-11-23T01:28:24.9830474Z   test_make_fx_exhaustive_ravel_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s)
2022-11-23T01:28:24.9830806Z   test_make_fx_exhaustive_real_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2022-11-23T01:28:24.9831164Z   test_make_fx_exhaustive_reciprocal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2022-11-23T01:28:24.9831523Z   test_make_fx_exhaustive_remainder_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.065s)
2022-11-23T01:28:24.9831882Z   test_make_fx_exhaustive_renorm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.028s)
2022-11-23T01:28:24.9832221Z   test_make_fx_exhaustive_repeat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.244s)
2022-11-23T01:28:24.9832590Z   test_make_fx_exhaustive_repeat_interleave_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.059s)
2022-11-23T01:28:24.9832958Z   test_make_fx_exhaustive_reshape_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s)
2022-11-23T01:28:24.9833315Z   test_make_fx_exhaustive_reshape_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2022-11-23T01:28:24.9833650Z   test_make_fx_exhaustive_resize__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s)
2022-11-23T01:28:24.9834008Z   test_make_fx_exhaustive_resize_as__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.025s)
2022-11-23T01:28:24.9834365Z   test_make_fx_exhaustive_resolve_conj_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s)
2022-11-23T01:28:24.9834762Z   test_make_fx_exhaustive_resolve_neg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s)
2022-11-23T01:28:24.9835113Z   test_make_fx_exhaustive_roll_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.103s)
2022-11-23T01:28:24.9835461Z   test_make_fx_exhaustive_rot90_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.267s)
2022-11-23T01:28:24.9835842Z   test_make_fx_exhaustive_round_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9836192Z   test_make_fx_exhaustive_round_decimals_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2022-11-23T01:28:24.9836570Z   test_make_fx_exhaustive_round_decimals_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2022-11-23T01:28:24.9836945Z   test_make_fx_exhaustive_round_decimals_neg_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2022-11-23T01:28:24.9837452Z   test_make_fx_exhaustive_rsqrt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2022-11-23T01:28:24.9837789Z   test_make_fx_exhaustive_rsub_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.084s)
2022-11-23T01:28:24.9838149Z   test_make_fx_exhaustive_scalar_tensor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s)
2022-11-23T01:28:24.9838514Z   test_make_fx_exhaustive_scatter_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.064s)
2022-11-23T01:28:24.9838880Z   test_make_fx_exhaustive_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.213s)
2022-11-23T01:28:24.9839457Z   test_make_fx_exhaustive_scatter_reduce_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1394: UserWarning: scatter_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1681.)
2022-11-23T01:28:24.9839945Z   return fn(*args, **kwargs)
2022-11-23T01:28:24.9840126Z ok (0.188s)
2022-11-23T01:28:24.9840392Z   test_make_fx_exhaustive_scatter_reduce_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.186s)
2022-11-23T01:28:24.9840779Z   test_make_fx_exhaustive_scatter_reduce_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.196s)
2022-11-23T01:28:24.9841156Z   test_make_fx_exhaustive_scatter_reduce_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.186s)
2022-11-23T01:28:24.9841534Z   test_make_fx_exhaustive_scatter_reduce_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.189s)
2022-11-23T01:28:24.9842616Z   test_make_fx_exhaustive_searchsorted_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1394: UserWarning: torch.searchsorted(): input value tensor is non-contiguous, this will lower the performance due to extra data copy when converting non-contiguous tensor to contiguous, please use contiguous input value tensor if possible. This message will only appear once per program. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BucketizationUtils.h:35.)
2022-11-23T01:28:24.9843282Z   return fn(*args, **kwargs)
2022-11-23T01:28:24.9844127Z test_proxy_tensor.py:1394: UserWarning: torch.searchsorted(): boundary tensor is non-contiguous, this will lower the performance due to extra data copy when converting non-contiguous tensor to contiguous, please use contiguous boundary tensor if possible. This message will only appear once per program. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BucketizationUtils.h:41.)
2022-11-23T01:28:24.9844685Z   return fn(*args, **kwargs)
2022-11-23T01:28:24.9844861Z ok (0.747s)
2022-11-23T01:28:24.9845139Z   test_make_fx_exhaustive_segment_reduce_lengths_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.704s)
2022-11-23T01:28:24.9845526Z   test_make_fx_exhaustive_segment_reduce_offsets_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.711s)
2022-11-23T01:28:24.9845899Z   test_make_fx_exhaustive_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2022-11-23T01:28:24.9846330Z   test_make_fx_exhaustive_select_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s)
2022-11-23T01:28:24.9846675Z   test_make_fx_exhaustive_sgn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2022-11-23T01:28:24.9847044Z   test_make_fx_exhaustive_short_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s)
2022-11-23T01:28:24.9847406Z   test_make_fx_exhaustive_sigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9847798Z   test_make_fx_exhaustive_sign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9848158Z   test_make_fx_exhaustive_signal_windows_cosine_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.084s)
2022-11-23T01:28:24.9848548Z   test_make_fx_exhaustive_signal_windows_exponential_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.110s)
2022-11-23T01:28:24.9848943Z   test_make_fx_exhaustive_signal_windows_gaussian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.112s)
2022-11-23T01:28:24.9849318Z   test_make_fx_exhaustive_signal_windows_kaiser_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.161s)
2022-11-23T01:28:24.9849689Z   test_make_fx_exhaustive_signbit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9850036Z   test_make_fx_exhaustive_sin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2022-11-23T01:28:24.9850388Z   test_make_fx_exhaustive_sinc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2022-11-23T01:28:24.9850722Z   test_make_fx_exhaustive_sinh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2022-11-23T01:28:24.9851069Z   test_make_fx_exhaustive_slice_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s)
2022-11-23T01:28:24.9851429Z   test_make_fx_exhaustive_slice_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.117s)
2022-11-23T01:28:24.9851789Z   test_make_fx_exhaustive_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2022-11-23T01:28:24.9852143Z   test_make_fx_exhaustive_softmax_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2022-11-23T01:28:24.9852505Z   test_make_fx_exhaustive_sort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.540s)
2022-11-23T01:28:24.9853572Z   test_make_fx_exhaustive_sparse_sampled_addmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_methods_invocations.py:951: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.)
2022-11-23T01:28:24.9854245Z   torch.eye(m, n, device=device, dtype=dtype)
2022-11-23T01:28:24.9854445Z expected failure (0.013s)
2022-11-23T01:28:24.9854739Z   test_make_fx_exhaustive_special_airy_ai_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s)
2022-11-23T01:28:24.9855119Z   test_make_fx_exhaustive_special_bessel_j0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2022-11-23T01:28:24.9855497Z   test_make_fx_exhaustive_special_bessel_j1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9855858Z   test_make_fx_exhaustive_special_bessel_y0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9856232Z   test_make_fx_exhaustive_special_bessel_y1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2022-11-23T01:28:24.9856621Z   test_make_fx_exhaustive_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.067s)
2022-11-23T01:28:24.9857031Z   test_make_fx_exhaustive_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.073s)
2022-11-23T01:28:24.9857615Z   test_make_fx_exhaustive_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:28:24.9858300Z   test_make_fx_exhaustive_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:28:24.9858746Z   test_make_fx_exhaustive_special_entr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2022-11-23T01:28:24.9859145Z   test_make_fx_exhaustive_special_erfcx_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9859522Z   test_make_fx_exhaustive_special_hermite_polynomial_h_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.067s)
2022-11-23T01:28:24.9859936Z   test_make_fx_exhaustive_special_hermite_polynomial_he_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.070s)
2022-11-23T01:28:24.9860316Z   test_make_fx_exhaustive_special_i0e_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2022-11-23T01:28:24.9860684Z   test_make_fx_exhaustive_special_i1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2022-11-23T01:28:24.9861034Z   test_make_fx_exhaustive_special_i1e_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2022-11-23T01:28:24.9861420Z   test_make_fx_exhaustive_special_laguerre_polynomial_l_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.087s)
2022-11-23T01:28:24.9862012Z   test_make_fx_exhaustive_special_legendre_polynomial_p_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:28:24.9862459Z   test_make_fx_exhaustive_special_log_ndtr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2022-11-23T01:28:24.9862834Z   test_make_fx_exhaustive_special_modified_bessel_i0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2022-11-23T01:28:24.9863231Z   test_make_fx_exhaustive_special_modified_bessel_i1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9863627Z   test_make_fx_exhaustive_special_modified_bessel_k0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9864004Z   test_make_fx_exhaustive_special_modified_bessel_k1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s)
2022-11-23T01:28:24.9864381Z   test_make_fx_exhaustive_special_ndtr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s)
2022-11-23T01:28:24.9864759Z   test_make_fx_exhaustive_special_ndtri_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9865239Z   test_make_fx_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.059s)
2022-11-23T01:28:24.9865645Z   test_make_fx_exhaustive_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9866055Z   test_make_fx_exhaustive_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2022-11-23T01:28:24.9866671Z   test_make_fx_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:28:24.9867333Z   test_make_fx_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:28:24.9867996Z   test_make_fx_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:28:24.9868635Z   test_make_fx_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:28:24.9869145Z   test_make_fx_exhaustive_special_spherical_bessel_j0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9869610Z   test_make_fx_exhaustive_special_xlog1py_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.069s)
2022-11-23T01:28:24.9869984Z   test_make_fx_exhaustive_special_zeta_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.064s)
2022-11-23T01:28:24.9870332Z   test_make_fx_exhaustive_split_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2022-11-23T01:28:24.9870735Z   test_make_fx_exhaustive_split_list_args_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.034s)
2022-11-23T01:28:24.9871115Z   test_make_fx_exhaustive_split_with_sizes_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s)
2022-11-23T01:28:24.9871471Z   test_make_fx_exhaustive_sqrt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9871811Z   test_make_fx_exhaustive_square_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9872168Z   test_make_fx_exhaustive_squeeze_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s)
2022-11-23T01:28:24.9872523Z   test_make_fx_exhaustive_stack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.066s)
2022-11-23T01:28:24.9872873Z   test_make_fx_exhaustive_std_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.067s)
2022-11-23T01:28:24.9873214Z   test_make_fx_exhaustive_std_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.081s)
2022-11-23T01:28:24.9874025Z   test_make_fx_exhaustive_stft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/functional.py:642: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.
2022-11-23T01:28:24.9874697Z Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/SpectralOps.cpp:861.)
2022-11-23T01:28:24.9875074Z   normalized, onesided, return_complex)
2022-11-23T01:28:24.9875258Z ok (0.179s)
2022-11-23T01:28:24.9875518Z   test_make_fx_exhaustive_sub_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.081s)
2022-11-23T01:28:24.9875869Z   test_make_fx_exhaustive_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.124s)
2022-11-23T01:28:24.9876213Z   test_make_fx_exhaustive_sum_to_size_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.092s)
2022-11-23T01:28:24.9876567Z   test_make_fx_exhaustive_svd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.185s)
2022-11-23T01:28:24.9876926Z   test_make_fx_exhaustive_svd_lowrank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (12.323s)
2022-11-23T01:28:24.9877582Z   test_make_fx_exhaustive_symeig_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1394: UserWarning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release.
2022-11-23T01:28:24.9878122Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion.
2022-11-23T01:28:24.9878429Z L, _ = torch.symeig(A, upper=upper)
2022-11-23T01:28:24.9878633Z should be replaced with
2022-11-23T01:28:24.9878933Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L')
2022-11-23T01:28:24.9879134Z and
2022-11-23T01:28:24.9879324Z L, V = torch.symeig(A, eigenvectors=True)
2022-11-23T01:28:24.9879531Z should be replaced with
2022-11-23T01:28:24.9879984Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2909.)
2022-11-23T01:28:24.9880323Z   return fn(*args, **kwargs)
2022-11-23T01:28:24.9880500Z ok (0.080s)
2022-11-23T01:28:24.9880744Z   test_make_fx_exhaustive_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9881107Z   test_make_fx_exhaustive_take_along_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s)
2022-11-23T01:28:24.9881585Z   test_make_fx_exhaustive_take_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.069s)
2022-11-23T01:28:24.9881938Z   test_make_fx_exhaustive_tan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9882271Z   test_make_fx_exhaustive_tanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9882653Z   test_make_fx_exhaustive_tensor_split_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.019s)
2022-11-23T01:28:24.9883073Z   test_make_fx_exhaustive_tensordot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2022-11-23T01:28:24.9883433Z   test_make_fx_exhaustive_tile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.321s)
2022-11-23T01:28:24.9883762Z   test_make_fx_exhaustive_to_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.173s)
2022-11-23T01:28:24.9884134Z   test_make_fx_exhaustive_to_sparse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:24.9884505Z   test_make_fx_exhaustive_topk_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.105s)
2022-11-23T01:28:24.9884842Z   test_make_fx_exhaustive_trace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9885198Z   test_make_fx_exhaustive_transpose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s)
2022-11-23T01:28:24.9885562Z   test_make_fx_exhaustive_trapezoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.167s)
2022-11-23T01:28:24.9885924Z   test_make_fx_exhaustive_trapz_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.169s)
2022-11-23T01:28:24.9886445Z   test_make_fx_exhaustive_triangular_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1394: UserWarning: torch.triangular_solve is deprecated in favor of torch.linalg.solve_triangularand will be removed in a future PyTorch release.
2022-11-23T01:28:24.9886981Z torch.linalg.solve_triangular has its arguments reversed and does not return a copy of one of the inputs.
2022-11-23T01:28:24.9887281Z X = torch.triangular_solve(B, A).solution
2022-11-23T01:28:24.9887493Z should be replaced with
2022-11-23T01:28:24.9887820Z X = torch.linalg.solve_triangular(A, B). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2224.)
2022-11-23T01:28:24.9888141Z   return fn(*args, **kwargs)
2022-11-23T01:28:24.9888317Z ok (0.122s)
2022-11-23T01:28:24.9888565Z   test_make_fx_exhaustive_tril_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2022-11-23T01:28:24.9888909Z   test_make_fx_exhaustive_triu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s)
2022-11-23T01:28:24.9889268Z   test_make_fx_exhaustive_true_divide_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.070s)
2022-11-23T01:28:24.9889625Z   test_make_fx_exhaustive_trunc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2022-11-23T01:28:24.9889967Z   test_make_fx_exhaustive_unbind_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.078s)
2022-11-23T01:28:24.9890326Z   test_make_fx_exhaustive_unflatten_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.068s)
2022-11-23T01:28:24.9890694Z   test_make_fx_exhaustive_unfold_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.148s)
2022-11-23T01:28:24.9891058Z   test_make_fx_exhaustive_unfold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.149s)
2022-11-23T01:28:24.9891410Z   test_make_fx_exhaustive_uniform_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.020s)
2022-11-23T01:28:24.9891778Z   test_make_fx_exhaustive_unique_consecutive_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.907s)
2022-11-23T01:28:24.9892149Z   test_make_fx_exhaustive_unique_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.913s)
2022-11-23T01:28:24.9892542Z   test_make_fx_exhaustive_unsqueeze_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.053s)
2022-11-23T01:28:24.9892896Z   test_make_fx_exhaustive_var_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.061s)
2022-11-23T01:28:24.9893289Z   test_make_fx_exhaustive_var_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.084s)
2022-11-23T01:28:24.9893714Z   test_make_fx_exhaustive_vdot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2022-11-23T01:28:24.9894065Z   test_make_fx_exhaustive_view_as_complex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9894466Z   test_make_fx_exhaustive_view_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s)
2022-11-23T01:28:24.9894826Z   test_make_fx_exhaustive_view_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.044s)
2022-11-23T01:28:24.9895177Z   test_make_fx_exhaustive_view_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.043s)
2022-11-23T01:28:24.9895519Z   test_make_fx_exhaustive_vsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2022-11-23T01:28:24.9895872Z   test_make_fx_exhaustive_vstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s)
2022-11-23T01:28:24.9896225Z   test_make_fx_exhaustive_where_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.052s)
2022-11-23T01:28:24.9896557Z   test_make_fx_exhaustive_xlogy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.063s)
2022-11-23T01:28:24.9896896Z   test_make_fx_exhaustive_zero__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2022-11-23T01:28:24.9897236Z   test_make_fx_exhaustive_zeros_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2022-11-23T01:28:24.9897597Z   test_make_fx_exhaustive_zeros_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2022-11-23T01:28:24.9897941Z   test_make_fx_fake_exhaustive_H_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2022-11-23T01:28:24.9898291Z   test_make_fx_fake_exhaustive_T_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9898697Z   test_make_fx_fake_exhaustive___getitem___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.147s)
2022-11-23T01:28:24.9899112Z   test_make_fx_fake_exhaustive___radd___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.065s)
2022-11-23T01:28:24.9899466Z   test_make_fx_fake_exhaustive___rdiv___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.080s)
2022-11-23T01:28:24.9899845Z   test_make_fx_fake_exhaustive___rmatmul___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.190s)
2022-11-23T01:28:24.9900214Z   test_make_fx_fake_exhaustive___rmod___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.069s)
2022-11-23T01:28:24.9900627Z   test_make_fx_fake_exhaustive___rmul___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.065s)
2022-11-23T01:28:24.9901473Z   test_make_fx_fake_exhaustive___rpow___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:28:24.9902048Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2022-11-23T01:28:24.9902712Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:28:24.9903196Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2022-11-23T01:28:24.9903853Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:28:24.9904315Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2022-11-23T01:28:24.9905040Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:28:24.9905567Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2022-11-23T01:28:24.9906289Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:28:24.9906750Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2022-11-23T01:28:24.9907402Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:28:24.9907869Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2022-11-23T01:28:24.9908518Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:28:24.9908997Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2022-11-23T01:28:24.9909641Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:28:24.9910109Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2022-11-23T01:28:24.9910755Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:28:24.9911220Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2022-11-23T01:28:24.9911432Z ok (0.120s)
2022-11-23T01:28:24.9911707Z   test_make_fx_fake_exhaustive___rsub___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.066s)
2022-11-23T01:28:24.9912098Z   test_make_fx_fake_exhaustive__softmax_backward_data_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s)
2022-11-23T01:28:24.9912485Z   test_make_fx_fake_exhaustive_abs_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.010s)
2022-11-23T01:28:24.9912833Z   test_make_fx_fake_exhaustive_acos_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2022-11-23T01:28:24.9913200Z   test_make_fx_fake_exhaustive_acosh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9913560Z   test_make_fx_fake_exhaustive_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.079s)
2022-11-23T01:28:24.9913916Z   test_make_fx_fake_exhaustive_addbmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.050s)
2022-11-23T01:28:24.9914280Z   test_make_fx_fake_exhaustive_addcdiv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.117s)
2022-11-23T01:28:24.9914652Z   test_make_fx_fake_exhaustive_addcmul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.112s)
2022-11-23T01:28:24.9915019Z   test_make_fx_fake_exhaustive_addmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2022-11-23T01:28:24.9915388Z   test_make_fx_fake_exhaustive_addmm_decomposed_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s)
2022-11-23T01:28:24.9915767Z   test_make_fx_fake_exhaustive_addmv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s)
2022-11-23T01:28:24.9916126Z   test_make_fx_fake_exhaustive_addr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.053s)
2022-11-23T01:28:24.9916489Z   test_make_fx_fake_exhaustive_all_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.080s)
2022-11-23T01:28:24.9916895Z   test_make_fx_fake_exhaustive_allclose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.005s)
2022-11-23T01:28:24.9917421Z   test_make_fx_fake_exhaustive_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.117s)
2022-11-23T01:28:24.9917779Z   test_make_fx_fake_exhaustive_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.115s)
2022-11-23T01:28:24.9918570Z   test_make_fx_fake_exhaustive_aminmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... [W Resize.cpp:31] Warning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output_check)
2022-11-23T01:28:24.9919564Z [W Resize.cpp:31] Warning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output_check)
2022-11-23T01:28:24.9920535Z test_proxy_tensor.py:1394: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:28:24.9921116Z   return fn(*args, **kwargs)
2022-11-23T01:28:24.9921296Z ok (0.049s)
2022-11-23T01:28:24.9921570Z   test_make_fx_fake_exhaustive_angle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9921940Z   test_make_fx_fake_exhaustive_any_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s)
2022-11-23T01:28:24.9922290Z   test_make_fx_fake_exhaustive_arange_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.155s)
2022-11-23T01:28:24.9922653Z   test_make_fx_fake_exhaustive_argmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.069s)
2022-11-23T01:28:24.9923018Z   test_make_fx_fake_exhaustive_argmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.067s)
2022-11-23T01:28:24.9923361Z   test_make_fx_fake_exhaustive_argsort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.246s)
2022-11-23T01:28:24.9923771Z   test_make_fx_fake_exhaustive_argwhere_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.008s)
2022-11-23T01:28:24.9924186Z   test_make_fx_fake_exhaustive_as_strided_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s)
2022-11-23T01:28:24.9924573Z   test_make_fx_fake_exhaustive_as_strided_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2022-11-23T01:28:24.9924933Z   test_make_fx_fake_exhaustive_asin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2022-11-23T01:28:24.9925296Z   test_make_fx_fake_exhaustive_asinh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2022-11-23T01:28:24.9925661Z   test_make_fx_fake_exhaustive_atan2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.067s)
2022-11-23T01:28:24.9926024Z   test_make_fx_fake_exhaustive_atan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2022-11-23T01:28:24.9926372Z   test_make_fx_fake_exhaustive_atanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2022-11-23T01:28:24.9926740Z   test_make_fx_fake_exhaustive_atleast_1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s)
2022-11-23T01:28:24.9927108Z   test_make_fx_fake_exhaustive_atleast_2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2022-11-23T01:28:24.9927519Z   test_make_fx_fake_exhaustive_atleast_3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2022-11-23T01:28:24.9927881Z   test_make_fx_fake_exhaustive_baddbmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.054s)
2022-11-23T01:28:24.9928247Z   test_make_fx_fake_exhaustive_bernoulli_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s)
2022-11-23T01:28:24.9928625Z   test_make_fx_fake_exhaustive_bfloat16_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2022-11-23T01:28:24.9929010Z   test_make_fx_fake_exhaustive_block_diag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:24.9929390Z   test_make_fx_fake_exhaustive_bmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2022-11-23T01:28:24.9929746Z   test_make_fx_fake_exhaustive_bool_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2022-11-23T01:28:24.9930111Z   test_make_fx_fake_exhaustive_broadcast_shapes_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s)
2022-11-23T01:28:24.9930505Z   test_make_fx_fake_exhaustive_broadcast_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s)
2022-11-23T01:28:24.9930885Z   test_make_fx_fake_exhaustive_broadcast_to_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s)
2022-11-23T01:28:24.9931261Z   test_make_fx_fake_exhaustive_bucketize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.523s)
2022-11-23T01:28:24.9931611Z   test_make_fx_fake_exhaustive_byte_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2022-11-23T01:28:24.9931976Z   test_make_fx_fake_exhaustive_cartesian_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2022-11-23T01:28:24.9932339Z   test_make_fx_fake_exhaustive_cat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.065s)
2022-11-23T01:28:24.9932693Z   test_make_fx_fake_exhaustive_cdist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.937s)
2022-11-23T01:28:24.9933045Z   test_make_fx_fake_exhaustive_cdouble_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s)
2022-11-23T01:28:24.9933405Z   test_make_fx_fake_exhaustive_ceil_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9933761Z   test_make_fx_fake_exhaustive_cfloat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s)
2022-11-23T01:28:24.9934109Z   test_make_fx_fake_exhaustive_chalf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s)
2022-11-23T01:28:24.9934466Z   test_make_fx_fake_exhaustive_char_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2022-11-23T01:28:24.9934847Z   test_make_fx_fake_exhaustive_cholesky_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.035s)
2022-11-23T01:28:24.9935252Z   test_make_fx_fake_exhaustive_cholesky_inverse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.179s)
2022-11-23T01:28:24.9935632Z   test_make_fx_fake_exhaustive_cholesky_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.305s)
2022-11-23T01:28:24.9936001Z   test_make_fx_fake_exhaustive_chunk_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s)
2022-11-23T01:28:24.9936357Z   test_make_fx_fake_exhaustive_clamp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2022-11-23T01:28:24.9936725Z   test_make_fx_fake_exhaustive_clamp_max_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.074s)
2022-11-23T01:28:24.9937081Z   test_make_fx_fake_exhaustive_clamp_min_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s)
2022-11-23T01:28:24.9937440Z   test_make_fx_fake_exhaustive_clone_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s)
2022-11-23T01:28:24.9937806Z   test_make_fx_fake_exhaustive_column_stack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s)
2022-11-23T01:28:24.9938213Z   test_make_fx_fake_exhaustive_combinations_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.019s)
2022-11-23T01:28:24.9938659Z   test_make_fx_fake_exhaustive_complex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.087s)
2022-11-23T01:28:24.9939017Z   test_make_fx_fake_exhaustive_conj_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s)
2022-11-23T01:28:24.9939384Z   test_make_fx_fake_exhaustive_conj_physical_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.006s)
2022-11-23T01:28:24.9939778Z   test_make_fx_fake_exhaustive_constant_pad_nd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.323s)
2022-11-23T01:28:24.9940153Z   test_make_fx_fake_exhaustive_contiguous_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s)
2022-11-23T01:28:24.9940526Z   test_make_fx_fake_exhaustive_copysign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.099s)
2022-11-23T01:28:24.9940911Z   test_make_fx_fake_exhaustive_corrcoef_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s)
2022-11-23T01:28:24.9941271Z   test_make_fx_fake_exhaustive_cos_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2022-11-23T01:28:24.9941629Z   test_make_fx_fake_exhaustive_cosh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2022-11-23T01:28:24.9942002Z   test_make_fx_fake_exhaustive_count_nonzero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.448s)
2022-11-23T01:28:24.9942384Z   test_make_fx_fake_exhaustive_cov_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.016s)
2022-11-23T01:28:24.9942744Z   test_make_fx_fake_exhaustive_cross_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s)
2022-11-23T01:28:24.9943107Z   test_make_fx_fake_exhaustive_cummax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.060s)
2022-11-23T01:28:24.9943464Z   test_make_fx_fake_exhaustive_cummin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.058s)
2022-11-23T01:28:24.9943809Z   test_make_fx_fake_exhaustive_cumprod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.080s)
2022-11-23T01:28:24.9944168Z   test_make_fx_fake_exhaustive_cumsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.028s)
2022-11-23T01:28:24.9944550Z   test_make_fx_fake_exhaustive_cumulative_trapezoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.163s)
2022-11-23T01:28:24.9945266Z   test_make_fx_fake_exhaustive_deg2rad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9945794Z   test_make_fx_fake_exhaustive_diag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.091s)
2022-11-23T01:28:24.9946165Z   test_make_fx_fake_exhaustive_diag_embed_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.114s)
2022-11-23T01:28:24.9946533Z   test_make_fx_fake_exhaustive_diagflat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s)
2022-11-23T01:28:24.9946904Z   test_make_fx_fake_exhaustive_diagonal_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.086s)
2022-11-23T01:28:24.9947264Z   test_make_fx_fake_exhaustive_diagonal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.083s)
2022-11-23T01:28:24.9947642Z   test_make_fx_fake_exhaustive_diagonal_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.111s)
2022-11-23T01:28:24.9948009Z   test_make_fx_fake_exhaustive_diff_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.274s)
2022-11-23T01:28:24.9948369Z   test_make_fx_fake_exhaustive_digamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2022-11-23T01:28:24.9948714Z   test_make_fx_fake_exhaustive_dist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.398s)
2022-11-23T01:28:24.9949082Z   test_make_fx_fake_exhaustive_div_floor_rounding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.120s)
2022-11-23T01:28:24.9949467Z   test_make_fx_fake_exhaustive_div_no_rounding_mode_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.068s)
2022-11-23T01:28:24.9949853Z   test_make_fx_fake_exhaustive_div_trunc_rounding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.069s)
2022-11-23T01:28:24.9950259Z   test_make_fx_fake_exhaustive_dot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2022-11-23T01:28:24.9950614Z   test_make_fx_fake_exhaustive_double_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2022-11-23T01:28:24.9950971Z   test_make_fx_fake_exhaustive_dsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s)
2022-11-23T01:28:24.9951344Z   test_make_fx_fake_exhaustive_dstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s)
2022-11-23T01:28:24.9951696Z   test_make_fx_fake_exhaustive_einsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.173s)
2022-11-23T01:28:24.9952071Z   test_make_fx_fake_exhaustive_empty_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:24.9952461Z   test_make_fx_fake_exhaustive_empty_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:24.9952819Z   test_make_fx_fake_exhaustive_eq_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.067s)
2022-11-23T01:28:24.9953196Z   test_make_fx_fake_exhaustive_equal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.005s)
2022-11-23T01:28:24.9953568Z   test_make_fx_fake_exhaustive_erf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9953925Z   test_make_fx_fake_exhaustive_erfc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9954273Z   test_make_fx_fake_exhaustive_erfinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9954630Z   test_make_fx_fake_exhaustive_exp2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2022-11-23T01:28:24.9954982Z   test_make_fx_fake_exhaustive_exp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2022-11-23T01:28:24.9955330Z   test_make_fx_fake_exhaustive_expand_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2022-11-23T01:28:24.9955688Z   test_make_fx_fake_exhaustive_expand_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s)
2022-11-23T01:28:24.9956047Z   test_make_fx_fake_exhaustive_expm1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9956399Z   test_make_fx_fake_exhaustive_eye_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.599s)
2022-11-23T01:28:24.9956745Z   test_make_fx_fake_exhaustive_fft_fft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.061s)
2022-11-23T01:28:24.9957215Z   test_make_fx_fake_exhaustive_fft_fft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s)
2022-11-23T01:28:24.9957600Z   test_make_fx_fake_exhaustive_fft_fftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.079s)
2022-11-23T01:28:24.9957968Z   test_make_fx_fake_exhaustive_fft_fftshift_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2022-11-23T01:28:24.9958322Z   test_make_fx_fake_exhaustive_fft_hfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.086s)
2022-11-23T01:28:24.9958687Z   test_make_fx_fake_exhaustive_fft_hfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.083s)
2022-11-23T01:28:24.9959045Z   test_make_fx_fake_exhaustive_fft_hfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.109s)
2022-11-23T01:28:24.9959407Z   test_make_fx_fake_exhaustive_fft_ifft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.085s)
2022-11-23T01:28:24.9959755Z   test_make_fx_fake_exhaustive_fft_ifft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s)
2022-11-23T01:28:24.9960114Z   test_make_fx_fake_exhaustive_fft_ifftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.077s)
2022-11-23T01:28:24.9960479Z   test_make_fx_fake_exhaustive_fft_ifftshift_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2022-11-23T01:28:24.9960833Z   test_make_fx_fake_exhaustive_fft_ihfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.064s)
2022-11-23T01:28:24.9961196Z   test_make_fx_fake_exhaustive_fft_ihfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s)
2022-11-23T01:28:24.9961633Z   test_make_fx_fake_exhaustive_fft_ihfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.073s)
2022-11-23T01:28:24.9961996Z   test_make_fx_fake_exhaustive_fft_irfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.064s)
2022-11-23T01:28:24.9962341Z   test_make_fx_fake_exhaustive_fft_irfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.064s)
2022-11-23T01:28:24.9962738Z   test_make_fx_fake_exhaustive_fft_irfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.089s)
2022-11-23T01:28:24.9963100Z   test_make_fx_fake_exhaustive_fft_rfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s)
2022-11-23T01:28:24.9963457Z   test_make_fx_fake_exhaustive_fft_rfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2022-11-23T01:28:24.9963804Z   test_make_fx_fake_exhaustive_fft_rfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s)
2022-11-23T01:28:24.9964162Z   test_make_fx_fake_exhaustive_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2022-11-23T01:28:24.9964523Z   test_make_fx_fake_exhaustive_flatten_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s)
2022-11-23T01:28:24.9964867Z   test_make_fx_fake_exhaustive_flip_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.059s)
2022-11-23T01:28:24.9965223Z   test_make_fx_fake_exhaustive_fliplr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2022-11-23T01:28:24.9965581Z   test_make_fx_fake_exhaustive_flipud_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2022-11-23T01:28:24.9965935Z   test_make_fx_fake_exhaustive_float_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s)
2022-11-23T01:28:24.9966288Z   test_make_fx_fake_exhaustive_float_power_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.104s)
2022-11-23T01:28:24.9966650Z   test_make_fx_fake_exhaustive_floor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9967015Z   test_make_fx_fake_exhaustive_floor_divide_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.113s)
2022-11-23T01:28:24.9967380Z   test_make_fx_fake_exhaustive_fmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.062s)
2022-11-23T01:28:24.9967727Z   test_make_fx_fake_exhaustive_fmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.064s)
2022-11-23T01:28:24.9968078Z   test_make_fx_fake_exhaustive_fmod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.067s)
2022-11-23T01:28:24.9968432Z   test_make_fx_fake_exhaustive_frac_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2022-11-23T01:28:24.9968785Z   test_make_fx_fake_exhaustive_frexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s)
2022-11-23T01:28:24.9969126Z   test_make_fx_fake_exhaustive_full_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s)
2022-11-23T01:28:24.9969484Z   test_make_fx_fake_exhaustive_full_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.061s)
2022-11-23T01:28:24.9969847Z   test_make_fx_fake_exhaustive_gather_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2022-11-23T01:28:24.9970190Z   test_make_fx_fake_exhaustive_ge_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.060s)
2022-11-23T01:28:24.9970544Z   test_make_fx_fake_exhaustive_geqrf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.188s)
2022-11-23T01:28:24.9970905Z   test_make_fx_fake_exhaustive_gradient_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.720s)
2022-11-23T01:28:24.9971282Z   test_make_fx_fake_exhaustive_grid_sampler_2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (4.754s)
2022-11-23T01:28:24.9971637Z   test_make_fx_fake_exhaustive_gt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.059s)
2022-11-23T01:28:24.9971992Z   test_make_fx_fake_exhaustive_half_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2022-11-23T01:28:24.9972353Z   test_make_fx_fake_exhaustive_heaviside_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s)
2022-11-23T01:28:24.9972754Z   test_make_fx_fake_exhaustive_histc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.185s)
2022-11-23T01:28:24.9973104Z   test_make_fx_fake_exhaustive_histogram_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.151s)
2022-11-23T01:28:24.9973473Z   test_make_fx_fake_exhaustive_histogramdd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (4.171s)
2022-11-23T01:28:24.9973868Z   test_make_fx_fake_exhaustive_hsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s)
2022-11-23T01:28:24.9974217Z   test_make_fx_fake_exhaustive_hstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9974571Z   test_make_fx_fake_exhaustive_hypot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.063s)
2022-11-23T01:28:24.9974925Z   test_make_fx_fake_exhaustive_i0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s)
2022-11-23T01:28:24.9975277Z   test_make_fx_fake_exhaustive_igamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.067s)
2022-11-23T01:28:24.9975626Z   test_make_fx_fake_exhaustive_igammac_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.065s)
2022-11-23T01:28:24.9975994Z   test_make_fx_fake_exhaustive_index_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.081s)
2022-11-23T01:28:24.9976360Z   test_make_fx_fake_exhaustive_index_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.025s)
2022-11-23T01:28:24.9976729Z   test_make_fx_fake_exhaustive_index_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2022-11-23T01:28:24.9977088Z   test_make_fx_fake_exhaustive_index_put_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s)
2022-11-23T01:28:24.9977456Z   test_make_fx_fake_exhaustive_index_reduce_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.275s)
2022-11-23T01:28:24.9977826Z   test_make_fx_fake_exhaustive_index_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s)
2022-11-23T01:28:24.9978175Z   test_make_fx_fake_exhaustive_inner_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s)
2022-11-23T01:28:24.9978528Z   test_make_fx_fake_exhaustive_int_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s)
2022-11-23T01:28:24.9978889Z   test_make_fx_fake_exhaustive_isclose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.411s)
2022-11-23T01:28:24.9979252Z   test_make_fx_fake_exhaustive_isfinite_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s)
2022-11-23T01:28:24.9979600Z   test_make_fx_fake_exhaustive_isin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2022-11-23T01:28:24.9979952Z   test_make_fx_fake_exhaustive_isinf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.010s)
2022-11-23T01:28:24.9980310Z   test_make_fx_fake_exhaustive_isnan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2022-11-23T01:28:24.9980669Z   test_make_fx_fake_exhaustive_isneginf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9981021Z   test_make_fx_fake_exhaustive_isposinf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9981380Z   test_make_fx_fake_exhaustive_isreal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2022-11-23T01:28:24.9981780Z   test_make_fx_fake_exhaustive_jiterator_2inputs_2outputs_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T01:28:24.9982226Z   test_make_fx_fake_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T01:28:24.9982652Z   test_make_fx_fake_exhaustive_jiterator_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T01:28:24.9983087Z   test_make_fx_fake_exhaustive_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T01:28:24.9983520Z   test_make_fx_fake_exhaustive_jiterator_unary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T01:28:24.9983945Z   test_make_fx_fake_exhaustive_kron_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9984294Z   test_make_fx_fake_exhaustive_kthvalue_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.254s)
2022-11-23T01:28:24.9984657Z   test_make_fx_fake_exhaustive_ldexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.081s)
2022-11-23T01:28:24.9985127Z   test_make_fx_fake_exhaustive_le_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.062s)
2022-11-23T01:28:24.9985471Z   test_make_fx_fake_exhaustive_lerp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.148s)
2022-11-23T01:28:24.9985830Z   test_make_fx_fake_exhaustive_lgamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9986203Z   test_make_fx_fake_exhaustive_linalg_cholesky_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.205s)
2022-11-23T01:28:24.9986587Z   test_make_fx_fake_exhaustive_linalg_cholesky_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.120s)
2022-11-23T01:28:24.9986962Z   test_make_fx_fake_exhaustive_linalg_cond_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s)
2022-11-23T01:28:24.9987340Z   test_make_fx_fake_exhaustive_linalg_cross_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s)
2022-11-23T01:28:24.9987718Z   test_make_fx_fake_exhaustive_linalg_det_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.079s)
2022-11-23T01:28:24.9988097Z   test_make_fx_fake_exhaustive_linalg_det_singular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.312s)
2022-11-23T01:28:24.9988464Z   test_make_fx_fake_exhaustive_linalg_eig_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.212s)
2022-11-23T01:28:24.9988838Z   test_make_fx_fake_exhaustive_linalg_eigh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.065s)
2022-11-23T01:28:24.9989214Z   test_make_fx_fake_exhaustive_linalg_eigvals_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.210s)
2022-11-23T01:28:24.9989597Z   test_make_fx_fake_exhaustive_linalg_eigvalsh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.061s)
2022-11-23T01:28:24.9989978Z   test_make_fx_fake_exhaustive_linalg_householder_product_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.189s)
2022-11-23T01:28:24.9990364Z   test_make_fx_fake_exhaustive_linalg_inv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.070s)
2022-11-23T01:28:24.9990734Z   test_make_fx_fake_exhaustive_linalg_inv_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.070s)
2022-11-23T01:28:24.9991116Z   test_make_fx_fake_exhaustive_linalg_ldl_factor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2022-11-23T01:28:24.9991487Z   test_make_fx_fake_exhaustive_linalg_ldl_factor_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s)
2022-11-23T01:28:24.9991870Z   test_make_fx_fake_exhaustive_linalg_ldl_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.122s)
2022-11-23T01:28:24.9992258Z   test_make_fx_fake_exhaustive_linalg_lstsq_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:24.9992664Z   test_make_fx_fake_exhaustive_linalg_lstsq_grad_oriented_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:24.9992842Z   test_make_fx_fake_exhaustive_linalg_lu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.173s)
2022-11-23T01:28:24.9993026Z   test_make_fx_fake_exhaustive_linalg_lu_factor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.149s)
2022-11-23T01:28:24.9993213Z   test_make_fx_fake_exhaustive_linalg_lu_factor_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.124s)
2022-11-23T01:28:24.9993392Z   test_make_fx_fake_exhaustive_linalg_lu_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.844s)
2022-11-23T01:28:24.9993575Z   test_make_fx_fake_exhaustive_linalg_matrix_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.630s)
2022-11-23T01:28:24.9993797Z   test_make_fx_fake_exhaustive_linalg_matrix_power_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.294s)
2022-11-23T01:28:24.9993981Z   test_make_fx_fake_exhaustive_linalg_matrix_rank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.283s)
2022-11-23T01:28:24.9994225Z   test_make_fx_fake_exhaustive_linalg_matrix_rank_hermitian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.156s)
2022-11-23T01:28:24.9994471Z   test_make_fx_fake_exhaustive_linalg_multi_dot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.088s)
2022-11-23T01:28:24.9994639Z   test_make_fx_fake_exhaustive_linalg_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.808s)
2022-11-23T01:28:24.9994839Z   test_make_fx_fake_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.606s)
2022-11-23T01:28:24.9995018Z   test_make_fx_fake_exhaustive_linalg_pinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.248s)
2022-11-23T01:28:24.9995213Z   test_make_fx_fake_exhaustive_linalg_pinv_hermitian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.071s)
2022-11-23T01:28:24.9995465Z   test_make_fx_fake_exhaustive_linalg_pinv_singular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:28:24.9995641Z   test_make_fx_fake_exhaustive_linalg_qr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.293s)
2022-11-23T01:28:24.9995825Z   test_make_fx_fake_exhaustive_linalg_slogdet_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.092s)
2022-11-23T01:28:24.9996003Z   test_make_fx_fake_exhaustive_linalg_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.206s)
2022-11-23T01:28:24.9996183Z   test_make_fx_fake_exhaustive_linalg_solve_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.203s)
2022-11-23T01:28:24.9996360Z   test_make_fx_fake_exhaustive_linalg_solve_triangular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.459s)
2022-11-23T01:28:24.9996539Z   test_make_fx_fake_exhaustive_linalg_svd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.968s)
2022-11-23T01:28:24.9996717Z   test_make_fx_fake_exhaustive_linalg_svdvals_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.273s)
2022-11-23T01:28:24.9996900Z   test_make_fx_fake_exhaustive_linalg_tensorinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s)
2022-11-23T01:28:24.9997088Z   test_make_fx_fake_exhaustive_linalg_tensorsolve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.070s)
2022-11-23T01:28:24.9997364Z   test_make_fx_fake_exhaustive_linalg_vander_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.126s)
2022-11-23T01:28:24.9997545Z   test_make_fx_fake_exhaustive_linalg_vecdot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.359s)
2022-11-23T01:28:24.9997728Z   test_make_fx_fake_exhaustive_linalg_vector_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.668s)
2022-11-23T01:28:24.9997906Z   test_make_fx_fake_exhaustive_linspace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.306s)
2022-11-23T01:28:24.9998065Z   test_make_fx_fake_exhaustive_log10_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9998236Z   test_make_fx_fake_exhaustive_log1p_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:24.9998406Z   test_make_fx_fake_exhaustive_log2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2022-11-23T01:28:24.9998577Z   test_make_fx_fake_exhaustive_log_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:24.9998754Z   test_make_fx_fake_exhaustive_log_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.070s)
2022-11-23T01:28:24.9998942Z   test_make_fx_fake_exhaustive_log_softmax_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.087s)
2022-11-23T01:28:24.9999120Z   test_make_fx_fake_exhaustive_logaddexp2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2022-11-23T01:28:24.9999364Z   test_make_fx_fake_exhaustive_logaddexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2022-11-23T01:28:24.9999544Z   test_make_fx_fake_exhaustive_logcumsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.137s)
2022-11-23T01:28:24.9999705Z   test_make_fx_fake_exhaustive_logdet_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.144s)
2022-11-23T01:28:24.9999917Z   test_make_fx_fake_exhaustive_logical_and_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.066s)
2022-11-23T01:28:25.0000096Z   test_make_fx_fake_exhaustive_logical_not_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2022-11-23T01:28:25.0000274Z   test_make_fx_fake_exhaustive_logical_or_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.065s)
2022-11-23T01:28:25.0000445Z   test_make_fx_fake_exhaustive_logical_xor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.064s)
2022-11-23T01:28:25.0000617Z   test_make_fx_fake_exhaustive_logit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2022-11-23T01:28:25.0000793Z   test_make_fx_fake_exhaustive_logspace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.665s)
2022-11-23T01:28:25.0000969Z   test_make_fx_fake_exhaustive_logsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.215s)
2022-11-23T01:28:25.0001140Z   test_make_fx_fake_exhaustive_long_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2022-11-23T01:28:25.0001299Z   test_make_fx_fake_exhaustive_lt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.061s)
2022-11-23T01:28:25.0001461Z   test_make_fx_fake_exhaustive_lu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.272s)
2022-11-23T01:28:25.0001635Z   test_make_fx_fake_exhaustive_lu_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.228s)
2022-11-23T01:28:25.0001811Z   test_make_fx_fake_exhaustive_lu_unpack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.161s)
2022-11-23T01:28:25.0001972Z   test_make_fx_fake_exhaustive_mH_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s)
2022-11-23T01:28:25.0002132Z   test_make_fx_fake_exhaustive_mT_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2022-11-23T01:28:25.0002311Z   test_make_fx_fake_exhaustive_masked_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.060s)
2022-11-23T01:28:25.0002491Z   test_make_fx_fake_exhaustive_masked_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.038s)
2022-11-23T01:28:25.0002673Z   test_make_fx_fake_exhaustive_masked_argmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.758s)
2022-11-23T01:28:25.0002840Z   test_make_fx_fake_exhaustive_masked_argmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.848s)
2022-11-23T01:28:25.0003020Z   test_make_fx_fake_exhaustive_masked_cumprod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.140s)
2022-11-23T01:28:25.0003199Z   test_make_fx_fake_exhaustive_masked_cumsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.153s)
2022-11-23T01:28:25.0003377Z   test_make_fx_fake_exhaustive_masked_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.066s)
2022-11-23T01:28:25.0003562Z   test_make_fx_fake_exhaustive_masked_log_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.253s)
2022-11-23T01:28:25.0003746Z   test_make_fx_fake_exhaustive_masked_logaddexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.185s)
2022-11-23T01:28:25.0003927Z   test_make_fx_fake_exhaustive_masked_logsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.046s)
2022-11-23T01:28:25.0004103Z   test_make_fx_fake_exhaustive_masked_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.902s)
2022-11-23T01:28:25.0004281Z   test_make_fx_fake_exhaustive_masked_median_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.241s)
2022-11-23T01:28:25.0004457Z   test_make_fx_fake_exhaustive_masked_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.220s)
2022-11-23T01:28:25.0004628Z   test_make_fx_fake_exhaustive_masked_normalize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.412s)
2022-11-23T01:28:25.0004839Z   test_make_fx_fake_exhaustive_masked_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.190s)
2022-11-23T01:28:25.0005018Z   test_make_fx_fake_exhaustive_masked_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2022-11-23T01:28:25.0005274Z   test_make_fx_fake_exhaustive_masked_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.006s)
2022-11-23T01:28:25.0005452Z   test_make_fx_fake_exhaustive_masked_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.260s)
2022-11-23T01:28:25.0005631Z   test_make_fx_fake_exhaustive_masked_softmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.267s)
2022-11-23T01:28:25.0005808Z   test_make_fx_fake_exhaustive_masked_std_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.488s)
2022-11-23T01:28:25.0005982Z   test_make_fx_fake_exhaustive_masked_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.038s)
2022-11-23T01:28:25.0006154Z   test_make_fx_fake_exhaustive_masked_var_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.315s)
2022-11-23T01:28:25.0006313Z   test_make_fx_fake_exhaustive_matmul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.156s)
2022-11-23T01:28:25.0006486Z   test_make_fx_fake_exhaustive_matrix_exp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.059s)
2022-11-23T01:28:25.0006663Z   test_make_fx_fake_exhaustive_max_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.063s)
2022-11-23T01:28:25.0006863Z   test_make_fx_fake_exhaustive_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.303s)
2022-11-23T01:28:25.0007048Z   test_make_fx_fake_exhaustive_max_reduction_no_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2022-11-23T01:28:25.0007238Z   test_make_fx_fake_exhaustive_max_reduction_with_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s)
2022-11-23T01:28:25.0007411Z   test_make_fx_fake_exhaustive_maximum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.079s)
2022-11-23T01:28:25.0007579Z   test_make_fx_fake_exhaustive_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.123s)
2022-11-23T01:28:25.0007755Z   test_make_fx_fake_exhaustive_median_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.315s)
2022-11-23T01:28:25.0007935Z   test_make_fx_fake_exhaustive_meshgrid_list_of_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.129s)
2022-11-23T01:28:25.0008129Z   test_make_fx_fake_exhaustive_meshgrid_variadic_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.128s)
2022-11-23T01:28:25.0008304Z   test_make_fx_fake_exhaustive_min_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.067s)
2022-11-23T01:28:25.0008488Z   test_make_fx_fake_exhaustive_min_reduction_no_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2022-11-23T01:28:25.0008676Z   test_make_fx_fake_exhaustive_min_reduction_with_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2022-11-23T01:28:25.0008848Z   test_make_fx_fake_exhaustive_minimum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.063s)
2022-11-23T01:28:25.0009014Z   test_make_fx_fake_exhaustive_mm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2022-11-23T01:28:25.0009187Z   test_make_fx_fake_exhaustive_mode_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.170s)
2022-11-23T01:28:25.0009360Z   test_make_fx_fake_exhaustive_movedim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s)
2022-11-23T01:28:25.0009517Z   test_make_fx_fake_exhaustive_msort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.068s)
2022-11-23T01:28:25.0009685Z   test_make_fx_fake_exhaustive_mul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.066s)
2022-11-23T01:28:25.0009880Z   test_make_fx_fake_exhaustive_multinomial_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.037s)
2022-11-23T01:28:25.0010078Z   test_make_fx_fake_exhaustive_mv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2022-11-23T01:28:25.0010267Z   test_make_fx_fake_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.091s)
2022-11-23T01:28:25.0010457Z   test_make_fx_fake_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.098s)
2022-11-23T01:28:25.0010676Z   test_make_fx_fake_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.129s)
2022-11-23T01:28:25.0010852Z   test_make_fx_fake_exhaustive_nan_to_num_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2022-11-23T01:28:25.0011025Z   test_make_fx_fake_exhaustive_nanmean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.499s)
2022-11-23T01:28:25.0011201Z   test_make_fx_fake_exhaustive_nanmedian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.086s)
2022-11-23T01:28:25.0011386Z   test_make_fx_fake_exhaustive_nanquantile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.014s)
2022-11-23T01:28:25.0011556Z   test_make_fx_fake_exhaustive_nansum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.195s)
2022-11-23T01:28:25.0011735Z   test_make_fx_fake_exhaustive_narrow_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2022-11-23T01:28:25.0011925Z   test_make_fx_fake_exhaustive_narrow_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.012s)
2022-11-23T01:28:25.0012108Z   test_make_fx_fake_exhaustive_native_batch_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.271s)
2022-11-23T01:28:25.0012299Z   test_make_fx_fake_exhaustive_native_dropout_backward_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.124s)
2022-11-23T01:28:25.0012482Z   test_make_fx_fake_exhaustive_native_layer_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.244s)
2022-11-23T01:28:25.0012648Z   test_make_fx_fake_exhaustive_ne_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.058s)
2022-11-23T01:28:25.0012821Z   test_make_fx_fake_exhaustive_neg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:25.0012999Z   test_make_fx_fake_exhaustive_new_empty_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:25.0013240Z   test_make_fx_fake_exhaustive_new_empty_strided_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2022-11-23T01:28:25.0013418Z   test_make_fx_fake_exhaustive_new_full_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s)
2022-11-23T01:28:25.0013593Z   test_make_fx_fake_exhaustive_new_ones_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s)
2022-11-23T01:28:25.0013765Z   test_make_fx_fake_exhaustive_new_zeros_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s)
2022-11-23T01:28:25.0013941Z   test_make_fx_fake_exhaustive_nextafter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.063s)
2022-11-23T01:28:25.0014156Z   test_make_fx_fake_exhaustive_nn_functional__scaled_dot_product_attention_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.736s)
2022-11-23T01:28:25.0014357Z   test_make_fx_fake_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.053s)
2022-11-23T01:28:25.0014556Z   test_make_fx_fake_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.061s)
2022-11-23T01:28:25.0014737Z   test_make_fx_fake_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.081s)
2022-11-23T01:28:25.0014928Z   test_make_fx_fake_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.093s)
2022-11-23T01:28:25.0015118Z   test_make_fx_fake_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.172s)
2022-11-23T01:28:25.0015353Z   test_make_fx_fake_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.162s)
2022-11-23T01:28:25.0015549Z   test_make_fx_fake_exhaustive_nn_functional_alpha_dropout_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.136s)
2022-11-23T01:28:25.0015742Z   test_make_fx_fake_exhaustive_nn_functional_avg_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.081s)
2022-11-23T01:28:25.0015960Z   test_make_fx_fake_exhaustive_nn_functional_avg_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2022-11-23T01:28:25.0016147Z   test_make_fx_fake_exhaustive_nn_functional_avg_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s)
2022-11-23T01:28:25.0016333Z   test_make_fx_fake_exhaustive_nn_functional_batch_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.318s)
2022-11-23T01:28:25.0016520Z   test_make_fx_fake_exhaustive_nn_functional_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.306s)
2022-11-23T01:28:25.0016710Z   test_make_fx_fake_exhaustive_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.195s)
2022-11-23T01:28:25.0016921Z   test_make_fx_fake_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.510s)
2022-11-23T01:28:25.0017104Z   test_make_fx_fake_exhaustive_nn_functional_celu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.020s)
2022-11-23T01:28:25.0017292Z   test_make_fx_fake_exhaustive_nn_functional_conv1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.124s)
2022-11-23T01:28:25.0017480Z   test_make_fx_fake_exhaustive_nn_functional_conv2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.367s)
2022-11-23T01:28:25.0017677Z   test_make_fx_fake_exhaustive_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.177s)
2022-11-23T01:28:25.0017873Z   test_make_fx_fake_exhaustive_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.163s)
2022-11-23T01:28:25.0018070Z   test_make_fx_fake_exhaustive_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.178s)
2022-11-23T01:28:25.0018274Z   test_make_fx_fake_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.260s)
2022-11-23T01:28:25.0018472Z   test_make_fx_fake_exhaustive_nn_functional_cosine_similarity_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.263s)
2022-11-23T01:28:25.0018652Z   test_make_fx_fake_exhaustive_nn_functional_cross_entropy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.436s)
2022-11-23T01:28:25.0018859Z   test_make_fx_fake_exhaustive_nn_functional_ctc_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Fails with ASAN (0.000s)
2022-11-23T01:28:25.0019920Z   test_make_fx_fake_exhaustive_nn_functional_dropout2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2022-11-23T01:28:25.0020169Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2022-11-23T01:28:25.0020980Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2022-11-23T01:28:25.0021254Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2022-11-23T01:28:25.0022100Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2022-11-23T01:28:25.0022339Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2022-11-23T01:28:25.0023149Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2022-11-23T01:28:25.0023389Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2022-11-23T01:28:25.0024196Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2022-11-23T01:28:25.0024436Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2022-11-23T01:28:25.0025326Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2022-11-23T01:28:25.0025572Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2022-11-23T01:28:25.0025641Z ok (0.106s)
2022-11-23T01:28:25.0025838Z   test_make_fx_fake_exhaustive_nn_functional_dropout3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.123s)
2022-11-23T01:28:25.0026031Z   test_make_fx_fake_exhaustive_nn_functional_dropout_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.132s)
2022-11-23T01:28:25.0026218Z   test_make_fx_fake_exhaustive_nn_functional_elu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s)
2022-11-23T01:28:25.0026416Z   test_make_fx_fake_exhaustive_nn_functional_embedding_bag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.967s)
2022-11-23T01:28:25.0026596Z   test_make_fx_fake_exhaustive_nn_functional_embedding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.085s)
2022-11-23T01:28:25.0026812Z   test_make_fx_fake_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.074s)
2022-11-23T01:28:25.0027030Z   test_make_fx_fake_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2022-11-23T01:28:25.0027234Z   test_make_fx_fake_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.378s)
2022-11-23T01:28:25.0027435Z   test_make_fx_fake_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.722s)
2022-11-23T01:28:25.0027687Z   test_make_fx_fake_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.012s)
2022-11-23T01:28:25.0027873Z   test_make_fx_fake_exhaustive_nn_functional_gelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.084s)
2022-11-23T01:28:25.0028056Z   test_make_fx_fake_exhaustive_nn_functional_glu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.365s)
2022-11-23T01:28:25.0028275Z   test_make_fx_fake_exhaustive_nn_functional_grid_sample_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (5.001s)
2022-11-23T01:28:25.0028468Z   test_make_fx_fake_exhaustive_nn_functional_group_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.321s)
2022-11-23T01:28:25.0028645Z   test_make_fx_fake_exhaustive_nn_functional_hardshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s)
2022-11-23T01:28:25.0028840Z   test_make_fx_fake_exhaustive_nn_functional_hardsigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s)
2022-11-23T01:28:25.0029033Z   test_make_fx_fake_exhaustive_nn_functional_hardswish_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2022-11-23T01:28:25.0029222Z   test_make_fx_fake_exhaustive_nn_functional_hardtanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s)
2022-11-23T01:28:25.0029425Z   test_make_fx_fake_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.248s)
2022-11-23T01:28:25.0029614Z   test_make_fx_fake_exhaustive_nn_functional_huber_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.081s)
2022-11-23T01:28:25.0029808Z   test_make_fx_fake_exhaustive_nn_functional_instance_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.427s)
2022-11-23T01:28:25.0030009Z   test_make_fx_fake_exhaustive_nn_functional_interpolate_area_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.087s)
2022-11-23T01:28:25.0030212Z   test_make_fx_fake_exhaustive_nn_functional_interpolate_bicubic_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.214s)
2022-11-23T01:28:25.0030419Z   test_make_fx_fake_exhaustive_nn_functional_interpolate_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.550s)
2022-11-23T01:28:25.0030608Z   test_make_fx_fake_exhaustive_nn_functional_interpolate_linear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.076s)
2022-11-23T01:28:25.0030812Z   test_make_fx_fake_exhaustive_nn_functional_interpolate_nearest_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.079s)
2022-11-23T01:28:25.0031015Z   test_make_fx_fake_exhaustive_nn_functional_interpolate_trilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.087s)
2022-11-23T01:28:25.0031792Z   test_make_fx_fake_exhaustive_nn_functional_kl_div_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T01:28:25.0032019Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2022-11-23T01:28:25.0032627Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T01:28:25.0032847Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2022-11-23T01:28:25.0033443Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T01:28:25.0033689Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2022-11-23T01:28:25.0034308Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T01:28:25.0034524Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2022-11-23T01:28:25.0034591Z ok (0.221s)
2022-11-23T01:28:25.0034785Z   test_make_fx_fake_exhaustive_nn_functional_l1_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.062s)
2022-11-23T01:28:25.0034966Z   test_make_fx_fake_exhaustive_nn_functional_layer_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s)
2022-11-23T01:28:25.0035162Z   test_make_fx_fake_exhaustive_nn_functional_leaky_relu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.061s)
2022-11-23T01:28:25.0035350Z   test_make_fx_fake_exhaustive_nn_functional_linear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.186s)
2022-11-23T01:28:25.0035553Z   test_make_fx_fake_exhaustive_nn_functional_local_response_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.208s)
2022-11-23T01:28:25.0035747Z   test_make_fx_fake_exhaustive_nn_functional_logsigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s)
2022-11-23T01:28:25.0035945Z   test_make_fx_fake_exhaustive_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.470s)
2022-11-23T01:28:25.0036135Z   test_make_fx_fake_exhaustive_nn_functional_max_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.430s)
2022-11-23T01:28:25.0036321Z   test_make_fx_fake_exhaustive_nn_functional_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.949s)
2022-11-23T01:28:25.0036508Z   test_make_fx_fake_exhaustive_nn_functional_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.618s)
2022-11-23T01:28:25.0036717Z   test_make_fx_fake_exhaustive_nn_functional_max_unpool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.001s)
2022-11-23T01:28:25.0036906Z   test_make_fx_fake_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.531s)
2022-11-23T01:28:25.0037237Z   test_make_fx_fake_exhaustive_nn_functional_max_unpool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:25.0037465Z   test_make_fx_fake_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.795s)
2022-11-23T01:28:25.0037671Z   test_make_fx_fake_exhaustive_nn_functional_max_unpool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:25.0037873Z   test_make_fx_fake_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.428s)
2022-11-23T01:28:25.0038056Z   test_make_fx_fake_exhaustive_nn_functional_mish_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.025s)
2022-11-23T01:28:25.0038240Z   test_make_fx_fake_exhaustive_nn_functional_mse_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.085s)
2022-11-23T01:28:25.0038438Z   test_make_fx_fake_exhaustive_nn_functional_multi_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.124s)
2022-11-23T01:28:25.0038640Z   test_make_fx_fake_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.077s)
2022-11-23T01:28:25.0038846Z   test_make_fx_fake_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.152s)
2022-11-23T01:28:25.0039035Z   test_make_fx_fake_exhaustive_nn_functional_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:25.0039318Z   test_make_fx_fake_exhaustive_nn_functional_normalize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.112s)
2022-11-23T01:28:25.0039510Z   test_make_fx_fake_exhaustive_nn_functional_pad_circular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.186s)
2022-11-23T01:28:25.0039705Z   test_make_fx_fake_exhaustive_nn_functional_pad_constant_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.363s)
2022-11-23T01:28:25.0039932Z   test_make_fx_fake_exhaustive_nn_functional_pad_reflect_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s)
2022-11-23T01:28:25.0040130Z   test_make_fx_fake_exhaustive_nn_functional_pad_replicate_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.089s)
2022-11-23T01:28:25.0040328Z   test_make_fx_fake_exhaustive_nn_functional_pairwise_distance_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.083s)
2022-11-23T01:28:25.0040514Z   test_make_fx_fake_exhaustive_nn_functional_pdist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.204s)
2022-11-23T01:28:25.0040705Z   test_make_fx_fake_exhaustive_nn_functional_pixel_shuffle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s)
2022-11-23T01:28:25.0040901Z   test_make_fx_fake_exhaustive_nn_functional_pixel_unshuffle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2022-11-23T01:28:25.0041087Z   test_make_fx_fake_exhaustive_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.465s)
2022-11-23T01:28:25.0041273Z   test_make_fx_fake_exhaustive_nn_functional_prelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.183s)
2022-11-23T01:28:25.0041457Z   test_make_fx_fake_exhaustive_nn_functional_relu6_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s)
2022-11-23T01:28:25.0041640Z   test_make_fx_fake_exhaustive_nn_functional_relu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s)
2022-11-23T01:28:25.0041822Z   test_make_fx_fake_exhaustive_nn_functional_rrelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.081s)
2022-11-23T01:28:25.0042009Z   test_make_fx_fake_exhaustive_nn_functional_selu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.025s)
2022-11-23T01:28:25.0042187Z   test_make_fx_fake_exhaustive_nn_functional_silu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.025s)
2022-11-23T01:28:25.0042381Z   test_make_fx_fake_exhaustive_nn_functional_smooth_l1_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.058s)
2022-11-23T01:28:25.0042574Z   test_make_fx_fake_exhaustive_nn_functional_soft_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.069s)
2022-11-23T01:28:25.0042761Z   test_make_fx_fake_exhaustive_nn_functional_softmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.082s)
2022-11-23T01:28:25.0042946Z   test_make_fx_fake_exhaustive_nn_functional_softmin_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.130s)
2022-11-23T01:28:25.0043134Z   test_make_fx_fake_exhaustive_nn_functional_softplus_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s)
2022-11-23T01:28:25.0043325Z   test_make_fx_fake_exhaustive_nn_functional_softshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.066s)
2022-11-23T01:28:25.0043512Z   test_make_fx_fake_exhaustive_nn_functional_softsign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s)
2022-11-23T01:28:25.0043703Z   test_make_fx_fake_exhaustive_nn_functional_tanhshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s)
2022-11-23T01:28:25.0043891Z   test_make_fx_fake_exhaustive_nn_functional_threshold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2022-11-23T01:28:25.0044091Z   test_make_fx_fake_exhaustive_nn_functional_triplet_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.206s)
2022-11-23T01:28:25.0044306Z   test_make_fx_fake_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.193s)
2022-11-23T01:28:25.0044524Z   test_make_fx_fake_exhaustive_nn_functional_unfold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.140s)
2022-11-23T01:28:25.0045096Z   test_make_fx_fake_exhaustive_nn_functional_upsample_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4074: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:28:25.0045308Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:28:25.0045682Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4074: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:28:25.0045875Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:28:25.0046237Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4074: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:28:25.0046427Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:28:25.0046786Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4074: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:28:25.0046978Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:28:25.0047046Z ok (0.184s)
2022-11-23T01:28:25.0047602Z   test_make_fx_fake_exhaustive_nn_functional_upsample_nearest_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:28:25.0047794Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:28:25.0048145Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:28:25.0048337Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:28:25.0048693Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:28:25.0048885Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:28:25.0049247Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:28:25.0049438Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:28:25.0049802Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:28:25.0049995Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:28:25.0050362Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:28:25.0050552Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:28:25.0050908Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:28:25.0051086Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:28:25.0051451Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:28:25.0051675Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:28:25.0052033Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:28:25.0052253Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:28:25.0052615Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:28:25.0052804Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:28:25.0053162Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:28:25.0053353Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:28:25.0053712Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:28:25.0053891Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:28:25.0053958Z ok (0.088s)
2022-11-23T01:28:25.0054180Z   test_make_fx_fake_exhaustive_nonzero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.006s)
2022-11-23T01:28:25.0054351Z   test_make_fx_fake_exhaustive_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.349s)
2022-11-23T01:28:25.0054526Z   test_make_fx_fake_exhaustive_norm_fro_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s)
2022-11-23T01:28:25.0054701Z   test_make_fx_fake_exhaustive_norm_inf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2022-11-23T01:28:25.0054869Z   test_make_fx_fake_exhaustive_norm_nuc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s)
2022-11-23T01:28:25.0055041Z   test_make_fx_fake_exhaustive_normal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s)
2022-11-23T01:28:25.0055228Z   test_make_fx_fake_exhaustive_normal_number_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s)
2022-11-23T01:28:25.0055384Z   test_make_fx_fake_exhaustive_ones_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2022-11-23T01:28:25.0055559Z   test_make_fx_fake_exhaustive_ones_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s)
2022-11-23T01:28:25.0055729Z   test_make_fx_fake_exhaustive_ormqr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.547s)
2022-11-23T01:28:25.0055898Z   test_make_fx_fake_exhaustive_outer_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2022-11-23T01:28:25.0056080Z   test_make_fx_fake_exhaustive_pca_lowrank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (8.288s)
2022-11-23T01:28:25.0056254Z   test_make_fx_fake_exhaustive_permute_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.272s)
2022-11-23T01:28:25.0056428Z   test_make_fx_fake_exhaustive_pinverse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.099s)
2022-11-23T01:28:25.0056601Z   test_make_fx_fake_exhaustive_polar_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.222s)
2022-11-23T01:28:25.0056792Z   test_make_fx_fake_exhaustive_polygamma_polygamma_n_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s)
2022-11-23T01:28:25.0056971Z   test_make_fx_fake_exhaustive_polygamma_polygamma_n_1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s)
2022-11-23T01:28:25.0057157Z   test_make_fx_fake_exhaustive_polygamma_polygamma_n_2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.076s)
2022-11-23T01:28:25.0057385Z   test_make_fx_fake_exhaustive_polygamma_polygamma_n_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s)
2022-11-23T01:28:25.0057567Z   test_make_fx_fake_exhaustive_polygamma_polygamma_n_4_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.073s)
2022-11-23T01:28:25.0057743Z   test_make_fx_fake_exhaustive_positive_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s)
2022-11-23T01:28:25.0057939Z   test_make_fx_fake_exhaustive_pow_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.063s)
2022-11-23T01:28:25.0058112Z   test_make_fx_fake_exhaustive_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.226s)
2022-11-23T01:28:25.0058280Z   test_make_fx_fake_exhaustive_put_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.206s)
2022-11-23T01:28:25.0058447Z   test_make_fx_fake_exhaustive_qr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.317s)
2022-11-23T01:28:25.0058627Z   test_make_fx_fake_exhaustive_quantile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.015s)
2022-11-23T01:28:25.0058803Z   test_make_fx_fake_exhaustive_rad2deg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2022-11-23T01:28:25.0058978Z   test_make_fx_fake_exhaustive_rand_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s)
2022-11-23T01:28:25.0059145Z   test_make_fx_fake_exhaustive_randint_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.109s)
2022-11-23T01:28:25.0059328Z   test_make_fx_fake_exhaustive_randint_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.144s)
2022-11-23T01:28:25.0059501Z   test_make_fx_fake_exhaustive_randn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s)
2022-11-23T01:28:25.0059675Z   test_make_fx_fake_exhaustive_randn_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.068s)
2022-11-23T01:28:25.0059844Z   test_make_fx_fake_exhaustive_ravel_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2022-11-23T01:28:25.0060019Z   test_make_fx_fake_exhaustive_real_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:25.0060181Z   test_make_fx_fake_exhaustive_reciprocal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s)
2022-11-23T01:28:25.0060356Z   test_make_fx_fake_exhaustive_remainder_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s)
2022-11-23T01:28:25.0060530Z   test_make_fx_fake_exhaustive_renorm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2022-11-23T01:28:25.0060705Z   test_make_fx_fake_exhaustive_repeat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.276s)
2022-11-23T01:28:25.0060937Z   test_make_fx_fake_exhaustive_repeat_interleave_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.018s)
2022-11-23T01:28:25.0061113Z   test_make_fx_fake_exhaustive_reshape_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s)
2022-11-23T01:28:25.0061286Z   test_make_fx_fake_exhaustive_reshape_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.054s)
2022-11-23T01:28:25.0061460Z   test_make_fx_fake_exhaustive_resize__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.034s)
2022-11-23T01:28:25.0061633Z   test_make_fx_fake_exhaustive_resize_as__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.034s)
2022-11-23T01:28:25.0061799Z   test_make_fx_fake_exhaustive_resolve_conj_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s)
2022-11-23T01:28:25.0061976Z   test_make_fx_fake_exhaustive_resolve_neg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2022-11-23T01:28:25.0062145Z   test_make_fx_fake_exhaustive_roll_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.098s)
2022-11-23T01:28:25.0062316Z   test_make_fx_fake_exhaustive_rot90_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.228s)
2022-11-23T01:28:25.0062485Z   test_make_fx_fake_exhaustive_round_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s)
2022-11-23T01:28:25.0062702Z   test_make_fx_fake_exhaustive_round_decimals_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2022-11-23T01:28:25.0062882Z   test_make_fx_fake_exhaustive_round_decimals_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2022-11-23T01:28:25.0063069Z   test_make_fx_fake_exhaustive_round_decimals_neg_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2022-11-23T01:28:25.0063268Z   test_make_fx_fake_exhaustive_rsqrt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:25.0063440Z   test_make_fx_fake_exhaustive_rsub_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.076s)
2022-11-23T01:28:25.0063607Z   test_make_fx_fake_exhaustive_scalar_tensor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:25.0063785Z   test_make_fx_fake_exhaustive_scatter_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.083s)
2022-11-23T01:28:25.0063957Z   test_make_fx_fake_exhaustive_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.196s)
2022-11-23T01:28:25.0064146Z   test_make_fx_fake_exhaustive_scatter_reduce_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.245s)
2022-11-23T01:28:25.0064334Z   test_make_fx_fake_exhaustive_scatter_reduce_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.232s)
2022-11-23T01:28:25.0064521Z   test_make_fx_fake_exhaustive_scatter_reduce_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.205s)
2022-11-23T01:28:25.0064710Z   test_make_fx_fake_exhaustive_scatter_reduce_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.237s)
2022-11-23T01:28:25.0064975Z   test_make_fx_fake_exhaustive_scatter_reduce_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.176s)
2022-11-23T01:28:25.0065162Z   test_make_fx_fake_exhaustive_searchsorted_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.815s)
2022-11-23T01:28:25.0065358Z   test_make_fx_fake_exhaustive_segment_reduce_lengths_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.038s)
2022-11-23T01:28:25.0065551Z   test_make_fx_fake_exhaustive_segment_reduce_offsets_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.313s)
2022-11-23T01:28:25.0065724Z   test_make_fx_fake_exhaustive_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s)
2022-11-23T01:28:25.0065905Z   test_make_fx_fake_exhaustive_select_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.034s)
2022-11-23T01:28:25.0066076Z   test_make_fx_fake_exhaustive_sgn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:25.0066246Z   test_make_fx_fake_exhaustive_short_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2022-11-23T01:28:25.0066421Z   test_make_fx_fake_exhaustive_sigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.020s)
2022-11-23T01:28:25.0066589Z   test_make_fx_fake_exhaustive_sign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:25.0066779Z   test_make_fx_fake_exhaustive_signal_windows_cosine_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.102s)
2022-11-23T01:28:25.0066963Z   test_make_fx_fake_exhaustive_signal_windows_exponential_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.128s)
2022-11-23T01:28:25.0067153Z   test_make_fx_fake_exhaustive_signal_windows_gaussian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.151s)
2022-11-23T01:28:25.0067340Z   test_make_fx_fake_exhaustive_signal_windows_kaiser_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.181s)
2022-11-23T01:28:25.0067512Z   test_make_fx_fake_exhaustive_signbit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:25.0067678Z   test_make_fx_fake_exhaustive_sin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2022-11-23T01:28:25.0067846Z   test_make_fx_fake_exhaustive_sinc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s)
2022-11-23T01:28:25.0068008Z   test_make_fx_fake_exhaustive_sinh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:25.0068211Z   test_make_fx_fake_exhaustive_slice_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s)
2022-11-23T01:28:25.0068392Z   test_make_fx_fake_exhaustive_slice_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.111s)
2022-11-23T01:28:25.0068550Z   test_make_fx_fake_exhaustive_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.068s)
2022-11-23T01:28:25.0068762Z   test_make_fx_fake_exhaustive_softmax_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.157s)
2022-11-23T01:28:25.0068931Z   test_make_fx_fake_exhaustive_sort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.591s)
2022-11-23T01:28:25.0069136Z   test_make_fx_fake_exhaustive_sparse_sampled_addmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.002s)
2022-11-23T01:28:25.0069317Z   test_make_fx_fake_exhaustive_special_airy_ai_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2022-11-23T01:28:25.0069502Z   test_make_fx_fake_exhaustive_special_bessel_j0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:25.0069720Z   test_make_fx_fake_exhaustive_special_bessel_j1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:25.0069948Z   test_make_fx_fake_exhaustive_special_bessel_y0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2022-11-23T01:28:25.0070126Z   test_make_fx_fake_exhaustive_special_bessel_y1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2022-11-23T01:28:25.0070312Z   test_make_fx_fake_exhaustive_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.060s)
2022-11-23T01:28:25.0070515Z   test_make_fx_fake_exhaustive_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.062s)
2022-11-23T01:28:25.0071039Z   test_make_fx_fake_exhaustive_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:28:25.0071508Z   test_make_fx_fake_exhaustive_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:28:25.0071698Z   test_make_fx_fake_exhaustive_special_entr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:25.0071905Z   test_make_fx_fake_exhaustive_special_erfcx_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2022-11-23T01:28:25.0072112Z   test_make_fx_fake_exhaustive_special_hermite_polynomial_h_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.059s)
2022-11-23T01:28:25.0072313Z   test_make_fx_fake_exhaustive_special_hermite_polynomial_he_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.061s)
2022-11-23T01:28:25.0072492Z   test_make_fx_fake_exhaustive_special_i0e_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2022-11-23T01:28:25.0072668Z   test_make_fx_fake_exhaustive_special_i1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2022-11-23T01:28:25.0072847Z   test_make_fx_fake_exhaustive_special_i1e_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s)
2022-11-23T01:28:25.0073044Z   test_make_fx_fake_exhaustive_special_laguerre_polynomial_l_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.062s)
2022-11-23T01:28:25.0073438Z   test_make_fx_fake_exhaustive_special_legendre_polynomial_p_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:28:25.0073611Z   test_make_fx_fake_exhaustive_special_log_ndtr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s)
2022-11-23T01:28:25.0073803Z   test_make_fx_fake_exhaustive_special_modified_bessel_i0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2022-11-23T01:28:25.0073995Z   test_make_fx_fake_exhaustive_special_modified_bessel_i1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2022-11-23T01:28:25.0074217Z   test_make_fx_fake_exhaustive_special_modified_bessel_k0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2022-11-23T01:28:25.0074404Z   test_make_fx_fake_exhaustive_special_modified_bessel_k1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2022-11-23T01:28:25.0074585Z   test_make_fx_fake_exhaustive_special_ndtr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.034s)
2022-11-23T01:28:25.0074796Z   test_make_fx_fake_exhaustive_special_ndtri_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2022-11-23T01:28:25.0075008Z   test_make_fx_fake_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.066s)
2022-11-23T01:28:25.0075209Z   test_make_fx_fake_exhaustive_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s)
2022-11-23T01:28:25.0075404Z   test_make_fx_fake_exhaustive_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2022-11-23T01:28:25.0075797Z   test_make_fx_fake_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:28:25.0076194Z   test_make_fx_fake_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:28:25.0076599Z   test_make_fx_fake_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:28:25.0076994Z   test_make_fx_fake_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:28:25.0077327Z   test_make_fx_fake_exhaustive_special_spherical_bessel_j0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s)
2022-11-23T01:28:25.0077545Z   test_make_fx_fake_exhaustive_special_xlog1py_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.078s)
2022-11-23T01:28:25.0077724Z   test_make_fx_fake_exhaustive_special_zeta_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.064s)
2022-11-23T01:28:25.0077898Z   test_make_fx_fake_exhaustive_split_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s)
2022-11-23T01:28:25.0078079Z   test_make_fx_fake_exhaustive_split_list_args_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2022-11-23T01:28:25.0078262Z   test_make_fx_fake_exhaustive_split_with_sizes_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.050s)
2022-11-23T01:28:25.0078435Z   test_make_fx_fake_exhaustive_sqrt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:25.0078595Z   test_make_fx_fake_exhaustive_square_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.020s)
2022-11-23T01:28:25.0078772Z   test_make_fx_fake_exhaustive_squeeze_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2022-11-23T01:28:25.0078945Z   test_make_fx_fake_exhaustive_stack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.065s)
2022-11-23T01:28:25.0079112Z   test_make_fx_fake_exhaustive_std_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.074s)
2022-11-23T01:28:25.0079292Z   test_make_fx_fake_exhaustive_std_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.083s)
2022-11-23T01:28:25.0079459Z   test_make_fx_fake_exhaustive_stft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.142s)
2022-11-23T01:28:25.0079625Z   test_make_fx_fake_exhaustive_sub_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.078s)
2022-11-23T01:28:25.0079794Z   test_make_fx_fake_exhaustive_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.117s)
2022-11-23T01:28:25.0079969Z   test_make_fx_fake_exhaustive_sum_to_size_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.089s)
2022-11-23T01:28:25.0080179Z   test_make_fx_fake_exhaustive_svd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.053s)
2022-11-23T01:28:25.0080362Z   test_make_fx_fake_exhaustive_svd_lowrank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (10.933s)
2022-11-23T01:28:25.0080534Z   test_make_fx_fake_exhaustive_symeig_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.210s)
2022-11-23T01:28:25.0080736Z   test_make_fx_fake_exhaustive_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s)
2022-11-23T01:28:25.0080918Z   test_make_fx_fake_exhaustive_take_along_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.053s)
2022-11-23T01:28:25.0081089Z   test_make_fx_fake_exhaustive_take_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.234s)
2022-11-23T01:28:25.0081258Z   test_make_fx_fake_exhaustive_tan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s)
2022-11-23T01:28:25.0081428Z   test_make_fx_fake_exhaustive_tanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s)
2022-11-23T01:28:25.0081628Z   test_make_fx_fake_exhaustive_tensor_split_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.015s)
2022-11-23T01:28:25.0081793Z   test_make_fx_fake_exhaustive_tensordot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s)
2022-11-23T01:28:25.0081961Z   test_make_fx_fake_exhaustive_tile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.338s)
2022-11-23T01:28:25.0082130Z   test_make_fx_fake_exhaustive_to_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.322s)
2022-11-23T01:28:25.0082322Z   test_make_fx_fake_exhaustive_to_sparse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.001s)
2022-11-23T01:28:25.0082489Z   test_make_fx_fake_exhaustive_topk_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.163s)
2022-11-23T01:28:25.0082658Z   test_make_fx_fake_exhaustive_trace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s)
2022-11-23T01:28:25.0082836Z   test_make_fx_fake_exhaustive_transpose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.050s)
2022-11-23T01:28:25.0083014Z   test_make_fx_fake_exhaustive_trapezoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.167s)
2022-11-23T01:28:25.0083183Z   test_make_fx_fake_exhaustive_trapz_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.188s)
2022-11-23T01:28:25.0083356Z   test_make_fx_fake_exhaustive_triangular_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.114s)
2022-11-23T01:28:25.0083524Z   test_make_fx_fake_exhaustive_tril_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s)
2022-11-23T01:28:25.0083691Z   test_make_fx_fake_exhaustive_triu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s)
2022-11-23T01:28:25.0083872Z   test_make_fx_fake_exhaustive_true_divide_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.067s)
2022-11-23T01:28:25.0084044Z   test_make_fx_fake_exhaustive_trunc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:25.0084226Z   test_make_fx_fake_exhaustive_unbind_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.067s)
2022-11-23T01:28:25.0084402Z   test_make_fx_fake_exhaustive_unflatten_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.059s)
2022-11-23T01:28:25.0084580Z   test_make_fx_fake_exhaustive_unfold_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.137s)
2022-11-23T01:28:25.0084757Z   test_make_fx_fake_exhaustive_unfold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.135s)
2022-11-23T01:28:25.0084920Z   test_make_fx_fake_exhaustive_uniform_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.020s)
2022-11-23T01:28:25.0085154Z   test_make_fx_fake_exhaustive_unique_consecutive_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.005s)
2022-11-23T01:28:25.0085376Z   test_make_fx_fake_exhaustive_unique_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.006s)
2022-11-23T01:28:25.0085588Z   test_make_fx_fake_exhaustive_unsqueeze_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.055s)
2022-11-23T01:28:25.0085760Z   test_make_fx_fake_exhaustive_var_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.064s)
2022-11-23T01:28:25.0085933Z   test_make_fx_fake_exhaustive_var_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.082s)
2022-11-23T01:28:25.0086163Z   test_make_fx_fake_exhaustive_vdot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s)
2022-11-23T01:28:25.0086346Z   test_make_fx_fake_exhaustive_view_as_complex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s)
2022-11-23T01:28:25.0086519Z   test_make_fx_fake_exhaustive_view_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.028s)
2022-11-23T01:28:25.0086679Z   test_make_fx_fake_exhaustive_view_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.043s)
2022-11-23T01:28:25.0086847Z   test_make_fx_fake_exhaustive_view_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.043s)
2022-11-23T01:28:25.0087020Z   test_make_fx_fake_exhaustive_vsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s)
2022-11-23T01:28:25.0087191Z   test_make_fx_fake_exhaustive_vstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s)
2022-11-23T01:28:25.0087360Z   test_make_fx_fake_exhaustive_where_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.054s)
2022-11-23T01:28:25.0087531Z   test_make_fx_fake_exhaustive_xlogy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.080s)
2022-11-23T01:28:25.0087697Z   test_make_fx_fake_exhaustive_zero__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.020s)
2022-11-23T01:28:25.0087864Z   test_make_fx_fake_exhaustive_zeros_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s)
2022-11-23T01:28:25.0088039Z   test_make_fx_fake_exhaustive_zeros_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.074s)
2022-11-23T01:28:25.0088194Z   test_make_fx_symbolic_exhaustive_H_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.103s)
2022-11-23T01:28:25.0088366Z   test_make_fx_symbolic_exhaustive_T_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.085s)
2022-11-23T01:28:25.0088593Z   test_make_fx_symbolic_exhaustive___getitem___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (1.199s)
2022-11-23T01:28:25.0088773Z   test_make_fx_symbolic_exhaustive___radd___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.506s)
2022-11-23T01:28:25.0088955Z   test_make_fx_symbolic_exhaustive___rdiv___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.724s)
2022-11-23T01:28:25.0089140Z   test_make_fx_symbolic_exhaustive___rmatmul___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.720s)
2022-11-23T01:28:25.0089316Z   test_make_fx_symbolic_exhaustive___rmod___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.514s)
2022-11-23T01:28:25.0089493Z   test_make_fx_symbolic_exhaustive___rmul___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.493s)
2022-11-23T01:28:25.0090168Z   test_make_fx_symbolic_exhaustive___rpow___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:28:25.0090314Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2022-11-23T01:28:25.0090804Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:28:25.0090941Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2022-11-23T01:28:25.0091434Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:28:25.0091611Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2022-11-23T01:28:25.0092134Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:28:25.0092270Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2022-11-23T01:28:25.0092757Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:28:25.0092889Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2022-11-23T01:28:25.0093380Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:28:25.0093515Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2022-11-23T01:28:25.0094009Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:28:25.0094148Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2022-11-23T01:28:25.0094631Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:28:25.0094769Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2022-11-23T01:28:25.0095253Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:28:25.0095392Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2022-11-23T01:28:25.0095458Z ok (0.920s)
2022-11-23T01:28:25.0095639Z   test_make_fx_symbolic_exhaustive___rsub___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.466s)
2022-11-23T01:28:25.0095838Z   test_make_fx_symbolic_exhaustive__softmax_backward_data_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.236s)
2022-11-23T01:28:25.0096016Z   test_make_fx_symbolic_exhaustive_abs_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2022-11-23T01:28:25.0096198Z   test_make_fx_symbolic_exhaustive_acos_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.051s)
2022-11-23T01:28:25.0096379Z   test_make_fx_symbolic_exhaustive_acosh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.051s)
2022-11-23T01:28:25.0096542Z   test_make_fx_symbolic_exhaustive_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.659s)
2022-11-23T01:28:25.0096722Z   test_make_fx_symbolic_exhaustive_addbmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.457s)
2022-11-23T01:28:25.0096906Z   test_make_fx_symbolic_exhaustive_addcdiv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.814s)
2022-11-23T01:28:25.0097086Z   test_make_fx_symbolic_exhaustive_addcmul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.833s)
2022-11-23T01:28:25.0118646Z   test_make_fx_symbolic_exhaustive_addmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.240s)
2022-11-23T01:28:25.0118947Z   test_make_fx_symbolic_exhaustive_addmm_decomposed_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.266s)
2022-11-23T01:28:25.0119332Z   test_make_fx_symbolic_exhaustive_addmv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.067s)
2022-11-23T01:28:25.0119527Z   test_make_fx_symbolic_exhaustive_addr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.366s)
2022-11-23T01:28:25.0119705Z   test_make_fx_symbolic_exhaustive_all_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.690s)
2022-11-23T01:28:25.0119949Z   test_make_fx_symbolic_exhaustive_allclose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.010s)
2022-11-23T01:28:25.0120129Z   test_make_fx_symbolic_exhaustive_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.663s)
2022-11-23T01:28:25.0120293Z   test_make_fx_symbolic_exhaustive_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.667s)
2022-11-23T01:28:25.0120490Z   test_make_fx_symbolic_exhaustive_aminmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.039s)
2022-11-23T01:28:25.0120670Z   test_make_fx_symbolic_exhaustive_angle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.044s)
2022-11-23T01:28:25.0120843Z   test_make_fx_symbolic_exhaustive_any_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.761s)
2022-11-23T01:28:25.0121024Z   test_make_fx_symbolic_exhaustive_arange_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.205s)
2022-11-23T01:28:25.0121205Z   test_make_fx_symbolic_exhaustive_argmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.360s)
2022-11-23T01:28:25.0121382Z   test_make_fx_symbolic_exhaustive_argmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.390s)
2022-11-23T01:28:25.0121559Z   test_make_fx_symbolic_exhaustive_argsort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.564s)
2022-11-23T01:28:25.0121788Z   test_make_fx_symbolic_exhaustive_argwhere_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.016s)
2022-11-23T01:28:25.0121959Z   test_make_fx_symbolic_exhaustive_as_strided_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.138s)
2022-11-23T01:28:25.0122151Z   test_make_fx_symbolic_exhaustive_as_strided_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.314s)
2022-11-23T01:28:25.0122326Z   test_make_fx_symbolic_exhaustive_asin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s)
2022-11-23T01:28:25.0122505Z   test_make_fx_symbolic_exhaustive_asinh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s)
2022-11-23T01:28:25.0122683Z   test_make_fx_symbolic_exhaustive_atan2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.491s)
2022-11-23T01:28:25.0122858Z   test_make_fx_symbolic_exhaustive_atan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.052s)
2022-11-23T01:28:25.0123034Z   test_make_fx_symbolic_exhaustive_atanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.058s)
2022-11-23T01:28:25.0123215Z   test_make_fx_symbolic_exhaustive_atleast_1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.240s)
2022-11-23T01:28:25.0123398Z   test_make_fx_symbolic_exhaustive_atleast_2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.235s)
2022-11-23T01:28:25.0123562Z   test_make_fx_symbolic_exhaustive_atleast_3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.277s)
2022-11-23T01:28:25.0123760Z   test_make_fx_symbolic_exhaustive_baddbmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.091s)
2022-11-23T01:28:25.0123942Z   test_make_fx_symbolic_exhaustive_bernoulli_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.105s)
2022-11-23T01:28:25.0124121Z   test_make_fx_symbolic_exhaustive_bfloat16_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.249s)
2022-11-23T01:28:25.0124317Z   test_make_fx_symbolic_exhaustive_block_diag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:25.0124491Z   test_make_fx_symbolic_exhaustive_bmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s)
2022-11-23T01:28:25.0124695Z   test_make_fx_symbolic_exhaustive_bool_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.259s)
2022-11-23T01:28:25.0124886Z   test_make_fx_symbolic_exhaustive_broadcast_shapes_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2022-11-23T01:28:25.0125078Z   test_make_fx_symbolic_exhaustive_broadcast_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.128s)
2022-11-23T01:28:25.0125285Z   test_make_fx_symbolic_exhaustive_broadcast_to_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.147s)
2022-11-23T01:28:25.0125486Z   test_make_fx_symbolic_exhaustive_bucketize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.031s)
2022-11-23T01:28:25.0125660Z   test_make_fx_symbolic_exhaustive_byte_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.185s)
2022-11-23T01:28:25.0125865Z   test_make_fx_symbolic_exhaustive_cartesian_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.046s)
2022-11-23T01:28:25.0126043Z   test_make_fx_symbolic_exhaustive_cat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.462s)
2022-11-23T01:28:25.0126235Z   test_make_fx_symbolic_exhaustive_cdist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.072s)
2022-11-23T01:28:25.0126414Z   test_make_fx_symbolic_exhaustive_cdouble_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.200s)
2022-11-23T01:28:25.0126590Z   test_make_fx_symbolic_exhaustive_ceil_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.034s)
2022-11-23T01:28:25.0126768Z   test_make_fx_symbolic_exhaustive_cfloat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.197s)
2022-11-23T01:28:25.0126944Z   test_make_fx_symbolic_exhaustive_chalf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.190s)
2022-11-23T01:28:25.0127103Z   test_make_fx_symbolic_exhaustive_char_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.209s)
2022-11-23T01:28:25.0127299Z   test_make_fx_symbolic_exhaustive_cholesky_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.024s)
2022-11-23T01:28:25.0127505Z   test_make_fx_symbolic_exhaustive_cholesky_inverse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.013s)
2022-11-23T01:28:25.0127708Z   test_make_fx_symbolic_exhaustive_cholesky_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.028s)
2022-11-23T01:28:25.0127885Z   test_make_fx_symbolic_exhaustive_chunk_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.358s)
2022-11-23T01:28:25.0128062Z   test_make_fx_symbolic_exhaustive_clamp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.840s)
2022-11-23T01:28:25.0128244Z   test_make_fx_symbolic_exhaustive_clamp_max_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.849s)
2022-11-23T01:28:25.0128424Z   test_make_fx_symbolic_exhaustive_clamp_min_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.785s)
2022-11-23T01:28:25.0128599Z   test_make_fx_symbolic_exhaustive_clone_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.059s)
2022-11-23T01:28:25.0128788Z   test_make_fx_symbolic_exhaustive_column_stack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.154s)
2022-11-23T01:28:25.0128990Z   test_make_fx_symbolic_exhaustive_combinations_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.024s)
2022-11-23T01:28:25.0129168Z   test_make_fx_symbolic_exhaustive_complex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.466s)
2022-11-23T01:28:25.0129345Z   test_make_fx_symbolic_exhaustive_conj_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.034s)
2022-11-23T01:28:25.0129530Z   test_make_fx_symbolic_exhaustive_conj_physical_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s)
2022-11-23T01:28:25.0129720Z   test_make_fx_symbolic_exhaustive_constant_pad_nd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (6.171s)
2022-11-23T01:28:25.0129902Z   test_make_fx_symbolic_exhaustive_contiguous_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s)
2022-11-23T01:28:25.0130110Z   test_make_fx_symbolic_exhaustive_copysign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.794s)
2022-11-23T01:28:25.0130302Z   test_make_fx_symbolic_exhaustive_corrcoef_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.040s)
2022-11-23T01:28:25.0130462Z   test_make_fx_symbolic_exhaustive_cos_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.052s)
2022-11-23T01:28:25.0130663Z   test_make_fx_symbolic_exhaustive_cosh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.050s)
2022-11-23T01:28:25.0130864Z   test_make_fx_symbolic_exhaustive_count_nonzero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.008s)
2022-11-23T01:28:25.0131054Z   test_make_fx_symbolic_exhaustive_cov_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.031s)
2022-11-23T01:28:25.0131245Z   test_make_fx_symbolic_exhaustive_cross_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.062s)
2022-11-23T01:28:25.0131440Z   test_make_fx_symbolic_exhaustive_cummax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.040s)
2022-11-23T01:28:25.0131635Z   test_make_fx_symbolic_exhaustive_cummin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.040s)
2022-11-23T01:28:25.0131827Z   test_make_fx_symbolic_exhaustive_cumprod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.041s)
2022-11-23T01:28:25.0132008Z   test_make_fx_symbolic_exhaustive_cumsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.370s)
2022-11-23T01:28:25.0132216Z   test_make_fx_symbolic_exhaustive_cumulative_trapezoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.481s)
2022-11-23T01:28:25.0132384Z   test_make_fx_symbolic_exhaustive_deg2rad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s)
2022-11-23T01:28:25.0132560Z   test_make_fx_symbolic_exhaustive_diag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.073s)
2022-11-23T01:28:25.0132743Z   test_make_fx_symbolic_exhaustive_diag_embed_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.080s)
2022-11-23T01:28:25.0132923Z   test_make_fx_symbolic_exhaustive_diagflat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.323s)
2022-11-23T01:28:25.0133109Z   test_make_fx_symbolic_exhaustive_diagonal_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.853s)
2022-11-23T01:28:25.0133292Z   test_make_fx_symbolic_exhaustive_diagonal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.558s)
2022-11-23T01:28:25.0133480Z   test_make_fx_symbolic_exhaustive_diagonal_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.050s)
2022-11-23T01:28:25.0133670Z   test_make_fx_symbolic_exhaustive_diff_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.069s)
2022-11-23T01:28:25.0133848Z   test_make_fx_symbolic_exhaustive_digamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.053s)
2022-11-23T01:28:25.0134008Z   test_make_fx_symbolic_exhaustive_dist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.817s)
2022-11-23T01:28:25.0134198Z   test_make_fx_symbolic_exhaustive_div_floor_rounding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.182s)
2022-11-23T01:28:25.0134386Z   test_make_fx_symbolic_exhaustive_div_no_rounding_mode_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.522s)
2022-11-23T01:28:25.0134578Z   test_make_fx_symbolic_exhaustive_div_trunc_rounding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.696s)
2022-11-23T01:28:25.0134751Z   test_make_fx_symbolic_exhaustive_dot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s)
2022-11-23T01:28:25.0134927Z   test_make_fx_symbolic_exhaustive_double_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.353s)
2022-11-23T01:28:25.0135120Z   test_make_fx_symbolic_exhaustive_dsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.272s)
2022-11-23T01:28:25.0135298Z   test_make_fx_symbolic_exhaustive_dstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.198s)
2022-11-23T01:28:25.0135505Z   test_make_fx_symbolic_exhaustive_einsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.565s)
2022-11-23T01:28:25.0135685Z   test_make_fx_symbolic_exhaustive_empty_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:25.0135879Z   test_make_fx_symbolic_exhaustive_empty_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:25.0136079Z   test_make_fx_symbolic_exhaustive_eq_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.551s)
2022-11-23T01:28:25.0136328Z   test_make_fx_symbolic_exhaustive_equal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.011s)
2022-11-23T01:28:25.0136552Z   test_make_fx_symbolic_exhaustive_erf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2022-11-23T01:28:25.0136785Z   test_make_fx_symbolic_exhaustive_erfc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.055s)
2022-11-23T01:28:25.0137039Z   test_make_fx_symbolic_exhaustive_erfinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s)
2022-11-23T01:28:25.0137214Z   test_make_fx_symbolic_exhaustive_exp2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.074s)
2022-11-23T01:28:25.0137388Z   test_make_fx_symbolic_exhaustive_exp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.073s)
2022-11-23T01:28:25.0137571Z   test_make_fx_symbolic_exhaustive_expand_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.093s)
2022-11-23T01:28:25.0137734Z   test_make_fx_symbolic_exhaustive_expand_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.227s)
2022-11-23T01:28:25.0137911Z   test_make_fx_symbolic_exhaustive_expm1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2022-11-23T01:28:25.0138083Z   test_make_fx_symbolic_exhaustive_eye_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.845s)
2022-11-23T01:28:25.0138278Z   test_make_fx_symbolic_exhaustive_fft_fft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.055s)
2022-11-23T01:28:25.0138473Z   test_make_fx_symbolic_exhaustive_fft_fft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.063s)
2022-11-23T01:28:25.0138665Z   test_make_fx_symbolic_exhaustive_fft_fftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.062s)
2022-11-23T01:28:25.0138866Z   test_make_fx_symbolic_exhaustive_fft_fftshift_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.050s)
2022-11-23T01:28:25.0139060Z   test_make_fx_symbolic_exhaustive_fft_hfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.048s)
2022-11-23T01:28:25.0139252Z   test_make_fx_symbolic_exhaustive_fft_hfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.059s)
2022-11-23T01:28:25.0139432Z   test_make_fx_symbolic_exhaustive_fft_hfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.044s)
2022-11-23T01:28:25.0139620Z   test_make_fx_symbolic_exhaustive_fft_ifft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.050s)
2022-11-23T01:28:25.0139811Z   test_make_fx_symbolic_exhaustive_fft_ifft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.043s)
2022-11-23T01:28:25.0140004Z   test_make_fx_symbolic_exhaustive_fft_ifftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.043s)
2022-11-23T01:28:25.0140205Z   test_make_fx_symbolic_exhaustive_fft_ifftshift_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.036s)
2022-11-23T01:28:25.0140401Z   test_make_fx_symbolic_exhaustive_fft_ihfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.044s)
2022-11-23T01:28:25.0140596Z   test_make_fx_symbolic_exhaustive_fft_ihfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.043s)
2022-11-23T01:28:25.0140790Z   test_make_fx_symbolic_exhaustive_fft_ihfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.044s)
2022-11-23T01:28:25.0141042Z   test_make_fx_symbolic_exhaustive_fft_irfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.044s)
2022-11-23T01:28:25.0141232Z   test_make_fx_symbolic_exhaustive_fft_irfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.057s)
2022-11-23T01:28:25.0141410Z   test_make_fx_symbolic_exhaustive_fft_irfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.045s)
2022-11-23T01:28:25.0141627Z   test_make_fx_symbolic_exhaustive_fft_rfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.044s)
2022-11-23T01:28:25.0141820Z   test_make_fx_symbolic_exhaustive_fft_rfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.043s)
2022-11-23T01:28:25.0142013Z   test_make_fx_symbolic_exhaustive_fft_rfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.044s)
2022-11-23T01:28:25.0142186Z   test_make_fx_symbolic_exhaustive_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.087s)
2022-11-23T01:28:25.0142368Z   test_make_fx_symbolic_exhaustive_flatten_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.212s)
2022-11-23T01:28:25.0142542Z   test_make_fx_symbolic_exhaustive_flip_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.443s)
2022-11-23T01:28:25.0142720Z   test_make_fx_symbolic_exhaustive_fliplr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.125s)
2022-11-23T01:28:25.0142900Z   test_make_fx_symbolic_exhaustive_flipud_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.097s)
2022-11-23T01:28:25.0143064Z   test_make_fx_symbolic_exhaustive_float_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.557s)
2022-11-23T01:28:25.0143246Z   test_make_fx_symbolic_exhaustive_float_power_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.681s)
2022-11-23T01:28:25.0143420Z   test_make_fx_symbolic_exhaustive_floor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s)
2022-11-23T01:28:25.0143604Z   test_make_fx_symbolic_exhaustive_floor_divide_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.054s)
2022-11-23T01:28:25.0143778Z   test_make_fx_symbolic_exhaustive_fmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.508s)
2022-11-23T01:28:25.0143951Z   test_make_fx_symbolic_exhaustive_fmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.589s)
2022-11-23T01:28:25.0144123Z   test_make_fx_symbolic_exhaustive_fmod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.593s)
2022-11-23T01:28:25.0144294Z   test_make_fx_symbolic_exhaustive_frac_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.063s)
2022-11-23T01:28:25.0144487Z   test_make_fx_symbolic_exhaustive_frexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.025s)
2022-11-23T01:28:25.0144644Z   test_make_fx_symbolic_exhaustive_full_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2022-11-23T01:28:25.0144905Z   test_make_fx_symbolic_exhaustive_full_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.148s)
2022-11-23T01:28:25.0145088Z   test_make_fx_symbolic_exhaustive_gather_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.159s)
2022-11-23T01:28:25.0145261Z   test_make_fx_symbolic_exhaustive_ge_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.497s)
2022-11-23T01:28:25.0145453Z   test_make_fx_symbolic_exhaustive_geqrf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s)
2022-11-23T01:28:25.0145651Z   test_make_fx_symbolic_exhaustive_gradient_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.027s)
2022-11-23T01:28:25.0145840Z   test_make_fx_symbolic_exhaustive_grid_sampler_2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (59.190s)
2022-11-23T01:28:25.0146013Z   test_make_fx_symbolic_exhaustive_gt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.504s)
2022-11-23T01:28:25.0146187Z   test_make_fx_symbolic_exhaustive_half_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.205s)
2022-11-23T01:28:25.0146368Z   test_make_fx_symbolic_exhaustive_heaviside_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.937s)
2022-11-23T01:28:25.0146575Z   test_make_fx_symbolic_exhaustive_histc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.009s)
2022-11-23T01:28:25.0146776Z   test_make_fx_symbolic_exhaustive_histogram_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.009s)
2022-11-23T01:28:25.0147033Z   test_make_fx_symbolic_exhaustive_histogramdd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s)
2022-11-23T01:28:25.0147227Z   test_make_fx_symbolic_exhaustive_hsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s)
2022-11-23T01:28:25.0147404Z   test_make_fx_symbolic_exhaustive_hstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.123s)
2022-11-23T01:28:25.0147579Z   test_make_fx_symbolic_exhaustive_hypot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.514s)
2022-11-23T01:28:25.0147765Z   test_make_fx_symbolic_exhaustive_i0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.032s)
2022-11-23T01:28:25.0147943Z   test_make_fx_symbolic_exhaustive_igamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.514s)
2022-11-23T01:28:25.0148121Z   test_make_fx_symbolic_exhaustive_igammac_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.512s)
2022-11-23T01:28:25.0148289Z   test_make_fx_symbolic_exhaustive_index_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.360s)
2022-11-23T01:28:25.0148472Z   test_make_fx_symbolic_exhaustive_index_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.125s)
2022-11-23T01:28:25.0148654Z   test_make_fx_symbolic_exhaustive_index_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.095s)
2022-11-23T01:28:25.0148833Z   test_make_fx_symbolic_exhaustive_index_put_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.240s)
2022-11-23T01:28:25.0149029Z   test_make_fx_symbolic_exhaustive_index_reduce_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.030s)
2022-11-23T01:28:25.0149210Z   test_make_fx_symbolic_exhaustive_index_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.077s)
2022-11-23T01:28:25.0149400Z   test_make_fx_symbolic_exhaustive_inner_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.035s)
2022-11-23T01:28:25.0149618Z   test_make_fx_symbolic_exhaustive_inplace_H_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0149835Z   test_make_fx_symbolic_exhaustive_inplace_T_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0150062Z   test_make_fx_symbolic_exhaustive_inplace___getitem___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0150270Z   test_make_fx_symbolic_exhaustive_inplace___radd___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0150492Z   test_make_fx_symbolic_exhaustive_inplace___rdiv___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0150719Z   test_make_fx_symbolic_exhaustive_inplace___rmatmul___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0150943Z   test_make_fx_symbolic_exhaustive_inplace___rmod___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0151165Z   test_make_fx_symbolic_exhaustive_inplace___rmul___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0151382Z   test_make_fx_symbolic_exhaustive_inplace___rpow___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0151594Z   test_make_fx_symbolic_exhaustive_inplace___rsub___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0151859Z   test_make_fx_symbolic_exhaustive_inplace__softmax_backward_data_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0152043Z   test_make_fx_symbolic_exhaustive_inplace_abs_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2022-11-23T01:28:25.0152257Z   test_make_fx_symbolic_exhaustive_inplace_acos_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.073s)
2022-11-23T01:28:25.0152444Z   test_make_fx_symbolic_exhaustive_inplace_acosh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s)
2022-11-23T01:28:25.0152611Z   test_make_fx_symbolic_exhaustive_inplace_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.373s)
2022-11-23T01:28:25.0152794Z   test_make_fx_symbolic_exhaustive_inplace_addbmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.184s)
2022-11-23T01:28:25.0152983Z   test_make_fx_symbolic_exhaustive_inplace_addcdiv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.434s)
2022-11-23T01:28:25.0153173Z   test_make_fx_symbolic_exhaustive_inplace_addcmul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.451s)
2022-11-23T01:28:25.0153373Z   test_make_fx_symbolic_exhaustive_inplace_addmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.086s)
2022-11-23T01:28:25.0153587Z   test_make_fx_symbolic_exhaustive_inplace_addmm_decomposed_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.083s)
2022-11-23T01:28:25.0153785Z   test_make_fx_symbolic_exhaustive_inplace_addmv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.065s)
2022-11-23T01:28:25.0153985Z   test_make_fx_symbolic_exhaustive_inplace_addr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.085s)
2022-11-23T01:28:25.0154201Z   test_make_fx_symbolic_exhaustive_inplace_all_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0154422Z   test_make_fx_symbolic_exhaustive_inplace_allclose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0154627Z   test_make_fx_symbolic_exhaustive_inplace_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0154841Z   test_make_fx_symbolic_exhaustive_inplace_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0155058Z   test_make_fx_symbolic_exhaustive_inplace_aminmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0155275Z   test_make_fx_symbolic_exhaustive_inplace_angle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0155487Z   test_make_fx_symbolic_exhaustive_inplace_any_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0155710Z   test_make_fx_symbolic_exhaustive_inplace_arange_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.007s)
2022-11-23T01:28:25.0155927Z   test_make_fx_symbolic_exhaustive_inplace_argmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0156141Z   test_make_fx_symbolic_exhaustive_inplace_argmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0156360Z   test_make_fx_symbolic_exhaustive_inplace_argsort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0156585Z   test_make_fx_symbolic_exhaustive_inplace_argwhere_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0156774Z   test_make_fx_symbolic_exhaustive_inplace_as_strided_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.198s)
2022-11-23T01:28:25.0157029Z   test_make_fx_symbolic_exhaustive_inplace_as_strided_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.002s)
2022-11-23T01:28:25.0157384Z   test_make_fx_symbolic_exhaustive_inplace_asin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.063s)
2022-11-23T01:28:25.0157656Z   test_make_fx_symbolic_exhaustive_inplace_asinh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s)
2022-11-23T01:28:25.0157846Z   test_make_fx_symbolic_exhaustive_inplace_atan2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.314s)
2022-11-23T01:28:25.0158030Z   test_make_fx_symbolic_exhaustive_inplace_atan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2022-11-23T01:28:25.0158216Z   test_make_fx_symbolic_exhaustive_inplace_atanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2022-11-23T01:28:25.0158443Z   test_make_fx_symbolic_exhaustive_inplace_atleast_1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0158672Z   test_make_fx_symbolic_exhaustive_inplace_atleast_2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0158895Z   test_make_fx_symbolic_exhaustive_inplace_atleast_3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0159101Z   test_make_fx_symbolic_exhaustive_inplace_baddbmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.112s)
2022-11-23T01:28:25.0159311Z   test_make_fx_symbolic_exhaustive_inplace_bernoulli_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0159532Z   test_make_fx_symbolic_exhaustive_inplace_bfloat16_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0159738Z   test_make_fx_symbolic_exhaustive_inplace_block_diag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:25.0159955Z   test_make_fx_symbolic_exhaustive_inplace_bmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0160173Z   test_make_fx_symbolic_exhaustive_inplace_bool_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0160406Z   test_make_fx_symbolic_exhaustive_inplace_broadcast_shapes_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0160639Z   test_make_fx_symbolic_exhaustive_inplace_broadcast_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0160863Z   test_make_fx_symbolic_exhaustive_inplace_broadcast_to_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0161090Z   test_make_fx_symbolic_exhaustive_inplace_bucketize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0161309Z   test_make_fx_symbolic_exhaustive_inplace_byte_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0161540Z   test_make_fx_symbolic_exhaustive_inplace_cartesian_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0161742Z   test_make_fx_symbolic_exhaustive_inplace_cat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0161960Z   test_make_fx_symbolic_exhaustive_inplace_cdist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0162183Z   test_make_fx_symbolic_exhaustive_inplace_cdouble_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0162406Z   test_make_fx_symbolic_exhaustive_inplace_ceil_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.054s)
2022-11-23T01:28:25.0162624Z   test_make_fx_symbolic_exhaustive_inplace_cfloat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0162866Z   test_make_fx_symbolic_exhaustive_inplace_chalf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0163084Z   test_make_fx_symbolic_exhaustive_inplace_char_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0163307Z   test_make_fx_symbolic_exhaustive_inplace_cholesky_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0163535Z   test_make_fx_symbolic_exhaustive_inplace_cholesky_inverse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0163765Z   test_make_fx_symbolic_exhaustive_inplace_cholesky_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0163979Z   test_make_fx_symbolic_exhaustive_inplace_chunk_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0164152Z   test_make_fx_symbolic_exhaustive_inplace_clamp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.876s)
2022-11-23T01:28:25.0164343Z   test_make_fx_symbolic_exhaustive_inplace_clamp_max_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.447s)
2022-11-23T01:28:25.0164533Z   test_make_fx_symbolic_exhaustive_inplace_clamp_min_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.435s)
2022-11-23T01:28:25.0164752Z   test_make_fx_symbolic_exhaustive_inplace_clone_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0164981Z   test_make_fx_symbolic_exhaustive_inplace_column_stack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0165207Z   test_make_fx_symbolic_exhaustive_inplace_combinations_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0165430Z   test_make_fx_symbolic_exhaustive_inplace_complex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0165643Z   test_make_fx_symbolic_exhaustive_inplace_conj_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0165838Z   test_make_fx_symbolic_exhaustive_inplace_conj_physical_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2022-11-23T01:28:25.0166067Z   test_make_fx_symbolic_exhaustive_inplace_constant_pad_nd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0166292Z   test_make_fx_symbolic_exhaustive_inplace_contiguous_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0166471Z   test_make_fx_symbolic_exhaustive_inplace_copysign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.478s)
2022-11-23T01:28:25.0166697Z   test_make_fx_symbolic_exhaustive_inplace_corrcoef_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0166879Z   test_make_fx_symbolic_exhaustive_inplace_cos_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s)
2022-11-23T01:28:25.0167064Z   test_make_fx_symbolic_exhaustive_inplace_cosh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.071s)
2022-11-23T01:28:25.0167292Z   test_make_fx_symbolic_exhaustive_inplace_count_nonzero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0167535Z   test_make_fx_symbolic_exhaustive_inplace_cov_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0167754Z   test_make_fx_symbolic_exhaustive_inplace_cross_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0168000Z   test_make_fx_symbolic_exhaustive_inplace_cummax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0168216Z   test_make_fx_symbolic_exhaustive_inplace_cummin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0168420Z   test_make_fx_symbolic_exhaustive_inplace_cumprod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.055s)
2022-11-23T01:28:25.0168594Z   test_make_fx_symbolic_exhaustive_inplace_cumsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.408s)
2022-11-23T01:28:25.0168833Z   test_make_fx_symbolic_exhaustive_inplace_cumulative_trapezoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0169020Z   test_make_fx_symbolic_exhaustive_inplace_deg2rad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s)
2022-11-23T01:28:25.0169238Z   test_make_fx_symbolic_exhaustive_inplace_diag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0169463Z   test_make_fx_symbolic_exhaustive_inplace_diag_embed_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0169686Z   test_make_fx_symbolic_exhaustive_inplace_diagflat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0169913Z   test_make_fx_symbolic_exhaustive_inplace_diagonal_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0170138Z   test_make_fx_symbolic_exhaustive_inplace_diagonal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0170370Z   test_make_fx_symbolic_exhaustive_inplace_diagonal_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0170590Z   test_make_fx_symbolic_exhaustive_inplace_diff_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0170777Z   test_make_fx_symbolic_exhaustive_inplace_digamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.070s)
2022-11-23T01:28:25.0170979Z   test_make_fx_symbolic_exhaustive_inplace_dist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0171176Z   test_make_fx_symbolic_exhaustive_inplace_div_floor_rounding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.530s)
2022-11-23T01:28:25.0171378Z   test_make_fx_symbolic_exhaustive_inplace_div_no_rounding_mode_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.288s)
2022-11-23T01:28:25.0171572Z   test_make_fx_symbolic_exhaustive_inplace_div_trunc_rounding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.349s)
2022-11-23T01:28:25.0171789Z   test_make_fx_symbolic_exhaustive_inplace_dot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0172008Z   test_make_fx_symbolic_exhaustive_inplace_double_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0172225Z   test_make_fx_symbolic_exhaustive_inplace_dsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0172442Z   test_make_fx_symbolic_exhaustive_inplace_dstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0172681Z   test_make_fx_symbolic_exhaustive_inplace_einsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0172873Z   test_make_fx_symbolic_exhaustive_inplace_empty_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.001s)
2022-11-23T01:28:25.0173102Z   test_make_fx_symbolic_exhaustive_inplace_empty_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:25.0173271Z   test_make_fx_symbolic_exhaustive_inplace_eq_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.378s)
2022-11-23T01:28:25.0173490Z   test_make_fx_symbolic_exhaustive_inplace_equal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0173671Z   test_make_fx_symbolic_exhaustive_inplace_erf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s)
2022-11-23T01:28:25.0173858Z   test_make_fx_symbolic_exhaustive_inplace_erfc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.079s)
2022-11-23T01:28:25.0174045Z   test_make_fx_symbolic_exhaustive_inplace_erfinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s)
2022-11-23T01:28:25.0174227Z   test_make_fx_symbolic_exhaustive_inplace_exp2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.073s)
2022-11-23T01:28:25.0174414Z   test_make_fx_symbolic_exhaustive_inplace_exp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.073s)
2022-11-23T01:28:25.0174637Z   test_make_fx_symbolic_exhaustive_inplace_expand_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0174853Z   test_make_fx_symbolic_exhaustive_inplace_expand_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0175036Z   test_make_fx_symbolic_exhaustive_inplace_expm1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2022-11-23T01:28:25.0175244Z   test_make_fx_symbolic_exhaustive_inplace_eye_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0175463Z   test_make_fx_symbolic_exhaustive_inplace_fft_fft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0175682Z   test_make_fx_symbolic_exhaustive_inplace_fft_fft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0175898Z   test_make_fx_symbolic_exhaustive_inplace_fft_fftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0176123Z   test_make_fx_symbolic_exhaustive_inplace_fft_fftshift_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0176344Z   test_make_fx_symbolic_exhaustive_inplace_fft_hfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0176567Z   test_make_fx_symbolic_exhaustive_inplace_fft_hfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0176785Z   test_make_fx_symbolic_exhaustive_inplace_fft_hfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0177002Z   test_make_fx_symbolic_exhaustive_inplace_fft_ifft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0177222Z   test_make_fx_symbolic_exhaustive_inplace_fft_ifft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0177440Z   test_make_fx_symbolic_exhaustive_inplace_fft_ifftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0177648Z   test_make_fx_symbolic_exhaustive_inplace_fft_ifftshift_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0177896Z   test_make_fx_symbolic_exhaustive_inplace_fft_ihfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0178116Z   test_make_fx_symbolic_exhaustive_inplace_fft_ihfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0178364Z   test_make_fx_symbolic_exhaustive_inplace_fft_ihfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0178585Z   test_make_fx_symbolic_exhaustive_inplace_fft_irfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0178808Z   test_make_fx_symbolic_exhaustive_inplace_fft_irfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0179030Z   test_make_fx_symbolic_exhaustive_inplace_fft_irfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0179246Z   test_make_fx_symbolic_exhaustive_inplace_fft_rfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0179470Z   test_make_fx_symbolic_exhaustive_inplace_fft_rfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0179689Z   test_make_fx_symbolic_exhaustive_inplace_fft_rfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0179872Z   test_make_fx_symbolic_exhaustive_inplace_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.066s)
2022-11-23T01:28:25.0180080Z   test_make_fx_symbolic_exhaustive_inplace_flatten_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0180299Z   test_make_fx_symbolic_exhaustive_inplace_flip_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0180517Z   test_make_fx_symbolic_exhaustive_inplace_fliplr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0180733Z   test_make_fx_symbolic_exhaustive_inplace_flipud_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0180950Z   test_make_fx_symbolic_exhaustive_inplace_float_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0181156Z   test_make_fx_symbolic_exhaustive_inplace_float_power_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.023s)
2022-11-23T01:28:25.0181343Z   test_make_fx_symbolic_exhaustive_inplace_floor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2022-11-23T01:28:25.0181540Z   test_make_fx_symbolic_exhaustive_inplace_floor_divide_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.095s)
2022-11-23T01:28:25.0181757Z   test_make_fx_symbolic_exhaustive_inplace_fmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0181972Z   test_make_fx_symbolic_exhaustive_inplace_fmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0182156Z   test_make_fx_symbolic_exhaustive_inplace_fmod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.332s)
2022-11-23T01:28:25.0182327Z   test_make_fx_symbolic_exhaustive_inplace_frac_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.073s)
2022-11-23T01:28:25.0182546Z   test_make_fx_symbolic_exhaustive_inplace_frexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0182760Z   test_make_fx_symbolic_exhaustive_inplace_full_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0183020Z   test_make_fx_symbolic_exhaustive_inplace_full_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0183240Z   test_make_fx_symbolic_exhaustive_inplace_gather_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0183451Z   test_make_fx_symbolic_exhaustive_inplace_ge_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.319s)
2022-11-23T01:28:25.0183671Z   test_make_fx_symbolic_exhaustive_inplace_geqrf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0183896Z   test_make_fx_symbolic_exhaustive_inplace_gradient_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0184127Z   test_make_fx_symbolic_exhaustive_inplace_grid_sampler_2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0184307Z   test_make_fx_symbolic_exhaustive_inplace_gt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.317s)
2022-11-23T01:28:25.0184513Z   test_make_fx_symbolic_exhaustive_inplace_half_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0184707Z   test_make_fx_symbolic_exhaustive_inplace_heaviside_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.516s)
2022-11-23T01:28:25.0185035Z   test_make_fx_symbolic_exhaustive_inplace_histc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0185259Z   test_make_fx_symbolic_exhaustive_inplace_histogram_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0185485Z   test_make_fx_symbolic_exhaustive_inplace_histogramdd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0185707Z   test_make_fx_symbolic_exhaustive_inplace_hsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0185924Z   test_make_fx_symbolic_exhaustive_inplace_hstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0186116Z   test_make_fx_symbolic_exhaustive_inplace_hypot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.312s)
2022-11-23T01:28:25.0186313Z   test_make_fx_symbolic_exhaustive_inplace_i0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.040s)
2022-11-23T01:28:25.0186499Z   test_make_fx_symbolic_exhaustive_inplace_igamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.333s)
2022-11-23T01:28:25.0186673Z   test_make_fx_symbolic_exhaustive_inplace_igammac_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.322s)
2022-11-23T01:28:25.0186869Z   test_make_fx_symbolic_exhaustive_inplace_index_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.395s)
2022-11-23T01:28:25.0187056Z   test_make_fx_symbolic_exhaustive_inplace_index_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.125s)
2022-11-23T01:28:25.0187245Z   test_make_fx_symbolic_exhaustive_inplace_index_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.105s)
2022-11-23T01:28:25.0187442Z   test_make_fx_symbolic_exhaustive_inplace_index_put_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.262s)
2022-11-23T01:28:25.0187652Z   test_make_fx_symbolic_exhaustive_inplace_index_reduce_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.035s)
2022-11-23T01:28:25.0187881Z   test_make_fx_symbolic_exhaustive_inplace_index_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0188098Z   test_make_fx_symbolic_exhaustive_inplace_inner_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0188347Z   test_make_fx_symbolic_exhaustive_inplace_int_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0188567Z   test_make_fx_symbolic_exhaustive_inplace_isclose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0188815Z   test_make_fx_symbolic_exhaustive_inplace_isfinite_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0189019Z   test_make_fx_symbolic_exhaustive_inplace_isin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0189236Z   test_make_fx_symbolic_exhaustive_inplace_isinf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0189449Z   test_make_fx_symbolic_exhaustive_inplace_isnan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0189669Z   test_make_fx_symbolic_exhaustive_inplace_isneginf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0189884Z   test_make_fx_symbolic_exhaustive_inplace_isposinf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0190104Z   test_make_fx_symbolic_exhaustive_inplace_isreal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0190329Z   test_make_fx_symbolic_exhaustive_inplace_jiterator_2inputs_2outputs_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T01:28:25.0190564Z   test_make_fx_symbolic_exhaustive_inplace_jiterator_4inputs_with_extra_args_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T01:28:25.0190781Z   test_make_fx_symbolic_exhaustive_inplace_jiterator_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T01:28:25.0191013Z   test_make_fx_symbolic_exhaustive_inplace_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T01:28:25.0191232Z   test_make_fx_symbolic_exhaustive_inplace_jiterator_unary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T01:28:25.0191434Z   test_make_fx_symbolic_exhaustive_inplace_kron_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0191654Z   test_make_fx_symbolic_exhaustive_inplace_kthvalue_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0191839Z   test_make_fx_symbolic_exhaustive_inplace_ldexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.355s)
2022-11-23T01:28:25.0192022Z   test_make_fx_symbolic_exhaustive_inplace_le_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.306s)
2022-11-23T01:28:25.0192205Z   test_make_fx_symbolic_exhaustive_inplace_lerp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.697s)
2022-11-23T01:28:25.0192391Z   test_make_fx_symbolic_exhaustive_inplace_lgamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.073s)
2022-11-23T01:28:25.0192623Z   test_make_fx_symbolic_exhaustive_inplace_linalg_cholesky_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.006s)
2022-11-23T01:28:25.0192855Z   test_make_fx_symbolic_exhaustive_inplace_linalg_cholesky_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0193079Z   test_make_fx_symbolic_exhaustive_inplace_linalg_cond_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0193344Z   test_make_fx_symbolic_exhaustive_inplace_linalg_cross_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0193570Z   test_make_fx_symbolic_exhaustive_inplace_linalg_det_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0193817Z   test_make_fx_symbolic_exhaustive_inplace_linalg_det_singular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0194040Z   test_make_fx_symbolic_exhaustive_inplace_linalg_eig_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0194264Z   test_make_fx_symbolic_exhaustive_inplace_linalg_eigh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0194490Z   test_make_fx_symbolic_exhaustive_inplace_linalg_eigvals_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0194719Z   test_make_fx_symbolic_exhaustive_inplace_linalg_eigvalsh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0194959Z   test_make_fx_symbolic_exhaustive_inplace_linalg_householder_product_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0195184Z   test_make_fx_symbolic_exhaustive_inplace_linalg_inv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0195413Z   test_make_fx_symbolic_exhaustive_inplace_linalg_inv_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0195645Z   test_make_fx_symbolic_exhaustive_inplace_linalg_ldl_factor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0195879Z   test_make_fx_symbolic_exhaustive_inplace_linalg_ldl_factor_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0196109Z   test_make_fx_symbolic_exhaustive_inplace_linalg_ldl_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0196303Z   test_make_fx_symbolic_exhaustive_inplace_linalg_lstsq_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.001s)
2022-11-23T01:28:25.0196522Z   test_make_fx_symbolic_exhaustive_inplace_linalg_lstsq_grad_oriented_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:25.0196744Z   test_make_fx_symbolic_exhaustive_inplace_linalg_lu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0196967Z   test_make_fx_symbolic_exhaustive_inplace_linalg_lu_factor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0197353Z   test_make_fx_symbolic_exhaustive_inplace_linalg_lu_factor_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0197612Z   test_make_fx_symbolic_exhaustive_inplace_linalg_lu_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0197846Z   test_make_fx_symbolic_exhaustive_inplace_linalg_matrix_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0198078Z   test_make_fx_symbolic_exhaustive_inplace_linalg_matrix_power_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0198307Z   test_make_fx_symbolic_exhaustive_inplace_linalg_matrix_rank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0198601Z   test_make_fx_symbolic_exhaustive_inplace_linalg_matrix_rank_hermitian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0198828Z   test_make_fx_symbolic_exhaustive_inplace_linalg_multi_dot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0199083Z   test_make_fx_symbolic_exhaustive_inplace_linalg_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0199317Z   test_make_fx_symbolic_exhaustive_inplace_linalg_norm_subgradients_at_zero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0199541Z   test_make_fx_symbolic_exhaustive_inplace_linalg_pinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0199776Z   test_make_fx_symbolic_exhaustive_inplace_linalg_pinv_hermitian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0200041Z   test_make_fx_symbolic_exhaustive_inplace_linalg_pinv_singular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:28:25.0200266Z   test_make_fx_symbolic_exhaustive_inplace_linalg_qr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0200495Z   test_make_fx_symbolic_exhaustive_inplace_linalg_slogdet_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0200719Z   test_make_fx_symbolic_exhaustive_inplace_linalg_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0200947Z   test_make_fx_symbolic_exhaustive_inplace_linalg_solve_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0201185Z   test_make_fx_symbolic_exhaustive_inplace_linalg_solve_triangular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0201406Z   test_make_fx_symbolic_exhaustive_inplace_linalg_svd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0201633Z   test_make_fx_symbolic_exhaustive_inplace_linalg_svdvals_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0201863Z   test_make_fx_symbolic_exhaustive_inplace_linalg_tensorinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0202081Z   test_make_fx_symbolic_exhaustive_inplace_linalg_tensorsolve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0202309Z   test_make_fx_symbolic_exhaustive_inplace_linalg_vander_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0202534Z   test_make_fx_symbolic_exhaustive_inplace_linalg_vecdot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0202766Z   test_make_fx_symbolic_exhaustive_inplace_linalg_vector_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0202986Z   test_make_fx_symbolic_exhaustive_inplace_linspace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0203172Z   test_make_fx_symbolic_exhaustive_inplace_log10_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.074s)
2022-11-23T01:28:25.0203359Z   test_make_fx_symbolic_exhaustive_inplace_log1p_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2022-11-23T01:28:25.0203574Z   test_make_fx_symbolic_exhaustive_inplace_log2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.074s)
2022-11-23T01:28:25.0203759Z   test_make_fx_symbolic_exhaustive_inplace_log_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.082s)
2022-11-23T01:28:25.0203981Z   test_make_fx_symbolic_exhaustive_inplace_log_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0204245Z   test_make_fx_symbolic_exhaustive_inplace_log_softmax_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0204462Z   test_make_fx_symbolic_exhaustive_inplace_logaddexp2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0204687Z   test_make_fx_symbolic_exhaustive_inplace_logaddexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0204916Z   test_make_fx_symbolic_exhaustive_inplace_logcumsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0205137Z   test_make_fx_symbolic_exhaustive_inplace_logdet_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0205331Z   test_make_fx_symbolic_exhaustive_inplace_logical_and_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.269s)
2022-11-23T01:28:25.0205525Z   test_make_fx_symbolic_exhaustive_inplace_logical_not_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.062s)
2022-11-23T01:28:25.0205715Z   test_make_fx_symbolic_exhaustive_inplace_logical_or_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.267s)
2022-11-23T01:28:25.0205905Z   test_make_fx_symbolic_exhaustive_inplace_logical_xor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.264s)
2022-11-23T01:28:25.0206088Z   test_make_fx_symbolic_exhaustive_inplace_logit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.128s)
2022-11-23T01:28:25.0206313Z   test_make_fx_symbolic_exhaustive_inplace_logspace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0206524Z   test_make_fx_symbolic_exhaustive_inplace_logsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.007s)
2022-11-23T01:28:25.0206744Z   test_make_fx_symbolic_exhaustive_inplace_long_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0206924Z   test_make_fx_symbolic_exhaustive_inplace_lt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.310s)
2022-11-23T01:28:25.0207140Z   test_make_fx_symbolic_exhaustive_inplace_lu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0207361Z   test_make_fx_symbolic_exhaustive_inplace_lu_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0207585Z   test_make_fx_symbolic_exhaustive_inplace_lu_unpack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0207798Z   test_make_fx_symbolic_exhaustive_inplace_mH_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0208015Z   test_make_fx_symbolic_exhaustive_inplace_mT_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0208238Z   test_make_fx_symbolic_exhaustive_inplace_masked_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0208462Z   test_make_fx_symbolic_exhaustive_inplace_masked_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0208689Z   test_make_fx_symbolic_exhaustive_inplace_masked_argmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0208932Z   test_make_fx_symbolic_exhaustive_inplace_masked_argmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0209160Z   test_make_fx_symbolic_exhaustive_inplace_masked_cumprod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0209416Z   test_make_fx_symbolic_exhaustive_inplace_masked_cumsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0209608Z   test_make_fx_symbolic_exhaustive_inplace_masked_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.244s)
2022-11-23T01:28:25.0209838Z   test_make_fx_symbolic_exhaustive_inplace_masked_log_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0210072Z   test_make_fx_symbolic_exhaustive_inplace_masked_logaddexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0210282Z   test_make_fx_symbolic_exhaustive_inplace_masked_logsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:25.0210509Z   test_make_fx_symbolic_exhaustive_inplace_masked_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0210733Z   test_make_fx_symbolic_exhaustive_inplace_masked_median_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0210955Z   test_make_fx_symbolic_exhaustive_inplace_masked_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0211183Z   test_make_fx_symbolic_exhaustive_inplace_masked_normalize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0211408Z   test_make_fx_symbolic_exhaustive_inplace_masked_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0211590Z   test_make_fx_symbolic_exhaustive_inplace_masked_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.200s)
2022-11-23T01:28:25.0211821Z   test_make_fx_symbolic_exhaustive_inplace_masked_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0212048Z   test_make_fx_symbolic_exhaustive_inplace_masked_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0212274Z   test_make_fx_symbolic_exhaustive_inplace_masked_softmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0212496Z   test_make_fx_symbolic_exhaustive_inplace_masked_std_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0212717Z   test_make_fx_symbolic_exhaustive_inplace_masked_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0212939Z   test_make_fx_symbolic_exhaustive_inplace_masked_var_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0213159Z   test_make_fx_symbolic_exhaustive_inplace_matmul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0213379Z   test_make_fx_symbolic_exhaustive_inplace_matrix_exp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0213598Z   test_make_fx_symbolic_exhaustive_inplace_max_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0213876Z   test_make_fx_symbolic_exhaustive_inplace_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0214098Z   test_make_fx_symbolic_exhaustive_inplace_max_reduction_no_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0214366Z   test_make_fx_symbolic_exhaustive_inplace_max_reduction_with_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0214587Z   test_make_fx_symbolic_exhaustive_inplace_maximum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0214805Z   test_make_fx_symbolic_exhaustive_inplace_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0215024Z   test_make_fx_symbolic_exhaustive_inplace_median_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0215263Z   test_make_fx_symbolic_exhaustive_inplace_meshgrid_list_of_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0215502Z   test_make_fx_symbolic_exhaustive_inplace_meshgrid_variadic_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0215728Z   test_make_fx_symbolic_exhaustive_inplace_min_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0215963Z   test_make_fx_symbolic_exhaustive_inplace_min_reduction_no_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0216196Z   test_make_fx_symbolic_exhaustive_inplace_min_reduction_with_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0216419Z   test_make_fx_symbolic_exhaustive_inplace_minimum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0216635Z   test_make_fx_symbolic_exhaustive_inplace_mm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0216843Z   test_make_fx_symbolic_exhaustive_inplace_mode_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0217064Z   test_make_fx_symbolic_exhaustive_inplace_movedim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0217282Z   test_make_fx_symbolic_exhaustive_inplace_msort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0217465Z   test_make_fx_symbolic_exhaustive_inplace_mul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.287s)
2022-11-23T01:28:25.0217694Z   test_make_fx_symbolic_exhaustive_inplace_multinomial_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0217909Z   test_make_fx_symbolic_exhaustive_inplace_mv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0218113Z   test_make_fx_symbolic_exhaustive_inplace_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.494s)
2022-11-23T01:28:25.0218315Z   test_make_fx_symbolic_exhaustive_inplace_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.521s)
2022-11-23T01:28:25.0218516Z   test_make_fx_symbolic_exhaustive_inplace_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.477s)
2022-11-23T01:28:25.0218704Z   test_make_fx_symbolic_exhaustive_inplace_nan_to_num_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.221s)
2022-11-23T01:28:25.0218939Z   test_make_fx_symbolic_exhaustive_inplace_nanmean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0219162Z   test_make_fx_symbolic_exhaustive_inplace_nanmedian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0219411Z   test_make_fx_symbolic_exhaustive_inplace_nanquantile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0219632Z   test_make_fx_symbolic_exhaustive_inplace_nansum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0219856Z   test_make_fx_symbolic_exhaustive_inplace_narrow_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0220072Z   test_make_fx_symbolic_exhaustive_inplace_narrow_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0220304Z   test_make_fx_symbolic_exhaustive_inplace_native_batch_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0220539Z   test_make_fx_symbolic_exhaustive_inplace_native_dropout_backward_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.007s)
2022-11-23T01:28:25.0220772Z   test_make_fx_symbolic_exhaustive_inplace_native_layer_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0220955Z   test_make_fx_symbolic_exhaustive_inplace_ne_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.308s)
2022-11-23T01:28:25.0221138Z   test_make_fx_symbolic_exhaustive_inplace_neg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s)
2022-11-23T01:28:25.0221327Z   test_make_fx_symbolic_exhaustive_inplace_new_empty_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.001s)
2022-11-23T01:28:25.0221561Z   test_make_fx_symbolic_exhaustive_inplace_new_empty_strided_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0221783Z   test_make_fx_symbolic_exhaustive_inplace_new_full_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0222005Z   test_make_fx_symbolic_exhaustive_inplace_new_ones_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0222227Z   test_make_fx_symbolic_exhaustive_inplace_new_zeros_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0222417Z   test_make_fx_symbolic_exhaustive_inplace_nextafter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.321s)
2022-11-23T01:28:25.0222674Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional__scaled_dot_product_attention_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0222922Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_avg_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0223173Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_avg_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0223418Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_avg_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0223658Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_max_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0223902Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0224162Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0224373Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_alpha_dropout_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.576s)
2022-11-23T01:28:25.0224637Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_avg_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0224966Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_avg_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0225201Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_avg_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0225425Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_batch_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.001s)
2022-11-23T01:28:25.0225661Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0225910Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0226168Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0226366Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_celu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.105s)
2022-11-23T01:28:25.0226600Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0226830Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0227064Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0227306Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0227546Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0227793Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_cosine_embedding_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0228039Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_cosine_similarity_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0228281Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_cross_entropy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0228517Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_ctc_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0229608Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_dropout2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2022-11-23T01:28:25.0229929Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2022-11-23T01:28:25.0230779Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2022-11-23T01:28:25.0231024Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2022-11-23T01:28:25.0231840Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2022-11-23T01:28:25.0232079Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2022-11-23T01:28:25.0232893Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2022-11-23T01:28:25.0233134Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2022-11-23T01:28:25.0233952Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2022-11-23T01:28:25.0234189Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2022-11-23T01:28:25.0235002Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2022-11-23T01:28:25.0235247Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2022-11-23T01:28:25.0235314Z ok (0.936s)
2022-11-23T01:28:25.0235528Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_dropout3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.251s)
2022-11-23T01:28:25.0235721Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_dropout_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.520s)
2022-11-23T01:28:25.0235923Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_elu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.180s)
2022-11-23T01:28:25.0236196Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_embedding_bag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.002s)
2022-11-23T01:28:25.0236436Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_embedding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.002s)
2022-11-23T01:28:25.0236692Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_feature_alpha_dropout_with_train_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.741s)
2022-11-23T01:28:25.0236921Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_feature_alpha_dropout_without_train_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.230s)
2022-11-23T01:28:25.0237325Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_fractional_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.007s)
2022-11-23T01:28:25.0237603Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_fractional_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0237851Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_gaussian_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0238087Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_gelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0238320Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_glu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0238558Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_grid_sample_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0238782Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_group_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0239022Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_hardshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0239244Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_hardsigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.038s)
2022-11-23T01:28:25.0239480Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_hardswish_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0239718Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_hardtanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0239969Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0240209Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_huber_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0240449Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_instance_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0240697Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_area_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0240943Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_bicubic_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0241194Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0241491Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_linear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0241736Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_nearest_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0242005Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_trilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0242236Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_kl_div_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0242465Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_l1_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0242696Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_layer_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0242898Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_leaky_relu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.559s)
2022-11-23T01:28:25.0243129Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_linear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0243377Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_local_response_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0243612Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_logsigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0243851Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0244086Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0244318Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0244553Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0244759Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.001s)
2022-11-23T01:28:25.0245001Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool1d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0245216Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:25.0245457Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool2d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0245672Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.001s)
2022-11-23T01:28:25.0245909Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool3d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0246105Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_mish_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.132s)
2022-11-23T01:28:25.0246363Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_mse_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0246601Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_multi_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0246876Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_multilabel_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0247130Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_multilabel_soft_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0247341Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:25.0247564Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_normalize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0247804Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_pad_circular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0248037Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_pad_constant_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0248276Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_pad_reflect_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0248512Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_pad_replicate_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0248751Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_pairwise_distance_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0248977Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_pdist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0249215Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_pixel_shuffle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0249453Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_pixel_unshuffle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0249691Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0249914Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_prelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0250142Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_relu6_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0250359Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_relu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0250559Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_rrelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.088s)
2022-11-23T01:28:25.0250761Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_selu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.124s)
2022-11-23T01:28:25.0250952Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_silu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.115s)
2022-11-23T01:28:25.0251188Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_smooth_l1_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0251453Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_soft_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0251683Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_softmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0251955Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_softmin_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0252190Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_softplus_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0252425Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_softshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0252658Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_softsign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0252892Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_tanhshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0253082Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_threshold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.189s)
2022-11-23T01:28:25.0253325Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_triplet_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0253581Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_triplet_margin_with_distance_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0253814Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_unfold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0254055Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_upsample_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0254299Z   test_make_fx_symbolic_exhaustive_inplace_nn_functional_upsample_nearest_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0254516Z   test_make_fx_symbolic_exhaustive_inplace_nonzero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0254735Z   test_make_fx_symbolic_exhaustive_inplace_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0254950Z   test_make_fx_symbolic_exhaustive_inplace_norm_fro_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0255168Z   test_make_fx_symbolic_exhaustive_inplace_norm_inf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0255384Z   test_make_fx_symbolic_exhaustive_inplace_norm_nuc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0255605Z   test_make_fx_symbolic_exhaustive_inplace_normal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0255823Z   test_make_fx_symbolic_exhaustive_inplace_normal_number_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0256040Z   test_make_fx_symbolic_exhaustive_inplace_ones_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0256286Z   test_make_fx_symbolic_exhaustive_inplace_ones_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0256499Z   test_make_fx_symbolic_exhaustive_inplace_ormqr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0256735Z   test_make_fx_symbolic_exhaustive_inplace_outer_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0256960Z   test_make_fx_symbolic_exhaustive_inplace_pca_lowrank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0257174Z   test_make_fx_symbolic_exhaustive_inplace_permute_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0257389Z   test_make_fx_symbolic_exhaustive_inplace_pinverse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0257601Z   test_make_fx_symbolic_exhaustive_inplace_polar_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0257816Z   test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.057s)
2022-11-23T01:28:25.0258037Z   test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.053s)
2022-11-23T01:28:25.0258245Z   test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.054s)
2022-11-23T01:28:25.0258455Z   test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.054s)
2022-11-23T01:28:25.0258667Z   test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_4_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.054s)
2022-11-23T01:28:25.0258890Z   test_make_fx_symbolic_exhaustive_inplace_positive_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0259071Z   test_make_fx_symbolic_exhaustive_inplace_pow_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.322s)
2022-11-23T01:28:25.0259292Z   test_make_fx_symbolic_exhaustive_inplace_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0259475Z   test_make_fx_symbolic_exhaustive_inplace_put_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.681s)
2022-11-23T01:28:25.0259688Z   test_make_fx_symbolic_exhaustive_inplace_qr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0259909Z   test_make_fx_symbolic_exhaustive_inplace_quantile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0260099Z   test_make_fx_symbolic_exhaustive_inplace_rad2deg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s)
2022-11-23T01:28:25.0260319Z   test_make_fx_symbolic_exhaustive_inplace_rand_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0260528Z   test_make_fx_symbolic_exhaustive_inplace_randint_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0260748Z   test_make_fx_symbolic_exhaustive_inplace_randint_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0260969Z   test_make_fx_symbolic_exhaustive_inplace_randn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0261191Z   test_make_fx_symbolic_exhaustive_inplace_randn_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0261438Z   test_make_fx_symbolic_exhaustive_inplace_ravel_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0261651Z   test_make_fx_symbolic_exhaustive_inplace_real_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0261871Z   test_make_fx_symbolic_exhaustive_inplace_reciprocal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s)
2022-11-23T01:28:25.0262061Z   test_make_fx_symbolic_exhaustive_inplace_remainder_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.320s)
2022-11-23T01:28:25.0262259Z   test_make_fx_symbolic_exhaustive_inplace_renorm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.056s)
2022-11-23T01:28:25.0262478Z   test_make_fx_symbolic_exhaustive_inplace_repeat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0262713Z   test_make_fx_symbolic_exhaustive_inplace_repeat_interleave_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0262924Z   test_make_fx_symbolic_exhaustive_inplace_reshape_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0263145Z   test_make_fx_symbolic_exhaustive_inplace_reshape_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0263346Z   test_make_fx_symbolic_exhaustive_inplace_resize__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.061s)
2022-11-23T01:28:25.0263549Z   test_make_fx_symbolic_exhaustive_inplace_resize_as__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.097s)
2022-11-23T01:28:25.0263773Z   test_make_fx_symbolic_exhaustive_inplace_resolve_conj_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0263998Z   test_make_fx_symbolic_exhaustive_inplace_resolve_neg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0264212Z   test_make_fx_symbolic_exhaustive_inplace_roll_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0264429Z   test_make_fx_symbolic_exhaustive_inplace_rot90_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0264626Z   test_make_fx_symbolic_exhaustive_inplace_round_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.049s)
2022-11-23T01:28:25.0264919Z   test_make_fx_symbolic_exhaustive_inplace_round_decimals_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.037s)
2022-11-23T01:28:25.0265114Z   test_make_fx_symbolic_exhaustive_inplace_round_decimals_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.039s)
2022-11-23T01:28:25.0265331Z   test_make_fx_symbolic_exhaustive_inplace_round_decimals_neg_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.037s)
2022-11-23T01:28:25.0265514Z   test_make_fx_symbolic_exhaustive_inplace_rsqrt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s)
2022-11-23T01:28:25.0265731Z   test_make_fx_symbolic_exhaustive_inplace_rsub_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0265957Z   test_make_fx_symbolic_exhaustive_inplace_scalar_tensor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0266146Z   test_make_fx_symbolic_exhaustive_inplace_scatter_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.505s)
2022-11-23T01:28:25.0266335Z   test_make_fx_symbolic_exhaustive_inplace_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.057s)
2022-11-23T01:28:25.0266577Z   test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.527s)
2022-11-23T01:28:25.0266774Z   test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.500s)
2022-11-23T01:28:25.0266973Z   test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.510s)
2022-11-23T01:28:25.0267193Z   test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.489s)
2022-11-23T01:28:25.0267381Z   test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.513s)
2022-11-23T01:28:25.0267605Z   test_make_fx_symbolic_exhaustive_inplace_searchsorted_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0267843Z   test_make_fx_symbolic_exhaustive_inplace_segment_reduce_lengths_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0268081Z   test_make_fx_symbolic_exhaustive_inplace_segment_reduce_offsets_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0268301Z   test_make_fx_symbolic_exhaustive_inplace_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0268530Z   test_make_fx_symbolic_exhaustive_inplace_select_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0268713Z   test_make_fx_symbolic_exhaustive_inplace_sgn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s)
2022-11-23T01:28:25.0268931Z   test_make_fx_symbolic_exhaustive_inplace_short_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0269116Z   test_make_fx_symbolic_exhaustive_inplace_sigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.101s)
2022-11-23T01:28:25.0269301Z   test_make_fx_symbolic_exhaustive_inplace_sign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s)
2022-11-23T01:28:25.0269524Z   test_make_fx_symbolic_exhaustive_inplace_signal_windows_cosine_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0269762Z   test_make_fx_symbolic_exhaustive_inplace_signal_windows_exponential_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0269994Z   test_make_fx_symbolic_exhaustive_inplace_signal_windows_gaussian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0270223Z   test_make_fx_symbolic_exhaustive_inplace_signal_windows_kaiser_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0270442Z   test_make_fx_symbolic_exhaustive_inplace_signbit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0270621Z   test_make_fx_symbolic_exhaustive_inplace_sin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s)
2022-11-23T01:28:25.0270804Z   test_make_fx_symbolic_exhaustive_inplace_sinc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.122s)
2022-11-23T01:28:25.0270989Z   test_make_fx_symbolic_exhaustive_inplace_sinh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2022-11-23T01:28:25.0271204Z   test_make_fx_symbolic_exhaustive_inplace_slice_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0271430Z   test_make_fx_symbolic_exhaustive_inplace_slice_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0271652Z   test_make_fx_symbolic_exhaustive_inplace_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0271898Z   test_make_fx_symbolic_exhaustive_inplace_softmax_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0272110Z   test_make_fx_symbolic_exhaustive_inplace_sort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0272369Z   test_make_fx_symbolic_exhaustive_inplace_sparse_sampled_addmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0272596Z   test_make_fx_symbolic_exhaustive_inplace_special_airy_ai_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0272826Z   test_make_fx_symbolic_exhaustive_inplace_special_bessel_j0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0273057Z   test_make_fx_symbolic_exhaustive_inplace_special_bessel_j1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0273286Z   test_make_fx_symbolic_exhaustive_inplace_special_bessel_y0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0273515Z   test_make_fx_symbolic_exhaustive_inplace_special_bessel_y1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0273759Z   test_make_fx_symbolic_exhaustive_inplace_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0274000Z   test_make_fx_symbolic_exhaustive_inplace_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0274444Z   test_make_fx_symbolic_exhaustive_inplace_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:28:25.0274839Z   test_make_fx_symbolic_exhaustive_inplace_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:28:25.0275068Z   test_make_fx_symbolic_exhaustive_inplace_special_entr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0275281Z   test_make_fx_symbolic_exhaustive_inplace_special_erfcx_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0275524Z   test_make_fx_symbolic_exhaustive_inplace_special_hermite_polynomial_h_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0275773Z   test_make_fx_symbolic_exhaustive_inplace_special_hermite_polynomial_he_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0275997Z   test_make_fx_symbolic_exhaustive_inplace_special_i0e_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0276223Z   test_make_fx_symbolic_exhaustive_inplace_special_i1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0276448Z   test_make_fx_symbolic_exhaustive_inplace_special_i1e_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0276690Z   test_make_fx_symbolic_exhaustive_inplace_special_laguerre_polynomial_l_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0277576Z   test_make_fx_symbolic_exhaustive_inplace_special_legendre_polynomial_p_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:28:25.0277858Z   test_make_fx_symbolic_exhaustive_inplace_special_log_ndtr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0278130Z   test_make_fx_symbolic_exhaustive_inplace_special_modified_bessel_i0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0278363Z   test_make_fx_symbolic_exhaustive_inplace_special_modified_bessel_i1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0278603Z   test_make_fx_symbolic_exhaustive_inplace_special_modified_bessel_k0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0278841Z   test_make_fx_symbolic_exhaustive_inplace_special_modified_bessel_k1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0279054Z   test_make_fx_symbolic_exhaustive_inplace_special_ndtr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0279277Z   test_make_fx_symbolic_exhaustive_inplace_special_ndtri_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0279531Z   test_make_fx_symbolic_exhaustive_inplace_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0279776Z   test_make_fx_symbolic_exhaustive_inplace_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0280019Z   test_make_fx_symbolic_exhaustive_inplace_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0280446Z   test_make_fx_symbolic_exhaustive_inplace_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:28:25.0280866Z   test_make_fx_symbolic_exhaustive_inplace_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:28:25.0281277Z   test_make_fx_symbolic_exhaustive_inplace_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:28:25.0281689Z   test_make_fx_symbolic_exhaustive_inplace_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:28:25.0281932Z   test_make_fx_symbolic_exhaustive_inplace_special_spherical_bessel_j0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0282160Z   test_make_fx_symbolic_exhaustive_inplace_special_xlog1py_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0282385Z   test_make_fx_symbolic_exhaustive_inplace_special_zeta_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0282606Z   test_make_fx_symbolic_exhaustive_inplace_split_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0282821Z   test_make_fx_symbolic_exhaustive_inplace_split_list_args_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0283047Z   test_make_fx_symbolic_exhaustive_inplace_split_with_sizes_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0283260Z   test_make_fx_symbolic_exhaustive_inplace_sqrt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s)
2022-11-23T01:28:25.0283447Z   test_make_fx_symbolic_exhaustive_inplace_square_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.083s)
2022-11-23T01:28:25.0283633Z   test_make_fx_symbolic_exhaustive_inplace_squeeze_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.413s)
2022-11-23T01:28:25.0283880Z   test_make_fx_symbolic_exhaustive_inplace_stack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0284101Z   test_make_fx_symbolic_exhaustive_inplace_std_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0284322Z   test_make_fx_symbolic_exhaustive_inplace_std_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0284541Z   test_make_fx_symbolic_exhaustive_inplace_stft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0284723Z   test_make_fx_symbolic_exhaustive_inplace_sub_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.382s)
2022-11-23T01:28:25.0284924Z   test_make_fx_symbolic_exhaustive_inplace_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0285148Z   test_make_fx_symbolic_exhaustive_inplace_sum_to_size_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0285359Z   test_make_fx_symbolic_exhaustive_inplace_svd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0285580Z   test_make_fx_symbolic_exhaustive_inplace_svd_lowrank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0285807Z   test_make_fx_symbolic_exhaustive_inplace_symeig_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0286004Z   test_make_fx_symbolic_exhaustive_inplace_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.052s)
2022-11-23T01:28:25.0286233Z   test_make_fx_symbolic_exhaustive_inplace_take_along_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.002s)
2022-11-23T01:28:25.0286449Z   test_make_fx_symbolic_exhaustive_inplace_take_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.002s)
2022-11-23T01:28:25.0286632Z   test_make_fx_symbolic_exhaustive_inplace_tan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.071s)
2022-11-23T01:28:25.0286817Z   test_make_fx_symbolic_exhaustive_inplace_tanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.070s)
2022-11-23T01:28:25.0287042Z   test_make_fx_symbolic_exhaustive_inplace_tensor_split_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.002s)
2022-11-23T01:28:25.0287258Z   test_make_fx_symbolic_exhaustive_inplace_tensordot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.002s)
2022-11-23T01:28:25.0287475Z   test_make_fx_symbolic_exhaustive_inplace_tile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0287688Z   test_make_fx_symbolic_exhaustive_inplace_to_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0287891Z   test_make_fx_symbolic_exhaustive_inplace_to_sparse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.001s)
2022-11-23T01:28:25.0288111Z   test_make_fx_symbolic_exhaustive_inplace_topk_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0288363Z   test_make_fx_symbolic_exhaustive_inplace_trace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0288568Z   test_make_fx_symbolic_exhaustive_inplace_transpose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.067s)
2022-11-23T01:28:25.0288821Z   test_make_fx_symbolic_exhaustive_inplace_trapezoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0289036Z   test_make_fx_symbolic_exhaustive_inplace_trapz_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0289263Z   test_make_fx_symbolic_exhaustive_inplace_triangular_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0289447Z   test_make_fx_symbolic_exhaustive_inplace_tril_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.841s)
2022-11-23T01:28:25.0289620Z   test_make_fx_symbolic_exhaustive_inplace_triu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.824s)
2022-11-23T01:28:25.0289810Z   test_make_fx_symbolic_exhaustive_inplace_true_divide_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.277s)
2022-11-23T01:28:25.0289993Z   test_make_fx_symbolic_exhaustive_inplace_trunc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s)
2022-11-23T01:28:25.0290216Z   test_make_fx_symbolic_exhaustive_inplace_unbind_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0290438Z   test_make_fx_symbolic_exhaustive_inplace_unflatten_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0290659Z   test_make_fx_symbolic_exhaustive_inplace_unfold_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0290875Z   test_make_fx_symbolic_exhaustive_inplace_unfold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0291081Z   test_make_fx_symbolic_exhaustive_inplace_uniform_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.040s)
2022-11-23T01:28:25.0291315Z   test_make_fx_symbolic_exhaustive_inplace_unique_consecutive_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0291537Z   test_make_fx_symbolic_exhaustive_inplace_unique_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0291715Z   test_make_fx_symbolic_exhaustive_inplace_unsqueeze_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.408s)
2022-11-23T01:28:25.0291929Z   test_make_fx_symbolic_exhaustive_inplace_var_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.002s)
2022-11-23T01:28:25.0292150Z   test_make_fx_symbolic_exhaustive_inplace_var_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0292367Z   test_make_fx_symbolic_exhaustive_inplace_vdot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0292596Z   test_make_fx_symbolic_exhaustive_inplace_view_as_complex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0292817Z   test_make_fx_symbolic_exhaustive_inplace_view_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0293039Z   test_make_fx_symbolic_exhaustive_inplace_view_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0293255Z   test_make_fx_symbolic_exhaustive_inplace_view_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0293504Z   test_make_fx_symbolic_exhaustive_inplace_vsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0293719Z   test_make_fx_symbolic_exhaustive_inplace_vstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0293970Z   test_make_fx_symbolic_exhaustive_inplace_where_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0294155Z   test_make_fx_symbolic_exhaustive_inplace_xlogy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.508s)
2022-11-23T01:28:25.0294328Z   test_make_fx_symbolic_exhaustive_inplace_zero__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.090s)
2022-11-23T01:28:25.0294545Z   test_make_fx_symbolic_exhaustive_inplace_zeros_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0294770Z   test_make_fx_symbolic_exhaustive_inplace_zeros_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s)
2022-11-23T01:28:25.0294944Z   test_make_fx_symbolic_exhaustive_int_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.210s)
2022-11-23T01:28:25.0295141Z   test_make_fx_symbolic_exhaustive_isclose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.142s)
2022-11-23T01:28:25.0295321Z   test_make_fx_symbolic_exhaustive_isfinite_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.116s)
2022-11-23T01:28:25.0295510Z   test_make_fx_symbolic_exhaustive_isin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.062s)
2022-11-23T01:28:25.0295688Z   test_make_fx_symbolic_exhaustive_isinf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.058s)
2022-11-23T01:28:25.0295862Z   test_make_fx_symbolic_exhaustive_isnan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2022-11-23T01:28:25.0296031Z   test_make_fx_symbolic_exhaustive_isneginf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2022-11-23T01:28:25.0296211Z   test_make_fx_symbolic_exhaustive_isposinf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s)
2022-11-23T01:28:25.0296389Z   test_make_fx_symbolic_exhaustive_isreal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.059s)
2022-11-23T01:28:25.0296610Z   test_make_fx_symbolic_exhaustive_jiterator_2inputs_2outputs_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T01:28:25.0296832Z   test_make_fx_symbolic_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T01:28:25.0297040Z   test_make_fx_symbolic_exhaustive_jiterator_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T01:28:25.0297262Z   test_make_fx_symbolic_exhaustive_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T01:28:25.0297468Z   test_make_fx_symbolic_exhaustive_jiterator_unary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T01:28:25.0297659Z   test_make_fx_symbolic_exhaustive_kron_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.054s)
2022-11-23T01:28:25.0297857Z   test_make_fx_symbolic_exhaustive_kthvalue_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.032s)
2022-11-23T01:28:25.0298023Z   test_make_fx_symbolic_exhaustive_ldexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.611s)
2022-11-23T01:28:25.0298193Z   test_make_fx_symbolic_exhaustive_le_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.538s)
2022-11-23T01:28:25.0298368Z   test_make_fx_symbolic_exhaustive_lerp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.475s)
2022-11-23T01:28:25.0298545Z   test_make_fx_symbolic_exhaustive_lgamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.059s)
2022-11-23T01:28:25.0298762Z   test_make_fx_symbolic_exhaustive_linalg_cholesky_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.711s)
2022-11-23T01:28:25.0298951Z   test_make_fx_symbolic_exhaustive_linalg_cholesky_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.666s)
2022-11-23T01:28:25.0299150Z   test_make_fx_symbolic_exhaustive_linalg_cond_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.033s)
2022-11-23T01:28:25.0299377Z   test_make_fx_symbolic_exhaustive_linalg_cross_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.057s)
2022-11-23T01:28:25.0299574Z   test_make_fx_symbolic_exhaustive_linalg_det_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s)
2022-11-23T01:28:25.0299780Z   test_make_fx_symbolic_exhaustive_linalg_det_singular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.038s)
2022-11-23T01:28:25.0299967Z   test_make_fx_symbolic_exhaustive_linalg_eig_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.028s)
2022-11-23T01:28:25.0300170Z   test_make_fx_symbolic_exhaustive_linalg_eigh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.041s)
2022-11-23T01:28:25.0300370Z   test_make_fx_symbolic_exhaustive_linalg_eigvals_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.028s)
2022-11-23T01:28:25.0300573Z   test_make_fx_symbolic_exhaustive_linalg_eigvalsh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.038s)
2022-11-23T01:28:25.0300790Z   test_make_fx_symbolic_exhaustive_linalg_householder_product_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.036s)
2022-11-23T01:28:25.0300985Z   test_make_fx_symbolic_exhaustive_linalg_inv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.039s)
2022-11-23T01:28:25.0301182Z   test_make_fx_symbolic_exhaustive_linalg_inv_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.039s)
2022-11-23T01:28:25.0301387Z   test_make_fx_symbolic_exhaustive_linalg_ldl_factor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.039s)
2022-11-23T01:28:25.0301593Z   test_make_fx_symbolic_exhaustive_linalg_ldl_factor_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.038s)
2022-11-23T01:28:25.0301792Z   test_make_fx_symbolic_exhaustive_linalg_ldl_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.082s)
2022-11-23T01:28:25.0301977Z   test_make_fx_symbolic_exhaustive_linalg_lstsq_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.001s)
2022-11-23T01:28:25.0302190Z   test_make_fx_symbolic_exhaustive_linalg_lstsq_grad_oriented_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:25.0302385Z   test_make_fx_symbolic_exhaustive_linalg_lu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.041s)
2022-11-23T01:28:25.0302589Z   test_make_fx_symbolic_exhaustive_linalg_lu_factor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.043s)
2022-11-23T01:28:25.0302798Z   test_make_fx_symbolic_exhaustive_linalg_lu_factor_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.040s)
2022-11-23T01:28:25.0303000Z   test_make_fx_symbolic_exhaustive_linalg_lu_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.076s)
2022-11-23T01:28:25.0303203Z   test_make_fx_symbolic_exhaustive_linalg_matrix_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.201s)
2022-11-23T01:28:25.0303407Z   test_make_fx_symbolic_exhaustive_linalg_matrix_power_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.025s)
2022-11-23T01:28:25.0303605Z   test_make_fx_symbolic_exhaustive_linalg_matrix_rank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.036s)
2022-11-23T01:28:25.0303817Z   test_make_fx_symbolic_exhaustive_linalg_matrix_rank_hermitian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.035s)
2022-11-23T01:28:25.0304044Z   test_make_fx_symbolic_exhaustive_linalg_multi_dot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.043s)
2022-11-23T01:28:25.0304238Z   test_make_fx_symbolic_exhaustive_linalg_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (1.208s)
2022-11-23T01:28:25.0304485Z   test_make_fx_symbolic_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (1.060s)
2022-11-23T01:28:25.0304683Z   test_make_fx_symbolic_exhaustive_linalg_pinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.039s)
2022-11-23T01:28:25.0304970Z   test_make_fx_symbolic_exhaustive_linalg_pinv_hermitian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.038s)
2022-11-23T01:28:25.0305234Z   test_make_fx_symbolic_exhaustive_linalg_pinv_singular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:28:25.0305433Z   test_make_fx_symbolic_exhaustive_linalg_qr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.040s)
2022-11-23T01:28:25.0305634Z   test_make_fx_symbolic_exhaustive_linalg_slogdet_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.027s)
2022-11-23T01:28:25.0305830Z   test_make_fx_symbolic_exhaustive_linalg_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.050s)
2022-11-23T01:28:25.0306035Z   test_make_fx_symbolic_exhaustive_linalg_solve_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.623s)
2022-11-23T01:28:25.0306232Z   test_make_fx_symbolic_exhaustive_linalg_solve_triangular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.042s)
2022-11-23T01:28:25.0306429Z   test_make_fx_symbolic_exhaustive_linalg_svd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s)
2022-11-23T01:28:25.0306630Z   test_make_fx_symbolic_exhaustive_linalg_svdvals_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.044s)
2022-11-23T01:28:25.0306833Z   test_make_fx_symbolic_exhaustive_linalg_tensorinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.077s)
2022-11-23T01:28:25.0307039Z   test_make_fx_symbolic_exhaustive_linalg_tensorsolve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.065s)
2022-11-23T01:28:25.0307239Z   test_make_fx_symbolic_exhaustive_linalg_vander_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.023s)
2022-11-23T01:28:25.0307426Z   test_make_fx_symbolic_exhaustive_linalg_vecdot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.704s)
2022-11-23T01:28:25.0307617Z   test_make_fx_symbolic_exhaustive_linalg_vector_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.861s)
2022-11-23T01:28:25.0307796Z   test_make_fx_symbolic_exhaustive_linspace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.454s)
2022-11-23T01:28:25.0307974Z   test_make_fx_symbolic_exhaustive_log10_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.058s)
2022-11-23T01:28:25.0308133Z   test_make_fx_symbolic_exhaustive_log1p_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s)
2022-11-23T01:28:25.0308307Z   test_make_fx_symbolic_exhaustive_log2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.059s)
2022-11-23T01:28:25.0308483Z   test_make_fx_symbolic_exhaustive_log_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.059s)
2022-11-23T01:28:25.0308665Z   test_make_fx_symbolic_exhaustive_log_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.454s)
2022-11-23T01:28:25.0308858Z   test_make_fx_symbolic_exhaustive_log_softmax_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.552s)
2022-11-23T01:28:25.0309054Z   test_make_fx_symbolic_exhaustive_logaddexp2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.056s)
2022-11-23T01:28:25.0309249Z   test_make_fx_symbolic_exhaustive_logaddexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.056s)
2022-11-23T01:28:25.0309491Z   test_make_fx_symbolic_exhaustive_logcumsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.034s)
2022-11-23T01:28:25.0309683Z   test_make_fx_symbolic_exhaustive_logdet_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.022s)
2022-11-23T01:28:25.0309908Z   test_make_fx_symbolic_exhaustive_logical_and_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.665s)
2022-11-23T01:28:25.0310094Z   test_make_fx_symbolic_exhaustive_logical_not_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.060s)
2022-11-23T01:28:25.0310274Z   test_make_fx_symbolic_exhaustive_logical_or_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.677s)
2022-11-23T01:28:25.0310451Z   test_make_fx_symbolic_exhaustive_logical_xor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.727s)
2022-11-23T01:28:25.0310626Z   test_make_fx_symbolic_exhaustive_logit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.344s)
2022-11-23T01:28:25.0310811Z   test_make_fx_symbolic_exhaustive_logspace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.088s)
2022-11-23T01:28:25.0310995Z   test_make_fx_symbolic_exhaustive_logsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.024s)
2022-11-23T01:28:25.0311169Z   test_make_fx_symbolic_exhaustive_long_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.243s)
2022-11-23T01:28:25.0311345Z   test_make_fx_symbolic_exhaustive_lt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.530s)
2022-11-23T01:28:25.0311533Z   test_make_fx_symbolic_exhaustive_lu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.042s)
2022-11-23T01:28:25.0311713Z   test_make_fx_symbolic_exhaustive_lu_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.083s)
2022-11-23T01:28:25.0311908Z   test_make_fx_symbolic_exhaustive_lu_unpack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.060s)
2022-11-23T01:28:25.0312082Z   test_make_fx_symbolic_exhaustive_mH_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.308s)
2022-11-23T01:28:25.0312256Z   test_make_fx_symbolic_exhaustive_mT_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.323s)
2022-11-23T01:28:25.0312438Z   test_make_fx_symbolic_exhaustive_masked_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (9.028s)
2022-11-23T01:28:25.0312621Z   test_make_fx_symbolic_exhaustive_masked_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (9.513s)
2022-11-23T01:28:25.0312806Z   test_make_fx_symbolic_exhaustive_masked_argmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (5.607s)
2022-11-23T01:28:25.0312991Z   test_make_fx_symbolic_exhaustive_masked_argmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (5.566s)
2022-11-23T01:28:25.0313193Z   test_make_fx_symbolic_exhaustive_masked_cumprod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.053s)
2022-11-23T01:28:25.0313363Z   test_make_fx_symbolic_exhaustive_masked_cumsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.698s)
2022-11-23T01:28:25.0313565Z   test_make_fx_symbolic_exhaustive_masked_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.118s)
2022-11-23T01:28:25.0313756Z   test_make_fx_symbolic_exhaustive_masked_log_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.087s)
2022-11-23T01:28:25.0313965Z   test_make_fx_symbolic_exhaustive_masked_logaddexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.043s)
2022-11-23T01:28:25.0314170Z   test_make_fx_symbolic_exhaustive_masked_logsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.001s)
2022-11-23T01:28:25.0314352Z   test_make_fx_symbolic_exhaustive_masked_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (14.227s)
2022-11-23T01:28:25.0314536Z   test_make_fx_symbolic_exhaustive_masked_median_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.391s)
2022-11-23T01:28:25.0314748Z   test_make_fx_symbolic_exhaustive_masked_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (11.523s)
2022-11-23T01:28:25.0314934Z   test_make_fx_symbolic_exhaustive_masked_normalize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.200s)
2022-11-23T01:28:25.0315115Z   test_make_fx_symbolic_exhaustive_masked_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (9.805s)
2022-11-23T01:28:25.0315330Z   test_make_fx_symbolic_exhaustive_masked_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.073s)
2022-11-23T01:28:25.0315565Z   test_make_fx_symbolic_exhaustive_masked_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.044s)
2022-11-23T01:28:25.0315751Z   test_make_fx_symbolic_exhaustive_masked_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.023s)
2022-11-23T01:28:25.0315935Z   test_make_fx_symbolic_exhaustive_masked_softmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.278s)
2022-11-23T01:28:25.0316119Z   test_make_fx_symbolic_exhaustive_masked_std_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (23.246s)
2022-11-23T01:28:25.0316297Z   test_make_fx_symbolic_exhaustive_masked_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (9.888s)
2022-11-23T01:28:25.0316475Z   test_make_fx_symbolic_exhaustive_masked_var_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (22.456s)
2022-11-23T01:28:25.0316659Z   test_make_fx_symbolic_exhaustive_matmul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.664s)
2022-11-23T01:28:25.0316857Z   test_make_fx_symbolic_exhaustive_matrix_exp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.030s)
2022-11-23T01:28:25.0317022Z   test_make_fx_symbolic_exhaustive_max_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.564s)
2022-11-23T01:28:25.0317353Z   test_make_fx_symbolic_exhaustive_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (1.184s)
2022-11-23T01:28:25.0317548Z   test_make_fx_symbolic_exhaustive_max_reduction_no_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.052s)
2022-11-23T01:28:25.0317740Z   test_make_fx_symbolic_exhaustive_max_reduction_with_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.157s)
2022-11-23T01:28:25.0317919Z   test_make_fx_symbolic_exhaustive_maximum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.583s)
2022-11-23T01:28:25.0318097Z   test_make_fx_symbolic_exhaustive_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.881s)
2022-11-23T01:28:25.0318291Z   test_make_fx_symbolic_exhaustive_median_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.012s)
2022-11-23T01:28:25.0318500Z   test_make_fx_symbolic_exhaustive_meshgrid_list_of_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.020s)
2022-11-23T01:28:25.0318714Z   test_make_fx_symbolic_exhaustive_meshgrid_variadic_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.021s)
2022-11-23T01:28:25.0318896Z   test_make_fx_symbolic_exhaustive_min_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.574s)
2022-11-23T01:28:25.0319074Z   test_make_fx_symbolic_exhaustive_min_reduction_no_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s)
2022-11-23T01:28:25.0319285Z   test_make_fx_symbolic_exhaustive_min_reduction_with_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.047s)
2022-11-23T01:28:25.0319466Z   test_make_fx_symbolic_exhaustive_minimum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.568s)
2022-11-23T01:28:25.0319641Z   test_make_fx_symbolic_exhaustive_mm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.060s)
2022-11-23T01:28:25.0319832Z   test_make_fx_symbolic_exhaustive_mode_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.035s)
2022-11-23T01:28:25.0320011Z   test_make_fx_symbolic_exhaustive_movedim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.175s)
2022-11-23T01:28:25.0320241Z   test_make_fx_symbolic_exhaustive_msort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.182s)
2022-11-23T01:28:25.0320415Z   test_make_fx_symbolic_exhaustive_mul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.586s)
2022-11-23T01:28:25.0320615Z   test_make_fx_symbolic_exhaustive_multinomial_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.023s)
2022-11-23T01:28:25.0320808Z   test_make_fx_symbolic_exhaustive_mv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.064s)
2022-11-23T01:28:25.0321002Z   test_make_fx_symbolic_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.489s)
2022-11-23T01:28:25.0321191Z   test_make_fx_symbolic_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.499s)
2022-11-23T01:28:25.0321385Z   test_make_fx_symbolic_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.489s)
2022-11-23T01:28:25.0321566Z   test_make_fx_symbolic_exhaustive_nan_to_num_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.248s)
2022-11-23T01:28:25.0321743Z   test_make_fx_symbolic_exhaustive_nanmean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.517s)
2022-11-23T01:28:25.0321925Z   test_make_fx_symbolic_exhaustive_nanmedian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.600s)
2022-11-23T01:28:25.0322127Z   test_make_fx_symbolic_exhaustive_nanquantile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.027s)
2022-11-23T01:28:25.0322304Z   test_make_fx_symbolic_exhaustive_nansum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.169s)
2022-11-23T01:28:25.0322486Z   test_make_fx_symbolic_exhaustive_narrow_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.360s)
2022-11-23T01:28:25.0322665Z   test_make_fx_symbolic_exhaustive_narrow_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.146s)
2022-11-23T01:28:25.0322854Z   test_make_fx_symbolic_exhaustive_native_batch_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.900s)
2022-11-23T01:28:25.0323052Z   test_make_fx_symbolic_exhaustive_native_dropout_backward_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.718s)
2022-11-23T01:28:25.0323238Z   test_make_fx_symbolic_exhaustive_native_layer_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.653s)
2022-11-23T01:28:25.0323414Z   test_make_fx_symbolic_exhaustive_ne_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.557s)
2022-11-23T01:28:25.0323586Z   test_make_fx_symbolic_exhaustive_neg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s)
2022-11-23T01:28:25.0323778Z   test_make_fx_symbolic_exhaustive_new_empty_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:25.0324018Z   test_make_fx_symbolic_exhaustive_new_empty_strided_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s)
2022-11-23T01:28:25.0324199Z   test_make_fx_symbolic_exhaustive_new_full_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.165s)
2022-11-23T01:28:25.0324366Z   test_make_fx_symbolic_exhaustive_new_ones_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.159s)
2022-11-23T01:28:25.0324544Z   test_make_fx_symbolic_exhaustive_new_zeros_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.175s)
2022-11-23T01:28:25.0324726Z   test_make_fx_symbolic_exhaustive_nextafter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.560s)
2022-11-23T01:28:25.0324956Z   test_make_fx_symbolic_exhaustive_nn_functional__scaled_dot_product_attention_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:25.0325162Z   test_make_fx_symbolic_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.403s)
2022-11-23T01:28:25.0325363Z   test_make_fx_symbolic_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.648s)
2022-11-23T01:28:25.0325592Z   test_make_fx_symbolic_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.974s)
2022-11-23T01:28:25.0325812Z   test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.068s)
2022-11-23T01:28:25.0326062Z   test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.060s)
2022-11-23T01:28:25.0326277Z   test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.084s)
2022-11-23T01:28:25.0326477Z   test_make_fx_symbolic_exhaustive_nn_functional_alpha_dropout_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.540s)
2022-11-23T01:28:25.0326660Z   test_make_fx_symbolic_exhaustive_nn_functional_avg_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.398s)
2022-11-23T01:28:25.0326857Z   test_make_fx_symbolic_exhaustive_nn_functional_avg_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.389s)
2022-11-23T01:28:25.0327069Z   test_make_fx_symbolic_exhaustive_nn_functional_avg_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.098s)
2022-11-23T01:28:25.0327276Z   test_make_fx_symbolic_exhaustive_nn_functional_batch_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:25.0327489Z   test_make_fx_symbolic_exhaustive_nn_functional_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.087s)
2022-11-23T01:28:25.0327706Z   test_make_fx_symbolic_exhaustive_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.852s)
2022-11-23T01:28:25.0327920Z   test_make_fx_symbolic_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (4.663s)
2022-11-23T01:28:25.0328110Z   test_make_fx_symbolic_exhaustive_nn_functional_celu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.096s)
2022-11-23T01:28:25.0328299Z   test_make_fx_symbolic_exhaustive_nn_functional_conv1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.260s)
2022-11-23T01:28:25.0328491Z   test_make_fx_symbolic_exhaustive_nn_functional_conv2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (13.616s)
2022-11-23T01:28:25.0328684Z   test_make_fx_symbolic_exhaustive_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.082s)
2022-11-23T01:28:25.0328886Z   test_make_fx_symbolic_exhaustive_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.099s)
2022-11-23T01:28:25.0329089Z   test_make_fx_symbolic_exhaustive_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (4.679s)
2022-11-23T01:28:25.0329296Z   test_make_fx_symbolic_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.075s)
2022-11-23T01:28:25.0329513Z   test_make_fx_symbolic_exhaustive_nn_functional_cosine_similarity_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.056s)
2022-11-23T01:28:25.0329726Z   test_make_fx_symbolic_exhaustive_nn_functional_cross_entropy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.192s)
2022-11-23T01:28:25.0329963Z   test_make_fx_symbolic_exhaustive_nn_functional_ctc_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.081s)
2022-11-23T01:28:25.0330991Z   test_make_fx_symbolic_exhaustive_nn_functional_dropout2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2022-11-23T01:28:25.0331266Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2022-11-23T01:28:25.0332123Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2022-11-23T01:28:25.0332365Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2022-11-23T01:28:25.0333176Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2022-11-23T01:28:25.0333418Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2022-11-23T01:28:25.0334228Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2022-11-23T01:28:25.0334467Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2022-11-23T01:28:25.0335286Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2022-11-23T01:28:25.0335524Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2022-11-23T01:28:25.0336330Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2022-11-23T01:28:25.0336567Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2022-11-23T01:28:25.0336633Z ok (0.842s)
2022-11-23T01:28:25.0336823Z   test_make_fx_symbolic_exhaustive_nn_functional_dropout3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.270s)
2022-11-23T01:28:25.0337017Z   test_make_fx_symbolic_exhaustive_nn_functional_dropout_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.500s)
2022-11-23T01:28:25.0337206Z   test_make_fx_symbolic_exhaustive_nn_functional_elu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.131s)
2022-11-23T01:28:25.0337420Z   test_make_fx_symbolic_exhaustive_nn_functional_embedding_bag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.728s)
2022-11-23T01:28:25.0337660Z   test_make_fx_symbolic_exhaustive_nn_functional_embedding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.287s)
2022-11-23T01:28:25.0337880Z   test_make_fx_symbolic_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.685s)
2022-11-23T01:28:25.0338125Z   test_make_fx_symbolic_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.196s)
2022-11-23T01:28:25.0338350Z   test_make_fx_symbolic_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.099s)
2022-11-23T01:28:25.0338570Z   test_make_fx_symbolic_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.104s)
2022-11-23T01:28:25.0338786Z   test_make_fx_symbolic_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.059s)
2022-11-23T01:28:25.0338966Z   test_make_fx_symbolic_exhaustive_nn_functional_gelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.679s)
2022-11-23T01:28:25.0339155Z   test_make_fx_symbolic_exhaustive_nn_functional_glu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (10.637s)
2022-11-23T01:28:25.0339369Z   test_make_fx_symbolic_exhaustive_nn_functional_grid_sample_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (70.623s)
2022-11-23T01:28:25.0339568Z   test_make_fx_symbolic_exhaustive_nn_functional_group_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (4.406s)
2022-11-23T01:28:25.0339764Z   test_make_fx_symbolic_exhaustive_nn_functional_hardshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.341s)
2022-11-23T01:28:25.0339963Z   test_make_fx_symbolic_exhaustive_nn_functional_hardsigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.175s)
2022-11-23T01:28:25.0340158Z   test_make_fx_symbolic_exhaustive_nn_functional_hardswish_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.491s)
2022-11-23T01:28:25.0340352Z   test_make_fx_symbolic_exhaustive_nn_functional_hardtanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.448s)
2022-11-23T01:28:25.0340559Z   test_make_fx_symbolic_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.657s)
2022-11-23T01:28:25.0340753Z   test_make_fx_symbolic_exhaustive_nn_functional_huber_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.996s)
2022-11-23T01:28:25.0340937Z   test_make_fx_symbolic_exhaustive_nn_functional_instance_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.330s)
2022-11-23T01:28:25.0341156Z   test_make_fx_symbolic_exhaustive_nn_functional_interpolate_area_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.215s)
2022-11-23T01:28:25.0341378Z   test_make_fx_symbolic_exhaustive_nn_functional_interpolate_bicubic_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.077s)
2022-11-23T01:28:25.0341589Z   test_make_fx_symbolic_exhaustive_nn_functional_interpolate_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (9.631s)
2022-11-23T01:28:25.0341808Z   test_make_fx_symbolic_exhaustive_nn_functional_interpolate_linear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.051s)
2022-11-23T01:28:25.0342034Z   test_make_fx_symbolic_exhaustive_nn_functional_interpolate_nearest_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.051s)
2022-11-23T01:28:25.0342258Z   test_make_fx_symbolic_exhaustive_nn_functional_interpolate_trilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.084s)
2022-11-23T01:28:25.0343035Z   test_make_fx_symbolic_exhaustive_nn_functional_kl_div_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T01:28:25.0343296Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2022-11-23T01:28:25.0343924Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T01:28:25.0344144Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2022-11-23T01:28:25.0344734Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T01:28:25.0345044Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2022-11-23T01:28:25.0345653Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T01:28:25.0345856Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2022-11-23T01:28:25.0345924Z ok (1.541s)
2022-11-23T01:28:25.0346120Z   test_make_fx_symbolic_exhaustive_nn_functional_l1_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.383s)
2022-11-23T01:28:25.0346318Z   test_make_fx_symbolic_exhaustive_nn_functional_layer_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.550s)
2022-11-23T01:28:25.0346515Z   test_make_fx_symbolic_exhaustive_nn_functional_leaky_relu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.537s)
2022-11-23T01:28:25.0346706Z   test_make_fx_symbolic_exhaustive_nn_functional_linear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.630s)
2022-11-23T01:28:25.0346911Z   test_make_fx_symbolic_exhaustive_nn_functional_local_response_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.961s)
2022-11-23T01:28:25.0347107Z   test_make_fx_symbolic_exhaustive_nn_functional_logsigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.198s)
2022-11-23T01:28:25.0347310Z   test_make_fx_symbolic_exhaustive_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.964s)
2022-11-23T01:28:25.0347520Z   test_make_fx_symbolic_exhaustive_nn_functional_max_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.324s)
2022-11-23T01:28:25.0347702Z   test_make_fx_symbolic_exhaustive_nn_functional_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (26.897s)
2022-11-23T01:28:25.0347912Z   test_make_fx_symbolic_exhaustive_nn_functional_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.088s)
2022-11-23T01:28:25.0348128Z   test_make_fx_symbolic_exhaustive_nn_functional_max_unpool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:25.0348349Z   test_make_fx_symbolic_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.111s)
2022-11-23T01:28:25.0348556Z   test_make_fx_symbolic_exhaustive_nn_functional_max_unpool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.001s)
2022-11-23T01:28:25.0348775Z   test_make_fx_symbolic_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.163s)
2022-11-23T01:28:25.0348980Z   test_make_fx_symbolic_exhaustive_nn_functional_max_unpool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.001s)
2022-11-23T01:28:25.0349229Z   test_make_fx_symbolic_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.159s)
2022-11-23T01:28:25.0349420Z   test_make_fx_symbolic_exhaustive_nn_functional_mish_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.134s)
2022-11-23T01:28:25.0349642Z   test_make_fx_symbolic_exhaustive_nn_functional_mse_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.350s)
2022-11-23T01:28:25.0349844Z   test_make_fx_symbolic_exhaustive_nn_functional_multi_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.019s)
2022-11-23T01:28:25.0350068Z   test_make_fx_symbolic_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.019s)
2022-11-23T01:28:25.0350280Z   test_make_fx_symbolic_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.890s)
2022-11-23T01:28:25.0350489Z   test_make_fx_symbolic_exhaustive_nn_functional_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:25.0350683Z   test_make_fx_symbolic_exhaustive_nn_functional_normalize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.898s)
2022-11-23T01:28:25.0350885Z   test_make_fx_symbolic_exhaustive_nn_functional_pad_circular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.360s)
2022-11-23T01:28:25.0351082Z   test_make_fx_symbolic_exhaustive_nn_functional_pad_constant_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (5.905s)
2022-11-23T01:28:25.0351294Z   test_make_fx_symbolic_exhaustive_nn_functional_pad_reflect_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.043s)
2022-11-23T01:28:25.0351509Z   test_make_fx_symbolic_exhaustive_nn_functional_pad_replicate_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.040s)
2022-11-23T01:28:25.0351713Z   test_make_fx_symbolic_exhaustive_nn_functional_pairwise_distance_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.526s)
2022-11-23T01:28:25.0351908Z   test_make_fx_symbolic_exhaustive_nn_functional_pdist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.035s)
2022-11-23T01:28:25.0352122Z   test_make_fx_symbolic_exhaustive_nn_functional_pixel_shuffle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.080s)
2022-11-23T01:28:25.0352337Z   test_make_fx_symbolic_exhaustive_nn_functional_pixel_unshuffle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.063s)
2022-11-23T01:28:25.0352536Z   test_make_fx_symbolic_exhaustive_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (10.904s)
2022-11-23T01:28:25.0352731Z   test_make_fx_symbolic_exhaustive_nn_functional_prelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.412s)
2022-11-23T01:28:25.0352920Z   test_make_fx_symbolic_exhaustive_nn_functional_relu6_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.180s)
2022-11-23T01:28:25.0353108Z   test_make_fx_symbolic_exhaustive_nn_functional_relu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.180s)
2022-11-23T01:28:25.0353312Z   test_make_fx_symbolic_exhaustive_nn_functional_rrelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.034s)
2022-11-23T01:28:25.0353502Z   test_make_fx_symbolic_exhaustive_nn_functional_selu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.141s)
2022-11-23T01:28:25.0353683Z   test_make_fx_symbolic_exhaustive_nn_functional_silu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.121s)
2022-11-23T01:28:25.0353880Z   test_make_fx_symbolic_exhaustive_nn_functional_smooth_l1_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.033s)
2022-11-23T01:28:25.0354081Z   test_make_fx_symbolic_exhaustive_nn_functional_soft_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.391s)
2022-11-23T01:28:25.0354302Z   test_make_fx_symbolic_exhaustive_nn_functional_softmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.505s)
2022-11-23T01:28:25.0354506Z   test_make_fx_symbolic_exhaustive_nn_functional_softmin_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.585s)
2022-11-23T01:28:25.0354699Z   test_make_fx_symbolic_exhaustive_nn_functional_softplus_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.132s)
2022-11-23T01:28:25.0354921Z   test_make_fx_symbolic_exhaustive_nn_functional_softshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.402s)
2022-11-23T01:28:25.0355116Z   test_make_fx_symbolic_exhaustive_nn_functional_softsign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.124s)
2022-11-23T01:28:25.0355310Z   test_make_fx_symbolic_exhaustive_nn_functional_tanhshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.108s)
2022-11-23T01:28:25.0355504Z   test_make_fx_symbolic_exhaustive_nn_functional_threshold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.172s)
2022-11-23T01:28:25.0355708Z   test_make_fx_symbolic_exhaustive_nn_functional_triplet_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.553s)
2022-11-23T01:28:25.0355926Z   test_make_fx_symbolic_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.531s)
2022-11-23T01:28:25.0356108Z   test_make_fx_symbolic_exhaustive_nn_functional_unfold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (16.121s)
2022-11-23T01:28:25.0356678Z   test_make_fx_symbolic_exhaustive_nn_functional_upsample_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4074: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:28:25.0356876Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:28:25.0357360Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4074: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:28:25.0357557Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:28:25.0357931Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4074: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:28:25.0358124Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:28:25.0358494Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4074: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:28:25.0358688Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:28:25.0358754Z ok (3.580s)
2022-11-23T01:28:25.0359306Z   test_make_fx_symbolic_exhaustive_nn_functional_upsample_nearest_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:28:25.0359501Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:28:25.0359584Z expected failure (0.061s)
2022-11-23T01:28:25.0359812Z   test_make_fx_symbolic_exhaustive_nonzero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.016s)
2022-11-23T01:28:25.0359992Z   test_make_fx_symbolic_exhaustive_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.280s)
2022-11-23T01:28:25.0360172Z   test_make_fx_symbolic_exhaustive_norm_fro_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.143s)
2022-11-23T01:28:25.0360349Z   test_make_fx_symbolic_exhaustive_norm_inf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.176s)
2022-11-23T01:28:25.0360597Z   test_make_fx_symbolic_exhaustive_norm_nuc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.053s)
2022-11-23T01:28:25.0360791Z   test_make_fx_symbolic_exhaustive_normal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.031s)
2022-11-23T01:28:25.0361029Z   test_make_fx_symbolic_exhaustive_normal_number_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.046s)
2022-11-23T01:28:25.0361193Z   test_make_fx_symbolic_exhaustive_ones_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s)
2022-11-23T01:28:25.0361374Z   test_make_fx_symbolic_exhaustive_ones_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.222s)
2022-11-23T01:28:25.0361564Z   test_make_fx_symbolic_exhaustive_ormqr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.071s)
2022-11-23T01:28:25.0361756Z   test_make_fx_symbolic_exhaustive_outer_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.043s)
2022-11-23T01:28:25.0361955Z   test_make_fx_symbolic_exhaustive_pca_lowrank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.060s)
2022-11-23T01:28:25.0362136Z   test_make_fx_symbolic_exhaustive_permute_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.278s)
2022-11-23T01:28:25.0362331Z   test_make_fx_symbolic_exhaustive_pinverse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.050s)
2022-11-23T01:28:25.0362527Z   test_make_fx_symbolic_exhaustive_polar_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.018s)
2022-11-23T01:28:25.0362740Z   test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.045s)
2022-11-23T01:28:25.0362938Z   test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.045s)
2022-11-23T01:28:25.0363147Z   test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.045s)
2022-11-23T01:28:25.0363360Z   test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.044s)
2022-11-23T01:28:25.0363566Z   test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_4_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.044s)
2022-11-23T01:28:25.0363752Z   test_make_fx_symbolic_exhaustive_positive_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s)
2022-11-23T01:28:25.0363927Z   test_make_fx_symbolic_exhaustive_pow_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.567s)
2022-11-23T01:28:25.0364102Z   test_make_fx_symbolic_exhaustive_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.431s)
2022-11-23T01:28:25.0364276Z   test_make_fx_symbolic_exhaustive_put_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.710s)
2022-11-23T01:28:25.0364463Z   test_make_fx_symbolic_exhaustive_qr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.046s)
2022-11-23T01:28:25.0364659Z   test_make_fx_symbolic_exhaustive_quantile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.031s)
2022-11-23T01:28:25.0364824Z   test_make_fx_symbolic_exhaustive_rad2deg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s)
2022-11-23T01:28:25.0365006Z   test_make_fx_symbolic_exhaustive_rand_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.203s)
2022-11-23T01:28:25.0365184Z   test_make_fx_symbolic_exhaustive_randint_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.423s)
2022-11-23T01:28:25.0365367Z   test_make_fx_symbolic_exhaustive_randint_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.419s)
2022-11-23T01:28:25.0365543Z   test_make_fx_symbolic_exhaustive_randn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2022-11-23T01:28:25.0365722Z   test_make_fx_symbolic_exhaustive_randn_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.224s)
2022-11-23T01:28:25.0365924Z   test_make_fx_symbolic_exhaustive_ravel_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.238s)
2022-11-23T01:28:25.0366099Z   test_make_fx_symbolic_exhaustive_real_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s)
2022-11-23T01:28:25.0366281Z   test_make_fx_symbolic_exhaustive_reciprocal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.073s)
2022-11-23T01:28:25.0366477Z   test_make_fx_symbolic_exhaustive_remainder_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.558s)
2022-11-23T01:28:25.0366672Z   test_make_fx_symbolic_exhaustive_renorm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.051s)
2022-11-23T01:28:25.0366847Z   test_make_fx_symbolic_exhaustive_repeat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.988s)
2022-11-23T01:28:25.0367086Z   test_make_fx_symbolic_exhaustive_repeat_interleave_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.027s)
2022-11-23T01:28:25.0367288Z   test_make_fx_symbolic_exhaustive_reshape_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.065s)
2022-11-23T01:28:25.0367466Z   test_make_fx_symbolic_exhaustive_reshape_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.877s)
2022-11-23T01:28:25.0367660Z   test_make_fx_symbolic_exhaustive_resize__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.070s)
2022-11-23T01:28:25.0367858Z   test_make_fx_symbolic_exhaustive_resize_as__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.087s)
2022-11-23T01:28:25.0368047Z   test_make_fx_symbolic_exhaustive_resolve_conj_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2022-11-23T01:28:25.0368230Z   test_make_fx_symbolic_exhaustive_resolve_neg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s)
2022-11-23T01:28:25.0368408Z   test_make_fx_symbolic_exhaustive_roll_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.449s)
2022-11-23T01:28:25.0368588Z   test_make_fx_symbolic_exhaustive_rot90_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.183s)
2022-11-23T01:28:25.0368763Z   test_make_fx_symbolic_exhaustive_round_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.052s)
2022-11-23T01:28:25.0368952Z   test_make_fx_symbolic_exhaustive_round_decimals_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s)
2022-11-23T01:28:25.0369142Z   test_make_fx_symbolic_exhaustive_round_decimals_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.070s)
2022-11-23T01:28:25.0369329Z   test_make_fx_symbolic_exhaustive_round_decimals_neg_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.068s)
2022-11-23T01:28:25.0369503Z   test_make_fx_symbolic_exhaustive_rsqrt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.074s)
2022-11-23T01:28:25.0369675Z   test_make_fx_symbolic_exhaustive_rsub_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.720s)
2022-11-23T01:28:25.0369859Z   test_make_fx_symbolic_exhaustive_scalar_tensor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2022-11-23T01:28:25.0370029Z   test_make_fx_symbolic_exhaustive_scatter_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.504s)
2022-11-23T01:28:25.0370209Z   test_make_fx_symbolic_exhaustive_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.509s)
2022-11-23T01:28:25.0370400Z   test_make_fx_symbolic_exhaustive_scatter_reduce_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.916s)
2022-11-23T01:28:25.0370593Z   test_make_fx_symbolic_exhaustive_scatter_reduce_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.466s)
2022-11-23T01:28:25.0370783Z   test_make_fx_symbolic_exhaustive_scatter_reduce_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.506s)
2022-11-23T01:28:25.0370972Z   test_make_fx_symbolic_exhaustive_scatter_reduce_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.441s)
2022-11-23T01:28:25.0371195Z   test_make_fx_symbolic_exhaustive_scatter_reduce_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.458s)
2022-11-23T01:28:25.0371396Z   test_make_fx_symbolic_exhaustive_searchsorted_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.024s)
2022-11-23T01:28:25.0371606Z   test_make_fx_symbolic_exhaustive_segment_reduce_lengths_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.039s)
2022-11-23T01:28:25.0371843Z   test_make_fx_symbolic_exhaustive_segment_reduce_offsets_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.038s)
2022-11-23T01:28:25.0372009Z   test_make_fx_symbolic_exhaustive_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.307s)
2022-11-23T01:28:25.0372195Z   test_make_fx_symbolic_exhaustive_select_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.310s)
2022-11-23T01:28:25.0372370Z   test_make_fx_symbolic_exhaustive_sgn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s)
2022-11-23T01:28:25.0372546Z   test_make_fx_symbolic_exhaustive_short_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.269s)
2022-11-23T01:28:25.0372724Z   test_make_fx_symbolic_exhaustive_sigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.117s)
2022-11-23T01:28:25.0372897Z   test_make_fx_symbolic_exhaustive_sign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.055s)
2022-11-23T01:28:25.0373091Z   test_make_fx_symbolic_exhaustive_signal_windows_cosine_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.292s)
2022-11-23T01:28:25.0373290Z   test_make_fx_symbolic_exhaustive_signal_windows_exponential_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.290s)
2022-11-23T01:28:25.0373482Z   test_make_fx_symbolic_exhaustive_signal_windows_gaussian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.263s)
2022-11-23T01:28:25.0373661Z   test_make_fx_symbolic_exhaustive_signal_windows_kaiser_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.335s)
2022-11-23T01:28:25.0373840Z   test_make_fx_symbolic_exhaustive_signbit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s)
2022-11-23T01:28:25.0374011Z   test_make_fx_symbolic_exhaustive_sin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s)
2022-11-23T01:28:25.0374187Z   test_make_fx_symbolic_exhaustive_sinc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.139s)
2022-11-23T01:28:25.0374362Z   test_make_fx_symbolic_exhaustive_sinh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.044s)
2022-11-23T01:28:25.0374538Z   test_make_fx_symbolic_exhaustive_slice_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.397s)
2022-11-23T01:28:25.0374721Z   test_make_fx_symbolic_exhaustive_slice_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.776s)
2022-11-23T01:28:25.0374896Z   test_make_fx_symbolic_exhaustive_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.476s)
2022-11-23T01:28:25.0375082Z   test_make_fx_symbolic_exhaustive_softmax_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.542s)
2022-11-23T01:28:25.0375244Z   test_make_fx_symbolic_exhaustive_sort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (4.030s)
2022-11-23T01:28:25.0375452Z   test_make_fx_symbolic_exhaustive_sparse_sampled_addmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.002s)
2022-11-23T01:28:25.0375655Z   test_make_fx_symbolic_exhaustive_special_airy_ai_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.042s)
2022-11-23T01:28:25.0375843Z   test_make_fx_symbolic_exhaustive_special_bessel_j0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.076s)
2022-11-23T01:28:25.0376029Z   test_make_fx_symbolic_exhaustive_special_bessel_j1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.077s)
2022-11-23T01:28:25.0376232Z   test_make_fx_symbolic_exhaustive_special_bessel_y0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.039s)
2022-11-23T01:28:25.0376431Z   test_make_fx_symbolic_exhaustive_special_bessel_y1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.041s)
2022-11-23T01:28:25.0376683Z   test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.033s)
2022-11-23T01:28:25.0376903Z   test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.033s)
2022-11-23T01:28:25.0377337Z   test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:28:25.0377737Z   test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:28:25.0377909Z   test_make_fx_symbolic_exhaustive_special_entr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.102s)
2022-11-23T01:28:25.0378094Z   test_make_fx_symbolic_exhaustive_special_erfcx_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.086s)
2022-11-23T01:28:25.0378309Z   test_make_fx_symbolic_exhaustive_special_hermite_polynomial_h_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.031s)
2022-11-23T01:28:25.0378526Z   test_make_fx_symbolic_exhaustive_special_hermite_polynomial_he_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.032s)
2022-11-23T01:28:25.0378712Z   test_make_fx_symbolic_exhaustive_special_i0e_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s)
2022-11-23T01:28:25.0378891Z   test_make_fx_symbolic_exhaustive_special_i1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s)
2022-11-23T01:28:25.0379073Z   test_make_fx_symbolic_exhaustive_special_i1e_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.052s)
2022-11-23T01:28:25.0379292Z   test_make_fx_symbolic_exhaustive_special_laguerre_polynomial_l_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.034s)
2022-11-23T01:28:25.0379686Z   test_make_fx_symbolic_exhaustive_special_legendre_polynomial_p_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:28:25.0379876Z   test_make_fx_symbolic_exhaustive_special_log_ndtr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.209s)
2022-11-23T01:28:25.0380078Z   test_make_fx_symbolic_exhaustive_special_modified_bessel_i0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.041s)
2022-11-23T01:28:25.0380289Z   test_make_fx_symbolic_exhaustive_special_modified_bessel_i1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.053s)
2022-11-23T01:28:25.0380497Z   test_make_fx_symbolic_exhaustive_special_modified_bessel_k0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.055s)
2022-11-23T01:28:25.0380710Z   test_make_fx_symbolic_exhaustive_special_modified_bessel_k1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.041s)
2022-11-23T01:28:25.0380896Z   test_make_fx_symbolic_exhaustive_special_ndtr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.136s)
2022-11-23T01:28:25.0381081Z   test_make_fx_symbolic_exhaustive_special_ndtri_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.079s)
2022-11-23T01:28:25.0381316Z   test_make_fx_symbolic_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.049s)
2022-11-23T01:28:25.0381541Z   test_make_fx_symbolic_exhaustive_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.051s)
2022-11-23T01:28:25.0381756Z   test_make_fx_symbolic_exhaustive_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.041s)
2022-11-23T01:28:25.0382161Z   test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:28:25.0382600Z   test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:28:25.0383025Z   test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:28:25.0383432Z   test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:28:25.0383635Z   test_make_fx_symbolic_exhaustive_special_spherical_bessel_j0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.083s)
2022-11-23T01:28:25.0383822Z   test_make_fx_symbolic_exhaustive_special_xlog1py_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.967s)
2022-11-23T01:28:25.0384010Z   test_make_fx_symbolic_exhaustive_special_zeta_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.591s)
2022-11-23T01:28:25.0384188Z   test_make_fx_symbolic_exhaustive_split_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.285s)
2022-11-23T01:28:25.0384373Z   test_make_fx_symbolic_exhaustive_split_list_args_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.702s)
2022-11-23T01:28:25.0384560Z   test_make_fx_symbolic_exhaustive_split_with_sizes_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.645s)
2022-11-23T01:28:25.0384733Z   test_make_fx_symbolic_exhaustive_sqrt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s)
2022-11-23T01:28:25.0384979Z   test_make_fx_symbolic_exhaustive_square_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.087s)
2022-11-23T01:28:25.0385147Z   test_make_fx_symbolic_exhaustive_squeeze_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.364s)
2022-11-23T01:28:25.0385326Z   test_make_fx_symbolic_exhaustive_stack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.902s)
2022-11-23T01:28:25.0385498Z   test_make_fx_symbolic_exhaustive_std_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.528s)
2022-11-23T01:28:25.0385678Z   test_make_fx_symbolic_exhaustive_std_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.581s)
2022-11-23T01:28:25.0385871Z   test_make_fx_symbolic_exhaustive_stft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.052s)
2022-11-23T01:28:25.0386045Z   test_make_fx_symbolic_exhaustive_sub_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.736s)
2022-11-23T01:28:25.0386217Z   test_make_fx_symbolic_exhaustive_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.863s)
2022-11-23T01:28:25.0386413Z   test_make_fx_symbolic_exhaustive_sum_to_size_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.028s)
2022-11-23T01:28:25.0386606Z   test_make_fx_symbolic_exhaustive_svd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.034s)
2022-11-23T01:28:25.0386792Z   test_make_fx_symbolic_exhaustive_svd_lowrank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.064s)
2022-11-23T01:28:25.0386987Z   test_make_fx_symbolic_exhaustive_symeig_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.057s)
2022-11-23T01:28:25.0387166Z   test_make_fx_symbolic_exhaustive_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.098s)
2022-11-23T01:28:25.0387367Z   test_make_fx_symbolic_exhaustive_take_along_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.065s)
2022-11-23T01:28:25.0387559Z   test_make_fx_symbolic_exhaustive_take_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.048s)
2022-11-23T01:28:25.0387731Z   test_make_fx_symbolic_exhaustive_tan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.066s)
2022-11-23T01:28:25.0387905Z   test_make_fx_symbolic_exhaustive_tanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s)
2022-11-23T01:28:25.0388139Z   test_make_fx_symbolic_exhaustive_tensor_split_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.063s)
2022-11-23T01:28:25.0388334Z   test_make_fx_symbolic_exhaustive_tensordot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.074s)
2022-11-23T01:28:25.0388532Z   test_make_fx_symbolic_exhaustive_tile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.512s)
2022-11-23T01:28:25.0388708Z   test_make_fx_symbolic_exhaustive_to_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:25.0388905Z   test_make_fx_symbolic_exhaustive_to_sparse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s)
2022-11-23T01:28:25.0389077Z   test_make_fx_symbolic_exhaustive_topk_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.689s)
2022-11-23T01:28:25.0389252Z   test_make_fx_symbolic_exhaustive_trace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.050s)
2022-11-23T01:28:25.0389434Z   test_make_fx_symbolic_exhaustive_transpose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.344s)
2022-11-23T01:28:25.0389628Z   test_make_fx_symbolic_exhaustive_trapezoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.062s)
2022-11-23T01:28:25.0389818Z   test_make_fx_symbolic_exhaustive_trapz_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.063s)
2022-11-23T01:28:25.0390024Z   test_make_fx_symbolic_exhaustive_triangular_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.061s)
2022-11-23T01:28:25.0390198Z   test_make_fx_symbolic_exhaustive_tril_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.807s)
2022-11-23T01:28:25.0390358Z   test_make_fx_symbolic_exhaustive_triu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.792s)
2022-11-23T01:28:25.0390540Z   test_make_fx_symbolic_exhaustive_true_divide_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.676s)
2022-11-23T01:28:25.0390717Z   test_make_fx_symbolic_exhaustive_trunc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s)
2022-11-23T01:28:25.0390894Z   test_make_fx_symbolic_exhaustive_unbind_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.747s)
2022-11-23T01:28:25.0391089Z   test_make_fx_symbolic_exhaustive_unflatten_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.038s)
2022-11-23T01:28:25.0391275Z   test_make_fx_symbolic_exhaustive_unfold_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.287s)
2022-11-23T01:28:25.0391452Z   test_make_fx_symbolic_exhaustive_unfold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.105s)
2022-11-23T01:28:25.0391645Z   test_make_fx_symbolic_exhaustive_uniform_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.042s)
2022-11-23T01:28:25.0391882Z   test_make_fx_symbolic_exhaustive_unique_consecutive_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.016s)
2022-11-23T01:28:25.0392108Z   test_make_fx_symbolic_exhaustive_unique_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.015s)
2022-11-23T01:28:25.0392275Z   test_make_fx_symbolic_exhaustive_unsqueeze_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.373s)
2022-11-23T01:28:25.0392450Z   test_make_fx_symbolic_exhaustive_var_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.535s)
2022-11-23T01:28:25.0392630Z   test_make_fx_symbolic_exhaustive_var_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.557s)
2022-11-23T01:28:25.0392803Z   test_make_fx_symbolic_exhaustive_vdot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s)
2022-11-23T01:28:25.0392990Z   test_make_fx_symbolic_exhaustive_view_as_complex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s)
2022-11-23T01:28:25.0393183Z   test_make_fx_symbolic_exhaustive_view_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.067s)
2022-11-23T01:28:25.0393391Z   test_make_fx_symbolic_exhaustive_view_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.747s)
2022-11-23T01:28:25.0393563Z   test_make_fx_symbolic_exhaustive_view_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.631s)
2022-11-23T01:28:25.0393757Z   test_make_fx_symbolic_exhaustive_vsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.048s)
2022-11-23T01:28:25.0393945Z   test_make_fx_symbolic_exhaustive_vstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.172s)
2022-11-23T01:28:25.0394123Z   test_make_fx_symbolic_exhaustive_where_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.456s)
2022-11-23T01:28:25.0394297Z   test_make_fx_symbolic_exhaustive_xlogy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.001s)
2022-11-23T01:28:25.0394470Z   test_make_fx_symbolic_exhaustive_zero__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.119s)
2022-11-23T01:28:25.0394643Z   test_make_fx_symbolic_exhaustive_zeros_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s)
2022-11-23T01:28:25.0394826Z   test_make_fx_symbolic_exhaustive_zeros_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.213s)
2022-11-23T01:28:25.0394961Z   test_binary_broadcast (__main__.TestSymbolicTracing) ... ok (0.070s)
2022-11-23T01:28:25.0395078Z   test_cat (__main__.TestSymbolicTracing) ... ok (0.128s)
2022-11-23T01:28:25.0395233Z   test_elementwise_meta_with_sym_numbers (__main__.TestSymbolicTracing) ... ok (0.129s)
2022-11-23T01:28:25.0395346Z   test_expand (__main__.TestSymbolicTracing) ... ok (0.098s)
2022-11-23T01:28:25.0395474Z   test_guards_equal (__main__.TestSymbolicTracing) ... ok (0.783s)
2022-11-23T01:28:25.0395599Z   test_mega_guard (__main__.TestSymbolicTracing) ... ok (0.059s)
2022-11-23T01:28:25.0395725Z   test_metadata (__main__.TestSymbolicTracing) ... ok (0.050s)
2022-11-23T01:28:25.0395857Z   test_metadata_fresh (__main__.TestSymbolicTracing) ... ok (0.038s)
2022-11-23T01:28:25.0395987Z   test_multiply_shape (__main__.TestSymbolicTracing) ... ok (0.030s)
2022-11-23T01:28:25.0396113Z   test_neg_shape (__main__.TestSymbolicTracing) ... ok (0.058s)
2022-11-23T01:28:25.0396801Z   test_new_empty (__main__.TestSymbolicTracing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/83408 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:28:25.0396956Z   test_nonidentity_transitive_guards (__main__.TestSymbolicTracing) ... ok (0.154s)
2022-11-23T01:28:25.0397071Z   test_return_symint (__main__.TestSymbolicTracing) ... ok (0.067s)
2022-11-23T01:28:25.0397306Z   test_rmethod (__main__.TestSymbolicTracing) ... ok (0.033s)
2022-11-23T01:28:25.0397439Z   test_size_with_tensor (__main__.TestSymbolicTracing) ... ok (0.122s)
2022-11-23T01:28:25.0397562Z   test_sqrt_size (__main__.TestSymbolicTracing) ... ok (0.036s)
2022-11-23T01:28:25.0397700Z   test_sym_storage_offset (__main__.TestSymbolicTracing) ... ok (0.056s)
2022-11-23T01:28:25.0397832Z   test_symint_to_tensor (__main__.TestSymbolicTracing) ... ok (0.061s)
2022-11-23T01:28:25.0397953Z   test_unary (__main__.TestSymbolicTracing) ... ok (0.068s)
2022-11-23T01:28:25.0397964Z 
2022-11-23T01:28:25.0398168Z ----------------------------------------------------------------------
2022-11-23T01:28:25.0398236Z Ran 2582 tests in 953.128s
2022-11-23T01:28:25.0398242Z 
2022-11-23T01:28:25.0398341Z OK (skipped=573, expected failures=256)
2022-11-23T01:28:25.0398346Z 
2022-11-23T01:28:25.0398431Z Generating XML reports...
2022-11-23T01:28:25.0398738Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestFakeProxyTensor-20221123011226.xml
2022-11-23T01:28:25.0399064Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorFake-20221123011226.xml
2022-11-23T01:28:25.0399375Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorReal-20221123011226.xml
2022-11-23T01:28:25.0399794Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorSymbolic-20221123011226.xml
2022-11-23T01:28:25.0400109Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestProxyTensorOpInfoCPU-20221123011226.xml
2022-11-23T01:28:25.0400436Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestSymbolicTracing-20221123011226.xml
2022-11-23T01:28:25.0400443Z 
2022-11-23T01:28:25.0400827Z ##[endgroup]
2022-11-23T01:28:25.0401121Z FINISHED PRINTING LOG FILE of test_proxy_tensor (/var/lib/jenkins/workspace/test/test-reports/test_proxy_tensor_fb6nrqb6)
2022-11-23T01:28:25.0401127Z 
2022-11-23T01:28:30.8172663Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:28:30.9988362Z Ignoring disabled issues:  []
2022-11-23T01:28:31.1225929Z Running test_fx_experimental ... [2022-11-23 01:28:31.122187]
2022-11-23T01:28:31.1227167Z Executing ['/opt/conda/bin/python', '-bb', 'test_fx_experimental.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:28:31.122475]
2022-11-23T01:30:05.8576322Z 
2022-11-23T01:30:05.8576839Z Expand the folded group to see the log file of test_fx_experimental
2022-11-23T01:30:05.8579848Z ##[group]PRINTING LOG FILE of test_fx_experimental (/var/lib/jenkins/workspace/test/test-reports/test_fx_experimental_flzvupcw)
2022-11-23T01:30:05.8599184Z Test results will be stored in test-reports/python-unittest/test_fx_experimental
2022-11-23T01:30:05.8599589Z 
2022-11-23T01:30:05.8599739Z Running tests...
2022-11-23T01:30:05.8600320Z ----------------------------------------------------------------------
2022-11-23T01:30:05.8601948Z   test_annotate_returns_with_schema (__main__.TestFXExperimental) ... /opt/conda/lib/python3.7/site-packages/torch/jit/_check.py:181: UserWarning: The TorchScript type system doesn't support instance-level annotations on empty non-base types in `__init__`. Instead, either 1) use a type annotation in the class body, or 2) wrap the type in `torch.jit.Attribute`.
2022-11-23T01:30:05.8603234Z   warnings.warn("The TorchScript type system doesn't support "
2022-11-23T01:30:05.8603671Z ok (4.945s)
2022-11-23T01:30:05.8604104Z   test_aot_based_partition (__main__.TestFXExperimental) ... ok (0.009s)
2022-11-23T01:30:05.8604676Z   test_call_to_assert_no_msg (__main__.TestFXExperimental) ... ok (0.005s)
2022-11-23T01:30:05.8605269Z   test_call_to_assert_with_empty_msg (__main__.TestFXExperimental) ... ok (0.005s)
2022-11-23T01:30:05.8605841Z   test_call_to_assert_with_msg (__main__.TestFXExperimental) ... ok (0.004s)
2022-11-23T01:30:05.8606458Z   test_call_to_assert_with_multiline_message (__main__.TestFXExperimental) ... ok (0.005s)
2022-11-23T01:30:05.8607043Z   test_conv_bn_fusion (__main__.TestFXExperimental) ... ok (3.591s)
2022-11-23T01:30:05.8607636Z   test_conv_bn_fusion_not_running_state (__main__.TestFXExperimental) ... ok (0.054s)
2022-11-23T01:30:05.8608221Z   test_cost_aware_partition (__main__.TestFXExperimental) ... ok (0.017s)
2022-11-23T01:30:05.8608759Z   test_fetch (__main__.TestFXExperimental) ... ok (0.005s)
2022-11-23T01:30:05.8609307Z   test_find_single_partition (__main__.TestFXExperimental) ... ok (0.006s)
2022-11-23T01:30:05.8609860Z   test_lack_of_devices (__main__.TestFXExperimental) ... ok (0.004s)
2022-11-23T01:30:05.8610418Z   test_large_node_error (__main__.TestFXExperimental) ... ok (0.005s)
2022-11-23T01:30:05.8610935Z   test_merge_matmuls (__main__.TestFXExperimental)
2022-11-23T01:30:05.8611509Z A collection of test cases for torch.fx.experimental.merge_matmul, ... ok (0.036s)
2022-11-23T01:30:05.8612081Z   test_meta_tracer (__main__.TestFXExperimental) ... ok (0.031s)
2022-11-23T01:30:05.8612618Z   test_normalize_args (__main__.TestFXExperimental) ... ok (3.184s)
2022-11-23T01:30:05.8613880Z   test_normalize_args_perserve_type (__main__.TestFXExperimental) ... /opt/conda/lib/python3.7/site-packages/torch/fx/operator_schemas.py:208: UserWarning: Does not support nested parametric types, got typing.List[~t]. Please file a bug.
2022-11-23T01:30:05.8677593Z   f"Does not support nested parametric types, got {signature_type}. Please file a bug.")
2022-11-23T01:30:05.8678920Z ok (0.013s)
2022-11-23T01:30:05.8679424Z   test_normalize_args_preserve_meta (__main__.TestFXExperimental) ... ok (0.010s)
2022-11-23T01:30:05.8679913Z   test_normalize_binary_operators (__main__.TestFXExperimental) ... ok (0.100s)
2022-11-23T01:30:05.8680360Z   test_normalize_modules_exhaustive (__main__.TestFXExperimental)
2022-11-23T01:30:05.8681271Z Exhaustively test `Node.normalized_arguments` on all standard ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/conv.py:310: UserWarning: Using padding='same' with even kernel lengths and odd dilation may require a zero-padded copy of the input be created (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Convolution.cpp:996.)
2022-11-23T01:30:05.8681890Z   self.padding, self.dilation, self.groups)
2022-11-23T01:30:05.8682094Z ok (2.541s)
2022-11-23T01:30:05.8682348Z   test_optimize_for_inference_cpu (__main__.TestFXExperimental) ... skip: no MKLDNN (0.002s)
2022-11-23T01:30:05.8682690Z   test_optimize_for_inference_cpu_torchvision (__main__.TestFXExperimental) ... skip: no MKLDNN (0.001s)
2022-11-23T01:30:05.8705881Z   test_partition_device_mapping (__main__.TestFXExperimental) ... ok (0.011s)
2022-11-23T01:30:05.8706224Z   test_partition_latency (__main__.TestFXExperimental) ... ok (0.011s)
2022-11-23T01:30:05.8706704Z   test_partition_node_manipulation (__main__.TestFXExperimental) ... ok (0.007s)
2022-11-23T01:30:05.8707244Z   test_replace_target_nodes_with (__main__.TestFXExperimental) ... ok (0.004s)
2022-11-23T01:30:05.8707746Z   test_saturate_host (__main__.TestFXExperimental) ... [0, 4]
2022-11-23T01:30:05.8707957Z [1, 2]
2022-11-23T01:30:05.8708112Z ok (0.011s)
2022-11-23T01:30:05.8708332Z   test_size_based_partition (__main__.TestFXExperimental) ... ok (0.011s)
2022-11-23T01:30:05.8708632Z   test_sparse_nn_partition (__main__.TestFXExperimental) ... ok (0.523s)
2022-11-23T01:30:05.8708933Z   test_split_module_default_arg (__main__.TestFXExperimental) ... ok (0.023s)
2022-11-23T01:30:05.8709421Z   test_split_module_kwargs_expansion (__main__.TestFXExperimental) ... ok (0.007s)
2022-11-23T01:30:05.8709906Z   test_split_qualname_mapping (__main__.TestFXExperimental) ... ok (0.008s)
2022-11-23T01:30:05.8710460Z   test_subgraph_creation (__main__.TestFXExperimental) ... ok (0.011s)
2022-11-23T01:30:05.8711005Z   test_subgraph_trivial_resnet (__main__.TestFXExperimental) ... ok (1.367s)
2022-11-23T01:30:05.8711535Z   test_subgraph_uniquename (__main__.TestFXExperimental) ... ok (0.010s)
2022-11-23T01:30:05.8712336Z   test_to_folder (__main__.TestFXExperimental) ... /opt/conda/lib/python3.7/site-packages/torch/fx/graph_module.py:476: UserWarning: Was not able to save the following children modules as reprs -saved as pickled files instead: ['seq']
2022-11-23T01:30:05.8712882Z   warnings.warn("Was not able to save the following children modules as reprs -"
2022-11-23T01:30:05.8713208Z ok (0.016s)
2022-11-23T01:30:05.8713661Z   test_traceable_function_with_nonstandard_name (__main__.TestFXExperimental) ... ok (0.003s)
2022-11-23T01:30:05.8714140Z   test_type_matches (__main__.TestFXExperimental) ... ok (0.003s)
2022-11-23T01:30:05.8714583Z   test_normalize_args_op_overload_cpu (__main__.TestNormalizeOperatorsCPU) ... ok (0.002s)
2022-11-23T01:30:05.8714966Z   test_normalize_operator_exhaustive_H_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.007s)
2022-11-23T01:30:05.8715371Z   test_normalize_operator_exhaustive_T_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.006s)
2022-11-23T01:30:05.8715923Z   test_normalize_operator_exhaustive___getitem___cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.8716609Z   test_normalize_operator_exhaustive___radd___cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.8717592Z   test_normalize_operator_exhaustive___rdiv___cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.007s)
2022-11-23T01:30:05.8718339Z   test_normalize_operator_exhaustive___rmatmul___cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.006s)
2022-11-23T01:30:05.8719129Z   test_normalize_operator_exhaustive___rmod___cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.006s)
2022-11-23T01:30:05.8719601Z   test_normalize_operator_exhaustive___rmul___cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.8720519Z   test_normalize_operator_exhaustive___rpow___cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T01:30:05.8721105Z   return torch.tensor(other, dtype=dtype, device=self.device) ** self
2022-11-23T01:30:05.8721335Z expected failure (0.007s)
2022-11-23T01:30:05.8721645Z   test_normalize_operator_exhaustive___rsub___cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.007s)
2022-11-23T01:30:05.8722267Z   test_normalize_operator_exhaustive__softmax_backward_data_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.020s)
2022-11-23T01:30:05.8723094Z   test_normalize_operator_exhaustive_abs_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2022-11-23T01:30:05.8723756Z   test_normalize_operator_exhaustive_acos_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.020s)
2022-11-23T01:30:05.8724374Z   test_normalize_operator_exhaustive_acosh_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.024s)
2022-11-23T01:30:05.8724996Z   test_normalize_operator_exhaustive_add_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.109s)
2022-11-23T01:30:05.8725623Z   test_normalize_operator_exhaustive_addbmm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.052s)
2022-11-23T01:30:05.8726228Z   test_normalize_operator_exhaustive_addcdiv_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.201s)
2022-11-23T01:30:05.8726858Z   test_normalize_operator_exhaustive_addcmul_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.077s)
2022-11-23T01:30:05.8727466Z   test_normalize_operator_exhaustive_addmm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.021s)
2022-11-23T01:30:05.8728121Z   test_normalize_operator_exhaustive_addmm_decomposed_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.021s)
2022-11-23T01:30:05.8728934Z   test_normalize_operator_exhaustive_addmv_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.041s)
2022-11-23T01:30:05.8729617Z   test_normalize_operator_exhaustive_addr_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.039s)
2022-11-23T01:30:05.8730232Z   test_normalize_operator_exhaustive_all_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.097s)
2022-11-23T01:30:05.8730602Z   test_normalize_operator_exhaustive_allclose_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.139s)
2022-11-23T01:30:05.8730980Z   test_normalize_operator_exhaustive_amax_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.107s)
2022-11-23T01:30:05.8731358Z   test_normalize_operator_exhaustive_amin_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.107s)
2022-11-23T01:30:05.8732481Z   test_normalize_operator_exhaustive_aminmax_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... test_fx_experimental.py:1520: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:30:05.8733402Z   ref_out = op.op(*arg_values, **kwarg_values)
2022-11-23T01:30:05.8734102Z test_fx_experimental.py:1532: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:30:05.8735081Z   test_out = op.op(*norm_args_and_kwargs.args, **norm_args_and_kwargs.kwargs)
2022-11-23T01:30:05.8736270Z <string>:5: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:30:05.8737324Z <string>:5: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:30:05.8737868Z ok (0.043s)
2022-11-23T01:30:05.8738151Z   test_normalize_operator_exhaustive_angle_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2022-11-23T01:30:05.8738532Z   test_normalize_operator_exhaustive_any_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.101s)
2022-11-23T01:30:05.8738932Z   test_normalize_operator_exhaustive_arange_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.047s)
2022-11-23T01:30:05.8739318Z   test_normalize_operator_exhaustive_argmax_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.059s)
2022-11-23T01:30:05.8739697Z   test_normalize_operator_exhaustive_argmin_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.058s)
2022-11-23T01:30:05.8740077Z   test_normalize_operator_exhaustive_argsort_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.253s)
2022-11-23T01:30:05.8740461Z   test_normalize_operator_exhaustive_argwhere_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.022s)
2022-11-23T01:30:05.8740835Z   test_normalize_operator_exhaustive_as_strided_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.025s)
2022-11-23T01:30:05.8741229Z   test_normalize_operator_exhaustive_as_strided_scatter_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.034s)
2022-11-23T01:30:05.8741626Z   test_normalize_operator_exhaustive_asin_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2022-11-23T01:30:05.8742005Z   test_normalize_operator_exhaustive_asinh_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2022-11-23T01:30:05.8742368Z   test_normalize_operator_exhaustive_atan2_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.055s)
2022-11-23T01:30:05.8742746Z   test_normalize_operator_exhaustive_atan_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.012s)
2022-11-23T01:30:05.8743129Z   test_normalize_operator_exhaustive_atanh_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2022-11-23T01:30:05.8743515Z   test_normalize_operator_exhaustive_atleast_1d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.8743931Z   test_normalize_operator_exhaustive_atleast_2d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.8744401Z   test_normalize_operator_exhaustive_atleast_3d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.8744879Z   test_normalize_operator_exhaustive_baddbmm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.039s)
2022-11-23T01:30:05.8745268Z   test_normalize_operator_exhaustive_bernoulli_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.009s)
2022-11-23T01:30:05.8745738Z   test_normalize_operator_exhaustive_bfloat16_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.8746153Z   test_normalize_operator_exhaustive_block_diag_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.8746545Z   test_normalize_operator_exhaustive_bmm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2022-11-23T01:30:05.8746921Z   test_normalize_operator_exhaustive_bool_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.8747345Z   test_normalize_operator_exhaustive_broadcast_shapes_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.8747889Z   test_normalize_operator_exhaustive_broadcast_tensors_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.8748303Z   test_normalize_operator_exhaustive_broadcast_to_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.037s)
2022-11-23T01:30:05.8748686Z   test_normalize_operator_exhaustive_bucketize_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.127s)
2022-11-23T01:30:05.8749083Z   test_normalize_operator_exhaustive_byte_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.8749500Z   test_normalize_operator_exhaustive_cartesian_prod_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.8749900Z   test_normalize_operator_exhaustive_cat_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.018s)
2022-11-23T01:30:05.8750268Z   test_normalize_operator_exhaustive_cdist_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (1.054s)
2022-11-23T01:30:05.8750664Z   test_normalize_operator_exhaustive_cdouble_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.8751059Z   test_normalize_operator_exhaustive_ceil_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2022-11-23T01:30:05.8751452Z   test_normalize_operator_exhaustive_cfloat_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.8752478Z   test_normalize_operator_exhaustive_chalf_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_methods_invocations.py:14387: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.)
2022-11-23T01:30:05.8753049Z   op=lambda x, *args, **kwargs: x.chalf(*args, **kwargs),
2022-11-23T01:30:05.8753270Z expected failure (0.005s)
2022-11-23T01:30:05.8753579Z   test_normalize_operator_exhaustive_char_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.8754125Z   test_normalize_operator_exhaustive_cholesky_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... test_fx_experimental.py:1520: UserWarning: torch.cholesky is deprecated in favor of torch.linalg.cholesky and will be removed in a future PyTorch release.
2022-11-23T01:30:05.8754549Z L = torch.cholesky(A)
2022-11-23T01:30:05.8754736Z should be replaced with
2022-11-23T01:30:05.8754936Z L = torch.linalg.cholesky(A)
2022-11-23T01:30:05.8755104Z and
2022-11-23T01:30:05.8755282Z U = torch.cholesky(A, upper=True)
2022-11-23T01:30:05.8755479Z should be replaced with
2022-11-23T01:30:05.8755669Z U = torch.linalg.cholesky(A).mH().
2022-11-23T01:30:05.8756082Z This transform will produce equivalent results for all valid (symmetric positive definite) inputs. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:1729.)
2022-11-23T01:30:05.8756526Z   ref_out = op.op(*arg_values, **kwarg_values)
2022-11-23T01:30:05.8756707Z ok (0.086s)
2022-11-23T01:30:05.8756999Z   test_normalize_operator_exhaustive_cholesky_inverse_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.075s)
2022-11-23T01:30:05.8757619Z   test_normalize_operator_exhaustive_cholesky_solve_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.086s)
2022-11-23T01:30:05.8758013Z   test_normalize_operator_exhaustive_chunk_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.026s)
2022-11-23T01:30:05.8758384Z   test_normalize_operator_exhaustive_clamp_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.035s)
2022-11-23T01:30:05.8758826Z   test_normalize_operator_exhaustive_clamp_max_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.054s)
2022-11-23T01:30:05.8759206Z   test_normalize_operator_exhaustive_clamp_min_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.053s)
2022-11-23T01:30:05.8759593Z   test_normalize_operator_exhaustive_clone_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.013s)
2022-11-23T01:30:05.8759982Z   test_normalize_operator_exhaustive_column_stack_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.011s)
2022-11-23T01:30:05.8760396Z   test_normalize_operator_exhaustive_combinations_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.116s)
2022-11-23T01:30:05.8760785Z   test_normalize_operator_exhaustive_complex_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.050s)
2022-11-23T01:30:05.8761149Z   test_normalize_operator_exhaustive_conj_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.015s)
2022-11-23T01:30:05.8761535Z   test_normalize_operator_exhaustive_conj_physical_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.008s)
2022-11-23T01:30:05.8761935Z   test_normalize_operator_exhaustive_constant_pad_nd_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.260s)
2022-11-23T01:30:05.8762347Z   test_normalize_operator_exhaustive_contiguous_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.8762737Z   test_normalize_operator_exhaustive_copysign_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.064s)
2022-11-23T01:30:05.8763119Z   test_normalize_operator_exhaustive_corrcoef_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.027s)
2022-11-23T01:30:05.8763496Z   test_normalize_operator_exhaustive_cos_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.023s)
2022-11-23T01:30:05.8763869Z   test_normalize_operator_exhaustive_cosh_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.018s)
2022-11-23T01:30:05.8764241Z   test_normalize_operator_exhaustive_count_nonzero_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.098s)
2022-11-23T01:30:05.8764624Z   test_normalize_operator_exhaustive_cov_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.264s)
2022-11-23T01:30:05.8765002Z   test_normalize_operator_exhaustive_cross_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.018s)
2022-11-23T01:30:05.8765380Z   test_normalize_operator_exhaustive_cummax_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.023s)
2022-11-23T01:30:05.8765744Z   test_normalize_operator_exhaustive_cummin_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.022s)
2022-11-23T01:30:05.8766127Z   test_normalize_operator_exhaustive_cumprod_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.063s)
2022-11-23T01:30:05.8766513Z   test_normalize_operator_exhaustive_cumsum_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.026s)
2022-11-23T01:30:05.8766913Z   test_normalize_operator_exhaustive_cumulative_trapezoid_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.050s)
2022-11-23T01:30:05.8767296Z   test_normalize_operator_exhaustive_deg2rad_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2022-11-23T01:30:05.8767726Z   test_normalize_operator_exhaustive_diag_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.083s)
2022-11-23T01:30:05.8768109Z   test_normalize_operator_exhaustive_diag_embed_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.082s)
2022-11-23T01:30:05.8768481Z   test_normalize_operator_exhaustive_diagflat_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.027s)
2022-11-23T01:30:05.8768907Z   test_normalize_operator_exhaustive_diagonal_copy_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.076s)
2022-11-23T01:30:05.8769301Z   test_normalize_operator_exhaustive_diagonal_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.077s)
2022-11-23T01:30:05.8769694Z   test_normalize_operator_exhaustive_diagonal_scatter_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.086s)
2022-11-23T01:30:05.8770072Z   test_normalize_operator_exhaustive_diff_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.379s)
2022-11-23T01:30:05.8770450Z   test_normalize_operator_exhaustive_digamma_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.017s)
2022-11-23T01:30:05.8770834Z   test_normalize_operator_exhaustive_dist_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.248s)
2022-11-23T01:30:05.8771221Z   test_normalize_operator_exhaustive_div_floor_rounding_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.082s)
2022-11-23T01:30:05.8771617Z   test_normalize_operator_exhaustive_div_no_rounding_mode_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.083s)
2022-11-23T01:30:05.8772021Z   test_normalize_operator_exhaustive_div_trunc_rounding_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.081s)
2022-11-23T01:30:05.8772409Z   test_normalize_operator_exhaustive_dot_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2022-11-23T01:30:05.8772804Z   test_normalize_operator_exhaustive_double_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.8773185Z   test_normalize_operator_exhaustive_dsplit_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.019s)
2022-11-23T01:30:05.8773575Z   test_normalize_operator_exhaustive_dstack_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.007s)
2022-11-23T01:30:05.8773971Z   test_normalize_operator_exhaustive_einsum_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.008s)
2022-11-23T01:30:05.8774380Z   test_normalize_operator_exhaustive_empty_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.006s)
2022-11-23T01:30:05.8774778Z   test_normalize_operator_exhaustive_empty_like_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipped! (0.003s)
2022-11-23T01:30:05.8775170Z   test_normalize_operator_exhaustive_eq_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.100s)
2022-11-23T01:30:05.8775550Z   test_normalize_operator_exhaustive_equal_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.027s)
2022-11-23T01:30:05.8775913Z   test_normalize_operator_exhaustive_erf_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2022-11-23T01:30:05.8776286Z   test_normalize_operator_exhaustive_erfc_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.019s)
2022-11-23T01:30:05.8776659Z   test_normalize_operator_exhaustive_erfinv_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2022-11-23T01:30:05.8777034Z   test_normalize_operator_exhaustive_exp2_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.017s)
2022-11-23T01:30:05.8777391Z   test_normalize_operator_exhaustive_exp_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.020s)
2022-11-23T01:30:05.8777787Z   test_normalize_operator_exhaustive_expand_as_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.007s)
2022-11-23T01:30:05.8778203Z   test_normalize_operator_exhaustive_expand_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.006s)
2022-11-23T01:30:05.8778598Z   test_normalize_operator_exhaustive_expm1_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.012s)
2022-11-23T01:30:05.8779016Z   test_normalize_operator_exhaustive_eye_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.8779412Z   test_normalize_operator_exhaustive_fft_fft2_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.046s)
2022-11-23T01:30:05.8779793Z   test_normalize_operator_exhaustive_fft_fft_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.049s)
2022-11-23T01:30:05.8780209Z   test_normalize_operator_exhaustive_fft_fftn_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.059s)
2022-11-23T01:30:05.8780590Z   test_normalize_operator_exhaustive_fft_fftshift_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.027s)
2022-11-23T01:30:05.8780973Z   test_normalize_operator_exhaustive_fft_hfft2_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.046s)
2022-11-23T01:30:05.8781355Z   test_normalize_operator_exhaustive_fft_hfft_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.050s)
2022-11-23T01:30:05.8781735Z   test_normalize_operator_exhaustive_fft_hfftn_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.056s)
2022-11-23T01:30:05.8782100Z   test_normalize_operator_exhaustive_fft_ifft2_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.044s)
2022-11-23T01:30:05.8782473Z   test_normalize_operator_exhaustive_fft_ifft_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.053s)
2022-11-23T01:30:05.8782851Z   test_normalize_operator_exhaustive_fft_ifftn_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.056s)
2022-11-23T01:30:05.8783219Z   test_normalize_operator_exhaustive_fft_ifftshift_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.027s)
2022-11-23T01:30:05.8783606Z   test_normalize_operator_exhaustive_fft_ihfft2_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.049s)
2022-11-23T01:30:05.8783991Z   test_normalize_operator_exhaustive_fft_ihfft_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.047s)
2022-11-23T01:30:05.8784371Z   test_normalize_operator_exhaustive_fft_ihfftn_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.056s)
2022-11-23T01:30:05.8784813Z   test_normalize_operator_exhaustive_fft_irfft2_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.048s)
2022-11-23T01:30:05.8785195Z   test_normalize_operator_exhaustive_fft_irfft_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.048s)
2022-11-23T01:30:05.8785574Z   test_normalize_operator_exhaustive_fft_irfftn_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.059s)
2022-11-23T01:30:05.8785951Z   test_normalize_operator_exhaustive_fft_rfft2_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.042s)
2022-11-23T01:30:05.8786316Z   test_normalize_operator_exhaustive_fft_rfft_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.047s)
2022-11-23T01:30:05.8786698Z   test_normalize_operator_exhaustive_fft_rfftn_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.057s)
2022-11-23T01:30:05.8787077Z   test_normalize_operator_exhaustive_fill_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.019s)
2022-11-23T01:30:05.8787454Z   test_normalize_operator_exhaustive_flatten_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.037s)
2022-11-23T01:30:05.8787819Z   test_normalize_operator_exhaustive_flip_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.053s)
2022-11-23T01:30:05.8788195Z   test_normalize_operator_exhaustive_fliplr_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.014s)
2022-11-23T01:30:05.8788577Z   test_normalize_operator_exhaustive_flipud_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.012s)
2022-11-23T01:30:05.8788969Z   test_normalize_operator_exhaustive_float_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.8789354Z   test_normalize_operator_exhaustive_float_power_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.061s)
2022-11-23T01:30:05.8789735Z   test_normalize_operator_exhaustive_floor_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2022-11-23T01:30:05.8790159Z   test_normalize_operator_exhaustive_floor_divide_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.056s)
2022-11-23T01:30:05.8790528Z   test_normalize_operator_exhaustive_fmax_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.045s)
2022-11-23T01:30:05.8790901Z   test_normalize_operator_exhaustive_fmin_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.046s)
2022-11-23T01:30:05.8791303Z   test_normalize_operator_exhaustive_fmod_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.071s)
2022-11-23T01:30:05.8791672Z   test_normalize_operator_exhaustive_frac_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2022-11-23T01:30:05.8792029Z   test_normalize_operator_exhaustive_frexp_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.022s)
2022-11-23T01:30:05.8792402Z   test_normalize_operator_exhaustive_full_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.024s)
2022-11-23T01:30:05.8792777Z   test_normalize_operator_exhaustive_full_like_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.040s)
2022-11-23T01:30:05.8793162Z   test_normalize_operator_exhaustive_gather_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.037s)
2022-11-23T01:30:05.8793525Z   test_normalize_operator_exhaustive_ge_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.059s)
2022-11-23T01:30:05.8793897Z   test_normalize_operator_exhaustive_geqrf_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.276s)
2022-11-23T01:30:05.8794300Z   test_normalize_operator_exhaustive_gradient_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.092s)
2022-11-23T01:30:05.8794709Z   test_normalize_operator_exhaustive_grid_sampler_2d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.106s)
2022-11-23T01:30:05.8795080Z   test_normalize_operator_exhaustive_gt_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.060s)
2022-11-23T01:30:05.8795469Z   test_normalize_operator_exhaustive_half_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.8795871Z   test_normalize_operator_exhaustive_heaviside_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.047s)
2022-11-23T01:30:05.8796255Z   test_normalize_operator_exhaustive_histc_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.523s)
2022-11-23T01:30:05.8796621Z   test_normalize_operator_exhaustive_histogram_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (1.714s)
2022-11-23T01:30:05.8797026Z   test_normalize_operator_exhaustive_histogramdd_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.029s)
2022-11-23T01:30:05.8797563Z   test_normalize_operator_exhaustive_hsplit_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.018s)
2022-11-23T01:30:05.8797928Z   test_normalize_operator_exhaustive_hstack_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.007s)
2022-11-23T01:30:05.8798302Z   test_normalize_operator_exhaustive_hypot_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.048s)
2022-11-23T01:30:05.8798678Z   test_normalize_operator_exhaustive_i0_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2022-11-23T01:30:05.8799058Z   test_normalize_operator_exhaustive_igamma_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.048s)
2022-11-23T01:30:05.8799428Z   test_normalize_operator_exhaustive_igammac_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.050s)
2022-11-23T01:30:05.8799812Z   test_normalize_operator_exhaustive_index_add_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.059s)
2022-11-23T01:30:05.8800202Z   test_normalize_operator_exhaustive_index_copy_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.021s)
2022-11-23T01:30:05.8800583Z   test_normalize_operator_exhaustive_index_fill_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.026s)
2022-11-23T01:30:05.8801377Z   test_normalize_operator_exhaustive_index_put_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/fx/operator_schemas.py:208: UserWarning: Does not support nested parametric types, got typing.List[typing.Union[torch.Tensor, NoneType]]. Please file a bug.
2022-11-23T01:30:05.8801995Z   f"Does not support nested parametric types, got {signature_type}. Please file a bug.")
2022-11-23T01:30:05.8802258Z expected failure (0.011s)
2022-11-23T01:30:05.8802820Z   test_normalize_operator_exhaustive_index_reduce_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... test_fx_experimental.py:1520: UserWarning: index_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1070.)
2022-11-23T01:30:05.8803320Z   ref_out = op.op(*arg_values, **kwarg_values)
2022-11-23T01:30:05.8803512Z ok (0.197s)
2022-11-23T01:30:05.8803795Z   test_normalize_operator_exhaustive_index_select_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.021s)
2022-11-23T01:30:05.8804181Z   test_normalize_operator_exhaustive_inner_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.015s)
2022-11-23T01:30:05.8804567Z   test_normalize_operator_exhaustive_int_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.8804965Z   test_normalize_operator_exhaustive_isclose_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.100s)
2022-11-23T01:30:05.8805349Z   test_normalize_operator_exhaustive_isfinite_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.017s)
2022-11-23T01:30:05.8805729Z   test_normalize_operator_exhaustive_isin_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.020s)
2022-11-23T01:30:05.8806097Z   test_normalize_operator_exhaustive_isinf_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2022-11-23T01:30:05.8806475Z   test_normalize_operator_exhaustive_isnan_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2022-11-23T01:30:05.8806852Z   test_normalize_operator_exhaustive_isneginf_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.008s)
2022-11-23T01:30:05.8807222Z   test_normalize_operator_exhaustive_isposinf_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2022-11-23T01:30:05.8807606Z   test_normalize_operator_exhaustive_isreal_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.015s)
2022-11-23T01:30:05.8808028Z   test_normalize_operator_exhaustive_jiterator_2inputs_2outputs_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T01:30:05.8808496Z   test_normalize_operator_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T01:30:05.8808937Z   test_normalize_operator_exhaustive_jiterator_binary_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T01:30:05.8809384Z   test_normalize_operator_exhaustive_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T01:30:05.8809838Z   test_normalize_operator_exhaustive_jiterator_unary_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T01:30:05.8810243Z   test_normalize_operator_exhaustive_kron_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2022-11-23T01:30:05.8810625Z   test_normalize_operator_exhaustive_kthvalue_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.079s)
2022-11-23T01:30:05.8810999Z   test_normalize_operator_exhaustive_ldexp_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.053s)
2022-11-23T01:30:05.8811375Z   test_normalize_operator_exhaustive_le_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.060s)
2022-11-23T01:30:05.8811751Z   test_normalize_operator_exhaustive_lerp_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.085s)
2022-11-23T01:30:05.8812117Z   test_normalize_operator_exhaustive_lgamma_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.019s)
2022-11-23T01:30:05.8812506Z   test_normalize_operator_exhaustive_linalg_cholesky_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.085s)
2022-11-23T01:30:05.8812944Z   test_normalize_operator_exhaustive_linalg_cholesky_ex_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.092s)
2022-11-23T01:30:05.8813339Z   test_normalize_operator_exhaustive_linalg_cond_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.024s)
2022-11-23T01:30:05.8813785Z   test_normalize_operator_exhaustive_linalg_cross_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.019s)
2022-11-23T01:30:05.8814179Z   test_normalize_operator_exhaustive_linalg_det_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.056s)
2022-11-23T01:30:05.8814576Z   test_normalize_operator_exhaustive_linalg_det_singular_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.213s)
2022-11-23T01:30:05.8814974Z   test_normalize_operator_exhaustive_linalg_eig_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.068s)
2022-11-23T01:30:05.8815352Z   test_normalize_operator_exhaustive_linalg_eigh_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.060s)
2022-11-23T01:30:05.8815751Z   test_normalize_operator_exhaustive_linalg_eigvals_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.054s)
2022-11-23T01:30:05.8816148Z   test_normalize_operator_exhaustive_linalg_eigvalsh_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.048s)
2022-11-23T01:30:05.8816562Z   test_normalize_operator_exhaustive_linalg_householder_product_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.048s)
2022-11-23T01:30:05.8816950Z   test_normalize_operator_exhaustive_linalg_inv_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.049s)
2022-11-23T01:30:05.8817334Z   test_normalize_operator_exhaustive_linalg_inv_ex_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.053s)
2022-11-23T01:30:05.8817732Z   test_normalize_operator_exhaustive_linalg_ldl_factor_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.028s)
2022-11-23T01:30:05.8818139Z   test_normalize_operator_exhaustive_linalg_ldl_factor_ex_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.032s)
2022-11-23T01:30:05.8818533Z   test_normalize_operator_exhaustive_linalg_ldl_solve_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.088s)
2022-11-23T01:30:05.8818924Z   test_normalize_operator_exhaustive_linalg_lstsq_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.404s)
2022-11-23T01:30:05.8819334Z   test_normalize_operator_exhaustive_linalg_lstsq_grad_oriented_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.344s)
2022-11-23T01:30:05.8819733Z   test_normalize_operator_exhaustive_linalg_lu_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.141s)
2022-11-23T01:30:05.8820113Z   test_normalize_operator_exhaustive_linalg_lu_factor_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.109s)
2022-11-23T01:30:05.8820512Z   test_normalize_operator_exhaustive_linalg_lu_factor_ex_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.104s)
2022-11-23T01:30:05.8820914Z   test_normalize_operator_exhaustive_linalg_lu_solve_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.618s)
2022-11-23T01:30:05.8821301Z   test_normalize_operator_exhaustive_linalg_matrix_norm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.489s)
2022-11-23T01:30:05.8821698Z   test_normalize_operator_exhaustive_linalg_matrix_power_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.110s)
2022-11-23T01:30:05.8822099Z   test_normalize_operator_exhaustive_linalg_matrix_rank_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.667s)
2022-11-23T01:30:05.8822511Z   test_normalize_operator_exhaustive_linalg_matrix_rank_hermitian_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.071s)
2022-11-23T01:30:05.8822907Z   test_normalize_operator_exhaustive_linalg_multi_dot_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.014s)
2022-11-23T01:30:05.8823297Z   test_normalize_operator_exhaustive_linalg_norm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.697s)
2022-11-23T01:30:05.8823746Z   test_normalize_operator_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.519s)
2022-11-23T01:30:05.8824158Z   test_normalize_operator_exhaustive_linalg_pinv_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.225s)
2022-11-23T01:30:05.8824550Z   test_normalize_operator_exhaustive_linalg_pinv_hermitian_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.079s)
2022-11-23T01:30:05.8825156Z   test_normalize_operator_exhaustive_linalg_pinv_singular_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.004s)
2022-11-23T01:30:05.8825614Z   test_normalize_operator_exhaustive_linalg_qr_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.242s)
2022-11-23T01:30:05.8826006Z   test_normalize_operator_exhaustive_linalg_slogdet_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.073s)
2022-11-23T01:30:05.8826392Z   test_normalize_operator_exhaustive_linalg_solve_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.116s)
2022-11-23T01:30:05.8826787Z   test_normalize_operator_exhaustive_linalg_solve_ex_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.136s)
2022-11-23T01:30:05.8827194Z   test_normalize_operator_exhaustive_linalg_solve_triangular_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.883s)
2022-11-23T01:30:05.8827596Z   test_normalize_operator_exhaustive_linalg_svd_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (1.745s)
2022-11-23T01:30:05.8827976Z   test_normalize_operator_exhaustive_linalg_svdvals_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.176s)
2022-11-23T01:30:05.8828373Z   test_normalize_operator_exhaustive_linalg_tensorinv_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.021s)
2022-11-23T01:30:05.8828773Z   test_normalize_operator_exhaustive_linalg_tensorsolve_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.033s)
2022-11-23T01:30:05.8829174Z   test_normalize_operator_exhaustive_linalg_vander_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.053s)
2022-11-23T01:30:05.8829671Z   test_normalize_operator_exhaustive_linalg_vecdot_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.266s)
2022-11-23T01:30:05.8830071Z   test_normalize_operator_exhaustive_linalg_vector_norm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (1.052s)
2022-11-23T01:30:05.8830466Z   test_normalize_operator_exhaustive_linspace_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.209s)
2022-11-23T01:30:05.8830847Z   test_normalize_operator_exhaustive_log10_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.020s)
2022-11-23T01:30:05.8831215Z   test_normalize_operator_exhaustive_log1p_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2022-11-23T01:30:05.8831598Z   test_normalize_operator_exhaustive_log2_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.017s)
2022-11-23T01:30:05.8831980Z   test_normalize_operator_exhaustive_log_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.029s)
2022-11-23T01:30:05.8832368Z   test_normalize_operator_exhaustive_log_softmax_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.035s)
2022-11-23T01:30:05.8832753Z   test_normalize_operator_exhaustive_log_softmax_with_dtype_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.039s)
2022-11-23T01:30:05.8833152Z   test_normalize_operator_exhaustive_logaddexp2_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2022-11-23T01:30:05.8833541Z   test_normalize_operator_exhaustive_logaddexp_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2022-11-23T01:30:05.8833929Z   test_normalize_operator_exhaustive_logcumsumexp_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.036s)
2022-11-23T01:30:05.8834323Z   test_normalize_operator_exhaustive_logdet_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.066s)
2022-11-23T01:30:05.8834706Z   test_normalize_operator_exhaustive_logical_and_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.044s)
2022-11-23T01:30:05.8835136Z   test_normalize_operator_exhaustive_logical_not_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.015s)
2022-11-23T01:30:05.8835508Z   test_normalize_operator_exhaustive_logical_or_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.042s)
2022-11-23T01:30:05.8835899Z   test_normalize_operator_exhaustive_logical_xor_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.042s)
2022-11-23T01:30:05.8836315Z   test_normalize_operator_exhaustive_logit_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.026s)
2022-11-23T01:30:05.8836704Z   test_normalize_operator_exhaustive_logspace_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (1.906s)
2022-11-23T01:30:05.8837080Z   test_normalize_operator_exhaustive_logsumexp_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.111s)
2022-11-23T01:30:05.8837604Z   test_normalize_operator_exhaustive_long_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.8838002Z   test_normalize_operator_exhaustive_lt_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.068s)
2022-11-23T01:30:05.8838802Z   test_normalize_operator_exhaustive_lu_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/functional.py:1727: UserWarning: torch.lu is deprecated in favor of torch.linalg.lu_factor / torch.linalg.lu_factor_ex and will be removed in a future PyTorch release.
2022-11-23T01:30:05.8839283Z LU, pivots = torch.lu(A, compute_pivots)
2022-11-23T01:30:05.8839490Z should be replaced with
2022-11-23T01:30:05.8839719Z LU, pivots = torch.linalg.lu_factor(A, compute_pivots)
2022-11-23T01:30:05.8839910Z and
2022-11-23T01:30:05.8840121Z LU, pivots, info = torch.lu(A, compute_pivots, get_infos=True)
2022-11-23T01:30:05.8840350Z should be replaced with
2022-11-23T01:30:05.8840708Z LU, pivots, info = torch.linalg.lu_factor_ex(A, compute_pivots) (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2028.)
2022-11-23T01:30:05.8841094Z   return torch._lu_with_info(A, pivot=pivot, check_errors=(not get_infos))
2022-11-23T01:30:05.8841318Z ok (0.191s)
2022-11-23T01:30:05.8841749Z   test_normalize_operator_exhaustive_lu_solve_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... test_fx_experimental.py:1520: UserWarning: torch.lu_solve is deprecated in favor of torch.linalg.lu_solveand will be removed in a future PyTorch release.
2022-11-23T01:30:05.8842217Z Note that torch.linalg.lu_solve has its arguments reversed.
2022-11-23T01:30:05.8842443Z X = torch.lu_solve(B, LU, pivots)
2022-11-23T01:30:05.8842638Z should be replaced with
2022-11-23T01:30:05.8842973Z X = torch.linalg.lu_solve(LU, pivots, B) (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2182.)
2022-11-23T01:30:05.8843302Z   ref_out = op.op(*arg_values, **kwarg_values)
2022-11-23T01:30:05.8843493Z ok (0.162s)
2022-11-23T01:30:05.8843777Z   test_normalize_operator_exhaustive_lu_unpack_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.149s)
2022-11-23T01:30:05.8844165Z   test_normalize_operator_exhaustive_mH_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.007s)
2022-11-23T01:30:05.8844567Z   test_normalize_operator_exhaustive_mT_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.007s)
2022-11-23T01:30:05.8844982Z   test_normalize_operator_exhaustive_masked_amax_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.008s)
2022-11-23T01:30:05.8845401Z   test_normalize_operator_exhaustive_masked_amin_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.007s)
2022-11-23T01:30:05.8845804Z   test_normalize_operator_exhaustive_masked_argmax_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.008s)
2022-11-23T01:30:05.8846223Z   test_normalize_operator_exhaustive_masked_argmin_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.007s)
2022-11-23T01:30:05.8846652Z   test_normalize_operator_exhaustive_masked_cumprod_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.007s)
2022-11-23T01:30:05.8847184Z   test_normalize_operator_exhaustive_masked_cumsum_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.007s)
2022-11-23T01:30:05.8847583Z   test_normalize_operator_exhaustive_masked_fill_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.054s)
2022-11-23T01:30:05.8848041Z   test_normalize_operator_exhaustive_masked_log_softmax_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.007s)
2022-11-23T01:30:05.8848477Z   test_normalize_operator_exhaustive_masked_logaddexp_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.008s)
2022-11-23T01:30:05.8848911Z   test_normalize_operator_exhaustive_masked_logsumexp_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipped! (0.003s)
2022-11-23T01:30:05.8849320Z   test_normalize_operator_exhaustive_masked_mean_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.008s)
2022-11-23T01:30:05.8849741Z   test_normalize_operator_exhaustive_masked_median_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.008s)
2022-11-23T01:30:05.8850158Z   test_normalize_operator_exhaustive_masked_norm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.007s)
2022-11-23T01:30:05.8850583Z   test_normalize_operator_exhaustive_masked_normalize_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.008s)
2022-11-23T01:30:05.8850994Z   test_normalize_operator_exhaustive_masked_prod_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.007s)
2022-11-23T01:30:05.8851403Z   test_normalize_operator_exhaustive_masked_scatter_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.026s)
2022-11-23T01:30:05.8851804Z   test_normalize_operator_exhaustive_masked_select_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.044s)
2022-11-23T01:30:05.8852217Z   test_normalize_operator_exhaustive_masked_softmax_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.007s)
2022-11-23T01:30:05.8852625Z   test_normalize_operator_exhaustive_masked_softmin_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.007s)
2022-11-23T01:30:05.8853045Z   test_normalize_operator_exhaustive_masked_std_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.008s)
2022-11-23T01:30:05.8853552Z   test_normalize_operator_exhaustive_masked_sum_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.008s)
2022-11-23T01:30:05.8853964Z   test_normalize_operator_exhaustive_masked_var_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.008s)
2022-11-23T01:30:05.8854455Z   test_normalize_operator_exhaustive_matmul_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.078s)
2022-11-23T01:30:05.8854843Z   test_normalize_operator_exhaustive_matrix_exp_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.032s)
2022-11-23T01:30:05.8855231Z   test_normalize_operator_exhaustive_max_binary_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.072s)
2022-11-23T01:30:05.8855655Z   test_normalize_operator_exhaustive_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.8856075Z   test_normalize_operator_exhaustive_max_reduction_no_dim_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.020s)
2022-11-23T01:30:05.8856481Z   test_normalize_operator_exhaustive_max_reduction_with_dim_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.034s)
2022-11-23T01:30:05.8856873Z   test_normalize_operator_exhaustive_maximum_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.051s)
2022-11-23T01:30:05.8857253Z   test_normalize_operator_exhaustive_mean_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.143s)
2022-11-23T01:30:05.8857619Z   test_normalize_operator_exhaustive_median_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.094s)
2022-11-23T01:30:05.8858085Z   test_normalize_operator_exhaustive_meshgrid_list_of_tensors_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.8858530Z   test_normalize_operator_exhaustive_meshgrid_variadic_tensors_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipped! (0.003s)
2022-11-23T01:30:05.8858945Z   test_normalize_operator_exhaustive_min_binary_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.070s)
2022-11-23T01:30:05.8859367Z   test_normalize_operator_exhaustive_min_reduction_no_dim_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.018s)
2022-11-23T01:30:05.8859778Z   test_normalize_operator_exhaustive_min_reduction_with_dim_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.036s)
2022-11-23T01:30:05.8860175Z   test_normalize_operator_exhaustive_minimum_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.049s)
2022-11-23T01:30:05.8860553Z   test_normalize_operator_exhaustive_mm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2022-11-23T01:30:05.8860920Z   test_normalize_operator_exhaustive_mode_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.056s)
2022-11-23T01:30:05.8861300Z   test_normalize_operator_exhaustive_movedim_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.015s)
2022-11-23T01:30:05.8861679Z   test_normalize_operator_exhaustive_msort_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.114s)
2022-11-23T01:30:05.8862045Z   test_normalize_operator_exhaustive_mul_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.083s)
2022-11-23T01:30:05.8862443Z   test_normalize_operator_exhaustive_multinomial_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.8862839Z   test_normalize_operator_exhaustive_mv_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2022-11-23T01:30:05.8863236Z   test_normalize_operator_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.059s)
2022-11-23T01:30:05.8863633Z   test_normalize_operator_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.062s)
2022-11-23T01:30:05.8864095Z   test_normalize_operator_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.059s)
2022-11-23T01:30:05.8864579Z   test_normalize_operator_exhaustive_nan_to_num_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.019s)
2022-11-23T01:30:05.8865059Z   test_normalize_operator_exhaustive_nanmean_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.212s)
2022-11-23T01:30:05.8865433Z   test_normalize_operator_exhaustive_nanmedian_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.128s)
2022-11-23T01:30:05.8865822Z   test_normalize_operator_exhaustive_nanquantile_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.580s)
2022-11-23T01:30:05.8866206Z   test_normalize_operator_exhaustive_nansum_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.189s)
2022-11-23T01:30:05.8866594Z   test_normalize_operator_exhaustive_narrow_copy_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.029s)
2022-11-23T01:30:05.8866966Z   test_normalize_operator_exhaustive_narrow_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.056s)
2022-11-23T01:30:05.8867357Z   test_normalize_operator_exhaustive_native_batch_norm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.099s)
2022-11-23T01:30:05.8867971Z   test_normalize_operator_exhaustive_native_dropout_backward_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: normalize operator doesn't work on torch.ops (0.004s)
2022-11-23T01:30:05.8868429Z   test_normalize_operator_exhaustive_native_layer_norm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.166s)
2022-11-23T01:30:05.8868804Z   test_normalize_operator_exhaustive_ne_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.088s)
2022-11-23T01:30:05.8869178Z   test_normalize_operator_exhaustive_neg_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2022-11-23T01:30:05.8869634Z   test_normalize_operator_exhaustive_new_empty_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.8870058Z   test_normalize_operator_exhaustive_new_empty_strided_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.8870470Z   test_normalize_operator_exhaustive_new_full_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.8870915Z   test_normalize_operator_exhaustive_new_ones_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.8871329Z   test_normalize_operator_exhaustive_new_zeros_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.8871732Z   test_normalize_operator_exhaustive_nextafter_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.048s)
2022-11-23T01:30:05.8872155Z   test_normalize_operator_exhaustive_nn_functional__scaled_dot_product_attention_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipped! (0.003s)
2022-11-23T01:30:05.8872617Z   test_normalize_operator_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.033s)
2022-11-23T01:30:05.8873057Z   test_normalize_operator_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.051s)
2022-11-23T01:30:05.8873494Z   test_normalize_operator_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.067s)
2022-11-23T01:30:05.8873912Z   test_normalize_operator_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.042s)
2022-11-23T01:30:05.8874340Z   test_normalize_operator_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.115s)
2022-11-23T01:30:05.8874764Z   test_normalize_operator_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.104s)
2022-11-23T01:30:05.8875378Z   test_normalize_operator_exhaustive_nn_functional_alpha_dropout_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.8875801Z   test_normalize_operator_exhaustive_nn_functional_avg_pool1d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.067s)
2022-11-23T01:30:05.8876215Z   test_normalize_operator_exhaustive_nn_functional_avg_pool2d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.050s)
2022-11-23T01:30:05.8876622Z   test_normalize_operator_exhaustive_nn_functional_avg_pool3d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.058s)
2022-11-23T01:30:05.8877036Z   test_normalize_operator_exhaustive_nn_functional_batch_norm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.065s)
2022-11-23T01:30:05.8877555Z   test_normalize_operator_exhaustive_nn_functional_bilinear_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.164s)
2022-11-23T01:30:05.8877979Z   test_normalize_operator_exhaustive_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.057s)
2022-11-23T01:30:05.8878423Z   test_normalize_operator_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.149s)
2022-11-23T01:30:05.8878855Z   test_normalize_operator_exhaustive_nn_functional_celu_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2022-11-23T01:30:05.8879253Z   test_normalize_operator_exhaustive_nn_functional_conv1d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.089s)
2022-11-23T01:30:05.8879658Z   test_normalize_operator_exhaustive_nn_functional_conv2d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.317s)
2022-11-23T01:30:05.8880069Z   test_normalize_operator_exhaustive_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.072s)
2022-11-23T01:30:05.8880496Z   test_normalize_operator_exhaustive_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.099s)
2022-11-23T01:30:05.8881006Z   test_normalize_operator_exhaustive_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.190s)
2022-11-23T01:30:05.8881439Z   test_normalize_operator_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.049s)
2022-11-23T01:30:05.8881912Z   test_normalize_operator_exhaustive_nn_functional_cosine_similarity_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.063s)
2022-11-23T01:30:05.8882337Z   test_normalize_operator_exhaustive_nn_functional_cross_entropy_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.103s)
2022-11-23T01:30:05.8882740Z   test_normalize_operator_exhaustive_nn_functional_ctc_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.083s)
2022-11-23T01:30:05.8883994Z   test_normalize_operator_exhaustive_nn_functional_dropout2d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead.
2022-11-23T01:30:05.8884888Z   warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise "
2022-11-23T01:30:05.8885160Z expected failure (0.005s)
2022-11-23T01:30:05.8885495Z   test_normalize_operator_exhaustive_nn_functional_dropout3d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.8885998Z   test_normalize_operator_exhaustive_nn_functional_dropout_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.8886427Z   test_normalize_operator_exhaustive_nn_functional_elu_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2022-11-23T01:30:05.8886859Z   test_normalize_operator_exhaustive_nn_functional_embedding_bag_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.8887306Z   test_normalize_operator_exhaustive_nn_functional_embedding_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.8887762Z   test_normalize_operator_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.8888253Z   test_normalize_operator_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.8888729Z   test_normalize_operator_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.8889196Z   test_normalize_operator_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.8889634Z   test_normalize_operator_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (2.287s)
2022-11-23T01:30:05.8890054Z   test_normalize_operator_exhaustive_nn_functional_gelu_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.043s)
2022-11-23T01:30:05.8890456Z   test_normalize_operator_exhaustive_nn_functional_glu_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.193s)
2022-11-23T01:30:05.8890865Z   test_normalize_operator_exhaustive_nn_functional_grid_sample_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.143s)
2022-11-23T01:30:05.8891265Z   test_normalize_operator_exhaustive_nn_functional_group_norm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.095s)
2022-11-23T01:30:05.8891675Z   test_normalize_operator_exhaustive_nn_functional_hardshrink_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.034s)
2022-11-23T01:30:05.8892136Z   test_normalize_operator_exhaustive_nn_functional_hardsigmoid_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.015s)
2022-11-23T01:30:05.8892550Z   test_normalize_operator_exhaustive_nn_functional_hardswish_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.019s)
2022-11-23T01:30:05.8892997Z   test_normalize_operator_exhaustive_nn_functional_hardtanh_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.028s)
2022-11-23T01:30:05.8893419Z   test_normalize_operator_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.057s)
2022-11-23T01:30:05.8893839Z   test_normalize_operator_exhaustive_nn_functional_huber_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.043s)
2022-11-23T01:30:05.8894254Z   test_normalize_operator_exhaustive_nn_functional_instance_norm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.069s)
2022-11-23T01:30:05.8894665Z   test_normalize_operator_exhaustive_nn_functional_interpolate_area_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.083s)
2022-11-23T01:30:05.8895096Z   test_normalize_operator_exhaustive_nn_functional_interpolate_bicubic_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.069s)
2022-11-23T01:30:05.8895535Z   test_normalize_operator_exhaustive_nn_functional_interpolate_bilinear_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.059s)
2022-11-23T01:30:05.8914063Z   test_normalize_operator_exhaustive_nn_functional_interpolate_linear_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.057s)
2022-11-23T01:30:05.8914854Z   test_normalize_operator_exhaustive_nn_functional_interpolate_nearest_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.062s)
2022-11-23T01:30:05.8915603Z   test_normalize_operator_exhaustive_nn_functional_interpolate_trilinear_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.077s)
2022-11-23T01:30:05.8917554Z   test_normalize_operator_exhaustive_nn_functional_kl_div_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release.
2022-11-23T01:30:05.8918791Z   "reduction: 'mean' divides the total loss by both the batch size and the support size."
2022-11-23T01:30:05.8919189Z ok (0.075s)
2022-11-23T01:30:05.8919690Z   test_normalize_operator_exhaustive_nn_functional_l1_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.029s)
2022-11-23T01:30:05.8920382Z   test_normalize_operator_exhaustive_nn_functional_layer_norm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.029s)
2022-11-23T01:30:05.8921092Z   test_normalize_operator_exhaustive_nn_functional_leaky_relu_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.038s)
2022-11-23T01:30:05.8921799Z   test_normalize_operator_exhaustive_nn_functional_linear_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.092s)
2022-11-23T01:30:05.8922518Z   test_normalize_operator_exhaustive_nn_functional_local_response_norm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.066s)
2022-11-23T01:30:05.8923238Z   test_normalize_operator_exhaustive_nn_functional_logsigmoid_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.017s)
2022-11-23T01:30:05.8923863Z   test_normalize_operator_exhaustive_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.116s)
2022-11-23T01:30:05.8924469Z   test_normalize_operator_exhaustive_nn_functional_max_pool1d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (4.317s)
2022-11-23T01:30:05.8924953Z   test_normalize_operator_exhaustive_nn_functional_max_pool2d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (7.440s)
2022-11-23T01:30:05.8925498Z   test_normalize_operator_exhaustive_nn_functional_max_pool3d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (2.970s)
2022-11-23T01:30:05.8925923Z   test_normalize_operator_exhaustive_nn_functional_max_unpool1d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.809s)
2022-11-23T01:30:05.8926354Z   test_normalize_operator_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.151s)
2022-11-23T01:30:05.8926842Z   test_normalize_operator_exhaustive_nn_functional_max_unpool2d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (1.666s)
2022-11-23T01:30:05.8927266Z   test_normalize_operator_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.265s)
2022-11-23T01:30:05.8927693Z   test_normalize_operator_exhaustive_nn_functional_max_unpool3d_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.574s)
2022-11-23T01:30:05.8928122Z   test_normalize_operator_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.139s)
2022-11-23T01:30:05.8928546Z   test_normalize_operator_exhaustive_nn_functional_mish_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.017s)
2022-11-23T01:30:05.8928943Z   test_normalize_operator_exhaustive_nn_functional_mse_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.031s)
2022-11-23T01:30:05.8929371Z   test_normalize_operator_exhaustive_nn_functional_multi_margin_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.025s)
2022-11-23T01:30:05.8929809Z   test_normalize_operator_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.017s)
2022-11-23T01:30:05.8930259Z   test_normalize_operator_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.031s)
2022-11-23T01:30:05.8930677Z   test_normalize_operator_exhaustive_nn_functional_nll_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.271s)
2022-11-23T01:30:05.8931091Z   test_normalize_operator_exhaustive_nn_functional_normalize_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.043s)
2022-11-23T01:30:05.8931514Z   test_normalize_operator_exhaustive_nn_functional_pad_circular_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.049s)
2022-11-23T01:30:05.8931938Z   test_normalize_operator_exhaustive_nn_functional_pad_constant_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.258s)
2022-11-23T01:30:05.8932348Z   test_normalize_operator_exhaustive_nn_functional_pad_reflect_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.067s)
2022-11-23T01:30:05.8932772Z   test_normalize_operator_exhaustive_nn_functional_pad_replicate_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.063s)
2022-11-23T01:30:05.8933205Z   test_normalize_operator_exhaustive_nn_functional_pairwise_distance_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.040s)
2022-11-23T01:30:05.8933626Z   test_normalize_operator_exhaustive_nn_functional_pdist_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.047s)
2022-11-23T01:30:05.8934030Z   test_normalize_operator_exhaustive_nn_functional_pixel_shuffle_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.029s)
2022-11-23T01:30:05.8934454Z   test_normalize_operator_exhaustive_nn_functional_pixel_unshuffle_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.043s)
2022-11-23T01:30:05.8934884Z   test_normalize_operator_exhaustive_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.495s)
2022-11-23T01:30:05.8935301Z   test_normalize_operator_exhaustive_nn_functional_prelu_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.116s)
2022-11-23T01:30:05.8935692Z   test_normalize_operator_exhaustive_nn_functional_relu6_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.015s)
2022-11-23T01:30:05.8936093Z   test_normalize_operator_exhaustive_nn_functional_relu_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.020s)
2022-11-23T01:30:05.8936528Z   test_normalize_operator_exhaustive_nn_functional_rrelu_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.8936948Z   test_normalize_operator_exhaustive_nn_functional_selu_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2022-11-23T01:30:05.8937334Z   test_normalize_operator_exhaustive_nn_functional_silu_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2022-11-23T01:30:05.8937771Z   test_normalize_operator_exhaustive_nn_functional_smooth_l1_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.040s)
2022-11-23T01:30:05.8938192Z   test_normalize_operator_exhaustive_nn_functional_soft_margin_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.035s)
2022-11-23T01:30:05.8938607Z   test_normalize_operator_exhaustive_nn_functional_softmin_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.030s)
2022-11-23T01:30:05.8939012Z   test_normalize_operator_exhaustive_nn_functional_softmin_with_dtype_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.030s)
2022-11-23T01:30:05.8939435Z   test_normalize_operator_exhaustive_nn_functional_softplus_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.027s)
2022-11-23T01:30:05.8939851Z   test_normalize_operator_exhaustive_nn_functional_softshrink_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.028s)
2022-11-23T01:30:05.8940265Z   test_normalize_operator_exhaustive_nn_functional_softsign_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2022-11-23T01:30:05.8940666Z   test_normalize_operator_exhaustive_nn_functional_tanhshrink_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2022-11-23T01:30:05.8941082Z   test_normalize_operator_exhaustive_nn_functional_threshold_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.021s)
2022-11-23T01:30:05.8941510Z   test_normalize_operator_exhaustive_nn_functional_triplet_margin_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.045s)
2022-11-23T01:30:05.8941980Z   test_normalize_operator_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.8942420Z   test_normalize_operator_exhaustive_nn_functional_unfold_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (2.180s)
2022-11-23T01:30:05.8943232Z   test_normalize_operator_exhaustive_nn_functional_upsample_bilinear_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4074: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:30:05.8943832Z   warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:30:05.8944115Z ok (0.023s)
2022-11-23T01:30:05.8944859Z   test_normalize_operator_exhaustive_nn_functional_upsample_nearest_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.
2022-11-23T01:30:05.8945448Z   warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.")
2022-11-23T01:30:05.8945727Z ok (0.063s)
2022-11-23T01:30:05.8946031Z   test_normalize_operator_exhaustive_nonzero_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.8946421Z   test_normalize_operator_exhaustive_norm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.185s)
2022-11-23T01:30:05.8946809Z   test_normalize_operator_exhaustive_norm_fro_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.017s)
2022-11-23T01:30:05.8947197Z   test_normalize_operator_exhaustive_norm_inf_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.021s)
2022-11-23T01:30:05.8947586Z   test_normalize_operator_exhaustive_norm_nuc_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.015s)
2022-11-23T01:30:05.8948029Z   test_normalize_operator_exhaustive_normal_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.8948455Z   test_normalize_operator_exhaustive_normal_number_mean_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.8948860Z   test_normalize_operator_exhaustive_ones_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.015s)
2022-11-23T01:30:05.8949270Z   test_normalize_operator_exhaustive_ones_like_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.045s)
2022-11-23T01:30:05.8949647Z   test_normalize_operator_exhaustive_ormqr_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.894s)
2022-11-23T01:30:05.8950026Z   test_normalize_operator_exhaustive_outer_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2022-11-23T01:30:05.8950427Z   test_normalize_operator_exhaustive_pca_lowrank_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.006s)
2022-11-23T01:30:05.8950834Z   test_normalize_operator_exhaustive_permute_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.023s)
2022-11-23T01:30:05.8951205Z   test_normalize_operator_exhaustive_pinverse_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.053s)
2022-11-23T01:30:05.8951591Z   test_normalize_operator_exhaustive_polar_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.068s)
2022-11-23T01:30:05.8952006Z   test_normalize_operator_exhaustive_polygamma_polygamma_n_0_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.8952455Z   test_normalize_operator_exhaustive_polygamma_polygamma_n_1_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipped! (0.003s)
2022-11-23T01:30:05.8952881Z   test_normalize_operator_exhaustive_polygamma_polygamma_n_2_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipped! (0.003s)
2022-11-23T01:30:05.8953313Z   test_normalize_operator_exhaustive_polygamma_polygamma_n_3_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipped! (0.003s)
2022-11-23T01:30:05.8953754Z   test_normalize_operator_exhaustive_polygamma_polygamma_n_4_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipped! (0.003s)
2022-11-23T01:30:05.8954169Z   test_normalize_operator_exhaustive_positive_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2022-11-23T01:30:05.8954538Z   test_normalize_operator_exhaustive_pow_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.083s)
2022-11-23T01:30:05.8954921Z   test_normalize_operator_exhaustive_prod_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.278s)
2022-11-23T01:30:05.8955298Z   test_normalize_operator_exhaustive_put_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.124s)
2022-11-23T01:30:05.8955795Z   test_normalize_operator_exhaustive_qr_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... test_fx_experimental.py:1520: UserWarning: torch.qr is deprecated in favor of torch.linalg.qr and will be removed in a future PyTorch release.
2022-11-23T01:30:05.8956341Z The boolean parameter 'some' has been replaced with a string parameter 'mode'.
2022-11-23T01:30:05.8956596Z Q, R = torch.qr(A, some)
2022-11-23T01:30:05.8956787Z should be replaced with
2022-11-23T01:30:05.8957420Z Q, R = torch.linalg.qr(A, 'reduced' if some else 'complete') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2458.)
2022-11-23T01:30:05.8957786Z   ref_out = op.op(*arg_values, **kwarg_values)
2022-11-23T01:30:05.8957989Z ok (0.253s)
2022-11-23T01:30:05.8958265Z   test_normalize_operator_exhaustive_quantile_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.778s)
2022-11-23T01:30:05.8958662Z   test_normalize_operator_exhaustive_rad2deg_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.013s)
2022-11-23T01:30:05.8959070Z   test_normalize_operator_exhaustive_rand_like_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.007s)
2022-11-23T01:30:05.8959491Z   test_normalize_operator_exhaustive_randint_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.007s)
2022-11-23T01:30:05.8959956Z   test_normalize_operator_exhaustive_randint_like_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.010s)
2022-11-23T01:30:05.8960376Z   test_normalize_operator_exhaustive_randn_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.007s)
2022-11-23T01:30:05.8960832Z   test_normalize_operator_exhaustive_randn_like_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.006s)
2022-11-23T01:30:05.8961241Z   test_normalize_operator_exhaustive_ravel_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.026s)
2022-11-23T01:30:05.8961614Z   test_normalize_operator_exhaustive_real_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.022s)
2022-11-23T01:30:05.8962003Z   test_normalize_operator_exhaustive_reciprocal_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.024s)
2022-11-23T01:30:05.8962402Z   test_normalize_operator_exhaustive_remainder_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.108s)
2022-11-23T01:30:05.8962791Z   test_normalize_operator_exhaustive_renorm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.038s)
2022-11-23T01:30:05.8963179Z   test_normalize_operator_exhaustive_repeat_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.010s)
2022-11-23T01:30:05.8963593Z   test_normalize_operator_exhaustive_repeat_interleave_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.048s)
2022-11-23T01:30:05.8964007Z   test_normalize_operator_exhaustive_reshape_as_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.010s)
2022-11-23T01:30:05.8964406Z   test_normalize_operator_exhaustive_reshape_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.036s)
2022-11-23T01:30:05.8964793Z   test_normalize_operator_exhaustive_resize__cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.007s)
2022-11-23T01:30:05.8965191Z   test_normalize_operator_exhaustive_resize_as__cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.017s)
2022-11-23T01:30:05.8965585Z   test_normalize_operator_exhaustive_resolve_conj_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.012s)
2022-11-23T01:30:05.8965975Z   test_normalize_operator_exhaustive_resolve_neg_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.012s)
2022-11-23T01:30:05.8966350Z   test_normalize_operator_exhaustive_roll_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.090s)
2022-11-23T01:30:05.8966728Z   test_normalize_operator_exhaustive_rot90_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.200s)
2022-11-23T01:30:05.8967106Z   test_normalize_operator_exhaustive_round_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2022-11-23T01:30:05.8967476Z   test_normalize_operator_exhaustive_round_decimals_0_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.021s)
2022-11-23T01:30:05.8967875Z   test_normalize_operator_exhaustive_round_decimals_3_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.024s)
2022-11-23T01:30:05.8968281Z   test_normalize_operator_exhaustive_round_decimals_neg_3_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.021s)
2022-11-23T01:30:05.8968673Z   test_normalize_operator_exhaustive_rsqrt_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.017s)
2022-11-23T01:30:05.8969035Z   test_normalize_operator_exhaustive_rsub_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.081s)
2022-11-23T01:30:05.8969437Z   test_normalize_operator_exhaustive_scalar_tensor_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.8969844Z   test_normalize_operator_exhaustive_scatter_add_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.050s)
2022-11-23T01:30:05.8970231Z   test_normalize_operator_exhaustive_scatter_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.245s)
2022-11-23T01:30:05.8970832Z   test_normalize_operator_exhaustive_scatter_reduce_amax_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... test_fx_experimental.py:1520: UserWarning: scatter_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1681.)
2022-11-23T01:30:05.8971388Z   ref_out = op.op(*arg_values, **kwarg_values)
2022-11-23T01:30:05.8971582Z ok (0.138s)
2022-11-23T01:30:05.8971906Z   test_normalize_operator_exhaustive_scatter_reduce_amin_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.136s)
2022-11-23T01:30:05.8972306Z   test_normalize_operator_exhaustive_scatter_reduce_mean_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.147s)
2022-11-23T01:30:05.8972710Z   test_normalize_operator_exhaustive_scatter_reduce_prod_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.137s)
2022-11-23T01:30:05.8973112Z   test_normalize_operator_exhaustive_scatter_reduce_sum_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.270s)
2022-11-23T01:30:05.8974258Z   test_normalize_operator_exhaustive_searchsorted_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... test_fx_experimental.py:1520: UserWarning: torch.searchsorted(): input value tensor is non-contiguous, this will lower the performance due to extra data copy when converting non-contiguous tensor to contiguous, please use contiguous input value tensor if possible. This message will only appear once per program. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BucketizationUtils.h:35.)
2022-11-23T01:30:05.8974954Z   ref_out = op.op(*arg_values, **kwarg_values)
2022-11-23T01:30:05.8975805Z test_fx_experimental.py:1520: UserWarning: torch.searchsorted(): boundary tensor is non-contiguous, this will lower the performance due to extra data copy when converting non-contiguous tensor to contiguous, please use contiguous boundary tensor if possible. This message will only appear once per program. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BucketizationUtils.h:41.)
2022-11-23T01:30:05.8976407Z   ref_out = op.op(*arg_values, **kwarg_values)
2022-11-23T01:30:05.8976598Z ok (1.253s)
2022-11-23T01:30:05.8976901Z   test_normalize_operator_exhaustive_segment_reduce_lengths_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.612s)
2022-11-23T01:30:05.8977312Z   test_normalize_operator_exhaustive_segment_reduce_offsets_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.554s)
2022-11-23T01:30:05.8977711Z   test_normalize_operator_exhaustive_select_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.028s)
2022-11-23T01:30:05.8978105Z   test_normalize_operator_exhaustive_select_scatter_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.031s)
2022-11-23T01:30:05.8978495Z   test_normalize_operator_exhaustive_sgn_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2022-11-23T01:30:05.8978876Z   test_normalize_operator_exhaustive_short_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.8979274Z   test_normalize_operator_exhaustive_sigmoid_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2022-11-23T01:30:05.8979657Z   test_normalize_operator_exhaustive_sign_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2022-11-23T01:30:05.8980056Z   test_normalize_operator_exhaustive_signal_windows_cosine_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.048s)
2022-11-23T01:30:05.8980463Z   test_normalize_operator_exhaustive_signal_windows_exponential_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.050s)
2022-11-23T01:30:05.8980882Z   test_normalize_operator_exhaustive_signal_windows_gaussian_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.050s)
2022-11-23T01:30:05.8981297Z   test_normalize_operator_exhaustive_signal_windows_kaiser_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.056s)
2022-11-23T01:30:05.8981690Z   test_normalize_operator_exhaustive_signbit_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.008s)
2022-11-23T01:30:05.8982088Z   test_normalize_operator_exhaustive_sin_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2022-11-23T01:30:05.8982465Z   test_normalize_operator_exhaustive_sinc_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2022-11-23T01:30:05.8982842Z   test_normalize_operator_exhaustive_sinh_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2022-11-23T01:30:05.8983408Z   test_normalize_operator_exhaustive_slice_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: normalize operator doesn't work on torch.ops (0.004s)
2022-11-23T01:30:05.8983840Z   test_normalize_operator_exhaustive_slice_scatter_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.135s)
2022-11-23T01:30:05.8984230Z   test_normalize_operator_exhaustive_softmax_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.036s)
2022-11-23T01:30:05.8984710Z   test_normalize_operator_exhaustive_softmax_with_dtype_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.038s)
2022-11-23T01:30:05.8985093Z   test_normalize_operator_exhaustive_sort_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.744s)
2022-11-23T01:30:05.8986213Z   test_normalize_operator_exhaustive_sparse_sampled_addmm_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_methods_invocations.py:951: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.)
2022-11-23T01:30:05.8986906Z   torch.eye(m, n, device=device, dtype=dtype)
2022-11-23T01:30:05.8987110Z ok (0.090s)
2022-11-23T01:30:05.8987409Z   test_normalize_operator_exhaustive_special_airy_ai_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2022-11-23T01:30:05.8987804Z   test_normalize_operator_exhaustive_special_bessel_j0_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2022-11-23T01:30:05.8988216Z   test_normalize_operator_exhaustive_special_bessel_j1_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2022-11-23T01:30:05.8988621Z   test_normalize_operator_exhaustive_special_bessel_y0_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2022-11-23T01:30:05.8989022Z   test_normalize_operator_exhaustive_special_bessel_y1_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.029s)
2022-11-23T01:30:05.8989436Z   test_normalize_operator_exhaustive_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.059s)
2022-11-23T01:30:05.8989869Z   test_normalize_operator_exhaustive_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.060s)
2022-11-23T01:30:05.8990501Z   test_normalize_operator_exhaustive_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.004s)
2022-11-23T01:30:05.8991186Z   test_normalize_operator_exhaustive_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.004s)
2022-11-23T01:30:05.8991642Z   test_normalize_operator_exhaustive_special_entr_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.014s)
2022-11-23T01:30:05.8992044Z   test_normalize_operator_exhaustive_special_erfcx_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.017s)
2022-11-23T01:30:05.8992462Z   test_normalize_operator_exhaustive_special_hermite_polynomial_h_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.063s)
2022-11-23T01:30:05.8992894Z   test_normalize_operator_exhaustive_special_hermite_polynomial_he_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.063s)
2022-11-23T01:30:05.8993291Z   test_normalize_operator_exhaustive_special_i0e_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.013s)
2022-11-23T01:30:05.8993686Z   test_normalize_operator_exhaustive_special_i1_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.014s)
2022-11-23T01:30:05.8994133Z   test_normalize_operator_exhaustive_special_i1e_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.013s)
2022-11-23T01:30:05.8994544Z   test_normalize_operator_exhaustive_special_laguerre_polynomial_l_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.062s)
2022-11-23T01:30:05.8995188Z   test_normalize_operator_exhaustive_special_legendre_polynomial_p_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.003s)
2022-11-23T01:30:05.8995666Z   test_normalize_operator_exhaustive_special_log_ndtr_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.017s)
2022-11-23T01:30:05.8996085Z   test_normalize_operator_exhaustive_special_modified_bessel_i0_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.017s)
2022-11-23T01:30:05.8996511Z   test_normalize_operator_exhaustive_special_modified_bessel_i1_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.017s)
2022-11-23T01:30:05.8996919Z   test_normalize_operator_exhaustive_special_modified_bessel_k0_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.017s)
2022-11-23T01:30:05.8997493Z   test_normalize_operator_exhaustive_special_modified_bessel_k1_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.017s)
2022-11-23T01:30:05.8997913Z   test_normalize_operator_exhaustive_special_ndtr_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.020s)
2022-11-23T01:30:05.8998314Z   test_normalize_operator_exhaustive_special_ndtri_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.018s)
2022-11-23T01:30:05.8998748Z   test_normalize_operator_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.8999213Z   test_normalize_operator_exhaustive_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.020s)
2022-11-23T01:30:05.8999657Z   test_normalize_operator_exhaustive_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2022-11-23T01:30:05.9000305Z   test_normalize_operator_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.004s)
2022-11-23T01:30:05.9001003Z   test_normalize_operator_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.004s)
2022-11-23T01:30:05.9001698Z   test_normalize_operator_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.004s)
2022-11-23T01:30:05.9002396Z   test_normalize_operator_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.003s)
2022-11-23T01:30:05.9002892Z   test_normalize_operator_exhaustive_special_spherical_bessel_j0_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.018s)
2022-11-23T01:30:05.9003311Z   test_normalize_operator_exhaustive_special_xlog1py_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.061s)
2022-11-23T01:30:05.9003700Z   test_normalize_operator_exhaustive_special_zeta_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.058s)
2022-11-23T01:30:05.9004092Z   test_normalize_operator_exhaustive_split_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.015s)
2022-11-23T01:30:05.9004488Z   test_normalize_operator_exhaustive_split_list_args_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.024s)
2022-11-23T01:30:05.9004894Z   test_normalize_operator_exhaustive_split_with_sizes_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.035s)
2022-11-23T01:30:05.9005268Z   test_normalize_operator_exhaustive_sqrt_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2022-11-23T01:30:05.9005710Z   test_normalize_operator_exhaustive_square_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.017s)
2022-11-23T01:30:05.9006099Z   test_normalize_operator_exhaustive_squeeze_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.037s)
2022-11-23T01:30:05.9006467Z   test_normalize_operator_exhaustive_stack_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2022-11-23T01:30:05.9006892Z   test_normalize_operator_exhaustive_std_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.095s)
2022-11-23T01:30:05.9007282Z   test_normalize_operator_exhaustive_std_mean_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.087s)
2022-11-23T01:30:05.9008121Z   test_normalize_operator_exhaustive_stft_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/functional.py:642: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.
2022-11-23T01:30:05.9008822Z Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/SpectralOps.cpp:861.)
2022-11-23T01:30:05.9009188Z   normalized, onesided, return_complex)
2022-11-23T01:30:05.9009390Z ok (0.069s)
2022-11-23T01:30:05.9009668Z   test_normalize_operator_exhaustive_sub_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.095s)
2022-11-23T01:30:05.9010032Z   test_normalize_operator_exhaustive_sum_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.158s)
2022-11-23T01:30:05.9010434Z   test_normalize_operator_exhaustive_sum_to_size_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.9010831Z   test_normalize_operator_exhaustive_svd_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (1.831s)
2022-11-23T01:30:05.9011232Z   test_normalize_operator_exhaustive_svd_lowrank_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.006s)
2022-11-23T01:30:05.9011771Z   test_normalize_operator_exhaustive_symeig_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... test_fx_experimental.py:1520: UserWarning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release.
2022-11-23T01:30:05.9012326Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion.
2022-11-23T01:30:05.9012639Z L, _ = torch.symeig(A, upper=upper)
2022-11-23T01:30:05.9012842Z should be replaced with
2022-11-23T01:30:05.9013118Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L')
2022-11-23T01:30:05.9013328Z and
2022-11-23T01:30:05.9013512Z L, V = torch.symeig(A, eigenvectors=True)
2022-11-23T01:30:05.9013710Z should be replaced with
2022-11-23T01:30:05.9014178Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2909.)
2022-11-23T01:30:05.9014543Z   ref_out = op.op(*arg_values, **kwarg_values)
2022-11-23T01:30:05.9014736Z ok (0.063s)
2022-11-23T01:30:05.9014998Z   test_normalize_operator_exhaustive_t_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.015s)
2022-11-23T01:30:05.9015391Z   test_normalize_operator_exhaustive_take_along_dim_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.032s)
2022-11-23T01:30:05.9015788Z   test_normalize_operator_exhaustive_take_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.047s)
2022-11-23T01:30:05.9016153Z   test_normalize_operator_exhaustive_tan_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.013s)
2022-11-23T01:30:05.9016530Z   test_normalize_operator_exhaustive_tanh_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.010s)
2022-11-23T01:30:05.9016917Z   test_normalize_operator_exhaustive_tensor_split_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.081s)
2022-11-23T01:30:05.9017378Z   test_normalize_operator_exhaustive_tensordot_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.015s)
2022-11-23T01:30:05.9017749Z   test_normalize_operator_exhaustive_tile_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.233s)
2022-11-23T01:30:05.9018143Z   test_normalize_operator_exhaustive_to_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... skip: Skipped! (0.003s)
2022-11-23T01:30:05.9018588Z   test_normalize_operator_exhaustive_to_sparse_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.9018990Z   test_normalize_operator_exhaustive_topk_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.089s)
2022-11-23T01:30:05.9019362Z   test_normalize_operator_exhaustive_trace_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.008s)
2022-11-23T01:30:05.9019753Z   test_normalize_operator_exhaustive_transpose_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.044s)
2022-11-23T01:30:05.9020150Z   test_normalize_operator_exhaustive_trapezoid_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.054s)
2022-11-23T01:30:05.9020540Z   test_normalize_operator_exhaustive_trapz_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.054s)
2022-11-23T01:30:05.9021097Z   test_normalize_operator_exhaustive_triangular_solve_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... test_fx_experimental.py:1520: UserWarning: torch.triangular_solve is deprecated in favor of torch.linalg.solve_triangularand will be removed in a future PyTorch release.
2022-11-23T01:30:05.9021645Z torch.linalg.solve_triangular has its arguments reversed and does not return a copy of one of the inputs.
2022-11-23T01:30:05.9021943Z X = torch.triangular_solve(B, A).solution
2022-11-23T01:30:05.9022152Z should be replaced with
2022-11-23T01:30:05.9022483Z X = torch.linalg.solve_triangular(A, B). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2224.)
2022-11-23T01:30:05.9022828Z   ref_out = op.op(*arg_values, **kwarg_values)
2022-11-23T01:30:05.9023026Z ok (0.095s)
2022-11-23T01:30:05.9023293Z   test_normalize_operator_exhaustive_tril_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.047s)
2022-11-23T01:30:05.9023674Z   test_normalize_operator_exhaustive_triu_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.043s)
2022-11-23T01:30:05.9024057Z   test_normalize_operator_exhaustive_true_divide_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.051s)
2022-11-23T01:30:05.9024443Z   test_normalize_operator_exhaustive_trunc_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2022-11-23T01:30:05.9024896Z   test_normalize_operator_exhaustive_unbind_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.057s)
2022-11-23T01:30:05.9025286Z   test_normalize_operator_exhaustive_unflatten_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.053s)
2022-11-23T01:30:05.9025680Z   test_normalize_operator_exhaustive_unfold_copy_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.140s)
2022-11-23T01:30:05.9026073Z   test_normalize_operator_exhaustive_unfold_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.9026494Z   test_normalize_operator_exhaustive_uniform_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.005s)
2022-11-23T01:30:05.9026926Z   test_normalize_operator_exhaustive_unique_consecutive_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.9027351Z   test_normalize_operator_exhaustive_unique_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.004s)
2022-11-23T01:30:05.9027737Z   test_normalize_operator_exhaustive_unsqueeze_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.047s)
2022-11-23T01:30:05.9028123Z   test_normalize_operator_exhaustive_var_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.098s)
2022-11-23T01:30:05.9028508Z   test_normalize_operator_exhaustive_var_mean_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.097s)
2022-11-23T01:30:05.9028926Z   test_normalize_operator_exhaustive_vdot_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2022-11-23T01:30:05.9029301Z   test_normalize_operator_exhaustive_view_as_complex_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.009s)
2022-11-23T01:30:05.9029705Z   test_normalize_operator_exhaustive_view_as_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.007s)
2022-11-23T01:30:05.9030133Z   test_normalize_operator_exhaustive_view_copy_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.043s)
2022-11-23T01:30:05.9030532Z   test_normalize_operator_exhaustive_view_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... expected failure (0.007s)
2022-11-23T01:30:05.9030916Z   test_normalize_operator_exhaustive_vsplit_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.018s)
2022-11-23T01:30:05.9031294Z   test_normalize_operator_exhaustive_vstack_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.007s)
2022-11-23T01:30:05.9031697Z   test_normalize_operator_exhaustive_where_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... Traceback (most recent call last):
2022-11-23T01:30:05.9032168Z   File "/opt/conda/lib/python3.7/site-packages/torch/fx/graph_module.py", line 269, in __call__
2022-11-23T01:30:05.9032474Z     return super(self.cls, obj).__call__(*args, **kwargs)  # type: ignore[misc]
2022-11-23T01:30:05.9032877Z   File "/opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1427, in _call_impl
2022-11-23T01:30:05.9033160Z     return forward_call(*input, **kwargs)
2022-11-23T01:30:05.9033373Z   File "<eval_with_key>.24201", line 5, in forward
2022-11-23T01:30:05.9033626Z     where = torch.where(arg_0, arg_1, arg_2);  arg_0 = arg_1 = arg_2 = None
2022-11-23T01:30:05.9033940Z RuntimeError: where expected condition to be a boolean tensor, but got a tensor with dtype Float
2022-11-23T01:30:05.9034137Z 
2022-11-23T01:30:05.9034368Z Call using an FX-traced Module, line 5 of the traced Module's generated forward function:
2022-11-23T01:30:05.9034635Z def forward(self, arg_0, arg_1, arg_2):
2022-11-23T01:30:05.9034882Z     where = torch.where(arg_0, arg_1, arg_2);  arg_0 = arg_1 = arg_2 = None
2022-11-23T01:30:05.9035037Z 
2022-11-23T01:30:05.9035215Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE
2022-11-23T01:30:05.9035399Z     return where
2022-11-23T01:30:05.9035504Z 
2022-11-23T01:30:05.9035563Z     
2022-11-23T01:30:05.9035657Z 
2022-11-23T01:30:05.9035738Z expected failure (0.018s)
2022-11-23T01:30:05.9036038Z   test_normalize_operator_exhaustive_xlogy_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.063s)
2022-11-23T01:30:05.9036409Z   test_normalize_operator_exhaustive_zero__cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.016s)
2022-11-23T01:30:05.9036788Z   test_normalize_operator_exhaustive_zeros_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.014s)
2022-11-23T01:30:05.9037319Z   test_normalize_operator_exhaustive_zeros_like_cpu_float32 (__main__.TestNormalizeOperatorsCPU) ... ok (0.044s)
2022-11-23T01:30:05.9037696Z   test_normalize_quantized_eb_cpu (__main__.TestNormalizeOperatorsCPU) ... ok (0.003s)
2022-11-23T01:30:05.9037885Z 
2022-11-23T01:30:05.9038087Z ----------------------------------------------------------------------
2022-11-23T01:30:05.9038336Z Ran 658 tests in 87.832s
2022-11-23T01:30:05.9038450Z 
2022-11-23T01:30:05.9038549Z OK (skipped=26, expected failures=107)
2022-11-23T01:30:05.9038683Z 
2022-11-23T01:30:05.9038753Z Generating XML reports...
2022-11-23T01:30:05.9039184Z Generated XML report: test-reports/python-unittest/test_fx_experimental/TEST-TestFXExperimental-20221123012836.xml
2022-11-23T01:30:05.9039758Z Generated XML report: test-reports/python-unittest/test_fx_experimental/TEST-TestNormalizeOperatorsCPU-20221123012836.xml
2022-11-23T01:30:05.9040019Z 
2022-11-23T01:30:05.9040391Z ##[endgroup]
2022-11-23T01:30:05.9040795Z FINISHED PRINTING LOG FILE of test_fx_experimental (/var/lib/jenkins/workspace/test/test-reports/test_fx_experimental_flzvupcw)
2022-11-23T01:30:05.9041094Z 
2022-11-23T01:30:10.8199309Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:30:11.0068519Z Ignoring disabled issues:  []
2022-11-23T01:30:11.0282419Z Running inductor/test_minifier ... [2022-11-23 01:30:11.027852]
2022-11-23T01:30:11.0284247Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_minifier.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:30:11.028172]
2022-11-23T01:31:15.4467994Z 
2022-11-23T01:31:15.4468519Z Expand the folded group to see the log file of inductor/test_minifier
2022-11-23T01:31:15.4469545Z ##[group]PRINTING LOG FILE of inductor/test_minifier (/var/lib/jenkins/workspace/test/test-reports/inductor-test_minifier_f5p3w3xz)
2022-11-23T01:31:15.4473217Z Test results will be stored in test-reports/python-unittest/inductor.test_minifier
2022-11-23T01:31:15.4473504Z 
2022-11-23T01:31:15.4473623Z Running tests...
2022-11-23T01:31:15.4478625Z ----------------------------------------------------------------------
2022-11-23T01:31:15.4479149Z   test_after_aot_cpu_accuracy_backend_passes (__main__.MinifierTests) ... ok (21.871s)
2022-11-23T01:31:15.4479713Z   test_after_aot_cpu_accuracy_error (__main__.MinifierTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:31:15.4480416Z   test_after_aot_cpu_compile_backend_passes (__main__.MinifierTests) ... ok (18.890s)
2022-11-23T01:31:15.4480819Z   test_after_aot_cpu_compile_error (__main__.MinifierTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:31:15.4481180Z   test_after_aot_cpu_runtime_backend_passes (__main__.MinifierTests) ... ok (18.887s)
2022-11-23T01:31:15.4481718Z   test_after_aot_cpu_runtime_error (__main__.MinifierTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T01:31:15.4482444Z   test_after_aot_cuda_accuracy_backend_passes (__main__.MinifierTests) ... skip: requires cuda (0.000s)
2022-11-23T01:31:15.4482793Z   test_after_aot_cuda_accuracy_error (__main__.MinifierTests) ... skip: requires cuda (0.000s)
2022-11-23T01:31:15.4483140Z   test_after_aot_cuda_compile_backend_passes (__main__.MinifierTests) ... skip: requires cuda (0.000s)
2022-11-23T01:31:15.4518430Z   test_after_aot_cuda_compile_error (__main__.MinifierTests) ... skip: requires cuda (0.000s)
2022-11-23T01:31:15.4519024Z   test_after_aot_cuda_runtime_backend_passes (__main__.MinifierTests) ... ok (0.001s)
2022-11-23T01:31:15.4519589Z   test_after_aot_cuda_runtime_error (__main__.MinifierTests) ... ok (0.001s)
2022-11-23T01:31:15.4519900Z 
2022-11-23T01:31:15.4520309Z ----------------------------------------------------------------------
2022-11-23T01:31:15.4520733Z Ran 12 tests in 59.655s
2022-11-23T01:31:15.4520936Z 
2022-11-23T01:31:15.4521061Z OK (skipped=7)
2022-11-23T01:31:15.4521254Z 
2022-11-23T01:31:15.4521364Z Generating XML reports...
2022-11-23T01:31:15.4521805Z Generated XML report: test-reports/python-unittest/inductor.test_minifier/TEST-MinifierTests-20221123013015.xml
2022-11-23T01:31:15.4522041Z 
2022-11-23T01:31:15.4522381Z ##[endgroup]
2022-11-23T01:31:15.4522797Z FINISHED PRINTING LOG FILE of inductor/test_minifier (/var/lib/jenkins/workspace/test/test-reports/inductor-test_minifier_f5p3w3xz)
2022-11-23T01:31:15.4523030Z 
2022-11-23T01:31:20.5055544Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:31:20.6785661Z Ignoring disabled issues:  []
2022-11-23T01:31:20.6997867Z Running dynamo/test_unspec ... [2022-11-23 01:31:20.699408]
2022-11-23T01:31:20.7000701Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_unspec.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:31:20.699802]
2022-11-23T01:31:44.0646816Z 
2022-11-23T01:31:44.0649096Z Expand the folded group to see the log file of dynamo/test_unspec
2022-11-23T01:31:44.0650196Z ##[group]PRINTING LOG FILE of dynamo/test_unspec (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_unspec_zyq4qdbo)
2022-11-23T01:31:44.0651282Z Test results will be stored in test-reports/python-unittest/dynamo.test_unspec
2022-11-23T01:31:44.0651537Z 
2022-11-23T01:31:44.0651646Z Running tests...
2022-11-23T01:31:44.0653833Z ----------------------------------------------------------------------
2022-11-23T01:31:44.0718435Z   test_basicmodule1_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... ok (0.533s)
2022-11-23T01:31:44.0719198Z   test_basicmodule2_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:31:44.0719880Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:31:44.0720292Z ok (0.029s)
2022-11-23T01:31:44.0720844Z   test_call_fn_with_non_const_inputs_safe_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0721728Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:31:44.0722220Z ok (0.027s)
2022-11-23T01:31:44.0723115Z   test_cfgmod_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:31:44.0742870Z ok (0.057s)
2022-11-23T01:31:44.0743493Z   test_children_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:31:44.0743802Z ok (0.048s)
2022-11-23T01:31:44.0744326Z   test_constloop_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:31:44.0744839Z ok (0.058s)
2022-11-23T01:31:44.0745221Z   test_densenet_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0745707Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:31:44.0745955Z ok (0.034s)
2022-11-23T01:31:44.0746207Z   test_enumvalues_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0746834Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:31:44.0747244Z ok (0.032s)
2022-11-23T01:31:44.0747875Z   test_fnmember_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:31:44.0748171Z ok (0.025s)
2022-11-23T01:31:44.0748593Z   test_fnmembercmp1_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:31:44.0749051Z ok (0.027s)
2022-11-23T01:31:44.0749772Z   test_fnmembercmp2_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:31:44.0750328Z ok (0.112s)
2022-11-23T01:31:44.0750668Z   test_forward_directly_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0751044Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:31:44.0751272Z ok (0.042s)
2022-11-23T01:31:44.0751528Z   test_generation_tag_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... ok (0.004s)
2022-11-23T01:31:44.0752307Z   test_hasattr_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:31:44.0752818Z ok (0.019s)
2022-11-23T01:31:44.0753466Z   test_intarg_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:31:44.0753931Z ok (0.026s)
2022-11-23T01:31:44.0754673Z   test_iseval1_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:31:44.0755052Z ok (0.024s)
2022-11-23T01:31:44.0755464Z   test_iseval2_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:31:44.0755889Z ok (0.024s)
2022-11-23T01:31:44.0756290Z   test_isnonelayer_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:31:44.0756583Z ok (0.021s)
2022-11-23T01:31:44.0757043Z   test_istraining1_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:31:44.0757475Z ok (0.024s)
2022-11-23T01:31:44.0757889Z   test_istraining2_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:31:44.0758319Z ok (0.025s)
2022-11-23T01:31:44.0758949Z   test_layerlist_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:31:44.0759435Z ok (0.036s)
2022-11-23T01:31:44.0760589Z   test_lazy_module_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:31:44.0761683Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:31:44.0762767Z [2022-11-23 01:31:26,036] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.7/site-packages/torch/nn/parameter.py <function UninitializedTensorMixin.materialize at 0x7f3cf7047b00> [ShapeVariable()] {} missing a required argument: 'shape'
2022-11-23T01:31:44.0763527Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:31:44.0764004Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:31:44.0764580Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:31:44.0765066Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:31:44.0765736Z [2022-11-23 01:31:26,073] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.7/site-packages/torch/nn/parameter.py <function UninitializedTensorMixin.materialize at 0x7f3cf7047b00> [ShapeVariable()] {} missing a required argument: 'shape'
2022-11-23T01:31:44.0766485Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:31:44.0766961Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:31:44.0767250Z frames [('total', 16), ('ok', 14)]
2022-11-23T01:31:44.0768002Z inline_call [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2), ('call_function UserDefinedObjectVariable(_infer_parameters) [NNModuleVariable(), TupleVariable()] {}', 1), ('call_function UserDefinedObjectVariable(_infer_parameters) [UnspecializedNNModuleVariable(LazyModule), TupleVariable()] {}', 1)]
2022-11-23T01:31:44.0768682Z unimplemented [("Guard setup for uninitialized class <class 'test_modules.LazyModule'>", 2)]
2022-11-23T01:31:44.0769076Z graph_break [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2)]
2022-11-23T01:31:44.0769448Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:31:44.0769677Z ok (0.124s)
2022-11-23T01:31:44.0769939Z   test_module_attribute_precedence_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0770333Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:31:44.0770563Z ok (0.021s)
2022-11-23T01:31:44.0770912Z   test_module_class_method_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0771299Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:31:44.0771527Z ok (0.059s)
2022-11-23T01:31:44.0771952Z   test_module_name_string_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:31:44.0772239Z ok (0.028s)
2022-11-23T01:31:44.0772548Z   test_module_property_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0772931Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:31:44.0773148Z ok (0.012s)
2022-11-23T01:31:44.0773407Z   test_module_static_method_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0773786Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:31:44.0774016Z ok (0.058s)
2022-11-23T01:31:44.0774420Z   test_moduledict_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:31:44.0774715Z ok (0.021s)
2022-11-23T01:31:44.0775128Z   test_modulelist_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 40), ('fusions_possible', 39), ('unique_graphs', 1)]
2022-11-23T01:31:44.0775402Z ok (0.247s)
2022-11-23T01:31:44.0775701Z   test_modulemethod1_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0776077Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:31:44.0776303Z ok (0.061s)
2022-11-23T01:31:44.0776540Z   test_modulemethod2_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0776917Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:31:44.0777146Z ok (0.063s)
2022-11-23T01:31:44.0777580Z   test_nn_moduledict_contains_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)]
2022-11-23T01:31:44.0777919Z frames [('total', 2), ('ok', 1)]
2022-11-23T01:31:44.0778198Z inline_call [('Patched init cannot be inlined.', 1)]
2022-11-23T01:31:44.0778657Z unimplemented [("Guard setup for uninitialized class <class 'test_modules.NNModuleTests.test_nn_moduledict_contains.<locals>.M'>", 1)]
2022-11-23T01:31:44.0779045Z graph_break [('Patched init cannot be inlined.', 1)]
2022-11-23T01:31:44.0779257Z ok (0.032s)
2022-11-23T01:31:44.0779512Z   test_parameters1_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0779886Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:31:44.0780098Z ok (0.016s)
2022-11-23T01:31:44.0780349Z   test_parameters2_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0780724Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:31:44.0780936Z ok (0.016s)
2022-11-23T01:31:44.0781353Z   test_parameters3_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:31:44.0781646Z ok (0.039s)
2022-11-23T01:31:44.0782047Z   test_self_mutating1_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2022-11-23T01:31:44.0782341Z ok (0.080s)
2022-11-23T01:31:44.0782739Z   test_seq_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:31:44.0783021Z ok (0.039s)
2022-11-23T01:31:44.0783565Z   test_simple_torch_function_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:31:44.0784091Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:31:44.0784348Z inline_call []
2022-11-23T01:31:44.0784727Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:31:44.0785206Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:31:44.0785652Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:31:44.0785908Z ok (0.023s)
2022-11-23T01:31:44.0786314Z   test_stringmember_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:31:44.0786611Z ok (0.025s)
2022-11-23T01:31:44.0786866Z   test_submodules1_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0787237Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:31:44.0787450Z ok (0.053s)
2022-11-23T01:31:44.0787702Z   test_submodules2_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0788075Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:31:44.0788288Z ok (0.053s)
2022-11-23T01:31:44.0788534Z   test_super1_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0788902Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:31:44.0789115Z ok (0.033s)
2022-11-23T01:31:44.0789371Z   test_super_class_method_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0789749Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:31:44.0789962Z ok (0.012s)
2022-11-23T01:31:44.0790373Z   test_tensorlist_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:31:44.0790670Z ok (0.023s)
2022-11-23T01:31:44.0791228Z   test_torch_function_with_closure_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:31:44.0791696Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:31:44.0792078Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:31:44.0792567Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:31:44.0792969Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:31:44.0793206Z ok (0.018s)
2022-11-23T01:31:44.0793569Z   test_unsupportedmethod_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:31:44.0794183Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:31:44.0794467Z unimplemented []
2022-11-23T01:31:44.0794851Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:31:44.0795270Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)]
2022-11-23T01:31:44.0795502Z ok (0.058s)
2022-11-23T01:31:44.0795849Z   test_unsupportedmodule_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:31:44.0796328Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:31:44.0796618Z unimplemented []
2022-11-23T01:31:44.0796990Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:31:44.0797707Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)]
2022-11-23T01:31:44.0798164Z ok (0.059s)
2022-11-23T01:31:44.0798561Z   test_viamodulecall_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0799181Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:31:44.0799592Z ok (0.031s)
2022-11-23T01:31:44.0800209Z   test_Size_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:31:44.0801105Z inline_call [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.7/unittest/case.py', 1)]
2022-11-23T01:31:44.0801591Z unimplemented []
2022-11-23T01:31:44.0802198Z graph_break [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.7/unittest/case.py', 1)]
2022-11-23T01:31:44.0802583Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:31:44.0802982Z ok (0.015s)
2022-11-23T01:31:44.0803641Z   test_abc_setattr_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:31:44.0803957Z unimplemented []
2022-11-23T01:31:44.0804379Z graph_break [('setattr(UserDefinedObjectVariable) <function ReproTests.test_abc_setattr.<locals>.Derived.__setattr__ at 0x7f3cdb76b290>', 1)]
2022-11-23T01:31:44.0804712Z inline_call []
2022-11-23T01:31:44.0805012Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:31:44.0805224Z ok (0.016s)
2022-11-23T01:31:44.0805578Z   test_batch_norm_act_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:31:44.0805979Z inline_call [('data dependent operator: aten._local_scalar_dense.default', 2)]
2022-11-23T01:31:44.0806231Z unimplemented []
2022-11-23T01:31:44.0806531Z graph_break [('data dependent operator: aten._local_scalar_dense.default', 2)]
2022-11-23T01:31:44.0806903Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:31:44.0807136Z ok (0.055s)
2022-11-23T01:31:44.0807498Z   test_bigbird_unsqueeze_inplace_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:31:44.0807896Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:31:44.0808183Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T01:31:44.0808358Z ok (0.684s)
2022-11-23T01:31:44.0808608Z   test_boxes_len_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0808983Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:31:44.0809208Z ok (0.014s)
2022-11-23T01:31:44.0809451Z   test_chunk_reformer_ff_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0809834Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:31:44.0810062Z ok (0.350s)
2022-11-23T01:31:44.0810465Z   test_class_member_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:31:44.0810757Z ok (0.017s)
2022-11-23T01:31:44.0811133Z   test_convert_boxes_to_pooler_format_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:31:44.0811407Z inline_call []
2022-11-23T01:31:44.0811569Z unimplemented []
2022-11-23T01:31:44.0811843Z graph_break [('dynamic shapes: repeat_interleave', 2)]
2022-11-23T01:31:44.0812191Z stats [('calls_captured', 10), ('fusions_possible', 6), ('unique_graphs', 4)]
2022-11-23T01:31:44.0812406Z ok (0.082s)
2022-11-23T01:31:44.0838352Z   test_create_rand_mask_from_inputs_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0841610Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T01:31:44.0842095Z ok (1.415s)
2022-11-23T01:31:44.0842544Z   test_dict_iter_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... ok (0.007s)
2022-11-23T01:31:44.0843508Z   test_dict_list_values_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 8), ('ok', 8)]
2022-11-23T01:31:44.0843924Z unimplemented []
2022-11-23T01:31:44.0844658Z graph_break [('call_function in skip_files Builtin count', 2), ('call_function BuiltinVariable(zip) [UserDefinedObjectVariable(count), ListVariable()] {}', 2)]
2022-11-23T01:31:44.0845257Z ok (0.026s)
2022-11-23T01:31:44.0846000Z   test_do_paste_mask_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 13), ('ok', 12)]
2022-11-23T01:31:44.0846514Z unimplemented [('Dynamic slicing not supported', 1)]
2022-11-23T01:31:44.0847031Z graph_break [('dynamic shapes: arange', 7), ('Dynamic slicing not supported', 4)]
2022-11-23T01:31:44.0847674Z stats [('calls_captured', 131), ('fusions_possible', 119), ('unique_graphs', 12)]
2022-11-23T01:31:44.0848071Z ok (1.191s)
2022-11-23T01:31:44.0848700Z   test_ellipsis_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:31:44.0848996Z ok (0.043s)
2022-11-23T01:31:44.0849328Z   test_exec_import_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:31:44.0849735Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:31:44.0849994Z unimplemented []
2022-11-23T01:31:44.0850417Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:31:44.0850823Z ok (0.007s)
2022-11-23T01:31:44.0851489Z   test_exec_wildcard_import_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:31:44.0852054Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:31:44.0852459Z unimplemented []
2022-11-23T01:31:44.0852978Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:31:44.0853682Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:31:44.0854050Z ok (0.020s)
2022-11-23T01:31:44.0854682Z   test_for_loop_graph_break_before_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:31:44.0855082Z unimplemented []
2022-11-23T01:31:44.0855770Z graph_break [('call_function in skip_files /opt/conda/lib/python3.7/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T01:31:44.0856265Z inline_call []
2022-11-23T01:31:44.0856724Z stats [('calls_captured', 100), ('fusions_possible', 99), ('unique_graphs', 1)]
2022-11-23T01:31:44.0857004Z ok (0.227s)
2022-11-23T01:31:44.0857353Z   test_for_loop_graph_break_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:31:44.0857618Z inline_call []
2022-11-23T01:31:44.0857990Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.7/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T01:31:44.0858398Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:31:44.0858615Z ok (0.017s)
2022-11-23T01:31:44.0858880Z   test_get_parameter_dtype_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0859266Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:31:44.0859483Z ok (0.016s)
2022-11-23T01:31:44.0859773Z   test_grad_mode_carrying_correct_state_after_graph_break_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... Break
2022-11-23T01:31:44.0860102Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:31:44.0860279Z unimplemented []
2022-11-23T01:31:44.0860608Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:31:44.0860984Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:31:44.0861195Z ok (0.017s)
2022-11-23T01:31:44.0861563Z   test_guard_fail_nested_tuple_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:31:44.0862048Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:31:44.0862272Z ok (0.021s)
2022-11-23T01:31:44.0862621Z   test_guard_fail_tensor_bool_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 12), ('ok', 12)]
2022-11-23T01:31:44.0863018Z unimplemented [('FOR_ITER UserDefinedObjectVariable(product)', 1)]
2022-11-23T01:31:44.0863684Z graph_break [('call torch._dynamo.disable() wrapped function <function ReproTests.test_guard_fail_tensor_bool.<locals>.fn.<locals>.get_expected at 0x7f3cf6a7f0e0>', 5), ('data dependent operator: aten.allclose.default', 5)]
2022-11-23T01:31:44.0864192Z stats [('calls_captured', 5), ('unique_graphs', 5), ('fusions_possible', 0)]
2022-11-23T01:31:44.0864407Z ok (0.096s)
2022-11-23T01:31:44.0864760Z   test_guard_ordering_shape_fail_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... ok (0.002s)
2022-11-23T01:31:44.0865105Z   test_hf_model_output_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0865475Z stats [('calls_captured', 4), ('unique_graphs', 4), ('fusions_possible', 0)]
2022-11-23T01:31:44.0865707Z ok (0.082s)
2022-11-23T01:31:44.0866050Z   test_hf_t5_forward_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0866418Z stats [('calls_captured', 11), ('fusions_possible', 10), ('unique_graphs', 1)]
2022-11-23T01:31:44.0866649Z ok (4.800s)
2022-11-23T01:31:44.0867014Z   test_indexing_with_list_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:31:44.0867335Z inline_call [('Tensor.numpy', 1)]
2022-11-23T01:31:44.0867521Z unimplemented []
2022-11-23T01:31:44.0867756Z graph_break [('Tensor.numpy', 1)]
2022-11-23T01:31:44.0868079Z stats [('unique_graphs', 2), ('calls_captured', 0), ('fusions_possible', -2)]
2022-11-23T01:31:44.0868294Z ok (0.026s)
2022-11-23T01:31:44.0868555Z   test_is_symbolic_tracing_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0868943Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:31:44.0869160Z ok (0.009s)
2022-11-23T01:31:44.0869412Z   test_isinstance_dtype_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... ok (0.004s)
2022-11-23T01:31:44.0869852Z   test_isinstance_storage_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 12), ('ok', 11)]
2022-11-23T01:31:44.0870126Z unimplemented []
2022-11-23T01:31:44.0870594Z graph_break [('call_function BuiltinVariable(bytearray) [ListVariable()] {}', 1), ('inline in skipfiles: from_buffer /opt/conda/lib/python3.7/site-packages/torch/storage.py', 1)]
2022-11-23T01:31:44.0871122Z inline_call [('inline in skipfiles: from_buffer /opt/conda/lib/python3.7/site-packages/torch/storage.py', 1)]
2022-11-23T01:31:44.0871812Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:31:44.0872317Z   warnings.warn(message, UserWarning)
2022-11-23T01:31:44.0872520Z expected failure (0.022s)
2022-11-23T01:31:44.0872799Z   test_issue1466_size_aot_autograd_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... arf
2022-11-23T01:31:44.0873049Z arf
2022-11-23T01:31:44.0873245Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:31:44.0873437Z unimplemented []
2022-11-23T01:31:44.0873775Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:31:44.0874157Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:31:44.0874437Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T01:31:44.0874627Z ok (0.043s)
2022-11-23T01:31:44.0874873Z   test_issue175_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0875231Z stats [('calls_captured', 12), ('fusions_possible', 11), ('unique_graphs', 1)]
2022-11-23T01:31:44.0875524Z ok (0.150s)
2022-11-23T01:31:44.0875950Z   test_longformer_chunk_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:31:44.0876234Z ok (1.637s)
2022-11-23T01:31:44.0876594Z   test_maml_item_capture_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:31:44.0877031Z inline_call [('inlining disallowed: <function grad at 0x7f3cf6d954d0>', 1)]
2022-11-23T01:31:44.0877422Z unimplemented []
2022-11-23T01:31:44.0877840Z graph_break [('call_function in skip_files /opt/conda/lib/python3.7/copy.py', 1), ('inlining disallowed: <function grad at 0x7f3cf6d954d0>', 1)]
2022-11-23T01:31:44.0878262Z stats [('calls_captured', 29), ('fusions_possible', 27), ('unique_graphs', 2)]
2022-11-23T01:31:44.0878496Z ok (0.181s)
2022-11-23T01:31:44.0878846Z   test_maml_no_item_capture_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:31:44.0879247Z inline_call [('inlining disallowed: <function grad at 0x7f3cf6d954d0>', 1)]
2022-11-23T01:31:44.0879493Z unimplemented []
2022-11-23T01:31:44.0879936Z graph_break [('Tensor.item', 2), ('call_function in skip_files /opt/conda/lib/python3.7/copy.py', 1), ('inlining disallowed: <function grad at 0x7f3cf6d954d0>', 1)]
2022-11-23T01:31:44.0880458Z stats [('calls_captured', 29), ('fusions_possible', 25), ('unique_graphs', 4)]
2022-11-23T01:31:44.0880688Z ok (0.204s)
2022-11-23T01:31:44.0881088Z   test_modules_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:31:44.0881385Z ok (0.036s)
2022-11-23T01:31:44.0881741Z   test_multi_dot_import_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:31:44.0882206Z inline_call [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.7/site-packages/torch/fx/_symbolic_trace.py', 1)]
2022-11-23T01:31:44.0882500Z unimplemented []
2022-11-23T01:31:44.0882890Z graph_break [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.7/site-packages/torch/fx/_symbolic_trace.py', 1)]
2022-11-23T01:31:44.0883304Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:31:44.0883520Z ok (0.015s)
2022-11-23T01:31:44.0883797Z   test_multi_import_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... skip: requires detectron2 (0.001s)
2022-11-23T01:31:44.0884319Z   test_named_buffers_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:31:44.0884597Z ok (0.020s)
2022-11-23T01:31:44.0884946Z   test_nn_parameter_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:31:44.0885366Z inline_call [('inline in skipfiles: assertTrue /opt/conda/lib/python3.7/unittest/case.py', 1)]
2022-11-23T01:31:44.0885626Z unimplemented []
2022-11-23T01:31:44.0885959Z graph_break [('inline in skipfiles: assertTrue /opt/conda/lib/python3.7/unittest/case.py', 1)]
2022-11-23T01:31:44.0886340Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:31:44.0886569Z ok (0.015s)
2022-11-23T01:31:44.0886941Z   test_not_rewrite_assert_for_other_errors_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:31:44.0887352Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:31:44.0887582Z ok (0.013s)
2022-11-23T01:31:44.0887971Z   test_not_rewrite_assert_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... unimplemented [('generic_jump TensorVariable()', 1)]
2022-11-23T01:31:44.0888259Z ok (0.008s)
2022-11-23T01:31:44.0888600Z   test_numpy_list_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 2), ('ok', 1)]
2022-11-23T01:31:44.0888860Z unimplemented []
2022-11-23T01:31:44.0889266Z graph_break [('call torch._dynamo.disable() wrapped function <function ReproTests.test_numpy_list.<locals>.rand_gen at 0x7f3ced771320>', 1)]
2022-11-23T01:31:44.0889652Z expected failure (0.044s)
2022-11-23T01:31:44.0890033Z   test_optimized_deepcopy_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:31:44.0890421Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:31:44.0890648Z ok (0.032s)
2022-11-23T01:31:44.0891203Z   test_primtorch_no_graph_break_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.7/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T01:31:44.0891573Z expected failure (0.006s)
2022-11-23T01:31:44.0891923Z   test_primtorch_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:31:44.0892384Z inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.7/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T01:31:44.0892672Z unimplemented []
2022-11-23T01:31:44.0893037Z graph_break [('inline in skipfiles: _fn /opt/conda/lib/python3.7/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T01:31:44.0893311Z ok (0.007s)
2022-11-23T01:31:44.0893669Z   test_recursive_map_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:31:44.0893924Z inline_call []
2022-11-23T01:31:44.0894238Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:31:44.0894461Z ok (0.021s)
2022-11-23T01:31:44.0894697Z   test_reformer_eval_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0895072Z stats [('calls_captured', 10), ('fusions_possible', 9), ('unique_graphs', 1)]
2022-11-23T01:31:44.0895294Z ok (0.076s)
2022-11-23T01:31:44.0895542Z   test_reformer_min_chunk_len_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0895918Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:31:44.0896144Z ok (0.016s)
2022-11-23T01:31:44.0896395Z   test_reformer_sorting_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... inline_call []
2022-11-23T01:31:44.0896760Z stats [('calls_captured', 14), ('fusions_possible', 13), ('unique_graphs', 1)]
2022-11-23T01:31:44.0896984Z ok (0.218s)
2022-11-23T01:31:44.0897332Z   test_reformer_train_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:31:44.0897795Z inline_call [('inline in skipfiles: save_for_backward /opt/conda/lib/python3.7/site-packages/torch/autograd/function.py', 1)]
2022-11-23T01:31:44.0898085Z unimplemented []
2022-11-23T01:31:44.0898548Z graph_break [('autograd.Function with requires_grad', 1), ('inline in skipfiles: save_for_backward /opt/conda/lib/python3.7/site-packages/torch/autograd/function.py', 1)]
2022-11-23T01:31:44.0899004Z stats [('calls_captured', 10), ('fusions_possible', 6), ('unique_graphs', 4)]
2022-11-23T01:31:44.0899217Z ok (0.111s)
2022-11-23T01:31:44.0899611Z   test_reinplacing_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:31:44.0899944Z frames [('total', 1), ('ok', 1)]
2022-11-23T01:31:44.0900240Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:31:44.0900522Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T01:31:44.0900705Z ok (2.527s)
2022-11-23T01:31:44.0901138Z   test_relative_import_no_modulename_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:31:44.0901440Z ok (0.013s)
2022-11-23T01:31:44.0901856Z   test_relative_import_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:31:44.0902147Z ok (0.011s)
2022-11-23T01:31:44.0902554Z   test_rewrite_assert_noop_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2022-11-23T01:31:44.0902889Z ok (0.035s)
2022-11-23T01:31:44.0903303Z   test_rewrite_assert_with_fstring_msg_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... unimplemented [('generic_jump TensorVariable()', 1)]
2022-11-23T01:31:44.0903586Z ok (0.008s)
2022-11-23T01:31:44.0904045Z   test_rewrite_assert_with_msg_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 18), ('fusions_possible', 15), ('unique_graphs', 3)]
2022-11-23T01:31:44.0904345Z ok (0.042s)
2022-11-23T01:31:44.0904852Z   test_rewrite_assert_without_msg_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 12), ('fusions_possible', 10), ('unique_graphs', 2)]
2022-11-23T01:31:44.0905141Z ok (0.028s)
2022-11-23T01:31:44.0905479Z   test_rng_state_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:31:44.0905862Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:31:44.0906072Z ok (0.020s)
2022-11-23T01:31:44.0906491Z   test_seq_append_list_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:31:44.0906781Z ok (0.049s)
2022-11-23T01:31:44.0907502Z   test_sigmoid_out_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1535: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:31:44.0908215Z   torch.sigmoid(inp, out=out1)
2022-11-23T01:31:44.0908455Z frames [('total', 2), ('ok', 2)]
2022-11-23T01:31:44.0908724Z inline_call [('missing: BUILD_MAP_UNPACK_WITH_CALL', 1)]
2022-11-23T01:31:44.0908944Z unimplemented []
2022-11-23T01:31:44.0909217Z graph_break [('missing: BUILD_MAP_UNPACK_WITH_CALL', 1)]
2022-11-23T01:31:44.0909542Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:31:44.0910485Z /opt/conda/lib/python3.7/site-packages/torch/_prims_common/wrappers.py:145: UserWarning: An output with one or more elements was resized since it had shape torch.Size([]) which does not match the required output shape {str(shape)}. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0).
2022-11-23T01:31:44.0911081Z   warnings.warn(msg)
2022-11-23T01:31:44.0911693Z <string>:7: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:31:44.0912266Z ok (0.041s)
2022-11-23T01:31:44.0912690Z   test_slice_into_list_mutable_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 30), ('fusions_possible', 29), ('unique_graphs', 1)]
2022-11-23T01:31:44.0912987Z ok (0.070s)
2022-11-23T01:31:44.0913361Z   test_slicing_dynamic_shape_setitem_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 3), ('ok', 1)]
2022-11-23T01:31:44.0913728Z unimplemented [('Dynamic slicing not supported', 2)]
2022-11-23T01:31:44.0914016Z graph_break [('Dynamic slicing not supported', 1)]
2022-11-23T01:31:44.0914394Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:31:44.0914614Z ok (0.019s)
2022-11-23T01:31:44.0914957Z   test_slicing_dynamic_shape_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:31:44.0915317Z unimplemented [('Dynamic slicing not supported', 2)]
2022-11-23T01:31:44.0915658Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:31:44.0915866Z ok (0.018s)
2022-11-23T01:31:44.0916615Z   test_sort_out_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:31:44.0917485Z   torch.sort(tensor, out=(values1, indices1))
2022-11-23T01:31:44.0917744Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:31:44.0918024Z inline_call [('missing: BUILD_MAP_UNPACK_WITH_CALL', 2)]
2022-11-23T01:31:44.0918229Z unimplemented []
2022-11-23T01:31:44.0918503Z graph_break [('missing: BUILD_MAP_UNPACK_WITH_CALL', 2)]
2022-11-23T01:31:44.0918842Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:31:44.0919855Z /opt/conda/lib/python3.7/site-packages/torch/_dynamo/utils.py:1103: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:31:44.0920511Z   return node.target(*args, **kwargs)
2022-11-23T01:31:44.0921136Z <string>:9: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:31:44.0921708Z ok (0.071s)
2022-11-23T01:31:44.0922070Z   test_specialized_stride_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:31:44.0922454Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:31:44.0922682Z ok (0.007s)
2022-11-23T01:31:44.0923044Z   test_tensor_isinstance_tuple_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:31:44.0923440Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:31:44.0923651Z ok (0.008s)
2022-11-23T01:31:44.0923999Z   test_tokenization_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:31:44.0924421Z inline_call [('inline in skipfiles: __init__ /opt/conda/lib/python3.7/collections/__init__.py', 2)]
2022-11-23T01:31:44.0924666Z unimplemented []
2022-11-23T01:31:44.0925008Z graph_break [('inline in skipfiles: __init__ /opt/conda/lib/python3.7/collections/__init__.py', 2)]
2022-11-23T01:31:44.0925256Z ok (0.013s)
2022-11-23T01:31:44.0925659Z   test_torch_ops_aten_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:31:44.0925951Z ok (0.019s)
2022-11-23T01:31:44.0926375Z   test_vdd_duplicate_error_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:31:44.0926744Z ok (0.022s)
2022-11-23T01:31:44.0927093Z   test_while_loop_graph_break_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:31:44.0927357Z inline_call []
2022-11-23T01:31:44.0927725Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.7/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T01:31:44.0928154Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:31:44.0928381Z ok (0.012s)
2022-11-23T01:31:44.0928640Z   test_with_on_graph_break_inst_unspec (__main__.make_unspec_cls.<locals>.UnspecTest) ... Hello world
2022-11-23T01:31:44.0928889Z Hello world
2022-11-23T01:31:44.0929089Z frames [('total', 6), ('ok', 6)]
2022-11-23T01:31:44.0929426Z inline_call [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:31:44.0929683Z unimplemented []
2022-11-23T01:31:44.0930034Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 2), ('Tensor.backward', 1)]
2022-11-23T01:31:44.0930426Z stats [('calls_captured', 11), ('fusions_possible', 7), ('unique_graphs', 4)]
2022-11-23T01:31:44.0930651Z ok (0.046s)
2022-11-23T01:31:44.0930881Z   test_builtin_functions_on_cuda (__main__.UnspecTests) ... skip: requires cuda (0.001s)
2022-11-23T01:31:44.0931239Z   test_builtin_getitem (__main__.UnspecTests) ... frames [('total', 1)]
2022-11-23T01:31:44.0931472Z expected failure (0.010s)
2022-11-23T01:31:44.0931777Z   test_builtin_max_min (__main__.UnspecTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:31:44.0932129Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:31:44.0932350Z ok (0.019s)
2022-11-23T01:31:44.0932678Z   test_feed_random_values_into_graph_only (__main__.UnspecTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:31:44.0933037Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:31:44.0933261Z ok (0.016s)
2022-11-23T01:31:44.0933612Z   test_multiple_consecutive_random_calls_before_graph (__main__.UnspecTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:31:44.0933986Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:31:44.0934211Z ok (0.015s)
2022-11-23T01:31:44.0934510Z   test_no_recompilations (__main__.UnspecTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:31:44.0934870Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:31:44.0935080Z ok (0.013s)
2022-11-23T01:31:44.0935381Z   test_numpy_correctness (__main__.UnspecTests) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:31:44.0935727Z unimplemented [('reconstruct: ConstantVariable(float64)', 1)]
2022-11-23T01:31:44.0936021Z graph_break [('Tensor.numpy', 2), ('numpy', 2)]
2022-11-23T01:31:44.0936351Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:31:44.0936573Z ok (0.051s)
2022-11-23T01:31:44.0936877Z   test_random_call_with_while_loop (__main__.UnspecTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:31:44.0937242Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:31:44.0937462Z ok (0.013s)
2022-11-23T01:31:44.0937769Z   test_random_values_with_graph_break (__main__.UnspecTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:31:44.0938020Z unimplemented []
2022-11-23T01:31:44.0938248Z graph_break [('Tensor.item', 2)]
2022-11-23T01:31:44.0938562Z stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)]
2022-11-23T01:31:44.0938776Z ok (0.035s)
2022-11-23T01:31:44.0939083Z   test_unspec_float_precision (__main__.UnspecTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:31:44.0939446Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:31:44.0939652Z ok (0.276s)
2022-11-23T01:31:44.0939751Z 
2022-11-23T01:31:44.0939947Z ----------------------------------------------------------------------
2022-11-23T01:31:44.0940248Z Ran 128 tests in 18.202s
2022-11-23T01:31:44.0940362Z 
2022-11-23T01:31:44.0940443Z OK (skipped=2, expected failures=4)
2022-11-23T01:31:44.0940583Z 
2022-11-23T01:31:44.0940666Z Generating XML reports...
2022-11-23T01:31:44.0941088Z Generated XML report: test-reports/python-unittest/dynamo.test_unspec/TEST-UnspecNNModuleTests-20221123013124.xml
2022-11-23T01:31:44.0941659Z Generated XML report: test-reports/python-unittest/dynamo.test_unspec/TEST-UnspecReproTests-20221123013124.xml
2022-11-23T01:31:44.0942152Z Generated XML report: test-reports/python-unittest/dynamo.test_unspec/TEST-UnspecTests-20221123013124.xml
2022-11-23T01:31:44.0942375Z 
2022-11-23T01:31:44.0942730Z ##[endgroup]
2022-11-23T01:31:44.0943126Z FINISHED PRINTING LOG FILE of dynamo/test_unspec (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_unspec_zyq4qdbo)
2022-11-23T01:31:44.0943348Z 
2022-11-23T01:31:49.0612496Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:31:49.2511256Z Ignoring disabled issues:  []
2022-11-23T01:31:49.2724134Z Running dynamo/test_no_fake_tensors ... [2022-11-23 01:31:49.272078]
2022-11-23T01:31:49.2726176Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_no_fake_tensors.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:31:49.272386]
2022-11-23T01:32:16.3989143Z 
2022-11-23T01:32:16.3989704Z Expand the folded group to see the log file of dynamo/test_no_fake_tensors
2022-11-23T01:32:16.3993186Z ##[group]PRINTING LOG FILE of dynamo/test_no_fake_tensors (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_no_fake_tensors_tcqjhop3)
2022-11-23T01:32:16.3994521Z Test results will be stored in test-reports/python-unittest/dynamo.test_no_fake_tensors
2022-11-23T01:32:16.3995010Z 
2022-11-23T01:32:16.3995143Z Running tests...
2022-11-23T01:32:16.3995855Z ----------------------------------------------------------------------
2022-11-23T01:32:16.3996591Z   test_T_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.464s)
2022-11-23T01:32:16.3997738Z   test_add_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.3998455Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.3998786Z ok (0.081s)
2022-11-23T01:32:16.3999294Z   test_build_list_unpack_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4000002Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:32:16.4000384Z ok (0.019s)
2022-11-23T01:32:16.4001149Z   test_chunks1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4001696Z ok (0.012s)
2022-11-23T01:32:16.4002560Z   test_const_tuple_add1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:32:16.4003088Z ok (0.012s)
2022-11-23T01:32:16.4003773Z   test_const_tuple_add2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:32:16.4004247Z ok (0.013s)
2022-11-23T01:32:16.4004919Z   test_constant1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4005412Z ok (0.012s)
2022-11-23T01:32:16.4006188Z   test_constant2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4006989Z ok (0.022s)
2022-11-23T01:32:16.4007797Z   test_constant3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4008299Z ok (0.009s)
2022-11-23T01:32:16.4009150Z   test_constant4_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4009725Z ok (0.009s)
2022-11-23T01:32:16.4010208Z   test_default_dict_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4010523Z ok (0.016s)
2022-11-23T01:32:16.4010984Z   test_del_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4011307Z ok (0.011s)
2022-11-23T01:32:16.4011780Z   test_device_constant_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4012114Z ok (0.010s)
2022-11-23T01:32:16.4012581Z   test_device_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4012906Z ok (0.008s)
2022-11-23T01:32:16.4013362Z   test_dict_copy_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4013692Z ok (0.009s)
2022-11-23T01:32:16.4014159Z   test_dict_ops_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T01:32:16.4014485Z ok (0.019s)
2022-11-23T01:32:16.4014950Z   test_dict_param_keys_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4015282Z ok (0.010s)
2022-11-23T01:32:16.4015762Z   test_dtype_compare_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4016092Z ok (0.012s)
2022-11-23T01:32:16.4016544Z   test_dtype_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4016865Z ok (0.009s)
2022-11-23T01:32:16.4017326Z   test_finfo_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4017634Z ok (0.013s)
2022-11-23T01:32:16.4018093Z   test_float_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4018415Z ok (0.010s)
2022-11-23T01:32:16.4018897Z   test_fn_with_self_set_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:32:16.4019215Z ok (0.015s)
2022-11-23T01:32:16.4019684Z   test_fstrings1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4020010Z ok (0.010s)
2022-11-23T01:32:16.4020474Z   test_fstrings2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4020830Z ok (0.010s)
2022-11-23T01:32:16.4021295Z   test_fstrings3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4021618Z ok (0.009s)
2022-11-23T01:32:16.4021904Z   test_funcdef_closure_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4022361Z stats [('calls_captured', 10), ('fusions_possible', 9), ('unique_graphs', 1)]
2022-11-23T01:32:16.4022590Z ok (0.022s)
2022-11-23T01:32:16.4023056Z   test_globalfn_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4023368Z ok (0.011s)
2022-11-23T01:32:16.4023844Z   test_globalmodule_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4024174Z ok (0.042s)
2022-11-23T01:32:16.4024723Z   test_globalvar_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4025049Z ok (0.011s)
2022-11-23T01:32:16.4025519Z   test_import1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4025852Z ok (0.011s)
2022-11-23T01:32:16.4026304Z   test_indirect1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4026630Z ok (0.009s)
2022-11-23T01:32:16.4027099Z   test_indirect2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4027425Z ok (0.010s)
2022-11-23T01:32:16.4027876Z   test_indirect3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4028197Z ok (0.014s)
2022-11-23T01:32:16.4028500Z   test_inline_jit_annotations_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4028907Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4029132Z ok (0.019s)
2022-11-23T01:32:16.4029618Z   test_inline_softmax_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4029947Z ok (0.020s)
2022-11-23T01:32:16.4030243Z   test_inline_with_default_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4030663Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4030886Z ok (0.020s)
2022-11-23T01:32:16.4031167Z   test_inner_function_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4031583Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4031808Z ok (0.017s)
2022-11-23T01:32:16.4032306Z   test_is_contiguous_memory_format_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4032640Z ok (0.017s)
2022-11-23T01:32:16.4033116Z   test_is_fx_tracing_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4033489Z ok (0.018s)
2022-11-23T01:32:16.4033977Z   test_is_in_onnx_export_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4034299Z ok (0.014s)
2022-11-23T01:32:16.4034800Z   test_is_not_null_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4035127Z ok (0.010s)
2022-11-23T01:32:16.4035588Z   test_is_quantized_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4035915Z ok (0.010s)
2022-11-23T01:32:16.4036391Z   test_is_sparse_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4036714Z ok (0.009s)
2022-11-23T01:32:16.4037338Z   test_islice_chain_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:32:16.4037713Z ok (0.018s)
2022-11-23T01:32:16.4038194Z   test_jit_annotate_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4038516Z ok (0.011s)
2022-11-23T01:32:16.4038988Z   test_len_constant_dict_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4039324Z ok (0.010s)
2022-11-23T01:32:16.4039801Z   test_len_constant_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4040120Z ok (0.035s)
2022-11-23T01:32:16.4040621Z   test_len_constant_misc_iterables_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4040964Z ok (0.010s)
2022-11-23T01:32:16.4041434Z   test_len_tensor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4041746Z ok (0.009s)
2022-11-23T01:32:16.4042215Z   test_list_add_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4042542Z ok (0.009s)
2022-11-23T01:32:16.4043009Z   test_list_clear_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4043332Z ok (0.012s)
2022-11-23T01:32:16.4043801Z   test_list_convert_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:32:16.4044130Z ok (0.013s)
2022-11-23T01:32:16.4044598Z   test_list_reversed_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:32:16.4044930Z ok (0.014s)
2022-11-23T01:32:16.4045416Z   test_list_slice_assignment_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4045748Z ok (0.010s)
2022-11-23T01:32:16.4046280Z   test_list_truth_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4046605Z ok (0.009s)
2022-11-23T01:32:16.4047070Z   test_listarg1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4047397Z ok (0.009s)
2022-11-23T01:32:16.4047902Z   test_listarg2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4048226Z ok (0.010s)
2022-11-23T01:32:16.4048684Z   test_listarg3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4048997Z ok (0.010s)
2022-11-23T01:32:16.4049450Z   test_listarg4_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4049770Z ok (0.010s)
2022-11-23T01:32:16.4050233Z   test_listarg5_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4050537Z ok (0.010s)
2022-11-23T01:32:16.4051012Z   test_load_global_bool_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4051344Z ok (0.009s)
2022-11-23T01:32:16.4051636Z   test_map_sum_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4052037Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T01:32:16.4052265Z ok (0.021s)
2022-11-23T01:32:16.4052561Z   test_methodcall1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4052960Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4053184Z ok (0.012s)
2022-11-23T01:32:16.4053478Z   test_methodcall2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4053894Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4054100Z ok (0.012s)
2022-11-23T01:32:16.4054394Z   test_methodcall3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4054800Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4055006Z ok (0.012s)
2022-11-23T01:32:16.4055474Z   test_min_max_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 11), ('fusions_possible', 10), ('unique_graphs', 1)]
2022-11-23T01:32:16.4055801Z ok (0.020s)
2022-11-23T01:32:16.4056276Z   test_module_constant_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:32:16.4056597Z ok (0.014s)
2022-11-23T01:32:16.4057064Z   test_ndim_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4057383Z ok (0.009s)
2022-11-23T01:32:16.4057833Z   test_pop_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:32:16.4058157Z ok (0.015s)
2022-11-23T01:32:16.4058627Z   test_reduce_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4059000Z ok (0.013s)
2022-11-23T01:32:16.4059464Z   test_return_dict2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4059789Z ok (0.015s)
2022-11-23T01:32:16.4060309Z   test_return_dict_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4060645Z ok (0.019s)
2022-11-23T01:32:16.4061112Z   test_return_tuple1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4061443Z ok (0.015s)
2022-11-23T01:32:16.4061917Z   test_return_tuple2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4062237Z ok (0.010s)
2022-11-23T01:32:16.4062697Z   test_shape1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4063024Z ok (0.010s)
2022-11-23T01:32:16.4063490Z   test_shape2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4063801Z ok (0.009s)
2022-11-23T01:32:16.4064262Z   test_slice1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4064665Z ok (0.008s)
2022-11-23T01:32:16.4065132Z   test_slice2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4065445Z ok (0.008s)
2022-11-23T01:32:16.4065902Z   test_slice3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4066218Z ok (0.008s)
2022-11-23T01:32:16.4066667Z   test_slice4_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4066990Z ok (0.008s)
2022-11-23T01:32:16.4067452Z   test_slice5_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4067765Z ok (0.008s)
2022-11-23T01:32:16.4068209Z   test_slice6_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4068526Z ok (0.010s)
2022-11-23T01:32:16.4068999Z   test_startswith_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4069326Z ok (0.011s)
2022-11-23T01:32:16.4069782Z   test_tensor_len_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4070106Z ok (0.011s)
2022-11-23T01:32:16.4070596Z   test_tensor_new_with_shape_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4070920Z ok (0.010s)
2022-11-23T01:32:16.4071446Z   test_tensor_new_with_size_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4071779Z ok (0.009s)
2022-11-23T01:32:16.4072263Z   test_transpose_for_scores_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4072619Z ok (0.010s)
2022-11-23T01:32:16.4073080Z   test_tuple1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4073401Z ok (0.011s)
2022-11-23T01:32:16.4073862Z   test_tuple2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4074175Z ok (0.009s)
2022-11-23T01:32:16.4074649Z   test_tuple_contains_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4074975Z ok (0.009s)
2022-11-23T01:32:16.4075444Z   test_tuple_iadd_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4075760Z ok (0.014s)
2022-11-23T01:32:16.4076223Z   test_unpack1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4076545Z ok (0.010s)
2022-11-23T01:32:16.4076996Z   test_unpack2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4077510Z ok (0.010s)
2022-11-23T01:32:16.4077975Z   test_unpack3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4078301Z ok (0.010s)
2022-11-23T01:32:16.4078758Z   test_unpack_ex1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:32:16.4079083Z ok (0.012s)
2022-11-23T01:32:16.4079551Z   test_unpack_ex2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:32:16.4079873Z ok (0.013s)
2022-11-23T01:32:16.4080327Z   test_unpack_ex3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:32:16.4080663Z ok (0.013s)
2022-11-23T01:32:16.4081135Z   test_viamethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4081454Z ok (0.009s)
2022-11-23T01:32:16.4081931Z   test_viatorch_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4082257Z ok (0.009s)
2022-11-23T01:32:16.4082669Z   test_allow_in_graph_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4083082Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:32:16.4083308Z ok (0.011s)
2022-11-23T01:32:16.4083783Z   test_autocast_cpu_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:32:16.4084188Z ok (0.016s)
2022-11-23T01:32:16.4084507Z   test_autocast_device_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires cuda (0.002s)
2022-11-23T01:32:16.4084959Z   test_autocast_float64_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires cuda (0.002s)
2022-11-23T01:32:16.4085448Z   test_autocast_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires cuda (0.002s)
2022-11-23T01:32:16.4085879Z   test_autograd_function_equivalence_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4086313Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:32:16.4086538Z ok (0.015s)
2022-11-23T01:32:16.4087096Z   test_autograd_profiler_enabled_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... STAGE:2022-11-23 01:31:55 4286:4286 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:16.4087646Z STAGE:2022-11-23 01:31:55 4286:4286 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:16.4088096Z STAGE:2022-11-23 01:31:55 4286:4286 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:16.4088414Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:32:16.4088603Z unimplemented []
2022-11-23T01:32:16.4088897Z graph_break [('torch.autograd._profiler_enabled not supported yet', 1)]
2022-11-23T01:32:16.4089261Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:32:16.4089485Z ok (0.044s)
2022-11-23T01:32:16.4090007Z   test_autograd_profiler_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... STAGE:2022-11-23 01:31:55 4286:4286 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:16.4090552Z STAGE:2022-11-23 01:31:55 4286:4286 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:16.4091001Z STAGE:2022-11-23 01:31:55 4286:4286 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:16.4091418Z [2022-11-23 01:31:55,379] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored
2022-11-23T01:32:16.4091699Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:32:16.4091890Z unimplemented []
2022-11-23T01:32:16.4092118Z graph_break [('Tensor.tolist', 1)]
2022-11-23T01:32:16.4106219Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:32:16.4106455Z ok (0.024s)
2022-11-23T01:32:16.4106949Z   test_boolarg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T01:32:16.4107290Z ok (0.017s)
2022-11-23T01:32:16.4107592Z   test_build_tuple_unpack_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4108019Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:32:16.4108250Z ok (0.020s)
2022-11-23T01:32:16.4108753Z   test_builtin_isinstance_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4109079Z ok (0.009s)
2022-11-23T01:32:16.4109400Z   test_builtin_subclasses_as_method_on_class_type_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.004s)
2022-11-23T01:32:16.4109861Z   test_builtin_subclasses_as_method_on_var_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.005s)
2022-11-23T01:32:16.4110486Z   test_callpacked_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:32:16.4110927Z ok (0.017s)
2022-11-23T01:32:16.4111341Z   test_cell_output1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4111770Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4111983Z ok (0.007s)
2022-11-23T01:32:16.4112441Z   test_cell_output2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4112744Z unimplemented []
2022-11-23T01:32:16.4113132Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:32:16.4113531Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4113754Z ok (0.012s)
2022-11-23T01:32:16.4114587Z   test_change_backends_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T01:32:16.4114976Z frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4115142Z ok (0.123s)
2022-11-23T01:32:16.4115623Z   test_cond_export_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)]
2022-11-23T01:32:16.4115954Z ok (0.044s)
2022-11-23T01:32:16.4116441Z   test_cond_export_single_arg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('unique_graphs', 3), ('calls_captured', 2), ('fusions_possible', -1)]
2022-11-23T01:32:16.4116790Z ok (0.022s)
2022-11-23T01:32:16.4117406Z   test_cond_nested_fake_tensor_off_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4117872Z stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)]
2022-11-23T01:32:16.4118088Z ok (0.039s)
2022-11-23T01:32:16.4118500Z   test_cond_nested_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4118923Z stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)]
2022-11-23T01:32:16.4119137Z ok (0.042s)
2022-11-23T01:32:16.4119541Z   test_cond_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4119959Z stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T01:32:16.4120185Z ok (0.022s)
2022-11-23T01:32:16.4120603Z   test_config_getattr_default_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:32:16.4121040Z stats [('calls_captured', 21), ('fusions_possible', 18), ('unique_graphs', 3)]
2022-11-23T01:32:16.4121271Z ok (0.044s)
2022-11-23T01:32:16.4121674Z   test_config_log_level_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4122105Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4122331Z ok (0.008s)
2022-11-23T01:32:16.4122739Z   test_config_obj_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:32:16.4123147Z stats [('calls_captured', 8), ('fusions_possible', 4), ('unique_graphs', 4)]
2022-11-23T01:32:16.4123371Z ok (0.046s)
2022-11-23T01:32:16.4123684Z   test_const_dict_variable_python_type_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.002s)
2022-11-23T01:32:16.4124464Z   test_cross_entropy_loss_fancy_ctor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead.
2022-11-23T01:32:16.4125041Z   warnings.warn(warning.format(ret))
2022-11-23T01:32:16.4125240Z ok (0.005s)
2022-11-23T01:32:16.4125551Z   test_cross_entropy_loss_simple_ctor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.003s)
2022-11-23T01:32:16.4126165Z   test_dataclass_fields_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4126544Z inline_call []
2022-11-23T01:32:16.4126850Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:32:16.4127123Z ok (0.055s)
2022-11-23T01:32:16.4127568Z   test_dict_mutation_side_effect_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4128075Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4128300Z ok (0.009s)
2022-11-23T01:32:16.4128807Z   test_dict_reconstruct_keeps_original_order_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 14), ('ok', 13)]
2022-11-23T01:32:16.4129352Z unimplemented [("Guard setup for uninitialized class <class 'torch.nn.modules.container.ModuleDict'>", 1)]
2022-11-23T01:32:16.4130358Z graph_break [('UnspecializedNNModuleVariable missing add_module', 3), ('construct nn.Module: ReLU', 1), ('call_function in skip_files /opt/conda/lib/python3.7/collections/__init__.py', 1), ('construct nn.Module: ModuleDict', 1), ('Patched init cannot be inlined.', 1), ('construct nn.Module: Linear', 1), ('construct nn.Module: Sigmoid', 1), ('call_method ConstDictVariable() update [TupleVariable()] {}', 1)]
2022-11-23T01:32:16.4131026Z inline_call [('inline __setitem__', 2), ('Patched init cannot be inlined.', 1)]
2022-11-23T01:32:16.4131261Z ok (0.051s)
2022-11-23T01:32:16.4131657Z   test_dictcomp_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4131954Z inline_call []
2022-11-23T01:32:16.4132254Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4132469Z ok (0.010s)
2022-11-23T01:32:16.4132769Z   test_disable_optimize_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.003s)
2022-11-23T01:32:16.4133317Z   test_disallow_in_graph_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4133625Z unimplemented []
2022-11-23T01:32:16.4133994Z graph_break [('call_function UserDefinedObjectVariable(sub) [TensorVariable(), ConstantVariable(int)] {}', 1)]
2022-11-23T01:32:16.4134403Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:32:16.4134631Z ok (0.014s)
2022-11-23T01:32:16.4134918Z   test_dunder_methods_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4135333Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:32:16.4135556Z ok (0.029s)
2022-11-23T01:32:16.4135867Z   test_duplicate_graph_break_warning_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... break
2022-11-23T01:32:16.4136141Z break
2022-11-23T01:32:16.4136348Z frames [('total', 9), ('ok', 9)]
2022-11-23T01:32:16.4136682Z inline_call [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 2)]
2022-11-23T01:32:16.4136925Z unimplemented []
2022-11-23T01:32:16.4137248Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 4)]
2022-11-23T01:32:16.4137622Z stats [('calls_captured', 6), ('unique_graphs', 4), ('fusions_possible', 2)]
2022-11-23T01:32:16.4137887Z ok (0.037s)
2022-11-23T01:32:16.4138197Z   test_dynamo_min_operator_with_shape_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.003s)
2022-11-23T01:32:16.4138739Z   test_empty_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4139197Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:32:16.4139413Z ok (0.012s)
2022-11-23T01:32:16.4139905Z   test_enum_no_graphbreaks_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:32:16.4140243Z ok (0.014s)
2022-11-23T01:32:16.4140659Z   test_error_on_nested_fx_trace_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4141094Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4141320Z ok (0.006s)
2022-11-23T01:32:16.4141784Z   test_fold_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4142094Z ok (0.007s)
2022-11-23T01:32:16.4142601Z   test_frozenset_torch_func_contains_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:32:16.4142950Z ok (0.012s)
2022-11-23T01:32:16.4143438Z   test_function_annotation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:32:16.4143765Z ok (0.012s)
2022-11-23T01:32:16.4144231Z   test_generate_tensor_from_list_of_numpy_primitive_type_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4144649Z unimplemented []
2022-11-23T01:32:16.4144860Z graph_break [('numpy', 1)]
2022-11-23T01:32:16.4145174Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4145400Z ok (0.010s)
2022-11-23T01:32:16.4145806Z   test_grad_mode_guard_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4146113Z unimplemented []
2022-11-23T01:32:16.4146349Z graph_break [('Tensor.tolist', 1)]
2022-11-23T01:32:16.4146673Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:32:16.4146885Z ok (0.017s)
2022-11-23T01:32:16.4147286Z   test_grad_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4147581Z unimplemented []
2022-11-23T01:32:16.4147807Z graph_break [('Tensor.backward', 1)]
2022-11-23T01:32:16.4148130Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:32:16.4148355Z ok (0.017s)
2022-11-23T01:32:16.4148752Z   test_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:32:16.4149055Z unimplemented []
2022-11-23T01:32:16.4149433Z graph_break [('call_function in skip_files /opt/conda/lib/python3.7/site-packages/torch/_dynamo/__init__.py', 2)]
2022-11-23T01:32:16.4149830Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)]
2022-11-23T01:32:16.4150043Z ok (0.035s)
2022-11-23T01:32:16.4150523Z   test_id_of_nn_module_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:32:16.4150857Z ok (0.013s)
2022-11-23T01:32:16.4151372Z   test_if_cond_nn_mod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:32:16.4151705Z ok (0.014s)
2022-11-23T01:32:16.4152123Z   test_inference_mode_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4152609Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4152822Z ok (0.008s)
2022-11-23T01:32:16.4153247Z   test_inline_dict_mutation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4153553Z inline_call []
2022-11-23T01:32:16.4153836Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4154058Z ok (0.009s)
2022-11-23T01:32:16.4154509Z   test_inline_func_jump_on_tensor_condition_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:32:16.4154919Z inline_call [('generic_jump TensorVariable()', 1)]
2022-11-23T01:32:16.4155126Z unimplemented []
2022-11-23T01:32:16.4155392Z graph_break [('generic_jump TensorVariable()', 1)]
2022-11-23T01:32:16.4155732Z stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T01:32:16.4155948Z ok (0.017s)
2022-11-23T01:32:16.4156371Z   test_inline_list_mutation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4156680Z inline_call []
2022-11-23T01:32:16.4156962Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4157338Z ok (0.008s)
2022-11-23T01:32:16.4157848Z   test_inplace_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4158182Z ok (0.010s)
2022-11-23T01:32:16.4158663Z   test_inplace_param_update_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:32:16.4159003Z ok (0.009s)
2022-11-23T01:32:16.4159491Z   test_is_floating_point2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4159830Z ok (0.010s)
2022-11-23T01:32:16.4160299Z   test_is_floating_point_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4160629Z ok (0.010s)
2022-11-23T01:32:16.4161034Z   test_is_tensor2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4161448Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:32:16.4161674Z ok (0.012s)
2022-11-23T01:32:16.4162089Z   test_is_tensor_like2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:32:16.4162392Z unimplemented []
2022-11-23T01:32:16.4162709Z graph_break [('call_function args: UserDefinedObjectVariable(MyTensor) ', 1)]
2022-11-23T01:32:16.4163085Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:32:16.4163308Z ok (0.015s)
2022-11-23T01:32:16.4163773Z   test_is_tensor_like_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:32:16.4164105Z ok (0.012s)
2022-11-23T01:32:16.4164572Z   test_is_tensor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4164972Z ok (0.010s)
2022-11-23T01:32:16.4165452Z   test_item_changes_new_shape_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:32:16.4165791Z ok (0.015s)
2022-11-23T01:32:16.4166312Z   test_item_changes_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:32:16.4166647Z ok (0.014s)
2022-11-23T01:32:16.4167094Z   test_item_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4167414Z ok (0.008s)
2022-11-23T01:32:16.4167718Z   test_large_reduction_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.022s)
2022-11-23T01:32:16.4168166Z   test_linetable_writer_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: use linetable when python >= 3.10 (0.001s)
2022-11-23T01:32:16.4168749Z   test_list_append_return_none_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4169187Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4169503Z ok (0.008s)
2022-11-23T01:32:16.4169901Z   test_list_mul_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4170249Z ok (0.003s)
2022-11-23T01:32:16.4170664Z   test_listcomp_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4171001Z inline_call []
2022-11-23T01:32:16.4171309Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:32:16.4171536Z ok (0.012s)
2022-11-23T01:32:16.4171903Z   test_lnotab_writer_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.001s)
2022-11-23T01:32:16.4172491Z   test_manual_seed_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4172817Z ok (0.014s)
2022-11-23T01:32:16.4173284Z   test_matmul1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4173608Z ok (0.008s)
2022-11-23T01:32:16.4173893Z   test_module_complex_iter_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.024s)
2022-11-23T01:32:16.4174432Z   test_module_deepcopy_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 6), ('ok', 6)]
2022-11-23T01:32:16.4174737Z unimplemented []
2022-11-23T01:32:16.4175046Z graph_break [('call_function in skip_files /opt/conda/lib/python3.7/copy.py', 2)]
2022-11-23T01:32:16.4175294Z inline_call []
2022-11-23T01:32:16.4175593Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:32:16.4175807Z ok (0.073s)
2022-11-23T01:32:16.4176107Z   test_named_parameters_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.135s)
2022-11-23T01:32:16.4176644Z   test_namedtuple1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4177069Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4177281Z ok (0.009s)
2022-11-23T01:32:16.4177735Z   test_namedtuple2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4178160Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4178370Z ok (0.010s)
2022-11-23T01:32:16.4178782Z   test_namedtuple3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4179238Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4179465Z ok (0.007s)
2022-11-23T01:32:16.4179850Z   test_nan_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4180265Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4180487Z ok (0.006s)
2022-11-23T01:32:16.4180784Z   test_nested_closure_mutation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4181220Z stats [('calls_captured', 11), ('fusions_possible', 9), ('unique_graphs', 2)]
2022-11-23T01:32:16.4181446Z ok (0.024s)
2022-11-23T01:32:16.4181746Z   test_nested_closure_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4182152Z stats [('calls_captured', 9), ('fusions_possible', 7), ('unique_graphs', 2)]
2022-11-23T01:32:16.4182378Z ok (0.026s)
2022-11-23T01:32:16.4182980Z   test_nested_disable_decorator_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... [2022-11-23 01:31:56,837] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT fn3 /var/lib/jenkins/workspace/test/dynamo/test_misc.py line 1195 
2022-11-23T01:32:16.4183389Z due to: 
2022-11-23T01:32:16.4183562Z Traceback (most recent call last):
2022-11-23T01:32:16.4183926Z   File "/opt/conda/lib/python3.7/site-packages/torch/_dynamo/exc.py", line 67, in unimplemented
2022-11-23T01:32:16.4184204Z     raise Unsupported(msg)
2022-11-23T01:32:16.4184615Z torch._dynamo.exc.Unsupported: call torch._dynamo.disable() wrapped function <function MiscTests.test_nested_disable_decorator.<locals>.fn1 at 0x7fd960076320>
2022-11-23T01:32:16.4184877Z 
2022-11-23T01:32:16.4184949Z from user code:
2022-11-23T01:32:16.4185195Z    File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1197, in fn3
2022-11-23T01:32:16.4185423Z     return fn2(x)
2022-11-23T01:32:16.4185665Z   File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1190, in fn2
2022-11-23T01:32:16.4185912Z     x = fn1(x)  # graph break
2022-11-23T01:32:16.4186032Z 
2022-11-23T01:32:16.4186164Z Set torch._dynamo.config.verbose=True for more information
2022-11-23T01:32:16.4186311Z 
2022-11-23T01:32:16.4186316Z 
2022-11-23T01:32:16.4186444Z frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4186632Z unimplemented []
2022-11-23T01:32:16.4187062Z graph_break [('call torch._dynamo.disable() wrapped function <function MiscTests.test_nested_disable_decorator.<locals>.fn1 at 0x7fd960076320>', 1)]
2022-11-23T01:32:16.4187481Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:32:16.4187968Z inline_call [('call torch._dynamo.disable() wrapped function <function MiscTests.test_nested_disable_decorator.<locals>.fn1 at 0x7fd960076320>', 1)]
2022-11-23T01:32:16.4188264Z ok (0.017s)
2022-11-23T01:32:16.4188579Z   test_nested_optimize_decorator_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4188993Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:32:16.4189220Z ok (0.011s)
2022-11-23T01:32:16.4189703Z   test_nested_optimize_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:32:16.4190086Z ok (0.017s)
2022-11-23T01:32:16.4190564Z   test_nested_optimize_run_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:32:16.4190903Z ok (0.016s)
2022-11-23T01:32:16.4191215Z   test_nn_sequential_invocation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4191659Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4191886Z ok (0.017s)
2022-11-23T01:32:16.4192217Z   test_nn_sequential_invocation_reposition_indices_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4192666Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4192878Z ok (0.015s)
2022-11-23T01:32:16.4193308Z   test_no_error_on_nested_fx_trace_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4193744Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4193958Z ok (0.008s)
2022-11-23T01:32:16.4194434Z   test_no_grad_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 40), ('fusions_possible', 32), ('unique_graphs', 8)]
2022-11-23T01:32:16.4194761Z ok (0.103s)
2022-11-23T01:32:16.4195225Z   test_numel_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4195534Z ok (0.037s)
2022-11-23T01:32:16.4195958Z   test_numpy_int_constant_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4196389Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4196602Z ok (0.013s)
2022-11-23T01:32:16.4197035Z   test_numpy_variable_isinstance_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4197675Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4197903Z ok (0.010s)
2022-11-23T01:32:16.4198200Z   test_object_classmethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4198619Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4198848Z ok (0.010s)
2022-11-23T01:32:16.4199145Z   test_object_staticmethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4199571Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4199797Z ok (0.010s)
2022-11-23T01:32:16.4200292Z   test_onnx_shape_as_tensor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 15), ('fusions_possible', 10), ('unique_graphs', 5)]
2022-11-23T01:32:16.4200620Z ok (0.037s)
2022-11-23T01:32:16.4201110Z   test_optimize_on_module_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4201454Z ok (0.009s)
2022-11-23T01:32:16.4201902Z   test_pair_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:32:16.4202223Z ok (0.016s)
2022-11-23T01:32:16.4202634Z   test_python_slice_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4202997Z ok (0.009s)
2022-11-23T01:32:16.4203400Z   test_raise_on_backend_error_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1)]
2022-11-23T01:32:16.4203798Z stats [('calls_captured', 3), ('fusions_possible', 2)]
2022-11-23T01:32:16.4204008Z ok (0.006s)
2022-11-23T01:32:16.4204395Z   test_raises_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4204747Z unimplemented []
2022-11-23T01:32:16.4205070Z graph_break [('call_function BuiltinVariable(str) [TensorVariable()] {}', 1)]
2022-11-23T01:32:16.4205438Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4205654Z ok (0.014s)
2022-11-23T01:32:16.4205957Z   test_rand_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires cuda (0.001s)
2022-11-23T01:32:16.4206383Z   test_range_input_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4206784Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4207009Z ok (0.012s)
2022-11-23T01:32:16.4207448Z   test_recursive_inline_list_mutation_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4207763Z inline_call []
2022-11-23T01:32:16.4208051Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:32:16.4208278Z ok (0.023s)
2022-11-23T01:32:16.4208702Z   test_release_input_memory_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4209123Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4209347Z ok (0.006s)
2022-11-23T01:32:16.4209772Z   test_release_module_memory_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4210205Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4210417Z ok (0.007s)
2022-11-23T01:32:16.4210928Z   test_repro_graph_breaks_in__get_item_by_idx_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4211284Z ok (0.009s)
2022-11-23T01:32:16.4211696Z   test_return_nested_function_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4212128Z stats [('calls_captured', 7), ('fusions_possible', 5), ('unique_graphs', 2)]
2022-11-23T01:32:16.4212351Z ok (0.020s)
2022-11-23T01:32:16.4212646Z   test_sample_input_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (1.118s)
2022-11-23T01:32:16.4213173Z   test_setattr_mutation1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4213689Z unimplemented [('call_method UserDefinedObjectVariable(member_descriptor) __mul__ [ConstantVariable(int)] {}', 1)]
2022-11-23T01:32:16.4214214Z graph_break [("isinstance called on UserDefinedClass UserDefinedObjectVariable(member_descriptor) <class 'torch.Tensor'>", 1)]
2022-11-23T01:32:16.4214566Z frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4214868Z stats [('calls_captured', 12), ('fusions_possible', 11), ('unique_graphs', 1)]
2022-11-23T01:32:16.4215097Z ok (0.022s)
2022-11-23T01:32:16.4215516Z   test_setattr_mutation2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4215803Z inline_call []
2022-11-23T01:32:16.4216104Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:32:16.4216366Z ok (0.017s)
2022-11-23T01:32:16.4216778Z   test_setattr_mutation3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4217084Z inline_call []
2022-11-23T01:32:16.4217382Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:32:16.4217608Z ok (0.018s)
2022-11-23T01:32:16.4218044Z   test_shape_unpack_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4218474Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4218702Z ok (0.006s)
2022-11-23T01:32:16.4219140Z   test_side_effects_codegen_update_mutated_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 6), ('ok', 6)]
2022-11-23T01:32:16.4219469Z unimplemented []
2022-11-23T01:32:16.4219705Z graph_break [('Tensor.item', 4)]
2022-11-23T01:32:16.4220008Z stats [('calls_captured', 8), ('fusions_possible', 4), ('unique_graphs', 4)]
2022-11-23T01:32:16.4220233Z ok (0.038s)
2022-11-23T01:32:16.4220639Z   test_size_input_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4221060Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:32:16.4221271Z ok (0.011s)
2022-11-23T01:32:16.4221746Z   test_slice_input_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)]
2022-11-23T01:32:16.4222074Z ok (0.029s)
2022-11-23T01:32:16.4222494Z   test_tensor_build_list_unpack_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4222926Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4223153Z ok (0.089s)
2022-11-23T01:32:16.4223623Z   test_tensor_data_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4223939Z ok (0.009s)
2022-11-23T01:32:16.4224351Z   test_tensor_dict1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4224867Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4225093Z ok (0.008s)
2022-11-23T01:32:16.4225486Z   test_tensor_dict2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:32:16.4225909Z stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2022-11-23T01:32:16.4226138Z ok (0.025s)
2022-11-23T01:32:16.4226564Z   test_tensor_dot_grad_no_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4226890Z unimplemented []
2022-11-23T01:32:16.4227132Z graph_break [('Tensor.backward', 1)]
2022-11-23T01:32:16.4227445Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:32:16.4227676Z ok (0.020s)
2022-11-23T01:32:16.4228101Z   test_tensor_is_contiguous_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4228531Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:32:16.4228743Z ok (0.019s)
2022-11-23T01:32:16.4229163Z   test_tensor_item_capture_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4229594Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4229859Z ok (0.008s)
2022-11-23T01:32:16.4230290Z   test_tensor_item_no_capture_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4230603Z unimplemented []
2022-11-23T01:32:16.4230837Z graph_break [('Tensor.item', 1)]
2022-11-23T01:32:16.4231145Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4231372Z ok (0.008s)
2022-11-23T01:32:16.4231886Z   test_tensor_layout_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4232212Z ok (0.008s)
2022-11-23T01:32:16.4232628Z   test_tensor_types_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 10), ('ok', 10)]
2022-11-23T01:32:16.4233059Z stats [('calls_captured', 10), ('unique_graphs', 10), ('fusions_possible', 0)]
2022-11-23T01:32:16.4233288Z ok (0.038s)
2022-11-23T01:32:16.4233759Z   test_top_package_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4234096Z ok (0.007s)
2022-11-23T01:32:16.4234595Z   test_torch_cuda_is_available_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4234927Z ok (0.006s)
2022-11-23T01:32:16.4235370Z   test_torch_nn_parameter_isinstance_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4235810Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4236040Z ok (0.010s)
2022-11-23T01:32:16.4236558Z   test_torch_profiler_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... STAGE:2022-11-23 01:31:58 4286:4286 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:16.4237106Z STAGE:2022-11-23 01:31:58 4286:4286 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:16.4237732Z STAGE:2022-11-23 01:31:58 4286:4286 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:16.4238156Z [2022-11-23 01:31:58,798] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored
2022-11-23T01:32:16.4238542Z [2022-11-23 01:31:58,800] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored
2022-11-23T01:32:16.4238839Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:32:16.4239035Z unimplemented []
2022-11-23T01:32:16.4239260Z graph_break [('Tensor.tolist', 1)]
2022-11-23T01:32:16.4239582Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:32:16.4239813Z ok (0.022s)
2022-11-23T01:32:16.4240282Z   test_torch_seed_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4240613Z ok (0.008s)
2022-11-23T01:32:16.4241087Z   test_torch_size_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4241418Z ok (0.007s)
2022-11-23T01:32:16.4241814Z   test_type_copy_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4242237Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:32:16.4242464Z ok (0.020s)
2022-11-23T01:32:16.4242888Z   test_typing_variable_isinstance_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4243393Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4243622Z ok (0.007s)
2022-11-23T01:32:16.4244091Z   test_unpack4_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:32:16.4244407Z ok (0.012s)
2022-11-23T01:32:16.4244926Z   test_unpack5_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:32:16.4245258Z ok (0.012s)
2022-11-23T01:32:16.4245855Z   test_unsupported_fake_tensor_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... [2022-11-23 01:31:58,893] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT f /var/lib/jenkins/workspace/test/dynamo/test_misc.py line 1705 
2022-11-23T01:32:16.4246253Z due to: 
2022-11-23T01:32:16.4246439Z Traceback (most recent call last):
2022-11-23T01:32:16.4246789Z   File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 107, in resolve_key
2022-11-23T01:32:16.4247116Z     raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}")
2022-11-23T01:32:16.4247493Z NotImplementedError: could not find kernel for aten.quantize_per_tensor.default at dispatch key DispatchKey.Meta
2022-11-23T01:32:16.4247718Z 
2022-11-23T01:32:16.4247861Z During handling of the above exception, another exception occurred:
2022-11-23T01:32:16.4248033Z 
2022-11-23T01:32:16.4248127Z Traceback (most recent call last):
2022-11-23T01:32:16.4248505Z   File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 213, in from_real_tensor
2022-11-23T01:32:16.4248865Z     raise UnsupportedFakeTensorException("quantized nyi in meta tensors")
2022-11-23T01:32:16.4249234Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: quantized nyi in meta tensors
2022-11-23T01:32:16.4249446Z 
2022-11-23T01:32:16.4249585Z The above exception was the direct cause of the following exception:
2022-11-23T01:32:16.4249739Z 
2022-11-23T01:32:16.4249831Z Traceback (most recent call last):
2022-11-23T01:32:16.4250185Z   File "/opt/conda/lib/python3.7/site-packages/torch/_dynamo/utils.py", line 1114, in run_node
2022-11-23T01:32:16.4250440Z     ) from e
2022-11-23T01:32:16.4250928Z RuntimeError: Failed running call_function <built-in method quantize_per_tensor of type object at 0x7fda13197bc0>(*(FakeTensor(FakeTensor(..., device='meta', size=(2, 2)), cpu), 0.1, 10, torch.quint8), **{}):
2022-11-23T01:32:16.4251286Z quantized nyi in meta tensors
2022-11-23T01:32:16.4251486Z (scroll up for backtrace)
2022-11-23T01:32:16.4251606Z 
2022-11-23T01:32:16.4251742Z The above exception was the direct cause of the following exception:
2022-11-23T01:32:16.4251895Z 
2022-11-23T01:32:16.4251991Z Traceback (most recent call last):
2022-11-23T01:32:16.4252352Z   File "/opt/conda/lib/python3.7/site-packages/torch/_dynamo/utils.py", line 1082, in get_fake_value
2022-11-23T01:32:16.4252640Z     raise TorchRuntimeError() from e
2022-11-23T01:32:16.4252864Z torch._dynamo.exc.TorchRuntimeError: 
2022-11-23T01:32:16.4253008Z 
2022-11-23T01:32:16.4253079Z from user code:
2022-11-23T01:32:16.4253318Z    File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1706, in f
2022-11-23T01:32:16.4253591Z     return torch.quantize_per_tensor(x, 0.1, 10, torch.quint8)
2022-11-23T01:32:16.4253745Z 
2022-11-23T01:32:16.4253877Z Set torch._dynamo.config.verbose=True for more information
2022-11-23T01:32:16.4254035Z 
2022-11-23T01:32:16.4254039Z 
2022-11-23T01:32:16.4254144Z frames [('total', 1)]
2022-11-23T01:32:16.4254450Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4254669Z ok (0.020s)
2022-11-23T01:32:16.4255128Z   test_update_locals_and_stack_uses_shared_cache_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4255496Z inline_call []
2022-11-23T01:32:16.4255658Z unimplemented []
2022-11-23T01:32:16.4255985Z graph_break [('call_method ListVariable() extend [ListIteratorVariable()] {}', 1)]
2022-11-23T01:32:16.4256230Z ok (0.011s)
2022-11-23T01:32:16.4256723Z   test_user_defined_class_name_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4257052Z ok (0.012s)
2022-11-23T01:32:16.4257417Z   test_user_function_variable_supports_enum_argument_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4257732Z ok (0.007s)
2022-11-23T01:32:16.4258054Z   test_user_function_variable_supports_function_argument_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4258497Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4258727Z ok (0.008s)
2022-11-23T01:32:16.4259066Z   test_user_function_variable_supports_type_abcmeta_argument_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4259504Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4259733Z ok (0.008s)
2022-11-23T01:32:16.4260150Z   test_user_getattr1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4260450Z inline_call []
2022-11-23T01:32:16.4260733Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4260957Z ok (0.009s)
2022-11-23T01:32:16.4261370Z   test_user_getattr2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4261652Z inline_call []
2022-11-23T01:32:16.4261949Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4262175Z ok (0.010s)
2022-11-23T01:32:16.4262576Z   test_user_property_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4262880Z inline_call []
2022-11-23T01:32:16.4263178Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4263388Z ok (0.009s)
2022-11-23T01:32:16.4263693Z   test_usr_cls_classmethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4264113Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4264335Z ok (0.012s)
2022-11-23T01:32:16.4264702Z   test_usr_cls_staticmethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4265129Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4265358Z ok (0.011s)
2022-11-23T01:32:16.4265636Z   test_version_ci_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.001s)
2022-11-23T01:32:16.4266066Z   test_write_to_closures_in_inlining_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4266496Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4266722Z ok (0.011s)
2022-11-23T01:32:16.4267190Z   test_basicmodule1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4267523Z ok (0.014s)
2022-11-23T01:32:16.4268003Z   test_basicmodule2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4268383Z ok (0.014s)
2022-11-23T01:32:16.4268684Z   test_call_fn_with_non_const_inputs_safe_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4269116Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4269342Z ok (0.014s)
2022-11-23T01:32:16.4269829Z   test_cfgmod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:32:16.4270154Z ok (0.022s)
2022-11-23T01:32:16.4270624Z   test_children_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:32:16.4270958Z ok (0.016s)
2022-11-23T01:32:16.4271415Z   test_constloop_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:32:16.4271749Z ok (0.020s)
2022-11-23T01:32:16.4272041Z   test_densenet_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4272442Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:32:16.4272667Z ok (0.024s)
2022-11-23T01:32:16.4272964Z   test_enumvalues_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4273379Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:32:16.4273591Z ok (0.022s)
2022-11-23T01:32:16.4274062Z   test_fnmember_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4274502Z ok (0.012s)
2022-11-23T01:32:16.4274969Z   test_fnmembercmp1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4275296Z ok (0.013s)
2022-11-23T01:32:16.4275763Z   test_fnmembercmp2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4276086Z ok (0.013s)
2022-11-23T01:32:16.4276380Z   test_forward_directly_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4276798Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:32:16.4277026Z ok (0.018s)
2022-11-23T01:32:16.4277466Z   test_generation_tag_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.004s)
2022-11-23T01:32:16.4278068Z   test_hasattr_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4278472Z ok (0.012s)
2022-11-23T01:32:16.4278944Z   test_intarg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4279254Z ok (0.016s)
2022-11-23T01:32:16.4279726Z   test_iseval1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4280048Z ok (0.013s)
2022-11-23T01:32:16.4280506Z   test_iseval2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4280812Z ok (0.012s)
2022-11-23T01:32:16.4281287Z   test_isnonelayer_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4281702Z ok (0.011s)
2022-11-23T01:32:16.4282177Z   test_istraining1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4282490Z ok (0.012s)
2022-11-23T01:32:16.4283004Z   test_istraining2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4283330Z ok (0.012s)
2022-11-23T01:32:16.4283791Z   test_layerlist_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4284124Z ok (0.014s)
2022-11-23T01:32:16.4284807Z   test_lazy_module_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:32:16.4285565Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:32:16.4286251Z [2022-11-23 01:31:59,340] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.7/site-packages/torch/nn/parameter.py <function UninitializedTensorMixin.materialize at 0x7fd9618fd8c0> [ShapeVariable()] {} missing a required argument: 'shape'
2022-11-23T01:32:16.4286991Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:32:16.4287479Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:32:16.4288053Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:32:16.4288539Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:32:16.4289193Z [2022-11-23 01:31:59,374] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.7/site-packages/torch/nn/parameter.py <function UninitializedTensorMixin.materialize at 0x7fd9618fd8c0> [ShapeVariable()] {} missing a required argument: 'shape'
2022-11-23T01:32:16.4289940Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:32:16.4290423Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:32:16.4290710Z frames [('total', 16), ('ok', 14)]
2022-11-23T01:32:16.4291441Z inline_call [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2), ('call_function UserDefinedObjectVariable(_infer_parameters) [NNModuleVariable(), TupleVariable()] {}', 1), ('call_function UserDefinedObjectVariable(_infer_parameters) [UnspecializedNNModuleVariable(LazyModule), TupleVariable()] {}', 1)]
2022-11-23T01:32:16.4292112Z unimplemented [("Guard setup for uninitialized class <class 'test_modules.LazyModule'>", 2)]
2022-11-23T01:32:16.4292514Z graph_break [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2)]
2022-11-23T01:32:16.4292880Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4293098Z ok (0.070s)
2022-11-23T01:32:16.4293416Z   test_module_attribute_precedence_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4293849Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:32:16.4294125Z ok (0.016s)
2022-11-23T01:32:16.4294419Z   test_module_class_method_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4294838Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:32:16.4295065Z ok (0.028s)
2022-11-23T01:32:16.4295571Z   test_module_name_string_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4295913Z ok (0.015s)
2022-11-23T01:32:16.4296214Z   test_module_property_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4296631Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4296843Z ok (0.010s)
2022-11-23T01:32:16.4297148Z   test_module_static_method_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4297572Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:32:16.4297782Z ok (0.028s)
2022-11-23T01:32:16.4298259Z   test_moduledict_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4298589Z ok (0.011s)
2022-11-23T01:32:16.4299070Z   test_modulelist_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 40), ('fusions_possible', 39), ('unique_graphs', 1)]
2022-11-23T01:32:16.4299389Z ok (0.081s)
2022-11-23T01:32:16.4299690Z   test_modulemethod1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4300108Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:32:16.4300324Z ok (0.029s)
2022-11-23T01:32:16.4300627Z   test_modulemethod2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4301043Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)]
2022-11-23T01:32:16.4301270Z ok (0.029s)
2022-11-23T01:32:16.4301751Z   test_nn_moduledict_contains_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)]
2022-11-23T01:32:16.4302144Z frames [('total', 2), ('ok', 1)]
2022-11-23T01:32:16.4302418Z inline_call [('Patched init cannot be inlined.', 1)]
2022-11-23T01:32:16.4302869Z unimplemented [("Guard setup for uninitialized class <class 'test_modules.NNModuleTests.test_nn_moduledict_contains.<locals>.M'>", 1)]
2022-11-23T01:32:16.4303268Z graph_break [('Patched init cannot be inlined.', 1)]
2022-11-23T01:32:16.4303476Z ok (0.039s)
2022-11-23T01:32:16.4303775Z   test_parameters1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4304179Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4304406Z ok (0.017s)
2022-11-23T01:32:16.4304802Z   test_parameters2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4305203Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4305425Z ok (0.017s)
2022-11-23T01:32:16.4305900Z   test_parameters3_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:32:16.4306233Z ok (0.023s)
2022-11-23T01:32:16.4306701Z   test_self_mutating1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2022-11-23T01:32:16.4307080Z ok (0.047s)
2022-11-23T01:32:16.4307543Z   test_seq_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:32:16.4307850Z ok (0.021s)
2022-11-23T01:32:16.4308501Z   test_simple_torch_function_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:32:16.4309023Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:32:16.4309280Z inline_call []
2022-11-23T01:32:16.4309565Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:32:16.4310051Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:32:16.4310457Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:32:16.4310712Z ok (0.021s)
2022-11-23T01:32:16.4311182Z   test_stringmember_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4311519Z ok (0.012s)
2022-11-23T01:32:16.4311817Z   test_submodules1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4312217Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:32:16.4312445Z ok (0.023s)
2022-11-23T01:32:16.4312745Z   test_submodules2_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4313158Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)]
2022-11-23T01:32:16.4313371Z ok (0.024s)
2022-11-23T01:32:16.4313662Z   test_super1_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4314070Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:32:16.4314280Z ok (0.017s)
2022-11-23T01:32:16.4314587Z   test_super_class_method_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4315005Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4315219Z ok (0.010s)
2022-11-23T01:32:16.4315690Z   test_tensorlist_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:32:16.4316015Z ok (0.015s)
2022-11-23T01:32:16.4316639Z   test_torch_function_with_closure_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:32:16.4317284Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:32:16.4317706Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:32:16.4318193Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
2022-11-23T01:32:16.4318601Z   warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
2022-11-23T01:32:16.4318840Z ok (0.010s)
2022-11-23T01:32:16.4319273Z   test_unsupportedmethod_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:32:16.4319794Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:32:16.4320157Z unimplemented []
2022-11-23T01:32:16.4320533Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:32:16.4320953Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)]
2022-11-23T01:32:16.4321181Z ok (0.028s)
2022-11-23T01:32:16.4321647Z   test_unsupportedmodule_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:32:16.4322166Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)]
2022-11-23T01:32:16.4322455Z unimplemented []
2022-11-23T01:32:16.4322826Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)]
2022-11-23T01:32:16.4323235Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)]
2022-11-23T01:32:16.4323459Z ok (0.029s)
2022-11-23T01:32:16.4323763Z   test_viamodulecall_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4324169Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:32:16.4324399Z ok (0.015s)
2022-11-23T01:32:16.4324801Z   test_Size_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4325261Z inline_call [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.7/unittest/case.py', 1)]
2022-11-23T01:32:16.4325534Z unimplemented []
2022-11-23T01:32:16.4325887Z graph_break [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.7/unittest/case.py', 1)]
2022-11-23T01:32:16.4326278Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4326489Z ok (0.012s)
2022-11-23T01:32:16.4326902Z   test_abc_setattr_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:32:16.4327207Z unimplemented []
2022-11-23T01:32:16.4327627Z graph_break [('setattr(UserDefinedObjectVariable) <function ReproTests.test_abc_setattr.<locals>.Derived.__setattr__ at 0x7fd8f9caaef0>', 1)]
2022-11-23T01:32:16.4327940Z inline_call []
2022-11-23T01:32:16.4328240Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4328462Z ok (0.012s)
2022-11-23T01:32:16.4328751Z   test_batch_norm_act_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4329162Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4329384Z ok (0.026s)
2022-11-23T01:32:16.4329807Z   test_bigbird_unsqueeze_inplace_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4330246Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:32:16.4330538Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4330711Z ok (0.654s)
2022-11-23T01:32:16.4331005Z   test_boxes_len_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4331412Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4331637Z ok (0.012s)
2022-11-23T01:32:16.4331927Z   test_chunk_reformer_ff_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4332341Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:32:16.4332567Z ok (0.375s)
2022-11-23T01:32:16.4333034Z   test_class_member_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:32:16.4333410Z ok (0.012s)
2022-11-23T01:32:16.4333852Z   test_convert_boxes_to_pooler_format_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:32:16.4334163Z inline_call []
2022-11-23T01:32:16.4334325Z unimplemented []
2022-11-23T01:32:16.4334603Z graph_break [('dynamic shapes: repeat_interleave', 2)]
2022-11-23T01:32:16.4334947Z stats [('calls_captured', 10), ('fusions_possible', 6), ('unique_graphs', 4)]
2022-11-23T01:32:16.4335212Z ok (0.085s)
2022-11-23T01:32:16.4335522Z   test_create_rand_mask_from_inputs_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4335950Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T01:32:16.4336163Z ok (1.423s)
2022-11-23T01:32:16.4336454Z   test_dict_iter_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.009s)
2022-11-23T01:32:16.4336986Z   test_dict_list_values_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 8), ('ok', 8)]
2022-11-23T01:32:16.4337291Z unimplemented []
2022-11-23T01:32:16.4337726Z graph_break [('call_function in skip_files Builtin count', 2), ('call_function BuiltinVariable(zip) [UserDefinedObjectVariable(count), ListVariable()] {}', 2)]
2022-11-23T01:32:16.4338044Z ok (0.036s)
2022-11-23T01:32:16.4338468Z   test_do_paste_mask_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 12), ('ok', 11)]
2022-11-23T01:32:16.4338869Z unimplemented [('Dynamic slicing not supported', 1)]
2022-11-23T01:32:16.4339212Z graph_break [('dynamic shapes: arange', 6), ('Dynamic slicing not supported', 4)]
2022-11-23T01:32:16.4339585Z stats [('calls_captured', 159), ('fusions_possible', 148), ('unique_graphs', 11)]
2022-11-23T01:32:16.4339814Z ok (0.710s)
2022-11-23T01:32:16.4340277Z   test_ellipsis_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4340606Z ok (0.029s)
2022-11-23T01:32:16.4341016Z   test_exec_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:32:16.4341462Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:32:16.4341703Z unimplemented []
2022-11-23T01:32:16.4342024Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:32:16.4342265Z ok (0.006s)
2022-11-23T01:32:16.4342677Z   test_exec_wildcard_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:32:16.4343130Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:32:16.4343382Z unimplemented []
2022-11-23T01:32:16.4343689Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:32:16.4344063Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:32:16.4344288Z ok (0.014s)
2022-11-23T01:32:16.4344801Z   test_for_loop_graph_break_before_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4345112Z unimplemented []
2022-11-23T01:32:16.4345488Z graph_break [('call_function in skip_files /opt/conda/lib/python3.7/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T01:32:16.4345761Z inline_call []
2022-11-23T01:32:16.4346051Z stats [('calls_captured', 100), ('fusions_possible', 99), ('unique_graphs', 1)]
2022-11-23T01:32:16.4346285Z ok (0.169s)
2022-11-23T01:32:16.4346711Z   test_for_loop_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4347062Z inline_call []
2022-11-23T01:32:16.4347423Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.7/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T01:32:16.4347826Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4348052Z ok (0.015s)
2022-11-23T01:32:16.4348382Z   test_get_parameter_dtype_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4348809Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4349037Z ok (0.010s)
2022-11-23T01:32:16.4349353Z   test_grad_mode_carrying_correct_state_after_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... Break
2022-11-23T01:32:16.4349717Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:32:16.4349908Z unimplemented []
2022-11-23T01:32:16.4350238Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:32:16.4350601Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:32:16.4350830Z ok (0.015s)
2022-11-23T01:32:16.4351272Z   test_guard_fail_nested_tuple_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4351696Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:32:16.4351927Z ok (0.015s)
2022-11-23T01:32:16.4352562Z   test_guard_fail_tensor_bool_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... [2022-11-23 01:32:03,667] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT <graph break in check_equal> /var/lib/jenkins/workspace/test/dynamo/test_repros.py line 1356 
2022-11-23T01:32:16.4352990Z due to: 
2022-11-23T01:32:16.4353163Z Traceback (most recent call last):
2022-11-23T01:32:16.4353555Z   File "/opt/conda/lib/python3.7/site-packages/torch/_dynamo/variables/builder.py", line 820, in wrap_fx_proxy_cls
2022-11-23T01:32:16.4353899Z     + f"{typestr(example_value)} {proxy.node.op} {proxy.node.target}"
2022-11-23T01:32:16.4354342Z AssertionError: torch.* op returned non-Tensor bool call_function <built-in method allclose of type object at 0x7fda13197bc0>
2022-11-23T01:32:16.4354566Z 
2022-11-23T01:32:16.4354637Z from user code:
2022-11-23T01:32:16.4354914Z    File "/var/lib/jenkins/workspace/test/dynamo/test_repros.py", line 1358, in <graph break in check_equal>
2022-11-23T01:32:16.4355209Z     assert torch.allclose(expected, result)
2022-11-23T01:32:16.4355348Z 
2022-11-23T01:32:16.4355466Z Set torch._dynamo.config.verbose=True for more information
2022-11-23T01:32:16.4355627Z 
2022-11-23T01:32:16.4355631Z 
2022-11-23T01:32:16.4355754Z frames [('total', 7), ('ok', 6)]
2022-11-23T01:32:16.4356068Z unimplemented [('FOR_ITER UserDefinedObjectVariable(product)', 1)]
2022-11-23T01:32:16.4356596Z graph_break [('call torch._dynamo.disable() wrapped function <function ReproTests.test_guard_fail_tensor_bool.<locals>.fn.<locals>.get_expected at 0x7fd93e861cb0>', 5)]
2022-11-23T01:32:16.4356906Z ok (0.038s)
2022-11-23T01:32:16.4357394Z   test_guard_ordering_shape_fail_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.002s)
2022-11-23T01:32:16.4357831Z   test_hf_model_output_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4358244Z stats [('calls_captured', 4), ('unique_graphs', 4), ('fusions_possible', 0)]
2022-11-23T01:32:16.4358471Z ok (0.077s)
2022-11-23T01:32:16.4358772Z   test_hf_t5_forward_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4359193Z stats [('calls_captured', 11), ('fusions_possible', 10), ('unique_graphs', 1)]
2022-11-23T01:32:16.4359411Z ok (5.034s)
2022-11-23T01:32:16.4359834Z   test_indexing_with_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:32:16.4360272Z inline_call [('Tensor.numpy', 1)]
2022-11-23T01:32:16.4360459Z unimplemented []
2022-11-23T01:32:16.4360695Z graph_break [('Tensor.numpy', 1)]
2022-11-23T01:32:16.4361017Z stats [('unique_graphs', 2), ('calls_captured', 0), ('fusions_possible', -2)]
2022-11-23T01:32:16.4361232Z ok (0.022s)
2022-11-23T01:32:16.4361579Z   test_is_symbolic_tracing_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4362001Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4362227Z ok (0.008s)
2022-11-23T01:32:16.4362515Z   test_isinstance_dtype_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... ok (0.004s)
2022-11-23T01:32:16.4363059Z   test_isinstance_storage_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 12), ('ok', 11)]
2022-11-23T01:32:16.4363375Z unimplemented []
2022-11-23T01:32:16.4363841Z graph_break [('call_function BuiltinVariable(bytearray) [ListVariable()] {}', 1), ('inline in skipfiles: from_buffer /opt/conda/lib/python3.7/site-packages/torch/storage.py', 1)]
2022-11-23T01:32:16.4364364Z inline_call [('inline in skipfiles: from_buffer /opt/conda/lib/python3.7/site-packages/torch/storage.py', 1)]
2022-11-23T01:32:16.4365052Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:32:16.4365491Z   warnings.warn(message, UserWarning)
2022-11-23T01:32:16.4365691Z expected failure (0.016s)
2022-11-23T01:32:16.4366015Z   test_issue1466_size_aot_autograd_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... arf
2022-11-23T01:32:16.4366303Z arf
2022-11-23T01:32:16.4366507Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:32:16.4366685Z unimplemented []
2022-11-23T01:32:16.4367014Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:32:16.4367394Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:32:16.4367668Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4367855Z ok (0.047s)
2022-11-23T01:32:16.4368152Z   test_issue175_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4368548Z stats [('calls_captured', 12), ('fusions_possible', 11), ('unique_graphs', 1)]
2022-11-23T01:32:16.4368775Z ok (0.042s)
2022-11-23T01:32:16.4369259Z   test_longformer_chunk_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:32:16.4369593Z ok (1.778s)
2022-11-23T01:32:16.4369998Z   test_maml_item_capture_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:32:16.4370435Z inline_call [('inlining disallowed: <function grad at 0x7fd96167bd40>', 1)]
2022-11-23T01:32:16.4370671Z unimplemented []
2022-11-23T01:32:16.4371072Z graph_break [('call_function in skip_files /opt/conda/lib/python3.7/copy.py', 1), ('inlining disallowed: <function grad at 0x7fd96167bd40>', 1)]
2022-11-23T01:32:16.4371495Z stats [('calls_captured', 29), ('fusions_possible', 27), ('unique_graphs', 2)]
2022-11-23T01:32:16.4371723Z ok (0.190s)
2022-11-23T01:32:16.4372149Z   test_maml_no_item_capture_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:32:16.4372571Z inline_call [('inlining disallowed: <function grad at 0x7fd96167bd40>', 1)]
2022-11-23T01:32:16.4372807Z unimplemented []
2022-11-23T01:32:16.4373284Z graph_break [('Tensor.item', 2), ('call_function in skip_files /opt/conda/lib/python3.7/copy.py', 1), ('inlining disallowed: <function grad at 0x7fd96167bd40>', 1)]
2022-11-23T01:32:16.4373707Z stats [('calls_captured', 29), ('fusions_possible', 25), ('unique_graphs', 4)]
2022-11-23T01:32:16.4373934Z ok (0.182s)
2022-11-23T01:32:16.4374437Z   test_modules_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:32:16.4374765Z ok (0.015s)
2022-11-23T01:32:16.4375168Z   test_multi_dot_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:32:16.4375683Z inline_call [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.7/site-packages/torch/fx/_symbolic_trace.py', 1)]
2022-11-23T01:32:16.4375975Z unimplemented []
2022-11-23T01:32:16.4376373Z graph_break [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.7/site-packages/torch/fx/_symbolic_trace.py', 1)]
2022-11-23T01:32:16.4376773Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4377001Z ok (0.015s)
2022-11-23T01:32:16.4377320Z   test_multi_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires detectron2 (0.001s)
2022-11-23T01:32:16.4377929Z   test_named_buffers_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:32:16.4378262Z ok (0.015s)
2022-11-23T01:32:16.4378673Z   test_nn_parameter_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4379247Z inline_call [('inline in skipfiles: assertTrue /opt/conda/lib/python3.7/unittest/case.py', 1)]
2022-11-23T01:32:16.4379493Z unimplemented []
2022-11-23T01:32:16.4379837Z graph_break [('inline in skipfiles: assertTrue /opt/conda/lib/python3.7/unittest/case.py', 1)]
2022-11-23T01:32:16.4380225Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4380437Z ok (0.017s)
2022-11-23T01:32:16.4380885Z   test_not_rewrite_assert_for_other_errors_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4381334Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4381561Z ok (0.010s)
2022-11-23T01:32:16.4382008Z   test_not_rewrite_assert_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... unimplemented [('generic_jump TensorVariable()', 1)]
2022-11-23T01:32:16.4382333Z ok (0.005s)
2022-11-23T01:32:16.4382742Z   test_numpy_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:32:16.4383029Z unimplemented []
2022-11-23T01:32:16.4383450Z graph_break [('call torch._dynamo.disable() wrapped function <function ReproTests.test_numpy_list.<locals>.rand_gen at 0x7fd93fe4c050>', 1)]
2022-11-23T01:32:16.4383877Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:32:16.4384104Z ok (0.043s)
2022-11-23T01:32:16.4384585Z   test_optimized_deepcopy_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4385023Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4385247Z ok (0.015s)
2022-11-23T01:32:16.4385643Z   test_primtorch_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:32:16.4386144Z inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.7/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T01:32:16.4386485Z unimplemented []
2022-11-23T01:32:16.4386865Z graph_break [('inline in skipfiles: _fn /opt/conda/lib/python3.7/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T01:32:16.4387127Z ok (0.007s)
2022-11-23T01:32:16.4387727Z   test_primtorch_no_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.7/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T01:32:16.4388140Z expected failure (0.004s)
2022-11-23T01:32:16.4388562Z   test_recursive_map_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4388860Z inline_call []
2022-11-23T01:32:16.4389159Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:32:16.4389385Z ok (0.016s)
2022-11-23T01:32:16.4389673Z   test_reformer_eval_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4390092Z stats [('calls_captured', 10), ('fusions_possible', 9), ('unique_graphs', 1)]
2022-11-23T01:32:16.4390318Z ok (0.059s)
2022-11-23T01:32:16.4390530Z   test_reformer_min_chunk_len_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4390714Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4390787Z ok (0.014s)
2022-11-23T01:32:16.4390993Z   test_reformer_sorting_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... inline_call []
2022-11-23T01:32:16.4391192Z stats [('calls_captured', 14), ('fusions_possible', 13), ('unique_graphs', 1)]
2022-11-23T01:32:16.4391259Z ok (0.322s)
2022-11-23T01:32:16.4391578Z   test_reformer_train_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:32:16.4391870Z inline_call [('inline in skipfiles: save_for_backward /opt/conda/lib/python3.7/site-packages/torch/autograd/function.py', 1)]
2022-11-23T01:32:16.4391947Z unimplemented []
2022-11-23T01:32:16.4392304Z graph_break [('autograd.Function with requires_grad', 1), ('inline in skipfiles: save_for_backward /opt/conda/lib/python3.7/site-packages/torch/autograd/function.py', 1)]
2022-11-23T01:32:16.4392510Z stats [('calls_captured', 10), ('fusions_possible', 6), ('unique_graphs', 4)]
2022-11-23T01:32:16.4392577Z ok (0.091s)
2022-11-23T01:32:16.4392942Z   test_reinplacing_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:32:16.4393061Z frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4393256Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:32:16.4393383Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4393451Z ok (2.482s)
2022-11-23T01:32:16.4393827Z   test_relative_import_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4393892Z ok (0.010s)
2022-11-23T01:32:16.4394302Z   test_relative_import_no_modulename_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4394369Z ok (0.008s)
2022-11-23T01:32:16.4394759Z   test_rewrite_assert_noop_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2022-11-23T01:32:16.4394825Z ok (0.028s)
2022-11-23T01:32:16.4395212Z   test_rewrite_assert_with_fstring_msg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... unimplemented [('generic_jump TensorVariable()', 1)]
2022-11-23T01:32:16.4395317Z ok (0.006s)
2022-11-23T01:32:16.4395715Z   test_rewrite_assert_with_msg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 18), ('fusions_possible', 15), ('unique_graphs', 3)]
2022-11-23T01:32:16.4395782Z ok (0.029s)
2022-11-23T01:32:16.4396206Z   test_rewrite_assert_without_msg_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 12), ('fusions_possible', 10), ('unique_graphs', 2)]
2022-11-23T01:32:16.4396272Z ok (0.019s)
2022-11-23T01:32:16.4396583Z   test_rng_state_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4396781Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:32:16.4396846Z ok (0.018s)
2022-11-23T01:32:16.4397391Z   test_seq_append_list_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:32:16.4397463Z ok (0.023s)
2022-11-23T01:32:16.4398138Z   test_sigmoid_out_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1535: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:32:16.4398230Z   torch.sigmoid(inp, out=out1)
2022-11-23T01:32:16.4398351Z frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4398508Z inline_call [('missing: BUILD_MAP_UNPACK_WITH_CALL', 1)]
2022-11-23T01:32:16.4398587Z unimplemented []
2022-11-23T01:32:16.4398755Z graph_break [('missing: BUILD_MAP_UNPACK_WITH_CALL', 1)]
2022-11-23T01:32:16.4398953Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4399821Z /opt/conda/lib/python3.7/site-packages/torch/_dynamo/utils.py:1103: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:32:16.4399917Z   return node.target(*args, **kwargs)
2022-11-23T01:32:16.4400424Z <string>:7: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:32:16.4400498Z ok (0.034s)
2022-11-23T01:32:16.4400902Z   test_slice_into_list_mutable_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 30), ('fusions_possible', 29), ('unique_graphs', 1)]
2022-11-23T01:32:16.4400968Z ok (0.043s)
2022-11-23T01:32:16.4401302Z   test_slicing_dynamic_shape_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4401457Z unimplemented [('Dynamic slicing not supported', 2)]
2022-11-23T01:32:16.4401655Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:32:16.4401780Z ok (0.013s)
2022-11-23T01:32:16.4402126Z   test_slicing_dynamic_shape_setitem_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 1)]
2022-11-23T01:32:16.4402293Z unimplemented [('Dynamic slicing not supported', 2)]
2022-11-23T01:32:16.4402451Z graph_break [('Dynamic slicing not supported', 1)]
2022-11-23T01:32:16.4402649Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4402751Z ok (0.015s)
2022-11-23T01:32:16.4403517Z   test_sort_out_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:32:16.4403628Z   torch.sort(tensor, out=(values1, indices1))
2022-11-23T01:32:16.4403750Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:32:16.4403971Z inline_call [('missing: BUILD_MAP_UNPACK_WITH_CALL', 2)]
2022-11-23T01:32:16.4404059Z unimplemented []
2022-11-23T01:32:16.4404231Z graph_break [('missing: BUILD_MAP_UNPACK_WITH_CALL', 2)]
2022-11-23T01:32:16.4404429Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:32:16.4405375Z /opt/conda/lib/python3.7/site-packages/torch/_dynamo/utils.py:1103: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:32:16.4405517Z   return node.target(*args, **kwargs)
2022-11-23T01:32:16.4406039Z <string>:9: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:32:16.4406108Z ok (0.068s)
2022-11-23T01:32:16.4406499Z   test_specialized_stride_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4406687Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4406755Z ok (0.007s)
2022-11-23T01:32:16.4407151Z   test_tensor_isinstance_tuple_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4407350Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4407416Z ok (0.006s)
2022-11-23T01:32:16.4407740Z   test_tokenization_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:32:16.4408042Z inline_call [('inline in skipfiles: __init__ /opt/conda/lib/python3.7/collections/__init__.py', 2)]
2022-11-23T01:32:16.4408120Z unimplemented []
2022-11-23T01:32:16.4408343Z graph_break [('inline in skipfiles: __init__ /opt/conda/lib/python3.7/collections/__init__.py', 2)]
2022-11-23T01:32:16.4408410Z ok (0.013s)
2022-11-23T01:32:16.4408847Z   test_torch_ops_aten_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4408958Z ok (0.017s)
2022-11-23T01:32:16.4409353Z   test_vdd_duplicate_error_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:32:16.4409419Z ok (0.017s)
2022-11-23T01:32:16.4409863Z   test_while_loop_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:32:16.4409938Z inline_call []
2022-11-23T01:32:16.4410197Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.7/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T01:32:16.4410395Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4410461Z ok (0.010s)
2022-11-23T01:32:16.4410672Z   test_with_on_graph_break_inst_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... Hello world
2022-11-23T01:32:16.4410742Z Hello world
2022-11-23T01:32:16.4410860Z frames [('total', 6), ('ok', 6)]
2022-11-23T01:32:16.4411142Z inline_call [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:32:16.4411220Z unimplemented []
2022-11-23T01:32:16.4411469Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 2), ('Tensor.backward', 1)]
2022-11-23T01:32:16.4411670Z stats [('calls_captured', 11), ('fusions_possible', 7), ('unique_graphs', 4)]
2022-11-23T01:32:16.4411735Z ok (0.036s)
2022-11-23T01:32:16.4411964Z   test_builtin_functions_on_cuda_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... skip: requires cuda (0.001s)
2022-11-23T01:32:16.4412287Z   test_builtin_getitem_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4412485Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4412551Z ok (0.021s)
2022-11-23T01:32:16.4412868Z   test_builtin_max_min_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4413051Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:32:16.4413155Z ok (0.012s)
2022-11-23T01:32:16.4413534Z   test_feed_random_values_into_graph_only_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4413729Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:32:16.4413794Z ok (0.013s)
2022-11-23T01:32:16.4414166Z   test_multiple_consecutive_random_calls_before_graph_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4414359Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4414424Z ok (0.015s)
2022-11-23T01:32:16.4414737Z   test_no_recompilations_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4414928Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4414995Z ok (0.010s)
2022-11-23T01:32:16.4415315Z   test_numpy_correctness_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:32:16.4415502Z unimplemented [('reconstruct: ConstantVariable(float64)', 1)]
2022-11-23T01:32:16.4415652Z graph_break [('Tensor.numpy', 2), ('numpy', 2)]
2022-11-23T01:32:16.4415846Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4415911Z ok (0.041s)
2022-11-23T01:32:16.4416240Z   test_random_call_with_while_loop_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4416478Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:32:16.4416544Z ok (0.011s)
2022-11-23T01:32:16.4416886Z   test_random_values_with_graph_break_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:32:16.4417008Z unimplemented []
2022-11-23T01:32:16.4417142Z graph_break [('Tensor.item', 2)]
2022-11-23T01:32:16.4417336Z stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)]
2022-11-23T01:32:16.4417400Z ok (0.032s)
2022-11-23T01:32:16.4417727Z   test_unspec_float_precision_no_fake_tensors (torch._dynamo.testing.make_test_cls_with_patches.<locals>.DummyTestClass) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:32:16.4417919Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:32:16.4417986Z ok (0.336s)
2022-11-23T01:32:16.4417995Z 
2022-11-23T01:32:16.4418183Z ----------------------------------------------------------------------
2022-11-23T01:32:16.4418261Z Ran 375 tests in 21.626s
2022-11-23T01:32:16.4418267Z 
2022-11-23T01:32:16.4418362Z OK (skipped=7, expected failures=2)
2022-11-23T01:32:16.4418368Z 
2022-11-23T01:32:16.4418452Z Generating XML reports...
2022-11-23T01:32:16.4418855Z Generated XML report: test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsFunctionTests-20221123013153.xml
2022-11-23T01:32:16.4419238Z Generated XML report: test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsMiscTests-20221123013153.xml
2022-11-23T01:32:16.4419624Z Generated XML report: test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsNNModuleTests-20221123013153.xml
2022-11-23T01:32:16.4420000Z Generated XML report: test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsReproTests-20221123013153.xml
2022-11-23T01:32:16.4420380Z Generated XML report: test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsUnspecTests-20221123013153.xml
2022-11-23T01:32:16.4420386Z 
2022-11-23T01:32:16.4422182Z ##[endgroup]
2022-11-23T01:32:16.4422676Z FINISHED PRINTING LOG FILE of dynamo/test_no_fake_tensors (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_no_fake_tensors_tcqjhop3)
2022-11-23T01:32:16.4422687Z 
2022-11-23T01:32:21.3501295Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:32:21.5216476Z Ignoring disabled issues:  []
2022-11-23T01:32:21.5426416Z Running profiler/test_profiler ... [2022-11-23 01:32:21.542241]
2022-11-23T01:32:21.5428360Z Executing ['/opt/conda/bin/python', '-bb', 'profiler/test_profiler.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:21.542576]
2022-11-23T01:32:36.7589175Z 
2022-11-23T01:32:36.7589700Z Expand the folded group to see the log file of inductor/test_torchinductor
2022-11-23T01:32:36.7591043Z ##[group]PRINTING LOG FILE of inductor/test_torchinductor (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_o_mfo_yw)
2022-11-23T01:32:36.7975626Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:32:36.7976340Z Test results will be stored in test-reports/python-unittest/inductor.test_torchinductor
2022-11-23T01:32:36.7976662Z 
2022-11-23T01:32:36.7976769Z Running tests...
2022-11-23T01:32:36.7977246Z ----------------------------------------------------------------------
2022-11-23T01:32:36.7982586Z   test_auto_simd (__main__.CPUReproTests) ... ok (0.366s)
2022-11-23T01:32:36.7983140Z   test_complex_memory_overlap (__main__.CPUReproTests) ... ok (0.006s)
2022-11-23T01:32:36.7984144Z   test_conv_stride_constraints (__main__.CPUReproTests) ... [2022-11-23 01:13:26,845] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:32:36.7985680Z [2022-11-23 01:13:29,394] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7i/c7iyv7dvcolgqlnjpdc2ophj6ebnnoj6h4qsyiajwltoq6gkoyy6.py
2022-11-23T01:32:36.7986686Z [2022-11-23 01:13:29,394] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:32:36.7987526Z [2022-11-23 01:13:29,412] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:32:36.7988670Z [2022-11-23 01:13:29,425] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7i/c7itsynl2vkz7jitbl4iklwk2omp6o5ztdmjbaivkv3lhw2d65e4.py
2022-11-23T01:32:36.7989602Z [2022-11-23 01:13:29,425] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:32:36.7989905Z 
2022-11-23T01:32:36.7990054Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.7990364Z import torch
2022-11-23T01:32:36.7990642Z import random
2022-11-23T01:32:36.7990993Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.7991451Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.7991698Z 
2022-11-23T01:32:36.7991847Z aten = torch.ops.aten
2022-11-23T01:32:36.7992275Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.7992667Z async_compile = AsyncCompile()
2022-11-23T01:32:36.7992857Z 
2022-11-23T01:32:36.7992864Z 
2022-11-23T01:32:36.7993079Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.7993613Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.7994190Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:36.7994593Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:36.7994883Z {
2022-11-23T01:32:36.7995178Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.7995493Z     {
2022-11-23T01:32:36.7995759Z         #pragma omp for  collapse(2)
2022-11-23T01:32:36.7996097Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:36.7996384Z         {
2022-11-23T01:32:36.7996634Z             for(long i1=0; i1<5; i1+=1)
2022-11-23T01:32:36.7996926Z             {
2022-11-23T01:32:36.7997363Z                 #pragma GCC ivdep
2022-11-23T01:32:36.7997686Z                 for(long i2=0; i2<256; i2+=1)
2022-11-23T01:32:36.7997989Z                 {
2022-11-23T01:32:36.7998244Z                     {
2022-11-23T01:32:36.7998481Z                         {
2022-11-23T01:32:36.7998837Z                             auto tmp0 = in_ptr0[i2 + (256*i1) + (1280*i0)];
2022-11-23T01:32:36.7999216Z                             out_ptr0[i1 + (5*i2) + (1280*i0)] = tmp0;
2022-11-23T01:32:36.7999514Z                         }
2022-11-23T01:32:36.7999781Z                     }
2022-11-23T01:32:36.8000060Z                 }
2022-11-23T01:32:36.8000320Z             }
2022-11-23T01:32:36.8000577Z         }
2022-11-23T01:32:36.8000831Z     }
2022-11-23T01:32:36.8001077Z }
2022-11-23T01:32:36.8001398Z ''')
2022-11-23T01:32:36.8001573Z 
2022-11-23T01:32:36.8001579Z 
2022-11-23T01:32:36.8001731Z async_compile.wait(globals())
2022-11-23T01:32:36.8002078Z del async_compile
2022-11-23T01:32:36.8002243Z 
2022-11-23T01:32:36.8002362Z def call(args):
2022-11-23T01:32:36.8002679Z     inp_1, weight_1 = args
2022-11-23T01:32:36.8002992Z     args.clear()
2022-11-23T01:32:36.8003511Z     buf0 = empty_strided((2, 5, 16, 16), (1280, 1, 80, 5), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8003982Z     kernel_cpp_0(c_void_p(inp_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:36.8004589Z     del inp_1
2022-11-23T01:32:36.8004961Z     buf1 = aten.convolution(buf0, weight_1, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:36.8005628Z     assert_size_stride(buf1, (2, 6, 14, 14), (1176, 1, 84, 6))
2022-11-23T01:32:36.8005955Z     del buf0
2022-11-23T01:32:36.8006210Z     del weight_1
2022-11-23T01:32:36.8006493Z     return (buf1, )
2022-11-23T01:32:36.8006673Z 
2022-11-23T01:32:36.8006681Z 
2022-11-23T01:32:36.8006986Z if __name__ == "__main__":
2022-11-23T01:32:36.8007348Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.8007756Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.8008382Z     inp_1 = rand_strided((2, 5, 16, 16), (1280, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8009019Z     weight_1 = rand_strided((6, 5, 3, 3), (45, 1, 15, 5), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8009537Z     print_performance(lambda: call([inp_1, weight_1]))
2022-11-23T01:32:36.8009780Z 
2022-11-23T01:32:36.8009787Z 
2022-11-23T01:32:36.8009945Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.8011945Z import torch
2022-11-23T01:32:36.8012207Z import random
2022-11-23T01:32:36.8012524Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.8012882Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.8013102Z 
2022-11-23T01:32:36.8013222Z aten = torch.ops.aten
2022-11-23T01:32:36.8013575Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.8013936Z async_compile = AsyncCompile()
2022-11-23T01:32:36.8014134Z 
2022-11-23T01:32:36.8014139Z 
2022-11-23T01:32:36.8014275Z async_compile.wait(globals())
2022-11-23T01:32:36.8014581Z del async_compile
2022-11-23T01:32:36.8014740Z 
2022-11-23T01:32:36.8014862Z def call(args):
2022-11-23T01:32:36.8015155Z     inp_1, weight_1 = args
2022-11-23T01:32:36.8015475Z     args.clear()
2022-11-23T01:32:36.8015854Z     buf0 = aten.convolution(inp_1, weight_1, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:36.8016299Z     assert_size_stride(buf0, (2, 6, 14, 14), (1176, 196, 14, 1))
2022-11-23T01:32:36.8016644Z     del inp_1
2022-11-23T01:32:36.8016896Z     del weight_1
2022-11-23T01:32:36.8017186Z     return (buf0, )
2022-11-23T01:32:36.8017374Z 
2022-11-23T01:32:36.8017380Z 
2022-11-23T01:32:36.8017495Z if __name__ == "__main__":
2022-11-23T01:32:36.8017840Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.8018282Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.8018958Z     inp_1 = rand_strided((2, 5, 16, 16), (1280, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8019562Z     weight_1 = rand_strided((6, 5, 3, 3), (45, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8020018Z     print_performance(lambda: call([inp_1, weight_1]))
2022-11-23T01:32:36.8020273Z 
2022-11-23T01:32:36.8020385Z ok (2.691s)
2022-11-23T01:32:36.8021198Z   test_inplace_add_alpha (__main__.CPUReproTests) ... [2022-11-23 01:13:29,440] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:32:36.8022288Z [2022-11-23 01:13:31,990] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3g/c3gthha2bgpewu4xuyby5aelsklug6trtvge2exgq5esw3hcuttq.py
2022-11-23T01:32:36.8023250Z [2022-11-23 01:13:31,990] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:32:36.8023586Z 
2022-11-23T01:32:36.8023753Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.8024093Z import torch
2022-11-23T01:32:36.8024359Z import random
2022-11-23T01:32:36.8024789Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.8025240Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.8025497Z 
2022-11-23T01:32:36.8025623Z aten = torch.ops.aten
2022-11-23T01:32:36.8026021Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.8026457Z async_compile = AsyncCompile()
2022-11-23T01:32:36.8026666Z 
2022-11-23T01:32:36.8026673Z 
2022-11-23T01:32:36.8026924Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.8027480Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.8028061Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:36.8028479Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:36.8028866Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:36.8029306Z {
2022-11-23T01:32:36.8029623Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.8029928Z     {
2022-11-23T01:32:36.8030200Z         #pragma omp for 
2022-11-23T01:32:36.8030517Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:36.8030804Z         {
2022-11-23T01:32:36.8031065Z             {
2022-11-23T01:32:36.8031319Z                 {
2022-11-23T01:32:36.8031623Z                     auto tmp0 = out_ptr0[i0];
2022-11-23T01:32:36.8032042Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:36.8032433Z                     auto tmp2 = static_cast<float>(0.55);
2022-11-23T01:32:36.8032764Z                     auto tmp3 = tmp1 * tmp2;
2022-11-23T01:32:36.8033074Z                     auto tmp4 = tmp0 + tmp3;
2022-11-23T01:32:36.8033396Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:32:36.8033673Z                 }
2022-11-23T01:32:36.8033916Z             }
2022-11-23T01:32:36.8034174Z         }
2022-11-23T01:32:36.8034432Z     }
2022-11-23T01:32:36.8034661Z }
2022-11-23T01:32:36.8034957Z ''')
2022-11-23T01:32:36.8035115Z 
2022-11-23T01:32:36.8035123Z 
2022-11-23T01:32:36.8035278Z async_compile.wait(globals())
2022-11-23T01:32:36.8035597Z del async_compile
2022-11-23T01:32:36.8035780Z 
2022-11-23T01:32:36.8035911Z def call(args):
2022-11-23T01:32:36.8036198Z     x_1, y_1 = args
2022-11-23T01:32:36.8036469Z     args.clear()
2022-11-23T01:32:36.8036919Z     kernel_cpp_0(c_void_p(x_1.data_ptr()), c_void_p(y_1.data_ptr()), c_void_p(x_1.data_ptr()))
2022-11-23T01:32:36.8037429Z     del y_1
2022-11-23T01:32:36.8037697Z     return (x_1, )
2022-11-23T01:32:36.8037873Z 
2022-11-23T01:32:36.8037880Z 
2022-11-23T01:32:36.8038016Z if __name__ == "__main__":
2022-11-23T01:32:36.8038391Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.8038849Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.8039438Z     x_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8040044Z     y_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8040492Z     print_performance(lambda: call([x_1, y_1]))
2022-11-23T01:32:36.8040739Z 
2022-11-23T01:32:36.8040825Z ok (2.566s)
2022-11-23T01:32:36.8041632Z   test_inplace_squeeze_needed (__main__.CPUReproTests) ... [2022-11-23 01:13:32,000] torch._dynamo.eval_frame: [DEBUG] skipping __init__ /opt/conda/lib/python3.7/contextlib.py
2022-11-23T01:32:36.8042480Z [2022-11-23 01:13:32,001] torch._dynamo.eval_frame: [DEBUG] skipping __enter__ /opt/conda/lib/python3.7/contextlib.py
2022-11-23T01:32:36.8043295Z [2022-11-23 01:13:32,001] torch._dynamo.eval_frame: [DEBUG] skipping __init__ /opt/conda/lib/python3.7/contextlib.py
2022-11-23T01:32:36.8044087Z [2022-11-23 01:13:32,001] torch._dynamo.eval_frame: [DEBUG] skipping __enter__ /opt/conda/lib/python3.7/contextlib.py
2022-11-23T01:32:36.8044933Z [2022-11-23 01:13:32,001] torch._dynamo.eval_frame: [DEBUG] skipping enable_dynamic /opt/conda/lib/python3.7/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T01:32:36.8045730Z [2022-11-23 01:13:32,006] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:36.8046462Z [2022-11-23 01:13:32,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4698
2022-11-23T01:32:36.8047146Z [2022-11-23 01:13:32,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF mod []
2022-11-23T01:32:36.8047824Z [2022-11-23 01:13:32,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:36.8048605Z [2022-11-23 01:13:32,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:36.8049364Z [2022-11-23 01:13:32,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:36.8050076Z [2022-11-23 01:13:32,054] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:36.8050792Z [2022-11-23 01:13:32,056] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:36.8051644Z [2022-11-23 01:13:32,082] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:36.8052228Z [2022-11-23 01:13:32,082] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:36.8052695Z  __compiled_fn_0 <eval_with_key>.7 opcode, name, target, args, kwargs
2022-11-23T01:32:36.8053082Z placeholder, x, x, (), {}
2022-11-23T01:32:36.8053484Z call_module, mod_0, mod_0, (x,), {}
2022-11-23T01:32:36.8053806Z call_module, mod_1, mod_1, (mod_0,), {}
2022-11-23T01:32:36.8054148Z call_module, mod_2, mod_2, (mod_1,), {}
2022-11-23T01:32:36.8054492Z output, output, output, ((mod_2,),), {}
2022-11-23T01:32:36.8054700Z 
2022-11-23T01:32:36.8055145Z [2022-11-23 01:13:32,083] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 4696 
2022-11-23T01:32:36.8055628Z 4698           0 LOAD_DEREF               0 (mod)
2022-11-23T01:32:36.8055969Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:36.8056296Z                4 CALL_FUNCTION            1
2022-11-23T01:32:36.8056578Z                6 RETURN_VALUE
2022-11-23T01:32:36.8056755Z 
2022-11-23T01:32:36.8056852Z  
2022-11-23T01:32:36.8057502Z [2022-11-23 01:13:32,083] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 4696 
2022-11-23T01:32:36.8057995Z 4696           0 LOAD_GLOBAL              0 (__compiled_fn_0)
2022-11-23T01:32:36.8058362Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:36.8058694Z                4 CALL_FUNCTION            1
2022-11-23T01:32:36.8059024Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:36.8059341Z                8 RETURN_VALUE
2022-11-23T01:32:36.8059526Z 
2022-11-23T01:32:36.8059625Z  
2022-11-23T01:32:36.8060049Z [2022-11-23 01:13:32,250] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:36.8060416Z  - 
2022-11-23T01:32:36.8060781Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:36.8061056Z             {
2022-11-23T01:32:36.8061408Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.8061788Z                 'code': None,
2022-11-23T01:32:36.8062319Z                 'obj_weakref': <weakref at 0x7f713009f8f0; to 'Tensor' at 0x7f7193234c50>
2022-11-23T01:32:36.8063005Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.8063428Z             }
2022-11-23T01:32:36.8063687Z             
2022-11-23T01:32:36.8063953Z  - 
2022-11-23T01:32:36.8064317Z             local 'mod' NN_MODULE
2022-11-23T01:32:36.8064670Z             {
2022-11-23T01:32:36.8065049Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:36.8065534Z                 'code': ['___check_obj_id(mod, 140126076171216)'],
2022-11-23T01:32:36.8066132Z                 'obj_weakref': <weakref at 0x7f712a3f3230; to 'Sequential' at 0x7f71a4fe73d0>
2022-11-23T01:32:36.8066811Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:36.8067187Z             }
2022-11-23T01:32:36.8067463Z             
2022-11-23T01:32:36.8067738Z  - 
2022-11-23T01:32:36.8068109Z             local_nn_module 'mod[0]' NN_MODULE
2022-11-23T01:32:36.8068414Z             {
2022-11-23T01:32:36.8068789Z                 'guard_types': None,
2022-11-23T01:32:36.8069165Z                 'code': None,
2022-11-23T01:32:36.8069550Z                 'obj_weakref': None
2022-11-23T01:32:36.8069960Z                 'guarded_class': None
2022-11-23T01:32:36.8070245Z             }
2022-11-23T01:32:36.8070499Z             
2022-11-23T01:32:36.8070764Z  - 
2022-11-23T01:32:36.8071154Z             local_nn_module 'mod[1]' NN_MODULE
2022-11-23T01:32:36.8071445Z             {
2022-11-23T01:32:36.8071830Z                 'guard_types': None,
2022-11-23T01:32:36.8072167Z                 'code': None,
2022-11-23T01:32:36.8072556Z                 'obj_weakref': None
2022-11-23T01:32:36.8073067Z                 'guarded_class': None
2022-11-23T01:32:36.8073354Z             }
2022-11-23T01:32:36.8073625Z             
2022-11-23T01:32:36.8073919Z  - 
2022-11-23T01:32:36.8074296Z             local_nn_module 'mod[2]' NN_MODULE
2022-11-23T01:32:36.8074622Z             {
2022-11-23T01:32:36.8074988Z                 'guard_types': None,
2022-11-23T01:32:36.8075353Z                 'code': None,
2022-11-23T01:32:36.8075716Z                 'obj_weakref': None
2022-11-23T01:32:36.8076162Z                 'guarded_class': None
2022-11-23T01:32:36.8076452Z             }
2022-11-23T01:32:36.8076728Z             
2022-11-23T01:32:36.8077544Z [2022-11-23 01:13:32,251] torch._dynamo.eval_frame: [DEBUG] skipping _fn /opt/conda/lib/python3.7/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T01:32:36.8078397Z [2022-11-23 01:13:32,251] torch._dynamo.eval_frame: [DEBUG] skipping nothing /opt/conda/lib/python3.7/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T01:32:36.8079148Z [2022-11-23 01:13:32,746] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 0
2022-11-23T01:32:36.8080152Z [2022-11-23 01:13:35,363] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gz/cgzvg5pq3jiemrouyfvrdgqlz4i4rglz2fpz4i7cpydudt7estkc.py
2022-11-23T01:32:36.8081100Z [2022-11-23 01:13:35,364] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 0
2022-11-23T01:32:36.8081893Z [2022-11-23 01:13:35,366] torch._dynamo.eval_frame: [DEBUG] skipping __exit__ /opt/conda/lib/python3.7/contextlib.py
2022-11-23T01:32:36.8082663Z [2022-11-23 01:13:35,366] torch._dynamo.eval_frame: [DEBUG] skipping __exit__ /opt/conda/lib/python3.7/contextlib.py
2022-11-23T01:32:36.8083007Z 
2022-11-23T01:32:36.8083160Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.8083488Z import torch
2022-11-23T01:32:36.8083767Z import random
2022-11-23T01:32:36.8084136Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.8084596Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.8084873Z 
2022-11-23T01:32:36.8085019Z aten = torch.ops.aten
2022-11-23T01:32:36.8085438Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.8085836Z async_compile = AsyncCompile()
2022-11-23T01:32:36.8086061Z 
2022-11-23T01:32:36.8086068Z 
2022-11-23T01:32:36.8086298Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.8086884Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.8087469Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:36.8087860Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:32:36.8088207Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:36.8088565Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:36.8088939Z                        const float* __restrict__ in_ptr3,
2022-11-23T01:32:36.8089323Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:36.8089678Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:36.8090026Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:36.8090387Z                        bool* __restrict__ out_ptr4)
2022-11-23T01:32:36.8090685Z {
2022-11-23T01:32:36.8090960Z     auto in_ptr0 = in_out_ptr0;
2022-11-23T01:32:36.8091278Z     auto out_ptr1 = in_out_ptr1;
2022-11-23T01:32:36.8091581Z     {
2022-11-23T01:32:36.8091828Z         {
2022-11-23T01:32:36.8092114Z             float tmp3 = 0;
2022-11-23T01:32:36.8092488Z             #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.8092807Z             {
2022-11-23T01:32:36.8093139Z                 #pragma omp for reduction(+:tmp3) 
2022-11-23T01:32:36.8093505Z                 for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:36.8093795Z                 {
2022-11-23T01:32:36.8094062Z                     {
2022-11-23T01:32:36.8094362Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:36.8094705Z                         auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:36.8095198Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:36.8197462Z                         tmp3 += tmp2;
2022-11-23T01:32:36.8197776Z                     }
2022-11-23T01:32:36.8198027Z                 }
2022-11-23T01:32:36.8198249Z             }
2022-11-23T01:32:36.8198497Z             out_ptr0[0] = tmp3;
2022-11-23T01:32:36.8198762Z         }
2022-11-23T01:32:36.8199004Z     }
2022-11-23T01:32:36.8199209Z     {
2022-11-23T01:32:36.8199622Z         {
2022-11-23T01:32:36.8199895Z             float tmp8 = 0;
2022-11-23T01:32:36.8200179Z             float tmp9 = 0;
2022-11-23T01:32:36.8200544Z             #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.8200883Z             {
2022-11-23T01:32:36.8201245Z                 #pragma omp for reduction(+:tmp8) reduction(+:tmp9) 
2022-11-23T01:32:36.8201669Z                 for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:36.8201955Z                 {
2022-11-23T01:32:36.8202230Z                     {
2022-11-23T01:32:36.8202573Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:36.8202924Z                         auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:36.8203138Z                         auto tmp3 = out_ptr0[0];
2022-11-23T01:32:36.8203474Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:36.8203811Z                         auto tmp4 = static_cast<float>(10);
2022-11-23T01:32:36.8204146Z                         auto tmp5 = tmp3 / tmp4;
2022-11-23T01:32:36.8204596Z                         auto tmp6 = tmp2 - tmp5;
2022-11-23T01:32:36.8204918Z                         auto tmp7 = tmp6 * tmp6;
2022-11-23T01:32:36.8205206Z                         tmp8 += tmp7;
2022-11-23T01:32:36.8205495Z                         tmp9 += tmp2;
2022-11-23T01:32:36.8205793Z                     }
2022-11-23T01:32:36.8206046Z                 }
2022-11-23T01:32:36.8206279Z             }
2022-11-23T01:32:36.8206564Z             out_ptr1[0] = tmp8;
2022-11-23T01:32:36.8206882Z             out_ptr2[0] = tmp9;
2022-11-23T01:32:36.8207151Z         }
2022-11-23T01:32:36.8207394Z     }
2022-11-23T01:32:36.8207704Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.8208010Z     {
2022-11-23T01:32:36.8208263Z         #pragma omp for 
2022-11-23T01:32:36.8208568Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:36.8208863Z         {
2022-11-23T01:32:36.8209092Z             {
2022-11-23T01:32:36.8209364Z                 {
2022-11-23T01:32:36.8209681Z                     auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:36.8210042Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:36.8210385Z                     auto tmp3 = out_ptr2[0];
2022-11-23T01:32:36.8210726Z                     auto tmp7 = out_ptr1[0];
2022-11-23T01:32:36.8211049Z                     auto tmp14 = in_ptr2[i0];
2022-11-23T01:32:36.8211400Z                     auto tmp16 = in_ptr3[i0];
2022-11-23T01:32:36.8211737Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:36.8212114Z                     auto tmp4 = static_cast<float>(10);
2022-11-23T01:32:36.8212511Z                     auto tmp5 = tmp3 / tmp4;
2022-11-23T01:32:36.8212970Z                     auto tmp6 = tmp2 - tmp5;
2022-11-23T01:32:36.8213307Z                     auto tmp8 = tmp7 / tmp4;
2022-11-23T01:32:36.8213816Z                     auto tmp9 = static_cast<float>(1e-05);
2022-11-23T01:32:36.8214205Z                     auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:36.8214584Z                     auto tmp11 = std::sqrt(tmp10);
2022-11-23T01:32:36.8214954Z                     auto tmp12 = 1 / tmp11;
2022-11-23T01:32:36.8215307Z                     auto tmp13 = tmp6 * tmp12;
2022-11-23T01:32:36.8215665Z                     auto tmp15 = tmp13 * tmp14;
2022-11-23T01:32:36.8216004Z                     auto tmp17 = tmp15 + tmp16;
2022-11-23T01:32:36.8216374Z                     auto tmp18 = tmp17 * (tmp17>0);
2022-11-23T01:32:36.8216754Z                     auto tmp19 = static_cast<float>(0);
2022-11-23T01:32:36.8217137Z                     auto tmp20 = tmp18 <= tmp19;
2022-11-23T01:32:36.8217655Z                     in_out_ptr0[i0] = tmp13;
2022-11-23T01:32:36.8218012Z                     out_ptr3[i0] = tmp18;
2022-11-23T01:32:36.8218346Z                     out_ptr4[i0] = tmp20;
2022-11-23T01:32:36.8218660Z                 }
2022-11-23T01:32:36.8218914Z             }
2022-11-23T01:32:36.8219135Z         }
2022-11-23T01:32:36.8219430Z         #pragma omp single
2022-11-23T01:32:36.8219747Z         {
2022-11-23T01:32:36.8220002Z             {
2022-11-23T01:32:36.8220218Z                 {
2022-11-23T01:32:36.8220484Z                     auto tmp0 = out_ptr1[0];
2022-11-23T01:32:36.8220791Z                     auto tmp1 = static_cast<float>(10);
2022-11-23T01:32:36.8221106Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:36.8221502Z                     auto tmp3 = static_cast<float>(1e-05);
2022-11-23T01:32:36.8221789Z                     auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:36.8222128Z                     auto tmp5 = std::sqrt(tmp4);
2022-11-23T01:32:36.8222482Z                     auto tmp6 = 1 / tmp5;
2022-11-23T01:32:36.8222820Z                     auto tmp7 = tmp6 / tmp1;
2022-11-23T01:32:36.8223128Z                     in_out_ptr1[0] = tmp7;
2022-11-23T01:32:36.8223438Z                 }
2022-11-23T01:32:36.8223721Z             }
2022-11-23T01:32:36.8223971Z         }
2022-11-23T01:32:36.8224224Z     }
2022-11-23T01:32:36.8224545Z }
2022-11-23T01:32:36.8224819Z ''')
2022-11-23T01:32:36.8224977Z 
2022-11-23T01:32:36.8224984Z 
2022-11-23T01:32:36.8225151Z async_compile.wait(globals())
2022-11-23T01:32:36.8225468Z del async_compile
2022-11-23T01:32:36.8225662Z 
2022-11-23T01:32:36.8225759Z def call(args):
2022-11-23T01:32:36.8226135Z     primals_1, primals_2, primals_3, primals_4, primals_5 = args
2022-11-23T01:32:36.8226515Z     args.clear()
2022-11-23T01:32:36.8227019Z     buf0 = empty_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8227529Z     aten.mm.out(as_strided(primals_5, (1, 10), (10, 1)), as_strided(primals_1, (10, 10), (1, 10)), out=buf0)
2022-11-23T01:32:36.8227953Z     del primals_1
2022-11-23T01:32:36.8228455Z     buf1 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8229006Z     buf2 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8229593Z     buf3 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8230035Z     buf4 = as_strided(buf0, (10, ), (1, )); del buf0  # reuse
2022-11-23T01:32:36.8230593Z     buf5 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8231188Z     buf6 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:36.8231590Z     buf7 = buf2; del buf2  # reuse
2022-11-23T01:32:36.8232359Z     kernel_cpp_0(c_void_p(buf4.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(primals_4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()))
2022-11-23T01:32:36.8233187Z     del buf1
2022-11-23T01:32:36.8233433Z     del buf3
2022-11-23T01:32:36.8233679Z     del primals_2
2022-11-23T01:32:36.8233931Z     del primals_4
2022-11-23T01:32:36.8234257Z     return (buf5, primals_3, as_strided(primals_5, (1, 10), (10, 1)), buf4, buf6, buf7, )
2022-11-23T01:32:36.8234524Z 
2022-11-23T01:32:36.8234533Z 
2022-11-23T01:32:36.8234670Z if __name__ == "__main__":
2022-11-23T01:32:36.8235037Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.8235505Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.8236092Z     primals_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8236654Z     primals_2 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8237289Z     primals_3 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8237860Z     primals_4 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8238618Z     primals_5 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8239184Z     print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5]))
2022-11-23T01:32:36.8239517Z 
2022-11-23T01:32:36.8239628Z ok (3.375s)
2022-11-23T01:32:36.8240423Z   test_masked_fill_softmax (__main__.CPUReproTests) ... [2022-11-23 01:13:35,379] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:36.8241308Z [2022-11-23 01:13:35,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4853
2022-11-23T01:32:36.8242039Z [2022-11-23 01:13:35,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask []
2022-11-23T01:32:36.8242769Z [2022-11-23 01:13:35,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()]
2022-11-23T01:32:36.8243572Z [2022-11-23 01:13:35,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [GetAttrVariable(TensorVariable(), to)]
2022-11-23T01:32:36.8244609Z [2022-11-23 01:13:35,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [GetAttrVariable(TensorVariable(), to), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:36.8245628Z [2022-11-23 01:13:35,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), ConstantVariable(dtype)]
2022-11-23T01:32:36.8246426Z [2022-11-23 01:13:35,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mask [TensorVariable()]
2022-11-23T01:32:36.8247173Z [2022-11-23 01:13:35,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4854
2022-11-23T01:32:36.8247854Z [2022-11-23 01:13:35,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:36.8248756Z [2022-11-23 01:13:35,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:36.8249765Z [2022-11-23 01:13:35,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable(<built-in method masked_fill of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:36.8250770Z [2022-11-23 01:13:35,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(<built-in method masked_fill of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:36.8251869Z [2022-11-23 01:13:35,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -33.0 [TorchVariable(<built-in method masked_fill of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.8253039Z [2022-11-23 01:13:35,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method masked_fill of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:36.8253949Z [2022-11-23 01:13:35,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:36.8254729Z [2022-11-23 01:13:35,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4855
2022-11-23T01:32:36.8255449Z [2022-11-23 01:13:35,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:36.8256385Z [2022-11-23 01:13:35,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:36.8257362Z [2022-11-23 01:13:35,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method softmax of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:36.8258344Z [2022-11-23 01:13:35,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method softmax of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:36.8259366Z [2022-11-23 01:13:35,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method softmax of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:36.8260332Z [2022-11-23 01:13:35,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:36.8261060Z [2022-11-23 01:13:35,407] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:36.8261850Z [2022-11-23 01:13:35,409] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:36.8262594Z [2022-11-23 01:13:35,424] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:36.8263224Z [2022-11-23 01:13:35,425] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:36.8263689Z  __compiled_fn_1 <eval_with_key>.18 opcode, name, target, args, kwargs
2022-11-23T01:32:36.8264088Z placeholder, value, value, (), {}
2022-11-23T01:32:36.8264424Z placeholder, mask, mask, (), {}
2022-11-23T01:32:36.8264877Z call_method, to, to, (mask, torch.bool), {}
2022-11-23T01:32:36.8265554Z call_function, masked_fill, <built-in method masked_fill of type object at 0x7f71f2abebc0>, (value, to, -33.0), {}
2022-11-23T01:32:36.8266276Z call_function, softmax, <built-in method softmax of type object at 0x7f71f2abebc0>, (masked_fill, -1), {}
2022-11-23T01:32:36.8266781Z output, output, output, ((softmax,),), {}
2022-11-23T01:32:36.8267006Z 
2022-11-23T01:32:36.8267518Z [2022-11-23 01:13:35,425] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 4852 
2022-11-23T01:32:36.8268010Z 4853           0 LOAD_FAST                1 (mask)
2022-11-23T01:32:36.8268363Z                2 LOAD_METHOD              0 (to)
2022-11-23T01:32:36.8268704Z                4 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:36.8269043Z                6 LOAD_ATTR                2 (bool)
2022-11-23T01:32:36.8269356Z                8 CALL_METHOD              1
2022-11-23T01:32:36.8269695Z               10 STORE_FAST               1 (mask)
2022-11-23T01:32:36.8269890Z 
2022-11-23T01:32:36.8270043Z 4854          12 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:36.8270400Z               14 LOAD_METHOD              3 (masked_fill)
2022-11-23T01:32:36.8270725Z               16 LOAD_FAST                0 (value)
2022-11-23T01:32:36.8271077Z               18 LOAD_FAST                1 (mask)
2022-11-23T01:32:36.8271488Z               20 LOAD_CONST               1 (-33.0)
2022-11-23T01:32:36.8271808Z               22 CALL_METHOD              3
2022-11-23T01:32:36.8272145Z               24 STORE_FAST               2 (x)
2022-11-23T01:32:36.8272346Z 
2022-11-23T01:32:36.8272489Z 4855          26 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:36.8272834Z               28 LOAD_METHOD              4 (softmax)
2022-11-23T01:32:36.8273149Z               30 LOAD_FAST                2 (x)
2022-11-23T01:32:36.8273565Z               32 LOAD_CONST               2 (-1)
2022-11-23T01:32:36.8273899Z               34 CALL_METHOD              2
2022-11-23T01:32:36.8274207Z               36 RETURN_VALUE
2022-11-23T01:32:36.8274396Z 
2022-11-23T01:32:36.8274494Z  
2022-11-23T01:32:36.8275099Z [2022-11-23 01:13:35,426] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 4852 
2022-11-23T01:32:36.8275574Z 4852           0 LOAD_GLOBAL              5 (__compiled_fn_1)
2022-11-23T01:32:36.8275934Z                2 LOAD_FAST                0 (value)
2022-11-23T01:32:36.8276269Z                4 LOAD_FAST                1 (mask)
2022-11-23T01:32:36.8276596Z                6 CALL_FUNCTION            2
2022-11-23T01:32:36.8276919Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:36.8277357Z               10 RETURN_VALUE
2022-11-23T01:32:36.8277540Z 
2022-11-23T01:32:36.8277634Z  
2022-11-23T01:32:36.8278059Z [2022-11-23 01:13:35,427] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:36.8278413Z  - 
2022-11-23T01:32:36.8278889Z             local 'mask' TENSOR_MATCH
2022-11-23T01:32:36.8279174Z             {
2022-11-23T01:32:36.8279569Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.8279959Z                 'code': None,
2022-11-23T01:32:36.8280455Z                 'obj_weakref': <weakref at 0x7f7129e81ef0; to 'Tensor' at 0x7f712a3f3b30>
2022-11-23T01:32:36.8281111Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.8281577Z             }
2022-11-23T01:32:36.8281851Z             
2022-11-23T01:32:36.8282107Z  - 
2022-11-23T01:32:36.8282457Z             local 'value' TENSOR_MATCH
2022-11-23T01:32:36.8282756Z             {
2022-11-23T01:32:36.8283127Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.8283501Z                 'code': None,
2022-11-23T01:32:36.8284007Z                 'obj_weakref': <weakref at 0x7f7129e815f0; to 'Tensor' at 0x7f7193234c50>
2022-11-23T01:32:36.8284653Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.8285048Z             }
2022-11-23T01:32:36.8285306Z             
2022-11-23T01:32:36.8285548Z  - 
2022-11-23T01:32:36.8285895Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:36.8286190Z             {
2022-11-23T01:32:36.8286510Z                 'guard_types': None,
2022-11-23T01:32:36.8286863Z                 'code': None,
2022-11-23T01:32:36.8287232Z                 'obj_weakref': None
2022-11-23T01:32:36.8287591Z                 'guarded_class': None
2022-11-23T01:32:36.8287872Z             }
2022-11-23T01:32:36.8288115Z             
2022-11-23T01:32:36.8288405Z  - 
2022-11-23T01:32:36.8288799Z             global 'torch.bool' CONSTANT_MATCH
2022-11-23T01:32:36.8289107Z             {
2022-11-23T01:32:36.8289467Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:36.8289940Z                 'code': ["str(torch.bool) == 'torch.bool'"],
2022-11-23T01:32:36.8290362Z                 'obj_weakref': None
2022-11-23T01:32:36.8290920Z                 'guarded_class': <weakref at 0x7f71931398f0; to 'type' at 0x7f71f278dc60 (dtype)>
2022-11-23T01:32:36.8291269Z             }
2022-11-23T01:32:36.8291522Z             
2022-11-23T01:32:36.8292082Z [2022-11-23 01:13:35,458] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1
2022-11-23T01:32:36.8292990Z [2022-11-23 01:13:38,129] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uz/cuz7ybawpdxqrzzqqpu5we7437ogdrpwxtz65ks3plma45x3hgjk.py
2022-11-23T01:32:36.8293873Z [2022-11-23 01:13:38,130] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1
2022-11-23T01:32:36.8294203Z 
2022-11-23T01:32:36.8294362Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.8294695Z import torch
2022-11-23T01:32:36.8294959Z import random
2022-11-23T01:32:36.8295318Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.8295731Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.8295981Z 
2022-11-23T01:32:36.8296093Z aten = torch.ops.aten
2022-11-23T01:32:36.8296501Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.8296910Z async_compile = AsyncCompile()
2022-11-23T01:32:36.8297118Z 
2022-11-23T01:32:36.8297124Z 
2022-11-23T01:32:36.8297330Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.8297855Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.8298407Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:36.8298813Z                        const unsigned char* __restrict__ in_ptr0,
2022-11-23T01:32:36.8299201Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:36.8299564Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:36.8299939Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:36.8300225Z {
2022-11-23T01:32:36.8300508Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:32:36.8300947Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.8301244Z     {
2022-11-23T01:32:36.8301516Z         #pragma omp for 
2022-11-23T01:32:36.8301832Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:36.8302090Z         {
2022-11-23T01:32:36.8302333Z             {
2022-11-23T01:32:36.8303192Z                 #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2022-11-23T01:32:36.8304009Z                 float tmp5 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:36.8304524Z                 auto tmp5_vec = at::vec::Vectorized<float>(tmp5);
2022-11-23T01:32:36.8304899Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:36.8305178Z                 {
2022-11-23T01:32:36.8305480Z                     float g_tmp_buffer_in_ptr0[16] = {0};
2022-11-23T01:32:36.8305912Z                     flag_to_float(in_ptr0 + (16*i1) + (17*i0), g_tmp_buffer_in_ptr0, 16);
2022-11-23T01:32:36.8306384Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(g_tmp_buffer_in_ptr0);
2022-11-23T01:32:36.8306856Z                     auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + (16*i1) + (17*i0));
2022-11-23T01:32:36.8307211Z                     auto tmp1 = (tmp0);
2022-11-23T01:32:36.8307739Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(-33.0));
2022-11-23T01:32:36.8308188Z                     auto tmp4 = decltype(tmp2)::blendv(tmp3, tmp2, tmp1);
2022-11-23T01:32:36.8308579Z                     tmp5_vec = at::vec::maximum(tmp5_vec, tmp4);
2022-11-23T01:32:36.8308933Z                 }
2022-11-23T01:32:36.8309419Z                 tmp5 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp5_vec);
2022-11-23T01:32:36.8309953Z                 #pragma omp simd simdlen(8)  reduction(max:tmp5)
2022-11-23T01:32:36.8310308Z                 for(long i1=16; i1<17; i1+=1)
2022-11-23T01:32:36.8310589Z                 {
2022-11-23T01:32:36.8310887Z                     auto tmp0 = in_ptr0[i1 + (17*i0)];
2022-11-23T01:32:36.8311226Z                     auto tmp3 = in_ptr1[i1 + (17*i0)];
2022-11-23T01:32:36.8311580Z                     auto tmp1 = static_cast<bool>(tmp0);
2022-11-23T01:32:36.8312036Z                     auto tmp2 = static_cast<float>(-33.0);
2022-11-23T01:32:36.8312391Z                     auto tmp4 = tmp1 ? tmp2 : tmp3;
2022-11-23T01:32:36.8312723Z                     tmp5 = std::max(tmp5, tmp4);
2022-11-23T01:32:36.8313012Z                 }
2022-11-23T01:32:36.8313287Z                 out_ptr0[i0] = tmp5;
2022-11-23T01:32:36.8313547Z             }
2022-11-23T01:32:36.8313786Z         }
2022-11-23T01:32:36.8314048Z         #pragma omp for 
2022-11-23T01:32:36.8314326Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:36.8314594Z         {
2022-11-23T01:32:36.8314833Z             {
2022-11-23T01:32:36.8315252Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:36.8315728Z                 float tmp8 = 0;
2022-11-23T01:32:36.8316114Z                 auto tmp8_vec = at::vec::Vectorized<float>(tmp8);
2022-11-23T01:32:36.8316457Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:36.8316727Z                 {
2022-11-23T01:32:36.8317047Z                     float g_tmp_buffer_in_ptr0[16] = {0};
2022-11-23T01:32:36.8317562Z                     flag_to_float(in_ptr0 + (16*i1) + (17*i0), g_tmp_buffer_in_ptr0, 16);
2022-11-23T01:32:36.8318060Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(g_tmp_buffer_in_ptr0);
2022-11-23T01:32:36.8318553Z                     auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + (16*i1) + (17*i0));
2022-11-23T01:32:36.8319047Z                     auto tmp5 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T01:32:36.8319438Z                     auto tmp1 = (tmp0);
2022-11-23T01:32:36.8320152Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(-33.0));
2022-11-23T01:32:36.8320576Z                     auto tmp4 = decltype(tmp2)::blendv(tmp3, tmp2, tmp1);
2022-11-23T01:32:36.8321066Z                     auto tmp6 = tmp4 - tmp5;
2022-11-23T01:32:36.8321404Z                     auto tmp7 = tmp6.exp();
2022-11-23T01:32:36.8321791Z                     tmp7.store(out_ptr1 + (16*i1) + (17*i0));
2022-11-23T01:32:36.8322156Z                     tmp8_vec += tmp7;
2022-11-23T01:32:36.8322515Z                 }
2022-11-23T01:32:36.8323023Z                 tmp8 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp8_vec);
2022-11-23T01:32:36.8323575Z                 #pragma omp simd simdlen(8)  reduction(+:tmp8)
2022-11-23T01:32:36.8323900Z                 for(long i1=16; i1<17; i1+=1)
2022-11-23T01:32:36.8324174Z                 {
2022-11-23T01:32:36.8324471Z                     auto tmp0 = in_ptr0[i1 + (17*i0)];
2022-11-23T01:32:36.8324757Z                     auto tmp3 = in_ptr1[i1 + (17*i0)];
2022-11-23T01:32:36.8325007Z                     auto tmp5 = out_ptr0[i0];
2022-11-23T01:32:36.8325374Z                     auto tmp1 = static_cast<bool>(tmp0);
2022-11-23T01:32:36.8325876Z                     auto tmp2 = static_cast<float>(-33.0);
2022-11-23T01:32:36.8326227Z                     auto tmp4 = tmp1 ? tmp2 : tmp3;
2022-11-23T01:32:36.8326659Z                     auto tmp6 = tmp4 - tmp5;
2022-11-23T01:32:36.8327008Z                     auto tmp7 = std::exp(tmp6);
2022-11-23T01:32:36.8327342Z                     out_ptr1[i1 + (17*i0)] = tmp7;
2022-11-23T01:32:36.8327666Z                     tmp8 += tmp7;
2022-11-23T01:32:36.8327951Z                 }
2022-11-23T01:32:36.8328229Z                 out_ptr2[i0] = tmp8;
2022-11-23T01:32:36.8328524Z             }
2022-11-23T01:32:36.8328773Z         }
2022-11-23T01:32:36.8329030Z         #pragma omp for 
2022-11-23T01:32:36.8329322Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:36.8329604Z         {
2022-11-23T01:32:36.8329869Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:36.8330175Z             {
2022-11-23T01:32:36.8330588Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + (16*i1) + (17*i0));
2022-11-23T01:32:36.8331049Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr2[i0]);
2022-11-23T01:32:36.8331433Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:36.8331797Z                 tmp2.store(in_out_ptr0 + (16*i1) + (17*i0));
2022-11-23T01:32:36.8332113Z             }
2022-11-23T01:32:36.8332386Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:36.8332721Z             for(long i1=16; i1<17; i1+=1)
2022-11-23T01:32:36.8333014Z             {
2022-11-23T01:32:36.8333310Z                 auto tmp0 = out_ptr1[i1 + (17*i0)];
2022-11-23T01:32:36.8333655Z                 auto tmp1 = out_ptr2[i0];
2022-11-23T01:32:36.8333993Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:36.8334326Z                 in_out_ptr0[i1 + (17*i0)] = tmp2;
2022-11-23T01:32:36.8334640Z             }
2022-11-23T01:32:36.8334894Z         }
2022-11-23T01:32:36.8335168Z     }
2022-11-23T01:32:36.8335416Z }
2022-11-23T01:32:36.8335710Z ''')
2022-11-23T01:32:36.8335872Z 
2022-11-23T01:32:36.8335879Z 
2022-11-23T01:32:36.8336028Z async_compile.wait(globals())
2022-11-23T01:32:36.8336339Z del async_compile
2022-11-23T01:32:36.8336517Z 
2022-11-23T01:32:36.8336633Z def call(args):
2022-11-23T01:32:36.8336920Z     arg0_1, arg1_1 = args
2022-11-23T01:32:36.8337193Z     args.clear()
2022-11-23T01:32:36.8337695Z     buf0 = empty_strided((2, 1), (1, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8338262Z     buf1 = empty_strided((2, 17), (17, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8338819Z     buf2 = empty_strided((2, 1), (1, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8339205Z     buf3 = buf1; del buf1  # reuse
2022-11-23T01:32:36.8339727Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:36.8340318Z     del arg0_1
2022-11-23T01:32:36.8340591Z     del arg1_1
2022-11-23T01:32:36.8340864Z     return (buf3, )
2022-11-23T01:32:36.8341039Z 
2022-11-23T01:32:36.8341046Z 
2022-11-23T01:32:36.8341170Z if __name__ == "__main__":
2022-11-23T01:32:36.8341501Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.8342012Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.8342607Z     arg0_1 = rand_strided((2, 17), (17, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8343182Z     arg1_1 = rand_strided((2, 17), (17, 1), device='cpu', dtype=torch.uint8)
2022-11-23T01:32:36.8343633Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:36.8343870Z 
2022-11-23T01:32:36.8343972Z ok (2.764s)
2022-11-23T01:32:36.8344721Z   test_no_op_squeeze (__main__.CPUReproTests) ... [2022-11-23 01:13:38,139] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing forward
2022-11-23T01:32:36.8345576Z [2022-11-23 01:13:38,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4726
2022-11-23T01:32:36.8346281Z [2022-11-23 01:13:38,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:36.8347192Z [2022-11-23 01:13:38,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:36.8348094Z [2022-11-23 01:13:38,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:36.8348974Z [2022-11-23 01:13:38,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:36.8349785Z [2022-11-23 01:13:38,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dim [TorchVariable(aten.squeeze)]
2022-11-23T01:32:36.8350583Z [2022-11-23 01:13:38,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg0_1 [TorchVariable(aten.squeeze.dim)]
2022-11-23T01:32:36.8351404Z [2022-11-23 01:13:38,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.squeeze.dim), TensorVariable()]
2022-11-23T01:32:36.8352334Z [2022-11-23 01:13:38,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.squeeze.dim), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:36.8353165Z [2022-11-23 01:13:38,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:36.8353886Z [2022-11-23 01:13:38,154] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing forward
2022-11-23T01:32:36.8354591Z [2022-11-23 01:13:38,156] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:36.8355291Z [2022-11-23 01:13:38,160] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:36.8355929Z [2022-11-23 01:13:38,160] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:36.8356380Z  __compiled_fn_2 <eval_with_key>.24 opcode, name, target, args, kwargs
2022-11-23T01:32:36.8356776Z placeholder, arg0_1, arg0_1, (), {}
2022-11-23T01:32:36.8357276Z call_function, squeeze_dim, aten.squeeze.dim, (arg0_1, 1), {}
2022-11-23T01:32:36.8357693Z output, output, output, ((squeeze_dim,),), {}
2022-11-23T01:32:36.8357921Z 
2022-11-23T01:32:36.8358428Z [2022-11-23 01:13:38,161] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE forward inductor/test_torchinductor.py line 4724 
2022-11-23T01:32:36.8358935Z 4726           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:36.8359291Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:36.8359650Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:36.8359986Z                6 LOAD_ATTR                3 (squeeze)
2022-11-23T01:32:36.8360336Z                8 LOAD_METHOD              4 (dim)
2022-11-23T01:32:36.8360820Z               10 LOAD_FAST                0 (arg0_1)
2022-11-23T01:32:36.8361152Z               12 LOAD_CONST               1 (1)
2022-11-23T01:32:36.8361503Z               14 CALL_METHOD              2
2022-11-23T01:32:36.8361824Z               16 RETURN_VALUE
2022-11-23T01:32:36.8362023Z 
2022-11-23T01:32:36.8362132Z  
2022-11-23T01:32:36.8362871Z [2022-11-23 01:13:38,161] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE forward inductor/test_torchinductor.py line 4724 
2022-11-23T01:32:36.8363416Z 4724           0 LOAD_GLOBAL              5 (__compiled_fn_2)
2022-11-23T01:32:36.8363798Z                2 LOAD_FAST                0 (arg0_1)
2022-11-23T01:32:36.8364127Z                4 CALL_FUNCTION            1
2022-11-23T01:32:36.8364477Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:36.8364828Z                8 RETURN_VALUE
2022-11-23T01:32:36.8365025Z 
2022-11-23T01:32:36.8365111Z  
2022-11-23T01:32:36.8365587Z [2022-11-23 01:13:38,161] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:36.8365972Z  - 
2022-11-23T01:32:36.8366332Z             local 'arg0_1' TENSOR_MATCH
2022-11-23T01:32:36.8366619Z             {
2022-11-23T01:32:36.8367027Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.8367444Z                 'code': None,
2022-11-23T01:32:36.8367977Z                 'obj_weakref': <weakref at 0x7f7129e81410; to 'Tensor' at 0x7f7129ea6d10>
2022-11-23T01:32:36.8368723Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.8369147Z             }
2022-11-23T01:32:36.8369423Z             
2022-11-23T01:32:36.8369705Z  - 
2022-11-23T01:32:36.8370098Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:36.8370421Z             {
2022-11-23T01:32:36.8370808Z                 'guard_types': None,
2022-11-23T01:32:36.8371211Z                 'code': None,
2022-11-23T01:32:36.8371576Z                 'obj_weakref': None
2022-11-23T01:32:36.8372007Z                 'guarded_class': None
2022-11-23T01:32:36.8372322Z             }
2022-11-23T01:32:36.8372588Z             
2022-11-23T01:32:36.8373225Z [2022-11-23 01:13:38,169] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 2
2022-11-23T01:32:36.8374267Z [2022-11-23 01:13:38,171] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ne/cnelpdaegliu6grtlzcahofdy5sb7fqkjnnenj7zpj6rfe5f4em5.py
2022-11-23T01:32:36.8375249Z [2022-11-23 01:13:38,171] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 2
2022-11-23T01:32:36.8375606Z 
2022-11-23T01:32:36.8375762Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.8376113Z import torch
2022-11-23T01:32:36.8376425Z import random
2022-11-23T01:32:36.8376788Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.8377282Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.8377554Z 
2022-11-23T01:32:36.8377696Z aten = torch.ops.aten
2022-11-23T01:32:36.8378132Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.8378548Z async_compile = AsyncCompile()
2022-11-23T01:32:36.8378777Z 
2022-11-23T01:32:36.8378784Z 
2022-11-23T01:32:36.8378934Z async_compile.wait(globals())
2022-11-23T01:32:36.8379268Z del async_compile
2022-11-23T01:32:36.8379456Z 
2022-11-23T01:32:36.8379568Z def call(args):
2022-11-23T01:32:36.8379868Z     arg0_1, = args
2022-11-23T01:32:36.8380157Z     args.clear()
2022-11-23T01:32:36.8380450Z     return (arg0_1, )
2022-11-23T01:32:36.8380644Z 
2022-11-23T01:32:36.8380650Z 
2022-11-23T01:32:36.8380778Z if __name__ == "__main__":
2022-11-23T01:32:36.8381168Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.8381622Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.8382237Z     arg0_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8382676Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:36.8383012Z 
2022-11-23T01:32:36.8383125Z ok (0.039s)
2022-11-23T01:32:36.8383801Z   test_parallel_num_threads (__main__.CPUReproTests) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2022-11-23T01:32:36.8384882Z [2022-11-23 01:13:38,177] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:36.8385727Z [2022-11-23 01:13:38,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4734
2022-11-23T01:32:36.8386433Z [2022-11-23 01:13:38,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x1 []
2022-11-23T01:32:36.8387070Z [2022-11-23 01:13:38,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x2 [TensorVariable()]
2022-11-23T01:32:36.8387852Z [2022-11-23 01:13:38,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.8388590Z [2022-11-23 01:13:38,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:36.8389267Z [2022-11-23 01:13:38,180] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:36.8389940Z [2022-11-23 01:13:38,181] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:36.8390650Z [2022-11-23 01:13:38,185] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:36.8391263Z [2022-11-23 01:13:38,185] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:36.8391719Z  __compiled_fn_3 <eval_with_key>.30 opcode, name, target, args, kwargs
2022-11-23T01:32:36.8392092Z placeholder, x1, x1, (), {}
2022-11-23T01:32:36.8392425Z placeholder, x2, x2, (), {}
2022-11-23T01:32:36.8392907Z call_function, add, <built-in function add>, (x1, x2), {}
2022-11-23T01:32:36.8393272Z output, output, output, ((add,),), {}
2022-11-23T01:32:36.8393490Z 
2022-11-23T01:32:36.8393977Z [2022-11-23 01:13:38,185] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 4732 
2022-11-23T01:32:36.8394452Z 4734           0 LOAD_FAST                0 (x1)
2022-11-23T01:32:36.8394822Z                2 LOAD_FAST                1 (x2)
2022-11-23T01:32:36.8395163Z                4 BINARY_ADD
2022-11-23T01:32:36.8395453Z                6 RETURN_VALUE
2022-11-23T01:32:36.8395631Z 
2022-11-23T01:32:36.8395729Z  
2022-11-23T01:32:36.8396310Z [2022-11-23 01:13:38,186] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 4732 
2022-11-23T01:32:36.8396807Z 4732           0 LOAD_GLOBAL              0 (__compiled_fn_3)
2022-11-23T01:32:36.8397268Z                2 LOAD_FAST                0 (x1)
2022-11-23T01:32:36.8397588Z                4 LOAD_FAST                1 (x2)
2022-11-23T01:32:36.8397921Z                6 CALL_FUNCTION            2
2022-11-23T01:32:36.8398267Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:36.8398584Z               10 RETURN_VALUE
2022-11-23T01:32:36.8398755Z 
2022-11-23T01:32:36.8398859Z  
2022-11-23T01:32:36.8399307Z [2022-11-23 01:13:38,186] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:36.8399650Z  - 
2022-11-23T01:32:36.8399971Z             local 'x1' TENSOR_MATCH
2022-11-23T01:32:36.8400264Z             {
2022-11-23T01:32:36.8400640Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.8401024Z                 'code': None,
2022-11-23T01:32:36.8401532Z                 'obj_weakref': <weakref at 0x7f7129e42d10; to 'Tensor' at 0x7f7129ea65f0>
2022-11-23T01:32:36.8402202Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.8402610Z             }
2022-11-23T01:32:36.8402852Z             
2022-11-23T01:32:36.8403096Z  - 
2022-11-23T01:32:36.8403424Z             local 'x2' TENSOR_MATCH
2022-11-23T01:32:36.8403695Z             {
2022-11-23T01:32:36.8404178Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.8404549Z                 'code': None,
2022-11-23T01:32:36.8405031Z                 'obj_weakref': <weakref at 0x7f7129e42770; to 'Tensor' at 0x7f7129e81890>
2022-11-23T01:32:36.8405668Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.8406062Z             }
2022-11-23T01:32:36.8406299Z             
2022-11-23T01:32:36.8406951Z [2022-11-23 01:13:38,193] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 3
2022-11-23T01:32:36.8407856Z [2022-11-23 01:13:40,740] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ck/cckf5pwr26g66wqjrp3qptjv57leg6oxue3npmc67jtdcrjmbaqe.py
2022-11-23T01:32:36.8408721Z [2022-11-23 01:13:40,741] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 3
2022-11-23T01:32:36.8409025Z 
2022-11-23T01:32:36.8409172Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.8409466Z import torch
2022-11-23T01:32:36.8409726Z import random
2022-11-23T01:32:36.8410060Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.8410463Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.8410718Z 
2022-11-23T01:32:36.8410844Z aten = torch.ops.aten
2022-11-23T01:32:36.8411214Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.8411604Z async_compile = AsyncCompile()
2022-11-23T01:32:36.8411811Z 
2022-11-23T01:32:36.8411817Z 
2022-11-23T01:32:36.8412040Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.8412564Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.8413083Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:36.8413466Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:36.8413824Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:36.8414100Z {
2022-11-23T01:32:36.8414386Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.8414683Z     {
2022-11-23T01:32:36.8414922Z         #pragma omp for 
2022-11-23T01:32:36.8415221Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:36.8415496Z         {
2022-11-23T01:32:36.8415878Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:36.8416323Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:36.8416712Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:36.8417026Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:36.8417301Z         }
2022-11-23T01:32:36.8417589Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:36.8417918Z         for(long i0=192; i0<200; i0+=1)
2022-11-23T01:32:36.8418188Z         {
2022-11-23T01:32:36.8418462Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:36.8418756Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:36.8419050Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:36.8419375Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:36.8419639Z         }
2022-11-23T01:32:36.8419864Z     }
2022-11-23T01:32:36.8420111Z }
2022-11-23T01:32:36.8420389Z ''')
2022-11-23T01:32:36.8420543Z 
2022-11-23T01:32:36.8420553Z 
2022-11-23T01:32:36.8420678Z async_compile.wait(globals())
2022-11-23T01:32:36.8420980Z del async_compile
2022-11-23T01:32:36.8421151Z 
2022-11-23T01:32:36.8421253Z def call(args):
2022-11-23T01:32:36.8421525Z     arg0_1, arg1_1 = args
2022-11-23T01:32:36.8421793Z     args.clear()
2022-11-23T01:32:36.8422277Z     buf0 = empty_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8422781Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:36.8423152Z     del arg0_1
2022-11-23T01:32:36.8423415Z     del arg1_1
2022-11-23T01:32:36.8423683Z     return (buf0, )
2022-11-23T01:32:36.8423842Z 
2022-11-23T01:32:36.8423867Z 
2022-11-23T01:32:36.8423970Z if __name__ == "__main__":
2022-11-23T01:32:36.8424413Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.8424918Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.8425504Z     arg0_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8426067Z     arg1_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8426511Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:36.8426805Z 
2022-11-23T01:32:36.8426912Z ok (2.572s)
2022-11-23T01:32:36.8427597Z   test_sign_cpu_only (__main__.CPUReproTests) ... [2022-11-23 01:13:40,757] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:32:36.8428610Z [2022-11-23 01:13:43,337] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/il/cildklmaavmsbywxliaw4dord5s4ucjgl7t7d7z4sp4y6f3joehx.py
2022-11-23T01:32:36.8429477Z [2022-11-23 01:13:43,337] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:32:36.8429795Z 
2022-11-23T01:32:36.8429955Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.8430248Z import torch
2022-11-23T01:32:36.8430530Z import random
2022-11-23T01:32:36.8430868Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.8431283Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.8431552Z 
2022-11-23T01:32:36.8431685Z aten = torch.ops.aten
2022-11-23T01:32:36.8432094Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.8432464Z async_compile = AsyncCompile()
2022-11-23T01:32:36.8432672Z 
2022-11-23T01:32:36.8432678Z 
2022-11-23T01:32:36.8432907Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.8433442Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.8433985Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:36.8434352Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:36.8434664Z {
2022-11-23T01:32:36.8434993Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.8435283Z     {
2022-11-23T01:32:36.8435548Z         #pragma omp for 
2022-11-23T01:32:36.8435840Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:36.8436129Z         {
2022-11-23T01:32:36.8436531Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:36.8437211Z             auto tmp1 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), decltype(tmp0)(0) < tmp0);
2022-11-23T01:32:36.8437810Z             auto tmp2 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), tmp0 < decltype(tmp0)(0));
2022-11-23T01:32:36.8438294Z             auto tmp3 = tmp1 - tmp2;
2022-11-23T01:32:36.8438640Z             tmp3.store(out_ptr0 + 16*i0);
2022-11-23T01:32:36.8438947Z         }
2022-11-23T01:32:36.8439243Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:36.8439615Z         for(long i0=16; i0<18; i0+=1)
2022-11-23T01:32:36.8439924Z         {
2022-11-23T01:32:36.8440212Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:36.8440548Z             auto tmp1 = tmp0 > 0 ? 1 : 0;
2022-11-23T01:32:36.8440905Z             auto tmp2 = tmp0 < 0 ? 1 : 0;
2022-11-23T01:32:36.8441286Z             auto tmp3 = tmp1 - tmp2;
2022-11-23T01:32:36.8441634Z             out_ptr0[i0] = tmp3;
2022-11-23T01:32:36.8441910Z         }
2022-11-23T01:32:36.8442159Z     }
2022-11-23T01:32:36.8442386Z }
2022-11-23T01:32:36.8442661Z ''')
2022-11-23T01:32:36.8442804Z 
2022-11-23T01:32:36.8442815Z 
2022-11-23T01:32:36.8442945Z async_compile.wait(globals())
2022-11-23T01:32:36.8443252Z del async_compile
2022-11-23T01:32:36.8443427Z 
2022-11-23T01:32:36.8443543Z def call(args):
2022-11-23T01:32:36.8443812Z     x_1, = args
2022-11-23T01:32:36.8444060Z     args.clear()
2022-11-23T01:32:36.8444567Z     buf0 = empty_strided((2, 9), (9, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8445028Z     kernel_cpp_0(c_void_p(x_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:36.8445483Z     del x_1
2022-11-23T01:32:36.8445744Z     return (buf0, )
2022-11-23T01:32:36.8445912Z 
2022-11-23T01:32:36.8445919Z 
2022-11-23T01:32:36.8446032Z if __name__ == "__main__":
2022-11-23T01:32:36.8446389Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.8446801Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.8447371Z     x_1 = rand_strided((2, 9), (9, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8447874Z     print_performance(lambda: call([x_1]))
2022-11-23T01:32:36.8448121Z 
2022-11-23T01:32:36.8448208Z ok (2.595s)
2022-11-23T01:32:36.8448566Z   test_timed_cpu_only (__main__.CPUReproTests) ... ok (0.006s)
2022-11-23T01:32:36.8449391Z   test_vec_dynamic_shapes (__main__.CPUReproTests) ... [2022-11-23 01:13:43,373] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:36.8450255Z [2022-11-23 01:13:43,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4783
2022-11-23T01:32:36.8450952Z [2022-11-23 01:13:43,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:36.8451891Z [2022-11-23 01:13:43,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:36.8452908Z [2022-11-23 01:13:43,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method softmax of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:36.8453902Z [2022-11-23 01:13:43,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method softmax of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:36.8455004Z [2022-11-23 01:13:43,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method softmax of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:36.8455911Z [2022-11-23 01:13:43,453] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:36.8456619Z [2022-11-23 01:13:43,453] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:36.8457341Z [2022-11-23 01:13:43,454] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:36.8458044Z [2022-11-23 01:13:43,464] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:36.8458663Z [2022-11-23 01:13:43,465] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:36.8459159Z  __compiled_fn_4 <eval_with_key>.37 opcode, name, target, args, kwargs
2022-11-23T01:32:36.8459535Z placeholder, x, x, (), {}
2022-11-23T01:32:36.8460120Z call_function, softmax, <built-in method softmax of type object at 0x7f71f2abebc0>, (x, -1), {}
2022-11-23T01:32:36.8460586Z output, output, output, ((softmax,),), {}
2022-11-23T01:32:36.8460806Z 
2022-11-23T01:32:36.8461273Z [2022-11-23 01:13:43,465] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 4782 
2022-11-23T01:32:36.8461765Z 4783           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:36.8462117Z                2 LOAD_METHOD              1 (softmax)
2022-11-23T01:32:36.8462475Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:36.8462896Z                6 LOAD_CONST               1 (-1)
2022-11-23T01:32:36.8463200Z                8 CALL_METHOD              2
2022-11-23T01:32:36.8463506Z               10 RETURN_VALUE
2022-11-23T01:32:36.8463700Z 
2022-11-23T01:32:36.8463806Z  
2022-11-23T01:32:36.8464383Z [2022-11-23 01:13:43,465] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 4782 
2022-11-23T01:32:36.8464954Z 4782           0 LOAD_GLOBAL              2 (__compiled_fn_4)
2022-11-23T01:32:36.8465329Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:36.8465688Z                4 CALL_FUNCTION            1
2022-11-23T01:32:36.8466101Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:36.8466428Z                8 RETURN_VALUE
2022-11-23T01:32:36.8466611Z 
2022-11-23T01:32:36.8466709Z  
2022-11-23T01:32:36.8467134Z [2022-11-23 01:13:43,467] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:36.8467485Z  - 
2022-11-23T01:32:36.8467886Z              'symbolic_shape_expression' SYMBOL_MATCH
2022-11-23T01:32:36.8468190Z             {
2022-11-23T01:32:36.8468606Z                 'guard_types': None,
2022-11-23T01:32:36.8469089Z                 'code': (Eq(x.size()[1], 10) and x.size()[1] == x.stride()[0]),
2022-11-23T01:32:36.8469506Z                 'obj_weakref': None
2022-11-23T01:32:36.8469870Z                 'guarded_class': None
2022-11-23T01:32:36.8470170Z             }
2022-11-23T01:32:36.8470432Z             
2022-11-23T01:32:36.8470682Z  - 
2022-11-23T01:32:36.8471035Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:36.8471340Z             {
2022-11-23T01:32:36.8471717Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.8472097Z                 'code': None,
2022-11-23T01:32:36.8472602Z                 'obj_weakref': <weakref at 0x7f7112c67dd0; to 'Tensor' at 0x7f7124173f50>
2022-11-23T01:32:36.8473264Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.8473681Z             }
2022-11-23T01:32:36.8473935Z             
2022-11-23T01:32:36.8474176Z  - 
2022-11-23T01:32:36.8474571Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:36.8474878Z             {
2022-11-23T01:32:36.8475216Z                 'guard_types': None,
2022-11-23T01:32:36.8475574Z                 'code': None,
2022-11-23T01:32:36.8475921Z                 'obj_weakref': None
2022-11-23T01:32:36.8476284Z                 'guarded_class': None
2022-11-23T01:32:36.8476557Z             }
2022-11-23T01:32:36.8476811Z             
2022-11-23T01:32:36.8477464Z [2022-11-23 01:13:43,547] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 4
2022-11-23T01:32:36.8478325Z [2022-11-23 01:13:46,119] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6a/c6avvcuofqelbnzcu5oiw3cvohqlen7o754o73zvp4yjhs5apow4.py
2022-11-23T01:32:36.8479239Z [2022-11-23 01:13:46,120] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 4
2022-11-23T01:32:36.8479550Z 
2022-11-23T01:32:36.8479716Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.8480024Z import torch
2022-11-23T01:32:36.8480274Z import random
2022-11-23T01:32:36.8480601Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.8481029Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.8481254Z 
2022-11-23T01:32:36.8481374Z aten = torch.ops.aten
2022-11-23T01:32:36.8481757Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.8482140Z async_compile = AsyncCompile()
2022-11-23T01:32:36.8482344Z 
2022-11-23T01:32:36.8482357Z 
2022-11-23T01:32:36.8482566Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.8483085Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.8483629Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:36.8484038Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:36.8484385Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:36.8484737Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:36.8485075Z                        const long ks0,
2022-11-23T01:32:36.8485370Z                        const long ks1)
2022-11-23T01:32:36.8485646Z {
2022-11-23T01:32:36.8485909Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:32:36.8486240Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.8486539Z     {
2022-11-23T01:32:36.8486820Z         #pragma omp for 
2022-11-23T01:32:36.8487107Z         for(long i0=0; i0<ks0; i0+=1)
2022-11-23T01:32:36.8487388Z         {
2022-11-23T01:32:36.8487753Z             {
2022-11-23T01:32:36.8487985Z                 {
2022-11-23T01:32:36.8488538Z                     float tmp1 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:36.8488911Z                     for(long i1=0; i1<ks1; i1+=1)
2022-11-23T01:32:36.8489183Z                     {
2022-11-23T01:32:36.8489452Z                         {
2022-11-23T01:32:36.8489788Z                             auto tmp0 = in_ptr0[i1 + (i0*ks1)];
2022-11-23T01:32:36.8490266Z                             tmp1 = std::max(tmp1, tmp0);
2022-11-23T01:32:36.8490580Z                         }
2022-11-23T01:32:36.8490831Z                     }
2022-11-23T01:32:36.8491124Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:32:36.8491403Z                 }
2022-11-23T01:32:36.8491668Z             }
2022-11-23T01:32:36.8491908Z         }
2022-11-23T01:32:36.8492148Z         #pragma omp for 
2022-11-23T01:32:36.8492450Z         for(long i0=0; i0<ks0; i0+=1)
2022-11-23T01:32:36.8492725Z         {
2022-11-23T01:32:36.8492949Z             {
2022-11-23T01:32:36.8493181Z                 {
2022-11-23T01:32:36.8493470Z                     float tmp4 = 0;
2022-11-23T01:32:36.8493778Z                     for(long i1=0; i1<ks1; i1+=1)
2022-11-23T01:32:36.8494075Z                     {
2022-11-23T01:32:36.8494327Z                         {
2022-11-23T01:32:36.8546324Z                             auto tmp0 = in_ptr0[i1 + (i0*ks1)];
2022-11-23T01:32:36.8546791Z                             auto tmp1 = out_ptr0[i0];
2022-11-23T01:32:36.8547309Z                             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:36.8547660Z                             auto tmp3 = std::exp(tmp2);
2022-11-23T01:32:36.8548028Z                             out_ptr1[i1 + (i0*ks1)] = tmp3;
2022-11-23T01:32:36.8548361Z                             tmp4 += tmp3;
2022-11-23T01:32:36.8548648Z                         }
2022-11-23T01:32:36.8548920Z                     }
2022-11-23T01:32:36.8549244Z                     out_ptr2[i0] = tmp4;
2022-11-23T01:32:36.8549569Z                 }
2022-11-23T01:32:36.8549816Z             }
2022-11-23T01:32:36.8550067Z         }
2022-11-23T01:32:36.8550360Z         #pragma omp for  collapse(2)
2022-11-23T01:32:36.8550666Z         for(long i0=0; i0<ks0; i0+=1)
2022-11-23T01:32:36.8550957Z         {
2022-11-23T01:32:36.8551234Z             for(long i1=0; i1<ks1; i1+=1)
2022-11-23T01:32:36.8551507Z             {
2022-11-23T01:32:36.8551770Z                 {
2022-11-23T01:32:36.8552035Z                     {
2022-11-23T01:32:36.8552341Z                         auto tmp0 = out_ptr1[i1 + (i0*ks1)];
2022-11-23T01:32:36.8552699Z                         auto tmp1 = out_ptr2[i0];
2022-11-23T01:32:36.8553046Z                         auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:36.8553381Z                         in_out_ptr0[i1 + (i0*ks1)] = tmp2;
2022-11-23T01:32:36.8553685Z                     }
2022-11-23T01:32:36.8553939Z                 }
2022-11-23T01:32:36.8554178Z             }
2022-11-23T01:32:36.8554424Z         }
2022-11-23T01:32:36.8554690Z     }
2022-11-23T01:32:36.8554918Z }
2022-11-23T01:32:36.8555182Z ''')
2022-11-23T01:32:36.8555346Z 
2022-11-23T01:32:36.8555352Z 
2022-11-23T01:32:36.8555492Z async_compile.wait(globals())
2022-11-23T01:32:36.8555785Z del async_compile
2022-11-23T01:32:36.8555963Z 
2022-11-23T01:32:36.8556077Z def call(args):
2022-11-23T01:32:36.8556347Z     arg0_1, = args
2022-11-23T01:32:36.8556624Z     args.clear()
2022-11-23T01:32:36.8556891Z     arg0_1_size = arg0_1.size()
2022-11-23T01:32:36.8557366Z     s0 = arg0_1_size[0]
2022-11-23T01:32:36.8557648Z     s1 = arg0_1_size[1]
2022-11-23T01:32:36.8558139Z     buf0 = empty_strided((s0, 1), (1, s0), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8558723Z     buf1 = empty_strided((s0, s1), (s1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8559333Z     buf2 = empty_strided((s0, 1), (1, s0), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8559710Z     buf3 = buf1; del buf1  # reuse
2022-11-23T01:32:36.8560219Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_long(s0), c_long(s1))
2022-11-23T01:32:36.8560841Z     del arg0_1
2022-11-23T01:32:36.8561112Z     return (buf3, )
2022-11-23T01:32:36.8561273Z 
2022-11-23T01:32:36.8561279Z 
2022-11-23T01:32:36.8561399Z if __name__ == "__main__":
2022-11-23T01:32:36.8561758Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.8562242Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.8562798Z     arg0_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8563226Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:36.8563456Z 
2022-11-23T01:32:36.8563558Z ok (2.777s)
2022-11-23T01:32:36.8564290Z   test_vec_kernel_cpu_only (__main__.CPUReproTests) ... [2022-11-23 01:13:46,224] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:32:36.8565281Z [2022-11-23 01:13:47,234] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uw/cuw7vgolkxprpcduvw5l2lygqogznmsj3hzobjgufnv7wfqimlur.py
2022-11-23T01:32:36.8566230Z [2022-11-23 01:13:47,234] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:32:36.8566965Z [2022-11-23 01:13:47,285] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:32:36.8567868Z [2022-11-23 01:13:49,991] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7y/c7yjr3dpadogmhwmdujmf42chbysu552zhh35eobj75njsebwfcq.py
2022-11-23T01:32:36.8568718Z [2022-11-23 01:13:49,991] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:32:36.8569511Z [2022-11-23 01:13:50,042] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:32:36.8569845Z 
2022-11-23T01:32:36.8569961Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.8570154Z import torch
2022-11-23T01:32:36.8570216Z import random
2022-11-23T01:32:36.8570330Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.8570451Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.8570456Z 
2022-11-23T01:32:36.8570536Z aten = torch.ops.aten
2022-11-23T01:32:36.8570746Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.8570884Z async_compile = AsyncCompile()
2022-11-23T01:32:36.8570892Z 
2022-11-23T01:32:36.8570898Z 
2022-11-23T01:32:36.8571122Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.8571445Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.8571615Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:36.8571786Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:36.8571951Z                        const float* __restrict__ in_ptr1)
2022-11-23T01:32:36.8572048Z {
2022-11-23T01:32:36.8572212Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.8572309Z     {
2022-11-23T01:32:36.8572436Z         #pragma omp for 
2022-11-23T01:32:36.8572554Z         for(long i0=0; i0<200; i0+=1)
2022-11-23T01:32:36.8572659Z         {
2022-11-23T01:32:36.8694072Z             {
2022-11-23T01:32:36.8719106Z                 {
2022-11-23T01:32:36.8719309Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:36.8719468Z                     auto tmp12 = in_ptr1[i0];
2022-11-23T01:32:36.8719651Z                     auto tmp1 = std::abs(tmp0);
2022-11-23T01:32:36.8719811Z                     auto tmp2 = std::sin(tmp1);
2022-11-23T01:32:36.8720091Z                     auto tmp3 = -tmp2;
2022-11-23T01:32:36.8720240Z                     auto tmp4 = tmp3 * tmp3;
2022-11-23T01:32:36.8720488Z                     auto tmp5 = std::exp(-tmp4);
2022-11-23T01:32:36.8720629Z                     auto tmp6 = 1 / (1 + tmp5);
2022-11-23T01:32:36.8720776Z                     auto tmp7 = tmp6 * (tmp6>0);
2022-11-23T01:32:36.8721161Z                     auto tmp8 = std::cos(tmp7);
2022-11-23T01:32:36.8721319Z                     auto tmp9 = std::exp(tmp8);
2022-11-23T01:32:36.8721479Z                     auto tmp10 = std::sqrt(tmp9);
2022-11-23T01:32:36.8721620Z                     auto tmp11 = tmp10 + tmp0;
2022-11-23T01:32:36.8721850Z                     auto tmp13 = tmp11 - tmp12;
2022-11-23T01:32:36.8722006Z                     auto tmp14 = tmp13 * tmp0;
2022-11-23T01:32:36.8722145Z                     auto tmp15 = tmp14 / tmp0;
2022-11-23T01:32:36.8722353Z                     auto tmp16 = tmp15 * tmp15;
2022-11-23T01:32:36.8722491Z                     auto tmp17 = tmp16 * tmp16;
2022-11-23T01:32:36.8722638Z                     auto tmp18 = tmp17 * tmp15;
2022-11-23T01:32:36.8722783Z                     auto tmp19 = tmp18 * tmp18;
2022-11-23T01:32:36.8722936Z                     auto tmp20 = std::log(tmp19);
2022-11-23T01:32:36.8723094Z                     auto tmp21 = std::floor(tmp20);
2022-11-23T01:32:36.8723258Z                     auto tmp22 = std::ceil(tmp21);
2022-11-23T01:32:36.8723419Z                     auto tmp23 = std::trunc(tmp22);
2022-11-23T01:32:36.8723586Z                     auto tmp24 = std::lgamma(tmp23);
2022-11-23T01:32:36.8723742Z                     auto tmp25 = std::fmod(tmp24, tmp12);
2022-11-23T01:32:36.8723892Z                     auto tmp26 = tmp25 > 0 ? 1 : 0;
2022-11-23T01:32:36.8724039Z                     auto tmp27 = tmp25 < 0 ? 1 : 0;
2022-11-23T01:32:36.8724285Z                     auto tmp28 = tmp26 - tmp27;
2022-11-23T01:32:36.8724417Z                     auto tmp29 = tmp28 + tmp12;
2022-11-23T01:32:36.8724559Z                     in_out_ptr0[i0] = tmp29;
2022-11-23T01:32:36.8724664Z                 }
2022-11-23T01:32:36.8724751Z             }
2022-11-23T01:32:36.8724857Z         }
2022-11-23T01:32:36.8724955Z     }
2022-11-23T01:32:36.8725044Z }
2022-11-23T01:32:36.8725166Z ''')
2022-11-23T01:32:36.8725177Z 
2022-11-23T01:32:36.8725184Z 
2022-11-23T01:32:36.8725339Z async_compile.wait(globals())
2022-11-23T01:32:36.8725461Z del async_compile
2022-11-23T01:32:36.8725468Z 
2022-11-23T01:32:36.8725572Z def call(args):
2022-11-23T01:32:36.8725682Z     x1_1, x2_1 = args
2022-11-23T01:32:36.8725793Z     args.clear()
2022-11-23T01:32:36.8726124Z     buf0 = empty_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8726263Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:36.8726515Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr()))
2022-11-23T01:32:36.8726622Z     del x1_1
2022-11-23T01:32:36.8726728Z     del x2_1
2022-11-23T01:32:36.8726825Z     return (buf1, )
2022-11-23T01:32:36.8726833Z 
2022-11-23T01:32:36.8726841Z 
2022-11-23T01:32:36.8726954Z if __name__ == "__main__":
2022-11-23T01:32:36.8727141Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.8727332Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.8727663Z     x1_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8727984Z     x2_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8728166Z     print_performance(lambda: call([x1_1, x2_1]))
2022-11-23T01:32:36.8728174Z 
2022-11-23T01:32:36.8728180Z 
2022-11-23T01:32:36.8728330Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.8728432Z import torch
2022-11-23T01:32:36.8728544Z import random
2022-11-23T01:32:36.8728738Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.8728938Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.8728945Z 
2022-11-23T01:32:36.8729078Z aten = torch.ops.aten
2022-11-23T01:32:36.8729288Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.8729443Z async_compile = AsyncCompile()
2022-11-23T01:32:36.8729452Z 
2022-11-23T01:32:36.8729459Z 
2022-11-23T01:32:36.8729685Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.8730012Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.8730290Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:36.8730467Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:36.8730631Z                        const float* __restrict__ in_ptr1)
2022-11-23T01:32:36.8730729Z {
2022-11-23T01:32:36.8730892Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.8730996Z     {
2022-11-23T01:32:36.8731108Z         #pragma omp for 
2022-11-23T01:32:36.8731306Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:36.8731417Z         {
2022-11-23T01:32:36.8731634Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:36.8731855Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:36.8732002Z             auto tmp1 = tmp0.abs();
2022-11-23T01:32:36.8732142Z             auto tmp2 = tmp1.sin();
2022-11-23T01:32:36.8732272Z             auto tmp3 = tmp2.neg();
2022-11-23T01:32:36.8732392Z             auto tmp4 = tmp3 * tmp3;
2022-11-23T01:32:36.8732626Z             auto tmp5 = decltype(tmp4)(1)/(decltype(tmp4)(1) + tmp4.neg().exp());
2022-11-23T01:32:36.8732827Z             auto tmp6 = at::vec::clamp_min(tmp5, decltype(tmp5)(0));
2022-11-23T01:32:36.8732963Z             auto tmp7 = tmp6.cos();
2022-11-23T01:32:36.8733117Z             auto tmp8 = tmp7.exp();
2022-11-23T01:32:36.8733261Z             auto tmp9 = tmp8.sqrt();
2022-11-23T01:32:36.8733392Z             auto tmp10 = tmp9 + tmp0;
2022-11-23T01:32:36.8733603Z             auto tmp12 = tmp10 - tmp11;
2022-11-23T01:32:36.8733748Z             auto tmp13 = tmp12 * tmp0;
2022-11-23T01:32:36.8733878Z             auto tmp14 = tmp13 / tmp0;
2022-11-23T01:32:36.8734003Z             auto tmp15 = tmp14 * tmp14;
2022-11-23T01:32:36.8734148Z             auto tmp16 = tmp15 * tmp15;
2022-11-23T01:32:36.8734290Z             auto tmp17 = tmp16 * tmp14;
2022-11-23T01:32:36.8734432Z             auto tmp18 = tmp17 * tmp17;
2022-11-23T01:32:36.8734574Z             auto tmp19 = tmp18.log();
2022-11-23T01:32:36.8734701Z             auto tmp20 = tmp19.floor();
2022-11-23T01:32:36.8734835Z             auto tmp21 = tmp20.ceil();
2022-11-23T01:32:36.8734980Z             auto tmp22 = tmp21.trunc();
2022-11-23T01:32:36.8735132Z             auto tmp23 = tmp22.lgamma();
2022-11-23T01:32:36.8735295Z             auto tmp24 = tmp23.fmod(tmp11);
2022-11-23T01:32:36.8735572Z             auto tmp25 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), decltype(tmp24)(0) < tmp24);
2022-11-23T01:32:36.8735843Z             auto tmp26 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), tmp24 < decltype(tmp24)(0));
2022-11-23T01:32:36.8736065Z             auto tmp27 = tmp25 - tmp26;
2022-11-23T01:32:36.8736187Z             auto tmp28 = tmp27 + tmp11;
2022-11-23T01:32:36.8736343Z             tmp28.store(in_out_ptr0 + 16*i0);
2022-11-23T01:32:36.8736447Z         }
2022-11-23T01:32:36.8736604Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:36.8736740Z         for(long i0=192; i0<200; i0+=1)
2022-11-23T01:32:36.8736848Z         {
2022-11-23T01:32:36.8736986Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:36.8737104Z             auto tmp12 = in_ptr1[i0];
2022-11-23T01:32:36.8737244Z             auto tmp1 = std::abs(tmp0);
2022-11-23T01:32:36.8737390Z             auto tmp2 = std::sin(tmp1);
2022-11-23T01:32:36.8737583Z             auto tmp3 = -tmp2;
2022-11-23T01:32:36.8737707Z             auto tmp4 = tmp3 * tmp3;
2022-11-23T01:32:36.8737940Z             auto tmp5 = std::exp(-tmp4);
2022-11-23T01:32:36.8738066Z             auto tmp6 = 1 / (1 + tmp5);
2022-11-23T01:32:36.8738196Z             auto tmp7 = tmp6 * (tmp6>0);
2022-11-23T01:32:36.8738345Z             auto tmp8 = std::cos(tmp7);
2022-11-23T01:32:36.8738490Z             auto tmp9 = std::exp(tmp8);
2022-11-23T01:32:36.8738641Z             auto tmp10 = std::sqrt(tmp9);
2022-11-23T01:32:36.8738776Z             auto tmp11 = tmp10 + tmp0;
2022-11-23T01:32:36.8738989Z             auto tmp13 = tmp11 - tmp12;
2022-11-23T01:32:36.8739199Z             auto tmp14 = tmp13 * tmp0;
2022-11-23T01:32:36.8739319Z             auto tmp15 = tmp14 / tmp0;
2022-11-23T01:32:36.8739456Z             auto tmp16 = tmp15 * tmp15;
2022-11-23T01:32:36.8739583Z             auto tmp17 = tmp16 * tmp16;
2022-11-23T01:32:36.8739730Z             auto tmp18 = tmp17 * tmp15;
2022-11-23T01:32:36.8739867Z             auto tmp19 = tmp18 * tmp18;
2022-11-23T01:32:36.8740021Z             auto tmp20 = std::log(tmp19);
2022-11-23T01:32:36.8740227Z             auto tmp21 = std::floor(tmp20);
2022-11-23T01:32:36.8740380Z             auto tmp22 = std::ceil(tmp21);
2022-11-23T01:32:36.8740517Z             auto tmp23 = std::trunc(tmp22);
2022-11-23T01:32:36.8740681Z             auto tmp24 = std::lgamma(tmp23);
2022-11-23T01:32:36.8740844Z             auto tmp25 = std::fmod(tmp24, tmp12);
2022-11-23T01:32:36.8740984Z             auto tmp26 = tmp25 > 0 ? 1 : 0;
2022-11-23T01:32:36.8741118Z             auto tmp27 = tmp25 < 0 ? 1 : 0;
2022-11-23T01:32:36.8741342Z             auto tmp28 = tmp26 - tmp27;
2022-11-23T01:32:36.8741484Z             auto tmp29 = tmp28 + tmp12;
2022-11-23T01:32:36.8741602Z             in_out_ptr0[i0] = tmp29;
2022-11-23T01:32:36.8741713Z         }
2022-11-23T01:32:36.8741816Z     }
2022-11-23T01:32:36.8741915Z }
2022-11-23T01:32:36.8742044Z ''')
2022-11-23T01:32:36.8742053Z 
2022-11-23T01:32:36.8742061Z 
2022-11-23T01:32:36.8742216Z async_compile.wait(globals())
2022-11-23T01:32:36.8742324Z del async_compile
2022-11-23T01:32:36.8742336Z 
2022-11-23T01:32:36.8742439Z def call(args):
2022-11-23T01:32:36.8742550Z     x1_1, x2_1 = args
2022-11-23T01:32:36.8742667Z     args.clear()
2022-11-23T01:32:36.8742984Z     buf0 = empty_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8743119Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:36.8743375Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr()))
2022-11-23T01:32:36.8743481Z     del x1_1
2022-11-23T01:32:36.8743593Z     del x2_1
2022-11-23T01:32:36.8743689Z     return (buf1, )
2022-11-23T01:32:36.8743697Z 
2022-11-23T01:32:36.8743702Z 
2022-11-23T01:32:36.8743825Z if __name__ == "__main__":
2022-11-23T01:32:36.8744017Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.8744217Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.8744621Z     x1_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8744952Z     x2_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8745135Z     print_performance(lambda: call([x1_1, x2_1]))
2022-11-23T01:32:36.8745143Z 
2022-11-23T01:32:36.8745151Z 
2022-11-23T01:32:36.8745309Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.8745418Z import torch
2022-11-23T01:32:36.8745530Z import random
2022-11-23T01:32:36.8745725Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.8745925Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.8745936Z 
2022-11-23T01:32:36.8746065Z aten = torch.ops.aten
2022-11-23T01:32:36.8746283Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.8746429Z async_compile = AsyncCompile()
2022-11-23T01:32:36.8746436Z 
2022-11-23T01:32:36.8746443Z 
2022-11-23T01:32:36.8746663Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.8746995Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.8747183Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:36.8747350Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:36.8747522Z                        const float* __restrict__ in_ptr1)
2022-11-23T01:32:36.8747622Z {
2022-11-23T01:32:36.8747761Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T01:32:36.8747920Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.8748025Z     {
2022-11-23T01:32:36.8748135Z         #pragma omp for 
2022-11-23T01:32:36.8748267Z         for(long i0=0; i0<20; i0+=1)
2022-11-23T01:32:36.8748435Z         {
2022-11-23T01:32:36.8748564Z             #pragma GCC ivdep
2022-11-23T01:32:36.8748699Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:36.8748804Z             {
2022-11-23T01:32:36.8748892Z                 {
2022-11-23T01:32:36.8749005Z                     {
2022-11-23T01:32:36.8749162Z                         auto tmp0 = in_ptr0[i0 + (20*i1)];
2022-11-23T01:32:36.8749376Z                         auto tmp12 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:36.8749538Z                         auto tmp1 = std::abs(tmp0);
2022-11-23T01:32:36.8749697Z                         auto tmp2 = std::sin(tmp1);
2022-11-23T01:32:36.8749911Z                         auto tmp3 = -tmp2;
2022-11-23T01:32:36.8750058Z                         auto tmp4 = tmp3 * tmp3;
2022-11-23T01:32:36.8750287Z                         auto tmp5 = std::exp(-tmp4);
2022-11-23T01:32:36.8750438Z                         auto tmp6 = 1 / (1 + tmp5);
2022-11-23T01:32:36.8750589Z                         auto tmp7 = tmp6 * (tmp6>0);
2022-11-23T01:32:36.8750751Z                         auto tmp8 = std::cos(tmp7);
2022-11-23T01:32:36.8750903Z                         auto tmp9 = std::exp(tmp8);
2022-11-23T01:32:36.8751064Z                         auto tmp10 = std::sqrt(tmp9);
2022-11-23T01:32:36.8751220Z                         auto tmp11 = tmp10 + tmp0;
2022-11-23T01:32:36.8751432Z                         auto tmp13 = tmp11 - tmp12;
2022-11-23T01:32:36.8751584Z                         auto tmp14 = tmp13 * tmp0;
2022-11-23T01:32:36.8751732Z                         auto tmp15 = tmp14 / tmp0;
2022-11-23T01:32:36.8751880Z                         auto tmp16 = tmp15 * tmp15;
2022-11-23T01:32:36.8752028Z                         auto tmp17 = tmp16 * tmp16;
2022-11-23T01:32:36.8752168Z                         auto tmp18 = tmp17 * tmp15;
2022-11-23T01:32:36.8752316Z                         auto tmp19 = tmp18 * tmp18;
2022-11-23T01:32:36.8752469Z                         out_ptr0[i1 + (10*i0)] = tmp19;
2022-11-23T01:32:36.8752570Z                     }
2022-11-23T01:32:36.8752664Z                 }
2022-11-23T01:32:36.8752765Z             }
2022-11-23T01:32:36.8752865Z         }
2022-11-23T01:32:36.8752996Z         #pragma omp for 
2022-11-23T01:32:36.8753133Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:36.8753224Z         {
2022-11-23T01:32:36.8753431Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 16*i0);
2022-11-23T01:32:36.8753658Z             auto tmp6 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:36.8753788Z             auto tmp1 = tmp0.log();
2022-11-23T01:32:36.8753932Z             auto tmp2 = tmp1.floor();
2022-11-23T01:32:36.8754064Z             auto tmp3 = tmp2.ceil();
2022-11-23T01:32:36.8754201Z             auto tmp4 = tmp3.trunc();
2022-11-23T01:32:36.8754351Z             auto tmp5 = tmp4.lgamma();
2022-11-23T01:32:36.8754475Z             auto tmp7 = tmp5.fmod(tmp6);
2022-11-23T01:32:36.8754749Z             auto tmp8 = decltype(tmp7)::blendv(decltype(tmp7)(0), decltype(tmp7)(1), decltype(tmp7)(0) < tmp7);
2022-11-23T01:32:36.8755038Z             auto tmp9 = decltype(tmp7)::blendv(decltype(tmp7)(0), decltype(tmp7)(1), tmp7 < decltype(tmp7)(0));
2022-11-23T01:32:36.8755243Z             auto tmp10 = tmp8 - tmp9;
2022-11-23T01:32:36.8755377Z             auto tmp11 = tmp10 + tmp6;
2022-11-23T01:32:36.8755538Z             tmp11.store(in_out_ptr0 + 16*i0);
2022-11-23T01:32:36.8755640Z         }
2022-11-23T01:32:36.8755796Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:36.8755911Z         for(long i0=192; i0<200; i0+=1)
2022-11-23T01:32:36.8756013Z         {
2022-11-23T01:32:36.8756156Z             auto tmp0 = out_ptr0[i0];
2022-11-23T01:32:36.8756294Z             auto tmp6 = in_ptr1[i0];
2022-11-23T01:32:36.8756432Z             auto tmp1 = std::log(tmp0);
2022-11-23T01:32:36.8756586Z             auto tmp2 = std::floor(tmp1);
2022-11-23T01:32:36.8756730Z             auto tmp3 = std::ceil(tmp2);
2022-11-23T01:32:36.8756861Z             auto tmp4 = std::trunc(tmp3);
2022-11-23T01:32:36.8757077Z             auto tmp5 = std::lgamma(tmp4);
2022-11-23T01:32:36.8757358Z             auto tmp7 = std::fmod(tmp5, tmp6);
2022-11-23T01:32:36.8757492Z             auto tmp8 = tmp7 > 0 ? 1 : 0;
2022-11-23T01:32:36.8757631Z             auto tmp9 = tmp7 < 0 ? 1 : 0;
2022-11-23T01:32:36.8757850Z             auto tmp10 = tmp8 - tmp9;
2022-11-23T01:32:36.8757987Z             auto tmp11 = tmp10 + tmp6;
2022-11-23T01:32:36.8758206Z             in_out_ptr0[i0] = tmp11;
2022-11-23T01:32:36.8758301Z         }
2022-11-23T01:32:36.8758410Z     }
2022-11-23T01:32:36.8758512Z }
2022-11-23T01:32:36.8758639Z ''')
2022-11-23T01:32:36.8758648Z 
2022-11-23T01:32:36.8758656Z 
2022-11-23T01:32:36.8758808Z async_compile.wait(globals())
2022-11-23T01:32:36.8758929Z del async_compile
2022-11-23T01:32:36.8758936Z 
2022-11-23T01:32:36.8759048Z def call(args):
2022-11-23T01:32:36.8759149Z     x1_1, x2_1 = args
2022-11-23T01:32:36.8759262Z     args.clear()
2022-11-23T01:32:36.8759600Z     buf0 = empty_strided((20, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8759725Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:36.8759985Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr()))
2022-11-23T01:32:36.8760081Z     del x1_1
2022-11-23T01:32:36.8760175Z     del x2_1
2022-11-23T01:32:36.8760279Z     return (buf1, )
2022-11-23T01:32:36.8760301Z 
2022-11-23T01:32:36.8760308Z 
2022-11-23T01:32:36.8760416Z if __name__ == "__main__":
2022-11-23T01:32:36.8760600Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.8760797Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.8761117Z     x1_1 = rand_strided((20, 10), (1, 20), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8761445Z     x2_1 = rand_strided((20, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8761622Z     print_performance(lambda: call([x1_1, x2_1]))
2022-11-23T01:32:36.8762246Z [2022-11-23 01:13:52,717] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kb/ckbtmttqd5hdk7jd35cvlclo3lcy7jikoxwovdmrcnzlmvttejgh.py
2022-11-23T01:32:36.8762700Z [2022-11-23 01:13:52,718] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:32:36.8763120Z [2022-11-23 01:13:52,782] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:32:36.8763732Z [2022-11-23 01:13:55,434] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/e4/ce4mhldsahuvf2jaewpjowdkz3v74pa3k3vsffhqmfeswonfy6dp.py
2022-11-23T01:32:36.8764171Z [2022-11-23 01:13:55,434] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:32:36.8764179Z 
2022-11-23T01:32:36.8764186Z 
2022-11-23T01:32:36.8764345Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.8764451Z import torch
2022-11-23T01:32:36.8764566Z import random
2022-11-23T01:32:36.8764732Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.8764919Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.8764929Z 
2022-11-23T01:32:36.8765053Z aten = torch.ops.aten
2022-11-23T01:32:36.8765254Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.8765391Z async_compile = AsyncCompile()
2022-11-23T01:32:36.8765398Z 
2022-11-23T01:32:36.8765403Z 
2022-11-23T01:32:36.8765638Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.8765981Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.8766169Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:36.8766343Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:36.8766509Z                        const float* __restrict__ in_ptr1)
2022-11-23T01:32:36.8766611Z {
2022-11-23T01:32:36.8766766Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.8766857Z     {
2022-11-23T01:32:36.8766983Z         #pragma omp for 
2022-11-23T01:32:36.8767239Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:36.8767337Z         {
2022-11-23T01:32:36.8767575Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:36.8767792Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:36.8767913Z             auto tmp1 = tmp0.abs();
2022-11-23T01:32:36.8768045Z             auto tmp2 = tmp1.sin();
2022-11-23T01:32:36.8768261Z             auto tmp3 = tmp2.neg();
2022-11-23T01:32:36.8768401Z             auto tmp4 = tmp3 * tmp3;
2022-11-23T01:32:36.8768618Z             auto tmp5 = decltype(tmp4)(1)/(decltype(tmp4)(1) + tmp4.neg().exp());
2022-11-23T01:32:36.8768827Z             auto tmp6 = at::vec::clamp_min(tmp5, decltype(tmp5)(0));
2022-11-23T01:32:36.8768965Z             auto tmp7 = tmp6.cos();
2022-11-23T01:32:36.8769087Z             auto tmp8 = tmp7.exp();
2022-11-23T01:32:36.8769219Z             auto tmp9 = tmp8.sqrt();
2022-11-23T01:32:36.8769346Z             auto tmp10 = tmp9 + tmp0;
2022-11-23T01:32:36.8769575Z             auto tmp12 = tmp10 - tmp11;
2022-11-23T01:32:36.8769711Z             auto tmp13 = tmp12 * tmp0;
2022-11-23T01:32:36.8769840Z             auto tmp14 = tmp13 / tmp0;
2022-11-23T01:32:36.8769976Z             auto tmp15 = tmp14 * tmp14;
2022-11-23T01:32:36.8770093Z             auto tmp16 = tmp15 * tmp15;
2022-11-23T01:32:36.8770227Z             auto tmp17 = tmp16 * tmp14;
2022-11-23T01:32:36.8770362Z             auto tmp18 = tmp17 * tmp17;
2022-11-23T01:32:36.8770499Z             auto tmp19 = tmp18.log();
2022-11-23T01:32:36.8770631Z             auto tmp20 = tmp19.floor();
2022-11-23T01:32:36.8770761Z             auto tmp21 = tmp20.ceil();
2022-11-23T01:32:36.8770888Z             auto tmp22 = tmp21.trunc();
2022-11-23T01:32:36.8771016Z             auto tmp23 = tmp22.lgamma();
2022-11-23T01:32:36.8771165Z             auto tmp24 = tmp23.fmod(tmp11);
2022-11-23T01:32:36.8771441Z             auto tmp25 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), decltype(tmp24)(0) < tmp24);
2022-11-23T01:32:36.8771714Z             auto tmp26 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), tmp24 < decltype(tmp24)(0));
2022-11-23T01:32:36.8771926Z             auto tmp27 = tmp25 - tmp26;
2022-11-23T01:32:36.8772056Z             auto tmp28 = tmp27 + tmp11;
2022-11-23T01:32:36.8772242Z             tmp28.store(in_out_ptr0 + 16*i0);
2022-11-23T01:32:36.8772346Z         }
2022-11-23T01:32:36.8772484Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:36.8772614Z         for(long i0=64; i0<70; i0+=1)
2022-11-23T01:32:36.8772713Z         {
2022-11-23T01:32:36.8772845Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:36.8772977Z             auto tmp12 = in_ptr1[i0];
2022-11-23T01:32:36.8773126Z             auto tmp1 = std::abs(tmp0);
2022-11-23T01:32:36.8773269Z             auto tmp2 = std::sin(tmp1);
2022-11-23T01:32:36.8773433Z             auto tmp3 = -tmp2;
2022-11-23T01:32:36.8773568Z             auto tmp4 = tmp3 * tmp3;
2022-11-23T01:32:36.8773795Z             auto tmp5 = std::exp(-tmp4);
2022-11-23T01:32:36.8773919Z             auto tmp6 = 1 / (1 + tmp5);
2022-11-23T01:32:36.8774057Z             auto tmp7 = tmp6 * (tmp6>0);
2022-11-23T01:32:36.8774197Z             auto tmp8 = std::cos(tmp7);
2022-11-23T01:32:36.8774336Z             auto tmp9 = std::exp(tmp8);
2022-11-23T01:32:36.8774482Z             auto tmp10 = std::sqrt(tmp9);
2022-11-23T01:32:36.8774601Z             auto tmp11 = tmp10 + tmp0;
2022-11-23T01:32:36.8774813Z             auto tmp13 = tmp11 - tmp12;
2022-11-23T01:32:36.8774950Z             auto tmp14 = tmp13 * tmp0;
2022-11-23T01:32:36.8775077Z             auto tmp15 = tmp14 / tmp0;
2022-11-23T01:32:36.8775208Z             auto tmp16 = tmp15 * tmp15;
2022-11-23T01:32:36.8775342Z             auto tmp17 = tmp16 * tmp16;
2022-11-23T01:32:36.8775471Z             auto tmp18 = tmp17 * tmp15;
2022-11-23T01:32:36.8775603Z             auto tmp19 = tmp18 * tmp18;
2022-11-23T01:32:36.8775747Z             auto tmp20 = std::log(tmp19);
2022-11-23T01:32:36.8775951Z             auto tmp21 = std::floor(tmp20);
2022-11-23T01:32:36.8776086Z             auto tmp22 = std::ceil(tmp21);
2022-11-23T01:32:36.8776240Z             auto tmp23 = std::trunc(tmp22);
2022-11-23T01:32:36.8776396Z             auto tmp24 = std::lgamma(tmp23);
2022-11-23T01:32:36.8776561Z             auto tmp25 = std::fmod(tmp24, tmp12);
2022-11-23T01:32:36.8776703Z             auto tmp26 = tmp25 > 0 ? 1 : 0;
2022-11-23T01:32:36.8776908Z             auto tmp27 = tmp25 < 0 ? 1 : 0;
2022-11-23T01:32:36.8777132Z             auto tmp28 = tmp26 - tmp27;
2022-11-23T01:32:36.8777284Z             auto tmp29 = tmp28 + tmp12;
2022-11-23T01:32:36.8777424Z             in_out_ptr0[i0] = tmp29;
2022-11-23T01:32:36.8777533Z         }
2022-11-23T01:32:36.8777628Z     }
2022-11-23T01:32:36.8777735Z }
2022-11-23T01:32:36.8777862Z ''')
2022-11-23T01:32:36.8777872Z 
2022-11-23T01:32:36.8777881Z 
2022-11-23T01:32:36.8778026Z async_compile.wait(globals())
2022-11-23T01:32:36.8778163Z del async_compile
2022-11-23T01:32:36.8778170Z 
2022-11-23T01:32:36.8778289Z def call(args):
2022-11-23T01:32:36.8778394Z     x1_1, x2_1 = args
2022-11-23T01:32:36.8778515Z     args.clear()
2022-11-23T01:32:36.8778852Z     buf0 = empty_strided((10, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8779005Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:36.8779272Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr()))
2022-11-23T01:32:36.8779386Z     del x1_1
2022-11-23T01:32:36.8779508Z     del x2_1
2022-11-23T01:32:36.8779641Z     return (buf1, )
2022-11-23T01:32:36.8779647Z 
2022-11-23T01:32:36.8779653Z 
2022-11-23T01:32:36.8779775Z if __name__ == "__main__":
2022-11-23T01:32:36.8779958Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.8780152Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.8780496Z     x1_1 = rand_strided((10, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8780807Z     x2_1 = rand_strided((10, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8780992Z     print_performance(lambda: call([x1_1, x2_1]))
2022-11-23T01:32:36.8781000Z 
2022-11-23T01:32:36.8781127Z ok (9.315s)
2022-11-23T01:32:36.8781620Z   test_abs_cpu (__main__.CpuTests) ... [2022-11-23 01:13:55,446] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:36.8782082Z [2022-11-23 01:13:55,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:36.8782444Z [2022-11-23 01:13:55,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:36.8782868Z [2022-11-23 01:13:55,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:36.8783357Z [2022-11-23 01:13:55,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:36.8783893Z [2022-11-23 01:13:55,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:36.8784424Z [2022-11-23 01:13:55,447] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64685d0, file "inductor/test_torchinductor.py", line 664> 
2022-11-23T01:32:36.8784667Z  665           0 LOAD_FAST                0 (a)
2022-11-23T01:32:36.8784815Z               2 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:36.8784958Z               4 LOAD_METHOD              1 (abs)
2022-11-23T01:32:36.8785105Z               6 LOAD_FAST                0 (a)
2022-11-23T01:32:36.8785244Z               8 CALL_METHOD              1
2022-11-23T01:32:36.8785392Z              10 LOAD_CONST               1 (1)
2022-11-23T01:32:36.8785499Z              12 BINARY_ADD
2022-11-23T01:32:36.8785616Z              14 BINARY_TRUE_DIVIDE
2022-11-23T01:32:36.8785763Z              16 BUILD_TUPLE              1
2022-11-23T01:32:36.8785882Z              18 RETURN_VALUE
2022-11-23T01:32:36.8786053Z  
2022-11-23T01:32:36.8786061Z 
2022-11-23T01:32:36.8786518Z [2022-11-23 01:13:55,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:665
2022-11-23T01:32:36.8786862Z [2022-11-23 01:13:55,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:36.8787270Z [2022-11-23 01:13:55,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:36.8787986Z [2022-11-23 01:13:55,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR abs [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:36.8788578Z [2022-11-23 01:13:55,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method abs of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:36.8789210Z [2022-11-23 01:13:55,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method abs of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:36.8789658Z [2022-11-23 01:13:55,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.8790171Z [2022-11-23 01:13:55,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:36.8790651Z [2022-11-23 01:13:55,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.8791044Z [2022-11-23 01:13:55,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:36.8791456Z [2022-11-23 01:13:55,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.8791998Z [2022-11-23 01:13:55,457] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64685d0, file "inductor/test_torchinductor.py", line 664>
2022-11-23T01:32:36.8792408Z [2022-11-23 01:13:55,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.8792798Z [2022-11-23 01:13:55,457] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:36.8793218Z [2022-11-23 01:13:55,458] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:36.8793626Z [2022-11-23 01:13:55,465] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:36.8793923Z [2022-11-23 01:13:55,465] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:36.8794140Z  __compiled_fn_5 <eval_with_key>.47 opcode, name, target, args, kwargs
2022-11-23T01:32:36.8794282Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:36.8794652Z call_function, abs_1, <built-in method abs of type object at 0x7f71f2abebc0>, (ex_0_,), {}
2022-11-23T01:32:36.8794928Z call_function, add, <built-in function add>, (abs_1, 1), {}
2022-11-23T01:32:36.8795240Z call_function, truediv, <built-in function truediv>, (ex_0_, add), {}
2022-11-23T01:32:36.8795396Z output, output, output, ((truediv,),), {}
2022-11-23T01:32:36.8795405Z 
2022-11-23T01:32:36.8795870Z [2022-11-23 01:13:55,465] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.8796003Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:36.8796146Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.8796291Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:36.8796430Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:36.8796552Z               8 RETURN_VALUE
2022-11-23T01:32:36.8796561Z 
2022-11-23T01:32:36.8796654Z  
2022-11-23T01:32:36.8829880Z [2022-11-23 01:13:55,466] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.8830229Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_5)
2022-11-23T01:32:36.8830516Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.8830674Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:36.8830795Z               6 BINARY_SUBSCR
2022-11-23T01:32:36.8830947Z               8 CALL_FUNCTION            1
2022-11-23T01:32:36.8831131Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:36.8831312Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.8831538Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:36.8831653Z              16 BINARY_SUBSCR
2022-11-23T01:32:36.8831807Z              18 BUILD_TUPLE              1
2022-11-23T01:32:36.8831928Z              20 RETURN_VALUE
2022-11-23T01:32:36.8831939Z 
2022-11-23T01:32:36.8832037Z  
2022-11-23T01:32:36.8832394Z [2022-11-23 01:13:55,467] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:36.8832521Z  - 
2022-11-23T01:32:36.8832728Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:36.8832830Z             {
2022-11-23T01:32:36.8833065Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:36.8833365Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:36.8834536Z                 'obj_weakref': None
2022-11-23T01:32:36.8834924Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:36.8835022Z             }
2022-11-23T01:32:36.8835131Z             
2022-11-23T01:32:36.8835244Z  - 
2022-11-23T01:32:36.8835461Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:36.8835560Z             {
2022-11-23T01:32:36.8835813Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.8835995Z                 'code': None,
2022-11-23T01:32:36.8836356Z                 'obj_weakref': <weakref at 0x7f7129ec28f0; to 'Tensor' at 0x7f7129ea6b30>
2022-11-23T01:32:36.8836761Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.8836867Z             }
2022-11-23T01:32:36.8836959Z             
2022-11-23T01:32:36.8837071Z  - 
2022-11-23T01:32:36.8837398Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:36.8837507Z             {
2022-11-23T01:32:36.8837725Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:36.8838015Z                 'code': ['___check_obj_id(model, 140123913580128)'],
2022-11-23T01:32:36.8838198Z                 'obj_weakref': None
2022-11-23T01:32:36.8838578Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:36.8838682Z             }
2022-11-23T01:32:36.8838784Z             
2022-11-23T01:32:36.8838890Z  - 
2022-11-23T01:32:36.8839090Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:36.8839194Z             {
2022-11-23T01:32:36.8839412Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:36.8839756Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:36.8839954Z                 'obj_weakref': None
2022-11-23T01:32:36.8840322Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:36.8840423Z             }
2022-11-23T01:32:36.8840516Z             
2022-11-23T01:32:36.8840626Z  - 
2022-11-23T01:32:36.8840829Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:36.8840935Z             {
2022-11-23T01:32:36.8841140Z                 'guard_types': None,
2022-11-23T01:32:36.8841310Z                 'code': None,
2022-11-23T01:32:36.8841499Z                 'obj_weakref': None
2022-11-23T01:32:36.8841701Z                 'guarded_class': None
2022-11-23T01:32:36.8841805Z             }
2022-11-23T01:32:36.8841890Z             
2022-11-23T01:32:36.8842307Z [2022-11-23 01:13:55,477] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 5
2022-11-23T01:32:36.8842924Z [2022-11-23 01:13:58,049] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n7/cn7kq6w4cwmgda2pfj4zne2idtl3rlzhdjiqizpdfhg5d7n53xzz.py
2022-11-23T01:32:36.8843476Z [2022-11-23 01:13:58,049] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 5
2022-11-23T01:32:36.8843486Z 
2022-11-23T01:32:36.8843636Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.8843742Z import torch
2022-11-23T01:32:36.8843847Z import random
2022-11-23T01:32:36.8844036Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.8844280Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.8844306Z 
2022-11-23T01:32:36.8844420Z aten = torch.ops.aten
2022-11-23T01:32:36.8844626Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.8844773Z async_compile = AsyncCompile()
2022-11-23T01:32:36.8844780Z 
2022-11-23T01:32:36.8844786Z 
2022-11-23T01:32:36.8845001Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.8845321Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.8845508Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:36.8845661Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:36.8845752Z {
2022-11-23T01:32:36.8845896Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.8845995Z     {
2022-11-23T01:32:36.8846112Z         #pragma omp for 
2022-11-23T01:32:36.8846235Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:36.8846333Z         {
2022-11-23T01:32:36.8846556Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:36.8846685Z             auto tmp1 = tmp0.abs();
2022-11-23T01:32:36.8846883Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:36.8847009Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:36.8847142Z             auto tmp4 = tmp0 / tmp3;
2022-11-23T01:32:36.8847286Z             tmp4.store(out_ptr0 + 16*i0);
2022-11-23T01:32:36.8847381Z         }
2022-11-23T01:32:36.8847536Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:36.8847662Z         for(long i0=16; i0<17; i0+=1)
2022-11-23T01:32:36.8847748Z         {
2022-11-23T01:32:36.8847873Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:36.8848010Z             auto tmp1 = std::abs(tmp0);
2022-11-23T01:32:36.8848169Z             auto tmp2 = static_cast<float>(1);
2022-11-23T01:32:36.8848306Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:36.8848442Z             auto tmp4 = tmp0 / tmp3;
2022-11-23T01:32:36.8848568Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:36.8848651Z         }
2022-11-23T01:32:36.8848744Z     }
2022-11-23T01:32:36.8848831Z }
2022-11-23T01:32:36.8848970Z ''')
2022-11-23T01:32:36.8848977Z 
2022-11-23T01:32:36.8848983Z 
2022-11-23T01:32:36.8849121Z async_compile.wait(globals())
2022-11-23T01:32:36.8849233Z del async_compile
2022-11-23T01:32:36.8849241Z 
2022-11-23T01:32:36.8849350Z def call(args):
2022-11-23T01:32:36.8849443Z     arg0_1, = args
2022-11-23T01:32:36.8849551Z     args.clear()
2022-11-23T01:32:36.8849869Z     buf0 = empty_strided((17, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8850078Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:36.8850184Z     del arg0_1
2022-11-23T01:32:36.8850293Z     return (buf0, )
2022-11-23T01:32:36.8850302Z 
2022-11-23T01:32:36.8850307Z 
2022-11-23T01:32:36.8850421Z if __name__ == "__main__":
2022-11-23T01:32:36.8850605Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.8850791Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.8851110Z     arg0_1 = rand_strided((17, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8851279Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:36.8851286Z 
2022-11-23T01:32:36.8851390Z ok (2.615s)
2022-11-23T01:32:36.8851933Z   test_adaptive_avg_pool2d1_cpu (__main__.CpuTests) ... [2022-11-23 01:13:58,061] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:36.8852458Z [2022-11-23 01:13:58,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:36.8852817Z [2022-11-23 01:13:58,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:36.8853242Z [2022-11-23 01:13:58,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:36.8853748Z [2022-11-23 01:13:58,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:36.8854269Z [2022-11-23 01:13:58,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:36.8854804Z [2022-11-23 01:13:58,061] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f640a150, file "inductor/test_torchinductor.py", line 1915> 
2022-11-23T01:32:36.8854957Z  1916           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:36.8855138Z                2 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:32:36.8855272Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:36.8855417Z                6 LOAD_CONST               1 ((6, 6))
2022-11-23T01:32:36.8855554Z                8 CALL_METHOD              2
2022-11-23T01:32:36.8855697Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:36.8855862Z               12 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:32:36.8855871Z 
2022-11-23T01:32:36.8856009Z 1917          14 LOAD_FAST                0 (x)
2022-11-23T01:32:36.8856142Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:36.8856258Z               18 BINARY_ADD
2022-11-23T01:32:36.8856406Z               20 LOAD_CONST               3 ((2, 5))
2022-11-23T01:32:36.8856555Z               22 CALL_METHOD              2
2022-11-23T01:32:36.8856694Z               24 BUILD_TUPLE              2
2022-11-23T01:32:36.8856801Z               26 RETURN_VALUE
2022-11-23T01:32:36.8856895Z  
2022-11-23T01:32:36.8856902Z 
2022-11-23T01:32:36.8857359Z [2022-11-23 01:13:58,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1916
2022-11-23T01:32:36.8857714Z [2022-11-23 01:13:58,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:36.8858273Z [2022-11-23 01:13:58,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:36.8858721Z [2022-11-23 01:13:58,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:32:36.8859240Z [2022-11-23 01:13:58,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (6, 6) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:36.8859816Z [2022-11-23 01:13:58,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:36.8860215Z [2022-11-23 01:13:58,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:36.8860809Z [2022-11-23 01:13:58,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:36.8861250Z [2022-11-23 01:13:58,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1917
2022-11-23T01:32:36.8861735Z [2022-11-23 01:13:58,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:32:36.8862278Z [2022-11-23 01:13:58,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:36.8862916Z [2022-11-23 01:13:58,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:36.8863581Z [2022-11-23 01:13:58,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 5) [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:36.8864285Z [2022-11-23 01:13:58,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:36.8864962Z [2022-11-23 01:13:58,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.8865370Z [2022-11-23 01:13:58,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.8865914Z [2022-11-23 01:13:58,093] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f640a150, file "inductor/test_torchinductor.py", line 1915>
2022-11-23T01:32:36.8866315Z [2022-11-23 01:13:58,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.8866690Z [2022-11-23 01:13:58,093] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:36.8867118Z [2022-11-23 01:13:58,095] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:36.8867502Z [2022-11-23 01:13:58,101] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:36.8867817Z [2022-11-23 01:13:58,101] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:36.8868032Z  __compiled_fn_6 <eval_with_key>.53 opcode, name, target, args, kwargs
2022-11-23T01:32:36.8868167Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:36.8868398Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (6, 6)), {}
2022-11-23T01:32:36.8868689Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:36.8868923Z call_function, _adaptive_avg_pool2d_1, aten._adaptive_avg_pool2d, (add, (2, 5)), {}
2022-11-23T01:32:36.8869141Z output, output, output, ((_adaptive_avg_pool2d, _adaptive_avg_pool2d_1),), {}
2022-11-23T01:32:36.8869150Z 
2022-11-23T01:32:36.8869584Z [2022-11-23 01:13:58,102] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.8869730Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:36.8869878Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.8870022Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:36.8870163Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:36.8870286Z               8 RETURN_VALUE
2022-11-23T01:32:36.8870294Z 
2022-11-23T01:32:36.8870387Z  
2022-11-23T01:32:36.8870848Z [2022-11-23 01:13:58,102] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.8871004Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_6)
2022-11-23T01:32:36.8871154Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.8871286Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:36.8871401Z               6 BINARY_SUBSCR
2022-11-23T01:32:36.8871544Z               8 CALL_FUNCTION            1
2022-11-23T01:32:36.8871710Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:36.8871874Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.8872014Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:36.8872114Z              16 BINARY_SUBSCR
2022-11-23T01:32:36.8872271Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.8872413Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:36.8872527Z              22 BINARY_SUBSCR
2022-11-23T01:32:36.8872662Z              24 BUILD_TUPLE              2
2022-11-23T01:32:36.8872777Z              26 RETURN_VALUE
2022-11-23T01:32:36.8872856Z 
2022-11-23T01:32:36.8872949Z  
2022-11-23T01:32:36.8873233Z [2022-11-23 01:13:58,103] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:36.8873339Z  - 
2022-11-23T01:32:36.8930938Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:36.8931010Z             {
2022-11-23T01:32:36.8931167Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:36.8931464Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:36.8931814Z                 'obj_weakref': None
2022-11-23T01:32:36.8932156Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:36.8932259Z             }
2022-11-23T01:32:36.8932360Z             
2022-11-23T01:32:36.8932476Z  - 
2022-11-23T01:32:36.8932675Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:36.8932781Z             {
2022-11-23T01:32:36.8933020Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.8933180Z                 'code': None,
2022-11-23T01:32:36.8933525Z                 'obj_weakref': <weakref at 0x7f7129e810b0; to 'Tensor' at 0x7f7129e42f50>
2022-11-23T01:32:36.8934002Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.8934102Z             }
2022-11-23T01:32:36.8934207Z             
2022-11-23T01:32:36.8934317Z  - 
2022-11-23T01:32:36.8934522Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:36.8934612Z             {
2022-11-23T01:32:36.8934842Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:36.8935124Z                 'code': ['___check_obj_id(model, 140124016795376)'],
2022-11-23T01:32:36.8935324Z                 'obj_weakref': None
2022-11-23T01:32:36.8935697Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:36.8935797Z             }
2022-11-23T01:32:36.8935896Z             
2022-11-23T01:32:36.8935996Z  - 
2022-11-23T01:32:36.8936189Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:36.8936290Z             {
2022-11-23T01:32:36.8936512Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:36.8936855Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:36.8937051Z                 'obj_weakref': None
2022-11-23T01:32:36.8937400Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:36.8937498Z             }
2022-11-23T01:32:36.8937589Z             
2022-11-23T01:32:36.8937703Z  - 
2022-11-23T01:32:36.8937926Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:36.8938027Z             {
2022-11-23T01:32:36.8938229Z                 'guard_types': None,
2022-11-23T01:32:36.8938405Z                 'code': None,
2022-11-23T01:32:36.8938601Z                 'obj_weakref': None
2022-11-23T01:32:36.8938786Z                 'guarded_class': None
2022-11-23T01:32:36.8938889Z             }
2022-11-23T01:32:36.8938983Z             
2022-11-23T01:32:36.8939403Z [2022-11-23 01:13:58,113] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 6
2022-11-23T01:32:36.8939818Z [2022-11-23 01:13:58,392] torch._inductor.ir: [WARNING] Using FallbackKernel: aten._adaptive_avg_pool2d
2022-11-23T01:32:36.8939828Z 
2022-11-23T01:32:36.8939978Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.8940086Z import torch
2022-11-23T01:32:36.8940187Z import random
2022-11-23T01:32:36.8940373Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.8940566Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.8940574Z 
2022-11-23T01:32:36.8940695Z aten = torch.ops.aten
2022-11-23T01:32:36.8940921Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.8941077Z async_compile = AsyncCompile()
2022-11-23T01:32:36.8941086Z 
2022-11-23T01:32:36.8941093Z 
2022-11-23T01:32:36.8941324Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.8941669Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.8941943Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:36.8942098Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:36.8942249Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:36.8942348Z {
2022-11-23T01:32:36.8942513Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.8942608Z     {
2022-11-23T01:32:36.8942786Z         #pragma omp for 
2022-11-23T01:32:36.8942914Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:36.8943013Z         {
2022-11-23T01:32:36.8943131Z             #pragma GCC ivdep
2022-11-23T01:32:36.8943256Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T01:32:36.8943367Z             {
2022-11-23T01:32:36.8943498Z                 #pragma GCC ivdep
2022-11-23T01:32:36.8943636Z                 for(long i2=0; i2<6; i2+=1)
2022-11-23T01:32:36.8943724Z                 {
2022-11-23T01:32:36.8943826Z                     {
2022-11-23T01:32:36.8943943Z                         {
2022-11-23T01:32:36.8944114Z                             auto tmp0 = static_cast<long>(((8*i1) / 3));
2022-11-23T01:32:36.8944300Z                             auto tmp1 = static_cast<long>(((21 + (16*i1)) / 6));
2022-11-23T01:32:36.8944551Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:36.8944721Z                             auto tmp3 = static_cast<long>(((8*i2) / 3));
2022-11-23T01:32:36.8944903Z                             auto tmp4 = static_cast<long>(((21 + (16*i2)) / 6));
2022-11-23T01:32:36.8945043Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T01:32:36.8945176Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T01:32:36.8945304Z                             float tmp7 = 0.0;
2022-11-23T01:32:36.8945419Z                             if(tmp6)
2022-11-23T01:32:36.8945530Z                             {
2022-11-23T01:32:36.8945712Z                                 auto tmp8 = in_ptr0[(16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:36.8945843Z                                 tmp7 = tmp8;
2022-11-23T01:32:36.8945937Z                             }
2022-11-23T01:32:36.8946100Z                             auto tmp9 = static_cast<long>(1 + (((8*i2) / 3)));
2022-11-23T01:32:36.8946246Z                             auto tmp10 = tmp9 < tmp4;
2022-11-23T01:32:36.8946383Z                             auto tmp11 = tmp2 & tmp10;
2022-11-23T01:32:36.8946515Z                             float tmp12 = 0.0;
2022-11-23T01:32:36.8946629Z                             if(tmp11)
2022-11-23T01:32:36.8946726Z                             {
2022-11-23T01:32:36.8946893Z                                 auto tmp13 = in_ptr0[1 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:36.8947013Z                                 tmp12 = tmp13;
2022-11-23T01:32:36.8947113Z                             }
2022-11-23T01:32:36.8947251Z                             auto tmp14 = tmp12 + tmp7;
2022-11-23T01:32:36.8947425Z                             auto tmp15 = static_cast<long>(2 + (((8*i2) / 3)));
2022-11-23T01:32:36.8947557Z                             auto tmp16 = tmp15 < tmp4;
2022-11-23T01:32:36.8947698Z                             auto tmp17 = tmp2 & tmp16;
2022-11-23T01:32:36.8947829Z                             float tmp18 = 0.0;
2022-11-23T01:32:36.8947922Z                             if(tmp17)
2022-11-23T01:32:36.8948022Z                             {
2022-11-23T01:32:36.8948199Z                                 auto tmp19 = in_ptr0[2 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:36.8948326Z                                 tmp18 = tmp19;
2022-11-23T01:32:36.8948428Z                             }
2022-11-23T01:32:36.8948561Z                             auto tmp20 = tmp18 + tmp14;
2022-11-23T01:32:36.8948724Z                             auto tmp21 = static_cast<long>(3 + (((8*i2) / 3)));
2022-11-23T01:32:36.8948847Z                             auto tmp22 = tmp21 < tmp4;
2022-11-23T01:32:36.8949052Z                             auto tmp23 = tmp2 & tmp22;
2022-11-23T01:32:36.8949173Z                             float tmp24 = 0.0;
2022-11-23T01:32:36.8949285Z                             if(tmp23)
2022-11-23T01:32:36.8949398Z                             {
2022-11-23T01:32:36.8949576Z                                 auto tmp25 = in_ptr0[3 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:36.8949700Z                                 tmp24 = tmp25;
2022-11-23T01:32:36.8949849Z                             }
2022-11-23T01:32:36.8949972Z                             auto tmp26 = tmp24 + tmp20;
2022-11-23T01:32:36.8950140Z                             auto tmp27 = static_cast<long>(1 + (((8*i1) / 3)));
2022-11-23T01:32:36.8950274Z                             auto tmp28 = tmp27 < tmp1;
2022-11-23T01:32:36.8950415Z                             auto tmp29 = tmp28 & tmp5;
2022-11-23T01:32:36.8950596Z                             float tmp30 = 0.0;
2022-11-23T01:32:36.8950793Z                             if(tmp29)
2022-11-23T01:32:36.8950895Z                             {
2022-11-23T01:32:36.8951071Z                                 auto tmp31 = in_ptr0[16 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:36.8951201Z                                 tmp30 = tmp31;
2022-11-23T01:32:36.8951307Z                             }
2022-11-23T01:32:36.8951450Z                             auto tmp32 = tmp30 + tmp26;
2022-11-23T01:32:36.8951604Z                             auto tmp33 = tmp28 & tmp10;
2022-11-23T01:32:36.8951741Z                             float tmp34 = 0.0;
2022-11-23T01:32:36.8951878Z                             if(tmp33)
2022-11-23T01:32:36.8951967Z                             {
2022-11-23T01:32:36.8952159Z                                 auto tmp35 = in_ptr0[17 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:36.8952292Z                                 tmp34 = tmp35;
2022-11-23T01:32:36.8952395Z                             }
2022-11-23T01:32:36.8952550Z                             auto tmp36 = tmp34 + tmp32;
2022-11-23T01:32:36.8952701Z                             auto tmp37 = tmp28 & tmp16;
2022-11-23T01:32:36.8952838Z                             float tmp38 = 0.0;
2022-11-23T01:32:36.8952960Z                             if(tmp37)
2022-11-23T01:32:36.8953061Z                             {
2022-11-23T01:32:36.8953253Z                                 auto tmp39 = in_ptr0[18 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:36.8953396Z                                 tmp38 = tmp39;
2022-11-23T01:32:36.8953497Z                             }
2022-11-23T01:32:36.8953640Z                             auto tmp40 = tmp38 + tmp36;
2022-11-23T01:32:36.8953780Z                             auto tmp41 = tmp28 & tmp22;
2022-11-23T01:32:36.8953924Z                             float tmp42 = 0.0;
2022-11-23T01:32:36.8954025Z                             if(tmp41)
2022-11-23T01:32:36.8954131Z                             {
2022-11-23T01:32:36.8954318Z                                 auto tmp43 = in_ptr0[19 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:36.8954455Z                                 tmp42 = tmp43;
2022-11-23T01:32:36.8954567Z                             }
2022-11-23T01:32:36.8954721Z                             auto tmp44 = tmp42 + tmp40;
2022-11-23T01:32:36.8954899Z                             auto tmp45 = static_cast<long>(2 + (((8*i1) / 3)));
2022-11-23T01:32:36.8955050Z                             auto tmp46 = tmp45 < tmp1;
2022-11-23T01:32:36.8955189Z                             auto tmp47 = tmp46 & tmp5;
2022-11-23T01:32:36.8955324Z                             float tmp48 = 0.0;
2022-11-23T01:32:36.8955439Z                             if(tmp47)
2022-11-23T01:32:36.8955545Z                             {
2022-11-23T01:32:36.8955734Z                                 auto tmp49 = in_ptr0[32 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:36.8955858Z                                 tmp48 = tmp49;
2022-11-23T01:32:36.8956025Z                             }
2022-11-23T01:32:36.8956165Z                             auto tmp50 = tmp48 + tmp44;
2022-11-23T01:32:36.8956315Z                             auto tmp51 = tmp46 & tmp10;
2022-11-23T01:32:36.8956447Z                             float tmp52 = 0.0;
2022-11-23T01:32:36.8956570Z                             if(tmp51)
2022-11-23T01:32:36.8956679Z                             {
2022-11-23T01:32:36.8956909Z                                 auto tmp53 = in_ptr0[33 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:36.8957046Z                                 tmp52 = tmp53;
2022-11-23T01:32:36.8957267Z                             }
2022-11-23T01:32:36.8957407Z                             auto tmp54 = tmp52 + tmp50;
2022-11-23T01:32:36.8957548Z                             auto tmp55 = tmp46 & tmp16;
2022-11-23T01:32:36.8957690Z                             float tmp56 = 0.0;
2022-11-23T01:32:36.8957808Z                             if(tmp55)
2022-11-23T01:32:36.8957913Z                             {
2022-11-23T01:32:36.8958100Z                                 auto tmp57 = in_ptr0[34 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:36.8958234Z                                 tmp56 = tmp57;
2022-11-23T01:32:36.8958322Z                             }
2022-11-23T01:32:36.8958464Z                             auto tmp58 = tmp56 + tmp54;
2022-11-23T01:32:36.8958610Z                             auto tmp59 = tmp46 & tmp22;
2022-11-23T01:32:36.8958750Z                             float tmp60 = 0.0;
2022-11-23T01:32:36.8958872Z                             if(tmp59)
2022-11-23T01:32:36.8958979Z                             {
2022-11-23T01:32:36.8959179Z                                 auto tmp61 = in_ptr0[35 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:36.8959309Z                                 tmp60 = tmp61;
2022-11-23T01:32:36.8959401Z                             }
2022-11-23T01:32:36.8959560Z                             auto tmp62 = tmp60 + tmp58;
2022-11-23T01:32:36.8959745Z                             auto tmp63 = static_cast<long>(3 + (((8*i1) / 3)));
2022-11-23T01:32:36.8959898Z                             auto tmp64 = tmp63 < tmp1;
2022-11-23T01:32:36.8960041Z                             auto tmp65 = tmp64 & tmp5;
2022-11-23T01:32:36.8960187Z                             float tmp66 = 0.0;
2022-11-23T01:32:36.8960313Z                             if(tmp65)
2022-11-23T01:32:36.8960406Z                             {
2022-11-23T01:32:36.8960594Z                                 auto tmp67 = in_ptr0[48 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:36.8960732Z                                 tmp66 = tmp67;
2022-11-23T01:32:36.8960848Z                             }
2022-11-23T01:32:36.8960989Z                             auto tmp68 = tmp66 + tmp62;
2022-11-23T01:32:36.8961138Z                             auto tmp69 = tmp64 & tmp10;
2022-11-23T01:32:36.8961268Z                             float tmp70 = 0.0;
2022-11-23T01:32:36.8961397Z                             if(tmp69)
2022-11-23T01:32:36.8961488Z                             {
2022-11-23T01:32:36.8961668Z                                 auto tmp71 = in_ptr0[49 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:36.8961799Z                                 tmp70 = tmp71;
2022-11-23T01:32:36.8961913Z                             }
2022-11-23T01:32:36.8962059Z                             auto tmp72 = tmp70 + tmp68;
2022-11-23T01:32:36.8962208Z                             auto tmp73 = tmp64 & tmp16;
2022-11-23T01:32:36.8962348Z                             float tmp74 = 0.0;
2022-11-23T01:32:36.8962448Z                             if(tmp73)
2022-11-23T01:32:36.8962551Z                             {
2022-11-23T01:32:36.8962730Z                                 auto tmp75 = in_ptr0[50 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:36.8962866Z                                 tmp74 = tmp75;
2022-11-23T01:32:36.8962974Z                             }
2022-11-23T01:32:36.8963238Z                             auto tmp76 = tmp74 + tmp72;
2022-11-23T01:32:36.8963385Z                             auto tmp77 = tmp64 & tmp22;
2022-11-23T01:32:36.8963502Z                             float tmp78 = 0.0;
2022-11-23T01:32:36.8963625Z                             if(tmp77)
2022-11-23T01:32:36.8963732Z                             {
2022-11-23T01:32:36.8963973Z                                 auto tmp79 = in_ptr0[51 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))];
2022-11-23T01:32:36.8964107Z                                 tmp78 = tmp79;
2022-11-23T01:32:36.8964221Z                             }
2022-11-23T01:32:36.8964365Z                             auto tmp80 = tmp78 + tmp76;
2022-11-23T01:32:36.8964508Z                             float tmp81 = 0.0;
2022-11-23T01:32:36.8964611Z                             if(tmp6)
2022-11-23T01:32:36.8964794Z                             {
2022-11-23T01:32:36.8965143Z                                 auto tmp82 = static_cast<float>(1);
2022-11-23T01:32:36.8965336Z                                 tmp81 = tmp82;
2022-11-23T01:32:36.8965481Z                             }
2022-11-23T01:32:36.8965663Z                             float tmp83 = 0.0;
2022-11-23T01:32:36.8965817Z                             if(tmp11)
2022-11-23T01:32:36.8965907Z                             {
2022-11-23T01:32:36.8966138Z                                 auto tmp84 = static_cast<float>(1);
2022-11-23T01:32:36.8966322Z                                 tmp83 = tmp84;
2022-11-23T01:32:36.8966473Z                             }
2022-11-23T01:32:36.8966686Z                             auto tmp85 = tmp83 + tmp81;
2022-11-23T01:32:36.8966877Z                             float tmp86 = 0.0;
2022-11-23T01:32:36.8967038Z                             if(tmp17)
2022-11-23T01:32:36.8967129Z                             {
2022-11-23T01:32:36.8967338Z                                 auto tmp87 = static_cast<float>(1);
2022-11-23T01:32:36.8967505Z                                 tmp86 = tmp87;
2022-11-23T01:32:36.8967658Z                             }
2022-11-23T01:32:36.8967980Z                             auto tmp88 = tmp86 + tmp85;
2022-11-23T01:32:36.8968147Z                             float tmp89 = 0.0;
2022-11-23T01:32:36.8968309Z                             if(tmp23)
2022-11-23T01:32:36.8968481Z                             {
2022-11-23T01:32:36.8968642Z                                 auto tmp90 = static_cast<float>(1);
2022-11-23T01:32:36.8968822Z                                 tmp89 = tmp90;
2022-11-23T01:32:36.8968996Z                             }
2022-11-23T01:32:36.8969175Z                             auto tmp91 = tmp89 + tmp88;
2022-11-23T01:32:36.8969358Z                             float tmp92 = 0.0;
2022-11-23T01:32:36.8969509Z                             if(tmp29)
2022-11-23T01:32:36.8969657Z                             {
2022-11-23T01:32:36.8969806Z                                 auto tmp93 = static_cast<float>(1);
2022-11-23T01:32:36.8969964Z                                 tmp92 = tmp93;
2022-11-23T01:32:36.8970121Z                             }
2022-11-23T01:32:36.8970330Z                             auto tmp94 = tmp92 + tmp91;
2022-11-23T01:32:36.8970518Z                             float tmp95 = 0.0;
2022-11-23T01:32:36.8970675Z                             if(tmp33)
2022-11-23T01:32:36.8970819Z                             {
2022-11-23T01:32:36.8970969Z                                 auto tmp96 = static_cast<float>(1);
2022-11-23T01:32:36.8971146Z                                 tmp95 = tmp96;
2022-11-23T01:32:36.8971284Z                             }
2022-11-23T01:32:36.8971453Z                             auto tmp97 = tmp95 + tmp94;
2022-11-23T01:32:36.8971649Z                             float tmp98 = 0.0;
2022-11-23T01:32:36.8971798Z                             if(tmp37)
2022-11-23T01:32:36.8971958Z                             {
2022-11-23T01:32:36.8972109Z                                 auto tmp99 = static_cast<float>(1);
2022-11-23T01:32:36.8972345Z                                 tmp98 = tmp99;
2022-11-23T01:32:36.8972553Z                             }
2022-11-23T01:32:36.8972734Z                             auto tmp100 = tmp98 + tmp97;
2022-11-23T01:32:36.8972934Z                             float tmp101 = 0.0;
2022-11-23T01:32:36.8973088Z                             if(tmp41)
2022-11-23T01:32:36.8973225Z                             {
2022-11-23T01:32:36.8973377Z                                 auto tmp102 = static_cast<float>(1);
2022-11-23T01:32:36.8973597Z                                 tmp101 = tmp102;
2022-11-23T01:32:36.8973734Z                             }
2022-11-23T01:32:36.8973913Z                             auto tmp103 = tmp101 + tmp100;
2022-11-23T01:32:36.8974086Z                             float tmp104 = 0.0;
2022-11-23T01:32:36.8974225Z                             if(tmp47)
2022-11-23T01:32:36.8974388Z                             {
2022-11-23T01:32:36.8974584Z                                 auto tmp105 = static_cast<float>(1);
2022-11-23T01:32:36.8974703Z                                 tmp104 = tmp105;
2022-11-23T01:32:36.8974846Z                             }
2022-11-23T01:32:36.8975022Z                             auto tmp106 = tmp104 + tmp103;
2022-11-23T01:32:36.8975194Z                             float tmp107 = 0.0;
2022-11-23T01:32:36.8975400Z                             if(tmp51)
2022-11-23T01:32:36.8975529Z                             {
2022-11-23T01:32:36.8975753Z                                 auto tmp108 = static_cast<float>(1);
2022-11-23T01:32:36.8975875Z                                 tmp107 = tmp108;
2022-11-23T01:32:36.8976009Z                             }
2022-11-23T01:32:36.8976207Z                             auto tmp109 = tmp107 + tmp106;
2022-11-23T01:32:36.8976377Z                             float tmp110 = 0.0;
2022-11-23T01:32:36.8976520Z                             if(tmp55)
2022-11-23T01:32:36.8976650Z                             {
2022-11-23T01:32:36.8976855Z                                 auto tmp111 = static_cast<float>(1);
2022-11-23T01:32:36.8976975Z                                 tmp110 = tmp111;
2022-11-23T01:32:36.8977137Z                             }
2022-11-23T01:32:36.8977323Z                             auto tmp112 = tmp110 + tmp109;
2022-11-23T01:32:36.8977505Z                             float tmp113 = 0.0;
2022-11-23T01:32:36.8977649Z                             if(tmp59)
2022-11-23T01:32:36.8977788Z                             {
2022-11-23T01:32:36.8977997Z                                 auto tmp114 = static_cast<float>(1);
2022-11-23T01:32:36.8978107Z                                 tmp113 = tmp114;
2022-11-23T01:32:36.8978280Z                             }
2022-11-23T01:32:36.8978450Z                             auto tmp115 = tmp113 + tmp112;
2022-11-23T01:32:36.8978657Z                             float tmp116 = 0.0;
2022-11-23T01:32:36.8978835Z                             if(tmp65)
2022-11-23T01:32:36.8978968Z                             {
2022-11-23T01:32:36.8979196Z                                 auto tmp117 = static_cast<float>(1);
2022-11-23T01:32:36.8979320Z                                 tmp116 = tmp117;
2022-11-23T01:32:36.8979473Z                             }
2022-11-23T01:32:36.8979704Z                             auto tmp118 = tmp116 + tmp115;
2022-11-23T01:32:36.8979884Z                             float tmp119 = 0.0;
2022-11-23T01:32:36.8980050Z                             if(tmp69)
2022-11-23T01:32:36.8980190Z                             {
2022-11-23T01:32:36.8980414Z                                 auto tmp120 = static_cast<float>(1);
2022-11-23T01:32:36.8980543Z                                 tmp119 = tmp120;
2022-11-23T01:32:36.8980691Z                             }
2022-11-23T01:32:36.8980891Z                             auto tmp121 = tmp119 + tmp118;
2022-11-23T01:32:36.8981076Z                             float tmp122 = 0.0;
2022-11-23T01:32:36.8981297Z                             if(tmp73)
2022-11-23T01:32:36.8981473Z                             {
2022-11-23T01:32:36.8981770Z                                 auto tmp123 = static_cast<float>(1);
2022-11-23T01:32:36.8981957Z                                 tmp122 = tmp123;
2022-11-23T01:32:36.8982052Z                             }
2022-11-23T01:32:36.8982245Z                             auto tmp124 = tmp122 + tmp121;
2022-11-23T01:32:36.8982462Z                             float tmp125 = 0.0;
2022-11-23T01:32:36.8982616Z                             if(tmp77)
2022-11-23T01:32:36.8982853Z                             {
2022-11-23T01:32:36.8983070Z                                 auto tmp126 = static_cast<float>(1);
2022-11-23T01:32:36.8983338Z                                 tmp125 = tmp126;
2022-11-23T01:32:36.8983443Z                             }
2022-11-23T01:32:36.8983641Z                             auto tmp127 = tmp125 + tmp124;
2022-11-23T01:32:36.8983841Z                             auto tmp128 = tmp80 / tmp127;
2022-11-23T01:32:36.8984053Z                             out_ptr0[i2 + (6*i1) + (36*i0)] = tmp128;
2022-11-23T01:32:36.8984235Z                         }
2022-11-23T01:32:36.8984417Z                     }
2022-11-23T01:32:36.8984632Z                 }
2022-11-23T01:32:36.8984721Z             }
2022-11-23T01:32:36.8984853Z         }
2022-11-23T01:32:36.8985081Z         #pragma omp for 
2022-11-23T01:32:36.8985279Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:36.8985426Z         {
2022-11-23T01:32:36.8985757Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:36.8986020Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:36.8986223Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:36.8986368Z             tmp2.store(out_ptr1 + 16*i0);
2022-11-23T01:32:36.8986511Z         }
2022-11-23T01:32:36.8986697Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:36.8986888Z         for(long i0=2048; i0<2048; i0+=1)
2022-11-23T01:32:36.8987023Z         {
2022-11-23T01:32:36.8987219Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:36.8987356Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:36.8987524Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:36.8987713Z             out_ptr1[i0] = tmp2;
2022-11-23T01:32:36.8987839Z         }
2022-11-23T01:32:36.8987970Z     }
2022-11-23T01:32:36.8988089Z }
2022-11-23T01:32:36.8988284Z ''')
2022-11-23T01:32:36.8988292Z 
2022-11-23T01:32:36.8988296Z 
2022-11-23T01:32:36.8988501Z async_compile.wait(globals())
2022-11-23T01:32:36.8988602Z del async_compile
2022-11-23T01:32:36.8988613Z 
2022-11-23T01:32:36.8988749Z def call(args):
2022-11-23T01:32:36.8988887Z     arg0_1, = args
2022-11-23T01:32:36.8989141Z     args.clear()
2022-11-23T01:32:36.8989521Z     buf0 = empty_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8989884Z     buf1 = empty_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8990193Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:36.8990291Z     del arg0_1
2022-11-23T01:32:36.8990490Z     buf2 = aten._adaptive_avg_pool2d(buf1, [2, 5])
2022-11-23T01:32:36.8990619Z     del buf1
2022-11-23T01:32:36.8990756Z     buf3 = buf2
2022-11-23T01:32:36.8991008Z     assert_size_stride(buf3, (2, 4, 2, 5), (40, 10, 5, 1))
2022-11-23T01:32:36.8991136Z     del buf2
2022-11-23T01:32:36.8991288Z     return (buf0, buf3, )
2022-11-23T01:32:36.8991296Z 
2022-11-23T01:32:36.8991304Z 
2022-11-23T01:32:36.8991501Z if __name__ == "__main__":
2022-11-23T01:32:36.8991709Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.8991918Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.8992290Z     arg0_1 = rand_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.8992480Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:36.8993086Z [2022-11-23 01:14:01,434] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6y/c6ylcmqisx7apzd5jqm2wn62f2qfxibg6wn5rlxh3jpxwghjriyr.py
2022-11-23T01:32:36.8993595Z [2022-11-23 01:14:01,434] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 6
2022-11-23T01:32:36.8994018Z [2022-11-23 01:14:01,444] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:36.8994484Z [2022-11-23 01:14:01,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:36.8994871Z [2022-11-23 01:14:01,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:36.8995321Z [2022-11-23 01:14:01,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:36.8995802Z [2022-11-23 01:14:01,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:36.8996366Z [2022-11-23 01:14:01,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:36.8996942Z [2022-11-23 01:14:01,445] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f640a150, file "inductor/test_torchinductor.py", line 1915> 
2022-11-23T01:32:36.8997306Z  1916           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:36.8997526Z                2 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:32:36.8997722Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:36.8997891Z                6 LOAD_CONST               1 ((6, 6))
2022-11-23T01:32:36.8998009Z                8 CALL_METHOD              2
2022-11-23T01:32:36.8998179Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:36.8998413Z               12 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:32:36.8998420Z 
2022-11-23T01:32:36.8998589Z 1917          14 LOAD_FAST                0 (x)
2022-11-23T01:32:36.8998751Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:36.8998908Z               18 BINARY_ADD
2022-11-23T01:32:36.8999078Z               20 LOAD_CONST               3 ((2, 5))
2022-11-23T01:32:36.8999186Z               22 CALL_METHOD              2
2022-11-23T01:32:36.8999349Z               24 BUILD_TUPLE              2
2022-11-23T01:32:36.8999500Z               26 RETURN_VALUE
2022-11-23T01:32:36.8999727Z  
2022-11-23T01:32:36.8999736Z 
2022-11-23T01:32:36.9000213Z [2022-11-23 01:14:01,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1916
2022-11-23T01:32:36.9000617Z [2022-11-23 01:14:01,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:36.9001162Z [2022-11-23 01:14:01,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:36.9001631Z [2022-11-23 01:14:01,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:32:36.9002158Z [2022-11-23 01:14:01,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (6, 6) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:36.9002703Z [2022-11-23 01:14:01,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:36.9003162Z [2022-11-23 01:14:01,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:36.9003779Z [2022-11-23 01:14:01,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:36.9004663Z [2022-11-23 01:14:01,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1917
2022-11-23T01:32:36.9007454Z [2022-11-23 01:14:01,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:32:36.9008220Z [2022-11-23 01:14:01,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:36.9011435Z [2022-11-23 01:14:01,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:36.9012376Z [2022-11-23 01:14:01,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 5) [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:36.9013971Z [2022-11-23 01:14:01,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:36.9014440Z [2022-11-23 01:14:01,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9014874Z [2022-11-23 01:14:01,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.9015513Z [2022-11-23 01:14:01,475] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f640a150, file "inductor/test_torchinductor.py", line 1915>
2022-11-23T01:32:36.9016059Z [2022-11-23 01:14:01,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.9017136Z [2022-11-23 01:14:01,475] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:36.9019263Z [2022-11-23 01:14:01,477] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:36.9021016Z [2022-11-23 01:14:01,485] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:36.9022869Z [2022-11-23 01:14:01,486] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:36.9023459Z  __compiled_fn_7 <eval_with_key>.59 opcode, name, target, args, kwargs
2022-11-23T01:32:36.9023637Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:36.9023903Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (6, 6)), {}
2022-11-23T01:32:36.9024210Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:36.9024408Z call_function, _adaptive_avg_pool2d_1, aten._adaptive_avg_pool2d, (add, (2, 5)), {}
2022-11-23T01:32:36.9024864Z output, output, output, ((_adaptive_avg_pool2d, _adaptive_avg_pool2d_1),), {}
2022-11-23T01:32:36.9024873Z 
2022-11-23T01:32:36.9026265Z [2022-11-23 01:14:01,487] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9026532Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:36.9027198Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9027414Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:36.9027864Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:36.9028344Z               8 RETURN_VALUE
2022-11-23T01:32:36.9028357Z 
2022-11-23T01:32:36.9028844Z  
2022-11-23T01:32:36.9030934Z [2022-11-23 01:14:01,487] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9031990Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_7)
2022-11-23T01:32:36.9032883Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9033841Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9034078Z               6 BINARY_SUBSCR
2022-11-23T01:32:36.9034558Z               8 CALL_FUNCTION            1
2022-11-23T01:32:36.9035322Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:36.9035609Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.9035801Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9035945Z              16 BINARY_SUBSCR
2022-11-23T01:32:36.9036131Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.9036381Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:36.9036569Z              22 BINARY_SUBSCR
2022-11-23T01:32:36.9036857Z              24 BUILD_TUPLE              2
2022-11-23T01:32:36.9036951Z              26 RETURN_VALUE
2022-11-23T01:32:36.9036959Z 
2022-11-23T01:32:36.9037081Z  
2022-11-23T01:32:36.9037584Z [2022-11-23 01:14:01,488] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:36.9037760Z  - 
2022-11-23T01:32:36.9038060Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:36.9038193Z             {
2022-11-23T01:32:36.9038486Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:36.9038744Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:36.9039032Z                 'obj_weakref': None
2022-11-23T01:32:36.9039554Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:36.9039685Z             }
2022-11-23T01:32:36.9039814Z             
2022-11-23T01:32:36.9039951Z  - 
2022-11-23T01:32:36.9040174Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:36.9040253Z             {
2022-11-23T01:32:36.9040539Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.9040813Z                 'code': None,
2022-11-23T01:32:36.9041165Z                 'obj_weakref': <weakref at 0x7f7106bdb8f0; to 'Tensor' at 0x7f7129fbc890>
2022-11-23T01:32:36.9041595Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.9041725Z             }
2022-11-23T01:32:36.9041897Z             
2022-11-23T01:32:36.9041986Z  - 
2022-11-23T01:32:36.9042219Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:36.9042386Z             {
2022-11-23T01:32:36.9042654Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:36.9042945Z                 'code': ['___check_obj_id(model, 140124016795376)'],
2022-11-23T01:32:36.9043160Z                 'obj_weakref': None
2022-11-23T01:32:36.9043592Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:36.9043674Z             }
2022-11-23T01:32:36.9043810Z             
2022-11-23T01:32:36.9044837Z  - 
2022-11-23T01:32:36.9047991Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:36.9049306Z             {
2022-11-23T01:32:36.9050276Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:36.9052822Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:36.9053126Z                 'obj_weakref': None
2022-11-23T01:32:36.9053833Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:36.9053962Z             }
2022-11-23T01:32:36.9054150Z             
2022-11-23T01:32:36.9054513Z  - 
2022-11-23T01:32:36.9054772Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:36.9054895Z             {
2022-11-23T01:32:36.9055189Z                 'guard_types': None,
2022-11-23T01:32:36.9055486Z                 'code': None,
2022-11-23T01:32:36.9055703Z                 'obj_weakref': None
2022-11-23T01:32:36.9056043Z                 'guarded_class': None
2022-11-23T01:32:36.9056399Z             }
2022-11-23T01:32:36.9056650Z             
2022-11-23T01:32:36.9057400Z [2022-11-23 01:14:01,498] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 7
2022-11-23T01:32:36.9057411Z 
2022-11-23T01:32:36.9057421Z 
2022-11-23T01:32:36.9057955Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.9058357Z import torch
2022-11-23T01:32:36.9058900Z import random
2022-11-23T01:32:36.9060084Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.9061170Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.9061178Z 
2022-11-23T01:32:36.9061858Z aten = torch.ops.aten
2022-11-23T01:32:36.9062659Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.9063794Z async_compile = AsyncCompile()
2022-11-23T01:32:36.9063973Z 
2022-11-23T01:32:36.9063981Z 
2022-11-23T01:32:36.9064934Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.9066339Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.9067005Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:36.9079101Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:36.9226099Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:36.9226332Z {
2022-11-23T01:32:36.9226599Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.9226730Z     {
2022-11-23T01:32:36.9226809Z         #pragma omp for 
2022-11-23T01:32:36.9226926Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:36.9227042Z         {
2022-11-23T01:32:36.9227200Z             #pragma GCC ivdep
2022-11-23T01:32:36.9227373Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T01:32:36.9227501Z             {
2022-11-23T01:32:36.9227620Z                 #pragma GCC ivdep
2022-11-23T01:32:36.9227709Z                 for(long i2=0; i2<6; i2+=1)
2022-11-23T01:32:36.9227807Z                 {
2022-11-23T01:32:36.9227941Z                     {
2022-11-23T01:32:36.9228089Z                         {
2022-11-23T01:32:36.9228236Z                             auto tmp0 = static_cast<long>((i1 / 2));
2022-11-23T01:32:36.9228382Z                             auto tmp1 = static_cast<long>(((8 + (3*i1)) / 6));
2022-11-23T01:32:36.9228558Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:36.9228658Z                             auto tmp3 = static_cast<long>((i2 / 2));
2022-11-23T01:32:36.9228802Z                             auto tmp4 = static_cast<long>(((8 + (3*i2)) / 6));
2022-11-23T01:32:36.9228925Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T01:32:36.9229046Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T01:32:36.9229163Z                             float tmp7 = 0.0;
2022-11-23T01:32:36.9229295Z                             if(tmp6)
2022-11-23T01:32:36.9229393Z                             {
2022-11-23T01:32:36.9229501Z                                 auto tmp8 = in_ptr0[(3*(i1 / 2)) + (9*i0) + (i2 / 2)];
2022-11-23T01:32:36.9229623Z                                 tmp7 = tmp8;
2022-11-23T01:32:36.9229723Z                             }
2022-11-23T01:32:36.9229868Z                             auto tmp9 = static_cast<long>(1 + (i2 / 2));
2022-11-23T01:32:36.9229997Z                             auto tmp10 = tmp9 < tmp4;
2022-11-23T01:32:36.9230150Z                             auto tmp11 = tmp2 & tmp10;
2022-11-23T01:32:36.9230268Z                             float tmp12 = 0.0;
2022-11-23T01:32:36.9230332Z                             if(tmp11)
2022-11-23T01:32:36.9230450Z                             {
2022-11-23T01:32:36.9230606Z                                 auto tmp13 = in_ptr0[1 + (3*(i1 / 2)) + (9*i0) + (i2 / 2)];
2022-11-23T01:32:36.9230720Z                                 tmp12 = tmp13;
2022-11-23T01:32:36.9230820Z                             }
2022-11-23T01:32:36.9230944Z                             auto tmp14 = tmp12 + tmp7;
2022-11-23T01:32:36.9231086Z                             auto tmp15 = static_cast<long>(1 + (i1 / 2));
2022-11-23T01:32:36.9231211Z                             auto tmp16 = tmp15 < tmp1;
2022-11-23T01:32:36.9231293Z                             auto tmp17 = tmp16 & tmp5;
2022-11-23T01:32:36.9231410Z                             float tmp18 = 0.0;
2022-11-23T01:32:36.9231545Z                             if(tmp17)
2022-11-23T01:32:36.9231645Z                             {
2022-11-23T01:32:36.9231791Z                                 auto tmp19 = in_ptr0[3 + (3*(i1 / 2)) + (9*i0) + (i2 / 2)];
2022-11-23T01:32:36.9231923Z                                 tmp18 = tmp19;
2022-11-23T01:32:36.9232316Z                             }
2022-11-23T01:32:36.9232464Z                             auto tmp20 = tmp18 + tmp14;
2022-11-23T01:32:36.9232689Z                             auto tmp21 = tmp16 & tmp10;
2022-11-23T01:32:36.9233215Z                             float tmp22 = 0.0;
2022-11-23T01:32:36.9233366Z                             if(tmp21)
2022-11-23T01:32:36.9233465Z                             {
2022-11-23T01:32:36.9233709Z                                 auto tmp23 = in_ptr0[4 + (3*(i1 / 2)) + (9*i0) + (i2 / 2)];
2022-11-23T01:32:36.9233882Z                                 tmp22 = tmp23;
2022-11-23T01:32:36.9233958Z                             }
2022-11-23T01:32:36.9234138Z                             auto tmp24 = tmp22 + tmp20;
2022-11-23T01:32:36.9234256Z                             float tmp25 = 0.0;
2022-11-23T01:32:36.9234361Z                             if(tmp6)
2022-11-23T01:32:36.9234493Z                             {
2022-11-23T01:32:36.9234635Z                                 auto tmp26 = static_cast<float>(1);
2022-11-23T01:32:36.9234748Z                                 tmp25 = tmp26;
2022-11-23T01:32:36.9234845Z                             }
2022-11-23T01:32:36.9234924Z                             float tmp27 = 0.0;
2022-11-23T01:32:36.9235028Z                             if(tmp11)
2022-11-23T01:32:36.9235124Z                             {
2022-11-23T01:32:36.9235261Z                                 auto tmp28 = static_cast<float>(1);
2022-11-23T01:32:36.9235413Z                                 tmp27 = tmp28;
2022-11-23T01:32:36.9235530Z                             }
2022-11-23T01:32:36.9235656Z                             auto tmp29 = tmp27 + tmp25;
2022-11-23T01:32:36.9235733Z                             float tmp30 = 0.0;
2022-11-23T01:32:36.9235860Z                             if(tmp17)
2022-11-23T01:32:36.9236209Z                             {
2022-11-23T01:32:36.9236472Z                                 auto tmp31 = static_cast<float>(1);
2022-11-23T01:32:36.9236663Z                                 tmp30 = tmp31;
2022-11-23T01:32:36.9236842Z                             }
2022-11-23T01:32:36.9237376Z                             auto tmp32 = tmp30 + tmp29;
2022-11-23T01:32:36.9237511Z                             float tmp33 = 0.0;
2022-11-23T01:32:36.9237662Z                             if(tmp21)
2022-11-23T01:32:36.9237814Z                             {
2022-11-23T01:32:36.9238016Z                                 auto tmp34 = static_cast<float>(1);
2022-11-23T01:32:36.9238185Z                                 tmp33 = tmp34;
2022-11-23T01:32:36.9238349Z                             }
2022-11-23T01:32:36.9238725Z                             auto tmp35 = tmp33 + tmp32;
2022-11-23T01:32:36.9238876Z                             auto tmp36 = tmp24 / tmp35;
2022-11-23T01:32:36.9239088Z                             out_ptr0[i2 + (6*i1) + (36*i0)] = tmp36;
2022-11-23T01:32:36.9239226Z                         }
2022-11-23T01:32:36.9239369Z                     }
2022-11-23T01:32:36.9239515Z                 }
2022-11-23T01:32:36.9239643Z             }
2022-11-23T01:32:36.9239736Z         }
2022-11-23T01:32:36.9239829Z         #pragma omp for 
2022-11-23T01:32:36.9240284Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:36.9240524Z         {
2022-11-23T01:32:36.9240723Z             #pragma GCC ivdep
2022-11-23T01:32:36.9240900Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:36.9241061Z             {
2022-11-23T01:32:36.9241243Z                 #pragma GCC ivdep
2022-11-23T01:32:36.9241383Z                 for(long i2=0; i2<5; i2+=1)
2022-11-23T01:32:36.9241527Z                 {
2022-11-23T01:32:36.9241647Z                     {
2022-11-23T01:32:36.9241770Z                         {
2022-11-23T01:32:36.9241913Z                             auto tmp0 = static_cast<long>(((3*i1) / 2));
2022-11-23T01:32:36.9242088Z                             auto tmp1 = static_cast<long>(2 + (((3*i1) / 2)));
2022-11-23T01:32:36.9242214Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:36.9242318Z                             auto tmp3 = static_cast<long>(((3*i2) / 5));
2022-11-23T01:32:36.9242462Z                             auto tmp4 = static_cast<long>(((7 + (3*i2)) / 5));
2022-11-23T01:32:36.9242685Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T01:32:36.9242806Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T01:32:36.9242923Z                             float tmp7 = 0.0;
2022-11-23T01:32:36.9243048Z                             if(tmp6)
2022-11-23T01:32:36.9243149Z                             {
2022-11-23T01:32:36.9243264Z                                 auto tmp8 = in_ptr0[(3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))];
2022-11-23T01:32:36.9243455Z                                 auto tmp9 = static_cast<float>(1);
2022-11-23T01:32:36.9243586Z                                 auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:36.9243707Z                                 tmp7 = tmp10;
2022-11-23T01:32:36.9243804Z                             }
2022-11-23T01:32:36.9243950Z                             auto tmp11 = static_cast<long>(1 + (((3*i2) / 5)));
2022-11-23T01:32:36.9244076Z                             auto tmp12 = tmp11 < tmp4;
2022-11-23T01:32:36.9244267Z                             auto tmp13 = tmp2 & tmp12;
2022-11-23T01:32:36.9244345Z                             float tmp14 = 0.0;
2022-11-23T01:32:36.9244448Z                             if(tmp13)
2022-11-23T01:32:36.9244547Z                             {
2022-11-23T01:32:36.9244707Z                                 auto tmp15 = in_ptr0[1 + (3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))];
2022-11-23T01:32:36.9244847Z                                 auto tmp16 = static_cast<float>(1);
2022-11-23T01:32:36.9244980Z                                 auto tmp17 = tmp15 + tmp16;
2022-11-23T01:32:36.9245096Z                                 tmp14 = tmp17;
2022-11-23T01:32:36.9245152Z                             }
2022-11-23T01:32:36.9245277Z                             auto tmp18 = tmp14 + tmp7;
2022-11-23T01:32:36.9245439Z                             auto tmp19 = static_cast<long>(1 + (((3*i1) / 2)));
2022-11-23T01:32:36.9245568Z                             auto tmp20 = tmp19 < tmp1;
2022-11-23T01:32:36.9245700Z                             auto tmp21 = tmp20 & tmp5;
2022-11-23T01:32:36.9245821Z                             float tmp22 = 0.0;
2022-11-23T01:32:36.9245931Z                             if(tmp21)
2022-11-23T01:32:36.9245989Z                             {
2022-11-23T01:32:36.9246140Z                                 auto tmp23 = in_ptr0[3 + (3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))];
2022-11-23T01:32:36.9246278Z                                 auto tmp24 = static_cast<float>(1);
2022-11-23T01:32:36.9246407Z                                 auto tmp25 = tmp23 + tmp24;
2022-11-23T01:32:36.9246567Z                                 tmp22 = tmp25;
2022-11-23T01:32:36.9246673Z                             }
2022-11-23T01:32:36.9246799Z                             auto tmp26 = tmp22 + tmp18;
2022-11-23T01:32:36.9246921Z                             auto tmp27 = tmp20 & tmp12;
2022-11-23T01:32:36.9246997Z                             float tmp28 = 0.0;
2022-11-23T01:32:36.9247103Z                             if(tmp27)
2022-11-23T01:32:36.9247206Z                             {
2022-11-23T01:32:36.9247360Z                                 auto tmp29 = in_ptr0[4 + (3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))];
2022-11-23T01:32:36.9247497Z                                 auto tmp30 = static_cast<float>(1);
2022-11-23T01:32:36.9247652Z                                 auto tmp31 = tmp29 + tmp30;
2022-11-23T01:32:36.9247766Z                                 tmp28 = tmp31;
2022-11-23T01:32:36.9247822Z                             }
2022-11-23T01:32:36.9247950Z                             auto tmp32 = tmp28 + tmp26;
2022-11-23T01:32:36.9248068Z                             float tmp33 = 0.0;
2022-11-23T01:32:36.9248173Z                             if(tmp6)
2022-11-23T01:32:36.9248270Z                             {
2022-11-23T01:32:36.9248406Z                                 auto tmp34 = static_cast<float>(1);
2022-11-23T01:32:36.9248558Z                                 tmp33 = tmp34;
2022-11-23T01:32:36.9248615Z                             }
2022-11-23T01:32:36.9248784Z                             float tmp35 = 0.0;
2022-11-23T01:32:36.9248889Z                             if(tmp13)
2022-11-23T01:32:36.9248986Z                             {
2022-11-23T01:32:36.9249125Z                                 auto tmp36 = static_cast<float>(1);
2022-11-23T01:32:36.9249237Z                                 tmp35 = tmp36;
2022-11-23T01:32:36.9249341Z                             }
2022-11-23T01:32:36.9249456Z                             auto tmp37 = tmp35 + tmp33;
2022-11-23T01:32:36.9249574Z                             float tmp38 = 0.0;
2022-11-23T01:32:36.9249678Z                             if(tmp21)
2022-11-23T01:32:36.9249794Z                             {
2022-11-23T01:32:36.9249932Z                                 auto tmp39 = static_cast<float>(1);
2022-11-23T01:32:36.9250055Z                                 tmp38 = tmp39;
2022-11-23T01:32:36.9250153Z                             }
2022-11-23T01:32:36.9250284Z                             auto tmp40 = tmp38 + tmp37;
2022-11-23T01:32:36.9250361Z                             float tmp41 = 0.0;
2022-11-23T01:32:36.9250465Z                             if(tmp27)
2022-11-23T01:32:36.9250592Z                             {
2022-11-23T01:32:36.9250727Z                                 auto tmp42 = static_cast<float>(1);
2022-11-23T01:32:36.9250857Z                                 tmp41 = tmp42;
2022-11-23T01:32:36.9250955Z                             }
2022-11-23T01:32:36.9251081Z                             auto tmp43 = tmp41 + tmp40;
2022-11-23T01:32:36.9251165Z                             auto tmp44 = tmp32 / tmp43;
2022-11-23T01:32:36.9251303Z                             out_ptr1[i2 + (5*i1) + (10*i0)] = tmp44;
2022-11-23T01:32:36.9251400Z                         }
2022-11-23T01:32:36.9251494Z                     }
2022-11-23T01:32:36.9251588Z                 }
2022-11-23T01:32:36.9251681Z             }
2022-11-23T01:32:36.9251792Z         }
2022-11-23T01:32:36.9251841Z     }
2022-11-23T01:32:36.9251928Z }
2022-11-23T01:32:36.9252132Z ''')
2022-11-23T01:32:36.9252140Z 
2022-11-23T01:32:36.9252145Z 
2022-11-23T01:32:36.9252267Z async_compile.wait(globals())
2022-11-23T01:32:36.9252367Z del async_compile
2022-11-23T01:32:36.9252373Z 
2022-11-23T01:32:36.9252503Z def call(args):
2022-11-23T01:32:36.9252599Z     arg0_1, = args
2022-11-23T01:32:36.9252658Z     args.clear()
2022-11-23T01:32:36.9252915Z     buf0 = empty_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9253181Z     buf1 = empty_strided((2, 4, 2, 5), (40, 10, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9253386Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:36.9253483Z     del arg0_1
2022-11-23T01:32:36.9253589Z     return (buf0, buf1, )
2022-11-23T01:32:36.9253594Z 
2022-11-23T01:32:36.9253598Z 
2022-11-23T01:32:36.9253702Z if __name__ == "__main__":
2022-11-23T01:32:36.9253844Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.9253956Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.9254194Z     arg0_1 = rand_strided((2, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9254330Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:36.9254765Z [2022-11-23 01:14:04,371] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cv/ccv76jv6gza6clytklrxepsvrmub3pyeb2rjwdwz4rcyhocyeoug.py
2022-11-23T01:32:36.9255060Z [2022-11-23 01:14:04,372] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 7
2022-11-23T01:32:36.9255328Z [2022-11-23 01:14:04,381] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:36.9255624Z [2022-11-23 01:14:04,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:36.9255867Z [2022-11-23 01:14:04,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:36.9256179Z [2022-11-23 01:14:04,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:36.9256496Z [2022-11-23 01:14:04,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:36.9256857Z [2022-11-23 01:14:04,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:36.9257243Z [2022-11-23 01:14:04,382] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f640a150, file "inductor/test_torchinductor.py", line 1915> 
2022-11-23T01:32:36.9257390Z  1916           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:36.9257531Z                2 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:32:36.9257652Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9257775Z                6 LOAD_CONST               1 ((6, 6))
2022-11-23T01:32:36.9257895Z                8 CALL_METHOD              2
2022-11-23T01:32:36.9257974Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:36.9258119Z               12 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:32:36.9258126Z 
2022-11-23T01:32:36.9258244Z 1917          14 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9258360Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:36.9258482Z               18 BINARY_ADD
2022-11-23T01:32:36.9258606Z               20 LOAD_CONST               3 ((2, 5))
2022-11-23T01:32:36.9258720Z               22 CALL_METHOD              2
2022-11-23T01:32:36.9258796Z               24 BUILD_TUPLE              2
2022-11-23T01:32:36.9258933Z               26 RETURN_VALUE
2022-11-23T01:32:36.9259029Z  
2022-11-23T01:32:36.9259034Z 
2022-11-23T01:32:36.9259336Z [2022-11-23 01:14:04,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1916
2022-11-23T01:32:36.9259582Z [2022-11-23 01:14:04,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:36.9259944Z [2022-11-23 01:14:04,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:36.9260265Z [2022-11-23 01:14:04,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:32:36.9260602Z [2022-11-23 01:14:04,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (6, 6) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:36.9260981Z [2022-11-23 01:14:04,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:36.9261264Z [2022-11-23 01:14:04,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:36.9261609Z [2022-11-23 01:14:04,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:36.9261908Z [2022-11-23 01:14:04,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1917
2022-11-23T01:32:36.9262233Z [2022-11-23 01:14:04,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:32:36.9262591Z [2022-11-23 01:14:04,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:36.9262996Z [2022-11-23 01:14:04,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:36.9263379Z [2022-11-23 01:14:04,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 5) [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:36.9263826Z [2022-11-23 01:14:04,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:36.9264151Z [2022-11-23 01:14:04,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9264555Z [2022-11-23 01:14:04,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.9264926Z [2022-11-23 01:14:04,413] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f640a150, file "inductor/test_torchinductor.py", line 1915>
2022-11-23T01:32:36.9265201Z [2022-11-23 01:14:04,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.9265423Z [2022-11-23 01:14:04,413] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:36.9265733Z [2022-11-23 01:14:04,415] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:36.9266021Z [2022-11-23 01:14:04,421] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:36.9266262Z [2022-11-23 01:14:04,421] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:36.9266425Z  __compiled_fn_8 <eval_with_key>.65 opcode, name, target, args, kwargs
2022-11-23T01:32:36.9266546Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:36.9266721Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (6, 6)), {}
2022-11-23T01:32:36.9266923Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:36.9267060Z call_function, _adaptive_avg_pool2d_1, aten._adaptive_avg_pool2d, (add, (2, 5)), {}
2022-11-23T01:32:36.9267232Z output, output, output, ((_adaptive_avg_pool2d, _adaptive_avg_pool2d_1),), {}
2022-11-23T01:32:36.9267238Z 
2022-11-23T01:32:36.9267550Z [2022-11-23 01:14:04,422] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9267673Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:36.9267815Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9267969Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:36.9268089Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:36.9268192Z               8 RETURN_VALUE
2022-11-23T01:32:36.9268198Z 
2022-11-23T01:32:36.9268248Z  
2022-11-23T01:32:36.9268554Z [2022-11-23 01:14:04,422] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9268693Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_8)
2022-11-23T01:32:36.9268814Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9268944Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9269069Z               6 BINARY_SUBSCR
2022-11-23T01:32:36.9269187Z               8 CALL_FUNCTION            1
2022-11-23T01:32:36.9269319Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:36.9269408Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.9269526Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9269638Z              16 BINARY_SUBSCR
2022-11-23T01:32:36.9269765Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.9269883Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:36.9269989Z              22 BINARY_SUBSCR
2022-11-23T01:32:36.9270154Z              24 BUILD_TUPLE              2
2022-11-23T01:32:36.9270219Z              26 RETURN_VALUE
2022-11-23T01:32:36.9270223Z 
2022-11-23T01:32:36.9270310Z  
2022-11-23T01:32:36.9270526Z [2022-11-23 01:14:04,424] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:36.9270634Z  - 
2022-11-23T01:32:36.9270782Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:36.9270874Z             {
2022-11-23T01:32:36.9271080Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:36.9271253Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:36.9271404Z                 'obj_weakref': None
2022-11-23T01:32:36.9271676Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:36.9271769Z             }
2022-11-23T01:32:36.9271867Z             
2022-11-23T01:32:36.9271963Z  - 
2022-11-23T01:32:36.9272146Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:36.9272198Z             {
2022-11-23T01:32:36.9272369Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.9272506Z                 'code': None,
2022-11-23T01:32:36.9272773Z                 'obj_weakref': <weakref at 0x7f7106bd1e90; to 'Tensor' at 0x7f7129fbc890>
2022-11-23T01:32:36.9273075Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.9273168Z             }
2022-11-23T01:32:36.9273261Z             
2022-11-23T01:32:36.9273317Z  - 
2022-11-23T01:32:36.9273475Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:36.9273568Z             {
2022-11-23T01:32:36.9273730Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:36.9273927Z                 'code': ['___check_obj_id(model, 140124016795376)'],
2022-11-23T01:32:36.9274082Z                 'obj_weakref': None
2022-11-23T01:32:36.9274360Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:36.9274412Z             }
2022-11-23T01:32:36.9274503Z             
2022-11-23T01:32:36.9274603Z  - 
2022-11-23T01:32:36.9274752Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:36.9274843Z             {
2022-11-23T01:32:36.9275006Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:36.9275289Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:36.9275394Z                 'obj_weakref': None
2022-11-23T01:32:36.9275643Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:36.9275751Z             }
2022-11-23T01:32:36.9275843Z             
2022-11-23T01:32:36.9275941Z  - 
2022-11-23T01:32:36.9276099Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:36.9276191Z             {
2022-11-23T01:32:36.9276296Z                 'guard_types': None,
2022-11-23T01:32:36.9276441Z                 'code': None,
2022-11-23T01:32:36.9276587Z                 'obj_weakref': None
2022-11-23T01:32:36.9276736Z                 'guarded_class': None
2022-11-23T01:32:36.9276847Z             }
2022-11-23T01:32:36.9276938Z             
2022-11-23T01:32:36.9277637Z [2022-11-23 01:14:04,434] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 8
2022-11-23T01:32:36.9277649Z 
2022-11-23T01:32:36.9277657Z 
2022-11-23T01:32:36.9277783Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.9277902Z import torch
2022-11-23T01:32:36.9278057Z import random
2022-11-23T01:32:36.9278292Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.9278557Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.9278565Z 
2022-11-23T01:32:36.9278740Z aten = torch.ops.aten
2022-11-23T01:32:36.9279004Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.9279211Z async_compile = AsyncCompile()
2022-11-23T01:32:36.9279220Z 
2022-11-23T01:32:36.9279229Z 
2022-11-23T01:32:36.9279491Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.9279871Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.9280138Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:36.9280352Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:36.9280550Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:36.9280683Z {
2022-11-23T01:32:36.9280812Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.9280950Z     {
2022-11-23T01:32:36.9281055Z         #pragma omp for 
2022-11-23T01:32:36.9281166Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:36.9281265Z         {
2022-11-23T01:32:36.9281373Z             #pragma GCC ivdep
2022-11-23T01:32:36.9281484Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:36.9281614Z             {
2022-11-23T01:32:36.9281683Z                 #pragma GCC ivdep
2022-11-23T01:32:36.9281866Z                 for(long i2=0; i2<5; i2+=1)
2022-11-23T01:32:36.9281962Z                 {
2022-11-23T01:32:36.9282069Z                     {
2022-11-23T01:32:36.9282166Z                         {
2022-11-23T01:32:36.9282303Z                             auto tmp0 = static_cast<long>(3*i1);
2022-11-23T01:32:36.9282445Z                             auto tmp1 = static_cast<long>(3 + (3*i1));
2022-11-23T01:32:36.9282529Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:36.9282672Z                             auto tmp3 = static_cast<long>(((6*i2) / 5));
2022-11-23T01:32:36.9282817Z                             auto tmp4 = static_cast<long>(2 + (((6*i2) / 5)));
2022-11-23T01:32:36.9282960Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T01:32:36.9283094Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T01:32:36.9283209Z                             float tmp7 = 0.0;
2022-11-23T01:32:36.9283314Z                             if(tmp6)
2022-11-23T01:32:36.9283371Z                             {
2022-11-23T01:32:36.9283520Z                                 auto tmp8 = in_ptr0[(18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T01:32:36.9283656Z                                 auto tmp9 = static_cast<float>(1);
2022-11-23T01:32:36.9283817Z                                 auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:36.9283933Z                                 tmp7 = tmp10;
2022-11-23T01:32:36.9284062Z                             }
2022-11-23T01:32:36.9284206Z                             auto tmp11 = static_cast<long>(1 + (((6*i2) / 5)));
2022-11-23T01:32:36.9284336Z                             auto tmp12 = tmp11 < tmp4;
2022-11-23T01:32:36.9284420Z                             auto tmp13 = tmp2 & tmp12;
2022-11-23T01:32:36.9284538Z                             float tmp14 = 0.0;
2022-11-23T01:32:36.9284642Z                             if(tmp13)
2022-11-23T01:32:36.9284740Z                             {
2022-11-23T01:32:36.9284894Z                                 auto tmp15 = in_ptr0[1 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T01:32:36.9285039Z                                 auto tmp16 = static_cast<float>(1);
2022-11-23T01:32:36.9285188Z                                 auto tmp17 = tmp15 + tmp16;
2022-11-23T01:32:36.9285262Z                                 tmp14 = tmp17;
2022-11-23T01:32:36.9285361Z                             }
2022-11-23T01:32:36.9285484Z                             auto tmp18 = tmp14 + tmp7;
2022-11-23T01:32:36.9285623Z                             auto tmp19 = static_cast<long>(1 + (3*i1));
2022-11-23T01:32:36.9285749Z                             auto tmp20 = tmp19 < tmp1;
2022-11-23T01:32:36.9285899Z                             auto tmp21 = tmp20 & tmp5;
2022-11-23T01:32:36.9286022Z                             float tmp22 = 0.0;
2022-11-23T01:32:36.9286127Z                             if(tmp21)
2022-11-23T01:32:36.9286184Z                             {
2022-11-23T01:32:36.9286347Z                                 auto tmp23 = in_ptr0[6 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T01:32:36.9286486Z                                 auto tmp24 = static_cast<float>(1);
2022-11-23T01:32:36.9286617Z                                 auto tmp25 = tmp23 + tmp24;
2022-11-23T01:32:36.9286730Z                                 tmp22 = tmp25;
2022-11-23T01:32:36.9286827Z                             }
2022-11-23T01:32:36.9286959Z                             auto tmp26 = tmp22 + tmp18;
2022-11-23T01:32:36.9287043Z                             auto tmp27 = tmp20 & tmp12;
2022-11-23T01:32:36.9287159Z                             float tmp28 = 0.0;
2022-11-23T01:32:36.9287297Z                             if(tmp27)
2022-11-23T01:32:36.9287414Z                             {
2022-11-23T01:32:36.9287561Z                                 auto tmp29 = in_ptr0[7 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T01:32:36.9287698Z                                 auto tmp30 = static_cast<float>(1);
2022-11-23T01:32:36.9287824Z                                 auto tmp31 = tmp29 + tmp30;
2022-11-23T01:32:36.9287938Z                                 tmp28 = tmp31;
2022-11-23T01:32:36.9288064Z                             }
2022-11-23T01:32:36.9288187Z                             auto tmp32 = tmp28 + tmp26;
2022-11-23T01:32:36.9288326Z                             auto tmp33 = static_cast<long>(2 + (3*i1));
2022-11-23T01:32:36.9288452Z                             auto tmp34 = tmp33 < tmp1;
2022-11-23T01:32:36.9288594Z                             auto tmp35 = tmp34 & tmp5;
2022-11-23T01:32:36.9288709Z                             float tmp36 = 0.0;
2022-11-23T01:32:36.9288825Z                             if(tmp35)
2022-11-23T01:32:36.9288883Z                             {
2022-11-23T01:32:36.9289032Z                                 auto tmp37 = in_ptr0[12 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T01:32:36.9289170Z                                 auto tmp38 = static_cast<float>(1);
2022-11-23T01:32:36.9289297Z                                 auto tmp39 = tmp37 + tmp38;
2022-11-23T01:32:36.9289414Z                                 tmp36 = tmp39;
2022-11-23T01:32:36.9289511Z                             }
2022-11-23T01:32:36.9289655Z                             auto tmp40 = tmp36 + tmp32;
2022-11-23T01:32:36.9289739Z                             auto tmp41 = tmp34 & tmp12;
2022-11-23T01:32:36.9289859Z                             float tmp42 = 0.0;
2022-11-23T01:32:36.9289963Z                             if(tmp41)
2022-11-23T01:32:36.9290091Z                             {
2022-11-23T01:32:36.9290238Z                                 auto tmp43 = in_ptr0[13 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T01:32:36.9290377Z                                 auto tmp44 = static_cast<float>(1);
2022-11-23T01:32:36.9290502Z                                 auto tmp45 = tmp43 + tmp44;
2022-11-23T01:32:36.9290615Z                                 tmp42 = tmp45;
2022-11-23T01:32:36.9290672Z                             }
2022-11-23T01:32:36.9290824Z                             auto tmp46 = tmp42 + tmp40;
2022-11-23T01:32:36.9290951Z                             auto tmp47 = tmp1 < tmp1;
2022-11-23T01:32:36.9291074Z                             auto tmp48 = tmp47 & tmp5;
2022-11-23T01:32:36.9291188Z                             float tmp49 = 0.0;
2022-11-23T01:32:36.9291293Z                             if(tmp48)
2022-11-23T01:32:36.9291389Z                             {
2022-11-23T01:32:36.9291492Z                                 auto tmp50 = in_ptr0[18 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T01:32:36.9291628Z                                 auto tmp51 = static_cast<float>(1);
2022-11-23T01:32:36.9291763Z                                 auto tmp52 = tmp50 + tmp51;
2022-11-23T01:32:36.9291894Z                                 tmp49 = tmp52;
2022-11-23T01:32:36.9291990Z                             }
2022-11-23T01:32:36.9292114Z                             auto tmp53 = tmp49 + tmp46;
2022-11-23T01:32:36.9292269Z                             auto tmp54 = tmp47 & tmp12;
2022-11-23T01:32:36.9292344Z                             float tmp55 = 0.0;
2022-11-23T01:32:36.9292451Z                             if(tmp54)
2022-11-23T01:32:36.9292548Z                             {
2022-11-23T01:32:36.9292703Z                                 auto tmp56 = in_ptr0[19 + (18*i1) + (36*i0) + (((6*i2) / 5))];
2022-11-23T01:32:36.9292842Z                                 auto tmp57 = static_cast<float>(1);
2022-11-23T01:32:36.9292987Z                                 auto tmp58 = tmp56 + tmp57;
2022-11-23T01:32:36.9293103Z                                 tmp55 = tmp58;
2022-11-23T01:32:36.9293191Z                             }
2022-11-23T01:32:36.9293315Z                             auto tmp59 = tmp55 + tmp53;
2022-11-23T01:32:36.9293429Z                             float tmp60 = 0.0;
2022-11-23T01:32:36.9293533Z                             if(tmp6)
2022-11-23T01:32:36.9293638Z                             {
2022-11-23T01:32:36.9293772Z                                 auto tmp61 = static_cast<float>(1);
2022-11-23T01:32:36.9293885Z                                 tmp60 = tmp61;
2022-11-23T01:32:36.9294033Z                             }
2022-11-23T01:32:36.9294108Z                             float tmp62 = 0.0;
2022-11-23T01:32:36.9294251Z                             if(tmp13)
2022-11-23T01:32:36.9294348Z                             {
2022-11-23T01:32:36.9294491Z                                 auto tmp63 = static_cast<float>(1);
2022-11-23T01:32:36.9294603Z                                 tmp62 = tmp63;
2022-11-23T01:32:36.9294698Z                             }
2022-11-23T01:32:36.9294827Z                             auto tmp64 = tmp62 + tmp60;
2022-11-23T01:32:36.9294903Z                             float tmp65 = 0.0;
2022-11-23T01:32:36.9295007Z                             if(tmp21)
2022-11-23T01:32:36.9295123Z                             {
2022-11-23T01:32:36.9295258Z                                 auto tmp66 = static_cast<float>(1);
2022-11-23T01:32:36.9295377Z                                 tmp65 = tmp66;
2022-11-23T01:32:36.9295475Z                             }
2022-11-23T01:32:36.9295599Z                             auto tmp67 = tmp65 + tmp64;
2022-11-23T01:32:36.9295673Z                             float tmp68 = 0.0;
2022-11-23T01:32:36.9295778Z                             if(tmp27)
2022-11-23T01:32:36.9295874Z                             {
2022-11-23T01:32:36.9296013Z                                 auto tmp69 = static_cast<float>(1);
2022-11-23T01:32:36.9296144Z                                 tmp68 = tmp69;
2022-11-23T01:32:36.9296275Z                             }
2022-11-23T01:32:36.9296402Z                             auto tmp70 = tmp68 + tmp67;
2022-11-23T01:32:36.9296476Z                             float tmp71 = 0.0;
2022-11-23T01:32:36.9296578Z                             if(tmp35)
2022-11-23T01:32:36.9296676Z                             {
2022-11-23T01:32:36.9296812Z                                 auto tmp72 = static_cast<float>(1);
2022-11-23T01:32:36.9296923Z                                 tmp71 = tmp72;
2022-11-23T01:32:36.9297019Z                             }
2022-11-23T01:32:36.9297171Z                             auto tmp73 = tmp71 + tmp70;
2022-11-23T01:32:36.9297245Z                             float tmp74 = 0.0;
2022-11-23T01:32:36.9297348Z                             if(tmp41)
2022-11-23T01:32:36.9297445Z                             {
2022-11-23T01:32:36.9297582Z                                 auto tmp75 = static_cast<float>(1);
2022-11-23T01:32:36.9297694Z                                 tmp74 = tmp75;
2022-11-23T01:32:36.9297791Z                             }
2022-11-23T01:32:36.9297917Z                             auto tmp76 = tmp74 + tmp73;
2022-11-23T01:32:36.9297989Z                             float tmp77 = 0.0;
2022-11-23T01:32:36.9298100Z                             if(tmp48)
2022-11-23T01:32:36.9298244Z                             {
2022-11-23T01:32:36.9298380Z                                 auto tmp78 = static_cast<float>(1);
2022-11-23T01:32:36.9298492Z                                 tmp77 = tmp78;
2022-11-23T01:32:36.9298590Z                             }
2022-11-23T01:32:36.9298713Z                             auto tmp79 = tmp77 + tmp76;
2022-11-23T01:32:36.9298787Z                             float tmp80 = 0.0;
2022-11-23T01:32:36.9298893Z                             if(tmp54)
2022-11-23T01:32:36.9299000Z                             {
2022-11-23T01:32:36.9299135Z                                 auto tmp81 = static_cast<float>(1);
2022-11-23T01:32:36.9299264Z                                 tmp80 = tmp81;
2022-11-23T01:32:36.9299360Z                             }
2022-11-23T01:32:36.9299518Z                             auto tmp82 = tmp80 + tmp79;
2022-11-23T01:32:36.9299642Z                             auto tmp83 = tmp59 / tmp82;
2022-11-23T01:32:36.9299733Z                             out_ptr0[i2 + (5*i1) + (10*i0)] = tmp83;
2022-11-23T01:32:36.9299828Z                         }
2022-11-23T01:32:36.9299929Z                     }
2022-11-23T01:32:36.9300021Z                 }
2022-11-23T01:32:36.9300142Z             }
2022-11-23T01:32:36.9300284Z         }
2022-11-23T01:32:36.9300351Z         #pragma omp for 
2022-11-23T01:32:36.9300461Z         for(long i0=0; i0<18; i0+=1)
2022-11-23T01:32:36.9300552Z         {
2022-11-23T01:32:36.9300969Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:36.9301095Z             tmp0.store(out_ptr1 + 16*i0);
2022-11-23T01:32:36.9301185Z         }
2022-11-23T01:32:36.9301377Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:36.9301448Z         for(long i0=288; i0<288; i0+=1)
2022-11-23T01:32:36.9301761Z         {
2022-11-23T01:32:36.9301942Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:36.9302061Z             out_ptr1[i0] = tmp0;
2022-11-23T01:32:36.9302351Z         }
2022-11-23T01:32:36.9302491Z     }
2022-11-23T01:32:36.9302640Z }
2022-11-23T01:32:36.9302824Z ''')
2022-11-23T01:32:36.9302834Z 
2022-11-23T01:32:36.9302897Z 
2022-11-23T01:32:36.9303047Z async_compile.wait(globals())
2022-11-23T01:32:36.9303292Z del async_compile
2022-11-23T01:32:36.9303300Z 
2022-11-23T01:32:36.9303409Z def call(args):
2022-11-23T01:32:36.9303512Z     arg0_1, = args
2022-11-23T01:32:36.9303619Z     args.clear()
2022-11-23T01:32:36.9303875Z     buf0 = empty_strided((2, 4, 2, 5), (40, 10, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9304116Z     buf1 = empty_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9304270Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:36.9304370Z     del arg0_1
2022-11-23T01:32:36.9304553Z     return (buf1, buf0, )
2022-11-23T01:32:36.9304559Z 
2022-11-23T01:32:36.9304564Z 
2022-11-23T01:32:36.9304696Z if __name__ == "__main__":
2022-11-23T01:32:36.9304840Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.9304999Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.9305245Z     arg0_1 = rand_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9305384Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:36.9305753Z [2022-11-23 01:14:07,255] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rw/crwxpigdrgjz5hxkwlibrgs5mclbg6xj6vjx2pyjqq5zeup7yxcn.py
2022-11-23T01:32:36.9306045Z [2022-11-23 01:14:07,256] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 8
2022-11-23T01:32:36.9306050Z 
2022-11-23T01:32:36.9306145Z ok (9.208s)
2022-11-23T01:32:36.9306503Z   test_adaptive_avg_pool2d2_cpu (__main__.CpuTests) ... [2022-11-23 01:14:07,270] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:36.9306850Z [2022-11-23 01:14:07,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:36.9307105Z [2022-11-23 01:14:07,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:36.9307389Z [2022-11-23 01:14:07,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:36.9307708Z [2022-11-23 01:14:07,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:36.9308063Z [2022-11-23 01:14:07,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:36.9308424Z [2022-11-23 01:14:07,271] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f640a300, file "inductor/test_torchinductor.py", line 1940> 
2022-11-23T01:32:36.9308565Z  1941           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:36.9308708Z                2 LOAD_METHOD              1 (_adaptive_avg_pool2d)
2022-11-23T01:32:36.9308827Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9308981Z                6 LOAD_CONST               1 ((4, 4))
2022-11-23T01:32:36.9309101Z                8 CALL_METHOD              2
2022-11-23T01:32:36.9309244Z               10 RETURN_VALUE
2022-11-23T01:32:36.9309332Z  
2022-11-23T01:32:36.9309337Z 
2022-11-23T01:32:36.9309594Z [2022-11-23 01:14:07,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1941
2022-11-23T01:32:36.9309839Z [2022-11-23 01:14:07,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:36.9310195Z [2022-11-23 01:14:07,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:36.9310534Z [2022-11-23 01:14:07,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)]
2022-11-23T01:32:36.9310883Z [2022-11-23 01:14:07,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (4, 4) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()]
2022-11-23T01:32:36.9311287Z [2022-11-23 01:14:07,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:36.9311569Z [2022-11-23 01:14:07,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:36.9311930Z [2022-11-23 01:14:07,289] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f640a300, file "inductor/test_torchinductor.py", line 1940>
2022-11-23T01:32:36.9312207Z [2022-11-23 01:14:07,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:36.9312472Z [2022-11-23 01:14:07,290] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:36.9312714Z [2022-11-23 01:14:07,292] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:36.9313003Z [2022-11-23 01:14:07,297] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:36.9313219Z [2022-11-23 01:14:07,297] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:36.9313381Z  __compiled_fn_9 <eval_with_key>.71 opcode, name, target, args, kwargs
2022-11-23T01:32:36.9313523Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:36.9313700Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (4, 4)), {}
2022-11-23T01:32:36.9313845Z output, output, output, ((_adaptive_avg_pool2d,),), {}
2022-11-23T01:32:36.9313852Z 
2022-11-23T01:32:36.9314157Z [2022-11-23 01:14:07,298] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9314288Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:36.9314365Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9314484Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:36.9314634Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:36.9314741Z               8 RETURN_VALUE
2022-11-23T01:32:36.9314747Z 
2022-11-23T01:32:36.9314854Z  
2022-11-23T01:32:36.9315161Z [2022-11-23 01:14:07,298] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9315297Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_9)
2022-11-23T01:32:36.9315373Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9315499Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9315605Z               6 BINARY_SUBSCR
2022-11-23T01:32:36.9315722Z               8 CALL_FUNCTION            1
2022-11-23T01:32:36.9315876Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:36.9315985Z              12 RETURN_VALUE
2022-11-23T01:32:36.9315990Z 
2022-11-23T01:32:36.9316098Z  
2022-11-23T01:32:36.9316311Z [2022-11-23 01:14:07,300] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:36.9316368Z  - 
2022-11-23T01:32:36.9316523Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:36.9316615Z             {
2022-11-23T01:32:36.9316783Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:36.9317063Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:36.9317591Z                 'obj_weakref': None
2022-11-23T01:32:36.9318026Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:36.9318107Z             }
2022-11-23T01:32:36.9318301Z             
2022-11-23T01:32:36.9318699Z  - 
2022-11-23T01:32:36.9318979Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:36.9319156Z             {
2022-11-23T01:32:36.9319430Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.9319575Z                 'code': None,
2022-11-23T01:32:36.9319961Z                 'obj_weakref': <weakref at 0x7f71066d89b0; to 'Tensor' at 0x7f7106bdbfb0>
2022-11-23T01:32:36.9320427Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.9320577Z             }
2022-11-23T01:32:36.9320715Z             
2022-11-23T01:32:36.9320890Z  - 
2022-11-23T01:32:36.9321152Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:36.9321296Z             {
2022-11-23T01:32:36.9321527Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:36.9321920Z                 'code': ['___check_obj_id(model, 140124010755280)'],
2022-11-23T01:32:36.9322222Z                 'obj_weakref': None
2022-11-23T01:32:36.9322697Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:36.9322840Z             }
2022-11-23T01:32:36.9322940Z             
2022-11-23T01:32:36.9323039Z  - 
2022-11-23T01:32:36.9323168Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:36.9323277Z             {
2022-11-23T01:32:36.9323446Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:36.9323694Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:36.9323872Z                 'obj_weakref': None
2022-11-23T01:32:36.9324123Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:36.9324214Z             }
2022-11-23T01:32:36.9324265Z             
2022-11-23T01:32:36.9324362Z  - 
2022-11-23T01:32:36.9324641Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:36.9324908Z             {
2022-11-23T01:32:36.9325221Z                 'guard_types': None,
2022-11-23T01:32:36.9325513Z                 'code': None,
2022-11-23T01:32:36.9325699Z                 'obj_weakref': None
2022-11-23T01:32:36.9325857Z                 'guarded_class': None
2022-11-23T01:32:36.9325962Z             }
2022-11-23T01:32:36.9326058Z             
2022-11-23T01:32:36.9326530Z [2022-11-23 01:14:07,309] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 9
2022-11-23T01:32:36.9327020Z [2022-11-23 01:14:07,314] torch._inductor.ir: [WARNING] Using FallbackKernel: aten._adaptive_avg_pool2d
2022-11-23T01:32:36.9327656Z [2022-11-23 01:14:07,318] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4s/c4sf74dyl7kpt6x4hawiicof5w4s36wvhwsoqd24mk7oi7ecao3p.py
2022-11-23T01:32:36.9328166Z [2022-11-23 01:14:07,318] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 9
2022-11-23T01:32:36.9328178Z 
2022-11-23T01:32:36.9328385Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.9328493Z import torch
2022-11-23T01:32:36.9328654Z import random
2022-11-23T01:32:36.9328901Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.9329156Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.9329297Z 
2022-11-23T01:32:36.9329473Z aten = torch.ops.aten
2022-11-23T01:32:36.9329784Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.9329997Z async_compile = AsyncCompile()
2022-11-23T01:32:36.9330007Z 
2022-11-23T01:32:36.9330015Z 
2022-11-23T01:32:36.9330162Z async_compile.wait(globals())
2022-11-23T01:32:36.9330354Z del async_compile
2022-11-23T01:32:36.9330362Z 
2022-11-23T01:32:36.9330598Z def call(args):
2022-11-23T01:32:36.9330767Z     arg0_1, = args
2022-11-23T01:32:36.9330931Z     args.clear()
2022-11-23T01:32:36.9331153Z     buf0 = aten._adaptive_avg_pool2d(arg0_1, [4, 4])
2022-11-23T01:32:36.9331287Z     del arg0_1
2022-11-23T01:32:36.9331344Z     buf1 = buf0
2022-11-23T01:32:36.9331509Z     assert_size_stride(buf1, (2, 4, 4, 4), (64, 16, 4, 1))
2022-11-23T01:32:36.9331608Z     del buf0
2022-11-23T01:32:36.9331707Z     return (buf1, )
2022-11-23T01:32:36.9331712Z 
2022-11-23T01:32:36.9331719Z 
2022-11-23T01:32:36.9331824Z if __name__ == "__main__":
2022-11-23T01:32:36.9331965Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.9332116Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.9332374Z     arg0_1 = rand_strided((2, 4, 21, 21), (1764, 441, 21, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9332470Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:36.9332474Z 
2022-11-23T01:32:36.9332578Z ok (0.059s)
2022-11-23T01:32:36.9332949Z   test_add_const_float_cpu (__main__.CpuTests) ... [2022-11-23 01:14:07,326] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:36.9333286Z [2022-11-23 01:14:07,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:36.9333532Z [2022-11-23 01:14:07,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:36.9333813Z [2022-11-23 01:14:07,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:36.9334129Z [2022-11-23 01:14:07,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:36.9334485Z [2022-11-23 01:14:07,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:36.9334844Z [2022-11-23 01:14:07,327] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6468390, file "inductor/test_torchinductor.py", line 649> 
2022-11-23T01:32:36.9334924Z  650           0 LOAD_FAST                0 (a)
2022-11-23T01:32:36.9335045Z               2 LOAD_CONST               1 (1.5)
2022-11-23T01:32:36.9335167Z               4 BINARY_ADD
2022-11-23T01:32:36.9335286Z               6 BUILD_TUPLE              1
2022-11-23T01:32:36.9335389Z               8 RETURN_VALUE
2022-11-23T01:32:36.9335480Z  
2022-11-23T01:32:36.9335485Z 
2022-11-23T01:32:36.9335788Z [2022-11-23 01:14:07,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:650
2022-11-23T01:32:36.9336032Z [2022-11-23 01:14:07,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:36.9336260Z [2022-11-23 01:14:07,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.5 [TensorVariable()]
2022-11-23T01:32:36.9336571Z [2022-11-23 01:14:07,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:36.9336841Z [2022-11-23 01:14:07,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:36.9337162Z [2022-11-23 01:14:07,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.9337516Z [2022-11-23 01:14:07,330] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6468390, file "inductor/test_torchinductor.py", line 649>
2022-11-23T01:32:36.9337828Z [2022-11-23 01:14:07,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.9338097Z [2022-11-23 01:14:07,330] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:36.9338379Z [2022-11-23 01:14:07,332] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:36.9338687Z [2022-11-23 01:14:07,337] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:36.9338865Z [2022-11-23 01:14:07,337] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:36.9339028Z  __compiled_fn_10 <eval_with_key>.77 opcode, name, target, args, kwargs
2022-11-23T01:32:36.9339143Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:36.9339370Z call_function, add, <built-in function add>, (ex_0_, 1.5), {}
2022-11-23T01:32:36.9339494Z output, output, output, ((add,),), {}
2022-11-23T01:32:36.9339500Z 
2022-11-23T01:32:36.9339813Z [2022-11-23 01:14:07,338] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9339936Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:36.9340054Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9340133Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:36.9340254Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:36.9340358Z               8 RETURN_VALUE
2022-11-23T01:32:36.9340364Z 
2022-11-23T01:32:36.9340480Z  
2022-11-23T01:32:36.9340809Z [2022-11-23 01:14:07,338] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9340953Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_10)
2022-11-23T01:32:36.9341071Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9341189Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9341253Z               6 BINARY_SUBSCR
2022-11-23T01:32:36.9341371Z               8 CALL_FUNCTION            1
2022-11-23T01:32:36.9341502Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:36.9341632Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.9341749Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9341880Z              16 BINARY_SUBSCR
2022-11-23T01:32:36.9341996Z              18 BUILD_TUPLE              1
2022-11-23T01:32:36.9342060Z              20 RETURN_VALUE
2022-11-23T01:32:36.9342067Z 
2022-11-23T01:32:36.9342156Z  
2022-11-23T01:32:36.9342366Z [2022-11-23 01:14:07,340] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:36.9342462Z  - 
2022-11-23T01:32:36.9342607Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:36.9342737Z             {
2022-11-23T01:32:36.9342910Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:36.9343083Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:36.9343250Z                 'obj_weakref': None
2022-11-23T01:32:36.9343504Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:36.9343598Z             }
2022-11-23T01:32:36.9343688Z             
2022-11-23T01:32:36.9343786Z  - 
2022-11-23T01:32:36.9343937Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:36.9343988Z             {
2022-11-23T01:32:36.9344165Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.9344300Z                 'code': None,
2022-11-23T01:32:36.9344658Z                 'obj_weakref': <weakref at 0x7f7106681350; to 'Tensor' at 0x7f710668d650>
2022-11-23T01:32:36.9344943Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.9345035Z             }
2022-11-23T01:32:36.9345126Z             
2022-11-23T01:32:36.9345183Z  - 
2022-11-23T01:32:36.9345343Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:36.9345442Z             {
2022-11-23T01:32:36.9345673Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:36.9345868Z                 'code': ['___check_obj_id(model, 140123420818752)'],
2022-11-23T01:32:36.9346034Z                 'obj_weakref': None
2022-11-23T01:32:36.9346291Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:36.9346342Z             }
2022-11-23T01:32:36.9346434Z             
2022-11-23T01:32:36.9346540Z  - 
2022-11-23T01:32:36.9346721Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:36.9346819Z             {
2022-11-23T01:32:36.9346983Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:36.9347229Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:36.9347334Z                 'obj_weakref': None
2022-11-23T01:32:36.9347600Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:36.9347692Z             }
2022-11-23T01:32:36.9347793Z             
2022-11-23T01:32:36.9348080Z [2022-11-23 01:14:07,347] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 10
2022-11-23T01:32:36.9348516Z [2022-11-23 01:14:09,910] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k5/ck5clbcmp6mzitsnutwebas6pkqspjw4u2k7kg2cqddxtljyzawm.py
2022-11-23T01:32:36.9348805Z [2022-11-23 01:14:09,911] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 10
2022-11-23T01:32:36.9348814Z 
2022-11-23T01:32:36.9348936Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.9348993Z import torch
2022-11-23T01:32:36.9349090Z import random
2022-11-23T01:32:36.9349251Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.9349409Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.9349415Z 
2022-11-23T01:32:36.9349522Z aten = torch.ops.aten
2022-11-23T01:32:36.9349684Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.9349808Z async_compile = AsyncCompile()
2022-11-23T01:32:36.9349813Z 
2022-11-23T01:32:36.9349817Z 
2022-11-23T01:32:36.9349979Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.9350171Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.9350318Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:36.9350446Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:36.9350561Z {
2022-11-23T01:32:36.9350689Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.9350780Z     {
2022-11-23T01:32:36.9350885Z         #pragma omp for 
2022-11-23T01:32:36.9350953Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:36.9351077Z         {
2022-11-23T01:32:36.9351250Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:36.9351414Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1.5));
2022-11-23T01:32:36.9351536Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:36.9351679Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:36.9351770Z         }
2022-11-23T01:32:36.9351893Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:36.9351963Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:32:36.9352054Z         {
2022-11-23T01:32:36.9352165Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:36.9352295Z             auto tmp1 = static_cast<float>(1.5);
2022-11-23T01:32:36.9352417Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:36.9352529Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:36.9352579Z         }
2022-11-23T01:32:36.9352687Z     }
2022-11-23T01:32:36.9352773Z }
2022-11-23T01:32:36.9352882Z ''')
2022-11-23T01:32:36.9352887Z 
2022-11-23T01:32:36.9352891Z 
2022-11-23T01:32:36.9353045Z async_compile.wait(globals())
2022-11-23T01:32:36.9353147Z del async_compile
2022-11-23T01:32:36.9353152Z 
2022-11-23T01:32:36.9353255Z def call(args):
2022-11-23T01:32:36.9353352Z     arg0_1, = args
2022-11-23T01:32:36.9353447Z     args.clear()
2022-11-23T01:32:36.9353673Z     buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9353855Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:36.9353953Z     del arg0_1
2022-11-23T01:32:36.9354053Z     return (buf0, )
2022-11-23T01:32:36.9354058Z 
2022-11-23T01:32:36.9354063Z 
2022-11-23T01:32:36.9354174Z if __name__ == "__main__":
2022-11-23T01:32:36.9354355Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.9354465Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.9354691Z     arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9354826Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:36.9354831Z 
2022-11-23T01:32:36.9354926Z ok (2.594s)
2022-11-23T01:32:36.9355289Z   test_add_const_int_cpu (__main__.CpuTests) ... [2022-11-23 01:14:09,922] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:36.9355596Z [2022-11-23 01:14:09,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:36.9355877Z [2022-11-23 01:14:09,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:36.9356159Z [2022-11-23 01:14:09,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:36.9356479Z [2022-11-23 01:14:09,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:36.9356792Z [2022-11-23 01:14:09,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:36.9357336Z [2022-11-23 01:14:09,923] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6468270, file "inductor/test_torchinductor.py", line 643> 
2022-11-23T01:32:36.9357616Z  644           0 LOAD_FAST                0 (a)
2022-11-23T01:32:36.9357777Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:36.9358069Z               4 BINARY_ADD
2022-11-23T01:32:36.9358276Z               6 BUILD_TUPLE              1
2022-11-23T01:32:36.9358653Z               8 RETURN_VALUE
2022-11-23T01:32:36.9358801Z  
2022-11-23T01:32:36.9358809Z 
2022-11-23T01:32:36.9359172Z [2022-11-23 01:14:09,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:644
2022-11-23T01:32:36.9359460Z [2022-11-23 01:14:09,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:36.9359852Z [2022-11-23 01:14:09,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:36.9360365Z [2022-11-23 01:14:09,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:36.9360809Z [2022-11-23 01:14:09,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:36.9361278Z [2022-11-23 01:14:09,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.9361915Z [2022-11-23 01:14:09,927] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6468270, file "inductor/test_torchinductor.py", line 643>
2022-11-23T01:32:36.9362395Z [2022-11-23 01:14:09,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.9362914Z [2022-11-23 01:14:09,927] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:36.9363371Z [2022-11-23 01:14:09,929] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:36.9363867Z [2022-11-23 01:14:09,936] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:36.9364235Z [2022-11-23 01:14:09,936] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:36.9364511Z  __compiled_fn_11 <eval_with_key>.83 opcode, name, target, args, kwargs
2022-11-23T01:32:36.9364846Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:36.9365200Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:36.9365324Z output, output, output, ((add,),), {}
2022-11-23T01:32:36.9365331Z 
2022-11-23T01:32:36.9365636Z [2022-11-23 01:14:09,937] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9365838Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:36.9365919Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9366048Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:36.9366169Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:36.9366274Z               8 RETURN_VALUE
2022-11-23T01:32:36.9366279Z 
2022-11-23T01:32:36.9366399Z  
2022-11-23T01:32:36.9366707Z [2022-11-23 01:14:09,937] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9366848Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_11)
2022-11-23T01:32:36.9366925Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9367055Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9367192Z               6 BINARY_SUBSCR
2022-11-23T01:32:36.9367315Z               8 CALL_FUNCTION            1
2022-11-23T01:32:36.9367449Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:36.9367579Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.9367696Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9367800Z              16 BINARY_SUBSCR
2022-11-23T01:32:36.9367876Z              18 BUILD_TUPLE              1
2022-11-23T01:32:36.9367980Z              20 RETURN_VALUE
2022-11-23T01:32:36.9367985Z 
2022-11-23T01:32:36.9368082Z  
2022-11-23T01:32:36.9368314Z [2022-11-23 01:14:09,939] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:36.9368417Z  - 
2022-11-23T01:32:36.9368565Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:36.9368657Z             {
2022-11-23T01:32:36.9368789Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:36.9369031Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:36.9369179Z                 'obj_weakref': None
2022-11-23T01:32:36.9369442Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:36.9369538Z             }
2022-11-23T01:32:36.9369651Z             
2022-11-23T01:32:36.9369749Z  - 
2022-11-23T01:32:36.9369861Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:36.9369952Z             {
2022-11-23T01:32:36.9370123Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.9370258Z                 'code': None,
2022-11-23T01:32:36.9370501Z                 'obj_weakref': <weakref at 0x7f7106699fb0; to 'Tensor' at 0x7f71066d8890>
2022-11-23T01:32:36.9370779Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.9370873Z             }
2022-11-23T01:32:36.9370925Z             
2022-11-23T01:32:36.9371044Z  - 
2022-11-23T01:32:36.9371204Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:36.9371296Z             {
2022-11-23T01:32:36.9371484Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:36.9371688Z                 'code': ['___check_obj_id(model, 140123419224256)'],
2022-11-23T01:32:36.9371838Z                 'obj_weakref': None
2022-11-23T01:32:36.9372055Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:36.9372150Z             }
2022-11-23T01:32:36.9372243Z             
2022-11-23T01:32:36.9372359Z  - 
2022-11-23T01:32:36.9372509Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:36.9372600Z             {
2022-11-23T01:32:36.9372724Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:36.9373016Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:36.9373162Z                 'obj_weakref': None
2022-11-23T01:32:36.9373407Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:36.9373499Z             }
2022-11-23T01:32:36.9373589Z             
2022-11-23T01:32:36.9373928Z [2022-11-23 01:14:09,948] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 11
2022-11-23T01:32:36.9374332Z [2022-11-23 01:14:12,481] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zx/czxffeu5537psmplxnlxfq33s3govbslqeqtnckuirgzcgjqtwbw.py
2022-11-23T01:32:36.9374583Z [2022-11-23 01:14:12,481] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 11
2022-11-23T01:32:36.9374660Z 
2022-11-23T01:32:36.9374741Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.9374836Z import torch
2022-11-23T01:32:36.9374933Z import random
2022-11-23T01:32:36.9375079Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.9375230Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.9375235Z 
2022-11-23T01:32:36.9375341Z aten = torch.ops.aten
2022-11-23T01:32:36.9375530Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.9375612Z async_compile = AsyncCompile()
2022-11-23T01:32:36.9375617Z 
2022-11-23T01:32:36.9375663Z 
2022-11-23T01:32:36.9375786Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.9376019Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.9376166Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:36.9376295Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:36.9376384Z {
2022-11-23T01:32:36.9376510Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.9376606Z     {
2022-11-23T01:32:36.9376671Z         #pragma omp for 
2022-11-23T01:32:36.9376801Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:36.9376921Z         {
2022-11-23T01:32:36.9377093Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:36.9377255Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:36.9377367Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:36.9377489Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:36.9377540Z         }
2022-11-23T01:32:36.9377674Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:36.9377785Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:32:36.9377894Z         {
2022-11-23T01:32:36.9378006Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:36.9378134Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:36.9378247Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:36.9378314Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:36.9378404Z         }
2022-11-23T01:32:36.9378500Z     }
2022-11-23T01:32:36.9378587Z }
2022-11-23T01:32:36.9378697Z ''')
2022-11-23T01:32:36.9378702Z 
2022-11-23T01:32:36.9378706Z 
2022-11-23T01:32:36.9378845Z async_compile.wait(globals())
2022-11-23T01:32:36.9378974Z del async_compile
2022-11-23T01:32:36.9378979Z 
2022-11-23T01:32:36.9379037Z def call(args):
2022-11-23T01:32:36.9379133Z     arg0_1, = args
2022-11-23T01:32:36.9379232Z     args.clear()
2022-11-23T01:32:36.9379466Z     buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9379631Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:36.9379728Z     del arg0_1
2022-11-23T01:32:36.9379827Z     return (buf0, )
2022-11-23T01:32:36.9379832Z 
2022-11-23T01:32:36.9379836Z 
2022-11-23T01:32:36.9379960Z if __name__ == "__main__":
2022-11-23T01:32:36.9380061Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.9380211Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.9380435Z     arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9380615Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:36.9380620Z 
2022-11-23T01:32:36.9380714Z ok (2.570s)
2022-11-23T01:32:36.9381073Z   test_add_inplace_permuted_cpu (__main__.CpuTests) ... [2022-11-23 01:14:12,498] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:36.9381401Z [2022-11-23 01:14:12,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:36.9381677Z [2022-11-23 01:14:12,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:36.9381919Z [2022-11-23 01:14:12,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:36.9382253Z [2022-11-23 01:14:12,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:36.9382613Z [2022-11-23 01:14:12,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:36.9382964Z [2022-11-23 01:14:12,499] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64684b0, file "inductor/test_torchinductor.py", line 655> 
2022-11-23T01:32:36.9383088Z  656           0 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9383212Z               2 LOAD_METHOD              0 (add_)
2022-11-23T01:32:36.9383333Z               4 LOAD_FAST                1 (y)
2022-11-23T01:32:36.9383456Z               6 CALL_METHOD              1
2022-11-23T01:32:36.9383520Z               8 RETURN_VALUE
2022-11-23T01:32:36.9383608Z  
2022-11-23T01:32:36.9383614Z 
2022-11-23T01:32:36.9383934Z [2022-11-23 01:14:12,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:656
2022-11-23T01:32:36.9384173Z [2022-11-23 01:14:12,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:36.9384566Z [2022-11-23 01:14:12,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()]
2022-11-23T01:32:36.9384883Z [2022-11-23 01:14:12,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)]
2022-11-23T01:32:36.9385223Z [2022-11-23 01:14:12,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()]
2022-11-23T01:32:36.9385502Z [2022-11-23 01:14:12,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:36.9385861Z [2022-11-23 01:14:12,504] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64684b0, file "inductor/test_torchinductor.py", line 655>
2022-11-23T01:32:36.9386184Z [2022-11-23 01:14:12,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:36.9386451Z [2022-11-23 01:14:12,504] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:36.9387000Z [2022-11-23 01:14:12,506] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:36.9387569Z [2022-11-23 01:14:12,511] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:32:36.9387901Z [2022-11-23 01:14:12,512] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:32:36.9388354Z [2022-11-23 01:14:12,512] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:36.9388714Z [2022-11-23 01:14:12,512] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:36.9389005Z  __compiled_fn_12 <eval_with_key>.86 opcode, name, target, args, kwargs
2022-11-23T01:32:36.9389198Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:36.9389310Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:36.9389499Z call_method, add_, add_, (ex_0_, ex_1_), {}
2022-11-23T01:32:36.9389692Z output, output, output, ((add_,),), {}
2022-11-23T01:32:36.9389772Z 
2022-11-23T01:32:36.9390279Z [2022-11-23 01:14:12,513] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9390452Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:36.9390682Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9390881Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:36.9391188Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:36.9391291Z               8 RETURN_VALUE
2022-11-23T01:32:36.9391298Z 
2022-11-23T01:32:36.9391452Z  
2022-11-23T01:32:36.9391931Z [2022-11-23 01:14:12,513] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9392132Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_12)
2022-11-23T01:32:36.9392315Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9392493Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9392701Z               6 BINARY_SUBSCR
2022-11-23T01:32:36.9392890Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9393005Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:36.9393157Z              12 BINARY_SUBSCR
2022-11-23T01:32:36.9393337Z              14 CALL_FUNCTION            2
2022-11-23T01:32:36.9393512Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:36.9393694Z              18 RETURN_VALUE
2022-11-23T01:32:36.9393704Z 
2022-11-23T01:32:36.9393829Z  
2022-11-23T01:32:36.9394181Z [2022-11-23 01:14:12,515] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:36.9394265Z  - 
2022-11-23T01:32:36.9394504Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:36.9394676Z             {
2022-11-23T01:32:36.9394966Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:36.9395328Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:36.9395558Z                 'obj_weakref': None
2022-11-23T01:32:36.9395973Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:36.9396056Z             }
2022-11-23T01:32:36.9396183Z             
2022-11-23T01:32:36.9396344Z  - 
2022-11-23T01:32:36.9396624Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:36.9396795Z             {
2022-11-23T01:32:36.9397063Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.9397447Z                 'code': None,
2022-11-23T01:32:36.9397777Z                 'obj_weakref': <weakref at 0x7f71064e86b0; to 'Tensor' at 0x7f71064e8170>
2022-11-23T01:32:36.9398217Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.9398424Z             }
2022-11-23T01:32:36.9398600Z             
2022-11-23T01:32:36.9398747Z  - 
2022-11-23T01:32:36.9398988Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:36.9399159Z             {
2022-11-23T01:32:36.9399472Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.9399633Z                 'code': None,
2022-11-23T01:32:36.9399991Z                 'obj_weakref': <weakref at 0x7f7106520350; to 'Tensor' at 0x7f71064e8230>
2022-11-23T01:32:36.9400457Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.9400631Z             }
2022-11-23T01:32:36.9400795Z             
2022-11-23T01:32:36.9400939Z  - 
2022-11-23T01:32:36.9401193Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:36.9401277Z             {
2022-11-23T01:32:36.9401532Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:36.9401838Z                 'code': ['___check_obj_id(model, 140124011425872)'],
2022-11-23T01:32:36.9402053Z                 'obj_weakref': None
2022-11-23T01:32:36.9402496Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:36.9402670Z             }
2022-11-23T01:32:36.9402941Z             
2022-11-23T01:32:36.9403029Z  - 
2022-11-23T01:32:36.9403266Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:36.9403487Z             {
2022-11-23T01:32:36.9403827Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:36.9404223Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:36.9404462Z                 'obj_weakref': None
2022-11-23T01:32:36.9404949Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:36.9405034Z             }
2022-11-23T01:32:36.9405260Z             
2022-11-23T01:32:36.9405799Z [2022-11-23 01:14:12,515] torch._dynamo.eval_frame: [DEBUG] skipping _call_impl /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py
2022-11-23T01:32:36.9406349Z [2022-11-23 01:14:12,516] torch._dynamo.eval_frame: [DEBUG] skipping forward /opt/conda/lib/python3.7/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T01:32:36.9408211Z [2022-11-23 01:14:12,516] torch._dynamo.eval_frame: [DEBUG] skipping __getattr__ /opt/conda/lib/python3.7/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T01:32:36.9408753Z [2022-11-23 01:14:12,516] torch._dynamo.eval_frame: [DEBUG] skipping __call__ /opt/conda/lib/python3.7/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T01:32:36.9409298Z [2022-11-23 01:14:12,516] torch._dynamo.eval_frame: [DEBUG] skipping innermost_fn /opt/conda/lib/python3.7/site-packages/torch/_dynamo/eval_frame.py
2022-11-23T01:32:36.9409796Z [2022-11-23 01:14:12,516] torch._dynamo.eval_frame: [DEBUG] skipping wraps /opt/conda/lib/python3.7/functools.py
2022-11-23T01:32:36.9410267Z [2022-11-23 01:14:12,516] torch._dynamo.eval_frame: [DEBUG] skipping update_wrapper /opt/conda/lib/python3.7/functools.py
2022-11-23T01:32:36.9410431Z ok (0.038s)
2022-11-23T01:32:36.9410910Z   test_addmm_cpu (__main__.CpuTests) ... [2022-11-23 01:14:12,532] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:36.9411455Z [2022-11-23 01:14:12,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:36.9411851Z [2022-11-23 01:14:12,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:36.9412283Z [2022-11-23 01:14:12,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:36.9412810Z [2022-11-23 01:14:12,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:36.9413407Z [2022-11-23 01:14:12,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:36.9413990Z [2022-11-23 01:14:12,533] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f647f0c0, file "inductor/test_torchinductor.py", line 1333> 
2022-11-23T01:32:36.9414177Z  1334           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:36.9414373Z                2 LOAD_METHOD              1 (addmm)
2022-11-23T01:32:36.9414490Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:36.9414668Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:36.9414821Z                8 BINARY_ADD
2022-11-23T01:32:36.9414998Z               10 LOAD_FAST                1 (b)
2022-11-23T01:32:36.9415175Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:36.9415346Z               14 BINARY_ADD
2022-11-23T01:32:36.9415518Z               16 LOAD_FAST                2 (c)
2022-11-23T01:32:36.9415638Z               18 LOAD_CONST               3 (3)
2022-11-23T01:32:36.9415805Z               20 BINARY_ADD
2022-11-23T01:32:36.9416067Z               22 CALL_METHOD              3
2022-11-23T01:32:36.9416238Z               24 LOAD_CONST               4 (4)
2022-11-23T01:32:36.9416415Z               26 BINARY_ADD
2022-11-23T01:32:36.9416596Z               28 BUILD_TUPLE              1
2022-11-23T01:32:36.9416747Z               30 RETURN_VALUE
2022-11-23T01:32:36.9416909Z  
2022-11-23T01:32:36.9417012Z 
2022-11-23T01:32:36.9417442Z [2022-11-23 01:14:12,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1334
2022-11-23T01:32:36.9417836Z [2022-11-23 01:14:12,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:36.9418578Z [2022-11-23 01:14:12,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR addmm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:36.9419178Z [2022-11-23 01:14:12,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method addmm of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:36.9419791Z [2022-11-23 01:14:12,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method addmm of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:36.9420472Z [2022-11-23 01:14:12,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method addmm of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:36.9421088Z [2022-11-23 01:14:12,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method addmm of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:36.9421749Z [2022-11-23 01:14:12,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method addmm of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9422489Z [2022-11-23 01:14:12,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method addmm of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:36.9423135Z [2022-11-23 01:14:12,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(<built-in method addmm of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9423863Z [2022-11-23 01:14:12,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<built-in method addmm of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9424769Z [2022-11-23 01:14:12,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method addmm of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:36.9425473Z [2022-11-23 01:14:12,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method addmm of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9425844Z [2022-11-23 01:14:12,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable()]
2022-11-23T01:32:36.9426346Z [2022-11-23 01:14:12,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:36.9426795Z [2022-11-23 01:14:12,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:36.9427218Z [2022-11-23 01:14:12,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.9427796Z [2022-11-23 01:14:12,553] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f647f0c0, file "inductor/test_torchinductor.py", line 1333>
2022-11-23T01:32:36.9428234Z [2022-11-23 01:14:12,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.9428656Z [2022-11-23 01:14:12,553] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:36.9429104Z [2022-11-23 01:14:12,556] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:36.9429543Z [2022-11-23 01:14:12,572] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:36.9429964Z [2022-11-23 01:14:12,573] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:36.9430155Z  __compiled_fn_13 <eval_with_key>.92 opcode, name, target, args, kwargs
2022-11-23T01:32:36.9430329Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:36.9430540Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:36.9430776Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:36.9516123Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:36.9516462Z call_function, add_1, <built-in function add>, (ex_1_, 2), {}
2022-11-23T01:32:36.9516774Z call_function, add_2, <built-in function add>, (ex_2_, 3), {}
2022-11-23T01:32:36.9517401Z call_function, addmm, <built-in method addmm of type object at 0x7f71f2abebc0>, (add, add_1, add_2), {}
2022-11-23T01:32:36.9517775Z call_function, add_3, <built-in function add>, (addmm, 4), {}
2022-11-23T01:32:36.9518048Z output, output, output, ((add_3,),), {}
2022-11-23T01:32:36.9518065Z 
2022-11-23T01:32:36.9518593Z [2022-11-23 01:14:12,573] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9518804Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:36.9518946Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9519128Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:36.9519300Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:36.9519487Z               8 RETURN_VALUE
2022-11-23T01:32:36.9519497Z 
2022-11-23T01:32:36.9520009Z  
2022-11-23T01:32:36.9520553Z [2022-11-23 01:14:12,574] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9520753Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_13)
2022-11-23T01:32:36.9520882Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9521047Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9521225Z               6 BINARY_SUBSCR
2022-11-23T01:32:36.9521415Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9521604Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:36.9521809Z              12 BINARY_SUBSCR
2022-11-23T01:32:36.9521986Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9522097Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:36.9522251Z              18 BINARY_SUBSCR
2022-11-23T01:32:36.9522453Z              20 CALL_FUNCTION            3
2022-11-23T01:32:36.9522674Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:36.9522885Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.9523078Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9523226Z              28 BINARY_SUBSCR
2022-11-23T01:32:36.9524643Z              30 BUILD_TUPLE              1
2022-11-23T01:32:36.9524764Z              32 RETURN_VALUE
2022-11-23T01:32:36.9524772Z 
2022-11-23T01:32:36.9524928Z  
2022-11-23T01:32:36.9525359Z [2022-11-23 01:14:12,576] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:36.9525520Z  - 
2022-11-23T01:32:36.9525772Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:36.9525966Z             {
2022-11-23T01:32:36.9526262Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:36.9526585Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 3'],
2022-11-23T01:32:36.9526836Z                 'obj_weakref': None
2022-11-23T01:32:36.9527236Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:36.9527395Z             }
2022-11-23T01:32:36.9527560Z             
2022-11-23T01:32:36.9527708Z  - 
2022-11-23T01:32:36.9527948Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:36.9528035Z             {
2022-11-23T01:32:36.9528295Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.9528549Z                 'code': None,
2022-11-23T01:32:36.9529058Z                 'obj_weakref': <weakref at 0x7f7106520890; to 'Tensor' at 0x7f71064fae90>
2022-11-23T01:32:36.9529503Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.9530666Z             }
2022-11-23T01:32:36.9530827Z             
2022-11-23T01:32:36.9530926Z  - 
2022-11-23T01:32:36.9531311Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:36.9531462Z             {
2022-11-23T01:32:36.9531809Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.9532015Z                 'code': None,
2022-11-23T01:32:36.9583473Z                 'obj_weakref': <weakref at 0x7f7106520470; to 'Tensor' at 0x7f7106699ef0>
2022-11-23T01:32:36.9583896Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.9583950Z             }
2022-11-23T01:32:36.9584047Z             
2022-11-23T01:32:36.9584151Z  - 
2022-11-23T01:32:36.9584324Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:36.9584426Z             {
2022-11-23T01:32:36.9584739Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.9584884Z                 'code': None,
2022-11-23T01:32:36.9585080Z                 'obj_weakref': <weakref at 0x7f710627c110; to 'Tensor' at 0x7f71064e81d0>
2022-11-23T01:32:36.9585355Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.9585482Z             }
2022-11-23T01:32:36.9585573Z             
2022-11-23T01:32:36.9585677Z  - 
2022-11-23T01:32:36.9585839Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:36.9585934Z             {
2022-11-23T01:32:36.9586056Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:36.9586281Z                 'code': ['___check_obj_id(model, 140123418592896)'],
2022-11-23T01:32:36.9586430Z                 'obj_weakref': None
2022-11-23T01:32:36.9586687Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:36.9586781Z             }
2022-11-23T01:32:36.9586879Z             
2022-11-23T01:32:36.9586975Z  - 
2022-11-23T01:32:36.9587083Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:36.9587175Z             {
2022-11-23T01:32:36.9587341Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:36.9587608Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:36.9587759Z                 'obj_weakref': None
2022-11-23T01:32:36.9588053Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:36.9588152Z             }
2022-11-23T01:32:36.9588202Z             
2022-11-23T01:32:36.9588298Z  - 
2022-11-23T01:32:36.9588461Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:36.9588553Z             {
2022-11-23T01:32:36.9588700Z                 'guard_types': None,
2022-11-23T01:32:36.9588853Z                 'code': None,
2022-11-23T01:32:36.9589003Z                 'obj_weakref': None
2022-11-23T01:32:36.9589110Z                 'guarded_class': None
2022-11-23T01:32:36.9589210Z             }
2022-11-23T01:32:36.9589303Z             
2022-11-23T01:32:36.9589592Z [2022-11-23 01:14:12,600] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 12
2022-11-23T01:32:36.9589990Z [2022-11-23 01:14:15,254] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ne/cne5dm55ven44ekzvhzrtnsr24vklezbs5ez5q43qfehfm2e6bi3.py
2022-11-23T01:32:36.9590283Z [2022-11-23 01:14:15,254] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 12
2022-11-23T01:32:36.9590291Z 
2022-11-23T01:32:36.9590413Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.9590530Z import torch
2022-11-23T01:32:36.9590587Z import random
2022-11-23T01:32:36.9590738Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.9590919Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.9591031Z 
2022-11-23T01:32:36.9591140Z aten = torch.ops.aten
2022-11-23T01:32:36.9591304Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.9591424Z async_compile = AsyncCompile()
2022-11-23T01:32:36.9591430Z 
2022-11-23T01:32:36.9591434Z 
2022-11-23T01:32:36.9591600Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.9591842Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.9591991Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:36.9592143Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:36.9592274Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:36.9592404Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:36.9592528Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:36.9592650Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:36.9592742Z {
2022-11-23T01:32:36.9592828Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.9592924Z     {
2022-11-23T01:32:36.9593030Z         #pragma omp for 
2022-11-23T01:32:36.9593185Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:36.9593278Z         {
2022-11-23T01:32:36.9593459Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:36.9593620Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:36.9593696Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:36.9593818Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:36.9593917Z         }
2022-11-23T01:32:36.9594040Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:36.9594150Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:36.9594260Z         {
2022-11-23T01:32:36.9594372Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:36.9594459Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:36.9594572Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:36.9594681Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:36.9594778Z         }
2022-11-23T01:32:36.9594881Z         #pragma omp for 
2022-11-23T01:32:36.9594988Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:36.9595077Z         {
2022-11-23T01:32:36.9595196Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:36.9595415Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:36.9595529Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:36.9595650Z             tmp2.store(out_ptr1 + 16*i0);
2022-11-23T01:32:36.9595748Z         }
2022-11-23T01:32:36.9595871Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:36.9595981Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:36.9596029Z         {
2022-11-23T01:32:36.9596141Z             auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:36.9596267Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:36.9596398Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:36.9596510Z             out_ptr1[i0] = tmp2;
2022-11-23T01:32:36.9596609Z         }
2022-11-23T01:32:36.9596713Z         #pragma omp for 
2022-11-23T01:32:36.9596780Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:36.9596869Z         {
2022-11-23T01:32:36.9597026Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr2 + 16*i0);
2022-11-23T01:32:36.9597360Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T01:32:36.9597514Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:36.9597661Z             tmp2.store(out_ptr2 + 16*i0);
2022-11-23T01:32:36.9597759Z         }
2022-11-23T01:32:36.9597840Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:36.9597949Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:36.9598037Z         {
2022-11-23T01:32:36.9598148Z             auto tmp0 = in_ptr2[i0];
2022-11-23T01:32:36.9598276Z             auto tmp1 = static_cast<float>(3);
2022-11-23T01:32:36.9598389Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:36.9598574Z             out_ptr2[i0] = tmp2;
2022-11-23T01:32:36.9598623Z         }
2022-11-23T01:32:36.9598733Z     }
2022-11-23T01:32:36.9598824Z }
2022-11-23T01:32:36.9598947Z ''')
2022-11-23T01:32:36.9598954Z 
2022-11-23T01:32:36.9598959Z 
2022-11-23T01:32:36.9599121Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:36.9599353Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.9599535Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:32:36.9599583Z {
2022-11-23T01:32:36.9599750Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.9599839Z     {
2022-11-23T01:32:36.9599966Z         #pragma omp for 
2022-11-23T01:32:36.9600074Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:36.9600163Z         {
2022-11-23T01:32:36.9600329Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 16*i0);
2022-11-23T01:32:36.9600490Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(4));
2022-11-23T01:32:36.9600564Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:36.9600696Z             tmp2.store(in_out_ptr0 + 16*i0);
2022-11-23T01:32:36.9600786Z         }
2022-11-23T01:32:36.9600908Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:36.9601037Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:36.9601129Z         {
2022-11-23T01:32:36.9601205Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:36.9601334Z             auto tmp1 = static_cast<float>(4);
2022-11-23T01:32:36.9601445Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:36.9601561Z             in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:36.9601686Z         }
2022-11-23T01:32:36.9601776Z     }
2022-11-23T01:32:36.9601865Z }
2022-11-23T01:32:36.9601932Z ''')
2022-11-23T01:32:36.9601937Z 
2022-11-23T01:32:36.9602000Z 
2022-11-23T01:32:36.9602077Z async_compile.wait(globals())
2022-11-23T01:32:36.9602177Z del async_compile
2022-11-23T01:32:36.9602182Z 
2022-11-23T01:32:36.9602283Z def call(args):
2022-11-23T01:32:36.9602402Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:36.9602501Z     args.clear()
2022-11-23T01:32:36.9602726Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9602946Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9603121Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9603389Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:36.9603505Z     del arg0_1
2022-11-23T01:32:36.9603600Z     del arg1_1
2022-11-23T01:32:36.9603701Z     del arg2_1
2022-11-23T01:32:36.9603923Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9604072Z     aten.addmm.out(buf0, buf1, buf2, beta=1, alpha=1, out=buf3)
2022-11-23T01:32:36.9604128Z     del buf0
2022-11-23T01:32:36.9604253Z     del buf1
2022-11-23T01:32:36.9604344Z     del buf2
2022-11-23T01:32:36.9604457Z     buf4 = buf3; del buf3  # reuse
2022-11-23T01:32:36.9604607Z     kernel_cpp_1(c_void_p(buf4.data_ptr()))
2022-11-23T01:32:36.9604714Z     return (buf4, )
2022-11-23T01:32:36.9604720Z 
2022-11-23T01:32:36.9604725Z 
2022-11-23T01:32:36.9604829Z if __name__ == "__main__":
2022-11-23T01:32:36.9604973Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.9605086Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.9605310Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9605532Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9605751Z     arg2_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9605918Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:36.9605923Z 
2022-11-23T01:32:36.9606077Z ok (2.735s)
2022-11-23T01:32:36.9606432Z   test_alexnet_prefix_cpu (__main__.CpuTests) ... [2022-11-23 01:14:15,570] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:36.9606735Z [2022-11-23 01:14:15,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:36.9606940Z [2022-11-23 01:14:15,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:36.9607282Z [2022-11-23 01:14:15,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:36.9607601Z [2022-11-23 01:14:15,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:36.9607955Z [2022-11-23 01:14:15,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:36.9608328Z [2022-11-23 01:14:15,571] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f640f390, file "inductor/test_torchinductor.py", line 2077> 
2022-11-23T01:32:36.9608456Z  2078           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:36.9608597Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:36.9608718Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:36.9608848Z                6 LOAD_METHOD              3 (convolution)
2022-11-23T01:32:36.9608854Z 
2022-11-23T01:32:36.9608934Z 2079           8 LOAD_FAST                2 (arg16)
2022-11-23T01:32:36.9609050Z               10 LOAD_FAST                1 (arg7)
2022-11-23T01:32:36.9609164Z               12 LOAD_FAST                0 (arg6)
2022-11-23T01:32:36.9609288Z               14 LOAD_CONST               1 (4)
2022-11-23T01:32:36.9609406Z               16 LOAD_CONST               1 (4)
2022-11-23T01:32:36.9609521Z               18 BUILD_LIST               2
2022-11-23T01:32:36.9609656Z               20 LOAD_CONST               2 (2)
2022-11-23T01:32:36.9609732Z               22 LOAD_CONST               2 (2)
2022-11-23T01:32:36.9609847Z               24 BUILD_LIST               2
2022-11-23T01:32:36.9609961Z               26 LOAD_CONST               3 (1)
2022-11-23T01:32:36.9610105Z               28 LOAD_CONST               3 (1)
2022-11-23T01:32:36.9610226Z               30 BUILD_LIST               2
2022-11-23T01:32:36.9610346Z               32 LOAD_CONST               4 (False)
2022-11-23T01:32:36.9610465Z               34 LOAD_CONST               5 (0)
2022-11-23T01:32:36.9610540Z               36 LOAD_CONST               5 (0)
2022-11-23T01:32:36.9610656Z               38 BUILD_LIST               2
2022-11-23T01:32:36.9610787Z               40 LOAD_CONST               3 (1)
2022-11-23T01:32:36.9610903Z               42 CALL_METHOD              9
2022-11-23T01:32:36.9611033Z               44 STORE_FAST               3 (convolution)
2022-11-23T01:32:36.9611039Z 
2022-11-23T01:32:36.9611168Z 2081          46 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:36.9611289Z               48 LOAD_ATTR                1 (ops)
2022-11-23T01:32:36.9611408Z               50 LOAD_ATTR                2 (aten)
2022-11-23T01:32:36.9611486Z               52 LOAD_METHOD              4 (relu)
2022-11-23T01:32:36.9611613Z               54 LOAD_FAST                3 (convolution)
2022-11-23T01:32:36.9611730Z               56 CALL_METHOD              1
2022-11-23T01:32:36.9611865Z               58 STORE_FAST               4 (relu)
2022-11-23T01:32:36.9611873Z 
2022-11-23T01:32:36.9611992Z 2082          60 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:36.9612143Z               62 LOAD_ATTR                1 (ops)
2022-11-23T01:32:36.9612258Z               64 LOAD_ATTR                2 (aten)
2022-11-23T01:32:36.9612400Z               66 LOAD_METHOD              5 (max_pool2d_with_indices)
2022-11-23T01:32:36.9612406Z 
2022-11-23T01:32:36.9612483Z 2083          68 LOAD_FAST                4 (relu)
2022-11-23T01:32:36.9612598Z               70 LOAD_CONST               6 (3)
2022-11-23T01:32:36.9612749Z               72 LOAD_CONST               6 (3)
2022-11-23T01:32:36.9612864Z               74 BUILD_LIST               2
2022-11-23T01:32:36.9613005Z               76 LOAD_CONST               2 (2)
2022-11-23T01:32:36.9613121Z               78 LOAD_CONST               2 (2)
2022-11-23T01:32:36.9613235Z               80 BUILD_LIST               2
2022-11-23T01:32:36.9613309Z               82 CALL_METHOD              3
2022-11-23T01:32:36.9613476Z               84 STORE_FAST               5 (max_pool2d_with_indices)
2022-11-23T01:32:36.9613481Z 
2022-11-23T01:32:36.9613619Z 2085          86 LOAD_FAST                5 (max_pool2d_with_indices)
2022-11-23T01:32:36.9613736Z               88 LOAD_CONST               5 (0)
2022-11-23T01:32:36.9613843Z               90 BINARY_SUBSCR
2022-11-23T01:32:36.9613974Z               92 STORE_FAST               6 (getitem)
2022-11-23T01:32:36.9613979Z 
2022-11-23T01:32:36.9614117Z 2086          94 LOAD_FAST                6 (getitem)
2022-11-23T01:32:36.9614272Z               96 BUILD_TUPLE              1
2022-11-23T01:32:36.9614337Z               98 RETURN_VALUE
2022-11-23T01:32:36.9614428Z  
2022-11-23T01:32:36.9614432Z 
2022-11-23T01:32:36.9614739Z [2022-11-23 01:14:15,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2078
2022-11-23T01:32:36.9614990Z [2022-11-23 01:14:15,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:36.9615390Z [2022-11-23 01:14:15,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:36.9615719Z [2022-11-23 01:14:15,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:36.9616062Z [2022-11-23 01:14:15,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:36.9616384Z [2022-11-23 01:14:15,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2079
2022-11-23T01:32:36.9616682Z [2022-11-23 01:14:15,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg16 [TorchVariable(aten.convolution)]
2022-11-23T01:32:36.9617009Z [2022-11-23 01:14:15,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg7 [TorchVariable(aten.convolution), TensorVariable()]
2022-11-23T01:32:36.9617319Z [2022-11-23 01:14:15,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg6 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9617699Z [2022-11-23 01:14:15,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9618111Z [2022-11-23 01:14:15,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:36.9618570Z [2022-11-23 01:14:15,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:36.9618969Z [2022-11-23 01:14:15,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:36.9619403Z [2022-11-23 01:14:15,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:36.9619931Z [2022-11-23 01:14:15,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:36.9620388Z [2022-11-23 01:14:15,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:36.9620880Z [2022-11-23 01:14:15,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:36.9621394Z [2022-11-23 01:14:15,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:36.9621854Z [2022-11-23 01:14:15,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:36.9622340Z [2022-11-23 01:14:15,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:36.9622877Z [2022-11-23 01:14:15,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T01:32:36.9623436Z [2022-11-23 01:14:15,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:36.9623972Z [2022-11-23 01:14:15,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()]
2022-11-23T01:32:36.9624632Z [2022-11-23 01:14:15,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 9 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:36.9624935Z [2022-11-23 01:14:15,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convolution [TensorVariable()]
2022-11-23T01:32:36.9625190Z [2022-11-23 01:14:15,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2081
2022-11-23T01:32:36.9625438Z [2022-11-23 01:14:15,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:36.9625829Z [2022-11-23 01:14:15,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:36.9626154Z [2022-11-23 01:14:15,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:36.9626487Z [2022-11-23 01:14:15,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:36.9626817Z [2022-11-23 01:14:15,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convolution [TorchVariable(aten.relu)]
2022-11-23T01:32:36.9627153Z [2022-11-23 01:14:15,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.relu), TensorVariable()]
2022-11-23T01:32:36.9627434Z [2022-11-23 01:14:15,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST relu [TensorVariable()]
2022-11-23T01:32:36.9627729Z [2022-11-23 01:14:15,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2082
2022-11-23T01:32:36.9628013Z [2022-11-23 01:14:15,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:36.9628403Z [2022-11-23 01:14:15,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:36.9628709Z [2022-11-23 01:14:15,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:36.9629070Z [2022-11-23 01:14:15,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:36.9629364Z [2022-11-23 01:14:15,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2083
2022-11-23T01:32:36.9629684Z [2022-11-23 01:14:15,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST relu [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:36.9630046Z [2022-11-23 01:14:15,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:36.9630415Z [2022-11-23 01:14:15,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:36.9630823Z [2022-11-23 01:14:15,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:36.9631186Z [2022-11-23 01:14:15,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:36.9631577Z [2022-11-23 01:14:15,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:36.9632047Z [2022-11-23 01:14:15,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:36.9632440Z [2022-11-23 01:14:15,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:36.9632742Z [2022-11-23 01:14:15,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST max_pool2d_with_indices [TupleVariable()]
2022-11-23T01:32:36.9632994Z [2022-11-23 01:14:15,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2085
2022-11-23T01:32:36.9633287Z [2022-11-23 01:14:15,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST max_pool2d_with_indices []
2022-11-23T01:32:36.9633553Z [2022-11-23 01:14:15,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()]
2022-11-23T01:32:36.9633870Z [2022-11-23 01:14:15,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:36.9634151Z [2022-11-23 01:14:15,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST getitem [TensorVariable()]
2022-11-23T01:32:36.9634447Z [2022-11-23 01:14:15,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2086
2022-11-23T01:32:36.9634704Z [2022-11-23 01:14:15,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST getitem []
2022-11-23T01:32:36.9634972Z [2022-11-23 01:14:15,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:36.9635245Z [2022-11-23 01:14:15,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.9635569Z [2022-11-23 01:14:15,620] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f640f390, file "inductor/test_torchinductor.py", line 2077>
2022-11-23T01:32:36.9635898Z [2022-11-23 01:14:15,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.9636161Z [2022-11-23 01:14:15,620] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:36.9636442Z [2022-11-23 01:14:15,623] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:36.9636754Z [2022-11-23 01:14:15,636] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:36.9637003Z [2022-11-23 01:14:15,637] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:36.9637309Z  __compiled_fn_14 <eval_with_key>.98 opcode, name, target, args, kwargs
2022-11-23T01:32:36.9637434Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:36.9637549Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:36.9637621Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:36.9637839Z call_function, convolution, aten.convolution, (ex_2_, ex_1_, ex_0_, [4, 4], [2, 2], [1, 1], False, [0, 0], 1), {}
2022-11-23T01:32:36.9637987Z call_function, relu, aten.relu, (convolution,), {}
2022-11-23T01:32:36.9638183Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (relu, [3, 3], [2, 2]), {}
2022-11-23T01:32:36.9638438Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:36.9638567Z output, output, output, ((getitem,),), {}
2022-11-23T01:32:36.9638574Z 
2022-11-23T01:32:36.9638885Z [2022-11-23 01:14:15,637] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9639006Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:36.9639084Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9639206Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:36.9639344Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:36.9639464Z               8 RETURN_VALUE
2022-11-23T01:32:36.9639472Z 
2022-11-23T01:32:36.9639560Z  
2022-11-23T01:32:36.9639894Z [2022-11-23 01:14:15,637] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9640029Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_14)
2022-11-23T01:32:36.9640106Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9640223Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9640329Z               6 BINARY_SUBSCR
2022-11-23T01:32:36.9640445Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9640589Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:36.9640694Z              12 BINARY_SUBSCR
2022-11-23T01:32:36.9640808Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9640925Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:36.9640988Z              18 BINARY_SUBSCR
2022-11-23T01:32:36.9641109Z              20 CALL_FUNCTION            3
2022-11-23T01:32:36.9641243Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:36.9641372Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.9641497Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9641619Z              28 BINARY_SUBSCR
2022-11-23T01:32:36.9641734Z              30 BUILD_TUPLE              1
2022-11-23T01:32:36.9641798Z              32 RETURN_VALUE
2022-11-23T01:32:36.9641803Z 
2022-11-23T01:32:36.9641890Z  
2022-11-23T01:32:36.9642134Z [2022-11-23 01:14:15,639] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:36.9642232Z  - 
2022-11-23T01:32:36.9642378Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:36.9642488Z             {
2022-11-23T01:32:36.9642657Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:36.9642831Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 3'],
2022-11-23T01:32:36.9643001Z                 'obj_weakref': None
2022-11-23T01:32:36.9643378Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:36.9643596Z             }
2022-11-23T01:32:36.9643723Z             
2022-11-23T01:32:36.9643891Z  - 
2022-11-23T01:32:36.9644156Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:36.9644252Z             {
2022-11-23T01:32:36.9644551Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.9644733Z                 'code': None,
2022-11-23T01:32:36.9645016Z                 'obj_weakref': <weakref at 0x7f7106253290; to 'Tensor' at 0x7f710627c8f0>
2022-11-23T01:32:36.9645323Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.9645415Z             }
2022-11-23T01:32:36.9645514Z             
2022-11-23T01:32:36.9645569Z  - 
2022-11-23T01:32:36.9645724Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:36.9645818Z             {
2022-11-23T01:32:36.9645992Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.9646159Z                 'code': None,
2022-11-23T01:32:36.9646394Z                 'obj_weakref': <weakref at 0x7f71062536b0; to 'Tensor' at 0x7f710627ce90>
2022-11-23T01:32:36.9646671Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.9646723Z             }
2022-11-23T01:32:36.9646819Z             
2022-11-23T01:32:36.9646918Z  - 
2022-11-23T01:32:36.9647068Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:36.9647161Z             {
2022-11-23T01:32:36.9647329Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.9647484Z                 'code': None,
2022-11-23T01:32:36.9647671Z                 'obj_weakref': <weakref at 0x7f7106253170; to 'Tensor' at 0x7f710627c350>
2022-11-23T01:32:36.9647940Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.9648075Z             }
2022-11-23T01:32:36.9648166Z             
2022-11-23T01:32:36.9648263Z  - 
2022-11-23T01:32:36.9648422Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:36.9648514Z             {
2022-11-23T01:32:36.9648634Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:36.9648833Z                 'code': ['___check_obj_id(model, 140123411128192)'],
2022-11-23T01:32:36.9649001Z                 'obj_weakref': None
2022-11-23T01:32:36.9649269Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:36.9649362Z             }
2022-11-23T01:32:36.9649452Z             
2022-11-23T01:32:36.9649548Z  - 
2022-11-23T01:32:36.9649656Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:36.9649747Z             {
2022-11-23T01:32:36.9649909Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:36.9650156Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:36.9650327Z                 'obj_weakref': None
2022-11-23T01:32:36.9650610Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:36.9650701Z             }
2022-11-23T01:32:36.9650751Z             
2022-11-23T01:32:36.9650847Z  - 
2022-11-23T01:32:36.9651009Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:36.9651099Z             {
2022-11-23T01:32:36.9651247Z                 'guard_types': None,
2022-11-23T01:32:36.9651386Z                 'code': None,
2022-11-23T01:32:36.9651554Z                 'obj_weakref': None
2022-11-23T01:32:36.9651663Z                 'guarded_class': None
2022-11-23T01:32:36.9651753Z             }
2022-11-23T01:32:36.9651844Z             
2022-11-23T01:32:36.9652133Z [2022-11-23 01:14:15,656] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 13
2022-11-23T01:32:36.9652377Z [2022-11-23 01:14:15,761] torch._inductor.scheduler: [DEBUG] removed dead node: buf2
2022-11-23T01:32:36.9652771Z [2022-11-23 01:14:18,335] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/44/c44t3jzux5db5ehiyjn7xemnoqd7jvgyr3gvth3e4brfa2gv5gtb.py
2022-11-23T01:32:36.9653108Z [2022-11-23 01:14:18,335] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 13
2022-11-23T01:32:36.9653115Z 
2022-11-23T01:32:36.9653236Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.9653293Z import torch
2022-11-23T01:32:36.9653442Z import random
2022-11-23T01:32:36.9653614Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.9653765Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.9653770Z 
2022-11-23T01:32:36.9653877Z aten = torch.ops.aten
2022-11-23T01:32:36.9654047Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.9654168Z async_compile = AsyncCompile()
2022-11-23T01:32:36.9654174Z 
2022-11-23T01:32:36.9654178Z 
2022-11-23T01:32:36.9654345Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.9654536Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.9654685Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:36.9654839Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:36.9654930Z {
2022-11-23T01:32:36.9655057Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.9655155Z     {
2022-11-23T01:32:36.9655261Z         #pragma omp for 
2022-11-23T01:32:36.9655331Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:36.9655424Z         {
2022-11-23T01:32:36.9655530Z             #pragma GCC ivdep
2022-11-23T01:32:36.9655681Z             for(long i1=0; i1<27; i1+=1)
2022-11-23T01:32:36.9655794Z             {
2022-11-23T01:32:36.9655902Z                 #pragma GCC ivdep
2022-11-23T01:32:36.9655981Z                 for(long i2=0; i2<27; i2+=1)
2022-11-23T01:32:36.9656081Z                 {
2022-11-23T01:32:36.9656178Z                     {
2022-11-23T01:32:36.9656275Z                         {
2022-11-23T01:32:36.9656417Z                             auto tmp0 = in_ptr0[(2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:36.9656563Z                             auto tmp3 = in_ptr0[1 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:36.9656701Z                             auto tmp9 = in_ptr0[2 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:36.9656865Z                             auto tmp15 = in_ptr0[55 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:36.9656968Z                             auto tmp21 = in_ptr0[56 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:36.9657114Z                             auto tmp27 = in_ptr0[57 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:36.9657254Z                             auto tmp33 = in_ptr0[110 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:36.9657396Z                             auto tmp39 = in_ptr0[111 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:36.9657531Z                             auto tmp45 = in_ptr0[112 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:36.9657659Z                             auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:32:36.9657807Z                             auto tmp2 = static_cast<long>((2*i2) + (110*i1));
2022-11-23T01:32:36.9657963Z                             auto tmp4 = tmp3 * (tmp3>0);
2022-11-23T01:32:36.9658067Z                             auto tmp5 = static_cast<long>(1 + (2*i2) + (110*i1));
2022-11-23T01:32:36.9658218Z                             auto tmp6 = tmp4 > tmp1;
2022-11-23T01:32:36.9658350Z                             auto tmp7 = tmp6 ? tmp5 : tmp2;
2022-11-23T01:32:36.9658506Z                             auto tmp8 = std::max(tmp4, tmp1);
2022-11-23T01:32:36.9658633Z                             auto tmp10 = tmp9 * (tmp9>0);
2022-11-23T01:32:36.9658781Z                             auto tmp11 = static_cast<long>(2 + (2*i2) + (110*i1));
2022-11-23T01:32:36.9658913Z                             auto tmp12 = tmp10 > tmp8;
2022-11-23T01:32:36.9659045Z                             auto tmp13 = tmp12 ? tmp11 : tmp7;
2022-11-23T01:32:36.9659142Z                             auto tmp14 = std::max(tmp10, tmp8);
2022-11-23T01:32:36.9659312Z                             auto tmp16 = tmp15 * (tmp15>0);
2022-11-23T01:32:36.9659478Z                             auto tmp17 = static_cast<long>(55 + (2*i2) + (110*i1));
2022-11-23T01:32:36.9659604Z                             auto tmp18 = tmp16 > tmp14;
2022-11-23T01:32:36.9659740Z                             auto tmp19 = tmp18 ? tmp17 : tmp13;
2022-11-23T01:32:36.9659907Z                             auto tmp20 = std::max(tmp16, tmp14);
2022-11-23T01:32:36.9660036Z                             auto tmp22 = tmp21 * (tmp21>0);
2022-11-23T01:32:36.9660141Z                             auto tmp23 = static_cast<long>(56 + (2*i2) + (110*i1));
2022-11-23T01:32:36.9660300Z                             auto tmp24 = tmp22 > tmp20;
2022-11-23T01:32:36.9660430Z                             auto tmp25 = tmp24 ? tmp23 : tmp19;
2022-11-23T01:32:36.9660566Z                             auto tmp26 = std::max(tmp22, tmp20);
2022-11-23T01:32:36.9660718Z                             auto tmp28 = tmp27 * (tmp27>0);
2022-11-23T01:32:36.9660864Z                             auto tmp29 = static_cast<long>(57 + (2*i2) + (110*i1));
2022-11-23T01:32:36.9660989Z                             auto tmp30 = tmp28 > tmp26;
2022-11-23T01:32:36.9661121Z                             auto tmp31 = tmp30 ? tmp29 : tmp25;
2022-11-23T01:32:36.9661216Z                             auto tmp32 = std::max(tmp28, tmp26);
2022-11-23T01:32:36.9661357Z                             auto tmp34 = tmp33 * (tmp33>0);
2022-11-23T01:32:36.9661505Z                             auto tmp35 = static_cast<long>(110 + (2*i2) + (110*i1));
2022-11-23T01:32:36.9661630Z                             auto tmp36 = tmp34 > tmp32;
2022-11-23T01:32:36.9661776Z                             auto tmp37 = tmp36 ? tmp35 : tmp31;
2022-11-23T01:32:36.9661935Z                             auto tmp38 = std::max(tmp34, tmp32);
2022-11-23T01:32:36.9662064Z                             auto tmp40 = tmp39 * (tmp39>0);
2022-11-23T01:32:36.9662236Z                             auto tmp41 = static_cast<long>(111 + (2*i2) + (110*i1));
2022-11-23T01:32:36.9662319Z                             auto tmp42 = tmp40 > tmp38;
2022-11-23T01:32:36.9662456Z                             auto tmp43 = tmp42 ? tmp41 : tmp37;
2022-11-23T01:32:36.9662591Z                             auto tmp44 = std::max(tmp40, tmp38);
2022-11-23T01:32:36.9662754Z                             auto tmp46 = tmp45 * (tmp45>0);
2022-11-23T01:32:36.9662902Z                             auto tmp47 = static_cast<long>(112 + (2*i2) + (110*i1));
2022-11-23T01:32:36.9663025Z                             auto tmp48 = tmp46 > tmp44;
2022-11-23T01:32:36.9663172Z                             auto tmp49 = tmp48 ? tmp47 : tmp43;
2022-11-23T01:32:36.9663309Z                             auto tmp50 = std::max(tmp46, tmp44);
2022-11-23T01:32:36.9663402Z                             out_ptr0[i2 + (27*i1) + (729*i0)] = tmp50;
2022-11-23T01:32:36.9663508Z                         }
2022-11-23T01:32:36.9663605Z                     }
2022-11-23T01:32:36.9663698Z                 }
2022-11-23T01:32:36.9663789Z             }
2022-11-23T01:32:36.9663881Z         }
2022-11-23T01:32:36.9663971Z     }
2022-11-23T01:32:36.9664019Z }
2022-11-23T01:32:36.9664154Z ''')
2022-11-23T01:32:36.9664160Z 
2022-11-23T01:32:36.9664166Z 
2022-11-23T01:32:36.9664291Z async_compile.wait(globals())
2022-11-23T01:32:36.9664390Z del async_compile
2022-11-23T01:32:36.9664395Z 
2022-11-23T01:32:36.9664599Z def call(args):
2022-11-23T01:32:36.9664740Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:36.9664840Z     args.clear()
2022-11-23T01:32:36.9664967Z     buf0 = aten.convolution(arg2_1, arg1_1, arg0_1, (4, 4), (2, 2), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:36.9665104Z     assert_size_stride(buf0, (16, 64, 55, 55), (193600, 3025, 55, 1))
2022-11-23T01:32:36.9665203Z     del arg0_1
2022-11-23T01:32:36.9665339Z     del arg1_1
2022-11-23T01:32:36.9665433Z     del arg2_1
2022-11-23T01:32:36.9665692Z     buf1 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9665898Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:36.9665958Z     return (buf1, )
2022-11-23T01:32:36.9666004Z 
2022-11-23T01:32:36.9666009Z 
2022-11-23T01:32:36.9666072Z if __name__ == "__main__":
2022-11-23T01:32:36.9666212Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.9666373Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.9666629Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9666900Z     arg1_1 = rand_strided((64, 3, 11, 11), (363, 121, 11, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9667155Z     arg2_1 = rand_strided((16, 3, 224, 224), (150528, 50176, 224, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9667305Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:36.9667310Z 
2022-11-23T01:32:36.9667443Z ok (3.368s)
2022-11-23T01:32:36.9667733Z   test_any_cpu (__main__.CpuTests) ... [2022-11-23 01:14:18,634] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:36.9668030Z [2022-11-23 01:14:18,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:36.9668281Z [2022-11-23 01:14:18,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:36.9668563Z [2022-11-23 01:14:18,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:36.9668875Z [2022-11-23 01:14:18,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:36.9669246Z [2022-11-23 01:14:18,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:36.9669601Z [2022-11-23 01:14:18,634] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6433ae0, file "inductor/test_torchinductor.py", line 3382> 
2022-11-23T01:32:36.9669725Z  3384           0 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9669850Z                2 LOAD_METHOD              0 (any)
2022-11-23T01:32:36.9669975Z                4 LOAD_CONST               1 (-1)
2022-11-23T01:32:36.9670099Z                6 CALL_METHOD              1
2022-11-23T01:32:36.9670106Z 
2022-11-23T01:32:36.9670224Z 3385           8 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9670348Z               10 LOAD_METHOD              1 (isinf)
2022-11-23T01:32:36.9670464Z               12 CALL_METHOD              0
2022-11-23T01:32:36.9670602Z               14 LOAD_METHOD              0 (any)
2022-11-23T01:32:36.9670718Z               16 CALL_METHOD              0
2022-11-23T01:32:36.9670723Z 
2022-11-23T01:32:36.9670881Z 3386          18 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:36.9670958Z               20 LOAD_ATTR                3 (all)
2022-11-23T01:32:36.9671087Z               22 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9671209Z               24 LOAD_METHOD              1 (isinf)
2022-11-23T01:32:36.9671324Z               26 CALL_METHOD              0
2022-11-23T01:32:36.9671439Z               28 LOAD_CONST               2 (0)
2022-11-23T01:32:36.9671612Z               30 LOAD_CONST               3 (('dim',))
2022-11-23T01:32:36.9671753Z               32 CALL_FUNCTION_KW         2
2022-11-23T01:32:36.9671758Z 
2022-11-23T01:32:36.9671837Z 3387          34 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:36.9671958Z               36 LOAD_METHOD              3 (all)
2022-11-23T01:32:36.9672093Z               38 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:36.9672221Z               40 LOAD_METHOD              4 (logical_not)
2022-11-23T01:32:36.9672337Z               42 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9672456Z               44 LOAD_METHOD              1 (isinf)
2022-11-23T01:32:36.9672570Z               46 CALL_METHOD              0
2022-11-23T01:32:36.9672672Z               48 CALL_METHOD              1
2022-11-23T01:32:36.9672785Z               50 CALL_METHOD              1
2022-11-23T01:32:36.9672926Z               52 BUILD_TUPLE              4
2022-11-23T01:32:36.9673066Z               54 RETURN_VALUE
2022-11-23T01:32:36.9673156Z  
2022-11-23T01:32:36.9673161Z 
2022-11-23T01:32:36.9673463Z [2022-11-23 01:14:18,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3384
2022-11-23T01:32:36.9673731Z [2022-11-23 01:14:18,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:36.9674004Z [2022-11-23 01:14:18,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable()]
2022-11-23T01:32:36.9674267Z [2022-11-23 01:14:18,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:32:36.9674610Z [2022-11-23 01:14:18,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), any), ConstantVariable(int)]
2022-11-23T01:32:36.9674916Z [2022-11-23 01:14:18,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3385
2022-11-23T01:32:36.9675201Z [2022-11-23 01:14:18,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:36.9675501Z [2022-11-23 01:14:18,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9675840Z [2022-11-23 01:14:18,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:36.9676134Z [2022-11-23 01:14:18,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9676469Z [2022-11-23 01:14:18,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:32:36.9676763Z [2022-11-23 01:14:18,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3386
2022-11-23T01:32:36.9677076Z [2022-11-23 01:14:18,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9677735Z [2022-11-23 01:14:18,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:36.9678104Z [2022-11-23 01:14:18,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:36.9678639Z [2022-11-23 01:14:18,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:36.9679131Z [2022-11-23 01:14:18,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f71f2abebc0>), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:36.9679568Z [2022-11-23 01:14:18,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:36.9680047Z [2022-11-23 01:14:18,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dim',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:36.9680572Z [2022-11-23 01:14:18,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:36.9680940Z [2022-11-23 01:14:18,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3387
2022-11-23T01:32:36.9681270Z [2022-11-23 01:14:18,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9681785Z [2022-11-23 01:14:18,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:36.9682252Z [2022-11-23 01:14:18,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:36.9682853Z [2022-11-23 01:14:18,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f71f2abebc0>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:36.9683411Z [2022-11-23 01:14:18,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f71f2abebc0>), TorchVariable(<built-in method logical_not of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:36.9684008Z [2022-11-23 01:14:18,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f71f2abebc0>), TorchVariable(<built-in method logical_not of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:36.9684629Z [2022-11-23 01:14:18,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f71f2abebc0>), TorchVariable(<built-in method logical_not of type object at 0x7f71f2abebc0>), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:36.9685213Z [2022-11-23 01:14:18,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f71f2abebc0>), TorchVariable(<built-in method logical_not of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:36.9685676Z [2022-11-23 01:14:18,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:36.9686060Z [2022-11-23 01:14:18,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9686353Z [2022-11-23 01:14:18,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.9686714Z [2022-11-23 01:14:18,661] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6433ae0, file "inductor/test_torchinductor.py", line 3382>
2022-11-23T01:32:36.9686945Z [2022-11-23 01:14:18,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.9687217Z [2022-11-23 01:14:18,661] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:36.9687498Z [2022-11-23 01:14:18,663] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:36.9687775Z [2022-11-23 01:14:18,676] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:36.9687992Z [2022-11-23 01:14:18,677] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:36.9688156Z  __compiled_fn_15 <eval_with_key>.104 opcode, name, target, args, kwargs
2022-11-23T01:32:36.9688307Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:36.9688498Z call_method, any_1, any, (ex_0_, -1), {}
2022-11-23T01:32:36.9688581Z call_method, isinf, isinf, (ex_0_,), {}
2022-11-23T01:32:36.9688701Z call_method, any_2, any, (isinf,), {}
2022-11-23T01:32:36.9688824Z call_method, isinf_1, isinf, (ex_0_,), {}
2022-11-23T01:32:36.9689092Z call_function, all_1, <built-in method all of type object at 0x7f71f2abebc0>, (isinf_1,), {'dim': 0}
2022-11-23T01:32:36.9689250Z call_method, isinf_2, isinf, (ex_0_,), {}
2022-11-23T01:32:36.9689562Z call_function, logical_not, <built-in method logical_not of type object at 0x7f71f2abebc0>, (isinf_2,), {}
2022-11-23T01:32:36.9689822Z call_function, all_2, <built-in method all of type object at 0x7f71f2abebc0>, (logical_not,), {}
2022-11-23T01:32:36.9689977Z output, output, output, ((any_1, any_2, all_1, all_2),), {}
2022-11-23T01:32:36.9689983Z 
2022-11-23T01:32:36.9690247Z [2022-11-23 01:14:18,677] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9690396Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:36.9690515Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9690639Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:36.9690757Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:36.9690864Z               8 RETURN_VALUE
2022-11-23T01:32:36.9690869Z 
2022-11-23T01:32:36.9690957Z  
2022-11-23T01:32:36.9691265Z [2022-11-23 01:14:18,677] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9691361Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_15)
2022-11-23T01:32:36.9691477Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9691615Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9691720Z               6 BINARY_SUBSCR
2022-11-23T01:32:36.9691837Z               8 CALL_FUNCTION            1
2022-11-23T01:32:36.9691973Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:36.9692101Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.9692178Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9692336Z              16 BINARY_SUBSCR
2022-11-23T01:32:36.9692464Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.9692582Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:36.9692710Z              22 BINARY_SUBSCR
2022-11-23T01:32:36.9692840Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.9692957Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:36.9693061Z              28 BINARY_SUBSCR
2022-11-23T01:32:36.9693146Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.9693268Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:36.9693371Z              34 BINARY_SUBSCR
2022-11-23T01:32:36.9693491Z              36 BUILD_TUPLE              4
2022-11-23T01:32:36.9693599Z              38 RETURN_VALUE
2022-11-23T01:32:36.9693604Z 
2022-11-23T01:32:36.9693712Z  
2022-11-23T01:32:36.9693926Z [2022-11-23 01:14:18,678] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:36.9693983Z  - 
2022-11-23T01:32:36.9694130Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:36.9694230Z             {
2022-11-23T01:32:36.9694433Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:36.9694652Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:36.9694801Z                 'obj_weakref': None
2022-11-23T01:32:36.9695058Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:36.9695109Z             }
2022-11-23T01:32:36.9695222Z             
2022-11-23T01:32:36.9695320Z  - 
2022-11-23T01:32:36.9695481Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:36.9695573Z             {
2022-11-23T01:32:36.9695779Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.9695914Z                 'code': None,
2022-11-23T01:32:36.9696110Z                 'obj_weakref': <weakref at 0x7f7106253d10; to 'Tensor' at 0x7f710627cdd0>
2022-11-23T01:32:36.9696389Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.9696482Z             }
2022-11-23T01:32:36.9696605Z             
2022-11-23T01:32:36.9696702Z  - 
2022-11-23T01:32:36.9696892Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:36.9697017Z             {
2022-11-23T01:32:36.9697139Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:36.9697336Z                 'code': ['___check_obj_id(model, 140123419225984)'],
2022-11-23T01:32:36.9697481Z                 'obj_weakref': None
2022-11-23T01:32:36.9697740Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:36.9697840Z             }
2022-11-23T01:32:36.9697957Z             
2022-11-23T01:32:36.9698054Z  - 
2022-11-23T01:32:36.9698164Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:36.9698255Z             {
2022-11-23T01:32:36.9698420Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:36.9698668Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:36.9698814Z                 'obj_weakref': None
2022-11-23T01:32:36.9699069Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:36.9699161Z             }
2022-11-23T01:32:36.9699211Z             
2022-11-23T01:32:36.9699328Z  - 
2022-11-23T01:32:36.9699490Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:36.9699612Z             {
2022-11-23T01:32:36.9699758Z                 'guard_types': None,
2022-11-23T01:32:36.9699891Z                 'code': None,
2022-11-23T01:32:36.9700044Z                 'obj_weakref': None
2022-11-23T01:32:36.9700154Z                 'guarded_class': None
2022-11-23T01:32:36.9700247Z             }
2022-11-23T01:32:36.9700337Z             
2022-11-23T01:32:36.9700645Z [2022-11-23 01:14:18,701] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 14
2022-11-23T01:32:36.9701051Z [2022-11-23 01:14:21,189] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xq/cxqtw4sm7kdxgdpf5mexbvuo6e5ynfrksxfmj3xl2pbuouulib3t.py
2022-11-23T01:32:36.9701345Z [2022-11-23 01:14:21,190] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 14
2022-11-23T01:32:36.9701613Z [2022-11-23 01:14:21,198] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:36.9701918Z [2022-11-23 01:14:21,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:36.9702122Z [2022-11-23 01:14:21,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:36.9702401Z [2022-11-23 01:14:21,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:36.9702715Z [2022-11-23 01:14:21,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:36.9703068Z [2022-11-23 01:14:21,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:36.9703448Z [2022-11-23 01:14:21,199] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6433ae0, file "inductor/test_torchinductor.py", line 3382> 
2022-11-23T01:32:36.9703573Z  3384           0 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9703731Z                2 LOAD_METHOD              0 (any)
2022-11-23T01:32:36.9703905Z                4 LOAD_CONST               1 (-1)
2022-11-23T01:32:36.9703982Z                6 CALL_METHOD              1
2022-11-23T01:32:36.9704028Z 
2022-11-23T01:32:36.9704105Z 3385           8 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9704260Z               10 LOAD_METHOD              1 (isinf)
2022-11-23T01:32:36.9704377Z               12 CALL_METHOD              0
2022-11-23T01:32:36.9704582Z               14 LOAD_METHOD              0 (any)
2022-11-23T01:32:36.9704725Z               16 CALL_METHOD              0
2022-11-23T01:32:36.9704730Z 
2022-11-23T01:32:36.9704859Z 3386          18 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:36.9705016Z               20 LOAD_ATTR                3 (all)
2022-11-23T01:32:36.9705092Z               22 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9705213Z               24 LOAD_METHOD              1 (isinf)
2022-11-23T01:32:36.9705327Z               26 CALL_METHOD              0
2022-11-23T01:32:36.9705445Z               28 LOAD_CONST               2 (0)
2022-11-23T01:32:36.9705623Z               30 LOAD_CONST               3 (('dim',))
2022-11-23T01:32:36.9705745Z               32 CALL_FUNCTION_KW         2
2022-11-23T01:32:36.9705750Z 
2022-11-23T01:32:36.9705929Z 3387          34 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:36.9706053Z               36 LOAD_METHOD              3 (all)
2022-11-23T01:32:36.9706132Z               38 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:36.9706262Z               40 LOAD_METHOD              4 (logical_not)
2022-11-23T01:32:36.9706379Z               42 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9706498Z               44 LOAD_METHOD              1 (isinf)
2022-11-23T01:32:36.9706617Z               46 CALL_METHOD              0
2022-11-23T01:32:36.9706733Z               48 CALL_METHOD              1
2022-11-23T01:32:36.9706854Z               50 CALL_METHOD              1
2022-11-23T01:32:36.9706929Z               52 BUILD_TUPLE              4
2022-11-23T01:32:36.9707054Z               54 RETURN_VALUE
2022-11-23T01:32:36.9707144Z  
2022-11-23T01:32:36.9707149Z 
2022-11-23T01:32:36.9707447Z [2022-11-23 01:14:21,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3384
2022-11-23T01:32:36.9707689Z [2022-11-23 01:14:21,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:36.9707959Z [2022-11-23 01:14:21,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable()]
2022-11-23T01:32:36.9708262Z [2022-11-23 01:14:21,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:32:36.9708614Z [2022-11-23 01:14:21,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), any), ConstantVariable(int)]
2022-11-23T01:32:36.9708907Z [2022-11-23 01:14:21,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3385
2022-11-23T01:32:36.9709130Z [2022-11-23 01:14:21,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:36.9709480Z [2022-11-23 01:14:21,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9709821Z [2022-11-23 01:14:21,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:36.9710115Z [2022-11-23 01:14:21,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9710451Z [2022-11-23 01:14:21,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:32:36.9710744Z [2022-11-23 01:14:21,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3386
2022-11-23T01:32:36.9711055Z [2022-11-23 01:14:21,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9711503Z [2022-11-23 01:14:21,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:36.9711941Z [2022-11-23 01:14:21,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:36.9712425Z [2022-11-23 01:14:21,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:36.9712901Z [2022-11-23 01:14:21,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f71f2abebc0>), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:36.9713329Z [2022-11-23 01:14:21,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:36.9713774Z [2022-11-23 01:14:21,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dim',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:36.9714306Z [2022-11-23 01:14:21,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:36.9714600Z [2022-11-23 01:14:21,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3387
2022-11-23T01:32:36.9714928Z [2022-11-23 01:14:21,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9715433Z [2022-11-23 01:14:21,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:36.9715879Z [2022-11-23 01:14:21,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:36.9716505Z [2022-11-23 01:14:21,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f71f2abebc0>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:36.9717055Z [2022-11-23 01:14:21,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f71f2abebc0>), TorchVariable(<built-in method logical_not of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:36.9717831Z [2022-11-23 01:14:21,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f71f2abebc0>), TorchVariable(<built-in method logical_not of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:36.9718455Z [2022-11-23 01:14:21,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f71f2abebc0>), TorchVariable(<built-in method logical_not of type object at 0x7f71f2abebc0>), GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:36.9719038Z [2022-11-23 01:14:21,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f71f2abebc0>), TorchVariable(<built-in method logical_not of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:36.9719560Z [2022-11-23 01:14:21,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method all of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:36.9719913Z [2022-11-23 01:14:21,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9720220Z [2022-11-23 01:14:21,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.9720620Z [2022-11-23 01:14:21,222] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6433ae0, file "inductor/test_torchinductor.py", line 3382>
2022-11-23T01:32:36.9720895Z [2022-11-23 01:14:21,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.9721157Z [2022-11-23 01:14:21,222] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:36.9721399Z [2022-11-23 01:14:21,224] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:36.9721677Z [2022-11-23 01:14:21,238] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:36.9721893Z [2022-11-23 01:14:21,238] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:36.9722092Z  __compiled_fn_16 <eval_with_key>.110 opcode, name, target, args, kwargs
2022-11-23T01:32:36.9722212Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:36.9722383Z call_method, any_1, any, (ex_0_, -1), {}
2022-11-23T01:32:36.9722527Z call_method, isinf, isinf, (ex_0_,), {}
2022-11-23T01:32:36.9722646Z call_method, any_2, any, (isinf,), {}
2022-11-23T01:32:36.9722729Z call_method, isinf_1, isinf, (ex_0_,), {}
2022-11-23T01:32:36.9722997Z call_function, all_1, <built-in method all of type object at 0x7f71f2abebc0>, (isinf_1,), {'dim': 0}
2022-11-23T01:32:36.9723125Z call_method, isinf_2, isinf, (ex_0_,), {}
2022-11-23T01:32:36.9723408Z call_function, logical_not, <built-in method logical_not of type object at 0x7f71f2abebc0>, (isinf_2,), {}
2022-11-23T01:32:36.9723668Z call_function, all_2, <built-in method all of type object at 0x7f71f2abebc0>, (logical_not,), {}
2022-11-23T01:32:36.9723824Z output, output, output, ((any_1, any_2, all_1, all_2),), {}
2022-11-23T01:32:36.9723831Z 
2022-11-23T01:32:36.9724152Z [2022-11-23 01:14:21,239] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9724296Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:36.9724374Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9724495Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:36.9724614Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:36.9724718Z               8 RETURN_VALUE
2022-11-23T01:32:36.9724723Z 
2022-11-23T01:32:36.9724849Z  
2022-11-23T01:32:36.9725158Z [2022-11-23 01:14:21,239] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9725293Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_16)
2022-11-23T01:32:36.9725414Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9725490Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9725615Z               6 BINARY_SUBSCR
2022-11-23T01:32:36.9725737Z               8 CALL_FUNCTION            1
2022-11-23T01:32:36.9725870Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:36.9725999Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.9726127Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9726231Z              16 BINARY_SUBSCR
2022-11-23T01:32:36.9726317Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.9726434Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:36.9726575Z              22 BINARY_SUBSCR
2022-11-23T01:32:36.9726725Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.9726841Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:36.9726952Z              28 BINARY_SUBSCR
2022-11-23T01:32:36.9727111Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.9727185Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:36.9727288Z              34 BINARY_SUBSCR
2022-11-23T01:32:36.9727430Z              36 BUILD_TUPLE              4
2022-11-23T01:32:36.9727534Z              38 RETURN_VALUE
2022-11-23T01:32:36.9727540Z 
2022-11-23T01:32:36.9727628Z  
2022-11-23T01:32:36.9727857Z [2022-11-23 01:14:21,240] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:36.9727964Z  - 
2022-11-23T01:32:36.9728070Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:36.9728164Z             {
2022-11-23T01:32:36.9728334Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:36.9728550Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:36.9728699Z                 'obj_weakref': None
2022-11-23T01:32:36.9728950Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:36.9729046Z             }
2022-11-23T01:32:36.9729096Z             
2022-11-23T01:32:36.9729223Z  - 
2022-11-23T01:32:36.9729375Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:36.9729494Z             {
2022-11-23T01:32:36.9729668Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.9729802Z                 'code': None,
2022-11-23T01:32:36.9730035Z                 'obj_weakref': <weakref at 0x7f7106269770; to 'Tensor' at 0x7f71c2207830>
2022-11-23T01:32:36.9730272Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.9730365Z             }
2022-11-23T01:32:36.9730463Z             
2022-11-23T01:32:36.9730580Z  - 
2022-11-23T01:32:36.9730742Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:36.9730834Z             {
2022-11-23T01:32:36.9730995Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:36.9731150Z                 'code': ['___check_obj_id(model, 140123419225984)'],
2022-11-23T01:32:36.9731296Z                 'obj_weakref': None
2022-11-23T01:32:36.9731554Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:36.9731655Z             }
2022-11-23T01:32:36.9731747Z             
2022-11-23T01:32:36.9731861Z  - 
2022-11-23T01:32:36.9732017Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:36.9732068Z             {
2022-11-23T01:32:36.9732259Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:36.9732502Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:36.9732647Z                 'obj_weakref': None
2022-11-23T01:32:36.9732898Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:36.9732992Z             }
2022-11-23T01:32:36.9733082Z             
2022-11-23T01:32:36.9733136Z  - 
2022-11-23T01:32:36.9733315Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:36.9733404Z             {
2022-11-23T01:32:36.9733551Z                 'guard_types': None,
2022-11-23T01:32:36.9733684Z                 'code': None,
2022-11-23T01:32:36.9733840Z                 'obj_weakref': None
2022-11-23T01:32:36.9733991Z                 'guarded_class': None
2022-11-23T01:32:36.9734041Z             }
2022-11-23T01:32:36.9734133Z             
2022-11-23T01:32:36.9734425Z [2022-11-23 01:14:21,264] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 15
2022-11-23T01:32:36.9734847Z [2022-11-23 01:14:24,038] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/iu/ciulwhajm6bvluxlttfinbhsf4oycyug3ijvuh4gpexmx3dkisi2.py
2022-11-23T01:32:36.9735172Z [2022-11-23 01:14:24,039] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 15
2022-11-23T01:32:36.9735211Z 
2022-11-23T01:32:36.9735341Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.9735440Z import torch
2022-11-23T01:32:36.9735540Z import random
2022-11-23T01:32:36.9735644Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.9735794Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.9735800Z 
2022-11-23T01:32:36.9735931Z aten = torch.ops.aten
2022-11-23T01:32:36.9736095Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.9736235Z async_compile = AsyncCompile()
2022-11-23T01:32:36.9736242Z 
2022-11-23T01:32:36.9736246Z 
2022-11-23T01:32:36.9736417Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.9736654Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.9736799Z extern "C" void kernel(bool* __restrict__ in_out_ptr0,
2022-11-23T01:32:36.9736889Z                        bool* __restrict__ in_out_ptr1,
2022-11-23T01:32:36.9737022Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:36.9737148Z                        bool* __restrict__ out_ptr0,
2022-11-23T01:32:36.9737276Z                        bool* __restrict__ out_ptr1)
2022-11-23T01:32:36.9737370Z {
2022-11-23T01:32:36.9737548Z     auto out_ptr2 = in_out_ptr0;
2022-11-23T01:32:36.9737660Z     auto out_ptr3 = in_out_ptr1;
2022-11-23T01:32:36.9737709Z     {
2022-11-23T01:32:36.9737802Z         {
2022-11-23T01:32:36.9737911Z             bool tmp2 = 0;
2022-11-23T01:32:36.9738014Z             bool tmp4 = 0;
2022-11-23T01:32:36.9738120Z             bool tmp8 = 0;
2022-11-23T01:32:36.9738225Z             bool tmp10 = 0;
2022-11-23T01:32:36.9738367Z             #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.9738419Z             {
2022-11-23T01:32:36.9738631Z                 #pragma omp for reduction(||:tmp2) reduction(||:tmp4) reduction(||:tmp8) reduction(||:tmp10) 
2022-11-23T01:32:36.9738756Z                 for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:36.9738849Z                 {
2022-11-23T01:32:36.9738945Z                     {
2022-11-23T01:32:36.9739067Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:36.9739205Z                         auto tmp1 = static_cast<bool>(tmp0);
2022-11-23T01:32:36.9739307Z                         auto tmp3 = std::isinf(tmp0);
2022-11-23T01:32:36.9739433Z                         auto tmp5 = tmp3 == 0;
2022-11-23T01:32:36.9739597Z                         auto tmp6 = static_cast<long>(tmp5);
2022-11-23T01:32:36.9739750Z                         auto tmp7 = static_cast<bool>(tmp6);
2022-11-23T01:32:36.9739871Z                         auto tmp9 = tmp5 == 0;
2022-11-23T01:32:36.9739987Z                         tmp2 = tmp2 || tmp1;
2022-11-23T01:32:36.9740103Z                         tmp4 = tmp4 || tmp3;
2022-11-23T01:32:36.9740176Z                         tmp8 = tmp8 || tmp7;
2022-11-23T01:32:36.9740292Z                         tmp10 = tmp10 || tmp9;
2022-11-23T01:32:36.9740401Z                     }
2022-11-23T01:32:36.9740495Z                 }
2022-11-23T01:32:36.9740586Z             }
2022-11-23T01:32:36.9740709Z             out_ptr0[0] = tmp2;
2022-11-23T01:32:36.9740816Z             out_ptr1[0] = tmp4;
2022-11-23T01:32:36.9740878Z             out_ptr2[0] = tmp8;
2022-11-23T01:32:36.9740983Z             out_ptr3[0] = tmp10;
2022-11-23T01:32:36.9741074Z         }
2022-11-23T01:32:36.9741170Z     }
2022-11-23T01:32:36.9741260Z     {
2022-11-23T01:32:36.9741351Z         {
2022-11-23T01:32:36.9741427Z             auto tmp0 = out_ptr2[0];
2022-11-23T01:32:36.9741572Z             auto tmp1 = tmp0 == 0;
2022-11-23T01:32:36.9741699Z             in_out_ptr0[0] = tmp1;
2022-11-23T01:32:36.9741789Z         }
2022-11-23T01:32:36.9741878Z     }
2022-11-23T01:32:36.9741974Z     {
2022-11-23T01:32:36.9742064Z         {
2022-11-23T01:32:36.9742135Z             auto tmp0 = out_ptr3[0];
2022-11-23T01:32:36.9742244Z             auto tmp1 = tmp0 == 0;
2022-11-23T01:32:36.9742391Z             in_out_ptr1[0] = tmp1;
2022-11-23T01:32:36.9742483Z         }
2022-11-23T01:32:36.9742589Z     }
2022-11-23T01:32:36.9742686Z }
2022-11-23T01:32:36.9742797Z ''')
2022-11-23T01:32:36.9742803Z 
2022-11-23T01:32:36.9742807Z 
2022-11-23T01:32:36.9742884Z async_compile.wait(globals())
2022-11-23T01:32:36.9742985Z del async_compile
2022-11-23T01:32:36.9742990Z 
2022-11-23T01:32:36.9743086Z def call(args):
2022-11-23T01:32:36.9743183Z     arg0_1, = args
2022-11-23T01:32:36.9743339Z     args.clear()
2022-11-23T01:32:36.9743551Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.bool)
2022-11-23T01:32:36.9743783Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.bool)
2022-11-23T01:32:36.9743944Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.bool)
2022-11-23T01:32:36.9744144Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.bool)
2022-11-23T01:32:36.9744258Z     buf4 = buf2; del buf2  # reuse
2022-11-23T01:32:36.9744371Z     buf5 = buf3; del buf3  # reuse
2022-11-23T01:32:36.9744717Z     kernel_cpp_0(c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:36.9744828Z     del arg0_1
2022-11-23T01:32:36.9744946Z     return (buf0, buf1, buf4, buf5, )
2022-11-23T01:32:36.9744951Z 
2022-11-23T01:32:36.9744955Z 
2022-11-23T01:32:36.9745067Z if __name__ == "__main__":
2022-11-23T01:32:36.9745173Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.9745347Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.9745573Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9745710Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:36.9745716Z 
2022-11-23T01:32:36.9745720Z 
2022-11-23T01:32:36.9745840Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.9745939Z import torch
2022-11-23T01:32:36.9746067Z import random
2022-11-23T01:32:36.9746220Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.9746327Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.9746332Z 
2022-11-23T01:32:36.9746438Z aten = torch.ops.aten
2022-11-23T01:32:36.9746619Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.9746739Z async_compile = AsyncCompile()
2022-11-23T01:32:36.9746744Z 
2022-11-23T01:32:36.9746749Z 
2022-11-23T01:32:36.9746910Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.9747143Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.9747287Z extern "C" void kernel(bool* __restrict__ in_out_ptr0,
2022-11-23T01:32:36.9747422Z                        bool* __restrict__ in_out_ptr1,
2022-11-23T01:32:36.9747514Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:36.9747637Z                        bool* __restrict__ out_ptr0,
2022-11-23T01:32:36.9747760Z                        bool* __restrict__ out_ptr1)
2022-11-23T01:32:36.9747879Z {
2022-11-23T01:32:36.9747992Z     auto out_ptr3 = in_out_ptr0;
2022-11-23T01:32:36.9748103Z     auto out_ptr2 = in_out_ptr1;
2022-11-23T01:32:36.9748230Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.9748279Z     {
2022-11-23T01:32:36.9748419Z         #pragma omp for 
2022-11-23T01:32:36.9748529Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:36.9748618Z         {
2022-11-23T01:32:36.9748711Z             {
2022-11-23T01:32:36.9748823Z                 {
2022-11-23T01:32:36.9748930Z                     bool tmp2 = 0;
2022-11-23T01:32:36.9749009Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:36.9749103Z                     {
2022-11-23T01:32:36.9749209Z                         {
2022-11-23T01:32:36.9749346Z                             auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:36.9749484Z                             auto tmp1 = static_cast<bool>(tmp0);
2022-11-23T01:32:36.9749603Z                             tmp2 = tmp2 || tmp1;
2022-11-23T01:32:36.9749737Z                         }
2022-11-23T01:32:36.9749791Z                     }
2022-11-23T01:32:36.9749920Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:36.9750021Z                 }
2022-11-23T01:32:36.9750116Z             }
2022-11-23T01:32:36.9750238Z         }
2022-11-23T01:32:36.9750327Z     }
2022-11-23T01:32:36.9750375Z     {
2022-11-23T01:32:36.9750467Z         {
2022-11-23T01:32:36.9750571Z             bool tmp2 = 0;
2022-11-23T01:32:36.9750700Z             bool tmp5 = 0;
2022-11-23T01:32:36.9750861Z             #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.9750953Z             {
2022-11-23T01:32:36.9751108Z                 #pragma omp for reduction(||:tmp2) reduction(||:tmp5) 
2022-11-23T01:32:36.9751187Z                 for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:36.9751281Z                 {
2022-11-23T01:32:36.9751377Z                     {
2022-11-23T01:32:36.9751499Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:36.9751636Z                         auto tmp1 = std::isinf(tmp0);
2022-11-23T01:32:36.9751768Z                         auto tmp3 = tmp1 == 0;
2022-11-23T01:32:36.9751907Z                         auto tmp4 = tmp3 == 0;
2022-11-23T01:32:36.9751982Z                         tmp2 = tmp2 || tmp1;
2022-11-23T01:32:36.9752099Z                         tmp5 = tmp5 || tmp4;
2022-11-23T01:32:36.9752222Z                     }
2022-11-23T01:32:36.9752317Z                 }
2022-11-23T01:32:36.9752407Z             }
2022-11-23T01:32:36.9752515Z             out_ptr1[0] = tmp2;
2022-11-23T01:32:36.9752630Z             out_ptr2[0] = tmp5;
2022-11-23T01:32:36.9752680Z         }
2022-11-23T01:32:36.9752769Z     }
2022-11-23T01:32:36.9752917Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.9753009Z     {
2022-11-23T01:32:36.9753116Z         #pragma omp for 
2022-11-23T01:32:36.9753225Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:36.9753275Z         {
2022-11-23T01:32:36.9753366Z             {
2022-11-23T01:32:36.9753466Z                 {
2022-11-23T01:32:36.9753573Z                     bool tmp5 = 0;
2022-11-23T01:32:36.9753692Z                     for(long i1=0; i1<16; i1+=1)
2022-11-23T01:32:36.9753805Z                     {
2022-11-23T01:32:36.9753901Z                         {
2022-11-23T01:32:36.9753992Z                             auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T01:32:36.9754157Z                             auto tmp1 = std::isinf(tmp0);
2022-11-23T01:32:36.9754280Z                             auto tmp2 = tmp1 == 0;
2022-11-23T01:32:36.9754424Z                             auto tmp3 = static_cast<long>(tmp2);
2022-11-23T01:32:36.9754559Z                             auto tmp4 = static_cast<bool>(tmp3);
2022-11-23T01:32:36.9754676Z                             tmp5 = tmp5 || tmp4;
2022-11-23T01:32:36.9754773Z                         }
2022-11-23T01:32:36.9754889Z                     }
2022-11-23T01:32:36.9754961Z                     out_ptr3[i0] = tmp5;
2022-11-23T01:32:36.9755053Z                 }
2022-11-23T01:32:36.9755147Z             }
2022-11-23T01:32:36.9755245Z         }
2022-11-23T01:32:36.9755350Z         #pragma omp for 
2022-11-23T01:32:36.9755459Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:36.9755510Z         {
2022-11-23T01:32:36.9755601Z             {
2022-11-23T01:32:36.9755696Z                 {
2022-11-23T01:32:36.9755836Z                     auto tmp0 = out_ptr3[i0];
2022-11-23T01:32:36.9755983Z                     auto tmp1 = tmp0 == 0;
2022-11-23T01:32:36.9756107Z                     in_out_ptr0[i0] = tmp1;
2022-11-23T01:32:36.9756201Z                 }
2022-11-23T01:32:36.9756251Z             }
2022-11-23T01:32:36.9756340Z         }
2022-11-23T01:32:36.9756446Z         #pragma omp single
2022-11-23T01:32:36.9756537Z         {
2022-11-23T01:32:36.9756627Z             {
2022-11-23T01:32:36.9756738Z                 {
2022-11-23T01:32:36.9756816Z                     auto tmp0 = out_ptr2[0];
2022-11-23T01:32:36.9756940Z                     auto tmp1 = tmp0 == 0;
2022-11-23T01:32:36.9757093Z                     in_out_ptr1[0] = tmp1;
2022-11-23T01:32:36.9757304Z                 }
2022-11-23T01:32:36.9757395Z             }
2022-11-23T01:32:36.9757486Z         }
2022-11-23T01:32:36.9757575Z     }
2022-11-23T01:32:36.9757622Z }
2022-11-23T01:32:36.9757753Z ''')
2022-11-23T01:32:36.9757759Z 
2022-11-23T01:32:36.9757763Z 
2022-11-23T01:32:36.9757944Z async_compile.wait(globals())
2022-11-23T01:32:36.9758046Z del async_compile
2022-11-23T01:32:36.9758051Z 
2022-11-23T01:32:36.9758207Z def call(args):
2022-11-23T01:32:36.9758307Z     arg0_1, = args
2022-11-23T01:32:36.9758408Z     args.clear()
2022-11-23T01:32:36.9758589Z     buf0 = empty_strided((16, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:36.9758798Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.bool)
2022-11-23T01:32:36.9759045Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.bool)
2022-11-23T01:32:36.9759261Z     buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:36.9759396Z     buf4 = buf2; del buf2  # reuse
2022-11-23T01:32:36.9759506Z     buf5 = buf3; del buf3  # reuse
2022-11-23T01:32:36.9759744Z     kernel_cpp_0(c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:36.9759840Z     del arg0_1
2022-11-23T01:32:36.9759916Z     return (buf0, buf1, buf4, buf5, )
2022-11-23T01:32:36.9759921Z 
2022-11-23T01:32:36.9759977Z 
2022-11-23T01:32:36.9760041Z if __name__ == "__main__":
2022-11-23T01:32:36.9760184Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.9760334Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.9760587Z     arg0_1 = rand_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9760743Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:36.9760748Z 
2022-11-23T01:32:36.9760842Z ok (5.416s)
2022-11-23T01:32:36.9761180Z   test_arange1_cpu (__main__.CpuTests) ... [2022-11-23 01:14:24,049] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:36.9761494Z [2022-11-23 01:14:24,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:36.9818630Z [2022-11-23 01:14:24,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:36.9819068Z [2022-11-23 01:14:24,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:36.9819372Z [2022-11-23 01:14:24,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:36.9819711Z [2022-11-23 01:14:24,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:36.9820025Z [2022-11-23 01:14:24,050] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6471150, file "inductor/test_torchinductor.py", line 878> 
2022-11-23T01:32:36.9820128Z  879           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:36.9820224Z               2 LOAD_ATTR                1 (arange)
2022-11-23T01:32:36.9820317Z               4 LOAD_CONST               1 (64)
2022-11-23T01:32:36.9820413Z               6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:36.9820509Z               8 LOAD_ATTR                2 (float32)
2022-11-23T01:32:36.9820598Z              10 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9820678Z              12 LOAD_ATTR                3 (device)
2022-11-23T01:32:36.9820838Z              14 LOAD_CONST               2 (('dtype', 'device'))
2022-11-23T01:32:36.9820930Z              16 CALL_FUNCTION_KW         3
2022-11-23T01:32:36.9821021Z              18 LOAD_METHOD              4 (view)
2022-11-23T01:32:36.9821111Z              20 LOAD_CONST               3 (8)
2022-11-23T01:32:36.9821198Z              22 LOAD_CONST               3 (8)
2022-11-23T01:32:36.9821285Z              24 CALL_METHOD              2
2022-11-23T01:32:36.9821564Z              26 STORE_FAST               1 (rng1)
2022-11-23T01:32:36.9821571Z 
2022-11-23T01:32:36.9821649Z 880          28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:36.9821740Z              30 LOAD_ATTR                1 (arange)
2022-11-23T01:32:36.9821829Z              32 LOAD_CONST               4 (10)
2022-11-23T01:32:36.9821919Z              34 LOAD_CONST               5 (18)
2022-11-23T01:32:36.9822053Z              36 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9822144Z              38 LOAD_ATTR                3 (device)
2022-11-23T01:32:36.9822296Z              40 LOAD_CONST               6 (('device',))
2022-11-23T01:32:36.9822375Z              42 CALL_FUNCTION_KW         3
2022-11-23T01:32:36.9822466Z              44 STORE_FAST               2 (rng2)
2022-11-23T01:32:36.9822472Z 
2022-11-23T01:32:36.9822557Z 881          46 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9822647Z              48 LOAD_FAST                1 (rng1)
2022-11-23T01:32:36.9822733Z              50 BINARY_MULTIPLY
2022-11-23T01:32:36.9822824Z              52 STORE_FAST               3 (tmp)
2022-11-23T01:32:36.9822830Z 
2022-11-23T01:32:36.9822919Z 882          54 LOAD_FAST                3 (tmp)
2022-11-23T01:32:36.9823010Z              56 LOAD_FAST                3 (tmp)
2022-11-23T01:32:36.9823085Z              58 LOAD_FAST                2 (rng2)
2022-11-23T01:32:36.9823161Z              60 BINARY_ADD
2022-11-23T01:32:36.9823253Z              62 BUILD_TUPLE              2
2022-11-23T01:32:36.9823329Z              64 RETURN_VALUE
2022-11-23T01:32:36.9823392Z  
2022-11-23T01:32:36.9823397Z 
2022-11-23T01:32:36.9823673Z [2022-11-23 01:14:24,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:879
2022-11-23T01:32:36.9823901Z [2022-11-23 01:14:24,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:36.9824273Z [2022-11-23 01:14:24,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:36.9824672Z [2022-11-23 01:14:24,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:36.9825046Z [2022-11-23 01:14:24,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>), ConstantVariable(int)]
2022-11-23T01:32:36.9825564Z [2022-11-23 01:14:24,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:36.9825969Z [2022-11-23 01:14:24,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(dtype)]
2022-11-23T01:32:36.9826412Z [2022-11-23 01:14:24,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(dtype), TensorVariable()]
2022-11-23T01:32:36.9826874Z [2022-11-23 01:14:24,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu)]
2022-11-23T01:32:36.9827358Z [2022-11-23 01:14:24,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:36.9827600Z [2022-11-23 01:14:24,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:36.9827911Z [2022-11-23 01:14:24,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:36.9828222Z [2022-11-23 01:14:24,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int)]
2022-11-23T01:32:36.9828607Z [2022-11-23 01:14:24,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:36.9828854Z [2022-11-23 01:14:24,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST rng1 [TensorVariable()]
2022-11-23T01:32:36.9829124Z [2022-11-23 01:14:24,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:880
2022-11-23T01:32:36.9829341Z [2022-11-23 01:14:24,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:36.9829693Z [2022-11-23 01:14:24,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:36.9830017Z [2022-11-23 01:14:24,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:36.9830380Z [2022-11-23 01:14:24,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 18 [TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>), ConstantVariable(int)]
2022-11-23T01:32:36.9830771Z [2022-11-23 01:14:24,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:36.9831198Z [2022-11-23 01:14:24,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:36.9831639Z [2022-11-23 01:14:24,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(int), TorchVariable(cpu)]
2022-11-23T01:32:36.9832119Z [2022-11-23 01:14:24,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:36.9832357Z [2022-11-23 01:14:24,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST rng2 [TensorVariable()]
2022-11-23T01:32:36.9832622Z [2022-11-23 01:14:24,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:881
2022-11-23T01:32:36.9832827Z [2022-11-23 01:14:24,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:36.9833067Z [2022-11-23 01:14:24,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rng1 [TensorVariable()]
2022-11-23T01:32:36.9833349Z [2022-11-23 01:14:24,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9833573Z [2022-11-23 01:14:24,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()]
2022-11-23T01:32:36.9833837Z [2022-11-23 01:14:24,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:882
2022-11-23T01:32:36.9834050Z [2022-11-23 01:14:24,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp []
2022-11-23T01:32:36.9834292Z [2022-11-23 01:14:24,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable()]
2022-11-23T01:32:36.9834560Z [2022-11-23 01:14:24,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rng2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9834856Z [2022-11-23 01:14:24,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9835155Z [2022-11-23 01:14:24,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9835396Z [2022-11-23 01:14:24,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.9835753Z [2022-11-23 01:14:24,068] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6471150, file "inductor/test_torchinductor.py", line 878>
2022-11-23T01:32:36.9835984Z [2022-11-23 01:14:24,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.9836217Z [2022-11-23 01:14:24,068] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:36.9836470Z [2022-11-23 01:14:24,070] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:36.9836715Z [2022-11-23 01:14:24,080] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:36.9836902Z [2022-11-23 01:14:24,081] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:36.9837035Z  __compiled_fn_17 <eval_with_key>.116 opcode, name, target, args, kwargs
2022-11-23T01:32:36.9837228Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:36.9837549Z call_function, arange, <built-in method arange of type object at 0x7f71f2abebc0>, (64,), {'dtype': torch.float32, 'device': device(type='cpu')}
2022-11-23T01:32:36.9837653Z call_method, view, view, (arange, 8, 8), {}
2022-11-23T01:32:36.9837916Z call_function, arange_1, <built-in method arange of type object at 0x7f71f2abebc0>, (10, 18), {'device': device(type='cpu')}
2022-11-23T01:32:36.9838091Z call_function, mul, <built-in function mul>, (ex_0_, view), {}
2022-11-23T01:32:36.9838274Z call_function, add, <built-in function add>, (mul, arange_1), {}
2022-11-23T01:32:36.9838376Z output, output, output, ((mul, add),), {}
2022-11-23T01:32:36.9838382Z 
2022-11-23T01:32:36.9838661Z [2022-11-23 01:14:24,081] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9838755Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:36.9838846Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9838939Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:36.9839017Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:36.9839094Z               8 RETURN_VALUE
2022-11-23T01:32:36.9839102Z 
2022-11-23T01:32:36.9839165Z  
2022-11-23T01:32:36.9839437Z [2022-11-23 01:14:24,081] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9839547Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_17)
2022-11-23T01:32:36.9839636Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9839725Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9839802Z               6 BINARY_SUBSCR
2022-11-23T01:32:36.9839881Z               8 CALL_FUNCTION            1
2022-11-23T01:32:36.9839983Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:36.9840082Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.9840173Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9840246Z              16 BINARY_SUBSCR
2022-11-23T01:32:36.9840343Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.9840433Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:36.9840495Z              22 BINARY_SUBSCR
2022-11-23T01:32:36.9840583Z              24 BUILD_TUPLE              2
2022-11-23T01:32:36.9840657Z              26 RETURN_VALUE
2022-11-23T01:32:36.9840663Z 
2022-11-23T01:32:36.9840723Z  
2022-11-23T01:32:36.9840905Z [2022-11-23 01:14:24,083] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:36.9840975Z  - 
2022-11-23T01:32:36.9841093Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:36.9841144Z             {
2022-11-23T01:32:36.9841328Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:36.9841513Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:36.9841631Z                 'obj_weakref': None
2022-11-23T01:32:36.9841854Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:36.9841919Z             }
2022-11-23T01:32:36.9841984Z             
2022-11-23T01:32:36.9842041Z  - 
2022-11-23T01:32:36.9842197Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:36.9842262Z             {
2022-11-23T01:32:36.9842399Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:36.9842569Z                 'code': ['___check_type_id(ex[0], 107271106909856)'],
2022-11-23T01:32:36.9842776Z                 'obj_weakref': <weakref at 0x7f710627c170; to 'Tensor' at 0x7f71c25cd770>
2022-11-23T01:32:36.9843023Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.9843077Z             }
2022-11-23T01:32:36.9843140Z             
2022-11-23T01:32:36.9843208Z  - 
2022-11-23T01:32:36.9843332Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:36.9843395Z             {
2022-11-23T01:32:36.9843536Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.9843642Z                 'code': None,
2022-11-23T01:32:36.9843837Z                 'obj_weakref': <weakref at 0x7f710627c170; to 'Tensor' at 0x7f71c25cd770>
2022-11-23T01:32:36.9844082Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.9844145Z             }
2022-11-23T01:32:36.9844207Z             
2022-11-23T01:32:36.9844275Z  - 
2022-11-23T01:32:36.9844404Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:36.9844467Z             {
2022-11-23T01:32:36.9844586Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:36.9844752Z                 'code': ['___check_obj_id(model, 140124011141456)'],
2022-11-23T01:32:36.9844872Z                 'obj_weakref': None
2022-11-23T01:32:36.9845097Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:36.9845161Z             }
2022-11-23T01:32:36.9845223Z             
2022-11-23T01:32:36.9845291Z  - 
2022-11-23T01:32:36.9845398Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:36.9845461Z             {
2022-11-23T01:32:36.9845598Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:36.9845814Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:36.9845931Z                 'obj_weakref': None
2022-11-23T01:32:36.9846148Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:36.9846211Z             }
2022-11-23T01:32:36.9846260Z             
2022-11-23T01:32:36.9846327Z  - 
2022-11-23T01:32:36.9846458Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:36.9846524Z             {
2022-11-23T01:32:36.9846643Z                 'guard_types': None,
2022-11-23T01:32:36.9846750Z                 'code': None,
2022-11-23T01:32:36.9846866Z                 'obj_weakref': None
2022-11-23T01:32:36.9846972Z                 'guarded_class': None
2022-11-23T01:32:36.9847034Z             }
2022-11-23T01:32:36.9847097Z             
2022-11-23T01:32:36.9847165Z  - 
2022-11-23T01:32:36.9847317Z             global 'torch.float32' CONSTANT_MATCH
2022-11-23T01:32:36.9847379Z             {
2022-11-23T01:32:36.9847519Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:36.9847679Z                 'code': ["str(torch.float32) == 'torch.float32'"],
2022-11-23T01:32:36.9847795Z                 'obj_weakref': None
2022-11-23T01:32:36.9848013Z                 'guarded_class': <weakref at 0x7f71931398f0; to 'type' at 0x7f71f278dc60 (dtype)>
2022-11-23T01:32:36.9848077Z             }
2022-11-23T01:32:36.9848140Z             
2022-11-23T01:32:36.9848432Z [2022-11-23 01:14:24,099] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 16
2022-11-23T01:32:36.9848798Z [2022-11-23 01:14:26,700] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vf/cvfyzkotzfq4gy2kzp556kmr3z3ognp6ngphu2bzw3b555minazm.py
2022-11-23T01:32:36.9849046Z [2022-11-23 01:14:26,700] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 16
2022-11-23T01:32:36.9849064Z 
2022-11-23T01:32:36.9849171Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.9849240Z import torch
2022-11-23T01:32:36.9849309Z import random
2022-11-23T01:32:36.9849421Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.9849544Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.9849548Z 
2022-11-23T01:32:36.9849628Z aten = torch.ops.aten
2022-11-23T01:32:36.9849762Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.9849840Z async_compile = AsyncCompile()
2022-11-23T01:32:36.9849847Z 
2022-11-23T01:32:36.9849864Z 
2022-11-23T01:32:36.9849983Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.9850188Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.9850306Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:36.9850407Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:36.9850502Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:36.9850565Z {
2022-11-23T01:32:36.9850663Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.9850712Z     {
2022-11-23T01:32:36.9850790Z         #pragma omp for 
2022-11-23T01:32:36.9850872Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:36.9850935Z         {
2022-11-23T01:32:36.9850998Z             {
2022-11-23T01:32:36.9851062Z                 {
2022-11-23T01:32:36.9851141Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:36.9851245Z                     auto tmp1 = static_cast<float>(i0);
2022-11-23T01:32:36.9851337Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:36.9851422Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:36.9851486Z                 }
2022-11-23T01:32:36.9851549Z             }
2022-11-23T01:32:36.9851612Z         }
2022-11-23T01:32:36.9851675Z         #pragma omp for 
2022-11-23T01:32:36.9851756Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:36.9851819Z         {
2022-11-23T01:32:36.9851901Z             #pragma GCC ivdep
2022-11-23T01:32:36.9851984Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:36.9852046Z             {
2022-11-23T01:32:36.9852112Z                 {
2022-11-23T01:32:36.9852166Z                     {
2022-11-23T01:32:36.9852268Z                         auto tmp0 = out_ptr0[i1 + (8*i0)];
2022-11-23T01:32:36.9852378Z                         auto tmp1 = static_cast<long>(10 + i1);
2022-11-23T01:32:36.9852485Z                         auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:32:36.9852580Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:36.9852674Z                         out_ptr1[i1 + (8*i0)] = tmp3;
2022-11-23T01:32:36.9852740Z                     }
2022-11-23T01:32:36.9852791Z                 }
2022-11-23T01:32:36.9852856Z             }
2022-11-23T01:32:36.9852922Z         }
2022-11-23T01:32:36.9852983Z     }
2022-11-23T01:32:36.9853042Z }
2022-11-23T01:32:36.9853121Z ''')
2022-11-23T01:32:36.9853126Z 
2022-11-23T01:32:36.9853130Z 
2022-11-23T01:32:36.9853221Z async_compile.wait(globals())
2022-11-23T01:32:36.9853280Z del async_compile
2022-11-23T01:32:36.9853284Z 
2022-11-23T01:32:36.9853353Z def call(args):
2022-11-23T01:32:36.9853420Z     arg0_1, = args
2022-11-23T01:32:36.9853490Z     args.clear()
2022-11-23T01:32:36.9853683Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9853875Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9854038Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:36.9854124Z     del arg0_1
2022-11-23T01:32:36.9854200Z     return (buf0, buf1, )
2022-11-23T01:32:36.9854205Z 
2022-11-23T01:32:36.9854209Z 
2022-11-23T01:32:36.9854285Z if __name__ == "__main__":
2022-11-23T01:32:36.9854398Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.9854519Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.9854746Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9854856Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:36.9854861Z 
2022-11-23T01:32:36.9854927Z ok (2.663s)
2022-11-23T01:32:36.9855233Z   test_arange2_cpu (__main__.CpuTests) ... [2022-11-23 01:14:26,715] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:36.9855492Z [2022-11-23 01:14:26,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:36.9855711Z [2022-11-23 01:14:26,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:36.9855962Z [2022-11-23 01:14:26,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:36.9856245Z [2022-11-23 01:14:26,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:36.9856570Z [2022-11-23 01:14:26,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:36.9856890Z [2022-11-23 01:14:26,716] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6471270, file "inductor/test_torchinductor.py", line 887> 
2022-11-23T01:32:36.9856983Z  888           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:36.9857075Z               2 LOAD_ATTR                1 (arange)
2022-11-23T01:32:36.9857164Z               4 LOAD_CONST               1 (8)
2022-11-23T01:32:36.9857243Z               6 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9857333Z               8 LOAD_ATTR                2 (device)
2022-11-23T01:32:36.9857481Z              10 LOAD_CONST               2 (('device',))
2022-11-23T01:32:36.9857571Z              12 CALL_FUNCTION_KW         2
2022-11-23T01:32:36.9857664Z              14 STORE_FAST               1 (rng1)
2022-11-23T01:32:36.9857669Z 
2022-11-23T01:32:36.9857759Z 889          16 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9857850Z              18 LOAD_FAST                1 (rng1)
2022-11-23T01:32:36.9857910Z              20 BINARY_ADD
2022-11-23T01:32:36.9857998Z              22 BUILD_TUPLE              1
2022-11-23T01:32:36.9858075Z              24 RETURN_VALUE
2022-11-23T01:32:36.9858135Z  
2022-11-23T01:32:36.9858141Z 
2022-11-23T01:32:36.9858407Z [2022-11-23 01:14:26,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:888
2022-11-23T01:32:36.9858623Z [2022-11-23 01:14:26,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:36.9858993Z [2022-11-23 01:14:26,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:36.9859407Z [2022-11-23 01:14:26,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:36.9859782Z [2022-11-23 01:14:26,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>), ConstantVariable(int)]
2022-11-23T01:32:36.9860248Z [2022-11-23 01:14:26,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:36.9860662Z [2022-11-23 01:14:26,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>), ConstantVariable(int), TorchVariable(cpu)]
2022-11-23T01:32:36.9861151Z [2022-11-23 01:14:26,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:36.9861447Z [2022-11-23 01:14:26,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST rng1 [TensorVariable()]
2022-11-23T01:32:36.9861717Z [2022-11-23 01:14:26,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:889
2022-11-23T01:32:36.9861925Z [2022-11-23 01:14:26,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:36.9862163Z [2022-11-23 01:14:26,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rng1 [TensorVariable()]
2022-11-23T01:32:36.9862435Z [2022-11-23 01:14:26,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9862678Z [2022-11-23 01:14:26,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:36.9862923Z [2022-11-23 01:14:26,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.9863251Z [2022-11-23 01:14:26,727] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6471270, file "inductor/test_torchinductor.py", line 887>
2022-11-23T01:32:36.9863482Z [2022-11-23 01:14:26,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.9863788Z [2022-11-23 01:14:26,727] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:36.9864048Z [2022-11-23 01:14:26,730] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:36.9864295Z [2022-11-23 01:14:26,740] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:36.9864603Z [2022-11-23 01:14:26,741] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:36.9864748Z  __compiled_fn_18 <eval_with_key>.122 opcode, name, target, args, kwargs
2022-11-23T01:32:36.9864840Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:36.9865117Z call_function, arange, <built-in method arange of type object at 0x7f71f2abebc0>, (8,), {'device': device(type='cpu')}
2022-11-23T01:32:36.9865311Z call_function, add, <built-in function add>, (ex_0_, arange), {}
2022-11-23T01:32:36.9865447Z output, output, output, ((add,),), {}
2022-11-23T01:32:36.9865452Z 
2022-11-23T01:32:36.9865734Z [2022-11-23 01:14:26,741] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9865830Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:36.9865922Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9866015Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:36.9866144Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:36.9866251Z               8 RETURN_VALUE
2022-11-23T01:32:36.9866256Z 
2022-11-23T01:32:36.9866305Z  
2022-11-23T01:32:36.9866584Z [2022-11-23 01:14:26,741] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9866693Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_18)
2022-11-23T01:32:36.9866785Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9866889Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9867012Z               6 BINARY_SUBSCR
2022-11-23T01:32:36.9867103Z               8 CALL_FUNCTION            1
2022-11-23T01:32:36.9867207Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:36.9867295Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.9867384Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9867504Z              16 BINARY_SUBSCR
2022-11-23T01:32:36.9867591Z              18 BUILD_TUPLE              1
2022-11-23T01:32:36.9867678Z              20 RETURN_VALUE
2022-11-23T01:32:36.9867685Z 
2022-11-23T01:32:36.9867784Z  
2022-11-23T01:32:36.9867981Z [2022-11-23 01:14:26,743] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:36.9868037Z  - 
2022-11-23T01:32:36.9868157Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:36.9868224Z             {
2022-11-23T01:32:36.9868401Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:36.9868656Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:36.9868779Z                 'obj_weakref': None
2022-11-23T01:32:36.9869003Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:36.9869055Z             }
2022-11-23T01:32:36.9869120Z             
2022-11-23T01:32:36.9869190Z  - 
2022-11-23T01:32:36.9869352Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:36.9869440Z             {
2022-11-23T01:32:36.9869583Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:36.9869750Z                 'code': ['___check_type_id(ex[0], 107271106909856)'],
2022-11-23T01:32:36.9869947Z                 'obj_weakref': <weakref at 0x7f7106253d70; to 'Tensor' at 0x7f71c221afb0>
2022-11-23T01:32:36.9870255Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.9870325Z             }
2022-11-23T01:32:36.9870390Z             
2022-11-23T01:32:36.9870463Z  - 
2022-11-23T01:32:36.9870587Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:36.9870651Z             {
2022-11-23T01:32:36.9870782Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.9870926Z                 'code': None,
2022-11-23T01:32:36.9871165Z                 'obj_weakref': <weakref at 0x7f7106253d70; to 'Tensor' at 0x7f71c221afb0>
2022-11-23T01:32:36.9871409Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.9871476Z             }
2022-11-23T01:32:36.9871535Z             
2022-11-23T01:32:36.9871603Z  - 
2022-11-23T01:32:36.9871719Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:36.9871778Z             {
2022-11-23T01:32:36.9871911Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:36.9872079Z                 'code': ['___check_obj_id(model, 140124010754560)'],
2022-11-23T01:32:36.9872194Z                 'obj_weakref': None
2022-11-23T01:32:36.9872421Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:36.9872485Z             }
2022-11-23T01:32:36.9872535Z             
2022-11-23T01:32:36.9872605Z  - 
2022-11-23T01:32:36.9872725Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:36.9872787Z             {
2022-11-23T01:32:36.9872921Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:36.9873139Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:36.9873258Z                 'obj_weakref': None
2022-11-23T01:32:36.9873461Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:36.9873523Z             }
2022-11-23T01:32:36.9873585Z             
2022-11-23T01:32:36.9873652Z  - 
2022-11-23T01:32:36.9873785Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:36.9873849Z             {
2022-11-23T01:32:36.9873968Z                 'guard_types': None,
2022-11-23T01:32:36.9874061Z                 'code': None,
2022-11-23T01:32:36.9874176Z                 'obj_weakref': None
2022-11-23T01:32:36.9874296Z                 'guarded_class': None
2022-11-23T01:32:36.9874358Z             }
2022-11-23T01:32:36.9874421Z             
2022-11-23T01:32:36.9874677Z [2022-11-23 01:14:26,757] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 17
2022-11-23T01:32:36.9875077Z [2022-11-23 01:14:29,325] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6a/c6a4cm4rd7r7ctiqnt2oea4chlg4pf24jrad6anl6fp422dwyzvw.py
2022-11-23T01:32:36.9875341Z [2022-11-23 01:14:29,325] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 17
2022-11-23T01:32:36.9875347Z 
2022-11-23T01:32:36.9875426Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.9875494Z import torch
2022-11-23T01:32:36.9875562Z import random
2022-11-23T01:32:36.9875709Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.9875831Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.9875836Z 
2022-11-23T01:32:36.9875914Z aten = torch.ops.aten
2022-11-23T01:32:36.9876052Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.9876131Z async_compile = AsyncCompile()
2022-11-23T01:32:36.9876150Z 
2022-11-23T01:32:36.9876155Z 
2022-11-23T01:32:36.9876274Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.9876481Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.9876598Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:36.9876695Z                        long* __restrict__ out_ptr0)
2022-11-23T01:32:36.9876757Z {
2022-11-23T01:32:36.9876855Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.9876917Z     {
2022-11-23T01:32:36.9876980Z         #pragma omp for 
2022-11-23T01:32:36.9877064Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:36.9877237Z         {
2022-11-23T01:32:36.9877320Z             #pragma GCC ivdep
2022-11-23T01:32:36.9877408Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:36.9877473Z             {
2022-11-23T01:32:36.9877523Z                 {
2022-11-23T01:32:36.9877593Z                     {
2022-11-23T01:32:36.9877696Z                         auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:36.9877802Z                         auto tmp1 = static_cast<long>(i1);
2022-11-23T01:32:36.9877900Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:36.9877996Z                         out_ptr0[i1 + (8*i0)] = tmp2;
2022-11-23T01:32:36.9878064Z                     }
2022-11-23T01:32:36.9878130Z                 }
2022-11-23T01:32:36.9878180Z             }
2022-11-23T01:32:36.9878243Z         }
2022-11-23T01:32:36.9878306Z     }
2022-11-23T01:32:36.9878367Z }
2022-11-23T01:32:36.9878447Z ''')
2022-11-23T01:32:36.9878453Z 
2022-11-23T01:32:36.9878457Z 
2022-11-23T01:32:36.9878550Z async_compile.wait(globals())
2022-11-23T01:32:36.9878608Z del async_compile
2022-11-23T01:32:36.9878624Z 
2022-11-23T01:32:36.9878681Z def call(args):
2022-11-23T01:32:36.9878749Z     arg0_1, = args
2022-11-23T01:32:36.9878819Z     args.clear()
2022-11-23T01:32:36.9879010Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:36.9879142Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:36.9879210Z     del arg0_1
2022-11-23T01:32:36.9879282Z     return (buf0, )
2022-11-23T01:32:36.9879287Z 
2022-11-23T01:32:36.9879291Z 
2022-11-23T01:32:36.9879353Z if __name__ == "__main__":
2022-11-23T01:32:36.9879465Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.9879586Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.9879777Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:36.9879884Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:36.9879889Z 
2022-11-23T01:32:36.9879955Z ok (2.622s)
2022-11-23T01:32:36.9880257Z   test_arange3_cpu (__main__.CpuTests) ... [2022-11-23 01:14:29,334] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:36.9880527Z [2022-11-23 01:14:29,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:36.9880732Z [2022-11-23 01:14:29,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:36.9881042Z [2022-11-23 01:14:29,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:36.9881327Z [2022-11-23 01:14:29,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:36.9881652Z [2022-11-23 01:14:29,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:36.9882014Z [2022-11-23 01:14:29,335] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6471390, file "inductor/test_torchinductor.py", line 894> 
2022-11-23T01:32:36.9882110Z  895           0 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9882205Z               2 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:36.9882299Z               4 LOAD_ATTR                1 (ops)
2022-11-23T01:32:36.9882393Z               6 LOAD_ATTR                2 (aten)
2022-11-23T01:32:36.9882472Z               8 LOAD_ATTR                3 (arange)
2022-11-23T01:32:36.9882573Z              10 LOAD_ATTR                4 (start_step)
2022-11-23T01:32:36.9882579Z 
2022-11-23T01:32:36.9882672Z 896          12 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9882762Z              14 LOAD_CONST               2 (53)
2022-11-23T01:32:36.9882850Z              16 LOAD_CONST               3 (4)
2022-11-23T01:32:36.9882943Z              18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:36.9883032Z              20 LOAD_ATTR                5 (int64)
2022-11-23T01:32:36.9883107Z              22 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9883197Z              24 LOAD_ATTR                6 (device)
2022-11-23T01:32:36.9883359Z              26 LOAD_CONST               4 (('dtype', 'device'))
2022-11-23T01:32:36.9883450Z              28 CALL_FUNCTION_KW         5
2022-11-23T01:32:36.9883526Z              30 BINARY_ADD
2022-11-23T01:32:36.9883603Z              32 RETURN_VALUE
2022-11-23T01:32:36.9883664Z  
2022-11-23T01:32:36.9883672Z 
2022-11-23T01:32:36.9883942Z [2022-11-23 01:14:29,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:895
2022-11-23T01:32:36.9884138Z [2022-11-23 01:14:29,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:36.9884388Z [2022-11-23 01:14:29,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:36.9884790Z [2022-11-23 01:14:29,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:36.9885109Z [2022-11-23 01:14:29,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TensorVariable(), TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:36.9885443Z [2022-11-23 01:14:29,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:36.9885740Z [2022-11-23 01:14:29,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR start_step [TensorVariable(), TorchVariable(aten.arange)]
2022-11-23T01:32:36.9886004Z [2022-11-23 01:14:29,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:896
2022-11-23T01:32:36.9886305Z [2022-11-23 01:14:29,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.arange.start_step)]
2022-11-23T01:32:36.9886645Z [2022-11-23 01:14:29,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 53 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int)]
2022-11-23T01:32:36.9887021Z [2022-11-23 01:14:29,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:36.9887450Z [2022-11-23 01:14:29,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:36.9888138Z [2022-11-23 01:14:29,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR int64 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:36.9888724Z [2022-11-23 01:14:29,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype)]
2022-11-23T01:32:36.9889274Z [2022-11-23 01:14:29,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TensorVariable()]
2022-11-23T01:32:36.9889797Z [2022-11-23 01:14:29,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu)]
2022-11-23T01:32:36.9890411Z [2022-11-23 01:14:29,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:36.9890706Z [2022-11-23 01:14:29,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9890995Z [2022-11-23 01:14:29,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:36.9891325Z [2022-11-23 01:14:29,356] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6471390, file "inductor/test_torchinductor.py", line 894>
2022-11-23T01:32:36.9891637Z [2022-11-23 01:14:29,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:36.9891878Z [2022-11-23 01:14:29,356] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:36.9892133Z [2022-11-23 01:14:29,358] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:36.9892452Z [2022-11-23 01:14:29,365] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:36.9892643Z [2022-11-23 01:14:29,366] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:36.9892765Z  __compiled_fn_19 <eval_with_key>.128 opcode, name, target, args, kwargs
2022-11-23T01:32:36.9892853Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:36.9893132Z call_function, arange_start_step, aten.arange.start_step, (0, 53, 4), {'dtype': torch.int64, 'device': device(type='cpu')}
2022-11-23T01:32:36.9893333Z call_function, add, <built-in function add>, (ex_0_, arange_start_step), {}
2022-11-23T01:32:36.9893428Z output, output, output, ((add,),), {}
2022-11-23T01:32:36.9893434Z 
2022-11-23T01:32:36.9893708Z [2022-11-23 01:14:29,366] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9893803Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:36.9893897Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9893975Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:36.9894065Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:36.9894140Z               8 RETURN_VALUE
2022-11-23T01:32:36.9894145Z 
2022-11-23T01:32:36.9894205Z  
2022-11-23T01:32:36.9894480Z [2022-11-23 01:14:29,366] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9894584Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_19)
2022-11-23T01:32:36.9894710Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9894798Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9894863Z               6 BINARY_SUBSCR
2022-11-23T01:32:36.9894950Z               8 CALL_FUNCTION            1
2022-11-23T01:32:36.9895041Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:36.9895117Z              12 RETURN_VALUE
2022-11-23T01:32:36.9895121Z 
2022-11-23T01:32:36.9895209Z  
2022-11-23T01:32:36.9895391Z [2022-11-23 01:14:29,368] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:36.9895458Z  - 
2022-11-23T01:32:36.9895564Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:36.9895628Z             {
2022-11-23T01:32:36.9895767Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:36.9895950Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:36.9896068Z                 'obj_weakref': None
2022-11-23T01:32:36.9896293Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:36.9896358Z             }
2022-11-23T01:32:36.9896408Z             
2022-11-23T01:32:36.9896476Z  - 
2022-11-23T01:32:36.9896598Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:36.9896660Z             {
2022-11-23T01:32:36.9896798Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:36.9896968Z                 'code': ['___check_type_id(ex[0], 107271106909856)'],
2022-11-23T01:32:36.9897175Z                 'obj_weakref': <weakref at 0x7f71064fb950; to 'Tensor' at 0x7f71064fb2f0>
2022-11-23T01:32:36.9897410Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.9897473Z             }
2022-11-23T01:32:36.9897537Z             
2022-11-23T01:32:36.9897605Z  - 
2022-11-23T01:32:36.9897726Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:36.9897788Z             {
2022-11-23T01:32:36.9897931Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.9898024Z                 'code': None,
2022-11-23T01:32:36.9898295Z                 'obj_weakref': <weakref at 0x7f71064fb950; to 'Tensor' at 0x7f71064fb2f0>
2022-11-23T01:32:36.9898543Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.9898606Z             }
2022-11-23T01:32:36.9898669Z             
2022-11-23T01:32:36.9898736Z  - 
2022-11-23T01:32:36.9898875Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:36.9898959Z             {
2022-11-23T01:32:36.9899118Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:36.9899286Z                 'code': ['___check_obj_id(model, 140126568912800)'],
2022-11-23T01:32:36.9899406Z                 'obj_weakref': None
2022-11-23T01:32:36.9899631Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:36.9899716Z             }
2022-11-23T01:32:36.9899816Z             
2022-11-23T01:32:36.9899874Z  - 
2022-11-23T01:32:36.9899996Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:36.9900057Z             {
2022-11-23T01:32:36.9900193Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:36.9900412Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:36.9900579Z                 'obj_weakref': None
2022-11-23T01:32:36.9900811Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:36.9900874Z             }
2022-11-23T01:32:36.9900924Z             
2022-11-23T01:32:36.9900991Z  - 
2022-11-23T01:32:36.9901122Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:36.9901188Z             {
2022-11-23T01:32:36.9901345Z                 'guard_types': None,
2022-11-23T01:32:36.9901473Z                 'code': None,
2022-11-23T01:32:36.9901577Z                 'obj_weakref': None
2022-11-23T01:32:36.9901733Z                 'guarded_class': None
2022-11-23T01:32:36.9901795Z             }
2022-11-23T01:32:36.9901857Z             
2022-11-23T01:32:36.9901924Z  - 
2022-11-23T01:32:36.9902090Z             global 'torch.int64' CONSTANT_MATCH
2022-11-23T01:32:36.9902190Z             {
2022-11-23T01:32:36.9902321Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:36.9902486Z                 'code': ["str(torch.int64) == 'torch.int64'"],
2022-11-23T01:32:36.9902638Z                 'obj_weakref': None
2022-11-23T01:32:36.9902880Z                 'guarded_class': <weakref at 0x7f71931398f0; to 'type' at 0x7f71f278dc60 (dtype)>
2022-11-23T01:32:36.9902984Z             }
2022-11-23T01:32:36.9903050Z             
2022-11-23T01:32:36.9903310Z [2022-11-23 01:14:29,411] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 18
2022-11-23T01:32:36.9903665Z [2022-11-23 01:14:31,941] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2f/c2fn7oyrurllm2eg5da737ed2dhwmsvlfkoffzhqa5opnmuujgzz.py
2022-11-23T01:32:36.9903927Z [2022-11-23 01:14:31,942] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 18
2022-11-23T01:32:36.9903933Z 
2022-11-23T01:32:36.9904026Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.9904094Z import torch
2022-11-23T01:32:36.9904163Z import random
2022-11-23T01:32:36.9904277Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.9904401Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.9904406Z 
2022-11-23T01:32:36.9904544Z aten = torch.ops.aten
2022-11-23T01:32:36.9904667Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.9904759Z async_compile = AsyncCompile()
2022-11-23T01:32:36.9904764Z 
2022-11-23T01:32:36.9904768Z 
2022-11-23T01:32:36.9904905Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.9905111Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.9905235Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:36.9905339Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:36.9905401Z {
2022-11-23T01:32:36.9905500Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.9905548Z     {
2022-11-23T01:32:36.9905627Z         #pragma omp for 
2022-11-23T01:32:36.9905710Z         for(long i0=0; i0<14; i0+=1)
2022-11-23T01:32:36.9905775Z         {
2022-11-23T01:32:36.9905840Z             {
2022-11-23T01:32:36.9905907Z                 {
2022-11-23T01:32:36.9906001Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:36.9906093Z                     auto tmp1 = static_cast<long>(4*i0);
2022-11-23T01:32:36.9906199Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:32:36.9906289Z                     auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:36.9906374Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:36.9906439Z                 }
2022-11-23T01:32:36.9906506Z             }
2022-11-23T01:32:36.9906571Z         }
2022-11-23T01:32:36.9906619Z     }
2022-11-23T01:32:36.9906680Z }
2022-11-23T01:32:36.9906757Z ''')
2022-11-23T01:32:36.9906762Z 
2022-11-23T01:32:36.9906766Z 
2022-11-23T01:32:36.9906855Z async_compile.wait(globals())
2022-11-23T01:32:36.9906927Z del async_compile
2022-11-23T01:32:36.9906932Z 
2022-11-23T01:32:36.9907002Z def call(args):
2022-11-23T01:32:36.9907072Z     arg0_1, = args
2022-11-23T01:32:36.9907130Z     args.clear()
2022-11-23T01:32:36.9907326Z     buf0 = empty_strided((14, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9907461Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:36.9907531Z     del arg0_1
2022-11-23T01:32:36.9907603Z     return (buf0, )
2022-11-23T01:32:36.9907608Z 
2022-11-23T01:32:36.9907612Z 
2022-11-23T01:32:36.9907689Z if __name__ == "__main__":
2022-11-23T01:32:36.9907803Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.9907912Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.9908144Z     arg0_1 = rand_strided((14, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9908250Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:36.9908255Z 
2022-11-23T01:32:36.9908321Z ok (2.617s)
2022-11-23T01:32:36.9908626Z   test_arange4_cpu (__main__.CpuTests) ... [2022-11-23 01:14:31,952] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:36.9908946Z [2022-11-23 01:14:31,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:36.9909165Z [2022-11-23 01:14:31,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:36.9909418Z [2022-11-23 01:14:31,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:36.9909705Z [2022-11-23 01:14:31,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:36.9910017Z [2022-11-23 01:14:31,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:36.9910338Z [2022-11-23 01:14:31,952] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64714b0, file "inductor/test_torchinductor.py", line 902> 
2022-11-23T01:32:36.9910430Z  903           0 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9910528Z               2 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:36.9910621Z               4 LOAD_ATTR                1 (arange)
2022-11-23T01:32:36.9910719Z               6 LOAD_CONST               1 (512)
2022-11-23T01:32:36.9910857Z               8 LOAD_CONST               2 (-512)
2022-11-23T01:32:36.9910996Z              10 LOAD_CONST               3 (-1.0)
2022-11-23T01:32:36.9911073Z              12 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9911162Z              14 LOAD_ATTR                2 (device)
2022-11-23T01:32:36.9911310Z              16 LOAD_CONST               4 (('device',))
2022-11-23T01:32:36.9911405Z              18 CALL_FUNCTION_KW         4
2022-11-23T01:32:36.9911485Z              20 BINARY_SUBTRACT
2022-11-23T01:32:36.9911558Z              22 RETURN_VALUE
2022-11-23T01:32:36.9911616Z  
2022-11-23T01:32:36.9911622Z 
2022-11-23T01:32:36.9911874Z [2022-11-23 01:14:31,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:903
2022-11-23T01:32:36.9912087Z [2022-11-23 01:14:31,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:36.9912336Z [2022-11-23 01:14:31,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:36.9912738Z [2022-11-23 01:14:31,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:36.9913091Z [2022-11-23 01:14:31,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 512 [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:36.9913487Z [2022-11-23 01:14:31,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -512 [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>), ConstantVariable(int)]
2022-11-23T01:32:36.9913922Z [2022-11-23 01:14:31,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1.0 [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:36.9914385Z [2022-11-23 01:14:31,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:32:36.9914880Z [2022-11-23 01:14:31,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:36.9915420Z [2022-11-23 01:14:31,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float), TorchVariable(cpu)]
2022-11-23T01:32:36.9915996Z [2022-11-23 01:14:31,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TensorVariable(), TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:36.9916279Z [2022-11-23 01:14:31,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9916526Z [2022-11-23 01:14:31,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:36.9916857Z [2022-11-23 01:14:31,960] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64714b0, file "inductor/test_torchinductor.py", line 902>
2022-11-23T01:32:36.9917101Z [2022-11-23 01:14:31,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:36.9917469Z [2022-11-23 01:14:31,960] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:36.9917723Z [2022-11-23 01:14:31,962] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:36.9917971Z [2022-11-23 01:14:31,968] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:36.9918160Z [2022-11-23 01:14:31,969] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:36.9918294Z  __compiled_fn_20 <eval_with_key>.134 opcode, name, target, args, kwargs
2022-11-23T01:32:36.9918389Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:36.9918686Z call_function, arange, <built-in method arange of type object at 0x7f71f2abebc0>, (512, -512, -1.0), {'device': device(type='cpu')}
2022-11-23T01:32:36.9918864Z call_function, sub, <built-in function sub>, (ex_0_, arange), {}
2022-11-23T01:32:36.9918947Z output, output, output, ((sub,),), {}
2022-11-23T01:32:36.9918952Z 
2022-11-23T01:32:36.9919232Z [2022-11-23 01:14:31,969] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9919327Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:36.9919418Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9919512Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:36.9919600Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:36.9919678Z               8 RETURN_VALUE
2022-11-23T01:32:36.9919683Z 
2022-11-23T01:32:36.9919745Z  
2022-11-23T01:32:36.9920006Z [2022-11-23 01:14:31,969] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9920114Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_20)
2022-11-23T01:32:36.9920204Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9920293Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9920366Z               6 BINARY_SUBSCR
2022-11-23T01:32:36.9920452Z               8 CALL_FUNCTION            1
2022-11-23T01:32:36.9920545Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:36.9920606Z              12 RETURN_VALUE
2022-11-23T01:32:36.9920624Z 
2022-11-23T01:32:36.9920671Z  
2022-11-23T01:32:36.9920851Z [2022-11-23 01:14:31,971] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:36.9920919Z  - 
2022-11-23T01:32:36.9921036Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:36.9921100Z             {
2022-11-23T01:32:36.9921239Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:36.9921464Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:36.9921582Z                 'obj_weakref': None
2022-11-23T01:32:36.9921805Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:36.9921871Z             }
2022-11-23T01:32:36.9921935Z             
2022-11-23T01:32:36.9922006Z  - 
2022-11-23T01:32:36.9922128Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:36.9922212Z             {
2022-11-23T01:32:36.9922353Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:36.9922521Z                 'code': ['___check_type_id(ex[0], 107271106909856)'],
2022-11-23T01:32:36.9922732Z                 'obj_weakref': <weakref at 0x7f71c25dbdd0; to 'Tensor' at 0x7f71066d8dd0>
2022-11-23T01:32:36.9922983Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.9923046Z             }
2022-11-23T01:32:36.9923111Z             
2022-11-23T01:32:36.9923179Z  - 
2022-11-23T01:32:36.9923289Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:36.9923351Z             {
2022-11-23T01:32:36.9923492Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.9923602Z                 'code': None,
2022-11-23T01:32:36.9923807Z                 'obj_weakref': <weakref at 0x7f71c25dbdd0; to 'Tensor' at 0x7f71066d8dd0>
2022-11-23T01:32:36.9924051Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.9924114Z             }
2022-11-23T01:32:36.9924164Z             
2022-11-23T01:32:36.9924232Z  - 
2022-11-23T01:32:36.9924361Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:36.9924424Z             {
2022-11-23T01:32:36.9924557Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:36.9924724Z                 'code': ['___check_obj_id(model, 140126568956416)'],
2022-11-23T01:32:36.9924841Z                 'obj_weakref': None
2022-11-23T01:32:36.9925057Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:36.9925122Z             }
2022-11-23T01:32:36.9925184Z             
2022-11-23T01:32:36.9925251Z  - 
2022-11-23T01:32:36.9925372Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:36.9925436Z             {
2022-11-23T01:32:36.9925558Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:36.9925777Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:36.9925894Z                 'obj_weakref': None
2022-11-23T01:32:36.9926112Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:36.9926174Z             }
2022-11-23T01:32:36.9926236Z             
2022-11-23T01:32:36.9926306Z  - 
2022-11-23T01:32:36.9926425Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:36.9926487Z             {
2022-11-23T01:32:36.9926605Z                 'guard_types': None,
2022-11-23T01:32:36.9926712Z                 'code': None,
2022-11-23T01:32:36.9926828Z                 'obj_weakref': None
2022-11-23T01:32:36.9926947Z                 'guarded_class': None
2022-11-23T01:32:36.9927009Z             }
2022-11-23T01:32:36.9927059Z             
2022-11-23T01:32:36.9927315Z [2022-11-23 01:14:31,980] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 19
2022-11-23T01:32:36.9927684Z [2022-11-23 01:14:34,526] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dy/cdy6b43xjgwwagbi7g5svyktlft4liycw4n5mavfqzxo66ypy5tv.py
2022-11-23T01:32:36.9927946Z [2022-11-23 01:14:34,526] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 19
2022-11-23T01:32:36.9927952Z 
2022-11-23T01:32:36.9928044Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.9928113Z import torch
2022-11-23T01:32:36.9928183Z import random
2022-11-23T01:32:36.9928297Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.9928434Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.9928452Z 
2022-11-23T01:32:36.9928517Z aten = torch.ops.aten
2022-11-23T01:32:36.9928649Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.9928741Z async_compile = AsyncCompile()
2022-11-23T01:32:36.9928746Z 
2022-11-23T01:32:36.9928750Z 
2022-11-23T01:32:36.9928882Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.9929112Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.9929230Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:36.9929331Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:36.9929378Z {
2022-11-23T01:32:36.9929475Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.9929537Z     {
2022-11-23T01:32:36.9929613Z         #pragma omp for 
2022-11-23T01:32:36.9929697Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:36.9929762Z         {
2022-11-23T01:32:36.9929825Z             {
2022-11-23T01:32:36.9929877Z                 {
2022-11-23T01:32:36.9929968Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:36.9930138Z                     auto tmp1 = static_cast<long>(512 + ((-1)*i0));
2022-11-23T01:32:36.9930245Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:32:36.9930381Z                     auto tmp3 = tmp0 - tmp2;
2022-11-23T01:32:36.9930467Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:36.9930531Z                 }
2022-11-23T01:32:36.9930581Z             }
2022-11-23T01:32:36.9930644Z         }
2022-11-23T01:32:36.9930707Z     }
2022-11-23T01:32:36.9930766Z }
2022-11-23T01:32:36.9930843Z ''')
2022-11-23T01:32:36.9930848Z 
2022-11-23T01:32:36.9930853Z 
2022-11-23T01:32:36.9930942Z async_compile.wait(globals())
2022-11-23T01:32:36.9931013Z del async_compile
2022-11-23T01:32:36.9931018Z 
2022-11-23T01:32:36.9931076Z def call(args):
2022-11-23T01:32:36.9931145Z     arg0_1, = args
2022-11-23T01:32:36.9931217Z     args.clear()
2022-11-23T01:32:36.9931412Z     buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9931546Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:36.9931615Z     del arg0_1
2022-11-23T01:32:36.9931686Z     return (buf0, )
2022-11-23T01:32:36.9931691Z 
2022-11-23T01:32:36.9931695Z 
2022-11-23T01:32:36.9931770Z if __name__ == "__main__":
2022-11-23T01:32:36.9931872Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.9931994Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.9932191Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9932297Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:36.9932302Z 
2022-11-23T01:32:36.9932368Z ok (2.585s)
2022-11-23T01:32:36.9932683Z   test_argmax_argmin1_cpu (__main__.CpuTests) ... [2022-11-23 01:14:34,566] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:36.9932954Z [2022-11-23 01:14:34,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:36.9933170Z [2022-11-23 01:14:34,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:36.9933409Z [2022-11-23 01:14:34,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:36.9933696Z [2022-11-23 01:14:34,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:36.9934018Z [2022-11-23 01:14:34,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:36.9934344Z [2022-11-23 01:14:34,567] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f63c6b70, file "inductor/test_torchinductor.py", line 4247> 
2022-11-23T01:32:36.9934438Z  4248           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:36.9934561Z                2 LOAD_METHOD              1 (argmax)
2022-11-23T01:32:36.9934651Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9934739Z                6 CALL_METHOD              1
2022-11-23T01:32:36.9934819Z                8 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:36.9934910Z               10 LOAD_METHOD              2 (argmin)
2022-11-23T01:32:36.9935026Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9935115Z               14 CALL_METHOD              1
2022-11-23T01:32:36.9935207Z               16 BUILD_TUPLE              2
2022-11-23T01:32:36.9935281Z               18 RETURN_VALUE
2022-11-23T01:32:36.9935341Z  
2022-11-23T01:32:36.9935346Z 
2022-11-23T01:32:36.9935613Z [2022-11-23 01:14:34,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4248
2022-11-23T01:32:36.9935814Z [2022-11-23 01:14:34,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:36.9936123Z [2022-11-23 01:14:34,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:36.9936373Z [2022-11-23 01:14:34,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.argmax)]
2022-11-23T01:32:36.9936662Z [2022-11-23 01:14:34,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.argmax), TensorVariable()]
2022-11-23T01:32:36.9936904Z [2022-11-23 01:14:34,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:36.9937239Z [2022-11-23 01:14:34,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:36.9937519Z [2022-11-23 01:14:34,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.argmin)]
2022-11-23T01:32:36.9937835Z [2022-11-23 01:14:34,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.argmin), TensorVariable()]
2022-11-23T01:32:36.9938100Z [2022-11-23 01:14:34,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9938345Z [2022-11-23 01:14:34,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.9938663Z [2022-11-23 01:14:34,596] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f63c6b70, file "inductor/test_torchinductor.py", line 4247>
2022-11-23T01:32:36.9938906Z [2022-11-23 01:14:34,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.9939138Z [2022-11-23 01:14:34,596] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:36.9939390Z [2022-11-23 01:14:34,598] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:36.9939641Z [2022-11-23 01:14:34,605] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:36.9939827Z [2022-11-23 01:14:34,605] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:36.9939960Z  __compiled_fn_21 <eval_with_key>.140 opcode, name, target, args, kwargs
2022-11-23T01:32:36.9940051Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:36.9940161Z call_function, argmax, aten.argmax, (ex_0_,), {}
2022-11-23T01:32:36.9940258Z call_function, argmin, aten.argmin, (ex_0_,), {}
2022-11-23T01:32:36.9940365Z output, output, output, ((argmax, argmin),), {}
2022-11-23T01:32:36.9940370Z 
2022-11-23T01:32:36.9940682Z [2022-11-23 01:14:34,606] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9940775Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:36.9940865Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9940986Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:36.9941076Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:36.9941139Z               8 RETURN_VALUE
2022-11-23T01:32:36.9941157Z 
2022-11-23T01:32:36.9941205Z  
2022-11-23T01:32:36.9941480Z [2022-11-23 01:14:34,606] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9941585Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_21)
2022-11-23T01:32:36.9941701Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9941791Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9941867Z               6 BINARY_SUBSCR
2022-11-23T01:32:36.9941955Z               8 CALL_FUNCTION            1
2022-11-23T01:32:36.9942045Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:36.9942146Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.9942238Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9942317Z              16 BINARY_SUBSCR
2022-11-23T01:32:36.9942417Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.9942504Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:36.9942578Z              22 BINARY_SUBSCR
2022-11-23T01:32:36.9942653Z              24 BUILD_TUPLE              2
2022-11-23T01:32:36.9942728Z              26 RETURN_VALUE
2022-11-23T01:32:36.9942734Z 
2022-11-23T01:32:36.9942793Z  
2022-11-23T01:32:36.9942977Z [2022-11-23 01:14:34,607] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:36.9943046Z  - 
2022-11-23T01:32:36.9943164Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:36.9943228Z             {
2022-11-23T01:32:36.9943355Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:36.9943543Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:36.9943661Z                 'obj_weakref': None
2022-11-23T01:32:36.9943883Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:36.9943947Z             }
2022-11-23T01:32:36.9944012Z             
2022-11-23T01:32:36.9944080Z  - 
2022-11-23T01:32:36.9944190Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:36.9944252Z             {
2022-11-23T01:32:36.9944394Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.9944590Z                 'code': None,
2022-11-23T01:32:36.9944806Z                 'obj_weakref': <weakref at 0x7f71c25db710; to 'Tensor' at 0x7f7106949e90>
2022-11-23T01:32:36.9945055Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.9945116Z             }
2022-11-23T01:32:36.9945167Z             
2022-11-23T01:32:36.9945235Z  - 
2022-11-23T01:32:36.9945365Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:36.9945433Z             {
2022-11-23T01:32:36.9945567Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:36.9945739Z                 'code': ['___check_obj_id(model, 140126565020592)'],
2022-11-23T01:32:36.9945858Z                 'obj_weakref': None
2022-11-23T01:32:36.9946072Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:36.9946136Z             }
2022-11-23T01:32:36.9946199Z             
2022-11-23T01:32:36.9946268Z  - 
2022-11-23T01:32:36.9946390Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:36.9946456Z             {
2022-11-23T01:32:36.9946593Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:36.9946796Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:36.9946913Z                 'obj_weakref': None
2022-11-23T01:32:36.9947130Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:36.9947193Z             }
2022-11-23T01:32:36.9947256Z             
2022-11-23T01:32:36.9947363Z  - 
2022-11-23T01:32:36.9947493Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:36.9947543Z             {
2022-11-23T01:32:36.9947660Z                 'guard_types': None,
2022-11-23T01:32:36.9947768Z                 'code': None,
2022-11-23T01:32:36.9947884Z                 'obj_weakref': None
2022-11-23T01:32:36.9948006Z                 'guarded_class': None
2022-11-23T01:32:36.9948069Z             }
2022-11-23T01:32:36.9948133Z             
2022-11-23T01:32:36.9948407Z [2022-11-23 01:14:34,615] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 20
2022-11-23T01:32:36.9948782Z [2022-11-23 01:14:37,142] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d5/cd5gr6awbytbzzo7d6buixrgd6b5ajdaakto2ucgyv6sepp4vzi7.py
2022-11-23T01:32:36.9949050Z [2022-11-23 01:14:37,142] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 20
2022-11-23T01:32:36.9949055Z 
2022-11-23T01:32:36.9949149Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.9949221Z import torch
2022-11-23T01:32:36.9949291Z import random
2022-11-23T01:32:36.9949406Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.9949527Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.9949533Z 
2022-11-23T01:32:36.9949599Z aten = torch.ops.aten
2022-11-23T01:32:36.9949736Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.9949829Z async_compile = AsyncCompile()
2022-11-23T01:32:36.9949836Z 
2022-11-23T01:32:36.9949840Z 
2022-11-23T01:32:36.9949974Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.9950181Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.9950302Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:36.9950404Z                        long* __restrict__ out_ptr0,
2022-11-23T01:32:36.9950499Z                        long* __restrict__ out_ptr1)
2022-11-23T01:32:36.9950546Z {
2022-11-23T01:32:36.9950614Z     {
2022-11-23T01:32:36.9950678Z         {
2022-11-23T01:32:36.9950801Z             struct IndexValue_1 {size_t index; float value;};
2022-11-23T01:32:36.9951066Z             IndexValue_1 tmp1{0, -std::numeric_limits<float>::infinity()};
2022-11-23T01:32:36.9951205Z             #pragma omp declare reduction(argmax : struct IndexValue_1 :\
2022-11-23T01:32:36.9951353Z                 omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:36.9951489Z                 omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:36.9951719Z             	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T01:32:36.9951838Z             struct IndexValue_2 {size_t index; float value;};
2022-11-23T01:32:36.9951970Z             IndexValue_2 tmp2{0, std::numeric_limits<float>::infinity()};
2022-11-23T01:32:36.9952102Z             #pragma omp declare reduction(argmin : struct IndexValue_2 :\
2022-11-23T01:32:36.9952252Z                 omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:36.9952396Z                 omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:36.9952541Z             	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T01:32:36.9952646Z             #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.9952697Z             {
2022-11-23T01:32:36.9952838Z                 #pragma omp for reduction(argmax:tmp1) reduction(argmin:tmp2) 
2022-11-23T01:32:36.9952935Z                 for(long i0=0; i0<524288; i0+=1)
2022-11-23T01:32:36.9953003Z                 {
2022-11-23T01:32:36.9953072Z                     {
2022-11-23T01:32:36.9953168Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:36.9953262Z                         if (tmp1.value < tmp0) {
2022-11-23T01:32:36.9953360Z                             tmp1.index = i0; tmp1.value = tmp0;
2022-11-23T01:32:36.9953461Z                         }
2022-11-23T01:32:36.9953552Z                         if (tmp2.value > tmp0) {
2022-11-23T01:32:36.9953659Z                             tmp2.index = i0; tmp2.value = tmp0;
2022-11-23T01:32:36.9953728Z                         }
2022-11-23T01:32:36.9953794Z                     }
2022-11-23T01:32:36.9953860Z                 }
2022-11-23T01:32:36.9953909Z             }
2022-11-23T01:32:36.9953996Z             out_ptr0[0] = tmp1.index;
2022-11-23T01:32:36.9954118Z             out_ptr1[0] = tmp2.index;
2022-11-23T01:32:36.9954183Z         }
2022-11-23T01:32:36.9954245Z     }
2022-11-23T01:32:36.9954307Z }
2022-11-23T01:32:36.9954386Z ''')
2022-11-23T01:32:36.9954393Z 
2022-11-23T01:32:36.9954398Z 
2022-11-23T01:32:36.9954474Z async_compile.wait(globals())
2022-11-23T01:32:36.9954547Z del async_compile
2022-11-23T01:32:36.9954552Z 
2022-11-23T01:32:36.9954621Z def call(args):
2022-11-23T01:32:36.9954688Z     arg0_1, = args
2022-11-23T01:32:36.9954759Z     args.clear()
2022-11-23T01:32:36.9954940Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:36.9955118Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:36.9955268Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:36.9955336Z     del arg0_1
2022-11-23T01:32:36.9955415Z     return (buf0, buf1, )
2022-11-23T01:32:36.9955419Z 
2022-11-23T01:32:36.9955424Z 
2022-11-23T01:32:36.9955502Z if __name__ == "__main__":
2022-11-23T01:32:36.9955664Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.9955789Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.9956006Z     arg0_1 = rand_strided((8, 256, 256), (65536, 256, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9956113Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:36.9956118Z 
2022-11-23T01:32:36.9956171Z ok (2.615s)
2022-11-23T01:32:36.9956489Z   test_argmax_argmin2_cpu (__main__.CpuTests) ... [2022-11-23 01:14:37,155] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:36.9956764Z [2022-11-23 01:14:37,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:36.9956980Z [2022-11-23 01:14:37,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:36.9957343Z [2022-11-23 01:14:37,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:36.9957633Z [2022-11-23 01:14:37,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:36.9957957Z [2022-11-23 01:14:37,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:36.9958285Z [2022-11-23 01:14:37,156] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f63c6c90, file "inductor/test_torchinductor.py", line 4258> 
2022-11-23T01:32:36.9958383Z  4260           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:36.9958479Z                2 LOAD_METHOD              1 (argmax)
2022-11-23T01:32:36.9958556Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9958647Z                6 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9958738Z                8 CALL_METHOD              2
2022-11-23T01:32:36.9958743Z 
2022-11-23T01:32:36.9958838Z 4261          10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:36.9958933Z               12 LOAD_METHOD              2 (argmin)
2022-11-23T01:32:36.9959023Z               14 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9959111Z               16 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9959186Z               18 CALL_METHOD              2
2022-11-23T01:32:36.9959191Z 
2022-11-23T01:32:36.9959284Z 4262          20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:36.9959377Z               22 LOAD_METHOD              1 (argmax)
2022-11-23T01:32:36.9959521Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9959609Z               26 LOAD_CONST               2 (1)
2022-11-23T01:32:36.9959696Z               28 CALL_METHOD              2
2022-11-23T01:32:36.9959701Z 
2022-11-23T01:32:36.9959792Z 4263          30 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:36.9959885Z               32 LOAD_METHOD              2 (argmin)
2022-11-23T01:32:36.9959960Z               34 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9960089Z               36 LOAD_CONST               2 (1)
2022-11-23T01:32:36.9960179Z               38 CALL_METHOD              2
2022-11-23T01:32:36.9960267Z               40 BUILD_TUPLE              4
2022-11-23T01:32:36.9960344Z               42 RETURN_VALUE
2022-11-23T01:32:36.9960405Z  
2022-11-23T01:32:36.9960410Z 
2022-11-23T01:32:36.9960686Z [2022-11-23 01:14:37,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4260
2022-11-23T01:32:36.9960906Z [2022-11-23 01:14:37,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:36.9961203Z [2022-11-23 01:14:37,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:36.9961455Z [2022-11-23 01:14:37,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.argmax)]
2022-11-23T01:32:36.9961736Z [2022-11-23 01:14:37,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.argmax), TensorVariable()]
2022-11-23T01:32:36.9962056Z [2022-11-23 01:14:37,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.argmax), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:36.9962321Z [2022-11-23 01:14:37,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4261
2022-11-23T01:32:36.9962564Z [2022-11-23 01:14:37,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:36.9962899Z [2022-11-23 01:14:37,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:36.9963185Z [2022-11-23 01:14:37,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.argmin)]
2022-11-23T01:32:36.9963496Z [2022-11-23 01:14:37,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.argmin), TensorVariable()]
2022-11-23T01:32:36.9963846Z [2022-11-23 01:14:37,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.argmin), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:36.9964100Z [2022-11-23 01:14:37,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4262
2022-11-23T01:32:36.9964370Z [2022-11-23 01:14:37,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9964743Z [2022-11-23 01:14:37,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:36.9965052Z [2022-11-23 01:14:37,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(aten.argmax)]
2022-11-23T01:32:36.9965391Z [2022-11-23 01:14:37,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.argmax), TensorVariable()]
2022-11-23T01:32:36.9965768Z [2022-11-23 01:14:37,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.argmax), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:36.9966033Z [2022-11-23 01:14:37,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4263
2022-11-23T01:32:36.9966361Z [2022-11-23 01:14:37,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9966752Z [2022-11-23 01:14:37,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:36.9967110Z [2022-11-23 01:14:37,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.argmin)]
2022-11-23T01:32:36.9967474Z [2022-11-23 01:14:37,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.argmin), TensorVariable()]
2022-11-23T01:32:36.9967882Z [2022-11-23 01:14:37,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.argmin), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:36.9968194Z [2022-11-23 01:14:37,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:36.9968436Z [2022-11-23 01:14:37,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.9968768Z [2022-11-23 01:14:37,209] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f63c6c90, file "inductor/test_torchinductor.py", line 4258>
2022-11-23T01:32:36.9969008Z [2022-11-23 01:14:37,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:36.9969240Z [2022-11-23 01:14:37,209] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:36.9969489Z [2022-11-23 01:14:37,211] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:36.9969733Z [2022-11-23 01:14:37,220] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:36.9969920Z [2022-11-23 01:14:37,220] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:36.9970057Z  __compiled_fn_22 <eval_with_key>.146 opcode, name, target, args, kwargs
2022-11-23T01:32:36.9970134Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:36.9970241Z call_function, argmax, aten.argmax, (ex_0_, 0), {}
2022-11-23T01:32:36.9970344Z call_function, argmin, aten.argmin, (ex_0_, 0), {}
2022-11-23T01:32:36.9970456Z call_function, argmax_1, aten.argmax, (ex_0_, 1), {}
2022-11-23T01:32:36.9970560Z call_function, argmin_1, aten.argmin, (ex_0_, 1), {}
2022-11-23T01:32:36.9970687Z output, output, output, ((argmax, argmin, argmax_1, argmin_1),), {}
2022-11-23T01:32:36.9970693Z 
2022-11-23T01:32:36.9970968Z [2022-11-23 01:14:37,221] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9971055Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:36.9971134Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9971226Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:36.9971313Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:36.9971387Z               8 RETURN_VALUE
2022-11-23T01:32:36.9971392Z 
2022-11-23T01:32:36.9971452Z  
2022-11-23T01:32:36.9971723Z [2022-11-23 01:14:37,221] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:36.9971830Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_22)
2022-11-23T01:32:36.9971917Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:36.9971992Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9972067Z               6 BINARY_SUBSCR
2022-11-23T01:32:36.9972152Z               8 CALL_FUNCTION            1
2022-11-23T01:32:36.9972254Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:36.9972355Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.9972475Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:36.9972549Z              16 BINARY_SUBSCR
2022-11-23T01:32:36.9972637Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.9972723Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:36.9972797Z              22 BINARY_SUBSCR
2022-11-23T01:32:36.9972894Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.9973009Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:36.9973083Z              28 BINARY_SUBSCR
2022-11-23T01:32:36.9973178Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:36.9973252Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:36.9973324Z              34 BINARY_SUBSCR
2022-11-23T01:32:36.9973411Z              36 BUILD_TUPLE              4
2022-11-23T01:32:36.9973483Z              38 RETURN_VALUE
2022-11-23T01:32:36.9973489Z 
2022-11-23T01:32:36.9973546Z  
2022-11-23T01:32:36.9973731Z [2022-11-23 01:14:37,222] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:36.9973796Z  - 
2022-11-23T01:32:36.9973901Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:36.9973961Z             {
2022-11-23T01:32:36.9974099Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:36.9974281Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:36.9974398Z                 'obj_weakref': None
2022-11-23T01:32:36.9974620Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:36.9974682Z             }
2022-11-23T01:32:36.9974733Z             
2022-11-23T01:32:36.9974799Z  - 
2022-11-23T01:32:36.9974921Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:36.9974979Z             {
2022-11-23T01:32:36.9975120Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:36.9975225Z                 'code': None,
2022-11-23T01:32:36.9975431Z                 'obj_weakref': <weakref at 0x7f71c25f30b0; to 'Tensor' at 0x7f710650cad0>
2022-11-23T01:32:36.9975681Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:36.9975732Z             }
2022-11-23T01:32:36.9975792Z             
2022-11-23T01:32:36.9975861Z  - 
2022-11-23T01:32:36.9975988Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:36.9976049Z             {
2022-11-23T01:32:36.9976180Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:36.9976336Z                 'code': ['___check_obj_id(model, 140124018277840)'],
2022-11-23T01:32:36.9976454Z                 'obj_weakref': None
2022-11-23T01:32:36.9976677Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:36.9976740Z             }
2022-11-23T01:32:36.9976799Z             
2022-11-23T01:32:36.9976867Z  - 
2022-11-23T01:32:36.9976986Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:36.9977037Z             {
2022-11-23T01:32:36.9977168Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:36.9977380Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:36.9977496Z                 'obj_weakref': None
2022-11-23T01:32:36.9977713Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:36.9977773Z             }
2022-11-23T01:32:36.9977834Z             
2022-11-23T01:32:36.9977891Z  - 
2022-11-23T01:32:36.9978018Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:36.9978078Z             {
2022-11-23T01:32:36.9978196Z                 'guard_types': None,
2022-11-23T01:32:36.9978299Z                 'code': None,
2022-11-23T01:32:36.9978410Z                 'obj_weakref': None
2022-11-23T01:32:36.9978528Z                 'guarded_class': None
2022-11-23T01:32:36.9978577Z             }
2022-11-23T01:32:36.9978637Z             
2022-11-23T01:32:36.9978893Z [2022-11-23 01:14:37,233] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 21
2022-11-23T01:32:36.9979290Z [2022-11-23 01:14:39,790] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xs/cxs7bv7ulvk2dhgcdnhqun5oeyzk7u6clhovfsv3msfor2qd77w6.py
2022-11-23T01:32:36.9979555Z [2022-11-23 01:14:39,791] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 21
2022-11-23T01:32:36.9979560Z 
2022-11-23T01:32:36.9979679Z from ctypes import c_void_p, c_long
2022-11-23T01:32:36.9979747Z import torch
2022-11-23T01:32:36.9979812Z import random
2022-11-23T01:32:36.9979915Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:36.9980034Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:36.9980039Z 
2022-11-23T01:32:36.9980114Z aten = torch.ops.aten
2022-11-23T01:32:36.9980247Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:36.9980335Z async_compile = AsyncCompile()
2022-11-23T01:32:36.9980343Z 
2022-11-23T01:32:36.9980348Z 
2022-11-23T01:32:36.9980478Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:36.9980680Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:36.9980800Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:36.9980885Z                        long* __restrict__ out_ptr0,
2022-11-23T01:32:36.9980979Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:36.9981074Z                        long* __restrict__ out_ptr2,
2022-11-23T01:32:36.9981163Z                        long* __restrict__ out_ptr3)
2022-11-23T01:32:36.9981219Z {
2022-11-23T01:32:36.9981315Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:36.9981378Z     {
2022-11-23T01:32:36.9981441Z         #pragma omp for 
2022-11-23T01:32:36.9981522Z         for(long i0=0; i0<144; i0+=1)
2022-11-23T01:32:36.9981584Z         {
2022-11-23T01:32:36.9981646Z             {
2022-11-23T01:32:36.9981709Z                 {
2022-11-23T01:32:36.9981832Z                     struct IndexValue_3 {size_t index; float value;};
2022-11-23T01:32:36.9982077Z                     IndexValue_3 tmp1{0, -std::numeric_limits<float>::infinity()};
2022-11-23T01:32:36.9982204Z                     #pragma omp declare reduction(argmax : struct IndexValue_3 :\
2022-11-23T01:32:36.9982355Z                         omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:36.9982502Z                         omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:36.9982740Z                     	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T01:32:36.9982858Z                     struct IndexValue_4 {size_t index; float value;};
2022-11-23T01:32:36.9982993Z                     IndexValue_4 tmp2{0, std::numeric_limits<float>::infinity()};
2022-11-23T01:32:36.9983130Z                     #pragma omp declare reduction(argmin : struct IndexValue_4 :\
2022-11-23T01:32:36.9983281Z                         omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:36.9983423Z                         omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:36.9983554Z                     	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T01:32:36.9983645Z                     for(long i1=0; i1<144; i1+=1)
2022-11-23T01:32:36.9983713Z                     {
2022-11-23T01:32:36.9983780Z                         {
2022-11-23T01:32:36.9983886Z                             auto tmp0 = in_ptr0[i0 + (144*i1)];
2022-11-23T01:32:36.9983981Z                             if (tmp1.value < tmp0) {
2022-11-23T01:32:36.9984090Z                                 tmp1.index = i1; tmp1.value = tmp0;
2022-11-23T01:32:36.9984147Z                             }
2022-11-23T01:32:36.9984241Z                             if (tmp2.value > tmp0) {
2022-11-23T01:32:36.9984347Z                                 tmp2.index = i1; tmp2.value = tmp0;
2022-11-23T01:32:36.9984551Z                             }
2022-11-23T01:32:36.9984622Z                         }
2022-11-23T01:32:36.9984687Z                     }
2022-11-23T01:32:36.9984783Z                     out_ptr0[i0] = tmp1.index;
2022-11-23T01:32:36.9984874Z                     out_ptr1[i0] = tmp2.index;
2022-11-23T01:32:36.9984925Z                 }
2022-11-23T01:32:36.9984987Z             }
2022-11-23T01:32:36.9985049Z         }
2022-11-23T01:32:36.9985160Z         #pragma omp for 
2022-11-23T01:32:36.9985242Z         for(long i0=0; i0<144; i0+=1)
2022-11-23T01:32:36.9985304Z         {
2022-11-23T01:32:36.9985353Z             {
2022-11-23T01:32:36.9985417Z                 {
2022-11-23T01:32:36.9985540Z                     struct IndexValue_5 {size_t index; float value;};
2022-11-23T01:32:36.9985773Z                     IndexValue_5 tmp1{0, -std::numeric_limits<float>::infinity()};
2022-11-23T01:32:36.9985911Z                     #pragma omp declare reduction(argmax : struct IndexValue_5 :\
2022-11-23T01:32:36.9986060Z                         omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:36.9986202Z                         omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:36.9986440Z                     	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T01:32:36.9986550Z                     struct IndexValue_6 {size_t index; float value;};
2022-11-23T01:32:36.9986680Z                     IndexValue_6 tmp2{0, std::numeric_limits<float>::infinity()};
2022-11-23T01:32:36.9986818Z                     #pragma omp declare reduction(argmin : struct IndexValue_6 :\
2022-11-23T01:32:36.9986962Z                         omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:36.9987106Z                         omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:36.9987251Z                     	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T01:32:36.9987342Z                     for(long i1=0; i1<144; i1+=1)
2022-11-23T01:32:36.9987409Z                     {
2022-11-23T01:32:36.9987464Z                         {
2022-11-23T01:32:36.9987565Z                             auto tmp0 = in_ptr0[i1 + (144*i0)];
2022-11-23T01:32:36.9987660Z                             if (tmp1.value < tmp0) {
2022-11-23T01:32:36.9987773Z                                 tmp1.index = i1; tmp1.value = tmp0;
2022-11-23T01:32:36.9987843Z                             }
2022-11-23T01:32:36.9987936Z                             if (tmp2.value > tmp0) {
2022-11-23T01:32:36.9988046Z                                 tmp2.index = i1; tmp2.value = tmp0;
2022-11-23T01:32:36.9988117Z                             }
2022-11-23T01:32:36.9988171Z                         }
2022-11-23T01:32:36.9988235Z                     }
2022-11-23T01:32:36.9988329Z                     out_ptr2[i0] = tmp1.index;
2022-11-23T01:32:36.9988423Z                     out_ptr3[i0] = tmp2.index;
2022-11-23T01:32:36.9988487Z                 }
2022-11-23T01:32:36.9988547Z             }
2022-11-23T01:32:36.9988612Z         }
2022-11-23T01:32:36.9988661Z     }
2022-11-23T01:32:36.9988723Z }
2022-11-23T01:32:36.9988801Z ''')
2022-11-23T01:32:36.9988806Z 
2022-11-23T01:32:36.9988810Z 
2022-11-23T01:32:36.9988901Z async_compile.wait(globals())
2022-11-23T01:32:36.9988971Z del async_compile
2022-11-23T01:32:36.9988978Z 
2022-11-23T01:32:36.9989048Z def call(args):
2022-11-23T01:32:36.9989118Z     arg0_1, = args
2022-11-23T01:32:36.9989175Z     args.clear()
2022-11-23T01:32:36.9989366Z     buf0 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:36.9989553Z     buf1 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:36.9989740Z     buf2 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:36.9989925Z     buf3 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:36.9990208Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:36.9990275Z     del arg0_1
2022-11-23T01:32:36.9990350Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:36.9990368Z 
2022-11-23T01:32:36.9990372Z 
2022-11-23T01:32:36.9990435Z if __name__ == "__main__":
2022-11-23T01:32:36.9990577Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:36.9990701Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:36.9990907Z     arg0_1 = rand_strided((144, 144), (144, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:36.9991015Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:36.9991019Z 
2022-11-23T01:32:36.9991086Z ok (2.652s)
2022-11-23T01:32:36.9991206Z   test_argmax_argmin3_cpu (__main__.CpuTests) ... skip: 
2022-11-23T01:32:36.9991361Z         FIXME: In the case of having equally max/min elements, our implementation returns
2022-11-23T01:32:36.9991454Z         the last index instead of the first one
2022-11-23T01:32:36.9991520Z          (0.002s)
2022-11-23T01:32:36.9991833Z   test_as_strided_cpu (__main__.CpuTests) ... [2022-11-23 01:14:39,809] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:36.9992103Z [2022-11-23 01:14:39,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:36.9992320Z [2022-11-23 01:14:39,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:36.9992575Z [2022-11-23 01:14:39,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:36.9992861Z [2022-11-23 01:14:39,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:36.9993181Z [2022-11-23 01:14:39,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:36.9993508Z [2022-11-23 01:14:39,810] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6437e40, file "inductor/test_torchinductor.py", line 3605> 
2022-11-23T01:32:36.9993590Z  3607           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:36.9993691Z                2 LOAD_METHOD              1 (as_strided)
2022-11-23T01:32:36.9993783Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9993875Z                6 LOAD_CONST               1 ((8, 8, 64))
2022-11-23T01:32:36.9993971Z                8 LOAD_CONST               2 ((512, 64, 1))
2022-11-23T01:32:36.9994058Z               10 LOAD_CONST               3 (0)
2022-11-23T01:32:36.9994146Z               12 CALL_METHOD              4
2022-11-23T01:32:36.9994152Z 
2022-11-23T01:32:36.9994231Z 3608          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:36.9994330Z               16 LOAD_METHOD              1 (as_strided)
2022-11-23T01:32:36.9994419Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:36.9994506Z               20 LOAD_CONST               4 (1)
2022-11-23T01:32:36.9994576Z               22 BINARY_ADD
2022-11-23T01:32:36.9994666Z               24 LOAD_CONST               1 ((8, 8, 64))
2022-11-23T01:32:36.9994759Z               26 LOAD_CONST               2 ((512, 64, 1))
2022-11-23T01:32:36.9994843Z               28 LOAD_CONST               3 (0)
2022-11-23T01:32:36.9994920Z               30 CALL_METHOD              4
2022-11-23T01:32:36.9995007Z               32 LOAD_CONST               5 (2)
2022-11-23T01:32:36.9995078Z               34 BINARY_ADD
2022-11-23T01:32:36.9995165Z               36 BUILD_TUPLE              2
2022-11-23T01:32:36.9995237Z               38 RETURN_VALUE
2022-11-23T01:32:36.9995296Z  
2022-11-23T01:32:36.9995301Z 
2022-11-23T01:32:36.9995568Z [2022-11-23 01:14:39,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3607
2022-11-23T01:32:36.9995802Z [2022-11-23 01:14:39,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:36.9996113Z [2022-11-23 01:14:39,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_strided [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:36.9996365Z [2022-11-23 01:14:39,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.as_strided)]
2022-11-23T01:32:36.9996701Z [2022-11-23 01:14:39,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (8, 8, 64) [TorchVariable(aten.as_strided), TensorVariable()]
2022-11-23T01:32:36.9997040Z [2022-11-23 01:14:39,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (512, 64, 1) [TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:36.9997523Z [2022-11-23 01:14:39,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple)]
2022-11-23T01:32:36.9997937Z [2022-11-23 01:14:39,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple), ConstantVariable(int)]
2022-11-23T01:32:36.9998199Z [2022-11-23 01:14:39,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3608
2022-11-23T01:32:36.9998447Z [2022-11-23 01:14:39,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:36.9998788Z [2022-11-23 01:14:39,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_strided [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:36.9999075Z [2022-11-23 01:14:39,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.as_strided)]
2022-11-23T01:32:36.9999376Z [2022-11-23 01:14:39,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable()]
2022-11-23T01:32:36.9999738Z [2022-11-23 01:14:39,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0000062Z [2022-11-23 01:14:39,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (8, 8, 64) [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable()]
2022-11-23T01:32:37.0000430Z [2022-11-23 01:14:39,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (512, 64, 1) [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:37.0000832Z [2022-11-23 01:14:39,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple)]
2022-11-23T01:32:37.0001272Z [2022-11-23 01:14:39,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple), ConstantVariable(int)]
2022-11-23T01:32:37.0001534Z [2022-11-23 01:14:39,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0001842Z [2022-11-23 01:14:39,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0002110Z [2022-11-23 01:14:39,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0002357Z [2022-11-23 01:14:39,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.0002687Z [2022-11-23 01:14:39,886] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6437e40, file "inductor/test_torchinductor.py", line 3605>
2022-11-23T01:32:37.0002928Z [2022-11-23 01:14:39,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.0003210Z [2022-11-23 01:14:39,886] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.0003463Z [2022-11-23 01:14:39,889] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.0003709Z [2022-11-23 01:14:39,900] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.0003933Z [2022-11-23 01:14:39,901] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.0004069Z  __compiled_fn_23 <eval_with_key>.152 opcode, name, target, args, kwargs
2022-11-23T01:32:37.0004157Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.0004288Z call_function, as_strided, aten.as_strided, (ex_0_, (8, 8, 64), (512, 64, 1), 0), {}
2022-11-23T01:32:37.0004460Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.0004582Z call_function, as_strided_1, aten.as_strided, (add, (8, 8, 64), (512, 64, 1), 0), {}
2022-11-23T01:32:37.0004769Z call_function, add_1, <built-in function add>, (as_strided_1, 2), {}
2022-11-23T01:32:37.0004877Z output, output, output, ((as_strided, add_1),), {}
2022-11-23T01:32:37.0004883Z 
2022-11-23T01:32:37.0005158Z [2022-11-23 01:14:39,901] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0005281Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.0005375Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0005467Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.0005556Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.0005618Z               8 RETURN_VALUE
2022-11-23T01:32:37.0005624Z 
2022-11-23T01:32:37.0005683Z  
2022-11-23T01:32:37.0005956Z [2022-11-23 01:14:39,902] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0006067Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_23)
2022-11-23T01:32:37.0006156Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0006242Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0006337Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.0006423Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.0006514Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.0006614Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0006702Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0006779Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.0006878Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0006966Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0007041Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.0007115Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.0007191Z              26 RETURN_VALUE
2022-11-23T01:32:37.0007198Z 
2022-11-23T01:32:37.0007258Z  
2022-11-23T01:32:37.0007437Z [2022-11-23 01:14:39,903] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.0007509Z  - 
2022-11-23T01:32:37.0007626Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.0007689Z             {
2022-11-23T01:32:37.0007816Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.0007997Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.0008116Z                 'obj_weakref': None
2022-11-23T01:32:37.0008337Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.0008402Z             }
2022-11-23T01:32:37.0008466Z             
2022-11-23T01:32:37.0008532Z  - 
2022-11-23T01:32:37.0008642Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.0008704Z             {
2022-11-23T01:32:37.0008844Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0008948Z                 'code': None,
2022-11-23T01:32:37.0009189Z                 'obj_weakref': <weakref at 0x7f71c25f3650; to 'Tensor' at 0x7f71064e8fb0>
2022-11-23T01:32:37.0009433Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0009491Z             }
2022-11-23T01:32:37.0009540Z             
2022-11-23T01:32:37.0009606Z  - 
2022-11-23T01:32:37.0009733Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.0009820Z             {
2022-11-23T01:32:37.0009952Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.0010120Z                 'code': ['___check_obj_id(model, 140124018251824)'],
2022-11-23T01:32:37.0010237Z                 'obj_weakref': None
2022-11-23T01:32:37.0010450Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.0010511Z             }
2022-11-23T01:32:37.0010570Z             
2022-11-23T01:32:37.0010637Z  - 
2022-11-23T01:32:37.0010759Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.0010822Z             {
2022-11-23T01:32:37.0010958Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.0011163Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.0011279Z                 'obj_weakref': None
2022-11-23T01:32:37.0011492Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.0011555Z             }
2022-11-23T01:32:37.0011615Z             
2022-11-23T01:32:37.0011679Z  - 
2022-11-23T01:32:37.0011809Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.0011858Z             {
2022-11-23T01:32:37.0011978Z                 'guard_types': None,
2022-11-23T01:32:37.0012084Z                 'code': None,
2022-11-23T01:32:37.0012200Z                 'obj_weakref': None
2022-11-23T01:32:37.0012319Z                 'guarded_class': None
2022-11-23T01:32:37.0012381Z             }
2022-11-23T01:32:37.0012446Z             
2022-11-23T01:32:37.0012691Z [2022-11-23 01:14:39,919] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 22
2022-11-23T01:32:37.0013060Z [2022-11-23 01:14:42,467] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yg/cygb7rxbqai6walw7fqa4wa5mudoe4nv3hu63y7rvaladns4fhwn.py
2022-11-23T01:32:37.0013320Z [2022-11-23 01:14:42,468] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 22
2022-11-23T01:32:37.0013328Z 
2022-11-23T01:32:37.0013420Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.0013488Z import torch
2022-11-23T01:32:37.0013555Z import random
2022-11-23T01:32:37.0013668Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.0013787Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.0013792Z 
2022-11-23T01:32:37.0013857Z aten = torch.ops.aten
2022-11-23T01:32:37.0013989Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.0014082Z async_compile = AsyncCompile()
2022-11-23T01:32:37.0014087Z 
2022-11-23T01:32:37.0014091Z 
2022-11-23T01:32:37.0014221Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.0014422Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.0014537Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.0014640Z                        const float* __restrict__ in_ptr0)
2022-11-23T01:32:37.0014698Z {
2022-11-23T01:32:37.0014784Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.0014845Z     {
2022-11-23T01:32:37.0014919Z         #pragma omp for 
2022-11-23T01:32:37.0014998Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:32:37.0015059Z         {
2022-11-23T01:32:37.0015194Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.0015324Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.0015396Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.0015554Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:37.0015637Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:37.0015732Z             tmp4.store(in_out_ptr0 + 16*i0);
2022-11-23T01:32:37.0015793Z         }
2022-11-23T01:32:37.0015884Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.0015969Z         for(long i0=4096; i0<4096; i0+=1)
2022-11-23T01:32:37.0016020Z         {
2022-11-23T01:32:37.0016137Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.0016236Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:37.0016318Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.0016417Z             auto tmp3 = static_cast<float>(2);
2022-11-23T01:32:37.0016500Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:37.0016579Z             in_out_ptr0[i0] = tmp4;
2022-11-23T01:32:37.0016627Z         }
2022-11-23T01:32:37.0016686Z     }
2022-11-23T01:32:37.0016744Z }
2022-11-23T01:32:37.0016824Z ''')
2022-11-23T01:32:37.0016828Z 
2022-11-23T01:32:37.0016833Z 
2022-11-23T01:32:37.0016919Z async_compile.wait(globals())
2022-11-23T01:32:37.0016988Z del async_compile
2022-11-23T01:32:37.0016993Z 
2022-11-23T01:32:37.0017064Z def call(args):
2022-11-23T01:32:37.0017120Z     arg0_1, = args
2022-11-23T01:32:37.0017191Z     args.clear()
2022-11-23T01:32:37.0017388Z     buf0 = empty_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0017502Z     buf1 = as_strided(buf0, (8, 8, 64), (512, 64, 1)); del buf0  # reuse
2022-11-23T01:32:37.0017633Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg0_1.data_ptr()))
2022-11-23T01:32:37.0017739Z     return (as_strided(arg0_1, (8, 8, 64), (512, 64, 1)), buf1, )
2022-11-23T01:32:37.0017744Z 
2022-11-23T01:32:37.0017749Z 
2022-11-23T01:32:37.0017823Z if __name__ == "__main__":
2022-11-23T01:32:37.0017933Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.0018041Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.0018243Z     arg0_1 = rand_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0018399Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.0018404Z 
2022-11-23T01:32:37.0018469Z ok (2.677s)
2022-11-23T01:32:37.0018790Z   test_as_strided_scatter_cpu (__main__.CpuTests) ... [2022-11-23 01:14:42,486] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.0019059Z [2022-11-23 01:14:42,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.0019273Z [2022-11-23 01:14:42,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.0019522Z [2022-11-23 01:14:42,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.0019804Z [2022-11-23 01:14:42,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.0020116Z [2022-11-23 01:14:42,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.0020440Z [2022-11-23 01:14:42,487] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6437f60, file "inductor/test_torchinductor.py", line 3614> 
2022-11-23T01:32:37.0020532Z  3615           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.0020642Z                2 LOAD_ATTR                1 (as_strided_scatter)
2022-11-23T01:32:37.0020648Z 
2022-11-23T01:32:37.0020734Z 3616           4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0020823Z                6 LOAD_CONST               1 (8)
2022-11-23T01:32:37.0020902Z                8 BINARY_MULTIPLY
2022-11-23T01:32:37.0020996Z               10 LOAD_CONST               2 (10)
2022-11-23T01:32:37.0021057Z               12 BINARY_ADD
2022-11-23T01:32:37.0021075Z 
2022-11-23T01:32:37.0021152Z 3617          14 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0021264Z               16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.0021340Z               18 BINARY_MULTIPLY
2022-11-23T01:32:37.0021424Z               20 LOAD_CONST               4 (4)
2022-11-23T01:32:37.0021499Z               22 BINARY_SUBTRACT
2022-11-23T01:32:37.0021504Z 
2022-11-23T01:32:37.0021588Z 3618          24 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0021679Z               26 LOAD_ATTR                2 (shape)
2022-11-23T01:32:37.0021781Z               28 LOAD_CONST               5 (0)
2022-11-23T01:32:37.0021855Z               30 BINARY_SUBSCR
2022-11-23T01:32:37.0021941Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0022032Z               34 LOAD_ATTR                2 (shape)
2022-11-23T01:32:37.0022118Z               36 LOAD_CONST               6 (1)
2022-11-23T01:32:37.0022191Z               38 BINARY_SUBSCR
2022-11-23T01:32:37.0022275Z               40 LOAD_CONST               3 (2)
2022-11-23T01:32:37.0022345Z               42 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:37.0022435Z               44 BUILD_TUPLE              2
2022-11-23T01:32:37.0022440Z 
2022-11-23T01:32:37.0022525Z 3619          46 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0022615Z               48 LOAD_ATTR                2 (shape)
2022-11-23T01:32:37.0022700Z               50 LOAD_CONST               6 (1)
2022-11-23T01:32:37.0022779Z               52 BINARY_SUBSCR
2022-11-23T01:32:37.0022864Z               54 LOAD_CONST               3 (2)
2022-11-23T01:32:37.0022941Z               56 BUILD_TUPLE              2
2022-11-23T01:32:37.0022958Z 
2022-11-23T01:32:37.0023030Z 3620          58 LOAD_CONST               5 (0)
2022-11-23T01:32:37.0023222Z               60 LOAD_CONST               7 (('size', 'stride', 'storage_offset'))
2022-11-23T01:32:37.0023313Z               62 CALL_FUNCTION_KW         5
2022-11-23T01:32:37.0023389Z               64 RETURN_VALUE
2022-11-23T01:32:37.0023449Z  
2022-11-23T01:32:37.0023454Z 
2022-11-23T01:32:37.0023722Z [2022-11-23 01:14:42,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3615
2022-11-23T01:32:37.0023942Z [2022-11-23 01:14:42,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.0024267Z [2022-11-23 01:14:42,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_strided_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.0024612Z [2022-11-23 01:14:42,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3616
2022-11-23T01:32:37.0024888Z [2022-11-23 01:14:42,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter)]
2022-11-23T01:32:37.0025189Z [2022-11-23 01:14:42,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TorchVariable(aten.as_strided_scatter), TensorVariable()]
2022-11-23T01:32:37.0025539Z [2022-11-23 01:14:42,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(aten.as_strided_scatter), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0025844Z [2022-11-23 01:14:42,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.as_strided_scatter), TensorVariable()]
2022-11-23T01:32:37.0026186Z [2022-11-23 01:14:42,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.as_strided_scatter), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0026455Z [2022-11-23 01:14:42,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3617
2022-11-23T01:32:37.0026753Z [2022-11-23 01:14:42,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.as_strided_scatter), TensorVariable()]
2022-11-23T01:32:37.0027081Z [2022-11-23 01:14:42,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0027464Z [2022-11-23 01:14:42,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0027829Z [2022-11-23 01:14:42,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0028225Z [2022-11-23 01:14:42,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0028488Z [2022-11-23 01:14:42,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3618
2022-11-23T01:32:37.0028812Z [2022-11-23 01:14:42,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0029172Z [2022-11-23 01:14:42,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0029522Z [2022-11-23 01:14:42,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ShapeVariable()]
2022-11-23T01:32:37.0029926Z [2022-11-23 01:14:42,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ShapeVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0030289Z [2022-11-23 01:14:42,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0030686Z [2022-11-23 01:14:42,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.0031074Z [2022-11-23 01:14:42,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ShapeVariable()]
2022-11-23T01:32:37.0031516Z [2022-11-23 01:14:42,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ShapeVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0031921Z [2022-11-23 01:14:42,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0032382Z [2022-11-23 01:14:42,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0032789Z [2022-11-23 01:14:42,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0033061Z [2022-11-23 01:14:42,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3619
2022-11-23T01:32:37.0033399Z [2022-11-23 01:14:42,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.0033788Z [2022-11-23 01:14:42,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TensorVariable()]
2022-11-23T01:32:37.0034165Z [2022-11-23 01:14:42,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ShapeVariable()]
2022-11-23T01:32:37.0034594Z [2022-11-23 01:14:42,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ShapeVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0035018Z [2022-11-23 01:14:42,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0035475Z [2022-11-23 01:14:42,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0035742Z [2022-11-23 01:14:42,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3620
2022-11-23T01:32:37.0036121Z [2022-11-23 01:14:42,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable()]
2022-11-23T01:32:37.0036597Z [2022-11-23 01:14:42,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('size', 'stride', 'storage_offset') [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0037074Z [2022-11-23 01:14:42,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:37.0037426Z [2022-11-23 01:14:42,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0037756Z [2022-11-23 01:14:42,513] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6437f60, file "inductor/test_torchinductor.py", line 3614>
2022-11-23T01:32:37.0038002Z [2022-11-23 01:14:42,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0038238Z [2022-11-23 01:14:42,514] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.0038480Z [2022-11-23 01:14:42,515] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.0038725Z [2022-11-23 01:14:42,525] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.0038914Z [2022-11-23 01:14:42,526] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.0039048Z  __compiled_fn_24 <eval_with_key>.158 opcode, name, target, args, kwargs
2022-11-23T01:32:37.0039140Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.0039226Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.0039400Z call_function, mul, <built-in function mul>, (ex_0_, 8), {}
2022-11-23T01:32:37.0039570Z call_function, add, <built-in function add>, (mul, 10), {}
2022-11-23T01:32:37.0039729Z call_function, mul_1, <built-in function mul>, (ex_1_, 2), {}
2022-11-23T01:32:37.0039900Z call_function, sub, <built-in function sub>, (mul_1, 4), {}
2022-11-23T01:32:37.0040188Z call_function, as_strided_scatter, aten.as_strided_scatter, (add, sub), {'size': (10, 512), 'stride': (1024, 2), 'storage_offset': 0}
2022-11-23T01:32:37.0040304Z output, output, output, ((as_strided_scatter,),), {}
2022-11-23T01:32:37.0040310Z 
2022-11-23T01:32:37.0040592Z [2022-11-23 01:14:42,526] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0040686Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.0040776Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0040865Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.0040942Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.0041020Z               8 RETURN_VALUE
2022-11-23T01:32:37.0041025Z 
2022-11-23T01:32:37.0041086Z  
2022-11-23T01:32:37.0041414Z [2022-11-23 01:14:42,526] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0041523Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_24)
2022-11-23T01:32:37.0041613Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0041703Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0041779Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.0041899Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0041991Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0042067Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.0042156Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.0042245Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.0042321Z              18 RETURN_VALUE
2022-11-23T01:32:37.0042325Z 
2022-11-23T01:32:37.0042383Z  
2022-11-23T01:32:37.0042553Z [2022-11-23 01:14:42,528] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.0042621Z  - 
2022-11-23T01:32:37.0042741Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.0042805Z             {
2022-11-23T01:32:37.0042944Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.0043129Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.0043246Z                 'obj_weakref': None
2022-11-23T01:32:37.0043453Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.0043519Z             }
2022-11-23T01:32:37.0043581Z             
2022-11-23T01:32:37.0043651Z  - 
2022-11-23T01:32:37.0043771Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:37.0043832Z             {
2022-11-23T01:32:37.0043967Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:37.0044124Z                 'code': ['___check_type_id(ex[0], 107271106909856)'],
2022-11-23T01:32:37.0044333Z                 'obj_weakref': <weakref at 0x7f71070c0e30; to 'Tensor' at 0x7f71c25dba70>
2022-11-23T01:32:37.0044580Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0044643Z             }
2022-11-23T01:32:37.0044707Z             
2022-11-23T01:32:37.0044775Z  - 
2022-11-23T01:32:37.0044899Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.0044949Z             {
2022-11-23T01:32:37.0045091Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0045200Z                 'code': None,
2022-11-23T01:32:37.0045405Z                 'obj_weakref': <weakref at 0x7f71070c0e30; to 'Tensor' at 0x7f71c25dba70>
2022-11-23T01:32:37.0045647Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0045711Z             }
2022-11-23T01:32:37.0045774Z             
2022-11-23T01:32:37.0045829Z  - 
2022-11-23T01:32:37.0045952Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.0046013Z             {
2022-11-23T01:32:37.0046153Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0046258Z                 'code': None,
2022-11-23T01:32:37.0046460Z                 'obj_weakref': <weakref at 0x7f71070c0e90; to 'Tensor' at 0x7f71c25db650>
2022-11-23T01:32:37.0046699Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0046750Z             }
2022-11-23T01:32:37.0046811Z             
2022-11-23T01:32:37.0046876Z  - 
2022-11-23T01:32:37.0047008Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.0047069Z             {
2022-11-23T01:32:37.0047201Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.0047367Z                 'code': ['___check_obj_id(model, 140123422746384)'],
2022-11-23T01:32:37.0047472Z                 'obj_weakref': None
2022-11-23T01:32:37.0047697Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.0047759Z             }
2022-11-23T01:32:37.0047852Z             
2022-11-23T01:32:37.0047920Z  - 
2022-11-23T01:32:37.0048040Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.0048103Z             {
2022-11-23T01:32:37.0048226Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.0048444Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.0048560Z                 'obj_weakref': None
2022-11-23T01:32:37.0048805Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.0048868Z             }
2022-11-23T01:32:37.0048931Z             
2022-11-23T01:32:37.0048997Z  - 
2022-11-23T01:32:37.0049114Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.0049178Z             {
2022-11-23T01:32:37.0049295Z                 'guard_types': None,
2022-11-23T01:32:37.0049402Z                 'code': None,
2022-11-23T01:32:37.0049516Z                 'obj_weakref': None
2022-11-23T01:32:37.0049639Z                 'guarded_class': None
2022-11-23T01:32:37.0049700Z             }
2022-11-23T01:32:37.0049749Z             
2022-11-23T01:32:37.0050008Z [2022-11-23 01:14:42,542] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 23
2022-11-23T01:32:37.0050378Z [2022-11-23 01:14:45,099] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mt/cmtxkli3xy7rfv6br5mvghenwxgd4tdj3bkuaeduhgxojgukxwex.py
2022-11-23T01:32:37.0050641Z [2022-11-23 01:14:45,100] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 23
2022-11-23T01:32:37.0050647Z 
2022-11-23T01:32:37.0050738Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.0050806Z import torch
2022-11-23T01:32:37.0050875Z import random
2022-11-23T01:32:37.0050985Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.0051092Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.0051098Z 
2022-11-23T01:32:37.0051174Z aten = torch.ops.aten
2022-11-23T01:32:37.0051310Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.0051400Z async_compile = AsyncCompile()
2022-11-23T01:32:37.0051405Z 
2022-11-23T01:32:37.0051409Z 
2022-11-23T01:32:37.0051541Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.0051742Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.0051859Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.0051969Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.0052056Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.0052115Z {
2022-11-23T01:32:37.0052210Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.0052272Z     {
2022-11-23T01:32:37.0052349Z         #pragma omp for 
2022-11-23T01:32:37.0052432Z         for(long i0=0; i0<640; i0+=1)
2022-11-23T01:32:37.0052494Z         {
2022-11-23T01:32:37.0052618Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.0052753Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T01:32:37.0052839Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:37.0052967Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(10));
2022-11-23T01:32:37.0053050Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:37.0053141Z             tmp4.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.0053204Z         }
2022-11-23T01:32:37.0053288Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.0053376Z         for(long i0=10240; i0<10240; i0+=1)
2022-11-23T01:32:37.0053437Z         {
2022-11-23T01:32:37.0053519Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.0053621Z             auto tmp1 = static_cast<float>(8);
2022-11-23T01:32:37.0053704Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:37.0053802Z             auto tmp3 = static_cast<float>(10);
2022-11-23T01:32:37.0053871Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:37.0053984Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:37.0054046Z         }
2022-11-23T01:32:37.0054122Z         #pragma omp for 
2022-11-23T01:32:37.0054204Z         for(long i0=0; i0<5120; i0+=1)
2022-11-23T01:32:37.0054265Z         {
2022-11-23T01:32:37.0054328Z             {
2022-11-23T01:32:37.0054380Z                 {
2022-11-23T01:32:37.0054470Z                     auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:37.0054572Z                     auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:37.0054700Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:37.0054802Z                     auto tmp3 = static_cast<float>(4);
2022-11-23T01:32:37.0054938Z                     auto tmp4 = tmp2 - tmp3;
2022-11-23T01:32:37.0055024Z                     out_ptr0[2*i0] = tmp4;
2022-11-23T01:32:37.0055076Z                 }
2022-11-23T01:32:37.0055138Z             }
2022-11-23T01:32:37.0055199Z         }
2022-11-23T01:32:37.0055261Z     }
2022-11-23T01:32:37.0055320Z }
2022-11-23T01:32:37.0055401Z ''')
2022-11-23T01:32:37.0055406Z 
2022-11-23T01:32:37.0055411Z 
2022-11-23T01:32:37.0055500Z async_compile.wait(globals())
2022-11-23T01:32:37.0055559Z del async_compile
2022-11-23T01:32:37.0055563Z 
2022-11-23T01:32:37.0055633Z def call(args):
2022-11-23T01:32:37.0055709Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.0055779Z     args.clear()
2022-11-23T01:32:37.0055986Z     buf0 = empty_strided((10, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0056151Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.0056219Z     del arg0_1
2022-11-23T01:32:37.0056272Z     del arg1_1
2022-11-23T01:32:37.0056342Z     return (buf0, )
2022-11-23T01:32:37.0056347Z 
2022-11-23T01:32:37.0056351Z 
2022-11-23T01:32:37.0056427Z if __name__ == "__main__":
2022-11-23T01:32:37.0056540Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.0056662Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.0056870Z     arg0_1 = rand_strided((10, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0057069Z     arg1_1 = rand_strided((10, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0057182Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.0057187Z 
2022-11-23T01:32:37.0057240Z ok (2.632s)
2022-11-23T01:32:37.0057550Z   test_avg_pool2d1_cpu (__main__.CpuTests) ... [2022-11-23 01:14:45,116] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.0057823Z [2022-11-23 01:14:45,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.0058042Z [2022-11-23 01:14:45,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.0058295Z [2022-11-23 01:14:45,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.0058581Z [2022-11-23 01:14:45,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.0058907Z [2022-11-23 01:14:45,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.0059236Z [2022-11-23 01:14:45,117] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f640aae0, file "inductor/test_torchinductor.py", line 2011> 
2022-11-23T01:32:37.0059333Z  2012           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.0059421Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T01:32:37.0059514Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.0059604Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:37.0059692Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:37.0059780Z               10 BUILD_LIST               2
2022-11-23T01:32:37.0059866Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:37.0059983Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:37.0060055Z               16 BUILD_LIST               2
2022-11-23T01:32:37.0060142Z               18 CALL_METHOD              3
2022-11-23T01:32:37.0060218Z               20 RETURN_VALUE
2022-11-23T01:32:37.0060277Z  
2022-11-23T01:32:37.0060282Z 
2022-11-23T01:32:37.0060548Z [2022-11-23 01:14:45,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2012
2022-11-23T01:32:37.0060798Z [2022-11-23 01:14:45,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.0061115Z [2022-11-23 01:14:45,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.0061372Z [2022-11-23 01:14:45,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:37.0061659Z [2022-11-23 01:14:45,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:37.0061972Z [2022-11-23 01:14:45,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0062334Z [2022-11-23 01:14:45,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0062646Z [2022-11-23 01:14:45,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.0062992Z [2022-11-23 01:14:45,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0063378Z [2022-11-23 01:14:45,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0063719Z [2022-11-23 01:14:45,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.0063968Z [2022-11-23 01:14:45,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0064305Z [2022-11-23 01:14:45,132] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f640aae0, file "inductor/test_torchinductor.py", line 2011>
2022-11-23T01:32:37.0064635Z [2022-11-23 01:14:45,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0064874Z [2022-11-23 01:14:45,133] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.0065132Z [2022-11-23 01:14:45,134] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.0065371Z [2022-11-23 01:14:45,140] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.0065562Z [2022-11-23 01:14:45,141] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.0065697Z  __compiled_fn_25 <eval_with_key>.164 opcode, name, target, args, kwargs
2022-11-23T01:32:37.0065787Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.0065915Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2]), {}
2022-11-23T01:32:37.0066024Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:37.0066029Z 
2022-11-23T01:32:37.0066308Z [2022-11-23 01:14:45,141] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0066403Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.0066481Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0066576Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.0066666Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.0066784Z               8 RETURN_VALUE
2022-11-23T01:32:37.0066789Z 
2022-11-23T01:32:37.0066850Z  
2022-11-23T01:32:37.0067125Z [2022-11-23 01:14:45,141] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0067230Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_25)
2022-11-23T01:32:37.0067319Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0067424Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0067500Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.0067587Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.0067677Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.0067754Z              12 RETURN_VALUE
2022-11-23T01:32:37.0067759Z 
2022-11-23T01:32:37.0067819Z  
2022-11-23T01:32:37.0067999Z [2022-11-23 01:14:45,143] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.0068054Z  - 
2022-11-23T01:32:37.0068174Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.0068238Z             {
2022-11-23T01:32:37.0068376Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.0068559Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.0068679Z                 'obj_weakref': None
2022-11-23T01:32:37.0068903Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.0068954Z             }
2022-11-23T01:32:37.0069019Z             
2022-11-23T01:32:37.0069087Z  - 
2022-11-23T01:32:37.0069209Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.0069272Z             {
2022-11-23T01:32:37.0069413Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0069519Z                 'code': None,
2022-11-23T01:32:37.0069712Z                 'obj_weakref': <weakref at 0x7f71070c8470; to 'Tensor' at 0x7f71070c1350>
2022-11-23T01:32:37.0069958Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0070024Z             }
2022-11-23T01:32:37.0070087Z             
2022-11-23T01:32:37.0070156Z  - 
2022-11-23T01:32:37.0070284Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.0070350Z             {
2022-11-23T01:32:37.0070470Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.0070637Z                 'code': ['___check_obj_id(model, 140123415640256)'],
2022-11-23T01:32:37.0070757Z                 'obj_weakref': None
2022-11-23T01:32:37.0070982Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.0071044Z             }
2022-11-23T01:32:37.0071107Z             
2022-11-23T01:32:37.0071174Z  - 
2022-11-23T01:32:37.0071282Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.0071344Z             {
2022-11-23T01:32:37.0071479Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.0071696Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.0071814Z                 'obj_weakref': None
2022-11-23T01:32:37.0072032Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.0072095Z             }
2022-11-23T01:32:37.0072145Z             
2022-11-23T01:32:37.0072212Z  - 
2022-11-23T01:32:37.0072344Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.0072407Z             {
2022-11-23T01:32:37.0072527Z                 'guard_types': None,
2022-11-23T01:32:37.0072632Z                 'code': None,
2022-11-23T01:32:37.0072749Z                 'obj_weakref': None
2022-11-23T01:32:37.0072855Z                 'guarded_class': None
2022-11-23T01:32:37.0072918Z             }
2022-11-23T01:32:37.0072979Z             
2022-11-23T01:32:37.0073236Z [2022-11-23 01:14:45,150] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 24
2022-11-23T01:32:37.0073601Z [2022-11-23 01:14:47,758] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3t/c3tfdlu2n7htvebmhpi76qnyel3mvgalq5yo3wxm6v3xdjd6cmqv.py
2022-11-23T01:32:37.0073894Z [2022-11-23 01:14:47,758] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 24
2022-11-23T01:32:37.0073899Z 
2022-11-23T01:32:37.0073992Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.0074061Z import torch
2022-11-23T01:32:37.0074116Z import random
2022-11-23T01:32:37.0074257Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.0074380Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.0074385Z 
2022-11-23T01:32:37.0074462Z aten = torch.ops.aten
2022-11-23T01:32:37.0074596Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.0074689Z async_compile = AsyncCompile()
2022-11-23T01:32:37.0074694Z 
2022-11-23T01:32:37.0074698Z 
2022-11-23T01:32:37.0074832Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.0075038Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.0075146Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.0075246Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.0075309Z {
2022-11-23T01:32:37.0075406Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.0075469Z     {
2022-11-23T01:32:37.0075547Z         #pragma omp for 
2022-11-23T01:32:37.0075629Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.0075681Z         {
2022-11-23T01:32:37.0075762Z             #pragma GCC ivdep
2022-11-23T01:32:37.0075848Z             for(long i1=0; i1<7; i1+=1)
2022-11-23T01:32:37.0075912Z             {
2022-11-23T01:32:37.0075996Z                 #pragma GCC ivdep
2022-11-23T01:32:37.0076086Z                 for(long i2=0; i2<7; i2+=1)
2022-11-23T01:32:37.0076137Z                 {
2022-11-23T01:32:37.0076205Z                     {
2022-11-23T01:32:37.0076274Z                         {
2022-11-23T01:32:37.0076390Z                             auto tmp0 = in_ptr0[(2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:37.0076505Z                             auto tmp1 = in_ptr0[1 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:37.0076617Z                             auto tmp3 = in_ptr0[2 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:37.0076732Z                             auto tmp5 = in_ptr0[16 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:37.0076844Z                             auto tmp7 = in_ptr0[17 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:37.0076939Z                             auto tmp9 = in_ptr0[18 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:37.0077054Z                             auto tmp11 = in_ptr0[32 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:37.0077268Z                             auto tmp13 = in_ptr0[33 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:37.0077377Z                             auto tmp15 = in_ptr0[34 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:37.0077475Z                             auto tmp2 = tmp1 + tmp0;
2022-11-23T01:32:37.0077571Z                             auto tmp4 = tmp3 + tmp2;
2022-11-23T01:32:37.0077662Z                             auto tmp6 = tmp5 + tmp4;
2022-11-23T01:32:37.0077753Z                             auto tmp8 = tmp7 + tmp6;
2022-11-23T01:32:37.0077836Z                             auto tmp10 = tmp9 + tmp8;
2022-11-23T01:32:37.0077934Z                             auto tmp12 = tmp11 + tmp10;
2022-11-23T01:32:37.0078034Z                             auto tmp14 = tmp13 + tmp12;
2022-11-23T01:32:37.0078131Z                             auto tmp16 = tmp15 + tmp14;
2022-11-23T01:32:37.0078250Z                             auto tmp17 = static_cast<float>(0.1111111111111111);
2022-11-23T01:32:37.0078346Z                             auto tmp18 = tmp16 * tmp17;
2022-11-23T01:32:37.0078453Z                             out_ptr0[i2 + (7*i1) + (49*i0)] = tmp18;
2022-11-23T01:32:37.0078511Z                         }
2022-11-23T01:32:37.0078578Z                     }
2022-11-23T01:32:37.0078695Z                 }
2022-11-23T01:32:37.0078760Z             }
2022-11-23T01:32:37.0078825Z         }
2022-11-23T01:32:37.0078889Z     }
2022-11-23T01:32:37.0078953Z }
2022-11-23T01:32:37.0079021Z ''')
2022-11-23T01:32:37.0079026Z 
2022-11-23T01:32:37.0079030Z 
2022-11-23T01:32:37.0079121Z async_compile.wait(globals())
2022-11-23T01:32:37.0079196Z del async_compile
2022-11-23T01:32:37.0079201Z 
2022-11-23T01:32:37.0079273Z def call(args):
2022-11-23T01:32:37.0079377Z     arg0_1, = args
2022-11-23T01:32:37.0079451Z     args.clear()
2022-11-23T01:32:37.0079664Z     buf0 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0079784Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.0079851Z     del arg0_1
2022-11-23T01:32:37.0079922Z     return (buf0, )
2022-11-23T01:32:37.0079927Z 
2022-11-23T01:32:37.0079931Z 
2022-11-23T01:32:37.0080006Z if __name__ == "__main__":
2022-11-23T01:32:37.0080121Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.0080242Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.0080460Z     arg0_1 = rand_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0080566Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.0080572Z 
2022-11-23T01:32:37.0080624Z ok (2.653s)
2022-11-23T01:32:37.0080938Z   test_avg_pool2d2_cpu (__main__.CpuTests) ... [2022-11-23 01:14:47,971] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.0081206Z [2022-11-23 01:14:47,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.0081425Z [2022-11-23 01:14:47,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.0081678Z [2022-11-23 01:14:47,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.0081965Z [2022-11-23 01:14:47,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.0082288Z [2022-11-23 01:14:47,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.0082614Z [2022-11-23 01:14:47,971] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f640ac00, file "inductor/test_torchinductor.py", line 2020> 
2022-11-23T01:32:37.0082713Z  2021           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.0082812Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T01:32:37.0082892Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.0082982Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:37.0083068Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:37.0083156Z               10 BUILD_LIST               2
2022-11-23T01:32:37.0083243Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:37.0083332Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:37.0083417Z               16 BUILD_LIST               2
2022-11-23T01:32:37.0083490Z               18 CALL_METHOD              3
2022-11-23T01:32:37.0083567Z               20 RETURN_VALUE
2022-11-23T01:32:37.0083626Z  
2022-11-23T01:32:37.0083631Z 
2022-11-23T01:32:37.0083904Z [2022-11-23 01:14:47,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2021
2022-11-23T01:32:37.0084120Z [2022-11-23 01:14:47,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.0084437Z [2022-11-23 01:14:47,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.0084694Z [2022-11-23 01:14:47,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:37.0084978Z [2022-11-23 01:14:47,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:37.0085335Z [2022-11-23 01:14:47,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0085767Z [2022-11-23 01:14:47,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0086080Z [2022-11-23 01:14:47,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.0086425Z [2022-11-23 01:14:47,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0086816Z [2022-11-23 01:14:47,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0087157Z [2022-11-23 01:14:47,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.0087405Z [2022-11-23 01:14:47,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0087737Z [2022-11-23 01:14:47,986] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f640ac00, file "inductor/test_torchinductor.py", line 2020>
2022-11-23T01:32:37.0087982Z [2022-11-23 01:14:47,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0088217Z [2022-11-23 01:14:47,986] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.0088470Z [2022-11-23 01:14:47,989] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.0088721Z [2022-11-23 01:14:47,995] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.0088896Z [2022-11-23 01:14:47,995] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.0089032Z  __compiled_fn_26 <eval_with_key>.170 opcode, name, target, args, kwargs
2022-11-23T01:32:37.0089122Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.0089253Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2]), {}
2022-11-23T01:32:37.0089365Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:37.0089371Z 
2022-11-23T01:32:37.0089646Z [2022-11-23 01:14:47,996] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0089740Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.0089829Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0089908Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.0090000Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.0090076Z               8 RETURN_VALUE
2022-11-23T01:32:37.0090081Z 
2022-11-23T01:32:37.0090142Z  
2022-11-23T01:32:37.0090418Z [2022-11-23 01:14:47,996] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0090525Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_26)
2022-11-23T01:32:37.0090616Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0090692Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0090768Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.0090856Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.0090946Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.0091020Z              12 RETURN_VALUE
2022-11-23T01:32:37.0091025Z 
2022-11-23T01:32:37.0091085Z  
2022-11-23T01:32:37.0091265Z [2022-11-23 01:14:47,997] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.0091352Z  - 
2022-11-23T01:32:37.0091469Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.0091533Z             {
2022-11-23T01:32:37.0091674Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.0091860Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.0091976Z                 'obj_weakref': None
2022-11-23T01:32:37.0092199Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.0092291Z             }
2022-11-23T01:32:37.0092342Z             
2022-11-23T01:32:37.0092410Z  - 
2022-11-23T01:32:37.0092532Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.0092595Z             {
2022-11-23T01:32:37.0092736Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0092842Z                 'code': None,
2022-11-23T01:32:37.0093038Z                 'obj_weakref': <weakref at 0x7f710623f8f0; to 'Tensor' at 0x7f71064fb770>
2022-11-23T01:32:37.0093284Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0093350Z             }
2022-11-23T01:32:37.0093414Z             
2022-11-23T01:32:37.0093484Z  - 
2022-11-23T01:32:37.0093613Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.0093677Z             {
2022-11-23T01:32:37.0093797Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.0093965Z                 'code': ['___check_obj_id(model, 140123419198240)'],
2022-11-23T01:32:37.0094083Z                 'obj_weakref': None
2022-11-23T01:32:37.0094308Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.0094370Z             }
2022-11-23T01:32:37.0094433Z             
2022-11-23T01:32:37.0094501Z  - 
2022-11-23T01:32:37.0094608Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.0094670Z             {
2022-11-23T01:32:37.0094807Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.0095026Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.0095142Z                 'obj_weakref': None
2022-11-23T01:32:37.0095357Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.0095420Z             }
2022-11-23T01:32:37.0095482Z             
2022-11-23T01:32:37.0095537Z  - 
2022-11-23T01:32:37.0095669Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.0095733Z             {
2022-11-23T01:32:37.0095852Z                 'guard_types': None,
2022-11-23T01:32:37.0095958Z                 'code': None,
2022-11-23T01:32:37.0096074Z                 'obj_weakref': None
2022-11-23T01:32:37.0096180Z                 'guarded_class': None
2022-11-23T01:32:37.0096242Z             }
2022-11-23T01:32:37.0096304Z             
2022-11-23T01:32:37.0096560Z [2022-11-23 01:14:48,004] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 25
2022-11-23T01:32:37.0096927Z [2022-11-23 01:14:50,594] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/as/casx3wk3iu3u2f44uci2nu47lfusrip5rjku5jgfxbsakjze7bht.py
2022-11-23T01:32:37.0097188Z [2022-11-23 01:14:50,595] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 25
2022-11-23T01:32:37.0097193Z 
2022-11-23T01:32:37.0097285Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.0097355Z import torch
2022-11-23T01:32:37.0097410Z import random
2022-11-23T01:32:37.0097525Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.0097646Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.0097651Z 
2022-11-23T01:32:37.0097728Z aten = torch.ops.aten
2022-11-23T01:32:37.0097861Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.0097952Z async_compile = AsyncCompile()
2022-11-23T01:32:37.0097957Z 
2022-11-23T01:32:37.0097961Z 
2022-11-23T01:32:37.0098094Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.0098327Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.0098433Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.0098531Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.0098591Z {
2022-11-23T01:32:37.0098688Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.0098749Z     {
2022-11-23T01:32:37.0098828Z         #pragma omp for 
2022-11-23T01:32:37.0098938Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:37.0098990Z         {
2022-11-23T01:32:37.0099068Z             #pragma GCC ivdep
2022-11-23T01:32:37.0099154Z             for(long i1=0; i1<27; i1+=1)
2022-11-23T01:32:37.0099217Z             {
2022-11-23T01:32:37.0099298Z                 #pragma GCC ivdep
2022-11-23T01:32:37.0099388Z                 for(long i2=0; i2<27; i2+=1)
2022-11-23T01:32:37.0099452Z                 {
2022-11-23T01:32:37.0099505Z                     {
2022-11-23T01:32:37.0099576Z                         {
2022-11-23T01:32:37.0099689Z                             auto tmp0 = in_ptr0[(2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:37.0099804Z                             auto tmp1 = in_ptr0[1 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:37.0099915Z                             auto tmp3 = in_ptr0[2 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:37.0100028Z                             auto tmp5 = in_ptr0[55 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:37.0100140Z                             auto tmp7 = in_ptr0[56 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:37.0100233Z                             auto tmp9 = in_ptr0[57 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:37.0100350Z                             auto tmp11 = in_ptr0[110 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:37.0100463Z                             auto tmp13 = in_ptr0[111 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:37.0100573Z                             auto tmp15 = in_ptr0[112 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:37.0100672Z                             auto tmp2 = tmp1 + tmp0;
2022-11-23T01:32:37.0100763Z                             auto tmp4 = tmp3 + tmp2;
2022-11-23T01:32:37.0100854Z                             auto tmp6 = tmp5 + tmp4;
2022-11-23T01:32:37.0100943Z                             auto tmp8 = tmp7 + tmp6;
2022-11-23T01:32:37.0101026Z                             auto tmp10 = tmp9 + tmp8;
2022-11-23T01:32:37.0101123Z                             auto tmp12 = tmp11 + tmp10;
2022-11-23T01:32:37.0101217Z                             auto tmp14 = tmp13 + tmp12;
2022-11-23T01:32:37.0101311Z                             auto tmp16 = tmp15 + tmp14;
2022-11-23T01:32:37.0101430Z                             auto tmp17 = static_cast<float>(0.1111111111111111);
2022-11-23T01:32:37.0101524Z                             auto tmp18 = tmp16 * tmp17;
2022-11-23T01:32:37.0101628Z                             out_ptr0[i2 + (27*i1) + (729*i0)] = tmp18;
2022-11-23T01:32:37.0101702Z                         }
2022-11-23T01:32:37.0101756Z                     }
2022-11-23T01:32:37.0101820Z                 }
2022-11-23T01:32:37.0101886Z             }
2022-11-23T01:32:37.0101948Z         }
2022-11-23T01:32:37.0102009Z     }
2022-11-23T01:32:37.0102068Z }
2022-11-23T01:32:37.0102135Z ''')
2022-11-23T01:32:37.0102140Z 
2022-11-23T01:32:37.0102156Z 
2022-11-23T01:32:37.0102233Z async_compile.wait(globals())
2022-11-23T01:32:37.0102307Z del async_compile
2022-11-23T01:32:37.0102311Z 
2022-11-23T01:32:37.0102382Z def call(args):
2022-11-23T01:32:37.0102452Z     arg0_1, = args
2022-11-23T01:32:37.0102522Z     args.clear()
2022-11-23T01:32:37.0102745Z     buf0 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0102878Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.0102932Z     del arg0_1
2022-11-23T01:32:37.0103003Z     return (buf0, )
2022-11-23T01:32:37.0103007Z 
2022-11-23T01:32:37.0103011Z 
2022-11-23T01:32:37.0103127Z if __name__ == "__main__":
2022-11-23T01:32:37.0103241Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.0103362Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.0103590Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0103696Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.0103701Z 
2022-11-23T01:32:37.0103767Z ok (3.025s)
2022-11-23T01:32:37.0104095Z   test_avg_pool2d3_cpu (__main__.CpuTests) ... [2022-11-23 01:14:50,795] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.0104366Z [2022-11-23 01:14:50,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.0104674Z [2022-11-23 01:14:50,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.0104929Z [2022-11-23 01:14:50,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.0105219Z [2022-11-23 01:14:50,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.0105543Z [2022-11-23 01:14:50,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.0105873Z [2022-11-23 01:14:50,796] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f640ad20, file "inductor/test_torchinductor.py", line 2029> 
2022-11-23T01:32:37.0105970Z  2030           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.0106072Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T01:32:37.0106150Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.0106242Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:37.0106332Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:37.0106423Z               10 BUILD_LIST               2
2022-11-23T01:32:37.0106514Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:37.0106602Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:37.0106689Z               16 BUILD_LIST               2
2022-11-23T01:32:37.0106762Z               18 LOAD_CONST               3 (1)
2022-11-23T01:32:37.0106848Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:37.0106934Z               22 BUILD_LIST               2
2022-11-23T01:32:37.0107023Z               24 CALL_METHOD              4
2022-11-23T01:32:37.0107101Z               26 RETURN_VALUE
2022-11-23T01:32:37.0107163Z  
2022-11-23T01:32:37.0107169Z 
2022-11-23T01:32:37.0107435Z [2022-11-23 01:14:50,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2030
2022-11-23T01:32:37.0107656Z [2022-11-23 01:14:50,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.0107959Z [2022-11-23 01:14:50,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.0108217Z [2022-11-23 01:14:50,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:37.0108503Z [2022-11-23 01:14:50,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:37.0108830Z [2022-11-23 01:14:50,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0109192Z [2022-11-23 01:14:50,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0109504Z [2022-11-23 01:14:50,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.0109886Z [2022-11-23 01:14:50,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0110272Z [2022-11-23 01:14:50,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0110637Z [2022-11-23 01:14:50,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.0111007Z [2022-11-23 01:14:50,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0111419Z [2022-11-23 01:14:50,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0111784Z [2022-11-23 01:14:50,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.0112017Z [2022-11-23 01:14:50,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0112350Z [2022-11-23 01:14:50,811] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f640ad20, file "inductor/test_torchinductor.py", line 2029>
2022-11-23T01:32:37.0112598Z [2022-11-23 01:14:50,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0112832Z [2022-11-23 01:14:50,812] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.0113083Z [2022-11-23 01:14:50,813] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.0113331Z [2022-11-23 01:14:50,819] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.0113520Z [2022-11-23 01:14:50,819] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.0113655Z  __compiled_fn_27 <eval_with_key>.176 opcode, name, target, args, kwargs
2022-11-23T01:32:37.0113744Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.0113862Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [1, 1]), {}
2022-11-23T01:32:37.0113969Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:37.0113974Z 
2022-11-23T01:32:37.0114246Z [2022-11-23 01:14:50,820] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0114338Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.0114428Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0114518Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.0114611Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.0114687Z               8 RETURN_VALUE
2022-11-23T01:32:37.0114692Z 
2022-11-23T01:32:37.0114740Z  
2022-11-23T01:32:37.0115017Z [2022-11-23 01:14:50,820] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0115126Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_27)
2022-11-23T01:32:37.0115218Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0115310Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0115390Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.0115480Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.0115557Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.0115632Z              12 RETURN_VALUE
2022-11-23T01:32:37.0115637Z 
2022-11-23T01:32:37.0115697Z  
2022-11-23T01:32:37.0115880Z [2022-11-23 01:14:50,821] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.0115949Z  - 
2022-11-23T01:32:37.0116099Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.0116162Z             {
2022-11-23T01:32:37.0116289Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.0116475Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.0116595Z                 'obj_weakref': None
2022-11-23T01:32:37.0116818Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.0116911Z             }
2022-11-23T01:32:37.0116977Z             
2022-11-23T01:32:37.0117045Z  - 
2022-11-23T01:32:37.0117246Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.0117311Z             {
2022-11-23T01:32:37.0117455Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0117561Z                 'code': None,
2022-11-23T01:32:37.0117771Z                 'obj_weakref': <weakref at 0x7f71070fce30; to 'Tensor' at 0x7f71c25dbbf0>
2022-11-23T01:32:37.0118022Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0118089Z             }
2022-11-23T01:32:37.0118153Z             
2022-11-23T01:32:37.0118208Z  - 
2022-11-23T01:32:37.0118338Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.0118402Z             {
2022-11-23T01:32:37.0118538Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.0118707Z                 'code': ['___check_obj_id(model, 140124018235584)'],
2022-11-23T01:32:37.0118828Z                 'obj_weakref': None
2022-11-23T01:32:37.0119056Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.0119107Z             }
2022-11-23T01:32:37.0119174Z             
2022-11-23T01:32:37.0119244Z  - 
2022-11-23T01:32:37.0119365Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.0119428Z             {
2022-11-23T01:32:37.0119565Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.0119771Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.0119891Z                 'obj_weakref': None
2022-11-23T01:32:37.0120111Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.0120176Z             }
2022-11-23T01:32:37.0120239Z             
2022-11-23T01:32:37.0120308Z  - 
2022-11-23T01:32:37.0120442Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.0120494Z             {
2022-11-23T01:32:37.0120613Z                 'guard_types': None,
2022-11-23T01:32:37.0120718Z                 'code': None,
2022-11-23T01:32:37.0120834Z                 'obj_weakref': None
2022-11-23T01:32:37.0120955Z                 'guarded_class': None
2022-11-23T01:32:37.0121019Z             }
2022-11-23T01:32:37.0121081Z             
2022-11-23T01:32:37.0121324Z [2022-11-23 01:14:50,828] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 26
2022-11-23T01:32:37.0121688Z [2022-11-23 01:14:53,479] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/72/c72i6chx6frqp7sbe3tkoqjirev6xsjes36gnirjur2s5paoxanu.py
2022-11-23T01:32:37.0121951Z [2022-11-23 01:14:53,480] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 26
2022-11-23T01:32:37.0121956Z 
2022-11-23T01:32:37.0122050Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.0122119Z import torch
2022-11-23T01:32:37.0122188Z import random
2022-11-23T01:32:37.0122304Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.0122424Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.0122430Z 
2022-11-23T01:32:37.0122496Z aten = torch.ops.aten
2022-11-23T01:32:37.0122628Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.0122719Z async_compile = AsyncCompile()
2022-11-23T01:32:37.0122724Z 
2022-11-23T01:32:37.0122728Z 
2022-11-23T01:32:37.0122861Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.0123116Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.0123236Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.0123342Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.0123405Z {
2022-11-23T01:32:37.0123489Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.0123552Z     {
2022-11-23T01:32:37.0123630Z         #pragma omp for 
2022-11-23T01:32:37.0123746Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.0123811Z         {
2022-11-23T01:32:37.0123893Z             #pragma GCC ivdep
2022-11-23T01:32:37.0123976Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:37.0124026Z             {
2022-11-23T01:32:37.0124091Z                 {
2022-11-23T01:32:37.0124159Z                     {
2022-11-23T01:32:37.0124334Z                         auto tmp0 = static_cast<long>((-1) + (2*i0));
2022-11-23T01:32:37.0124439Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T01:32:37.0124536Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:32:37.0124640Z                         auto tmp3 = static_cast<long>(8);
2022-11-23T01:32:37.0124723Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T01:32:37.0124815Z                         auto tmp5 = tmp2 & tmp4;
2022-11-23T01:32:37.0124987Z                         auto tmp6 = static_cast<long>((-1) + (2*i1));
2022-11-23T01:32:37.0125079Z                         auto tmp7 = tmp6 >= tmp1;
2022-11-23T01:32:37.0125173Z                         auto tmp8 = tmp6 < tmp3;
2022-11-23T01:32:37.0125264Z                         auto tmp9 = tmp7 & tmp8;
2022-11-23T01:32:37.0125357Z                         auto tmp10 = tmp5 & tmp9;
2022-11-23T01:32:37.0125430Z                         float tmp11 = 0.0;
2022-11-23T01:32:37.0125505Z                         if(tmp10)
2022-11-23T01:32:37.0125573Z                         {
2022-11-23T01:32:37.0125745Z                             auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)];
2022-11-23T01:32:37.0125831Z                             tmp11 = tmp12;
2022-11-23T01:32:37.0125900Z                         }
2022-11-23T01:32:37.0126008Z                         auto tmp13 = static_cast<long>(2*i1);
2022-11-23T01:32:37.0126090Z                         auto tmp14 = tmp13 >= tmp1;
2022-11-23T01:32:37.0126181Z                         auto tmp15 = tmp13 < tmp3;
2022-11-23T01:32:37.0126274Z                         auto tmp16 = tmp14 & tmp15;
2022-11-23T01:32:37.0126366Z                         auto tmp17 = tmp5 & tmp16;
2022-11-23T01:32:37.0126450Z                         float tmp18 = 0.0;
2022-11-23T01:32:37.0126526Z                         if(tmp17)
2022-11-23T01:32:37.0126594Z                         {
2022-11-23T01:32:37.0126764Z                             auto tmp19 = in_ptr0[(-8) + (2*i1) + (16*i0)];
2022-11-23T01:32:37.0126833Z                             tmp18 = tmp19;
2022-11-23T01:32:37.0126899Z                         }
2022-11-23T01:32:37.0126992Z                         auto tmp20 = tmp18 + tmp11;
2022-11-23T01:32:37.0127106Z                         auto tmp21 = static_cast<long>(1 + (2*i1));
2022-11-23T01:32:37.0127198Z                         auto tmp22 = tmp21 >= tmp1;
2022-11-23T01:32:37.0127289Z                         auto tmp23 = tmp21 < tmp3;
2022-11-23T01:32:37.0127379Z                         auto tmp24 = tmp22 & tmp23;
2022-11-23T01:32:37.0127457Z                         auto tmp25 = tmp5 & tmp24;
2022-11-23T01:32:37.0127541Z                         float tmp26 = 0.0;
2022-11-23T01:32:37.0127618Z                         if(tmp25)
2022-11-23T01:32:37.0127686Z                         {
2022-11-23T01:32:37.0127859Z                             auto tmp27 = in_ptr0[(-7) + (2*i1) + (16*i0)];
2022-11-23T01:32:37.0127942Z                             tmp26 = tmp27;
2022-11-23T01:32:37.0128012Z                         }
2022-11-23T01:32:37.0128093Z                         auto tmp28 = tmp26 + tmp20;
2022-11-23T01:32:37.0128200Z                         auto tmp29 = static_cast<long>(2*i0);
2022-11-23T01:32:37.0128324Z                         auto tmp30 = tmp29 >= tmp1;
2022-11-23T01:32:37.0128414Z                         auto tmp31 = tmp29 < tmp3;
2022-11-23T01:32:37.0128503Z                         auto tmp32 = tmp30 & tmp31;
2022-11-23T01:32:37.0128591Z                         auto tmp33 = tmp32 & tmp9;
2022-11-23T01:32:37.0128675Z                         float tmp34 = 0.0;
2022-11-23T01:32:37.0128737Z                         if(tmp33)
2022-11-23T01:32:37.0128847Z                         {
2022-11-23T01:32:37.0129020Z                             auto tmp35 = in_ptr0[(-1) + (2*i1) + (16*i0)];
2022-11-23T01:32:37.0129101Z                             tmp34 = tmp35;
2022-11-23T01:32:37.0129169Z                         }
2022-11-23T01:32:37.0129260Z                         auto tmp36 = tmp34 + tmp28;
2022-11-23T01:32:37.0129350Z                         auto tmp37 = tmp32 & tmp16;
2022-11-23T01:32:37.0129422Z                         float tmp38 = 0.0;
2022-11-23T01:32:37.0129496Z                         if(tmp37)
2022-11-23T01:32:37.0129565Z                         {
2022-11-23T01:32:37.0129671Z                             auto tmp39 = in_ptr0[(2*i1) + (16*i0)];
2022-11-23T01:32:37.0129752Z                             tmp38 = tmp39;
2022-11-23T01:32:37.0129819Z                         }
2022-11-23T01:32:37.0129910Z                         auto tmp40 = tmp38 + tmp36;
2022-11-23T01:32:37.0129987Z                         auto tmp41 = tmp32 & tmp24;
2022-11-23T01:32:37.0130072Z                         float tmp42 = 0.0;
2022-11-23T01:32:37.0130146Z                         if(tmp41)
2022-11-23T01:32:37.0130213Z                         {
2022-11-23T01:32:37.0130321Z                             auto tmp43 = in_ptr0[1 + (2*i1) + (16*i0)];
2022-11-23T01:32:37.0130403Z                             tmp42 = tmp43;
2022-11-23T01:32:37.0130472Z                         }
2022-11-23T01:32:37.0130565Z                         auto tmp44 = tmp42 + tmp40;
2022-11-23T01:32:37.0130663Z                         auto tmp45 = static_cast<long>(1 + (2*i0));
2022-11-23T01:32:37.0130758Z                         auto tmp46 = tmp45 >= tmp1;
2022-11-23T01:32:37.0130851Z                         auto tmp47 = tmp45 < tmp3;
2022-11-23T01:32:37.0130943Z                         auto tmp48 = tmp46 & tmp47;
2022-11-23T01:32:37.0131032Z                         auto tmp49 = tmp48 & tmp9;
2022-11-23T01:32:37.0131116Z                         float tmp50 = 0.0;
2022-11-23T01:32:37.0131191Z                         if(tmp49)
2022-11-23T01:32:37.0131248Z                         {
2022-11-23T01:32:37.0131354Z                             auto tmp51 = in_ptr0[7 + (2*i1) + (16*i0)];
2022-11-23T01:32:37.0131435Z                             tmp50 = tmp51;
2022-11-23T01:32:37.0131502Z                         }
2022-11-23T01:32:37.0131595Z                         auto tmp52 = tmp50 + tmp44;
2022-11-23T01:32:37.0131686Z                         auto tmp53 = tmp48 & tmp16;
2022-11-23T01:32:37.0131770Z                         float tmp54 = 0.0;
2022-11-23T01:32:37.0131834Z                         if(tmp53)
2022-11-23T01:32:37.0131900Z                         {
2022-11-23T01:32:37.0132007Z                             auto tmp55 = in_ptr0[8 + (2*i1) + (16*i0)];
2022-11-23T01:32:37.0132089Z                             tmp54 = tmp55;
2022-11-23T01:32:37.0132157Z                         }
2022-11-23T01:32:37.0132247Z                         auto tmp56 = tmp54 + tmp52;
2022-11-23T01:32:37.0132336Z                         auto tmp57 = tmp48 & tmp24;
2022-11-23T01:32:37.0132409Z                         float tmp58 = 0.0;
2022-11-23T01:32:37.0132483Z                         if(tmp57)
2022-11-23T01:32:37.0132551Z                         {
2022-11-23T01:32:37.0132654Z                             auto tmp59 = in_ptr0[9 + (2*i1) + (16*i0)];
2022-11-23T01:32:37.0132735Z                             tmp58 = tmp59;
2022-11-23T01:32:37.0132801Z                         }
2022-11-23T01:32:37.0132892Z                         auto tmp60 = tmp58 + tmp56;
2022-11-23T01:32:37.0132995Z                         auto tmp61 = static_cast<float>(0.1111111111111111);
2022-11-23T01:32:37.0133116Z                         auto tmp62 = tmp60 * tmp61;
2022-11-23T01:32:37.0133211Z                         out_ptr0[i1 + (4*i0)] = tmp62;
2022-11-23T01:32:37.0133277Z                     }
2022-11-23T01:32:37.0133342Z                 }
2022-11-23T01:32:37.0133405Z             }
2022-11-23T01:32:37.0133468Z         }
2022-11-23T01:32:37.0133517Z     }
2022-11-23T01:32:37.0133576Z }
2022-11-23T01:32:37.0133681Z ''')
2022-11-23T01:32:37.0133688Z 
2022-11-23T01:32:37.0133692Z 
2022-11-23T01:32:37.0133782Z async_compile.wait(globals())
2022-11-23T01:32:37.0133854Z del async_compile
2022-11-23T01:32:37.0133859Z 
2022-11-23T01:32:37.0133931Z def call(args):
2022-11-23T01:32:37.0134001Z     arg0_1, = args
2022-11-23T01:32:37.0134059Z     args.clear()
2022-11-23T01:32:37.0134273Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0134407Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.0134479Z     del arg0_1
2022-11-23T01:32:37.0134551Z     return (buf0, )
2022-11-23T01:32:37.0134556Z 
2022-11-23T01:32:37.0134560Z 
2022-11-23T01:32:37.0134635Z if __name__ == "__main__":
2022-11-23T01:32:37.0134748Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.0134870Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.0135070Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0135176Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.0135181Z 
2022-11-23T01:32:37.0135247Z ok (2.696s)
2022-11-23T01:32:37.0135559Z   test_avg_pool2d4_cpu (__main__.CpuTests) ... [2022-11-23 01:14:53,504] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.0135830Z [2022-11-23 01:14:53,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.0136048Z [2022-11-23 01:14:53,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.0136301Z [2022-11-23 01:14:53,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.0136586Z [2022-11-23 01:14:53,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.0136912Z [2022-11-23 01:14:53,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.0137225Z [2022-11-23 01:14:53,505] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f640ae40, file "inductor/test_torchinductor.py", line 2038> 
2022-11-23T01:32:37.0137321Z  2039           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.0137423Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T01:32:37.0137513Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.0137606Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:37.0137692Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:37.0137779Z               10 BUILD_LIST               2
2022-11-23T01:32:37.0137866Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:37.0137939Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:37.0138025Z               16 BUILD_LIST               2
2022-11-23T01:32:37.0138113Z               18 LOAD_CONST               3 (0)
2022-11-23T01:32:37.0138198Z               20 LOAD_CONST               3 (0)
2022-11-23T01:32:37.0138283Z               22 BUILD_LIST               2
2022-11-23T01:32:37.0138374Z               24 LOAD_CONST               4 (True)
2022-11-23T01:32:37.0138460Z               26 CALL_METHOD              5
2022-11-23T01:32:37.0138523Z               28 RETURN_VALUE
2022-11-23T01:32:37.0138583Z  
2022-11-23T01:32:37.0138589Z 
2022-11-23T01:32:37.0138855Z [2022-11-23 01:14:53,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2039
2022-11-23T01:32:37.0139099Z [2022-11-23 01:14:53,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.0139417Z [2022-11-23 01:14:53,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.0139700Z [2022-11-23 01:14:53,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:37.0139990Z [2022-11-23 01:14:53,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:37.0140316Z [2022-11-23 01:14:53,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0140676Z [2022-11-23 01:14:53,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0140990Z [2022-11-23 01:14:53,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.0141323Z [2022-11-23 01:14:53,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0141712Z [2022-11-23 01:14:53,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0142048Z [2022-11-23 01:14:53,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.0142419Z [2022-11-23 01:14:53,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0142830Z [2022-11-23 01:14:53,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0143196Z [2022-11-23 01:14:53,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.0143600Z [2022-11-23 01:14:53,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.0143845Z [2022-11-23 01:14:53,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0144177Z [2022-11-23 01:14:53,524] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f640ae40, file "inductor/test_torchinductor.py", line 2038>
2022-11-23T01:32:37.0144423Z [2022-11-23 01:14:53,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0144747Z [2022-11-23 01:14:53,525] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.0144999Z [2022-11-23 01:14:53,555] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.0145236Z [2022-11-23 01:14:53,563] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.0145426Z [2022-11-23 01:14:53,564] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.0145561Z  __compiled_fn_28 <eval_with_key>.182 opcode, name, target, args, kwargs
2022-11-23T01:32:37.0145653Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.0145792Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [0, 0], True), {}
2022-11-23T01:32:37.0145933Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:37.0145940Z 
2022-11-23T01:32:37.0146220Z [2022-11-23 01:14:53,564] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0146316Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.0146395Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0146488Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.0146609Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.0146687Z               8 RETURN_VALUE
2022-11-23T01:32:37.0146693Z 
2022-11-23T01:32:37.0146754Z  
2022-11-23T01:32:37.0147027Z [2022-11-23 01:14:53,565] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0147135Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_28)
2022-11-23T01:32:37.0147223Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0147304Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0147381Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.0147471Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.0147562Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.0147639Z              12 RETURN_VALUE
2022-11-23T01:32:37.0147644Z 
2022-11-23T01:32:37.0147705Z  
2022-11-23T01:32:37.0147889Z [2022-11-23 01:14:53,566] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.0147947Z  - 
2022-11-23T01:32:37.0148067Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.0148130Z             {
2022-11-23T01:32:37.0148269Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.0148457Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.0148575Z                 'obj_weakref': None
2022-11-23T01:32:37.0148798Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.0148852Z             }
2022-11-23T01:32:37.0148915Z             
2022-11-23T01:32:37.0148983Z  - 
2022-11-23T01:32:37.0149107Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.0149170Z             {
2022-11-23T01:32:37.0149311Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0149417Z                 'code': None,
2022-11-23T01:32:37.0149611Z                 'obj_weakref': <weakref at 0x7f71070c87d0; to 'Tensor' at 0x7f71070c8f50>
2022-11-23T01:32:37.0149861Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0149925Z             }
2022-11-23T01:32:37.0149988Z             
2022-11-23T01:32:37.0150056Z  - 
2022-11-23T01:32:37.0150186Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.0150251Z             {
2022-11-23T01:32:37.0150370Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.0150537Z                 'code': ['___check_obj_id(model, 140126569020736)'],
2022-11-23T01:32:37.0150659Z                 'obj_weakref': None
2022-11-23T01:32:37.0150884Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.0150947Z             }
2022-11-23T01:32:37.0151009Z             
2022-11-23T01:32:37.0151077Z  - 
2022-11-23T01:32:37.0151186Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.0151248Z             {
2022-11-23T01:32:37.0151382Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.0151606Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.0151725Z                 'obj_weakref': None
2022-11-23T01:32:37.0151945Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.0152009Z             }
2022-11-23T01:32:37.0152059Z             
2022-11-23T01:32:37.0152129Z  - 
2022-11-23T01:32:37.0152261Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.0152324Z             {
2022-11-23T01:32:37.0152475Z                 'guard_types': None,
2022-11-23T01:32:37.0152578Z                 'code': None,
2022-11-23T01:32:37.0152696Z                 'obj_weakref': None
2022-11-23T01:32:37.0152810Z                 'guarded_class': None
2022-11-23T01:32:37.0152873Z             }
2022-11-23T01:32:37.0152935Z             
2022-11-23T01:32:37.0153193Z [2022-11-23 01:14:53,576] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 27
2022-11-23T01:32:37.0153590Z [2022-11-23 01:14:56,239] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ki/cki5s36qscydieki2es4ljtwrx5a7favox2byukyhdmeiflrlfvl.py
2022-11-23T01:32:37.0153852Z [2022-11-23 01:14:56,240] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 27
2022-11-23T01:32:37.0153860Z 
2022-11-23T01:32:37.0153954Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.0154023Z import torch
2022-11-23T01:32:37.0154079Z import random
2022-11-23T01:32:37.0154197Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.0154318Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.0154323Z 
2022-11-23T01:32:37.0154401Z aten = torch.ops.aten
2022-11-23T01:32:37.0154539Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.0154632Z async_compile = AsyncCompile()
2022-11-23T01:32:37.0154637Z 
2022-11-23T01:32:37.0154642Z 
2022-11-23T01:32:37.0154775Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.0154985Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.0155091Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.0155191Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.0155252Z {
2022-11-23T01:32:37.0155351Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.0155413Z     {
2022-11-23T01:32:37.0155492Z         #pragma omp for 
2022-11-23T01:32:37.0155561Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:37.0155626Z         {
2022-11-23T01:32:37.0155705Z             #pragma GCC ivdep
2022-11-23T01:32:37.0155791Z             for(long i1=0; i1<55; i1+=1)
2022-11-23T01:32:37.0155856Z             {
2022-11-23T01:32:37.0155938Z                 #pragma GCC ivdep
2022-11-23T01:32:37.0156027Z                 for(long i2=0; i2<55; i2+=1)
2022-11-23T01:32:37.0156079Z                 {
2022-11-23T01:32:37.0156147Z                     {
2022-11-23T01:32:37.0156217Z                         {
2022-11-23T01:32:37.0156329Z                             auto tmp0 = in_ptr0[(2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:37.0156441Z                             auto tmp1 = in_ptr0[1 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:37.0156550Z                             auto tmp3 = in_ptr0[2 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:37.0156664Z                             auto tmp5 = in_ptr0[111 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:37.0156777Z                             auto tmp7 = in_ptr0[112 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:37.0156878Z                             auto tmp9 = in_ptr0[113 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:37.0156994Z                             auto tmp11 = in_ptr0[222 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:37.0157204Z                             auto tmp13 = in_ptr0[223 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:37.0157326Z                             auto tmp15 = in_ptr0[224 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:37.0157425Z                             auto tmp2 = tmp1 + tmp0;
2022-11-23T01:32:37.0157519Z                             auto tmp4 = tmp3 + tmp2;
2022-11-23T01:32:37.0157614Z                             auto tmp6 = tmp5 + tmp4;
2022-11-23T01:32:37.0157705Z                             auto tmp8 = tmp7 + tmp6;
2022-11-23T01:32:37.0157787Z                             auto tmp10 = tmp9 + tmp8;
2022-11-23T01:32:37.0157885Z                             auto tmp12 = tmp11 + tmp10;
2022-11-23T01:32:37.0158027Z                             auto tmp14 = tmp13 + tmp12;
2022-11-23T01:32:37.0158123Z                             auto tmp16 = tmp15 + tmp14;
2022-11-23T01:32:37.0158240Z                             auto tmp17 = static_cast<float>(0.1111111111111111);
2022-11-23T01:32:37.0158335Z                             auto tmp18 = tmp16 * tmp17;
2022-11-23T01:32:37.0158440Z                             out_ptr0[i2 + (55*i1) + (3025*i0)] = tmp18;
2022-11-23T01:32:37.0158535Z                         }
2022-11-23T01:32:37.0158603Z                     }
2022-11-23T01:32:37.0158669Z                 }
2022-11-23T01:32:37.0158734Z             }
2022-11-23T01:32:37.0158798Z         }
2022-11-23T01:32:37.0158861Z     }
2022-11-23T01:32:37.0158920Z }
2022-11-23T01:32:37.0158987Z ''')
2022-11-23T01:32:37.0158991Z 
2022-11-23T01:32:37.0158996Z 
2022-11-23T01:32:37.0159085Z async_compile.wait(globals())
2022-11-23T01:32:37.0159157Z del async_compile
2022-11-23T01:32:37.0159161Z 
2022-11-23T01:32:37.0159234Z def call(args):
2022-11-23T01:32:37.0159303Z     arg0_1, = args
2022-11-23T01:32:37.0159374Z     args.clear()
2022-11-23T01:32:37.0159595Z     buf0 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0159715Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.0159780Z     del arg0_1
2022-11-23T01:32:37.0159850Z     return (buf0, )
2022-11-23T01:32:37.0159855Z 
2022-11-23T01:32:37.0159859Z 
2022-11-23T01:32:37.0159936Z if __name__ == "__main__":
2022-11-23T01:32:37.0160047Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.0160167Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.0160394Z     arg0_1 = rand_strided((2, 8, 111, 111), (98568, 12321, 111, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0160500Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.0160505Z 
2022-11-23T01:32:37.0160557Z ok (2.788s)
2022-11-23T01:32:37.0160872Z   test_avg_pool2d5_cpu (__main__.CpuTests) ... [2022-11-23 01:14:56,280] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.0161144Z [2022-11-23 01:14:56,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.0161361Z [2022-11-23 01:14:56,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.0161615Z [2022-11-23 01:14:56,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.0161898Z [2022-11-23 01:14:56,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.0162220Z [2022-11-23 01:14:56,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.0162547Z [2022-11-23 01:14:56,281] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f640af60, file "inductor/test_torchinductor.py", line 2047> 
2022-11-23T01:32:37.0162645Z  2048           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.0162731Z                2 LOAD_ATTR                1 (avg_pool2d)
2022-11-23T01:32:37.0162822Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.0162911Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:37.0162998Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:37.0163088Z               10 BUILD_LIST               2
2022-11-23T01:32:37.0163175Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:37.0163259Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:37.0163344Z               16 BUILD_LIST               2
2022-11-23T01:32:37.0163416Z               18 LOAD_CONST               3 (1)
2022-11-23T01:32:37.0163502Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:37.0163586Z               22 BUILD_LIST               2
2022-11-23T01:32:37.0163708Z               24 LOAD_CONST               4 (False)
2022-11-23T01:32:37.0163875Z               26 LOAD_CONST               5 (('count_include_pad',))
2022-11-23T01:32:37.0163967Z               28 CALL_FUNCTION_KW         5
2022-11-23T01:32:37.0164042Z               30 RETURN_VALUE
2022-11-23T01:32:37.0164090Z  
2022-11-23T01:32:37.0164095Z 
2022-11-23T01:32:37.0164362Z [2022-11-23 01:14:56,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2048
2022-11-23T01:32:37.0164614Z [2022-11-23 01:14:56,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.0164931Z [2022-11-23 01:14:56,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.0165188Z [2022-11-23 01:14:56,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:37.0165472Z [2022-11-23 01:14:56,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:37.0165797Z [2022-11-23 01:14:56,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0166160Z [2022-11-23 01:14:56,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0166472Z [2022-11-23 01:14:56,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.0166814Z [2022-11-23 01:14:56,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0167187Z [2022-11-23 01:14:56,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0167520Z [2022-11-23 01:14:56,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.0167885Z [2022-11-23 01:14:56,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0168298Z [2022-11-23 01:14:56,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0168661Z [2022-11-23 01:14:56,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.0169095Z [2022-11-23 01:14:56,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('count_include_pad',) [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.0169546Z [2022-11-23 01:14:56,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:37.0169798Z [2022-11-23 01:14:56,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0170129Z [2022-11-23 01:14:56,301] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f640af60, file "inductor/test_torchinductor.py", line 2047>
2022-11-23T01:32:37.0170373Z [2022-11-23 01:14:56,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0170609Z [2022-11-23 01:14:56,301] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.0170894Z [2022-11-23 01:14:56,303] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.0171138Z [2022-11-23 01:14:56,310] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.0171313Z [2022-11-23 01:14:56,310] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.0171486Z  __compiled_fn_29 <eval_with_key>.188 opcode, name, target, args, kwargs
2022-11-23T01:32:37.0171578Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.0171816Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [1, 1]), {'count_include_pad': False}
2022-11-23T01:32:37.0171920Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:37.0171926Z 
2022-11-23T01:32:37.0172201Z [2022-11-23 01:14:56,311] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0172296Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.0172387Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0172466Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.0172555Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.0172632Z               8 RETURN_VALUE
2022-11-23T01:32:37.0172637Z 
2022-11-23T01:32:37.0172698Z  
2022-11-23T01:32:37.0172975Z [2022-11-23 01:14:56,311] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0173081Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_29)
2022-11-23T01:32:37.0173170Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0173245Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0173321Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.0173408Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.0173497Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.0173574Z              12 RETURN_VALUE
2022-11-23T01:32:37.0173581Z 
2022-11-23T01:32:37.0173643Z  
2022-11-23T01:32:37.0173825Z [2022-11-23 01:14:56,313] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.0173895Z  - 
2022-11-23T01:32:37.0174000Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.0174067Z             {
2022-11-23T01:32:37.0174207Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.0174392Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.0174512Z                 'obj_weakref': None
2022-11-23T01:32:37.0174734Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.0174797Z             }
2022-11-23T01:32:37.0174847Z             
2022-11-23T01:32:37.0174920Z  - 
2022-11-23T01:32:37.0175042Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.0175104Z             {
2022-11-23T01:32:37.0175246Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0175353Z                 'code': None,
2022-11-23T01:32:37.0175563Z                 'obj_weakref': <weakref at 0x7f71c134fcb0; to 'Tensor' at 0x7f710636c890>
2022-11-23T01:32:37.0175799Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0175862Z             }
2022-11-23T01:32:37.0175929Z             
2022-11-23T01:32:37.0176000Z  - 
2022-11-23T01:32:37.0176128Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.0176194Z             {
2022-11-23T01:32:37.0176328Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.0176483Z                 'code': ['___check_obj_id(model, 140124018277120)'],
2022-11-23T01:32:37.0176599Z                 'obj_weakref': None
2022-11-23T01:32:37.0176826Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.0176889Z             }
2022-11-23T01:32:37.0176951Z             
2022-11-23T01:32:37.0177020Z  - 
2022-11-23T01:32:37.0177157Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.0177219Z             {
2022-11-23T01:32:37.0177354Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.0177571Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.0177689Z                 'obj_weakref': None
2022-11-23T01:32:37.0177905Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.0177996Z             }
2022-11-23T01:32:37.0178058Z             
2022-11-23T01:32:37.0178113Z  - 
2022-11-23T01:32:37.0178244Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.0178307Z             {
2022-11-23T01:32:37.0178425Z                 'guard_types': None,
2022-11-23T01:32:37.0178532Z                 'code': None,
2022-11-23T01:32:37.0178649Z                 'obj_weakref': None
2022-11-23T01:32:37.0178756Z                 'guarded_class': None
2022-11-23T01:32:37.0178818Z             }
2022-11-23T01:32:37.0178883Z             
2022-11-23T01:32:37.0179141Z [2022-11-23 01:14:56,322] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 28
2022-11-23T01:32:37.0179147Z 
2022-11-23T01:32:37.0179241Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.0179309Z import torch
2022-11-23T01:32:37.0179377Z import random
2022-11-23T01:32:37.0179491Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.0179602Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.0179607Z 
2022-11-23T01:32:37.0179684Z aten = torch.ops.aten
2022-11-23T01:32:37.0179816Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.0179908Z async_compile = AsyncCompile()
2022-11-23T01:32:37.0179913Z 
2022-11-23T01:32:37.0179917Z 
2022-11-23T01:32:37.0180049Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.0180252Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.0180371Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.0180469Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.0180517Z {
2022-11-23T01:32:37.0180614Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.0180678Z     {
2022-11-23T01:32:37.0180758Z         #pragma omp for 
2022-11-23T01:32:37.0180838Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.0180900Z         {
2022-11-23T01:32:37.0180967Z             #pragma GCC ivdep
2022-11-23T01:32:37.0181052Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:37.0181114Z             {
2022-11-23T01:32:37.0181178Z                 {
2022-11-23T01:32:37.0181245Z                     {
2022-11-23T01:32:37.0181418Z                         auto tmp0 = static_cast<long>((-1) + (2*i0));
2022-11-23T01:32:37.0181522Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T01:32:37.0181603Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:32:37.0181704Z                         auto tmp3 = static_cast<long>(8);
2022-11-23T01:32:37.0181799Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T01:32:37.0181891Z                         auto tmp5 = tmp2 & tmp4;
2022-11-23T01:32:37.0182062Z                         auto tmp6 = static_cast<long>((-1) + (2*i1));
2022-11-23T01:32:37.0182156Z                         auto tmp7 = tmp6 >= tmp1;
2022-11-23T01:32:37.0182247Z                         auto tmp8 = tmp6 < tmp3;
2022-11-23T01:32:37.0182339Z                         auto tmp9 = tmp7 & tmp8;
2022-11-23T01:32:37.0182419Z                         auto tmp10 = tmp5 & tmp9;
2022-11-23T01:32:37.0182505Z                         float tmp11 = 0.0;
2022-11-23T01:32:37.0182580Z                         if(tmp10)
2022-11-23T01:32:37.0182648Z                         {
2022-11-23T01:32:37.0182820Z                             auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)];
2022-11-23T01:32:37.0182903Z                             tmp11 = tmp12;
2022-11-23T01:32:37.0182970Z                         }
2022-11-23T01:32:37.0183132Z                         auto tmp13 = static_cast<long>(2*i1);
2022-11-23T01:32:37.0183228Z                         auto tmp14 = tmp13 >= tmp1;
2022-11-23T01:32:37.0183323Z                         auto tmp15 = tmp13 < tmp3;
2022-11-23T01:32:37.0183418Z                         auto tmp16 = tmp14 & tmp15;
2022-11-23T01:32:37.0183511Z                         auto tmp17 = tmp5 & tmp16;
2022-11-23T01:32:37.0183597Z                         float tmp18 = 0.0;
2022-11-23T01:32:37.0183705Z                         if(tmp17)
2022-11-23T01:32:37.0183761Z                         {
2022-11-23T01:32:37.0183934Z                             auto tmp19 = in_ptr0[(-8) + (2*i1) + (16*i0)];
2022-11-23T01:32:37.0184018Z                             tmp18 = tmp19;
2022-11-23T01:32:37.0184087Z                         }
2022-11-23T01:32:37.0184182Z                         auto tmp20 = tmp18 + tmp11;
2022-11-23T01:32:37.0184291Z                         auto tmp21 = static_cast<long>(1 + (2*i1));
2022-11-23T01:32:37.0184386Z                         auto tmp22 = tmp21 >= tmp1;
2022-11-23T01:32:37.0184559Z                         auto tmp23 = tmp21 < tmp3;
2022-11-23T01:32:37.0184654Z                         auto tmp24 = tmp22 & tmp23;
2022-11-23T01:32:37.0184745Z                         auto tmp25 = tmp5 & tmp24;
2022-11-23T01:32:37.0184831Z                         float tmp26 = 0.0;
2022-11-23T01:32:37.0184908Z                         if(tmp25)
2022-11-23T01:32:37.0184978Z                         {
2022-11-23T01:32:37.0185160Z                             auto tmp27 = in_ptr0[(-7) + (2*i1) + (16*i0)];
2022-11-23T01:32:37.0185229Z                             tmp26 = tmp27;
2022-11-23T01:32:37.0185299Z                         }
2022-11-23T01:32:37.0185393Z                         auto tmp28 = tmp26 + tmp20;
2022-11-23T01:32:37.0185502Z                         auto tmp29 = static_cast<long>(2*i0);
2022-11-23T01:32:37.0185597Z                         auto tmp30 = tmp29 >= tmp1;
2022-11-23T01:32:37.0185690Z                         auto tmp31 = tmp29 < tmp3;
2022-11-23T01:32:37.0185781Z                         auto tmp32 = tmp30 & tmp31;
2022-11-23T01:32:37.0185875Z                         auto tmp33 = tmp32 & tmp9;
2022-11-23T01:32:37.0185945Z                         float tmp34 = 0.0;
2022-11-23T01:32:37.0186020Z                         if(tmp33)
2022-11-23T01:32:37.0186087Z                         {
2022-11-23T01:32:37.0186259Z                             auto tmp35 = in_ptr0[(-1) + (2*i1) + (16*i0)];
2022-11-23T01:32:37.0186342Z                             tmp34 = tmp35;
2022-11-23T01:32:37.0186413Z                         }
2022-11-23T01:32:37.0186504Z                         auto tmp36 = tmp34 + tmp28;
2022-11-23T01:32:37.0186581Z                         auto tmp37 = tmp32 & tmp16;
2022-11-23T01:32:37.0186665Z                         float tmp38 = 0.0;
2022-11-23T01:32:37.0186740Z                         if(tmp37)
2022-11-23T01:32:37.0186808Z                         {
2022-11-23T01:32:37.0186914Z                             auto tmp39 = in_ptr0[(2*i1) + (16*i0)];
2022-11-23T01:32:37.0186997Z                             tmp38 = tmp39;
2022-11-23T01:32:37.0187065Z                         }
2022-11-23T01:32:37.0187144Z                         auto tmp40 = tmp38 + tmp36;
2022-11-23T01:32:37.0187233Z                         auto tmp41 = tmp32 & tmp24;
2022-11-23T01:32:37.0203462Z                         float tmp42 = 0.0;
2022-11-23T01:32:37.0203722Z                         if(tmp41)
2022-11-23T01:32:37.0203837Z                         {
2022-11-23T01:32:37.0204012Z                             auto tmp43 = in_ptr0[1 + (2*i1) + (16*i0)];
2022-11-23T01:32:37.0204144Z                             tmp42 = tmp43;
2022-11-23T01:32:37.0204246Z                         }
2022-11-23T01:32:37.0204389Z                         auto tmp44 = tmp42 + tmp40;
2022-11-23T01:32:37.0204557Z                         auto tmp45 = static_cast<long>(1 + (2*i0));
2022-11-23T01:32:37.0204695Z                         auto tmp46 = tmp45 >= tmp1;
2022-11-23T01:32:37.0204992Z                         auto tmp47 = tmp45 < tmp3;
2022-11-23T01:32:37.0205143Z                         auto tmp48 = tmp46 & tmp47;
2022-11-23T01:32:37.0205287Z                         auto tmp49 = tmp48 & tmp9;
2022-11-23T01:32:37.0205401Z                         float tmp50 = 0.0;
2022-11-23T01:32:37.0205520Z                         if(tmp49)
2022-11-23T01:32:37.0205625Z                         {
2022-11-23T01:32:37.0205886Z                             auto tmp51 = in_ptr0[7 + (2*i1) + (16*i0)];
2022-11-23T01:32:37.0206023Z                             tmp50 = tmp51;
2022-11-23T01:32:37.0206133Z                         }
2022-11-23T01:32:37.0206278Z                         auto tmp52 = tmp50 + tmp44;
2022-11-23T01:32:37.0206393Z                         auto tmp53 = tmp48 & tmp16;
2022-11-23T01:32:37.0206519Z                         float tmp54 = 0.0;
2022-11-23T01:32:37.0206638Z                         if(tmp53)
2022-11-23T01:32:37.0206745Z                         {
2022-11-23T01:32:37.0206919Z                             auto tmp55 = in_ptr0[8 + (2*i1) + (16*i0)];
2022-11-23T01:32:37.0207047Z                             tmp54 = tmp55;
2022-11-23T01:32:37.0207162Z                         }
2022-11-23T01:32:37.0207300Z                         auto tmp56 = tmp54 + tmp52;
2022-11-23T01:32:37.0207439Z                         auto tmp57 = tmp48 & tmp24;
2022-11-23T01:32:37.0207574Z                         float tmp58 = 0.0;
2022-11-23T01:32:37.0207696Z                         if(tmp57)
2022-11-23T01:32:37.0207806Z                         {
2022-11-23T01:32:37.0208007Z                             auto tmp59 = in_ptr0[9 + (2*i1) + (16*i0)];
2022-11-23T01:32:37.0208124Z                             tmp58 = tmp59;
2022-11-23T01:32:37.0208235Z                         }
2022-11-23T01:32:37.0208364Z                         auto tmp60 = tmp58 + tmp56;
2022-11-23T01:32:37.0208530Z                         float tmp61 = 0.0;
2022-11-23T01:32:37.0208644Z                         if(tmp10)
2022-11-23T01:32:37.0208792Z                         {
2022-11-23T01:32:37.0208951Z                             auto tmp62 = static_cast<float>(1);
2022-11-23T01:32:37.0209089Z                             tmp61 = tmp62;
2022-11-23T01:32:37.0209233Z                         }
2022-11-23T01:32:37.0209333Z                         float tmp63 = 0.0;
2022-11-23T01:32:37.0209435Z                         if(tmp17)
2022-11-23T01:32:37.0209542Z                         {
2022-11-23T01:32:37.0209715Z                             auto tmp64 = static_cast<float>(1);
2022-11-23T01:32:37.0209846Z                             tmp63 = tmp64;
2022-11-23T01:32:37.0209968Z                         }
2022-11-23T01:32:37.0210147Z                         auto tmp65 = tmp63 + tmp61;
2022-11-23T01:32:37.0210278Z                         float tmp66 = 0.0;
2022-11-23T01:32:37.0210407Z                         if(tmp25)
2022-11-23T01:32:37.0210527Z                         {
2022-11-23T01:32:37.0210714Z                             auto tmp67 = static_cast<float>(1);
2022-11-23T01:32:37.0210872Z                             tmp66 = tmp67;
2022-11-23T01:32:37.0210999Z                         }
2022-11-23T01:32:37.0211173Z                         auto tmp68 = tmp66 + tmp65;
2022-11-23T01:32:37.0211310Z                         float tmp69 = 0.0;
2022-11-23T01:32:37.0211448Z                         if(tmp33)
2022-11-23T01:32:37.0211573Z                         {
2022-11-23T01:32:37.0211771Z                             auto tmp70 = static_cast<float>(1);
2022-11-23T01:32:37.0211930Z                             tmp69 = tmp70;
2022-11-23T01:32:37.0212057Z                         }
2022-11-23T01:32:37.0212228Z                         auto tmp71 = tmp69 + tmp68;
2022-11-23T01:32:37.0212369Z                         float tmp72 = 0.0;
2022-11-23T01:32:37.0212505Z                         if(tmp37)
2022-11-23T01:32:37.0212606Z                         {
2022-11-23T01:32:37.0212762Z                             auto tmp73 = static_cast<float>(1);
2022-11-23T01:32:37.0212885Z                             tmp72 = tmp73;
2022-11-23T01:32:37.0213100Z                         }
2022-11-23T01:32:37.0213241Z                         auto tmp74 = tmp72 + tmp71;
2022-11-23T01:32:37.0213351Z                         float tmp75 = 0.0;
2022-11-23T01:32:37.0213460Z                         if(tmp41)
2022-11-23T01:32:37.0213584Z                         {
2022-11-23T01:32:37.0213782Z                             auto tmp76 = static_cast<float>(1);
2022-11-23T01:32:37.0213989Z                             tmp75 = tmp76;
2022-11-23T01:32:37.0214116Z                         }
2022-11-23T01:32:37.0214285Z                         auto tmp77 = tmp75 + tmp74;
2022-11-23T01:32:37.0214400Z                         float tmp78 = 0.0;
2022-11-23T01:32:37.0214538Z                         if(tmp49)
2022-11-23T01:32:37.0214663Z                         {
2022-11-23T01:32:37.0214814Z                             auto tmp79 = static_cast<float>(1);
2022-11-23T01:32:37.0214934Z                             tmp78 = tmp79;
2022-11-23T01:32:37.0215037Z                         }
2022-11-23T01:32:37.0215184Z                         auto tmp80 = tmp78 + tmp77;
2022-11-23T01:32:37.0215303Z                         float tmp81 = 0.0;
2022-11-23T01:32:37.0215425Z                         if(tmp53)
2022-11-23T01:32:37.0215529Z                         {
2022-11-23T01:32:37.0215694Z                             auto tmp82 = static_cast<float>(1);
2022-11-23T01:32:37.0215822Z                             tmp81 = tmp82;
2022-11-23T01:32:37.0215934Z                         }
2022-11-23T01:32:37.0216086Z                         auto tmp83 = tmp81 + tmp80;
2022-11-23T01:32:37.0216209Z                         float tmp84 = 0.0;
2022-11-23T01:32:37.0216325Z                         if(tmp57)
2022-11-23T01:32:37.0216519Z                         {
2022-11-23T01:32:37.0216696Z                             auto tmp85 = static_cast<float>(1);
2022-11-23T01:32:37.0216824Z                             tmp84 = tmp85;
2022-11-23T01:32:37.0216934Z                         }
2022-11-23T01:32:37.0217090Z                         auto tmp86 = tmp84 + tmp83;
2022-11-23T01:32:37.0217224Z                         auto tmp87 = tmp60 / tmp86;
2022-11-23T01:32:37.0217368Z                         out_ptr0[i1 + (4*i0)] = tmp87;
2022-11-23T01:32:37.0217476Z                     }
2022-11-23T01:32:37.0217577Z                 }
2022-11-23T01:32:37.0217682Z             }
2022-11-23T01:32:37.0217791Z         }
2022-11-23T01:32:37.0217894Z     }
2022-11-23T01:32:37.0217974Z }
2022-11-23T01:32:37.0218163Z ''')
2022-11-23T01:32:37.0218174Z 
2022-11-23T01:32:37.0218181Z 
2022-11-23T01:32:37.0218332Z async_compile.wait(globals())
2022-11-23T01:32:37.0218451Z del async_compile
2022-11-23T01:32:37.0218459Z 
2022-11-23T01:32:37.0218568Z def call(args):
2022-11-23T01:32:37.0218684Z     arg0_1, = args
2022-11-23T01:32:37.0218799Z     args.clear()
2022-11-23T01:32:37.0219122Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0219337Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.0219442Z     del arg0_1
2022-11-23T01:32:37.0219551Z     return (buf0, )
2022-11-23T01:32:37.0219557Z 
2022-11-23T01:32:37.0219564Z 
2022-11-23T01:32:37.0219680Z if __name__ == "__main__":
2022-11-23T01:32:37.0219859Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.0220048Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.0220357Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0220498Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.0221075Z [2022-11-23 01:14:59,017] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jp/cjpdc52kuexqto7hy7yrznam2bkauwd2dtypg3ubzgl3zvagazrp.py
2022-11-23T01:32:37.0221505Z [2022-11-23 01:14:59,018] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 28
2022-11-23T01:32:37.0221513Z 
2022-11-23T01:32:37.0221709Z ok (2.749s)
2022-11-23T01:32:37.0222197Z   test_avg_pool2d6_cpu (__main__.CpuTests) ... [2022-11-23 01:14:59,030] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.0222638Z [2022-11-23 01:14:59,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.0222980Z [2022-11-23 01:14:59,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.0223468Z [2022-11-23 01:14:59,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.0223952Z [2022-11-23 01:14:59,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.0224548Z [2022-11-23 01:14:59,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.0225087Z [2022-11-23 01:14:59,031] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f640f0c0, file "inductor/test_torchinductor.py", line 2056> 
2022-11-23T01:32:37.0225241Z  2057           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.0225400Z                2 LOAD_ATTR                1 (avg_pool2d)
2022-11-23T01:32:37.0225547Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.0225686Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:37.0225828Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:37.0225975Z               10 BUILD_LIST               2
2022-11-23T01:32:37.0226101Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:37.0226245Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:37.0226384Z               16 BUILD_LIST               2
2022-11-23T01:32:37.0226527Z               18 LOAD_CONST               3 (1)
2022-11-23T01:32:37.0226666Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:37.0226806Z               22 BUILD_LIST               2
2022-11-23T01:32:37.0226947Z               24 LOAD_CONST               1 (3)
2022-11-23T01:32:37.0227210Z               26 LOAD_CONST               4 (('divisor_override',))
2022-11-23T01:32:37.0227352Z               28 CALL_FUNCTION_KW         5
2022-11-23T01:32:37.0227469Z               30 RETURN_VALUE
2022-11-23T01:32:37.0227570Z  
2022-11-23T01:32:37.0227579Z 
2022-11-23T01:32:37.0228014Z [2022-11-23 01:14:59,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2057
2022-11-23T01:32:37.0228370Z [2022-11-23 01:14:59,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.0228888Z [2022-11-23 01:14:59,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.0229318Z [2022-11-23 01:14:59,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:37.0229794Z [2022-11-23 01:14:59,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:37.0230333Z [2022-11-23 01:14:59,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0230946Z [2022-11-23 01:14:59,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0231453Z [2022-11-23 01:14:59,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.0232014Z [2022-11-23 01:14:59,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0232611Z [2022-11-23 01:14:59,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0233202Z [2022-11-23 01:14:59,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.0233806Z [2022-11-23 01:14:59,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0234498Z [2022-11-23 01:14:59,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0259572Z [2022-11-23 01:14:59,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.0260544Z [2022-11-23 01:14:59,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('divisor_override',) [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0261406Z [2022-11-23 01:14:59,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:37.0261871Z [2022-11-23 01:14:59,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0262475Z [2022-11-23 01:14:59,052] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f640f0c0, file "inductor/test_torchinductor.py", line 2056>
2022-11-23T01:32:37.0262914Z [2022-11-23 01:14:59,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0263333Z [2022-11-23 01:14:59,052] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.0263796Z [2022-11-23 01:14:59,054] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.0264234Z [2022-11-23 01:14:59,059] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.0264650Z [2022-11-23 01:14:59,060] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.0264891Z  __compiled_fn_30 <eval_with_key>.194 opcode, name, target, args, kwargs
2022-11-23T01:32:37.0265046Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.0265457Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [1, 1]), {'divisor_override': 3}
2022-11-23T01:32:37.0265640Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:37.0265652Z 
2022-11-23T01:32:37.0266142Z [2022-11-23 01:14:59,060] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0266299Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.0266457Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0266614Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.0266766Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.0266891Z               8 RETURN_VALUE
2022-11-23T01:32:37.0266900Z 
2022-11-23T01:32:37.0267006Z  
2022-11-23T01:32:37.0267517Z [2022-11-23 01:14:59,061] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0267685Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_30)
2022-11-23T01:32:37.0267835Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0267981Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0268110Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.0268258Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.0268412Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.0268706Z              12 RETURN_VALUE
2022-11-23T01:32:37.0268715Z 
2022-11-23T01:32:37.0268801Z  
2022-11-23T01:32:37.0269132Z [2022-11-23 01:14:59,063] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.0269245Z  - 
2022-11-23T01:32:37.0269443Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.0269553Z             {
2022-11-23T01:32:37.0269800Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.0270244Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.0270445Z                 'obj_weakref': None
2022-11-23T01:32:37.0270833Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.0270943Z             }
2022-11-23T01:32:37.0271051Z             
2022-11-23T01:32:37.0271167Z  - 
2022-11-23T01:32:37.0271378Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.0271486Z             {
2022-11-23T01:32:37.0271721Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0271909Z                 'code': None,
2022-11-23T01:32:37.0272273Z                 'obj_weakref': <weakref at 0x7f70f2ddc530; to 'Tensor' at 0x7f71c1358470>
2022-11-23T01:32:37.0272710Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0272815Z             }
2022-11-23T01:32:37.0272928Z             
2022-11-23T01:32:37.0273041Z  - 
2022-11-23T01:32:37.0273252Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.0273358Z             {
2022-11-23T01:32:37.0273586Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.0273887Z                 'code': ['___check_obj_id(model, 140123413979360)'],
2022-11-23T01:32:37.0274092Z                 'obj_weakref': None
2022-11-23T01:32:37.0274494Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.0274601Z             }
2022-11-23T01:32:37.0274684Z             
2022-11-23T01:32:37.0274794Z  - 
2022-11-23T01:32:37.0274984Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.0275081Z             {
2022-11-23T01:32:37.0275303Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.0275689Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.0275896Z                 'obj_weakref': None
2022-11-23T01:32:37.0276260Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.0276361Z             }
2022-11-23T01:32:37.0276470Z             
2022-11-23T01:32:37.0276585Z  - 
2022-11-23T01:32:37.0276813Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.0276918Z             {
2022-11-23T01:32:37.0277344Z                 'guard_types': None,
2022-11-23T01:32:37.0277516Z                 'code': None,
2022-11-23T01:32:37.0277714Z                 'obj_weakref': None
2022-11-23T01:32:37.0277926Z                 'guarded_class': None
2022-11-23T01:32:37.0278040Z             }
2022-11-23T01:32:37.0278144Z             
2022-11-23T01:32:37.0278612Z [2022-11-23 01:14:59,073] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 29
2022-11-23T01:32:37.0279295Z [2022-11-23 01:15:01,757] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ap/captziygdb4oj6lsis2727qp3hoklwf4n7ew4boypilbjikzwrpc.py
2022-11-23T01:32:37.0279768Z [2022-11-23 01:15:01,758] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 29
2022-11-23T01:32:37.0279793Z 
2022-11-23T01:32:37.0279940Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.0280060Z import torch
2022-11-23T01:32:37.0280178Z import random
2022-11-23T01:32:37.0280375Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.0280588Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.0280597Z 
2022-11-23T01:32:37.0280725Z aten = torch.ops.aten
2022-11-23T01:32:37.0280957Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.0281227Z async_compile = AsyncCompile()
2022-11-23T01:32:37.0281234Z 
2022-11-23T01:32:37.0281258Z 
2022-11-23T01:32:37.0281478Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.0281838Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.0282050Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.0282218Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.0282391Z {
2022-11-23T01:32:37.0282565Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.0282666Z     {
2022-11-23T01:32:37.0282787Z         #pragma omp for 
2022-11-23T01:32:37.0282925Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.0283032Z         {
2022-11-23T01:32:37.0283168Z             #pragma GCC ivdep
2022-11-23T01:32:37.0283303Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:37.0283414Z             {
2022-11-23T01:32:37.0283513Z                 {
2022-11-23T01:32:37.0283631Z                     {
2022-11-23T01:32:37.0283940Z                         auto tmp0 = static_cast<long>((-1) + (2*i0));
2022-11-23T01:32:37.0284115Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T01:32:37.0284276Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:32:37.0284455Z                         auto tmp3 = static_cast<long>(8);
2022-11-23T01:32:37.0284608Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T01:32:37.0284771Z                         auto tmp5 = tmp2 & tmp4;
2022-11-23T01:32:37.0285058Z                         auto tmp6 = static_cast<long>((-1) + (2*i1));
2022-11-23T01:32:37.0285212Z                         auto tmp7 = tmp6 >= tmp1;
2022-11-23T01:32:37.0285361Z                         auto tmp8 = tmp6 < tmp3;
2022-11-23T01:32:37.0285514Z                         auto tmp9 = tmp7 & tmp8;
2022-11-23T01:32:37.0285660Z                         auto tmp10 = tmp5 & tmp9;
2022-11-23T01:32:37.0285797Z                         float tmp11 = 0.0;
2022-11-23T01:32:37.0285933Z                         if(tmp10)
2022-11-23T01:32:37.0286030Z                         {
2022-11-23T01:32:37.0286331Z                             auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)];
2022-11-23T01:32:37.0286472Z                             tmp11 = tmp12;
2022-11-23T01:32:37.0286582Z                         }
2022-11-23T01:32:37.0286768Z                         auto tmp13 = static_cast<long>(2*i1);
2022-11-23T01:32:37.0286933Z                         auto tmp14 = tmp13 >= tmp1;
2022-11-23T01:32:37.0287089Z                         auto tmp15 = tmp13 < tmp3;
2022-11-23T01:32:37.0287237Z                         auto tmp16 = tmp14 & tmp15;
2022-11-23T01:32:37.0287393Z                         auto tmp17 = tmp5 & tmp16;
2022-11-23T01:32:37.0287539Z                         float tmp18 = 0.0;
2022-11-23T01:32:37.0287668Z                         if(tmp17)
2022-11-23T01:32:37.0287785Z                         {
2022-11-23T01:32:37.0288088Z                             auto tmp19 = in_ptr0[(-8) + (2*i1) + (16*i0)];
2022-11-23T01:32:37.0288220Z                             tmp18 = tmp19;
2022-11-23T01:32:37.0288321Z                         }
2022-11-23T01:32:37.0288483Z                         auto tmp20 = tmp18 + tmp11;
2022-11-23T01:32:37.0288665Z                         auto tmp21 = static_cast<long>(1 + (2*i1));
2022-11-23T01:32:37.0288823Z                         auto tmp22 = tmp21 >= tmp1;
2022-11-23T01:32:37.0288980Z                         auto tmp23 = tmp21 < tmp3;
2022-11-23T01:32:37.0289146Z                         auto tmp24 = tmp22 & tmp23;
2022-11-23T01:32:37.0289301Z                         auto tmp25 = tmp5 & tmp24;
2022-11-23T01:32:37.0289433Z                         float tmp26 = 0.0;
2022-11-23T01:32:37.0289563Z                         if(tmp25)
2022-11-23T01:32:37.0289679Z                         {
2022-11-23T01:32:37.0289988Z                             auto tmp27 = in_ptr0[(-7) + (2*i1) + (16*i0)];
2022-11-23T01:32:37.0290127Z                             tmp26 = tmp27;
2022-11-23T01:32:37.0290324Z                         }
2022-11-23T01:32:37.0290487Z                         auto tmp28 = tmp26 + tmp20;
2022-11-23T01:32:37.0290675Z                         auto tmp29 = static_cast<long>(2*i0);
2022-11-23T01:32:37.0290819Z                         auto tmp30 = tmp29 >= tmp1;
2022-11-23T01:32:37.0290977Z                         auto tmp31 = tmp29 < tmp3;
2022-11-23T01:32:37.0291132Z                         auto tmp32 = tmp30 & tmp31;
2022-11-23T01:32:37.0291353Z                         auto tmp33 = tmp32 & tmp9;
2022-11-23T01:32:37.0291502Z                         float tmp34 = 0.0;
2022-11-23T01:32:37.0291628Z                         if(tmp33)
2022-11-23T01:32:37.0291742Z                         {
2022-11-23T01:32:37.0292045Z                             auto tmp35 = in_ptr0[(-1) + (2*i1) + (16*i0)];
2022-11-23T01:32:37.0292185Z                             tmp34 = tmp35;
2022-11-23T01:32:37.0292302Z                         }
2022-11-23T01:32:37.0292464Z                         auto tmp36 = tmp34 + tmp28;
2022-11-23T01:32:37.0292628Z                         auto tmp37 = tmp32 & tmp16;
2022-11-23T01:32:37.0292778Z                         float tmp38 = 0.0;
2022-11-23T01:32:37.0292908Z                         if(tmp37)
2022-11-23T01:32:37.0293011Z                         {
2022-11-23T01:32:37.0293188Z                             auto tmp39 = in_ptr0[(2*i1) + (16*i0)];
2022-11-23T01:32:37.0293323Z                             tmp38 = tmp39;
2022-11-23T01:32:37.0314223Z                         }
2022-11-23T01:32:37.0314459Z                         auto tmp40 = tmp38 + tmp36;
2022-11-23T01:32:37.0314615Z                         auto tmp41 = tmp32 & tmp24;
2022-11-23T01:32:37.0314760Z                         float tmp42 = 0.0;
2022-11-23T01:32:37.0314875Z                         if(tmp41)
2022-11-23T01:32:37.0314988Z                         {
2022-11-23T01:32:37.0315171Z                             auto tmp43 = in_ptr0[1 + (2*i1) + (16*i0)];
2022-11-23T01:32:37.0315309Z                             tmp42 = tmp43;
2022-11-23T01:32:37.0315423Z                         }
2022-11-23T01:32:37.0315579Z                         auto tmp44 = tmp42 + tmp40;
2022-11-23T01:32:37.0315765Z                         auto tmp45 = static_cast<long>(1 + (2*i0));
2022-11-23T01:32:37.0315913Z                         auto tmp46 = tmp45 >= tmp1;
2022-11-23T01:32:37.0316065Z                         auto tmp47 = tmp45 < tmp3;
2022-11-23T01:32:37.0316218Z                         auto tmp48 = tmp46 & tmp47;
2022-11-23T01:32:37.0316376Z                         auto tmp49 = tmp48 & tmp9;
2022-11-23T01:32:37.0316517Z                         float tmp50 = 0.0;
2022-11-23T01:32:37.0316643Z                         if(tmp49)
2022-11-23T01:32:37.0316755Z                         {
2022-11-23T01:32:37.0316925Z                             auto tmp51 = in_ptr0[7 + (2*i1) + (16*i0)];
2022-11-23T01:32:37.0317059Z                             tmp50 = tmp51;
2022-11-23T01:32:37.0317373Z                         }
2022-11-23T01:32:37.0317544Z                         auto tmp52 = tmp50 + tmp44;
2022-11-23T01:32:37.0317701Z                         auto tmp53 = tmp48 & tmp16;
2022-11-23T01:32:37.0317842Z                         float tmp54 = 0.0;
2022-11-23T01:32:37.0317966Z                         if(tmp53)
2022-11-23T01:32:37.0318065Z                         {
2022-11-23T01:32:37.0318243Z                             auto tmp55 = in_ptr0[8 + (2*i1) + (16*i0)];
2022-11-23T01:32:37.0318375Z                             tmp54 = tmp55;
2022-11-23T01:32:37.0318492Z                         }
2022-11-23T01:32:37.0318648Z                         auto tmp56 = tmp54 + tmp52;
2022-11-23T01:32:37.0318800Z                         auto tmp57 = tmp48 & tmp24;
2022-11-23T01:32:37.0318940Z                         float tmp58 = 0.0;
2022-11-23T01:32:37.0319062Z                         if(tmp57)
2022-11-23T01:32:37.0319160Z                         {
2022-11-23T01:32:37.0319328Z                             auto tmp59 = in_ptr0[9 + (2*i1) + (16*i0)];
2022-11-23T01:32:37.0319581Z                             tmp58 = tmp59;
2022-11-23T01:32:37.0319668Z                         }
2022-11-23T01:32:37.0319794Z                         auto tmp60 = tmp58 + tmp56;
2022-11-23T01:32:37.0319953Z                         auto tmp61 = static_cast<float>(0.3333333333333333);
2022-11-23T01:32:37.0320117Z                         auto tmp62 = tmp60 * tmp61;
2022-11-23T01:32:37.0320234Z                         out_ptr0[i1 + (4*i0)] = tmp62;
2022-11-23T01:32:37.0320388Z                     }
2022-11-23T01:32:37.0320452Z                 }
2022-11-23T01:32:37.0320511Z             }
2022-11-23T01:32:37.0320567Z         }
2022-11-23T01:32:37.0320623Z     }
2022-11-23T01:32:37.0320671Z }
2022-11-23T01:32:37.0320782Z ''')
2022-11-23T01:32:37.0320789Z 
2022-11-23T01:32:37.0320794Z 
2022-11-23T01:32:37.0320885Z async_compile.wait(globals())
2022-11-23T01:32:37.0320955Z del async_compile
2022-11-23T01:32:37.0320960Z 
2022-11-23T01:32:37.0321025Z def call(args):
2022-11-23T01:32:37.0321088Z     arg0_1, = args
2022-11-23T01:32:37.0321158Z     args.clear()
2022-11-23T01:32:37.0321369Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0321492Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.0321555Z     del arg0_1
2022-11-23T01:32:37.0321619Z     return (buf0, )
2022-11-23T01:32:37.0321624Z 
2022-11-23T01:32:37.0321628Z 
2022-11-23T01:32:37.0321697Z if __name__ == "__main__":
2022-11-23T01:32:37.0321807Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.0321925Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.0322132Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0322237Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.0322242Z 
2022-11-23T01:32:37.0322295Z ok (2.740s)
2022-11-23T01:32:37.0322606Z   test_avg_pool2d7_cpu (__main__.CpuTests) ... [2022-11-23 01:15:01,771] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.0322877Z [2022-11-23 01:15:01,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.0323089Z [2022-11-23 01:15:01,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.0323336Z [2022-11-23 01:15:01,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.0323619Z [2022-11-23 01:15:01,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.0323940Z [2022-11-23 01:15:01,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.0324263Z [2022-11-23 01:15:01,772] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f640f1e0, file "inductor/test_torchinductor.py", line 2066> 
2022-11-23T01:32:37.0324355Z  2067           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.0324444Z                2 LOAD_METHOD              1 (avg_pool2d)
2022-11-23T01:32:37.0324528Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.0324613Z                6 LOAD_CONST               1 (13)
2022-11-23T01:32:37.0324697Z                8 LOAD_CONST               1 (13)
2022-11-23T01:32:37.0324780Z               10 BUILD_LIST               2
2022-11-23T01:32:37.0324866Z               12 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0324952Z               14 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0325025Z               16 BUILD_LIST               2
2022-11-23T01:32:37.0325106Z               18 LOAD_CONST               3 (0)
2022-11-23T01:32:37.0325187Z               20 LOAD_CONST               3 (0)
2022-11-23T01:32:37.0325266Z               22 BUILD_LIST               2
2022-11-23T01:32:37.0325347Z               24 CALL_METHOD              4
2022-11-23T01:32:37.0325450Z               26 RETURN_VALUE
2022-11-23T01:32:37.0325506Z  
2022-11-23T01:32:37.0325511Z 
2022-11-23T01:32:37.0325777Z [2022-11-23 01:15:01,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2067
2022-11-23T01:32:37.0325981Z [2022-11-23 01:15:01,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.0326326Z [2022-11-23 01:15:01,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.0326581Z [2022-11-23 01:15:01,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)]
2022-11-23T01:32:37.0326864Z [2022-11-23 01:15:01,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d), TensorVariable()]
2022-11-23T01:32:37.0327186Z [2022-11-23 01:15:01,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0327545Z [2022-11-23 01:15:01,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0327850Z [2022-11-23 01:15:01,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.0328193Z [2022-11-23 01:15:01,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0328576Z [2022-11-23 01:15:01,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0328906Z [2022-11-23 01:15:01,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.0329274Z [2022-11-23 01:15:01,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0329682Z [2022-11-23 01:15:01,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0330037Z [2022-11-23 01:15:01,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.0330279Z [2022-11-23 01:15:01,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0330598Z [2022-11-23 01:15:01,792] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f640f1e0, file "inductor/test_torchinductor.py", line 2066>
2022-11-23T01:32:37.0330841Z [2022-11-23 01:15:01,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0331070Z [2022-11-23 01:15:01,793] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.0331320Z [2022-11-23 01:15:01,794] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.0331563Z [2022-11-23 01:15:01,800] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.0331747Z [2022-11-23 01:15:01,800] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.0331876Z  __compiled_fn_31 <eval_with_key>.200 opcode, name, target, args, kwargs
2022-11-23T01:32:37.0331952Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.0332080Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [13, 13], [1, 1], [0, 0]), {}
2022-11-23T01:32:37.0332180Z output, output, output, ((avg_pool2d,),), {}
2022-11-23T01:32:37.0332215Z 
2022-11-23T01:32:37.0332484Z [2022-11-23 01:15:01,801] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0332571Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.0332656Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0332742Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.0332825Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.0332935Z               8 RETURN_VALUE
2022-11-23T01:32:37.0332941Z 
2022-11-23T01:32:37.0332999Z  
2022-11-23T01:32:37.0333267Z [2022-11-23 01:15:01,801] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0333369Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_31)
2022-11-23T01:32:37.0333454Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0333542Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0333614Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.0333698Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.0333776Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.0333844Z              12 RETURN_VALUE
2022-11-23T01:32:37.0333848Z 
2022-11-23T01:32:37.0333901Z  
2022-11-23T01:32:37.0334078Z [2022-11-23 01:15:01,803] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.0334143Z  - 
2022-11-23T01:32:37.0334255Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.0334317Z             {
2022-11-23T01:32:37.0334447Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.0334628Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.0334742Z                 'obj_weakref': None
2022-11-23T01:32:37.0334960Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.0335024Z             }
2022-11-23T01:32:37.0335080Z             
2022-11-23T01:32:37.0335146Z  - 
2022-11-23T01:32:37.0335257Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.0335315Z             {
2022-11-23T01:32:37.0335450Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0335551Z                 'code': None,
2022-11-23T01:32:37.0335754Z                 'obj_weakref': <weakref at 0x7f70f2d6ea70; to 'Tensor' at 0x7f70f2d6efb0>
2022-11-23T01:32:37.0336001Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0336059Z             }
2022-11-23T01:32:37.0336109Z             
2022-11-23T01:32:37.0336170Z  - 
2022-11-23T01:32:37.0336295Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.0336353Z             {
2022-11-23T01:32:37.0336478Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.0336641Z                 'code': ['___check_obj_id(model, 140126569038912)'],
2022-11-23T01:32:37.0336752Z                 'obj_weakref': None
2022-11-23T01:32:37.0336966Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.0337027Z             }
2022-11-23T01:32:37.0337084Z             
2022-11-23T01:32:37.0337148Z  - 
2022-11-23T01:32:37.0337262Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.0337320Z             {
2022-11-23T01:32:37.0337447Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.0337667Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.0337789Z                 'obj_weakref': None
2022-11-23T01:32:37.0338009Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.0338060Z             }
2022-11-23T01:32:37.0338125Z             
2022-11-23T01:32:37.0338194Z  - 
2022-11-23T01:32:37.0338326Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.0338390Z             {
2022-11-23T01:32:37.0338510Z                 'guard_types': None,
2022-11-23T01:32:37.0338650Z                 'code': None,
2022-11-23T01:32:37.0338755Z                 'obj_weakref': None
2022-11-23T01:32:37.0338875Z                 'guarded_class': None
2022-11-23T01:32:37.0338938Z             }
2022-11-23T01:32:37.0339001Z             
2022-11-23T01:32:37.0339260Z [2022-11-23 01:15:01,816] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 30
2022-11-23T01:32:37.0339522Z [2022-11-23 01:15:01,821] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.avg_pool2d
2022-11-23T01:32:37.0339892Z [2022-11-23 01:15:01,827] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oo/coo2kvp2yli52xzhpsykr6iii2r6x3qgu2yq2ovdi2n3fzfirbs5.py
2022-11-23T01:32:37.0340154Z [2022-11-23 01:15:01,827] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 30
2022-11-23T01:32:37.0340160Z 
2022-11-23T01:32:37.0340241Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.0340310Z import torch
2022-11-23T01:32:37.0340377Z import random
2022-11-23T01:32:37.0340494Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.0340613Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.0340619Z 
2022-11-23T01:32:37.0340697Z aten = torch.ops.aten
2022-11-23T01:32:37.0340832Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.0340910Z async_compile = AsyncCompile()
2022-11-23T01:32:37.0340927Z 
2022-11-23T01:32:37.0340931Z 
2022-11-23T01:32:37.0341008Z async_compile.wait(globals())
2022-11-23T01:32:37.0341080Z del async_compile
2022-11-23T01:32:37.0341085Z 
2022-11-23T01:32:37.0341155Z def call(args):
2022-11-23T01:32:37.0341223Z     arg0_1, = args
2022-11-23T01:32:37.0341295Z     args.clear()
2022-11-23T01:32:37.0341421Z     buf0 = aten.avg_pool2d(arg0_1, [13, 13], [1, 1], [0, 0], False, True, None)
2022-11-23T01:32:37.0341489Z     del arg0_1
2022-11-23T01:32:37.0341544Z     buf1 = buf0
2022-11-23T01:32:37.0341653Z     assert_size_stride(buf1, (1, 1, 12, 12), (144, 144, 12, 1))
2022-11-23T01:32:37.0341720Z     del buf0
2022-11-23T01:32:37.0341790Z     return (buf1, )
2022-11-23T01:32:37.0341795Z 
2022-11-23T01:32:37.0341799Z 
2022-11-23T01:32:37.0341874Z if __name__ == "__main__":
2022-11-23T01:32:37.0341985Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.0342108Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.0342326Z     arg0_1 = rand_strided((1, 1, 24, 24), (576, 576, 24, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0342423Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.0342428Z 
2022-11-23T01:32:37.0342494Z ok (0.068s)
2022-11-23T01:32:37.0342820Z   test_avg_pool2d_backward2_cpu (__main__.CpuTests) ... [2022-11-23 01:15:01,840] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.0343085Z [2022-11-23 01:15:01,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.0343301Z [2022-11-23 01:15:01,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.0343555Z [2022-11-23 01:15:01,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.0343839Z [2022-11-23 01:15:01,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.0344163Z [2022-11-23 01:15:01,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.0344573Z [2022-11-23 01:15:01,841] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f63c6150, file "inductor/test_torchinductor.py", line 4057> 
2022-11-23T01:32:37.0344661Z  4058           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.0344774Z                2 LOAD_METHOD              1 (avg_pool2d_backward)
2022-11-23T01:32:37.0344780Z 
2022-11-23T01:32:37.0344870Z 4059           4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0344910Z 
2022-11-23T01:32:37.0345000Z 4060           6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0345005Z 
2022-11-23T01:32:37.0345094Z 4061           8 LOAD_CONST               1 (3)
2022-11-23T01:32:37.0345182Z               10 LOAD_CONST               1 (3)
2022-11-23T01:32:37.0345272Z               12 BUILD_LIST               2
2022-11-23T01:32:37.0345277Z 
2022-11-23T01:32:37.0345424Z 4062          14 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0345537Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0345611Z               18 BUILD_LIST               2
2022-11-23T01:32:37.0345615Z 
2022-11-23T01:32:37.0345701Z 4063          20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0345784Z               22 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0345873Z               24 BUILD_LIST               2
2022-11-23T01:32:37.0345878Z 
2022-11-23T01:32:37.0345969Z 4064          26 LOAD_CONST               3 (True)
2022-11-23T01:32:37.0345976Z 
2022-11-23T01:32:37.0346065Z 4065          28 LOAD_CONST               4 (False)
2022-11-23T01:32:37.0346070Z 
2022-11-23T01:32:37.0346159Z 4066          30 LOAD_CONST               0 (None)
2022-11-23T01:32:37.0346246Z               32 CALL_METHOD              8
2022-11-23T01:32:37.0346308Z               34 RETURN_VALUE
2022-11-23T01:32:37.0346367Z  
2022-11-23T01:32:37.0346372Z 
2022-11-23T01:32:37.0346647Z [2022-11-23 01:15:01,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4058
2022-11-23T01:32:37.0346862Z [2022-11-23 01:15:01,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.0347192Z [2022-11-23 01:15:01,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.0347459Z [2022-11-23 01:15:01,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4059
2022-11-23T01:32:37.0347732Z [2022-11-23 01:15:01,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)]
2022-11-23T01:32:37.0347994Z [2022-11-23 01:15:01,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4060
2022-11-23T01:32:37.0348293Z [2022-11-23 01:15:01,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()]
2022-11-23T01:32:37.0348542Z [2022-11-23 01:15:01,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4061
2022-11-23T01:32:37.0348872Z [2022-11-23 01:15:01,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0349242Z [2022-11-23 01:15:01,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0349649Z [2022-11-23 01:15:01,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0349915Z [2022-11-23 01:15:01,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4062
2022-11-23T01:32:37.0350267Z [2022-11-23 01:15:01,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.0350655Z [2022-11-23 01:15:01,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0351080Z [2022-11-23 01:15:01,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0351378Z [2022-11-23 01:15:01,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4063
2022-11-23T01:32:37.0351753Z [2022-11-23 01:15:01,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.0352227Z [2022-11-23 01:15:01,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0352682Z [2022-11-23 01:15:01,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0352943Z [2022-11-23 01:15:01,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4064
2022-11-23T01:32:37.0353357Z [2022-11-23 01:15:01,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.0353603Z [2022-11-23 01:15:01,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4065
2022-11-23T01:32:37.0354051Z [2022-11-23 01:15:01,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.0354317Z [2022-11-23 01:15:01,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4066
2022-11-23T01:32:37.0354803Z [2022-11-23 01:15:01,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:37.0355337Z [2022-11-23 01:15:01,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:32:37.0355589Z [2022-11-23 01:15:01,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0355918Z [2022-11-23 01:15:01,862] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f63c6150, file "inductor/test_torchinductor.py", line 4057>
2022-11-23T01:32:37.0356160Z [2022-11-23 01:15:01,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0356396Z [2022-11-23 01:15:01,863] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.0356656Z [2022-11-23 01:15:01,864] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.0356904Z [2022-11-23 01:15:01,873] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.0357079Z [2022-11-23 01:15:01,873] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.0357383Z  __compiled_fn_32 <eval_with_key>.206 opcode, name, target, args, kwargs
2022-11-23T01:32:37.0357477Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.0357565Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.0357745Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [3, 3], [1, 1], [1, 1], True, False, None), {}
2022-11-23T01:32:37.0357863Z output, output, output, ((avg_pool2d_backward,),), {}
2022-11-23T01:32:37.0357870Z 
2022-11-23T01:32:37.0358150Z [2022-11-23 01:15:01,874] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0358314Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.0358410Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0358490Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.0358582Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.0358659Z               8 RETURN_VALUE
2022-11-23T01:32:37.0358665Z 
2022-11-23T01:32:37.0358728Z  
2022-11-23T01:32:37.0359042Z [2022-11-23 01:15:01,874] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0359152Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_32)
2022-11-23T01:32:37.0359245Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0359321Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0359398Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.0359488Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0359581Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0359658Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.0359749Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.0359840Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.0359903Z              18 RETURN_VALUE
2022-11-23T01:32:37.0359922Z 
2022-11-23T01:32:37.0359970Z  
2022-11-23T01:32:37.0360151Z [2022-11-23 01:15:01,876] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.0360224Z  - 
2022-11-23T01:32:37.0360341Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.0360405Z             {
2022-11-23T01:32:37.0360545Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.0360717Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.0360836Z                 'obj_weakref': None
2022-11-23T01:32:37.0361056Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.0361124Z             }
2022-11-23T01:32:37.0361190Z             
2022-11-23T01:32:37.0361260Z  - 
2022-11-23T01:32:37.0361385Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.0361436Z             {
2022-11-23T01:32:37.0361579Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0361686Z                 'code': None,
2022-11-23T01:32:37.0361894Z                 'obj_weakref': <weakref at 0x7f70f2906650; to 'Tensor' at 0x7f70f2916590>
2022-11-23T01:32:37.0362149Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0362213Z             }
2022-11-23T01:32:37.0362277Z             
2022-11-23T01:32:37.0362331Z  - 
2022-11-23T01:32:37.0362451Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.0362513Z             {
2022-11-23T01:32:37.0362652Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0362759Z                 'code': None,
2022-11-23T01:32:37.0362964Z                 'obj_weakref': <weakref at 0x7f70f2906770; to 'Tensor' at 0x7f70f2916110>
2022-11-23T01:32:37.0363214Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0363278Z             }
2022-11-23T01:32:37.0363329Z             
2022-11-23T01:32:37.0363397Z  - 
2022-11-23T01:32:37.0363526Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.0363590Z             {
2022-11-23T01:32:37.0363725Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.0363892Z                 'code': ['___check_obj_id(model, 140126569039488)'],
2022-11-23T01:32:37.0363998Z                 'obj_weakref': None
2022-11-23T01:32:37.0364222Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.0364284Z             }
2022-11-23T01:32:37.0364345Z             
2022-11-23T01:32:37.0364413Z  - 
2022-11-23T01:32:37.0364534Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.0364597Z             {
2022-11-23T01:32:37.0364749Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.0364965Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.0365083Z                 'obj_weakref': None
2022-11-23T01:32:37.0365299Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.0365361Z             }
2022-11-23T01:32:37.0365424Z             
2022-11-23T01:32:37.0365518Z  - 
2022-11-23T01:32:37.0365638Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.0365700Z             {
2022-11-23T01:32:37.0365817Z                 'guard_types': None,
2022-11-23T01:32:37.0365922Z                 'code': None,
2022-11-23T01:32:37.0366039Z                 'obj_weakref': None
2022-11-23T01:32:37.0366159Z                 'guarded_class': None
2022-11-23T01:32:37.0366225Z             }
2022-11-23T01:32:37.0366276Z             
2022-11-23T01:32:37.0366532Z [2022-11-23 01:15:01,886] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 31
2022-11-23T01:32:37.0366540Z 
2022-11-23T01:32:37.0366632Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.0366700Z import torch
2022-11-23T01:32:37.0366768Z import random
2022-11-23T01:32:37.0366881Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.0367008Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.0367013Z 
2022-11-23T01:32:37.0367092Z aten = torch.ops.aten
2022-11-23T01:32:37.0367212Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.0367303Z async_compile = AsyncCompile()
2022-11-23T01:32:37.0367308Z 
2022-11-23T01:32:37.0367312Z 
2022-11-23T01:32:37.0367444Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.0367648Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.0367765Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.0367866Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.0367928Z {
2022-11-23T01:32:37.0368013Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.0368075Z     {
2022-11-23T01:32:37.0368153Z         #pragma omp for 
2022-11-23T01:32:37.0368233Z         for(long i0=0; i0<20; i0+=1)
2022-11-23T01:32:37.0368296Z         {
2022-11-23T01:32:37.0368375Z             #pragma GCC ivdep
2022-11-23T01:32:37.0368460Z             for(long i1=0; i1<15; i1+=1)
2022-11-23T01:32:37.0368512Z             {
2022-11-23T01:32:37.0368575Z                 {
2022-11-23T01:32:37.0368641Z                     {
2022-11-23T01:32:37.0368805Z                         auto tmp0 = static_cast<int>((-1) + i0);
2022-11-23T01:32:37.0368968Z                         auto tmp1 = static_cast<int>((-1) + i1);
2022-11-23T01:32:37.0369076Z                         auto tmp2 = static_cast<int>(2 + i0);
2022-11-23T01:32:37.0369181Z                         auto tmp3 = static_cast<int>(2 + i1);
2022-11-23T01:32:37.0369273Z                         auto tmp4 = static_cast<int>(0);
2022-11-23T01:32:37.0369397Z                         auto tmp5 = std::max(tmp0, tmp4);
2022-11-23T01:32:37.0369506Z                         auto tmp6 = std::max(tmp1, tmp4);
2022-11-23T01:32:37.0369606Z                         auto tmp7 = static_cast<int>(20);
2022-11-23T01:32:37.0369756Z                         auto tmp8 = std::min(tmp2, tmp7);
2022-11-23T01:32:37.0369856Z                         auto tmp9 = static_cast<int>(15);
2022-11-23T01:32:37.0369964Z                         auto tmp10 = std::min(tmp3, tmp9);
2022-11-23T01:32:37.0370057Z                         auto tmp11 = tmp5 + tmp4;
2022-11-23T01:32:37.0370137Z                         auto tmp12 = tmp6 + tmp4;
2022-11-23T01:32:37.0370236Z                         auto tmp13 = static_cast<int>(1);
2022-11-23T01:32:37.0370346Z                         auto tmp14 = static_cast<int>(3);
2022-11-23T01:32:37.0370440Z                         auto tmp15 = tmp11 * tmp13;
2022-11-23T01:32:37.0370613Z                         auto tmp16 = tmp15 - tmp13;
2022-11-23T01:32:37.0370704Z                         auto tmp17 = tmp12 * tmp13;
2022-11-23T01:32:37.0370844Z                         auto tmp18 = tmp17 - tmp13;
2022-11-23T01:32:37.0370924Z                         auto tmp19 = tmp16 + tmp14;
2022-11-23T01:32:37.0371015Z                         auto tmp20 = tmp7 + tmp13;
2022-11-23T01:32:37.0371124Z                         auto tmp21 = std::min(tmp19, tmp20);
2022-11-23T01:32:37.0371246Z                         auto tmp22 = tmp18 + tmp14;
2022-11-23T01:32:37.0371339Z                         auto tmp23 = tmp9 + tmp13;
2022-11-23T01:32:37.0371444Z                         auto tmp24 = std::min(tmp22, tmp23);
2022-11-23T01:32:37.0371551Z                         auto tmp25 = std::max(tmp16, tmp4);
2022-11-23T01:32:37.0371657Z                         auto tmp26 = std::max(tmp18, tmp4);
2022-11-23T01:32:37.0371752Z                         auto tmp27 = std::min(tmp21, tmp7);
2022-11-23T01:32:37.0371855Z                         auto tmp28 = std::min(tmp24, tmp9);
2022-11-23T01:32:37.0372002Z                         auto tmp29 = tmp27 - tmp25;
2022-11-23T01:32:37.0372141Z                         auto tmp30 = tmp28 - tmp26;
2022-11-23T01:32:37.0372233Z                         auto tmp31 = tmp29 * tmp30;
2022-11-23T01:32:37.0372371Z                         auto tmp32 = tmp8 - tmp13;
2022-11-23T01:32:37.0372477Z                         auto tmp33 = std::min(tmp11, tmp32);
2022-11-23T01:32:37.0372621Z                         auto tmp34 = tmp10 - tmp13;
2022-11-23T01:32:37.0372715Z                         auto tmp35 = std::min(tmp12, tmp34);
2022-11-23T01:32:37.0372825Z                         auto tmp36 = in_ptr0[tmp35 + (15*tmp33)];
2022-11-23T01:32:37.0372916Z                         auto tmp37 = tmp36 / tmp31;
2022-11-23T01:32:37.0373007Z                         auto tmp38 = tmp11 < tmp8;
2022-11-23T01:32:37.0373097Z                         auto tmp39 = tmp12 < tmp10;
2022-11-23T01:32:37.0373185Z                         auto tmp40 = tmp38 & tmp39;
2022-11-23T01:32:37.0373295Z                         auto tmp41 = static_cast<float>(0.0);
2022-11-23T01:32:37.0373385Z                         auto tmp42 = tmp40 ? tmp37 : tmp41;
2022-11-23T01:32:37.0373478Z                         auto tmp43 = tmp6 + tmp13;
2022-11-23T01:32:37.0373568Z                         auto tmp44 = tmp43 * tmp13;
2022-11-23T01:32:37.0373705Z                         auto tmp45 = tmp44 - tmp13;
2022-11-23T01:32:37.0373796Z                         auto tmp46 = tmp45 + tmp14;
2022-11-23T01:32:37.0373900Z                         auto tmp47 = std::min(tmp46, tmp23);
2022-11-23T01:32:37.0374004Z                         auto tmp48 = std::max(tmp45, tmp4);
2022-11-23T01:32:37.0374107Z                         auto tmp49 = std::min(tmp47, tmp9);
2022-11-23T01:32:37.0374233Z                         auto tmp50 = tmp49 - tmp48;
2022-11-23T01:32:37.0374325Z                         auto tmp51 = tmp29 * tmp50;
2022-11-23T01:32:37.0374432Z                         auto tmp52 = std::min(tmp43, tmp34);
2022-11-23T01:32:37.0374542Z                         auto tmp53 = in_ptr0[tmp52 + (15*tmp33)];
2022-11-23T01:32:37.0374638Z                         auto tmp54 = tmp53 / tmp51;
2022-11-23T01:32:37.0374729Z                         auto tmp55 = tmp43 < tmp10;
2022-11-23T01:32:37.0374821Z                         auto tmp56 = tmp38 & tmp55;
2022-11-23T01:32:37.0374897Z                         auto tmp57 = tmp42 + tmp54;
2022-11-23T01:32:37.0375002Z                         auto tmp58 = tmp56 ? tmp57 : tmp42;
2022-11-23T01:32:37.0375106Z                         auto tmp59 = static_cast<int>(2);
2022-11-23T01:32:37.0375198Z                         auto tmp60 = tmp6 + tmp59;
2022-11-23T01:32:37.0375290Z                         auto tmp61 = tmp60 * tmp13;
2022-11-23T01:32:37.0375430Z                         auto tmp62 = tmp61 - tmp13;
2022-11-23T01:32:37.0375522Z                         auto tmp63 = tmp62 + tmp14;
2022-11-23T01:32:37.0375628Z                         auto tmp64 = std::min(tmp63, tmp23);
2022-11-23T01:32:37.0375768Z                         auto tmp65 = std::max(tmp62, tmp4);
2022-11-23T01:32:37.0375873Z                         auto tmp66 = std::min(tmp64, tmp9);
2022-11-23T01:32:37.0376014Z                         auto tmp67 = tmp66 - tmp65;
2022-11-23T01:32:37.0376104Z                         auto tmp68 = tmp29 * tmp67;
2022-11-23T01:32:37.0376210Z                         auto tmp69 = std::min(tmp60, tmp34);
2022-11-23T01:32:37.0376362Z                         auto tmp70 = in_ptr0[tmp69 + (15*tmp33)];
2022-11-23T01:32:37.0376457Z                         auto tmp71 = tmp70 / tmp68;
2022-11-23T01:32:37.0376548Z                         auto tmp72 = tmp60 < tmp10;
2022-11-23T01:32:37.0376625Z                         auto tmp73 = tmp38 & tmp72;
2022-11-23T01:32:37.0376716Z                         auto tmp74 = tmp58 + tmp71;
2022-11-23T01:32:37.0376817Z                         auto tmp75 = tmp73 ? tmp74 : tmp58;
2022-11-23T01:32:37.0376912Z                         auto tmp76 = tmp5 + tmp13;
2022-11-23T01:32:37.0377006Z                         auto tmp77 = tmp76 * tmp13;
2022-11-23T01:32:37.0377146Z                         auto tmp78 = tmp77 - tmp13;
2022-11-23T01:32:37.0377237Z                         auto tmp79 = tmp78 + tmp14;
2022-11-23T01:32:37.0377331Z                         auto tmp80 = std::min(tmp79, tmp20);
2022-11-23T01:32:37.0377438Z                         auto tmp81 = std::max(tmp78, tmp4);
2022-11-23T01:32:37.0377544Z                         auto tmp82 = std::min(tmp80, tmp7);
2022-11-23T01:32:37.0377684Z                         auto tmp83 = tmp82 - tmp81;
2022-11-23T01:32:37.0377775Z                         auto tmp84 = tmp83 * tmp30;
2022-11-23T01:32:37.0377881Z                         auto tmp85 = std::min(tmp76, tmp32);
2022-11-23T01:32:37.0377993Z                         auto tmp86 = in_ptr0[tmp35 + (15*tmp85)];
2022-11-23T01:32:37.0378086Z                         auto tmp87 = tmp86 / tmp84;
2022-11-23T01:32:37.0378166Z                         auto tmp88 = tmp76 < tmp8;
2022-11-23T01:32:37.0378258Z                         auto tmp89 = tmp88 & tmp39;
2022-11-23T01:32:37.0378352Z                         auto tmp90 = tmp75 + tmp87;
2022-11-23T01:32:37.0378454Z                         auto tmp91 = tmp89 ? tmp90 : tmp75;
2022-11-23T01:32:37.0378545Z                         auto tmp92 = tmp83 * tmp50;
2022-11-23T01:32:37.0378653Z                         auto tmp93 = in_ptr0[tmp52 + (15*tmp85)];
2022-11-23T01:32:37.0378744Z                         auto tmp94 = tmp93 / tmp92;
2022-11-23T01:32:37.0378823Z                         auto tmp95 = tmp88 & tmp55;
2022-11-23T01:32:37.0378914Z                         auto tmp96 = tmp91 + tmp94;
2022-11-23T01:32:37.0379013Z                         auto tmp97 = tmp95 ? tmp96 : tmp91;
2022-11-23T01:32:37.0379105Z                         auto tmp98 = tmp83 * tmp67;
2022-11-23T01:32:37.0379212Z                         auto tmp99 = in_ptr0[tmp69 + (15*tmp85)];
2022-11-23T01:32:37.0379308Z                         auto tmp100 = tmp99 / tmp98;
2022-11-23T01:32:37.0379405Z                         auto tmp101 = tmp88 & tmp72;
2022-11-23T01:32:37.0379500Z                         auto tmp102 = tmp97 + tmp100;
2022-11-23T01:32:37.0379592Z                         auto tmp103 = tmp101 ? tmp102 : tmp97;
2022-11-23T01:32:37.0379684Z                         auto tmp104 = tmp5 + tmp59;
2022-11-23T01:32:37.0379780Z                         auto tmp105 = tmp104 * tmp13;
2022-11-23T01:32:37.0379927Z                         auto tmp106 = tmp105 - tmp13;
2022-11-23T01:32:37.0380023Z                         auto tmp107 = tmp106 + tmp14;
2022-11-23T01:32:37.0380131Z                         auto tmp108 = std::min(tmp107, tmp20);
2022-11-23T01:32:37.0380238Z                         auto tmp109 = std::max(tmp106, tmp4);
2022-11-23T01:32:37.0380332Z                         auto tmp110 = std::min(tmp108, tmp7);
2022-11-23T01:32:37.0380483Z                         auto tmp111 = tmp110 - tmp109;
2022-11-23T01:32:37.0380576Z                         auto tmp112 = tmp111 * tmp30;
2022-11-23T01:32:37.0380714Z                         auto tmp113 = std::min(tmp104, tmp32);
2022-11-23T01:32:37.0380823Z                         auto tmp114 = in_ptr0[tmp35 + (15*tmp113)];
2022-11-23T01:32:37.0380919Z                         auto tmp115 = tmp114 / tmp112;
2022-11-23T01:32:37.0381012Z                         auto tmp116 = tmp104 < tmp8;
2022-11-23T01:32:37.0381106Z                         auto tmp117 = tmp116 & tmp39;
2022-11-23T01:32:37.0381216Z                         auto tmp118 = tmp103 + tmp115;
2022-11-23T01:32:37.0381321Z                         auto tmp119 = tmp117 ? tmp118 : tmp103;
2022-11-23T01:32:37.0381414Z                         auto tmp120 = tmp111 * tmp50;
2022-11-23T01:32:37.0381522Z                         auto tmp121 = in_ptr0[tmp52 + (15*tmp113)];
2022-11-23T01:32:37.0381617Z                         auto tmp122 = tmp121 / tmp120;
2022-11-23T01:32:37.0381708Z                         auto tmp123 = tmp116 & tmp55;
2022-11-23T01:32:37.0381801Z                         auto tmp124 = tmp119 + tmp122;
2022-11-23T01:32:37.0381893Z                         auto tmp125 = tmp123 ? tmp124 : tmp119;
2022-11-23T01:32:37.0381985Z                         auto tmp126 = tmp111 * tmp67;
2022-11-23T01:32:37.0382093Z                         auto tmp127 = in_ptr0[tmp69 + (15*tmp113)];
2022-11-23T01:32:37.0382186Z                         auto tmp128 = tmp127 / tmp126;
2022-11-23T01:32:37.0382276Z                         auto tmp129 = tmp116 & tmp72;
2022-11-23T01:32:37.0382370Z                         auto tmp130 = tmp125 + tmp128;
2022-11-23T01:32:37.0382472Z                         auto tmp131 = tmp129 ? tmp130 : tmp125;
2022-11-23T01:32:37.0382566Z                         out_ptr0[i1 + (15*i0)] = tmp131;
2022-11-23T01:32:37.0382621Z                     }
2022-11-23T01:32:37.0382686Z                 }
2022-11-23T01:32:37.0382749Z             }
2022-11-23T01:32:37.0382812Z         }
2022-11-23T01:32:37.0382875Z     }
2022-11-23T01:32:37.0382935Z }
2022-11-23T01:32:37.0383000Z ''')
2022-11-23T01:32:37.0383020Z 
2022-11-23T01:32:37.0383025Z 
2022-11-23T01:32:37.0383103Z async_compile.wait(globals())
2022-11-23T01:32:37.0383175Z del async_compile
2022-11-23T01:32:37.0383181Z 
2022-11-23T01:32:37.0383251Z def call(args):
2022-11-23T01:32:37.0383325Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.0383397Z     args.clear()
2022-11-23T01:32:37.0383613Z     buf0 = empty_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0383748Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.0383803Z     del arg0_1
2022-11-23T01:32:37.0383873Z     return (buf0, )
2022-11-23T01:32:37.0383878Z 
2022-11-23T01:32:37.0383883Z 
2022-11-23T01:32:37.0383958Z if __name__ == "__main__":
2022-11-23T01:32:37.0384070Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.0384191Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.0384407Z     arg0_1 = rand_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0384740Z     arg1_1 = rand_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0384855Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.0385215Z [2022-11-23 01:15:04,734] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4f/c4fwpc63jbeuughqsjqwyz4s4urlgj3yq52lybntq5bks4oqerw2.py
2022-11-23T01:32:37.0385482Z [2022-11-23 01:15:04,735] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 31
2022-11-23T01:32:37.0385487Z 
2022-11-23T01:32:37.0385555Z ok (2.910s)
2022-11-23T01:32:37.0385884Z   test_avg_pool2d_backward3_cpu (__main__.CpuTests) ... [2022-11-23 01:15:04,812] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.0386152Z [2022-11-23 01:15:04,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.0386373Z [2022-11-23 01:15:04,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.0386670Z [2022-11-23 01:15:04,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.0386955Z [2022-11-23 01:15:04,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.0387305Z [2022-11-23 01:15:04,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.0387632Z [2022-11-23 01:15:04,814] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f63c6270, file "inductor/test_torchinductor.py", line 4078> 
2022-11-23T01:32:37.0387714Z  4079           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.0387823Z                2 LOAD_METHOD              1 (avg_pool2d_backward)
2022-11-23T01:32:37.0387828Z 
2022-11-23T01:32:37.0387918Z 4080           4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0387925Z 
2022-11-23T01:32:37.0388014Z 4081           6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0388018Z 
2022-11-23T01:32:37.0388105Z 4082           8 LOAD_CONST               1 (1)
2022-11-23T01:32:37.0388194Z               10 LOAD_CONST               1 (1)
2022-11-23T01:32:37.0388283Z               12 BUILD_LIST               2
2022-11-23T01:32:37.0388288Z 
2022-11-23T01:32:37.0388377Z 4083          14 LOAD_CONST               2 (2)
2022-11-23T01:32:37.0388466Z               16 LOAD_CONST               2 (2)
2022-11-23T01:32:37.0388540Z               18 BUILD_LIST               2
2022-11-23T01:32:37.0388544Z 
2022-11-23T01:32:37.0388630Z 4084          20 LOAD_CONST               3 (0)
2022-11-23T01:32:37.0388718Z               22 LOAD_CONST               3 (0)
2022-11-23T01:32:37.0388804Z               24 BUILD_LIST               2
2022-11-23T01:32:37.0388809Z 
2022-11-23T01:32:37.0388900Z 4085          26 LOAD_CONST               4 (False)
2022-11-23T01:32:37.0388906Z 
2022-11-23T01:32:37.0388997Z 4086          28 LOAD_CONST               4 (False)
2022-11-23T01:32:37.0389002Z 
2022-11-23T01:32:37.0389092Z 4087          30 LOAD_CONST               0 (None)
2022-11-23T01:32:37.0389179Z               32 CALL_METHOD              8
2022-11-23T01:32:37.0389242Z               34 RETURN_VALUE
2022-11-23T01:32:37.0389303Z  
2022-11-23T01:32:37.0389308Z 
2022-11-23T01:32:37.0389578Z [2022-11-23 01:15:04,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4079
2022-11-23T01:32:37.0389795Z [2022-11-23 01:15:04,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.0390125Z [2022-11-23 01:15:04,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.0390393Z [2022-11-23 01:15:04,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4080
2022-11-23T01:32:37.0390667Z [2022-11-23 01:15:04,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)]
2022-11-23T01:32:37.0390934Z [2022-11-23 01:15:04,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4081
2022-11-23T01:32:37.0391233Z [2022-11-23 01:15:04,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()]
2022-11-23T01:32:37.0391483Z [2022-11-23 01:15:04,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4082
2022-11-23T01:32:37.0391814Z [2022-11-23 01:15:04,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0392179Z [2022-11-23 01:15:04,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0392698Z [2022-11-23 01:15:04,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0393021Z [2022-11-23 01:15:04,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4083
2022-11-23T01:32:37.0393467Z [2022-11-23 01:15:04,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.0393867Z [2022-11-23 01:15:04,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0394361Z [2022-11-23 01:15:04,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0394632Z [2022-11-23 01:15:04,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4084
2022-11-23T01:32:37.0395069Z [2022-11-23 01:15:04,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.0395537Z [2022-11-23 01:15:04,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0395997Z [2022-11-23 01:15:04,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0396307Z [2022-11-23 01:15:04,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4085
2022-11-23T01:32:37.0396717Z [2022-11-23 01:15:04,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.0396971Z [2022-11-23 01:15:04,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4086
2022-11-23T01:32:37.0397558Z [2022-11-23 01:15:04,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.0397825Z [2022-11-23 01:15:04,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4087
2022-11-23T01:32:37.0398314Z [2022-11-23 01:15:04,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:37.0398849Z [2022-11-23 01:15:04,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:32:37.0399101Z [2022-11-23 01:15:04,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0399431Z [2022-11-23 01:15:04,835] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f63c6270, file "inductor/test_torchinductor.py", line 4078>
2022-11-23T01:32:37.0399677Z [2022-11-23 01:15:04,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0399913Z [2022-11-23 01:15:04,835] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.0400239Z [2022-11-23 01:15:04,838] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.0400490Z [2022-11-23 01:15:04,846] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.0400666Z [2022-11-23 01:15:04,847] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.0400827Z  __compiled_fn_33 <eval_with_key>.212 opcode, name, target, args, kwargs
2022-11-23T01:32:37.0400957Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.0401048Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.0401228Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [1, 1], [2, 2], [0, 0], False, False, None), {}
2022-11-23T01:32:37.0401350Z output, output, output, ((avg_pool2d_backward,),), {}
2022-11-23T01:32:37.0401355Z 
2022-11-23T01:32:37.0401633Z [2022-11-23 01:15:04,847] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0401730Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.0401808Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0401901Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.0401992Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.0402067Z               8 RETURN_VALUE
2022-11-23T01:32:37.0402072Z 
2022-11-23T01:32:37.0402134Z  
2022-11-23T01:32:37.0402414Z [2022-11-23 01:15:04,848] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0402520Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_33)
2022-11-23T01:32:37.0402609Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0402684Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0402759Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.0402847Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0402937Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0403017Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.0403105Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.0403198Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.0403261Z              18 RETURN_VALUE
2022-11-23T01:32:37.0403266Z 
2022-11-23T01:32:37.0403325Z  
2022-11-23T01:32:37.0403504Z [2022-11-23 01:15:04,850] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.0403573Z  - 
2022-11-23T01:32:37.0403694Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.0403760Z             {
2022-11-23T01:32:37.0403900Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.0404071Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.0404190Z                 'obj_weakref': None
2022-11-23T01:32:37.0404414Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.0404479Z             }
2022-11-23T01:32:37.0404545Z             
2022-11-23T01:32:37.0404612Z  - 
2022-11-23T01:32:37.0404736Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.0404786Z             {
2022-11-23T01:32:37.0404928Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0405034Z                 'code': None,
2022-11-23T01:32:37.0405243Z                 'obj_weakref': <weakref at 0x7f70f2dcbad0; to 'Tensor' at 0x7f70f2906f50>
2022-11-23T01:32:37.0405492Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0405555Z             }
2022-11-23T01:32:37.0405618Z             
2022-11-23T01:32:37.0405673Z  - 
2022-11-23T01:32:37.0405794Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.0405856Z             {
2022-11-23T01:32:37.0405996Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0406101Z                 'code': None,
2022-11-23T01:32:37.0406309Z                 'obj_weakref': <weakref at 0x7f70f2dcb9b0; to 'Tensor' at 0x7f70f29060b0>
2022-11-23T01:32:37.0406587Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0406650Z             }
2022-11-23T01:32:37.0406699Z             
2022-11-23T01:32:37.0406767Z  - 
2022-11-23T01:32:37.0406896Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.0406959Z             {
2022-11-23T01:32:37.0407092Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.0407287Z                 'code': ['___check_obj_id(model, 140126549579824)'],
2022-11-23T01:32:37.0407393Z                 'obj_weakref': None
2022-11-23T01:32:37.0407621Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.0407684Z             }
2022-11-23T01:32:37.0407746Z             
2022-11-23T01:32:37.0407813Z  - 
2022-11-23T01:32:37.0407935Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.0407998Z             {
2022-11-23T01:32:37.0408122Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.0408337Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.0408458Z                 'obj_weakref': None
2022-11-23T01:32:37.0408674Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.0408737Z             }
2022-11-23T01:32:37.0408799Z             
2022-11-23T01:32:37.0408867Z  - 
2022-11-23T01:32:37.0408987Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.0409049Z             {
2022-11-23T01:32:37.0409167Z                 'guard_types': None,
2022-11-23T01:32:37.0409272Z                 'code': None,
2022-11-23T01:32:37.0409388Z                 'obj_weakref': None
2022-11-23T01:32:37.0409507Z                 'guarded_class': None
2022-11-23T01:32:37.0409573Z             }
2022-11-23T01:32:37.0409623Z             
2022-11-23T01:32:37.0409881Z [2022-11-23 01:15:04,861] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 32
2022-11-23T01:32:37.0410253Z [2022-11-23 01:15:07,446] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tq/ctqtm6qgesnpya34layj4pkyr334dqtppoctezdxrpxgmx3sz2ci.py
2022-11-23T01:32:37.0410513Z [2022-11-23 01:15:07,447] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 32
2022-11-23T01:32:37.0410519Z 
2022-11-23T01:32:37.0410613Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.0410687Z import torch
2022-11-23T01:32:37.0410756Z import random
2022-11-23T01:32:37.0410870Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.0410978Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.0410983Z 
2022-11-23T01:32:37.0411062Z aten = torch.ops.aten
2022-11-23T01:32:37.0411194Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.0411285Z async_compile = AsyncCompile()
2022-11-23T01:32:37.0411291Z 
2022-11-23T01:32:37.0411297Z 
2022-11-23T01:32:37.0411429Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.0411635Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.0411753Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.0411852Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.0411900Z {
2022-11-23T01:32:37.0411995Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.0412057Z     {
2022-11-23T01:32:37.0412136Z         #pragma omp for 
2022-11-23T01:32:37.0412219Z         for(long i0=0; i0<2016; i0+=1)
2022-11-23T01:32:37.0412281Z         {
2022-11-23T01:32:37.0412361Z             #pragma GCC ivdep
2022-11-23T01:32:37.0412434Z             for(long i1=0; i1<21; i1+=1)
2022-11-23T01:32:37.0412498Z             {
2022-11-23T01:32:37.0412579Z                 #pragma GCC ivdep
2022-11-23T01:32:37.0412668Z                 for(long i2=0; i2<21; i2+=1)
2022-11-23T01:32:37.0412734Z                 {
2022-11-23T01:32:37.0412837Z                     {
2022-11-23T01:32:37.0412893Z                         {
2022-11-23T01:32:37.0413006Z                             auto tmp0 = static_cast<int>(((1 + i1) / 2));
2022-11-23T01:32:37.0413118Z                             auto tmp1 = static_cast<int>(((1 + i2) / 2));
2022-11-23T01:32:37.0413229Z                             auto tmp2 = static_cast<int>(1 + (i1 / 2));
2022-11-23T01:32:37.0413373Z                             auto tmp3 = static_cast<int>(1 + (i2 / 2));
2022-11-23T01:32:37.0413479Z                             auto tmp4 = static_cast<int>(0);
2022-11-23T01:32:37.0413601Z                             auto tmp5 = std::max(tmp0, tmp4);
2022-11-23T01:32:37.0413708Z                             auto tmp6 = std::max(tmp1, tmp4);
2022-11-23T01:32:37.0413798Z                             auto tmp7 = static_cast<int>(11);
2022-11-23T01:32:37.0413902Z                             auto tmp8 = std::min(tmp2, tmp7);
2022-11-23T01:32:37.0414004Z                             auto tmp9 = std::min(tmp3, tmp7);
2022-11-23T01:32:37.0414104Z                             auto tmp10 = tmp5 + tmp4;
2022-11-23T01:32:37.0414200Z                             auto tmp11 = tmp6 + tmp4;
2022-11-23T01:32:37.0414302Z                             auto tmp12 = static_cast<int>(1);
2022-11-23T01:32:37.0414450Z                             auto tmp13 = tmp8 - tmp12;
2022-11-23T01:32:37.0414559Z                             auto tmp14 = std::min(tmp10, tmp13);
2022-11-23T01:32:37.0414693Z                             auto tmp15 = tmp9 - tmp12;
2022-11-23T01:32:37.0414801Z                             auto tmp16 = std::min(tmp11, tmp15);
2022-11-23T01:32:37.0414918Z                             auto tmp17 = in_ptr0[tmp16 + (11*tmp14) + (121*i0)];
2022-11-23T01:32:37.0415011Z                             auto tmp18 = tmp17 / 1;
2022-11-23T01:32:37.0415109Z                             auto tmp19 = tmp10 < tmp8;
2022-11-23T01:32:37.0415206Z                             auto tmp20 = tmp11 < tmp9;
2022-11-23T01:32:37.0415306Z                             auto tmp21 = tmp19 & tmp20;
2022-11-23T01:32:37.0415415Z                             auto tmp22 = static_cast<float>(0.0);
2022-11-23T01:32:37.0415507Z                             auto tmp23 = tmp21 ? tmp18 : tmp22;
2022-11-23T01:32:37.0415612Z                             out_ptr0[i2 + (21*i1) + (441*i0)] = tmp23;
2022-11-23T01:32:37.0415682Z                         }
2022-11-23T01:32:37.0415750Z                     }
2022-11-23T01:32:37.0415819Z                 }
2022-11-23T01:32:37.0415884Z             }
2022-11-23T01:32:37.0415948Z         }
2022-11-23T01:32:37.0415998Z     }
2022-11-23T01:32:37.0416058Z }
2022-11-23T01:32:37.0416136Z ''')
2022-11-23T01:32:37.0416141Z 
2022-11-23T01:32:37.0416145Z 
2022-11-23T01:32:37.0416238Z async_compile.wait(globals())
2022-11-23T01:32:37.0416313Z del async_compile
2022-11-23T01:32:37.0416318Z 
2022-11-23T01:32:37.0416389Z def call(args):
2022-11-23T01:32:37.0416468Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.0416527Z     args.clear()
2022-11-23T01:32:37.0416756Z     buf0 = empty_strided((1, 2016, 21, 21), (889056, 441, 21, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0416889Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.0416957Z     del arg0_1
2022-11-23T01:32:37.0417029Z     return (buf0, )
2022-11-23T01:32:37.0417034Z 
2022-11-23T01:32:37.0417038Z 
2022-11-23T01:32:37.0417114Z if __name__ == "__main__":
2022-11-23T01:32:37.0417231Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.0417353Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.0417565Z     arg0_1 = rand_strided((1, 2016, 11, 11), (243936, 121, 11, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0417786Z     arg1_1 = rand_strided((1, 2016, 21, 21), (889056, 441, 21, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0417902Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.0417907Z 
2022-11-23T01:32:37.0417974Z ok (2.929s)
2022-11-23T01:32:37.0418331Z   test_avg_pool2d_backward4_cpu (__main__.CpuTests) ... [2022-11-23 01:15:07,677] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.0418600Z [2022-11-23 01:15:07,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.0418817Z [2022-11-23 01:15:07,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.0419120Z [2022-11-23 01:15:07,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.0419409Z [2022-11-23 01:15:07,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.0419719Z [2022-11-23 01:15:07,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.0420044Z [2022-11-23 01:15:07,677] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f63c6390, file "inductor/test_torchinductor.py", line 4101> 
2022-11-23T01:32:37.0420141Z  4102           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.0420252Z                2 LOAD_METHOD              1 (avg_pool2d_backward)
2022-11-23T01:32:37.0420257Z 
2022-11-23T01:32:37.0420350Z 4103           4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0420355Z 
2022-11-23T01:32:37.0420444Z 4104           6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0420451Z 
2022-11-23T01:32:37.0420547Z 4105           8 LOAD_CONST               1 (13)
2022-11-23T01:32:37.0420639Z               10 LOAD_CONST               1 (13)
2022-11-23T01:32:37.0420729Z               12 BUILD_LIST               2
2022-11-23T01:32:37.0420734Z 
2022-11-23T01:32:37.0420811Z 4106          14 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0420899Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0420990Z               18 BUILD_LIST               2
2022-11-23T01:32:37.0420996Z 
2022-11-23T01:32:37.0421082Z 4107          20 LOAD_CONST               3 (0)
2022-11-23T01:32:37.0421172Z               22 LOAD_CONST               3 (0)
2022-11-23T01:32:37.0421258Z               24 BUILD_LIST               2
2022-11-23T01:32:37.0421264Z 
2022-11-23T01:32:37.0421358Z 4108          26 LOAD_CONST               4 (True)
2022-11-23T01:32:37.0421362Z 
2022-11-23T01:32:37.0421454Z 4109          28 LOAD_CONST               5 (False)
2022-11-23T01:32:37.0421459Z 
2022-11-23T01:32:37.0421538Z 4110          30 LOAD_CONST               0 (None)
2022-11-23T01:32:37.0421626Z               32 CALL_METHOD              8
2022-11-23T01:32:37.0421703Z               34 RETURN_VALUE
2022-11-23T01:32:37.0421764Z  
2022-11-23T01:32:37.0421769Z 
2022-11-23T01:32:37.0422040Z [2022-11-23 01:15:07,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4102
2022-11-23T01:32:37.0422258Z [2022-11-23 01:15:07,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.0422588Z [2022-11-23 01:15:07,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.0422855Z [2022-11-23 01:15:07,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4103
2022-11-23T01:32:37.0423127Z [2022-11-23 01:15:07,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)]
2022-11-23T01:32:37.0423375Z [2022-11-23 01:15:07,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4104
2022-11-23T01:32:37.0423674Z [2022-11-23 01:15:07,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()]
2022-11-23T01:32:37.0423929Z [2022-11-23 01:15:07,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4105
2022-11-23T01:32:37.0424258Z [2022-11-23 01:15:07,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0424741Z [2022-11-23 01:15:07,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0425190Z [2022-11-23 01:15:07,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0425454Z [2022-11-23 01:15:07,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4106
2022-11-23T01:32:37.0425812Z [2022-11-23 01:15:07,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.0426211Z [2022-11-23 01:15:07,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0426647Z [2022-11-23 01:15:07,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0426911Z [2022-11-23 01:15:07,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4107
2022-11-23T01:32:37.0427288Z [2022-11-23 01:15:07,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.0427693Z [2022-11-23 01:15:07,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0428152Z [2022-11-23 01:15:07,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0428415Z [2022-11-23 01:15:07,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4108
2022-11-23T01:32:37.0428822Z [2022-11-23 01:15:07,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.0429082Z [2022-11-23 01:15:07,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4109
2022-11-23T01:32:37.0429533Z [2022-11-23 01:15:07,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.0429805Z [2022-11-23 01:15:07,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4110
2022-11-23T01:32:37.0430293Z [2022-11-23 01:15:07,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:37.0430821Z [2022-11-23 01:15:07,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:32:37.0431074Z [2022-11-23 01:15:07,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0431402Z [2022-11-23 01:15:07,693] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f63c6390, file "inductor/test_torchinductor.py", line 4101>
2022-11-23T01:32:37.0431677Z [2022-11-23 01:15:07,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0431909Z [2022-11-23 01:15:07,693] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.0432178Z [2022-11-23 01:15:07,704] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.0432427Z [2022-11-23 01:15:07,710] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.0432616Z [2022-11-23 01:15:07,710] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.0432749Z  __compiled_fn_34 <eval_with_key>.218 opcode, name, target, args, kwargs
2022-11-23T01:32:37.0432839Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.0432926Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.0433102Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [13, 13], [1, 1], [0, 0], True, False, None), {}
2022-11-23T01:32:37.0433221Z output, output, output, ((avg_pool2d_backward,),), {}
2022-11-23T01:32:37.0433227Z 
2022-11-23T01:32:37.0433500Z [2022-11-23 01:15:07,711] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0433580Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.0433673Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0433767Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.0433857Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.0433933Z               8 RETURN_VALUE
2022-11-23T01:32:37.0433938Z 
2022-11-23T01:32:37.0433999Z  
2022-11-23T01:32:37.0434272Z [2022-11-23 01:15:07,711] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0434381Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_34)
2022-11-23T01:32:37.0434459Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0434547Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0434622Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.0434710Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0434796Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0434871Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.0434960Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.0435037Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.0435110Z              18 RETURN_VALUE
2022-11-23T01:32:37.0435115Z 
2022-11-23T01:32:37.0435174Z  
2022-11-23T01:32:37.0435355Z [2022-11-23 01:15:07,712] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.0435424Z  - 
2022-11-23T01:32:37.0435543Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.0435607Z             {
2022-11-23T01:32:37.0435737Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.0435920Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.0436038Z                 'obj_weakref': None
2022-11-23T01:32:37.0436261Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.0436326Z             }
2022-11-23T01:32:37.0436388Z             
2022-11-23T01:32:37.0436456Z  - 
2022-11-23T01:32:37.0436569Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.0436634Z             {
2022-11-23T01:32:37.0436776Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0436882Z                 'code': None,
2022-11-23T01:32:37.0437089Z                 'obj_weakref': <weakref at 0x7f70f2dcbdd0; to 'Tensor' at 0x7f710637e110>
2022-11-23T01:32:37.0437510Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0437576Z             }
2022-11-23T01:32:37.0437687Z             
2022-11-23T01:32:37.0437758Z  - 
2022-11-23T01:32:37.0437882Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.0437945Z             {
2022-11-23T01:32:37.0438087Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0438193Z                 'code': None,
2022-11-23T01:32:37.0438403Z                 'obj_weakref': <weakref at 0x7f70f2dcbb30; to 'Tensor' at 0x7f710637e230>
2022-11-23T01:32:37.0438671Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0438736Z             }
2022-11-23T01:32:37.0438803Z             
2022-11-23T01:32:37.0438874Z  - 
2022-11-23T01:32:37.0439006Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.0439069Z             {
2022-11-23T01:32:37.0439204Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.0439362Z                 'code': ['___check_obj_id(model, 140123426403392)'],
2022-11-23T01:32:37.0439484Z                 'obj_weakref': None
2022-11-23T01:32:37.0439711Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.0439774Z             }
2022-11-23T01:32:37.0439838Z             
2022-11-23T01:32:37.0439907Z  - 
2022-11-23T01:32:37.0440029Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.0440078Z             {
2022-11-23T01:32:37.0440215Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.0440436Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.0440553Z                 'obj_weakref': None
2022-11-23T01:32:37.0440771Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.0440836Z             }
2022-11-23T01:32:37.0440900Z             
2022-11-23T01:32:37.0440954Z  - 
2022-11-23T01:32:37.0441087Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.0441150Z             {
2022-11-23T01:32:37.0441272Z                 'guard_types': None,
2022-11-23T01:32:37.0441377Z                 'code': None,
2022-11-23T01:32:37.0441493Z                 'obj_weakref': None
2022-11-23T01:32:37.0441611Z                 'guarded_class': None
2022-11-23T01:32:37.0441662Z             }
2022-11-23T01:32:37.0441724Z             
2022-11-23T01:32:37.0441982Z [2022-11-23 01:15:07,720] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 33
2022-11-23T01:32:37.0442222Z [2022-11-23 01:15:07,725] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.avg_pool2d_backward
2022-11-23T01:32:37.0442588Z [2022-11-23 01:15:07,730] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/37/c37phnzohstu2bnctx63h2ybszr3lpto2zu2sicmt5a64t35h3aw.py
2022-11-23T01:32:37.0442850Z [2022-11-23 01:15:07,730] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 33
2022-11-23T01:32:37.0442856Z 
2022-11-23T01:32:37.0442951Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.0443023Z import torch
2022-11-23T01:32:37.0443080Z import random
2022-11-23T01:32:37.0443194Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.0443314Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.0443320Z 
2022-11-23T01:32:37.0443397Z aten = torch.ops.aten
2022-11-23T01:32:37.0443530Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.0443622Z async_compile = AsyncCompile()
2022-11-23T01:32:37.0443629Z 
2022-11-23T01:32:37.0443633Z 
2022-11-23T01:32:37.0443720Z async_compile.wait(globals())
2022-11-23T01:32:37.0443791Z del async_compile
2022-11-23T01:32:37.0443796Z 
2022-11-23T01:32:37.0443853Z def call(args):
2022-11-23T01:32:37.0443928Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.0443998Z     args.clear()
2022-11-23T01:32:37.0444142Z     buf0 = aten.avg_pool2d_backward(arg0_1, arg1_1, [13, 13], [1, 1], [0, 0], True, False, None)
2022-11-23T01:32:37.0444208Z     del arg0_1
2022-11-23T01:32:37.0444307Z     del arg1_1
2022-11-23T01:32:37.0444374Z     buf1 = buf0
2022-11-23T01:32:37.0444472Z     assert_size_stride(buf1, (1, 16, 24, 24), (9216, 576, 24, 1))
2022-11-23T01:32:37.0444536Z     del buf0
2022-11-23T01:32:37.0444607Z     return (buf1, )
2022-11-23T01:32:37.0444613Z 
2022-11-23T01:32:37.0444617Z 
2022-11-23T01:32:37.0444692Z if __name__ == "__main__":
2022-11-23T01:32:37.0444803Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.0444951Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.0445173Z     arg0_1 = rand_strided((1, 16, 12, 12), (2304, 144, 12, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0445378Z     arg1_1 = rand_strided((1, 16, 24, 24), (9216, 576, 24, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0445493Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.0445497Z 
2022-11-23T01:32:37.0445563Z ok (0.068s)
2022-11-23T01:32:37.0445885Z   test_avg_pool2d_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:15:07,742] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.0446159Z [2022-11-23 01:15:07,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.0446378Z [2022-11-23 01:15:07,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.0446630Z [2022-11-23 01:15:07,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.0446913Z [2022-11-23 01:15:07,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.0447234Z [2022-11-23 01:15:07,742] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.0447562Z [2022-11-23 01:15:07,742] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f63c6030, file "inductor/test_torchinductor.py", line 4036> 
2022-11-23T01:32:37.0447648Z  4037           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.0447759Z                2 LOAD_METHOD              1 (avg_pool2d_backward)
2022-11-23T01:32:37.0447764Z 
2022-11-23T01:32:37.0447854Z 4038           4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0447859Z 
2022-11-23T01:32:37.0447948Z 4039           6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0447952Z 
2022-11-23T01:32:37.0448045Z 4040           8 LOAD_CONST               1 (2)
2022-11-23T01:32:37.0448135Z               10 LOAD_CONST               1 (2)
2022-11-23T01:32:37.0448221Z               12 BUILD_LIST               2
2022-11-23T01:32:37.0448226Z 
2022-11-23T01:32:37.0448311Z 4041          14 LOAD_CONST               1 (2)
2022-11-23T01:32:37.0448384Z               16 LOAD_CONST               1 (2)
2022-11-23T01:32:37.0448470Z               18 BUILD_LIST               2
2022-11-23T01:32:37.0448474Z 
2022-11-23T01:32:37.0448560Z 4042          20 LOAD_CONST               2 (0)
2022-11-23T01:32:37.0448646Z               22 LOAD_CONST               2 (0)
2022-11-23T01:32:37.0448732Z               24 BUILD_LIST               2
2022-11-23T01:32:37.0448736Z 
2022-11-23T01:32:37.0448828Z 4043          26 LOAD_CONST               3 (True)
2022-11-23T01:32:37.0448833Z 
2022-11-23T01:32:37.0448923Z 4044          28 LOAD_CONST               4 (False)
2022-11-23T01:32:37.0448928Z 
2022-11-23T01:32:37.0449016Z 4045          30 LOAD_CONST               0 (None)
2022-11-23T01:32:37.0449104Z               32 CALL_METHOD              8
2022-11-23T01:32:37.0449168Z               34 RETURN_VALUE
2022-11-23T01:32:37.0449228Z  
2022-11-23T01:32:37.0449233Z 
2022-11-23T01:32:37.0449502Z [2022-11-23 01:15:07,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4037
2022-11-23T01:32:37.0449718Z [2022-11-23 01:15:07,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.0450047Z [2022-11-23 01:15:07,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.0450381Z [2022-11-23 01:15:07,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4038
2022-11-23T01:32:37.0450651Z [2022-11-23 01:15:07,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)]
2022-11-23T01:32:37.0450938Z [2022-11-23 01:15:07,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4039
2022-11-23T01:32:37.0451239Z [2022-11-23 01:15:07,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()]
2022-11-23T01:32:37.0451488Z [2022-11-23 01:15:07,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4040
2022-11-23T01:32:37.0451819Z [2022-11-23 01:15:07,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0452186Z [2022-11-23 01:15:07,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0452598Z [2022-11-23 01:15:07,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0452863Z [2022-11-23 01:15:07,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4041
2022-11-23T01:32:37.0453219Z [2022-11-23 01:15:07,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.0453609Z [2022-11-23 01:15:07,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0454039Z [2022-11-23 01:15:07,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0454303Z [2022-11-23 01:15:07,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4042
2022-11-23T01:32:37.0454677Z [2022-11-23 01:15:07,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.0455088Z [2022-11-23 01:15:07,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0455538Z [2022-11-23 01:15:07,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0455800Z [2022-11-23 01:15:07,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4043
2022-11-23T01:32:37.0456195Z [2022-11-23 01:15:07,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.0456452Z [2022-11-23 01:15:07,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4044
2022-11-23T01:32:37.0456898Z [2022-11-23 01:15:07,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.0457195Z [2022-11-23 01:15:07,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4045
2022-11-23T01:32:37.0457682Z [2022-11-23 01:15:07,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:37.0458239Z [2022-11-23 01:15:07,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:32:37.0458487Z [2022-11-23 01:15:07,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0458816Z [2022-11-23 01:15:07,757] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f63c6030, file "inductor/test_torchinductor.py", line 4036>
2022-11-23T01:32:37.0459061Z [2022-11-23 01:15:07,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0459292Z [2022-11-23 01:15:07,757] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.0459546Z [2022-11-23 01:15:07,758] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.0459795Z [2022-11-23 01:15:07,765] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.0459971Z [2022-11-23 01:15:07,766] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.0460104Z  __compiled_fn_35 <eval_with_key>.224 opcode, name, target, args, kwargs
2022-11-23T01:32:37.0460194Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.0460280Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.0460456Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [2, 2], [2, 2], [0, 0], True, False, None), {}
2022-11-23T01:32:37.0460573Z output, output, output, ((avg_pool2d_backward,),), {}
2022-11-23T01:32:37.0460578Z 
2022-11-23T01:32:37.0460853Z [2022-11-23 01:15:07,766] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0460971Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.0461049Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0461142Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.0461232Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.0461307Z               8 RETURN_VALUE
2022-11-23T01:32:37.0461312Z 
2022-11-23T01:32:37.0461373Z  
2022-11-23T01:32:37.0461655Z [2022-11-23 01:15:07,766] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0461761Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_35)
2022-11-23T01:32:37.0461853Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0461929Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0462005Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.0462093Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0462181Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0462257Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.0462344Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.0462435Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.0462496Z              18 RETURN_VALUE
2022-11-23T01:32:37.0462501Z 
2022-11-23T01:32:37.0462561Z  
2022-11-23T01:32:37.0462739Z [2022-11-23 01:15:07,767] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.0462812Z  - 
2022-11-23T01:32:37.0462928Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.0462993Z             {
2022-11-23T01:32:37.0463132Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.0463303Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.0463453Z                 'obj_weakref': None
2022-11-23T01:32:37.0463678Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.0463743Z             }
2022-11-23T01:32:37.0463810Z             
2022-11-23T01:32:37.0463881Z  - 
2022-11-23T01:32:37.0464005Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.0464056Z             {
2022-11-23T01:32:37.0464238Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0464346Z                 'code': None,
2022-11-23T01:32:37.0464645Z                 'obj_weakref': <weakref at 0x7f71c25fdb90; to 'Tensor' at 0x7f70f2d6ce30>
2022-11-23T01:32:37.0464903Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0464968Z             }
2022-11-23T01:32:37.0465032Z             
2022-11-23T01:32:37.0465090Z  - 
2022-11-23T01:32:37.0465217Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.0465280Z             {
2022-11-23T01:32:37.0465422Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0465528Z                 'code': None,
2022-11-23T01:32:37.0465738Z                 'obj_weakref': <weakref at 0x7f70f2963d70; to 'Tensor' at 0x7f70f2d6cd70>
2022-11-23T01:32:37.0465986Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0466040Z             }
2022-11-23T01:32:37.0466105Z             
2022-11-23T01:32:37.0466178Z  - 
2022-11-23T01:32:37.0466310Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.0466374Z             {
2022-11-23T01:32:37.0466509Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.0466678Z                 'code': ['___check_obj_id(model, 140124018167680)'],
2022-11-23T01:32:37.0466783Z                 'obj_weakref': None
2022-11-23T01:32:37.0467011Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.0467078Z             }
2022-11-23T01:32:37.0467142Z             
2022-11-23T01:32:37.0467213Z  - 
2022-11-23T01:32:37.0467334Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.0467399Z             {
2022-11-23T01:32:37.0467521Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.0467740Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.0467862Z                 'obj_weakref': None
2022-11-23T01:32:37.0468081Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.0468145Z             }
2022-11-23T01:32:37.0468209Z             
2022-11-23T01:32:37.0468297Z  - 
2022-11-23T01:32:37.0468415Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.0468480Z             {
2022-11-23T01:32:37.0468601Z                 'guard_types': None,
2022-11-23T01:32:37.0468710Z                 'code': None,
2022-11-23T01:32:37.0468828Z                 'obj_weakref': None
2022-11-23T01:32:37.0468949Z                 'guarded_class': None
2022-11-23T01:32:37.0469012Z             }
2022-11-23T01:32:37.0469062Z             
2022-11-23T01:32:37.0469323Z [2022-11-23 01:15:07,774] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 34
2022-11-23T01:32:37.0469696Z [2022-11-23 01:15:10,336] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/x5/cx5ovbk6dwhnbchspqoj7qryrqi5bnwurbgtsptbv2rep42jnncs.py
2022-11-23T01:32:37.0469957Z [2022-11-23 01:15:10,337] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 34
2022-11-23T01:32:37.0469963Z 
2022-11-23T01:32:37.0470058Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.0470129Z import torch
2022-11-23T01:32:37.0470198Z import random
2022-11-23T01:32:37.0470311Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.0470419Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.0470460Z 
2022-11-23T01:32:37.0470538Z aten = torch.ops.aten
2022-11-23T01:32:37.0470670Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.0470761Z async_compile = AsyncCompile()
2022-11-23T01:32:37.0470766Z 
2022-11-23T01:32:37.0470771Z 
2022-11-23T01:32:37.0470904Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.0471136Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.0471255Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.0471355Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.0471403Z {
2022-11-23T01:32:37.0471500Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.0471561Z     {
2022-11-23T01:32:37.0471640Z         #pragma omp for 
2022-11-23T01:32:37.0471720Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.0471786Z         {
2022-11-23T01:32:37.0471868Z             #pragma GCC ivdep
2022-11-23T01:32:37.0471942Z             for(long i1=0; i1<14; i1+=1)
2022-11-23T01:32:37.0472005Z             {
2022-11-23T01:32:37.0472088Z                 #pragma GCC ivdep
2022-11-23T01:32:37.0472178Z                 for(long i2=0; i2<14; i2+=1)
2022-11-23T01:32:37.0472245Z                 {
2022-11-23T01:32:37.0472315Z                     {
2022-11-23T01:32:37.0472371Z                         {
2022-11-23T01:32:37.0472484Z                             auto tmp0 = static_cast<int>((i1 / 2));
2022-11-23T01:32:37.0472589Z                             auto tmp1 = static_cast<int>((i2 / 2));
2022-11-23T01:32:37.0472699Z                             auto tmp2 = static_cast<int>(1 + (i1 / 2));
2022-11-23T01:32:37.0472806Z                             auto tmp3 = static_cast<int>(1 + (i2 / 2));
2022-11-23T01:32:37.0472911Z                             auto tmp4 = static_cast<int>(0);
2022-11-23T01:32:37.0473028Z                             auto tmp5 = std::max(tmp0, tmp4);
2022-11-23T01:32:37.0473137Z                             auto tmp6 = std::max(tmp1, tmp4);
2022-11-23T01:32:37.0473229Z                             auto tmp7 = static_cast<int>(7);
2022-11-23T01:32:37.0473333Z                             auto tmp8 = std::min(tmp2, tmp7);
2022-11-23T01:32:37.0473436Z                             auto tmp9 = std::min(tmp3, tmp7);
2022-11-23T01:32:37.0473532Z                             auto tmp10 = tmp5 + tmp4;
2022-11-23T01:32:37.0473624Z                             auto tmp11 = tmp6 + tmp4;
2022-11-23T01:32:37.0473729Z                             auto tmp12 = static_cast<int>(1);
2022-11-23T01:32:37.0473876Z                             auto tmp13 = tmp8 - tmp12;
2022-11-23T01:32:37.0473985Z                             auto tmp14 = std::min(tmp10, tmp13);
2022-11-23T01:32:37.0474116Z                             auto tmp15 = tmp9 - tmp12;
2022-11-23T01:32:37.0474222Z                             auto tmp16 = std::min(tmp11, tmp15);
2022-11-23T01:32:37.0474340Z                             auto tmp17 = in_ptr0[tmp16 + (7*tmp14) + (49*i0)];
2022-11-23T01:32:37.0474435Z                             auto tmp18 = tmp17 / 4;
2022-11-23T01:32:37.0474530Z                             auto tmp19 = tmp10 < tmp8;
2022-11-23T01:32:37.0474624Z                             auto tmp20 = tmp11 < tmp9;
2022-11-23T01:32:37.0474718Z                             auto tmp21 = tmp19 & tmp20;
2022-11-23T01:32:37.0474828Z                             auto tmp22 = static_cast<float>(0.0);
2022-11-23T01:32:37.0474922Z                             auto tmp23 = tmp21 ? tmp18 : tmp22;
2022-11-23T01:32:37.0475025Z                             out_ptr0[i2 + (14*i1) + (196*i0)] = tmp23;
2022-11-23T01:32:37.0475093Z                         }
2022-11-23T01:32:37.0475162Z                     }
2022-11-23T01:32:37.0475226Z                 }
2022-11-23T01:32:37.0475289Z             }
2022-11-23T01:32:37.0475339Z         }
2022-11-23T01:32:37.0475401Z     }
2022-11-23T01:32:37.0475459Z }
2022-11-23T01:32:37.0475536Z ''')
2022-11-23T01:32:37.0475541Z 
2022-11-23T01:32:37.0475577Z 
2022-11-23T01:32:37.0475670Z async_compile.wait(globals())
2022-11-23T01:32:37.0475741Z del async_compile
2022-11-23T01:32:37.0475746Z 
2022-11-23T01:32:37.0475815Z def call(args):
2022-11-23T01:32:37.0475891Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.0475950Z     args.clear()
2022-11-23T01:32:37.0476166Z     buf0 = empty_strided((2, 4, 14, 14), (784, 196, 14, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0476324Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.0476394Z     del arg0_1
2022-11-23T01:32:37.0476466Z     return (buf0, )
2022-11-23T01:32:37.0476472Z 
2022-11-23T01:32:37.0476477Z 
2022-11-23T01:32:37.0476552Z if __name__ == "__main__":
2022-11-23T01:32:37.0476666Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.0476777Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.0476989Z     arg0_1 = rand_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0477360Z     arg1_1 = rand_strided((2, 4, 14, 14), (784, 196, 14, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0477479Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.0477486Z 
2022-11-23T01:32:37.0477554Z ok (2.606s)
2022-11-23T01:32:37.0477866Z   test_baddbmm_cpu (__main__.CpuTests) ... [2022-11-23 01:15:10,361] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.0478140Z [2022-11-23 01:15:10,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.0478361Z [2022-11-23 01:15:10,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.0478614Z [2022-11-23 01:15:10,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.0478886Z [2022-11-23 01:15:10,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.0479213Z [2022-11-23 01:15:10,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.0479544Z [2022-11-23 01:15:10,362] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6433db0, file "inductor/test_torchinductor.py", line 3409> 
2022-11-23T01:32:37.0479639Z  3410           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.0479740Z                2 LOAD_METHOD              1 (baddbmm)
2022-11-23T01:32:37.0479833Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0479923Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0480011Z                8 LOAD_FAST                2 (c)
2022-11-23T01:32:37.0480085Z               10 CALL_METHOD              3
2022-11-23T01:32:37.0480162Z               12 RETURN_VALUE
2022-11-23T01:32:37.0480224Z  
2022-11-23T01:32:37.0480229Z 
2022-11-23T01:32:37.0480495Z [2022-11-23 01:15:10,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3410
2022-11-23T01:32:37.0480711Z [2022-11-23 01:15:10,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.0481020Z [2022-11-23 01:15:10,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR baddbmm [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.0481276Z [2022-11-23 01:15:10,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.baddbmm)]
2022-11-23T01:32:37.0481558Z [2022-11-23 01:15:10,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.baddbmm), TensorVariable()]
2022-11-23T01:32:37.0481865Z [2022-11-23 01:15:10,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.baddbmm), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0482209Z [2022-11-23 01:15:10,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.baddbmm), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0482502Z [2022-11-23 01:15:10,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0482832Z [2022-11-23 01:15:10,383] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6433db0, file "inductor/test_torchinductor.py", line 3409>
2022-11-23T01:32:37.0483110Z [2022-11-23 01:15:10,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0483349Z [2022-11-23 01:15:10,383] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.0483604Z [2022-11-23 01:15:10,385] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.0483851Z [2022-11-23 01:15:10,394] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.0484039Z [2022-11-23 01:15:10,395] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.0484176Z  __compiled_fn_36 <eval_with_key>.230 opcode, name, target, args, kwargs
2022-11-23T01:32:37.0484266Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.0484340Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.0484425Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.0484550Z call_function, baddbmm, aten.baddbmm, (ex_0_, ex_1_, ex_2_), {}
2022-11-23T01:32:37.0484653Z output, output, output, ((baddbmm,),), {}
2022-11-23T01:32:37.0484658Z 
2022-11-23T01:32:37.0484938Z [2022-11-23 01:15:10,396] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0485034Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.0485126Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0485204Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.0485293Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.0485368Z               8 RETURN_VALUE
2022-11-23T01:32:37.0485375Z 
2022-11-23T01:32:37.0485436Z  
2022-11-23T01:32:37.0485710Z [2022-11-23 01:15:10,396] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0485816Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_36)
2022-11-23T01:32:37.0485904Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0485992Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0486056Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.0486145Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0486234Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0486309Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.0486396Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0486481Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.0486555Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.0486631Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.0486725Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.0486800Z              24 RETURN_VALUE
2022-11-23T01:32:37.0486805Z 
2022-11-23T01:32:37.0486866Z  
2022-11-23T01:32:37.0487048Z [2022-11-23 01:15:10,398] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.0487117Z  - 
2022-11-23T01:32:37.0487235Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.0487286Z             {
2022-11-23T01:32:37.0487427Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.0487613Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 3'],
2022-11-23T01:32:37.0487732Z                 'obj_weakref': None
2022-11-23T01:32:37.0487955Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.0488018Z             }
2022-11-23T01:32:37.0488081Z             
2022-11-23T01:32:37.0488136Z  - 
2022-11-23T01:32:37.0488259Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.0488322Z             {
2022-11-23T01:32:37.0488492Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0488598Z                 'code': None,
2022-11-23T01:32:37.0488806Z                 'obj_weakref': <weakref at 0x7f71c25fd890; to 'Tensor' at 0x7f710638dbf0>
2022-11-23T01:32:37.0489053Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0489104Z             }
2022-11-23T01:32:37.0489167Z             
2022-11-23T01:32:37.0489264Z  - 
2022-11-23T01:32:37.0489387Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.0489449Z             {
2022-11-23T01:32:37.0489588Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0489693Z                 'code': None,
2022-11-23T01:32:37.0489885Z                 'obj_weakref': <weakref at 0x7f70f2d6c650; to 'Tensor' at 0x7f70f2d6c4d0>
2022-11-23T01:32:37.0490127Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0490196Z             }
2022-11-23T01:32:37.0490258Z             
2022-11-23T01:32:37.0490328Z  - 
2022-11-23T01:32:37.0490448Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.0490510Z             {
2022-11-23T01:32:37.0490636Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0490740Z                 'code': None,
2022-11-23T01:32:37.0490942Z                 'obj_weakref': <weakref at 0x7f70f29632f0; to 'Tensor' at 0x7f70f2d6c770>
2022-11-23T01:32:37.0491182Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0491245Z             }
2022-11-23T01:32:37.0491307Z             
2022-11-23T01:32:37.0491375Z  - 
2022-11-23T01:32:37.0491491Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.0491553Z             {
2022-11-23T01:32:37.0491686Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.0491852Z                 'code': ['___check_obj_id(model, 140126569019296)'],
2022-11-23T01:32:37.0491973Z                 'obj_weakref': None
2022-11-23T01:32:37.0492200Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.0492265Z             }
2022-11-23T01:32:37.0492314Z             
2022-11-23T01:32:37.0492382Z  - 
2022-11-23T01:32:37.0492501Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.0492563Z             {
2022-11-23T01:32:37.0492696Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.0492913Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.0493030Z                 'obj_weakref': None
2022-11-23T01:32:37.0493233Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.0493295Z             }
2022-11-23T01:32:37.0493357Z             
2022-11-23T01:32:37.0493424Z  - 
2022-11-23T01:32:37.0493554Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.0493620Z             {
2022-11-23T01:32:37.0493737Z                 'guard_types': None,
2022-11-23T01:32:37.0493829Z                 'code': None,
2022-11-23T01:32:37.0493944Z                 'obj_weakref': None
2022-11-23T01:32:37.0494062Z                 'guarded_class': None
2022-11-23T01:32:37.0494124Z             }
2022-11-23T01:32:37.0494187Z             
2022-11-23T01:32:37.0494442Z [2022-11-23 01:15:10,412] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 35
2022-11-23T01:32:37.0494812Z [2022-11-23 01:15:12,978] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wx/cwxs64zqcbm3qqmaq35imgj5hbhmzztltfhmomlujk75m4qb36nh.py
2022-11-23T01:32:37.0495077Z [2022-11-23 01:15:12,978] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 35
2022-11-23T01:32:37.0495082Z 
2022-11-23T01:32:37.0495163Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.0495232Z import torch
2022-11-23T01:32:37.0495300Z import random
2022-11-23T01:32:37.0495445Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.0495565Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.0495571Z 
2022-11-23T01:32:37.0495649Z aten = torch.ops.aten
2022-11-23T01:32:37.0495780Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.0495859Z async_compile = AsyncCompile()
2022-11-23T01:32:37.0495876Z 
2022-11-23T01:32:37.0495881Z 
2022-11-23T01:32:37.0496027Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.0496231Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.0496349Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.0496455Z                        const float* __restrict__ in_ptr0)
2022-11-23T01:32:37.0496516Z {
2022-11-23T01:32:37.0496612Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.0496674Z     {
2022-11-23T01:32:37.0496751Z         #pragma omp for  collapse(2)
2022-11-23T01:32:37.0496833Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:37.0496896Z         {
2022-11-23T01:32:37.0496983Z             for(long i1=0; i1<128; i1+=1)
2022-11-23T01:32:37.0497046Z             {
2022-11-23T01:32:37.0497133Z                 for(long i2=0; i2<6; i2+=1)
2022-11-23T01:32:37.0497198Z                 {
2022-11-23T01:32:37.0497333Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (16*i2) + (100*i0));
2022-11-23T01:32:37.0497492Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i2) + (100*i1) + (12800*i0));
2022-11-23T01:32:37.0497587Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.0497700Z                     tmp2.store(in_out_ptr0 + (16*i2) + (100*i1) + (12800*i0));
2022-11-23T01:32:37.0497769Z                 }
2022-11-23T01:32:37.0497864Z                 #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.0497954Z                 for(long i2=96; i2<100; i2+=1)
2022-11-23T01:32:37.0498006Z                 {
2022-11-23T01:32:37.0498108Z                     auto tmp0 = in_ptr0[i2 + (100*i0)];
2022-11-23T01:32:37.0498219Z                     auto tmp1 = in_out_ptr0[i2 + (100*i1) + (12800*i0)];
2022-11-23T01:32:37.0498309Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.0498414Z                     in_out_ptr0[i2 + (100*i1) + (12800*i0)] = tmp2;
2022-11-23T01:32:37.0498479Z                 }
2022-11-23T01:32:37.0498542Z             }
2022-11-23T01:32:37.0498592Z         }
2022-11-23T01:32:37.0498656Z     }
2022-11-23T01:32:37.0498716Z }
2022-11-23T01:32:37.0498795Z ''')
2022-11-23T01:32:37.0498800Z 
2022-11-23T01:32:37.0498804Z 
2022-11-23T01:32:37.0498892Z async_compile.wait(globals())
2022-11-23T01:32:37.0498964Z del async_compile
2022-11-23T01:32:37.0498969Z 
2022-11-23T01:32:37.0499039Z def call(args):
2022-11-23T01:32:37.0499121Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.0499179Z     args.clear()
2022-11-23T01:32:37.0499394Z     buf0 = empty_strided((6, 128, 100), (12800, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0499494Z     aten.bmm.out(arg1_1, arg2_1, out=buf0)
2022-11-23T01:32:37.0499561Z     del arg1_1
2022-11-23T01:32:37.0499629Z     del arg2_1
2022-11-23T01:32:37.0499715Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.0499848Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg0_1.data_ptr()))
2022-11-23T01:32:37.0499902Z     del arg0_1
2022-11-23T01:32:37.0499974Z     return (buf1, )
2022-11-23T01:32:37.0499980Z 
2022-11-23T01:32:37.0499986Z 
2022-11-23T01:32:37.0500063Z if __name__ == "__main__":
2022-11-23T01:32:37.0500178Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.0500302Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.0500515Z     arg0_1 = rand_strided((6, 1, 100), (100, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0500729Z     arg1_1 = rand_strided((6, 128, 64), (8192, 64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0500940Z     arg2_1 = rand_strided((6, 64, 100), (6400, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0501079Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.0501084Z 
2022-11-23T01:32:37.0501153Z ok (2.671s)
2022-11-23T01:32:37.0501466Z   test_batch_norm_2d_cpu (__main__.CpuTests) ... [2022-11-23 01:15:13,023] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.0501763Z [2022-11-23 01:15:13,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.0501987Z [2022-11-23 01:15:13,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.0502227Z [2022-11-23 01:15:13,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.0502502Z [2022-11-23 01:15:13,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.0502821Z [2022-11-23 01:15:13,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.0503073Z [2022-11-23 01:15:13,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0503293Z [2022-11-23 01:15:13,072] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.0503549Z [2022-11-23 01:15:13,074] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.0503797Z [2022-11-23 01:15:13,112] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.0503987Z [2022-11-23 01:15:13,113] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.0504123Z  __compiled_fn_37 <eval_with_key>.236 opcode, name, target, args, kwargs
2022-11-23T01:32:37.0504214Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.0504316Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.0504421Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.0504586Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.0504592Z 
2022-11-23T01:32:37.0504874Z [2022-11-23 01:15:13,113] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0504969Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.0505060Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0505160Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.0505251Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.0505329Z               8 RETURN_VALUE
2022-11-23T01:32:37.0505335Z 
2022-11-23T01:32:37.0505397Z  
2022-11-23T01:32:37.0505661Z [2022-11-23 01:15:13,113] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0505769Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_37)
2022-11-23T01:32:37.0505862Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0505954Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0506031Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.0506120Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.0506211Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.0506273Z              12 RETURN_VALUE
2022-11-23T01:32:37.0506292Z 
2022-11-23T01:32:37.0506340Z  
2022-11-23T01:32:37.0506526Z [2022-11-23 01:15:13,115] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.0506597Z  - 
2022-11-23T01:32:37.0506717Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.0506782Z             {
2022-11-23T01:32:37.0506922Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.0507096Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.0507215Z                 'obj_weakref': None
2022-11-23T01:32:37.0507440Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.0507547Z             }
2022-11-23T01:32:37.0507610Z             
2022-11-23T01:32:37.0507678Z  - 
2022-11-23T01:32:37.0507801Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.0507851Z             {
2022-11-23T01:32:37.0507997Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0508103Z                 'code': None,
2022-11-23T01:32:37.0508355Z                 'obj_weakref': <weakref at 0x7f70f2dbd6b0; to 'Tensor' at 0x7f71c25fdb30>
2022-11-23T01:32:37.0508605Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0508670Z             }
2022-11-23T01:32:37.0508733Z             
2022-11-23T01:32:37.0508788Z  - 
2022-11-23T01:32:37.0508906Z             local 'model' NN_MODULE
2022-11-23T01:32:37.0508968Z             {
2022-11-23T01:32:37.0509100Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.0509268Z                 'code': ['___check_obj_id(model, 140123087988432)'],
2022-11-23T01:32:37.0509484Z                 'obj_weakref': <weakref at 0x7f71188ff350; to 'Sequential' at 0x7f70f2e266d0>
2022-11-23T01:32:37.0509715Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.0509780Z             }
2022-11-23T01:32:37.0509830Z             
2022-11-23T01:32:37.0509899Z  - 
2022-11-23T01:32:37.0510021Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.0510088Z             {
2022-11-23T01:32:37.0510225Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.0510443Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.0510561Z                 'obj_weakref': None
2022-11-23T01:32:37.0510763Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.0510826Z             }
2022-11-23T01:32:37.0510888Z             
2022-11-23T01:32:37.0510957Z  - 
2022-11-23T01:32:37.0511101Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.0511163Z             {
2022-11-23T01:32:37.0511270Z                 'guard_types': None,
2022-11-23T01:32:37.0511374Z                 'code': None,
2022-11-23T01:32:37.0511489Z                 'obj_weakref': None
2022-11-23T01:32:37.0511608Z                 'guarded_class': None
2022-11-23T01:32:37.0511671Z             }
2022-11-23T01:32:37.0511733Z             
2022-11-23T01:32:37.0511805Z  - 
2022-11-23T01:32:37.0511937Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.0511999Z             {
2022-11-23T01:32:37.0512116Z                 'guard_types': None,
2022-11-23T01:32:37.0512220Z                 'code': None,
2022-11-23T01:32:37.0512335Z                 'obj_weakref': None
2022-11-23T01:32:37.0512453Z                 'guarded_class': None
2022-11-23T01:32:37.0512516Z             }
2022-11-23T01:32:37.0512565Z             
2022-11-23T01:32:37.0512820Z [2022-11-23 01:15:13,314] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 36
2022-11-23T01:32:37.0513191Z [2022-11-23 01:15:15,909] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6m/c6mzaxf3wamv63glwxl6esoe5tth3dksn673aljybdo62hn7lpnb.py
2022-11-23T01:32:37.0513449Z [2022-11-23 01:15:15,910] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 36
2022-11-23T01:32:37.0513688Z [2022-11-23 01:15:15,923] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.0513952Z [2022-11-23 01:15:15,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.0514169Z [2022-11-23 01:15:15,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.0514410Z [2022-11-23 01:15:15,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.0514685Z [2022-11-23 01:15:15,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.0515026Z [2022-11-23 01:15:15,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.0515271Z [2022-11-23 01:15:15,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0515532Z [2022-11-23 01:15:15,967] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.0515785Z [2022-11-23 01:15:15,969] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.0516034Z [2022-11-23 01:15:16,007] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.0516220Z [2022-11-23 01:15:16,008] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.0516352Z  __compiled_fn_38 <eval_with_key>.247 opcode, name, target, args, kwargs
2022-11-23T01:32:37.0516443Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.0516541Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.0516629Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.0516730Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.0516735Z 
2022-11-23T01:32:37.0517010Z [2022-11-23 01:15:16,008] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0517215Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.0517338Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0517433Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.0517524Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.0517587Z               8 RETURN_VALUE
2022-11-23T01:32:37.0517606Z 
2022-11-23T01:32:37.0517655Z  
2022-11-23T01:32:37.0517937Z [2022-11-23 01:15:16,008] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0518050Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_38)
2022-11-23T01:32:37.0518141Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0518230Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0518308Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.0518398Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.0518475Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.0518554Z              12 RETURN_VALUE
2022-11-23T01:32:37.0518559Z 
2022-11-23T01:32:37.0518621Z  
2022-11-23T01:32:37.0518800Z [2022-11-23 01:15:16,010] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.0518868Z  - 
2022-11-23T01:32:37.0518985Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.0519049Z             {
2022-11-23T01:32:37.0519176Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.0519359Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.0519481Z                 'obj_weakref': None
2022-11-23T01:32:37.0519709Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.0519773Z             }
2022-11-23T01:32:37.0519835Z             
2022-11-23T01:32:37.0519903Z  - 
2022-11-23T01:32:37.0520013Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.0520076Z             {
2022-11-23T01:32:37.0520217Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0520459Z                 'code': None,
2022-11-23T01:32:37.0520675Z                 'obj_weakref': <weakref at 0x7f71188ff050; to 'Tensor' at 0x7f71c25fdb30>
2022-11-23T01:32:37.0520928Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0520993Z             }
2022-11-23T01:32:37.0521044Z             
2022-11-23T01:32:37.0521114Z  - 
2022-11-23T01:32:37.0521234Z             local 'model' NN_MODULE
2022-11-23T01:32:37.0521365Z             {
2022-11-23T01:32:37.0521501Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.0521674Z                 'code': ['___check_obj_id(model, 140123087988432)'],
2022-11-23T01:32:37.0521891Z                 'obj_weakref': <weakref at 0x7f71188ff350; to 'Sequential' at 0x7f70f2e266d0>
2022-11-23T01:32:37.0522112Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.0522181Z             }
2022-11-23T01:32:37.0522280Z             
2022-11-23T01:32:37.0522352Z  - 
2022-11-23T01:32:37.0522474Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.0522538Z             {
2022-11-23T01:32:37.0522676Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.0522880Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.0522999Z                 'obj_weakref': None
2022-11-23T01:32:37.0523215Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.0523281Z             }
2022-11-23T01:32:37.0523345Z             
2022-11-23T01:32:37.0523414Z  - 
2022-11-23T01:32:37.0523558Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.0523609Z             {
2022-11-23T01:32:37.0523727Z                 'guard_types': None,
2022-11-23T01:32:37.0523832Z                 'code': None,
2022-11-23T01:32:37.0523948Z                 'obj_weakref': None
2022-11-23T01:32:37.0524071Z                 'guarded_class': None
2022-11-23T01:32:37.0524134Z             }
2022-11-23T01:32:37.0524196Z             
2022-11-23T01:32:37.0524251Z  - 
2022-11-23T01:32:37.0524393Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.0524455Z             {
2022-11-23T01:32:37.0524572Z                 'guard_types': None,
2022-11-23T01:32:37.0524677Z                 'code': None,
2022-11-23T01:32:37.0524792Z                 'obj_weakref': None
2022-11-23T01:32:37.0524912Z                 'guarded_class': None
2022-11-23T01:32:37.0524964Z             }
2022-11-23T01:32:37.0525026Z             
2022-11-23T01:32:37.0525281Z [2022-11-23 01:15:16,205] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 37
2022-11-23T01:32:37.0525287Z 
2022-11-23T01:32:37.0525380Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.0525449Z import torch
2022-11-23T01:32:37.0525517Z import random
2022-11-23T01:32:37.0525631Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.0525742Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.0525747Z 
2022-11-23T01:32:37.0525824Z aten = torch.ops.aten
2022-11-23T01:32:37.0525957Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.0526047Z async_compile = AsyncCompile()
2022-11-23T01:32:37.0526053Z 
2022-11-23T01:32:37.0526057Z 
2022-11-23T01:32:37.0526189Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.0526396Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.0526518Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.0526623Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.0526714Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.0526813Z                        const float* __restrict__ in_ptr3,
2022-11-23T01:32:37.0526912Z                        const float* __restrict__ in_ptr4,
2022-11-23T01:32:37.0527011Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.0527107Z                        bool* __restrict__ out_ptr1)
2022-11-23T01:32:37.0527165Z {
2022-11-23T01:32:37.0527262Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.0527311Z     {
2022-11-23T01:32:37.0527400Z         #pragma omp for  collapse(2)
2022-11-23T01:32:37.0527480Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:37.0527543Z         {
2022-11-23T01:32:37.0527631Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:37.0527728Z             {
2022-11-23T01:32:37.0527817Z                 for(long i2=0; i2<4; i2+=1)
2022-11-23T01:32:37.0527869Z                 {
2022-11-23T01:32:37.0528025Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (16*i2) + (64*i1) + (640*i0));
2022-11-23T01:32:37.0528155Z                     auto tmp1 = at::vec::Vectorized<float>(in_ptr1[i1]);
2022-11-23T01:32:37.0528280Z                     auto tmp3 = at::vec::Vectorized<float>(in_ptr2[i1]);
2022-11-23T01:32:37.0528433Z                     auto tmp11 = at::vec::Vectorized<float>(in_ptr3[i1]);
2022-11-23T01:32:37.0528559Z                     auto tmp13 = at::vec::Vectorized<float>(in_ptr4[i1]);
2022-11-23T01:32:37.0528697Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.0528912Z                     auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.0528991Z                     auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.0529081Z                     auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.0529184Z                     auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.0529321Z                     auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.0529415Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.0529509Z                     auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.0529601Z                     auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.0529694Z                     auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.0529814Z                     auto tmp15 = at::vec::clamp_min(tmp14, decltype(tmp14)(0));
2022-11-23T01:32:37.0529925Z                     tmp15.store(out_ptr0 + (16*i2) + (64*i1) + (640*i0));
2022-11-23T01:32:37.0529989Z                 }
2022-11-23T01:32:37.0530084Z                 #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.0530173Z                 for(long i2=64; i2<64; i2+=1)
2022-11-23T01:32:37.0530238Z                 {
2022-11-23T01:32:37.0530342Z                     auto tmp0 = in_ptr0[i2 + (64*i1) + (640*i0)];
2022-11-23T01:32:37.0530420Z                     auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:37.0530507Z                     auto tmp3 = in_ptr2[i1];
2022-11-23T01:32:37.0530599Z                     auto tmp11 = in_ptr3[i1];
2022-11-23T01:32:37.0530687Z                     auto tmp13 = in_ptr4[i1];
2022-11-23T01:32:37.0530820Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.0530977Z                     auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.0531066Z                     auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.0531150Z                     auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.0531234Z                     auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.0531336Z                     auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.0531423Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.0531513Z                     auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.0531603Z                     auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.0531699Z                     auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.0531794Z                     auto tmp15 = tmp14 * (tmp14>0);
2022-11-23T01:32:37.0531881Z                     out_ptr0[i2 + (64*i1) + (640*i0)] = tmp15;
2022-11-23T01:32:37.0531946Z                 }
2022-11-23T01:32:37.0532010Z             }
2022-11-23T01:32:37.0532074Z         }
2022-11-23T01:32:37.0532150Z         #pragma omp for 
2022-11-23T01:32:37.0532232Z         for(long i0=0; i0<1280; i0+=1)
2022-11-23T01:32:37.0532284Z         {
2022-11-23T01:32:37.0532347Z             {
2022-11-23T01:32:37.0532410Z                 {
2022-11-23T01:32:37.0532499Z                     auto tmp0 = out_ptr0[i0];
2022-11-23T01:32:37.0532600Z                     auto tmp1 = static_cast<float>(0);
2022-11-23T01:32:37.0532690Z                     auto tmp2 = tmp0 <= tmp1;
2022-11-23T01:32:37.0532774Z                     out_ptr1[i0] = tmp2;
2022-11-23T01:32:37.0532825Z                 }
2022-11-23T01:32:37.0532887Z             }
2022-11-23T01:32:37.0532979Z         }
2022-11-23T01:32:37.0533041Z     }
2022-11-23T01:32:37.0533101Z }
2022-11-23T01:32:37.0533179Z ''')
2022-11-23T01:32:37.0533184Z 
2022-11-23T01:32:37.0533188Z 
2022-11-23T01:32:37.0533279Z async_compile.wait(globals())
2022-11-23T01:32:37.0533339Z del async_compile
2022-11-23T01:32:37.0533343Z 
2022-11-23T01:32:37.0533413Z def call(args):
2022-11-23T01:32:37.0533550Z     primals_1, primals_2, primals_3, primals_4, primals_5, primals_6 = args
2022-11-23T01:32:37.0533650Z     args.clear()
2022-11-23T01:32:37.0533866Z     buf0 = empty_strided((2, 10, 8, 8), (640, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0534075Z     buf1 = empty_strided((2, 10, 8, 8), (640, 64, 8, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.0534352Z     kernel_cpp_0(c_void_p(primals_6.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(primals_4.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.0534426Z     del primals_1
2022-11-23T01:32:37.0534483Z     del primals_2
2022-11-23T01:32:37.0534601Z     return (buf0, primals_3, primals_4, primals_6, buf1, )
2022-11-23T01:32:37.0534606Z 
2022-11-23T01:32:37.0534610Z 
2022-11-23T01:32:37.0534685Z if __name__ == "__main__":
2022-11-23T01:32:37.0534797Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.0534918Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.0535121Z     primals_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0535320Z     primals_2 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0535519Z     primals_3 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0535698Z     primals_4 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0535886Z     primals_5 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.0536103Z     primals_6 = rand_strided((2, 10, 8, 8), (640, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0536277Z     print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5, primals_6]))
2022-11-23T01:32:37.0536282Z 
2022-11-23T01:32:37.0536287Z 
2022-11-23T01:32:37.0536380Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.0536451Z import torch
2022-11-23T01:32:37.0536523Z import random
2022-11-23T01:32:37.0536639Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.0536748Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.0536766Z 
2022-11-23T01:32:37.0536831Z aten = torch.ops.aten
2022-11-23T01:32:37.0536966Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.0537059Z async_compile = AsyncCompile()
2022-11-23T01:32:37.0537063Z 
2022-11-23T01:32:37.0537068Z 
2022-11-23T01:32:37.0537202Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.0537408Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.0537528Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.0537630Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.0537736Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.0537825Z                        const float* __restrict__ in_ptr3,
2022-11-23T01:32:37.0537928Z                        const float* __restrict__ in_ptr4,
2022-11-23T01:32:37.0538029Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.0538126Z                        bool* __restrict__ out_ptr1)
2022-11-23T01:32:37.0538188Z {
2022-11-23T01:32:37.0538286Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.0538348Z     {
2022-11-23T01:32:37.0538427Z         #pragma omp for  collapse(2)
2022-11-23T01:32:37.0538510Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T01:32:37.0538573Z         {
2022-11-23T01:32:37.0538660Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:37.0538755Z             {
2022-11-23T01:32:37.0538843Z                 for(long i2=0; i2<16; i2+=1)
2022-11-23T01:32:37.0538895Z                 {
2022-11-23T01:32:37.0539052Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (16*i2) + (256*i1) + (2560*i0));
2022-11-23T01:32:37.0539182Z                     auto tmp1 = at::vec::Vectorized<float>(in_ptr1[i1]);
2022-11-23T01:32:37.0539346Z                     auto tmp3 = at::vec::Vectorized<float>(in_ptr2[i1]);
2022-11-23T01:32:37.0539473Z                     auto tmp11 = at::vec::Vectorized<float>(in_ptr3[i1]);
2022-11-23T01:32:37.0539597Z                     auto tmp13 = at::vec::Vectorized<float>(in_ptr4[i1]);
2022-11-23T01:32:37.0539735Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.0539946Z                     auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.0540037Z                     auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.0540116Z                     auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.0540221Z                     auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.0540358Z                     auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.0540448Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.0540541Z                     auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.0540636Z                     auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.0540732Z                     auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.0540867Z                     auto tmp15 = at::vec::clamp_min(tmp14, decltype(tmp14)(0));
2022-11-23T01:32:37.0540968Z                     tmp15.store(out_ptr0 + (16*i2) + (256*i1) + (2560*i0));
2022-11-23T01:32:37.0541035Z                 }
2022-11-23T01:32:37.0541135Z                 #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.0541225Z                 for(long i2=256; i2<256; i2+=1)
2022-11-23T01:32:37.0541292Z                 {
2022-11-23T01:32:37.0541401Z                     auto tmp0 = in_ptr0[i2 + (256*i1) + (2560*i0)];
2022-11-23T01:32:37.0541491Z                     auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:37.0541566Z                     auto tmp3 = in_ptr2[i1];
2022-11-23T01:32:37.0541657Z                     auto tmp11 = in_ptr3[i1];
2022-11-23T01:32:37.0541747Z                     auto tmp13 = in_ptr4[i1];
2022-11-23T01:32:37.0541882Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.0542048Z                     auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.0542139Z                     auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.0542236Z                     auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.0542307Z                     auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.0542409Z                     auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.0542497Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.0542585Z                     auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.0542677Z                     auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.0542770Z                     auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.0542865Z                     auto tmp15 = tmp14 * (tmp14>0);
2022-11-23T01:32:37.0542955Z                     out_ptr0[i2 + (256*i1) + (2560*i0)] = tmp15;
2022-11-23T01:32:37.0543019Z                 }
2022-11-23T01:32:37.0543083Z             }
2022-11-23T01:32:37.0543145Z         }
2022-11-23T01:32:37.0543222Z         #pragma omp for 
2022-11-23T01:32:37.0543306Z         for(long i0=0; i0<7680; i0+=1)
2022-11-23T01:32:37.0543370Z         {
2022-11-23T01:32:37.0543420Z             {
2022-11-23T01:32:37.0543485Z                 {
2022-11-23T01:32:37.0543576Z                     auto tmp0 = out_ptr0[i0];
2022-11-23T01:32:37.0543682Z                     auto tmp1 = static_cast<float>(0);
2022-11-23T01:32:37.0543771Z                     auto tmp2 = tmp0 <= tmp1;
2022-11-23T01:32:37.0543854Z                     out_ptr1[i0] = tmp2;
2022-11-23T01:32:37.0543919Z                 }
2022-11-23T01:32:37.0543996Z             }
2022-11-23T01:32:37.0544057Z         }
2022-11-23T01:32:37.0544118Z     }
2022-11-23T01:32:37.0544180Z }
2022-11-23T01:32:37.0544257Z ''')
2022-11-23T01:32:37.0544262Z 
2022-11-23T01:32:37.0544266Z 
2022-11-23T01:32:37.0544356Z async_compile.wait(globals())
2022-11-23T01:32:37.0544426Z del async_compile
2022-11-23T01:32:37.0544501Z 
2022-11-23T01:32:37.0544569Z def call(args):
2022-11-23T01:32:37.0544788Z     primals_1, primals_2, primals_3, primals_4, primals_5, primals_6 = args
2022-11-23T01:32:37.0544860Z     args.clear()
2022-11-23T01:32:37.0545086Z     buf0 = empty_strided((3, 10, 16, 16), (2560, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0545300Z     buf1 = empty_strided((3, 10, 16, 16), (2560, 256, 16, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.0545581Z     kernel_cpp_0(c_void_p(primals_6.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(primals_4.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.0545658Z     del primals_1
2022-11-23T01:32:37.0545729Z     del primals_2
2022-11-23T01:32:37.0545836Z     return (buf0, primals_3, primals_4, primals_6, buf1, )
2022-11-23T01:32:37.0545841Z 
2022-11-23T01:32:37.0545859Z 
2022-11-23T01:32:37.0545923Z if __name__ == "__main__":
2022-11-23T01:32:37.0546036Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.0546161Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.0546364Z     primals_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0546563Z     primals_2 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0546758Z     primals_3 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0546954Z     primals_4 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0547125Z     primals_5 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.0547351Z     primals_6 = rand_strided((3, 10, 16, 16), (2560, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0547524Z     print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5, primals_6]))
2022-11-23T01:32:37.0547898Z [2022-11-23 01:15:18,808] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/53/c53nyllprhrqfvbxgsan3ihjo2ibxtitneo6twnniej53bhe4spm.py
2022-11-23T01:32:37.0548160Z [2022-11-23 01:15:18,809] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 37
2022-11-23T01:32:37.0548166Z 
2022-11-23T01:32:37.0548232Z ok (5.807s)
2022-11-23T01:32:37.0548541Z   test_bernoulli1_cpu (__main__.CpuTests) ... [2022-11-23 01:15:18,830] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.0548808Z [2022-11-23 01:15:18,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.0549026Z [2022-11-23 01:15:18,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.0549276Z [2022-11-23 01:15:18,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.0549548Z [2022-11-23 01:15:18,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.0549873Z [2022-11-23 01:15:18,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.0550199Z [2022-11-23 01:15:18,831] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6437ae0, file "inductor/test_torchinductor.py", line 3578> 
2022-11-23T01:32:37.0550295Z  3579           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.0550399Z                2 LOAD_METHOD              1 (empty_like)
2022-11-23T01:32:37.0550490Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0550614Z                6 CALL_METHOD              1
2022-11-23T01:32:37.0550706Z                8 STORE_FAST               1 (b)
2022-11-23T01:32:37.0550711Z 
2022-11-23T01:32:37.0550791Z 3580          10 LOAD_GLOBAL              2 (aten)
2022-11-23T01:32:37.0550894Z               12 LOAD_METHOD              3 (bernoulli_)
2022-11-23T01:32:37.0550982Z               14 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0551067Z               16 CALL_METHOD              1
2022-11-23T01:32:37.0551199Z               18 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0551287Z               20 BUILD_TUPLE              2
2022-11-23T01:32:37.0551362Z               22 RETURN_VALUE
2022-11-23T01:32:37.0551410Z  
2022-11-23T01:32:37.0551427Z 
2022-11-23T01:32:37.0551684Z [2022-11-23 01:15:18,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3579
2022-11-23T01:32:37.0551901Z [2022-11-23 01:15:18,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.0552279Z [2022-11-23 01:15:18,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR empty_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.0552603Z [2022-11-23 01:15:18,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method empty_like of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.0552961Z [2022-11-23 01:15:18,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method empty_like of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.0553201Z [2022-11-23 01:15:18,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:32:37.0553465Z [2022-11-23 01:15:18,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3580
2022-11-23T01:32:37.0553681Z [2022-11-23 01:15:18,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.0553996Z [2022-11-23 01:15:18,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bernoulli_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.0554252Z [2022-11-23 01:15:18,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.bernoulli_)]
2022-11-23T01:32:37.0554534Z [2022-11-23 01:15:18,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.bernoulli_), TensorVariable()]
2022-11-23T01:32:37.0554772Z [2022-11-23 01:15:18,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:37.0555040Z [2022-11-23 01:15:18,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0555284Z [2022-11-23 01:15:18,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.0555614Z [2022-11-23 01:15:18,855] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6437ae0, file "inductor/test_torchinductor.py", line 3578>
2022-11-23T01:32:37.0555860Z [2022-11-23 01:15:18,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.0556093Z [2022-11-23 01:15:18,855] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.0556346Z [2022-11-23 01:15:18,857] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.0556592Z [2022-11-23 01:15:18,865] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.0556766Z [2022-11-23 01:15:18,865] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.0556898Z  __compiled_fn_39 <eval_with_key>.258 opcode, name, target, args, kwargs
2022-11-23T01:32:37.0556987Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.0557372Z call_function, empty_like, <built-in method empty_like of type object at 0x7f71f2abebc0>, (ex_0_,), {}
2022-11-23T01:32:37.0557562Z call_function, bernoulli_, aten.bernoulli_, (empty_like,), {}
2022-11-23T01:32:37.0557684Z output, output, output, ((bernoulli_, empty_like),), {}
2022-11-23T01:32:37.0557689Z 
2022-11-23T01:32:37.0557969Z [2022-11-23 01:15:18,866] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0558063Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.0558175Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0558271Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.0558363Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.0558439Z               8 RETURN_VALUE
2022-11-23T01:32:37.0558445Z 
2022-11-23T01:32:37.0558507Z  
2022-11-23T01:32:37.0558784Z [2022-11-23 01:15:18,866] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0558892Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_39)
2022-11-23T01:32:37.0558984Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0559060Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0559136Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.0559223Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.0559325Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.0559428Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0559515Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0559592Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.0559679Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0559766Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0559840Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.0559927Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.0560001Z              26 RETURN_VALUE
2022-11-23T01:32:37.0560008Z 
2022-11-23T01:32:37.0560067Z  
2022-11-23T01:32:37.0560248Z [2022-11-23 01:15:18,868] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.0560304Z  - 
2022-11-23T01:32:37.0560421Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.0560484Z             {
2022-11-23T01:32:37.0560623Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.0560808Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.0560932Z                 'obj_weakref': None
2022-11-23T01:32:37.0561152Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.0561217Z             }
2022-11-23T01:32:37.0561266Z             
2022-11-23T01:32:37.0561337Z  - 
2022-11-23T01:32:37.0561458Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.0561520Z             {
2022-11-23T01:32:37.0561662Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0561767Z                 'code': None,
2022-11-23T01:32:37.0561963Z                 'obj_weakref': <weakref at 0x7f71070c8ad0; to 'Tensor' at 0x7f710637e650>
2022-11-23T01:32:37.0562210Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0562272Z             }
2022-11-23T01:32:37.0562336Z             
2022-11-23T01:32:37.0562404Z  - 
2022-11-23T01:32:37.0562533Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.0562596Z             {
2022-11-23T01:32:37.0562717Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.0562884Z                 'code': ['___check_obj_id(model, 140126568912944)'],
2022-11-23T01:32:37.0563003Z                 'obj_weakref': None
2022-11-23T01:32:37.0563229Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.0563294Z             }
2022-11-23T01:32:37.0563356Z             
2022-11-23T01:32:37.0563425Z  - 
2022-11-23T01:32:37.0563532Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.0563624Z             {
2022-11-23T01:32:37.0563758Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.0563976Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.0564094Z                 'obj_weakref': None
2022-11-23T01:32:37.0564310Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.0564373Z             }
2022-11-23T01:32:37.0564462Z             
2022-11-23T01:32:37.0564518Z  - 
2022-11-23T01:32:37.0564648Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.0564711Z             {
2022-11-23T01:32:37.0564831Z                 'guard_types': None,
2022-11-23T01:32:37.0564936Z                 'code': None,
2022-11-23T01:32:37.0565051Z                 'obj_weakref': None
2022-11-23T01:32:37.0565158Z                 'guarded_class': None
2022-11-23T01:32:37.0565220Z             }
2022-11-23T01:32:37.0565284Z             
2022-11-23T01:32:37.0565353Z  - 
2022-11-23T01:32:37.0565483Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.0565545Z             {
2022-11-23T01:32:37.0565661Z                 'guard_types': None,
2022-11-23T01:32:37.0565752Z                 'code': None,
2022-11-23T01:32:37.0565867Z                 'obj_weakref': None
2022-11-23T01:32:37.0565985Z                 'guarded_class': None
2022-11-23T01:32:37.0566048Z             }
2022-11-23T01:32:37.0566110Z             
2022-11-23T01:32:37.0566368Z [2022-11-23 01:15:18,880] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 38
2022-11-23T01:32:37.0566733Z [2022-11-23 01:15:21,429] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4v/c4v7apbhlsuyu5ijlxn3pa2ct77klvaqtkeksw2nl5t6yffgk3tl.py
2022-11-23T01:32:37.0566981Z [2022-11-23 01:15:21,430] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 38
2022-11-23T01:32:37.0566999Z 
2022-11-23T01:32:37.0567081Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.0567148Z import torch
2022-11-23T01:32:37.0567217Z import random
2022-11-23T01:32:37.0567335Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.0567455Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.0567460Z 
2022-11-23T01:32:37.0567537Z aten = torch.ops.aten
2022-11-23T01:32:37.0567671Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.0567750Z async_compile = AsyncCompile()
2022-11-23T01:32:37.0567755Z 
2022-11-23T01:32:37.0567774Z 
2022-11-23T01:32:37.0567893Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.0568098Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.0568210Z extern "C" void kernel(float* __restrict__ out_ptr0)
2022-11-23T01:32:37.0568270Z {
2022-11-23T01:32:37.0568367Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.0568428Z     {
2022-11-23T01:32:37.0568491Z         #pragma omp for 
2022-11-23T01:32:37.0568575Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:37.0568636Z         {
2022-11-23T01:32:37.0568773Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(0));
2022-11-23T01:32:37.0568866Z             tmp0.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.0568929Z         }
2022-11-23T01:32:37.0569024Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.0569105Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T01:32:37.0569157Z         {
2022-11-23T01:32:37.0569255Z             auto tmp0 = static_cast<float>(0);
2022-11-23T01:32:37.0569334Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:37.0569396Z         }
2022-11-23T01:32:37.0569457Z     }
2022-11-23T01:32:37.0569517Z }
2022-11-23T01:32:37.0569581Z ''')
2022-11-23T01:32:37.0569586Z 
2022-11-23T01:32:37.0569602Z 
2022-11-23T01:32:37.0569676Z async_compile.wait(globals())
2022-11-23T01:32:37.0569748Z del async_compile
2022-11-23T01:32:37.0569752Z 
2022-11-23T01:32:37.0569821Z def call(args):
2022-11-23T01:32:37.0569922Z     arg0_1, = args
2022-11-23T01:32:37.0569993Z     args.clear()
2022-11-23T01:32:37.0570188Z     buf0 = empty_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0570289Z     kernel_cpp_0(c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.0570359Z     aten.bernoulli_(buf0, )
2022-11-23T01:32:37.0570435Z     return (buf0, buf0, )
2022-11-23T01:32:37.0570440Z 
2022-11-23T01:32:37.0570444Z 
2022-11-23T01:32:37.0570519Z if __name__ == "__main__":
2022-11-23T01:32:37.0570659Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.0570780Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.0570977Z     arg0_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0571081Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.0571086Z 
2022-11-23T01:32:37.0571151Z ok (2.614s)
2022-11-23T01:32:37.0571449Z   test_bernoulli2_cpu (__main__.CpuTests) ... [2022-11-23 01:15:21,443] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.0571722Z [2022-11-23 01:15:21,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.0571941Z [2022-11-23 01:15:21,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.0572194Z [2022-11-23 01:15:21,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.0572481Z [2022-11-23 01:15:21,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.0572804Z [2022-11-23 01:15:21,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.0573130Z [2022-11-23 01:15:21,444] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6437c00, file "inductor/test_torchinductor.py", line 3590> 
2022-11-23T01:32:37.0573229Z  3591           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.0573326Z                2 LOAD_METHOD              1 (bernoulli)
2022-11-23T01:32:37.0573404Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0573493Z                6 CALL_METHOD              1
2022-11-23T01:32:37.0573569Z                8 RETURN_VALUE
2022-11-23T01:32:37.0573630Z  
2022-11-23T01:32:37.0573636Z 
2022-11-23T01:32:37.0573902Z [2022-11-23 01:15:21,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3591
2022-11-23T01:32:37.0574117Z [2022-11-23 01:15:21,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.0574427Z [2022-11-23 01:15:21,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bernoulli [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.0574683Z [2022-11-23 01:15:21,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.bernoulli)]
2022-11-23T01:32:37.0574964Z [2022-11-23 01:15:21,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.bernoulli), TensorVariable()]
2022-11-23T01:32:37.0575208Z [2022-11-23 01:15:21,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0575537Z [2022-11-23 01:15:21,463] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6437c00, file "inductor/test_torchinductor.py", line 3590>
2022-11-23T01:32:37.0575783Z [2022-11-23 01:15:21,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0576018Z [2022-11-23 01:15:21,464] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.0576272Z [2022-11-23 01:15:21,465] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.0576520Z [2022-11-23 01:15:21,471] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.0576741Z [2022-11-23 01:15:21,471] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.0576876Z  __compiled_fn_40 <eval_with_key>.264 opcode, name, target, args, kwargs
2022-11-23T01:32:37.0576953Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.0577074Z call_function, bernoulli, aten.bernoulli, (ex_0_,), {}
2022-11-23T01:32:37.0577179Z output, output, output, ((bernoulli,),), {}
2022-11-23T01:32:37.0577184Z 
2022-11-23T01:32:37.0577498Z [2022-11-23 01:15:21,472] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0577593Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.0577684Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0577778Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.0577870Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.0577933Z               8 RETURN_VALUE
2022-11-23T01:32:37.0577941Z 
2022-11-23T01:32:37.0578005Z  
2022-11-23T01:32:37.0578284Z [2022-11-23 01:15:21,472] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0578392Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_40)
2022-11-23T01:32:37.0578483Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0578572Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0578650Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.0578740Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.0578818Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.0578895Z              12 RETURN_VALUE
2022-11-23T01:32:37.0578899Z 
2022-11-23T01:32:37.0578961Z  
2022-11-23T01:32:37.0579143Z [2022-11-23 01:15:21,474] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.0579213Z  - 
2022-11-23T01:32:37.0579335Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.0579401Z             {
2022-11-23T01:32:37.0579532Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.0579719Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.0579838Z                 'obj_weakref': None
2022-11-23T01:32:37.0580062Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.0580127Z             }
2022-11-23T01:32:37.0580191Z             
2022-11-23T01:32:37.0580263Z  - 
2022-11-23T01:32:37.0580376Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.0580440Z             {
2022-11-23T01:32:37.0580584Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0580690Z                 'code': None,
2022-11-23T01:32:37.0580902Z                 'obj_weakref': <weakref at 0x7f71062ac0b0; to 'Tensor' at 0x7f71c22076b0>
2022-11-23T01:32:37.0581150Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0581216Z             }
2022-11-23T01:32:37.0581300Z             
2022-11-23T01:32:37.0581370Z  - 
2022-11-23T01:32:37.0581502Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.0581565Z             {
2022-11-23T01:32:37.0581700Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.0581867Z                 'code': ['___check_obj_id(model, 140124018274816)'],
2022-11-23T01:32:37.0581983Z                 'obj_weakref': None
2022-11-23T01:32:37.0582198Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.0582260Z             }
2022-11-23T01:32:37.0582325Z             
2022-11-23T01:32:37.0582392Z  - 
2022-11-23T01:32:37.0582511Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.0582573Z             {
2022-11-23T01:32:37.0582709Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.0582911Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.0583061Z                 'obj_weakref': None
2022-11-23T01:32:37.0583279Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.0583344Z             }
2022-11-23T01:32:37.0583409Z             
2022-11-23T01:32:37.0583477Z  - 
2022-11-23T01:32:37.0583608Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.0583660Z             {
2022-11-23T01:32:37.0583780Z                 'guard_types': None,
2022-11-23T01:32:37.0583912Z                 'code': None,
2022-11-23T01:32:37.0584028Z                 'obj_weakref': None
2022-11-23T01:32:37.0584150Z                 'guarded_class': None
2022-11-23T01:32:37.0584212Z             }
2022-11-23T01:32:37.0584263Z             
2022-11-23T01:32:37.0584644Z [2022-11-23 01:15:21,487] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 39
2022-11-23T01:32:37.0584907Z [2022-11-23 01:15:21,488] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:32:37.0585281Z [2022-11-23 01:15:24,022] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ea/ceaonecazohd4lnarhk456fnzdosr4lmismkiq7ydpnqobyuvlbq.py
2022-11-23T01:32:37.0585547Z [2022-11-23 01:15:24,022] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 39
2022-11-23T01:32:37.0585552Z 
2022-11-23T01:32:37.0585647Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.0585717Z import torch
2022-11-23T01:32:37.0585787Z import random
2022-11-23T01:32:37.0585906Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.0586014Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.0586019Z 
2022-11-23T01:32:37.0586098Z aten = torch.ops.aten
2022-11-23T01:32:37.0586234Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.0586327Z async_compile = AsyncCompile()
2022-11-23T01:32:37.0586489Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T01:32:37.0586497Z 
2022-11-23T01:32:37.0586501Z 
2022-11-23T01:32:37.0586634Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.0586841Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.0586958Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T01:32:37.0587051Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.0587147Z                        bool* __restrict__ out_ptr0)
2022-11-23T01:32:37.0587210Z {
2022-11-23T01:32:37.0587308Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.0587370Z     {
2022-11-23T01:32:37.0587447Z         #pragma omp for 
2022-11-23T01:32:37.0587527Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.0587577Z         {
2022-11-23T01:32:37.0587641Z             {
2022-11-23T01:32:37.0587704Z                 {
2022-11-23T01:32:37.0587790Z                     auto tmp0 = seed0[0];
2022-11-23T01:32:37.0587881Z                     auto tmp5 = in_ptr1[i0];
2022-11-23T01:32:37.0587987Z                     auto tmp1 = static_cast<int>(65535);
2022-11-23T01:32:37.0588077Z                     auto tmp2 = tmp0 ^ tmp1;
2022-11-23T01:32:37.0588165Z                     auto tmp3 = static_cast<int>(i0);
2022-11-23T01:32:37.0588301Z                     auto tmp4 = static_cast<float>(normalized_rand_cpu(tmp2, tmp3));;
2022-11-23T01:32:37.0588390Z                     auto tmp6 = tmp4 < tmp5;
2022-11-23T01:32:37.0588474Z                     out_ptr0[i0] = tmp6;
2022-11-23T01:32:37.0588541Z                 }
2022-11-23T01:32:37.0588605Z             }
2022-11-23T01:32:37.0588668Z         }
2022-11-23T01:32:37.0588718Z     }
2022-11-23T01:32:37.0588777Z }
2022-11-23T01:32:37.0588856Z ''')
2022-11-23T01:32:37.0588861Z 
2022-11-23T01:32:37.0588866Z 
2022-11-23T01:32:37.0588953Z async_compile.wait(globals())
2022-11-23T01:32:37.0589025Z del async_compile
2022-11-23T01:32:37.0589030Z 
2022-11-23T01:32:37.0589098Z def call(args):
2022-11-23T01:32:37.0589166Z     arg0_1, = args
2022-11-23T01:32:37.0589267Z     args.clear()
2022-11-23T01:32:37.0589398Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T01:32:37.0589585Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.0589759Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.0589826Z     del arg0_1
2022-11-23T01:32:37.0589897Z     return (buf0, )
2022-11-23T01:32:37.0589902Z 
2022-11-23T01:32:37.0589937Z 
2022-11-23T01:32:37.0590013Z if __name__ == "__main__":
2022-11-23T01:32:37.0590125Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.0590235Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.0590428Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.0590621Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0590727Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.0590735Z 
2022-11-23T01:32:37.0590809Z ok (2.591s)
2022-11-23T01:32:37.0591117Z   test_bitwise2_cpu (__main__.CpuTests) ... [2022-11-23 01:15:24,037] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.0591386Z [2022-11-23 01:15:24,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.0591603Z [2022-11-23 01:15:24,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.0591840Z [2022-11-23 01:15:24,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.0592124Z [2022-11-23 01:15:24,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.0592445Z [2022-11-23 01:15:24,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.0592770Z [2022-11-23 01:15:24,037] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6423270, file "inductor/test_torchinductor.py", line 2736> 
2022-11-23T01:32:37.0592866Z  2738           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.0592969Z                2 LOAD_METHOD              1 (bitwise_not)
2022-11-23T01:32:37.0593059Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.0593147Z                6 CALL_METHOD              1
2022-11-23T01:32:37.0593154Z 
2022-11-23T01:32:37.0593249Z 2739           8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.0593336Z               10 LOAD_METHOD              2 (bitwise_or)
2022-11-23T01:32:37.0593426Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:37.0593514Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:37.0593601Z               16 CALL_METHOD              2
2022-11-23T01:32:37.0593607Z 
2022-11-23T01:32:37.0593698Z 2740          18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.0593800Z               20 LOAD_METHOD              3 (bitwise_xor)
2022-11-23T01:32:37.0593888Z               22 LOAD_FAST                0 (x)
2022-11-23T01:32:37.0593961Z               24 LOAD_FAST                1 (y)
2022-11-23T01:32:37.0594047Z               26 CALL_METHOD              2
2022-11-23T01:32:37.0594052Z 
2022-11-23T01:32:37.0594142Z 2741          28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.0594242Z               30 LOAD_METHOD              4 (bitwise_and)
2022-11-23T01:32:37.0594332Z               32 LOAD_FAST                0 (x)
2022-11-23T01:32:37.0594415Z               34 LOAD_FAST                1 (y)
2022-11-23T01:32:37.0594501Z               36 CALL_METHOD              2
2022-11-23T01:32:37.0594587Z               38 BUILD_TUPLE              4
2022-11-23T01:32:37.0594650Z               40 RETURN_VALUE
2022-11-23T01:32:37.0594709Z  
2022-11-23T01:32:37.0594714Z 
2022-11-23T01:32:37.0594982Z [2022-11-23 01:15:24,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2738
2022-11-23T01:32:37.0595237Z [2022-11-23 01:15:24,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.0595608Z [2022-11-23 01:15:24,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_not [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.0595979Z [2022-11-23 01:15:24,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method bitwise_not of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.0596338Z [2022-11-23 01:15:24,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method bitwise_not of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.0596604Z [2022-11-23 01:15:24,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2739
2022-11-23T01:32:37.0596847Z [2022-11-23 01:15:24,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.0597416Z [2022-11-23 01:15:24,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_or [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.0597772Z [2022-11-23 01:15:24,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.0598159Z [2022-11-23 01:15:24,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.0598585Z [2022-11-23 01:15:24,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0598856Z [2022-11-23 01:15:24,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2740
2022-11-23T01:32:37.0599129Z [2022-11-23 01:15:24,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0599564Z [2022-11-23 01:15:24,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_xor [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.0599949Z [2022-11-23 01:15:24,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.0600359Z [2022-11-23 01:15:24,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.0600812Z [2022-11-23 01:15:24,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0601078Z [2022-11-23 01:15:24,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2741
2022-11-23T01:32:37.0601382Z [2022-11-23 01:15:24,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0601846Z [2022-11-23 01:15:24,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_and [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.0602262Z [2022-11-23 01:15:24,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.0602762Z [2022-11-23 01:15:24,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.0603276Z [2022-11-23 01:15:24,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0603590Z [2022-11-23 01:15:24,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0603835Z [2022-11-23 01:15:24,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.0604163Z [2022-11-23 01:15:24,053] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6423270, file "inductor/test_torchinductor.py", line 2736>
2022-11-23T01:32:37.0604408Z [2022-11-23 01:15:24,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.0604643Z [2022-11-23 01:15:24,053] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.0604898Z [2022-11-23 01:15:24,055] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.0605145Z [2022-11-23 01:15:24,074] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.0605333Z [2022-11-23 01:15:24,075] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.0605466Z  __compiled_fn_41 <eval_with_key>.270 opcode, name, target, args, kwargs
2022-11-23T01:32:37.0605543Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.0605628Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.0605876Z call_function, bitwise_not, <built-in method bitwise_not of type object at 0x7f71f2abebc0>, (ex_0_,), {}
2022-11-23T01:32:37.0606127Z call_function, bitwise_or, <built-in method bitwise_or of type object at 0x7f71f2abebc0>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.0606378Z call_function, bitwise_xor, <built-in method bitwise_xor of type object at 0x7f71f2abebc0>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.0606631Z call_function, bitwise_and, <built-in method bitwise_and of type object at 0x7f71f2abebc0>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.0606779Z output, output, output, ((bitwise_not, bitwise_or, bitwise_xor, bitwise_and),), {}
2022-11-23T01:32:37.0606785Z 
2022-11-23T01:32:37.0607061Z [2022-11-23 01:15:24,075] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0607153Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.0607231Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0607322Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.0607414Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.0607491Z               8 RETURN_VALUE
2022-11-23T01:32:37.0607496Z 
2022-11-23T01:32:37.0607557Z  
2022-11-23T01:32:37.0607830Z [2022-11-23 01:15:24,076] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0607936Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_41)
2022-11-23T01:32:37.0608026Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0608103Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0608178Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.0608264Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0608350Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0608425Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.0608514Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.0608617Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.0608737Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0608823Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0608898Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.0609001Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0609088Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0609163Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.0609289Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0609366Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:37.0609441Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.0609540Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0609626Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:37.0609699Z              40 BINARY_SUBSCR
2022-11-23T01:32:37.0609790Z              42 BUILD_TUPLE              4
2022-11-23T01:32:37.0609865Z              44 RETURN_VALUE
2022-11-23T01:32:37.0609870Z 
2022-11-23T01:32:37.0609917Z  
2022-11-23T01:32:37.0610099Z [2022-11-23 01:15:24,077] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.0610168Z  - 
2022-11-23T01:32:37.0610286Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.0610350Z             {
2022-11-23T01:32:37.0610489Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.0610676Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.0610781Z                 'obj_weakref': None
2022-11-23T01:32:37.0611005Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.0611069Z             }
2022-11-23T01:32:37.0611131Z             
2022-11-23T01:32:37.0611200Z  - 
2022-11-23T01:32:37.0611322Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.0611384Z             {
2022-11-23T01:32:37.0611544Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0611653Z                 'code': None,
2022-11-23T01:32:37.0611859Z                 'obj_weakref': <weakref at 0x7f71066b83b0; to 'Tensor' at 0x7f710636f410>
2022-11-23T01:32:37.0612108Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0612173Z             }
2022-11-23T01:32:37.0612236Z             
2022-11-23T01:32:37.0612304Z  - 
2022-11-23T01:32:37.0612416Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.0612479Z             {
2022-11-23T01:32:37.0612617Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0612723Z                 'code': None,
2022-11-23T01:32:37.0612925Z                 'obj_weakref': <weakref at 0x7f71066b8710; to 'Tensor' at 0x7f71062acf50>
2022-11-23T01:32:37.0613167Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0613230Z             }
2022-11-23T01:32:37.0613282Z             
2022-11-23T01:32:37.0613349Z  - 
2022-11-23T01:32:37.0613479Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.0613543Z             {
2022-11-23T01:32:37.0613676Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.0613843Z                 'code': ['___check_obj_id(model, 140123418492080)'],
2022-11-23T01:32:37.0613961Z                 'obj_weakref': None
2022-11-23T01:32:37.0614176Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.0614239Z             }
2022-11-23T01:32:37.0614302Z             
2022-11-23T01:32:37.0614373Z  - 
2022-11-23T01:32:37.0614493Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.0614555Z             {
2022-11-23T01:32:37.0614689Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.0614891Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.0615007Z                 'obj_weakref': None
2022-11-23T01:32:37.0615259Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.0615323Z             }
2022-11-23T01:32:37.0615384Z             
2022-11-23T01:32:37.0615450Z  - 
2022-11-23T01:32:37.0615586Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.0615635Z             {
2022-11-23T01:32:37.0615754Z                 'guard_types': None,
2022-11-23T01:32:37.0615859Z                 'code': None,
2022-11-23T01:32:37.0616009Z                 'obj_weakref': None
2022-11-23T01:32:37.0616130Z                 'guarded_class': None
2022-11-23T01:32:37.0616193Z             }
2022-11-23T01:32:37.0616256Z             
2022-11-23T01:32:37.0616499Z [2022-11-23 01:15:24,092] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 40
2022-11-23T01:32:37.0616870Z [2022-11-23 01:15:26,663] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rl/crlrsypo4wbokq4ahu5fah7wn3tvkwpg57snueeoqhyjfwgqse6s.py
2022-11-23T01:32:37.0617133Z [2022-11-23 01:15:26,664] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 40
2022-11-23T01:32:37.0617139Z 
2022-11-23T01:32:37.0617231Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.0617301Z import torch
2022-11-23T01:32:37.0617370Z import random
2022-11-23T01:32:37.0617485Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.0617606Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.0617614Z 
2022-11-23T01:32:37.0617679Z aten = torch.ops.aten
2022-11-23T01:32:37.0617811Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.0617904Z async_compile = AsyncCompile()
2022-11-23T01:32:37.0617908Z 
2022-11-23T01:32:37.0617912Z 
2022-11-23T01:32:37.0618046Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.0618251Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.0618371Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T01:32:37.0618475Z                        const bool* __restrict__ in_ptr1,
2022-11-23T01:32:37.0618573Z                        bool* __restrict__ out_ptr0,
2022-11-23T01:32:37.0618654Z                        bool* __restrict__ out_ptr1,
2022-11-23T01:32:37.0618747Z                        bool* __restrict__ out_ptr2,
2022-11-23T01:32:37.0618839Z                        bool* __restrict__ out_ptr3)
2022-11-23T01:32:37.0618901Z {
2022-11-23T01:32:37.0619002Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.0619065Z     {
2022-11-23T01:32:37.0619143Z         #pragma omp for 
2022-11-23T01:32:37.0619212Z         for(long i0=0; i0<40; i0+=1)
2022-11-23T01:32:37.0619279Z         {
2022-11-23T01:32:37.0619346Z             {
2022-11-23T01:32:37.0619412Z                 {
2022-11-23T01:32:37.0619507Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.0619598Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:37.0619687Z                     auto tmp1 = tmp0 == 0;
2022-11-23T01:32:37.0619766Z                     auto tmp3 = tmp0 | tmp2;
2022-11-23T01:32:37.0619854Z                     auto tmp4 = tmp0 ^ tmp2;
2022-11-23T01:32:37.0619941Z                     auto tmp5 = tmp0 & tmp2;
2022-11-23T01:32:37.0620077Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:32:37.0620161Z                     out_ptr1[i0] = tmp3;
2022-11-23T01:32:37.0620243Z                     out_ptr2[i0] = tmp4;
2022-11-23T01:32:37.0620328Z                     out_ptr3[i0] = tmp5;
2022-11-23T01:32:37.0620382Z                 }
2022-11-23T01:32:37.0620446Z             }
2022-11-23T01:32:37.0620509Z         }
2022-11-23T01:32:37.0620572Z     }
2022-11-23T01:32:37.0620633Z }
2022-11-23T01:32:37.0620712Z ''')
2022-11-23T01:32:37.0620717Z 
2022-11-23T01:32:37.0620721Z 
2022-11-23T01:32:37.0620812Z async_compile.wait(globals())
2022-11-23T01:32:37.0620872Z del async_compile
2022-11-23T01:32:37.0620877Z 
2022-11-23T01:32:37.0620947Z def call(args):
2022-11-23T01:32:37.0621054Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.0621124Z     args.clear()
2022-11-23T01:32:37.0621317Z     buf0 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.0621509Z     buf1 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.0621699Z     buf2 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.0621872Z     buf3 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.0622140Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:37.0622211Z     del arg0_1
2022-11-23T01:32:37.0622276Z     del arg1_1
2022-11-23T01:32:37.0622365Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:37.0622370Z 
2022-11-23T01:32:37.0622374Z 
2022-11-23T01:32:37.0622450Z if __name__ == "__main__":
2022-11-23T01:32:37.0622564Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.0622688Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.0622864Z     arg0_1 = rand_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.0623081Z     arg1_1 = rand_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.0623194Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.0623199Z 
2022-11-23T01:32:37.0623266Z ok (2.642s)
2022-11-23T01:32:37.0623574Z   test_bitwise_cpu (__main__.CpuTests) ... [2022-11-23 01:15:26,680] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.0623841Z [2022-11-23 01:15:26,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.0624057Z [2022-11-23 01:15:26,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.0624309Z [2022-11-23 01:15:26,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.0624700Z [2022-11-23 01:15:26,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.0625015Z [2022-11-23 01:15:26,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.0625346Z [2022-11-23 01:15:26,681] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6423150, file "inductor/test_torchinductor.py", line 2718> 
2022-11-23T01:32:37.0625444Z  2720           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.0625550Z                2 LOAD_METHOD              1 (bitwise_not)
2022-11-23T01:32:37.0625643Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.0625737Z                6 CALL_METHOD              1
2022-11-23T01:32:37.0625742Z 
2022-11-23T01:32:37.0625836Z 2721           8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.0625940Z               10 LOAD_METHOD              2 (bitwise_or)
2022-11-23T01:32:37.0626017Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:37.0626109Z               14 LOAD_FAST                1 (y)
2022-11-23T01:32:37.0626197Z               16 CALL_METHOD              2
2022-11-23T01:32:37.0626202Z 
2022-11-23T01:32:37.0626295Z 2722          18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.0626395Z               20 LOAD_METHOD              3 (bitwise_xor)
2022-11-23T01:32:37.0626486Z               22 LOAD_FAST                0 (x)
2022-11-23T01:32:37.0626574Z               24 LOAD_FAST                1 (y)
2022-11-23T01:32:37.0626660Z               26 CALL_METHOD              2
2022-11-23T01:32:37.0626665Z 
2022-11-23T01:32:37.0626742Z 2723          28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.0626839Z               30 LOAD_METHOD              4 (bitwise_and)
2022-11-23T01:32:37.0626925Z               32 LOAD_FAST                0 (x)
2022-11-23T01:32:37.0627044Z               34 LOAD_FAST                1 (y)
2022-11-23T01:32:37.0627130Z               36 CALL_METHOD              2
2022-11-23T01:32:37.0627219Z               38 BUILD_TUPLE              4
2022-11-23T01:32:37.0627294Z               40 RETURN_VALUE
2022-11-23T01:32:37.0627343Z  
2022-11-23T01:32:37.0627360Z 
2022-11-23T01:32:37.0627617Z [2022-11-23 01:15:26,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2720
2022-11-23T01:32:37.0627875Z [2022-11-23 01:15:26,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.0628249Z [2022-11-23 01:15:26,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_not [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.0628575Z [2022-11-23 01:15:26,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method bitwise_not of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.0628934Z [2022-11-23 01:15:26,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method bitwise_not of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.0629200Z [2022-11-23 01:15:26,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2721
2022-11-23T01:32:37.0629445Z [2022-11-23 01:15:26,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.0629847Z [2022-11-23 01:15:26,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_or [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.0630201Z [2022-11-23 01:15:26,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.0630584Z [2022-11-23 01:15:26,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.0631006Z [2022-11-23 01:15:26,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method bitwise_or of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0631261Z [2022-11-23 01:15:26,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2722
2022-11-23T01:32:37.0631532Z [2022-11-23 01:15:26,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0631963Z [2022-11-23 01:15:26,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_xor [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.0632344Z [2022-11-23 01:15:26,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.0632754Z [2022-11-23 01:15:26,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.0633202Z [2022-11-23 01:15:26,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_xor of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0633467Z [2022-11-23 01:15:26,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2723
2022-11-23T01:32:37.0633764Z [2022-11-23 01:15:26,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0634222Z [2022-11-23 01:15:26,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_and [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.0634666Z [2022-11-23 01:15:26,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.0635133Z [2022-11-23 01:15:26,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.0635607Z [2022-11-23 01:15:26,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method bitwise_and of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0635931Z [2022-11-23 01:15:26,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0636177Z [2022-11-23 01:15:26,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.0636495Z [2022-11-23 01:15:26,696] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6423150, file "inductor/test_torchinductor.py", line 2718>
2022-11-23T01:32:37.0636740Z [2022-11-23 01:15:26,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.0636972Z [2022-11-23 01:15:26,696] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.0637337Z [2022-11-23 01:15:26,699] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.0637588Z [2022-11-23 01:15:26,710] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.0637780Z [2022-11-23 01:15:26,710] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.0637916Z  __compiled_fn_42 <eval_with_key>.276 opcode, name, target, args, kwargs
2022-11-23T01:32:37.0638006Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.0638094Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.0638331Z call_function, bitwise_not, <built-in method bitwise_not of type object at 0x7f71f2abebc0>, (ex_0_,), {}
2022-11-23T01:32:37.0638583Z call_function, bitwise_or, <built-in method bitwise_or of type object at 0x7f71f2abebc0>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.0638836Z call_function, bitwise_xor, <built-in method bitwise_xor of type object at 0x7f71f2abebc0>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.0639088Z call_function, bitwise_and, <built-in method bitwise_and of type object at 0x7f71f2abebc0>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.0639239Z output, output, output, ((bitwise_not, bitwise_or, bitwise_xor, bitwise_and),), {}
2022-11-23T01:32:37.0639249Z 
2022-11-23T01:32:37.0639528Z [2022-11-23 01:15:26,711] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0639623Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.0639715Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0639809Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.0639889Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.0639966Z               8 RETURN_VALUE
2022-11-23T01:32:37.0639971Z 
2022-11-23T01:32:37.0809127Z  
2022-11-23T01:32:37.0809817Z [2022-11-23 01:15:26,712] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0809936Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_42)
2022-11-23T01:32:37.0810027Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0810118Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0810437Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.0810572Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0810661Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0810732Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.0810808Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.0810910Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.0811071Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0811164Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0811262Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.0811398Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0811485Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0811547Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.0811646Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0811730Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:37.0811803Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.0811901Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0811984Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:37.0812086Z              40 BINARY_SUBSCR
2022-11-23T01:32:37.0812188Z              42 BUILD_TUPLE              4
2022-11-23T01:32:37.0812260Z              44 RETURN_VALUE
2022-11-23T01:32:37.0812267Z 
2022-11-23T01:32:37.0812324Z  
2022-11-23T01:32:37.0812520Z [2022-11-23 01:15:26,714] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.0812586Z  - 
2022-11-23T01:32:37.0812700Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.0812758Z             {
2022-11-23T01:32:37.0812951Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.0813139Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.0813252Z                 'obj_weakref': None
2022-11-23T01:32:37.0813474Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.0813534Z             }
2022-11-23T01:32:37.0813601Z             
2022-11-23T01:32:37.0813705Z  - 
2022-11-23T01:32:37.0813836Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.0813895Z             {
2022-11-23T01:32:37.0814033Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0814135Z                 'code': None,
2022-11-23T01:32:37.0814342Z                 'obj_weakref': <weakref at 0x7f710625ab90; to 'Tensor' at 0x7f71c25f3050>
2022-11-23T01:32:37.0814649Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0814710Z             }
2022-11-23T01:32:37.0814761Z             
2022-11-23T01:32:37.0814826Z  - 
2022-11-23T01:32:37.0814944Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.0815000Z             {
2022-11-23T01:32:37.0815134Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0815279Z                 'code': None,
2022-11-23T01:32:37.0815500Z                 'obj_weakref': <weakref at 0x7f710625a950; to 'Tensor' at 0x7f71066b8350>
2022-11-23T01:32:37.0815733Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0815792Z             }
2022-11-23T01:32:37.0815850Z             
2022-11-23T01:32:37.0815913Z  - 
2022-11-23T01:32:37.0816040Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.0816097Z             {
2022-11-23T01:32:37.0816261Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.0816448Z                 'code': ['___check_obj_id(model, 140123421370992)'],
2022-11-23T01:32:37.0816562Z                 'obj_weakref': None
2022-11-23T01:32:37.0816785Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.0816841Z             }
2022-11-23T01:32:37.0816899Z             
2022-11-23T01:32:37.0816998Z  - 
2022-11-23T01:32:37.0817116Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.0817166Z             {
2022-11-23T01:32:37.0817297Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.0817507Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.0817664Z                 'obj_weakref': None
2022-11-23T01:32:37.0817939Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.0817997Z             }
2022-11-23T01:32:37.0818054Z             
2022-11-23T01:32:37.0818110Z  - 
2022-11-23T01:32:37.0818236Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.0818292Z             {
2022-11-23T01:32:37.0818405Z                 'guard_types': None,
2022-11-23T01:32:37.0818504Z                 'code': None,
2022-11-23T01:32:37.0818616Z                 'obj_weakref': None
2022-11-23T01:32:37.0818730Z                 'guarded_class': None
2022-11-23T01:32:37.0818783Z             }
2022-11-23T01:32:37.0818840Z             
2022-11-23T01:32:37.0819097Z [2022-11-23 01:15:26,734] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 41
2022-11-23T01:32:37.0819460Z [2022-11-23 01:15:29,296] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6b/c6bvrsvsggn5jl7ojg4obl7z2xlohacvozq4yk3ic5gvverobrrq.py
2022-11-23T01:32:37.0819717Z [2022-11-23 01:15:29,297] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 41
2022-11-23T01:32:37.0819723Z 
2022-11-23T01:32:37.0819812Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.0819874Z import torch
2022-11-23T01:32:37.0819937Z import random
2022-11-23T01:32:37.0820039Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.0820156Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.0820161Z 
2022-11-23T01:32:37.0820236Z aten = torch.ops.aten
2022-11-23T01:32:37.0820366Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.0820453Z async_compile = AsyncCompile()
2022-11-23T01:32:37.0820458Z 
2022-11-23T01:32:37.0820463Z 
2022-11-23T01:32:37.0820591Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.0820794Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.0820904Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:32:37.0820993Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:32:37.0821082Z                        int* __restrict__ out_ptr0,
2022-11-23T01:32:37.0821168Z                        int* __restrict__ out_ptr1,
2022-11-23T01:32:37.0821255Z                        int* __restrict__ out_ptr2,
2022-11-23T01:32:37.0821341Z                        int* __restrict__ out_ptr3)
2022-11-23T01:32:37.0821397Z {
2022-11-23T01:32:37.0821491Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.0821540Z     {
2022-11-23T01:32:37.0821611Z         #pragma omp for 
2022-11-23T01:32:37.0821691Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:37.0821749Z         {
2022-11-23T01:32:37.0821809Z             {
2022-11-23T01:32:37.0821868Z                 {
2022-11-23T01:32:37.0821955Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.0822033Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:37.0822109Z                     auto tmp1 = ~tmp0;
2022-11-23T01:32:37.0822195Z                     auto tmp3 = tmp0 | tmp2;
2022-11-23T01:32:37.0822281Z                     auto tmp4 = tmp0 ^ tmp2;
2022-11-23T01:32:37.0822362Z                     auto tmp5 = tmp0 & tmp2;
2022-11-23T01:32:37.0822443Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:32:37.0822522Z                     out_ptr1[i0] = tmp3;
2022-11-23T01:32:37.0822591Z                     out_ptr2[i0] = tmp4;
2022-11-23T01:32:37.0822668Z                     out_ptr3[i0] = tmp5;
2022-11-23T01:32:37.0822726Z                 }
2022-11-23T01:32:37.0822783Z             }
2022-11-23T01:32:37.0822879Z         }
2022-11-23T01:32:37.0822937Z     }
2022-11-23T01:32:37.0822983Z }
2022-11-23T01:32:37.0823060Z ''')
2022-11-23T01:32:37.0823065Z 
2022-11-23T01:32:37.0823069Z 
2022-11-23T01:32:37.0823156Z async_compile.wait(globals())
2022-11-23T01:32:37.0823222Z del async_compile
2022-11-23T01:32:37.0823227Z 
2022-11-23T01:32:37.0823293Z def call(args):
2022-11-23T01:32:37.0823364Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.0823432Z     args.clear()
2022-11-23T01:32:37.0823647Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:37.0823828Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:37.0824006Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:37.0824185Z     buf3 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:37.0824423Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:37.0824580Z     del arg0_1
2022-11-23T01:32:37.0824645Z     del arg1_1
2022-11-23T01:32:37.0824728Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:37.0824733Z 
2022-11-23T01:32:37.0824737Z 
2022-11-23T01:32:37.0824809Z if __name__ == "__main__":
2022-11-23T01:32:37.0824910Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.0825029Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.0825219Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:37.0825406Z     arg1_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:37.0825519Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.0825524Z 
2022-11-23T01:32:37.0825591Z ok (2.633s)
2022-11-23T01:32:37.0825888Z   test_bmm1_cpu (__main__.CpuTests) ... [2022-11-23 01:15:29,314] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.0826159Z [2022-11-23 01:15:29,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.0826364Z [2022-11-23 01:15:29,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.0826617Z [2022-11-23 01:15:29,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.0826906Z [2022-11-23 01:15:29,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.0827233Z [2022-11-23 01:15:29,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.0827557Z [2022-11-23 01:15:29,315] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f647f300, file "inductor/test_torchinductor.py", line 1367> 
2022-11-23T01:32:37.0827654Z  1369           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.0827752Z                2 LOAD_METHOD              1 (bmm)
2022-11-23T01:32:37.0827840Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0827929Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0828005Z                8 CALL_METHOD              2
2022-11-23T01:32:37.0828010Z 
2022-11-23T01:32:37.0828103Z 1370          10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.0828197Z               12 LOAD_METHOD              1 (bmm)
2022-11-23T01:32:37.0828288Z               14 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0828377Z               16 LOAD_CONST               1 (1)
2022-11-23T01:32:37.0828449Z               18 BINARY_ADD
2022-11-23T01:32:37.0828536Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0828609Z               22 LOAD_CONST               2 (2)
2022-11-23T01:32:37.0828680Z               24 BINARY_ADD
2022-11-23T01:32:37.0828767Z               26 CALL_METHOD              2
2022-11-23T01:32:37.0828892Z               28 LOAD_CONST               3 (3)
2022-11-23T01:32:37.0828962Z               30 BINARY_ADD
2022-11-23T01:32:37.0829050Z               32 BUILD_TUPLE              2
2022-11-23T01:32:37.0829125Z               34 RETURN_VALUE
2022-11-23T01:32:37.0829173Z  
2022-11-23T01:32:37.0829178Z 
2022-11-23T01:32:37.0829447Z [2022-11-23 01:15:29,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1369
2022-11-23T01:32:37.0829693Z [2022-11-23 01:15:29,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.0830063Z [2022-11-23 01:15:29,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.0830384Z [2022-11-23 01:15:29,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.0830728Z [2022-11-23 01:15:29,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.0831107Z [2022-11-23 01:15:29,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0831374Z [2022-11-23 01:15:29,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1370
2022-11-23T01:32:37.0831620Z [2022-11-23 01:15:29,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.0832011Z [2022-11-23 01:15:29,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.0832351Z [2022-11-23 01:15:29,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.0832725Z [2022-11-23 01:15:29,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.0833130Z [2022-11-23 01:15:29,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0833500Z [2022-11-23 01:15:29,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.0833899Z [2022-11-23 01:15:29,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0834342Z [2022-11-23 01:15:29,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0834745Z [2022-11-23 01:15:29,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0835008Z [2022-11-23 01:15:29,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0835315Z [2022-11-23 01:15:29,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0835578Z [2022-11-23 01:15:29,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0835823Z [2022-11-23 01:15:29,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.0836190Z [2022-11-23 01:15:29,334] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f647f300, file "inductor/test_torchinductor.py", line 1367>
2022-11-23T01:32:37.0836432Z [2022-11-23 01:15:29,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.0836695Z [2022-11-23 01:15:29,335] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.0836937Z [2022-11-23 01:15:29,338] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.0837310Z [2022-11-23 01:15:29,350] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.0837497Z [2022-11-23 01:15:29,351] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.0837631Z  __compiled_fn_43 <eval_with_key>.282 opcode, name, target, args, kwargs
2022-11-23T01:32:37.0837723Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.0837806Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.0838035Z call_function, bmm, <built-in method bmm of type object at 0x7f71f2abebc0>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.0838203Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.0838362Z call_function, add_1, <built-in function add>, (ex_1_, 2), {}
2022-11-23T01:32:37.0838590Z call_function, bmm_1, <built-in method bmm of type object at 0x7f71f2abebc0>, (add, add_1), {}
2022-11-23T01:32:37.0838762Z call_function, add_2, <built-in function add>, (bmm_1, 3), {}
2022-11-23T01:32:37.0838862Z output, output, output, ((bmm, add_2),), {}
2022-11-23T01:32:37.0838869Z 
2022-11-23T01:32:37.0839143Z [2022-11-23 01:15:29,351] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0839237Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.0839324Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0839414Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.0839491Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.0839566Z               8 RETURN_VALUE
2022-11-23T01:32:37.0839571Z 
2022-11-23T01:32:37.0839632Z  
2022-11-23T01:32:37.0839904Z [2022-11-23 01:15:29,352] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0840013Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_43)
2022-11-23T01:32:37.0840102Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0840189Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0840252Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.0840339Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0840424Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0840500Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.0840586Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.0840689Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.0840789Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0840874Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0840937Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.0841037Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0841127Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0841201Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.0841285Z              30 BUILD_TUPLE              2
2022-11-23T01:32:37.0841359Z              32 RETURN_VALUE
2022-11-23T01:32:37.0841364Z 
2022-11-23T01:32:37.0841424Z  
2022-11-23T01:32:37.0841594Z [2022-11-23 01:15:29,354] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.0841661Z  - 
2022-11-23T01:32:37.0841780Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.0841840Z             {
2022-11-23T01:32:37.0842053Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.0842237Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.0842355Z                 'obj_weakref': None
2022-11-23T01:32:37.0842563Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.0842628Z             }
2022-11-23T01:32:37.0842691Z             
2022-11-23T01:32:37.0842759Z  - 
2022-11-23T01:32:37.0842916Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.0842980Z             {
2022-11-23T01:32:37.0843119Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0843213Z                 'code': None,
2022-11-23T01:32:37.0843418Z                 'obj_weakref': <weakref at 0x7f710623f230; to 'Tensor' at 0x7f710636f590>
2022-11-23T01:32:37.0843665Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0843728Z             }
2022-11-23T01:32:37.0843793Z             
2022-11-23T01:32:37.0843856Z  - 
2022-11-23T01:32:37.0843977Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.0844028Z             {
2022-11-23T01:32:37.0844168Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0844275Z                 'code': None,
2022-11-23T01:32:37.0844475Z                 'obj_weakref': <weakref at 0x7f71066b89b0; to 'Tensor' at 0x7f71066f8530>
2022-11-23T01:32:37.0844721Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0844782Z             }
2022-11-23T01:32:37.0844842Z             
2022-11-23T01:32:37.0844897Z  - 
2022-11-23T01:32:37.0845027Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.0845088Z             {
2022-11-23T01:32:37.0845219Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.0845388Z                 'code': ['___check_obj_id(model, 140123419171728)'],
2022-11-23T01:32:37.0845506Z                 'obj_weakref': None
2022-11-23T01:32:37.0845731Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.0845782Z             }
2022-11-23T01:32:37.0845844Z             
2022-11-23T01:32:37.0845912Z  - 
2022-11-23T01:32:37.0846032Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.0846093Z             {
2022-11-23T01:32:37.0846228Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.0846444Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.0846550Z                 'obj_weakref': None
2022-11-23T01:32:37.0846767Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.0846830Z             }
2022-11-23T01:32:37.0846891Z             
2022-11-23T01:32:37.0846958Z  - 
2022-11-23T01:32:37.0847089Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.0847151Z             {
2022-11-23T01:32:37.0847259Z                 'guard_types': None,
2022-11-23T01:32:37.0847363Z                 'code': None,
2022-11-23T01:32:37.0847481Z                 'obj_weakref': None
2022-11-23T01:32:37.0847600Z                 'guarded_class': None
2022-11-23T01:32:37.0847660Z             }
2022-11-23T01:32:37.0847720Z             
2022-11-23T01:32:37.0847972Z [2022-11-23 01:15:29,376] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 42
2022-11-23T01:32:37.0848337Z [2022-11-23 01:15:32,032] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yq/cyqigjpylwjwvh3xd2sxzvqyautlpv7ckaeoxittmy6mdqmxsruc.py
2022-11-23T01:32:37.0848597Z [2022-11-23 01:15:32,032] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 42
2022-11-23T01:32:37.0848833Z [2022-11-23 01:15:32,044] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.0849092Z [2022-11-23 01:15:32,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.0849352Z [2022-11-23 01:15:32,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.0849602Z [2022-11-23 01:15:32,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.0849882Z [2022-11-23 01:15:32,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.0850242Z [2022-11-23 01:15:32,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.0850564Z [2022-11-23 01:15:32,044] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f647f300, file "inductor/test_torchinductor.py", line 1367> 
2022-11-23T01:32:37.0850649Z  1369           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.0850741Z                2 LOAD_METHOD              1 (bmm)
2022-11-23T01:32:37.0850831Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0850921Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0851012Z                8 CALL_METHOD              2
2022-11-23T01:32:37.0851018Z 
2022-11-23T01:32:37.0851109Z 1370          10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.0851198Z               12 LOAD_METHOD              1 (bmm)
2022-11-23T01:32:37.0851282Z               14 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0851359Z               16 LOAD_CONST               1 (1)
2022-11-23T01:32:37.0851430Z               18 BINARY_ADD
2022-11-23T01:32:37.0851514Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0851601Z               22 LOAD_CONST               2 (2)
2022-11-23T01:32:37.0851673Z               24 BINARY_ADD
2022-11-23T01:32:37.0851758Z               26 CALL_METHOD              2
2022-11-23T01:32:37.0851843Z               28 LOAD_CONST               3 (3)
2022-11-23T01:32:37.0851902Z               30 BINARY_ADD
2022-11-23T01:32:37.0851993Z               32 BUILD_TUPLE              2
2022-11-23T01:32:37.0852064Z               34 RETURN_VALUE
2022-11-23T01:32:37.0852128Z  
2022-11-23T01:32:37.0852134Z 
2022-11-23T01:32:37.0852399Z [2022-11-23 01:15:32,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1369
2022-11-23T01:32:37.0852611Z [2022-11-23 01:15:32,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.0852973Z [2022-11-23 01:15:32,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.0853289Z [2022-11-23 01:15:32,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.0853629Z [2022-11-23 01:15:32,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.0853995Z [2022-11-23 01:15:32,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0854260Z [2022-11-23 01:15:32,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1370
2022-11-23T01:32:37.0854506Z [2022-11-23 01:15:32,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.0854893Z [2022-11-23 01:15:32,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.0855234Z [2022-11-23 01:15:32,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.0855639Z [2022-11-23 01:15:32,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.0856051Z [2022-11-23 01:15:32,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0856447Z [2022-11-23 01:15:32,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.0856844Z [2022-11-23 01:15:32,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0857285Z [2022-11-23 01:15:32,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0857693Z [2022-11-23 01:15:32,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0857959Z [2022-11-23 01:15:32,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0858265Z [2022-11-23 01:15:32,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.0858521Z [2022-11-23 01:15:32,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0858763Z [2022-11-23 01:15:32,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.0859093Z [2022-11-23 01:15:32,056] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f647f300, file "inductor/test_torchinductor.py", line 1367>
2022-11-23T01:32:37.0859334Z [2022-11-23 01:15:32,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.0859576Z [2022-11-23 01:15:32,056] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.0859931Z [2022-11-23 01:15:32,058] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.0860184Z [2022-11-23 01:15:32,069] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.0860370Z [2022-11-23 01:15:32,070] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.0860504Z  __compiled_fn_44 <eval_with_key>.288 opcode, name, target, args, kwargs
2022-11-23T01:32:37.0860580Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.0860668Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.0860896Z call_function, bmm, <built-in method bmm of type object at 0x7f71f2abebc0>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.0861064Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.0861235Z call_function, add_1, <built-in function add>, (ex_1_, 2), {}
2022-11-23T01:32:37.0861462Z call_function, bmm_1, <built-in method bmm of type object at 0x7f71f2abebc0>, (add, add_1), {}
2022-11-23T01:32:37.0861636Z call_function, add_2, <built-in function add>, (bmm_1, 3), {}
2022-11-23T01:32:37.0861737Z output, output, output, ((bmm, add_2),), {}
2022-11-23T01:32:37.0861742Z 
2022-11-23T01:32:37.0862076Z [2022-11-23 01:15:32,070] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0862173Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.0862260Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0862350Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.0862486Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.0862560Z               8 RETURN_VALUE
2022-11-23T01:32:37.0862565Z 
2022-11-23T01:32:37.0862624Z  
2022-11-23T01:32:37.0862906Z [2022-11-23 01:15:32,071] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0862999Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_44)
2022-11-23T01:32:37.0863113Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0863200Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0863279Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.0863364Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0863449Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0863520Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.0863595Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.0863697Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.0863796Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0863883Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0863957Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.0864056Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0864141Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0864204Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.0864291Z              30 BUILD_TUPLE              2
2022-11-23T01:32:37.0864366Z              32 RETURN_VALUE
2022-11-23T01:32:37.0864371Z 
2022-11-23T01:32:37.0864427Z  
2022-11-23T01:32:37.0864681Z [2022-11-23 01:15:32,073] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.0864749Z  - 
2022-11-23T01:32:37.0864865Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.0864916Z             {
2022-11-23T01:32:37.0865053Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.0865233Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.0865352Z                 'obj_weakref': None
2022-11-23T01:32:37.0865575Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.0865637Z             }
2022-11-23T01:32:37.0865723Z             
2022-11-23T01:32:37.0865821Z  - 
2022-11-23T01:32:37.0865948Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.0866010Z             {
2022-11-23T01:32:37.0866154Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0866258Z                 'code': None,
2022-11-23T01:32:37.0866467Z                 'obj_weakref': <weakref at 0x7f71066b8b90; to 'Tensor' at 0x7f710636f590>
2022-11-23T01:32:37.0866713Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0866775Z             }
2022-11-23T01:32:37.0866825Z             
2022-11-23T01:32:37.0866892Z  - 
2022-11-23T01:32:37.0867016Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.0867078Z             {
2022-11-23T01:32:37.0867218Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0867323Z                 'code': None,
2022-11-23T01:32:37.0867514Z                 'obj_weakref': <weakref at 0x7f710675ed70; to 'Tensor' at 0x7f71066ebe30>
2022-11-23T01:32:37.0867759Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0867824Z             }
2022-11-23T01:32:37.0867889Z             
2022-11-23T01:32:37.0867954Z  - 
2022-11-23T01:32:37.0868084Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.0868146Z             {
2022-11-23T01:32:37.0868267Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.0868434Z                 'code': ['___check_obj_id(model, 140123419171728)'],
2022-11-23T01:32:37.0868551Z                 'obj_weakref': None
2022-11-23T01:32:37.0868781Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.0868887Z             }
2022-11-23T01:32:37.0868947Z             
2022-11-23T01:32:37.0869014Z  - 
2022-11-23T01:32:37.0869123Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.0869183Z             {
2022-11-23T01:32:37.0869317Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.0869532Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.0869676Z                 'obj_weakref': None
2022-11-23T01:32:37.0869894Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.0869961Z             }
2022-11-23T01:32:37.0870022Z             
2022-11-23T01:32:37.0870078Z  - 
2022-11-23T01:32:37.0870209Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.0870271Z             {
2022-11-23T01:32:37.0870389Z                 'guard_types': None,
2022-11-23T01:32:37.0870493Z                 'code': None,
2022-11-23T01:32:37.0870612Z                 'obj_weakref': None
2022-11-23T01:32:37.0870719Z                 'guarded_class': None
2022-11-23T01:32:37.0870778Z             }
2022-11-23T01:32:37.0870839Z             
2022-11-23T01:32:37.0871096Z [2022-11-23 01:15:32,087] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 43
2022-11-23T01:32:37.0871472Z [2022-11-23 01:15:34,701] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/br/cbrvqweikujf4chrwdzk6jqf7wvadycxhmuf5i5tlmpcofsm3n64.py
2022-11-23T01:32:37.0871732Z [2022-11-23 01:15:34,702] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 43
2022-11-23T01:32:37.0871739Z 
2022-11-23T01:32:37.0871829Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.0871895Z import torch
2022-11-23T01:32:37.0871951Z import random
2022-11-23T01:32:37.0872065Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.0872184Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.0872196Z 
2022-11-23T01:32:37.0872273Z aten = torch.ops.aten
2022-11-23T01:32:37.0872408Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.0872499Z async_compile = AsyncCompile()
2022-11-23T01:32:37.0872504Z 
2022-11-23T01:32:37.0872509Z 
2022-11-23T01:32:37.0872638Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.0872918Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.0873027Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.0873127Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.0873224Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.0873320Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.0873382Z {
2022-11-23T01:32:37.0873479Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.0873538Z     {
2022-11-23T01:32:37.0873601Z         #pragma omp for 
2022-11-23T01:32:37.0873689Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.0873749Z         {
2022-11-23T01:32:37.0873902Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.0874037Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.0874121Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.0874210Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.0874261Z         }
2022-11-23T01:32:37.0874356Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.0874434Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T01:32:37.0874497Z         {
2022-11-23T01:32:37.0874578Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.0874675Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:37.0874759Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.0874825Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.0874887Z         }
2022-11-23T01:32:37.0874962Z         #pragma omp for 
2022-11-23T01:32:37.0875079Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.0875137Z         {
2022-11-23T01:32:37.0875267Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:37.0875396Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:37.0875467Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.0875553Z             tmp2.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.0875640Z         }
2022-11-23T01:32:37.0875735Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.0875814Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T01:32:37.0875874Z         {
2022-11-23T01:32:37.0875955Z             auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:37.0876040Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:37.0876120Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.0876197Z             out_ptr1[i0] = tmp2;
2022-11-23T01:32:37.0876256Z         }
2022-11-23T01:32:37.0876319Z     }
2022-11-23T01:32:37.0876376Z }
2022-11-23T01:32:37.0876453Z ''')
2022-11-23T01:32:37.0876459Z 
2022-11-23T01:32:37.0876463Z 
2022-11-23T01:32:37.0876584Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.0876786Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.0876900Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.0876958Z {
2022-11-23T01:32:37.0877051Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.0877220Z     {
2022-11-23T01:32:37.0877295Z         #pragma omp for 
2022-11-23T01:32:37.0877363Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.0877423Z         {
2022-11-23T01:32:37.0877557Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 16*i0);
2022-11-23T01:32:37.0877690Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T01:32:37.0877772Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.0877865Z             tmp2.store(in_out_ptr0 + 16*i0);
2022-11-23T01:32:37.0877928Z         }
2022-11-23T01:32:37.0878017Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.0878085Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T01:32:37.0878145Z         {
2022-11-23T01:32:37.0878230Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:37.0878326Z             auto tmp1 = static_cast<float>(3);
2022-11-23T01:32:37.0878406Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.0878490Z             in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.0878549Z         }
2022-11-23T01:32:37.0878597Z     }
2022-11-23T01:32:37.0878655Z }
2022-11-23T01:32:37.0878734Z ''')
2022-11-23T01:32:37.0878740Z 
2022-11-23T01:32:37.0878744Z 
2022-11-23T01:32:37.0878831Z async_compile.wait(globals())
2022-11-23T01:32:37.0878904Z del async_compile
2022-11-23T01:32:37.0878909Z 
2022-11-23T01:32:37.0878975Z def call(args):
2022-11-23T01:32:37.0879049Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.0879106Z     args.clear()
2022-11-23T01:32:37.0879306Z     buf0 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0879404Z     aten.bmm.out(arg0_1, arg1_1, out=buf0)
2022-11-23T01:32:37.0879603Z     buf1 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0879799Z     buf2 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0879991Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:37.0880055Z     del arg0_1
2022-11-23T01:32:37.0880108Z     del arg1_1
2022-11-23T01:32:37.0880302Z     buf3 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0880393Z     aten.bmm.out(buf1, buf2, out=buf3)
2022-11-23T01:32:37.0880458Z     del buf1
2022-11-23T01:32:37.0880521Z     del buf2
2022-11-23T01:32:37.0880603Z     buf4 = buf3; del buf3  # reuse
2022-11-23T01:32:37.0880704Z     kernel_cpp_1(c_void_p(buf4.data_ptr()))
2022-11-23T01:32:37.0880825Z     return (buf0, buf4, )
2022-11-23T01:32:37.0880841Z 
2022-11-23T01:32:37.0880845Z 
2022-11-23T01:32:37.0880908Z if __name__ == "__main__":
2022-11-23T01:32:37.0881017Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.0881137Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.0881336Z     arg0_1 = rand_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0881570Z     arg1_1 = rand_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0881684Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.0881689Z 
2022-11-23T01:32:37.0881693Z 
2022-11-23T01:32:37.0881783Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.0881849Z import torch
2022-11-23T01:32:37.0881906Z import random
2022-11-23T01:32:37.0882014Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.0882131Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.0882138Z 
2022-11-23T01:32:37.0882213Z aten = torch.ops.aten
2022-11-23T01:32:37.0882343Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.0882432Z async_compile = AsyncCompile()
2022-11-23T01:32:37.0882437Z 
2022-11-23T01:32:37.0882441Z 
2022-11-23T01:32:37.0882573Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.0882773Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.0882882Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.0882984Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.0883086Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.0883181Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.0883241Z {
2022-11-23T01:32:37.0883335Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.0883396Z     {
2022-11-23T01:32:37.0883459Z         #pragma omp for 
2022-11-23T01:32:37.0883540Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.0883603Z         {
2022-11-23T01:32:37.0883733Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.0883863Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.0883944Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.0884034Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.0884085Z         }
2022-11-23T01:32:37.0884181Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.0884261Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T01:32:37.0884321Z         {
2022-11-23T01:32:37.0884403Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.0884499Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:37.0884581Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.0884647Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.0884708Z         }
2022-11-23T01:32:37.0884783Z         #pragma omp for 
2022-11-23T01:32:37.0884861Z         for(long i0=0; i0<5; i0+=1)
2022-11-23T01:32:37.0884921Z         {
2022-11-23T01:32:37.0885048Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:37.0885176Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:37.0885246Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.0885334Z             tmp2.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.0885394Z         }
2022-11-23T01:32:37.0885487Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.0885568Z         for(long i0=80; i0<80; i0+=1)
2022-11-23T01:32:37.0885628Z         {
2022-11-23T01:32:37.0885708Z             auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:37.0885792Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:37.0885873Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.0885951Z             out_ptr1[i0] = tmp2;
2022-11-23T01:32:37.0886008Z         }
2022-11-23T01:32:37.0886068Z     }
2022-11-23T01:32:37.0886154Z }
2022-11-23T01:32:37.0886220Z ''')
2022-11-23T01:32:37.0886236Z 
2022-11-23T01:32:37.0886240Z 
2022-11-23T01:32:37.0886360Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.0886563Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.0886678Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.0886734Z {
2022-11-23T01:32:37.0886829Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.0886923Z     {
2022-11-23T01:32:37.0886999Z         #pragma omp for 
2022-11-23T01:32:37.0887067Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:37.0887124Z         {
2022-11-23T01:32:37.0887256Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 16*i0);
2022-11-23T01:32:37.0887387Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T01:32:37.0887470Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.0887563Z             tmp2.store(in_out_ptr0 + 16*i0);
2022-11-23T01:32:37.0887625Z         }
2022-11-23T01:32:37.0887705Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.0887787Z         for(long i0=160; i0<160; i0+=1)
2022-11-23T01:32:37.0887846Z         {
2022-11-23T01:32:37.0887931Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:37.0888028Z             auto tmp1 = static_cast<float>(3);
2022-11-23T01:32:37.0888109Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.0888188Z             in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.0888239Z         }
2022-11-23T01:32:37.0888298Z     }
2022-11-23T01:32:37.0888357Z }
2022-11-23T01:32:37.0888431Z ''')
2022-11-23T01:32:37.0888436Z 
2022-11-23T01:32:37.0888440Z 
2022-11-23T01:32:37.0888527Z async_compile.wait(globals())
2022-11-23T01:32:37.0888597Z del async_compile
2022-11-23T01:32:37.0888602Z 
2022-11-23T01:32:37.0888668Z def call(args):
2022-11-23T01:32:37.0888731Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.0888801Z     args.clear()
2022-11-23T01:32:37.0889010Z     buf0 = empty_strided((1, 16, 10), (160, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0889174Z     aten.mm.out(as_strided(arg0_1, (16, 8), (8, 1)), as_strided(arg1_1, (8, 10), (10, 1)), out=as_strided(buf0, (16, 10), (10, 1)))
2022-11-23T01:32:37.0889378Z     buf1 = empty_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0889574Z     buf2 = empty_strided((1, 8, 10), (80, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0889764Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:37.0889833Z     del arg0_1
2022-11-23T01:32:37.0889886Z     del arg1_1
2022-11-23T01:32:37.0890089Z     buf3 = empty_strided((1, 16, 10), (160, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0890248Z     aten.mm.out(as_strided(buf1, (16, 8), (8, 1)), as_strided(buf2, (8, 10), (10, 1)), out=as_strided(buf3, (16, 10), (10, 1)))
2022-11-23T01:32:37.0890311Z     del buf1
2022-11-23T01:32:37.0890375Z     del buf2
2022-11-23T01:32:37.0890455Z     buf4 = buf3; del buf3  # reuse
2022-11-23T01:32:37.0890557Z     kernel_cpp_1(c_void_p(buf4.data_ptr()))
2022-11-23T01:32:37.0890621Z     return (buf0, buf4, )
2022-11-23T01:32:37.0890638Z 
2022-11-23T01:32:37.0890641Z 
2022-11-23T01:32:37.0890704Z if __name__ == "__main__":
2022-11-23T01:32:37.0890817Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.0890939Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.0891141Z     arg0_1 = rand_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0891336Z     arg1_1 = rand_strided((1, 8, 10), (80, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0891447Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.0891453Z 
2022-11-23T01:32:37.0891515Z ok (5.406s)
2022-11-23T01:32:37.0891811Z   test_bmm2_cpu (__main__.CpuTests) ... [2022-11-23 01:15:34,718] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.0892103Z [2022-11-23 01:15:34,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.0892318Z [2022-11-23 01:15:34,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.0892568Z [2022-11-23 01:15:34,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.0892898Z [2022-11-23 01:15:34,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.0893224Z [2022-11-23 01:15:34,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.0893548Z [2022-11-23 01:15:34,719] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f647f420, file "inductor/test_torchinductor.py", line 1391> 
2022-11-23T01:32:37.0893642Z  1392           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.0893736Z                2 LOAD_METHOD              1 (bmm)
2022-11-23T01:32:37.0893827Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0893912Z                6 LOAD_METHOD              2 (permute)
2022-11-23T01:32:37.0893999Z                8 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0894089Z               10 LOAD_CONST               2 (2)
2022-11-23T01:32:37.0894174Z               12 LOAD_CONST               3 (1)
2022-11-23T01:32:37.0894261Z               14 CALL_METHOD              3
2022-11-23T01:32:37.0894345Z               16 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0894430Z               18 CALL_METHOD              2
2022-11-23T01:32:37.0894493Z               20 RETURN_VALUE
2022-11-23T01:32:37.0894553Z  
2022-11-23T01:32:37.0894557Z 
2022-11-23T01:32:37.0894823Z [2022-11-23 01:15:34,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1392
2022-11-23T01:32:37.0895040Z [2022-11-23 01:15:34,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.0895402Z [2022-11-23 01:15:34,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.0895717Z [2022-11-23 01:15:34,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.0896141Z [2022-11-23 01:15:34,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR permute [TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.0896554Z [2022-11-23 01:15:34,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>), GetAttrVariable(TensorVariable(), permute)]
2022-11-23T01:32:37.0896978Z [2022-11-23 01:15:34,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>), GetAttrVariable(TensorVariable(), permute), ConstantVariable(int)]
2022-11-23T01:32:37.0897440Z [2022-11-23 01:15:34,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>), GetAttrVariable(TensorVariable(), permute), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0897946Z [2022-11-23 01:15:34,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>), GetAttrVariable(TensorVariable(), permute), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.0898289Z [2022-11-23 01:15:34,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.0898654Z [2022-11-23 01:15:34,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method bmm of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0898935Z [2022-11-23 01:15:34,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0899263Z [2022-11-23 01:15:34,728] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f647f420, file "inductor/test_torchinductor.py", line 1391>
2022-11-23T01:32:37.0899535Z [2022-11-23 01:15:34,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.0899767Z [2022-11-23 01:15:34,728] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.0900020Z [2022-11-23 01:15:34,730] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.0900264Z [2022-11-23 01:15:34,738] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.0900451Z [2022-11-23 01:15:34,739] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.0900583Z  __compiled_fn_45 <eval_with_key>.294 opcode, name, target, args, kwargs
2022-11-23T01:32:37.0900668Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.0900742Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.0900849Z call_method, permute, permute, (ex_0_, 0, 2, 1), {}
2022-11-23T01:32:37.0901082Z call_function, bmm, <built-in method bmm of type object at 0x7f71f2abebc0>, (permute, ex_1_), {}
2022-11-23T01:32:37.0901175Z output, output, output, ((bmm,),), {}
2022-11-23T01:32:37.0901181Z 
2022-11-23T01:32:37.0901455Z [2022-11-23 01:15:34,739] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0901547Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.0901636Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0901715Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.0901805Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.0901878Z               8 RETURN_VALUE
2022-11-23T01:32:37.0901884Z 
2022-11-23T01:32:37.0901943Z  
2022-11-23T01:32:37.0902213Z [2022-11-23 01:15:34,739] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0902317Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_45)
2022-11-23T01:32:37.0902406Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0902495Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0902558Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.0902642Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0902731Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0902806Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.0902892Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.0902980Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.0903055Z              18 RETURN_VALUE
2022-11-23T01:32:37.0903060Z 
2022-11-23T01:32:37.0903107Z  
2022-11-23T01:32:37.0903285Z [2022-11-23 01:15:34,741] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.0903352Z  - 
2022-11-23T01:32:37.0903469Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.0903533Z             {
2022-11-23T01:32:37.0903672Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.0903857Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.0903962Z                 'obj_weakref': None
2022-11-23T01:32:37.0904185Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.0904247Z             }
2022-11-23T01:32:37.0904309Z             
2022-11-23T01:32:37.0904377Z  - 
2022-11-23T01:32:37.0904563Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.0904626Z             {
2022-11-23T01:32:37.0904757Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0904897Z                 'code': None,
2022-11-23T01:32:37.0905102Z                 'obj_weakref': <weakref at 0x7f710674b8f0; to 'Tensor' at 0x7f7106754b30>
2022-11-23T01:32:37.0905347Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0905409Z             }
2022-11-23T01:32:37.0905472Z             
2022-11-23T01:32:37.0905540Z  - 
2022-11-23T01:32:37.0905677Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.0905739Z             {
2022-11-23T01:32:37.0905882Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0905985Z                 'code': None,
2022-11-23T01:32:37.0906190Z                 'obj_weakref': <weakref at 0x7f710675eb90; to 'Tensor' at 0x7f710674b710>
2022-11-23T01:32:37.0906431Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0906493Z             }
2022-11-23T01:32:37.0906545Z             
2022-11-23T01:32:37.0906613Z  - 
2022-11-23T01:32:37.0906741Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.0906804Z             {
2022-11-23T01:32:37.0906936Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.0907103Z                 'code': ['___check_obj_id(model, 140123421014784)'],
2022-11-23T01:32:37.0907218Z                 'obj_weakref': None
2022-11-23T01:32:37.0907434Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.0907494Z             }
2022-11-23T01:32:37.0907557Z             
2022-11-23T01:32:37.0907627Z  - 
2022-11-23T01:32:37.0907745Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.0907806Z             {
2022-11-23T01:32:37.0907939Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.0908140Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.0908257Z                 'obj_weakref': None
2022-11-23T01:32:37.0908474Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.0908535Z             }
2022-11-23T01:32:37.0908597Z             
2022-11-23T01:32:37.0908663Z  - 
2022-11-23T01:32:37.0908795Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.0908845Z             {
2022-11-23T01:32:37.0908963Z                 'guard_types': None,
2022-11-23T01:32:37.0909068Z                 'code': None,
2022-11-23T01:32:37.0909187Z                 'obj_weakref': None
2022-11-23T01:32:37.0909306Z                 'guarded_class': None
2022-11-23T01:32:37.0909368Z             }
2022-11-23T01:32:37.0909437Z             
2022-11-23T01:32:37.0909759Z [2022-11-23 01:15:34,750] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 44
2022-11-23T01:32:37.0910128Z [2022-11-23 01:15:34,754] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d3/cd3gwhzvxithzo666ro2erxgfvvearf4fkggfxxaauv2nzqvov2f.py
2022-11-23T01:32:37.0910393Z [2022-11-23 01:15:34,754] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 44
2022-11-23T01:32:37.0910399Z 
2022-11-23T01:32:37.0910490Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.0910563Z import torch
2022-11-23T01:32:37.0910631Z import random
2022-11-23T01:32:37.0910746Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.0910866Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.0910874Z 
2022-11-23T01:32:37.0910938Z aten = torch.ops.aten
2022-11-23T01:32:37.0911073Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.0911164Z async_compile = AsyncCompile()
2022-11-23T01:32:37.0911169Z 
2022-11-23T01:32:37.0911174Z 
2022-11-23T01:32:37.0911261Z async_compile.wait(globals())
2022-11-23T01:32:37.0911332Z del async_compile
2022-11-23T01:32:37.0911338Z 
2022-11-23T01:32:37.0911407Z def call(args):
2022-11-23T01:32:37.0911481Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.0911590Z     args.clear()
2022-11-23T01:32:37.0911781Z     buf0 = empty_strided((1, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0911941Z     aten.mm.out(as_strided(arg0_1, (8, 8), (1, 8)), as_strided(arg1_1, (8, 8), (8, 1)), out=as_strided(buf0, (8, 8), (8, 1)))
2022-11-23T01:32:37.0912006Z     del arg0_1
2022-11-23T01:32:37.0912071Z     del arg1_1
2022-11-23T01:32:37.0912140Z     return (buf0, )
2022-11-23T01:32:37.0912145Z 
2022-11-23T01:32:37.0912180Z 
2022-11-23T01:32:37.0912256Z if __name__ == "__main__":
2022-11-23T01:32:37.0912368Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.0912490Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.0912681Z     arg0_1 = rand_strided((1, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0912876Z     arg1_1 = rand_strided((1, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0912990Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.0912997Z 
2022-11-23T01:32:37.0913063Z ok (0.048s)
2022-11-23T01:32:37.0913360Z   test_bool_cpu (__main__.CpuTests) ... [2022-11-23 01:15:34,762] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.0913627Z [2022-11-23 01:15:34,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.0913845Z [2022-11-23 01:15:34,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.0914098Z [2022-11-23 01:15:34,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.0914370Z [2022-11-23 01:15:34,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.0914693Z [2022-11-23 01:15:34,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.0915016Z [2022-11-23 01:15:34,763] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6468150, file "inductor/test_torchinductor.py", line 621> 
2022-11-23T01:32:37.0915107Z  623           0 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0915196Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0915270Z               4 BINARY_ADD
2022-11-23T01:32:37.0915275Z 
2022-11-23T01:32:37.0915363Z 624           6 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0915453Z               8 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0915532Z              10 BINARY_MULTIPLY
2022-11-23T01:32:37.0915537Z 
2022-11-23T01:32:37.0915611Z 625          12 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0915694Z              14 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0915766Z              16 BINARY_AND
2022-11-23T01:32:37.0915771Z 
2022-11-23T01:32:37.0915854Z 626          18 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0915938Z              20 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0916011Z              22 BINARY_OR
2022-11-23T01:32:37.0916016Z 
2022-11-23T01:32:37.0916098Z 627          24 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0916183Z              26 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0916242Z              28 BINARY_XOR
2022-11-23T01:32:37.0916247Z 
2022-11-23T01:32:37.0916340Z 628          30 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.0916443Z              32 LOAD_METHOD              1 (logical_and)
2022-11-23T01:32:37.0916527Z              34 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0916611Z              36 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0916697Z              38 CALL_METHOD              2
2022-11-23T01:32:37.0916702Z 
2022-11-23T01:32:37.0916794Z 629          40 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.0916881Z              42 LOAD_METHOD              2 (logical_or)
2022-11-23T01:32:37.0916966Z              44 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0917080Z              46 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0917311Z              48 CALL_METHOD              2
2022-11-23T01:32:37.0917316Z 
2022-11-23T01:32:37.0917407Z 630          50 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.0917506Z              52 LOAD_METHOD              3 (logical_not)
2022-11-23T01:32:37.0917593Z              54 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0917679Z              56 CALL_METHOD              1
2022-11-23T01:32:37.0917734Z 
2022-11-23T01:32:37.0917816Z 631          58 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.0917910Z              60 LOAD_METHOD              4 (sign)
2022-11-23T01:32:37.0917995Z              62 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0918079Z              64 CALL_METHOD              1
2022-11-23T01:32:37.0918165Z              66 BUILD_TUPLE              9
2022-11-23T01:32:37.0918240Z              68 RETURN_VALUE
2022-11-23T01:32:37.0918299Z  
2022-11-23T01:32:37.0918304Z 
2022-11-23T01:32:37.0918583Z [2022-11-23 01:15:34,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:623
2022-11-23T01:32:37.0918782Z [2022-11-23 01:15:34,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.0919017Z [2022-11-23 01:15:34,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:37.0919290Z [2022-11-23 01:15:34,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0919552Z [2022-11-23 01:15:34,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:624
2022-11-23T01:32:37.0919781Z [2022-11-23 01:15:34,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:37.0920045Z [2022-11-23 01:15:34,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0920354Z [2022-11-23 01:15:34,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0920621Z [2022-11-23 01:15:34,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:625
2022-11-23T01:32:37.0920883Z [2022-11-23 01:15:34,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0921162Z [2022-11-23 01:15:34,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0921489Z [2022-11-23 01:15:34,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_AND None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0921752Z [2022-11-23 01:15:34,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:626
2022-11-23T01:32:37.0922042Z [2022-11-23 01:15:34,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0922361Z [2022-11-23 01:15:34,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0922714Z [2022-11-23 01:15:34,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_OR None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0922980Z [2022-11-23 01:15:34,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:627
2022-11-23T01:32:37.0923297Z [2022-11-23 01:15:34,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0923639Z [2022-11-23 01:15:34,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0924067Z [2022-11-23 01:15:34,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_XOR None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0924328Z [2022-11-23 01:15:34,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:628
2022-11-23T01:32:37.0924700Z [2022-11-23 01:15:34,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0925224Z [2022-11-23 01:15:34,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_and [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.0925697Z [2022-11-23 01:15:34,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_and of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.0926199Z [2022-11-23 01:15:34,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_and of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.0926732Z [2022-11-23 01:15:34,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_and of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0926997Z [2022-11-23 01:15:34,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:629
2022-11-23T01:32:37.0927378Z [2022-11-23 01:15:34,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0927925Z [2022-11-23 01:15:34,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_or [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.0928427Z [2022-11-23 01:15:34,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_or of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.0928951Z [2022-11-23 01:15:34,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_or of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.0929518Z [2022-11-23 01:15:34,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_or of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0929783Z [2022-11-23 01:15:34,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:630
2022-11-23T01:32:37.0930194Z [2022-11-23 01:15:34,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0930769Z [2022-11-23 01:15:34,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.0931328Z [2022-11-23 01:15:34,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_not of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.0931913Z [2022-11-23 01:15:34,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method logical_not of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.0932178Z [2022-11-23 01:15:34,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:631
2022-11-23T01:32:37.0932614Z [2022-11-23 01:15:34,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0933214Z [2022-11-23 01:15:34,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sign [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.0933757Z [2022-11-23 01:15:34,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method sign of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.0934331Z [2022-11-23 01:15:34,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method sign of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.0934795Z [2022-11-23 01:15:34,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 9 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0935042Z [2022-11-23 01:15:34,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.0935368Z [2022-11-23 01:15:34,787] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6468150, file "inductor/test_torchinductor.py", line 621>
2022-11-23T01:32:37.0935600Z [2022-11-23 01:15:34,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.0935834Z [2022-11-23 01:15:34,787] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.0936089Z [2022-11-23 01:15:34,790] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.0936337Z [2022-11-23 01:15:34,803] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.0936526Z [2022-11-23 01:15:34,804] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.0936661Z  __compiled_fn_46 <eval_with_key>.300 opcode, name, target, args, kwargs
2022-11-23T01:32:37.0936754Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.0936839Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.0937004Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.0937179Z call_function, mul, <built-in function mul>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.0937354Z call_function, and_, <built-in function and_>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.0937531Z call_function, or_, <built-in function or_>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.0937702Z call_function, xor, <built-in function xor>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.0937992Z call_function, logical_and, <built-in method logical_and of type object at 0x7f71f2abebc0>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.0938244Z call_function, logical_or, <built-in method logical_or of type object at 0x7f71f2abebc0>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.0938490Z call_function, logical_not, <built-in method logical_not of type object at 0x7f71f2abebc0>, (ex_0_,), {}
2022-11-23T01:32:37.0938742Z call_function, sign, <built-in method sign of type object at 0x7f71f2abebc0>, (ex_1_,), {}
2022-11-23T01:32:37.0938907Z output, output, output, ((add, mul, and_, or_, xor, logical_and, logical_or, logical_not, sign),), {}
2022-11-23T01:32:37.0938913Z 
2022-11-23T01:32:37.0939192Z [2022-11-23 01:15:34,805] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0939286Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.0939381Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0939477Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.0939565Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.0939641Z               8 RETURN_VALUE
2022-11-23T01:32:37.0939646Z 
2022-11-23T01:32:37.0939707Z  
2022-11-23T01:32:37.0939966Z [2022-11-23 01:15:34,805] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0940076Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_46)
2022-11-23T01:32:37.0940167Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0940256Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0940332Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.0940420Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0940507Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0940569Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.0940658Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.0940763Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.0940863Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0940953Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0941026Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.0941124Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0941198Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0941276Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.0941486Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0941574Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:37.0941647Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.0941746Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0941833Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:37.0941895Z              40 BINARY_SUBSCR
2022-11-23T01:32:37.0941992Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0942077Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:37.0942151Z              46 BINARY_SUBSCR
2022-11-23T01:32:37.0942252Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0942337Z              50 LOAD_CONST               6 (5)
2022-11-23T01:32:37.0942411Z              52 BINARY_SUBSCR
2022-11-23T01:32:37.0942497Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0942583Z              56 LOAD_CONST               7 (6)
2022-11-23T01:32:37.0942656Z              58 BINARY_SUBSCR
2022-11-23T01:32:37.0942751Z              60 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0942837Z              62 LOAD_CONST               8 (7)
2022-11-23T01:32:37.0942910Z              64 BINARY_SUBSCR
2022-11-23T01:32:37.0943008Z              66 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0943092Z              68 LOAD_CONST               9 (8)
2022-11-23T01:32:37.0943194Z              70 BINARY_SUBSCR
2022-11-23T01:32:37.0943281Z              72 BUILD_TUPLE              9
2022-11-23T01:32:37.0943356Z              74 RETURN_VALUE
2022-11-23T01:32:37.0943363Z 
2022-11-23T01:32:37.0943423Z  
2022-11-23T01:32:37.0943608Z [2022-11-23 01:15:34,806] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.0943678Z  - 
2022-11-23T01:32:37.0943795Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.0943877Z             {
2022-11-23T01:32:37.0944020Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.0944208Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.0944327Z                 'obj_weakref': None
2022-11-23T01:32:37.0944631Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.0944696Z             }
2022-11-23T01:32:37.0944760Z             
2022-11-23T01:32:37.0944817Z  - 
2022-11-23T01:32:37.0944943Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.0945005Z             {
2022-11-23T01:32:37.0945148Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0945254Z                 'code': None,
2022-11-23T01:32:37.0945460Z                 'obj_weakref': <weakref at 0x7f71062ac3b0; to 'Tensor' at 0x7f71c25f3ef0>
2022-11-23T01:32:37.0945709Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0945761Z             }
2022-11-23T01:32:37.0945824Z             
2022-11-23T01:32:37.0945893Z  - 
2022-11-23T01:32:37.0946014Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.0946077Z             {
2022-11-23T01:32:37.0946217Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.0946322Z                 'code': None,
2022-11-23T01:32:37.0946513Z                 'obj_weakref': <weakref at 0x7f71066f88f0; to 'Tensor' at 0x7f710674b0b0>
2022-11-23T01:32:37.0946757Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.0946826Z             }
2022-11-23T01:32:37.0946888Z             
2022-11-23T01:32:37.0946956Z  - 
2022-11-23T01:32:37.0947085Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.0947148Z             {
2022-11-23T01:32:37.0947268Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.0947437Z                 'code': ['___check_obj_id(model, 140124010905472)'],
2022-11-23T01:32:37.0947558Z                 'obj_weakref': None
2022-11-23T01:32:37.0947785Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.0947848Z             }
2022-11-23T01:32:37.0947910Z             
2022-11-23T01:32:37.0947979Z  - 
2022-11-23T01:32:37.0948086Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.0948149Z             {
2022-11-23T01:32:37.0948283Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.0948501Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.0948618Z                 'obj_weakref': None
2022-11-23T01:32:37.0948835Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.0948898Z             }
2022-11-23T01:32:37.0948947Z             
2022-11-23T01:32:37.0949016Z  - 
2022-11-23T01:32:37.0949152Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.0949217Z             {
2022-11-23T01:32:37.0949334Z                 'guard_types': None,
2022-11-23T01:32:37.0949439Z                 'code': None,
2022-11-23T01:32:37.0949555Z                 'obj_weakref': None
2022-11-23T01:32:37.0949661Z                 'guarded_class': None
2022-11-23T01:32:37.0949722Z             }
2022-11-23T01:32:37.0949787Z             
2022-11-23T01:32:37.0950041Z [2022-11-23 01:15:34,829] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 45
2022-11-23T01:32:37.0950462Z [2022-11-23 01:15:37,380] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kt/ckt4qzvf5zltzjqaannk5teyxlbcvvdecgwogvf5hratq7oi6ujt.py
2022-11-23T01:32:37.0950724Z [2022-11-23 01:15:37,380] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 45
2022-11-23T01:32:37.0950730Z 
2022-11-23T01:32:37.0950823Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.0950891Z import torch
2022-11-23T01:32:37.0950946Z import random
2022-11-23T01:32:37.0951087Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.0951208Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.0951214Z 
2022-11-23T01:32:37.0951291Z aten = torch.ops.aten
2022-11-23T01:32:37.0951423Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.0951514Z async_compile = AsyncCompile()
2022-11-23T01:32:37.0951519Z 
2022-11-23T01:32:37.0951524Z 
2022-11-23T01:32:37.0951657Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.0951850Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.0951969Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T01:32:37.0952072Z                        const bool* __restrict__ in_ptr1,
2022-11-23T01:32:37.0952171Z                        bool* __restrict__ out_ptr0,
2022-11-23T01:32:37.0952263Z                        bool* __restrict__ out_ptr1,
2022-11-23T01:32:37.0952357Z                        bool* __restrict__ out_ptr2,
2022-11-23T01:32:37.0952447Z                        bool* __restrict__ out_ptr3,
2022-11-23T01:32:37.0952540Z                        bool* __restrict__ out_ptr4,
2022-11-23T01:32:37.0952619Z                        bool* __restrict__ out_ptr5,
2022-11-23T01:32:37.0952708Z                        bool* __restrict__ out_ptr6,
2022-11-23T01:32:37.0952796Z                        bool* __restrict__ out_ptr7,
2022-11-23T01:32:37.0952885Z                        bool* __restrict__ out_ptr8)
2022-11-23T01:32:37.0952947Z {
2022-11-23T01:32:37.0953045Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.0953108Z     {
2022-11-23T01:32:37.0953171Z         #pragma omp for 
2022-11-23T01:32:37.0953253Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.0953315Z         {
2022-11-23T01:32:37.0953376Z             {
2022-11-23T01:32:37.0953440Z                 {
2022-11-23T01:32:37.0953533Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.0953623Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:37.0953702Z                     auto tmp2 = tmp0 || tmp1;
2022-11-23T01:32:37.0953791Z                     auto tmp3 = tmp0 && tmp1;
2022-11-23T01:32:37.0953882Z                     auto tmp4 = tmp0 & tmp1;
2022-11-23T01:32:37.0953970Z                     auto tmp5 = tmp0 | tmp1;
2022-11-23T01:32:37.0954054Z                     auto tmp6 = tmp0 ^ tmp1;
2022-11-23T01:32:37.0954141Z                     auto tmp7 = tmp0 == 0;
2022-11-23T01:32:37.0954224Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.0954297Z                     out_ptr1[i0] = tmp3;
2022-11-23T01:32:37.0954376Z                     out_ptr2[i0] = tmp4;
2022-11-23T01:32:37.0954456Z                     out_ptr3[i0] = tmp5;
2022-11-23T01:32:37.0954536Z                     out_ptr4[i0] = tmp6;
2022-11-23T01:32:37.0954616Z                     out_ptr5[i0] = tmp3;
2022-11-23T01:32:37.0954697Z                     out_ptr6[i0] = tmp2;
2022-11-23T01:32:37.0954779Z                     out_ptr7[i0] = tmp7;
2022-11-23T01:32:37.0954845Z                     out_ptr8[i0] = tmp1;
2022-11-23T01:32:37.0954909Z                 }
2022-11-23T01:32:37.0954974Z             }
2022-11-23T01:32:37.0955037Z         }
2022-11-23T01:32:37.0955099Z     }
2022-11-23T01:32:37.0955157Z }
2022-11-23T01:32:37.0955222Z ''')
2022-11-23T01:32:37.0955226Z 
2022-11-23T01:32:37.0955243Z 
2022-11-23T01:32:37.0955320Z async_compile.wait(globals())
2022-11-23T01:32:37.0955391Z del async_compile
2022-11-23T01:32:37.0955395Z 
2022-11-23T01:32:37.0955498Z def call(args):
2022-11-23T01:32:37.0955573Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.0955644Z     args.clear()
2022-11-23T01:32:37.0955832Z     buf0 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.0956017Z     buf1 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.0956186Z     buf2 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.0956392Z     buf3 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.0956575Z     buf4 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.0956755Z     buf5 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.0956933Z     buf6 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.0957227Z     buf7 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.0957470Z     buf8 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.0957825Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()))
2022-11-23T01:32:37.0957881Z     del arg0_1
2022-11-23T01:32:37.0957946Z     del arg1_1
2022-11-23T01:32:37.0958066Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, )
2022-11-23T01:32:37.0958072Z 
2022-11-23T01:32:37.0958076Z 
2022-11-23T01:32:37.0958152Z if __name__ == "__main__":
2022-11-23T01:32:37.0958266Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.0958388Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.0958574Z     arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.0958756Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.0958861Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.0958880Z 
2022-11-23T01:32:37.0958934Z ok (2.629s)
2022-11-23T01:32:37.0959249Z   test_both_scalars_cpu (__main__.CpuTests) ... [2022-11-23 01:15:37,391] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.0959518Z [2022-11-23 01:15:37,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.0959737Z [2022-11-23 01:15:37,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.0959988Z [2022-11-23 01:15:37,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.0960272Z [2022-11-23 01:15:37,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.0960596Z [2022-11-23 01:15:37,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.0960922Z [2022-11-23 01:15:37,392] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f647b300, file "inductor/test_torchinductor.py", line 1211> 
2022-11-23T01:32:37.0961018Z  1213           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.0961098Z                2 LOAD_METHOD              1 (add)
2022-11-23T01:32:37.0961190Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0961281Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0961369Z                8 CALL_METHOD              2
2022-11-23T01:32:37.0961374Z 
2022-11-23T01:32:37.0961468Z 1214          10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.0961559Z               12 LOAD_METHOD              1 (add)
2022-11-23T01:32:37.0961647Z               14 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0961722Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0961810Z               18 CALL_METHOD              2
2022-11-23T01:32:37.0961876Z 
2022-11-23T01:32:37.0961968Z 1215          20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.0962057Z               22 LOAD_METHOD              2 (sub)
2022-11-23T01:32:37.0962144Z               24 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0962231Z               26 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0962318Z               28 CALL_METHOD              2
2022-11-23T01:32:37.0962323Z 
2022-11-23T01:32:37.0962451Z 1216          30 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.0962530Z               32 LOAD_METHOD              2 (sub)
2022-11-23T01:32:37.0962617Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0962703Z               36 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0962791Z               38 CALL_METHOD              2
2022-11-23T01:32:37.0962796Z 
2022-11-23T01:32:37.0962888Z 1217          40 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.0962976Z               42 LOAD_METHOD              3 (mul)
2022-11-23T01:32:37.0963066Z               44 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0963151Z               46 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0963225Z               48 CALL_METHOD              2
2022-11-23T01:32:37.0963229Z 
2022-11-23T01:32:37.0963319Z 1218          50 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.0963409Z               52 LOAD_METHOD              3 (mul)
2022-11-23T01:32:37.0963498Z               54 LOAD_FAST                1 (b)
2022-11-23T01:32:37.0963582Z               56 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0963668Z               58 CALL_METHOD              2
2022-11-23T01:32:37.0963756Z               60 BUILD_TUPLE              6
2022-11-23T01:32:37.0963820Z               62 RETURN_VALUE
2022-11-23T01:32:37.0963881Z  
2022-11-23T01:32:37.0963886Z 
2022-11-23T01:32:37.0964160Z [2022-11-23 01:15:37,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1213
2022-11-23T01:32:37.0964380Z [2022-11-23 01:15:37,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.0964685Z [2022-11-23 01:15:37,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.0964929Z [2022-11-23 01:15:37,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.add)]
2022-11-23T01:32:37.0965216Z [2022-11-23 01:15:37,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.add), ConstantVariable(int)]
2022-11-23T01:32:37.0965546Z [2022-11-23 01:15:37,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.add), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:32:37.0965812Z [2022-11-23 01:15:37,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1214
2022-11-23T01:32:37.0966044Z [2022-11-23 01:15:37,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.0966377Z [2022-11-23 01:15:37,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.0966649Z [2022-11-23 01:15:37,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.add)]
2022-11-23T01:32:37.0966967Z [2022-11-23 01:15:37,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.add), ConstantVariable(float)]
2022-11-23T01:32:37.0967325Z [2022-11-23 01:15:37,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.add), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:37.0967592Z [2022-11-23 01:15:37,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1215
2022-11-23T01:32:37.0967860Z [2022-11-23 01:15:37,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0968248Z [2022-11-23 01:15:37,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.0968552Z [2022-11-23 01:15:37,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.sub)]
2022-11-23T01:32:37.0968918Z [2022-11-23 01:15:37,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(int)]
2022-11-23T01:32:37.0969306Z [2022-11-23 01:15:37,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:32:37.0969573Z [2022-11-23 01:15:37,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1216
2022-11-23T01:32:37.0969865Z [2022-11-23 01:15:37,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0970248Z [2022-11-23 01:15:37,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.0970576Z [2022-11-23 01:15:37,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.sub)]
2022-11-23T01:32:37.0970946Z [2022-11-23 01:15:37,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(float)]
2022-11-23T01:32:37.0971360Z [2022-11-23 01:15:37,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:37.0971624Z [2022-11-23 01:15:37,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1217
2022-11-23T01:32:37.0971947Z [2022-11-23 01:15:37,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0972360Z [2022-11-23 01:15:37,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.0972714Z [2022-11-23 01:15:37,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul)]
2022-11-23T01:32:37.0973106Z [2022-11-23 01:15:37,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(int)]
2022-11-23T01:32:37.0973551Z [2022-11-23 01:15:37,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:32:37.0973813Z [2022-11-23 01:15:37,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1218
2022-11-23T01:32:37.0974170Z [2022-11-23 01:15:37,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0974600Z [2022-11-23 01:15:37,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.0974984Z [2022-11-23 01:15:37,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul)]
2022-11-23T01:32:37.0975443Z [2022-11-23 01:15:37,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(float)]
2022-11-23T01:32:37.0975943Z [2022-11-23 01:15:37,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:37.0976322Z [2022-11-23 01:15:37,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 6 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.0976569Z [2022-11-23 01:15:37,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.0976898Z [2022-11-23 01:15:37,474] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f647b300, file "inductor/test_torchinductor.py", line 1211>
2022-11-23T01:32:37.0977143Z [2022-11-23 01:15:37,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.0977374Z [2022-11-23 01:15:37,475] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.0977627Z [2022-11-23 01:15:37,477] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.0977874Z [2022-11-23 01:15:37,487] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.0978060Z [2022-11-23 01:15:37,488] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.0978180Z  __compiled_fn_47 <eval_with_key>.306 opcode, name, target, args, kwargs
2022-11-23T01:32:37.0978279Z call_function, add, aten.add, (4, 3.3), {}
2022-11-23T01:32:37.0978382Z call_function, add_1, aten.add, (3.3, 4), {}
2022-11-23T01:32:37.0978477Z call_function, sub, aten.sub, (4, 3.3), {}
2022-11-23T01:32:37.0978575Z call_function, sub_1, aten.sub, (3.3, 4), {}
2022-11-23T01:32:37.0978669Z call_function, mul, aten.mul, (4, 3.3), {}
2022-11-23T01:32:37.0978764Z call_function, mul_1, aten.mul, (3.3, 4), {}
2022-11-23T01:32:37.0978877Z output, output, output, ((add, add_1, sub, sub_1, mul, mul_1),), {}
2022-11-23T01:32:37.0978895Z 
2022-11-23T01:32:37.0979161Z [2022-11-23 01:15:37,488] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0979256Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.0979347Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.0979441Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.0979529Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.0979604Z               8 RETURN_VALUE
2022-11-23T01:32:37.0979611Z 
2022-11-23T01:32:37.0979672Z  
2022-11-23T01:32:37.0979930Z [2022-11-23 01:15:37,488] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.0980037Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_47)
2022-11-23T01:32:37.0980123Z               2 CALL_FUNCTION            0
2022-11-23T01:32:37.0980226Z               4 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.0980329Z               6 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0980417Z               8 LOAD_CONST               1 (0)
2022-11-23T01:32:37.0980494Z              10 BINARY_SUBSCR
2022-11-23T01:32:37.0980593Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0980669Z              14 LOAD_CONST               2 (1)
2022-11-23T01:32:37.0980742Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.0980843Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0980930Z              20 LOAD_CONST               3 (2)
2022-11-23T01:32:37.0981043Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.0981141Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0981227Z              26 LOAD_CONST               4 (3)
2022-11-23T01:32:37.0981289Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.0981388Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0981475Z              32 LOAD_CONST               5 (4)
2022-11-23T01:32:37.0981587Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.0981686Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.0981771Z              38 LOAD_CONST               6 (5)
2022-11-23T01:32:37.0981845Z              40 BINARY_SUBSCR
2022-11-23T01:32:37.0981919Z              42 BUILD_TUPLE              6
2022-11-23T01:32:37.0981995Z              44 RETURN_VALUE
2022-11-23T01:32:37.0982000Z 
2022-11-23T01:32:37.0982059Z  
2022-11-23T01:32:37.0982244Z [2022-11-23 01:15:37,490] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.0982317Z  - 
2022-11-23T01:32:37.0982435Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.0982499Z             {
2022-11-23T01:32:37.0982628Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.0982814Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.0982933Z                 'obj_weakref': None
2022-11-23T01:32:37.0983161Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.0983226Z             }
2022-11-23T01:32:37.0983288Z             
2022-11-23T01:32:37.0983358Z  - 
2022-11-23T01:32:37.0983476Z             local 'ex[0]' CONSTANT_MATCH
2022-11-23T01:32:37.0983537Z             {
2022-11-23T01:32:37.0983678Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.0983861Z                 'code': ['___check_type_id(ex[0], 94279403915040)', 'ex[0] == 4'],
2022-11-23T01:32:37.0983978Z                 'obj_weakref': None
2022-11-23T01:32:37.0984199Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:37.0984262Z             }
2022-11-23T01:32:37.0984312Z             
2022-11-23T01:32:37.0984380Z  - 
2022-11-23T01:32:37.0984605Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:37.0984671Z             {
2022-11-23T01:32:37.0984815Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.0985004Z                 'code': ['___check_type_id(ex[1], 94279403921984)', 'ex[1] == 3.3'],
2022-11-23T01:32:37.0985121Z                 'obj_weakref': None
2022-11-23T01:32:37.0985322Z                 'guarded_class': <weakref at 0x7f71f6694290; to 'type' at 0x55bf22616240 (float)>
2022-11-23T01:32:37.0985385Z             }
2022-11-23T01:32:37.0985446Z             
2022-11-23T01:32:37.0985514Z  - 
2022-11-23T01:32:37.0985641Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.0985703Z             {
2022-11-23T01:32:37.0985837Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.0985995Z                 'code': ['___check_obj_id(model, 140123913543904)'],
2022-11-23T01:32:37.0986110Z                 'obj_weakref': None
2022-11-23T01:32:37.0986333Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.0986396Z             }
2022-11-23T01:32:37.0986459Z             
2022-11-23T01:32:37.0986526Z  - 
2022-11-23T01:32:37.0986648Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.0986699Z             {
2022-11-23T01:32:37.0986835Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.0987050Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.0987166Z                 'obj_weakref': None
2022-11-23T01:32:37.0987382Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.0987444Z             }
2022-11-23T01:32:37.0987545Z             
2022-11-23T01:32:37.0987600Z  - 
2022-11-23T01:32:37.0987730Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.0987793Z             {
2022-11-23T01:32:37.0987911Z                 'guard_types': None,
2022-11-23T01:32:37.0988017Z                 'code': None,
2022-11-23T01:32:37.0988132Z                 'obj_weakref': None
2022-11-23T01:32:37.0988252Z                 'guarded_class': None
2022-11-23T01:32:37.0988302Z             }
2022-11-23T01:32:37.0988362Z             
2022-11-23T01:32:37.0988657Z [2022-11-23 01:15:37,505] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 46
2022-11-23T01:32:37.0989029Z [2022-11-23 01:15:40,018] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dc/cdcffw6ibuvqyqttn5z6fbona4tlfzxg344nzv5rulpzccbtg335.py
2022-11-23T01:32:37.0989297Z [2022-11-23 01:15:40,019] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 46
2022-11-23T01:32:37.0989303Z 
2022-11-23T01:32:37.0989399Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.0989468Z import torch
2022-11-23T01:32:37.0989538Z import random
2022-11-23T01:32:37.0989639Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.0989760Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.0989765Z 
2022-11-23T01:32:37.0989844Z aten = torch.ops.aten
2022-11-23T01:32:37.0989977Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.0990069Z async_compile = AsyncCompile()
2022-11-23T01:32:37.0990075Z 
2022-11-23T01:32:37.0990079Z 
2022-11-23T01:32:37.0990211Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.0990416Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.0990529Z extern "C" void kernel(float* __restrict__ out_ptr0,
2022-11-23T01:32:37.0990612Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.0990704Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:37.0990799Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:37.0990892Z                        float* __restrict__ out_ptr4,
2022-11-23T01:32:37.0990983Z                        float* __restrict__ out_ptr5)
2022-11-23T01:32:37.0991042Z {
2022-11-23T01:32:37.0991105Z     {
2022-11-23T01:32:37.0991156Z         {
2022-11-23T01:32:37.0991254Z             auto tmp0 = static_cast<float>(4);
2022-11-23T01:32:37.0991356Z             auto tmp1 = static_cast<float>(3.3);
2022-11-23T01:32:37.0991445Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.0991524Z             out_ptr0[0] = tmp2;
2022-11-23T01:32:37.0991587Z         }
2022-11-23T01:32:37.0991635Z     }
2022-11-23T01:32:37.0991695Z     {
2022-11-23T01:32:37.0991756Z         {
2022-11-23T01:32:37.0991855Z             auto tmp0 = static_cast<float>(3.3);
2022-11-23T01:32:37.0991953Z             auto tmp1 = static_cast<float>(4);
2022-11-23T01:32:37.0992037Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.0992116Z             out_ptr1[0] = tmp2;
2022-11-23T01:32:37.0992165Z         }
2022-11-23T01:32:37.0992225Z     }
2022-11-23T01:32:37.0992286Z     {
2022-11-23T01:32:37.0992347Z         {
2022-11-23T01:32:37.0992444Z             auto tmp0 = static_cast<float>(4);
2022-11-23T01:32:37.0992544Z             auto tmp1 = static_cast<float>(3.3);
2022-11-23T01:32:37.0992666Z             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.0992730Z             out_ptr2[0] = tmp2;
2022-11-23T01:32:37.0992791Z         }
2022-11-23T01:32:37.0992856Z     }
2022-11-23T01:32:37.0992917Z     {
2022-11-23T01:32:37.0992978Z         {
2022-11-23T01:32:37.0993077Z             auto tmp0 = static_cast<float>(3.3);
2022-11-23T01:32:37.0993161Z             auto tmp1 = static_cast<float>(4);
2022-11-23T01:32:37.0993284Z             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.0993361Z             out_ptr3[0] = tmp2;
2022-11-23T01:32:37.0993424Z         }
2022-11-23T01:32:37.0993483Z     }
2022-11-23T01:32:37.0993543Z     {
2022-11-23T01:32:37.0993638Z         {
2022-11-23T01:32:37.0993723Z             auto tmp0 = static_cast<float>(4);
2022-11-23T01:32:37.0993821Z             auto tmp1 = static_cast<float>(3.3);
2022-11-23T01:32:37.0993905Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:37.0993982Z             out_ptr4[0] = tmp2;
2022-11-23T01:32:37.0994049Z         }
2022-11-23T01:32:37.0994112Z     }
2022-11-23T01:32:37.0994173Z     {
2022-11-23T01:32:37.0994220Z         {
2022-11-23T01:32:37.0994346Z             auto tmp0 = static_cast<float>(3.3);
2022-11-23T01:32:37.0994448Z             auto tmp1 = static_cast<float>(4);
2022-11-23T01:32:37.0994531Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:37.0994607Z             out_ptr5[0] = tmp2;
2022-11-23T01:32:37.0994668Z         }
2022-11-23T01:32:37.0994716Z     }
2022-11-23T01:32:37.0994775Z }
2022-11-23T01:32:37.0994853Z ''')
2022-11-23T01:32:37.0994858Z 
2022-11-23T01:32:37.0994862Z 
2022-11-23T01:32:37.0994951Z async_compile.wait(globals())
2022-11-23T01:32:37.0995023Z del async_compile
2022-11-23T01:32:37.0995031Z 
2022-11-23T01:32:37.0995100Z def call(args):
2022-11-23T01:32:37.0995286Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0995464Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0995625Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0995803Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0995981Z     buf4 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0996156Z     buf5 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.0996390Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()))
2022-11-23T01:32:37.0996493Z     return (buf0, buf1, buf2, buf3, buf4, buf5, )
2022-11-23T01:32:37.0996497Z 
2022-11-23T01:32:37.0996502Z 
2022-11-23T01:32:37.0996579Z if __name__ == "__main__":
2022-11-23T01:32:37.0996691Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.0996800Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.0996899Z     print_performance(lambda: call([]))
2022-11-23T01:32:37.0996904Z 
2022-11-23T01:32:37.0996970Z ok (2.640s)
2022-11-23T01:32:37.0997395Z   test_cat_cpu (__main__.CpuTests) ... [2022-11-23 01:15:40,033] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.0997667Z [2022-11-23 01:15:40,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.0997882Z [2022-11-23 01:15:40,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.0998135Z [2022-11-23 01:15:40,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.0998416Z [2022-11-23 01:15:40,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.0998740Z [2022-11-23 01:15:40,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.0999059Z [2022-11-23 01:15:40,034] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f641e030, file "inductor/test_torchinductor.py", line 2553> 
2022-11-23T01:32:37.0999141Z  2554           0 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0999233Z                2 LOAD_CONST               1 (2)
2022-11-23T01:32:37.0999314Z                4 BINARY_MULTIPLY
2022-11-23T01:32:37.0999407Z                6 STORE_FAST               1 (tmp)
2022-11-23T01:32:37.0999412Z 
2022-11-23T01:32:37.0999506Z 2556           8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.0999597Z               10 LOAD_METHOD              1 (cat)
2022-11-23T01:32:37.0999687Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0999816Z               14 LOAD_FAST                0 (a)
2022-11-23T01:32:37.0999908Z               16 LOAD_CONST               0 (None)
2022-11-23T01:32:37.0999997Z               18 LOAD_CONST               0 (None)
2022-11-23T01:32:37.1000084Z               20 BUILD_SLICE              2
2022-11-23T01:32:37.1000175Z               22 LOAD_CONST               0 (None)
2022-11-23T01:32:37.1000262Z               24 LOAD_CONST               2 (4)
2022-11-23T01:32:37.1000383Z               26 BUILD_SLICE              2
2022-11-23T01:32:37.1000470Z               28 BUILD_TUPLE              2
2022-11-23T01:32:37.1000535Z               30 BINARY_SUBSCR
2022-11-23T01:32:37.1000623Z               32 LOAD_CONST               3 (1)
2022-11-23T01:32:37.1000697Z               34 BINARY_ADD
2022-11-23T01:32:37.1000787Z               36 LOAD_FAST                0 (a)
2022-11-23T01:32:37.1000870Z               38 LOAD_CONST               1 (2)
2022-11-23T01:32:37.1000941Z               40 BINARY_ADD
2022-11-23T01:32:37.1001029Z               42 BUILD_TUPLE              3
2022-11-23T01:32:37.1001154Z               44 LOAD_CONST               4 (-1)
2022-11-23T01:32:37.1001240Z               46 CALL_METHOD              2
2022-11-23T01:32:37.1001245Z 
2022-11-23T01:32:37.1001336Z 2557          48 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.1001428Z               50 LOAD_METHOD              1 (cat)
2022-11-23T01:32:37.1001517Z               52 LOAD_FAST                1 (tmp)
2022-11-23T01:32:37.1001609Z               54 LOAD_FAST                1 (tmp)
2022-11-23T01:32:37.1001695Z               56 BUILD_TUPLE              2
2022-11-23T01:32:37.1001770Z               58 LOAD_CONST               5 (0)
2022-11-23T01:32:37.1001855Z               60 CALL_METHOD              2
2022-11-23T01:32:37.1001860Z 
2022-11-23T01:32:37.1001952Z 2558          62 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.1002040Z               64 LOAD_METHOD              1 (cat)
2022-11-23T01:32:37.1002128Z               66 LOAD_FAST                1 (tmp)
2022-11-23T01:32:37.1002217Z               68 LOAD_FAST                1 (tmp)
2022-11-23T01:32:37.1002314Z               70 LOAD_METHOD              2 (double)
2022-11-23T01:32:37.1002399Z               72 CALL_METHOD              0
2022-11-23T01:32:37.1002471Z               74 BUILD_TUPLE              2
2022-11-23T01:32:37.1002559Z               76 LOAD_CONST               5 (0)
2022-11-23T01:32:37.1002643Z               78 CALL_METHOD              2
2022-11-23T01:32:37.1002732Z               80 BUILD_TUPLE              3
2022-11-23T01:32:37.1002807Z               82 RETURN_VALUE
2022-11-23T01:32:37.1002868Z  
2022-11-23T01:32:37.1002873Z 
2022-11-23T01:32:37.1003143Z [2022-11-23 01:15:40,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2554
2022-11-23T01:32:37.1003341Z [2022-11-23 01:15:40,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.1003579Z [2022-11-23 01:15:40,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:37.1003873Z [2022-11-23 01:15:40,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1004113Z [2022-11-23 01:15:40,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()]
2022-11-23T01:32:37.1004379Z [2022-11-23 01:15:40,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2556
2022-11-23T01:32:37.1004597Z [2022-11-23 01:15:40,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.1004956Z [2022-11-23 01:15:40,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.1005274Z [2022-11-23 01:15:40,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.1005647Z [2022-11-23 01:15:40,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.1006023Z [2022-11-23 01:15:40,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.1006483Z [2022-11-23 01:15:40,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.1006940Z [2022-11-23 01:15:40,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:37.1007342Z [2022-11-23 01:15:40,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:37.1007790Z [2022-11-23 01:15:40,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.1008280Z [2022-11-23 01:15:40,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:37.1008710Z [2022-11-23 01:15:40,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:37.1009120Z [2022-11-23 01:15:40,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.1009493Z [2022-11-23 01:15:40,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.1009910Z [2022-11-23 01:15:40,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1010280Z [2022-11-23 01:15:40,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.1010680Z [2022-11-23 01:15:40,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.1011122Z [2022-11-23 01:15:40,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1011527Z [2022-11-23 01:15:40,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.1011869Z [2022-11-23 01:15:40,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TupleVariable()]
2022-11-23T01:32:37.1012251Z [2022-11-23 01:15:40,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1012550Z [2022-11-23 01:15:40,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2557
2022-11-23T01:32:37.1012793Z [2022-11-23 01:15:40,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.1013197Z [2022-11-23 01:15:40,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.1013543Z [2022-11-23 01:15:40,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.1013916Z [2022-11-23 01:15:40,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.1014318Z [2022-11-23 01:15:40,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.1014693Z [2022-11-23 01:15:40,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TupleVariable()]
2022-11-23T01:32:37.1015109Z [2022-11-23 01:15:40,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1015373Z [2022-11-23 01:15:40,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2558
2022-11-23T01:32:37.1015642Z [2022-11-23 01:15:40,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.1016059Z [2022-11-23 01:15:40,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.1016431Z [2022-11-23 01:15:40,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.1016833Z [2022-11-23 01:15:40,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.1017272Z [2022-11-23 01:15:40,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR double [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.1017749Z [2022-11-23 01:15:40,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TensorVariable(), GetAttrVariable(TensorVariable(), double)]
2022-11-23T01:32:37.1018184Z [2022-11-23 01:15:40,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.1018584Z [2022-11-23 01:15:40,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TupleVariable()]
2022-11-23T01:32:37.1019029Z [2022-11-23 01:15:40,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1019312Z [2022-11-23 01:15:40,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.1019592Z [2022-11-23 01:15:40,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1019920Z [2022-11-23 01:15:40,058] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f641e030, file "inductor/test_torchinductor.py", line 2553>
2022-11-23T01:32:37.1020197Z [2022-11-23 01:15:40,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1020433Z [2022-11-23 01:15:40,058] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1020683Z [2022-11-23 01:15:40,060] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1020930Z [2022-11-23 01:15:40,074] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1021117Z [2022-11-23 01:15:40,075] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1021255Z  __compiled_fn_48 <eval_with_key>.312 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1021331Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1021503Z call_function, mul, <built-in function mul>, (ex_0_, 2), {}
2022-11-23T01:32:37.1021755Z call_function, getitem, <built-in function getitem>, (ex_0_, (slice(None, None, None), slice(None, 4, None))), {}
2022-11-23T01:32:37.1021935Z call_function, add, <built-in function add>, (getitem, 1), {}
2022-11-23T01:32:37.1022107Z call_function, add_1, <built-in function add>, (ex_0_, 2), {}
2022-11-23T01:32:37.1022351Z call_function, cat, <built-in method cat of type object at 0x7f71f2abebc0>, ((ex_0_, add, add_1), -1), {}
2022-11-23T01:32:37.1022583Z call_function, cat_1, <built-in method cat of type object at 0x7f71f2abebc0>, ((mul, mul), 0), {}
2022-11-23T01:32:37.1022680Z call_method, double, double, (mul,), {}
2022-11-23T01:32:37.1022906Z call_function, cat_2, <built-in method cat of type object at 0x7f71f2abebc0>, ((mul, double), 0), {}
2022-11-23T01:32:37.1023016Z output, output, output, ((cat, cat_1, cat_2),), {}
2022-11-23T01:32:37.1023022Z 
2022-11-23T01:32:37.1023300Z [2022-11-23 01:15:40,075] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1023397Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1023488Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1023582Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1023672Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1023748Z               8 RETURN_VALUE
2022-11-23T01:32:37.1023753Z 
2022-11-23T01:32:37.1023800Z  
2022-11-23T01:32:37.1024076Z [2022-11-23 01:15:40,076] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1024182Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_48)
2022-11-23T01:32:37.1024270Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1024363Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1024518Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1024615Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1024717Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.1024805Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1024893Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1024972Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.1025074Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1025160Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.1025235Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.1025334Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1025408Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:37.1025483Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.1025610Z              30 BUILD_TUPLE              3
2022-11-23T01:32:37.1025685Z              32 RETURN_VALUE
2022-11-23T01:32:37.1025691Z 
2022-11-23T01:32:37.1025752Z  
2022-11-23T01:32:37.1025948Z [2022-11-23 01:15:40,077] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1026017Z  - 
2022-11-23T01:32:37.1026176Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1026240Z             {
2022-11-23T01:32:37.1026381Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1026609Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1026762Z                 'obj_weakref': None
2022-11-23T01:32:37.1026985Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1027050Z             }
2022-11-23T01:32:37.1027100Z             
2022-11-23T01:32:37.1027168Z  - 
2022-11-23T01:32:37.1027294Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1027357Z             {
2022-11-23T01:32:37.1027499Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1027606Z                 'code': None,
2022-11-23T01:32:37.1027813Z                 'obj_weakref': <weakref at 0x7f71066e47d0; to 'Tensor' at 0x7f710674b0b0>
2022-11-23T01:32:37.1028049Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1028114Z             }
2022-11-23T01:32:37.1028176Z             
2022-11-23T01:32:37.1028248Z  - 
2022-11-23T01:32:37.1028379Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.1028443Z             {
2022-11-23T01:32:37.1028577Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1028733Z                 'code': ['___check_obj_id(model, 140123913544480)'],
2022-11-23T01:32:37.1028851Z                 'obj_weakref': None
2022-11-23T01:32:37.1029078Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.1029145Z             }
2022-11-23T01:32:37.1029207Z             
2022-11-23T01:32:37.1029274Z  - 
2022-11-23T01:32:37.1029394Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1029444Z             {
2022-11-23T01:32:37.1029580Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1029797Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1029915Z                 'obj_weakref': None
2022-11-23T01:32:37.1030135Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1030198Z             }
2022-11-23T01:32:37.1030262Z             
2022-11-23T01:32:37.1030317Z  - 
2022-11-23T01:32:37.1030450Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.1030515Z             {
2022-11-23T01:32:37.1030634Z                 'guard_types': None,
2022-11-23T01:32:37.1030740Z                 'code': None,
2022-11-23T01:32:37.1030856Z                 'obj_weakref': None
2022-11-23T01:32:37.1030977Z                 'guarded_class': None
2022-11-23T01:32:37.1031027Z             }
2022-11-23T01:32:37.1031090Z             
2022-11-23T01:32:37.1031347Z [2022-11-23 01:15:40,098] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 47
2022-11-23T01:32:37.1031716Z [2022-11-23 01:15:42,724] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4j/c4j3i3xxu4ggzxjfmciu3pycdesbtftoqfq65ykukgbf5o4jduhv.py
2022-11-23T01:32:37.1031978Z [2022-11-23 01:15:42,724] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 47
2022-11-23T01:32:37.1031983Z 
2022-11-23T01:32:37.1032077Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1032146Z import torch
2022-11-23T01:32:37.1032215Z import random
2022-11-23T01:32:37.1032317Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1032437Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1032442Z 
2022-11-23T01:32:37.1032522Z aten = torch.ops.aten
2022-11-23T01:32:37.1032692Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1032784Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1032789Z 
2022-11-23T01:32:37.1032794Z 
2022-11-23T01:32:37.1032925Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1033129Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1033248Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1033361Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.1033458Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.1033554Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:37.1033649Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:37.1033741Z                        float* __restrict__ out_ptr4,
2022-11-23T01:32:37.1033838Z                        double* __restrict__ out_ptr5,
2022-11-23T01:32:37.1033935Z                        double* __restrict__ out_ptr6)
2022-11-23T01:32:37.1033982Z {
2022-11-23T01:32:37.1034080Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1034141Z     {
2022-11-23T01:32:37.1034219Z         #pragma omp for 
2022-11-23T01:32:37.1034300Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.1034362Z         {
2022-11-23T01:32:37.1034444Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:37.1034494Z             {
2022-11-23T01:32:37.1034658Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (16*i0) + (16*i1));
2022-11-23T01:32:37.1034794Z                 auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:37.1034882Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.1034984Z                 tmp0.store(out_ptr0 + (16*i1) + (36*i0));
2022-11-23T01:32:37.1035086Z                 tmp2.store(out_ptr1 + (16*i1) + (36*i0));
2022-11-23T01:32:37.1035150Z             }
2022-11-23T01:32:37.1035230Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.1035317Z             for(long i1=16; i1<16; i1+=1)
2022-11-23T01:32:37.1035379Z             {
2022-11-23T01:32:37.1035475Z                 auto tmp0 = in_ptr0[i1 + (16*i0)];
2022-11-23T01:32:37.1035572Z                 auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:37.1035658Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.1035749Z                 out_ptr0[i1 + (36*i0)] = tmp0;
2022-11-23T01:32:37.1035826Z                 out_ptr1[i1 + (36*i0)] = tmp2;
2022-11-23T01:32:37.1035889Z             }
2022-11-23T01:32:37.1035952Z         }
2022-11-23T01:32:37.1036028Z         #pragma omp for 
2022-11-23T01:32:37.1036108Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.1036170Z         {
2022-11-23T01:32:37.1036250Z             #pragma GCC ivdep
2022-11-23T01:32:37.1036319Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:37.1036382Z             {
2022-11-23T01:32:37.1036446Z                 {
2022-11-23T01:32:37.1036512Z                     {
2022-11-23T01:32:37.1036615Z                         auto tmp0 = in_ptr0[i1 + (16*i0)];
2022-11-23T01:32:37.1036722Z                         auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:37.1036815Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.1036896Z                         out_ptr2[i1 + (36*i0)] = tmp2;
2022-11-23T01:32:37.1036992Z                     }
2022-11-23T01:32:37.1037056Z                 }
2022-11-23T01:32:37.1037263Z             }
2022-11-23T01:32:37.1037354Z         }
2022-11-23T01:32:37.1037465Z         #pragma omp for 
2022-11-23T01:32:37.1037559Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.1037622Z         {
2022-11-23T01:32:37.1037684Z             {
2022-11-23T01:32:37.1037746Z                 {
2022-11-23T01:32:37.1037838Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.1037941Z                     auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:37.1038033Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:37.1038199Z                     auto tmp3 = static_cast<double>(tmp2);
2022-11-23T01:32:37.1038284Z                     out_ptr3[i0] = tmp2;
2022-11-23T01:32:37.1038364Z                     out_ptr4[i0] = tmp2;
2022-11-23T01:32:37.1038447Z                     out_ptr5[i0] = tmp3;
2022-11-23T01:32:37.1038528Z                     out_ptr6[i0] = tmp3;
2022-11-23T01:32:37.1038592Z                 }
2022-11-23T01:32:37.1038654Z             }
2022-11-23T01:32:37.1038703Z         }
2022-11-23T01:32:37.1038801Z     }
2022-11-23T01:32:37.1038863Z }
2022-11-23T01:32:37.1038959Z ''')
2022-11-23T01:32:37.1038965Z 
2022-11-23T01:32:37.1038969Z 
2022-11-23T01:32:37.1039060Z async_compile.wait(globals())
2022-11-23T01:32:37.1039131Z del async_compile
2022-11-23T01:32:37.1039136Z 
2022-11-23T01:32:37.1039208Z def call(args):
2022-11-23T01:32:37.1039264Z     arg0_1, = args
2022-11-23T01:32:37.1039338Z     args.clear()
2022-11-23T01:32:37.1039540Z     buf3 = empty_strided((8, 36), (36, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1039645Z     buf0 = as_strided(buf3, (8, 16), (36, 1))  # alias
2022-11-23T01:32:37.1039746Z     buf2 = as_strided(buf3, (8, 16), (36, 1), 20)  # alias
2022-11-23T01:32:37.1039846Z     buf1 = as_strided(buf3, (8, 4), (36, 1), 16)  # alias
2022-11-23T01:32:37.1040044Z     buf6 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1040143Z     buf4 = as_strided(buf6, (8, 16), (16, 1))  # alias
2022-11-23T01:32:37.1040233Z     buf5 = as_strided(buf6, (8, 16), (16, 1), 128)  # alias
2022-11-23T01:32:37.1040429Z     buf9 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:37.1040526Z     buf7 = as_strided(buf9, (8, 16), (16, 1))  # alias
2022-11-23T01:32:37.1040630Z     buf8 = as_strided(buf9, (8, 16), (16, 1), 128)  # alias
2022-11-23T01:32:37.1040916Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()))
2022-11-23T01:32:37.1040986Z     del arg0_1
2022-11-23T01:32:37.1041070Z     return (buf3, buf6, buf9, )
2022-11-23T01:32:37.1041075Z 
2022-11-23T01:32:37.1041079Z 
2022-11-23T01:32:37.1041154Z if __name__ == "__main__":
2022-11-23T01:32:37.1041256Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1041377Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1041576Z     arg0_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1041683Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.1041688Z 
2022-11-23T01:32:37.1041757Z ok (2.706s)
2022-11-23T01:32:37.1042078Z   test_cat_extern_kernel_cpu (__main__.CpuTests) ... [2022-11-23 01:15:42,855] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1042347Z [2022-11-23 01:15:42,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1042565Z [2022-11-23 01:15:42,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1042816Z [2022-11-23 01:15:42,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.1043086Z [2022-11-23 01:15:42,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.1043412Z [2022-11-23 01:15:42,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1043735Z [2022-11-23 01:15:42,857] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f641e270, file "inductor/test_torchinductor.py", line 2580> 
2022-11-23T01:32:37.1043832Z  2581           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.1043924Z                2 LOAD_METHOD              1 (mm)
2022-11-23T01:32:37.1044015Z                4 LOAD_FAST                1 (x2)
2022-11-23T01:32:37.1044140Z                6 LOAD_FAST                2 (x3)
2022-11-23T01:32:37.1044231Z                8 CALL_METHOD              2
2022-11-23T01:32:37.1044310Z               10 STORE_FAST               4 (x)
2022-11-23T01:32:37.1044315Z 
2022-11-23T01:32:37.1044408Z 2582          12 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.1044502Z               14 LOAD_METHOD              2 (narrow)
2022-11-23T01:32:37.1044620Z               16 LOAD_FAST                4 (x)
2022-11-23T01:32:37.1044711Z               18 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1044797Z               20 LOAD_CONST               2 (0)
2022-11-23T01:32:37.1044888Z               22 LOAD_CONST               3 (100)
2022-11-23T01:32:37.1044975Z               24 CALL_METHOD              4
2022-11-23T01:32:37.1045049Z               26 STORE_FAST               5 (s)
2022-11-23T01:32:37.1045054Z 
2022-11-23T01:32:37.1045146Z 2583          28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.1045237Z               30 LOAD_METHOD              1 (mm)
2022-11-23T01:32:37.1045326Z               32 LOAD_FAST                5 (s)
2022-11-23T01:32:37.1045414Z               34 LOAD_FAST                3 (x4)
2022-11-23T01:32:37.1045501Z               36 CALL_METHOD              2
2022-11-23T01:32:37.1045588Z               38 STORE_FAST               4 (x)
2022-11-23T01:32:37.1045592Z 
2022-11-23T01:32:37.1045671Z 2584          40 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.1045764Z               42 LOAD_METHOD              3 (cat)
2022-11-23T01:32:37.1045851Z               44 LOAD_FAST                4 (x)
2022-11-23T01:32:37.1045939Z               46 LOAD_FAST                0 (x1)
2022-11-23T01:32:37.1046027Z               48 BUILD_TUPLE              2
2022-11-23T01:32:37.1046113Z               50 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1046199Z               52 CALL_METHOD              2
2022-11-23T01:32:37.1046286Z               54 STORE_FAST               6 (c)
2022-11-23T01:32:37.1046292Z 
2022-11-23T01:32:37.1046365Z 2585          56 LOAD_FAST                6 (c)
2022-11-23T01:32:37.1046452Z               58 BUILD_TUPLE              1
2022-11-23T01:32:37.1046528Z               60 RETURN_VALUE
2022-11-23T01:32:37.1046589Z  
2022-11-23T01:32:37.1046594Z 
2022-11-23T01:32:37.1046869Z [2022-11-23 01:15:42,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2581
2022-11-23T01:32:37.1047088Z [2022-11-23 01:15:42,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.1047450Z [2022-11-23 01:15:42,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.1047769Z [2022-11-23 01:15:42,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x2 [TorchVariable(<built-in method mm of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.1048112Z [2022-11-23 01:15:42,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x3 [TorchVariable(<built-in method mm of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.1048478Z [2022-11-23 01:15:42,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method mm of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.1048714Z [2022-11-23 01:15:42,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.1048983Z [2022-11-23 01:15:42,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2582
2022-11-23T01:32:37.1049200Z [2022-11-23 01:15:42,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.1049566Z [2022-11-23 01:15:42,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR narrow [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.1049884Z [2022-11-23 01:15:42,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method narrow of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.1050270Z [2022-11-23 01:15:42,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method narrow of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.1050684Z [2022-11-23 01:15:42,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method narrow of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1051112Z [2022-11-23 01:15:42,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 100 [TorchVariable(<built-in method narrow of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1051581Z [2022-11-23 01:15:42,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(<built-in method narrow of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1051821Z [2022-11-23 01:15:42,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST s [TensorVariable()]
2022-11-23T01:32:37.1052087Z [2022-11-23 01:15:42,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2583
2022-11-23T01:32:37.1052291Z [2022-11-23 01:15:42,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.1052647Z [2022-11-23 01:15:42,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.1052957Z [2022-11-23 01:15:42,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST s [TorchVariable(<built-in method mm of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.1053296Z [2022-11-23 01:15:42,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x4 [TorchVariable(<built-in method mm of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.1053672Z [2022-11-23 01:15:42,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method mm of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.1053909Z [2022-11-23 01:15:42,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.1054176Z [2022-11-23 01:15:42,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2584
2022-11-23T01:32:37.1054390Z [2022-11-23 01:15:42,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.1054750Z [2022-11-23 01:15:42,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.1055062Z [2022-11-23 01:15:42,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.1055406Z [2022-11-23 01:15:42,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x1 [TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.1055767Z [2022-11-23 01:15:42,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.1056109Z [2022-11-23 01:15:42,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TupleVariable()]
2022-11-23T01:32:37.1056490Z [2022-11-23 01:15:42,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method cat of type object at 0x7f71f2abebc0>), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1056726Z [2022-11-23 01:15:42,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:32:37.1057024Z [2022-11-23 01:15:42,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2585
2022-11-23T01:32:37.1057231Z [2022-11-23 01:15:42,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c []
2022-11-23T01:32:37.1057470Z [2022-11-23 01:15:42,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:37.1057741Z [2022-11-23 01:15:42,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1058068Z [2022-11-23 01:15:42,873] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f641e270, file "inductor/test_torchinductor.py", line 2580>
2022-11-23T01:32:37.1058311Z [2022-11-23 01:15:42,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1058529Z [2022-11-23 01:15:42,874] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1058783Z [2022-11-23 01:15:42,904] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1059028Z [2022-11-23 01:15:42,916] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1059223Z [2022-11-23 01:15:42,917] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1059357Z  __compiled_fn_49 <eval_with_key>.318 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1059448Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1059535Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.1059618Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.1059689Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:37.1059913Z call_function, mm, <built-in method mm of type object at 0x7f71f2abebc0>, (ex_1_, ex_2_), {}
2022-11-23T01:32:37.1060149Z call_function, narrow, <built-in method narrow of type object at 0x7f71f2abebc0>, (mm, 1, 0, 100), {}
2022-11-23T01:32:37.1060381Z call_function, mm_1, <built-in method mm of type object at 0x7f71f2abebc0>, (narrow, ex_3_), {}
2022-11-23T01:32:37.1060614Z call_function, cat, <built-in method cat of type object at 0x7f71f2abebc0>, ((mm_1, ex_0_), 1), {}
2022-11-23T01:32:37.1060708Z output, output, output, ((cat,),), {}
2022-11-23T01:32:37.1060714Z 
2022-11-23T01:32:37.1060989Z [2022-11-23 01:15:42,917] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1061085Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1061176Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1061256Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1061345Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1061423Z               8 RETURN_VALUE
2022-11-23T01:32:37.1061429Z 
2022-11-23T01:32:37.1061489Z  
2022-11-23T01:32:37.1061763Z [2022-11-23 01:15:42,918] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1061872Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_49)
2022-11-23T01:32:37.1061961Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1062038Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1062114Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1062203Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1062289Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.1062369Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.1062455Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1062542Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.1062603Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.1062688Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1062777Z              22 LOAD_CONST               4 (3)
2022-11-23T01:32:37.1062850Z              24 BINARY_SUBSCR
2022-11-23T01:32:37.1062938Z              26 CALL_FUNCTION            4
2022-11-23T01:32:37.1063070Z              28 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.1063171Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1063246Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1063321Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.1063409Z              36 BUILD_TUPLE              1
2022-11-23T01:32:37.1063483Z              38 RETURN_VALUE
2022-11-23T01:32:37.1063488Z 
2022-11-23T01:32:37.1063574Z  
2022-11-23T01:32:37.1063755Z [2022-11-23 01:15:42,919] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1063824Z  - 
2022-11-23T01:32:37.1063942Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1063994Z             {
2022-11-23T01:32:37.1064133Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1064318Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 4'],
2022-11-23T01:32:37.1064512Z                 'obj_weakref': None
2022-11-23T01:32:37.1064744Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1064806Z             }
2022-11-23T01:32:37.1064869Z             
2022-11-23T01:32:37.1064924Z  - 
2022-11-23T01:32:37.1065048Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1065111Z             {
2022-11-23T01:32:37.1065254Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1065359Z                 'code': None,
2022-11-23T01:32:37.1065568Z                 'obj_weakref': <weakref at 0x7f70f2d6c110; to 'Tensor' at 0x7f71188f6350>
2022-11-23T01:32:37.1065817Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1065867Z             }
2022-11-23T01:32:37.1065930Z             
2022-11-23T01:32:37.1065997Z  - 
2022-11-23T01:32:37.1066117Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.1066183Z             {
2022-11-23T01:32:37.1066322Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1066417Z                 'code': None,
2022-11-23T01:32:37.1066624Z                 'obj_weakref': <weakref at 0x7f710667e050; to 'Tensor' at 0x7f7106269fb0>
2022-11-23T01:32:37.1066866Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1066930Z             }
2022-11-23T01:32:37.1066994Z             
2022-11-23T01:32:37.1067062Z  - 
2022-11-23T01:32:37.1067185Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.1067247Z             {
2022-11-23T01:32:37.1067374Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1067478Z                 'code': None,
2022-11-23T01:32:37.1067681Z                 'obj_weakref': <weakref at 0x7f70f29067d0; to 'Tensor' at 0x7f7106911770>
2022-11-23T01:32:37.1067925Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1067988Z             }
2022-11-23T01:32:37.1068053Z             
2022-11-23T01:32:37.1068121Z  - 
2022-11-23T01:32:37.1068229Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:37.1068290Z             {
2022-11-23T01:32:37.1068428Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1068533Z                 'code': None,
2022-11-23T01:32:37.1068733Z                 'obj_weakref': <weakref at 0x7f71066d83b0; to 'Tensor' at 0x7f71069112f0>
2022-11-23T01:32:37.1068977Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1069041Z             }
2022-11-23T01:32:37.1069090Z             
2022-11-23T01:32:37.1069158Z  - 
2022-11-23T01:32:37.1069288Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.1069352Z             {
2022-11-23T01:32:37.1069484Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1069652Z                 'code': ['___check_obj_id(model, 140123417951840)'],
2022-11-23T01:32:37.1069814Z                 'obj_weakref': None
2022-11-23T01:32:37.1070028Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.1070091Z             }
2022-11-23T01:32:37.1070152Z             
2022-11-23T01:32:37.1070220Z  - 
2022-11-23T01:32:37.1070344Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1070407Z             {
2022-11-23T01:32:37.1070540Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1070785Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1070905Z                 'obj_weakref': None
2022-11-23T01:32:37.1071125Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1071189Z             }
2022-11-23T01:32:37.1071253Z             
2022-11-23T01:32:37.1071321Z  - 
2022-11-23T01:32:37.1071454Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.1071504Z             {
2022-11-23T01:32:37.1071624Z                 'guard_types': None,
2022-11-23T01:32:37.1071730Z                 'code': None,
2022-11-23T01:32:37.1071846Z                 'obj_weakref': None
2022-11-23T01:32:37.1071964Z                 'guarded_class': None
2022-11-23T01:32:37.1072027Z             }
2022-11-23T01:32:37.1072076Z             
2022-11-23T01:32:37.1072334Z [2022-11-23 01:15:42,934] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 48
2022-11-23T01:32:37.1072709Z [2022-11-23 01:15:45,487] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/su/csudycxqouwetnn34wcoapx5lo4ovkweovn6jfkmrpflrdx4rr4y.py
2022-11-23T01:32:37.1072972Z [2022-11-23 01:15:45,488] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 48
2022-11-23T01:32:37.1072980Z 
2022-11-23T01:32:37.1073076Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1073145Z import torch
2022-11-23T01:32:37.1073215Z import random
2022-11-23T01:32:37.1073328Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1073438Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1073456Z 
2022-11-23T01:32:37.1073521Z aten = torch.ops.aten
2022-11-23T01:32:37.1073654Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1073747Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1073753Z 
2022-11-23T01:32:37.1073758Z 
2022-11-23T01:32:37.1073890Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1074097Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1074216Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1074317Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.1074366Z {
2022-11-23T01:32:37.1074462Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1074523Z     {
2022-11-23T01:32:37.1074599Z         #pragma omp for 
2022-11-23T01:32:37.1074683Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:32:37.1074748Z         {
2022-11-23T01:32:37.1074833Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T01:32:37.1074883Z             {
2022-11-23T01:32:37.1075039Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (16*i1) + (256*i0));
2022-11-23T01:32:37.1075143Z                 tmp0.store(out_ptr0 + (16*i1) + (512*i0));
2022-11-23T01:32:37.1075210Z             }
2022-11-23T01:32:37.1075301Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.1075390Z             for(long i1=256; i1<256; i1+=1)
2022-11-23T01:32:37.1075452Z             {
2022-11-23T01:32:37.1075533Z                 auto tmp0 = in_ptr0[i1 + (256*i0)];
2022-11-23T01:32:37.1075621Z                 out_ptr0[i1 + (512*i0)] = tmp0;
2022-11-23T01:32:37.1075683Z             }
2022-11-23T01:32:37.1075748Z         }
2022-11-23T01:32:37.1075809Z     }
2022-11-23T01:32:37.1075868Z }
2022-11-23T01:32:37.1075944Z ''')
2022-11-23T01:32:37.1075950Z 
2022-11-23T01:32:37.1075954Z 
2022-11-23T01:32:37.1076059Z async_compile.wait(globals())
2022-11-23T01:32:37.1076132Z del async_compile
2022-11-23T01:32:37.1076137Z 
2022-11-23T01:32:37.1076207Z def call(args):
2022-11-23T01:32:37.1076298Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:32:37.1076369Z     args.clear()
2022-11-23T01:32:37.1076575Z     buf0 = empty_strided((256, 1600), (1600, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1076669Z     aten.mm.out(arg1_1, arg2_1, out=buf0)
2022-11-23T01:32:37.1076736Z     del arg1_1
2022-11-23T01:32:37.1076818Z     del arg2_1
2022-11-23T01:32:37.1077020Z     buf3 = empty_strided((256, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1077250Z     buf1 = as_strided(buf3, (256, 256), (512, 1))  # alias
2022-11-23T01:32:37.1077377Z     aten.mm.out(as_strided(buf0, (256, 100), (1600, 1)), arg3_1, out=buf1)
2022-11-23T01:32:37.1077447Z     del arg3_1
2022-11-23T01:32:37.1077512Z     del buf0
2022-11-23T01:32:37.1077619Z     buf2 = as_strided(buf3, (256, 256), (512, 1), 256)  # alias
2022-11-23T01:32:37.1077742Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:37.1077808Z     del arg0_1
2022-11-23T01:32:37.1077878Z     return (buf3, )
2022-11-23T01:32:37.1077883Z 
2022-11-23T01:32:37.1077888Z 
2022-11-23T01:32:37.1077964Z if __name__ == "__main__":
2022-11-23T01:32:37.1078079Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1078202Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1078409Z     arg0_1 = rand_strided((256, 256), (256, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1078614Z     arg1_1 = rand_strided((256, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1078801Z     arg2_1 = rand_strided((1024, 1600), (1600, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1078998Z     arg3_1 = rand_strided((100, 256), (256, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1079126Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:32:37.1079134Z 
2022-11-23T01:32:37.1079202Z ok (2.804s)
2022-11-23T01:32:37.1079518Z   test_cat_upcasting_cpu (__main__.CpuTests) ... [2022-11-23 01:15:45,545] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1079788Z [2022-11-23 01:15:45,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1080006Z [2022-11-23 01:15:45,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1080257Z [2022-11-23 01:15:45,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.1080532Z [2022-11-23 01:15:45,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.1080855Z [2022-11-23 01:15:45,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1081182Z [2022-11-23 01:15:45,546] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f641e150, file "inductor/test_torchinductor.py", line 2567> 
2022-11-23T01:32:37.1081278Z  2568           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.1081370Z                2 LOAD_ATTR                1 (cat)
2022-11-23T01:32:37.1081467Z                4 LOAD_METHOD              2 (default)
2022-11-23T01:32:37.1081560Z                6 LOAD_FAST                0 (arg4_1)
2022-11-23T01:32:37.1081653Z                8 LOAD_FAST                1 (slice_7)
2022-11-23T01:32:37.1081741Z               10 BUILD_LIST               2
2022-11-23T01:32:37.1081819Z               12 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1081906Z               14 CALL_METHOD              2
2022-11-23T01:32:37.1081997Z               16 STORE_FAST               2 (cat_1)
2022-11-23T01:32:37.1082003Z 
2022-11-23T01:32:37.1082093Z 2569          18 LOAD_FAST                2 (cat_1)
2022-11-23T01:32:37.1082236Z               20 BUILD_TUPLE              1
2022-11-23T01:32:37.1082312Z               22 RETURN_VALUE
2022-11-23T01:32:37.1082373Z  
2022-11-23T01:32:37.1082379Z 
2022-11-23T01:32:37.1082636Z [2022-11-23 01:15:45,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2568
2022-11-23T01:32:37.1082855Z [2022-11-23 01:15:45,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.1083194Z [2022-11-23 01:15:45,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.1083454Z [2022-11-23 01:15:45,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.cat)]
2022-11-23T01:32:37.1083725Z [2022-11-23 01:15:45,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg4_1 [TorchVariable(aten.cat.default)]
2022-11-23T01:32:37.1084021Z [2022-11-23 01:15:45,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_7 [TorchVariable(aten.cat.default), TensorVariable()]
2022-11-23T01:32:37.1084345Z [2022-11-23 01:15:45,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.cat.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.1084628Z [2022-11-23 01:15:45,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.cat.default), ListVariable()]
2022-11-23T01:32:37.1084958Z [2022-11-23 01:15:45,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.cat.default), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1085202Z [2022-11-23 01:15:45,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST cat_1 [TensorVariable()]
2022-11-23T01:32:37.1085456Z [2022-11-23 01:15:45,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2569
2022-11-23T01:32:37.1085667Z [2022-11-23 01:15:45,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST cat_1 []
2022-11-23T01:32:37.1085910Z [2022-11-23 01:15:45,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:37.1086158Z [2022-11-23 01:15:45,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1086488Z [2022-11-23 01:15:45,567] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f641e150, file "inductor/test_torchinductor.py", line 2567>
2022-11-23T01:32:37.1086732Z [2022-11-23 01:15:45,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1086965Z [2022-11-23 01:15:45,567] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1087215Z [2022-11-23 01:15:45,569] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1087463Z [2022-11-23 01:15:45,579] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1087652Z [2022-11-23 01:15:45,580] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1087773Z  __compiled_fn_50 <eval_with_key>.324 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1087861Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1087950Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.1088084Z call_function, cat_default, aten.cat.default, ([ex_0_, ex_1_], 1), {}
2022-11-23T01:32:37.1088189Z output, output, output, ((cat_default,),), {}
2022-11-23T01:32:37.1088197Z 
2022-11-23T01:32:37.1088471Z [2022-11-23 01:15:45,580] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1088564Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1088658Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1088738Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1088828Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1088906Z               8 RETURN_VALUE
2022-11-23T01:32:37.1088941Z 
2022-11-23T01:32:37.1089003Z  
2022-11-23T01:32:37.1089279Z [2022-11-23 01:15:45,581] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1089384Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_50)
2022-11-23T01:32:37.1089473Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1089550Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1089664Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1089756Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1089842Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.1089917Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.1090005Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.1090108Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.1090198Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1090287Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1090365Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.1090455Z              24 BUILD_TUPLE              1
2022-11-23T01:32:37.1090531Z              26 RETURN_VALUE
2022-11-23T01:32:37.1090536Z 
2022-11-23T01:32:37.1090597Z  
2022-11-23T01:32:37.1090778Z [2022-11-23 01:15:45,582] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1090847Z  - 
2022-11-23T01:32:37.1090952Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1091017Z             {
2022-11-23T01:32:37.1091157Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1091343Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.1091461Z                 'obj_weakref': None
2022-11-23T01:32:37.1091713Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1091777Z             }
2022-11-23T01:32:37.1091827Z             
2022-11-23T01:32:37.1091898Z  - 
2022-11-23T01:32:37.1092025Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1092092Z             {
2022-11-23T01:32:37.1092233Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1092339Z                 'code': None,
2022-11-23T01:32:37.1092531Z                 'obj_weakref': <weakref at 0x7f71069494d0; to 'Tensor' at 0x7f710674b770>
2022-11-23T01:32:37.1092782Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1092845Z             }
2022-11-23T01:32:37.1092908Z             
2022-11-23T01:32:37.1092977Z  - 
2022-11-23T01:32:37.1093099Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.1093161Z             {
2022-11-23T01:32:37.1093290Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1093395Z                 'code': None,
2022-11-23T01:32:37.1093598Z                 'obj_weakref': <weakref at 0x7f7106793b90; to 'Tensor' at 0x7f710625a110>
2022-11-23T01:32:37.1093840Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1093904Z             }
2022-11-23T01:32:37.1093967Z             
2022-11-23T01:32:37.1094034Z  - 
2022-11-23T01:32:37.1094164Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.1094214Z             {
2022-11-23T01:32:37.1094346Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1094518Z                 'code': ['___check_obj_id(model, 140124010880464)'],
2022-11-23T01:32:37.1094636Z                 'obj_weakref': None
2022-11-23T01:32:37.1094864Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.1094927Z             }
2022-11-23T01:32:37.1094989Z             
2022-11-23T01:32:37.1095045Z  - 
2022-11-23T01:32:37.1095166Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1095229Z             {
2022-11-23T01:32:37.1095364Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1095612Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1095731Z                 'obj_weakref': None
2022-11-23T01:32:37.1095947Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1095996Z             }
2022-11-23T01:32:37.1096059Z             
2022-11-23T01:32:37.1096128Z  - 
2022-11-23T01:32:37.1096257Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.1096352Z             {
2022-11-23T01:32:37.1096472Z                 'guard_types': None,
2022-11-23T01:32:37.1096565Z                 'code': None,
2022-11-23T01:32:37.1096680Z                 'obj_weakref': None
2022-11-23T01:32:37.1096802Z                 'guarded_class': None
2022-11-23T01:32:37.1096864Z             }
2022-11-23T01:32:37.1096926Z             
2022-11-23T01:32:37.1097183Z [2022-11-23 01:15:45,593] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 49
2022-11-23T01:32:37.1097559Z [2022-11-23 01:15:48,181] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k3/ck3pdvvsdpmjfrf7hcwm5fjfrg2qcxvfkpzkj6oynim5woemgwvn.py
2022-11-23T01:32:37.1097819Z [2022-11-23 01:15:48,181] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 49
2022-11-23T01:32:37.1097824Z 
2022-11-23T01:32:37.1097905Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1097974Z import torch
2022-11-23T01:32:37.1098044Z import random
2022-11-23T01:32:37.1098157Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1098278Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1098283Z 
2022-11-23T01:32:37.1098361Z aten = torch.ops.aten
2022-11-23T01:32:37.1098494Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1098573Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1098590Z 
2022-11-23T01:32:37.1098595Z 
2022-11-23T01:32:37.1098715Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1098920Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1099039Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1099145Z                        const half* __restrict__ in_ptr1,
2022-11-23T01:32:37.1099243Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.1099338Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.1099398Z {
2022-11-23T01:32:37.1099486Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1099547Z     {
2022-11-23T01:32:37.1099623Z         #pragma omp for 
2022-11-23T01:32:37.1099703Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.1099768Z         {
2022-11-23T01:32:37.1099848Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:37.1099911Z             {
2022-11-23T01:32:37.1100045Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (16*i0) + (16*i1));
2022-11-23T01:32:37.1100150Z                 tmp0.store(out_ptr0 + (16*i1) + (36*i0));
2022-11-23T01:32:37.1100215Z             }
2022-11-23T01:32:37.1100308Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.1100396Z             for(long i1=16; i1<16; i1+=1)
2022-11-23T01:32:37.1100458Z             {
2022-11-23T01:32:37.1100553Z                 auto tmp0 = in_ptr0[i1 + (16*i0)];
2022-11-23T01:32:37.1100630Z                 out_ptr0[i1 + (36*i0)] = tmp0;
2022-11-23T01:32:37.1100693Z             }
2022-11-23T01:32:37.1100758Z         }
2022-11-23T01:32:37.1100833Z         #pragma omp for 
2022-11-23T01:32:37.1100913Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.1100975Z         {
2022-11-23T01:32:37.1101054Z             #pragma GCC ivdep
2022-11-23T01:32:37.1101125Z             for(long i1=0; i1<20; i1+=1)
2022-11-23T01:32:37.1101187Z             {
2022-11-23T01:32:37.1101250Z                 {
2022-11-23T01:32:37.1101320Z                     {
2022-11-23T01:32:37.1101441Z                         auto tmp0 = static_cast<float>(in_ptr1[i1 + (20*i0)]);
2022-11-23T01:32:37.1101585Z                         auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.1101679Z                         out_ptr1[i1 + (36*i0)] = tmp1;
2022-11-23T01:32:37.1101733Z                     }
2022-11-23T01:32:37.1101797Z                 }
2022-11-23T01:32:37.1101863Z             }
2022-11-23T01:32:37.1101925Z         }
2022-11-23T01:32:37.1101986Z     }
2022-11-23T01:32:37.1102044Z }
2022-11-23T01:32:37.1102109Z ''')
2022-11-23T01:32:37.1102155Z 
2022-11-23T01:32:37.1102163Z 
2022-11-23T01:32:37.1102238Z async_compile.wait(globals())
2022-11-23T01:32:37.1102309Z del async_compile
2022-11-23T01:32:37.1102314Z 
2022-11-23T01:32:37.1102383Z def call(args):
2022-11-23T01:32:37.1102458Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.1102529Z     args.clear()
2022-11-23T01:32:37.1102726Z     buf2 = empty_strided((8, 36), (36, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1102824Z     buf0 = as_strided(buf2, (8, 16), (36, 1))  # alias
2022-11-23T01:32:37.1102917Z     buf1 = as_strided(buf2, (8, 20), (36, 1), 16)  # alias
2022-11-23T01:32:37.1103107Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.1103174Z     del arg0_1
2022-11-23T01:32:37.1103241Z     del arg1_1
2022-11-23T01:32:37.1103312Z     return (buf2, )
2022-11-23T01:32:37.1103317Z 
2022-11-23T01:32:37.1103321Z 
2022-11-23T01:32:37.1103396Z if __name__ == "__main__":
2022-11-23T01:32:37.1103512Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1103633Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1103816Z     arg0_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1104012Z     arg1_1 = rand_strided((8, 20), (20, 1), device='cpu', dtype=torch.float16)
2022-11-23T01:32:37.1104127Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.1104131Z 
2022-11-23T01:32:37.1104200Z ok (2.650s)
2022-11-23T01:32:37.1104593Z   test_cauchy_cpu (__main__.CpuTests) ... [2022-11-23 01:15:48,231] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1104873Z [2022-11-23 01:15:48,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1105088Z [2022-11-23 01:15:48,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1105343Z [2022-11-23 01:15:48,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.1105627Z [2022-11-23 01:15:48,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.1105940Z [2022-11-23 01:15:48,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1106265Z [2022-11-23 01:15:48,232] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6415a50, file "inductor/test_torchinductor.py", line 2357> 
2022-11-23T01:32:37.1106363Z  2358           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.1106455Z                2 LOAD_METHOD              1 (sum)
2022-11-23T01:32:37.1106545Z                4 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1106639Z                6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.1106737Z                8 LOAD_METHOD              2 (unsqueeze)
2022-11-23T01:32:37.1106830Z               10 LOAD_FAST                0 (x)
2022-11-23T01:32:37.1106955Z               12 LOAD_CONST               2 (-1)
2022-11-23T01:32:37.1107042Z               14 CALL_METHOD              2
2022-11-23T01:32:37.1107130Z               16 LOAD_FAST                1 (y)
2022-11-23T01:32:37.1107211Z               18 BINARY_SUBTRACT
2022-11-23T01:32:37.1107293Z               20 BINARY_TRUE_DIVIDE
2022-11-23T01:32:37.1107378Z               22 CALL_METHOD              1
2022-11-23T01:32:37.1107489Z               24 RETURN_VALUE
2022-11-23T01:32:37.1107537Z  
2022-11-23T01:32:37.1107544Z 
2022-11-23T01:32:37.1107813Z [2022-11-23 01:15:48,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2358
2022-11-23T01:32:37.1108029Z [2022-11-23 01:15:48,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.1108417Z [2022-11-23 01:15:48,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.1108738Z [2022-11-23 01:15:48,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method sum of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.1109100Z [2022-11-23 01:15:48,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(<built-in method sum of type object at 0x7f71f2abebc0>), ConstantVariable(int)]
2022-11-23T01:32:37.1109619Z [2022-11-23 01:15:48,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TorchVariable(<built-in method sum of type object at 0x7f71f2abebc0>), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.1110092Z [2022-11-23 01:15:48,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method sum of type object at 0x7f71f2abebc0>), ConstantVariable(int), TorchVariable(<built-in method unsqueeze of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.1110594Z [2022-11-23 01:15:48,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method sum of type object at 0x7f71f2abebc0>), ConstantVariable(int), TorchVariable(<built-in method unsqueeze of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.1111138Z [2022-11-23 01:15:48,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method sum of type object at 0x7f71f2abebc0>), ConstantVariable(int), TorchVariable(<built-in method unsqueeze of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1111519Z [2022-11-23 01:15:48,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method sum of type object at 0x7f71f2abebc0>), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.1111945Z [2022-11-23 01:15:48,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TorchVariable(<built-in method sum of type object at 0x7f71f2abebc0>), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.1112341Z [2022-11-23 01:15:48,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TorchVariable(<built-in method sum of type object at 0x7f71f2abebc0>), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.1112686Z [2022-11-23 01:15:48,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sum of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.1112921Z [2022-11-23 01:15:48,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.1113250Z [2022-11-23 01:15:48,247] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6415a50, file "inductor/test_torchinductor.py", line 2357>
2022-11-23T01:32:37.1113497Z [2022-11-23 01:15:48,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.1113730Z [2022-11-23 01:15:48,247] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1113982Z [2022-11-23 01:15:48,249] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1114227Z [2022-11-23 01:15:48,260] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1114413Z [2022-11-23 01:15:48,261] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1114576Z  __compiled_fn_51 <eval_with_key>.330 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1114666Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1114740Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.1114988Z call_function, unsqueeze, <built-in method unsqueeze of type object at 0x7f71f2abebc0>, (ex_0_, -1), {}
2022-11-23T01:32:37.1115174Z call_function, sub, <built-in function sub>, (unsqueeze, ex_1_), {}
2022-11-23T01:32:37.1115408Z call_function, truediv, <built-in function truediv>, (1, sub), {}
2022-11-23T01:32:37.1115636Z call_function, sum_1, <built-in method sum of type object at 0x7f71f2abebc0>, (truediv,), {}
2022-11-23T01:32:37.1115733Z output, output, output, ((sum_1,),), {}
2022-11-23T01:32:37.1115738Z 
2022-11-23T01:32:37.1116014Z [2022-11-23 01:15:48,261] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1116107Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1116188Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1116281Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1116369Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1116449Z               8 RETURN_VALUE
2022-11-23T01:32:37.1116454Z 
2022-11-23T01:32:37.1116515Z  
2022-11-23T01:32:37.1116790Z [2022-11-23 01:15:48,262] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1116898Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_51)
2022-11-23T01:32:37.1116985Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1117063Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1117267Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1117397Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1117501Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.1117576Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.1117668Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.1117759Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.1117821Z              18 RETURN_VALUE
2022-11-23T01:32:37.1117826Z 
2022-11-23T01:32:37.1117887Z  
2022-11-23T01:32:37.1118072Z [2022-11-23 01:15:48,263] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1118140Z  - 
2022-11-23T01:32:37.1118258Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1118325Z             {
2022-11-23T01:32:37.1118466Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1118638Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.1118757Z                 'obj_weakref': None
2022-11-23T01:32:37.1118979Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1119044Z             }
2022-11-23T01:32:37.1119109Z             
2022-11-23T01:32:37.1119176Z  - 
2022-11-23T01:32:37.1119301Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1119352Z             {
2022-11-23T01:32:37.1119497Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1119602Z                 'code': None,
2022-11-23T01:32:37.1119807Z                 'obj_weakref': <weakref at 0x7f71069ced70; to 'Tensor' at 0x7f710697c110>
2022-11-23T01:32:37.1120054Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1120119Z             }
2022-11-23T01:32:37.1120183Z             
2022-11-23T01:32:37.1120238Z  - 
2022-11-23T01:32:37.1120363Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.1120428Z             {
2022-11-23T01:32:37.1120569Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1120674Z                 'code': None,
2022-11-23T01:32:37.1120877Z                 'obj_weakref': <weakref at 0x7f71069ceb30; to 'Tensor' at 0x7f710697c290>
2022-11-23T01:32:37.1121119Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1121241Z             }
2022-11-23T01:32:37.1121304Z             
2022-11-23T01:32:37.1121374Z  - 
2022-11-23T01:32:37.1121504Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.1121566Z             {
2022-11-23T01:32:37.1121699Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1121903Z                 'code': ['___check_obj_id(model, 140123415641120)'],
2022-11-23T01:32:37.1122012Z                 'obj_weakref': None
2022-11-23T01:32:37.1122239Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.1122302Z             }
2022-11-23T01:32:37.1122365Z             
2022-11-23T01:32:37.1122434Z  - 
2022-11-23T01:32:37.1122552Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1122615Z             {
2022-11-23T01:32:37.1122738Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1122955Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1123073Z                 'obj_weakref': None
2022-11-23T01:32:37.1123288Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1123351Z             }
2022-11-23T01:32:37.1123413Z             
2022-11-23T01:32:37.1123480Z  - 
2022-11-23T01:32:37.1123599Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.1123695Z             {
2022-11-23T01:32:37.1123814Z                 'guard_types': None,
2022-11-23T01:32:37.1123918Z                 'code': None,
2022-11-23T01:32:37.1124034Z                 'obj_weakref': None
2022-11-23T01:32:37.1124153Z                 'guarded_class': None
2022-11-23T01:32:37.1124216Z             }
2022-11-23T01:32:37.1124266Z             
2022-11-23T01:32:37.1124523Z [2022-11-23 01:15:48,280] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 50
2022-11-23T01:32:37.1124892Z [2022-11-23 01:15:50,827] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pk/cpkl5euqk7zvcpsslls53z4so4u3c4u455kuqoodoqxkw4sbywxq.py
2022-11-23T01:32:37.1125154Z [2022-11-23 01:15:50,827] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 50
2022-11-23T01:32:37.1125159Z 
2022-11-23T01:32:37.1125256Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1125325Z import torch
2022-11-23T01:32:37.1125394Z import random
2022-11-23T01:32:37.1125510Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1125618Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1125624Z 
2022-11-23T01:32:37.1125703Z aten = torch.ops.aten
2022-11-23T01:32:37.1125839Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1125930Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1125935Z 
2022-11-23T01:32:37.1125940Z 
2022-11-23T01:32:37.1126070Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1126277Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1126396Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1126499Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.1126584Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.1126644Z {
2022-11-23T01:32:37.1126705Z     {
2022-11-23T01:32:37.1126768Z         {
2022-11-23T01:32:37.1126846Z             float tmp6 = 0;
2022-11-23T01:32:37.1126953Z             #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1127016Z             {
2022-11-23T01:32:37.1127106Z                 #pragma omp for reduction(+:tmp6) 
2022-11-23T01:32:37.1127195Z                 for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.1127262Z                 {
2022-11-23T01:32:37.1127354Z                     for(long i1=0; i1<32; i1+=1)
2022-11-23T01:32:37.1127420Z                     {
2022-11-23T01:32:37.1127519Z                         {
2022-11-23T01:32:37.1127614Z                             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.1127694Z                             auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:37.1127834Z                             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1127926Z                             auto tmp3 = 1 / tmp2;
2022-11-23T01:32:37.1128033Z                             auto tmp4 = static_cast<float>(1);
2022-11-23T01:32:37.1128159Z                             auto tmp5 = tmp3 * tmp4;
2022-11-23T01:32:37.1128242Z                             tmp6 += tmp5;
2022-11-23T01:32:37.1128310Z                         }
2022-11-23T01:32:37.1128364Z                     }
2022-11-23T01:32:37.1128427Z                 }
2022-11-23T01:32:37.1128490Z             }
2022-11-23T01:32:37.1128568Z             out_ptr0[0] = tmp6;
2022-11-23T01:32:37.1128630Z         }
2022-11-23T01:32:37.1128691Z     }
2022-11-23T01:32:37.1128737Z }
2022-11-23T01:32:37.1128815Z ''')
2022-11-23T01:32:37.1128822Z 
2022-11-23T01:32:37.1128826Z 
2022-11-23T01:32:37.1128915Z async_compile.wait(globals())
2022-11-23T01:32:37.1128989Z del async_compile
2022-11-23T01:32:37.1128994Z 
2022-11-23T01:32:37.1129067Z def call(args):
2022-11-23T01:32:37.1129140Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.1129210Z     args.clear()
2022-11-23T01:32:37.1129395Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1129543Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.1129611Z     del arg0_1
2022-11-23T01:32:37.1129677Z     del arg1_1
2022-11-23T01:32:37.1129748Z     return (buf0, )
2022-11-23T01:32:37.1129754Z 
2022-11-23T01:32:37.1129758Z 
2022-11-23T01:32:37.1129834Z if __name__ == "__main__":
2022-11-23T01:32:37.1129946Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1130067Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1130249Z     arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1130441Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1130555Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.1130560Z 
2022-11-23T01:32:37.1130626Z ok (2.645s)
2022-11-23T01:32:37.1130927Z   test_clamp_cpu (__main__.CpuTests) ... [2022-11-23 01:15:50,843] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1131198Z [2022-11-23 01:15:50,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1131416Z [2022-11-23 01:15:50,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1131670Z [2022-11-23 01:15:50,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.1131955Z [2022-11-23 01:15:50,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.1132267Z [2022-11-23 01:15:50,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1132586Z [2022-11-23 01:15:50,844] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6471030, file "inductor/test_torchinductor.py", line 872> 
2022-11-23T01:32:37.1132677Z  873           0 LOAD_FAST                0 (a)
2022-11-23T01:32:37.1132777Z               2 LOAD_METHOD              0 (clamp)
2022-11-23T01:32:37.1132915Z               4 LOAD_CONST               1 (-0.1)
2022-11-23T01:32:37.1133006Z               6 LOAD_CONST               2 (0.1)
2022-11-23T01:32:37.1133092Z               8 CALL_METHOD              2
2022-11-23T01:32:37.1133180Z              10 LOAD_FAST                1 (b)
2022-11-23T01:32:37.1133261Z              12 LOAD_METHOD              0 (clamp)
2022-11-23T01:32:37.1133348Z              14 LOAD_CONST               3 (0)
2022-11-23T01:32:37.1133463Z              16 CALL_METHOD              1
2022-11-23T01:32:37.1133556Z              18 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:37.1133644Z              20 LOAD_ATTR                0 (clamp)
2022-11-23T01:32:37.1133731Z              22 LOAD_FAST                0 (a)
2022-11-23T01:32:37.1133818Z              24 LOAD_FAST                1 (b)
2022-11-23T01:32:37.1133878Z              26 BINARY_ADD
2022-11-23T01:32:37.1133966Z              28 LOAD_CONST               3 (0)
2022-11-23T01:32:37.1134138Z              30 LOAD_CONST               4 (('max',))
2022-11-23T01:32:37.1134228Z              32 CALL_FUNCTION_KW         2
2022-11-23T01:32:37.1134314Z              34 BUILD_TUPLE              3
2022-11-23T01:32:37.1134390Z              36 RETURN_VALUE
2022-11-23T01:32:37.1134451Z  
2022-11-23T01:32:37.1134456Z 
2022-11-23T01:32:37.1134725Z [2022-11-23 01:15:50,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:873
2022-11-23T01:32:37.1134922Z [2022-11-23 01:15:50,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.1135170Z [2022-11-23 01:15:50,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp [TensorVariable()]
2022-11-23T01:32:37.1135449Z [2022-11-23 01:15:50,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -0.1 [GetAttrVariable(TensorVariable(), clamp)]
2022-11-23T01:32:37.1135765Z [2022-11-23 01:15:50,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.1 [GetAttrVariable(TensorVariable(), clamp), ConstantVariable(float)]
2022-11-23T01:32:37.1136125Z [2022-11-23 01:15:50,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [GetAttrVariable(TensorVariable(), clamp), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:37.1136362Z [2022-11-23 01:15:50,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:37.1136631Z [2022-11-23 01:15:50,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.1136934Z [2022-11-23 01:15:50,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), GetAttrVariable(TensorVariable(), clamp)]
2022-11-23T01:32:37.1137279Z [2022-11-23 01:15:50,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), clamp), ConstantVariable(int)]
2022-11-23T01:32:37.1137547Z [2022-11-23 01:15:50,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.1137958Z [2022-11-23 01:15:50,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.1138334Z [2022-11-23 01:15:50,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.1138740Z [2022-11-23 01:15:50,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.1139182Z [2022-11-23 01:15:50,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.1139589Z [2022-11-23 01:15:50,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.1140044Z [2022-11-23 01:15:50,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('max',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1140573Z [2022-11-23 01:15:50,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method clamp of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:37.1140874Z [2022-11-23 01:15:50,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.1141148Z [2022-11-23 01:15:50,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1141473Z [2022-11-23 01:15:50,870] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6471030, file "inductor/test_torchinductor.py", line 872>
2022-11-23T01:32:37.1141718Z [2022-11-23 01:15:50,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1141951Z [2022-11-23 01:15:50,871] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1142204Z [2022-11-23 01:15:50,873] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1142438Z [2022-11-23 01:15:50,889] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1142626Z [2022-11-23 01:15:50,890] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1142761Z  __compiled_fn_52 <eval_with_key>.336 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1142852Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1142938Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.1143088Z call_method, clamp, clamp, (ex_0_, -0.1, 0.1), {}
2022-11-23T01:32:37.1143190Z call_method, clamp_1, clamp, (ex_1_, 0), {}
2022-11-23T01:32:37.1143364Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.1143591Z call_function, clamp_2, <built-in method clamp of type object at 0x7f71f2abebc0>, (add,), {'max': 0}
2022-11-23T01:32:37.1143711Z output, output, output, ((clamp, clamp_1, clamp_2),), {}
2022-11-23T01:32:37.1143717Z 
2022-11-23T01:32:37.1143995Z [2022-11-23 01:15:50,891] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1144090Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1144180Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1144275Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1144364Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1144526Z               8 RETURN_VALUE
2022-11-23T01:32:37.1144532Z 
2022-11-23T01:32:37.1144582Z  
2022-11-23T01:32:37.1144858Z [2022-11-23 01:15:50,891] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1144963Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_52)
2022-11-23T01:32:37.1145053Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1145146Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1145222Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1145310Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1145384Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.1145458Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.1145545Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.1145653Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.1145754Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1145842Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1145916Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.1146014Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1146089Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.1146166Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.1146267Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1146390Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:37.1146466Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.1146552Z              36 BUILD_TUPLE              3
2022-11-23T01:32:37.1146626Z              38 RETURN_VALUE
2022-11-23T01:32:37.1146631Z 
2022-11-23T01:32:37.1146678Z  
2022-11-23T01:32:37.1146859Z [2022-11-23 01:15:50,892] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1146929Z  - 
2022-11-23T01:32:37.1147075Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1147140Z             {
2022-11-23T01:32:37.1147280Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1147464Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.1147571Z                 'obj_weakref': None
2022-11-23T01:32:37.1147795Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1147859Z             }
2022-11-23T01:32:37.1147924Z             
2022-11-23T01:32:37.1147992Z  - 
2022-11-23T01:32:37.1148115Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1148177Z             {
2022-11-23T01:32:37.1148306Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1148410Z                 'code': None,
2022-11-23T01:32:37.1148613Z                 'obj_weakref': <weakref at 0x7f7106961770; to 'Tensor' at 0x7f71062ac4d0>
2022-11-23T01:32:37.1148862Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1148926Z             }
2022-11-23T01:32:37.1148988Z             
2022-11-23T01:32:37.1149057Z  - 
2022-11-23T01:32:37.1149164Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.1149227Z             {
2022-11-23T01:32:37.1149366Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1149473Z                 'code': None,
2022-11-23T01:32:37.1149675Z                 'obj_weakref': <weakref at 0x7f7106961890; to 'Tensor' at 0x7f71069a6590>
2022-11-23T01:32:37.1149918Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1149981Z             }
2022-11-23T01:32:37.1150031Z             
2022-11-23T01:32:37.1150100Z  - 
2022-11-23T01:32:37.1150232Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.1150295Z             {
2022-11-23T01:32:37.1150428Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1150600Z                 'code': ['___check_obj_id(model, 140124016431904)'],
2022-11-23T01:32:37.1150717Z                 'obj_weakref': None
2022-11-23T01:32:37.1150929Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.1150993Z             }
2022-11-23T01:32:37.1151058Z             
2022-11-23T01:32:37.1151127Z  - 
2022-11-23T01:32:37.1151247Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1151311Z             {
2022-11-23T01:32:37.1151450Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1151654Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1151770Z                 'obj_weakref': None
2022-11-23T01:32:37.1151989Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1152052Z             }
2022-11-23T01:32:37.1152114Z             
2022-11-23T01:32:37.1152181Z  - 
2022-11-23T01:32:37.1152316Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.1152366Z             {
2022-11-23T01:32:37.1152485Z                 'guard_types': None,
2022-11-23T01:32:37.1152589Z                 'code': None,
2022-11-23T01:32:37.1152709Z                 'obj_weakref': None
2022-11-23T01:32:37.1152828Z                 'guarded_class': None
2022-11-23T01:32:37.1152890Z             }
2022-11-23T01:32:37.1152940Z             
2022-11-23T01:32:37.1153197Z [2022-11-23 01:15:50,922] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 51
2022-11-23T01:32:37.1153598Z [2022-11-23 01:15:53,550] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gw/cgwosju3mklacu5l5y6esmmzuvtppxmvfmat2iw7eg25gpfkwcf4.py
2022-11-23T01:32:37.1153860Z [2022-11-23 01:15:53,550] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 51
2022-11-23T01:32:37.1153865Z 
2022-11-23T01:32:37.1153957Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1154056Z import torch
2022-11-23T01:32:37.1154125Z import random
2022-11-23T01:32:37.1154238Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1154344Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1154362Z 
2022-11-23T01:32:37.1154427Z aten = torch.ops.aten
2022-11-23T01:32:37.1154559Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1154652Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1154657Z 
2022-11-23T01:32:37.1154664Z 
2022-11-23T01:32:37.1154796Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1155004Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1155124Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1155229Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.1155327Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.1155414Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.1155508Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:37.1155570Z {
2022-11-23T01:32:37.1155668Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1155730Z     {
2022-11-23T01:32:37.1155807Z         #pragma omp for 
2022-11-23T01:32:37.1155888Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.1155939Z         {
2022-11-23T01:32:37.1156081Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.1156218Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:37.1156438Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(-0.10000000149011612));
2022-11-23T01:32:37.1156546Z             auto tmp2 = at::vec::maximum(tmp0, tmp1);
2022-11-23T01:32:37.1156686Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(0.10000000149011612));
2022-11-23T01:32:37.1156794Z             auto tmp4 = at::vec::minimum(tmp2, tmp3);
2022-11-23T01:32:37.1156927Z             auto tmp6 = at::vec::Vectorized<float>(static_cast<float>(0.0));
2022-11-23T01:32:37.1157020Z             auto tmp7 = at::vec::maximum(tmp5, tmp6);
2022-11-23T01:32:37.1157225Z             auto tmp8 = tmp0 + tmp5;
2022-11-23T01:32:37.1157332Z             auto tmp9 = at::vec::minimum(tmp8, tmp6);
2022-11-23T01:32:37.1157425Z             tmp4.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.1157517Z             tmp7.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.1157606Z             tmp9.store(out_ptr2 + 16*i0);
2022-11-23T01:32:37.1157669Z         }
2022-11-23T01:32:37.1157751Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.1157833Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:37.1157895Z         {
2022-11-23T01:32:37.1157981Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.1158062Z             auto tmp5 = in_ptr1[i0];
2022-11-23T01:32:37.1158233Z             auto tmp1 = static_cast<float>(-0.10000000149011612);
2022-11-23T01:32:37.1158333Z             auto tmp2 = std::max(tmp0, tmp1);
2022-11-23T01:32:37.1158429Z             auto tmp3 = static_cast<float>(0.10000000149011612);
2022-11-23T01:32:37.1158524Z             auto tmp4 = std::min(tmp2, tmp3);
2022-11-23T01:32:37.1158623Z             auto tmp6 = static_cast<float>(0.0);
2022-11-23T01:32:37.1158721Z             auto tmp7 = std::max(tmp5, tmp6);
2022-11-23T01:32:37.1158805Z             auto tmp8 = tmp0 + tmp5;
2022-11-23T01:32:37.1158900Z             auto tmp9 = std::min(tmp8, tmp6);
2022-11-23T01:32:37.1159039Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:37.1159118Z             out_ptr1[i0] = tmp7;
2022-11-23T01:32:37.1159182Z             out_ptr2[i0] = tmp9;
2022-11-23T01:32:37.1159243Z         }
2022-11-23T01:32:37.1159304Z     }
2022-11-23T01:32:37.1159363Z }
2022-11-23T01:32:37.1159442Z ''')
2022-11-23T01:32:37.1159447Z 
2022-11-23T01:32:37.1159451Z 
2022-11-23T01:32:37.1159539Z async_compile.wait(globals())
2022-11-23T01:32:37.1159610Z del async_compile
2022-11-23T01:32:37.1159669Z 
2022-11-23T01:32:37.1159728Z def call(args):
2022-11-23T01:32:37.1159804Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.1159877Z     args.clear()
2022-11-23T01:32:37.1160076Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1160268Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1160454Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1160668Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:37.1160739Z     del arg0_1
2022-11-23T01:32:37.1160793Z     del arg1_1
2022-11-23T01:32:37.1160875Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:37.1160879Z 
2022-11-23T01:32:37.1160884Z 
2022-11-23T01:32:37.1160961Z if __name__ == "__main__":
2022-11-23T01:32:37.1161075Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1161199Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1161393Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1161584Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1161685Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.1161702Z 
2022-11-23T01:32:37.1161755Z ok (2.724s)
2022-11-23T01:32:37.1162061Z   test_clone_cpu (__main__.CpuTests) ... [2022-11-23 01:15:53,562] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1162336Z [2022-11-23 01:15:53,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1162552Z [2022-11-23 01:15:53,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1162804Z [2022-11-23 01:15:53,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.1163091Z [2022-11-23 01:15:53,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.1163411Z [2022-11-23 01:15:53,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1163738Z [2022-11-23 01:15:53,563] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f641a420, file "inductor/test_torchinductor.py", line 2447> 
2022-11-23T01:32:37.1163834Z  2448           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.1163916Z                2 LOAD_METHOD              1 (clone)
2022-11-23T01:32:37.1164006Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.1164094Z                6 CALL_METHOD              1
2022-11-23T01:32:37.1164183Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:37.1164256Z               10 BINARY_ADD
2022-11-23T01:32:37.1164350Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.1164442Z               14 LOAD_METHOD              1 (clone)
2022-11-23T01:32:37.1164518Z               16 LOAD_FAST                0 (x)
2022-11-23T01:32:37.1164605Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:37.1164678Z               20 BINARY_ADD
2022-11-23T01:32:37.1164767Z               22 CALL_METHOD              1
2022-11-23T01:32:37.1164854Z               24 BUILD_TUPLE              2
2022-11-23T01:32:37.1164929Z               26 RETURN_VALUE
2022-11-23T01:32:37.1165024Z  
2022-11-23T01:32:37.1165029Z 
2022-11-23T01:32:37.1165284Z [2022-11-23 01:15:53,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2448
2022-11-23T01:32:37.1165500Z [2022-11-23 01:15:53,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.1165834Z [2022-11-23 01:15:53,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.1166087Z [2022-11-23 01:15:53,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.clone)]
2022-11-23T01:32:37.1166371Z [2022-11-23 01:15:53,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.clone), TensorVariable()]
2022-11-23T01:32:37.1166606Z [2022-11-23 01:15:53,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:37.1166885Z [2022-11-23 01:15:53,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1167131Z [2022-11-23 01:15:53,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.1167462Z [2022-11-23 01:15:53,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.1167737Z [2022-11-23 01:15:53,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.clone)]
2022-11-23T01:32:37.1168034Z [2022-11-23 01:15:53,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.clone), TensorVariable()]
2022-11-23T01:32:37.1168386Z [2022-11-23 01:15:53,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.clone), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1168699Z [2022-11-23 01:15:53,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.clone), TensorVariable()]
2022-11-23T01:32:37.1168968Z [2022-11-23 01:15:53,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.1169211Z [2022-11-23 01:15:53,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1169540Z [2022-11-23 01:15:53,595] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f641a420, file "inductor/test_torchinductor.py", line 2447>
2022-11-23T01:32:37.1169783Z [2022-11-23 01:15:53,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1170015Z [2022-11-23 01:15:53,595] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1170268Z [2022-11-23 01:15:53,597] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1170517Z [2022-11-23 01:15:53,605] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1170693Z [2022-11-23 01:15:53,606] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1170827Z  __compiled_fn_53 <eval_with_key>.342 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1170919Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1171027Z call_function, clone, aten.clone, (ex_0_,), {}
2022-11-23T01:32:37.1171202Z call_function, add, <built-in function add>, (clone, 2), {}
2022-11-23T01:32:37.1171375Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.1171480Z call_function, clone_1, aten.clone, (add_1,), {}
2022-11-23T01:32:37.1171585Z output, output, output, ((add, clone_1),), {}
2022-11-23T01:32:37.1171590Z 
2022-11-23T01:32:37.1171851Z [2022-11-23 01:15:53,606] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1171944Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1172067Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1172161Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1172252Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1172327Z               8 RETURN_VALUE
2022-11-23T01:32:37.1172332Z 
2022-11-23T01:32:37.1172393Z  
2022-11-23T01:32:37.1172698Z [2022-11-23 01:15:53,606] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1172792Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_53)
2022-11-23T01:32:37.1172882Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1172970Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1173045Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1173135Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1173237Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.1173340Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1173416Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1173492Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.1173593Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1173679Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.1173755Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.1173842Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.1173920Z              26 RETURN_VALUE
2022-11-23T01:32:37.1173925Z 
2022-11-23T01:32:37.1173973Z  
2022-11-23T01:32:37.1174157Z [2022-11-23 01:15:53,608] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1174226Z  - 
2022-11-23T01:32:37.1174344Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1174409Z             {
2022-11-23T01:32:37.1174547Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1174733Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1174841Z                 'obj_weakref': None
2022-11-23T01:32:37.1175065Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1175127Z             }
2022-11-23T01:32:37.1175191Z             
2022-11-23T01:32:37.1175258Z  - 
2022-11-23T01:32:37.1175382Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1175444Z             {
2022-11-23T01:32:37.1175575Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1175681Z                 'code': None,
2022-11-23T01:32:37.1175890Z                 'obj_weakref': <weakref at 0x7f710696b2f0; to 'Tensor' at 0x7f71064edd70>
2022-11-23T01:32:37.1176139Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1176203Z             }
2022-11-23T01:32:37.1176266Z             
2022-11-23T01:32:37.1176337Z  - 
2022-11-23T01:32:37.1176455Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.1176520Z             {
2022-11-23T01:32:37.1176652Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1176821Z                 'code': ['___check_obj_id(model, 140124018165952)'],
2022-11-23T01:32:37.1176959Z                 'obj_weakref': None
2022-11-23T01:32:37.1177184Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.1177248Z             }
2022-11-23T01:32:37.1177298Z             
2022-11-23T01:32:37.1177367Z  - 
2022-11-23T01:32:37.1177490Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1177553Z             {
2022-11-23T01:32:37.1177688Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1177908Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1178025Z                 'obj_weakref': None
2022-11-23T01:32:37.1178230Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1178324Z             }
2022-11-23T01:32:37.1178386Z             
2022-11-23T01:32:37.1178456Z  - 
2022-11-23T01:32:37.1178586Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.1178648Z             {
2022-11-23T01:32:37.1178766Z                 'guard_types': None,
2022-11-23T01:32:37.1178859Z                 'code': None,
2022-11-23T01:32:37.1178975Z                 'obj_weakref': None
2022-11-23T01:32:37.1179094Z                 'guarded_class': None
2022-11-23T01:32:37.1179184Z             }
2022-11-23T01:32:37.1179247Z             
2022-11-23T01:32:37.1179504Z [2022-11-23 01:15:53,619] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 52
2022-11-23T01:32:37.1179871Z [2022-11-23 01:15:56,172] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ig/cig5qhc5qx2gabajtm5zzcs7sg6yebznnjrnvgjuq2ygnqfkoxyu.py
2022-11-23T01:32:37.1180130Z [2022-11-23 01:15:56,173] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 52
2022-11-23T01:32:37.1180138Z 
2022-11-23T01:32:37.1180218Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1180286Z import torch
2022-11-23T01:32:37.1180354Z import random
2022-11-23T01:32:37.1180470Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1180590Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1180595Z 
2022-11-23T01:32:37.1180671Z aten = torch.ops.aten
2022-11-23T01:32:37.1180805Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1180884Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1180889Z 
2022-11-23T01:32:37.1180906Z 
2022-11-23T01:32:37.1181027Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1181235Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1181354Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1181454Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.1181551Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.1181611Z {
2022-11-23T01:32:37.1181708Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1181757Z     {
2022-11-23T01:32:37.1181832Z         #pragma omp for 
2022-11-23T01:32:37.1181914Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:37.1181977Z         {
2022-11-23T01:32:37.1182110Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.1182243Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:37.1182327Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.1182444Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.1182528Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:32:37.1189093Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.1189258Z             tmp4.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.1189324Z         }
2022-11-23T01:32:37.1189429Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.1189513Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:37.1189563Z         {
2022-11-23T01:32:37.1189648Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.1189748Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:37.1189833Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.1189932Z             auto tmp3 = static_cast<float>(1);
2022-11-23T01:32:37.1190018Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:32:37.1190098Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.1190163Z             out_ptr1[i0] = tmp4;
2022-11-23T01:32:37.1190225Z         }
2022-11-23T01:32:37.1190285Z     }
2022-11-23T01:32:37.1190344Z }
2022-11-23T01:32:37.1190462Z ''')
2022-11-23T01:32:37.1190468Z 
2022-11-23T01:32:37.1190473Z 
2022-11-23T01:32:37.1190562Z async_compile.wait(globals())
2022-11-23T01:32:37.1190634Z del async_compile
2022-11-23T01:32:37.1190639Z 
2022-11-23T01:32:37.1190696Z def call(args):
2022-11-23T01:32:37.1190859Z     arg0_1, = args
2022-11-23T01:32:37.1190928Z     args.clear()
2022-11-23T01:32:37.1191142Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1191341Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1191506Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.1191574Z     del arg0_1
2022-11-23T01:32:37.1191690Z     return (buf0, buf1, )
2022-11-23T01:32:37.1191695Z 
2022-11-23T01:32:37.1191700Z 
2022-11-23T01:32:37.1191765Z if __name__ == "__main__":
2022-11-23T01:32:37.1191879Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1192001Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1192201Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1192308Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.1192315Z 
2022-11-23T01:32:37.1192381Z ok (2.622s)
2022-11-23T01:32:37.1192706Z   test_constant_pad_1d_cpu (__main__.CpuTests) ... [2022-11-23 01:15:56,184] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1192976Z [2022-11-23 01:15:56,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1193181Z [2022-11-23 01:15:56,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1193438Z [2022-11-23 01:15:56,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.1193728Z [2022-11-23 01:15:56,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.1194050Z [2022-11-23 01:15:56,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1194374Z [2022-11-23 01:15:56,185] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f642af60, file "inductor/test_torchinductor.py", line 3116> 
2022-11-23T01:32:37.1194472Z  3118           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.1194579Z                2 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:32:37.1194668Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.1194757Z                6 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1194835Z                8 LOAD_CONST               2 (1)
2022-11-23T01:32:37.1194921Z               10 BUILD_LIST               2
2022-11-23T01:32:37.1195014Z               12 LOAD_CONST               3 (6.0)
2022-11-23T01:32:37.1195101Z               14 CALL_METHOD              3
2022-11-23T01:32:37.1195106Z 
2022-11-23T01:32:37.1195199Z 3119          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.1195305Z               18 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:32:37.1195394Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:37.1195471Z               22 LOAD_CONST               4 (2)
2022-11-23T01:32:37.1195558Z               24 LOAD_CONST               5 (3)
2022-11-23T01:32:37.1195643Z               26 BUILD_LIST               2
2022-11-23T01:32:37.1195735Z               28 LOAD_CONST               6 (99.0)
2022-11-23T01:32:37.1195821Z               30 CALL_METHOD              3
2022-11-23T01:32:37.1195905Z               32 BUILD_TUPLE              2
2022-11-23T01:32:37.1195983Z               34 RETURN_VALUE
2022-11-23T01:32:37.1196043Z  
2022-11-23T01:32:37.1196048Z 
2022-11-23T01:32:37.1196307Z [2022-11-23 01:15:56,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3118
2022-11-23T01:32:37.1196522Z [2022-11-23 01:15:56,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.1196845Z [2022-11-23 01:15:56,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.1197292Z [2022-11-23 01:15:56,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:32:37.1197661Z [2022-11-23 01:15:56,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:32:37.1198062Z [2022-11-23 01:15:56,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1198435Z [2022-11-23 01:15:56,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1198755Z [2022-11-23 01:15:56,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.1199122Z [2022-11-23 01:15:56,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.1199393Z [2022-11-23 01:15:56,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3119
2022-11-23T01:32:37.1199624Z [2022-11-23 01:15:56,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.1199971Z [2022-11-23 01:15:56,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.1200265Z [2022-11-23 01:15:56,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:32:37.1200587Z [2022-11-23 01:15:56,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:32:37.1200948Z [2022-11-23 01:15:56,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1201350Z [2022-11-23 01:15:56,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1201704Z [2022-11-23 01:15:56,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.1202102Z [2022-11-23 01:15:56,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.1202369Z [2022-11-23 01:15:56,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.1202614Z [2022-11-23 01:15:56,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1202944Z [2022-11-23 01:15:56,217] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f642af60, file "inductor/test_torchinductor.py", line 3116>
2022-11-23T01:32:37.1203186Z [2022-11-23 01:15:56,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1203411Z [2022-11-23 01:15:56,217] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1203664Z [2022-11-23 01:15:56,219] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1203910Z [2022-11-23 01:15:56,225] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1204101Z [2022-11-23 01:15:56,226] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1204235Z  __compiled_fn_54 <eval_with_key>.348 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1204366Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1204506Z call_function, constant_pad_nd, aten.constant_pad_nd, (ex_0_, [0, 1], 6.0), {}
2022-11-23T01:32:37.1204644Z call_function, constant_pad_nd_1, aten.constant_pad_nd, (ex_0_, [2, 3], 99.0), {}
2022-11-23T01:32:37.1204763Z output, output, output, ((constant_pad_nd, constant_pad_nd_1),), {}
2022-11-23T01:32:37.1204781Z 
2022-11-23T01:32:37.1205075Z [2022-11-23 01:15:56,226] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1205170Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1205263Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1205354Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1205445Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1205519Z               8 RETURN_VALUE
2022-11-23T01:32:37.1205525Z 
2022-11-23T01:32:37.1205588Z  
2022-11-23T01:32:37.1205848Z [2022-11-23 01:15:56,226] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1205954Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_54)
2022-11-23T01:32:37.1206095Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1206183Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1206259Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1206347Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1206451Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.1206551Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1206626Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1206701Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.1206801Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1206890Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.1206965Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.1207051Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.1207125Z              26 RETURN_VALUE
2022-11-23T01:32:37.1207130Z 
2022-11-23T01:32:37.1207176Z  
2022-11-23T01:32:37.1207359Z [2022-11-23 01:15:56,228] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1207427Z  - 
2022-11-23T01:32:37.1207545Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1207609Z             {
2022-11-23T01:32:37.1207749Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1207933Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1208040Z                 'obj_weakref': None
2022-11-23T01:32:37.1208262Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1208326Z             }
2022-11-23T01:32:37.1208388Z             
2022-11-23T01:32:37.1208456Z  - 
2022-11-23T01:32:37.1208578Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1208644Z             {
2022-11-23T01:32:37.1208772Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1208877Z                 'code': None,
2022-11-23T01:32:37.1209083Z                 'obj_weakref': <weakref at 0x7f71069c4470; to 'Tensor' at 0x7f7106911290>
2022-11-23T01:32:37.1209333Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1209396Z             }
2022-11-23T01:32:37.1209461Z             
2022-11-23T01:32:37.1209529Z  - 
2022-11-23T01:32:37.1209645Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.1209708Z             {
2022-11-23T01:32:37.1209839Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1210006Z                 'code': ['___check_obj_id(model, 140123523551104)'],
2022-11-23T01:32:37.1210123Z                 'obj_weakref': None
2022-11-23T01:32:37.1210348Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.1210442Z             }
2022-11-23T01:32:37.1210492Z             
2022-11-23T01:32:37.1210559Z  - 
2022-11-23T01:32:37.1210680Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1210742Z             {
2022-11-23T01:32:37.1210879Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1211099Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1211244Z                 'obj_weakref': None
2022-11-23T01:32:37.1211451Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1211515Z             }
2022-11-23T01:32:37.1211576Z             
2022-11-23T01:32:37.1211643Z  - 
2022-11-23T01:32:37.1211773Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.1211835Z             {
2022-11-23T01:32:37.1211952Z                 'guard_types': None,
2022-11-23T01:32:37.1212045Z                 'code': None,
2022-11-23T01:32:37.1212163Z                 'obj_weakref': None
2022-11-23T01:32:37.1212285Z                 'guarded_class': None
2022-11-23T01:32:37.1212348Z             }
2022-11-23T01:32:37.1212410Z             
2022-11-23T01:32:37.1212668Z [2022-11-23 01:15:56,236] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 53
2022-11-23T01:32:37.1213040Z [2022-11-23 01:15:58,820] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wi/cwiq7fhlt4uschbw4gaqcq7j2zvyuggcqtfuhobpy4cqrp2pv3xf.py
2022-11-23T01:32:37.1213289Z [2022-11-23 01:15:58,821] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 53
2022-11-23T01:32:37.1213307Z 
2022-11-23T01:32:37.1213388Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1213456Z import torch
2022-11-23T01:32:37.1213528Z import random
2022-11-23T01:32:37.1213641Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1213760Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1213767Z 
2022-11-23T01:32:37.1213844Z aten = torch.ops.aten
2022-11-23T01:32:37.1213977Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1214055Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1214060Z 
2022-11-23T01:32:37.1214077Z 
2022-11-23T01:32:37.1214198Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1214403Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1214524Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1214623Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.1214719Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.1214782Z {
2022-11-23T01:32:37.1214880Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1214930Z     {
2022-11-23T01:32:37.1215006Z         #pragma omp for 
2022-11-23T01:32:37.1215089Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.1215152Z         {
2022-11-23T01:32:37.1215232Z             #pragma GCC ivdep
2022-11-23T01:32:37.1215316Z             for(long i1=0; i1<32; i1+=1)
2022-11-23T01:32:37.1215366Z             {
2022-11-23T01:32:37.1215433Z                 {
2022-11-23T01:32:37.1215499Z                     {
2022-11-23T01:32:37.1215609Z                         auto tmp0 = static_cast<long>(i1);
2022-11-23T01:32:37.1215713Z                         auto tmp1 = static_cast<long>(31);
2022-11-23T01:32:37.1215808Z                         auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:37.1215892Z                         float tmp3 = 6.0;
2022-11-23T01:32:37.1215954Z                         if(tmp2)
2022-11-23T01:32:37.1216022Z                         {
2022-11-23T01:32:37.1216126Z                             auto tmp4 = in_ptr0[i1 + (31*i0)];
2022-11-23T01:32:37.1216212Z                             tmp3 = tmp4;
2022-11-23T01:32:37.1216279Z                         }
2022-11-23T01:32:37.1216374Z                         out_ptr0[i1 + (32*i0)] = tmp3;
2022-11-23T01:32:37.1216472Z                     }
2022-11-23T01:32:37.1216523Z                 }
2022-11-23T01:32:37.1216586Z             }
2022-11-23T01:32:37.1216648Z         }
2022-11-23T01:32:37.1216726Z         #pragma omp for 
2022-11-23T01:32:37.1216807Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.1216868Z         {
2022-11-23T01:32:37.1216947Z             #pragma GCC ivdep
2022-11-23T01:32:37.1217016Z             for(long i1=0; i1<36; i1+=1)
2022-11-23T01:32:37.1217081Z             {
2022-11-23T01:32:37.1217173Z                 {
2022-11-23T01:32:37.1217240Z                     {
2022-11-23T01:32:37.1217406Z                         auto tmp0 = static_cast<long>((-2) + i1);
2022-11-23T01:32:37.1217511Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T01:32:37.1217606Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:32:37.1217697Z                         auto tmp3 = static_cast<long>(31);
2022-11-23T01:32:37.1217789Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T01:32:37.1217884Z                         auto tmp5 = tmp2 & tmp4;
2022-11-23T01:32:37.1217968Z                         float tmp6 = 99.0;
2022-11-23T01:32:37.1218041Z                         if(tmp5)
2022-11-23T01:32:37.1218107Z                         {
2022-11-23T01:32:37.1218274Z                             auto tmp7 = in_ptr0[(-2) + i1 + (31*i0)];
2022-11-23T01:32:37.1218342Z                             tmp6 = tmp7;
2022-11-23T01:32:37.1218410Z                         }
2022-11-23T01:32:37.1218507Z                         out_ptr1[i1 + (36*i0)] = tmp6;
2022-11-23T01:32:37.1218572Z                     }
2022-11-23T01:32:37.1218636Z                 }
2022-11-23T01:32:37.1218699Z             }
2022-11-23T01:32:37.1218761Z         }
2022-11-23T01:32:37.1218810Z     }
2022-11-23T01:32:37.1218868Z }
2022-11-23T01:32:37.1218945Z ''')
2022-11-23T01:32:37.1218950Z 
2022-11-23T01:32:37.1218954Z 
2022-11-23T01:32:37.1219043Z async_compile.wait(globals())
2022-11-23T01:32:37.1219115Z del async_compile
2022-11-23T01:32:37.1219122Z 
2022-11-23T01:32:37.1219191Z def call(args):
2022-11-23T01:32:37.1219259Z     arg0_1, = args
2022-11-23T01:32:37.1219318Z     args.clear()
2022-11-23T01:32:37.1219527Z     buf0 = empty_strided((2, 16, 32), (512, 32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1219733Z     buf1 = empty_strided((2, 16, 36), (576, 36, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1219901Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.1219969Z     del arg0_1
2022-11-23T01:32:37.1220045Z     return (buf0, buf1, )
2022-11-23T01:32:37.1220050Z 
2022-11-23T01:32:37.1220055Z 
2022-11-23T01:32:37.1220131Z if __name__ == "__main__":
2022-11-23T01:32:37.1220245Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1220353Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1220561Z     arg0_1 = rand_strided((2, 16, 31), (496, 31, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1220671Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.1220675Z 
2022-11-23T01:32:37.1220741Z ok (2.651s)
2022-11-23T01:32:37.1221065Z   test_constant_pad_2d_cpu (__main__.CpuTests) ... [2022-11-23 01:15:58,837] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1221335Z [2022-11-23 01:15:58,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1221554Z [2022-11-23 01:15:58,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1221805Z [2022-11-23 01:15:58,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.1222089Z [2022-11-23 01:15:58,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.1222403Z [2022-11-23 01:15:58,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1222762Z [2022-11-23 01:15:58,838] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f642e0c0, file "inductor/test_torchinductor.py", line 3125> 
2022-11-23T01:32:37.1222859Z  3127           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.1222965Z                2 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:32:37.1223057Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.1223181Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1223270Z                8 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1223358Z               10 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1223433Z               12 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1223520Z               14 BUILD_LIST               4
2022-11-23T01:32:37.1223610Z               16 LOAD_CONST               2 (6.0)
2022-11-23T01:32:37.1223699Z               18 CALL_METHOD              3
2022-11-23T01:32:37.1223706Z 
2022-11-23T01:32:37.1223799Z 3128          20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.1223904Z               22 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:32:37.1223993Z               24 LOAD_FAST                0 (a)
2022-11-23T01:32:37.1224066Z               26 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1224153Z               28 LOAD_CONST               3 (2)
2022-11-23T01:32:37.1224241Z               30 LOAD_CONST               4 (3)
2022-11-23T01:32:37.1224329Z               32 LOAD_CONST               5 (4)
2022-11-23T01:32:37.1224415Z               34 BUILD_LIST               4
2022-11-23T01:32:37.1224593Z               36 LOAD_CONST               6 (99.0)
2022-11-23T01:32:37.1224683Z               38 CALL_METHOD              3
2022-11-23T01:32:37.1224769Z               40 BUILD_TUPLE              2
2022-11-23T01:32:37.1224833Z               42 RETURN_VALUE
2022-11-23T01:32:37.1224893Z  
2022-11-23T01:32:37.1224898Z 
2022-11-23T01:32:37.1225176Z [2022-11-23 01:15:58,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3127
2022-11-23T01:32:37.1225394Z [2022-11-23 01:15:58,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.1225718Z [2022-11-23 01:15:58,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.1225987Z [2022-11-23 01:15:58,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:32:37.1226283Z [2022-11-23 01:15:58,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:32:37.1226617Z [2022-11-23 01:15:58,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1226985Z [2022-11-23 01:15:58,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1227380Z [2022-11-23 01:15:58,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1227829Z [2022-11-23 01:15:58,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1228154Z [2022-11-23 01:15:58,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.1228518Z [2022-11-23 01:15:58,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.1228822Z [2022-11-23 01:15:58,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3128
2022-11-23T01:32:37.1229064Z [2022-11-23 01:15:58,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.1229453Z [2022-11-23 01:15:58,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.1229746Z [2022-11-23 01:15:58,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:32:37.1230076Z [2022-11-23 01:15:58,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:32:37.1230436Z [2022-11-23 01:15:58,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1230839Z [2022-11-23 01:15:58,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1231278Z [2022-11-23 01:15:58,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1231747Z [2022-11-23 01:15:58,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1232100Z [2022-11-23 01:15:58,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.1232485Z [2022-11-23 01:15:58,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.1232752Z [2022-11-23 01:15:58,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.1232999Z [2022-11-23 01:15:58,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1233330Z [2022-11-23 01:15:58,879] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f642e0c0, file "inductor/test_torchinductor.py", line 3125>
2022-11-23T01:32:37.1233574Z [2022-11-23 01:15:58,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1233808Z [2022-11-23 01:15:58,879] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1234065Z [2022-11-23 01:15:58,881] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1234311Z [2022-11-23 01:15:58,893] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1234495Z [2022-11-23 01:15:58,894] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1234629Z  __compiled_fn_55 <eval_with_key>.354 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1234707Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1234849Z call_function, constant_pad_nd, aten.constant_pad_nd, (ex_0_, [1, 1, 1, 1], 6.0), {}
2022-11-23T01:32:37.1234990Z call_function, constant_pad_nd_1, aten.constant_pad_nd, (ex_0_, [1, 2, 3, 4], 99.0), {}
2022-11-23T01:32:37.1235121Z output, output, output, ((constant_pad_nd, constant_pad_nd_1),), {}
2022-11-23T01:32:37.1235126Z 
2022-11-23T01:32:37.1235401Z [2022-11-23 01:15:58,894] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1235532Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1235621Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1235713Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1235792Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1235867Z               8 RETURN_VALUE
2022-11-23T01:32:37.1235872Z 
2022-11-23T01:32:37.1235934Z  
2022-11-23T01:32:37.1236238Z [2022-11-23 01:15:58,895] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1236346Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_55)
2022-11-23T01:32:37.1236433Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1236521Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1236585Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1236672Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1236775Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.1236877Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1236965Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1237040Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.1237249Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1237326Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.1237403Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.1237493Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.1237567Z              26 RETURN_VALUE
2022-11-23T01:32:37.1237574Z 
2022-11-23T01:32:37.1237634Z  
2022-11-23T01:32:37.1237820Z [2022-11-23 01:15:58,896] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1237890Z  - 
2022-11-23T01:32:37.1238008Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1238060Z             {
2022-11-23T01:32:37.1238199Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1238385Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1238504Z                 'obj_weakref': None
2022-11-23T01:32:37.1238728Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1238793Z             }
2022-11-23T01:32:37.1238856Z             
2022-11-23T01:32:37.1238912Z  - 
2022-11-23T01:32:37.1239035Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1239099Z             {
2022-11-23T01:32:37.1239242Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1239347Z                 'code': None,
2022-11-23T01:32:37.1239555Z                 'obj_weakref': <weakref at 0x7f7106a37bf0; to 'Tensor' at 0x7f71069ce6b0>
2022-11-23T01:32:37.1239803Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1239854Z             }
2022-11-23T01:32:37.1239916Z             
2022-11-23T01:32:37.1239986Z  - 
2022-11-23T01:32:37.1240118Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.1240180Z             {
2022-11-23T01:32:37.1240313Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1240468Z                 'code': ['___check_obj_id(model, 140123620589152)'],
2022-11-23T01:32:37.1240585Z                 'obj_weakref': None
2022-11-23T01:32:37.1240810Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.1240878Z             }
2022-11-23T01:32:37.1240942Z             
2022-11-23T01:32:37.1241010Z  - 
2022-11-23T01:32:37.1241130Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1241180Z             {
2022-11-23T01:32:37.1241316Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1241534Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1241655Z                 'obj_weakref': None
2022-11-23T01:32:37.1241872Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1241986Z             }
2022-11-23T01:32:37.1242049Z             
2022-11-23T01:32:37.1242105Z  - 
2022-11-23T01:32:37.1242235Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.1242298Z             {
2022-11-23T01:32:37.1242415Z                 'guard_types': None,
2022-11-23T01:32:37.1242519Z                 'code': None,
2022-11-23T01:32:37.1242634Z                 'obj_weakref': None
2022-11-23T01:32:37.1242789Z                 'guarded_class': None
2022-11-23T01:32:37.1242840Z             }
2022-11-23T01:32:37.1242903Z             
2022-11-23T01:32:37.1243160Z [2022-11-23 01:15:58,908] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 54
2022-11-23T01:32:37.1243530Z [2022-11-23 01:16:01,549] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jf/cjfwqtvxun4b4eobosku4yxipukk2hlw6hup35pr2pnqq3w3kppb.py
2022-11-23T01:32:37.1243791Z [2022-11-23 01:16:01,549] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 54
2022-11-23T01:32:37.1243798Z 
2022-11-23T01:32:37.1243891Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1243958Z import torch
2022-11-23T01:32:37.1244025Z import random
2022-11-23T01:32:37.1244127Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1244246Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1244251Z 
2022-11-23T01:32:37.1244330Z aten = torch.ops.aten
2022-11-23T01:32:37.1244463Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1244555Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1244559Z 
2022-11-23T01:32:37.1244563Z 
2022-11-23T01:32:37.1244696Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1244901Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1245018Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1245108Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.1245204Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.1245265Z {
2022-11-23T01:32:37.1245365Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1245425Z     {
2022-11-23T01:32:37.1245500Z         #pragma omp for 
2022-11-23T01:32:37.1245582Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:37.1245632Z         {
2022-11-23T01:32:37.1245711Z             #pragma GCC ivdep
2022-11-23T01:32:37.1245797Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:37.1245864Z             {
2022-11-23T01:32:37.1245928Z                 {
2022-11-23T01:32:37.1245993Z                     {
2022-11-23T01:32:37.1246159Z                         auto tmp0 = static_cast<long>((-1) + i0);
2022-11-23T01:32:37.1246250Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T01:32:37.1246343Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:32:37.1246443Z                         auto tmp3 = static_cast<long>(8);
2022-11-23T01:32:37.1246542Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T01:32:37.1246705Z                         auto tmp5 = static_cast<long>((-1) + i1);
2022-11-23T01:32:37.1246797Z                         auto tmp6 = tmp5 >= tmp1;
2022-11-23T01:32:37.1246888Z                         auto tmp7 = tmp5 < tmp3;
2022-11-23T01:32:37.1246967Z                         auto tmp8 = tmp2 & tmp4;
2022-11-23T01:32:37.1247059Z                         auto tmp9 = tmp8 & tmp6;
2022-11-23T01:32:37.1247152Z                         auto tmp10 = tmp9 & tmp7;
2022-11-23T01:32:37.1247239Z                         float tmp11 = 6.0;
2022-11-23T01:32:37.1247318Z                         if(tmp10)
2022-11-23T01:32:37.1247386Z                         {
2022-11-23T01:32:37.1247554Z                             auto tmp12 = in_ptr0[(-9) + i1 + (8*i0)];
2022-11-23T01:32:37.1247625Z                             tmp11 = tmp12;
2022-11-23T01:32:37.1247692Z                         }
2022-11-23T01:32:37.1247822Z                         out_ptr0[i1 + (10*i0)] = tmp11;
2022-11-23T01:32:37.1247892Z                     }
2022-11-23T01:32:37.1247957Z                 }
2022-11-23T01:32:37.1248019Z             }
2022-11-23T01:32:37.1248080Z         }
2022-11-23T01:32:37.1248144Z         #pragma omp for 
2022-11-23T01:32:37.1248226Z         for(long i0=0; i0<15; i0+=1)
2022-11-23T01:32:37.1248287Z         {
2022-11-23T01:32:37.1248365Z             #pragma GCC ivdep
2022-11-23T01:32:37.1248477Z             for(long i1=0; i1<11; i1+=1)
2022-11-23T01:32:37.1248541Z             {
2022-11-23T01:32:37.1248604Z                 {
2022-11-23T01:32:37.1248657Z                     {
2022-11-23T01:32:37.1248819Z                         auto tmp0 = static_cast<long>((-3) + i0);
2022-11-23T01:32:37.1248924Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T01:32:37.1249018Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:32:37.1249120Z                         auto tmp3 = static_cast<long>(8);
2022-11-23T01:32:37.1249213Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T01:32:37.1249375Z                         auto tmp5 = static_cast<long>((-1) + i1);
2022-11-23T01:32:37.1249454Z                         auto tmp6 = tmp5 >= tmp1;
2022-11-23T01:32:37.1249543Z                         auto tmp7 = tmp5 < tmp3;
2022-11-23T01:32:37.1249635Z                         auto tmp8 = tmp2 & tmp4;
2022-11-23T01:32:37.1249724Z                         auto tmp9 = tmp8 & tmp6;
2022-11-23T01:32:37.1249816Z                         auto tmp10 = tmp9 & tmp7;
2022-11-23T01:32:37.1249904Z                         float tmp11 = 99.0;
2022-11-23T01:32:37.1249978Z                         if(tmp10)
2022-11-23T01:32:37.1250034Z                         {
2022-11-23T01:32:37.1250204Z                             auto tmp12 = in_ptr0[(-25) + i1 + (8*i0)];
2022-11-23T01:32:37.1250287Z                             tmp11 = tmp12;
2022-11-23T01:32:37.1250357Z                         }
2022-11-23T01:32:37.1250454Z                         out_ptr1[i1 + (11*i0)] = tmp11;
2022-11-23T01:32:37.1250520Z                     }
2022-11-23T01:32:37.1250584Z                 }
2022-11-23T01:32:37.1250634Z             }
2022-11-23T01:32:37.1250695Z         }
2022-11-23T01:32:37.1250756Z     }
2022-11-23T01:32:37.1250815Z }
2022-11-23T01:32:37.1250891Z ''')
2022-11-23T01:32:37.1250896Z 
2022-11-23T01:32:37.1250900Z 
2022-11-23T01:32:37.1250988Z async_compile.wait(globals())
2022-11-23T01:32:37.1251060Z del async_compile
2022-11-23T01:32:37.1251068Z 
2022-11-23T01:32:37.1251124Z def call(args):
2022-11-23T01:32:37.1251194Z     arg0_1, = args
2022-11-23T01:32:37.1251262Z     args.clear()
2022-11-23T01:32:37.1251481Z     buf0 = empty_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1251695Z     buf1 = empty_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1251858Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.1251929Z     del arg0_1
2022-11-23T01:32:37.1252005Z     return (buf0, buf1, )
2022-11-23T01:32:37.1252010Z 
2022-11-23T01:32:37.1252014Z 
2022-11-23T01:32:37.1252077Z if __name__ == "__main__":
2022-11-23T01:32:37.1252189Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1252310Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1252523Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1252629Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.1252634Z 
2022-11-23T01:32:37.1252700Z ok (2.726s)
2022-11-23T01:32:37.1253018Z   test_constant_pad_3d_cpu (__main__.CpuTests) ... [2022-11-23 01:16:01,563] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1253288Z [2022-11-23 01:16:01,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1253528Z [2022-11-23 01:16:01,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1253782Z [2022-11-23 01:16:01,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.1254066Z [2022-11-23 01:16:01,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.1254418Z [2022-11-23 01:16:01,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1254745Z [2022-11-23 01:16:01,564] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f642e1e0, file "inductor/test_torchinductor.py", line 3136> 
2022-11-23T01:32:37.1254841Z  3138           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.1254949Z                2 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:32:37.1255039Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.1255129Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1255204Z                8 LOAD_CONST               2 (2)
2022-11-23T01:32:37.1255291Z               10 LOAD_CONST               3 (3)
2022-11-23T01:32:37.1255377Z               12 LOAD_CONST               4 (4)
2022-11-23T01:32:37.1255462Z               14 LOAD_CONST               5 (5)
2022-11-23T01:32:37.1255548Z               16 LOAD_CONST               6 (6)
2022-11-23T01:32:37.1255636Z               18 BUILD_LIST               6
2022-11-23T01:32:37.1255729Z               20 LOAD_CONST               7 (6.0)
2022-11-23T01:32:37.1255805Z               22 CALL_METHOD              3
2022-11-23T01:32:37.1255823Z 
2022-11-23T01:32:37.1255902Z 3139          24 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.1256007Z               26 LOAD_METHOD              1 (constant_pad_nd)
2022-11-23T01:32:37.1256093Z               28 LOAD_FAST                0 (a)
2022-11-23T01:32:37.1256178Z               30 LOAD_CONST               8 (0)
2022-11-23T01:32:37.1256266Z               32 LOAD_CONST               8 (0)
2022-11-23T01:32:37.1256349Z               34 LOAD_CONST               3 (3)
2022-11-23T01:32:37.1256433Z               36 LOAD_CONST               4 (4)
2022-11-23T01:32:37.1256506Z               38 LOAD_CONST               8 (0)
2022-11-23T01:32:37.1256591Z               40 LOAD_CONST               8 (0)
2022-11-23T01:32:37.1256676Z               42 BUILD_LIST               6
2022-11-23T01:32:37.1256772Z               44 LOAD_CONST               7 (6.0)
2022-11-23T01:32:37.1256858Z               46 CALL_METHOD              3
2022-11-23T01:32:37.1256944Z               48 BUILD_TUPLE              2
2022-11-23T01:32:37.1257020Z               50 RETURN_VALUE
2022-11-23T01:32:37.1257068Z  
2022-11-23T01:32:37.1257073Z 
2022-11-23T01:32:37.1257345Z [2022-11-23 01:16:01,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3138
2022-11-23T01:32:37.1257563Z [2022-11-23 01:16:01,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.1257887Z [2022-11-23 01:16:01,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.1258151Z [2022-11-23 01:16:01,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:32:37.1258448Z [2022-11-23 01:16:01,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:32:37.1258781Z [2022-11-23 01:16:01,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1259150Z [2022-11-23 01:16:01,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1259558Z [2022-11-23 01:16:01,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1260032Z [2022-11-23 01:16:01,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1260538Z [2022-11-23 01:16:01,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1261059Z [2022-11-23 01:16:01,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 6 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1261384Z [2022-11-23 01:16:01,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.1261733Z [2022-11-23 01:16:01,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.1262000Z [2022-11-23 01:16:01,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3139
2022-11-23T01:32:37.1262243Z [2022-11-23 01:16:01,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.1262593Z [2022-11-23 01:16:01,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.1262889Z [2022-11-23 01:16:01,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.constant_pad_nd)]
2022-11-23T01:32:37.1263213Z [2022-11-23 01:16:01,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable()]
2022-11-23T01:32:37.1263573Z [2022-11-23 01:16:01,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1263971Z [2022-11-23 01:16:01,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1264411Z [2022-11-23 01:16:01,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1264977Z [2022-11-23 01:16:01,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1265495Z [2022-11-23 01:16:01,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1266042Z [2022-11-23 01:16:01,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 6 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1266388Z [2022-11-23 01:16:01,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.1266823Z [2022-11-23 01:16:01,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.1267078Z [2022-11-23 01:16:01,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.1267353Z [2022-11-23 01:16:01,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1267682Z [2022-11-23 01:16:01,606] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f642e1e0, file "inductor/test_torchinductor.py", line 3136>
2022-11-23T01:32:37.1267926Z [2022-11-23 01:16:01,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1268157Z [2022-11-23 01:16:01,607] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1268415Z [2022-11-23 01:16:01,609] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1268660Z [2022-11-23 01:16:01,616] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1268848Z [2022-11-23 01:16:01,616] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1268981Z  __compiled_fn_56 <eval_with_key>.360 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1269061Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1269203Z call_function, constant_pad_nd, aten.constant_pad_nd, (ex_0_, [1, 2, 3, 4, 5, 6], 6.0), {}
2022-11-23T01:32:37.1269347Z call_function, constant_pad_nd_1, aten.constant_pad_nd, (ex_0_, [0, 0, 3, 4, 0, 0], 6.0), {}
2022-11-23T01:32:37.1269479Z output, output, output, ((constant_pad_nd, constant_pad_nd_1),), {}
2022-11-23T01:32:37.1269484Z 
2022-11-23T01:32:37.1269759Z [2022-11-23 01:16:01,617] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1269855Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1269946Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1270037Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1270115Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1270191Z               8 RETURN_VALUE
2022-11-23T01:32:37.1270196Z 
2022-11-23T01:32:37.1270256Z  
2022-11-23T01:32:37.1270536Z [2022-11-23 01:16:01,617] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1270643Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_56)
2022-11-23T01:32:37.1270732Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1270820Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1270895Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1270971Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1271073Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.1271176Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1271264Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1271339Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.1271438Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1271524Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.1271587Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.1271676Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.1271750Z              26 RETURN_VALUE
2022-11-23T01:32:37.1271755Z 
2022-11-23T01:32:37.1271815Z  
2022-11-23T01:32:37.1271997Z [2022-11-23 01:16:01,619] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1272067Z  - 
2022-11-23T01:32:37.1272187Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1272238Z             {
2022-11-23T01:32:37.1272377Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1272592Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1272711Z                 'obj_weakref': None
2022-11-23T01:32:37.1272935Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1273000Z             }
2022-11-23T01:32:37.1273063Z             
2022-11-23T01:32:37.1273118Z  - 
2022-11-23T01:32:37.1273241Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1273342Z             {
2022-11-23T01:32:37.1273486Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1273592Z                 'code': None,
2022-11-23T01:32:37.1273797Z                 'obj_weakref': <weakref at 0x7f7106a47cb0; to 'Tensor' at 0x7f71069e4590>
2022-11-23T01:32:37.1274046Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1274112Z             }
2022-11-23T01:32:37.1274162Z             
2022-11-23T01:32:37.1274234Z  - 
2022-11-23T01:32:37.1274363Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.1274426Z             {
2022-11-23T01:32:37.1274557Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1274725Z                 'code': ['___check_obj_id(model, 140125781883504)'],
2022-11-23T01:32:37.1274830Z                 'obj_weakref': None
2022-11-23T01:32:37.1275055Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.1275120Z             }
2022-11-23T01:32:37.1275185Z             
2022-11-23T01:32:37.1275252Z  - 
2022-11-23T01:32:37.1275371Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1275432Z             {
2022-11-23T01:32:37.1275556Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1275772Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1275891Z                 'obj_weakref': None
2022-11-23T01:32:37.1276108Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1276172Z             }
2022-11-23T01:32:37.1276234Z             
2022-11-23T01:32:37.1276300Z  - 
2022-11-23T01:32:37.1276417Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.1276479Z             {
2022-11-23T01:32:37.1276596Z                 'guard_types': None,
2022-11-23T01:32:37.1276702Z                 'code': None,
2022-11-23T01:32:37.1276818Z                 'obj_weakref': None
2022-11-23T01:32:37.1276939Z                 'guarded_class': None
2022-11-23T01:32:37.1277000Z             }
2022-11-23T01:32:37.1277050Z             
2022-11-23T01:32:37.1277492Z [2022-11-23 01:16:01,631] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 55
2022-11-23T01:32:37.1277877Z [2022-11-23 01:16:04,268] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xv/cxvauyvitiqsnjgbrxe4nysdjgqytbdotnjq4t5hh544q33vjsm2.py
2022-11-23T01:32:37.1278136Z [2022-11-23 01:16:04,269] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 55
2022-11-23T01:32:37.1278146Z 
2022-11-23T01:32:37.1278238Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1278307Z import torch
2022-11-23T01:32:37.1278376Z import random
2022-11-23T01:32:37.1278489Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1278596Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1278601Z 
2022-11-23T01:32:37.1278681Z aten = torch.ops.aten
2022-11-23T01:32:37.1278815Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1278967Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1278971Z 
2022-11-23T01:32:37.1278976Z 
2022-11-23T01:32:37.1279110Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1279317Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1279436Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1279606Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.1279692Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.1279754Z {
2022-11-23T01:32:37.1279852Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1279914Z     {
2022-11-23T01:32:37.1280004Z         #pragma omp for  collapse(2)
2022-11-23T01:32:37.1280084Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:37.1280147Z         {
2022-11-23T01:32:37.1280257Z             for(long i1=0; i1<15; i1+=1)
2022-11-23T01:32:37.1280322Z             {
2022-11-23T01:32:37.1280404Z                 #pragma GCC ivdep
2022-11-23T01:32:37.1280493Z                 for(long i2=0; i2<11; i2+=1)
2022-11-23T01:32:37.1280558Z                 {
2022-11-23T01:32:37.1280642Z                     #pragma GCC ivdep
2022-11-23T01:32:37.1280732Z                     for(long i3=0; i3<7; i3+=1)
2022-11-23T01:32:37.1280786Z                     {
2022-11-23T01:32:37.1280854Z                         {
2022-11-23T01:32:37.1280926Z                             {
2022-11-23T01:32:37.1281102Z                                 auto tmp0 = static_cast<long>((-5) + i1);
2022-11-23T01:32:37.1281210Z                                 auto tmp1 = static_cast<long>(0);
2022-11-23T01:32:37.1281308Z                                 auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:32:37.1281413Z                                 auto tmp3 = static_cast<long>(4);
2022-11-23T01:32:37.1281500Z                                 auto tmp4 = tmp0 < tmp3;
2022-11-23T01:32:37.1281673Z                                 auto tmp5 = static_cast<long>((-3) + i2);
2022-11-23T01:32:37.1281771Z                                 auto tmp6 = tmp5 >= tmp1;
2022-11-23T01:32:37.1281869Z                                 auto tmp7 = tmp5 < tmp3;
2022-11-23T01:32:37.1282042Z                                 auto tmp8 = static_cast<long>((-1) + i3);
2022-11-23T01:32:37.1282138Z                                 auto tmp9 = tmp8 >= tmp1;
2022-11-23T01:32:37.1282235Z                                 auto tmp10 = tmp8 < tmp3;
2022-11-23T01:32:37.1282319Z                                 auto tmp11 = tmp2 & tmp4;
2022-11-23T01:32:37.1282419Z                                 auto tmp12 = tmp11 & tmp6;
2022-11-23T01:32:37.1282514Z                                 auto tmp13 = tmp12 & tmp7;
2022-11-23T01:32:37.1282609Z                                 auto tmp14 = tmp13 & tmp9;
2022-11-23T01:32:37.1282709Z                                 auto tmp15 = tmp14 & tmp10;
2022-11-23T01:32:37.1282800Z                                 float tmp16 = 6.0;
2022-11-23T01:32:37.1282882Z                                 if(tmp15)
2022-11-23T01:32:37.1282953Z                                 {
2022-11-23T01:32:37.1283143Z                                     auto tmp17 = in_ptr0[(-93) + i3 + (4*i2) + (16*i1) + (64*i0)];
2022-11-23T01:32:37.1283229Z                                     tmp16 = tmp17;
2022-11-23T01:32:37.1283300Z                                 }
2022-11-23T01:32:37.1283416Z                                 out_ptr0[i3 + (7*i2) + (77*i1) + (1155*i0)] = tmp16;
2022-11-23T01:32:37.1283487Z                             }
2022-11-23T01:32:37.1283554Z                         }
2022-11-23T01:32:37.1283625Z                     }
2022-11-23T01:32:37.1283677Z                 }
2022-11-23T01:32:37.1283739Z             }
2022-11-23T01:32:37.1283801Z         }
2022-11-23T01:32:37.1283877Z         #pragma omp for 
2022-11-23T01:32:37.1283957Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.1284019Z         {
2022-11-23T01:32:37.1284099Z             #pragma GCC ivdep
2022-11-23T01:32:37.1284171Z             for(long i1=0; i1<11; i1+=1)
2022-11-23T01:32:37.1284233Z             {
2022-11-23T01:32:37.1284315Z                 #pragma GCC ivdep
2022-11-23T01:32:37.1284403Z                 for(long i2=0; i2<4; i2+=1)
2022-11-23T01:32:37.1284467Z                 {
2022-11-23T01:32:37.1284532Z                     {
2022-11-23T01:32:37.1284587Z                         {
2022-11-23T01:32:37.1284758Z                             auto tmp0 = static_cast<long>((-3) + i1);
2022-11-23T01:32:37.1284899Z                             auto tmp1 = static_cast<long>(0);
2022-11-23T01:32:37.1284997Z                             auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:32:37.1285102Z                             auto tmp3 = static_cast<long>(4);
2022-11-23T01:32:37.1285195Z                             auto tmp4 = tmp0 < tmp3;
2022-11-23T01:32:37.1285288Z                             auto tmp5 = tmp2 & tmp4;
2022-11-23T01:32:37.1285405Z                             float tmp6 = 6.0;
2022-11-23T01:32:37.1285470Z                             if(tmp5)
2022-11-23T01:32:37.1285539Z                             {
2022-11-23T01:32:37.1285723Z                                 auto tmp7 = in_ptr0[(-12) + i2 + (4*i1) + (16*i0)];
2022-11-23T01:32:37.1285807Z                                 tmp6 = tmp7;
2022-11-23T01:32:37.1285877Z                             }
2022-11-23T01:32:37.1285979Z                             out_ptr1[i2 + (4*i1) + (44*i0)] = tmp6;
2022-11-23T01:32:37.1286049Z                         }
2022-11-23T01:32:37.1286102Z                     }
2022-11-23T01:32:37.1286167Z                 }
2022-11-23T01:32:37.1286229Z             }
2022-11-23T01:32:37.1286291Z         }
2022-11-23T01:32:37.1286352Z     }
2022-11-23T01:32:37.1286411Z }
2022-11-23T01:32:37.1286475Z ''')
2022-11-23T01:32:37.1286493Z 
2022-11-23T01:32:37.1286497Z 
2022-11-23T01:32:37.1286573Z async_compile.wait(globals())
2022-11-23T01:32:37.1286644Z del async_compile
2022-11-23T01:32:37.1286651Z 
2022-11-23T01:32:37.1286722Z def call(args):
2022-11-23T01:32:37.1286790Z     arg0_1, = args
2022-11-23T01:32:37.1286860Z     args.clear()
2022-11-23T01:32:37.1287074Z     buf0 = empty_strided((2, 15, 11, 7), (1155, 77, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1287285Z     buf1 = empty_strided((2, 4, 11, 4), (176, 44, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1287434Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.1287503Z     del arg0_1
2022-11-23T01:32:37.1287580Z     return (buf0, buf1, )
2022-11-23T01:32:37.1287585Z 
2022-11-23T01:32:37.1287589Z 
2022-11-23T01:32:37.1287664Z if __name__ == "__main__":
2022-11-23T01:32:37.1287778Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1287901Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1288115Z     arg0_1 = rand_strided((2, 4, 4, 4), (64, 16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1288221Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.1288226Z 
2022-11-23T01:32:37.1288280Z ok (2.723s)
2022-11-23T01:32:37.1288619Z   test_conv2d_backward_channels_last_cpu (__main__.CpuTests) ... [2022-11-23 01:16:04,375] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1288887Z [2022-11-23 01:16:04,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1289110Z [2022-11-23 01:16:04,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1289360Z [2022-11-23 01:16:04,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.1289644Z [2022-11-23 01:16:04,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.1289969Z [2022-11-23 01:16:04,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1290297Z [2022-11-23 01:16:04,376] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6406ed0, file "inductor/test_torchinductor.py", line 1865> 
2022-11-23T01:32:37.1290392Z  1866           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.1290483Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:37.1290562Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:37.1290721Z                6 LOAD_ATTR                3 (convolution_backward)
2022-11-23T01:32:37.1290817Z                8 LOAD_METHOD              4 (default)
2022-11-23T01:32:37.1290822Z 
2022-11-23T01:32:37.1290925Z 1867          10 LOAD_FAST                0 (grad_output)
2022-11-23T01:32:37.1290931Z 
2022-11-23T01:32:37.1291055Z 1868          12 LOAD_FAST                1 (inp)
2022-11-23T01:32:37.1291062Z 
2022-11-23T01:32:37.1291181Z 1869          14 LOAD_FAST                2 (weight)
2022-11-23T01:32:37.1291219Z 
2022-11-23T01:32:37.1291309Z 1870          16 LOAD_CONST               1 (320)
2022-11-23T01:32:37.1291395Z               18 BUILD_LIST               1
2022-11-23T01:32:37.1291400Z 
2022-11-23T01:32:37.1291487Z 1871          20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.1291563Z               22 LOAD_CONST               2 (1)
2022-11-23T01:32:37.1291649Z               24 BUILD_LIST               2
2022-11-23T01:32:37.1291653Z 
2022-11-23T01:32:37.1291742Z 1872          26 LOAD_CONST               3 (0)
2022-11-23T01:32:37.1291830Z               28 LOAD_CONST               3 (0)
2022-11-23T01:32:37.1291914Z               30 BUILD_LIST               2
2022-11-23T01:32:37.1291919Z 
2022-11-23T01:32:37.1292004Z 1873          32 LOAD_CONST               2 (1)
2022-11-23T01:32:37.1292089Z               34 LOAD_CONST               2 (1)
2022-11-23T01:32:37.1292161Z               36 BUILD_LIST               2
2022-11-23T01:32:37.1292178Z 
2022-11-23T01:32:37.1292258Z 1874          38 LOAD_CONST               4 (False)
2022-11-23T01:32:37.1292264Z 
2022-11-23T01:32:37.1292386Z 1875          40 LOAD_CONST               3 (0)
2022-11-23T01:32:37.1292497Z               42 LOAD_CONST               3 (0)
2022-11-23T01:32:37.1292587Z               44 BUILD_LIST               2
2022-11-23T01:32:37.1292592Z 
2022-11-23T01:32:37.1292677Z 1876          46 LOAD_CONST               2 (1)
2022-11-23T01:32:37.1292681Z 
2022-11-23T01:32:37.1292771Z 1877          48 LOAD_CONST               5 (True)
2022-11-23T01:32:37.1292863Z               50 LOAD_CONST               5 (True)
2022-11-23T01:32:37.1292951Z               52 LOAD_CONST               5 (True)
2022-11-23T01:32:37.1293022Z               54 BUILD_LIST               3
2022-11-23T01:32:37.1293108Z               56 CALL_METHOD             11
2022-11-23T01:32:37.1293227Z               58 STORE_FAST               3 (convolution_backward_8)
2022-11-23T01:32:37.1293232Z 
2022-11-23T01:32:37.1293350Z 1879          60 LOAD_FAST                3 (convolution_backward_8)
2022-11-23T01:32:37.1293426Z               62 RETURN_VALUE
2022-11-23T01:32:37.1293486Z  
2022-11-23T01:32:37.1293491Z 
2022-11-23T01:32:37.1293769Z [2022-11-23 01:16:04,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1866
2022-11-23T01:32:37.1293989Z [2022-11-23 01:16:04,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.1294337Z [2022-11-23 01:16:04,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.1294633Z [2022-11-23 01:16:04,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:37.1294961Z [2022-11-23 01:16:04,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.1295248Z [2022-11-23 01:16:04,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.convolution_backward)]
2022-11-23T01:32:37.1295512Z [2022-11-23 01:16:04,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1867
2022-11-23T01:32:37.1295817Z [2022-11-23 01:16:04,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.convolution_backward.default)]
2022-11-23T01:32:37.1296079Z [2022-11-23 01:16:04,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1868
2022-11-23T01:32:37.1296439Z [2022-11-23 01:16:04,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST inp [TorchVariable(aten.convolution_backward.default), TensorVariable()]
2022-11-23T01:32:37.1296704Z [2022-11-23 01:16:04,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1869
2022-11-23T01:32:37.1297091Z [2022-11-23 01:16:04,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST weight [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.1297357Z [2022-11-23 01:16:04,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1870
2022-11-23T01:32:37.1297720Z [2022-11-23 01:16:04,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 320 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.1298137Z [2022-11-23 01:16:04,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1298401Z [2022-11-23 01:16:04,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1871
2022-11-23T01:32:37.1298807Z [2022-11-23 01:16:04,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.1299241Z [2022-11-23 01:16:04,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1299717Z [2022-11-23 01:16:04,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1299982Z [2022-11-23 01:16:04,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1872
2022-11-23T01:32:37.1300405Z [2022-11-23 01:16:04,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.1300865Z [2022-11-23 01:16:04,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1301368Z [2022-11-23 01:16:04,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1301681Z [2022-11-23 01:16:04,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1873
2022-11-23T01:32:37.1302332Z [2022-11-23 01:16:04,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.1302827Z [2022-11-23 01:16:04,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1303348Z [2022-11-23 01:16:04,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1303660Z [2022-11-23 01:16:04,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1874
2022-11-23T01:32:37.1304139Z [2022-11-23 01:16:04,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.1304416Z [2022-11-23 01:16:04,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1875
2022-11-23T01:32:37.1305016Z [2022-11-23 01:16:04,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.1305570Z [2022-11-23 01:16:04,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T01:32:37.1306159Z [2022-11-23 01:16:04,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1306424Z [2022-11-23 01:16:04,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1876
2022-11-23T01:32:37.1306958Z [2022-11-23 01:16:04,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()]
2022-11-23T01:32:37.1307221Z [2022-11-23 01:16:04,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1877
2022-11-23T01:32:37.1307809Z [2022-11-23 01:16:04,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1308429Z [2022-11-23 01:16:04,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:37.1309088Z [2022-11-23 01:16:04,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:37.1309787Z [2022-11-23 01:16:04,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:37.1310390Z [2022-11-23 01:16:04,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 11 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ListVariable()]
2022-11-23T01:32:37.1310700Z [2022-11-23 01:16:04,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convolution_backward_8 [TupleVariable()]
2022-11-23T01:32:37.1310964Z [2022-11-23 01:16:04,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1879
2022-11-23T01:32:37.1311211Z [2022-11-23 01:16:04,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convolution_backward_8 []
2022-11-23T01:32:37.1311483Z [2022-11-23 01:16:04,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1311814Z [2022-11-23 01:16:04,413] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6406ed0, file "inductor/test_torchinductor.py", line 1865>
2022-11-23T01:32:37.1312056Z [2022-11-23 01:16:04,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1312290Z [2022-11-23 01:16:04,413] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1312533Z [2022-11-23 01:16:04,417] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1312779Z [2022-11-23 01:16:04,429] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1312966Z [2022-11-23 01:16:04,430] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1313103Z  __compiled_fn_57 <eval_with_key>.366 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1313193Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1313279Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.1313362Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.1313579Z call_function, convolution_backward_default, aten.convolution_backward.default, (ex_0_, ex_1_, ex_2_, [320], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}
2022-11-23T01:32:37.1313795Z call_function, getitem, <built-in function getitem>, (convolution_backward_default, 0), {}
2022-11-23T01:32:37.1314027Z call_function, getitem_1, <built-in function getitem>, (convolution_backward_default, 1), {}
2022-11-23T01:32:37.1314257Z call_function, getitem_2, <built-in function getitem>, (convolution_backward_default, 2), {}
2022-11-23T01:32:37.1314381Z output, output, output, ((getitem, getitem_1, getitem_2),), {}
2022-11-23T01:32:37.1314386Z 
2022-11-23T01:32:37.1314663Z [2022-11-23 01:16:04,431] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1314756Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1314846Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1314937Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1315015Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1315090Z               8 RETURN_VALUE
2022-11-23T01:32:37.1315095Z 
2022-11-23T01:32:37.1315154Z  
2022-11-23T01:32:37.1315429Z [2022-11-23 01:16:04,431] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1315537Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_57)
2022-11-23T01:32:37.1315627Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1315716Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1315795Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1315870Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1315960Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.1316037Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.1316125Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1316210Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.1316284Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.1316372Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.1316463Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.1316600Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1316689Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1316766Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.1316864Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1316950Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:37.1317026Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.1317282Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1317373Z              38 LOAD_CONST               3 (2)
2022-11-23T01:32:37.1317447Z              40 BINARY_SUBSCR
2022-11-23T01:32:37.1317534Z              42 BUILD_TUPLE              3
2022-11-23T01:32:37.1317608Z              44 RETURN_VALUE
2022-11-23T01:32:37.1317614Z 
2022-11-23T01:32:37.1317674Z  
2022-11-23T01:32:37.1317860Z [2022-11-23 01:16:04,434] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1317916Z  - 
2022-11-23T01:32:37.1318035Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1318101Z             {
2022-11-23T01:32:37.1318242Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1318428Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 3'],
2022-11-23T01:32:37.1318560Z                 'obj_weakref': None
2022-11-23T01:32:37.1318851Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1318904Z             }
2022-11-23T01:32:37.1318969Z             
2022-11-23T01:32:37.1319040Z  - 
2022-11-23T01:32:37.1319164Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1319227Z             {
2022-11-23T01:32:37.1319370Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1319476Z                 'code': None,
2022-11-23T01:32:37.1319671Z                 'obj_weakref': <weakref at 0x7f7106a477d0; to 'Tensor' at 0x7f7106a47d70>
2022-11-23T01:32:37.1319918Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1319984Z             }
2022-11-23T01:32:37.1320049Z             
2022-11-23T01:32:37.1320116Z  - 
2022-11-23T01:32:37.1320237Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.1320300Z             {
2022-11-23T01:32:37.1320427Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1320533Z                 'code': None,
2022-11-23T01:32:37.1320736Z                 'obj_weakref': <weakref at 0x7f71069a6770; to 'Tensor' at 0x7f7106a47770>
2022-11-23T01:32:37.1320979Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1321042Z             }
2022-11-23T01:32:37.1321102Z             
2022-11-23T01:32:37.1321171Z  - 
2022-11-23T01:32:37.1321280Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.1321341Z             {
2022-11-23T01:32:37.1321480Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1321585Z                 'code': None,
2022-11-23T01:32:37.1321789Z                 'obj_weakref': <weakref at 0x7f710699b6b0; to 'Tensor' at 0x7f7106a47650>
2022-11-23T01:32:37.1322030Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1322092Z             }
2022-11-23T01:32:37.1322141Z             
2022-11-23T01:32:37.1322208Z  - 
2022-11-23T01:32:37.1322337Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.1322399Z             {
2022-11-23T01:32:37.1322532Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1322698Z                 'code': ['___check_obj_id(model, 140125776713632)'],
2022-11-23T01:32:37.1322816Z                 'obj_weakref': None
2022-11-23T01:32:37.1323031Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.1323094Z             }
2022-11-23T01:32:37.1323154Z             
2022-11-23T01:32:37.1323221Z  - 
2022-11-23T01:32:37.1323405Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1323466Z             {
2022-11-23T01:32:37.1323600Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1323805Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1323922Z                 'obj_weakref': None
2022-11-23T01:32:37.1324141Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1324235Z             }
2022-11-23T01:32:37.1324303Z             
2022-11-23T01:32:37.1324371Z  - 
2022-11-23T01:32:37.1324504Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.1324553Z             {
2022-11-23T01:32:37.1324672Z                 'guard_types': None,
2022-11-23T01:32:37.1324776Z                 'code': None,
2022-11-23T01:32:37.1324893Z                 'obj_weakref': None
2022-11-23T01:32:37.1325012Z                 'guarded_class': None
2022-11-23T01:32:37.1325074Z             }
2022-11-23T01:32:37.1325139Z             
2022-11-23T01:32:37.1325384Z [2022-11-23 01:16:04,455] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 56
2022-11-23T01:32:37.1325747Z [2022-11-23 01:16:07,082] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mj/cmj7idzz6dyrcn5n5rble5enqjenx7exx7ya5p2z5ogkdqehonnj.py
2022-11-23T01:32:37.1326010Z [2022-11-23 01:16:07,082] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 56
2022-11-23T01:32:37.1326017Z 
2022-11-23T01:32:37.1326109Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1326178Z import torch
2022-11-23T01:32:37.1326247Z import random
2022-11-23T01:32:37.1326361Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1326484Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1326489Z 
2022-11-23T01:32:37.1326553Z aten = torch.ops.aten
2022-11-23T01:32:37.1326684Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1326777Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1326781Z 
2022-11-23T01:32:37.1326786Z 
2022-11-23T01:32:37.1326919Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1327124Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1327241Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1327344Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.1327445Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.1327528Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.1327588Z {
2022-11-23T01:32:37.1327684Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1327745Z     {
2022-11-23T01:32:37.1327834Z         #pragma omp for  collapse(2)
2022-11-23T01:32:37.1327914Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:37.1327977Z         {
2022-11-23T01:32:37.1328050Z             for(long i1=0; i1<320; i1+=1)
2022-11-23T01:32:37.1328114Z             {
2022-11-23T01:32:37.1328195Z                 #pragma GCC ivdep
2022-11-23T01:32:37.1328285Z                 for(long i2=0; i2<64; i2+=1)
2022-11-23T01:32:37.1328349Z                 {
2022-11-23T01:32:37.1328415Z                     {
2022-11-23T01:32:37.1328483Z                         {
2022-11-23T01:32:37.1328581Z                             auto tmp0 = in_ptr0[i2 + (64*i1) + (20480*i0)];
2022-11-23T01:32:37.1328689Z                             out_ptr0[i1 + (320*i2) + (20480*i0)] = tmp0;
2022-11-23T01:32:37.1328756Z                         }
2022-11-23T01:32:37.1328822Z                     }
2022-11-23T01:32:37.1328885Z                 }
2022-11-23T01:32:37.1328947Z             }
2022-11-23T01:32:37.1328997Z         }
2022-11-23T01:32:37.1329087Z         #pragma omp for  collapse(2)
2022-11-23T01:32:37.1329166Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:37.1329226Z         {
2022-11-23T01:32:37.1329313Z             for(long i1=0; i1<2048; i1+=1)
2022-11-23T01:32:37.1329407Z             {
2022-11-23T01:32:37.1329488Z                 #pragma GCC ivdep
2022-11-23T01:32:37.1329564Z                 for(long i2=0; i2<64; i2+=1)
2022-11-23T01:32:37.1329627Z                 {
2022-11-23T01:32:37.1329692Z                     {
2022-11-23T01:32:37.1329760Z                         {
2022-11-23T01:32:37.1329874Z                             auto tmp0 = in_ptr1[i2 + (64*i1) + (131072*i0)];
2022-11-23T01:32:37.1330010Z                             out_ptr1[i1 + (2048*i2) + (131072*i0)] = tmp0;
2022-11-23T01:32:37.1330078Z                         }
2022-11-23T01:32:37.1330131Z                     }
2022-11-23T01:32:37.1330194Z                 }
2022-11-23T01:32:37.1330255Z             }
2022-11-23T01:32:37.1330316Z         }
2022-11-23T01:32:37.1330376Z     }
2022-11-23T01:32:37.1330435Z }
2022-11-23T01:32:37.1330513Z ''')
2022-11-23T01:32:37.1330518Z 
2022-11-23T01:32:37.1330522Z 
2022-11-23T01:32:37.1330599Z async_compile.wait(globals())
2022-11-23T01:32:37.1330669Z del async_compile
2022-11-23T01:32:37.1330677Z 
2022-11-23T01:32:37.1330745Z def call(args):
2022-11-23T01:32:37.1330828Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.1330897Z     args.clear()
2022-11-23T01:32:37.1331122Z     buf0 = empty_strided((2, 320, 8, 8), (20480, 1, 2560, 320), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1331349Z     buf1 = empty_strided((2, 2048, 8, 8), (131072, 1, 16384, 2048), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1331542Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.1331596Z     del arg0_1
2022-11-23T01:32:37.1331662Z     del arg1_1
2022-11-23T01:32:37.1331827Z     buf2 = aten.convolution_backward(buf0, buf1, arg2_1, [320], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True])
2022-11-23T01:32:37.1331893Z     del arg2_1
2022-11-23T01:32:37.1331957Z     del buf0
2022-11-23T01:32:37.1332019Z     del buf1
2022-11-23T01:32:37.1332088Z     buf3 = buf2[0]
2022-11-23T01:32:37.1332190Z     assert_size_stride(buf3, (2, 2048, 8, 8), (131072, 1, 16384, 2048))
2022-11-23T01:32:37.1332258Z     buf4 = buf2[1]
2022-11-23T01:32:37.1332370Z     assert_size_stride(buf4, (320, 2048, 1, 1), (2048, 1, 2048, 2048))
2022-11-23T01:32:37.1332437Z     buf5 = buf2[2]
2022-11-23T01:32:37.1332533Z     assert_size_stride(buf5, (320, ), (1, ))
2022-11-23T01:32:37.1332596Z     del buf2
2022-11-23T01:32:37.1332678Z     return (buf3, buf4, buf5, )
2022-11-23T01:32:37.1332683Z 
2022-11-23T01:32:37.1332689Z 
2022-11-23T01:32:37.1332752Z if __name__ == "__main__":
2022-11-23T01:32:37.1332863Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1332984Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1333205Z     arg0_1 = rand_strided((2, 320, 8, 8), (20480, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1333423Z     arg1_1 = rand_strided((2, 2048, 8, 8), (131072, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1333649Z     arg2_1 = rand_strided((320, 2048, 1, 1), (2048, 1, 2048, 2048), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1333770Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.1333774Z 
2022-11-23T01:32:37.1333839Z ok (3.050s)
2022-11-23T01:32:37.1334014Z   test_conv2d_binary_cpu (__main__.CpuTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s)
2022-11-23T01:32:37.1334338Z   test_conv2d_channels_last_cpu (__main__.CpuTests) ... [2022-11-23 01:16:07,338] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1334607Z [2022-11-23 01:16:07,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1334825Z [2022-11-23 01:16:07,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1335068Z [2022-11-23 01:16:07,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.1335378Z [2022-11-23 01:16:07,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.1335692Z [2022-11-23 01:16:07,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1336054Z [2022-11-23 01:16:07,349] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f64bb810, file "inductor/test_torchinductor.py", line 169> 
2022-11-23T01:32:37.1336148Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:32:37.1336238Z               2 BUILD_TUPLE              1
2022-11-23T01:32:37.1336301Z               4 RETURN_VALUE
2022-11-23T01:32:37.1336361Z  
2022-11-23T01:32:37.1336366Z 
2022-11-23T01:32:37.1336632Z [2022-11-23 01:16:07,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:170
2022-11-23T01:32:37.1336840Z [2022-11-23 01:16:07,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.1337083Z [2022-11-23 01:16:07,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:37.1337327Z [2022-11-23 01:16:07,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1337662Z [2022-11-23 01:16:07,349] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f64bb810, file "inductor/test_torchinductor.py", line 169>
2022-11-23T01:32:37.1337908Z [2022-11-23 01:16:07,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1338140Z [2022-11-23 01:16:07,349] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1338380Z [2022-11-23 01:16:07,351] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1338627Z [2022-11-23 01:16:07,362] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1338815Z [2022-11-23 01:16:07,363] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1338947Z  __compiled_fn_58 <eval_with_key>.372 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1339035Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1339133Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.1339230Z output, output, output, ((model_0,),), {}
2022-11-23T01:32:37.1339236Z 
2022-11-23T01:32:37.1339512Z [2022-11-23 01:16:07,363] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1339593Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1339682Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1339775Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1339863Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1339939Z               8 RETURN_VALUE
2022-11-23T01:32:37.1339944Z 
2022-11-23T01:32:37.1340006Z  
2022-11-23T01:32:37.1340277Z [2022-11-23 01:16:07,364] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1340384Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_58)
2022-11-23T01:32:37.1340460Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1340548Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1340625Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1340715Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1340817Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.1340917Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1341003Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1341066Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.1341152Z              18 BUILD_TUPLE              1
2022-11-23T01:32:37.1341230Z              20 RETURN_VALUE
2022-11-23T01:32:37.1341275Z 
2022-11-23T01:32:37.1341336Z  
2022-11-23T01:32:37.1341517Z [2022-11-23 01:16:07,365] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1341585Z  - 
2022-11-23T01:32:37.1341705Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1341757Z             {
2022-11-23T01:32:37.1341895Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1342083Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1342231Z                 'obj_weakref': None
2022-11-23T01:32:37.1342457Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1342521Z             }
2022-11-23T01:32:37.1342584Z             
2022-11-23T01:32:37.1342640Z  - 
2022-11-23T01:32:37.1342762Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1342826Z             {
2022-11-23T01:32:37.1342967Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1343072Z                 'code': None,
2022-11-23T01:32:37.1343282Z                 'obj_weakref': <weakref at 0x7f71068ce0b0; to 'Tensor' at 0x7f71068ce170>
2022-11-23T01:32:37.1343530Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1343581Z             }
2022-11-23T01:32:37.1343643Z             
2022-11-23T01:32:37.1343711Z  - 
2022-11-23T01:32:37.1343828Z             local 'model' NN_MODULE
2022-11-23T01:32:37.1343891Z             {
2022-11-23T01:32:37.1344028Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1344197Z                 'code': ['___check_obj_id(model, 140123088021136)'],
2022-11-23T01:32:37.1344399Z                 'obj_weakref': <weakref at 0x7f710699b1d0; to 'Sequential' at 0x7f70f2e2e690>
2022-11-23T01:32:37.1344729Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.1344791Z             }
2022-11-23T01:32:37.1344854Z             
2022-11-23T01:32:37.1344924Z  - 
2022-11-23T01:32:37.1345044Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1345106Z             {
2022-11-23T01:32:37.1345228Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1345445Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1345562Z                 'obj_weakref': None
2022-11-23T01:32:37.1345781Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1345844Z             }
2022-11-23T01:32:37.1345906Z             
2022-11-23T01:32:37.1345973Z  - 
2022-11-23T01:32:37.1346105Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.1346168Z             {
2022-11-23T01:32:37.1346287Z                 'guard_types': None,
2022-11-23T01:32:37.1346397Z                 'code': None,
2022-11-23T01:32:37.1346513Z                 'obj_weakref': None
2022-11-23T01:32:37.1346633Z                 'guarded_class': None
2022-11-23T01:32:37.1346697Z             }
2022-11-23T01:32:37.1346747Z             
2022-11-23T01:32:37.1346814Z  - 
2022-11-23T01:32:37.1346956Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.1347018Z             {
2022-11-23T01:32:37.1347136Z                 'guard_types': None,
2022-11-23T01:32:37.1347240Z                 'code': None,
2022-11-23T01:32:37.1347343Z                 'obj_weakref': None
2022-11-23T01:32:37.1347462Z                 'guarded_class': None
2022-11-23T01:32:37.1347526Z             }
2022-11-23T01:32:37.1347588Z             
2022-11-23T01:32:37.1347846Z [2022-11-23 01:16:07,400] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 57
2022-11-23T01:32:37.1348215Z [2022-11-23 01:16:09,947] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lm/clmxzwm6wyqg4w2xfl3jdzgcu6ieosxa5kcqv2i4ydfck763kv6j.py
2022-11-23T01:32:37.1348478Z [2022-11-23 01:16:09,947] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 57
2022-11-23T01:32:37.1348752Z [2022-11-23 01:16:09,959] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1349017Z [2022-11-23 01:16:09,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1349222Z [2022-11-23 01:16:09,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1349490Z [2022-11-23 01:16:09,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.1349768Z [2022-11-23 01:16:09,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.1350083Z [2022-11-23 01:16:09,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1350415Z [2022-11-23 01:16:09,969] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f64bb810, file "inductor/test_torchinductor.py", line 169> 
2022-11-23T01:32:37.1350510Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:32:37.1350599Z               2 BUILD_TUPLE              1
2022-11-23T01:32:37.1350675Z               4 RETURN_VALUE
2022-11-23T01:32:37.1350723Z  
2022-11-23T01:32:37.1350729Z 
2022-11-23T01:32:37.1350993Z [2022-11-23 01:16:09,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:170
2022-11-23T01:32:37.1351203Z [2022-11-23 01:16:09,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.1351443Z [2022-11-23 01:16:09,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:37.1351688Z [2022-11-23 01:16:09,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1352028Z [2022-11-23 01:16:09,969] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f64bb810, file "inductor/test_torchinductor.py", line 169>
2022-11-23T01:32:37.1352273Z [2022-11-23 01:16:09,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1352506Z [2022-11-23 01:16:09,970] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1352757Z [2022-11-23 01:16:09,971] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1353006Z [2022-11-23 01:16:09,980] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1353183Z [2022-11-23 01:16:09,981] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1353315Z  __compiled_fn_59 <eval_with_key>.383 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1353402Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1353500Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.1353598Z output, output, output, ((model_0,),), {}
2022-11-23T01:32:37.1353606Z 
2022-11-23T01:32:37.1353883Z [2022-11-23 01:16:09,982] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1353975Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1354065Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1354145Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1354234Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1354314Z               8 RETURN_VALUE
2022-11-23T01:32:37.1354319Z 
2022-11-23T01:32:37.1354381Z  
2022-11-23T01:32:37.1354659Z [2022-11-23 01:16:09,982] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1354764Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_59)
2022-11-23T01:32:37.1354854Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1354930Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1355006Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1355132Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1355235Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.1355335Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1355422Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1355498Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.1355574Z              18 BUILD_TUPLE              1
2022-11-23T01:32:37.1355674Z              20 RETURN_VALUE
2022-11-23T01:32:37.1355680Z 
2022-11-23T01:32:37.1355740Z  
2022-11-23T01:32:37.1355920Z [2022-11-23 01:16:09,983] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1355988Z  - 
2022-11-23T01:32:37.1356106Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1356169Z             {
2022-11-23T01:32:37.1356297Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1356480Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1356599Z                 'obj_weakref': None
2022-11-23T01:32:37.1356825Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1356890Z             }
2022-11-23T01:32:37.1356952Z             
2022-11-23T01:32:37.1357020Z  - 
2022-11-23T01:32:37.1357252Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1357346Z             {
2022-11-23T01:32:37.1357513Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1357622Z                 'code': None,
2022-11-23T01:32:37.1357833Z                 'obj_weakref': <weakref at 0x7f7106c58590; to 'Tensor' at 0x7f71068ce290>
2022-11-23T01:32:37.1358081Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1358145Z             }
2022-11-23T01:32:37.1358208Z             
2022-11-23T01:32:37.1358264Z  - 
2022-11-23T01:32:37.1358383Z             local 'model' NN_MODULE
2022-11-23T01:32:37.1358446Z             {
2022-11-23T01:32:37.1358580Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1358749Z                 'code': ['___check_obj_id(model, 140123088021136)'],
2022-11-23T01:32:37.1358967Z                 'obj_weakref': <weakref at 0x7f710699b1d0; to 'Sequential' at 0x7f70f2e2e690>
2022-11-23T01:32:37.1359199Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.1359250Z             }
2022-11-23T01:32:37.1359315Z             
2022-11-23T01:32:37.1359384Z  - 
2022-11-23T01:32:37.1359505Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1359568Z             {
2022-11-23T01:32:37.1359703Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1359918Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1360023Z                 'obj_weakref': None
2022-11-23T01:32:37.1360239Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1360304Z             }
2022-11-23T01:32:37.1360367Z             
2022-11-23T01:32:37.1360435Z  - 
2022-11-23T01:32:37.1360578Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.1360628Z             {
2022-11-23T01:32:37.1360746Z                 'guard_types': None,
2022-11-23T01:32:37.1360851Z                 'code': None,
2022-11-23T01:32:37.1360970Z                 'obj_weakref': None
2022-11-23T01:32:37.1361093Z                 'guarded_class': None
2022-11-23T01:32:37.1361155Z             }
2022-11-23T01:32:37.1361217Z             
2022-11-23T01:32:37.1361272Z  - 
2022-11-23T01:32:37.1361415Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.1361477Z             {
2022-11-23T01:32:37.1361597Z                 'guard_types': None,
2022-11-23T01:32:37.1361701Z                 'code': None,
2022-11-23T01:32:37.1361816Z                 'obj_weakref': None
2022-11-23T01:32:37.1361936Z                 'guarded_class': None
2022-11-23T01:32:37.1362066Z             }
2022-11-23T01:32:37.1362129Z             
2022-11-23T01:32:37.1362389Z [2022-11-23 01:16:10,019] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 58
2022-11-23T01:32:37.1362761Z [2022-11-23 01:16:10,029] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xb/cxbj3hirr7xylvclh7isjhyntuhkerp4gp7njbdfg5mg3vqew5ky.py
2022-11-23T01:32:37.1363076Z [2022-11-23 01:16:10,029] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 58
2022-11-23T01:32:37.1363315Z [2022-11-23 01:16:10,036] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1363579Z [2022-11-23 01:16:10,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1363797Z [2022-11-23 01:16:10,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1364027Z [2022-11-23 01:16:10,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.1364304Z [2022-11-23 01:16:10,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.1364619Z [2022-11-23 01:16:10,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1364972Z [2022-11-23 01:16:10,044] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f64bb810, file "inductor/test_torchinductor.py", line 169> 
2022-11-23T01:32:37.1365093Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:32:37.1365219Z               2 BUILD_TUPLE              1
2022-11-23T01:32:37.1365315Z               4 RETURN_VALUE
2022-11-23T01:32:37.1365403Z  
2022-11-23T01:32:37.1365410Z 
2022-11-23T01:32:37.1365789Z [2022-11-23 01:16:10,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:170
2022-11-23T01:32:37.1366168Z [2022-11-23 01:16:10,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.1366594Z [2022-11-23 01:16:10,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:37.1366846Z [2022-11-23 01:16:10,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1367190Z [2022-11-23 01:16:10,045] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f64bb810, file "inductor/test_torchinductor.py", line 169>
2022-11-23T01:32:37.1367435Z [2022-11-23 01:16:10,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1367670Z [2022-11-23 01:16:10,045] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1367923Z [2022-11-23 01:16:10,046] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1368174Z [2022-11-23 01:16:10,056] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1368368Z [2022-11-23 01:16:10,057] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1368488Z  __compiled_fn_60 <eval_with_key>.394 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1368577Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1368677Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.1368776Z output, output, output, ((model_0,),), {}
2022-11-23T01:32:37.1368783Z 
2022-11-23T01:32:37.1369059Z [2022-11-23 01:16:10,057] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1369151Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1369241Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1369332Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1369409Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1369534Z               8 RETURN_VALUE
2022-11-23T01:32:37.1369539Z 
2022-11-23T01:32:37.1369602Z  
2022-11-23T01:32:37.1369878Z [2022-11-23 01:16:10,057] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1369984Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_60)
2022-11-23T01:32:37.1370072Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1370161Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1370268Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1370345Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1370448Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.1370546Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1370637Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1370712Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.1370802Z              18 BUILD_TUPLE              1
2022-11-23T01:32:37.1370880Z              20 RETURN_VALUE
2022-11-23T01:32:37.1370885Z 
2022-11-23T01:32:37.1370932Z  
2022-11-23T01:32:37.1371114Z [2022-11-23 01:16:10,058] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1371182Z  - 
2022-11-23T01:32:37.1371303Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1371367Z             {
2022-11-23T01:32:37.1371506Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1371692Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1371798Z                 'obj_weakref': None
2022-11-23T01:32:37.1372021Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1372084Z             }
2022-11-23T01:32:37.1372148Z             
2022-11-23T01:32:37.1372216Z  - 
2022-11-23T01:32:37.1372338Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1372401Z             {
2022-11-23T01:32:37.1372530Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1372637Z                 'code': None,
2022-11-23T01:32:37.1372845Z                 'obj_weakref': <weakref at 0x7f7106c58830; to 'Tensor' at 0x7f7106a0c770>
2022-11-23T01:32:37.1373094Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1373158Z             }
2022-11-23T01:32:37.1373220Z             
2022-11-23T01:32:37.1373287Z  - 
2022-11-23T01:32:37.1373394Z             local 'model' NN_MODULE
2022-11-23T01:32:37.1373457Z             {
2022-11-23T01:32:37.1373589Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1373757Z                 'code': ['___check_obj_id(model, 140123088021136)'],
2022-11-23T01:32:37.1373972Z                 'obj_weakref': <weakref at 0x7f710699b1d0; to 'Sequential' at 0x7f70f2e2e690>
2022-11-23T01:32:37.1374204Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.1374268Z             }
2022-11-23T01:32:37.1374318Z             
2022-11-23T01:32:37.1374386Z  - 
2022-11-23T01:32:37.1374508Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1374570Z             {
2022-11-23T01:32:37.1374705Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1374922Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1375037Z                 'obj_weakref': None
2022-11-23T01:32:37.1375249Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1375312Z             }
2022-11-23T01:32:37.1375374Z             
2022-11-23T01:32:37.1375445Z  - 
2022-11-23T01:32:37.1375589Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.1375651Z             {
2022-11-23T01:32:37.1375770Z                 'guard_types': None,
2022-11-23T01:32:37.1375862Z                 'code': None,
2022-11-23T01:32:37.1375980Z                 'obj_weakref': None
2022-11-23T01:32:37.1376132Z                 'guarded_class': None
2022-11-23T01:32:37.1376196Z             }
2022-11-23T01:32:37.1376257Z             
2022-11-23T01:32:37.1376323Z  - 
2022-11-23T01:32:37.1376467Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.1376517Z             {
2022-11-23T01:32:37.1376634Z                 'guard_types': None,
2022-11-23T01:32:37.1376742Z                 'code': None,
2022-11-23T01:32:37.1376857Z                 'obj_weakref': None
2022-11-23T01:32:37.1377003Z                 'guarded_class': None
2022-11-23T01:32:37.1377067Z             }
2022-11-23T01:32:37.1377116Z             
2022-11-23T01:32:37.1377372Z [2022-11-23 01:16:10,116] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 59
2022-11-23T01:32:37.1377743Z [2022-11-23 01:16:10,124] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xb/cxbj3hirr7xylvclh7isjhyntuhkerp4gp7njbdfg5mg3vqew5ky.py
2022-11-23T01:32:37.1378007Z [2022-11-23 01:16:10,124] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 59
2022-11-23T01:32:37.1378016Z 
2022-11-23T01:32:37.1378110Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1378179Z import torch
2022-11-23T01:32:37.1378247Z import random
2022-11-23T01:32:37.1378361Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1378469Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1378486Z 
2022-11-23T01:32:37.1378553Z aten = torch.ops.aten
2022-11-23T01:32:37.1378686Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1378778Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1378783Z 
2022-11-23T01:32:37.1378788Z 
2022-11-23T01:32:37.1378920Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1379125Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1379242Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1379343Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.1379403Z {
2022-11-23T01:32:37.1379488Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1379548Z     {
2022-11-23T01:32:37.1379639Z         #pragma omp for  collapse(3)
2022-11-23T01:32:37.1379720Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:37.1379781Z         {
2022-11-23T01:32:37.1379862Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:37.1379912Z             {
2022-11-23T01:32:37.1380003Z                 for(long i2=0; i2<256; i2+=1)
2022-11-23T01:32:37.1380068Z                 {
2022-11-23T01:32:37.1380134Z                     {
2022-11-23T01:32:37.1380202Z                         {
2022-11-23T01:32:37.1380313Z                             auto tmp0 = in_ptr0[i2 + (256*i1) + (768*i0)];
2022-11-23T01:32:37.1380418Z                             out_ptr0[i1 + (3*i2) + (768*i0)] = tmp0;
2022-11-23T01:32:37.1380474Z                         }
2022-11-23T01:32:37.1380539Z                     }
2022-11-23T01:32:37.1380605Z                 }
2022-11-23T01:32:37.1380667Z             }
2022-11-23T01:32:37.1380729Z         }
2022-11-23T01:32:37.1380790Z     }
2022-11-23T01:32:37.1380849Z }
2022-11-23T01:32:37.1380914Z ''')
2022-11-23T01:32:37.1380919Z 
2022-11-23T01:32:37.1380923Z 
2022-11-23T01:32:37.1381011Z async_compile.wait(globals())
2022-11-23T01:32:37.1381083Z del async_compile
2022-11-23T01:32:37.1381087Z 
2022-11-23T01:32:37.1381156Z def call(args):
2022-11-23T01:32:37.1381261Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:32:37.1381334Z     args.clear()
2022-11-23T01:32:37.1381547Z     buf0 = empty_strided((2, 3, 16, 16), (768, 1, 48, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1381670Z     kernel_cpp_0(c_void_p(primals_3.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.1381813Z     buf1 = aten.convolution(buf0, primals_1, primals_2, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:37.1381920Z     assert_size_stride(buf1, (2, 3, 16, 16), (768, 1, 48, 3))
2022-11-23T01:32:37.1382018Z     del buf0
2022-11-23T01:32:37.1382089Z     del primals_2
2022-11-23T01:32:37.1382187Z     return (buf1, primals_1, primals_3, )
2022-11-23T01:32:37.1382192Z 
2022-11-23T01:32:37.1382198Z 
2022-11-23T01:32:37.1382272Z if __name__ == "__main__":
2022-11-23T01:32:37.1382384Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1382493Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1382735Z     primals_1 = rand_strided((3, 3, 1, 1), (3, 1, 3, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1382933Z     primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1383155Z     primals_3 = rand_strided((2, 3, 16, 16), (768, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1383294Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:32:37.1383299Z 
2022-11-23T01:32:37.1383303Z 
2022-11-23T01:32:37.1383397Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1383467Z import torch
2022-11-23T01:32:37.1383536Z import random
2022-11-23T01:32:37.1383638Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1383758Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1383762Z 
2022-11-23T01:32:37.1383839Z aten = torch.ops.aten
2022-11-23T01:32:37.1383974Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1384065Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1384072Z 
2022-11-23T01:32:37.1384076Z 
2022-11-23T01:32:37.1384164Z async_compile.wait(globals())
2022-11-23T01:32:37.1384235Z del async_compile
2022-11-23T01:32:37.1384240Z 
2022-11-23T01:32:37.1384308Z def call(args):
2022-11-23T01:32:37.1384395Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:32:37.1384550Z     args.clear()
2022-11-23T01:32:37.1384706Z     buf0 = aten.convolution(primals_3, primals_1, primals_2, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:37.1384813Z     assert_size_stride(buf0, (2, 3, 16, 16), (768, 1, 48, 3))
2022-11-23T01:32:37.1384887Z     del primals_2
2022-11-23T01:32:37.1384985Z     return (buf0, primals_1, primals_3, )
2022-11-23T01:32:37.1384990Z 
2022-11-23T01:32:37.1384994Z 
2022-11-23T01:32:37.1385069Z if __name__ == "__main__":
2022-11-23T01:32:37.1385181Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1385289Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1385506Z     primals_1 = rand_strided((3, 3, 1, 1), (3, 1, 3, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1385702Z     primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1385921Z     primals_3 = rand_strided((2, 3, 16, 16), (768, 1, 48, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1386059Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:32:37.1386065Z 
2022-11-23T01:32:37.1386069Z 
2022-11-23T01:32:37.1386163Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1386235Z import torch
2022-11-23T01:32:37.1386304Z import random
2022-11-23T01:32:37.1386405Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1386523Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1386528Z 
2022-11-23T01:32:37.1386605Z aten = torch.ops.aten
2022-11-23T01:32:37.1386743Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1386835Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1386839Z 
2022-11-23T01:32:37.1386846Z 
2022-11-23T01:32:37.1386932Z async_compile.wait(globals())
2022-11-23T01:32:37.1387004Z del async_compile
2022-11-23T01:32:37.1387009Z 
2022-11-23T01:32:37.1387078Z def call(args):
2022-11-23T01:32:37.1387166Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:32:37.1387237Z     args.clear()
2022-11-23T01:32:37.1387387Z     buf0 = aten.convolution(primals_3, primals_1, primals_2, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:37.1387496Z     assert_size_stride(buf0, (2, 3, 16, 16), (768, 1, 48, 3))
2022-11-23T01:32:37.1387601Z     del primals_2
2022-11-23T01:32:37.1387700Z     return (buf0, primals_1, primals_3, )
2022-11-23T01:32:37.1387705Z 
2022-11-23T01:32:37.1387709Z 
2022-11-23T01:32:37.1387783Z if __name__ == "__main__":
2022-11-23T01:32:37.1387894Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1388001Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1388245Z     primals_1 = rand_strided((3, 3, 1, 1), (3, 1, 3, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1388444Z     primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1388665Z     primals_3 = rand_strided((2, 3, 16, 16), (768, 1, 48, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1388799Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:32:37.1388804Z 
2022-11-23T01:32:37.1388873Z ok (2.797s)
2022-11-23T01:32:37.1389061Z   test_conv2d_unary_cpu (__main__.CpuTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T01:32:37.1389388Z   test_conv3d_channels_last_cpu (__main__.CpuTests) ... [2022-11-23 01:16:10,139] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1389657Z [2022-11-23 01:16:10,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1389863Z [2022-11-23 01:16:10,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1390107Z [2022-11-23 01:16:10,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.1390381Z [2022-11-23 01:16:10,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.1390696Z [2022-11-23 01:16:10,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1391030Z [2022-11-23 01:16:10,147] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f64bb810, file "inductor/test_torchinductor.py", line 169> 
2022-11-23T01:32:37.1391122Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:32:37.1391212Z               2 BUILD_TUPLE              1
2022-11-23T01:32:37.1391288Z               4 RETURN_VALUE
2022-11-23T01:32:37.1391336Z  
2022-11-23T01:32:37.1391354Z 
2022-11-23T01:32:37.1391611Z [2022-11-23 01:16:10,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:170
2022-11-23T01:32:37.1391820Z [2022-11-23 01:16:10,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.1392062Z [2022-11-23 01:16:10,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:37.1392310Z [2022-11-23 01:16:10,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1392650Z [2022-11-23 01:16:10,148] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f64bb810, file "inductor/test_torchinductor.py", line 169>
2022-11-23T01:32:37.1393004Z [2022-11-23 01:16:10,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1393252Z [2022-11-23 01:16:10,148] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1393506Z [2022-11-23 01:16:10,149] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1393754Z [2022-11-23 01:16:10,158] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1393928Z [2022-11-23 01:16:10,159] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1394060Z  __compiled_fn_61 <eval_with_key>.405 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1394153Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1394255Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.1394394Z output, output, output, ((model_0,),), {}
2022-11-23T01:32:37.1394399Z 
2022-11-23T01:32:37.1394676Z [2022-11-23 01:16:10,159] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1394769Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1394859Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1394968Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1395060Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1395139Z               8 RETURN_VALUE
2022-11-23T01:32:37.1395144Z 
2022-11-23T01:32:37.1395204Z  
2022-11-23T01:32:37.1395481Z [2022-11-23 01:16:10,159] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1395587Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_61)
2022-11-23T01:32:37.1395676Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1395755Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1395831Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1395917Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1396021Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.1396123Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1396213Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1396291Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.1396366Z              18 BUILD_TUPLE              1
2022-11-23T01:32:37.1396441Z              20 RETURN_VALUE
2022-11-23T01:32:37.1396446Z 
2022-11-23T01:32:37.1396506Z  
2022-11-23T01:32:37.1396688Z [2022-11-23 01:16:10,160] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1396756Z  - 
2022-11-23T01:32:37.1396873Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1396936Z             {
2022-11-23T01:32:37.1397063Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1397352Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1397474Z                 'obj_weakref': None
2022-11-23T01:32:37.1397700Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1397763Z             }
2022-11-23T01:32:37.1397826Z             
2022-11-23T01:32:37.1397894Z  - 
2022-11-23T01:32:37.1398005Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1398071Z             {
2022-11-23T01:32:37.1398211Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1398316Z                 'code': None,
2022-11-23T01:32:37.1398524Z                 'obj_weakref': <weakref at 0x7f7106c9ff50; to 'Tensor' at 0x7f7106cc6230>
2022-11-23T01:32:37.1398770Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1398834Z             }
2022-11-23T01:32:37.1398896Z             
2022-11-23T01:32:37.1398954Z  - 
2022-11-23T01:32:37.1399072Z             local 'model' NN_MODULE
2022-11-23T01:32:37.1399136Z             {
2022-11-23T01:32:37.1399271Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1399441Z                 'code': ['___check_obj_id(model, 140123426487312)'],
2022-11-23T01:32:37.1399657Z                 'obj_weakref': <weakref at 0x7f7106c44950; to 'Sequential' at 0x7f71070f7c10>
2022-11-23T01:32:37.1399890Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.1399940Z             }
2022-11-23T01:32:37.1400005Z             
2022-11-23T01:32:37.1400071Z  - 
2022-11-23T01:32:37.1400193Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1400254Z             {
2022-11-23T01:32:37.1400389Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1400659Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1400847Z                 'obj_weakref': None
2022-11-23T01:32:37.1401064Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1401128Z             }
2022-11-23T01:32:37.1401191Z             
2022-11-23T01:32:37.1401260Z  - 
2022-11-23T01:32:37.1401406Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.1401469Z             {
2022-11-23T01:32:37.1401575Z                 'guard_types': None,
2022-11-23T01:32:37.1401724Z                 'code': None,
2022-11-23T01:32:37.1401846Z                 'obj_weakref': None
2022-11-23T01:32:37.1401968Z                 'guarded_class': None
2022-11-23T01:32:37.1402031Z             }
2022-11-23T01:32:37.1402093Z             
2022-11-23T01:32:37.1402148Z  - 
2022-11-23T01:32:37.1402291Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.1402352Z             {
2022-11-23T01:32:37.1402475Z                 'guard_types': None,
2022-11-23T01:32:37.1402580Z                 'code': None,
2022-11-23T01:32:37.1402701Z                 'obj_weakref': None
2022-11-23T01:32:37.1402820Z                 'guarded_class': None
2022-11-23T01:32:37.1402869Z             }
2022-11-23T01:32:37.1402931Z             
2022-11-23T01:32:37.1403188Z [2022-11-23 01:16:10,194] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 60
2022-11-23T01:32:37.1403629Z [2022-11-23 01:16:12,725] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yr/cyrygq3d37qnzcz7kdfav2eiqrppkk5ow5qkfa5nnnox2www5s7f.py
2022-11-23T01:32:37.1403948Z [2022-11-23 01:16:12,726] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 60
2022-11-23T01:32:37.1404224Z [2022-11-23 01:16:12,750] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1404491Z [2022-11-23 01:16:12,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1404707Z [2022-11-23 01:16:12,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1404953Z [2022-11-23 01:16:12,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.1405215Z [2022-11-23 01:16:12,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.1405531Z [2022-11-23 01:16:12,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1405866Z [2022-11-23 01:16:12,760] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f64bb810, file "inductor/test_torchinductor.py", line 169> 
2022-11-23T01:32:37.1405962Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:32:37.1406053Z               2 BUILD_TUPLE              1
2022-11-23T01:32:37.1406129Z               4 RETURN_VALUE
2022-11-23T01:32:37.1406189Z  
2022-11-23T01:32:37.1406196Z 
2022-11-23T01:32:37.1406464Z [2022-11-23 01:16:12,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:170
2022-11-23T01:32:37.1406660Z [2022-11-23 01:16:12,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.1406904Z [2022-11-23 01:16:12,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:37.1407150Z [2022-11-23 01:16:12,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1407485Z [2022-11-23 01:16:12,760] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f64bb810, file "inductor/test_torchinductor.py", line 169>
2022-11-23T01:32:37.1407729Z [2022-11-23 01:16:12,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1407961Z [2022-11-23 01:16:12,760] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1408212Z [2022-11-23 01:16:12,762] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1408504Z [2022-11-23 01:16:12,772] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1408692Z [2022-11-23 01:16:12,772] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1408813Z  __compiled_fn_62 <eval_with_key>.416 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1408904Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1409051Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.1409151Z output, output, output, ((model_0,),), {}
2022-11-23T01:32:37.1409156Z 
2022-11-23T01:32:37.1409432Z [2022-11-23 01:16:12,772] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1409526Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1409615Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1409705Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1409785Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1409861Z               8 RETURN_VALUE
2022-11-23T01:32:37.1409866Z 
2022-11-23T01:32:37.1409927Z  
2022-11-23T01:32:37.1410202Z [2022-11-23 01:16:12,773] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1410309Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_62)
2022-11-23T01:32:37.1410398Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1410485Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1410561Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1410636Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1410740Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.1410844Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1410933Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1411012Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.1411100Z              18 BUILD_TUPLE              1
2022-11-23T01:32:37.1411174Z              20 RETURN_VALUE
2022-11-23T01:32:37.1411179Z 
2022-11-23T01:32:37.1411225Z  
2022-11-23T01:32:37.1411405Z [2022-11-23 01:16:12,774] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1411474Z  - 
2022-11-23T01:32:37.1411593Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1411656Z             {
2022-11-23T01:32:37.1411797Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1411982Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1412088Z                 'obj_weakref': None
2022-11-23T01:32:37.1412309Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1412372Z             }
2022-11-23T01:32:37.1412436Z             
2022-11-23T01:32:37.1412503Z  - 
2022-11-23T01:32:37.1412626Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1412689Z             {
2022-11-23T01:32:37.1412818Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1412923Z                 'code': None,
2022-11-23T01:32:37.1413132Z                 'obj_weakref': <weakref at 0x7f7106cd6410; to 'Tensor' at 0x7f7106d1aef0>
2022-11-23T01:32:37.1413381Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1413447Z             }
2022-11-23T01:32:37.1413510Z             
2022-11-23T01:32:37.1413578Z  - 
2022-11-23T01:32:37.1413684Z             local 'model' NN_MODULE
2022-11-23T01:32:37.1413746Z             {
2022-11-23T01:32:37.1413878Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1414047Z                 'code': ['___check_obj_id(model, 140123426487312)'],
2022-11-23T01:32:37.1414260Z                 'obj_weakref': <weakref at 0x7f7106c44950; to 'Sequential' at 0x7f71070f7c10>
2022-11-23T01:32:37.1414528Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.1414591Z             }
2022-11-23T01:32:37.1414641Z             
2022-11-23T01:32:37.1414707Z  - 
2022-11-23T01:32:37.1414827Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1414889Z             {
2022-11-23T01:32:37.1415022Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1415268Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1415388Z                 'obj_weakref': None
2022-11-23T01:32:37.1415595Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1415659Z             }
2022-11-23T01:32:37.1415720Z             
2022-11-23T01:32:37.1415787Z  - 
2022-11-23T01:32:37.1415932Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.1415994Z             {
2022-11-23T01:32:37.1416111Z                 'guard_types': None,
2022-11-23T01:32:37.1416206Z                 'code': None,
2022-11-23T01:32:37.1416322Z                 'obj_weakref': None
2022-11-23T01:32:37.1416440Z                 'guarded_class': None
2022-11-23T01:32:37.1416502Z             }
2022-11-23T01:32:37.1416563Z             
2022-11-23T01:32:37.1416630Z  - 
2022-11-23T01:32:37.1416773Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.1416822Z             {
2022-11-23T01:32:37.1416938Z                 'guard_types': None,
2022-11-23T01:32:37.1417049Z                 'code': None,
2022-11-23T01:32:37.1417165Z                 'obj_weakref': None
2022-11-23T01:32:37.1417283Z                 'guarded_class': None
2022-11-23T01:32:37.1417345Z             }
2022-11-23T01:32:37.1417394Z             
2022-11-23T01:32:37.1417651Z [2022-11-23 01:16:12,809] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 61
2022-11-23T01:32:37.1418015Z [2022-11-23 01:16:15,407] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i2/ci2i3aoflze3kf6ztzpyen4l7mfcgcvyy6ynqw2ldczxncx6pf3u.py
2022-11-23T01:32:37.1418276Z [2022-11-23 01:16:15,408] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 61
2022-11-23T01:32:37.1418510Z [2022-11-23 01:16:15,467] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1418779Z [2022-11-23 01:16:15,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1418997Z [2022-11-23 01:16:15,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1419240Z [2022-11-23 01:16:15,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.1419514Z [2022-11-23 01:16:15,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.1419827Z [2022-11-23 01:16:15,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1420149Z [2022-11-23 01:16:15,477] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f64bb810, file "inductor/test_torchinductor.py", line 169> 
2022-11-23T01:32:37.1420240Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:32:37.1420330Z               2 BUILD_TUPLE              1
2022-11-23T01:32:37.1420408Z               4 RETURN_VALUE
2022-11-23T01:32:37.1420469Z  
2022-11-23T01:32:37.1420476Z 
2022-11-23T01:32:37.1420739Z [2022-11-23 01:16:15,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:170
2022-11-23T01:32:37.1420944Z [2022-11-23 01:16:15,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.1421182Z [2022-11-23 01:16:15,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:37.1421414Z [2022-11-23 01:16:15,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1421780Z [2022-11-23 01:16:15,477] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f64bb810, file "inductor/test_torchinductor.py", line 169>
2022-11-23T01:32:37.1422024Z [2022-11-23 01:16:15,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1422257Z [2022-11-23 01:16:15,477] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1422538Z [2022-11-23 01:16:15,479] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1422786Z [2022-11-23 01:16:15,488] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1422971Z [2022-11-23 01:16:15,489] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1423104Z  __compiled_fn_63 <eval_with_key>.427 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1423195Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1423280Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.1423378Z output, output, output, ((model_0,),), {}
2022-11-23T01:32:37.1423384Z 
2022-11-23T01:32:37.1423659Z [2022-11-23 01:16:15,489] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1423757Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1423848Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1423940Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1424029Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1424105Z               8 RETURN_VALUE
2022-11-23T01:32:37.1424111Z 
2022-11-23T01:32:37.1424159Z  
2022-11-23T01:32:37.1424513Z [2022-11-23 01:16:15,489] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1424633Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_63)
2022-11-23T01:32:37.1424726Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1424814Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1424891Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1424977Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1425067Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.1425168Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1425257Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1425334Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.1425422Z              18 BUILD_TUPLE              1
2022-11-23T01:32:37.1425497Z              20 RETURN_VALUE
2022-11-23T01:32:37.1425502Z 
2022-11-23T01:32:37.1425561Z  
2022-11-23T01:32:37.1425744Z [2022-11-23 01:16:15,490] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1425801Z  - 
2022-11-23T01:32:37.1425918Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1425986Z             {
2022-11-23T01:32:37.1426125Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1426310Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1426428Z                 'obj_weakref': None
2022-11-23T01:32:37.1426652Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1426704Z             }
2022-11-23T01:32:37.1426767Z             
2022-11-23T01:32:37.1426838Z  - 
2022-11-23T01:32:37.1426960Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1427023Z             {
2022-11-23T01:32:37.1427163Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1427255Z                 'code': None,
2022-11-23T01:32:37.1427460Z                 'obj_weakref': <weakref at 0x7f7106d09830; to 'Tensor' at 0x7f7106cd6bf0>
2022-11-23T01:32:37.1427708Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1427810Z             }
2022-11-23T01:32:37.1427875Z             
2022-11-23T01:32:37.1427944Z  - 
2022-11-23T01:32:37.1428064Z             local 'model' NN_MODULE
2022-11-23T01:32:37.1428113Z             {
2022-11-23T01:32:37.1428246Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1428413Z                 'code': ['___check_obj_id(model, 140123426487312)'],
2022-11-23T01:32:37.1428657Z                 'obj_weakref': <weakref at 0x7f7106c44950; to 'Sequential' at 0x7f71070f7c10>
2022-11-23T01:32:37.1428892Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.1428955Z             }
2022-11-23T01:32:37.1429018Z             
2022-11-23T01:32:37.1429087Z  - 
2022-11-23T01:32:37.1429195Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1429257Z             {
2022-11-23T01:32:37.1429396Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1429613Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1429731Z                 'obj_weakref': None
2022-11-23T01:32:37.1429948Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1430011Z             }
2022-11-23T01:32:37.1430060Z             
2022-11-23T01:32:37.1430127Z  - 
2022-11-23T01:32:37.1430272Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.1430335Z             {
2022-11-23T01:32:37.1430456Z                 'guard_types': None,
2022-11-23T01:32:37.1430560Z                 'code': None,
2022-11-23T01:32:37.1430677Z                 'obj_weakref': None
2022-11-23T01:32:37.1430784Z                 'guarded_class': None
2022-11-23T01:32:37.1430845Z             }
2022-11-23T01:32:37.1430906Z             
2022-11-23T01:32:37.1430974Z  - 
2022-11-23T01:32:37.1431117Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.1431179Z             {
2022-11-23T01:32:37.1431284Z                 'guard_types': None,
2022-11-23T01:32:37.1431391Z                 'code': None,
2022-11-23T01:32:37.1431507Z                 'obj_weakref': None
2022-11-23T01:32:37.1431627Z                 'guarded_class': None
2022-11-23T01:32:37.1431689Z             }
2022-11-23T01:32:37.1431752Z             
2022-11-23T01:32:37.1432007Z [2022-11-23 01:16:15,523] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 62
2022-11-23T01:32:37.1432362Z [2022-11-23 01:16:15,548] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i2/ci2i3aoflze3kf6ztzpyen4l7mfcgcvyy6ynqw2ldczxncx6pf3u.py
2022-11-23T01:32:37.1432621Z [2022-11-23 01:16:15,548] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 62
2022-11-23T01:32:37.1432626Z 
2022-11-23T01:32:37.1432718Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1432785Z import torch
2022-11-23T01:32:37.1432854Z import random
2022-11-23T01:32:37.1432969Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1433091Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1433096Z 
2022-11-23T01:32:37.1433174Z aten = torch.ops.aten
2022-11-23T01:32:37.1433295Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1433388Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1433393Z 
2022-11-23T01:32:37.1433397Z 
2022-11-23T01:32:37.1433530Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1433739Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1433858Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1433957Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.1434017Z {
2022-11-23T01:32:37.1434114Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1434162Z     {
2022-11-23T01:32:37.1434238Z         #pragma omp for 
2022-11-23T01:32:37.1434319Z         for(long i0=0; i0<9; i0+=1)
2022-11-23T01:32:37.1434416Z         {
2022-11-23T01:32:37.1434479Z             {
2022-11-23T01:32:37.1434543Z                 {
2022-11-23T01:32:37.1434635Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.1434708Z                     out_ptr0[i0] = tmp0;
2022-11-23T01:32:37.1434776Z                 }
2022-11-23T01:32:37.1434840Z             }
2022-11-23T01:32:37.1434902Z         }
2022-11-23T01:32:37.1434962Z     }
2022-11-23T01:32:37.1435020Z }
2022-11-23T01:32:37.1435085Z ''')
2022-11-23T01:32:37.1435090Z 
2022-11-23T01:32:37.1435134Z 
2022-11-23T01:32:37.1435211Z async_compile.wait(globals())
2022-11-23T01:32:37.1435280Z del async_compile
2022-11-23T01:32:37.1435285Z 
2022-11-23T01:32:37.1435357Z def call(args):
2022-11-23T01:32:37.1435458Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:32:37.1435528Z     args.clear()
2022-11-23T01:32:37.1435741Z     buf0 = empty_strided((3, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1435879Z     kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.1436018Z     buf1 = aten.convolution(primals_3, buf0, primals_2, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T01:32:37.1436129Z     assert_size_stride(buf1, (2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1))
2022-11-23T01:32:37.1436193Z     del buf0
2022-11-23T01:32:37.1436266Z     del primals_2
2022-11-23T01:32:37.1436363Z     return (buf1, primals_1, primals_3, )
2022-11-23T01:32:37.1436368Z 
2022-11-23T01:32:37.1436372Z 
2022-11-23T01:32:37.1436449Z if __name__ == "__main__":
2022-11-23T01:32:37.1436562Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1436683Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1436893Z     primals_1 = rand_strided((3, 3, 1, 1, 1), (3, 1, 3, 3, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1437089Z     primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1437493Z     primals_3 = rand_strided((2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1437634Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:32:37.1437639Z 
2022-11-23T01:32:37.1437643Z 
2022-11-23T01:32:37.1437735Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1437804Z import torch
2022-11-23T01:32:37.1437873Z import random
2022-11-23T01:32:37.1437987Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1438098Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1438102Z 
2022-11-23T01:32:37.1438180Z aten = torch.ops.aten
2022-11-23T01:32:37.1438313Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1438404Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1438409Z 
2022-11-23T01:32:37.1438413Z 
2022-11-23T01:32:37.1438546Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1438754Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1438875Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1438978Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.1439063Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.1439158Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.1439218Z {
2022-11-23T01:32:37.1439315Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1439376Z     {
2022-11-23T01:32:37.1439453Z         #pragma omp for 
2022-11-23T01:32:37.1439535Z         for(long i0=0; i0<9; i0+=1)
2022-11-23T01:32:37.1439586Z         {
2022-11-23T01:32:37.1439648Z             {
2022-11-23T01:32:37.1439714Z                 {
2022-11-23T01:32:37.1439805Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.1439889Z                     out_ptr0[i0] = tmp0;
2022-11-23T01:32:37.1439953Z                 }
2022-11-23T01:32:37.1440014Z             }
2022-11-23T01:32:37.1440063Z         }
2022-11-23T01:32:37.1440218Z         #pragma omp for  collapse(3)
2022-11-23T01:32:37.1440300Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:37.1440361Z         {
2022-11-23T01:32:37.1440442Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:37.1440504Z             {
2022-11-23T01:32:37.1440582Z                 for(long i2=0; i2<4096; i2+=1)
2022-11-23T01:32:37.1440645Z                 {
2022-11-23T01:32:37.1440711Z                     {
2022-11-23T01:32:37.1440779Z                         {
2022-11-23T01:32:37.1440928Z                             auto tmp0 = in_ptr1[i1 + (3*i2) + (12288*i0)];
2022-11-23T01:32:37.1441034Z                             out_ptr1[i2 + (4096*i1) + (12288*i0)] = tmp0;
2022-11-23T01:32:37.1441102Z                         }
2022-11-23T01:32:37.1441156Z                     }
2022-11-23T01:32:37.1441219Z                 }
2022-11-23T01:32:37.1441281Z             }
2022-11-23T01:32:37.1441343Z         }
2022-11-23T01:32:37.1441405Z     }
2022-11-23T01:32:37.1441464Z }
2022-11-23T01:32:37.1441544Z ''')
2022-11-23T01:32:37.1441549Z 
2022-11-23T01:32:37.1441553Z 
2022-11-23T01:32:37.1441629Z async_compile.wait(globals())
2022-11-23T01:32:37.1441700Z del async_compile
2022-11-23T01:32:37.1441705Z 
2022-11-23T01:32:37.1441774Z def call(args):
2022-11-23T01:32:37.1441873Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:32:37.1441944Z     args.clear()
2022-11-23T01:32:37.1442158Z     buf0 = empty_strided((3, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1442390Z     buf1 = empty_strided((2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1442591Z     kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.1442723Z     buf2 = aten.convolution(buf1, buf0, primals_2, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T01:32:37.1442835Z     assert_size_stride(buf2, (2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1))
2022-11-23T01:32:37.1442901Z     del buf0
2022-11-23T01:32:37.1442964Z     del buf1
2022-11-23T01:32:37.1443035Z     del primals_2
2022-11-23T01:32:37.1443133Z     return (buf2, primals_1, primals_3, )
2022-11-23T01:32:37.1443138Z 
2022-11-23T01:32:37.1443142Z 
2022-11-23T01:32:37.1443216Z if __name__ == "__main__":
2022-11-23T01:32:37.1443329Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1443438Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1443661Z     primals_1 = rand_strided((3, 3, 1, 1, 1), (3, 1, 3, 3, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1443862Z     primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1444091Z     primals_3 = rand_strided((2, 3, 16, 16, 16), (12288, 1, 768, 48, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1444228Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:32:37.1444233Z 
2022-11-23T01:32:37.1444237Z 
2022-11-23T01:32:37.1444332Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1444402Z import torch
2022-11-23T01:32:37.1444470Z import random
2022-11-23T01:32:37.1444570Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1444690Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1444695Z 
2022-11-23T01:32:37.1444772Z aten = torch.ops.aten
2022-11-23T01:32:37.1444903Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1444995Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1445000Z 
2022-11-23T01:32:37.1445004Z 
2022-11-23T01:32:37.1445134Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1445337Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1445454Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1445544Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.1445642Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.1445768Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.1445828Z {
2022-11-23T01:32:37.1445923Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1445984Z     {
2022-11-23T01:32:37.1446060Z         #pragma omp for 
2022-11-23T01:32:37.1446129Z         for(long i0=0; i0<9; i0+=1)
2022-11-23T01:32:37.1446193Z         {
2022-11-23T01:32:37.1446255Z             {
2022-11-23T01:32:37.1446320Z                 {
2022-11-23T01:32:37.1446440Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.1446526Z                     out_ptr0[i0] = tmp0;
2022-11-23T01:32:37.1446590Z                 }
2022-11-23T01:32:37.1446641Z             }
2022-11-23T01:32:37.1446716Z         }
2022-11-23T01:32:37.1446836Z         #pragma omp for  collapse(3)
2022-11-23T01:32:37.1446945Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:37.1447028Z         {
2022-11-23T01:32:37.1447133Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:37.1447426Z             {
2022-11-23T01:32:37.1447721Z                 for(long i2=0; i2<4096; i2+=1)
2022-11-23T01:32:37.1447986Z                 {
2022-11-23T01:32:37.1448264Z                     {
2022-11-23T01:32:37.1448486Z                         {
2022-11-23T01:32:37.1448764Z                             auto tmp0 = in_ptr1[i1 + (3*i2) + (12288*i0)];
2022-11-23T01:32:37.1449143Z                             out_ptr1[i2 + (4096*i1) + (12288*i0)] = tmp0;
2022-11-23T01:32:37.1449447Z                         }
2022-11-23T01:32:37.1449684Z                     }
2022-11-23T01:32:37.1449884Z                 }
2022-11-23T01:32:37.1450101Z             }
2022-11-23T01:32:37.1450309Z         }
2022-11-23T01:32:37.1450500Z     }
2022-11-23T01:32:37.1450744Z }
2022-11-23T01:32:37.1451049Z ''')
2022-11-23T01:32:37.1451191Z 
2022-11-23T01:32:37.1451202Z 
2022-11-23T01:32:37.1451361Z async_compile.wait(globals())
2022-11-23T01:32:37.1451685Z del async_compile
2022-11-23T01:32:37.1451856Z 
2022-11-23T01:32:37.1451971Z def call(args):
2022-11-23T01:32:37.1452335Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:32:37.1452628Z     args.clear()
2022-11-23T01:32:37.1453203Z     buf0 = empty_strided((3, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1453909Z     buf1 = empty_strided((2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1454519Z     kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.1455136Z     buf2 = aten.convolution(buf1, buf0, primals_2, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T01:32:37.1455612Z     assert_size_stride(buf2, (2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1))
2022-11-23T01:32:37.1455976Z     del buf0
2022-11-23T01:32:37.1456247Z     del buf1
2022-11-23T01:32:37.1456505Z     del primals_2
2022-11-23T01:32:37.1456806Z     return (buf2, primals_1, primals_3, )
2022-11-23T01:32:37.1457048Z 
2022-11-23T01:32:37.1457064Z 
2022-11-23T01:32:37.1457203Z if __name__ == "__main__":
2022-11-23T01:32:37.1457560Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1457852Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1458251Z     primals_1 = rand_strided((3, 3, 1, 1, 1), (3, 1, 3, 3, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1458604Z     primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1458997Z     primals_3 = rand_strided((2, 3, 16, 16, 16), (12288, 1, 768, 48, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1459302Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:32:37.1459470Z 
2022-11-23T01:32:37.1459536Z ok (5.433s)
2022-11-23T01:32:37.1459761Z   test_conv_autotune_cpu (__main__.CpuTests) ... skip: requires cuda (0.002s)
2022-11-23T01:32:37.1460240Z   test_conv_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:16:15,584] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1460814Z [2022-11-23 01:16:15,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1461223Z [2022-11-23 01:16:15,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1461652Z [2022-11-23 01:16:15,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.1462198Z [2022-11-23 01:16:15,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.1462741Z [2022-11-23 01:16:15,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1463296Z [2022-11-23 01:16:15,586] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f63c6db0, file "inductor/test_torchinductor.py", line 4279> 
2022-11-23T01:32:37.1463627Z  4281           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.1463867Z                2 LOAD_ATTR                1 (convolution_backward)
2022-11-23T01:32:37.1464011Z 
2022-11-23T01:32:37.1464113Z 4282           4 LOAD_FAST                0 (rank4_inps)
2022-11-23T01:32:37.1464245Z 
2022-11-23T01:32:37.1464325Z 4283           6 LOAD_DEREF               0 (C)
2022-11-23T01:32:37.1464604Z                8 BUILD_LIST               1
2022-11-23T01:32:37.1464728Z 
2022-11-23T01:32:37.1464821Z 4284          10 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1465013Z               12 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1465220Z               14 BUILD_LIST               2
2022-11-23T01:32:37.1465341Z 
2022-11-23T01:32:37.1465433Z 4285          16 LOAD_CONST               2 (0)
2022-11-23T01:32:37.1465636Z               18 LOAD_CONST               2 (0)
2022-11-23T01:32:37.1465828Z               20 BUILD_LIST               2
2022-11-23T01:32:37.1465947Z 
2022-11-23T01:32:37.1466036Z 4286          22 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1466241Z               24 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1466429Z               26 BUILD_LIST               2
2022-11-23T01:32:37.1466549Z 
2022-11-23T01:32:37.1466643Z 4287          28 LOAD_CONST               3 (False)
2022-11-23T01:32:37.1466766Z 
2022-11-23T01:32:37.1466854Z 4288          30 LOAD_CONST               2 (0)
2022-11-23T01:32:37.1467057Z               32 LOAD_CONST               2 (0)
2022-11-23T01:32:37.1467250Z               34 BUILD_LIST               2
2022-11-23T01:32:37.1467369Z 
2022-11-23T01:32:37.1467454Z 4289          36 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1467574Z 
2022-11-23T01:32:37.1467667Z 4290          38 LOAD_CONST               4 (True)
2022-11-23T01:32:37.1467865Z               40 LOAD_CONST               4 (True)
2022-11-23T01:32:37.1468071Z               42 LOAD_CONST               4 (True)
2022-11-23T01:32:37.1468276Z               44 BUILD_LIST               3
2022-11-23T01:32:37.1468470Z               46 BUILD_TUPLE              8
2022-11-23T01:32:37.1468686Z               48 BUILD_TUPLE_UNPACK_WITH_CALL     2
2022-11-23T01:32:37.1468909Z               50 CALL_FUNCTION_EX         0
2022-11-23T01:32:37.1469116Z               52 STORE_FAST               3 (out1)
2022-11-23T01:32:37.1469229Z 
2022-11-23T01:32:37.1469317Z 4292          54 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.1469545Z               56 LOAD_ATTR                1 (convolution_backward)
2022-11-23T01:32:37.1469689Z 
2022-11-23T01:32:37.1469787Z 4293          58 LOAD_FAST                0 (rank4_inps)
2022-11-23T01:32:37.1469915Z 
2022-11-23T01:32:37.1469994Z 4294          60 LOAD_DEREF               0 (C)
2022-11-23T01:32:37.1470196Z               62 BUILD_LIST               1
2022-11-23T01:32:37.1470313Z 
2022-11-23T01:32:37.1470401Z 4295          64 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1470602Z               66 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1470788Z               68 BUILD_LIST               2
2022-11-23T01:32:37.1470940Z 
2022-11-23T01:32:37.1471028Z 4296          70 LOAD_CONST               2 (0)
2022-11-23T01:32:37.1471228Z               72 LOAD_CONST               2 (0)
2022-11-23T01:32:37.1471413Z               74 BUILD_LIST               2
2022-11-23T01:32:37.1471527Z 
2022-11-23T01:32:37.1471614Z 4297          76 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1471815Z               78 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1472030Z               80 BUILD_LIST               2
2022-11-23T01:32:37.1472149Z 
2022-11-23T01:32:37.1472240Z 4298          82 LOAD_CONST               3 (False)
2022-11-23T01:32:37.1472363Z 
2022-11-23T01:32:37.1472453Z 4299          84 LOAD_CONST               2 (0)
2022-11-23T01:32:37.1472651Z               86 LOAD_CONST               2 (0)
2022-11-23T01:32:37.1472839Z               88 BUILD_LIST               2
2022-11-23T01:32:37.1472956Z 
2022-11-23T01:32:37.1473040Z 4300          90 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1473159Z 
2022-11-23T01:32:37.1473251Z 4301          92 LOAD_CONST               4 (True)
2022-11-23T01:32:37.1473451Z               94 LOAD_CONST               3 (False)
2022-11-23T01:32:37.1473657Z               96 LOAD_CONST               3 (False)
2022-11-23T01:32:37.1473861Z               98 BUILD_LIST               3
2022-11-23T01:32:37.1474049Z              100 BUILD_TUPLE              8
2022-11-23T01:32:37.1474263Z              102 BUILD_TUPLE_UNPACK_WITH_CALL     2
2022-11-23T01:32:37.1474483Z              104 CALL_FUNCTION_EX         0
2022-11-23T01:32:37.1474689Z              106 STORE_FAST               4 (out2)
2022-11-23T01:32:37.1474800Z 
2022-11-23T01:32:37.1474889Z 4303         108 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.1475118Z              110 LOAD_ATTR                1 (convolution_backward)
2022-11-23T01:32:37.1475259Z 
2022-11-23T01:32:37.1475358Z 4304         112 LOAD_FAST                1 (rank3_inps)
2022-11-23T01:32:37.1475486Z 
2022-11-23T01:32:37.1475604Z 4305         114 LOAD_DEREF               0 (C)
2022-11-23T01:32:37.1475805Z              116 BUILD_LIST               1
2022-11-23T01:32:37.1475922Z 
2022-11-23T01:32:37.1476011Z 4306         118 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1476211Z              120 BUILD_LIST               1
2022-11-23T01:32:37.1476317Z 
2022-11-23T01:32:37.1476404Z 4307         122 LOAD_CONST               2 (0)
2022-11-23T01:32:37.1476605Z              124 BUILD_LIST               1
2022-11-23T01:32:37.1476721Z 
2022-11-23T01:32:37.1476810Z 4308         126 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1477001Z              128 BUILD_LIST               1
2022-11-23T01:32:37.1477227Z 
2022-11-23T01:32:37.1477319Z 4309         130 LOAD_CONST               3 (False)
2022-11-23T01:32:37.1477442Z 
2022-11-23T01:32:37.1477531Z 4310         132 LOAD_CONST               2 (0)
2022-11-23T01:32:37.1477732Z              134 BUILD_LIST               1
2022-11-23T01:32:37.1477836Z 
2022-11-23T01:32:37.1477923Z 4311         136 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1478043Z 
2022-11-23T01:32:37.1478135Z 4312         138 LOAD_CONST               4 (True)
2022-11-23T01:32:37.1478341Z              140 LOAD_CONST               4 (True)
2022-11-23T01:32:37.1478532Z              142 LOAD_CONST               4 (True)
2022-11-23T01:32:37.1478734Z              144 BUILD_LIST               3
2022-11-23T01:32:37.1478934Z              146 BUILD_TUPLE              8
2022-11-23T01:32:37.1479139Z              148 BUILD_TUPLE_UNPACK_WITH_CALL     2
2022-11-23T01:32:37.1479357Z              150 CALL_FUNCTION_EX         0
2022-11-23T01:32:37.1479565Z              152 STORE_FAST               5 (out3)
2022-11-23T01:32:37.1479686Z 
2022-11-23T01:32:37.1479776Z 4314         154 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.1479992Z              156 LOAD_ATTR                1 (convolution_backward)
2022-11-23T01:32:37.1480131Z 
2022-11-23T01:32:37.1480229Z 4315         158 LOAD_FAST                2 (rank5_inps)
2022-11-23T01:32:37.1480422Z 
2022-11-23T01:32:37.1480514Z 4316         160 LOAD_DEREF               0 (C)
2022-11-23T01:32:37.1480705Z              162 BUILD_LIST               1
2022-11-23T01:32:37.1480822Z 
2022-11-23T01:32:37.1480911Z 4317         164 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1481114Z              166 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1481318Z              168 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1481506Z              170 BUILD_LIST               3
2022-11-23T01:32:37.1481659Z 
2022-11-23T01:32:37.1481749Z 4318         172 LOAD_CONST               2 (0)
2022-11-23T01:32:37.1481950Z              174 LOAD_CONST               2 (0)
2022-11-23T01:32:37.1482137Z              176 LOAD_CONST               2 (0)
2022-11-23T01:32:37.1482335Z              178 BUILD_LIST               3
2022-11-23T01:32:37.1482454Z 
2022-11-23T01:32:37.1482538Z 4319         180 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1482725Z              182 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1482926Z              184 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1483122Z              186 BUILD_LIST               3
2022-11-23T01:32:37.1483237Z 
2022-11-23T01:32:37.1483331Z 4320         188 LOAD_CONST               3 (False)
2022-11-23T01:32:37.1483443Z 
2022-11-23T01:32:37.1483526Z 4321         190 LOAD_CONST               2 (0)
2022-11-23T01:32:37.1483722Z              192 LOAD_CONST               2 (0)
2022-11-23T01:32:37.1483922Z              194 LOAD_CONST               2 (0)
2022-11-23T01:32:37.1484108Z              196 BUILD_LIST               3
2022-11-23T01:32:37.1484225Z 
2022-11-23T01:32:37.1484310Z 4322         198 LOAD_CONST               1 (1)
2022-11-23T01:32:37.1484428Z 
2022-11-23T01:32:37.1484517Z 4323         200 LOAD_CONST               4 (True)
2022-11-23T01:32:37.1484726Z              202 LOAD_CONST               4 (True)
2022-11-23T01:32:37.1484916Z              204 LOAD_CONST               4 (True)
2022-11-23T01:32:37.1485116Z              206 BUILD_LIST               3
2022-11-23T01:32:37.1485318Z              208 BUILD_TUPLE              8
2022-11-23T01:32:37.1485521Z              210 BUILD_TUPLE_UNPACK_WITH_CALL     2
2022-11-23T01:32:37.1485742Z              212 CALL_FUNCTION_EX         0
2022-11-23T01:32:37.1485946Z              214 STORE_FAST               6 (out4)
2022-11-23T01:32:37.1486066Z 
2022-11-23T01:32:37.1486142Z 4325         216 LOAD_FAST                3 (out1)
2022-11-23T01:32:37.1486343Z              218 LOAD_FAST                4 (out2)
2022-11-23T01:32:37.1486541Z              220 LOAD_FAST                5 (out3)
2022-11-23T01:32:37.1486727Z              222 LOAD_FAST                6 (out4)
2022-11-23T01:32:37.1486923Z              224 BUILD_TUPLE              4
2022-11-23T01:32:37.1487118Z              226 RETURN_VALUE
2022-11-23T01:32:37.1487285Z  
2022-11-23T01:32:37.1487362Z 
2022-11-23T01:32:37.1487671Z [2022-11-23 01:16:15,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4281
2022-11-23T01:32:37.1488090Z [2022-11-23 01:16:15,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.1488596Z [2022-11-23 01:16:15,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.1489085Z [2022-11-23 01:16:15,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4282
2022-11-23T01:32:37.1489582Z [2022-11-23 01:16:15,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank4_inps [TorchVariable(aten.convolution_backward)]
2022-11-23T01:32:37.1490059Z [2022-11-23 01:16:15,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4283
2022-11-23T01:32:37.1490560Z [2022-11-23 01:16:15,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:37.1491114Z [2022-11-23 01:16:15,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1491641Z [2022-11-23 01:16:15,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4284
2022-11-23T01:32:37.1492160Z [2022-11-23 01:16:15,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:37.1492784Z [2022-11-23 01:16:15,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1493442Z [2022-11-23 01:16:15,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1493977Z [2022-11-23 01:16:15,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4285
2022-11-23T01:32:37.1494525Z [2022-11-23 01:16:15,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.1495159Z [2022-11-23 01:16:15,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1495849Z [2022-11-23 01:16:15,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1496412Z [2022-11-23 01:16:15,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4286
2022-11-23T01:32:37.1496970Z [2022-11-23 01:16:15,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.1497644Z [2022-11-23 01:16:15,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1498374Z [2022-11-23 01:16:15,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1498960Z [2022-11-23 01:16:15,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4287
2022-11-23T01:32:37.1499552Z [2022-11-23 01:16:15,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.1500101Z [2022-11-23 01:16:15,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4288
2022-11-23T01:32:37.1500734Z [2022-11-23 01:16:15,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.1501507Z [2022-11-23 01:16:15,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T01:32:37.1502354Z [2022-11-23 01:16:15,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1502968Z [2022-11-23 01:16:15,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4289
2022-11-23T01:32:37.1503639Z [2022-11-23 01:16:15,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()]
2022-11-23T01:32:37.1504227Z [2022-11-23 01:16:15,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4290
2022-11-23T01:32:37.1505256Z [2022-11-23 01:16:15,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1506154Z [2022-11-23 01:16:15,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:37.1507104Z [2022-11-23 01:16:15,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:37.1508120Z [2022-11-23 01:16:15,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:37.1509052Z [2022-11-23 01:16:15,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 8 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ListVariable()]
2022-11-23T01:32:37.1509776Z [2022-11-23 01:16:15,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE_UNPACK_WITH_CALL 2 [TorchVariable(aten.convolution_backward), ListVariable(), TupleVariable()]
2022-11-23T01:32:37.1510350Z [2022-11-23 01:16:15,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()]
2022-11-23T01:32:37.1510825Z [2022-11-23 01:16:15,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out1 [TupleVariable()]
2022-11-23T01:32:37.1511278Z [2022-11-23 01:16:15,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4292
2022-11-23T01:32:37.1511682Z [2022-11-23 01:16:15,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.1512181Z [2022-11-23 01:16:15,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.1512685Z [2022-11-23 01:16:15,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4293
2022-11-23T01:32:37.1513174Z [2022-11-23 01:16:15,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank4_inps [TorchVariable(aten.convolution_backward)]
2022-11-23T01:32:37.1513642Z [2022-11-23 01:16:15,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4294
2022-11-23T01:32:37.1514142Z [2022-11-23 01:16:15,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:37.1514698Z [2022-11-23 01:16:15,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1515204Z [2022-11-23 01:16:15,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4295
2022-11-23T01:32:37.1515739Z [2022-11-23 01:16:15,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:37.1516337Z [2022-11-23 01:16:15,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1517021Z [2022-11-23 01:16:15,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1517822Z [2022-11-23 01:16:15,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4296
2022-11-23T01:32:37.1518353Z [2022-11-23 01:16:15,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.1518989Z [2022-11-23 01:16:15,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1519685Z [2022-11-23 01:16:15,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1520258Z [2022-11-23 01:16:15,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4297
2022-11-23T01:32:37.1520827Z [2022-11-23 01:16:15,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.1521639Z [2022-11-23 01:16:15,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1522440Z [2022-11-23 01:16:15,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1523023Z [2022-11-23 01:16:15,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4298
2022-11-23T01:32:37.1523625Z [2022-11-23 01:16:15,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.1524175Z [2022-11-23 01:16:15,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4299
2022-11-23T01:32:37.1524793Z [2022-11-23 01:16:15,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.1525569Z [2022-11-23 01:16:15,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T01:32:37.1526407Z [2022-11-23 01:16:15,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1527016Z [2022-11-23 01:16:15,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4300
2022-11-23T01:32:37.1527669Z [2022-11-23 01:16:15,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()]
2022-11-23T01:32:37.1528309Z [2022-11-23 01:16:15,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4301
2022-11-23T01:32:37.1529050Z [2022-11-23 01:16:15,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1529942Z [2022-11-23 01:16:15,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:37.1530898Z [2022-11-23 01:16:15,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:37.1531907Z [2022-11-23 01:16:15,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:37.1532845Z [2022-11-23 01:16:15,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 8 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ListVariable()]
2022-11-23T01:32:37.1533559Z [2022-11-23 01:16:15,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE_UNPACK_WITH_CALL 2 [TorchVariable(aten.convolution_backward), ListVariable(), TupleVariable()]
2022-11-23T01:32:37.1534118Z [2022-11-23 01:16:15,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()]
2022-11-23T01:32:37.1534588Z [2022-11-23 01:16:15,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out2 [TupleVariable()]
2022-11-23T01:32:37.1535042Z [2022-11-23 01:16:15,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4303
2022-11-23T01:32:37.1535455Z [2022-11-23 01:16:15,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.1535937Z [2022-11-23 01:16:15,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.1536436Z [2022-11-23 01:16:15,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4304
2022-11-23T01:32:37.1536923Z [2022-11-23 01:16:15,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank3_inps [TorchVariable(aten.convolution_backward)]
2022-11-23T01:32:37.1537397Z [2022-11-23 01:16:15,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4305
2022-11-23T01:32:37.1537884Z [2022-11-23 01:16:15,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:37.1538439Z [2022-11-23 01:16:15,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1538942Z [2022-11-23 01:16:15,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4306
2022-11-23T01:32:37.1539460Z [2022-11-23 01:16:15,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:37.1540039Z [2022-11-23 01:16:15,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1540589Z [2022-11-23 01:16:15,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4307
2022-11-23T01:32:37.1541178Z [2022-11-23 01:16:15,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.1541807Z [2022-11-23 01:16:15,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1542326Z [2022-11-23 01:16:15,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4308
2022-11-23T01:32:37.1542893Z [2022-11-23 01:16:15,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.1543556Z [2022-11-23 01:16:15,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1544103Z [2022-11-23 01:16:15,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4309
2022-11-23T01:32:37.1544781Z [2022-11-23 01:16:15,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.1545314Z [2022-11-23 01:16:15,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4310
2022-11-23T01:32:37.1545950Z [2022-11-23 01:16:15,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.1546738Z [2022-11-23 01:16:15,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T01:32:37.1547331Z [2022-11-23 01:16:15,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4311
2022-11-23T01:32:37.1547989Z [2022-11-23 01:16:15,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()]
2022-11-23T01:32:37.1548555Z [2022-11-23 01:16:15,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4312
2022-11-23T01:32:37.1549254Z [2022-11-23 01:16:15,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1550144Z [2022-11-23 01:16:15,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:37.1551085Z [2022-11-23 01:16:15,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:37.1552093Z [2022-11-23 01:16:15,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:37.1553099Z [2022-11-23 01:16:15,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 8 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ListVariable()]
2022-11-23T01:32:37.1553803Z [2022-11-23 01:16:15,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE_UNPACK_WITH_CALL 2 [TorchVariable(aten.convolution_backward), ListVariable(), TupleVariable()]
2022-11-23T01:32:37.1554367Z [2022-11-23 01:16:15,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()]
2022-11-23T01:32:37.1554842Z [2022-11-23 01:16:15,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out3 [TupleVariable()]
2022-11-23T01:32:37.1555292Z [2022-11-23 01:16:15,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4314
2022-11-23T01:32:37.1555697Z [2022-11-23 01:16:15,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.1556194Z [2022-11-23 01:16:15,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.1556695Z [2022-11-23 01:16:15,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4315
2022-11-23T01:32:37.1557276Z [2022-11-23 01:16:15,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank5_inps [TorchVariable(aten.convolution_backward)]
2022-11-23T01:32:37.1557746Z [2022-11-23 01:16:15,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4316
2022-11-23T01:32:37.1558247Z [2022-11-23 01:16:15,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()]
2022-11-23T01:32:37.1558800Z [2022-11-23 01:16:15,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1559303Z [2022-11-23 01:16:15,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4317
2022-11-23T01:32:37.1559823Z [2022-11-23 01:16:15,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()]
2022-11-23T01:32:37.1560405Z [2022-11-23 01:16:15,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1561055Z [2022-11-23 01:16:15,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1561776Z [2022-11-23 01:16:15,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1562347Z [2022-11-23 01:16:15,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4318
2022-11-23T01:32:37.1562878Z [2022-11-23 01:16:15,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.1563506Z [2022-11-23 01:16:15,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1564194Z [2022-11-23 01:16:15,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1565010Z [2022-11-23 01:16:15,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1565634Z [2022-11-23 01:16:15,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4319
2022-11-23T01:32:37.1566187Z [2022-11-23 01:16:15,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.1566862Z [2022-11-23 01:16:15,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1567592Z [2022-11-23 01:16:15,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1568385Z [2022-11-23 01:16:15,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1568982Z [2022-11-23 01:16:15,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4320
2022-11-23T01:32:37.1569571Z [2022-11-23 01:16:15,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.1570121Z [2022-11-23 01:16:15,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4321
2022-11-23T01:32:37.1570756Z [2022-11-23 01:16:15,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.1571536Z [2022-11-23 01:16:15,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T01:32:37.1572365Z [2022-11-23 01:16:15,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1573251Z [2022-11-23 01:16:15,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.1573875Z [2022-11-23 01:16:15,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4322
2022-11-23T01:32:37.1574538Z [2022-11-23 01:16:15,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()]
2022-11-23T01:32:37.1575112Z [2022-11-23 01:16:15,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4323
2022-11-23T01:32:37.1575810Z [2022-11-23 01:16:15,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.1576745Z [2022-11-23 01:16:15,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:37.1577719Z [2022-11-23 01:16:15,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:37.1578709Z [2022-11-23 01:16:15,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:37.1579645Z [2022-11-23 01:16:15,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 8 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ListVariable()]
2022-11-23T01:32:37.1580362Z [2022-11-23 01:16:15,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE_UNPACK_WITH_CALL 2 [TorchVariable(aten.convolution_backward), ListVariable(), TupleVariable()]
2022-11-23T01:32:37.1580929Z [2022-11-23 01:16:15,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()]
2022-11-23T01:32:37.1581395Z [2022-11-23 01:16:15,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out4 [TupleVariable()]
2022-11-23T01:32:37.1581834Z [2022-11-23 01:16:15,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4325
2022-11-23T01:32:37.1582242Z [2022-11-23 01:16:15,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out1 []
2022-11-23T01:32:37.1582644Z [2022-11-23 01:16:15,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out2 [TupleVariable()]
2022-11-23T01:32:37.1583095Z [2022-11-23 01:16:15,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out3 [TupleVariable(), TupleVariable()]
2022-11-23T01:32:37.1583566Z [2022-11-23 01:16:15,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out4 [TupleVariable(), TupleVariable(), TupleVariable()]
2022-11-23T01:32:37.1584088Z [2022-11-23 01:16:15,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TupleVariable(), TupleVariable(), TupleVariable(), TupleVariable()]
2022-11-23T01:32:37.1584630Z [2022-11-23 01:16:15,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1585150Z [2022-11-23 01:16:15,661] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f63c6db0, file "inductor/test_torchinductor.py", line 4279>
2022-11-23T01:32:37.1585609Z [2022-11-23 01:16:15,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.1586028Z [2022-11-23 01:16:15,661] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1586464Z [2022-11-23 01:16:15,665] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1586900Z [2022-11-23 01:16:15,687] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1587264Z [2022-11-23 01:16:15,687] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1587550Z  __compiled_fn_64 <eval_with_key>.438 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1587804Z placeholder, ex_0_0_, ex_0_0_, (), {}
2022-11-23T01:32:37.1588041Z placeholder, ex_0_1_, ex_0_1_, (), {}
2022-11-23T01:32:37.1588249Z placeholder, ex_0_2_, ex_0_2_, (), {}
2022-11-23T01:32:37.1588451Z placeholder, ex_1_0_, ex_1_0_, (), {}
2022-11-23T01:32:37.1588639Z placeholder, ex_1_1_, ex_1_1_, (), {}
2022-11-23T01:32:37.1588836Z placeholder, ex_1_2_, ex_1_2_, (), {}
2022-11-23T01:32:37.1589037Z placeholder, ex_2_0_, ex_2_0_, (), {}
2022-11-23T01:32:37.1589227Z placeholder, ex_2_1_, ex_2_1_, (), {}
2022-11-23T01:32:37.1589457Z placeholder, ex_2_2_, ex_2_2_, (), {}
2022-11-23T01:32:37.1589781Z call_function, convolution_backward, aten.convolution_backward, (ex_0_0_, ex_0_1_, ex_0_2_, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {}
2022-11-23T01:32:37.1590215Z call_function, getitem, <built-in function getitem>, (convolution_backward, 0), {}
2022-11-23T01:32:37.1590596Z call_function, getitem_1, <built-in function getitem>, (convolution_backward, 1), {}
2022-11-23T01:32:37.1590987Z call_function, getitem_2, <built-in function getitem>, (convolution_backward, 2), {}
2022-11-23T01:32:37.1591367Z call_function, convolution_backward_1, aten.convolution_backward, (ex_0_0_, ex_0_1_, ex_0_2_, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, False, False]), {}
2022-11-23T01:32:37.1591801Z call_function, getitem_3, <built-in function getitem>, (convolution_backward_1, 0), {}
2022-11-23T01:32:37.1592162Z call_function, convolution_backward_2, aten.convolution_backward, (ex_1_0_, ex_1_1_, ex_1_2_, [4], [1], [0], [1], False, [0], 1, [True, True, True]), {}
2022-11-23T01:32:37.1592588Z call_function, getitem_4, <built-in function getitem>, (convolution_backward_2, 0), {}
2022-11-23T01:32:37.1592982Z call_function, getitem_5, <built-in function getitem>, (convolution_backward_2, 1), {}
2022-11-23T01:32:37.1593361Z call_function, getitem_6, <built-in function getitem>, (convolution_backward_2, 2), {}
2022-11-23T01:32:37.1593743Z call_function, convolution_backward_3, aten.convolution_backward, (ex_2_0_, ex_2_1_, ex_2_2_, [4], [1, 1, 1], [0, 0, 0], [1, 1, 1], False, [0, 0, 0], 1, [True, True, True]), {}
2022-11-23T01:32:37.1594177Z call_function, getitem_7, <built-in function getitem>, (convolution_backward_3, 0), {}
2022-11-23T01:32:37.1594569Z call_function, getitem_8, <built-in function getitem>, (convolution_backward_3, 1), {}
2022-11-23T01:32:37.1594945Z call_function, getitem_9, <built-in function getitem>, (convolution_backward_3, 2), {}
2022-11-23T01:32:37.1595322Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, getitem_4, getitem_5, getitem_6, getitem_7, getitem_8, getitem_9),), {}
2022-11-23T01:32:37.1595547Z 
2022-11-23T01:32:37.1595831Z [2022-11-23 01:16:15,689] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1596134Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1596337Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1596552Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1596767Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1596952Z               8 RETURN_VALUE
2022-11-23T01:32:37.1597066Z 
2022-11-23T01:32:37.1597263Z  
2022-11-23T01:32:37.1605455Z [2022-11-23 01:16:15,689] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1605781Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_64)
2022-11-23T01:32:37.1606010Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1606230Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1606417Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1606619Z               8 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1606812Z              10 BINARY_SUBSCR
2022-11-23T01:32:37.1607010Z              12 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1607200Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1607388Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.1607584Z              18 LOAD_CONST               2 (1)
2022-11-23T01:32:37.1607876Z              20 BINARY_SUBSCR
2022-11-23T01:32:37.1608074Z              22 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1608279Z              24 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1608457Z              26 BINARY_SUBSCR
2022-11-23T01:32:37.1608656Z              28 LOAD_CONST               3 (2)
2022-11-23T01:32:37.1608844Z              30 BINARY_SUBSCR
2022-11-23T01:32:37.1609097Z              32 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1609301Z              34 LOAD_CONST               2 (1)
2022-11-23T01:32:37.1609492Z              36 BINARY_SUBSCR
2022-11-23T01:32:37.1609673Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1609862Z              40 BINARY_SUBSCR
2022-11-23T01:32:37.1610055Z              42 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1610245Z              44 LOAD_CONST               2 (1)
2022-11-23T01:32:37.1610437Z              46 BINARY_SUBSCR
2022-11-23T01:32:37.1610633Z              48 LOAD_CONST               2 (1)
2022-11-23T01:32:37.1610822Z              50 BINARY_SUBSCR
2022-11-23T01:32:37.1611003Z              52 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1611203Z              54 LOAD_CONST               2 (1)
2022-11-23T01:32:37.1611392Z              56 BINARY_SUBSCR
2022-11-23T01:32:37.1611574Z              58 LOAD_CONST               3 (2)
2022-11-23T01:32:37.1611761Z              60 BINARY_SUBSCR
2022-11-23T01:32:37.1611956Z              62 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1612145Z              64 LOAD_CONST               3 (2)
2022-11-23T01:32:37.1612331Z              66 BINARY_SUBSCR
2022-11-23T01:32:37.1612521Z              68 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1612695Z              70 BINARY_SUBSCR
2022-11-23T01:32:37.1612888Z              72 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1613087Z              74 LOAD_CONST               3 (2)
2022-11-23T01:32:37.1613264Z              76 BINARY_SUBSCR
2022-11-23T01:32:37.1613455Z              78 LOAD_CONST               2 (1)
2022-11-23T01:32:37.1613640Z              80 BINARY_SUBSCR
2022-11-23T01:32:37.1613822Z              82 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1614023Z              84 LOAD_CONST               3 (2)
2022-11-23T01:32:37.1614208Z              86 BINARY_SUBSCR
2022-11-23T01:32:37.1614398Z              88 LOAD_CONST               3 (2)
2022-11-23T01:32:37.1614570Z              90 BINARY_SUBSCR
2022-11-23T01:32:37.1614765Z              92 CALL_FUNCTION            9
2022-11-23T01:32:37.1614985Z              94 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.1615230Z              96 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:37.1615481Z              98 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:37.1615689Z             100 CALL_FUNCTION            0
2022-11-23T01:32:37.1615889Z             102 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:37.1616110Z             104 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1616321Z             106 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1616500Z             108 BINARY_SUBSCR
2022-11-23T01:32:37.1616707Z             110 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1616919Z             112 LOAD_CONST               2 (1)
2022-11-23T01:32:37.1617112Z             114 BINARY_SUBSCR
2022-11-23T01:32:37.1617306Z             116 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1617520Z             118 LOAD_CONST               3 (2)
2022-11-23T01:32:37.1617709Z             120 BINARY_SUBSCR
2022-11-23T01:32:37.1617889Z             122 BUILD_TUPLE              3
2022-11-23T01:32:37.1618103Z             124 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1618313Z             126 LOAD_CONST               4 (3)
2022-11-23T01:32:37.1618489Z             128 BINARY_SUBSCR
2022-11-23T01:32:37.1618686Z             130 LOAD_CONST               0 (None)
2022-11-23T01:32:37.1618933Z             132 LOAD_CONST               0 (None)
2022-11-23T01:32:37.1619127Z             134 BUILD_TUPLE              3
2022-11-23T01:32:37.1619345Z             136 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1619557Z             138 LOAD_CONST               5 (4)
2022-11-23T01:32:37.1619737Z             140 BINARY_SUBSCR
2022-11-23T01:32:37.1619941Z             142 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1620184Z             144 LOAD_CONST               6 (5)
2022-11-23T01:32:37.1620377Z             146 BINARY_SUBSCR
2022-11-23T01:32:37.1620570Z             148 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1620781Z             150 LOAD_CONST               7 (6)
2022-11-23T01:32:37.1620971Z             152 BINARY_SUBSCR
2022-11-23T01:32:37.1621149Z             154 BUILD_TUPLE              3
2022-11-23T01:32:37.1621363Z             156 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1621574Z             158 LOAD_CONST               8 (7)
2022-11-23T01:32:37.1621757Z             160 BINARY_SUBSCR
2022-11-23T01:32:37.1621965Z             162 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1622176Z             164 LOAD_CONST               9 (8)
2022-11-23T01:32:37.1622353Z             166 BINARY_SUBSCR
2022-11-23T01:32:37.1622557Z             168 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.1622766Z             170 LOAD_CONST              10 (9)
2022-11-23T01:32:37.1622945Z             172 BINARY_SUBSCR
2022-11-23T01:32:37.1623136Z             174 BUILD_TUPLE              3
2022-11-23T01:32:37.1623335Z             176 BUILD_TUPLE              4
2022-11-23T01:32:37.1623539Z             178 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1623744Z             180 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:37.1623954Z             182 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1624144Z             184 BINARY_SUBSCR
2022-11-23T01:32:37.1624338Z             186 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:37.1624659Z             188 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1624875Z             190 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:37.1625071Z             192 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1625262Z             194 BINARY_SUBSCR
2022-11-23T01:32:37.1625471Z             196 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:37.1625660Z             198 RETURN_VALUE
2022-11-23T01:32:37.1625779Z 
2022-11-23T01:32:37.1625840Z  
2022-11-23T01:32:37.1626133Z [2022-11-23 01:16:15,692] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1626356Z  - 
2022-11-23T01:32:37.1626552Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1626732Z             {
2022-11-23T01:32:37.1626969Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1627267Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 3'],
2022-11-23T01:32:37.1627531Z                 'obj_weakref': None
2022-11-23T01:32:37.1627872Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1628091Z             }
2022-11-23T01:32:37.1628247Z             
2022-11-23T01:32:37.1628406Z  - 
2022-11-23T01:32:37.1628603Z             local 'ex[0]' LIST_LENGTH
2022-11-23T01:32:37.1628780Z             {
2022-11-23T01:32:37.1629015Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1629321Z                 'code': ['___check_type_id(ex[0], 94279403917216)', 'len(ex[0]) == 3'],
2022-11-23T01:32:37.1629590Z                 'obj_weakref': None
2022-11-23T01:32:37.1629928Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:37.1630147Z             }
2022-11-23T01:32:37.1630305Z             
2022-11-23T01:32:37.1630470Z  - 
2022-11-23T01:32:37.1630669Z             local 'ex[1]' LIST_LENGTH
2022-11-23T01:32:37.1630858Z             {
2022-11-23T01:32:37.1631097Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1631459Z                 'code': ['___check_type_id(ex[1], 94279403917216)', 'len(ex[1]) == 3'],
2022-11-23T01:32:37.1631712Z                 'obj_weakref': None
2022-11-23T01:32:37.1632045Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:37.1632274Z             }
2022-11-23T01:32:37.1632422Z             
2022-11-23T01:32:37.1632590Z  - 
2022-11-23T01:32:37.1632832Z             local 'ex[2]' LIST_LENGTH
2022-11-23T01:32:37.1633002Z             {
2022-11-23T01:32:37.1633243Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1633559Z                 'code': ['___check_type_id(ex[2], 94279403917216)', 'len(ex[2]) == 3'],
2022-11-23T01:32:37.1633812Z                 'obj_weakref': None
2022-11-23T01:32:37.1634145Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:37.1634378Z             }
2022-11-23T01:32:37.1634526Z             
2022-11-23T01:32:37.1634688Z  - 
2022-11-23T01:32:37.1634909Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.1635083Z             {
2022-11-23T01:32:37.1635315Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1635605Z                 'code': ['___check_obj_id(model, 140124011140880)'],
2022-11-23T01:32:37.1635859Z                 'obj_weakref': None
2022-11-23T01:32:37.1636190Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.1636423Z             }
2022-11-23T01:32:37.1636581Z             
2022-11-23T01:32:37.1636637Z  - 
2022-11-23T01:32:37.1636758Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1636820Z             {
2022-11-23T01:32:37.1636956Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1637290Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1637411Z                 'obj_weakref': None
2022-11-23T01:32:37.1637629Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1637680Z             }
2022-11-23T01:32:37.1637742Z             
2022-11-23T01:32:37.1637812Z  - 
2022-11-23T01:32:37.1637942Z             local 'ex[0][0]' TENSOR_MATCH
2022-11-23T01:32:37.1638005Z             {
2022-11-23T01:32:37.1638148Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1638254Z                 'code': None,
2022-11-23T01:32:37.1638450Z                 'obj_weakref': <weakref at 0x7f7106ceb890; to 'Tensor' at 0x7f7106d5def0>
2022-11-23T01:32:37.1638696Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1638759Z             }
2022-11-23T01:32:37.1638823Z             
2022-11-23T01:32:37.1638891Z  - 
2022-11-23T01:32:37.1639019Z             local 'ex[0][1]' TENSOR_MATCH
2022-11-23T01:32:37.1639083Z             {
2022-11-23T01:32:37.1639212Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1639319Z                 'code': None,
2022-11-23T01:32:37.1639519Z                 'obj_weakref': <weakref at 0x7f7106a47830; to 'Tensor' at 0x7f7106d5d7d0>
2022-11-23T01:32:37.1639760Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1639824Z             }
2022-11-23T01:32:37.1639885Z             
2022-11-23T01:32:37.1639953Z  - 
2022-11-23T01:32:37.1640069Z             local 'ex[0][2]' TENSOR_MATCH
2022-11-23T01:32:37.1640131Z             {
2022-11-23T01:32:37.1640272Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1640377Z                 'code': None,
2022-11-23T01:32:37.1640579Z                 'obj_weakref': <weakref at 0x7f7106d40bf0; to 'Tensor' at 0x7f7106b90dd0>
2022-11-23T01:32:37.1640816Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1640937Z             }
2022-11-23T01:32:37.1640986Z             
2022-11-23T01:32:37.1641055Z  - 
2022-11-23T01:32:37.1641182Z             local 'ex[1][0]' TENSOR_MATCH
2022-11-23T01:32:37.1641249Z             {
2022-11-23T01:32:37.1641389Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1641493Z                 'code': None,
2022-11-23T01:32:37.1641692Z                 'obj_weakref': <weakref at 0x7f71069e4890; to 'Tensor' at 0x7f7106b908f0>
2022-11-23T01:32:37.1641954Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1642018Z             }
2022-11-23T01:32:37.1642080Z             
2022-11-23T01:32:37.1642149Z  - 
2022-11-23T01:32:37.1642273Z             local 'ex[1][1]' TENSOR_MATCH
2022-11-23T01:32:37.1642335Z             {
2022-11-23T01:32:37.1642475Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1642567Z                 'code': None,
2022-11-23T01:32:37.1642768Z                 'obj_weakref': <weakref at 0x7f7106a0c890; to 'Tensor' at 0x7f7106b90890>
2022-11-23T01:32:37.1643008Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1643070Z             }
2022-11-23T01:32:37.1643132Z             
2022-11-23T01:32:37.1643199Z  - 
2022-11-23T01:32:37.1643324Z             local 'ex[1][2]' TENSOR_MATCH
2022-11-23T01:32:37.1643373Z             {
2022-11-23T01:32:37.1643513Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1643617Z                 'code': None,
2022-11-23T01:32:37.1643818Z                 'obj_weakref': <weakref at 0x7f7106c32350; to 'Tensor' at 0x7f7106b90ef0>
2022-11-23T01:32:37.1644061Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1644122Z             }
2022-11-23T01:32:37.1644184Z             
2022-11-23T01:32:37.1644241Z  - 
2022-11-23T01:32:37.1644366Z             local 'ex[2][0]' TENSOR_MATCH
2022-11-23T01:32:37.1644430Z             {
2022-11-23T01:32:37.1644568Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1644672Z                 'code': None,
2022-11-23T01:32:37.1644872Z                 'obj_weakref': <weakref at 0x7f7106c321d0; to 'Tensor' at 0x7f7106c44b30>
2022-11-23T01:32:37.1645109Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1645171Z             }
2022-11-23T01:32:37.1645223Z             
2022-11-23T01:32:37.1645289Z  - 
2022-11-23T01:32:37.1645415Z             local 'ex[2][1]' TENSOR_MATCH
2022-11-23T01:32:37.1645476Z             {
2022-11-23T01:32:37.1645612Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1645716Z                 'code': None,
2022-11-23T01:32:37.1645909Z                 'obj_weakref': <weakref at 0x7f7106bdf530; to 'Tensor' at 0x7f7106d5de90>
2022-11-23T01:32:37.1646153Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1646217Z             }
2022-11-23T01:32:37.1646279Z             
2022-11-23T01:32:37.1646344Z  - 
2022-11-23T01:32:37.1646470Z             local 'ex[2][2]' TENSOR_MATCH
2022-11-23T01:32:37.1646532Z             {
2022-11-23T01:32:37.1646659Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1646764Z                 'code': None,
2022-11-23T01:32:37.1646970Z                 'obj_weakref': <weakref at 0x7f7106bdf7d0; to 'Tensor' at 0x7f7106d5dfb0>
2022-11-23T01:32:37.1647208Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1647271Z             }
2022-11-23T01:32:37.1647333Z             
2022-11-23T01:32:37.1647399Z  - 
2022-11-23T01:32:37.1647567Z             local 'model.__closure__[0].cell_contents' CONSTANT_MATCH
2022-11-23T01:32:37.1647628Z             {
2022-11-23T01:32:37.1647764Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.1648076Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403915040)', 'model.__closure__[0].cell_contents == 4'],
2022-11-23T01:32:37.1648195Z                 'obj_weakref': None
2022-11-23T01:32:37.1648413Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:37.1648474Z             }
2022-11-23T01:32:37.1648535Z             
2022-11-23T01:32:37.1648590Z  - 
2022-11-23T01:32:37.1648746Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.1648808Z             {
2022-11-23T01:32:37.1648926Z                 'guard_types': None,
2022-11-23T01:32:37.1649031Z                 'code': None,
2022-11-23T01:32:37.1649151Z                 'obj_weakref': None
2022-11-23T01:32:37.1649270Z                 'guarded_class': None
2022-11-23T01:32:37.1649320Z             }
2022-11-23T01:32:37.1649381Z             
2022-11-23T01:32:37.1649643Z [2022-11-23 01:16:15,726] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 63
2022-11-23T01:32:37.1650017Z [2022-11-23 01:16:15,794] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jn/cjn2gdsbses4sdmgogfc6zh2ujfoinqq4jl2szxufhey4yyxneg7.py
2022-11-23T01:32:37.1650276Z [2022-11-23 01:16:15,795] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 63
2022-11-23T01:32:37.1650579Z [2022-11-23 01:16:15,797] torch._dynamo.eval_frame: [DEBUG] skipping make_cell /opt/conda/lib/python3.7/site-packages/torch/_dynamo/utils.py
2022-11-23T01:32:37.1650585Z 
2022-11-23T01:32:37.1650679Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1650746Z import torch
2022-11-23T01:32:37.1650801Z import random
2022-11-23T01:32:37.1650914Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1651034Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1651040Z 
2022-11-23T01:32:37.1651117Z aten = torch.ops.aten
2022-11-23T01:32:37.1651250Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1651345Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1651350Z 
2022-11-23T01:32:37.1651354Z 
2022-11-23T01:32:37.1651440Z async_compile.wait(globals())
2022-11-23T01:32:37.1651513Z del async_compile
2022-11-23T01:32:37.1651517Z 
2022-11-23T01:32:37.1651573Z def call(args):
2022-11-23T01:32:37.1651698Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1 = args
2022-11-23T01:32:37.1651768Z     args.clear()
2022-11-23T01:32:37.1651934Z     buf0 = aten.convolution_backward(arg0_1, arg1_1, arg2_1, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True])
2022-11-23T01:32:37.1652002Z     buf1 = buf0[0]
2022-11-23T01:32:37.1652109Z     assert_size_stride(buf1, (3, 4, 5, 5), (100, 25, 5, 1))
2022-11-23T01:32:37.1652178Z     buf2 = buf0[1]
2022-11-23T01:32:37.1652268Z     assert_size_stride(buf2, (4, 4, 3, 3), (36, 9, 3, 1))
2022-11-23T01:32:37.1652335Z     buf3 = buf0[2]
2022-11-23T01:32:37.1652428Z     assert_size_stride(buf3, (4, ), (1, ))
2022-11-23T01:32:37.1652494Z     del buf0
2022-11-23T01:32:37.1652660Z     buf4 = aten.convolution_backward(arg0_1, arg1_1, arg2_1, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, False, False])
2022-11-23T01:32:37.1652727Z     del arg0_1
2022-11-23T01:32:37.1652793Z     del arg1_1
2022-11-23T01:32:37.1652845Z     del arg2_1
2022-11-23T01:32:37.1652910Z     buf5 = buf4[0]
2022-11-23T01:32:37.1653015Z     assert_size_stride(buf5, (3, 4, 5, 5), (100, 25, 5, 1))
2022-11-23T01:32:37.1653080Z     del buf4
2022-11-23T01:32:37.1653240Z     buf6 = aten.convolution_backward(arg3_1, arg4_1, arg5_1, [4], [1], [0], [1], False, [0], 1, [True, True, True])
2022-11-23T01:32:37.1653305Z     del arg3_1
2022-11-23T01:32:37.1653370Z     del arg4_1
2022-11-23T01:32:37.1653423Z     del arg5_1
2022-11-23T01:32:37.1653489Z     buf7 = buf6[0]
2022-11-23T01:32:37.1653592Z     assert_size_stride(buf7, (3, 4, 5, 5), (100, 25, 5, 1))
2022-11-23T01:32:37.1653659Z     buf8 = buf6[1]
2022-11-23T01:32:37.1653797Z     assert_size_stride(buf8, (4, 4, 3, 3), (36, 9, 3, 1))
2022-11-23T01:32:37.1653864Z     buf9 = buf6[2]
2022-11-23T01:32:37.1653956Z     assert_size_stride(buf9, (4, ), (1, ))
2022-11-23T01:32:37.1654009Z     del buf6
2022-11-23T01:32:37.1654177Z     buf10 = aten.convolution_backward(arg6_1, arg7_1, arg8_1, [4], [1, 1, 1], [0, 0, 0], [1, 1, 1], False, [0, 0, 0], 1, [True, True, True])
2022-11-23T01:32:37.1654244Z     del arg6_1
2022-11-23T01:32:37.1654309Z     del arg7_1
2022-11-23T01:32:37.1654401Z     del arg8_1
2022-11-23T01:32:37.1654471Z     buf11 = buf10[0]
2022-11-23T01:32:37.1654581Z     assert_size_stride(buf11, (3, 4, 5, 5, 5), (500, 125, 25, 5, 1))
2022-11-23T01:32:37.1654638Z     buf12 = buf10[1]
2022-11-23T01:32:37.1654744Z     assert_size_stride(buf12, (4, 4, 3, 3, 3), (108, 27, 9, 3, 1))
2022-11-23T01:32:37.1654810Z     buf13 = buf10[2]
2022-11-23T01:32:37.1654906Z     assert_size_stride(buf13, (4, ), (1, ))
2022-11-23T01:32:37.1654972Z     del buf10
2022-11-23T01:32:37.1655102Z     return (buf1, buf2, buf3, buf5, buf7, buf8, buf9, buf11, buf12, buf13, )
2022-11-23T01:32:37.1655108Z 
2022-11-23T01:32:37.1655113Z 
2022-11-23T01:32:37.1655192Z if __name__ == "__main__":
2022-11-23T01:32:37.1655293Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1655414Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1655630Z     arg0_1 = rand_strided((3, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1655845Z     arg1_1 = rand_strided((3, 4, 5, 5), (100, 25, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1656050Z     arg2_1 = rand_strided((4, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1656255Z     arg3_1 = rand_strided((3, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1656462Z     arg4_1 = rand_strided((3, 4, 5, 5), (100, 25, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1656661Z     arg5_1 = rand_strided((4, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1656878Z     arg6_1 = rand_strided((3, 4, 3, 3, 3), (108, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1657086Z     arg7_1 = rand_strided((3, 4, 5, 5, 5), (500, 125, 25, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1657298Z     arg8_1 = rand_strided((4, 4, 3, 3, 3), (108, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1657459Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1]))
2022-11-23T01:32:37.1657465Z 
2022-11-23T01:32:37.1657531Z ok (0.241s)
2022-11-23T01:32:37.1657842Z   test_conv_bn_fuse_cpu (__main__.CpuTests) ... [2022-11-23 01:16:15,813] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1658111Z [2022-11-23 01:16:15,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1658327Z [2022-11-23 01:16:15,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1658573Z [2022-11-23 01:16:15,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.1658850Z [2022-11-23 01:16:15,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.1659153Z [2022-11-23 01:16:15,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1659396Z [2022-11-23 01:16:15,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.1659627Z [2022-11-23 01:16:15,845] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1659877Z [2022-11-23 01:16:15,846] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1660123Z [2022-11-23 01:16:15,873] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1660358Z [2022-11-23 01:16:15,874] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1660490Z  __compiled_fn_65 <eval_with_key>.444 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1660579Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1660676Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.1660764Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.1660904Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.1660910Z 
2022-11-23T01:32:37.1661185Z [2022-11-23 01:16:15,874] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1661276Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1661365Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1661456Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1661548Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1661612Z               8 RETURN_VALUE
2022-11-23T01:32:37.1661630Z 
2022-11-23T01:32:37.1661678Z  
2022-11-23T01:32:37.1661948Z [2022-11-23 01:16:15,874] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1662056Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_65)
2022-11-23T01:32:37.1662147Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1662237Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1662313Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1662401Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1662479Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.1662553Z              12 RETURN_VALUE
2022-11-23T01:32:37.1662558Z 
2022-11-23T01:32:37.1662616Z  
2022-11-23T01:32:37.1662797Z [2022-11-23 01:16:15,876] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1662866Z  - 
2022-11-23T01:32:37.1662986Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1663051Z             {
2022-11-23T01:32:37.1663179Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1663365Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1663483Z                 'obj_weakref': None
2022-11-23T01:32:37.1663706Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1663769Z             }
2022-11-23T01:32:37.1663833Z             
2022-11-23T01:32:37.1663900Z  - 
2022-11-23T01:32:37.1664011Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1664073Z             {
2022-11-23T01:32:37.1664214Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1664319Z                 'code': None,
2022-11-23T01:32:37.1664611Z                 'obj_weakref': <weakref at 0x7f7106e09470; to 'Tensor' at 0x7f7106d36ef0>
2022-11-23T01:32:37.1664864Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1664931Z             }
2022-11-23T01:32:37.1664981Z             
2022-11-23T01:32:37.1665051Z  - 
2022-11-23T01:32:37.1665170Z             local 'model' NN_MODULE
2022-11-23T01:32:37.1665233Z             {
2022-11-23T01:32:37.1665367Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1665535Z                 'code': ['___check_obj_id(model, 140123415995984)'],
2022-11-23T01:32:37.1665754Z                 'obj_weakref': <weakref at 0x7f7106dfe5f0; to 'Sequential' at 0x7f71066f6650>
2022-11-23T01:32:37.1665975Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.1666040Z             }
2022-11-23T01:32:37.1666104Z             
2022-11-23T01:32:37.1666174Z  - 
2022-11-23T01:32:37.1666297Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1666362Z             {
2022-11-23T01:32:37.1666498Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1666738Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1666858Z                 'obj_weakref': None
2022-11-23T01:32:37.1667072Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1667136Z             }
2022-11-23T01:32:37.1667201Z             
2022-11-23T01:32:37.1667270Z  - 
2022-11-23T01:32:37.1667445Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.1667496Z             {
2022-11-23T01:32:37.1667616Z                 'guard_types': None,
2022-11-23T01:32:37.1667720Z                 'code': None,
2022-11-23T01:32:37.1667838Z                 'obj_weakref': None
2022-11-23T01:32:37.1667960Z                 'guarded_class': None
2022-11-23T01:32:37.1668023Z             }
2022-11-23T01:32:37.1668086Z             
2022-11-23T01:32:37.1668142Z  - 
2022-11-23T01:32:37.1668287Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.1668354Z             {
2022-11-23T01:32:37.1668477Z                 'guard_types': None,
2022-11-23T01:32:37.1668586Z                 'code': None,
2022-11-23T01:32:37.1668703Z                 'obj_weakref': None
2022-11-23T01:32:37.1668823Z                 'guarded_class': None
2022-11-23T01:32:37.1668873Z             }
2022-11-23T01:32:37.1668936Z             
2022-11-23T01:32:37.1669196Z [2022-11-23 01:16:15,919] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 64
2022-11-23T01:32:37.1669574Z [2022-11-23 01:16:18,474] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fy/cfynkqnj2w4evoegorln7yrztd4lrjkatiy4jjlcm7kq4kac7pgv.py
2022-11-23T01:32:37.1669836Z [2022-11-23 01:16:18,474] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 64
2022-11-23T01:32:37.1670073Z [2022-11-23 01:16:18,492] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1670340Z [2022-11-23 01:16:18,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1670559Z [2022-11-23 01:16:18,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1670789Z [2022-11-23 01:16:18,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.1671065Z [2022-11-23 01:16:18,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.1671385Z [2022-11-23 01:16:18,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1671631Z [2022-11-23 01:16:18,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.1671866Z [2022-11-23 01:16:18,548] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1672119Z [2022-11-23 01:16:18,550] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1672369Z [2022-11-23 01:16:18,592] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1672556Z [2022-11-23 01:16:18,592] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1672689Z  __compiled_fn_66 <eval_with_key>.450 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1672766Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1672869Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.1672974Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.1673073Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.1673079Z 
2022-11-23T01:32:37.1673355Z [2022-11-23 01:16:18,593] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1673447Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1673538Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1673659Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1673737Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1673812Z               8 RETURN_VALUE
2022-11-23T01:32:37.1673818Z 
2022-11-23T01:32:37.1673879Z  
2022-11-23T01:32:37.1674152Z [2022-11-23 01:16:18,593] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1674286Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_66)
2022-11-23T01:32:37.1674376Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1674464Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1674527Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1674614Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1674704Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.1674779Z              12 RETURN_VALUE
2022-11-23T01:32:37.1674784Z 
2022-11-23T01:32:37.1674842Z  
2022-11-23T01:32:37.1675025Z [2022-11-23 01:16:18,595] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1675094Z  - 
2022-11-23T01:32:37.1675214Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1675265Z             {
2022-11-23T01:32:37.1675404Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1675590Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1675708Z                 'obj_weakref': None
2022-11-23T01:32:37.1675933Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1675996Z             }
2022-11-23T01:32:37.1676059Z             
2022-11-23T01:32:37.1676115Z  - 
2022-11-23T01:32:37.1676236Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1676298Z             {
2022-11-23T01:32:37.1676440Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1676545Z                 'code': None,
2022-11-23T01:32:37.1676750Z                 'obj_weakref': <weakref at 0x7f7106d80d70; to 'Tensor' at 0x7f7106e412f0>
2022-11-23T01:32:37.1677000Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1677051Z             }
2022-11-23T01:32:37.1677223Z             
2022-11-23T01:32:37.1677324Z  - 
2022-11-23T01:32:37.1677495Z             local 'model' NN_MODULE
2022-11-23T01:32:37.1677561Z             {
2022-11-23T01:32:37.1677695Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1677855Z                 'code': ['___check_obj_id(model, 140123416026896)'],
2022-11-23T01:32:37.1678067Z                 'obj_weakref': <weakref at 0x7f7106e19110; to 'Sequential' at 0x7f71066fdf10>
2022-11-23T01:32:37.1678299Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.1678363Z             }
2022-11-23T01:32:37.1678426Z             
2022-11-23T01:32:37.1678494Z  - 
2022-11-23T01:32:37.1678615Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1678681Z             {
2022-11-23T01:32:37.1678804Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1679018Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1679134Z                 'obj_weakref': None
2022-11-23T01:32:37.1679350Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1679414Z             }
2022-11-23T01:32:37.1679480Z             
2022-11-23T01:32:37.1679549Z  - 
2022-11-23T01:32:37.1679680Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.1679743Z             {
2022-11-23T01:32:37.1679863Z                 'guard_types': None,
2022-11-23T01:32:37.1679968Z                 'code': None,
2022-11-23T01:32:37.1680082Z                 'obj_weakref': None
2022-11-23T01:32:37.1680201Z                 'guarded_class': None
2022-11-23T01:32:37.1680253Z             }
2022-11-23T01:32:37.1680380Z             
2022-11-23T01:32:37.1680448Z  - 
2022-11-23T01:32:37.1680592Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.1680656Z             {
2022-11-23T01:32:37.1680773Z                 'guard_types': None,
2022-11-23T01:32:37.1680878Z                 'code': None,
2022-11-23T01:32:37.1680980Z                 'obj_weakref': None
2022-11-23T01:32:37.1681099Z                 'guarded_class': None
2022-11-23T01:32:37.1681162Z             }
2022-11-23T01:32:37.1681260Z             
2022-11-23T01:32:37.1681521Z [2022-11-23 01:16:18,658] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 65
2022-11-23T01:32:37.1681528Z 
2022-11-23T01:32:37.1681622Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1681691Z import torch
2022-11-23T01:32:37.1681746Z import random
2022-11-23T01:32:37.1681861Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1681982Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1681990Z 
2022-11-23T01:32:37.1682067Z aten = torch.ops.aten
2022-11-23T01:32:37.1682202Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1682293Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1682299Z 
2022-11-23T01:32:37.1682303Z 
2022-11-23T01:32:37.1682436Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1682640Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1682746Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.1682849Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1682952Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.1683050Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.1683150Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.1683211Z {
2022-11-23T01:32:37.1683307Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1683368Z     {
2022-11-23T01:32:37.1683433Z         #pragma omp for 
2022-11-23T01:32:37.1683515Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.1683577Z         {
2022-11-23T01:32:37.1683658Z             for(long i1=0; i1<7; i1+=1)
2022-11-23T01:32:37.1683720Z             {
2022-11-23T01:32:37.1683888Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (112*i0));
2022-11-23T01:32:37.1684016Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.1684127Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.1684250Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.1684367Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.1684497Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1684704Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.1684790Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1684876Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.1684974Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.1685094Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.1685179Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1685266Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1685358Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1685448Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1685555Z                 tmp14.store(in_out_ptr0 + (16*i1) + (112*i0));
2022-11-23T01:32:37.1685618Z             }
2022-11-23T01:32:37.1685697Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.1685783Z             for(long i1=112; i1<112; i1+=1)
2022-11-23T01:32:37.1685844Z             {
2022-11-23T01:32:37.1685943Z                 auto tmp0 = in_out_ptr0[i1 + (112*i0)];
2022-11-23T01:32:37.1686029Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.1686151Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.1686237Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.1686312Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.1686439Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1686592Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.1686677Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1686801Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.1686882Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.1686981Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.1687053Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1687138Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1687228Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1687316Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1687409Z                 in_out_ptr0[i1 + (112*i0)] = tmp14;
2022-11-23T01:32:37.1687474Z             }
2022-11-23T01:32:37.1687536Z         }
2022-11-23T01:32:37.1687585Z     }
2022-11-23T01:32:37.1687645Z }
2022-11-23T01:32:37.1687722Z ''')
2022-11-23T01:32:37.1687727Z 
2022-11-23T01:32:37.1687732Z 
2022-11-23T01:32:37.1687822Z async_compile.wait(globals())
2022-11-23T01:32:37.1687894Z del async_compile
2022-11-23T01:32:37.1687899Z 
2022-11-23T01:32:37.1687969Z def call(args):
2022-11-23T01:32:37.1688090Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.1688162Z     args.clear()
2022-11-23T01:32:37.1688280Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 1)
2022-11-23T01:32:37.1688385Z     assert_size_stride(buf0, (1, 32, 112), (3584, 112, 1))
2022-11-23T01:32:37.1688452Z     del arg0_1
2022-11-23T01:32:37.1688518Z     del arg1_1
2022-11-23T01:32:37.1688583Z     del arg7_1
2022-11-23T01:32:37.1688699Z     buf1 = as_strided(buf0, (1, 32, 112), (3584, 112, 1)); del buf0  # reuse
2022-11-23T01:32:37.1688915Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.1688969Z     del arg2_1
2022-11-23T01:32:37.1689034Z     del arg3_1
2022-11-23T01:32:37.1689100Z     del arg4_1
2022-11-23T01:32:37.1689164Z     del arg5_1
2022-11-23T01:32:37.1689234Z     return (buf1, )
2022-11-23T01:32:37.1689239Z 
2022-11-23T01:32:37.1689243Z 
2022-11-23T01:32:37.1689320Z if __name__ == "__main__":
2022-11-23T01:32:37.1689434Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1689545Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1689751Z     arg0_1 = rand_strided((32, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1689943Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1690132Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1690319Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1690505Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1690692Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1690870Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.1691066Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1691221Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.1691227Z 
2022-11-23T01:32:37.1691232Z 
2022-11-23T01:32:37.1691324Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1691393Z import torch
2022-11-23T01:32:37.1691463Z import random
2022-11-23T01:32:37.1691577Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1691696Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1691729Z 
2022-11-23T01:32:37.1691806Z aten = torch.ops.aten
2022-11-23T01:32:37.1691927Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1692017Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1692022Z 
2022-11-23T01:32:37.1692026Z 
2022-11-23T01:32:37.1692160Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1692363Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1692505Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.1692610Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1692712Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.1692812Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.1692900Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.1692960Z {
2022-11-23T01:32:37.1693056Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1693119Z     {
2022-11-23T01:32:37.1693196Z         #pragma omp for 
2022-11-23T01:32:37.1693276Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.1693338Z         {
2022-11-23T01:32:37.1693408Z             for(long i1=0; i1<7; i1+=1)
2022-11-23T01:32:37.1693470Z             {
2022-11-23T01:32:37.1693618Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (112*i0));
2022-11-23T01:32:37.1693744Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.1693866Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.1693989Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.1694110Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.1694241Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1694433Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.1694521Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1694608Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.1694706Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.1694839Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.1694923Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1695011Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1695104Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1695182Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1695290Z                 tmp14.store(in_out_ptr0 + (16*i1) + (112*i0));
2022-11-23T01:32:37.1695353Z             }
2022-11-23T01:32:37.1695445Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.1695531Z             for(long i1=112; i1<112; i1+=1)
2022-11-23T01:32:37.1695594Z             {
2022-11-23T01:32:37.1695694Z                 auto tmp0 = in_out_ptr0[i1 + (112*i0)];
2022-11-23T01:32:37.1695768Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.1695852Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.1695944Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.1696028Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.1696153Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1696307Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.1696392Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1696477Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.1696558Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.1696656Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.1696740Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1696825Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1696915Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1697003Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1697084Z                 in_out_ptr0[i1 + (112*i0)] = tmp14;
2022-11-23T01:32:37.1697176Z             }
2022-11-23T01:32:37.1697239Z         }
2022-11-23T01:32:37.1697302Z     }
2022-11-23T01:32:37.1697362Z }
2022-11-23T01:32:37.1697440Z ''')
2022-11-23T01:32:37.1697445Z 
2022-11-23T01:32:37.1697449Z 
2022-11-23T01:32:37.1697537Z async_compile.wait(globals())
2022-11-23T01:32:37.1697596Z del async_compile
2022-11-23T01:32:37.1697600Z 
2022-11-23T01:32:37.1697669Z def call(args):
2022-11-23T01:32:37.1697824Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.1697897Z     args.clear()
2022-11-23T01:32:37.1698027Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 4)
2022-11-23T01:32:37.1698133Z     assert_size_stride(buf0, (1, 128, 112), (14336, 112, 1))
2022-11-23T01:32:37.1698200Z     del arg0_1
2022-11-23T01:32:37.1698252Z     del arg1_1
2022-11-23T01:32:37.1698317Z     del arg7_1
2022-11-23T01:32:37.1698435Z     buf1 = as_strided(buf0, (1, 128, 112), (14336, 112, 1)); del buf0  # reuse
2022-11-23T01:32:37.1698650Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.1698715Z     del arg2_1
2022-11-23T01:32:37.1698779Z     del arg3_1
2022-11-23T01:32:37.1698844Z     del arg4_1
2022-11-23T01:32:37.1698898Z     del arg5_1
2022-11-23T01:32:37.1698969Z     return (buf1, )
2022-11-23T01:32:37.1698974Z 
2022-11-23T01:32:37.1698980Z 
2022-11-23T01:32:37.1699056Z if __name__ == "__main__":
2022-11-23T01:32:37.1699170Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1699293Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1699499Z     arg0_1 = rand_strided((128, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1699692Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1699885Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1700065Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1700256Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1700446Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1700624Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.1700838Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1700997Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.1701376Z [2022-11-23 01:16:21,224] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2h/c2h4swzyypro5cqgohxbz2c7enyjpqdphmovstj3necmxihmzf4w.py
2022-11-23T01:32:37.1701641Z [2022-11-23 01:16:21,224] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 65
2022-11-23T01:32:37.1701883Z [2022-11-23 01:16:21,251] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1702139Z [2022-11-23 01:16:21,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1702356Z [2022-11-23 01:16:21,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1702600Z [2022-11-23 01:16:21,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.1702879Z [2022-11-23 01:16:21,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.1703194Z [2022-11-23 01:16:21,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1703445Z [2022-11-23 01:16:21,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.1703709Z [2022-11-23 01:16:21,296] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1703962Z [2022-11-23 01:16:21,297] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1704211Z [2022-11-23 01:16:21,339] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1704387Z [2022-11-23 01:16:21,339] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1704662Z  __compiled_fn_67 <eval_with_key>.456 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1704756Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1704856Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.1704958Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.1705055Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.1705060Z 
2022-11-23T01:32:37.1705342Z [2022-11-23 01:16:21,340] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1705439Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1705516Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1705609Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1705700Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1705777Z               8 RETURN_VALUE
2022-11-23T01:32:37.1705782Z 
2022-11-23T01:32:37.1705843Z  
2022-11-23T01:32:37.1706123Z [2022-11-23 01:16:21,340] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1706231Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_67)
2022-11-23T01:32:37.1706322Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1706398Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1706476Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1706565Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1706659Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.1706736Z              12 RETURN_VALUE
2022-11-23T01:32:37.1706740Z 
2022-11-23T01:32:37.1706802Z  
2022-11-23T01:32:37.1706984Z [2022-11-23 01:16:21,342] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1707041Z  - 
2022-11-23T01:32:37.1707157Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1707221Z             {
2022-11-23T01:32:37.1707362Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1707548Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1707668Z                 'obj_weakref': None
2022-11-23T01:32:37.1707891Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1707944Z             }
2022-11-23T01:32:37.1708008Z             
2022-11-23T01:32:37.1708077Z  - 
2022-11-23T01:32:37.1708203Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1708266Z             {
2022-11-23T01:32:37.1708410Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1708516Z                 'code': None,
2022-11-23T01:32:37.1708709Z                 'obj_weakref': <weakref at 0x7f7106da4170; to 'Tensor' at 0x7f7106e41530>
2022-11-23T01:32:37.1708959Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1709021Z             }
2022-11-23T01:32:37.1709086Z             
2022-11-23T01:32:37.1709156Z  - 
2022-11-23T01:32:37.1709275Z             local 'model' NN_MODULE
2022-11-23T01:32:37.1709338Z             {
2022-11-23T01:32:37.1709458Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1709629Z                 'code': ['___check_obj_id(model, 140123420963344)'],
2022-11-23T01:32:37.1709842Z                 'obj_weakref': <weakref at 0x7f7106bdb7d0; to 'Sequential' at 0x7f7106bb3210>
2022-11-23T01:32:37.1710071Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.1710169Z             }
2022-11-23T01:32:37.1710231Z             
2022-11-23T01:32:37.1710299Z  - 
2022-11-23T01:32:37.1710408Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1710470Z             {
2022-11-23T01:32:37.1710605Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1710823Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1710976Z                 'obj_weakref': None
2022-11-23T01:32:37.1711193Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1711257Z             }
2022-11-23T01:32:37.1711307Z             
2022-11-23T01:32:37.1711377Z  - 
2022-11-23T01:32:37.1711520Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.1711583Z             {
2022-11-23T01:32:37.1711701Z                 'guard_types': None,
2022-11-23T01:32:37.1711807Z                 'code': None,
2022-11-23T01:32:37.1711926Z                 'obj_weakref': None
2022-11-23T01:32:37.1712032Z                 'guarded_class': None
2022-11-23T01:32:37.1712094Z             }
2022-11-23T01:32:37.1712156Z             
2022-11-23T01:32:37.1712223Z  - 
2022-11-23T01:32:37.1712366Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.1712429Z             {
2022-11-23T01:32:37.1712546Z                 'guard_types': None,
2022-11-23T01:32:37.1712638Z                 'code': None,
2022-11-23T01:32:37.1712755Z                 'obj_weakref': None
2022-11-23T01:32:37.1712873Z                 'guarded_class': None
2022-11-23T01:32:37.1712934Z             }
2022-11-23T01:32:37.1712996Z             
2022-11-23T01:32:37.1713253Z [2022-11-23 01:16:21,405] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 66
2022-11-23T01:32:37.1713625Z [2022-11-23 01:16:21,442] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/l4/cl42usuzdxhxvkftn3fpx3thdbpbqxsvmgua224fd7vxmiohp3bk.py
2022-11-23T01:32:37.1713876Z [2022-11-23 01:16:21,442] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 66
2022-11-23T01:32:37.1714110Z [2022-11-23 01:16:21,459] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1714372Z [2022-11-23 01:16:21,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1714587Z [2022-11-23 01:16:21,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1714827Z [2022-11-23 01:16:21,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.1715104Z [2022-11-23 01:16:21,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.1715416Z [2022-11-23 01:16:21,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1715664Z [2022-11-23 01:16:21,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.1715897Z [2022-11-23 01:16:21,494] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1716136Z [2022-11-23 01:16:21,495] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1716384Z [2022-11-23 01:16:21,526] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1716570Z [2022-11-23 01:16:21,526] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1716704Z  __compiled_fn_68 <eval_with_key>.462 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1716791Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1716890Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.1716989Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.1717087Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.1717266Z 
2022-11-23T01:32:37.1717550Z [2022-11-23 01:16:21,526] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1717631Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1717722Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1717814Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1717905Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1718027Z               8 RETURN_VALUE
2022-11-23T01:32:37.1718033Z 
2022-11-23T01:32:37.1718095Z  
2022-11-23T01:32:37.1718373Z [2022-11-23 01:16:21,527] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1718467Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_68)
2022-11-23T01:32:37.1718556Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1718644Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1718723Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1718815Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1718906Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.1718984Z              12 RETURN_VALUE
2022-11-23T01:32:37.1718989Z 
2022-11-23T01:32:37.1719048Z  
2022-11-23T01:32:37.1719215Z [2022-11-23 01:16:21,560] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1719284Z  - 
2022-11-23T01:32:37.1719404Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1719469Z             {
2022-11-23T01:32:37.1719609Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1719794Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1719911Z                 'obj_weakref': None
2022-11-23T01:32:37.1720121Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1720185Z             }
2022-11-23T01:32:37.1720249Z             
2022-11-23T01:32:37.1720321Z  - 
2022-11-23T01:32:37.1720443Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1720505Z             {
2022-11-23T01:32:37.1720635Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1720741Z                 'code': None,
2022-11-23T01:32:37.1720945Z                 'obj_weakref': <weakref at 0x7f7129ec2230; to 'Tensor' at 0x7f7106db2a70>
2022-11-23T01:32:37.1721195Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1721257Z             }
2022-11-23T01:32:37.1721320Z             
2022-11-23T01:32:37.1721387Z  - 
2022-11-23T01:32:37.1721494Z             local 'model' NN_MODULE
2022-11-23T01:32:37.1721555Z             {
2022-11-23T01:32:37.1721689Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1721856Z                 'code': ['___check_obj_id(model, 140123418526544)'],
2022-11-23T01:32:37.1722068Z                 'obj_weakref': <weakref at 0x7f71241c8cb0; to 'Sequential' at 0x7f7106960350>
2022-11-23T01:32:37.1722300Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.1722364Z             }
2022-11-23T01:32:37.1722424Z             
2022-11-23T01:32:37.1722480Z  - 
2022-11-23T01:32:37.1722600Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1722662Z             {
2022-11-23T01:32:37.1722796Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1723013Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1723130Z                 'obj_weakref': None
2022-11-23T01:32:37.1723347Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1723398Z             }
2022-11-23T01:32:37.1723459Z             
2022-11-23T01:32:37.1723526Z  - 
2022-11-23T01:32:37.1723670Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.1723732Z             {
2022-11-23T01:32:37.1723893Z                 'guard_types': None,
2022-11-23T01:32:37.1723998Z                 'code': None,
2022-11-23T01:32:37.1724102Z                 'obj_weakref': None
2022-11-23T01:32:37.1724222Z                 'guarded_class': None
2022-11-23T01:32:37.1724284Z             }
2022-11-23T01:32:37.1724346Z             
2022-11-23T01:32:37.1724413Z  - 
2022-11-23T01:32:37.1724555Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.1724605Z             {
2022-11-23T01:32:37.1724751Z                 'guard_types': None,
2022-11-23T01:32:37.1724856Z                 'code': None,
2022-11-23T01:32:37.1724972Z                 'obj_weakref': None
2022-11-23T01:32:37.1725090Z                 'guarded_class': None
2022-11-23T01:32:37.1725154Z             }
2022-11-23T01:32:37.1725214Z             
2022-11-23T01:32:37.1725459Z [2022-11-23 01:16:21,606] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 67
2022-11-23T01:32:37.1725476Z 
2022-11-23T01:32:37.1725483Z 
2022-11-23T01:32:37.1725564Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1725630Z import torch
2022-11-23T01:32:37.1725698Z import random
2022-11-23T01:32:37.1725812Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1725933Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1725938Z 
2022-11-23T01:32:37.1726016Z aten = torch.ops.aten
2022-11-23T01:32:37.1726153Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1726232Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1726237Z 
2022-11-23T01:32:37.1726252Z 
2022-11-23T01:32:37.1726371Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1726575Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1726692Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.1726797Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1726903Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.1727004Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.1727106Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.1727153Z {
2022-11-23T01:32:37.1727249Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1727309Z     {
2022-11-23T01:32:37.1727385Z         #pragma omp for 
2022-11-23T01:32:37.1727466Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.1727530Z         {
2022-11-23T01:32:37.1727611Z             for(long i1=0; i1<7; i1+=1)
2022-11-23T01:32:37.1727661Z             {
2022-11-23T01:32:37.1727815Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (112*i0));
2022-11-23T01:32:37.1727942Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.1728063Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.1728186Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.1728307Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.1728438Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1728643Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.1728719Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1728803Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.1728905Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.1729038Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.1729125Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1729214Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1729305Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1729384Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1729490Z                 tmp14.store(in_out_ptr0 + (16*i1) + (112*i0));
2022-11-23T01:32:37.1729586Z             }
2022-11-23T01:32:37.1729677Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.1729764Z             for(long i1=112; i1<112; i1+=1)
2022-11-23T01:32:37.1729828Z             {
2022-11-23T01:32:37.1729928Z                 auto tmp0 = in_out_ptr0[i1 + (112*i0)];
2022-11-23T01:32:37.1730002Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.1730085Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.1730211Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.1730298Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.1730426Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1730580Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.1730666Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1730748Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.1730829Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.1730927Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.1731014Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1731100Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1731190Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1731278Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1731371Z                 in_out_ptr0[i1 + (112*i0)] = tmp14;
2022-11-23T01:32:37.1731422Z             }
2022-11-23T01:32:37.1731486Z         }
2022-11-23T01:32:37.1731547Z     }
2022-11-23T01:32:37.1731609Z }
2022-11-23T01:32:37.1731687Z ''')
2022-11-23T01:32:37.1731693Z 
2022-11-23T01:32:37.1731697Z 
2022-11-23T01:32:37.1731787Z async_compile.wait(globals())
2022-11-23T01:32:37.1731859Z del async_compile
2022-11-23T01:32:37.1731864Z 
2022-11-23T01:32:37.1731922Z def call(args):
2022-11-23T01:32:37.1732038Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.1732109Z     args.clear()
2022-11-23T01:32:37.1732240Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 1)
2022-11-23T01:32:37.1732348Z     assert_size_stride(buf0, (1, 32, 112), (3584, 112, 1))
2022-11-23T01:32:37.1732414Z     del arg0_1
2022-11-23T01:32:37.1732480Z     del arg1_1
2022-11-23T01:32:37.1732533Z     del arg7_1
2022-11-23T01:32:37.1732650Z     buf1 = as_strided(buf0, (1, 32, 112), (3584, 112, 1)); del buf0  # reuse
2022-11-23T01:32:37.1732861Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.1732929Z     del arg2_1
2022-11-23T01:32:37.1732993Z     del arg3_1
2022-11-23T01:32:37.1733058Z     del arg4_1
2022-11-23T01:32:37.1733122Z     del arg5_1
2022-11-23T01:32:37.1733180Z     return (buf1, )
2022-11-23T01:32:37.1733184Z 
2022-11-23T01:32:37.1733200Z 
2022-11-23T01:32:37.1733262Z if __name__ == "__main__":
2022-11-23T01:32:37.1733375Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1733496Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1733703Z     arg0_1 = rand_strided((32, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1733896Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1734089Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1734278Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1734455Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1734640Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1734818Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.1735023Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1735177Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.1735214Z 
2022-11-23T01:32:37.1735218Z 
2022-11-23T01:32:37.1735312Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1735381Z import torch
2022-11-23T01:32:37.1735451Z import random
2022-11-23T01:32:37.1735554Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1735674Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1735679Z 
2022-11-23T01:32:37.1735756Z aten = torch.ops.aten
2022-11-23T01:32:37.1735917Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1736008Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1736012Z 
2022-11-23T01:32:37.1736017Z 
2022-11-23T01:32:37.1736151Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1736356Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1736471Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.1736563Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1736671Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.1736774Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.1736876Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.1736938Z {
2022-11-23T01:32:37.1737037Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1737101Z     {
2022-11-23T01:32:37.1737164Z         #pragma omp for 
2022-11-23T01:32:37.1737251Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.1737315Z         {
2022-11-23T01:32:37.1737402Z             for(long i1=0; i1<7; i1+=1)
2022-11-23T01:32:37.1737470Z             {
2022-11-23T01:32:37.1737621Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (112*i0));
2022-11-23T01:32:37.1737748Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.1737871Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.1737983Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.1738111Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.1738242Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1738448Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.1738537Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1738626Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.1738730Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.1738865Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.1738939Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1739028Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1739122Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1739214Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1739323Z                 tmp14.store(in_out_ptr0 + (16*i1) + (112*i0));
2022-11-23T01:32:37.1739391Z             }
2022-11-23T01:32:37.1739484Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.1739558Z             for(long i1=112; i1<112; i1+=1)
2022-11-23T01:32:37.1739622Z             {
2022-11-23T01:32:37.1739725Z                 auto tmp0 = in_out_ptr0[i1 + (112*i0)];
2022-11-23T01:32:37.1739811Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.1739900Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.1739989Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.1740078Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.1740191Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1740347Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.1740434Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1740530Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.1740613Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.1740714Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.1740832Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1740906Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1740995Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1741087Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1741183Z                 in_out_ptr0[i1 + (112*i0)] = tmp14;
2022-11-23T01:32:37.1741247Z             }
2022-11-23T01:32:37.1741312Z         }
2022-11-23T01:32:37.1741402Z     }
2022-11-23T01:32:37.1741450Z }
2022-11-23T01:32:37.1741528Z ''')
2022-11-23T01:32:37.1741533Z 
2022-11-23T01:32:37.1741538Z 
2022-11-23T01:32:37.1741629Z async_compile.wait(globals())
2022-11-23T01:32:37.1741702Z del async_compile
2022-11-23T01:32:37.1741707Z 
2022-11-23T01:32:37.1741779Z def call(args):
2022-11-23T01:32:37.1741896Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.1741969Z     args.clear()
2022-11-23T01:32:37.1742088Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 4)
2022-11-23T01:32:37.1742198Z     assert_size_stride(buf0, (1, 128, 112), (14336, 112, 1))
2022-11-23T01:32:37.1742263Z     del arg0_1
2022-11-23T01:32:37.1742327Z     del arg1_1
2022-11-23T01:32:37.1742391Z     del arg7_1
2022-11-23T01:32:37.1742508Z     buf1 = as_strided(buf0, (1, 128, 112), (14336, 112, 1)); del buf0  # reuse
2022-11-23T01:32:37.1742729Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.1742795Z     del arg2_1
2022-11-23T01:32:37.1742848Z     del arg3_1
2022-11-23T01:32:37.1742915Z     del arg4_1
2022-11-23T01:32:37.1742979Z     del arg5_1
2022-11-23T01:32:37.1743048Z     return (buf1, )
2022-11-23T01:32:37.1743054Z 
2022-11-23T01:32:37.1743058Z 
2022-11-23T01:32:37.1743133Z if __name__ == "__main__":
2022-11-23T01:32:37.1743246Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1743369Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1743564Z     arg0_1 = rand_strided((128, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1743757Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1743950Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1744141Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1744332Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1744624Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1744808Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.1745015Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1745157Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.1745541Z [2022-11-23 01:16:21,636] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vq/cvqsyyz2duysrirodwizgf2sghkvzgijnjw7fnfmw7quhwkp2ud6.py
2022-11-23T01:32:37.1745805Z [2022-11-23 01:16:21,636] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 67
2022-11-23T01:32:37.1746041Z [2022-11-23 01:16:21,652] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1746306Z [2022-11-23 01:16:21,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1746523Z [2022-11-23 01:16:21,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1746765Z [2022-11-23 01:16:21,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.1747039Z [2022-11-23 01:16:21,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.1747392Z [2022-11-23 01:16:21,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1747637Z [2022-11-23 01:16:21,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.1747857Z [2022-11-23 01:16:21,682] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1748150Z [2022-11-23 01:16:21,683] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1748400Z [2022-11-23 01:16:21,712] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1748586Z [2022-11-23 01:16:21,713] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1748719Z  __compiled_fn_69 <eval_with_key>.468 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1748810Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1748912Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.1749018Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.1749104Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.1749110Z 
2022-11-23T01:32:37.1749387Z [2022-11-23 01:16:21,713] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1749480Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1749571Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1749664Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1749754Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1749829Z               8 RETURN_VALUE
2022-11-23T01:32:37.1749835Z 
2022-11-23T01:32:37.1749895Z  
2022-11-23T01:32:37.1750155Z [2022-11-23 01:16:21,713] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1750268Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_69)
2022-11-23T01:32:37.1750358Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1750450Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1750527Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1750615Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1750705Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.1750767Z              12 RETURN_VALUE
2022-11-23T01:32:37.1750774Z 
2022-11-23T01:32:37.1750835Z  
2022-11-23T01:32:37.1751016Z [2022-11-23 01:16:21,714] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1751084Z  - 
2022-11-23T01:32:37.1751204Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1751268Z             {
2022-11-23T01:32:37.1751408Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1751580Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1751699Z                 'obj_weakref': None
2022-11-23T01:32:37.1751923Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1751988Z             }
2022-11-23T01:32:37.1752054Z             
2022-11-23T01:32:37.1752122Z  - 
2022-11-23T01:32:37.1752244Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1752294Z             {
2022-11-23T01:32:37.1752434Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1752539Z                 'code': None,
2022-11-23T01:32:37.1752745Z                 'obj_weakref': <weakref at 0x7f7106d369b0; to 'Tensor' at 0x7f7106bf01d0>
2022-11-23T01:32:37.1752994Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1753057Z             }
2022-11-23T01:32:37.1753120Z             
2022-11-23T01:32:37.1753175Z  - 
2022-11-23T01:32:37.1753294Z             local 'model' NN_MODULE
2022-11-23T01:32:37.1753356Z             {
2022-11-23T01:32:37.1753489Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1753686Z                 'code': ['___check_obj_id(model, 140123415896272)'],
2022-11-23T01:32:37.1753898Z                 'obj_weakref': <weakref at 0x7f7106e887d0; to 'Sequential' at 0x7f71066de0d0>
2022-11-23T01:32:37.1754128Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.1754192Z             }
2022-11-23T01:32:37.1754242Z             
2022-11-23T01:32:37.1754335Z  - 
2022-11-23T01:32:37.1754457Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1754519Z             {
2022-11-23T01:32:37.1754652Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1754867Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1754982Z                 'obj_weakref': None
2022-11-23T01:32:37.1755184Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1755249Z             }
2022-11-23T01:32:37.1755310Z             
2022-11-23T01:32:37.1755377Z  - 
2022-11-23T01:32:37.1755520Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.1755583Z             {
2022-11-23T01:32:37.1755689Z                 'guard_types': None,
2022-11-23T01:32:37.1755793Z                 'code': None,
2022-11-23T01:32:37.1755909Z                 'obj_weakref': None
2022-11-23T01:32:37.1756028Z                 'guarded_class': None
2022-11-23T01:32:37.1756093Z             }
2022-11-23T01:32:37.1756156Z             
2022-11-23T01:32:37.1756224Z  - 
2022-11-23T01:32:37.1756353Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.1756413Z             {
2022-11-23T01:32:37.1756531Z                 'guard_types': None,
2022-11-23T01:32:37.1756636Z                 'code': None,
2022-11-23T01:32:37.1756751Z                 'obj_weakref': None
2022-11-23T01:32:37.1756870Z                 'guarded_class': None
2022-11-23T01:32:37.1756933Z             }
2022-11-23T01:32:37.1756986Z             
2022-11-23T01:32:37.1757447Z [2022-11-23 01:16:21,759] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 68
2022-11-23T01:32:37.1757833Z [2022-11-23 01:16:24,334] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rg/crggirpq2ah7hkg64of6pirmwxlikzgxak22bzmktcozaosc7qvd.py
2022-11-23T01:32:37.1758097Z [2022-11-23 01:16:24,335] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 68
2022-11-23T01:32:37.1758333Z [2022-11-23 01:16:24,349] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1758597Z [2022-11-23 01:16:24,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1758813Z [2022-11-23 01:16:24,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1759057Z [2022-11-23 01:16:24,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.1759335Z [2022-11-23 01:16:24,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.1759634Z [2022-11-23 01:16:24,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1759880Z [2022-11-23 01:16:24,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.1760115Z [2022-11-23 01:16:24,384] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1760368Z [2022-11-23 01:16:24,386] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1760614Z [2022-11-23 01:16:24,417] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1760803Z [2022-11-23 01:16:24,417] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1760999Z  __compiled_fn_70 <eval_with_key>.474 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1761089Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1761175Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.1761276Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.1761374Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.1761380Z 
2022-11-23T01:32:37.1761693Z [2022-11-23 01:16:24,418] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1761787Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1761877Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1761969Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1762060Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1762122Z               8 RETURN_VALUE
2022-11-23T01:32:37.1762128Z 
2022-11-23T01:32:37.1762189Z  
2022-11-23T01:32:37.1762461Z [2022-11-23 01:16:24,418] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1762571Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_70)
2022-11-23T01:32:37.1762660Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1762750Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1762825Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1762913Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1762992Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.1763066Z              12 RETURN_VALUE
2022-11-23T01:32:37.1763071Z 
2022-11-23T01:32:37.1763132Z  
2022-11-23T01:32:37.1763312Z [2022-11-23 01:16:24,421] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1763382Z  - 
2022-11-23T01:32:37.1763500Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1763565Z             {
2022-11-23T01:32:37.1763693Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1763880Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1763999Z                 'obj_weakref': None
2022-11-23T01:32:37.1764220Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1764284Z             }
2022-11-23T01:32:37.1764346Z             
2022-11-23T01:32:37.1764414Z  - 
2022-11-23T01:32:37.1764525Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1764589Z             {
2022-11-23T01:32:37.1764731Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1764835Z                 'code': None,
2022-11-23T01:32:37.1765040Z                 'obj_weakref': <weakref at 0x7f7106d80650; to 'Tensor' at 0x7f7129eaed10>
2022-11-23T01:32:37.1765287Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1765349Z             }
2022-11-23T01:32:37.1765399Z             
2022-11-23T01:32:37.1765468Z  - 
2022-11-23T01:32:37.1765586Z             local 'model' NN_MODULE
2022-11-23T01:32:37.1765649Z             {
2022-11-23T01:32:37.1765783Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1765950Z                 'code': ['___check_obj_id(model, 140123421562576)'],
2022-11-23T01:32:37.1766164Z                 'obj_weakref': <weakref at 0x7f7106e25890; to 'Sequential' at 0x7f7106c456d0>
2022-11-23T01:32:37.1766385Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.1766448Z             }
2022-11-23T01:32:37.1766510Z             
2022-11-23T01:32:37.1766577Z  - 
2022-11-23T01:32:37.1766696Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1766760Z             {
2022-11-23T01:32:37.1766894Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1767100Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1767216Z                 'obj_weakref': None
2022-11-23T01:32:37.1767466Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1767530Z             }
2022-11-23T01:32:37.1767592Z             
2022-11-23T01:32:37.1767659Z  - 
2022-11-23T01:32:37.1767806Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.1767857Z             {
2022-11-23T01:32:37.1767974Z                 'guard_types': None,
2022-11-23T01:32:37.1768080Z                 'code': None,
2022-11-23T01:32:37.1768225Z                 'obj_weakref': None
2022-11-23T01:32:37.1768344Z                 'guarded_class': None
2022-11-23T01:32:37.1768406Z             }
2022-11-23T01:32:37.1768466Z             
2022-11-23T01:32:37.1768522Z  - 
2022-11-23T01:32:37.1768665Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.1768727Z             {
2022-11-23T01:32:37.1768845Z                 'guard_types': None,
2022-11-23T01:32:37.1768948Z                 'code': None,
2022-11-23T01:32:37.1769065Z                 'obj_weakref': None
2022-11-23T01:32:37.1769173Z                 'guarded_class': None
2022-11-23T01:32:37.1769234Z             }
2022-11-23T01:32:37.1769295Z             
2022-11-23T01:32:37.1769554Z [2022-11-23 01:16:24,494] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 69
2022-11-23T01:32:37.1769560Z 
2022-11-23T01:32:37.1769564Z 
2022-11-23T01:32:37.1769657Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1769725Z import torch
2022-11-23T01:32:37.1769795Z import random
2022-11-23T01:32:37.1769910Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1770018Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1770023Z 
2022-11-23T01:32:37.1770099Z aten = torch.ops.aten
2022-11-23T01:32:37.1770231Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1770323Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1770328Z 
2022-11-23T01:32:37.1770333Z 
2022-11-23T01:32:37.1770467Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1770673Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1770790Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.1770894Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1770985Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.1771089Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.1771189Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.1771249Z {
2022-11-23T01:32:37.1771346Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1771407Z     {
2022-11-23T01:32:37.1771485Z         #pragma omp for 
2022-11-23T01:32:37.1771554Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.1771615Z         {
2022-11-23T01:32:37.1771696Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T01:32:37.1771759Z             {
2022-11-23T01:32:37.1771917Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (110*i0));
2022-11-23T01:32:37.1772041Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.1772161Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.1772285Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.1772394Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.1772526Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1772730Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.1772816Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1772903Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.1773002Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.1773137Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.1773259Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1773336Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1773427Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1773517Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1773628Z                 tmp14.store(in_out_ptr0 + (16*i1) + (110*i0));
2022-11-23T01:32:37.1773694Z             }
2022-11-23T01:32:37.1773789Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.1773907Z             for(long i1=96; i1<110; i1+=1)
2022-11-23T01:32:37.1773959Z             {
2022-11-23T01:32:37.1774062Z                 auto tmp0 = in_out_ptr0[i1 + (110*i0)];
2022-11-23T01:32:37.1774150Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.1774237Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.1774327Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.1774415Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.1774545Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1774690Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.1774776Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1774872Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.1774955Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.1775054Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.1775141Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1775234Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1775314Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1775405Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1775501Z                 in_out_ptr0[i1 + (110*i0)] = tmp14;
2022-11-23T01:32:37.1775566Z             }
2022-11-23T01:32:37.1775631Z         }
2022-11-23T01:32:37.1775695Z     }
2022-11-23T01:32:37.1775743Z }
2022-11-23T01:32:37.1775820Z ''')
2022-11-23T01:32:37.1775826Z 
2022-11-23T01:32:37.1775831Z 
2022-11-23T01:32:37.1775923Z async_compile.wait(globals())
2022-11-23T01:32:37.1776001Z del async_compile
2022-11-23T01:32:37.1776006Z 
2022-11-23T01:32:37.1776078Z def call(args):
2022-11-23T01:32:37.1776201Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.1776274Z     args.clear()
2022-11-23T01:32:37.1776410Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 1)
2022-11-23T01:32:37.1776504Z     assert_size_stride(buf0, (1, 32, 110), (3520, 110, 1))
2022-11-23T01:32:37.1776577Z     del arg0_1
2022-11-23T01:32:37.1776644Z     del arg1_1
2022-11-23T01:32:37.1776710Z     del arg7_1
2022-11-23T01:32:37.1776830Z     buf1 = as_strided(buf0, (1, 32, 110), (3520, 110, 1)); del buf0  # reuse
2022-11-23T01:32:37.1777041Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.1777110Z     del arg2_1
2022-11-23T01:32:37.1777162Z     del arg3_1
2022-11-23T01:32:37.1777232Z     del arg4_1
2022-11-23T01:32:37.1777297Z     del arg5_1
2022-11-23T01:32:37.1777370Z     return (buf1, )
2022-11-23T01:32:37.1777375Z 
2022-11-23T01:32:37.1777379Z 
2022-11-23T01:32:37.1777457Z if __name__ == "__main__":
2022-11-23T01:32:37.1777571Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1777693Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1777904Z     arg0_1 = rand_strided((32, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1778084Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1778277Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1778462Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1778650Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1778838Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1779049Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.1779255Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1779413Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.1779418Z 
2022-11-23T01:32:37.1779422Z 
2022-11-23T01:32:37.1779516Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1779604Z import torch
2022-11-23T01:32:37.1779674Z import random
2022-11-23T01:32:37.1779788Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1779913Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1779917Z 
2022-11-23T01:32:37.1779994Z aten = torch.ops.aten
2022-11-23T01:32:37.1780129Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1780219Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1780223Z 
2022-11-23T01:32:37.1780230Z 
2022-11-23T01:32:37.1780349Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1780551Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1780667Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.1780770Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1780872Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.1780975Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.1781076Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.1781135Z {
2022-11-23T01:32:37.1781219Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1781280Z     {
2022-11-23T01:32:37.1781356Z         #pragma omp for 
2022-11-23T01:32:37.1781438Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.1781499Z         {
2022-11-23T01:32:37.1781580Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T01:32:37.1781631Z             {
2022-11-23T01:32:37.1781780Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (110*i0));
2022-11-23T01:32:37.1781908Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.1782031Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.1782152Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.1782276Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.1782408Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1782612Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.1782698Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1782771Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.1782869Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.1783003Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.1783089Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1783176Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1783267Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1783356Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1783452Z                 tmp14.store(in_out_ptr0 + (16*i1) + (110*i0));
2022-11-23T01:32:37.1783515Z             }
2022-11-23T01:32:37.1783607Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.1783695Z             for(long i1=96; i1<110; i1+=1)
2022-11-23T01:32:37.1783758Z             {
2022-11-23T01:32:37.1783859Z                 auto tmp0 = in_out_ptr0[i1 + (110*i0)];
2022-11-23T01:32:37.1783944Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.1784017Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.1784102Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.1784188Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.1784313Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1784602Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.1784689Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1784788Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.1784856Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.1784956Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.1785041Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1785160Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1785252Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1785340Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1785435Z                 in_out_ptr0[i1 + (110*i0)] = tmp14;
2022-11-23T01:32:37.1785485Z             }
2022-11-23T01:32:37.1785550Z         }
2022-11-23T01:32:37.1785612Z     }
2022-11-23T01:32:37.1785671Z }
2022-11-23T01:32:37.1785751Z ''')
2022-11-23T01:32:37.1785756Z 
2022-11-23T01:32:37.1785760Z 
2022-11-23T01:32:37.1785851Z async_compile.wait(globals())
2022-11-23T01:32:37.1785922Z del async_compile
2022-11-23T01:32:37.1785927Z 
2022-11-23T01:32:37.1785996Z def call(args):
2022-11-23T01:32:37.1786102Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.1786172Z     args.clear()
2022-11-23T01:32:37.1786302Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 4)
2022-11-23T01:32:37.1786411Z     assert_size_stride(buf0, (1, 128, 110), (14080, 110, 1))
2022-11-23T01:32:37.1786479Z     del arg0_1
2022-11-23T01:32:37.1786547Z     del arg1_1
2022-11-23T01:32:37.1786613Z     del arg7_1
2022-11-23T01:32:37.1786719Z     buf1 = as_strided(buf0, (1, 128, 110), (14080, 110, 1)); del buf0  # reuse
2022-11-23T01:32:37.1786930Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.1786996Z     del arg2_1
2022-11-23T01:32:37.1787063Z     del arg3_1
2022-11-23T01:32:37.1787127Z     del arg4_1
2022-11-23T01:32:37.1787190Z     del arg5_1
2022-11-23T01:32:37.1787260Z     return (buf1, )
2022-11-23T01:32:37.1787265Z 
2022-11-23T01:32:37.1787269Z 
2022-11-23T01:32:37.1787332Z if __name__ == "__main__":
2022-11-23T01:32:37.1787443Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1787567Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1787773Z     arg0_1 = rand_strided((128, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1787965Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1788155Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1788341Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1788525Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1788699Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1788878Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.1789084Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1789239Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.1789617Z [2022-11-23 01:16:27,081] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ya/cyazk4pxbeiysigyfefc2cxhnnhabuix3ct6nh4rx4yd4ucyk5ny.py
2022-11-23T01:32:37.1789879Z [2022-11-23 01:16:27,082] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 69
2022-11-23T01:32:37.1790120Z [2022-11-23 01:16:27,109] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1790387Z [2022-11-23 01:16:27,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1790637Z [2022-11-23 01:16:27,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1790868Z [2022-11-23 01:16:27,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.1791143Z [2022-11-23 01:16:27,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.1791502Z [2022-11-23 01:16:27,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1791751Z [2022-11-23 01:16:27,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.1791981Z [2022-11-23 01:16:27,152] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1792236Z [2022-11-23 01:16:27,154] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1792485Z [2022-11-23 01:16:27,192] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1792673Z [2022-11-23 01:16:27,193] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1792806Z  __compiled_fn_71 <eval_with_key>.480 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1792883Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1792980Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.1793084Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.1793181Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.1793186Z 
2022-11-23T01:32:37.1793462Z [2022-11-23 01:16:27,194] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1793553Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1793643Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1793736Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1793815Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1793890Z               8 RETURN_VALUE
2022-11-23T01:32:37.1793896Z 
2022-11-23T01:32:37.1793955Z  
2022-11-23T01:32:37.1794228Z [2022-11-23 01:16:27,194] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1794335Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_71)
2022-11-23T01:32:37.1794425Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1794516Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1794581Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1794670Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1794764Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.1794841Z              12 RETURN_VALUE
2022-11-23T01:32:37.1794846Z 
2022-11-23T01:32:37.1794905Z  
2022-11-23T01:32:37.1795084Z [2022-11-23 01:16:27,195] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1795154Z  - 
2022-11-23T01:32:37.1795275Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1795327Z             {
2022-11-23T01:32:37.1795465Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1795650Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1795769Z                 'obj_weakref': None
2022-11-23T01:32:37.1795991Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1796057Z             }
2022-11-23T01:32:37.1796120Z             
2022-11-23T01:32:37.1796175Z  - 
2022-11-23T01:32:37.1796299Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1796361Z             {
2022-11-23T01:32:37.1796503Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1796608Z                 'code': None,
2022-11-23T01:32:37.1796816Z                 'obj_weakref': <weakref at 0x7f71241dcdd0; to 'Tensor' at 0x7f7193234590>
2022-11-23T01:32:37.1797064Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1797251Z             }
2022-11-23T01:32:37.1797317Z             
2022-11-23T01:32:37.1797390Z  - 
2022-11-23T01:32:37.1797508Z             local 'model' NN_MODULE
2022-11-23T01:32:37.1797572Z             {
2022-11-23T01:32:37.1797704Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1797860Z                 'code': ['___check_obj_id(model, 140123087990096)'],
2022-11-23T01:32:37.1798129Z                 'obj_weakref': <weakref at 0x7f7106db2dd0; to 'Sequential' at 0x7f70f2e26d50>
2022-11-23T01:32:37.1798364Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.1798429Z             }
2022-11-23T01:32:37.1798491Z             
2022-11-23T01:32:37.1798560Z  - 
2022-11-23T01:32:37.1798685Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1798748Z             {
2022-11-23T01:32:37.1798870Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1799088Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1799205Z                 'obj_weakref': None
2022-11-23T01:32:37.1799421Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1799485Z             }
2022-11-23T01:32:37.1799547Z             
2022-11-23T01:32:37.1799616Z  - 
2022-11-23T01:32:37.1799750Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.1799812Z             {
2022-11-23T01:32:37.1799931Z                 'guard_types': None,
2022-11-23T01:32:37.1800037Z                 'code': None,
2022-11-23T01:32:37.1800152Z                 'obj_weakref': None
2022-11-23T01:32:37.1800273Z                 'guarded_class': None
2022-11-23T01:32:37.1800322Z             }
2022-11-23T01:32:37.1800385Z             
2022-11-23T01:32:37.1800452Z  - 
2022-11-23T01:32:37.1800595Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.1800659Z             {
2022-11-23T01:32:37.1800777Z                 'guard_types': None,
2022-11-23T01:32:37.1800881Z                 'code': None,
2022-11-23T01:32:37.1800984Z                 'obj_weakref': None
2022-11-23T01:32:37.1801102Z                 'guarded_class': None
2022-11-23T01:32:37.1801165Z             }
2022-11-23T01:32:37.1801226Z             
2022-11-23T01:32:37.1801486Z [2022-11-23 01:16:27,258] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 70
2022-11-23T01:32:37.1801856Z [2022-11-23 01:16:29,846] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ld/cldncktxddhugfprivk77d6v3tdysr4epx3dloti7d4sn4mdbqnr.py
2022-11-23T01:32:37.1802116Z [2022-11-23 01:16:29,847] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 70
2022-11-23T01:32:37.1802350Z [2022-11-23 01:16:29,869] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1802606Z [2022-11-23 01:16:29,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1802824Z [2022-11-23 01:16:29,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1803065Z [2022-11-23 01:16:29,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.1803341Z [2022-11-23 01:16:29,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.1803654Z [2022-11-23 01:16:29,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1803899Z [2022-11-23 01:16:29,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.1804130Z [2022-11-23 01:16:29,914] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1804435Z [2022-11-23 01:16:29,916] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1804679Z [2022-11-23 01:16:29,956] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1804854Z [2022-11-23 01:16:29,957] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1804987Z  __compiled_fn_72 <eval_with_key>.486 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1805105Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1805204Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.1805305Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.1805402Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.1805409Z 
2022-11-23T01:32:37.1805684Z [2022-11-23 01:16:29,957] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1805780Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1805860Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1805953Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1806043Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1806119Z               8 RETURN_VALUE
2022-11-23T01:32:37.1806124Z 
2022-11-23T01:32:37.1806186Z  
2022-11-23T01:32:37.1806458Z [2022-11-23 01:16:29,958] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1806568Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_72)
2022-11-23T01:32:37.1806658Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1806735Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1806811Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1806900Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1806989Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.1807063Z              12 RETURN_VALUE
2022-11-23T01:32:37.1807068Z 
2022-11-23T01:32:37.1807130Z  
2022-11-23T01:32:37.1807311Z [2022-11-23 01:16:29,960] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1807367Z  - 
2022-11-23T01:32:37.1807483Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1807546Z             {
2022-11-23T01:32:37.1807685Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1807870Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1807989Z                 'obj_weakref': None
2022-11-23T01:32:37.1808211Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1808264Z             }
2022-11-23T01:32:37.1808325Z             
2022-11-23T01:32:37.1808393Z  - 
2022-11-23T01:32:37.1808516Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1808578Z             {
2022-11-23T01:32:37.1808719Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1808824Z                 'code': None,
2022-11-23T01:32:37.1809019Z                 'obj_weakref': <weakref at 0x7f719bfe7950; to 'Tensor' at 0x7f7193234ad0>
2022-11-23T01:32:37.1809264Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1809329Z             }
2022-11-23T01:32:37.1809391Z             
2022-11-23T01:32:37.1809460Z  - 
2022-11-23T01:32:37.1809581Z             local 'model' NN_MODULE
2022-11-23T01:32:37.1809645Z             {
2022-11-23T01:32:37.1809769Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1809941Z                 'code': ['___check_obj_id(model, 140123418565008)'],
2022-11-23T01:32:37.1810153Z                 'obj_weakref': <weakref at 0x7f7106e885f0; to 'Sequential' at 0x7f7106969990>
2022-11-23T01:32:37.1810384Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.1810451Z             }
2022-11-23T01:32:37.1810515Z             
2022-11-23T01:32:37.1810585Z  - 
2022-11-23T01:32:37.1810724Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1810790Z             {
2022-11-23T01:32:37.1810925Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1811142Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1811259Z                 'obj_weakref': None
2022-11-23T01:32:37.1811477Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1811570Z             }
2022-11-23T01:32:37.1811621Z             
2022-11-23T01:32:37.1811691Z  - 
2022-11-23T01:32:37.1811837Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.1811901Z             {
2022-11-23T01:32:37.1812021Z                 'guard_types': None,
2022-11-23T01:32:37.1812129Z                 'code': None,
2022-11-23T01:32:37.1812248Z                 'obj_weakref': None
2022-11-23T01:32:37.1812355Z                 'guarded_class': None
2022-11-23T01:32:37.1812421Z             }
2022-11-23T01:32:37.1812485Z             
2022-11-23T01:32:37.1812554Z  - 
2022-11-23T01:32:37.1812699Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.1812763Z             {
2022-11-23T01:32:37.1812882Z                 'guard_types': None,
2022-11-23T01:32:37.1812975Z                 'code': None,
2022-11-23T01:32:37.1813093Z                 'obj_weakref': None
2022-11-23T01:32:37.1813215Z                 'guarded_class': None
2022-11-23T01:32:37.1813283Z             }
2022-11-23T01:32:37.1813348Z             
2022-11-23T01:32:37.1813609Z [2022-11-23 01:16:30,038] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 71
2022-11-23T01:32:37.1813615Z 
2022-11-23T01:32:37.1813619Z 
2022-11-23T01:32:37.1813714Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1813770Z import torch
2022-11-23T01:32:37.1813840Z import random
2022-11-23T01:32:37.1813958Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1814080Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1814087Z 
2022-11-23T01:32:37.1814167Z aten = torch.ops.aten
2022-11-23T01:32:37.1814304Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1814396Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1814402Z 
2022-11-23T01:32:37.1814406Z 
2022-11-23T01:32:37.1814540Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1814734Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1814851Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.1814957Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1815063Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.1815167Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.1815269Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.1815329Z {
2022-11-23T01:32:37.1815416Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1815476Z     {
2022-11-23T01:32:37.1815554Z         #pragma omp for 
2022-11-23T01:32:37.1815638Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.1815702Z         {
2022-11-23T01:32:37.1815784Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T01:32:37.1815849Z             {
2022-11-23T01:32:37.1815992Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (108*i0));
2022-11-23T01:32:37.1816119Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.1816241Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.1816365Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.1816487Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.1816615Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1816821Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.1816941Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1817028Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.1817115Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.1817247Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.1817333Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1817420Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1817539Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1817629Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1817735Z                 tmp14.store(in_out_ptr0 + (16*i1) + (108*i0));
2022-11-23T01:32:37.1817787Z             }
2022-11-23T01:32:37.1817879Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.1817965Z             for(long i1=96; i1<108; i1+=1)
2022-11-23T01:32:37.1818027Z             {
2022-11-23T01:32:37.1818128Z                 auto tmp0 = in_out_ptr0[i1 + (108*i0)];
2022-11-23T01:32:37.1818214Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.1818299Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.1818373Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.1818458Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.1818583Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1818737Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.1818824Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1818918Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.1818999Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.1819085Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.1819168Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1819254Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1819342Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1819433Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1819528Z                 in_out_ptr0[i1 + (108*i0)] = tmp14;
2022-11-23T01:32:37.1819591Z             }
2022-11-23T01:32:37.1819641Z         }
2022-11-23T01:32:37.1819701Z     }
2022-11-23T01:32:37.1819760Z }
2022-11-23T01:32:37.1819836Z ''')
2022-11-23T01:32:37.1819841Z 
2022-11-23T01:32:37.1819845Z 
2022-11-23T01:32:37.1819935Z async_compile.wait(globals())
2022-11-23T01:32:37.1820007Z del async_compile
2022-11-23T01:32:37.1820012Z 
2022-11-23T01:32:37.1820082Z def call(args):
2022-11-23T01:32:37.1820190Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.1820261Z     args.clear()
2022-11-23T01:32:37.1820393Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 1)
2022-11-23T01:32:37.1820498Z     assert_size_stride(buf0, (1, 32, 108), (3456, 108, 1))
2022-11-23T01:32:37.1820565Z     del arg0_1
2022-11-23T01:32:37.1820629Z     del arg1_1
2022-11-23T01:32:37.1820697Z     del arg7_1
2022-11-23T01:32:37.1820804Z     buf1 = as_strided(buf0, (1, 32, 108), (3456, 108, 1)); del buf0  # reuse
2022-11-23T01:32:37.1821015Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.1821080Z     del arg2_1
2022-11-23T01:32:37.1821145Z     del arg3_1
2022-11-23T01:32:37.1821209Z     del arg4_1
2022-11-23T01:32:37.1821273Z     del arg5_1
2022-11-23T01:32:37.1821343Z     return (buf1, )
2022-11-23T01:32:37.1821350Z 
2022-11-23T01:32:37.1821354Z 
2022-11-23T01:32:37.1821429Z if __name__ == "__main__":
2022-11-23T01:32:37.1821531Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1821652Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1821857Z     arg0_1 = rand_strided((32, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1822048Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1822238Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1822461Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1822646Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1822832Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1822998Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.1823232Z     arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1823388Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.1823394Z 
2022-11-23T01:32:37.1823398Z 
2022-11-23T01:32:37.1823491Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1823561Z import torch
2022-11-23T01:32:37.1823631Z import random
2022-11-23T01:32:37.1823748Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1823870Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1823875Z 
2022-11-23T01:32:37.1823939Z aten = torch.ops.aten
2022-11-23T01:32:37.1824072Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1824162Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1824167Z 
2022-11-23T01:32:37.1824171Z 
2022-11-23T01:32:37.1824304Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1824600Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1824719Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.1824823Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1824926Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.1825015Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.1825116Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.1825179Z {
2022-11-23T01:32:37.1825276Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1825377Z     {
2022-11-23T01:32:37.1825454Z         #pragma omp for 
2022-11-23T01:32:37.1825538Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.1825589Z         {
2022-11-23T01:32:37.1825672Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T01:32:37.1825735Z             {
2022-11-23T01:32:37.1825883Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (108*i0));
2022-11-23T01:32:37.1826010Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.1826132Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.1826254Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.1826377Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.1826503Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1826706Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.1826794Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1826881Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.1826979Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.1827111Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.1827196Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1827274Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1827366Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1827454Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1827562Z                 tmp14.store(in_out_ptr0 + (16*i1) + (108*i0));
2022-11-23T01:32:37.1827627Z             }
2022-11-23T01:32:37.1827718Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.1827804Z             for(long i1=96; i1<108; i1+=1)
2022-11-23T01:32:37.1827856Z             {
2022-11-23T01:32:37.1827957Z                 auto tmp0 = in_out_ptr0[i1 + (108*i0)];
2022-11-23T01:32:37.1828078Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.1828162Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.1828248Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.1828333Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.1828459Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1828612Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.1828713Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1828810Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.1828891Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.1828993Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.1829076Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1829162Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1829250Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1829327Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1829422Z                 in_out_ptr0[i1 + (108*i0)] = tmp14;
2022-11-23T01:32:37.1829485Z             }
2022-11-23T01:32:37.1829549Z         }
2022-11-23T01:32:37.1829611Z     }
2022-11-23T01:32:37.1829673Z }
2022-11-23T01:32:37.1829737Z ''')
2022-11-23T01:32:37.1829757Z 
2022-11-23T01:32:37.1829761Z 
2022-11-23T01:32:37.1829838Z async_compile.wait(globals())
2022-11-23T01:32:37.1829911Z del async_compile
2022-11-23T01:32:37.1829916Z 
2022-11-23T01:32:37.1829989Z def call(args):
2022-11-23T01:32:37.1830108Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.1830179Z     args.clear()
2022-11-23T01:32:37.1830308Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 4)
2022-11-23T01:32:37.1830416Z     assert_size_stride(buf0, (1, 128, 108), (13824, 108, 1))
2022-11-23T01:32:37.1830471Z     del arg0_1
2022-11-23T01:32:37.1830536Z     del arg1_1
2022-11-23T01:32:37.1830602Z     del arg7_1
2022-11-23T01:32:37.1830723Z     buf1 = as_strided(buf0, (1, 128, 108), (13824, 108, 1)); del buf0  # reuse
2022-11-23T01:32:37.1830933Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.1830998Z     del arg2_1
2022-11-23T01:32:37.1831062Z     del arg3_1
2022-11-23T01:32:37.1831115Z     del arg4_1
2022-11-23T01:32:37.1831178Z     del arg5_1
2022-11-23T01:32:37.1831250Z     return (buf1, )
2022-11-23T01:32:37.1831255Z 
2022-11-23T01:32:37.1831259Z 
2022-11-23T01:32:37.1831338Z if __name__ == "__main__":
2022-11-23T01:32:37.1831452Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1831574Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1831777Z     arg0_1 = rand_strided((128, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1831969Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1832149Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1832334Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1832523Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1832705Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1832887Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.1833093Z     arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1833251Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.1833626Z [2022-11-23 01:16:32,629] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ym/cymlubi26k6t6xrsshhlnyi5uukcp4turtjezsabiunsri45bpuy.py
2022-11-23T01:32:37.1833876Z [2022-11-23 01:16:32,629] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 71
2022-11-23T01:32:37.1834146Z [2022-11-23 01:16:32,657] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1834411Z [2022-11-23 01:16:32,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1834625Z [2022-11-23 01:16:32,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1834910Z [2022-11-23 01:16:32,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.1835190Z [2022-11-23 01:16:32,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.1835501Z [2022-11-23 01:16:32,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1835747Z [2022-11-23 01:16:32,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.1835980Z [2022-11-23 01:16:32,699] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1836230Z [2022-11-23 01:16:32,700] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1836464Z [2022-11-23 01:16:32,742] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1836654Z [2022-11-23 01:16:32,742] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1836786Z  __compiled_fn_73 <eval_with_key>.492 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1836875Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1836973Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.1837074Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.1837331Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.1837339Z 
2022-11-23T01:32:37.1837643Z [2022-11-23 01:16:32,743] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1837723Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1837813Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1837906Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1837996Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1838072Z               8 RETURN_VALUE
2022-11-23T01:32:37.1838080Z 
2022-11-23T01:32:37.1838142Z  
2022-11-23T01:32:37.1838414Z [2022-11-23 01:16:32,743] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1838521Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_73)
2022-11-23T01:32:37.1838598Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1838686Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1838762Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1838855Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1838944Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.1839018Z              12 RETURN_VALUE
2022-11-23T01:32:37.1839023Z 
2022-11-23T01:32:37.1839082Z  
2022-11-23T01:32:37.1839250Z [2022-11-23 01:16:32,745] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1839320Z  - 
2022-11-23T01:32:37.1839437Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1839500Z             {
2022-11-23T01:32:37.1839642Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1839825Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1839944Z                 'obj_weakref': None
2022-11-23T01:32:37.1840155Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1840218Z             }
2022-11-23T01:32:37.1840280Z             
2022-11-23T01:32:37.1840348Z  - 
2022-11-23T01:32:37.1840471Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1840605Z             {
2022-11-23T01:32:37.1840748Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1840842Z                 'code': None,
2022-11-23T01:32:37.1841049Z                 'obj_weakref': <weakref at 0x7f7129eaec50; to 'Tensor' at 0x7f7106bdf050>
2022-11-23T01:32:37.1841296Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1841397Z             }
2022-11-23T01:32:37.1841461Z             
2022-11-23T01:32:37.1841533Z  - 
2022-11-23T01:32:37.1841652Z             local 'model' NN_MODULE
2022-11-23T01:32:37.1841702Z             {
2022-11-23T01:32:37.1841836Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1842004Z                 'code': ['___check_obj_id(model, 140123418747536)'],
2022-11-23T01:32:37.1842215Z                 'obj_weakref': <weakref at 0x7f7112a3d350; to 'Sequential' at 0x7f7106996290>
2022-11-23T01:32:37.1842448Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.1842511Z             }
2022-11-23T01:32:37.1842574Z             
2022-11-23T01:32:37.1842629Z  - 
2022-11-23T01:32:37.1842749Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1842810Z             {
2022-11-23T01:32:37.1842945Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1843162Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1843280Z                 'obj_weakref': None
2022-11-23T01:32:37.1843497Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1843549Z             }
2022-11-23T01:32:37.1843612Z             
2022-11-23T01:32:37.1843680Z  - 
2022-11-23T01:32:37.1843825Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.1843887Z             {
2022-11-23T01:32:37.1844008Z                 'guard_types': None,
2022-11-23T01:32:37.1844117Z                 'code': None,
2022-11-23T01:32:37.1844220Z                 'obj_weakref': None
2022-11-23T01:32:37.1844342Z                 'guarded_class': None
2022-11-23T01:32:37.1844406Z             }
2022-11-23T01:32:37.1844470Z             
2022-11-23T01:32:37.1844539Z  - 
2022-11-23T01:32:37.1844684Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.1844738Z             {
2022-11-23T01:32:37.1844858Z                 'guard_types': None,
2022-11-23T01:32:37.1844967Z                 'code': None,
2022-11-23T01:32:37.1845085Z                 'obj_weakref': None
2022-11-23T01:32:37.1845205Z                 'guarded_class': None
2022-11-23T01:32:37.1845269Z             }
2022-11-23T01:32:37.1845333Z             
2022-11-23T01:32:37.1845579Z [2022-11-23 01:16:32,806] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 72
2022-11-23T01:32:37.1845954Z [2022-11-23 01:16:32,843] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/on/conqxhnbrlmtfenec5wivgvo7brwhguvzw4ss2dlr7ejmm7f6h3b.py
2022-11-23T01:32:37.1846218Z [2022-11-23 01:16:32,843] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 72
2022-11-23T01:32:37.1846459Z [2022-11-23 01:16:32,855] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1846724Z [2022-11-23 01:16:32,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1846941Z [2022-11-23 01:16:32,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1847182Z [2022-11-23 01:16:32,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.1847457Z [2022-11-23 01:16:32,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.1847774Z [2022-11-23 01:16:32,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1848059Z [2022-11-23 01:16:32,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.1848280Z [2022-11-23 01:16:32,927] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1848529Z [2022-11-23 01:16:32,929] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1848810Z [2022-11-23 01:16:32,966] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1848996Z [2022-11-23 01:16:32,967] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1849130Z  __compiled_fn_74 <eval_with_key>.498 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1849219Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1849320Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.1849424Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.1849511Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.1849517Z 
2022-11-23T01:32:37.1849795Z [2022-11-23 01:16:32,968] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1849889Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1849979Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1850071Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1850164Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1850242Z               8 RETURN_VALUE
2022-11-23T01:32:37.1850247Z 
2022-11-23T01:32:37.1850308Z  
2022-11-23T01:32:37.1850567Z [2022-11-23 01:16:32,968] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1850676Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_74)
2022-11-23T01:32:37.1850767Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1850858Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1850934Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1851021Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1851114Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.1851176Z              12 RETURN_VALUE
2022-11-23T01:32:37.1851182Z 
2022-11-23T01:32:37.1851242Z  
2022-11-23T01:32:37.1851423Z [2022-11-23 01:16:32,969] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1851492Z  - 
2022-11-23T01:32:37.1851608Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1851675Z             {
2022-11-23T01:32:37.1851813Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1851983Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1852105Z                 'obj_weakref': None
2022-11-23T01:32:37.1852328Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1852396Z             }
2022-11-23T01:32:37.1852457Z             
2022-11-23T01:32:37.1852525Z  - 
2022-11-23T01:32:37.1852650Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1852699Z             {
2022-11-23T01:32:37.1852840Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1852947Z                 'code': None,
2022-11-23T01:32:37.1853156Z                 'obj_weakref': <weakref at 0x7f710cd86110; to 'Tensor' at 0x7f712a397590>
2022-11-23T01:32:37.1853407Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1853470Z             }
2022-11-23T01:32:37.1853532Z             
2022-11-23T01:32:37.1853586Z  - 
2022-11-23T01:32:37.1853703Z             local 'model' NN_MODULE
2022-11-23T01:32:37.1853764Z             {
2022-11-23T01:32:37.1853898Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1854066Z                 'code': ['___check_obj_id(model, 140123088394704)'],
2022-11-23T01:32:37.1854317Z                 'obj_weakref': <weakref at 0x7f712a3972f0; to 'Sequential' at 0x7f70f2e899d0>
2022-11-23T01:32:37.1854585Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.1854677Z             }
2022-11-23T01:32:37.1854747Z             
2022-11-23T01:32:37.1854854Z  - 
2022-11-23T01:32:37.1854978Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1855041Z             {
2022-11-23T01:32:37.1855210Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1855428Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1855545Z                 'obj_weakref': None
2022-11-23T01:32:37.1855750Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1855812Z             }
2022-11-23T01:32:37.1855878Z             
2022-11-23T01:32:37.1855944Z  - 
2022-11-23T01:32:37.1856087Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.1856151Z             {
2022-11-23T01:32:37.1856258Z                 'guard_types': None,
2022-11-23T01:32:37.1856363Z                 'code': None,
2022-11-23T01:32:37.1856478Z                 'obj_weakref': None
2022-11-23T01:32:37.1856596Z                 'guarded_class': None
2022-11-23T01:32:37.1856659Z             }
2022-11-23T01:32:37.1856721Z             
2022-11-23T01:32:37.1856788Z  - 
2022-11-23T01:32:37.1856921Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.1856982Z             {
2022-11-23T01:32:37.1857100Z                 'guard_types': None,
2022-11-23T01:32:37.1857204Z                 'code': None,
2022-11-23T01:32:37.1857319Z                 'obj_weakref': None
2022-11-23T01:32:37.1857438Z                 'guarded_class': None
2022-11-23T01:32:37.1857500Z             }
2022-11-23T01:32:37.1857549Z             
2022-11-23T01:32:37.1857855Z [2022-11-23 01:16:33,029] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 73
2022-11-23T01:32:37.1857863Z 
2022-11-23T01:32:37.1857868Z 
2022-11-23T01:32:37.1857960Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1858028Z import torch
2022-11-23T01:32:37.1858095Z import random
2022-11-23T01:32:37.1858209Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1858330Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1858334Z 
2022-11-23T01:32:37.1858412Z aten = torch.ops.aten
2022-11-23T01:32:37.1858534Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1858624Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1858629Z 
2022-11-23T01:32:37.1858634Z 
2022-11-23T01:32:37.1858765Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1858969Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1859085Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.1859189Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1859293Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.1859394Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.1859483Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.1859543Z {
2022-11-23T01:32:37.1859642Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1859703Z     {
2022-11-23T01:32:37.1859780Z         #pragma omp for 
2022-11-23T01:32:37.1859865Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.1859916Z         {
2022-11-23T01:32:37.1859999Z             for(long i1=0; i1<7; i1+=1)
2022-11-23T01:32:37.1860062Z             {
2022-11-23T01:32:37.1860216Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (112*i0));
2022-11-23T01:32:37.1860341Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.1860461Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.1860635Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.1860755Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.1860874Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1861078Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.1861164Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1861280Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.1861379Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.1861512Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.1861598Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1861687Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1861767Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1861856Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1861966Z                 tmp14.store(in_out_ptr0 + (16*i1) + (112*i0));
2022-11-23T01:32:37.1862030Z             }
2022-11-23T01:32:37.1862125Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.1862210Z             for(long i1=112; i1<112; i1+=1)
2022-11-23T01:32:37.1862272Z             {
2022-11-23T01:32:37.1862362Z                 auto tmp0 = in_out_ptr0[i1 + (112*i0)];
2022-11-23T01:32:37.1862446Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.1862536Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.1862623Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.1862709Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.1862836Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1862990Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.1863064Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1863158Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.1863241Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.1863341Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.1863426Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1863511Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1863600Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1863677Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1863772Z                 in_out_ptr0[i1 + (112*i0)] = tmp14;
2022-11-23T01:32:37.1863834Z             }
2022-11-23T01:32:37.1863899Z         }
2022-11-23T01:32:37.1863960Z     }
2022-11-23T01:32:37.1864019Z }
2022-11-23T01:32:37.1864095Z ''')
2022-11-23T01:32:37.1864100Z 
2022-11-23T01:32:37.1864104Z 
2022-11-23T01:32:37.1864180Z async_compile.wait(globals())
2022-11-23T01:32:37.1864252Z del async_compile
2022-11-23T01:32:37.1864257Z 
2022-11-23T01:32:37.1864327Z def call(args):
2022-11-23T01:32:37.1864516Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.1864589Z     args.clear()
2022-11-23T01:32:37.1864725Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1,), (0,), (1,), False, (0,), 1)
2022-11-23T01:32:37.1864831Z     assert_size_stride(buf0, (1, 32, 112), (3584, 112, 1))
2022-11-23T01:32:37.1864899Z     del arg0_1
2022-11-23T01:32:37.1864952Z     del arg6_1
2022-11-23T01:32:37.1865068Z     buf1 = as_strided(buf0, (1, 32, 112), (3584, 112, 1)); del buf0  # reuse
2022-11-23T01:32:37.1865300Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.1865402Z     del arg1_1
2022-11-23T01:32:37.1865494Z     del arg2_1
2022-11-23T01:32:37.1865581Z     del arg3_1
2022-11-23T01:32:37.1865677Z     del arg4_1
2022-11-23T01:32:37.1865765Z     return (buf1, )
2022-11-23T01:32:37.1865772Z 
2022-11-23T01:32:37.1865777Z 
2022-11-23T01:32:37.1865881Z if __name__ == "__main__":
2022-11-23T01:32:37.1866054Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1866243Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1866461Z     arg0_1 = rand_strided((32, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1866654Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1866850Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1867039Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1867246Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1867428Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.1867634Z     arg6_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1867787Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.1867792Z 
2022-11-23T01:32:37.1867797Z 
2022-11-23T01:32:37.1867891Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1867962Z import torch
2022-11-23T01:32:37.1868031Z import random
2022-11-23T01:32:37.1868146Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1868253Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1868258Z 
2022-11-23T01:32:37.1868334Z aten = torch.ops.aten
2022-11-23T01:32:37.1868467Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1868556Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1868563Z 
2022-11-23T01:32:37.1868567Z 
2022-11-23T01:32:37.1868699Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1868902Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1869016Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.1869121Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1869212Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.1869314Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.1869415Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.1869476Z {
2022-11-23T01:32:37.1869573Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1869635Z     {
2022-11-23T01:32:37.1869712Z         #pragma omp for 
2022-11-23T01:32:37.1869782Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.1869847Z         {
2022-11-23T01:32:37.1869931Z             for(long i1=0; i1<7; i1+=1)
2022-11-23T01:32:37.1869994Z             {
2022-11-23T01:32:37.1870145Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (112*i0));
2022-11-23T01:32:37.1870270Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.1870391Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.1870515Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.1870626Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.1870757Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1870961Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.1871048Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1871135Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.1871233Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.1871368Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.1871453Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1871529Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1871618Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1871706Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1871813Z                 tmp14.store(in_out_ptr0 + (16*i1) + (112*i0));
2022-11-23T01:32:37.1871877Z             }
2022-11-23T01:32:37.1872001Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.1872087Z             for(long i1=112; i1<112; i1+=1)
2022-11-23T01:32:37.1872138Z             {
2022-11-23T01:32:37.1872237Z                 auto tmp0 = in_out_ptr0[i1 + (112*i0)];
2022-11-23T01:32:37.1872322Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.1872410Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.1872495Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.1872616Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.1872744Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1872888Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.1872972Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1873068Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.1873149Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.1873248Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.1873331Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1873419Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1873496Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1873582Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1873676Z                 in_out_ptr0[i1 + (112*i0)] = tmp14;
2022-11-23T01:32:37.1873738Z             }
2022-11-23T01:32:37.1873800Z         }
2022-11-23T01:32:37.1873862Z     }
2022-11-23T01:32:37.1873920Z }
2022-11-23T01:32:37.1873985Z ''')
2022-11-23T01:32:37.1873992Z 
2022-11-23T01:32:37.1873996Z 
2022-11-23T01:32:37.1874085Z async_compile.wait(globals())
2022-11-23T01:32:37.1874158Z del async_compile
2022-11-23T01:32:37.1874163Z 
2022-11-23T01:32:37.1874233Z def call(args):
2022-11-23T01:32:37.1874343Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.1874415Z     args.clear()
2022-11-23T01:32:37.1874549Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1,), (0,), (1,), False, (0,), 4)
2022-11-23T01:32:37.1874645Z     assert_size_stride(buf0, (1, 128, 112), (14336, 112, 1))
2022-11-23T01:32:37.1874711Z     del arg0_1
2022-11-23T01:32:37.1874775Z     del arg6_1
2022-11-23T01:32:37.1874893Z     buf1 = as_strided(buf0, (1, 128, 112), (14336, 112, 1)); del buf0  # reuse
2022-11-23T01:32:37.1875104Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.1875169Z     del arg1_1
2022-11-23T01:32:37.1875237Z     del arg2_1
2022-11-23T01:32:37.1875289Z     del arg3_1
2022-11-23T01:32:37.1875353Z     del arg4_1
2022-11-23T01:32:37.1875422Z     return (buf1, )
2022-11-23T01:32:37.1875427Z 
2022-11-23T01:32:37.1875431Z 
2022-11-23T01:32:37.1875506Z if __name__ == "__main__":
2022-11-23T01:32:37.1875620Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1875740Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1875948Z     arg0_1 = rand_strided((128, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1876143Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1876324Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1876513Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1876699Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1876878Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.1877085Z     arg6_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1877350Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.1877724Z [2022-11-23 01:16:33,065] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pi/cpiervkbpc34due74py7knjnxgmc4t5646hoktp5vfsah7unprke.py
2022-11-23T01:32:37.1877989Z [2022-11-23 01:16:33,065] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 73
2022-11-23T01:32:37.1878298Z [2022-11-23 01:16:33,086] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1878552Z [2022-11-23 01:16:33,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1878827Z [2022-11-23 01:16:33,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1879073Z [2022-11-23 01:16:33,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.1879348Z [2022-11-23 01:16:33,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.1879663Z [2022-11-23 01:16:33,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1879912Z [2022-11-23 01:16:33,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.1880153Z [2022-11-23 01:16:33,128] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1880407Z [2022-11-23 01:16:33,130] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1880657Z [2022-11-23 01:16:33,167] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1880834Z [2022-11-23 01:16:33,167] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1880969Z  __compiled_fn_75 <eval_with_key>.504 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1881060Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1881161Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.1881265Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.1881364Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.1881373Z 
2022-11-23T01:32:37.1881650Z [2022-11-23 01:16:33,168] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1881745Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1881823Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1881915Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1882006Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1882086Z               8 RETURN_VALUE
2022-11-23T01:32:37.1882091Z 
2022-11-23T01:32:37.1882153Z  
2022-11-23T01:32:37.1882432Z [2022-11-23 01:16:33,168] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1882542Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_75)
2022-11-23T01:32:37.1882633Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1882708Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1882787Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1882880Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1882970Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.1883047Z              12 RETURN_VALUE
2022-11-23T01:32:37.1883053Z 
2022-11-23T01:32:37.1883114Z  
2022-11-23T01:32:37.1883297Z [2022-11-23 01:16:33,170] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1883353Z  - 
2022-11-23T01:32:37.1883472Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1883539Z             {
2022-11-23T01:32:37.1883684Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1883874Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1883994Z                 'obj_weakref': None
2022-11-23T01:32:37.1884219Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1884271Z             }
2022-11-23T01:32:37.1884335Z             
2022-11-23T01:32:37.1884405Z  - 
2022-11-23T01:32:37.1884562Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1884624Z             {
2022-11-23T01:32:37.1884765Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1884872Z                 'code': None,
2022-11-23T01:32:37.1885066Z                 'obj_weakref': <weakref at 0x7f7106d80c50; to 'Tensor' at 0x7f7129e3e2f0>
2022-11-23T01:32:37.1885319Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1885410Z             }
2022-11-23T01:32:37.1885474Z             
2022-11-23T01:32:37.1885542Z  - 
2022-11-23T01:32:37.1885663Z             local 'model' NN_MODULE
2022-11-23T01:32:37.1885727Z             {
2022-11-23T01:32:37.1885848Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1886017Z                 'code': ['___check_obj_id(model, 140123422040912)'],
2022-11-23T01:32:37.1886232Z                 'obj_weakref': <weakref at 0x7f7106b73350; to 'Sequential' at 0x7f7106cba350>
2022-11-23T01:32:37.1886468Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.1886532Z             }
2022-11-23T01:32:37.1886596Z             
2022-11-23T01:32:37.1886665Z  - 
2022-11-23T01:32:37.1886774Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1886835Z             {
2022-11-23T01:32:37.1886971Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1887191Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1887309Z                 'obj_weakref': None
2022-11-23T01:32:37.1887531Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1887592Z             }
2022-11-23T01:32:37.1887640Z             
2022-11-23T01:32:37.1887707Z  - 
2022-11-23T01:32:37.1887853Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.1887915Z             {
2022-11-23T01:32:37.1888038Z                 'guard_types': None,
2022-11-23T01:32:37.1888142Z                 'code': None,
2022-11-23T01:32:37.1888258Z                 'obj_weakref': None
2022-11-23T01:32:37.1888366Z                 'guarded_class': None
2022-11-23T01:32:37.1888428Z             }
2022-11-23T01:32:37.1888490Z             
2022-11-23T01:32:37.1888557Z  - 
2022-11-23T01:32:37.1888700Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.1888762Z             {
2022-11-23T01:32:37.1888870Z                 'guard_types': None,
2022-11-23T01:32:37.1888973Z                 'code': None,
2022-11-23T01:32:37.1889088Z                 'obj_weakref': None
2022-11-23T01:32:37.1889206Z                 'guarded_class': None
2022-11-23T01:32:37.1889268Z             }
2022-11-23T01:32:37.1889328Z             
2022-11-23T01:32:37.1889585Z [2022-11-23 01:16:33,232] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 74
2022-11-23T01:32:37.1889958Z [2022-11-23 01:16:33,269] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ua/cuaxeafmvcoxc66ildpi4u6s54ntlphozu7iquapbk5aphk6hns5.py
2022-11-23T01:32:37.1890209Z [2022-11-23 01:16:33,269] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 74
2022-11-23T01:32:37.1890444Z [2022-11-23 01:16:33,281] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1890713Z [2022-11-23 01:16:33,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1890926Z [2022-11-23 01:16:33,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1891166Z [2022-11-23 01:16:33,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.1891444Z [2022-11-23 01:16:33,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.1891755Z [2022-11-23 01:16:33,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1892040Z [2022-11-23 01:16:33,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.1892272Z [2022-11-23 01:16:33,321] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1892540Z [2022-11-23 01:16:33,323] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1892786Z [2022-11-23 01:16:33,360] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1892971Z [2022-11-23 01:16:33,361] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1893105Z  __compiled_fn_76 <eval_with_key>.510 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1893195Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1893292Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.1893396Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.1893492Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.1893497Z 
2022-11-23T01:32:37.1893761Z [2022-11-23 01:16:33,362] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1893853Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1893943Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1894036Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1894125Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1894200Z               8 RETURN_VALUE
2022-11-23T01:32:37.1894206Z 
2022-11-23T01:32:37.1894265Z  
2022-11-23T01:32:37.1894540Z [2022-11-23 01:16:33,362] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1894634Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_76)
2022-11-23T01:32:37.1894722Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1894812Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1894891Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1894978Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1895066Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.1895139Z              12 RETURN_VALUE
2022-11-23T01:32:37.1895144Z 
2022-11-23T01:32:37.1895190Z  
2022-11-23T01:32:37.1895373Z [2022-11-23 01:16:33,364] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1895442Z  - 
2022-11-23T01:32:37.1895559Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1895622Z             {
2022-11-23T01:32:37.1895762Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1895947Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1896055Z                 'obj_weakref': None
2022-11-23T01:32:37.1896275Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1896340Z             }
2022-11-23T01:32:37.1896402Z             
2022-11-23T01:32:37.1896469Z  - 
2022-11-23T01:32:37.1896630Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1896725Z             {
2022-11-23T01:32:37.1896898Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1897006Z                 'code': None,
2022-11-23T01:32:37.1897212Z                 'obj_weakref': <weakref at 0x7f71c1358d70; to 'Tensor' at 0x7f71070fcbf0>
2022-11-23T01:32:37.1897463Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1897529Z             }
2022-11-23T01:32:37.1897593Z             
2022-11-23T01:32:37.1897664Z  - 
2022-11-23T01:32:37.1897770Z             local 'model' NN_MODULE
2022-11-23T01:32:37.1897832Z             {
2022-11-23T01:32:37.1897966Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1898134Z                 'code': ['___check_obj_id(model, 140123415544784)'],
2022-11-23T01:32:37.1898392Z                 'obj_weakref': <weakref at 0x7f71070fcad0; to 'Sequential' at 0x7f71066883d0>
2022-11-23T01:32:37.1898623Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.1898686Z             }
2022-11-23T01:32:37.1898749Z             
2022-11-23T01:32:37.1898805Z  - 
2022-11-23T01:32:37.1898925Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1898987Z             {
2022-11-23T01:32:37.1899159Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1899378Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1899497Z                 'obj_weakref': None
2022-11-23T01:32:37.1899717Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1899767Z             }
2022-11-23T01:32:37.1899830Z             
2022-11-23T01:32:37.1899900Z  - 
2022-11-23T01:32:37.1900048Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.1900111Z             {
2022-11-23T01:32:37.1900228Z                 'guard_types': None,
2022-11-23T01:32:37.1900323Z                 'code': None,
2022-11-23T01:32:37.1900438Z                 'obj_weakref': None
2022-11-23T01:32:37.1900557Z                 'guarded_class': None
2022-11-23T01:32:37.1900619Z             }
2022-11-23T01:32:37.1900681Z             
2022-11-23T01:32:37.1900749Z  - 
2022-11-23T01:32:37.1900894Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.1900945Z             {
2022-11-23T01:32:37.1901063Z                 'guard_types': None,
2022-11-23T01:32:37.1901167Z                 'code': None,
2022-11-23T01:32:37.1901283Z                 'obj_weakref': None
2022-11-23T01:32:37.1901401Z                 'guarded_class': None
2022-11-23T01:32:37.1901464Z             }
2022-11-23T01:32:37.1901527Z             
2022-11-23T01:32:37.1901772Z [2022-11-23 01:16:33,424] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 75
2022-11-23T01:32:37.1901782Z 
2022-11-23T01:32:37.1901800Z 
2022-11-23T01:32:37.1901880Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1901947Z import torch
2022-11-23T01:32:37.1902014Z import random
2022-11-23T01:32:37.1902129Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1902250Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1902255Z 
2022-11-23T01:32:37.1902335Z aten = torch.ops.aten
2022-11-23T01:32:37.1902468Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1902546Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1902551Z 
2022-11-23T01:32:37.1902555Z 
2022-11-23T01:32:37.1902686Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1902892Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1903005Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.1903113Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1903216Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.1903317Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.1903416Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.1903464Z {
2022-11-23T01:32:37.1903561Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1903623Z     {
2022-11-23T01:32:37.1903700Z         #pragma omp for 
2022-11-23T01:32:37.1903781Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.1903843Z         {
2022-11-23T01:32:37.1903913Z             for(long i1=0; i1<7; i1+=1)
2022-11-23T01:32:37.1903974Z             {
2022-11-23T01:32:37.1904125Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (112*i0));
2022-11-23T01:32:37.1904250Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.1904372Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.1904607Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.1904730Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.1904865Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1905072Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.1905148Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1905270Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.1905375Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.1905510Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.1905596Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1905684Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1905774Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1905851Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1905962Z                 tmp14.store(in_out_ptr0 + (16*i1) + (112*i0));
2022-11-23T01:32:37.1906029Z             }
2022-11-23T01:32:37.1906120Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.1906208Z             for(long i1=112; i1<112; i1+=1)
2022-11-23T01:32:37.1906272Z             {
2022-11-23T01:32:37.1906372Z                 auto tmp0 = in_out_ptr0[i1 + (112*i0)];
2022-11-23T01:32:37.1906445Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.1906531Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.1906617Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.1906703Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.1906831Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1906985Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.1907070Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1907151Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.1907231Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.1907375Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.1907495Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1907603Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1907695Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1907783Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1907866Z                 in_out_ptr0[i1 + (112*i0)] = tmp14;
2022-11-23T01:32:37.1907931Z             }
2022-11-23T01:32:37.1907993Z         }
2022-11-23T01:32:37.1908053Z     }
2022-11-23T01:32:37.1908112Z }
2022-11-23T01:32:37.1908191Z ''')
2022-11-23T01:32:37.1908196Z 
2022-11-23T01:32:37.1908201Z 
2022-11-23T01:32:37.1908290Z async_compile.wait(globals())
2022-11-23T01:32:37.1908350Z del async_compile
2022-11-23T01:32:37.1908367Z 
2022-11-23T01:32:37.1908423Z def call(args):
2022-11-23T01:32:37.1908536Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.1908613Z     args.clear()
2022-11-23T01:32:37.1908746Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1,), (0,), (2,), False, (0,), 1)
2022-11-23T01:32:37.1908851Z     assert_size_stride(buf0, (1, 32, 112), (3584, 112, 1))
2022-11-23T01:32:37.1908918Z     del arg0_1
2022-11-23T01:32:37.1908983Z     del arg6_1
2022-11-23T01:32:37.1909090Z     buf1 = as_strided(buf0, (1, 32, 112), (3584, 112, 1)); del buf0  # reuse
2022-11-23T01:32:37.1909303Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.1909369Z     del arg1_1
2022-11-23T01:32:37.1909433Z     del arg2_1
2022-11-23T01:32:37.1909498Z     del arg3_1
2022-11-23T01:32:37.1909561Z     del arg4_1
2022-11-23T01:32:37.1909631Z     return (buf1, )
2022-11-23T01:32:37.1909636Z 
2022-11-23T01:32:37.1909640Z 
2022-11-23T01:32:37.1909703Z if __name__ == "__main__":
2022-11-23T01:32:37.1909815Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1909980Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1910185Z     arg0_1 = rand_strided((32, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1910378Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1910567Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1910789Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1910975Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1911141Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.1911346Z     arg6_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1911494Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.1911500Z 
2022-11-23T01:32:37.1911504Z 
2022-11-23T01:32:37.1911601Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1911675Z import torch
2022-11-23T01:32:37.1911746Z import random
2022-11-23T01:32:37.1911861Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1911980Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1911985Z 
2022-11-23T01:32:37.1912050Z aten = torch.ops.aten
2022-11-23T01:32:37.1912182Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1912274Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1912279Z 
2022-11-23T01:32:37.1912283Z 
2022-11-23T01:32:37.1912415Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1912617Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1912731Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.1912836Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1912939Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.1913029Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.1913129Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.1913188Z {
2022-11-23T01:32:37.1913283Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1913344Z     {
2022-11-23T01:32:37.1913420Z         #pragma omp for 
2022-11-23T01:32:37.1913503Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.1913553Z         {
2022-11-23T01:32:37.1913636Z             for(long i1=0; i1<7; i1+=1)
2022-11-23T01:32:37.1913701Z             {
2022-11-23T01:32:37.1913852Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (112*i0));
2022-11-23T01:32:37.1913981Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.1914100Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.1914224Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.1914349Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.1914466Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1914669Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.1914756Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1914843Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.1914943Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.1915081Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.1915169Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1915260Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1915338Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1915428Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1915539Z                 tmp14.store(in_out_ptr0 + (16*i1) + (112*i0));
2022-11-23T01:32:37.1915605Z             }
2022-11-23T01:32:37.1915738Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.1915826Z             for(long i1=112; i1<112; i1+=1)
2022-11-23T01:32:37.1915892Z             {
2022-11-23T01:32:37.1915980Z                 auto tmp0 = in_out_ptr0[i1 + (112*i0)];
2022-11-23T01:32:37.1916068Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.1916154Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.1916241Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.1916357Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.1916487Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1916643Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.1916716Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1916812Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.1916896Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.1916996Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.1917084Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1917329Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1917427Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1917503Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1917603Z                 in_out_ptr0[i1 + (112*i0)] = tmp14;
2022-11-23T01:32:37.1917667Z             }
2022-11-23T01:32:37.1917731Z         }
2022-11-23T01:32:37.1917795Z     }
2022-11-23T01:32:37.1917856Z }
2022-11-23T01:32:37.1917927Z ''')
2022-11-23T01:32:37.1917947Z 
2022-11-23T01:32:37.1917951Z 
2022-11-23T01:32:37.1918029Z async_compile.wait(globals())
2022-11-23T01:32:37.1918101Z del async_compile
2022-11-23T01:32:37.1918106Z 
2022-11-23T01:32:37.1918176Z def call(args):
2022-11-23T01:32:37.1918291Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.1918363Z     args.clear()
2022-11-23T01:32:37.1918495Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1,), (0,), (2,), False, (0,), 4)
2022-11-23T01:32:37.1918605Z     assert_size_stride(buf0, (1, 128, 112), (14336, 112, 1))
2022-11-23T01:32:37.1918659Z     del arg0_1
2022-11-23T01:32:37.1918726Z     del arg6_1
2022-11-23T01:32:37.1918845Z     buf1 = as_strided(buf0, (1, 128, 112), (14336, 112, 1)); del buf0  # reuse
2022-11-23T01:32:37.1919058Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.1919127Z     del arg1_1
2022-11-23T01:32:37.1919195Z     del arg2_1
2022-11-23T01:32:37.1919261Z     del arg3_1
2022-11-23T01:32:37.1919314Z     del arg4_1
2022-11-23T01:32:37.1919386Z     return (buf1, )
2022-11-23T01:32:37.1919391Z 
2022-11-23T01:32:37.1919395Z 
2022-11-23T01:32:37.1919472Z if __name__ == "__main__":
2022-11-23T01:32:37.1919587Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1919711Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1919919Z     arg0_1 = rand_strided((128, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1920116Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1926891Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1927181Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1927381Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1927567Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.1927777Z     arg6_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1927930Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.1928305Z [2022-11-23 01:16:33,454] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/z4/cz4yfst2zs74na6eytogomzawynmp7vw5bgsvhe2bkrm32aekbgm.py
2022-11-23T01:32:37.1928689Z [2022-11-23 01:16:33,455] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 75
2022-11-23T01:32:37.1928926Z [2022-11-23 01:16:33,476] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1929195Z [2022-11-23 01:16:33,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1929438Z [2022-11-23 01:16:33,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1929684Z [2022-11-23 01:16:33,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.1929958Z [2022-11-23 01:16:33,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.1930277Z [2022-11-23 01:16:33,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1930527Z [2022-11-23 01:16:33,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.1930760Z [2022-11-23 01:16:33,524] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1931011Z [2022-11-23 01:16:33,527] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1931259Z [2022-11-23 01:16:33,590] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1931448Z [2022-11-23 01:16:33,591] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1931569Z  __compiled_fn_77 <eval_with_key>.516 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1931658Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1931760Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.1931862Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.1931961Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.1931970Z 
2022-11-23T01:32:37.1932247Z [2022-11-23 01:16:33,591] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1932340Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1932431Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1932511Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1932602Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1932679Z               8 RETURN_VALUE
2022-11-23T01:32:37.1932685Z 
2022-11-23T01:32:37.1932745Z  
2022-11-23T01:32:37.1933020Z [2022-11-23 01:16:33,591] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1933126Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_77)
2022-11-23T01:32:37.1933214Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1933303Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1933368Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1933459Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1933549Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.1933624Z              12 RETURN_VALUE
2022-11-23T01:32:37.1933629Z 
2022-11-23T01:32:37.1933688Z  
2022-11-23T01:32:37.1933871Z [2022-11-23 01:16:33,593] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1933940Z  - 
2022-11-23T01:32:37.1934047Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1934112Z             {
2022-11-23T01:32:37.1934252Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1934435Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1934554Z                 'obj_weakref': None
2022-11-23T01:32:37.1934774Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1934839Z             }
2022-11-23T01:32:37.1934889Z             
2022-11-23T01:32:37.1934985Z  - 
2022-11-23T01:32:37.1935108Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1935170Z             {
2022-11-23T01:32:37.1935310Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1935414Z                 'code': None,
2022-11-23T01:32:37.1935620Z                 'obj_weakref': <weakref at 0x7f7112a3d2f0; to 'Tensor' at 0x7f71070fce30>
2022-11-23T01:32:37.1935881Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1935945Z             }
2022-11-23T01:32:37.1936007Z             
2022-11-23T01:32:37.1936075Z  - 
2022-11-23T01:32:37.1936193Z             local 'model' NN_MODULE
2022-11-23T01:32:37.1936258Z             {
2022-11-23T01:32:37.1936390Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1936544Z                 'code': ['___check_obj_id(model, 140123426509904)'],
2022-11-23T01:32:37.1936759Z                 'obj_weakref': <weakref at 0x7f713009fa70; to 'Sequential' at 0x7f71070fd450>
2022-11-23T01:32:37.1936991Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.1937053Z             }
2022-11-23T01:32:37.1937115Z             
2022-11-23T01:32:37.1937183Z  - 
2022-11-23T01:32:37.1937306Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1937357Z             {
2022-11-23T01:32:37.1937492Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1937708Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1937824Z                 'obj_weakref': None
2022-11-23T01:32:37.1938042Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1938107Z             }
2022-11-23T01:32:37.1938167Z             
2022-11-23T01:32:37.1938222Z  - 
2022-11-23T01:32:37.1938365Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.1938427Z             {
2022-11-23T01:32:37.1938550Z                 'guard_types': None,
2022-11-23T01:32:37.1938655Z                 'code': None,
2022-11-23T01:32:37.1938771Z                 'obj_weakref': None
2022-11-23T01:32:37.1938890Z                 'guarded_class': None
2022-11-23T01:32:37.1938940Z             }
2022-11-23T01:32:37.1939000Z             
2022-11-23T01:32:37.1939068Z  - 
2022-11-23T01:32:37.1939212Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.1939274Z             {
2022-11-23T01:32:37.1939394Z                 'guard_types': None,
2022-11-23T01:32:37.1939486Z                 'code': None,
2022-11-23T01:32:37.1939600Z                 'obj_weakref': None
2022-11-23T01:32:37.1939719Z                 'guarded_class': None
2022-11-23T01:32:37.1939782Z             }
2022-11-23T01:32:37.1939844Z             
2022-11-23T01:32:37.1940100Z [2022-11-23 01:16:33,662] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 76
2022-11-23T01:32:37.1940466Z [2022-11-23 01:16:33,698] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zz/czz755bcnax4lrhdvmho632vavyzxdlz3b66dvnrbdpuoa47jtb5.py
2022-11-23T01:32:37.1940730Z [2022-11-23 01:16:33,699] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 76
2022-11-23T01:32:37.1940952Z [2022-11-23 01:16:33,708] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1941221Z [2022-11-23 01:16:33,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1941435Z [2022-11-23 01:16:33,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1941677Z [2022-11-23 01:16:33,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.1941952Z [2022-11-23 01:16:33,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.1942265Z [2022-11-23 01:16:33,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1942552Z [2022-11-23 01:16:33,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.1942782Z [2022-11-23 01:16:33,738] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1943066Z [2022-11-23 01:16:33,739] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1943314Z [2022-11-23 01:16:33,767] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1943488Z [2022-11-23 01:16:33,767] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1943623Z  __compiled_fn_78 <eval_with_key>.522 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1943710Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1943808Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.1943912Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.1944009Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.1944015Z 
2022-11-23T01:32:37.1944289Z [2022-11-23 01:16:33,768] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1944386Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1944549Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1944645Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1944737Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1944812Z               8 RETURN_VALUE
2022-11-23T01:32:37.1944818Z 
2022-11-23T01:32:37.1944879Z  
2022-11-23T01:32:37.1945155Z [2022-11-23 01:16:33,768] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1945261Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_78)
2022-11-23T01:32:37.1945340Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1945427Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1945504Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1945592Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1945681Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.1945756Z              12 RETURN_VALUE
2022-11-23T01:32:37.1945761Z 
2022-11-23T01:32:37.1945822Z  
2022-11-23T01:32:37.1945994Z [2022-11-23 01:16:33,769] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1946062Z  - 
2022-11-23T01:32:37.1946181Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1946245Z             {
2022-11-23T01:32:37.1946386Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1946571Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1946689Z                 'obj_weakref': None
2022-11-23T01:32:37.1946911Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1946965Z             }
2022-11-23T01:32:37.1947028Z             
2022-11-23T01:32:37.1947095Z  - 
2022-11-23T01:32:37.1947218Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1947281Z             {
2022-11-23T01:32:37.1947423Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1947517Z                 'code': None,
2022-11-23T01:32:37.1947728Z                 'obj_weakref': <weakref at 0x7f710cd86e90; to 'Tensor' at 0x7f710cd860b0>
2022-11-23T01:32:37.1947977Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1948040Z             }
2022-11-23T01:32:37.1948102Z             
2022-11-23T01:32:37.1948169Z  - 
2022-11-23T01:32:37.1948289Z             local 'model' NN_MODULE
2022-11-23T01:32:37.1948339Z             {
2022-11-23T01:32:37.1948471Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1948640Z                 'code': ['___check_obj_id(model, 140123416504656)'],
2022-11-23T01:32:37.1948887Z                 'obj_weakref': <weakref at 0x7f7106c9fd10; to 'Sequential' at 0x7f7106772950>
2022-11-23T01:32:37.1949118Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.1949184Z             }
2022-11-23T01:32:37.1949246Z             
2022-11-23T01:32:37.1949314Z  - 
2022-11-23T01:32:37.1949422Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1949513Z             {
2022-11-23T01:32:37.1949650Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1949867Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1949984Z                 'obj_weakref': None
2022-11-23T01:32:37.1950198Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1950260Z             }
2022-11-23T01:32:37.1950310Z             
2022-11-23T01:32:37.1950379Z  - 
2022-11-23T01:32:37.1950522Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.1950585Z             {
2022-11-23T01:32:37.1950703Z                 'guard_types': None,
2022-11-23T01:32:37.1950809Z                 'code': None,
2022-11-23T01:32:37.1950912Z                 'obj_weakref': None
2022-11-23T01:32:37.1951031Z                 'guarded_class': None
2022-11-23T01:32:37.1951093Z             }
2022-11-23T01:32:37.1951155Z             
2022-11-23T01:32:37.1951226Z  - 
2022-11-23T01:32:37.1951369Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.1951431Z             {
2022-11-23T01:32:37.1951536Z                 'guard_types': None,
2022-11-23T01:32:37.1951639Z                 'code': None,
2022-11-23T01:32:37.1951754Z                 'obj_weakref': None
2022-11-23T01:32:37.1951873Z                 'guarded_class': None
2022-11-23T01:32:37.1951936Z             }
2022-11-23T01:32:37.1951997Z             
2022-11-23T01:32:37.1952253Z [2022-11-23 01:16:33,814] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 77
2022-11-23T01:32:37.1952261Z 
2022-11-23T01:32:37.1952265Z 
2022-11-23T01:32:37.1952358Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1952413Z import torch
2022-11-23T01:32:37.1952479Z import random
2022-11-23T01:32:37.1952594Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1952715Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1952720Z 
2022-11-23T01:32:37.1952800Z aten = torch.ops.aten
2022-11-23T01:32:37.1952933Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1953024Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1953029Z 
2022-11-23T01:32:37.1953034Z 
2022-11-23T01:32:37.1953154Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1953359Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1953478Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.1953583Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1953687Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.1953788Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.1953888Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.1953949Z {
2022-11-23T01:32:37.1954032Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1954093Z     {
2022-11-23T01:32:37.1954172Z         #pragma omp for 
2022-11-23T01:32:37.1954254Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.1954316Z         {
2022-11-23T01:32:37.1954398Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T01:32:37.1954448Z             {
2022-11-23T01:32:37.1954607Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (110*i0));
2022-11-23T01:32:37.1954733Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.1954885Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.1955008Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.1955127Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.1955259Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1955462Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.1955576Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1955652Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.1955751Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.1955885Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.1955971Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1956059Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1956150Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1956240Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1956339Z                 tmp14.store(in_out_ptr0 + (16*i1) + (110*i0));
2022-11-23T01:32:37.1956405Z             }
2022-11-23T01:32:37.1956498Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.1956585Z             for(long i1=96; i1<110; i1+=1)
2022-11-23T01:32:37.1956649Z             {
2022-11-23T01:32:37.1956751Z                 auto tmp0 = in_out_ptr0[i1 + (110*i0)];
2022-11-23T01:32:37.1956840Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.1956913Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.1957003Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.1957091Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.1957344Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1957501Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.1957587Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1957685Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.1957757Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.1957858Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.1957944Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1958032Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1958124Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1958215Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1958312Z                 in_out_ptr0[i1 + (110*i0)] = tmp14;
2022-11-23T01:32:37.1958363Z             }
2022-11-23T01:32:37.1958427Z         }
2022-11-23T01:32:37.1958490Z     }
2022-11-23T01:32:37.1958551Z }
2022-11-23T01:32:37.1958630Z ''')
2022-11-23T01:32:37.1958635Z 
2022-11-23T01:32:37.1958639Z 
2022-11-23T01:32:37.1958730Z async_compile.wait(globals())
2022-11-23T01:32:37.1958805Z del async_compile
2022-11-23T01:32:37.1958810Z 
2022-11-23T01:32:37.1958883Z def call(args):
2022-11-23T01:32:37.1958982Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.1959057Z     args.clear()
2022-11-23T01:32:37.1959192Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1,), (0,), (1,), False, (0,), 1)
2022-11-23T01:32:37.1959300Z     assert_size_stride(buf0, (1, 32, 110), (3520, 110, 1))
2022-11-23T01:32:37.1959370Z     del arg0_1
2022-11-23T01:32:37.1959438Z     del arg6_1
2022-11-23T01:32:37.1959556Z     buf1 = as_strided(buf0, (1, 32, 110), (3520, 110, 1)); del buf0  # reuse
2022-11-23T01:32:37.1959760Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.1959829Z     del arg1_1
2022-11-23T01:32:37.1959896Z     del arg2_1
2022-11-23T01:32:37.1959963Z     del arg3_1
2022-11-23T01:32:37.1960030Z     del arg4_1
2022-11-23T01:32:37.1960102Z     return (buf1, )
2022-11-23T01:32:37.1960107Z 
2022-11-23T01:32:37.1960111Z 
2022-11-23T01:32:37.1960187Z if __name__ == "__main__":
2022-11-23T01:32:37.1960290Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1960460Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1960667Z     arg0_1 = rand_strided((32, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1960862Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1961054Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1961277Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1961465Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1961645Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.1961838Z     arg6_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1961990Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.1961996Z 
2022-11-23T01:32:37.1962003Z 
2022-11-23T01:32:37.1962097Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1962168Z import torch
2022-11-23T01:32:37.1962239Z import random
2022-11-23T01:32:37.1962354Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1962472Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1962477Z 
2022-11-23T01:32:37.1962554Z aten = torch.ops.aten
2022-11-23T01:32:37.1962677Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1962767Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1962772Z 
2022-11-23T01:32:37.1962777Z 
2022-11-23T01:32:37.1962907Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1963110Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1963222Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.1963327Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1963432Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.1963533Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.1963622Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.1963682Z {
2022-11-23T01:32:37.1963778Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1963838Z     {
2022-11-23T01:32:37.1963915Z         #pragma omp for 
2022-11-23T01:32:37.1963997Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.1964061Z         {
2022-11-23T01:32:37.1964131Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T01:32:37.1964193Z             {
2022-11-23T01:32:37.1964342Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (110*i0));
2022-11-23T01:32:37.1964467Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.1964588Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.1964712Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.1964835Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.1964963Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1965156Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.1965242Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1965329Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.1965430Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.1965564Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.1965651Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1965739Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1965829Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1965907Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1966017Z                 tmp14.store(in_out_ptr0 + (16*i1) + (110*i0));
2022-11-23T01:32:37.1966113Z             }
2022-11-23T01:32:37.1966205Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.1966291Z             for(long i1=96; i1<110; i1+=1)
2022-11-23T01:32:37.1966353Z             {
2022-11-23T01:32:37.1966452Z                 auto tmp0 = in_out_ptr0[i1 + (110*i0)];
2022-11-23T01:32:37.1966525Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.1966608Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.1966738Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.1966826Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.1966952Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1967105Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.1967189Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1967272Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.1967351Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.1967452Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.1967538Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1967624Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1967713Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1967803Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.1967885Z                 in_out_ptr0[i1 + (110*i0)] = tmp14;
2022-11-23T01:32:37.1967949Z             }
2022-11-23T01:32:37.1968011Z         }
2022-11-23T01:32:37.1968074Z     }
2022-11-23T01:32:37.1968140Z }
2022-11-23T01:32:37.1968216Z ''')
2022-11-23T01:32:37.1968222Z 
2022-11-23T01:32:37.1968226Z 
2022-11-23T01:32:37.1968315Z async_compile.wait(globals())
2022-11-23T01:32:37.1968374Z del async_compile
2022-11-23T01:32:37.1968379Z 
2022-11-23T01:32:37.1968448Z def call(args):
2022-11-23T01:32:37.1968558Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.1968629Z     args.clear()
2022-11-23T01:32:37.1968761Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1,), (0,), (1,), False, (0,), 4)
2022-11-23T01:32:37.1968871Z     assert_size_stride(buf0, (1, 128, 110), (14080, 110, 1))
2022-11-23T01:32:37.1968937Z     del arg0_1
2022-11-23T01:32:37.1968991Z     del arg6_1
2022-11-23T01:32:37.1969106Z     buf1 = as_strided(buf0, (1, 128, 110), (14080, 110, 1)); del buf0  # reuse
2022-11-23T01:32:37.1969317Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.1969386Z     del arg1_1
2022-11-23T01:32:37.1969452Z     del arg2_1
2022-11-23T01:32:37.1969516Z     del arg3_1
2022-11-23T01:32:37.1969579Z     del arg4_1
2022-11-23T01:32:37.1969637Z     return (buf1, )
2022-11-23T01:32:37.1969655Z 
2022-11-23T01:32:37.1969659Z 
2022-11-23T01:32:37.1969722Z if __name__ == "__main__":
2022-11-23T01:32:37.1969836Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.1969959Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.1970166Z     arg0_1 = rand_strided((128, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1970362Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1970554Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1970745Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1970934Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1971098Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.1971304Z     arg6_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.1971453Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.1971835Z [2022-11-23 01:16:33,844] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kw/ckwreb6fxkxonnvovttjblse7fmb2jzaggdtrlv7sw5hb73ltd4y.py
2022-11-23T01:32:37.1972139Z [2022-11-23 01:16:33,844] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 77
2022-11-23T01:32:37.1972375Z [2022-11-23 01:16:33,858] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1972641Z [2022-11-23 01:16:33,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1972883Z [2022-11-23 01:16:33,858] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1973127Z [2022-11-23 01:16:33,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.1973389Z [2022-11-23 01:16:33,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.1973703Z [2022-11-23 01:16:33,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1973952Z [2022-11-23 01:16:33,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.1974184Z [2022-11-23 01:16:33,889] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1974435Z [2022-11-23 01:16:33,890] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1974684Z [2022-11-23 01:16:33,918] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1974871Z [2022-11-23 01:16:33,918] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1975002Z  __compiled_fn_79 <eval_with_key>.528 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1975079Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1975177Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.1975277Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.1975374Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.1975382Z 
2022-11-23T01:32:37.1975660Z [2022-11-23 01:16:33,918] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1975753Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1975843Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1975934Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1976013Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1976088Z               8 RETURN_VALUE
2022-11-23T01:32:37.1976093Z 
2022-11-23T01:32:37.1976152Z  
2022-11-23T01:32:37.1976428Z [2022-11-23 01:16:33,919] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1976534Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_79)
2022-11-23T01:32:37.1976623Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1976711Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1976789Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1976864Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1976953Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.1977027Z              12 RETURN_VALUE
2022-11-23T01:32:37.1977033Z 
2022-11-23T01:32:37.1977092Z  
2022-11-23T01:32:37.1977271Z [2022-11-23 01:16:33,920] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1977339Z  - 
2022-11-23T01:32:37.1977462Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1977515Z             {
2022-11-23T01:32:37.1977654Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1977840Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1977958Z                 'obj_weakref': None
2022-11-23T01:32:37.1978185Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1978252Z             }
2022-11-23T01:32:37.1978344Z             
2022-11-23T01:32:37.1978399Z  - 
2022-11-23T01:32:37.1978521Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1978585Z             {
2022-11-23T01:32:37.1978727Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1978834Z                 'code': None,
2022-11-23T01:32:37.1979041Z                 'obj_weakref': <weakref at 0x7f71188f01d0; to 'Tensor' at 0x7f7112a3dc50>
2022-11-23T01:32:37.1979324Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1979375Z             }
2022-11-23T01:32:37.1979437Z             
2022-11-23T01:32:37.1979504Z  - 
2022-11-23T01:32:37.1979624Z             local 'model' NN_MODULE
2022-11-23T01:32:37.1979685Z             {
2022-11-23T01:32:37.1979818Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1979988Z                 'code': ['___check_obj_id(model, 140123422189520)'],
2022-11-23T01:32:37.1980191Z                 'obj_weakref': <weakref at 0x7f71c25e7d10; to 'Sequential' at 0x7f7106cde7d0>
2022-11-23T01:32:37.1980426Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.1980489Z             }
2022-11-23T01:32:37.1980551Z             
2022-11-23T01:32:37.1980620Z  - 
2022-11-23T01:32:37.1980740Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1980803Z             {
2022-11-23T01:32:37.1980925Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1981142Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1981260Z                 'obj_weakref': None
2022-11-23T01:32:37.1981477Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1981539Z             }
2022-11-23T01:32:37.1981600Z             
2022-11-23T01:32:37.1981667Z  - 
2022-11-23T01:32:37.1981798Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.1981866Z             {
2022-11-23T01:32:37.1981983Z                 'guard_types': None,
2022-11-23T01:32:37.1982088Z                 'code': None,
2022-11-23T01:32:37.1982203Z                 'obj_weakref': None
2022-11-23T01:32:37.1982321Z                 'guarded_class': None
2022-11-23T01:32:37.1982383Z             }
2022-11-23T01:32:37.1982432Z             
2022-11-23T01:32:37.1982500Z  - 
2022-11-23T01:32:37.1982644Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.1982708Z             {
2022-11-23T01:32:37.1982826Z                 'guard_types': None,
2022-11-23T01:32:37.1982930Z                 'code': None,
2022-11-23T01:32:37.1983045Z                 'obj_weakref': None
2022-11-23T01:32:37.1983152Z                 'guarded_class': None
2022-11-23T01:32:37.1983213Z             }
2022-11-23T01:32:37.1983274Z             
2022-11-23T01:32:37.1983530Z [2022-11-23 01:16:33,977] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 78
2022-11-23T01:32:37.1983901Z [2022-11-23 01:16:34,005] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xu/cxuhd33fheoynzrrt4bnwbwpkwxju76m6s6dc3vfppedbtbqm5hh.py
2022-11-23T01:32:37.1984159Z [2022-11-23 01:16:34,005] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 78
2022-11-23T01:32:37.1984395Z [2022-11-23 01:16:34,014] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.1984749Z [2022-11-23 01:16:34,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.1984953Z [2022-11-23 01:16:34,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.1985192Z [2022-11-23 01:16:34,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.1985467Z [2022-11-23 01:16:34,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.1985826Z [2022-11-23 01:16:34,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.1986071Z [2022-11-23 01:16:34,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.1986304Z [2022-11-23 01:16:34,042] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.1986585Z [2022-11-23 01:16:34,043] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.1986832Z [2022-11-23 01:16:34,068] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.1987017Z [2022-11-23 01:16:34,068] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.1987137Z  __compiled_fn_80 <eval_with_key>.534 opcode, name, target, args, kwargs
2022-11-23T01:32:37.1987225Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.1987322Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.1987423Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.1987519Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.1987525Z 
2022-11-23T01:32:37.1987800Z [2022-11-23 01:16:34,069] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1987892Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.1987984Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1988064Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.1988153Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.1988231Z               8 RETURN_VALUE
2022-11-23T01:32:37.1988236Z 
2022-11-23T01:32:37.1988295Z  
2022-11-23T01:32:37.1988569Z [2022-11-23 01:16:34,069] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.1988677Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_80)
2022-11-23T01:32:37.1988769Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.1988846Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.1988921Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.1989008Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.1989096Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.1989170Z              12 RETURN_VALUE
2022-11-23T01:32:37.1989174Z 
2022-11-23T01:32:37.1989232Z  
2022-11-23T01:32:37.1989416Z [2022-11-23 01:16:34,070] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.1989473Z  - 
2022-11-23T01:32:37.1989589Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.1989653Z             {
2022-11-23T01:32:37.1989793Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.1989976Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.1990092Z                 'obj_weakref': None
2022-11-23T01:32:37.1990314Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.1990378Z             }
2022-11-23T01:32:37.1990429Z             
2022-11-23T01:32:37.1990496Z  - 
2022-11-23T01:32:37.1990618Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.1990680Z             {
2022-11-23T01:32:37.1990820Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.1990927Z                 'code': None,
2022-11-23T01:32:37.1991124Z                 'obj_weakref': <weakref at 0x7f7106bd14d0; to 'Tensor' at 0x7f7129e3e1d0>
2022-11-23T01:32:37.1991371Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.1991434Z             }
2022-11-23T01:32:37.1991496Z             
2022-11-23T01:32:37.1991563Z  - 
2022-11-23T01:32:37.1991680Z             local 'model' NN_MODULE
2022-11-23T01:32:37.1991743Z             {
2022-11-23T01:32:37.1991863Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.1992066Z                 'code': ['___check_obj_id(model, 140123411466896)'],
2022-11-23T01:32:37.1992281Z                 'obj_weakref': <weakref at 0x7f71ce00b050; to 'Sequential' at 0x7f71062a4a90>
2022-11-23T01:32:37.1992514Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.1992577Z             }
2022-11-23T01:32:37.1992639Z             
2022-11-23T01:32:37.1992706Z  - 
2022-11-23T01:32:37.1992857Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.1992907Z             {
2022-11-23T01:32:37.1993044Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.1993260Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.1993380Z                 'obj_weakref': None
2022-11-23T01:32:37.1993598Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.1993663Z             }
2022-11-23T01:32:37.1993729Z             
2022-11-23T01:32:37.1993785Z  - 
2022-11-23T01:32:37.1993932Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.1993996Z             {
2022-11-23T01:32:37.1994117Z                 'guard_types': None,
2022-11-23T01:32:37.1994225Z                 'code': None,
2022-11-23T01:32:37.1994342Z                 'obj_weakref': None
2022-11-23T01:32:37.1994449Z                 'guarded_class': None
2022-11-23T01:32:37.1994513Z             }
2022-11-23T01:32:37.1994578Z             
2022-11-23T01:32:37.1994647Z  - 
2022-11-23T01:32:37.1994791Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.1994856Z             {
2022-11-23T01:32:37.1994975Z                 'guard_types': None,
2022-11-23T01:32:37.1995067Z                 'code': None,
2022-11-23T01:32:37.1995183Z                 'obj_weakref': None
2022-11-23T01:32:37.1995305Z                 'guarded_class': None
2022-11-23T01:32:37.1995369Z             }
2022-11-23T01:32:37.1995433Z             
2022-11-23T01:32:37.1995695Z [2022-11-23 01:16:34,114] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 79
2022-11-23T01:32:37.1995700Z 
2022-11-23T01:32:37.1995705Z 
2022-11-23T01:32:37.1995798Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.1995868Z import torch
2022-11-23T01:32:37.1995925Z import random
2022-11-23T01:32:37.1996041Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.1996163Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.1996170Z 
2022-11-23T01:32:37.1996249Z aten = torch.ops.aten
2022-11-23T01:32:37.1996385Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.1996478Z async_compile = AsyncCompile()
2022-11-23T01:32:37.1996483Z 
2022-11-23T01:32:37.1996487Z 
2022-11-23T01:32:37.1996621Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.1996813Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.1996931Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.1997040Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.1997276Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.1997432Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.1997542Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.1997603Z {
2022-11-23T01:32:37.1997702Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.1997753Z     {
2022-11-23T01:32:37.1997831Z         #pragma omp for 
2022-11-23T01:32:37.1997914Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.1997978Z         {
2022-11-23T01:32:37.1998061Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T01:32:37.1998125Z             {
2022-11-23T01:32:37.1998278Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (108*i0));
2022-11-23T01:32:37.1998392Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.1998582Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.1998709Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.1998828Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.1998964Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.1999173Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.1999297Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.1999388Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.1999475Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.1999607Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.1999694Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.1999781Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.1999872Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.1999964Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2000072Z                 tmp14.store(in_out_ptr0 + (16*i1) + (108*i0));
2022-11-23T01:32:37.2000124Z             }
2022-11-23T01:32:37.2000216Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2000301Z             for(long i1=96; i1<108; i1+=1)
2022-11-23T01:32:37.2000366Z             {
2022-11-23T01:32:37.2000468Z                 auto tmp0 = in_out_ptr0[i1 + (108*i0)];
2022-11-23T01:32:37.2000554Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2000639Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2000713Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2000798Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2000927Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2001080Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2001165Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2001258Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2001342Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2001430Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2001513Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2001599Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2001688Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2001777Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2001872Z                 in_out_ptr0[i1 + (108*i0)] = tmp14;
2022-11-23T01:32:37.2001935Z             }
2022-11-23T01:32:37.2001985Z         }
2022-11-23T01:32:37.2002047Z     }
2022-11-23T01:32:37.2002106Z }
2022-11-23T01:32:37.2002183Z ''')
2022-11-23T01:32:37.2002190Z 
2022-11-23T01:32:37.2002194Z 
2022-11-23T01:32:37.2002283Z async_compile.wait(globals())
2022-11-23T01:32:37.2002356Z del async_compile
2022-11-23T01:32:37.2002361Z 
2022-11-23T01:32:37.2002431Z def call(args):
2022-11-23T01:32:37.2002544Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.2002605Z     args.clear()
2022-11-23T01:32:37.2002736Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1,), (0,), (2,), False, (0,), 1)
2022-11-23T01:32:37.2002841Z     assert_size_stride(buf0, (1, 32, 108), (3456, 108, 1))
2022-11-23T01:32:37.2002908Z     del arg0_1
2022-11-23T01:32:37.2002975Z     del arg6_1
2022-11-23T01:32:37.2003093Z     buf1 = as_strided(buf0, (1, 32, 108), (3456, 108, 1)); del buf0  # reuse
2022-11-23T01:32:37.2003305Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.2003360Z     del arg1_1
2022-11-23T01:32:37.2003425Z     del arg2_1
2022-11-23T01:32:37.2003489Z     del arg3_1
2022-11-23T01:32:37.2003552Z     del arg4_1
2022-11-23T01:32:37.2003622Z     return (buf1, )
2022-11-23T01:32:37.2003627Z 
2022-11-23T01:32:37.2003631Z 
2022-11-23T01:32:37.2003707Z if __name__ == "__main__":
2022-11-23T01:32:37.2003852Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2003961Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2004164Z     arg0_1 = rand_strided((32, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2004356Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2004546Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2004771Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2004958Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2005137Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2005343Z     arg6_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2005478Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.2005499Z 
2022-11-23T01:32:37.2005504Z 
2022-11-23T01:32:37.2005585Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2005654Z import torch
2022-11-23T01:32:37.2005722Z import random
2022-11-23T01:32:37.2005836Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2005956Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2005961Z 
2022-11-23T01:32:37.2006038Z aten = torch.ops.aten
2022-11-23T01:32:37.2006172Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2006251Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2006267Z 
2022-11-23T01:32:37.2006271Z 
2022-11-23T01:32:37.2006390Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2006591Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2006707Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2006809Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2006911Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2007011Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2007112Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2007159Z {
2022-11-23T01:32:37.2007254Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2007315Z     {
2022-11-23T01:32:37.2007390Z         #pragma omp for 
2022-11-23T01:32:37.2007474Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.2007536Z         {
2022-11-23T01:32:37.2007616Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T01:32:37.2007668Z             {
2022-11-23T01:32:37.2007813Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (108*i0));
2022-11-23T01:32:37.2007938Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2008057Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2008181Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2008301Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2008429Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2008632Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2008708Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2008792Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2008892Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2009025Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2009110Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2009196Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2009287Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2009376Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2009471Z                 tmp14.store(in_out_ptr0 + (16*i1) + (108*i0));
2022-11-23T01:32:37.2009567Z             }
2022-11-23T01:32:37.2009659Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2009744Z             for(long i1=96; i1<108; i1+=1)
2022-11-23T01:32:37.2009810Z             {
2022-11-23T01:32:37.2009911Z                 auto tmp0 = in_out_ptr0[i1 + (108*i0)];
2022-11-23T01:32:37.2009997Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2010069Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2010200Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2010292Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2010419Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2010572Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2010656Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2010751Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2010820Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2010918Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2011005Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2011091Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2011181Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2011270Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2011365Z                 in_out_ptr0[i1 + (108*i0)] = tmp14;
2022-11-23T01:32:37.2011416Z             }
2022-11-23T01:32:37.2011479Z         }
2022-11-23T01:32:37.2011543Z     }
2022-11-23T01:32:37.2011603Z }
2022-11-23T01:32:37.2011680Z ''')
2022-11-23T01:32:37.2011685Z 
2022-11-23T01:32:37.2011690Z 
2022-11-23T01:32:37.2011778Z async_compile.wait(globals())
2022-11-23T01:32:37.2011849Z del async_compile
2022-11-23T01:32:37.2011854Z 
2022-11-23T01:32:37.2011912Z def call(args):
2022-11-23T01:32:37.2012022Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.2012091Z     args.clear()
2022-11-23T01:32:37.2012222Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1,), (0,), (2,), False, (0,), 4)
2022-11-23T01:32:37.2012331Z     assert_size_stride(buf0, (1, 128, 108), (13824, 108, 1))
2022-11-23T01:32:37.2012396Z     del arg0_1
2022-11-23T01:32:37.2012461Z     del arg6_1
2022-11-23T01:32:37.2012567Z     buf1 = as_strided(buf0, (1, 128, 108), (13824, 108, 1)); del buf0  # reuse
2022-11-23T01:32:37.2012781Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.2012848Z     del arg1_1
2022-11-23T01:32:37.2012913Z     del arg2_1
2022-11-23T01:32:37.2012976Z     del arg3_1
2022-11-23T01:32:37.2013041Z     del arg4_1
2022-11-23T01:32:37.2013111Z     return (buf1, )
2022-11-23T01:32:37.2013117Z 
2022-11-23T01:32:37.2013121Z 
2022-11-23T01:32:37.2013195Z if __name__ == "__main__":
2022-11-23T01:32:37.2013295Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2013415Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2013623Z     arg0_1 = rand_strided((128, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2013817Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2014008Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2014196Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2014387Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2014563Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2014759Z     arg6_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2014906Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.2015272Z [2022-11-23 01:16:34,142] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2x/c2xvn3xmulpzou4zkn5yib2kb6i63wwlquwnd3o6lmqgduwxir3k.py
2022-11-23T01:32:37.2015570Z [2022-11-23 01:16:34,142] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 79
2022-11-23T01:32:37.2015807Z [2022-11-23 01:16:34,194] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2016072Z [2022-11-23 01:16:34,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2016315Z [2022-11-23 01:16:34,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2016558Z [2022-11-23 01:16:34,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2016829Z [2022-11-23 01:16:34,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2017131Z [2022-11-23 01:16:34,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2017377Z [2022-11-23 01:16:34,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2017608Z [2022-11-23 01:16:34,229] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2017860Z [2022-11-23 01:16:34,230] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2018108Z [2022-11-23 01:16:34,260] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2018294Z [2022-11-23 01:16:34,260] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2018427Z  __compiled_fn_81 <eval_with_key>.540 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2018517Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2018615Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2018706Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2018806Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2018811Z 
2022-11-23T01:32:37.2019085Z [2022-11-23 01:16:34,261] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2019178Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2019268Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2019358Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2019452Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2019515Z               8 RETURN_VALUE
2022-11-23T01:32:37.2019532Z 
2022-11-23T01:32:37.2019580Z  
2022-11-23T01:32:37.2019850Z [2022-11-23 01:16:34,261] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2019957Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_81)
2022-11-23T01:32:37.2020046Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2020137Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2020213Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2020301Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2020379Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2020452Z              12 RETURN_VALUE
2022-11-23T01:32:37.2020457Z 
2022-11-23T01:32:37.2020517Z  
2022-11-23T01:32:37.2020697Z [2022-11-23 01:16:34,262] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2020764Z  - 
2022-11-23T01:32:37.2020885Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2020949Z             {
2022-11-23T01:32:37.2021076Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2021260Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2021377Z                 'obj_weakref': None
2022-11-23T01:32:37.2021599Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2021663Z             }
2022-11-23T01:32:37.2021761Z             
2022-11-23T01:32:37.2021828Z  - 
2022-11-23T01:32:37.2021940Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2022001Z             {
2022-11-23T01:32:37.2022143Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2022248Z                 'code': None,
2022-11-23T01:32:37.2022457Z                 'obj_weakref': <weakref at 0x7f710cd87a70; to 'Tensor' at 0x7f71c221a950>
2022-11-23T01:32:37.2022733Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2022797Z             }
2022-11-23T01:32:37.2022849Z             
2022-11-23T01:32:37.2022916Z  - 
2022-11-23T01:32:37.2023034Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2023096Z             {
2022-11-23T01:32:37.2023229Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2023397Z                 'code': ['___check_obj_id(model, 140123423366736)'],
2022-11-23T01:32:37.2023612Z                 'obj_weakref': <weakref at 0x7f71c13584d0; to 'Sequential' at 0x7f7106dfde50>
2022-11-23T01:32:37.2023829Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2023891Z             }
2022-11-23T01:32:37.2023953Z             
2022-11-23T01:32:37.2024020Z  - 
2022-11-23T01:32:37.2024142Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2024204Z             {
2022-11-23T01:32:37.2024343Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2024643Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2024765Z                 'obj_weakref': None
2022-11-23T01:32:37.2024983Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2025047Z             }
2022-11-23T01:32:37.2025110Z             
2022-11-23T01:32:37.2025177Z  - 
2022-11-23T01:32:37.2025321Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2025374Z             {
2022-11-23T01:32:37.2025493Z                 'guard_types': None,
2022-11-23T01:32:37.2025599Z                 'code': None,
2022-11-23T01:32:37.2025715Z                 'obj_weakref': None
2022-11-23T01:32:37.2025838Z                 'guarded_class': None
2022-11-23T01:32:37.2025901Z             }
2022-11-23T01:32:37.2025963Z             
2022-11-23T01:32:37.2026018Z  - 
2022-11-23T01:32:37.2026163Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2026226Z             {
2022-11-23T01:32:37.2026344Z                 'guard_types': None,
2022-11-23T01:32:37.2026450Z                 'code': None,
2022-11-23T01:32:37.2026565Z                 'obj_weakref': None
2022-11-23T01:32:37.2026689Z                 'guarded_class': None
2022-11-23T01:32:37.2026740Z             }
2022-11-23T01:32:37.2026803Z             
2022-11-23T01:32:37.2027062Z [2022-11-23 01:16:34,313] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 80
2022-11-23T01:32:37.2027436Z [2022-11-23 01:16:36,863] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d2/cd2kdbd6m6gbbxtzl42sdpfavkmtdkx3zpqwmrlbkxces46zhgjx.py
2022-11-23T01:32:37.2027700Z [2022-11-23 01:16:36,864] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 80
2022-11-23T01:32:37.2027937Z [2022-11-23 01:16:36,995] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2028206Z [2022-11-23 01:16:36,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2028424Z [2022-11-23 01:16:36,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2028652Z [2022-11-23 01:16:36,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2028929Z [2022-11-23 01:16:36,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2029294Z [2022-11-23 01:16:36,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2029543Z [2022-11-23 01:16:37,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2029777Z [2022-11-23 01:16:37,033] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2030079Z [2022-11-23 01:16:37,034] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2030327Z [2022-11-23 01:16:37,064] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2030517Z [2022-11-23 01:16:37,064] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2030652Z  __compiled_fn_82 <eval_with_key>.546 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2030730Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2030832Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2030936Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2031036Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2031041Z 
2022-11-23T01:32:37.2031318Z [2022-11-23 01:16:37,065] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2031413Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2031507Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2031602Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2031679Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2031757Z               8 RETURN_VALUE
2022-11-23T01:32:37.2031763Z 
2022-11-23T01:32:37.2031825Z  
2022-11-23T01:32:37.2032099Z [2022-11-23 01:16:37,065] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2032209Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_82)
2022-11-23T01:32:37.2032301Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2032391Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2032455Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2032545Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2032635Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2032711Z              12 RETURN_VALUE
2022-11-23T01:32:37.2032715Z 
2022-11-23T01:32:37.2032779Z  
2022-11-23T01:32:37.2032962Z [2022-11-23 01:16:37,066] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2033034Z  - 
2022-11-23T01:32:37.2033139Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2033204Z             {
2022-11-23T01:32:37.2033346Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2033532Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2033655Z                 'obj_weakref': None
2022-11-23T01:32:37.2033882Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2033947Z             }
2022-11-23T01:32:37.2034013Z             
2022-11-23T01:32:37.2034069Z  - 
2022-11-23T01:32:37.2034190Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2034255Z             {
2022-11-23T01:32:37.2034399Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2034507Z                 'code': None,
2022-11-23T01:32:37.2034718Z                 'obj_weakref': <weakref at 0x7f7106e19dd0; to 'Tensor' at 0x7f7129e913b0>
2022-11-23T01:32:37.2034964Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2035015Z             }
2022-11-23T01:32:37.2035079Z             
2022-11-23T01:32:37.2035148Z  - 
2022-11-23T01:32:37.2035265Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2035328Z             {
2022-11-23T01:32:37.2035460Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2035653Z                 'code': ['___check_obj_id(model, 140123423366736)'],
2022-11-23T01:32:37.2035867Z                 'obj_weakref': <weakref at 0x7f71c13584d0; to 'Sequential' at 0x7f7106dfde50>
2022-11-23T01:32:37.2036097Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2036159Z             }
2022-11-23T01:32:37.2036222Z             
2022-11-23T01:32:37.2036289Z  - 
2022-11-23T01:32:37.2036438Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2036501Z             {
2022-11-23T01:32:37.2036625Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2036841Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2036957Z                 'obj_weakref': None
2022-11-23T01:32:37.2037292Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2037358Z             }
2022-11-23T01:32:37.2037420Z             
2022-11-23T01:32:37.2037489Z  - 
2022-11-23T01:32:37.2037621Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2037684Z             {
2022-11-23T01:32:37.2037803Z                 'guard_types': None,
2022-11-23T01:32:37.2037908Z                 'code': None,
2022-11-23T01:32:37.2038023Z                 'obj_weakref': None
2022-11-23T01:32:37.2038144Z                 'guarded_class': None
2022-11-23T01:32:37.2038194Z             }
2022-11-23T01:32:37.2038258Z             
2022-11-23T01:32:37.2038326Z  - 
2022-11-23T01:32:37.2038470Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2038532Z             {
2022-11-23T01:32:37.2038648Z                 'guard_types': None,
2022-11-23T01:32:37.2038754Z                 'code': None,
2022-11-23T01:32:37.2038857Z                 'obj_weakref': None
2022-11-23T01:32:37.2038975Z                 'guarded_class': None
2022-11-23T01:32:37.2039042Z             }
2022-11-23T01:32:37.2039105Z             
2022-11-23T01:32:37.2039362Z [2022-11-23 01:16:37,116] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 81
2022-11-23T01:32:37.2039368Z 
2022-11-23T01:32:37.2039373Z 
2022-11-23T01:32:37.2039464Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2039532Z import torch
2022-11-23T01:32:37.2039600Z import random
2022-11-23T01:32:37.2039703Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2039825Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2039830Z 
2022-11-23T01:32:37.2039909Z aten = torch.ops.aten
2022-11-23T01:32:37.2040044Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2040135Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2040140Z 
2022-11-23T01:32:37.2040145Z 
2022-11-23T01:32:37.2040276Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2040480Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2040597Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2040690Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2040793Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2040894Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2040992Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2041052Z {
2022-11-23T01:32:37.2041150Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2041211Z     {
2022-11-23T01:32:37.2041274Z         #pragma omp for 
2022-11-23T01:32:37.2041354Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.2041416Z         {
2022-11-23T01:32:37.2041501Z             for(long i1=0; i1<784; i1+=1)
2022-11-23T01:32:37.2041562Z             {
2022-11-23T01:32:37.2041713Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (12544*i0));
2022-11-23T01:32:37.2041838Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2042001Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2042124Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2042242Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2042375Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2042613Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2042701Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2042787Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2042887Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2043007Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2043092Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2043180Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2043271Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2043363Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2043472Z                 tmp14.store(in_out_ptr0 + (16*i1) + (12544*i0));
2022-11-23T01:32:37.2043537Z             }
2022-11-23T01:32:37.2043616Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2043706Z             for(long i1=12544; i1<12544; i1+=1)
2022-11-23T01:32:37.2043768Z             {
2022-11-23T01:32:37.2043872Z                 auto tmp0 = in_out_ptr0[i1 + (12544*i0)];
2022-11-23T01:32:37.2043958Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2044042Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2044128Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2044202Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2044329Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2044482Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2044567Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2044664Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2044744Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2044841Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2044925Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2044998Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2045087Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2045174Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2045272Z                 in_out_ptr0[i1 + (12544*i0)] = tmp14;
2022-11-23T01:32:37.2045335Z             }
2022-11-23T01:32:37.2045398Z         }
2022-11-23T01:32:37.2045448Z     }
2022-11-23T01:32:37.2045507Z }
2022-11-23T01:32:37.2045583Z ''')
2022-11-23T01:32:37.2045588Z 
2022-11-23T01:32:37.2045593Z 
2022-11-23T01:32:37.2045680Z async_compile.wait(globals())
2022-11-23T01:32:37.2045751Z del async_compile
2022-11-23T01:32:37.2045756Z 
2022-11-23T01:32:37.2045827Z def call(args):
2022-11-23T01:32:37.2045946Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.2046018Z     args.clear()
2022-11-23T01:32:37.2046140Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:37.2046251Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 12544, 112, 1))
2022-11-23T01:32:37.2046317Z     del arg0_1
2022-11-23T01:32:37.2046383Z     del arg1_1
2022-11-23T01:32:37.2046447Z     del arg7_1
2022-11-23T01:32:37.2046570Z     buf1 = as_strided(buf0, (1, 32, 112, 112), (401408, 12544, 112, 1)); del buf0  # reuse
2022-11-23T01:32:37.2046783Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.2046837Z     del arg2_1
2022-11-23T01:32:37.2046900Z     del arg3_1
2022-11-23T01:32:37.2046965Z     del arg4_1
2022-11-23T01:32:37.2047029Z     del arg5_1
2022-11-23T01:32:37.2047099Z     return (buf1, )
2022-11-23T01:32:37.2047140Z 
2022-11-23T01:32:37.2047144Z 
2022-11-23T01:32:37.2047220Z if __name__ == "__main__":
2022-11-23T01:32:37.2047333Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2047456Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2047656Z     arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2047850Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2048072Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2048260Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2048447Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2048632Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2048808Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2049033Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2049176Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.2049181Z 
2022-11-23T01:32:37.2049197Z 
2022-11-23T01:32:37.2049279Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2049347Z import torch
2022-11-23T01:32:37.2049416Z import random
2022-11-23T01:32:37.2049532Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2049652Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2049657Z 
2022-11-23T01:32:37.2049734Z aten = torch.ops.aten
2022-11-23T01:32:37.2049866Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2049946Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2049950Z 
2022-11-23T01:32:37.2049954Z 
2022-11-23T01:32:37.2050086Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2050292Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2050407Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2050510Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2050613Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2050715Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2050820Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2050869Z {
2022-11-23T01:32:37.2050965Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2051026Z     {
2022-11-23T01:32:37.2051102Z         #pragma omp for 
2022-11-23T01:32:37.2051183Z         for(long i0=0; i0<12544; i0+=1)
2022-11-23T01:32:37.2051245Z         {
2022-11-23T01:32:37.2051315Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:37.2051378Z             {
2022-11-23T01:32:37.2051521Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (32*i0));
2022-11-23T01:32:37.2051658Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i1);
2022-11-23T01:32:37.2051790Z                 auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i1);
2022-11-23T01:32:37.2051924Z                 auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr2 + 16*i1);
2022-11-23T01:32:37.2052055Z                 auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr3 + 16*i1);
2022-11-23T01:32:37.2052186Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2052388Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2052463Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2052549Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2052649Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2052780Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2052866Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2052990Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2053080Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2053158Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2053264Z                 tmp14.store(in_out_ptr0 + (16*i1) + (32*i0));
2022-11-23T01:32:37.2053327Z             }
2022-11-23T01:32:37.2053418Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2053549Z             for(long i1=32; i1<32; i1+=1)
2022-11-23T01:32:37.2053613Z             {
2022-11-23T01:32:37.2053714Z                 auto tmp0 = in_out_ptr0[i1 + (32*i0)];
2022-11-23T01:32:37.2053786Z                 auto tmp1 = in_ptr0[i1];
2022-11-23T01:32:37.2053868Z                 auto tmp3 = in_ptr1[i1];
2022-11-23T01:32:37.2053955Z                 auto tmp11 = in_ptr2[i1];
2022-11-23T01:32:37.2054040Z                 auto tmp13 = in_ptr3[i1];
2022-11-23T01:32:37.2054167Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2054322Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2054406Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2054500Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2054568Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2054665Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2054751Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2054837Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2054929Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2055018Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2055111Z                 in_out_ptr0[i1 + (32*i0)] = tmp14;
2022-11-23T01:32:37.2055163Z             }
2022-11-23T01:32:37.2055225Z         }
2022-11-23T01:32:37.2055287Z     }
2022-11-23T01:32:37.2055347Z }
2022-11-23T01:32:37.2055423Z ''')
2022-11-23T01:32:37.2055428Z 
2022-11-23T01:32:37.2055432Z 
2022-11-23T01:32:37.2055520Z async_compile.wait(globals())
2022-11-23T01:32:37.2055594Z del async_compile
2022-11-23T01:32:37.2055598Z 
2022-11-23T01:32:37.2055656Z def call(args):
2022-11-23T01:32:37.2055773Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.2055843Z     args.clear()
2022-11-23T01:32:37.2055978Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:37.2056090Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32))
2022-11-23T01:32:37.2056158Z     del arg0_1
2022-11-23T01:32:37.2056223Z     del arg1_1
2022-11-23T01:32:37.2056276Z     del arg7_1
2022-11-23T01:32:37.2056396Z     buf1 = as_strided(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32)); del buf0  # reuse
2022-11-23T01:32:37.2056610Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.2056677Z     del arg2_1
2022-11-23T01:32:37.2056742Z     del arg3_1
2022-11-23T01:32:37.2056810Z     del arg4_1
2022-11-23T01:32:37.2056874Z     del arg5_1
2022-11-23T01:32:37.2056931Z     return (buf1, )
2022-11-23T01:32:37.2056936Z 
2022-11-23T01:32:37.2056952Z 
2022-11-23T01:32:37.2057014Z if __name__ == "__main__":
2022-11-23T01:32:37.2057127Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2057248Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2057460Z     arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2057653Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2057843Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2058029Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2058201Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2058383Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2058592Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2058810Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2058964Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.2059358Z [2022-11-23 01:16:39,655] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5i/c5iomldspd23557ghwhop3yl2k56qrr6hzoqxz5b7btvdla64wcb.py
2022-11-23T01:32:37.2059622Z [2022-11-23 01:16:39,656] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 81
2022-11-23T01:32:37.2059857Z [2022-11-23 01:16:39,836] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2060122Z [2022-11-23 01:16:39,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2060331Z [2022-11-23 01:16:39,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2060572Z [2022-11-23 01:16:39,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2060847Z [2022-11-23 01:16:39,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2061164Z [2022-11-23 01:16:39,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2061408Z [2022-11-23 01:16:39,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2061640Z [2022-11-23 01:16:39,871] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2061890Z [2022-11-23 01:16:39,872] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2062135Z [2022-11-23 01:16:39,902] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2062323Z [2022-11-23 01:16:39,902] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2062444Z  __compiled_fn_83 <eval_with_key>.552 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2062532Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2062630Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2062734Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2062840Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2062845Z 
2022-11-23T01:32:37.2063121Z [2022-11-23 01:16:39,903] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2063216Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2063308Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2063388Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2063484Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2063560Z               8 RETURN_VALUE
2022-11-23T01:32:37.2063565Z 
2022-11-23T01:32:37.2063627Z  
2022-11-23T01:32:37.2063904Z [2022-11-23 01:16:39,903] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2064012Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_83)
2022-11-23T01:32:37.2064101Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2064199Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2064263Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2064353Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2064527Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2064605Z              12 RETURN_VALUE
2022-11-23T01:32:37.2064610Z 
2022-11-23T01:32:37.2064674Z  
2022-11-23T01:32:37.2064858Z [2022-11-23 01:16:39,904] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2064928Z  - 
2022-11-23T01:32:37.2065075Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2065141Z             {
2022-11-23T01:32:37.2065283Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2065470Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2065591Z                 'obj_weakref': None
2022-11-23T01:32:37.2065816Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2065909Z             }
2022-11-23T01:32:37.2065960Z             
2022-11-23T01:32:37.2066030Z  - 
2022-11-23T01:32:37.2066154Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2066218Z             {
2022-11-23T01:32:37.2066362Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2066471Z                 'code': None,
2022-11-23T01:32:37.2066679Z                 'obj_weakref': <weakref at 0x7f7106e19d70; to 'Tensor' at 0x7f71066d8f50>
2022-11-23T01:32:37.2066914Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2066981Z             }
2022-11-23T01:32:37.2067046Z             
2022-11-23T01:32:37.2067117Z  - 
2022-11-23T01:32:37.2067237Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2067302Z             {
2022-11-23T01:32:37.2067439Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2067594Z                 'code': ['___check_obj_id(model, 140123419266576)'],
2022-11-23T01:32:37.2067811Z                 'obj_weakref': <weakref at 0x7f71188f0950; to 'Sequential' at 0x7f7106a14e10>
2022-11-23T01:32:37.2068040Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2068106Z             }
2022-11-23T01:32:37.2068170Z             
2022-11-23T01:32:37.2068240Z  - 
2022-11-23T01:32:37.2068362Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2068412Z             {
2022-11-23T01:32:37.2068548Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2068770Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2068890Z                 'obj_weakref': None
2022-11-23T01:32:37.2069109Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2069175Z             }
2022-11-23T01:32:37.2069241Z             
2022-11-23T01:32:37.2069297Z  - 
2022-11-23T01:32:37.2069444Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2069507Z             {
2022-11-23T01:32:37.2069624Z                 'guard_types': None,
2022-11-23T01:32:37.2069729Z                 'code': None,
2022-11-23T01:32:37.2069846Z                 'obj_weakref': None
2022-11-23T01:32:37.2069965Z                 'guarded_class': None
2022-11-23T01:32:37.2070015Z             }
2022-11-23T01:32:37.2070075Z             
2022-11-23T01:32:37.2070142Z  - 
2022-11-23T01:32:37.2070286Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2070351Z             {
2022-11-23T01:32:37.2070468Z                 'guard_types': None,
2022-11-23T01:32:37.2070560Z                 'code': None,
2022-11-23T01:32:37.2070674Z                 'obj_weakref': None
2022-11-23T01:32:37.2070792Z                 'guarded_class': None
2022-11-23T01:32:37.2070854Z             }
2022-11-23T01:32:37.2070916Z             
2022-11-23T01:32:37.2071176Z [2022-11-23 01:16:39,954] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 82
2022-11-23T01:32:37.2071546Z [2022-11-23 01:16:42,524] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/af/cafzhm3emvi7lxrtgcj4jf6cmlpjn7rymka7l2hcqoi2jjaeotlk.py
2022-11-23T01:32:37.2071809Z [2022-11-23 01:16:42,525] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 82
2022-11-23T01:32:37.2072032Z [2022-11-23 01:16:43,053] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2072296Z [2022-11-23 01:16:43,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2072549Z [2022-11-23 01:16:43,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2072789Z [2022-11-23 01:16:43,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2073091Z [2022-11-23 01:16:43,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2073406Z [2022-11-23 01:16:43,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2073652Z [2022-11-23 01:16:43,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2073883Z [2022-11-23 01:16:43,094] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2074136Z [2022-11-23 01:16:43,096] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2074386Z [2022-11-23 01:16:43,126] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2074559Z [2022-11-23 01:16:43,126] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2074690Z  __compiled_fn_84 <eval_with_key>.558 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2074779Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2074879Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2074981Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2075078Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2075083Z 
2022-11-23T01:32:37.2075358Z [2022-11-23 01:16:43,127] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2075452Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2075530Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2075624Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2075713Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2075790Z               8 RETURN_VALUE
2022-11-23T01:32:37.2075795Z 
2022-11-23T01:32:37.2075854Z  
2022-11-23T01:32:37.2076126Z [2022-11-23 01:16:43,127] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2076235Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_84)
2022-11-23T01:32:37.2076312Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2076400Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2076478Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2076565Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2076655Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2076775Z              12 RETURN_VALUE
2022-11-23T01:32:37.2076780Z 
2022-11-23T01:32:37.2076845Z  
2022-11-23T01:32:37.2077014Z [2022-11-23 01:16:43,128] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2077081Z  - 
2022-11-23T01:32:37.2077420Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2077493Z             {
2022-11-23T01:32:37.2077636Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2077821Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2077944Z                 'obj_weakref': None
2022-11-23T01:32:37.2078170Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2078222Z             }
2022-11-23T01:32:37.2078285Z             
2022-11-23T01:32:37.2078352Z  - 
2022-11-23T01:32:37.2078474Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2078538Z             {
2022-11-23T01:32:37.2078680Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2078774Z                 'code': None,
2022-11-23T01:32:37.2078981Z                 'obj_weakref': <weakref at 0x7f710cd9c7d0; to 'Tensor' at 0x7f7129f5a050>
2022-11-23T01:32:37.2079299Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2079363Z             }
2022-11-23T01:32:37.2079426Z             
2022-11-23T01:32:37.2079496Z  - 
2022-11-23T01:32:37.2079615Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2079666Z             {
2022-11-23T01:32:37.2079836Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2080008Z                 'code': ['___check_obj_id(model, 140123419266576)'],
2022-11-23T01:32:37.2080222Z                 'obj_weakref': <weakref at 0x7f71188f0950; to 'Sequential' at 0x7f7106a14e10>
2022-11-23T01:32:37.2080457Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2080521Z             }
2022-11-23T01:32:37.2080583Z             
2022-11-23T01:32:37.2080650Z  - 
2022-11-23T01:32:37.2080761Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2080824Z             {
2022-11-23T01:32:37.2080959Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2081176Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2081293Z                 'obj_weakref': None
2022-11-23T01:32:37.2081510Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2081575Z             }
2022-11-23T01:32:37.2081625Z             
2022-11-23T01:32:37.2081693Z  - 
2022-11-23T01:32:37.2081838Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2081900Z             {
2022-11-23T01:32:37.2082018Z                 'guard_types': None,
2022-11-23T01:32:37.2082123Z                 'code': None,
2022-11-23T01:32:37.2082228Z                 'obj_weakref': None
2022-11-23T01:32:37.2082346Z                 'guarded_class': None
2022-11-23T01:32:37.2082407Z             }
2022-11-23T01:32:37.2082472Z             
2022-11-23T01:32:37.2082539Z  - 
2022-11-23T01:32:37.2082685Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2082745Z             {
2022-11-23T01:32:37.2082850Z                 'guard_types': None,
2022-11-23T01:32:37.2082953Z                 'code': None,
2022-11-23T01:32:37.2083067Z                 'obj_weakref': None
2022-11-23T01:32:37.2083185Z                 'guarded_class': None
2022-11-23T01:32:37.2083247Z             }
2022-11-23T01:32:37.2083312Z             
2022-11-23T01:32:37.2083569Z [2022-11-23 01:16:43,178] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 83
2022-11-23T01:32:37.2083575Z 
2022-11-23T01:32:37.2083579Z 
2022-11-23T01:32:37.2083671Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2083726Z import torch
2022-11-23T01:32:37.2083794Z import random
2022-11-23T01:32:37.2083908Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2084029Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2084037Z 
2022-11-23T01:32:37.2084114Z aten = torch.ops.aten
2022-11-23T01:32:37.2084246Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2084339Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2084344Z 
2022-11-23T01:32:37.2084348Z 
2022-11-23T01:32:37.2084468Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2084674Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2084791Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2084896Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2084999Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2085099Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2085199Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2085259Z {
2022-11-23T01:32:37.2085344Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2085438Z     {
2022-11-23T01:32:37.2085516Z         #pragma omp for 
2022-11-23T01:32:37.2085597Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.2085659Z         {
2022-11-23T01:32:37.2085743Z             for(long i1=0; i1<784; i1+=1)
2022-11-23T01:32:37.2085794Z             {
2022-11-23T01:32:37.2085946Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (12544*i0));
2022-11-23T01:32:37.2086097Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2086219Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2086342Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2086464Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2086596Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2086800Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2086890Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2086964Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2087062Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2087195Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2087280Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2087368Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2087461Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2087550Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2087646Z                 tmp14.store(in_out_ptr0 + (16*i1) + (12544*i0));
2022-11-23T01:32:37.2087709Z             }
2022-11-23T01:32:37.2087801Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2087890Z             for(long i1=12544; i1<12544; i1+=1)
2022-11-23T01:32:37.2087954Z             {
2022-11-23T01:32:37.2088055Z                 auto tmp0 = in_out_ptr0[i1 + (12544*i0)];
2022-11-23T01:32:37.2088141Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2088213Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2088298Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2088383Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2088508Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2088664Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2088752Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2088848Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2088918Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2089015Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2089099Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2089187Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2089276Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2089363Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2089459Z                 in_out_ptr0[i1 + (12544*i0)] = tmp14;
2022-11-23T01:32:37.2089510Z             }
2022-11-23T01:32:37.2089572Z         }
2022-11-23T01:32:37.2089632Z     }
2022-11-23T01:32:37.2089691Z }
2022-11-23T01:32:37.2089766Z ''')
2022-11-23T01:32:37.2089771Z 
2022-11-23T01:32:37.2089775Z 
2022-11-23T01:32:37.2089862Z async_compile.wait(globals())
2022-11-23T01:32:37.2089933Z del async_compile
2022-11-23T01:32:37.2089938Z 
2022-11-23T01:32:37.2090006Z def call(args):
2022-11-23T01:32:37.2090115Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.2090185Z     args.clear()
2022-11-23T01:32:37.2090319Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4)
2022-11-23T01:32:37.2090432Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 12544, 112, 1))
2022-11-23T01:32:37.2090500Z     del arg0_1
2022-11-23T01:32:37.2090565Z     del arg1_1
2022-11-23T01:32:37.2090628Z     del arg7_1
2022-11-23T01:32:37.2090773Z     buf1 = as_strided(buf0, (1, 128, 112, 112), (1605632, 12544, 112, 1)); del buf0  # reuse
2022-11-23T01:32:37.2090985Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.2091050Z     del arg2_1
2022-11-23T01:32:37.2091116Z     del arg3_1
2022-11-23T01:32:37.2091182Z     del arg4_1
2022-11-23T01:32:37.2091246Z     del arg5_1
2022-11-23T01:32:37.2091344Z     return (buf1, )
2022-11-23T01:32:37.2091350Z 
2022-11-23T01:32:37.2091354Z 
2022-11-23T01:32:37.2091430Z if __name__ == "__main__":
2022-11-23T01:32:37.2091532Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2091654Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2091865Z     arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2092060Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2092251Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2092439Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2092627Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2092804Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2092984Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2093211Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2093366Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.2093371Z 
2022-11-23T01:32:37.2093376Z 
2022-11-23T01:32:37.2093468Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2093536Z import torch
2022-11-23T01:32:37.2093606Z import random
2022-11-23T01:32:37.2093724Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2093832Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2093849Z 
2022-11-23T01:32:37.2093913Z aten = torch.ops.aten
2022-11-23T01:32:37.2094049Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2094139Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2094144Z 
2022-11-23T01:32:37.2094148Z 
2022-11-23T01:32:37.2094282Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2094489Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2094603Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2094707Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2094809Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2094895Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2094998Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2095060Z {
2022-11-23T01:32:37.2095156Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2095216Z     {
2022-11-23T01:32:37.2095292Z         #pragma omp for 
2022-11-23T01:32:37.2095374Z         for(long i0=0; i0<12544; i0+=1)
2022-11-23T01:32:37.2095425Z         {
2022-11-23T01:32:37.2095506Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:37.2095569Z             {
2022-11-23T01:32:37.2095717Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (128*i0));
2022-11-23T01:32:37.2095849Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i1);
2022-11-23T01:32:37.2095981Z                 auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i1);
2022-11-23T01:32:37.2096114Z                 auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr2 + 16*i1);
2022-11-23T01:32:37.2096246Z                 auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr3 + 16*i1);
2022-11-23T01:32:37.2096401Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2096605Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2096692Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2096779Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2096878Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2097012Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2097140Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2097217Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2097307Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2097397Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2097503Z                 tmp14.store(in_out_ptr0 + (16*i1) + (128*i0));
2022-11-23T01:32:37.2097569Z             }
2022-11-23T01:32:37.2097662Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2097753Z             for(long i1=128; i1<128; i1+=1)
2022-11-23T01:32:37.2097807Z             {
2022-11-23T01:32:37.2097908Z                 auto tmp0 = in_out_ptr0[i1 + (128*i0)];
2022-11-23T01:32:37.2097996Z                 auto tmp1 = in_ptr0[i1];
2022-11-23T01:32:37.2098083Z                 auto tmp3 = in_ptr1[i1];
2022-11-23T01:32:37.2098170Z                 auto tmp11 = in_ptr2[i1];
2022-11-23T01:32:37.2098257Z                 auto tmp13 = in_ptr3[i1];
2022-11-23T01:32:37.2098390Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2098535Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2098622Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2098719Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2098802Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2098902Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2098990Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2099078Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2099170Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2099246Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2099342Z                 in_out_ptr0[i1 + (128*i0)] = tmp14;
2022-11-23T01:32:37.2099407Z             }
2022-11-23T01:32:37.2099472Z         }
2022-11-23T01:32:37.2099538Z     }
2022-11-23T01:32:37.2099599Z }
2022-11-23T01:32:37.2099666Z ''')
2022-11-23T01:32:37.2099670Z 
2022-11-23T01:32:37.2099689Z 
2022-11-23T01:32:37.2099768Z async_compile.wait(globals())
2022-11-23T01:32:37.2099840Z del async_compile
2022-11-23T01:32:37.2099845Z 
2022-11-23T01:32:37.2099916Z def call(args):
2022-11-23T01:32:37.2100037Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.2100110Z     args.clear()
2022-11-23T01:32:37.2100245Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4)
2022-11-23T01:32:37.2100359Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128))
2022-11-23T01:32:37.2100417Z     del arg0_1
2022-11-23T01:32:37.2100483Z     del arg1_1
2022-11-23T01:32:37.2100550Z     del arg7_1
2022-11-23T01:32:37.2100673Z     buf1 = as_strided(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128)); del buf0  # reuse
2022-11-23T01:32:37.2100886Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.2100953Z     del arg2_1
2022-11-23T01:32:37.2101025Z     del arg3_1
2022-11-23T01:32:37.2101080Z     del arg4_1
2022-11-23T01:32:37.2101146Z     del arg5_1
2022-11-23T01:32:37.2101217Z     return (buf1, )
2022-11-23T01:32:37.2101222Z 
2022-11-23T01:32:37.2101226Z 
2022-11-23T01:32:37.2101305Z if __name__ == "__main__":
2022-11-23T01:32:37.2101420Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2101543Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2101760Z     arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2101990Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2102171Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2102362Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2102553Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2102777Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2102957Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2103183Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2103339Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.2103716Z [2022-11-23 01:16:45,753] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pv/cpvbdjnrnb6l4p7mh7nw2wkikcpmhfebz2svbdw3np7owo3tdndv.py
2022-11-23T01:32:37.2103981Z [2022-11-23 01:16:45,753] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 83
2022-11-23T01:32:37.2104207Z [2022-11-23 01:16:46,226] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2104549Z [2022-11-23 01:16:46,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2104769Z [2022-11-23 01:16:46,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2105012Z [2022-11-23 01:16:46,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2105284Z [2022-11-23 01:16:46,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2105601Z [2022-11-23 01:16:46,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2105851Z [2022-11-23 01:16:46,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2106085Z [2022-11-23 01:16:46,266] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2106336Z [2022-11-23 01:16:46,267] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2106572Z [2022-11-23 01:16:46,297] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2106758Z [2022-11-23 01:16:46,298] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2106890Z  __compiled_fn_85 <eval_with_key>.564 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2106980Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2107080Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2107181Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2107281Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2107286Z 
2022-11-23T01:32:37.2107563Z [2022-11-23 01:16:46,298] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2107644Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2107736Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2107833Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2107923Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2107999Z               8 RETURN_VALUE
2022-11-23T01:32:37.2108004Z 
2022-11-23T01:32:37.2108065Z  
2022-11-23T01:32:37.2108340Z [2022-11-23 01:16:46,299] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2108445Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_85)
2022-11-23T01:32:37.2108522Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2108647Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2108722Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2108810Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2108898Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2108972Z              12 RETURN_VALUE
2022-11-23T01:32:37.2108977Z 
2022-11-23T01:32:37.2109035Z  
2022-11-23T01:32:37.2109232Z [2022-11-23 01:16:46,300] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2109301Z  - 
2022-11-23T01:32:37.2109420Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2109483Z             {
2022-11-23T01:32:37.2109623Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2109807Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2109926Z                 'obj_weakref': None
2022-11-23T01:32:37.2110136Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2110201Z             }
2022-11-23T01:32:37.2110263Z             
2022-11-23T01:32:37.2110331Z  - 
2022-11-23T01:32:37.2110453Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2110515Z             {
2022-11-23T01:32:37.2110657Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2110749Z                 'code': None,
2022-11-23T01:32:37.2110956Z                 'obj_weakref': <weakref at 0x7f71069aa3b0; to 'Tensor' at 0x7f71066d80b0>
2022-11-23T01:32:37.2111205Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2111270Z             }
2022-11-23T01:32:37.2111332Z             
2022-11-23T01:32:37.2111400Z  - 
2022-11-23T01:32:37.2111518Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2111567Z             {
2022-11-23T01:32:37.2111701Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2111869Z                 'code': ['___check_obj_id(model, 140123420850512)'],
2022-11-23T01:32:37.2112088Z                 'obj_weakref': <weakref at 0x7f70f2e14ad0; to 'Sequential' at 0x7f7106b97950>
2022-11-23T01:32:37.2112320Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2112383Z             }
2022-11-23T01:32:37.2112445Z             
2022-11-23T01:32:37.2112499Z  - 
2022-11-23T01:32:37.2112619Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2112682Z             {
2022-11-23T01:32:37.2112818Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2113035Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2113151Z                 'obj_weakref': None
2022-11-23T01:32:37.2113367Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2113418Z             }
2022-11-23T01:32:37.2113479Z             
2022-11-23T01:32:37.2113546Z  - 
2022-11-23T01:32:37.2113693Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2113754Z             {
2022-11-23T01:32:37.2113871Z                 'guard_types': None,
2022-11-23T01:32:37.2113978Z                 'code': None,
2022-11-23T01:32:37.2114081Z                 'obj_weakref': None
2022-11-23T01:32:37.2114200Z                 'guarded_class': None
2022-11-23T01:32:37.2114261Z             }
2022-11-23T01:32:37.2114322Z             
2022-11-23T01:32:37.2114390Z  - 
2022-11-23T01:32:37.2114535Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2114597Z             {
2022-11-23T01:32:37.2114702Z                 'guard_types': None,
2022-11-23T01:32:37.2114806Z                 'code': None,
2022-11-23T01:32:37.2114921Z                 'obj_weakref': None
2022-11-23T01:32:37.2115040Z                 'guarded_class': None
2022-11-23T01:32:37.2115103Z             }
2022-11-23T01:32:37.2115164Z             
2022-11-23T01:32:37.2115406Z [2022-11-23 01:16:46,349] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 84
2022-11-23T01:32:37.2115813Z [2022-11-23 01:16:46,383] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6g/c6gocbkpfo2aahixruqrbryba27uks67c5iuixtqy36pr2hgh6es.py
2022-11-23T01:32:37.2116073Z [2022-11-23 01:16:46,383] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 84
2022-11-23T01:32:37.2116339Z [2022-11-23 01:16:46,511] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2116604Z [2022-11-23 01:16:46,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2116818Z [2022-11-23 01:16:46,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2117058Z [2022-11-23 01:16:46,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2117467Z [2022-11-23 01:16:46,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2117785Z [2022-11-23 01:16:46,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2118054Z [2022-11-23 01:16:46,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2118376Z [2022-11-23 01:16:46,557] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2118634Z [2022-11-23 01:16:46,559] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2118880Z [2022-11-23 01:16:46,595] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2119066Z [2022-11-23 01:16:46,595] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2119200Z  __compiled_fn_86 <eval_with_key>.570 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2119289Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2119390Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2119490Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2119576Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2119581Z 
2022-11-23T01:32:37.2119854Z [2022-11-23 01:16:46,596] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2119949Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2120041Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2120133Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2120222Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2120298Z               8 RETURN_VALUE
2022-11-23T01:32:37.2120304Z 
2022-11-23T01:32:37.2120363Z  
2022-11-23T01:32:37.2120624Z [2022-11-23 01:16:46,596] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2120731Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_86)
2022-11-23T01:32:37.2120819Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2120907Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2120983Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2121070Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2121161Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2121224Z              12 RETURN_VALUE
2022-11-23T01:32:37.2121246Z 
2022-11-23T01:32:37.2121293Z  
2022-11-23T01:32:37.2121475Z [2022-11-23 01:16:46,597] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2121543Z  - 
2022-11-23T01:32:37.2121661Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2121724Z             {
2022-11-23T01:32:37.2121863Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2122036Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2122152Z                 'obj_weakref': None
2022-11-23T01:32:37.2122440Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2122504Z             }
2022-11-23T01:32:37.2122569Z             
2022-11-23T01:32:37.2122639Z  - 
2022-11-23T01:32:37.2122762Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2122811Z             {
2022-11-23T01:32:37.2122954Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2123099Z                 'code': None,
2022-11-23T01:32:37.2123313Z                 'obj_weakref': <weakref at 0x7f710699e1d0; to 'Tensor' at 0x7f70f2de6a70>
2022-11-23T01:32:37.2123562Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2123626Z             }
2022-11-23T01:32:37.2123689Z             
2022-11-23T01:32:37.2123743Z  - 
2022-11-23T01:32:37.2123861Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2123923Z             {
2022-11-23T01:32:37.2124061Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2124229Z                 'code': ['___check_obj_id(model, 140123420850512)'],
2022-11-23T01:32:37.2124444Z                 'obj_weakref': <weakref at 0x7f70f2e14ad0; to 'Sequential' at 0x7f7106b97950>
2022-11-23T01:32:37.2124677Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2124740Z             }
2022-11-23T01:32:37.2124790Z             
2022-11-23T01:32:37.2124860Z  - 
2022-11-23T01:32:37.2124980Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2125042Z             {
2022-11-23T01:32:37.2125175Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2125394Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2125510Z                 'obj_weakref': None
2022-11-23T01:32:37.2125713Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2125781Z             }
2022-11-23T01:32:37.2125843Z             
2022-11-23T01:32:37.2125911Z  - 
2022-11-23T01:32:37.2126054Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2126116Z             {
2022-11-23T01:32:37.2126222Z                 'guard_types': None,
2022-11-23T01:32:37.2126326Z                 'code': None,
2022-11-23T01:32:37.2126441Z                 'obj_weakref': None
2022-11-23T01:32:37.2126560Z                 'guarded_class': None
2022-11-23T01:32:37.2126624Z             }
2022-11-23T01:32:37.2126686Z             
2022-11-23T01:32:37.2126753Z  - 
2022-11-23T01:32:37.2126883Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2126944Z             {
2022-11-23T01:32:37.2127060Z                 'guard_types': None,
2022-11-23T01:32:37.2127165Z                 'code': None,
2022-11-23T01:32:37.2127279Z                 'obj_weakref': None
2022-11-23T01:32:37.2127398Z                 'guarded_class': None
2022-11-23T01:32:37.2127464Z             }
2022-11-23T01:32:37.2127513Z             
2022-11-23T01:32:37.2127769Z [2022-11-23 01:16:46,646] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 85
2022-11-23T01:32:37.2127775Z 
2022-11-23T01:32:37.2127779Z 
2022-11-23T01:32:37.2127871Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2127938Z import torch
2022-11-23T01:32:37.2128006Z import random
2022-11-23T01:32:37.2128121Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2128244Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2128248Z 
2022-11-23T01:32:37.2128327Z aten = torch.ops.aten
2022-11-23T01:32:37.2128447Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2128539Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2128544Z 
2022-11-23T01:32:37.2128548Z 
2022-11-23T01:32:37.2128681Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2128958Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2129161Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2129290Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2129393Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2129494Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2129582Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2129642Z {
2022-11-23T01:32:37.2129772Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2129835Z     {
2022-11-23T01:32:37.2129911Z         #pragma omp for 
2022-11-23T01:32:37.2129993Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.2130044Z         {
2022-11-23T01:32:37.2130130Z             for(long i1=0; i1<784; i1+=1)
2022-11-23T01:32:37.2130193Z             {
2022-11-23T01:32:37.2130345Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (12544*i0));
2022-11-23T01:32:37.2130475Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2130596Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2130719Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2130839Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2130976Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2131170Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2131257Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2131343Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2131442Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2131574Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2131661Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2131749Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2131830Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2131921Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2132028Z                 tmp14.store(in_out_ptr0 + (16*i1) + (12544*i0));
2022-11-23T01:32:37.2132092Z             }
2022-11-23T01:32:37.2132184Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2132273Z             for(long i1=12544; i1<12544; i1+=1)
2022-11-23T01:32:37.2132336Z             {
2022-11-23T01:32:37.2132427Z                 auto tmp0 = in_out_ptr0[i1 + (12544*i0)];
2022-11-23T01:32:37.2132515Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2132599Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2132685Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2132769Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2132895Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2133048Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2133122Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2133218Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2133299Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2133398Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2133482Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2133568Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2133658Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2133736Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2133831Z                 in_out_ptr0[i1 + (12544*i0)] = tmp14;
2022-11-23T01:32:37.2133894Z             }
2022-11-23T01:32:37.2133958Z         }
2022-11-23T01:32:37.2134021Z     }
2022-11-23T01:32:37.2134082Z }
2022-11-23T01:32:37.2134160Z ''')
2022-11-23T01:32:37.2134167Z 
2022-11-23T01:32:37.2134171Z 
2022-11-23T01:32:37.2134263Z async_compile.wait(globals())
2022-11-23T01:32:37.2134324Z del async_compile
2022-11-23T01:32:37.2134329Z 
2022-11-23T01:32:37.2134430Z def call(args):
2022-11-23T01:32:37.2134551Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.2134624Z     args.clear()
2022-11-23T01:32:37.2134761Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1)
2022-11-23T01:32:37.2134874Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 12544, 112, 1))
2022-11-23T01:32:37.2134944Z     del arg0_1
2022-11-23T01:32:37.2134997Z     del arg1_1
2022-11-23T01:32:37.2135090Z     del arg7_1
2022-11-23T01:32:37.2135214Z     buf1 = as_strided(buf0, (1, 32, 112, 112), (401408, 12544, 112, 1)); del buf0  # reuse
2022-11-23T01:32:37.2135430Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.2135498Z     del arg2_1
2022-11-23T01:32:37.2135566Z     del arg3_1
2022-11-23T01:32:37.2135633Z     del arg4_1
2022-11-23T01:32:37.2135686Z     del arg5_1
2022-11-23T01:32:37.2135760Z     return (buf1, )
2022-11-23T01:32:37.2135765Z 
2022-11-23T01:32:37.2135769Z 
2022-11-23T01:32:37.2135846Z if __name__ == "__main__":
2022-11-23T01:32:37.2135961Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2136085Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2136297Z     arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2136495Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2136686Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2136861Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2137048Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2137235Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2137416Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2137645Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2137801Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.2137806Z 
2022-11-23T01:32:37.2137810Z 
2022-11-23T01:32:37.2137905Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2137976Z import torch
2022-11-23T01:32:37.2138035Z import random
2022-11-23T01:32:37.2138153Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2138274Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2138278Z 
2022-11-23T01:32:37.2138358Z aten = torch.ops.aten
2022-11-23T01:32:37.2138493Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2138585Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2138590Z 
2022-11-23T01:32:37.2138594Z 
2022-11-23T01:32:37.2138730Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2138937Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2139040Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2139145Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2139250Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2139352Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2139457Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2139516Z {
2022-11-23T01:32:37.2139614Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2139677Z     {
2022-11-23T01:32:37.2139741Z         #pragma omp for 
2022-11-23T01:32:37.2139825Z         for(long i0=0; i0<12544; i0+=1)
2022-11-23T01:32:37.2139888Z         {
2022-11-23T01:32:37.2139972Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:37.2140038Z             {
2022-11-23T01:32:37.2140190Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (32*i0));
2022-11-23T01:32:37.2140355Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i1);
2022-11-23T01:32:37.2140477Z                 auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i1);
2022-11-23T01:32:37.2140608Z                 auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr2 + 16*i1);
2022-11-23T01:32:37.2140781Z                 auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr3 + 16*i1);
2022-11-23T01:32:37.2140913Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2141117Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2141202Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2141290Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2141388Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2141509Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2141596Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2141684Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2141774Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2141865Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2141974Z                 tmp14.store(in_out_ptr0 + (16*i1) + (32*i0));
2022-11-23T01:32:37.2142038Z             }
2022-11-23T01:32:37.2142116Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2142202Z             for(long i1=32; i1<32; i1+=1)
2022-11-23T01:32:37.2142265Z             {
2022-11-23T01:32:37.2142364Z                 auto tmp0 = in_out_ptr0[i1 + (32*i0)];
2022-11-23T01:32:37.2142450Z                 auto tmp1 = in_ptr0[i1];
2022-11-23T01:32:37.2142534Z                 auto tmp3 = in_ptr1[i1];
2022-11-23T01:32:37.2142622Z                 auto tmp11 = in_ptr2[i1];
2022-11-23T01:32:37.2142696Z                 auto tmp13 = in_ptr3[i1];
2022-11-23T01:32:37.2142821Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2142978Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2143062Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2143156Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2143238Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2143338Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2143409Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2143497Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2143585Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2143674Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2143768Z                 in_out_ptr0[i1 + (32*i0)] = tmp14;
2022-11-23T01:32:37.2143829Z             }
2022-11-23T01:32:37.2143890Z         }
2022-11-23T01:32:37.2143939Z     }
2022-11-23T01:32:37.2143998Z }
2022-11-23T01:32:37.2144074Z ''')
2022-11-23T01:32:37.2144079Z 
2022-11-23T01:32:37.2144083Z 
2022-11-23T01:32:37.2144175Z async_compile.wait(globals())
2022-11-23T01:32:37.2144246Z del async_compile
2022-11-23T01:32:37.2144251Z 
2022-11-23T01:32:37.2144323Z def call(args):
2022-11-23T01:32:37.2144528Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.2144603Z     args.clear()
2022-11-23T01:32:37.2144725Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1)
2022-11-23T01:32:37.2144838Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32))
2022-11-23T01:32:37.2144909Z     del arg0_1
2022-11-23T01:32:37.2144975Z     del arg1_1
2022-11-23T01:32:37.2145040Z     del arg7_1
2022-11-23T01:32:37.2145161Z     buf1 = as_strided(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32)); del buf0  # reuse
2022-11-23T01:32:37.2145372Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.2145426Z     del arg2_1
2022-11-23T01:32:37.2145533Z     del arg3_1
2022-11-23T01:32:37.2145597Z     del arg4_1
2022-11-23T01:32:37.2145662Z     del arg5_1
2022-11-23T01:32:37.2145732Z     return (buf1, )
2022-11-23T01:32:37.2145737Z 
2022-11-23T01:32:37.2145741Z 
2022-11-23T01:32:37.2145815Z if __name__ == "__main__":
2022-11-23T01:32:37.2145928Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2146051Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2146281Z     arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2146478Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2146668Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2146853Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2147039Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2147223Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2147405Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2147622Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2147765Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.2148136Z [2022-11-23 01:16:46,678] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7y/c7yglf6ca6oczqgf5v6goy5ipvb42fgaaome64xkj3zsllfj7xw7.py
2022-11-23T01:32:37.2148401Z [2022-11-23 01:16:46,679] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 85
2022-11-23T01:32:37.2148640Z [2022-11-23 01:16:46,830] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2148904Z [2022-11-23 01:16:46,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2149122Z [2022-11-23 01:16:46,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2149363Z [2022-11-23 01:16:46,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2149638Z [2022-11-23 01:16:46,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2149959Z [2022-11-23 01:16:46,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2150194Z [2022-11-23 01:16:46,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2150426Z [2022-11-23 01:16:46,875] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2150674Z [2022-11-23 01:16:46,877] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2150925Z [2022-11-23 01:16:46,907] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2151112Z [2022-11-23 01:16:46,908] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2151244Z  __compiled_fn_87 <eval_with_key>.576 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2151334Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2151432Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2151524Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2151620Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2151625Z 
2022-11-23T01:32:37.2151900Z [2022-11-23 01:16:46,908] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2151995Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2152085Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2152177Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2152294Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2152370Z               8 RETURN_VALUE
2022-11-23T01:32:37.2152376Z 
2022-11-23T01:32:37.2152424Z  
2022-11-23T01:32:37.2152696Z [2022-11-23 01:16:46,908] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2152804Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_87)
2022-11-23T01:32:37.2152919Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2153009Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2153085Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2153172Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2153261Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2153323Z              12 RETURN_VALUE
2022-11-23T01:32:37.2153328Z 
2022-11-23T01:32:37.2153387Z  
2022-11-23T01:32:37.2153568Z [2022-11-23 01:16:46,909] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2153639Z  - 
2022-11-23T01:32:37.2153759Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2153823Z             {
2022-11-23T01:32:37.2153963Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2154135Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2154252Z                 'obj_weakref': None
2022-11-23T01:32:37.2154479Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2154542Z             }
2022-11-23T01:32:37.2154605Z             
2022-11-23T01:32:37.2154673Z  - 
2022-11-23T01:32:37.2154795Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2154846Z             {
2022-11-23T01:32:37.2154990Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2155095Z                 'code': None,
2022-11-23T01:32:37.2155302Z                 'obj_weakref': <weakref at 0x7f71188f0d70; to 'Tensor' at 0x7f7106a3a3b0>
2022-11-23T01:32:37.2155554Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2155617Z             }
2022-11-23T01:32:37.2155679Z             
2022-11-23T01:32:37.2155735Z  - 
2022-11-23T01:32:37.2155853Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2155914Z             {
2022-11-23T01:32:37.2156049Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2156219Z                 'code': ['___check_obj_id(model, 140123422863504)'],
2022-11-23T01:32:37.2156433Z                 'obj_weakref': <weakref at 0x7f7106a3def0; to 'Sequential' at 0x7f7106d83090>
2022-11-23T01:32:37.2156664Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2156717Z             }
2022-11-23T01:32:37.2156778Z             
2022-11-23T01:32:37.2156846Z  - 
2022-11-23T01:32:37.2156969Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2157032Z             {
2022-11-23T01:32:37.2157324Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2157583Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2157687Z                 'obj_weakref': None
2022-11-23T01:32:37.2157903Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2157966Z             }
2022-11-23T01:32:37.2158030Z             
2022-11-23T01:32:37.2158099Z  - 
2022-11-23T01:32:37.2158248Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2158311Z             {
2022-11-23T01:32:37.2158416Z                 'guard_types': None,
2022-11-23T01:32:37.2158521Z                 'code': None,
2022-11-23T01:32:37.2158637Z                 'obj_weakref': None
2022-11-23T01:32:37.2158756Z                 'guarded_class': None
2022-11-23T01:32:37.2158819Z             }
2022-11-23T01:32:37.2158881Z             
2022-11-23T01:32:37.2158949Z  - 
2022-11-23T01:32:37.2159079Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2159215Z             {
2022-11-23T01:32:37.2159334Z                 'guard_types': None,
2022-11-23T01:32:37.2159440Z                 'code': None,
2022-11-23T01:32:37.2159556Z                 'obj_weakref': None
2022-11-23T01:32:37.2159676Z                 'guarded_class': None
2022-11-23T01:32:37.2159726Z             }
2022-11-23T01:32:37.2159790Z             
2022-11-23T01:32:37.2160085Z [2022-11-23 01:16:46,961] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 86
2022-11-23T01:32:37.2160451Z [2022-11-23 01:16:46,994] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sx/csx2awdq24uyl75ovyzid5z3fqjaponpowmudbwz6ds6nmsc2wpu.py
2022-11-23T01:32:37.2160710Z [2022-11-23 01:16:46,995] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 86
2022-11-23T01:32:37.2160945Z [2022-11-23 01:16:47,429] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2161213Z [2022-11-23 01:16:47,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2161429Z [2022-11-23 01:16:47,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2161672Z [2022-11-23 01:16:47,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2161935Z [2022-11-23 01:16:47,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2162250Z [2022-11-23 01:16:47,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2162493Z [2022-11-23 01:16:47,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2162723Z [2022-11-23 01:16:47,469] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2162976Z [2022-11-23 01:16:47,470] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2163223Z [2022-11-23 01:16:47,501] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2163409Z [2022-11-23 01:16:47,501] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2163543Z  __compiled_fn_88 <eval_with_key>.582 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2163634Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2163720Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2163820Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2163919Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2163925Z 
2022-11-23T01:32:37.2164199Z [2022-11-23 01:16:47,502] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2164291Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2164386Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2164475Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2164566Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2164629Z               8 RETURN_VALUE
2022-11-23T01:32:37.2164634Z 
2022-11-23T01:32:37.2164694Z  
2022-11-23T01:32:37.2164966Z [2022-11-23 01:16:47,502] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2165074Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_88)
2022-11-23T01:32:37.2165163Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2165251Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2165326Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2165401Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2165490Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2165564Z              12 RETURN_VALUE
2022-11-23T01:32:37.2165599Z 
2022-11-23T01:32:37.2165658Z  
2022-11-23T01:32:37.2165839Z [2022-11-23 01:16:47,503] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2165907Z  - 
2022-11-23T01:32:37.2166024Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2166076Z             {
2022-11-23T01:32:37.2166214Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2166396Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2166542Z                 'obj_weakref': None
2022-11-23T01:32:37.2166765Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2166829Z             }
2022-11-23T01:32:37.2166893Z             
2022-11-23T01:32:37.2166948Z  - 
2022-11-23T01:32:37.2167070Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2167134Z             {
2022-11-23T01:32:37.2167275Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2167382Z                 'code': None,
2022-11-23T01:32:37.2167592Z                 'obj_weakref': <weakref at 0x7f710cd89cb0; to 'Tensor' at 0x7f7106a3db90>
2022-11-23T01:32:37.2167837Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2167900Z             }
2022-11-23T01:32:37.2167950Z             
2022-11-23T01:32:37.2168017Z  - 
2022-11-23T01:32:37.2168135Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2168197Z             {
2022-11-23T01:32:37.2168334Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2168501Z                 'code': ['___check_obj_id(model, 140123422863504)'],
2022-11-23T01:32:37.2168706Z                 'obj_weakref': <weakref at 0x7f7106a3def0; to 'Sequential' at 0x7f7106d83090>
2022-11-23T01:32:37.2168938Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2168999Z             }
2022-11-23T01:32:37.2169063Z             
2022-11-23T01:32:37.2169132Z  - 
2022-11-23T01:32:37.2169252Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2169314Z             {
2022-11-23T01:32:37.2169438Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2169654Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2169770Z                 'obj_weakref': None
2022-11-23T01:32:37.2169992Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2170057Z             }
2022-11-23T01:32:37.2170118Z             
2022-11-23T01:32:37.2170187Z  - 
2022-11-23T01:32:37.2170320Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2170382Z             {
2022-11-23T01:32:37.2170500Z                 'guard_types': None,
2022-11-23T01:32:37.2170607Z                 'code': None,
2022-11-23T01:32:37.2170723Z                 'obj_weakref': None
2022-11-23T01:32:37.2170843Z                 'guarded_class': None
2022-11-23T01:32:37.2170910Z             }
2022-11-23T01:32:37.2170960Z             
2022-11-23T01:32:37.2171027Z  - 
2022-11-23T01:32:37.2171173Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2171237Z             {
2022-11-23T01:32:37.2171357Z                 'guard_types': None,
2022-11-23T01:32:37.2171465Z                 'code': None,
2022-11-23T01:32:37.2171582Z                 'obj_weakref': None
2022-11-23T01:32:37.2171689Z                 'guarded_class': None
2022-11-23T01:32:37.2171755Z             }
2022-11-23T01:32:37.2171819Z             
2022-11-23T01:32:37.2172076Z [2022-11-23 01:16:47,552] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 87
2022-11-23T01:32:37.2172081Z 
2022-11-23T01:32:37.2172086Z 
2022-11-23T01:32:37.2172179Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2172250Z import torch
2022-11-23T01:32:37.2172323Z import random
2022-11-23T01:32:37.2172427Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2172582Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2172587Z 
2022-11-23T01:32:37.2172666Z aten = torch.ops.aten
2022-11-23T01:32:37.2172800Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2172898Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2172904Z 
2022-11-23T01:32:37.2172908Z 
2022-11-23T01:32:37.2173042Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2173278Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2173396Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2173504Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2173595Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2173698Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2173800Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2173862Z {
2022-11-23T01:32:37.2173963Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2174028Z     {
2022-11-23T01:32:37.2174109Z         #pragma omp for 
2022-11-23T01:32:37.2174179Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.2174243Z         {
2022-11-23T01:32:37.2174331Z             for(long i1=0; i1<784; i1+=1)
2022-11-23T01:32:37.2174395Z             {
2022-11-23T01:32:37.2174549Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (12544*i0));
2022-11-23T01:32:37.2174679Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2174803Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2174914Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2175035Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2175171Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2175377Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2175472Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2175563Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2175661Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2175796Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2175870Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2175959Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2176054Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2176146Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2176258Z                 tmp14.store(in_out_ptr0 + (16*i1) + (12544*i0));
2022-11-23T01:32:37.2176325Z             }
2022-11-23T01:32:37.2176418Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2176498Z             for(long i1=12544; i1<12544; i1+=1)
2022-11-23T01:32:37.2176565Z             {
2022-11-23T01:32:37.2176668Z                 auto tmp0 = in_out_ptr0[i1 + (12544*i0)];
2022-11-23T01:32:37.2176754Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2176839Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2176926Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2177012Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2177125Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2177278Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2177365Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2177460Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2177541Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2177637Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2177722Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2177796Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2177886Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2177974Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2178104Z                 in_out_ptr0[i1 + (12544*i0)] = tmp14;
2022-11-23T01:32:37.2178167Z             }
2022-11-23T01:32:37.2178229Z         }
2022-11-23T01:32:37.2178291Z     }
2022-11-23T01:32:37.2178339Z }
2022-11-23T01:32:37.2178415Z ''')
2022-11-23T01:32:37.2178420Z 
2022-11-23T01:32:37.2178424Z 
2022-11-23T01:32:37.2178511Z async_compile.wait(globals())
2022-11-23T01:32:37.2178584Z del async_compile
2022-11-23T01:32:37.2178589Z 
2022-11-23T01:32:37.2178685Z def call(args):
2022-11-23T01:32:37.2178803Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.2178874Z     args.clear()
2022-11-23T01:32:37.2179011Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4)
2022-11-23T01:32:37.2179112Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 12544, 112, 1))
2022-11-23T01:32:37.2179178Z     del arg0_1
2022-11-23T01:32:37.2179243Z     del arg1_1
2022-11-23T01:32:37.2179310Z     del arg7_1
2022-11-23T01:32:37.2179434Z     buf1 = as_strided(buf0, (1, 128, 112, 112), (1605632, 12544, 112, 1)); del buf0  # reuse
2022-11-23T01:32:37.2179647Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.2179714Z     del arg2_1
2022-11-23T01:32:37.2179768Z     del arg3_1
2022-11-23T01:32:37.2179833Z     del arg4_1
2022-11-23T01:32:37.2179899Z     del arg5_1
2022-11-23T01:32:37.2179970Z     return (buf1, )
2022-11-23T01:32:37.2179975Z 
2022-11-23T01:32:37.2179979Z 
2022-11-23T01:32:37.2180055Z if __name__ == "__main__":
2022-11-23T01:32:37.2180168Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2180290Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2180501Z     arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2180683Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2180878Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2181071Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2181258Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2181447Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2181627Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2181853Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2182008Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.2182013Z 
2022-11-23T01:32:37.2182017Z 
2022-11-23T01:32:37.2182098Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2182165Z import torch
2022-11-23T01:32:37.2182236Z import random
2022-11-23T01:32:37.2182351Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2182470Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2182475Z 
2022-11-23T01:32:37.2182551Z aten = torch.ops.aten
2022-11-23T01:32:37.2182684Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2182774Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2182779Z 
2022-11-23T01:32:37.2182783Z 
2022-11-23T01:32:37.2182904Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2183107Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2183224Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2183327Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2183430Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2183530Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2183665Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2183725Z {
2022-11-23T01:32:37.2183810Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2183870Z     {
2022-11-23T01:32:37.2183945Z         #pragma omp for 
2022-11-23T01:32:37.2184029Z         for(long i0=0; i0<12544; i0+=1)
2022-11-23T01:32:37.2184092Z         {
2022-11-23T01:32:37.2184172Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:37.2184222Z             {
2022-11-23T01:32:37.2184415Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (128*i0));
2022-11-23T01:32:37.2184632Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i1);
2022-11-23T01:32:37.2184768Z                 auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i1);
2022-11-23T01:32:37.2184900Z                 auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr2 + 16*i1);
2022-11-23T01:32:37.2185032Z                 auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr3 + 16*i1);
2022-11-23T01:32:37.2185169Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2185371Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2185458Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2185533Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2185632Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2185768Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2185854Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2185941Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2186032Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2186121Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2186217Z                 tmp14.store(in_out_ptr0 + (16*i1) + (128*i0));
2022-11-23T01:32:37.2186280Z             }
2022-11-23T01:32:37.2186372Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2186461Z             for(long i1=128; i1<128; i1+=1)
2022-11-23T01:32:37.2186525Z             {
2022-11-23T01:32:37.2186625Z                 auto tmp0 = in_out_ptr0[i1 + (128*i0)];
2022-11-23T01:32:37.2186711Z                 auto tmp1 = in_ptr0[i1];
2022-11-23T01:32:37.2186784Z                 auto tmp3 = in_ptr1[i1];
2022-11-23T01:32:37.2186869Z                 auto tmp11 = in_ptr2[i1];
2022-11-23T01:32:37.2186955Z                 auto tmp13 = in_ptr3[i1];
2022-11-23T01:32:37.2187083Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2187238Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2187324Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2187418Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2187487Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2187585Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2187669Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2187755Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2187845Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2187932Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2188026Z                 in_out_ptr0[i1 + (128*i0)] = tmp14;
2022-11-23T01:32:37.2188077Z             }
2022-11-23T01:32:37.2188139Z         }
2022-11-23T01:32:37.2188200Z     }
2022-11-23T01:32:37.2188260Z }
2022-11-23T01:32:37.2188337Z ''')
2022-11-23T01:32:37.2188342Z 
2022-11-23T01:32:37.2188346Z 
2022-11-23T01:32:37.2188436Z async_compile.wait(globals())
2022-11-23T01:32:37.2188508Z del async_compile
2022-11-23T01:32:37.2188513Z 
2022-11-23T01:32:37.2188584Z def call(args):
2022-11-23T01:32:37.2188691Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.2188761Z     args.clear()
2022-11-23T01:32:37.2188895Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4)
2022-11-23T01:32:37.2189008Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128))
2022-11-23T01:32:37.2189108Z     del arg0_1
2022-11-23T01:32:37.2189177Z     del arg1_1
2022-11-23T01:32:37.2189242Z     del arg7_1
2022-11-23T01:32:37.2189354Z     buf1 = as_strided(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128)); del buf0  # reuse
2022-11-23T01:32:37.2189566Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.2189658Z     del arg2_1
2022-11-23T01:32:37.2189724Z     del arg3_1
2022-11-23T01:32:37.2189789Z     del arg4_1
2022-11-23T01:32:37.2189853Z     del arg5_1
2022-11-23T01:32:37.2189923Z     return (buf1, )
2022-11-23T01:32:37.2189928Z 
2022-11-23T01:32:37.2189932Z 
2022-11-23T01:32:37.2190007Z if __name__ == "__main__":
2022-11-23T01:32:37.2190109Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2190229Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2190441Z     arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2190637Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2190829Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2191014Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2191204Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2191382Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2191558Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2191780Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2191934Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.2192303Z [2022-11-23 01:16:47,584] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/33/c335oji2m6ojezghppa42sbiw5kt7shffabzoddfwjj26cqxd3xy.py
2022-11-23T01:32:37.2192571Z [2022-11-23 01:16:47,584] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 87
2022-11-23T01:32:37.2192808Z [2022-11-23 01:16:47,976] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2193078Z [2022-11-23 01:16:47,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2193292Z [2022-11-23 01:16:47,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2193523Z [2022-11-23 01:16:47,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2193796Z [2022-11-23 01:16:47,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2194112Z [2022-11-23 01:16:47,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2194362Z [2022-11-23 01:16:48,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2194599Z [2022-11-23 01:16:48,010] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2194855Z [2022-11-23 01:16:48,012] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2195101Z [2022-11-23 01:16:48,042] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2195288Z [2022-11-23 01:16:48,043] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2195419Z  __compiled_fn_89 <eval_with_key>.588 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2195497Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2195595Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2195726Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2195825Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2195830Z 
2022-11-23T01:32:37.2196107Z [2022-11-23 01:16:48,043] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2196198Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2196288Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2196407Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2196485Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2196560Z               8 RETURN_VALUE
2022-11-23T01:32:37.2196566Z 
2022-11-23T01:32:37.2196625Z  
2022-11-23T01:32:37.2196901Z [2022-11-23 01:16:48,043] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2197007Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_89)
2022-11-23T01:32:37.2197098Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2197316Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2197393Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2197469Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2197558Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2197634Z              12 RETURN_VALUE
2022-11-23T01:32:37.2197639Z 
2022-11-23T01:32:37.2197699Z  
2022-11-23T01:32:37.2197885Z [2022-11-23 01:16:48,044] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2197954Z  - 
2022-11-23T01:32:37.2198073Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2198125Z             {
2022-11-23T01:32:37.2198264Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2198450Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2198569Z                 'obj_weakref': None
2022-11-23T01:32:37.2198793Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2198860Z             }
2022-11-23T01:32:37.2198923Z             
2022-11-23T01:32:37.2198979Z  - 
2022-11-23T01:32:37.2199103Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2199169Z             {
2022-11-23T01:32:37.2199311Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2199416Z                 'code': None,
2022-11-23T01:32:37.2199631Z                 'obj_weakref': <weakref at 0x7f70f2de6cb0; to 'Tensor' at 0x7f7106e889b0>
2022-11-23T01:32:37.2199876Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2199928Z             }
2022-11-23T01:32:37.2199991Z             
2022-11-23T01:32:37.2200059Z  - 
2022-11-23T01:32:37.2200176Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2200238Z             {
2022-11-23T01:32:37.2200371Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2200539Z                 'code': ['___check_obj_id(model, 140123421275792)'],
2022-11-23T01:32:37.2200742Z                 'obj_weakref': <weakref at 0x7f70f2e17470; to 'Sequential' at 0x7f7106bff690>
2022-11-23T01:32:37.2200975Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2201039Z             }
2022-11-23T01:32:37.2201102Z             
2022-11-23T01:32:37.2201168Z  - 
2022-11-23T01:32:37.2201288Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2201353Z             {
2022-11-23T01:32:37.2201475Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2201691Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2201809Z                 'obj_weakref': None
2022-11-23T01:32:37.2202024Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2202086Z             }
2022-11-23T01:32:37.2202147Z             
2022-11-23T01:32:37.2202269Z  - 
2022-11-23T01:32:37.2202401Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2202463Z             {
2022-11-23T01:32:37.2202583Z                 'guard_types': None,
2022-11-23T01:32:37.2202688Z                 'code': None,
2022-11-23T01:32:37.2202804Z                 'obj_weakref': None
2022-11-23T01:32:37.2202924Z                 'guarded_class': None
2022-11-23T01:32:37.2202990Z             }
2022-11-23T01:32:37.2203039Z             
2022-11-23T01:32:37.2203147Z  - 
2022-11-23T01:32:37.2203294Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2203355Z             {
2022-11-23T01:32:37.2203472Z                 'guard_types': None,
2022-11-23T01:32:37.2203578Z                 'code': None,
2022-11-23T01:32:37.2203682Z                 'obj_weakref': None
2022-11-23T01:32:37.2203802Z                 'guarded_class': None
2022-11-23T01:32:37.2203863Z             }
2022-11-23T01:32:37.2203924Z             
2022-11-23T01:32:37.2204182Z [2022-11-23 01:16:48,093] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 88
2022-11-23T01:32:37.2204554Z [2022-11-23 01:16:50,678] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tx/ctxvf52avigkva6ewozmmimn5ssocsttkk77rxarhgc5oanlz2xn.py
2022-11-23T01:32:37.2204814Z [2022-11-23 01:16:50,679] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 88
2022-11-23T01:32:37.2205050Z [2022-11-23 01:16:50,800] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2205302Z [2022-11-23 01:16:50,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2205517Z [2022-11-23 01:16:50,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2205758Z [2022-11-23 01:16:50,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2206034Z [2022-11-23 01:16:50,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2206354Z [2022-11-23 01:16:50,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2206598Z [2022-11-23 01:16:50,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2206833Z [2022-11-23 01:16:50,850] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2207086Z [2022-11-23 01:16:50,852] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2207332Z [2022-11-23 01:16:50,890] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2207519Z [2022-11-23 01:16:50,890] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2207640Z  __compiled_fn_90 <eval_with_key>.594 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2207731Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2207830Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2207932Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2208032Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2208037Z 
2022-11-23T01:32:37.2208311Z [2022-11-23 01:16:50,891] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2208408Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2208500Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2208581Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2208671Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2208748Z               8 RETURN_VALUE
2022-11-23T01:32:37.2208753Z 
2022-11-23T01:32:37.2208815Z  
2022-11-23T01:32:37.2209086Z [2022-11-23 01:16:50,891] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2209223Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_90)
2022-11-23T01:32:37.2209316Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2209392Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2209469Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2209557Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2209648Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2209750Z              12 RETURN_VALUE
2022-11-23T01:32:37.2209755Z 
2022-11-23T01:32:37.2209817Z  
2022-11-23T01:32:37.2209998Z [2022-11-23 01:16:50,892] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2210055Z  - 
2022-11-23T01:32:37.2210174Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2210243Z             {
2022-11-23T01:32:37.2210385Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2210569Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2210690Z                 'obj_weakref': None
2022-11-23T01:32:37.2210915Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2210967Z             }
2022-11-23T01:32:37.2211031Z             
2022-11-23T01:32:37.2211102Z  - 
2022-11-23T01:32:37.2211226Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2211292Z             {
2022-11-23T01:32:37.2211434Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2211544Z                 'code': None,
2022-11-23T01:32:37.2211741Z                 'obj_weakref': <weakref at 0x7f70f2e06bf0; to 'Tensor' at 0x7f7106bd1590>
2022-11-23T01:32:37.2211990Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2212054Z             }
2022-11-23T01:32:37.2212119Z             
2022-11-23T01:32:37.2212189Z  - 
2022-11-23T01:32:37.2212308Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2212377Z             {
2022-11-23T01:32:37.2212497Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2212666Z                 'code': ['___check_obj_id(model, 140123421275792)'],
2022-11-23T01:32:37.2212883Z                 'obj_weakref': <weakref at 0x7f70f2e17470; to 'Sequential' at 0x7f7106bff690>
2022-11-23T01:32:37.2213117Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2213182Z             }
2022-11-23T01:32:37.2213248Z             
2022-11-23T01:32:37.2213317Z  - 
2022-11-23T01:32:37.2213427Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2213489Z             {
2022-11-23T01:32:37.2213623Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2213841Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2213958Z                 'obj_weakref': None
2022-11-23T01:32:37.2214173Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2214238Z             }
2022-11-23T01:32:37.2214299Z             
2022-11-23T01:32:37.2214354Z  - 
2022-11-23T01:32:37.2214498Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2214559Z             {
2022-11-23T01:32:37.2214678Z                 'guard_types': None,
2022-11-23T01:32:37.2214783Z                 'code': None,
2022-11-23T01:32:37.2214903Z                 'obj_weakref': None
2022-11-23T01:32:37.2215013Z                 'guarded_class': None
2022-11-23T01:32:37.2215074Z             }
2022-11-23T01:32:37.2215135Z             
2022-11-23T01:32:37.2215204Z  - 
2022-11-23T01:32:37.2215348Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2215410Z             {
2022-11-23T01:32:37.2215527Z                 'guard_types': None,
2022-11-23T01:32:37.2215619Z                 'code': None,
2022-11-23T01:32:37.2215733Z                 'obj_weakref': None
2022-11-23T01:32:37.2215852Z                 'guarded_class': None
2022-11-23T01:32:37.2215944Z             }
2022-11-23T01:32:37.2216006Z             
2022-11-23T01:32:37.2216266Z [2022-11-23 01:16:50,944] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 89
2022-11-23T01:32:37.2216272Z 
2022-11-23T01:32:37.2216276Z 
2022-11-23T01:32:37.2216367Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2216423Z import torch
2022-11-23T01:32:37.2216490Z import random
2022-11-23T01:32:37.2216642Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2216765Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2216770Z 
2022-11-23T01:32:37.2216847Z aten = torch.ops.aten
2022-11-23T01:32:37.2216980Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2217071Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2217075Z 
2022-11-23T01:32:37.2217079Z 
2022-11-23T01:32:37.2217211Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2217405Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2217524Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2217628Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2217733Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2217834Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2217934Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2217995Z {
2022-11-23T01:32:37.2218092Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2218141Z     {
2022-11-23T01:32:37.2218216Z         #pragma omp for 
2022-11-23T01:32:37.2218297Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.2218359Z         {
2022-11-23T01:32:37.2218444Z             for(long i1=0; i1<756; i1+=1)
2022-11-23T01:32:37.2218506Z             {
2022-11-23T01:32:37.2218656Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (12100*i0));
2022-11-23T01:32:37.2218772Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2218892Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2219015Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2219134Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2219262Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2219466Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2219553Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2219638Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2219724Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2219856Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2219942Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2220030Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2220123Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2220213Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2220321Z                 tmp14.store(in_out_ptr0 + (16*i1) + (12100*i0));
2022-11-23T01:32:37.2220373Z             }
2022-11-23T01:32:37.2220463Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2220553Z             for(long i1=12096; i1<12100; i1+=1)
2022-11-23T01:32:37.2220616Z             {
2022-11-23T01:32:37.2220718Z                 auto tmp0 = in_out_ptr0[i1 + (12100*i0)];
2022-11-23T01:32:37.2220802Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2220887Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2220961Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2221046Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2221172Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2221326Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2221439Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2221535Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2221617Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2221737Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2221820Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2221904Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2222023Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2222113Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2222208Z                 in_out_ptr0[i1 + (12100*i0)] = tmp14;
2022-11-23T01:32:37.2222271Z             }
2022-11-23T01:32:37.2222322Z         }
2022-11-23T01:32:37.2222382Z     }
2022-11-23T01:32:37.2222441Z }
2022-11-23T01:32:37.2222517Z ''')
2022-11-23T01:32:37.2222523Z 
2022-11-23T01:32:37.2222527Z 
2022-11-23T01:32:37.2222615Z async_compile.wait(globals())
2022-11-23T01:32:37.2222686Z del async_compile
2022-11-23T01:32:37.2222693Z 
2022-11-23T01:32:37.2222762Z def call(args):
2022-11-23T01:32:37.2222880Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.2222939Z     args.clear()
2022-11-23T01:32:37.2223074Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:37.2223186Z     assert_size_stride(buf0, (1, 32, 110, 110), (387200, 12100, 110, 1))
2022-11-23T01:32:37.2223254Z     del arg0_1
2022-11-23T01:32:37.2223322Z     del arg1_1
2022-11-23T01:32:37.2223386Z     del arg7_1
2022-11-23T01:32:37.2223507Z     buf1 = as_strided(buf0, (1, 32, 110, 110), (387200, 12100, 110, 1)); del buf0  # reuse
2022-11-23T01:32:37.2223707Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.2223772Z     del arg2_1
2022-11-23T01:32:37.2223837Z     del arg3_1
2022-11-23T01:32:37.2223904Z     del arg4_1
2022-11-23T01:32:37.2223972Z     del arg5_1
2022-11-23T01:32:37.2224041Z     return (buf1, )
2022-11-23T01:32:37.2224047Z 
2022-11-23T01:32:37.2224051Z 
2022-11-23T01:32:37.2224127Z if __name__ == "__main__":
2022-11-23T01:32:37.2224229Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2224350Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2224653Z     arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2224856Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2225047Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2225238Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2225422Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2225607Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2225776Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2226002Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2226155Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.2226161Z 
2022-11-23T01:32:37.2226165Z 
2022-11-23T01:32:37.2226260Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2226332Z import torch
2022-11-23T01:32:37.2226402Z import random
2022-11-23T01:32:37.2226516Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2226636Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2226641Z 
2022-11-23T01:32:37.2226717Z aten = torch.ops.aten
2022-11-23T01:32:37.2226837Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2226928Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2226932Z 
2022-11-23T01:32:37.2226937Z 
2022-11-23T01:32:37.2227104Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2227307Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2227425Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2227523Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.2227583Z {
2022-11-23T01:32:37.2227667Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2227727Z     {
2022-11-23T01:32:37.2227847Z         #pragma omp for 
2022-11-23T01:32:37.2227929Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.2227992Z         {
2022-11-23T01:32:37.2228072Z             #pragma GCC ivdep
2022-11-23T01:32:37.2228154Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:37.2228204Z             {
2022-11-23T01:32:37.2228286Z                 #pragma GCC ivdep
2022-11-23T01:32:37.2228374Z                 for(long i2=0; i2<9; i2+=1)
2022-11-23T01:32:37.2228438Z                 {
2022-11-23T01:32:37.2228504Z                     {
2022-11-23T01:32:37.2228572Z                         {
2022-11-23T01:32:37.2228679Z                             auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)];
2022-11-23T01:32:37.2228769Z                             out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0;
2022-11-23T01:32:37.2228836Z                         }
2022-11-23T01:32:37.2228902Z                     }
2022-11-23T01:32:37.2228965Z                 }
2022-11-23T01:32:37.2229028Z             }
2022-11-23T01:32:37.2229090Z         }
2022-11-23T01:32:37.2229155Z     }
2022-11-23T01:32:37.2229201Z }
2022-11-23T01:32:37.2229279Z ''')
2022-11-23T01:32:37.2229284Z 
2022-11-23T01:32:37.2229288Z 
2022-11-23T01:32:37.2229420Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.2229624Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2229741Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2229848Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2229952Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2230040Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2230136Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2230195Z {
2022-11-23T01:32:37.2230289Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2230353Z     {
2022-11-23T01:32:37.2230428Z         #pragma omp for 
2022-11-23T01:32:37.2230511Z         for(long i0=0; i0<12100; i0+=1)
2022-11-23T01:32:37.2230561Z         {
2022-11-23T01:32:37.2230640Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:37.2230702Z             {
2022-11-23T01:32:37.2230849Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (32*i0));
2022-11-23T01:32:37.2230984Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i1);
2022-11-23T01:32:37.2231116Z                 auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i1);
2022-11-23T01:32:37.2231251Z                 auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr2 + 16*i1);
2022-11-23T01:32:37.2231384Z                 auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr3 + 16*i1);
2022-11-23T01:32:37.2231502Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2231705Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2231791Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2231878Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2231977Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2232110Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2232195Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2232284Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2232363Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2232451Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2232588Z                 tmp14.store(in_out_ptr0 + (16*i1) + (32*i0));
2022-11-23T01:32:37.2232653Z             }
2022-11-23T01:32:37.2232743Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2232827Z             for(long i1=32; i1<32; i1+=1)
2022-11-23T01:32:37.2232891Z             {
2022-11-23T01:32:37.2232979Z                 auto tmp0 = in_out_ptr0[i1 + (32*i0)];
2022-11-23T01:32:37.2233063Z                 auto tmp1 = in_ptr0[i1];
2022-11-23T01:32:37.2233174Z                 auto tmp3 = in_ptr1[i1];
2022-11-23T01:32:37.2233261Z                 auto tmp11 = in_ptr2[i1];
2022-11-23T01:32:37.2233347Z                 auto tmp13 = in_ptr3[i1];
2022-11-23T01:32:37.2233473Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2233626Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2233707Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2233801Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2233881Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2233983Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2234065Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2234151Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2234240Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2234316Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2234408Z                 in_out_ptr0[i1 + (32*i0)] = tmp14;
2022-11-23T01:32:37.2234470Z             }
2022-11-23T01:32:37.2234534Z         }
2022-11-23T01:32:37.2234596Z     }
2022-11-23T01:32:37.2234656Z }
2022-11-23T01:32:37.2234733Z ''')
2022-11-23T01:32:37.2234738Z 
2022-11-23T01:32:37.2234742Z 
2022-11-23T01:32:37.2234818Z async_compile.wait(globals())
2022-11-23T01:32:37.2234889Z del async_compile
2022-11-23T01:32:37.2234894Z 
2022-11-23T01:32:37.2234963Z def call(args):
2022-11-23T01:32:37.2235080Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.2235151Z     args.clear()
2022-11-23T01:32:37.2235362Z     buf0 = empty_strided((32, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2235493Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.2235559Z     del arg0_1
2022-11-23T01:32:37.2235681Z     buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:37.2235790Z     assert_size_stride(buf1, (1, 32, 110, 110), (387200, 1, 3520, 32))
2022-11-23T01:32:37.2235858Z     del arg1_1
2022-11-23T01:32:37.2235927Z     del arg7_1
2022-11-23T01:32:37.2235991Z     del buf0
2022-11-23T01:32:37.2236112Z     buf2 = as_strided(buf1, (1, 32, 110, 110), (387200, 1, 3520, 32)); del buf1  # reuse
2022-11-23T01:32:37.2236320Z     kernel_cpp_1(c_void_p(buf2.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.2236374Z     del arg2_1
2022-11-23T01:32:37.2236439Z     del arg3_1
2022-11-23T01:32:37.2236505Z     del arg4_1
2022-11-23T01:32:37.2236570Z     del arg5_1
2022-11-23T01:32:37.2236642Z     return (buf2, )
2022-11-23T01:32:37.2236647Z 
2022-11-23T01:32:37.2236650Z 
2022-11-23T01:32:37.2236725Z if __name__ == "__main__":
2022-11-23T01:32:37.2236840Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2236951Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2237324Z     arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2237577Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2237768Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2237958Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2238144Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2238330Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2238571Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2238777Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2238931Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.2239340Z [2022-11-23 01:16:53,705] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tn/ctnxgvg25jitku2x3ofyqsy5tb3pultbcd3yffm4krm5b6iem2oc.py
2022-11-23T01:32:37.2239610Z [2022-11-23 01:16:53,706] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 89
2022-11-23T01:32:37.2239848Z [2022-11-23 01:16:53,877] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2240117Z [2022-11-23 01:16:53,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2240335Z [2022-11-23 01:16:53,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2240579Z [2022-11-23 01:16:53,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2240856Z [2022-11-23 01:16:53,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2241174Z [2022-11-23 01:16:53,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2241413Z [2022-11-23 01:16:53,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2241646Z [2022-11-23 01:16:53,913] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2241901Z [2022-11-23 01:16:53,914] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2242150Z [2022-11-23 01:16:53,946] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2242341Z [2022-11-23 01:16:53,946] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2242476Z  __compiled_fn_91 <eval_with_key>.600 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2242568Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2242669Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2242760Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2242863Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2242868Z 
2022-11-23T01:32:37.2243144Z [2022-11-23 01:16:53,947] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2243240Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2243333Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2243426Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2243518Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2243596Z               8 RETURN_VALUE
2022-11-23T01:32:37.2243602Z 
2022-11-23T01:32:37.2243650Z  
2022-11-23T01:32:37.2243927Z [2022-11-23 01:16:53,947] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2244035Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_91)
2022-11-23T01:32:37.2244127Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2244220Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2244298Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2244387Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2244465Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2244541Z              12 RETURN_VALUE
2022-11-23T01:32:37.2244547Z 
2022-11-23T01:32:37.2244608Z  
2022-11-23T01:32:37.2244790Z [2022-11-23 01:16:53,948] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2244865Z  - 
2022-11-23T01:32:37.2245016Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2245083Z             {
2022-11-23T01:32:37.2245211Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2245396Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2245516Z                 'obj_weakref': None
2022-11-23T01:32:37.2245740Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2245834Z             }
2022-11-23T01:32:37.2245901Z             
2022-11-23T01:32:37.2245972Z  - 
2022-11-23T01:32:37.2246083Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2246147Z             {
2022-11-23T01:32:37.2246293Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2246400Z                 'code': None,
2022-11-23T01:32:37.2246614Z                 'obj_weakref': <weakref at 0x7f70f2e3f650; to 'Tensor' at 0x7f7106a25a70>
2022-11-23T01:32:37.2246861Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2246929Z             }
2022-11-23T01:32:37.2246995Z             
2022-11-23T01:32:37.2247051Z  - 
2022-11-23T01:32:37.2253760Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2253867Z             {
2022-11-23T01:32:37.2254051Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2254230Z                 'code': ['___check_obj_id(model, 140123422977296)'],
2022-11-23T01:32:37.2254462Z                 'obj_weakref': <weakref at 0x7f70f2e3ab30; to 'Sequential' at 0x7f7106d9ed10>
2022-11-23T01:32:37.2254700Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2254753Z             }
2022-11-23T01:32:37.2254818Z             
2022-11-23T01:32:37.2254888Z  - 
2022-11-23T01:32:37.2255010Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2255074Z             {
2022-11-23T01:32:37.2255211Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2255433Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2255539Z                 'obj_weakref': None
2022-11-23T01:32:37.2255761Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2255824Z             }
2022-11-23T01:32:37.2255887Z             
2022-11-23T01:32:37.2255954Z  - 
2022-11-23T01:32:37.2256102Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2256166Z             {
2022-11-23T01:32:37.2256272Z                 'guard_types': None,
2022-11-23T01:32:37.2256378Z                 'code': None,
2022-11-23T01:32:37.2256495Z                 'obj_weakref': None
2022-11-23T01:32:37.2256615Z                 'guarded_class': None
2022-11-23T01:32:37.2256677Z             }
2022-11-23T01:32:37.2256740Z             
2022-11-23T01:32:37.2256795Z  - 
2022-11-23T01:32:37.2256939Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2257007Z             {
2022-11-23T01:32:37.2257123Z                 'guard_types': None,
2022-11-23T01:32:37.2257228Z                 'code': None,
2022-11-23T01:32:37.2257344Z                 'obj_weakref': None
2022-11-23T01:32:37.2257464Z                 'guarded_class': None
2022-11-23T01:32:37.2257514Z             }
2022-11-23T01:32:37.2257575Z             
2022-11-23T01:32:37.2257841Z [2022-11-23 01:16:54,000] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 90
2022-11-23T01:32:37.2258214Z [2022-11-23 01:16:56,580] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/57/c573ulvutyhff6c6whcfbdxldhlrx23zaz7waloqz4rotvb7warc.py
2022-11-23T01:32:37.2258476Z [2022-11-23 01:16:56,581] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 90
2022-11-23T01:32:37.2258712Z [2022-11-23 01:16:57,045] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2258981Z [2022-11-23 01:16:57,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2259281Z [2022-11-23 01:16:57,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2259527Z [2022-11-23 01:16:57,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2259825Z [2022-11-23 01:16:57,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2260145Z [2022-11-23 01:16:57,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2260394Z [2022-11-23 01:16:57,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2260630Z [2022-11-23 01:16:57,083] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2260883Z [2022-11-23 01:16:57,084] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2261133Z [2022-11-23 01:16:57,121] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2261322Z [2022-11-23 01:16:57,121] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2261456Z  __compiled_fn_92 <eval_with_key>.606 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2261549Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2261637Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2261740Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2261838Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2261844Z 
2022-11-23T01:32:37.2262121Z [2022-11-23 01:16:57,122] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2262217Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2262309Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2262405Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2262482Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2262559Z               8 RETURN_VALUE
2022-11-23T01:32:37.2262565Z 
2022-11-23T01:32:37.2262627Z  
2022-11-23T01:32:37.2262904Z [2022-11-23 01:16:57,122] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2263013Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_92)
2022-11-23T01:32:37.2263101Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2263189Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2263265Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2263340Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2263430Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2263505Z              12 RETURN_VALUE
2022-11-23T01:32:37.2263509Z 
2022-11-23T01:32:37.2263572Z  
2022-11-23T01:32:37.2263754Z [2022-11-23 01:16:57,123] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2263823Z  - 
2022-11-23T01:32:37.2263940Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2263991Z             {
2022-11-23T01:32:37.2264131Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2264318Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2264528Z                 'obj_weakref': None
2022-11-23T01:32:37.2264761Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2264826Z             }
2022-11-23T01:32:37.2264890Z             
2022-11-23T01:32:37.2264945Z  - 
2022-11-23T01:32:37.2265069Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2265134Z             {
2022-11-23T01:32:37.2265277Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2265388Z                 'code': None,
2022-11-23T01:32:37.2265597Z                 'obj_weakref': <weakref at 0x7f7106e15230; to 'Tensor' at 0x7f710673ecb0>
2022-11-23T01:32:37.2265878Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2265929Z             }
2022-11-23T01:32:37.2265994Z             
2022-11-23T01:32:37.2266062Z  - 
2022-11-23T01:32:37.2266182Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2266245Z             {
2022-11-23T01:32:37.2266407Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2266576Z                 'code': ['___check_obj_id(model, 140123422977296)'],
2022-11-23T01:32:37.2266777Z                 'obj_weakref': <weakref at 0x7f7106757890; to 'Sequential' at 0x7f7106d9ed10>
2022-11-23T01:32:37.2267011Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2267074Z             }
2022-11-23T01:32:37.2267136Z             
2022-11-23T01:32:37.2267203Z  - 
2022-11-23T01:32:37.2267327Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2267389Z             {
2022-11-23T01:32:37.2267512Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2267726Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2267843Z                 'obj_weakref': None
2022-11-23T01:32:37.2268059Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2268125Z             }
2022-11-23T01:32:37.2268188Z             
2022-11-23T01:32:37.2268255Z  - 
2022-11-23T01:32:37.2268386Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2268448Z             {
2022-11-23T01:32:37.2268567Z                 'guard_types': None,
2022-11-23T01:32:37.2268672Z                 'code': None,
2022-11-23T01:32:37.2268788Z                 'obj_weakref': None
2022-11-23T01:32:37.2268908Z                 'guarded_class': None
2022-11-23T01:32:37.2268970Z             }
2022-11-23T01:32:37.2269023Z             
2022-11-23T01:32:37.2269091Z  - 
2022-11-23T01:32:37.2269234Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2269296Z             {
2022-11-23T01:32:37.2269413Z                 'guard_types': None,
2022-11-23T01:32:37.2269519Z                 'code': None,
2022-11-23T01:32:37.2269634Z                 'obj_weakref': None
2022-11-23T01:32:37.2269742Z                 'guarded_class': None
2022-11-23T01:32:37.2269803Z             }
2022-11-23T01:32:37.2269868Z             
2022-11-23T01:32:37.2270123Z [2022-11-23 01:16:57,173] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 91
2022-11-23T01:32:37.2270129Z 
2022-11-23T01:32:37.2270133Z 
2022-11-23T01:32:37.2270225Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2270293Z import torch
2022-11-23T01:32:37.2270362Z import random
2022-11-23T01:32:37.2270466Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2270586Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2270593Z 
2022-11-23T01:32:37.2270670Z aten = torch.ops.aten
2022-11-23T01:32:37.2270804Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2270896Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2270901Z 
2022-11-23T01:32:37.2270905Z 
2022-11-23T01:32:37.2271036Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2271242Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2271359Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2271452Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2271555Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2271656Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2271756Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2271816Z {
2022-11-23T01:32:37.2271917Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2272015Z     {
2022-11-23T01:32:37.2272080Z         #pragma omp for 
2022-11-23T01:32:37.2272162Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.2272224Z         {
2022-11-23T01:32:37.2272309Z             for(long i1=0; i1<756; i1+=1)
2022-11-23T01:32:37.2272372Z             {
2022-11-23T01:32:37.2272531Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (12100*i0));
2022-11-23T01:32:37.2272683Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2272806Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2272917Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2273036Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2273169Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2273373Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2273463Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2273550Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2273648Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2273781Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2273855Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2273943Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2274036Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2274127Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2274235Z                 tmp14.store(in_out_ptr0 + (16*i1) + (12100*i0));
2022-11-23T01:32:37.2274299Z             }
2022-11-23T01:32:37.2274391Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2274468Z             for(long i1=12096; i1<12100; i1+=1)
2022-11-23T01:32:37.2274532Z             {
2022-11-23T01:32:37.2274634Z                 auto tmp0 = in_out_ptr0[i1 + (12100*i0)];
2022-11-23T01:32:37.2274722Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2274808Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2274894Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2274980Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2275094Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2275248Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2275337Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2275431Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2275513Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2275613Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2275697Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2275769Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2275859Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2275947Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2276045Z                 in_out_ptr0[i1 + (12100*i0)] = tmp14;
2022-11-23T01:32:37.2276109Z             }
2022-11-23T01:32:37.2276173Z         }
2022-11-23T01:32:37.2276235Z     }
2022-11-23T01:32:37.2276281Z }
2022-11-23T01:32:37.2276358Z ''')
2022-11-23T01:32:37.2276363Z 
2022-11-23T01:32:37.2276367Z 
2022-11-23T01:32:37.2276455Z async_compile.wait(globals())
2022-11-23T01:32:37.2276532Z del async_compile
2022-11-23T01:32:37.2276537Z 
2022-11-23T01:32:37.2276606Z def call(args):
2022-11-23T01:32:37.2276727Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.2276798Z     args.clear()
2022-11-23T01:32:37.2276924Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4)
2022-11-23T01:32:37.2277038Z     assert_size_stride(buf0, (1, 128, 110, 110), (1548800, 12100, 110, 1))
2022-11-23T01:32:37.2277232Z     del arg0_1
2022-11-23T01:32:37.2277301Z     del arg1_1
2022-11-23T01:32:37.2277367Z     del arg7_1
2022-11-23T01:32:37.2277554Z     buf1 = as_strided(buf0, (1, 128, 110, 110), (1548800, 12100, 110, 1)); del buf0  # reuse
2022-11-23T01:32:37.2277769Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.2277841Z     del arg2_1
2022-11-23T01:32:37.2277893Z     del arg3_1
2022-11-23T01:32:37.2277960Z     del arg4_1
2022-11-23T01:32:37.2278029Z     del arg5_1
2022-11-23T01:32:37.2278134Z     return (buf1, )
2022-11-23T01:32:37.2278139Z 
2022-11-23T01:32:37.2278144Z 
2022-11-23T01:32:37.2278222Z if __name__ == "__main__":
2022-11-23T01:32:37.2278339Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2278463Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2278672Z     arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2278869Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2279063Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2279254Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2279440Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2279627Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2279807Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2280032Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2280174Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.2280193Z 
2022-11-23T01:32:37.2280198Z 
2022-11-23T01:32:37.2280278Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2280349Z import torch
2022-11-23T01:32:37.2280419Z import random
2022-11-23T01:32:37.2280537Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2280659Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2280663Z 
2022-11-23T01:32:37.2280744Z aten = torch.ops.aten
2022-11-23T01:32:37.2280881Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2280960Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2280979Z 
2022-11-23T01:32:37.2280983Z 
2022-11-23T01:32:37.2281103Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2281310Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2281431Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2281531Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.2281594Z {
2022-11-23T01:32:37.2281692Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2281755Z     {
2022-11-23T01:32:37.2281818Z         #pragma omp for 
2022-11-23T01:32:37.2281902Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.2281969Z         {
2022-11-23T01:32:37.2282049Z             #pragma GCC ivdep
2022-11-23T01:32:37.2282132Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:37.2282196Z             {
2022-11-23T01:32:37.2282279Z                 #pragma GCC ivdep
2022-11-23T01:32:37.2282356Z                 for(long i2=0; i2<9; i2+=1)
2022-11-23T01:32:37.2282421Z                 {
2022-11-23T01:32:37.2282488Z                     {
2022-11-23T01:32:37.2282558Z                         {
2022-11-23T01:32:37.2282672Z                             auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)];
2022-11-23T01:32:37.2282780Z                             out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0;
2022-11-23T01:32:37.2282849Z                         }
2022-11-23T01:32:37.2282902Z                     }
2022-11-23T01:32:37.2282966Z                 }
2022-11-23T01:32:37.2283031Z             }
2022-11-23T01:32:37.2283096Z         }
2022-11-23T01:32:37.2283161Z     }
2022-11-23T01:32:37.2283221Z }
2022-11-23T01:32:37.2283317Z ''')
2022-11-23T01:32:37.2283323Z 
2022-11-23T01:32:37.2283340Z 
2022-11-23T01:32:37.2283462Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.2283664Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2283780Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2283887Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2284017Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2284118Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2284219Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2284266Z {
2022-11-23T01:32:37.2284363Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2284426Z     {
2022-11-23T01:32:37.2284503Z         #pragma omp for 
2022-11-23T01:32:37.2284586Z         for(long i0=0; i0<12100; i0+=1)
2022-11-23T01:32:37.2284648Z         {
2022-11-23T01:32:37.2284731Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:37.2284781Z             {
2022-11-23T01:32:37.2284932Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (128*i0));
2022-11-23T01:32:37.2285065Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i1);
2022-11-23T01:32:37.2285196Z                 auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i1);
2022-11-23T01:32:37.2285332Z                 auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr2 + 16*i1);
2022-11-23T01:32:37.2285465Z                 auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr3 + 16*i1);
2022-11-23T01:32:37.2285598Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2285803Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2285879Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2285968Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2286070Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2286205Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2286291Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2286379Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2286469Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2286557Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2286654Z                 tmp14.store(in_out_ptr0 + (16*i1) + (128*i0));
2022-11-23T01:32:37.2286718Z             }
2022-11-23T01:32:37.2286811Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2286900Z             for(long i1=128; i1<128; i1+=1)
2022-11-23T01:32:37.2286963Z             {
2022-11-23T01:32:37.2287062Z                 auto tmp0 = in_out_ptr0[i1 + (128*i0)];
2022-11-23T01:32:37.2287148Z                 auto tmp1 = in_ptr0[i1];
2022-11-23T01:32:37.2287220Z                 auto tmp3 = in_ptr1[i1];
2022-11-23T01:32:37.2287308Z                 auto tmp11 = in_ptr2[i1];
2022-11-23T01:32:37.2287396Z                 auto tmp13 = in_ptr3[i1];
2022-11-23T01:32:37.2287522Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2287678Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2287763Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2287857Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2287925Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2288027Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2288111Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2288198Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2288286Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2288374Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2288468Z                 in_out_ptr0[i1 + (128*i0)] = tmp14;
2022-11-23T01:32:37.2288518Z             }
2022-11-23T01:32:37.2288580Z         }
2022-11-23T01:32:37.2288675Z     }
2022-11-23T01:32:37.2288734Z }
2022-11-23T01:32:37.2288811Z ''')
2022-11-23T01:32:37.2288816Z 
2022-11-23T01:32:37.2288820Z 
2022-11-23T01:32:37.2288909Z async_compile.wait(globals())
2022-11-23T01:32:37.2288981Z del async_compile
2022-11-23T01:32:37.2288986Z 
2022-11-23T01:32:37.2289043Z def call(args):
2022-11-23T01:32:37.2289161Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.2289232Z     args.clear()
2022-11-23T01:32:37.2289470Z     buf0 = empty_strided((128, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2289605Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.2289672Z     del arg0_1
2022-11-23T01:32:37.2289806Z     buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4)
2022-11-23T01:32:37.2289917Z     assert_size_stride(buf1, (1, 128, 110, 110), (1548800, 1, 14080, 128))
2022-11-23T01:32:37.2289972Z     del arg1_1
2022-11-23T01:32:37.2290041Z     del arg7_1
2022-11-23T01:32:37.2290105Z     del buf0
2022-11-23T01:32:37.2290228Z     buf2 = as_strided(buf1, (1, 128, 110, 110), (1548800, 1, 14080, 128)); del buf1  # reuse
2022-11-23T01:32:37.2290436Z     kernel_cpp_1(c_void_p(buf2.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.2290504Z     del arg2_1
2022-11-23T01:32:37.2290569Z     del arg3_1
2022-11-23T01:32:37.2290622Z     del arg4_1
2022-11-23T01:32:37.2290689Z     del arg5_1
2022-11-23T01:32:37.2290760Z     return (buf2, )
2022-11-23T01:32:37.2290765Z 
2022-11-23T01:32:37.2290770Z 
2022-11-23T01:32:37.2290845Z if __name__ == "__main__":
2022-11-23T01:32:37.2290957Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2291079Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2291291Z     arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2291475Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2291666Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2291853Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2292042Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2292232Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2292412Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2292636Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2292790Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.2293151Z [2022-11-23 01:16:59,864] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7b/c7blrisj6f2vi45he3m66qfhd3k5ksbd75372jcbg2cfy5xjl7qc.py
2022-11-23T01:32:37.2293407Z [2022-11-23 01:16:59,865] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 91
2022-11-23T01:32:37.2293644Z [2022-11-23 01:17:00,302] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2293910Z [2022-11-23 01:17:00,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2294127Z [2022-11-23 01:17:00,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2294370Z [2022-11-23 01:17:00,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2294644Z [2022-11-23 01:17:00,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2294958Z [2022-11-23 01:17:00,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2295239Z [2022-11-23 01:17:00,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2295472Z [2022-11-23 01:17:00,337] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2295711Z [2022-11-23 01:17:00,338] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2296001Z [2022-11-23 01:17:00,370] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2296195Z [2022-11-23 01:17:00,370] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2296328Z  __compiled_fn_93 <eval_with_key>.612 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2296419Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2296520Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2296623Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2296722Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2296730Z 
2022-11-23T01:32:37.2296994Z [2022-11-23 01:17:00,371] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2297087Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2297177Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2297267Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2297359Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2297434Z               8 RETURN_VALUE
2022-11-23T01:32:37.2297439Z 
2022-11-23T01:32:37.2297500Z  
2022-11-23T01:32:37.2297772Z [2022-11-23 01:17:00,371] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2297865Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_93)
2022-11-23T01:32:37.2297953Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2298044Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2298124Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2298217Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2298309Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2298384Z              12 RETURN_VALUE
2022-11-23T01:32:37.2298390Z 
2022-11-23T01:32:37.2298435Z  
2022-11-23T01:32:37.2298617Z [2022-11-23 01:17:00,372] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2298686Z  - 
2022-11-23T01:32:37.2298804Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2298869Z             {
2022-11-23T01:32:37.2299007Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2299191Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2299296Z                 'obj_weakref': None
2022-11-23T01:32:37.2299517Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2299581Z             }
2022-11-23T01:32:37.2299646Z             
2022-11-23T01:32:37.2299713Z  - 
2022-11-23T01:32:37.2299838Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2299901Z             {
2022-11-23T01:32:37.2300029Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2300134Z                 'code': None,
2022-11-23T01:32:37.2300342Z                 'obj_weakref': <weakref at 0x7f71069bf830; to 'Tensor' at 0x7f7106993ef0>
2022-11-23T01:32:37.2300591Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2300655Z             }
2022-11-23T01:32:37.2300718Z             
2022-11-23T01:32:37.2300786Z  - 
2022-11-23T01:32:37.2300890Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2300953Z             {
2022-11-23T01:32:37.2301086Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2301253Z                 'code': ['___check_obj_id(model, 140123420839568)'],
2022-11-23T01:32:37.2301466Z                 'obj_weakref': <weakref at 0x7f71070c28f0; to 'Sequential' at 0x7f7106b94e90>
2022-11-23T01:32:37.2301727Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2301790Z             }
2022-11-23T01:32:37.2301856Z             
2022-11-23T01:32:37.2301912Z  - 
2022-11-23T01:32:37.2302034Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2302096Z             {
2022-11-23T01:32:37.2302230Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2302473Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2302591Z                 'obj_weakref': None
2022-11-23T01:32:37.2302808Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2302859Z             }
2022-11-23T01:32:37.2302922Z             
2022-11-23T01:32:37.2302990Z  - 
2022-11-23T01:32:37.2303133Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2303198Z             {
2022-11-23T01:32:37.2303316Z                 'guard_types': None,
2022-11-23T01:32:37.2303409Z                 'code': None,
2022-11-23T01:32:37.2303525Z                 'obj_weakref': None
2022-11-23T01:32:37.2303643Z                 'guarded_class': None
2022-11-23T01:32:37.2303706Z             }
2022-11-23T01:32:37.2303769Z             
2022-11-23T01:32:37.2303838Z  - 
2022-11-23T01:32:37.2303980Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2304033Z             {
2022-11-23T01:32:37.2304151Z                 'guard_types': None,
2022-11-23T01:32:37.2304257Z                 'code': None,
2022-11-23T01:32:37.2304373Z                 'obj_weakref': None
2022-11-23T01:32:37.2304573Z                 'guarded_class': None
2022-11-23T01:32:37.2304639Z             }
2022-11-23T01:32:37.2304702Z             
2022-11-23T01:32:37.2304951Z [2022-11-23 01:17:00,422] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 92
2022-11-23T01:32:37.2305320Z [2022-11-23 01:17:02,999] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xt/cxtowzje35mmrvfly6bl2by4lqlew2tfz543fwft6tddxws6rxuu.py
2022-11-23T01:32:37.2305585Z [2022-11-23 01:17:03,000] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 92
2022-11-23T01:32:37.2305823Z [2022-11-23 01:17:03,159] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2306092Z [2022-11-23 01:17:03,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2306307Z [2022-11-23 01:17:03,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2306550Z [2022-11-23 01:17:03,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2306831Z [2022-11-23 01:17:03,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2307150Z [2022-11-23 01:17:03,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2307384Z [2022-11-23 01:17:03,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2307619Z [2022-11-23 01:17:03,196] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2307875Z [2022-11-23 01:17:03,198] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2308122Z [2022-11-23 01:17:03,230] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2308309Z [2022-11-23 01:17:03,231] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2308442Z  __compiled_fn_94 <eval_with_key>.618 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2308531Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2308629Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2308753Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2308854Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2308859Z 
2022-11-23T01:32:37.2309134Z [2022-11-23 01:17:03,231] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2309230Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2309361Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2309453Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2309542Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2309618Z               8 RETURN_VALUE
2022-11-23T01:32:37.2309624Z 
2022-11-23T01:32:37.2309671Z  
2022-11-23T01:32:37.2309943Z [2022-11-23 01:17:03,231] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2310051Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_94)
2022-11-23T01:32:37.2310144Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2310235Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2310313Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2310405Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2310497Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2310559Z              12 RETURN_VALUE
2022-11-23T01:32:37.2310564Z 
2022-11-23T01:32:37.2310624Z  
2022-11-23T01:32:37.2310808Z [2022-11-23 01:17:03,233] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2310876Z  - 
2022-11-23T01:32:37.2310993Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2311056Z             {
2022-11-23T01:32:37.2311196Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2311368Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2311486Z                 'obj_weakref': None
2022-11-23T01:32:37.2311708Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2311775Z             }
2022-11-23T01:32:37.2311838Z             
2022-11-23T01:32:37.2311906Z  - 
2022-11-23T01:32:37.2312028Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2312078Z             {
2022-11-23T01:32:37.2312220Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2312325Z                 'code': None,
2022-11-23T01:32:37.2312534Z                 'obj_weakref': <weakref at 0x7f7106df0290; to 'Tensor' at 0x7f71069bf890>
2022-11-23T01:32:37.2312781Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2312844Z             }
2022-11-23T01:32:37.2312906Z             
2022-11-23T01:32:37.2312961Z  - 
2022-11-23T01:32:37.2313081Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2313144Z             {
2022-11-23T01:32:37.2313278Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2313448Z                 'code': ['___check_obj_id(model, 140123420839568)'],
2022-11-23T01:32:37.2313662Z                 'obj_weakref': <weakref at 0x7f71070c28f0; to 'Sequential' at 0x7f7106b94e90>
2022-11-23T01:32:37.2313893Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2313943Z             }
2022-11-23T01:32:37.2314005Z             
2022-11-23T01:32:37.2314072Z  - 
2022-11-23T01:32:37.2314197Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2314262Z             {
2022-11-23T01:32:37.2314395Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2314609Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2314712Z                 'obj_weakref': None
2022-11-23T01:32:37.2314928Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2314991Z             }
2022-11-23T01:32:37.2315084Z             
2022-11-23T01:32:37.2315152Z  - 
2022-11-23T01:32:37.2315296Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2315359Z             {
2022-11-23T01:32:37.2315465Z                 'guard_types': None,
2022-11-23T01:32:37.2315569Z                 'code': None,
2022-11-23T01:32:37.2315686Z                 'obj_weakref': None
2022-11-23T01:32:37.2315806Z                 'guarded_class': None
2022-11-23T01:32:37.2315868Z             }
2022-11-23T01:32:37.2315958Z             
2022-11-23T01:32:37.2316025Z  - 
2022-11-23T01:32:37.2316155Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2316216Z             {
2022-11-23T01:32:37.2316333Z                 'guard_types': None,
2022-11-23T01:32:37.2316438Z                 'code': None,
2022-11-23T01:32:37.2316553Z                 'obj_weakref': None
2022-11-23T01:32:37.2316671Z                 'guarded_class': None
2022-11-23T01:32:37.2316721Z             }
2022-11-23T01:32:37.2316782Z             
2022-11-23T01:32:37.2317046Z [2022-11-23 01:17:03,291] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 93
2022-11-23T01:32:37.2317052Z 
2022-11-23T01:32:37.2317056Z 
2022-11-23T01:32:37.2317255Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2317325Z import torch
2022-11-23T01:32:37.2317394Z import random
2022-11-23T01:32:37.2317511Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2317634Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2317642Z 
2022-11-23T01:32:37.2317706Z aten = torch.ops.aten
2022-11-23T01:32:37.2317840Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2317933Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2317938Z 
2022-11-23T01:32:37.2317942Z 
2022-11-23T01:32:37.2318081Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2318290Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2318408Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2318516Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2318621Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2318709Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2318812Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2318874Z {
2022-11-23T01:32:37.2318972Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2319036Z     {
2022-11-23T01:32:37.2319113Z         #pragma omp for 
2022-11-23T01:32:37.2319196Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.2319247Z         {
2022-11-23T01:32:37.2319335Z             for(long i1=0; i1<729; i1+=1)
2022-11-23T01:32:37.2319399Z             {
2022-11-23T01:32:37.2319558Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (11664*i0));
2022-11-23T01:32:37.2319685Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2319809Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2319935Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2320056Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2320174Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2320379Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2320471Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2320559Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2320659Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2320794Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2320881Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2320971Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2321050Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2321204Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2321315Z                 tmp14.store(in_out_ptr0 + (16*i1) + (11664*i0));
2022-11-23T01:32:37.2321383Z             }
2022-11-23T01:32:37.2321476Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2321567Z             for(long i1=11664; i1<11664; i1+=1)
2022-11-23T01:32:37.2321632Z             {
2022-11-23T01:32:37.2321720Z                 auto tmp0 = in_out_ptr0[i1 + (11664*i0)];
2022-11-23T01:32:37.2321843Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2321930Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2322020Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2322108Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2322241Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2322398Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2322470Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2322567Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2322653Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2322753Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2322840Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2322927Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2323018Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2323095Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2323192Z                 in_out_ptr0[i1 + (11664*i0)] = tmp14;
2022-11-23T01:32:37.2323254Z             }
2022-11-23T01:32:37.2323318Z         }
2022-11-23T01:32:37.2323381Z     }
2022-11-23T01:32:37.2323441Z }
2022-11-23T01:32:37.2323519Z ''')
2022-11-23T01:32:37.2323524Z 
2022-11-23T01:32:37.2323528Z 
2022-11-23T01:32:37.2323603Z async_compile.wait(globals())
2022-11-23T01:32:37.2323674Z del async_compile
2022-11-23T01:32:37.2323679Z 
2022-11-23T01:32:37.2323749Z def call(args):
2022-11-23T01:32:37.2323868Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.2323942Z     args.clear()
2022-11-23T01:32:37.2324078Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1)
2022-11-23T01:32:37.2324190Z     assert_size_stride(buf0, (1, 32, 108, 108), (373248, 11664, 108, 1))
2022-11-23T01:32:37.2324245Z     del arg0_1
2022-11-23T01:32:37.2324312Z     del arg1_1
2022-11-23T01:32:37.2324377Z     del arg7_1
2022-11-23T01:32:37.2324501Z     buf1 = as_strided(buf0, (1, 32, 108, 108), (373248, 11664, 108, 1)); del buf0  # reuse
2022-11-23T01:32:37.2324715Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.2324781Z     del arg2_1
2022-11-23T01:32:37.2324846Z     del arg3_1
2022-11-23T01:32:37.2324910Z     del arg4_1
2022-11-23T01:32:37.2324963Z     del arg5_1
2022-11-23T01:32:37.2325033Z     return (buf1, )
2022-11-23T01:32:37.2325038Z 
2022-11-23T01:32:37.2325044Z 
2022-11-23T01:32:37.2325118Z if __name__ == "__main__":
2022-11-23T01:32:37.2325231Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2325353Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2325566Z     arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2325759Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2325938Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2326126Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2326312Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2326497Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2326674Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2326898Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2327086Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.2327092Z 
2022-11-23T01:32:37.2327096Z 
2022-11-23T01:32:37.2327188Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2327257Z import torch
2022-11-23T01:32:37.2327315Z import random
2022-11-23T01:32:37.2327459Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2327579Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2327584Z 
2022-11-23T01:32:37.2327661Z aten = torch.ops.aten
2022-11-23T01:32:37.2327794Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2327884Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2327889Z 
2022-11-23T01:32:37.2327893Z 
2022-11-23T01:32:37.2328026Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2328232Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2328338Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2328437Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.2328497Z {
2022-11-23T01:32:37.2328593Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2328654Z     {
2022-11-23T01:32:37.2328728Z         #pragma omp for 
2022-11-23T01:32:37.2328810Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.2328861Z         {
2022-11-23T01:32:37.2328940Z             #pragma GCC ivdep
2022-11-23T01:32:37.2329024Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:37.2329087Z             {
2022-11-23T01:32:37.2329170Z                 #pragma GCC ivdep
2022-11-23T01:32:37.2329259Z                 for(long i2=0; i2<9; i2+=1)
2022-11-23T01:32:37.2329324Z                 {
2022-11-23T01:32:37.2329379Z                     {
2022-11-23T01:32:37.2329447Z                         {
2022-11-23T01:32:37.2329555Z                             auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)];
2022-11-23T01:32:37.2329661Z                             out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0;
2022-11-23T01:32:37.2329729Z                         }
2022-11-23T01:32:37.2329794Z                     }
2022-11-23T01:32:37.2329845Z                 }
2022-11-23T01:32:37.2329907Z             }
2022-11-23T01:32:37.2329967Z         }
2022-11-23T01:32:37.2330028Z     }
2022-11-23T01:32:37.2330087Z }
2022-11-23T01:32:37.2330163Z ''')
2022-11-23T01:32:37.2330170Z 
2022-11-23T01:32:37.2330174Z 
2022-11-23T01:32:37.2330305Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.2330508Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2330610Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2330713Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2330814Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2330916Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2331016Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2331076Z {
2022-11-23T01:32:37.2331171Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2331220Z     {
2022-11-23T01:32:37.2331296Z         #pragma omp for 
2022-11-23T01:32:37.2331378Z         for(long i0=0; i0<11664; i0+=1)
2022-11-23T01:32:37.2331440Z         {
2022-11-23T01:32:37.2331523Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:37.2331585Z             {
2022-11-23T01:32:37.2331731Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (32*i0));
2022-11-23T01:32:37.2331851Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i1);
2022-11-23T01:32:37.2331985Z                 auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i1);
2022-11-23T01:32:37.2332121Z                 auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr2 + 16*i1);
2022-11-23T01:32:37.2332285Z                 auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr3 + 16*i1);
2022-11-23T01:32:37.2332417Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2332621Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2332707Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2332793Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2332881Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2333041Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2333126Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2333214Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2333306Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2333395Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2333502Z                 tmp14.store(in_out_ptr0 + (16*i1) + (32*i0));
2022-11-23T01:32:37.2333566Z             }
2022-11-23T01:32:37.2333647Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2333731Z             for(long i1=32; i1<32; i1+=1)
2022-11-23T01:32:37.2333797Z             {
2022-11-23T01:32:37.2333898Z                 auto tmp0 = in_out_ptr0[i1 + (32*i0)];
2022-11-23T01:32:37.2333983Z                 auto tmp1 = in_ptr0[i1];
2022-11-23T01:32:37.2334068Z                 auto tmp3 = in_ptr1[i1];
2022-11-23T01:32:37.2334154Z                 auto tmp11 = in_ptr2[i1];
2022-11-23T01:32:37.2334230Z                 auto tmp13 = in_ptr3[i1];
2022-11-23T01:32:37.2334356Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2334510Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2334595Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2334690Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2334770Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2334869Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2334943Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2335029Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2335118Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2335206Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2335298Z                 in_out_ptr0[i1 + (32*i0)] = tmp14;
2022-11-23T01:32:37.2335362Z             }
2022-11-23T01:32:37.2335424Z         }
2022-11-23T01:32:37.2335472Z     }
2022-11-23T01:32:37.2335530Z }
2022-11-23T01:32:37.2335609Z ''')
2022-11-23T01:32:37.2335614Z 
2022-11-23T01:32:37.2335619Z 
2022-11-23T01:32:37.2335707Z async_compile.wait(globals())
2022-11-23T01:32:37.2335779Z del async_compile
2022-11-23T01:32:37.2335784Z 
2022-11-23T01:32:37.2335853Z def call(args):
2022-11-23T01:32:37.2335971Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.2336030Z     args.clear()
2022-11-23T01:32:37.2336239Z     buf0 = empty_strided((32, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2336374Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.2336440Z     del arg0_1
2022-11-23T01:32:37.2336574Z     buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1)
2022-11-23T01:32:37.2336684Z     assert_size_stride(buf1, (1, 32, 108, 108), (373248, 1, 3456, 32))
2022-11-23T01:32:37.2336751Z     del arg1_1
2022-11-23T01:32:37.2336804Z     del arg7_1
2022-11-23T01:32:37.2336869Z     del buf0
2022-11-23T01:32:37.2336990Z     buf2 = as_strided(buf1, (1, 32, 108, 108), (373248, 1, 3456, 32)); del buf1  # reuse
2022-11-23T01:32:37.2337201Z     kernel_cpp_1(c_void_p(buf2.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.2337267Z     del arg2_1
2022-11-23T01:32:37.2337333Z     del arg3_1
2022-11-23T01:32:37.2337399Z     del arg4_1
2022-11-23T01:32:37.2337450Z     del arg5_1
2022-11-23T01:32:37.2337521Z     return (buf2, )
2022-11-23T01:32:37.2337557Z 
2022-11-23T01:32:37.2337561Z 
2022-11-23T01:32:37.2337637Z if __name__ == "__main__":
2022-11-23T01:32:37.2337753Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2337874Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2338087Z     arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2338319Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2338509Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2338696Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2338868Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2339050Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2339226Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2339446Z     arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2339602Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.2339962Z [2022-11-23 01:17:05,842] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h4/ch4346slvtqtcel5f42uirb3ql6ey74kmyfagt2lhudcd2fkr3gq.py
2022-11-23T01:32:37.2340226Z [2022-11-23 01:17:05,843] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 93
2022-11-23T01:32:37.2340463Z [2022-11-23 01:17:06,013] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2340714Z [2022-11-23 01:17:06,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2340931Z [2022-11-23 01:17:06,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2341179Z [2022-11-23 01:17:06,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2341456Z [2022-11-23 01:17:06,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2341773Z [2022-11-23 01:17:06,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2342022Z [2022-11-23 01:17:06,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2342258Z [2022-11-23 01:17:06,048] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2342510Z [2022-11-23 01:17:06,050] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2342761Z [2022-11-23 01:17:06,082] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2342950Z [2022-11-23 01:17:06,083] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2343073Z  __compiled_fn_95 <eval_with_key>.624 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2343163Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2343264Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2343364Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2343463Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2343467Z 
2022-11-23T01:32:37.2343746Z [2022-11-23 01:17:06,083] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2343840Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2343916Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2344006Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2344095Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2344171Z               8 RETURN_VALUE
2022-11-23T01:32:37.2344206Z 
2022-11-23T01:32:37.2344268Z  
2022-11-23T01:32:37.2344632Z [2022-11-23 01:17:06,083] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2344742Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_95)
2022-11-23T01:32:37.2344832Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2344909Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2344986Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2345112Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2345205Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2345281Z              12 RETURN_VALUE
2022-11-23T01:32:37.2345286Z 
2022-11-23T01:32:37.2345347Z  
2022-11-23T01:32:37.2345550Z [2022-11-23 01:17:06,085] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2345605Z  - 
2022-11-23T01:32:37.2345725Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2345789Z             {
2022-11-23T01:32:37.2345931Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2346117Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2346234Z                 'obj_weakref': None
2022-11-23T01:32:37.2346458Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2346510Z             }
2022-11-23T01:32:37.2346575Z             
2022-11-23T01:32:37.2346644Z  - 
2022-11-23T01:32:37.2346770Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2346835Z             {
2022-11-23T01:32:37.2346978Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2347085Z                 'code': None,
2022-11-23T01:32:37.2347281Z                 'obj_weakref': <weakref at 0x7f70f2e3f770; to 'Tensor' at 0x7f7106993950>
2022-11-23T01:32:37.2347531Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2347597Z             }
2022-11-23T01:32:37.2347659Z             
2022-11-23T01:32:37.2347727Z  - 
2022-11-23T01:32:37.2347846Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2347911Z             {
2022-11-23T01:32:37.2348032Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2348200Z                 'code': ['___check_obj_id(model, 140123913811088)'],
2022-11-23T01:32:37.2348411Z                 'obj_weakref': <weakref at 0x7f7106e15530; to 'Sequential' at 0x7f71241b7490>
2022-11-23T01:32:37.2348647Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2348710Z             }
2022-11-23T01:32:37.2348772Z             
2022-11-23T01:32:37.2348840Z  - 
2022-11-23T01:32:37.2348949Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2349012Z             {
2022-11-23T01:32:37.2349145Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2349361Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2349480Z                 'obj_weakref': None
2022-11-23T01:32:37.2349698Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2349760Z             }
2022-11-23T01:32:37.2349809Z             
2022-11-23T01:32:37.2349877Z  - 
2022-11-23T01:32:37.2350022Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2350085Z             {
2022-11-23T01:32:37.2350206Z                 'guard_types': None,
2022-11-23T01:32:37.2350310Z                 'code': None,
2022-11-23T01:32:37.2350425Z                 'obj_weakref': None
2022-11-23T01:32:37.2350532Z                 'guarded_class': None
2022-11-23T01:32:37.2350595Z             }
2022-11-23T01:32:37.2350660Z             
2022-11-23T01:32:37.2350728Z  - 
2022-11-23T01:32:37.2350873Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2350937Z             {
2022-11-23T01:32:37.2351054Z                 'guard_types': None,
2022-11-23T01:32:37.2351176Z                 'code': None,
2022-11-23T01:32:37.2351294Z                 'obj_weakref': None
2022-11-23T01:32:37.2351412Z                 'guarded_class': None
2022-11-23T01:32:37.2351476Z             }
2022-11-23T01:32:37.2351539Z             
2022-11-23T01:32:37.2351798Z [2022-11-23 01:17:06,146] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 94
2022-11-23T01:32:37.2352193Z [2022-11-23 01:17:08,700] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/my/cmybvgv7z7cjrwgzg6gwg7ab4zfwuurggj2mf2wozmuqh3l6j7av.py
2022-11-23T01:32:37.2352442Z [2022-11-23 01:17:08,700] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 94
2022-11-23T01:32:37.2352677Z [2022-11-23 01:17:09,190] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2352940Z [2022-11-23 01:17:09,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2353160Z [2022-11-23 01:17:09,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2353404Z [2022-11-23 01:17:09,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2353679Z [2022-11-23 01:17:09,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2353996Z [2022-11-23 01:17:09,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2354241Z [2022-11-23 01:17:09,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2354474Z [2022-11-23 01:17:09,226] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2354724Z [2022-11-23 01:17:09,227] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2354962Z [2022-11-23 01:17:09,258] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2355148Z [2022-11-23 01:17:09,259] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2355283Z  __compiled_fn_96 <eval_with_key>.630 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2355373Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2355475Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2355579Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2355677Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2355683Z 
2022-11-23T01:32:37.2355958Z [2022-11-23 01:17:09,259] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2356039Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2356131Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2356223Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2356318Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2356395Z               8 RETURN_VALUE
2022-11-23T01:32:37.2356400Z 
2022-11-23T01:32:37.2356463Z  
2022-11-23T01:32:37.2356737Z [2022-11-23 01:17:09,260] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2356829Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_96)
2022-11-23T01:32:37.2356921Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2357011Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2357089Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2357300Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2357395Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2357470Z              12 RETURN_VALUE
2022-11-23T01:32:37.2357475Z 
2022-11-23T01:32:37.2357536Z  
2022-11-23T01:32:37.2357707Z [2022-11-23 01:17:09,261] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2357826Z  - 
2022-11-23T01:32:37.2357944Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2358008Z             {
2022-11-23T01:32:37.2358152Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2358339Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2358459Z                 'obj_weakref': None
2022-11-23T01:32:37.2358702Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2358771Z             }
2022-11-23T01:32:37.2358836Z             
2022-11-23T01:32:37.2358909Z  - 
2022-11-23T01:32:37.2359031Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2359095Z             {
2022-11-23T01:32:37.2359239Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2359331Z                 'code': None,
2022-11-23T01:32:37.2359540Z                 'obj_weakref': <weakref at 0x7f7106de8770; to 'Tensor' at 0x7f70f2e3a0b0>
2022-11-23T01:32:37.2359792Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2359857Z             }
2022-11-23T01:32:37.2359923Z             
2022-11-23T01:32:37.2359991Z  - 
2022-11-23T01:32:37.2360108Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2360158Z             {
2022-11-23T01:32:37.2360290Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2360459Z                 'code': ['___check_obj_id(model, 140123913811088)'],
2022-11-23T01:32:37.2360672Z                 'obj_weakref': <weakref at 0x7f7106e15530; to 'Sequential' at 0x7f71241b7490>
2022-11-23T01:32:37.2360904Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2360967Z             }
2022-11-23T01:32:37.2361028Z             
2022-11-23T01:32:37.2361084Z  - 
2022-11-23T01:32:37.2361204Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2361267Z             {
2022-11-23T01:32:37.2361404Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2361621Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2361737Z                 'obj_weakref': None
2022-11-23T01:32:37.2361954Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2362005Z             }
2022-11-23T01:32:37.2362067Z             
2022-11-23T01:32:37.2362134Z  - 
2022-11-23T01:32:37.2362280Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2362344Z             {
2022-11-23T01:32:37.2362460Z                 'guard_types': None,
2022-11-23T01:32:37.2362565Z                 'code': None,
2022-11-23T01:32:37.2362669Z                 'obj_weakref': None
2022-11-23T01:32:37.2362787Z                 'guarded_class': None
2022-11-23T01:32:37.2362848Z             }
2022-11-23T01:32:37.2362910Z             
2022-11-23T01:32:37.2362978Z  - 
2022-11-23T01:32:37.2363121Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2363173Z             {
2022-11-23T01:32:37.2363291Z                 'guard_types': None,
2022-11-23T01:32:37.2363395Z                 'code': None,
2022-11-23T01:32:37.2363510Z                 'obj_weakref': None
2022-11-23T01:32:37.2363629Z                 'guarded_class': None
2022-11-23T01:32:37.2363690Z             }
2022-11-23T01:32:37.2363753Z             
2022-11-23T01:32:37.2363999Z [2022-11-23 01:17:09,313] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 95
2022-11-23T01:32:37.2364017Z 
2022-11-23T01:32:37.2364022Z 
2022-11-23T01:32:37.2364105Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2364173Z import torch
2022-11-23T01:32:37.2364241Z import random
2022-11-23T01:32:37.2364355Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2364475Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2364480Z 
2022-11-23T01:32:37.2364556Z aten = torch.ops.aten
2022-11-23T01:32:37.2364722Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2364801Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2364805Z 
2022-11-23T01:32:37.2364823Z 
2022-11-23T01:32:37.2364942Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2365149Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2365264Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2365395Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2365499Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2365601Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2365701Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2365749Z {
2022-11-23T01:32:37.2365846Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2365907Z     {
2022-11-23T01:32:37.2365983Z         #pragma omp for 
2022-11-23T01:32:37.2366067Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.2366129Z         {
2022-11-23T01:32:37.2366216Z             for(long i1=0; i1<729; i1+=1)
2022-11-23T01:32:37.2366266Z             {
2022-11-23T01:32:37.2366418Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (11664*i0));
2022-11-23T01:32:37.2366542Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2366665Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2366790Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2366910Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2367041Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2367245Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2367320Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2367406Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2367509Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2367643Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2367730Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2367817Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2367908Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2367997Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2368094Z                 tmp14.store(in_out_ptr0 + (16*i1) + (11664*i0));
2022-11-23T01:32:37.2368158Z             }
2022-11-23T01:32:37.2368249Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2368339Z             for(long i1=11664; i1<11664; i1+=1)
2022-11-23T01:32:37.2368403Z             {
2022-11-23T01:32:37.2368504Z                 auto tmp0 = in_out_ptr0[i1 + (11664*i0)];
2022-11-23T01:32:37.2368589Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2368661Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2368750Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2368838Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2368964Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2369117Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2369202Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2369296Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2369367Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2369465Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2369550Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2369636Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2369726Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2369816Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2369911Z                 in_out_ptr0[i1 + (11664*i0)] = tmp14;
2022-11-23T01:32:37.2369961Z             }
2022-11-23T01:32:37.2370056Z         }
2022-11-23T01:32:37.2370117Z     }
2022-11-23T01:32:37.2370177Z }
2022-11-23T01:32:37.2370254Z ''')
2022-11-23T01:32:37.2370260Z 
2022-11-23T01:32:37.2370264Z 
2022-11-23T01:32:37.2370353Z async_compile.wait(globals())
2022-11-23T01:32:37.2370425Z del async_compile
2022-11-23T01:32:37.2370430Z 
2022-11-23T01:32:37.2370487Z def call(args):
2022-11-23T01:32:37.2370605Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.2370704Z     args.clear()
2022-11-23T01:32:37.2370841Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4)
2022-11-23T01:32:37.2370956Z     assert_size_stride(buf0, (1, 128, 108, 108), (1492992, 11664, 108, 1))
2022-11-23T01:32:37.2371022Z     del arg0_1
2022-11-23T01:32:37.2371087Z     del arg1_1
2022-11-23T01:32:37.2371140Z     del arg7_1
2022-11-23T01:32:37.2371263Z     buf1 = as_strided(buf0, (1, 128, 108, 108), (1492992, 11664, 108, 1)); del buf0  # reuse
2022-11-23T01:32:37.2371477Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.2371543Z     del arg2_1
2022-11-23T01:32:37.2371607Z     del arg3_1
2022-11-23T01:32:37.2371673Z     del arg4_1
2022-11-23T01:32:37.2371738Z     del arg5_1
2022-11-23T01:32:37.2371796Z     return (buf1, )
2022-11-23T01:32:37.2371813Z 
2022-11-23T01:32:37.2371817Z 
2022-11-23T01:32:37.2371882Z if __name__ == "__main__":
2022-11-23T01:32:37.2371996Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2372117Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2372332Z     arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2372526Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2372716Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2372907Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2373094Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2373269Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2373446Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2373674Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2373829Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.2373834Z 
2022-11-23T01:32:37.2373838Z 
2022-11-23T01:32:37.2373932Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2374001Z import torch
2022-11-23T01:32:37.2374071Z import random
2022-11-23T01:32:37.2374188Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2374296Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2374303Z 
2022-11-23T01:32:37.2374380Z aten = torch.ops.aten
2022-11-23T01:32:37.2374513Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2374605Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2374610Z 
2022-11-23T01:32:37.2374614Z 
2022-11-23T01:32:37.2374746Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2374950Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2375069Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2375167Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.2375214Z {
2022-11-23T01:32:37.2375311Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2375371Z     {
2022-11-23T01:32:37.2375447Z         #pragma omp for 
2022-11-23T01:32:37.2375529Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.2375591Z         {
2022-11-23T01:32:37.2375658Z             #pragma GCC ivdep
2022-11-23T01:32:37.2375768Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:37.2375831Z             {
2022-11-23T01:32:37.2375913Z                 #pragma GCC ivdep
2022-11-23T01:32:37.2376003Z                 for(long i2=0; i2<9; i2+=1)
2022-11-23T01:32:37.2376068Z                 {
2022-11-23T01:32:37.2376133Z                     {
2022-11-23T01:32:37.2376188Z                         {
2022-11-23T01:32:37.2376298Z                             auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)];
2022-11-23T01:32:37.2376427Z                             out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0;
2022-11-23T01:32:37.2376496Z                         }
2022-11-23T01:32:37.2376563Z                     }
2022-11-23T01:32:37.2376627Z                 }
2022-11-23T01:32:37.2376689Z             }
2022-11-23T01:32:37.2376739Z         }
2022-11-23T01:32:37.2376799Z     }
2022-11-23T01:32:37.2376858Z }
2022-11-23T01:32:37.2376935Z ''')
2022-11-23T01:32:37.2376940Z 
2022-11-23T01:32:37.2376943Z 
2022-11-23T01:32:37.2377081Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.2377286Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2377401Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2377504Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2377594Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2377697Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2377798Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2377857Z {
2022-11-23T01:32:37.2377953Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2378016Z     {
2022-11-23T01:32:37.2378092Z         #pragma omp for 
2022-11-23T01:32:37.2378161Z         for(long i0=0; i0<11664; i0+=1)
2022-11-23T01:32:37.2378223Z         {
2022-11-23T01:32:37.2378303Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:37.2378366Z             {
2022-11-23T01:32:37.2378516Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (128*i0));
2022-11-23T01:32:37.2378649Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i1);
2022-11-23T01:32:37.2378781Z                 auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i1);
2022-11-23T01:32:37.2378901Z                 auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr2 + 16*i1);
2022-11-23T01:32:37.2379035Z                 auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr3 + 16*i1);
2022-11-23T01:32:37.2379166Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2379370Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2379457Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2379543Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2379641Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2379773Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2379850Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2379938Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2380029Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2380119Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2380227Z                 tmp14.store(in_out_ptr0 + (16*i1) + (128*i0));
2022-11-23T01:32:37.2380291Z             }
2022-11-23T01:32:37.2380385Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2380459Z             for(long i1=128; i1<128; i1+=1)
2022-11-23T01:32:37.2380522Z             {
2022-11-23T01:32:37.2380623Z                 auto tmp0 = in_out_ptr0[i1 + (128*i0)];
2022-11-23T01:32:37.2380708Z                 auto tmp1 = in_ptr0[i1];
2022-11-23T01:32:37.2380793Z                 auto tmp3 = in_ptr1[i1];
2022-11-23T01:32:37.2380880Z                 auto tmp11 = in_ptr2[i1];
2022-11-23T01:32:37.2380967Z                 auto tmp13 = in_ptr3[i1];
2022-11-23T01:32:37.2381114Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2381266Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2381351Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2381445Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2381525Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2381625Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2381709Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2381840Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2381919Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2382009Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2382105Z                 in_out_ptr0[i1 + (128*i0)] = tmp14;
2022-11-23T01:32:37.2382172Z             }
2022-11-23T01:32:37.2382237Z         }
2022-11-23T01:32:37.2382300Z     }
2022-11-23T01:32:37.2382347Z }
2022-11-23T01:32:37.2382426Z ''')
2022-11-23T01:32:37.2382431Z 
2022-11-23T01:32:37.2382437Z 
2022-11-23T01:32:37.2382528Z async_compile.wait(globals())
2022-11-23T01:32:37.2382599Z del async_compile
2022-11-23T01:32:37.2382604Z 
2022-11-23T01:32:37.2382674Z def call(args):
2022-11-23T01:32:37.2382792Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.2382863Z     args.clear()
2022-11-23T01:32:37.2383078Z     buf0 = empty_strided((128, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2383201Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.2383270Z     del arg0_1
2022-11-23T01:32:37.2383405Z     buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4)
2022-11-23T01:32:37.2383517Z     assert_size_stride(buf1, (1, 128, 108, 108), (1492992, 1, 13824, 128))
2022-11-23T01:32:37.2383587Z     del arg1_1
2022-11-23T01:32:37.2383655Z     del arg7_1
2022-11-23T01:32:37.2383719Z     del buf0
2022-11-23T01:32:37.2383828Z     buf2 = as_strided(buf1, (1, 128, 108, 108), (1492992, 1, 13824, 128)); del buf1  # reuse
2022-11-23T01:32:37.2384044Z     kernel_cpp_1(c_void_p(buf2.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.2384113Z     del arg2_1
2022-11-23T01:32:37.2384180Z     del arg3_1
2022-11-23T01:32:37.2384246Z     del arg4_1
2022-11-23T01:32:37.2384314Z     del arg5_1
2022-11-23T01:32:37.2384386Z     return (buf2, )
2022-11-23T01:32:37.2384391Z 
2022-11-23T01:32:37.2384398Z 
2022-11-23T01:32:37.2384582Z if __name__ == "__main__":
2022-11-23T01:32:37.2384688Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2384811Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2385030Z     arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2385225Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2385418Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2385613Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2385804Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2385993Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2386159Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2386387Z     arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2386546Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.2386921Z [2022-11-23 01:17:11,886] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kt/ckths3ekdaaugq74xrqqbkr672xsqukh7qjgbmiizdjsljjpx2yl.py
2022-11-23T01:32:37.2387187Z [2022-11-23 01:17:11,887] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 95
2022-11-23T01:32:37.2387465Z [2022-11-23 01:17:12,327] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2387733Z [2022-11-23 01:17:12,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2387950Z [2022-11-23 01:17:12,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2388221Z [2022-11-23 01:17:12,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2388487Z [2022-11-23 01:17:12,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2388801Z [2022-11-23 01:17:12,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2389048Z [2022-11-23 01:17:12,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2389283Z [2022-11-23 01:17:12,361] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2389536Z [2022-11-23 01:17:12,362] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2389786Z [2022-11-23 01:17:12,392] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2389975Z [2022-11-23 01:17:12,392] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2390109Z  __compiled_fn_97 <eval_with_key>.636 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2390201Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2390287Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2390389Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2390489Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2390494Z 
2022-11-23T01:32:37.2390773Z [2022-11-23 01:17:12,393] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2390870Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2390961Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2391054Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2391131Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2391208Z               8 RETURN_VALUE
2022-11-23T01:32:37.2391213Z 
2022-11-23T01:32:37.2391277Z  
2022-11-23T01:32:37.2391553Z [2022-11-23 01:17:12,393] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2391663Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_97)
2022-11-23T01:32:37.2391752Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2391841Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2391915Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2391991Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2392083Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2392156Z              12 RETURN_VALUE
2022-11-23T01:32:37.2392161Z 
2022-11-23T01:32:37.2392222Z  
2022-11-23T01:32:37.2392401Z [2022-11-23 01:17:12,394] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2392468Z  - 
2022-11-23T01:32:37.2392588Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2392639Z             {
2022-11-23T01:32:37.2392781Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2392965Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2393085Z                 'obj_weakref': None
2022-11-23T01:32:37.2393307Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2393371Z             }
2022-11-23T01:32:37.2393433Z             
2022-11-23T01:32:37.2393488Z  - 
2022-11-23T01:32:37.2393611Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2393702Z             {
2022-11-23T01:32:37.2393844Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2393950Z                 'code': None,
2022-11-23T01:32:37.2394155Z                 'obj_weakref': <weakref at 0x7f7106e15710; to 'Tensor' at 0x7f7106764350>
2022-11-23T01:32:37.2394401Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2394452Z             }
2022-11-23T01:32:37.2394543Z             
2022-11-23T01:32:37.2394612Z  - 
2022-11-23T01:32:37.2394730Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2394793Z             {
2022-11-23T01:32:37.2394925Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2395092Z                 'code': ['___check_obj_id(model, 140123415476816)'],
2022-11-23T01:32:37.2395291Z                 'obj_weakref': <weakref at 0x7f7106748650; to 'Sequential' at 0x7f7106677a50>
2022-11-23T01:32:37.2395521Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2395585Z             }
2022-11-23T01:32:37.2395648Z             
2022-11-23T01:32:37.2395716Z  - 
2022-11-23T01:32:37.2395836Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2395899Z             {
2022-11-23T01:32:37.2396021Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2396235Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2396352Z                 'obj_weakref': None
2022-11-23T01:32:37.2396570Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2396633Z             }
2022-11-23T01:32:37.2396694Z             
2022-11-23T01:32:37.2396762Z  - 
2022-11-23T01:32:37.2396894Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2396956Z             {
2022-11-23T01:32:37.2397075Z                 'guard_types': None,
2022-11-23T01:32:37.2397289Z                 'code': None,
2022-11-23T01:32:37.2397408Z                 'obj_weakref': None
2022-11-23T01:32:37.2397529Z                 'guarded_class': None
2022-11-23T01:32:37.2397593Z             }
2022-11-23T01:32:37.2397643Z             
2022-11-23T01:32:37.2397715Z  - 
2022-11-23T01:32:37.2397863Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2397926Z             {
2022-11-23T01:32:37.2398045Z                 'guard_types': None,
2022-11-23T01:32:37.2398153Z                 'code': None,
2022-11-23T01:32:37.2398271Z                 'obj_weakref': None
2022-11-23T01:32:37.2398377Z                 'guarded_class': None
2022-11-23T01:32:37.2398441Z             }
2022-11-23T01:32:37.2398504Z             
2022-11-23T01:32:37.2398764Z [2022-11-23 01:17:12,443] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 96
2022-11-23T01:32:37.2399140Z [2022-11-23 01:17:12,476] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/b6/cb6vwgglchztpvoi47q4c4wgi7nhmyl3otfj45dubk2cknb427f5.py
2022-11-23T01:32:37.2399405Z [2022-11-23 01:17:12,476] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 96
2022-11-23T01:32:37.2399641Z [2022-11-23 01:17:12,660] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2400025Z [2022-11-23 01:17:12,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2400245Z [2022-11-23 01:17:12,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2400487Z [2022-11-23 01:17:12,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2400761Z [2022-11-23 01:17:12,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2401078Z [2022-11-23 01:17:12,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2401398Z [2022-11-23 01:17:12,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2401633Z [2022-11-23 01:17:12,693] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2401887Z [2022-11-23 01:17:12,695] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2402172Z [2022-11-23 01:17:12,725] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2402364Z [2022-11-23 01:17:12,725] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2402486Z  __compiled_fn_98 <eval_with_key>.642 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2402577Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2402677Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2402778Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2402878Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2402883Z 
2022-11-23T01:32:37.2403159Z [2022-11-23 01:17:12,725] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2403251Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2403341Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2403420Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2403512Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2403588Z               8 RETURN_VALUE
2022-11-23T01:32:37.2403594Z 
2022-11-23T01:32:37.2403653Z  
2022-11-23T01:32:37.2403934Z [2022-11-23 01:17:12,726] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2404040Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_98)
2022-11-23T01:32:37.2404128Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2404204Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2404282Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2404369Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2404462Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2404536Z              12 RETURN_VALUE
2022-11-23T01:32:37.2404540Z 
2022-11-23T01:32:37.2404600Z  
2022-11-23T01:32:37.2404781Z [2022-11-23 01:17:12,727] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2404850Z  - 
2022-11-23T01:32:37.2404958Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2405021Z             {
2022-11-23T01:32:37.2405160Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2405344Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2405462Z                 'obj_weakref': None
2022-11-23T01:32:37.2405685Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2405749Z             }
2022-11-23T01:32:37.2405802Z             
2022-11-23T01:32:37.2405869Z  - 
2022-11-23T01:32:37.2405991Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2406055Z             {
2022-11-23T01:32:37.2406193Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2406299Z                 'code': None,
2022-11-23T01:32:37.2406492Z                 'obj_weakref': <weakref at 0x7f7106747dd0; to 'Tensor' at 0x7f7106a3ae90>
2022-11-23T01:32:37.2406742Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2406806Z             }
2022-11-23T01:32:37.2406868Z             
2022-11-23T01:32:37.2406935Z  - 
2022-11-23T01:32:37.2407054Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2407116Z             {
2022-11-23T01:32:37.2407238Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2407406Z                 'code': ['___check_obj_id(model, 140123415476816)'],
2022-11-23T01:32:37.2407616Z                 'obj_weakref': <weakref at 0x7f7106748650; to 'Sequential' at 0x7f7106677a50>
2022-11-23T01:32:37.2407882Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2407945Z             }
2022-11-23T01:32:37.2408007Z             
2022-11-23T01:32:37.2408073Z  - 
2022-11-23T01:32:37.2408194Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2408243Z             {
2022-11-23T01:32:37.2408425Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2408644Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2408762Z                 'obj_weakref': None
2022-11-23T01:32:37.2408979Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2409042Z             }
2022-11-23T01:32:37.2409103Z             
2022-11-23T01:32:37.2409158Z  - 
2022-11-23T01:32:37.2409302Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2409366Z             {
2022-11-23T01:32:37.2409485Z                 'guard_types': None,
2022-11-23T01:32:37.2409591Z                 'code': None,
2022-11-23T01:32:37.2409707Z                 'obj_weakref': None
2022-11-23T01:32:37.2409826Z                 'guarded_class': None
2022-11-23T01:32:37.2409876Z             }
2022-11-23T01:32:37.2409938Z             
2022-11-23T01:32:37.2410004Z  - 
2022-11-23T01:32:37.2410148Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2410212Z             {
2022-11-23T01:32:37.2410328Z                 'guard_types': None,
2022-11-23T01:32:37.2410420Z                 'code': None,
2022-11-23T01:32:37.2410582Z                 'obj_weakref': None
2022-11-23T01:32:37.2410753Z                 'guarded_class': None
2022-11-23T01:32:37.2410847Z             }
2022-11-23T01:32:37.2410910Z             
2022-11-23T01:32:37.2411172Z [2022-11-23 01:17:12,775] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 97
2022-11-23T01:32:37.2411181Z 
2022-11-23T01:32:37.2411186Z 
2022-11-23T01:32:37.2411278Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2411346Z import torch
2022-11-23T01:32:37.2411402Z import random
2022-11-23T01:32:37.2411516Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2411636Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2411641Z 
2022-11-23T01:32:37.2411719Z aten = torch.ops.aten
2022-11-23T01:32:37.2411853Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2411944Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2411949Z 
2022-11-23T01:32:37.2411953Z 
2022-11-23T01:32:37.2412084Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2412288Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2412392Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2412496Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2412601Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2412703Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2412804Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2412867Z {
2022-11-23T01:32:37.2412964Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2413012Z     {
2022-11-23T01:32:37.2413088Z         #pragma omp for 
2022-11-23T01:32:37.2413171Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.2413233Z         {
2022-11-23T01:32:37.2413317Z             for(long i1=0; i1<784; i1+=1)
2022-11-23T01:32:37.2413379Z             {
2022-11-23T01:32:37.2413531Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (12544*i0));
2022-11-23T01:32:37.2413646Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2413766Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2413934Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2414059Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2414191Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2414396Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2414482Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2414568Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2414686Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2414819Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2414907Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2414999Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2415094Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2415185Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2415296Z                 tmp14.store(in_out_ptr0 + (16*i1) + (12544*i0));
2022-11-23T01:32:37.2415349Z             }
2022-11-23T01:32:37.2415443Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2415534Z             for(long i1=12544; i1<12544; i1+=1)
2022-11-23T01:32:37.2415597Z             {
2022-11-23T01:32:37.2415697Z                 auto tmp0 = in_out_ptr0[i1 + (12544*i0)];
2022-11-23T01:32:37.2415783Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2415867Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2415943Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2416029Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2416157Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2416311Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2416396Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2416490Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2416571Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2416674Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2416747Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2416832Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2416921Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2417010Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2417105Z                 in_out_ptr0[i1 + (12544*i0)] = tmp14;
2022-11-23T01:32:37.2417168Z             }
2022-11-23T01:32:37.2417232Z         }
2022-11-23T01:32:37.2417283Z     }
2022-11-23T01:32:37.2417342Z }
2022-11-23T01:32:37.2417419Z ''')
2022-11-23T01:32:37.2417425Z 
2022-11-23T01:32:37.2417429Z 
2022-11-23T01:32:37.2417516Z async_compile.wait(globals())
2022-11-23T01:32:37.2417589Z del async_compile
2022-11-23T01:32:37.2417594Z 
2022-11-23T01:32:37.2417663Z def call(args):
2022-11-23T01:32:37.2417777Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.2417835Z     args.clear()
2022-11-23T01:32:37.2417972Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:37.2418084Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 12544, 112, 1))
2022-11-23T01:32:37.2418151Z     del arg0_1
2022-11-23T01:32:37.2418218Z     del arg6_1
2022-11-23T01:32:37.2418341Z     buf1 = as_strided(buf0, (1, 32, 112, 112), (401408, 12544, 112, 1)); del buf0  # reuse
2022-11-23T01:32:37.2418556Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.2418623Z     del arg1_1
2022-11-23T01:32:37.2418675Z     del arg2_1
2022-11-23T01:32:37.2418740Z     del arg3_1
2022-11-23T01:32:37.2418804Z     del arg4_1
2022-11-23T01:32:37.2418875Z     return (buf1, )
2022-11-23T01:32:37.2418879Z 
2022-11-23T01:32:37.2418884Z 
2022-11-23T01:32:37.2418960Z if __name__ == "__main__":
2022-11-23T01:32:37.2419073Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2419223Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2419424Z     arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2419618Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2419810Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2420025Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2420213Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2420391Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2420613Z     arg6_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2420764Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.2420769Z 
2022-11-23T01:32:37.2420776Z 
2022-11-23T01:32:37.2420871Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2420927Z import torch
2022-11-23T01:32:37.2421001Z import random
2022-11-23T01:32:37.2421116Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2421238Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2421242Z 
2022-11-23T01:32:37.2421320Z aten = torch.ops.aten
2022-11-23T01:32:37.2421452Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2421546Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2421552Z 
2022-11-23T01:32:37.2421556Z 
2022-11-23T01:32:37.2421675Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2421901Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2422017Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2422124Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2422227Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2422331Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2422432Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2422493Z {
2022-11-23T01:32:37.2422577Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2422639Z     {
2022-11-23T01:32:37.2422716Z         #pragma omp for 
2022-11-23T01:32:37.2422800Z         for(long i0=0; i0<12544; i0+=1)
2022-11-23T01:32:37.2422863Z         {
2022-11-23T01:32:37.2422947Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:37.2422999Z             {
2022-11-23T01:32:37.2423147Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (32*i0));
2022-11-23T01:32:37.2423283Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i1);
2022-11-23T01:32:37.2423416Z                 auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i1);
2022-11-23T01:32:37.2423551Z                 auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr2 + 16*i1);
2022-11-23T01:32:37.2423687Z                 auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr3 + 16*i1);
2022-11-23T01:32:37.2423817Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2424025Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2424114Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2424189Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2424291Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2424426Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2424582Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2424673Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2424765Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2424854Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2424950Z                 tmp14.store(in_out_ptr0 + (16*i1) + (32*i0));
2022-11-23T01:32:37.2425050Z             }
2022-11-23T01:32:37.2425142Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2425232Z             for(long i1=32; i1<32; i1+=1)
2022-11-23T01:32:37.2425297Z             {
2022-11-23T01:32:37.2425398Z                 auto tmp0 = in_out_ptr0[i1 + (32*i0)];
2022-11-23T01:32:37.2425485Z                 auto tmp1 = in_ptr0[i1];
2022-11-23T01:32:37.2425558Z                 auto tmp3 = in_ptr1[i1];
2022-11-23T01:32:37.2425695Z                 auto tmp11 = in_ptr2[i1];
2022-11-23T01:32:37.2425784Z                 auto tmp13 = in_ptr3[i1];
2022-11-23T01:32:37.2425915Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2426071Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2426157Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2426253Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2426337Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2426424Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2426513Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2426599Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2426693Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2426781Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2426873Z                 in_out_ptr0[i1 + (32*i0)] = tmp14;
2022-11-23T01:32:37.2426938Z             }
2022-11-23T01:32:37.2426989Z         }
2022-11-23T01:32:37.2427053Z     }
2022-11-23T01:32:37.2427115Z }
2022-11-23T01:32:37.2427194Z ''')
2022-11-23T01:32:37.2427199Z 
2022-11-23T01:32:37.2427203Z 
2022-11-23T01:32:37.2427295Z async_compile.wait(globals())
2022-11-23T01:32:37.2427367Z del async_compile
2022-11-23T01:32:37.2427372Z 
2022-11-23T01:32:37.2427445Z def call(args):
2022-11-23T01:32:37.2427544Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.2427617Z     args.clear()
2022-11-23T01:32:37.2427753Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:37.2427866Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32))
2022-11-23T01:32:37.2427933Z     del arg0_1
2022-11-23T01:32:37.2427999Z     del arg6_1
2022-11-23T01:32:37.2428119Z     buf1 = as_strided(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32)); del buf0  # reuse
2022-11-23T01:32:37.2428323Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.2428390Z     del arg1_1
2022-11-23T01:32:37.2428455Z     del arg2_1
2022-11-23T01:32:37.2428520Z     del arg3_1
2022-11-23T01:32:37.2428584Z     del arg4_1
2022-11-23T01:32:37.2428655Z     return (buf1, )
2022-11-23T01:32:37.2428659Z 
2022-11-23T01:32:37.2428664Z 
2022-11-23T01:32:37.2428739Z if __name__ == "__main__":
2022-11-23T01:32:37.2428851Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2428960Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2429174Z     arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2429368Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2429559Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2429747Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2429934Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2430111Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2430328Z     arg6_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2430461Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.2430831Z [2022-11-23 01:17:12,809] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uk/cukgfyciipi5n5vf2f4m6i7leo6qg4bmpwgj2lw6nz2yrzkxex2i.py
2022-11-23T01:32:37.2431126Z [2022-11-23 01:17:12,809] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 97
2022-11-23T01:32:37.2431363Z [2022-11-23 01:17:12,941] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2431631Z [2022-11-23 01:17:12,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2431879Z [2022-11-23 01:17:12,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2432125Z [2022-11-23 01:17:12,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2432398Z [2022-11-23 01:17:12,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2432712Z [2022-11-23 01:17:12,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2432950Z [2022-11-23 01:17:12,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2433183Z [2022-11-23 01:17:12,975] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2433434Z [2022-11-23 01:17:12,976] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2433683Z [2022-11-23 01:17:13,011] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2433871Z [2022-11-23 01:17:13,012] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2434003Z  __compiled_fn_99 <eval_with_key>.648 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2434093Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2434191Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2434281Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2434381Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2434386Z 
2022-11-23T01:32:37.2434661Z [2022-11-23 01:17:13,012] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2434753Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2434844Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2434937Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2435028Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2435104Z               8 RETURN_VALUE
2022-11-23T01:32:37.2435109Z 
2022-11-23T01:32:37.2435157Z  
2022-11-23T01:32:37.2435432Z [2022-11-23 01:17:13,012] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2435538Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_99)
2022-11-23T01:32:37.2435626Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2435717Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2435793Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2435881Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2435970Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2436032Z              12 RETURN_VALUE
2022-11-23T01:32:37.2436037Z 
2022-11-23T01:32:37.2436097Z  
2022-11-23T01:32:37.2436278Z [2022-11-23 01:17:13,013] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2436349Z  - 
2022-11-23T01:32:37.2436466Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2436530Z             {
2022-11-23T01:32:37.2436669Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2436839Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2436958Z                 'obj_weakref': None
2022-11-23T01:32:37.2437306Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2437429Z             }
2022-11-23T01:32:37.2437495Z             
2022-11-23T01:32:37.2437568Z  - 
2022-11-23T01:32:37.2437693Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2437744Z             {
2022-11-23T01:32:37.2437888Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2437996Z                 'code': None,
2022-11-23T01:32:37.2438199Z                 'obj_weakref': <weakref at 0x7f7106720e30; to 'Tensor' at 0x7f7106717290>
2022-11-23T01:32:37.2438482Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2438548Z             }
2022-11-23T01:32:37.2438609Z             
2022-11-23T01:32:37.2438665Z  - 
2022-11-23T01:32:37.2438784Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2438847Z             {
2022-11-23T01:32:37.2438980Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2439149Z                 'code': ['___check_obj_id(model, 140123415753232)'],
2022-11-23T01:32:37.2439362Z                 'obj_weakref': <weakref at 0x7f7106717890; to 'Sequential' at 0x7f71066bb210>
2022-11-23T01:32:37.2439592Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2439643Z             }
2022-11-23T01:32:37.2439705Z             
2022-11-23T01:32:37.2439773Z  - 
2022-11-23T01:32:37.2439894Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2439958Z             {
2022-11-23T01:32:37.2440097Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2440316Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2440422Z                 'obj_weakref': None
2022-11-23T01:32:37.2440641Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2440705Z             }
2022-11-23T01:32:37.2440770Z             
2022-11-23T01:32:37.2440840Z  - 
2022-11-23T01:32:37.2440990Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2441054Z             {
2022-11-23T01:32:37.2441161Z                 'guard_types': None,
2022-11-23T01:32:37.2441266Z                 'code': None,
2022-11-23T01:32:37.2441383Z                 'obj_weakref': None
2022-11-23T01:32:37.2441502Z                 'guarded_class': None
2022-11-23T01:32:37.2441565Z             }
2022-11-23T01:32:37.2441627Z             
2022-11-23T01:32:37.2441681Z  - 
2022-11-23T01:32:37.2441827Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2441890Z             {
2022-11-23T01:32:37.2442008Z                 'guard_types': None,
2022-11-23T01:32:37.2442113Z                 'code': None,
2022-11-23T01:32:37.2442228Z                 'obj_weakref': None
2022-11-23T01:32:37.2442346Z                 'guarded_class': None
2022-11-23T01:32:37.2442395Z             }
2022-11-23T01:32:37.2442457Z             
2022-11-23T01:32:37.2442715Z [2022-11-23 01:17:13,061] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 98
2022-11-23T01:32:37.2443085Z [2022-11-23 01:17:13,093] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rm/crm54e3vvw2avan6mwu3yeuzxutqtgcbkxrsv6esyfqafljuqcbi.py
2022-11-23T01:32:37.2443346Z [2022-11-23 01:17:13,093] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 98
2022-11-23T01:32:37.2443582Z [2022-11-23 01:17:13,507] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2443849Z [2022-11-23 01:17:13,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2444063Z [2022-11-23 01:17:13,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2444303Z [2022-11-23 01:17:13,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2444566Z [2022-11-23 01:17:13,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2444912Z [2022-11-23 01:17:13,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2445160Z [2022-11-23 01:17:13,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2445394Z [2022-11-23 01:17:13,549] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2445673Z [2022-11-23 01:17:13,550] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2445920Z [2022-11-23 01:17:13,579] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2446107Z [2022-11-23 01:17:13,579] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2446237Z  __compiled_fn_100 <eval_with_key>.654 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2446326Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2446415Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2446516Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2446614Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2446619Z 
2022-11-23T01:32:37.2446893Z [2022-11-23 01:17:13,580] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2446986Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2447077Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2447169Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2447258Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2447322Z               8 RETURN_VALUE
2022-11-23T01:32:37.2447327Z 
2022-11-23T01:32:37.2447388Z  
2022-11-23T01:32:37.2447663Z [2022-11-23 01:17:13,580] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2447773Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_100)
2022-11-23T01:32:37.2447862Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2447950Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2448025Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2448101Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2448191Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2448266Z              12 RETURN_VALUE
2022-11-23T01:32:37.2448273Z 
2022-11-23T01:32:37.2448333Z  
2022-11-23T01:32:37.2448510Z [2022-11-23 01:17:13,585] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2448580Z  - 
2022-11-23T01:32:37.2448696Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2448747Z             {
2022-11-23T01:32:37.2448889Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2449072Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2449191Z                 'obj_weakref': None
2022-11-23T01:32:37.2449414Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2449479Z             }
2022-11-23T01:32:37.2449540Z             
2022-11-23T01:32:37.2449595Z  - 
2022-11-23T01:32:37.2449718Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2449780Z             {
2022-11-23T01:32:37.2449921Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2450025Z                 'code': None,
2022-11-23T01:32:37.2450233Z                 'obj_weakref': <weakref at 0x7f7106c60bf0; to 'Tensor' at 0x7f71069bf170>
2022-11-23T01:32:37.2450480Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2450531Z             }
2022-11-23T01:32:37.2450595Z             
2022-11-23T01:32:37.2450663Z  - 
2022-11-23T01:32:37.2450780Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2450844Z             {
2022-11-23T01:32:37.2451010Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2451179Z                 'code': ['___check_obj_id(model, 140123415753232)'],
2022-11-23T01:32:37.2451377Z                 'obj_weakref': <weakref at 0x7f7106717890; to 'Sequential' at 0x7f71066bb210>
2022-11-23T01:32:37.2451608Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2451671Z             }
2022-11-23T01:32:37.2451733Z             
2022-11-23T01:32:37.2451830Z  - 
2022-11-23T01:32:37.2451954Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2452017Z             {
2022-11-23T01:32:37.2452139Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2452353Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2452470Z                 'obj_weakref': None
2022-11-23T01:32:37.2452686Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2452752Z             }
2022-11-23T01:32:37.2452814Z             
2022-11-23T01:32:37.2452881Z  - 
2022-11-23T01:32:37.2453013Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2453075Z             {
2022-11-23T01:32:37.2453195Z                 'guard_types': None,
2022-11-23T01:32:37.2453302Z                 'code': None,
2022-11-23T01:32:37.2453419Z                 'obj_weakref': None
2022-11-23T01:32:37.2453540Z                 'guarded_class': None
2022-11-23T01:32:37.2453605Z             }
2022-11-23T01:32:37.2453654Z             
2022-11-23T01:32:37.2453721Z  - 
2022-11-23T01:32:37.2453864Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2453926Z             {
2022-11-23T01:32:37.2454043Z                 'guard_types': None,
2022-11-23T01:32:37.2454148Z                 'code': None,
2022-11-23T01:32:37.2454263Z                 'obj_weakref': None
2022-11-23T01:32:37.2454369Z                 'guarded_class': None
2022-11-23T01:32:37.2454431Z             }
2022-11-23T01:32:37.2454497Z             
2022-11-23T01:32:37.2454754Z [2022-11-23 01:17:13,631] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 99
2022-11-23T01:32:37.2454761Z 
2022-11-23T01:32:37.2454766Z 
2022-11-23T01:32:37.2454859Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2454927Z import torch
2022-11-23T01:32:37.2454995Z import random
2022-11-23T01:32:37.2455097Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2455220Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2455225Z 
2022-11-23T01:32:37.2455303Z aten = torch.ops.aten
2022-11-23T01:32:37.2455438Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2455530Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2455535Z 
2022-11-23T01:32:37.2455539Z 
2022-11-23T01:32:37.2455671Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2455887Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2456004Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2456096Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2456199Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2456301Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2456400Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2456460Z {
2022-11-23T01:32:37.2456558Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2456621Z     {
2022-11-23T01:32:37.2456685Z         #pragma omp for 
2022-11-23T01:32:37.2456767Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.2456829Z         {
2022-11-23T01:32:37.2456913Z             for(long i1=0; i1<784; i1+=1)
2022-11-23T01:32:37.2456977Z             {
2022-11-23T01:32:37.2457128Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (12544*i0));
2022-11-23T01:32:37.2457290Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2457411Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2457522Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2457641Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2457774Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2458013Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2458102Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2458188Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2458287Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2458422Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2458495Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2458583Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2458676Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2458767Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2458876Z                 tmp14.store(in_out_ptr0 + (16*i1) + (12544*i0));
2022-11-23T01:32:37.2458942Z             }
2022-11-23T01:32:37.2459035Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2459112Z             for(long i1=12544; i1<12544; i1+=1)
2022-11-23T01:32:37.2459176Z             {
2022-11-23T01:32:37.2459281Z                 auto tmp0 = in_out_ptr0[i1 + (12544*i0)];
2022-11-23T01:32:37.2459368Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2459454Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2459541Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2459630Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2459745Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2459902Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2459988Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2460086Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2460169Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2460269Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2460354Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2460427Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2460519Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2460612Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2460709Z                 in_out_ptr0[i1 + (12544*i0)] = tmp14;
2022-11-23T01:32:37.2460777Z             }
2022-11-23T01:32:37.2460841Z         }
2022-11-23T01:32:37.2460904Z     }
2022-11-23T01:32:37.2460951Z }
2022-11-23T01:32:37.2461030Z ''')
2022-11-23T01:32:37.2461034Z 
2022-11-23T01:32:37.2461038Z 
2022-11-23T01:32:37.2461129Z async_compile.wait(globals())
2022-11-23T01:32:37.2461202Z del async_compile
2022-11-23T01:32:37.2461207Z 
2022-11-23T01:32:37.2461282Z def call(args):
2022-11-23T01:32:37.2461394Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.2461468Z     args.clear()
2022-11-23T01:32:37.2461603Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 4)
2022-11-23T01:32:37.2461704Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 12544, 112, 1))
2022-11-23T01:32:37.2461773Z     del arg0_1
2022-11-23T01:32:37.2461840Z     del arg6_1
2022-11-23T01:32:37.2461969Z     buf1 = as_strided(buf0, (1, 128, 112, 112), (1605632, 12544, 112, 1)); del buf0  # reuse
2022-11-23T01:32:37.2462182Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.2462249Z     del arg1_1
2022-11-23T01:32:37.2462315Z     del arg2_1
2022-11-23T01:32:37.2462368Z     del arg3_1
2022-11-23T01:32:37.2462434Z     del arg4_1
2022-11-23T01:32:37.2462504Z     return (buf1, )
2022-11-23T01:32:37.2462541Z 
2022-11-23T01:32:37.2462545Z 
2022-11-23T01:32:37.2462622Z if __name__ == "__main__":
2022-11-23T01:32:37.2462735Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2462856Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2463072Z     arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2463266Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2463473Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2463666Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2463855Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2464033Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2464259Z     arg6_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2464408Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.2464414Z 
2022-11-23T01:32:37.2464418Z 
2022-11-23T01:32:37.2464598Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2464670Z import torch
2022-11-23T01:32:37.2464727Z import random
2022-11-23T01:32:37.2464843Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2464964Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2464970Z 
2022-11-23T01:32:37.2465049Z aten = torch.ops.aten
2022-11-23T01:32:37.2465183Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2465275Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2465280Z 
2022-11-23T01:32:37.2465284Z 
2022-11-23T01:32:37.2465420Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2465624Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2465729Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2465836Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2465940Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2466042Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2466144Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2466209Z {
2022-11-23T01:32:37.2466307Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2466358Z     {
2022-11-23T01:32:37.2466438Z         #pragma omp for 
2022-11-23T01:32:37.2466522Z         for(long i0=0; i0<12544; i0+=1)
2022-11-23T01:32:37.2466584Z         {
2022-11-23T01:32:37.2466668Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:37.2466730Z             {
2022-11-23T01:32:37.2466879Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (128*i0));
2022-11-23T01:32:37.2467012Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i1);
2022-11-23T01:32:37.2467135Z                 auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i1);
2022-11-23T01:32:37.2467269Z                 auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr2 + 16*i1);
2022-11-23T01:32:37.2467401Z                 auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr3 + 16*i1);
2022-11-23T01:32:37.2467531Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2467735Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2467822Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2467908Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2468008Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2468128Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2468213Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2468301Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2468441Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2468530Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2468638Z                 tmp14.store(in_out_ptr0 + (16*i1) + (128*i0));
2022-11-23T01:32:37.2468702Z             }
2022-11-23T01:32:37.2468781Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2468868Z             for(long i1=128; i1<128; i1+=1)
2022-11-23T01:32:37.2468930Z             {
2022-11-23T01:32:37.2469076Z                 auto tmp0 = in_out_ptr0[i1 + (128*i0)];
2022-11-23T01:32:37.2469164Z                 auto tmp1 = in_ptr0[i1];
2022-11-23T01:32:37.2469251Z                 auto tmp3 = in_ptr1[i1];
2022-11-23T01:32:37.2469339Z                 auto tmp11 = in_ptr2[i1];
2022-11-23T01:32:37.2469412Z                 auto tmp13 = in_ptr3[i1];
2022-11-23T01:32:37.2469538Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2469696Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2469781Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2469877Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2469958Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2470059Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2470130Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2470217Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2470310Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2470402Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2470499Z                 in_out_ptr0[i1 + (128*i0)] = tmp14;
2022-11-23T01:32:37.2470564Z             }
2022-11-23T01:32:37.2470628Z         }
2022-11-23T01:32:37.2470678Z     }
2022-11-23T01:32:37.2470740Z }
2022-11-23T01:32:37.2470815Z ''')
2022-11-23T01:32:37.2470820Z 
2022-11-23T01:32:37.2470824Z 
2022-11-23T01:32:37.2470913Z async_compile.wait(globals())
2022-11-23T01:32:37.2470986Z del async_compile
2022-11-23T01:32:37.2470991Z 
2022-11-23T01:32:37.2471060Z def call(args):
2022-11-23T01:32:37.2471174Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.2471244Z     args.clear()
2022-11-23T01:32:37.2471367Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 4)
2022-11-23T01:32:37.2471478Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128))
2022-11-23T01:32:37.2471546Z     del arg0_1
2022-11-23T01:32:37.2471612Z     del arg6_1
2022-11-23T01:32:37.2471734Z     buf1 = as_strided(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128)); del buf0  # reuse
2022-11-23T01:32:37.2471944Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.2472011Z     del arg1_1
2022-11-23T01:32:37.2472064Z     del arg2_1
2022-11-23T01:32:37.2472129Z     del arg3_1
2022-11-23T01:32:37.2472195Z     del arg4_1
2022-11-23T01:32:37.2472266Z     return (buf1, )
2022-11-23T01:32:37.2472271Z 
2022-11-23T01:32:37.2472277Z 
2022-11-23T01:32:37.2472352Z if __name__ == "__main__":
2022-11-23T01:32:37.2472466Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2472586Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2472799Z     arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2472982Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2473177Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2473367Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2473554Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2473730Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2473955Z     arg6_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2474138Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.2474516Z [2022-11-23 01:17:13,662] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/it/cit2dvooulnxpjsemlomhzd6zkaxguijz75ckluabhhuybwi3m5l.py
2022-11-23T01:32:37.2474765Z [2022-11-23 01:17:13,662] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 99
2022-11-23T01:32:37.2475029Z [2022-11-23 01:17:14,111] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2475298Z [2022-11-23 01:17:14,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2475516Z [2022-11-23 01:17:14,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2475758Z [2022-11-23 01:17:14,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2476032Z [2022-11-23 01:17:14,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2476350Z [2022-11-23 01:17:14,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2476596Z [2022-11-23 01:17:14,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2476834Z [2022-11-23 01:17:14,145] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2477073Z [2022-11-23 01:17:14,146] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2477430Z [2022-11-23 01:17:14,174] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2477620Z [2022-11-23 01:17:14,175] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2477753Z  __compiled_fn_101 <eval_with_key>.660 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2477847Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2477949Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2478052Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2478152Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2478157Z 
2022-11-23T01:32:37.2478435Z [2022-11-23 01:17:14,175] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2478519Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2478612Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2478707Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2478798Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2478876Z               8 RETURN_VALUE
2022-11-23T01:32:37.2478882Z 
2022-11-23T01:32:37.2478946Z  
2022-11-23T01:32:37.2479224Z [2022-11-23 01:17:14,175] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2479321Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_101)
2022-11-23T01:32:37.2479414Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2479504Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2479583Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2479673Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2479764Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2479840Z              12 RETURN_VALUE
2022-11-23T01:32:37.2479845Z 
2022-11-23T01:32:37.2479904Z  
2022-11-23T01:32:37.2480074Z [2022-11-23 01:17:14,176] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2480144Z  - 
2022-11-23T01:32:37.2480261Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2480325Z             {
2022-11-23T01:32:37.2480464Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2480650Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2480831Z                 'obj_weakref': None
2022-11-23T01:32:37.2481040Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2481106Z             }
2022-11-23T01:32:37.2481171Z             
2022-11-23T01:32:37.2481242Z  - 
2022-11-23T01:32:37.2481368Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2481432Z             {
2022-11-23T01:32:37.2481597Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2481707Z                 'code': None,
2022-11-23T01:32:37.2481913Z                 'obj_weakref': <weakref at 0x7f710679a830; to 'Tensor' at 0x7f71067171d0>
2022-11-23T01:32:37.2482164Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2482229Z             }
2022-11-23T01:32:37.2482294Z             
2022-11-23T01:32:37.2482363Z  - 
2022-11-23T01:32:37.2482484Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2482536Z             {
2022-11-23T01:32:37.2482669Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2482837Z                 'code': ['___check_obj_id(model, 140123423832592)'],
2022-11-23T01:32:37.2483049Z                 'obj_weakref': <weakref at 0x7f71067755f0; to 'Sequential' at 0x7f7106e6fa10>
2022-11-23T01:32:37.2483281Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2483347Z             }
2022-11-23T01:32:37.2483409Z             
2022-11-23T01:32:37.2483465Z  - 
2022-11-23T01:32:37.2483586Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2483648Z             {
2022-11-23T01:32:37.2483783Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2483999Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2484117Z                 'obj_weakref': None
2022-11-23T01:32:37.2484333Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2484384Z             }
2022-11-23T01:32:37.2484447Z             
2022-11-23T01:32:37.2484515Z  - 
2022-11-23T01:32:37.2484659Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2484722Z             {
2022-11-23T01:32:37.2484839Z                 'guard_types': None,
2022-11-23T01:32:37.2484945Z                 'code': None,
2022-11-23T01:32:37.2485049Z                 'obj_weakref': None
2022-11-23T01:32:37.2485171Z                 'guarded_class': None
2022-11-23T01:32:37.2485233Z             }
2022-11-23T01:32:37.2485295Z             
2022-11-23T01:32:37.2485363Z  - 
2022-11-23T01:32:37.2485507Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2485557Z             {
2022-11-23T01:32:37.2485674Z                 'guard_types': None,
2022-11-23T01:32:37.2485779Z                 'code': None,
2022-11-23T01:32:37.2485893Z                 'obj_weakref': None
2022-11-23T01:32:37.2486015Z                 'guarded_class': None
2022-11-23T01:32:37.2486078Z             }
2022-11-23T01:32:37.2486139Z             
2022-11-23T01:32:37.2486386Z [2022-11-23 01:17:14,225] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 100
2022-11-23T01:32:37.2486759Z [2022-11-23 01:17:14,255] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fd/cfdrue5clayks224zsxbkqozzotpb6xvlcdiqxqrwsuozuxbao7v.py
2022-11-23T01:32:37.2487023Z [2022-11-23 01:17:14,256] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 100
2022-11-23T01:32:37.2487257Z [2022-11-23 01:17:14,370] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2487524Z [2022-11-23 01:17:14,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2487740Z [2022-11-23 01:17:14,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2488018Z [2022-11-23 01:17:14,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2488289Z [2022-11-23 01:17:14,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2488604Z [2022-11-23 01:17:14,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2488878Z [2022-11-23 01:17:14,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2489099Z [2022-11-23 01:17:14,402] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2489348Z [2022-11-23 01:17:14,403] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2489598Z [2022-11-23 01:17:14,432] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2489783Z [2022-11-23 01:17:14,432] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2489915Z  __compiled_fn_102 <eval_with_key>.666 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2490004Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2490103Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2490203Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2490289Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2490293Z 
2022-11-23T01:32:37.2490571Z [2022-11-23 01:17:14,433] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2490665Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2490755Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2490849Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2490943Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2491019Z               8 RETURN_VALUE
2022-11-23T01:32:37.2491026Z 
2022-11-23T01:32:37.2491087Z  
2022-11-23T01:32:37.2491350Z [2022-11-23 01:17:14,433] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2491459Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_102)
2022-11-23T01:32:37.2491549Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2491639Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2491715Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2491805Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2491894Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2491955Z              12 RETURN_VALUE
2022-11-23T01:32:37.2491960Z 
2022-11-23T01:32:37.2492020Z  
2022-11-23T01:32:37.2492201Z [2022-11-23 01:17:14,434] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2492270Z  - 
2022-11-23T01:32:37.2492387Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2492450Z             {
2022-11-23T01:32:37.2492592Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2492762Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2492880Z                 'obj_weakref': None
2022-11-23T01:32:37.2493106Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2493169Z             }
2022-11-23T01:32:37.2493233Z             
2022-11-23T01:32:37.2493301Z  - 
2022-11-23T01:32:37.2493426Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2493476Z             {
2022-11-23T01:32:37.2493618Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2493725Z                 'code': None,
2022-11-23T01:32:37.2493931Z                 'obj_weakref': <weakref at 0x7f710679a9b0; to 'Tensor' at 0x7f710671a230>
2022-11-23T01:32:37.2494179Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2494244Z             }
2022-11-23T01:32:37.2494343Z             
2022-11-23T01:32:37.2494399Z  - 
2022-11-23T01:32:37.2494518Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2494582Z             {
2022-11-23T01:32:37.2494721Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2494892Z                 'code': ['___check_obj_id(model, 140123423832592)'],
2022-11-23T01:32:37.2495107Z                 'obj_weakref': <weakref at 0x7f71067755f0; to 'Sequential' at 0x7f7106e6fa10>
2022-11-23T01:32:37.2495369Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2495420Z             }
2022-11-23T01:32:37.2495483Z             
2022-11-23T01:32:37.2495550Z  - 
2022-11-23T01:32:37.2495672Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2495735Z             {
2022-11-23T01:32:37.2495872Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2496087Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2496193Z                 'obj_weakref': None
2022-11-23T01:32:37.2496413Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2496476Z             }
2022-11-23T01:32:37.2496539Z             
2022-11-23T01:32:37.2496609Z  - 
2022-11-23T01:32:37.2496755Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2496819Z             {
2022-11-23T01:32:37.2496927Z                 'guard_types': None,
2022-11-23T01:32:37.2497032Z                 'code': None,
2022-11-23T01:32:37.2497149Z                 'obj_weakref': None
2022-11-23T01:32:37.2497270Z                 'guarded_class': None
2022-11-23T01:32:37.2497334Z             }
2022-11-23T01:32:37.2497397Z             
2022-11-23T01:32:37.2497466Z  - 
2022-11-23T01:32:37.2497596Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2497661Z             {
2022-11-23T01:32:37.2497778Z                 'guard_types': None,
2022-11-23T01:32:37.2497887Z                 'code': None,
2022-11-23T01:32:37.2498004Z                 'obj_weakref': None
2022-11-23T01:32:37.2498125Z                 'guarded_class': None
2022-11-23T01:32:37.2498188Z             }
2022-11-23T01:32:37.2498237Z             
2022-11-23T01:32:37.2498497Z [2022-11-23 01:17:14,481] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 101
2022-11-23T01:32:37.2498502Z 
2022-11-23T01:32:37.2498506Z 
2022-11-23T01:32:37.2498602Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2498672Z import torch
2022-11-23T01:32:37.2498742Z import random
2022-11-23T01:32:37.2498857Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2498978Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2498984Z 
2022-11-23T01:32:37.2499048Z aten = torch.ops.aten
2022-11-23T01:32:37.2499182Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2499274Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2499281Z 
2022-11-23T01:32:37.2499285Z 
2022-11-23T01:32:37.2499418Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2499623Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2499742Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2499848Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2499952Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2500043Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2500145Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2500205Z {
2022-11-23T01:32:37.2500301Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2500364Z     {
2022-11-23T01:32:37.2500441Z         #pragma omp for 
2022-11-23T01:32:37.2500522Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.2500573Z         {
2022-11-23T01:32:37.2500660Z             for(long i1=0; i1<784; i1+=1)
2022-11-23T01:32:37.2500757Z             {
2022-11-23T01:32:37.2500908Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (12544*i0));
2022-11-23T01:32:37.2501035Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2501156Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2501281Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2501429Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2501548Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2501751Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2501839Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2501926Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2502025Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2502158Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2502247Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2502338Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2502416Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2502506Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2502618Z                 tmp14.store(in_out_ptr0 + (16*i1) + (12544*i0));
2022-11-23T01:32:37.2502685Z             }
2022-11-23T01:32:37.2502781Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2502872Z             for(long i1=12544; i1<12544; i1+=1)
2022-11-23T01:32:37.2502936Z             {
2022-11-23T01:32:37.2503026Z                 auto tmp0 = in_out_ptr0[i1 + (12544*i0)];
2022-11-23T01:32:37.2503113Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2503199Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2503285Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2503369Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2503498Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2503651Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2503723Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2503818Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2503899Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2503998Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2504084Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2504170Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2504261Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2504338Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2504505Z                 in_out_ptr0[i1 + (12544*i0)] = tmp14;
2022-11-23T01:32:37.2504577Z             }
2022-11-23T01:32:37.2504641Z         }
2022-11-23T01:32:37.2504706Z     }
2022-11-23T01:32:37.2504767Z }
2022-11-23T01:32:37.2504849Z ''')
2022-11-23T01:32:37.2504856Z 
2022-11-23T01:32:37.2504860Z 
2022-11-23T01:32:37.2504937Z async_compile.wait(globals())
2022-11-23T01:32:37.2505011Z del async_compile
2022-11-23T01:32:37.2505016Z 
2022-11-23T01:32:37.2505087Z def call(args):
2022-11-23T01:32:37.2505203Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.2505276Z     args.clear()
2022-11-23T01:32:37.2505414Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1, 1), (0, 0), (2, 2), False, (0, 0), 1)
2022-11-23T01:32:37.2505530Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 12544, 112, 1))
2022-11-23T01:32:37.2505599Z     del arg0_1
2022-11-23T01:32:37.2505652Z     del arg6_1
2022-11-23T01:32:37.2505774Z     buf1 = as_strided(buf0, (1, 32, 112, 112), (401408, 12544, 112, 1)); del buf0  # reuse
2022-11-23T01:32:37.2505988Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.2506097Z     del arg1_1
2022-11-23T01:32:37.2506162Z     del arg2_1
2022-11-23T01:32:37.2506227Z     del arg3_1
2022-11-23T01:32:37.2506291Z     del arg4_1
2022-11-23T01:32:37.2506349Z     return (buf1, )
2022-11-23T01:32:37.2506354Z 
2022-11-23T01:32:37.2506358Z 
2022-11-23T01:32:37.2506432Z if __name__ == "__main__":
2022-11-23T01:32:37.2506545Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2506664Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2506910Z     arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2507105Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2507296Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2507487Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2507660Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2507841Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2508062Z     arg6_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2508209Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.2508214Z 
2022-11-23T01:32:37.2508218Z 
2022-11-23T01:32:37.2508311Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2508383Z import torch
2022-11-23T01:32:37.2508452Z import random
2022-11-23T01:32:37.2508565Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2508673Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2508678Z 
2022-11-23T01:32:37.2508756Z aten = torch.ops.aten
2022-11-23T01:32:37.2508887Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2508977Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2508982Z 
2022-11-23T01:32:37.2508986Z 
2022-11-23T01:32:37.2509120Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2509323Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2509437Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2509540Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2509630Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2509733Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2509832Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2509892Z {
2022-11-23T01:32:37.2509989Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2510049Z     {
2022-11-23T01:32:37.2510126Z         #pragma omp for 
2022-11-23T01:32:37.2510197Z         for(long i0=0; i0<12544; i0+=1)
2022-11-23T01:32:37.2510259Z         {
2022-11-23T01:32:37.2510340Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:37.2510403Z             {
2022-11-23T01:32:37.2510550Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (32*i0));
2022-11-23T01:32:37.2510685Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i1);
2022-11-23T01:32:37.2510817Z                 auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i1);
2022-11-23T01:32:37.2510950Z                 auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr2 + 16*i1);
2022-11-23T01:32:37.2511072Z                 auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr3 + 16*i1);
2022-11-23T01:32:37.2511201Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2511405Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2511492Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2511578Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2511678Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2511811Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2511935Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2512010Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2512100Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2512190Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2512298Z                 tmp14.store(in_out_ptr0 + (16*i1) + (32*i0));
2022-11-23T01:32:37.2512361Z             }
2022-11-23T01:32:37.2512496Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2512582Z             for(long i1=32; i1<32; i1+=1)
2022-11-23T01:32:37.2512633Z             {
2022-11-23T01:32:37.2512734Z                 auto tmp0 = in_out_ptr0[i1 + (32*i0)];
2022-11-23T01:32:37.2512820Z                 auto tmp1 = in_ptr0[i1];
2022-11-23T01:32:37.2512906Z                 auto tmp3 = in_ptr1[i1];
2022-11-23T01:32:37.2512992Z                 auto tmp11 = in_ptr2[i1];
2022-11-23T01:32:37.2513078Z                 auto tmp13 = in_ptr3[i1];
2022-11-23T01:32:37.2513207Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2513349Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2513434Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2513528Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2513611Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2513710Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2513793Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2513882Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2513959Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2514048Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2514143Z                 in_out_ptr0[i1 + (32*i0)] = tmp14;
2022-11-23T01:32:37.2514210Z             }
2022-11-23T01:32:37.2514275Z         }
2022-11-23T01:32:37.2514338Z     }
2022-11-23T01:32:37.2514399Z }
2022-11-23T01:32:37.2514464Z ''')
2022-11-23T01:32:37.2514469Z 
2022-11-23T01:32:37.2514476Z 
2022-11-23T01:32:37.2514566Z async_compile.wait(globals())
2022-11-23T01:32:37.2514640Z del async_compile
2022-11-23T01:32:37.2514645Z 
2022-11-23T01:32:37.2514715Z def call(args):
2022-11-23T01:32:37.2514825Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.2514896Z     args.clear()
2022-11-23T01:32:37.2515031Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1, 1), (0, 0), (2, 2), False, (0, 0), 1)
2022-11-23T01:32:37.2515146Z     assert_size_stride(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32))
2022-11-23T01:32:37.2515201Z     del arg0_1
2022-11-23T01:32:37.2515267Z     del arg6_1
2022-11-23T01:32:37.2515388Z     buf1 = as_strided(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32)); del buf0  # reuse
2022-11-23T01:32:37.2515602Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.2515671Z     del arg1_1
2022-11-23T01:32:37.2515742Z     del arg2_1
2022-11-23T01:32:37.2515806Z     del arg3_1
2022-11-23T01:32:37.2515859Z     del arg4_1
2022-11-23T01:32:37.2515929Z     return (buf1, )
2022-11-23T01:32:37.2515933Z 
2022-11-23T01:32:37.2515937Z 
2022-11-23T01:32:37.2516013Z if __name__ == "__main__":
2022-11-23T01:32:37.2516126Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2516246Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2516457Z     arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2516649Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2516839Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2517014Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2517302Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2517483Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2517762Z     arg6_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2517912Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.2518286Z [2022-11-23 01:17:14,512] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5y/c5ybkllbgcgcwkgxs4ahq635xdb744n3dnvk6iwtlc4xkenxtrdi.py
2022-11-23T01:32:37.2518591Z [2022-11-23 01:17:14,512] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 101
2022-11-23T01:32:37.2518834Z [2022-11-23 01:17:14,649] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2519091Z [2022-11-23 01:17:14,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2519309Z [2022-11-23 01:17:14,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2519555Z [2022-11-23 01:17:14,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2519833Z [2022-11-23 01:17:14,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2520150Z [2022-11-23 01:17:14,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2520400Z [2022-11-23 01:17:14,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2520637Z [2022-11-23 01:17:14,681] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2520888Z [2022-11-23 01:17:14,682] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2521136Z [2022-11-23 01:17:14,710] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2521327Z [2022-11-23 01:17:14,711] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2521445Z  __compiled_fn_103 <eval_with_key>.672 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2521533Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2521634Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2521736Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2521834Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2521842Z 
2022-11-23T01:32:37.2522118Z [2022-11-23 01:17:14,711] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2522210Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2522303Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2522382Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2522473Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2522548Z               8 RETURN_VALUE
2022-11-23T01:32:37.2522556Z 
2022-11-23T01:32:37.2522617Z  
2022-11-23T01:32:37.2522892Z [2022-11-23 01:17:14,711] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2522999Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_103)
2022-11-23T01:32:37.2523089Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2523164Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2523241Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2523330Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2523420Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2523496Z              12 RETURN_VALUE
2022-11-23T01:32:37.2523501Z 
2022-11-23T01:32:37.2523562Z  
2022-11-23T01:32:37.2523742Z [2022-11-23 01:17:14,712] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2523799Z  - 
2022-11-23T01:32:37.2523916Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2524018Z             {
2022-11-23T01:32:37.2524158Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2524342Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2524461Z                 'obj_weakref': None
2022-11-23T01:32:37.2524683Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2524735Z             }
2022-11-23T01:32:37.2524798Z             
2022-11-23T01:32:37.2524893Z  - 
2022-11-23T01:32:37.2525017Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2525079Z             {
2022-11-23T01:32:37.2525221Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2525325Z                 'code': None,
2022-11-23T01:32:37.2525520Z                 'obj_weakref': <weakref at 0x7f710672d1d0; to 'Tensor' at 0x7f710671c170>
2022-11-23T01:32:37.2525765Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2525831Z             }
2022-11-23T01:32:37.2525894Z             
2022-11-23T01:32:37.2525964Z  - 
2022-11-23T01:32:37.2526083Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2526146Z             {
2022-11-23T01:32:37.2526267Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2526434Z                 'code': ['___check_obj_id(model, 140125782100432)'],
2022-11-23T01:32:37.2526649Z                 'obj_weakref': <weakref at 0x7f7106722f50; to 'Sequential' at 0x7f71937749d0>
2022-11-23T01:32:37.2526879Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2526942Z             }
2022-11-23T01:32:37.2527004Z             
2022-11-23T01:32:37.2527070Z  - 
2022-11-23T01:32:37.2527178Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2527239Z             {
2022-11-23T01:32:37.2527374Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2527592Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2527711Z                 'obj_weakref': None
2022-11-23T01:32:37.2527928Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2527991Z             }
2022-11-23T01:32:37.2528053Z             
2022-11-23T01:32:37.2528109Z  - 
2022-11-23T01:32:37.2528251Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2528314Z             {
2022-11-23T01:32:37.2528435Z                 'guard_types': None,
2022-11-23T01:32:37.2528542Z                 'code': None,
2022-11-23T01:32:37.2528660Z                 'obj_weakref': None
2022-11-23T01:32:37.2528767Z                 'guarded_class': None
2022-11-23T01:32:37.2528830Z             }
2022-11-23T01:32:37.2528892Z             
2022-11-23T01:32:37.2528964Z  - 
2022-11-23T01:32:37.2529108Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2529171Z             {
2022-11-23T01:32:37.2529290Z                 'guard_types': None,
2022-11-23T01:32:37.2529385Z                 'code': None,
2022-11-23T01:32:37.2529502Z                 'obj_weakref': None
2022-11-23T01:32:37.2529621Z                 'guarded_class': None
2022-11-23T01:32:37.2529684Z             }
2022-11-23T01:32:37.2529748Z             
2022-11-23T01:32:37.2530009Z [2022-11-23 01:17:14,761] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 102
2022-11-23T01:32:37.2530374Z [2022-11-23 01:17:14,792] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zr/czrq67ottmewm345iuweljamvu3nkglzxp2damu7q7h3ffvqgflt.py
2022-11-23T01:32:37.2530621Z [2022-11-23 01:17:14,793] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 102
2022-11-23T01:32:37.2530858Z [2022-11-23 01:17:15,234] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2531125Z [2022-11-23 01:17:15,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2531375Z [2022-11-23 01:17:15,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2531619Z [2022-11-23 01:17:15,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2531893Z [2022-11-23 01:17:15,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2532241Z [2022-11-23 01:17:15,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2532490Z [2022-11-23 01:17:15,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2532721Z [2022-11-23 01:17:15,267] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2532973Z [2022-11-23 01:17:15,268] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2533209Z [2022-11-23 01:17:15,297] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2533395Z [2022-11-23 01:17:15,298] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2533526Z  __compiled_fn_104 <eval_with_key>.678 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2533618Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2533719Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2533823Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2533921Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2533928Z 
2022-11-23T01:32:37.2534206Z [2022-11-23 01:17:15,299] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2534287Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2534379Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2534472Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2534565Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2534643Z               8 RETURN_VALUE
2022-11-23T01:32:37.2534648Z 
2022-11-23T01:32:37.2534711Z  
2022-11-23T01:32:37.2534990Z [2022-11-23 01:17:15,299] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2535098Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_104)
2022-11-23T01:32:37.2535177Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2535266Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2535343Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2535431Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2535521Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2535595Z              12 RETURN_VALUE
2022-11-23T01:32:37.2535600Z 
2022-11-23T01:32:37.2535660Z  
2022-11-23T01:32:37.2535827Z [2022-11-23 01:17:15,300] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2535897Z  - 
2022-11-23T01:32:37.2536015Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2536079Z             {
2022-11-23T01:32:37.2536221Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2536405Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2536522Z                 'obj_weakref': None
2022-11-23T01:32:37.2536732Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2536795Z             }
2022-11-23T01:32:37.2536859Z             
2022-11-23T01:32:37.2536927Z  - 
2022-11-23T01:32:37.2537049Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2537113Z             {
2022-11-23T01:32:37.2537253Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2537346Z                 'code': None,
2022-11-23T01:32:37.2537551Z                 'obj_weakref': <weakref at 0x7f71063c6170; to 'Tensor' at 0x7f70f2e14290>
2022-11-23T01:32:37.2537836Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2537900Z             }
2022-11-23T01:32:37.2537963Z             
2022-11-23T01:32:37.2538030Z  - 
2022-11-23T01:32:37.2538148Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2538198Z             {
2022-11-23T01:32:37.2538331Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2538526Z                 'code': ['___check_obj_id(model, 140125782100432)'],
2022-11-23T01:32:37.2538790Z                 'obj_weakref': <weakref at 0x7f7106722f50; to 'Sequential' at 0x7f71937749d0>
2022-11-23T01:32:37.2539020Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2539127Z             }
2022-11-23T01:32:37.2539190Z             
2022-11-23T01:32:37.2539245Z  - 
2022-11-23T01:32:37.2539365Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2539428Z             {
2022-11-23T01:32:37.2539564Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2539780Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2539897Z                 'obj_weakref': None
2022-11-23T01:32:37.2540113Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2540163Z             }
2022-11-23T01:32:37.2540225Z             
2022-11-23T01:32:37.2540296Z  - 
2022-11-23T01:32:37.2540440Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2540503Z             {
2022-11-23T01:32:37.2540622Z                 'guard_types': None,
2022-11-23T01:32:37.2540727Z                 'code': None,
2022-11-23T01:32:37.2540831Z                 'obj_weakref': None
2022-11-23T01:32:37.2540950Z                 'guarded_class': None
2022-11-23T01:32:37.2541013Z             }
2022-11-23T01:32:37.2541076Z             
2022-11-23T01:32:37.2541143Z  - 
2022-11-23T01:32:37.2541289Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2541338Z             {
2022-11-23T01:32:37.2541455Z                 'guard_types': None,
2022-11-23T01:32:37.2541559Z                 'code': None,
2022-11-23T01:32:37.2541674Z                 'obj_weakref': None
2022-11-23T01:32:37.2541793Z                 'guarded_class': None
2022-11-23T01:32:37.2541855Z             }
2022-11-23T01:32:37.2541917Z             
2022-11-23T01:32:37.2542164Z [2022-11-23 01:17:15,346] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 103
2022-11-23T01:32:37.2542182Z 
2022-11-23T01:32:37.2542187Z 
2022-11-23T01:32:37.2542266Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2542334Z import torch
2022-11-23T01:32:37.2542401Z import random
2022-11-23T01:32:37.2542515Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2542635Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2542639Z 
2022-11-23T01:32:37.2542719Z aten = torch.ops.aten
2022-11-23T01:32:37.2542852Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2542930Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2542947Z 
2022-11-23T01:32:37.2542952Z 
2022-11-23T01:32:37.2543072Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2543278Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2543397Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2543501Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2543605Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2543705Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2543806Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2543853Z {
2022-11-23T01:32:37.2543950Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2544010Z     {
2022-11-23T01:32:37.2544118Z         #pragma omp for 
2022-11-23T01:32:37.2544200Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.2544263Z         {
2022-11-23T01:32:37.2544348Z             for(long i1=0; i1<784; i1+=1)
2022-11-23T01:32:37.2544398Z             {
2022-11-23T01:32:37.2544630Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (12544*i0));
2022-11-23T01:32:37.2544760Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2544919Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2545047Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2545170Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2545304Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2545526Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2545601Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2545691Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2545791Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2545924Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2546010Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2546097Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2546187Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2546278Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2546374Z                 tmp14.store(in_out_ptr0 + (16*i1) + (12544*i0));
2022-11-23T01:32:37.2546437Z             }
2022-11-23T01:32:37.2546532Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2546623Z             for(long i1=12544; i1<12544; i1+=1)
2022-11-23T01:32:37.2546688Z             {
2022-11-23T01:32:37.2546790Z                 auto tmp0 = in_out_ptr0[i1 + (12544*i0)];
2022-11-23T01:32:37.2546878Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2546953Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2547041Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2547128Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2547256Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2547410Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2547494Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2547591Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2547660Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2547760Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2547844Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2547929Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2548020Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2548108Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2548204Z                 in_out_ptr0[i1 + (12544*i0)] = tmp14;
2022-11-23T01:32:37.2548258Z             }
2022-11-23T01:32:37.2548320Z         }
2022-11-23T01:32:37.2548382Z     }
2022-11-23T01:32:37.2548442Z }
2022-11-23T01:32:37.2548518Z ''')
2022-11-23T01:32:37.2548524Z 
2022-11-23T01:32:37.2548528Z 
2022-11-23T01:32:37.2548616Z async_compile.wait(globals())
2022-11-23T01:32:37.2548687Z del async_compile
2022-11-23T01:32:37.2548692Z 
2022-11-23T01:32:37.2548748Z def call(args):
2022-11-23T01:32:37.2548862Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.2548933Z     args.clear()
2022-11-23T01:32:37.2549069Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1, 1), (0, 0), (2, 2), False, (0, 0), 4)
2022-11-23T01:32:37.2549182Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 12544, 112, 1))
2022-11-23T01:32:37.2549249Z     del arg0_1
2022-11-23T01:32:37.2549315Z     del arg6_1
2022-11-23T01:32:37.2549425Z     buf1 = as_strided(buf0, (1, 128, 112, 112), (1605632, 12544, 112, 1)); del buf0  # reuse
2022-11-23T01:32:37.2549667Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.2549734Z     del arg1_1
2022-11-23T01:32:37.2549800Z     del arg2_1
2022-11-23T01:32:37.2549865Z     del arg3_1
2022-11-23T01:32:37.2549930Z     del arg4_1
2022-11-23T01:32:37.2550000Z     return (buf1, )
2022-11-23T01:32:37.2550005Z 
2022-11-23T01:32:37.2550009Z 
2022-11-23T01:32:37.2550084Z if __name__ == "__main__":
2022-11-23T01:32:37.2550212Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2550333Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2550546Z     arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2550743Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2550936Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2551129Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2551314Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2551493Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2551706Z     arg6_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2551856Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.2551862Z 
2022-11-23T01:32:37.2551866Z 
2022-11-23T01:32:37.2551959Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2552028Z import torch
2022-11-23T01:32:37.2552099Z import random
2022-11-23T01:32:37.2552212Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2552331Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2552336Z 
2022-11-23T01:32:37.2552413Z aten = torch.ops.aten
2022-11-23T01:32:37.2552536Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2552626Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2552631Z 
2022-11-23T01:32:37.2552635Z 
2022-11-23T01:32:37.2552765Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2552967Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2553081Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2553189Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2553291Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2553392Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2553506Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2553566Z {
2022-11-23T01:32:37.2553662Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2553724Z     {
2022-11-23T01:32:37.2553800Z         #pragma omp for 
2022-11-23T01:32:37.2553886Z         for(long i0=0; i0<12544; i0+=1)
2022-11-23T01:32:37.2553949Z         {
2022-11-23T01:32:37.2554018Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:37.2554080Z             {
2022-11-23T01:32:37.2554227Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (128*i0));
2022-11-23T01:32:37.2554361Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i1);
2022-11-23T01:32:37.2554495Z                 auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i1);
2022-11-23T01:32:37.2554628Z                 auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr2 + 16*i1);
2022-11-23T01:32:37.2554759Z                 auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr3 + 16*i1);
2022-11-23T01:32:37.2554888Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2555081Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2555168Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2555286Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2555386Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2555519Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2555604Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2555693Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2555784Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2555900Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2556009Z                 tmp14.store(in_out_ptr0 + (16*i1) + (128*i0));
2022-11-23T01:32:37.2556072Z             }
2022-11-23T01:32:37.2556164Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2556252Z             for(long i1=128; i1<128; i1+=1)
2022-11-23T01:32:37.2556316Z             {
2022-11-23T01:32:37.2556415Z                 auto tmp0 = in_out_ptr0[i1 + (128*i0)];
2022-11-23T01:32:37.2556488Z                 auto tmp1 = in_ptr0[i1];
2022-11-23T01:32:37.2556574Z                 auto tmp3 = in_ptr1[i1];
2022-11-23T01:32:37.2556660Z                 auto tmp11 = in_ptr2[i1];
2022-11-23T01:32:37.2556746Z                 auto tmp13 = in_ptr3[i1];
2022-11-23T01:32:37.2556871Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2557024Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2557241Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2557327Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2557413Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2557516Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2557602Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2557688Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2557780Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2557869Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2557951Z                 in_out_ptr0[i1 + (128*i0)] = tmp14;
2022-11-23T01:32:37.2558018Z             }
2022-11-23T01:32:37.2558082Z         }
2022-11-23T01:32:37.2558146Z     }
2022-11-23T01:32:37.2558210Z }
2022-11-23T01:32:37.2558291Z ''')
2022-11-23T01:32:37.2558296Z 
2022-11-23T01:32:37.2558301Z 
2022-11-23T01:32:37.2558390Z async_compile.wait(globals())
2022-11-23T01:32:37.2558450Z del async_compile
2022-11-23T01:32:37.2558455Z 
2022-11-23T01:32:37.2558527Z def call(args):
2022-11-23T01:32:37.2558640Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.2558714Z     args.clear()
2022-11-23T01:32:37.2558853Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1, 1), (0, 0), (2, 2), False, (0, 0), 4)
2022-11-23T01:32:37.2558965Z     assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128))
2022-11-23T01:32:37.2559031Z     del arg0_1
2022-11-23T01:32:37.2559085Z     del arg6_1
2022-11-23T01:32:37.2559208Z     buf1 = as_strided(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128)); del buf0  # reuse
2022-11-23T01:32:37.2559421Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.2559491Z     del arg1_1
2022-11-23T01:32:37.2559556Z     del arg2_1
2022-11-23T01:32:37.2559622Z     del arg3_1
2022-11-23T01:32:37.2559686Z     del arg4_1
2022-11-23T01:32:37.2559744Z     return (buf1, )
2022-11-23T01:32:37.2559762Z 
2022-11-23T01:32:37.2559766Z 
2022-11-23T01:32:37.2559828Z if __name__ == "__main__":
2022-11-23T01:32:37.2559942Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2560064Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2560276Z     arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2560471Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2560664Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2560853Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2561106Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2561270Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2561493Z     arg6_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2561678Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.2562068Z [2022-11-23 01:17:15,377] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oo/coovdfz4yybqmshbgisrsgqsjyuffsgflcppwzrvlhviki7t5bl3.py
2022-11-23T01:32:37.2562337Z [2022-11-23 01:17:15,377] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 103
2022-11-23T01:32:37.2562574Z [2022-11-23 01:17:15,765] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2562841Z [2022-11-23 01:17:15,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2563058Z [2022-11-23 01:17:15,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2563300Z [2022-11-23 01:17:15,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2563566Z [2022-11-23 01:17:15,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2563880Z [2022-11-23 01:17:15,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2564127Z [2022-11-23 01:17:15,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2564364Z [2022-11-23 01:17:15,798] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2564618Z [2022-11-23 01:17:15,799] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2564868Z [2022-11-23 01:17:15,827] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2565061Z [2022-11-23 01:17:15,827] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2565193Z  __compiled_fn_105 <eval_with_key>.684 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2565283Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2565373Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2565476Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2565575Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2565581Z 
2022-11-23T01:32:37.2565859Z [2022-11-23 01:17:15,827] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2565954Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2566046Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2566142Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2566219Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2566295Z               8 RETURN_VALUE
2022-11-23T01:32:37.2566300Z 
2022-11-23T01:32:37.2566363Z  
2022-11-23T01:32:37.2566641Z [2022-11-23 01:17:15,828] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2566752Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_105)
2022-11-23T01:32:37.2566842Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2566931Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2567008Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2567085Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2567177Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2567252Z              12 RETURN_VALUE
2022-11-23T01:32:37.2567257Z 
2022-11-23T01:32:37.2567352Z  
2022-11-23T01:32:37.2567535Z [2022-11-23 01:17:15,829] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2567605Z  - 
2022-11-23T01:32:37.2567723Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2567775Z             {
2022-11-23T01:32:37.2567918Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2568105Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2568226Z                 'obj_weakref': None
2022-11-23T01:32:37.2568477Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2568543Z             }
2022-11-23T01:32:37.2568606Z             
2022-11-23T01:32:37.2568662Z  - 
2022-11-23T01:32:37.2568785Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2568849Z             {
2022-11-23T01:32:37.2568992Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2569098Z                 'code': None,
2022-11-23T01:32:37.2569302Z                 'obj_weakref': <weakref at 0x7f7106747a70; to 'Tensor' at 0x7f7106747cb0>
2022-11-23T01:32:37.2569556Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2569607Z             }
2022-11-23T01:32:37.2569670Z             
2022-11-23T01:32:37.2569737Z  - 
2022-11-23T01:32:37.2569857Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2569919Z             {
2022-11-23T01:32:37.2570057Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2570225Z                 'code': ['___check_obj_id(model, 140124011929552)'],
2022-11-23T01:32:37.2570427Z                 'obj_weakref': <weakref at 0x7f7106792cb0; to 'Sequential' at 0x7f7129f49fd0>
2022-11-23T01:32:37.2570661Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2576307Z             }
2022-11-23T01:32:37.2576412Z             
2022-11-23T01:32:37.2576511Z  - 
2022-11-23T01:32:37.2576651Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2576719Z             {
2022-11-23T01:32:37.2576849Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2577078Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2577199Z                 'obj_weakref': None
2022-11-23T01:32:37.2577422Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2577492Z             }
2022-11-23T01:32:37.2577556Z             
2022-11-23T01:32:37.2577624Z  - 
2022-11-23T01:32:37.2577760Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2577822Z             {
2022-11-23T01:32:37.2577942Z                 'guard_types': None,
2022-11-23T01:32:37.2578047Z                 'code': None,
2022-11-23T01:32:37.2578164Z                 'obj_weakref': None
2022-11-23T01:32:37.2578285Z                 'guarded_class': None
2022-11-23T01:32:37.2578348Z             }
2022-11-23T01:32:37.2578401Z             
2022-11-23T01:32:37.2578468Z  - 
2022-11-23T01:32:37.2578614Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2578676Z             {
2022-11-23T01:32:37.2578793Z                 'guard_types': None,
2022-11-23T01:32:37.2578898Z                 'code': None,
2022-11-23T01:32:37.2579013Z                 'obj_weakref': None
2022-11-23T01:32:37.2579120Z                 'guarded_class': None
2022-11-23T01:32:37.2579181Z             }
2022-11-23T01:32:37.2579245Z             
2022-11-23T01:32:37.2579510Z [2022-11-23 01:17:15,875] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 104
2022-11-23T01:32:37.2579891Z [2022-11-23 01:17:15,907] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ap/capwj7zdzddtxglll4a66pypebwrksndj25ldpj6lkjz3zopvpch.py
2022-11-23T01:32:37.2580158Z [2022-11-23 01:17:15,907] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 104
2022-11-23T01:32:37.2580480Z [2022-11-23 01:17:16,021] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2580748Z [2022-11-23 01:17:16,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2580952Z [2022-11-23 01:17:16,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2581232Z [2022-11-23 01:17:16,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2581510Z [2022-11-23 01:17:16,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2581827Z [2022-11-23 01:17:16,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2582073Z [2022-11-23 01:17:16,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2582307Z [2022-11-23 01:17:16,053] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2582563Z [2022-11-23 01:17:16,054] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2582812Z [2022-11-23 01:17:16,082] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2583004Z [2022-11-23 01:17:16,083] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2583127Z  __compiled_fn_106 <eval_with_key>.690 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2583218Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2583317Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2583418Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2583517Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2583523Z 
2022-11-23T01:32:37.2583798Z [2022-11-23 01:17:16,083] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2583893Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2583985Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2584063Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2584153Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2584230Z               8 RETURN_VALUE
2022-11-23T01:32:37.2584235Z 
2022-11-23T01:32:37.2584296Z  
2022-11-23T01:32:37.2584666Z [2022-11-23 01:17:16,083] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2584778Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_106)
2022-11-23T01:32:37.2584873Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2584951Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2585028Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2585118Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2585210Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2585288Z              12 RETURN_VALUE
2022-11-23T01:32:37.2585293Z 
2022-11-23T01:32:37.2585354Z  
2022-11-23T01:32:37.2585538Z [2022-11-23 01:17:16,084] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2585608Z  - 
2022-11-23T01:32:37.2585714Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2585779Z             {
2022-11-23T01:32:37.2585921Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2586110Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2586230Z                 'obj_weakref': None
2022-11-23T01:32:37.2586456Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2586521Z             }
2022-11-23T01:32:37.2586571Z             
2022-11-23T01:32:37.2586641Z  - 
2022-11-23T01:32:37.2586763Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2586826Z             {
2022-11-23T01:32:37.2587004Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2587110Z                 'code': None,
2022-11-23T01:32:37.2587304Z                 'obj_weakref': <weakref at 0x7f710672ed10; to 'Tensor' at 0x7f71069b2bf0>
2022-11-23T01:32:37.2587552Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2587618Z             }
2022-11-23T01:32:37.2587681Z             
2022-11-23T01:32:37.2587749Z  - 
2022-11-23T01:32:37.2587895Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2587958Z             {
2022-11-23T01:32:37.2588081Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2588248Z                 'code': ['___check_obj_id(model, 140124011929552)'],
2022-11-23T01:32:37.2588460Z                 'obj_weakref': <weakref at 0x7f7106792cb0; to 'Sequential' at 0x7f7129f49fd0>
2022-11-23T01:32:37.2588692Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2588758Z             }
2022-11-23T01:32:37.2588821Z             
2022-11-23T01:32:37.2588889Z  - 
2022-11-23T01:32:37.2589061Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2589111Z             {
2022-11-23T01:32:37.2589246Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2589462Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2589578Z                 'obj_weakref': None
2022-11-23T01:32:37.2589794Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2589857Z             }
2022-11-23T01:32:37.2589920Z             
2022-11-23T01:32:37.2590000Z  - 
2022-11-23T01:32:37.2590143Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2590205Z             {
2022-11-23T01:32:37.2590324Z                 'guard_types': None,
2022-11-23T01:32:37.2590430Z                 'code': None,
2022-11-23T01:32:37.2590549Z                 'obj_weakref': None
2022-11-23T01:32:37.2590670Z                 'guarded_class': None
2022-11-23T01:32:37.2590720Z             }
2022-11-23T01:32:37.2590783Z             
2022-11-23T01:32:37.2590850Z  - 
2022-11-23T01:32:37.2590992Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2591056Z             {
2022-11-23T01:32:37.2591172Z                 'guard_types': None,
2022-11-23T01:32:37.2591264Z                 'code': None,
2022-11-23T01:32:37.2591382Z                 'obj_weakref': None
2022-11-23T01:32:37.2591502Z                 'guarded_class': None
2022-11-23T01:32:37.2591565Z             }
2022-11-23T01:32:37.2591629Z             
2022-11-23T01:32:37.2591889Z [2022-11-23 01:17:16,132] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 105
2022-11-23T01:32:37.2591895Z 
2022-11-23T01:32:37.2591899Z 
2022-11-23T01:32:37.2591991Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2592058Z import torch
2022-11-23T01:32:37.2592113Z import random
2022-11-23T01:32:37.2592231Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2592352Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2592357Z 
2022-11-23T01:32:37.2592436Z aten = torch.ops.aten
2022-11-23T01:32:37.2592569Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2592662Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2592667Z 
2022-11-23T01:32:37.2592671Z 
2022-11-23T01:32:37.2592806Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2593009Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2593114Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2593216Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2593319Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2593420Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2593553Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2593614Z {
2022-11-23T01:32:37.2593711Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2593760Z     {
2022-11-23T01:32:37.2593836Z         #pragma omp for 
2022-11-23T01:32:37.2593918Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.2593982Z         {
2022-11-23T01:32:37.2594069Z             for(long i1=0; i1<756; i1+=1)
2022-11-23T01:32:37.2594133Z             {
2022-11-23T01:32:37.2594322Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (12100*i0));
2022-11-23T01:32:37.2594437Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2594556Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2594681Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2594800Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2594931Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2595137Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2595225Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2595312Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2595399Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2595533Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2595622Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2595713Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2595804Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2595892Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2596001Z                 tmp14.store(in_out_ptr0 + (16*i1) + (12100*i0));
2022-11-23T01:32:37.2596052Z             }
2022-11-23T01:32:37.2596145Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2596234Z             for(long i1=12096; i1<12100; i1+=1)
2022-11-23T01:32:37.2596299Z             {
2022-11-23T01:32:37.2596401Z                 auto tmp0 = in_out_ptr0[i1 + (12100*i0)];
2022-11-23T01:32:37.2596489Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2596574Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2596649Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2596735Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2596861Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2597017Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2597101Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2597336Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2597419Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2597521Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2597593Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2597680Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2597774Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2597864Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2597962Z                 in_out_ptr0[i1 + (12100*i0)] = tmp14;
2022-11-23T01:32:37.2598028Z             }
2022-11-23T01:32:37.2598094Z         }
2022-11-23T01:32:37.2598143Z     }
2022-11-23T01:32:37.2598203Z }
2022-11-23T01:32:37.2598283Z ''')
2022-11-23T01:32:37.2598289Z 
2022-11-23T01:32:37.2598293Z 
2022-11-23T01:32:37.2598387Z async_compile.wait(globals())
2022-11-23T01:32:37.2598462Z del async_compile
2022-11-23T01:32:37.2598469Z 
2022-11-23T01:32:37.2598540Z def call(args):
2022-11-23T01:32:37.2598653Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.2598713Z     args.clear()
2022-11-23T01:32:37.2598851Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:37.2598965Z     assert_size_stride(buf0, (1, 32, 110, 110), (387200, 12100, 110, 1))
2022-11-23T01:32:37.2599104Z     del arg0_1
2022-11-23T01:32:37.2599170Z     del arg6_1
2022-11-23T01:32:37.2599295Z     buf1 = as_strided(buf0, (1, 32, 110, 110), (387200, 12100, 110, 1)); del buf0  # reuse
2022-11-23T01:32:37.2599508Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.2599562Z     del arg1_1
2022-11-23T01:32:37.2599633Z     del arg2_1
2022-11-23T01:32:37.2599732Z     del arg3_1
2022-11-23T01:32:37.2599800Z     del arg4_1
2022-11-23T01:32:37.2599872Z     return (buf1, )
2022-11-23T01:32:37.2599877Z 
2022-11-23T01:32:37.2599883Z 
2022-11-23T01:32:37.2599960Z if __name__ == "__main__":
2022-11-23T01:32:37.2600076Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2600199Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2600402Z     arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2600600Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2600791Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2600976Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2601161Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2601340Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2601568Z     arg6_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2601716Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.2601722Z 
2022-11-23T01:32:37.2601726Z 
2022-11-23T01:32:37.2601818Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2601875Z import torch
2022-11-23T01:32:37.2601945Z import random
2022-11-23T01:32:37.2602060Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2602181Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2602185Z 
2022-11-23T01:32:37.2602263Z aten = torch.ops.aten
2022-11-23T01:32:37.2602396Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2602486Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2602491Z 
2022-11-23T01:32:37.2602495Z 
2022-11-23T01:32:37.2602615Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2602820Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2602938Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2603036Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.2603097Z {
2022-11-23T01:32:37.2603195Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2603257Z     {
2022-11-23T01:32:37.2603321Z         #pragma omp for 
2022-11-23T01:32:37.2603404Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.2603470Z         {
2022-11-23T01:32:37.2603551Z             #pragma GCC ivdep
2022-11-23T01:32:37.2603635Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:37.2603700Z             {
2022-11-23T01:32:37.2603783Z                 #pragma GCC ivdep
2022-11-23T01:32:37.2603859Z                 for(long i2=0; i2<9; i2+=1)
2022-11-23T01:32:37.2603925Z                 {
2022-11-23T01:32:37.2603992Z                     {
2022-11-23T01:32:37.2604061Z                         {
2022-11-23T01:32:37.2604175Z                             auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)];
2022-11-23T01:32:37.2604282Z                             out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0;
2022-11-23T01:32:37.2604350Z                         }
2022-11-23T01:32:37.2604405Z                     }
2022-11-23T01:32:37.2604470Z                 }
2022-11-23T01:32:37.2604533Z             }
2022-11-23T01:32:37.2604596Z         }
2022-11-23T01:32:37.2604659Z     }
2022-11-23T01:32:37.2604719Z }
2022-11-23T01:32:37.2604784Z ''')
2022-11-23T01:32:37.2604832Z 
2022-11-23T01:32:37.2604836Z 
2022-11-23T01:32:37.2604958Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.2605162Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2605278Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2605382Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2605485Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2605613Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2605716Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2605763Z {
2022-11-23T01:32:37.2605860Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2605922Z     {
2022-11-23T01:32:37.2605998Z         #pragma omp for 
2022-11-23T01:32:37.2606083Z         for(long i0=0; i0<12100; i0+=1)
2022-11-23T01:32:37.2606145Z         {
2022-11-23T01:32:37.2606226Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:37.2606279Z             {
2022-11-23T01:32:37.2606425Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (32*i0));
2022-11-23T01:32:37.2606559Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i1);
2022-11-23T01:32:37.2606692Z                 auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i1);
2022-11-23T01:32:37.2606831Z                 auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr2 + 16*i1);
2022-11-23T01:32:37.2606965Z                 auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr3 + 16*i1);
2022-11-23T01:32:37.2607098Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2607303Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2607391Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2607465Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2607566Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2607703Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2607790Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2607881Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2607970Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2608060Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2608156Z                 tmp14.store(in_out_ptr0 + (16*i1) + (32*i0));
2022-11-23T01:32:37.2608223Z             }
2022-11-23T01:32:37.2608313Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2608396Z             for(long i1=32; i1<32; i1+=1)
2022-11-23T01:32:37.2608461Z             {
2022-11-23T01:32:37.2608560Z                 auto tmp0 = in_out_ptr0[i1 + (32*i0)];
2022-11-23T01:32:37.2608647Z                 auto tmp1 = in_ptr0[i1];
2022-11-23T01:32:37.2608719Z                 auto tmp3 = in_ptr1[i1];
2022-11-23T01:32:37.2608806Z                 auto tmp11 = in_ptr2[i1];
2022-11-23T01:32:37.2608894Z                 auto tmp13 = in_ptr3[i1];
2022-11-23T01:32:37.2609022Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2609178Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2609261Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2609357Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2609426Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2609525Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2609612Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2609698Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2609788Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2609877Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2609970Z                 in_out_ptr0[i1 + (32*i0)] = tmp14;
2022-11-23T01:32:37.2610020Z             }
2022-11-23T01:32:37.2610082Z         }
2022-11-23T01:32:37.2610144Z     }
2022-11-23T01:32:37.2610204Z }
2022-11-23T01:32:37.2610311Z ''')
2022-11-23T01:32:37.2610316Z 
2022-11-23T01:32:37.2610321Z 
2022-11-23T01:32:37.2610411Z async_compile.wait(globals())
2022-11-23T01:32:37.2610483Z del async_compile
2022-11-23T01:32:37.2610488Z 
2022-11-23T01:32:37.2610557Z def call(args):
2022-11-23T01:32:37.2610657Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.2610728Z     args.clear()
2022-11-23T01:32:37.2610971Z     buf0 = empty_strided((32, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2611107Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.2611173Z     del arg0_1
2022-11-23T01:32:37.2611306Z     buf1 = aten.convolution(arg6_1, buf0, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:37.2611417Z     assert_size_stride(buf1, (1, 32, 110, 110), (387200, 1, 3520, 32))
2022-11-23T01:32:37.2611471Z     del arg6_1
2022-11-23T01:32:37.2611535Z     del buf0
2022-11-23T01:32:37.2611658Z     buf2 = as_strided(buf1, (1, 32, 110, 110), (387200, 1, 3520, 32)); del buf1  # reuse
2022-11-23T01:32:37.2611868Z     kernel_cpp_1(c_void_p(buf2.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.2611934Z     del arg1_1
2022-11-23T01:32:37.2611999Z     del arg2_1
2022-11-23T01:32:37.2612064Z     del arg3_1
2022-11-23T01:32:37.2612117Z     del arg4_1
2022-11-23T01:32:37.2612187Z     return (buf2, )
2022-11-23T01:32:37.2612195Z 
2022-11-23T01:32:37.2612199Z 
2022-11-23T01:32:37.2612276Z if __name__ == "__main__":
2022-11-23T01:32:37.2612389Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2612511Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2612720Z     arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2612912Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2613104Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2613279Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2613465Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2613643Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2613862Z     arg6_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2614010Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.2614377Z [2022-11-23 01:17:16,170] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/w7/cw777qdmgz3p7b4eg6d54ddrmvg44lfkl3gh25lwdyqzpe4mkqma.py
2022-11-23T01:32:37.2614644Z [2022-11-23 01:17:16,170] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 105
2022-11-23T01:32:37.2614884Z [2022-11-23 01:17:16,377] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2615151Z [2022-11-23 01:17:16,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2615353Z [2022-11-23 01:17:16,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2615595Z [2022-11-23 01:17:16,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2615869Z [2022-11-23 01:17:16,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2616184Z [2022-11-23 01:17:16,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2616429Z [2022-11-23 01:17:16,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2616661Z [2022-11-23 01:17:16,409] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2616944Z [2022-11-23 01:17:16,410] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2617188Z [2022-11-23 01:17:16,439] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2617376Z [2022-11-23 01:17:16,439] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2617536Z  __compiled_fn_107 <eval_with_key>.696 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2617625Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2617723Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2617824Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2617925Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2617930Z 
2022-11-23T01:32:37.2618207Z [2022-11-23 01:17:16,440] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2618303Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2618393Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2618471Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2618561Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2618639Z               8 RETURN_VALUE
2022-11-23T01:32:37.2618644Z 
2022-11-23T01:32:37.2618704Z  
2022-11-23T01:32:37.2618980Z [2022-11-23 01:17:16,440] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2619087Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_107)
2022-11-23T01:32:37.2619176Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2619253Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2619328Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2619416Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2619506Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2619584Z              12 RETURN_VALUE
2022-11-23T01:32:37.2619588Z 
2022-11-23T01:32:37.2619650Z  
2022-11-23T01:32:37.2619836Z [2022-11-23 01:17:16,441] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2619908Z  - 
2022-11-23T01:32:37.2620012Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2620078Z             {
2022-11-23T01:32:37.2620221Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2620407Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2620525Z                 'obj_weakref': None
2022-11-23T01:32:37.2620749Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2620814Z             }
2022-11-23T01:32:37.2620865Z             
2022-11-23T01:32:37.2620933Z  - 
2022-11-23T01:32:37.2621055Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2621118Z             {
2022-11-23T01:32:37.2621259Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2621366Z                 'code': None,
2022-11-23T01:32:37.2621572Z                 'obj_weakref': <weakref at 0x7f710672e3b0; to 'Tensor' at 0x7f7106c5a590>
2022-11-23T01:32:37.2621807Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2621870Z             }
2022-11-23T01:32:37.2621933Z             
2022-11-23T01:32:37.2622003Z  - 
2022-11-23T01:32:37.2622124Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2622186Z             {
2022-11-23T01:32:37.2622320Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2622475Z                 'code': ['___check_obj_id(model, 140123420994256)'],
2022-11-23T01:32:37.2622692Z                 'obj_weakref': <weakref at 0x7f70f2e81e90; to 'Sequential' at 0x7f7106bbaad0>
2022-11-23T01:32:37.2622925Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2622989Z             }
2022-11-23T01:32:37.2623081Z             
2022-11-23T01:32:37.2623149Z  - 
2022-11-23T01:32:37.2623270Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2623319Z             {
2022-11-23T01:32:37.2623454Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2623672Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2623789Z                 'obj_weakref': None
2022-11-23T01:32:37.2624034Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2624098Z             }
2022-11-23T01:32:37.2624160Z             
2022-11-23T01:32:37.2624216Z  - 
2022-11-23T01:32:37.2624361Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2624424Z             {
2022-11-23T01:32:37.2624659Z                 'guard_types': None,
2022-11-23T01:32:37.2624766Z                 'code': None,
2022-11-23T01:32:37.2624886Z                 'obj_weakref': None
2022-11-23T01:32:37.2625009Z                 'guarded_class': None
2022-11-23T01:32:37.2625060Z             }
2022-11-23T01:32:37.2625123Z             
2022-11-23T01:32:37.2625191Z  - 
2022-11-23T01:32:37.2625336Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2625399Z             {
2022-11-23T01:32:37.2625518Z                 'guard_types': None,
2022-11-23T01:32:37.2625610Z                 'code': None,
2022-11-23T01:32:37.2625726Z                 'obj_weakref': None
2022-11-23T01:32:37.2625850Z                 'guarded_class': None
2022-11-23T01:32:37.2625914Z             }
2022-11-23T01:32:37.2625978Z             
2022-11-23T01:32:37.2626240Z [2022-11-23 01:17:16,488] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 106
2022-11-23T01:32:37.2626619Z [2022-11-23 01:17:16,519] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ph/cphqqetxto4fgtocheiagv5sk2gjzevbuyvmtv2i7el3rsjgcqp6.py
2022-11-23T01:32:37.2626885Z [2022-11-23 01:17:16,520] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 106
2022-11-23T01:32:37.2627111Z [2022-11-23 01:17:16,936] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2627379Z [2022-11-23 01:17:16,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2627596Z [2022-11-23 01:17:16,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2627838Z [2022-11-23 01:17:16,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2628112Z [2022-11-23 01:17:16,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2628426Z [2022-11-23 01:17:16,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2628671Z [2022-11-23 01:17:16,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2628907Z [2022-11-23 01:17:16,969] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2629159Z [2022-11-23 01:17:16,970] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2629395Z [2022-11-23 01:17:17,001] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2629584Z [2022-11-23 01:17:17,001] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2629716Z  __compiled_fn_108 <eval_with_key>.702 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2629805Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2629904Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2630005Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2630105Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2630110Z 
2022-11-23T01:32:37.2630423Z [2022-11-23 01:17:17,002] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2630503Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2630592Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2630684Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2630775Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2630851Z               8 RETURN_VALUE
2022-11-23T01:32:37.2630883Z 
2022-11-23T01:32:37.2630945Z  
2022-11-23T01:32:37.2631219Z [2022-11-23 01:17:17,002] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2631326Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_108)
2022-11-23T01:32:37.2631404Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2631492Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2631568Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2631659Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2631750Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2631825Z              12 RETURN_VALUE
2022-11-23T01:32:37.2631830Z 
2022-11-23T01:32:37.2631892Z  
2022-11-23T01:32:37.2632061Z [2022-11-23 01:17:17,003] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2632129Z  - 
2022-11-23T01:32:37.2632246Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2632310Z             {
2022-11-23T01:32:37.2632452Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2632638Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2632755Z                 'obj_weakref': None
2022-11-23T01:32:37.2632965Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2633029Z             }
2022-11-23T01:32:37.2633092Z             
2022-11-23T01:32:37.2633161Z  - 
2022-11-23T01:32:37.2633285Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2633348Z             {
2022-11-23T01:32:37.2633488Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2633582Z                 'code': None,
2022-11-23T01:32:37.2633784Z                 'obj_weakref': <weakref at 0x7f7106747110; to 'Tensor' at 0x7f7106d18830>
2022-11-23T01:32:37.2634031Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2634100Z             }
2022-11-23T01:32:37.2634164Z             
2022-11-23T01:32:37.2634232Z  - 
2022-11-23T01:32:37.2634349Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2634400Z             {
2022-11-23T01:32:37.2634531Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2634698Z                 'code': ['___check_obj_id(model, 140123420994256)'],
2022-11-23T01:32:37.2634911Z                 'obj_weakref': <weakref at 0x7f7106d134d0; to 'Sequential' at 0x7f7106bbaad0>
2022-11-23T01:32:37.2635144Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2635208Z             }
2022-11-23T01:32:37.2635271Z             
2022-11-23T01:32:37.2635327Z  - 
2022-11-23T01:32:37.2635448Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2635511Z             {
2022-11-23T01:32:37.2635647Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2635864Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2635980Z                 'obj_weakref': None
2022-11-23T01:32:37.2636196Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2636247Z             }
2022-11-23T01:32:37.2636309Z             
2022-11-23T01:32:37.2636377Z  - 
2022-11-23T01:32:37.2636521Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2636584Z             {
2022-11-23T01:32:37.2636701Z                 'guard_types': None,
2022-11-23T01:32:37.2636840Z                 'code': None,
2022-11-23T01:32:37.2636945Z                 'obj_weakref': None
2022-11-23T01:32:37.2637064Z                 'guarded_class': None
2022-11-23T01:32:37.2637246Z             }
2022-11-23T01:32:37.2637311Z             
2022-11-23T01:32:37.2637380Z  - 
2022-11-23T01:32:37.2637527Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2637590Z             {
2022-11-23T01:32:37.2637748Z                 'guard_types': None,
2022-11-23T01:32:37.2637854Z                 'code': None,
2022-11-23T01:32:37.2637970Z                 'obj_weakref': None
2022-11-23T01:32:37.2638089Z                 'guarded_class': None
2022-11-23T01:32:37.2638151Z             }
2022-11-23T01:32:37.2638214Z             
2022-11-23T01:32:37.2638474Z [2022-11-23 01:17:17,050] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 107
2022-11-23T01:32:37.2638480Z 
2022-11-23T01:32:37.2638485Z 
2022-11-23T01:32:37.2638565Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2638635Z import torch
2022-11-23T01:32:37.2638706Z import random
2022-11-23T01:32:37.2638820Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2638942Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2638947Z 
2022-11-23T01:32:37.2639026Z aten = torch.ops.aten
2022-11-23T01:32:37.2639160Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2639255Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2639260Z 
2022-11-23T01:32:37.2639264Z 
2022-11-23T01:32:37.2639384Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2639592Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2639709Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2639815Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2639919Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2640024Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2640126Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2640187Z {
2022-11-23T01:32:37.2640272Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2640334Z     {
2022-11-23T01:32:37.2640411Z         #pragma omp for 
2022-11-23T01:32:37.2640495Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.2640559Z         {
2022-11-23T01:32:37.2640649Z             for(long i1=0; i1<756; i1+=1)
2022-11-23T01:32:37.2640700Z             {
2022-11-23T01:32:37.2640856Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (12100*i0));
2022-11-23T01:32:37.2640982Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2641104Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2641229Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2641354Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2641485Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2641692Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2641781Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2641854Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2641955Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2642092Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2642179Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2642268Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2642363Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2642454Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2642549Z                 tmp14.store(in_out_ptr0 + (16*i1) + (12100*i0));
2022-11-23T01:32:37.2642614Z             }
2022-11-23T01:32:37.2642748Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2642840Z             for(long i1=12096; i1<12100; i1+=1)
2022-11-23T01:32:37.2642907Z             {
2022-11-23T01:32:37.2643012Z                 auto tmp0 = in_out_ptr0[i1 + (12100*i0)];
2022-11-23T01:32:37.2643097Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2643169Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2643258Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2643380Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2643509Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2643665Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2643755Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2643852Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2643920Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2644020Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2644106Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2644197Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2644289Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2644377Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2644473Z                 in_out_ptr0[i1 + (12100*i0)] = tmp14;
2022-11-23T01:32:37.2644524Z             }
2022-11-23T01:32:37.2644589Z         }
2022-11-23T01:32:37.2644652Z     }
2022-11-23T01:32:37.2644713Z }
2022-11-23T01:32:37.2644794Z ''')
2022-11-23T01:32:37.2644799Z 
2022-11-23T01:32:37.2644803Z 
2022-11-23T01:32:37.2644892Z async_compile.wait(globals())
2022-11-23T01:32:37.2644965Z del async_compile
2022-11-23T01:32:37.2644969Z 
2022-11-23T01:32:37.2645026Z def call(args):
2022-11-23T01:32:37.2645140Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.2645211Z     args.clear()
2022-11-23T01:32:37.2645345Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 4)
2022-11-23T01:32:37.2645461Z     assert_size_stride(buf0, (1, 128, 110, 110), (1548800, 12100, 110, 1))
2022-11-23T01:32:37.2645529Z     del arg0_1
2022-11-23T01:32:37.2645595Z     del arg6_1
2022-11-23T01:32:37.2645718Z     buf1 = as_strided(buf0, (1, 128, 110, 110), (1548800, 12100, 110, 1)); del buf0  # reuse
2022-11-23T01:32:37.2645919Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.2645989Z     del arg1_1
2022-11-23T01:32:37.2646056Z     del arg2_1
2022-11-23T01:32:37.2646122Z     del arg3_1
2022-11-23T01:32:37.2646188Z     del arg4_1
2022-11-23T01:32:37.2646259Z     return (buf1, )
2022-11-23T01:32:37.2646264Z 
2022-11-23T01:32:37.2646268Z 
2022-11-23T01:32:37.2646343Z if __name__ == "__main__":
2022-11-23T01:32:37.2646444Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2646566Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2646781Z     arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2646977Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2647169Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2647361Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2647550Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2647727Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2647939Z     arg6_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2648088Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.2648093Z 
2022-11-23T01:32:37.2648097Z 
2022-11-23T01:32:37.2648191Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2648300Z import torch
2022-11-23T01:32:37.2648370Z import random
2022-11-23T01:32:37.2648485Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2648606Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2648611Z 
2022-11-23T01:32:37.2648688Z aten = torch.ops.aten
2022-11-23T01:32:37.2648809Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2648900Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2648905Z 
2022-11-23T01:32:37.2648935Z 
2022-11-23T01:32:37.2649069Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2649272Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2649391Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2649493Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.2649553Z {
2022-11-23T01:32:37.2649650Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2649698Z     {
2022-11-23T01:32:37.2649778Z         #pragma omp for 
2022-11-23T01:32:37.2649862Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.2649926Z         {
2022-11-23T01:32:37.2650007Z             #pragma GCC ivdep
2022-11-23T01:32:37.2650091Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:37.2650155Z             {
2022-11-23T01:32:37.2650224Z                 #pragma GCC ivdep
2022-11-23T01:32:37.2650315Z                 for(long i2=0; i2<9; i2+=1)
2022-11-23T01:32:37.2650380Z                 {
2022-11-23T01:32:37.2650449Z                     {
2022-11-23T01:32:37.2650518Z                         {
2022-11-23T01:32:37.2650629Z                             auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)];
2022-11-23T01:32:37.2650732Z                             out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0;
2022-11-23T01:32:37.2650787Z                         }
2022-11-23T01:32:37.2650853Z                     }
2022-11-23T01:32:37.2650916Z                 }
2022-11-23T01:32:37.2650979Z             }
2022-11-23T01:32:37.2651044Z         }
2022-11-23T01:32:37.2651105Z     }
2022-11-23T01:32:37.2651152Z }
2022-11-23T01:32:37.2651229Z ''')
2022-11-23T01:32:37.2651233Z 
2022-11-23T01:32:37.2651238Z 
2022-11-23T01:32:37.2651372Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.2651575Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2651691Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2651795Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2651897Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2651999Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2652085Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2652145Z {
2022-11-23T01:32:37.2652241Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2652302Z     {
2022-11-23T01:32:37.2652378Z         #pragma omp for 
2022-11-23T01:32:37.2652460Z         for(long i0=0; i0<12100; i0+=1)
2022-11-23T01:32:37.2652524Z         {
2022-11-23T01:32:37.2652592Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:37.2652654Z             {
2022-11-23T01:32:37.2652802Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (128*i0));
2022-11-23T01:32:37.2652936Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i1);
2022-11-23T01:32:37.2653071Z                 auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i1);
2022-11-23T01:32:37.2653203Z                 auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr2 + 16*i1);
2022-11-23T01:32:37.2653333Z                 auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr3 + 16*i1);
2022-11-23T01:32:37.2653464Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2653655Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2653742Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2653860Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2653958Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2654091Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2654177Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2654264Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2654354Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2654458Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2654566Z                 tmp14.store(in_out_ptr0 + (16*i1) + (128*i0));
2022-11-23T01:32:37.2654631Z             }
2022-11-23T01:32:37.2654723Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2654809Z             for(long i1=128; i1<128; i1+=1)
2022-11-23T01:32:37.2654873Z             {
2022-11-23T01:32:37.2654972Z                 auto tmp0 = in_out_ptr0[i1 + (128*i0)];
2022-11-23T01:32:37.2655045Z                 auto tmp1 = in_ptr0[i1];
2022-11-23T01:32:37.2655131Z                 auto tmp3 = in_ptr1[i1];
2022-11-23T01:32:37.2655218Z                 auto tmp11 = in_ptr2[i1];
2022-11-23T01:32:37.2655303Z                 auto tmp13 = in_ptr3[i1];
2022-11-23T01:32:37.2655430Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2655585Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2655670Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2655753Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2655836Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2655938Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2656023Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2656109Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2656197Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2656286Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2656367Z                 in_out_ptr0[i1 + (128*i0)] = tmp14;
2022-11-23T01:32:37.2656433Z             }
2022-11-23T01:32:37.2656495Z         }
2022-11-23T01:32:37.2656557Z     }
2022-11-23T01:32:37.2656617Z }
2022-11-23T01:32:37.2656693Z ''')
2022-11-23T01:32:37.2656698Z 
2022-11-23T01:32:37.2656702Z 
2022-11-23T01:32:37.2656791Z async_compile.wait(globals())
2022-11-23T01:32:37.2656851Z del async_compile
2022-11-23T01:32:37.2656856Z 
2022-11-23T01:32:37.2656926Z def call(args):
2022-11-23T01:32:37.2657039Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.2657113Z     args.clear()
2022-11-23T01:32:37.2657327Z     buf0 = empty_strided((128, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2657459Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.2657526Z     del arg0_1
2022-11-23T01:32:37.2657647Z     buf1 = aten.convolution(arg6_1, buf0, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 4)
2022-11-23T01:32:37.2657759Z     assert_size_stride(buf1, (1, 128, 110, 110), (1548800, 1, 14080, 128))
2022-11-23T01:32:37.2657828Z     del arg6_1
2022-11-23T01:32:37.2657892Z     del buf0
2022-11-23T01:32:37.2658015Z     buf2 = as_strided(buf1, (1, 128, 110, 110), (1548800, 1, 14080, 128)); del buf1  # reuse
2022-11-23T01:32:37.2658220Z     kernel_cpp_1(c_void_p(buf2.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.2658288Z     del arg1_1
2022-11-23T01:32:37.2658353Z     del arg2_1
2022-11-23T01:32:37.2658406Z     del arg3_1
2022-11-23T01:32:37.2658471Z     del arg4_1
2022-11-23T01:32:37.2658541Z     return (buf2, )
2022-11-23T01:32:37.2658546Z 
2022-11-23T01:32:37.2658551Z 
2022-11-23T01:32:37.2658626Z if __name__ == "__main__":
2022-11-23T01:32:37.2658740Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2658861Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2659072Z     arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2659297Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2659477Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2659667Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2659856Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2660074Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2660299Z     arg6_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2660449Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.2660817Z [2022-11-23 01:17:17,089] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d3/cd3wy3kosfd3bkunhh5dla5hl6pqgl46ogvsb44tokkvse5pm7da.py
2022-11-23T01:32:37.2661084Z [2022-11-23 01:17:17,089] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 107
2022-11-23T01:32:37.2661308Z [2022-11-23 01:17:17,508] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2661578Z [2022-11-23 01:17:17,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2661792Z [2022-11-23 01:17:17,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2662037Z [2022-11-23 01:17:17,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2662313Z [2022-11-23 01:17:17,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2662627Z [2022-11-23 01:17:17,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2662876Z [2022-11-23 01:17:17,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2663115Z [2022-11-23 01:17:17,541] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2663366Z [2022-11-23 01:17:17,542] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2663615Z [2022-11-23 01:17:17,572] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2663792Z [2022-11-23 01:17:17,573] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2663925Z  __compiled_fn_109 <eval_with_key>.708 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2664015Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2664115Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2664215Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2664314Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2664319Z 
2022-11-23T01:32:37.2664683Z [2022-11-23 01:17:17,573] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2664781Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2664860Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2664953Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2665044Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2665121Z               8 RETURN_VALUE
2022-11-23T01:32:37.2665128Z 
2022-11-23T01:32:37.2665191Z  
2022-11-23T01:32:37.2665471Z [2022-11-23 01:17:17,573] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2665577Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_109)
2022-11-23T01:32:37.2665653Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2665744Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2665822Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2665944Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2666035Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2666109Z              12 RETURN_VALUE
2022-11-23T01:32:37.2666113Z 
2022-11-23T01:32:37.2666172Z  
2022-11-23T01:32:37.2666339Z [2022-11-23 01:17:17,574] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2666412Z  - 
2022-11-23T01:32:37.2666529Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2666593Z             {
2022-11-23T01:32:37.2666761Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2666946Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2667065Z                 'obj_weakref': None
2022-11-23T01:32:37.2667276Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2667340Z             }
2022-11-23T01:32:37.2667403Z             
2022-11-23T01:32:37.2667471Z  - 
2022-11-23T01:32:37.2667597Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2667659Z             {
2022-11-23T01:32:37.2667800Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2667894Z                 'code': None,
2022-11-23T01:32:37.2668099Z                 'obj_weakref': <weakref at 0x7f71067849b0; to 'Tensor' at 0x7f710671a890>
2022-11-23T01:32:37.2668348Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2668414Z             }
2022-11-23T01:32:37.2668478Z             
2022-11-23T01:32:37.2668545Z  - 
2022-11-23T01:32:37.2668664Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2668714Z             {
2022-11-23T01:32:37.2668846Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2669016Z                 'code': ['___check_obj_id(model, 140123620632400)'],
2022-11-23T01:32:37.2669228Z                 'obj_weakref': <weakref at 0x7f7106788a70; to 'Sequential' at 0x7f7112a1e750>
2022-11-23T01:32:37.2669464Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2669528Z             }
2022-11-23T01:32:37.2669591Z             
2022-11-23T01:32:37.2669647Z  - 
2022-11-23T01:32:37.2669767Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2669830Z             {
2022-11-23T01:32:37.2669965Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2670182Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2670299Z                 'obj_weakref': None
2022-11-23T01:32:37.2670515Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2670579Z             }
2022-11-23T01:32:37.2670629Z             
2022-11-23T01:32:37.2670697Z  - 
2022-11-23T01:32:37.2670842Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2670907Z             {
2022-11-23T01:32:37.2671024Z                 'guard_types': None,
2022-11-23T01:32:37.2671132Z                 'code': None,
2022-11-23T01:32:37.2671236Z                 'obj_weakref': None
2022-11-23T01:32:37.2671355Z                 'guarded_class': None
2022-11-23T01:32:37.2671417Z             }
2022-11-23T01:32:37.2671479Z             
2022-11-23T01:32:37.2671546Z  - 
2022-11-23T01:32:37.2671689Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2671752Z             {
2022-11-23T01:32:37.2671859Z                 'guard_types': None,
2022-11-23T01:32:37.2671962Z                 'code': None,
2022-11-23T01:32:37.2672078Z                 'obj_weakref': None
2022-11-23T01:32:37.2672199Z                 'guarded_class': None
2022-11-23T01:32:37.2672263Z             }
2022-11-23T01:32:37.2672325Z             
2022-11-23T01:32:37.2672583Z [2022-11-23 01:17:17,622] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 108
2022-11-23T01:32:37.2672940Z [2022-11-23 01:17:17,653] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5x/c5xl6u2sbzvov2solkphslbhlwszmib4fqw37nvo5m4ppnroegjy.py
2022-11-23T01:32:37.2673246Z [2022-11-23 01:17:17,654] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 108
2022-11-23T01:32:37.2673481Z [2022-11-23 01:17:17,768] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2673778Z [2022-11-23 01:17:17,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2673997Z [2022-11-23 01:17:17,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2674237Z [2022-11-23 01:17:17,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2674512Z [2022-11-23 01:17:17,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2674826Z [2022-11-23 01:17:17,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2675078Z [2022-11-23 01:17:17,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2675312Z [2022-11-23 01:17:17,800] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2675551Z [2022-11-23 01:17:17,801] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2675800Z [2022-11-23 01:17:17,829] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2675990Z [2022-11-23 01:17:17,830] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2676121Z  __compiled_fn_110 <eval_with_key>.714 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2676212Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2676314Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2676418Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2676506Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2676526Z 
2022-11-23T01:32:37.2676788Z [2022-11-23 01:17:17,830] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2676881Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2676974Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2677069Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2677314Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2677392Z               8 RETURN_VALUE
2022-11-23T01:32:37.2677398Z 
2022-11-23T01:32:37.2677459Z  
2022-11-23T01:32:37.2677720Z [2022-11-23 01:17:17,830] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2677828Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_110)
2022-11-23T01:32:37.2677918Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2678014Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2678092Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2678181Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2678273Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2678348Z              12 RETURN_VALUE
2022-11-23T01:32:37.2678353Z 
2022-11-23T01:32:37.2678402Z  
2022-11-23T01:32:37.2678584Z [2022-11-23 01:17:17,831] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2678656Z  - 
2022-11-23T01:32:37.2678776Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2678842Z             {
2022-11-23T01:32:37.2678983Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2679168Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2679273Z                 'obj_weakref': None
2022-11-23T01:32:37.2679498Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2679619Z             }
2022-11-23T01:32:37.2679684Z             
2022-11-23T01:32:37.2679755Z  - 
2022-11-23T01:32:37.2679880Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2679944Z             {
2022-11-23T01:32:37.2680072Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2680178Z                 'code': None,
2022-11-23T01:32:37.2680386Z                 'obj_weakref': <weakref at 0x7f7106d23b30; to 'Tensor' at 0x7f7106a20170>
2022-11-23T01:32:37.2680666Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2680732Z             }
2022-11-23T01:32:37.2680795Z             
2022-11-23T01:32:37.2680865Z  - 
2022-11-23T01:32:37.2680971Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2681033Z             {
2022-11-23T01:32:37.2681169Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2681337Z                 'code': ['___check_obj_id(model, 140123620632400)'],
2022-11-23T01:32:37.2681551Z                 'obj_weakref': <weakref at 0x7f7106788a70; to 'Sequential' at 0x7f7112a1e750>
2022-11-23T01:32:37.2681782Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2681845Z             }
2022-11-23T01:32:37.2681895Z             
2022-11-23T01:32:37.2681962Z  - 
2022-11-23T01:32:37.2682083Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2682146Z             {
2022-11-23T01:32:37.2682282Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2682499Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2682615Z                 'obj_weakref': None
2022-11-23T01:32:37.2682817Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2682880Z             }
2022-11-23T01:32:37.2682944Z             
2022-11-23T01:32:37.2683011Z  - 
2022-11-23T01:32:37.2683156Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2683219Z             {
2022-11-23T01:32:37.2683336Z                 'guard_types': None,
2022-11-23T01:32:37.2683429Z                 'code': None,
2022-11-23T01:32:37.2683544Z                 'obj_weakref': None
2022-11-23T01:32:37.2683663Z                 'guarded_class': None
2022-11-23T01:32:37.2683726Z             }
2022-11-23T01:32:37.2683789Z             
2022-11-23T01:32:37.2683856Z  - 
2022-11-23T01:32:37.2683990Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2684054Z             {
2022-11-23T01:32:37.2684169Z                 'guard_types': None,
2022-11-23T01:32:37.2684275Z                 'code': None,
2022-11-23T01:32:37.2684389Z                 'obj_weakref': None
2022-11-23T01:32:37.2684508Z                 'guarded_class': None
2022-11-23T01:32:37.2684570Z             }
2022-11-23T01:32:37.2684620Z             
2022-11-23T01:32:37.2684877Z [2022-11-23 01:17:17,880] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 109
2022-11-23T01:32:37.2684885Z 
2022-11-23T01:32:37.2684890Z 
2022-11-23T01:32:37.2684982Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2685050Z import torch
2022-11-23T01:32:37.2685121Z import random
2022-11-23T01:32:37.2685235Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2685354Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2685359Z 
2022-11-23T01:32:37.2685436Z aten = torch.ops.aten
2022-11-23T01:32:37.2685558Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2685649Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2685654Z 
2022-11-23T01:32:37.2685658Z 
2022-11-23T01:32:37.2685789Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2685995Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2686111Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2686247Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2686349Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2686449Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2686537Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2686597Z {
2022-11-23T01:32:37.2686693Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2686755Z     {
2022-11-23T01:32:37.2686833Z         #pragma omp for 
2022-11-23T01:32:37.2686940Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.2687003Z         {
2022-11-23T01:32:37.2687075Z             for(long i1=0; i1<729; i1+=1)
2022-11-23T01:32:37.2687139Z             {
2022-11-23T01:32:37.2687292Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (11664*i0));
2022-11-23T01:32:37.2687416Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2687537Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2687662Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2687784Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2687913Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2688105Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2688193Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2688282Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2688380Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2688512Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2688598Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2688685Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2688775Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2688852Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2688962Z                 tmp14.store(in_out_ptr0 + (16*i1) + (11664*i0));
2022-11-23T01:32:37.2689025Z             }
2022-11-23T01:32:37.2689117Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2689206Z             for(long i1=11664; i1<11664; i1+=1)
2022-11-23T01:32:37.2689270Z             {
2022-11-23T01:32:37.2689370Z                 auto tmp0 = in_out_ptr0[i1 + (11664*i0)];
2022-11-23T01:32:37.2689443Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2689528Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2689613Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2689700Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2689826Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2689980Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2690065Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2690147Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2690228Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2690328Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2690415Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2690500Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2690590Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2690679Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2690761Z                 in_out_ptr0[i1 + (11664*i0)] = tmp14;
2022-11-23T01:32:37.2690828Z             }
2022-11-23T01:32:37.2690891Z         }
2022-11-23T01:32:37.2690954Z     }
2022-11-23T01:32:37.2691014Z }
2022-11-23T01:32:37.2691090Z ''')
2022-11-23T01:32:37.2691098Z 
2022-11-23T01:32:37.2691103Z 
2022-11-23T01:32:37.2691191Z async_compile.wait(globals())
2022-11-23T01:32:37.2691250Z del async_compile
2022-11-23T01:32:37.2691261Z 
2022-11-23T01:32:37.2691359Z def call(args):
2022-11-23T01:32:37.2691518Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.2691671Z     args.clear()
2022-11-23T01:32:37.2691815Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1, 1), (0, 0), (2, 2), False, (0, 0), 1)
2022-11-23T01:32:37.2691929Z     assert_size_stride(buf0, (1, 32, 108, 108), (373248, 11664, 108, 1))
2022-11-23T01:32:37.2691997Z     del arg0_1
2022-11-23T01:32:37.2692049Z     del arg6_1
2022-11-23T01:32:37.2692172Z     buf1 = as_strided(buf0, (1, 32, 108, 108), (373248, 11664, 108, 1)); del buf0  # reuse
2022-11-23T01:32:37.2692418Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.2692489Z     del arg1_1
2022-11-23T01:32:37.2692555Z     del arg2_1
2022-11-23T01:32:37.2692621Z     del arg3_1
2022-11-23T01:32:37.2692687Z     del arg4_1
2022-11-23T01:32:37.2692745Z     return (buf1, )
2022-11-23T01:32:37.2692764Z 
2022-11-23T01:32:37.2692768Z 
2022-11-23T01:32:37.2692832Z if __name__ == "__main__":
2022-11-23T01:32:37.2692947Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2693071Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2693290Z     arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2693483Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2693676Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2693867Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2694053Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2694217Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2694443Z     arg6_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2694589Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.2694597Z 
2022-11-23T01:32:37.2694601Z 
2022-11-23T01:32:37.2694695Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2694765Z import torch
2022-11-23T01:32:37.2694835Z import random
2022-11-23T01:32:37.2694950Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2695070Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2695074Z 
2022-11-23T01:32:37.2695139Z aten = torch.ops.aten
2022-11-23T01:32:37.2695273Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2695365Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2695369Z 
2022-11-23T01:32:37.2695373Z 
2022-11-23T01:32:37.2695505Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2695709Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2695826Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2695924Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.2695987Z {
2022-11-23T01:32:37.2696071Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2696133Z     {
2022-11-23T01:32:37.2696209Z         #pragma omp for 
2022-11-23T01:32:37.2696290Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.2696354Z         {
2022-11-23T01:32:37.2696433Z             #pragma GCC ivdep
2022-11-23T01:32:37.2696503Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:37.2696567Z             {
2022-11-23T01:32:37.2696649Z                 #pragma GCC ivdep
2022-11-23T01:32:37.2696737Z                 for(long i2=0; i2<9; i2+=1)
2022-11-23T01:32:37.2696804Z                 {
2022-11-23T01:32:37.2696870Z                     {
2022-11-23T01:32:37.2696938Z                         {
2022-11-23T01:32:37.2697036Z                             auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)];
2022-11-23T01:32:37.2697139Z                             out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0;
2022-11-23T01:32:37.2697206Z                         }
2022-11-23T01:32:37.2697303Z                     }
2022-11-23T01:32:37.2697367Z                 }
2022-11-23T01:32:37.2697430Z             }
2022-11-23T01:32:37.2697491Z         }
2022-11-23T01:32:37.2697539Z     }
2022-11-23T01:32:37.2697599Z }
2022-11-23T01:32:37.2697675Z ''')
2022-11-23T01:32:37.2697680Z 
2022-11-23T01:32:37.2697685Z 
2022-11-23T01:32:37.2697816Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.2698020Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2698164Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2698268Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2698369Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2698457Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2698558Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2698617Z {
2022-11-23T01:32:37.2698714Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2698778Z     {
2022-11-23T01:32:37.2698854Z         #pragma omp for 
2022-11-23T01:32:37.2698924Z         for(long i0=0; i0<11664; i0+=1)
2022-11-23T01:32:37.2698986Z         {
2022-11-23T01:32:37.2699066Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:37.2699129Z             {
2022-11-23T01:32:37.2699276Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (32*i0));
2022-11-23T01:32:37.2699413Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i1);
2022-11-23T01:32:37.2699545Z                 auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i1);
2022-11-23T01:32:37.2699678Z                 auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr2 + 16*i1);
2022-11-23T01:32:37.2699809Z                 auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr3 + 16*i1);
2022-11-23T01:32:37.2699928Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2700132Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2700221Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2700306Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2700407Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2700539Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2700624Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2700699Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2700791Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2700880Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2700988Z                 tmp14.store(in_out_ptr0 + (16*i1) + (32*i0));
2022-11-23T01:32:37.2701053Z             }
2022-11-23T01:32:37.2701144Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2701230Z             for(long i1=32; i1<32; i1+=1)
2022-11-23T01:32:37.2701281Z             {
2022-11-23T01:32:37.2701379Z                 auto tmp0 = in_out_ptr0[i1 + (32*i0)];
2022-11-23T01:32:37.2701466Z                 auto tmp1 = in_ptr0[i1];
2022-11-23T01:32:37.2701550Z                 auto tmp3 = in_ptr1[i1];
2022-11-23T01:32:37.2701637Z                 auto tmp11 = in_ptr2[i1];
2022-11-23T01:32:37.2701722Z                 auto tmp13 = in_ptr3[i1];
2022-11-23T01:32:37.2701849Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2701991Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2702090Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2702235Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2702350Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2702480Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2702601Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2702699Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2702789Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2702866Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2703004Z                 in_out_ptr0[i1 + (32*i0)] = tmp14;
2022-11-23T01:32:37.2703067Z             }
2022-11-23T01:32:37.2703130Z         }
2022-11-23T01:32:37.2703192Z     }
2022-11-23T01:32:37.2703252Z }
2022-11-23T01:32:37.2703324Z ''')
2022-11-23T01:32:37.2703328Z 
2022-11-23T01:32:37.2703345Z 
2022-11-23T01:32:37.2703421Z async_compile.wait(globals())
2022-11-23T01:32:37.2703492Z del async_compile
2022-11-23T01:32:37.2703497Z 
2022-11-23T01:32:37.2703609Z def call(args):
2022-11-23T01:32:37.2703721Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.2703793Z     args.clear()
2022-11-23T01:32:37.2704006Z     buf0 = empty_strided((32, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2704139Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.2704195Z     del arg0_1
2022-11-23T01:32:37.2704329Z     buf1 = aten.convolution(arg6_1, buf0, None, (1, 1), (0, 0), (2, 2), False, (0, 0), 1)
2022-11-23T01:32:37.2704523Z     assert_size_stride(buf1, (1, 32, 108, 108), (373248, 1, 3456, 32))
2022-11-23T01:32:37.2704594Z     del arg6_1
2022-11-23T01:32:37.2704662Z     del buf0
2022-11-23T01:32:37.2704785Z     buf2 = as_strided(buf1, (1, 32, 108, 108), (373248, 1, 3456, 32)); del buf1  # reuse
2022-11-23T01:32:37.2704997Z     kernel_cpp_1(c_void_p(buf2.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.2705066Z     del arg1_1
2022-11-23T01:32:37.2705118Z     del arg2_1
2022-11-23T01:32:37.2705185Z     del arg3_1
2022-11-23T01:32:37.2705251Z     del arg4_1
2022-11-23T01:32:37.2705324Z     return (buf2, )
2022-11-23T01:32:37.2705329Z 
2022-11-23T01:32:37.2705334Z 
2022-11-23T01:32:37.2705411Z if __name__ == "__main__":
2022-11-23T01:32:37.2705526Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2705650Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2705854Z     arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2706047Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2706237Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2706426Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2706615Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2706795Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2707014Z     arg6_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2707166Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.2707524Z [2022-11-23 01:17:17,919] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/af/cafm5bhjva7m32njqfcnf3a3abst37g5gds3f5vbho3kt4emlqrx.py
2022-11-23T01:32:37.2707794Z [2022-11-23 01:17:17,919] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 109
2022-11-23T01:32:37.2708032Z [2022-11-23 01:17:18,075] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2708302Z [2022-11-23 01:17:18,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2708522Z [2022-11-23 01:17:18,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2708765Z [2022-11-23 01:17:18,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2709041Z [2022-11-23 01:17:18,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2709358Z [2022-11-23 01:17:18,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2709647Z [2022-11-23 01:17:18,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2709878Z [2022-11-23 01:17:18,119] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2710119Z [2022-11-23 01:17:18,120] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2710399Z [2022-11-23 01:17:18,149] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2710586Z [2022-11-23 01:17:18,150] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2710718Z  __compiled_fn_111 <eval_with_key>.720 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2710809Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2710909Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2711012Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2711113Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2711119Z 
2022-11-23T01:32:37.2711384Z [2022-11-23 01:17:18,150] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2711480Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2711571Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2711663Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2711757Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2711835Z               8 RETURN_VALUE
2022-11-23T01:32:37.2711840Z 
2022-11-23T01:32:37.2711903Z  
2022-11-23T01:32:37.2712164Z [2022-11-23 01:17:18,150] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2712270Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_111)
2022-11-23T01:32:37.2712361Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2712451Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2712530Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2712618Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2712709Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2712786Z              12 RETURN_VALUE
2022-11-23T01:32:37.2712791Z 
2022-11-23T01:32:37.2712838Z  
2022-11-23T01:32:37.2713020Z [2022-11-23 01:17:18,151] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2713091Z  - 
2022-11-23T01:32:37.2713211Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2713277Z             {
2022-11-23T01:32:37.2713418Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2713602Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2713709Z                 'obj_weakref': None
2022-11-23T01:32:37.2713934Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2713999Z             }
2022-11-23T01:32:37.2714066Z             
2022-11-23T01:32:37.2714136Z  - 
2022-11-23T01:32:37.2714260Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2714323Z             {
2022-11-23T01:32:37.2714450Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2714557Z                 'code': None,
2022-11-23T01:32:37.2714766Z                 'obj_weakref': <weakref at 0x7f71067a49b0; to 'Tensor' at 0x7f7106cfe3b0>
2022-11-23T01:32:37.2715015Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2715080Z             }
2022-11-23T01:32:37.2715143Z             
2022-11-23T01:32:37.2715211Z  - 
2022-11-23T01:32:37.2715317Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2715379Z             {
2022-11-23T01:32:37.2715511Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2715680Z                 'code': ['___check_obj_id(model, 140123422289104)'],
2022-11-23T01:32:37.2715894Z                 'obj_weakref': <weakref at 0x7f7106cfce90; to 'Sequential' at 0x7f7106cf6cd0>
2022-11-23T01:32:37.2716157Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2716220Z             }
2022-11-23T01:32:37.2716270Z             
2022-11-23T01:32:37.2716339Z  - 
2022-11-23T01:32:37.2716459Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2716520Z             {
2022-11-23T01:32:37.2716681Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2716899Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2717016Z                 'obj_weakref': None
2022-11-23T01:32:37.2717351Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2717418Z             }
2022-11-23T01:32:37.2717487Z             
2022-11-23T01:32:37.2717557Z  - 
2022-11-23T01:32:37.2717702Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2717769Z             {
2022-11-23T01:32:37.2717888Z                 'guard_types': None,
2022-11-23T01:32:37.2717981Z                 'code': None,
2022-11-23T01:32:37.2718097Z                 'obj_weakref': None
2022-11-23T01:32:37.2718220Z                 'guarded_class': None
2022-11-23T01:32:37.2718284Z             }
2022-11-23T01:32:37.2718348Z             
2022-11-23T01:32:37.2718417Z  - 
2022-11-23T01:32:37.2718565Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2718616Z             {
2022-11-23T01:32:37.2718734Z                 'guard_types': None,
2022-11-23T01:32:37.2718841Z                 'code': None,
2022-11-23T01:32:37.2718958Z                 'obj_weakref': None
2022-11-23T01:32:37.2719079Z                 'guarded_class': None
2022-11-23T01:32:37.2719140Z             }
2022-11-23T01:32:37.2719190Z             
2022-11-23T01:32:37.2719449Z [2022-11-23 01:17:18,197] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 110
2022-11-23T01:32:37.2719822Z [2022-11-23 01:17:18,228] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tn/ctnblbzh26excxpld3bmn7oufxtfetcz3oaio5y5vwgg6ilz36dc.py
2022-11-23T01:32:37.2720085Z [2022-11-23 01:17:18,228] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 110
2022-11-23T01:32:37.2720323Z [2022-11-23 01:17:18,633] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2720591Z [2022-11-23 01:17:18,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2720807Z [2022-11-23 01:17:18,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2721049Z [2022-11-23 01:17:18,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2721323Z [2022-11-23 01:17:18,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2721639Z [2022-11-23 01:17:18,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2721872Z [2022-11-23 01:17:18,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2722106Z [2022-11-23 01:17:18,671] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2722359Z [2022-11-23 01:17:18,673] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2722606Z [2022-11-23 01:17:18,706] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2722792Z [2022-11-23 01:17:18,707] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2722924Z  __compiled_fn_112 <eval_with_key>.726 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2723014Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2723173Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2723262Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2723361Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2723367Z 
2022-11-23T01:32:37.2723646Z [2022-11-23 01:17:18,707] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2723743Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2723869Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2723962Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2724053Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2724131Z               8 RETURN_VALUE
2022-11-23T01:32:37.2724136Z 
2022-11-23T01:32:37.2724184Z  
2022-11-23T01:32:37.2724461Z [2022-11-23 01:17:18,707] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2724568Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_112)
2022-11-23T01:32:37.2724659Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2724747Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2724823Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2724911Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2724990Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2725064Z              12 RETURN_VALUE
2022-11-23T01:32:37.2725070Z 
2022-11-23T01:32:37.2725134Z  
2022-11-23T01:32:37.2725313Z [2022-11-23 01:17:18,708] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2725382Z  - 
2022-11-23T01:32:37.2725499Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2725562Z             {
2022-11-23T01:32:37.2725689Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2725873Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2725990Z                 'obj_weakref': None
2022-11-23T01:32:37.2726214Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2726278Z             }
2022-11-23T01:32:37.2726341Z             
2022-11-23T01:32:37.2726410Z  - 
2022-11-23T01:32:37.2726519Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2726582Z             {
2022-11-23T01:32:37.2726724Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2726828Z                 'code': None,
2022-11-23T01:32:37.2727038Z                 'obj_weakref': <weakref at 0x7f7106d07770; to 'Tensor' at 0x7f7106d134d0>
2022-11-23T01:32:37.2727285Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2727348Z             }
2022-11-23T01:32:37.2727412Z             
2022-11-23T01:32:37.2727468Z  - 
2022-11-23T01:32:37.2727586Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2727648Z             {
2022-11-23T01:32:37.2727782Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2727953Z                 'code': ['___check_obj_id(model, 140123422289104)'],
2022-11-23T01:32:37.2728171Z                 'obj_weakref': <weakref at 0x7f7106cfce90; to 'Sequential' at 0x7f7106cf6cd0>
2022-11-23T01:32:37.2728404Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2728455Z             }
2022-11-23T01:32:37.2728517Z             
2022-11-23T01:32:37.2728586Z  - 
2022-11-23T01:32:37.2728708Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2728771Z             {
2022-11-23T01:32:37.2728905Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2729122Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2729226Z                 'obj_weakref': None
2022-11-23T01:32:37.2729442Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2729506Z             }
2022-11-23T01:32:37.2729599Z             
2022-11-23T01:32:37.2729669Z  - 
2022-11-23T01:32:37.2729814Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2729864Z             {
2022-11-23T01:32:37.2729983Z                 'guard_types': None,
2022-11-23T01:32:37.2730087Z                 'code': None,
2022-11-23T01:32:37.2730203Z                 'obj_weakref': None
2022-11-23T01:32:37.2730320Z                 'guarded_class': None
2022-11-23T01:32:37.2730383Z             }
2022-11-23T01:32:37.2730474Z             
2022-11-23T01:32:37.2730530Z  - 
2022-11-23T01:32:37.2730672Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2730734Z             {
2022-11-23T01:32:37.2730852Z                 'guard_types': None,
2022-11-23T01:32:37.2730956Z                 'code': None,
2022-11-23T01:32:37.2731072Z                 'obj_weakref': None
2022-11-23T01:32:37.2731192Z                 'guarded_class': None
2022-11-23T01:32:37.2731241Z             }
2022-11-23T01:32:37.2731307Z             
2022-11-23T01:32:37.2731563Z [2022-11-23 01:17:18,757] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 111
2022-11-23T01:32:37.2731568Z 
2022-11-23T01:32:37.2731573Z 
2022-11-23T01:32:37.2731665Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2731734Z import torch
2022-11-23T01:32:37.2731802Z import random
2022-11-23T01:32:37.2731917Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2732028Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2732045Z 
2022-11-23T01:32:37.2732110Z aten = torch.ops.aten
2022-11-23T01:32:37.2732244Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2732335Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2732339Z 
2022-11-23T01:32:37.2732344Z 
2022-11-23T01:32:37.2732475Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2732679Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2732797Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2732901Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2733001Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2733091Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2733193Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2733254Z {
2022-11-23T01:32:37.2733352Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2733413Z     {
2022-11-23T01:32:37.2733490Z         #pragma omp for 
2022-11-23T01:32:37.2733573Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.2733623Z         {
2022-11-23T01:32:37.2733707Z             for(long i1=0; i1<729; i1+=1)
2022-11-23T01:32:37.2733770Z             {
2022-11-23T01:32:37.2733927Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (11664*i0));
2022-11-23T01:32:37.2734052Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2734173Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2734297Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2734417Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2734534Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2734740Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2734827Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2734911Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2735009Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2735142Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2735228Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2735303Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2735394Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2735515Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2735623Z                 tmp14.store(in_out_ptr0 + (16*i1) + (11664*i0));
2022-11-23T01:32:37.2735688Z             }
2022-11-23T01:32:37.2735778Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2735870Z             for(long i1=11664; i1<11664; i1+=1)
2022-11-23T01:32:37.2735920Z             {
2022-11-23T01:32:37.2736049Z                 auto tmp0 = in_out_ptr0[i1 + (11664*i0)];
2022-11-23T01:32:37.2736136Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2736221Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2736308Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2736394Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2736520Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2736662Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2736747Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2736845Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2736925Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2737024Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2737109Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2737196Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2737273Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2737361Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2737458Z                 in_out_ptr0[i1 + (11664*i0)] = tmp14;
2022-11-23T01:32:37.2737522Z             }
2022-11-23T01:32:37.2737585Z         }
2022-11-23T01:32:37.2737648Z     }
2022-11-23T01:32:37.2737708Z }
2022-11-23T01:32:37.2737772Z ''')
2022-11-23T01:32:37.2737777Z 
2022-11-23T01:32:37.2737794Z 
2022-11-23T01:32:37.2737870Z async_compile.wait(globals())
2022-11-23T01:32:37.2737943Z del async_compile
2022-11-23T01:32:37.2737948Z 
2022-11-23T01:32:37.2738020Z def call(args):
2022-11-23T01:32:37.2738133Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.2738204Z     args.clear()
2022-11-23T01:32:37.2738339Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1, 1), (0, 0), (2, 2), False, (0, 0), 4)
2022-11-23T01:32:37.2738452Z     assert_size_stride(buf0, (1, 128, 108, 108), (1492992, 11664, 108, 1))
2022-11-23T01:32:37.2738506Z     del arg0_1
2022-11-23T01:32:37.2738573Z     del arg6_1
2022-11-23T01:32:37.2738700Z     buf1 = as_strided(buf0, (1, 128, 108, 108), (1492992, 11664, 108, 1)); del buf0  # reuse
2022-11-23T01:32:37.2738912Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.2738978Z     del arg1_1
2022-11-23T01:32:37.2739043Z     del arg2_1
2022-11-23T01:32:37.2739108Z     del arg3_1
2022-11-23T01:32:37.2739160Z     del arg4_1
2022-11-23T01:32:37.2739231Z     return (buf1, )
2022-11-23T01:32:37.2739237Z 
2022-11-23T01:32:37.2739243Z 
2022-11-23T01:32:37.2739319Z if __name__ == "__main__":
2022-11-23T01:32:37.2739430Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2739552Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2739765Z     arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2739962Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2740157Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2740336Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2740524Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2740701Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2740927Z     arg6_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2741106Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.2741111Z 
2022-11-23T01:32:37.2741115Z 
2022-11-23T01:32:37.2741209Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2741281Z import torch
2022-11-23T01:32:37.2741351Z import random
2022-11-23T01:32:37.2741452Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2741572Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2741606Z 
2022-11-23T01:32:37.2741683Z aten = torch.ops.aten
2022-11-23T01:32:37.2741816Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2741907Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2741912Z 
2022-11-23T01:32:37.2741916Z 
2022-11-23T01:32:37.2742050Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2742253Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2742371Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2742460Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.2742520Z {
2022-11-23T01:32:37.2742616Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2742680Z     {
2022-11-23T01:32:37.2742757Z         #pragma omp for 
2022-11-23T01:32:37.2742839Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.2742902Z         {
2022-11-23T01:32:37.2742970Z             #pragma GCC ivdep
2022-11-23T01:32:37.2743054Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:37.2743119Z             {
2022-11-23T01:32:37.2743201Z                 #pragma GCC ivdep
2022-11-23T01:32:37.2743292Z                 for(long i2=0; i2<9; i2+=1)
2022-11-23T01:32:37.2743358Z                 {
2022-11-23T01:32:37.2743426Z                     {
2022-11-23T01:32:37.2743482Z                         {
2022-11-23T01:32:37.2743594Z                             auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)];
2022-11-23T01:32:37.2743699Z                             out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0;
2022-11-23T01:32:37.2743770Z                         }
2022-11-23T01:32:37.2743838Z                     }
2022-11-23T01:32:37.2743906Z                 }
2022-11-23T01:32:37.2743970Z             }
2022-11-23T01:32:37.2744019Z         }
2022-11-23T01:32:37.2744080Z     }
2022-11-23T01:32:37.2744140Z }
2022-11-23T01:32:37.2744217Z ''')
2022-11-23T01:32:37.2744223Z 
2022-11-23T01:32:37.2744227Z 
2022-11-23T01:32:37.2744360Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.2744658Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2744775Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2744867Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2744971Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2745074Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2745175Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2745240Z {
2022-11-23T01:32:37.2745337Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2745399Z     {
2022-11-23T01:32:37.2745462Z         #pragma omp for 
2022-11-23T01:32:37.2745545Z         for(long i0=0; i0<11664; i0+=1)
2022-11-23T01:32:37.2745610Z         {
2022-11-23T01:32:37.2745692Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:37.2745757Z             {
2022-11-23T01:32:37.2745908Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (128*i0));
2022-11-23T01:32:37.2746045Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i1);
2022-11-23T01:32:37.2746178Z                 auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i1);
2022-11-23T01:32:37.2746300Z                 auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr2 + 16*i1);
2022-11-23T01:32:37.2746433Z                 auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr3 + 16*i1);
2022-11-23T01:32:37.2746602Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2746805Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2746892Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2746982Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2747082Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2747217Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2747334Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2747423Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2747513Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2747604Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2747713Z                 tmp14.store(in_out_ptr0 + (16*i1) + (128*i0));
2022-11-23T01:32:37.2747777Z             }
2022-11-23T01:32:37.2747870Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2747944Z             for(long i1=128; i1<128; i1+=1)
2022-11-23T01:32:37.2748009Z             {
2022-11-23T01:32:37.2748109Z                 auto tmp0 = in_out_ptr0[i1 + (128*i0)];
2022-11-23T01:32:37.2748199Z                 auto tmp1 = in_ptr0[i1];
2022-11-23T01:32:37.2748286Z                 auto tmp3 = in_ptr1[i1];
2022-11-23T01:32:37.2748372Z                 auto tmp11 = in_ptr2[i1];
2022-11-23T01:32:37.2748460Z                 auto tmp13 = in_ptr3[i1];
2022-11-23T01:32:37.2748576Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2748732Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2748819Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2748916Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2748998Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2749099Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2749185Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2749258Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2749352Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2749441Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2749534Z                 in_out_ptr0[i1 + (128*i0)] = tmp14;
2022-11-23T01:32:37.2749598Z             }
2022-11-23T01:32:37.2749661Z         }
2022-11-23T01:32:37.2749724Z     }
2022-11-23T01:32:37.2749771Z }
2022-11-23T01:32:37.2749849Z ''')
2022-11-23T01:32:37.2749854Z 
2022-11-23T01:32:37.2749858Z 
2022-11-23T01:32:37.2749953Z async_compile.wait(globals())
2022-11-23T01:32:37.2750024Z del async_compile
2022-11-23T01:32:37.2750028Z 
2022-11-23T01:32:37.2750097Z def call(args):
2022-11-23T01:32:37.2750208Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.2750279Z     args.clear()
2022-11-23T01:32:37.2750478Z     buf0 = empty_strided((128, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2750609Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.2750679Z     del arg0_1
2022-11-23T01:32:37.2750812Z     buf1 = aten.convolution(arg6_1, buf0, None, (1, 1), (0, 0), (2, 2), False, (0, 0), 4)
2022-11-23T01:32:37.2750928Z     assert_size_stride(buf1, (1, 128, 108, 108), (1492992, 1, 13824, 128))
2022-11-23T01:32:37.2750994Z     del arg6_1
2022-11-23T01:32:37.2751059Z     del buf0
2022-11-23T01:32:37.2751182Z     buf2 = as_strided(buf1, (1, 128, 108, 108), (1492992, 1, 13824, 128)); del buf1  # reuse
2022-11-23T01:32:37.2751380Z     kernel_cpp_1(c_void_p(buf2.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.2751447Z     del arg1_1
2022-11-23T01:32:37.2751513Z     del arg2_1
2022-11-23T01:32:37.2751577Z     del arg3_1
2022-11-23T01:32:37.2751643Z     del arg4_1
2022-11-23T01:32:37.2751713Z     return (buf2, )
2022-11-23T01:32:37.2751718Z 
2022-11-23T01:32:37.2751723Z 
2022-11-23T01:32:37.2751797Z if __name__ == "__main__":
2022-11-23T01:32:37.2751931Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2752051Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2752263Z     arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2752455Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2752649Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2752864Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2753052Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2753231Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2753444Z     arg6_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2753591Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.2753963Z [2022-11-23 01:17:18,797] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ro/croc6i3oxbrhn46lm3gjz3kdaw4otfhnn3poaullhd4fv4ozt4p4.py
2022-11-23T01:32:37.2754229Z [2022-11-23 01:17:18,797] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 111
2022-11-23T01:32:37.2754466Z [2022-11-23 01:17:19,277] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2754735Z [2022-11-23 01:17:19,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2754951Z [2022-11-23 01:17:19,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2755192Z [2022-11-23 01:17:19,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2755467Z [2022-11-23 01:17:19,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2755783Z [2022-11-23 01:17:19,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2756016Z [2022-11-23 01:17:19,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2756249Z [2022-11-23 01:17:19,313] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2756504Z [2022-11-23 01:17:19,315] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2756749Z [2022-11-23 01:17:19,346] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2756936Z [2022-11-23 01:17:19,347] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2757067Z  __compiled_fn_113 <eval_with_key>.732 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2757274Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2757379Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2757468Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2757567Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2757573Z 
2022-11-23T01:32:37.2757849Z [2022-11-23 01:17:19,347] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2757944Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2758039Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2758133Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2758224Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2758300Z               8 RETURN_VALUE
2022-11-23T01:32:37.2758306Z 
2022-11-23T01:32:37.2758353Z  
2022-11-23T01:32:37.2758632Z [2022-11-23 01:17:19,347] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2758740Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_113)
2022-11-23T01:32:37.2758881Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2758971Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2759048Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2759137Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2759216Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2759291Z              12 RETURN_VALUE
2022-11-23T01:32:37.2759297Z 
2022-11-23T01:32:37.2759395Z  
2022-11-23T01:32:37.2759578Z [2022-11-23 01:17:19,348] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2759648Z  - 
2022-11-23T01:32:37.2759770Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2759836Z             {
2022-11-23T01:32:37.2759963Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2760147Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2760268Z                 'obj_weakref': None
2022-11-23T01:32:37.2760496Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2760560Z             }
2022-11-23T01:32:37.2760623Z             
2022-11-23T01:32:37.2760691Z  - 
2022-11-23T01:32:37.2760812Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2760862Z             {
2022-11-23T01:32:37.2761002Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2761107Z                 'code': None,
2022-11-23T01:32:37.2761317Z                 'obj_weakref': <weakref at 0x7f70f2e3ed70; to 'Tensor' at 0x7f7106d07a10>
2022-11-23T01:32:37.2761568Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2761633Z             }
2022-11-23T01:32:37.2761701Z             
2022-11-23T01:32:37.2761756Z  - 
2022-11-23T01:32:37.2761877Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2761942Z             {
2022-11-23T01:32:37.2762077Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2762247Z                 'code': ['___check_obj_id(model, 140126074655312)'],
2022-11-23T01:32:37.2762460Z                 'obj_weakref': <weakref at 0x7f7106763710; to 'Sequential' at 0x7f71a4e75250>
2022-11-23T01:32:37.2762693Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2762743Z             }
2022-11-23T01:32:37.2762810Z             
2022-11-23T01:32:37.2762879Z  - 
2022-11-23T01:32:37.2763003Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2763065Z             {
2022-11-23T01:32:37.2763200Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2763414Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2763518Z                 'obj_weakref': None
2022-11-23T01:32:37.2763735Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2763798Z             }
2022-11-23T01:32:37.2763862Z             
2022-11-23T01:32:37.2763930Z  - 
2022-11-23T01:32:37.2764073Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2764136Z             {
2022-11-23T01:32:37.2764241Z                 'guard_types': None,
2022-11-23T01:32:37.2764347Z                 'code': None,
2022-11-23T01:32:37.2764462Z                 'obj_weakref': None
2022-11-23T01:32:37.2764581Z                 'guarded_class': None
2022-11-23T01:32:37.2764644Z             }
2022-11-23T01:32:37.2764709Z             
2022-11-23T01:32:37.2764763Z  - 
2022-11-23T01:32:37.2764905Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2764966Z             {
2022-11-23T01:32:37.2765083Z                 'guard_types': None,
2022-11-23T01:32:37.2765188Z                 'code': None,
2022-11-23T01:32:37.2765304Z                 'obj_weakref': None
2022-11-23T01:32:37.2765423Z                 'guarded_class': None
2022-11-23T01:32:37.2765473Z             }
2022-11-23T01:32:37.2765566Z             
2022-11-23T01:32:37.2765826Z [2022-11-23 01:17:19,402] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 112
2022-11-23T01:32:37.2766197Z [2022-11-23 01:17:21,992] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ax/cax5rpyqdjp335hkiqijqprhlqwajvgnq5hkubj5ykrlur22g4yh.py
2022-11-23T01:32:37.2766458Z [2022-11-23 01:17:21,993] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 112
2022-11-23T01:32:37.2766722Z [2022-11-23 01:17:23,295] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2766989Z [2022-11-23 01:17:23,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2767204Z [2022-11-23 01:17:23,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2767445Z [2022-11-23 01:17:23,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2767712Z [2022-11-23 01:17:23,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2768025Z [2022-11-23 01:17:23,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2768270Z [2022-11-23 01:17:23,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2768504Z [2022-11-23 01:17:23,334] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2768755Z [2022-11-23 01:17:23,335] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2769000Z [2022-11-23 01:17:23,372] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2769186Z [2022-11-23 01:17:23,373] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2769319Z  __compiled_fn_114 <eval_with_key>.738 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2769410Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2769497Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2769598Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2769696Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2769703Z 
2022-11-23T01:32:37.2769983Z [2022-11-23 01:17:23,373] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2770077Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2770167Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2770258Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2770336Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2770411Z               8 RETURN_VALUE
2022-11-23T01:32:37.2770416Z 
2022-11-23T01:32:37.2770476Z  
2022-11-23T01:32:37.2770752Z [2022-11-23 01:17:23,373] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2770862Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_114)
2022-11-23T01:32:37.2770950Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2771040Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2771115Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2771191Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2771282Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2771356Z              12 RETURN_VALUE
2022-11-23T01:32:37.2771360Z 
2022-11-23T01:32:37.2771421Z  
2022-11-23T01:32:37.2771601Z [2022-11-23 01:17:23,374] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2771671Z  - 
2022-11-23T01:32:37.2771787Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2771838Z             {
2022-11-23T01:32:37.2771978Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2772163Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2772313Z                 'obj_weakref': None
2022-11-23T01:32:37.2772535Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2772598Z             }
2022-11-23T01:32:37.2772661Z             
2022-11-23T01:32:37.2772717Z  - 
2022-11-23T01:32:37.2772839Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2772901Z             {
2022-11-23T01:32:37.2773076Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2773183Z                 'code': None,
2022-11-23T01:32:37.2773390Z                 'obj_weakref': <weakref at 0x7f7106c93cb0; to 'Tensor' at 0x7f7106721470>
2022-11-23T01:32:37.2773637Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2773688Z             }
2022-11-23T01:32:37.2773750Z             
2022-11-23T01:32:37.2773817Z  - 
2022-11-23T01:32:37.2773937Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2774000Z             {
2022-11-23T01:32:37.2774133Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2774301Z                 'code': ['___check_obj_id(model, 140126074655312)'],
2022-11-23T01:32:37.2774502Z                 'obj_weakref': <weakref at 0x7f7106763710; to 'Sequential' at 0x7f71a4e75250>
2022-11-23T01:32:37.2774737Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2774800Z             }
2022-11-23T01:32:37.2774862Z             
2022-11-23T01:32:37.2774930Z  - 
2022-11-23T01:32:37.2775050Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2775113Z             {
2022-11-23T01:32:37.2775237Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2775456Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2775573Z                 'obj_weakref': None
2022-11-23T01:32:37.2775793Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2775856Z             }
2022-11-23T01:32:37.2775919Z             
2022-11-23T01:32:37.2775987Z  - 
2022-11-23T01:32:37.2776119Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2776180Z             {
2022-11-23T01:32:37.2776302Z                 'guard_types': None,
2022-11-23T01:32:37.2776408Z                 'code': None,
2022-11-23T01:32:37.2776526Z                 'obj_weakref': None
2022-11-23T01:32:37.2776645Z                 'guarded_class': None
2022-11-23T01:32:37.2776708Z             }
2022-11-23T01:32:37.2776757Z             
2022-11-23T01:32:37.2776823Z  - 
2022-11-23T01:32:37.2776967Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2777029Z             {
2022-11-23T01:32:37.2777146Z                 'guard_types': None,
2022-11-23T01:32:37.2777252Z                 'code': None,
2022-11-23T01:32:37.2777367Z                 'obj_weakref': None
2022-11-23T01:32:37.2777475Z                 'guarded_class': None
2022-11-23T01:32:37.2777538Z             }
2022-11-23T01:32:37.2777600Z             
2022-11-23T01:32:37.2777858Z [2022-11-23 01:17:23,429] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 113
2022-11-23T01:32:37.2777863Z 
2022-11-23T01:32:37.2777867Z 
2022-11-23T01:32:37.2777959Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2778027Z import torch
2022-11-23T01:32:37.2778097Z import random
2022-11-23T01:32:37.2778200Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2778320Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2778325Z 
2022-11-23T01:32:37.2778403Z aten = torch.ops.aten
2022-11-23T01:32:37.2778537Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2778630Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2778634Z 
2022-11-23T01:32:37.2778639Z 
2022-11-23T01:32:37.2778770Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2779002Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2779116Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2779207Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2779310Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2779409Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2779540Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2779601Z {
2022-11-23T01:32:37.2779698Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2779759Z     {
2022-11-23T01:32:37.2779824Z         #pragma omp for 
2022-11-23T01:32:37.2779906Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.2779970Z         {
2022-11-23T01:32:37.2780058Z             for(long i1=0; i1<10398; i1+=1)
2022-11-23T01:32:37.2780123Z             {
2022-11-23T01:32:37.2780274Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.2780405Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2780528Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2780640Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2780761Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2780897Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2781103Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2781192Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2781279Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2781380Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2781513Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2781586Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2781677Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2781768Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2781857Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2781968Z                 tmp14.store(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.2782034Z             }
2022-11-23T01:32:37.2782128Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2782209Z             for(long i1=166368; i1<166375; i1+=1)
2022-11-23T01:32:37.2782273Z             {
2022-11-23T01:32:37.2782378Z                 auto tmp0 = in_out_ptr0[i1 + (166375*i0)];
2022-11-23T01:32:37.2782470Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2782557Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2782644Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2782732Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2782846Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2783005Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2783091Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2783191Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2783273Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2783372Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2783459Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2783535Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2783625Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2783715Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2783813Z                 in_out_ptr0[i1 + (166375*i0)] = tmp14;
2022-11-23T01:32:37.2783877Z             }
2022-11-23T01:32:37.2783941Z         }
2022-11-23T01:32:37.2784002Z     }
2022-11-23T01:32:37.2784049Z }
2022-11-23T01:32:37.2784128Z ''')
2022-11-23T01:32:37.2784133Z 
2022-11-23T01:32:37.2784138Z 
2022-11-23T01:32:37.2784226Z async_compile.wait(globals())
2022-11-23T01:32:37.2784336Z del async_compile
2022-11-23T01:32:37.2784341Z 
2022-11-23T01:32:37.2784411Z def call(args):
2022-11-23T01:32:37.2784611Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.2784686Z     args.clear()
2022-11-23T01:32:37.2784829Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T01:32:37.2784964Z     assert_size_stride(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2022-11-23T01:32:37.2785034Z     del arg0_1
2022-11-23T01:32:37.2785101Z     del arg1_1
2022-11-23T01:32:37.2785167Z     del arg7_1
2022-11-23T01:32:37.2785295Z     buf1 = as_strided(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1)); del buf0  # reuse
2022-11-23T01:32:37.2785510Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.2785577Z     del arg2_1
2022-11-23T01:32:37.2785632Z     del arg3_1
2022-11-23T01:32:37.2785698Z     del arg4_1
2022-11-23T01:32:37.2785764Z     del arg5_1
2022-11-23T01:32:37.2785835Z     return (buf1, )
2022-11-23T01:32:37.2785841Z 
2022-11-23T01:32:37.2785845Z 
2022-11-23T01:32:37.2785923Z if __name__ == "__main__":
2022-11-23T01:32:37.2786037Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2786161Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2786383Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2786563Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2786754Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2786942Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2787129Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2787318Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2787498Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2787736Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2787894Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.2787899Z 
2022-11-23T01:32:37.2787906Z 
2022-11-23T01:32:37.2787987Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2788055Z import torch
2022-11-23T01:32:37.2788126Z import random
2022-11-23T01:32:37.2788239Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2788359Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2788364Z 
2022-11-23T01:32:37.2788441Z aten = torch.ops.aten
2022-11-23T01:32:37.2788574Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2788667Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2788672Z 
2022-11-23T01:32:37.2788677Z 
2022-11-23T01:32:37.2788796Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2788999Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2789117Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2789215Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.2789275Z {
2022-11-23T01:32:37.2789373Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2789434Z     {
2022-11-23T01:32:37.2789511Z         #pragma omp for  collapse(2)
2022-11-23T01:32:37.2789591Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T01:32:37.2789653Z         {
2022-11-23T01:32:37.2789743Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:32:37.2789806Z             {
2022-11-23T01:32:37.2789870Z                 {
2022-11-23T01:32:37.2789936Z                     {
2022-11-23T01:32:37.2790024Z                         auto tmp0 = in_ptr0[i0 + (3*i1)];
2022-11-23T01:32:37.2790155Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:32:37.2790222Z                     }
2022-11-23T01:32:37.2790287Z                 }
2022-11-23T01:32:37.2790349Z             }
2022-11-23T01:32:37.2790412Z         }
2022-11-23T01:32:37.2790472Z     }
2022-11-23T01:32:37.2790518Z }
2022-11-23T01:32:37.2790595Z ''')
2022-11-23T01:32:37.2790599Z 
2022-11-23T01:32:37.2790603Z 
2022-11-23T01:32:37.2790780Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.2790985Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2791101Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2791204Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2791306Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2791393Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2791495Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2791554Z {
2022-11-23T01:32:37.2791650Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2791711Z     {
2022-11-23T01:32:37.2791787Z         #pragma omp for 
2022-11-23T01:32:37.2791869Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.2791918Z         {
2022-11-23T01:32:37.2792007Z             for(long i1=0; i1<10398; i1+=1)
2022-11-23T01:32:37.2792070Z             {
2022-11-23T01:32:37.2792220Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.2792350Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2792472Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2792596Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2792714Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2792832Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2793037Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2793123Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2793209Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2793309Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2793441Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2793528Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2793614Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2793693Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2793783Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2793893Z                 tmp14.store(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.2793958Z             }
2022-11-23T01:32:37.2794051Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2794141Z             for(long i1=166368; i1<166375; i1+=1)
2022-11-23T01:32:37.2794207Z             {
2022-11-23T01:32:37.2794297Z                 auto tmp0 = in_out_ptr0[i1 + (166375*i0)];
2022-11-23T01:32:37.2794381Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2794466Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2794555Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2794641Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2794771Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2794926Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2794999Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2795094Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2795175Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2795274Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2795357Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2795443Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2795562Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2795639Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2795737Z                 in_out_ptr0[i1 + (166375*i0)] = tmp14;
2022-11-23T01:32:37.2795800Z             }
2022-11-23T01:32:37.2795862Z         }
2022-11-23T01:32:37.2795925Z     }
2022-11-23T01:32:37.2795986Z }
2022-11-23T01:32:37.2796063Z ''')
2022-11-23T01:32:37.2796067Z 
2022-11-23T01:32:37.2796072Z 
2022-11-23T01:32:37.2796176Z async_compile.wait(globals())
2022-11-23T01:32:37.2796249Z del async_compile
2022-11-23T01:32:37.2796255Z 
2022-11-23T01:32:37.2796325Z def call(args):
2022-11-23T01:32:37.2796445Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.2796519Z     args.clear()
2022-11-23T01:32:37.2796756Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2796890Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.2796958Z     del arg7_1
2022-11-23T01:32:37.2797086Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T01:32:37.2797424Z     assert_size_stride(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2022-11-23T01:32:37.2797494Z     del arg0_1
2022-11-23T01:32:37.2797562Z     del arg1_1
2022-11-23T01:32:37.2797628Z     del buf0
2022-11-23T01:32:37.2797757Z     buf2 = as_strided(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1)); del buf1  # reuse
2022-11-23T01:32:37.2797969Z     kernel_cpp_1(c_void_p(buf2.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.2798023Z     del arg2_1
2022-11-23T01:32:37.2798112Z     del arg3_1
2022-11-23T01:32:37.2798179Z     del arg4_1
2022-11-23T01:32:37.2798246Z     del arg5_1
2022-11-23T01:32:37.2798318Z     return (buf2, )
2022-11-23T01:32:37.2798325Z 
2022-11-23T01:32:37.2798331Z 
2022-11-23T01:32:37.2798408Z if __name__ == "__main__":
2022-11-23T01:32:37.2798524Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2798649Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2798853Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2799045Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2799238Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2799426Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2799607Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2799791Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2799970Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2800202Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2800344Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.2800716Z [2022-11-23 01:17:25,979] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eh/cehpjhk3bpn7ln3rt2ymza3o4cgzfio7hz2aa7yqpruewshunwbc.py
2022-11-23T01:32:37.2800983Z [2022-11-23 01:17:25,979] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 113
2022-11-23T01:32:37.2801220Z [2022-11-23 01:17:27,433] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2801485Z [2022-11-23 01:17:27,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2801700Z [2022-11-23 01:17:27,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2801941Z [2022-11-23 01:17:27,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2802286Z [2022-11-23 01:17:27,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2802602Z [2022-11-23 01:17:27,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2802870Z [2022-11-23 01:17:27,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2803109Z [2022-11-23 01:17:27,472] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2803363Z [2022-11-23 01:17:27,474] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2803614Z [2022-11-23 01:17:27,508] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2803801Z [2022-11-23 01:17:27,508] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2803938Z  __compiled_fn_115 <eval_with_key>.744 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2804030Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2804131Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2804220Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2804319Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2804324Z 
2022-11-23T01:32:37.2804602Z [2022-11-23 01:17:27,509] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2804696Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2804786Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2804876Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2804965Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2805040Z               8 RETURN_VALUE
2022-11-23T01:32:37.2805045Z 
2022-11-23T01:32:37.2805096Z  
2022-11-23T01:32:37.2805369Z [2022-11-23 01:17:27,509] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2805475Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_115)
2022-11-23T01:32:37.2805565Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2805654Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2805729Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2805819Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2805909Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2805972Z              12 RETURN_VALUE
2022-11-23T01:32:37.2805977Z 
2022-11-23T01:32:37.2806037Z  
2022-11-23T01:32:37.2806217Z [2022-11-23 01:17:27,510] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2806285Z  - 
2022-11-23T01:32:37.2806404Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2806467Z             {
2022-11-23T01:32:37.2806606Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2806780Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2806898Z                 'obj_weakref': None
2022-11-23T01:32:37.2807120Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2807184Z             }
2022-11-23T01:32:37.2807248Z             
2022-11-23T01:32:37.2807319Z  - 
2022-11-23T01:32:37.2807475Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2807526Z             {
2022-11-23T01:32:37.2807667Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2807773Z                 'code': None,
2022-11-23T01:32:37.2807977Z                 'obj_weakref': <weakref at 0x7f7106d18410; to 'Tensor' at 0x7f7106c79e30>
2022-11-23T01:32:37.2808225Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2808289Z             }
2022-11-23T01:32:37.2808380Z             
2022-11-23T01:32:37.2808435Z  - 
2022-11-23T01:32:37.2808553Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2808615Z             {
2022-11-23T01:32:37.2808750Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2808918Z                 'code': ['___check_obj_id(model, 140125776568016)'],
2022-11-23T01:32:37.2809135Z                 'obj_weakref': <weakref at 0x7f7106d18d10; to 'Sequential' at 0x7f719322ded0>
2022-11-23T01:32:37.2809398Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2809450Z             }
2022-11-23T01:32:37.2809511Z             
2022-11-23T01:32:37.2809580Z  - 
2022-11-23T01:32:37.2809701Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2809764Z             {
2022-11-23T01:32:37.2809901Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2810116Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2810223Z                 'obj_weakref': None
2022-11-23T01:32:37.2810440Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2810503Z             }
2022-11-23T01:32:37.2810565Z             
2022-11-23T01:32:37.2810633Z  - 
2022-11-23T01:32:37.2810778Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2810840Z             {
2022-11-23T01:32:37.2810946Z                 'guard_types': None,
2022-11-23T01:32:37.2811053Z                 'code': None,
2022-11-23T01:32:37.2811171Z                 'obj_weakref': None
2022-11-23T01:32:37.2811290Z                 'guarded_class': None
2022-11-23T01:32:37.2811352Z             }
2022-11-23T01:32:37.2811413Z             
2022-11-23T01:32:37.2811479Z  - 
2022-11-23T01:32:37.2811609Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2811670Z             {
2022-11-23T01:32:37.2811789Z                 'guard_types': None,
2022-11-23T01:32:37.2811895Z                 'code': None,
2022-11-23T01:32:37.2812011Z                 'obj_weakref': None
2022-11-23T01:32:37.2812131Z                 'guarded_class': None
2022-11-23T01:32:37.2812180Z             }
2022-11-23T01:32:37.2812243Z             
2022-11-23T01:32:37.2812503Z [2022-11-23 01:17:27,565] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 114
2022-11-23T01:32:37.2812880Z [2022-11-23 01:17:30,140] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6r/c6rvifngordjdijjq3fbbyownfomvih5syvjeq6pwtesu4zitpek.py
2022-11-23T01:32:37.2813143Z [2022-11-23 01:17:30,140] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 114
2022-11-23T01:32:37.2813378Z [2022-11-23 01:17:34,599] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2813642Z [2022-11-23 01:17:34,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2813861Z [2022-11-23 01:17:34,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2814105Z [2022-11-23 01:17:34,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2814366Z [2022-11-23 01:17:34,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2814682Z [2022-11-23 01:17:34,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2814928Z [2022-11-23 01:17:34,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2815161Z [2022-11-23 01:17:34,639] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2815413Z [2022-11-23 01:17:34,641] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2815658Z [2022-11-23 01:17:34,674] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2815881Z [2022-11-23 01:17:34,675] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2816012Z  __compiled_fn_116 <eval_with_key>.750 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2816102Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2816190Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2816319Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2816418Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2816424Z 
2022-11-23T01:32:37.2816699Z [2022-11-23 01:17:34,675] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2816793Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2816884Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2816978Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2817072Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2817136Z               8 RETURN_VALUE
2022-11-23T01:32:37.2817141Z 
2022-11-23T01:32:37.2817203Z  
2022-11-23T01:32:37.2817476Z [2022-11-23 01:17:34,676] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2817586Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_116)
2022-11-23T01:32:37.2817677Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2817777Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2817854Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2817929Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2818020Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2818095Z              12 RETURN_VALUE
2022-11-23T01:32:37.2818100Z 
2022-11-23T01:32:37.2818159Z  
2022-11-23T01:32:37.2818341Z [2022-11-23 01:17:34,677] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2818414Z  - 
2022-11-23T01:32:37.2818533Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2818584Z             {
2022-11-23T01:32:37.2818725Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2818910Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2819029Z                 'obj_weakref': None
2022-11-23T01:32:37.2819255Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2819322Z             }
2022-11-23T01:32:37.2819388Z             
2022-11-23T01:32:37.2819443Z  - 
2022-11-23T01:32:37.2819566Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2819629Z             {
2022-11-23T01:32:37.2819770Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2819877Z                 'code': None,
2022-11-23T01:32:37.2820085Z                 'obj_weakref': <weakref at 0x7f7106c79e90; to 'Tensor' at 0x7f7106c868f0>
2022-11-23T01:32:37.2820334Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2820401Z             }
2022-11-23T01:32:37.2820451Z             
2022-11-23T01:32:37.2820519Z  - 
2022-11-23T01:32:37.2820638Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2820702Z             {
2022-11-23T01:32:37.2820837Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2821005Z                 'code': ['___check_obj_id(model, 140125776568016)'],
2022-11-23T01:32:37.2821210Z                 'obj_weakref': <weakref at 0x7f7106d18d10; to 'Sequential' at 0x7f719322ded0>
2022-11-23T01:32:37.2821442Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2821506Z             }
2022-11-23T01:32:37.2821567Z             
2022-11-23T01:32:37.2821635Z  - 
2022-11-23T01:32:37.2821755Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2821816Z             {
2022-11-23T01:32:37.2821938Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2822187Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2822302Z                 'obj_weakref': None
2022-11-23T01:32:37.2822518Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2822581Z             }
2022-11-23T01:32:37.2822645Z             
2022-11-23T01:32:37.2822712Z  - 
2022-11-23T01:32:37.2822873Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2822936Z             {
2022-11-23T01:32:37.2823055Z                 'guard_types': None,
2022-11-23T01:32:37.2823162Z                 'code': None,
2022-11-23T01:32:37.2823278Z                 'obj_weakref': None
2022-11-23T01:32:37.2823397Z                 'guarded_class': None
2022-11-23T01:32:37.2823459Z             }
2022-11-23T01:32:37.2823509Z             
2022-11-23T01:32:37.2823575Z  - 
2022-11-23T01:32:37.2823719Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2823783Z             {
2022-11-23T01:32:37.2823901Z                 'guard_types': None,
2022-11-23T01:32:37.2824005Z                 'code': None,
2022-11-23T01:32:37.2824121Z                 'obj_weakref': None
2022-11-23T01:32:37.2824227Z                 'guarded_class': None
2022-11-23T01:32:37.2824288Z             }
2022-11-23T01:32:37.2824350Z             
2022-11-23T01:32:37.2824709Z [2022-11-23 01:17:34,733] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 115
2022-11-23T01:32:37.2824716Z 
2022-11-23T01:32:37.2824721Z 
2022-11-23T01:32:37.2824815Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2824884Z import torch
2022-11-23T01:32:37.2824953Z import random
2022-11-23T01:32:37.2825055Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2825181Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2825186Z 
2022-11-23T01:32:37.2825264Z aten = torch.ops.aten
2022-11-23T01:32:37.2825397Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2825495Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2825500Z 
2022-11-23T01:32:37.2825505Z 
2022-11-23T01:32:37.2825640Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2825847Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2825966Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2826074Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2826167Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2826269Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2826367Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2826427Z {
2022-11-23T01:32:37.2826524Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2826585Z     {
2022-11-23T01:32:37.2826649Z         #pragma omp for 
2022-11-23T01:32:37.2826732Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.2826794Z         {
2022-11-23T01:32:37.2826883Z             for(long i1=0; i1<10398; i1+=1)
2022-11-23T01:32:37.2826946Z             {
2022-11-23T01:32:37.2827098Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.2827223Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2827344Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2827457Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2827576Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2827706Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2827909Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2827996Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2828082Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2828217Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2828350Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2828423Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2828510Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2828603Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2828692Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2828835Z                 tmp14.store(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.2828900Z             }
2022-11-23T01:32:37.2828991Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2829070Z             for(long i1=166368; i1<166375; i1+=1)
2022-11-23T01:32:37.2829135Z             {
2022-11-23T01:32:37.2829236Z                 auto tmp0 = in_out_ptr0[i1 + (166375*i0)];
2022-11-23T01:32:37.2829323Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2829410Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2829501Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2829589Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2829704Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2829859Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2829948Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2830045Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2830129Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2830228Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2830313Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2830387Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2830477Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2830566Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2830663Z                 in_out_ptr0[i1 + (166375*i0)] = tmp14;
2022-11-23T01:32:37.2830728Z             }
2022-11-23T01:32:37.2830792Z         }
2022-11-23T01:32:37.2830854Z     }
2022-11-23T01:32:37.2830901Z }
2022-11-23T01:32:37.2830978Z ''')
2022-11-23T01:32:37.2830983Z 
2022-11-23T01:32:37.2830987Z 
2022-11-23T01:32:37.2831076Z async_compile.wait(globals())
2022-11-23T01:32:37.2831148Z del async_compile
2022-11-23T01:32:37.2831154Z 
2022-11-23T01:32:37.2831223Z def call(args):
2022-11-23T01:32:37.2831343Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.2831416Z     args.clear()
2022-11-23T01:32:37.2831559Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2022-11-23T01:32:37.2831665Z     assert_size_stride(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2022-11-23T01:32:37.2831732Z     del arg0_1
2022-11-23T01:32:37.2831798Z     del arg1_1
2022-11-23T01:32:37.2831863Z     del arg7_1
2022-11-23T01:32:37.2831990Z     buf1 = as_strided(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1)); del buf0  # reuse
2022-11-23T01:32:37.2832203Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.2832269Z     del arg2_1
2022-11-23T01:32:37.2832321Z     del arg3_1
2022-11-23T01:32:37.2832387Z     del arg4_1
2022-11-23T01:32:37.2832451Z     del arg5_1
2022-11-23T01:32:37.2832521Z     return (buf1, )
2022-11-23T01:32:37.2832526Z 
2022-11-23T01:32:37.2832531Z 
2022-11-23T01:32:37.2832610Z if __name__ == "__main__":
2022-11-23T01:32:37.2832723Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2832846Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2833065Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2833248Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2833442Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2833666Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2833855Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2834043Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2834222Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2834505Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2834661Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.2834666Z 
2022-11-23T01:32:37.2834670Z 
2022-11-23T01:32:37.2834766Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2834823Z import torch
2022-11-23T01:32:37.2834893Z import random
2022-11-23T01:32:37.2835005Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2835128Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2835133Z 
2022-11-23T01:32:37.2835211Z aten = torch.ops.aten
2022-11-23T01:32:37.2835346Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2835439Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2835444Z 
2022-11-23T01:32:37.2835448Z 
2022-11-23T01:32:37.2835568Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2835776Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2835897Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2835997Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.2836060Z {
2022-11-23T01:32:37.2836158Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2836222Z     {
2022-11-23T01:32:37.2836286Z         #pragma omp for 
2022-11-23T01:32:37.2836369Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:37.2836433Z         {
2022-11-23T01:32:37.2836516Z             #pragma GCC ivdep
2022-11-23T01:32:37.2836607Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:32:37.2836671Z             {
2022-11-23T01:32:37.2836737Z                 {
2022-11-23T01:32:37.2836790Z                     {
2022-11-23T01:32:37.2836892Z                         auto tmp0 = in_ptr0[i0 + (12*i1)];
2022-11-23T01:32:37.2836989Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:32:37.2837054Z                     }
2022-11-23T01:32:37.2837349Z                 }
2022-11-23T01:32:37.2837414Z             }
2022-11-23T01:32:37.2837478Z         }
2022-11-23T01:32:37.2837526Z     }
2022-11-23T01:32:37.2837587Z }
2022-11-23T01:32:37.2837669Z ''')
2022-11-23T01:32:37.2837674Z 
2022-11-23T01:32:37.2837678Z 
2022-11-23T01:32:37.2837811Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.2838018Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2838139Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2838246Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2838334Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2838436Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2838538Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2838599Z {
2022-11-23T01:32:37.2838697Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2838758Z     {
2022-11-23T01:32:37.2838837Z         #pragma omp for 
2022-11-23T01:32:37.2838906Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.2838969Z         {
2022-11-23T01:32:37.2839059Z             for(long i1=0; i1<10398; i1+=1)
2022-11-23T01:32:37.2839123Z             {
2022-11-23T01:32:37.2839274Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.2839399Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2839582Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2839710Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2839816Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2839948Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2840155Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2840281Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2840370Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2840470Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2840605Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2840692Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2840767Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2840860Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2840957Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2841067Z                 tmp14.store(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.2841132Z             }
2022-11-23T01:32:37.2841224Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2841316Z             for(long i1=166368; i1<166375; i1+=1)
2022-11-23T01:32:37.2841367Z             {
2022-11-23T01:32:37.2841469Z                 auto tmp0 = in_out_ptr0[i1 + (166375*i0)];
2022-11-23T01:32:37.2841556Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2841641Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2841729Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2841815Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2841941Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2842086Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2842174Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2842269Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2842354Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2842453Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2842537Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2842623Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2842700Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2842790Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2842888Z                 in_out_ptr0[i1 + (166375*i0)] = tmp14;
2022-11-23T01:32:37.2842951Z             }
2022-11-23T01:32:37.2843015Z         }
2022-11-23T01:32:37.2843076Z     }
2022-11-23T01:32:37.2843137Z }
2022-11-23T01:32:37.2843202Z ''')
2022-11-23T01:32:37.2843207Z 
2022-11-23T01:32:37.2843211Z 
2022-11-23T01:32:37.2843299Z async_compile.wait(globals())
2022-11-23T01:32:37.2843371Z del async_compile
2022-11-23T01:32:37.2843376Z 
2022-11-23T01:32:37.2843446Z def call(args):
2022-11-23T01:32:37.2843566Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.2843639Z     args.clear()
2022-11-23T01:32:37.2843879Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2844010Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.2844065Z     del arg7_1
2022-11-23T01:32:37.2844206Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2022-11-23T01:32:37.2844324Z     assert_size_stride(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2022-11-23T01:32:37.2844392Z     del arg0_1
2022-11-23T01:32:37.2844457Z     del arg1_1
2022-11-23T01:32:37.2844520Z     del buf0
2022-11-23T01:32:37.2844646Z     buf2 = as_strided(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1)); del buf1  # reuse
2022-11-23T01:32:37.2844842Z     kernel_cpp_1(c_void_p(buf2.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.2844940Z     del arg2_1
2022-11-23T01:32:37.2845005Z     del arg3_1
2022-11-23T01:32:37.2845070Z     del arg4_1
2022-11-23T01:32:37.2845135Z     del arg5_1
2022-11-23T01:32:37.2845204Z     return (buf2, )
2022-11-23T01:32:37.2845209Z 
2022-11-23T01:32:37.2845214Z 
2022-11-23T01:32:37.2845289Z if __name__ == "__main__":
2022-11-23T01:32:37.2845401Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2845543Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2845761Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2845956Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2846148Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2846340Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2846529Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2846716Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2846895Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2847117Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2847272Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.2847647Z [2022-11-23 01:17:37,468] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5e/c5ejcqzdy7sz2clopwujwwprf4oomkofxricpcdgte45utjaa3r7.py
2022-11-23T01:32:37.2847912Z [2022-11-23 01:17:37,469] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 115
2022-11-23T01:32:37.2848151Z [2022-11-23 01:17:41,727] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2848419Z [2022-11-23 01:17:41,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2848637Z [2022-11-23 01:17:41,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2848881Z [2022-11-23 01:17:41,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2849160Z [2022-11-23 01:17:41,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2849462Z [2022-11-23 01:17:41,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2849707Z [2022-11-23 01:17:41,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2849941Z [2022-11-23 01:17:41,765] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2850198Z [2022-11-23 01:17:41,767] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2850446Z [2022-11-23 01:17:41,801] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2850636Z [2022-11-23 01:17:41,801] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2850770Z  __compiled_fn_117 <eval_with_key>.756 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2850864Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2850964Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2851053Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2851153Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2851158Z 
2022-11-23T01:32:37.2851437Z [2022-11-23 01:17:41,802] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2851531Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2851652Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2851744Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2851834Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2851898Z               8 RETURN_VALUE
2022-11-23T01:32:37.2851916Z 
2022-11-23T01:32:37.2851965Z  
2022-11-23T01:32:37.2852238Z [2022-11-23 01:17:41,802] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2852377Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_117)
2022-11-23T01:32:37.2852468Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2852560Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2852637Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2852728Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2852806Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2852881Z              12 RETURN_VALUE
2022-11-23T01:32:37.2852888Z 
2022-11-23T01:32:37.2852951Z  
2022-11-23T01:32:37.2853137Z [2022-11-23 01:17:41,803] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2853207Z  - 
2022-11-23T01:32:37.2853324Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2853389Z             {
2022-11-23T01:32:37.2853516Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2853701Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2853823Z                 'obj_weakref': None
2022-11-23T01:32:37.2854046Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2854111Z             }
2022-11-23T01:32:37.2854175Z             
2022-11-23T01:32:37.2854243Z  - 
2022-11-23T01:32:37.2854354Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2854418Z             {
2022-11-23T01:32:37.2854560Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2854666Z                 'code': None,
2022-11-23T01:32:37.2854876Z                 'obj_weakref': <weakref at 0x7f71060e74d0; to 'Tensor' at 0x7f7106d7e530>
2022-11-23T01:32:37.2855124Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2855189Z             }
2022-11-23T01:32:37.2855240Z             
2022-11-23T01:32:37.2855308Z  - 
2022-11-23T01:32:37.2855427Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2855489Z             {
2022-11-23T01:32:37.2855626Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2855794Z                 'code': ['___check_obj_id(model, 140123409619728)'],
2022-11-23T01:32:37.2856008Z                 'obj_weakref': <weakref at 0x7f7106d8e950; to 'Sequential' at 0x7f71060e1b10>
2022-11-23T01:32:37.2856227Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2856291Z             }
2022-11-23T01:32:37.2856353Z             
2022-11-23T01:32:37.2856424Z  - 
2022-11-23T01:32:37.2856543Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2856605Z             {
2022-11-23T01:32:37.2856739Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2856943Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2857060Z                 'obj_weakref': None
2022-11-23T01:32:37.2857279Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2857344Z             }
2022-11-23T01:32:37.2857407Z             
2022-11-23T01:32:37.2857476Z  - 
2022-11-23T01:32:37.2857620Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2857670Z             {
2022-11-23T01:32:37.2857788Z                 'guard_types': None,
2022-11-23T01:32:37.2857893Z                 'code': None,
2022-11-23T01:32:37.2858008Z                 'obj_weakref': None
2022-11-23T01:32:37.2858129Z                 'guarded_class': None
2022-11-23T01:32:37.2858221Z             }
2022-11-23T01:32:37.2858281Z             
2022-11-23T01:32:37.2858337Z  - 
2022-11-23T01:32:37.2858479Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2858541Z             {
2022-11-23T01:32:37.2858658Z                 'guard_types': None,
2022-11-23T01:32:37.2858763Z                 'code': None,
2022-11-23T01:32:37.2858878Z                 'obj_weakref': None
2022-11-23T01:32:37.2858997Z                 'guarded_class': None
2022-11-23T01:32:37.2859074Z             }
2022-11-23T01:32:37.2859136Z             
2022-11-23T01:32:37.2859398Z [2022-11-23 01:17:41,858] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 116
2022-11-23T01:32:37.2859766Z [2022-11-23 01:17:41,895] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n6/cn6g5bkqekjchjcsifm3zsmyrxmfm6qiwogcmityq7znz4hsxewj.py
2022-11-23T01:32:37.2860028Z [2022-11-23 01:17:41,895] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 116
2022-11-23T01:32:37.2860266Z [2022-11-23 01:17:43,235] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2860530Z [2022-11-23 01:17:43,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2860748Z [2022-11-23 01:17:43,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2860977Z [2022-11-23 01:17:43,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2861251Z [2022-11-23 01:17:43,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2861565Z [2022-11-23 01:17:43,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2861810Z [2022-11-23 01:17:43,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2862045Z [2022-11-23 01:17:43,271] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2862294Z [2022-11-23 01:17:43,277] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2862541Z [2022-11-23 01:17:43,308] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2862730Z [2022-11-23 01:17:43,309] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2862860Z  __compiled_fn_118 <eval_with_key>.762 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2862937Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2863035Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2863137Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2863235Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2863241Z 
2022-11-23T01:32:37.2863514Z [2022-11-23 01:17:43,309] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2863610Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2863699Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2863789Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2863883Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2863994Z               8 RETURN_VALUE
2022-11-23T01:32:37.2864002Z 
2022-11-23T01:32:37.2864081Z  
2022-11-23T01:32:37.2864542Z [2022-11-23 01:17:43,309] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2864656Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_118)
2022-11-23T01:32:37.2864748Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2864839Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2864902Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2864993Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2865131Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2865208Z              12 RETURN_VALUE
2022-11-23T01:32:37.2865213Z 
2022-11-23T01:32:37.2865273Z  
2022-11-23T01:32:37.2865459Z [2022-11-23 01:17:43,310] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2865526Z  - 
2022-11-23T01:32:37.2865631Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2865695Z             {
2022-11-23T01:32:37.2865835Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2866050Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2866170Z                 'obj_weakref': None
2022-11-23T01:32:37.2866396Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2866461Z             }
2022-11-23T01:32:37.2866526Z             
2022-11-23T01:32:37.2866581Z  - 
2022-11-23T01:32:37.2866705Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2866772Z             {
2022-11-23T01:32:37.2866917Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2867024Z                 'code': None,
2022-11-23T01:32:37.2867237Z                 'obj_weakref': <weakref at 0x7f7106d7e110; to 'Tensor' at 0x7f71060eb170>
2022-11-23T01:32:37.2867486Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2867537Z             }
2022-11-23T01:32:37.2867599Z             
2022-11-23T01:32:37.2867669Z  - 
2022-11-23T01:32:37.2867787Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2867849Z             {
2022-11-23T01:32:37.2867982Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2868138Z                 'code': ['___check_obj_id(model, 140123409619728)'],
2022-11-23T01:32:37.2868349Z                 'obj_weakref': <weakref at 0x7f7106d8e950; to 'Sequential' at 0x7f71060e1b10>
2022-11-23T01:32:37.2868579Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2868647Z             }
2022-11-23T01:32:37.2868710Z             
2022-11-23T01:32:37.2868778Z  - 
2022-11-23T01:32:37.2868899Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2868962Z             {
2022-11-23T01:32:37.2869084Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2869300Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2869419Z                 'obj_weakref': None
2022-11-23T01:32:37.2869636Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2869700Z             }
2022-11-23T01:32:37.2869763Z             
2022-11-23T01:32:37.2869830Z  - 
2022-11-23T01:32:37.2869962Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2870024Z             {
2022-11-23T01:32:37.2870140Z                 'guard_types': None,
2022-11-23T01:32:37.2870244Z                 'code': None,
2022-11-23T01:32:37.2870363Z                 'obj_weakref': None
2022-11-23T01:32:37.2870483Z                 'guarded_class': None
2022-11-23T01:32:37.2870533Z             }
2022-11-23T01:32:37.2870595Z             
2022-11-23T01:32:37.2870662Z  - 
2022-11-23T01:32:37.2870806Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2870869Z             {
2022-11-23T01:32:37.2870987Z                 'guard_types': None,
2022-11-23T01:32:37.2871092Z                 'code': None,
2022-11-23T01:32:37.2871198Z                 'obj_weakref': None
2022-11-23T01:32:37.2871319Z                 'guarded_class': None
2022-11-23T01:32:37.2871382Z             }
2022-11-23T01:32:37.2871443Z             
2022-11-23T01:32:37.2871702Z [2022-11-23 01:17:43,362] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 117
2022-11-23T01:32:37.2871707Z 
2022-11-23T01:32:37.2871711Z 
2022-11-23T01:32:37.2871804Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2871872Z import torch
2022-11-23T01:32:37.2871979Z import random
2022-11-23T01:32:37.2872082Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2872204Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2872209Z 
2022-11-23T01:32:37.2872287Z aten = torch.ops.aten
2022-11-23T01:32:37.2872419Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2872509Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2872514Z 
2022-11-23T01:32:37.2872518Z 
2022-11-23T01:32:37.2872678Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2872883Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2873001Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2873094Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2873198Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2873300Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2873407Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2873467Z {
2022-11-23T01:32:37.2873564Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2873626Z     {
2022-11-23T01:32:37.2873690Z         #pragma omp for 
2022-11-23T01:32:37.2873770Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.2873833Z         {
2022-11-23T01:32:37.2873922Z             for(long i1=0; i1<10398; i1+=1)
2022-11-23T01:32:37.2873985Z             {
2022-11-23T01:32:37.2874137Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.2874263Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2874372Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2874495Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2874613Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2874745Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2874949Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2875046Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2875181Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2875313Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2875436Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2875524Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2875612Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2875705Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2875795Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2875903Z                 tmp14.store(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.2875967Z             }
2022-11-23T01:32:37.2876047Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2876140Z             for(long i1=166368; i1<166375; i1+=1)
2022-11-23T01:32:37.2876202Z             {
2022-11-23T01:32:37.2876306Z                 auto tmp0 = in_out_ptr0[i1 + (166375*i0)];
2022-11-23T01:32:37.2876392Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2876479Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2876565Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2876637Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2876775Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2876930Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2877014Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2877220Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2877305Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2877405Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2877491Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2877565Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2877721Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2877812Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2877911Z                 in_out_ptr0[i1 + (166375*i0)] = tmp14;
2022-11-23T01:32:37.2877976Z             }
2022-11-23T01:32:37.2878044Z         }
2022-11-23T01:32:37.2878094Z     }
2022-11-23T01:32:37.2878156Z }
2022-11-23T01:32:37.2878238Z ''')
2022-11-23T01:32:37.2878243Z 
2022-11-23T01:32:37.2878247Z 
2022-11-23T01:32:37.2878399Z async_compile.wait(globals())
2022-11-23T01:32:37.2878473Z del async_compile
2022-11-23T01:32:37.2878478Z 
2022-11-23T01:32:37.2878547Z def call(args):
2022-11-23T01:32:37.2878666Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.2878736Z     args.clear()
2022-11-23T01:32:37.2878866Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2022-11-23T01:32:37.2878983Z     assert_size_stride(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2022-11-23T01:32:37.2879054Z     del arg0_1
2022-11-23T01:32:37.2879122Z     del arg1_1
2022-11-23T01:32:37.2879188Z     del arg7_1
2022-11-23T01:32:37.2879317Z     buf1 = as_strided(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1)); del buf0  # reuse
2022-11-23T01:32:37.2879534Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.2879603Z     del arg2_1
2022-11-23T01:32:37.2879656Z     del arg3_1
2022-11-23T01:32:37.2879722Z     del arg4_1
2022-11-23T01:32:37.2879788Z     del arg5_1
2022-11-23T01:32:37.2879859Z     return (buf1, )
2022-11-23T01:32:37.2879865Z 
2022-11-23T01:32:37.2879869Z 
2022-11-23T01:32:37.2879946Z if __name__ == "__main__":
2022-11-23T01:32:37.2880063Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2880189Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2880397Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2880594Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2880787Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2880978Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2881167Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2881353Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2881531Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2881765Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2881907Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.2881928Z 
2022-11-23T01:32:37.2881933Z 
2022-11-23T01:32:37.2882014Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2882084Z import torch
2022-11-23T01:32:37.2882154Z import random
2022-11-23T01:32:37.2882270Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2882390Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2882394Z 
2022-11-23T01:32:37.2882472Z aten = torch.ops.aten
2022-11-23T01:32:37.2882608Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2882686Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2882691Z 
2022-11-23T01:32:37.2882707Z 
2022-11-23T01:32:37.2882827Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2883028Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2883147Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2883244Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.2883336Z {
2022-11-23T01:32:37.2883433Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2883495Z     {
2022-11-23T01:32:37.2883572Z         #pragma omp for  collapse(2)
2022-11-23T01:32:37.2883652Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T01:32:37.2883714Z         {
2022-11-23T01:32:37.2883803Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:32:37.2883866Z             {
2022-11-23T01:32:37.2883931Z                 {
2022-11-23T01:32:37.2883985Z                     {
2022-11-23T01:32:37.2884114Z                         auto tmp0 = in_ptr0[i0 + (3*i1)];
2022-11-23T01:32:37.2884212Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:32:37.2884279Z                     }
2022-11-23T01:32:37.2884343Z                 }
2022-11-23T01:32:37.2884406Z             }
2022-11-23T01:32:37.2884469Z         }
2022-11-23T01:32:37.2884517Z     }
2022-11-23T01:32:37.2884577Z }
2022-11-23T01:32:37.2884656Z ''')
2022-11-23T01:32:37.2884661Z 
2022-11-23T01:32:37.2884665Z 
2022-11-23T01:32:37.2884801Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.2885008Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2885126Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2885230Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2885332Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2885419Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2885518Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2885580Z {
2022-11-23T01:32:37.2885676Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2885738Z     {
2022-11-23T01:32:37.2885816Z         #pragma omp for 
2022-11-23T01:32:37.2885899Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.2885948Z         {
2022-11-23T01:32:37.2886037Z             for(long i1=0; i1<10398; i1+=1)
2022-11-23T01:32:37.2886101Z             {
2022-11-23T01:32:37.2886252Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.2886379Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2886502Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2886625Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2886748Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2886866Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2887072Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2887160Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2887246Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2887348Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2887482Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2887572Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2887647Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2887740Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2887831Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2887939Z                 tmp14.store(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.2888005Z             }
2022-11-23T01:32:37.2888097Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2888191Z             for(long i1=166368; i1<166375; i1+=1)
2022-11-23T01:32:37.2888242Z             {
2022-11-23T01:32:37.2888348Z                 auto tmp0 = in_out_ptr0[i1 + (166375*i0)];
2022-11-23T01:32:37.2888434Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2888520Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2888607Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2888694Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2888850Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2888991Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2889078Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2889173Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2889256Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2894886Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2895021Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2895183Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2895264Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2895357Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2895456Z                 in_out_ptr0[i1 + (166375*i0)] = tmp14;
2022-11-23T01:32:37.2895524Z             }
2022-11-23T01:32:37.2895589Z         }
2022-11-23T01:32:37.2895653Z     }
2022-11-23T01:32:37.2895715Z }
2022-11-23T01:32:37.2895811Z ''')
2022-11-23T01:32:37.2895817Z 
2022-11-23T01:32:37.2895840Z 
2022-11-23T01:32:37.2895920Z async_compile.wait(globals())
2022-11-23T01:32:37.2895990Z del async_compile
2022-11-23T01:32:37.2895995Z 
2022-11-23T01:32:37.2896066Z def call(args):
2022-11-23T01:32:37.2896189Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.2896262Z     args.clear()
2022-11-23T01:32:37.2896504Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2896643Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.2896698Z     del arg7_1
2022-11-23T01:32:37.2896842Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2022-11-23T01:32:37.2896959Z     assert_size_stride(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2022-11-23T01:32:37.2897026Z     del arg0_1
2022-11-23T01:32:37.2897092Z     del arg1_1
2022-11-23T01:32:37.2897157Z     del buf0
2022-11-23T01:32:37.2897284Z     buf2 = as_strided(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1)); del buf1  # reuse
2022-11-23T01:32:37.2897482Z     kernel_cpp_1(c_void_p(buf2.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.2897549Z     del arg2_1
2022-11-23T01:32:37.2897612Z     del arg3_1
2022-11-23T01:32:37.2897676Z     del arg4_1
2022-11-23T01:32:37.2897741Z     del arg5_1
2022-11-23T01:32:37.2897814Z     return (buf2, )
2022-11-23T01:32:37.2897820Z 
2022-11-23T01:32:37.2897824Z 
2022-11-23T01:32:37.2897899Z if __name__ == "__main__":
2022-11-23T01:32:37.2898013Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2898124Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2898343Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2898537Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2898729Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2898915Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2899098Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2899281Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2899463Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2899679Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2899832Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.2900211Z [2022-11-23 01:17:43,404] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/au/cau5l6qnkoplr2y2homussifmghwqyhenf6nwebahkiwf6dbniiz.py
2022-11-23T01:32:37.2900477Z [2022-11-23 01:17:43,405] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 117
2022-11-23T01:32:37.2900754Z [2022-11-23 01:17:44,933] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2901023Z [2022-11-23 01:17:44,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2901238Z [2022-11-23 01:17:44,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2901507Z [2022-11-23 01:17:44,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2901787Z [2022-11-23 01:17:44,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2902089Z [2022-11-23 01:17:44,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2902336Z [2022-11-23 01:17:44,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2902571Z [2022-11-23 01:17:44,969] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2902825Z [2022-11-23 01:17:44,971] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2903074Z [2022-11-23 01:17:45,001] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2903262Z [2022-11-23 01:17:45,002] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2903394Z  __compiled_fn_119 <eval_with_key>.768 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2903485Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2903585Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2903674Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2903773Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2903778Z 
2022-11-23T01:32:37.2904059Z [2022-11-23 01:17:45,002] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2904152Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2904242Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2904337Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2904426Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2904575Z               8 RETURN_VALUE
2022-11-23T01:32:37.2904598Z 
2022-11-23T01:32:37.2904648Z  
2022-11-23T01:32:37.2904924Z [2022-11-23 01:17:45,002] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2905033Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_119)
2022-11-23T01:32:37.2905125Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2905214Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2905292Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2905383Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2905460Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2905536Z              12 RETURN_VALUE
2022-11-23T01:32:37.2905541Z 
2022-11-23T01:32:37.2905601Z  
2022-11-23T01:32:37.2905783Z [2022-11-23 01:17:45,003] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2905852Z  - 
2022-11-23T01:32:37.2905971Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2906037Z             {
2022-11-23T01:32:37.2906167Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2906353Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2906470Z                 'obj_weakref': None
2022-11-23T01:32:37.2906691Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2906753Z             }
2022-11-23T01:32:37.2906816Z             
2022-11-23T01:32:37.2906885Z  - 
2022-11-23T01:32:37.2907034Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2907096Z             {
2022-11-23T01:32:37.2907236Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2907342Z                 'code': None,
2022-11-23T01:32:37.2907548Z                 'obj_weakref': <weakref at 0x7f7106e52d10; to 'Tensor' at 0x7f7106d40b90>
2022-11-23T01:32:37.2907797Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2907887Z             }
2022-11-23T01:32:37.2907938Z             
2022-11-23T01:32:37.2908005Z  - 
2022-11-23T01:32:37.2908123Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2908186Z             {
2022-11-23T01:32:37.2908319Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2908488Z                 'code': ['___check_obj_id(model, 140123420786832)'],
2022-11-23T01:32:37.2908701Z                 'obj_weakref': <weakref at 0x7f7106e85d10; to 'Sequential' at 0x7f7106b88090>
2022-11-23T01:32:37.2908922Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2908985Z             }
2022-11-23T01:32:37.2909047Z             
2022-11-23T01:32:37.2909114Z  - 
2022-11-23T01:32:37.2909235Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2909298Z             {
2022-11-23T01:32:37.2909432Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2909637Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2909756Z                 'obj_weakref': None
2022-11-23T01:32:37.2909971Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2910034Z             }
2022-11-23T01:32:37.2910096Z             
2022-11-23T01:32:37.2910162Z  - 
2022-11-23T01:32:37.2910307Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2910357Z             {
2022-11-23T01:32:37.2910476Z                 'guard_types': None,
2022-11-23T01:32:37.2910584Z                 'code': None,
2022-11-23T01:32:37.2910699Z                 'obj_weakref': None
2022-11-23T01:32:37.2910818Z                 'guarded_class': None
2022-11-23T01:32:37.2910881Z             }
2022-11-23T01:32:37.2910943Z             
2022-11-23T01:32:37.2910998Z  - 
2022-11-23T01:32:37.2911140Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2911202Z             {
2022-11-23T01:32:37.2911324Z                 'guard_types': None,
2022-11-23T01:32:37.2911428Z                 'code': None,
2022-11-23T01:32:37.2911546Z                 'obj_weakref': None
2022-11-23T01:32:37.2911664Z                 'guarded_class': None
2022-11-23T01:32:37.2911714Z             }
2022-11-23T01:32:37.2911775Z             
2022-11-23T01:32:37.2912034Z [2022-11-23 01:17:45,057] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 118
2022-11-23T01:32:37.2912399Z [2022-11-23 01:17:45,092] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/72/c72nht5hi3g57zmcs3vj6mivoqpos6non5ktbfqy4wssqs373fsx.py
2022-11-23T01:32:37.2912664Z [2022-11-23 01:17:45,093] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 118
2022-11-23T01:32:37.2912899Z [2022-11-23 01:17:49,703] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2913166Z [2022-11-23 01:17:49,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2913384Z [2022-11-23 01:17:49,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2913612Z [2022-11-23 01:17:49,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2913884Z [2022-11-23 01:17:49,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2914199Z [2022-11-23 01:17:49,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2914474Z [2022-11-23 01:17:49,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2914705Z [2022-11-23 01:17:49,739] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2914954Z [2022-11-23 01:17:49,740] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2915234Z [2022-11-23 01:17:49,772] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2915423Z [2022-11-23 01:17:49,772] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2915555Z  __compiled_fn_120 <eval_with_key>.774 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2915630Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2915729Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2915829Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2915929Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2915935Z 
2022-11-23T01:32:37.2916211Z [2022-11-23 01:17:49,773] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2916305Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2916396Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2916490Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2916568Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2916643Z               8 RETURN_VALUE
2022-11-23T01:32:37.2916649Z 
2022-11-23T01:32:37.2916710Z  
2022-11-23T01:32:37.2917078Z [2022-11-23 01:17:49,773] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2917315Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_120)
2022-11-23T01:32:37.2917410Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2917504Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2917568Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2917658Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2917749Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2917825Z              12 RETURN_VALUE
2022-11-23T01:32:37.2917830Z 
2022-11-23T01:32:37.2917891Z  
2022-11-23T01:32:37.2918082Z [2022-11-23 01:17:49,774] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2918152Z  - 
2022-11-23T01:32:37.2918270Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2918322Z             {
2022-11-23T01:32:37.2918463Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2918650Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2918768Z                 'obj_weakref': None
2022-11-23T01:32:37.2918990Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2919058Z             }
2022-11-23T01:32:37.2919120Z             
2022-11-23T01:32:37.2919175Z  - 
2022-11-23T01:32:37.2919298Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2919360Z             {
2022-11-23T01:32:37.2919501Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2919606Z                 'code': None,
2022-11-23T01:32:37.2919812Z                 'obj_weakref': <weakref at 0x7f71069e4710; to 'Tensor' at 0x7f71060e7290>
2022-11-23T01:32:37.2920059Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2920110Z             }
2022-11-23T01:32:37.2920173Z             
2022-11-23T01:32:37.2920240Z  - 
2022-11-23T01:32:37.2920358Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2920420Z             {
2022-11-23T01:32:37.2920552Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2920721Z                 'code': ['___check_obj_id(model, 140123420786832)'],
2022-11-23T01:32:37.2920997Z                 'obj_weakref': <weakref at 0x7f7106e85d10; to 'Sequential' at 0x7f7106b88090>
2022-11-23T01:32:37.2921238Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2921302Z             }
2022-11-23T01:32:37.2921366Z             
2022-11-23T01:32:37.2921436Z  - 
2022-11-23T01:32:37.2921558Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2921623Z             {
2022-11-23T01:32:37.2921778Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2922000Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2922118Z                 'obj_weakref': None
2022-11-23T01:32:37.2922337Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2922401Z             }
2022-11-23T01:32:37.2922467Z             
2022-11-23T01:32:37.2922537Z  - 
2022-11-23T01:32:37.2922670Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2922734Z             {
2022-11-23T01:32:37.2922854Z                 'guard_types': None,
2022-11-23T01:32:37.2922958Z                 'code': None,
2022-11-23T01:32:37.2923073Z                 'obj_weakref': None
2022-11-23T01:32:37.2923194Z                 'guarded_class': None
2022-11-23T01:32:37.2923256Z             }
2022-11-23T01:32:37.2923305Z             
2022-11-23T01:32:37.2923373Z  - 
2022-11-23T01:32:37.2923518Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2923581Z             {
2022-11-23T01:32:37.2923697Z                 'guard_types': None,
2022-11-23T01:32:37.2923803Z                 'code': None,
2022-11-23T01:32:37.2923907Z                 'obj_weakref': None
2022-11-23T01:32:37.2924026Z                 'guarded_class': None
2022-11-23T01:32:37.2924088Z             }
2022-11-23T01:32:37.2924150Z             
2022-11-23T01:32:37.2924412Z [2022-11-23 01:17:49,826] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 119
2022-11-23T01:32:37.2924419Z 
2022-11-23T01:32:37.2924424Z 
2022-11-23T01:32:37.2924517Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2924584Z import torch
2022-11-23T01:32:37.2924653Z import random
2022-11-23T01:32:37.2924756Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2924876Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2924881Z 
2022-11-23T01:32:37.2924962Z aten = torch.ops.aten
2022-11-23T01:32:37.2925097Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2925189Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2925194Z 
2022-11-23T01:32:37.2925198Z 
2022-11-23T01:32:37.2925333Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2925541Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2925658Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2925753Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2925857Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2925960Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2926060Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2926122Z {
2022-11-23T01:32:37.2926221Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2926284Z     {
2022-11-23T01:32:37.2926349Z         #pragma omp for 
2022-11-23T01:32:37.2926434Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.2926498Z         {
2022-11-23T01:32:37.2926588Z             for(long i1=0; i1<10398; i1+=1)
2022-11-23T01:32:37.2926653Z             {
2022-11-23T01:32:37.2926811Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.2926938Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2927048Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2927207Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2927330Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2927459Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2927666Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2927756Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2927869Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2927971Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2928091Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2928176Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2928265Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2928357Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2928447Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2928558Z                 tmp14.store(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.2928623Z             }
2022-11-23T01:32:37.2928702Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2928793Z             for(long i1=166368; i1<166375; i1+=1)
2022-11-23T01:32:37.2928861Z             {
2022-11-23T01:32:37.2928965Z                 auto tmp0 = in_out_ptr0[i1 + (166375*i0)];
2022-11-23T01:32:37.2929052Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2929139Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2929228Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2929315Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2929430Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2929586Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2929675Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2929771Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2929854Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2929953Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2930037Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2930110Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2930200Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2930288Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2930384Z                 in_out_ptr0[i1 + (166375*i0)] = tmp14;
2022-11-23T01:32:37.2930450Z             }
2022-11-23T01:32:37.2930514Z         }
2022-11-23T01:32:37.2930575Z     }
2022-11-23T01:32:37.2930623Z }
2022-11-23T01:32:37.2930701Z ''')
2022-11-23T01:32:37.2930705Z 
2022-11-23T01:32:37.2930710Z 
2022-11-23T01:32:37.2930799Z async_compile.wait(globals())
2022-11-23T01:32:37.2930872Z del async_compile
2022-11-23T01:32:37.2930877Z 
2022-11-23T01:32:37.2930946Z def call(args):
2022-11-23T01:32:37.2931066Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.2931140Z     args.clear()
2022-11-23T01:32:37.2931269Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2022-11-23T01:32:37.2931387Z     assert_size_stride(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2022-11-23T01:32:37.2931455Z     del arg0_1
2022-11-23T01:32:37.2931521Z     del arg1_1
2022-11-23T01:32:37.2931585Z     del arg7_1
2022-11-23T01:32:37.2931714Z     buf1 = as_strided(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1)); del buf0  # reuse
2022-11-23T01:32:37.2931924Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.2931990Z     del arg2_1
2022-11-23T01:32:37.2932041Z     del arg3_1
2022-11-23T01:32:37.2932106Z     del arg4_1
2022-11-23T01:32:37.2932170Z     del arg5_1
2022-11-23T01:32:37.2932240Z     return (buf1, )
2022-11-23T01:32:37.2932245Z 
2022-11-23T01:32:37.2932278Z 
2022-11-23T01:32:37.2932354Z if __name__ == "__main__":
2022-11-23T01:32:37.2932468Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2932589Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2932800Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2932995Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2933222Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2933410Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2933601Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2933790Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2933966Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2934202Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2934345Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.2934363Z 
2022-11-23T01:32:37.2934367Z 
2022-11-23T01:32:37.2934449Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2934517Z import torch
2022-11-23T01:32:37.2934586Z import random
2022-11-23T01:32:37.2934702Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2934820Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2934825Z 
2022-11-23T01:32:37.2934902Z aten = torch.ops.aten
2022-11-23T01:32:37.2935035Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2935114Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2935131Z 
2022-11-23T01:32:37.2935135Z 
2022-11-23T01:32:37.2935255Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2935458Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2935579Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2935678Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.2935741Z {
2022-11-23T01:32:37.2935838Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2935900Z     {
2022-11-23T01:32:37.2935964Z         #pragma omp for 
2022-11-23T01:32:37.2936051Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:37.2936115Z         {
2022-11-23T01:32:37.2936194Z             #pragma GCC ivdep
2022-11-23T01:32:37.2936284Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:32:37.2936347Z             {
2022-11-23T01:32:37.2936399Z                 {
2022-11-23T01:32:37.2936464Z                     {
2022-11-23T01:32:37.2936566Z                         auto tmp0 = in_ptr0[i0 + (12*i1)];
2022-11-23T01:32:37.2936663Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:32:37.2936732Z                     }
2022-11-23T01:32:37.2936798Z                 }
2022-11-23T01:32:37.2936861Z             }
2022-11-23T01:32:37.2936910Z         }
2022-11-23T01:32:37.2936969Z     }
2022-11-23T01:32:37.2937028Z }
2022-11-23T01:32:37.2937104Z ''')
2022-11-23T01:32:37.2937109Z 
2022-11-23T01:32:37.2937113Z 
2022-11-23T01:32:37.2937243Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.2937450Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2937566Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2937668Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2937758Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2937857Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2937957Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2938019Z {
2022-11-23T01:32:37.2938115Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2938220Z     {
2022-11-23T01:32:37.2938297Z         #pragma omp for 
2022-11-23T01:32:37.2938367Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.2938428Z         {
2022-11-23T01:32:37.2938518Z             for(long i1=0; i1<10398; i1+=1)
2022-11-23T01:32:37.2938581Z             {
2022-11-23T01:32:37.2938728Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.2938885Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2939007Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2939118Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2939241Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2939372Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2939576Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2939666Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2939753Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2939851Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2939987Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2940061Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2940151Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2940245Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2940334Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2940442Z                 tmp14.store(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.2940505Z             }
2022-11-23T01:32:37.2940596Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2940674Z             for(long i1=166368; i1<166375; i1+=1)
2022-11-23T01:32:37.2940738Z             {
2022-11-23T01:32:37.2940840Z                 auto tmp0 = in_out_ptr0[i1 + (166375*i0)];
2022-11-23T01:32:37.2940926Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2941011Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2941097Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2941182Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2941296Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2941450Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2941535Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2941630Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2941711Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2941809Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2941893Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2941978Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2942054Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2942143Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2942241Z                 in_out_ptr0[i1 + (166375*i0)] = tmp14;
2022-11-23T01:32:37.2942304Z             }
2022-11-23T01:32:37.2942367Z         }
2022-11-23T01:32:37.2942429Z     }
2022-11-23T01:32:37.2942476Z }
2022-11-23T01:32:37.2942553Z ''')
2022-11-23T01:32:37.2942557Z 
2022-11-23T01:32:37.2942562Z 
2022-11-23T01:32:37.2942652Z async_compile.wait(globals())
2022-11-23T01:32:37.2942723Z del async_compile
2022-11-23T01:32:37.2942728Z 
2022-11-23T01:32:37.2942797Z def call(args):
2022-11-23T01:32:37.2942916Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.2942988Z     args.clear()
2022-11-23T01:32:37.2943225Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2943344Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.2943413Z     del arg7_1
2022-11-23T01:32:37.2943554Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2022-11-23T01:32:37.2943701Z     assert_size_stride(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2022-11-23T01:32:37.2943769Z     del arg0_1
2022-11-23T01:32:37.2943836Z     del arg1_1
2022-11-23T01:32:37.2943900Z     del buf0
2022-11-23T01:32:37.2944016Z     buf2 = as_strided(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1)); del buf1  # reuse
2022-11-23T01:32:37.2944255Z     kernel_cpp_1(c_void_p(buf2.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.2944324Z     del arg2_1
2022-11-23T01:32:37.2944389Z     del arg3_1
2022-11-23T01:32:37.2944525Z     del arg4_1
2022-11-23T01:32:37.2944598Z     del arg5_1
2022-11-23T01:32:37.2944670Z     return (buf2, )
2022-11-23T01:32:37.2944675Z 
2022-11-23T01:32:37.2944679Z 
2022-11-23T01:32:37.2944755Z if __name__ == "__main__":
2022-11-23T01:32:37.2944857Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2944984Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2945212Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2945408Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2945601Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2945793Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2945981Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2946167Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2946333Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2946564Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2946718Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.2947097Z [2022-11-23 01:17:49,870] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ct/cctfedropqillsntffixld5sotjsk4olocrja5yewioly7qnqnef.py
2022-11-23T01:32:37.2947363Z [2022-11-23 01:17:49,870] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 119
2022-11-23T01:32:37.2947601Z [2022-11-23 01:17:54,105] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2947866Z [2022-11-23 01:17:54,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2948082Z [2022-11-23 01:17:54,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2948326Z [2022-11-23 01:17:54,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2948589Z [2022-11-23 01:17:54,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2948905Z [2022-11-23 01:17:54,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2949150Z [2022-11-23 01:17:54,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2949385Z [2022-11-23 01:17:54,143] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2949635Z [2022-11-23 01:17:54,144] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2949882Z [2022-11-23 01:17:54,178] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2950069Z [2022-11-23 01:17:54,178] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2950201Z  __compiled_fn_121 <eval_with_key>.780 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2950328Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2950413Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2950514Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2950611Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2950616Z 
2022-11-23T01:32:37.2950892Z [2022-11-23 01:17:54,179] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2951012Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2951103Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2951193Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2951287Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2951349Z               8 RETURN_VALUE
2022-11-23T01:32:37.2951355Z 
2022-11-23T01:32:37.2951417Z  
2022-11-23T01:32:37.2951689Z [2022-11-23 01:17:54,179] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2951800Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_121)
2022-11-23T01:32:37.2951890Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2951979Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2952055Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2952129Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2952218Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2952295Z              12 RETURN_VALUE
2022-11-23T01:32:37.2952299Z 
2022-11-23T01:32:37.2952359Z  
2022-11-23T01:32:37.2952540Z [2022-11-23 01:17:54,180] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2952608Z  - 
2022-11-23T01:32:37.2952725Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2952777Z             {
2022-11-23T01:32:37.2952916Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2953098Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2953218Z                 'obj_weakref': None
2022-11-23T01:32:37.2953440Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2953505Z             }
2022-11-23T01:32:37.2953568Z             
2022-11-23T01:32:37.2953623Z  - 
2022-11-23T01:32:37.2953745Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2953808Z             {
2022-11-23T01:32:37.2953948Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2954058Z                 'code': None,
2022-11-23T01:32:37.2954265Z                 'obj_weakref': <weakref at 0x7f71069a6bf0; to 'Tensor' at 0x7f7106cebef0>
2022-11-23T01:32:37.2954513Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2954575Z             }
2022-11-23T01:32:37.2954626Z             
2022-11-23T01:32:37.2954694Z  - 
2022-11-23T01:32:37.2954811Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2954874Z             {
2022-11-23T01:32:37.2955010Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2955178Z                 'code': ['___check_obj_id(model, 140123418057616)'],
2022-11-23T01:32:37.2955379Z                 'obj_weakref': <weakref at 0x7f7106a37470; to 'Sequential' at 0x7f71068edb90>
2022-11-23T01:32:37.2955611Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2955673Z             }
2022-11-23T01:32:37.2955737Z             
2022-11-23T01:32:37.2955804Z  - 
2022-11-23T01:32:37.2955925Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2955987Z             {
2022-11-23T01:32:37.2956110Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2956328Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2956446Z                 'obj_weakref': None
2022-11-23T01:32:37.2956665Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2956760Z             }
2022-11-23T01:32:37.2956822Z             
2022-11-23T01:32:37.2956890Z  - 
2022-11-23T01:32:37.2957023Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2957084Z             {
2022-11-23T01:32:37.2957357Z                 'guard_types': None,
2022-11-23T01:32:37.2957465Z                 'code': None,
2022-11-23T01:32:37.2957581Z                 'obj_weakref': None
2022-11-23T01:32:37.2957749Z                 'guarded_class': None
2022-11-23T01:32:37.2957815Z             }
2022-11-23T01:32:37.2957864Z             
2022-11-23T01:32:37.2957934Z  - 
2022-11-23T01:32:37.2958078Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2958142Z             {
2022-11-23T01:32:37.2958261Z                 'guard_types': None,
2022-11-23T01:32:37.2958368Z                 'code': None,
2022-11-23T01:32:37.2958485Z                 'obj_weakref': None
2022-11-23T01:32:37.2958592Z                 'guarded_class': None
2022-11-23T01:32:37.2958657Z             }
2022-11-23T01:32:37.2958721Z             
2022-11-23T01:32:37.2958980Z [2022-11-23 01:17:54,233] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 120
2022-11-23T01:32:37.2959354Z [2022-11-23 01:17:56,794] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/na/cnanmljfxiusn2iqdwahgoomd52v75qmh74xln4fjkidflr6a3s4.py
2022-11-23T01:32:37.2959621Z [2022-11-23 01:17:56,794] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 120
2022-11-23T01:32:37.2959855Z [2022-11-23 01:17:58,050] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2960119Z [2022-11-23 01:17:58,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2960324Z [2022-11-23 01:17:58,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2960568Z [2022-11-23 01:17:58,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2960844Z [2022-11-23 01:17:58,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2961157Z [2022-11-23 01:17:58,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2961405Z [2022-11-23 01:17:58,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2961637Z [2022-11-23 01:17:58,090] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2961888Z [2022-11-23 01:17:58,091] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2962135Z [2022-11-23 01:17:58,126] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2962326Z [2022-11-23 01:17:58,127] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2962446Z  __compiled_fn_122 <eval_with_key>.786 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2962537Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2962636Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2962738Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2962838Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2962843Z 
2022-11-23T01:32:37.2963123Z [2022-11-23 01:17:58,128] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2963217Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2963308Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2963387Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2963477Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2963555Z               8 RETURN_VALUE
2022-11-23T01:32:37.2963560Z 
2022-11-23T01:32:37.2963662Z  
2022-11-23T01:32:37.2963935Z [2022-11-23 01:17:58,128] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2964043Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_122)
2022-11-23T01:32:37.2964134Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2964225Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2964289Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2964409Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2964501Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2964576Z              12 RETURN_VALUE
2022-11-23T01:32:37.2964581Z 
2022-11-23T01:32:37.2964641Z  
2022-11-23T01:32:37.2964825Z [2022-11-23 01:17:58,129] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2964894Z  - 
2022-11-23T01:32:37.2964999Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2965064Z             {
2022-11-23T01:32:37.2965203Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2965394Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.2965514Z                 'obj_weakref': None
2022-11-23T01:32:37.2965737Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.2965803Z             }
2022-11-23T01:32:37.2965854Z             
2022-11-23T01:32:37.2965923Z  - 
2022-11-23T01:32:37.2966047Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.2966113Z             {
2022-11-23T01:32:37.2966257Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.2966364Z                 'code': None,
2022-11-23T01:32:37.2966569Z                 'obj_weakref': <weakref at 0x7f7106787530; to 'Tensor' at 0x7f71c25db350>
2022-11-23T01:32:37.2966804Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.2966866Z             }
2022-11-23T01:32:37.2966931Z             
2022-11-23T01:32:37.2966999Z  - 
2022-11-23T01:32:37.2967118Z             local 'model' NN_MODULE
2022-11-23T01:32:37.2967181Z             {
2022-11-23T01:32:37.2967313Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.2967469Z                 'code': ['___check_obj_id(model, 140123418057616)'],
2022-11-23T01:32:37.2967679Z                 'obj_weakref': <weakref at 0x7f7106a37470; to 'Sequential' at 0x7f71068edb90>
2022-11-23T01:32:37.2967912Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.2967974Z             }
2022-11-23T01:32:37.2968038Z             
2022-11-23T01:32:37.2968105Z  - 
2022-11-23T01:32:37.2968227Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.2968277Z             {
2022-11-23T01:32:37.2968411Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.2968625Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.2968744Z                 'obj_weakref': None
2022-11-23T01:32:37.2968959Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.2969021Z             }
2022-11-23T01:32:37.2969083Z             
2022-11-23T01:32:37.2969138Z  - 
2022-11-23T01:32:37.2969281Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.2969346Z             {
2022-11-23T01:32:37.2969463Z                 'guard_types': None,
2022-11-23T01:32:37.2969571Z                 'code': None,
2022-11-23T01:32:37.2969685Z                 'obj_weakref': None
2022-11-23T01:32:37.2969805Z                 'guarded_class': None
2022-11-23T01:32:37.2969854Z             }
2022-11-23T01:32:37.2969917Z             
2022-11-23T01:32:37.2969984Z  - 
2022-11-23T01:32:37.2970128Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.2970189Z             {
2022-11-23T01:32:37.2970305Z                 'guard_types': None,
2022-11-23T01:32:37.2970398Z                 'code': None,
2022-11-23T01:32:37.2970545Z                 'obj_weakref': None
2022-11-23T01:32:37.2970665Z                 'guarded_class': None
2022-11-23T01:32:37.2970727Z             }
2022-11-23T01:32:37.2970790Z             
2022-11-23T01:32:37.2971050Z [2022-11-23 01:17:58,184] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 121
2022-11-23T01:32:37.2971055Z 
2022-11-23T01:32:37.2971060Z 
2022-11-23T01:32:37.2971152Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2971249Z import torch
2022-11-23T01:32:37.2971306Z import random
2022-11-23T01:32:37.2971421Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2971542Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2971547Z 
2022-11-23T01:32:37.2971624Z aten = torch.ops.aten
2022-11-23T01:32:37.2971758Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2971849Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2971854Z 
2022-11-23T01:32:37.2971860Z 
2022-11-23T01:32:37.2971995Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2972197Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2972301Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2972404Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2972507Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2972610Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2972712Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2972773Z {
2022-11-23T01:32:37.2972871Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2972920Z     {
2022-11-23T01:32:37.2972996Z         #pragma omp for 
2022-11-23T01:32:37.2973076Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.2973138Z         {
2022-11-23T01:32:37.2973226Z             for(long i1=0; i1<9304; i1+=1)
2022-11-23T01:32:37.2973291Z             {
2022-11-23T01:32:37.2973445Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (148877*i0));
2022-11-23T01:32:37.2973559Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2973679Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2973801Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2973924Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2974053Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2974256Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2974344Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2974430Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2974517Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2974650Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2974737Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2974824Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2974917Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2975007Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2975113Z                 tmp14.store(in_out_ptr0 + (16*i1) + (148877*i0));
2022-11-23T01:32:37.2975176Z             }
2022-11-23T01:32:37.2975257Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2975347Z             for(long i1=148864; i1<148877; i1+=1)
2022-11-23T01:32:37.2975410Z             {
2022-11-23T01:32:37.2975514Z                 auto tmp0 = in_out_ptr0[i1 + (148877*i0)];
2022-11-23T01:32:37.2975599Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2975683Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2975771Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2975845Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2976002Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2976155Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2976240Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2976334Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2976415Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2976512Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2976584Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2976697Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2976790Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2976879Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2976979Z                 in_out_ptr0[i1 + (148877*i0)] = tmp14;
2022-11-23T01:32:37.2977043Z             }
2022-11-23T01:32:37.2977106Z         }
2022-11-23T01:32:37.2977156Z     }
2022-11-23T01:32:37.2977215Z }
2022-11-23T01:32:37.2977295Z ''')
2022-11-23T01:32:37.2977300Z 
2022-11-23T01:32:37.2977307Z 
2022-11-23T01:32:37.2977395Z async_compile.wait(globals())
2022-11-23T01:32:37.2977468Z del async_compile
2022-11-23T01:32:37.2977473Z 
2022-11-23T01:32:37.2977544Z def call(args):
2022-11-23T01:32:37.2977663Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.2977721Z     args.clear()
2022-11-23T01:32:37.2977863Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T01:32:37.2977981Z     assert_size_stride(buf0, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1))
2022-11-23T01:32:37.2978048Z     del arg0_1
2022-11-23T01:32:37.2978115Z     del arg1_1
2022-11-23T01:32:37.2978179Z     del arg7_1
2022-11-23T01:32:37.2978305Z     buf1 = as_strided(buf0, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1)); del buf0  # reuse
2022-11-23T01:32:37.2978515Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.2978572Z     del arg2_1
2022-11-23T01:32:37.2978636Z     del arg3_1
2022-11-23T01:32:37.2978701Z     del arg4_1
2022-11-23T01:32:37.2978766Z     del arg5_1
2022-11-23T01:32:37.2978838Z     return (buf1, )
2022-11-23T01:32:37.2978843Z 
2022-11-23T01:32:37.2978847Z 
2022-11-23T01:32:37.2978924Z if __name__ == "__main__":
2022-11-23T01:32:37.2979038Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2979149Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2979370Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2979563Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2979753Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2979941Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2980126Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2980314Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2980491Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2980710Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2980867Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.2980873Z 
2022-11-23T01:32:37.2980877Z 
2022-11-23T01:32:37.2980969Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.2981037Z import torch
2022-11-23T01:32:37.2981108Z import random
2022-11-23T01:32:37.2981222Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.2981342Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.2981347Z 
2022-11-23T01:32:37.2981426Z aten = torch.ops.aten
2022-11-23T01:32:37.2981547Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.2981682Z async_compile = AsyncCompile()
2022-11-23T01:32:37.2981687Z 
2022-11-23T01:32:37.2981691Z 
2022-11-23T01:32:37.2981823Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.2982027Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2982147Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2982280Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.2982341Z {
2022-11-23T01:32:37.2982438Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2982487Z     {
2022-11-23T01:32:37.2982576Z         #pragma omp for  collapse(2)
2022-11-23T01:32:37.2982658Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T01:32:37.2982720Z         {
2022-11-23T01:32:37.2982810Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:32:37.2982873Z             {
2022-11-23T01:32:37.2982936Z                 {
2022-11-23T01:32:37.2982992Z                     {
2022-11-23T01:32:37.2983092Z                         auto tmp0 = in_ptr0[i0 + (3*i1)];
2022-11-23T01:32:37.2983191Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:32:37.2983257Z                     }
2022-11-23T01:32:37.2983320Z                 }
2022-11-23T01:32:37.2983382Z             }
2022-11-23T01:32:37.2983443Z         }
2022-11-23T01:32:37.2983491Z     }
2022-11-23T01:32:37.2983550Z }
2022-11-23T01:32:37.2983628Z ''')
2022-11-23T01:32:37.2983635Z 
2022-11-23T01:32:37.2983640Z 
2022-11-23T01:32:37.2983771Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.2983975Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.2984092Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.2984197Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.2984288Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.2984386Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.2984616Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.2984679Z {
2022-11-23T01:32:37.2984778Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.2984840Z     {
2022-11-23T01:32:37.2984920Z         #pragma omp for 
2022-11-23T01:32:37.2984987Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.2985050Z         {
2022-11-23T01:32:37.2985138Z             for(long i1=0; i1<9304; i1+=1)
2022-11-23T01:32:37.2985204Z             {
2022-11-23T01:32:37.2985355Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (148877*i0));
2022-11-23T01:32:37.2985484Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.2985606Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.2985732Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.2985839Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.2985980Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2986186Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.2986278Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2986366Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.2986464Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.2986599Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.2986685Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2986760Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2986851Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2986940Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2987050Z                 tmp14.store(in_out_ptr0 + (16*i1) + (148877*i0));
2022-11-23T01:32:37.2987116Z             }
2022-11-23T01:32:37.2987208Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.2987337Z             for(long i1=148864; i1<148877; i1+=1)
2022-11-23T01:32:37.2987387Z             {
2022-11-23T01:32:37.2987490Z                 auto tmp0 = in_out_ptr0[i1 + (148877*i0)];
2022-11-23T01:32:37.2987575Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.2987659Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.2987745Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.2987859Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.2987985Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.2988128Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.2988215Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.2988312Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.2988394Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.2988493Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.2988579Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.2988669Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.2988746Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.2988836Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.2988946Z                 in_out_ptr0[i1 + (148877*i0)] = tmp14;
2022-11-23T01:32:37.2989037Z             }
2022-11-23T01:32:37.2989128Z         }
2022-11-23T01:32:37.2989220Z     }
2022-11-23T01:32:37.2989284Z }
2022-11-23T01:32:37.2989353Z ''')
2022-11-23T01:32:37.2989360Z 
2022-11-23T01:32:37.2989364Z 
2022-11-23T01:32:37.2989456Z async_compile.wait(globals())
2022-11-23T01:32:37.2989529Z del async_compile
2022-11-23T01:32:37.2989534Z 
2022-11-23T01:32:37.2989603Z def call(args):
2022-11-23T01:32:37.2989723Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.2989794Z     args.clear()
2022-11-23T01:32:37.2990027Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2990150Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.2990217Z     del arg7_1
2022-11-23T01:32:37.2990357Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T01:32:37.2990472Z     assert_size_stride(buf1, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1))
2022-11-23T01:32:37.2990539Z     del arg0_1
2022-11-23T01:32:37.2990605Z     del arg1_1
2022-11-23T01:32:37.2990672Z     del buf0
2022-11-23T01:32:37.2990798Z     buf2 = as_strided(buf1, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1)); del buf1  # reuse
2022-11-23T01:32:37.2990993Z     kernel_cpp_1(c_void_p(buf2.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.2991060Z     del arg2_1
2022-11-23T01:32:37.2991125Z     del arg3_1
2022-11-23T01:32:37.2991190Z     del arg4_1
2022-11-23T01:32:37.2991257Z     del arg5_1
2022-11-23T01:32:37.2991330Z     return (buf2, )
2022-11-23T01:32:37.2991335Z 
2022-11-23T01:32:37.2991339Z 
2022-11-23T01:32:37.2991414Z if __name__ == "__main__":
2022-11-23T01:32:37.2991514Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.2991636Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.2991859Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2992056Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2992247Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2992434Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2992622Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2992808Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2992971Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.2993242Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.2993395Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.2993772Z [2022-11-23 01:17:58,231] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tv/ctvizwoybtr2k5aiygda33o6jktvbpr7v43ujdofpiquajjs4ka4.py
2022-11-23T01:32:37.2994066Z [2022-11-23 01:17:58,231] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 121
2022-11-23T01:32:37.2994305Z [2022-11-23 01:17:59,672] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.2994570Z [2022-11-23 01:17:59,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.2994786Z [2022-11-23 01:17:59,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.2995033Z [2022-11-23 01:17:59,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.2995296Z [2022-11-23 01:17:59,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.2995611Z [2022-11-23 01:17:59,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.2995863Z [2022-11-23 01:17:59,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.2996098Z [2022-11-23 01:17:59,709] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.2996350Z [2022-11-23 01:17:59,710] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.2996596Z [2022-11-23 01:17:59,742] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.2996787Z [2022-11-23 01:17:59,742] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.2996920Z  __compiled_fn_123 <eval_with_key>.792 opcode, name, target, args, kwargs
2022-11-23T01:32:37.2997011Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.2997097Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.2997308Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.2997409Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.2997417Z 
2022-11-23T01:32:37.2997694Z [2022-11-23 01:17:59,743] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2997787Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.2997879Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2997971Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.2998062Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.2998128Z               8 RETURN_VALUE
2022-11-23T01:32:37.2998133Z 
2022-11-23T01:32:37.2998195Z  
2022-11-23T01:32:37.2998472Z [2022-11-23 01:17:59,743] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.2998580Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_123)
2022-11-23T01:32:37.2998671Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.2998762Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.2998842Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.2998917Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.2999010Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.2999085Z              12 RETURN_VALUE
2022-11-23T01:32:37.2999089Z 
2022-11-23T01:32:37.2999150Z  
2022-11-23T01:32:37.2999331Z [2022-11-23 01:17:59,744] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.2999400Z  - 
2022-11-23T01:32:37.2999517Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.2999622Z             {
2022-11-23T01:32:37.2999763Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.2999949Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.3000068Z                 'obj_weakref': None
2022-11-23T01:32:37.3000288Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3000354Z             }
2022-11-23T01:32:37.3000419Z             
2022-11-23T01:32:37.3000523Z  - 
2022-11-23T01:32:37.3000636Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3000700Z             {
2022-11-23T01:32:37.3000842Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3000947Z                 'code': None,
2022-11-23T01:32:37.3001151Z                 'obj_weakref': <weakref at 0x7f7106793590; to 'Tensor' at 0x7f7106949650>
2022-11-23T01:32:37.3001396Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3001461Z             }
2022-11-23T01:32:37.3001512Z             
2022-11-23T01:32:37.3001578Z  - 
2022-11-23T01:32:37.3001697Z             local 'model' NN_MODULE
2022-11-23T01:32:37.3001760Z             {
2022-11-23T01:32:37.3001892Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3002059Z                 'code': ['___check_obj_id(model, 140123426365712)'],
2022-11-23T01:32:37.3002274Z                 'obj_weakref': <weakref at 0x7f710676cb90; to 'Sequential' at 0x7f71070da110>
2022-11-23T01:32:37.3002491Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.3002555Z             }
2022-11-23T01:32:37.3002619Z             
2022-11-23T01:32:37.3002687Z  - 
2022-11-23T01:32:37.3002812Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3002875Z             {
2022-11-23T01:32:37.3003012Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3003218Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3003338Z                 'obj_weakref': None
2022-11-23T01:32:37.3003553Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3003616Z             }
2022-11-23T01:32:37.3003677Z             
2022-11-23T01:32:37.3003745Z  - 
2022-11-23T01:32:37.3003889Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.3003939Z             {
2022-11-23T01:32:37.3004059Z                 'guard_types': None,
2022-11-23T01:32:37.3004165Z                 'code': None,
2022-11-23T01:32:37.3004280Z                 'obj_weakref': None
2022-11-23T01:32:37.3004400Z                 'guarded_class': None
2022-11-23T01:32:37.3004463Z             }
2022-11-23T01:32:37.3004512Z             
2022-11-23T01:32:37.3004579Z  - 
2022-11-23T01:32:37.3004722Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.3004785Z             {
2022-11-23T01:32:37.3004905Z                 'guard_types': None,
2022-11-23T01:32:37.3005009Z                 'code': None,
2022-11-23T01:32:37.3005123Z                 'obj_weakref': None
2022-11-23T01:32:37.3005230Z                 'guarded_class': None
2022-11-23T01:32:37.3005292Z             }
2022-11-23T01:32:37.3005353Z             
2022-11-23T01:32:37.3005613Z [2022-11-23 01:17:59,797] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 122
2022-11-23T01:32:37.3005983Z [2022-11-23 01:18:02,338] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xt/cxtc4jirnnneqqfcfbn4lzecx5ijzljxidbkyu3h2sb4vp63bgp6.py
2022-11-23T01:32:37.3006243Z [2022-11-23 01:18:02,338] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 122
2022-11-23T01:32:37.3006476Z [2022-11-23 01:18:06,503] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3006745Z [2022-11-23 01:18:06,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3006976Z [2022-11-23 01:18:06,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3007218Z [2022-11-23 01:18:06,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.3007490Z [2022-11-23 01:18:06,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.3007829Z [2022-11-23 01:18:06,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3008076Z [2022-11-23 01:18:06,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.3008307Z [2022-11-23 01:18:06,544] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3008558Z [2022-11-23 01:18:06,546] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3008808Z [2022-11-23 01:18:06,580] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3008994Z [2022-11-23 01:18:06,580] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3009124Z  __compiled_fn_124 <eval_with_key>.798 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3009200Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3009299Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.3009401Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.3009498Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.3009504Z 
2022-11-23T01:32:37.3009778Z [2022-11-23 01:18:06,581] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3009870Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3009960Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3010043Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3010133Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3010208Z               8 RETURN_VALUE
2022-11-23T01:32:37.3010213Z 
2022-11-23T01:32:37.3010273Z  
2022-11-23T01:32:37.3010549Z [2022-11-23 01:18:06,581] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3010656Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_124)
2022-11-23T01:32:37.3010748Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3010835Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3010897Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3010985Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.3011076Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.3011152Z              12 RETURN_VALUE
2022-11-23T01:32:37.3011156Z 
2022-11-23T01:32:37.3011219Z  
2022-11-23T01:32:37.3011398Z [2022-11-23 01:18:06,582] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3011468Z  - 
2022-11-23T01:32:37.3011573Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3011637Z             {
2022-11-23T01:32:37.3011779Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3011963Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.3012082Z                 'obj_weakref': None
2022-11-23T01:32:37.3012304Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3012367Z             }
2022-11-23T01:32:37.3012417Z             
2022-11-23T01:32:37.3012484Z  - 
2022-11-23T01:32:37.3012606Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3012670Z             {
2022-11-23T01:32:37.3012811Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3012916Z                 'code': None,
2022-11-23T01:32:37.3013121Z                 'obj_weakref': <weakref at 0x7f71066815f0; to 'Tensor' at 0x7f710699b9b0>
2022-11-23T01:32:37.3013388Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3013451Z             }
2022-11-23T01:32:37.3013513Z             
2022-11-23T01:32:37.3013579Z  - 
2022-11-23T01:32:37.3013697Z             local 'model' NN_MODULE
2022-11-23T01:32:37.3013759Z             {
2022-11-23T01:32:37.3013893Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3014085Z                 'code': ['___check_obj_id(model, 140123426365712)'],
2022-11-23T01:32:37.3014300Z                 'obj_weakref': <weakref at 0x7f710676cb90; to 'Sequential' at 0x7f71070da110>
2022-11-23T01:32:37.3014535Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.3014601Z             }
2022-11-23T01:32:37.3014663Z             
2022-11-23T01:32:37.3014731Z  - 
2022-11-23T01:32:37.3014851Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3014903Z             {
2022-11-23T01:32:37.3015038Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3015254Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3015370Z                 'obj_weakref': None
2022-11-23T01:32:37.3015588Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3015655Z             }
2022-11-23T01:32:37.3015716Z             
2022-11-23T01:32:37.3015773Z  - 
2022-11-23T01:32:37.3015917Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.3015979Z             {
2022-11-23T01:32:37.3016097Z                 'guard_types': None,
2022-11-23T01:32:37.3016204Z                 'code': None,
2022-11-23T01:32:37.3016319Z                 'obj_weakref': None
2022-11-23T01:32:37.3016440Z                 'guarded_class': None
2022-11-23T01:32:37.3016489Z             }
2022-11-23T01:32:37.3016551Z             
2022-11-23T01:32:37.3016622Z  - 
2022-11-23T01:32:37.3016763Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.3016826Z             {
2022-11-23T01:32:37.3016944Z                 'guard_types': None,
2022-11-23T01:32:37.3017051Z                 'code': None,
2022-11-23T01:32:37.3017154Z                 'obj_weakref': None
2022-11-23T01:32:37.3017273Z                 'guarded_class': None
2022-11-23T01:32:37.3017335Z             }
2022-11-23T01:32:37.3017398Z             
2022-11-23T01:32:37.3017659Z [2022-11-23 01:18:06,637] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 123
2022-11-23T01:32:37.3017664Z 
2022-11-23T01:32:37.3017669Z 
2022-11-23T01:32:37.3017761Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3017831Z import torch
2022-11-23T01:32:37.3017887Z import random
2022-11-23T01:32:37.3018000Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3018120Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3018125Z 
2022-11-23T01:32:37.3018205Z aten = torch.ops.aten
2022-11-23T01:32:37.3018338Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3018429Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3018434Z 
2022-11-23T01:32:37.3018438Z 
2022-11-23T01:32:37.3018570Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3018775Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3018879Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.3018984Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3019087Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.3019187Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.3019288Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.3019348Z {
2022-11-23T01:32:37.3019444Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3019493Z     {
2022-11-23T01:32:37.3019598Z         #pragma omp for 
2022-11-23T01:32:37.3019680Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.3019743Z         {
2022-11-23T01:32:37.3019829Z             for(long i1=0; i1<9304; i1+=1)
2022-11-23T01:32:37.3019892Z             {
2022-11-23T01:32:37.3020047Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (148877*i0));
2022-11-23T01:32:37.3020172Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.3020309Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.3020433Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.3020553Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.3020686Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3020891Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.3020978Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3021067Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.3021166Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.3021288Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.3021373Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3021460Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3021551Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3021641Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3021748Z                 tmp14.store(in_out_ptr0 + (16*i1) + (148877*i0));
2022-11-23T01:32:37.3021813Z             }
2022-11-23T01:32:37.3021891Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.3021982Z             for(long i1=148864; i1<148877; i1+=1)
2022-11-23T01:32:37.3022046Z             {
2022-11-23T01:32:37.3022149Z                 auto tmp0 = in_out_ptr0[i1 + (148877*i0)];
2022-11-23T01:32:37.3022233Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.3022320Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.3022407Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.3022480Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.3022608Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3022761Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.3022846Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3022942Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.3023023Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.3023121Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.3023192Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3023278Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3023367Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3023455Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3023552Z                 in_out_ptr0[i1 + (148877*i0)] = tmp14;
2022-11-23T01:32:37.3023617Z             }
2022-11-23T01:32:37.3023681Z         }
2022-11-23T01:32:37.3023729Z     }
2022-11-23T01:32:37.3023793Z }
2022-11-23T01:32:37.3023870Z ''')
2022-11-23T01:32:37.3023875Z 
2022-11-23T01:32:37.3023879Z 
2022-11-23T01:32:37.3023969Z async_compile.wait(globals())
2022-11-23T01:32:37.3024040Z del async_compile
2022-11-23T01:32:37.3024045Z 
2022-11-23T01:32:37.3024114Z def call(args):
2022-11-23T01:32:37.3024234Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.3024293Z     args.clear()
2022-11-23T01:32:37.3024497Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2022-11-23T01:32:37.3024625Z     assert_size_stride(buf0, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1))
2022-11-23T01:32:37.3024694Z     del arg0_1
2022-11-23T01:32:37.3024760Z     del arg1_1
2022-11-23T01:32:37.3024827Z     del arg7_1
2022-11-23T01:32:37.3024958Z     buf1 = as_strided(buf0, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1)); del buf0  # reuse
2022-11-23T01:32:37.3025219Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.3025272Z     del arg2_1
2022-11-23T01:32:37.3025338Z     del arg3_1
2022-11-23T01:32:37.3025404Z     del arg4_1
2022-11-23T01:32:37.3025470Z     del arg5_1
2022-11-23T01:32:37.3025542Z     return (buf1, )
2022-11-23T01:32:37.3025575Z 
2022-11-23T01:32:37.3025580Z 
2022-11-23T01:32:37.3025655Z if __name__ == "__main__":
2022-11-23T01:32:37.3025769Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3025879Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3026107Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3026307Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3026504Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3026696Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3026885Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3027072Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3027250Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3027473Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3027627Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.3027633Z 
2022-11-23T01:32:37.3027637Z 
2022-11-23T01:32:37.3027731Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3027799Z import torch
2022-11-23T01:32:37.3027867Z import random
2022-11-23T01:32:37.3027981Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3028102Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3028107Z 
2022-11-23T01:32:37.3028185Z aten = torch.ops.aten
2022-11-23T01:32:37.3028316Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3028395Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3028400Z 
2022-11-23T01:32:37.3028404Z 
2022-11-23T01:32:37.3028536Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3028742Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3028860Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3028961Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.3029022Z {
2022-11-23T01:32:37.3029120Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3029168Z     {
2022-11-23T01:32:37.3029245Z         #pragma omp for 
2022-11-23T01:32:37.3029329Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:37.3029393Z         {
2022-11-23T01:32:37.3029474Z             #pragma GCC ivdep
2022-11-23T01:32:37.3029563Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:32:37.3029627Z             {
2022-11-23T01:32:37.3029679Z                 {
2022-11-23T01:32:37.3029746Z                     {
2022-11-23T01:32:37.3029852Z                         auto tmp0 = in_ptr0[i0 + (12*i1)];
2022-11-23T01:32:37.3029951Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:32:37.3030021Z                     }
2022-11-23T01:32:37.3030086Z                 }
2022-11-23T01:32:37.3030150Z             }
2022-11-23T01:32:37.3030199Z         }
2022-11-23T01:32:37.3030260Z     }
2022-11-23T01:32:37.3030320Z }
2022-11-23T01:32:37.3030398Z ''')
2022-11-23T01:32:37.3030404Z 
2022-11-23T01:32:37.3030407Z 
2022-11-23T01:32:37.3030540Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.3030745Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3030891Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.3030983Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3031088Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.3031189Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.3031294Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.3031355Z {
2022-11-23T01:32:37.3031490Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3031554Z     {
2022-11-23T01:32:37.3031618Z         #pragma omp for 
2022-11-23T01:32:37.3031697Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.3031761Z         {
2022-11-23T01:32:37.3031848Z             for(long i1=0; i1<9304; i1+=1)
2022-11-23T01:32:37.3031915Z             {
2022-11-23T01:32:37.3032065Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (148877*i0));
2022-11-23T01:32:37.3032191Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.3032317Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.3032428Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.3032548Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.3032680Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3032887Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.3032975Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3033063Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.3033163Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.3033297Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.3033370Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3033459Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3033552Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3033642Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3033751Z                 tmp14.store(in_out_ptr0 + (16*i1) + (148877*i0));
2022-11-23T01:32:37.3033816Z             }
2022-11-23T01:32:37.3033907Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.3033984Z             for(long i1=148864; i1<148877; i1+=1)
2022-11-23T01:32:37.3034048Z             {
2022-11-23T01:32:37.3034152Z                 auto tmp0 = in_out_ptr0[i1 + (148877*i0)];
2022-11-23T01:32:37.3034237Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.3034322Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.3034408Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.3034494Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.3034608Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3034764Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.3034847Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3034949Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.3035029Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.3035128Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.3035213Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3035286Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3035375Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3035467Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3035562Z                 in_out_ptr0[i1 + (148877*i0)] = tmp14;
2022-11-23T01:32:37.3035625Z             }
2022-11-23T01:32:37.3035688Z         }
2022-11-23T01:32:37.3035750Z     }
2022-11-23T01:32:37.3035797Z }
2022-11-23T01:32:37.3035875Z ''')
2022-11-23T01:32:37.3035879Z 
2022-11-23T01:32:37.3035883Z 
2022-11-23T01:32:37.3035973Z async_compile.wait(globals())
2022-11-23T01:32:37.3036044Z del async_compile
2022-11-23T01:32:37.3036049Z 
2022-11-23T01:32:37.3036121Z def call(args):
2022-11-23T01:32:37.3036271Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.3036340Z     args.clear()
2022-11-23T01:32:37.3036568Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3036701Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.3036767Z     del arg7_1
2022-11-23T01:32:37.3036937Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2022-11-23T01:32:37.3037054Z     assert_size_stride(buf1, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1))
2022-11-23T01:32:37.3037241Z     del arg0_1
2022-11-23T01:32:37.3037309Z     del arg1_1
2022-11-23T01:32:37.3037375Z     del buf0
2022-11-23T01:32:37.3037490Z     buf2 = as_strided(buf1, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1)); del buf1  # reuse
2022-11-23T01:32:37.3037703Z     kernel_cpp_1(c_void_p(buf2.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.3037774Z     del arg2_1
2022-11-23T01:32:37.3037841Z     del arg3_1
2022-11-23T01:32:37.3037907Z     del arg4_1
2022-11-23T01:32:37.3037973Z     del arg5_1
2022-11-23T01:32:37.3038046Z     return (buf2, )
2022-11-23T01:32:37.3038051Z 
2022-11-23T01:32:37.3038055Z 
2022-11-23T01:32:37.3038119Z if __name__ == "__main__":
2022-11-23T01:32:37.3038237Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3038360Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3038584Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3038782Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3038975Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3039163Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3039357Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3039535Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3039712Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3039945Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3040102Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.3040469Z [2022-11-23 01:18:06,684] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/w5/cw53r53zpjbbol5fisnyrp2qgdqqyqj7h34qm2suolqnxs43beey.py
2022-11-23T01:32:37.3040733Z [2022-11-23 01:18:06,684] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 123
2022-11-23T01:32:37.3040968Z [2022-11-23 01:18:10,708] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3041237Z [2022-11-23 01:18:10,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3041453Z [2022-11-23 01:18:10,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3041682Z [2022-11-23 01:18:10,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.3041957Z [2022-11-23 01:18:10,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.3042271Z [2022-11-23 01:18:10,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3042513Z [2022-11-23 01:18:10,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.3042744Z [2022-11-23 01:18:10,745] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3043057Z [2022-11-23 01:18:10,746] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3043305Z [2022-11-23 01:18:10,777] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3043491Z [2022-11-23 01:18:10,778] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3043658Z  __compiled_fn_125 <eval_with_key>.804 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3043738Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3043838Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.3043940Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.3044040Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.3044045Z 
2022-11-23T01:32:37.3044322Z [2022-11-23 01:18:10,778] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3044418Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3044510Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3044605Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3044681Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3044757Z               8 RETURN_VALUE
2022-11-23T01:32:37.3044762Z 
2022-11-23T01:32:37.3044823Z  
2022-11-23T01:32:37.3045097Z [2022-11-23 01:18:10,778] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3045202Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_125)
2022-11-23T01:32:37.3045290Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3045378Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3045453Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3045528Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.3045619Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.3045697Z              12 RETURN_VALUE
2022-11-23T01:32:37.3045702Z 
2022-11-23T01:32:37.3045764Z  
2022-11-23T01:32:37.3045945Z [2022-11-23 01:18:10,779] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3046016Z  - 
2022-11-23T01:32:37.3046136Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3046187Z             {
2022-11-23T01:32:37.3046326Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3046512Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.3046631Z                 'obj_weakref': None
2022-11-23T01:32:37.3046853Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3046917Z             }
2022-11-23T01:32:37.3046980Z             
2022-11-23T01:32:37.3047035Z  - 
2022-11-23T01:32:37.3047157Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3047220Z             {
2022-11-23T01:32:37.3047361Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3047469Z                 'code': None,
2022-11-23T01:32:37.3047673Z                 'obj_weakref': <weakref at 0x7f71066814d0; to 'Tensor' at 0x7f71070cb2f0>
2022-11-23T01:32:37.3047920Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3047971Z             }
2022-11-23T01:32:37.3048033Z             
2022-11-23T01:32:37.3048101Z  - 
2022-11-23T01:32:37.3048221Z             local 'model' NN_MODULE
2022-11-23T01:32:37.3048284Z             {
2022-11-23T01:32:37.3048417Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3048585Z                 'code': ['___check_obj_id(model, 140123720240656)'],
2022-11-23T01:32:37.3048786Z                 'obj_weakref': <weakref at 0x7f71c25f3a70; to 'Sequential' at 0x7f711891ce10>
2022-11-23T01:32:37.3049018Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.3049082Z             }
2022-11-23T01:32:37.3049177Z             
2022-11-23T01:32:37.3049247Z  - 
2022-11-23T01:32:37.3049368Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3049430Z             {
2022-11-23T01:32:37.3049553Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3049767Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3049882Z                 'obj_weakref': None
2022-11-23T01:32:37.3050125Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3050188Z             }
2022-11-23T01:32:37.3050251Z             
2022-11-23T01:32:37.3050318Z  - 
2022-11-23T01:32:37.3050451Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.3050513Z             {
2022-11-23T01:32:37.3050633Z                 'guard_types': None,
2022-11-23T01:32:37.3050738Z                 'code': None,
2022-11-23T01:32:37.3050856Z                 'obj_weakref': None
2022-11-23T01:32:37.3050976Z                 'guarded_class': None
2022-11-23T01:32:37.3051038Z             }
2022-11-23T01:32:37.3051088Z             
2022-11-23T01:32:37.3051154Z  - 
2022-11-23T01:32:37.3051298Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.3051359Z             {
2022-11-23T01:32:37.3051479Z                 'guard_types': None,
2022-11-23T01:32:37.3051584Z                 'code': None,
2022-11-23T01:32:37.3051687Z                 'obj_weakref': None
2022-11-23T01:32:37.3051810Z                 'guarded_class': None
2022-11-23T01:32:37.3051871Z             }
2022-11-23T01:32:37.3051932Z             
2022-11-23T01:32:37.3052191Z [2022-11-23 01:18:10,833] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 124
2022-11-23T01:32:37.3052556Z [2022-11-23 01:18:13,395] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ql/cql25dxiustigdxwdgwbqa6dnsog6ezy43qxvglm53k57s52fyww.py
2022-11-23T01:32:37.3052818Z [2022-11-23 01:18:13,396] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 124
2022-11-23T01:32:37.3053056Z [2022-11-23 01:18:14,707] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3053310Z [2022-11-23 01:18:14,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3053523Z [2022-11-23 01:18:14,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3053767Z [2022-11-23 01:18:14,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.3054041Z [2022-11-23 01:18:14,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.3054353Z [2022-11-23 01:18:14,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3054602Z [2022-11-23 01:18:14,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.3054836Z [2022-11-23 01:18:14,746] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3055089Z [2022-11-23 01:18:14,748] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3055336Z [2022-11-23 01:18:14,780] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3055524Z [2022-11-23 01:18:14,780] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3055643Z  __compiled_fn_126 <eval_with_key>.810 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3055732Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3055835Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.3055937Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.3056034Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.3056040Z 
2022-11-23T01:32:37.3056345Z [2022-11-23 01:18:14,781] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3056441Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3056519Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3056610Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3056700Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3056774Z               8 RETURN_VALUE
2022-11-23T01:32:37.3056806Z 
2022-11-23T01:32:37.3056868Z  
2022-11-23T01:32:37.3057145Z [2022-11-23 01:18:14,781] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3057252Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_126)
2022-11-23T01:32:37.3057340Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3057417Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3057492Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3057583Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.3057674Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.3057751Z              12 RETURN_VALUE
2022-11-23T01:32:37.3057756Z 
2022-11-23T01:32:37.3057819Z  
2022-11-23T01:32:37.3058002Z [2022-11-23 01:18:14,782] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3058058Z  - 
2022-11-23T01:32:37.3058176Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3058242Z             {
2022-11-23T01:32:37.3058386Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3058571Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.3058689Z                 'obj_weakref': None
2022-11-23T01:32:37.3058909Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3058961Z             }
2022-11-23T01:32:37.3059024Z             
2022-11-23T01:32:37.3059094Z  - 
2022-11-23T01:32:37.3059216Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3059283Z             {
2022-11-23T01:32:37.3059426Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3059531Z                 'code': None,
2022-11-23T01:32:37.3059723Z                 'obj_weakref': <weakref at 0x7f70f2956530; to 'Tensor' at 0x7f71067071d0>
2022-11-23T01:32:37.3059971Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3060038Z             }
2022-11-23T01:32:37.3060101Z             
2022-11-23T01:32:37.3060169Z  - 
2022-11-23T01:32:37.3060288Z             local 'model' NN_MODULE
2022-11-23T01:32:37.3060350Z             {
2022-11-23T01:32:37.3060470Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3060638Z                 'code': ['___check_obj_id(model, 140123720240656)'],
2022-11-23T01:32:37.3060856Z                 'obj_weakref': <weakref at 0x7f71c25f3a70; to 'Sequential' at 0x7f711891ce10>
2022-11-23T01:32:37.3061089Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.3061151Z             }
2022-11-23T01:32:37.3061214Z             
2022-11-23T01:32:37.3061284Z  - 
2022-11-23T01:32:37.3061393Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3061455Z             {
2022-11-23T01:32:37.3061590Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3061807Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3061924Z                 'obj_weakref': None
2022-11-23T01:32:37.3062142Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3062204Z             }
2022-11-23T01:32:37.3062266Z             
2022-11-23T01:32:37.3062321Z  - 
2022-11-23T01:32:37.3062466Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.3062528Z             {
2022-11-23T01:32:37.3062646Z                 'guard_types': None,
2022-11-23T01:32:37.3062787Z                 'code': None,
2022-11-23T01:32:37.3062904Z                 'obj_weakref': None
2022-11-23T01:32:37.3063012Z                 'guarded_class': None
2022-11-23T01:32:37.3063074Z             }
2022-11-23T01:32:37.3063135Z             
2022-11-23T01:32:37.3063203Z  - 
2022-11-23T01:32:37.3063344Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.3063407Z             {
2022-11-23T01:32:37.3063524Z                 'guard_types': None,
2022-11-23T01:32:37.3063672Z                 'code': None,
2022-11-23T01:32:37.3063790Z                 'obj_weakref': None
2022-11-23T01:32:37.3063910Z                 'guarded_class': None
2022-11-23T01:32:37.3063975Z             }
2022-11-23T01:32:37.3064039Z             
2022-11-23T01:32:37.3064298Z [2022-11-23 01:18:14,836] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 125
2022-11-23T01:32:37.3064303Z 
2022-11-23T01:32:37.3064307Z 
2022-11-23T01:32:37.3064401Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3064536Z import torch
2022-11-23T01:32:37.3064609Z import random
2022-11-23T01:32:37.3064725Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3064851Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3064856Z 
2022-11-23T01:32:37.3064935Z aten = torch.ops.aten
2022-11-23T01:32:37.3065069Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3065161Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3065168Z 
2022-11-23T01:32:37.3065172Z 
2022-11-23T01:32:37.3065306Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3065498Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3065614Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.3065720Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3065825Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.3065931Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.3066033Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.3066094Z {
2022-11-23T01:32:37.3066192Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3066240Z     {
2022-11-23T01:32:37.3066318Z         #pragma omp for 
2022-11-23T01:32:37.3066401Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.3066465Z         {
2022-11-23T01:32:37.3066556Z             for(long i1=0; i1<8290; i1+=1)
2022-11-23T01:32:37.3066619Z             {
2022-11-23T01:32:37.3066773Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (132651*i0));
2022-11-23T01:32:37.3066887Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.3067008Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.3067132Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.3067256Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.3067387Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3067593Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.3067682Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3067769Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.3067855Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.3067990Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.3068077Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3068166Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3068257Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3068348Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3068459Z                 tmp14.store(in_out_ptr0 + (16*i1) + (132651*i0));
2022-11-23T01:32:37.3068510Z             }
2022-11-23T01:32:37.3068654Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.3068744Z             for(long i1=132640; i1<132651; i1+=1)
2022-11-23T01:32:37.3068810Z             {
2022-11-23T01:32:37.3068915Z                 auto tmp0 = in_out_ptr0[i1 + (132651*i0)];
2022-11-23T01:32:37.3069001Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.3069090Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.3069164Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.3069276Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.3069404Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3069559Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.3069645Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3069741Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.3069824Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.3069910Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.3069998Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3070087Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3070178Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3070269Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3070366Z                 in_out_ptr0[i1 + (132651*i0)] = tmp14;
2022-11-23T01:32:37.3070431Z             }
2022-11-23T01:32:37.3070481Z         }
2022-11-23T01:32:37.3070545Z     }
2022-11-23T01:32:37.3070606Z }
2022-11-23T01:32:37.3070685Z ''')
2022-11-23T01:32:37.3070691Z 
2022-11-23T01:32:37.3070695Z 
2022-11-23T01:32:37.3070785Z async_compile.wait(globals())
2022-11-23T01:32:37.3070858Z del async_compile
2022-11-23T01:32:37.3070863Z 
2022-11-23T01:32:37.3070934Z def call(args):
2022-11-23T01:32:37.3071053Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.3071111Z     args.clear()
2022-11-23T01:32:37.3071253Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2022-11-23T01:32:37.3071371Z     assert_size_stride(buf0, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1))
2022-11-23T01:32:37.3071442Z     del arg0_1
2022-11-23T01:32:37.3071508Z     del arg1_1
2022-11-23T01:32:37.3071572Z     del arg7_1
2022-11-23T01:32:37.3071699Z     buf1 = as_strided(buf0, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1)); del buf0  # reuse
2022-11-23T01:32:37.3071902Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.3071969Z     del arg2_1
2022-11-23T01:32:37.3072034Z     del arg3_1
2022-11-23T01:32:37.3072099Z     del arg4_1
2022-11-23T01:32:37.3072164Z     del arg5_1
2022-11-23T01:32:37.3072234Z     return (buf1, )
2022-11-23T01:32:37.3072239Z 
2022-11-23T01:32:37.3072243Z 
2022-11-23T01:32:37.3072318Z if __name__ == "__main__":
2022-11-23T01:32:37.3072431Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3072542Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3072760Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3072955Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3073146Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3073335Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3073523Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3073707Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3073873Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3074105Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3074257Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.3074303Z 
2022-11-23T01:32:37.3074307Z 
2022-11-23T01:32:37.3074404Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3074474Z import torch
2022-11-23T01:32:37.3074546Z import random
2022-11-23T01:32:37.3074661Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3074780Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3074785Z 
2022-11-23T01:32:37.3074862Z aten = torch.ops.aten
2022-11-23T01:32:37.3075011Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3075103Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3075108Z 
2022-11-23T01:32:37.3075112Z 
2022-11-23T01:32:37.3075244Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3075446Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3075562Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3075666Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.3075728Z {
2022-11-23T01:32:37.3075811Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3075873Z     {
2022-11-23T01:32:37.3075964Z         #pragma omp for  collapse(2)
2022-11-23T01:32:37.3076045Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T01:32:37.3076110Z         {
2022-11-23T01:32:37.3076203Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:32:37.3076268Z             {
2022-11-23T01:32:37.3076322Z                 {
2022-11-23T01:32:37.3076392Z                     {
2022-11-23T01:32:37.3076495Z                         auto tmp0 = in_ptr0[i0 + (3*i1)];
2022-11-23T01:32:37.3076591Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:32:37.3076657Z                     }
2022-11-23T01:32:37.3076720Z                 }
2022-11-23T01:32:37.3076783Z             }
2022-11-23T01:32:37.3076832Z         }
2022-11-23T01:32:37.3076892Z     }
2022-11-23T01:32:37.3076950Z }
2022-11-23T01:32:37.3077028Z ''')
2022-11-23T01:32:37.3077034Z 
2022-11-23T01:32:37.3077038Z 
2022-11-23T01:32:37.3077292Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.3077498Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3077616Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.3077706Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3077811Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.3077913Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.3078014Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.3078076Z {
2022-11-23T01:32:37.3078173Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3078236Z     {
2022-11-23T01:32:37.3078299Z         #pragma omp for 
2022-11-23T01:32:37.3078382Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.3078445Z         {
2022-11-23T01:32:37.3078534Z             for(long i1=0; i1<8290; i1+=1)
2022-11-23T01:32:37.3078601Z             {
2022-11-23T01:32:37.3078754Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (132651*i0));
2022-11-23T01:32:37.3078881Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.3079007Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.3079118Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.3079241Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.3079372Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3079578Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.3079666Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3079751Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.3079852Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.3080043Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.3080116Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3080206Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3080298Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3080388Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3080500Z                 tmp14.store(in_out_ptr0 + (16*i1) + (132651*i0));
2022-11-23T01:32:37.3080569Z             }
2022-11-23T01:32:37.3080695Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.3080774Z             for(long i1=132640; i1<132651; i1+=1)
2022-11-23T01:32:37.3080839Z             {
2022-11-23T01:32:37.3080944Z                 auto tmp0 = in_out_ptr0[i1 + (132651*i0)];
2022-11-23T01:32:37.3081032Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.3081119Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.3081206Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.3081294Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.3081410Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3081563Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.3081648Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3081743Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.3081824Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.3081923Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.3082010Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3082082Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3082173Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3082260Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3082355Z                 in_out_ptr0[i1 + (132651*i0)] = tmp14;
2022-11-23T01:32:37.3082418Z             }
2022-11-23T01:32:37.3082479Z         }
2022-11-23T01:32:37.3082541Z     }
2022-11-23T01:32:37.3082588Z }
2022-11-23T01:32:37.3082669Z ''')
2022-11-23T01:32:37.3082674Z 
2022-11-23T01:32:37.3082678Z 
2022-11-23T01:32:37.3082767Z async_compile.wait(globals())
2022-11-23T01:32:37.3082838Z del async_compile
2022-11-23T01:32:37.3082843Z 
2022-11-23T01:32:37.3082912Z def call(args):
2022-11-23T01:32:37.3083030Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.3083101Z     args.clear()
2022-11-23T01:32:37.3083343Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3083465Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.3083533Z     del arg7_1
2022-11-23T01:32:37.3083673Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2022-11-23T01:32:37.3083790Z     assert_size_stride(buf1, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1))
2022-11-23T01:32:37.3083858Z     del arg0_1
2022-11-23T01:32:37.3083924Z     del arg1_1
2022-11-23T01:32:37.3083990Z     del buf0
2022-11-23T01:32:37.3084104Z     buf2 = as_strided(buf1, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1)); del buf1  # reuse
2022-11-23T01:32:37.3084314Z     kernel_cpp_1(c_void_p(buf2.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.3084382Z     del arg2_1
2022-11-23T01:32:37.3084447Z     del arg3_1
2022-11-23T01:32:37.3084512Z     del arg4_1
2022-11-23T01:32:37.3084579Z     del arg5_1
2022-11-23T01:32:37.3084649Z     return (buf2, )
2022-11-23T01:32:37.3084654Z 
2022-11-23T01:32:37.3084659Z 
2022-11-23T01:32:37.3084734Z if __name__ == "__main__":
2022-11-23T01:32:37.3084836Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3084961Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3085181Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3085407Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3085597Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3085787Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3085973Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3086145Z     arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3086352Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3086581Z     arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3086739Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.3087106Z [2022-11-23 01:18:14,881] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ir/cirjaraa6fa54aga3wom35kicsb465lygyx4n4pdcoop5ljlpoo6.py
2022-11-23T01:32:37.3087372Z [2022-11-23 01:18:14,881] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 125
2022-11-23T01:32:37.3087609Z [2022-11-23 01:18:16,851] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3087877Z [2022-11-23 01:18:16,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3088093Z [2022-11-23 01:18:16,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3088338Z [2022-11-23 01:18:16,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.3088602Z [2022-11-23 01:18:16,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.3088915Z [2022-11-23 01:18:16,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3089165Z [2022-11-23 01:18:16,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.3089398Z [2022-11-23 01:18:16,887] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3089649Z [2022-11-23 01:18:16,889] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3089897Z [2022-11-23 01:18:16,919] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3090082Z [2022-11-23 01:18:16,920] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3090212Z  __compiled_fn_127 <eval_with_key>.816 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3090300Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3090387Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.3090488Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.3090586Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.3090593Z 
2022-11-23T01:32:37.3090869Z [2022-11-23 01:18:16,920] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3090963Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3091055Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3091147Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3091225Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3091301Z               8 RETURN_VALUE
2022-11-23T01:32:37.3091305Z 
2022-11-23T01:32:37.3091365Z  
2022-11-23T01:32:37.3091640Z [2022-11-23 01:18:16,920] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3091748Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_127)
2022-11-23T01:32:37.3091836Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3091924Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3092029Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3092105Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.3092194Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.3092269Z              12 RETURN_VALUE
2022-11-23T01:32:37.3092273Z 
2022-11-23T01:32:37.3092334Z  
2022-11-23T01:32:37.3092519Z [2022-11-23 01:18:16,921] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3092587Z  - 
2022-11-23T01:32:37.3092733Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3092786Z             {
2022-11-23T01:32:37.3092926Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3093109Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.3093228Z                 'obj_weakref': None
2022-11-23T01:32:37.3093449Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3093512Z             }
2022-11-23T01:32:37.3093578Z             
2022-11-23T01:32:37.3093633Z  - 
2022-11-23T01:32:37.3093755Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3093818Z             {
2022-11-23T01:32:37.3093958Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3094063Z                 'code': None,
2022-11-23T01:32:37.3094271Z                 'obj_weakref': <weakref at 0x7f70f2c63dd0; to 'Tensor' at 0x7f71070cb6b0>
2022-11-23T01:32:37.3094519Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3094569Z             }
2022-11-23T01:32:37.3094632Z             
2022-11-23T01:32:37.3094700Z  - 
2022-11-23T01:32:37.3094819Z             local 'model' NN_MODULE
2022-11-23T01:32:37.3094882Z             {
2022-11-23T01:32:37.3095015Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3095182Z                 'code': ['___check_obj_id(model, 140123423475792)'],
2022-11-23T01:32:37.3095384Z                 'obj_weakref': <weakref at 0x7f71069a6b30; to 'Sequential' at 0x7f7106e18850>
2022-11-23T01:32:37.3095621Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.3095683Z             }
2022-11-23T01:32:37.3095745Z             
2022-11-23T01:32:37.3095813Z  - 
2022-11-23T01:32:37.3095933Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3095995Z             {
2022-11-23T01:32:37.3096118Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3096339Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3096457Z                 'obj_weakref': None
2022-11-23T01:32:37.3096673Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3096735Z             }
2022-11-23T01:32:37.3096796Z             
2022-11-23T01:32:37.3096864Z  - 
2022-11-23T01:32:37.3096997Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.3097062Z             {
2022-11-23T01:32:37.3097179Z                 'guard_types': None,
2022-11-23T01:32:37.3097285Z                 'code': None,
2022-11-23T01:32:37.3097404Z                 'obj_weakref': None
2022-11-23T01:32:37.3097523Z                 'guarded_class': None
2022-11-23T01:32:37.3097585Z             }
2022-11-23T01:32:37.3097634Z             
2022-11-23T01:32:37.3097701Z  - 
2022-11-23T01:32:37.3097844Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.3097908Z             {
2022-11-23T01:32:37.3098024Z                 'guard_types': None,
2022-11-23T01:32:37.3098129Z                 'code': None,
2022-11-23T01:32:37.3098243Z                 'obj_weakref': None
2022-11-23T01:32:37.3098350Z                 'guarded_class': None
2022-11-23T01:32:37.3098411Z             }
2022-11-23T01:32:37.3098472Z             
2022-11-23T01:32:37.3098732Z [2022-11-23 01:18:16,974] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 126
2022-11-23T01:32:37.3099127Z [2022-11-23 01:18:19,528] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/x2/cx2ojg43md6qbt75brgvrvoyjsi45tmh2cbuyoklharprgixrtsz.py
2022-11-23T01:32:37.3099389Z [2022-11-23 01:18:19,528] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 126
2022-11-23T01:32:37.3099627Z [2022-11-23 01:18:24,306] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3099922Z [2022-11-23 01:18:24,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3100125Z [2022-11-23 01:18:24,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3100368Z [2022-11-23 01:18:24,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.3100642Z [2022-11-23 01:18:24,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.3100957Z [2022-11-23 01:18:24,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3101206Z [2022-11-23 01:18:24,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.3101440Z [2022-11-23 01:18:24,344] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3101694Z [2022-11-23 01:18:24,347] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3101943Z [2022-11-23 01:18:24,378] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3102131Z [2022-11-23 01:18:24,379] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3102249Z  __compiled_fn_128 <eval_with_key>.822 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3102339Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3102440Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.3102545Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.3102648Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.3102653Z 
2022-11-23T01:32:37.3102928Z [2022-11-23 01:18:24,379] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3103023Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3103117Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3103196Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3103286Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3103364Z               8 RETURN_VALUE
2022-11-23T01:32:37.3103369Z 
2022-11-23T01:32:37.3103431Z  
2022-11-23T01:32:37.3103707Z [2022-11-23 01:18:24,379] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3103816Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_128)
2022-11-23T01:32:37.3103910Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3103986Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3104063Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3104153Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.3104244Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.3104320Z              12 RETURN_VALUE
2022-11-23T01:32:37.3104325Z 
2022-11-23T01:32:37.3104386Z  
2022-11-23T01:32:37.3104662Z [2022-11-23 01:18:24,381] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3104719Z  - 
2022-11-23T01:32:37.3104837Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3104901Z             {
2022-11-23T01:32:37.3105043Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3105229Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.3105348Z                 'obj_weakref': None
2022-11-23T01:32:37.3105572Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3105675Z             }
2022-11-23T01:32:37.3105726Z             
2022-11-23T01:32:37.3105796Z  - 
2022-11-23T01:32:37.3105919Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3105984Z             {
2022-11-23T01:32:37.3106126Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3106233Z                 'code': None,
2022-11-23T01:32:37.3106458Z                 'obj_weakref': <weakref at 0x7f71c1345350; to 'Tensor' at 0x7f710650c710>
2022-11-23T01:32:37.3106708Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3106773Z             }
2022-11-23T01:32:37.3106836Z             
2022-11-23T01:32:37.3106902Z  - 
2022-11-23T01:32:37.3107023Z             local 'model' NN_MODULE
2022-11-23T01:32:37.3107085Z             {
2022-11-23T01:32:37.3107206Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3107377Z                 'code': ['___check_obj_id(model, 140123423475792)'],
2022-11-23T01:32:37.3107592Z                 'obj_weakref': <weakref at 0x7f71069a6b30; to 'Sequential' at 0x7f7106e18850>
2022-11-23T01:32:37.3107824Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.3107888Z             }
2022-11-23T01:32:37.3107952Z             
2022-11-23T01:32:37.3108021Z  - 
2022-11-23T01:32:37.3108146Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3108196Z             {
2022-11-23T01:32:37.3108334Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3108550Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3108668Z                 'obj_weakref': None
2022-11-23T01:32:37.3108882Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3108944Z             }
2022-11-23T01:32:37.3109008Z             
2022-11-23T01:32:37.3109063Z  - 
2022-11-23T01:32:37.3109206Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.3109269Z             {
2022-11-23T01:32:37.3109387Z                 'guard_types': None,
2022-11-23T01:32:37.3109496Z                 'code': None,
2022-11-23T01:32:37.3109612Z                 'obj_weakref': None
2022-11-23T01:32:37.3109720Z                 'guarded_class': None
2022-11-23T01:32:37.3109781Z             }
2022-11-23T01:32:37.3109845Z             
2022-11-23T01:32:37.3109911Z  - 
2022-11-23T01:32:37.3110057Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.3110118Z             {
2022-11-23T01:32:37.3110234Z                 'guard_types': None,
2022-11-23T01:32:37.3110325Z                 'code': None,
2022-11-23T01:32:37.3110440Z                 'obj_weakref': None
2022-11-23T01:32:37.3110558Z                 'guarded_class': None
2022-11-23T01:32:37.3110620Z             }
2022-11-23T01:32:37.3110682Z             
2022-11-23T01:32:37.3110945Z [2022-11-23 01:18:24,435] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 127
2022-11-23T01:32:37.3110950Z 
2022-11-23T01:32:37.3110955Z 
2022-11-23T01:32:37.3111047Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3111115Z import torch
2022-11-23T01:32:37.3111172Z import random
2022-11-23T01:32:37.3111285Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3111404Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3111412Z 
2022-11-23T01:32:37.3111488Z aten = torch.ops.aten
2022-11-23T01:32:37.3111619Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3111711Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3111716Z 
2022-11-23T01:32:37.3111720Z 
2022-11-23T01:32:37.3111853Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3112056Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3112158Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.3112306Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3112408Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.3112510Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.3112608Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.3112668Z {
2022-11-23T01:32:37.3112765Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3112850Z     {
2022-11-23T01:32:37.3112927Z         #pragma omp for 
2022-11-23T01:32:37.3113013Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.3113075Z         {
2022-11-23T01:32:37.3113162Z             for(long i1=0; i1<8290; i1+=1)
2022-11-23T01:32:37.3113225Z             {
2022-11-23T01:32:37.3113374Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (132651*i0));
2022-11-23T01:32:37.3113486Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.3113608Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.3113731Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.3113851Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.3113981Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3114186Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.3114276Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3114362Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.3114447Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.3114580Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.3114666Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3114753Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3114843Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3114934Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3115047Z                 tmp14.store(in_out_ptr0 + (16*i1) + (132651*i0));
2022-11-23T01:32:37.3115099Z             }
2022-11-23T01:32:37.3115194Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.3115284Z             for(long i1=132640; i1<132651; i1+=1)
2022-11-23T01:32:37.3115347Z             {
2022-11-23T01:32:37.3115453Z                 auto tmp0 = in_out_ptr0[i1 + (132651*i0)];
2022-11-23T01:32:37.3115540Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.3115624Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.3115698Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.3115784Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.3115912Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3116067Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.3116151Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3116249Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.3116330Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.3116428Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.3116500Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3116585Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3116673Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3116762Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3116861Z                 in_out_ptr0[i1 + (132651*i0)] = tmp14;
2022-11-23T01:32:37.3116924Z             }
2022-11-23T01:32:37.3116987Z         }
2022-11-23T01:32:37.3117037Z     }
2022-11-23T01:32:37.3117096Z }
2022-11-23T01:32:37.3117300Z ''')
2022-11-23T01:32:37.3117305Z 
2022-11-23T01:32:37.3117310Z 
2022-11-23T01:32:37.3117401Z async_compile.wait(globals())
2022-11-23T01:32:37.3117474Z del async_compile
2022-11-23T01:32:37.3117480Z 
2022-11-23T01:32:37.3117551Z def call(args):
2022-11-23T01:32:37.3117672Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.3117783Z     args.clear()
2022-11-23T01:32:37.3117927Z     buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2022-11-23T01:32:37.3118048Z     assert_size_stride(buf0, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1))
2022-11-23T01:32:37.3118117Z     del arg0_1
2022-11-23T01:32:37.3118184Z     del arg1_1
2022-11-23T01:32:37.3118250Z     del arg7_1
2022-11-23T01:32:37.3118415Z     buf1 = as_strided(buf0, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1)); del buf0  # reuse
2022-11-23T01:32:37.3118616Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.3118684Z     del arg2_1
2022-11-23T01:32:37.3118751Z     del arg3_1
2022-11-23T01:32:37.3118818Z     del arg4_1
2022-11-23T01:32:37.3118884Z     del arg5_1
2022-11-23T01:32:37.3118955Z     return (buf1, )
2022-11-23T01:32:37.3118962Z 
2022-11-23T01:32:37.3118966Z 
2022-11-23T01:32:37.3119042Z if __name__ == "__main__":
2022-11-23T01:32:37.3119156Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3119266Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3119487Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3119684Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3119882Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3120072Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3120260Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3120446Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3120622Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3120846Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3121002Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.3121008Z 
2022-11-23T01:32:37.3121012Z 
2022-11-23T01:32:37.3121109Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3121179Z import torch
2022-11-23T01:32:37.3121250Z import random
2022-11-23T01:32:37.3121364Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3121483Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3121488Z 
2022-11-23T01:32:37.3121571Z aten = torch.ops.aten
2022-11-23T01:32:37.3121690Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3121781Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3121786Z 
2022-11-23T01:32:37.3121790Z 
2022-11-23T01:32:37.3121923Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3122128Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3122248Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3122347Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.3122407Z {
2022-11-23T01:32:37.3122505Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3122553Z     {
2022-11-23T01:32:37.3122632Z         #pragma omp for 
2022-11-23T01:32:37.3122715Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:37.3122777Z         {
2022-11-23T01:32:37.3122857Z             #pragma GCC ivdep
2022-11-23T01:32:37.3122946Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:32:37.3122996Z             {
2022-11-23T01:32:37.3123060Z                 {
2022-11-23T01:32:37.3123126Z                     {
2022-11-23T01:32:37.3123227Z                         auto tmp0 = in_ptr0[i0 + (12*i1)];
2022-11-23T01:32:37.3123325Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:32:37.3123421Z                     }
2022-11-23T01:32:37.3123484Z                 }
2022-11-23T01:32:37.3123534Z             }
2022-11-23T01:32:37.3123596Z         }
2022-11-23T01:32:37.3123656Z     }
2022-11-23T01:32:37.3123715Z }
2022-11-23T01:32:37.3123795Z ''')
2022-11-23T01:32:37.3123800Z 
2022-11-23T01:32:37.3123804Z 
2022-11-23T01:32:37.3123937Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.3124171Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3124288Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.3124378Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3124480Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.3124580Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.3124681Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.3124741Z {
2022-11-23T01:32:37.3124838Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3124898Z     {
2022-11-23T01:32:37.3124961Z         #pragma omp for 
2022-11-23T01:32:37.3125046Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.3125108Z         {
2022-11-23T01:32:37.3125195Z             for(long i1=0; i1<8290; i1+=1)
2022-11-23T01:32:37.3125258Z             {
2022-11-23T01:32:37.3125407Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (132651*i0));
2022-11-23T01:32:37.3125533Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.3125642Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.3125765Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.3125886Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.3126015Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3126221Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.3126311Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3126397Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.3126496Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.3126616Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.3126702Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3126792Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3126882Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3126974Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3127081Z                 tmp14.store(in_out_ptr0 + (16*i1) + (132651*i0));
2022-11-23T01:32:37.3127145Z             }
2022-11-23T01:32:37.3127224Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.3127315Z             for(long i1=132640; i1<132651; i1+=1)
2022-11-23T01:32:37.3127378Z             {
2022-11-23T01:32:37.3127483Z                 auto tmp0 = in_out_ptr0[i1 + (132651*i0)];
2022-11-23T01:32:37.3127567Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.3127651Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.3127737Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.3127812Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.3127937Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3128092Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.3128179Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3128274Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.3128355Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.3128455Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.3128526Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3128612Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3128700Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3128820Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3128916Z                 in_out_ptr0[i1 + (132651*i0)] = tmp14;
2022-11-23T01:32:37.3128979Z             }
2022-11-23T01:32:37.3129040Z         }
2022-11-23T01:32:37.3129090Z     }
2022-11-23T01:32:37.3129148Z }
2022-11-23T01:32:37.3129225Z ''')
2022-11-23T01:32:37.3129230Z 
2022-11-23T01:32:37.3129235Z 
2022-11-23T01:32:37.3129324Z async_compile.wait(globals())
2022-11-23T01:32:37.3129397Z del async_compile
2022-11-23T01:32:37.3129436Z 
2022-11-23T01:32:37.3129507Z def call(args):
2022-11-23T01:32:37.3129626Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args
2022-11-23T01:32:37.3129697Z     args.clear()
2022-11-23T01:32:37.3129925Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3130061Z     kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.3130128Z     del arg7_1
2022-11-23T01:32:37.3130271Z     buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2022-11-23T01:32:37.3130388Z     assert_size_stride(buf1, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1))
2022-11-23T01:32:37.3130456Z     del arg0_1
2022-11-23T01:32:37.3130522Z     del arg1_1
2022-11-23T01:32:37.3130573Z     del buf0
2022-11-23T01:32:37.3130702Z     buf2 = as_strided(buf1, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1)); del buf1  # reuse
2022-11-23T01:32:37.3130913Z     kernel_cpp_1(c_void_p(buf2.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.3130980Z     del arg2_1
2022-11-23T01:32:37.3131051Z     del arg3_1
2022-11-23T01:32:37.3131118Z     del arg4_1
2022-11-23T01:32:37.3131184Z     del arg5_1
2022-11-23T01:32:37.3131242Z     return (buf2, )
2022-11-23T01:32:37.3131261Z 
2022-11-23T01:32:37.3131265Z 
2022-11-23T01:32:37.3131328Z if __name__ == "__main__":
2022-11-23T01:32:37.3131445Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3131570Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3131794Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3131990Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3132183Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3132371Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3132562Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3132740Z     arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3132920Z     arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3133153Z     arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3133314Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1]))
2022-11-23T01:32:37.3133678Z [2022-11-23 01:18:24,481] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a2/ca2bl7gj3b5bi32fymbm33cb6jlroswd6mjjcguwkup7q322ists.py
2022-11-23T01:32:37.3133946Z [2022-11-23 01:18:24,481] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 127
2022-11-23T01:32:37.3134185Z [2022-11-23 01:18:28,554] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3134455Z [2022-11-23 01:18:28,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3134673Z [2022-11-23 01:18:28,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3134903Z [2022-11-23 01:18:28,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.3135213Z [2022-11-23 01:18:28,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.3135525Z [2022-11-23 01:18:28,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3135774Z [2022-11-23 01:18:28,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.3136035Z [2022-11-23 01:18:28,591] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3136292Z [2022-11-23 01:18:28,592] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3136538Z [2022-11-23 01:18:28,624] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3136726Z [2022-11-23 01:18:28,624] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3136860Z  __compiled_fn_129 <eval_with_key>.828 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3136938Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3137038Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.3137144Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.3137244Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.3137249Z 
2022-11-23T01:32:37.3137529Z [2022-11-23 01:18:28,625] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3137625Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3137717Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3137797Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3137886Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3137963Z               8 RETURN_VALUE
2022-11-23T01:32:37.3137968Z 
2022-11-23T01:32:37.3138029Z  
2022-11-23T01:32:37.3138305Z [2022-11-23 01:18:28,625] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3138415Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_129)
2022-11-23T01:32:37.3138507Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3138599Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3138663Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3138752Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.3138845Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.3138920Z              12 RETURN_VALUE
2022-11-23T01:32:37.3138925Z 
2022-11-23T01:32:37.3138985Z  
2022-11-23T01:32:37.3139166Z [2022-11-23 01:18:28,626] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3139235Z  - 
2022-11-23T01:32:37.3139341Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3139406Z             {
2022-11-23T01:32:37.3139547Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3139733Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.3139856Z                 'obj_weakref': None
2022-11-23T01:32:37.3140078Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3140143Z             }
2022-11-23T01:32:37.3140193Z             
2022-11-23T01:32:37.3140261Z  - 
2022-11-23T01:32:37.3140384Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3140447Z             {
2022-11-23T01:32:37.3140590Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3140702Z                 'code': None,
2022-11-23T01:32:37.3140912Z                 'obj_weakref': <weakref at 0x7f70f2770cb0; to 'Tensor' at 0x7f70f28b2d10>
2022-11-23T01:32:37.3141147Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3141210Z             }
2022-11-23T01:32:37.3141274Z             
2022-11-23T01:32:37.3141341Z  - 
2022-11-23T01:32:37.3141489Z             local 'model' NN_MODULE
2022-11-23T01:32:37.3141553Z             {
2022-11-23T01:32:37.3141687Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3141843Z                 'code': ['___check_obj_id(model, 140123423137616)'],
2022-11-23T01:32:37.3142059Z                 'obj_weakref': <weakref at 0x7f7106526e30; to 'Sequential' at 0x7f7106dc5f50>
2022-11-23T01:32:37.3142289Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.3142381Z             }
2022-11-23T01:32:37.3142444Z             
2022-11-23T01:32:37.3142511Z  - 
2022-11-23T01:32:37.3142633Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3142683Z             {
2022-11-23T01:32:37.3142817Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3143032Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3143149Z                 'obj_weakref': None
2022-11-23T01:32:37.3143369Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3143433Z             }
2022-11-23T01:32:37.3143495Z             
2022-11-23T01:32:37.3143549Z  - 
2022-11-23T01:32:37.3143698Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.3143759Z             {
2022-11-23T01:32:37.3143878Z                 'guard_types': None,
2022-11-23T01:32:37.3143983Z                 'code': None,
2022-11-23T01:32:37.3144100Z                 'obj_weakref': None
2022-11-23T01:32:37.3144220Z                 'guarded_class': None
2022-11-23T01:32:37.3144269Z             }
2022-11-23T01:32:37.3144331Z             
2022-11-23T01:32:37.3144399Z  - 
2022-11-23T01:32:37.3144630Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.3144696Z             {
2022-11-23T01:32:37.3144820Z                 'guard_types': None,
2022-11-23T01:32:37.3144926Z                 'code': None,
2022-11-23T01:32:37.3145029Z                 'obj_weakref': None
2022-11-23T01:32:37.3145152Z                 'guarded_class': None
2022-11-23T01:32:37.3145216Z             }
2022-11-23T01:32:37.3145280Z             
2022-11-23T01:32:37.3145541Z [2022-11-23 01:18:28,681] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 128
2022-11-23T01:32:37.3145914Z [2022-11-23 01:18:28,715] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qv/cqvjxmmtynkhhjd6ecmoji4hgqap3kca2gwxu63pn6sps7rqdfis.py
2022-11-23T01:32:37.3146181Z [2022-11-23 01:18:28,715] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 128
2022-11-23T01:32:37.3146416Z [2022-11-23 01:18:29,996] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3146668Z [2022-11-23 01:18:29,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3146882Z [2022-11-23 01:18:29,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3147128Z [2022-11-23 01:18:29,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.3147402Z [2022-11-23 01:18:29,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.3147715Z [2022-11-23 01:18:29,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3147961Z [2022-11-23 01:18:30,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.3148196Z [2022-11-23 01:18:30,031] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3148446Z [2022-11-23 01:18:30,032] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3148691Z [2022-11-23 01:18:30,065] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3148901Z [2022-11-23 01:18:30,065] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3149031Z  __compiled_fn_130 <eval_with_key>.834 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3149120Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3149221Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.3149321Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.3149419Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.3149452Z 
2022-11-23T01:32:37.3149727Z [2022-11-23 01:18:30,066] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3149821Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3149899Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3149990Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3150080Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3150157Z               8 RETURN_VALUE
2022-11-23T01:32:37.3150165Z 
2022-11-23T01:32:37.3150228Z  
2022-11-23T01:32:37.3150502Z [2022-11-23 01:18:30,066] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3150610Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_130)
2022-11-23T01:32:37.3150701Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3150777Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3150857Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3150946Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.3151035Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.3151110Z              12 RETURN_VALUE
2022-11-23T01:32:37.3151116Z 
2022-11-23T01:32:37.3151175Z  
2022-11-23T01:32:37.3151356Z [2022-11-23 01:18:30,067] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3151413Z  - 
2022-11-23T01:32:37.3151530Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3151595Z             {
2022-11-23T01:32:37.3151733Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3151918Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.3152035Z                 'obj_weakref': None
2022-11-23T01:32:37.3152259Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3152310Z             }
2022-11-23T01:32:37.3152372Z             
2022-11-23T01:32:37.3152441Z  - 
2022-11-23T01:32:37.3152564Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3152628Z             {
2022-11-23T01:32:37.3152770Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3152876Z                 'code': None,
2022-11-23T01:32:37.3153069Z                 'obj_weakref': <weakref at 0x7f7106c2e290; to 'Tensor' at 0x7f70f2d72e90>
2022-11-23T01:32:37.3153320Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3153385Z             }
2022-11-23T01:32:37.3153448Z             
2022-11-23T01:32:37.3153517Z  - 
2022-11-23T01:32:37.3153636Z             local 'model' NN_MODULE
2022-11-23T01:32:37.3153698Z             {
2022-11-23T01:32:37.3153819Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3153988Z                 'code': ['___check_obj_id(model, 140123423137616)'],
2022-11-23T01:32:37.3154205Z                 'obj_weakref': <weakref at 0x7f7106526e30; to 'Sequential' at 0x7f7106dc5f50>
2022-11-23T01:32:37.3154438Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.3154500Z             }
2022-11-23T01:32:37.3154563Z             
2022-11-23T01:32:37.3154630Z  - 
2022-11-23T01:32:37.3154739Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3154801Z             {
2022-11-23T01:32:37.3154935Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3155153Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3155316Z                 'obj_weakref': None
2022-11-23T01:32:37.3155533Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3155598Z             }
2022-11-23T01:32:37.3155648Z             
2022-11-23T01:32:37.3155716Z  - 
2022-11-23T01:32:37.3155860Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.3155924Z             {
2022-11-23T01:32:37.3156072Z                 'guard_types': None,
2022-11-23T01:32:37.3156177Z                 'code': None,
2022-11-23T01:32:37.3156292Z                 'obj_weakref': None
2022-11-23T01:32:37.3156399Z                 'guarded_class': None
2022-11-23T01:32:37.3156460Z             }
2022-11-23T01:32:37.3156522Z             
2022-11-23T01:32:37.3156591Z  - 
2022-11-23T01:32:37.3156733Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.3156795Z             {
2022-11-23T01:32:37.3156898Z                 'guard_types': None,
2022-11-23T01:32:37.3157004Z                 'code': None,
2022-11-23T01:32:37.3157235Z                 'obj_weakref': None
2022-11-23T01:32:37.3157417Z                 'guarded_class': None
2022-11-23T01:32:37.3157510Z             }
2022-11-23T01:32:37.3157574Z             
2022-11-23T01:32:37.3157841Z [2022-11-23 01:18:30,118] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 129
2022-11-23T01:32:37.3157846Z 
2022-11-23T01:32:37.3157852Z 
2022-11-23T01:32:37.3157950Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3158005Z import torch
2022-11-23T01:32:37.3158075Z import random
2022-11-23T01:32:37.3158190Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3158312Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3158317Z 
2022-11-23T01:32:37.3158396Z aten = torch.ops.aten
2022-11-23T01:32:37.3158531Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3158623Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3158630Z 
2022-11-23T01:32:37.3158634Z 
2022-11-23T01:32:37.3158768Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3158958Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3159075Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.3159183Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3159293Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.3159394Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.3159494Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.3159554Z {
2022-11-23T01:32:37.3159638Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3159700Z     {
2022-11-23T01:32:37.3159777Z         #pragma omp for 
2022-11-23T01:32:37.3159860Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.3159924Z         {
2022-11-23T01:32:37.3160015Z             for(long i1=0; i1<10398; i1+=1)
2022-11-23T01:32:37.3160077Z             {
2022-11-23T01:32:37.3160217Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.3160341Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.3160462Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.3160588Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.3160708Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.3160838Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3161043Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.3161129Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3161202Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.3161301Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.3161534Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.3161621Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3161710Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3161801Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3161893Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3162001Z                 tmp14.store(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.3162087Z             }
2022-11-23T01:32:37.3162181Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.3162274Z             for(long i1=166368; i1<166375; i1+=1)
2022-11-23T01:32:37.3162340Z             {
2022-11-23T01:32:37.3162443Z                 auto tmp0 = in_out_ptr0[i1 + (166375*i0)];
2022-11-23T01:32:37.3162531Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.3162618Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.3162693Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.3162786Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.3162915Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3163072Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.3163161Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3163257Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.3163340Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.3163429Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.3163513Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3163599Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3163688Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3163775Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3163871Z                 in_out_ptr0[i1 + (166375*i0)] = tmp14;
2022-11-23T01:32:37.3163935Z             }
2022-11-23T01:32:37.3163987Z         }
2022-11-23T01:32:37.3164048Z     }
2022-11-23T01:32:37.3164110Z }
2022-11-23T01:32:37.3164185Z ''')
2022-11-23T01:32:37.3164191Z 
2022-11-23T01:32:37.3164195Z 
2022-11-23T01:32:37.3164283Z async_compile.wait(globals())
2022-11-23T01:32:37.3164355Z del async_compile
2022-11-23T01:32:37.3164360Z 
2022-11-23T01:32:37.3164429Z def call(args):
2022-11-23T01:32:37.3164528Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.3164599Z     args.clear()
2022-11-23T01:32:37.3164745Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T01:32:37.3164860Z     assert_size_stride(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2022-11-23T01:32:37.3164927Z     del arg0_1
2022-11-23T01:32:37.3164994Z     del arg6_1
2022-11-23T01:32:37.3165121Z     buf1 = as_strided(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1)); del buf0  # reuse
2022-11-23T01:32:37.3165332Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.3165388Z     del arg1_1
2022-11-23T01:32:37.3165456Z     del arg2_1
2022-11-23T01:32:37.3165523Z     del arg3_1
2022-11-23T01:32:37.3165588Z     del arg4_1
2022-11-23T01:32:37.3165658Z     return (buf1, )
2022-11-23T01:32:37.3165663Z 
2022-11-23T01:32:37.3165667Z 
2022-11-23T01:32:37.3165745Z if __name__ == "__main__":
2022-11-23T01:32:37.3165858Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3165970Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3166185Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3166377Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3166567Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3166757Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3166972Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3167151Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3167383Z     arg6_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3167519Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.3167537Z 
2022-11-23T01:32:37.3167541Z 
2022-11-23T01:32:37.3167650Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3167720Z import torch
2022-11-23T01:32:37.3167791Z import random
2022-11-23T01:32:37.3167908Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3168029Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3168033Z 
2022-11-23T01:32:37.3168110Z aten = torch.ops.aten
2022-11-23T01:32:37.3168241Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3168320Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3168326Z 
2022-11-23T01:32:37.3168343Z 
2022-11-23T01:32:37.3168463Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3168666Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3168786Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3168885Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.3168946Z {
2022-11-23T01:32:37.3169045Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3169106Z     {
2022-11-23T01:32:37.3169183Z         #pragma omp for  collapse(2)
2022-11-23T01:32:37.3169263Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T01:32:37.3169325Z         {
2022-11-23T01:32:37.3169416Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:32:37.3169479Z             {
2022-11-23T01:32:37.3169546Z                 {
2022-11-23T01:32:37.3169599Z                     {
2022-11-23T01:32:37.3169700Z                         auto tmp0 = in_ptr0[i0 + (3*i1)];
2022-11-23T01:32:37.3169801Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:32:37.3169871Z                     }
2022-11-23T01:32:37.3169936Z                 }
2022-11-23T01:32:37.3169999Z             }
2022-11-23T01:32:37.3170062Z         }
2022-11-23T01:32:37.3170110Z     }
2022-11-23T01:32:37.3170170Z }
2022-11-23T01:32:37.3170249Z ''')
2022-11-23T01:32:37.3170255Z 
2022-11-23T01:32:37.3170259Z 
2022-11-23T01:32:37.3170394Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.3170600Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3170716Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.3170821Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3170922Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.3171009Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.3171111Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.3171175Z {
2022-11-23T01:32:37.3171272Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3171334Z     {
2022-11-23T01:32:37.3171411Z         #pragma omp for 
2022-11-23T01:32:37.3171494Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.3171543Z         {
2022-11-23T01:32:37.3171633Z             for(long i1=0; i1<10398; i1+=1)
2022-11-23T01:32:37.3171697Z             {
2022-11-23T01:32:37.3171849Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.3171978Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.3172100Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.3172227Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.3172347Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.3172465Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3172703Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.3172791Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3172877Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.3172978Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.3173112Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.3173226Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3173303Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3173394Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3173485Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3173594Z                 tmp14.store(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.3173660Z             }
2022-11-23T01:32:37.3173753Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.3173847Z             for(long i1=166368; i1<166375; i1+=1)
2022-11-23T01:32:37.3173900Z             {
2022-11-23T01:32:37.3174004Z                 auto tmp0 = in_out_ptr0[i1 + (166375*i0)];
2022-11-23T01:32:37.3174089Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.3174175Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.3174264Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.3174351Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.3174478Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3174622Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.3174709Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3174805Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.3174885Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.3174985Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.3175068Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3175153Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3175246Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3175323Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3175419Z                 in_out_ptr0[i1 + (166375*i0)] = tmp14;
2022-11-23T01:32:37.3175481Z             }
2022-11-23T01:32:37.3175545Z         }
2022-11-23T01:32:37.3175607Z     }
2022-11-23T01:32:37.3175667Z }
2022-11-23T01:32:37.3175731Z ''')
2022-11-23T01:32:37.3175736Z 
2022-11-23T01:32:37.3175753Z 
2022-11-23T01:32:37.3175832Z async_compile.wait(globals())
2022-11-23T01:32:37.3175907Z del async_compile
2022-11-23T01:32:37.3175912Z 
2022-11-23T01:32:37.3175982Z def call(args):
2022-11-23T01:32:37.3176094Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.3176166Z     args.clear()
2022-11-23T01:32:37.3176402Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3176535Z     kernel_cpp_0(c_void_p(arg6_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.3176592Z     del arg6_1
2022-11-23T01:32:37.3176730Z     buf1 = aten.convolution(buf0, arg0_1, None, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T01:32:37.3176844Z     assert_size_stride(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2022-11-23T01:32:37.3176915Z     del arg0_1
2022-11-23T01:32:37.3176979Z     del buf0
2022-11-23T01:32:37.3177104Z     buf2 = as_strided(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1)); del buf1  # reuse
2022-11-23T01:32:37.3177316Z     kernel_cpp_1(c_void_p(buf2.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.3177382Z     del arg1_1
2022-11-23T01:32:37.3177435Z     del arg2_1
2022-11-23T01:32:37.3177500Z     del arg3_1
2022-11-23T01:32:37.3177564Z     del arg4_1
2022-11-23T01:32:37.3177634Z     return (buf2, )
2022-11-23T01:32:37.3177639Z 
2022-11-23T01:32:37.3177643Z 
2022-11-23T01:32:37.3177719Z if __name__ == "__main__":
2022-11-23T01:32:37.3177861Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3177983Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3178187Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3178378Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3178566Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3178779Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3178964Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3179142Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3179369Z     arg6_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3179515Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.3179898Z [2022-11-23 01:18:30,157] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sf/csfxvslvqmtl34aejcwhgnunrwsfdrmlb6rrhjicsdbpkl2meihd.py
2022-11-23T01:32:37.3180153Z [2022-11-23 01:18:30,158] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 129
2022-11-23T01:32:37.3180391Z [2022-11-23 01:18:31,570] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3180656Z [2022-11-23 01:18:31,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3180869Z [2022-11-23 01:18:31,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3181109Z [2022-11-23 01:18:31,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.3181386Z [2022-11-23 01:18:31,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.3181700Z [2022-11-23 01:18:31,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3181946Z [2022-11-23 01:18:31,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.3182181Z [2022-11-23 01:18:31,605] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3182421Z [2022-11-23 01:18:31,607] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3182667Z [2022-11-23 01:18:31,638] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3182854Z [2022-11-23 01:18:31,639] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3182985Z  __compiled_fn_131 <eval_with_key>.840 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3183075Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3183174Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.3183274Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.3183371Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.3183376Z 
2022-11-23T01:32:37.3183640Z [2022-11-23 01:18:31,639] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3183732Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3183824Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3183916Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3184008Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3184084Z               8 RETURN_VALUE
2022-11-23T01:32:37.3184089Z 
2022-11-23T01:32:37.3184150Z  
2022-11-23T01:32:37.3184425Z [2022-11-23 01:18:31,639] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3184639Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_131)
2022-11-23T01:32:37.3184729Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3184820Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3184898Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3184987Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.3185084Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.3185159Z              12 RETURN_VALUE
2022-11-23T01:32:37.3185193Z 
2022-11-23T01:32:37.3185241Z  
2022-11-23T01:32:37.3185430Z [2022-11-23 01:18:31,640] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3185502Z  - 
2022-11-23T01:32:37.3185623Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3185688Z             {
2022-11-23T01:32:37.3185830Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3186020Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.3186126Z                 'obj_weakref': None
2022-11-23T01:32:37.3186350Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3186416Z             }
2022-11-23T01:32:37.3186479Z             
2022-11-23T01:32:37.3186548Z  - 
2022-11-23T01:32:37.3186669Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3186732Z             {
2022-11-23T01:32:37.3186860Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3186966Z                 'code': None,
2022-11-23T01:32:37.3187173Z                 'obj_weakref': <weakref at 0x7f7106c52fb0; to 'Tensor' at 0x7f70f28b2e90>
2022-11-23T01:32:37.3187420Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3187483Z             }
2022-11-23T01:32:37.3187545Z             
2022-11-23T01:32:37.3187613Z  - 
2022-11-23T01:32:37.3187720Z             local 'model' NN_MODULE
2022-11-23T01:32:37.3187782Z             {
2022-11-23T01:32:37.3187918Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3188085Z                 'code': ['___check_obj_id(model, 140123420849104)'],
2022-11-23T01:32:37.3188298Z                 'obj_weakref': <weakref at 0x7f7106c36590; to 'Sequential' at 0x7f7106b973d0>
2022-11-23T01:32:37.3188527Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.3188590Z             }
2022-11-23T01:32:37.3188640Z             
2022-11-23T01:32:37.3188709Z  - 
2022-11-23T01:32:37.3188830Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3188892Z             {
2022-11-23T01:32:37.3189025Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3189243Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3189360Z                 'obj_weakref': None
2022-11-23T01:32:37.3189563Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3189627Z             }
2022-11-23T01:32:37.3189688Z             
2022-11-23T01:32:37.3189754Z  - 
2022-11-23T01:32:37.3189898Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.3189961Z             {
2022-11-23T01:32:37.3190082Z                 'guard_types': None,
2022-11-23T01:32:37.3190175Z                 'code': None,
2022-11-23T01:32:37.3190290Z                 'obj_weakref': None
2022-11-23T01:32:37.3190414Z                 'guarded_class': None
2022-11-23T01:32:37.3190478Z             }
2022-11-23T01:32:37.3190540Z             
2022-11-23T01:32:37.3190608Z  - 
2022-11-23T01:32:37.3190751Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.3190800Z             {
2022-11-23T01:32:37.3190917Z                 'guard_types': None,
2022-11-23T01:32:37.3191022Z                 'code': None,
2022-11-23T01:32:37.3191137Z                 'obj_weakref': None
2022-11-23T01:32:37.3191255Z                 'guarded_class': None
2022-11-23T01:32:37.3191346Z             }
2022-11-23T01:32:37.3191408Z             
2022-11-23T01:32:37.3191655Z [2022-11-23 01:18:31,692] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 130
2022-11-23T01:32:37.3192028Z [2022-11-23 01:18:31,725] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uh/cuhwaosrwnsixggljrjewb4btadh7cv6amt2qkcmxw7bixuak5ot.py
2022-11-23T01:32:37.3192314Z [2022-11-23 01:18:31,725] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 130
2022-11-23T01:32:37.3192549Z [2022-11-23 01:18:36,116] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3192818Z [2022-11-23 01:18:36,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3193033Z [2022-11-23 01:18:36,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3193274Z [2022-11-23 01:18:36,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.3193550Z [2022-11-23 01:18:36,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.3193867Z [2022-11-23 01:18:36,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3194103Z [2022-11-23 01:18:36,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.3194335Z [2022-11-23 01:18:36,151] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3194583Z [2022-11-23 01:18:36,153] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3194829Z [2022-11-23 01:18:36,183] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3195016Z [2022-11-23 01:18:36,183] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3195149Z  __compiled_fn_132 <eval_with_key>.846 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3195239Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3195338Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.3195427Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.3195526Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.3195531Z 
2022-11-23T01:32:37.3195809Z [2022-11-23 01:18:36,184] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3195902Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3195992Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3196085Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3196175Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3196250Z               8 RETURN_VALUE
2022-11-23T01:32:37.3196255Z 
2022-11-23T01:32:37.3196303Z  
2022-11-23T01:32:37.3196581Z [2022-11-23 01:18:36,184] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3196687Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_132)
2022-11-23T01:32:37.3196775Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3196864Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3196943Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3197031Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.3197250Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.3197314Z              12 RETURN_VALUE
2022-11-23T01:32:37.3197320Z 
2022-11-23T01:32:37.3197381Z  
2022-11-23T01:32:37.3197564Z [2022-11-23 01:18:36,185] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3197635Z  - 
2022-11-23T01:32:37.3197753Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3197819Z             {
2022-11-23T01:32:37.3197960Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3198192Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.3198357Z                 'obj_weakref': None
2022-11-23T01:32:37.3198580Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3198646Z             }
2022-11-23T01:32:37.3198712Z             
2022-11-23T01:32:37.3198783Z  - 
2022-11-23T01:32:37.3198907Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3198991Z             {
2022-11-23T01:32:37.3199135Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3199241Z                 'code': None,
2022-11-23T01:32:37.3199453Z                 'obj_weakref': <weakref at 0x7f70f2ddc7d0; to 'Tensor' at 0x7f7106c36ef0>
2022-11-23T01:32:37.3199701Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3199764Z             }
2022-11-23T01:32:37.3199826Z             
2022-11-23T01:32:37.3199883Z  - 
2022-11-23T01:32:37.3200001Z             local 'model' NN_MODULE
2022-11-23T01:32:37.3200065Z             {
2022-11-23T01:32:37.3200196Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3200365Z                 'code': ['___check_obj_id(model, 140123420849104)'],
2022-11-23T01:32:37.3200581Z                 'obj_weakref': <weakref at 0x7f7106c36590; to 'Sequential' at 0x7f7106b973d0>
2022-11-23T01:32:37.3200813Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.3200864Z             }
2022-11-23T01:32:37.3200927Z             
2022-11-23T01:32:37.3200994Z  - 
2022-11-23T01:32:37.3201114Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3201178Z             {
2022-11-23T01:32:37.3201317Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3201535Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3201639Z                 'obj_weakref': None
2022-11-23T01:32:37.3201858Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3201922Z             }
2022-11-23T01:32:37.3201986Z             
2022-11-23T01:32:37.3202056Z  - 
2022-11-23T01:32:37.3202202Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.3202265Z             {
2022-11-23T01:32:37.3202370Z                 'guard_types': None,
2022-11-23T01:32:37.3202478Z                 'code': None,
2022-11-23T01:32:37.3202594Z                 'obj_weakref': None
2022-11-23T01:32:37.3202713Z                 'guarded_class': None
2022-11-23T01:32:37.3202776Z             }
2022-11-23T01:32:37.3202837Z             
2022-11-23T01:32:37.3202892Z  - 
2022-11-23T01:32:37.3203035Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.3203097Z             {
2022-11-23T01:32:37.3203214Z                 'guard_types': None,
2022-11-23T01:32:37.3203319Z                 'code': None,
2022-11-23T01:32:37.3203438Z                 'obj_weakref': None
2022-11-23T01:32:37.3203559Z                 'guarded_class': None
2022-11-23T01:32:37.3203609Z             }
2022-11-23T01:32:37.3203671Z             
2022-11-23T01:32:37.3203927Z [2022-11-23 01:18:36,237] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 131
2022-11-23T01:32:37.3203933Z 
2022-11-23T01:32:37.3203938Z 
2022-11-23T01:32:37.3204029Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3204099Z import torch
2022-11-23T01:32:37.3204168Z import random
2022-11-23T01:32:37.3204281Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3204402Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3204407Z 
2022-11-23T01:32:37.3204472Z aten = torch.ops.aten
2022-11-23T01:32:37.3204605Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3204696Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3204701Z 
2022-11-23T01:32:37.3204705Z 
2022-11-23T01:32:37.3204870Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3205075Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3205190Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.3205296Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3205398Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.3205512Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.3205613Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.3205674Z {
2022-11-23T01:32:37.3205771Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3205833Z     {
2022-11-23T01:32:37.3205910Z         #pragma omp for 
2022-11-23T01:32:37.3205993Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.3206043Z         {
2022-11-23T01:32:37.3206132Z             for(long i1=0; i1<10398; i1+=1)
2022-11-23T01:32:37.3206197Z             {
2022-11-23T01:32:37.3206351Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.3206478Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.3206599Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.3206722Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.3206844Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.3206962Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3207169Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.3207259Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3207347Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.3207447Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.3207583Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.3207673Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3207748Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3207839Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3207930Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3208039Z                 tmp14.store(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.3208105Z             }
2022-11-23T01:32:37.3208197Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.3208292Z             for(long i1=166368; i1<166375; i1+=1)
2022-11-23T01:32:37.3208357Z             {
2022-11-23T01:32:37.3208448Z                 auto tmp0 = in_out_ptr0[i1 + (166375*i0)];
2022-11-23T01:32:37.3208534Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.3208619Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.3208708Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.3208796Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.3208922Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3209079Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.3209152Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3209250Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.3209332Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.3209432Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.3209517Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3209606Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3209697Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3209772Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3209869Z                 in_out_ptr0[i1 + (166375*i0)] = tmp14;
2022-11-23T01:32:37.3209933Z             }
2022-11-23T01:32:37.3209999Z         }
2022-11-23T01:32:37.3210061Z     }
2022-11-23T01:32:37.3210122Z }
2022-11-23T01:32:37.3210187Z ''')
2022-11-23T01:32:37.3210205Z 
2022-11-23T01:32:37.3210238Z 
2022-11-23T01:32:37.3210315Z async_compile.wait(globals())
2022-11-23T01:32:37.3210390Z del async_compile
2022-11-23T01:32:37.3210395Z 
2022-11-23T01:32:37.3210464Z def call(args):
2022-11-23T01:32:37.3210575Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.3210649Z     args.clear()
2022-11-23T01:32:37.3210791Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2022-11-23T01:32:37.3210948Z     assert_size_stride(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2022-11-23T01:32:37.3211004Z     del arg0_1
2022-11-23T01:32:37.3216602Z     del arg6_1
2022-11-23T01:32:37.3216754Z     buf1 = as_strided(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1)); del buf0  # reuse
2022-11-23T01:32:37.3216973Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.3217043Z     del arg1_1
2022-11-23T01:32:37.3217117Z     del arg2_1
2022-11-23T01:32:37.3217184Z     del arg3_1
2022-11-23T01:32:37.3217236Z     del arg4_1
2022-11-23T01:32:37.3217310Z     return (buf1, )
2022-11-23T01:32:37.3217316Z 
2022-11-23T01:32:37.3217321Z 
2022-11-23T01:32:37.3217400Z if __name__ == "__main__":
2022-11-23T01:32:37.3217517Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3217644Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3217898Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3218099Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3218294Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3218486Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3218660Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3218842Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3219078Z     arg6_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3219227Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.3219232Z 
2022-11-23T01:32:37.3219236Z 
2022-11-23T01:32:37.3219333Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3219407Z import torch
2022-11-23T01:32:37.3219478Z import random
2022-11-23T01:32:37.3219593Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3219700Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3219705Z 
2022-11-23T01:32:37.3219781Z aten = torch.ops.aten
2022-11-23T01:32:37.3219916Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3220006Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3220011Z 
2022-11-23T01:32:37.3220015Z 
2022-11-23T01:32:37.3220149Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3220354Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3220475Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3220572Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.3220621Z {
2022-11-23T01:32:37.3220721Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3220783Z     {
2022-11-23T01:32:37.3220863Z         #pragma omp for 
2022-11-23T01:32:37.3220945Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:37.3221008Z         {
2022-11-23T01:32:37.3221075Z             #pragma GCC ivdep
2022-11-23T01:32:37.3221163Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:32:37.3221227Z             {
2022-11-23T01:32:37.3221292Z                 {
2022-11-23T01:32:37.3221357Z                     {
2022-11-23T01:32:37.3221459Z                         auto tmp0 = in_ptr0[i0 + (12*i1)];
2022-11-23T01:32:37.3221623Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:32:37.3221677Z                     }
2022-11-23T01:32:37.3221741Z                 }
2022-11-23T01:32:37.3221805Z             }
2022-11-23T01:32:37.3221868Z         }
2022-11-23T01:32:37.3221930Z     }
2022-11-23T01:32:37.3221992Z }
2022-11-23T01:32:37.3222071Z ''')
2022-11-23T01:32:37.3222076Z 
2022-11-23T01:32:37.3222080Z 
2022-11-23T01:32:37.3222201Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.3222440Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3222560Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.3222665Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3222766Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.3222867Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.3222967Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.3223030Z {
2022-11-23T01:32:37.3223114Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3223175Z     {
2022-11-23T01:32:37.3223252Z         #pragma omp for 
2022-11-23T01:32:37.3223334Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.3223397Z         {
2022-11-23T01:32:37.3223485Z             for(long i1=0; i1<10398; i1+=1)
2022-11-23T01:32:37.3223536Z             {
2022-11-23T01:32:37.3223691Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.3223815Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.3223937Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.3224062Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.3224183Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.3224315Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3224640Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.3224730Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3224804Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.3224903Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.3225038Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.3225125Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3225216Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3225308Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3225399Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3225495Z                 tmp14.store(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.3225561Z             }
2022-11-23T01:32:37.3225657Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.3225749Z             for(long i1=166368; i1<166375; i1+=1)
2022-11-23T01:32:37.3225818Z             {
2022-11-23T01:32:37.3225922Z                 auto tmp0 = in_out_ptr0[i1 + (166375*i0)];
2022-11-23T01:32:37.3226007Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.3226080Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.3226169Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.3226256Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.3226385Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3226540Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.3226624Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3226719Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.3226789Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.3226889Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.3226978Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3227063Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3227153Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3227273Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3227368Z                 in_out_ptr0[i1 + (166375*i0)] = tmp14;
2022-11-23T01:32:37.3227418Z             }
2022-11-23T01:32:37.3227482Z         }
2022-11-23T01:32:37.3227544Z     }
2022-11-23T01:32:37.3227603Z }
2022-11-23T01:32:37.3227682Z ''')
2022-11-23T01:32:37.3227687Z 
2022-11-23T01:32:37.3227691Z 
2022-11-23T01:32:37.3227779Z async_compile.wait(globals())
2022-11-23T01:32:37.3227882Z del async_compile
2022-11-23T01:32:37.3227888Z 
2022-11-23T01:32:37.3227962Z def call(args):
2022-11-23T01:32:37.3228063Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.3228133Z     args.clear()
2022-11-23T01:32:37.3228373Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3228505Z     kernel_cpp_0(c_void_p(arg6_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.3228574Z     del arg6_1
2022-11-23T01:32:37.3228716Z     buf1 = aten.convolution(buf0, arg0_1, None, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2022-11-23T01:32:37.3228836Z     assert_size_stride(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2022-11-23T01:32:37.3228892Z     del arg0_1
2022-11-23T01:32:37.3228957Z     del buf0
2022-11-23T01:32:37.3229081Z     buf2 = as_strided(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1)); del buf1  # reuse
2022-11-23T01:32:37.3229293Z     kernel_cpp_1(c_void_p(buf2.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.3229361Z     del arg1_1
2022-11-23T01:32:37.3229425Z     del arg2_1
2022-11-23T01:32:37.3229489Z     del arg3_1
2022-11-23T01:32:37.3229572Z     del arg4_1
2022-11-23T01:32:37.3229643Z     return (buf2, )
2022-11-23T01:32:37.3229648Z 
2022-11-23T01:32:37.3229652Z 
2022-11-23T01:32:37.3229728Z if __name__ == "__main__":
2022-11-23T01:32:37.3229844Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3229967Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3230185Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3230379Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3230570Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3230760Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3230936Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3231113Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3231344Z     arg6_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3231489Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.3231856Z [2022-11-23 01:18:36,277] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/z6/cz67vk5fpijwzmx523kzgyg2stush5ixt5cwbk4r2oy7xib2uxcf.py
2022-11-23T01:32:37.3232123Z [2022-11-23 01:18:36,277] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 131
2022-11-23T01:32:37.3232366Z [2022-11-23 01:18:40,537] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3232635Z [2022-11-23 01:18:40,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3232839Z [2022-11-23 01:18:40,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3233080Z [2022-11-23 01:18:40,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.3233354Z [2022-11-23 01:18:40,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.3233696Z [2022-11-23 01:18:40,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3233943Z [2022-11-23 01:18:40,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.3234173Z [2022-11-23 01:18:40,572] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3234455Z [2022-11-23 01:18:40,573] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3234708Z [2022-11-23 01:18:40,602] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3234895Z [2022-11-23 01:18:40,602] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3235025Z  __compiled_fn_133 <eval_with_key>.852 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3235103Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3235202Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.3235302Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.3235400Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.3235405Z 
2022-11-23T01:32:37.3235680Z [2022-11-23 01:18:40,602] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3235772Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3235864Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3235943Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3236035Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3236111Z               8 RETURN_VALUE
2022-11-23T01:32:37.3236116Z 
2022-11-23T01:32:37.3236176Z  
2022-11-23T01:32:37.3236450Z [2022-11-23 01:18:40,603] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3236559Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_133)
2022-11-23T01:32:37.3236652Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3236740Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3236804Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3236891Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.3236981Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.3237056Z              12 RETURN_VALUE
2022-11-23T01:32:37.3237060Z 
2022-11-23T01:32:37.3237257Z  
2022-11-23T01:32:37.3237442Z [2022-11-23 01:18:40,604] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3237512Z  - 
2022-11-23T01:32:37.3237618Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3237682Z             {
2022-11-23T01:32:37.3237825Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3238011Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.3238132Z                 'obj_weakref': None
2022-11-23T01:32:37.3238358Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3238423Z             }
2022-11-23T01:32:37.3238473Z             
2022-11-23T01:32:37.3238544Z  - 
2022-11-23T01:32:37.3238667Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3238731Z             {
2022-11-23T01:32:37.3238874Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3238981Z                 'code': None,
2022-11-23T01:32:37.3239188Z                 'obj_weakref': <weakref at 0x7f71069ad3b0; to 'Tensor' at 0x7f71067884d0>
2022-11-23T01:32:37.3239425Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3239488Z             }
2022-11-23T01:32:37.3239551Z             
2022-11-23T01:32:37.3239619Z  - 
2022-11-23T01:32:37.3239737Z             local 'model' NN_MODULE
2022-11-23T01:32:37.3239800Z             {
2022-11-23T01:32:37.3239933Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3240149Z                 'code': ['___check_obj_id(model, 140123422584976)'],
2022-11-23T01:32:37.3240366Z                 'obj_weakref': <weakref at 0x7f7106de8170; to 'Sequential' at 0x7f7106d3f090>
2022-11-23T01:32:37.3240600Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.3240665Z             }
2022-11-23T01:32:37.3240729Z             
2022-11-23T01:32:37.3240799Z  - 
2022-11-23T01:32:37.3240964Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3241015Z             {
2022-11-23T01:32:37.3241152Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3241368Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3241491Z                 'obj_weakref': None
2022-11-23T01:32:37.3241705Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3241773Z             }
2022-11-23T01:32:37.3241835Z             
2022-11-23T01:32:37.3241889Z  - 
2022-11-23T01:32:37.3242034Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.3242096Z             {
2022-11-23T01:32:37.3242213Z                 'guard_types': None,
2022-11-23T01:32:37.3242318Z                 'code': None,
2022-11-23T01:32:37.3242434Z                 'obj_weakref': None
2022-11-23T01:32:37.3242552Z                 'guarded_class': None
2022-11-23T01:32:37.3242605Z             }
2022-11-23T01:32:37.3242668Z             
2022-11-23T01:32:37.3242737Z  - 
2022-11-23T01:32:37.3242881Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.3242946Z             {
2022-11-23T01:32:37.3243064Z                 'guard_types': None,
2022-11-23T01:32:37.3243170Z                 'code': None,
2022-11-23T01:32:37.3243272Z                 'obj_weakref': None
2022-11-23T01:32:37.3243391Z                 'guarded_class': None
2022-11-23T01:32:37.3243455Z             }
2022-11-23T01:32:37.3243521Z             
2022-11-23T01:32:37.3243782Z [2022-11-23 01:18:40,657] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 132
2022-11-23T01:32:37.3244160Z [2022-11-23 01:18:40,690] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ox/coxmxxrfrffoghrlivckzjb7fqjeg42nw2bvamlywehzkql4w4s6.py
2022-11-23T01:32:37.3244425Z [2022-11-23 01:18:40,690] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 132
2022-11-23T01:32:37.3244651Z [2022-11-23 01:18:41,959] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3244919Z [2022-11-23 01:18:41,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3245136Z [2022-11-23 01:18:41,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3245378Z [2022-11-23 01:18:41,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.3245656Z [2022-11-23 01:18:41,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.3245969Z [2022-11-23 01:18:41,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3246215Z [2022-11-23 01:18:41,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.3246451Z [2022-11-23 01:18:41,993] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3246704Z [2022-11-23 01:18:41,999] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3246955Z [2022-11-23 01:18:42,028] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3247131Z [2022-11-23 01:18:42,028] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3247297Z  __compiled_fn_134 <eval_with_key>.858 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3247386Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3247488Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.3247591Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.3247692Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.3247698Z 
2022-11-23T01:32:37.3248000Z [2022-11-23 01:18:42,029] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3248096Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3248174Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3248265Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3248357Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3248434Z               8 RETURN_VALUE
2022-11-23T01:32:37.3248439Z 
2022-11-23T01:32:37.3248501Z  
2022-11-23T01:32:37.3248777Z [2022-11-23 01:18:42,029] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3248887Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_134)
2022-11-23T01:32:37.3248965Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3249056Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3249133Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3249221Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.3249314Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.3249389Z              12 RETURN_VALUE
2022-11-23T01:32:37.3249394Z 
2022-11-23T01:32:37.3249454Z  
2022-11-23T01:32:37.3249637Z [2022-11-23 01:18:42,030] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3249696Z  - 
2022-11-23T01:32:37.3249814Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3249879Z             {
2022-11-23T01:32:37.3250018Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3250203Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.3250325Z                 'obj_weakref': None
2022-11-23T01:32:37.3250548Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3250601Z             }
2022-11-23T01:32:37.3250665Z             
2022-11-23T01:32:37.3250734Z  - 
2022-11-23T01:32:37.3250857Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3250920Z             {
2022-11-23T01:32:37.3251064Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3251158Z                 'code': None,
2022-11-23T01:32:37.3251366Z                 'obj_weakref': <weakref at 0x7f70f27705f0; to 'Tensor' at 0x7f7106df08f0>
2022-11-23T01:32:37.3251614Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3251678Z             }
2022-11-23T01:32:37.3251742Z             
2022-11-23T01:32:37.3251810Z  - 
2022-11-23T01:32:37.3251933Z             local 'model' NN_MODULE
2022-11-23T01:32:37.3251994Z             {
2022-11-23T01:32:37.3252117Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3252282Z                 'code': ['___check_obj_id(model, 140123422584976)'],
2022-11-23T01:32:37.3252495Z                 'obj_weakref': <weakref at 0x7f7106de8170; to 'Sequential' at 0x7f7106d3f090>
2022-11-23T01:32:37.3252729Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.3252793Z             }
2022-11-23T01:32:37.3252854Z             
2022-11-23T01:32:37.3252921Z  - 
2022-11-23T01:32:37.3253029Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3253091Z             {
2022-11-23T01:32:37.3253227Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3253441Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3253560Z                 'obj_weakref': None
2022-11-23T01:32:37.3253809Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3253871Z             }
2022-11-23T01:32:37.3253920Z             
2022-11-23T01:32:37.3253988Z  - 
2022-11-23T01:32:37.3254130Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.3254193Z             {
2022-11-23T01:32:37.3254311Z                 'guard_types': None,
2022-11-23T01:32:37.3254415Z                 'code': None,
2022-11-23T01:32:37.3254557Z                 'obj_weakref': None
2022-11-23T01:32:37.3254664Z                 'guarded_class': None
2022-11-23T01:32:37.3254725Z             }
2022-11-23T01:32:37.3254787Z             
2022-11-23T01:32:37.3254854Z  - 
2022-11-23T01:32:37.3254995Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.3255056Z             {
2022-11-23T01:32:37.3255160Z                 'guard_types': None,
2022-11-23T01:32:37.3255262Z                 'code': None,
2022-11-23T01:32:37.3255378Z                 'obj_weakref': None
2022-11-23T01:32:37.3255499Z                 'guarded_class': None
2022-11-23T01:32:37.3255563Z             }
2022-11-23T01:32:37.3255624Z             
2022-11-23T01:32:37.3255884Z [2022-11-23 01:18:42,081] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 133
2022-11-23T01:32:37.3255890Z 
2022-11-23T01:32:37.3255895Z 
2022-11-23T01:32:37.3255986Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3256042Z import torch
2022-11-23T01:32:37.3256112Z import random
2022-11-23T01:32:37.3256227Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3256346Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3256351Z 
2022-11-23T01:32:37.3256429Z aten = torch.ops.aten
2022-11-23T01:32:37.3256562Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3256653Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3256658Z 
2022-11-23T01:32:37.3256662Z 
2022-11-23T01:32:37.3256793Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3256987Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3257104Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.3257207Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3257311Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.3257409Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.3257511Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.3257571Z {
2022-11-23T01:32:37.3257656Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3257716Z     {
2022-11-23T01:32:37.3257793Z         #pragma omp for 
2022-11-23T01:32:37.3257874Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.3257937Z         {
2022-11-23T01:32:37.3258024Z             for(long i1=0; i1<10398; i1+=1)
2022-11-23T01:32:37.3258085Z             {
2022-11-23T01:32:37.3258225Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.3258350Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.3258470Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.3258592Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.3258710Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.3258841Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3259045Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.3259133Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3259206Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.3259304Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.3259436Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.3259555Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3259641Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3259730Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3259821Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3259917Z                 tmp14.store(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.3259983Z             }
2022-11-23T01:32:37.3260073Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.3260207Z             for(long i1=166368; i1<166375; i1+=1)
2022-11-23T01:32:37.3260274Z             {
2022-11-23T01:32:37.3260380Z                 auto tmp0 = in_out_ptr0[i1 + (166375*i0)];
2022-11-23T01:32:37.3260468Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.3260540Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.3260629Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.3260715Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.3260842Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3260997Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.3261082Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3261176Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.3261259Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.3261345Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.3261427Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3261514Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3261605Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3261694Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3261792Z                 in_out_ptr0[i1 + (166375*i0)] = tmp14;
2022-11-23T01:32:37.3261857Z             }
2022-11-23T01:32:37.3261908Z         }
2022-11-23T01:32:37.3261970Z     }
2022-11-23T01:32:37.3262032Z }
2022-11-23T01:32:37.3262110Z ''')
2022-11-23T01:32:37.3262115Z 
2022-11-23T01:32:37.3262119Z 
2022-11-23T01:32:37.3262211Z async_compile.wait(globals())
2022-11-23T01:32:37.3262284Z del async_compile
2022-11-23T01:32:37.3262289Z 
2022-11-23T01:32:37.3262358Z def call(args):
2022-11-23T01:32:37.3262457Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.3262528Z     args.clear()
2022-11-23T01:32:37.3262671Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2022-11-23T01:32:37.3262788Z     assert_size_stride(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2022-11-23T01:32:37.3262855Z     del arg0_1
2022-11-23T01:32:37.3262922Z     del arg6_1
2022-11-23T01:32:37.3263046Z     buf1 = as_strided(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1)); del buf0  # reuse
2022-11-23T01:32:37.3263256Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.3263310Z     del arg1_1
2022-11-23T01:32:37.3263375Z     del arg2_1
2022-11-23T01:32:37.3263442Z     del arg3_1
2022-11-23T01:32:37.3263506Z     del arg4_1
2022-11-23T01:32:37.3263576Z     return (buf1, )
2022-11-23T01:32:37.3263582Z 
2022-11-23T01:32:37.3263586Z 
2022-11-23T01:32:37.3263661Z if __name__ == "__main__":
2022-11-23T01:32:37.3263775Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3263885Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3264103Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3264294Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3264561Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3264758Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3264946Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3265126Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3265398Z     arg6_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3265536Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.3265554Z 
2022-11-23T01:32:37.3265559Z 
2022-11-23T01:32:37.3265640Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3265709Z import torch
2022-11-23T01:32:37.3265810Z import random
2022-11-23T01:32:37.3265926Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3266047Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3266052Z 
2022-11-23T01:32:37.3266130Z aten = torch.ops.aten
2022-11-23T01:32:37.3266266Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3266344Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3266348Z 
2022-11-23T01:32:37.3266365Z 
2022-11-23T01:32:37.3266484Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3266688Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3266805Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3266904Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.3266965Z {
2022-11-23T01:32:37.3267061Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3267123Z     {
2022-11-23T01:32:37.3267203Z         #pragma omp for  collapse(2)
2022-11-23T01:32:37.3267282Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T01:32:37.3267346Z         {
2022-11-23T01:32:37.3267435Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:32:37.3267498Z             {
2022-11-23T01:32:37.3267562Z                 {
2022-11-23T01:32:37.3267616Z                     {
2022-11-23T01:32:37.3267716Z                         auto tmp0 = in_ptr0[i0 + (3*i1)];
2022-11-23T01:32:37.3267814Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:32:37.3267883Z                     }
2022-11-23T01:32:37.3267947Z                 }
2022-11-23T01:32:37.3268009Z             }
2022-11-23T01:32:37.3268070Z         }
2022-11-23T01:32:37.3268118Z     }
2022-11-23T01:32:37.3268176Z }
2022-11-23T01:32:37.3268254Z ''')
2022-11-23T01:32:37.3268259Z 
2022-11-23T01:32:37.3268263Z 
2022-11-23T01:32:37.3268395Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.3268599Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3268713Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.3268814Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3268912Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.3269000Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.3269100Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.3269159Z {
2022-11-23T01:32:37.3269254Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3269318Z     {
2022-11-23T01:32:37.3269393Z         #pragma omp for 
2022-11-23T01:32:37.3269474Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.3269523Z         {
2022-11-23T01:32:37.3269611Z             for(long i1=0; i1<10398; i1+=1)
2022-11-23T01:32:37.3269674Z             {
2022-11-23T01:32:37.3269823Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.3269950Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.3270071Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.3270195Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.3270313Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.3270430Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3270636Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.3270753Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3270837Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.3270937Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.3271071Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.3271156Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3271231Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3271350Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3271439Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3271546Z                 tmp14.store(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.3271610Z             }
2022-11-23T01:32:37.3271702Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.3271792Z             for(long i1=166368; i1<166375; i1+=1)
2022-11-23T01:32:37.3271842Z             {
2022-11-23T01:32:37.3271945Z                 auto tmp0 = in_out_ptr0[i1 + (166375*i0)];
2022-11-23T01:32:37.3272032Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.3272115Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.3272202Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.3272289Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.3272415Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3272558Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.3272643Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3272739Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.3272820Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.3272922Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.3273005Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3273092Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3273168Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3273256Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3273355Z                 in_out_ptr0[i1 + (166375*i0)] = tmp14;
2022-11-23T01:32:37.3273418Z             }
2022-11-23T01:32:37.3273481Z         }
2022-11-23T01:32:37.3273543Z     }
2022-11-23T01:32:37.3273602Z }
2022-11-23T01:32:37.3273666Z ''')
2022-11-23T01:32:37.3273671Z 
2022-11-23T01:32:37.3273687Z 
2022-11-23T01:32:37.3273763Z async_compile.wait(globals())
2022-11-23T01:32:37.3273834Z del async_compile
2022-11-23T01:32:37.3273839Z 
2022-11-23T01:32:37.3273911Z def call(args):
2022-11-23T01:32:37.3274023Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.3274095Z     args.clear()
2022-11-23T01:32:37.3274329Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3274461Z     kernel_cpp_0(c_void_p(arg6_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.3274516Z     del arg6_1
2022-11-23T01:32:37.3274656Z     buf1 = aten.convolution(buf0, arg0_1, None, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2022-11-23T01:32:37.3274771Z     assert_size_stride(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1))
2022-11-23T01:32:37.3274838Z     del arg0_1
2022-11-23T01:32:37.3274902Z     del buf0
2022-11-23T01:32:37.3275025Z     buf2 = as_strided(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1)); del buf1  # reuse
2022-11-23T01:32:37.3275233Z     kernel_cpp_1(c_void_p(buf2.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.3275299Z     del arg1_1
2022-11-23T01:32:37.3275353Z     del arg2_1
2022-11-23T01:32:37.3275416Z     del arg3_1
2022-11-23T01:32:37.3275482Z     del arg4_1
2022-11-23T01:32:37.3275552Z     return (buf2, )
2022-11-23T01:32:37.3275557Z 
2022-11-23T01:32:37.3275561Z 
2022-11-23T01:32:37.3275636Z if __name__ == "__main__":
2022-11-23T01:32:37.3275749Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3275871Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3276108Z     arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3276299Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3276487Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3276674Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3276894Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3277075Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3277417Z     arg6_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3277565Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.3277922Z [2022-11-23 01:18:42,121] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uv/cuvr5cb2dyg3l6ua7u22uiuibjllqostw4tqkqjhwcwzoro6zg7f.py
2022-11-23T01:32:37.3278192Z [2022-11-23 01:18:42,121] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 133
2022-11-23T01:32:37.3278433Z [2022-11-23 01:18:43,657] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3278702Z [2022-11-23 01:18:43,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3278917Z [2022-11-23 01:18:43,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3279161Z [2022-11-23 01:18:43,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.3279439Z [2022-11-23 01:18:43,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.3279753Z [2022-11-23 01:18:43,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3280005Z [2022-11-23 01:18:43,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.3280238Z [2022-11-23 01:18:43,691] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3280481Z [2022-11-23 01:18:43,693] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3280732Z [2022-11-23 01:18:43,721] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3280920Z [2022-11-23 01:18:43,721] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3281053Z  __compiled_fn_135 <eval_with_key>.864 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3281145Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3281249Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.3281355Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.3281454Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.3281460Z 
2022-11-23T01:32:37.3281723Z [2022-11-23 01:18:43,722] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3281818Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3281909Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3282004Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3282096Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3282173Z               8 RETURN_VALUE
2022-11-23T01:32:37.3282178Z 
2022-11-23T01:32:37.3282239Z  
2022-11-23T01:32:37.3282511Z [2022-11-23 01:18:43,722] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3282607Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_135)
2022-11-23T01:32:37.3282698Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3282841Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3282918Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3283008Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.3283099Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.3283176Z              12 RETURN_VALUE
2022-11-23T01:32:37.3283180Z 
2022-11-23T01:32:37.3283228Z  
2022-11-23T01:32:37.3283448Z [2022-11-23 01:18:43,723] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3283521Z  - 
2022-11-23T01:32:37.3283642Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3283708Z             {
2022-11-23T01:32:37.3283851Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3284037Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.3284144Z                 'obj_weakref': None
2022-11-23T01:32:37.3284368Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3284436Z             }
2022-11-23T01:32:37.3284500Z             
2022-11-23T01:32:37.3284568Z  - 
2022-11-23T01:32:37.3284691Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3284755Z             {
2022-11-23T01:32:37.3284884Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3284988Z                 'code': None,
2022-11-23T01:32:37.3285197Z                 'obj_weakref': <weakref at 0x7f7106764a10; to 'Tensor' at 0x7f70f2dd4a10>
2022-11-23T01:32:37.3285446Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3285512Z             }
2022-11-23T01:32:37.3285574Z             
2022-11-23T01:32:37.3285641Z  - 
2022-11-23T01:32:37.3285747Z             local 'model' NN_MODULE
2022-11-23T01:32:37.3285809Z             {
2022-11-23T01:32:37.3285939Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3286106Z                 'code': ['___check_obj_id(model, 140123418349712)'],
2022-11-23T01:32:37.3286322Z                 'obj_weakref': <weakref at 0x7f7106a3d890; to 'Sequential' at 0x7f7106935090>
2022-11-23T01:32:37.3286554Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.3286616Z             }
2022-11-23T01:32:37.3286666Z             
2022-11-23T01:32:37.3286734Z  - 
2022-11-23T01:32:37.3286854Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3286918Z             {
2022-11-23T01:32:37.3287056Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3287272Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3287389Z                 'obj_weakref': None
2022-11-23T01:32:37.3287592Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3287653Z             }
2022-11-23T01:32:37.3287716Z             
2022-11-23T01:32:37.3287783Z  - 
2022-11-23T01:32:37.3287931Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.3287993Z             {
2022-11-23T01:32:37.3288109Z                 'guard_types': None,
2022-11-23T01:32:37.3288202Z                 'code': None,
2022-11-23T01:32:37.3288317Z                 'obj_weakref': None
2022-11-23T01:32:37.3288438Z                 'guarded_class': None
2022-11-23T01:32:37.3288501Z             }
2022-11-23T01:32:37.3288563Z             
2022-11-23T01:32:37.3288630Z  - 
2022-11-23T01:32:37.3288775Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.3288824Z             {
2022-11-23T01:32:37.3288943Z                 'guard_types': None,
2022-11-23T01:32:37.3289047Z                 'code': None,
2022-11-23T01:32:37.3289163Z                 'obj_weakref': None
2022-11-23T01:32:37.3289282Z                 'guarded_class': None
2022-11-23T01:32:37.3289345Z             }
2022-11-23T01:32:37.3289406Z             
2022-11-23T01:32:37.3289653Z [2022-11-23 01:18:43,776] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 134
2022-11-23T01:32:37.3290053Z [2022-11-23 01:18:43,809] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hf/chfj3t2dkgih4q7bkmvt4ll5gr3ucqzvyi3bgfsoudl7h6vafb5a.py
2022-11-23T01:32:37.3290317Z [2022-11-23 01:18:43,809] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 134
2022-11-23T01:32:37.3290584Z [2022-11-23 01:18:48,403] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3290851Z [2022-11-23 01:18:48,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3291064Z [2022-11-23 01:18:48,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3291305Z [2022-11-23 01:18:48,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.3291578Z [2022-11-23 01:18:48,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.3291895Z [2022-11-23 01:18:48,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3292128Z [2022-11-23 01:18:48,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.3292363Z [2022-11-23 01:18:48,439] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3292613Z [2022-11-23 01:18:48,440] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3292857Z [2022-11-23 01:18:48,470] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3293043Z [2022-11-23 01:18:48,470] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3293174Z  __compiled_fn_136 <eval_with_key>.870 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3293266Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3293365Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.3293454Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.3293551Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.3293557Z 
2022-11-23T01:32:37.3293832Z [2022-11-23 01:18:48,471] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3293928Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3294017Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3294108Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3294197Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3294273Z               8 RETURN_VALUE
2022-11-23T01:32:37.3294278Z 
2022-11-23T01:32:37.3294326Z  
2022-11-23T01:32:37.3294600Z [2022-11-23 01:18:48,471] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3294708Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_136)
2022-11-23T01:32:37.3294796Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3294882Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3294957Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3295045Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.3295123Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.3295198Z              12 RETURN_VALUE
2022-11-23T01:32:37.3295203Z 
2022-11-23T01:32:37.3295263Z  
2022-11-23T01:32:37.3295442Z [2022-11-23 01:18:48,472] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3295510Z  - 
2022-11-23T01:32:37.3295629Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3295693Z             {
2022-11-23T01:32:37.3295819Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3296002Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.3296150Z                 'obj_weakref': None
2022-11-23T01:32:37.3296373Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3296437Z             }
2022-11-23T01:32:37.3296500Z             
2022-11-23T01:32:37.3296567Z  - 
2022-11-23T01:32:37.3296688Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3296739Z             {
2022-11-23T01:32:37.3296879Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3297012Z                 'code': None,
2022-11-23T01:32:37.3297222Z                 'obj_weakref': <weakref at 0x7f70f28c8f50; to 'Tensor' at 0x7f70f2e186b0>
2022-11-23T01:32:37.3297469Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3297531Z             }
2022-11-23T01:32:37.3297592Z             
2022-11-23T01:32:37.3297647Z  - 
2022-11-23T01:32:37.3297763Z             local 'model' NN_MODULE
2022-11-23T01:32:37.3297826Z             {
2022-11-23T01:32:37.3297961Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3298128Z                 'code': ['___check_obj_id(model, 140123418349712)'],
2022-11-23T01:32:37.3298340Z                 'obj_weakref': <weakref at 0x7f7106a3d890; to 'Sequential' at 0x7f7106935090>
2022-11-23T01:32:37.3298573Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.3298622Z             }
2022-11-23T01:32:37.3298687Z             
2022-11-23T01:32:37.3298755Z  - 
2022-11-23T01:32:37.3298873Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3298937Z             {
2022-11-23T01:32:37.3299070Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3299285Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3299390Z                 'obj_weakref': None
2022-11-23T01:32:37.3299605Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3299671Z             }
2022-11-23T01:32:37.3299733Z             
2022-11-23T01:32:37.3299801Z  - 
2022-11-23T01:32:37.3299942Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.3300005Z             {
2022-11-23T01:32:37.3300111Z                 'guard_types': None,
2022-11-23T01:32:37.3300214Z                 'code': None,
2022-11-23T01:32:37.3300330Z                 'obj_weakref': None
2022-11-23T01:32:37.3300452Z                 'guarded_class': None
2022-11-23T01:32:37.3300513Z             }
2022-11-23T01:32:37.3300578Z             
2022-11-23T01:32:37.3300633Z  - 
2022-11-23T01:32:37.3300774Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.3300835Z             {
2022-11-23T01:32:37.3300952Z                 'guard_types': None,
2022-11-23T01:32:37.3301055Z                 'code': None,
2022-11-23T01:32:37.3301171Z                 'obj_weakref': None
2022-11-23T01:32:37.3301289Z                 'guarded_class': None
2022-11-23T01:32:37.3301341Z             }
2022-11-23T01:32:37.3301402Z             
2022-11-23T01:32:37.3301660Z [2022-11-23 01:18:48,524] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 135
2022-11-23T01:32:37.3301665Z 
2022-11-23T01:32:37.3301669Z 
2022-11-23T01:32:37.3301761Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3301830Z import torch
2022-11-23T01:32:37.3301898Z import random
2022-11-23T01:32:37.3302012Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3302131Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3302136Z 
2022-11-23T01:32:37.3302201Z aten = torch.ops.aten
2022-11-23T01:32:37.3302336Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3302430Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3302436Z 
2022-11-23T01:32:37.3302440Z 
2022-11-23T01:32:37.3302573Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3302778Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3302927Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.3303032Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3303134Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.3303220Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.3303322Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.3303423Z {
2022-11-23T01:32:37.3303521Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3303583Z     {
2022-11-23T01:32:37.3303660Z         #pragma omp for 
2022-11-23T01:32:37.3303742Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.3303792Z         {
2022-11-23T01:32:37.3303879Z             for(long i1=0; i1<10398; i1+=1)
2022-11-23T01:32:37.3303942Z             {
2022-11-23T01:32:37.3304092Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.3304218Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.3304338Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.3304540Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.3304663Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.3304785Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3304993Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.3305084Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3305170Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.3305271Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.3305405Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.3305492Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3305568Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3305663Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3305752Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3305863Z                 tmp14.store(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.3305927Z             }
2022-11-23T01:32:37.3306018Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.3306109Z             for(long i1=166368; i1<166375; i1+=1)
2022-11-23T01:32:37.3306159Z             {
2022-11-23T01:32:37.3306264Z                 auto tmp0 = in_out_ptr0[i1 + (166375*i0)];
2022-11-23T01:32:37.3306348Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.3306433Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.3306521Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.3306607Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.3306733Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3306886Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.3306960Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3307053Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.3307134Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.3307233Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.3307316Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3307401Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3307489Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3307567Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3307665Z                 in_out_ptr0[i1 + (166375*i0)] = tmp14;
2022-11-23T01:32:37.3307727Z             }
2022-11-23T01:32:37.3307790Z         }
2022-11-23T01:32:37.3307852Z     }
2022-11-23T01:32:37.3307914Z }
2022-11-23T01:32:37.3307979Z ''')
2022-11-23T01:32:37.3307996Z 
2022-11-23T01:32:37.3308001Z 
2022-11-23T01:32:37.3308076Z async_compile.wait(globals())
2022-11-23T01:32:37.3308149Z del async_compile
2022-11-23T01:32:37.3308189Z 
2022-11-23T01:32:37.3308258Z def call(args):
2022-11-23T01:32:37.3308369Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.3308440Z     args.clear()
2022-11-23T01:32:37.3308581Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2022-11-23T01:32:37.3308700Z     assert_size_stride(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2022-11-23T01:32:37.3308755Z     del arg0_1
2022-11-23T01:32:37.3308856Z     del arg6_1
2022-11-23T01:32:37.3308984Z     buf1 = as_strided(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1)); del buf0  # reuse
2022-11-23T01:32:37.3309195Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.3309261Z     del arg1_1
2022-11-23T01:32:37.3309328Z     del arg2_1
2022-11-23T01:32:37.3309392Z     del arg3_1
2022-11-23T01:32:37.3309445Z     del arg4_1
2022-11-23T01:32:37.3309517Z     return (buf1, )
2022-11-23T01:32:37.3309522Z 
2022-11-23T01:32:37.3309526Z 
2022-11-23T01:32:37.3309602Z if __name__ == "__main__":
2022-11-23T01:32:37.3309716Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3309836Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3310054Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3310251Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3310443Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3310633Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3310810Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3310985Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3311219Z     arg6_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3311368Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.3311373Z 
2022-11-23T01:32:37.3311377Z 
2022-11-23T01:32:37.3311471Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3311539Z import torch
2022-11-23T01:32:37.3311610Z import random
2022-11-23T01:32:37.3311726Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3311833Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3311838Z 
2022-11-23T01:32:37.3311914Z aten = torch.ops.aten
2022-11-23T01:32:37.3312046Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3312136Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3312141Z 
2022-11-23T01:32:37.3312144Z 
2022-11-23T01:32:37.3312275Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3312477Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3312598Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3312697Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.3312745Z {
2022-11-23T01:32:37.3312842Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3312902Z     {
2022-11-23T01:32:37.3312978Z         #pragma omp for 
2022-11-23T01:32:37.3313060Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:37.3313125Z         {
2022-11-23T01:32:37.3313192Z             #pragma GCC ivdep
2022-11-23T01:32:37.3313281Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:32:37.3313343Z             {
2022-11-23T01:32:37.3313408Z                 {
2022-11-23T01:32:37.3313477Z                     {
2022-11-23T01:32:37.3313579Z                         auto tmp0 = in_ptr0[i0 + (12*i1)];
2022-11-23T01:32:37.3313676Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:32:37.3313730Z                     }
2022-11-23T01:32:37.3313822Z                 }
2022-11-23T01:32:37.3313886Z             }
2022-11-23T01:32:37.3313948Z         }
2022-11-23T01:32:37.3314010Z     }
2022-11-23T01:32:37.3314071Z }
2022-11-23T01:32:37.3314151Z ''')
2022-11-23T01:32:37.3314156Z 
2022-11-23T01:32:37.3314160Z 
2022-11-23T01:32:37.3314281Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.3314485Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3314639Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.3314745Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3314843Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.3314945Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.3315047Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.3315109Z {
2022-11-23T01:32:37.3315194Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3315257Z     {
2022-11-23T01:32:37.3315335Z         #pragma omp for 
2022-11-23T01:32:37.3315419Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.3315483Z         {
2022-11-23T01:32:37.3315573Z             for(long i1=0; i1<10398; i1+=1)
2022-11-23T01:32:37.3315623Z             {
2022-11-23T01:32:37.3315771Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.3315899Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.3316020Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.3316144Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.3316263Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.3316395Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3316599Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.3316689Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3316763Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.3316863Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.3316999Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.3317086Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3317294Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3317392Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3317485Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3317580Z                 tmp14.store(in_out_ptr0 + (16*i1) + (166375*i0));
2022-11-23T01:32:37.3317646Z             }
2022-11-23T01:32:37.3317739Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.3317832Z             for(long i1=166368; i1<166375; i1+=1)
2022-11-23T01:32:37.3317897Z             {
2022-11-23T01:32:37.3318001Z                 auto tmp0 = in_out_ptr0[i1 + (166375*i0)];
2022-11-23T01:32:37.3318091Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.3318164Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.3318251Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.3318339Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.3318468Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3318624Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.3318710Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3318808Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.3318877Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.3318977Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.3319062Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3319149Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3319241Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3319331Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3319483Z                 in_out_ptr0[i1 + (166375*i0)] = tmp14;
2022-11-23T01:32:37.3319534Z             }
2022-11-23T01:32:37.3319599Z         }
2022-11-23T01:32:37.3319661Z     }
2022-11-23T01:32:37.3319722Z }
2022-11-23T01:32:37.3319801Z ''')
2022-11-23T01:32:37.3319806Z 
2022-11-23T01:32:37.3319810Z 
2022-11-23T01:32:37.3319901Z async_compile.wait(globals())
2022-11-23T01:32:37.3319973Z del async_compile
2022-11-23T01:32:37.3319978Z 
2022-11-23T01:32:37.3320049Z def call(args):
2022-11-23T01:32:37.3320183Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.3320255Z     args.clear()
2022-11-23T01:32:37.3320495Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3320629Z     kernel_cpp_0(c_void_p(arg6_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.3320697Z     del arg6_1
2022-11-23T01:32:37.3320837Z     buf1 = aten.convolution(buf0, arg0_1, None, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2022-11-23T01:32:37.3320996Z     assert_size_stride(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1))
2022-11-23T01:32:37.3321076Z     del arg0_1
2022-11-23T01:32:37.3321168Z     del buf0
2022-11-23T01:32:37.3321295Z     buf2 = as_strided(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1)); del buf1  # reuse
2022-11-23T01:32:37.3321504Z     kernel_cpp_1(c_void_p(buf2.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.3321573Z     del arg1_1
2022-11-23T01:32:37.3321638Z     del arg2_1
2022-11-23T01:32:37.3321702Z     del arg3_1
2022-11-23T01:32:37.3321753Z     del arg4_1
2022-11-23T01:32:37.3321824Z     return (buf2, )
2022-11-23T01:32:37.3321829Z 
2022-11-23T01:32:37.3321833Z 
2022-11-23T01:32:37.3321909Z if __name__ == "__main__":
2022-11-23T01:32:37.3322021Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3322144Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3322366Z     arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3322560Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3322751Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3322928Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3323118Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3323295Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3323527Z     arg6_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3323673Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.3324047Z [2022-11-23 01:18:48,564] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sv/csvzsf4ca4hdet625s5mctrhxhax3riqpifn5aocksfnfeyzcpgy.py
2022-11-23T01:32:37.3324314Z [2022-11-23 01:18:48,564] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 135
2022-11-23T01:32:37.3324549Z [2022-11-23 01:18:52,896] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3324816Z [2022-11-23 01:18:52,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3325020Z [2022-11-23 01:18:52,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3325263Z [2022-11-23 01:18:52,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.3325538Z [2022-11-23 01:18:52,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.3325849Z [2022-11-23 01:18:52,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3326141Z [2022-11-23 01:18:52,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.3326374Z [2022-11-23 01:18:52,932] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3326640Z [2022-11-23 01:18:52,934] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3326918Z [2022-11-23 01:18:52,964] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3327105Z [2022-11-23 01:18:52,964] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3327235Z  __compiled_fn_137 <eval_with_key>.876 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3327311Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3327409Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.3327510Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.3327610Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.3327616Z 
2022-11-23T01:32:37.3327890Z [2022-11-23 01:18:52,965] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3327984Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3328077Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3328159Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3328250Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3328326Z               8 RETURN_VALUE
2022-11-23T01:32:37.3328331Z 
2022-11-23T01:32:37.3328394Z  
2022-11-23T01:32:37.3328669Z [2022-11-23 01:18:52,965] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3328777Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_137)
2022-11-23T01:32:37.3328868Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3328956Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3329020Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3329107Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.3329198Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.3329272Z              12 RETURN_VALUE
2022-11-23T01:32:37.3329277Z 
2022-11-23T01:32:37.3329337Z  
2022-11-23T01:32:37.3329517Z [2022-11-23 01:18:52,966] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3329586Z  - 
2022-11-23T01:32:37.3329692Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3329755Z             {
2022-11-23T01:32:37.3329894Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3330078Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.3330196Z                 'obj_weakref': None
2022-11-23T01:32:37.3330418Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3330483Z             }
2022-11-23T01:32:37.3330534Z             
2022-11-23T01:32:37.3330602Z  - 
2022-11-23T01:32:37.3330724Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3330786Z             {
2022-11-23T01:32:37.3330927Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3331033Z                 'code': None,
2022-11-23T01:32:37.3331235Z                 'obj_weakref': <weakref at 0x7f7106993050; to 'Tensor' at 0x7f7106747a70>
2022-11-23T01:32:37.3331470Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3331534Z             }
2022-11-23T01:32:37.3331597Z             
2022-11-23T01:32:37.3331665Z  - 
2022-11-23T01:32:37.3331783Z             local 'model' NN_MODULE
2022-11-23T01:32:37.3331846Z             {
2022-11-23T01:32:37.3331979Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3332133Z                 'code': ['___check_obj_id(model, 140123082945680)'],
2022-11-23T01:32:37.3332382Z                 'obj_weakref': <weakref at 0x7f7106de8890; to 'Sequential' at 0x7f70f2957490>
2022-11-23T01:32:37.3332612Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.3332676Z             }
2022-11-23T01:32:37.3332739Z             
2022-11-23T01:32:37.3332805Z  - 
2022-11-23T01:32:37.3332925Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3332975Z             {
2022-11-23T01:32:37.3333138Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3333354Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3333471Z                 'obj_weakref': None
2022-11-23T01:32:37.3333690Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3333753Z             }
2022-11-23T01:32:37.3333815Z             
2022-11-23T01:32:37.3333870Z  - 
2022-11-23T01:32:37.3334015Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.3334076Z             {
2022-11-23T01:32:37.3334194Z                 'guard_types': None,
2022-11-23T01:32:37.3334298Z                 'code': None,
2022-11-23T01:32:37.3334414Z                 'obj_weakref': None
2022-11-23T01:32:37.3334533Z                 'guarded_class': None
2022-11-23T01:32:37.3334582Z             }
2022-11-23T01:32:37.3334647Z             
2022-11-23T01:32:37.3334716Z  - 
2022-11-23T01:32:37.3334862Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.3334924Z             {
2022-11-23T01:32:37.3335041Z                 'guard_types': None,
2022-11-23T01:32:37.3335145Z                 'code': None,
2022-11-23T01:32:37.3335247Z                 'obj_weakref': None
2022-11-23T01:32:37.3335366Z                 'guarded_class': None
2022-11-23T01:32:37.3335429Z             }
2022-11-23T01:32:37.3335490Z             
2022-11-23T01:32:37.3335747Z [2022-11-23 01:18:53,018] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 136
2022-11-23T01:32:37.3336119Z [2022-11-23 01:18:53,053] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/go/cgohzfsbjyrya36syvrviykvrm5odsuvxbs3kqlmipm4uyxxyrxa.py
2022-11-23T01:32:37.3336381Z [2022-11-23 01:18:53,053] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 136
2022-11-23T01:32:37.3336606Z [2022-11-23 01:18:54,291] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3336870Z [2022-11-23 01:18:54,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3337084Z [2022-11-23 01:18:54,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3337325Z [2022-11-23 01:18:54,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.3337600Z [2022-11-23 01:18:54,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.3337914Z [2022-11-23 01:18:54,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3338160Z [2022-11-23 01:18:54,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.3338390Z [2022-11-23 01:18:54,325] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3338642Z [2022-11-23 01:18:54,327] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3338889Z [2022-11-23 01:18:54,355] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3339064Z [2022-11-23 01:18:54,356] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3339192Z  __compiled_fn_138 <eval_with_key>.882 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3339280Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3339411Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.3339512Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.3339610Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.3339615Z 
2022-11-23T01:32:37.3339890Z [2022-11-23 01:18:54,356] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3339983Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3340089Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3340180Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3340272Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3340347Z               8 RETURN_VALUE
2022-11-23T01:32:37.3340352Z 
2022-11-23T01:32:37.3340414Z  
2022-11-23T01:32:37.3340687Z [2022-11-23 01:18:54,356] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3340796Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_138)
2022-11-23T01:32:37.3340872Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3340960Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3341036Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3341122Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.3341211Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.3341283Z              12 RETURN_VALUE
2022-11-23T01:32:37.3341290Z 
2022-11-23T01:32:37.3341349Z  
2022-11-23T01:32:37.3341528Z [2022-11-23 01:18:54,357] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3341584Z  - 
2022-11-23T01:32:37.3341702Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3341766Z             {
2022-11-23T01:32:37.3341905Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3342090Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.3342207Z                 'obj_weakref': None
2022-11-23T01:32:37.3342429Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3342480Z             }
2022-11-23T01:32:37.3342542Z             
2022-11-23T01:32:37.3342610Z  - 
2022-11-23T01:32:37.3342732Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3342794Z             {
2022-11-23T01:32:37.3342933Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3343029Z                 'code': None,
2022-11-23T01:32:37.3343234Z                 'obj_weakref': <weakref at 0x7f70f2e42a70; to 'Tensor' at 0x7f7106c377d0>
2022-11-23T01:32:37.3343486Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3343548Z             }
2022-11-23T01:32:37.3343610Z             
2022-11-23T01:32:37.3343679Z  - 
2022-11-23T01:32:37.3343796Z             local 'model' NN_MODULE
2022-11-23T01:32:37.3343858Z             {
2022-11-23T01:32:37.3343980Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3344147Z                 'code': ['___check_obj_id(model, 140123082945680)'],
2022-11-23T01:32:37.3344363Z                 'obj_weakref': <weakref at 0x7f7106de8890; to 'Sequential' at 0x7f70f2957490>
2022-11-23T01:32:37.3344690Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.3344755Z             }
2022-11-23T01:32:37.3344819Z             
2022-11-23T01:32:37.3344892Z  - 
2022-11-23T01:32:37.3345001Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3345067Z             {
2022-11-23T01:32:37.3345204Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3345422Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3345541Z                 'obj_weakref': None
2022-11-23T01:32:37.3345758Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3345854Z             }
2022-11-23T01:32:37.3345904Z             
2022-11-23T01:32:37.3345972Z  - 
2022-11-23T01:32:37.3346117Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.3346182Z             {
2022-11-23T01:32:37.3346301Z                 'guard_types': None,
2022-11-23T01:32:37.3346409Z                 'code': None,
2022-11-23T01:32:37.3346523Z                 'obj_weakref': None
2022-11-23T01:32:37.3346631Z                 'guarded_class': None
2022-11-23T01:32:37.3346763Z             }
2022-11-23T01:32:37.3346827Z             
2022-11-23T01:32:37.3346895Z  - 
2022-11-23T01:32:37.3347041Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.3347105Z             {
2022-11-23T01:32:37.3347209Z                 'guard_types': None,
2022-11-23T01:32:37.3347315Z                 'code': None,
2022-11-23T01:32:37.3347431Z                 'obj_weakref': None
2022-11-23T01:32:37.3347550Z                 'guarded_class': None
2022-11-23T01:32:37.3347616Z             }
2022-11-23T01:32:37.3347679Z             
2022-11-23T01:32:37.3347940Z [2022-11-23 01:18:54,408] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 137
2022-11-23T01:32:37.3347946Z 
2022-11-23T01:32:37.3347950Z 
2022-11-23T01:32:37.3348042Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3348098Z import torch
2022-11-23T01:32:37.3348167Z import random
2022-11-23T01:32:37.3348281Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3348405Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3348410Z 
2022-11-23T01:32:37.3348488Z aten = torch.ops.aten
2022-11-23T01:32:37.3348622Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3348715Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3348720Z 
2022-11-23T01:32:37.3348724Z 
2022-11-23T01:32:37.3348857Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3349048Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3349172Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.3349278Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3349380Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.3349481Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.3349581Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.3349641Z {
2022-11-23T01:32:37.3349727Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3349787Z     {
2022-11-23T01:32:37.3349865Z         #pragma omp for 
2022-11-23T01:32:37.3349947Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.3350011Z         {
2022-11-23T01:32:37.3350099Z             for(long i1=0; i1<9304; i1+=1)
2022-11-23T01:32:37.3350163Z             {
2022-11-23T01:32:37.3350305Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (148877*i0));
2022-11-23T01:32:37.3350435Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.3350556Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.3350681Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.3350804Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.3350934Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3351142Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.3351230Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3351304Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.3351405Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.3351538Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.3351626Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3351714Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3351836Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3351927Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3352023Z                 tmp14.store(in_out_ptr0 + (16*i1) + (148877*i0));
2022-11-23T01:32:37.3352088Z             }
2022-11-23T01:32:37.3352180Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.3352272Z             for(long i1=148864; i1<148877; i1+=1)
2022-11-23T01:32:37.3352336Z             {
2022-11-23T01:32:37.3352467Z                 auto tmp0 = in_out_ptr0[i1 + (148877*i0)];
2022-11-23T01:32:37.3352555Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.3352627Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.3352715Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.3352802Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.3352930Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3353087Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.3353176Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3353272Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.3353356Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.3353443Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.3353528Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3353614Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3353705Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3353797Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3353894Z                 in_out_ptr0[i1 + (148877*i0)] = tmp14;
2022-11-23T01:32:37.3353958Z             }
2022-11-23T01:32:37.3354009Z         }
2022-11-23T01:32:37.3354072Z     }
2022-11-23T01:32:37.3354131Z }
2022-11-23T01:32:37.3354208Z ''')
2022-11-23T01:32:37.3354213Z 
2022-11-23T01:32:37.3354217Z 
2022-11-23T01:32:37.3354308Z async_compile.wait(globals())
2022-11-23T01:32:37.3354382Z del async_compile
2022-11-23T01:32:37.3354387Z 
2022-11-23T01:32:37.3354460Z def call(args):
2022-11-23T01:32:37.3354560Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.3354632Z     args.clear()
2022-11-23T01:32:37.3354774Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T01:32:37.3354892Z     assert_size_stride(buf0, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1))
2022-11-23T01:32:37.3354963Z     del arg0_1
2022-11-23T01:32:37.3355032Z     del arg6_1
2022-11-23T01:32:37.3355160Z     buf1 = as_strided(buf0, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1)); del buf0  # reuse
2022-11-23T01:32:37.3355369Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.3355424Z     del arg1_1
2022-11-23T01:32:37.3355488Z     del arg2_1
2022-11-23T01:32:37.3355553Z     del arg3_1
2022-11-23T01:32:37.3355618Z     del arg4_1
2022-11-23T01:32:37.3355690Z     return (buf1, )
2022-11-23T01:32:37.3355695Z 
2022-11-23T01:32:37.3355699Z 
2022-11-23T01:32:37.3355773Z if __name__ == "__main__":
2022-11-23T01:32:37.3355886Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3355994Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3356213Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3356407Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3356600Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3356788Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3356972Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3357276Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3357514Z     arg6_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3357706Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.3357728Z 
2022-11-23T01:32:37.3357732Z 
2022-11-23T01:32:37.3357813Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3357882Z import torch
2022-11-23T01:32:37.3357953Z import random
2022-11-23T01:32:37.3358069Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3358225Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3358230Z 
2022-11-23T01:32:37.3358308Z aten = torch.ops.aten
2022-11-23T01:32:37.3358443Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3358522Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3358527Z 
2022-11-23T01:32:37.3358547Z 
2022-11-23T01:32:37.3358667Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3358871Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3358995Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3359095Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.3359157Z {
2022-11-23T01:32:37.3359255Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3359317Z     {
2022-11-23T01:32:37.3359394Z         #pragma omp for  collapse(2)
2022-11-23T01:32:37.3359474Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T01:32:37.3359536Z         {
2022-11-23T01:32:37.3359626Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:32:37.3359688Z             {
2022-11-23T01:32:37.3359752Z                 {
2022-11-23T01:32:37.3359806Z                     {
2022-11-23T01:32:37.3359906Z                         auto tmp0 = in_ptr0[i0 + (3*i1)];
2022-11-23T01:32:37.3360002Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:32:37.3360068Z                     }
2022-11-23T01:32:37.3360131Z                 }
2022-11-23T01:32:37.3360193Z             }
2022-11-23T01:32:37.3360258Z         }
2022-11-23T01:32:37.3360306Z     }
2022-11-23T01:32:37.3360368Z }
2022-11-23T01:32:37.3360445Z ''')
2022-11-23T01:32:37.3360450Z 
2022-11-23T01:32:37.3360454Z 
2022-11-23T01:32:37.3360584Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.3360787Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3360903Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.3361008Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3361107Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.3361195Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.3361295Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.3361355Z {
2022-11-23T01:32:37.3361450Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3361510Z     {
2022-11-23T01:32:37.3361586Z         #pragma omp for 
2022-11-23T01:32:37.3361670Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.3361720Z         {
2022-11-23T01:32:37.3361807Z             for(long i1=0; i1<9304; i1+=1)
2022-11-23T01:32:37.3361869Z             {
2022-11-23T01:32:37.3362019Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (148877*i0));
2022-11-23T01:32:37.3362145Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.3362267Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.3362389Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.3362507Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.3362624Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3362826Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.3362912Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3362996Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.3363127Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.3363259Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.3363345Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3363421Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3363511Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3363600Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3363733Z                 tmp14.store(in_out_ptr0 + (16*i1) + (148877*i0));
2022-11-23T01:32:37.3363798Z             }
2022-11-23T01:32:37.3363887Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.3363978Z             for(long i1=148864; i1<148877; i1+=1)
2022-11-23T01:32:37.3364028Z             {
2022-11-23T01:32:37.3364131Z                 auto tmp0 = in_out_ptr0[i1 + (148877*i0)];
2022-11-23T01:32:37.3364219Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.3364304Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.3364394Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.3364479Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.3364604Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3364744Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.3364828Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3364923Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.3365007Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.3365104Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.3365185Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3365269Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3365345Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3365432Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3365529Z                 in_out_ptr0[i1 + (148877*i0)] = tmp14;
2022-11-23T01:32:37.3365592Z             }
2022-11-23T01:32:37.3365657Z         }
2022-11-23T01:32:37.3365718Z     }
2022-11-23T01:32:37.3365777Z }
2022-11-23T01:32:37.3365841Z ''')
2022-11-23T01:32:37.3365846Z 
2022-11-23T01:32:37.3365862Z 
2022-11-23T01:32:37.3365937Z async_compile.wait(globals())
2022-11-23T01:32:37.3366008Z del async_compile
2022-11-23T01:32:37.3366013Z 
2022-11-23T01:32:37.3366083Z def call(args):
2022-11-23T01:32:37.3366194Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.3366267Z     args.clear()
2022-11-23T01:32:37.3366500Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3366634Z     kernel_cpp_0(c_void_p(arg6_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.3366688Z     del arg6_1
2022-11-23T01:32:37.3366829Z     buf1 = aten.convolution(buf0, arg0_1, None, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1)
2022-11-23T01:32:37.3366944Z     assert_size_stride(buf1, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1))
2022-11-23T01:32:37.3367013Z     del arg0_1
2022-11-23T01:32:37.3367078Z     del buf0
2022-11-23T01:32:37.3367203Z     buf2 = as_strided(buf1, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1)); del buf1  # reuse
2022-11-23T01:32:37.3367409Z     kernel_cpp_1(c_void_p(buf2.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.3367475Z     del arg1_1
2022-11-23T01:32:37.3367530Z     del arg2_1
2022-11-23T01:32:37.3367595Z     del arg3_1
2022-11-23T01:32:37.3367661Z     del arg4_1
2022-11-23T01:32:37.3367732Z     return (buf2, )
2022-11-23T01:32:37.3367737Z 
2022-11-23T01:32:37.3367741Z 
2022-11-23T01:32:37.3367816Z if __name__ == "__main__":
2022-11-23T01:32:37.3367927Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3368048Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3368255Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3368479Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3368669Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3368857Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3369041Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3369249Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3369477Z     arg6_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3369624Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.3369986Z [2022-11-23 01:18:54,448] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vm/cvm6bvxxhnsnpt2lglli47novw3pfafa3sxciq3p7txeecxqwq75.py
2022-11-23T01:32:37.3370252Z [2022-11-23 01:18:54,448] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 137
2022-11-23T01:32:37.3370488Z [2022-11-23 01:18:55,962] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3370753Z [2022-11-23 01:18:55,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3370969Z [2022-11-23 01:18:55,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3371210Z [2022-11-23 01:18:55,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.3371482Z [2022-11-23 01:18:55,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.3371793Z [2022-11-23 01:18:55,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3372041Z [2022-11-23 01:18:55,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.3372272Z [2022-11-23 01:18:55,997] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3372509Z [2022-11-23 01:18:55,999] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3372755Z [2022-11-23 01:18:56,027] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3372941Z [2022-11-23 01:18:56,027] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3373073Z  __compiled_fn_139 <eval_with_key>.888 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3373161Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3373260Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.3373362Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.3373459Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.3373466Z 
2022-11-23T01:32:37.3373728Z [2022-11-23 01:18:56,028] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3373820Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3373910Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3374002Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3374091Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3374167Z               8 RETURN_VALUE
2022-11-23T01:32:37.3374173Z 
2022-11-23T01:32:37.3374233Z  
2022-11-23T01:32:37.3374510Z [2022-11-23 01:18:56,028] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3374604Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_139)
2022-11-23T01:32:37.3374692Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3374780Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3374885Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3374973Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.3375061Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.3375135Z              12 RETURN_VALUE
2022-11-23T01:32:37.3375139Z 
2022-11-23T01:32:37.3375186Z  
2022-11-23T01:32:37.3375365Z [2022-11-23 01:18:56,029] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3375434Z  - 
2022-11-23T01:32:37.3375550Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3375642Z             {
2022-11-23T01:32:37.3375785Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3375970Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.3376076Z                 'obj_weakref': None
2022-11-23T01:32:37.3376298Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3376362Z             }
2022-11-23T01:32:37.3376424Z             
2022-11-23T01:32:37.3376495Z  - 
2022-11-23T01:32:37.3376617Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3376680Z             {
2022-11-23T01:32:37.3376809Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3376914Z                 'code': None,
2022-11-23T01:32:37.3377119Z                 'obj_weakref': <weakref at 0x7f7106e15e30; to 'Tensor' at 0x7f7106775530>
2022-11-23T01:32:37.3377369Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3377434Z             }
2022-11-23T01:32:37.3377497Z             
2022-11-23T01:32:37.3377564Z  - 
2022-11-23T01:32:37.3377670Z             local 'model' NN_MODULE
2022-11-23T01:32:37.3377733Z             {
2022-11-23T01:32:37.3377866Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3378034Z                 'code': ['___check_obj_id(model, 140123421402064)'],
2022-11-23T01:32:37.3378244Z                 'obj_weakref': <weakref at 0x7f7106789a10; to 'Sequential' at 0x7f7106c1e3d0>
2022-11-23T01:32:37.3378474Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.3378537Z             }
2022-11-23T01:32:37.3378586Z             
2022-11-23T01:32:37.3378654Z  - 
2022-11-23T01:32:37.3378772Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3378836Z             {
2022-11-23T01:32:37.3378970Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3379185Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3379303Z                 'obj_weakref': None
2022-11-23T01:32:37.3379506Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3379568Z             }
2022-11-23T01:32:37.3379630Z             
2022-11-23T01:32:37.3379698Z  - 
2022-11-23T01:32:37.3379841Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.3379904Z             {
2022-11-23T01:32:37.3380024Z                 'guard_types': None,
2022-11-23T01:32:37.3380118Z                 'code': None,
2022-11-23T01:32:37.3380235Z                 'obj_weakref': None
2022-11-23T01:32:37.3380354Z                 'guarded_class': None
2022-11-23T01:32:37.3380417Z             }
2022-11-23T01:32:37.3380478Z             
2022-11-23T01:32:37.3380546Z  - 
2022-11-23T01:32:37.3380689Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.3380738Z             {
2022-11-23T01:32:37.3380858Z                 'guard_types': None,
2022-11-23T01:32:37.3380963Z                 'code': None,
2022-11-23T01:32:37.3381077Z                 'obj_weakref': None
2022-11-23T01:32:37.3381197Z                 'guarded_class': None
2022-11-23T01:32:37.3381259Z             }
2022-11-23T01:32:37.3381320Z             
2022-11-23T01:32:37.3381566Z [2022-11-23 01:18:56,079] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 138
2022-11-23T01:32:37.3381926Z [2022-11-23 01:18:56,114] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rz/crz56ata55yuyaoj6xqh4ye55arkaemja4jtq6isohfj3bptst26.py
2022-11-23T01:32:37.3382217Z [2022-11-23 01:18:56,114] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 138
2022-11-23T01:32:37.3382450Z [2022-11-23 01:19:00,354] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3382743Z [2022-11-23 01:19:00,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3382957Z [2022-11-23 01:19:00,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3383198Z [2022-11-23 01:19:00,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.3383471Z [2022-11-23 01:19:00,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.3383782Z [2022-11-23 01:19:00,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3384018Z [2022-11-23 01:19:00,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.3384248Z [2022-11-23 01:19:00,388] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3384587Z [2022-11-23 01:19:00,390] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3384840Z [2022-11-23 01:19:00,419] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3385028Z [2022-11-23 01:19:00,419] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3385159Z  __compiled_fn_140 <eval_with_key>.894 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3385251Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3385351Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.3385442Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.3385542Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.3385549Z 
2022-11-23T01:32:37.3385824Z [2022-11-23 01:19:00,420] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3385920Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3386012Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3386108Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3386199Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3386276Z               8 RETURN_VALUE
2022-11-23T01:32:37.3386282Z 
2022-11-23T01:32:37.3386331Z  
2022-11-23T01:32:37.3386605Z [2022-11-23 01:19:00,420] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3386711Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_140)
2022-11-23T01:32:37.3386805Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3386899Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3386978Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3387067Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.3387145Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.3387223Z              12 RETURN_VALUE
2022-11-23T01:32:37.3387228Z 
2022-11-23T01:32:37.3387289Z  
2022-11-23T01:32:37.3387473Z [2022-11-23 01:19:00,421] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3387544Z  - 
2022-11-23T01:32:37.3387664Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3387729Z             {
2022-11-23T01:32:37.3387856Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3388041Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.3388160Z                 'obj_weakref': None
2022-11-23T01:32:37.3388385Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3388483Z             }
2022-11-23T01:32:37.3388545Z             
2022-11-23T01:32:37.3388615Z  - 
2022-11-23T01:32:37.3388743Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3388793Z             {
2022-11-23T01:32:37.3388936Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3389042Z                 'code': None,
2022-11-23T01:32:37.3389292Z                 'obj_weakref': <weakref at 0x7f70f2e06650; to 'Tensor' at 0x7f7106747cb0>
2022-11-23T01:32:37.3389543Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3389610Z             }
2022-11-23T01:32:37.3389677Z             
2022-11-23T01:32:37.3389732Z  - 
2022-11-23T01:32:37.3389852Z             local 'model' NN_MODULE
2022-11-23T01:32:37.3389917Z             {
2022-11-23T01:32:37.3390051Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3390219Z                 'code': ['___check_obj_id(model, 140123421402064)'],
2022-11-23T01:32:37.3390433Z                 'obj_weakref': <weakref at 0x7f7106789a10; to 'Sequential' at 0x7f7106c1e3d0>
2022-11-23T01:32:37.3390666Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.3390717Z             }
2022-11-23T01:32:37.3390781Z             
2022-11-23T01:32:37.3390852Z  - 
2022-11-23T01:32:37.3390975Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3391041Z             {
2022-11-23T01:32:37.3391176Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3391395Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3391499Z                 'obj_weakref': None
2022-11-23T01:32:37.3391716Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3391781Z             }
2022-11-23T01:32:37.3391844Z             
2022-11-23T01:32:37.3391913Z  - 
2022-11-23T01:32:37.3392059Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.3392121Z             {
2022-11-23T01:32:37.3392227Z                 'guard_types': None,
2022-11-23T01:32:37.3392334Z                 'code': None,
2022-11-23T01:32:37.3392448Z                 'obj_weakref': None
2022-11-23T01:32:37.3392566Z                 'guarded_class': None
2022-11-23T01:32:37.3392629Z             }
2022-11-23T01:32:37.3392691Z             
2022-11-23T01:32:37.3392747Z  - 
2022-11-23T01:32:37.3392890Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.3392951Z             {
2022-11-23T01:32:37.3393066Z                 'guard_types': None,
2022-11-23T01:32:37.3393172Z                 'code': None,
2022-11-23T01:32:37.3393286Z                 'obj_weakref': None
2022-11-23T01:32:37.3393407Z                 'guarded_class': None
2022-11-23T01:32:37.3393457Z             }
2022-11-23T01:32:37.3393520Z             
2022-11-23T01:32:37.3393777Z [2022-11-23 01:19:00,472] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 139
2022-11-23T01:32:37.3393784Z 
2022-11-23T01:32:37.3393789Z 
2022-11-23T01:32:37.3393881Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3393949Z import torch
2022-11-23T01:32:37.3394017Z import random
2022-11-23T01:32:37.3394131Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3394251Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3394256Z 
2022-11-23T01:32:37.3394322Z aten = torch.ops.aten
2022-11-23T01:32:37.3394455Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3394546Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3394551Z 
2022-11-23T01:32:37.3394555Z 
2022-11-23T01:32:37.3394689Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3394892Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3395008Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.3395144Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3395246Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.3395335Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.3395434Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.3395493Z {
2022-11-23T01:32:37.3395590Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3395651Z     {
2022-11-23T01:32:37.3395755Z         #pragma omp for 
2022-11-23T01:32:37.3395837Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.3395887Z         {
2022-11-23T01:32:37.3395973Z             for(long i1=0; i1<9304; i1+=1)
2022-11-23T01:32:37.3396034Z             {
2022-11-23T01:32:37.3396186Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (148877*i0));
2022-11-23T01:32:37.3396309Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.3396431Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.3396554Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.3396672Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.3396789Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3396991Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.3397080Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3397296Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.3397397Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.3397532Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.3397620Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3397695Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3397788Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3397878Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3397989Z                 tmp14.store(in_out_ptr0 + (16*i1) + (148877*i0));
2022-11-23T01:32:37.3398054Z             }
2022-11-23T01:32:37.3398146Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.3398238Z             for(long i1=148864; i1<148877; i1+=1)
2022-11-23T01:32:37.3398289Z             {
2022-11-23T01:32:37.3398394Z                 auto tmp0 = in_out_ptr0[i1 + (148877*i0)];
2022-11-23T01:32:37.3398481Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.3398566Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.3398659Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.3398745Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.3398876Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3399031Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.3399105Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3399201Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.3399285Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.3399383Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.3399467Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3399551Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3399642Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3399718Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3399817Z                 in_out_ptr0[i1 + (148877*i0)] = tmp14;
2022-11-23T01:32:37.3399879Z             }
2022-11-23T01:32:37.3399941Z         }
2022-11-23T01:32:37.3400002Z     }
2022-11-23T01:32:37.3400061Z }
2022-11-23T01:32:37.3400126Z ''')
2022-11-23T01:32:37.3400143Z 
2022-11-23T01:32:37.3400147Z 
2022-11-23T01:32:37.3400223Z async_compile.wait(globals())
2022-11-23T01:32:37.3400294Z del async_compile
2022-11-23T01:32:37.3400300Z 
2022-11-23T01:32:37.3400369Z def call(args):
2022-11-23T01:32:37.3400481Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.3400612Z     args.clear()
2022-11-23T01:32:37.3400758Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2022-11-23T01:32:37.3400877Z     assert_size_stride(buf0, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1))
2022-11-23T01:32:37.3400931Z     del arg0_1
2022-11-23T01:32:37.3400998Z     del arg6_1
2022-11-23T01:32:37.3401161Z     buf1 = as_strided(buf0, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1)); del buf0  # reuse
2022-11-23T01:32:37.3401372Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.3401440Z     del arg1_1
2022-11-23T01:32:37.3401506Z     del arg2_1
2022-11-23T01:32:37.3401572Z     del arg3_1
2022-11-23T01:32:37.3401625Z     del arg4_1
2022-11-23T01:32:37.3401698Z     return (buf1, )
2022-11-23T01:32:37.3401702Z 
2022-11-23T01:32:37.3401706Z 
2022-11-23T01:32:37.3401787Z if __name__ == "__main__":
2022-11-23T01:32:37.3401900Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3402022Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3402242Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3402434Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3402632Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3402822Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3402997Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3403175Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3403409Z     arg6_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3403558Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.3403562Z 
2022-11-23T01:32:37.3403567Z 
2022-11-23T01:32:37.3403661Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3403730Z import torch
2022-11-23T01:32:37.3403800Z import random
2022-11-23T01:32:37.3403915Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3404021Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3404026Z 
2022-11-23T01:32:37.3404103Z aten = torch.ops.aten
2022-11-23T01:32:37.3404235Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3404327Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3404332Z 
2022-11-23T01:32:37.3404336Z 
2022-11-23T01:32:37.3404466Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3404669Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3404785Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3404885Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.3404933Z {
2022-11-23T01:32:37.3405030Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3405092Z     {
2022-11-23T01:32:37.3405167Z         #pragma omp for 
2022-11-23T01:32:37.3405247Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:37.3405310Z         {
2022-11-23T01:32:37.3405376Z             #pragma GCC ivdep
2022-11-23T01:32:37.3405466Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:32:37.3405529Z             {
2022-11-23T01:32:37.3405592Z                 {
2022-11-23T01:32:37.3405660Z                     {
2022-11-23T01:32:37.3405760Z                         auto tmp0 = in_ptr0[i0 + (12*i1)];
2022-11-23T01:32:37.3405855Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:32:37.3405908Z                     }
2022-11-23T01:32:37.3405971Z                 }
2022-11-23T01:32:37.3406034Z             }
2022-11-23T01:32:37.3406096Z         }
2022-11-23T01:32:37.3406186Z     }
2022-11-23T01:32:37.3406245Z }
2022-11-23T01:32:37.3406321Z ''')
2022-11-23T01:32:37.3406326Z 
2022-11-23T01:32:37.3406330Z 
2022-11-23T01:32:37.3406450Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.3406650Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3406764Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.3406897Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3406999Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.3407100Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.3407200Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.3407260Z {
2022-11-23T01:32:37.3407343Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3407403Z     {
2022-11-23T01:32:37.3407477Z         #pragma omp for 
2022-11-23T01:32:37.3407558Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.3407624Z         {
2022-11-23T01:32:37.3407710Z             for(long i1=0; i1<9304; i1+=1)
2022-11-23T01:32:37.3407760Z             {
2022-11-23T01:32:37.3407906Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (148877*i0));
2022-11-23T01:32:37.3408030Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.3408151Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.3408275Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.3408396Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.3408525Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3408728Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.3408814Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3408888Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.3408990Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.3409124Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.3409209Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3409297Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3409387Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3409476Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3409574Z                 tmp14.store(in_out_ptr0 + (16*i1) + (148877*i0));
2022-11-23T01:32:37.3409636Z             }
2022-11-23T01:32:37.3409727Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.3409815Z             for(long i1=148864; i1<148877; i1+=1)
2022-11-23T01:32:37.3409881Z             {
2022-11-23T01:32:37.3409982Z                 auto tmp0 = in_out_ptr0[i1 + (148877*i0)];
2022-11-23T01:32:37.3410066Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.3410138Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.3410225Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.3410311Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.3410437Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3410592Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.3410676Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3410770Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.3410838Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.3410937Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.3411021Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3411107Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3411196Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3411284Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3411381Z                 in_out_ptr0[i1 + (148877*i0)] = tmp14;
2022-11-23T01:32:37.3411432Z             }
2022-11-23T01:32:37.3411531Z         }
2022-11-23T01:32:37.3411618Z     }
2022-11-23T01:32:37.3411709Z }
2022-11-23T01:32:37.3411828Z ''')
2022-11-23T01:32:37.3411836Z 
2022-11-23T01:32:37.3411842Z 
2022-11-23T01:32:37.3411978Z async_compile.wait(globals())
2022-11-23T01:32:37.3412059Z del async_compile
2022-11-23T01:32:37.3412064Z 
2022-11-23T01:32:37.3412134Z def call(args):
2022-11-23T01:32:37.3412234Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.3412305Z     args.clear()
2022-11-23T01:32:37.3412594Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3412729Z     kernel_cpp_0(c_void_p(arg6_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.3412799Z     del arg6_1
2022-11-23T01:32:37.3412941Z     buf1 = aten.convolution(buf0, arg0_1, None, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4)
2022-11-23T01:32:37.3413059Z     assert_size_stride(buf1, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1))
2022-11-23T01:32:37.3413117Z     del arg0_1
2022-11-23T01:32:37.3413181Z     del buf0
2022-11-23T01:32:37.3413304Z     buf2 = as_strided(buf1, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1)); del buf1  # reuse
2022-11-23T01:32:37.3413511Z     kernel_cpp_1(c_void_p(buf2.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.3413578Z     del arg1_1
2022-11-23T01:32:37.3413643Z     del arg2_1
2022-11-23T01:32:37.3413711Z     del arg3_1
2022-11-23T01:32:37.3413763Z     del arg4_1
2022-11-23T01:32:37.3413835Z     return (buf2, )
2022-11-23T01:32:37.3413840Z 
2022-11-23T01:32:37.3413845Z 
2022-11-23T01:32:37.3413923Z if __name__ == "__main__":
2022-11-23T01:32:37.3414041Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3414164Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3414388Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3414584Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3414777Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3414964Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3415142Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3415325Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3415557Z     arg6_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3415703Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.3416069Z [2022-11-23 01:19:00,512] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/33/c33mk22bsmshvhoumdzdtdrr3wv7id2nxqqjzq3cujpinuxpcyaa.py
2022-11-23T01:32:37.3416336Z [2022-11-23 01:19:00,512] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 139
2022-11-23T01:32:37.3416574Z [2022-11-23 01:19:04,609] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3416843Z [2022-11-23 01:19:04,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3417047Z [2022-11-23 01:19:04,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3417289Z [2022-11-23 01:19:04,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.3417563Z [2022-11-23 01:19:04,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.3417874Z [2022-11-23 01:19:04,609] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3418117Z [2022-11-23 01:19:04,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.3418379Z [2022-11-23 01:19:04,644] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3418632Z [2022-11-23 01:19:04,646] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3418878Z [2022-11-23 01:19:04,675] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3419091Z [2022-11-23 01:19:04,676] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3419225Z  __compiled_fn_141 <eval_with_key>.900 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3419304Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3419404Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.3419506Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.3419606Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.3419613Z 
2022-11-23T01:32:37.3419890Z [2022-11-23 01:19:04,676] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3419983Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3420076Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3420154Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3420244Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3420323Z               8 RETURN_VALUE
2022-11-23T01:32:37.3420328Z 
2022-11-23T01:32:37.3420391Z  
2022-11-23T01:32:37.3420673Z [2022-11-23 01:19:04,676] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3420781Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_141)
2022-11-23T01:32:37.3420871Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3420961Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3421042Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3421133Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.3421223Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.3421298Z              12 RETURN_VALUE
2022-11-23T01:32:37.3421303Z 
2022-11-23T01:32:37.3421365Z  
2022-11-23T01:32:37.3421546Z [2022-11-23 01:19:04,677] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3421615Z  - 
2022-11-23T01:32:37.3421722Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3421789Z             {
2022-11-23T01:32:37.3421930Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3422114Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.3422235Z                 'obj_weakref': None
2022-11-23T01:32:37.3422539Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3422634Z             }
2022-11-23T01:32:37.3422689Z             
2022-11-23T01:32:37.3422763Z  - 
2022-11-23T01:32:37.3422939Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3423018Z             {
2022-11-23T01:32:37.3423167Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3423275Z                 'code': None,
2022-11-23T01:32:37.3423483Z                 'obj_weakref': <weakref at 0x7f710699eb90; to 'Tensor' at 0x7f71069b24d0>
2022-11-23T01:32:37.3423720Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3423788Z             }
2022-11-23T01:32:37.3423851Z             
2022-11-23T01:32:37.3423920Z  - 
2022-11-23T01:32:37.3424040Z             local 'model' NN_MODULE
2022-11-23T01:32:37.3424104Z             {
2022-11-23T01:32:37.3424240Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3424397Z                 'code': ['___check_obj_id(model, 140123411085200)'],
2022-11-23T01:32:37.3424685Z                 'obj_weakref': <weakref at 0x7f70f2e09a10; to 'Sequential' at 0x7f7106247790>
2022-11-23T01:32:37.3424960Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.3425024Z             }
2022-11-23T01:32:37.3425087Z             
2022-11-23T01:32:37.3425156Z  - 
2022-11-23T01:32:37.3425279Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3425330Z             {
2022-11-23T01:32:37.3425468Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3425713Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3425832Z                 'obj_weakref': None
2022-11-23T01:32:37.3426046Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3426109Z             }
2022-11-23T01:32:37.3426170Z             
2022-11-23T01:32:37.3426225Z  - 
2022-11-23T01:32:37.3426371Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.3426433Z             {
2022-11-23T01:32:37.3426556Z                 'guard_types': None,
2022-11-23T01:32:37.3426662Z                 'code': None,
2022-11-23T01:32:37.3426779Z                 'obj_weakref': None
2022-11-23T01:32:37.3426900Z                 'guarded_class': None
2022-11-23T01:32:37.3426949Z             }
2022-11-23T01:32:37.3427012Z             
2022-11-23T01:32:37.3427081Z  - 
2022-11-23T01:32:37.3427225Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.3427290Z             {
2022-11-23T01:32:37.3427410Z                 'guard_types': None,
2022-11-23T01:32:37.3427515Z                 'code': None,
2022-11-23T01:32:37.3427618Z                 'obj_weakref': None
2022-11-23T01:32:37.3427735Z                 'guarded_class': None
2022-11-23T01:32:37.3427797Z             }
2022-11-23T01:32:37.3427860Z             
2022-11-23T01:32:37.3428118Z [2022-11-23 01:19:04,729] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 140
2022-11-23T01:32:37.3428486Z [2022-11-23 01:19:04,762] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xa/cxa3rt2lzdlv6bljczs7cyakb3v3vjrtwk75ourlxpzow6nhuvvx.py
2022-11-23T01:32:37.3428751Z [2022-11-23 01:19:04,762] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 140
2022-11-23T01:32:37.3428985Z [2022-11-23 01:19:06,054] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3429239Z [2022-11-23 01:19:06,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3429452Z [2022-11-23 01:19:06,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3429690Z [2022-11-23 01:19:06,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.3429961Z [2022-11-23 01:19:06,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.3430271Z [2022-11-23 01:19:06,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3430514Z [2022-11-23 01:19:06,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.3430745Z [2022-11-23 01:19:06,089] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3430996Z [2022-11-23 01:19:06,090] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3431239Z [2022-11-23 01:19:06,121] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3431414Z [2022-11-23 01:19:06,122] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3431544Z  __compiled_fn_142 <eval_with_key>.906 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3431632Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3431730Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.3431859Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.3431956Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.3431963Z 
2022-11-23T01:32:37.3432237Z [2022-11-23 01:19:06,122] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3432329Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3432405Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3432536Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3432627Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3432702Z               8 RETURN_VALUE
2022-11-23T01:32:37.3432708Z 
2022-11-23T01:32:37.3432769Z  
2022-11-23T01:32:37.3433040Z [2022-11-23 01:19:06,122] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3433148Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_142)
2022-11-23T01:32:37.3433225Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3433315Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3433390Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3433478Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.3433568Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.3433643Z              12 RETURN_VALUE
2022-11-23T01:32:37.3433648Z 
2022-11-23T01:32:37.3433708Z  
2022-11-23T01:32:37.3433890Z [2022-11-23 01:19:06,123] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3433947Z  - 
2022-11-23T01:32:37.3434065Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3434129Z             {
2022-11-23T01:32:37.3434270Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3434455Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.3434571Z                 'obj_weakref': None
2022-11-23T01:32:37.3434789Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3434844Z             }
2022-11-23T01:32:37.3434906Z             
2022-11-23T01:32:37.3434974Z  - 
2022-11-23T01:32:37.3435095Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3435157Z             {
2022-11-23T01:32:37.3435299Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3435391Z                 'code': None,
2022-11-23T01:32:37.3435598Z                 'obj_weakref': <weakref at 0x7f712a38e530; to 'Tensor' at 0x7f710cd87cb0>
2022-11-23T01:32:37.3435844Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3435908Z             }
2022-11-23T01:32:37.3435971Z             
2022-11-23T01:32:37.3436038Z  - 
2022-11-23T01:32:37.3436156Z             local 'model' NN_MODULE
2022-11-23T01:32:37.3436218Z             {
2022-11-23T01:32:37.3436339Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3436503Z                 'code': ['___check_obj_id(model, 140123411085200)'],
2022-11-23T01:32:37.3436722Z                 'obj_weakref': <weakref at 0x7f70f2de6e30; to 'Sequential' at 0x7f7106247790>
2022-11-23T01:32:37.3436952Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.3437016Z             }
2022-11-23T01:32:37.3437077Z             
2022-11-23T01:32:37.3437266Z  - 
2022-11-23T01:32:37.3437377Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3437441Z             {
2022-11-23T01:32:37.3437578Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3437796Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3437913Z                 'obj_weakref': None
2022-11-23T01:32:37.3438132Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3438197Z             }
2022-11-23T01:32:37.3438246Z             
2022-11-23T01:32:37.3438315Z  - 
2022-11-23T01:32:37.3438524Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.3438588Z             {
2022-11-23T01:32:37.3438708Z                 'guard_types': None,
2022-11-23T01:32:37.3438815Z                 'code': None,
2022-11-23T01:32:37.3438932Z                 'obj_weakref': None
2022-11-23T01:32:37.3439037Z                 'guarded_class': None
2022-11-23T01:32:37.3439100Z             }
2022-11-23T01:32:37.3439165Z             
2022-11-23T01:32:37.3439233Z  - 
2022-11-23T01:32:37.3439411Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.3439476Z             {
2022-11-23T01:32:37.3439583Z                 'guard_types': None,
2022-11-23T01:32:37.3439690Z                 'code': None,
2022-11-23T01:32:37.3439807Z                 'obj_weakref': None
2022-11-23T01:32:37.3439925Z                 'guarded_class': None
2022-11-23T01:32:37.3439989Z             }
2022-11-23T01:32:37.3440052Z             
2022-11-23T01:32:37.3440313Z [2022-11-23 01:19:06,175] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 141
2022-11-23T01:32:37.3440321Z 
2022-11-23T01:32:37.3440326Z 
2022-11-23T01:32:37.3440419Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3440474Z import torch
2022-11-23T01:32:37.3440541Z import random
2022-11-23T01:32:37.3440655Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3440774Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3440779Z 
2022-11-23T01:32:37.3440859Z aten = torch.ops.aten
2022-11-23T01:32:37.3440992Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3441083Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3441087Z 
2022-11-23T01:32:37.3441092Z 
2022-11-23T01:32:37.3441224Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3441415Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3441529Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.3441635Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3441739Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.3441839Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.3441938Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.3441998Z {
2022-11-23T01:32:37.3442083Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3442144Z     {
2022-11-23T01:32:37.3442222Z         #pragma omp for 
2022-11-23T01:32:37.3442304Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.3442367Z         {
2022-11-23T01:32:37.3442454Z             for(long i1=0; i1<8290; i1+=1)
2022-11-23T01:32:37.3442518Z             {
2022-11-23T01:32:37.3442660Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (132651*i0));
2022-11-23T01:32:37.3442786Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.3442905Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.3443030Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.3443149Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.3443281Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3443486Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.3443572Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3443647Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.3443746Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.3443878Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.3443966Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3444055Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3444146Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3444235Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3444408Z                 tmp14.store(in_out_ptr0 + (16*i1) + (132651*i0));
2022-11-23T01:32:37.3444459Z             }
2022-11-23T01:32:37.3444551Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.3444642Z             for(long i1=132640; i1<132651; i1+=1)
2022-11-23T01:32:37.3444706Z             {
2022-11-23T01:32:37.3444808Z                 auto tmp0 = in_out_ptr0[i1 + (132651*i0)];
2022-11-23T01:32:37.3444895Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.3444998Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.3445089Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.3445178Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.3445305Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3445460Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.3445547Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3445643Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.3445727Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.3445813Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.3445898Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3445985Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3446077Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3446166Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3446265Z                 in_out_ptr0[i1 + (132651*i0)] = tmp14;
2022-11-23T01:32:37.3446330Z             }
2022-11-23T01:32:37.3446380Z         }
2022-11-23T01:32:37.3446442Z     }
2022-11-23T01:32:37.3446503Z }
2022-11-23T01:32:37.3446579Z ''')
2022-11-23T01:32:37.3446584Z 
2022-11-23T01:32:37.3446589Z 
2022-11-23T01:32:37.3446677Z async_compile.wait(globals())
2022-11-23T01:32:37.3446749Z del async_compile
2022-11-23T01:32:37.3446754Z 
2022-11-23T01:32:37.3446822Z def call(args):
2022-11-23T01:32:37.3446921Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.3446993Z     args.clear()
2022-11-23T01:32:37.3447133Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2022-11-23T01:32:37.3447250Z     assert_size_stride(buf0, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1))
2022-11-23T01:32:37.3447317Z     del arg0_1
2022-11-23T01:32:37.3447381Z     del arg6_1
2022-11-23T01:32:37.3447510Z     buf1 = as_strided(buf0, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1)); del buf0  # reuse
2022-11-23T01:32:37.3447722Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.3447777Z     del arg1_1
2022-11-23T01:32:37.3447842Z     del arg2_1
2022-11-23T01:32:37.3447907Z     del arg3_1
2022-11-23T01:32:37.3447971Z     del arg4_1
2022-11-23T01:32:37.3448040Z     return (buf1, )
2022-11-23T01:32:37.3448046Z 
2022-11-23T01:32:37.3448050Z 
2022-11-23T01:32:37.3448124Z if __name__ == "__main__":
2022-11-23T01:32:37.3448240Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3448349Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3448564Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3448757Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3448948Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3449134Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3449319Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3449495Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3449727Z     arg6_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3449863Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.3449907Z 
2022-11-23T01:32:37.3449911Z 
2022-11-23T01:32:37.3449993Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3450062Z import torch
2022-11-23T01:32:37.3450131Z import random
2022-11-23T01:32:37.3450244Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3450362Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3450367Z 
2022-11-23T01:32:37.3450470Z aten = torch.ops.aten
2022-11-23T01:32:37.3450605Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3450683Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3450688Z 
2022-11-23T01:32:37.3450704Z 
2022-11-23T01:32:37.3450822Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3451027Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3451145Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3451248Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.3451308Z {
2022-11-23T01:32:37.3451404Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3451465Z     {
2022-11-23T01:32:37.3451542Z         #pragma omp for  collapse(2)
2022-11-23T01:32:37.3451623Z         for(long i0=0; i0<3; i0+=1)
2022-11-23T01:32:37.3451685Z         {
2022-11-23T01:32:37.3451772Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:32:37.3451835Z             {
2022-11-23T01:32:37.3451901Z                 {
2022-11-23T01:32:37.3451954Z                     {
2022-11-23T01:32:37.3452055Z                         auto tmp0 = in_ptr0[i0 + (3*i1)];
2022-11-23T01:32:37.3452151Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:32:37.3452218Z                     }
2022-11-23T01:32:37.3452281Z                 }
2022-11-23T01:32:37.3452343Z             }
2022-11-23T01:32:37.3452406Z         }
2022-11-23T01:32:37.3452453Z     }
2022-11-23T01:32:37.3452513Z }
2022-11-23T01:32:37.3452591Z ''')
2022-11-23T01:32:37.3452596Z 
2022-11-23T01:32:37.3452600Z 
2022-11-23T01:32:37.3452732Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.3452933Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3453048Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.3453150Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3453253Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.3453341Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.3453444Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.3453505Z {
2022-11-23T01:32:37.3453602Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3453664Z     {
2022-11-23T01:32:37.3453740Z         #pragma omp for 
2022-11-23T01:32:37.3453823Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.3453873Z         {
2022-11-23T01:32:37.3453963Z             for(long i1=0; i1<8290; i1+=1)
2022-11-23T01:32:37.3454026Z             {
2022-11-23T01:32:37.3454174Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (132651*i0));
2022-11-23T01:32:37.3454301Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.3454423Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.3454548Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.3454672Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.3454789Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3454995Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.3455084Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3455171Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.3455271Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.3455436Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.3455522Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3455598Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3455689Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3455779Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3455888Z                 tmp14.store(in_out_ptr0 + (16*i1) + (132651*i0));
2022-11-23T01:32:37.3455991Z             }
2022-11-23T01:32:37.3456084Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.3456175Z             for(long i1=132640; i1<132651; i1+=1)
2022-11-23T01:32:37.3456226Z             {
2022-11-23T01:32:37.3456331Z                 auto tmp0 = in_out_ptr0[i1 + (132651*i0)];
2022-11-23T01:32:37.3456418Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.3456503Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.3456591Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.3456681Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.3456812Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3456953Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.3457043Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3457140Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.3457222Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.3457322Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.3457411Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3457498Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3457576Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3457663Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3457760Z                 in_out_ptr0[i1 + (132651*i0)] = tmp14;
2022-11-23T01:32:37.3457828Z             }
2022-11-23T01:32:37.3457891Z         }
2022-11-23T01:32:37.3457954Z     }
2022-11-23T01:32:37.3458014Z }
2022-11-23T01:32:37.3458081Z ''')
2022-11-23T01:32:37.3458086Z 
2022-11-23T01:32:37.3458104Z 
2022-11-23T01:32:37.3458181Z async_compile.wait(globals())
2022-11-23T01:32:37.3458253Z del async_compile
2022-11-23T01:32:37.3458258Z 
2022-11-23T01:32:37.3458327Z def call(args):
2022-11-23T01:32:37.3458438Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.3458508Z     args.clear()
2022-11-23T01:32:37.3458747Z     buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3458881Z     kernel_cpp_0(c_void_p(arg6_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.3458936Z     del arg6_1
2022-11-23T01:32:37.3459078Z     buf1 = aten.convolution(buf0, arg0_1, None, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1)
2022-11-23T01:32:37.3459191Z     assert_size_stride(buf1, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1))
2022-11-23T01:32:37.3459258Z     del arg0_1
2022-11-23T01:32:37.3459323Z     del buf0
2022-11-23T01:32:37.3459450Z     buf2 = as_strided(buf1, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1)); del buf1  # reuse
2022-11-23T01:32:37.3459657Z     kernel_cpp_1(c_void_p(buf2.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.3459723Z     del arg1_1
2022-11-23T01:32:37.3459776Z     del arg2_1
2022-11-23T01:32:37.3459840Z     del arg3_1
2022-11-23T01:32:37.3459904Z     del arg4_1
2022-11-23T01:32:37.3459977Z     return (buf2, )
2022-11-23T01:32:37.3459981Z 
2022-11-23T01:32:37.3459986Z 
2022-11-23T01:32:37.3460064Z if __name__ == "__main__":
2022-11-23T01:32:37.3460177Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3460297Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3460504Z     arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3460697Z     arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3460921Z     arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3461104Z     arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3461290Z     arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3461466Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3461720Z     arg6_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3461867Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.3462226Z [2022-11-23 01:19:06,215] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sg/csgnzlegz3l5m464msbxxfp3ufzk2xranphpogap5welglobskvi.py
2022-11-23T01:32:37.3462491Z [2022-11-23 01:19:06,215] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 141
2022-11-23T01:32:37.3462727Z [2022-11-23 01:19:08,123] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3462992Z [2022-11-23 01:19:08,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3463206Z [2022-11-23 01:19:08,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3463447Z [2022-11-23 01:19:08,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.3463718Z [2022-11-23 01:19:08,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.3464032Z [2022-11-23 01:19:08,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3464277Z [2022-11-23 01:19:08,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.3464599Z [2022-11-23 01:19:08,159] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3464845Z [2022-11-23 01:19:08,161] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3465091Z [2022-11-23 01:19:08,191] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3465282Z [2022-11-23 01:19:08,191] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3465414Z  __compiled_fn_143 <eval_with_key>.912 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3465506Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3465606Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.3465709Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.3465809Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.3465814Z 
2022-11-23T01:32:37.3466080Z [2022-11-23 01:19:08,191] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3466175Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3466267Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3466360Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3466451Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3466527Z               8 RETURN_VALUE
2022-11-23T01:32:37.3466533Z 
2022-11-23T01:32:37.3466593Z  
2022-11-23T01:32:37.3466871Z [2022-11-23 01:19:08,191] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3466965Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_143)
2022-11-23T01:32:37.3467053Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3467141Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3467218Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3467305Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.3467431Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.3467506Z              12 RETURN_VALUE
2022-11-23T01:32:37.3467511Z 
2022-11-23T01:32:37.3467558Z  
2022-11-23T01:32:37.3467738Z [2022-11-23 01:19:08,193] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3467806Z  - 
2022-11-23T01:32:37.3467923Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3467989Z             {
2022-11-23T01:32:37.3468129Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3468338Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.3468444Z                 'obj_weakref': None
2022-11-23T01:32:37.3468667Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3468729Z             }
2022-11-23T01:32:37.3468792Z             
2022-11-23T01:32:37.3468859Z  - 
2022-11-23T01:32:37.3468980Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3469042Z             {
2022-11-23T01:32:37.3469173Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3469280Z                 'code': None,
2022-11-23T01:32:37.3469487Z                 'obj_weakref': <weakref at 0x7f710636ce90; to 'Tensor' at 0x7f71c221a890>
2022-11-23T01:32:37.3469733Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3469796Z             }
2022-11-23T01:32:37.3469857Z             
2022-11-23T01:32:37.3469927Z  - 
2022-11-23T01:32:37.3470033Z             local 'model' NN_MODULE
2022-11-23T01:32:37.3470096Z             {
2022-11-23T01:32:37.3470228Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3470393Z                 'code': ['___check_obj_id(model, 140123422976144)'],
2022-11-23T01:32:37.3470610Z                 'obj_weakref': <weakref at 0x7f70f28b2ad0; to 'Sequential' at 0x7f7106d9e890>
2022-11-23T01:32:37.3470839Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.3470903Z             }
2022-11-23T01:32:37.3470953Z             
2022-11-23T01:32:37.3471020Z  - 
2022-11-23T01:32:37.3471140Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3471203Z             {
2022-11-23T01:32:37.3471336Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3471550Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3471669Z                 'obj_weakref': None
2022-11-23T01:32:37.3471873Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3471935Z             }
2022-11-23T01:32:37.3471997Z             
2022-11-23T01:32:37.3472067Z  - 
2022-11-23T01:32:37.3472211Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.3472272Z             {
2022-11-23T01:32:37.3472389Z                 'guard_types': None,
2022-11-23T01:32:37.3472482Z                 'code': None,
2022-11-23T01:32:37.3472599Z                 'obj_weakref': None
2022-11-23T01:32:37.3472720Z                 'guarded_class': None
2022-11-23T01:32:37.3472783Z             }
2022-11-23T01:32:37.3472845Z             
2022-11-23T01:32:37.3472912Z  - 
2022-11-23T01:32:37.3473054Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.3473104Z             {
2022-11-23T01:32:37.3473221Z                 'guard_types': None,
2022-11-23T01:32:37.3473326Z                 'code': None,
2022-11-23T01:32:37.3473445Z                 'obj_weakref': None
2022-11-23T01:32:37.3473564Z                 'guarded_class': None
2022-11-23T01:32:37.3473626Z             }
2022-11-23T01:32:37.3473688Z             
2022-11-23T01:32:37.3473935Z [2022-11-23 01:19:08,245] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 142
2022-11-23T01:32:37.3474300Z [2022-11-23 01:19:08,278] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/u7/cu7txiqpsdy3y5olc5eftdkdewire66z4kjhigsfxfdgogufv7ln.py
2022-11-23T01:32:37.3474605Z [2022-11-23 01:19:08,279] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 142
2022-11-23T01:32:37.3474840Z [2022-11-23 01:19:13,134] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3475104Z [2022-11-23 01:19:13,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3475364Z [2022-11-23 01:19:13,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3475606Z [2022-11-23 01:19:13,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.3475884Z [2022-11-23 01:19:13,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.3476197Z [2022-11-23 01:19:13,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3476431Z [2022-11-23 01:19:13,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.3476664Z [2022-11-23 01:19:13,169] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3476918Z [2022-11-23 01:19:13,171] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3477295Z [2022-11-23 01:19:13,200] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3477486Z [2022-11-23 01:19:13,200] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3477620Z  __compiled_fn_144 <eval_with_key>.918 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3477711Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3477813Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.3477902Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.3478001Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.3478009Z 
2022-11-23T01:32:37.3478283Z [2022-11-23 01:19:13,201] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3478378Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3478468Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3478560Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3478655Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3478732Z               8 RETURN_VALUE
2022-11-23T01:32:37.3478737Z 
2022-11-23T01:32:37.3478786Z  
2022-11-23T01:32:37.3479062Z [2022-11-23 01:19:13,201] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3479168Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_144)
2022-11-23T01:32:37.3479257Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3479346Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3479423Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3479510Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.3479587Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.3479661Z              12 RETURN_VALUE
2022-11-23T01:32:37.3479666Z 
2022-11-23T01:32:37.3479727Z  
2022-11-23T01:32:37.3479906Z [2022-11-23 01:19:13,202] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3479975Z  - 
2022-11-23T01:32:37.3480093Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3480157Z             {
2022-11-23T01:32:37.3480295Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3480467Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.3480584Z                 'obj_weakref': None
2022-11-23T01:32:37.3480804Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3480868Z             }
2022-11-23T01:32:37.3480983Z             
2022-11-23T01:32:37.3481052Z  - 
2022-11-23T01:32:37.3481176Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3481226Z             {
2022-11-23T01:32:37.3481369Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3481476Z                 'code': None,
2022-11-23T01:32:37.3481682Z                 'obj_weakref': <weakref at 0x7f710636cb90; to 'Tensor' at 0x7f71069ad2f0>
2022-11-23T01:32:37.3481963Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3482029Z             }
2022-11-23T01:32:37.3482094Z             
2022-11-23T01:32:37.3482150Z  - 
2022-11-23T01:32:37.3482270Z             local 'model' NN_MODULE
2022-11-23T01:32:37.3482333Z             {
2022-11-23T01:32:37.3482469Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3482636Z                 'code': ['___check_obj_id(model, 140123422976144)'],
2022-11-23T01:32:37.3482851Z                 'obj_weakref': <weakref at 0x7f70f28b2ad0; to 'Sequential' at 0x7f7106d9e890>
2022-11-23T01:32:37.3483084Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.3483135Z             }
2022-11-23T01:32:37.3483196Z             
2022-11-23T01:32:37.3483266Z  - 
2022-11-23T01:32:37.3483385Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3483448Z             {
2022-11-23T01:32:37.3483580Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3483794Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3483899Z                 'obj_weakref': None
2022-11-23T01:32:37.3484114Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3484176Z             }
2022-11-23T01:32:37.3484238Z             
2022-11-23T01:32:37.3484307Z  - 
2022-11-23T01:32:37.3484450Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.3484514Z             {
2022-11-23T01:32:37.3484619Z                 'guard_types': None,
2022-11-23T01:32:37.3484723Z                 'code': None,
2022-11-23T01:32:37.3484839Z                 'obj_weakref': None
2022-11-23T01:32:37.3484958Z                 'guarded_class': None
2022-11-23T01:32:37.3485021Z             }
2022-11-23T01:32:37.3485082Z             
2022-11-23T01:32:37.3485137Z  - 
2022-11-23T01:32:37.3485279Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.3485344Z             {
2022-11-23T01:32:37.3485461Z                 'guard_types': None,
2022-11-23T01:32:37.3485565Z                 'code': None,
2022-11-23T01:32:37.3485681Z                 'obj_weakref': None
2022-11-23T01:32:37.3485801Z                 'guarded_class': None
2022-11-23T01:32:37.3485850Z             }
2022-11-23T01:32:37.3485911Z             
2022-11-23T01:32:37.3486170Z [2022-11-23 01:19:13,256] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 143
2022-11-23T01:32:37.3486178Z 
2022-11-23T01:32:37.3486182Z 
2022-11-23T01:32:37.3486274Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3486340Z import torch
2022-11-23T01:32:37.3486408Z import random
2022-11-23T01:32:37.3486522Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3486642Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3486647Z 
2022-11-23T01:32:37.3486711Z aten = torch.ops.aten
2022-11-23T01:32:37.3486845Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3486937Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3486942Z 
2022-11-23T01:32:37.3486946Z 
2022-11-23T01:32:37.3487077Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3487280Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3487396Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.3487500Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3487627Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.3487717Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.3487817Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.3487878Z {
2022-11-23T01:32:37.3487975Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3488037Z     {
2022-11-23T01:32:37.3488114Z         #pragma omp for 
2022-11-23T01:32:37.3488196Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.3488272Z         {
2022-11-23T01:32:37.3488361Z             for(long i1=0; i1<8290; i1+=1)
2022-11-23T01:32:37.3488424Z             {
2022-11-23T01:32:37.3488577Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (132651*i0));
2022-11-23T01:32:37.3488701Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.3488822Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.3488944Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.3489064Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.3489181Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3489384Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.3489471Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3489557Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.3489656Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.3489788Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.3489875Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3489951Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3490044Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3490133Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3490241Z                 tmp14.store(in_out_ptr0 + (16*i1) + (132651*i0));
2022-11-23T01:32:37.3490309Z             }
2022-11-23T01:32:37.3490401Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.3490494Z             for(long i1=132640; i1<132651; i1+=1)
2022-11-23T01:32:37.3490545Z             {
2022-11-23T01:32:37.3490648Z                 auto tmp0 = in_out_ptr0[i1 + (132651*i0)];
2022-11-23T01:32:37.3490735Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.3490820Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.3490910Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.3490998Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.3491124Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3491280Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.3491353Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3491450Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.3491533Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.3491633Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.3491721Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3491808Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3491901Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3491978Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3492077Z                 in_out_ptr0[i1 + (132651*i0)] = tmp14;
2022-11-23T01:32:37.3492141Z             }
2022-11-23T01:32:37.3492205Z         }
2022-11-23T01:32:37.3492270Z     }
2022-11-23T01:32:37.3492332Z }
2022-11-23T01:32:37.3492396Z ''')
2022-11-23T01:32:37.3492415Z 
2022-11-23T01:32:37.3492420Z 
2022-11-23T01:32:37.3492497Z async_compile.wait(globals())
2022-11-23T01:32:37.3492571Z del async_compile
2022-11-23T01:32:37.3492576Z 
2022-11-23T01:32:37.3492648Z def call(args):
2022-11-23T01:32:37.3492761Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.3492834Z     args.clear()
2022-11-23T01:32:37.3492976Z     buf0 = aten.convolution(arg6_1, arg0_1, None, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2022-11-23T01:32:37.3493129Z     assert_size_stride(buf0, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1))
2022-11-23T01:32:37.3493185Z     del arg0_1
2022-11-23T01:32:37.3493251Z     del arg6_1
2022-11-23T01:32:37.3493379Z     buf1 = as_strided(buf0, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1)); del buf0  # reuse
2022-11-23T01:32:37.3493619Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.3493688Z     del arg1_1
2022-11-23T01:32:37.3493753Z     del arg2_1
2022-11-23T01:32:37.3493818Z     del arg3_1
2022-11-23T01:32:37.3493888Z     del arg4_1
2022-11-23T01:32:37.3493947Z     return (buf1, )
2022-11-23T01:32:37.3493952Z 
2022-11-23T01:32:37.3493956Z 
2022-11-23T01:32:37.3494033Z if __name__ == "__main__":
2022-11-23T01:32:37.3494147Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3494271Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3494493Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3494688Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3494881Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3495077Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3495252Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3495432Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3495665Z     arg6_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3495811Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.3495818Z 
2022-11-23T01:32:37.3495823Z 
2022-11-23T01:32:37.3495917Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3495987Z import torch
2022-11-23T01:32:37.3496059Z import random
2022-11-23T01:32:37.3496173Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3496281Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3496286Z 
2022-11-23T01:32:37.3496362Z aten = torch.ops.aten
2022-11-23T01:32:37.3496496Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3496585Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3496590Z 
2022-11-23T01:32:37.3496594Z 
2022-11-23T01:32:37.3496725Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3496930Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3497046Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3497144Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.3497193Z {
2022-11-23T01:32:37.3497289Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3497350Z     {
2022-11-23T01:32:37.3497426Z         #pragma omp for 
2022-11-23T01:32:37.3497507Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:37.3497570Z         {
2022-11-23T01:32:37.3497648Z             #pragma GCC ivdep
2022-11-23T01:32:37.3497726Z             for(long i1=0; i1<166375; i1+=1)
2022-11-23T01:32:37.3497788Z             {
2022-11-23T01:32:37.3497852Z                 {
2022-11-23T01:32:37.3497920Z                     {
2022-11-23T01:32:37.3498023Z                         auto tmp0 = in_ptr0[i0 + (12*i1)];
2022-11-23T01:32:37.3498120Z                         out_ptr0[i1 + (166375*i0)] = tmp0;
2022-11-23T01:32:37.3498173Z                     }
2022-11-23T01:32:37.3498235Z                 }
2022-11-23T01:32:37.3498297Z             }
2022-11-23T01:32:37.3498358Z         }
2022-11-23T01:32:37.3498418Z     }
2022-11-23T01:32:37.3498477Z }
2022-11-23T01:32:37.3498554Z ''')
2022-11-23T01:32:37.3498588Z 
2022-11-23T01:32:37.3498592Z 
2022-11-23T01:32:37.3498713Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.3498914Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3499028Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.3499131Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3499232Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.3499360Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.3499461Z                        const float* __restrict__ in_ptr3)
2022-11-23T01:32:37.3499521Z {
2022-11-23T01:32:37.3499605Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3499664Z     {
2022-11-23T01:32:37.3499741Z         #pragma omp for 
2022-11-23T01:32:37.3499822Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.3499887Z         {
2022-11-23T01:32:37.3499975Z             for(long i1=0; i1<8290; i1+=1)
2022-11-23T01:32:37.3500027Z             {
2022-11-23T01:32:37.3500179Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + (16*i1) + (132651*i0));
2022-11-23T01:32:37.3500303Z                 auto tmp1 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.3500422Z                 auto tmp3 = at::vec::Vectorized<float>(in_ptr1[i0]);
2022-11-23T01:32:37.3500544Z                 auto tmp11 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:37.3500665Z                 auto tmp13 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:37.3500794Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3500996Z                 auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.3501083Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3501158Z                 auto tmp6 = tmp5.sqrt();
2022-11-23T01:32:37.3501256Z                 auto tmp7 = tmp6.reciprocal();
2022-11-23T01:32:37.3501388Z                 auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.3501475Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3501561Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3501651Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3501740Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3501836Z                 tmp14.store(in_out_ptr0 + (16*i1) + (132651*i0));
2022-11-23T01:32:37.3501899Z             }
2022-11-23T01:32:37.3501992Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.3502083Z             for(long i1=132640; i1<132651; i1+=1)
2022-11-23T01:32:37.3502148Z             {
2022-11-23T01:32:37.3502250Z                 auto tmp0 = in_out_ptr0[i1 + (132651*i0)];
2022-11-23T01:32:37.3502335Z                 auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.3502407Z                 auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.3502494Z                 auto tmp11 = in_ptr2[i0];
2022-11-23T01:32:37.3502580Z                 auto tmp13 = in_ptr3[i0];
2022-11-23T01:32:37.3502708Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.3502863Z                 auto tmp4 = static_cast<float>(1e-05);
2022-11-23T01:32:37.3502947Z                 auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.3503041Z                 auto tmp6 = std::sqrt(tmp5);
2022-11-23T01:32:37.3503110Z                 auto tmp7 = 1 / tmp6;
2022-11-23T01:32:37.3503208Z                 auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.3503294Z                 auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.3503379Z                 auto tmp10 = tmp2 * tmp9;
2022-11-23T01:32:37.3503469Z                 auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.3503557Z                 auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.3503653Z                 in_out_ptr0[i1 + (132651*i0)] = tmp14;
2022-11-23T01:32:37.3503716Z             }
2022-11-23T01:32:37.3503766Z         }
2022-11-23T01:32:37.3503830Z     }
2022-11-23T01:32:37.3503890Z }
2022-11-23T01:32:37.3503967Z ''')
2022-11-23T01:32:37.3504000Z 
2022-11-23T01:32:37.3504004Z 
2022-11-23T01:32:37.3504096Z async_compile.wait(globals())
2022-11-23T01:32:37.3504169Z del async_compile
2022-11-23T01:32:37.3504173Z 
2022-11-23T01:32:37.3504242Z def call(args):
2022-11-23T01:32:37.3504339Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1 = args
2022-11-23T01:32:37.3504410Z     args.clear()
2022-11-23T01:32:37.3504840Z     buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3504977Z     kernel_cpp_0(c_void_p(arg6_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.3505045Z     del arg6_1
2022-11-23T01:32:37.3505187Z     buf1 = aten.convolution(buf0, arg0_1, None, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4)
2022-11-23T01:32:37.3505306Z     assert_size_stride(buf1, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1))
2022-11-23T01:32:37.3505360Z     del arg0_1
2022-11-23T01:32:37.3505426Z     del buf0
2022-11-23T01:32:37.3505554Z     buf2 = as_strided(buf1, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1)); del buf1  # reuse
2022-11-23T01:32:37.3505768Z     kernel_cpp_1(c_void_p(buf2.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.3505838Z     del arg1_1
2022-11-23T01:32:37.3505903Z     del arg2_1
2022-11-23T01:32:37.3505969Z     del arg3_1
2022-11-23T01:32:37.3506036Z     del arg4_1
2022-11-23T01:32:37.3506096Z     return (buf2, )
2022-11-23T01:32:37.3506101Z 
2022-11-23T01:32:37.3506105Z 
2022-11-23T01:32:37.3506182Z if __name__ == "__main__":
2022-11-23T01:32:37.3506299Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3506424Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3506645Z     arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3506840Z     arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3507034Z     arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3507222Z     arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3507401Z     arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3507579Z     arg5_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3507814Z     arg6_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3507962Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1]))
2022-11-23T01:32:37.3508339Z [2022-11-23 01:19:13,297] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ep/cepxnqab3o6dz5fvc46mk5pqqmsda54pzjtpipvebcxyk3rt5bv4.py
2022-11-23T01:32:37.3508604Z [2022-11-23 01:19:13,297] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 143
2022-11-23T01:32:37.3508611Z 
2022-11-23T01:32:37.3508678Z ok (181.366s)
2022-11-23T01:32:37.3508986Z   test_convolution1_cpu (__main__.CpuTests) ... [2022-11-23 01:19:17,178] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3509250Z [2022-11-23 01:19:17,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3509453Z [2022-11-23 01:19:17,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3509697Z [2022-11-23 01:19:17,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.3509970Z [2022-11-23 01:19:17,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.3510285Z [2022-11-23 01:19:17,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3510618Z [2022-11-23 01:19:17,189] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f64bb810, file "inductor/test_torchinductor.py", line 169> 
2022-11-23T01:32:37.3510744Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:32:37.3510834Z               2 BUILD_TUPLE              1
2022-11-23T01:32:37.3510909Z               4 RETURN_VALUE
2022-11-23T01:32:37.3510956Z  
2022-11-23T01:32:37.3510973Z 
2022-11-23T01:32:37.3511265Z [2022-11-23 01:19:17,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:170
2022-11-23T01:32:37.3511475Z [2022-11-23 01:19:17,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.3511714Z [2022-11-23 01:19:17,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:37.3511954Z [2022-11-23 01:19:17,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3512288Z [2022-11-23 01:19:17,189] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f64bb810, file "inductor/test_torchinductor.py", line 169>
2022-11-23T01:32:37.3512533Z [2022-11-23 01:19:17,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3512765Z [2022-11-23 01:19:17,190] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3513017Z [2022-11-23 01:19:17,191] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3513265Z [2022-11-23 01:19:17,201] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3513437Z [2022-11-23 01:19:17,202] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3513569Z  __compiled_fn_145 <eval_with_key>.924 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3513658Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3513756Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.3513858Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.3513956Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.3513961Z 
2022-11-23T01:32:37.3514234Z [2022-11-23 01:19:17,202] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3514326Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3514404Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3514497Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3514587Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3514663Z               8 RETURN_VALUE
2022-11-23T01:32:37.3514668Z 
2022-11-23T01:32:37.3514729Z  
2022-11-23T01:32:37.3515004Z [2022-11-23 01:19:17,202] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3515115Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_145)
2022-11-23T01:32:37.3515194Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3515282Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3515357Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3515443Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.3515544Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.3515643Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3515733Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3515797Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.3515885Z              18 BUILD_TUPLE              1
2022-11-23T01:32:37.3515959Z              20 RETURN_VALUE
2022-11-23T01:32:37.3515964Z 
2022-11-23T01:32:37.3516024Z  
2022-11-23T01:32:37.3516205Z [2022-11-23 01:19:17,203] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3516277Z  - 
2022-11-23T01:32:37.3516393Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3516445Z             {
2022-11-23T01:32:37.3516615Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3516799Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.3516917Z                 'obj_weakref': None
2022-11-23T01:32:37.3517276Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3517342Z             }
2022-11-23T01:32:37.3517406Z             
2022-11-23T01:32:37.3517477Z  - 
2022-11-23T01:32:37.3517647Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3517711Z             {
2022-11-23T01:32:37.3517855Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3517962Z                 'code': None,
2022-11-23T01:32:37.3518169Z                 'obj_weakref': <weakref at 0x7f710636c350; to 'Tensor' at 0x7f7106bd14d0>
2022-11-23T01:32:37.3518419Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3518485Z             }
2022-11-23T01:32:37.3518537Z             
2022-11-23T01:32:37.3518606Z  - 
2022-11-23T01:32:37.3518727Z             local 'model' NN_MODULE
2022-11-23T01:32:37.3518791Z             {
2022-11-23T01:32:37.3518925Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3519096Z                 'code': ['___check_obj_id(model, 140123421016144)'],
2022-11-23T01:32:37.3519312Z                 'obj_weakref': <weakref at 0x7f710699ead0; to 'Sequential' at 0x7f7106bc0050>
2022-11-23T01:32:37.3519534Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.3519598Z             }
2022-11-23T01:32:37.3519662Z             
2022-11-23T01:32:37.3519731Z  - 
2022-11-23T01:32:37.3519852Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3519916Z             {
2022-11-23T01:32:37.3520051Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3520254Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3520376Z                 'obj_weakref': None
2022-11-23T01:32:37.3520597Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3520661Z             }
2022-11-23T01:32:37.3520725Z             
2022-11-23T01:32:37.3520792Z  - 
2022-11-23T01:32:37.3520937Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.3520987Z             {
2022-11-23T01:32:37.3521108Z                 'guard_types': None,
2022-11-23T01:32:37.3521212Z                 'code': None,
2022-11-23T01:32:37.3521327Z                 'obj_weakref': None
2022-11-23T01:32:37.3521446Z                 'guarded_class': None
2022-11-23T01:32:37.3521510Z             }
2022-11-23T01:32:37.3521559Z             
2022-11-23T01:32:37.3521626Z  - 
2022-11-23T01:32:37.3521767Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.3521828Z             {
2022-11-23T01:32:37.3521946Z                 'guard_types': None,
2022-11-23T01:32:37.3522052Z                 'code': None,
2022-11-23T01:32:37.3522167Z                 'obj_weakref': None
2022-11-23T01:32:37.3522273Z                 'guarded_class': None
2022-11-23T01:32:37.3522337Z             }
2022-11-23T01:32:37.3522399Z             
2022-11-23T01:32:37.3522467Z  - 
2022-11-23T01:32:37.3522608Z             local_nn_module 'model[2]' NN_MODULE
2022-11-23T01:32:37.3522668Z             {
2022-11-23T01:32:37.3522784Z                 'guard_types': None,
2022-11-23T01:32:37.3522878Z                 'code': None,
2022-11-23T01:32:37.3522992Z                 'obj_weakref': None
2022-11-23T01:32:37.3523109Z                 'guarded_class': None
2022-11-23T01:32:37.3523171Z             }
2022-11-23T01:32:37.3523234Z             
2022-11-23T01:32:37.3523494Z [2022-11-23 01:19:17,250] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 144
2022-11-23T01:32:37.3523860Z [2022-11-23 01:19:19,789] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h6/ch6w4hfwr5hznuqo27x5c7nzacoetpmxdnua34kc7xtmwnz3pa3q.py
2022-11-23T01:32:37.3524149Z [2022-11-23 01:19:19,789] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 144
2022-11-23T01:32:37.3524169Z 
2022-11-23T01:32:37.3524251Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3524318Z import torch
2022-11-23T01:32:37.3524385Z import random
2022-11-23T01:32:37.3524499Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3524651Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3524657Z 
2022-11-23T01:32:37.3524734Z aten = torch.ops.aten
2022-11-23T01:32:37.3524867Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3524946Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3524950Z 
2022-11-23T01:32:37.3524966Z 
2022-11-23T01:32:37.3525086Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3525291Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3525412Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.3525511Z                        bool* __restrict__ out_ptr0)
2022-11-23T01:32:37.3525573Z {
2022-11-23T01:32:37.3525672Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3525735Z     {
2022-11-23T01:32:37.3525800Z         #pragma omp for 
2022-11-23T01:32:37.3525885Z         for(long i0=0; i0<2352; i0+=1)
2022-11-23T01:32:37.3525947Z         {
2022-11-23T01:32:37.3526013Z             {
2022-11-23T01:32:37.3526078Z                 {
2022-11-23T01:32:37.3526176Z                     auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:37.3526257Z                     auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:32:37.3526362Z                     auto tmp2 = static_cast<float>(0);
2022-11-23T01:32:37.3526456Z                     auto tmp3 = tmp1 <= tmp2;
2022-11-23T01:32:37.3526546Z                     in_out_ptr0[i0] = tmp1;
2022-11-23T01:32:37.3526631Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:37.3526699Z                 }
2022-11-23T01:32:37.3526762Z             }
2022-11-23T01:32:37.3526811Z         }
2022-11-23T01:32:37.3526873Z     }
2022-11-23T01:32:37.3526934Z }
2022-11-23T01:32:37.3527011Z ''')
2022-11-23T01:32:37.3527016Z 
2022-11-23T01:32:37.3527021Z 
2022-11-23T01:32:37.3527110Z async_compile.wait(globals())
2022-11-23T01:32:37.3527186Z del async_compile
2022-11-23T01:32:37.3527190Z 
2022-11-23T01:32:37.3527262Z def call(args):
2022-11-23T01:32:37.3527351Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:32:37.3527425Z     args.clear()
2022-11-23T01:32:37.3527577Z     buf0 = aten.convolution(primals_3, primals_1, primals_2, (1, 1), (0, 0), (1, 1), False, (0, 0), 1)
2022-11-23T01:32:37.3527687Z     assert_size_stride(buf0, (2, 6, 14, 14), (1176, 196, 14, 1))
2022-11-23T01:32:37.3527759Z     del primals_2
2022-11-23T01:32:37.3527880Z     buf1 = as_strided(buf0, (2, 6, 14, 14), (1176, 196, 14, 1)); del buf0  # reuse
2022-11-23T01:32:37.3528094Z     buf2 = empty_strided((2, 6, 14, 14), (1176, 196, 14, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.3528230Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:37.3528322Z     return (buf1, primals_1, primals_3, buf2, )
2022-11-23T01:32:37.3528327Z 
2022-11-23T01:32:37.3528346Z 
2022-11-23T01:32:37.3528409Z if __name__ == "__main__":
2022-11-23T01:32:37.3528522Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3528646Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3528865Z     primals_1 = rand_strided((6, 5, 3, 3), (45, 9, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3529067Z     primals_2 = rand_strided((6, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3529290Z     primals_3 = rand_strided((2, 5, 16, 16), (1280, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3529427Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:32:37.3529432Z 
2022-11-23T01:32:37.3529530Z ok (2.624s)
2022-11-23T01:32:37.3529834Z   test_convolution2_cpu (__main__.CpuTests) ... [2022-11-23 01:19:19,807] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3530104Z [2022-11-23 01:19:19,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3530320Z [2022-11-23 01:19:19,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3530605Z [2022-11-23 01:19:19,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.3530889Z [2022-11-23 01:19:19,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.3531213Z [2022-11-23 01:19:19,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3531536Z [2022-11-23 01:19:19,808] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6406c90, file "inductor/test_torchinductor.py", line 1825> 
2022-11-23T01:32:37.3531636Z  1827           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3537168Z                2 LOAD_METHOD              1 (convolution)
2022-11-23T01:32:37.3537284Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.3537379Z                6 LOAD_FAST                1 (w)
2022-11-23T01:32:37.3537473Z                8 LOAD_FAST                2 (b)
2022-11-23T01:32:37.3537564Z               10 LOAD_CONST               1 (4)
2022-11-23T01:32:37.3537653Z               12 BUILD_LIST               1
2022-11-23T01:32:37.3537741Z               14 LOAD_CONST               2 (0)
2022-11-23T01:32:37.3537829Z               16 BUILD_LIST               1
2022-11-23T01:32:37.3537904Z               18 LOAD_CONST               3 (1)
2022-11-23T01:32:37.3537988Z               20 BUILD_LIST               1
2022-11-23T01:32:37.3538082Z               22 LOAD_CONST               4 (True)
2022-11-23T01:32:37.3538171Z               24 LOAD_CONST               2 (0)
2022-11-23T01:32:37.3538256Z               26 BUILD_LIST               1
2022-11-23T01:32:37.3538343Z               28 LOAD_CONST               3 (1)
2022-11-23T01:32:37.3538427Z               30 CALL_METHOD              9
2022-11-23T01:32:37.3538503Z               32 BUILD_TUPLE              1
2022-11-23T01:32:37.3538579Z               34 RETURN_VALUE
2022-11-23T01:32:37.3538639Z  
2022-11-23T01:32:37.3538649Z 
2022-11-23T01:32:37.3538955Z [2022-11-23 01:19:19,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1827
2022-11-23T01:32:37.3539176Z [2022-11-23 01:19:19,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.3539496Z [2022-11-23 01:19:19,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3539759Z [2022-11-23 01:19:19,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.convolution)]
2022-11-23T01:32:37.3540050Z [2022-11-23 01:19:19,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [TorchVariable(aten.convolution), TensorVariable()]
2022-11-23T01:32:37.3540373Z [2022-11-23 01:19:19,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.convolution), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3540715Z [2022-11-23 01:19:19,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3541107Z [2022-11-23 01:19:19,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.3541480Z [2022-11-23 01:19:19,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.3541965Z [2022-11-23 01:19:19,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.3542398Z [2022-11-23 01:19:19,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.3542836Z [2022-11-23 01:19:19,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.3543260Z [2022-11-23 01:19:19,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.3543724Z [2022-11-23 01:19:19,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.3544221Z [2022-11-23 01:19:19,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T01:32:37.3544797Z [2022-11-23 01:19:19,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()]
2022-11-23T01:32:37.3545329Z [2022-11-23 01:19:19,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 9 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.3545580Z [2022-11-23 01:19:19,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:37.3545827Z [2022-11-23 01:19:19,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3546163Z [2022-11-23 01:19:19,825] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6406c90, file "inductor/test_torchinductor.py", line 1825>
2022-11-23T01:32:37.3546410Z [2022-11-23 01:19:19,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3546632Z [2022-11-23 01:19:19,825] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3546887Z [2022-11-23 01:19:19,827] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3547139Z [2022-11-23 01:19:19,834] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3547326Z [2022-11-23 01:19:19,834] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3547461Z  __compiled_fn_146 <eval_with_key>.935 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3547551Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3547640Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.3547724Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.3547866Z call_function, convolution, aten.convolution, (ex_0_, ex_1_, ex_2_, [4], [0], [1], True, [0], 1), {}
2022-11-23T01:32:37.3547974Z output, output, output, ((convolution,),), {}
2022-11-23T01:32:37.3547980Z 
2022-11-23T01:32:37.3548256Z [2022-11-23 01:19:19,835] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3548348Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3548470Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3548565Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3548654Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3548730Z               8 RETURN_VALUE
2022-11-23T01:32:37.3548736Z 
2022-11-23T01:32:37.3548784Z  
2022-11-23T01:32:37.3549087Z [2022-11-23 01:19:19,835] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3549196Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_146)
2022-11-23T01:32:37.3549285Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3549375Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3549453Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3549540Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3549626Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.3549689Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.3549778Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3549865Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.3549940Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.3550027Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.3550135Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.3550235Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3550312Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3550387Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.3550472Z              30 BUILD_TUPLE              1
2022-11-23T01:32:37.3550547Z              32 RETURN_VALUE
2022-11-23T01:32:37.3550553Z 
2022-11-23T01:32:37.3550614Z  
2022-11-23T01:32:37.3550796Z [2022-11-23 01:19:19,837] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3550864Z  - 
2022-11-23T01:32:37.3550971Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3551036Z             {
2022-11-23T01:32:37.3551175Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3551362Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 3'],
2022-11-23T01:32:37.3551479Z                 'obj_weakref': None
2022-11-23T01:32:37.3551704Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3551768Z             }
2022-11-23T01:32:37.3551817Z             
2022-11-23T01:32:37.3551888Z  - 
2022-11-23T01:32:37.3552012Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3552076Z             {
2022-11-23T01:32:37.3552214Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3552319Z                 'code': None,
2022-11-23T01:32:37.3552524Z                 'obj_weakref': <weakref at 0x7f710636ce30; to 'Tensor' at 0x7f719bfffd10>
2022-11-23T01:32:37.3552760Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3552829Z             }
2022-11-23T01:32:37.3552892Z             
2022-11-23T01:32:37.3552959Z  - 
2022-11-23T01:32:37.3553079Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.3553146Z             {
2022-11-23T01:32:37.3553284Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3553376Z                 'code': None,
2022-11-23T01:32:37.3553579Z                 'obj_weakref': <weakref at 0x7f71070c2890; to 'Tensor' at 0x7f7106df0cb0>
2022-11-23T01:32:37.3553823Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3553885Z             }
2022-11-23T01:32:37.3553946Z             
2022-11-23T01:32:37.3554014Z  - 
2022-11-23T01:32:37.3554134Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.3554184Z             {
2022-11-23T01:32:37.3554323Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3554428Z                 'code': None,
2022-11-23T01:32:37.3554662Z                 'obj_weakref': <weakref at 0x7f71070c2fb0; to 'Tensor' at 0x7f7106df0b30>
2022-11-23T01:32:37.3554900Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3554962Z             }
2022-11-23T01:32:37.3555024Z             
2022-11-23T01:32:37.3555080Z  - 
2022-11-23T01:32:37.3555209Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.3555271Z             {
2022-11-23T01:32:37.3555436Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3555607Z                 'code': ['___check_obj_id(model, 140123423618688)'],
2022-11-23T01:32:37.3555724Z                 'obj_weakref': None
2022-11-23T01:32:37.3555948Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.3555997Z             }
2022-11-23T01:32:37.3556059Z             
2022-11-23T01:32:37.3556126Z  - 
2022-11-23T01:32:37.3556246Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3556310Z             {
2022-11-23T01:32:37.3556444Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3556660Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3556764Z                 'obj_weakref': None
2022-11-23T01:32:37.3556979Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3557041Z             }
2022-11-23T01:32:37.3557241Z             
2022-11-23T01:32:37.3557312Z  - 
2022-11-23T01:32:37.3557445Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.3557508Z             {
2022-11-23T01:32:37.3557613Z                 'guard_types': None,
2022-11-23T01:32:37.3557718Z                 'code': None,
2022-11-23T01:32:37.3557836Z                 'obj_weakref': None
2022-11-23T01:32:37.3557956Z                 'guarded_class': None
2022-11-23T01:32:37.3558020Z             }
2022-11-23T01:32:37.3558084Z             
2022-11-23T01:32:37.3558350Z [2022-11-23 01:19:19,847] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 145
2022-11-23T01:32:37.3558711Z [2022-11-23 01:19:19,857] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/an/can4luaqoribuwvqliywjj22mjwxxrd634ntqyssizp6uqsgxutc.py
2022-11-23T01:32:37.3558974Z [2022-11-23 01:19:19,858] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 145
2022-11-23T01:32:37.3558980Z 
2022-11-23T01:32:37.3559076Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3559147Z import torch
2022-11-23T01:32:37.3559217Z import random
2022-11-23T01:32:37.3559332Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3559452Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3559458Z 
2022-11-23T01:32:37.3559536Z aten = torch.ops.aten
2022-11-23T01:32:37.3559656Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3559746Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3559753Z 
2022-11-23T01:32:37.3559758Z 
2022-11-23T01:32:37.3559844Z async_compile.wait(globals())
2022-11-23T01:32:37.3559916Z del async_compile
2022-11-23T01:32:37.3559921Z 
2022-11-23T01:32:37.3559990Z def call(args):
2022-11-23T01:32:37.3560071Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.3560139Z     args.clear()
2022-11-23T01:32:37.3560268Z     buf0 = aten.convolution(arg0_1, arg1_1, arg2_1, (4,), (0,), (1,), True, (0,), 1)
2022-11-23T01:32:37.3560363Z     assert_size_stride(buf0, (2, 16, 364), (5824, 364, 1))
2022-11-23T01:32:37.3560431Z     del arg0_1
2022-11-23T01:32:37.3560496Z     del arg1_1
2022-11-23T01:32:37.3560562Z     del arg2_1
2022-11-23T01:32:37.3560632Z     return (buf0, )
2022-11-23T01:32:37.3560637Z 
2022-11-23T01:32:37.3560641Z 
2022-11-23T01:32:37.3560715Z if __name__ == "__main__":
2022-11-23T01:32:37.3560826Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3560935Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3561213Z     arg0_1 = rand_strided((2, 32, 90), (2880, 90, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3561421Z     arg1_1 = rand_strided((32, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3561618Z     arg2_1 = rand_strided((16, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3561741Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.3561746Z 
2022-11-23T01:32:37.3561814Z ok (0.070s)
2022-11-23T01:32:37.3562151Z   test_cos_cpu (__main__.CpuTests) ... [2022-11-23 01:19:19,871] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3562423Z [2022-11-23 01:19:19,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3562642Z [2022-11-23 01:19:19,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3562881Z [2022-11-23 01:19:19,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.3563171Z [2022-11-23 01:19:19,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.3563494Z [2022-11-23 01:19:19,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3563821Z [2022-11-23 01:19:19,872] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f640f810, file "inductor/test_torchinductor.py", line 2134> 
2022-11-23T01:32:37.3563915Z  2135           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3564007Z                2 LOAD_METHOD              1 (cos)
2022-11-23T01:32:37.3564098Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.3564186Z                6 CALL_METHOD              1
2022-11-23T01:32:37.3564263Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:37.3564335Z               10 BINARY_ADD
2022-11-23T01:32:37.3564428Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3564518Z               14 LOAD_METHOD              1 (cos)
2022-11-23T01:32:37.3564604Z               16 LOAD_FAST                0 (x)
2022-11-23T01:32:37.3564689Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:37.3564759Z               20 BINARY_ADD
2022-11-23T01:32:37.3564833Z               22 CALL_METHOD              1
2022-11-23T01:32:37.3564922Z               24 BUILD_TUPLE              2
2022-11-23T01:32:37.3564996Z               26 RETURN_VALUE
2022-11-23T01:32:37.3565057Z  
2022-11-23T01:32:37.3565062Z 
2022-11-23T01:32:37.3565330Z [2022-11-23 01:19:19,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2135
2022-11-23T01:32:37.3565545Z [2022-11-23 01:19:19,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.3565846Z [2022-11-23 01:19:19,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cos [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3566093Z [2022-11-23 01:19:19,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.cos)]
2022-11-23T01:32:37.3566374Z [2022-11-23 01:19:19,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.cos), TensorVariable()]
2022-11-23T01:32:37.3566595Z [2022-11-23 01:19:19,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:37.3566875Z [2022-11-23 01:19:19,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.3567117Z [2022-11-23 01:19:19,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.3567444Z [2022-11-23 01:19:19,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cos [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3567716Z [2022-11-23 01:19:19,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.cos)]
2022-11-23T01:32:37.3568049Z [2022-11-23 01:19:19,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()]
2022-11-23T01:32:37.3568397Z [2022-11-23 01:19:19,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.cos), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.3568737Z [2022-11-23 01:19:19,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()]
2022-11-23T01:32:37.3569004Z [2022-11-23 01:19:19,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3569248Z [2022-11-23 01:19:19,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3569569Z [2022-11-23 01:19:19,903] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f640f810, file "inductor/test_torchinductor.py", line 2134>
2022-11-23T01:32:37.3569812Z [2022-11-23 01:19:19,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3570045Z [2022-11-23 01:19:19,903] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3570299Z [2022-11-23 01:19:19,905] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3570543Z [2022-11-23 01:19:19,915] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3570728Z [2022-11-23 01:19:19,915] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3570860Z  __compiled_fn_147 <eval_with_key>.941 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3570950Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3571049Z call_function, cos, aten.cos, (ex_0_,), {}
2022-11-23T01:32:37.3571207Z call_function, add, <built-in function add>, (cos, 2), {}
2022-11-23T01:32:37.3571379Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.3571480Z call_function, cos_1, aten.cos, (add_1,), {}
2022-11-23T01:32:37.3571581Z output, output, output, ((add, cos_1),), {}
2022-11-23T01:32:37.3571586Z 
2022-11-23T01:32:37.3571858Z [2022-11-23 01:19:19,916] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3571952Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3572041Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3572119Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3572208Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3572282Z               8 RETURN_VALUE
2022-11-23T01:32:37.3572287Z 
2022-11-23T01:32:37.3572348Z  
2022-11-23T01:32:37.3572623Z [2022-11-23 01:19:19,916] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3572732Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_147)
2022-11-23T01:32:37.3572821Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3572910Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3572972Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3573059Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.3573163Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.3573265Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3573354Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3573428Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.3573525Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3573599Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.3573673Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.3573759Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.3573863Z              26 RETURN_VALUE
2022-11-23T01:32:37.3573868Z 
2022-11-23T01:32:37.3573927Z  
2022-11-23T01:32:37.3574107Z [2022-11-23 01:19:19,917] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3574177Z  - 
2022-11-23T01:32:37.3574283Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3574348Z             {
2022-11-23T01:32:37.3574485Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3574698Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.3574816Z                 'obj_weakref': None
2022-11-23T01:32:37.3575042Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3575106Z             }
2022-11-23T01:32:37.3575169Z             
2022-11-23T01:32:37.3575225Z  - 
2022-11-23T01:32:37.3575346Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3575408Z             {
2022-11-23T01:32:37.3575551Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3575658Z                 'code': None,
2022-11-23T01:32:37.3575867Z                 'obj_weakref': <weakref at 0x7f71066d8590; to 'Tensor' at 0x7f70f28b2cb0>
2022-11-23T01:32:37.3576114Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3576165Z             }
2022-11-23T01:32:37.3576227Z             
2022-11-23T01:32:37.3576294Z  - 
2022-11-23T01:32:37.3576425Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.3576488Z             {
2022-11-23T01:32:37.3576620Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3576775Z                 'code': ['___check_obj_id(model, 140124011235664)'],
2022-11-23T01:32:37.3576892Z                 'obj_weakref': None
2022-11-23T01:32:37.3577115Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.3577177Z             }
2022-11-23T01:32:37.3577243Z             
2022-11-23T01:32:37.3577311Z  - 
2022-11-23T01:32:37.3577431Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3577481Z             {
2022-11-23T01:32:37.3577613Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3577830Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3577947Z                 'obj_weakref': None
2022-11-23T01:32:37.3578165Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3578228Z             }
2022-11-23T01:32:37.3578289Z             
2022-11-23T01:32:37.3578344Z  - 
2022-11-23T01:32:37.3578475Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.3578536Z             {
2022-11-23T01:32:37.3578653Z                 'guard_types': None,
2022-11-23T01:32:37.3578759Z                 'code': None,
2022-11-23T01:32:37.3578875Z                 'obj_weakref': None
2022-11-23T01:32:37.3578994Z                 'guarded_class': None
2022-11-23T01:32:37.3579046Z             }
2022-11-23T01:32:37.3579107Z             
2022-11-23T01:32:37.3579363Z [2022-11-23 01:19:19,928] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 146
2022-11-23T01:32:37.3579737Z [2022-11-23 01:19:22,468] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kg/ckglbgztbwn4aqgyyd5kmeiu2mspmvh5xiy2bhuhm3drmybhabns.py
2022-11-23T01:32:37.3580001Z [2022-11-23 01:19:22,468] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 146
2022-11-23T01:32:37.3580006Z 
2022-11-23T01:32:37.3580099Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3580168Z import torch
2022-11-23T01:32:37.3580237Z import random
2022-11-23T01:32:37.3580339Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3580458Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3580463Z 
2022-11-23T01:32:37.3580539Z aten = torch.ops.aten
2022-11-23T01:32:37.3580701Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3580794Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3580799Z 
2022-11-23T01:32:37.3580803Z 
2022-11-23T01:32:37.3580934Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3581138Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3581255Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3581390Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.3581489Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.3581549Z {
2022-11-23T01:32:37.3581646Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3581708Z     {
2022-11-23T01:32:37.3581784Z         #pragma omp for 
2022-11-23T01:32:37.3581866Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:37.3581916Z         {
2022-11-23T01:32:37.3582064Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.3582150Z             auto tmp1 = tmp0.cos();
2022-11-23T01:32:37.3582283Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:37.3582369Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:37.3582498Z             auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.3582580Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:32:37.3582661Z             auto tmp6 = tmp5.cos();
2022-11-23T01:32:37.3582742Z             tmp3.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.3582830Z             tmp6.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.3582892Z         }
2022-11-23T01:32:37.3582987Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.3583069Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:37.3583132Z         {
2022-11-23T01:32:37.3583202Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.3583290Z             auto tmp1 = std::cos(tmp0);
2022-11-23T01:32:37.3583389Z             auto tmp2 = static_cast<float>(2);
2022-11-23T01:32:37.3583471Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:37.3583568Z             auto tmp4 = static_cast<float>(1);
2022-11-23T01:32:37.3583650Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:32:37.3583738Z             auto tmp6 = std::cos(tmp5);
2022-11-23T01:32:37.3583816Z             out_ptr0[i0] = tmp3;
2022-11-23T01:32:37.3583880Z             out_ptr1[i0] = tmp6;
2022-11-23T01:32:37.3583940Z         }
2022-11-23T01:32:37.3584001Z     }
2022-11-23T01:32:37.3584064Z }
2022-11-23T01:32:37.3584142Z ''')
2022-11-23T01:32:37.3584147Z 
2022-11-23T01:32:37.3584151Z 
2022-11-23T01:32:37.3584239Z async_compile.wait(globals())
2022-11-23T01:32:37.3584311Z del async_compile
2022-11-23T01:32:37.3584316Z 
2022-11-23T01:32:37.3584374Z def call(args):
2022-11-23T01:32:37.3584552Z     arg0_1, = args
2022-11-23T01:32:37.3584629Z     args.clear()
2022-11-23T01:32:37.3584832Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3585034Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3585196Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.3585265Z     del arg0_1
2022-11-23T01:32:37.3585329Z     return (buf0, buf1, )
2022-11-23T01:32:37.3585335Z 
2022-11-23T01:32:37.3585353Z 
2022-11-23T01:32:37.3585416Z if __name__ == "__main__":
2022-11-23T01:32:37.3585531Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3585654Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3585853Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3585960Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.3585965Z 
2022-11-23T01:32:37.3586031Z ok (2.607s)
2022-11-23T01:32:37.3586164Z   test_cudnn_rnn_cpu (__main__.CpuTests) ... skip: requires CUDA (0.005s)
2022-11-23T01:32:37.3586356Z   test_dense_mask_index_cpu (__main__.CpuTests) ... skip: https://github.com/pytorch/torchdynamo/issues/1697 (0.001s)
2022-11-23T01:32:37.3586697Z   test_div1_cpu (__main__.CpuTests) ... [2022-11-23 01:19:22,488] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3586966Z [2022-11-23 01:19:22,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3587214Z [2022-11-23 01:19:22,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3587469Z [2022-11-23 01:19:22,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.3587753Z [2022-11-23 01:19:22,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.3588080Z [2022-11-23 01:19:22,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3588408Z [2022-11-23 01:19:22,489] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64776f0, file "inductor/test_torchinductor.py", line 1061> 
2022-11-23T01:32:37.3588503Z  1063           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3588596Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3588674Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3588766Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3588863Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:37.3589027Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3589120Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3589125Z 
2022-11-23T01:32:37.3589217Z 1064          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3589306Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3589380Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3589471Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3589612Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:37.3589772Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3589863Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3589869Z 
2022-11-23T01:32:37.3589958Z 1065          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3590046Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3590134Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3590210Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3590349Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:37.3590507Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3590597Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3590602Z 
2022-11-23T01:32:37.3590687Z 1066          42 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3590776Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3590859Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:37.3590864Z 
2022-11-23T01:32:37.3590948Z 1067          48 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3591020Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3591102Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:37.3591190Z               54 BUILD_TUPLE              5
2022-11-23T01:32:37.3591264Z               56 RETURN_VALUE
2022-11-23T01:32:37.3591325Z  
2022-11-23T01:32:37.3591330Z 
2022-11-23T01:32:37.3591599Z [2022-11-23 01:19:22,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1063
2022-11-23T01:32:37.3591816Z [2022-11-23 01:19:22,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.3592105Z [2022-11-23 01:19:22,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3592383Z [2022-11-23 01:19:22,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:37.3592655Z [2022-11-23 01:19:22,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3592964Z [2022-11-23 01:19:22,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3593364Z [2022-11-23 01:19:22,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.3593769Z [2022-11-23 01:19:22,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:37.3594031Z [2022-11-23 01:19:22,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1064
2022-11-23T01:32:37.3594276Z [2022-11-23 01:19:22,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.3594606Z [2022-11-23 01:19:22,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3594883Z [2022-11-23 01:19:22,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:37.3595182Z [2022-11-23 01:19:22,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3595506Z [2022-11-23 01:19:22,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3595898Z [2022-11-23 01:19:22,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:37.3596322Z [2022-11-23 01:19:22,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.3596591Z [2022-11-23 01:19:22,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1065
2022-11-23T01:32:37.3596862Z [2022-11-23 01:19:22,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3597333Z [2022-11-23 01:19:22,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3597636Z [2022-11-23 01:19:22,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:37.3597967Z [2022-11-23 01:19:22,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3598337Z [2022-11-23 01:19:22,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3598761Z [2022-11-23 01:19:22,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:37.3599215Z [2022-11-23 01:19:22,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.3599481Z [2022-11-23 01:19:22,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1066
2022-11-23T01:32:37.3599826Z [2022-11-23 01:19:22,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3600129Z [2022-11-23 01:19:22,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3600527Z [2022-11-23 01:19:22,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3600798Z [2022-11-23 01:19:22,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1067
2022-11-23T01:32:37.3601116Z [2022-11-23 01:19:22,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3601465Z [2022-11-23 01:19:22,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3601864Z [2022-11-23 01:19:22,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3602215Z [2022-11-23 01:19:22,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3602463Z [2022-11-23 01:19:22,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3602789Z [2022-11-23 01:19:22,557] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64776f0, file "inductor/test_torchinductor.py", line 1061>
2022-11-23T01:32:37.3603031Z [2022-11-23 01:19:22,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3603265Z [2022-11-23 01:19:22,557] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3603504Z [2022-11-23 01:19:22,559] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3603748Z [2022-11-23 01:19:22,579] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3603937Z [2022-11-23 01:19:22,580] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3604068Z  __compiled_fn_148 <eval_with_key>.947 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3604157Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3604244Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.3604431Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:37.3604621Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:37.3604799Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:37.3604990Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.3605181Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.3605311Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:37.3605319Z 
2022-11-23T01:32:37.3605597Z [2022-11-23 01:19:22,580] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3605691Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3605781Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3605874Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3605951Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3606026Z               8 RETURN_VALUE
2022-11-23T01:32:37.3606031Z 
2022-11-23T01:32:37.3606091Z  
2022-11-23T01:32:37.3606397Z [2022-11-23 01:19:22,581] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3606504Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_148)
2022-11-23T01:32:37.3606594Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3606681Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3606756Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3606832Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3606982Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.3607059Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.3607146Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.3607248Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.3607350Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3607440Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3607503Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.3607605Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3607693Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.3607769Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.3607870Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3607957Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:37.3608033Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.3608120Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3608208Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:37.3608284Z              40 BINARY_SUBSCR
2022-11-23T01:32:37.3608382Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3608470Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:37.3608544Z              46 BINARY_SUBSCR
2022-11-23T01:32:37.3608633Z              48 BUILD_TUPLE              5
2022-11-23T01:32:37.3608694Z              50 RETURN_VALUE
2022-11-23T01:32:37.3608714Z 
2022-11-23T01:32:37.3608762Z  
2022-11-23T01:32:37.3608944Z [2022-11-23 01:19:22,582] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3609015Z  - 
2022-11-23T01:32:37.3609134Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3609199Z             {
2022-11-23T01:32:37.3609338Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3609509Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.3609631Z                 'obj_weakref': None
2022-11-23T01:32:37.3609853Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3609919Z             }
2022-11-23T01:32:37.3609981Z             
2022-11-23T01:32:37.3610049Z  - 
2022-11-23T01:32:37.3610171Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3610222Z             {
2022-11-23T01:32:37.3610363Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3610470Z                 'code': None,
2022-11-23T01:32:37.3610678Z                 'obj_weakref': <weakref at 0x7f71069bfcb0; to 'Tensor' at 0x7f70f2e09e30>
2022-11-23T01:32:37.3610923Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3610987Z             }
2022-11-23T01:32:37.3611050Z             
2022-11-23T01:32:37.3611118Z  - 
2022-11-23T01:32:37.3611227Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.3611290Z             {
2022-11-23T01:32:37.3611430Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3611535Z                 'code': None,
2022-11-23T01:32:37.3611739Z                 'obj_weakref': <weakref at 0x7f710636ce30; to 'Tensor' at 0x7f70f2e09890>
2022-11-23T01:32:37.3611981Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3612044Z             }
2022-11-23T01:32:37.3612093Z             
2022-11-23T01:32:37.3612190Z  - 
2022-11-23T01:32:37.3612319Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.3612382Z             {
2022-11-23T01:32:37.3612515Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3612683Z                 'code': ['___check_obj_id(model, 140123421405696)'],
2022-11-23T01:32:37.3612799Z                 'obj_weakref': None
2022-11-23T01:32:37.3613015Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.3613103Z             }
2022-11-23T01:32:37.3613166Z             
2022-11-23T01:32:37.3613234Z  - 
2022-11-23T01:32:37.3613352Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3613415Z             {
2022-11-23T01:32:37.3613536Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3613752Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3613868Z                 'obj_weakref': None
2022-11-23T01:32:37.3614085Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3614150Z             }
2022-11-23T01:32:37.3614212Z             
2022-11-23T01:32:37.3614279Z  - 
2022-11-23T01:32:37.3614395Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.3614457Z             {
2022-11-23T01:32:37.3614576Z                 'guard_types': None,
2022-11-23T01:32:37.3614680Z                 'code': None,
2022-11-23T01:32:37.3614800Z                 'obj_weakref': None
2022-11-23T01:32:37.3614918Z                 'guarded_class': None
2022-11-23T01:32:37.3614979Z             }
2022-11-23T01:32:37.3615028Z             
2022-11-23T01:32:37.3615286Z [2022-11-23 01:19:22,608] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 147
2022-11-23T01:32:37.3615651Z [2022-11-23 01:19:25,159] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mp/cmpo6s4n45ky5jacgs5jalcy2dzvegrwm5bs2up2qun3yw3xxe5w.py
2022-11-23T01:32:37.3615914Z [2022-11-23 01:19:25,160] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 147
2022-11-23T01:32:37.3615921Z 
2022-11-23T01:32:37.3616014Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3616083Z import torch
2022-11-23T01:32:37.3616151Z import random
2022-11-23T01:32:37.3616265Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3616374Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3616391Z 
2022-11-23T01:32:37.3616459Z aten = torch.ops.aten
2022-11-23T01:32:37.3616593Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3616684Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3616689Z 
2022-11-23T01:32:37.3616694Z 
2022-11-23T01:32:37.3616826Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3617029Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3617147Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3617252Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.3617338Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.3617434Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.3617529Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:37.3617620Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:37.3617711Z                        float* __restrict__ out_ptr4)
2022-11-23T01:32:37.3617773Z {
2022-11-23T01:32:37.3617871Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3617919Z     {
2022-11-23T01:32:37.3617995Z         #pragma omp for 
2022-11-23T01:32:37.3618076Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.3618139Z         {
2022-11-23T01:32:37.3618278Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.3618409Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:37.3618523Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:37.3618608Z             auto tmp3 = tmp2.floor();
2022-11-23T01:32:37.3618678Z             auto tmp4 = tmp2.trunc();
2022-11-23T01:32:37.3618768Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.3618858Z             tmp3.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.3618947Z             tmp4.store(out_ptr2 + 16*i0);
2022-11-23T01:32:37.3619034Z             tmp2.store(out_ptr3 + 16*i0);
2022-11-23T01:32:37.3619153Z             tmp3.store(out_ptr4 + 16*i0);
2022-11-23T01:32:37.3619217Z         }
2022-11-23T01:32:37.3619299Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.3619380Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:37.3619442Z         {
2022-11-23T01:32:37.3619527Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.3619608Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:37.3619689Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:37.3619782Z             auto tmp3 = std::floor(tmp2);
2022-11-23T01:32:37.3619861Z             auto tmp4 = std::trunc(tmp2);
2022-11-23T01:32:37.3619940Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.3620019Z             out_ptr1[i0] = tmp3;
2022-11-23T01:32:37.3620096Z             out_ptr2[i0] = tmp4;
2022-11-23T01:32:37.3620172Z             out_ptr3[i0] = tmp2;
2022-11-23T01:32:37.3620248Z             out_ptr4[i0] = tmp3;
2022-11-23T01:32:37.3620297Z         }
2022-11-23T01:32:37.3620357Z     }
2022-11-23T01:32:37.3620417Z }
2022-11-23T01:32:37.3620497Z ''')
2022-11-23T01:32:37.3620502Z 
2022-11-23T01:32:37.3620506Z 
2022-11-23T01:32:37.3620594Z async_compile.wait(globals())
2022-11-23T01:32:37.3620666Z del async_compile
2022-11-23T01:32:37.3620671Z 
2022-11-23T01:32:37.3620743Z def call(args):
2022-11-23T01:32:37.3620820Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.3620880Z     args.clear()
2022-11-23T01:32:37.3621075Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3621267Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3621458Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3621645Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3621829Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3622091Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:37.3622159Z     del arg0_1
2022-11-23T01:32:37.3622213Z     del arg1_1
2022-11-23T01:32:37.3622309Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:37.3622313Z 
2022-11-23T01:32:37.3622317Z 
2022-11-23T01:32:37.3622393Z if __name__ == "__main__":
2022-11-23T01:32:37.3622506Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3622628Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3622823Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3623013Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3623126Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.3623131Z 
2022-11-23T01:32:37.3623186Z ok (2.687s)
2022-11-23T01:32:37.3623489Z   test_div2_cpu (__main__.CpuTests) ... [2022-11-23 01:19:25,176] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3623757Z [2022-11-23 01:19:25,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3623974Z [2022-11-23 01:19:25,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3624224Z [2022-11-23 01:19:25,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.3624582Z [2022-11-23 01:19:25,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.3624947Z [2022-11-23 01:19:25,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3625273Z [2022-11-23 01:19:25,177] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6477810, file "inductor/test_torchinductor.py", line 1073> 
2022-11-23T01:32:37.3625411Z  1075           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3625490Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3625585Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3625675Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3625768Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:37.3625930Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3626022Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3626031Z 
2022-11-23T01:32:37.3626121Z 1076          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3626208Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3626281Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3626368Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3626507Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:37.3626667Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3626758Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3626763Z 
2022-11-23T01:32:37.3626856Z 1077          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3626948Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3627023Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3627110Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3627251Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:37.3627413Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3627504Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3627509Z 
2022-11-23T01:32:37.3627594Z 1078          42 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3627683Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3627765Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:37.3627770Z 
2022-11-23T01:32:37.3627844Z 1079          48 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3627930Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3628012Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:37.3628101Z               54 BUILD_TUPLE              5
2022-11-23T01:32:37.3628175Z               56 RETURN_VALUE
2022-11-23T01:32:37.3628236Z  
2022-11-23T01:32:37.3628241Z 
2022-11-23T01:32:37.3628508Z [2022-11-23 01:19:25,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1075
2022-11-23T01:32:37.3628729Z [2022-11-23 01:19:25,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.3629021Z [2022-11-23 01:19:25,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3629270Z [2022-11-23 01:19:25,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:37.3629544Z [2022-11-23 01:19:25,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3629851Z [2022-11-23 01:19:25,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3630227Z [2022-11-23 01:19:25,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.3630627Z [2022-11-23 01:19:25,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:37.3630920Z [2022-11-23 01:19:25,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1076
2022-11-23T01:32:37.3631165Z [2022-11-23 01:19:25,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.3631519Z [2022-11-23 01:19:25,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3631793Z [2022-11-23 01:19:25,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:37.3632079Z [2022-11-23 01:19:25,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3632415Z [2022-11-23 01:19:25,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3632807Z [2022-11-23 01:19:25,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:37.3633229Z [2022-11-23 01:19:25,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.3633491Z [2022-11-23 01:19:25,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1077
2022-11-23T01:32:37.3633761Z [2022-11-23 01:19:25,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3634113Z [2022-11-23 01:19:25,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3634413Z [2022-11-23 01:19:25,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:37.3634742Z [2022-11-23 01:19:25,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3635107Z [2022-11-23 01:19:25,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3635529Z [2022-11-23 01:19:25,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:37.3635978Z [2022-11-23 01:19:25,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.3636246Z [2022-11-23 01:19:25,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1078
2022-11-23T01:32:37.3636527Z [2022-11-23 01:19:25,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3636843Z [2022-11-23 01:19:25,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3637326Z [2022-11-23 01:19:25,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3637594Z [2022-11-23 01:19:25,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1079
2022-11-23T01:32:37.3637971Z [2022-11-23 01:19:25,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3638313Z [2022-11-23 01:19:25,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3638741Z [2022-11-23 01:19:25,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3639091Z [2022-11-23 01:19:25,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3639338Z [2022-11-23 01:19:25,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3639669Z [2022-11-23 01:19:25,242] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6477810, file "inductor/test_torchinductor.py", line 1073>
2022-11-23T01:32:37.3639914Z [2022-11-23 01:19:25,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3640149Z [2022-11-23 01:19:25,242] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3640391Z [2022-11-23 01:19:25,245] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3640639Z [2022-11-23 01:19:25,265] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3640827Z [2022-11-23 01:19:25,266] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3640961Z  __compiled_fn_149 <eval_with_key>.953 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3641053Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3641142Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.3641331Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:37.3641522Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:37.3641696Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:37.3641885Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.3642079Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.3642208Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:37.3642213Z 
2022-11-23T01:32:37.3642489Z [2022-11-23 01:19:25,266] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3642582Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3642671Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3642766Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3642845Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3642920Z               8 RETURN_VALUE
2022-11-23T01:32:37.3642925Z 
2022-11-23T01:32:37.3642986Z  
2022-11-23T01:32:37.3643262Z [2022-11-23 01:19:25,266] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3643370Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_149)
2022-11-23T01:32:37.3643459Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3643547Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3643611Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3643698Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3643785Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.3643858Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.3643946Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.3644086Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.3644186Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3644272Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3644335Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.3644433Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3644519Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.3644630Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.3644731Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3644815Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:37.3644891Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.3644978Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3645062Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:37.3645136Z              40 BINARY_SUBSCR
2022-11-23T01:32:37.3645232Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3645319Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:37.3645394Z              46 BINARY_SUBSCR
2022-11-23T01:32:37.3645480Z              48 BUILD_TUPLE              5
2022-11-23T01:32:37.3645541Z              50 RETURN_VALUE
2022-11-23T01:32:37.3645547Z 
2022-11-23T01:32:37.3645606Z  
2022-11-23T01:32:37.3645788Z [2022-11-23 01:19:25,268] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3645857Z  - 
2022-11-23T01:32:37.3645977Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3646041Z             {
2022-11-23T01:32:37.3646183Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3646357Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.3646478Z                 'obj_weakref': None
2022-11-23T01:32:37.3646702Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3646768Z             }
2022-11-23T01:32:37.3646836Z             
2022-11-23T01:32:37.3646909Z  - 
2022-11-23T01:32:37.3647033Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3647084Z             {
2022-11-23T01:32:37.3647225Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3647331Z                 'code': None,
2022-11-23T01:32:37.3647537Z                 'obj_weakref': <weakref at 0x7f7106c5a0b0; to 'Tensor' at 0x7f71188f0f50>
2022-11-23T01:32:37.3647785Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3647851Z             }
2022-11-23T01:32:37.3647914Z             
2022-11-23T01:32:37.3647969Z  - 
2022-11-23T01:32:37.3648090Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.3648152Z             {
2022-11-23T01:32:37.3648292Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3648397Z                 'code': None,
2022-11-23T01:32:37.3648600Z                 'obj_weakref': <weakref at 0x7f70f2c63830; to 'Tensor' at 0x7f711892a8f0>
2022-11-23T01:32:37.3648845Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3648895Z             }
2022-11-23T01:32:37.3648956Z             
2022-11-23T01:32:37.3649023Z  - 
2022-11-23T01:32:37.3649153Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.3649215Z             {
2022-11-23T01:32:37.3649349Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3649519Z                 'code': ['___check_obj_id(model, 140126565109344)'],
2022-11-23T01:32:37.3649625Z                 'obj_weakref': None
2022-11-23T01:32:37.3649850Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.3649913Z             }
2022-11-23T01:32:37.3649977Z             
2022-11-23T01:32:37.3650044Z  - 
2022-11-23T01:32:37.3650163Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3650226Z             {
2022-11-23T01:32:37.3650377Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3650591Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3650708Z                 'obj_weakref': None
2022-11-23T01:32:37.3650924Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3650988Z             }
2022-11-23T01:32:37.3651048Z             
2022-11-23T01:32:37.3651116Z  - 
2022-11-23T01:32:37.3651260Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.3651323Z             {
2022-11-23T01:32:37.3651441Z                 'guard_types': None,
2022-11-23T01:32:37.3651547Z                 'code': None,
2022-11-23T01:32:37.3651662Z                 'obj_weakref': None
2022-11-23T01:32:37.3651781Z                 'guarded_class': None
2022-11-23T01:32:37.3651844Z             }
2022-11-23T01:32:37.3651893Z             
2022-11-23T01:32:37.3652153Z [2022-11-23 01:19:25,294] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 148
2022-11-23T01:32:37.3652528Z [2022-11-23 01:19:27,860] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i6/ci6sgbsziavvyguy6hynlquskvjwcpmrbxm5c5or7ojvce5roaya.py
2022-11-23T01:32:37.3652788Z [2022-11-23 01:19:27,860] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 148
2022-11-23T01:32:37.3652794Z 
2022-11-23T01:32:37.3652887Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3652959Z import torch
2022-11-23T01:32:37.3653026Z import random
2022-11-23T01:32:37.3653140Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3653248Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3653253Z 
2022-11-23T01:32:37.3653330Z aten = torch.ops.aten
2022-11-23T01:32:37.3653463Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3653554Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3653559Z 
2022-11-23T01:32:37.3653566Z 
2022-11-23T01:32:37.3653701Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3653904Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3654022Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:37.3654126Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.3654213Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.3654312Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.3654406Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:37.3654498Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:37.3654589Z                        float* __restrict__ out_ptr4)
2022-11-23T01:32:37.3654648Z {
2022-11-23T01:32:37.3654745Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3654793Z     {
2022-11-23T01:32:37.3654869Z         #pragma omp for 
2022-11-23T01:32:37.3654950Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:37.3655015Z         {
2022-11-23T01:32:37.3655078Z             {
2022-11-23T01:32:37.3655143Z                 {
2022-11-23T01:32:37.3655221Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.3655311Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:37.3655417Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.3655507Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:37.3655616Z                     auto tmp4 = std::floor(tmp3);
2022-11-23T01:32:37.3655713Z                     auto tmp5 = std::trunc(tmp3);
2022-11-23T01:32:37.3655798Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:37.3655880Z                     out_ptr1[i0] = tmp4;
2022-11-23T01:32:37.3655949Z                     out_ptr2[i0] = tmp5;
2022-11-23T01:32:37.3656031Z                     out_ptr3[i0] = tmp3;
2022-11-23T01:32:37.3656111Z                     out_ptr4[i0] = tmp4;
2022-11-23T01:32:37.3656176Z                 }
2022-11-23T01:32:37.3656268Z             }
2022-11-23T01:32:37.3656331Z         }
2022-11-23T01:32:37.3656391Z     }
2022-11-23T01:32:37.3656437Z }
2022-11-23T01:32:37.3656515Z ''')
2022-11-23T01:32:37.3656520Z 
2022-11-23T01:32:37.3656524Z 
2022-11-23T01:32:37.3656612Z async_compile.wait(globals())
2022-11-23T01:32:37.3656683Z del async_compile
2022-11-23T01:32:37.3656688Z 
2022-11-23T01:32:37.3656759Z def call(args):
2022-11-23T01:32:37.3656834Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.3656933Z     args.clear()
2022-11-23T01:32:37.3657119Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3657309Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3657497Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3657683Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3657867Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3658127Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:37.3658196Z     del arg0_1
2022-11-23T01:32:37.3658262Z     del arg1_1
2022-11-23T01:32:37.3658346Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:37.3658352Z 
2022-11-23T01:32:37.3658356Z 
2022-11-23T01:32:37.3658434Z if __name__ == "__main__":
2022-11-23T01:32:37.3658545Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3658666Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3658857Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3659050Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3659164Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.3659169Z 
2022-11-23T01:32:37.3659237Z ok (2.701s)
2022-11-23T01:32:37.3659524Z   test_div3_cpu (__main__.CpuTests) ... [2022-11-23 01:19:27,876] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3659796Z [2022-11-23 01:19:27,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3660012Z [2022-11-23 01:19:27,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3660267Z [2022-11-23 01:19:27,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.3660553Z [2022-11-23 01:19:27,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.3660876Z [2022-11-23 01:19:27,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3661199Z [2022-11-23 01:19:27,877] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6477930, file "inductor/test_torchinductor.py", line 1085> 
2022-11-23T01:32:37.3661297Z  1087           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3661387Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3661465Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3661554Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3661648Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:37.3661809Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3661901Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3661907Z 
2022-11-23T01:32:37.3661999Z 1088          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3662087Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3662173Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3662247Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3662418Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:37.3662579Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3662670Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3662675Z 
2022-11-23T01:32:37.3662766Z 1089          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3662854Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3662967Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3663041Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3663182Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:37.3663340Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3663428Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3663433Z 
2022-11-23T01:32:37.3663518Z 1090          42 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3663604Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3663689Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:37.3663695Z 
2022-11-23T01:32:37.3663779Z 1091          48 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3663853Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3663935Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:37.3664022Z               54 BUILD_TUPLE              5
2022-11-23T01:32:37.3664097Z               56 RETURN_VALUE
2022-11-23T01:32:37.3664158Z  
2022-11-23T01:32:37.3664165Z 
2022-11-23T01:32:37.3664510Z [2022-11-23 01:19:27,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1087
2022-11-23T01:32:37.3664738Z [2022-11-23 01:19:27,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.3665043Z [2022-11-23 01:19:27,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3665278Z [2022-11-23 01:19:27,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:37.3665555Z [2022-11-23 01:19:27,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3665866Z [2022-11-23 01:19:27,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3666246Z [2022-11-23 01:19:27,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.3666650Z [2022-11-23 01:19:27,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:37.3666916Z [2022-11-23 01:19:27,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1088
2022-11-23T01:32:37.3667165Z [2022-11-23 01:19:27,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.3667494Z [2022-11-23 01:19:27,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3667769Z [2022-11-23 01:19:27,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:37.3668070Z [2022-11-23 01:19:27,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3668409Z [2022-11-23 01:19:27,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3668803Z [2022-11-23 01:19:27,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:37.3669247Z [2022-11-23 01:19:27,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.3669513Z [2022-11-23 01:19:27,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1089
2022-11-23T01:32:37.3669825Z [2022-11-23 01:19:27,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3670181Z [2022-11-23 01:19:27,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3670480Z [2022-11-23 01:19:27,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:37.3670808Z [2022-11-23 01:19:27,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3671175Z [2022-11-23 01:19:27,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3671600Z [2022-11-23 01:19:27,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:37.3672052Z [2022-11-23 01:19:27,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.3672316Z [2022-11-23 01:19:27,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1090
2022-11-23T01:32:37.3672609Z [2022-11-23 01:19:27,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3672926Z [2022-11-23 01:19:27,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3673278Z [2022-11-23 01:19:27,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3673543Z [2022-11-23 01:19:27,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1091
2022-11-23T01:32:37.3673860Z [2022-11-23 01:19:27,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3674206Z [2022-11-23 01:19:27,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3674604Z [2022-11-23 01:19:27,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3674957Z [2022-11-23 01:19:27,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3675204Z [2022-11-23 01:19:27,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3675530Z [2022-11-23 01:19:27,933] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6477930, file "inductor/test_torchinductor.py", line 1085>
2022-11-23T01:32:37.3675775Z [2022-11-23 01:19:27,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3676037Z [2022-11-23 01:19:27,933] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3676289Z [2022-11-23 01:19:27,936] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3676522Z [2022-11-23 01:19:27,949] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3676738Z [2022-11-23 01:19:27,950] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3676871Z  __compiled_fn_150 <eval_with_key>.959 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3676961Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3677047Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.3677361Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:37.3677553Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:37.3677742Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:37.3677921Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.3678115Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.3678246Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:37.3678252Z 
2022-11-23T01:32:37.3678532Z [2022-11-23 01:19:27,951] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3678625Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3678716Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3678809Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3678900Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3678964Z               8 RETURN_VALUE
2022-11-23T01:32:37.3678969Z 
2022-11-23T01:32:37.3679032Z  
2022-11-23T01:32:37.3679307Z [2022-11-23 01:19:27,951] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3679417Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_150)
2022-11-23T01:32:37.3679507Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3679600Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3679679Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3679768Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3679844Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.3679919Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.3680008Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.3680112Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.3680213Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3680300Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3680374Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.3680460Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3680548Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.3680624Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.3680722Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3680809Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:37.3680883Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.3680981Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3681057Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:37.3681132Z              40 BINARY_SUBSCR
2022-11-23T01:32:37.3681229Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3681314Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:37.3681387Z              46 BINARY_SUBSCR
2022-11-23T01:32:37.3681474Z              48 BUILD_TUPLE              5
2022-11-23T01:32:37.3681548Z              50 RETURN_VALUE
2022-11-23T01:32:37.3681552Z 
2022-11-23T01:32:37.3681650Z  
2022-11-23T01:32:37.3681836Z [2022-11-23 01:19:27,953] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3681906Z  - 
2022-11-23T01:32:37.3682026Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3682092Z             {
2022-11-23T01:32:37.3682233Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3682418Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.3682523Z                 'obj_weakref': None
2022-11-23T01:32:37.3682780Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3682847Z             }
2022-11-23T01:32:37.3682913Z             
2022-11-23T01:32:37.3682983Z  - 
2022-11-23T01:32:37.3683109Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3683173Z             {
2022-11-23T01:32:37.3683300Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3683408Z                 'code': None,
2022-11-23T01:32:37.3683616Z                 'obj_weakref': <weakref at 0x7f71070fccb0; to 'Tensor' at 0x7f7106d20b90>
2022-11-23T01:32:37.3683863Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3683929Z             }
2022-11-23T01:32:37.3683992Z             
2022-11-23T01:32:37.3684059Z  - 
2022-11-23T01:32:37.3684168Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.3684230Z             {
2022-11-23T01:32:37.3684375Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3684480Z                 'code': None,
2022-11-23T01:32:37.3684688Z                 'obj_weakref': <weakref at 0x7f71070fcbf0; to 'Tensor' at 0x7f710cd89bf0>
2022-11-23T01:32:37.3684930Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3684994Z             }
2022-11-23T01:32:37.3685044Z             
2022-11-23T01:32:37.3685111Z  - 
2022-11-23T01:32:37.3685240Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.3685304Z             {
2022-11-23T01:32:37.3685436Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3685604Z                 'code': ['___check_obj_id(model, 140123620773328)'],
2022-11-23T01:32:37.3685720Z                 'obj_weakref': None
2022-11-23T01:32:37.3685934Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.3685997Z             }
2022-11-23T01:32:37.3686061Z             
2022-11-23T01:32:37.3686129Z  - 
2022-11-23T01:32:37.3686248Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3686310Z             {
2022-11-23T01:32:37.3686443Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3686646Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3686763Z                 'obj_weakref': None
2022-11-23T01:32:37.3686980Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3687046Z             }
2022-11-23T01:32:37.3687107Z             
2022-11-23T01:32:37.3687175Z  - 
2022-11-23T01:32:37.3687304Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.3687354Z             {
2022-11-23T01:32:37.3687473Z                 'guard_types': None,
2022-11-23T01:32:37.3687577Z                 'code': None,
2022-11-23T01:32:37.3687694Z                 'obj_weakref': None
2022-11-23T01:32:37.3687815Z                 'guarded_class': None
2022-11-23T01:32:37.3687877Z             }
2022-11-23T01:32:37.3687939Z             
2022-11-23T01:32:37.3688183Z [2022-11-23 01:19:27,973] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 149
2022-11-23T01:32:37.3688553Z [2022-11-23 01:19:30,496] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zw/czwhqllc3jgvj56whfw5b3whsmmsmxpwflronelgqlpk77smbg3v.py
2022-11-23T01:32:37.3688813Z [2022-11-23 01:19:30,496] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 149
2022-11-23T01:32:37.3688849Z 
2022-11-23T01:32:37.3688941Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3689009Z import torch
2022-11-23T01:32:37.3689077Z import random
2022-11-23T01:32:37.3689191Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3689311Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3689316Z 
2022-11-23T01:32:37.3689380Z aten = torch.ops.aten
2022-11-23T01:32:37.3689541Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3689634Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3689639Z 
2022-11-23T01:32:37.3689643Z 
2022-11-23T01:32:37.3689776Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3689982Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3690100Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:37.3690203Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:37.3690303Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.3690385Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:37.3690477Z                        long* __restrict__ out_ptr2,
2022-11-23T01:32:37.3690573Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:37.3690665Z                        long* __restrict__ out_ptr4)
2022-11-23T01:32:37.3690726Z {
2022-11-23T01:32:37.3690825Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3690888Z     {
2022-11-23T01:32:37.3690952Z         #pragma omp for 
2022-11-23T01:32:37.3691035Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:37.3691100Z         {
2022-11-23T01:32:37.3691163Z             {
2022-11-23T01:32:37.3691227Z                 {
2022-11-23T01:32:37.3691319Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.3691407Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:37.3691502Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.3691609Z                     auto tmp3 = static_cast<float>(tmp2);
2022-11-23T01:32:37.3691699Z                     auto tmp4 = tmp1 / tmp3;
2022-11-23T01:32:37.3691946Z                     auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2);
2022-11-23T01:32:37.3692036Z                     auto tmp6 = tmp0 / tmp2;
2022-11-23T01:32:37.3692119Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:32:37.3692203Z                     out_ptr1[i0] = tmp5;
2022-11-23T01:32:37.3692272Z                     out_ptr2[i0] = tmp6;
2022-11-23T01:32:37.3692352Z                     out_ptr3[i0] = tmp4;
2022-11-23T01:32:37.3692433Z                     out_ptr4[i0] = tmp5;
2022-11-23T01:32:37.3692500Z                 }
2022-11-23T01:32:37.3692564Z             }
2022-11-23T01:32:37.3692626Z         }
2022-11-23T01:32:37.3692687Z     }
2022-11-23T01:32:37.3692733Z }
2022-11-23T01:32:37.3692810Z ''')
2022-11-23T01:32:37.3692817Z 
2022-11-23T01:32:37.3692821Z 
2022-11-23T01:32:37.3692909Z async_compile.wait(globals())
2022-11-23T01:32:37.3692981Z del async_compile
2022-11-23T01:32:37.3692985Z 
2022-11-23T01:32:37.3693055Z def call(args):
2022-11-23T01:32:37.3693130Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.3693200Z     args.clear()
2022-11-23T01:32:37.3693381Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3693571Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3693756Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3693944Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3694125Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3694383Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:37.3694483Z     del arg0_1
2022-11-23T01:32:37.3694549Z     del arg1_1
2022-11-23T01:32:37.3694632Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:37.3694637Z 
2022-11-23T01:32:37.3694654Z 
2022-11-23T01:32:37.3694716Z if __name__ == "__main__":
2022-11-23T01:32:37.3694829Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3694951Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3695171Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3695359Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3695474Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.3695478Z 
2022-11-23T01:32:37.3695544Z ok (2.634s)
2022-11-23T01:32:37.3695830Z   test_div4_cpu (__main__.CpuTests) ... [2022-11-23 01:19:30,510] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3696100Z [2022-11-23 01:19:30,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3696316Z [2022-11-23 01:19:30,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3696568Z [2022-11-23 01:19:30,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.3696855Z [2022-11-23 01:19:30,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.3697180Z [2022-11-23 01:19:30,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3697503Z [2022-11-23 01:19:30,511] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6477a50, file "inductor/test_torchinductor.py", line 1098> 
2022-11-23T01:32:37.3697597Z  1100           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3697690Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3697779Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3697856Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3697948Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:37.3698108Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3698201Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3698208Z 
2022-11-23T01:32:37.3698300Z 1101          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3698388Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3698477Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3698550Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3698691Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:37.3698850Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3698943Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3698948Z 
2022-11-23T01:32:37.3699039Z 1102          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3699127Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3699215Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3699299Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3699428Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:37.3699586Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3699676Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3699681Z 
2022-11-23T01:32:37.3699765Z 1103          42 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3699853Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3699935Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:37.3699940Z 
2022-11-23T01:32:37.3700026Z 1104          48 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3700143Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3700215Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:37.3700302Z               54 BUILD_TUPLE              5
2022-11-23T01:32:37.3700376Z               56 RETURN_VALUE
2022-11-23T01:32:37.3700438Z  
2022-11-23T01:32:37.3700443Z 
2022-11-23T01:32:37.3700713Z [2022-11-23 01:19:30,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1100
2022-11-23T01:32:37.3700956Z [2022-11-23 01:19:30,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.3701259Z [2022-11-23 01:19:30,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3701508Z [2022-11-23 01:19:30,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:37.3701769Z [2022-11-23 01:19:30,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3702080Z [2022-11-23 01:19:30,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3702457Z [2022-11-23 01:19:30,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.3702859Z [2022-11-23 01:19:30,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:37.3703124Z [2022-11-23 01:19:30,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1101
2022-11-23T01:32:37.3703367Z [2022-11-23 01:19:30,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.3703694Z [2022-11-23 01:19:30,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3703972Z [2022-11-23 01:19:30,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:37.3704271Z [2022-11-23 01:19:30,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3704701Z [2022-11-23 01:19:30,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3705099Z [2022-11-23 01:19:30,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:37.3705514Z [2022-11-23 01:19:30,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.3705782Z [2022-11-23 01:19:30,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1102
2022-11-23T01:32:37.3706052Z [2022-11-23 01:19:30,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3706411Z [2022-11-23 01:19:30,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3706714Z [2022-11-23 01:19:30,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:37.3707044Z [2022-11-23 01:19:30,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3707488Z [2022-11-23 01:19:30,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3707917Z [2022-11-23 01:19:30,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:37.3708400Z [2022-11-23 01:19:30,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.3708668Z [2022-11-23 01:19:30,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1103
2022-11-23T01:32:37.3708963Z [2022-11-23 01:19:30,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3709286Z [2022-11-23 01:19:30,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3709654Z [2022-11-23 01:19:30,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3709910Z [2022-11-23 01:19:30,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1104
2022-11-23T01:32:37.3710228Z [2022-11-23 01:19:30,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3710572Z [2022-11-23 01:19:30,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3710971Z [2022-11-23 01:19:30,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3711322Z [2022-11-23 01:19:30,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3711567Z [2022-11-23 01:19:30,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3711896Z [2022-11-23 01:19:30,568] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6477a50, file "inductor/test_torchinductor.py", line 1098>
2022-11-23T01:32:37.3712140Z [2022-11-23 01:19:30,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3712373Z [2022-11-23 01:19:30,569] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3712627Z [2022-11-23 01:19:30,571] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3712875Z [2022-11-23 01:19:30,585] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3713050Z [2022-11-23 01:19:30,585] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3713181Z  __compiled_fn_151 <eval_with_key>.965 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3713270Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3713356Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.3713542Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:37.3713730Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:37.3713917Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:37.3714096Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.3714288Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.3714449Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:37.3714454Z 
2022-11-23T01:32:37.3714731Z [2022-11-23 01:19:30,586] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3714825Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3714914Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3715045Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3715135Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3715198Z               8 RETURN_VALUE
2022-11-23T01:32:37.3715216Z 
2022-11-23T01:32:37.3715265Z  
2022-11-23T01:32:37.3715540Z [2022-11-23 01:19:30,586] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3715646Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_151)
2022-11-23T01:32:37.3715735Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3715824Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3715900Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3715987Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3716062Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.3716136Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.3716225Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.3716329Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.3716431Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3716518Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3716593Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.3716678Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3716765Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.3716839Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.3716943Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3717028Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:37.3717102Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.3717319Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3717393Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:37.3717468Z              40 BINARY_SUBSCR
2022-11-23T01:32:37.3717570Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3717657Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:37.3717737Z              46 BINARY_SUBSCR
2022-11-23T01:32:37.3717824Z              48 BUILD_TUPLE              5
2022-11-23T01:32:37.3717903Z              50 RETURN_VALUE
2022-11-23T01:32:37.3717908Z 
2022-11-23T01:32:37.3717955Z  
2022-11-23T01:32:37.3718139Z [2022-11-23 01:19:30,588] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3718209Z  - 
2022-11-23T01:32:37.3718330Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3718398Z             {
2022-11-23T01:32:37.3718538Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3718723Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.3718827Z                 'obj_weakref': None
2022-11-23T01:32:37.3719052Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3719116Z             }
2022-11-23T01:32:37.3719181Z             
2022-11-23T01:32:37.3719250Z  - 
2022-11-23T01:32:37.3719372Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3719433Z             {
2022-11-23T01:32:37.3719563Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3719668Z                 'code': None,
2022-11-23T01:32:37.3719873Z                 'obj_weakref': <weakref at 0x7f7106747a70; to 'Tensor' at 0x7f7106e15890>
2022-11-23T01:32:37.3720118Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3720239Z             }
2022-11-23T01:32:37.3720305Z             
2022-11-23T01:32:37.3720375Z  - 
2022-11-23T01:32:37.3720484Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.3720547Z             {
2022-11-23T01:32:37.3720689Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3720795Z                 'code': None,
2022-11-23T01:32:37.3721038Z                 'obj_weakref': <weakref at 0x7f71c221ab30; to 'Tensor' at 0x7f7106a477d0>
2022-11-23T01:32:37.3721285Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3721352Z             }
2022-11-23T01:32:37.3721415Z             
2022-11-23T01:32:37.3721470Z  - 
2022-11-23T01:32:37.3721600Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.3721665Z             {
2022-11-23T01:32:37.3721800Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3721972Z                 'code': ['___check_obj_id(model, 140123422275488)'],
2022-11-23T01:32:37.3722092Z                 'obj_weakref': None
2022-11-23T01:32:37.3722316Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.3722366Z             }
2022-11-23T01:32:37.3722429Z             
2022-11-23T01:32:37.3722497Z  - 
2022-11-23T01:32:37.3722616Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3722678Z             {
2022-11-23T01:32:37.3722815Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3723017Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3723134Z                 'obj_weakref': None
2022-11-23T01:32:37.3723353Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3723417Z             }
2022-11-23T01:32:37.3723482Z             
2022-11-23T01:32:37.3723551Z  - 
2022-11-23T01:32:37.3723682Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.3723734Z             {
2022-11-23T01:32:37.3723856Z                 'guard_types': None,
2022-11-23T01:32:37.3723961Z                 'code': None,
2022-11-23T01:32:37.3724076Z                 'obj_weakref': None
2022-11-23T01:32:37.3724194Z                 'guarded_class': None
2022-11-23T01:32:37.3724256Z             }
2022-11-23T01:32:37.3724317Z             
2022-11-23T01:32:37.3724566Z [2022-11-23 01:19:30,607] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 150
2022-11-23T01:32:37.3724935Z [2022-11-23 01:19:30,636] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zw/czwhqllc3jgvj56whfw5b3whsmmsmxpwflronelgqlpk77smbg3v.py
2022-11-23T01:32:37.3725194Z [2022-11-23 01:19:30,637] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 150
2022-11-23T01:32:37.3725200Z 
2022-11-23T01:32:37.3725292Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3725362Z import torch
2022-11-23T01:32:37.3725435Z import random
2022-11-23T01:32:37.3725550Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3725672Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3725677Z 
2022-11-23T01:32:37.3725743Z aten = torch.ops.aten
2022-11-23T01:32:37.3725874Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3725964Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3725969Z 
2022-11-23T01:32:37.3725974Z 
2022-11-23T01:32:37.3726107Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3726312Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3726436Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:37.3726538Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:37.3726637Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.3726719Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:37.3726842Z                        long* __restrict__ out_ptr2,
2022-11-23T01:32:37.3726938Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:37.3727029Z                        long* __restrict__ out_ptr4)
2022-11-23T01:32:37.3727090Z {
2022-11-23T01:32:37.3727186Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3727248Z     {
2022-11-23T01:32:37.3727312Z         #pragma omp for 
2022-11-23T01:32:37.3727393Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:37.3727482Z         {
2022-11-23T01:32:37.3727546Z             {
2022-11-23T01:32:37.3727610Z                 {
2022-11-23T01:32:37.3727703Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.3727793Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:37.3727887Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.3727992Z                     auto tmp3 = static_cast<float>(tmp2);
2022-11-23T01:32:37.3728081Z                     auto tmp4 = tmp1 / tmp3;
2022-11-23T01:32:37.3728331Z                     auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2);
2022-11-23T01:32:37.3728421Z                     auto tmp6 = tmp0 / tmp2;
2022-11-23T01:32:37.3728507Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:32:37.3728590Z                     out_ptr1[i0] = tmp5;
2022-11-23T01:32:37.3728658Z                     out_ptr2[i0] = tmp6;
2022-11-23T01:32:37.3728738Z                     out_ptr3[i0] = tmp4;
2022-11-23T01:32:37.3728820Z                     out_ptr4[i0] = tmp5;
2022-11-23T01:32:37.3728885Z                 }
2022-11-23T01:32:37.3728947Z             }
2022-11-23T01:32:37.3729009Z         }
2022-11-23T01:32:37.3729069Z     }
2022-11-23T01:32:37.3729116Z }
2022-11-23T01:32:37.3729193Z ''')
2022-11-23T01:32:37.3729197Z 
2022-11-23T01:32:37.3729201Z 
2022-11-23T01:32:37.3729291Z async_compile.wait(globals())
2022-11-23T01:32:37.3729363Z del async_compile
2022-11-23T01:32:37.3729367Z 
2022-11-23T01:32:37.3729439Z def call(args):
2022-11-23T01:32:37.3729513Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.3729586Z     args.clear()
2022-11-23T01:32:37.3729768Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3729957Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3730145Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3730333Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3730519Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3730774Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:37.3730844Z     del arg0_1
2022-11-23T01:32:37.3730908Z     del arg1_1
2022-11-23T01:32:37.3730992Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:37.3731010Z 
2022-11-23T01:32:37.3731014Z 
2022-11-23T01:32:37.3731077Z if __name__ == "__main__":
2022-11-23T01:32:37.3731190Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3731312Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3731500Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3731687Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3731802Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.3731807Z 
2022-11-23T01:32:37.3731875Z ok (0.138s)
2022-11-23T01:32:37.3732174Z   test_div5_cpu (__main__.CpuTests) ... [2022-11-23 01:19:30,645] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3732434Z [2022-11-23 01:19:30,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3732647Z [2022-11-23 01:19:30,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3732932Z [2022-11-23 01:19:30,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.3733216Z [2022-11-23 01:19:30,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.3733565Z [2022-11-23 01:19:30,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3733888Z [2022-11-23 01:19:30,646] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6477b70, file "inductor/test_torchinductor.py", line 1113> 
2022-11-23T01:32:37.3733983Z  1115           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3734074Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3734164Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3734239Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3734336Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:37.3734498Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3734590Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3734595Z 
2022-11-23T01:32:37.3734687Z 1116          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3734774Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3734866Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3734940Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3735080Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:37.3735239Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3735331Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3735336Z 
2022-11-23T01:32:37.3735426Z 1117          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3735512Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3735602Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3735688Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3735815Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:37.3735974Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3736066Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3736071Z 
2022-11-23T01:32:37.3736157Z 1118          42 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3736243Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3736325Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:37.3736330Z 
2022-11-23T01:32:37.3736416Z 1119          48 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3736500Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3736571Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:37.3736658Z               54 BUILD_TUPLE              5
2022-11-23T01:32:37.3736734Z               56 RETURN_VALUE
2022-11-23T01:32:37.3736794Z  
2022-11-23T01:32:37.3736799Z 
2022-11-23T01:32:37.3737068Z [2022-11-23 01:19:30,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1115
2022-11-23T01:32:37.3737284Z [2022-11-23 01:19:30,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.3737589Z [2022-11-23 01:19:30,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3737837Z [2022-11-23 01:19:30,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:37.3738097Z [2022-11-23 01:19:30,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3738414Z [2022-11-23 01:19:30,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.3738829Z [2022-11-23 01:19:30,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:37.3739237Z [2022-11-23 01:19:30,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:37.3739532Z [2022-11-23 01:19:30,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1116
2022-11-23T01:32:37.3739776Z [2022-11-23 01:19:30,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.3740104Z [2022-11-23 01:19:30,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3740378Z [2022-11-23 01:19:30,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:37.3740678Z [2022-11-23 01:19:30,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3741024Z [2022-11-23 01:19:30,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.3741429Z [2022-11-23 01:19:30,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:32:37.3741859Z [2022-11-23 01:19:30,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.3742112Z [2022-11-23 01:19:30,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1117
2022-11-23T01:32:37.3742383Z [2022-11-23 01:19:30,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3742738Z [2022-11-23 01:19:30,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3743040Z [2022-11-23 01:19:30,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:37.3743366Z [2022-11-23 01:19:30,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3743742Z [2022-11-23 01:19:30,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.3744176Z [2022-11-23 01:19:30,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:32:37.3744732Z [2022-11-23 01:19:30,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.3745004Z [2022-11-23 01:19:30,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1118
2022-11-23T01:32:37.3745296Z [2022-11-23 01:19:30,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3745613Z [2022-11-23 01:19:30,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3746026Z [2022-11-23 01:19:30,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.3746290Z [2022-11-23 01:19:30,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1119
2022-11-23T01:32:37.3746623Z [2022-11-23 01:19:30,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3746969Z [2022-11-23 01:19:30,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3747375Z [2022-11-23 01:19:30,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.3747725Z [2022-11-23 01:19:30,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3747971Z [2022-11-23 01:19:30,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3748301Z [2022-11-23 01:19:30,700] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6477b70, file "inductor/test_torchinductor.py", line 1113>
2022-11-23T01:32:37.3748543Z [2022-11-23 01:19:30,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3748777Z [2022-11-23 01:19:30,700] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3749029Z [2022-11-23 01:19:30,703] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3749275Z [2022-11-23 01:19:30,715] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3749453Z [2022-11-23 01:19:30,715] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3749584Z  __compiled_fn_152 <eval_with_key>.971 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3749675Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3749855Z call_function, div, aten.div, (ex_0_, 16), {'rounding_mode': None}
2022-11-23T01:32:37.3750044Z call_function, div_1, aten.div, (ex_0_, 16), {'rounding_mode': 'floor'}
2022-11-23T01:32:37.3750225Z call_function, div_2, aten.div, (ex_0_, 16), {'rounding_mode': 'trunc'}
2022-11-23T01:32:37.3750410Z call_function, truediv, <built-in function truediv>, (ex_0_, 16), {}
2022-11-23T01:32:37.3750601Z call_function, floordiv, <built-in function floordiv>, (ex_0_, 16), {}
2022-11-23T01:32:37.3750720Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:37.3750726Z 
2022-11-23T01:32:37.3751003Z [2022-11-23 01:19:30,716] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3751099Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3751188Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3751281Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3751370Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3751446Z               8 RETURN_VALUE
2022-11-23T01:32:37.3751451Z 
2022-11-23T01:32:37.3751513Z  
2022-11-23T01:32:37.3751775Z [2022-11-23 01:19:30,716] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3751882Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_152)
2022-11-23T01:32:37.3751973Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3752060Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3752136Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3752223Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.3752356Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.3752445Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3752533Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3752609Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.3752708Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3752796Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.3752900Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.3752999Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3753085Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:37.3753147Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.3753245Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3753330Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:37.3753404Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.3753504Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3753590Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:37.3753662Z              40 BINARY_SUBSCR
2022-11-23T01:32:37.3753736Z              42 BUILD_TUPLE              5
2022-11-23T01:32:37.3753810Z              44 RETURN_VALUE
2022-11-23T01:32:37.3753815Z 
2022-11-23T01:32:37.3753875Z  
2022-11-23T01:32:37.3754059Z [2022-11-23 01:19:30,718] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3754129Z  - 
2022-11-23T01:32:37.3754246Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3754310Z             {
2022-11-23T01:32:37.3754437Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3754624Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.3754742Z                 'obj_weakref': None
2022-11-23T01:32:37.3754965Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3755032Z             }
2022-11-23T01:32:37.3755094Z             
2022-11-23T01:32:37.3755161Z  - 
2022-11-23T01:32:37.3755271Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3755333Z             {
2022-11-23T01:32:37.3755474Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3755579Z                 'code': None,
2022-11-23T01:32:37.3755785Z                 'obj_weakref': <weakref at 0x7f71070c2110; to 'Tensor' at 0x7f71070fc710>
2022-11-23T01:32:37.3756037Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3756102Z             }
2022-11-23T01:32:37.3756151Z             
2022-11-23T01:32:37.3756218Z  - 
2022-11-23T01:32:37.3756345Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:37.3756408Z             {
2022-11-23T01:32:37.3756547Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.3756734Z                 'code': ['___check_type_id(ex[1], 94279403915040)', 'ex[1] == 16'],
2022-11-23T01:32:37.3756852Z                 'obj_weakref': None
2022-11-23T01:32:37.3757057Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:37.3757236Z             }
2022-11-23T01:32:37.3757300Z             
2022-11-23T01:32:37.3757375Z  - 
2022-11-23T01:32:37.3757505Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.3757569Z             {
2022-11-23T01:32:37.3757706Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3757862Z                 'code': ['___check_obj_id(model, 140123523564464)'],
2022-11-23T01:32:37.3757979Z                 'obj_weakref': None
2022-11-23T01:32:37.3758204Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.3758269Z             }
2022-11-23T01:32:37.3758334Z             
2022-11-23T01:32:37.3758404Z  - 
2022-11-23T01:32:37.3758531Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3758631Z             {
2022-11-23T01:32:37.3758768Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3758987Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3759105Z                 'obj_weakref': None
2022-11-23T01:32:37.3759325Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3759388Z             }
2022-11-23T01:32:37.3759452Z             
2022-11-23T01:32:37.3759565Z  - 
2022-11-23T01:32:37.3759698Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.3759760Z             {
2022-11-23T01:32:37.3759880Z                 'guard_types': None,
2022-11-23T01:32:37.3759984Z                 'code': None,
2022-11-23T01:32:37.3760102Z                 'obj_weakref': None
2022-11-23T01:32:37.3760221Z                 'guarded_class': None
2022-11-23T01:32:37.3760271Z             }
2022-11-23T01:32:37.3760334Z             
2022-11-23T01:32:37.3760593Z [2022-11-23 01:19:30,735] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 151
2022-11-23T01:32:37.3760965Z [2022-11-23 01:19:33,271] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lg/clgjbwipkjyomsl27unia6mm4zk5otqhnuh556adix4wscv6ggna.py
2022-11-23T01:32:37.3761228Z [2022-11-23 01:19:33,272] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 151
2022-11-23T01:32:37.3761233Z 
2022-11-23T01:32:37.3761328Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3761396Z import torch
2022-11-23T01:32:37.3761453Z import random
2022-11-23T01:32:37.3761568Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3761688Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3761693Z 
2022-11-23T01:32:37.3761772Z aten = torch.ops.aten
2022-11-23T01:32:37.3761907Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3761999Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3762006Z 
2022-11-23T01:32:37.3762011Z 
2022-11-23T01:32:37.3762144Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3762351Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3762467Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:37.3762555Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.3762647Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:37.3762740Z                        long* __restrict__ out_ptr2,
2022-11-23T01:32:37.3762836Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:37.3762926Z                        long* __restrict__ out_ptr4)
2022-11-23T01:32:37.3762986Z {
2022-11-23T01:32:37.3763082Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3763130Z     {
2022-11-23T01:32:37.3763206Z         #pragma omp for 
2022-11-23T01:32:37.3763288Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:37.3763350Z         {
2022-11-23T01:32:37.3763419Z             {
2022-11-23T01:32:37.3763483Z                 {
2022-11-23T01:32:37.3763562Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.3763668Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.3763769Z                     auto tmp2 = static_cast<float>(16);
2022-11-23T01:32:37.3763858Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:37.3763959Z                     auto tmp4 = static_cast<long>(16);
2022-11-23T01:32:37.3764215Z                     auto tmp5 = ((tmp0 < 0) != (tmp4 < 0) ? (tmp0 % tmp4 != 0 ? tmp0 / tmp4 - 1 : tmp0 / tmp4) : tmp0 / tmp4);
2022-11-23T01:32:37.3764306Z                     auto tmp6 = tmp0 / tmp4;
2022-11-23T01:32:37.3764391Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:37.3764461Z                     out_ptr1[i0] = tmp5;
2022-11-23T01:32:37.3764541Z                     out_ptr2[i0] = tmp6;
2022-11-23T01:32:37.3764621Z                     out_ptr3[i0] = tmp3;
2022-11-23T01:32:37.3764731Z                     out_ptr4[i0] = tmp5;
2022-11-23T01:32:37.3764797Z                 }
2022-11-23T01:32:37.3764862Z             }
2022-11-23T01:32:37.3764924Z         }
2022-11-23T01:32:37.3764972Z     }
2022-11-23T01:32:37.3765031Z }
2022-11-23T01:32:37.3765109Z ''')
2022-11-23T01:32:37.3765114Z 
2022-11-23T01:32:37.3765118Z 
2022-11-23T01:32:37.3765212Z async_compile.wait(globals())
2022-11-23T01:32:37.3765282Z del async_compile
2022-11-23T01:32:37.3765287Z 
2022-11-23T01:32:37.3765383Z def call(args):
2022-11-23T01:32:37.3765456Z     arg0_1, = args
2022-11-23T01:32:37.3765514Z     args.clear()
2022-11-23T01:32:37.3765710Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3765903Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3766089Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3766279Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3766466Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3766705Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:37.3766773Z     del arg0_1
2022-11-23T01:32:37.3766856Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:37.3766861Z 
2022-11-23T01:32:37.3766866Z 
2022-11-23T01:32:37.3766943Z if __name__ == "__main__":
2022-11-23T01:32:37.3767057Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3767176Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3767365Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3767470Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.3767475Z 
2022-11-23T01:32:37.3767540Z ok (2.637s)
2022-11-23T01:32:37.3767837Z   test_div6_cpu (__main__.CpuTests) ... [2022-11-23 01:19:33,286] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3768098Z [2022-11-23 01:19:33,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3768314Z [2022-11-23 01:19:33,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3768569Z [2022-11-23 01:19:33,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.3768858Z [2022-11-23 01:19:33,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.3769182Z [2022-11-23 01:19:33,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3769505Z [2022-11-23 01:19:33,287] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6477c90, file "inductor/test_torchinductor.py", line 1126> 
2022-11-23T01:32:37.3769602Z  1128           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3769695Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3769786Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3769861Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3769952Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:37.3770115Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3770207Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3770212Z 
2022-11-23T01:32:37.3770304Z 1129          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3770391Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3770483Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3770569Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3770697Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:37.3770885Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3770976Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3770981Z 
2022-11-23T01:32:37.3771072Z 1130          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3771159Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3771247Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3771333Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3771491Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:37.3771651Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3771742Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3771746Z 
2022-11-23T01:32:37.3771831Z 1131          42 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3771916Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3771998Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:37.3772006Z 
2022-11-23T01:32:37.3772093Z 1132          48 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3772178Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3772249Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:37.3772336Z               54 BUILD_TUPLE              5
2022-11-23T01:32:37.3772410Z               56 RETURN_VALUE
2022-11-23T01:32:37.3772470Z  
2022-11-23T01:32:37.3772475Z 
2022-11-23T01:32:37.3772744Z [2022-11-23 01:19:33,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1128
2022-11-23T01:32:37.3772960Z [2022-11-23 01:19:33,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.3773263Z [2022-11-23 01:19:33,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3773511Z [2022-11-23 01:19:33,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:37.3773776Z [2022-11-23 01:19:33,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3774080Z [2022-11-23 01:19:33,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3774456Z [2022-11-23 01:19:33,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.3774853Z [2022-11-23 01:19:33,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:37.3775115Z [2022-11-23 01:19:33,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1129
2022-11-23T01:32:37.3775358Z [2022-11-23 01:19:33,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.3775688Z [2022-11-23 01:19:33,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3775962Z [2022-11-23 01:19:33,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:37.3776267Z [2022-11-23 01:19:33,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3776602Z [2022-11-23 01:19:33,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3776994Z [2022-11-23 01:19:33,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:37.3777445Z [2022-11-23 01:19:33,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.3777699Z [2022-11-23 01:19:33,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1130
2022-11-23T01:32:37.3777996Z [2022-11-23 01:19:33,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3778354Z [2022-11-23 01:19:33,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3778654Z [2022-11-23 01:19:33,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:37.3778981Z [2022-11-23 01:19:33,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3779348Z [2022-11-23 01:19:33,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3779772Z [2022-11-23 01:19:33,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:37.3780224Z [2022-11-23 01:19:33,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.3780489Z [2022-11-23 01:19:33,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1131
2022-11-23T01:32:37.3780784Z [2022-11-23 01:19:33,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3781102Z [2022-11-23 01:19:33,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3781470Z [2022-11-23 01:19:33,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3781722Z [2022-11-23 01:19:33,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1132
2022-11-23T01:32:37.3782036Z [2022-11-23 01:19:33,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3782377Z [2022-11-23 01:19:33,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3782776Z [2022-11-23 01:19:33,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3783128Z [2022-11-23 01:19:33,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3783373Z [2022-11-23 01:19:33,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3783702Z [2022-11-23 01:19:33,342] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6477c90, file "inductor/test_torchinductor.py", line 1126>
2022-11-23T01:32:37.3783943Z [2022-11-23 01:19:33,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3784176Z [2022-11-23 01:19:33,342] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3784543Z [2022-11-23 01:19:33,344] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3784798Z [2022-11-23 01:19:33,358] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3784973Z [2022-11-23 01:19:33,358] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3785139Z  __compiled_fn_153 <eval_with_key>.977 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3785234Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3785321Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.3785507Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:37.3785697Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:37.3785888Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:37.3786078Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.3786260Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.3786390Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:37.3786396Z 
2022-11-23T01:32:37.3786675Z [2022-11-23 01:19:33,359] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3786767Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3786858Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3786949Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3787039Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3787113Z               8 RETURN_VALUE
2022-11-23T01:32:37.3787119Z 
2022-11-23T01:32:37.3787166Z  
2022-11-23T01:32:37.3787442Z [2022-11-23 01:19:33,359] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3787550Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_153)
2022-11-23T01:32:37.3787641Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3787729Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3787805Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3787891Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3787965Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.3788040Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.3788130Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.3788234Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.3788336Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3788422Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3788497Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.3788582Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3788669Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.3788745Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.3788844Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3788928Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:37.3789001Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.3789099Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3789185Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:37.3789247Z              40 BINARY_SUBSCR
2022-11-23T01:32:37.3789344Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3789432Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:37.3789507Z              46 BINARY_SUBSCR
2022-11-23T01:32:37.3789592Z              48 BUILD_TUPLE              5
2022-11-23T01:32:37.3789670Z              50 RETURN_VALUE
2022-11-23T01:32:37.3789675Z 
2022-11-23T01:32:37.3789735Z  
2022-11-23T01:32:37.3789906Z [2022-11-23 01:19:33,361] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3790005Z  - 
2022-11-23T01:32:37.3790123Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3790185Z             {
2022-11-23T01:32:37.3790325Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3790509Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.3790627Z                 'obj_weakref': None
2022-11-23T01:32:37.3790865Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3790930Z             }
2022-11-23T01:32:37.3790994Z             
2022-11-23T01:32:37.3791062Z  - 
2022-11-23T01:32:37.3791185Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3791247Z             {
2022-11-23T01:32:37.3791389Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3791482Z                 'code': None,
2022-11-23T01:32:37.3791689Z                 'obj_weakref': <weakref at 0x7f719bfe76b0; to 'Tensor' at 0x7f7106bdb350>
2022-11-23T01:32:37.3791938Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3792001Z             }
2022-11-23T01:32:37.3792063Z             
2022-11-23T01:32:37.3792131Z  - 
2022-11-23T01:32:37.3792252Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.3792302Z             {
2022-11-23T01:32:37.3792442Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3792550Z                 'code': None,
2022-11-23T01:32:37.3792751Z                 'obj_weakref': <weakref at 0x7f71188f0290; to 'Tensor' at 0x7f7106db22f0>
2022-11-23T01:32:37.3792994Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3793058Z             }
2022-11-23T01:32:37.3793120Z             
2022-11-23T01:32:37.3793174Z  - 
2022-11-23T01:32:37.3793303Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.3793366Z             {
2022-11-23T01:32:37.3793540Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3793790Z                 'code': ['___check_obj_id(model, 140123088047136)'],
2022-11-23T01:32:37.3793917Z                 'obj_weakref': None
2022-11-23T01:32:37.3794145Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.3794196Z             }
2022-11-23T01:32:37.3794258Z             
2022-11-23T01:32:37.3794324Z  - 
2022-11-23T01:32:37.3794448Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3794511Z             {
2022-11-23T01:32:37.3794644Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3794860Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3794965Z                 'obj_weakref': None
2022-11-23T01:32:37.3795183Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3795244Z             }
2022-11-23T01:32:37.3795309Z             
2022-11-23T01:32:37.3795377Z  - 
2022-11-23T01:32:37.3795507Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.3795569Z             {
2022-11-23T01:32:37.3795674Z                 'guard_types': None,
2022-11-23T01:32:37.3795779Z                 'code': None,
2022-11-23T01:32:37.3795893Z                 'obj_weakref': None
2022-11-23T01:32:37.3796012Z                 'guarded_class': None
2022-11-23T01:32:37.3796073Z             }
2022-11-23T01:32:37.3796136Z             
2022-11-23T01:32:37.3796397Z [2022-11-23 01:19:33,380] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 152
2022-11-23T01:32:37.3796752Z [2022-11-23 01:19:35,911] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/32/c323ip3ntgdzkaukmtmcmb2d2eovh7ujgnx7gxhl722rnkfzl6q7.py
2022-11-23T01:32:37.3797014Z [2022-11-23 01:19:35,911] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 152
2022-11-23T01:32:37.3797020Z 
2022-11-23T01:32:37.3797260Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3797331Z import torch
2022-11-23T01:32:37.3797401Z import random
2022-11-23T01:32:37.3797516Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3797639Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3797645Z 
2022-11-23T01:32:37.3797724Z aten = torch.ops.aten
2022-11-23T01:32:37.3797845Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3797988Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3797993Z 
2022-11-23T01:32:37.3797998Z 
2022-11-23T01:32:37.3798135Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3798342Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3798460Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T01:32:37.3798563Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:37.3798663Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.3798762Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:37.3798842Z                        long* __restrict__ out_ptr2,
2022-11-23T01:32:37.3798938Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:37.3799032Z                        long* __restrict__ out_ptr4)
2022-11-23T01:32:37.3799095Z {
2022-11-23T01:32:37.3799193Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3799255Z     {
2022-11-23T01:32:37.3799338Z         #pragma omp for 
2022-11-23T01:32:37.3799408Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:37.3799471Z         {
2022-11-23T01:32:37.3799535Z             {
2022-11-23T01:32:37.3799600Z                 {
2022-11-23T01:32:37.3799692Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.3799784Z                     auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.3799876Z                     auto tmp1 = static_cast<long>(tmp0);
2022-11-23T01:32:37.3799983Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:32:37.3800092Z                     auto tmp4 = static_cast<float>(tmp3);
2022-11-23T01:32:37.3800181Z                     auto tmp5 = tmp2 / tmp4;
2022-11-23T01:32:37.3800432Z                     auto tmp6 = ((tmp1 < 0) != (tmp3 < 0) ? (tmp1 % tmp3 != 0 ? tmp1 / tmp3 - 1 : tmp1 / tmp3) : tmp1 / tmp3);
2022-11-23T01:32:37.3800520Z                     auto tmp7 = tmp1 / tmp3;
2022-11-23T01:32:37.3800623Z                     auto tmp8 = static_cast<float>(tmp0);
2022-11-23T01:32:37.3800712Z                     auto tmp9 = tmp8 / tmp4;
2022-11-23T01:32:37.3800784Z                     out_ptr0[i0] = tmp5;
2022-11-23T01:32:37.3800864Z                     out_ptr1[i0] = tmp6;
2022-11-23T01:32:37.3800945Z                     out_ptr2[i0] = tmp7;
2022-11-23T01:32:37.3801026Z                     out_ptr3[i0] = tmp9;
2022-11-23T01:32:37.3801106Z                     out_ptr4[i0] = tmp6;
2022-11-23T01:32:37.3801169Z                 }
2022-11-23T01:32:37.3801232Z             }
2022-11-23T01:32:37.3801285Z         }
2022-11-23T01:32:37.3801344Z     }
2022-11-23T01:32:37.3801402Z }
2022-11-23T01:32:37.3801478Z ''')
2022-11-23T01:32:37.3801484Z 
2022-11-23T01:32:37.3801488Z 
2022-11-23T01:32:37.3801576Z async_compile.wait(globals())
2022-11-23T01:32:37.3801647Z del async_compile
2022-11-23T01:32:37.3801652Z 
2022-11-23T01:32:37.3801721Z def call(args):
2022-11-23T01:32:37.3801788Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.3801858Z     args.clear()
2022-11-23T01:32:37.3802055Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3802246Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3802427Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3802620Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3802803Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3803106Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:37.3803162Z     del arg0_1
2022-11-23T01:32:37.3803228Z     del arg1_1
2022-11-23T01:32:37.3803323Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:37.3803328Z 
2022-11-23T01:32:37.3803332Z 
2022-11-23T01:32:37.3803411Z if __name__ == "__main__":
2022-11-23T01:32:37.3803597Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3803720Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3803908Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.3804098Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3804207Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.3804215Z 
2022-11-23T01:32:37.3804317Z ok (2.640s)
2022-11-23T01:32:37.3804745Z   test_div7_cpu (__main__.CpuTests) ... [2022-11-23 01:19:35,931] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3805089Z [2022-11-23 01:19:35,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3805308Z [2022-11-23 01:19:35,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3805565Z [2022-11-23 01:19:35,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.3805851Z [2022-11-23 01:19:35,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.3806174Z [2022-11-23 01:19:35,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3806505Z [2022-11-23 01:19:35,932] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6477db0, file "inductor/test_torchinductor.py", line 1142> 
2022-11-23T01:32:37.3806590Z  1144           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3806682Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3806774Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3806863Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3806957Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:37.3807120Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3807213Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3807218Z 
2022-11-23T01:32:37.3807310Z 1145          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3807385Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3807471Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3807561Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3807708Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:37.3807869Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3807962Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3807967Z 
2022-11-23T01:32:37.3808058Z 1146          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3808146Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3808221Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3808308Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3808448Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:37.3808606Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3808696Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3808701Z 
2022-11-23T01:32:37.3808785Z 1147          42 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3808871Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3808941Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:37.3808991Z 
2022-11-23T01:32:37.3809078Z 1148          48 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3809163Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3809247Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:37.3809334Z               54 BUILD_TUPLE              5
2022-11-23T01:32:37.3809414Z               56 RETURN_VALUE
2022-11-23T01:32:37.3809476Z  
2022-11-23T01:32:37.3809482Z 
2022-11-23T01:32:37.3809778Z [2022-11-23 01:19:35,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1144
2022-11-23T01:32:37.3809984Z [2022-11-23 01:19:35,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.3810285Z [2022-11-23 01:19:35,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3810532Z [2022-11-23 01:19:35,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:37.3810806Z [2022-11-23 01:19:35,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3811114Z [2022-11-23 01:19:35,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3811491Z [2022-11-23 01:19:35,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.3811889Z [2022-11-23 01:19:35,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:37.3812154Z [2022-11-23 01:19:35,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1145
2022-11-23T01:32:37.3812396Z [2022-11-23 01:19:35,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.3812727Z [2022-11-23 01:19:35,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3812989Z [2022-11-23 01:19:35,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:37.3813294Z [2022-11-23 01:19:35,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3813629Z [2022-11-23 01:19:35,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3814019Z [2022-11-23 01:19:35,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:37.3814445Z [2022-11-23 01:19:35,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.3814709Z [2022-11-23 01:19:35,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1146
2022-11-23T01:32:37.3814981Z [2022-11-23 01:19:35,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3815336Z [2022-11-23 01:19:35,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3815635Z [2022-11-23 01:19:35,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:37.3815963Z [2022-11-23 01:19:35,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3816356Z [2022-11-23 01:19:35,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3816810Z [2022-11-23 01:19:35,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:37.3817264Z [2022-11-23 01:19:35,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.3817518Z [2022-11-23 01:19:35,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1147
2022-11-23T01:32:37.3817812Z [2022-11-23 01:19:35,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3818129Z [2022-11-23 01:19:35,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3818496Z [2022-11-23 01:19:35,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3818760Z [2022-11-23 01:19:35,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1148
2022-11-23T01:32:37.3819074Z [2022-11-23 01:19:35,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3819414Z [2022-11-23 01:19:35,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3819810Z [2022-11-23 01:19:35,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3820161Z [2022-11-23 01:19:35,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3820404Z [2022-11-23 01:19:35,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3820732Z [2022-11-23 01:19:35,987] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6477db0, file "inductor/test_torchinductor.py", line 1142>
2022-11-23T01:32:37.3820974Z [2022-11-23 01:19:35,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3821195Z [2022-11-23 01:19:35,987] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3821446Z [2022-11-23 01:19:35,989] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3821691Z [2022-11-23 01:19:36,003] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3821877Z [2022-11-23 01:19:36,004] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3822010Z  __compiled_fn_154 <eval_with_key>.983 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3822099Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3822185Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.3822370Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:37.3822546Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:37.3822732Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:37.3822950Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.3823145Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.3823279Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:37.3823285Z 
2022-11-23T01:32:37.3823561Z [2022-11-23 01:19:36,004] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3823687Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3823779Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3823858Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3823947Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3824023Z               8 RETURN_VALUE
2022-11-23T01:32:37.3824028Z 
2022-11-23T01:32:37.3824089Z  
2022-11-23T01:32:37.3824366Z [2022-11-23 01:19:36,005] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3824571Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_154)
2022-11-23T01:32:37.3824665Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3824755Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3824818Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3824907Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3824997Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.3825077Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.3825170Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.3825274Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.3825376Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3825451Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3825528Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.3825626Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3825718Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.3825797Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.3825898Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3825986Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:37.3826048Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.3826149Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3826236Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:37.3826309Z              40 BINARY_SUBSCR
2022-11-23T01:32:37.3826404Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3826493Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:37.3826567Z              46 BINARY_SUBSCR
2022-11-23T01:32:37.3826642Z              48 BUILD_TUPLE              5
2022-11-23T01:32:37.3826715Z              50 RETURN_VALUE
2022-11-23T01:32:37.3826720Z 
2022-11-23T01:32:37.3826779Z  
2022-11-23T01:32:37.3826966Z [2022-11-23 01:19:36,006] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3827033Z  - 
2022-11-23T01:32:37.3827150Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3827213Z             {
2022-11-23T01:32:37.3827339Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3827523Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.3827640Z                 'obj_weakref': None
2022-11-23T01:32:37.3827867Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3827932Z             }
2022-11-23T01:32:37.3827995Z             
2022-11-23T01:32:37.3828062Z  - 
2022-11-23T01:32:37.3828172Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3828234Z             {
2022-11-23T01:32:37.3828375Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3828480Z                 'code': None,
2022-11-23T01:32:37.3828689Z                 'obj_weakref': <weakref at 0x7f7106db2770; to 'Tensor' at 0x7f710cd90b30>
2022-11-23T01:32:37.3828979Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3829041Z             }
2022-11-23T01:32:37.3829092Z             
2022-11-23T01:32:37.3829160Z  - 
2022-11-23T01:32:37.3829281Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.3829345Z             {
2022-11-23T01:32:37.3829485Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3829618Z                 'code': None,
2022-11-23T01:32:37.3829824Z                 'obj_weakref': <weakref at 0x7f7129e72bf0; to 'Tensor' at 0x7f7106c32050>
2022-11-23T01:32:37.3830053Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3830115Z             }
2022-11-23T01:32:37.3830177Z             
2022-11-23T01:32:37.3830244Z  - 
2022-11-23T01:32:37.3830375Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.3830440Z             {
2022-11-23T01:32:37.3830574Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3830729Z                 'code': ['___check_obj_id(model, 140123423618688)'],
2022-11-23T01:32:37.3830845Z                 'obj_weakref': None
2022-11-23T01:32:37.3831071Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.3831134Z             }
2022-11-23T01:32:37.3831197Z             
2022-11-23T01:32:37.3831267Z  - 
2022-11-23T01:32:37.3831388Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3831438Z             {
2022-11-23T01:32:37.3831572Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3831786Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3831902Z                 'obj_weakref': None
2022-11-23T01:32:37.3832117Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3832184Z             }
2022-11-23T01:32:37.3832247Z             
2022-11-23T01:32:37.3832301Z  - 
2022-11-23T01:32:37.3832432Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.3832493Z             {
2022-11-23T01:32:37.3832610Z                 'guard_types': None,
2022-11-23T01:32:37.3832716Z                 'code': None,
2022-11-23T01:32:37.3832832Z                 'obj_weakref': None
2022-11-23T01:32:37.3832951Z                 'guarded_class': None
2022-11-23T01:32:37.3833003Z             }
2022-11-23T01:32:37.3833064Z             
2022-11-23T01:32:37.3833326Z [2022-11-23 01:19:36,025] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 153
2022-11-23T01:32:37.3833700Z [2022-11-23 01:19:38,548] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hp/chpwd6sruoqq3mhsivq7mecrlyfz5p2z7wqvbnkyoleghyu7qjnw.py
2022-11-23T01:32:37.3833961Z [2022-11-23 01:19:38,549] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 153
2022-11-23T01:32:37.3833970Z 
2022-11-23T01:32:37.3834064Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3834133Z import torch
2022-11-23T01:32:37.3834202Z import random
2022-11-23T01:32:37.3834304Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3834425Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3834430Z 
2022-11-23T01:32:37.3834507Z aten = torch.ops.aten
2022-11-23T01:32:37.3834642Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3834734Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3834738Z 
2022-11-23T01:32:37.3834743Z 
2022-11-23T01:32:37.3834875Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3835078Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3835195Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:37.3835284Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:37.3835409Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.3835504Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:37.3835596Z                        long* __restrict__ out_ptr2,
2022-11-23T01:32:37.3835691Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:37.3835782Z                        long* __restrict__ out_ptr4)
2022-11-23T01:32:37.3835843Z {
2022-11-23T01:32:37.3835928Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3836013Z     {
2022-11-23T01:32:37.3836092Z         #pragma omp for 
2022-11-23T01:32:37.3836174Z         for(long i0=0; i0<10000; i0+=1)
2022-11-23T01:32:37.3836237Z         {
2022-11-23T01:32:37.3836300Z             {
2022-11-23T01:32:37.3836365Z                 {
2022-11-23T01:32:37.3836444Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.3836534Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:37.3836642Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.3836749Z                     auto tmp3 = static_cast<float>(tmp2);
2022-11-23T01:32:37.3836839Z                     auto tmp4 = tmp1 / tmp3;
2022-11-23T01:32:37.3837090Z                     auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2);
2022-11-23T01:32:37.3837328Z                     auto tmp6 = tmp0 / tmp2;
2022-11-23T01:32:37.3837400Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:32:37.3837487Z                     out_ptr1[i0] = tmp5;
2022-11-23T01:32:37.3837574Z                     out_ptr2[i0] = tmp6;
2022-11-23T01:32:37.3837656Z                     out_ptr3[i0] = tmp4;
2022-11-23T01:32:37.3837738Z                     out_ptr4[i0] = tmp5;
2022-11-23T01:32:37.3837804Z                 }
2022-11-23T01:32:37.3837869Z             }
2022-11-23T01:32:37.3837919Z         }
2022-11-23T01:32:37.3837983Z     }
2022-11-23T01:32:37.3838044Z }
2022-11-23T01:32:37.3838124Z ''')
2022-11-23T01:32:37.3838129Z 
2022-11-23T01:32:37.3838136Z 
2022-11-23T01:32:37.3838227Z async_compile.wait(globals())
2022-11-23T01:32:37.3838300Z del async_compile
2022-11-23T01:32:37.3838305Z 
2022-11-23T01:32:37.3838376Z def call(args):
2022-11-23T01:32:37.3838438Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.3838511Z     args.clear()
2022-11-23T01:32:37.3838715Z     buf0 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3838916Z     buf1 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3839116Z     buf2 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3839316Z     buf3 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3839509Z     buf4 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3839765Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:37.3839835Z     del arg0_1
2022-11-23T01:32:37.3839888Z     del arg1_1
2022-11-23T01:32:37.3839984Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:37.3839989Z 
2022-11-23T01:32:37.3839994Z 
2022-11-23T01:32:37.3840069Z if __name__ == "__main__":
2022-11-23T01:32:37.3840182Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3840301Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3840501Z     arg0_1 = rand_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3840698Z     arg1_1 = rand_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3840800Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.3840818Z 
2022-11-23T01:32:37.3840872Z ok (2.648s)
2022-11-23T01:32:37.3841169Z   test_div8_cpu (__main__.CpuTests) ... [2022-11-23 01:19:38,571] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3841497Z [2022-11-23 01:19:38,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3841711Z [2022-11-23 01:19:38,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3841962Z [2022-11-23 01:19:38,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.3842283Z [2022-11-23 01:19:38,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.3842611Z [2022-11-23 01:19:38,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3842941Z [2022-11-23 01:19:38,572] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6477ed0, file "inductor/test_torchinductor.py", line 1160> 
2022-11-23T01:32:37.3843036Z  1162           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3843117Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3843208Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3843297Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3843389Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:37.3843551Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3843643Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3843651Z 
2022-11-23T01:32:37.3843741Z 1163          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3843817Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3843906Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3843995Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3844136Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:37.3844296Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3844393Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3844398Z 
2022-11-23T01:32:37.3844490Z 1164          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3844580Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3844655Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3844743Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3844885Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:37.3845044Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3845137Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3845142Z 
2022-11-23T01:32:37.3845226Z 1165          42 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3845312Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3845392Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:37.3845397Z 
2022-11-23T01:32:37.3845472Z 1166          48 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3845559Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3845640Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:37.3845729Z               54 BUILD_TUPLE              5
2022-11-23T01:32:37.3845803Z               56 RETURN_VALUE
2022-11-23T01:32:37.3845865Z  
2022-11-23T01:32:37.3845870Z 
2022-11-23T01:32:37.3846139Z [2022-11-23 01:19:38,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1162
2022-11-23T01:32:37.3846343Z [2022-11-23 01:19:38,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.3846646Z [2022-11-23 01:19:38,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3846895Z [2022-11-23 01:19:38,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:37.3847177Z [2022-11-23 01:19:38,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), ConstantVariable(int)]
2022-11-23T01:32:37.3847532Z [2022-11-23 01:19:38,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.3847923Z [2022-11-23 01:19:38,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:37.3848378Z [2022-11-23 01:19:38,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:37.3848645Z [2022-11-23 01:19:38,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1163
2022-11-23T01:32:37.3848888Z [2022-11-23 01:19:38,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.3849214Z [2022-11-23 01:19:38,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3849487Z [2022-11-23 01:19:38,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:37.3849783Z [2022-11-23 01:19:38,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int)]
2022-11-23T01:32:37.3850140Z [2022-11-23 01:19:38,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.3850552Z [2022-11-23 01:19:38,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:32:37.3850992Z [2022-11-23 01:19:38,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.3851261Z [2022-11-23 01:19:38,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1164
2022-11-23T01:32:37.3851531Z [2022-11-23 01:19:38,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3851893Z [2022-11-23 01:19:38,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3852194Z [2022-11-23 01:19:38,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:37.3852532Z [2022-11-23 01:19:38,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int)]
2022-11-23T01:32:37.3852920Z [2022-11-23 01:19:38,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.3853365Z [2022-11-23 01:19:38,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:32:37.3853834Z [2022-11-23 01:19:38,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.3854101Z [2022-11-23 01:19:38,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1165
2022-11-23T01:32:37.3854391Z [2022-11-23 01:19:38,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3854733Z [2022-11-23 01:19:38,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.3855145Z [2022-11-23 01:19:38,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.3855451Z [2022-11-23 01:19:38,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1166
2022-11-23T01:32:37.3855876Z [2022-11-23 01:19:38,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.3856245Z [2022-11-23 01:19:38,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:37.3856679Z [2022-11-23 01:19:38,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.3857059Z [2022-11-23 01:19:38,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:37.3857306Z [2022-11-23 01:19:38,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3857638Z [2022-11-23 01:19:38,620] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6477ed0, file "inductor/test_torchinductor.py", line 1160>
2022-11-23T01:32:37.3857879Z [2022-11-23 01:19:38,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3858115Z [2022-11-23 01:19:38,620] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3858354Z [2022-11-23 01:19:38,622] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3858602Z [2022-11-23 01:19:38,630] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3858790Z [2022-11-23 01:19:38,630] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3858926Z  __compiled_fn_155 <eval_with_key>.989 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3859108Z call_function, div, aten.div, (1024, 100), {'rounding_mode': None}
2022-11-23T01:32:37.3859296Z call_function, div_1, aten.div, (1024, 100), {'rounding_mode': 'floor'}
2022-11-23T01:32:37.3859480Z call_function, div_2, aten.div, (1024, 100), {'rounding_mode': 'trunc'}
2022-11-23T01:32:37.3859590Z output, output, output, ((div, div_1, div_2),), {}
2022-11-23T01:32:37.3859595Z 
2022-11-23T01:32:37.3859873Z [2022-11-23 01:19:38,631] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3859953Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3860041Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3860133Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3860222Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3860297Z               8 RETURN_VALUE
2022-11-23T01:32:37.3860305Z 
2022-11-23T01:32:37.3860365Z  
2022-11-23T01:32:37.3860641Z [2022-11-23 01:19:38,631] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3860735Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_155)
2022-11-23T01:32:37.3860827Z               2 CALL_FUNCTION            0
2022-11-23T01:32:37.3860929Z               4 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.3861027Z               6 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3861151Z               8 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3861226Z              10 BINARY_SUBSCR
2022-11-23T01:32:37.3861326Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3861414Z              14 LOAD_CONST               2 (1)
2022-11-23T01:32:37.3861477Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.3861574Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3861687Z              20 LOAD_CONST               3 (2)
2022-11-23T01:32:37.3861763Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.3861852Z              24 LOAD_CONST               4 (10.24)
2022-11-23T01:32:37.3861938Z              26 LOAD_CONST               5 (10)
2022-11-23T01:32:37.3862024Z              28 BUILD_TUPLE              5
2022-11-23T01:32:37.3862086Z              30 RETURN_VALUE
2022-11-23T01:32:37.3862092Z 
2022-11-23T01:32:37.3862151Z  
2022-11-23T01:32:37.3862349Z [2022-11-23 01:19:38,633] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3862419Z  - 
2022-11-23T01:32:37.3862538Z             local 'ex' EQUALS_MATCH
2022-11-23T01:32:37.3862602Z             {
2022-11-23T01:32:37.3862769Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:37.3863078Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2', '___check_type_id(ex[0], 94279403915040)', '___check_type_id(ex[1], 94279403915040)', 'ex == (1024, 100)'],
2022-11-23T01:32:37.3863199Z                 'obj_weakref': None
2022-11-23T01:32:37.3863421Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3863486Z             }
2022-11-23T01:32:37.3863547Z             
2022-11-23T01:32:37.3863615Z  - 
2022-11-23T01:32:37.3863744Z             local 'ex[0]' CONSTANT_MATCH
2022-11-23T01:32:37.3863795Z             {
2022-11-23T01:32:37.3863936Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.3864126Z                 'code': ['___check_type_id(ex[0], 94279403915040)', 'ex[0] == 1024'],
2022-11-23T01:32:37.3864245Z                 'obj_weakref': None
2022-11-23T01:32:37.3864540Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:37.3864605Z             }
2022-11-23T01:32:37.3864668Z             
2022-11-23T01:32:37.3864724Z  - 
2022-11-23T01:32:37.3864855Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:37.3864919Z             {
2022-11-23T01:32:37.3865063Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.3865253Z                 'code': ['___check_type_id(ex[1], 94279403915040)', 'ex[1] == 100'],
2022-11-23T01:32:37.3865370Z                 'obj_weakref': None
2022-11-23T01:32:37.3865588Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:37.3865638Z             }
2022-11-23T01:32:37.3865702Z             
2022-11-23T01:32:37.3865771Z  - 
2022-11-23T01:32:37.3865904Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.3865968Z             {
2022-11-23T01:32:37.3866139Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3866388Z                 'code': ['___check_obj_id(model, 140123415611008)'],
2022-11-23T01:32:37.3866547Z                 'obj_weakref': None
2022-11-23T01:32:37.3866778Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.3866840Z             }
2022-11-23T01:32:37.3866904Z             
2022-11-23T01:32:37.3866971Z  - 
2022-11-23T01:32:37.3867091Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3867154Z             {
2022-11-23T01:32:37.3867277Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3867492Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3867609Z                 'obj_weakref': None
2022-11-23T01:32:37.3867827Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3867933Z             }
2022-11-23T01:32:37.3867994Z             
2022-11-23T01:32:37.3868062Z  - 
2022-11-23T01:32:37.3868180Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.3868244Z             {
2022-11-23T01:32:37.3868362Z                 'guard_types': None,
2022-11-23T01:32:37.3868466Z                 'code': None,
2022-11-23T01:32:37.3868582Z                 'obj_weakref': None
2022-11-23T01:32:37.3868733Z                 'guarded_class': None
2022-11-23T01:32:37.3868797Z             }
2022-11-23T01:32:37.3868846Z             
2022-11-23T01:32:37.3869111Z [2022-11-23 01:19:38,645] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 154
2022-11-23T01:32:37.3869483Z [2022-11-23 01:19:41,142] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t3/ct3rcykxbr22hviahpp2pahfhco4zrxvgbfpvqte43b2ixijilnf.py
2022-11-23T01:32:37.3869748Z [2022-11-23 01:19:41,142] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 154
2022-11-23T01:32:37.3869761Z 
2022-11-23T01:32:37.3869855Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3869923Z import torch
2022-11-23T01:32:37.3869992Z import random
2022-11-23T01:32:37.3870105Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3870214Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3870219Z 
2022-11-23T01:32:37.3870296Z aten = torch.ops.aten
2022-11-23T01:32:37.3870432Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3870523Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3870528Z 
2022-11-23T01:32:37.3870532Z 
2022-11-23T01:32:37.3870664Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3870869Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3870979Z extern "C" void kernel(long* __restrict__ out_ptr0,
2022-11-23T01:32:37.3871073Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:37.3871154Z                        long* __restrict__ out_ptr2)
2022-11-23T01:32:37.3871214Z {
2022-11-23T01:32:37.3871276Z     {
2022-11-23T01:32:37.3871341Z         {
2022-11-23T01:32:37.3871439Z             auto tmp0 = static_cast<long>(1024);
2022-11-23T01:32:37.3871538Z             auto tmp1 = static_cast<long>(100);
2022-11-23T01:32:37.3871623Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:37.3871688Z             out_ptr0[0] = tmp2;
2022-11-23T01:32:37.3871752Z         }
2022-11-23T01:32:37.3871815Z     }
2022-11-23T01:32:37.3871875Z     {
2022-11-23T01:32:37.3871937Z         {
2022-11-23T01:32:37.3872038Z             auto tmp0 = static_cast<long>(1024);
2022-11-23T01:32:37.3872124Z             auto tmp1 = static_cast<long>(100);
2022-11-23T01:32:37.3872365Z             auto tmp2 = ((tmp0 < 0) != (tmp1 < 0) ? (tmp0 % tmp1 != 0 ? tmp0 / tmp1 - 1 : tmp0 / tmp1) : tmp0 / tmp1);
2022-11-23T01:32:37.3872443Z             out_ptr1[0] = tmp2;
2022-11-23T01:32:37.3872508Z         }
2022-11-23T01:32:37.3872568Z     }
2022-11-23T01:32:37.3872630Z     {
2022-11-23T01:32:37.3872691Z         {
2022-11-23T01:32:37.3872778Z             auto tmp0 = static_cast<long>(1024);
2022-11-23T01:32:37.3872876Z             auto tmp1 = static_cast<long>(100);
2022-11-23T01:32:37.3872959Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:37.3873035Z             out_ptr2[0] = tmp2;
2022-11-23T01:32:37.3873096Z         }
2022-11-23T01:32:37.3873157Z     }
2022-11-23T01:32:37.3873219Z }
2022-11-23T01:32:37.3873285Z ''')
2022-11-23T01:32:37.3873290Z 
2022-11-23T01:32:37.3873294Z 
2022-11-23T01:32:37.3873381Z async_compile.wait(globals())
2022-11-23T01:32:37.3873454Z del async_compile
2022-11-23T01:32:37.3873458Z 
2022-11-23T01:32:37.3873528Z def call(args):
2022-11-23T01:32:37.3873705Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3873884Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3874087Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3874245Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:37.3874316Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:37.3874320Z 
2022-11-23T01:32:37.3874336Z 
2022-11-23T01:32:37.3874401Z if __name__ == "__main__":
2022-11-23T01:32:37.3874512Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3874661Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3874759Z     print_performance(lambda: call([]))
2022-11-23T01:32:37.3874764Z 
2022-11-23T01:32:37.3874832Z ok (2.580s)
2022-11-23T01:32:37.3875138Z   test_div_prim_cpu (__main__.CpuTests) ... [2022-11-23 01:19:41,155] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3875408Z [2022-11-23 01:19:41,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3875616Z [2022-11-23 01:19:41,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3875865Z [2022-11-23 01:19:41,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.3876147Z [2022-11-23 01:19:41,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.3876470Z [2022-11-23 01:19:41,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3876796Z [2022-11-23 01:19:41,155] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f647b1e0, file "inductor/test_torchinductor.py", line 1198> 
2022-11-23T01:32:37.3876893Z  1199           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.3876985Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:37.3877077Z                4 LOAD_ATTR                2 (prims)
2022-11-23T01:32:37.3877290Z                6 LOAD_METHOD              3 (div)
2022-11-23T01:32:37.3877368Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3877458Z               10 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3877547Z               12 CALL_METHOD              2
2022-11-23T01:32:37.3877636Z               14 BUILD_TUPLE              1
2022-11-23T01:32:37.3877715Z               16 RETURN_VALUE
2022-11-23T01:32:37.3877778Z  
2022-11-23T01:32:37.3877783Z 
2022-11-23T01:32:37.3878055Z [2022-11-23 01:19:41,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1199
2022-11-23T01:32:37.3878274Z [2022-11-23 01:19:41,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.3878626Z [2022-11-23 01:19:41,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.3878923Z [2022-11-23 01:19:41,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:37.3879231Z [2022-11-23 01:19:41,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:37.3879482Z [2022-11-23 01:19:41,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(prims.div)]
2022-11-23T01:32:37.3879764Z [2022-11-23 01:19:41,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(prims.div), TensorVariable()]
2022-11-23T01:32:37.3880073Z [2022-11-23 01:19:41,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3880313Z [2022-11-23 01:19:41,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:37.3880556Z [2022-11-23 01:19:41,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3880941Z [2022-11-23 01:19:41,172] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f647b1e0, file "inductor/test_torchinductor.py", line 1198>
2022-11-23T01:32:37.3881186Z [2022-11-23 01:19:41,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3881407Z [2022-11-23 01:19:41,172] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3881697Z [2022-11-23 01:19:41,174] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3881947Z [2022-11-23 01:19:41,180] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3882137Z [2022-11-23 01:19:41,180] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3882271Z  __compiled_fn_156 <eval_with_key>.995 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3882362Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3882452Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.3882562Z call_function, div, prims.div, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.3882644Z output, output, output, ((div,),), {}
2022-11-23T01:32:37.3882650Z 
2022-11-23T01:32:37.3882924Z [2022-11-23 01:19:41,181] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3883017Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3883108Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3883201Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3883290Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3883366Z               8 RETURN_VALUE
2022-11-23T01:32:37.3883371Z 
2022-11-23T01:32:37.3883432Z  
2022-11-23T01:32:37.3883692Z [2022-11-23 01:19:41,181] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3883798Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_156)
2022-11-23T01:32:37.3883891Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3883979Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3884054Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3884141Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3884228Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.3884290Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.3884379Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.3884483Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.3884584Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3884672Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3884746Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.3884832Z              24 BUILD_TUPLE              1
2022-11-23T01:32:37.3884894Z              26 RETURN_VALUE
2022-11-23T01:32:37.3884912Z 
2022-11-23T01:32:37.3884961Z  
2022-11-23T01:32:37.3885142Z [2022-11-23 01:19:41,182] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3885210Z  - 
2022-11-23T01:32:37.3885326Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3885391Z             {
2022-11-23T01:32:37.3885528Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3885700Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.3885819Z                 'obj_weakref': None
2022-11-23T01:32:37.3886040Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3886106Z             }
2022-11-23T01:32:37.3886168Z             
2022-11-23T01:32:37.3886257Z  - 
2022-11-23T01:32:37.3886380Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3886430Z             {
2022-11-23T01:32:37.3886570Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3886675Z                 'code': None,
2022-11-23T01:32:37.3886923Z                 'obj_weakref': <weakref at 0x7f71241b5110; to 'Tensor' at 0x7f71ce01a470>
2022-11-23T01:32:37.3887170Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3887235Z             }
2022-11-23T01:32:37.3887299Z             
2022-11-23T01:32:37.3887365Z  - 
2022-11-23T01:32:37.3887473Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.3887535Z             {
2022-11-23T01:32:37.3887702Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3887809Z                 'code': None,
2022-11-23T01:32:37.3888014Z                 'obj_weakref': <weakref at 0x7f71ce00b9b0; to 'Tensor' at 0x7f7129e72b30>
2022-11-23T01:32:37.3888258Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3888323Z             }
2022-11-23T01:32:37.3888372Z             
2022-11-23T01:32:37.3888441Z  - 
2022-11-23T01:32:37.3888574Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.3888641Z             {
2022-11-23T01:32:37.3888775Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3888944Z                 'code': ['___check_obj_id(model, 140123418624368)'],
2022-11-23T01:32:37.3889062Z                 'obj_weakref': None
2022-11-23T01:32:37.3889275Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.3889339Z             }
2022-11-23T01:32:37.3889405Z             
2022-11-23T01:32:37.3889472Z  - 
2022-11-23T01:32:37.3889591Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3889652Z             {
2022-11-23T01:32:37.3889774Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3889990Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3890106Z                 'obj_weakref': None
2022-11-23T01:32:37.3890323Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3890389Z             }
2022-11-23T01:32:37.3890450Z             
2022-11-23T01:32:37.3890517Z  - 
2022-11-23T01:32:37.3890635Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.3890696Z             {
2022-11-23T01:32:37.3890813Z                 'guard_types': None,
2022-11-23T01:32:37.3890917Z                 'code': None,
2022-11-23T01:32:37.3891031Z                 'obj_weakref': None
2022-11-23T01:32:37.3891152Z                 'guarded_class': None
2022-11-23T01:32:37.3891212Z             }
2022-11-23T01:32:37.3891262Z             
2022-11-23T01:32:37.3891519Z [2022-11-23 01:19:41,191] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 155
2022-11-23T01:32:37.3891886Z [2022-11-23 01:19:43,719] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rx/crxdgffqnvzf57jbnfbsiisqe3oj6pz244u77snplobmdcbqntsm.py
2022-11-23T01:32:37.3892149Z [2022-11-23 01:19:43,719] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 155
2022-11-23T01:32:37.3892384Z [2022-11-23 01:19:43,730] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3892646Z [2022-11-23 01:19:43,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3892865Z [2022-11-23 01:19:43,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3893115Z [2022-11-23 01:19:43,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.3893398Z [2022-11-23 01:19:43,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.3893706Z [2022-11-23 01:19:43,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3894028Z [2022-11-23 01:19:43,730] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f647b1e0, file "inductor/test_torchinductor.py", line 1198> 
2022-11-23T01:32:37.3894156Z  1199           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.3894247Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:37.3894338Z                4 LOAD_ATTR                2 (prims)
2022-11-23T01:32:37.3894431Z                6 LOAD_METHOD              3 (div)
2022-11-23T01:32:37.3894560Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3894649Z               10 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3894726Z               12 CALL_METHOD              2
2022-11-23T01:32:37.3894815Z               14 BUILD_TUPLE              1
2022-11-23T01:32:37.3894890Z               16 RETURN_VALUE
2022-11-23T01:32:37.3894949Z  
2022-11-23T01:32:37.3894955Z 
2022-11-23T01:32:37.3895220Z [2022-11-23 01:19:43,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1199
2022-11-23T01:32:37.3895438Z [2022-11-23 01:19:43,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.3895800Z [2022-11-23 01:19:43,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.3896096Z [2022-11-23 01:19:43,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:37.3896401Z [2022-11-23 01:19:43,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:37.3896639Z [2022-11-23 01:19:43,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(prims.div)]
2022-11-23T01:32:37.3896918Z [2022-11-23 01:19:43,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(prims.div), TensorVariable()]
2022-11-23T01:32:37.3897229Z [2022-11-23 01:19:43,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3897470Z [2022-11-23 01:19:43,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:37.3897714Z [2022-11-23 01:19:43,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3898046Z [2022-11-23 01:19:43,747] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f647b1e0, file "inductor/test_torchinductor.py", line 1198>
2022-11-23T01:32:37.3898291Z [2022-11-23 01:19:43,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3898524Z [2022-11-23 01:19:43,747] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3898779Z [2022-11-23 01:19:43,749] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3899030Z [2022-11-23 01:19:43,754] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3899205Z [2022-11-23 01:19:43,755] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3899336Z  __compiled_fn_157 <eval_with_key>.1001 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3899424Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3899511Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.3899620Z call_function, div, prims.div, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.3899713Z output, output, output, ((div,),), {}
2022-11-23T01:32:37.3899718Z 
2022-11-23T01:32:37.3899993Z [2022-11-23 01:19:43,755] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3900086Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3900163Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3900259Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3900377Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3900453Z               8 RETURN_VALUE
2022-11-23T01:32:37.3900459Z 
2022-11-23T01:32:37.3900521Z  
2022-11-23T01:32:37.3900798Z [2022-11-23 01:19:43,756] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3900905Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_157)
2022-11-23T01:32:37.3900982Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3901098Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3901174Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3901260Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3901346Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.3901421Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.3901508Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.3901599Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.3901700Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3901789Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3901863Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.3901949Z              24 BUILD_TUPLE              1
2022-11-23T01:32:37.3902024Z              26 RETURN_VALUE
2022-11-23T01:32:37.3902029Z 
2022-11-23T01:32:37.3902089Z  
2022-11-23T01:32:37.3902269Z [2022-11-23 01:19:43,757] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3902327Z  - 
2022-11-23T01:32:37.3902445Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3902509Z             {
2022-11-23T01:32:37.3902648Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3902830Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.3902948Z                 'obj_weakref': None
2022-11-23T01:32:37.3903168Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3903224Z             }
2022-11-23T01:32:37.3903286Z             
2022-11-23T01:32:37.3903354Z  - 
2022-11-23T01:32:37.3903477Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3903539Z             {
2022-11-23T01:32:37.3903680Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3903785Z                 'code': None,
2022-11-23T01:32:37.3903981Z                 'obj_weakref': <weakref at 0x7f7106d51e90; to 'Tensor' at 0x7f71ce01a470>
2022-11-23T01:32:37.3904233Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3904296Z             }
2022-11-23T01:32:37.3904358Z             
2022-11-23T01:32:37.3904425Z  - 
2022-11-23T01:32:37.3904628Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.3904695Z             {
2022-11-23T01:32:37.3904823Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3904929Z                 'code': None,
2022-11-23T01:32:37.3905137Z                 'obj_weakref': <weakref at 0x7f7106d51890; to 'Tensor' at 0x7f7106bdb650>
2022-11-23T01:32:37.3905378Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3905445Z             }
2022-11-23T01:32:37.3905508Z             
2022-11-23T01:32:37.3905576Z  - 
2022-11-23T01:32:37.3905694Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.3905757Z             {
2022-11-23T01:32:37.3905895Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3906064Z                 'code': ['___check_obj_id(model, 140123418624368)'],
2022-11-23T01:32:37.3906182Z                 'obj_weakref': None
2022-11-23T01:32:37.3906409Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.3906474Z             }
2022-11-23T01:32:37.3906524Z             
2022-11-23T01:32:37.3906592Z  - 
2022-11-23T01:32:37.3906714Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3906847Z             {
2022-11-23T01:32:37.3906985Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3907204Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3907321Z                 'obj_weakref': None
2022-11-23T01:32:37.3907524Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3907587Z             }
2022-11-23T01:32:37.3907678Z             
2022-11-23T01:32:37.3907750Z  - 
2022-11-23T01:32:37.3907885Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.3907949Z             {
2022-11-23T01:32:37.3908070Z                 'guard_types': None,
2022-11-23T01:32:37.3908163Z                 'code': None,
2022-11-23T01:32:37.3908281Z                 'obj_weakref': None
2022-11-23T01:32:37.3908400Z                 'guarded_class': None
2022-11-23T01:32:37.3908464Z             }
2022-11-23T01:32:37.3908528Z             
2022-11-23T01:32:37.3908790Z [2022-11-23 01:19:43,766] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 156
2022-11-23T01:32:37.3909159Z [2022-11-23 01:19:46,277] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cd/ccdk636dazog25dv5zbsqnisrnf5otdgfv25hmd3xtgp7y4szuhq.py
2022-11-23T01:32:37.3909407Z [2022-11-23 01:19:46,278] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 156
2022-11-23T01:32:37.3909425Z 
2022-11-23T01:32:37.3909507Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3909574Z import torch
2022-11-23T01:32:37.3909641Z import random
2022-11-23T01:32:37.3909755Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3909875Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3909880Z 
2022-11-23T01:32:37.3909957Z aten = torch.ops.aten
2022-11-23T01:32:37.3910088Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3910166Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3910174Z 
2022-11-23T01:32:37.3910178Z 
2022-11-23T01:32:37.3910308Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3910514Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3910631Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.3910734Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.3910832Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.3910893Z {
2022-11-23T01:32:37.3910978Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3911038Z     {
2022-11-23T01:32:37.3911114Z         #pragma omp for 
2022-11-23T01:32:37.3911194Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:37.3911256Z         {
2022-11-23T01:32:37.3911405Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.3911535Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:37.3911622Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:37.3911700Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.3911766Z         }
2022-11-23T01:32:37.3911859Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.3911940Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T01:32:37.3912002Z         {
2022-11-23T01:32:37.3912085Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.3912154Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:37.3912236Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:37.3912315Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.3912376Z         }
2022-11-23T01:32:37.3912437Z     }
2022-11-23T01:32:37.3912496Z }
2022-11-23T01:32:37.3912572Z ''')
2022-11-23T01:32:37.3912577Z 
2022-11-23T01:32:37.3912581Z 
2022-11-23T01:32:37.3912671Z async_compile.wait(globals())
2022-11-23T01:32:37.3912731Z del async_compile
2022-11-23T01:32:37.3912736Z 
2022-11-23T01:32:37.3912809Z def call(args):
2022-11-23T01:32:37.3912883Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.3912983Z     args.clear()
2022-11-23T01:32:37.3913177Z     buf0 = empty_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3913336Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.3913403Z     del arg0_1
2022-11-23T01:32:37.3913456Z     del arg1_1
2022-11-23T01:32:37.3913527Z     return (buf0, )
2022-11-23T01:32:37.3913532Z 
2022-11-23T01:32:37.3913536Z 
2022-11-23T01:32:37.3913638Z if __name__ == "__main__":
2022-11-23T01:32:37.3913751Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3913873Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3914066Z     arg0_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3914257Z     arg1_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.3914375Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.3914382Z 
2022-11-23T01:32:37.3914387Z 
2022-11-23T01:32:37.3914468Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.3914537Z import torch
2022-11-23T01:32:37.3914606Z import random
2022-11-23T01:32:37.3914718Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.3914836Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.3914841Z 
2022-11-23T01:32:37.3914917Z aten = torch.ops.aten
2022-11-23T01:32:37.3915051Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.3915129Z async_compile = AsyncCompile()
2022-11-23T01:32:37.3915150Z 
2022-11-23T01:32:37.3915154Z 
2022-11-23T01:32:37.3915273Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.3915476Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.3915593Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:37.3915694Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:37.3915794Z                        long* __restrict__ out_ptr0)
2022-11-23T01:32:37.3915853Z {
2022-11-23T01:32:37.3915949Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.3915998Z     {
2022-11-23T01:32:37.3916074Z         #pragma omp for 
2022-11-23T01:32:37.3916157Z         for(long i0=0; i0<100; i0+=1)
2022-11-23T01:32:37.3916219Z         {
2022-11-23T01:32:37.3916282Z             {
2022-11-23T01:32:37.3916345Z                 {
2022-11-23T01:32:37.3916436Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.3916515Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:37.3916605Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:37.3916688Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.3916751Z                 }
2022-11-23T01:32:37.3916813Z             }
2022-11-23T01:32:37.3916874Z         }
2022-11-23T01:32:37.3916922Z     }
2022-11-23T01:32:37.3916997Z }
2022-11-23T01:32:37.3917223Z ''')
2022-11-23T01:32:37.3917230Z 
2022-11-23T01:32:37.3917240Z 
2022-11-23T01:32:37.3917379Z async_compile.wait(globals())
2022-11-23T01:32:37.3917453Z del async_compile
2022-11-23T01:32:37.3917458Z 
2022-11-23T01:32:37.3917529Z def call(args):
2022-11-23T01:32:37.3917605Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.3917677Z     args.clear()
2022-11-23T01:32:37.3917861Z     buf0 = empty_strided((100, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3918026Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.3918096Z     del arg0_1
2022-11-23T01:32:37.3918162Z     del arg1_1
2022-11-23T01:32:37.3918235Z     return (buf0, )
2022-11-23T01:32:37.3918240Z 
2022-11-23T01:32:37.3918244Z 
2022-11-23T01:32:37.3918320Z if __name__ == "__main__":
2022-11-23T01:32:37.3918436Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.3918544Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.3918735Z     arg0_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3918995Z     arg1_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.3919114Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.3919119Z 
2022-11-23T01:32:37.3919187Z ok (5.135s)
2022-11-23T01:32:37.3919503Z   test_div_zero_dim_cpu (__main__.CpuTests) ... [2022-11-23 01:19:46,290] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3919808Z [2022-11-23 01:19:46,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3920030Z [2022-11-23 01:19:46,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3920283Z [2022-11-23 01:19:46,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.3920556Z [2022-11-23 01:19:46,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.3920886Z [2022-11-23 01:19:46,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3921212Z [2022-11-23 01:19:46,291] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f647b030, file "inductor/test_torchinductor.py", line 1172> 
2022-11-23T01:32:37.3921306Z  1174           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3921399Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3921489Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3921577Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3921669Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:37.3921817Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3925652Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3925659Z 
2022-11-23T01:32:37.3925753Z 1175          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3925849Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3925940Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3926029Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3926191Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:37.3926354Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3926434Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3926442Z 
2022-11-23T01:32:37.3926533Z 1176          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3926621Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3926708Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3926794Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3926936Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:37.3927094Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3927176Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3927194Z 
2022-11-23T01:32:37.3927267Z 1177          42 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3927355Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3927441Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:37.3927445Z 
2022-11-23T01:32:37.3927531Z 1178          48 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3927619Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3927705Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:37.3927802Z               54 BUILD_TUPLE              5
2022-11-23T01:32:37.3927897Z               56 RETURN_VALUE
2022-11-23T01:32:37.3927988Z  
2022-11-23T01:32:37.3927995Z 
2022-11-23T01:32:37.3928351Z [2022-11-23 01:19:46,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1174
2022-11-23T01:32:37.3928573Z [2022-11-23 01:19:46,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.3928955Z [2022-11-23 01:19:46,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3929208Z [2022-11-23 01:19:46,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:37.3929485Z [2022-11-23 01:19:46,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3929834Z [2022-11-23 01:19:46,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3930214Z [2022-11-23 01:19:46,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.3930616Z [2022-11-23 01:19:46,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:37.3930869Z [2022-11-23 01:19:46,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1175
2022-11-23T01:32:37.3931113Z [2022-11-23 01:19:46,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.3931446Z [2022-11-23 01:19:46,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3931722Z [2022-11-23 01:19:46,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:37.3932022Z [2022-11-23 01:19:46,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3932358Z [2022-11-23 01:19:46,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3932756Z [2022-11-23 01:19:46,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:37.3933180Z [2022-11-23 01:19:46,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.3933447Z [2022-11-23 01:19:46,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1176
2022-11-23T01:32:37.3933719Z [2022-11-23 01:19:46,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3934073Z [2022-11-23 01:19:46,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3934375Z [2022-11-23 01:19:46,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:37.3934689Z [2022-11-23 01:19:46,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3935056Z [2022-11-23 01:19:46,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3935477Z [2022-11-23 01:19:46,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:37.3935932Z [2022-11-23 01:19:46,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.3936225Z [2022-11-23 01:19:46,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1177
2022-11-23T01:32:37.3936517Z [2022-11-23 01:19:46,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3936860Z [2022-11-23 01:19:46,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3937230Z [2022-11-23 01:19:46,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3937493Z [2022-11-23 01:19:46,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1178
2022-11-23T01:32:37.3937808Z [2022-11-23 01:19:46,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3938150Z [2022-11-23 01:19:46,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3938544Z [2022-11-23 01:19:46,347] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3938881Z [2022-11-23 01:19:46,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3939124Z [2022-11-23 01:19:46,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3939450Z [2022-11-23 01:19:46,356] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f647b030, file "inductor/test_torchinductor.py", line 1172>
2022-11-23T01:32:37.3939698Z [2022-11-23 01:19:46,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3939930Z [2022-11-23 01:19:46,356] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3940184Z [2022-11-23 01:19:46,359] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3940430Z [2022-11-23 01:19:46,376] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3940617Z [2022-11-23 01:19:46,377] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3940750Z  __compiled_fn_158 <eval_with_key>.1007 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3940840Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3940913Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.3941101Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:37.3941290Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:37.3941476Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:37.3941664Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.3941856Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.3941990Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:37.3941996Z 
2022-11-23T01:32:37.3942272Z [2022-11-23 01:19:46,377] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3942353Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3942442Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3942534Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3942651Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3942728Z               8 RETURN_VALUE
2022-11-23T01:32:37.3942734Z 
2022-11-23T01:32:37.3942794Z  
2022-11-23T01:32:37.3943072Z [2022-11-23 01:19:46,378] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3943167Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_158)
2022-11-23T01:32:37.3943254Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3943370Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3943446Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3943532Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3943618Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.3943692Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.3943767Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.3943870Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.3943973Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3944061Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3944136Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.3944235Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3944321Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.3944394Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.3944560Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3944650Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:37.3944726Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.3944827Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3944915Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:37.3944989Z              40 BINARY_SUBSCR
2022-11-23T01:32:37.3945087Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3945161Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:37.3945240Z              46 BINARY_SUBSCR
2022-11-23T01:32:37.3945328Z              48 BUILD_TUPLE              5
2022-11-23T01:32:37.3945404Z              50 RETURN_VALUE
2022-11-23T01:32:37.3945409Z 
2022-11-23T01:32:37.3945470Z  
2022-11-23T01:32:37.3945658Z [2022-11-23 01:19:46,379] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3945729Z  - 
2022-11-23T01:32:37.3945835Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3945900Z             {
2022-11-23T01:32:37.3946045Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3946232Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.3946352Z                 'obj_weakref': None
2022-11-23T01:32:37.3946577Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3946642Z             }
2022-11-23T01:32:37.3946692Z             
2022-11-23T01:32:37.3946761Z  - 
2022-11-23T01:32:37.3946885Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3946953Z             {
2022-11-23T01:32:37.3947093Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3947198Z                 'code': None,
2022-11-23T01:32:37.3947406Z                 'obj_weakref': <weakref at 0x7f7106dee8f0; to 'Tensor' at 0x7f7106e09110>
2022-11-23T01:32:37.3947641Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3947707Z             }
2022-11-23T01:32:37.3947770Z             
2022-11-23T01:32:37.3947837Z  - 
2022-11-23T01:32:37.3947957Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.3948020Z             {
2022-11-23T01:32:37.3948160Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3948253Z                 'code': None,
2022-11-23T01:32:37.3948456Z                 'obj_weakref': <weakref at 0x7f7106d1ab30; to 'Tensor' at 0x7f7106b6dcb0>
2022-11-23T01:32:37.3948699Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3948793Z             }
2022-11-23T01:32:37.3948855Z             
2022-11-23T01:32:37.3948923Z  - 
2022-11-23T01:32:37.3949054Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.3949104Z             {
2022-11-23T01:32:37.3949236Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3949404Z                 'code': ['___check_obj_id(model, 140123418424240)'],
2022-11-23T01:32:37.3949547Z                 'obj_weakref': None
2022-11-23T01:32:37.3949778Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.3949842Z             }
2022-11-23T01:32:37.3949906Z             
2022-11-23T01:32:37.3949961Z  - 
2022-11-23T01:32:37.3950082Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3950145Z             {
2022-11-23T01:32:37.3950280Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3950497Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3950613Z                 'obj_weakref': None
2022-11-23T01:32:37.3950830Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3950880Z             }
2022-11-23T01:32:37.3950942Z             
2022-11-23T01:32:37.3951011Z  - 
2022-11-23T01:32:37.3951141Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.3951204Z             {
2022-11-23T01:32:37.3951325Z                 'guard_types': None,
2022-11-23T01:32:37.3951430Z                 'code': None,
2022-11-23T01:32:37.3951534Z                 'obj_weakref': None
2022-11-23T01:32:37.3951653Z                 'guarded_class': None
2022-11-23T01:32:37.3951715Z             }
2022-11-23T01:32:37.3951776Z             
2022-11-23T01:32:37.3952035Z [2022-11-23 01:19:46,403] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 157
2022-11-23T01:32:37.3952395Z [2022-11-23 01:19:48,919] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gu/cguyvf52br732ab54xi2iant3tyfi7tad3ls7atg5uznxzgket5t.py
2022-11-23T01:32:37.3952656Z [2022-11-23 01:19:48,920] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 157
2022-11-23T01:32:37.3952893Z [2022-11-23 01:19:48,933] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3953149Z [2022-11-23 01:19:48,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3953362Z [2022-11-23 01:19:48,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3953612Z [2022-11-23 01:19:48,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.3953895Z [2022-11-23 01:19:48,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.3954216Z [2022-11-23 01:19:48,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3954536Z [2022-11-23 01:19:48,934] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f647b030, file "inductor/test_torchinductor.py", line 1172> 
2022-11-23T01:32:37.3954635Z  1174           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3954728Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3954818Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3954894Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3954987Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:37.3955146Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3955238Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3955244Z 
2022-11-23T01:32:37.3955334Z 1175          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3955451Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3955540Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3955614Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3955754Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:37.3955913Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3956004Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3956046Z 
2022-11-23T01:32:37.3956137Z 1176          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3956224Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3956310Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3956395Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3956524Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:37.3956683Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3956776Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3956781Z 
2022-11-23T01:32:37.3956865Z 1177          42 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3956950Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3957033Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:37.3957039Z 
2022-11-23T01:32:37.3957240Z 1178          48 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3957328Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3957402Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:37.3957491Z               54 BUILD_TUPLE              5
2022-11-23T01:32:37.3957568Z               56 RETURN_VALUE
2022-11-23T01:32:37.3957630Z  
2022-11-23T01:32:37.3957635Z 
2022-11-23T01:32:37.3957907Z [2022-11-23 01:19:48,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1174
2022-11-23T01:32:37.3958155Z [2022-11-23 01:19:48,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.3958559Z [2022-11-23 01:19:48,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3958812Z [2022-11-23 01:19:48,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:37.3959074Z [2022-11-23 01:19:48,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3959434Z [2022-11-23 01:19:48,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3959976Z [2022-11-23 01:19:48,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.3960605Z [2022-11-23 01:19:48,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:37.3960912Z [2022-11-23 01:19:48,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1175
2022-11-23T01:32:37.3961159Z [2022-11-23 01:19:48,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.3961492Z [2022-11-23 01:19:48,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3961768Z [2022-11-23 01:19:48,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:37.3962071Z [2022-11-23 01:19:48,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3962406Z [2022-11-23 01:19:48,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3962885Z [2022-11-23 01:19:48,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:37.3963350Z [2022-11-23 01:19:48,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.3963606Z [2022-11-23 01:19:48,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1176
2022-11-23T01:32:37.3963877Z [2022-11-23 01:19:48,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3964234Z [2022-11-23 01:19:48,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3964536Z [2022-11-23 01:19:48,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:37.3964865Z [2022-11-23 01:19:48,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3965231Z [2022-11-23 01:19:48,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3965654Z [2022-11-23 01:19:48,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:37.3966104Z [2022-11-23 01:19:48,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.3966373Z [2022-11-23 01:19:48,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1177
2022-11-23T01:32:37.3966664Z [2022-11-23 01:19:48,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3966982Z [2022-11-23 01:19:48,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3967347Z [2022-11-23 01:19:48,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3967599Z [2022-11-23 01:19:48,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1178
2022-11-23T01:32:37.3967914Z [2022-11-23 01:19:48,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3968261Z [2022-11-23 01:19:48,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3968656Z [2022-11-23 01:19:48,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3969004Z [2022-11-23 01:19:48,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3969248Z [2022-11-23 01:19:48,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3969576Z [2022-11-23 01:19:48,997] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f647b030, file "inductor/test_torchinductor.py", line 1172>
2022-11-23T01:32:37.3969852Z [2022-11-23 01:19:48,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3970084Z [2022-11-23 01:19:48,997] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3970380Z [2022-11-23 01:19:48,999] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.3970628Z [2022-11-23 01:19:49,017] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.3970802Z [2022-11-23 01:19:49,018] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.3970938Z  __compiled_fn_159 <eval_with_key>.1013 opcode, name, target, args, kwargs
2022-11-23T01:32:37.3971028Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.3971115Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.3971301Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:37.3971492Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:37.3971681Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:37.3971857Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.3972049Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.3972180Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:37.3972188Z 
2022-11-23T01:32:37.3972463Z [2022-11-23 01:19:49,019] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3972554Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.3972646Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3972737Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.3972830Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.3972892Z               8 RETURN_VALUE
2022-11-23T01:32:37.3972909Z 
2022-11-23T01:32:37.3972956Z  
2022-11-23T01:32:37.3973230Z [2022-11-23 01:19:49,019] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.3973337Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_159)
2022-11-23T01:32:37.3973426Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3973515Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3973591Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.3973680Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.3973754Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.3973829Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.3973916Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.3974019Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.3974120Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3974210Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.3974284Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.3974370Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3974456Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.3974535Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.3974634Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3974722Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:37.3974795Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.3974893Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3974965Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:37.3975038Z              40 BINARY_SUBSCR
2022-11-23T01:32:37.3975134Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.3975218Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:37.3975324Z              46 BINARY_SUBSCR
2022-11-23T01:32:37.3975410Z              48 BUILD_TUPLE              5
2022-11-23T01:32:37.3975484Z              50 RETURN_VALUE
2022-11-23T01:32:37.3975489Z 
2022-11-23T01:32:37.3975548Z  
2022-11-23T01:32:37.3975718Z [2022-11-23 01:19:49,020] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.3975787Z  - 
2022-11-23T01:32:37.3975905Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.3975968Z             {
2022-11-23T01:32:37.3976133Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.3976318Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.3976436Z                 'obj_weakref': None
2022-11-23T01:32:37.3976649Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.3976712Z             }
2022-11-23T01:32:37.3976775Z             
2022-11-23T01:32:37.3976842Z  - 
2022-11-23T01:32:37.3976965Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.3977031Z             {
2022-11-23T01:32:37.3977161Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3977264Z                 'code': None,
2022-11-23T01:32:37.3977469Z                 'obj_weakref': <weakref at 0x7f7106d1acb0; to 'Tensor' at 0x7f7106e09110>
2022-11-23T01:32:37.3977716Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3977781Z             }
2022-11-23T01:32:37.3977844Z             
2022-11-23T01:32:37.3977913Z  - 
2022-11-23T01:32:37.3978034Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.3978084Z             {
2022-11-23T01:32:37.3978223Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.3978328Z                 'code': None,
2022-11-23T01:32:37.3978534Z                 'obj_weakref': <weakref at 0x7f7106b9a470; to 'Tensor' at 0x7f7106dee350>
2022-11-23T01:32:37.3978775Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.3978840Z             }
2022-11-23T01:32:37.3978901Z             
2022-11-23T01:32:37.3979004Z  - 
2022-11-23T01:32:37.3979131Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.3979193Z             {
2022-11-23T01:32:37.3979326Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.3979493Z                 'code': ['___check_obj_id(model, 140123418424240)'],
2022-11-23T01:32:37.3979613Z                 'obj_weakref': None
2022-11-23T01:32:37.3979838Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.3979888Z             }
2022-11-23T01:32:37.3979950Z             
2022-11-23T01:32:37.3980017Z  - 
2022-11-23T01:32:37.3980136Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.3980198Z             {
2022-11-23T01:32:37.3980331Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.3980547Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.3980653Z                 'obj_weakref': None
2022-11-23T01:32:37.3980870Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.3980933Z             }
2022-11-23T01:32:37.3980995Z             
2022-11-23T01:32:37.3981061Z  - 
2022-11-23T01:32:37.3981192Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.3981244Z             {
2022-11-23T01:32:37.3981362Z                 'guard_types': None,
2022-11-23T01:32:37.3981465Z                 'code': None,
2022-11-23T01:32:37.3981581Z                 'obj_weakref': None
2022-11-23T01:32:37.3981700Z                 'guarded_class': None
2022-11-23T01:32:37.3981761Z             }
2022-11-23T01:32:37.3981823Z             
2022-11-23T01:32:37.3982068Z [2022-11-23 01:19:49,045] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 158
2022-11-23T01:32:37.3982475Z [2022-11-23 01:19:51,586] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gw/cgwjnib5wbvycpgjxflzprea4cm2wflqb3meav2vzaurenwxur4b.py
2022-11-23T01:32:37.3982740Z [2022-11-23 01:19:51,587] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 158
2022-11-23T01:32:37.3982976Z [2022-11-23 01:19:51,601] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.3983271Z [2022-11-23 01:19:51,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.3983487Z [2022-11-23 01:19:51,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.3983738Z [2022-11-23 01:19:51,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.3984025Z [2022-11-23 01:19:51,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.3984349Z [2022-11-23 01:19:51,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.3984758Z [2022-11-23 01:19:51,602] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f647b030, file "inductor/test_torchinductor.py", line 1172> 
2022-11-23T01:32:37.3984841Z  1174           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3984934Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3985028Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3985119Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3985213Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:37.3985381Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3985473Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3985480Z 
2022-11-23T01:32:37.3985575Z 1175          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3985653Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3985743Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3985832Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3985977Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:37.3986135Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3986225Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3986230Z 
2022-11-23T01:32:37.3986323Z 1176          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.3986398Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.3986484Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3986569Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3986710Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:37.3986866Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.3986960Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.3986964Z 
2022-11-23T01:32:37.3987048Z 1177          42 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3987133Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3987203Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:37.3987208Z 
2022-11-23T01:32:37.3987294Z 1178          48 LOAD_FAST                0 (a)
2022-11-23T01:32:37.3987379Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:37.3987464Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:37.3987551Z               54 BUILD_TUPLE              5
2022-11-23T01:32:37.3987625Z               56 RETURN_VALUE
2022-11-23T01:32:37.3987686Z  
2022-11-23T01:32:37.3987691Z 
2022-11-23T01:32:37.3987959Z [2022-11-23 01:19:51,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1174
2022-11-23T01:32:37.3988163Z [2022-11-23 01:19:51,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.3988503Z [2022-11-23 01:19:51,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3988748Z [2022-11-23 01:19:51,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:37.3989019Z [2022-11-23 01:19:51,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3989354Z [2022-11-23 01:19:51,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3989727Z [2022-11-23 01:19:51,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.3990127Z [2022-11-23 01:19:51,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:37.3990393Z [2022-11-23 01:19:51,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1175
2022-11-23T01:32:37.3990637Z [2022-11-23 01:19:51,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.3990968Z [2022-11-23 01:19:51,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3991229Z [2022-11-23 01:19:51,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:37.3991530Z [2022-11-23 01:19:51,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3991868Z [2022-11-23 01:19:51,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3992267Z [2022-11-23 01:19:51,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:37.3992691Z [2022-11-23 01:19:51,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.3992958Z [2022-11-23 01:19:51,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1176
2022-11-23T01:32:37.3993230Z [2022-11-23 01:19:51,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3993586Z [2022-11-23 01:19:51,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.3993887Z [2022-11-23 01:19:51,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:37.3994213Z [2022-11-23 01:19:51,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.3994578Z [2022-11-23 01:19:51,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3995002Z [2022-11-23 01:19:51,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:37.3995455Z [2022-11-23 01:19:51,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.3995741Z [2022-11-23 01:19:51,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1177
2022-11-23T01:32:37.3996033Z [2022-11-23 01:19:51,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3996379Z [2022-11-23 01:19:51,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3996746Z [2022-11-23 01:19:51,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3997013Z [2022-11-23 01:19:51,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1178
2022-11-23T01:32:37.3997479Z [2022-11-23 01:19:51,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3997832Z [2022-11-23 01:19:51,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3998230Z [2022-11-23 01:19:51,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3998582Z [2022-11-23 01:19:51,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.3998828Z [2022-11-23 01:19:51,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3999164Z [2022-11-23 01:19:51,657] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f647b030, file "inductor/test_torchinductor.py", line 1172>
2022-11-23T01:32:37.3999411Z [2022-11-23 01:19:51,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.3999632Z [2022-11-23 01:19:51,657] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.3999888Z [2022-11-23 01:19:51,659] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4000141Z [2022-11-23 01:19:51,673] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4000329Z [2022-11-23 01:19:51,673] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4000465Z  __compiled_fn_160 <eval_with_key>.1019 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4000558Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4000648Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.4000835Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:37.4001013Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:37.4001206Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:37.4001396Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.4001588Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.4001718Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:37.4001723Z 
2022-11-23T01:32:37.4001998Z [2022-11-23 01:19:51,674] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4002092Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4002183Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4002263Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4002353Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4002491Z               8 RETURN_VALUE
2022-11-23T01:32:37.4002496Z 
2022-11-23T01:32:37.4002559Z  
2022-11-23T01:32:37.4002836Z [2022-11-23 01:19:51,674] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4002944Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_160)
2022-11-23T01:32:37.4003034Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4003161Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4003227Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4003316Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4003404Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4003481Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.4003570Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.4003675Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4003777Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4003857Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4003932Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.4004035Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4004122Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4004196Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.4004294Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4004381Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:37.4004443Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.4004541Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4004628Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:37.4004702Z              40 BINARY_SUBSCR
2022-11-23T01:32:37.4004799Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4004884Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:37.4004960Z              46 BINARY_SUBSCR
2022-11-23T01:32:37.4005034Z              48 BUILD_TUPLE              5
2022-11-23T01:32:37.4005107Z              50 RETURN_VALUE
2022-11-23T01:32:37.4005112Z 
2022-11-23T01:32:37.4005172Z  
2022-11-23T01:32:37.4005360Z [2022-11-23 01:19:51,676] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4005428Z  - 
2022-11-23T01:32:37.4005546Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4005609Z             {
2022-11-23T01:32:37.4005739Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4005921Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.4006039Z                 'obj_weakref': None
2022-11-23T01:32:37.4006263Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4006328Z             }
2022-11-23T01:32:37.4006392Z             
2022-11-23T01:32:37.4006460Z  - 
2022-11-23T01:32:37.4006570Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4006637Z             {
2022-11-23T01:32:37.4006778Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4006883Z                 'code': None,
2022-11-23T01:32:37.4007089Z                 'obj_weakref': <weakref at 0x7f7106c9ff50; to 'Tensor' at 0x7f7106e09110>
2022-11-23T01:32:37.4007337Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4007400Z             }
2022-11-23T01:32:37.4007452Z             
2022-11-23T01:32:37.4007520Z  - 
2022-11-23T01:32:37.4007640Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.4007703Z             {
2022-11-23T01:32:37.4007844Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4007949Z                 'code': None,
2022-11-23T01:32:37.4008152Z                 'obj_weakref': <weakref at 0x7f7106cc68f0; to 'Tensor' at 0x7f71241c8470>
2022-11-23T01:32:37.4008381Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4008476Z             }
2022-11-23T01:32:37.4008536Z             
2022-11-23T01:32:37.4008604Z  - 
2022-11-23T01:32:37.4008734Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4008796Z             {
2022-11-23T01:32:37.4008928Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4009085Z                 'code': ['___check_obj_id(model, 140123418424240)'],
2022-11-23T01:32:37.4009229Z                 'obj_weakref': None
2022-11-23T01:32:37.4009456Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4009521Z             }
2022-11-23T01:32:37.4009583Z             
2022-11-23T01:32:37.4009650Z  - 
2022-11-23T01:32:37.4009769Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4009818Z             {
2022-11-23T01:32:37.4009954Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4010170Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4010289Z                 'obj_weakref': None
2022-11-23T01:32:37.4010505Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4010568Z             }
2022-11-23T01:32:37.4010630Z             
2022-11-23T01:32:37.4010685Z  - 
2022-11-23T01:32:37.4010816Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.4010878Z             {
2022-11-23T01:32:37.4010997Z                 'guard_types': None,
2022-11-23T01:32:37.4011104Z                 'code': None,
2022-11-23T01:32:37.4011218Z                 'obj_weakref': None
2022-11-23T01:32:37.4011337Z                 'guarded_class': None
2022-11-23T01:32:37.4011387Z             }
2022-11-23T01:32:37.4011448Z             
2022-11-23T01:32:37.4011704Z [2022-11-23 01:19:51,697] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 159
2022-11-23T01:32:37.4012072Z [2022-11-23 01:19:54,232] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/od/codlnuj56ysnl27knjxwzbt6ba2knrjnw6ms233nsxcgr6tb2gbk.py
2022-11-23T01:32:37.4012338Z [2022-11-23 01:19:54,233] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 159
2022-11-23T01:32:37.4012573Z [2022-11-23 01:19:54,244] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4012841Z [2022-11-23 01:19:54,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4013055Z [2022-11-23 01:19:54,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4013292Z [2022-11-23 01:19:54,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4013573Z [2022-11-23 01:19:54,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4013891Z [2022-11-23 01:19:54,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4014215Z [2022-11-23 01:19:54,245] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f647b030, file "inductor/test_torchinductor.py", line 1172> 
2022-11-23T01:32:37.4014311Z  1174           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.4014403Z                2 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.4014495Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4014584Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4014677Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:37.4014826Z               10 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.4014919Z               12 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.4014924Z 
2022-11-23T01:32:37.4015014Z 1175          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.4015134Z               16 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.4015223Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4015310Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4015452Z               22 LOAD_CONST               2 ('floor')
2022-11-23T01:32:37.4015597Z               24 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.4015689Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.4015694Z 
2022-11-23T01:32:37.4015824Z 1176          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.4015911Z               30 LOAD_ATTR                1 (div)
2022-11-23T01:32:37.4015999Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4016086Z               34 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4016226Z               36 LOAD_CONST               3 ('trunc')
2022-11-23T01:32:37.4016386Z               38 LOAD_CONST               1 (('rounding_mode',))
2022-11-23T01:32:37.4016464Z               40 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.4016471Z 
2022-11-23T01:32:37.4016556Z 1177          42 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4016641Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4016722Z               46 BINARY_TRUE_DIVIDE
2022-11-23T01:32:37.4016727Z 
2022-11-23T01:32:37.4016827Z 1178          48 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4016910Z               50 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4016996Z               52 BINARY_FLOOR_DIVIDE
2022-11-23T01:32:37.4017082Z               54 BUILD_TUPLE              5
2022-11-23T01:32:37.4017144Z               56 RETURN_VALUE
2022-11-23T01:32:37.4017205Z  
2022-11-23T01:32:37.4017210Z 
2022-11-23T01:32:37.4017480Z [2022-11-23 01:19:54,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1174
2022-11-23T01:32:37.4017696Z [2022-11-23 01:19:54,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.4018003Z [2022-11-23 01:19:54,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.4018253Z [2022-11-23 01:19:54,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)]
2022-11-23T01:32:37.4018528Z [2022-11-23 01:19:54,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.4018837Z [2022-11-23 01:19:54,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4019213Z [2022-11-23 01:19:54,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.4019601Z [2022-11-23 01:19:54,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:37.4019870Z [2022-11-23 01:19:54,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1175
2022-11-23T01:32:37.4020113Z [2022-11-23 01:19:54,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.4020444Z [2022-11-23 01:19:54,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.4020715Z [2022-11-23 01:19:54,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:37.4021013Z [2022-11-23 01:19:54,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.4021352Z [2022-11-23 01:19:54,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4021774Z [2022-11-23 01:19:54,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:37.4022224Z [2022-11-23 01:19:54,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.4022492Z [2022-11-23 01:19:54,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1176
2022-11-23T01:32:37.4022761Z [2022-11-23 01:19:54,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4023121Z [2022-11-23 01:19:54,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.4023412Z [2022-11-23 01:19:54,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)]
2022-11-23T01:32:37.4023739Z [2022-11-23 01:19:54,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()]
2022-11-23T01:32:37.4024106Z [2022-11-23 01:19:54,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4024608Z [2022-11-23 01:19:54,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:37.4025066Z [2022-11-23 01:19:54,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.4025335Z [2022-11-23 01:19:54,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1177
2022-11-23T01:32:37.4025626Z [2022-11-23 01:19:54,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4025946Z [2022-11-23 01:19:54,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4026311Z [2022-11-23 01:19:54,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4026580Z [2022-11-23 01:19:54,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1178
2022-11-23T01:32:37.4026899Z [2022-11-23 01:19:54,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4027244Z [2022-11-23 01:19:54,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4027645Z [2022-11-23 01:19:54,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4027981Z [2022-11-23 01:19:54,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4028228Z [2022-11-23 01:19:54,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4028555Z [2022-11-23 01:19:54,310] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f647b030, file "inductor/test_torchinductor.py", line 1172>
2022-11-23T01:32:37.4028837Z [2022-11-23 01:19:54,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4029068Z [2022-11-23 01:19:54,310] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4029322Z [2022-11-23 01:19:54,312] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4029593Z [2022-11-23 01:19:54,325] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4029781Z [2022-11-23 01:19:54,326] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4029914Z  __compiled_fn_161 <eval_with_key>.1025 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4029990Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4030076Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.4030263Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None}
2022-11-23T01:32:37.4030453Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'}
2022-11-23T01:32:37.4030644Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'}
2022-11-23T01:32:37.4030833Z call_function, truediv, <built-in function truediv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.4031027Z call_function, floordiv, <built-in function floordiv>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.4031159Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {}
2022-11-23T01:32:37.4031165Z 
2022-11-23T01:32:37.4031432Z [2022-11-23 01:19:54,326] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4031525Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4031615Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4031707Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4031796Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4031874Z               8 RETURN_VALUE
2022-11-23T01:32:37.4031879Z 
2022-11-23T01:32:37.4031940Z  
2022-11-23T01:32:37.4032215Z [2022-11-23 01:19:54,327] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4032308Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_161)
2022-11-23T01:32:37.4032396Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4032486Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4032560Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4032649Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4032736Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4032811Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.4032887Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.4032988Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4033087Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4033178Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4033256Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.4033354Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4033440Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4033502Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.4033603Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4033691Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:37.4033764Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.4033862Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4033948Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:37.4034022Z              40 BINARY_SUBSCR
2022-11-23T01:32:37.4034106Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4034191Z              44 LOAD_CONST               5 (4)
2022-11-23T01:32:37.4034295Z              46 BINARY_SUBSCR
2022-11-23T01:32:37.4034382Z              48 BUILD_TUPLE              5
2022-11-23T01:32:37.4034458Z              50 RETURN_VALUE
2022-11-23T01:32:37.4034463Z 
2022-11-23T01:32:37.4034524Z  
2022-11-23T01:32:37.4034705Z [2022-11-23 01:19:54,328] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4034773Z  - 
2022-11-23T01:32:37.4034878Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4034941Z             {
2022-11-23T01:32:37.4035115Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4035299Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.4035418Z                 'obj_weakref': None
2022-11-23T01:32:37.4035640Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4035704Z             }
2022-11-23T01:32:37.4035754Z             
2022-11-23T01:32:37.4035823Z  - 
2022-11-23T01:32:37.4035945Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4036010Z             {
2022-11-23T01:32:37.4036151Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4036256Z                 'code': None,
2022-11-23T01:32:37.4036462Z                 'obj_weakref': <weakref at 0x7f7106cd61d0; to 'Tensor' at 0x7f71068cee90>
2022-11-23T01:32:37.4036699Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4036761Z             }
2022-11-23T01:32:37.4036826Z             
2022-11-23T01:32:37.4036894Z  - 
2022-11-23T01:32:37.4037014Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.4037077Z             {
2022-11-23T01:32:37.4037347Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4037444Z                 'code': None,
2022-11-23T01:32:37.4037648Z                 'obj_weakref': <weakref at 0x7f7106737a10; to 'Tensor' at 0x7f71068ce2f0>
2022-11-23T01:32:37.4037891Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4037958Z             }
2022-11-23T01:32:37.4038023Z             
2022-11-23T01:32:37.4038093Z  - 
2022-11-23T01:32:37.4038226Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4038275Z             {
2022-11-23T01:32:37.4038409Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4038579Z                 'code': ['___check_obj_id(model, 140123418424240)'],
2022-11-23T01:32:37.4038700Z                 'obj_weakref': None
2022-11-23T01:32:37.4038927Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4038994Z             }
2022-11-23T01:32:37.4039058Z             
2022-11-23T01:32:37.4039112Z  - 
2022-11-23T01:32:37.4039234Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4039298Z             {
2022-11-23T01:32:37.4039438Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4039655Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4039777Z                 'obj_weakref': None
2022-11-23T01:32:37.4039996Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4040046Z             }
2022-11-23T01:32:37.4040107Z             
2022-11-23T01:32:37.4040175Z  - 
2022-11-23T01:32:37.4040304Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.4040366Z             {
2022-11-23T01:32:37.4040488Z                 'guard_types': None,
2022-11-23T01:32:37.4040581Z                 'code': None,
2022-11-23T01:32:37.4040696Z                 'obj_weakref': None
2022-11-23T01:32:37.4040815Z                 'guarded_class': None
2022-11-23T01:32:37.4040878Z             }
2022-11-23T01:32:37.4040939Z             
2022-11-23T01:32:37.4041198Z [2022-11-23 01:19:54,347] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 160
2022-11-23T01:32:37.4041203Z 
2022-11-23T01:32:37.4041358Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4041428Z import torch
2022-11-23T01:32:37.4041483Z import random
2022-11-23T01:32:37.4041598Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4041719Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4041724Z 
2022-11-23T01:32:37.4041802Z aten = torch.ops.aten
2022-11-23T01:32:37.4041937Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4042066Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4042072Z 
2022-11-23T01:32:37.4042076Z 
2022-11-23T01:32:37.4042214Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4042423Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4042529Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.4042633Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.4042734Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.4042834Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.4042927Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:37.4043019Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:37.4043110Z                        float* __restrict__ out_ptr4)
2022-11-23T01:32:37.4043158Z {
2022-11-23T01:32:37.4043255Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4043319Z     {
2022-11-23T01:32:37.4043398Z         #pragma omp for 
2022-11-23T01:32:37.4043479Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:37.4043543Z         {
2022-11-23T01:32:37.4043605Z             {
2022-11-23T01:32:37.4043656Z                 {
2022-11-23T01:32:37.4043749Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.4043837Z                     auto tmp1 = in_ptr1[0];
2022-11-23T01:32:37.4043926Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:37.4044041Z                     auto tmp3 = std::floor(tmp2);
2022-11-23T01:32:37.4044142Z                     auto tmp4 = std::trunc(tmp2);
2022-11-23T01:32:37.4044225Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.4044295Z                     out_ptr1[i0] = tmp3;
2022-11-23T01:32:37.4044376Z                     out_ptr2[i0] = tmp4;
2022-11-23T01:32:37.4044457Z                     out_ptr3[i0] = tmp2;
2022-11-23T01:32:37.4044539Z                     out_ptr4[i0] = tmp3;
2022-11-23T01:32:37.4044605Z                 }
2022-11-23T01:32:37.4044668Z             }
2022-11-23T01:32:37.4044732Z         }
2022-11-23T01:32:37.4044781Z     }
2022-11-23T01:32:37.4044841Z }
2022-11-23T01:32:37.4044917Z ''')
2022-11-23T01:32:37.4044922Z 
2022-11-23T01:32:37.4044926Z 
2022-11-23T01:32:37.4045015Z async_compile.wait(globals())
2022-11-23T01:32:37.4045086Z del async_compile
2022-11-23T01:32:37.4045091Z 
2022-11-23T01:32:37.4045159Z def call(args):
2022-11-23T01:32:37.4045234Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.4045292Z     args.clear()
2022-11-23T01:32:37.4045485Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4045678Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4045866Z     buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4046050Z     buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4046233Z     buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4046492Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:37.4046561Z     del arg0_1
2022-11-23T01:32:37.4046614Z     del arg1_1
2022-11-23T01:32:37.4046708Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:37.4046714Z 
2022-11-23T01:32:37.4046718Z 
2022-11-23T01:32:37.4046793Z if __name__ == "__main__":
2022-11-23T01:32:37.4046935Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4047057Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4047252Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4047434Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4047547Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.4047552Z 
2022-11-23T01:32:37.4047557Z 
2022-11-23T01:32:37.4047701Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4047770Z import torch
2022-11-23T01:32:37.4047840Z import random
2022-11-23T01:32:37.4047955Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4048079Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4048084Z 
2022-11-23T01:32:37.4048166Z aten = torch.ops.aten
2022-11-23T01:32:37.4048301Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4048393Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4048400Z 
2022-11-23T01:32:37.4048404Z 
2022-11-23T01:32:37.4048523Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4048727Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4048846Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.4048951Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.4049054Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.4049151Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.4049246Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:37.4049339Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:37.4049417Z                        float* __restrict__ out_ptr4)
2022-11-23T01:32:37.4049478Z {
2022-11-23T01:32:37.4049576Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4049638Z     {
2022-11-23T01:32:37.4049718Z         #pragma omp for 
2022-11-23T01:32:37.4049803Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:37.4049853Z         {
2022-11-23T01:32:37.4049918Z             {
2022-11-23T01:32:37.4049982Z                 {
2022-11-23T01:32:37.4050073Z                     auto tmp0 = in_ptr0[0];
2022-11-23T01:32:37.4050162Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:37.4050251Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:37.4050350Z                     auto tmp3 = std::floor(tmp2);
2022-11-23T01:32:37.4050438Z                     auto tmp4 = std::trunc(tmp2);
2022-11-23T01:32:37.4050523Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.4050603Z                     out_ptr1[i0] = tmp3;
2022-11-23T01:32:37.4050683Z                     out_ptr2[i0] = tmp4;
2022-11-23T01:32:37.4050764Z                     out_ptr3[i0] = tmp2;
2022-11-23T01:32:37.4050844Z                     out_ptr4[i0] = tmp3;
2022-11-23T01:32:37.4050909Z                 }
2022-11-23T01:32:37.4050959Z             }
2022-11-23T01:32:37.4051023Z         }
2022-11-23T01:32:37.4051083Z     }
2022-11-23T01:32:37.4051142Z }
2022-11-23T01:32:37.4051220Z ''')
2022-11-23T01:32:37.4051224Z 
2022-11-23T01:32:37.4051228Z 
2022-11-23T01:32:37.4051316Z async_compile.wait(globals())
2022-11-23T01:32:37.4051387Z del async_compile
2022-11-23T01:32:37.4051391Z 
2022-11-23T01:32:37.4051447Z def call(args):
2022-11-23T01:32:37.4051521Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.4051591Z     args.clear()
2022-11-23T01:32:37.4051789Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4051978Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4052164Z     buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4052349Z     buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4052532Z     buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4052803Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:37.4052871Z     del arg0_1
2022-11-23T01:32:37.4052940Z     del arg1_1
2022-11-23T01:32:37.4053035Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:37.4053040Z 
2022-11-23T01:32:37.4053045Z 
2022-11-23T01:32:37.4053119Z if __name__ == "__main__":
2022-11-23T01:32:37.4053260Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4053381Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4053564Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4053743Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4053857Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.4053862Z 
2022-11-23T01:32:37.4053866Z 
2022-11-23T01:32:37.4053961Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4054030Z import torch
2022-11-23T01:32:37.4054099Z import random
2022-11-23T01:32:37.4054212Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4054330Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4054335Z 
2022-11-23T01:32:37.4054411Z aten = torch.ops.aten
2022-11-23T01:32:37.4054530Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4054622Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4054627Z 
2022-11-23T01:32:37.4054631Z 
2022-11-23T01:32:37.4054762Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4054962Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4055079Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:37.4055182Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:37.4055280Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.4055377Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:37.4055457Z                        long* __restrict__ out_ptr2,
2022-11-23T01:32:37.4055551Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:37.4055642Z                        long* __restrict__ out_ptr4)
2022-11-23T01:32:37.4055702Z {
2022-11-23T01:32:37.4055799Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4055859Z     {
2022-11-23T01:32:37.4055937Z         #pragma omp for 
2022-11-23T01:32:37.4056007Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:37.4056069Z         {
2022-11-23T01:32:37.4056131Z             {
2022-11-23T01:32:37.4056195Z                 {
2022-11-23T01:32:37.4056286Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.4056375Z                     auto tmp2 = in_ptr1[0];
2022-11-23T01:32:37.4056480Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.4056572Z                     auto tmp3 = static_cast<float>(tmp2);
2022-11-23T01:32:37.4056663Z                     auto tmp4 = tmp1 / tmp3;
2022-11-23T01:32:37.4056913Z                     auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2);
2022-11-23T01:32:37.4057001Z                     auto tmp6 = tmp0 / tmp2;
2022-11-23T01:32:37.4057084Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:32:37.4057166Z                     out_ptr1[i0] = tmp5;
2022-11-23T01:32:37.4057250Z                     out_ptr2[i0] = tmp6;
2022-11-23T01:32:37.4057318Z                     out_ptr3[i0] = tmp4;
2022-11-23T01:32:37.4057397Z                     out_ptr4[i0] = tmp5;
2022-11-23T01:32:37.4057461Z                 }
2022-11-23T01:32:37.4057523Z             }
2022-11-23T01:32:37.4057585Z         }
2022-11-23T01:32:37.4057647Z     }
2022-11-23T01:32:37.4057704Z }
2022-11-23T01:32:37.4057769Z ''')
2022-11-23T01:32:37.4057774Z 
2022-11-23T01:32:37.4057778Z 
2022-11-23T01:32:37.4057867Z async_compile.wait(globals())
2022-11-23T01:32:37.4057970Z del async_compile
2022-11-23T01:32:37.4057974Z 
2022-11-23T01:32:37.4058044Z def call(args):
2022-11-23T01:32:37.4058119Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.4058189Z     args.clear()
2022-11-23T01:32:37.4058384Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4058559Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.4058793Z     buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.4058983Z     buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4059164Z     buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.4059422Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:37.4059490Z     del arg0_1
2022-11-23T01:32:37.4059559Z     del arg1_1
2022-11-23T01:32:37.4059654Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:37.4059659Z 
2022-11-23T01:32:37.4059663Z 
2022-11-23T01:32:37.4059739Z if __name__ == "__main__":
2022-11-23T01:32:37.4059839Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4059964Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4060153Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.4060335Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.4060449Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.4060454Z 
2022-11-23T01:32:37.4060458Z 
2022-11-23T01:32:37.4060554Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4060624Z import torch
2022-11-23T01:32:37.4060680Z import random
2022-11-23T01:32:37.4060796Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4060915Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4060921Z 
2022-11-23T01:32:37.4061000Z aten = torch.ops.aten
2022-11-23T01:32:37.4061134Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4061225Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4061230Z 
2022-11-23T01:32:37.4061234Z 
2022-11-23T01:32:37.4061366Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4061572Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4061679Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:37.4061784Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:37.4061880Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.4061974Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:37.4062068Z                        long* __restrict__ out_ptr2,
2022-11-23T01:32:37.4062162Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:37.4062256Z                        long* __restrict__ out_ptr4)
2022-11-23T01:32:37.4062317Z {
2022-11-23T01:32:37.4062400Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4062460Z     {
2022-11-23T01:32:37.4062534Z         #pragma omp for 
2022-11-23T01:32:37.4062616Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:37.4062678Z         {
2022-11-23T01:32:37.4062745Z             {
2022-11-23T01:32:37.4062797Z                 {
2022-11-23T01:32:37.4062887Z                     auto tmp0 = in_ptr0[0];
2022-11-23T01:32:37.4062980Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:37.4063084Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.4063188Z                     auto tmp3 = static_cast<float>(tmp2);
2022-11-23T01:32:37.4063276Z                     auto tmp4 = tmp1 / tmp3;
2022-11-23T01:32:37.4063524Z                     auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2);
2022-11-23T01:32:37.4063612Z                     auto tmp6 = tmp0 / tmp2;
2022-11-23T01:32:37.4063712Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:32:37.4063795Z                     out_ptr1[i0] = tmp5;
2022-11-23T01:32:37.4063876Z                     out_ptr2[i0] = tmp6;
2022-11-23T01:32:37.4063957Z                     out_ptr3[i0] = tmp4;
2022-11-23T01:32:37.4064036Z                     out_ptr4[i0] = tmp5;
2022-11-23T01:32:37.4064100Z                 }
2022-11-23T01:32:37.4064162Z             }
2022-11-23T01:32:37.4064239Z         }
2022-11-23T01:32:37.4064300Z     }
2022-11-23T01:32:37.4064359Z }
2022-11-23T01:32:37.4064517Z ''')
2022-11-23T01:32:37.4064522Z 
2022-11-23T01:32:37.4064526Z 
2022-11-23T01:32:37.4064621Z async_compile.wait(globals())
2022-11-23T01:32:37.4064693Z del async_compile
2022-11-23T01:32:37.4064697Z 
2022-11-23T01:32:37.4064767Z def call(args):
2022-11-23T01:32:37.4064830Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.4064901Z     args.clear()
2022-11-23T01:32:37.4065096Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4065289Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.4065472Z     buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.4065663Z     buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4065848Z     buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.4066095Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:37.4066165Z     del arg0_1
2022-11-23T01:32:37.4066232Z     del arg1_1
2022-11-23T01:32:37.4066329Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:37.4066334Z 
2022-11-23T01:32:37.4066338Z 
2022-11-23T01:32:37.4066418Z if __name__ == "__main__":
2022-11-23T01:32:37.4066533Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4066657Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4066837Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.4067012Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.4067125Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.4067498Z [2022-11-23 01:19:56,896] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bk/cbkaqqllxd4bagavncs7cz2gturzuw3tru34nbrmmoae5ho6vd4l.py
2022-11-23T01:32:37.4067765Z [2022-11-23 01:19:56,897] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 160
2022-11-23T01:32:37.4067771Z 
2022-11-23T01:32:37.4067837Z ok (10.621s)
2022-11-23T01:32:37.4068140Z   test_dropout_cpu (__main__.CpuTests) ... [2022-11-23 01:19:56,908] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn1
2022-11-23T01:32:37.4068409Z [2022-11-23 01:19:56,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3825
2022-11-23T01:32:37.4068631Z [2022-11-23 01:19:56,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.4068992Z [2022-11-23 01:19:56,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.4069371Z [2022-11-23 01:19:56,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.7/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:37.4069775Z [2022-11-23 01:19:56,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:37.4070051Z [2022-11-23 01:19:56,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function dropout at 0x7f71ce63ccb0>)]
2022-11-23T01:32:37.4070420Z [2022-11-23 01:19:56,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function dropout at 0x7f71ce63ccb0>), TensorVariable()]
2022-11-23T01:32:37.4070664Z [2022-11-23 01:19:56,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.4070897Z [2022-11-23 01:19:56,917] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn1
2022-11-23T01:32:37.4071170Z [2022-11-23 01:19:56,919] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:37.4071406Z [2022-11-23 01:19:56,925] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:37.4071592Z [2022-11-23 01:19:56,926] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4071726Z  __compiled_fn_162 <eval_with_key>.1031 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4071812Z placeholder, a, a, (), {}
2022-11-23T01:32:37.4071952Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7f71c139ca70>, (a,), {}
2022-11-23T01:32:37.4072063Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T01:32:37.4072068Z 
2022-11-23T01:32:37.4072346Z [2022-11-23 01:19:56,926] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn1 inductor/test_torchinductor.py line 3823 
2022-11-23T01:32:37.4072443Z 3825           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.4072538Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:32:37.4072639Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:32:37.4072736Z                6 LOAD_METHOD              3 (dropout)
2022-11-23T01:32:37.4072827Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4072902Z               10 CALL_METHOD              1
2022-11-23T01:32:37.4072979Z               12 RETURN_VALUE
2022-11-23T01:32:37.4072983Z 
2022-11-23T01:32:37.4073043Z  
2022-11-23T01:32:37.4073319Z [2022-11-23 01:19:56,926] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn1 inductor/test_torchinductor.py line 3823 
2022-11-23T01:32:37.4073430Z 3823           0 LOAD_GLOBAL              4 (__compiled_fn_162)
2022-11-23T01:32:37.4073518Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4073607Z                4 CALL_FUNCTION            1
2022-11-23T01:32:37.4073686Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.4073759Z                8 RETURN_VALUE
2022-11-23T01:32:37.4073764Z 
2022-11-23T01:32:37.4073826Z  
2022-11-23T01:32:37.4074007Z [2022-11-23 01:19:56,927] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4074074Z  - 
2022-11-23T01:32:37.4074192Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:37.4074255Z             {
2022-11-23T01:32:37.4074384Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4074489Z                 'code': None,
2022-11-23T01:32:37.4074698Z                 'obj_weakref': <weakref at 0x7f7129f22bf0; to 'Tensor' at 0x7f710674b350>
2022-11-23T01:32:37.4074947Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4075012Z             }
2022-11-23T01:32:37.4075074Z             
2022-11-23T01:32:37.4075142Z  - 
2022-11-23T01:32:37.4075262Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.4075323Z             {
2022-11-23T01:32:37.4075442Z                 'guard_types': None,
2022-11-23T01:32:37.4075547Z                 'code': None,
2022-11-23T01:32:37.4075666Z                 'obj_weakref': None
2022-11-23T01:32:37.4075786Z                 'guarded_class': None
2022-11-23T01:32:37.4075848Z             }
2022-11-23T01:32:37.4075898Z             
2022-11-23T01:32:37.4076153Z [2022-11-23 01:19:56,946] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 161
2022-11-23T01:32:37.4076403Z [2022-11-23 01:19:56,947] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:32:37.4076801Z [2022-11-23 01:19:59,462] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gy/cgyozxjecynoouqhku2wr2opwkvq4fd76g2mtltb2w25i2ikzxrp.py
2022-11-23T01:32:37.4077066Z [2022-11-23 01:19:59,462] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 161
2022-11-23T01:32:37.4077503Z [2022-11-23 01:19:59,470] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn2
2022-11-23T01:32:37.4077826Z [2022-11-23 01:19:59,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3837
2022-11-23T01:32:37.4078048Z [2022-11-23 01:19:59,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.4078407Z [2022-11-23 01:19:59,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.4078792Z [2022-11-23 01:19:59,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.7/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:37.4079186Z [2022-11-23 01:19:59,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:37.4079485Z [2022-11-23 01:19:59,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function dropout at 0x7f71ce63ccb0>)]
2022-11-23T01:32:37.4079805Z [2022-11-23 01:19:59,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.5 [TorchVariable(<function dropout at 0x7f71ce63ccb0>), TensorVariable()]
2022-11-23T01:32:37.4080170Z [2022-11-23 01:19:59,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<function dropout at 0x7f71ce63ccb0>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.4080573Z [2022-11-23 01:19:59,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function dropout at 0x7f71ce63ccb0>), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)]
2022-11-23T01:32:37.4080821Z [2022-11-23 01:19:59,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.4081055Z [2022-11-23 01:19:59,479] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn2
2022-11-23T01:32:37.4081299Z [2022-11-23 01:19:59,485] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:37.4081537Z [2022-11-23 01:19:59,493] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:37.4081726Z [2022-11-23 01:19:59,493] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4081847Z  __compiled_fn_163 <eval_with_key>.1037 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4081932Z placeholder, a, a, (), {}
2022-11-23T01:32:37.4082089Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7f71c139ca70>, (a, 0.5, True), {}
2022-11-23T01:32:37.4082206Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T01:32:37.4082211Z 
2022-11-23T01:32:37.4082487Z [2022-11-23 01:19:59,494] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn2 inductor/test_torchinductor.py line 3835 
2022-11-23T01:32:37.4082582Z 3837           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.4082671Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:32:37.4082773Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:32:37.4082858Z                6 LOAD_METHOD              3 (dropout)
2022-11-23T01:32:37.4082946Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4083036Z               10 LOAD_CONST               1 (0.5)
2022-11-23T01:32:37.4083128Z               12 LOAD_CONST               2 (True)
2022-11-23T01:32:37.4083214Z               14 CALL_METHOD              3
2022-11-23T01:32:37.4083289Z               16 RETURN_VALUE
2022-11-23T01:32:37.4083338Z 
2022-11-23T01:32:37.4083399Z  
2022-11-23T01:32:37.4083675Z [2022-11-23 01:19:59,494] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn2 inductor/test_torchinductor.py line 3835 
2022-11-23T01:32:37.4083769Z 3835           0 LOAD_GLOBAL              4 (__compiled_fn_163)
2022-11-23T01:32:37.4083857Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4083945Z                4 CALL_FUNCTION            1
2022-11-23T01:32:37.4084034Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.4084137Z                8 RETURN_VALUE
2022-11-23T01:32:37.4084142Z 
2022-11-23T01:32:37.4084204Z  
2022-11-23T01:32:37.4084385Z [2022-11-23 01:19:59,495] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4084442Z  - 
2022-11-23T01:32:37.4084559Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:37.4084622Z             {
2022-11-23T01:32:37.4084765Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4084871Z                 'code': None,
2022-11-23T01:32:37.4085081Z                 'obj_weakref': <weakref at 0x7f7129f22bf0; to 'Tensor' at 0x7f710674b350>
2022-11-23T01:32:37.4085330Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4085392Z             }
2022-11-23T01:32:37.4085442Z             
2022-11-23T01:32:37.4085509Z  - 
2022-11-23T01:32:37.4085640Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.4085702Z             {
2022-11-23T01:32:37.4085824Z                 'guard_types': None,
2022-11-23T01:32:37.4085929Z                 'code': None,
2022-11-23T01:32:37.4086034Z                 'obj_weakref': None
2022-11-23T01:32:37.4086152Z                 'guarded_class': None
2022-11-23T01:32:37.4086215Z             }
2022-11-23T01:32:37.4086277Z             
2022-11-23T01:32:37.4086529Z [2022-11-23 01:19:59,520] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 162
2022-11-23T01:32:37.4086780Z [2022-11-23 01:19:59,520] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:32:37.4087149Z [2022-11-23 01:19:59,537] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gy/cgyozxjecynoouqhku2wr2opwkvq4fd76g2mtltb2w25i2ikzxrp.py
2022-11-23T01:32:37.4087409Z [2022-11-23 01:19:59,537] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 162
2022-11-23T01:32:37.4087414Z 
2022-11-23T01:32:37.4087495Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4087565Z import torch
2022-11-23T01:32:37.4087637Z import random
2022-11-23T01:32:37.4087752Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4087871Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4087879Z 
2022-11-23T01:32:37.4087955Z aten = torch.ops.aten
2022-11-23T01:32:37.4088087Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4088177Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4088326Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T01:32:37.4088333Z 
2022-11-23T01:32:37.4088338Z 
2022-11-23T01:32:37.4088470Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4088673Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4088786Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T01:32:37.4088894Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.4088994Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.4089054Z {
2022-11-23T01:32:37.4089151Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4089200Z     {
2022-11-23T01:32:37.4089276Z         #pragma omp for 
2022-11-23T01:32:37.4089358Z         for(long i0=0; i0<1000; i0+=1)
2022-11-23T01:32:37.4089422Z         {
2022-11-23T01:32:37.4089485Z             {
2022-11-23T01:32:37.4089549Z                 {
2022-11-23T01:32:37.4089623Z                     auto tmp0 = seed0[0];
2022-11-23T01:32:37.4089746Z                     auto tmp6 = in_ptr1[i0];
2022-11-23T01:32:37.4089847Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T01:32:37.4089982Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T01:32:37.4090086Z                     auto tmp3 = static_cast<float>(0.5);
2022-11-23T01:32:37.4090175Z                     auto tmp4 = tmp2 > tmp3;
2022-11-23T01:32:37.4090311Z                     auto tmp5 = static_cast<float>(tmp4);
2022-11-23T01:32:37.4090389Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T01:32:37.4090493Z                     auto tmp8 = static_cast<float>(2.0);
2022-11-23T01:32:37.4090582Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.4090664Z                     out_ptr0[i0] = tmp9;
2022-11-23T01:32:37.4090730Z                 }
2022-11-23T01:32:37.4090795Z             }
2022-11-23T01:32:37.4090856Z         }
2022-11-23T01:32:37.4090903Z     }
2022-11-23T01:32:37.4090965Z }
2022-11-23T01:32:37.4091044Z ''')
2022-11-23T01:32:37.4091049Z 
2022-11-23T01:32:37.4091053Z 
2022-11-23T01:32:37.4091142Z async_compile.wait(globals())
2022-11-23T01:32:37.4091215Z del async_compile
2022-11-23T01:32:37.4091220Z 
2022-11-23T01:32:37.4091290Z def call(args):
2022-11-23T01:32:37.4091357Z     arg0_1, = args
2022-11-23T01:32:37.4091427Z     args.clear()
2022-11-23T01:32:37.4091546Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T01:32:37.4091744Z     buf0 = empty_strided((1000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4091914Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.4091982Z     del arg0_1
2022-11-23T01:32:37.4092053Z     return (buf0, )
2022-11-23T01:32:37.4092057Z 
2022-11-23T01:32:37.4092061Z 
2022-11-23T01:32:37.4092136Z if __name__ == "__main__":
2022-11-23T01:32:37.4092247Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4092358Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4092550Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.4092745Z     arg0_1 = rand_strided((1000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4092851Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.4092856Z 
2022-11-23T01:32:37.4092861Z 
2022-11-23T01:32:37.4092954Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4093025Z import torch
2022-11-23T01:32:37.4093094Z import random
2022-11-23T01:32:37.4093207Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4093314Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4093331Z 
2022-11-23T01:32:37.4093396Z aten = torch.ops.aten
2022-11-23T01:32:37.4093528Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4093618Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4093779Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T01:32:37.4093786Z 
2022-11-23T01:32:37.4093790Z 
2022-11-23T01:32:37.4093921Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4094125Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4094239Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T01:32:37.4094342Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.4094431Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.4094491Z {
2022-11-23T01:32:37.4094587Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4094649Z     {
2022-11-23T01:32:37.4094725Z         #pragma omp for 
2022-11-23T01:32:37.4094807Z         for(long i0=0; i0<1000; i0+=1)
2022-11-23T01:32:37.4094857Z         {
2022-11-23T01:32:37.4094920Z             {
2022-11-23T01:32:37.4094983Z                 {
2022-11-23T01:32:37.4095068Z                     auto tmp0 = seed0[0];
2022-11-23T01:32:37.4095191Z                     auto tmp6 = in_ptr1[i0];
2022-11-23T01:32:37.4095291Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T01:32:37.4095428Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T01:32:37.4095520Z                     auto tmp3 = static_cast<float>(0.5);
2022-11-23T01:32:37.4095611Z                     auto tmp4 = tmp2 > tmp3;
2022-11-23T01:32:37.4095717Z                     auto tmp5 = static_cast<float>(tmp4);
2022-11-23T01:32:37.4095831Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T01:32:37.4095934Z                     auto tmp8 = static_cast<float>(2.0);
2022-11-23T01:32:37.4096021Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.4096109Z                     out_ptr0[i0] = tmp9;
2022-11-23T01:32:37.4096161Z                 }
2022-11-23T01:32:37.4096224Z             }
2022-11-23T01:32:37.4096285Z         }
2022-11-23T01:32:37.4096346Z     }
2022-11-23T01:32:37.4096405Z }
2022-11-23T01:32:37.4096484Z ''')
2022-11-23T01:32:37.4096489Z 
2022-11-23T01:32:37.4096493Z 
2022-11-23T01:32:37.4096582Z async_compile.wait(globals())
2022-11-23T01:32:37.4096641Z del async_compile
2022-11-23T01:32:37.4096657Z 
2022-11-23T01:32:37.4096714Z def call(args):
2022-11-23T01:32:37.4096786Z     arg0_1, = args
2022-11-23T01:32:37.4096856Z     args.clear()
2022-11-23T01:32:37.4096988Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T01:32:37.4097185Z     buf0 = empty_strided((1000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4097359Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.4097426Z     del arg0_1
2022-11-23T01:32:37.4097484Z     return (buf0, )
2022-11-23T01:32:37.4097489Z 
2022-11-23T01:32:37.4097492Z 
2022-11-23T01:32:37.4097567Z if __name__ == "__main__":
2022-11-23T01:32:37.4097677Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4097799Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4097994Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.4098189Z     arg0_1 = rand_strided((1000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4098295Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.4098300Z 
2022-11-23T01:32:37.4098366Z ok (2.637s)
2022-11-23T01:32:37.4098682Z   test_dropout_deterministic_cpu (__main__.CpuTests) ... [2022-11-23 01:19:59,546] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:37.4098956Z [2022-11-23 01:19:59,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3846
2022-11-23T01:32:37.4099172Z [2022-11-23 01:19:59,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.4099531Z [2022-11-23 01:19:59,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.4099912Z [2022-11-23 01:19:59,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.7/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:37.4100317Z [2022-11-23 01:19:59,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:37.4100605Z [2022-11-23 01:19:59,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function dropout at 0x7f71ce63ccb0>)]
2022-11-23T01:32:37.4100929Z [2022-11-23 01:19:59,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.55 [TorchVariable(<function dropout at 0x7f71ce63ccb0>), TensorVariable()]
2022-11-23T01:32:37.4101296Z [2022-11-23 01:19:59,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<function dropout at 0x7f71ce63ccb0>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.4101731Z [2022-11-23 01:19:59,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function dropout at 0x7f71ce63ccb0>), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)]
2022-11-23T01:32:37.4101979Z [2022-11-23 01:19:59,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.4102257Z [2022-11-23 01:19:59,553] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:37.4102487Z [2022-11-23 01:19:59,555] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:37.4102721Z [2022-11-23 01:19:59,562] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:37.4102907Z [2022-11-23 01:19:59,562] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4103040Z  __compiled_fn_164 <eval_with_key>.1043 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4103127Z placeholder, a, a, (), {}
2022-11-23T01:32:37.4103284Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7f71c139ca70>, (a, 0.55, True), {}
2022-11-23T01:32:37.4103395Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T01:32:37.4103401Z 
2022-11-23T01:32:37.4103677Z [2022-11-23 01:19:59,563] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 3844 
2022-11-23T01:32:37.4103761Z 3846           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.4103849Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:32:37.4103950Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:32:37.4104046Z                6 LOAD_METHOD              3 (dropout)
2022-11-23T01:32:37.4104135Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4104227Z               10 LOAD_CONST               1 (0.55)
2022-11-23T01:32:37.4104323Z               12 LOAD_CONST               2 (True)
2022-11-23T01:32:37.4104399Z               14 CALL_METHOD              3
2022-11-23T01:32:37.4104557Z               16 RETURN_VALUE
2022-11-23T01:32:37.4104565Z 
2022-11-23T01:32:37.4104628Z  
2022-11-23T01:32:37.4104910Z [2022-11-23 01:19:59,563] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 3844 
2022-11-23T01:32:37.4105019Z 3844           0 LOAD_GLOBAL              4 (__compiled_fn_164)
2022-11-23T01:32:37.4105112Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4105205Z                4 CALL_FUNCTION            1
2022-11-23T01:32:37.4105298Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.4105361Z                8 RETURN_VALUE
2022-11-23T01:32:37.4105366Z 
2022-11-23T01:32:37.4105426Z  
2022-11-23T01:32:37.4105607Z [2022-11-23 01:19:59,564] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4105677Z  - 
2022-11-23T01:32:37.4105796Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:37.4105862Z             {
2022-11-23T01:32:37.4106007Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4106100Z                 'code': None,
2022-11-23T01:32:37.4106314Z                 'obj_weakref': <weakref at 0x7f71063ca0b0; to 'Tensor' at 0x7f71ce00bd10>
2022-11-23T01:32:37.4106566Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4106631Z             }
2022-11-23T01:32:37.4106695Z             
2022-11-23T01:32:37.4106765Z  - 
2022-11-23T01:32:37.4106897Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.4106948Z             {
2022-11-23T01:32:37.4107066Z                 'guard_types': None,
2022-11-23T01:32:37.4107171Z                 'code': None,
2022-11-23T01:32:37.4107287Z                 'obj_weakref': None
2022-11-23T01:32:37.4107406Z                 'guarded_class': None
2022-11-23T01:32:37.4107468Z             }
2022-11-23T01:32:37.4107530Z             
2022-11-23T01:32:37.4107771Z [2022-11-23 01:19:59,587] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 163
2022-11-23T01:32:37.4108060Z [2022-11-23 01:19:59,588] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:32:37.4108427Z [2022-11-23 01:20:02,156] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4l/c4loddx5gkectkrxqdxgq6j5fqz7kroliy3hgnf54qmfqrr7rfb4.py
2022-11-23T01:32:37.4108714Z [2022-11-23 01:20:02,156] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 163
2022-11-23T01:32:37.4108947Z [2022-11-23 01:20:02,170] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:37.4109211Z [2022-11-23 01:20:02,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3846
2022-11-23T01:32:37.4109427Z [2022-11-23 01:20:02,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.4109788Z [2022-11-23 01:20:02,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.4110170Z [2022-11-23 01:20:02,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.7/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:37.4110576Z [2022-11-23 01:20:02,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:37.4110853Z [2022-11-23 01:20:02,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function dropout at 0x7f71ce63ccb0>)]
2022-11-23T01:32:37.4111170Z [2022-11-23 01:20:02,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.55 [TorchVariable(<function dropout at 0x7f71ce63ccb0>), TensorVariable()]
2022-11-23T01:32:37.4111529Z [2022-11-23 01:20:02,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<function dropout at 0x7f71ce63ccb0>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.4111932Z [2022-11-23 01:20:02,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function dropout at 0x7f71ce63ccb0>), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)]
2022-11-23T01:32:37.4112180Z [2022-11-23 01:20:02,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.4112411Z [2022-11-23 01:20:02,179] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:37.4112649Z [2022-11-23 01:20:02,181] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:37.4112884Z [2022-11-23 01:20:02,189] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:37.4113070Z [2022-11-23 01:20:02,190] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4113208Z  __compiled_fn_165 <eval_with_key>.1049 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4113278Z placeholder, a, a, (), {}
2022-11-23T01:32:37.4113438Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7f71c139ca70>, (a, 0.55, True), {}
2022-11-23T01:32:37.4113550Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T01:32:37.4113555Z 
2022-11-23T01:32:37.4113832Z [2022-11-23 01:20:02,190] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 3844 
2022-11-23T01:32:37.4113927Z 3846           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.4114017Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:32:37.4114117Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:32:37.4114215Z                6 LOAD_METHOD              3 (dropout)
2022-11-23T01:32:37.4114291Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4114382Z               10 LOAD_CONST               1 (0.55)
2022-11-23T01:32:37.4114504Z               12 LOAD_CONST               2 (True)
2022-11-23T01:32:37.4114591Z               14 CALL_METHOD              3
2022-11-23T01:32:37.4114667Z               16 RETURN_VALUE
2022-11-23T01:32:37.4114671Z 
2022-11-23T01:32:37.4114733Z  
2022-11-23T01:32:37.4115009Z [2022-11-23 01:20:02,190] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 3844 
2022-11-23T01:32:37.4115145Z 3844           0 LOAD_GLOBAL              4 (__compiled_fn_165)
2022-11-23T01:32:37.4115224Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4115317Z                4 CALL_FUNCTION            1
2022-11-23T01:32:37.4115408Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.4115484Z                8 RETURN_VALUE
2022-11-23T01:32:37.4115489Z 
2022-11-23T01:32:37.4115549Z  
2022-11-23T01:32:37.4115730Z [2022-11-23 01:20:02,192] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4115800Z  - 
2022-11-23T01:32:37.4115943Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:37.4116006Z             {
2022-11-23T01:32:37.4116147Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4116252Z                 'code': None,
2022-11-23T01:32:37.4116459Z                 'obj_weakref': <weakref at 0x7f7106bdb890; to 'Tensor' at 0x7f710637e8f0>
2022-11-23T01:32:37.4116709Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4116775Z             }
2022-11-23T01:32:37.4116826Z             
2022-11-23T01:32:37.4116895Z  - 
2022-11-23T01:32:37.4117026Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.4117090Z             {
2022-11-23T01:32:37.4117354Z                 'guard_types': None,
2022-11-23T01:32:37.4117462Z                 'code': None,
2022-11-23T01:32:37.4117582Z                 'obj_weakref': None
2022-11-23T01:32:37.4117690Z                 'guarded_class': None
2022-11-23T01:32:37.4117753Z             }
2022-11-23T01:32:37.4117820Z             
2022-11-23T01:32:37.4118081Z [2022-11-23 01:20:02,217] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 164
2022-11-23T01:32:37.4118335Z [2022-11-23 01:20:02,218] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:32:37.4118704Z [2022-11-23 01:20:02,235] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4l/c4loddx5gkectkrxqdxgq6j5fqz7kroliy3hgnf54qmfqrr7rfb4.py
2022-11-23T01:32:37.4118970Z [2022-11-23 01:20:02,235] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 164
2022-11-23T01:32:37.4118976Z 
2022-11-23T01:32:37.4119069Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4119125Z import torch
2022-11-23T01:32:37.4119195Z import random
2022-11-23T01:32:37.4119312Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4119433Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4119441Z 
2022-11-23T01:32:37.4119520Z aten = torch.ops.aten
2022-11-23T01:32:37.4119654Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4119745Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4119893Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T01:32:37.4119911Z 
2022-11-23T01:32:37.4119915Z 
2022-11-23T01:32:37.4120035Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4120241Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4120355Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T01:32:37.4120458Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.4120557Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.4120617Z {
2022-11-23T01:32:37.4120713Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4120762Z     {
2022-11-23T01:32:37.4120837Z         #pragma omp for 
2022-11-23T01:32:37.4120985Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:37.4121047Z         {
2022-11-23T01:32:37.4121112Z             {
2022-11-23T01:32:37.4121178Z                 {
2022-11-23T01:32:37.4121267Z                     auto tmp0 = seed0[0];
2022-11-23T01:32:37.4121347Z                     auto tmp6 = in_ptr1[i0];
2022-11-23T01:32:37.4121448Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T01:32:37.4121622Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T01:32:37.4121730Z                     auto tmp3 = static_cast<float>(0.55);
2022-11-23T01:32:37.4121822Z                     auto tmp4 = tmp2 > tmp3;
2022-11-23T01:32:37.4121926Z                     auto tmp5 = static_cast<float>(tmp4);
2022-11-23T01:32:37.4122015Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T01:32:37.4122116Z                     auto tmp8 = static_cast<float>(2.2222222222222223);
2022-11-23T01:32:37.4122205Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.4122294Z                     out_ptr0[i0] = tmp9;
2022-11-23T01:32:37.4122358Z                 }
2022-11-23T01:32:37.4122421Z             }
2022-11-23T01:32:37.4122485Z         }
2022-11-23T01:32:37.4122545Z     }
2022-11-23T01:32:37.4122592Z }
2022-11-23T01:32:37.4122671Z ''')
2022-11-23T01:32:37.4122676Z 
2022-11-23T01:32:37.4122679Z 
2022-11-23T01:32:37.4122768Z async_compile.wait(globals())
2022-11-23T01:32:37.4122840Z del async_compile
2022-11-23T01:32:37.4122844Z 
2022-11-23T01:32:37.4122916Z def call(args):
2022-11-23T01:32:37.4122984Z     arg0_1, = args
2022-11-23T01:32:37.4123055Z     args.clear()
2022-11-23T01:32:37.4123174Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T01:32:37.4123371Z     buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4123543Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.4123612Z     del arg0_1
2022-11-23T01:32:37.4123747Z     return (buf0, )
2022-11-23T01:32:37.4123751Z 
2022-11-23T01:32:37.4123755Z 
2022-11-23T01:32:37.4123832Z if __name__ == "__main__":
2022-11-23T01:32:37.4123946Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4124067Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4124247Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.4124444Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4124550Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.4124555Z 
2022-11-23T01:32:37.4124559Z 
2022-11-23T01:32:37.4124651Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4124719Z import torch
2022-11-23T01:32:37.4124788Z import random
2022-11-23T01:32:37.4124903Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4125023Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4125028Z 
2022-11-23T01:32:37.4125095Z aten = torch.ops.aten
2022-11-23T01:32:37.4125228Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4125318Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4125478Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T01:32:37.4125483Z 
2022-11-23T01:32:37.4125487Z 
2022-11-23T01:32:37.4125619Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4125824Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4125939Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T01:32:37.4126043Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.4126128Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.4126188Z {
2022-11-23T01:32:37.4126283Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4126344Z     {
2022-11-23T01:32:37.4126420Z         #pragma omp for 
2022-11-23T01:32:37.4126537Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:37.4126600Z         {
2022-11-23T01:32:37.4126649Z             {
2022-11-23T01:32:37.4126714Z                 {
2022-11-23T01:32:37.4126805Z                     auto tmp0 = seed0[0];
2022-11-23T01:32:37.4126896Z                     auto tmp6 = in_ptr1[i0];
2022-11-23T01:32:37.4126996Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T01:32:37.4127158Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T01:32:37.4127262Z                     auto tmp3 = static_cast<float>(0.55);
2022-11-23T01:32:37.4127341Z                     auto tmp4 = tmp2 > tmp3;
2022-11-23T01:32:37.4127445Z                     auto tmp5 = static_cast<float>(tmp4);
2022-11-23T01:32:37.4127535Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T01:32:37.4127645Z                     auto tmp8 = static_cast<float>(2.2222222222222223);
2022-11-23T01:32:37.4127734Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.4127820Z                     out_ptr0[i0] = tmp9;
2022-11-23T01:32:37.4127885Z                 }
2022-11-23T01:32:37.4127935Z             }
2022-11-23T01:32:37.4127997Z         }
2022-11-23T01:32:37.4128058Z     }
2022-11-23T01:32:37.4128119Z }
2022-11-23T01:32:37.4128196Z ''')
2022-11-23T01:32:37.4128201Z 
2022-11-23T01:32:37.4128205Z 
2022-11-23T01:32:37.4128293Z async_compile.wait(globals())
2022-11-23T01:32:37.4128363Z del async_compile
2022-11-23T01:32:37.4128368Z 
2022-11-23T01:32:37.4128426Z def call(args):
2022-11-23T01:32:37.4128496Z     arg0_1, = args
2022-11-23T01:32:37.4128567Z     args.clear()
2022-11-23T01:32:37.4128697Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T01:32:37.4128893Z     buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4129065Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.4129132Z     del arg0_1
2022-11-23T01:32:37.4129205Z     return (buf0, )
2022-11-23T01:32:37.4129210Z 
2022-11-23T01:32:37.4129214Z 
2022-11-23T01:32:37.4129276Z if __name__ == "__main__":
2022-11-23T01:32:37.4129388Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4129507Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4129701Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.4129899Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4130005Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.4130010Z 
2022-11-23T01:32:37.4130075Z ok (2.705s)
2022-11-23T01:32:37.4130399Z   test_dtype_mismatch_issue_cpu (__main__.CpuTests) ... [2022-11-23 01:20:02,276] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:37.4130656Z [2022-11-23 01:20:02,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4613
2022-11-23T01:32:37.4130880Z [2022-11-23 01:20:02,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.4131241Z [2022-11-23 01:20:02,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.4131620Z [2022-11-23 01:20:02,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.7/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:37.4132019Z [2022-11-23 01:20:02,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pad [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:37.4132290Z [2022-11-23 01:20:02,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in function pad>)]
2022-11-23T01:32:37.4132592Z [2022-11-23 01:20:02,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in function pad>), TensorVariable()]
2022-11-23T01:32:37.4132961Z [2022-11-23 01:20:02,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in function pad>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4133334Z [2022-11-23 01:20:02,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(<built-in function pad>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.4133694Z [2022-11-23 01:20:02,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in function pad>), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.4133937Z [2022-11-23 01:20:02,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST attn [TensorVariable()]
2022-11-23T01:32:37.4134202Z [2022-11-23 01:20:02,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4614
2022-11-23T01:32:37.4134401Z [2022-11-23 01:20:02,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST attn []
2022-11-23T01:32:37.4134647Z [2022-11-23 01:20:02,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TensorVariable()]
2022-11-23T01:32:37.4134929Z [2022-11-23 01:20:02,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), softmax)]
2022-11-23T01:32:37.4135257Z [2022-11-23 01:20:02,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dim',) [GetAttrVariable(TensorVariable(), softmax), ConstantVariable(int)]
2022-11-23T01:32:37.4135621Z [2022-11-23 01:20:02,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 1 [GetAttrVariable(TensorVariable(), softmax), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:37.4135866Z [2022-11-23 01:20:02,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.4136097Z [2022-11-23 01:20:02,296] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:37.4136340Z [2022-11-23 01:20:02,298] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:37.4136575Z [2022-11-23 01:20:02,311] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:37.4136750Z [2022-11-23 01:20:02,311] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4136883Z  __compiled_fn_166 <eval_with_key>.1055 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4136970Z placeholder, x, x, (), {}
2022-11-23T01:32:37.4137146Z call_function, pad, <built-in function pad>, (x, [0, 1]), {}
2022-11-23T01:32:37.4137302Z call_method, softmax, softmax, (pad,), {'dim': -1}
2022-11-23T01:32:37.4137402Z output, output, output, ((softmax,),), {}
2022-11-23T01:32:37.4137407Z 
2022-11-23T01:32:37.4137683Z [2022-11-23 01:20:02,312] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 4612 
2022-11-23T01:32:37.4137779Z 4613           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.4137860Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:32:37.4137961Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:32:37.4138053Z                6 LOAD_METHOD              3 (pad)
2022-11-23T01:32:37.4138143Z                8 LOAD_FAST                0 (x)
2022-11-23T01:32:37.4138232Z               10 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4138319Z               12 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4138408Z               14 BUILD_LIST               2
2022-11-23T01:32:37.4138482Z               16 CALL_METHOD              2
2022-11-23T01:32:37.4138573Z               18 STORE_FAST               1 (attn)
2022-11-23T01:32:37.4138578Z 
2022-11-23T01:32:37.4138667Z 4614          20 LOAD_FAST                1 (attn)
2022-11-23T01:32:37.4138759Z               22 LOAD_ATTR                4 (softmax)
2022-11-23T01:32:37.4138896Z               24 LOAD_CONST               3 (-1)
2022-11-23T01:32:37.4139069Z               26 LOAD_CONST               4 (('dim',))
2022-11-23T01:32:37.4139160Z               28 CALL_FUNCTION_KW         1
2022-11-23T01:32:37.4139237Z               30 RETURN_VALUE
2022-11-23T01:32:37.4139241Z 
2022-11-23T01:32:37.4139289Z  
2022-11-23T01:32:37.4139565Z [2022-11-23 01:20:02,312] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 4612 
2022-11-23T01:32:37.4139672Z 4612           0 LOAD_GLOBAL              5 (__compiled_fn_166)
2022-11-23T01:32:37.4139787Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:37.4139876Z                4 CALL_FUNCTION            1
2022-11-23T01:32:37.4139967Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.4140041Z                8 RETURN_VALUE
2022-11-23T01:32:37.4140045Z 
2022-11-23T01:32:37.4140103Z  
2022-11-23T01:32:37.4140271Z [2022-11-23 01:20:02,314] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4140339Z  - 
2022-11-23T01:32:37.4140456Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:37.4140536Z             {
2022-11-23T01:32:37.4140676Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4140781Z                 'code': None,
2022-11-23T01:32:37.4140988Z                 'obj_weakref': <weakref at 0x7f7106737a10; to 'Tensor' at 0x7f7106b9a470>
2022-11-23T01:32:37.4141223Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4141287Z             }
2022-11-23T01:32:37.4141352Z             
2022-11-23T01:32:37.4141421Z  - 
2022-11-23T01:32:37.4141552Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.4141615Z             {
2022-11-23T01:32:37.4141736Z                 'guard_types': None,
2022-11-23T01:32:37.4141828Z                 'code': None,
2022-11-23T01:32:37.4141947Z                 'obj_weakref': None
2022-11-23T01:32:37.4142065Z                 'guarded_class': None
2022-11-23T01:32:37.4142129Z             }
2022-11-23T01:32:37.4142195Z             
2022-11-23T01:32:37.4142453Z [2022-11-23 01:20:02,337] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 165
2022-11-23T01:32:37.4142815Z [2022-11-23 01:20:04,981] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i3/ci3vw34ftalkp3mipsn5lgc5chan4br72awtcwqp7i5luqvsepdr.py
2022-11-23T01:32:37.4143065Z [2022-11-23 01:20:04,981] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 165
2022-11-23T01:32:37.4143084Z 
2022-11-23T01:32:37.4143164Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4143233Z import torch
2022-11-23T01:32:37.4143302Z import random
2022-11-23T01:32:37.4143416Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4143535Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4143539Z 
2022-11-23T01:32:37.4143617Z aten = torch.ops.aten
2022-11-23T01:32:37.4143748Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4143829Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4143834Z 
2022-11-23T01:32:37.4143838Z 
2022-11-23T01:32:37.4143972Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4144173Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4144288Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.4144394Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.4144583Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.4144683Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:37.4144745Z {
2022-11-23T01:32:37.4144818Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:32:37.4144916Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4144979Z     {
2022-11-23T01:32:37.4145056Z         #pragma omp for 
2022-11-23T01:32:37.4145141Z         for(long i0=0; i0<4096; i0+=1)
2022-11-23T01:32:37.4145205Z         {
2022-11-23T01:32:37.4145255Z             {
2022-11-23T01:32:37.4145428Z                 {
2022-11-23T01:32:37.4145694Z                     float tmp5 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.4145788Z                     for(long i1=0; i1<64; i1+=1)
2022-11-23T01:32:37.4145856Z                     {
2022-11-23T01:32:37.4145926Z                         {
2022-11-23T01:32:37.4146036Z                             auto tmp0 = static_cast<long>(i1);
2022-11-23T01:32:37.4146170Z                             auto tmp1 = static_cast<long>(63);
2022-11-23T01:32:37.4146268Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:37.4146358Z                             float tmp3 = 0.0;
2022-11-23T01:32:37.4146436Z                             if(tmp2)
2022-11-23T01:32:37.4146507Z                             {
2022-11-23T01:32:37.4146612Z                                 auto tmp4 = in_ptr0[i1 + (63*i0)];
2022-11-23T01:32:37.4146696Z                                 tmp3 = tmp4;
2022-11-23T01:32:37.4146752Z                             }
2022-11-23T01:32:37.4146857Z                             tmp5 = std::max(tmp5, tmp3);
2022-11-23T01:32:37.4146923Z                         }
2022-11-23T01:32:37.4146988Z                     }
2022-11-23T01:32:37.4147072Z                     out_ptr0[i0] = tmp5;
2022-11-23T01:32:37.4147137Z                 }
2022-11-23T01:32:37.4147199Z             }
2022-11-23T01:32:37.4147249Z         }
2022-11-23T01:32:37.4147326Z         #pragma omp for 
2022-11-23T01:32:37.4147409Z         for(long i0=0; i0<4096; i0+=1)
2022-11-23T01:32:37.4147472Z         {
2022-11-23T01:32:37.4147534Z             {
2022-11-23T01:32:37.4147599Z                 {
2022-11-23T01:32:37.4147678Z                     float tmp8 = 0;
2022-11-23T01:32:37.4147757Z                     for(long i1=0; i1<64; i1+=1)
2022-11-23T01:32:37.4147822Z                     {
2022-11-23T01:32:37.4147890Z                         {
2022-11-23T01:32:37.4147988Z                             auto tmp5 = out_ptr0[i0];
2022-11-23T01:32:37.4148094Z                             auto tmp0 = static_cast<long>(i1);
2022-11-23T01:32:37.4148201Z                             auto tmp1 = static_cast<long>(63);
2022-11-23T01:32:37.4148294Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:37.4148368Z                             float tmp3 = 0.0;
2022-11-23T01:32:37.4148445Z                             if(tmp2)
2022-11-23T01:32:37.4148513Z                             {
2022-11-23T01:32:37.4148619Z                                 auto tmp4 = in_ptr0[i1 + (63*i0)];
2022-11-23T01:32:37.4148703Z                                 tmp3 = tmp4;
2022-11-23T01:32:37.4148772Z                             }
2022-11-23T01:32:37.4148916Z                             auto tmp6 = tmp3 - tmp5;
2022-11-23T01:32:37.4149004Z                             auto tmp7 = std::exp(tmp6);
2022-11-23T01:32:37.4149101Z                             out_ptr1[i1 + (64*i0)] = tmp7;
2022-11-23T01:32:37.4149183Z                             tmp8 += tmp7;
2022-11-23T01:32:37.4149250Z                         }
2022-11-23T01:32:37.4149318Z                     }
2022-11-23T01:32:37.4149402Z                     out_ptr2[i0] = tmp8;
2022-11-23T01:32:37.4149465Z                 }
2022-11-23T01:32:37.4149515Z             }
2022-11-23T01:32:37.4149579Z         }
2022-11-23T01:32:37.4149654Z         #pragma omp for 
2022-11-23T01:32:37.4149734Z         for(long i0=0; i0<4096; i0+=1)
2022-11-23T01:32:37.4149796Z         {
2022-11-23T01:32:37.4149879Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:37.4149946Z             {
2022-11-23T01:32:37.4150076Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + (16*i1) + (64*i0));
2022-11-23T01:32:37.4150201Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr2[i0]);
2022-11-23T01:32:37.4150288Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:37.4150394Z                 tmp2.store(in_out_ptr0 + (16*i1) + (64*i0));
2022-11-23T01:32:37.4150458Z             }
2022-11-23T01:32:37.4150548Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.4150661Z             for(long i1=64; i1<64; i1+=1)
2022-11-23T01:32:37.4150712Z             {
2022-11-23T01:32:37.4150809Z                 auto tmp0 = out_ptr1[i1 + (64*i0)];
2022-11-23T01:32:37.4150894Z                 auto tmp1 = out_ptr2[i0];
2022-11-23T01:32:37.4150979Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:37.4151074Z                 in_out_ptr0[i1 + (64*i0)] = tmp2;
2022-11-23T01:32:37.4151140Z             }
2022-11-23T01:32:37.4151202Z         }
2022-11-23T01:32:37.4151277Z     }
2022-11-23T01:32:37.4151337Z }
2022-11-23T01:32:37.4151415Z ''')
2022-11-23T01:32:37.4151421Z 
2022-11-23T01:32:37.4151426Z 
2022-11-23T01:32:37.4151513Z async_compile.wait(globals())
2022-11-23T01:32:37.4151584Z del async_compile
2022-11-23T01:32:37.4151589Z 
2022-11-23T01:32:37.4151659Z def call(args):
2022-11-23T01:32:37.4151728Z     arg0_1, = args
2022-11-23T01:32:37.4151785Z     args.clear()
2022-11-23T01:32:37.4151998Z     buf0 = empty_strided((128, 32, 1), (32, 1, 4096), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4152212Z     buf1 = empty_strided((128, 32, 64), (2048, 64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4152416Z     buf2 = empty_strided((128, 32, 1), (32, 1, 4096), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4152500Z     buf3 = buf1; del buf1  # reuse
2022-11-23T01:32:37.4152687Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:37.4152758Z     del arg0_1
2022-11-23T01:32:37.4152828Z     return (buf3, )
2022-11-23T01:32:37.4152833Z 
2022-11-23T01:32:37.4152837Z 
2022-11-23T01:32:37.4152912Z if __name__ == "__main__":
2022-11-23T01:32:37.4153011Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4153131Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4153340Z     arg0_1 = rand_strided((128, 32, 63), (2016, 63, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4153446Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.4153453Z 
2022-11-23T01:32:37.4153518Z ok (2.805s)
2022-11-23T01:32:37.4153818Z   test_elu_cpu (__main__.CpuTests) ... [2022-11-23 01:20:05,059] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4154085Z [2022-11-23 01:20:05,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4154303Z [2022-11-23 01:20:05,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4154542Z [2022-11-23 01:20:05,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4154826Z [2022-11-23 01:20:05,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4155147Z [2022-11-23 01:20:05,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4155474Z [2022-11-23 01:20:05,061] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f640f4b0, file "inductor/test_torchinductor.py", line 2105> 
2022-11-23T01:32:37.4155569Z  2106           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.4155661Z                2 LOAD_METHOD              1 (elu)
2022-11-23T01:32:37.4155752Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.4155853Z                6 LOAD_CONST               1 (1.6732632423543772)
2022-11-23T01:32:37.4155937Z                8 LOAD_CONST               2 (1.0507009873554805)
2022-11-23T01:32:37.4156025Z               10 CALL_METHOD              3
2022-11-23T01:32:37.4156112Z               12 LOAD_CONST               3 (2)
2022-11-23T01:32:37.4156185Z               14 BINARY_ADD
2022-11-23T01:32:37.4156278Z               16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.4156368Z               18 LOAD_METHOD              1 (elu)
2022-11-23T01:32:37.4156374Z 
2022-11-23T01:32:37.4156491Z 2107          20 LOAD_FAST                0 (x)
2022-11-23T01:32:37.4156578Z               22 LOAD_CONST               4 (1)
2022-11-23T01:32:37.4156637Z               24 BINARY_ADD
2022-11-23T01:32:37.4156723Z               26 LOAD_CONST               3 (2)
2022-11-23T01:32:37.4156808Z               28 LOAD_CONST               5 (3)
2022-11-23T01:32:37.4156893Z               30 LOAD_CONST               6 (4)
2022-11-23T01:32:37.4156981Z               32 CALL_METHOD              4
2022-11-23T01:32:37.4157093Z               34 BUILD_TUPLE              2
2022-11-23T01:32:37.4157319Z               36 RETURN_VALUE
2022-11-23T01:32:37.4157369Z  
2022-11-23T01:32:37.4157374Z 
2022-11-23T01:32:37.4157651Z [2022-11-23 01:20:05,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2106
2022-11-23T01:32:37.4157867Z [2022-11-23 01:20:05,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.4158170Z [2022-11-23 01:20:05,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR elu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.4158423Z [2022-11-23 01:20:05,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.elu)]
2022-11-23T01:32:37.4158721Z [2022-11-23 01:20:05,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.6732632423543772 [TorchVariable(aten.elu), TensorVariable()]
2022-11-23T01:32:37.4159058Z [2022-11-23 01:20:05,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0507009873554805 [TorchVariable(aten.elu), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.4159418Z [2022-11-23 01:20:05,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.elu), TensorVariable(), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:37.4159654Z [2022-11-23 01:20:05,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:37.4159935Z [2022-11-23 01:20:05,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4160172Z [2022-11-23 01:20:05,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.4160504Z [2022-11-23 01:20:05,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR elu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.4160773Z [2022-11-23 01:20:05,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2107
2022-11-23T01:32:37.4161048Z [2022-11-23 01:20:05,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.elu)]
2022-11-23T01:32:37.4161352Z [2022-11-23 01:20:05,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.elu), TensorVariable()]
2022-11-23T01:32:37.4161700Z [2022-11-23 01:20:05,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4162007Z [2022-11-23 01:20:05,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.elu), TensorVariable()]
2022-11-23T01:32:37.4162345Z [2022-11-23 01:20:05,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4162725Z [2022-11-23 01:20:05,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.4163146Z [2022-11-23 01:20:05,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.4163411Z [2022-11-23 01:20:05,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4163705Z [2022-11-23 01:20:05,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4164035Z [2022-11-23 01:20:05,113] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f640f4b0, file "inductor/test_torchinductor.py", line 2105>
2022-11-23T01:32:37.4164316Z [2022-11-23 01:20:05,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4164554Z [2022-11-23 01:20:05,113] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4164808Z [2022-11-23 01:20:05,116] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4165056Z [2022-11-23 01:20:05,132] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4165242Z [2022-11-23 01:20:05,133] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4165429Z  __compiled_fn_167 <eval_with_key>.1061 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4165521Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4165630Z call_function, elu, aten.elu, (ex_0_, 1.6732632423543772, 1.0507009873554805), {}
2022-11-23T01:32:37.4165799Z call_function, add, <built-in function add>, (elu, 2), {}
2022-11-23T01:32:37.4165974Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.4166086Z call_function, elu_1, aten.elu, (add_1, 2, 3, 4), {}
2022-11-23T01:32:37.4166190Z output, output, output, ((add, elu_1),), {}
2022-11-23T01:32:37.4166196Z 
2022-11-23T01:32:37.4166472Z [2022-11-23 01:20:05,133] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4166568Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4166657Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4166735Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4166826Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4166901Z               8 RETURN_VALUE
2022-11-23T01:32:37.4166906Z 
2022-11-23T01:32:37.4166966Z  
2022-11-23T01:32:37.4167243Z [2022-11-23 01:20:05,134] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4167351Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_167)
2022-11-23T01:32:37.4167441Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4167530Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4167594Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4167681Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.4167783Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4167886Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4167975Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4168052Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.4168152Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4168227Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4168303Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.4168390Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.4168463Z              26 RETURN_VALUE
2022-11-23T01:32:37.4168468Z 
2022-11-23T01:32:37.4168531Z  
2022-11-23T01:32:37.4168715Z [2022-11-23 01:20:05,136] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4168784Z  - 
2022-11-23T01:32:37.4168888Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4168951Z             {
2022-11-23T01:32:37.4169090Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4169274Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.4169392Z                 'obj_weakref': None
2022-11-23T01:32:37.4169614Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4169708Z             }
2022-11-23T01:32:37.4169759Z             
2022-11-23T01:32:37.4169826Z  - 
2022-11-23T01:32:37.4169948Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4170011Z             {
2022-11-23T01:32:37.4170152Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4170258Z                 'code': None,
2022-11-23T01:32:37.4170494Z                 'obj_weakref': <weakref at 0x7f70f2dbd770; to 'Tensor' at 0x7f7106b6de90>
2022-11-23T01:32:37.4170731Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4170794Z             }
2022-11-23T01:32:37.4170857Z             
2022-11-23T01:32:37.4170925Z  - 
2022-11-23T01:32:37.4171054Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4171116Z             {
2022-11-23T01:32:37.4171248Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4171407Z                 'code': ['___check_obj_id(model, 140125781961904)'],
2022-11-23T01:32:37.4171525Z                 'obj_weakref': None
2022-11-23T01:32:37.4171751Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4171813Z             }
2022-11-23T01:32:37.4171875Z             
2022-11-23T01:32:37.4171943Z  - 
2022-11-23T01:32:37.4172064Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4172114Z             {
2022-11-23T01:32:37.4172251Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4172466Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4172583Z                 'obj_weakref': None
2022-11-23T01:32:37.4172800Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4172863Z             }
2022-11-23T01:32:37.4172925Z             
2022-11-23T01:32:37.4172980Z  - 
2022-11-23T01:32:37.4173113Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.4173174Z             {
2022-11-23T01:32:37.4173293Z                 'guard_types': None,
2022-11-23T01:32:37.4173398Z                 'code': None,
2022-11-23T01:32:37.4173515Z                 'obj_weakref': None
2022-11-23T01:32:37.4173634Z                 'guarded_class': None
2022-11-23T01:32:37.4173684Z             }
2022-11-23T01:32:37.4173745Z             
2022-11-23T01:32:37.4174006Z [2022-11-23 01:20:05,181] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 166
2022-11-23T01:32:37.4174224Z [2022-11-23 01:20:05,187] torch._inductor.graph: [WARNING] Creating implicit fallback for:
2022-11-23T01:32:37.4174310Z   target: aten.expm1.default
2022-11-23T01:32:37.4174399Z   args[0]: TensorBox(StorageBox(
2022-11-23T01:32:37.4174469Z     Pointwise(
2022-11-23T01:32:37.4174543Z       'cpu',
2022-11-23T01:32:37.4174617Z       torch.float32,
2022-11-23T01:32:37.4174735Z       load(arg0_1, i1 + 16 * i0) * constant(1.0, torch.float32),
2022-11-23T01:32:37.4174809Z       ranges=[16, 16],
2022-11-23T01:32:37.4174886Z       origins={arg0_1, mul_1}
2022-11-23T01:32:37.4174998Z     )
2022-11-23T01:32:37.4175057Z   ))
2022-11-23T01:32:37.4175354Z [2022-11-23 01:20:05,189] torch._inductor.lowering: [WARNING] make_fallback(aten.expm1.default): a decomposition exists, we should switch to it
2022-11-23T01:32:37.4175609Z [2022-11-23 01:20:05,196] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.expm1.default
2022-11-23T01:32:37.4175863Z [2022-11-23 01:20:05,211] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.expm1.default
2022-11-23T01:32:37.4176223Z [2022-11-23 01:20:07,810] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ph/cphkjywj5k723t5githkqy4qigcy34rnogj2yws4og2444ledcjg.py
2022-11-23T01:32:37.4176484Z [2022-11-23 01:20:07,811] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 166
2022-11-23T01:32:37.4176490Z 
2022-11-23T01:32:37.4176615Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4176684Z import torch
2022-11-23T01:32:37.4176752Z import random
2022-11-23T01:32:37.4176855Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4176974Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4176979Z 
2022-11-23T01:32:37.4177055Z aten = torch.ops.aten
2022-11-23T01:32:37.4177186Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4177314Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4177320Z 
2022-11-23T01:32:37.4177324Z 
2022-11-23T01:32:37.4177456Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4177660Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4177777Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.4177865Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.4177961Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.4178023Z {
2022-11-23T01:32:37.4178120Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4178182Z     {
2022-11-23T01:32:37.4178258Z         #pragma omp for 
2022-11-23T01:32:37.4178344Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:37.4178394Z         {
2022-11-23T01:32:37.4178533Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.4178674Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1.0));
2022-11-23T01:32:37.4178760Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:37.4178895Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.4178980Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:32:37.4179110Z             auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(4));
2022-11-23T01:32:37.4179194Z             auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:37.4179273Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.4179365Z             tmp6.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.4179428Z         }
2022-11-23T01:32:37.4179524Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.4179605Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:37.4179666Z         {
2022-11-23T01:32:37.4179749Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.4179836Z             auto tmp1 = static_cast<float>(1.0);
2022-11-23T01:32:37.4179917Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:37.4180017Z             auto tmp3 = static_cast<float>(1);
2022-11-23T01:32:37.4180100Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:32:37.4180196Z             auto tmp5 = static_cast<float>(4);
2022-11-23T01:32:37.4180278Z             auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:37.4180356Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.4180421Z             out_ptr1[i0] = tmp6;
2022-11-23T01:32:37.4180482Z         }
2022-11-23T01:32:37.4180543Z     }
2022-11-23T01:32:37.4180602Z }
2022-11-23T01:32:37.4180678Z ''')
2022-11-23T01:32:37.4180685Z 
2022-11-23T01:32:37.4180689Z 
2022-11-23T01:32:37.4180819Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.4181022Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4181125Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.4181227Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:32:37.4181330Z                        const float* __restrict__ in_ptr0)
2022-11-23T01:32:37.4181392Z {
2022-11-23T01:32:37.4181488Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4181549Z     {
2022-11-23T01:32:37.4181646Z         #pragma omp for 
2022-11-23T01:32:37.4181715Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:32:37.4181775Z         {
2022-11-23T01:32:37.4181838Z             {
2022-11-23T01:32:37.4181902Z                 {
2022-11-23T01:32:37.4181993Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.4182092Z                     auto tmp5 = in_out_ptr0[i0];
2022-11-23T01:32:37.4182218Z                     auto tmp16 = in_out_ptr1[i0];
2022-11-23T01:32:37.4182307Z                     auto tmp1 = static_cast<float>(0);
2022-11-23T01:32:37.4182397Z                     auto tmp2 = tmp0 > tmp1;
2022-11-23T01:32:37.4182511Z                     auto tmp3 = static_cast<float>(1.0507009873554805);
2022-11-23T01:32:37.4182600Z                     auto tmp4 = tmp0 * tmp3;
2022-11-23T01:32:37.4182740Z                     auto tmp6 = static_cast<float>(1.7580993408473766);
2022-11-23T01:32:37.4182829Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T01:32:37.4182926Z                     auto tmp8 = tmp2 ? tmp4 : tmp7;
2022-11-23T01:32:37.4183014Z                     auto tmp9 = static_cast<float>(2);
2022-11-23T01:32:37.4183104Z                     auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:37.4183205Z                     auto tmp11 = static_cast<float>(1);
2022-11-23T01:32:37.4183297Z                     auto tmp12 = tmp0 + tmp11;
2022-11-23T01:32:37.4183390Z                     auto tmp13 = tmp12 > tmp1;
2022-11-23T01:32:37.4183490Z                     auto tmp14 = static_cast<float>(3);
2022-11-23T01:32:37.4183581Z                     auto tmp15 = tmp12 * tmp14;
2022-11-23T01:32:37.4183668Z                     auto tmp17 = static_cast<float>(6);
2022-11-23T01:32:37.4183757Z                     auto tmp18 = tmp16 * tmp17;
2022-11-23T01:32:37.4183852Z                     auto tmp19 = tmp13 ? tmp15 : tmp18;
2022-11-23T01:32:37.4183941Z                     in_out_ptr0[i0] = tmp10;
2022-11-23T01:32:37.4184032Z                     in_out_ptr1[i0] = tmp19;
2022-11-23T01:32:37.4184096Z                 }
2022-11-23T01:32:37.4184159Z             }
2022-11-23T01:32:37.4184208Z         }
2022-11-23T01:32:37.4184271Z     }
2022-11-23T01:32:37.4184331Z }
2022-11-23T01:32:37.4184408Z ''')
2022-11-23T01:32:37.4184413Z 
2022-11-23T01:32:37.4184418Z 
2022-11-23T01:32:37.4184626Z async_compile.wait(globals())
2022-11-23T01:32:37.4184701Z del async_compile
2022-11-23T01:32:37.4184709Z 
2022-11-23T01:32:37.4184783Z def call(args):
2022-11-23T01:32:37.4184854Z     arg0_1, = args
2022-11-23T01:32:37.4184912Z     args.clear()
2022-11-23T01:32:37.4185116Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4185311Z     buf3 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4185478Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:37.4185596Z     buf1 = torch.ops.aten.expm1.default(buf0)
2022-11-23T01:32:37.4185662Z     del buf0
2022-11-23T01:32:37.4185732Z     buf2 = buf1
2022-11-23T01:32:37.4185817Z     assert_size_stride(buf2, (16, 16), (16, 1))
2022-11-23T01:32:37.4185883Z     del buf1
2022-11-23T01:32:37.4185999Z     buf4 = torch.ops.aten.expm1.default(buf3)
2022-11-23T01:32:37.4186064Z     del buf3
2022-11-23T01:32:37.4186135Z     buf5 = buf4
2022-11-23T01:32:37.4186229Z     assert_size_stride(buf5, (16, 16), (16, 1))
2022-11-23T01:32:37.4186297Z     del buf4
2022-11-23T01:32:37.4186368Z     buf6 = buf2; del buf2  # reuse
2022-11-23T01:32:37.4186449Z     buf7 = buf5; del buf5  # reuse
2022-11-23T01:32:37.4186606Z     kernel_cpp_1(c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(arg0_1.data_ptr()))
2022-11-23T01:32:37.4186674Z     del arg0_1
2022-11-23T01:32:37.4186752Z     return (buf6, buf7, )
2022-11-23T01:32:37.4186757Z 
2022-11-23T01:32:37.4186761Z 
2022-11-23T01:32:37.4186836Z if __name__ == "__main__":
2022-11-23T01:32:37.4186950Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4187058Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4187256Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4187361Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.4187366Z 
2022-11-23T01:32:37.4187432Z ok (2.767s)
2022-11-23T01:32:37.4187746Z   test_embedding_bag_cpu (__main__.CpuTests) ... [2022-11-23 01:20:07,826] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4188054Z [2022-11-23 01:20:07,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4188271Z [2022-11-23 01:20:07,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4188526Z [2022-11-23 01:20:07,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4188850Z [2022-11-23 01:20:07,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4189161Z [2022-11-23 01:20:07,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4189488Z [2022-11-23 01:20:07,827] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64154b0, file "inductor/test_torchinductor.py", line 2303> 
2022-11-23T01:32:37.4189586Z  2304           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.4189693Z                2 LOAD_METHOD              1 (_embedding_bag)
2022-11-23T01:32:37.4189783Z                4 LOAD_FAST                0 (w)
2022-11-23T01:32:37.4189871Z                6 LOAD_FAST                1 (i)
2022-11-23T01:32:37.4189957Z                8 LOAD_FAST                2 (o)
2022-11-23T01:32:37.4190048Z               10 LOAD_CONST               1 (False)
2022-11-23T01:32:37.4190125Z               12 LOAD_CONST               2 (0)
2022-11-23T01:32:37.4190217Z               14 LOAD_CONST               1 (False)
2022-11-23T01:32:37.4190307Z               16 LOAD_CONST               0 (None)
2022-11-23T01:32:37.4190395Z               18 CALL_METHOD              7
2022-11-23T01:32:37.4190471Z               20 RETURN_VALUE
2022-11-23T01:32:37.4190533Z  
2022-11-23T01:32:37.4190537Z 
2022-11-23T01:32:37.4190804Z [2022-11-23 01:20:07,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2304
2022-11-23T01:32:37.4191019Z [2022-11-23 01:20:07,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.4191326Z [2022-11-23 01:20:07,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _embedding_bag [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.4191589Z [2022-11-23 01:20:07,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [TorchVariable(aten._embedding_bag)]
2022-11-23T01:32:37.4191883Z [2022-11-23 01:20:07,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [TorchVariable(aten._embedding_bag), TensorVariable()]
2022-11-23T01:32:37.4192204Z [2022-11-23 01:20:07,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST o [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4192555Z [2022-11-23 01:20:07,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4192943Z [2022-11-23 01:20:07,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.4193379Z [2022-11-23 01:20:07,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(int)]
2022-11-23T01:32:37.4193852Z [2022-11-23 01:20:07,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:37.4194367Z [2022-11-23 01:20:07,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 7 [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:32:37.4194645Z [2022-11-23 01:20:07,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4194972Z [2022-11-23 01:20:07,845] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64154b0, file "inductor/test_torchinductor.py", line 2303>
2022-11-23T01:32:37.4195247Z [2022-11-23 01:20:07,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4195473Z [2022-11-23 01:20:07,845] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4195724Z [2022-11-23 01:20:07,848] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4195969Z [2022-11-23 01:20:07,856] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4196158Z [2022-11-23 01:20:07,857] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4196293Z  __compiled_fn_168 <eval_with_key>.1067 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4196382Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4196467Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.4196551Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.4196700Z call_function, _embedding_bag, aten._embedding_bag, (ex_0_, ex_1_, ex_2_, False, 0, False, None), {}
2022-11-23T01:32:37.4196904Z call_function, getitem, <built-in function getitem>, (_embedding_bag, 0), {}
2022-11-23T01:32:37.4197213Z call_function, getitem_1, <built-in function getitem>, (_embedding_bag, 1), {}
2022-11-23T01:32:37.4197441Z call_function, getitem_2, <built-in function getitem>, (_embedding_bag, 2), {}
2022-11-23T01:32:37.4197643Z call_function, getitem_3, <built-in function getitem>, (_embedding_bag, 3), {}
2022-11-23T01:32:37.4197778Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {}
2022-11-23T01:32:37.4197784Z 
2022-11-23T01:32:37.4198065Z [2022-11-23 01:20:07,858] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4198160Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4198251Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4198332Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4198422Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4198502Z               8 RETURN_VALUE
2022-11-23T01:32:37.4198507Z 
2022-11-23T01:32:37.4198568Z  
2022-11-23T01:32:37.4198844Z [2022-11-23 01:20:07,858] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4198951Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_168)
2022-11-23T01:32:37.4199042Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4199118Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4199196Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4199291Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4199381Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4199457Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.4199544Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4199630Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.4199691Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.4199778Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.4199882Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4199983Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4200071Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4200145Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.4200243Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4200328Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4200390Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.4200550Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4200635Z              38 LOAD_CONST               3 (2)
2022-11-23T01:32:37.4200711Z              40 BINARY_SUBSCR
2022-11-23T01:32:37.4200811Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4200899Z              44 LOAD_CONST               4 (3)
2022-11-23T01:32:37.4200973Z              46 BINARY_SUBSCR
2022-11-23T01:32:37.4201082Z              48 BUILD_TUPLE              4
2022-11-23T01:32:37.4201158Z              50 RETURN_VALUE
2022-11-23T01:32:37.4201163Z 
2022-11-23T01:32:37.4201224Z  
2022-11-23T01:32:37.4201408Z [2022-11-23 01:20:07,860] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4201479Z  - 
2022-11-23T01:32:37.4201598Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4201663Z             {
2022-11-23T01:32:37.4201790Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4201977Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 3'],
2022-11-23T01:32:37.4202097Z                 'obj_weakref': None
2022-11-23T01:32:37.4202320Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4202385Z             }
2022-11-23T01:32:37.4202447Z             
2022-11-23T01:32:37.4202515Z  - 
2022-11-23T01:32:37.4202626Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4202688Z             {
2022-11-23T01:32:37.4202831Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4202936Z                 'code': None,
2022-11-23T01:32:37.4203141Z                 'obj_weakref': <weakref at 0x7f70f2963230; to 'Tensor' at 0x7f71241731d0>
2022-11-23T01:32:37.4203390Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4203453Z             }
2022-11-23T01:32:37.4203504Z             
2022-11-23T01:32:37.4203574Z  - 
2022-11-23T01:32:37.4203696Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.4203759Z             {
2022-11-23T01:32:37.4203900Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4204004Z                 'code': None,
2022-11-23T01:32:37.4204209Z                 'obj_weakref': <weakref at 0x7f70f29632f0; to 'Tensor' at 0x7f71066eb590>
2022-11-23T01:32:37.4204438Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4204502Z             }
2022-11-23T01:32:37.4204564Z             
2022-11-23T01:32:37.4204631Z  - 
2022-11-23T01:32:37.4204751Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.4204813Z             {
2022-11-23T01:32:37.4204954Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4205047Z                 'code': None,
2022-11-23T01:32:37.4205247Z                 'obj_weakref': <weakref at 0x7f70f2963050; to 'Tensor' at 0x7f71066ebb30>
2022-11-23T01:32:37.4205490Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4205556Z             }
2022-11-23T01:32:37.4205618Z             
2022-11-23T01:32:37.4205686Z  - 
2022-11-23T01:32:37.4205814Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4205863Z             {
2022-11-23T01:32:37.4205994Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4206162Z                 'code': ['___check_obj_id(model, 140123422018304)'],
2022-11-23T01:32:37.4206286Z                 'obj_weakref': None
2022-11-23T01:32:37.4206510Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4206577Z             }
2022-11-23T01:32:37.4206638Z             
2022-11-23T01:32:37.4206693Z  - 
2022-11-23T01:32:37.4206813Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4206875Z             {
2022-11-23T01:32:37.4207010Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4207262Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4207381Z                 'obj_weakref': None
2022-11-23T01:32:37.4207598Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4207648Z             }
2022-11-23T01:32:37.4207710Z             
2022-11-23T01:32:37.4207777Z  - 
2022-11-23T01:32:37.4207905Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.4207995Z             {
2022-11-23T01:32:37.4208116Z                 'guard_types': None,
2022-11-23T01:32:37.4208220Z                 'code': None,
2022-11-23T01:32:37.4208323Z                 'obj_weakref': None
2022-11-23T01:32:37.4208442Z                 'guarded_class': None
2022-11-23T01:32:37.4208504Z             }
2022-11-23T01:32:37.4208566Z             
2022-11-23T01:32:37.4208824Z [2022-11-23 01:20:07,872] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 167
2022-11-23T01:32:37.4209054Z [2022-11-23 01:20:07,879] torch._inductor.ir: [WARNING] Using FallbackKernel: aten._embedding_bag
2022-11-23T01:32:37.4209420Z [2022-11-23 01:20:07,883] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i5/ci5acztwicuxzag22xkote3ktqanke7teylb5er5jz3r5t5ybjuf.py
2022-11-23T01:32:37.4209668Z [2022-11-23 01:20:07,883] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 167
2022-11-23T01:32:37.4209685Z 
2022-11-23T01:32:37.4209767Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4209836Z import torch
2022-11-23T01:32:37.4209903Z import random
2022-11-23T01:32:37.4210018Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4210139Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4210143Z 
2022-11-23T01:32:37.4210221Z aten = torch.ops.aten
2022-11-23T01:32:37.4210356Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4210434Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4210441Z 
2022-11-23T01:32:37.4210458Z 
2022-11-23T01:32:37.4210532Z async_compile.wait(globals())
2022-11-23T01:32:37.4210605Z del async_compile
2022-11-23T01:32:37.4210609Z 
2022-11-23T01:32:37.4210679Z def call(args):
2022-11-23T01:32:37.4210759Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.4210830Z     args.clear()
2022-11-23T01:32:37.4210937Z     buf0 = aten._embedding_bag(arg0_1, arg1_1, arg2_1)
2022-11-23T01:32:37.4211004Z     del arg0_1
2022-11-23T01:32:37.4211059Z     del arg1_1
2022-11-23T01:32:37.4211124Z     del arg2_1
2022-11-23T01:32:37.4211191Z     buf1 = buf0[0]
2022-11-23T01:32:37.4211287Z     assert_size_stride(buf1, (3, 4), (4, 1))
2022-11-23T01:32:37.4211355Z     buf2 = buf0[1]
2022-11-23T01:32:37.4211447Z     assert_size_stride(buf2, (0, ), (1, ))
2022-11-23T01:32:37.4211501Z     buf3 = buf0[2]
2022-11-23T01:32:37.4211593Z     assert_size_stride(buf3, (3, ), (1, ))
2022-11-23T01:32:37.4211659Z     buf4 = buf0[3]
2022-11-23T01:32:37.4211748Z     assert_size_stride(buf4, (3, ), (1, ))
2022-11-23T01:32:37.4211815Z     del buf0
2022-11-23T01:32:37.4211902Z     return (buf1, buf2, buf3, buf4, )
2022-11-23T01:32:37.4211907Z 
2022-11-23T01:32:37.4211911Z 
2022-11-23T01:32:37.4211985Z if __name__ == "__main__":
2022-11-23T01:32:37.4212095Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4212204Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4212406Z     arg0_1 = rand_strided((10, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4212594Z     arg1_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.4212778Z     arg2_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.4212899Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.4212904Z 
2022-11-23T01:32:37.4212970Z ok (0.070s)
2022-11-23T01:32:37.4213279Z   test_embedding_cpu (__main__.CpuTests) ... [2022-11-23 01:20:07,891] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4213578Z [2022-11-23 01:20:07,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4213781Z [2022-11-23 01:20:07,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4214022Z [2022-11-23 01:20:07,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.4214325Z [2022-11-23 01:20:07,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.4214638Z [2022-11-23 01:20:07,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4214970Z [2022-11-23 01:20:07,900] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f64bb810, file "inductor/test_torchinductor.py", line 169> 
2022-11-23T01:32:37.4215062Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:32:37.4215152Z               2 BUILD_TUPLE              1
2022-11-23T01:32:37.4215227Z               4 RETURN_VALUE
2022-11-23T01:32:37.4215288Z  
2022-11-23T01:32:37.4215293Z 
2022-11-23T01:32:37.4215546Z [2022-11-23 01:20:07,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:170
2022-11-23T01:32:37.4215753Z [2022-11-23 01:20:07,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.4215996Z [2022-11-23 01:20:07,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:37.4216241Z [2022-11-23 01:20:07,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4216581Z [2022-11-23 01:20:07,901] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f64bb810, file "inductor/test_torchinductor.py", line 169>
2022-11-23T01:32:37.4216822Z [2022-11-23 01:20:07,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4217057Z [2022-11-23 01:20:07,901] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4217308Z [2022-11-23 01:20:07,903] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4217554Z [2022-11-23 01:20:07,913] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4217730Z [2022-11-23 01:20:07,914] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4217862Z  __compiled_fn_169 <eval_with_key>.1073 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4217950Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4218048Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.4218149Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.4218246Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.4218252Z 
2022-11-23T01:32:37.4218526Z [2022-11-23 01:20:07,914] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4218620Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4218699Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4218789Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4218878Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4218952Z               8 RETURN_VALUE
2022-11-23T01:32:37.4218960Z 
2022-11-23T01:32:37.4219021Z  
2022-11-23T01:32:37.4219293Z [2022-11-23 01:20:07,914] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4219400Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_169)
2022-11-23T01:32:37.4219488Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4219565Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4219640Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4219762Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.4219865Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4219965Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4220053Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4220127Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.4220202Z              18 BUILD_TUPLE              1
2022-11-23T01:32:37.4220277Z              20 RETURN_VALUE
2022-11-23T01:32:37.4220315Z 
2022-11-23T01:32:37.4220376Z  
2022-11-23T01:32:37.4220558Z [2022-11-23 01:20:07,916] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4220628Z  - 
2022-11-23T01:32:37.4220745Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4220808Z             {
2022-11-23T01:32:37.4220934Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4221116Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.4221234Z                 'obj_weakref': None
2022-11-23T01:32:37.4221459Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4221523Z             }
2022-11-23T01:32:37.4221586Z             
2022-11-23T01:32:37.4221654Z  - 
2022-11-23T01:32:37.4221764Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4221825Z             {
2022-11-23T01:32:37.4221967Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4222075Z                 'code': None,
2022-11-23T01:32:37.4222281Z                 'obj_weakref': <weakref at 0x7f71063914d0; to 'Tensor' at 0x7f70f29635f0>
2022-11-23T01:32:37.4222529Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4222592Z             }
2022-11-23T01:32:37.4222642Z             
2022-11-23T01:32:37.4222709Z  - 
2022-11-23T01:32:37.4222827Z             local 'model' NN_MODULE
2022-11-23T01:32:37.4222890Z             {
2022-11-23T01:32:37.4223024Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4223194Z                 'code': ['___check_obj_id(model, 140123418089936)'],
2022-11-23T01:32:37.4223407Z                 'obj_weakref': <weakref at 0x7f7106da8290; to 'Sequential' at 0x7f71068f59d0>
2022-11-23T01:32:37.4223625Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.4223686Z             }
2022-11-23T01:32:37.4223749Z             
2022-11-23T01:32:37.4223820Z  - 
2022-11-23T01:32:37.4223940Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4224002Z             {
2022-11-23T01:32:37.4224135Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4224337Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4224533Z                 'obj_weakref': None
2022-11-23T01:32:37.4224758Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4224825Z             }
2022-11-23T01:32:37.4224889Z             
2022-11-23T01:32:37.4224958Z  - 
2022-11-23T01:32:37.4225102Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.4225152Z             {
2022-11-23T01:32:37.4225272Z                 'guard_types': None,
2022-11-23T01:32:37.4225378Z                 'code': None,
2022-11-23T01:32:37.4225496Z                 'obj_weakref': None
2022-11-23T01:32:37.4225619Z                 'guarded_class': None
2022-11-23T01:32:37.4225684Z             }
2022-11-23T01:32:37.4225748Z             
2022-11-23T01:32:37.4225802Z  - 
2022-11-23T01:32:37.4225945Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.4226009Z             {
2022-11-23T01:32:37.4226127Z                 'guard_types': None,
2022-11-23T01:32:37.4226232Z                 'code': None,
2022-11-23T01:32:37.4226349Z                 'obj_weakref': None
2022-11-23T01:32:37.4226456Z                 'guarded_class': None
2022-11-23T01:32:37.4226556Z             }
2022-11-23T01:32:37.4226618Z             
2022-11-23T01:32:37.4226684Z  - 
2022-11-23T01:32:37.4226825Z             local_nn_module 'model[2]' NN_MODULE
2022-11-23T01:32:37.4226887Z             {
2022-11-23T01:32:37.4227003Z                 'guard_types': None,
2022-11-23T01:32:37.4227094Z                 'code': None,
2022-11-23T01:32:37.4227210Z                 'obj_weakref': None
2022-11-23T01:32:37.4227329Z                 'guarded_class': None
2022-11-23T01:32:37.4227417Z             }
2022-11-23T01:32:37.4227480Z             
2022-11-23T01:32:37.4227741Z [2022-11-23 01:20:07,982] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 168
2022-11-23T01:32:37.4228114Z [2022-11-23 01:20:10,564] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yp/cypdojjpq3tpkalb6d23trbugyrssbaawyn6vrpqmwmh4tq7yf4e.py
2022-11-23T01:32:37.4228376Z [2022-11-23 01:20:10,564] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 168
2022-11-23T01:32:37.4228384Z 
2022-11-23T01:32:37.4228464Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4228534Z import torch
2022-11-23T01:32:37.4228605Z import random
2022-11-23T01:32:37.4228720Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4228841Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4228847Z 
2022-11-23T01:32:37.4228925Z aten = torch.ops.aten
2022-11-23T01:32:37.4229060Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4229139Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4229155Z 
2022-11-23T01:32:37.4229160Z 
2022-11-23T01:32:37.4229279Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4229485Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4229601Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:37.4229705Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.4229806Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.4229903Z                        bool* __restrict__ out_ptr1,
2022-11-23T01:32:37.4229995Z                        long* __restrict__ out_ptr2)
2022-11-23T01:32:37.4230042Z {
2022-11-23T01:32:37.4230137Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4230198Z     {
2022-11-23T01:32:37.4230273Z         #pragma omp for 
2022-11-23T01:32:37.4230355Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:37.4230419Z         {
2022-11-23T01:32:37.4230497Z             #pragma GCC ivdep
2022-11-23T01:32:37.4230567Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:37.4230630Z             {
2022-11-23T01:32:37.4230694Z                 {
2022-11-23T01:32:37.4230759Z                     {
2022-11-23T01:32:37.4230854Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.4230956Z                         auto tmp1 = in_ptr1[i1 + (4*tmp0)];
2022-11-23T01:32:37.4231051Z                         auto tmp2 = tmp1 * (tmp1>0);
2022-11-23T01:32:37.4231135Z                         out_ptr0[i1 + (4*i0)] = tmp2;
2022-11-23T01:32:37.4231200Z                     }
2022-11-23T01:32:37.4231263Z                 }
2022-11-23T01:32:37.4231327Z             }
2022-11-23T01:32:37.4231390Z         }
2022-11-23T01:32:37.4231466Z         #pragma omp for 
2022-11-23T01:32:37.4231534Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:37.4231595Z         {
2022-11-23T01:32:37.4231657Z             {
2022-11-23T01:32:37.4231722Z                 {
2022-11-23T01:32:37.4231813Z                     auto tmp0 = out_ptr0[i0];
2022-11-23T01:32:37.4231915Z                     auto tmp1 = static_cast<float>(0);
2022-11-23T01:32:37.4232007Z                     auto tmp2 = tmp0 <= tmp1;
2022-11-23T01:32:37.4232078Z                     out_ptr1[i0] = tmp2;
2022-11-23T01:32:37.4232141Z                 }
2022-11-23T01:32:37.4232202Z             }
2022-11-23T01:32:37.4232264Z         }
2022-11-23T01:32:37.4232338Z         #pragma omp for 
2022-11-23T01:32:37.4232446Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:37.4232507Z         {
2022-11-23T01:32:37.4232556Z             {
2022-11-23T01:32:37.4232618Z                 {
2022-11-23T01:32:37.4232708Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.4232814Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.4232916Z                     auto tmp2 = static_cast<long>(tmp1);
2022-11-23T01:32:37.4232999Z                     out_ptr2[i0] = tmp2;
2022-11-23T01:32:37.4233110Z                 }
2022-11-23T01:32:37.4233160Z             }
2022-11-23T01:32:37.4233219Z         }
2022-11-23T01:32:37.4233280Z     }
2022-11-23T01:32:37.4233339Z }
2022-11-23T01:32:37.4233417Z ''')
2022-11-23T01:32:37.4233422Z 
2022-11-23T01:32:37.4233426Z 
2022-11-23T01:32:37.4233516Z async_compile.wait(globals())
2022-11-23T01:32:37.4233587Z del async_compile
2022-11-23T01:32:37.4233592Z 
2022-11-23T01:32:37.4233648Z def call(args):
2022-11-23T01:32:37.4233734Z     primals_1, primals_2 = args
2022-11-23T01:32:37.4233808Z     args.clear()
2022-11-23T01:32:37.4234011Z     buf0 = empty_strided((2, 8, 4), (32, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4234204Z     buf1 = empty_strided((2, 8, 4), (32, 4, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.4234392Z     buf2 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.4234613Z     kernel_cpp_0(c_void_p(primals_2.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:37.4234688Z     del primals_1
2022-11-23T01:32:37.4234745Z     del primals_2
2022-11-23T01:32:37.4234830Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:37.4234834Z 
2022-11-23T01:32:37.4234838Z 
2022-11-23T01:32:37.4234914Z if __name__ == "__main__":
2022-11-23T01:32:37.4235030Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4235152Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4235359Z     primals_1 = rand_strided((10, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4235555Z     primals_2 = rand_strided((2, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.4235668Z     print_performance(lambda: call([primals_1, primals_2]))
2022-11-23T01:32:37.4235685Z 
2022-11-23T01:32:37.4235738Z ok (2.682s)
2022-11-23T01:32:37.4236037Z   test_exp_cpu (__main__.CpuTests) ... [2022-11-23 01:20:10,576] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4236304Z [2022-11-23 01:20:10,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4236520Z [2022-11-23 01:20:10,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4236772Z [2022-11-23 01:20:10,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4237053Z [2022-11-23 01:20:10,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4237513Z [2022-11-23 01:20:10,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4237846Z [2022-11-23 01:20:10,576] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6477030, file "inductor/test_torchinductor.py", line 1000> 
2022-11-23T01:32:37.4237946Z  1001           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.4238029Z                2 LOAD_METHOD              1 (exp)
2022-11-23T01:32:37.4238122Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4238212Z                6 CALL_METHOD              1
2022-11-23T01:32:37.4238306Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.4238399Z               10 LOAD_METHOD              1 (exp)
2022-11-23T01:32:37.4238489Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4238578Z               14 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4238697Z               16 BINARY_ADD
2022-11-23T01:32:37.4238785Z               18 CALL_METHOD              1
2022-11-23T01:32:37.4238878Z               20 BUILD_TUPLE              2
2022-11-23T01:32:37.4238954Z               22 RETURN_VALUE
2022-11-23T01:32:37.4239016Z  
2022-11-23T01:32:37.4239021Z 
2022-11-23T01:32:37.4239363Z [2022-11-23 01:20:10,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1001
2022-11-23T01:32:37.4239587Z [2022-11-23 01:20:10,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.4239947Z [2022-11-23 01:20:10,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR exp [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.4240246Z [2022-11-23 01:20:10,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method exp of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.4240602Z [2022-11-23 01:20:10,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method exp of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.4240849Z [2022-11-23 01:20:10,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.4241247Z [2022-11-23 01:20:10,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR exp [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.4241593Z [2022-11-23 01:20:10,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method exp of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.4241967Z [2022-11-23 01:20:10,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method exp of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.4242378Z [2022-11-23 01:20:10,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method exp of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4242760Z [2022-11-23 01:20:10,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method exp of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.4243030Z [2022-11-23 01:20:10,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4243276Z [2022-11-23 01:20:10,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4243602Z [2022-11-23 01:20:10,585] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6477030, file "inductor/test_torchinductor.py", line 1000>
2022-11-23T01:32:37.4243846Z [2022-11-23 01:20:10,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4244070Z [2022-11-23 01:20:10,585] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4244322Z [2022-11-23 01:20:10,587] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4244570Z [2022-11-23 01:20:10,596] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4244757Z [2022-11-23 01:20:10,596] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4244889Z  __compiled_fn_170 <eval_with_key>.1084 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4244979Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4245063Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.4245286Z call_function, exp, <built-in method exp of type object at 0x7f71f2abebc0>, (ex_0_,), {}
2022-11-23T01:32:37.4245450Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.4245696Z call_function, exp_1, <built-in method exp of type object at 0x7f71f2abebc0>, (add,), {}
2022-11-23T01:32:37.4245802Z output, output, output, ((exp, exp_1),), {}
2022-11-23T01:32:37.4245808Z 
2022-11-23T01:32:37.4246083Z [2022-11-23 01:20:10,597] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4246177Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4246294Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4246387Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4246478Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4246540Z               8 RETURN_VALUE
2022-11-23T01:32:37.4246545Z 
2022-11-23T01:32:37.4246606Z  
2022-11-23T01:32:37.4246878Z [2022-11-23 01:20:10,597] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4246987Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_170)
2022-11-23T01:32:37.4247079Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4247168Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4247244Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4247331Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4247405Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4247479Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.4247566Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.4247671Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4247772Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4247859Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4247933Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.4248020Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4248106Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4248181Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.4248270Z              30 BUILD_TUPLE              2
2022-11-23T01:32:37.4248344Z              32 RETURN_VALUE
2022-11-23T01:32:37.4248349Z 
2022-11-23T01:32:37.4248409Z  
2022-11-23T01:32:37.4248589Z [2022-11-23 01:20:10,599] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4248645Z  - 
2022-11-23T01:32:37.4248763Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4248826Z             {
2022-11-23T01:32:37.4248969Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4249152Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.4249270Z                 'obj_weakref': None
2022-11-23T01:32:37.4249492Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4249544Z             }
2022-11-23T01:32:37.4249606Z             
2022-11-23T01:32:37.4249674Z  - 
2022-11-23T01:32:37.4249797Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4249863Z             {
2022-11-23T01:32:37.4250004Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4250109Z                 'code': None,
2022-11-23T01:32:37.4250305Z                 'obj_weakref': <weakref at 0x7f71c134f6b0; to 'Tensor' at 0x7f7106da8bf0>
2022-11-23T01:32:37.4250554Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4250618Z             }
2022-11-23T01:32:37.4250683Z             
2022-11-23T01:32:37.4250752Z  - 
2022-11-23T01:32:37.4250873Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.4250935Z             {
2022-11-23T01:32:37.4251062Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4251166Z                 'code': None,
2022-11-23T01:32:37.4251371Z                 'obj_weakref': <weakref at 0x7f7106d079b0; to 'Tensor' at 0x7f71c134fe30>
2022-11-23T01:32:37.4251613Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4251705Z             }
2022-11-23T01:32:37.4251767Z             
2022-11-23T01:32:37.4251835Z  - 
2022-11-23T01:32:37.4251952Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4252014Z             {
2022-11-23T01:32:37.4252147Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4252316Z                 'code': ['___check_obj_id(model, 140123423710096)'],
2022-11-23T01:32:37.4252432Z                 'obj_weakref': None
2022-11-23T01:32:37.4252686Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4252752Z             }
2022-11-23T01:32:37.4252801Z             
2022-11-23T01:32:37.4252870Z  - 
2022-11-23T01:32:37.4252990Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4253052Z             {
2022-11-23T01:32:37.4253186Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4253403Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4253521Z                 'obj_weakref': None
2022-11-23T01:32:37.4253727Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4253790Z             }
2022-11-23T01:32:37.4253852Z             
2022-11-23T01:32:37.4253919Z  - 
2022-11-23T01:32:37.4254049Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.4254111Z             {
2022-11-23T01:32:37.4254230Z                 'guard_types': None,
2022-11-23T01:32:37.4254323Z                 'code': None,
2022-11-23T01:32:37.4254445Z                 'obj_weakref': None
2022-11-23T01:32:37.4254563Z                 'guarded_class': None
2022-11-23T01:32:37.4254625Z             }
2022-11-23T01:32:37.4254687Z             
2022-11-23T01:32:37.4254946Z [2022-11-23 01:20:10,610] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 169
2022-11-23T01:32:37.4255310Z [2022-11-23 01:20:13,156] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n4/cn44fqtdiphz2pyf4fue6epi7qwg7jrscevs4f2r572qb5ws5h5h.py
2022-11-23T01:32:37.4255562Z [2022-11-23 01:20:13,157] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 169
2022-11-23T01:32:37.4255579Z 
2022-11-23T01:32:37.4255660Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4255729Z import torch
2022-11-23T01:32:37.4255796Z import random
2022-11-23T01:32:37.4255913Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4256034Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4256039Z 
2022-11-23T01:32:37.4256118Z aten = torch.ops.aten
2022-11-23T01:32:37.4256249Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4256328Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4256332Z 
2022-11-23T01:32:37.4256349Z 
2022-11-23T01:32:37.4256469Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4256672Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4256791Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.4256895Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.4256992Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.4257087Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.4257147Z {
2022-11-23T01:32:37.4257232Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4257296Z     {
2022-11-23T01:32:37.4257374Z         #pragma omp for 
2022-11-23T01:32:37.4257455Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.4257517Z         {
2022-11-23T01:32:37.4257662Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.4257792Z             auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:37.4257863Z             auto tmp1 = tmp0.exp();
2022-11-23T01:32:37.4257947Z             auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:37.4258060Z             auto tmp4 = tmp3.exp();
2022-11-23T01:32:37.4258150Z             tmp1.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.4258241Z             tmp4.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.4258302Z         }
2022-11-23T01:32:37.4258397Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.4258466Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:37.4258528Z         {
2022-11-23T01:32:37.4258611Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.4258718Z             auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:37.4258808Z             auto tmp1 = std::exp(tmp0);
2022-11-23T01:32:37.4258889Z             auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:37.4258976Z             auto tmp4 = std::exp(tmp3);
2022-11-23T01:32:37.4259042Z             out_ptr0[i0] = tmp1;
2022-11-23T01:32:37.4259119Z             out_ptr1[i0] = tmp4;
2022-11-23T01:32:37.4259182Z         }
2022-11-23T01:32:37.4259242Z     }
2022-11-23T01:32:37.4259301Z }
2022-11-23T01:32:37.4259381Z ''')
2022-11-23T01:32:37.4259386Z 
2022-11-23T01:32:37.4259390Z 
2022-11-23T01:32:37.4259478Z async_compile.wait(globals())
2022-11-23T01:32:37.4259537Z del async_compile
2022-11-23T01:32:37.4259542Z 
2022-11-23T01:32:37.4259609Z def call(args):
2022-11-23T01:32:37.4259683Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.4259752Z     args.clear()
2022-11-23T01:32:37.4259944Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4260136Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4260324Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.4260392Z     del arg0_1
2022-11-23T01:32:37.4260445Z     del arg1_1
2022-11-23T01:32:37.4260521Z     return (buf0, buf1, )
2022-11-23T01:32:37.4260525Z 
2022-11-23T01:32:37.4260529Z 
2022-11-23T01:32:37.4260604Z if __name__ == "__main__":
2022-11-23T01:32:37.4260716Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4260839Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4261032Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4261224Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4261324Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.4261341Z 
2022-11-23T01:32:37.4261394Z ok (2.593s)
2022-11-23T01:32:37.4261705Z   test_expand_as_cpu (__main__.CpuTests) ... [2022-11-23 01:20:13,207] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4261974Z [2022-11-23 01:20:13,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4262189Z [2022-11-23 01:20:13,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4262441Z [2022-11-23 01:20:13,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4262727Z [2022-11-23 01:20:13,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4263053Z [2022-11-23 01:20:13,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4263378Z [2022-11-23 01:20:13,208] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64370c0, file "inductor/test_torchinductor.py", line 3436> 
2022-11-23T01:32:37.4263473Z  3437           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.4263559Z                2 LOAD_METHOD              1 (expand_as)
2022-11-23T01:32:37.4263649Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4263737Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4263825Z                8 CALL_METHOD              2
2022-11-23T01:32:37.4263917Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.4264043Z               12 LOAD_METHOD              1 (expand_as)
2022-11-23T01:32:37.4264133Z               14 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4264209Z               16 LOAD_CONST               1 (1)
2022-11-23T01:32:37.4264282Z               18 BINARY_ADD
2022-11-23T01:32:37.4264368Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4264546Z               22 LOAD_CONST               1 (1)
2022-11-23T01:32:37.4264656Z               24 BINARY_ADD
2022-11-23T01:32:37.4264746Z               26 CALL_METHOD              2
2022-11-23T01:32:37.4264834Z               28 LOAD_CONST               1 (1)
2022-11-23T01:32:37.4264893Z               30 BINARY_ADD
2022-11-23T01:32:37.4264983Z               32 BUILD_TUPLE              2
2022-11-23T01:32:37.4265059Z               34 RETURN_VALUE
2022-11-23T01:32:37.4265121Z  
2022-11-23T01:32:37.4265126Z 
2022-11-23T01:32:37.4265400Z [2022-11-23 01:20:13,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3437
2022-11-23T01:32:37.4265619Z [2022-11-23 01:20:13,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.4265934Z [2022-11-23 01:20:13,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand_as [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.4266191Z [2022-11-23 01:20:13,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.expand_as)]
2022-11-23T01:32:37.4266463Z [2022-11-23 01:20:13,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.expand_as), TensorVariable()]
2022-11-23T01:32:37.4266787Z [2022-11-23 01:20:13,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.expand_as), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4267032Z [2022-11-23 01:20:13,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.4267372Z [2022-11-23 01:20:13,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand_as [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.4267658Z [2022-11-23 01:20:13,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.expand_as)]
2022-11-23T01:32:37.4267970Z [2022-11-23 01:20:13,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable()]
2022-11-23T01:32:37.4268328Z [2022-11-23 01:20:13,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4268637Z [2022-11-23 01:20:13,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable()]
2022-11-23T01:32:37.4268983Z [2022-11-23 01:20:13,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4269371Z [2022-11-23 01:20:13,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4269714Z [2022-11-23 01:20:13,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4269979Z [2022-11-23 01:20:13,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4270272Z [2022-11-23 01:20:13,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4270535Z [2022-11-23 01:20:13,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4270777Z [2022-11-23 01:20:13,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4271138Z [2022-11-23 01:20:13,243] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64370c0, file "inductor/test_torchinductor.py", line 3436>
2022-11-23T01:32:37.4271384Z [2022-11-23 01:20:13,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4271647Z [2022-11-23 01:20:13,244] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4271901Z [2022-11-23 01:20:13,246] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4272148Z [2022-11-23 01:20:13,255] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4272334Z [2022-11-23 01:20:13,256] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4272456Z  __compiled_fn_171 <eval_with_key>.1090 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4272546Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4272631Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.4272754Z call_function, expand_as, aten.expand_as, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.4272925Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.4273098Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:37.4273219Z call_function, expand_as_1, aten.expand_as, (add, add_1), {}
2022-11-23T01:32:37.4273404Z call_function, add_2, <built-in function add>, (expand_as_1, 1), {}
2022-11-23T01:32:37.4273501Z output, output, output, ((expand_as, add_2),), {}
2022-11-23T01:32:37.4273506Z 
2022-11-23T01:32:37.4273783Z [2022-11-23 01:20:13,256] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4273875Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4273964Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4274058Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4274152Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4274227Z               8 RETURN_VALUE
2022-11-23T01:32:37.4274232Z 
2022-11-23T01:32:37.4274292Z  
2022-11-23T01:32:37.4274555Z [2022-11-23 01:20:13,257] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4274663Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_171)
2022-11-23T01:32:37.4274753Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4274841Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4274916Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4275003Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4275089Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4275151Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.4275239Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.4275343Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4275443Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4275531Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4275609Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.4275708Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4275783Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4275859Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.4275946Z              30 BUILD_TUPLE              2
2022-11-23T01:32:37.4276019Z              32 RETURN_VALUE
2022-11-23T01:32:37.4276025Z 
2022-11-23T01:32:37.4276083Z  
2022-11-23T01:32:37.4276263Z [2022-11-23 01:20:13,258] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4276331Z  - 
2022-11-23T01:32:37.4276437Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4276499Z             {
2022-11-23T01:32:37.4276640Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4276864Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.4276981Z                 'obj_weakref': None
2022-11-23T01:32:37.4277386Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4277455Z             }
2022-11-23T01:32:37.4277519Z             
2022-11-23T01:32:37.4277578Z  - 
2022-11-23T01:32:37.4277702Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4277841Z             {
2022-11-23T01:32:37.4277988Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4278096Z                 'code': None,
2022-11-23T01:32:37.4278306Z                 'obj_weakref': <weakref at 0x7f7106de05f0; to 'Tensor' at 0x7f71063ca770>
2022-11-23T01:32:37.4278560Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4278610Z             }
2022-11-23T01:32:37.4278676Z             
2022-11-23T01:32:37.4278749Z  - 
2022-11-23T01:32:37.4278872Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.4278937Z             {
2022-11-23T01:32:37.4279078Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4279170Z                 'code': None,
2022-11-23T01:32:37.4279375Z                 'obj_weakref': <weakref at 0x7f7106d27b30; to 'Tensor' at 0x7f710691b5f0>
2022-11-23T01:32:37.4279622Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4279687Z             }
2022-11-23T01:32:37.4279752Z             
2022-11-23T01:32:37.4279821Z  - 
2022-11-23T01:32:37.4279957Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4280007Z             {
2022-11-23T01:32:37.4280141Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4280307Z                 'code': ['___check_obj_id(model, 140123416715920)'],
2022-11-23T01:32:37.4280425Z                 'obj_weakref': None
2022-11-23T01:32:37.4280652Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4280715Z             }
2022-11-23T01:32:37.4280778Z             
2022-11-23T01:32:37.4280833Z  - 
2022-11-23T01:32:37.4280952Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4281013Z             {
2022-11-23T01:32:37.4281148Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4281369Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4281487Z                 'obj_weakref': None
2022-11-23T01:32:37.4281703Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4281769Z             }
2022-11-23T01:32:37.4281818Z             
2022-11-23T01:32:37.4281885Z  - 
2022-11-23T01:32:37.4282014Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.4282077Z             {
2022-11-23T01:32:37.4282195Z                 'guard_types': None,
2022-11-23T01:32:37.4282301Z                 'code': None,
2022-11-23T01:32:37.4282405Z                 'obj_weakref': None
2022-11-23T01:32:37.4282523Z                 'guarded_class': None
2022-11-23T01:32:37.4282584Z             }
2022-11-23T01:32:37.4282646Z             
2022-11-23T01:32:37.4282906Z [2022-11-23 01:20:13,273] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 170
2022-11-23T01:32:37.4283284Z [2022-11-23 01:20:15,814] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eg/cegtibmxzh7omuhiqc5fo7xwoiuibq6zbrpdtoic7em6yqdphwdk.py
2022-11-23T01:32:37.4283545Z [2022-11-23 01:20:15,814] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 170
2022-11-23T01:32:37.4283551Z 
2022-11-23T01:32:37.4283645Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4283701Z import torch
2022-11-23T01:32:37.4283769Z import random
2022-11-23T01:32:37.4283884Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4284050Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4284056Z 
2022-11-23T01:32:37.4284134Z aten = torch.ops.aten
2022-11-23T01:32:37.4284269Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4284360Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4284365Z 
2022-11-23T01:32:37.4284369Z 
2022-11-23T01:32:37.4284502Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4284725Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4284843Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.4284943Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.4285003Z {
2022-11-23T01:32:37.4285102Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4285165Z     {
2022-11-23T01:32:37.4285257Z         #pragma omp for  collapse(2)
2022-11-23T01:32:37.4285325Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:37.4285393Z         {
2022-11-23T01:32:37.4285482Z             for(long i1=0; i1<128; i1+=1)
2022-11-23T01:32:37.4285548Z             {
2022-11-23T01:32:37.4285636Z                 for(long i2=0; i2<6; i2+=1)
2022-11-23T01:32:37.4285701Z                 {
2022-11-23T01:32:37.4285851Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (16*i2) + (100*i0));
2022-11-23T01:32:37.4285978Z                     auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.4286072Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4286160Z                     auto tmp3 = tmp2 + tmp1;
2022-11-23T01:32:37.4286272Z                     tmp3.store(out_ptr0 + (16*i2) + (100*i1) + (12800*i0));
2022-11-23T01:32:37.4286336Z                 }
2022-11-23T01:32:37.4286430Z                 #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.4286517Z                 for(long i2=96; i2<100; i2+=1)
2022-11-23T01:32:37.4286582Z                 {
2022-11-23T01:32:37.4286667Z                     auto tmp0 = in_ptr0[i2 + (100*i0)];
2022-11-23T01:32:37.4286772Z                     auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:37.4286862Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4286951Z                     auto tmp3 = tmp2 + tmp1;
2022-11-23T01:32:37.4287052Z                     out_ptr0[i2 + (100*i1) + (12800*i0)] = tmp3;
2022-11-23T01:32:37.4287116Z                 }
2022-11-23T01:32:37.4287178Z             }
2022-11-23T01:32:37.4287228Z         }
2022-11-23T01:32:37.4287291Z     }
2022-11-23T01:32:37.4287350Z }
2022-11-23T01:32:37.4287427Z ''')
2022-11-23T01:32:37.4287433Z 
2022-11-23T01:32:37.4287437Z 
2022-11-23T01:32:37.4287527Z async_compile.wait(globals())
2022-11-23T01:32:37.4287598Z del async_compile
2022-11-23T01:32:37.4287603Z 
2022-11-23T01:32:37.4287672Z def call(args):
2022-11-23T01:32:37.4287734Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.4287804Z     args.clear()
2022-11-23T01:32:37.4288018Z     buf0 = empty_strided((6, 128, 100), (12800, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4288152Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.4288263Z     return (as_strided(arg0_1, (6, 128, 100), (100, 0, 1)), buf0, )
2022-11-23T01:32:37.4288268Z 
2022-11-23T01:32:37.4288272Z 
2022-11-23T01:32:37.4288347Z if __name__ == "__main__":
2022-11-23T01:32:37.4288460Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4288581Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4288776Z     arg0_1 = rand_strided((6, 1, 100), (100, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4288989Z     arg1_1 = rand_strided((6, 128, 100), (12800, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4289103Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.4289108Z 
2022-11-23T01:32:37.4289173Z ok (2.726s)
2022-11-23T01:32:37.4289478Z   test_expand_cpu (__main__.CpuTests) ... [2022-11-23 01:20:15,896] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4289779Z [2022-11-23 01:20:15,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4295418Z [2022-11-23 01:20:15,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4295733Z [2022-11-23 01:20:15,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4296076Z [2022-11-23 01:20:15,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4296406Z [2022-11-23 01:20:15,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4296742Z [2022-11-23 01:20:15,897] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f647b9c0, file "inductor/test_torchinductor.py", line 1260> 
2022-11-23T01:32:37.4296842Z  1262           0 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4296935Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:37.4297010Z                4 BINARY_ADD
2022-11-23T01:32:37.4297108Z                6 LOAD_METHOD              0 (expand)
2022-11-23T01:32:37.4297198Z                8 LOAD_CONST               2 (3)
2022-11-23T01:32:37.4297285Z               10 LOAD_CONST               3 (4)
2022-11-23T01:32:37.4297361Z               12 LOAD_CONST               4 (2)
2022-11-23T01:32:37.4297449Z               14 LOAD_CONST               2 (3)
2022-11-23T01:32:37.4297535Z               16 LOAD_CONST               4 (2)
2022-11-23T01:32:37.4297623Z               18 CALL_METHOD              5
2022-11-23T01:32:37.4297707Z               20 LOAD_CONST               4 (2)
2022-11-23T01:32:37.4297780Z               22 BINARY_ADD
2022-11-23T01:32:37.4297787Z 
2022-11-23T01:32:37.4297873Z 1263          24 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4297956Z               26 LOAD_METHOD              0 (expand)
2022-11-23T01:32:37.4298042Z               28 LOAD_CONST               4 (2)
2022-11-23T01:32:37.4298127Z               30 LOAD_CONST               1 (1)
2022-11-23T01:32:37.4298212Z               32 LOAD_CONST               4 (2)
2022-11-23T01:32:37.4298295Z               34 LOAD_CONST               2 (3)
2022-11-23T01:32:37.4298379Z               36 LOAD_CONST               4 (2)
2022-11-23T01:32:37.4298467Z               38 CALL_METHOD              5
2022-11-23T01:32:37.4298541Z               40 LOAD_CONST               4 (2)
2022-11-23T01:32:37.4298617Z               42 BINARY_ADD
2022-11-23T01:32:37.4298706Z               44 BUILD_TUPLE              2
2022-11-23T01:32:37.4298711Z 
2022-11-23T01:32:37.4298795Z 1264          46 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4298890Z               48 LOAD_METHOD              0 (expand)
2022-11-23T01:32:37.4298974Z               50 LOAD_CONST               4 (2)
2022-11-23T01:32:37.4299111Z               52 LOAD_CONST               5 (-1)
2022-11-23T01:32:37.4299197Z               54 LOAD_CONST               6 (5)
2022-11-23T01:32:37.4299320Z               56 LOAD_CONST               5 (-1)
2022-11-23T01:32:37.4299406Z               58 CALL_METHOD              4
2022-11-23T01:32:37.4299491Z               60 BUILD_TUPLE              2
2022-11-23T01:32:37.4299566Z               62 RETURN_VALUE
2022-11-23T01:32:37.4299626Z  
2022-11-23T01:32:37.4299631Z 
2022-11-23T01:32:37.4299903Z [2022-11-23 01:20:15,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1262
2022-11-23T01:32:37.4300112Z [2022-11-23 01:20:15,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.4300339Z [2022-11-23 01:20:15,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:37.4300620Z [2022-11-23 01:20:15,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4300911Z [2022-11-23 01:20:15,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TensorVariable()]
2022-11-23T01:32:37.4301187Z [2022-11-23 01:20:15,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:37.4301498Z [2022-11-23 01:20:15,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:32:37.4301878Z [2022-11-23 01:20:15,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.4302268Z [2022-11-23 01:20:15,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.4302696Z [2022-11-23 01:20:15,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.4303170Z [2022-11-23 01:20:15,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.4303413Z [2022-11-23 01:20:15,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:37.4303696Z [2022-11-23 01:20:15,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4303965Z [2022-11-23 01:20:15,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1263
2022-11-23T01:32:37.4304187Z [2022-11-23 01:20:15,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:37.4304564Z [2022-11-23 01:20:15,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4304875Z [2022-11-23 01:20:15,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:37.4305220Z [2022-11-23 01:20:15,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:32:37.4305603Z [2022-11-23 01:20:15,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.4306020Z [2022-11-23 01:20:15,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.4306471Z [2022-11-23 01:20:15,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.4306971Z [2022-11-23 01:20:15,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.4307240Z [2022-11-23 01:20:15,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4307550Z [2022-11-23 01:20:15,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4307815Z [2022-11-23 01:20:15,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4308082Z [2022-11-23 01:20:15,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1264
2022-11-23T01:32:37.4308341Z [2022-11-23 01:20:15,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TupleVariable()]
2022-11-23T01:32:37.4308613Z [2022-11-23 01:20:15,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TupleVariable(), TensorVariable()]
2022-11-23T01:32:37.4308942Z [2022-11-23 01:20:15,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TupleVariable(), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:37.4309285Z [2022-11-23 01:20:15,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:32:37.4309659Z [2022-11-23 01:20:15,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.4310076Z [2022-11-23 01:20:15,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.4310537Z [2022-11-23 01:20:15,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.4310805Z [2022-11-23 01:20:15,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TupleVariable(), TensorVariable()]
2022-11-23T01:32:37.4311048Z [2022-11-23 01:20:15,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4311376Z [2022-11-23 01:20:15,917] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f647b9c0, file "inductor/test_torchinductor.py", line 1260>
2022-11-23T01:32:37.4311617Z [2022-11-23 01:20:15,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4311839Z [2022-11-23 01:20:15,917] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4312090Z [2022-11-23 01:20:15,920] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4312335Z [2022-11-23 01:20:15,933] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4312526Z [2022-11-23 01:20:15,934] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4312658Z  __compiled_fn_172 <eval_with_key>.1096 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4312748Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4312919Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.4313026Z call_method, expand, expand, (add, 3, 4, 2, 3, 2), {}
2022-11-23T01:32:37.4313190Z call_function, add_1, <built-in function add>, (expand, 2), {}
2022-11-23T01:32:37.4313300Z call_method, expand_1, expand, (ex_0_, 2, 1, 2, 3, 2), {}
2022-11-23T01:32:37.4313479Z call_function, add_2, <built-in function add>, (expand_1, 2), {}
2022-11-23T01:32:37.4313640Z call_method, expand_2, expand, (ex_0_, 2, -1, 5, -1), {}
2022-11-23T01:32:37.4313751Z output, output, output, ((add_1, add_2, expand_2),), {}
2022-11-23T01:32:37.4313757Z 
2022-11-23T01:32:37.4314030Z [2022-11-23 01:20:15,935] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4314123Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4314212Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4314291Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4314379Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4314454Z               8 RETURN_VALUE
2022-11-23T01:32:37.4314458Z 
2022-11-23T01:32:37.4314519Z  
2022-11-23T01:32:37.4314790Z [2022-11-23 01:20:15,935] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4314928Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_172)
2022-11-23T01:32:37.4315017Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4315107Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4315173Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4315260Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.4315393Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4315494Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4315581Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4315657Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.4315758Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4315832Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4315905Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.4315991Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.4316092Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4316178Z              28 LOAD_CONST               3 (2)
2022-11-23T01:32:37.4316253Z              30 BINARY_SUBSCR
2022-11-23T01:32:37.4316338Z              32 BUILD_TUPLE              2
2022-11-23T01:32:37.4316400Z              34 RETURN_VALUE
2022-11-23T01:32:37.4316417Z 
2022-11-23T01:32:37.4316465Z  
2022-11-23T01:32:37.4316652Z [2022-11-23 01:20:15,937] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4316720Z  - 
2022-11-23T01:32:37.4316838Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4316901Z             {
2022-11-23T01:32:37.4317041Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4317335Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.4317456Z                 'obj_weakref': None
2022-11-23T01:32:37.4317680Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4317749Z             }
2022-11-23T01:32:37.4317814Z             
2022-11-23T01:32:37.4317883Z  - 
2022-11-23T01:32:37.4318008Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4318057Z             {
2022-11-23T01:32:37.4318205Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4318312Z                 'code': None,
2022-11-23T01:32:37.4318525Z                 'obj_weakref': <weakref at 0x7f7106391a70; to 'Tensor' at 0x7f71c25e7dd0>
2022-11-23T01:32:37.4318775Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4318840Z             }
2022-11-23T01:32:37.4318904Z             
2022-11-23T01:32:37.4318960Z  - 
2022-11-23T01:32:37.4319091Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4319154Z             {
2022-11-23T01:32:37.4319286Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4319456Z                 'code': ['___check_obj_id(model, 140123417949104)'],
2022-11-23T01:32:37.4319574Z                 'obj_weakref': None
2022-11-23T01:32:37.4319799Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4319850Z             }
2022-11-23T01:32:37.4319911Z             
2022-11-23T01:32:37.4319978Z  - 
2022-11-23T01:32:37.4320097Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4320160Z             {
2022-11-23T01:32:37.4320297Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4320517Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4320621Z                 'obj_weakref': None
2022-11-23T01:32:37.4320837Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4320898Z             }
2022-11-23T01:32:37.4320959Z             
2022-11-23T01:32:37.4321217Z [2022-11-23 01:20:15,960] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 171
2022-11-23T01:32:37.4321655Z [2022-11-23 01:20:18,547] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hd/chddvbytrntggvkwszey7oiqtaskobzcjcfsoe4srjnh56wfnx4a.py
2022-11-23T01:32:37.4321921Z [2022-11-23 01:20:18,548] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 171
2022-11-23T01:32:37.4321927Z 
2022-11-23T01:32:37.4322022Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4322114Z import torch
2022-11-23T01:32:37.4322184Z import random
2022-11-23T01:32:37.4322301Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4322423Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4322428Z 
2022-11-23T01:32:37.4322507Z aten = torch.ops.aten
2022-11-23T01:32:37.4322643Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4322736Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4322741Z 
2022-11-23T01:32:37.4322745Z 
2022-11-23T01:32:37.4322887Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4323079Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4323199Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.4323298Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.4323396Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.4323457Z {
2022-11-23T01:32:37.4323556Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4323617Z     {
2022-11-23T01:32:37.4323680Z         #pragma omp for 
2022-11-23T01:32:37.4323763Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:37.4323827Z         {
2022-11-23T01:32:37.4323906Z             #pragma GCC ivdep
2022-11-23T01:32:37.4323987Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:37.4324051Z             {
2022-11-23T01:32:37.4324132Z                 #pragma GCC ivdep
2022-11-23T01:32:37.4324208Z                 for(long i2=0; i2<3; i2+=1)
2022-11-23T01:32:37.4324275Z                 {
2022-11-23T01:32:37.4324357Z                     #pragma GCC ivdep
2022-11-23T01:32:37.4324446Z                     for(long i3=0; i3<2; i3+=1)
2022-11-23T01:32:37.4324512Z                     {
2022-11-23T01:32:37.4324579Z                         {
2022-11-23T01:32:37.4324649Z                             {
2022-11-23T01:32:37.4324741Z                                 auto tmp0 = in_ptr0[i3 + (2*i1)];
2022-11-23T01:32:37.4324853Z                                 auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:37.4324948Z                                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4325055Z                                 auto tmp3 = static_cast<float>(2);
2022-11-23T01:32:37.4325151Z                                 auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:37.4325262Z                                 out_ptr0[i3 + (2*i2) + (6*i1) + (12*i0)] = tmp4;
2022-11-23T01:32:37.4325332Z                             }
2022-11-23T01:32:37.4325389Z                         }
2022-11-23T01:32:37.4325454Z                     }
2022-11-23T01:32:37.4325518Z                 }
2022-11-23T01:32:37.4325580Z             }
2022-11-23T01:32:37.4325643Z         }
2022-11-23T01:32:37.4325733Z         #pragma omp for  collapse(2)
2022-11-23T01:32:37.4325812Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:37.4325861Z         {
2022-11-23T01:32:37.4325942Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:37.4326005Z             {
2022-11-23T01:32:37.4326086Z                 #pragma GCC ivdep
2022-11-23T01:32:37.4326173Z                 for(long i2=0; i2<3; i2+=1)
2022-11-23T01:32:37.4326237Z                 {
2022-11-23T01:32:37.4326319Z                     #pragma GCC ivdep
2022-11-23T01:32:37.4326395Z                     for(long i3=0; i3<2; i3+=1)
2022-11-23T01:32:37.4326460Z                     {
2022-11-23T01:32:37.4326527Z                         {
2022-11-23T01:32:37.4326596Z                             {
2022-11-23T01:32:37.4326698Z                                 auto tmp0 = in_ptr0[i3 + (2*i1)];
2022-11-23T01:32:37.4326836Z                                 auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:37.4326933Z                                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4327028Z                                 out_ptr1[i3 + (2*i2) + (6*i1) + (12*i0)] = tmp2;
2022-11-23T01:32:37.4327096Z                             }
2022-11-23T01:32:37.4327161Z                         }
2022-11-23T01:32:37.4327256Z                     }
2022-11-23T01:32:37.4327321Z                 }
2022-11-23T01:32:37.4327383Z             }
2022-11-23T01:32:37.4327444Z         }
2022-11-23T01:32:37.4327492Z     }
2022-11-23T01:32:37.4327551Z }
2022-11-23T01:32:37.4327632Z ''')
2022-11-23T01:32:37.4327638Z 
2022-11-23T01:32:37.4327642Z 
2022-11-23T01:32:37.4327730Z async_compile.wait(globals())
2022-11-23T01:32:37.4327802Z del async_compile
2022-11-23T01:32:37.4327807Z 
2022-11-23T01:32:37.4327878Z def call(args):
2022-11-23T01:32:37.4327949Z     arg0_1, = args
2022-11-23T01:32:37.4328011Z     args.clear()
2022-11-23T01:32:37.4328234Z     buf0 = empty_strided((3, 4, 2, 3, 2), (48, 12, 6, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4328452Z     buf1 = empty_strided((2, 1, 2, 3, 2), (12, 24, 6, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4328617Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.4328739Z     return (buf0, buf1, as_strided(arg0_1, (2, 2, 5, 2), (0, 2, 0, 1)), )
2022-11-23T01:32:37.4328744Z 
2022-11-23T01:32:37.4328747Z 
2022-11-23T01:32:37.4328828Z if __name__ == "__main__":
2022-11-23T01:32:37.4328944Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4329067Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4329257Z     arg0_1 = rand_strided((2, 1, 2), (2, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4329365Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.4329371Z 
2022-11-23T01:32:37.4329439Z ok (2.667s)
2022-11-23T01:32:37.4330107Z   test_expanded_reduction_cpu (__main__.CpuTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/87157 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s)
2022-11-23T01:32:37.4330413Z   test_fill1_cpu (__main__.CpuTests) ... [2022-11-23 01:20:18,564] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4330684Z [2022-11-23 01:20:18,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4330903Z [2022-11-23 01:20:18,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4331156Z [2022-11-23 01:20:18,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4331446Z [2022-11-23 01:20:18,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4331771Z [2022-11-23 01:20:18,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4332099Z [2022-11-23 01:20:18,565] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f641a8a0, file "inductor/test_torchinductor.py", line 2490> 
2022-11-23T01:32:37.4332185Z  2491           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.4332286Z                2 LOAD_METHOD              1 (ones_like)
2022-11-23T01:32:37.4332381Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.4332472Z                6 CALL_METHOD              1
2022-11-23T01:32:37.4332566Z                8 STORE_FAST               1 (tmp)
2022-11-23T01:32:37.4332572Z 
2022-11-23T01:32:37.4332664Z 2492          10 LOAD_FAST                1 (tmp)
2022-11-23T01:32:37.4332793Z               12 LOAD_GLOBAL              2 (aten)
2022-11-23T01:32:37.4332868Z               14 LOAD_ATTR                3 (fill)
2022-11-23T01:32:37.4332962Z               16 LOAD_METHOD              4 (Scalar)
2022-11-23T01:32:37.4333052Z               18 LOAD_FAST                1 (tmp)
2022-11-23T01:32:37.4333143Z               20 LOAD_CONST               1 (2)
2022-11-23T01:32:37.4333231Z               22 CALL_METHOD              2
2022-11-23T01:32:37.4333350Z               24 BUILD_TUPLE              2
2022-11-23T01:32:37.4333428Z               26 RETURN_VALUE
2022-11-23T01:32:37.4333489Z  
2022-11-23T01:32:37.4333493Z 
2022-11-23T01:32:37.4333749Z [2022-11-23 01:20:18,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2491
2022-11-23T01:32:37.4333973Z [2022-11-23 01:20:18,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.4334346Z [2022-11-23 01:20:18,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.4334672Z [2022-11-23 01:20:18,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method ones_like of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.4335035Z [2022-11-23 01:20:18,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method ones_like of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.4335278Z [2022-11-23 01:20:18,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()]
2022-11-23T01:32:37.4335546Z [2022-11-23 01:20:18,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2492
2022-11-23T01:32:37.4335754Z [2022-11-23 01:20:18,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp []
2022-11-23T01:32:37.4335999Z [2022-11-23 01:20:18,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.4336331Z [2022-11-23 01:20:18,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fill [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.4336602Z [2022-11-23 01:20:18,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Scalar [TensorVariable(), TorchVariable(aten.fill)]
2022-11-23T01:32:37.4336899Z [2022-11-23 01:20:18,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(aten.fill.Scalar)]
2022-11-23T01:32:37.4337219Z [2022-11-23 01:20:18,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.fill.Scalar), TensorVariable()]
2022-11-23T01:32:37.4337582Z [2022-11-23 01:20:18,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.fill.Scalar), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4337850Z [2022-11-23 01:20:18,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4338100Z [2022-11-23 01:20:18,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4338430Z [2022-11-23 01:20:18,590] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f641a8a0, file "inductor/test_torchinductor.py", line 2490>
2022-11-23T01:32:37.4338673Z [2022-11-23 01:20:18,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4338907Z [2022-11-23 01:20:18,590] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4339161Z [2022-11-23 01:20:18,592] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4339393Z [2022-11-23 01:20:18,601] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4339579Z [2022-11-23 01:20:18,602] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4339769Z  __compiled_fn_173 <eval_with_key>.1102 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4339858Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4340099Z call_function, ones_like, <built-in method ones_like of type object at 0x7f71f2abebc0>, (ex_0_,), {}
2022-11-23T01:32:37.4340230Z call_function, fill_scalar, aten.fill.Scalar, (ones_like, 2), {}
2022-11-23T01:32:37.4340382Z output, output, output, ((ones_like, fill_scalar),), {}
2022-11-23T01:32:37.4340388Z 
2022-11-23T01:32:37.4340665Z [2022-11-23 01:20:18,602] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4340759Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4340837Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4340927Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4341015Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4341095Z               8 RETURN_VALUE
2022-11-23T01:32:37.4341101Z 
2022-11-23T01:32:37.4341162Z  
2022-11-23T01:32:37.4341442Z [2022-11-23 01:20:18,602] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4341551Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_173)
2022-11-23T01:32:37.4341628Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4341719Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4341796Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4341884Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.4341992Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4342094Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4342183Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4342246Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.4342347Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4342436Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4342510Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.4342596Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.4342672Z              26 RETURN_VALUE
2022-11-23T01:32:37.4342677Z 
2022-11-23T01:32:37.4342737Z  
2022-11-23T01:32:37.4342918Z [2022-11-23 01:20:18,604] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4342975Z  - 
2022-11-23T01:32:37.4343094Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4343156Z             {
2022-11-23T01:32:37.4343296Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4343481Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.4343600Z                 'obj_weakref': None
2022-11-23T01:32:37.4343822Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4343873Z             }
2022-11-23T01:32:37.4343940Z             
2022-11-23T01:32:37.4344007Z  - 
2022-11-23T01:32:37.4344129Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4344192Z             {
2022-11-23T01:32:37.4344333Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4344426Z                 'code': None,
2022-11-23T01:32:37.4344727Z                 'obj_weakref': <weakref at 0x7f7106b9a0b0; to 'Tensor' at 0x7f7106d27ef0>
2022-11-23T01:32:37.4344978Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4345043Z             }
2022-11-23T01:32:37.4345107Z             
2022-11-23T01:32:37.4345179Z  - 
2022-11-23T01:32:37.4345310Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4345374Z             {
2022-11-23T01:32:37.4345496Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4345665Z                 'code': ['___check_obj_id(model, 140123418426976)'],
2022-11-23T01:32:37.4345821Z                 'obj_weakref': None
2022-11-23T01:32:37.4346046Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4346111Z             }
2022-11-23T01:32:37.4346174Z             
2022-11-23T01:32:37.4346241Z  - 
2022-11-23T01:32:37.4346354Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4346416Z             {
2022-11-23T01:32:37.4346551Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4346794Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4346912Z                 'obj_weakref': None
2022-11-23T01:32:37.4347131Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4347195Z             }
2022-11-23T01:32:37.4347245Z             
2022-11-23T01:32:37.4347315Z  - 
2022-11-23T01:32:37.4347446Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.4347510Z             {
2022-11-23T01:32:37.4347632Z                 'guard_types': None,
2022-11-23T01:32:37.4347737Z                 'code': None,
2022-11-23T01:32:37.4347842Z                 'obj_weakref': None
2022-11-23T01:32:37.4347958Z                 'guarded_class': None
2022-11-23T01:32:37.4348021Z             }
2022-11-23T01:32:37.4348083Z             
2022-11-23T01:32:37.4348151Z  - 
2022-11-23T01:32:37.4348281Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.4348343Z             {
2022-11-23T01:32:37.4348450Z                 'guard_types': None,
2022-11-23T01:32:37.4348555Z                 'code': None,
2022-11-23T01:32:37.4348669Z                 'obj_weakref': None
2022-11-23T01:32:37.4348787Z                 'guarded_class': None
2022-11-23T01:32:37.4348850Z             }
2022-11-23T01:32:37.4348912Z             
2022-11-23T01:32:37.4349171Z [2022-11-23 01:20:18,618] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 172
2022-11-23T01:32:37.4349534Z [2022-11-23 01:20:21,168] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kb/ckbuojn2onjree7trfjgcnasaidijdthelrmyzic3nfwe4qbm27s.py
2022-11-23T01:32:37.4349800Z [2022-11-23 01:20:21,169] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 172
2022-11-23T01:32:37.4349805Z 
2022-11-23T01:32:37.4349897Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4349964Z import torch
2022-11-23T01:32:37.4350032Z import random
2022-11-23T01:32:37.4350148Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4350268Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4350273Z 
2022-11-23T01:32:37.4350350Z aten = torch.ops.aten
2022-11-23T01:32:37.4350470Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4350560Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4350565Z 
2022-11-23T01:32:37.4350569Z 
2022-11-23T01:32:37.4350700Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4350903Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4351019Z extern "C" void kernel(float* __restrict__ out_ptr0,
2022-11-23T01:32:37.4351115Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.4351176Z {
2022-11-23T01:32:37.4351273Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4351322Z     {
2022-11-23T01:32:37.4351398Z         #pragma omp for 
2022-11-23T01:32:37.4351480Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:37.4351543Z         {
2022-11-23T01:32:37.4351688Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.4351780Z             tmp0.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.4351843Z         }
2022-11-23T01:32:37.4351925Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.4352006Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:37.4352067Z         {
2022-11-23T01:32:37.4352165Z             auto tmp0 = static_cast<float>(1);
2022-11-23T01:32:37.4352275Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:37.4352336Z         }
2022-11-23T01:32:37.4352399Z         #pragma omp for 
2022-11-23T01:32:37.4352478Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:37.4352537Z         {
2022-11-23T01:32:37.4352669Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:37.4352759Z             tmp0.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.4352820Z         }
2022-11-23T01:32:37.4352942Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.4353023Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:37.4353072Z         {
2022-11-23T01:32:37.4353170Z             auto tmp0 = static_cast<float>(2);
2022-11-23T01:32:37.4353248Z             out_ptr1[i0] = tmp0;
2022-11-23T01:32:37.4353308Z         }
2022-11-23T01:32:37.4353370Z     }
2022-11-23T01:32:37.4353429Z }
2022-11-23T01:32:37.4353494Z ''')
2022-11-23T01:32:37.4353499Z 
2022-11-23T01:32:37.4353515Z 
2022-11-23T01:32:37.4353591Z async_compile.wait(globals())
2022-11-23T01:32:37.4353665Z del async_compile
2022-11-23T01:32:37.4353670Z 
2022-11-23T01:32:37.4353740Z def call(args):
2022-11-23T01:32:37.4353810Z     arg0_1, = args
2022-11-23T01:32:37.4353880Z     args.clear()
2022-11-23T01:32:37.4354082Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4354277Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4354399Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.4354475Z     return (buf0, buf1, )
2022-11-23T01:32:37.4354481Z 
2022-11-23T01:32:37.4354485Z 
2022-11-23T01:32:37.4354560Z if __name__ == "__main__":
2022-11-23T01:32:37.4354672Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4354792Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4354990Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4355096Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.4355102Z 
2022-11-23T01:32:37.4355167Z ok (2.617s)
2022-11-23T01:32:37.4355457Z   test_fill2_cpu (__main__.CpuTests) ... [2022-11-23 01:20:21,180] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4355725Z [2022-11-23 01:20:21,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4355942Z [2022-11-23 01:20:21,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4356193Z [2022-11-23 01:20:21,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4356475Z [2022-11-23 01:20:21,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4356796Z [2022-11-23 01:20:21,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4357228Z [2022-11-23 01:20:21,181] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f641a9c0, file "inductor/test_torchinductor.py", line 2500> 
2022-11-23T01:32:37.4357327Z  2501           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.4357427Z                2 LOAD_METHOD              1 (ones_like)
2022-11-23T01:32:37.4357505Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.4357595Z                6 CALL_METHOD              1
2022-11-23T01:32:37.4357692Z                8 STORE_FAST               1 (tmp)
2022-11-23T01:32:37.4357697Z 
2022-11-23T01:32:37.4357789Z 2502          10 LOAD_FAST                1 (tmp)
2022-11-23T01:32:37.4357882Z               12 LOAD_GLOBAL              2 (aten)
2022-11-23T01:32:37.4357970Z               14 LOAD_ATTR                3 (fill)
2022-11-23T01:32:37.4358064Z               16 LOAD_METHOD              4 (Tensor)
2022-11-23T01:32:37.4358154Z               18 LOAD_FAST                1 (tmp)
2022-11-23T01:32:37.4358288Z               20 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.4358382Z               22 LOAD_METHOD              5 (tensor)
2022-11-23T01:32:37.4358471Z               24 LOAD_CONST               1 (3.0)
2022-11-23T01:32:37.4358559Z               26 CALL_METHOD              1
2022-11-23T01:32:37.4358648Z               28 CALL_METHOD              2
2022-11-23T01:32:37.4358738Z               30 BUILD_TUPLE              2
2022-11-23T01:32:37.4358854Z               32 RETURN_VALUE
2022-11-23T01:32:37.4358903Z  
2022-11-23T01:32:37.4358907Z 
2022-11-23T01:32:37.4359186Z [2022-11-23 01:20:21,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2501
2022-11-23T01:32:37.4359404Z [2022-11-23 01:20:21,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.4359775Z [2022-11-23 01:20:21,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.4360099Z [2022-11-23 01:20:21,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method ones_like of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.4360456Z [2022-11-23 01:20:21,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method ones_like of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.4360700Z [2022-11-23 01:20:21,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()]
2022-11-23T01:32:37.4360964Z [2022-11-23 01:20:21,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2502
2022-11-23T01:32:37.4361176Z [2022-11-23 01:20:21,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp []
2022-11-23T01:32:37.4361420Z [2022-11-23 01:20:21,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.4361738Z [2022-11-23 01:20:21,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fill [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.4362026Z [2022-11-23 01:20:21,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TensorVariable(), TorchVariable(aten.fill)]
2022-11-23T01:32:37.4362320Z [2022-11-23 01:20:21,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(aten.fill.Tensor)]
2022-11-23T01:32:37.4362648Z [2022-11-23 01:20:21,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable()]
2022-11-23T01:32:37.4363132Z [2022-11-23 01:20:21,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.4363568Z [2022-11-23 01:20:21,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.0 [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.4364048Z [2022-11-23 01:20:21,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(float)]
2022-11-23T01:32:37.4364402Z [2022-11-23 01:20:21,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4364669Z [2022-11-23 01:20:21,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4364914Z [2022-11-23 01:20:21,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4365246Z [2022-11-23 01:20:21,203] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f641a9c0, file "inductor/test_torchinductor.py", line 2500>
2022-11-23T01:32:37.4365522Z [2022-11-23 01:20:21,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4365743Z [2022-11-23 01:20:21,203] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4366020Z [2022-11-23 01:20:21,205] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4366267Z [2022-11-23 01:20:21,213] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4366450Z [2022-11-23 01:20:21,214] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4366587Z  __compiled_fn_174 <eval_with_key>.1108 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4366674Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4366913Z call_function, ones_like, <built-in method ones_like of type object at 0x7f71f2abebc0>, (ex_0_,), {}
2022-11-23T01:32:37.4367141Z call_function, tensor, <built-in method tensor of type object at 0x7f71f2abebc0>, (3.0,), {}
2022-11-23T01:32:37.4367264Z call_function, fill_tensor, aten.fill.Tensor, (ones_like, tensor), {}
2022-11-23T01:32:37.4367381Z output, output, output, ((ones_like, fill_tensor),), {}
2022-11-23T01:32:37.4367386Z 
2022-11-23T01:32:37.4367660Z [2022-11-23 01:20:21,214] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4367752Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4367840Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4367932Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4368021Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4368095Z               8 RETURN_VALUE
2022-11-23T01:32:37.4368100Z 
2022-11-23T01:32:37.4368148Z  
2022-11-23T01:32:37.4368419Z [2022-11-23 01:20:21,214] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4368530Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_174)
2022-11-23T01:32:37.4368619Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4368707Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4368782Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4368870Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.4368974Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4369061Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4369148Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4369224Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.4369320Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4369406Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4369480Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.4369570Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.4369632Z              26 RETURN_VALUE
2022-11-23T01:32:37.4369637Z 
2022-11-23T01:32:37.4369696Z  
2022-11-23T01:32:37.4369875Z [2022-11-23 01:20:21,216] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4369943Z  - 
2022-11-23T01:32:37.4370061Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4370124Z             {
2022-11-23T01:32:37.4370266Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4370439Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.4370555Z                 'obj_weakref': None
2022-11-23T01:32:37.4370776Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4370840Z             }
2022-11-23T01:32:37.4370904Z             
2022-11-23T01:32:37.4370971Z  - 
2022-11-23T01:32:37.4371092Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4371172Z             {
2022-11-23T01:32:37.4371318Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4371422Z                 'code': None,
2022-11-23T01:32:37.4371631Z                 'obj_weakref': <weakref at 0x7f7106d04950; to 'Tensor' at 0x7f71c25fdd70>
2022-11-23T01:32:37.4371879Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4371947Z             }
2022-11-23T01:32:37.4372013Z             
2022-11-23T01:32:37.4372139Z  - 
2022-11-23T01:32:37.4372271Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4372334Z             {
2022-11-23T01:32:37.4372469Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4372638Z                 'code': ['___check_obj_id(model, 140123423617680)'],
2022-11-23T01:32:37.4372757Z                 'obj_weakref': None
2022-11-23T01:32:37.4372984Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4373037Z             }
2022-11-23T01:32:37.4373102Z             
2022-11-23T01:32:37.4373172Z  - 
2022-11-23T01:32:37.4373294Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4373357Z             {
2022-11-23T01:32:37.4373497Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4373715Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4373821Z                 'obj_weakref': None
2022-11-23T01:32:37.4374042Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4374107Z             }
2022-11-23T01:32:37.4374170Z             
2022-11-23T01:32:37.4374238Z  - 
2022-11-23T01:32:37.4374371Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.4374434Z             {
2022-11-23T01:32:37.4374540Z                 'guard_types': None,
2022-11-23T01:32:37.4374647Z                 'code': None,
2022-11-23T01:32:37.4374766Z                 'obj_weakref': None
2022-11-23T01:32:37.4374889Z                 'guarded_class': None
2022-11-23T01:32:37.4374952Z             }
2022-11-23T01:32:37.4375015Z             
2022-11-23T01:32:37.4375084Z  - 
2022-11-23T01:32:37.4375202Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.4375267Z             {
2022-11-23T01:32:37.4375388Z                 'guard_types': None,
2022-11-23T01:32:37.4375495Z                 'code': None,
2022-11-23T01:32:37.4375611Z                 'obj_weakref': None
2022-11-23T01:32:37.4375735Z                 'guarded_class': None
2022-11-23T01:32:37.4375785Z             }
2022-11-23T01:32:37.4375849Z             
2022-11-23T01:32:37.4376110Z [2022-11-23 01:20:21,229] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 173
2022-11-23T01:32:37.4376471Z [2022-11-23 01:20:23,785] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rj/crjsbm6pe42w55vy6frrae2vi6ys4vu66bg4v4vl6wny2imqbri3.py
2022-11-23T01:32:37.4376735Z [2022-11-23 01:20:23,785] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 173
2022-11-23T01:32:37.4376743Z 
2022-11-23T01:32:37.4376837Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4376908Z import torch
2022-11-23T01:32:37.4376977Z import random
2022-11-23T01:32:37.4377080Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4377199Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4377204Z 
2022-11-23T01:32:37.4377282Z aten = torch.ops.aten
2022-11-23T01:32:37.4377416Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4377509Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4377515Z 
2022-11-23T01:32:37.4377520Z 
2022-11-23T01:32:37.4377653Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4377858Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4377972Z extern "C" void kernel(float* __restrict__ out_ptr0,
2022-11-23T01:32:37.4378092Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.4378150Z {
2022-11-23T01:32:37.4378247Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4378307Z     {
2022-11-23T01:32:37.4378382Z         #pragma omp for 
2022-11-23T01:32:37.4378464Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:37.4378526Z         {
2022-11-23T01:32:37.4378650Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.4378767Z             tmp0.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.4378833Z         }
2022-11-23T01:32:37.4378927Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.4379009Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:37.4379071Z         {
2022-11-23T01:32:37.4379168Z             auto tmp0 = static_cast<float>(1);
2022-11-23T01:32:37.4379235Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:37.4379296Z         }
2022-11-23T01:32:37.4379370Z         #pragma omp for 
2022-11-23T01:32:37.4379450Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:37.4379513Z         {
2022-11-23T01:32:37.4379647Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(3.0));
2022-11-23T01:32:37.4379738Z             tmp0.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.4379786Z         }
2022-11-23T01:32:37.4379877Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.4379958Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:37.4380019Z         {
2022-11-23T01:32:37.4380121Z             auto tmp0 = static_cast<float>(3.0);
2022-11-23T01:32:37.4380199Z             out_ptr1[i0] = tmp0;
2022-11-23T01:32:37.4380261Z         }
2022-11-23T01:32:37.4380309Z     }
2022-11-23T01:32:37.4380368Z }
2022-11-23T01:32:37.4380446Z ''')
2022-11-23T01:32:37.4380451Z 
2022-11-23T01:32:37.4380455Z 
2022-11-23T01:32:37.4380543Z async_compile.wait(globals())
2022-11-23T01:32:37.4380616Z del async_compile
2022-11-23T01:32:37.4380621Z 
2022-11-23T01:32:37.4380690Z def call(args):
2022-11-23T01:32:37.4380757Z     arg0_1, = args
2022-11-23T01:32:37.4380818Z     args.clear()
2022-11-23T01:32:37.4381015Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4381209Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4381342Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.4381419Z     return (buf0, buf1, )
2022-11-23T01:32:37.4381425Z 
2022-11-23T01:32:37.4381429Z 
2022-11-23T01:32:37.4381505Z if __name__ == "__main__":
2022-11-23T01:32:37.4381616Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4381736Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4381922Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4382028Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.4382032Z 
2022-11-23T01:32:37.4382098Z ok (2.617s)
2022-11-23T01:32:37.4382397Z   test_flip_cpu (__main__.CpuTests) ... [2022-11-23 01:20:23,797] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4382664Z [2022-11-23 01:20:23,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4382881Z [2022-11-23 01:20:23,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4383134Z [2022-11-23 01:20:23,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4383418Z [2022-11-23 01:20:23,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4383740Z [2022-11-23 01:20:23,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4384052Z [2022-11-23 01:20:23,798] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f641e930, file "inductor/test_torchinductor.py", line 2647> 
2022-11-23T01:32:37.4384199Z  2648           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.4384291Z                2 LOAD_METHOD              1 (flip)
2022-11-23T01:32:37.4384382Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.4384601Z                6 LOAD_CONST               1 ((-1,))
2022-11-23T01:32:37.4384692Z                8 CALL_METHOD              2
2022-11-23T01:32:37.4384786Z               10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.4384913Z               12 LOAD_METHOD              1 (flip)
2022-11-23T01:32:37.4384991Z               14 LOAD_FAST                0 (x)
2022-11-23T01:32:37.4385084Z               16 LOAD_CONST               2 ((0, 2))
2022-11-23T01:32:37.4385173Z               18 CALL_METHOD              2
2022-11-23T01:32:37.4385264Z               20 LOAD_CONST               3 (2)
2022-11-23T01:32:37.4385347Z               22 BINARY_SUBTRACT
2022-11-23T01:32:37.4385435Z               24 BUILD_TUPLE              2
2022-11-23T01:32:37.4385515Z               26 RETURN_VALUE
2022-11-23T01:32:37.4385563Z  
2022-11-23T01:32:37.4385567Z 
2022-11-23T01:32:37.4385842Z [2022-11-23 01:20:23,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2648
2022-11-23T01:32:37.4386059Z [2022-11-23 01:20:23,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.4386425Z [2022-11-23 01:20:23,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR flip [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.4386742Z [2022-11-23 01:20:23,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method flip of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.4387096Z [2022-11-23 01:20:23,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (-1,) [TorchVariable(<built-in method flip of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.4387488Z [2022-11-23 01:20:23,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method flip of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:37.4387733Z [2022-11-23 01:20:23,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.4388123Z [2022-11-23 01:20:23,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR flip [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.4388465Z [2022-11-23 01:20:23,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method flip of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.4388843Z [2022-11-23 01:20:23,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 2) [TensorVariable(), TorchVariable(<built-in method flip of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.4389264Z [2022-11-23 01:20:23,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method flip of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:37.4389517Z [2022-11-23 01:20:23,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4389832Z [2022-11-23 01:20:23,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4390097Z [2022-11-23 01:20:23,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4390341Z [2022-11-23 01:20:23,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4390667Z [2022-11-23 01:20:23,808] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f641e930, file "inductor/test_torchinductor.py", line 2647>
2022-11-23T01:32:37.4390941Z [2022-11-23 01:20:23,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4391172Z [2022-11-23 01:20:23,808] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4391424Z [2022-11-23 01:20:23,810] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4391697Z [2022-11-23 01:20:23,817] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4391886Z [2022-11-23 01:20:23,818] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4392007Z  __compiled_fn_175 <eval_with_key>.1114 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4392095Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4392327Z call_function, flip, <built-in method flip of type object at 0x7f71f2abebc0>, (ex_0_, (-1,)), {}
2022-11-23T01:32:37.4392560Z call_function, flip_1, <built-in method flip of type object at 0x7f71f2abebc0>, (ex_0_, (0, 2)), {}
2022-11-23T01:32:37.4392735Z call_function, sub, <built-in function sub>, (flip_1, 2), {}
2022-11-23T01:32:37.4392835Z output, output, output, ((flip, sub),), {}
2022-11-23T01:32:37.4392840Z 
2022-11-23T01:32:37.4393117Z [2022-11-23 01:20:23,818] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4393210Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4393290Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4393381Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4393469Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4393544Z               8 RETURN_VALUE
2022-11-23T01:32:37.4393550Z 
2022-11-23T01:32:37.4393613Z  
2022-11-23T01:32:37.4393887Z [2022-11-23 01:20:23,818] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4393997Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_175)
2022-11-23T01:32:37.4394073Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4394162Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4394237Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4394323Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.4394425Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4394527Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4394615Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4394691Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.4394779Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4394866Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4394940Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.4395027Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.4395100Z              26 RETURN_VALUE
2022-11-23T01:32:37.4395108Z 
2022-11-23T01:32:37.4395169Z  
2022-11-23T01:32:37.4395348Z [2022-11-23 01:20:23,820] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4395404Z  - 
2022-11-23T01:32:37.4395523Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4395586Z             {
2022-11-23T01:32:37.4395725Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4395908Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.4396027Z                 'obj_weakref': None
2022-11-23T01:32:37.4396249Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4396301Z             }
2022-11-23T01:32:37.4396363Z             
2022-11-23T01:32:37.4396432Z  - 
2022-11-23T01:32:37.4396554Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4396617Z             {
2022-11-23T01:32:37.4396758Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4396862Z                 'code': None,
2022-11-23T01:32:37.4397092Z                 'obj_weakref': <weakref at 0x7f7106d70ad0; to 'Tensor' at 0x7f7106d07bf0>
2022-11-23T01:32:37.4397452Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4397517Z             }
2022-11-23T01:32:37.4397581Z             
2022-11-23T01:32:37.4397652Z  - 
2022-11-23T01:32:37.4397783Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4397898Z             {
2022-11-23T01:32:37.4398020Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4398189Z                 'code': ['___check_obj_id(model, 140123418913248)'],
2022-11-23T01:32:37.4398306Z                 'obj_weakref': None
2022-11-23T01:32:37.4398532Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4398595Z             }
2022-11-23T01:32:37.4398661Z             
2022-11-23T01:32:37.4398730Z  - 
2022-11-23T01:32:37.4398840Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4398903Z             {
2022-11-23T01:32:37.4399041Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4399259Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4399379Z                 'obj_weakref': None
2022-11-23T01:32:37.4399598Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4399665Z             }
2022-11-23T01:32:37.4399714Z             
2022-11-23T01:32:37.4399783Z  - 
2022-11-23T01:32:37.4399917Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.4399981Z             {
2022-11-23T01:32:37.4400102Z                 'guard_types': None,
2022-11-23T01:32:37.4400207Z                 'code': None,
2022-11-23T01:32:37.4400322Z                 'obj_weakref': None
2022-11-23T01:32:37.4400428Z                 'guarded_class': None
2022-11-23T01:32:37.4400492Z             }
2022-11-23T01:32:37.4400555Z             
2022-11-23T01:32:37.4400812Z [2022-11-23 01:20:23,835] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 174
2022-11-23T01:32:37.4401180Z [2022-11-23 01:20:26,419] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cn/ccngzeftiklv66xnnybve5dect6uakwuulnl726rkrdwdemdri2k.py
2022-11-23T01:32:37.4401441Z [2022-11-23 01:20:26,420] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 174
2022-11-23T01:32:37.4401449Z 
2022-11-23T01:32:37.4401542Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4401598Z import torch
2022-11-23T01:32:37.4401666Z import random
2022-11-23T01:32:37.4401779Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4401901Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4401906Z 
2022-11-23T01:32:37.4401987Z aten = torch.ops.aten
2022-11-23T01:32:37.4402120Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4402214Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4402219Z 
2022-11-23T01:32:37.4402223Z 
2022-11-23T01:32:37.4402354Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4402547Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4402667Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.4402766Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.4402864Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.4402924Z {
2022-11-23T01:32:37.4403022Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4403082Z     {
2022-11-23T01:32:37.4403145Z         #pragma omp for 
2022-11-23T01:32:37.4403227Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:37.4403289Z         {
2022-11-23T01:32:37.4403368Z             #pragma GCC ivdep
2022-11-23T01:32:37.4403448Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T01:32:37.4403511Z             {
2022-11-23T01:32:37.4403619Z                 {
2022-11-23T01:32:37.4403672Z                     {
2022-11-23T01:32:37.4403842Z                         auto tmp0 = in_ptr0[5 + ((-1)*i1) + (6*i0)];
2022-11-23T01:32:37.4403937Z                         out_ptr0[i1 + (6*i0)] = tmp0;
2022-11-23T01:32:37.4404003Z                     }
2022-11-23T01:32:37.4404067Z                 }
2022-11-23T01:32:37.4404130Z             }
2022-11-23T01:32:37.4404192Z         }
2022-11-23T01:32:37.4404297Z         #pragma omp for  collapse(2)
2022-11-23T01:32:37.4404379Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:37.4404443Z         {
2022-11-23T01:32:37.4404525Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T01:32:37.4404589Z             {
2022-11-23T01:32:37.4404670Z                 #pragma GCC ivdep
2022-11-23T01:32:37.4404757Z                 for(long i2=0; i2<6; i2+=1)
2022-11-23T01:32:37.4404809Z                 {
2022-11-23T01:32:37.4404877Z                     {
2022-11-23T01:32:37.4404948Z                         {
2022-11-23T01:32:37.4405129Z                             auto tmp0 = in_ptr0[30 + i1 + ((-6)*i2) + (36*i0)];
2022-11-23T01:32:37.4405237Z                             auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:37.4405380Z                             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.4405483Z                             out_ptr1[i2 + (6*i1) + (36*i0)] = tmp2;
2022-11-23T01:32:37.4405538Z                         }
2022-11-23T01:32:37.4405604Z                     }
2022-11-23T01:32:37.4405670Z                 }
2022-11-23T01:32:37.4405733Z             }
2022-11-23T01:32:37.4405794Z         }
2022-11-23T01:32:37.4405855Z     }
2022-11-23T01:32:37.4405901Z }
2022-11-23T01:32:37.4405977Z ''')
2022-11-23T01:32:37.4405983Z 
2022-11-23T01:32:37.4405988Z 
2022-11-23T01:32:37.4406076Z async_compile.wait(globals())
2022-11-23T01:32:37.4406147Z del async_compile
2022-11-23T01:32:37.4406152Z 
2022-11-23T01:32:37.4406221Z def call(args):
2022-11-23T01:32:37.4406290Z     arg0_1, = args
2022-11-23T01:32:37.4406361Z     args.clear()
2022-11-23T01:32:37.4406568Z     buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4406759Z     buf1 = empty_strided((1, 2, 6, 6), (72, 36, 1, 6), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4406923Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.4406990Z     del arg0_1
2022-11-23T01:32:37.4407066Z     return (buf0, buf1, )
2022-11-23T01:32:37.4407073Z 
2022-11-23T01:32:37.4407077Z 
2022-11-23T01:32:37.4407151Z if __name__ == "__main__":
2022-11-23T01:32:37.4407264Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4407385Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4407593Z     arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4407690Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.4407695Z 
2022-11-23T01:32:37.4407761Z ok (2.635s)
2022-11-23T01:32:37.4408058Z   test_fmod_cpu (__main__.CpuTests) ... [2022-11-23 01:20:26,436] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4408327Z [2022-11-23 01:20:26,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4408544Z [2022-11-23 01:20:26,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4408797Z [2022-11-23 01:20:26,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4409085Z [2022-11-23 01:20:26,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4409409Z [2022-11-23 01:20:26,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4409738Z [2022-11-23 01:20:26,437] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f641eb70, file "inductor/test_torchinductor.py", line 2665> 
2022-11-23T01:32:37.4409864Z  2666           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.4409962Z                2 LOAD_METHOD              1 (fmod)
2022-11-23T01:32:37.4410054Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4410144Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4410237Z                8 CALL_METHOD              2
2022-11-23T01:32:37.4410363Z               10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.4410456Z               12 LOAD_METHOD              1 (fmod)
2022-11-23T01:32:37.4410546Z               14 LOAD_CONST               1 (3.0)
2022-11-23T01:32:37.4410621Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4410703Z               18 BINARY_MULTIPLY
2022-11-23T01:32:37.4410792Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4410881Z               22 CALL_METHOD              2
2022-11-23T01:32:37.4410975Z               24 LOAD_CONST               2 (2.0)
2022-11-23T01:32:37.4411057Z               26 BINARY_SUBTRACT
2022-11-23T01:32:37.4411146Z               28 BUILD_TUPLE              2
2022-11-23T01:32:37.4411208Z               30 RETURN_VALUE
2022-11-23T01:32:37.4411270Z  
2022-11-23T01:32:37.4411275Z 
2022-11-23T01:32:37.4411545Z [2022-11-23 01:20:26,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2666
2022-11-23T01:32:37.4411764Z [2022-11-23 01:20:26,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.4412126Z [2022-11-23 01:20:26,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.4412446Z [2022-11-23 01:20:26,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method fmod of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.4412791Z [2022-11-23 01:20:26,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method fmod of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.4413172Z [2022-11-23 01:20:26,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method fmod of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4413421Z [2022-11-23 01:20:26,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.4413811Z [2022-11-23 01:20:26,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.4414145Z [2022-11-23 01:20:26,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.0 [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.4414531Z [2022-11-23 01:20:26,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7f71f2abebc0>), ConstantVariable(float)]
2022-11-23T01:32:37.4414971Z [2022-11-23 01:20:26,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7f71f2abebc0>), ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:37.4415345Z [2022-11-23 01:20:26,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.4415756Z [2022-11-23 01:20:26,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method fmod of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4416025Z [2022-11-23 01:20:26,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4416374Z [2022-11-23 01:20:26,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.4416638Z [2022-11-23 01:20:26,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4416911Z [2022-11-23 01:20:26,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4417242Z [2022-11-23 01:20:26,451] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f641eb70, file "inductor/test_torchinductor.py", line 2665>
2022-11-23T01:32:37.4417486Z [2022-11-23 01:20:26,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4417722Z [2022-11-23 01:20:26,451] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4417962Z [2022-11-23 01:20:26,454] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4418213Z [2022-11-23 01:20:26,467] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4418404Z [2022-11-23 01:20:26,468] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4418540Z  __compiled_fn_176 <eval_with_key>.1120 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4418654Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4418777Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.4419097Z call_function, fmod, <built-in method fmod of type object at 0x7f71f2abebc0>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.4419278Z call_function, mul, <built-in function mul>, (3.0, ex_0_), {}
2022-11-23T01:32:37.4419499Z call_function, fmod_1, <built-in method fmod of type object at 0x7f71f2abebc0>, (mul, ex_1_), {}
2022-11-23T01:32:37.4419675Z call_function, sub, <built-in function sub>, (fmod_1, 2.0), {}
2022-11-23T01:32:37.4419781Z output, output, output, ((fmod, sub),), {}
2022-11-23T01:32:37.4419787Z 
2022-11-23T01:32:37.4420068Z [2022-11-23 01:20:26,468] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4420162Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4420253Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4420347Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4420440Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4420504Z               8 RETURN_VALUE
2022-11-23T01:32:37.4420509Z 
2022-11-23T01:32:37.4420570Z  
2022-11-23T01:32:37.4420847Z [2022-11-23 01:20:26,469] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4420956Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_176)
2022-11-23T01:32:37.4421046Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4421138Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4421212Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4421287Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4421372Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4421446Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.4421533Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.4421636Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4421740Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4421826Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4421889Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.4421988Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4422073Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4422146Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.4422232Z              30 BUILD_TUPLE              2
2022-11-23T01:32:37.4422348Z              32 RETURN_VALUE
2022-11-23T01:32:37.4422353Z 
2022-11-23T01:32:37.4422415Z  
2022-11-23T01:32:37.4422596Z [2022-11-23 01:20:26,471] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4422652Z  - 
2022-11-23T01:32:37.4422770Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4422832Z             {
2022-11-23T01:32:37.4422971Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4423192Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.4423313Z                 'obj_weakref': None
2022-11-23T01:32:37.4423537Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4423589Z             }
2022-11-23T01:32:37.4423653Z             
2022-11-23T01:32:37.4423723Z  - 
2022-11-23T01:32:37.4423848Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4423912Z             {
2022-11-23T01:32:37.4424055Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4424164Z                 'code': None,
2022-11-23T01:32:37.4424359Z                 'obj_weakref': <weakref at 0x7f71070c8350; to 'Tensor' at 0x7f70f2e81a70>
2022-11-23T01:32:37.4424708Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4424772Z             }
2022-11-23T01:32:37.4424836Z             
2022-11-23T01:32:37.4424907Z  - 
2022-11-23T01:32:37.4425033Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.4425099Z             {
2022-11-23T01:32:37.4425226Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4425332Z                 'code': None,
2022-11-23T01:32:37.4425536Z                 'obj_weakref': <weakref at 0x7f7106391650; to 'Tensor' at 0x7f70f2dbd110>
2022-11-23T01:32:37.4425781Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4425845Z             }
2022-11-23T01:32:37.4425909Z             
2022-11-23T01:32:37.4425981Z  - 
2022-11-23T01:32:37.4426098Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4426160Z             {
2022-11-23T01:32:37.4426295Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4426464Z                 'code': ['___check_obj_id(model, 140123421442704)'],
2022-11-23T01:32:37.4426582Z                 'obj_weakref': None
2022-11-23T01:32:37.4426810Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4426874Z             }
2022-11-23T01:32:37.4426923Z             
2022-11-23T01:32:37.4426991Z  - 
2022-11-23T01:32:37.4427110Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4427172Z             {
2022-11-23T01:32:37.4427306Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4427521Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4427636Z                 'obj_weakref': None
2022-11-23T01:32:37.4427842Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4427905Z             }
2022-11-23T01:32:37.4427966Z             
2022-11-23T01:32:37.4428033Z  - 
2022-11-23T01:32:37.4428163Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.4428224Z             {
2022-11-23T01:32:37.4428341Z                 'guard_types': None,
2022-11-23T01:32:37.4428433Z                 'code': None,
2022-11-23T01:32:37.4428550Z                 'obj_weakref': None
2022-11-23T01:32:37.4428669Z                 'guarded_class': None
2022-11-23T01:32:37.4428732Z             }
2022-11-23T01:32:37.4428796Z             
2022-11-23T01:32:37.4429053Z [2022-11-23 01:20:26,488] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 175
2022-11-23T01:32:37.4429423Z [2022-11-23 01:20:29,074] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/y3/cy3du5dwn5vdgmffafjwxqljqs7367wg34vdpcclc2gexnpsrh7a.py
2022-11-23T01:32:37.4429855Z [2022-11-23 01:20:29,074] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 175
2022-11-23T01:32:37.4429877Z 
2022-11-23T01:32:37.4429957Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4430053Z import torch
2022-11-23T01:32:37.4430167Z import random
2022-11-23T01:32:37.4430286Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4430409Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4430453Z 
2022-11-23T01:32:37.4430532Z aten = torch.ops.aten
2022-11-23T01:32:37.4430666Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4430745Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4430750Z 
2022-11-23T01:32:37.4430754Z 
2022-11-23T01:32:37.4430891Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4431095Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4431214Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.4431320Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.4431417Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.4431511Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.4431570Z {
2022-11-23T01:32:37.4431655Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4431716Z     {
2022-11-23T01:32:37.4431792Z         #pragma omp for 
2022-11-23T01:32:37.4431875Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.4431937Z         {
2022-11-23T01:32:37.4432078Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.4432210Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:37.4432289Z             auto tmp2 = tmp0.fmod(tmp1);
2022-11-23T01:32:37.4432421Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(3.0));
2022-11-23T01:32:37.4432504Z             auto tmp4 = tmp0 * tmp3;
2022-11-23T01:32:37.4432595Z             auto tmp5 = tmp4.fmod(tmp1);
2022-11-23T01:32:37.4432727Z             auto tmp6 = at::vec::Vectorized<float>(static_cast<float>(2.0));
2022-11-23T01:32:37.4432850Z             auto tmp7 = tmp5 - tmp6;
2022-11-23T01:32:37.4432939Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.4433016Z             tmp7.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.4433079Z         }
2022-11-23T01:32:37.4433173Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.4433258Z         for(long i0=64; i0<72; i0+=1)
2022-11-23T01:32:37.4433320Z         {
2022-11-23T01:32:37.4433402Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.4433483Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:37.4433571Z             auto tmp2 = std::fmod(tmp0, tmp1);
2022-11-23T01:32:37.4433671Z             auto tmp3 = static_cast<float>(3.0);
2022-11-23T01:32:37.4433753Z             auto tmp4 = tmp0 * tmp3;
2022-11-23T01:32:37.4433851Z             auto tmp5 = std::fmod(tmp4, tmp1);
2022-11-23T01:32:37.4433953Z             auto tmp6 = static_cast<float>(2.0);
2022-11-23T01:32:37.4434073Z             auto tmp7 = tmp5 - tmp6;
2022-11-23T01:32:37.4434152Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.4434217Z             out_ptr1[i0] = tmp7;
2022-11-23T01:32:37.4434277Z         }
2022-11-23T01:32:37.4434338Z     }
2022-11-23T01:32:37.4434396Z }
2022-11-23T01:32:37.4434473Z ''')
2022-11-23T01:32:37.4434478Z 
2022-11-23T01:32:37.4434482Z 
2022-11-23T01:32:37.4434573Z async_compile.wait(globals())
2022-11-23T01:32:37.4434644Z del async_compile
2022-11-23T01:32:37.4434649Z 
2022-11-23T01:32:37.4434706Z def call(args):
2022-11-23T01:32:37.4434781Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.4434849Z     args.clear()
2022-11-23T01:32:37.4435060Z     buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4435266Z     buf1 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4435457Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.4435559Z     del arg0_1
2022-11-23T01:32:37.4435624Z     del arg1_1
2022-11-23T01:32:37.4435688Z     return (buf0, buf1, )
2022-11-23T01:32:37.4435693Z 
2022-11-23T01:32:37.4435697Z 
2022-11-23T01:32:37.4435772Z if __name__ == "__main__":
2022-11-23T01:32:37.4435885Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4436033Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4436242Z     arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4436449Z     arg1_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4436562Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.4436566Z 
2022-11-23T01:32:37.4436632Z ok (2.654s)
2022-11-23T01:32:37.4436935Z   test_fmod_zero_dim_cpu (__main__.CpuTests) ... [2022-11-23 01:20:29,090] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4437328Z [2022-11-23 01:20:29,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4437549Z [2022-11-23 01:20:29,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4437804Z [2022-11-23 01:20:29,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4438091Z [2022-11-23 01:20:29,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4438414Z [2022-11-23 01:20:29,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4438743Z [2022-11-23 01:20:29,091] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f641ec90, file "inductor/test_torchinductor.py", line 2672> 
2022-11-23T01:32:37.4438846Z  2673           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.4438945Z                2 LOAD_METHOD              1 (fmod)
2022-11-23T01:32:37.4439021Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4439112Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4439202Z                8 CALL_METHOD              2
2022-11-23T01:32:37.4439292Z               10 BUILD_TUPLE              1
2022-11-23T01:32:37.4439371Z               12 RETURN_VALUE
2022-11-23T01:32:37.4439431Z  
2022-11-23T01:32:37.4439436Z 
2022-11-23T01:32:37.4439703Z [2022-11-23 01:20:29,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2673
2022-11-23T01:32:37.4439921Z [2022-11-23 01:20:29,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.4440271Z [2022-11-23 01:20:29,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.4440592Z [2022-11-23 01:20:29,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method fmod of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.4440936Z [2022-11-23 01:20:29,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method fmod of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.4441314Z [2022-11-23 01:20:29,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method fmod of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4441553Z [2022-11-23 01:20:29,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:37.4441796Z [2022-11-23 01:20:29,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4442121Z [2022-11-23 01:20:29,096] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f641ec90, file "inductor/test_torchinductor.py", line 2672>
2022-11-23T01:32:37.4442430Z [2022-11-23 01:20:29,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4442665Z [2022-11-23 01:20:29,096] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4442963Z [2022-11-23 01:20:29,099] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4443214Z [2022-11-23 01:20:29,107] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4443389Z [2022-11-23 01:20:29,108] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4443524Z  __compiled_fn_177 <eval_with_key>.1126 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4443615Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4443704Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.4443943Z call_function, fmod, <built-in method fmod of type object at 0x7f71f2abebc0>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.4444041Z output, output, output, ((fmod,),), {}
2022-11-23T01:32:37.4444046Z 
2022-11-23T01:32:37.4444326Z [2022-11-23 01:20:29,108] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4444422Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4444503Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4444597Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4444687Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4444763Z               8 RETURN_VALUE
2022-11-23T01:32:37.4444768Z 
2022-11-23T01:32:37.4444829Z  
2022-11-23T01:32:37.4445102Z [2022-11-23 01:20:29,108] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4445208Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_177)
2022-11-23T01:32:37.4445287Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4445376Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4445452Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4445540Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4445631Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4445704Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.4445792Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.4445883Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4445983Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4446071Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4446146Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.4446232Z              24 BUILD_TUPLE              1
2022-11-23T01:32:37.4446306Z              26 RETURN_VALUE
2022-11-23T01:32:37.4446311Z 
2022-11-23T01:32:37.4446371Z  
2022-11-23T01:32:37.4446554Z [2022-11-23 01:20:29,111] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4446609Z  - 
2022-11-23T01:32:37.4446728Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4446792Z             {
2022-11-23T01:32:37.4446931Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4447116Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.4447233Z                 'obj_weakref': None
2022-11-23T01:32:37.4447459Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4447510Z             }
2022-11-23T01:32:37.4447573Z             
2022-11-23T01:32:37.4447641Z  - 
2022-11-23T01:32:37.4447763Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4447825Z             {
2022-11-23T01:32:37.4447966Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4448059Z                 'code': None,
2022-11-23T01:32:37.4448265Z                 'obj_weakref': <weakref at 0x7f7106ba6230; to 'Tensor' at 0x7f7106d271d0>
2022-11-23T01:32:37.4448543Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4448606Z             }
2022-11-23T01:32:37.4448669Z             
2022-11-23T01:32:37.4448737Z  - 
2022-11-23T01:32:37.4448858Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.4448922Z             {
2022-11-23T01:32:37.4449077Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4449183Z                 'code': None,
2022-11-23T01:32:37.4449387Z                 'obj_weakref': <weakref at 0x7f7106391d70; to 'Tensor' at 0x7f710691b170>
2022-11-23T01:32:37.4449633Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4449695Z             }
2022-11-23T01:32:37.4449757Z             
2022-11-23T01:32:37.4449825Z  - 
2022-11-23T01:32:37.4449942Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4450005Z             {
2022-11-23T01:32:37.4450137Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4450305Z                 'code': ['___check_obj_id(model, 140123418828240)'],
2022-11-23T01:32:37.4450422Z                 'obj_weakref': None
2022-11-23T01:32:37.4450648Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4450714Z             }
2022-11-23T01:32:37.4450764Z             
2022-11-23T01:32:37.4450835Z  - 
2022-11-23T01:32:37.4450957Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4451022Z             {
2022-11-23T01:32:37.4451157Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4451375Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4451496Z                 'obj_weakref': None
2022-11-23T01:32:37.4451701Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4451768Z             }
2022-11-23T01:32:37.4451832Z             
2022-11-23T01:32:37.4451901Z  - 
2022-11-23T01:32:37.4452036Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.4452101Z             {
2022-11-23T01:32:37.4452206Z                 'guard_types': None,
2022-11-23T01:32:37.4452313Z                 'code': None,
2022-11-23T01:32:37.4452432Z                 'obj_weakref': None
2022-11-23T01:32:37.4452555Z                 'guarded_class': None
2022-11-23T01:32:37.4452622Z             }
2022-11-23T01:32:37.4452687Z             
2022-11-23T01:32:37.4452947Z [2022-11-23 01:20:29,121] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 176
2022-11-23T01:32:37.4453313Z [2022-11-23 01:20:31,667] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t2/ct267bifrcurfxg36zy5rqkds4huwciu4vbch4nfkcuma26puqyk.py
2022-11-23T01:32:37.4453565Z [2022-11-23 01:20:31,667] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 176
2022-11-23T01:32:37.4453805Z [2022-11-23 01:20:31,679] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4454071Z [2022-11-23 01:20:31,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4454289Z [2022-11-23 01:20:31,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4454543Z [2022-11-23 01:20:31,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4454829Z [2022-11-23 01:20:31,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4455152Z [2022-11-23 01:20:31,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4455481Z [2022-11-23 01:20:31,679] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f641ec90, file "inductor/test_torchinductor.py", line 2672> 
2022-11-23T01:32:37.4455613Z  2673           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.4455696Z                2 LOAD_METHOD              1 (fmod)
2022-11-23T01:32:37.4455784Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4455874Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4455964Z                8 CALL_METHOD              2
2022-11-23T01:32:37.4456083Z               10 BUILD_TUPLE              1
2022-11-23T01:32:37.4456161Z               12 RETURN_VALUE
2022-11-23T01:32:37.4456221Z  
2022-11-23T01:32:37.4456227Z 
2022-11-23T01:32:37.4456499Z [2022-11-23 01:20:31,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2673
2022-11-23T01:32:37.4456703Z [2022-11-23 01:20:31,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.4457067Z [2022-11-23 01:20:31,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.4457391Z [2022-11-23 01:20:31,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method fmod of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.4457737Z [2022-11-23 01:20:31,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method fmod of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.4458116Z [2022-11-23 01:20:31,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method fmod of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4458357Z [2022-11-23 01:20:31,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:37.4458605Z [2022-11-23 01:20:31,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4458937Z [2022-11-23 01:20:31,685] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f641ec90, file "inductor/test_torchinductor.py", line 2672>
2022-11-23T01:32:37.4459181Z [2022-11-23 01:20:31,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4459416Z [2022-11-23 01:20:31,685] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4459656Z [2022-11-23 01:20:31,687] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4459908Z [2022-11-23 01:20:31,695] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4460095Z [2022-11-23 01:20:31,696] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4460231Z  __compiled_fn_178 <eval_with_key>.1132 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4460321Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4460412Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.4460645Z call_function, fmod, <built-in method fmod of type object at 0x7f71f2abebc0>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.4460742Z output, output, output, ((fmod,),), {}
2022-11-23T01:32:37.4460748Z 
2022-11-23T01:32:37.4461024Z [2022-11-23 01:20:31,697] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4461104Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4461197Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4461288Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4461376Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4461451Z               8 RETURN_VALUE
2022-11-23T01:32:37.4461458Z 
2022-11-23T01:32:37.4461519Z  
2022-11-23T01:32:37.4461797Z [2022-11-23 01:20:31,697] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4461921Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_178)
2022-11-23T01:32:37.4462009Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4462096Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4462170Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4462260Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4462353Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4462427Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.4462530Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.4462634Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4462735Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4462824Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4462899Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.4462986Z              24 BUILD_TUPLE              1
2022-11-23T01:32:37.4463061Z              26 RETURN_VALUE
2022-11-23T01:32:37.4463069Z 
2022-11-23T01:32:37.4463128Z  
2022-11-23T01:32:37.4463298Z [2022-11-23 01:20:31,699] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4463366Z  - 
2022-11-23T01:32:37.4463483Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4463547Z             {
2022-11-23T01:32:37.4463685Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4463870Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.4463991Z                 'obj_weakref': None
2022-11-23T01:32:37.4464199Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4464264Z             }
2022-11-23T01:32:37.4464327Z             
2022-11-23T01:32:37.4464395Z  - 
2022-11-23T01:32:37.4464602Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4464666Z             {
2022-11-23T01:32:37.4464798Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4464904Z                 'code': None,
2022-11-23T01:32:37.4465113Z                 'obj_weakref': <weakref at 0x7f7106ba6830; to 'Tensor' at 0x7f7106d271d0>
2022-11-23T01:32:37.4465362Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4465427Z             }
2022-11-23T01:32:37.4465491Z             
2022-11-23T01:32:37.4465561Z  - 
2022-11-23T01:32:37.4465685Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.4465735Z             {
2022-11-23T01:32:37.4465879Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4465985Z                 'code': None,
2022-11-23T01:32:37.4466191Z                 'obj_weakref': <weakref at 0x7f710671af50; to 'Tensor' at 0x7f7106d1a830>
2022-11-23T01:32:37.4466434Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4466498Z             }
2022-11-23T01:32:37.4466560Z             
2022-11-23T01:32:37.4466615Z  - 
2022-11-23T01:32:37.4466746Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4466812Z             {
2022-11-23T01:32:37.4466945Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4467114Z                 'code': ['___check_obj_id(model, 140123418828240)'],
2022-11-23T01:32:37.4467232Z                 'obj_weakref': None
2022-11-23T01:32:37.4467462Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4467515Z             }
2022-11-23T01:32:37.4467578Z             
2022-11-23T01:32:37.4467645Z  - 
2022-11-23T01:32:37.4467765Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4467828Z             {
2022-11-23T01:32:37.4467961Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4468177Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4468281Z                 'obj_weakref': None
2022-11-23T01:32:37.4468496Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4468596Z             }
2022-11-23T01:32:37.4468659Z             
2022-11-23T01:32:37.4468729Z  - 
2022-11-23T01:32:37.4468862Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.4468923Z             {
2022-11-23T01:32:37.4469029Z                 'guard_types': None,
2022-11-23T01:32:37.4469133Z                 'code': None,
2022-11-23T01:32:37.4469249Z                 'obj_weakref': None
2022-11-23T01:32:37.4469404Z                 'guarded_class': None
2022-11-23T01:32:37.4469468Z             }
2022-11-23T01:32:37.4469529Z             
2022-11-23T01:32:37.4469777Z [2022-11-23 01:20:31,710] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 177
2022-11-23T01:32:37.4470152Z [2022-11-23 01:20:34,258] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hp/chptn4yaamtbtvjuqfnetrzdccrrzn4wvquyeaywkokpydbwjzvv.py
2022-11-23T01:32:37.4470414Z [2022-11-23 01:20:34,258] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 177
2022-11-23T01:32:37.4470422Z 
2022-11-23T01:32:37.4470514Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4470582Z import torch
2022-11-23T01:32:37.4470650Z import random
2022-11-23T01:32:37.4470763Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4470883Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4470888Z 
2022-11-23T01:32:37.4470967Z aten = torch.ops.aten
2022-11-23T01:32:37.4471087Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4471177Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4471182Z 
2022-11-23T01:32:37.4471187Z 
2022-11-23T01:32:37.4471319Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4471524Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4471641Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.4471750Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.4471848Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.4471908Z {
2022-11-23T01:32:37.4471992Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4472052Z     {
2022-11-23T01:32:37.4472128Z         #pragma omp for 
2022-11-23T01:32:37.4472209Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:37.4472272Z         {
2022-11-23T01:32:37.4472335Z             {
2022-11-23T01:32:37.4472389Z                 {
2022-11-23T01:32:37.4472479Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.4472569Z                     auto tmp1 = in_ptr1[0];
2022-11-23T01:32:37.4472679Z                     auto tmp2 = std::fmod(tmp0, tmp1);
2022-11-23T01:32:37.4472763Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.4472828Z                 }
2022-11-23T01:32:37.4472891Z             }
2022-11-23T01:32:37.4472940Z         }
2022-11-23T01:32:37.4473000Z     }
2022-11-23T01:32:37.4473062Z }
2022-11-23T01:32:37.4473139Z ''')
2022-11-23T01:32:37.4473144Z 
2022-11-23T01:32:37.4473148Z 
2022-11-23T01:32:37.4473237Z async_compile.wait(globals())
2022-11-23T01:32:37.4473309Z del async_compile
2022-11-23T01:32:37.4473313Z 
2022-11-23T01:32:37.4473382Z def call(args):
2022-11-23T01:32:37.4473444Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.4473515Z     args.clear()
2022-11-23T01:32:37.4473710Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4473871Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.4473939Z     del arg0_1
2022-11-23T01:32:37.4474005Z     del arg1_1
2022-11-23T01:32:37.4474075Z     return (buf0, )
2022-11-23T01:32:37.4474080Z 
2022-11-23T01:32:37.4474084Z 
2022-11-23T01:32:37.4474159Z if __name__ == "__main__":
2022-11-23T01:32:37.4474258Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4474378Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4474662Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4474848Z     arg1_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4474962Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.4474967Z 
2022-11-23T01:32:37.4474971Z 
2022-11-23T01:32:37.4475064Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4475136Z import torch
2022-11-23T01:32:37.4475207Z import random
2022-11-23T01:32:37.4475345Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4475466Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4475471Z 
2022-11-23T01:32:37.4475550Z aten = torch.ops.aten
2022-11-23T01:32:37.4475686Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4475778Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4475784Z 
2022-11-23T01:32:37.4475788Z 
2022-11-23T01:32:37.4475920Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4476128Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4476247Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.4476337Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.4476440Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.4476500Z {
2022-11-23T01:32:37.4476597Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4476661Z     {
2022-11-23T01:32:37.4476737Z         #pragma omp for 
2022-11-23T01:32:37.4476819Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:37.4476868Z         {
2022-11-23T01:32:37.4476931Z             {
2022-11-23T01:32:37.4476994Z                 {
2022-11-23T01:32:37.4477083Z                     auto tmp0 = in_ptr0[0];
2022-11-23T01:32:37.4477318Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:37.4477431Z                     auto tmp2 = std::fmod(tmp0, tmp1);
2022-11-23T01:32:37.4477505Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.4477572Z                 }
2022-11-23T01:32:37.4477636Z             }
2022-11-23T01:32:37.4477699Z         }
2022-11-23T01:32:37.4477762Z     }
2022-11-23T01:32:37.4477823Z }
2022-11-23T01:32:37.4477904Z ''')
2022-11-23T01:32:37.4477908Z 
2022-11-23T01:32:37.4477913Z 
2022-11-23T01:32:37.4477989Z async_compile.wait(globals())
2022-11-23T01:32:37.4478062Z del async_compile
2022-11-23T01:32:37.4478067Z 
2022-11-23T01:32:37.4478140Z def call(args):
2022-11-23T01:32:37.4478217Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.4478290Z     args.clear()
2022-11-23T01:32:37.4478482Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4478646Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.4478715Z     del arg0_1
2022-11-23T01:32:37.4478768Z     del arg1_1
2022-11-23T01:32:37.4478840Z     return (buf0, )
2022-11-23T01:32:37.4478844Z 
2022-11-23T01:32:37.4478851Z 
2022-11-23T01:32:37.4478927Z if __name__ == "__main__":
2022-11-23T01:32:37.4479042Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4479162Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4479346Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4479536Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4479641Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.4479657Z 
2022-11-23T01:32:37.4479711Z ok (5.182s)
2022-11-23T01:32:37.4480017Z   test_full_like_cpu (__main__.CpuTests) ... [2022-11-23 01:20:34,270] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4480285Z [2022-11-23 01:20:34,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4480502Z [2022-11-23 01:20:34,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4480824Z [2022-11-23 01:20:34,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4481111Z [2022-11-23 01:20:34,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4481436Z [2022-11-23 01:20:34,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4481806Z [2022-11-23 01:20:34,271] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64238a0, file "inductor/test_torchinductor.py", line 2806> 
2022-11-23T01:32:37.4481905Z  2807           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.4481989Z                2 LOAD_METHOD              1 (full_like)
2022-11-23T01:32:37.4482081Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4482175Z                6 LOAD_CONST               1 (7.777)
2022-11-23T01:32:37.4482267Z                8 CALL_METHOD              2
2022-11-23T01:32:37.4482356Z               10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4482439Z               12 BINARY_SUBTRACT
2022-11-23T01:32:37.4482516Z               14 RETURN_VALUE
2022-11-23T01:32:37.4482563Z  
2022-11-23T01:32:37.4482569Z 
2022-11-23T01:32:37.4482838Z [2022-11-23 01:20:34,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2807
2022-11-23T01:32:37.4483056Z [2022-11-23 01:20:34,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.4483425Z [2022-11-23 01:20:34,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR full_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.4483752Z [2022-11-23 01:20:34,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method full_like of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.4484111Z [2022-11-23 01:20:34,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7.777 [TorchVariable(<built-in method full_like of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.4484510Z [2022-11-23 01:20:34,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method full_like of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.4484751Z [2022-11-23 01:20:34,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:37.4485038Z [2022-11-23 01:20:34,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4485282Z [2022-11-23 01:20:34,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.4485609Z [2022-11-23 01:20:34,280] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64238a0, file "inductor/test_torchinductor.py", line 2806>
2022-11-23T01:32:37.4485843Z [2022-11-23 01:20:34,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.4486079Z [2022-11-23 01:20:34,281] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4486331Z [2022-11-23 01:20:34,282] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4486580Z [2022-11-23 01:20:34,291] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4486765Z [2022-11-23 01:20:34,292] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4486899Z  __compiled_fn_179 <eval_with_key>.1138 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4486988Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4487233Z call_function, full_like, <built-in method full_like of type object at 0x7f71f2abebc0>, (ex_0_, 7.777), {}
2022-11-23T01:32:37.4487429Z call_function, sub, <built-in function sub>, (full_like, 1), {}
2022-11-23T01:32:37.4487524Z output, output, output, ((sub,),), {}
2022-11-23T01:32:37.4487530Z 
2022-11-23T01:32:37.4487805Z [2022-11-23 01:20:34,292] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4487897Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4487987Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4488103Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4488194Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4488270Z               8 RETURN_VALUE
2022-11-23T01:32:37.4488276Z 
2022-11-23T01:32:37.4488324Z  
2022-11-23T01:32:37.4488596Z [2022-11-23 01:20:34,292] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4488703Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_179)
2022-11-23T01:32:37.4488795Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4488883Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4488958Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4489044Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.4489133Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.4489194Z              12 RETURN_VALUE
2022-11-23T01:32:37.4489200Z 
2022-11-23T01:32:37.4489259Z  
2022-11-23T01:32:37.4489443Z [2022-11-23 01:20:34,294] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4489511Z  - 
2022-11-23T01:32:37.4489629Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4489692Z             {
2022-11-23T01:32:37.4489830Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4490004Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.4490121Z                 'obj_weakref': None
2022-11-23T01:32:37.4490343Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4490411Z             }
2022-11-23T01:32:37.4490474Z             
2022-11-23T01:32:37.4490542Z  - 
2022-11-23T01:32:37.4490667Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4490718Z             {
2022-11-23T01:32:37.4490862Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4490970Z                 'code': None,
2022-11-23T01:32:37.4491180Z                 'obj_weakref': <weakref at 0x7f7106390f50; to 'Tensor' at 0x7f7106dd0290>
2022-11-23T01:32:37.4491428Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4491496Z             }
2022-11-23T01:32:37.4491561Z             
2022-11-23T01:32:37.4491618Z  - 
2022-11-23T01:32:37.4491748Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4491812Z             {
2022-11-23T01:32:37.4491945Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4492116Z                 'code': ['___check_obj_id(model, 140123421916336)'],
2022-11-23T01:32:37.4492238Z                 'obj_weakref': None
2022-11-23T01:32:37.4492469Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4492519Z             }
2022-11-23T01:32:37.4492583Z             
2022-11-23T01:32:37.4492653Z  - 
2022-11-23T01:32:37.4492775Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4492838Z             {
2022-11-23T01:32:37.4492976Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4493194Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4493299Z                 'obj_weakref': None
2022-11-23T01:32:37.4493518Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4493582Z             }
2022-11-23T01:32:37.4493678Z             
2022-11-23T01:32:37.4493748Z  - 
2022-11-23T01:32:37.4493881Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.4493984Z             {
2022-11-23T01:32:37.4494092Z                 'guard_types': None,
2022-11-23T01:32:37.4494197Z                 'code': None,
2022-11-23T01:32:37.4494315Z                 'obj_weakref': None
2022-11-23T01:32:37.4494436Z                 'guarded_class': None
2022-11-23T01:32:37.4494500Z             }
2022-11-23T01:32:37.4494564Z             
2022-11-23T01:32:37.4494840Z [2022-11-23 01:20:34,308] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 178
2022-11-23T01:32:37.4495213Z [2022-11-23 01:20:36,861] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kg/ckgnk2gfxrhalmd7kzrv4lcug27hwm7awbrj3zrd262x43tris2u.py
2022-11-23T01:32:37.4495480Z [2022-11-23 01:20:36,862] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 178
2022-11-23T01:32:37.4495485Z 
2022-11-23T01:32:37.4495583Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4495652Z import torch
2022-11-23T01:32:37.4495726Z import random
2022-11-23T01:32:37.4495842Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4495964Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4495970Z 
2022-11-23T01:32:37.4496048Z aten = torch.ops.aten
2022-11-23T01:32:37.4496169Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4496262Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4496267Z 
2022-11-23T01:32:37.4496271Z 
2022-11-23T01:32:37.4496409Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4496612Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4496724Z extern "C" void kernel(float* __restrict__ out_ptr0)
2022-11-23T01:32:37.4496786Z {
2022-11-23T01:32:37.4496885Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4496934Z     {
2022-11-23T01:32:37.4497010Z         #pragma omp for 
2022-11-23T01:32:37.4497093Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.4497160Z         {
2022-11-23T01:32:37.4497222Z             {
2022-11-23T01:32:37.4497287Z                 {
2022-11-23T01:32:37.4497393Z                     auto tmp0 = static_cast<float>(7.777);
2022-11-23T01:32:37.4497485Z                     auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:37.4497625Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.4497708Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.4497772Z                 }
2022-11-23T01:32:37.4497836Z             }
2022-11-23T01:32:37.4497898Z         }
2022-11-23T01:32:37.4497962Z     }
2022-11-23T01:32:37.4498008Z }
2022-11-23T01:32:37.4498084Z ''')
2022-11-23T01:32:37.4498089Z 
2022-11-23T01:32:37.4498093Z 
2022-11-23T01:32:37.4498182Z async_compile.wait(globals())
2022-11-23T01:32:37.4498254Z del async_compile
2022-11-23T01:32:37.4498259Z 
2022-11-23T01:32:37.4498328Z def call(args):
2022-11-23T01:32:37.4498397Z     arg0_1, = args
2022-11-23T01:32:37.4498467Z     args.clear()
2022-11-23T01:32:37.4498647Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4498748Z     kernel_cpp_0(c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.4498819Z     return (buf0, )
2022-11-23T01:32:37.4498823Z 
2022-11-23T01:32:37.4498827Z 
2022-11-23T01:32:37.4498902Z if __name__ == "__main__":
2022-11-23T01:32:37.4499015Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4499134Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4499325Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4499430Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.4499435Z 
2022-11-23T01:32:37.4499488Z ok (2.603s)
2022-11-23T01:32:37.4499793Z   test_fuse_tiled_cpu (__main__.CpuTests) ... [2022-11-23 01:20:36,880] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4500065Z [2022-11-23 01:20:36,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4500312Z [2022-11-23 01:20:36,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4500561Z [2022-11-23 01:20:36,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4500845Z [2022-11-23 01:20:36,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4501197Z [2022-11-23 01:20:36,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4501520Z [2022-11-23 01:20:36,881] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6433f60, file "inductor/test_torchinductor.py", line 3428> 
2022-11-23T01:32:37.4501612Z  3429           0 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4501690Z                2 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4501764Z                4 BINARY_ADD
2022-11-23T01:32:37.4501853Z                6 LOAD_FAST                2 (c)
2022-11-23T01:32:37.4501940Z                8 LOAD_CONST               1 (1)
2022-11-23T01:32:37.4502011Z               10 BINARY_ADD
2022-11-23T01:32:37.4502099Z               12 BUILD_TUPLE              2
2022-11-23T01:32:37.4502173Z               14 RETURN_VALUE
2022-11-23T01:32:37.4502220Z  
2022-11-23T01:32:37.4502225Z 
2022-11-23T01:32:37.4502495Z [2022-11-23 01:20:36,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3429
2022-11-23T01:32:37.4502702Z [2022-11-23 01:20:36,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.4502937Z [2022-11-23 01:20:36,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:37.4503207Z [2022-11-23 01:20:36,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4503440Z [2022-11-23 01:20:36,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable()]
2022-11-23T01:32:37.4503704Z [2022-11-23 01:20:36,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4504011Z [2022-11-23 01:20:36,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4504278Z [2022-11-23 01:20:36,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4504607Z [2022-11-23 01:20:36,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4504928Z [2022-11-23 01:20:36,888] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6433f60, file "inductor/test_torchinductor.py", line 3428>
2022-11-23T01:32:37.4505173Z [2022-11-23 01:20:36,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4505411Z [2022-11-23 01:20:36,888] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4505665Z [2022-11-23 01:20:36,891] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4505913Z [2022-11-23 01:20:36,904] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4506103Z [2022-11-23 01:20:36,904] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4506243Z  __compiled_fn_180 <eval_with_key>.1144 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4506333Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4506406Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.4506491Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.4506670Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.4506843Z call_function, add_1, <built-in function add>, (ex_2_, 1), {}
2022-11-23T01:32:37.4506993Z output, output, output, ((add, add_1),), {}
2022-11-23T01:32:37.4506998Z 
2022-11-23T01:32:37.4507274Z [2022-11-23 01:20:36,905] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4507366Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4507454Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4507534Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4507650Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4507727Z               8 RETURN_VALUE
2022-11-23T01:32:37.4507732Z 
2022-11-23T01:32:37.4507791Z  
2022-11-23T01:32:37.4508065Z [2022-11-23 01:20:36,905] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4508171Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_180)
2022-11-23T01:32:37.4508259Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4508349Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4508414Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4508504Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4508590Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4508665Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.4508751Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4508836Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.4508915Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.4508991Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.4509092Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4509192Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4509277Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4509352Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.4509451Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4509539Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4509600Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.4509686Z              36 BUILD_TUPLE              2
2022-11-23T01:32:37.4509760Z              38 RETURN_VALUE
2022-11-23T01:32:37.4509765Z 
2022-11-23T01:32:37.4509824Z  
2022-11-23T01:32:37.4510005Z [2022-11-23 01:20:36,907] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4510072Z  - 
2022-11-23T01:32:37.4510189Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4510241Z             {
2022-11-23T01:32:37.4510380Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4510563Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 3'],
2022-11-23T01:32:37.4510681Z                 'obj_weakref': None
2022-11-23T01:32:37.4510903Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4510966Z             }
2022-11-23T01:32:37.4511028Z             
2022-11-23T01:32:37.4511086Z  - 
2022-11-23T01:32:37.4511207Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4511269Z             {
2022-11-23T01:32:37.4511410Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4511516Z                 'code': None,
2022-11-23T01:32:37.4511721Z                 'obj_weakref': <weakref at 0x7f7106a200b0; to 'Tensor' at 0x7f7106ba6770>
2022-11-23T01:32:37.4511970Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4512021Z             }
2022-11-23T01:32:37.4512084Z             
2022-11-23T01:32:37.4512151Z  - 
2022-11-23T01:32:37.4512271Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.4512334Z             {
2022-11-23T01:32:37.4512474Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4512578Z                 'code': None,
2022-11-23T01:32:37.4512768Z                 'obj_weakref': <weakref at 0x7f7106a203b0; to 'Tensor' at 0x7f710671c110>
2022-11-23T01:32:37.4513044Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4513106Z             }
2022-11-23T01:32:37.4513168Z             
2022-11-23T01:32:37.4513235Z  - 
2022-11-23T01:32:37.4513355Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.4513418Z             {
2022-11-23T01:32:37.4513543Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4513646Z                 'code': None,
2022-11-23T01:32:37.4513880Z                 'obj_weakref': <weakref at 0x7f70f2e3a890; to 'Tensor' at 0x7f710671c470>
2022-11-23T01:32:37.4514120Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4514184Z             }
2022-11-23T01:32:37.4514246Z             
2022-11-23T01:32:37.4514314Z  - 
2022-11-23T01:32:37.4514432Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4514494Z             {
2022-11-23T01:32:37.4514627Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4514795Z                 'code': ['___check_obj_id(model, 140123418423520)'],
2022-11-23T01:32:37.4514913Z                 'obj_weakref': None
2022-11-23T01:32:37.4515140Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4515203Z             }
2022-11-23T01:32:37.4515253Z             
2022-11-23T01:32:37.4515323Z  - 
2022-11-23T01:32:37.4515444Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4515507Z             {
2022-11-23T01:32:37.4515640Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4515857Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4515975Z                 'obj_weakref': None
2022-11-23T01:32:37.4516179Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4516240Z             }
2022-11-23T01:32:37.4516305Z             
2022-11-23T01:32:37.4516562Z [2022-11-23 01:20:36,922] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 179
2022-11-23T01:32:37.4516932Z [2022-11-23 01:20:39,499] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ex/cexea44p5ndy2qlpli37ihbg4dtlgcfundynawwvvseqotxblq6m.py
2022-11-23T01:32:37.4517332Z [2022-11-23 01:20:39,500] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 179
2022-11-23T01:32:37.4517341Z 
2022-11-23T01:32:37.4517438Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4517508Z import torch
2022-11-23T01:32:37.4517564Z import random
2022-11-23T01:32:37.4517680Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4517802Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4517806Z 
2022-11-23T01:32:37.4517885Z aten = torch.ops.aten
2022-11-23T01:32:37.4518020Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4518114Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4518120Z 
2022-11-23T01:32:37.4518124Z 
2022-11-23T01:32:37.4518258Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4518461Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4518567Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.4518670Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.4518776Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.4518875Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.4518976Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.4519038Z {
2022-11-23T01:32:37.4519136Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4519185Z     {
2022-11-23T01:32:37.4519263Z         #pragma omp for 
2022-11-23T01:32:37.4519347Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.4519411Z         {
2022-11-23T01:32:37.4519567Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:37.4519632Z             {
2022-11-23T01:32:37.4519765Z                 auto tmp0 = at::vec::Vectorized<float>(in_ptr0[i0]);
2022-11-23T01:32:37.4519900Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i1);
2022-11-23T01:32:37.4519976Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4520080Z                 tmp2.store(out_ptr0 + (16*i1) + (128*i0));
2022-11-23T01:32:37.4520145Z             }
2022-11-23T01:32:37.4520272Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.4520362Z             for(long i1=128; i1<128; i1+=1)
2022-11-23T01:32:37.4520427Z             {
2022-11-23T01:32:37.4520514Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.4520587Z                 auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:37.4520672Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4520764Z                 out_ptr0[i1 + (128*i0)] = tmp2;
2022-11-23T01:32:37.4520826Z             }
2022-11-23T01:32:37.4520891Z         }
2022-11-23T01:32:37.4520972Z         #pragma omp for 
2022-11-23T01:32:37.4521042Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:37.4521103Z         {
2022-11-23T01:32:37.4521234Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr2 + 16*i0);
2022-11-23T01:32:37.4521365Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.4521450Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4521544Z             tmp2.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.4521606Z         }
2022-11-23T01:32:37.4521699Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.4521774Z         for(long i0=16384; i0<16384; i0+=1)
2022-11-23T01:32:37.4521835Z         {
2022-11-23T01:32:37.4521917Z             auto tmp0 = in_ptr2[i0];
2022-11-23T01:32:37.4522014Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:37.4522096Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4522176Z             out_ptr1[i0] = tmp2;
2022-11-23T01:32:37.4522241Z         }
2022-11-23T01:32:37.4522290Z     }
2022-11-23T01:32:37.4522349Z }
2022-11-23T01:32:37.4522428Z ''')
2022-11-23T01:32:37.4522433Z 
2022-11-23T01:32:37.4522437Z 
2022-11-23T01:32:37.4522525Z async_compile.wait(globals())
2022-11-23T01:32:37.4522596Z del async_compile
2022-11-23T01:32:37.4522602Z 
2022-11-23T01:32:37.4522672Z def call(args):
2022-11-23T01:32:37.4522754Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.4522811Z     args.clear()
2022-11-23T01:32:37.4523017Z     buf0 = empty_strided((128, 128), (128, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4523224Z     buf1 = empty_strided((128, 128), (128, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4523433Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.4523500Z     del arg0_1
2022-11-23T01:32:37.4523566Z     del arg1_1
2022-11-23T01:32:37.4523633Z     del arg2_1
2022-11-23T01:32:37.4523698Z     return (buf0, buf1, )
2022-11-23T01:32:37.4523703Z 
2022-11-23T01:32:37.4523720Z 
2022-11-23T01:32:37.4523783Z if __name__ == "__main__":
2022-11-23T01:32:37.4523895Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4524016Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4524212Z     arg0_1 = rand_strided((128, 1), (1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4524412Z     arg1_1 = rand_strided((1, 128), (128, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4524610Z     arg2_1 = rand_strided((128, 128), (128, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4524729Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.4524735Z 
2022-11-23T01:32:37.4524801Z ok (2.655s)
2022-11-23T01:32:37.4525093Z   test_gather1_cpu (__main__.CpuTests) ... [2022-11-23 01:20:39,529] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4525398Z [2022-11-23 01:20:39,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4525613Z [2022-11-23 01:20:39,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4525867Z [2022-11-23 01:20:39,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4526177Z [2022-11-23 01:20:39,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4526502Z [2022-11-23 01:20:39,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4526827Z [2022-11-23 01:20:39,530] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f647fc90, file "inductor/test_torchinductor.py", line 1649> 
2022-11-23T01:32:37.4526922Z  1651           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.4527016Z                2 LOAD_METHOD              1 (gather)
2022-11-23T01:32:37.4527094Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4527186Z                6 LOAD_METHOD              2 (expand)
2022-11-23T01:32:37.4527274Z                8 LOAD_CONST               1 (4)
2022-11-23T01:32:37.4527362Z               10 LOAD_CONST               2 (5)
2022-11-23T01:32:37.4527455Z               12 LOAD_CONST               3 (10)
2022-11-23T01:32:37.4527545Z               14 LOAD_CONST               4 (6)
2022-11-23T01:32:37.4527635Z               16 BUILD_LIST               4
2022-11-23T01:32:37.4527711Z               18 CALL_METHOD              1
2022-11-23T01:32:37.4527799Z               20 LOAD_CONST               5 (3)
2022-11-23T01:32:37.4527888Z               22 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4527973Z               24 LOAD_CONST               6 (1)
2022-11-23T01:32:37.4528050Z               26 BINARY_ADD
2022-11-23T01:32:37.4528138Z               28 CALL_METHOD              3
2022-11-23T01:32:37.4528145Z 
2022-11-23T01:32:37.4528240Z 1652          30 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.4528322Z               32 LOAD_METHOD              1 (gather)
2022-11-23T01:32:37.4528410Z               34 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4528506Z               36 LOAD_METHOD              2 (expand)
2022-11-23T01:32:37.4528593Z               38 LOAD_CONST               1 (4)
2022-11-23T01:32:37.4528682Z               40 LOAD_CONST               2 (5)
2022-11-23T01:32:37.4528773Z               42 LOAD_CONST               3 (10)
2022-11-23T01:32:37.4528859Z               44 LOAD_CONST               4 (6)
2022-11-23T01:32:37.4528947Z               46 BUILD_LIST               4
2022-11-23T01:32:37.4529022Z               48 CALL_METHOD              1
2022-11-23T01:32:37.4529161Z               50 LOAD_CONST               7 (-1)
2022-11-23T01:32:37.4529249Z               52 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4529337Z               54 LOAD_CONST               6 (1)
2022-11-23T01:32:37.4529412Z               56 BINARY_ADD
2022-11-23T01:32:37.4529500Z               58 CALL_METHOD              3
2022-11-23T01:32:37.4529587Z               60 BUILD_TUPLE              2
2022-11-23T01:32:37.4529650Z               62 RETURN_VALUE
2022-11-23T01:32:37.4529711Z  
2022-11-23T01:32:37.4529715Z 
2022-11-23T01:32:37.4529990Z [2022-11-23 01:20:39,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1651
2022-11-23T01:32:37.4530213Z [2022-11-23 01:20:39,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.4530582Z [2022-11-23 01:20:39,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.4530907Z [2022-11-23 01:20:39,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.4531294Z [2022-11-23 01:20:39,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.4531684Z [2022-11-23 01:20:39,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:37.4532143Z [2022-11-23 01:20:39,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:32:37.4532611Z [2022-11-23 01:20:39,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.4533116Z [2022-11-23 01:20:39,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.4533659Z [2022-11-23 01:20:39,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.4534083Z [2022-11-23 01:20:39,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), GetAttrVariable(TensorVariable(), expand), ListVariable()]
2022-11-23T01:32:37.4534417Z [2022-11-23 01:20:39,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.4534804Z [2022-11-23 01:20:39,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4535221Z [2022-11-23 01:20:39,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.4535685Z [2022-11-23 01:20:39,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4536109Z [2022-11-23 01:20:39,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.4536380Z [2022-11-23 01:20:39,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1652
2022-11-23T01:32:37.4536632Z [2022-11-23 01:20:39,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.4537028Z [2022-11-23 01:20:39,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.4537378Z [2022-11-23 01:20:39,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.4537764Z [2022-11-23 01:20:39,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.4538183Z [2022-11-23 01:20:39,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:37.4538672Z [2022-11-23 01:20:39,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:32:37.4539197Z [2022-11-23 01:20:39,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.4539728Z [2022-11-23 01:20:39,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.4540297Z [2022-11-23 01:20:39,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.4540746Z [2022-11-23 01:20:39,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), GetAttrVariable(TensorVariable(), expand), ListVariable()]
2022-11-23T01:32:37.4541127Z [2022-11-23 01:20:39,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.4541527Z [2022-11-23 01:20:39,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4541972Z [2022-11-23 01:20:39,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.4542463Z [2022-11-23 01:20:39,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4542911Z [2022-11-23 01:20:39,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.4543177Z [2022-11-23 01:20:39,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4543425Z [2022-11-23 01:20:39,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4543754Z [2022-11-23 01:20:39,546] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f647fc90, file "inductor/test_torchinductor.py", line 1649>
2022-11-23T01:32:37.4544000Z [2022-11-23 01:20:39,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4544233Z [2022-11-23 01:20:39,546] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4544571Z [2022-11-23 01:20:39,548] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4544826Z [2022-11-23 01:20:39,560] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4545019Z [2022-11-23 01:20:39,561] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4545175Z  __compiled_fn_181 <eval_with_key>.1150 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4545268Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4545357Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.4545467Z call_method, expand, expand, (ex_0_, [4, 5, 10, 6]), {}
2022-11-23T01:32:37.4545638Z call_function, add, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:37.4545924Z call_function, gather, <built-in method gather of type object at 0x7f71f2abebc0>, (expand, 3, add), {}
2022-11-23T01:32:37.4546036Z call_method, expand_1, expand, (ex_0_, [4, 5, 10, 6]), {}
2022-11-23T01:32:37.4546196Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:37.4546449Z call_function, gather_1, <built-in method gather of type object at 0x7f71f2abebc0>, (expand_1, -1, add_1), {}
2022-11-23T01:32:37.4546559Z output, output, output, ((gather, gather_1),), {}
2022-11-23T01:32:37.4546565Z 
2022-11-23T01:32:37.4546843Z [2022-11-23 01:20:39,561] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4546936Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4547025Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4547117Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4547207Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4547271Z               8 RETURN_VALUE
2022-11-23T01:32:37.4547290Z 
2022-11-23T01:32:37.4547339Z  
2022-11-23T01:32:37.4547615Z [2022-11-23 01:20:39,562] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4547720Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_181)
2022-11-23T01:32:37.4547809Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4547897Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4547973Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4548063Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4548137Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4548211Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.4548300Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.4548403Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4548504Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4548593Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4548668Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.4548754Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4548841Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4548915Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.4549002Z              30 BUILD_TUPLE              2
2022-11-23T01:32:37.4549076Z              32 RETURN_VALUE
2022-11-23T01:32:37.4549081Z 
2022-11-23T01:32:37.4549141Z  
2022-11-23T01:32:37.4549324Z [2022-11-23 01:20:39,563] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4549380Z  - 
2022-11-23T01:32:37.4549498Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4549562Z             {
2022-11-23T01:32:37.4549699Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4549884Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.4550002Z                 'obj_weakref': None
2022-11-23T01:32:37.4550226Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4550278Z             }
2022-11-23T01:32:37.4550340Z             
2022-11-23T01:32:37.4550408Z  - 
2022-11-23T01:32:37.4550530Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4550592Z             {
2022-11-23T01:32:37.4550733Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4550839Z                 'code': None,
2022-11-23T01:32:37.4551034Z                 'obj_weakref': <weakref at 0x7f7106a20ad0; to 'Tensor' at 0x7f7106a1e410>
2022-11-23T01:32:37.4551311Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4551374Z             }
2022-11-23T01:32:37.4551440Z             
2022-11-23T01:32:37.4551508Z  - 
2022-11-23T01:32:37.4551628Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.4551691Z             {
2022-11-23T01:32:37.4551819Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4551952Z                 'code': None,
2022-11-23T01:32:37.4552156Z                 'obj_weakref': <weakref at 0x7f710671c050; to 'Tensor' at 0x7f7106a1e0b0>
2022-11-23T01:32:37.4552396Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4552460Z             }
2022-11-23T01:32:37.4552521Z             
2022-11-23T01:32:37.4552590Z  - 
2022-11-23T01:32:37.4552707Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4552770Z             {
2022-11-23T01:32:37.4552903Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4553070Z                 'code': ['___check_obj_id(model, 140123421266144)'],
2022-11-23T01:32:37.4553187Z                 'obj_weakref': None
2022-11-23T01:32:37.4553410Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4553474Z             }
2022-11-23T01:32:37.4553522Z             
2022-11-23T01:32:37.4553592Z  - 
2022-11-23T01:32:37.4553714Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4553777Z             {
2022-11-23T01:32:37.4553911Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4554125Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4554241Z                 'obj_weakref': None
2022-11-23T01:32:37.4554447Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4554511Z             }
2022-11-23T01:32:37.4554572Z             
2022-11-23T01:32:37.4554640Z  - 
2022-11-23T01:32:37.4554772Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.4554840Z             {
2022-11-23T01:32:37.4554956Z                 'guard_types': None,
2022-11-23T01:32:37.4555048Z                 'code': None,
2022-11-23T01:32:37.4555162Z                 'obj_weakref': None
2022-11-23T01:32:37.4555281Z                 'guarded_class': None
2022-11-23T01:32:37.4555345Z             }
2022-11-23T01:32:37.4555408Z             
2022-11-23T01:32:37.4555669Z [2022-11-23 01:20:39,579] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 180
2022-11-23T01:32:37.4556035Z [2022-11-23 01:20:42,121] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bz/cbz2taoax5gtgg4ywnk7eyhg3i3vyeo4v6x5nwtu7byp6ih7sugm.py
2022-11-23T01:32:37.4556299Z [2022-11-23 01:20:42,122] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 180
2022-11-23T01:32:37.4556307Z 
2022-11-23T01:32:37.4556388Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4556455Z import torch
2022-11-23T01:32:37.4556522Z import random
2022-11-23T01:32:37.4556636Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4556755Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4556760Z 
2022-11-23T01:32:37.4556837Z aten = torch.ops.aten
2022-11-23T01:32:37.4556972Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4557050Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4557067Z 
2022-11-23T01:32:37.4557071Z 
2022-11-23T01:32:37.4557319Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4557525Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4557645Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:37.4557752Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.4557918Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.4558016Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.4558077Z {
2022-11-23T01:32:37.4558162Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4558224Z     {
2022-11-23T01:32:37.4558304Z         #pragma omp for 
2022-11-23T01:32:37.4558387Z         for(long i0=0; i0<20; i0+=1)
2022-11-23T01:32:37.4558452Z         {
2022-11-23T01:32:37.4558570Z             #pragma GCC ivdep
2022-11-23T01:32:37.4558659Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:37.4558709Z             {
2022-11-23T01:32:37.4558778Z                 {
2022-11-23T01:32:37.4558846Z                     {
2022-11-23T01:32:37.4558950Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:37.4559051Z                         auto tmp1 = static_cast<long>(1);
2022-11-23T01:32:37.4559145Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4559249Z                         auto tmp3 = in_ptr1[tmp2 + (6*i1)];
2022-11-23T01:32:37.4559334Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:37.4559427Z                         out_ptr1[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:37.4559492Z                     }
2022-11-23T01:32:37.4559556Z                 }
2022-11-23T01:32:37.4559621Z             }
2022-11-23T01:32:37.4559684Z         }
2022-11-23T01:32:37.4559745Z     }
2022-11-23T01:32:37.4559792Z }
2022-11-23T01:32:37.4559872Z ''')
2022-11-23T01:32:37.4559879Z 
2022-11-23T01:32:37.4559883Z 
2022-11-23T01:32:37.4559972Z async_compile.wait(globals())
2022-11-23T01:32:37.4560042Z del async_compile
2022-11-23T01:32:37.4560047Z 
2022-11-23T01:32:37.4560115Z def call(args):
2022-11-23T01:32:37.4560190Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.4560259Z     args.clear()
2022-11-23T01:32:37.4560463Z     buf0 = empty_strided((4, 5, 10, 1), (50, 10, 1, 200), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4560676Z     buf1 = empty_strided((4, 5, 10, 1), (50, 10, 1, 200), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4560867Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.4560935Z     del arg0_1
2022-11-23T01:32:37.4560999Z     del arg1_1
2022-11-23T01:32:37.4561076Z     return (buf0, buf1, )
2022-11-23T01:32:37.4561080Z 
2022-11-23T01:32:37.4561085Z 
2022-11-23T01:32:37.4561164Z if __name__ == "__main__":
2022-11-23T01:32:37.4561278Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4561388Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4561598Z     arg0_1 = rand_strided((1, 1, 10, 6), (60, 60, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4561804Z     arg1_1 = rand_strided((4, 5, 10, 1), (50, 10, 1, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.4561917Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.4561921Z 
2022-11-23T01:32:37.4561987Z ok (2.606s)
2022-11-23T01:32:37.4562098Z   test_gather2_cpu (__main__.CpuTests) ... ok (0.003s)
2022-11-23T01:32:37.4562415Z   test_gather_scatter_cpu (__main__.CpuTests) ... [2022-11-23 01:20:42,138] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4562685Z [2022-11-23 01:20:42,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4562889Z [2022-11-23 01:20:42,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4563139Z [2022-11-23 01:20:42,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4563422Z [2022-11-23 01:20:42,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4563744Z [2022-11-23 01:20:42,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4564117Z [2022-11-23 01:20:42,139] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6415c00, file "inductor/test_torchinductor.py", line 2376> 
2022-11-23T01:32:37.4564216Z  2377           0 LOAD_FAST                0 (node_feat)
2022-11-23T01:32:37.4564314Z                2 LOAD_FAST                1 (edge_index)
2022-11-23T01:32:37.4564403Z                4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4564480Z                6 BINARY_SUBSCR
2022-11-23T01:32:37.4564572Z                8 BINARY_SUBSCR
2022-11-23T01:32:37.4564679Z               10 STORE_FAST               2 (src_node_feat)
2022-11-23T01:32:37.4564685Z 
2022-11-23T01:32:37.4564782Z 2378          12 LOAD_FAST                0 (node_feat)
2022-11-23T01:32:37.4564880Z               14 LOAD_FAST                1 (edge_index)
2022-11-23T01:32:37.4564970Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4565048Z               18 BINARY_SUBSCR
2022-11-23T01:32:37.4565125Z               20 BINARY_SUBSCR
2022-11-23T01:32:37.4565216Z               22 STORE_FAST               3 (dst_node_feat)
2022-11-23T01:32:37.4565234Z 
2022-11-23T01:32:37.4565322Z 2379          24 LOAD_FAST                2 (src_node_feat)
2022-11-23T01:32:37.4565420Z               26 LOAD_FAST                3 (dst_node_feat)
2022-11-23T01:32:37.4565498Z               28 BINARY_SUBTRACT
2022-11-23T01:32:37.4565585Z               30 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4565660Z               32 BINARY_ADD
2022-11-23T01:32:37.4565755Z               34 STORE_FAST               4 (edge_feat)
2022-11-23T01:32:37.4565760Z 
2022-11-23T01:32:37.4565853Z 2380          36 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.4565938Z               38 LOAD_METHOD              1 (zeros_like)
2022-11-23T01:32:37.4566031Z               40 LOAD_FAST                0 (node_feat)
2022-11-23T01:32:37.4566118Z               42 CALL_METHOD              1
2022-11-23T01:32:37.4566217Z               44 STORE_FAST               5 (new_node_feat)
2022-11-23T01:32:37.4566224Z 
2022-11-23T01:32:37.4566321Z 2381          46 LOAD_FAST                5 (new_node_feat)
2022-11-23T01:32:37.4566421Z               48 LOAD_METHOD              2 (scatter_add_)
2022-11-23T01:32:37.4566426Z 
2022-11-23T01:32:37.4566513Z 2382          50 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4566609Z               52 LOAD_FAST                1 (edge_index)
2022-11-23T01:32:37.4566683Z               54 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4566760Z               56 BINARY_SUBSCR
2022-11-23T01:32:37.4566857Z               58 LOAD_METHOD              3 (unsqueeze)
2022-11-23T01:32:37.4566993Z               60 LOAD_CONST               3 (-1)
2022-11-23T01:32:37.4567079Z               62 CALL_METHOD              1
2022-11-23T01:32:37.4567178Z               64 LOAD_METHOD              4 (expand_as)
2022-11-23T01:32:37.4567270Z               66 LOAD_FAST                4 (edge_feat)
2022-11-23T01:32:37.4567342Z               68 CALL_METHOD              1
2022-11-23T01:32:37.4567434Z               70 LOAD_FAST                4 (edge_feat)
2022-11-23T01:32:37.4567520Z               72 CALL_METHOD              3
2022-11-23T01:32:37.4567592Z               74 POP_TOP
2022-11-23T01:32:37.4567598Z 
2022-11-23T01:32:37.4567695Z 2384          76 LOAD_FAST                5 (new_node_feat)
2022-11-23T01:32:37.4567770Z               78 RETURN_VALUE
2022-11-23T01:32:37.4567830Z  
2022-11-23T01:32:37.4567835Z 
2022-11-23T01:32:37.4568108Z [2022-11-23 01:20:42,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2377
2022-11-23T01:32:37.4568318Z [2022-11-23 01:20:42,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST node_feat []
2022-11-23T01:32:37.4568568Z [2022-11-23 01:20:42,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_index [TensorVariable()]
2022-11-23T01:32:37.4568834Z [2022-11-23 01:20:42,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4569178Z [2022-11-23 01:20:42,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4569452Z [2022-11-23 01:20:42,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4569702Z [2022-11-23 01:20:42,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST src_node_feat [TensorVariable()]
2022-11-23T01:32:37.4570031Z [2022-11-23 01:20:42,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2378
2022-11-23T01:32:37.4570251Z [2022-11-23 01:20:42,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST node_feat []
2022-11-23T01:32:37.4570499Z [2022-11-23 01:20:42,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_index [TensorVariable()]
2022-11-23T01:32:37.4570762Z [2022-11-23 01:20:42,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4571064Z [2022-11-23 01:20:42,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4571340Z [2022-11-23 01:20:42,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4571595Z [2022-11-23 01:20:42,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST dst_node_feat [TensorVariable()]
2022-11-23T01:32:37.4571859Z [2022-11-23 01:20:42,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2379
2022-11-23T01:32:37.4572084Z [2022-11-23 01:20:42,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST src_node_feat []
2022-11-23T01:32:37.4572336Z [2022-11-23 01:20:42,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dst_node_feat [TensorVariable()]
2022-11-23T01:32:37.4572614Z [2022-11-23 01:20:42,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4572855Z [2022-11-23 01:20:42,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:37.4573130Z [2022-11-23 01:20:42,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4573365Z [2022-11-23 01:20:42,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST edge_feat [TensorVariable()]
2022-11-23T01:32:37.4573632Z [2022-11-23 01:20:42,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2380
2022-11-23T01:32:37.4573850Z [2022-11-23 01:20:42,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.4574219Z [2022-11-23 01:20:42,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.4574555Z [2022-11-23 01:20:42,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST node_feat [TorchVariable(<built-in method zeros_like of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.4574917Z [2022-11-23 01:20:42,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method zeros_like of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.4575176Z [2022-11-23 01:20:42,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST new_node_feat [TensorVariable()]
2022-11-23T01:32:37.4575443Z [2022-11-23 01:20:42,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2381
2022-11-23T01:32:37.4575667Z [2022-11-23 01:20:42,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST new_node_feat []
2022-11-23T01:32:37.4575919Z [2022-11-23 01:20:42,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_add_ [TensorVariable()]
2022-11-23T01:32:37.4576182Z [2022-11-23 01:20:42,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2382
2022-11-23T01:32:37.4576490Z [2022-11-23 01:20:42,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [GetAttrVariable(TensorVariable(), scatter_add_)]
2022-11-23T01:32:37.4576825Z [2022-11-23 01:20:42,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_index [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int)]
2022-11-23T01:32:37.4577199Z [2022-11-23 01:20:42,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.4577601Z [2022-11-23 01:20:42,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4577961Z [2022-11-23 01:20:42,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.4578367Z [2022-11-23 01:20:42,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), unsqueeze)]
2022-11-23T01:32:37.4578811Z [2022-11-23 01:20:42,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), unsqueeze), ConstantVariable(int)]
2022-11-23T01:32:37.4579173Z [2022-11-23 01:20:42,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand_as [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.4579583Z [2022-11-23 01:20:42,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_feat [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), expand_as)]
2022-11-23T01:32:37.4580019Z [2022-11-23 01:20:42,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), expand_as), TensorVariable()]
2022-11-23T01:32:37.4580385Z [2022-11-23 01:20:42,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_feat [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.4580768Z [2022-11-23 01:20:42,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4581012Z [2022-11-23 01:20:42,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:37.4581263Z [2022-11-23 01:20:42,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2384
2022-11-23T01:32:37.4581490Z [2022-11-23 01:20:42,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST new_node_feat []
2022-11-23T01:32:37.4581738Z [2022-11-23 01:20:42,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.4582072Z [2022-11-23 01:20:42,165] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6415c00, file "inductor/test_torchinductor.py", line 2376>
2022-11-23T01:32:37.4582319Z [2022-11-23 01:20:42,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.4582554Z [2022-11-23 01:20:42,166] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4582808Z [2022-11-23 01:20:42,191] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4583060Z [2022-11-23 01:20:42,206] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4583250Z [2022-11-23 01:20:42,207] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4583401Z  __compiled_fn_182 <eval_with_key>.1156 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4583491Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4583575Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.4583763Z call_function, getitem, <built-in function getitem>, (ex_1_, 0), {}
2022-11-23T01:32:37.4583962Z call_function, getitem_1, <built-in function getitem>, (ex_0_, getitem), {}
2022-11-23T01:32:37.4584174Z call_function, getitem_2, <built-in function getitem>, (ex_1_, 1), {}
2022-11-23T01:32:37.4584378Z call_function, getitem_3, <built-in function getitem>, (ex_0_, getitem_2), {}
2022-11-23T01:32:37.4584656Z call_function, sub, <built-in function sub>, (getitem_1, getitem_3), {}
2022-11-23T01:32:37.4584813Z call_function, add, <built-in function add>, (sub, 1), {}
2022-11-23T01:32:37.4585058Z call_function, zeros_like, <built-in method zeros_like of type object at 0x7f71f2abebc0>, (ex_0_,), {}
2022-11-23T01:32:37.4585246Z call_function, getitem_4, <built-in function getitem>, (ex_1_, 1), {}
2022-11-23T01:32:37.4585417Z call_method, unsqueeze, unsqueeze, (getitem_4, -1), {}
2022-11-23T01:32:37.4585538Z call_method, expand_as, expand_as, (unsqueeze, add), {}
2022-11-23T01:32:37.4585678Z call_method, scatter_add_, scatter_add_, (zeros_like, 0, expand_as, add), {}
2022-11-23T01:32:37.4585784Z output, output, output, ((zeros_like,),), {}
2022-11-23T01:32:37.4585790Z 
2022-11-23T01:32:37.4586071Z [2022-11-23 01:20:42,207] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4586153Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4586244Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4586337Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4586427Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4586504Z               8 RETURN_VALUE
2022-11-23T01:32:37.4586509Z 
2022-11-23T01:32:37.4586571Z  
2022-11-23T01:32:37.4586849Z [2022-11-23 01:20:42,207] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4586958Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_182)
2022-11-23T01:32:37.4587034Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4587121Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4587198Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4587286Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4587374Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4587448Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.4587535Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.4587614Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.4587687Z              18 RETURN_VALUE
2022-11-23T01:32:37.4587693Z 
2022-11-23T01:32:37.4587752Z  
2022-11-23T01:32:37.4587932Z [2022-11-23 01:20:42,208] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4588004Z  - 
2022-11-23T01:32:37.4588120Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4588184Z             {
2022-11-23T01:32:37.4588312Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4588495Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.4588613Z                 'obj_weakref': None
2022-11-23T01:32:37.4588835Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4588900Z             }
2022-11-23T01:32:37.4588962Z             
2022-11-23T01:32:37.4589029Z  - 
2022-11-23T01:32:37.4589139Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4589202Z             {
2022-11-23T01:32:37.4589343Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4589447Z                 'code': None,
2022-11-23T01:32:37.4589653Z                 'obj_weakref': <weakref at 0x7f7106717110; to 'Tensor' at 0x7f710674b350>
2022-11-23T01:32:37.4589942Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4590007Z             }
2022-11-23T01:32:37.4590058Z             
2022-11-23T01:32:37.4590125Z  - 
2022-11-23T01:32:37.4590246Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.4590309Z             {
2022-11-23T01:32:37.4590448Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4590557Z                 'code': None,
2022-11-23T01:32:37.4590791Z                 'obj_weakref': <weakref at 0x7f7106c60710; to 'Tensor' at 0x7f7106a1e0b0>
2022-11-23T01:32:37.4591024Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4591086Z             }
2022-11-23T01:32:37.4591148Z             
2022-11-23T01:32:37.4591215Z  - 
2022-11-23T01:32:37.4591344Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4591405Z             {
2022-11-23T01:32:37.4591536Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4591693Z                 'code': ['___check_obj_id(model, 140126569038192)'],
2022-11-23T01:32:37.4591810Z                 'obj_weakref': None
2022-11-23T01:32:37.4592037Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4592099Z             }
2022-11-23T01:32:37.4592163Z             
2022-11-23T01:32:37.4592231Z  - 
2022-11-23T01:32:37.4592351Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4592402Z             {
2022-11-23T01:32:37.4592535Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4592751Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4592867Z                 'obj_weakref': None
2022-11-23T01:32:37.4593086Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4593150Z             }
2022-11-23T01:32:37.4593211Z             
2022-11-23T01:32:37.4593268Z  - 
2022-11-23T01:32:37.4593401Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.4593462Z             {
2022-11-23T01:32:37.4593580Z                 'guard_types': None,
2022-11-23T01:32:37.4593684Z                 'code': None,
2022-11-23T01:32:37.4593800Z                 'obj_weakref': None
2022-11-23T01:32:37.4593919Z                 'guarded_class': None
2022-11-23T01:32:37.4593969Z             }
2022-11-23T01:32:37.4594030Z             
2022-11-23T01:32:37.4594292Z [2022-11-23 01:20:42,231] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 181
2022-11-23T01:32:37.4594659Z [2022-11-23 01:20:44,780] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kz/ckzrulvbhj65jf7y6a2joqfclyfegx73hfhcwvoel2kxbh5dpsbm.py
2022-11-23T01:32:37.4594922Z [2022-11-23 01:20:44,781] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 181
2022-11-23T01:32:37.4594928Z 
2022-11-23T01:32:37.4595022Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4595090Z import torch
2022-11-23T01:32:37.4595158Z import random
2022-11-23T01:32:37.4595259Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4595381Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4595386Z 
2022-11-23T01:32:37.4595463Z aten = torch.ops.aten
2022-11-23T01:32:37.4595596Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4595688Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4595694Z 
2022-11-23T01:32:37.4595698Z 
2022-11-23T01:32:37.4595830Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4596033Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4596150Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:37.4596240Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.4596339Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.4596430Z {
2022-11-23T01:32:37.4596527Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4596587Z     {
2022-11-23T01:32:37.4596665Z         #pragma omp for 
2022-11-23T01:32:37.4596746Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.4596796Z         {
2022-11-23T01:32:37.4596941Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(0));
2022-11-23T01:32:37.4597032Z             tmp0.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.4597094Z         }
2022-11-23T01:32:37.4597395Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.4597480Z         for(long i0=512; i0<512; i0+=1)
2022-11-23T01:32:37.4597544Z         {
2022-11-23T01:32:37.4597631Z             auto tmp0 = static_cast<float>(0);
2022-11-23T01:32:37.4597711Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:37.4597774Z         }
2022-11-23T01:32:37.4597854Z         #pragma omp for 
2022-11-23T01:32:37.4597936Z         for(long i0=0; i0<80; i0+=1)
2022-11-23T01:32:37.4597998Z         {
2022-11-23T01:32:37.4598068Z             #pragma GCC ivdep
2022-11-23T01:32:37.4598152Z             for(long i1=0; i1<32; i1+=1)
2022-11-23T01:32:37.4598216Z             {
2022-11-23T01:32:37.4598282Z                 {
2022-11-23T01:32:37.4598350Z                     {
2022-11-23T01:32:37.4598450Z                         auto tmp0 = in_ptr0[80 + i0];
2022-11-23T01:32:37.4598546Z                         auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.4598638Z                         auto tmp2 = in_ptr1[i1 + (32*tmp1)];
2022-11-23T01:32:37.4598741Z                         auto tmp3 = in_ptr1[i1 + (32*tmp0)];
2022-11-23T01:32:37.4598884Z                         auto tmp4 = tmp2 - tmp3;
2022-11-23T01:32:37.4598991Z                         auto tmp5 = static_cast<float>(1);
2022-11-23T01:32:37.4599083Z                         auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:37.4599196Z                         atomic_add(&out_ptr0[i1 + (32*tmp0)], tmp6);
2022-11-23T01:32:37.4599263Z                     }
2022-11-23T01:32:37.4599331Z                 }
2022-11-23T01:32:37.4599381Z             }
2022-11-23T01:32:37.4599443Z         }
2022-11-23T01:32:37.4599503Z     }
2022-11-23T01:32:37.4599563Z }
2022-11-23T01:32:37.4599640Z ''')
2022-11-23T01:32:37.4599646Z 
2022-11-23T01:32:37.4599650Z 
2022-11-23T01:32:37.4599738Z async_compile.wait(globals())
2022-11-23T01:32:37.4599810Z del async_compile
2022-11-23T01:32:37.4599815Z 
2022-11-23T01:32:37.4599871Z def call(args):
2022-11-23T01:32:37.4599948Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.4600020Z     args.clear()
2022-11-23T01:32:37.4600218Z     buf0 = empty_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4600380Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.4600447Z     del arg0_1
2022-11-23T01:32:37.4600513Z     del arg1_1
2022-11-23T01:32:37.4600571Z     return (buf0, )
2022-11-23T01:32:37.4600576Z 
2022-11-23T01:32:37.4600580Z 
2022-11-23T01:32:37.4600655Z if __name__ == "__main__":
2022-11-23T01:32:37.4600769Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4600889Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4601087Z     arg0_1 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4601281Z     arg1_1 = rand_strided((2, 80), (80, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.4601393Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.4601398Z 
2022-11-23T01:32:37.4601466Z ok (2.655s)
2022-11-23T01:32:37.4601751Z   test_gelu_cpu (__main__.CpuTests) ... [2022-11-23 01:20:44,792] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4602019Z [2022-11-23 01:20:44,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4602236Z [2022-11-23 01:20:44,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4602487Z [2022-11-23 01:20:44,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4602815Z [2022-11-23 01:20:44,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4603138Z [2022-11-23 01:20:44,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4603495Z [2022-11-23 01:20:44,793] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f641a300, file "inductor/test_torchinductor.py", line 2438> 
2022-11-23T01:32:37.4603592Z  2439           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.4603686Z                2 LOAD_METHOD              1 (gelu)
2022-11-23T01:32:37.4603763Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.4603851Z                6 CALL_METHOD              1
2022-11-23T01:32:37.4603941Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:37.4604017Z               10 BINARY_ADD
2022-11-23T01:32:37.4604110Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.4604199Z               14 LOAD_METHOD              1 (gelu)
2022-11-23T01:32:37.4604286Z               16 LOAD_FAST                0 (x)
2022-11-23T01:32:37.4604361Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4604434Z               20 BINARY_ADD
2022-11-23T01:32:37.4604523Z               22 CALL_METHOD              1
2022-11-23T01:32:37.4604614Z               24 BUILD_TUPLE              2
2022-11-23T01:32:37.4604693Z               26 RETURN_VALUE
2022-11-23T01:32:37.4604754Z  
2022-11-23T01:32:37.4604760Z 
2022-11-23T01:32:37.4605031Z [2022-11-23 01:20:44,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2439
2022-11-23T01:32:37.4605249Z [2022-11-23 01:20:44,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.4605539Z [2022-11-23 01:20:44,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gelu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.4605790Z [2022-11-23 01:20:44,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.gelu)]
2022-11-23T01:32:37.4606079Z [2022-11-23 01:20:44,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.gelu), TensorVariable()]
2022-11-23T01:32:37.4606319Z [2022-11-23 01:20:44,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:37.4606599Z [2022-11-23 01:20:44,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4606842Z [2022-11-23 01:20:44,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.4607172Z [2022-11-23 01:20:44,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gelu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.4607449Z [2022-11-23 01:20:44,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.gelu)]
2022-11-23T01:32:37.4607754Z [2022-11-23 01:20:44,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.gelu), TensorVariable()]
2022-11-23T01:32:37.4608104Z [2022-11-23 01:20:44,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.gelu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4608401Z [2022-11-23 01:20:44,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.gelu), TensorVariable()]
2022-11-23T01:32:37.4608666Z [2022-11-23 01:20:44,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4608910Z [2022-11-23 01:20:44,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4609297Z [2022-11-23 01:20:44,830] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f641a300, file "inductor/test_torchinductor.py", line 2438>
2022-11-23T01:32:37.4609538Z [2022-11-23 01:20:44,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4609771Z [2022-11-23 01:20:44,830] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4610050Z [2022-11-23 01:20:44,832] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4610297Z [2022-11-23 01:20:44,844] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4610484Z [2022-11-23 01:20:44,844] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4610620Z  __compiled_fn_183 <eval_with_key>.1162 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4610697Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4610804Z call_function, gelu, aten.gelu, (ex_0_,), {}
2022-11-23T01:32:37.4610977Z call_function, add, <built-in function add>, (gelu, 2), {}
2022-11-23T01:32:37.4611153Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.4611258Z call_function, gelu_1, aten.gelu, (add_1,), {}
2022-11-23T01:32:37.4611362Z output, output, output, ((add, gelu_1),), {}
2022-11-23T01:32:37.4611367Z 
2022-11-23T01:32:37.4611648Z [2022-11-23 01:20:44,845] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4611729Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4611820Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4611913Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4612004Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4612081Z               8 RETURN_VALUE
2022-11-23T01:32:37.4612086Z 
2022-11-23T01:32:37.4612149Z  
2022-11-23T01:32:37.4612427Z [2022-11-23 01:20:44,845] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4612535Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_183)
2022-11-23T01:32:37.4612612Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4612703Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4612778Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4612867Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.4612970Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4613070Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4613159Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4613221Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.4613319Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4613406Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4613482Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.4613569Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.4613646Z              26 RETURN_VALUE
2022-11-23T01:32:37.4613652Z 
2022-11-23T01:32:37.4613712Z  
2022-11-23T01:32:37.4613880Z [2022-11-23 01:20:44,846] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4613948Z  - 
2022-11-23T01:32:37.4614067Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4614131Z             {
2022-11-23T01:32:37.4614273Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4614459Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.4614577Z                 'obj_weakref': None
2022-11-23T01:32:37.4614801Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4614853Z             }
2022-11-23T01:32:37.4614914Z             
2022-11-23T01:32:37.4614982Z  - 
2022-11-23T01:32:37.4615103Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4615195Z             {
2022-11-23T01:32:37.4615337Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4615430Z                 'code': None,
2022-11-23T01:32:37.4615635Z                 'obj_weakref': <weakref at 0x7f7106c963b0; to 'Tensor' at 0x7f7106c93050>
2022-11-23T01:32:37.4615881Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4615944Z             }
2022-11-23T01:32:37.4616036Z             
2022-11-23T01:32:37.4616104Z  - 
2022-11-23T01:32:37.4616235Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4616284Z             {
2022-11-23T01:32:37.4616417Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4616585Z                 'code': ['___check_obj_id(model, 140123422015712)'],
2022-11-23T01:32:37.4616702Z                 'obj_weakref': None
2022-11-23T01:32:37.4616929Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4616995Z             }
2022-11-23T01:32:37.4617056Z             
2022-11-23T01:32:37.4617111Z  - 
2022-11-23T01:32:37.4617231Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4617293Z             {
2022-11-23T01:32:37.4617429Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4617645Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4617765Z                 'obj_weakref': None
2022-11-23T01:32:37.4617984Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4618049Z             }
2022-11-23T01:32:37.4618099Z             
2022-11-23T01:32:37.4618169Z  - 
2022-11-23T01:32:37.4618301Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.4618367Z             {
2022-11-23T01:32:37.4618490Z                 'guard_types': None,
2022-11-23T01:32:37.4618597Z                 'code': None,
2022-11-23T01:32:37.4618703Z                 'obj_weakref': None
2022-11-23T01:32:37.4618826Z                 'guarded_class': None
2022-11-23T01:32:37.4618890Z             }
2022-11-23T01:32:37.4618954Z             
2022-11-23T01:32:37.4619215Z [2022-11-23 01:20:44,872] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 182
2022-11-23T01:32:37.4619583Z [2022-11-23 01:20:47,414] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wt/cwt36lrg2pnorhtotfdavw2mqc7uyzf75bmg7qzg23jwbm6lgzgu.py
2022-11-23T01:32:37.4619849Z [2022-11-23 01:20:47,415] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 182
2022-11-23T01:32:37.4619855Z 
2022-11-23T01:32:37.4619949Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4620007Z import torch
2022-11-23T01:32:37.4620078Z import random
2022-11-23T01:32:37.4620194Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4620315Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4620323Z 
2022-11-23T01:32:37.4620402Z aten = torch.ops.aten
2022-11-23T01:32:37.4620538Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4620647Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4620653Z 
2022-11-23T01:32:37.4620658Z 
2022-11-23T01:32:37.4620852Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4621126Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4621251Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.4621353Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.4621451Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.4621513Z {
2022-11-23T01:32:37.4621616Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4621678Z     {
2022-11-23T01:32:37.4621742Z         #pragma omp for 
2022-11-23T01:32:37.4621828Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:32:37.4621893Z         {
2022-11-23T01:32:37.4621997Z             {
2022-11-23T01:32:37.4622060Z                 {
2022-11-23T01:32:37.4622153Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.4622259Z                     auto tmp1 = static_cast<float>(0.5);
2022-11-23T01:32:37.4622338Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:37.4622452Z                     auto tmp3 = static_cast<float>(0.7071067811865476);
2022-11-23T01:32:37.4622544Z                     auto tmp4 = tmp0 * tmp3;
2022-11-23T01:32:37.4622679Z                     auto tmp5 = std::erf(tmp4);
2022-11-23T01:32:37.4622785Z                     auto tmp6 = static_cast<float>(1);
2022-11-23T01:32:37.4622875Z                     auto tmp7 = tmp5 + tmp6;
2022-11-23T01:32:37.4622965Z                     auto tmp8 = tmp2 * tmp7;
2022-11-23T01:32:37.4623053Z                     auto tmp9 = static_cast<float>(2);
2022-11-23T01:32:37.4623146Z                     auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:37.4623237Z                     auto tmp11 = tmp0 + tmp6;
2022-11-23T01:32:37.4623336Z                     auto tmp12 = tmp11 * tmp1;
2022-11-23T01:32:37.4623429Z                     auto tmp13 = tmp11 * tmp3;
2022-11-23T01:32:37.4623529Z                     auto tmp14 = std::erf(tmp13);
2022-11-23T01:32:37.4623620Z                     auto tmp15 = tmp14 + tmp6;
2022-11-23T01:32:37.4623698Z                     auto tmp16 = tmp12 * tmp15;
2022-11-23T01:32:37.4623786Z                     out_ptr0[i0] = tmp10;
2022-11-23T01:32:37.4623870Z                     out_ptr1[i0] = tmp16;
2022-11-23T01:32:37.4623934Z                 }
2022-11-23T01:32:37.4623999Z             }
2022-11-23T01:32:37.4624063Z         }
2022-11-23T01:32:37.4624125Z     }
2022-11-23T01:32:37.4624172Z }
2022-11-23T01:32:37.4624257Z ''')
2022-11-23T01:32:37.4624263Z 
2022-11-23T01:32:37.4624267Z 
2022-11-23T01:32:37.4624357Z async_compile.wait(globals())
2022-11-23T01:32:37.4624428Z del async_compile
2022-11-23T01:32:37.4624504Z 
2022-11-23T01:32:37.4624578Z def call(args):
2022-11-23T01:32:37.4624653Z     arg0_1, = args
2022-11-23T01:32:37.4624724Z     args.clear()
2022-11-23T01:32:37.4624915Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4625111Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4625274Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.4625344Z     del arg0_1
2022-11-23T01:32:37.4625425Z     return (buf0, buf1, )
2022-11-23T01:32:37.4625430Z 
2022-11-23T01:32:37.4625434Z 
2022-11-23T01:32:37.4625515Z if __name__ == "__main__":
2022-11-23T01:32:37.4625629Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4625755Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4625939Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4626046Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.4626051Z 
2022-11-23T01:32:37.4626122Z ok (2.635s)
2022-11-23T01:32:37.4626423Z   test_glu_cpu (__main__.CpuTests) ... [2022-11-23 01:20:47,431] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4626693Z [2022-11-23 01:20:47,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4626911Z [2022-11-23 01:20:47,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4627167Z [2022-11-23 01:20:47,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4627452Z [2022-11-23 01:20:47,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4627773Z [2022-11-23 01:20:47,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4628099Z [2022-11-23 01:20:47,432] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f641aed0, file "inductor/test_torchinductor.py", line 2544> 
2022-11-23T01:32:37.4628216Z  2545           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.4628308Z                2 LOAD_METHOD              1 (glu)
2022-11-23T01:32:37.4628398Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.4628535Z                6 LOAD_CONST               1 (-1)
2022-11-23T01:32:37.4628626Z                8 CALL_METHOD              2
2022-11-23T01:32:37.4628746Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.4628835Z               12 LOAD_METHOD              1 (glu)
2022-11-23T01:32:37.4628912Z               14 LOAD_FAST                0 (x)
2022-11-23T01:32:37.4629000Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4629087Z               18 CALL_METHOD              2
2022-11-23T01:32:37.4629177Z               20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.4629265Z               22 LOAD_METHOD              1 (glu)
2022-11-23T01:32:37.4629356Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:37.4629443Z               26 LOAD_CONST               3 (2)
2022-11-23T01:32:37.4629517Z               28 CALL_METHOD              2
2022-11-23T01:32:37.4629603Z               30 BUILD_TUPLE              3
2022-11-23T01:32:37.4629679Z               32 RETURN_VALUE
2022-11-23T01:32:37.4629738Z  
2022-11-23T01:32:37.4629743Z 
2022-11-23T01:32:37.4630014Z [2022-11-23 01:20:47,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2545
2022-11-23T01:32:37.4630227Z [2022-11-23 01:20:47,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.4630529Z [2022-11-23 01:20:47,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR glu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.4630778Z [2022-11-23 01:20:47,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.glu)]
2022-11-23T01:32:37.4631058Z [2022-11-23 01:20:47,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(aten.glu), TensorVariable()]
2022-11-23T01:32:37.4631363Z [2022-11-23 01:20:47,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.glu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4631714Z [2022-11-23 01:20:47,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.4632191Z [2022-11-23 01:20:47,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR glu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.4632471Z [2022-11-23 01:20:47,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.glu)]
2022-11-23T01:32:37.4632774Z [2022-11-23 01:20:47,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.glu), TensorVariable()]
2022-11-23T01:32:37.4633126Z [2022-11-23 01:20:47,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.glu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4633396Z [2022-11-23 01:20:47,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4633754Z [2022-11-23 01:20:47,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR glu [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.4634056Z [2022-11-23 01:20:47,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(aten.glu)]
2022-11-23T01:32:37.4634386Z [2022-11-23 01:20:47,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.glu), TensorVariable()]
2022-11-23T01:32:37.4634763Z [2022-11-23 01:20:47,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.glu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4635091Z [2022-11-23 01:20:47,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4635333Z [2022-11-23 01:20:47,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4635692Z [2022-11-23 01:20:47,496] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f641aed0, file "inductor/test_torchinductor.py", line 2544>
2022-11-23T01:32:37.4635935Z [2022-11-23 01:20:47,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4636170Z [2022-11-23 01:20:47,496] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4636423Z [2022-11-23 01:20:47,498] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4636671Z [2022-11-23 01:20:47,512] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4636859Z [2022-11-23 01:20:47,513] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4636991Z  __compiled_fn_184 <eval_with_key>.1168 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4637069Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4637339Z call_function, glu, aten.glu, (ex_0_, -1), {}
2022-11-23T01:32:37.4637447Z call_function, glu_1, aten.glu, (ex_0_, 1), {}
2022-11-23T01:32:37.4637550Z call_function, glu_2, aten.glu, (ex_0_, 2), {}
2022-11-23T01:32:37.4637658Z output, output, output, ((glu, glu_1, glu_2),), {}
2022-11-23T01:32:37.4637663Z 
2022-11-23T01:32:37.4637940Z [2022-11-23 01:20:47,513] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4638035Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4638126Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4638207Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4638297Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4638374Z               8 RETURN_VALUE
2022-11-23T01:32:37.4638380Z 
2022-11-23T01:32:37.4638442Z  
2022-11-23T01:32:37.4638719Z [2022-11-23 01:20:47,514] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4638830Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_184)
2022-11-23T01:32:37.4638921Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4639010Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4639073Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4639165Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.4639269Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4639371Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4639463Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4639540Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.4639641Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4639716Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4639792Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.4639892Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4639980Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:37.4640055Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.4640142Z              30 BUILD_TUPLE              3
2022-11-23T01:32:37.4640215Z              32 RETURN_VALUE
2022-11-23T01:32:37.4640220Z 
2022-11-23T01:32:37.4640268Z  
2022-11-23T01:32:37.4640449Z [2022-11-23 01:20:47,515] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4640518Z  - 
2022-11-23T01:32:37.4640636Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4640700Z             {
2022-11-23T01:32:37.4640905Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4641096Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.4641203Z                 'obj_weakref': None
2022-11-23T01:32:37.4641430Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4641495Z             }
2022-11-23T01:32:37.4641560Z             
2022-11-23T01:32:37.4641630Z  - 
2022-11-23T01:32:37.4641793Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4641859Z             {
2022-11-23T01:32:37.4641989Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4642095Z                 'code': None,
2022-11-23T01:32:37.4642303Z                 'obj_weakref': <weakref at 0x7f7106a20b30; to 'Tensor' at 0x7f7106a1e410>
2022-11-23T01:32:37.4642553Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4642622Z             }
2022-11-23T01:32:37.4642685Z             
2022-11-23T01:32:37.4642753Z  - 
2022-11-23T01:32:37.4642871Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4642932Z             {
2022-11-23T01:32:37.4643065Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4643231Z                 'code': ['___check_obj_id(model, 140123423226480)'],
2022-11-23T01:32:37.4643349Z                 'obj_weakref': None
2022-11-23T01:32:37.4643578Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4643643Z             }
2022-11-23T01:32:37.4643693Z             
2022-11-23T01:32:37.4643762Z  - 
2022-11-23T01:32:37.4643883Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4643947Z             {
2022-11-23T01:32:37.4644083Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4644297Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4644417Z                 'obj_weakref': None
2022-11-23T01:32:37.4644622Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4644687Z             }
2022-11-23T01:32:37.4644748Z             
2022-11-23T01:32:37.4644815Z  - 
2022-11-23T01:32:37.4644945Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.4645008Z             {
2022-11-23T01:32:37.4645125Z                 'guard_types': None,
2022-11-23T01:32:37.4645219Z                 'code': None,
2022-11-23T01:32:37.4645334Z                 'obj_weakref': None
2022-11-23T01:32:37.4645453Z                 'guarded_class': None
2022-11-23T01:32:37.4645515Z             }
2022-11-23T01:32:37.4645577Z             
2022-11-23T01:32:37.4645834Z [2022-11-23 01:20:47,532] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 183
2022-11-23T01:32:37.4646206Z [2022-11-23 01:20:50,178] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dw/cdwyjnh2vygbu64bjeyhrzxhaqzn5eepl2vn7qna43wnxrhzs7gg.py
2022-11-23T01:32:37.4646456Z [2022-11-23 01:20:50,178] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 183
2022-11-23T01:32:37.4646473Z 
2022-11-23T01:32:37.4646553Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4646622Z import torch
2022-11-23T01:32:37.4646691Z import random
2022-11-23T01:32:37.4646807Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4646931Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4646936Z 
2022-11-23T01:32:37.4647013Z aten = torch.ops.aten
2022-11-23T01:32:37.4647147Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4647225Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4647230Z 
2022-11-23T01:32:37.4647246Z 
2022-11-23T01:32:37.4647365Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4647566Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4647722Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.4647820Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.4647916Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.4648012Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:37.4648099Z {
2022-11-23T01:32:37.4648184Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4648245Z     {
2022-11-23T01:32:37.4648358Z         #pragma omp for 
2022-11-23T01:32:37.4648442Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:37.4648505Z         {
2022-11-23T01:32:37.4648583Z             #pragma GCC ivdep
2022-11-23T01:32:37.4648665Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:37.4648716Z             {
2022-11-23T01:32:37.4648780Z                 {
2022-11-23T01:32:37.4648845Z                     {
2022-11-23T01:32:37.4648948Z                         auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:37.4649052Z                         auto tmp1 = in_ptr0[4 + i1 + (8*i0)];
2022-11-23T01:32:37.4649211Z                         auto tmp2 = std::exp(-tmp1);
2022-11-23T01:32:37.4649301Z                         auto tmp3 = 1 / (1 + tmp2);
2022-11-23T01:32:37.4649381Z                         auto tmp4 = tmp0 * tmp3;
2022-11-23T01:32:37.4649474Z                         out_ptr0[i1 + (4*i0)] = tmp4;
2022-11-23T01:32:37.4649541Z                     }
2022-11-23T01:32:37.4649608Z                 }
2022-11-23T01:32:37.4649673Z             }
2022-11-23T01:32:37.4649740Z         }
2022-11-23T01:32:37.4649804Z         #pragma omp for 
2022-11-23T01:32:37.4649888Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.4649950Z         {
2022-11-23T01:32:37.4650036Z             for(long i1=0; i1<32; i1+=1)
2022-11-23T01:32:37.4650099Z             {
2022-11-23T01:32:37.4650240Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (16*i1) + (1024*i0));
2022-11-23T01:32:37.4650384Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 512 + (16*i1) + (1024*i0));
2022-11-23T01:32:37.4650519Z                 auto tmp2 = decltype(tmp1)(1)/(decltype(tmp1)(1) + tmp1.neg().exp());
2022-11-23T01:32:37.4650593Z                 auto tmp3 = tmp0 * tmp2;
2022-11-23T01:32:37.4650696Z                 tmp3.store(out_ptr1 + (16*i1) + (512*i0));
2022-11-23T01:32:37.4650759Z             }
2022-11-23T01:32:37.4650849Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.4650936Z             for(long i1=512; i1<512; i1+=1)
2022-11-23T01:32:37.4651001Z             {
2022-11-23T01:32:37.4651098Z                 auto tmp0 = in_ptr0[i1 + (1024*i0)];
2022-11-23T01:32:37.4651185Z                 auto tmp1 = in_ptr0[512 + i1 + (1024*i0)];
2022-11-23T01:32:37.4651323Z                 auto tmp2 = std::exp(-tmp1);
2022-11-23T01:32:37.4651410Z                 auto tmp3 = 1 / (1 + tmp2);
2022-11-23T01:32:37.4651494Z                 auto tmp4 = tmp0 * tmp3;
2022-11-23T01:32:37.4651584Z                 out_ptr1[i1 + (512*i0)] = tmp4;
2022-11-23T01:32:37.4651651Z             }
2022-11-23T01:32:37.4651716Z         }
2022-11-23T01:32:37.4651779Z         #pragma omp for 
2022-11-23T01:32:37.4651859Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.4651921Z         {
2022-11-23T01:32:37.4652003Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:37.4652065Z             {
2022-11-23T01:32:37.4652204Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (16*i1) + (64*i0));
2022-11-23T01:32:37.4652351Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 32 + (16*i1) + (64*i0));
2022-11-23T01:32:37.4652485Z                 auto tmp2 = decltype(tmp1)(1)/(decltype(tmp1)(1) + tmp1.neg().exp());
2022-11-23T01:32:37.4652559Z                 auto tmp3 = tmp0 * tmp2;
2022-11-23T01:32:37.4652661Z                 tmp3.store(out_ptr2 + (16*i1) + (32*i0));
2022-11-23T01:32:37.4652722Z             }
2022-11-23T01:32:37.4652813Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.4652896Z             for(long i1=32; i1<32; i1+=1)
2022-11-23T01:32:37.4653004Z             {
2022-11-23T01:32:37.4653098Z                 auto tmp0 = in_ptr0[i1 + (64*i0)];
2022-11-23T01:32:37.4653184Z                 auto tmp1 = in_ptr0[32 + i1 + (64*i0)];
2022-11-23T01:32:37.4653324Z                 auto tmp2 = std::exp(-tmp1);
2022-11-23T01:32:37.4653409Z                 auto tmp3 = 1 / (1 + tmp2);
2022-11-23T01:32:37.4653494Z                 auto tmp4 = tmp0 * tmp3;
2022-11-23T01:32:37.4653614Z                 out_ptr2[i1 + (32*i0)] = tmp4;
2022-11-23T01:32:37.4653676Z             }
2022-11-23T01:32:37.4653741Z         }
2022-11-23T01:32:37.4653792Z     }
2022-11-23T01:32:37.4653852Z }
2022-11-23T01:32:37.4653931Z ''')
2022-11-23T01:32:37.4653936Z 
2022-11-23T01:32:37.4653941Z 
2022-11-23T01:32:37.4654031Z async_compile.wait(globals())
2022-11-23T01:32:37.4654105Z del async_compile
2022-11-23T01:32:37.4654109Z 
2022-11-23T01:32:37.4654182Z def call(args):
2022-11-23T01:32:37.4654251Z     arg0_1, = args
2022-11-23T01:32:37.4654309Z     args.clear()
2022-11-23T01:32:37.4654524Z     buf0 = empty_strided((8, 16, 8, 4), (512, 32, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4654735Z     buf1 = empty_strided((8, 8, 8, 8), (512, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4654948Z     buf2 = empty_strided((8, 16, 4, 8), (512, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4655142Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:37.4655212Z     del arg0_1
2022-11-23T01:32:37.4655296Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:37.4655301Z 
2022-11-23T01:32:37.4655305Z 
2022-11-23T01:32:37.4655382Z if __name__ == "__main__":
2022-11-23T01:32:37.4655484Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4655607Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4655822Z     arg0_1 = rand_strided((8, 16, 8, 8), (1024, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4655932Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.4655937Z 
2022-11-23T01:32:37.4656006Z ok (2.775s)
2022-11-23T01:32:37.4656322Z   test_grid_sampler_2d_cpu (__main__.CpuTests) ... [2022-11-23 01:20:50,551] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4656592Z [2022-11-23 01:20:50,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4656813Z [2022-11-23 01:20:50,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4657067Z [2022-11-23 01:20:50,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4657342Z [2022-11-23 01:20:50,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4657670Z [2022-11-23 01:20:50,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4658001Z [2022-11-23 01:20:50,551] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f642a930, file "inductor/test_torchinductor.py", line 3053> 
2022-11-23T01:32:37.4658098Z  3055           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.4658206Z                2 LOAD_METHOD              1 (grid_sampler_2d)
2022-11-23T01:32:37.4658301Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4658392Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4658482Z                8 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4658556Z               10 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4658651Z               12 LOAD_CONST               2 (True)
2022-11-23T01:32:37.4658741Z               14 CALL_METHOD              5
2022-11-23T01:32:37.4658746Z 
2022-11-23T01:32:37.4658839Z 3056          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.4658984Z               18 LOAD_METHOD              1 (grid_sampler_2d)
2022-11-23T01:32:37.4659070Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4659159Z               22 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4659245Z               24 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4659319Z               26 LOAD_CONST               3 (1)
2022-11-23T01:32:37.4659411Z               28 LOAD_CONST               4 (False)
2022-11-23T01:32:37.4659527Z               30 CALL_METHOD              5
2022-11-23T01:32:37.4659619Z               32 BUILD_TUPLE              2
2022-11-23T01:32:37.4659694Z               34 RETURN_VALUE
2022-11-23T01:32:37.4659759Z  
2022-11-23T01:32:37.4659763Z 
2022-11-23T01:32:37.4660036Z [2022-11-23 01:20:50,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3055
2022-11-23T01:32:37.4660239Z [2022-11-23 01:20:50,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.4660564Z [2022-11-23 01:20:50,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR grid_sampler_2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.4660830Z [2022-11-23 01:20:50,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.grid_sampler_2d)]
2022-11-23T01:32:37.4661122Z [2022-11-23 01:20:50,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.grid_sampler_2d), TensorVariable()]
2022-11-23T01:32:37.4661450Z [2022-11-23 01:20:50,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4661810Z [2022-11-23 01:20:50,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4662217Z [2022-11-23 01:20:50,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.4662664Z [2022-11-23 01:20:50,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:37.4662929Z [2022-11-23 01:20:50,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3056
2022-11-23T01:32:37.4663176Z [2022-11-23 01:20:50,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.4663526Z [2022-11-23 01:20:50,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR grid_sampler_2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.4663823Z [2022-11-23 01:20:50,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.grid_sampler_2d)]
2022-11-23T01:32:37.4664131Z [2022-11-23 01:20:50,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable()]
2022-11-23T01:32:37.4664587Z [2022-11-23 01:20:50,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4664989Z [2022-11-23 01:20:50,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4670824Z [2022-11-23 01:20:50,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.4671357Z [2022-11-23 01:20:50,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:37.4671709Z [2022-11-23 01:20:50,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4671963Z [2022-11-23 01:20:50,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4672332Z [2022-11-23 01:20:50,824] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f642a930, file "inductor/test_torchinductor.py", line 3053>
2022-11-23T01:32:37.4672584Z [2022-11-23 01:20:50,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4672823Z [2022-11-23 01:20:50,825] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4673081Z [2022-11-23 01:20:50,838] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4673320Z [2022-11-23 01:20:51,038] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4673508Z [2022-11-23 01:20:51,039] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4673641Z  __compiled_fn_185 <eval_with_key>.1174 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4673731Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4673818Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.4673965Z call_function, grid_sampler_2d, aten.grid_sampler_2d, (ex_0_, ex_1_, 0, 0, True), {}
2022-11-23T01:32:37.4674109Z call_function, grid_sampler_2d_1, aten.grid_sampler_2d, (ex_0_, ex_1_, 0, 1, False), {}
2022-11-23T01:32:37.4674239Z output, output, output, ((grid_sampler_2d, grid_sampler_2d_1),), {}
2022-11-23T01:32:37.4674246Z 
2022-11-23T01:32:37.4674512Z [2022-11-23 01:20:51,040] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4674603Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4674695Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4674786Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4674877Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4674954Z               8 RETURN_VALUE
2022-11-23T01:32:37.4674959Z 
2022-11-23T01:32:37.4675020Z  
2022-11-23T01:32:37.4675296Z [2022-11-23 01:20:51,040] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4675390Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_185)
2022-11-23T01:32:37.4675479Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4675567Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4675643Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4675730Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4675817Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4675892Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.4675968Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.4676071Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4676172Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4676260Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4676336Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.4676435Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4676525Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4676587Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.4676675Z              30 BUILD_TUPLE              2
2022-11-23T01:32:37.4676748Z              32 RETURN_VALUE
2022-11-23T01:32:37.4676753Z 
2022-11-23T01:32:37.4676814Z  
2022-11-23T01:32:37.4676995Z [2022-11-23 01:20:51,041] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4677064Z  - 
2022-11-23T01:32:37.4677349Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4677482Z             {
2022-11-23T01:32:37.4677612Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4677800Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.4677921Z                 'obj_weakref': None
2022-11-23T01:32:37.4678147Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4678213Z             }
2022-11-23T01:32:37.4678278Z             
2022-11-23T01:32:37.4678384Z  - 
2022-11-23T01:32:37.4678498Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4678561Z             {
2022-11-23T01:32:37.4678706Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4678813Z                 'code': None,
2022-11-23T01:32:37.4679018Z                 'obj_weakref': <weakref at 0x7f71067a4650; to 'Tensor' at 0x7f7106c60ad0>
2022-11-23T01:32:37.4679266Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4679332Z             }
2022-11-23T01:32:37.4679382Z             
2022-11-23T01:32:37.4679451Z  - 
2022-11-23T01:32:37.4679572Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.4679633Z             {
2022-11-23T01:32:37.4679774Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4679878Z                 'code': None,
2022-11-23T01:32:37.4680081Z                 'obj_weakref': <weakref at 0x7f7106763770; to 'Tensor' at 0x7f7106c60e90>
2022-11-23T01:32:37.4680310Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4680374Z             }
2022-11-23T01:32:37.4680437Z             
2022-11-23T01:32:37.4680505Z  - 
2022-11-23T01:32:37.4680636Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4680699Z             {
2022-11-23T01:32:37.4680830Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4680987Z                 'code': ['___check_obj_id(model, 140123419077376)'],
2022-11-23T01:32:37.4681108Z                 'obj_weakref': None
2022-11-23T01:32:37.4681336Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4681401Z             }
2022-11-23T01:32:37.4681465Z             
2022-11-23T01:32:37.4681533Z  - 
2022-11-23T01:32:37.4681654Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4681704Z             {
2022-11-23T01:32:37.4681840Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4682056Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4682175Z                 'obj_weakref': None
2022-11-23T01:32:37.4682389Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4682453Z             }
2022-11-23T01:32:37.4682515Z             
2022-11-23T01:32:37.4682570Z  - 
2022-11-23T01:32:37.4682699Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.4682763Z             {
2022-11-23T01:32:37.4682881Z                 'guard_types': None,
2022-11-23T01:32:37.4682988Z                 'code': None,
2022-11-23T01:32:37.4683104Z                 'obj_weakref': None
2022-11-23T01:32:37.4683210Z                 'guarded_class': None
2022-11-23T01:32:37.4683272Z             }
2022-11-23T01:32:37.4683334Z             
2022-11-23T01:32:37.4683592Z [2022-11-23 01:20:51,436] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 184
2022-11-23T01:32:37.4683800Z [2022-11-23 01:20:52,385] torch._inductor.scheduler: [DEBUG] remove_buffer('buf1')
2022-11-23T01:32:37.4684005Z [2022-11-23 01:20:52,385] torch._inductor.scheduler: [DEBUG] remove_buffer('buf4')
2022-11-23T01:32:37.4684201Z [2022-11-23 01:20:52,385] torch._inductor.scheduler: [DEBUG] remove_buffer('buf3')
2022-11-23T01:32:37.4684394Z [2022-11-23 01:20:52,385] torch._inductor.scheduler: [DEBUG] remove_buffer('buf2')
2022-11-23T01:32:37.4684576Z [2022-11-23 01:20:52,385] torch._inductor.scheduler: [DEBUG] remove_buffer('buf7')
2022-11-23T01:32:37.4684629Z 
2022-11-23T01:32:37.4684710Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4684778Z import torch
2022-11-23T01:32:37.4684846Z import random
2022-11-23T01:32:37.4684960Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4685079Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4685084Z 
2022-11-23T01:32:37.4685162Z aten = torch.ops.aten
2022-11-23T01:32:37.4685321Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4685402Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4685406Z 
2022-11-23T01:32:37.4685411Z 
2022-11-23T01:32:37.4685544Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4685748Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4685862Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.4685963Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:32:37.4686062Z                        float* __restrict__ in_out_ptr2,
2022-11-23T01:32:37.4686165Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.4686267Z                        const float* __restrict__ in_ptr1)
2022-11-23T01:32:37.4686314Z {
2022-11-23T01:32:37.4686413Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4686474Z     {
2022-11-23T01:32:37.4686549Z         #pragma omp for 
2022-11-23T01:32:37.4686631Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.4686693Z         {
2022-11-23T01:32:37.4686759Z             #pragma GCC ivdep
2022-11-23T01:32:37.4686840Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:37.4686903Z             {
2022-11-23T01:32:37.4686983Z                 #pragma GCC ivdep
2022-11-23T01:32:37.4687078Z                 for(long i2=0; i2<123904; i2+=1)
2022-11-23T01:32:37.4687144Z                 {
2022-11-23T01:32:37.4687210Z                     {
2022-11-23T01:32:37.4687267Z                         {
2022-11-23T01:32:37.4687376Z                             auto tmp2 = in_ptr0[(2*i2) + (247808*i0)];
2022-11-23T01:32:37.4687486Z                             auto tmp11 = in_ptr0[1 + (2*i2) + (247808*i0)];
2022-11-23T01:32:37.4687593Z                             auto tmp0 = static_cast<long>(i0);
2022-11-23T01:32:37.4687698Z                             auto tmp1 = static_cast<long>(i1);
2022-11-23T01:32:37.4687809Z                             auto tmp3 = static_cast<float>(175.5);
2022-11-23T01:32:37.4687903Z                             auto tmp4 = tmp2 * tmp3;
2022-11-23T01:32:37.4687994Z                             auto tmp5 = tmp4 + tmp3;
2022-11-23T01:32:37.4688094Z                             auto tmp6 = std::floor(tmp5);
2022-11-23T01:32:37.4688199Z                             auto tmp7 = static_cast<float>(0);
2022-11-23T01:32:37.4688294Z                             auto tmp8 = tmp6 >= tmp7;
2022-11-23T01:32:37.4688401Z                             auto tmp9 = static_cast<float>(352);
2022-11-23T01:32:37.4688499Z                             auto tmp10 = tmp6 < tmp9;
2022-11-23T01:32:37.4688593Z                             auto tmp12 = tmp11 * tmp3;
2022-11-23T01:32:37.4688687Z                             auto tmp13 = tmp12 + tmp3;
2022-11-23T01:32:37.4688781Z                             auto tmp14 = std::floor(tmp13);
2022-11-23T01:32:37.4688876Z                             auto tmp15 = tmp14 >= tmp7;
2022-11-23T01:32:37.4688973Z                             auto tmp16 = tmp14 < tmp9;
2022-11-23T01:32:37.4689072Z                             auto tmp17 = tmp15 && tmp16;
2022-11-23T01:32:37.4689169Z                             auto tmp18 = tmp10 && tmp17;
2022-11-23T01:32:37.4689264Z                             auto tmp19 = tmp8 && tmp18;
2022-11-23T01:32:37.4689374Z                             auto tmp20 = static_cast<long>(tmp14);
2022-11-23T01:32:37.4689479Z                             auto tmp21 = static_cast<long>(0);
2022-11-23T01:32:37.4689569Z                             auto tmp22 = tmp19 ? tmp20 : tmp21;
2022-11-23T01:32:37.4689707Z                             auto tmp23 = static_cast<long>(tmp6);
2022-11-23T01:32:37.4689809Z                             auto tmp24 = tmp19 ? tmp23 : tmp21;
2022-11-23T01:32:37.4689940Z                             auto tmp25 = in_ptr1[tmp24 + (352*tmp22) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T01:32:37.4690046Z                             auto tmp26 = static_cast<float>(1);
2022-11-23T01:32:37.4690168Z                             auto tmp27 = tmp6 + tmp26;
2022-11-23T01:32:37.4690318Z                             auto tmp28 = tmp27 - tmp5;
2022-11-23T01:32:37.4690400Z                             auto tmp29 = tmp14 + tmp26;
2022-11-23T01:32:37.4690547Z                             auto tmp30 = tmp29 - tmp13;
2022-11-23T01:32:37.4690642Z                             auto tmp31 = tmp28 * tmp30;
2022-11-23T01:32:37.4690747Z                             auto tmp32 = tmp19 ? tmp31 : tmp7;
2022-11-23T01:32:37.4690841Z                             auto tmp33 = tmp25 * tmp32;
2022-11-23T01:32:37.4690936Z                             auto tmp34 = tmp27 >= tmp7;
2022-11-23T01:32:37.4691031Z                             auto tmp35 = tmp27 < tmp9;
2022-11-23T01:32:37.4691127Z                             auto tmp36 = tmp35 && tmp17;
2022-11-23T01:32:37.4691210Z                             auto tmp37 = tmp34 && tmp36;
2022-11-23T01:32:37.4691310Z                             auto tmp38 = tmp37 ? tmp20 : tmp21;
2022-11-23T01:32:37.4691421Z                             auto tmp39 = static_cast<long>(tmp27);
2022-11-23T01:32:37.4691523Z                             auto tmp40 = tmp37 ? tmp39 : tmp21;
2022-11-23T01:32:37.4691653Z                             auto tmp41 = in_ptr1[tmp40 + (352*tmp38) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T01:32:37.4691798Z                             auto tmp42 = tmp5 - tmp6;
2022-11-23T01:32:37.4691891Z                             auto tmp43 = tmp42 * tmp30;
2022-11-23T01:32:37.4691993Z                             auto tmp44 = tmp37 ? tmp43 : tmp7;
2022-11-23T01:32:37.4692076Z                             auto tmp45 = tmp41 * tmp44;
2022-11-23T01:32:37.4692169Z                             auto tmp46 = tmp29 >= tmp7;
2022-11-23T01:32:37.4692263Z                             auto tmp47 = tmp29 < tmp9;
2022-11-23T01:32:37.4692359Z                             auto tmp48 = tmp46 && tmp47;
2022-11-23T01:32:37.4692454Z                             auto tmp49 = tmp10 && tmp48;
2022-11-23T01:32:37.4692549Z                             auto tmp50 = tmp8 && tmp49;
2022-11-23T01:32:37.4692658Z                             auto tmp51 = static_cast<long>(tmp29);
2022-11-23T01:32:37.4692748Z                             auto tmp52 = tmp50 ? tmp51 : tmp21;
2022-11-23T01:32:37.4692850Z                             auto tmp53 = tmp50 ? tmp23 : tmp21;
2022-11-23T01:32:37.4692977Z                             auto tmp54 = in_ptr1[tmp53 + (352*tmp52) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T01:32:37.4693123Z                             auto tmp55 = tmp13 - tmp14;
2022-11-23T01:32:37.4693217Z                             auto tmp56 = tmp28 * tmp55;
2022-11-23T01:32:37.4693319Z                             auto tmp57 = tmp50 ? tmp56 : tmp7;
2022-11-23T01:32:37.4693410Z                             auto tmp58 = tmp54 * tmp57;
2022-11-23T01:32:37.4693506Z                             auto tmp59 = tmp35 && tmp48;
2022-11-23T01:32:37.4693624Z                             auto tmp60 = tmp34 && tmp59;
2022-11-23T01:32:37.4693729Z                             auto tmp61 = tmp60 ? tmp51 : tmp21;
2022-11-23T01:32:37.4693832Z                             auto tmp62 = tmp60 ? tmp39 : tmp21;
2022-11-23T01:32:37.4693962Z                             auto tmp63 = in_ptr1[tmp62 + (352*tmp61) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T01:32:37.4694057Z                             auto tmp64 = tmp33 + tmp45;
2022-11-23T01:32:37.4694149Z                             auto tmp65 = tmp64 + tmp58;
2022-11-23T01:32:37.4694240Z                             auto tmp66 = tmp42 * tmp55;
2022-11-23T01:32:37.4694395Z                             auto tmp67 = tmp60 ? tmp66 : tmp7;
2022-11-23T01:32:37.4694488Z                             auto tmp68 = tmp63 * tmp67;
2022-11-23T01:32:37.4694582Z                             auto tmp69 = tmp65 + tmp68;
2022-11-23T01:32:37.4694694Z                             auto tmp70 = static_cast<float>(176.0);
2022-11-23T01:32:37.4694791Z                             auto tmp71 = tmp2 * tmp70;
2022-11-23T01:32:37.4694915Z                             auto tmp72 = tmp71 + tmp3;
2022-11-23T01:32:37.4695026Z                             auto tmp73 = static_cast<float>(0.0);
2022-11-23T01:32:37.4695141Z                             auto tmp74 = std::max(tmp72, tmp73);
2022-11-23T01:32:37.4695239Z                             auto tmp75 = static_cast<float>(351.0);
2022-11-23T01:32:37.4695349Z                             auto tmp76 = std::min(tmp74, tmp75);
2022-11-23T01:32:37.4695455Z                             auto tmp77 = std::floor(tmp76);
2022-11-23T01:32:37.4695553Z                             auto tmp78 = tmp77 >= tmp7;
2022-11-23T01:32:37.4695649Z                             auto tmp79 = tmp77 < tmp9;
2022-11-23T01:32:37.4695743Z                             auto tmp80 = tmp11 * tmp70;
2022-11-23T01:32:37.4695838Z                             auto tmp81 = tmp80 + tmp3;
2022-11-23T01:32:37.4695948Z                             auto tmp82 = std::max(tmp81, tmp73);
2022-11-23T01:32:37.4696043Z                             auto tmp83 = std::min(tmp82, tmp75);
2022-11-23T01:32:37.4696150Z                             auto tmp84 = std::floor(tmp83);
2022-11-23T01:32:37.4696246Z                             auto tmp85 = tmp84 >= tmp7;
2022-11-23T01:32:37.4696341Z                             auto tmp86 = tmp84 < tmp9;
2022-11-23T01:32:37.4696438Z                             auto tmp87 = tmp85 && tmp86;
2022-11-23T01:32:37.4696534Z                             auto tmp88 = tmp79 && tmp87;
2022-11-23T01:32:37.4696629Z                             auto tmp89 = tmp78 && tmp88;
2022-11-23T01:32:37.4696728Z                             auto tmp90 = static_cast<long>(tmp84);
2022-11-23T01:32:37.4696828Z                             auto tmp91 = tmp89 ? tmp90 : tmp21;
2022-11-23T01:32:37.4696936Z                             auto tmp92 = static_cast<long>(tmp77);
2022-11-23T01:32:37.4697041Z                             auto tmp93 = tmp89 ? tmp92 : tmp21;
2022-11-23T01:32:37.4697172Z                             auto tmp94 = in_ptr1[tmp93 + (352*tmp91) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T01:32:37.4697272Z                             auto tmp95 = tmp77 + tmp26;
2022-11-23T01:32:37.4697368Z                             auto tmp96 = tmp95 >= tmp7;
2022-11-23T01:32:37.4697463Z                             auto tmp97 = tmp95 < tmp9;
2022-11-23T01:32:37.4697546Z                             auto tmp98 = tmp97 && tmp87;
2022-11-23T01:32:37.4697642Z                             auto tmp99 = tmp96 && tmp98;
2022-11-23T01:32:37.4697748Z                             auto tmp100 = tmp99 ? tmp90 : tmp21;
2022-11-23T01:32:37.4697863Z                             auto tmp101 = static_cast<long>(tmp95);
2022-11-23T01:32:37.4697969Z                             auto tmp102 = tmp99 ? tmp101 : tmp21;
2022-11-23T01:32:37.4698104Z                             auto tmp103 = in_ptr1[tmp102 + (352*tmp100) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T01:32:37.4698258Z                             auto tmp104 = tmp95 - tmp76;
2022-11-23T01:32:37.4698355Z                             auto tmp105 = tmp84 + tmp26;
2022-11-23T01:32:37.4698495Z                             auto tmp106 = tmp105 - tmp83;
2022-11-23T01:32:37.4698595Z                             auto tmp107 = tmp104 * tmp106;
2022-11-23T01:32:37.4698701Z                             auto tmp108 = tmp89 ? tmp107 : tmp7;
2022-11-23T01:32:37.4698800Z                             auto tmp109 = tmp94 * tmp108;
2022-11-23T01:32:37.4698948Z                             auto tmp110 = tmp76 - tmp77;
2022-11-23T01:32:37.4699048Z                             auto tmp111 = tmp110 * tmp106;
2022-11-23T01:32:37.4699180Z                             auto tmp112 = tmp99 ? tmp111 : tmp7;
2022-11-23T01:32:37.4699265Z                             auto tmp113 = tmp103 * tmp112;
2022-11-23T01:32:37.4699359Z                             auto tmp114 = tmp109 + tmp113;
2022-11-23T01:32:37.4699457Z                             auto tmp115 = tmp105 >= tmp7;
2022-11-23T01:32:37.4699554Z                             auto tmp116 = tmp105 < tmp9;
2022-11-23T01:32:37.4699682Z                             auto tmp117 = tmp115 && tmp116;
2022-11-23T01:32:37.4699781Z                             auto tmp118 = tmp79 && tmp117;
2022-11-23T01:32:37.4699876Z                             auto tmp119 = tmp78 && tmp118;
2022-11-23T01:32:37.4699989Z                             auto tmp120 = static_cast<long>(tmp105);
2022-11-23T01:32:37.4700082Z                             auto tmp121 = tmp119 ? tmp120 : tmp21;
2022-11-23T01:32:37.4700187Z                             auto tmp122 = tmp119 ? tmp92 : tmp21;
2022-11-23T01:32:37.4700321Z                             auto tmp123 = in_ptr1[tmp122 + (352*tmp121) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T01:32:37.4700421Z                             auto tmp124 = tmp97 && tmp117;
2022-11-23T01:32:37.4700522Z                             auto tmp125 = tmp96 && tmp124;
2022-11-23T01:32:37.4700631Z                             auto tmp126 = tmp125 ? tmp120 : tmp21;
2022-11-23T01:32:37.4700735Z                             auto tmp127 = tmp125 ? tmp101 : tmp21;
2022-11-23T01:32:37.4700870Z                             auto tmp128 = in_ptr1[tmp127 + (352*tmp126) + (123904*tmp1) + (371712*tmp0)];
2022-11-23T01:32:37.4701009Z                             auto tmp129 = tmp83 - tmp84;
2022-11-23T01:32:37.4701107Z                             auto tmp130 = tmp104 * tmp129;
2022-11-23T01:32:37.4701211Z                             auto tmp131 = tmp119 ? tmp130 : tmp7;
2022-11-23T01:32:37.4701308Z                             auto tmp132 = tmp123 * tmp131;
2022-11-23T01:32:37.4701406Z                             auto tmp133 = tmp114 + tmp132;
2022-11-23T01:32:37.4701506Z                             auto tmp134 = tmp110 * tmp129;
2022-11-23T01:32:37.4701612Z                             auto tmp135 = tmp125 ? tmp134 : tmp7;
2022-11-23T01:32:37.4701694Z                             auto tmp136 = tmp128 * tmp135;
2022-11-23T01:32:37.4701791Z                             auto tmp137 = tmp133 + tmp136;
2022-11-23T01:32:37.4701904Z                             in_out_ptr0[i2 + (123904*i1) + (371712*i0)] = tmp69;
2022-11-23T01:32:37.4702018Z                             in_out_ptr2[i2 + (123904*i1) + (371712*i0)] = tmp137;
2022-11-23T01:32:37.4702088Z                         }
2022-11-23T01:32:37.4702155Z                     }
2022-11-23T01:32:37.4702220Z                 }
2022-11-23T01:32:37.4702271Z             }
2022-11-23T01:32:37.4702336Z         }
2022-11-23T01:32:37.4702398Z     }
2022-11-23T01:32:37.4702458Z }
2022-11-23T01:32:37.4702538Z ''')
2022-11-23T01:32:37.4702545Z 
2022-11-23T01:32:37.4702549Z 
2022-11-23T01:32:37.4702644Z async_compile.wait(globals())
2022-11-23T01:32:37.4702715Z del async_compile
2022-11-23T01:32:37.4702720Z 
2022-11-23T01:32:37.4702791Z def call(args):
2022-11-23T01:32:37.4702853Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.4702922Z     args.clear()
2022-11-23T01:32:37.4703153Z     buf0 = empty_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4703239Z     buf10 = buf0; del buf0  # reuse
2022-11-23T01:32:37.4703462Z     buf5 = empty_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4703545Z     buf6 = buf5; del buf5  # reuse
2022-11-23T01:32:37.4703769Z     buf8 = empty_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4703840Z     buf9 = buf8; del buf8  # reuse
2022-11-23T01:32:37.4704052Z     kernel_cpp_0(c_void_p(buf10.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()))
2022-11-23T01:32:37.4704151Z     del arg0_1
2022-11-23T01:32:37.4704217Z     del arg1_1
2022-11-23T01:32:37.4704295Z     return (buf10, buf9, )
2022-11-23T01:32:37.4704300Z 
2022-11-23T01:32:37.4704304Z 
2022-11-23T01:32:37.4704378Z if __name__ == "__main__":
2022-11-23T01:32:37.4704583Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4704709Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4705015Z     arg0_1 = rand_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4705239Z     arg1_1 = rand_strided((4, 352, 352, 2), (247808, 704, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4705355Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.4705723Z [2022-11-23 01:20:54,963] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pp/cppo5kx4s7li37srus3eqretyq7g3nbezso4yw2joprziqgi3b7n.py
2022-11-23T01:32:37.4705988Z [2022-11-23 01:20:54,963] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 184
2022-11-23T01:32:37.4705996Z 
2022-11-23T01:32:37.4706063Z ok (5.620s)
2022-11-23T01:32:37.4706374Z   test_hardsigmoid_cpu (__main__.CpuTests) ... [2022-11-23 01:20:55,822] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4706645Z [2022-11-23 01:20:55,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4706864Z [2022-11-23 01:20:55,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4707103Z [2022-11-23 01:20:55,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4707391Z [2022-11-23 01:20:55,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4707712Z [2022-11-23 01:20:55,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4708040Z [2022-11-23 01:20:55,823] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f641e5d0, file "inductor/test_torchinductor.py", line 2620> 
2022-11-23T01:32:37.4708135Z  2621           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:37.4708241Z                2 LOAD_METHOD              1 (hardsigmoid)
2022-11-23T01:32:37.4708332Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.4708425Z                6 CALL_METHOD              1
2022-11-23T01:32:37.4708515Z                8 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:37.4708603Z               10 LOAD_METHOD              1 (hardsigmoid)
2022-11-23T01:32:37.4708689Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:37.4708777Z               14 LOAD_CONST               1 (3)
2022-11-23T01:32:37.4708850Z               16 BINARY_ADD
2022-11-23T01:32:37.4708937Z               18 CALL_METHOD              1
2022-11-23T01:32:37.4709027Z               20 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:37.4709129Z               22 LOAD_METHOD              1 (hardsigmoid)
2022-11-23T01:32:37.4709203Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:37.4709288Z               26 LOAD_CONST               1 (3)
2022-11-23T01:32:37.4709368Z               28 BINARY_SUBTRACT
2022-11-23T01:32:37.4709455Z               30 CALL_METHOD              1
2022-11-23T01:32:37.4709544Z               32 BUILD_TUPLE              3
2022-11-23T01:32:37.4709618Z               34 RETURN_VALUE
2022-11-23T01:32:37.4709678Z  
2022-11-23T01:32:37.4709683Z 
2022-11-23T01:32:37.4709941Z [2022-11-23 01:20:55,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2621
2022-11-23T01:32:37.4710157Z [2022-11-23 01:20:55,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:32:37.4710570Z [2022-11-23 01:20:55,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardsigmoid [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:37.4710913Z [2022-11-23 01:20:55,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function hardsigmoid at 0x7f71ce642b00>)]
2022-11-23T01:32:37.4711242Z [2022-11-23 01:20:55,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function hardsigmoid at 0x7f71ce642b00>), TensorVariable()]
2022-11-23T01:32:37.4711508Z [2022-11-23 01:20:55,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()]
2022-11-23T01:32:37.4711951Z [2022-11-23 01:20:55,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardsigmoid [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:37.4712271Z [2022-11-23 01:20:55,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f71ce642b00>)]
2022-11-23T01:32:37.4712623Z [2022-11-23 01:20:55,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f71ce642b00>), TensorVariable()]
2022-11-23T01:32:37.4713015Z [2022-11-23 01:20:55,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f71ce642b00>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4713375Z [2022-11-23 01:20:55,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f71ce642b00>), TensorVariable()]
2022-11-23T01:32:37.4713649Z [2022-11-23 01:20:55,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4714106Z [2022-11-23 01:20:55,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardsigmoid [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:37.4714459Z [2022-11-23 01:20:55,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f71ce642b00>)]
2022-11-23T01:32:37.4714844Z [2022-11-23 01:20:55,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f71ce642b00>), TensorVariable()]
2022-11-23T01:32:37.4715275Z [2022-11-23 01:20:55,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f71ce642b00>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4715656Z [2022-11-23 01:20:55,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TorchVariable(<function hardsigmoid at 0x7f71ce642b00>), TensorVariable()]
2022-11-23T01:32:37.4715955Z [2022-11-23 01:20:55,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4716199Z [2022-11-23 01:20:55,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4716527Z [2022-11-23 01:20:55,851] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f641e5d0, file "inductor/test_torchinductor.py", line 2620>
2022-11-23T01:32:37.4716770Z [2022-11-23 01:20:55,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4717004Z [2022-11-23 01:20:55,851] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4717393Z [2022-11-23 01:20:55,853] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4717643Z [2022-11-23 01:20:55,875] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4717890Z [2022-11-23 01:20:55,875] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4718024Z  __compiled_fn_186 <eval_with_key>.1180 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4718115Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4718266Z call_function, hardsigmoid, <function hardsigmoid at 0x7f71ce642b00>, (ex_0_,), {}
2022-11-23T01:32:37.4718439Z call_function, add, <built-in function add>, (ex_0_, 3), {}
2022-11-23T01:32:37.4718622Z call_function, hardsigmoid_1, <function hardsigmoid at 0x7f71ce642b00>, (add,), {}
2022-11-23T01:32:37.4718794Z call_function, sub, <built-in function sub>, (ex_0_, 3), {}
2022-11-23T01:32:37.4718940Z call_function, hardsigmoid_2, <function hardsigmoid at 0x7f71ce642b00>, (sub,), {}
2022-11-23T01:32:37.4719068Z output, output, output, ((hardsigmoid, hardsigmoid_1, hardsigmoid_2),), {}
2022-11-23T01:32:37.4719073Z 
2022-11-23T01:32:37.4719353Z [2022-11-23 01:20:55,876] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4719452Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4719545Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4719637Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4719726Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4719805Z               8 RETURN_VALUE
2022-11-23T01:32:37.4719811Z 
2022-11-23T01:32:37.4719871Z  
2022-11-23T01:32:37.4720141Z [2022-11-23 01:20:55,876] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4720249Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_186)
2022-11-23T01:32:37.4720338Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4720427Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4720506Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4720594Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.4720697Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4720785Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4720872Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4720948Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.4721048Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4721134Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4721211Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.4721309Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4721383Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:37.4721457Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.4721544Z              30 BUILD_TUPLE              3
2022-11-23T01:32:37.4721618Z              32 RETURN_VALUE
2022-11-23T01:32:37.4721624Z 
2022-11-23T01:32:37.4721683Z  
2022-11-23T01:32:37.4721863Z [2022-11-23 01:20:55,877] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4721933Z  - 
2022-11-23T01:32:37.4722037Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4722099Z             {
2022-11-23T01:32:37.4722238Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4722422Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.4722540Z                 'obj_weakref': None
2022-11-23T01:32:37.4722764Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4722827Z             }
2022-11-23T01:32:37.4722890Z             
2022-11-23T01:32:37.4722945Z  - 
2022-11-23T01:32:37.4723066Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4723128Z             {
2022-11-23T01:32:37.4723269Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4723373Z                 'code': None,
2022-11-23T01:32:37.4723580Z                 'obj_weakref': <weakref at 0x7f70f2c815f0; to 'Tensor' at 0x7f70f2e3ec50>
2022-11-23T01:32:37.4723862Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4723911Z             }
2022-11-23T01:32:37.4723973Z             
2022-11-23T01:32:37.4724042Z  - 
2022-11-23T01:32:37.4724170Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4724233Z             {
2022-11-23T01:32:37.4724367Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4724561Z                 'code': ['___check_obj_id(model, 140123416696448)'],
2022-11-23T01:32:37.4724682Z                 'obj_weakref': None
2022-11-23T01:32:37.4724908Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4724971Z             }
2022-11-23T01:32:37.4725035Z             
2022-11-23T01:32:37.4725102Z  - 
2022-11-23T01:32:37.4725223Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4725273Z             {
2022-11-23T01:32:37.4725406Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4725621Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4725736Z                 'obj_weakref': None
2022-11-23T01:32:37.4725955Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4726018Z             }
2022-11-23T01:32:37.4726080Z             
2022-11-23T01:32:37.4726134Z  - 
2022-11-23T01:32:37.4726259Z             global 'F' FUNCTION_MATCH
2022-11-23T01:32:37.4726321Z             {
2022-11-23T01:32:37.4726437Z                 'guard_types': None,
2022-11-23T01:32:37.4726542Z                 'code': None,
2022-11-23T01:32:37.4726658Z                 'obj_weakref': None
2022-11-23T01:32:37.4726778Z                 'guarded_class': None
2022-11-23T01:32:37.4726827Z             }
2022-11-23T01:32:37.4726890Z             
2022-11-23T01:32:37.4727150Z [2022-11-23 01:20:55,916] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 185
2022-11-23T01:32:37.4727519Z [2022-11-23 01:20:58,495] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m6/cm6knnw3qvdd5rmzf5zv6xj4j4juirbhqevdb2fjdrgdu4cxzbxj.py
2022-11-23T01:32:37.4727781Z [2022-11-23 01:20:58,495] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 185
2022-11-23T01:32:37.4727787Z 
2022-11-23T01:32:37.4727881Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4727953Z import torch
2022-11-23T01:32:37.4728020Z import random
2022-11-23T01:32:37.4728121Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4728241Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4728246Z 
2022-11-23T01:32:37.4728323Z aten = torch.ops.aten
2022-11-23T01:32:37.4728456Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4728547Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4728552Z 
2022-11-23T01:32:37.4728557Z 
2022-11-23T01:32:37.4728690Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4728895Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4729012Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.4729099Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.4729194Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.4729291Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:37.4729351Z {
2022-11-23T01:32:37.4729448Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4729509Z     {
2022-11-23T01:32:37.4729585Z         #pragma omp for 
2022-11-23T01:32:37.4729654Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.4729716Z         {
2022-11-23T01:32:37.4729853Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.4729984Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T01:32:37.4730102Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4730234Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(0.0));
2022-11-23T01:32:37.4730342Z             auto tmp4 = at::vec::maximum(tmp2, tmp3);
2022-11-23T01:32:37.4730473Z             auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(6.0));
2022-11-23T01:32:37.4730567Z             auto tmp6 = at::vec::minimum(tmp4, tmp5);
2022-11-23T01:32:37.4730725Z             auto tmp7 = at::vec::Vectorized<float>(static_cast<float>(6));
2022-11-23T01:32:37.4730812Z             auto tmp8 = tmp6 / tmp7;
2022-11-23T01:32:37.4730894Z             auto tmp9 = tmp2 + tmp1;
2022-11-23T01:32:37.4731002Z             auto tmp10 = at::vec::maximum(tmp9, tmp3);
2022-11-23T01:32:37.4731108Z             auto tmp11 = at::vec::minimum(tmp10, tmp5);
2022-11-23T01:32:37.4731193Z             auto tmp12 = tmp11 / tmp7;
2022-11-23T01:32:37.4731319Z             auto tmp13 = tmp0 - tmp1;
2022-11-23T01:32:37.4731391Z             auto tmp14 = tmp13 + tmp1;
2022-11-23T01:32:37.4731499Z             auto tmp15 = at::vec::maximum(tmp14, tmp3);
2022-11-23T01:32:37.4731607Z             auto tmp16 = at::vec::minimum(tmp15, tmp5);
2022-11-23T01:32:37.4731692Z             auto tmp17 = tmp16 / tmp7;
2022-11-23T01:32:37.4731784Z             tmp8.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.4731880Z             tmp12.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.4731972Z             tmp17.store(out_ptr2 + 16*i0);
2022-11-23T01:32:37.4732024Z         }
2022-11-23T01:32:37.4732121Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.4732203Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:37.4732266Z         {
2022-11-23T01:32:37.4732350Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.4732448Z             auto tmp1 = static_cast<float>(3);
2022-11-23T01:32:37.4732531Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4732620Z             auto tmp3 = static_cast<float>(0.0);
2022-11-23T01:32:37.4732715Z             auto tmp4 = std::max(tmp2, tmp3);
2022-11-23T01:32:37.4732817Z             auto tmp5 = static_cast<float>(6.0);
2022-11-23T01:32:37.4732913Z             auto tmp6 = std::min(tmp4, tmp5);
2022-11-23T01:32:37.4733009Z             auto tmp7 = static_cast<float>(6);
2022-11-23T01:32:37.4733091Z             auto tmp8 = tmp6 / tmp7;
2022-11-23T01:32:37.4733173Z             auto tmp9 = tmp2 + tmp1;
2022-11-23T01:32:37.4733258Z             auto tmp10 = std::max(tmp9, tmp3);
2022-11-23T01:32:37.4733357Z             auto tmp11 = std::min(tmp10, tmp5);
2022-11-23T01:32:37.4733441Z             auto tmp12 = tmp11 / tmp7;
2022-11-23T01:32:37.4733565Z             auto tmp13 = tmp0 - tmp1;
2022-11-23T01:32:37.4733648Z             auto tmp14 = tmp13 + tmp1;
2022-11-23T01:32:37.4733745Z             auto tmp15 = std::max(tmp14, tmp3);
2022-11-23T01:32:37.4733842Z             auto tmp16 = std::min(tmp15, tmp5);
2022-11-23T01:32:37.4733925Z             auto tmp17 = tmp16 / tmp7;
2022-11-23T01:32:37.4733992Z             out_ptr0[i0] = tmp8;
2022-11-23T01:32:37.4734073Z             out_ptr1[i0] = tmp12;
2022-11-23T01:32:37.4734149Z             out_ptr2[i0] = tmp17;
2022-11-23T01:32:37.4734213Z         }
2022-11-23T01:32:37.4734274Z     }
2022-11-23T01:32:37.4734333Z }
2022-11-23T01:32:37.4734397Z ''')
2022-11-23T01:32:37.4734402Z 
2022-11-23T01:32:37.4734419Z 
2022-11-23T01:32:37.4734495Z async_compile.wait(globals())
2022-11-23T01:32:37.4734567Z del async_compile
2022-11-23T01:32:37.4734571Z 
2022-11-23T01:32:37.4734642Z def call(args):
2022-11-23T01:32:37.4734713Z     arg0_1, = args
2022-11-23T01:32:37.4734784Z     args.clear()
2022-11-23T01:32:37.4734976Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4735165Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4735341Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4735528Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:37.4735628Z     del arg0_1
2022-11-23T01:32:37.4735711Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:37.4735716Z 
2022-11-23T01:32:37.4735720Z 
2022-11-23T01:32:37.4735797Z if __name__ == "__main__":
2022-11-23T01:32:37.4735910Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4736033Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4736255Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4736353Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.4736358Z 
2022-11-23T01:32:37.4736425Z ok (2.687s)
2022-11-23T01:32:37.4736736Z   test_hardswish_cpu (__main__.CpuTests) ... [2022-11-23 01:20:58,512] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4737007Z [2022-11-23 01:20:58,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4737228Z [2022-11-23 01:20:58,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4737482Z [2022-11-23 01:20:58,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4737767Z [2022-11-23 01:20:58,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4738093Z [2022-11-23 01:20:58,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4738421Z [2022-11-23 01:20:58,513] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f641e6f0, file "inductor/test_torchinductor.py", line 2629> 
2022-11-23T01:32:37.4738504Z  2630           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:37.4738607Z                2 LOAD_METHOD              1 (hardswish)
2022-11-23T01:32:37.4738697Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.4738789Z                6 CALL_METHOD              1
2022-11-23T01:32:37.4738881Z                8 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:37.4738981Z               10 LOAD_METHOD              1 (hardswish)
2022-11-23T01:32:37.4739069Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:37.4739159Z               14 LOAD_CONST               1 (3)
2022-11-23T01:32:37.4739219Z               16 BINARY_ADD
2022-11-23T01:32:37.4739309Z               18 CALL_METHOD              1
2022-11-23T01:32:37.4739402Z               20 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:37.4739501Z               22 LOAD_METHOD              1 (hardswish)
2022-11-23T01:32:37.4739588Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:37.4739676Z               26 LOAD_CONST               1 (3)
2022-11-23T01:32:37.4739758Z               28 BINARY_SUBTRACT
2022-11-23T01:32:37.4739833Z               30 CALL_METHOD              1
2022-11-23T01:32:37.4739921Z               32 BUILD_TUPLE              3
2022-11-23T01:32:37.4740000Z               34 RETURN_VALUE
2022-11-23T01:32:37.4740062Z  
2022-11-23T01:32:37.4740067Z 
2022-11-23T01:32:37.4740335Z [2022-11-23 01:20:58,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2630
2022-11-23T01:32:37.4740549Z [2022-11-23 01:20:58,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:32:37.4740962Z [2022-11-23 01:20:58,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:37.4741259Z [2022-11-23 01:20:58,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function hardswish at 0x7f71ce642cb0>)]
2022-11-23T01:32:37.4741573Z [2022-11-23 01:20:58,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function hardswish at 0x7f71ce642cb0>), TensorVariable()]
2022-11-23T01:32:37.4741848Z [2022-11-23 01:20:58,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()]
2022-11-23T01:32:37.4742289Z [2022-11-23 01:20:58,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:37.4742638Z [2022-11-23 01:20:58,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<function hardswish at 0x7f71ce642cb0>)]
2022-11-23T01:32:37.4742991Z [2022-11-23 01:20:58,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(<function hardswish at 0x7f71ce642cb0>), TensorVariable()]
2022-11-23T01:32:37.4743384Z [2022-11-23 01:20:58,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<function hardswish at 0x7f71ce642cb0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4743738Z [2022-11-23 01:20:58,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<function hardswish at 0x7f71ce642cb0>), TensorVariable()]
2022-11-23T01:32:37.4744009Z [2022-11-23 01:20:58,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4744573Z [2022-11-23 01:20:58,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:37.4744928Z [2022-11-23 01:20:58,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<function hardswish at 0x7f71ce642cb0>)]
2022-11-23T01:32:37.4745303Z [2022-11-23 01:20:58,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TorchVariable(<function hardswish at 0x7f71ce642cb0>), TensorVariable()]
2022-11-23T01:32:37.4745733Z [2022-11-23 01:20:58,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(<function hardswish at 0x7f71ce642cb0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4746115Z [2022-11-23 01:20:58,542] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TorchVariable(<function hardswish at 0x7f71ce642cb0>), TensorVariable()]
2022-11-23T01:32:37.4746417Z [2022-11-23 01:20:58,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4746650Z [2022-11-23 01:20:58,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4746980Z [2022-11-23 01:20:58,550] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f641e6f0, file "inductor/test_torchinductor.py", line 2629>
2022-11-23T01:32:37.4747228Z [2022-11-23 01:20:58,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4747466Z [2022-11-23 01:20:58,550] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4747721Z [2022-11-23 01:20:58,552] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4747971Z [2022-11-23 01:20:58,577] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4748159Z [2022-11-23 01:20:58,578] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4748293Z  __compiled_fn_187 <eval_with_key>.1186 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4748384Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4748514Z call_function, hardswish, <function hardswish at 0x7f71ce642cb0>, (ex_0_,), {}
2022-11-23T01:32:37.4748686Z call_function, add, <built-in function add>, (ex_0_, 3), {}
2022-11-23T01:32:37.4748825Z call_function, hardswish_1, <function hardswish at 0x7f71ce642cb0>, (add,), {}
2022-11-23T01:32:37.4749032Z call_function, sub, <built-in function sub>, (ex_0_, 3), {}
2022-11-23T01:32:37.4749170Z call_function, hardswish_2, <function hardswish at 0x7f71ce642cb0>, (sub,), {}
2022-11-23T01:32:37.4749301Z output, output, output, ((hardswish, hardswish_1, hardswish_2),), {}
2022-11-23T01:32:37.4749307Z 
2022-11-23T01:32:37.4749630Z [2022-11-23 01:20:58,578] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4749724Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4749801Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4749891Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4749980Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4750055Z               8 RETURN_VALUE
2022-11-23T01:32:37.4750060Z 
2022-11-23T01:32:37.4750121Z  
2022-11-23T01:32:37.4750396Z [2022-11-23 01:20:58,578] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4750505Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_187)
2022-11-23T01:32:37.4750592Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4750669Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4750746Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4750833Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.4750936Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4751035Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4751124Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4751200Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.4751286Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4751377Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4751454Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.4751557Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4751645Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:37.4751721Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.4751807Z              30 BUILD_TUPLE              3
2022-11-23T01:32:37.4751869Z              32 RETURN_VALUE
2022-11-23T01:32:37.4751873Z 
2022-11-23T01:32:37.4751932Z  
2022-11-23T01:32:37.4752112Z [2022-11-23 01:20:58,580] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4752182Z  - 
2022-11-23T01:32:37.4752299Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4752363Z             {
2022-11-23T01:32:37.4752501Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4752674Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.4752790Z                 'obj_weakref': None
2022-11-23T01:32:37.4753011Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4753078Z             }
2022-11-23T01:32:37.4753142Z             
2022-11-23T01:32:37.4753209Z  - 
2022-11-23T01:32:37.4753331Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4753381Z             {
2022-11-23T01:32:37.4753523Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4753629Z                 'code': None,
2022-11-23T01:32:37.4753837Z                 'obj_weakref': <weakref at 0x7f70f29602f0; to 'Tensor' at 0x7f70f2d7ad70>
2022-11-23T01:32:37.4754088Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4754152Z             }
2022-11-23T01:32:37.4754215Z             
2022-11-23T01:32:37.4754270Z  - 
2022-11-23T01:32:37.4754399Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4754460Z             {
2022-11-23T01:32:37.4754592Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4754763Z                 'code': ['___check_obj_id(model, 140123088146800)'],
2022-11-23T01:32:37.4754912Z                 'obj_weakref': None
2022-11-23T01:32:37.4755140Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4755190Z             }
2022-11-23T01:32:37.4755251Z             
2022-11-23T01:32:37.4755320Z  - 
2022-11-23T01:32:37.4755439Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4755502Z             {
2022-11-23T01:32:37.4755636Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4755879Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4755985Z                 'obj_weakref': None
2022-11-23T01:32:37.4756201Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4756264Z             }
2022-11-23T01:32:37.4756325Z             
2022-11-23T01:32:37.4756393Z  - 
2022-11-23T01:32:37.4756516Z             global 'F' FUNCTION_MATCH
2022-11-23T01:32:37.4756583Z             {
2022-11-23T01:32:37.4756688Z                 'guard_types': None,
2022-11-23T01:32:37.4756793Z                 'code': None,
2022-11-23T01:32:37.4756909Z                 'obj_weakref': None
2022-11-23T01:32:37.4757029Z                 'guarded_class': None
2022-11-23T01:32:37.4757091Z             }
2022-11-23T01:32:37.4757284Z             
2022-11-23T01:32:37.4757548Z [2022-11-23 01:20:58,623] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 186
2022-11-23T01:32:37.4757900Z [2022-11-23 01:21:01,217] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/33/c33kwii665ugy7yy6ygxb5zgve2ejqyiqzbjopqlg72vreq66ntw.py
2022-11-23T01:32:37.4758168Z [2022-11-23 01:21:01,218] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 186
2022-11-23T01:32:37.4758174Z 
2022-11-23T01:32:37.4758268Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4758338Z import torch
2022-11-23T01:32:37.4758408Z import random
2022-11-23T01:32:37.4758526Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4758647Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4758652Z 
2022-11-23T01:32:37.4758731Z aten = torch.ops.aten
2022-11-23T01:32:37.4758851Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4758943Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4758948Z 
2022-11-23T01:32:37.4758953Z 
2022-11-23T01:32:37.4759088Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4759290Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4759410Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.4759511Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.4759609Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.4759701Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:37.4759748Z {
2022-11-23T01:32:37.4759847Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4759908Z     {
2022-11-23T01:32:37.4759985Z         #pragma omp for 
2022-11-23T01:32:37.4760066Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.4760131Z         {
2022-11-23T01:32:37.4760266Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.4760434Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T01:32:37.4760519Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4760654Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(0.0));
2022-11-23T01:32:37.4760761Z             auto tmp4 = at::vec::maximum(tmp2, tmp3);
2022-11-23T01:32:37.4760892Z             auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(6.0));
2022-11-23T01:32:37.4760998Z             auto tmp6 = at::vec::minimum(tmp4, tmp5);
2022-11-23T01:32:37.4761081Z             auto tmp7 = tmp0 * tmp6;
2022-11-23T01:32:37.4761211Z             auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(6));
2022-11-23T01:32:37.4761359Z             auto tmp9 = tmp7 / tmp8;
2022-11-23T01:32:37.4761443Z             auto tmp10 = tmp2 + tmp1;
2022-11-23T01:32:37.4761552Z             auto tmp11 = at::vec::maximum(tmp10, tmp3);
2022-11-23T01:32:37.4761659Z             auto tmp12 = at::vec::minimum(tmp11, tmp5);
2022-11-23T01:32:37.4761792Z             auto tmp13 = tmp2 * tmp12;
2022-11-23T01:32:37.4761876Z             auto tmp14 = tmp13 / tmp8;
2022-11-23T01:32:37.4762041Z             auto tmp15 = tmp0 - tmp1;
2022-11-23T01:32:37.4762113Z             auto tmp16 = tmp15 + tmp1;
2022-11-23T01:32:37.4762221Z             auto tmp17 = at::vec::maximum(tmp16, tmp3);
2022-11-23T01:32:37.4762327Z             auto tmp18 = at::vec::minimum(tmp17, tmp5);
2022-11-23T01:32:37.4762414Z             auto tmp19 = tmp15 * tmp18;
2022-11-23T01:32:37.4762499Z             auto tmp20 = tmp19 / tmp8;
2022-11-23T01:32:37.4762592Z             tmp9.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.4762688Z             tmp14.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.4762778Z             tmp20.store(out_ptr2 + 16*i0);
2022-11-23T01:32:37.4762829Z         }
2022-11-23T01:32:37.4762925Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.4763006Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:37.4763069Z         {
2022-11-23T01:32:37.4763153Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.4763250Z             auto tmp1 = static_cast<float>(3);
2022-11-23T01:32:37.4763323Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4763427Z             auto tmp3 = static_cast<float>(0.0);
2022-11-23T01:32:37.4763525Z             auto tmp4 = std::max(tmp2, tmp3);
2022-11-23T01:32:37.4763626Z             auto tmp5 = static_cast<float>(6.0);
2022-11-23T01:32:37.4763725Z             auto tmp6 = std::min(tmp4, tmp5);
2022-11-23T01:32:37.4763811Z             auto tmp7 = tmp0 * tmp6;
2022-11-23T01:32:37.4763910Z             auto tmp8 = static_cast<float>(6);
2022-11-23T01:32:37.4763994Z             auto tmp9 = tmp7 / tmp8;
2022-11-23T01:32:37.4764067Z             auto tmp10 = tmp2 + tmp1;
2022-11-23T01:32:37.4764168Z             auto tmp11 = std::max(tmp10, tmp3);
2022-11-23T01:32:37.4764265Z             auto tmp12 = std::min(tmp11, tmp5);
2022-11-23T01:32:37.4764350Z             auto tmp13 = tmp2 * tmp12;
2022-11-23T01:32:37.4764434Z             auto tmp14 = tmp13 / tmp8;
2022-11-23T01:32:37.4764559Z             auto tmp15 = tmp0 - tmp1;
2022-11-23T01:32:37.4764645Z             auto tmp16 = tmp15 + tmp1;
2022-11-23T01:32:37.4764729Z             auto tmp17 = std::max(tmp16, tmp3);
2022-11-23T01:32:37.4764825Z             auto tmp18 = std::min(tmp17, tmp5);
2022-11-23T01:32:37.4764911Z             auto tmp19 = tmp15 * tmp18;
2022-11-23T01:32:37.4764994Z             auto tmp20 = tmp19 / tmp8;
2022-11-23T01:32:37.4765073Z             out_ptr0[i0] = tmp9;
2022-11-23T01:32:37.4765152Z             out_ptr1[i0] = tmp14;
2022-11-23T01:32:37.4765230Z             out_ptr2[i0] = tmp20;
2022-11-23T01:32:37.4765282Z         }
2022-11-23T01:32:37.4765342Z     }
2022-11-23T01:32:37.4765402Z }
2022-11-23T01:32:37.4765479Z ''')
2022-11-23T01:32:37.4765484Z 
2022-11-23T01:32:37.4765489Z 
2022-11-23T01:32:37.4765577Z async_compile.wait(globals())
2022-11-23T01:32:37.4765648Z del async_compile
2022-11-23T01:32:37.4765653Z 
2022-11-23T01:32:37.4765722Z def call(args):
2022-11-23T01:32:37.4765779Z     arg0_1, = args
2022-11-23T01:32:37.4765850Z     args.clear()
2022-11-23T01:32:37.4766046Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4766235Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4766421Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4766610Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:37.4766678Z     del arg0_1
2022-11-23T01:32:37.4766761Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:37.4766801Z 
2022-11-23T01:32:37.4766805Z 
2022-11-23T01:32:37.4766870Z if __name__ == "__main__":
2022-11-23T01:32:37.4766983Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4767104Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4767295Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4767401Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.4767406Z 
2022-11-23T01:32:37.4767499Z ok (2.720s)
2022-11-23T01:32:37.4767806Z   test_hardtanh_cpu (__main__.CpuTests) ... [2022-11-23 01:21:01,230] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4768077Z [2022-11-23 01:21:01,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4768280Z [2022-11-23 01:21:01,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4768531Z [2022-11-23 01:21:01,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4768859Z [2022-11-23 01:21:01,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4769178Z [2022-11-23 01:21:01,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4769504Z [2022-11-23 01:21:01,230] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f641e4b0, file "inductor/test_torchinductor.py", line 2611> 
2022-11-23T01:32:37.4769599Z  2612           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:37.4769700Z                2 LOAD_METHOD              1 (hardtanh)
2022-11-23T01:32:37.4769790Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.4769879Z                6 CALL_METHOD              1
2022-11-23T01:32:37.4769957Z                8 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:37.4770055Z               10 LOAD_METHOD              1 (hardtanh)
2022-11-23T01:32:37.4770142Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:37.4770228Z               14 LOAD_CONST               1 (1)
2022-11-23T01:32:37.4770301Z               16 BINARY_ADD
2022-11-23T01:32:37.4770387Z               18 CALL_METHOD              1
2022-11-23T01:32:37.4770475Z               20 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:37.4770560Z               22 LOAD_METHOD              1 (hardtanh)
2022-11-23T01:32:37.4770646Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:37.4770732Z               26 LOAD_CONST               1 (1)
2022-11-23T01:32:37.4770811Z               28 BINARY_SUBTRACT
2022-11-23T01:32:37.4770898Z               30 CALL_METHOD              1
2022-11-23T01:32:37.4770984Z               32 BUILD_TUPLE              3
2022-11-23T01:32:37.4771058Z               34 RETURN_VALUE
2022-11-23T01:32:37.4771106Z  
2022-11-23T01:32:37.4771110Z 
2022-11-23T01:32:37.4771383Z [2022-11-23 01:21:01,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2612
2022-11-23T01:32:37.4771596Z [2022-11-23 01:21:01,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:32:37.4772009Z [2022-11-23 01:21:01,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:37.4772300Z [2022-11-23 01:21:01,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function hardtanh at 0x7f71ce642200>)]
2022-11-23T01:32:37.4772623Z [2022-11-23 01:21:01,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function hardtanh at 0x7f71ce642200>), TensorVariable()]
2022-11-23T01:32:37.4772864Z [2022-11-23 01:21:01,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()]
2022-11-23T01:32:37.4773303Z [2022-11-23 01:21:01,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:37.4773651Z [2022-11-23 01:21:01,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<function hardtanh at 0x7f71ce642200>)]
2022-11-23T01:32:37.4774021Z [2022-11-23 01:21:01,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<function hardtanh at 0x7f71ce642200>), TensorVariable()]
2022-11-23T01:32:37.4774412Z [2022-11-23 01:21:01,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<function hardtanh at 0x7f71ce642200>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4774759Z [2022-11-23 01:21:01,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<function hardtanh at 0x7f71ce642200>), TensorVariable()]
2022-11-23T01:32:37.4775015Z [2022-11-23 01:21:01,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4775479Z [2022-11-23 01:21:01,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:37.4775827Z [2022-11-23 01:21:01,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<function hardtanh at 0x7f71ce642200>)]
2022-11-23T01:32:37.4776200Z [2022-11-23 01:21:01,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<function hardtanh at 0x7f71ce642200>), TensorVariable()]
2022-11-23T01:32:37.4776626Z [2022-11-23 01:21:01,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(<function hardtanh at 0x7f71ce642200>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4777004Z [2022-11-23 01:21:01,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TorchVariable(<function hardtanh at 0x7f71ce642200>), TensorVariable()]
2022-11-23T01:32:37.4777300Z [2022-11-23 01:21:01,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4777548Z [2022-11-23 01:21:01,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4777876Z [2022-11-23 01:21:01,251] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f641e4b0, file "inductor/test_torchinductor.py", line 2611>
2022-11-23T01:32:37.4778122Z [2022-11-23 01:21:01,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4778354Z [2022-11-23 01:21:01,252] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4778608Z [2022-11-23 01:21:01,254] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4778843Z [2022-11-23 01:21:01,269] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4779028Z [2022-11-23 01:21:01,269] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4779162Z  __compiled_fn_188 <eval_with_key>.1192 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4779251Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4779390Z call_function, hardtanh, <function hardtanh at 0x7f71ce642200>, (ex_0_,), {}
2022-11-23T01:32:37.4779559Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.4779692Z call_function, hardtanh_1, <function hardtanh at 0x7f71ce642200>, (add,), {}
2022-11-23T01:32:37.4779857Z call_function, sub, <built-in function sub>, (ex_0_, 1), {}
2022-11-23T01:32:37.4780006Z call_function, hardtanh_2, <function hardtanh at 0x7f71ce642200>, (sub,), {}
2022-11-23T01:32:37.4780136Z output, output, output, ((hardtanh, hardtanh_1, hardtanh_2),), {}
2022-11-23T01:32:37.4780142Z 
2022-11-23T01:32:37.4780416Z [2022-11-23 01:21:01,270] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4780511Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4780630Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4780723Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4780811Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4780887Z               8 RETURN_VALUE
2022-11-23T01:32:37.4780893Z 
2022-11-23T01:32:37.4780943Z  
2022-11-23T01:32:37.4781219Z [2022-11-23 01:21:01,270] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4781326Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_188)
2022-11-23T01:32:37.4781422Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4781510Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4781588Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4781678Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.4781768Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4781871Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4781964Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4782042Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.4782142Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4782230Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4782307Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.4782394Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4782482Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:37.4782560Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.4782647Z              30 BUILD_TUPLE              3
2022-11-23T01:32:37.4782723Z              32 RETURN_VALUE
2022-11-23T01:32:37.4782728Z 
2022-11-23T01:32:37.4782791Z  
2022-11-23T01:32:37.4782974Z [2022-11-23 01:21:01,272] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4783045Z  - 
2022-11-23T01:32:37.4783151Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4783216Z             {
2022-11-23T01:32:37.4783358Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4783546Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.4783665Z                 'obj_weakref': None
2022-11-23T01:32:37.4783891Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4783956Z             }
2022-11-23T01:32:37.4784007Z             
2022-11-23T01:32:37.4784077Z  - 
2022-11-23T01:32:37.4784201Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4784268Z             {
2022-11-23T01:32:37.4784411Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4784634Z                 'code': None,
2022-11-23T01:32:37.4784834Z                 'obj_weakref': <weakref at 0x7f70f2d99a10; to 'Tensor' at 0x7f70f29496b0>
2022-11-23T01:32:37.4785084Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4785148Z             }
2022-11-23T01:32:37.4785215Z             
2022-11-23T01:32:37.4785284Z  - 
2022-11-23T01:32:37.4785415Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4785481Z             {
2022-11-23T01:32:37.4785602Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4785775Z                 'code': ['___check_obj_id(model, 140123422018880)'],
2022-11-23T01:32:37.4785893Z                 'obj_weakref': None
2022-11-23T01:32:37.4786121Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4786224Z             }
2022-11-23T01:32:37.4786289Z             
2022-11-23T01:32:37.4786357Z  - 
2022-11-23T01:32:37.4786465Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4786529Z             {
2022-11-23T01:32:37.4786666Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4786884Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4787068Z                 'obj_weakref': None
2022-11-23T01:32:37.4787287Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4787350Z             }
2022-11-23T01:32:37.4787410Z             
2022-11-23T01:32:37.4787465Z  - 
2022-11-23T01:32:37.4787588Z             global 'F' FUNCTION_MATCH
2022-11-23T01:32:37.4787650Z             {
2022-11-23T01:32:37.4787769Z                 'guard_types': None,
2022-11-23T01:32:37.4787876Z                 'code': None,
2022-11-23T01:32:37.4787996Z                 'obj_weakref': None
2022-11-23T01:32:37.4788105Z                 'guarded_class': None
2022-11-23T01:32:37.4788167Z             }
2022-11-23T01:32:37.4788230Z             
2022-11-23T01:32:37.4788489Z [2022-11-23 01:21:01,301] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 187
2022-11-23T01:32:37.4788859Z [2022-11-23 01:21:03,875] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mt/cmtbxeeezbufla2bdtl663dnqsjez3psdcdu6mof4rnskwzg3vpk.py
2022-11-23T01:32:37.4789122Z [2022-11-23 01:21:03,875] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 187
2022-11-23T01:32:37.4789128Z 
2022-11-23T01:32:37.4789224Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4789294Z import torch
2022-11-23T01:32:37.4789350Z import random
2022-11-23T01:32:37.4789465Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4789587Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4789594Z 
2022-11-23T01:32:37.4789671Z aten = torch.ops.aten
2022-11-23T01:32:37.4789805Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4789896Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4789901Z 
2022-11-23T01:32:37.4789905Z 
2022-11-23T01:32:37.4790037Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4790242Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4790350Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.4790449Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.4790544Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.4790637Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:37.4790697Z {
2022-11-23T01:32:37.4790795Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4790856Z     {
2022-11-23T01:32:37.4790920Z         #pragma omp for 
2022-11-23T01:32:37.4791003Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.4791065Z         {
2022-11-23T01:32:37.4791199Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.4791399Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(-1.0));
2022-11-23T01:32:37.4791506Z             auto tmp2 = at::vec::maximum(tmp0, tmp1);
2022-11-23T01:32:37.4791639Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1.0));
2022-11-23T01:32:37.4791746Z             auto tmp4 = at::vec::minimum(tmp2, tmp3);
2022-11-23T01:32:37.4791863Z             auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.4791947Z             auto tmp6 = tmp0 + tmp5;
2022-11-23T01:32:37.4792051Z             auto tmp7 = at::vec::maximum(tmp6, tmp1);
2022-11-23T01:32:37.4792155Z             auto tmp8 = at::vec::minimum(tmp7, tmp3);
2022-11-23T01:32:37.4792277Z             auto tmp9 = tmp0 - tmp5;
2022-11-23T01:32:37.4792384Z             auto tmp10 = at::vec::maximum(tmp9, tmp1);
2022-11-23T01:32:37.4792522Z             auto tmp11 = at::vec::minimum(tmp10, tmp3);
2022-11-23T01:32:37.4792614Z             tmp4.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.4792691Z             tmp8.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.4792783Z             tmp11.store(out_ptr2 + 16*i0);
2022-11-23T01:32:37.4792845Z         }
2022-11-23T01:32:37.4792938Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.4793021Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:37.4793123Z         {
2022-11-23T01:32:37.4793207Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.4793343Z             auto tmp1 = static_cast<float>(-1.0);
2022-11-23T01:32:37.4793440Z             auto tmp2 = std::max(tmp0, tmp1);
2022-11-23T01:32:37.4793539Z             auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:32:37.4793635Z             auto tmp4 = std::min(tmp2, tmp3);
2022-11-23T01:32:37.4793732Z             auto tmp5 = static_cast<float>(1);
2022-11-23T01:32:37.4793815Z             auto tmp6 = tmp0 + tmp5;
2022-11-23T01:32:37.4793913Z             auto tmp7 = std::max(tmp6, tmp1);
2022-11-23T01:32:37.4793994Z             auto tmp8 = std::min(tmp7, tmp3);
2022-11-23T01:32:37.4794114Z             auto tmp9 = tmp0 - tmp5;
2022-11-23T01:32:37.4794213Z             auto tmp10 = std::max(tmp9, tmp1);
2022-11-23T01:32:37.4794314Z             auto tmp11 = std::min(tmp10, tmp3);
2022-11-23T01:32:37.4794396Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:37.4794477Z             out_ptr1[i0] = tmp8;
2022-11-23T01:32:37.4794557Z             out_ptr2[i0] = tmp11;
2022-11-23T01:32:37.4794606Z         }
2022-11-23T01:32:37.4794666Z     }
2022-11-23T01:32:37.4794726Z }
2022-11-23T01:32:37.4794804Z ''')
2022-11-23T01:32:37.4794809Z 
2022-11-23T01:32:37.4794813Z 
2022-11-23T01:32:37.4794902Z async_compile.wait(globals())
2022-11-23T01:32:37.4794975Z del async_compile
2022-11-23T01:32:37.4794981Z 
2022-11-23T01:32:37.4795052Z def call(args):
2022-11-23T01:32:37.4795122Z     arg0_1, = args
2022-11-23T01:32:37.4795183Z     args.clear()
2022-11-23T01:32:37.4795377Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4795569Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4795756Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4795944Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:37.4796014Z     del arg0_1
2022-11-23T01:32:37.4796097Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:37.4796101Z 
2022-11-23T01:32:37.4796106Z 
2022-11-23T01:32:37.4796179Z if __name__ == "__main__":
2022-11-23T01:32:37.4796280Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4796401Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4796591Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4796697Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.4796704Z 
2022-11-23T01:32:37.4796772Z ok (2.658s)
2022-11-23T01:32:37.4797089Z   test_horizonal_fusion1_cpu (__main__.CpuTests) ... [2022-11-23 01:21:03,890] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4797489Z [2022-11-23 01:21:03,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4797708Z [2022-11-23 01:21:03,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4797949Z [2022-11-23 01:21:03,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4798235Z [2022-11-23 01:21:03,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4798557Z [2022-11-23 01:21:03,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4798942Z [2022-11-23 01:21:03,891] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6468a50, file "inductor/test_torchinductor.py", line 688> 
2022-11-23T01:32:37.4799040Z  689           0 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4799134Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4799208Z               4 BINARY_ADD
2022-11-23T01:32:37.4799294Z               6 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4799404Z               8 LOAD_FAST                2 (c)
2022-11-23T01:32:37.4799483Z              10 BINARY_SUBTRACT
2022-11-23T01:32:37.4799572Z              12 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4799657Z              14 LOAD_FAST                2 (c)
2022-11-23T01:32:37.4799736Z              16 BINARY_MULTIPLY
2022-11-23T01:32:37.4799827Z              18 BUILD_TUPLE              3
2022-11-23T01:32:37.4799904Z              20 RETURN_VALUE
2022-11-23T01:32:37.4799953Z  
2022-11-23T01:32:37.4799960Z 
2022-11-23T01:32:37.4800228Z [2022-11-23 01:21:03,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:689
2022-11-23T01:32:37.4800434Z [2022-11-23 01:21:03,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.4800670Z [2022-11-23 01:21:03,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:37.4800942Z [2022-11-23 01:21:03,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4801175Z [2022-11-23 01:21:03,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:37.4801436Z [2022-11-23 01:21:03,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4801742Z [2022-11-23 01:21:03,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4802001Z [2022-11-23 01:21:03,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4802288Z [2022-11-23 01:21:03,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4802613Z [2022-11-23 01:21:03,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4802908Z [2022-11-23 01:21:03,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4803152Z [2022-11-23 01:21:03,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4803478Z [2022-11-23 01:21:03,898] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6468a50, file "inductor/test_torchinductor.py", line 688>
2022-11-23T01:32:37.4803721Z [2022-11-23 01:21:03,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4803954Z [2022-11-23 01:21:03,899] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4804205Z [2022-11-23 01:21:03,900] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4804455Z [2022-11-23 01:21:03,908] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4804642Z [2022-11-23 01:21:03,909] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4804762Z  __compiled_fn_189 <eval_with_key>.1198 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4804858Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4804943Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.4805026Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.4805201Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.4805410Z call_function, sub, <built-in function sub>, (ex_0_, ex_2_), {}
2022-11-23T01:32:37.4805581Z call_function, mul, <built-in function mul>, (ex_1_, ex_2_), {}
2022-11-23T01:32:37.4805686Z output, output, output, ((add, sub, mul),), {}
2022-11-23T01:32:37.4805691Z 
2022-11-23T01:32:37.4805955Z [2022-11-23 01:21:03,909] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4806074Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4806165Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4806256Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4806345Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4806420Z               8 RETURN_VALUE
2022-11-23T01:32:37.4806426Z 
2022-11-23T01:32:37.4806486Z  
2022-11-23T01:32:37.4806762Z [2022-11-23 01:21:03,910] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4806858Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_189)
2022-11-23T01:32:37.4806946Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4807033Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4807110Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4807197Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4807283Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4807359Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.4807433Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4807516Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.4807590Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.4807679Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.4807783Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4807885Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4807973Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4808038Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.4808139Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4808227Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4808300Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.4808398Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4808484Z              38 LOAD_CONST               3 (2)
2022-11-23T01:32:37.4808559Z              40 BINARY_SUBSCR
2022-11-23T01:32:37.4808634Z              42 BUILD_TUPLE              3
2022-11-23T01:32:37.4808717Z              44 RETURN_VALUE
2022-11-23T01:32:37.4808722Z 
2022-11-23T01:32:37.4808781Z  
2022-11-23T01:32:37.4808961Z [2022-11-23 01:21:03,911] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4809032Z  - 
2022-11-23T01:32:37.4809148Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4809212Z             {
2022-11-23T01:32:37.4809339Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4809525Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 3'],
2022-11-23T01:32:37.4809643Z                 'obj_weakref': None
2022-11-23T01:32:37.4809865Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4809928Z             }
2022-11-23T01:32:37.4809992Z             
2022-11-23T01:32:37.4810064Z  - 
2022-11-23T01:32:37.4810176Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4810238Z             {
2022-11-23T01:32:37.4810378Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4810483Z                 'code': None,
2022-11-23T01:32:37.4810695Z                 'obj_weakref': <weakref at 0x7f71c0ea7410; to 'Tensor' at 0x7f7106763b30>
2022-11-23T01:32:37.4810944Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4811008Z             }
2022-11-23T01:32:37.4811101Z             
2022-11-23T01:32:37.4811158Z  - 
2022-11-23T01:32:37.4811279Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.4811342Z             {
2022-11-23T01:32:37.4811483Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4811587Z                 'code': None,
2022-11-23T01:32:37.4811794Z                 'obj_weakref': <weakref at 0x7f71c0ea72f0; to 'Tensor' at 0x7f70f2933e90>
2022-11-23T01:32:37.4812066Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4812118Z             }
2022-11-23T01:32:37.4812180Z             
2022-11-23T01:32:37.4812248Z  - 
2022-11-23T01:32:37.4812370Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.4812433Z             {
2022-11-23T01:32:37.4812571Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4812663Z                 'code': None,
2022-11-23T01:32:37.4812869Z                 'obj_weakref': <weakref at 0x7f71c0ea7bf0; to 'Tensor' at 0x7f70f2933bf0>
2022-11-23T01:32:37.4813111Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4813175Z             }
2022-11-23T01:32:37.4813238Z             
2022-11-23T01:32:37.4813305Z  - 
2022-11-23T01:32:37.4813435Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4813484Z             {
2022-11-23T01:32:37.4813617Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4813786Z                 'code': ['___check_obj_id(model, 140123421419856)'],
2022-11-23T01:32:37.4813905Z                 'obj_weakref': None
2022-11-23T01:32:37.4814129Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4814192Z             }
2022-11-23T01:32:37.4814258Z             
2022-11-23T01:32:37.4814313Z  - 
2022-11-23T01:32:37.4814432Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4814492Z             {
2022-11-23T01:32:37.4814630Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4814847Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4814964Z                 'obj_weakref': None
2022-11-23T01:32:37.4815181Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4815245Z             }
2022-11-23T01:32:37.4815294Z             
2022-11-23T01:32:37.4815556Z [2022-11-23 01:21:03,923] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 188
2022-11-23T01:32:37.4815928Z [2022-11-23 01:21:06,527] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gw/cgwlgn3r6sitsgqribmiqkgflg7yxjnhseyrmmovaorqehhlp72c.py
2022-11-23T01:32:37.4816188Z [2022-11-23 01:21:06,528] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 188
2022-11-23T01:32:37.4816193Z 
2022-11-23T01:32:37.4816287Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4816358Z import torch
2022-11-23T01:32:37.4816425Z import random
2022-11-23T01:32:37.4816529Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4816648Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4816653Z 
2022-11-23T01:32:37.4816733Z aten = torch.ops.aten
2022-11-23T01:32:37.4816867Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4816958Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4816964Z 
2022-11-23T01:32:37.4816970Z 
2022-11-23T01:32:37.4817102Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4817304Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4817425Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.4817531Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.4817620Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.4817719Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.4817847Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.4817946Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:37.4818007Z {
2022-11-23T01:32:37.4818108Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4818171Z     {
2022-11-23T01:32:37.4818235Z         #pragma omp for 
2022-11-23T01:32:37.4818319Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.4818382Z         {
2022-11-23T01:32:37.4818548Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.4818682Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:37.4818769Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4818862Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.4818912Z         }
2022-11-23T01:32:37.4819013Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.4819099Z         for(long i0=2048; i0<2048; i0+=1)
2022-11-23T01:32:37.4819166Z         {
2022-11-23T01:32:37.4819252Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.4819335Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:37.4819418Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4819486Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.4819549Z         }
2022-11-23T01:32:37.4819626Z         #pragma omp for 
2022-11-23T01:32:37.4819708Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.4819772Z         {
2022-11-23T01:32:37.4819856Z             #pragma GCC ivdep
2022-11-23T01:32:37.4819928Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T01:32:37.4819993Z             {
2022-11-23T01:32:37.4820082Z                 for(long i2=0; i2<1; i2+=1)
2022-11-23T01:32:37.4820147Z                 {
2022-11-23T01:32:37.4820301Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (16*i1) + (16*i2) + (256*i0));
2022-11-23T01:32:37.4820429Z                     auto tmp1 = at::vec::Vectorized<float>(in_ptr2[i1]);
2022-11-23T01:32:37.4820581Z                     auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + (16*i1) + (16*i2) + (256*i0));
2022-11-23T01:32:37.4820721Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.4820800Z                     auto tmp4 = tmp3 * tmp1;
2022-11-23T01:32:37.4820913Z                     tmp2.store(out_ptr1 + (16*i1) + (16*i2) + (256*i0));
2022-11-23T01:32:37.4821023Z                     tmp4.store(out_ptr2 + (16*i1) + (16*i2) + (256*i0));
2022-11-23T01:32:37.4821091Z                 }
2022-11-23T01:32:37.4821188Z                 #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.4821277Z                 for(long i2=16; i2<16; i2+=1)
2022-11-23T01:32:37.4821343Z                 {
2022-11-23T01:32:37.4821452Z                     auto tmp0 = in_ptr0[i2 + (16*i1) + (256*i0)];
2022-11-23T01:32:37.4821529Z                     auto tmp1 = in_ptr2[i1];
2022-11-23T01:32:37.4821633Z                     auto tmp3 = in_ptr1[i2 + (16*i1) + (256*i0)];
2022-11-23T01:32:37.4821770Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.4821860Z                     auto tmp4 = tmp3 * tmp1;
2022-11-23T01:32:37.4821962Z                     out_ptr1[i2 + (16*i1) + (256*i0)] = tmp2;
2022-11-23T01:32:37.4822062Z                     out_ptr2[i2 + (16*i1) + (256*i0)] = tmp4;
2022-11-23T01:32:37.4822128Z                 }
2022-11-23T01:32:37.4822178Z             }
2022-11-23T01:32:37.4822247Z         }
2022-11-23T01:32:37.4822312Z     }
2022-11-23T01:32:37.4822373Z }
2022-11-23T01:32:37.4822451Z ''')
2022-11-23T01:32:37.4822457Z 
2022-11-23T01:32:37.4822461Z 
2022-11-23T01:32:37.4822553Z async_compile.wait(globals())
2022-11-23T01:32:37.4822623Z del async_compile
2022-11-23T01:32:37.4822628Z 
2022-11-23T01:32:37.4822685Z def call(args):
2022-11-23T01:32:37.4822766Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.4822836Z     args.clear()
2022-11-23T01:32:37.4823046Z     buf0 = empty_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4823291Z     buf1 = empty_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4823493Z     buf2 = empty_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4823729Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:37.4823800Z     del arg0_1
2022-11-23T01:32:37.4823881Z     del arg1_1
2022-11-23T01:32:37.4823948Z     del arg2_1
2022-11-23T01:32:37.4824032Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:37.4824036Z 
2022-11-23T01:32:37.4824040Z 
2022-11-23T01:32:37.4824116Z if __name__ == "__main__":
2022-11-23T01:32:37.4824230Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4824351Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4824649Z     arg0_1 = rand_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4824864Z     arg1_1 = rand_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4825053Z     arg2_1 = rand_strided((1, 16, 1), (16, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4825177Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.4825182Z 
2022-11-23T01:32:37.4825248Z ok (2.659s)
2022-11-23T01:32:37.4825569Z   test_horizonal_fusion2_cpu (__main__.CpuTests) ... [2022-11-23 01:21:06,551] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4825841Z [2022-11-23 01:21:06,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4826058Z [2022-11-23 01:21:06,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4826308Z [2022-11-23 01:21:06,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4826596Z [2022-11-23 01:21:06,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4826928Z [2022-11-23 01:21:06,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4827237Z [2022-11-23 01:21:06,552] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6468b70, file "inductor/test_torchinductor.py", line 696> 
2022-11-23T01:32:37.4827329Z  697           0 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4827421Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:37.4827495Z               4 BINARY_ADD
2022-11-23T01:32:37.4827584Z               6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4827669Z               8 LOAD_CONST               2 (2)
2022-11-23T01:32:37.4827740Z              10 BINARY_ADD
2022-11-23T01:32:37.4827811Z              12 LOAD_FAST                2 (c)
2022-11-23T01:32:37.4827898Z              14 LOAD_CONST               3 (3)
2022-11-23T01:32:37.4827971Z              16 BINARY_ADD
2022-11-23T01:32:37.4828057Z              18 BUILD_TUPLE              3
2022-11-23T01:32:37.4828131Z              20 RETURN_VALUE
2022-11-23T01:32:37.4828192Z  
2022-11-23T01:32:37.4828197Z 
2022-11-23T01:32:37.4828463Z [2022-11-23 01:21:06,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:697
2022-11-23T01:32:37.4828672Z [2022-11-23 01:21:06,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.4828897Z [2022-11-23 01:21:06,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:37.4829178Z [2022-11-23 01:21:06,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4829411Z [2022-11-23 01:21:06,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:37.4829673Z [2022-11-23 01:21:06,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4830015Z [2022-11-23 01:21:06,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4830276Z [2022-11-23 01:21:06,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4830599Z [2022-11-23 01:21:06,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4830932Z [2022-11-23 01:21:06,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4831226Z [2022-11-23 01:21:06,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4831468Z [2022-11-23 01:21:06,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4831782Z [2022-11-23 01:21:06,561] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6468b70, file "inductor/test_torchinductor.py", line 696>
2022-11-23T01:32:37.4832024Z [2022-11-23 01:21:06,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4832259Z [2022-11-23 01:21:06,561] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4832509Z [2022-11-23 01:21:06,563] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4832754Z [2022-11-23 01:21:06,572] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4832940Z [2022-11-23 01:21:06,573] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4833073Z  __compiled_fn_190 <eval_with_key>.1204 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4833164Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4833239Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.4833321Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.4833492Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.4833666Z call_function, add_1, <built-in function add>, (ex_1_, 2), {}
2022-11-23T01:32:37.4833836Z call_function, add_2, <built-in function add>, (ex_2_, 3), {}
2022-11-23T01:32:37.4833946Z output, output, output, ((add, add_1, add_2),), {}
2022-11-23T01:32:37.4833951Z 
2022-11-23T01:32:37.4834224Z [2022-11-23 01:21:06,574] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4834317Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4834395Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4834486Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4834574Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4834652Z               8 RETURN_VALUE
2022-11-23T01:32:37.4834657Z 
2022-11-23T01:32:37.4834719Z  
2022-11-23T01:32:37.4834994Z [2022-11-23 01:21:06,574] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4835100Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_190)
2022-11-23T01:32:37.4835188Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4835266Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4835342Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4835429Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4835515Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4835590Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.4835675Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4835758Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.4835820Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.4835941Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.4836043Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4836141Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4836228Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4836302Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.4836401Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4836520Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4836597Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.4836696Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4836781Z              38 LOAD_CONST               3 (2)
2022-11-23T01:32:37.4836856Z              40 BINARY_SUBSCR
2022-11-23T01:32:37.4836942Z              42 BUILD_TUPLE              3
2022-11-23T01:32:37.4837016Z              44 RETURN_VALUE
2022-11-23T01:32:37.4837022Z 
2022-11-23T01:32:37.4837069Z  
2022-11-23T01:32:37.4837391Z [2022-11-23 01:21:06,576] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4837461Z  - 
2022-11-23T01:32:37.4837580Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4837645Z             {
2022-11-23T01:32:37.4837785Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4837969Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 3'],
2022-11-23T01:32:37.4838076Z                 'obj_weakref': None
2022-11-23T01:32:37.4838300Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4838365Z             }
2022-11-23T01:32:37.4838430Z             
2022-11-23T01:32:37.4838499Z  - 
2022-11-23T01:32:37.4838622Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4838687Z             {
2022-11-23T01:32:37.4838815Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4838923Z                 'code': None,
2022-11-23T01:32:37.4839132Z                 'obj_weakref': <weakref at 0x7f71c0ea7c50; to 'Tensor' at 0x7f719bffacb0>
2022-11-23T01:32:37.4839383Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4839449Z             }
2022-11-23T01:32:37.4839513Z             
2022-11-23T01:32:37.4839581Z  - 
2022-11-23T01:32:37.4839689Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.4839751Z             {
2022-11-23T01:32:37.4839892Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4839998Z                 'code': None,
2022-11-23T01:32:37.4840205Z                 'obj_weakref': <weakref at 0x7f71c0ea7dd0; to 'Tensor' at 0x7f70f274c7d0>
2022-11-23T01:32:37.4840451Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4840514Z             }
2022-11-23T01:32:37.4840577Z             
2022-11-23T01:32:37.4840632Z  - 
2022-11-23T01:32:37.4840757Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.4840822Z             {
2022-11-23T01:32:37.4840959Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4841065Z                 'code': None,
2022-11-23T01:32:37.4841269Z                 'obj_weakref': <weakref at 0x7f71c0f6f950; to 'Tensor' at 0x7f70f274c890>
2022-11-23T01:32:37.4841510Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4841561Z             }
2022-11-23T01:32:37.4841625Z             
2022-11-23T01:32:37.4841693Z  - 
2022-11-23T01:32:37.4841821Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4841884Z             {
2022-11-23T01:32:37.4842015Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4842172Z                 'code': ['___check_obj_id(model, 140126543560576)'],
2022-11-23T01:32:37.4842288Z                 'obj_weakref': None
2022-11-23T01:32:37.4842513Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4842640Z             }
2022-11-23T01:32:37.4842702Z             
2022-11-23T01:32:37.4842773Z  - 
2022-11-23T01:32:37.4842895Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4842945Z             {
2022-11-23T01:32:37.4843082Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4843301Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4843455Z                 'obj_weakref': None
2022-11-23T01:32:37.4843676Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4843742Z             }
2022-11-23T01:32:37.4843806Z             
2022-11-23T01:32:37.4844069Z [2022-11-23 01:21:06,592] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 189
2022-11-23T01:32:37.4844421Z [2022-11-23 01:21:09,192] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h5/ch5ee7vkwp6tbiuv3zk5uepi3dr4xnyd25xdsus34bs76io5q3vr.py
2022-11-23T01:32:37.4844686Z [2022-11-23 01:21:09,192] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 189
2022-11-23T01:32:37.4844692Z 
2022-11-23T01:32:37.4844787Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4844857Z import torch
2022-11-23T01:32:37.4844926Z import random
2022-11-23T01:32:37.4845040Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4845163Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4845169Z 
2022-11-23T01:32:37.4845248Z aten = torch.ops.aten
2022-11-23T01:32:37.4845369Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4845461Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4845466Z 
2022-11-23T01:32:37.4845470Z 
2022-11-23T01:32:37.4845603Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4845806Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4845926Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.4846030Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.4846131Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.4846228Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.4846311Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.4846403Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:37.4846465Z {
2022-11-23T01:32:37.4846564Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4846625Z     {
2022-11-23T01:32:37.4846702Z         #pragma omp for 
2022-11-23T01:32:37.4846784Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:37.4846834Z         {
2022-11-23T01:32:37.4846970Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.4847103Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.4847188Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4847282Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.4847344Z         }
2022-11-23T01:32:37.4847438Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.4847512Z         for(long i0=1024; i0<1024; i0+=1)
2022-11-23T01:32:37.4847572Z         {
2022-11-23T01:32:37.4847655Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.4847753Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:37.4847838Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4847917Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.4847979Z         }
2022-11-23T01:32:37.4848042Z         #pragma omp for 
2022-11-23T01:32:37.4848121Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.4848182Z         {
2022-11-23T01:32:37.4848313Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:37.4848441Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:37.4848525Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4848647Z             tmp2.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.4848696Z         }
2022-11-23T01:32:37.4848790Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.4848872Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T01:32:37.4848933Z         {
2022-11-23T01:32:37.4849014Z             auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:37.4849111Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:37.4849226Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4849295Z             out_ptr1[i0] = tmp2;
2022-11-23T01:32:37.4849355Z         }
2022-11-23T01:32:37.4849431Z         #pragma omp for 
2022-11-23T01:32:37.4849510Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.4849572Z         {
2022-11-23T01:32:37.4849701Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr2 + 16*i0);
2022-11-23T01:32:37.4849831Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T01:32:37.4849903Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4849992Z             tmp2.store(out_ptr2 + 16*i0);
2022-11-23T01:32:37.4850052Z         }
2022-11-23T01:32:37.4850146Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.4850226Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T01:32:37.4850287Z         {
2022-11-23T01:32:37.4850370Z             auto tmp0 = in_ptr2[i0];
2022-11-23T01:32:37.4850455Z             auto tmp1 = static_cast<float>(3);
2022-11-23T01:32:37.4850539Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4850617Z             out_ptr2[i0] = tmp2;
2022-11-23T01:32:37.4850679Z         }
2022-11-23T01:32:37.4850740Z     }
2022-11-23T01:32:37.4850799Z }
2022-11-23T01:32:37.4850876Z ''')
2022-11-23T01:32:37.4850882Z 
2022-11-23T01:32:37.4850886Z 
2022-11-23T01:32:37.4850961Z async_compile.wait(globals())
2022-11-23T01:32:37.4851033Z del async_compile
2022-11-23T01:32:37.4851038Z 
2022-11-23T01:32:37.4851108Z def call(args):
2022-11-23T01:32:37.4851188Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.4851263Z     args.clear()
2022-11-23T01:32:37.4851471Z     buf0 = empty_strided((8, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4851666Z     buf1 = empty_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4851846Z     buf2 = empty_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4852082Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:37.4852150Z     del arg0_1
2022-11-23T01:32:37.4852216Z     del arg1_1
2022-11-23T01:32:37.4852283Z     del arg2_1
2022-11-23T01:32:37.4852364Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:37.4852369Z 
2022-11-23T01:32:37.4852373Z 
2022-11-23T01:32:37.4852448Z if __name__ == "__main__":
2022-11-23T01:32:37.4852568Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4852732Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4853036Z     arg0_1 = rand_strided((8, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4853239Z     arg1_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4853433Z     arg2_1 = rand_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4853556Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.4853562Z 
2022-11-23T01:32:37.4853632Z ok (2.660s)
2022-11-23T01:32:37.4853937Z   test_index1_cpu (__main__.CpuTests) ... [2022-11-23 01:21:09,212] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4854209Z [2022-11-23 01:21:09,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4854428Z [2022-11-23 01:21:09,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4854669Z [2022-11-23 01:21:09,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4854998Z [2022-11-23 01:21:09,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4855321Z [2022-11-23 01:21:09,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4855677Z [2022-11-23 01:21:09,213] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64239c0, file "inductor/test_torchinductor.py", line 2812> 
2022-11-23T01:32:37.4855777Z  2813           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.4855869Z                2 LOAD_METHOD              1 (index)
2022-11-23T01:32:37.4855961Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4856052Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4856128Z                8 LOAD_FAST                2 (c)
2022-11-23T01:32:37.4856221Z               10 BUILD_LIST               2
2022-11-23T01:32:37.4856310Z               12 CALL_METHOD              2
2022-11-23T01:32:37.4856386Z               14 RETURN_VALUE
2022-11-23T01:32:37.4856448Z  
2022-11-23T01:32:37.4856454Z 
2022-11-23T01:32:37.4856723Z [2022-11-23 01:21:09,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2813
2022-11-23T01:32:37.4856944Z [2022-11-23 01:21:09,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.4857255Z [2022-11-23 01:21:09,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.4857493Z [2022-11-23 01:21:09,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index)]
2022-11-23T01:32:37.4857772Z [2022-11-23 01:21:09,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index), TensorVariable()]
2022-11-23T01:32:37.4858078Z [2022-11-23 01:21:09,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4858416Z [2022-11-23 01:21:09,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.index), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4858728Z [2022-11-23 01:21:09,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.4858974Z [2022-11-23 01:21:09,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.4859307Z [2022-11-23 01:21:09,233] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64239c0, file "inductor/test_torchinductor.py", line 2812>
2022-11-23T01:32:37.4859553Z [2022-11-23 01:21:09,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.4859788Z [2022-11-23 01:21:09,233] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4860045Z [2022-11-23 01:21:09,235] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4860294Z [2022-11-23 01:21:09,242] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4860474Z [2022-11-23 01:21:09,242] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4860610Z  __compiled_fn_191 <eval_with_key>.1210 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4860701Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4860789Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.4860875Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.4860996Z call_function, index, aten.index, (ex_0_, [ex_1_, ex_2_]), {}
2022-11-23T01:32:37.4861094Z output, output, output, ((index,),), {}
2022-11-23T01:32:37.4861099Z 
2022-11-23T01:32:37.4861395Z [2022-11-23 01:21:09,243] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4861490Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4861582Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4861674Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4861767Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4861847Z               8 RETURN_VALUE
2022-11-23T01:32:37.4861881Z 
2022-11-23T01:32:37.4861940Z  
2022-11-23T01:32:37.4862215Z [2022-11-23 01:21:09,243] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4862309Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_191)
2022-11-23T01:32:37.4862399Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4862486Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4862562Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4862656Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4862741Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4862815Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.4862890Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4862974Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.4863049Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.4863136Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.4863230Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.4863304Z              24 RETURN_VALUE
2022-11-23T01:32:37.4863310Z 
2022-11-23T01:32:37.4863382Z  
2022-11-23T01:32:37.4863648Z [2022-11-23 01:21:09,245] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4863745Z  - 
2022-11-23T01:32:37.4863887Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4863974Z             {
2022-11-23T01:32:37.4864198Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4864514Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 3'],
2022-11-23T01:32:37.4864642Z                 'obj_weakref': None
2022-11-23T01:32:37.4864868Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4864920Z             }
2022-11-23T01:32:37.4864985Z             
2022-11-23T01:32:37.4865056Z  - 
2022-11-23T01:32:37.4865179Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4865244Z             {
2022-11-23T01:32:37.4865389Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4865483Z                 'code': None,
2022-11-23T01:32:37.4865694Z                 'obj_weakref': <weakref at 0x7f70f295d350; to 'Tensor' at 0x7f70f2906890>
2022-11-23T01:32:37.4865941Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4866006Z             }
2022-11-23T01:32:37.4866070Z             
2022-11-23T01:32:37.4866140Z  - 
2022-11-23T01:32:37.4866265Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.4866314Z             {
2022-11-23T01:32:37.4866453Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4866558Z                 'code': None,
2022-11-23T01:32:37.4866763Z                 'obj_weakref': <weakref at 0x7f70f295db30; to 'Tensor' at 0x7f71c0ea75f0>
2022-11-23T01:32:37.4867004Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4867070Z             }
2022-11-23T01:32:37.4867133Z             
2022-11-23T01:32:37.4867200Z  - 
2022-11-23T01:32:37.4867309Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.4867370Z             {
2022-11-23T01:32:37.4867511Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4867618Z                 'code': None,
2022-11-23T01:32:37.4867818Z                 'obj_weakref': <weakref at 0x7f70f295d530; to 'Tensor' at 0x7f71c0ea78f0>
2022-11-23T01:32:37.4868058Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4868169Z             }
2022-11-23T01:32:37.4868218Z             
2022-11-23T01:32:37.4868285Z  - 
2022-11-23T01:32:37.4868415Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4868477Z             {
2022-11-23T01:32:37.4868609Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4868807Z                 'code': ['___check_obj_id(model, 140123913926560)'],
2022-11-23T01:32:37.4868925Z                 'obj_weakref': None
2022-11-23T01:32:37.4869139Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4869201Z             }
2022-11-23T01:32:37.4869264Z             
2022-11-23T01:32:37.4869333Z  - 
2022-11-23T01:32:37.4869454Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4869518Z             {
2022-11-23T01:32:37.4869640Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4869860Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4869977Z                 'obj_weakref': None
2022-11-23T01:32:37.4870195Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4870258Z             }
2022-11-23T01:32:37.4870319Z             
2022-11-23T01:32:37.4870386Z  - 
2022-11-23T01:32:37.4870504Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.4870566Z             {
2022-11-23T01:32:37.4870685Z                 'guard_types': None,
2022-11-23T01:32:37.4870791Z                 'code': None,
2022-11-23T01:32:37.4870906Z                 'obj_weakref': None
2022-11-23T01:32:37.4871025Z                 'guarded_class': None
2022-11-23T01:32:37.4871086Z             }
2022-11-23T01:32:37.4871135Z             
2022-11-23T01:32:37.4871395Z [2022-11-23 01:21:09,257] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 190
2022-11-23T01:32:37.4871760Z [2022-11-23 01:21:11,841] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3g/c3gzjahkpcij6cby2fzljxdrxo353cayj23in25e7wollj5fpoum.py
2022-11-23T01:32:37.4872021Z [2022-11-23 01:21:11,842] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 190
2022-11-23T01:32:37.4872255Z [2022-11-23 01:21:11,855] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4872524Z [2022-11-23 01:21:11,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4872738Z [2022-11-23 01:21:11,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4872989Z [2022-11-23 01:21:11,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4873271Z [2022-11-23 01:21:11,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4873582Z [2022-11-23 01:21:11,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4873905Z [2022-11-23 01:21:11,856] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64239c0, file "inductor/test_torchinductor.py", line 2812> 
2022-11-23T01:32:37.4874002Z  2813           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.4874098Z                2 LOAD_METHOD              1 (index)
2022-11-23T01:32:37.4874187Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4874275Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4874361Z                8 LOAD_FAST                2 (c)
2022-11-23T01:32:37.4874449Z               10 BUILD_LIST               2
2022-11-23T01:32:37.4874523Z               12 CALL_METHOD              2
2022-11-23T01:32:37.4874598Z               14 RETURN_VALUE
2022-11-23T01:32:37.4874658Z  
2022-11-23T01:32:37.4874694Z 
2022-11-23T01:32:37.4875081Z [2022-11-23 01:21:11,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2813
2022-11-23T01:32:37.4875377Z [2022-11-23 01:21:11,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.4875690Z [2022-11-23 01:21:11,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.4876018Z [2022-11-23 01:21:11,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index)]
2022-11-23T01:32:37.4876296Z [2022-11-23 01:21:11,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index), TensorVariable()]
2022-11-23T01:32:37.4876603Z [2022-11-23 01:21:11,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4876924Z [2022-11-23 01:21:11,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.index), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4877349Z [2022-11-23 01:21:11,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.4877599Z [2022-11-23 01:21:11,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.4877931Z [2022-11-23 01:21:11,876] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64239c0, file "inductor/test_torchinductor.py", line 2812>
2022-11-23T01:32:37.4878176Z [2022-11-23 01:21:11,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.4878410Z [2022-11-23 01:21:11,877] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4878664Z [2022-11-23 01:21:11,879] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4878918Z [2022-11-23 01:21:11,887] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4879107Z [2022-11-23 01:21:11,888] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4879242Z  __compiled_fn_192 <eval_with_key>.1216 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4879319Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4879406Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.4879493Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.4879616Z call_function, index, aten.index, (ex_0_, [ex_1_, ex_2_]), {}
2022-11-23T01:32:37.4879714Z output, output, output, ((index,),), {}
2022-11-23T01:32:37.4879720Z 
2022-11-23T01:32:37.4879997Z [2022-11-23 01:21:11,889] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4880090Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4880168Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4880265Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4880353Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4880427Z               8 RETURN_VALUE
2022-11-23T01:32:37.4880433Z 
2022-11-23T01:32:37.4880493Z  
2022-11-23T01:32:37.4880766Z [2022-11-23 01:21:11,889] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4880875Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_192)
2022-11-23T01:32:37.4880963Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4881040Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4881115Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4881202Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4881290Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4881363Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.4881449Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4881597Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.4881659Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.4881748Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.4881839Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.4881918Z              24 RETURN_VALUE
2022-11-23T01:32:37.4881924Z 
2022-11-23T01:32:37.4881985Z  
2022-11-23T01:32:37.4882168Z [2022-11-23 01:21:11,891] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4882284Z  - 
2022-11-23T01:32:37.4882393Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4882458Z             {
2022-11-23T01:32:37.4882597Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4882782Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 3'],
2022-11-23T01:32:37.4882902Z                 'obj_weakref': None
2022-11-23T01:32:37.4883125Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4883239Z             }
2022-11-23T01:32:37.4883289Z             
2022-11-23T01:32:37.4883357Z  - 
2022-11-23T01:32:37.4883479Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4883542Z             {
2022-11-23T01:32:37.4883683Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4883789Z                 'code': None,
2022-11-23T01:32:37.4884000Z                 'obj_weakref': <weakref at 0x7f71c25fdc50; to 'Tensor' at 0x7f70f2906890>
2022-11-23T01:32:37.4884237Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4884301Z             }
2022-11-23T01:32:37.4884365Z             
2022-11-23T01:32:37.4884434Z  - 
2022-11-23T01:32:37.4884556Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.4884619Z             {
2022-11-23T01:32:37.4884758Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4884851Z                 'code': None,
2022-11-23T01:32:37.4885062Z                 'obj_weakref': <weakref at 0x7f71c0ea75f0; to 'Tensor' at 0x7f71c0f6fad0>
2022-11-23T01:32:37.4885305Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4885368Z             }
2022-11-23T01:32:37.4885430Z             
2022-11-23T01:32:37.4885499Z  - 
2022-11-23T01:32:37.4885620Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.4885669Z             {
2022-11-23T01:32:37.4885810Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4885914Z                 'code': None,
2022-11-23T01:32:37.4886114Z                 'obj_weakref': <weakref at 0x7f70f27752f0; to 'Tensor' at 0x7f7124197290>
2022-11-23T01:32:37.4886352Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4886416Z             }
2022-11-23T01:32:37.4886477Z             
2022-11-23T01:32:37.4886533Z  - 
2022-11-23T01:32:37.4886661Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4886725Z             {
2022-11-23T01:32:37.4886856Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4887022Z                 'code': ['___check_obj_id(model, 140123913926560)'],
2022-11-23T01:32:37.4887139Z                 'obj_weakref': None
2022-11-23T01:32:37.4887366Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4887430Z             }
2022-11-23T01:32:37.4887482Z             
2022-11-23T01:32:37.4887550Z  - 
2022-11-23T01:32:37.4887670Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4887733Z             {
2022-11-23T01:32:37.4887866Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4888081Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4888186Z                 'obj_weakref': None
2022-11-23T01:32:37.4888404Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4888537Z             }
2022-11-23T01:32:37.4888600Z             
2022-11-23T01:32:37.4888668Z  - 
2022-11-23T01:32:37.4888798Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.4888863Z             {
2022-11-23T01:32:37.4888969Z                 'guard_types': None,
2022-11-23T01:32:37.4889076Z                 'code': None,
2022-11-23T01:32:37.4889192Z                 'obj_weakref': None
2022-11-23T01:32:37.4889340Z                 'guarded_class': None
2022-11-23T01:32:37.4889405Z             }
2022-11-23T01:32:37.4889469Z             
2022-11-23T01:32:37.4889729Z [2022-11-23 01:21:11,903] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 191
2022-11-23T01:32:37.4890085Z [2022-11-23 01:21:14,485] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ji/cjim2zmdvumi5jbovwb3pnrsa3233yy4b6ddhd5ydetlxjqpj33u.py
2022-11-23T01:32:37.4890348Z [2022-11-23 01:21:14,486] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 191
2022-11-23T01:32:37.4890356Z 
2022-11-23T01:32:37.4890450Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4890520Z import torch
2022-11-23T01:32:37.4890590Z import random
2022-11-23T01:32:37.4890705Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4890827Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4890833Z 
2022-11-23T01:32:37.4890910Z aten = torch.ops.aten
2022-11-23T01:32:37.4891032Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4891124Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4891129Z 
2022-11-23T01:32:37.4891133Z 
2022-11-23T01:32:37.4891264Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4891468Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4891583Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:37.4891686Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:37.4891790Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.4891887Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.4891935Z {
2022-11-23T01:32:37.4892034Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4892094Z     {
2022-11-23T01:32:37.4892192Z         #pragma omp for 
2022-11-23T01:32:37.4892273Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.4892339Z         {
2022-11-23T01:32:37.4892420Z             #pragma GCC ivdep
2022-11-23T01:32:37.4892491Z             for(long i1=0; i1<12; i1+=1)
2022-11-23T01:32:37.4892554Z             {
2022-11-23T01:32:37.4892617Z                 {
2022-11-23T01:32:37.4892683Z                     {
2022-11-23T01:32:37.4892777Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.4892869Z                         auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:37.4892980Z                         auto tmp2 = in_ptr2[i1 + (12*tmp1) + (96*tmp0)];
2022-11-23T01:32:37.4893065Z                         out_ptr0[i1 + (12*i0)] = tmp2;
2022-11-23T01:32:37.4893130Z                     }
2022-11-23T01:32:37.4893194Z                 }
2022-11-23T01:32:37.4893256Z             }
2022-11-23T01:32:37.4893319Z         }
2022-11-23T01:32:37.4893380Z     }
2022-11-23T01:32:37.4893426Z }
2022-11-23T01:32:37.4893503Z ''')
2022-11-23T01:32:37.4893508Z 
2022-11-23T01:32:37.4893512Z 
2022-11-23T01:32:37.4893602Z async_compile.wait(globals())
2022-11-23T01:32:37.4893676Z del async_compile
2022-11-23T01:32:37.4893681Z 
2022-11-23T01:32:37.4893757Z def call(args):
2022-11-23T01:32:37.4893840Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.4893911Z     args.clear()
2022-11-23T01:32:37.4894108Z     buf0 = empty_strided((4, 12), (12, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4894285Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.4894354Z     del arg0_1
2022-11-23T01:32:37.4894462Z     del arg1_1
2022-11-23T01:32:37.4894528Z     del arg2_1
2022-11-23T01:32:37.4894601Z     return (buf0, )
2022-11-23T01:32:37.4894605Z 
2022-11-23T01:32:37.4894610Z 
2022-11-23T01:32:37.4894689Z if __name__ == "__main__":
2022-11-23T01:32:37.4894804Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4894926Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4895146Z     arg0_1 = rand_strided((8, 8, 12), (96, 12, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4895335Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.4895519Z     arg2_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.4895640Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.4895645Z 
2022-11-23T01:32:37.4895649Z 
2022-11-23T01:32:37.4895743Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4895813Z import torch
2022-11-23T01:32:37.4895887Z import random
2022-11-23T01:32:37.4895987Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4896108Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4896112Z 
2022-11-23T01:32:37.4896190Z aten = torch.ops.aten
2022-11-23T01:32:37.4896323Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4896415Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4896420Z 
2022-11-23T01:32:37.4896424Z 
2022-11-23T01:32:37.4896558Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4896764Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4896883Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:37.4896987Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:37.4897078Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.4897179Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.4897242Z {
2022-11-23T01:32:37.4897342Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4897405Z     {
2022-11-23T01:32:37.4897482Z         #pragma omp for 
2022-11-23T01:32:37.4897551Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.4897614Z         {
2022-11-23T01:32:37.4897694Z             #pragma GCC ivdep
2022-11-23T01:32:37.4897776Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:37.4897840Z             {
2022-11-23T01:32:37.4897921Z                 #pragma GCC ivdep
2022-11-23T01:32:37.4898014Z                 for(long i2=0; i2<12; i2+=1)
2022-11-23T01:32:37.4898066Z                 {
2022-11-23T01:32:37.4898133Z                     {
2022-11-23T01:32:37.4898203Z                         {
2022-11-23T01:32:37.4898302Z                             auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:37.4898396Z                             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:37.4898511Z                             auto tmp2 = in_ptr2[i2 + (12*tmp1) + (96*tmp0)];
2022-11-23T01:32:37.4898619Z                             out_ptr0[i2 + (12*i1) + (48*i0)] = tmp2;
2022-11-23T01:32:37.4898675Z                         }
2022-11-23T01:32:37.4898740Z                     }
2022-11-23T01:32:37.4898804Z                 }
2022-11-23T01:32:37.4898865Z             }
2022-11-23T01:32:37.4898928Z         }
2022-11-23T01:32:37.4898989Z     }
2022-11-23T01:32:37.4899048Z }
2022-11-23T01:32:37.4899112Z ''')
2022-11-23T01:32:37.4899117Z 
2022-11-23T01:32:37.4899121Z 
2022-11-23T01:32:37.4899210Z async_compile.wait(globals())
2022-11-23T01:32:37.4899281Z del async_compile
2022-11-23T01:32:37.4899286Z 
2022-11-23T01:32:37.4899354Z def call(args):
2022-11-23T01:32:37.4899434Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.4899503Z     args.clear()
2022-11-23T01:32:37.4899707Z     buf0 = empty_strided((4, 4, 12), (48, 12, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4899892Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.4899980Z     del arg0_1
2022-11-23T01:32:37.4900045Z     del arg1_1
2022-11-23T01:32:37.4900109Z     del arg2_1
2022-11-23T01:32:37.4900180Z     return (buf0, )
2022-11-23T01:32:37.4900185Z 
2022-11-23T01:32:37.4900189Z 
2022-11-23T01:32:37.4900263Z if __name__ == "__main__":
2022-11-23T01:32:37.4900379Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4900502Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4900721Z     arg0_1 = rand_strided((8, 8, 12), (96, 12, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4900913Z     arg1_1 = rand_strided((1, 4), (4, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.4901100Z     arg2_1 = rand_strided((4, 1), (1, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.4901219Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.4901225Z 
2022-11-23T01:32:37.4901290Z ok (5.289s)
2022-11-23T01:32:37.4901596Z   test_index2_cpu (__main__.CpuTests) ... [2022-11-23 01:21:14,500] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4901869Z [2022-11-23 01:21:14,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4902086Z [2022-11-23 01:21:14,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4902341Z [2022-11-23 01:21:14,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4902613Z [2022-11-23 01:21:14,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4902936Z [2022-11-23 01:21:14,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4903258Z [2022-11-23 01:21:14,501] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6423b70, file "inductor/test_torchinductor.py", line 2833> 
2022-11-23T01:32:37.4903355Z  2835           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.4903447Z                2 LOAD_METHOD              1 (index)
2022-11-23T01:32:37.4903537Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4903625Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4903712Z                8 BUILD_LIST               1
2022-11-23T01:32:37.4903786Z               10 CALL_METHOD              2
2022-11-23T01:32:37.4903793Z 
2022-11-23T01:32:37.4903884Z 2836          12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.4903974Z               14 LOAD_METHOD              1 (index)
2022-11-23T01:32:37.4904060Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4904149Z               18 LOAD_CONST               0 (None)
2022-11-23T01:32:37.4904235Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4904319Z               22 BUILD_LIST               2
2022-11-23T01:32:37.4904404Z               24 CALL_METHOD              2
2022-11-23T01:32:37.4904570Z               26 BUILD_TUPLE              2
2022-11-23T01:32:37.4904649Z               28 RETURN_VALUE
2022-11-23T01:32:37.4904710Z  
2022-11-23T01:32:37.4904715Z 
2022-11-23T01:32:37.4904991Z [2022-11-23 01:21:14,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2835
2022-11-23T01:32:37.4905210Z [2022-11-23 01:21:14,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.4905520Z [2022-11-23 01:21:14,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.4905776Z [2022-11-23 01:21:14,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index)]
2022-11-23T01:32:37.4906165Z [2022-11-23 01:21:14,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index), TensorVariable()]
2022-11-23T01:32:37.4906464Z [2022-11-23 01:21:14,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4906812Z [2022-11-23 01:21:14,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.4907077Z [2022-11-23 01:21:14,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2836
2022-11-23T01:32:37.4907351Z [2022-11-23 01:21:14,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.4907689Z [2022-11-23 01:21:14,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.4907964Z [2022-11-23 01:21:14,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.index)]
2022-11-23T01:32:37.4908272Z [2022-11-23 01:21:14,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.index), TensorVariable()]
2022-11-23T01:32:37.4908627Z [2022-11-23 01:21:14,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.index), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.4909010Z [2022-11-23 01:21:14,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.index), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:32:37.4909346Z [2022-11-23 01:21:14,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.4909610Z [2022-11-23 01:21:14,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4909842Z [2022-11-23 01:21:14,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4910172Z [2022-11-23 01:21:14,539] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6423b70, file "inductor/test_torchinductor.py", line 2833>
2022-11-23T01:32:37.4910415Z [2022-11-23 01:21:14,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4910649Z [2022-11-23 01:21:14,539] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4910903Z [2022-11-23 01:21:14,542] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4911149Z [2022-11-23 01:21:14,554] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4911335Z [2022-11-23 01:21:14,554] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4911470Z  __compiled_fn_193 <eval_with_key>.1222 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4911558Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4911634Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.4911746Z call_function, index, aten.index, (ex_0_, [ex_1_]), {}
2022-11-23T01:32:37.4911866Z call_function, index_1, aten.index, (ex_0_, [None, ex_1_]), {}
2022-11-23T01:32:37.4911971Z output, output, output, ((index, index_1),), {}
2022-11-23T01:32:37.4911977Z 
2022-11-23T01:32:37.4912254Z [2022-11-23 01:21:14,555] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4912348Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4912438Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4912528Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4912605Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4912680Z               8 RETURN_VALUE
2022-11-23T01:32:37.4912685Z 
2022-11-23T01:32:37.4912746Z  
2022-11-23T01:32:37.4913024Z [2022-11-23 01:21:14,555] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4913173Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_193)
2022-11-23T01:32:37.4913262Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4913349Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4913413Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4913499Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4913585Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4913686Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.4913774Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.4913876Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4913976Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4914063Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4914126Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.4914223Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4914312Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4914387Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.4914474Z              30 BUILD_TUPLE              2
2022-11-23T01:32:37.4914548Z              32 RETURN_VALUE
2022-11-23T01:32:37.4914553Z 
2022-11-23T01:32:37.4914614Z  
2022-11-23T01:32:37.4914781Z [2022-11-23 01:21:14,557] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4914851Z  - 
2022-11-23T01:32:37.4914970Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4915034Z             {
2022-11-23T01:32:37.4915173Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4915358Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.4915476Z                 'obj_weakref': None
2022-11-23T01:32:37.4915687Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4915750Z             }
2022-11-23T01:32:37.4915815Z             
2022-11-23T01:32:37.4915883Z  - 
2022-11-23T01:32:37.4916004Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4916067Z             {
2022-11-23T01:32:37.4916209Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4916305Z                 'code': None,
2022-11-23T01:32:37.4916538Z                 'obj_weakref': <weakref at 0x7f70f29336b0; to 'Tensor' at 0x7f70f273a290>
2022-11-23T01:32:37.4916903Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4916985Z             }
2022-11-23T01:32:37.4917051Z             
2022-11-23T01:32:37.4917226Z  - 
2022-11-23T01:32:37.4917355Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.4917407Z             {
2022-11-23T01:32:37.4917549Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4917659Z                 'code': None,
2022-11-23T01:32:37.4917864Z                 'obj_weakref': <weakref at 0x7f70f296c8f0; to 'Tensor' at 0x7f71063c66b0>
2022-11-23T01:32:37.4918112Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4918178Z             }
2022-11-23T01:32:37.4918243Z             
2022-11-23T01:32:37.4918297Z  - 
2022-11-23T01:32:37.4918429Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4918493Z             {
2022-11-23T01:32:37.4918626Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4918798Z                 'code': ['___check_obj_id(model, 140125781882352)'],
2022-11-23T01:32:37.4918916Z                 'obj_weakref': None
2022-11-23T01:32:37.4919143Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4919193Z             }
2022-11-23T01:32:37.4919257Z             
2022-11-23T01:32:37.4919325Z  - 
2022-11-23T01:32:37.4919445Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4919508Z             {
2022-11-23T01:32:37.4919643Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4919931Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4920034Z                 'obj_weakref': None
2022-11-23T01:32:37.4920253Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4920317Z             }
2022-11-23T01:32:37.4920381Z             
2022-11-23T01:32:37.4920450Z  - 
2022-11-23T01:32:37.4920618Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.4920682Z             {
2022-11-23T01:32:37.4920789Z                 'guard_types': None,
2022-11-23T01:32:37.4920894Z                 'code': None,
2022-11-23T01:32:37.4921012Z                 'obj_weakref': None
2022-11-23T01:32:37.4921131Z                 'guarded_class': None
2022-11-23T01:32:37.4921194Z             }
2022-11-23T01:32:37.4921255Z             
2022-11-23T01:32:37.4921515Z [2022-11-23 01:21:14,571] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 192
2022-11-23T01:32:37.4921869Z [2022-11-23 01:21:17,183] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fe/cfentos47at3sl3md3k3h5gyp3immyfcrb4kd3pcdomddzcxzg4o.py
2022-11-23T01:32:37.4922132Z [2022-11-23 01:21:17,184] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 192
2022-11-23T01:32:37.4922138Z 
2022-11-23T01:32:37.4922230Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4922301Z import torch
2022-11-23T01:32:37.4922370Z import random
2022-11-23T01:32:37.4922483Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4922604Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4922609Z 
2022-11-23T01:32:37.4922687Z aten = torch.ops.aten
2022-11-23T01:32:37.4922809Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4922899Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4922905Z 
2022-11-23T01:32:37.4922909Z 
2022-11-23T01:32:37.4923042Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4923247Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4923364Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:37.4923468Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.4923565Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.4923664Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.4923713Z {
2022-11-23T01:32:37.4923809Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4923869Z     {
2022-11-23T01:32:37.4923946Z         #pragma omp for 
2022-11-23T01:32:37.4924027Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.4924089Z         {
2022-11-23T01:32:37.4924157Z             #pragma GCC ivdep
2022-11-23T01:32:37.4924241Z             for(long i1=0; i1<64; i1+=1)
2022-11-23T01:32:37.4924303Z             {
2022-11-23T01:32:37.4924367Z                 {
2022-11-23T01:32:37.4924436Z                     {
2022-11-23T01:32:37.4924529Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.4924632Z                         auto tmp1 = in_ptr1[i1 + (64*tmp0)];
2022-11-23T01:32:37.4924715Z                         out_ptr0[i1 + (64*i0)] = tmp1;
2022-11-23T01:32:37.4924780Z                     }
2022-11-23T01:32:37.4924843Z                 }
2022-11-23T01:32:37.4924904Z             }
2022-11-23T01:32:37.4924967Z         }
2022-11-23T01:32:37.4925046Z         #pragma omp for 
2022-11-23T01:32:37.4925126Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.4925175Z         {
2022-11-23T01:32:37.4925255Z             #pragma GCC ivdep
2022-11-23T01:32:37.4925334Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:37.4925397Z             {
2022-11-23T01:32:37.4925477Z                 #pragma GCC ivdep
2022-11-23T01:32:37.4925564Z                 for(long i2=0; i2<8; i2+=1)
2022-11-23T01:32:37.4925628Z                 {
2022-11-23T01:32:37.4925713Z                     {
2022-11-23T01:32:37.4925779Z                         {
2022-11-23T01:32:37.4925875Z                             auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:37.4925986Z                             auto tmp1 = in_ptr1[i2 + (8*tmp0) + (64*i0)];
2022-11-23T01:32:37.4926088Z                             out_ptr1[i2 + (8*i1) + (32*i0)] = tmp1;
2022-11-23T01:32:37.4926157Z                         }
2022-11-23T01:32:37.4926222Z                     }
2022-11-23T01:32:37.4926312Z                 }
2022-11-23T01:32:37.4926376Z             }
2022-11-23T01:32:37.4926439Z         }
2022-11-23T01:32:37.4926502Z     }
2022-11-23T01:32:37.4926562Z }
2022-11-23T01:32:37.4926642Z ''')
2022-11-23T01:32:37.4926647Z 
2022-11-23T01:32:37.4926651Z 
2022-11-23T01:32:37.4926740Z async_compile.wait(globals())
2022-11-23T01:32:37.4926799Z del async_compile
2022-11-23T01:32:37.4926803Z 
2022-11-23T01:32:37.4926875Z def call(args):
2022-11-23T01:32:37.4926949Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.4927022Z     args.clear()
2022-11-23T01:32:37.4927235Z     buf0 = empty_strided((1, 4, 8, 8), (256, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4927444Z     buf1 = empty_strided((8, 1, 4, 8), (32, 256, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4927635Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.4927690Z     del arg0_1
2022-11-23T01:32:37.4927756Z     del arg1_1
2022-11-23T01:32:37.4927835Z     return (buf0, buf1, )
2022-11-23T01:32:37.4927839Z 
2022-11-23T01:32:37.4927843Z 
2022-11-23T01:32:37.4927920Z if __name__ == "__main__":
2022-11-23T01:32:37.4928034Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4928159Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4928363Z     arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4928550Z     arg1_1 = rand_strided((1, 4), (4, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.4928653Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.4928658Z 
2022-11-23T01:32:37.4928723Z ok (2.700s)
2022-11-23T01:32:37.4929031Z   test_index_put1_cpu (__main__.CpuTests) ... [2022-11-23 01:21:18,097] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4929298Z [2022-11-23 01:21:18,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4929516Z [2022-11-23 01:21:18,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4929767Z [2022-11-23 01:21:18,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4930052Z [2022-11-23 01:21:18,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4930370Z [2022-11-23 01:21:18,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4930697Z [2022-11-23 01:21:18,098] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64371e0, file "inductor/test_torchinductor.py", line 3448> 
2022-11-23T01:32:37.4930791Z  3450           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.4930880Z                2 LOAD_METHOD              1 (index_put)
2022-11-23T01:32:37.4930972Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4931060Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4931150Z                8 BUILD_LIST               1
2022-11-23T01:32:37.4931237Z               10 LOAD_FAST                2 (c)
2022-11-23T01:32:37.4931326Z               12 CALL_METHOD              3
2022-11-23T01:32:37.4931331Z 
2022-11-23T01:32:37.4931426Z 3451          14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.4931514Z               16 LOAD_METHOD              2 (index_put_)
2022-11-23T01:32:37.4931632Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4931720Z               20 LOAD_CONST               1 (1)
2022-11-23T01:32:37.4931794Z               22 BINARY_ADD
2022-11-23T01:32:37.4931882Z               24 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4931969Z               26 LOAD_CONST               1 (1)
2022-11-23T01:32:37.4932043Z               28 BINARY_ADD
2022-11-23T01:32:37.4932115Z               30 BUILD_LIST               1
2022-11-23T01:32:37.4932231Z               32 LOAD_FAST                2 (c)
2022-11-23T01:32:37.4932319Z               34 LOAD_CONST               1 (1)
2022-11-23T01:32:37.4932389Z               36 BINARY_ADD
2022-11-23T01:32:37.4932476Z               38 CALL_METHOD              3
2022-11-23T01:32:37.4932561Z               40 LOAD_CONST               1 (1)
2022-11-23T01:32:37.4932633Z               42 BINARY_ADD
2022-11-23T01:32:37.4932708Z               44 BUILD_TUPLE              2
2022-11-23T01:32:37.4932783Z               46 RETURN_VALUE
2022-11-23T01:32:37.4932847Z  
2022-11-23T01:32:37.4932851Z 
2022-11-23T01:32:37.4933123Z [2022-11-23 01:21:18,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3450
2022-11-23T01:32:37.4933342Z [2022-11-23 01:21:18,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.4933713Z [2022-11-23 01:21:18,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.4934037Z [2022-11-23 01:21:18,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_put of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.4934392Z [2022-11-23 01:21:18,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_put of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.4934778Z [2022-11-23 01:21:18,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<built-in method index_put of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4935156Z [2022-11-23 01:21:18,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(<built-in method index_put of type object at 0x7f71f2abebc0>), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.4935571Z [2022-11-23 01:21:18,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method index_put of type object at 0x7f71f2abebc0>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:37.4935824Z [2022-11-23 01:21:18,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3451
2022-11-23T01:32:37.4936071Z [2022-11-23 01:21:18,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.4936470Z [2022-11-23 01:21:18,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.4936830Z [2022-11-23 01:21:18,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.4937213Z [2022-11-23 01:21:18,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.4937640Z [2022-11-23 01:21:18,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4938019Z [2022-11-23 01:21:18,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.4938508Z [2022-11-23 01:21:18,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4939022Z [2022-11-23 01:21:18,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4939435Z [2022-11-23 01:21:18,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4939839Z [2022-11-23 01:21:18,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f71f2abebc0>), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.4940286Z [2022-11-23 01:21:18,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f71f2abebc0>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:37.4940771Z [2022-11-23 01:21:18,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f71f2abebc0>), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4941214Z [2022-11-23 01:21:18,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f71f2abebc0>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:37.4941480Z [2022-11-23 01:21:18,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4941779Z [2022-11-23 01:21:18,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4942047Z [2022-11-23 01:21:18,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4942294Z [2022-11-23 01:21:18,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4942625Z [2022-11-23 01:21:18,114] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64371e0, file "inductor/test_torchinductor.py", line 3448>
2022-11-23T01:32:37.4942871Z [2022-11-23 01:21:18,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4943105Z [2022-11-23 01:21:18,114] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4943359Z [2022-11-23 01:21:18,126] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4943607Z [2022-11-23 01:21:18,139] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4943796Z [2022-11-23 01:21:18,139] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4943932Z  __compiled_fn_194 <eval_with_key>.1228 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4944009Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4944096Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.4944181Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.4944510Z call_function, index_put, <built-in method index_put of type object at 0x7f71f2abebc0>, (ex_0_, [ex_1_], ex_2_), {}
2022-11-23T01:32:37.4944686Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.4944860Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:37.4945031Z call_function, add_2, <built-in function add>, (ex_2_, 1), {}
2022-11-23T01:32:37.4945277Z call_function, index_put_, <built-in method index_put_ of type object at 0x7f71f2abebc0>, (add, [add_1], add_2), {}
2022-11-23T01:32:37.4945496Z call_function, add_3, <built-in function add>, (index_put_, 1), {}
2022-11-23T01:32:37.4945607Z output, output, output, ((index_put, add_3),), {}
2022-11-23T01:32:37.4945612Z 
2022-11-23T01:32:37.4945891Z [2022-11-23 01:21:18,162] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4946018Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4946108Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4946199Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4946290Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4946353Z               8 RETURN_VALUE
2022-11-23T01:32:37.4946358Z 
2022-11-23T01:32:37.4946418Z  
2022-11-23T01:32:37.4946695Z [2022-11-23 01:21:18,162] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4946803Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_194)
2022-11-23T01:32:37.4946893Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4946980Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4947056Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4947142Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4947217Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4947292Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.4947379Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4947466Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.4947539Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.4947627Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.4947728Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4947817Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4947908Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4947983Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.4948081Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4948167Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4948240Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.4948326Z              36 BUILD_TUPLE              2
2022-11-23T01:32:37.4948387Z              38 RETURN_VALUE
2022-11-23T01:32:37.4948392Z 
2022-11-23T01:32:37.4948453Z  
2022-11-23T01:32:37.4948634Z [2022-11-23 01:21:18,164] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4948701Z  - 
2022-11-23T01:32:37.4948818Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4948883Z             {
2022-11-23T01:32:37.4949021Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4949193Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 3'],
2022-11-23T01:32:37.4949310Z                 'obj_weakref': None
2022-11-23T01:32:37.4949533Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4949601Z             }
2022-11-23T01:32:37.4949663Z             
2022-11-23T01:32:37.4949732Z  - 
2022-11-23T01:32:37.4949856Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4949906Z             {
2022-11-23T01:32:37.4950047Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4950153Z                 'code': None,
2022-11-23T01:32:37.4950360Z                 'obj_weakref': <weakref at 0x7f710672dd10; to 'Tensor' at 0x7f710672da70>
2022-11-23T01:32:37.4950608Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4950671Z             }
2022-11-23T01:32:37.4950733Z             
2022-11-23T01:32:37.4950789Z  - 
2022-11-23T01:32:37.4950911Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.4950973Z             {
2022-11-23T01:32:37.4951113Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4951253Z                 'code': None,
2022-11-23T01:32:37.4951458Z                 'obj_weakref': <weakref at 0x7f70f2775cb0; to 'Tensor' at 0x7f710672d9b0>
2022-11-23T01:32:37.4951700Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4951750Z             }
2022-11-23T01:32:37.4951812Z             
2022-11-23T01:32:37.4951879Z  - 
2022-11-23T01:32:37.4952033Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.4952096Z             {
2022-11-23T01:32:37.4952235Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4952340Z                 'code': None,
2022-11-23T01:32:37.4952528Z                 'obj_weakref': <weakref at 0x7f70f2775350; to 'Tensor' at 0x7f710672d050>
2022-11-23T01:32:37.4952770Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4952832Z             }
2022-11-23T01:32:37.4952895Z             
2022-11-23T01:32:37.4952964Z  - 
2022-11-23T01:32:37.4953092Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4953154Z             {
2022-11-23T01:32:37.4953273Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4953437Z                 'code': ['___check_obj_id(model, 140123422275056)'],
2022-11-23T01:32:37.4953553Z                 'obj_weakref': None
2022-11-23T01:32:37.4953780Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4953844Z             }
2022-11-23T01:32:37.4953906Z             
2022-11-23T01:32:37.4953973Z  - 
2022-11-23T01:32:37.4954080Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4954141Z             {
2022-11-23T01:32:37.4954275Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4954493Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4954611Z                 'obj_weakref': None
2022-11-23T01:32:37.4954831Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4954896Z             }
2022-11-23T01:32:37.4954945Z             
2022-11-23T01:32:37.4955013Z  - 
2022-11-23T01:32:37.4955144Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.4955207Z             {
2022-11-23T01:32:37.4955324Z                 'guard_types': None,
2022-11-23T01:32:37.4955430Z                 'code': None,
2022-11-23T01:32:37.4955546Z                 'obj_weakref': None
2022-11-23T01:32:37.4955651Z                 'guarded_class': None
2022-11-23T01:32:37.4955712Z             }
2022-11-23T01:32:37.4955773Z             
2022-11-23T01:32:37.4956031Z [2022-11-23 01:21:18,181] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 193
2022-11-23T01:32:37.4956400Z [2022-11-23 01:21:20,771] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3o/c3omuuv5s7srntbtkvd5uegg2nrrnbks6lqzfktzdcgpgjci5iaw.py
2022-11-23T01:32:37.4956665Z [2022-11-23 01:21:20,772] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 193
2022-11-23T01:32:37.4956899Z [2022-11-23 01:21:24,900] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.4957288Z [2022-11-23 01:21:24,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.4957497Z [2022-11-23 01:21:24,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.4957748Z [2022-11-23 01:21:24,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.4958031Z [2022-11-23 01:21:24,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.4958351Z [2022-11-23 01:21:24,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.4958739Z [2022-11-23 01:21:24,901] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64371e0, file "inductor/test_torchinductor.py", line 3448> 
2022-11-23T01:32:37.4958837Z  3450           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.4958939Z                2 LOAD_METHOD              1 (index_put)
2022-11-23T01:32:37.4959031Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4959155Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4959232Z                8 BUILD_LIST               1
2022-11-23T01:32:37.4959320Z               10 LOAD_FAST                2 (c)
2022-11-23T01:32:37.4959409Z               12 CALL_METHOD              3
2022-11-23T01:32:37.4959416Z 
2022-11-23T01:32:37.4959510Z 3451          14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.4959612Z               16 LOAD_METHOD              2 (index_put_)
2022-11-23T01:32:37.4959700Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:37.4959791Z               20 LOAD_CONST               1 (1)
2022-11-23T01:32:37.4959851Z               22 BINARY_ADD
2022-11-23T01:32:37.4959938Z               24 LOAD_FAST                1 (b)
2022-11-23T01:32:37.4960024Z               26 LOAD_CONST               1 (1)
2022-11-23T01:32:37.4960096Z               28 BINARY_ADD
2022-11-23T01:32:37.4960182Z               30 BUILD_LIST               1
2022-11-23T01:32:37.4960268Z               32 LOAD_FAST                2 (c)
2022-11-23T01:32:37.4960355Z               34 LOAD_CONST               1 (1)
2022-11-23T01:32:37.4960413Z               36 BINARY_ADD
2022-11-23T01:32:37.4960499Z               38 CALL_METHOD              3
2022-11-23T01:32:37.4960583Z               40 LOAD_CONST               1 (1)
2022-11-23T01:32:37.4960652Z               42 BINARY_ADD
2022-11-23T01:32:37.4960741Z               44 BUILD_TUPLE              2
2022-11-23T01:32:37.4960816Z               46 RETURN_VALUE
2022-11-23T01:32:37.4960879Z  
2022-11-23T01:32:37.4960886Z 
2022-11-23T01:32:37.4961157Z [2022-11-23 01:21:24,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3450
2022-11-23T01:32:37.4961363Z [2022-11-23 01:21:24,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.4961737Z [2022-11-23 01:21:24,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.4962064Z [2022-11-23 01:21:24,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_put of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.4962413Z [2022-11-23 01:21:24,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_put of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.4962799Z [2022-11-23 01:21:24,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<built-in method index_put of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4963172Z [2022-11-23 01:21:24,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(<built-in method index_put of type object at 0x7f71f2abebc0>), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.4963587Z [2022-11-23 01:21:24,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method index_put of type object at 0x7f71f2abebc0>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:37.4963851Z [2022-11-23 01:21:24,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3451
2022-11-23T01:32:37.4964096Z [2022-11-23 01:21:24,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.4964494Z [2022-11-23 01:21:24,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.4964878Z [2022-11-23 01:21:24,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.4965293Z [2022-11-23 01:21:24,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.4965708Z [2022-11-23 01:21:24,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4966087Z [2022-11-23 01:21:24,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.4966496Z [2022-11-23 01:21:24,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4966945Z [2022-11-23 01:21:24,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4967354Z [2022-11-23 01:21:24,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4967756Z [2022-11-23 01:21:24,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f71f2abebc0>), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.4968196Z [2022-11-23 01:21:24,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f71f2abebc0>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:37.4968677Z [2022-11-23 01:21:24,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f71f2abebc0>), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4969119Z [2022-11-23 01:21:24,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method index_put_ of type object at 0x7f71f2abebc0>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:37.4969383Z [2022-11-23 01:21:24,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4969689Z [2022-11-23 01:21:24,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.4969956Z [2022-11-23 01:21:24,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.4970202Z [2022-11-23 01:21:24,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4970530Z [2022-11-23 01:21:24,914] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64371e0, file "inductor/test_torchinductor.py", line 3448>
2022-11-23T01:32:37.4970771Z [2022-11-23 01:21:24,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.4970993Z [2022-11-23 01:21:24,914] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.4971244Z [2022-11-23 01:21:24,916] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.4971491Z [2022-11-23 01:21:24,928] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.4971704Z [2022-11-23 01:21:24,928] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.4971839Z  __compiled_fn_195 <eval_with_key>.1234 opcode, name, target, args, kwargs
2022-11-23T01:32:37.4971929Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.4972016Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.4972099Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.4972385Z call_function, index_put, <built-in method index_put of type object at 0x7f71f2abebc0>, (ex_0_, [ex_1_], ex_2_), {}
2022-11-23T01:32:37.4972561Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.4972732Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:37.4972903Z call_function, add_2, <built-in function add>, (ex_2_, 1), {}
2022-11-23T01:32:37.4973164Z call_function, index_put_, <built-in method index_put_ of type object at 0x7f71f2abebc0>, (add, [add_1], add_2), {}
2022-11-23T01:32:37.4973346Z call_function, add_3, <built-in function add>, (index_put_, 1), {}
2022-11-23T01:32:37.4973454Z output, output, output, ((index_put, add_3),), {}
2022-11-23T01:32:37.4973459Z 
2022-11-23T01:32:37.4973735Z [2022-11-23 01:21:24,929] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4973815Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.4973905Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4973995Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.4974084Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.4974161Z               8 RETURN_VALUE
2022-11-23T01:32:37.4974166Z 
2022-11-23T01:32:37.4974227Z  
2022-11-23T01:32:37.4974504Z [2022-11-23 01:21:24,929] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.4974610Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_195)
2022-11-23T01:32:37.4974688Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4974776Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4974854Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.4974942Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4975033Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4975107Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.4975198Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.4975274Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.4975349Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.4975437Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.4975539Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.4975638Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4975725Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:37.4975801Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.4975886Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.4975971Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:37.4976045Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.4976132Z              36 BUILD_TUPLE              2
2022-11-23T01:32:37.4976206Z              38 RETURN_VALUE
2022-11-23T01:32:37.4976212Z 
2022-11-23T01:32:37.4976271Z  
2022-11-23T01:32:37.4976454Z [2022-11-23 01:21:24,930] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.4976509Z  - 
2022-11-23T01:32:37.4976626Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.4976692Z             {
2022-11-23T01:32:37.4976831Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.4977014Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 3'],
2022-11-23T01:32:37.4977131Z                 'obj_weakref': None
2022-11-23T01:32:37.4977359Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.4977441Z             }
2022-11-23T01:32:37.4977504Z             
2022-11-23T01:32:37.4977573Z  - 
2022-11-23T01:32:37.4977696Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.4977762Z             {
2022-11-23T01:32:37.4977903Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4978008Z                 'code': None,
2022-11-23T01:32:37.4978234Z                 'obj_weakref': <weakref at 0x7f70f27751d0; to 'Tensor' at 0x7f70f276cbf0>
2022-11-23T01:32:37.4978485Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4978552Z             }
2022-11-23T01:32:37.4978617Z             
2022-11-23T01:32:37.4978685Z  - 
2022-11-23T01:32:37.4978806Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.4978869Z             {
2022-11-23T01:32:37.4978997Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4979105Z                 'code': None,
2022-11-23T01:32:37.4979310Z                 'obj_weakref': <weakref at 0x7f70f273a0b0; to 'Tensor' at 0x7f710672da70>
2022-11-23T01:32:37.4979552Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4979616Z             }
2022-11-23T01:32:37.4979677Z             
2022-11-23T01:32:37.4979748Z  - 
2022-11-23T01:32:37.4979857Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.4979923Z             {
2022-11-23T01:32:37.4980064Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.4980170Z                 'code': None,
2022-11-23T01:32:37.4980374Z                 'obj_weakref': <weakref at 0x7f70f296efb0; to 'Tensor' at 0x7f710672df50>
2022-11-23T01:32:37.4980619Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.4980683Z             }
2022-11-23T01:32:37.4980733Z             
2022-11-23T01:32:37.4980805Z  - 
2022-11-23T01:32:37.4980937Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.4981001Z             {
2022-11-23T01:32:37.4981134Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.4981303Z                 'code': ['___check_obj_id(model, 140123422275056)'],
2022-11-23T01:32:37.4981423Z                 'obj_weakref': None
2022-11-23T01:32:37.4981637Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.4981703Z             }
2022-11-23T01:32:37.4981766Z             
2022-11-23T01:32:37.4981835Z  - 
2022-11-23T01:32:37.4981957Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.4982021Z             {
2022-11-23T01:32:37.4982159Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.4982363Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.4982482Z                 'obj_weakref': None
2022-11-23T01:32:37.4982700Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.4982766Z             }
2022-11-23T01:32:37.4982829Z             
2022-11-23T01:32:37.4982899Z  - 
2022-11-23T01:32:37.4983033Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.4983083Z             {
2022-11-23T01:32:37.4983203Z                 'guard_types': None,
2022-11-23T01:32:37.4983310Z                 'code': None,
2022-11-23T01:32:37.4983429Z                 'obj_weakref': None
2022-11-23T01:32:37.4983550Z                 'guarded_class': None
2022-11-23T01:32:37.4983615Z             }
2022-11-23T01:32:37.4983680Z             
2022-11-23T01:32:37.4983927Z [2022-11-23 01:21:24,947] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 194
2022-11-23T01:32:37.4984302Z [2022-11-23 01:21:27,521] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fu/cfuc2domjdicxeqxc4qk4vmiwiumm5wftvz6eazzlsc3lnhk7o2q.py
2022-11-23T01:32:37.4984689Z [2022-11-23 01:21:27,521] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 194
2022-11-23T01:32:37.4984695Z 
2022-11-23T01:32:37.4984794Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4984865Z import torch
2022-11-23T01:32:37.4984934Z import random
2022-11-23T01:32:37.4985049Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4985172Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4985177Z 
2022-11-23T01:32:37.4985310Z aten = torch.ops.aten
2022-11-23T01:32:37.4985446Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4985538Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4985544Z 
2022-11-23T01:32:37.4985548Z 
2022-11-23T01:32:37.4985685Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4985892Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4986013Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.4986121Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:37.4986226Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.4986311Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.4986408Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.4986505Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:37.4986567Z {
2022-11-23T01:32:37.4986669Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4986733Z     {
2022-11-23T01:32:37.4986811Z         #pragma omp for 
2022-11-23T01:32:37.4986885Z         for(long i0=0; i0<627200; i0+=1)
2022-11-23T01:32:37.4986949Z         {
2022-11-23T01:32:37.4987098Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.4987234Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.4987319Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4987412Z             tmp0.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.4987500Z             tmp2.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.4987550Z         }
2022-11-23T01:32:37.4987642Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.4987734Z         for(long i0=10035200; i0<10035200; i0+=1)
2022-11-23T01:32:37.4987798Z         {
2022-11-23T01:32:37.4987881Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.4987978Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:37.4988064Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4988131Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:37.4988207Z             out_ptr1[i0] = tmp2;
2022-11-23T01:32:37.4988268Z         }
2022-11-23T01:32:37.4988342Z         #pragma omp for 
2022-11-23T01:32:37.4988425Z         for(long i0=0; i0<601; i0+=1)
2022-11-23T01:32:37.4988485Z         {
2022-11-23T01:32:37.4988565Z             #pragma GCC ivdep
2022-11-23T01:32:37.4988640Z             for(long i1=0; i1<12544; i1+=1)
2022-11-23T01:32:37.4988704Z             {
2022-11-23T01:32:37.4988768Z                 {
2022-11-23T01:32:37.4988834Z                     {
2022-11-23T01:32:37.4988930Z                         auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:37.4989031Z                         auto tmp1 = in_ptr2[i1 + (12544*i0)];
2022-11-23T01:32:37.4989132Z                         auto tmp2 = static_cast<long>(1);
2022-11-23T01:32:37.4989212Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:37.4989322Z                         auto tmp4 = static_cast<float>(1);
2022-11-23T01:32:37.4989413Z                         auto tmp5 = tmp1 + tmp4;
2022-11-23T01:32:37.4989512Z                         out_ptr0[i1 + (12544*tmp0)] = tmp1;
2022-11-23T01:32:37.4989609Z                         out_ptr1[i1 + (12544*tmp3)] = tmp5;
2022-11-23T01:32:37.4989674Z                     }
2022-11-23T01:32:37.4989737Z                 }
2022-11-23T01:32:37.4989787Z             }
2022-11-23T01:32:37.4989848Z         }
2022-11-23T01:32:37.4989925Z         #pragma omp for 
2022-11-23T01:32:37.4990040Z         for(long i0=0; i0<627200; i0+=1)
2022-11-23T01:32:37.4990101Z         {
2022-11-23T01:32:37.4990235Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 16*i0);
2022-11-23T01:32:37.4990366Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.4990439Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4990526Z             tmp2.store(out_ptr2 + 16*i0);
2022-11-23T01:32:37.4990588Z         }
2022-11-23T01:32:37.4990708Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.4990799Z         for(long i0=10035200; i0<10035200; i0+=1)
2022-11-23T01:32:37.4990861Z         {
2022-11-23T01:32:37.4990945Z             auto tmp0 = out_ptr1[i0];
2022-11-23T01:32:37.4991029Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:37.4991112Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4991191Z             out_ptr2[i0] = tmp2;
2022-11-23T01:32:37.4991252Z         }
2022-11-23T01:32:37.4991316Z     }
2022-11-23T01:32:37.4991374Z }
2022-11-23T01:32:37.4991453Z ''')
2022-11-23T01:32:37.4991461Z 
2022-11-23T01:32:37.4991466Z 
2022-11-23T01:32:37.4991540Z async_compile.wait(globals())
2022-11-23T01:32:37.4991612Z del async_compile
2022-11-23T01:32:37.4991617Z 
2022-11-23T01:32:37.4991687Z def call(args):
2022-11-23T01:32:37.4991766Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.4991837Z     args.clear()
2022-11-23T01:32:37.4992059Z     buf0 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4992280Z     buf2 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4992497Z     buf4 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4992720Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:37.4992790Z     del arg0_1
2022-11-23T01:32:37.4992855Z     del arg1_1
2022-11-23T01:32:37.4992919Z     del arg2_1
2022-11-23T01:32:37.4992994Z     return (buf0, buf4, )
2022-11-23T01:32:37.4993000Z 
2022-11-23T01:32:37.4993004Z 
2022-11-23T01:32:37.4993078Z if __name__ == "__main__":
2022-11-23T01:32:37.4993191Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.4993312Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.4993521Z     arg0_1 = rand_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4993711Z     arg1_1 = rand_strided((601, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.4993928Z     arg2_1 = rand_strided((601, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.4994048Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.4994053Z 
2022-11-23T01:32:37.4994057Z 
2022-11-23T01:32:37.4994149Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.4994222Z import torch
2022-11-23T01:32:37.4994292Z import random
2022-11-23T01:32:37.4994405Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.4994512Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.4994517Z 
2022-11-23T01:32:37.4994592Z aten = torch.ops.aten
2022-11-23T01:32:37.4994726Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.4994816Z async_compile = AsyncCompile()
2022-11-23T01:32:37.4994823Z 
2022-11-23T01:32:37.4994827Z 
2022-11-23T01:32:37.4994958Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.4995159Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.4995276Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.4995380Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:37.4995470Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.4995595Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.4995690Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.4995782Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:37.4995842Z {
2022-11-23T01:32:37.4995937Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.4995999Z     {
2022-11-23T01:32:37.4996062Z         #pragma omp for 
2022-11-23T01:32:37.4996143Z         for(long i0=0; i0<512; i0+=1)
2022-11-23T01:32:37.4996232Z         {
2022-11-23T01:32:37.4996363Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.4996493Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.4996578Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4996667Z             tmp0.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.4996746Z             tmp2.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.4996805Z         }
2022-11-23T01:32:37.4996899Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.4996984Z         for(long i0=8192; i0<8192; i0+=1)
2022-11-23T01:32:37.4997047Z         {
2022-11-23T01:32:37.4997289Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.4997390Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:37.4997462Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4997541Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:37.4997620Z             out_ptr1[i0] = tmp2;
2022-11-23T01:32:37.4997682Z         }
2022-11-23T01:32:37.4997760Z         #pragma omp for 
2022-11-23T01:32:37.4997840Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.4997904Z         {
2022-11-23T01:32:37.4997971Z             #pragma GCC ivdep
2022-11-23T01:32:37.4998055Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:37.4998119Z             {
2022-11-23T01:32:37.4998184Z                 {
2022-11-23T01:32:37.4998252Z                     {
2022-11-23T01:32:37.4998347Z                         auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:37.4998444Z                         auto tmp1 = in_ptr2[i0];
2022-11-23T01:32:37.4998534Z                         auto tmp2 = static_cast<long>(1);
2022-11-23T01:32:37.4998627Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:37.4998730Z                         auto tmp4 = static_cast<float>(1);
2022-11-23T01:32:37.4998821Z                         auto tmp5 = tmp1 + tmp4;
2022-11-23T01:32:37.4998916Z                         out_ptr0[i1 + (8*tmp0)] = tmp1;
2022-11-23T01:32:37.4999015Z                         out_ptr1[i1 + (8*tmp3)] = tmp5;
2022-11-23T01:32:37.4999079Z                     }
2022-11-23T01:32:37.4999131Z                 }
2022-11-23T01:32:37.4999193Z             }
2022-11-23T01:32:37.4999254Z         }
2022-11-23T01:32:37.4999328Z         #pragma omp for 
2022-11-23T01:32:37.4999409Z         for(long i0=0; i0<512; i0+=1)
2022-11-23T01:32:37.4999471Z         {
2022-11-23T01:32:37.4999603Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 16*i0);
2022-11-23T01:32:37.4999723Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.4999806Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.4999896Z             tmp2.store(out_ptr2 + 16*i0);
2022-11-23T01:32:37.4999958Z         }
2022-11-23T01:32:37.5000052Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.5000136Z         for(long i0=8192; i0<8192; i0+=1)
2022-11-23T01:32:37.5000198Z         {
2022-11-23T01:32:37.5000271Z             auto tmp0 = out_ptr1[i0];
2022-11-23T01:32:37.5000367Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:37.5000450Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.5000529Z             out_ptr2[i0] = tmp2;
2022-11-23T01:32:37.5000591Z         }
2022-11-23T01:32:37.5000651Z     }
2022-11-23T01:32:37.5000697Z }
2022-11-23T01:32:37.5000778Z ''')
2022-11-23T01:32:37.5000783Z 
2022-11-23T01:32:37.5000787Z 
2022-11-23T01:32:37.5000874Z async_compile.wait(globals())
2022-11-23T01:32:37.5000945Z del async_compile
2022-11-23T01:32:37.5001011Z 
2022-11-23T01:32:37.5001082Z def call(args):
2022-11-23T01:32:37.5001165Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.5001240Z     args.clear()
2022-11-23T01:32:37.5001455Z     buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5001644Z     buf2 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5001873Z     buf4 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5002113Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:37.5002182Z     del arg0_1
2022-11-23T01:32:37.5002252Z     del arg1_1
2022-11-23T01:32:37.5002319Z     del arg2_1
2022-11-23T01:32:37.5002396Z     return (buf0, buf4, )
2022-11-23T01:32:37.5002402Z 
2022-11-23T01:32:37.5002406Z 
2022-11-23T01:32:37.5002483Z if __name__ == "__main__":
2022-11-23T01:32:37.5002587Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5002708Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5002912Z     arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5003095Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.5003298Z     arg2_1 = rand_strided((4, 1, 1), (1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5003419Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.5003423Z 
2022-11-23T01:32:37.5003488Z ok (10.344s)
2022-11-23T01:32:37.5003797Z   test_index_put2_cpu (__main__.CpuTests) ... [2022-11-23 01:21:27,876] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5004054Z [2022-11-23 01:21:27,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5004274Z [2022-11-23 01:21:27,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5004524Z [2022-11-23 01:21:27,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.5004808Z [2022-11-23 01:21:27,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.5005127Z [2022-11-23 01:21:27,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5005451Z [2022-11-23 01:21:27,877] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6437420, file "inductor/test_torchinductor.py", line 3467> 
2022-11-23T01:32:37.5005547Z  3468           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5005646Z                2 LOAD_METHOD              1 (index_put)
2022-11-23T01:32:37.5005737Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5005816Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.5005903Z                8 BUILD_LIST               1
2022-11-23T01:32:37.5005991Z               10 LOAD_FAST                2 (c)
2022-11-23T01:32:37.5006084Z               12 LOAD_CONST               1 (True)
2022-11-23T01:32:37.5006171Z               14 CALL_METHOD              4
2022-11-23T01:32:37.5006246Z               16 RETURN_VALUE
2022-11-23T01:32:37.5006306Z  
2022-11-23T01:32:37.5006310Z 
2022-11-23T01:32:37.5006579Z [2022-11-23 01:21:27,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3468
2022-11-23T01:32:37.5006786Z [2022-11-23 01:21:27,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5007155Z [2022-11-23 01:21:27,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5007480Z [2022-11-23 01:21:27,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_put of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.5007862Z [2022-11-23 01:21:27,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_put of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.5008271Z [2022-11-23 01:21:27,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<built-in method index_put of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5008643Z [2022-11-23 01:21:27,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(<built-in method index_put of type object at 0x7f71f2abebc0>), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.5009055Z [2022-11-23 01:21:27,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<built-in method index_put of type object at 0x7f71f2abebc0>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:37.5009506Z [2022-11-23 01:21:27,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(<built-in method index_put of type object at 0x7f71f2abebc0>), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.5009754Z [2022-11-23 01:21:27,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5010083Z [2022-11-23 01:21:27,881] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6437420, file "inductor/test_torchinductor.py", line 3467>
2022-11-23T01:32:37.5010326Z [2022-11-23 01:21:27,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5010560Z [2022-11-23 01:21:27,881] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5010802Z [2022-11-23 01:21:27,889] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5011050Z [2022-11-23 01:21:27,897] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5011237Z [2022-11-23 01:21:27,897] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5011371Z  __compiled_fn_196 <eval_with_key>.1240 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5011460Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5011545Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.5011631Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.5011899Z call_function, index_put, <built-in method index_put of type object at 0x7f71f2abebc0>, (ex_0_, [ex_1_], ex_2_, True), {}
2022-11-23T01:32:37.5011992Z output, output, output, ((index_put,),), {}
2022-11-23T01:32:37.5011997Z 
2022-11-23T01:32:37.5012269Z [2022-11-23 01:21:27,898] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5012362Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5012455Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5012545Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5012633Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5012708Z               8 RETURN_VALUE
2022-11-23T01:32:37.5012714Z 
2022-11-23T01:32:37.5012774Z  
2022-11-23T01:32:37.5013039Z [2022-11-23 01:21:27,898] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5013145Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_196)
2022-11-23T01:32:37.5013234Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5013323Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5013398Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5013486Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5013573Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5013635Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.5013753Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5013837Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.5013910Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.5013998Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.5014087Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.5014160Z              24 RETURN_VALUE
2022-11-23T01:32:37.5014165Z 
2022-11-23T01:32:37.5014212Z  
2022-11-23T01:32:37.5014434Z [2022-11-23 01:21:27,899] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5014505Z  - 
2022-11-23T01:32:37.5014625Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5014690Z             {
2022-11-23T01:32:37.5014830Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5015018Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 3'],
2022-11-23T01:32:37.5015125Z                 'obj_weakref': None
2022-11-23T01:32:37.5015351Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5015420Z             }
2022-11-23T01:32:37.5015484Z             
2022-11-23T01:32:37.5015554Z  - 
2022-11-23T01:32:37.5015678Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5015742Z             {
2022-11-23T01:32:37.5015871Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5015979Z                 'code': None,
2022-11-23T01:32:37.5016190Z                 'obj_weakref': <weakref at 0x7f7106d70290; to 'Tensor' at 0x7f71c0f6fad0>
2022-11-23T01:32:37.5016439Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5016503Z             }
2022-11-23T01:32:37.5016567Z             
2022-11-23T01:32:37.5016637Z  - 
2022-11-23T01:32:37.5016746Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.5016808Z             {
2022-11-23T01:32:37.5016951Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5017059Z                 'code': None,
2022-11-23T01:32:37.5017264Z                 'obj_weakref': <weakref at 0x7f70f296e9b0; to 'Tensor' at 0x7f70f28b92f0>
2022-11-23T01:32:37.5017508Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5017572Z             }
2022-11-23T01:32:37.5017622Z             
2022-11-23T01:32:37.5017691Z  - 
2022-11-23T01:32:37.5017814Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.5017879Z             {
2022-11-23T01:32:37.5018019Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5018125Z                 'code': None,
2022-11-23T01:32:37.5018330Z                 'obj_weakref': <weakref at 0x7f71c0e7f2f0; to 'Tensor' at 0x7f70f28b9590>
2022-11-23T01:32:37.5018558Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5018625Z             }
2022-11-23T01:32:37.5018690Z             
2022-11-23T01:32:37.5018758Z  - 
2022-11-23T01:32:37.5018891Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.5018955Z             {
2022-11-23T01:32:37.5019089Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5019245Z                 'code': ['___check_obj_id(model, 140123523634096)'],
2022-11-23T01:32:37.5019364Z                 'obj_weakref': None
2022-11-23T01:32:37.5019591Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.5019656Z             }
2022-11-23T01:32:37.5019719Z             
2022-11-23T01:32:37.5019788Z  - 
2022-11-23T01:32:37.5019910Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5019960Z             {
2022-11-23T01:32:37.5020099Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5020319Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5020441Z                 'obj_weakref': None
2022-11-23T01:32:37.5020692Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5020757Z             }
2022-11-23T01:32:37.5020821Z             
2022-11-23T01:32:37.5020877Z  - 
2022-11-23T01:32:37.5026507Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.5026589Z             {
2022-11-23T01:32:37.5026740Z                 'guard_types': None,
2022-11-23T01:32:37.5026851Z                 'code': None,
2022-11-23T01:32:37.5027043Z                 'obj_weakref': None
2022-11-23T01:32:37.5027168Z                 'guarded_class': None
2022-11-23T01:32:37.5027220Z             }
2022-11-23T01:32:37.5027286Z             
2022-11-23T01:32:37.5027556Z [2022-11-23 01:21:27,909] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 195
2022-11-23T01:32:37.5027927Z [2022-11-23 01:21:30,470] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/w3/cw3h3cjlqkstf24vk6jdd7uatwwck5ev2omojsbcodmllqpbgabj.py
2022-11-23T01:32:37.5028198Z [2022-11-23 01:21:30,471] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 195
2022-11-23T01:32:37.5028206Z 
2022-11-23T01:32:37.5028301Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5028370Z import torch
2022-11-23T01:32:37.5028442Z import random
2022-11-23T01:32:37.5028544Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5028663Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5028671Z 
2022-11-23T01:32:37.5028749Z aten = torch.ops.aten
2022-11-23T01:32:37.5028883Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5028974Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5028979Z 
2022-11-23T01:32:37.5028983Z 
2022-11-23T01:32:37.5029115Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5029318Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5029436Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.5029530Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:37.5029632Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.5029730Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.5029792Z {
2022-11-23T01:32:37.5029893Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5029956Z     {
2022-11-23T01:32:37.5030032Z         #pragma omp for 
2022-11-23T01:32:37.5030105Z         for(long i0=0; i0<78400; i0+=1)
2022-11-23T01:32:37.5030167Z         {
2022-11-23T01:32:37.5030304Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.5030398Z             tmp0.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.5030461Z         }
2022-11-23T01:32:37.5030559Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.5030652Z         for(long i0=1254400; i0<1254400; i0+=1)
2022-11-23T01:32:37.5030703Z         {
2022-11-23T01:32:37.5030787Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.5030868Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:37.5030929Z         }
2022-11-23T01:32:37.5031005Z         #pragma omp for 
2022-11-23T01:32:37.5031088Z         for(long i0=0; i0<600; i0+=1)
2022-11-23T01:32:37.5031149Z         {
2022-11-23T01:32:37.5031215Z             #pragma GCC ivdep
2022-11-23T01:32:37.5031301Z             for(long i1=0; i1<12544; i1+=1)
2022-11-23T01:32:37.5031364Z             {
2022-11-23T01:32:37.5031432Z                 {
2022-11-23T01:32:37.5031499Z                     {
2022-11-23T01:32:37.5031591Z                         auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:37.5031693Z                         auto tmp1 = in_ptr2[i1 + (12544*i0)];
2022-11-23T01:32:37.5031794Z                         atomic_add(&out_ptr0[i1 + (12544*tmp0)], tmp1);
2022-11-23T01:32:37.5031859Z                     }
2022-11-23T01:32:37.5031925Z                 }
2022-11-23T01:32:37.5031988Z             }
2022-11-23T01:32:37.5032049Z         }
2022-11-23T01:32:37.5032142Z     }
2022-11-23T01:32:37.5032188Z }
2022-11-23T01:32:37.5032267Z ''')
2022-11-23T01:32:37.5032273Z 
2022-11-23T01:32:37.5032277Z 
2022-11-23T01:32:37.5032367Z async_compile.wait(globals())
2022-11-23T01:32:37.5032441Z del async_compile
2022-11-23T01:32:37.5032445Z 
2022-11-23T01:32:37.5032515Z def call(args):
2022-11-23T01:32:37.5032596Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.5032667Z     args.clear()
2022-11-23T01:32:37.5032917Z     buf0 = empty_strided((100, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5033098Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.5033167Z     del arg0_1
2022-11-23T01:32:37.5033232Z     del arg1_1
2022-11-23T01:32:37.5033295Z     del arg2_1
2022-11-23T01:32:37.5033366Z     return (buf0, )
2022-11-23T01:32:37.5033371Z 
2022-11-23T01:32:37.5033375Z 
2022-11-23T01:32:37.5033453Z if __name__ == "__main__":
2022-11-23T01:32:37.5033570Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5033679Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5033901Z     arg0_1 = rand_strided((100, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5034093Z     arg1_1 = rand_strided((600, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.5034314Z     arg2_1 = rand_strided((600, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5034434Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.5034439Z 
2022-11-23T01:32:37.5034506Z ok (3.270s)
2022-11-23T01:32:37.5034817Z   test_index_put3_cpu (__main__.CpuTests) ... [2022-11-23 01:21:30,815] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5035089Z [2022-11-23 01:21:30,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5035307Z [2022-11-23 01:21:30,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5035547Z [2022-11-23 01:21:30,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.5035835Z [2022-11-23 01:21:30,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.5036159Z [2022-11-23 01:21:30,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5036484Z [2022-11-23 01:21:30,816] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64375d0, file "inductor/test_torchinductor.py", line 3482> 
2022-11-23T01:32:37.5036580Z  3483           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5036672Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:37.5036763Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:37.5036866Z                6 LOAD_METHOD              3 (index_put_)
2022-11-23T01:32:37.5036954Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5037032Z               10 LOAD_CONST               0 (None)
2022-11-23T01:32:37.5037239Z               12 LOAD_FAST                1 (b)
2022-11-23T01:32:37.5037331Z               14 LOAD_CONST               0 (None)
2022-11-23T01:32:37.5037422Z               16 BUILD_TUPLE              3
2022-11-23T01:32:37.5037513Z               18 LOAD_FAST                2 (c)
2022-11-23T01:32:37.5037601Z               20 CALL_METHOD              3
2022-11-23T01:32:37.5037677Z               22 POP_TOP
2022-11-23T01:32:37.5037683Z 
2022-11-23T01:32:37.5037758Z 3484          24 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5037847Z               26 LOAD_CONST               1 (1)
2022-11-23T01:32:37.5037923Z               28 BINARY_ADD
2022-11-23T01:32:37.5038016Z               30 STORE_FAST               3 (a1)
2022-11-23T01:32:37.5038020Z 
2022-11-23T01:32:37.5038179Z 3485          32 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5038268Z               34 LOAD_ATTR                1 (ops)
2022-11-23T01:32:37.5038358Z               36 LOAD_ATTR                2 (aten)
2022-11-23T01:32:37.5038444Z               38 LOAD_METHOD              3 (index_put_)
2022-11-23T01:32:37.5038536Z               40 LOAD_FAST                3 (a1)
2022-11-23T01:32:37.5038626Z               42 LOAD_CONST               0 (None)
2022-11-23T01:32:37.5038750Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:37.5038846Z               46 LOAD_CONST               1 (1)
2022-11-23T01:32:37.5038919Z               48 BINARY_ADD
2022-11-23T01:32:37.5039009Z               50 LOAD_CONST               0 (None)
2022-11-23T01:32:37.5039097Z               52 BUILD_TUPLE              3
2022-11-23T01:32:37.5039172Z               54 LOAD_FAST                2 (c)
2022-11-23T01:32:37.5039262Z               56 LOAD_CONST               1 (1)
2022-11-23T01:32:37.5039335Z               58 BINARY_ADD
2022-11-23T01:32:37.5039421Z               60 CALL_METHOD              3
2022-11-23T01:32:37.5039491Z               62 POP_TOP
2022-11-23T01:32:37.5039497Z 
2022-11-23T01:32:37.5039582Z 3486          64 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5039671Z               66 LOAD_FAST                3 (a1)
2022-11-23T01:32:37.5039746Z               68 BUILD_TUPLE              2
2022-11-23T01:32:37.5039822Z               70 RETURN_VALUE
2022-11-23T01:32:37.5039881Z  
2022-11-23T01:32:37.5039888Z 
2022-11-23T01:32:37.5040164Z [2022-11-23 01:21:30,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3483
2022-11-23T01:32:37.5040382Z [2022-11-23 01:21:30,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5040746Z [2022-11-23 01:21:30,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5041042Z [2022-11-23 01:21:30,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:37.5041353Z [2022-11-23 01:21:30,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5041610Z [2022-11-23 01:21:30,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:37.5041889Z [2022-11-23 01:21:30,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:37.5042217Z [2022-11-23 01:21:30,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.5042584Z [2022-11-23 01:21:30,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:32:37.5042995Z [2022-11-23 01:21:30,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.5043305Z [2022-11-23 01:21:30,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.5043652Z [2022-11-23 01:21:30,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable()]
2022-11-23T01:32:37.5043893Z [2022-11-23 01:21:30,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:37.5044162Z [2022-11-23 01:21:30,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3484
2022-11-23T01:32:37.5044368Z [2022-11-23 01:21:30,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5044636Z [2022-11-23 01:21:30,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:37.5044913Z [2022-11-23 01:21:30,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5045139Z [2022-11-23 01:21:30,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a1 [TensorVariable()]
2022-11-23T01:32:37.5045430Z [2022-11-23 01:21:30,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3485
2022-11-23T01:32:37.5045650Z [2022-11-23 01:21:30,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5046006Z [2022-11-23 01:21:30,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5046294Z [2022-11-23 01:21:30,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:37.5046606Z [2022-11-23 01:21:30,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5046862Z [2022-11-23 01:21:30,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a1 [TorchVariable(aten.index_put_)]
2022-11-23T01:32:37.5047153Z [2022-11-23 01:21:30,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:37.5047482Z [2022-11-23 01:21:30,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.5047838Z [2022-11-23 01:21:30,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:32:37.5048245Z [2022-11-23 01:21:30,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5048594Z [2022-11-23 01:21:30,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:32:37.5049003Z [2022-11-23 01:21:30,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.5049313Z [2022-11-23 01:21:30,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.5049654Z [2022-11-23 01:21:30,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable()]
2022-11-23T01:32:37.5050040Z [2022-11-23 01:21:30,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5050383Z [2022-11-23 01:21:30,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable()]
2022-11-23T01:32:37.5050625Z [2022-11-23 01:21:30,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:37.5050889Z [2022-11-23 01:21:30,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3486
2022-11-23T01:32:37.5051094Z [2022-11-23 01:21:30,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5051330Z [2022-11-23 01:21:30,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a1 [TensorVariable()]
2022-11-23T01:32:37.5051597Z [2022-11-23 01:21:30,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5051856Z [2022-11-23 01:21:30,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.5052186Z [2022-11-23 01:21:30,852] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64375d0, file "inductor/test_torchinductor.py", line 3482>
2022-11-23T01:32:37.5052457Z [2022-11-23 01:21:30,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.5052692Z [2022-11-23 01:21:30,852] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5052943Z [2022-11-23 01:21:30,854] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5053236Z [2022-11-23 01:21:30,862] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:32:37.5053501Z [2022-11-23 01:21:30,862] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:32:37.5053744Z [2022-11-23 01:21:30,862] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5053930Z [2022-11-23 01:21:30,863] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5054052Z  __compiled_fn_197 <eval_with_key>.1243 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5054143Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5054229Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.5054312Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.5054452Z call_function, index_put_, aten.index_put_, (ex_0_, (None, ex_1_, None), ex_2_), {}
2022-11-23T01:32:37.5054620Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.5054794Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:37.5054965Z call_function, add_2, <built-in function add>, (ex_2_, 1), {}
2022-11-23T01:32:37.5055097Z call_function, index_put__1, aten.index_put_, (add, (None, add_1, None), add_2), {}
2022-11-23T01:32:37.5055191Z output, output, output, ((add,),), {}
2022-11-23T01:32:37.5055196Z 
2022-11-23T01:32:37.5055472Z [2022-11-23 01:21:30,863] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5055565Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5055656Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5055746Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5055836Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5055911Z               8 RETURN_VALUE
2022-11-23T01:32:37.5055917Z 
2022-11-23T01:32:37.5055964Z  
2022-11-23T01:32:37.5056240Z [2022-11-23 01:21:30,863] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5056344Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_197)
2022-11-23T01:32:37.5056435Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5056523Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5056598Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5056685Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5056760Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5056834Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.5056924Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5057013Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.5057086Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.5057174Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.5057276Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.5057350Z              24 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5057436Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5057541Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.5057642Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5057728Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5057802Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.5057889Z              36 BUILD_TUPLE              2
2022-11-23T01:32:37.5057951Z              38 RETURN_VALUE
2022-11-23T01:32:37.5057967Z 
2022-11-23T01:32:37.5058015Z  
2022-11-23T01:32:37.5058227Z [2022-11-23 01:21:30,865] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5058297Z  - 
2022-11-23T01:32:37.5058415Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5058479Z             {
2022-11-23T01:32:37.5058617Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5058802Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 3'],
2022-11-23T01:32:37.5058909Z                 'obj_weakref': None
2022-11-23T01:32:37.5059131Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5059197Z             }
2022-11-23T01:32:37.5059260Z             
2022-11-23T01:32:37.5059328Z  - 
2022-11-23T01:32:37.5059451Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5059502Z             {
2022-11-23T01:32:37.5059641Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5059745Z                 'code': None,
2022-11-23T01:32:37.5059957Z                 'obj_weakref': <weakref at 0x7f7106d5d230; to 'Tensor' at 0x7f7129e50230>
2022-11-23T01:32:37.5060207Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5060272Z             }
2022-11-23T01:32:37.5060337Z             
2022-11-23T01:32:37.5060407Z  - 
2022-11-23T01:32:37.5060517Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.5060582Z             {
2022-11-23T01:32:37.5060724Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5060832Z                 'code': None,
2022-11-23T01:32:37.5061039Z                 'obj_weakref': <weakref at 0x7f7106d5d2f0; to 'Tensor' at 0x7f7106d80050>
2022-11-23T01:32:37.5061284Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5061350Z             }
2022-11-23T01:32:37.5061400Z             
2022-11-23T01:32:37.5061469Z  - 
2022-11-23T01:32:37.5061590Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.5061655Z             {
2022-11-23T01:32:37.5061797Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5061904Z                 'code': None,
2022-11-23T01:32:37.5062113Z                 'obj_weakref': <weakref at 0x7f70f295d1d0; to 'Tensor' at 0x7f7106d80f50>
2022-11-23T01:32:37.5062345Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5062410Z             }
2022-11-23T01:32:37.5062474Z             
2022-11-23T01:32:37.5062546Z  - 
2022-11-23T01:32:37.5062677Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.5062742Z             {
2022-11-23T01:32:37.5062877Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5063034Z                 'code': ['___check_obj_id(model, 140125925187456)'],
2022-11-23T01:32:37.5063155Z                 'obj_weakref': None
2022-11-23T01:32:37.5063381Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.5063448Z             }
2022-11-23T01:32:37.5063512Z             
2022-11-23T01:32:37.5063583Z  - 
2022-11-23T01:32:37.5063705Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5063756Z             {
2022-11-23T01:32:37.5063892Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5064111Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5064232Z                 'obj_weakref': None
2022-11-23T01:32:37.5064535Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5064640Z             }
2022-11-23T01:32:37.5064703Z             
2022-11-23T01:32:37.5064765Z  - 
2022-11-23T01:32:37.5064899Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.5064963Z             {
2022-11-23T01:32:37.5065082Z                 'guard_types': None,
2022-11-23T01:32:37.5065191Z                 'code': None,
2022-11-23T01:32:37.5065309Z                 'obj_weakref': None
2022-11-23T01:32:37.5065445Z                 'guarded_class': None
2022-11-23T01:32:37.5065510Z             }
2022-11-23T01:32:37.5065572Z             
2022-11-23T01:32:37.5065640Z ok (0.072s)
2022-11-23T01:32:37.5065972Z   test_index_put_as_masked_fill_cpu (__main__.CpuTests) ... [2022-11-23 01:21:30,884] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5066244Z [2022-11-23 01:21:30,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5066464Z [2022-11-23 01:21:30,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5066716Z [2022-11-23 01:21:30,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.5066988Z [2022-11-23 01:21:30,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.5067312Z [2022-11-23 01:21:30,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5067636Z [2022-11-23 01:21:30,885] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64376f0, file "inductor/test_torchinductor.py", line 3498> 
2022-11-23T01:32:37.5067729Z  3499           0 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5067822Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:32:37.5067909Z                4 CALL_METHOD              0
2022-11-23T01:32:37.5068006Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:37.5068012Z 
2022-11-23T01:32:37.5068104Z 3500           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:37.5068193Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:32:37.5068272Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:32:37.5068372Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:32:37.5068461Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5068549Z               18 LOAD_FAST                1 (b)
2022-11-23T01:32:37.5068636Z               20 BUILD_LIST               1
2022-11-23T01:32:37.5068722Z               22 LOAD_FAST                2 (c)
2022-11-23T01:32:37.5068808Z               24 LOAD_FAST                3 (d)
2022-11-23T01:32:37.5068883Z               26 CALL_METHOD              4
2022-11-23T01:32:37.5068954Z               28 POP_TOP
2022-11-23T01:32:37.5068960Z 
2022-11-23T01:32:37.5069047Z 3501          30 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5069123Z               32 RETURN_VALUE
2022-11-23T01:32:37.5069183Z  
2022-11-23T01:32:37.5069188Z 
2022-11-23T01:32:37.5069453Z [2022-11-23 01:21:30,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3499
2022-11-23T01:32:37.5069662Z [2022-11-23 01:21:30,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5069904Z [2022-11-23 01:21:30,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:32:37.5070171Z [2022-11-23 01:21:30,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:32:37.5070406Z [2022-11-23 01:21:30,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:37.5070669Z [2022-11-23 01:21:30,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3500
2022-11-23T01:32:37.5070928Z [2022-11-23 01:21:30,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5071284Z [2022-11-23 01:21:30,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5071574Z [2022-11-23 01:21:30,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:37.5071915Z [2022-11-23 01:21:30,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5072171Z [2022-11-23 01:21:30,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:37.5072455Z [2022-11-23 01:21:30,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:37.5072769Z [2022-11-23 01:21:30,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5073082Z [2022-11-23 01:21:30,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.5073407Z [2022-11-23 01:21:30,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:37.5073791Z [2022-11-23 01:21:30,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.5074031Z [2022-11-23 01:21:30,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:37.5074294Z [2022-11-23 01:21:30,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3501
2022-11-23T01:32:37.5074502Z [2022-11-23 01:21:30,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5074745Z [2022-11-23 01:21:30,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5075071Z [2022-11-23 01:21:30,901] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64376f0, file "inductor/test_torchinductor.py", line 3498>
2022-11-23T01:32:37.5075318Z [2022-11-23 01:21:30,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5075551Z [2022-11-23 01:21:30,901] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5075805Z [2022-11-23 01:21:30,903] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5076037Z [2022-11-23 01:21:30,908] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5076227Z [2022-11-23 01:21:30,908] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5076361Z  __compiled_fn_198 <eval_with_key>.1249 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5076448Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5076535Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.5076617Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.5076710Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:32:37.5076837Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, False), {}
2022-11-23T01:32:37.5076932Z output, output, output, ((clone,),), {}
2022-11-23T01:32:37.5076937Z 
2022-11-23T01:32:37.5077342Z [2022-11-23 01:21:30,909] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5077437Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5077526Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5077620Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5077761Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5077838Z               8 RETURN_VALUE
2022-11-23T01:32:37.5077843Z 
2022-11-23T01:32:37.5077890Z  
2022-11-23T01:32:37.5078169Z [2022-11-23 01:21:30,909] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5078276Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_198)
2022-11-23T01:32:37.5078400Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5078492Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5078570Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5078657Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5078745Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5078807Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.5078896Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5078981Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.5079057Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.5079144Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.5079235Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.5079309Z              24 RETURN_VALUE
2022-11-23T01:32:37.5079314Z 
2022-11-23T01:32:37.5079361Z  
2022-11-23T01:32:37.5079547Z [2022-11-23 01:21:30,911] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5079615Z  - 
2022-11-23T01:32:37.5079734Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5079797Z             {
2022-11-23T01:32:37.5079938Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5080123Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 4'],
2022-11-23T01:32:37.5080230Z                 'obj_weakref': None
2022-11-23T01:32:37.5080450Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5080514Z             }
2022-11-23T01:32:37.5080576Z             
2022-11-23T01:32:37.5080647Z  - 
2022-11-23T01:32:37.5080769Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5080831Z             {
2022-11-23T01:32:37.5080959Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5081063Z                 'code': None,
2022-11-23T01:32:37.5081267Z                 'obj_weakref': <weakref at 0x7f7106745650; to 'Tensor' at 0x7f70f28d1f50>
2022-11-23T01:32:37.5081515Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5081579Z             }
2022-11-23T01:32:37.5081641Z             
2022-11-23T01:32:37.5081708Z  - 
2022-11-23T01:32:37.5081817Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.5081878Z             {
2022-11-23T01:32:37.5082016Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5082121Z                 'code': None,
2022-11-23T01:32:37.5082325Z                 'obj_weakref': <weakref at 0x7f70f295d6b0; to 'Tensor' at 0x7f70f2933a10>
2022-11-23T01:32:37.5082568Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5082632Z             }
2022-11-23T01:32:37.5082682Z             
2022-11-23T01:32:37.5082748Z  - 
2022-11-23T01:32:37.5082869Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.5082931Z             {
2022-11-23T01:32:37.5083067Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5083174Z                 'code': None,
2022-11-23T01:32:37.5083377Z                 'obj_weakref': <weakref at 0x7f710637edd0; to 'Tensor' at 0x7f70f2933bf0>
2022-11-23T01:32:37.5083605Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5083666Z             }
2022-11-23T01:32:37.5083727Z             
2022-11-23T01:32:37.5083794Z  - 
2022-11-23T01:32:37.5083921Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T01:32:37.5083983Z             {
2022-11-23T01:32:37.5084144Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5084295Z                 'code': ['___check_obj_id(ex[3], 94279403954912)'],
2022-11-23T01:32:37.5084412Z                 'obj_weakref': None
2022-11-23T01:32:37.5084631Z                 'guarded_class': <weakref at 0x7f71f667d230; to 'type' at 0x55bf2261e140 (bool)>
2022-11-23T01:32:37.5084693Z             }
2022-11-23T01:32:37.5084755Z             
2022-11-23T01:32:37.5084823Z  - 
2022-11-23T01:32:37.5084979Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.5085029Z             {
2022-11-23T01:32:37.5085161Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5085327Z                 'code': ['___check_obj_id(model, 140123421344832)'],
2022-11-23T01:32:37.5085443Z                 'obj_weakref': None
2022-11-23T01:32:37.5085667Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.5085730Z             }
2022-11-23T01:32:37.5085792Z             
2022-11-23T01:32:37.5085849Z  - 
2022-11-23T01:32:37.5085968Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5086031Z             {
2022-11-23T01:32:37.5086164Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5086376Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5086492Z                 'obj_weakref': None
2022-11-23T01:32:37.5086710Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5086760Z             }
2022-11-23T01:32:37.5086827Z             
2022-11-23T01:32:37.5086894Z  - 
2022-11-23T01:32:37.5087026Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.5087089Z             {
2022-11-23T01:32:37.5087208Z                 'guard_types': None,
2022-11-23T01:32:37.5087362Z                 'code': None,
2022-11-23T01:32:37.5087466Z                 'obj_weakref': None
2022-11-23T01:32:37.5087584Z                 'guarded_class': None
2022-11-23T01:32:37.5087647Z             }
2022-11-23T01:32:37.5087709Z             
2022-11-23T01:32:37.5087967Z [2022-11-23 01:21:30,921] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 196
2022-11-23T01:32:37.5088340Z [2022-11-23 01:21:33,449] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ot/cotedn4fb2ibjizcsuqnxbhgt372cnqpjpwd33mzhkhsydx2zsax.py
2022-11-23T01:32:37.5088604Z [2022-11-23 01:21:33,449] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 196
2022-11-23T01:32:37.5088827Z [2022-11-23 01:21:33,473] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5089090Z [2022-11-23 01:21:33,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5089305Z [2022-11-23 01:21:33,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5089556Z [2022-11-23 01:21:33,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.5089841Z [2022-11-23 01:21:33,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.5090163Z [2022-11-23 01:21:33,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5090487Z [2022-11-23 01:21:33,474] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64376f0, file "inductor/test_torchinductor.py", line 3498> 
2022-11-23T01:32:37.5090579Z  3499           0 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5090674Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:32:37.5090750Z                4 CALL_METHOD              0
2022-11-23T01:32:37.5090841Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:37.5090846Z 
2022-11-23T01:32:37.5090937Z 3500           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:37.5091057Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:32:37.5091147Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:32:37.5091248Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:32:37.5091338Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5091425Z               18 LOAD_FAST                1 (b)
2022-11-23T01:32:37.5091499Z               20 BUILD_LIST               1
2022-11-23T01:32:37.5091614Z               22 LOAD_FAST                2 (c)
2022-11-23T01:32:37.5091701Z               24 LOAD_FAST                3 (d)
2022-11-23T01:32:37.5091790Z               26 CALL_METHOD              4
2022-11-23T01:32:37.5091861Z               28 POP_TOP
2022-11-23T01:32:37.5091866Z 
2022-11-23T01:32:37.5091950Z 3501          30 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5092024Z               32 RETURN_VALUE
2022-11-23T01:32:37.5092071Z  
2022-11-23T01:32:37.5092075Z 
2022-11-23T01:32:37.5092344Z [2022-11-23 01:21:33,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3499
2022-11-23T01:32:37.5092553Z [2022-11-23 01:21:33,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5092794Z [2022-11-23 01:21:33,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:32:37.5093076Z [2022-11-23 01:21:33,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:32:37.5093312Z [2022-11-23 01:21:33,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:37.5093575Z [2022-11-23 01:21:33,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3500
2022-11-23T01:32:37.5093791Z [2022-11-23 01:21:33,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5094152Z [2022-11-23 01:21:33,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5094444Z [2022-11-23 01:21:33,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:37.5094743Z [2022-11-23 01:21:33,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5095001Z [2022-11-23 01:21:33,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:37.5095284Z [2022-11-23 01:21:33,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:37.5095597Z [2022-11-23 01:21:33,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5095904Z [2022-11-23 01:21:33,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.5096239Z [2022-11-23 01:21:33,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:37.5096619Z [2022-11-23 01:21:33,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.5096859Z [2022-11-23 01:21:33,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:37.5097122Z [2022-11-23 01:21:33,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3501
2022-11-23T01:32:37.5097327Z [2022-11-23 01:21:33,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5097560Z [2022-11-23 01:21:33,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5097915Z [2022-11-23 01:21:33,497] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64376f0, file "inductor/test_torchinductor.py", line 3498>
2022-11-23T01:32:37.5098159Z [2022-11-23 01:21:33,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5098416Z [2022-11-23 01:21:33,497] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5098671Z [2022-11-23 01:21:33,499] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5098916Z [2022-11-23 01:21:33,509] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5099102Z [2022-11-23 01:21:33,510] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5099235Z  __compiled_fn_199 <eval_with_key>.1255 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5099325Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5099398Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.5099482Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.5099573Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:32:37.5099709Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, True), {}
2022-11-23T01:32:37.5099804Z output, output, output, ((clone,),), {}
2022-11-23T01:32:37.5099809Z 
2022-11-23T01:32:37.5100085Z [2022-11-23 01:21:33,510] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5100178Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5100269Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5100349Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5100437Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5100511Z               8 RETURN_VALUE
2022-11-23T01:32:37.5100516Z 
2022-11-23T01:32:37.5100578Z  
2022-11-23T01:32:37.5100855Z [2022-11-23 01:21:33,511] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5100963Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_199)
2022-11-23T01:32:37.5101051Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5101129Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5101204Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5101294Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5101380Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5101454Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.5101538Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5101622Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.5101683Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.5101770Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.5101858Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.5101932Z              24 RETURN_VALUE
2022-11-23T01:32:37.5101938Z 
2022-11-23T01:32:37.5101997Z  
2022-11-23T01:32:37.5102179Z [2022-11-23 01:21:33,513] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5102248Z  - 
2022-11-23T01:32:37.5102365Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5102416Z             {
2022-11-23T01:32:37.5102554Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5102740Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 4'],
2022-11-23T01:32:37.5102856Z                 'obj_weakref': None
2022-11-23T01:32:37.5103078Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5103143Z             }
2022-11-23T01:32:37.5103208Z             
2022-11-23T01:32:37.5103266Z  - 
2022-11-23T01:32:37.5103388Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5103456Z             {
2022-11-23T01:32:37.5103598Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5103774Z                 'code': None,
2022-11-23T01:32:37.5103985Z                 'obj_weakref': <weakref at 0x7f7106d27f50; to 'Tensor' at 0x7f70f28d1f50>
2022-11-23T01:32:37.5104235Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5104286Z             }
2022-11-23T01:32:37.5104350Z             
2022-11-23T01:32:37.5104420Z  - 
2022-11-23T01:32:37.5104674Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.5104738Z             {
2022-11-23T01:32:37.5104879Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5104986Z                 'code': None,
2022-11-23T01:32:37.5105179Z                 'obj_weakref': <weakref at 0x7f7106d275f0; to 'Tensor' at 0x7f70f295dc50>
2022-11-23T01:32:37.5105425Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5105491Z             }
2022-11-23T01:32:37.5105556Z             
2022-11-23T01:32:37.5105626Z  - 
2022-11-23T01:32:37.5105748Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.5105811Z             {
2022-11-23T01:32:37.5105938Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5106044Z                 'code': None,
2022-11-23T01:32:37.5106247Z                 'obj_weakref': <weakref at 0x7f7106d27c50; to 'Tensor' at 0x7f70f295d770>
2022-11-23T01:32:37.5106491Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5106556Z             }
2022-11-23T01:32:37.5106619Z             
2022-11-23T01:32:37.5106689Z  - 
2022-11-23T01:32:37.5106807Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T01:32:37.5106870Z             {
2022-11-23T01:32:37.5107004Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5107172Z                 'code': ['___check_obj_id(ex[3], 94279403954944)'],
2022-11-23T01:32:37.5107290Z                 'obj_weakref': None
2022-11-23T01:32:37.5107512Z                 'guarded_class': <weakref at 0x7f71f667d230; to 'type' at 0x55bf2261e140 (bool)>
2022-11-23T01:32:37.5107575Z             }
2022-11-23T01:32:37.5107624Z             
2022-11-23T01:32:37.5107694Z  - 
2022-11-23T01:32:37.5107824Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.5107889Z             {
2022-11-23T01:32:37.5108022Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5108193Z                 'code': ['___check_obj_id(model, 140123421344832)'],
2022-11-23T01:32:37.5108311Z                 'obj_weakref': None
2022-11-23T01:32:37.5108526Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.5108591Z             }
2022-11-23T01:32:37.5108654Z             
2022-11-23T01:32:37.5108725Z  - 
2022-11-23T01:32:37.5108845Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5108906Z             {
2022-11-23T01:32:37.5109027Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5109242Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5109362Z                 'obj_weakref': None
2022-11-23T01:32:37.5109580Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5109646Z             }
2022-11-23T01:32:37.5109708Z             
2022-11-23T01:32:37.5109774Z  - 
2022-11-23T01:32:37.5109896Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.5109957Z             {
2022-11-23T01:32:37.5110074Z                 'guard_types': None,
2022-11-23T01:32:37.5110179Z                 'code': None,
2022-11-23T01:32:37.5110294Z                 'obj_weakref': None
2022-11-23T01:32:37.5110413Z                 'guarded_class': None
2022-11-23T01:32:37.5110474Z             }
2022-11-23T01:32:37.5110523Z             
2022-11-23T01:32:37.5110783Z [2022-11-23 01:21:33,526] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 197
2022-11-23T01:32:37.5111181Z [2022-11-23 01:21:36,108] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cg/ccg7ocpwvri4qpxcmbxt4tfyhxp4crg5s7dy2ru4bkvjng2ggxv7.py
2022-11-23T01:32:37.5111441Z [2022-11-23 01:21:36,108] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 197
2022-11-23T01:32:37.5111447Z 
2022-11-23T01:32:37.5111538Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5111635Z import torch
2022-11-23T01:32:37.5111703Z import random
2022-11-23T01:32:37.5111816Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5111923Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5111939Z 
2022-11-23T01:32:37.5112003Z aten = torch.ops.aten
2022-11-23T01:32:37.5112134Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5112224Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5112229Z 
2022-11-23T01:32:37.5112234Z 
2022-11-23T01:32:37.5112368Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5112572Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5112689Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T01:32:37.5112792Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.5112883Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.5112982Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.5113041Z {
2022-11-23T01:32:37.5113137Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5113199Z     {
2022-11-23T01:32:37.5113277Z         #pragma omp for 
2022-11-23T01:32:37.5113361Z         for(long i0=0; i0<512; i0+=1)
2022-11-23T01:32:37.5113411Z         {
2022-11-23T01:32:37.5113514Z             float g_tmp_buffer_in_ptr0[16] = {0};
2022-11-23T01:32:37.5113636Z             flag_to_float(in_ptr0 + 16*i0, g_tmp_buffer_in_ptr0, 16);
2022-11-23T01:32:37.5113791Z             auto tmp0 = at::vec::Vectorized<float>::loadu(g_tmp_buffer_in_ptr0);
2022-11-23T01:32:37.5113912Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T01:32:37.5114043Z             auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr2 + 16*i0);
2022-11-23T01:32:37.5114165Z             auto tmp3 = decltype(tmp1)::blendv(tmp2, tmp1, tmp0);
2022-11-23T01:32:37.5114255Z             tmp3.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.5114306Z         }
2022-11-23T01:32:37.5114401Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.5114486Z         for(long i0=8192; i0<8192; i0+=1)
2022-11-23T01:32:37.5114548Z         {
2022-11-23T01:32:37.5114632Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.5114712Z             auto tmp1 = in_ptr1[0];
2022-11-23T01:32:37.5114793Z             auto tmp2 = in_ptr2[i0];
2022-11-23T01:32:37.5114874Z             auto tmp3 = tmp0 ? tmp1 : tmp2;
2022-11-23T01:32:37.5114953Z             out_ptr0[i0] = tmp3;
2022-11-23T01:32:37.5115016Z         }
2022-11-23T01:32:37.5115077Z     }
2022-11-23T01:32:37.5115136Z }
2022-11-23T01:32:37.5115213Z ''')
2022-11-23T01:32:37.5115219Z 
2022-11-23T01:32:37.5115223Z 
2022-11-23T01:32:37.5115311Z async_compile.wait(globals())
2022-11-23T01:32:37.5115370Z del async_compile
2022-11-23T01:32:37.5115374Z 
2022-11-23T01:32:37.5115442Z def call(args):
2022-11-23T01:32:37.5115524Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.5115594Z     args.clear()
2022-11-23T01:32:37.5115802Z     buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5115992Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.5116058Z     del arg0_1
2022-11-23T01:32:37.5116112Z     del arg1_1
2022-11-23T01:32:37.5116177Z     del arg2_1
2022-11-23T01:32:37.5116247Z     return (buf0, )
2022-11-23T01:32:37.5116252Z 
2022-11-23T01:32:37.5116256Z 
2022-11-23T01:32:37.5116331Z if __name__ == "__main__":
2022-11-23T01:32:37.5116490Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5116611Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5116816Z     arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5117016Z     arg1_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.5117292Z     arg2_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5117467Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.5117473Z 
2022-11-23T01:32:37.5117477Z 
2022-11-23T01:32:37.5117572Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5117642Z import torch
2022-11-23T01:32:37.5117713Z import random
2022-11-23T01:32:37.5117828Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5117950Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5117954Z 
2022-11-23T01:32:37.5118032Z aten = torch.ops.aten
2022-11-23T01:32:37.5118154Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5118244Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5118250Z 
2022-11-23T01:32:37.5118255Z 
2022-11-23T01:32:37.5118388Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5118594Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5118711Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T01:32:37.5118818Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.5118918Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.5119017Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.5119066Z {
2022-11-23T01:32:37.5119164Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5119225Z     {
2022-11-23T01:32:37.5119301Z         #pragma omp for 
2022-11-23T01:32:37.5119385Z         for(long i0=0; i0<512; i0+=1)
2022-11-23T01:32:37.5119450Z         {
2022-11-23T01:32:37.5119552Z             float g_tmp_buffer_in_ptr0[16] = {0};
2022-11-23T01:32:37.5119661Z             flag_to_float(in_ptr0 + 16*i0, g_tmp_buffer_in_ptr0, 16);
2022-11-23T01:32:37.5119801Z             auto tmp0 = at::vec::Vectorized<float>::loadu(g_tmp_buffer_in_ptr0);
2022-11-23T01:32:37.5119932Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:37.5120052Z             auto tmp2 = at::vec::Vectorized<float>(in_ptr2[0]);
2022-11-23T01:32:37.5120138Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:37.5120259Z             auto tmp4 = decltype(tmp3)::blendv(tmp1, tmp3, tmp0);
2022-11-23T01:32:37.5120354Z             tmp4.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.5120417Z         }
2022-11-23T01:32:37.5120500Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.5120583Z         for(long i0=8192; i0<8192; i0+=1)
2022-11-23T01:32:37.5120645Z         {
2022-11-23T01:32:37.5120729Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.5120814Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:37.5120896Z             auto tmp2 = in_ptr2[0];
2022-11-23T01:32:37.5120977Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:37.5121058Z             auto tmp4 = tmp0 ? tmp3 : tmp1;
2022-11-23T01:32:37.5121138Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:37.5121199Z         }
2022-11-23T01:32:37.5121260Z     }
2022-11-23T01:32:37.5121319Z }
2022-11-23T01:32:37.5121397Z ''')
2022-11-23T01:32:37.5121404Z 
2022-11-23T01:32:37.5121408Z 
2022-11-23T01:32:37.5121496Z async_compile.wait(globals())
2022-11-23T01:32:37.5121555Z del async_compile
2022-11-23T01:32:37.5121560Z 
2022-11-23T01:32:37.5121630Z def call(args):
2022-11-23T01:32:37.5121710Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.5121780Z     args.clear()
2022-11-23T01:32:37.5121985Z     buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5122174Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.5122292Z     del arg0_1
2022-11-23T01:32:37.5122346Z     del arg1_1
2022-11-23T01:32:37.5122411Z     del arg2_1
2022-11-23T01:32:37.5122483Z     return (buf0, )
2022-11-23T01:32:37.5122488Z 
2022-11-23T01:32:37.5122492Z 
2022-11-23T01:32:37.5122566Z if __name__ == "__main__":
2022-11-23T01:32:37.5122679Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5122831Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5123037Z     arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5123236Z     arg1_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.5123406Z     arg2_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5123526Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.5123532Z 
2022-11-23T01:32:37.5123598Z ok (5.244s)
2022-11-23T01:32:37.5123926Z   test_index_put_fallback1_cpu (__main__.CpuTests) ... [2022-11-23 01:21:36,132] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5124196Z [2022-11-23 01:21:36,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5124409Z [2022-11-23 01:21:36,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5124661Z [2022-11-23 01:21:36,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.5124945Z [2022-11-23 01:21:36,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.5125264Z [2022-11-23 01:21:36,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5125575Z [2022-11-23 01:21:36,133] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6437810, file "inductor/test_torchinductor.py", line 3524> 
2022-11-23T01:32:37.5125669Z  3525           0 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5125763Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:32:37.5125850Z                4 CALL_METHOD              0
2022-11-23T01:32:37.5125940Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:37.5125945Z 
2022-11-23T01:32:37.5126040Z 3526           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:37.5126129Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:32:37.5126219Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:32:37.5126307Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:32:37.5126395Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5126482Z               18 LOAD_FAST                1 (b)
2022-11-23T01:32:37.5126567Z               20 BUILD_LIST               1
2022-11-23T01:32:37.5126656Z               22 LOAD_FAST                2 (c)
2022-11-23T01:32:37.5126741Z               24 LOAD_FAST                3 (d)
2022-11-23T01:32:37.5126827Z               26 CALL_METHOD              4
2022-11-23T01:32:37.5126887Z               28 POP_TOP
2022-11-23T01:32:37.5126892Z 
2022-11-23T01:32:37.5126975Z 3527          30 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5127050Z               32 RETURN_VALUE
2022-11-23T01:32:37.5127109Z  
2022-11-23T01:32:37.5127114Z 
2022-11-23T01:32:37.5127382Z [2022-11-23 01:21:36,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3525
2022-11-23T01:32:37.5127592Z [2022-11-23 01:21:36,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5127833Z [2022-11-23 01:21:36,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:32:37.5128112Z [2022-11-23 01:21:36,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:32:37.5128380Z [2022-11-23 01:21:36,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:37.5128631Z [2022-11-23 01:21:36,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3526
2022-11-23T01:32:37.5128849Z [2022-11-23 01:21:36,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5129238Z [2022-11-23 01:21:36,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5129530Z [2022-11-23 01:21:36,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:37.5129841Z [2022-11-23 01:21:36,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5130103Z [2022-11-23 01:21:36,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:37.5130390Z [2022-11-23 01:21:36,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:37.5130703Z [2022-11-23 01:21:36,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5131012Z [2022-11-23 01:21:36,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.5131348Z [2022-11-23 01:21:36,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:37.5131727Z [2022-11-23 01:21:36,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.5131957Z [2022-11-23 01:21:36,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:37.5132225Z [2022-11-23 01:21:36,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3527
2022-11-23T01:32:37.5132431Z [2022-11-23 01:21:36,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5132677Z [2022-11-23 01:21:36,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5133002Z [2022-11-23 01:21:36,156] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6437810, file "inductor/test_torchinductor.py", line 3524>
2022-11-23T01:32:37.5133243Z [2022-11-23 01:21:36,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5133474Z [2022-11-23 01:21:36,156] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5133728Z [2022-11-23 01:21:36,158] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5133974Z [2022-11-23 01:21:36,168] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5134148Z [2022-11-23 01:21:36,168] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5134281Z  __compiled_fn_200 <eval_with_key>.1261 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5134372Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5134456Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.5134539Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.5134633Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:32:37.5134772Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, False), {}
2022-11-23T01:32:37.5134855Z output, output, output, ((clone,),), {}
2022-11-23T01:32:37.5134872Z 
2022-11-23T01:32:37.5135134Z [2022-11-23 01:21:36,169] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5135259Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5135349Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5135440Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5135529Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5135603Z               8 RETURN_VALUE
2022-11-23T01:32:37.5135609Z 
2022-11-23T01:32:37.5135698Z  
2022-11-23T01:32:37.5135965Z [2022-11-23 01:21:36,169] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5136071Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_200)
2022-11-23T01:32:37.5136159Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5136246Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5136323Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5136410Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5136500Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5136575Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.5136650Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5136734Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.5136808Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.5136897Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.5136990Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.5137064Z              24 RETURN_VALUE
2022-11-23T01:32:37.5137069Z 
2022-11-23T01:32:37.5137131Z  
2022-11-23T01:32:37.5137299Z [2022-11-23 01:21:36,172] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5137368Z  - 
2022-11-23T01:32:37.5137484Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5137546Z             {
2022-11-23T01:32:37.5137686Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5137870Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 4'],
2022-11-23T01:32:37.5137990Z                 'obj_weakref': None
2022-11-23T01:32:37.5138199Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5138262Z             }
2022-11-23T01:32:37.5138326Z             
2022-11-23T01:32:37.5138393Z  - 
2022-11-23T01:32:37.5138515Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5138578Z             {
2022-11-23T01:32:37.5138721Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5138814Z                 'code': None,
2022-11-23T01:32:37.5139023Z                 'obj_weakref': <weakref at 0x7f71064ed770; to 'Tensor' at 0x7f7106737a70>
2022-11-23T01:32:37.5139270Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5139333Z             }
2022-11-23T01:32:37.5139397Z             
2022-11-23T01:32:37.5139464Z  - 
2022-11-23T01:32:37.5139587Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.5139638Z             {
2022-11-23T01:32:37.5139777Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5139881Z                 'code': None,
2022-11-23T01:32:37.5140083Z                 'obj_weakref': <weakref at 0x7f7106d09e90; to 'Tensor' at 0x7f71064ed350>
2022-11-23T01:32:37.5140326Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5140392Z             }
2022-11-23T01:32:37.5140454Z             
2022-11-23T01:32:37.5140509Z  - 
2022-11-23T01:32:37.5140631Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.5140694Z             {
2022-11-23T01:32:37.5140835Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5140943Z                 'code': None,
2022-11-23T01:32:37.5141144Z                 'obj_weakref': <weakref at 0x7f71066eb4d0; to 'Tensor' at 0x7f71064edbf0>
2022-11-23T01:32:37.5141389Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5141469Z             }
2022-11-23T01:32:37.5141533Z             
2022-11-23T01:32:37.5141602Z  - 
2022-11-23T01:32:37.5141733Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T01:32:37.5141798Z             {
2022-11-23T01:32:37.5141931Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5142097Z                 'code': ['___check_obj_id(ex[3], 94279403954912)'],
2022-11-23T01:32:37.5142230Z                 'obj_weakref': None
2022-11-23T01:32:37.5142454Z                 'guarded_class': <weakref at 0x7f71f667d230; to 'type' at 0x55bf2261e140 (bool)>
2022-11-23T01:32:37.5142519Z             }
2022-11-23T01:32:37.5142585Z             
2022-11-23T01:32:37.5142655Z  - 
2022-11-23T01:32:37.5142786Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.5142850Z             {
2022-11-23T01:32:37.5142969Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5143137Z                 'code': ['___check_obj_id(model, 140123523634096)'],
2022-11-23T01:32:37.5143259Z                 'obj_weakref': None
2022-11-23T01:32:37.5143488Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.5143553Z             }
2022-11-23T01:32:37.5143616Z             
2022-11-23T01:32:37.5143687Z  - 
2022-11-23T01:32:37.5143795Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5143858Z             {
2022-11-23T01:32:37.5143997Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5144213Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5144331Z                 'obj_weakref': None
2022-11-23T01:32:37.5144629Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5144694Z             }
2022-11-23T01:32:37.5144744Z             
2022-11-23T01:32:37.5144816Z  - 
2022-11-23T01:32:37.5144954Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.5145018Z             {
2022-11-23T01:32:37.5145137Z                 'guard_types': None,
2022-11-23T01:32:37.5145243Z                 'code': None,
2022-11-23T01:32:37.5145360Z                 'obj_weakref': None
2022-11-23T01:32:37.5145467Z                 'guarded_class': None
2022-11-23T01:32:37.5145530Z             }
2022-11-23T01:32:37.5145594Z             
2022-11-23T01:32:37.5145857Z [2022-11-23 01:21:36,186] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 198
2022-11-23T01:32:37.5146239Z [2022-11-23 01:21:38,718] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pj/cpjlmlm3xpt3sqnzhwajyrns5npln4kctkqmbidlrvchyu56l6io.py
2022-11-23T01:32:37.5146504Z [2022-11-23 01:21:38,719] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 198
2022-11-23T01:32:37.5146741Z [2022-11-23 01:21:38,730] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5147011Z [2022-11-23 01:21:38,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5147215Z [2022-11-23 01:21:38,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5147464Z [2022-11-23 01:21:38,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.5147751Z [2022-11-23 01:21:38,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.5148073Z [2022-11-23 01:21:38,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5148393Z [2022-11-23 01:21:38,731] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6437810, file "inductor/test_torchinductor.py", line 3524> 
2022-11-23T01:32:37.5148486Z  3525           0 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5148616Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:32:37.5148705Z                4 CALL_METHOD              0
2022-11-23T01:32:37.5148784Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:37.5148801Z 
2022-11-23T01:32:37.5148881Z 3526           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:37.5148970Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:32:37.5149059Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:32:37.5149189Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:32:37.5149278Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5149364Z               18 LOAD_FAST                1 (b)
2022-11-23T01:32:37.5149449Z               20 BUILD_LIST               1
2022-11-23T01:32:37.5149524Z               22 LOAD_FAST                2 (c)
2022-11-23T01:32:37.5149611Z               24 LOAD_FAST                3 (d)
2022-11-23T01:32:37.5149700Z               26 CALL_METHOD              4
2022-11-23T01:32:37.5149774Z               28 POP_TOP
2022-11-23T01:32:37.5149780Z 
2022-11-23T01:32:37.5149867Z 3527          30 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5149942Z               32 RETURN_VALUE
2022-11-23T01:32:37.5150003Z  
2022-11-23T01:32:37.5150008Z 
2022-11-23T01:32:37.5150281Z [2022-11-23 01:21:38,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3525
2022-11-23T01:32:37.5150480Z [2022-11-23 01:21:38,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5150721Z [2022-11-23 01:21:38,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:32:37.5151002Z [2022-11-23 01:21:38,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:32:37.5151236Z [2022-11-23 01:21:38,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:37.5151499Z [2022-11-23 01:21:38,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3526
2022-11-23T01:32:37.5151716Z [2022-11-23 01:21:38,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5152076Z [2022-11-23 01:21:38,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5152369Z [2022-11-23 01:21:38,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:37.5152680Z [2022-11-23 01:21:38,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5152923Z [2022-11-23 01:21:38,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:37.5153207Z [2022-11-23 01:21:38,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:37.5153521Z [2022-11-23 01:21:38,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5153829Z [2022-11-23 01:21:38,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.5154166Z [2022-11-23 01:21:38,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:37.5154546Z [2022-11-23 01:21:38,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.5154785Z [2022-11-23 01:21:38,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:37.5155079Z [2022-11-23 01:21:38,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3527
2022-11-23T01:32:37.5155288Z [2022-11-23 01:21:38,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5155532Z [2022-11-23 01:21:38,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5155883Z [2022-11-23 01:21:38,749] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6437810, file "inductor/test_torchinductor.py", line 3524>
2022-11-23T01:32:37.5156118Z [2022-11-23 01:21:38,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5156351Z [2022-11-23 01:21:38,749] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5156602Z [2022-11-23 01:21:38,751] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5156848Z [2022-11-23 01:21:38,758] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5157035Z [2022-11-23 01:21:38,758] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5157287Z  __compiled_fn_201 <eval_with_key>.1267 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5157379Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5157467Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.5157540Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.5157638Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:32:37.5157775Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, True), {}
2022-11-23T01:32:37.5157873Z output, output, output, ((clone,),), {}
2022-11-23T01:32:37.5157879Z 
2022-11-23T01:32:37.5158161Z [2022-11-23 01:21:38,758] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5158255Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5158348Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5158442Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5158520Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5158597Z               8 RETURN_VALUE
2022-11-23T01:32:37.5158602Z 
2022-11-23T01:32:37.5158666Z  
2022-11-23T01:32:37.5158942Z [2022-11-23 01:21:38,759] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5159053Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_201)
2022-11-23T01:32:37.5159143Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5159234Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5159297Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5159388Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5159473Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5159549Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.5159638Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5159722Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.5159799Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.5159886Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.5159963Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.5160037Z              24 RETURN_VALUE
2022-11-23T01:32:37.5160042Z 
2022-11-23T01:32:37.5160102Z  
2022-11-23T01:32:37.5160283Z [2022-11-23 01:21:38,760] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5160352Z  - 
2022-11-23T01:32:37.5160469Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5160532Z             {
2022-11-23T01:32:37.5160658Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5160842Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 4'],
2022-11-23T01:32:37.5160960Z                 'obj_weakref': None
2022-11-23T01:32:37.5161184Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5161316Z             }
2022-11-23T01:32:37.5161380Z             
2022-11-23T01:32:37.5161449Z  - 
2022-11-23T01:32:37.5161560Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5161625Z             {
2022-11-23T01:32:37.5161767Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5161874Z                 'code': None,
2022-11-23T01:32:37.5162124Z                 'obj_weakref': <weakref at 0x7f70f2d6ee30; to 'Tensor' at 0x7f7106737a70>
2022-11-23T01:32:37.5162376Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5162442Z             }
2022-11-23T01:32:37.5162493Z             
2022-11-23T01:32:37.5162565Z  - 
2022-11-23T01:32:37.5162687Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.5162751Z             {
2022-11-23T01:32:37.5162890Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5162998Z                 'code': None,
2022-11-23T01:32:37.5163203Z                 'obj_weakref': <weakref at 0x7f71066eb6b0; to 'Tensor' at 0x7f7106d09170>
2022-11-23T01:32:37.5163435Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5163496Z             }
2022-11-23T01:32:37.5163557Z             
2022-11-23T01:32:37.5163624Z  - 
2022-11-23T01:32:37.5163744Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.5163809Z             {
2022-11-23T01:32:37.5163948Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5164041Z                 'code': None,
2022-11-23T01:32:37.5164246Z                 'obj_weakref': <weakref at 0x7f7129e50a10; to 'Tensor' at 0x7f70f2d6ecb0>
2022-11-23T01:32:37.5164485Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5164550Z             }
2022-11-23T01:32:37.5164613Z             
2022-11-23T01:32:37.5164684Z  - 
2022-11-23T01:32:37.5164813Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T01:32:37.5164863Z             {
2022-11-23T01:32:37.5164997Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5165160Z                 'code': ['___check_obj_id(ex[3], 94279403954944)'],
2022-11-23T01:32:37.5165277Z                 'obj_weakref': None
2022-11-23T01:32:37.5165493Z                 'guarded_class': <weakref at 0x7f71f667d230; to 'type' at 0x55bf2261e140 (bool)>
2022-11-23T01:32:37.5165557Z             }
2022-11-23T01:32:37.5165619Z             
2022-11-23T01:32:37.5165674Z  - 
2022-11-23T01:32:37.5165802Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.5165864Z             {
2022-11-23T01:32:37.5165995Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5166161Z                 'code': ['___check_obj_id(model, 140123523634096)'],
2022-11-23T01:32:37.5166277Z                 'obj_weakref': None
2022-11-23T01:32:37.5166503Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.5166554Z             }
2022-11-23T01:32:37.5166617Z             
2022-11-23T01:32:37.5166685Z  - 
2022-11-23T01:32:37.5166804Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5166866Z             {
2022-11-23T01:32:37.5167001Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5167214Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5167321Z                 'obj_weakref': None
2022-11-23T01:32:37.5167535Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5167597Z             }
2022-11-23T01:32:37.5167659Z             
2022-11-23T01:32:37.5167725Z  - 
2022-11-23T01:32:37.5167856Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.5167919Z             {
2022-11-23T01:32:37.5168025Z                 'guard_types': None,
2022-11-23T01:32:37.5168128Z                 'code': None,
2022-11-23T01:32:37.5168274Z                 'obj_weakref': None
2022-11-23T01:32:37.5168393Z                 'guarded_class': None
2022-11-23T01:32:37.5168455Z             }
2022-11-23T01:32:37.5168516Z             
2022-11-23T01:32:37.5168765Z [2022-11-23 01:21:38,771] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 199
2022-11-23T01:32:37.5169162Z [2022-11-23 01:21:38,781] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ha/chaa7sbv67ccoxbg5jmfujdd7ebo2blwagj3ldwunpbxi7xyikm6.py
2022-11-23T01:32:37.5169425Z [2022-11-23 01:21:38,782] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 199
2022-11-23T01:32:37.5169431Z 
2022-11-23T01:32:37.5169523Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5169591Z import torch
2022-11-23T01:32:37.5169659Z import random
2022-11-23T01:32:37.5169773Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5169894Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5169901Z 
2022-11-23T01:32:37.5169978Z aten = torch.ops.aten
2022-11-23T01:32:37.5170099Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5170189Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5170194Z 
2022-11-23T01:32:37.5170199Z 
2022-11-23T01:32:37.5170330Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5170534Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5170655Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.5170753Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.5170813Z {
2022-11-23T01:32:37.5170877Z     #pragma GCC ivdep
2022-11-23T01:32:37.5170954Z     for(long i0=0; i0<3; i0+=1)
2022-11-23T01:32:37.5171014Z     {
2022-11-23T01:32:37.5171077Z         {
2022-11-23T01:32:37.5171139Z             {
2022-11-23T01:32:37.5171226Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.5171308Z                 out_ptr0[i0] = tmp0;
2022-11-23T01:32:37.5171358Z             }
2022-11-23T01:32:37.5171420Z         }
2022-11-23T01:32:37.5171480Z     }
2022-11-23T01:32:37.5171538Z }
2022-11-23T01:32:37.5171615Z ''')
2022-11-23T01:32:37.5171620Z 
2022-11-23T01:32:37.5171624Z 
2022-11-23T01:32:37.5171711Z async_compile.wait(globals())
2022-11-23T01:32:37.5171783Z del async_compile
2022-11-23T01:32:37.5171788Z 
2022-11-23T01:32:37.5171845Z def call(args):
2022-11-23T01:32:37.5171927Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.5171997Z     args.clear()
2022-11-23T01:32:37.5172188Z     buf0 = empty_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5172319Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.5172387Z     del arg0_1
2022-11-23T01:32:37.5172491Z     aten.index_put_(buf0, [arg1_1], arg2_1, False)
2022-11-23T01:32:37.5172545Z     del arg1_1
2022-11-23T01:32:37.5172612Z     del arg2_1
2022-11-23T01:32:37.5172685Z     return (buf0, )
2022-11-23T01:32:37.5172690Z 
2022-11-23T01:32:37.5172694Z 
2022-11-23T01:32:37.5172770Z if __name__ == "__main__":
2022-11-23T01:32:37.5172881Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5173000Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5173191Z     arg0_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5173373Z     arg1_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.5173550Z     arg2_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5173670Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.5173675Z 
2022-11-23T01:32:37.5173679Z 
2022-11-23T01:32:37.5173771Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5173840Z import torch
2022-11-23T01:32:37.5173908Z import random
2022-11-23T01:32:37.5174019Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5174167Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5174171Z 
2022-11-23T01:32:37.5174249Z aten = torch.ops.aten
2022-11-23T01:32:37.5174368Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5174458Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5174463Z 
2022-11-23T01:32:37.5174466Z 
2022-11-23T01:32:37.5174598Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5174827Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5174946Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.5175044Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.5175104Z {
2022-11-23T01:32:37.5175179Z     #pragma GCC ivdep
2022-11-23T01:32:37.5175247Z     for(long i0=0; i0<3; i0+=1)
2022-11-23T01:32:37.5175307Z     {
2022-11-23T01:32:37.5175368Z         {
2022-11-23T01:32:37.5175432Z             {
2022-11-23T01:32:37.5175518Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.5175601Z                 out_ptr0[i0] = tmp0;
2022-11-23T01:32:37.5175651Z             }
2022-11-23T01:32:37.5175713Z         }
2022-11-23T01:32:37.5175772Z     }
2022-11-23T01:32:37.5175830Z }
2022-11-23T01:32:37.5175907Z ''')
2022-11-23T01:32:37.5175911Z 
2022-11-23T01:32:37.5175915Z 
2022-11-23T01:32:37.5176002Z async_compile.wait(globals())
2022-11-23T01:32:37.5176072Z del async_compile
2022-11-23T01:32:37.5176078Z 
2022-11-23T01:32:37.5176134Z def call(args):
2022-11-23T01:32:37.5176215Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.5176284Z     args.clear()
2022-11-23T01:32:37.5176473Z     buf0 = empty_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5176605Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.5176673Z     del arg0_1
2022-11-23T01:32:37.5176775Z     aten.index_put_(buf0, [arg1_1], arg2_1, True)
2022-11-23T01:32:37.5176829Z     del arg1_1
2022-11-23T01:32:37.5176895Z     del arg2_1
2022-11-23T01:32:37.5176967Z     return (buf0, )
2022-11-23T01:32:37.5176972Z 
2022-11-23T01:32:37.5176976Z 
2022-11-23T01:32:37.5177050Z if __name__ == "__main__":
2022-11-23T01:32:37.5177161Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5177281Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5177468Z     arg0_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5177650Z     arg1_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.5177824Z     arg2_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5177944Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.5177949Z 
2022-11-23T01:32:37.5178015Z ok (2.663s)
2022-11-23T01:32:37.5178338Z   test_index_put_fallback2_cpu (__main__.CpuTests) ... [2022-11-23 01:21:38,792] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5178606Z [2022-11-23 01:21:38,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5178826Z [2022-11-23 01:21:38,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5179079Z [2022-11-23 01:21:38,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.5179368Z [2022-11-23 01:21:38,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.5179693Z [2022-11-23 01:21:38,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5180019Z [2022-11-23 01:21:38,792] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64379c0, file "inductor/test_torchinductor.py", line 3550> 
2022-11-23T01:32:37.5180100Z  3551           0 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5180197Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:32:37.5180316Z                4 CALL_METHOD              0
2022-11-23T01:32:37.5180408Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:37.5180413Z 
2022-11-23T01:32:37.5180508Z 3552           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:37.5180600Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:32:37.5180695Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:32:37.5180809Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:32:37.5180900Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5180992Z               18 LOAD_CONST               0 (None)
2022-11-23T01:32:37.5181081Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:37.5181170Z               22 LOAD_FAST                2 (c)
2022-11-23T01:32:37.5181257Z               24 BUILD_LIST               3
2022-11-23T01:32:37.5181346Z               26 LOAD_FAST                3 (d)
2022-11-23T01:32:37.5181422Z               28 LOAD_FAST                4 (e)
2022-11-23T01:32:37.5181510Z               30 CALL_METHOD              4
2022-11-23T01:32:37.5181583Z               32 POP_TOP
2022-11-23T01:32:37.5181588Z 
2022-11-23T01:32:37.5181674Z 3553          34 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5181753Z               36 RETURN_VALUE
2022-11-23T01:32:37.5181815Z  
2022-11-23T01:32:37.5181820Z 
2022-11-23T01:32:37.5182091Z [2022-11-23 01:21:38,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3551
2022-11-23T01:32:37.5182301Z [2022-11-23 01:21:38,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5182534Z [2022-11-23 01:21:38,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:32:37.5182817Z [2022-11-23 01:21:38,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:32:37.5183057Z [2022-11-23 01:21:38,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:37.5183324Z [2022-11-23 01:21:38,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3552
2022-11-23T01:32:37.5183542Z [2022-11-23 01:21:38,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5183909Z [2022-11-23 01:21:38,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5184201Z [2022-11-23 01:21:38,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:37.5184594Z [2022-11-23 01:21:38,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5184857Z [2022-11-23 01:21:38,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:37.5185152Z [2022-11-23 01:21:38,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:37.5185484Z [2022-11-23 01:21:38,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.5185828Z [2022-11-23 01:21:38,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:32:37.5186218Z [2022-11-23 01:21:38,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5186530Z [2022-11-23 01:21:38,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.5186903Z [2022-11-23 01:21:38,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:37.5187290Z [2022-11-23 01:21:38,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.5187560Z [2022-11-23 01:21:38,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:37.5187828Z [2022-11-23 01:21:38,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3553
2022-11-23T01:32:37.5188035Z [2022-11-23 01:21:38,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5188283Z [2022-11-23 01:21:38,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5188613Z [2022-11-23 01:21:38,809] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64379c0, file "inductor/test_torchinductor.py", line 3550>
2022-11-23T01:32:37.5188862Z [2022-11-23 01:21:38,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5189083Z [2022-11-23 01:21:38,809] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5189338Z [2022-11-23 01:21:38,811] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5189586Z [2022-11-23 01:21:38,817] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5189774Z [2022-11-23 01:21:38,817] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5189908Z  __compiled_fn_202 <eval_with_key>.1273 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5189999Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5190084Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.5190170Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.5190241Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:37.5190334Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:32:37.5190482Z call_function, index_put_, aten.index_put_, (clone, [None, ex_1_, ex_2_], ex_3_, False), {}
2022-11-23T01:32:37.5190577Z output, output, output, ((clone,),), {}
2022-11-23T01:32:37.5190583Z 
2022-11-23T01:32:37.5190860Z [2022-11-23 01:21:38,818] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5190953Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5191040Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5191120Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5191209Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5191283Z               8 RETURN_VALUE
2022-11-23T01:32:37.5191288Z 
2022-11-23T01:32:37.5191347Z  
2022-11-23T01:32:37.5191623Z [2022-11-23 01:21:38,818] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5191734Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_202)
2022-11-23T01:32:37.5191821Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5191909Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5191972Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5192063Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5192153Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5192226Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.5192313Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5192396Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.5192469Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.5192541Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5192626Z              22 LOAD_CONST               4 (3)
2022-11-23T01:32:37.5192731Z              24 BINARY_SUBSCR
2022-11-23T01:32:37.5192820Z              26 CALL_FUNCTION            4
2022-11-23T01:32:37.5192909Z              28 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.5192983Z              30 RETURN_VALUE
2022-11-23T01:32:37.5192988Z 
2022-11-23T01:32:37.5193048Z  
2022-11-23T01:32:37.5193219Z [2022-11-23 01:21:38,820] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5193287Z  - 
2022-11-23T01:32:37.5193404Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5193495Z             {
2022-11-23T01:32:37.5193636Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5193819Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 5'],
2022-11-23T01:32:37.5193936Z                 'obj_weakref': None
2022-11-23T01:32:37.5194146Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5194207Z             }
2022-11-23T01:32:37.5194271Z             
2022-11-23T01:32:37.5194340Z  - 
2022-11-23T01:32:37.5194463Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5194526Z             {
2022-11-23T01:32:37.5194668Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5194760Z                 'code': None,
2022-11-23T01:32:37.5194966Z                 'obj_weakref': <weakref at 0x7f71070f90b0; to 'Tensor' at 0x7f70f2d6ecb0>
2022-11-23T01:32:37.5195216Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5195279Z             }
2022-11-23T01:32:37.5195341Z             
2022-11-23T01:32:37.5195408Z  - 
2022-11-23T01:32:37.5195530Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.5195579Z             {
2022-11-23T01:32:37.5195718Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5195822Z                 'code': None,
2022-11-23T01:32:37.5196025Z                 'obj_weakref': <weakref at 0x7f71070f9290; to 'Tensor' at 0x7f71c0e7f2f0>
2022-11-23T01:32:37.5196269Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5196332Z             }
2022-11-23T01:32:37.5196394Z             
2022-11-23T01:32:37.5196448Z  - 
2022-11-23T01:32:37.5196567Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.5196628Z             {
2022-11-23T01:32:37.5196764Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5196869Z                 'code': None,
2022-11-23T01:32:37.5197072Z                 'obj_weakref': <weakref at 0x7f71c134f650; to 'Tensor' at 0x7f71c0e7f170>
2022-11-23T01:32:37.5197433Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5197498Z             }
2022-11-23T01:32:37.5197548Z             
2022-11-23T01:32:37.5197616Z  - 
2022-11-23T01:32:37.5197737Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:37.5197802Z             {
2022-11-23T01:32:37.5197941Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5198049Z                 'code': None,
2022-11-23T01:32:37.5198243Z                 'obj_weakref': <weakref at 0x7f7106bc3bf0; to 'Tensor' at 0x7f71c0e7f3b0>
2022-11-23T01:32:37.5198486Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5198550Z             }
2022-11-23T01:32:37.5198614Z             
2022-11-23T01:32:37.5198683Z  - 
2022-11-23T01:32:37.5198814Z             local 'ex[4]' CONSTANT_MATCH
2022-11-23T01:32:37.5198878Z             {
2022-11-23T01:32:37.5198998Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5199164Z                 'code': ['___check_obj_id(ex[4], 94279403954912)'],
2022-11-23T01:32:37.5199282Z                 'obj_weakref': None
2022-11-23T01:32:37.5199503Z                 'guarded_class': <weakref at 0x7f71f667d230; to 'type' at 0x55bf2261e140 (bool)>
2022-11-23T01:32:37.5199567Z             }
2022-11-23T01:32:37.5199684Z             
2022-11-23T01:32:37.5199754Z  - 
2022-11-23T01:32:37.5199871Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.5199934Z             {
2022-11-23T01:32:37.5200066Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5200234Z                 'code': ['___check_obj_id(model, 140123419200688)'],
2022-11-23T01:32:37.5200353Z                 'obj_weakref': None
2022-11-23T01:32:37.5200646Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.5200712Z             }
2022-11-23T01:32:37.5200762Z             
2022-11-23T01:32:37.5200832Z  - 
2022-11-23T01:32:37.5200954Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5201022Z             {
2022-11-23T01:32:37.5201158Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5201382Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5201500Z                 'obj_weakref': None
2022-11-23T01:32:37.5201708Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5201771Z             }
2022-11-23T01:32:37.5201835Z             
2022-11-23T01:32:37.5201904Z  - 
2022-11-23T01:32:37.5202037Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.5202101Z             {
2022-11-23T01:32:37.5202220Z                 'guard_types': None,
2022-11-23T01:32:37.5202313Z                 'code': None,
2022-11-23T01:32:37.5202432Z                 'obj_weakref': None
2022-11-23T01:32:37.5202553Z                 'guarded_class': None
2022-11-23T01:32:37.5202616Z             }
2022-11-23T01:32:37.5202681Z             
2022-11-23T01:32:37.5202946Z [2022-11-23 01:21:38,830] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 200
2022-11-23T01:32:37.5203319Z [2022-11-23 01:21:41,360] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/of/cofuwhexr5m3ozotg2vi6lytwb5otwkukwakygnsbovczboj5srr.py
2022-11-23T01:32:37.5203586Z [2022-11-23 01:21:41,361] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 200
2022-11-23T01:32:37.5203810Z [2022-11-23 01:21:41,375] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5204076Z [2022-11-23 01:21:41,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5204293Z [2022-11-23 01:21:41,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5204542Z [2022-11-23 01:21:41,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.5204826Z [2022-11-23 01:21:41,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.5205147Z [2022-11-23 01:21:41,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5205475Z [2022-11-23 01:21:41,377] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64379c0, file "inductor/test_torchinductor.py", line 3550> 
2022-11-23T01:32:37.5205568Z  3551           0 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5205661Z                2 LOAD_METHOD              0 (clone)
2022-11-23T01:32:37.5205737Z                4 CALL_METHOD              0
2022-11-23T01:32:37.5205826Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:37.5205834Z 
2022-11-23T01:32:37.5205926Z 3552           8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:37.5206016Z               10 LOAD_ATTR                2 (ops)
2022-11-23T01:32:37.5206107Z               12 LOAD_ATTR                3 (aten)
2022-11-23T01:32:37.5206206Z               14 LOAD_METHOD              4 (index_put_)
2022-11-23T01:32:37.5206293Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5206371Z               18 LOAD_CONST               0 (None)
2022-11-23T01:32:37.5206501Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:37.5206586Z               22 LOAD_FAST                2 (c)
2022-11-23T01:32:37.5206672Z               24 BUILD_LIST               3
2022-11-23T01:32:37.5206760Z               26 LOAD_FAST                3 (d)
2022-11-23T01:32:37.5206844Z               28 LOAD_FAST                4 (e)
2022-11-23T01:32:37.5206931Z               30 CALL_METHOD              4
2022-11-23T01:32:37.5207002Z               32 POP_TOP
2022-11-23T01:32:37.5207035Z 
2022-11-23T01:32:37.5207109Z 3553          34 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5207183Z               36 RETURN_VALUE
2022-11-23T01:32:37.5207245Z  
2022-11-23T01:32:37.5207250Z 
2022-11-23T01:32:37.5207518Z [2022-11-23 01:21:41,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3551
2022-11-23T01:32:37.5207726Z [2022-11-23 01:21:41,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5207967Z [2022-11-23 01:21:41,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()]
2022-11-23T01:32:37.5208247Z [2022-11-23 01:21:41,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)]
2022-11-23T01:32:37.5208481Z [2022-11-23 01:21:41,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:37.5208734Z [2022-11-23 01:21:41,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3552
2022-11-23T01:32:37.5208949Z [2022-11-23 01:21:41,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5209308Z [2022-11-23 01:21:41,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5209599Z [2022-11-23 01:21:41,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:37.5209910Z [2022-11-23 01:21:41,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5210207Z [2022-11-23 01:21:41,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)]
2022-11-23T01:32:37.5210559Z [2022-11-23 01:21:41,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()]
2022-11-23T01:32:37.5210892Z [2022-11-23 01:21:41,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.5211250Z [2022-11-23 01:21:41,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()]
2022-11-23T01:32:37.5211640Z [2022-11-23 01:21:41,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5211952Z [2022-11-23 01:21:41,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.5212288Z [2022-11-23 01:21:41,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:37.5212658Z [2022-11-23 01:21:41,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.5212897Z [2022-11-23 01:21:41,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:37.5213161Z [2022-11-23 01:21:41,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3553
2022-11-23T01:32:37.5213405Z [2022-11-23 01:21:41,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5213647Z [2022-11-23 01:21:41,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5213975Z [2022-11-23 01:21:41,400] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64379c0, file "inductor/test_torchinductor.py", line 3550>
2022-11-23T01:32:37.5214248Z [2022-11-23 01:21:41,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5214483Z [2022-11-23 01:21:41,400] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5214735Z [2022-11-23 01:21:41,402] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5214967Z [2022-11-23 01:21:41,412] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5215154Z [2022-11-23 01:21:41,412] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5215289Z  __compiled_fn_203 <eval_with_key>.1279 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5215378Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5215464Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.5215546Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.5215629Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:37.5215723Z call_method, clone, clone, (ex_0_,), {}
2022-11-23T01:32:37.5215859Z call_function, index_put_, aten.index_put_, (clone, [None, ex_1_, ex_2_], ex_3_, True), {}
2022-11-23T01:32:37.5215957Z output, output, output, ((clone,),), {}
2022-11-23T01:32:37.5215963Z 
2022-11-23T01:32:37.5216240Z [2022-11-23 01:21:41,413] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5216333Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5216423Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5216520Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5216609Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5216683Z               8 RETURN_VALUE
2022-11-23T01:32:37.5216688Z 
2022-11-23T01:32:37.5216736Z  
2022-11-23T01:32:37.5217006Z [2022-11-23 01:21:41,413] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5217117Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_203)
2022-11-23T01:32:37.5217205Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5217293Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5217369Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5217457Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5217531Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5217606Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.5217691Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5217778Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.5217853Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.5217939Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5218025Z              22 LOAD_CONST               4 (3)
2022-11-23T01:32:37.5218087Z              24 BINARY_SUBSCR
2022-11-23T01:32:37.5218172Z              26 CALL_FUNCTION            4
2022-11-23T01:32:37.5218262Z              28 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.5218336Z              30 RETURN_VALUE
2022-11-23T01:32:37.5218341Z 
2022-11-23T01:32:37.5218400Z  
2022-11-23T01:32:37.5218579Z [2022-11-23 01:21:41,416] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5218648Z  - 
2022-11-23T01:32:37.5218753Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5218818Z             {
2022-11-23T01:32:37.5218958Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5219143Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 5'],
2022-11-23T01:32:37.5219297Z                 'obj_weakref': None
2022-11-23T01:32:37.5219520Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5219583Z             }
2022-11-23T01:32:37.5219634Z             
2022-11-23T01:32:37.5219700Z  - 
2022-11-23T01:32:37.5219824Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5219886Z             {
2022-11-23T01:32:37.5220026Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5220158Z                 'code': None,
2022-11-23T01:32:37.5220367Z                 'obj_weakref': <weakref at 0x7f7106cc6110; to 'Tensor' at 0x7f70f2d6ecb0>
2022-11-23T01:32:37.5220613Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5220664Z             }
2022-11-23T01:32:37.5220725Z             
2022-11-23T01:32:37.5220792Z  - 
2022-11-23T01:32:37.5220914Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.5220979Z             {
2022-11-23T01:32:37.5221120Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5221212Z                 'code': None,
2022-11-23T01:32:37.5221415Z                 'obj_weakref': <weakref at 0x7f71066b8a10; to 'Tensor' at 0x7f7106276b30>
2022-11-23T01:32:37.5221655Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5221719Z             }
2022-11-23T01:32:37.5221783Z             
2022-11-23T01:32:37.5221851Z  - 
2022-11-23T01:32:37.5221971Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.5222021Z             {
2022-11-23T01:32:37.5222158Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5222262Z                 'code': None,
2022-11-23T01:32:37.5222466Z                 'obj_weakref': <weakref at 0x7f7106bdf4d0; to 'Tensor' at 0x7f7106d70470>
2022-11-23T01:32:37.5222705Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5222772Z             }
2022-11-23T01:32:37.5222835Z             
2022-11-23T01:32:37.5222906Z  - 
2022-11-23T01:32:37.5223015Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:37.5223077Z             {
2022-11-23T01:32:37.5223216Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5223324Z                 'code': None,
2022-11-23T01:32:37.5223532Z                 'obj_weakref': <weakref at 0x7f7106bdf590; to 'Tensor' at 0x7f71069b54d0>
2022-11-23T01:32:37.5223773Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5223838Z             }
2022-11-23T01:32:37.5223887Z             
2022-11-23T01:32:37.5223957Z  - 
2022-11-23T01:32:37.5224086Z             local 'ex[4]' CONSTANT_MATCH
2022-11-23T01:32:37.5224150Z             {
2022-11-23T01:32:37.5224285Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5224516Z                 'code': ['___check_obj_id(ex[4], 94279403954944)'],
2022-11-23T01:32:37.5224639Z                 'obj_weakref': None
2022-11-23T01:32:37.5224846Z                 'guarded_class': <weakref at 0x7f71f667d230; to 'type' at 0x55bf2261e140 (bool)>
2022-11-23T01:32:37.5224910Z             }
2022-11-23T01:32:37.5224975Z             
2022-11-23T01:32:37.5225043Z  - 
2022-11-23T01:32:37.5225174Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.5225238Z             {
2022-11-23T01:32:37.5225360Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5225529Z                 'code': ['___check_obj_id(model, 140123419200688)'],
2022-11-23T01:32:37.5225647Z                 'obj_weakref': None
2022-11-23T01:32:37.5225875Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.5225940Z             }
2022-11-23T01:32:37.5226004Z             
2022-11-23T01:32:37.5226073Z  - 
2022-11-23T01:32:37.5226182Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5226277Z             {
2022-11-23T01:32:37.5226415Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5226633Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5226751Z                 'obj_weakref': None
2022-11-23T01:32:37.5226970Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5227034Z             }
2022-11-23T01:32:37.5227111Z             
2022-11-23T01:32:37.5227182Z  - 
2022-11-23T01:32:37.5227316Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.5227380Z             {
2022-11-23T01:32:37.5227500Z                 'guard_types': None,
2022-11-23T01:32:37.5227607Z                 'code': None,
2022-11-23T01:32:37.5227727Z                 'obj_weakref': None
2022-11-23T01:32:37.5227834Z                 'guarded_class': None
2022-11-23T01:32:37.5227898Z             }
2022-11-23T01:32:37.5227961Z             
2022-11-23T01:32:37.5228224Z [2022-11-23 01:21:41,431] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 201
2022-11-23T01:32:37.5228595Z [2022-11-23 01:21:41,449] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xb/cxbbtcxmbunmik7e2h5xin735xm4hrduk6cmqewn62y5cbazs5uk.py
2022-11-23T01:32:37.5228856Z [2022-11-23 01:21:41,449] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 201
2022-11-23T01:32:37.5228862Z 
2022-11-23T01:32:37.5228958Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5229029Z import torch
2022-11-23T01:32:37.5229086Z import random
2022-11-23T01:32:37.5229199Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5229321Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5229326Z 
2022-11-23T01:32:37.5229405Z aten = torch.ops.aten
2022-11-23T01:32:37.5229538Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5229630Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5229637Z 
2022-11-23T01:32:37.5229641Z 
2022-11-23T01:32:37.5229773Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5229978Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5230083Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.5230181Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.5230242Z {
2022-11-23T01:32:37.5230342Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5230405Z     {
2022-11-23T01:32:37.5230481Z         #pragma omp for 
2022-11-23T01:32:37.5230561Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:37.5230610Z         {
2022-11-23T01:32:37.5230672Z             {
2022-11-23T01:32:37.5230735Z                 {
2022-11-23T01:32:37.5230826Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.5230911Z                     out_ptr0[i0] = tmp0;
2022-11-23T01:32:37.5230975Z                 }
2022-11-23T01:32:37.5231040Z             }
2022-11-23T01:32:37.5231090Z         }
2022-11-23T01:32:37.5231149Z     }
2022-11-23T01:32:37.5231207Z }
2022-11-23T01:32:37.5231283Z ''')
2022-11-23T01:32:37.5231288Z 
2022-11-23T01:32:37.5231292Z 
2022-11-23T01:32:37.5231382Z async_compile.wait(globals())
2022-11-23T01:32:37.5231453Z del async_compile
2022-11-23T01:32:37.5231458Z 
2022-11-23T01:32:37.5231527Z def call(args):
2022-11-23T01:32:37.5231602Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:32:37.5231673Z     args.clear()
2022-11-23T01:32:37.5231872Z     buf0 = empty_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5232003Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.5232070Z     del arg0_1
2022-11-23T01:32:37.5232188Z     aten.index_put_(buf0, [None,arg1_1,arg2_1], arg3_1, False)
2022-11-23T01:32:37.5232254Z     del arg1_1
2022-11-23T01:32:37.5232307Z     del arg2_1
2022-11-23T01:32:37.5232371Z     del arg3_1
2022-11-23T01:32:37.5232468Z     return (buf0, )
2022-11-23T01:32:37.5232474Z 
2022-11-23T01:32:37.5232477Z 
2022-11-23T01:32:37.5232553Z if __name__ == "__main__":
2022-11-23T01:32:37.5232667Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5232786Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5232987Z     arg0_1 = rand_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5233200Z     arg1_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.5233373Z     arg2_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.5233551Z     arg3_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5233677Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:32:37.5233682Z 
2022-11-23T01:32:37.5233686Z 
2022-11-23T01:32:37.5233780Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5233849Z import torch
2022-11-23T01:32:37.5233919Z import random
2022-11-23T01:32:37.5234035Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5234143Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5234159Z 
2022-11-23T01:32:37.5234223Z aten = torch.ops.aten
2022-11-23T01:32:37.5234355Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5234443Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5234448Z 
2022-11-23T01:32:37.5234453Z 
2022-11-23T01:32:37.5234585Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5234789Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5234906Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.5235004Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.5235053Z {
2022-11-23T01:32:37.5235148Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5235207Z     {
2022-11-23T01:32:37.5235282Z         #pragma omp for 
2022-11-23T01:32:37.5235365Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:37.5235426Z         {
2022-11-23T01:32:37.5235490Z             {
2022-11-23T01:32:37.5235541Z                 {
2022-11-23T01:32:37.5235632Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.5235716Z                     out_ptr0[i0] = tmp0;
2022-11-23T01:32:37.5235780Z                 }
2022-11-23T01:32:37.5235843Z             }
2022-11-23T01:32:37.5235905Z         }
2022-11-23T01:32:37.5235965Z     }
2022-11-23T01:32:37.5236013Z }
2022-11-23T01:32:37.5236090Z ''')
2022-11-23T01:32:37.5236095Z 
2022-11-23T01:32:37.5236099Z 
2022-11-23T01:32:37.5236187Z async_compile.wait(globals())
2022-11-23T01:32:37.5236257Z del async_compile
2022-11-23T01:32:37.5236262Z 
2022-11-23T01:32:37.5236331Z def call(args):
2022-11-23T01:32:37.5236419Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:32:37.5236488Z     args.clear()
2022-11-23T01:32:37.5236674Z     buf0 = empty_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5236807Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.5236873Z     del arg0_1
2022-11-23T01:32:37.5236991Z     aten.index_put_(buf0, [None,arg1_1,arg2_1], arg3_1, True)
2022-11-23T01:32:37.5237059Z     del arg1_1
2022-11-23T01:32:37.5237259Z     del arg2_1
2022-11-23T01:32:37.5237327Z     del arg3_1
2022-11-23T01:32:37.5237384Z     return (buf0, )
2022-11-23T01:32:37.5237389Z 
2022-11-23T01:32:37.5237408Z 
2022-11-23T01:32:37.5237472Z if __name__ == "__main__":
2022-11-23T01:32:37.5237586Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5237706Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5237909Z     arg0_1 = rand_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5238095Z     arg1_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.5238278Z     arg2_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.5238517Z     arg3_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5238633Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:32:37.5238655Z 
2022-11-23T01:32:37.5238708Z ok (2.667s)
2022-11-23T01:32:37.5239023Z   test_index_select_cpu (__main__.CpuTests) ... [2022-11-23 01:21:41,459] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5239329Z [2022-11-23 01:21:41,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5239549Z [2022-11-23 01:21:41,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5239802Z [2022-11-23 01:21:41,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.5240088Z [2022-11-23 01:21:41,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.5240413Z [2022-11-23 01:21:41,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5240739Z [2022-11-23 01:21:41,460] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6423c90, file "inductor/test_torchinductor.py", line 2848> 
2022-11-23T01:32:37.5240833Z  2850           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5240924Z                2 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:37.5241013Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5241102Z                6 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5241189Z                8 LOAD_FAST                1 (b)
2022-11-23T01:32:37.5241276Z               10 CALL_METHOD              3
2022-11-23T01:32:37.5241283Z 
2022-11-23T01:32:37.5241376Z 2851          12 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5241482Z               14 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:37.5241560Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5241647Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5241734Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:37.5241822Z               22 CALL_METHOD              3
2022-11-23T01:32:37.5241827Z 
2022-11-23T01:32:37.5241920Z 2852          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5242019Z               26 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:37.5242113Z               28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5242212Z               30 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:37.5242286Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5242373Z               34 LOAD_CONST               3 (2)
2022-11-23T01:32:37.5242457Z               36 LOAD_FAST                1 (b)
2022-11-23T01:32:37.5242541Z               38 CALL_METHOD              3
2022-11-23T01:32:37.5242627Z               40 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5242714Z               42 LOAD_FAST                1 (b)
2022-11-23T01:32:37.5242799Z               44 CALL_METHOD              3
2022-11-23T01:32:37.5242872Z               46 BUILD_TUPLE              3
2022-11-23T01:32:37.5242946Z               48 RETURN_VALUE
2022-11-23T01:32:37.5243006Z  
2022-11-23T01:32:37.5243012Z 
2022-11-23T01:32:37.5243281Z [2022-11-23 01:21:41,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2850
2022-11-23T01:32:37.5243499Z [2022-11-23 01:21:41,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5243876Z [2022-11-23 01:21:41,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5244206Z [2022-11-23 01:21:41,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.5244597Z [2022-11-23 01:21:41,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.5244992Z [2022-11-23 01:21:41,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5245454Z [2022-11-23 01:21:41,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.5245712Z [2022-11-23 01:21:41,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2851
2022-11-23T01:32:37.5245955Z [2022-11-23 01:21:41,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.5246360Z [2022-11-23 01:21:41,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5246714Z [2022-11-23 01:21:41,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.5247100Z [2022-11-23 01:21:41,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.5247526Z [2022-11-23 01:21:41,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5247982Z [2022-11-23 01:21:41,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.5248250Z [2022-11-23 01:21:41,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2852
2022-11-23T01:32:37.5248524Z [2022-11-23 01:21:41,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5248958Z [2022-11-23 01:21:41,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5249355Z [2022-11-23 01:21:41,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.5249909Z [2022-11-23 01:21:41,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5250421Z [2022-11-23 01:21:41,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.5250959Z [2022-11-23 01:21:41,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.5251533Z [2022-11-23 01:21:41,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5252204Z [2022-11-23 01:21:41,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.5252619Z [2022-11-23 01:21:41,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.5253067Z [2022-11-23 01:21:41,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5253556Z [2022-11-23 01:21:41,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.5253842Z [2022-11-23 01:21:41,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5254087Z [2022-11-23 01:21:41,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.5254420Z [2022-11-23 01:21:41,474] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6423c90, file "inductor/test_torchinductor.py", line 2848>
2022-11-23T01:32:37.5254662Z [2022-11-23 01:21:41,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.5254899Z [2022-11-23 01:21:41,474] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5255151Z [2022-11-23 01:21:41,476] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5255397Z [2022-11-23 01:21:41,485] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5255585Z [2022-11-23 01:21:41,486] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5255718Z  __compiled_fn_204 <eval_with_key>.1285 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5255795Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5255877Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.5256138Z call_function, index_select, <built-in method index_select of type object at 0x7f71f2abebc0>, (ex_0_, 0, ex_1_), {}
2022-11-23T01:32:37.5256398Z call_function, index_select_1, <built-in method index_select of type object at 0x7f71f2abebc0>, (ex_0_, 1, ex_1_), {}
2022-11-23T01:32:37.5256656Z call_function, index_select_2, <built-in method index_select of type object at 0x7f71f2abebc0>, (ex_0_, 2, ex_1_), {}
2022-11-23T01:32:37.5256927Z call_function, index_select_3, <built-in method index_select of type object at 0x7f71f2abebc0>, (index_select_2, 1, ex_1_), {}
2022-11-23T01:32:37.5257068Z output, output, output, ((index_select, index_select_1, index_select_3),), {}
2022-11-23T01:32:37.5257073Z 
2022-11-23T01:32:37.5257350Z [2022-11-23 01:21:41,486] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5257442Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5257519Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5257610Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5257698Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5257773Z               8 RETURN_VALUE
2022-11-23T01:32:37.5257807Z 
2022-11-23T01:32:37.5257866Z  
2022-11-23T01:32:37.5258142Z [2022-11-23 01:21:41,487] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5258251Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_204)
2022-11-23T01:32:37.5258340Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5258416Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5258518Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5258607Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5258694Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5258768Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.5258855Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.5258958Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.5259046Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5259133Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5259212Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.5259309Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5259396Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5259470Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.5259568Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5259644Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:37.5259720Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.5259807Z              36 BUILD_TUPLE              3
2022-11-23T01:32:37.5259880Z              38 RETURN_VALUE
2022-11-23T01:32:37.5259885Z 
2022-11-23T01:32:37.5259945Z  
2022-11-23T01:32:37.5260126Z [2022-11-23 01:21:41,488] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5260193Z  - 
2022-11-23T01:32:37.5260299Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5260363Z             {
2022-11-23T01:32:37.5260505Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5260691Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.5260809Z                 'obj_weakref': None
2022-11-23T01:32:37.5261033Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5261096Z             }
2022-11-23T01:32:37.5261146Z             
2022-11-23T01:32:37.5261214Z  - 
2022-11-23T01:32:37.5261336Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5261402Z             {
2022-11-23T01:32:37.5261544Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5261649Z                 'code': None,
2022-11-23T01:32:37.5261857Z                 'obj_weakref': <weakref at 0x7f7106cd61d0; to 'Tensor' at 0x7f7106d51a10>
2022-11-23T01:32:37.5262094Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5262156Z             }
2022-11-23T01:32:37.5262219Z             
2022-11-23T01:32:37.5262286Z  - 
2022-11-23T01:32:37.5262407Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.5262471Z             {
2022-11-23T01:32:37.5262612Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5262704Z                 'code': None,
2022-11-23T01:32:37.5262906Z                 'obj_weakref': <weakref at 0x7f7106b90e90; to 'Tensor' at 0x7f7106cd6590>
2022-11-23T01:32:37.5263151Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5263214Z             }
2022-11-23T01:32:37.5263276Z             
2022-11-23T01:32:37.5263343Z  - 
2022-11-23T01:32:37.5263472Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.5263521Z             {
2022-11-23T01:32:37.5263653Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5263821Z                 'code': ['___check_obj_id(model, 140123621292944)'],
2022-11-23T01:32:37.5263937Z                 'obj_weakref': None
2022-11-23T01:32:37.5264195Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.5264262Z             }
2022-11-23T01:32:37.5264323Z             
2022-11-23T01:32:37.5264377Z  - 
2022-11-23T01:32:37.5264572Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5264636Z             {
2022-11-23T01:32:37.5264775Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5265031Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5265152Z                 'obj_weakref': None
2022-11-23T01:32:37.5265372Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5265422Z             }
2022-11-23T01:32:37.5265487Z             
2022-11-23T01:32:37.5265556Z  - 
2022-11-23T01:32:37.5265689Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.5265753Z             {
2022-11-23T01:32:37.5265872Z                 'guard_types': None,
2022-11-23T01:32:37.5265981Z                 'code': None,
2022-11-23T01:32:37.5266086Z                 'obj_weakref': None
2022-11-23T01:32:37.5266207Z                 'guarded_class': None
2022-11-23T01:32:37.5266269Z             }
2022-11-23T01:32:37.5266332Z             
2022-11-23T01:32:37.5266592Z [2022-11-23 01:21:41,515] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 202
2022-11-23T01:32:37.5266965Z [2022-11-23 01:21:44,178] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fl/cflrdsfptcz2rk2t3r62hriwpz5dlxshxs7f4kwjtueuykeanjeq.py
2022-11-23T01:32:37.5267228Z [2022-11-23 01:21:44,178] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 202
2022-11-23T01:32:37.5267466Z [2022-11-23 01:21:44,193] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5267719Z [2022-11-23 01:21:44,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5267940Z [2022-11-23 01:21:44,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5268193Z [2022-11-23 01:21:44,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.5268480Z [2022-11-23 01:21:44,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.5268804Z [2022-11-23 01:21:44,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5269131Z [2022-11-23 01:21:44,194] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6423c90, file "inductor/test_torchinductor.py", line 2848> 
2022-11-23T01:32:37.5269230Z  2850           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5269334Z                2 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:37.5269427Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5269507Z                6 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5269596Z                8 LOAD_FAST                1 (b)
2022-11-23T01:32:37.5269686Z               10 CALL_METHOD              3
2022-11-23T01:32:37.5269691Z 
2022-11-23T01:32:37.5269785Z 2851          12 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5269887Z               14 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:37.5269978Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5270069Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5270157Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:37.5270231Z               22 CALL_METHOD              3
2022-11-23T01:32:37.5270236Z 
2022-11-23T01:32:37.5270329Z 2852          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5270429Z               26 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:37.5270522Z               28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5270653Z               30 LOAD_METHOD              1 (index_select)
2022-11-23T01:32:37.5270741Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5270831Z               34 LOAD_CONST               3 (2)
2022-11-23T01:32:37.5270906Z               36 LOAD_FAST                1 (b)
2022-11-23T01:32:37.5270994Z               38 CALL_METHOD              3
2022-11-23T01:32:37.5271082Z               40 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5271197Z               42 LOAD_FAST                1 (b)
2022-11-23T01:32:37.5271287Z               44 CALL_METHOD              3
2022-11-23T01:32:37.5271375Z               46 BUILD_TUPLE              3
2022-11-23T01:32:37.5271452Z               48 RETURN_VALUE
2022-11-23T01:32:37.5271500Z  
2022-11-23T01:32:37.5271505Z 
2022-11-23T01:32:37.5271776Z [2022-11-23 01:21:44,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2850
2022-11-23T01:32:37.5271993Z [2022-11-23 01:21:44,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5272377Z [2022-11-23 01:21:44,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5272707Z [2022-11-23 01:21:44,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.5273067Z [2022-11-23 01:21:44,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.5273459Z [2022-11-23 01:21:44,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5273889Z [2022-11-23 01:21:44,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.5274160Z [2022-11-23 01:21:44,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2851
2022-11-23T01:32:37.5274405Z [2022-11-23 01:21:44,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.5274807Z [2022-11-23 01:21:44,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5275162Z [2022-11-23 01:21:44,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.5275539Z [2022-11-23 01:21:44,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.5275963Z [2022-11-23 01:21:44,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5276429Z [2022-11-23 01:21:44,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.5276695Z [2022-11-23 01:21:44,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2852
2022-11-23T01:32:37.5276965Z [2022-11-23 01:21:44,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5277498Z [2022-11-23 01:21:44,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5277949Z [2022-11-23 01:21:44,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.5278548Z [2022-11-23 01:21:44,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5279062Z [2022-11-23 01:21:44,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.5279604Z [2022-11-23 01:21:44,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.5280179Z [2022-11-23 01:21:44,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5280791Z [2022-11-23 01:21:44,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.5281206Z [2022-11-23 01:21:44,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.5281665Z [2022-11-23 01:21:44,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5282153Z [2022-11-23 01:21:44,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method index_select of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.5282453Z [2022-11-23 01:21:44,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5282701Z [2022-11-23 01:21:44,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.5283029Z [2022-11-23 01:21:44,208] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6423c90, file "inductor/test_torchinductor.py", line 2848>
2022-11-23T01:32:37.5283277Z [2022-11-23 01:21:44,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.5283499Z [2022-11-23 01:21:44,208] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5283750Z [2022-11-23 01:21:44,211] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5283996Z [2022-11-23 01:21:44,221] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5284182Z [2022-11-23 01:21:44,221] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5284345Z  __compiled_fn_205 <eval_with_key>.1291 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5284434Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5284520Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.5284782Z call_function, index_select, <built-in method index_select of type object at 0x7f71f2abebc0>, (ex_0_, 0, ex_1_), {}
2022-11-23T01:32:37.5285059Z call_function, index_select_1, <built-in method index_select of type object at 0x7f71f2abebc0>, (ex_0_, 1, ex_1_), {}
2022-11-23T01:32:37.5285315Z call_function, index_select_2, <built-in method index_select of type object at 0x7f71f2abebc0>, (ex_0_, 2, ex_1_), {}
2022-11-23T01:32:37.5285585Z call_function, index_select_3, <built-in method index_select of type object at 0x7f71f2abebc0>, (index_select_2, 1, ex_1_), {}
2022-11-23T01:32:37.5285727Z output, output, output, ((index_select, index_select_1, index_select_3),), {}
2022-11-23T01:32:37.5285734Z 
2022-11-23T01:32:37.5286007Z [2022-11-23 01:21:44,222] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5286100Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5286189Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5286281Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5286369Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5286432Z               8 RETURN_VALUE
2022-11-23T01:32:37.5286437Z 
2022-11-23T01:32:37.5286499Z  
2022-11-23T01:32:37.5286772Z [2022-11-23 01:21:44,222] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5286879Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_205)
2022-11-23T01:32:37.5286967Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5287056Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5287129Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5287205Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5287293Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5287368Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.5287456Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.5287557Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.5287657Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5287745Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5287810Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.5287910Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5287996Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5288069Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.5288167Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5288253Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:37.5288327Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.5288404Z              36 BUILD_TUPLE              3
2022-11-23T01:32:37.5288478Z              38 RETURN_VALUE
2022-11-23T01:32:37.5288483Z 
2022-11-23T01:32:37.5288541Z  
2022-11-23T01:32:37.5288721Z [2022-11-23 01:21:44,224] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5288789Z  - 
2022-11-23T01:32:37.5288905Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5288968Z             {
2022-11-23T01:32:37.5289096Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5289281Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.5289399Z                 'obj_weakref': None
2022-11-23T01:32:37.5289623Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5289692Z             }
2022-11-23T01:32:37.5289755Z             
2022-11-23T01:32:37.5289822Z  - 
2022-11-23T01:32:37.5289932Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5289994Z             {
2022-11-23T01:32:37.5290164Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5290268Z                 'code': None,
2022-11-23T01:32:37.5290476Z                 'obj_weakref': <weakref at 0x7f7112a3db90; to 'Tensor' at 0x7f7106d51a10>
2022-11-23T01:32:37.5290722Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5290786Z             }
2022-11-23T01:32:37.5290850Z             
2022-11-23T01:32:37.5290940Z  - 
2022-11-23T01:32:37.5291063Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.5291125Z             {
2022-11-23T01:32:37.5291265Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5291369Z                 'code': None,
2022-11-23T01:32:37.5291574Z                 'obj_weakref': <weakref at 0x7f7106cd6590; to 'Tensor' at 0x7f7129ec2230>
2022-11-23T01:32:37.5291820Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5291872Z             }
2022-11-23T01:32:37.5291934Z             
2022-11-23T01:32:37.5292002Z  - 
2022-11-23T01:32:37.5292131Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.5292195Z             {
2022-11-23T01:32:37.5292327Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5292497Z                 'code': ['___check_obj_id(model, 140123621292944)'],
2022-11-23T01:32:37.5292602Z                 'obj_weakref': None
2022-11-23T01:32:37.5292833Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.5292901Z             }
2022-11-23T01:32:37.5292965Z             
2022-11-23T01:32:37.5293034Z  - 
2022-11-23T01:32:37.5293155Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5293206Z             {
2022-11-23T01:32:37.5293339Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5293553Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5293672Z                 'obj_weakref': None
2022-11-23T01:32:37.5293889Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5293952Z             }
2022-11-23T01:32:37.5294014Z             
2022-11-23T01:32:37.5294080Z  - 
2022-11-23T01:32:37.5294200Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.5294260Z             {
2022-11-23T01:32:37.5294377Z                 'guard_types': None,
2022-11-23T01:32:37.5294484Z                 'code': None,
2022-11-23T01:32:37.5294600Z                 'obj_weakref': None
2022-11-23T01:32:37.5294717Z                 'guarded_class': None
2022-11-23T01:32:37.5294767Z             }
2022-11-23T01:32:37.5294829Z             
2022-11-23T01:32:37.5295084Z [2022-11-23 01:21:44,253] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 203
2022-11-23T01:32:37.5295453Z [2022-11-23 01:21:46,908] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ph/cphnqvy5ifk743mgbmxccsixjwnz72hgedwu3rbth7s65bv3qhd4.py
2022-11-23T01:32:37.5295722Z [2022-11-23 01:21:46,909] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 203
2022-11-23T01:32:37.5295728Z 
2022-11-23T01:32:37.5295820Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5295888Z import torch
2022-11-23T01:32:37.5295957Z import random
2022-11-23T01:32:37.5296059Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5296180Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5296185Z 
2022-11-23T01:32:37.5296261Z aten = torch.ops.aten
2022-11-23T01:32:37.5296394Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5296485Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5296490Z 
2022-11-23T01:32:37.5296495Z 
2022-11-23T01:32:37.5296626Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5296829Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5296989Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:32:37.5297081Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.5297178Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.5297274Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.5297367Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:37.5297430Z {
2022-11-23T01:32:37.5297555Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5297616Z     {
2022-11-23T01:32:37.5297680Z         #pragma omp for 
2022-11-23T01:32:37.5297759Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.5297822Z         {
2022-11-23T01:32:37.5297901Z             #pragma GCC ivdep
2022-11-23T01:32:37.5297984Z             for(long i1=0; i1<64; i1+=1)
2022-11-23T01:32:37.5298046Z             {
2022-11-23T01:32:37.5298109Z                 {
2022-11-23T01:32:37.5298163Z                     {
2022-11-23T01:32:37.5298263Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.5298368Z                         auto tmp1 = in_ptr1[i1 + (64*tmp0)];
2022-11-23T01:32:37.5298466Z                         out_ptr0[i1 + (64*i0)] = tmp1;
2022-11-23T01:32:37.5298534Z                     }
2022-11-23T01:32:37.5298598Z                 }
2022-11-23T01:32:37.5298661Z             }
2022-11-23T01:32:37.5298710Z         }
2022-11-23T01:32:37.5298788Z         #pragma omp for 
2022-11-23T01:32:37.5298871Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.5298933Z         {
2022-11-23T01:32:37.5299011Z             #pragma GCC ivdep
2022-11-23T01:32:37.5299091Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:37.5299153Z             {
2022-11-23T01:32:37.5299221Z                 #pragma GCC ivdep
2022-11-23T01:32:37.5299308Z                 for(long i2=0; i2<8; i2+=1)
2022-11-23T01:32:37.5299372Z                 {
2022-11-23T01:32:37.5299439Z                     {
2022-11-23T01:32:37.5299507Z                         {
2022-11-23T01:32:37.5299604Z                             auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:37.5299702Z                             auto tmp1 = in_ptr1[i2 + (8*tmp0) + (64*i0)];
2022-11-23T01:32:37.5299804Z                             out_ptr1[i2 + (8*i1) + (32*i0)] = tmp1;
2022-11-23T01:32:37.5299871Z                         }
2022-11-23T01:32:37.5299936Z                     }
2022-11-23T01:32:37.5300000Z                 }
2022-11-23T01:32:37.5300062Z             }
2022-11-23T01:32:37.5300129Z         }
2022-11-23T01:32:37.5300192Z         #pragma omp for 
2022-11-23T01:32:37.5300272Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.5300333Z         {
2022-11-23T01:32:37.5300410Z             #pragma GCC ivdep
2022-11-23T01:32:37.5300489Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:37.5300551Z             {
2022-11-23T01:32:37.5300631Z                 #pragma GCC ivdep
2022-11-23T01:32:37.5300707Z                 for(long i2=0; i2<4; i2+=1)
2022-11-23T01:32:37.5300770Z                 {
2022-11-23T01:32:37.5300837Z                     {
2022-11-23T01:32:37.5300923Z                         {
2022-11-23T01:32:37.5301017Z                             auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:37.5301108Z                             auto tmp1 = in_ptr0[i2];
2022-11-23T01:32:37.5301223Z                             auto tmp2 = in_ptr1[tmp1 + (8*tmp0) + (64*i0)];
2022-11-23T01:32:37.5301313Z                             out_ptr2[i2 + (4*i1) + (16*i0)] = tmp2;
2022-11-23T01:32:37.5301380Z                         }
2022-11-23T01:32:37.5301445Z                     }
2022-11-23T01:32:37.5301507Z                 }
2022-11-23T01:32:37.5301569Z             }
2022-11-23T01:32:37.5301630Z         }
2022-11-23T01:32:37.5301691Z     }
2022-11-23T01:32:37.5301738Z }
2022-11-23T01:32:37.5301815Z ''')
2022-11-23T01:32:37.5301820Z 
2022-11-23T01:32:37.5301824Z 
2022-11-23T01:32:37.5301912Z async_compile.wait(globals())
2022-11-23T01:32:37.5301983Z del async_compile
2022-11-23T01:32:37.5301988Z 
2022-11-23T01:32:37.5302124Z def call(args):
2022-11-23T01:32:37.5302200Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.5302271Z     args.clear()
2022-11-23T01:32:37.5302466Z     buf0 = empty_strided((4, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5302664Z     buf1 = empty_strided((8, 4, 8), (32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5302858Z     buf2 = empty_strided((8, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5303100Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:37.5303173Z     del arg0_1
2022-11-23T01:32:37.5303239Z     del arg1_1
2022-11-23T01:32:37.5303324Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:37.5303329Z 
2022-11-23T01:32:37.5303333Z 
2022-11-23T01:32:37.5303411Z if __name__ == "__main__":
2022-11-23T01:32:37.5303512Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5303638Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5303842Z     arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5304030Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:37.5304144Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.5304149Z 
2022-11-23T01:32:37.5304153Z 
2022-11-23T01:32:37.5304245Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5304316Z import torch
2022-11-23T01:32:37.5304385Z import random
2022-11-23T01:32:37.5304565Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5304688Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5304693Z 
2022-11-23T01:32:37.5304771Z aten = torch.ops.aten
2022-11-23T01:32:37.5304904Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5304996Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5305001Z 
2022-11-23T01:32:37.5305009Z 
2022-11-23T01:32:37.5305144Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5305347Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5305466Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:37.5305558Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.5305657Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.5305755Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.5305848Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:37.5305911Z {
2022-11-23T01:32:37.5306010Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5306073Z     {
2022-11-23T01:32:37.5306137Z         #pragma omp for 
2022-11-23T01:32:37.5306219Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.5306283Z         {
2022-11-23T01:32:37.5306363Z             #pragma GCC ivdep
2022-11-23T01:32:37.5306447Z             for(long i1=0; i1<64; i1+=1)
2022-11-23T01:32:37.5306515Z             {
2022-11-23T01:32:37.5306580Z                 {
2022-11-23T01:32:37.5306633Z                     {
2022-11-23T01:32:37.5306729Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.5306833Z                         auto tmp1 = in_ptr1[i1 + (64*tmp0)];
2022-11-23T01:32:37.5306930Z                         out_ptr0[i1 + (64*i0)] = tmp1;
2022-11-23T01:32:37.5307001Z                     }
2022-11-23T01:32:37.5307066Z                 }
2022-11-23T01:32:37.5307133Z             }
2022-11-23T01:32:37.5307184Z         }
2022-11-23T01:32:37.5307261Z         #pragma omp for 
2022-11-23T01:32:37.5307343Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.5307406Z         {
2022-11-23T01:32:37.5307486Z             #pragma GCC ivdep
2022-11-23T01:32:37.5307569Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:37.5307619Z             {
2022-11-23T01:32:37.5307700Z                 #pragma GCC ivdep
2022-11-23T01:32:37.5307792Z                 for(long i2=0; i2<8; i2+=1)
2022-11-23T01:32:37.5307894Z                 {
2022-11-23T01:32:37.5307961Z                     {
2022-11-23T01:32:37.5308030Z                         {
2022-11-23T01:32:37.5308126Z                             auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:37.5308224Z                             auto tmp1 = in_ptr1[i2 + (8*tmp0) + (64*i0)];
2022-11-23T01:32:37.5308327Z                             out_ptr1[i2 + (8*i1) + (32*i0)] = tmp1;
2022-11-23T01:32:37.5308422Z                         }
2022-11-23T01:32:37.5308492Z                     }
2022-11-23T01:32:37.5308557Z                 }
2022-11-23T01:32:37.5308623Z             }
2022-11-23T01:32:37.5308686Z         }
2022-11-23T01:32:37.5308750Z         #pragma omp for 
2022-11-23T01:32:37.5308831Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.5308895Z         {
2022-11-23T01:32:37.5308981Z             #pragma GCC ivdep
2022-11-23T01:32:37.5309064Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:37.5309128Z             {
2022-11-23T01:32:37.5309213Z                 #pragma GCC ivdep
2022-11-23T01:32:37.5309289Z                 for(long i2=0; i2<4; i2+=1)
2022-11-23T01:32:37.5309354Z                 {
2022-11-23T01:32:37.5309420Z                     {
2022-11-23T01:32:37.5309489Z                         {
2022-11-23T01:32:37.5309587Z                             auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:37.5309682Z                             auto tmp1 = in_ptr0[i2];
2022-11-23T01:32:37.5309799Z                             auto tmp2 = in_ptr1[tmp1 + (8*tmp0) + (64*i0)];
2022-11-23T01:32:37.5309887Z                             out_ptr2[i2 + (4*i1) + (16*i0)] = tmp2;
2022-11-23T01:32:37.5309957Z                         }
2022-11-23T01:32:37.5310024Z                     }
2022-11-23T01:32:37.5310089Z                 }
2022-11-23T01:32:37.5310153Z             }
2022-11-23T01:32:37.5310216Z         }
2022-11-23T01:32:37.5310265Z     }
2022-11-23T01:32:37.5310326Z }
2022-11-23T01:32:37.5310404Z ''')
2022-11-23T01:32:37.5310411Z 
2022-11-23T01:32:37.5310417Z 
2022-11-23T01:32:37.5310505Z async_compile.wait(globals())
2022-11-23T01:32:37.5310578Z del async_compile
2022-11-23T01:32:37.5310583Z 
2022-11-23T01:32:37.5310653Z def call(args):
2022-11-23T01:32:37.5310726Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.5310796Z     args.clear()
2022-11-23T01:32:37.5310987Z     buf0 = empty_strided((4, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5311184Z     buf1 = empty_strided((8, 4, 8), (32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5311378Z     buf2 = empty_strided((8, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5311588Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:37.5311655Z     del arg0_1
2022-11-23T01:32:37.5311720Z     del arg1_1
2022-11-23T01:32:37.5311802Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:37.5311807Z 
2022-11-23T01:32:37.5311813Z 
2022-11-23T01:32:37.5311888Z if __name__ == "__main__":
2022-11-23T01:32:37.5311990Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5312112Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5312311Z     arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5312499Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.5312613Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.5312618Z 
2022-11-23T01:32:37.5312684Z ok (5.464s)
2022-11-23T01:32:37.5313017Z   test_indirect_load_broadcast_cpu (__main__.CpuTests) ... [2022-11-23 01:21:47,169] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5313285Z [2022-11-23 01:21:47,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5313490Z [2022-11-23 01:21:47,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5313772Z [2022-11-23 01:21:47,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.5314059Z [2022-11-23 01:21:47,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.5314407Z [2022-11-23 01:21:47,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5314730Z [2022-11-23 01:21:47,169] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6433420, file "inductor/test_torchinductor.py", line 3316> 
2022-11-23T01:32:37.5314826Z  3317           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5314919Z                2 LOAD_METHOD              1 (gather)
2022-11-23T01:32:37.5315013Z                4 LOAD_FAST                1 (in_ptr1)
2022-11-23T01:32:37.5315101Z                6 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5315184Z                8 LOAD_FAST                2 (in_ptr2)
2022-11-23T01:32:37.5315270Z               10 CALL_METHOD              3
2022-11-23T01:32:37.5315364Z               12 LOAD_FAST                0 (in_ptr0)
2022-11-23T01:32:37.5315438Z               14 BINARY_ADD
2022-11-23T01:32:37.5315513Z               16 RETURN_VALUE
2022-11-23T01:32:37.5315573Z  
2022-11-23T01:32:37.5315579Z 
2022-11-23T01:32:37.5315848Z [2022-11-23 01:21:47,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3317
2022-11-23T01:32:37.5316063Z [2022-11-23 01:21:47,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5316419Z [2022-11-23 01:21:47,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5316747Z [2022-11-23 01:21:47,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST in_ptr1 [TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.5317101Z [2022-11-23 01:21:47,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.5317615Z [2022-11-23 01:21:47,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST in_ptr2 [TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5318043Z [2022-11-23 01:21:47,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method gather of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.5318292Z [2022-11-23 01:21:47,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST in_ptr0 [TensorVariable()]
2022-11-23T01:32:37.5318563Z [2022-11-23 01:21:47,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5318811Z [2022-11-23 01:21:47,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5319141Z [2022-11-23 01:21:47,175] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6433420, file "inductor/test_torchinductor.py", line 3316>
2022-11-23T01:32:37.5319388Z [2022-11-23 01:21:47,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5319621Z [2022-11-23 01:21:47,175] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5319861Z [2022-11-23 01:21:47,178] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5320106Z [2022-11-23 01:21:47,186] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5320292Z [2022-11-23 01:21:47,186] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5320474Z  __compiled_fn_206 <eval_with_key>.1297 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5320564Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5320652Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.5320737Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.5320984Z call_function, gather, <built-in method gather of type object at 0x7f71f2abebc0>, (ex_1_, 0, ex_2_), {}
2022-11-23T01:32:37.5321187Z call_function, add, <built-in function add>, (gather, ex_0_), {}
2022-11-23T01:32:37.5321284Z output, output, output, ((add,),), {}
2022-11-23T01:32:37.5321290Z 
2022-11-23T01:32:37.5321565Z [2022-11-23 01:21:47,187] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5321659Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5321752Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5321845Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5321938Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5322015Z               8 RETURN_VALUE
2022-11-23T01:32:37.5322020Z 
2022-11-23T01:32:37.5322068Z  
2022-11-23T01:32:37.5322342Z [2022-11-23 01:21:47,187] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5322448Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_206)
2022-11-23T01:32:37.5322537Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5322626Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5322702Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5322790Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5322863Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5322937Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.5323023Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5323107Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.5323183Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.5323268Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.5323356Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.5323418Z              24 RETURN_VALUE
2022-11-23T01:32:37.5323423Z 
2022-11-23T01:32:37.5323483Z  
2022-11-23T01:32:37.5323661Z [2022-11-23 01:21:47,188] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5323729Z  - 
2022-11-23T01:32:37.5323847Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5323913Z             {
2022-11-23T01:32:37.5324051Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5324223Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 3'],
2022-11-23T01:32:37.5324339Z                 'obj_weakref': None
2022-11-23T01:32:37.5324560Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5324623Z             }
2022-11-23T01:32:37.5324685Z             
2022-11-23T01:32:37.5324753Z  - 
2022-11-23T01:32:37.5324875Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5324926Z             {
2022-11-23T01:32:37.5325068Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5325173Z                 'code': None,
2022-11-23T01:32:37.5325379Z                 'obj_weakref': <weakref at 0x7f7106dbfb30; to 'Tensor' at 0x7f7106e19dd0>
2022-11-23T01:32:37.5325627Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5325691Z             }
2022-11-23T01:32:37.5325753Z             
2022-11-23T01:32:37.5325807Z  - 
2022-11-23T01:32:37.5325929Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.5325991Z             {
2022-11-23T01:32:37.5326131Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5326238Z                 'code': None,
2022-11-23T01:32:37.5326439Z                 'obj_weakref': <weakref at 0x7f7106e25d10; to 'Tensor' at 0x7f7106e19c50>
2022-11-23T01:32:37.5326719Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5326782Z             }
2022-11-23T01:32:37.5326832Z             
2022-11-23T01:32:37.5326902Z  - 
2022-11-23T01:32:37.5327022Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.5327084Z             {
2022-11-23T01:32:37.5327221Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5327326Z                 'code': None,
2022-11-23T01:32:37.5327550Z                 'obj_weakref': <weakref at 0x7f7106cfba70; to 'Tensor' at 0x7f71066cc0b0>
2022-11-23T01:32:37.5327795Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5327856Z             }
2022-11-23T01:32:37.5327918Z             
2022-11-23T01:32:37.5327987Z  - 
2022-11-23T01:32:37.5328117Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.5328178Z             {
2022-11-23T01:32:37.5328302Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5328469Z                 'code': ['___check_obj_id(model, 140123421247824)'],
2022-11-23T01:32:37.5328588Z                 'obj_weakref': None
2022-11-23T01:32:37.5328815Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.5328878Z             }
2022-11-23T01:32:37.5328941Z             
2022-11-23T01:32:37.5329008Z  - 
2022-11-23T01:32:37.5329118Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5329180Z             {
2022-11-23T01:32:37.5329313Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5329529Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5329648Z                 'obj_weakref': None
2022-11-23T01:32:37.5329870Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5329934Z             }
2022-11-23T01:32:37.5329986Z             
2022-11-23T01:32:37.5330055Z  - 
2022-11-23T01:32:37.5330189Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.5330253Z             {
2022-11-23T01:32:37.5330372Z                 'guard_types': None,
2022-11-23T01:32:37.5330477Z                 'code': None,
2022-11-23T01:32:37.5330594Z                 'obj_weakref': None
2022-11-23T01:32:37.5330699Z                 'guarded_class': None
2022-11-23T01:32:37.5330762Z             }
2022-11-23T01:32:37.5330826Z             
2022-11-23T01:32:37.5331082Z [2022-11-23 01:21:47,203] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 204
2022-11-23T01:32:37.5331452Z [2022-11-23 01:21:49,754] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kd/ckd7zcpsoyponx7v7ag3nkgadiooe2nok5gbm2kui5osxfpt67xb.py
2022-11-23T01:32:37.5331712Z [2022-11-23 01:21:49,754] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 204
2022-11-23T01:32:37.5331717Z 
2022-11-23T01:32:37.5331812Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5331880Z import torch
2022-11-23T01:32:37.5331935Z import random
2022-11-23T01:32:37.5332048Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5332168Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5332173Z 
2022-11-23T01:32:37.5332250Z aten = torch.ops.aten
2022-11-23T01:32:37.5332383Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5332475Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5332480Z 
2022-11-23T01:32:37.5332484Z 
2022-11-23T01:32:37.5332616Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5332819Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5332925Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:37.5333028Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.5333129Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.5333255Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.5333316Z {
2022-11-23T01:32:37.5333413Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5333474Z     {
2022-11-23T01:32:37.5333538Z         #pragma omp for 
2022-11-23T01:32:37.5333619Z         for(long i0=0; i0<21; i0+=1)
2022-11-23T01:32:37.5333681Z         {
2022-11-23T01:32:37.5333760Z             #pragma GCC ivdep
2022-11-23T01:32:37.5333870Z             for(long i1=0; i1<32; i1+=1)
2022-11-23T01:32:37.5333933Z             {
2022-11-23T01:32:37.5333997Z                 {
2022-11-23T01:32:37.5334051Z                     {
2022-11-23T01:32:37.5334152Z                         auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:32:37.5334245Z                         auto tmp2 = in_ptr2[i1];
2022-11-23T01:32:37.5334347Z                         auto tmp1 = in_ptr1[i0 + (512*tmp0)];
2022-11-23T01:32:37.5334439Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:37.5334536Z                         out_ptr0[i1 + (32*i0)] = tmp3;
2022-11-23T01:32:37.5334602Z                     }
2022-11-23T01:32:37.5334654Z                 }
2022-11-23T01:32:37.5334716Z             }
2022-11-23T01:32:37.5334779Z         }
2022-11-23T01:32:37.5334840Z     }
2022-11-23T01:32:37.5334899Z }
2022-11-23T01:32:37.5334975Z ''')
2022-11-23T01:32:37.5334981Z 
2022-11-23T01:32:37.5334986Z 
2022-11-23T01:32:37.5335075Z async_compile.wait(globals())
2022-11-23T01:32:37.5335133Z del async_compile
2022-11-23T01:32:37.5335141Z 
2022-11-23T01:32:37.5335209Z def call(args):
2022-11-23T01:32:37.5335291Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.5335361Z     args.clear()
2022-11-23T01:32:37.5335561Z     buf0 = empty_strided((32, 21), (1, 32), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5335747Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.5335814Z     del arg0_1
2022-11-23T01:32:37.5335869Z     del arg1_1
2022-11-23T01:32:37.5335933Z     del arg2_1
2022-11-23T01:32:37.5336003Z     return (buf0, )
2022-11-23T01:32:37.5336007Z 
2022-11-23T01:32:37.5336011Z 
2022-11-23T01:32:37.5336086Z if __name__ == "__main__":
2022-11-23T01:32:37.5336199Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5336320Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5336517Z     arg0_1 = rand_strided((32, 1), (1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5336727Z     arg1_1 = rand_strided((9521, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5336909Z     arg2_1 = rand_strided((32, 21), (1, 32), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.5337030Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.5337036Z 
2022-11-23T01:32:37.5337103Z ok (2.857s)
2022-11-23T01:32:37.5337399Z   test_inf_cpu (__main__.CpuTests) ... [2022-11-23 01:21:49,781] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5337668Z [2022-11-23 01:21:49,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5337882Z [2022-11-23 01:21:49,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5338132Z [2022-11-23 01:21:49,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.5338418Z [2022-11-23 01:21:49,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.5338741Z [2022-11-23 01:21:49,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5339052Z [2022-11-23 01:21:49,782] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6423390, file "inductor/test_torchinductor.py", line 2753> 
2022-11-23T01:32:37.5339145Z  2754           0 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5339285Z                2 LOAD_GLOBAL              0 (float)
2022-11-23T01:32:37.5339425Z                4 LOAD_CONST               1 ('inf')
2022-11-23T01:32:37.5339515Z                6 CALL_FUNCTION            1
2022-11-23T01:32:37.5339587Z                8 BINARY_ADD
2022-11-23T01:32:37.5339676Z               10 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5339767Z               12 LOAD_GLOBAL              0 (float)
2022-11-23T01:32:37.5339922Z               14 LOAD_CONST               2 ('-inf')
2022-11-23T01:32:37.5340013Z               16 CALL_FUNCTION            1
2022-11-23T01:32:37.5340086Z               18 BINARY_ADD
2022-11-23T01:32:37.5340174Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5340264Z               22 LOAD_GLOBAL              0 (float)
2022-11-23T01:32:37.5340401Z               24 LOAD_CONST               1 ('inf')
2022-11-23T01:32:37.5340490Z               26 CALL_FUNCTION            1
2022-11-23T01:32:37.5340558Z               28 UNARY_NEGATIVE
2022-11-23T01:32:37.5340639Z               30 BINARY_MULTIPLY
2022-11-23T01:32:37.5340727Z               32 BUILD_TUPLE              3
2022-11-23T01:32:37.5340803Z               34 RETURN_VALUE
2022-11-23T01:32:37.5340866Z  
2022-11-23T01:32:37.5340871Z 
2022-11-23T01:32:37.5341141Z [2022-11-23 01:21:49,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2754
2022-11-23T01:32:37.5341350Z [2022-11-23 01:21:49,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5341585Z [2022-11-23 01:21:49,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TensorVariable()]
2022-11-23T01:32:37.5341862Z [2022-11-23 01:21:49,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST inf [TensorVariable(), BuiltinVariable(float)]
2022-11-23T01:32:37.5342179Z [2022-11-23 01:21:49,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:32:37.5342463Z [2022-11-23 01:21:49,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.5342697Z [2022-11-23 01:21:49,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:37.5342963Z [2022-11-23 01:21:49,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5343272Z [2022-11-23 01:21:49,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -inf [TensorVariable(), TensorVariable(), BuiltinVariable(float)]
2022-11-23T01:32:37.5343616Z [2022-11-23 01:21:49,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:32:37.5343925Z [2022-11-23 01:21:49,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.5344188Z [2022-11-23 01:21:49,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5344560Z [2022-11-23 01:21:49,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5344884Z [2022-11-23 01:21:49,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST inf [TensorVariable(), TensorVariable(), TensorVariable(), BuiltinVariable(float)]
2022-11-23T01:32:37.5345260Z [2022-11-23 01:21:49,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:32:37.5345607Z [2022-11-23 01:21:49,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNARY_NEGATIVE None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.5345960Z [2022-11-23 01:21:49,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.5346289Z [2022-11-23 01:21:49,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5346536Z [2022-11-23 01:21:49,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.5346893Z [2022-11-23 01:21:49,793] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6423390, file "inductor/test_torchinductor.py", line 2753>
2022-11-23T01:32:37.5347137Z [2022-11-23 01:21:49,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.5347371Z [2022-11-23 01:21:49,794] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5347624Z [2022-11-23 01:21:49,796] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5347873Z [2022-11-23 01:21:49,804] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5348049Z [2022-11-23 01:21:49,805] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5348183Z  __compiled_fn_207 <eval_with_key>.1303 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5348275Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5348450Z call_function, add, <built-in function add>, (ex_0_, inf), {}
2022-11-23T01:32:37.5348630Z call_function, add_1, <built-in function add>, (ex_0_, -inf), {}
2022-11-23T01:32:37.5348806Z call_function, mul, <built-in function mul>, (ex_0_, -inf), {}
2022-11-23T01:32:37.5348914Z output, output, output, ((add, add_1, mul),), {}
2022-11-23T01:32:37.5348920Z 
2022-11-23T01:32:37.5349196Z [2022-11-23 01:21:49,806] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5349277Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5349372Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5349468Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5349558Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5349637Z               8 RETURN_VALUE
2022-11-23T01:32:37.5349642Z 
2022-11-23T01:32:37.5349704Z  
2022-11-23T01:32:37.5349982Z [2022-11-23 01:21:49,806] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5350076Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_207)
2022-11-23T01:32:37.5350167Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5350256Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5350334Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5350423Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.5350530Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.5350633Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5350724Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5350788Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.5350888Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5350976Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5351053Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.5351154Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5351245Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:37.5351321Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.5351396Z              30 BUILD_TUPLE              3
2022-11-23T01:32:37.5351472Z              32 RETURN_VALUE
2022-11-23T01:32:37.5351476Z 
2022-11-23T01:32:37.5351538Z  
2022-11-23T01:32:37.5351719Z [2022-11-23 01:21:49,808] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5351790Z  - 
2022-11-23T01:32:37.5351910Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5352004Z             {
2022-11-23T01:32:37.5352131Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5352317Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.5352438Z                 'obj_weakref': None
2022-11-23T01:32:37.5352661Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5352725Z             }
2022-11-23T01:32:37.5352791Z             
2022-11-23T01:32:37.5352887Z  - 
2022-11-23T01:32:37.5352997Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5353059Z             {
2022-11-23T01:32:37.5353199Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5353304Z                 'code': None,
2022-11-23T01:32:37.5353513Z                 'obj_weakref': <weakref at 0x7f7106db2830; to 'Tensor' at 0x7f7129eae230>
2022-11-23T01:32:37.5353758Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5353823Z             }
2022-11-23T01:32:37.5353873Z             
2022-11-23T01:32:37.5353941Z  - 
2022-11-23T01:32:37.5354068Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.5354131Z             {
2022-11-23T01:32:37.5354261Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5354429Z                 'code': ['___check_obj_id(model, 140126549108784)'],
2022-11-23T01:32:37.5354549Z                 'obj_weakref': None
2022-11-23T01:32:37.5354765Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.5354827Z             }
2022-11-23T01:32:37.5354888Z             
2022-11-23T01:32:37.5354955Z  - 
2022-11-23T01:32:37.5355075Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5355138Z             {
2022-11-23T01:32:37.5355274Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5355477Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5355595Z                 'obj_weakref': None
2022-11-23T01:32:37.5355812Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5355874Z             }
2022-11-23T01:32:37.5355936Z             
2022-11-23T01:32:37.5356003Z  - 
2022-11-23T01:32:37.5356132Z             global 'float' BUILTIN_MATCH
2022-11-23T01:32:37.5356182Z             {
2022-11-23T01:32:37.5356301Z                 'guard_types': None,
2022-11-23T01:32:37.5356407Z                 'code': None,
2022-11-23T01:32:37.5356522Z                 'obj_weakref': None
2022-11-23T01:32:37.5356643Z                 'guarded_class': None
2022-11-23T01:32:37.5356706Z             }
2022-11-23T01:32:37.5356768Z             
2022-11-23T01:32:37.5357014Z [2022-11-23 01:21:49,821] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 205
2022-11-23T01:32:37.5357565Z [2022-11-23 01:21:52,433] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ak/cak335uzanbvgsw6hot4ddicqpgde22plmo6wesoypjqglbhr3kk.py
2022-11-23T01:32:37.5357833Z [2022-11-23 01:21:52,433] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 205
2022-11-23T01:32:37.5357838Z 
2022-11-23T01:32:37.5357932Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5358001Z import torch
2022-11-23T01:32:37.5358071Z import random
2022-11-23T01:32:37.5358187Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5358311Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5358316Z 
2022-11-23T01:32:37.5358380Z aten = torch.ops.aten
2022-11-23T01:32:37.5358514Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5358606Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5358611Z 
2022-11-23T01:32:37.5358616Z 
2022-11-23T01:32:37.5358749Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5358953Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5359133Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.5359232Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.5359328Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.5359408Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:37.5359469Z {
2022-11-23T01:32:37.5359568Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5359631Z     {
2022-11-23T01:32:37.5359745Z         #pragma omp for 
2022-11-23T01:32:37.5359829Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.5359879Z         {
2022-11-23T01:32:37.5359942Z             {
2022-11-23T01:32:37.5360007Z                 {
2022-11-23T01:32:37.5360099Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.5360243Z                     auto tmp1 = std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.5360334Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.5360577Z                     auto tmp3 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.5360668Z                     auto tmp4 = tmp0 + tmp3;
2022-11-23T01:32:37.5360744Z                     auto tmp5 = tmp0 * tmp3;
2022-11-23T01:32:37.5360829Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.5360914Z                     out_ptr1[i0] = tmp4;
2022-11-23T01:32:37.5360995Z                     out_ptr2[i0] = tmp5;
2022-11-23T01:32:37.5361060Z                 }
2022-11-23T01:32:37.5361125Z             }
2022-11-23T01:32:37.5361187Z         }
2022-11-23T01:32:37.5361236Z     }
2022-11-23T01:32:37.5361299Z }
2022-11-23T01:32:37.5361376Z ''')
2022-11-23T01:32:37.5361381Z 
2022-11-23T01:32:37.5361385Z 
2022-11-23T01:32:37.5361476Z async_compile.wait(globals())
2022-11-23T01:32:37.5361547Z del async_compile
2022-11-23T01:32:37.5361551Z 
2022-11-23T01:32:37.5361620Z def call(args):
2022-11-23T01:32:37.5361688Z     arg0_1, = args
2022-11-23T01:32:37.5361746Z     args.clear()
2022-11-23T01:32:37.5361937Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5362126Z     buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5362310Z     buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5362540Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:37.5362606Z     del arg0_1
2022-11-23T01:32:37.5362691Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:37.5362697Z 
2022-11-23T01:32:37.5362701Z 
2022-11-23T01:32:37.5362775Z if __name__ == "__main__":
2022-11-23T01:32:37.5362876Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5362998Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5363185Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5363291Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.5363298Z 
2022-11-23T01:32:37.5363363Z ok (2.666s)
2022-11-23T01:32:37.5363688Z   test_inplace_activations_cpu (__main__.CpuTests) ... [2022-11-23 01:21:52,450] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5363957Z [2022-11-23 01:21:52,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5364170Z [2022-11-23 01:21:52,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5364412Z [2022-11-23 01:21:52,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.5364694Z [2022-11-23 01:21:52,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.5365015Z [2022-11-23 01:21:52,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5365339Z [2022-11-23 01:21:52,452] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6433c90, file "inductor/test_torchinductor.py", line 3396> 
2022-11-23T01:32:37.5365466Z  3397           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.5365570Z                2 LOAD_METHOD              1 (hardswish_)
2022-11-23T01:32:37.5365663Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5365752Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:37.5365859Z                8 BINARY_ADD
2022-11-23T01:32:37.5365937Z               10 CALL_METHOD              1
2022-11-23T01:32:37.5366027Z               12 STORE_FAST               1 (a)
2022-11-23T01:32:37.5366032Z 
2022-11-23T01:32:37.5366123Z 3398          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.5366221Z               16 LOAD_METHOD              2 (hardtanh_)
2022-11-23T01:32:37.5366309Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5366396Z               20 LOAD_CONST               1 (1)
2022-11-23T01:32:37.5366470Z               22 BINARY_ADD
2022-11-23T01:32:37.5366543Z               24 CALL_METHOD              1
2022-11-23T01:32:37.5366632Z               26 STORE_FAST               2 (b)
2022-11-23T01:32:37.5366637Z 
2022-11-23T01:32:37.5366727Z 3399          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.5366825Z               30 LOAD_METHOD              3 (leaky_relu_)
2022-11-23T01:32:37.5366910Z               32 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5366997Z               34 LOAD_CONST               1 (1)
2022-11-23T01:32:37.5367069Z               36 BINARY_ADD
2022-11-23T01:32:37.5367143Z               38 CALL_METHOD              1
2022-11-23T01:32:37.5367228Z               40 STORE_FAST               3 (c)
2022-11-23T01:32:37.5367233Z 
2022-11-23T01:32:37.5367325Z 3400          42 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.5367415Z               44 LOAD_METHOD              4 (silu_)
2022-11-23T01:32:37.5367498Z               46 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5367585Z               48 LOAD_CONST               1 (1)
2022-11-23T01:32:37.5367656Z               50 BINARY_ADD
2022-11-23T01:32:37.5367743Z               52 CALL_METHOD              1
2022-11-23T01:32:37.5367817Z               54 STORE_FAST               4 (d)
2022-11-23T01:32:37.5367821Z 
2022-11-23T01:32:37.5367910Z 3401          56 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.5368001Z               58 LOAD_METHOD              5 (log1p)
2022-11-23T01:32:37.5368088Z               60 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5368172Z               62 LOAD_CONST               1 (1)
2022-11-23T01:32:37.5368242Z               64 BINARY_ADD
2022-11-23T01:32:37.5368327Z               66 CALL_METHOD              1
2022-11-23T01:32:37.5368401Z               68 STORE_FAST               5 (e)
2022-11-23T01:32:37.5368417Z 
2022-11-23T01:32:37.5368497Z 3402          70 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.5368597Z               72 LOAD_METHOD              6 (masked_fill_)
2022-11-23T01:32:37.5368682Z               74 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5368768Z               76 LOAD_CONST               1 (1)
2022-11-23T01:32:37.5368839Z               78 BINARY_ADD
2022-11-23T01:32:37.5368930Z               80 LOAD_GLOBAL              7 (torch)
2022-11-23T01:32:37.5369027Z               82 LOAD_ATTR                8 (zeros_like)
2022-11-23T01:32:37.5369101Z               84 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5369192Z               86 LOAD_GLOBAL              7 (torch)
2022-11-23T01:32:37.5369281Z               88 LOAD_ATTR                9 (bool)
2022-11-23T01:32:37.5369429Z               90 LOAD_CONST               2 (('dtype',))
2022-11-23T01:32:37.5369520Z               92 CALL_FUNCTION_KW         2
2022-11-23T01:32:37.5369609Z               94 LOAD_CONST               3 (99.0)
2022-11-23T01:32:37.5369695Z               96 CALL_METHOD              3
2022-11-23T01:32:37.5369770Z               98 STORE_FAST               6 (f)
2022-11-23T01:32:37.5369806Z 
2022-11-23T01:32:37.5369897Z 3403         100 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.5369997Z              102 LOAD_METHOD              6 (masked_fill_)
2022-11-23T01:32:37.5370082Z              104 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5370168Z              106 LOAD_CONST               1 (1)
2022-11-23T01:32:37.5370240Z              108 BINARY_ADD
2022-11-23T01:32:37.5370330Z              110 LOAD_GLOBAL              7 (torch)
2022-11-23T01:32:37.5370450Z              112 LOAD_ATTR               10 (ones_like)
2022-11-23T01:32:37.5370525Z              114 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5370612Z              116 LOAD_GLOBAL              7 (torch)
2022-11-23T01:32:37.5370698Z              118 LOAD_ATTR                9 (bool)
2022-11-23T01:32:37.5370844Z              120 LOAD_CONST               2 (('dtype',))
2022-11-23T01:32:37.5370933Z              122 CALL_FUNCTION_KW         2
2022-11-23T01:32:37.5371021Z              124 LOAD_CONST               3 (99.0)
2022-11-23T01:32:37.5371109Z              126 CALL_METHOD              3
2022-11-23T01:32:37.5371185Z              128 STORE_FAST               7 (h)
2022-11-23T01:32:37.5371189Z 
2022-11-23T01:32:37.5371274Z 3404         130 LOAD_FAST                1 (a)
2022-11-23T01:32:37.5371360Z              132 LOAD_FAST                2 (b)
2022-11-23T01:32:37.5371444Z              134 LOAD_FAST                3 (c)
2022-11-23T01:32:37.5371530Z              136 LOAD_FAST                4 (d)
2022-11-23T01:32:37.5371613Z              138 LOAD_FAST                5 (e)
2022-11-23T01:32:37.5371697Z              140 LOAD_FAST                6 (f)
2022-11-23T01:32:37.5371768Z              142 LOAD_FAST                7 (h)
2022-11-23T01:32:37.5371856Z              144 BUILD_TUPLE              7
2022-11-23T01:32:37.5371929Z              146 RETURN_VALUE
2022-11-23T01:32:37.5371989Z  
2022-11-23T01:32:37.5371993Z 
2022-11-23T01:32:37.5372262Z [2022-11-23 01:21:52,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3397
2022-11-23T01:32:37.5372481Z [2022-11-23 01:21:52,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.5372796Z [2022-11-23 01:21:52,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5373057Z [2022-11-23 01:21:52,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.hardswish_)]
2022-11-23T01:32:37.5373342Z [2022-11-23 01:21:52,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.hardswish_), TensorVariable()]
2022-11-23T01:32:37.5373660Z [2022-11-23 01:21:52,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.hardswish_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5373952Z [2022-11-23 01:21:52,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.hardswish_), TensorVariable()]
2022-11-23T01:32:37.5374191Z [2022-11-23 01:21:52,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:37.5374455Z [2022-11-23 01:21:52,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3398
2022-11-23T01:32:37.5374669Z [2022-11-23 01:21:52,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.5374981Z [2022-11-23 01:21:52,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5375235Z [2022-11-23 01:21:52,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.hardtanh_)]
2022-11-23T01:32:37.5375519Z [2022-11-23 01:21:52,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.hardtanh_), TensorVariable()]
2022-11-23T01:32:37.5375846Z [2022-11-23 01:21:52,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.hardtanh_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5376170Z [2022-11-23 01:21:52,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.hardtanh_), TensorVariable()]
2022-11-23T01:32:37.5376395Z [2022-11-23 01:21:52,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:32:37.5376685Z [2022-11-23 01:21:52,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3399
2022-11-23T01:32:37.5376900Z [2022-11-23 01:21:52,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.5377209Z [2022-11-23 01:21:52,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR leaky_relu_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5377462Z [2022-11-23 01:21:52,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.leaky_relu_)]
2022-11-23T01:32:37.5377748Z [2022-11-23 01:21:52,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.leaky_relu_), TensorVariable()]
2022-11-23T01:32:37.5378077Z [2022-11-23 01:21:52,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.leaky_relu_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5378363Z [2022-11-23 01:21:52,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.leaky_relu_), TensorVariable()]
2022-11-23T01:32:37.5378598Z [2022-11-23 01:21:52,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:32:37.5378863Z [2022-11-23 01:21:52,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3400
2022-11-23T01:32:37.5379063Z [2022-11-23 01:21:52,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.5379362Z [2022-11-23 01:21:52,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR silu_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5379611Z [2022-11-23 01:21:52,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.silu_)]
2022-11-23T01:32:37.5379892Z [2022-11-23 01:21:52,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.silu_), TensorVariable()]
2022-11-23T01:32:37.5380214Z [2022-11-23 01:21:52,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.silu_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5380496Z [2022-11-23 01:21:52,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.silu_), TensorVariable()]
2022-11-23T01:32:37.5380732Z [2022-11-23 01:21:52,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()]
2022-11-23T01:32:37.5380991Z [2022-11-23 01:21:52,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3401
2022-11-23T01:32:37.5381203Z [2022-11-23 01:21:52,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.5381509Z [2022-11-23 01:21:52,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log1p [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5381745Z [2022-11-23 01:21:52,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.log1p)]
2022-11-23T01:32:37.5382025Z [2022-11-23 01:21:52,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.log1p), TensorVariable()]
2022-11-23T01:32:37.5382352Z [2022-11-23 01:21:52,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.log1p), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5382632Z [2022-11-23 01:21:52,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.log1p), TensorVariable()]
2022-11-23T01:32:37.5382867Z [2022-11-23 01:21:52,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [TensorVariable()]
2022-11-23T01:32:37.5383174Z [2022-11-23 01:21:52,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3402
2022-11-23T01:32:37.5383387Z [2022-11-23 01:21:52,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.5383699Z [2022-11-23 01:21:52,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5383986Z [2022-11-23 01:21:52,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_)]
2022-11-23T01:32:37.5384275Z [2022-11-23 01:21:52,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.masked_fill_), TensorVariable()]
2022-11-23T01:32:37.5384701Z [2022-11-23 01:21:52,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.masked_fill_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5385004Z [2022-11-23 01:21:52,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable()]
2022-11-23T01:32:37.5385463Z [2022-11-23 01:21:52,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros_like [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5385878Z [2022-11-23 01:21:52,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.5386328Z [2022-11-23 01:21:52,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.5386915Z [2022-11-23 01:21:52,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7f71f2abebc0>), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5387418Z [2022-11-23 01:21:52,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:32:37.5387949Z [2022-11-23 01:21:52,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method zeros_like of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(dtype), ConstantVariable(tuple)]
2022-11-23T01:32:37.5388272Z [2022-11-23 01:21:52,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5388635Z [2022-11-23 01:21:52,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.5388871Z [2022-11-23 01:21:52,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST f [TensorVariable()]
2022-11-23T01:32:37.5389140Z [2022-11-23 01:21:52,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3403
2022-11-23T01:32:37.5389355Z [2022-11-23 01:21:52,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.5389669Z [2022-11-23 01:21:52,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5389914Z [2022-11-23 01:21:52,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_)]
2022-11-23T01:32:37.5390201Z [2022-11-23 01:21:52,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.masked_fill_), TensorVariable()]
2022-11-23T01:32:37.5390568Z [2022-11-23 01:21:52,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.masked_fill_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5390864Z [2022-11-23 01:21:52,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable()]
2022-11-23T01:32:37.5391340Z [2022-11-23 01:21:52,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones_like [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5391749Z [2022-11-23 01:21:52,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.5392194Z [2022-11-23 01:21:52,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.5392786Z [2022-11-23 01:21:52,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7f71f2abebc0>), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5393283Z [2022-11-23 01:21:52,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:32:37.5393809Z [2022-11-23 01:21:52,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(<built-in method ones_like of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(dtype), ConstantVariable(tuple)]
2022-11-23T01:32:37.5394131Z [2022-11-23 01:21:52,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5394494Z [2022-11-23 01:21:52,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.5394732Z [2022-11-23 01:21:52,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST h [TensorVariable()]
2022-11-23T01:32:37.5394998Z [2022-11-23 01:21:52,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3404
2022-11-23T01:32:37.5395206Z [2022-11-23 01:21:52,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5395429Z [2022-11-23 01:21:52,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:37.5395698Z [2022-11-23 01:21:52,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5395988Z [2022-11-23 01:21:52,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5396308Z [2022-11-23 01:21:52,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5396652Z [2022-11-23 01:21:52,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST f [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5397025Z [2022-11-23 01:21:52,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST h [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5397594Z [2022-11-23 01:21:52,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 7 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5397841Z [2022-11-23 01:21:52,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.5398255Z [2022-11-23 01:21:52,623] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6433c90, file "inductor/test_torchinductor.py", line 3396>
2022-11-23T01:32:37.5398504Z [2022-11-23 01:21:52,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.5398740Z [2022-11-23 01:21:52,623] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5398985Z [2022-11-23 01:21:52,627] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5399235Z [2022-11-23 01:21:52,654] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5399425Z [2022-11-23 01:21:52,655] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5399561Z  __compiled_fn_208 <eval_with_key>.1309 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5399652Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5399825Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.5399947Z call_function, hardswish_, aten.hardswish_, (add,), {}
2022-11-23T01:32:37.5400121Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.5400225Z call_function, hardtanh_, aten.hardtanh_, (add_1,), {}
2022-11-23T01:32:37.5400396Z call_function, add_2, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.5400518Z call_function, leaky_relu_, aten.leaky_relu_, (add_2,), {}
2022-11-23T01:32:37.5400689Z call_function, add_3, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.5400793Z call_function, silu_, aten.silu_, (add_3,), {}
2022-11-23T01:32:37.5400967Z call_function, add_4, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.5401074Z call_function, log1p, aten.log1p, (add_4,), {}
2022-11-23T01:32:37.5401229Z call_function, add_5, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.5401503Z call_function, zeros_like, <built-in method zeros_like of type object at 0x7f71f2abebc0>, (ex_0_,), {'dtype': torch.bool}
2022-11-23T01:32:37.5401645Z call_function, masked_fill_, aten.masked_fill_, (add_5, zeros_like, 99.0), {}
2022-11-23T01:32:37.5401814Z call_function, add_6, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.5402086Z call_function, ones_like, <built-in method ones_like of type object at 0x7f71f2abebc0>, (ex_0_,), {'dtype': torch.bool}
2022-11-23T01:32:37.5402226Z call_function, masked_fill__1, aten.masked_fill_, (add_6, ones_like, 99.0), {}
2022-11-23T01:32:37.5402400Z output, output, output, ((hardswish_, hardtanh_, leaky_relu_, silu_, log1p, masked_fill_, masked_fill__1),), {}
2022-11-23T01:32:37.5402409Z 
2022-11-23T01:32:37.5402686Z [2022-11-23 01:21:52,655] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5402782Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5402859Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5402948Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5403042Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5403119Z               8 RETURN_VALUE
2022-11-23T01:32:37.5403125Z 
2022-11-23T01:32:37.5403190Z  
2022-11-23T01:32:37.5408874Z [2022-11-23 01:21:52,656] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5409016Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_208)
2022-11-23T01:32:37.5409095Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5409189Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5409362Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5409453Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.5409559Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.5409661Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5409749Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5409826Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.5409946Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5410036Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5410113Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.5410216Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5410304Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:37.5410381Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.5410480Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5410555Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:37.5410632Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.5410730Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5410817Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:37.5410892Z              40 BINARY_SUBSCR
2022-11-23T01:32:37.5410991Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5411076Z              44 LOAD_CONST               6 (5)
2022-11-23T01:32:37.5411140Z              46 BINARY_SUBSCR
2022-11-23T01:32:37.5411238Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5411323Z              50 LOAD_CONST               7 (6)
2022-11-23T01:32:37.5411398Z              52 BINARY_SUBSCR
2022-11-23T01:32:37.5411485Z              54 BUILD_TUPLE              7
2022-11-23T01:32:37.5411558Z              56 RETURN_VALUE
2022-11-23T01:32:37.5411565Z 
2022-11-23T01:32:37.5411625Z  
2022-11-23T01:32:37.5411825Z [2022-11-23 01:21:52,657] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5411894Z  - 
2022-11-23T01:32:37.5412014Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5412077Z             {
2022-11-23T01:32:37.5412218Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5412420Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.5412537Z                 'obj_weakref': None
2022-11-23T01:32:37.5412752Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5412814Z             }
2022-11-23T01:32:37.5412878Z             
2022-11-23T01:32:37.5412947Z  - 
2022-11-23T01:32:37.5413072Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5413136Z             {
2022-11-23T01:32:37.5413279Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5413373Z                 'code': None,
2022-11-23T01:32:37.5413582Z                 'obj_weakref': <weakref at 0x7f7106cfbfb0; to 'Tensor' at 0x7f7106cfbcb0>
2022-11-23T01:32:37.5413838Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5413902Z             }
2022-11-23T01:32:37.5413965Z             
2022-11-23T01:32:37.5414033Z  - 
2022-11-23T01:32:37.5414162Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.5414212Z             {
2022-11-23T01:32:37.5414344Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5414515Z                 'code': ['___check_obj_id(model, 140123422276208)'],
2022-11-23T01:32:37.5414632Z                 'obj_weakref': None
2022-11-23T01:32:37.5414862Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.5414926Z             }
2022-11-23T01:32:37.5414988Z             
2022-11-23T01:32:37.5415044Z  - 
2022-11-23T01:32:37.5415163Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5415225Z             {
2022-11-23T01:32:37.5415359Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5415608Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5415725Z                 'obj_weakref': None
2022-11-23T01:32:37.5415943Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5415994Z             }
2022-11-23T01:32:37.5416055Z             
2022-11-23T01:32:37.5416121Z  - 
2022-11-23T01:32:37.5416277Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.5416342Z             {
2022-11-23T01:32:37.5416460Z                 'guard_types': None,
2022-11-23T01:32:37.5416566Z                 'code': None,
2022-11-23T01:32:37.5416668Z                 'obj_weakref': None
2022-11-23T01:32:37.5416787Z                 'guarded_class': None
2022-11-23T01:32:37.5416849Z             }
2022-11-23T01:32:37.5416910Z             
2022-11-23T01:32:37.5416977Z  - 
2022-11-23T01:32:37.5417107Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.5417172Z             {
2022-11-23T01:32:37.5417276Z                 'guard_types': None,
2022-11-23T01:32:37.5417379Z                 'code': None,
2022-11-23T01:32:37.5417494Z                 'obj_weakref': None
2022-11-23T01:32:37.5417614Z                 'guarded_class': None
2022-11-23T01:32:37.5417676Z             }
2022-11-23T01:32:37.5417737Z             
2022-11-23T01:32:37.5417792Z  - 
2022-11-23T01:32:37.5417933Z             global 'torch.bool' CONSTANT_MATCH
2022-11-23T01:32:37.5417997Z             {
2022-11-23T01:32:37.5418138Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.5418297Z                 'code': ["str(torch.bool) == 'torch.bool'"],
2022-11-23T01:32:37.5418414Z                 'obj_weakref': None
2022-11-23T01:32:37.5418634Z                 'guarded_class': <weakref at 0x7f71931398f0; to 'type' at 0x7f71f278dc60 (dtype)>
2022-11-23T01:32:37.5418685Z             }
2022-11-23T01:32:37.5418746Z             
2022-11-23T01:32:37.5419010Z [2022-11-23 01:21:52,725] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 206
2022-11-23T01:32:37.5419385Z [2022-11-23 01:21:55,308] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xi/cxixy7fqe4arxdntqhrbqqf3hujekx357vq24knajm2kanntl44g.py
2022-11-23T01:32:37.5419646Z [2022-11-23 01:21:55,309] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 206
2022-11-23T01:32:37.5419652Z 
2022-11-23T01:32:37.5419747Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5419816Z import torch
2022-11-23T01:32:37.5419883Z import random
2022-11-23T01:32:37.5419985Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5420106Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5420111Z 
2022-11-23T01:32:37.5420189Z aten = torch.ops.aten
2022-11-23T01:32:37.5420323Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5420414Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5420422Z 
2022-11-23T01:32:37.5420426Z 
2022-11-23T01:32:37.5420559Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5420765Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5420883Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.5420971Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.5421065Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.5421162Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:37.5421255Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:37.5421345Z                        float* __restrict__ out_ptr4,
2022-11-23T01:32:37.5421435Z                        float* __restrict__ out_ptr5,
2022-11-23T01:32:37.5421524Z                        float* __restrict__ out_ptr6)
2022-11-23T01:32:37.5421586Z {
2022-11-23T01:32:37.5421672Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5421763Z     {
2022-11-23T01:32:37.5421841Z         #pragma omp for 
2022-11-23T01:32:37.5421923Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:37.5421986Z         {
2022-11-23T01:32:37.5422048Z             {
2022-11-23T01:32:37.5422099Z                 {
2022-11-23T01:32:37.5422190Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.5422292Z                     auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:37.5422381Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.5422521Z                     auto tmp3 = static_cast<float>(3);
2022-11-23T01:32:37.5422612Z                     auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:37.5422714Z                     auto tmp5 = static_cast<float>(0.0);
2022-11-23T01:32:37.5422821Z                     auto tmp6 = std::max(tmp4, tmp5);
2022-11-23T01:32:37.5422923Z                     auto tmp7 = static_cast<float>(6.0);
2022-11-23T01:32:37.5423023Z                     auto tmp8 = std::min(tmp6, tmp7);
2022-11-23T01:32:37.5423114Z                     auto tmp9 = tmp2 * tmp8;
2022-11-23T01:32:37.5423220Z                     auto tmp10 = static_cast<float>(6);
2022-11-23T01:32:37.5423312Z                     auto tmp11 = tmp9 / tmp10;
2022-11-23T01:32:37.5423474Z                     auto tmp12 = static_cast<float>(-1.0);
2022-11-23T01:32:37.5423576Z                     auto tmp13 = std::max(tmp2, tmp12);
2022-11-23T01:32:37.5423667Z                     auto tmp14 = static_cast<float>(1.0);
2022-11-23T01:32:37.5423773Z                     auto tmp15 = std::min(tmp13, tmp14);
2022-11-23T01:32:37.5423877Z                     auto tmp16 = static_cast<float>(0);
2022-11-23T01:32:37.5423967Z                     auto tmp17 = tmp2 > tmp16;
2022-11-23T01:32:37.5424073Z                     auto tmp18 = static_cast<float>(0.01);
2022-11-23T01:32:37.5424164Z                     auto tmp19 = tmp2 * tmp18;
2022-11-23T01:32:37.5424262Z                     auto tmp20 = tmp17 ? tmp2 : tmp19;
2022-11-23T01:32:37.5424396Z                     auto tmp21 = std::exp(-tmp2);
2022-11-23T01:32:37.5424582Z                     auto tmp22 = 1 / (1 + tmp21);
2022-11-23T01:32:37.5424676Z                     auto tmp23 = tmp2 * tmp22;
2022-11-23T01:32:37.5424778Z                     auto tmp24 = static_cast<bool>(0);
2022-11-23T01:32:37.5424884Z                     auto tmp25 = static_cast<float>(99.0);
2022-11-23T01:32:37.5424983Z                     auto tmp26 = tmp24 ? tmp25 : tmp2;
2022-11-23T01:32:37.5425083Z                     auto tmp27 = static_cast<bool>(1);
2022-11-23T01:32:37.5425184Z                     auto tmp28 = tmp27 ? tmp25 : tmp2;
2022-11-23T01:32:37.5425262Z                     auto tmp29 = tmp2 + tmp1;
2022-11-23T01:32:37.5425360Z                     auto tmp30 = std::log(tmp29);
2022-11-23T01:32:37.5425446Z                     out_ptr0[i0] = tmp11;
2022-11-23T01:32:37.5425531Z                     out_ptr1[i0] = tmp15;
2022-11-23T01:32:37.5425614Z                     out_ptr2[i0] = tmp20;
2022-11-23T01:32:37.5425697Z                     out_ptr3[i0] = tmp23;
2022-11-23T01:32:37.5425784Z                     out_ptr4[i0] = tmp26;
2022-11-23T01:32:37.5425852Z                     out_ptr5[i0] = tmp28;
2022-11-23T01:32:37.5425935Z                     out_ptr6[i0] = tmp30;
2022-11-23T01:32:37.5425999Z                 }
2022-11-23T01:32:37.5426063Z             }
2022-11-23T01:32:37.5426129Z         }
2022-11-23T01:32:37.5426193Z     }
2022-11-23T01:32:37.5426253Z }
2022-11-23T01:32:37.5426318Z ''')
2022-11-23T01:32:37.5426323Z 
2022-11-23T01:32:37.5426328Z 
2022-11-23T01:32:37.5426419Z async_compile.wait(globals())
2022-11-23T01:32:37.5426490Z del async_compile
2022-11-23T01:32:37.5426495Z 
2022-11-23T01:32:37.5426563Z def call(args):
2022-11-23T01:32:37.5426631Z     arg0_1, = args
2022-11-23T01:32:37.5426701Z     args.clear()
2022-11-23T01:32:37.5426894Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5427071Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5427255Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5427479Z     buf3 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5427665Z     buf4 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5427849Z     buf5 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5428034Z     buf6 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5428348Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()))
2022-11-23T01:32:37.5428417Z     del arg0_1
2022-11-23T01:32:37.5428510Z     return (buf0, buf1, buf2, buf3, buf6, buf4, buf5, )
2022-11-23T01:32:37.5428527Z 
2022-11-23T01:32:37.5428531Z 
2022-11-23T01:32:37.5428594Z if __name__ == "__main__":
2022-11-23T01:32:37.5428709Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5428829Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5429020Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5429126Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.5429131Z 
2022-11-23T01:32:37.5429197Z ok (2.882s)
2022-11-23T01:32:37.5429514Z   test_inplace_add_cpu (__main__.CpuTests) ... [2022-11-23 01:21:55,335] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:37.5429784Z [2022-11-23 01:21:55,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3174
2022-11-23T01:32:37.5429983Z [2022-11-23 01:21:55,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.5430222Z [2022-11-23 01:21:55,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()]
2022-11-23T01:32:37.5430494Z [2022-11-23 01:21:55,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)]
2022-11-23T01:32:37.5430834Z [2022-11-23 01:21:55,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()]
2022-11-23T01:32:37.5431205Z [2022-11-23 01:21:55,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5431445Z [2022-11-23 01:21:55,338] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:37.5431686Z [2022-11-23 01:21:55,340] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:37.5431981Z [2022-11-23 01:21:55,347] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:32:37.5432242Z [2022-11-23 01:21:55,347] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:32:37.5432478Z [2022-11-23 01:21:55,348] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:37.5432655Z [2022-11-23 01:21:55,348] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5432790Z  __compiled_fn_209 <eval_with_key>.1312 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5432875Z placeholder, x, x, (), {}
2022-11-23T01:32:37.5432957Z placeholder, y, y, (), {}
2022-11-23T01:32:37.5433049Z call_method, add_, add_, (x, y), {}
2022-11-23T01:32:37.5433147Z output, output, output, ((add_,),), {}
2022-11-23T01:32:37.5433153Z 
2022-11-23T01:32:37.5433429Z [2022-11-23 01:21:55,349] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 3172 
2022-11-23T01:32:37.5433508Z 3174           0 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5433602Z                2 LOAD_METHOD              0 (add_)
2022-11-23T01:32:37.5433691Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:37.5433782Z                6 CALL_METHOD              1
2022-11-23T01:32:37.5433899Z                8 RETURN_VALUE
2022-11-23T01:32:37.5433904Z 
2022-11-23T01:32:37.5433965Z  
2022-11-23T01:32:37.5434240Z [2022-11-23 01:21:55,349] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 3172 
2022-11-23T01:32:37.5434348Z 3172           0 LOAD_GLOBAL              1 (__compiled_fn_209)
2022-11-23T01:32:37.5434423Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5434541Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:37.5434631Z                6 CALL_FUNCTION            2
2022-11-23T01:32:37.5434723Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.5434798Z               10 RETURN_VALUE
2022-11-23T01:32:37.5434803Z 
2022-11-23T01:32:37.5434863Z  
2022-11-23T01:32:37.5435041Z [2022-11-23 01:21:55,350] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5435098Z  - 
2022-11-23T01:32:37.5435216Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:37.5435284Z             {
2022-11-23T01:32:37.5435430Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5435538Z                 'code': None,
2022-11-23T01:32:37.5435746Z                 'obj_weakref': <weakref at 0x7f71932224d0; to 'Tensor' at 0x7f71062767d0>
2022-11-23T01:32:37.5435999Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5436064Z             }
2022-11-23T01:32:37.5436116Z             
2022-11-23T01:32:37.5436188Z  - 
2022-11-23T01:32:37.5436308Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:37.5436373Z             {
2022-11-23T01:32:37.5436516Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5436623Z                 'code': None,
2022-11-23T01:32:37.5436820Z                 'obj_weakref': <weakref at 0x7f710cd867d0; to 'Tensor' at 0x7f70f2d99e30>
2022-11-23T01:32:37.5437068Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5437249Z             }
2022-11-23T01:32:37.5437312Z             
2022-11-23T01:32:37.5437380Z ok (0.030s)
2022-11-23T01:32:37.5437713Z   test_inplace_mixed_dtype_ops_cpu (__main__.CpuTests) ... [2022-11-23 01:21:55,363] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:37.5437986Z [2022-11-23 01:21:55,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3188
2022-11-23T01:32:37.5438200Z [2022-11-23 01:21:55,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.5438423Z [2022-11-23 01:21:55,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:37.5438693Z [2022-11-23 01:21:55,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5439001Z [2022-11-23 01:21:55,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), float)]
2022-11-23T01:32:37.5439274Z [2022-11-23 01:21:55,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5439511Z [2022-11-23 01:21:55,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST z [TensorVariable()]
2022-11-23T01:32:37.5439779Z [2022-11-23 01:21:55,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3189
2022-11-23T01:32:37.5439991Z [2022-11-23 01:21:55,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST z []
2022-11-23T01:32:37.5440231Z [2022-11-23 01:21:55,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()]
2022-11-23T01:32:37.5440502Z [2022-11-23 01:21:55,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)]
2022-11-23T01:32:37.5440814Z [2022-11-23 01:21:55,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()]
2022-11-23T01:32:37.5441092Z [2022-11-23 01:21:55,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST w [TensorVariable()]
2022-11-23T01:32:37.5441356Z [2022-11-23 01:21:55,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3190
2022-11-23T01:32:37.5441594Z [2022-11-23 01:21:55,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w []
2022-11-23T01:32:37.5441987Z [2022-11-23 01:21:55,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul_ [TensorVariable()]
2022-11-23T01:32:37.5442265Z [2022-11-23 01:21:55,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), mul_)]
2022-11-23T01:32:37.5442569Z [2022-11-23 01:21:55,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), mul_), TensorVariable()]
2022-11-23T01:32:37.5442817Z [2022-11-23 01:21:55,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5443052Z [2022-11-23 01:21:55,378] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:37.5443292Z [2022-11-23 01:21:55,380] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:37.5443513Z [2022-11-23 01:21:55,394] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:37.5443706Z [2022-11-23 01:21:55,394] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5443841Z  __compiled_fn_210 <eval_with_key>.1318 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5443927Z placeholder, x, x, (), {}
2022-11-23T01:32:37.5444008Z placeholder, y, y, (), {}
2022-11-23T01:32:37.5444103Z call_method, float_1, float, (y,), {}
2022-11-23T01:32:37.5444280Z call_function, add, <built-in function add>, (x, float_1), {}
2022-11-23T01:32:37.5444370Z call_method, add_, add_, (add, y), {}
2022-11-23T01:32:37.5444449Z call_method, mul_, mul_, (add_, y), {}
2022-11-23T01:32:37.5444547Z output, output, output, ((mul_,),), {}
2022-11-23T01:32:37.5444553Z 
2022-11-23T01:32:37.5444829Z [2022-11-23 01:21:55,395] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 3186 
2022-11-23T01:32:37.5444922Z 3188           0 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5445013Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:37.5445108Z                4 LOAD_METHOD              0 (float)
2022-11-23T01:32:37.5445205Z                6 CALL_METHOD              0
2022-11-23T01:32:37.5445277Z                8 BINARY_ADD
2022-11-23T01:32:37.5445365Z               10 STORE_FAST               2 (z)
2022-11-23T01:32:37.5445371Z 
2022-11-23T01:32:37.5445457Z 3189          12 LOAD_FAST                2 (z)
2022-11-23T01:32:37.5445549Z               14 LOAD_METHOD              1 (add_)
2022-11-23T01:32:37.5445636Z               16 LOAD_FAST                1 (y)
2022-11-23T01:32:37.5445722Z               18 CALL_METHOD              1
2022-11-23T01:32:37.5445811Z               20 STORE_FAST               3 (w)
2022-11-23T01:32:37.5445816Z 
2022-11-23T01:32:37.5445899Z 3190          22 LOAD_FAST                3 (w)
2022-11-23T01:32:37.5445978Z               24 LOAD_METHOD              2 (mul_)
2022-11-23T01:32:37.5446063Z               26 LOAD_FAST                1 (y)
2022-11-23T01:32:37.5446148Z               28 CALL_METHOD              1
2022-11-23T01:32:37.5446222Z               30 RETURN_VALUE
2022-11-23T01:32:37.5446227Z 
2022-11-23T01:32:37.5446290Z  
2022-11-23T01:32:37.5446565Z [2022-11-23 01:21:55,395] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 3186 
2022-11-23T01:32:37.5446671Z 3186           0 LOAD_GLOBAL              3 (__compiled_fn_210)
2022-11-23T01:32:37.5446756Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5446829Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:37.5446916Z                6 CALL_FUNCTION            2
2022-11-23T01:32:37.5447040Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.5447116Z               10 RETURN_VALUE
2022-11-23T01:32:37.5447121Z 
2022-11-23T01:32:37.5447182Z  
2022-11-23T01:32:37.5447363Z [2022-11-23 01:21:55,396] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5447433Z  - 
2022-11-23T01:32:37.5447538Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:37.5447600Z             {
2022-11-23T01:32:37.5447742Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5447887Z                 'code': None,
2022-11-23T01:32:37.5448099Z                 'obj_weakref': <weakref at 0x7f7106cfb110; to 'Tensor' at 0x7f7106e25530>
2022-11-23T01:32:37.5448349Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5448412Z             }
2022-11-23T01:32:37.5448463Z             
2022-11-23T01:32:37.5448530Z  - 
2022-11-23T01:32:37.5448648Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:37.5448714Z             {
2022-11-23T01:32:37.5448853Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5448962Z                 'code': None,
2022-11-23T01:32:37.5449167Z                 'obj_weakref': <weakref at 0x7f710672dd10; to 'Tensor' at 0x7f7106276950>
2022-11-23T01:32:37.5449400Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5449462Z             }
2022-11-23T01:32:37.5449525Z             
2022-11-23T01:32:37.5449784Z [2022-11-23 01:21:55,418] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 207
2022-11-23T01:32:37.5450152Z [2022-11-23 01:21:57,998] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zr/czr7xa52irvaegb5fsdzvkwxn3qxemuhdu6jdz7ala5cn7vi4o5z.py
2022-11-23T01:32:37.5450411Z [2022-11-23 01:21:57,999] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 207
2022-11-23T01:32:37.5450417Z 
2022-11-23T01:32:37.5450511Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5450580Z import torch
2022-11-23T01:32:37.5450636Z import random
2022-11-23T01:32:37.5450749Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5450868Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5450872Z 
2022-11-23T01:32:37.5450948Z aten = torch.ops.aten
2022-11-23T01:32:37.5451082Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5451175Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5451179Z 
2022-11-23T01:32:37.5451184Z 
2022-11-23T01:32:37.5451314Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5451519Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5451622Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.5451726Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.5451832Z                        const double* __restrict__ in_ptr1)
2022-11-23T01:32:37.5451895Z {
2022-11-23T01:32:37.5451992Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5452053Z     {
2022-11-23T01:32:37.5452132Z         #pragma omp for 
2022-11-23T01:32:37.5452202Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:37.5452264Z         {
2022-11-23T01:32:37.5452326Z             {
2022-11-23T01:32:37.5452389Z                 {
2022-11-23T01:32:37.5452481Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.5452573Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:37.5452677Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:32:37.5452754Z                     auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:37.5452862Z                     auto tmp4 = static_cast<double>(tmp3);
2022-11-23T01:32:37.5452952Z                     auto tmp5 = tmp4 + tmp1;
2022-11-23T01:32:37.5453057Z                     auto tmp6 = static_cast<float>(tmp5);
2022-11-23T01:32:37.5453162Z                     auto tmp7 = static_cast<double>(tmp6);
2022-11-23T01:32:37.5453283Z                     auto tmp8 = tmp7 * tmp1;
2022-11-23T01:32:37.5453389Z                     auto tmp9 = static_cast<float>(tmp8);
2022-11-23T01:32:37.5453465Z                     in_out_ptr0[i0] = tmp9;
2022-11-23T01:32:37.5453529Z                 }
2022-11-23T01:32:37.5453593Z             }
2022-11-23T01:32:37.5453655Z         }
2022-11-23T01:32:37.5453717Z     }
2022-11-23T01:32:37.5453777Z }
2022-11-23T01:32:37.5453854Z ''')
2022-11-23T01:32:37.5453886Z 
2022-11-23T01:32:37.5453891Z 
2022-11-23T01:32:37.5453967Z async_compile.wait(globals())
2022-11-23T01:32:37.5454037Z del async_compile
2022-11-23T01:32:37.5454042Z 
2022-11-23T01:32:37.5454111Z def call(args):
2022-11-23T01:32:37.5454187Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.5454257Z     args.clear()
2022-11-23T01:32:37.5454454Z     buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5454538Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.5454687Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()))
2022-11-23T01:32:37.5454756Z     del arg0_1
2022-11-23T01:32:37.5454824Z     del arg1_1
2022-11-23T01:32:37.5454894Z     return (buf1, )
2022-11-23T01:32:37.5454899Z 
2022-11-23T01:32:37.5454903Z 
2022-11-23T01:32:37.5454978Z if __name__ == "__main__":
2022-11-23T01:32:37.5455090Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5455213Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5455409Z     arg0_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5455588Z     arg1_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:37.5455701Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.5455706Z 
2022-11-23T01:32:37.5455771Z ok (2.651s)
2022-11-23T01:32:37.5456086Z   test_input_mutation1_cpu (__main__.CpuTests) ... [2022-11-23 01:21:58,013] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:37.5456359Z [2022-11-23 01:21:58,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3216
2022-11-23T01:32:37.5456570Z [2022-11-23 01:21:58,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5456809Z [2022-11-23 01:21:58,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:37.5457091Z [2022-11-23 01:21:58,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5457327Z [2022-11-23 01:21:58,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:32:37.5457580Z [2022-11-23 01:21:58,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3217
2022-11-23T01:32:37.5457786Z [2022-11-23 01:21:58,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5458029Z [2022-11-23 01:21:58,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR copy_ [TensorVariable()]
2022-11-23T01:32:37.5458301Z [2022-11-23 01:21:58,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [GetAttrVariable(TensorVariable(), copy_)]
2022-11-23T01:32:37.5458612Z [2022-11-23 01:21:58,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), copy_), TensorVariable()]
2022-11-23T01:32:37.5458853Z [2022-11-23 01:21:58,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:37.5459114Z [2022-11-23 01:21:58,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3218
2022-11-23T01:32:37.5459319Z [2022-11-23 01:21:58,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5459553Z [2022-11-23 01:21:58,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:37.5459819Z [2022-11-23 01:21:58,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5460086Z [2022-11-23 01:21:58,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:32:37.5460349Z [2022-11-23 01:21:58,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3219
2022-11-23T01:32:37.5460553Z [2022-11-23 01:21:58,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5460815Z [2022-11-23 01:21:58,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:37.5461094Z [2022-11-23 01:21:58,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5461324Z [2022-11-23 01:21:58,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable()]
2022-11-23T01:32:37.5461606Z [2022-11-23 01:21:58,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5461852Z [2022-11-23 01:21:58,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5462082Z [2022-11-23 01:21:58,032] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:37.5462311Z [2022-11-23 01:21:58,034] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:37.5462606Z [2022-11-23 01:21:58,044] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:32:37.5462865Z [2022-11-23 01:21:58,044] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:32:37.5463097Z [2022-11-23 01:21:58,044] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:37.5463283Z [2022-11-23 01:21:58,045] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5463417Z  __compiled_fn_211 <eval_with_key>.1321 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5463501Z placeholder, a, a, (), {}
2022-11-23T01:32:37.5463664Z call_function, add, <built-in function add>, (a, 1), {}
2022-11-23T01:32:37.5463745Z call_method, copy_, copy_, (a, add), {}
2022-11-23T01:32:37.5463912Z call_function, add_1, <built-in function add>, (a, 2), {}
2022-11-23T01:32:37.5464076Z call_function, mul, <built-in function mul>, (a, add), {}
2022-11-23T01:32:37.5464267Z call_function, truediv, <built-in function truediv>, (mul, add_1), {}
2022-11-23T01:32:37.5464368Z output, output, output, ((truediv,),), {}
2022-11-23T01:32:37.5464374Z 
2022-11-23T01:32:37.5464732Z [2022-11-23 01:21:58,046] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 3215 
2022-11-23T01:32:37.5464824Z 3216           0 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5464915Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:37.5464976Z                4 BINARY_ADD
2022-11-23T01:32:37.5465070Z                6 STORE_FAST               1 (b)
2022-11-23T01:32:37.5465074Z 
2022-11-23T01:32:37.5465161Z 3217           8 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5465257Z               10 LOAD_METHOD              0 (copy_)
2022-11-23T01:32:37.5465347Z               12 LOAD_FAST                1 (b)
2022-11-23T01:32:37.5465436Z               14 CALL_METHOD              1
2022-11-23T01:32:37.5465512Z               16 POP_TOP
2022-11-23T01:32:37.5465519Z 
2022-11-23T01:32:37.5465592Z 3218          18 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5465680Z               20 LOAD_CONST               2 (2)
2022-11-23T01:32:37.5465753Z               22 BINARY_ADD
2022-11-23T01:32:37.5465841Z               24 STORE_FAST               2 (c)
2022-11-23T01:32:37.5465846Z 
2022-11-23T01:32:37.5465932Z 3219          26 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5466018Z               28 LOAD_FAST                1 (b)
2022-11-23T01:32:37.5466142Z               30 BINARY_MULTIPLY
2022-11-23T01:32:37.5466225Z               32 LOAD_FAST                2 (c)
2022-11-23T01:32:37.5466294Z               34 BINARY_TRUE_DIVIDE
2022-11-23T01:32:37.5466368Z               36 RETURN_VALUE
2022-11-23T01:32:37.5466373Z 
2022-11-23T01:32:37.5466435Z  
2022-11-23T01:32:37.5466710Z [2022-11-23 01:21:58,046] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 3215 
2022-11-23T01:32:37.5466848Z 3215           0 LOAD_GLOBAL              1 (__compiled_fn_211)
2022-11-23T01:32:37.5466933Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5467021Z                4 CALL_FUNCTION            1
2022-11-23T01:32:37.5467099Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.5467174Z                8 RETURN_VALUE
2022-11-23T01:32:37.5467178Z 
2022-11-23T01:32:37.5467237Z  
2022-11-23T01:32:37.5467418Z [2022-11-23 01:21:58,047] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5467488Z  - 
2022-11-23T01:32:37.5467611Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:37.5467675Z             {
2022-11-23T01:32:37.5467803Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5467907Z                 'code': None,
2022-11-23T01:32:37.5468114Z                 'obj_weakref': <weakref at 0x7f7106d09d10; to 'Tensor' at 0x7f7106dbf470>
2022-11-23T01:32:37.5468361Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5468428Z             }
2022-11-23T01:32:37.5468491Z             
2022-11-23T01:32:37.5468556Z ok (0.049s)
2022-11-23T01:32:37.5468873Z   test_input_mutation2_cpu (__main__.CpuTests) ... [2022-11-23 01:21:58,059] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:37.5469130Z [2022-11-23 01:21:58,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3239
2022-11-23T01:32:37.5469334Z [2022-11-23 01:21:58,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5469573Z [2022-11-23 01:21:58,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:37.5469854Z [2022-11-23 01:21:58,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5470086Z [2022-11-23 01:21:58,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:32:37.5470350Z [2022-11-23 01:21:58,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3240
2022-11-23T01:32:37.5470554Z [2022-11-23 01:21:58,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5470792Z [2022-11-23 01:21:58,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:37.5471064Z [2022-11-23 01:21:58,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:37.5471372Z [2022-11-23 01:21:58,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int)]
2022-11-23T01:32:37.5471612Z [2022-11-23 01:21:58,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR copy_ [TensorVariable()]
2022-11-23T01:32:37.5471893Z [2022-11-23 01:21:58,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [GetAttrVariable(TensorVariable(), copy_)]
2022-11-23T01:32:37.5472331Z [2022-11-23 01:21:58,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5472729Z [2022-11-23 01:21:58,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 66.0 [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.5473155Z [2022-11-23 01:21:58,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(float)]
2022-11-23T01:32:37.5473603Z [2022-11-23 01:21:58,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable()]
2022-11-23T01:32:37.5474082Z [2022-11-23 01:21:58,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable(), TensorVariable()]
2022-11-23T01:32:37.5474538Z [2022-11-23 01:21:58,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:32:37.5475040Z [2022-11-23 01:21:58,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [GetAttrVariable(TensorVariable(), copy_), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:37.5475347Z [2022-11-23 01:21:58,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), copy_), TensorVariable()]
2022-11-23T01:32:37.5475590Z [2022-11-23 01:21:58,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:37.5475855Z [2022-11-23 01:21:58,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3241
2022-11-23T01:32:37.5476061Z [2022-11-23 01:21:58,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5476285Z [2022-11-23 01:21:58,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:37.5476562Z [2022-11-23 01:21:58,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5476799Z [2022-11-23 01:21:58,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:32:37.5477064Z [2022-11-23 01:21:58,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3242
2022-11-23T01:32:37.5477396Z [2022-11-23 01:21:58,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b []
2022-11-23T01:32:37.5477631Z [2022-11-23 01:21:58,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable()]
2022-11-23T01:32:37.5477900Z [2022-11-23 01:21:58,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5478145Z [2022-11-23 01:21:58,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.5478377Z [2022-11-23 01:21:58,078] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:37.5478607Z [2022-11-23 01:21:58,081] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:37.5478900Z [2022-11-23 01:21:58,091] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:32:37.5479161Z [2022-11-23 01:21:58,091] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:32:37.5479397Z [2022-11-23 01:21:58,091] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:37.5479586Z [2022-11-23 01:21:58,092] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5479721Z  __compiled_fn_212 <eval_with_key>.1324 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5479806Z placeholder, a, a, (), {}
2022-11-23T01:32:37.5479972Z call_function, add, <built-in function add>, (a, 1), {}
2022-11-23T01:32:37.5480049Z call_method, view, view, (a, 64), {}
2022-11-23T01:32:37.5480383Z call_function, tensor, <built-in method tensor of type object at 0x7f71f2abebc0>, ([66.0],), {'device': device(type='cpu')}
2022-11-23T01:32:37.5480485Z call_method, copy_, copy_, (view, tensor), {}
2022-11-23T01:32:37.5480654Z call_function, add_1, <built-in function add>, (a, 2), {}
2022-11-23T01:32:37.5480758Z output, output, output, ((add, add_1),), {}
2022-11-23T01:32:37.5480763Z 
2022-11-23T01:32:37.5481076Z [2022-11-23 01:21:58,093] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 3238 
2022-11-23T01:32:37.5481169Z 3239           0 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5481259Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:37.5481320Z                4 BINARY_ADD
2022-11-23T01:32:37.5481411Z                6 STORE_FAST               1 (b)
2022-11-23T01:32:37.5481415Z 
2022-11-23T01:32:37.5481503Z 3240           8 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5481597Z               10 LOAD_METHOD              0 (view)
2022-11-23T01:32:37.5481690Z               12 LOAD_CONST               2 (64)
2022-11-23T01:32:37.5481779Z               14 CALL_METHOD              1
2022-11-23T01:32:37.5481876Z               16 LOAD_METHOD              1 (copy_)
2022-11-23T01:32:37.5481968Z               18 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:37.5482048Z               20 LOAD_ATTR                3 (tensor)
2022-11-23T01:32:37.5482140Z               22 LOAD_CONST               3 (66.0)
2022-11-23T01:32:37.5482232Z               24 BUILD_LIST               1
2022-11-23T01:32:37.5482321Z               26 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5482412Z               28 LOAD_ATTR                4 (device)
2022-11-23T01:32:37.5482563Z               30 LOAD_CONST               4 (('device',))
2022-11-23T01:32:37.5482656Z               32 CALL_FUNCTION_KW         2
2022-11-23T01:32:37.5482730Z               34 CALL_METHOD              1
2022-11-23T01:32:37.5482804Z               36 POP_TOP
2022-11-23T01:32:37.5482811Z 
2022-11-23T01:32:37.5482899Z 3241          38 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5482988Z               40 LOAD_CONST               5 (2)
2022-11-23T01:32:37.5483063Z               42 BINARY_ADD
2022-11-23T01:32:37.5483150Z               44 STORE_FAST               2 (c)
2022-11-23T01:32:37.5483155Z 
2022-11-23T01:32:37.5483242Z 3242          46 LOAD_FAST                1 (b)
2022-11-23T01:32:37.5483316Z               48 LOAD_FAST                2 (c)
2022-11-23T01:32:37.5483406Z               50 BUILD_TUPLE              2
2022-11-23T01:32:37.5483482Z               52 RETURN_VALUE
2022-11-23T01:32:37.5483487Z 
2022-11-23T01:32:37.5483548Z  
2022-11-23T01:32:37.5483825Z [2022-11-23 01:21:58,093] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 3238 
2022-11-23T01:32:37.5483935Z 3238           0 LOAD_GLOBAL              5 (__compiled_fn_212)
2022-11-23T01:32:37.5484021Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5484114Z                4 CALL_FUNCTION            1
2022-11-23T01:32:37.5484205Z                6 STORE_FAST               3 (___graph_out_0)
2022-11-23T01:32:37.5484311Z                8 LOAD_FAST                3 (___graph_out_0)
2022-11-23T01:32:37.5484400Z               10 LOAD_CONST               6 (0)
2022-11-23T01:32:37.5484478Z               12 BINARY_SUBSCR
2022-11-23T01:32:37.5484580Z               14 LOAD_FAST                3 (___graph_out_0)
2022-11-23T01:32:37.5484669Z               16 LOAD_CONST               1 (1)
2022-11-23T01:32:37.5484746Z               18 BINARY_SUBSCR
2022-11-23T01:32:37.5484821Z               20 BUILD_TUPLE              2
2022-11-23T01:32:37.5484896Z               22 RETURN_VALUE
2022-11-23T01:32:37.5484902Z 
2022-11-23T01:32:37.5484962Z  
2022-11-23T01:32:37.5485146Z [2022-11-23 01:21:58,095] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5485217Z  - 
2022-11-23T01:32:37.5485334Z             local 'a' TYPE_MATCH
2022-11-23T01:32:37.5485433Z             {
2022-11-23T01:32:37.5485559Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:37.5485723Z                 'code': ['___check_type_id(a, 107271106909856)'],
2022-11-23T01:32:37.5485931Z                 'obj_weakref': <weakref at 0x7f7106a25050; to 'Tensor' at 0x7f7129e91350>
2022-11-23T01:32:37.5486180Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5486249Z             }
2022-11-23T01:32:37.5486344Z             
2022-11-23T01:32:37.5486414Z  - 
2022-11-23T01:32:37.5486532Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:37.5486583Z             {
2022-11-23T01:32:37.5486726Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5486834Z                 'code': None,
2022-11-23T01:32:37.5487039Z                 'obj_weakref': <weakref at 0x7f7106a25050; to 'Tensor' at 0x7f7129e91350>
2022-11-23T01:32:37.5487289Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5487358Z             }
2022-11-23T01:32:37.5487422Z             
2022-11-23T01:32:37.5487478Z  - 
2022-11-23T01:32:37.5487613Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.5487680Z             {
2022-11-23T01:32:37.5487800Z                 'guard_types': None,
2022-11-23T01:32:37.5487906Z                 'code': None,
2022-11-23T01:32:37.5488022Z                 'obj_weakref': None
2022-11-23T01:32:37.5488131Z                 'guarded_class': None
2022-11-23T01:32:37.5488196Z             }
2022-11-23T01:32:37.5488257Z             
2022-11-23T01:32:37.5488324Z ok (0.046s)
2022-11-23T01:32:37.5488639Z   test_input_mutation3_cpu (__main__.CpuTests) ... [2022-11-23 01:21:58,105] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:37.5488910Z [2022-11-23 01:21:58,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3256
2022-11-23T01:32:37.5489121Z [2022-11-23 01:21:58,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5489358Z [2022-11-23 01:21:58,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:37.5489628Z [2022-11-23 01:21:58,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5489864Z [2022-11-23 01:21:58,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:37.5490130Z [2022-11-23 01:21:58,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3257
2022-11-23T01:32:37.5490337Z [2022-11-23 01:21:58,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5490570Z [2022-11-23 01:21:58,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:37.5490869Z [2022-11-23 01:21:58,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5491104Z [2022-11-23 01:21:58,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:37.5491367Z [2022-11-23 01:21:58,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3258
2022-11-23T01:32:37.5491579Z [2022-11-23 01:21:58,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.5491890Z [2022-11-23 01:21:58,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sigmoid_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5492132Z [2022-11-23 01:21:58,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.sigmoid_)]
2022-11-23T01:32:37.5492419Z [2022-11-23 01:21:58,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.sigmoid_), TensorVariable()]
2022-11-23T01:32:37.5492655Z [2022-11-23 01:21:58,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:37.5492949Z [2022-11-23 01:21:58,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3259
2022-11-23T01:32:37.5493155Z [2022-11-23 01:21:58,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5493396Z [2022-11-23 01:21:58,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:37.5493710Z [2022-11-23 01:21:58,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:37.5494026Z [2022-11-23 01:21:58,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int)]
2022-11-23T01:32:37.5494261Z [2022-11-23 01:21:58,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:37.5494510Z [2022-11-23 01:21:58,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3260
2022-11-23T01:32:37.5494718Z [2022-11-23 01:21:58,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5494952Z [2022-11-23 01:21:58,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable()]
2022-11-23T01:32:37.5495231Z [2022-11-23 01:21:58,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5495464Z [2022-11-23 01:21:58,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:37.5495727Z [2022-11-23 01:21:58,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3261
2022-11-23T01:32:37.5495929Z [2022-11-23 01:21:58,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5496161Z [2022-11-23 01:21:58,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable()]
2022-11-23T01:32:37.5496453Z [2022-11-23 01:21:58,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5496673Z [2022-11-23 01:21:58,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()]
2022-11-23T01:32:37.5496933Z [2022-11-23 01:21:58,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3262
2022-11-23T01:32:37.5497145Z [2022-11-23 01:21:58,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.5497464Z [2022-11-23 01:21:58,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5497710Z [2022-11-23 01:21:58,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.relu_)]
2022-11-23T01:32:37.5497993Z [2022-11-23 01:21:58,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.relu_), TensorVariable()]
2022-11-23T01:32:37.5498232Z [2022-11-23 01:21:58,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:37.5498495Z [2022-11-23 01:21:58,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3263
2022-11-23T01:32:37.5498700Z [2022-11-23 01:21:58,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5498947Z [2022-11-23 01:21:58,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5499167Z [2022-11-23 01:21:58,141] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:37.5499407Z [2022-11-23 01:21:58,143] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:37.5499700Z [2022-11-23 01:21:58,149] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:32:37.5499958Z [2022-11-23 01:21:58,149] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:32:37.5500223Z [2022-11-23 01:21:58,149] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:37.5500407Z [2022-11-23 01:21:58,150] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5500540Z  __compiled_fn_213 <eval_with_key>.1327 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5500623Z placeholder, a, a, (), {}
2022-11-23T01:32:37.5500811Z call_function, iadd, <built-in function iadd>, (a, 1), {}
2022-11-23T01:32:37.5500985Z call_function, imul, <built-in function imul>, (iadd, 2), {}
2022-11-23T01:32:37.5501101Z call_function, sigmoid_, aten.sigmoid_, (imul,), {}
2022-11-23T01:32:37.5501193Z call_method, view, view, (imul, 64), {}
2022-11-23T01:32:37.5501367Z call_function, iadd_1, <built-in function iadd>, (view, 3), {}
2022-11-23T01:32:37.5501542Z call_function, imul_1, <built-in function imul>, (iadd_1, 4), {}
2022-11-23T01:32:37.5501649Z call_function, relu_, aten.relu_, (imul_1,), {}
2022-11-23T01:32:37.5501745Z output, output, output, ((imul_1,),), {}
2022-11-23T01:32:37.5501751Z 
2022-11-23T01:32:37.5502016Z [2022-11-23 01:21:58,150] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 3255 
2022-11-23T01:32:37.5502105Z 3256           0 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5502194Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:37.5502271Z                4 INPLACE_ADD
2022-11-23T01:32:37.5502359Z                6 STORE_FAST               0 (a)
2022-11-23T01:32:37.5502364Z 
2022-11-23T01:32:37.5502448Z 3257           8 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5502535Z               10 LOAD_CONST               2 (2)
2022-11-23T01:32:37.5502616Z               12 INPLACE_MULTIPLY
2022-11-23T01:32:37.5502692Z               14 STORE_FAST               0 (a)
2022-11-23T01:32:37.5502696Z 
2022-11-23T01:32:37.5502788Z 3258          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.5502889Z               18 LOAD_METHOD              1 (sigmoid_)
2022-11-23T01:32:37.5502975Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5503062Z               22 CALL_METHOD              1
2022-11-23T01:32:37.5503132Z               24 POP_TOP
2022-11-23T01:32:37.5503138Z 
2022-11-23T01:32:37.5503223Z 3259          26 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5503303Z               28 LOAD_METHOD              2 (view)
2022-11-23T01:32:37.5503393Z               30 LOAD_CONST               3 (64)
2022-11-23T01:32:37.5503478Z               32 CALL_METHOD              1
2022-11-23T01:32:37.5503564Z               34 STORE_FAST               0 (a)
2022-11-23T01:32:37.5503569Z 
2022-11-23T01:32:37.5503652Z 3260          36 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5503738Z               38 LOAD_CONST               4 (3)
2022-11-23T01:32:37.5503812Z               40 INPLACE_ADD
2022-11-23T01:32:37.5503898Z               42 STORE_FAST               0 (a)
2022-11-23T01:32:37.5503905Z 
2022-11-23T01:32:37.5503977Z 3261          44 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5504063Z               46 LOAD_CONST               5 (4)
2022-11-23T01:32:37.5504143Z               48 INPLACE_MULTIPLY
2022-11-23T01:32:37.5504228Z               50 STORE_FAST               0 (a)
2022-11-23T01:32:37.5504233Z 
2022-11-23T01:32:37.5504324Z 3262          52 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.5504416Z               54 LOAD_METHOD              3 (relu_)
2022-11-23T01:32:37.5504585Z               56 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5504675Z               58 CALL_METHOD              1
2022-11-23T01:32:37.5504733Z               60 POP_TOP
2022-11-23T01:32:37.5504737Z 
2022-11-23T01:32:37.5504821Z 3263          62 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5504898Z               64 RETURN_VALUE
2022-11-23T01:32:37.5504903Z 
2022-11-23T01:32:37.5504964Z  
2022-11-23T01:32:37.5505243Z [2022-11-23 01:21:58,150] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 3255 
2022-11-23T01:32:37.5505388Z 3255           0 LOAD_GLOBAL              4 (__compiled_fn_213)
2022-11-23T01:32:37.5505475Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5505552Z                4 CALL_FUNCTION            1
2022-11-23T01:32:37.5505643Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.5505718Z                8 RETURN_VALUE
2022-11-23T01:32:37.5505723Z 
2022-11-23T01:32:37.5505809Z  
2022-11-23T01:32:37.5505991Z [2022-11-23 01:21:58,151] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5506059Z  - 
2022-11-23T01:32:37.5506177Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:37.5506228Z             {
2022-11-23T01:32:37.5506368Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5506473Z                 'code': None,
2022-11-23T01:32:37.5506680Z                 'obj_weakref': <weakref at 0x7f7106a30830; to 'Tensor' at 0x7f7106a25f50>
2022-11-23T01:32:37.5506932Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5506996Z             }
2022-11-23T01:32:37.5507058Z             
2022-11-23T01:32:37.5507124Z  - 
2022-11-23T01:32:37.5507241Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.5507303Z             {
2022-11-23T01:32:37.5507421Z                 'guard_types': None,
2022-11-23T01:32:37.5507525Z                 'code': None,
2022-11-23T01:32:37.5507643Z                 'obj_weakref': None
2022-11-23T01:32:37.5507761Z                 'guarded_class': None
2022-11-23T01:32:37.5507811Z             }
2022-11-23T01:32:37.5507874Z             
2022-11-23T01:32:37.5507940Z ok (0.055s)
2022-11-23T01:32:37.5508253Z   test_input_mutation4_cpu (__main__.CpuTests) ... [2022-11-23 01:21:58,157] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:37.5508521Z [2022-11-23 01:21:58,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3276
2022-11-23T01:32:37.5508741Z [2022-11-23 01:21:58,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5509104Z [2022-11-23 01:21:58,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu_ [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5509424Z [2022-11-23 01:21:58,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method relu_ of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.5509776Z [2022-11-23 01:21:58,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method relu_ of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.5510003Z [2022-11-23 01:21:58,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:37.5510270Z [2022-11-23 01:21:58,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3277
2022-11-23T01:32:37.5510480Z [2022-11-23 01:21:58,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.5510723Z [2022-11-23 01:21:58,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5510950Z [2022-11-23 01:21:58,159] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:37.5511189Z [2022-11-23 01:21:58,160] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:37.5511483Z [2022-11-23 01:21:58,162] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:32:37.5511740Z [2022-11-23 01:21:58,162] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:32:37.5511974Z [2022-11-23 01:21:58,162] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:37.5512222Z [2022-11-23 01:21:58,162] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5512345Z  __compiled_fn_214 <eval_with_key>.1330 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5512430Z placeholder, a, a, (), {}
2022-11-23T01:32:37.5512649Z call_function, relu_, <built-in method relu_ of type object at 0x7f71f2abebc0>, (a,), {}
2022-11-23T01:32:37.5512743Z output, output, output, ((a,),), {}
2022-11-23T01:32:37.5512748Z 
2022-11-23T01:32:37.5513049Z [2022-11-23 01:21:58,163] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 3275 
2022-11-23T01:32:37.5513145Z 3276           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5513238Z                2 LOAD_METHOD              1 (relu_)
2022-11-23T01:32:37.5513315Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5513405Z                6 CALL_METHOD              1
2022-11-23T01:32:37.5513477Z                8 POP_TOP
2022-11-23T01:32:37.5513482Z 
2022-11-23T01:32:37.5513575Z 3277          10 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5513654Z               12 RETURN_VALUE
2022-11-23T01:32:37.5513659Z 
2022-11-23T01:32:37.5513720Z  
2022-11-23T01:32:37.5513998Z [2022-11-23 01:21:58,163] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 3275 
2022-11-23T01:32:37.5514107Z 3275           0 LOAD_GLOBAL              2 (__compiled_fn_214)
2022-11-23T01:32:37.5514183Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5514274Z                4 CALL_FUNCTION            1
2022-11-23T01:32:37.5514364Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.5514439Z                8 RETURN_VALUE
2022-11-23T01:32:37.5514444Z 
2022-11-23T01:32:37.5514503Z  
2022-11-23T01:32:37.5514682Z [2022-11-23 01:21:58,163] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5514750Z  - 
2022-11-23T01:32:37.5514856Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:37.5514918Z             {
2022-11-23T01:32:37.5515061Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5515165Z                 'code': None,
2022-11-23T01:32:37.5515369Z                 'obj_weakref': <weakref at 0x7f71070c2470; to 'Tensor' at 0x7f7106a25350>
2022-11-23T01:32:37.5515617Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5515681Z             }
2022-11-23T01:32:37.5515745Z             
2022-11-23T01:32:37.5515800Z  - 
2022-11-23T01:32:37.5515933Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.5515995Z             {
2022-11-23T01:32:37.5516113Z                 'guard_types': None,
2022-11-23T01:32:37.5516217Z                 'code': None,
2022-11-23T01:32:37.5516335Z                 'obj_weakref': None
2022-11-23T01:32:37.5516443Z                 'guarded_class': None
2022-11-23T01:32:37.5516505Z             }
2022-11-23T01:32:37.5516566Z             
2022-11-23T01:32:37.5516631Z ok (0.012s)
2022-11-23T01:32:37.5516961Z   test_invalid_operand_issue1_cpu (__main__.CpuTests) ... [2022-11-23 01:21:59,405] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5517346Z [2022-11-23 01:21:59,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5517566Z [2022-11-23 01:21:59,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5517822Z [2022-11-23 01:21:59,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.5518095Z [2022-11-23 01:21:59,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.5518420Z [2022-11-23 01:21:59,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5518756Z [2022-11-23 01:21:59,406] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f63caae0, file "inductor/test_torchinductor.py", line 4466> 
2022-11-23T01:32:37.5518908Z  4467           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5519001Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:37.5519097Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:37.5519201Z                6 LOAD_ATTR                3 (slice_scatter)
2022-11-23T01:32:37.5519299Z                8 LOAD_METHOD              4 (default)
2022-11-23T01:32:37.5519341Z 
2022-11-23T01:32:37.5519436Z 4468          10 LOAD_FAST                5 (slice_1)
2022-11-23T01:32:37.5519516Z               12 LOAD_FAST                2 (arg3_1)
2022-11-23T01:32:37.5519607Z               14 LOAD_CONST               1 (1)
2022-11-23T01:32:37.5519697Z               16 LOAD_CONST               1 (1)
2022-11-23T01:32:37.5519796Z               18 LOAD_CONST               2 (9223372036854775807)
2022-11-23T01:32:37.5519884Z               20 CALL_METHOD              5
2022-11-23T01:32:37.5519989Z               22 STORE_FAST               6 (slice_scatter)
2022-11-23T01:32:37.5519995Z 
2022-11-23T01:32:37.5520087Z 4470          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5520175Z               26 LOAD_ATTR                1 (ops)
2022-11-23T01:32:37.5520252Z               28 LOAD_ATTR                2 (aten)
2022-11-23T01:32:37.5520351Z               30 LOAD_ATTR                3 (slice_scatter)
2022-11-23T01:32:37.5520446Z               32 LOAD_METHOD              4 (default)
2022-11-23T01:32:37.5520451Z 
2022-11-23T01:32:37.5520543Z 4471          34 LOAD_FAST                1 (arg1_1)
2022-11-23T01:32:37.5520643Z               36 LOAD_FAST                6 (slice_scatter)
2022-11-23T01:32:37.5520733Z               38 LOAD_CONST               3 (0)
2022-11-23T01:32:37.5520820Z               40 LOAD_CONST               3 (0)
2022-11-23T01:32:37.5520908Z               42 LOAD_CONST               2 (9223372036854775807)
2022-11-23T01:32:37.5520996Z               44 CALL_METHOD              5
2022-11-23T01:32:37.5521102Z               46 STORE_FAST               7 (slice_scatter_1)
2022-11-23T01:32:37.5521107Z 
2022-11-23T01:32:37.5521199Z 4473          48 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5521292Z               50 LOAD_ATTR                1 (ops)
2022-11-23T01:32:37.5521382Z               52 LOAD_ATTR                2 (aten)
2022-11-23T01:32:37.5521470Z               54 LOAD_ATTR                5 (slice)
2022-11-23T01:32:37.5521563Z               56 LOAD_METHOD              6 (Tensor)
2022-11-23T01:32:37.5521568Z 
2022-11-23T01:32:37.5521657Z 4474          58 LOAD_FAST                7 (slice_scatter_1)
2022-11-23T01:32:37.5521744Z               60 LOAD_CONST               3 (0)
2022-11-23T01:32:37.5521830Z               62 LOAD_CONST               3 (0)
2022-11-23T01:32:37.5521926Z               64 LOAD_CONST               2 (9223372036854775807)
2022-11-23T01:32:37.5522013Z               66 CALL_METHOD              4
2022-11-23T01:32:37.5522107Z               68 STORE_FAST               8 (slice_2)
2022-11-23T01:32:37.5522113Z 
2022-11-23T01:32:37.5522204Z 4476          70 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5522292Z               72 LOAD_ATTR                1 (ops)
2022-11-23T01:32:37.5522369Z               74 LOAD_ATTR                2 (aten)
2022-11-23T01:32:37.5522470Z               76 LOAD_ATTR                7 (select_scatter)
2022-11-23T01:32:37.5522564Z               78 LOAD_METHOD              4 (default)
2022-11-23T01:32:37.5522570Z 
2022-11-23T01:32:37.5522660Z 4477          80 LOAD_FAST                8 (slice_2)
2022-11-23T01:32:37.5522748Z               82 LOAD_FAST                3 (squeeze)
2022-11-23T01:32:37.5522835Z               84 LOAD_CONST               1 (1)
2022-11-23T01:32:37.5522924Z               86 LOAD_CONST               3 (0)
2022-11-23T01:32:37.5522998Z               88 CALL_METHOD              4
2022-11-23T01:32:37.5523100Z               90 STORE_FAST               9 (select_scatter)
2022-11-23T01:32:37.5523132Z 
2022-11-23T01:32:37.5523223Z 4479          92 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5523312Z               94 LOAD_ATTR                1 (ops)
2022-11-23T01:32:37.5523400Z               96 LOAD_ATTR                2 (aten)
2022-11-23T01:32:37.5523500Z               98 LOAD_ATTR                3 (slice_scatter)
2022-11-23T01:32:37.5523594Z              100 LOAD_METHOD              4 (default)
2022-11-23T01:32:37.5523599Z 
2022-11-23T01:32:37.5523729Z 4480         102 LOAD_FAST                7 (slice_scatter_1)
2022-11-23T01:32:37.5523818Z              104 LOAD_FAST                9 (select_scatter)
2022-11-23T01:32:37.5523905Z              106 LOAD_CONST               3 (0)
2022-11-23T01:32:37.5523992Z              108 LOAD_CONST               3 (0)
2022-11-23T01:32:37.5524090Z              110 LOAD_CONST               2 (9223372036854775807)
2022-11-23T01:32:37.5524180Z              112 CALL_METHOD              5
2022-11-23T01:32:37.5524285Z              114 STORE_FAST              10 (slice_scatter_2)
2022-11-23T01:32:37.5524292Z 
2022-11-23T01:32:37.5524385Z 4482         116 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5524476Z              118 LOAD_ATTR                1 (ops)
2022-11-23T01:32:37.5524553Z              120 LOAD_ATTR                2 (aten)
2022-11-23T01:32:37.5524644Z              122 LOAD_ATTR                8 (view)
2022-11-23T01:32:37.5524739Z              124 LOAD_METHOD              4 (default)
2022-11-23T01:32:37.5524844Z              126 LOAD_FAST               10 (slice_scatter_2)
2022-11-23T01:32:37.5524987Z              128 LOAD_CONST               4 (-1)
2022-11-23T01:32:37.5525076Z              130 LOAD_CONST               5 (128)
2022-11-23T01:32:37.5525164Z              132 BUILD_LIST               2
2022-11-23T01:32:37.5525238Z              134 CALL_METHOD              2
2022-11-23T01:32:37.5525332Z              136 STORE_FAST              11 (view)
2022-11-23T01:32:37.5525337Z 
2022-11-23T01:32:37.5525428Z 4483         138 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5525523Z              140 LOAD_ATTR                1 (ops)
2022-11-23T01:32:37.5525613Z              142 LOAD_ATTR                2 (aten)
2022-11-23T01:32:37.5525711Z              144 LOAD_ATTR                9 (embedding)
2022-11-23T01:32:37.5525806Z              146 LOAD_METHOD              4 (default)
2022-11-23T01:32:37.5525898Z              148 LOAD_FAST                0 (arg0_1)
2022-11-23T01:32:37.5525976Z              150 LOAD_FAST               11 (view)
2022-11-23T01:32:37.5526067Z              152 LOAD_CONST               1 (1)
2022-11-23T01:32:37.5526156Z              154 CALL_METHOD              3
2022-11-23T01:32:37.5526253Z              156 STORE_FAST              12 (embedding)
2022-11-23T01:32:37.5526258Z 
2022-11-23T01:32:37.5526355Z 4484         158 LOAD_FAST               12 (embedding)
2022-11-23T01:32:37.5526448Z              160 LOAD_FAST                4 (view_1)
2022-11-23T01:32:37.5526537Z              162 BUILD_LIST               2
2022-11-23T01:32:37.5526616Z              164 RETURN_VALUE
2022-11-23T01:32:37.5526665Z  
2022-11-23T01:32:37.5526669Z 
2022-11-23T01:32:37.5526943Z [2022-11-23 01:21:59,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4467
2022-11-23T01:32:37.5527165Z [2022-11-23 01:21:59,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5527529Z [2022-11-23 01:21:59,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5527822Z [2022-11-23 01:21:59,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:37.5528142Z [2022-11-23 01:21:59,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5528415Z [2022-11-23 01:21:59,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.slice_scatter)]
2022-11-23T01:32:37.5528714Z [2022-11-23 01:21:59,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4468
2022-11-23T01:32:37.5529000Z [2022-11-23 01:21:59,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_1 [TorchVariable(aten.slice_scatter.default)]
2022-11-23T01:32:37.5529343Z [2022-11-23 01:21:59,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg3_1 [TorchVariable(aten.slice_scatter.default), TensorVariable()]
2022-11-23T01:32:37.5529669Z [2022-11-23 01:21:59,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5530043Z [2022-11-23 01:21:59,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5530473Z [2022-11-23 01:21:59,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.5530932Z [2022-11-23 01:21:59,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.5531193Z [2022-11-23 01:21:59,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_scatter [TensorVariable()]
2022-11-23T01:32:37.5531460Z [2022-11-23 01:21:59,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4470
2022-11-23T01:32:37.5531682Z [2022-11-23 01:21:59,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5532039Z [2022-11-23 01:21:59,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5532332Z [2022-11-23 01:21:59,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:37.5532646Z [2022-11-23 01:21:59,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5532918Z [2022-11-23 01:21:59,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.slice_scatter)]
2022-11-23T01:32:37.5533167Z [2022-11-23 01:21:59,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4471
2022-11-23T01:32:37.5533454Z [2022-11-23 01:21:59,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg1_1 [TorchVariable(aten.slice_scatter.default)]
2022-11-23T01:32:37.5533777Z [2022-11-23 01:21:59,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter [TorchVariable(aten.slice_scatter.default), TensorVariable()]
2022-11-23T01:32:37.5534112Z [2022-11-23 01:21:59,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5534481Z [2022-11-23 01:21:59,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5534911Z [2022-11-23 01:21:59,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.5535364Z [2022-11-23 01:21:59,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.5535668Z [2022-11-23 01:21:59,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_scatter_1 [TensorVariable()]
2022-11-23T01:32:37.5535929Z [2022-11-23 01:21:59,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4473
2022-11-23T01:32:37.5536147Z [2022-11-23 01:21:59,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5536545Z [2022-11-23 01:21:59,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5536832Z [2022-11-23 01:21:59,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:37.5537121Z [2022-11-23 01:21:59,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5537377Z [2022-11-23 01:21:59,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.slice)]
2022-11-23T01:32:37.5537642Z [2022-11-23 01:21:59,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4474
2022-11-23T01:32:37.5537927Z [2022-11-23 01:21:59,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter_1 [TorchVariable(aten.slice.Tensor)]
2022-11-23T01:32:37.5538219Z [2022-11-23 01:21:59,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice.Tensor), TensorVariable()]
2022-11-23T01:32:37.5538551Z [2022-11-23 01:21:59,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice.Tensor), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5538934Z [2022-11-23 01:21:59,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice.Tensor), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.5539340Z [2022-11-23 01:21:59,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.slice.Tensor), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.5539585Z [2022-11-23 01:21:59,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_2 [TensorVariable()]
2022-11-23T01:32:37.5539848Z [2022-11-23 01:21:59,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4476
2022-11-23T01:32:37.5540065Z [2022-11-23 01:21:59,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5540411Z [2022-11-23 01:21:59,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5540699Z [2022-11-23 01:21:59,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:37.5541019Z [2022-11-23 01:21:59,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR select_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5541291Z [2022-11-23 01:21:59,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.select_scatter)]
2022-11-23T01:32:37.5541558Z [2022-11-23 01:21:59,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4477
2022-11-23T01:32:37.5541846Z [2022-11-23 01:21:59,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_2 [TorchVariable(aten.select_scatter.default)]
2022-11-23T01:32:37.5542159Z [2022-11-23 01:21:59,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST squeeze [TorchVariable(aten.select_scatter.default), TensorVariable()]
2022-11-23T01:32:37.5542493Z [2022-11-23 01:21:59,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.select_scatter.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5542862Z [2022-11-23 01:21:59,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.select_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5543312Z [2022-11-23 01:21:59,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.select_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.5543595Z [2022-11-23 01:21:59,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST select_scatter [TensorVariable()]
2022-11-23T01:32:37.5543845Z [2022-11-23 01:21:59,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4479
2022-11-23T01:32:37.5544060Z [2022-11-23 01:21:59,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5544421Z [2022-11-23 01:21:59,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5544794Z [2022-11-23 01:21:59,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:37.5545109Z [2022-11-23 01:21:59,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5545381Z [2022-11-23 01:21:59,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.slice_scatter)]
2022-11-23T01:32:37.5545645Z [2022-11-23 01:21:59,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4480
2022-11-23T01:32:37.5545944Z [2022-11-23 01:21:59,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter_1 [TorchVariable(aten.slice_scatter.default)]
2022-11-23T01:32:37.5546268Z [2022-11-23 01:21:59,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST select_scatter [TorchVariable(aten.slice_scatter.default), TensorVariable()]
2022-11-23T01:32:37.5546609Z [2022-11-23 01:21:59,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5546978Z [2022-11-23 01:21:59,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5547397Z [2022-11-23 01:21:59,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.5547849Z [2022-11-23 01:21:59,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.5548111Z [2022-11-23 01:21:59,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_scatter_2 [TensorVariable()]
2022-11-23T01:32:37.5548376Z [2022-11-23 01:21:59,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4482
2022-11-23T01:32:37.5548590Z [2022-11-23 01:21:59,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5548950Z [2022-11-23 01:21:59,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5549240Z [2022-11-23 01:21:59,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:37.5549541Z [2022-11-23 01:21:59,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5549795Z [2022-11-23 01:21:59,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.view)]
2022-11-23T01:32:37.5550113Z [2022-11-23 01:21:59,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter_2 [TorchVariable(aten.view.default)]
2022-11-23T01:32:37.5550407Z [2022-11-23 01:21:59,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(aten.view.default), TensorVariable()]
2022-11-23T01:32:37.5550754Z [2022-11-23 01:21:59,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 128 [TorchVariable(aten.view.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5551121Z [2022-11-23 01:21:59,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.view.default), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.5551443Z [2022-11-23 01:21:59,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.view.default), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.5551684Z [2022-11-23 01:21:59,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST view [TensorVariable()]
2022-11-23T01:32:37.5551948Z [2022-11-23 01:21:59,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4483
2022-11-23T01:32:37.5552165Z [2022-11-23 01:21:59,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5552524Z [2022-11-23 01:21:59,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5552812Z [2022-11-23 01:21:59,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:37.5553123Z [2022-11-23 01:21:59,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR embedding [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5553392Z [2022-11-23 01:21:59,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.embedding)]
2022-11-23T01:32:37.5553677Z [2022-11-23 01:21:59,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg0_1 [TorchVariable(aten.embedding.default)]
2022-11-23T01:32:37.5553972Z [2022-11-23 01:21:59,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view [TorchVariable(aten.embedding.default), TensorVariable()]
2022-11-23T01:32:37.5554305Z [2022-11-23 01:21:59,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.embedding.default), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5554676Z [2022-11-23 01:21:59,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.embedding.default), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5554924Z [2022-11-23 01:21:59,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST embedding [TensorVariable()]
2022-11-23T01:32:37.5555187Z [2022-11-23 01:21:59,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4484
2022-11-23T01:32:37.5555407Z [2022-11-23 01:21:59,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST embedding []
2022-11-23T01:32:37.5555648Z [2022-11-23 01:21:59,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view_1 [TensorVariable()]
2022-11-23T01:32:37.5555907Z [2022-11-23 01:21:59,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5556149Z [2022-11-23 01:21:59,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:37.5556485Z [2022-11-23 01:21:59,504] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f63caae0, file "inductor/test_torchinductor.py", line 4466>
2022-11-23T01:32:37.5556713Z [2022-11-23 01:21:59,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:37.5556948Z [2022-11-23 01:21:59,504] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5557356Z [2022-11-23 01:21:59,545] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5557608Z [2022-11-23 01:21:59,561] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5557796Z [2022-11-23 01:21:59,561] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5557982Z  __compiled_fn_215 <eval_with_key>.1336 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5558074Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5558159Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.5558230Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.5558312Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:37.5558394Z placeholder, ex_5_, ex_5_, (), {}
2022-11-23T01:32:37.5558562Z call_function, slice_scatter_default, aten.slice_scatter.default, (ex_5_, ex_2_, 1, 1, 9223372036854775807), {}
2022-11-23T01:32:37.5558753Z call_function, slice_scatter_default_1, aten.slice_scatter.default, (ex_1_, slice_scatter_default, 0, 0, 9223372036854775807), {}
2022-11-23T01:32:37.5558918Z call_function, slice_tensor, aten.slice.Tensor, (slice_scatter_default_1, 0, 0, 9223372036854775807), {}
2022-11-23T01:32:37.5559085Z call_function, select_scatter_default, aten.select_scatter.default, (slice_tensor, ex_3_, 1, 0), {}
2022-11-23T01:32:37.5559296Z call_function, slice_scatter_default_2, aten.slice_scatter.default, (slice_scatter_default_1, select_scatter_default, 0, 0, 9223372036854775807), {}
2022-11-23T01:32:37.5559521Z call_function, view_default, aten.view.default, (slice_scatter_default_2, [-1, 128]), {}
2022-11-23T01:32:37.5559668Z call_function, embedding_default, aten.embedding.default, (ex_0_, view_default, 1), {}
2022-11-23T01:32:37.5559784Z output, output, output, ((embedding_default,),), {}
2022-11-23T01:32:37.5559789Z 
2022-11-23T01:32:37.5560065Z [2022-11-23 01:21:59,562] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5560161Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5560251Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5560344Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5560434Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5560509Z               8 RETURN_VALUE
2022-11-23T01:32:37.5560514Z 
2022-11-23T01:32:37.5560562Z  
2022-11-23T01:32:37.5560839Z [2022-11-23 01:21:59,562] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5560945Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_215)
2022-11-23T01:32:37.5561034Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5561121Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5561197Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5561284Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5561359Z              10 LOAD_CONST               3 (1)
2022-11-23T01:32:37.5561435Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.5561522Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5561608Z              16 LOAD_CONST               4 (2)
2022-11-23T01:32:37.5561681Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.5561766Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5561850Z              22 LOAD_CONST               5 (3)
2022-11-23T01:32:37.5561913Z              24 BINARY_SUBSCR
2022-11-23T01:32:37.5561998Z              26 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5562082Z              28 LOAD_CONST               6 (5)
2022-11-23T01:32:37.5562159Z              30 BINARY_SUBSCR
2022-11-23T01:32:37.5562246Z              32 CALL_FUNCTION            5
2022-11-23T01:32:37.5562346Z              34 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.5562447Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5562532Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5562636Z              40 BINARY_SUBSCR
2022-11-23T01:32:37.5562722Z              42 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5562807Z              44 LOAD_CONST               2 (4)
2022-11-23T01:32:37.5562881Z              46 BINARY_SUBSCR
2022-11-23T01:32:37.5562966Z              48 BUILD_LIST               2
2022-11-23T01:32:37.5563038Z              50 RETURN_VALUE
2022-11-23T01:32:37.5563043Z 
2022-11-23T01:32:37.5563104Z  
2022-11-23T01:32:37.5563306Z [2022-11-23 01:21:59,563] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5563376Z  - 
2022-11-23T01:32:37.5563494Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5563558Z             {
2022-11-23T01:32:37.5563696Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5563881Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 6'],
2022-11-23T01:32:37.5563999Z                 'obj_weakref': None
2022-11-23T01:32:37.5564208Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5564275Z             }
2022-11-23T01:32:37.5564343Z             
2022-11-23T01:32:37.5564414Z  - 
2022-11-23T01:32:37.5564537Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5564601Z             {
2022-11-23T01:32:37.5564742Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5564835Z                 'code': None,
2022-11-23T01:32:37.5565040Z                 'obj_weakref': <weakref at 0x7f7106757590; to 'Tensor' at 0x7f71070c2530>
2022-11-23T01:32:37.5565287Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5565352Z             }
2022-11-23T01:32:37.5565414Z             
2022-11-23T01:32:37.5565481Z  - 
2022-11-23T01:32:37.5565601Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.5565651Z             {
2022-11-23T01:32:37.5565789Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5565896Z                 'code': None,
2022-11-23T01:32:37.5566102Z                 'obj_weakref': <weakref at 0x7f70f2ddc830; to 'Tensor' at 0x7f71070c2e30>
2022-11-23T01:32:37.5566343Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5566406Z             }
2022-11-23T01:32:37.5566467Z             
2022-11-23T01:32:37.5566521Z  - 
2022-11-23T01:32:37.5566644Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.5566706Z             {
2022-11-23T01:32:37.5566843Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5566947Z                 'code': None,
2022-11-23T01:32:37.5567147Z                 'obj_weakref': <weakref at 0x7f71ce002f50; to 'Tensor' at 0x7f71070c22f0>
2022-11-23T01:32:37.5567385Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5567435Z             }
2022-11-23T01:32:37.5567499Z             
2022-11-23T01:32:37.5567566Z  - 
2022-11-23T01:32:37.5567686Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:37.5567748Z             {
2022-11-23T01:32:37.5567885Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5567989Z                 'code': None,
2022-11-23T01:32:37.5568178Z                 'obj_weakref': <weakref at 0x7f7106526770; to 'Tensor' at 0x7f71070c2b30>
2022-11-23T01:32:37.5568421Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5568484Z             }
2022-11-23T01:32:37.5568547Z             
2022-11-23T01:32:37.5568614Z  - 
2022-11-23T01:32:37.5568735Z             local 'ex[4]' TENSOR_MATCH
2022-11-23T01:32:37.5568798Z             {
2022-11-23T01:32:37.5568925Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5569029Z                 'code': None,
2022-11-23T01:32:37.5569230Z                 'obj_weakref': <weakref at 0x7f71066cc290; to 'Tensor' at 0x7f71070c25f0>
2022-11-23T01:32:37.5569503Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5569566Z             }
2022-11-23T01:32:37.5569629Z             
2022-11-23T01:32:37.5569696Z  - 
2022-11-23T01:32:37.5569805Z             local 'ex[5]' TENSOR_MATCH
2022-11-23T01:32:37.5569866Z             {
2022-11-23T01:32:37.5570005Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5570142Z                 'code': None,
2022-11-23T01:32:37.5570342Z                 'obj_weakref': <weakref at 0x7f7106757230; to 'Tensor' at 0x7f70f2ddc350>
2022-11-23T01:32:37.5570581Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5570644Z             }
2022-11-23T01:32:37.5570693Z             
2022-11-23T01:32:37.5570759Z  - 
2022-11-23T01:32:37.5570888Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.5570949Z             {
2022-11-23T01:32:37.5571083Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5571252Z                 'code': ['___check_obj_id(model, 140123423738624)'],
2022-11-23T01:32:37.5571370Z                 'obj_weakref': None
2022-11-23T01:32:37.5571584Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.5571645Z             }
2022-11-23T01:32:37.5571708Z             
2022-11-23T01:32:37.5571775Z  - 
2022-11-23T01:32:37.5571896Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5571961Z             {
2022-11-23T01:32:37.5572094Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5572299Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5572417Z                 'obj_weakref': None
2022-11-23T01:32:37.5572635Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5572700Z             }
2022-11-23T01:32:37.5572767Z             
2022-11-23T01:32:37.5572835Z  - 
2022-11-23T01:32:37.5572968Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.5573018Z             {
2022-11-23T01:32:37.5573136Z                 'guard_types': None,
2022-11-23T01:32:37.5573239Z                 'code': None,
2022-11-23T01:32:37.5573354Z                 'obj_weakref': None
2022-11-23T01:32:37.5573472Z                 'guarded_class': None
2022-11-23T01:32:37.5573535Z             }
2022-11-23T01:32:37.5573598Z             
2022-11-23T01:32:37.5573845Z [2022-11-23 01:21:59,588] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 208
2022-11-23T01:32:37.5574209Z [2022-11-23 01:22:02,151] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6w/c6wwmwl7bqrnrfkzbboev4lo3e4i54jesxstniv7gxvkszhioobx.py
2022-11-23T01:32:37.5574474Z [2022-11-23 01:22:02,151] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 208
2022-11-23T01:32:37.5574482Z 
2022-11-23T01:32:37.5574576Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5574644Z import torch
2022-11-23T01:32:37.5574713Z import random
2022-11-23T01:32:37.5574828Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5574950Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5574955Z 
2022-11-23T01:32:37.5575020Z aten = torch.ops.aten
2022-11-23T01:32:37.5575154Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5575247Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5575252Z 
2022-11-23T01:32:37.5575257Z 
2022-11-23T01:32:37.5575388Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5575592Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5575713Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:37.5575814Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:37.5575915Z                        const long* __restrict__ in_ptr2,
2022-11-23T01:32:37.5576034Z                        const float* __restrict__ in_ptr3,
2022-11-23T01:32:37.5576130Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.5576192Z {
2022-11-23T01:32:37.5576288Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5576350Z     {
2022-11-23T01:32:37.5576429Z         #pragma omp for 
2022-11-23T01:32:37.5576512Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.5576594Z         {
2022-11-23T01:32:37.5576675Z             #pragma GCC ivdep
2022-11-23T01:32:37.5576762Z             for(long i1=0; i1<128; i1+=1)
2022-11-23T01:32:37.5576827Z             {
2022-11-23T01:32:37.5576910Z                 #pragma GCC ivdep
2022-11-23T01:32:37.5577001Z                 for(long i2=0; i2<768; i2+=1)
2022-11-23T01:32:37.5577053Z                 {
2022-11-23T01:32:37.5577121Z                     {
2022-11-23T01:32:37.5577193Z                         {
2022-11-23T01:32:37.5577290Z                             auto tmp3 = in_ptr0[i0];
2022-11-23T01:32:37.5577397Z                             auto tmp8 = in_ptr2[i1 + (128*i0)];
2022-11-23T01:32:37.5577506Z                             auto tmp0 = static_cast<int>(i1);
2022-11-23T01:32:37.5577613Z                             auto tmp1 = static_cast<int>(0);
2022-11-23T01:32:37.5577712Z                             auto tmp2 = tmp0 == tmp1;
2022-11-23T01:32:37.5577804Z                             auto tmp4 = static_cast<int>(1);
2022-11-23T01:32:37.5577901Z                             auto tmp5 = tmp0 >= tmp4;
2022-11-23T01:32:37.5577987Z                             auto tmp6 = 0;
2022-11-23T01:32:37.5578065Z                             if(tmp5)
2022-11-23T01:32:37.5578136Z                             {
2022-11-23T01:32:37.5578311Z                                 auto tmp7 = in_ptr1[(-1) + i1 + (127*i0)];
2022-11-23T01:32:37.5578398Z                                 tmp6 = tmp7;
2022-11-23T01:32:37.5578455Z                             }
2022-11-23T01:32:37.5578562Z                             auto tmp9 = tmp5 ? tmp6 : tmp8;
2022-11-23T01:32:37.5578667Z                             auto tmp10 = tmp2 ? tmp3 : tmp9;
2022-11-23T01:32:37.5578777Z                             auto tmp11 = in_ptr3[i2 + (768*tmp10)];
2022-11-23T01:32:37.5578885Z                             out_ptr0[i2 + (768*i1) + (98304*i0)] = tmp11;
2022-11-23T01:32:37.5578953Z                         }
2022-11-23T01:32:37.5579022Z                     }
2022-11-23T01:32:37.5579074Z                 }
2022-11-23T01:32:37.5579141Z             }
2022-11-23T01:32:37.5579205Z         }
2022-11-23T01:32:37.5579266Z     }
2022-11-23T01:32:37.5579328Z }
2022-11-23T01:32:37.5579406Z ''')
2022-11-23T01:32:37.5579411Z 
2022-11-23T01:32:37.5579415Z 
2022-11-23T01:32:37.5579508Z async_compile.wait(globals())
2022-11-23T01:32:37.5579568Z del async_compile
2022-11-23T01:32:37.5579573Z 
2022-11-23T01:32:37.5579646Z def call(args):
2022-11-23T01:32:37.5579746Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1 = args
2022-11-23T01:32:37.5579820Z     args.clear()
2022-11-23T01:32:37.5580035Z     buf0 = empty_strided((8, 128, 768), (98304, 768, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5580247Z     kernel_cpp_0(c_void_p(arg3_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.5580318Z     del arg0_1
2022-11-23T01:32:37.5580387Z     del arg2_1
2022-11-23T01:32:37.5580441Z     del arg3_1
2022-11-23T01:32:37.5580509Z     del arg4_1
2022-11-23T01:32:37.5580583Z     return (buf0, )
2022-11-23T01:32:37.5580588Z 
2022-11-23T01:32:37.5580592Z 
2022-11-23T01:32:37.5580668Z if __name__ == "__main__":
2022-11-23T01:32:37.5580783Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5580907Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5581115Z     arg0_1 = rand_strided((50005, 768), (768, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5581300Z     arg1_1 = rand_strided((8, 128), (128, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.5581535Z     arg2_1 = rand_strided((8, 127), (127, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.5581721Z     arg3_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.5581911Z     arg4_1 = rand_strided((8, 128), (128, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.5582046Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1]))
2022-11-23T01:32:37.5582050Z 
2022-11-23T01:32:37.5582157Z ok (4.214s)
2022-11-23T01:32:37.5582464Z   test_isinf2_cpu (__main__.CpuTests) ... [2022-11-23 01:22:02,385] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5582732Z [2022-11-23 01:22:02,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5582947Z [2022-11-23 01:22:02,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5583187Z [2022-11-23 01:22:02,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.5583471Z [2022-11-23 01:22:02,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.5583794Z [2022-11-23 01:22:02,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5584121Z [2022-11-23 01:22:02,387] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64339c0, file "inductor/test_torchinductor.py", line 3371> 
2022-11-23T01:32:37.5584217Z  3372           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5584308Z                2 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:37.5584313Z 
2022-11-23T01:32:37.5584404Z 3373           4 LOAD_CONST               1 (1)
2022-11-23T01:32:37.5584567Z                6 LOAD_GLOBAL              2 (float)
2022-11-23T01:32:37.5584711Z                8 LOAD_CONST               2 ('inf')
2022-11-23T01:32:37.5584792Z               10 CALL_FUNCTION            1
2022-11-23T01:32:37.5584881Z               12 LOAD_CONST               3 (2)
2022-11-23T01:32:37.5584973Z               14 LOAD_GLOBAL              2 (float)
2022-11-23T01:32:37.5585113Z               16 LOAD_CONST               4 ('-inf')
2022-11-23T01:32:37.5585204Z               18 CALL_FUNCTION            1
2022-11-23T01:32:37.5585299Z               20 LOAD_GLOBAL              2 (float)
2022-11-23T01:32:37.5585438Z               22 LOAD_CONST               5 ('nan')
2022-11-23T01:32:37.5585513Z               24 CALL_FUNCTION            1
2022-11-23T01:32:37.5585599Z               26 BUILD_LIST               5
2022-11-23T01:32:37.5585689Z               28 LOAD_DEREF               0 (self)
2022-11-23T01:32:37.5585781Z               30 LOAD_ATTR                3 (device)
2022-11-23T01:32:37.5585933Z               32 LOAD_CONST               6 (('device',))
2022-11-23T01:32:37.5586026Z               34 CALL_FUNCTION_KW         2
2022-11-23T01:32:37.5586118Z               36 STORE_FAST               1 (y)
2022-11-23T01:32:37.5586124Z 
2022-11-23T01:32:37.5586199Z 3375          38 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5586289Z               40 LOAD_FAST                1 (y)
2022-11-23T01:32:37.5586382Z               42 COMPARE_OP               2 (==)
2022-11-23T01:32:37.5586458Z               44 RETURN_VALUE
2022-11-23T01:32:37.5586518Z  
2022-11-23T01:32:37.5586523Z 
2022-11-23T01:32:37.5586795Z [2022-11-23 01:22:02,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3372
2022-11-23T01:32:37.5587014Z [2022-11-23 01:22:02,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5587382Z [2022-11-23 01:22:02,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5587645Z [2022-11-23 01:22:02,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3373
2022-11-23T01:32:37.5587995Z [2022-11-23 01:22:02,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.5588359Z [2022-11-23 01:22:02,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(int)]
2022-11-23T01:32:37.5588785Z [2022-11-23 01:22:02,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST inf [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(int), BuiltinVariable(float)]
2022-11-23T01:32:37.5589224Z [2022-11-23 01:22:02,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(int), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:32:37.5589621Z [2022-11-23 01:22:02,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:32:37.5590063Z [2022-11-23 01:22:02,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:37.5590538Z [2022-11-23 01:22:02,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -inf [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), BuiltinVariable(float)]
2022-11-23T01:32:37.5591054Z [2022-11-23 01:22:02,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:32:37.5591536Z [2022-11-23 01:22:02,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float)]
2022-11-23T01:32:37.5592052Z [2022-11-23 01:22:02,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST nan [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float), BuiltinVariable(float)]
2022-11-23T01:32:37.5592603Z [2022-11-23 01:22:02,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float), BuiltinVariable(float), ConstantVariable(str)]
2022-11-23T01:32:37.5593121Z [2022-11-23 01:22:02,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 5 [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:37.5593467Z [2022-11-23 01:22:02,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable()]
2022-11-23T01:32:37.5593889Z [2022-11-23 01:22:02,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable(), UserDefinedObjectVariable(CpuTests)]
2022-11-23T01:32:37.5594285Z [2022-11-23 01:22:02,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable(), ConstantVariable(str)]
2022-11-23T01:32:37.5594717Z [2022-11-23 01:22:02,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.5594989Z [2022-11-23 01:22:02,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST y [TensorVariable()]
2022-11-23T01:32:37.5595253Z [2022-11-23 01:22:02,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3375
2022-11-23T01:32:37.5595475Z [2022-11-23 01:22:02,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.5595711Z [2022-11-23 01:22:02,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:37.5595977Z [2022-11-23 01:22:02,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP == [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5596220Z [2022-11-23 01:22:02,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5596549Z [2022-11-23 01:22:02,395] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64339c0, file "inductor/test_torchinductor.py", line 3371>
2022-11-23T01:32:37.5596792Z [2022-11-23 01:22:02,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5597023Z [2022-11-23 01:22:02,396] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5597408Z [2022-11-23 01:22:02,397] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5597658Z [2022-11-23 01:22:02,403] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5597833Z [2022-11-23 01:22:02,403] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5597966Z  __compiled_fn_216 <eval_with_key>.1342 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5598056Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5598335Z call_function, tensor, <built-in method tensor of type object at 0x7f71f2abebc0>, ([1, inf, 2, -inf, nan],), {'device': 'cpu'}
2022-11-23T01:32:37.5598511Z call_function, eq, <built-in function eq>, (ex_0_, tensor), {}
2022-11-23T01:32:37.5598606Z output, output, output, ((eq,),), {}
2022-11-23T01:32:37.5598611Z 
2022-11-23T01:32:37.5598888Z [2022-11-23 01:22:02,403] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5598983Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5599061Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5599154Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5599244Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5599320Z               8 RETURN_VALUE
2022-11-23T01:32:37.5599326Z 
2022-11-23T01:32:37.5599387Z  
2022-11-23T01:32:37.5599657Z [2022-11-23 01:22:02,404] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5599766Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_216)
2022-11-23T01:32:37.5599856Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5599933Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5600009Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5600095Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.5600199Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.5600325Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:37.5600419Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:37.5600506Z              16 CALL_FUNCTION            0
2022-11-23T01:32:37.5600589Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:37.5600688Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5600776Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5600910Z              24 BINARY_SUBSCR
2022-11-23T01:32:37.5601005Z              26 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5601105Z              28 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:37.5601194Z              30 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5601258Z              32 BINARY_SUBSCR
2022-11-23T01:32:37.5601359Z              34 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:37.5601486Z              36 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5601586Z              38 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:37.5601675Z              40 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5601751Z              42 BINARY_SUBSCR
2022-11-23T01:32:37.5601853Z              44 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:37.5601928Z              46 RETURN_VALUE
2022-11-23T01:32:37.5601933Z 
2022-11-23T01:32:37.5601981Z  
2022-11-23T01:32:37.5602165Z [2022-11-23 01:22:02,405] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5602235Z  - 
2022-11-23T01:32:37.5602352Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5602416Z             {
2022-11-23T01:32:37.5602555Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5602738Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.5602845Z                 'obj_weakref': None
2022-11-23T01:32:37.5603071Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5603137Z             }
2022-11-23T01:32:37.5603200Z             
2022-11-23T01:32:37.5603268Z  - 
2022-11-23T01:32:37.5603391Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5603455Z             {
2022-11-23T01:32:37.5603583Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5603688Z                 'code': None,
2022-11-23T01:32:37.5603897Z                 'obj_weakref': <weakref at 0x7f70f2ddcb30; to 'Tensor' at 0x7f71066b8e30>
2022-11-23T01:32:37.5604147Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5604211Z             }
2022-11-23T01:32:37.5604272Z             
2022-11-23T01:32:37.5604340Z  - 
2022-11-23T01:32:37.5604457Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.5604523Z             {
2022-11-23T01:32:37.5604654Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5604823Z                 'code': ['___check_obj_id(model, 140124011517280)'],
2022-11-23T01:32:37.5604939Z                 'obj_weakref': None
2022-11-23T01:32:37.5605166Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.5605229Z             }
2022-11-23T01:32:37.5605279Z             
2022-11-23T01:32:37.5605346Z  - 
2022-11-23T01:32:37.5605466Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5605530Z             {
2022-11-23T01:32:37.5605664Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5605885Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5606002Z                 'obj_weakref': None
2022-11-23T01:32:37.5606207Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5606269Z             }
2022-11-23T01:32:37.5606330Z             
2022-11-23T01:32:37.5606397Z  - 
2022-11-23T01:32:37.5606571Z             local 'model.__closure__[0].cell_contents' TYPE_MATCH
2022-11-23T01:32:37.5606634Z             {
2022-11-23T01:32:37.5606771Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:37.5606974Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 107271137216416)'],
2022-11-23T01:32:37.5607186Z                 'obj_weakref': <weakref at 0x7f710722bad0; to 'CpuTests' at 0x7f71a9e874d0>
2022-11-23T01:32:37.5607412Z                 'guarded_class': <weakref at 0x7f71a9f8a3b0; to 'type' at 0x6190020747a0 (CpuTests)>
2022-11-23T01:32:37.5607503Z             }
2022-11-23T01:32:37.5607566Z             
2022-11-23T01:32:37.5607633Z  - 
2022-11-23T01:32:37.5607831Z             local 'model.__closure__[0].cell_contents.device' CONSTANT_MATCH
2022-11-23T01:32:37.5607880Z             {
2022-11-23T01:32:37.5608021Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.5608396Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents.device, 94279403881280)', "model.__closure__[0].cell_contents.device == 'cpu'"],
2022-11-23T01:32:37.5608515Z                 'obj_weakref': None
2022-11-23T01:32:37.5608735Z                 'guarded_class': <weakref at 0x7f71f66914d0; to 'type' at 0x55bf2260c340 (str)>
2022-11-23T01:32:37.5608799Z             }
2022-11-23T01:32:37.5608863Z             
2022-11-23T01:32:37.5608918Z  - 
2022-11-23T01:32:37.5609053Z             global 'float' BUILTIN_MATCH
2022-11-23T01:32:37.5609117Z             {
2022-11-23T01:32:37.5609238Z                 'guard_types': None,
2022-11-23T01:32:37.5609345Z                 'code': None,
2022-11-23T01:32:37.5609462Z                 'obj_weakref': None
2022-11-23T01:32:37.5609583Z                 'guarded_class': None
2022-11-23T01:32:37.5609660Z             }
2022-11-23T01:32:37.5609723Z             
2022-11-23T01:32:37.5609793Z  - 
2022-11-23T01:32:37.5609924Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.5609991Z             {
2022-11-23T01:32:37.5610112Z                 'guard_types': None,
2022-11-23T01:32:37.5610219Z                 'code': None,
2022-11-23T01:32:37.5610324Z                 'obj_weakref': None
2022-11-23T01:32:37.5610445Z                 'guarded_class': None
2022-11-23T01:32:37.5610514Z             }
2022-11-23T01:32:37.5610577Z             
2022-11-23T01:32:37.5610839Z [2022-11-23 01:22:02,414] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 209
2022-11-23T01:32:37.5611204Z [2022-11-23 01:22:04,973] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jr/cjrhq2bi6hwfuh634knjj7if7odfey75n7f7f74zfbs4fgktqa6j.py
2022-11-23T01:32:37.5611471Z [2022-11-23 01:22:04,974] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 209
2022-11-23T01:32:37.5611476Z 
2022-11-23T01:32:37.5611568Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5611625Z import torch
2022-11-23T01:32:37.5611696Z import random
2022-11-23T01:32:37.5611812Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5611931Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5611936Z 
2022-11-23T01:32:37.5612014Z aten = torch.ops.aten
2022-11-23T01:32:37.5612147Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5612239Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5612244Z 
2022-11-23T01:32:37.5612248Z 
2022-11-23T01:32:37.5612379Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5612573Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5612692Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.5612790Z                        bool* __restrict__ out_ptr0)
2022-11-23T01:32:37.5612850Z {
2022-11-23T01:32:37.5612946Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5613008Z     {
2022-11-23T01:32:37.5613084Z         #pragma omp for 
2022-11-23T01:32:37.5613152Z         for(long i0=0; i0<5; i0+=1)
2022-11-23T01:32:37.5613216Z         {
2022-11-23T01:32:37.5613277Z             {
2022-11-23T01:32:37.5613341Z                 {
2022-11-23T01:32:37.5613435Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.5613540Z                     auto tmp1 = static_cast<long>(i0);
2022-11-23T01:32:37.5613629Z                     auto tmp2 = static_cast<long>(2);
2022-11-23T01:32:37.5613719Z                     auto tmp3 = tmp1 < tmp2;
2022-11-23T01:32:37.5613818Z                     auto tmp4 = static_cast<long>(1);
2022-11-23T01:32:37.5613943Z                     auto tmp5 = tmp1 < tmp4;
2022-11-23T01:32:37.5614047Z                     auto tmp6 = static_cast<float>(1.0);
2022-11-23T01:32:37.5614194Z                     auto tmp7 = std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.5614292Z                     auto tmp8 = tmp5 ? tmp6 : tmp7;
2022-11-23T01:32:37.5614389Z                     auto tmp9 = static_cast<long>(3);
2022-11-23T01:32:37.5614471Z                     auto tmp10 = tmp1 < tmp9;
2022-11-23T01:32:37.5614601Z                     auto tmp11 = static_cast<float>(2.0);
2022-11-23T01:32:37.5614703Z                     auto tmp12 = static_cast<long>(4);
2022-11-23T01:32:37.5614794Z                     auto tmp13 = tmp1 < tmp12;
2022-11-23T01:32:37.5615039Z                     auto tmp14 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.5615164Z                     auto tmp15 = std::numeric_limits<float>::quiet_NaN();
2022-11-23T01:32:37.5615267Z                     auto tmp16 = tmp13 ? tmp14 : tmp15;
2022-11-23T01:32:37.5615369Z                     auto tmp17 = tmp10 ? tmp11 : tmp16;
2022-11-23T01:32:37.5615455Z                     auto tmp18 = tmp3 ? tmp8 : tmp17;
2022-11-23T01:32:37.5615549Z                     auto tmp19 = tmp0 == tmp18;
2022-11-23T01:32:37.5615633Z                     out_ptr0[i0] = tmp19;
2022-11-23T01:32:37.5615698Z                 }
2022-11-23T01:32:37.5615763Z             }
2022-11-23T01:32:37.5615825Z         }
2022-11-23T01:32:37.5615874Z     }
2022-11-23T01:32:37.5615934Z }
2022-11-23T01:32:37.5616012Z ''')
2022-11-23T01:32:37.5616019Z 
2022-11-23T01:32:37.5616023Z 
2022-11-23T01:32:37.5616112Z async_compile.wait(globals())
2022-11-23T01:32:37.5616183Z del async_compile
2022-11-23T01:32:37.5616188Z 
2022-11-23T01:32:37.5616258Z def call(args):
2022-11-23T01:32:37.5616326Z     arg0_1, = args
2022-11-23T01:32:37.5616397Z     args.clear()
2022-11-23T01:32:37.5616572Z     buf0 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.5616703Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.5616771Z     del arg0_1
2022-11-23T01:32:37.5616842Z     return (buf0, )
2022-11-23T01:32:37.5616848Z 
2022-11-23T01:32:37.5616852Z 
2022-11-23T01:32:37.5616928Z if __name__ == "__main__":
2022-11-23T01:32:37.5617042Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5617164Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5617346Z     arg0_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5617455Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.5617460Z 
2022-11-23T01:32:37.5617527Z ok (2.597s)
2022-11-23T01:32:37.5617831Z   test_isinf_cpu (__main__.CpuTests) ... [2022-11-23 01:22:04,983] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5618103Z [2022-11-23 01:22:04,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5618322Z [2022-11-23 01:22:04,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5618576Z [2022-11-23 01:22:04,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.5618863Z [2022-11-23 01:22:04,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.5619190Z [2022-11-23 01:22:04,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5619517Z [2022-11-23 01:22:04,984] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6433810, file "inductor/test_torchinductor.py", line 3354> 
2022-11-23T01:32:37.5619598Z  3355           0 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5619695Z                2 LOAD_METHOD              0 (isinf)
2022-11-23T01:32:37.5619788Z                4 CALL_METHOD              0
2022-11-23T01:32:37.5619914Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5620015Z                8 LOAD_METHOD              1 (isnan)
2022-11-23T01:32:37.5620103Z               10 CALL_METHOD              0
2022-11-23T01:32:37.5620193Z               12 BUILD_TUPLE              2
2022-11-23T01:32:37.5620257Z               14 RETURN_VALUE
2022-11-23T01:32:37.5620318Z  
2022-11-23T01:32:37.5620323Z 
2022-11-23T01:32:37.5620622Z [2022-11-23 01:22:04,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3355
2022-11-23T01:32:37.5620833Z [2022-11-23 01:22:04,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.5621078Z [2022-11-23 01:22:04,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable()]
2022-11-23T01:32:37.5621361Z [2022-11-23 01:22:04,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:37.5621599Z [2022-11-23 01:22:04,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:37.5621876Z [2022-11-23 01:22:04,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isnan [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5622189Z [2022-11-23 01:22:04,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isnan)]
2022-11-23T01:32:37.5622447Z [2022-11-23 01:22:04,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5622691Z [2022-11-23 01:22:04,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.5623021Z [2022-11-23 01:22:04,991] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6433810, file "inductor/test_torchinductor.py", line 3354>
2022-11-23T01:32:37.5623269Z [2022-11-23 01:22:04,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.5623506Z [2022-11-23 01:22:04,992] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5623761Z [2022-11-23 01:22:04,993] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5624009Z [2022-11-23 01:22:04,999] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5624199Z [2022-11-23 01:22:04,999] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5624336Z  __compiled_fn_217 <eval_with_key>.1348 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5624414Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5624602Z call_method, isinf, isinf, (ex_0_,), {}
2022-11-23T01:32:37.5624700Z call_method, isnan, isnan, (ex_0_,), {}
2022-11-23T01:32:37.5624808Z output, output, output, ((isinf, isnan),), {}
2022-11-23T01:32:37.5624813Z 
2022-11-23T01:32:37.5625096Z [2022-11-23 01:22:05,000] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5625193Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5625283Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5625377Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5625455Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5625532Z               8 RETURN_VALUE
2022-11-23T01:32:37.5625537Z 
2022-11-23T01:32:37.5625598Z  
2022-11-23T01:32:37.5625876Z [2022-11-23 01:22:05,000] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5625984Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_217)
2022-11-23T01:32:37.5626079Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5626170Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5626234Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5626322Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.5626464Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.5626566Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5626656Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5626733Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.5626833Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5626923Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5627026Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.5627114Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.5627188Z              26 RETURN_VALUE
2022-11-23T01:32:37.5627193Z 
2022-11-23T01:32:37.5627254Z  
2022-11-23T01:32:37.5627435Z [2022-11-23 01:22:05,001] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5627503Z  - 
2022-11-23T01:32:37.5627621Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5627672Z             {
2022-11-23T01:32:37.5627810Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5627999Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.5628117Z                 'obj_weakref': None
2022-11-23T01:32:37.5628339Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5628404Z             }
2022-11-23T01:32:37.5628470Z             
2022-11-23T01:32:37.5628525Z  - 
2022-11-23T01:32:37.5628650Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5628717Z             {
2022-11-23T01:32:37.5628863Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5628970Z                 'code': None,
2022-11-23T01:32:37.5629176Z                 'obj_weakref': <weakref at 0x7f71070f90b0; to 'Tensor' at 0x7f7193974050>
2022-11-23T01:32:37.5629424Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5629475Z             }
2022-11-23T01:32:37.5629536Z             
2022-11-23T01:32:37.5629608Z  - 
2022-11-23T01:32:37.5629736Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.5629800Z             {
2022-11-23T01:32:37.5629936Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5630103Z                 'code': ['___check_obj_id(model, 140123422463904)'],
2022-11-23T01:32:37.5630207Z                 'obj_weakref': None
2022-11-23T01:32:37.5630434Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.5630497Z             }
2022-11-23T01:32:37.5630560Z             
2022-11-23T01:32:37.5630628Z  - 
2022-11-23T01:32:37.5630747Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5630809Z             {
2022-11-23T01:32:37.5630932Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5631147Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5631266Z                 'obj_weakref': None
2022-11-23T01:32:37.5631482Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5631549Z             }
2022-11-23T01:32:37.5631610Z             
2022-11-23T01:32:37.5631869Z [2022-11-23 01:22:05,010] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 210
2022-11-23T01:32:37.5632231Z [2022-11-23 01:22:07,566] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/o5/co5apgpr5mi2b5qzcls3dgnljnxbuvezzvzli23j2cidrpaxdz7k.py
2022-11-23T01:32:37.5632494Z [2022-11-23 01:22:07,567] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 210
2022-11-23T01:32:37.5632729Z [2022-11-23 01:22:07,576] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5632993Z [2022-11-23 01:22:07,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5633209Z [2022-11-23 01:22:07,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5633491Z [2022-11-23 01:22:07,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.5633772Z [2022-11-23 01:22:07,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.5634119Z [2022-11-23 01:22:07,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5634444Z [2022-11-23 01:22:07,577] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6433810, file "inductor/test_torchinductor.py", line 3354> 
2022-11-23T01:32:37.5634537Z  3355           0 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5634619Z                2 LOAD_METHOD              0 (isinf)
2022-11-23T01:32:37.5634707Z                4 CALL_METHOD              0
2022-11-23T01:32:37.5634796Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5634890Z                8 LOAD_METHOD              1 (isnan)
2022-11-23T01:32:37.5634975Z               10 CALL_METHOD              0
2022-11-23T01:32:37.5635060Z               12 BUILD_TUPLE              2
2022-11-23T01:32:37.5635136Z               14 RETURN_VALUE
2022-11-23T01:32:37.5635182Z  
2022-11-23T01:32:37.5635187Z 
2022-11-23T01:32:37.5635455Z [2022-11-23 01:22:07,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3355
2022-11-23T01:32:37.5635663Z [2022-11-23 01:22:07,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.5635907Z [2022-11-23 01:22:07,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable()]
2022-11-23T01:32:37.5636184Z [2022-11-23 01:22:07,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), isinf)]
2022-11-23T01:32:37.5636419Z [2022-11-23 01:22:07,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:37.5636690Z [2022-11-23 01:22:07,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isnan [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5636997Z [2022-11-23 01:22:07,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isnan)]
2022-11-23T01:32:37.5637393Z [2022-11-23 01:22:07,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5637634Z [2022-11-23 01:22:07,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.5637968Z [2022-11-23 01:22:07,586] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6433810, file "inductor/test_torchinductor.py", line 3354>
2022-11-23T01:32:37.5638213Z [2022-11-23 01:22:07,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.5638446Z [2022-11-23 01:22:07,586] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5638706Z [2022-11-23 01:22:07,588] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5638954Z [2022-11-23 01:22:07,596] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5639144Z [2022-11-23 01:22:07,596] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5639280Z  __compiled_fn_218 <eval_with_key>.1354 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5639373Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5639457Z call_method, isinf, isinf, (ex_0_,), {}
2022-11-23T01:32:37.5639549Z call_method, isnan, isnan, (ex_0_,), {}
2022-11-23T01:32:37.5639656Z output, output, output, ((isinf, isnan),), {}
2022-11-23T01:32:37.5639662Z 
2022-11-23T01:32:37.5639939Z [2022-11-23 01:22:07,597] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5640099Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5640192Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5640285Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5640378Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5640442Z               8 RETURN_VALUE
2022-11-23T01:32:37.5640447Z 
2022-11-23T01:32:37.5640509Z  
2022-11-23T01:32:37.5640818Z [2022-11-23 01:22:07,597] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5640927Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_218)
2022-11-23T01:32:37.5641017Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5641105Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5641180Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5641256Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.5641358Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.5641461Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5641550Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5641624Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.5641723Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5641813Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5641889Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.5641967Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.5642041Z              26 RETURN_VALUE
2022-11-23T01:32:37.5642046Z 
2022-11-23T01:32:37.5642105Z  
2022-11-23T01:32:37.5642286Z [2022-11-23 01:22:07,599] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5642357Z  - 
2022-11-23T01:32:37.5642473Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5642536Z             {
2022-11-23T01:32:37.5642665Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5642848Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.5642966Z                 'obj_weakref': None
2022-11-23T01:32:37.5643190Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5643255Z             }
2022-11-23T01:32:37.5643318Z             
2022-11-23T01:32:37.5643386Z  - 
2022-11-23T01:32:37.5643496Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5643558Z             {
2022-11-23T01:32:37.5643700Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5643805Z                 'code': None,
2022-11-23T01:32:37.5644012Z                 'obj_weakref': <weakref at 0x7f710667e650; to 'Tensor' at 0x7f7193974050>
2022-11-23T01:32:37.5644256Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5644319Z             }
2022-11-23T01:32:37.5644371Z             
2022-11-23T01:32:37.5644439Z  - 
2022-11-23T01:32:37.5644570Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.5644633Z             {
2022-11-23T01:32:37.5644764Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5644930Z                 'code': ['___check_obj_id(model, 140123422463904)'],
2022-11-23T01:32:37.5645048Z                 'obj_weakref': None
2022-11-23T01:32:37.5645267Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.5645332Z             }
2022-11-23T01:32:37.5645393Z             
2022-11-23T01:32:37.5645461Z  - 
2022-11-23T01:32:37.5645580Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5645642Z             {
2022-11-23T01:32:37.5645763Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5645978Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5646094Z                 'obj_weakref': None
2022-11-23T01:32:37.5646311Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5646404Z             }
2022-11-23T01:32:37.5646467Z             
2022-11-23T01:32:37.5646726Z [2022-11-23 01:22:07,611] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 211
2022-11-23T01:32:37.5647093Z [2022-11-23 01:22:10,194] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ip/cipa6ykj4ctgwyil576pdvfyaejtdvui35ezyiz244vatvwd736i.py
2022-11-23T01:32:37.5647378Z [2022-11-23 01:22:10,194] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 211
2022-11-23T01:32:37.5647395Z 
2022-11-23T01:32:37.5647476Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5647543Z import torch
2022-11-23T01:32:37.5647612Z import random
2022-11-23T01:32:37.5647727Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5647848Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5647853Z 
2022-11-23T01:32:37.5647933Z aten = torch.ops.aten
2022-11-23T01:32:37.5648074Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5648153Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5648159Z 
2022-11-23T01:32:37.5648177Z 
2022-11-23T01:32:37.5648296Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5648501Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5648623Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.5648720Z                        bool* __restrict__ out_ptr0,
2022-11-23T01:32:37.5648814Z                        bool* __restrict__ out_ptr1)
2022-11-23T01:32:37.5648875Z {
2022-11-23T01:32:37.5648972Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5649020Z     {
2022-11-23T01:32:37.5649096Z         #pragma omp for 
2022-11-23T01:32:37.5649176Z         for(long i0=0; i0<5; i0+=1)
2022-11-23T01:32:37.5649239Z         {
2022-11-23T01:32:37.5649301Z             {
2022-11-23T01:32:37.5649366Z                 {
2022-11-23T01:32:37.5649446Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.5649555Z                     auto tmp1 = std::isinf(tmp0);
2022-11-23T01:32:37.5649652Z                     auto tmp2 = std::isnan(tmp0);
2022-11-23T01:32:37.5649736Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:32:37.5649818Z                     out_ptr1[i0] = tmp2;
2022-11-23T01:32:37.5649884Z                 }
2022-11-23T01:32:37.5649947Z             }
2022-11-23T01:32:37.5649998Z         }
2022-11-23T01:32:37.5650057Z     }
2022-11-23T01:32:37.5650117Z }
2022-11-23T01:32:37.5650192Z ''')
2022-11-23T01:32:37.5650197Z 
2022-11-23T01:32:37.5650201Z 
2022-11-23T01:32:37.5650290Z async_compile.wait(globals())
2022-11-23T01:32:37.5650363Z del async_compile
2022-11-23T01:32:37.5650368Z 
2022-11-23T01:32:37.5650438Z def call(args):
2022-11-23T01:32:37.5650507Z     arg0_1, = args
2022-11-23T01:32:37.5650566Z     args.clear()
2022-11-23T01:32:37.5650752Z     buf0 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.5650938Z     buf1 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.5651101Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.5651169Z     del arg0_1
2022-11-23T01:32:37.5651246Z     return (buf0, buf1, )
2022-11-23T01:32:37.5651251Z 
2022-11-23T01:32:37.5651255Z 
2022-11-23T01:32:37.5651330Z if __name__ == "__main__":
2022-11-23T01:32:37.5651438Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5651558Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5651750Z     arg0_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5651858Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.5651863Z 
2022-11-23T01:32:37.5651867Z 
2022-11-23T01:32:37.5651959Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5652028Z import torch
2022-11-23T01:32:37.5652128Z import random
2022-11-23T01:32:37.5652242Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5652348Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5652365Z 
2022-11-23T01:32:37.5652430Z aten = torch.ops.aten
2022-11-23T01:32:37.5652564Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5652656Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5652661Z 
2022-11-23T01:32:37.5652665Z 
2022-11-23T01:32:37.5652830Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5653036Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5653155Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:32:37.5653250Z                        bool* __restrict__ out_ptr0,
2022-11-23T01:32:37.5653331Z                        bool* __restrict__ out_ptr1)
2022-11-23T01:32:37.5653391Z {
2022-11-23T01:32:37.5653490Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5653554Z     {
2022-11-23T01:32:37.5653631Z         #pragma omp for 
2022-11-23T01:32:37.5653713Z         for(long i0=0; i0<5; i0+=1)
2022-11-23T01:32:37.5653778Z         {
2022-11-23T01:32:37.5653828Z             {
2022-11-23T01:32:37.5653894Z                 {
2022-11-23T01:32:37.5653984Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.5654084Z                     auto tmp1 = std::isinf(tmp0);
2022-11-23T01:32:37.5654180Z                     auto tmp2 = std::isnan(tmp0);
2022-11-23T01:32:37.5654266Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:32:37.5654349Z                     out_ptr1[i0] = tmp2;
2022-11-23T01:32:37.5654401Z                 }
2022-11-23T01:32:37.5654462Z             }
2022-11-23T01:32:37.5654526Z         }
2022-11-23T01:32:37.5654586Z     }
2022-11-23T01:32:37.5654646Z }
2022-11-23T01:32:37.5654723Z ''')
2022-11-23T01:32:37.5654729Z 
2022-11-23T01:32:37.5654733Z 
2022-11-23T01:32:37.5654820Z async_compile.wait(globals())
2022-11-23T01:32:37.5654881Z del async_compile
2022-11-23T01:32:37.5654886Z 
2022-11-23T01:32:37.5654954Z def call(args):
2022-11-23T01:32:37.5655022Z     arg0_1, = args
2022-11-23T01:32:37.5655092Z     args.clear()
2022-11-23T01:32:37.5655276Z     buf0 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.5655458Z     buf1 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.5655620Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.5655675Z     del arg0_1
2022-11-23T01:32:37.5655751Z     return (buf0, buf1, )
2022-11-23T01:32:37.5655756Z 
2022-11-23T01:32:37.5655760Z 
2022-11-23T01:32:37.5655835Z if __name__ == "__main__":
2022-11-23T01:32:37.5655946Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5656067Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5656258Z     arg0_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T01:32:37.5656366Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.5656371Z 
2022-11-23T01:32:37.5656438Z ok (5.221s)
2022-11-23T01:32:37.5656731Z   test_kwargs_cpu (__main__.CpuTests) ... [2022-11-23 01:22:10,209] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5657003Z [2022-11-23 01:22:10,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5657224Z [2022-11-23 01:22:10,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5657476Z [2022-11-23 01:22:10,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.5657762Z [2022-11-23 01:22:10,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.5658090Z [2022-11-23 01:22:10,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5658447Z [2022-11-23 01:22:10,210] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f63d5660, file "inductor/test_torchinductor.py", line 4623> 
2022-11-23T01:32:37.5658547Z  4624           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5658650Z                2 LOAD_ATTR                1 (histogramdd)
2022-11-23T01:32:37.5658655Z 
2022-11-23T01:32:37.5658749Z 4625           4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5658781Z 
2022-11-23T01:32:37.5658861Z 4626           6 LOAD_CONST               1 (3)
2022-11-23T01:32:37.5658951Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:37.5659039Z               10 BUILD_LIST               2
2022-11-23T01:32:37.5659044Z 
2022-11-23T01:32:37.5659136Z 4627          12 LOAD_FAST                1 (y)
2022-11-23T01:32:37.5659299Z               14 LOAD_CONST               2 (('bins', 'weight'))
2022-11-23T01:32:37.5659393Z               16 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.5659477Z               18 RETURN_VALUE
2022-11-23T01:32:37.5659538Z  
2022-11-23T01:32:37.5659543Z 
2022-11-23T01:32:37.5659802Z [2022-11-23 01:22:10,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4624
2022-11-23T01:32:37.5660022Z [2022-11-23 01:22:10,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5660405Z [2022-11-23 01:22:10,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR histogramdd [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5660672Z [2022-11-23 01:22:10,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4625
2022-11-23T01:32:37.5661002Z [2022-11-23 01:22:10,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method histogramdd of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.5661264Z [2022-11-23 01:22:10,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4626
2022-11-23T01:32:37.5661629Z [2022-11-23 01:22:10,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<built-in method histogramdd of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.5662030Z [2022-11-23 01:22:10,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<built-in method histogramdd of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5662465Z [2022-11-23 01:22:10,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(<built-in method histogramdd of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.5662729Z [2022-11-23 01:22:10,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4627
2022-11-23T01:32:37.5663114Z [2022-11-23 01:22:10,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method histogramdd of type object at 0x7f71f2abebc0>), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.5663556Z [2022-11-23 01:22:10,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('bins', 'weight') [TorchVariable(<built-in method histogramdd of type object at 0x7f71f2abebc0>), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:37.5664011Z [2022-11-23 01:22:10,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method histogramdd of type object at 0x7f71f2abebc0>), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:37.5664275Z [2022-11-23 01:22:10,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T01:32:37.5664677Z [2022-11-23 01:22:10,233] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f63d5660, file "inductor/test_torchinductor.py", line 4623>
2022-11-23T01:32:37.5664975Z [2022-11-23 01:22:10,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T01:32:37.5665209Z [2022-11-23 01:22:10,233] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5665467Z [2022-11-23 01:22:10,236] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5665742Z [2022-11-23 01:22:10,275] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5665933Z [2022-11-23 01:22:10,276] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5666068Z  __compiled_fn_219 <eval_with_key>.1360 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5666160Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5666235Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.5666532Z call_function, histogramdd, <built-in method histogramdd of type object at 0x7f71f2abebc0>, (ex_0_,), {'bins': [3, 3], 'weight': ex_1_}
2022-11-23T01:32:37.5666734Z call_function, getitem, <built-in function getitem>, (histogramdd, 0), {}
2022-11-23T01:32:37.5666936Z call_function, getitem_1, <built-in function getitem>, (histogramdd, 1), {}
2022-11-23T01:32:37.5667127Z call_function, getitem_2, <built-in function getitem>, (getitem_1, 0), {}
2022-11-23T01:32:37.5667315Z call_function, getitem_3, <built-in function getitem>, (getitem_1, 1), {}
2022-11-23T01:32:37.5667444Z output, output, output, ((getitem, getitem_2, getitem_3),), {}
2022-11-23T01:32:37.5667450Z 
2022-11-23T01:32:37.5667728Z [2022-11-23 01:22:10,276] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5667810Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5667903Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5667997Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5668086Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5668163Z               8 RETURN_VALUE
2022-11-23T01:32:37.5668168Z 
2022-11-23T01:32:37.5668228Z  
2022-11-23T01:32:37.5668500Z [2022-11-23 01:22:10,277] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5668605Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_219)
2022-11-23T01:32:37.5668682Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5668769Z               4 LOAD_CONST               2 (0)
2022-11-23T01:32:37.5668846Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5668932Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5669019Z              10 LOAD_CONST               3 (1)
2022-11-23T01:32:37.5669093Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.5669182Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.5669272Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.5669476Z              18 LOAD_CONST               1 (<class 'torch.return_types.histogramdd'>)
2022-11-23T01:32:37.5669580Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5669665Z              22 LOAD_CONST               2 (0)
2022-11-23T01:32:37.5669741Z              24 BINARY_SUBSCR
2022-11-23T01:32:37.5669839Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5669926Z              28 LOAD_CONST               3 (1)
2022-11-23T01:32:37.5669987Z              30 BINARY_SUBSCR
2022-11-23T01:32:37.5670087Z              32 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5670176Z              34 LOAD_CONST               4 (2)
2022-11-23T01:32:37.5670250Z              36 BINARY_SUBSCR
2022-11-23T01:32:37.5670337Z              38 BUILD_TUPLE              2
2022-11-23T01:32:37.5670422Z              40 BUILD_TUPLE              2
2022-11-23T01:32:37.5670508Z              42 CALL_FUNCTION            1
2022-11-23T01:32:37.5670569Z              44 RETURN_VALUE
2022-11-23T01:32:37.5670574Z 
2022-11-23T01:32:37.5670665Z  
2022-11-23T01:32:37.5670848Z [2022-11-23 01:22:10,278] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5670916Z  - 
2022-11-23T01:32:37.5671032Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5671097Z             {
2022-11-23T01:32:37.5671236Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5671410Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.5671528Z                 'obj_weakref': None
2022-11-23T01:32:37.5671794Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5671859Z             }
2022-11-23T01:32:37.5671922Z             
2022-11-23T01:32:37.5671990Z  - 
2022-11-23T01:32:37.5672113Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5672163Z             {
2022-11-23T01:32:37.5672305Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5672410Z                 'code': None,
2022-11-23T01:32:37.5672621Z                 'obj_weakref': <weakref at 0x7f71062aca10; to 'Tensor' at 0x7f7106e7ab90>
2022-11-23T01:32:37.5672868Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5672931Z             }
2022-11-23T01:32:37.5672993Z             
2022-11-23T01:32:37.5673048Z  - 
2022-11-23T01:32:37.5673168Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.5673230Z             {
2022-11-23T01:32:37.5673372Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5673478Z                 'code': None,
2022-11-23T01:32:37.5673685Z                 'obj_weakref': <weakref at 0x7f710638df50; to 'Tensor' at 0x7f7129f09a70>
2022-11-23T01:32:37.5673933Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5673997Z             }
2022-11-23T01:32:37.5674046Z             
2022-11-23T01:32:37.5674116Z  - 
2022-11-23T01:32:37.5674248Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.5674315Z             {
2022-11-23T01:32:37.5674447Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5674615Z                 'code': ['___check_obj_id(model, 140123418912960)'],
2022-11-23T01:32:37.5674722Z                 'obj_weakref': None
2022-11-23T01:32:37.5674947Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.5675009Z             }
2022-11-23T01:32:37.5675073Z             
2022-11-23T01:32:37.5675140Z  - 
2022-11-23T01:32:37.5675259Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5675322Z             {
2022-11-23T01:32:37.5675446Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5675660Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5675778Z                 'obj_weakref': None
2022-11-23T01:32:37.5675996Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5676062Z             }
2022-11-23T01:32:37.5676125Z             
2022-11-23T01:32:37.5676193Z  - 
2022-11-23T01:32:37.5676362Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.5676424Z             {
2022-11-23T01:32:37.5676540Z                 'guard_types': None,
2022-11-23T01:32:37.5676644Z                 'code': None,
2022-11-23T01:32:37.5676759Z                 'obj_weakref': None
2022-11-23T01:32:37.5676880Z                 'guarded_class': None
2022-11-23T01:32:37.5676944Z             }
2022-11-23T01:32:37.5676995Z             
2022-11-23T01:32:37.5677347Z [2022-11-23 01:22:10,322] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 212
2022-11-23T01:32:37.5677571Z [2022-11-23 01:22:10,324] torch._inductor.graph: [WARNING] Creating implicit fallback for:
2022-11-23T01:32:37.5677681Z   target: aten._histogramdd_bin_edges.default
2022-11-23T01:32:37.5677772Z   args[0]: TensorBox(StorageBox(
2022-11-23T01:32:37.5678082Z     InputBuffer(name='arg0_1', layout=FixedLayout('cpu', torch.float32, size=[4, 2], stride=[2, 1]))
2022-11-23T01:32:37.5678144Z   ))
2022-11-23T01:32:37.5678200Z   args[1]: [3, 3]
2022-11-23T01:32:37.5678345Z   kwargs: {'weight': TensorBox(StorageBox(
2022-11-23T01:32:37.5678580Z     InputBuffer(name='arg1_1', layout=FixedLayout('cpu', torch.float32, size=[4], stride=[1]))
2022-11-23T01:32:37.5678642Z   ))}
2022-11-23T01:32:37.5678961Z [2022-11-23 01:22:10,340] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten._histogramdd_bin_edges.default
2022-11-23T01:32:37.5679185Z [2022-11-23 01:22:10,342] torch._inductor.graph: [WARNING] Creating implicit fallback for:
2022-11-23T01:32:37.5679299Z   target: aten._histogramdd_from_bin_cts.default
2022-11-23T01:32:37.5679387Z   args[0]: TensorBox(StorageBox(
2022-11-23T01:32:37.5679612Z     InputBuffer(name='arg0_1', layout=FixedLayout('cpu', torch.float32, size=[4, 2], stride=[2, 1]))
2022-11-23T01:32:37.5679673Z   ))
2022-11-23T01:32:37.5679743Z   args[1]: [3, 3]
2022-11-23T01:32:37.5679883Z   kwargs: {'weight': TensorBox(StorageBox(
2022-11-23T01:32:37.5680113Z     InputBuffer(name='arg1_1', layout=FixedLayout('cpu', torch.float32, size=[4], stride=[1]))
2022-11-23T01:32:37.5680175Z   ))}
2022-11-23T01:32:37.5680451Z [2022-11-23 01:22:10,357] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten._histogramdd_from_bin_cts.default
2022-11-23T01:32:37.5680810Z [2022-11-23 01:22:10,361] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yj/cyj2k5u3wllhqvofhcsxymbxgpjllqngqwqzuk2ta3vgsnjg3kwl.py
2022-11-23T01:32:37.5681075Z [2022-11-23 01:22:10,361] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 212
2022-11-23T01:32:37.5681082Z 
2022-11-23T01:32:37.5681175Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5681243Z import torch
2022-11-23T01:32:37.5681311Z import random
2022-11-23T01:32:37.5681424Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5681545Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5681550Z 
2022-11-23T01:32:37.5681628Z aten = torch.ops.aten
2022-11-23T01:32:37.5681752Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5681841Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5681846Z 
2022-11-23T01:32:37.5681851Z 
2022-11-23T01:32:37.5681938Z async_compile.wait(globals())
2022-11-23T01:32:37.5682008Z del async_compile
2022-11-23T01:32:37.5682013Z 
2022-11-23T01:32:37.5682084Z def call(args):
2022-11-23T01:32:37.5682158Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.5682228Z     args.clear()
2022-11-23T01:32:37.5682381Z     buf0 = torch.ops.aten._histogramdd_bin_edges.default(arg0_1, [3, 3], weight=arg1_1)
2022-11-23T01:32:37.5682438Z     buf1 = buf0[0]
2022-11-23T01:32:37.5682534Z     assert_size_stride(buf1, (4, ), (1, ))
2022-11-23T01:32:37.5682601Z     buf2 = buf0[1]
2022-11-23T01:32:37.5682691Z     assert_size_stride(buf2, (4, ), (1, ))
2022-11-23T01:32:37.5682758Z     del buf0
2022-11-23T01:32:37.5682911Z     buf3 = torch.ops.aten._histogramdd_from_bin_cts.default(arg0_1, [3, 3], weight=arg1_1)
2022-11-23T01:32:37.5682978Z     del arg0_1
2022-11-23T01:32:37.5683030Z     del arg1_1
2022-11-23T01:32:37.5683100Z     buf4 = buf3
2022-11-23T01:32:37.5683195Z     assert_size_stride(buf4, (3, 3), (3, 1))
2022-11-23T01:32:37.5683262Z     del buf3
2022-11-23T01:32:37.5683344Z     return (buf4, buf1, buf2, )
2022-11-23T01:32:37.5683348Z 
2022-11-23T01:32:37.5683352Z 
2022-11-23T01:32:37.5683430Z if __name__ == "__main__":
2022-11-23T01:32:37.5683544Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5683653Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5683848Z     arg0_1 = rand_strided((4, 2), (2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5684037Z     arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5684156Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.5684193Z 
2022-11-23T01:32:37.5684259Z ok (0.166s)
2022-11-23T01:32:37.5684560Z   test_l1_loss_cpu (__main__.CpuTests) ... [2022-11-23 01:22:10,371] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5684830Z [2022-11-23 01:22:10,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5685048Z [2022-11-23 01:22:10,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5685326Z [2022-11-23 01:22:10,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.5685600Z [2022-11-23 01:22:10,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.5685921Z [2022-11-23 01:22:10,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5686245Z [2022-11-23 01:22:10,371] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f642e300, file "inductor/test_torchinductor.py", line 3147> 
2022-11-23T01:32:37.5686343Z  3148           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5686438Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:32:37.5686540Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:32:37.5686637Z                6 LOAD_METHOD              3 (l1_loss)
2022-11-23T01:32:37.5686730Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5686807Z               10 LOAD_FAST                1 (b)
2022-11-23T01:32:37.5686898Z               12 CALL_METHOD              2
2022-11-23T01:32:37.5686991Z               14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5687085Z               16 LOAD_ATTR                1 (nn)
2022-11-23T01:32:37.5687183Z               18 LOAD_ATTR                2 (functional)
2022-11-23T01:32:37.5687278Z               20 LOAD_METHOD              4 (mse_loss)
2022-11-23T01:32:37.5687369Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:37.5687456Z               24 LOAD_FAST                1 (b)
2022-11-23T01:32:37.5687534Z               26 CALL_METHOD              2
2022-11-23T01:32:37.5687624Z               28 BUILD_TUPLE              2
2022-11-23T01:32:37.5687698Z               30 RETURN_VALUE
2022-11-23T01:32:37.5687759Z  
2022-11-23T01:32:37.5687764Z 
2022-11-23T01:32:37.5688033Z [2022-11-23 01:22:10,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3148
2022-11-23T01:32:37.5688251Z [2022-11-23 01:22:10,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5688613Z [2022-11-23 01:22:10,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5688993Z [2022-11-23 01:22:10,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.7/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:37.5689383Z [2022-11-23 01:22:10,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR l1_loss [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:37.5689674Z [2022-11-23 01:22:10,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function l1_loss at 0x7f71ce6448c0>)]
2022-11-23T01:32:37.5689985Z [2022-11-23 01:22:10,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<function l1_loss at 0x7f71ce6448c0>), TensorVariable()]
2022-11-23T01:32:37.5690332Z [2022-11-23 01:22:10,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<function l1_loss at 0x7f71ce6448c0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5690576Z [2022-11-23 01:22:10,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.5690997Z [2022-11-23 01:22:10,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5691401Z [2022-11-23 01:22:10,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TensorVariable(), TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.7/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:37.5691863Z [2022-11-23 01:22:10,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mse_loss [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:37.5692180Z [2022-11-23 01:22:10,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<function mse_loss at 0x7f71ce644950>)]
2022-11-23T01:32:37.5692519Z [2022-11-23 01:22:10,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<function mse_loss at 0x7f71ce644950>), TensorVariable()]
2022-11-23T01:32:37.5692900Z [2022-11-23 01:22:10,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<function mse_loss at 0x7f71ce644950>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5693169Z [2022-11-23 01:22:10,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5693418Z [2022-11-23 01:22:10,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.5693733Z [2022-11-23 01:22:10,386] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f642e300, file "inductor/test_torchinductor.py", line 3147>
2022-11-23T01:32:37.5693974Z [2022-11-23 01:22:10,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.5694206Z [2022-11-23 01:22:10,386] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5694463Z [2022-11-23 01:22:10,388] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5694709Z [2022-11-23 01:22:10,397] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5694895Z [2022-11-23 01:22:10,398] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5695030Z  __compiled_fn_220 <eval_with_key>.1366 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5695118Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5695205Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.5695327Z call_function, l1_loss, <function l1_loss at 0x7f71ce6448c0>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.5695463Z call_function, mse_loss, <function mse_loss at 0x7f71ce644950>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.5695572Z output, output, output, ((l1_loss, mse_loss),), {}
2022-11-23T01:32:37.5695580Z 
2022-11-23T01:32:37.5695856Z [2022-11-23 01:22:10,398] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5695947Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5696036Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5696127Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5696217Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5696284Z               8 RETURN_VALUE
2022-11-23T01:32:37.5696289Z 
2022-11-23T01:32:37.5696348Z  
2022-11-23T01:32:37.5696617Z [2022-11-23 01:22:10,398] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5696723Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_220)
2022-11-23T01:32:37.5696812Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5696901Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5696976Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5697084Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5697171Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5697244Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.5697334Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.5697438Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.5697537Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5697652Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5697715Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.5697812Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5697898Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5697974Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.5698061Z              30 BUILD_TUPLE              2
2022-11-23T01:32:37.5698133Z              32 RETURN_VALUE
2022-11-23T01:32:37.5698138Z 
2022-11-23T01:32:37.5698200Z  
2022-11-23T01:32:37.5698384Z [2022-11-23 01:22:10,399] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5698440Z  - 
2022-11-23T01:32:37.5698557Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5698620Z             {
2022-11-23T01:32:37.5698761Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5698943Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.5699062Z                 'obj_weakref': None
2022-11-23T01:32:37.5699285Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5699337Z             }
2022-11-23T01:32:37.5699399Z             
2022-11-23T01:32:37.5699466Z  - 
2022-11-23T01:32:37.5699589Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5699652Z             {
2022-11-23T01:32:37.5699792Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5699886Z                 'code': None,
2022-11-23T01:32:37.5700096Z                 'obj_weakref': <weakref at 0x7f71062acbf0; to 'Tensor' at 0x7f7106ec5a10>
2022-11-23T01:32:37.5700342Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5700403Z             }
2022-11-23T01:32:37.5700466Z             
2022-11-23T01:32:37.5700537Z  - 
2022-11-23T01:32:37.5700659Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.5700709Z             {
2022-11-23T01:32:37.5700852Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5700959Z                 'code': None,
2022-11-23T01:32:37.5701165Z                 'obj_weakref': <weakref at 0x7f710623f9b0; to 'Tensor' at 0x7f710667e470>
2022-11-23T01:32:37.5701415Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5701480Z             }
2022-11-23T01:32:37.5701544Z             
2022-11-23T01:32:37.5701614Z  - 
2022-11-23T01:32:37.5701732Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.5701798Z             {
2022-11-23T01:32:37.5701933Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5702106Z                 'code': ['___check_obj_id(model, 140123411126032)'],
2022-11-23T01:32:37.5702228Z                 'obj_weakref': None
2022-11-23T01:32:37.5702456Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.5702521Z             }
2022-11-23T01:32:37.5702573Z             
2022-11-23T01:32:37.5702642Z  - 
2022-11-23T01:32:37.5702764Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5702828Z             {
2022-11-23T01:32:37.5702965Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5703185Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5703304Z                 'obj_weakref': None
2022-11-23T01:32:37.5703511Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5703605Z             }
2022-11-23T01:32:37.5703668Z             
2022-11-23T01:32:37.5703740Z  - 
2022-11-23T01:32:37.5703878Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.5703942Z             {
2022-11-23T01:32:37.5704048Z                 'guard_types': None,
2022-11-23T01:32:37.5704156Z                 'code': None,
2022-11-23T01:32:37.5704277Z                 'obj_weakref': None
2022-11-23T01:32:37.5704516Z                 'guarded_class': None
2022-11-23T01:32:37.5704585Z             }
2022-11-23T01:32:37.5704649Z             
2022-11-23T01:32:37.5704917Z [2022-11-23 01:22:10,415] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 213
2022-11-23T01:32:37.5705289Z [2022-11-23 01:22:12,957] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oz/cozwwthxk7lyyiwlwfiw54rf6drdkhay63fwnejgzycb3x4dti2i.py
2022-11-23T01:32:37.5705539Z [2022-11-23 01:22:12,957] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 213
2022-11-23T01:32:37.5705547Z 
2022-11-23T01:32:37.5705644Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5705714Z import torch
2022-11-23T01:32:37.5705784Z import random
2022-11-23T01:32:37.5705898Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5706021Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5706026Z 
2022-11-23T01:32:37.5706105Z aten = torch.ops.aten
2022-11-23T01:32:37.5706228Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5706322Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5706327Z 
2022-11-23T01:32:37.5706332Z 
2022-11-23T01:32:37.5706467Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5706674Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5706792Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.5706896Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:32:37.5707004Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.5707108Z                        const float* __restrict__ in_ptr1)
2022-11-23T01:32:37.5707156Z {
2022-11-23T01:32:37.5707241Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T01:32:37.5707325Z     auto out_ptr1 = in_out_ptr1;
2022-11-23T01:32:37.5707387Z     {
2022-11-23T01:32:37.5707585Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:37.5707661Z         float tmp4 = 0;
2022-11-23T01:32:37.5707784Z         auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2022-11-23T01:32:37.5707857Z         float tmp6 = 0;
2022-11-23T01:32:37.5707957Z         auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:32:37.5708059Z         #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5708122Z         {
2022-11-23T01:32:37.5708255Z             #pragma omp for reduction(+:tmp4_vec) reduction(+:tmp6_vec) 
2022-11-23T01:32:37.5708344Z             for(long i0=0; i0<96; i0+=1)
2022-11-23T01:32:37.5708407Z             {
2022-11-23T01:32:37.5708538Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.5708656Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:37.5708786Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.5708871Z                 auto tmp3 = tmp2.abs();
2022-11-23T01:32:37.5708959Z                 auto tmp5 = tmp2 * tmp2;
2022-11-23T01:32:37.5709039Z                 tmp4_vec += tmp3;
2022-11-23T01:32:37.5709114Z                 tmp6_vec += tmp5;
2022-11-23T01:32:37.5709176Z             }
2022-11-23T01:32:37.5709373Z             tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp4_vec);
2022-11-23T01:32:37.5709553Z             tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:32:37.5709763Z             #pragma omp for simd simdlen(8) reduction(+:tmp4) reduction(+:tmp6) 
2022-11-23T01:32:37.5709853Z             for(long i0=1536; i0<1536; i0+=1)
2022-11-23T01:32:37.5709915Z             {
2022-11-23T01:32:37.5710001Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.5710086Z                 auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:37.5710213Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.5710338Z                 auto tmp3 = std::abs(tmp2);
2022-11-23T01:32:37.5710412Z                 auto tmp5 = tmp2 * tmp2;
2022-11-23T01:32:37.5710486Z                 tmp4 += tmp3;
2022-11-23T01:32:37.5710560Z                 tmp6 += tmp5;
2022-11-23T01:32:37.5710624Z             }
2022-11-23T01:32:37.5710688Z         }
2022-11-23T01:32:37.5710765Z         out_ptr0[0] = tmp4;
2022-11-23T01:32:37.5710826Z         out_ptr1[0] = tmp6;
2022-11-23T01:32:37.5710889Z     }
2022-11-23T01:32:37.5710949Z     {
2022-11-23T01:32:37.5711015Z         {
2022-11-23T01:32:37.5711102Z             auto tmp0 = out_ptr0[0];
2022-11-23T01:32:37.5711205Z             auto tmp1 = static_cast<float>(1536);
2022-11-23T01:32:37.5711289Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:37.5711356Z             in_out_ptr0[0] = tmp2;
2022-11-23T01:32:37.5711418Z         }
2022-11-23T01:32:37.5711479Z     }
2022-11-23T01:32:37.5711539Z     {
2022-11-23T01:32:37.5711602Z         {
2022-11-23T01:32:37.5711685Z             auto tmp0 = out_ptr1[0];
2022-11-23T01:32:37.5711786Z             auto tmp1 = static_cast<float>(1536);
2022-11-23T01:32:37.5711856Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:37.5711934Z             in_out_ptr1[0] = tmp2;
2022-11-23T01:32:37.5711996Z         }
2022-11-23T01:32:37.5712056Z     }
2022-11-23T01:32:37.5712118Z }
2022-11-23T01:32:37.5712196Z ''')
2022-11-23T01:32:37.5712202Z 
2022-11-23T01:32:37.5712206Z 
2022-11-23T01:32:37.5712294Z async_compile.wait(globals())
2022-11-23T01:32:37.5712354Z del async_compile
2022-11-23T01:32:37.5712361Z 
2022-11-23T01:32:37.5712430Z def call(args):
2022-11-23T01:32:37.5712504Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.5712574Z     args.clear()
2022-11-23T01:32:37.5712761Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5712942Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5713024Z     buf2 = buf0; del buf0  # reuse
2022-11-23T01:32:37.5713093Z     buf3 = buf1; del buf1  # reuse
2022-11-23T01:32:37.5713282Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()))
2022-11-23T01:32:37.5713350Z     del arg0_1
2022-11-23T01:32:37.5713415Z     del arg1_1
2022-11-23T01:32:37.5713491Z     return (buf2, buf3, )
2022-11-23T01:32:37.5713495Z 
2022-11-23T01:32:37.5713500Z 
2022-11-23T01:32:37.5713575Z if __name__ == "__main__":
2022-11-23T01:32:37.5713686Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5713806Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5714013Z     arg0_1 = rand_strided((2, 3, 16, 16), (768, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5714229Z     arg1_1 = rand_strided((2, 3, 16, 16), (768, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5714342Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.5714348Z 
2022-11-23T01:32:37.5714413Z ok (2.597s)
2022-11-23T01:32:37.5714722Z   test_layer_norm_cpu (__main__.CpuTests) ... [2022-11-23 01:22:12,969] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5714992Z [2022-11-23 01:22:12,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5715204Z [2022-11-23 01:22:12,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5715444Z [2022-11-23 01:22:12,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.5715738Z [2022-11-23 01:22:12,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.5716052Z [2022-11-23 01:22:12,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5716295Z [2022-11-23 01:22:12,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5716572Z [2022-11-23 01:22:12,985] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5716825Z [2022-11-23 01:22:12,986] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5717070Z [2022-11-23 01:22:12,999] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5717407Z [2022-11-23 01:22:13,000] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5717544Z  __compiled_fn_221 <eval_with_key>.1372 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5717634Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5717720Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.5717821Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.5717921Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.5717926Z 
2022-11-23T01:32:37.5718204Z [2022-11-23 01:22:13,000] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5718297Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5718387Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5718479Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5718569Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5718631Z               8 RETURN_VALUE
2022-11-23T01:32:37.5718637Z 
2022-11-23T01:32:37.5718698Z  
2022-11-23T01:32:37.5718974Z [2022-11-23 01:22:13,000] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5719084Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_221)
2022-11-23T01:32:37.5719173Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5719261Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5719335Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5719410Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.5719501Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.5719575Z              12 RETURN_VALUE
2022-11-23T01:32:37.5719580Z 
2022-11-23T01:32:37.5719639Z  
2022-11-23T01:32:37.5719821Z [2022-11-23 01:22:13,001] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5719890Z  - 
2022-11-23T01:32:37.5720006Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5720057Z             {
2022-11-23T01:32:37.5720196Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5720379Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.5720499Z                 'obj_weakref': None
2022-11-23T01:32:37.5720721Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5720786Z             }
2022-11-23T01:32:37.5720850Z             
2022-11-23T01:32:37.5720919Z  - 
2022-11-23T01:32:37.5721028Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5721088Z             {
2022-11-23T01:32:37.5721231Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5721335Z                 'code': None,
2022-11-23T01:32:37.5721539Z                 'obj_weakref': <weakref at 0x7f710623f5f0; to 'Tensor' at 0x7f7193acb470>
2022-11-23T01:32:37.5721784Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5721848Z             }
2022-11-23T01:32:37.5721897Z             
2022-11-23T01:32:37.5721963Z  - 
2022-11-23T01:32:37.5722140Z             local 'model' NN_MODULE
2022-11-23T01:32:37.5722202Z             {
2022-11-23T01:32:37.5722336Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5722506Z                 'code': ['___check_obj_id(model, 140123418527888)'],
2022-11-23T01:32:37.5722721Z                 'obj_weakref': <weakref at 0x7f70f2c722f0; to 'Sequential' at 0x7f7106960890>
2022-11-23T01:32:37.5722978Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.5723041Z             }
2022-11-23T01:32:37.5723105Z             
2022-11-23T01:32:37.5723175Z  - 
2022-11-23T01:32:37.5723298Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5723362Z             {
2022-11-23T01:32:37.5723500Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5723703Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5723821Z                 'obj_weakref': None
2022-11-23T01:32:37.5724039Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5724103Z             }
2022-11-23T01:32:37.5724168Z             
2022-11-23T01:32:37.5724238Z  - 
2022-11-23T01:32:37.5724384Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.5724434Z             {
2022-11-23T01:32:37.5724553Z                 'guard_types': None,
2022-11-23T01:32:37.5724658Z                 'code': None,
2022-11-23T01:32:37.5724775Z                 'obj_weakref': None
2022-11-23T01:32:37.5724894Z                 'guarded_class': None
2022-11-23T01:32:37.5724960Z             }
2022-11-23T01:32:37.5725009Z             
2022-11-23T01:32:37.5725075Z  - 
2022-11-23T01:32:37.5725219Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.5725281Z             {
2022-11-23T01:32:37.5725397Z                 'guard_types': None,
2022-11-23T01:32:37.5725501Z                 'code': None,
2022-11-23T01:32:37.5725616Z                 'obj_weakref': None
2022-11-23T01:32:37.5725725Z                 'guarded_class': None
2022-11-23T01:32:37.5725785Z             }
2022-11-23T01:32:37.5725847Z             
2022-11-23T01:32:37.5726104Z [2022-11-23 01:22:13,094] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 214
2022-11-23T01:32:37.5726472Z [2022-11-23 01:22:15,758] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6p/c6p47hg5dbzlyfky5ubrb6aacaashcmks7e73hecocblp6av4ls5.py
2022-11-23T01:32:37.5726737Z [2022-11-23 01:22:15,758] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 214
2022-11-23T01:32:37.5726743Z 
2022-11-23T01:32:37.5726835Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5726904Z import torch
2022-11-23T01:32:37.5726961Z import random
2022-11-23T01:32:37.5727074Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5727197Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5727202Z 
2022-11-23T01:32:37.5727284Z aten = torch.ops.aten
2022-11-23T01:32:37.5727416Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5727506Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5727511Z 
2022-11-23T01:32:37.5727516Z 
2022-11-23T01:32:37.5727648Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5727851Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5727956Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.5728056Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:32:37.5728160Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.5728262Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.5728363Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.5728460Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.5728556Z                        float* __restrict__ out_ptr3)
2022-11-23T01:32:37.5728640Z {
2022-11-23T01:32:37.5728723Z     auto out_ptr2 = in_out_ptr0;
2022-11-23T01:32:37.5728805Z     auto out_ptr1 = in_out_ptr1;
2022-11-23T01:32:37.5728900Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5728962Z     {
2022-11-23T01:32:37.5729037Z         #pragma omp for 
2022-11-23T01:32:37.5729117Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:37.5729167Z         {
2022-11-23T01:32:37.5729230Z             {
2022-11-23T01:32:37.5729452Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:37.5729531Z                 float tmp1 = 0;
2022-11-23T01:32:37.5729652Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:32:37.5729773Z                 for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:37.5729837Z                 {
2022-11-23T01:32:37.5729979Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (16*i1) + (32*i0));
2022-11-23T01:32:37.5730049Z                     tmp1_vec += tmp0;
2022-11-23T01:32:37.5730113Z                 }
2022-11-23T01:32:37.5730306Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T01:32:37.5730424Z                 #pragma omp simd simdlen(8)  reduction(+:tmp1)
2022-11-23T01:32:37.5730514Z                 for(long i1=32; i1<32; i1+=1)
2022-11-23T01:32:37.5730579Z                 {
2022-11-23T01:32:37.5730678Z                     auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:32:37.5730742Z                     tmp1 += tmp0;
2022-11-23T01:32:37.5730805Z                 }
2022-11-23T01:32:37.5730885Z                 out_ptr0[i0] = tmp1;
2022-11-23T01:32:37.5730948Z             }
2022-11-23T01:32:37.5731010Z         }
2022-11-23T01:32:37.5731086Z         #pragma omp for 
2022-11-23T01:32:37.5731166Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:37.5731215Z         {
2022-11-23T01:32:37.5731280Z             {
2022-11-23T01:32:37.5731466Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:37.5731544Z                 float tmp6 = 0;
2022-11-23T01:32:37.5731666Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:32:37.5731742Z                 float tmp7 = 0;
2022-11-23T01:32:37.5731859Z                 auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T01:32:37.5731949Z                 for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:37.5732001Z                 {
2022-11-23T01:32:37.5732142Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (16*i1) + (32*i0));
2022-11-23T01:32:37.5732269Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T01:32:37.5732404Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(32));
2022-11-23T01:32:37.5732495Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:37.5732633Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:37.5732721Z                     auto tmp5 = tmp4.pow(2);
2022-11-23T01:32:37.5732802Z                     tmp6_vec += tmp5;
2022-11-23T01:32:37.5732868Z                     tmp7_vec += tmp0;
2022-11-23T01:32:37.5732930Z                 }
2022-11-23T01:32:37.5733129Z                 tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:32:37.5733320Z                 tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2022-11-23T01:32:37.5733458Z                 #pragma omp simd simdlen(8)  reduction(+:tmp6) reduction(+:tmp7)
2022-11-23T01:32:37.5733547Z                 for(long i1=32; i1<32; i1+=1)
2022-11-23T01:32:37.5733611Z                 {
2022-11-23T01:32:37.5733708Z                     auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:32:37.5733818Z                     auto tmp1 = out_ptr0[i0];
2022-11-23T01:32:37.5733919Z                     auto tmp2 = static_cast<float>(32);
2022-11-23T01:32:37.5734009Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:37.5734142Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:37.5734229Z                     auto tmp5 = tmp4 * tmp4;
2022-11-23T01:32:37.5734305Z                     tmp6 += tmp5;
2022-11-23T01:32:37.5734379Z                     tmp7 += tmp0;
2022-11-23T01:32:37.5734459Z                 }
2022-11-23T01:32:37.5734540Z                 out_ptr1[i0] = tmp6;
2022-11-23T01:32:37.5734617Z                 out_ptr2[i0] = tmp7;
2022-11-23T01:32:37.5734682Z             }
2022-11-23T01:32:37.5734746Z         }
2022-11-23T01:32:37.5734824Z         #pragma omp for 
2022-11-23T01:32:37.5734908Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:37.5734958Z         {
2022-11-23T01:32:37.5735094Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr2 + 16*i0);
2022-11-23T01:32:37.5735230Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(32));
2022-11-23T01:32:37.5735319Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:37.5735414Z             tmp2.store(in_out_ptr0 + 16*i0);
2022-11-23T01:32:37.5735479Z         }
2022-11-23T01:32:37.5735574Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.5735643Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:37.5735706Z         {
2022-11-23T01:32:37.5735792Z             auto tmp0 = out_ptr2[i0];
2022-11-23T01:32:37.5735892Z             auto tmp1 = static_cast<float>(32);
2022-11-23T01:32:37.5735977Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:37.5736059Z             in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.5736122Z         }
2022-11-23T01:32:37.5736184Z         #pragma omp for 
2022-11-23T01:32:37.5736266Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:37.5736329Z         {
2022-11-23T01:32:37.5736461Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 16*i0);
2022-11-23T01:32:37.5736595Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(32));
2022-11-23T01:32:37.5736679Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:37.5736884Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:37.5736955Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:37.5737039Z             auto tmp5 = tmp4.sqrt();
2022-11-23T01:32:37.5737136Z             auto tmp6 = tmp5.reciprocal();
2022-11-23T01:32:37.5737234Z             tmp6.store(in_out_ptr1 + 16*i0);
2022-11-23T01:32:37.5737298Z         }
2022-11-23T01:32:37.5737393Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.5737477Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:37.5737526Z         {
2022-11-23T01:32:37.5737611Z             auto tmp0 = out_ptr1[i0];
2022-11-23T01:32:37.5737712Z             auto tmp1 = static_cast<float>(32);
2022-11-23T01:32:37.5737796Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:37.5737946Z             auto tmp3 = static_cast<float>(1e-05);
2022-11-23T01:32:37.5738032Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:37.5738124Z             auto tmp5 = std::sqrt(tmp4);
2022-11-23T01:32:37.5738190Z             auto tmp6 = 1 / tmp5;
2022-11-23T01:32:37.5738274Z             in_out_ptr1[i0] = tmp6;
2022-11-23T01:32:37.5738337Z         }
2022-11-23T01:32:37.5738413Z         #pragma omp for 
2022-11-23T01:32:37.5738496Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:37.5738559Z         {
2022-11-23T01:32:37.5738643Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:37.5738694Z             {
2022-11-23T01:32:37.5738836Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (16*i1) + (32*i0));
2022-11-23T01:32:37.5738966Z                 auto tmp1 = at::vec::Vectorized<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.5739093Z                 auto tmp3 = at::vec::Vectorized<float>(in_out_ptr1[i0]);
2022-11-23T01:32:37.5739227Z                 auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i1);
2022-11-23T01:32:37.5739394Z                 auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr2 + 16*i1);
2022-11-23T01:32:37.5739525Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.5739614Z                 auto tmp4 = tmp2 * tmp3;
2022-11-23T01:32:37.5739687Z                 auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:37.5739776Z                 auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:37.5739932Z                 auto tmp9 = at::vec::clamp_min(tmp8, decltype(tmp8)(0));
2022-11-23T01:32:37.5740035Z                 tmp9.store(out_ptr3 + (16*i1) + (32*i0));
2022-11-23T01:32:37.5740099Z             }
2022-11-23T01:32:37.5740189Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.5740273Z             for(long i1=32; i1<32; i1+=1)
2022-11-23T01:32:37.5740323Z             {
2022-11-23T01:32:37.5740420Z                 auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:32:37.5740510Z                 auto tmp1 = in_out_ptr0[i0];
2022-11-23T01:32:37.5740600Z                 auto tmp3 = in_out_ptr1[i0];
2022-11-23T01:32:37.5740687Z                 auto tmp5 = in_ptr1[i1];
2022-11-23T01:32:37.5740770Z                 auto tmp7 = in_ptr2[i1];
2022-11-23T01:32:37.5740896Z                 auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.5740968Z                 auto tmp4 = tmp2 * tmp3;
2022-11-23T01:32:37.5741050Z                 auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:37.5741135Z                 auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:37.5741227Z                 auto tmp9 = tmp8 * (tmp8>0);
2022-11-23T01:32:37.5741316Z                 out_ptr3[i1 + (32*i0)] = tmp9;
2022-11-23T01:32:37.5741382Z             }
2022-11-23T01:32:37.5741444Z         }
2022-11-23T01:32:37.5741493Z     }
2022-11-23T01:32:37.5741552Z }
2022-11-23T01:32:37.5741628Z ''')
2022-11-23T01:32:37.5741633Z 
2022-11-23T01:32:37.5741638Z 
2022-11-23T01:32:37.5741727Z async_compile.wait(globals())
2022-11-23T01:32:37.5741799Z del async_compile
2022-11-23T01:32:37.5741804Z 
2022-11-23T01:32:37.5741874Z def call(args):
2022-11-23T01:32:37.5741976Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:32:37.5742046Z     args.clear()
2022-11-23T01:32:37.5742230Z     buf0 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5742423Z     buf1 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5742612Z     buf2 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5742696Z     buf3 = buf2; del buf2  # reuse
2022-11-23T01:32:37.5742779Z     buf4 = buf1; del buf1  # reuse
2022-11-23T01:32:37.5742975Z     buf5 = empty_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5743250Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf5.data_ptr()))
2022-11-23T01:32:37.5743373Z     return (buf5, primals_1, primals_2, primals_3, buf3, buf4, )
2022-11-23T01:32:37.5743381Z 
2022-11-23T01:32:37.5743385Z 
2022-11-23T01:32:37.5743448Z if __name__ == "__main__":
2022-11-23T01:32:37.5743561Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5743682Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5743877Z     primals_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5744072Z     primals_2 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5744275Z     primals_3 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5744409Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:32:37.5744414Z 
2022-11-23T01:32:37.5744561Z ok (2.801s)
2022-11-23T01:32:37.5744867Z   test_leaky_relu_cpu (__main__.CpuTests) ... [2022-11-23 01:22:15,770] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5745140Z [2022-11-23 01:22:15,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5745399Z [2022-11-23 01:22:15,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5745652Z [2022-11-23 01:22:15,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.5745938Z [2022-11-23 01:22:15,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.5746297Z [2022-11-23 01:22:15,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5746624Z [2022-11-23 01:22:15,770] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f641a1e0, file "inductor/test_torchinductor.py", line 2429> 
2022-11-23T01:32:37.5746719Z  2430           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.5746819Z                2 LOAD_METHOD              1 (leaky_relu)
2022-11-23T01:32:37.5746900Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5746989Z                6 LOAD_CONST               1 (0.2)
2022-11-23T01:32:37.5747076Z                8 CALL_METHOD              2
2022-11-23T01:32:37.5747163Z               10 LOAD_CONST               2 (2)
2022-11-23T01:32:37.5747235Z               12 BINARY_ADD
2022-11-23T01:32:37.5747328Z               14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.5747429Z               16 LOAD_METHOD              1 (leaky_relu)
2022-11-23T01:32:37.5747517Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5747593Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:37.5747663Z               22 BINARY_ADD
2022-11-23T01:32:37.5747750Z               24 CALL_METHOD              1
2022-11-23T01:32:37.5747836Z               26 BUILD_TUPLE              2
2022-11-23T01:32:37.5747911Z               28 RETURN_VALUE
2022-11-23T01:32:37.5747971Z  
2022-11-23T01:32:37.5747976Z 
2022-11-23T01:32:37.5748246Z [2022-11-23 01:22:15,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2430
2022-11-23T01:32:37.5748450Z [2022-11-23 01:22:15,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.5748763Z [2022-11-23 01:22:15,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR leaky_relu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5749023Z [2022-11-23 01:22:15,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.leaky_relu)]
2022-11-23T01:32:37.5749309Z [2022-11-23 01:22:15,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.2 [TorchVariable(aten.leaky_relu), TensorVariable()]
2022-11-23T01:32:37.5749640Z [2022-11-23 01:22:15,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.leaky_relu), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.5749877Z [2022-11-23 01:22:15,787] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:37.5750158Z [2022-11-23 01:22:15,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5750399Z [2022-11-23 01:22:15,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.5750741Z [2022-11-23 01:22:15,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR leaky_relu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5751025Z [2022-11-23 01:22:15,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.leaky_relu)]
2022-11-23T01:32:37.5751327Z [2022-11-23 01:22:15,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.leaky_relu), TensorVariable()]
2022-11-23T01:32:37.5751684Z [2022-11-23 01:22:15,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.leaky_relu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5752036Z [2022-11-23 01:22:15,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.leaky_relu), TensorVariable()]
2022-11-23T01:32:37.5752306Z [2022-11-23 01:22:15,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5752577Z [2022-11-23 01:22:15,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.5752906Z [2022-11-23 01:22:15,807] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f641a1e0, file "inductor/test_torchinductor.py", line 2429>
2022-11-23T01:32:37.5753147Z [2022-11-23 01:22:15,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.5753379Z [2022-11-23 01:22:15,807] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5753632Z [2022-11-23 01:22:15,809] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5753878Z [2022-11-23 01:22:15,818] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5754051Z [2022-11-23 01:22:15,818] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5754182Z  __compiled_fn_222 <eval_with_key>.1383 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5754272Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5754394Z call_function, leaky_relu, aten.leaky_relu, (ex_0_, 0.2), {}
2022-11-23T01:32:37.5754573Z call_function, add, <built-in function add>, (leaky_relu, 2), {}
2022-11-23T01:32:37.5754745Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.5754863Z call_function, leaky_relu_1, aten.leaky_relu, (add_1,), {}
2022-11-23T01:32:37.5754971Z output, output, output, ((add, leaky_relu_1),), {}
2022-11-23T01:32:37.5754979Z 
2022-11-23T01:32:37.5755241Z [2022-11-23 01:22:15,818] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5755333Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5755423Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5755513Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5755602Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5755679Z               8 RETURN_VALUE
2022-11-23T01:32:37.5755685Z 
2022-11-23T01:32:37.5755747Z  
2022-11-23T01:32:37.5756026Z [2022-11-23 01:22:15,819] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5756119Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_222)
2022-11-23T01:32:37.5756207Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5756295Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5756372Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5756463Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.5756564Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.5756664Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5756740Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5756813Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.5756913Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5757001Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5757075Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.5757296Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.5757372Z              26 RETURN_VALUE
2022-11-23T01:32:37.5757378Z 
2022-11-23T01:32:37.5757425Z  
2022-11-23T01:32:37.5757611Z [2022-11-23 01:22:15,820] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5757680Z  - 
2022-11-23T01:32:37.5757799Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5757922Z             {
2022-11-23T01:32:37.5758062Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5758252Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.5758359Z                 'obj_weakref': None
2022-11-23T01:32:37.5758584Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5758650Z             }
2022-11-23T01:32:37.5758714Z             
2022-11-23T01:32:37.5758831Z  - 
2022-11-23T01:32:37.5758956Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5759021Z             {
2022-11-23T01:32:37.5759148Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5759255Z                 'code': None,
2022-11-23T01:32:37.5759462Z                 'obj_weakref': <weakref at 0x7f710636fcb0; to 'Tensor' at 0x7f710636fd10>
2022-11-23T01:32:37.5759708Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5759774Z             }
2022-11-23T01:32:37.5759837Z             
2022-11-23T01:32:37.5759907Z  - 
2022-11-23T01:32:37.5760024Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.5760087Z             {
2022-11-23T01:32:37.5760220Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5760390Z                 'code': ['___check_obj_id(model, 140126549408224)'],
2022-11-23T01:32:37.5760509Z                 'obj_weakref': None
2022-11-23T01:32:37.5760742Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.5760809Z             }
2022-11-23T01:32:37.5760875Z             
2022-11-23T01:32:37.5760932Z  - 
2022-11-23T01:32:37.5761051Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5761114Z             {
2022-11-23T01:32:37.5761249Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5761464Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5761582Z                 'obj_weakref': None
2022-11-23T01:32:37.5761798Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5761849Z             }
2022-11-23T01:32:37.5761911Z             
2022-11-23T01:32:37.5761981Z  - 
2022-11-23T01:32:37.5762109Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.5762172Z             {
2022-11-23T01:32:37.5762292Z                 'guard_types': None,
2022-11-23T01:32:37.5762385Z                 'code': None,
2022-11-23T01:32:37.5762500Z                 'obj_weakref': None
2022-11-23T01:32:37.5762619Z                 'guarded_class': None
2022-11-23T01:32:37.5762681Z             }
2022-11-23T01:32:37.5762743Z             
2022-11-23T01:32:37.5763001Z [2022-11-23 01:22:15,839] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 215
2022-11-23T01:32:37.5763365Z [2022-11-23 01:22:18,391] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kd/ckdpwaxafaudp75pmn6gr53jj442lzgz65d7u2a2yemrqjptsm7f.py
2022-11-23T01:32:37.5763628Z [2022-11-23 01:22:18,392] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 215
2022-11-23T01:32:37.5763633Z 
2022-11-23T01:32:37.5763713Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5763782Z import torch
2022-11-23T01:32:37.5763852Z import random
2022-11-23T01:32:37.5763966Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5764089Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5764095Z 
2022-11-23T01:32:37.5764171Z aten = torch.ops.aten
2022-11-23T01:32:37.5764304Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5764382Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5764399Z 
2022-11-23T01:32:37.5764404Z 
2022-11-23T01:32:37.5764523Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5764726Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5764878Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.5764977Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.5765074Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.5765134Z {
2022-11-23T01:32:37.5765231Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5765279Z     {
2022-11-23T01:32:37.5765355Z         #pragma omp for 
2022-11-23T01:32:37.5765464Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:32:37.5765528Z         {
2022-11-23T01:32:37.5765590Z             {
2022-11-23T01:32:37.5765654Z                 {
2022-11-23T01:32:37.5765744Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.5765835Z                     auto tmp1 = static_cast<float>(0);
2022-11-23T01:32:37.5765925Z                     auto tmp2 = tmp0 > tmp1;
2022-11-23T01:32:37.5766028Z                     auto tmp3 = static_cast<float>(0.2);
2022-11-23T01:32:37.5766119Z                     auto tmp4 = tmp0 * tmp3;
2022-11-23T01:32:37.5766214Z                     auto tmp5 = tmp2 ? tmp0 : tmp4;
2022-11-23T01:32:37.5766314Z                     auto tmp6 = static_cast<float>(2);
2022-11-23T01:32:37.5766403Z                     auto tmp7 = tmp5 + tmp6;
2022-11-23T01:32:37.5766494Z                     auto tmp8 = static_cast<float>(1);
2022-11-23T01:32:37.5766581Z                     auto tmp9 = tmp0 + tmp8;
2022-11-23T01:32:37.5766675Z                     auto tmp10 = tmp9 > tmp1;
2022-11-23T01:32:37.5766780Z                     auto tmp11 = static_cast<float>(0.01);
2022-11-23T01:32:37.5766870Z                     auto tmp12 = tmp9 * tmp11;
2022-11-23T01:32:37.5766968Z                     auto tmp13 = tmp10 ? tmp9 : tmp12;
2022-11-23T01:32:37.5767053Z                     out_ptr0[i0] = tmp7;
2022-11-23T01:32:37.5767125Z                     out_ptr1[i0] = tmp13;
2022-11-23T01:32:37.5767189Z                 }
2022-11-23T01:32:37.5767252Z             }
2022-11-23T01:32:37.5767316Z         }
2022-11-23T01:32:37.5767378Z     }
2022-11-23T01:32:37.5767438Z }
2022-11-23T01:32:37.5767516Z ''')
2022-11-23T01:32:37.5767520Z 
2022-11-23T01:32:37.5767525Z 
2022-11-23T01:32:37.5767601Z async_compile.wait(globals())
2022-11-23T01:32:37.5767672Z del async_compile
2022-11-23T01:32:37.5767677Z 
2022-11-23T01:32:37.5767746Z def call(args):
2022-11-23T01:32:37.5767813Z     arg0_1, = args
2022-11-23T01:32:37.5767888Z     args.clear()
2022-11-23T01:32:37.5768090Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5768286Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5768447Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.5768503Z     del arg0_1
2022-11-23T01:32:37.5768579Z     return (buf0, buf1, )
2022-11-23T01:32:37.5768584Z 
2022-11-23T01:32:37.5768588Z 
2022-11-23T01:32:37.5768663Z if __name__ == "__main__":
2022-11-23T01:32:37.5768778Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5768902Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5769098Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5769205Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.5769210Z 
2022-11-23T01:32:37.5769275Z ok (2.634s)
2022-11-23T01:32:37.5769568Z   test_lgamma_cpu (__main__.CpuTests) ... [2022-11-23 01:22:18,406] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5769836Z [2022-11-23 01:22:18,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5770051Z [2022-11-23 01:22:18,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5770301Z [2022-11-23 01:22:18,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.5770582Z [2022-11-23 01:22:18,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.5770936Z [2022-11-23 01:22:18,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5771264Z [2022-11-23 01:22:18,407] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f640f6f0, file "inductor/test_torchinductor.py", line 2125> 
2022-11-23T01:32:37.5771386Z  2126           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.5771482Z                2 LOAD_METHOD              1 (lgamma)
2022-11-23T01:32:37.5771560Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5771647Z                6 CALL_METHOD              1
2022-11-23T01:32:37.5771735Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:37.5771809Z               10 BINARY_ADD
2022-11-23T01:32:37.5771903Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.5771997Z               14 LOAD_METHOD              2 (cos)
2022-11-23T01:32:37.5772088Z               16 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5772164Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5772240Z               20 BINARY_ADD
2022-11-23T01:32:37.5772329Z               22 CALL_METHOD              1
2022-11-23T01:32:37.5772419Z               24 BUILD_TUPLE              2
2022-11-23T01:32:37.5772495Z               26 RETURN_VALUE
2022-11-23T01:32:37.5772559Z  
2022-11-23T01:32:37.5772564Z 
2022-11-23T01:32:37.5772835Z [2022-11-23 01:22:18,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2126
2022-11-23T01:32:37.5773039Z [2022-11-23 01:22:18,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.5773351Z [2022-11-23 01:22:18,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR lgamma [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5773608Z [2022-11-23 01:22:18,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.lgamma)]
2022-11-23T01:32:37.5773897Z [2022-11-23 01:22:18,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.lgamma), TensorVariable()]
2022-11-23T01:32:37.5774134Z [2022-11-23 01:22:18,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:37.5774416Z [2022-11-23 01:22:18,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5774661Z [2022-11-23 01:22:18,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.5774994Z [2022-11-23 01:22:18,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cos [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.5775268Z [2022-11-23 01:22:18,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.cos)]
2022-11-23T01:32:37.5775575Z [2022-11-23 01:22:18,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()]
2022-11-23T01:32:37.5775924Z [2022-11-23 01:22:18,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.cos), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.5776223Z [2022-11-23 01:22:18,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()]
2022-11-23T01:32:37.5776494Z [2022-11-23 01:22:18,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5776744Z [2022-11-23 01:22:18,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.5777073Z [2022-11-23 01:22:18,449] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f640f6f0, file "inductor/test_torchinductor.py", line 2125>
2022-11-23T01:32:37.5777347Z [2022-11-23 01:22:18,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.5777581Z [2022-11-23 01:22:18,450] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5777833Z [2022-11-23 01:22:18,452] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5778118Z [2022-11-23 01:22:18,461] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5778309Z [2022-11-23 01:22:18,462] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5778431Z  __compiled_fn_223 <eval_with_key>.1389 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5778519Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5778631Z call_function, lgamma, aten.lgamma, (ex_0_,), {}
2022-11-23T01:32:37.5778807Z call_function, add, <built-in function add>, (lgamma, 2), {}
2022-11-23T01:32:37.5778984Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.5779084Z call_function, cos, aten.cos, (add_1,), {}
2022-11-23T01:32:37.5779185Z output, output, output, ((add, cos),), {}
2022-11-23T01:32:37.5779190Z 
2022-11-23T01:32:37.5779467Z [2022-11-23 01:22:18,462] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5779549Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5779643Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5779736Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5779831Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5779909Z               8 RETURN_VALUE
2022-11-23T01:32:37.5779914Z 
2022-11-23T01:32:37.5779977Z  
2022-11-23T01:32:37.5780257Z [2022-11-23 01:22:18,463] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5780368Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_223)
2022-11-23T01:32:37.5780445Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5780536Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5780615Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5780705Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.5780810Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.5780916Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5786467Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5786573Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.5786683Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5786775Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5786856Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.5786946Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.5787020Z              26 RETURN_VALUE
2022-11-23T01:32:37.5787033Z 
2022-11-23T01:32:37.5787093Z  
2022-11-23T01:32:37.5787293Z [2022-11-23 01:22:18,464] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5787362Z  - 
2022-11-23T01:32:37.5787481Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5787544Z             {
2022-11-23T01:32:37.5787686Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5787879Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.5788000Z                 'obj_weakref': None
2022-11-23T01:32:37.5788213Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5788276Z             }
2022-11-23T01:32:37.5788338Z             
2022-11-23T01:32:37.5788405Z  - 
2022-11-23T01:32:37.5788529Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5788590Z             {
2022-11-23T01:32:37.5788733Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5788907Z                 'code': None,
2022-11-23T01:32:37.5789117Z                 'obj_weakref': <weakref at 0x7f71060d9590; to 'Tensor' at 0x7f71062767d0>
2022-11-23T01:32:37.5789367Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5789432Z             }
2022-11-23T01:32:37.5789497Z             
2022-11-23T01:32:37.5789566Z  - 
2022-11-23T01:32:37.5789700Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.5789782Z             {
2022-11-23T01:32:37.5789918Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5790087Z                 'code': ['___check_obj_id(model, 140124016824976)'],
2022-11-23T01:32:37.5790205Z                 'obj_weakref': None
2022-11-23T01:32:37.5790434Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.5790497Z             }
2022-11-23T01:32:37.5790559Z             
2022-11-23T01:32:37.5790613Z  - 
2022-11-23T01:32:37.5790735Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5790803Z             {
2022-11-23T01:32:37.5790936Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5791151Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5791268Z                 'obj_weakref': None
2022-11-23T01:32:37.5791482Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5791535Z             }
2022-11-23T01:32:37.5791595Z             
2022-11-23T01:32:37.5791662Z  - 
2022-11-23T01:32:37.5791791Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.5791852Z             {
2022-11-23T01:32:37.5791970Z                 'guard_types': None,
2022-11-23T01:32:37.5792075Z                 'code': None,
2022-11-23T01:32:37.5792178Z                 'obj_weakref': None
2022-11-23T01:32:37.5792295Z                 'guarded_class': None
2022-11-23T01:32:37.5792358Z             }
2022-11-23T01:32:37.5792424Z             
2022-11-23T01:32:37.5792685Z [2022-11-23 01:22:18,479] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 216
2022-11-23T01:32:37.5793053Z [2022-11-23 01:22:21,069] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/np/cnpo2izvu5zd2kyav2e7go2dla52xhndsx3y3bdbfqoy5j75fbyv.py
2022-11-23T01:32:37.5793318Z [2022-11-23 01:22:21,070] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 216
2022-11-23T01:32:37.5793324Z 
2022-11-23T01:32:37.5793416Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5793472Z import torch
2022-11-23T01:32:37.5793540Z import random
2022-11-23T01:32:37.5793653Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5793774Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5793779Z 
2022-11-23T01:32:37.5793856Z aten = torch.ops.aten
2022-11-23T01:32:37.5793988Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5794080Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5794086Z 
2022-11-23T01:32:37.5794090Z 
2022-11-23T01:32:37.5794223Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5794415Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5794533Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.5794633Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.5794731Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.5794796Z {
2022-11-23T01:32:37.5794892Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5794953Z     {
2022-11-23T01:32:37.5795017Z         #pragma omp for 
2022-11-23T01:32:37.5795096Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:37.5795158Z         {
2022-11-23T01:32:37.5795302Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.5795389Z             auto tmp1 = tmp0.lgamma();
2022-11-23T01:32:37.5795560Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:37.5795644Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:37.5795762Z             auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.5795844Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:32:37.5795925Z             auto tmp6 = tmp5.cos();
2022-11-23T01:32:37.5796016Z             tmp3.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.5796136Z             tmp6.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.5796201Z         }
2022-11-23T01:32:37.5796295Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.5796365Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:37.5796425Z         {
2022-11-23T01:32:37.5796507Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.5796603Z             auto tmp1 = std::lgamma(tmp0);
2022-11-23T01:32:37.5796702Z             auto tmp2 = static_cast<float>(2);
2022-11-23T01:32:37.5796785Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:37.5796887Z             auto tmp4 = static_cast<float>(1);
2022-11-23T01:32:37.5796957Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:32:37.5797045Z             auto tmp6 = std::cos(tmp5);
2022-11-23T01:32:37.5797250Z             out_ptr0[i0] = tmp3;
2022-11-23T01:32:37.5797331Z             out_ptr1[i0] = tmp6;
2022-11-23T01:32:37.5797395Z         }
2022-11-23T01:32:37.5797460Z     }
2022-11-23T01:32:37.5797521Z }
2022-11-23T01:32:37.5797590Z ''')
2022-11-23T01:32:37.5797598Z 
2022-11-23T01:32:37.5797602Z 
2022-11-23T01:32:37.5797693Z async_compile.wait(globals())
2022-11-23T01:32:37.5797766Z del async_compile
2022-11-23T01:32:37.5797771Z 
2022-11-23T01:32:37.5797842Z def call(args):
2022-11-23T01:32:37.5797912Z     arg0_1, = args
2022-11-23T01:32:37.5797986Z     args.clear()
2022-11-23T01:32:37.5798191Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5798376Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5798543Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.5798613Z     del arg0_1
2022-11-23T01:32:37.5798689Z     return (buf0, buf1, )
2022-11-23T01:32:37.5798694Z 
2022-11-23T01:32:37.5798699Z 
2022-11-23T01:32:37.5798774Z if __name__ == "__main__":
2022-11-23T01:32:37.5798884Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5799008Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5799205Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5799299Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.5799316Z 
2022-11-23T01:32:37.5799368Z ok (2.678s)
2022-11-23T01:32:37.5799674Z   test_linear1_cpu (__main__.CpuTests) ... [2022-11-23 01:22:21,085] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5799944Z [2022-11-23 01:22:21,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5800162Z [2022-11-23 01:22:21,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5800403Z [2022-11-23 01:22:21,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.5800680Z [2022-11-23 01:22:21,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.5800996Z [2022-11-23 01:22:21,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5801327Z [2022-11-23 01:22:21,109] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f64bb810, file "inductor/test_torchinductor.py", line 169> 
2022-11-23T01:32:37.5801419Z  170           0 LOAD_FAST                1 (x)
2022-11-23T01:32:37.5801496Z               2 BUILD_TUPLE              1
2022-11-23T01:32:37.5801634Z               4 RETURN_VALUE
2022-11-23T01:32:37.5801695Z  
2022-11-23T01:32:37.5801701Z 
2022-11-23T01:32:37.5801967Z [2022-11-23 01:22:21,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:170
2022-11-23T01:32:37.5802177Z [2022-11-23 01:22:21,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.5802454Z [2022-11-23 01:22:21,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:37.5802701Z [2022-11-23 01:22:21,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.5803039Z [2022-11-23 01:22:21,109] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f64bb810, file "inductor/test_torchinductor.py", line 169>
2022-11-23T01:32:37.5803271Z [2022-11-23 01:22:21,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.5803511Z [2022-11-23 01:22:21,110] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5803769Z [2022-11-23 01:22:21,112] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5804016Z [2022-11-23 01:22:21,129] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5804203Z [2022-11-23 01:22:21,130] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5804341Z  __compiled_fn_224 <eval_with_key>.1395 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5804431Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5804531Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.5804632Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.5804719Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.5804724Z 
2022-11-23T01:32:37.5805001Z [2022-11-23 01:22:21,131] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5805098Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5805187Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5805278Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5805366Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5805442Z               8 RETURN_VALUE
2022-11-23T01:32:37.5805447Z 
2022-11-23T01:32:37.5805494Z  
2022-11-23T01:32:37.5805772Z [2022-11-23 01:22:21,131] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5805878Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_224)
2022-11-23T01:32:37.5805967Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5806056Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5806131Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5806218Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.5806323Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.5806411Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.5806499Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5806574Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.5806661Z              18 BUILD_TUPLE              1
2022-11-23T01:32:37.5806735Z              20 RETURN_VALUE
2022-11-23T01:32:37.5806740Z 
2022-11-23T01:32:37.5806798Z  
2022-11-23T01:32:37.5806977Z [2022-11-23 01:22:21,133] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5807034Z  - 
2022-11-23T01:32:37.5807150Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5807213Z             {
2022-11-23T01:32:37.5807351Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5807537Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.5807654Z                 'obj_weakref': None
2022-11-23T01:32:37.5807875Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5807962Z             }
2022-11-23T01:32:37.5808024Z             
2022-11-23T01:32:37.5808091Z  - 
2022-11-23T01:32:37.5808213Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5808277Z             {
2022-11-23T01:32:37.5808417Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5808522Z                 'code': None,
2022-11-23T01:32:37.5808746Z                 'obj_weakref': <weakref at 0x7f7106d36290; to 'Tensor' at 0x7f71064e96b0>
2022-11-23T01:32:37.5808995Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5809056Z             }
2022-11-23T01:32:37.5809118Z             
2022-11-23T01:32:37.5809186Z  - 
2022-11-23T01:32:37.5809303Z             local 'model' NN_MODULE
2022-11-23T01:32:37.5809365Z             {
2022-11-23T01:32:37.5809486Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5809654Z                 'code': ['___check_obj_id(model, 140123415501200)'],
2022-11-23T01:32:37.5809869Z                 'obj_weakref': <weakref at 0x7f7106cebb30; to 'Sequential' at 0x7f710667d990>
2022-11-23T01:32:37.5810101Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.5810165Z             }
2022-11-23T01:32:37.5810227Z             
2022-11-23T01:32:37.5810294Z  - 
2022-11-23T01:32:37.5810404Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5810466Z             {
2022-11-23T01:32:37.5810600Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5810815Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5810931Z                 'obj_weakref': None
2022-11-23T01:32:37.5811149Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5811212Z             }
2022-11-23T01:32:37.5811262Z             
2022-11-23T01:32:37.5811333Z  - 
2022-11-23T01:32:37.5811476Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.5811538Z             {
2022-11-23T01:32:37.5811684Z                 'guard_types': None,
2022-11-23T01:32:37.5811789Z                 'code': None,
2022-11-23T01:32:37.5811903Z                 'obj_weakref': None
2022-11-23T01:32:37.5812009Z                 'guarded_class': None
2022-11-23T01:32:37.5812070Z             }
2022-11-23T01:32:37.5812132Z             
2022-11-23T01:32:37.5812201Z  - 
2022-11-23T01:32:37.5812371Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.5812467Z             {
2022-11-23T01:32:37.5812641Z                 'guard_types': None,
2022-11-23T01:32:37.5812756Z                 'code': None,
2022-11-23T01:32:37.5812873Z                 'obj_weakref': None
2022-11-23T01:32:37.5812993Z                 'guarded_class': None
2022-11-23T01:32:37.5813059Z             }
2022-11-23T01:32:37.5813125Z             
2022-11-23T01:32:37.5813197Z  - 
2022-11-23T01:32:37.5813327Z             local_nn_module 'model[2]' NN_MODULE
2022-11-23T01:32:37.5813389Z             {
2022-11-23T01:32:37.5813508Z                 'guard_types': None,
2022-11-23T01:32:37.5813614Z                 'code': None,
2022-11-23T01:32:37.5813731Z                 'obj_weakref': None
2022-11-23T01:32:37.5813852Z                 'guarded_class': None
2022-11-23T01:32:37.5813916Z             }
2022-11-23T01:32:37.5813965Z             
2022-11-23T01:32:37.5814231Z [2022-11-23 01:22:21,232] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 217
2022-11-23T01:32:37.5814601Z [2022-11-23 01:22:23,765] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/36/c36s3jy2ljfk7ek3xlyoj2eqj2xqochuobrpzlft3kjstwwoxqo6.py
2022-11-23T01:32:37.5814867Z [2022-11-23 01:22:23,766] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 217
2022-11-23T01:32:37.5814872Z 
2022-11-23T01:32:37.5814964Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5815078Z import torch
2022-11-23T01:32:37.5815145Z import random
2022-11-23T01:32:37.5815260Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5815368Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5815373Z 
2022-11-23T01:32:37.5815452Z aten = torch.ops.aten
2022-11-23T01:32:37.5815586Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5815678Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5815746Z 
2022-11-23T01:32:37.5815752Z 
2022-11-23T01:32:37.5815884Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5816090Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5816209Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.5816272Z {
2022-11-23T01:32:37.5816360Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5816423Z     {
2022-11-23T01:32:37.5816501Z         #pragma omp for 
2022-11-23T01:32:37.5816586Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:37.5816654Z         {
2022-11-23T01:32:37.5816797Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 16*i0);
2022-11-23T01:32:37.5816936Z             auto tmp1 = decltype(tmp0)(1)/(decltype(tmp0)(1) + tmp0.neg().exp());
2022-11-23T01:32:37.5817023Z             tmp1.store(in_out_ptr0 + 16*i0);
2022-11-23T01:32:37.5817088Z         }
2022-11-23T01:32:37.5817186Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.5817271Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:32:37.5817335Z         {
2022-11-23T01:32:37.5817426Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:37.5817563Z             auto tmp1 = std::exp(-tmp0);
2022-11-23T01:32:37.5817633Z             auto tmp2 = 1 / (1 + tmp1);
2022-11-23T01:32:37.5817720Z             in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.5817783Z         }
2022-11-23T01:32:37.5817845Z     }
2022-11-23T01:32:37.5817906Z }
2022-11-23T01:32:37.5817985Z ''')
2022-11-23T01:32:37.5817992Z 
2022-11-23T01:32:37.5817996Z 
2022-11-23T01:32:37.5818087Z async_compile.wait(globals())
2022-11-23T01:32:37.5818147Z del async_compile
2022-11-23T01:32:37.5818152Z 
2022-11-23T01:32:37.5818222Z def call(args):
2022-11-23T01:32:37.5818328Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:32:37.5818400Z     args.clear()
2022-11-23T01:32:37.5818599Z     buf0 = empty_strided((2, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5818764Z     aten.addmm.out(primals_2, primals_3, as_strided(primals_1, (8, 16), (1, 8)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.5818839Z     del primals_1
2022-11-23T01:32:37.5818910Z     del primals_2
2022-11-23T01:32:37.5818983Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.5819087Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.5819178Z     return (buf1, primals_3, buf1, )
2022-11-23T01:32:37.5819183Z 
2022-11-23T01:32:37.5819187Z 
2022-11-23T01:32:37.5819264Z if __name__ == "__main__":
2022-11-23T01:32:37.5819378Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5819501Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5819706Z     primals_1 = rand_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5819892Z     primals_2 = rand_strided((16, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5820093Z     primals_3 = rand_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5820233Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:32:37.5820238Z 
2022-11-23T01:32:37.5820307Z ok (2.695s)
2022-11-23T01:32:37.5820608Z   test_linear2_cpu (__main__.CpuTests) ... [2022-11-23 01:22:23,782] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5820877Z [2022-11-23 01:22:23,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5821094Z [2022-11-23 01:22:23,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5821368Z [2022-11-23 01:22:23,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.5821642Z [2022-11-23 01:22:23,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.5821972Z [2022-11-23 01:22:23,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5822224Z [2022-11-23 01:22:23,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5822455Z [2022-11-23 01:22:23,859] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5822712Z [2022-11-23 01:22:23,862] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5822959Z [2022-11-23 01:22:23,923] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5823182Z [2022-11-23 01:22:23,923] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5823371Z  __compiled_fn_225 <eval_with_key>.1406 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5823489Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5823627Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.5823717Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.5823817Z call_module, model_2, model_2, (model_1,), {}
2022-11-23T01:32:37.5823912Z call_module, model_3, model_3, (model_2,), {}
2022-11-23T01:32:37.5824010Z call_module, model_4, model_4, (model_3,), {}
2022-11-23T01:32:37.5824104Z call_module, model_5, model_5, (model_4,), {}
2022-11-23T01:32:37.5824198Z call_module, model_6, model_6, (model_5,), {}
2022-11-23T01:32:37.5824293Z call_module, model_7, model_7, (model_6,), {}
2022-11-23T01:32:37.5824378Z output, output, output, ((model_7,),), {}
2022-11-23T01:32:37.5824386Z 
2022-11-23T01:32:37.5824747Z [2022-11-23 01:22:23,924] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5824842Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5824933Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5825027Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5825118Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5825197Z               8 RETURN_VALUE
2022-11-23T01:32:37.5825202Z 
2022-11-23T01:32:37.5825264Z  
2022-11-23T01:32:37.5825523Z [2022-11-23 01:22:23,924] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5825631Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_225)
2022-11-23T01:32:37.5825724Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5825815Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5825895Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5825982Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.5826076Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.5826138Z              12 RETURN_VALUE
2022-11-23T01:32:37.5826160Z 
2022-11-23T01:32:37.5826208Z  
2022-11-23T01:32:37.5826389Z [2022-11-23 01:22:23,926] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5826458Z  - 
2022-11-23T01:32:37.5826579Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5826645Z             {
2022-11-23T01:32:37.5826785Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5826955Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.5827072Z                 'obj_weakref': None
2022-11-23T01:32:37.5827293Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5827358Z             }
2022-11-23T01:32:37.5827421Z             
2022-11-23T01:32:37.5827535Z  - 
2022-11-23T01:32:37.5827658Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5827708Z             {
2022-11-23T01:32:37.5827849Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5827954Z                 'code': None,
2022-11-23T01:32:37.5828162Z                 'obj_weakref': <weakref at 0x7f7106d204d0; to 'Tensor' at 0x7f7106ceb290>
2022-11-23T01:32:37.5828454Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5828522Z             }
2022-11-23T01:32:37.5828587Z             
2022-11-23T01:32:37.5828645Z  - 
2022-11-23T01:32:37.5828762Z             local 'model' NN_MODULE
2022-11-23T01:32:37.5828824Z             {
2022-11-23T01:32:37.5828955Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5829121Z                 'code': ['___check_obj_id(model, 140123418326736)'],
2022-11-23T01:32:37.5829335Z                 'obj_weakref': <weakref at 0x7f71064fa650; to 'Sequential' at 0x7f710692f6d0>
2022-11-23T01:32:37.5829566Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.5829628Z             }
2022-11-23T01:32:37.5829678Z             
2022-11-23T01:32:37.5829746Z  - 
2022-11-23T01:32:37.5829865Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5829928Z             {
2022-11-23T01:32:37.5830062Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5830281Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5830396Z                 'obj_weakref': None
2022-11-23T01:32:37.5830602Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5830667Z             }
2022-11-23T01:32:37.5830731Z             
2022-11-23T01:32:37.5830797Z  - 
2022-11-23T01:32:37.5830941Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.5831003Z             {
2022-11-23T01:32:37.5831113Z                 'guard_types': None,
2022-11-23T01:32:37.5831222Z                 'code': None,
2022-11-23T01:32:37.5831337Z                 'obj_weakref': None
2022-11-23T01:32:37.5831457Z                 'guarded_class': None
2022-11-23T01:32:37.5831519Z             }
2022-11-23T01:32:37.5831581Z             
2022-11-23T01:32:37.5831649Z  - 
2022-11-23T01:32:37.5831778Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.5831840Z             {
2022-11-23T01:32:37.5831957Z                 'guard_types': None,
2022-11-23T01:32:37.5832061Z                 'code': None,
2022-11-23T01:32:37.5832176Z                 'obj_weakref': None
2022-11-23T01:32:37.5832294Z                 'guarded_class': None
2022-11-23T01:32:37.5832357Z             }
2022-11-23T01:32:37.5832406Z             
2022-11-23T01:32:37.5832473Z  - 
2022-11-23T01:32:37.5832614Z             local_nn_module 'model[2]' NN_MODULE
2022-11-23T01:32:37.5832676Z             {
2022-11-23T01:32:37.5832792Z                 'guard_types': None,
2022-11-23T01:32:37.5832897Z                 'code': None,
2022-11-23T01:32:37.5833011Z                 'obj_weakref': None
2022-11-23T01:32:37.5833117Z                 'guarded_class': None
2022-11-23T01:32:37.5833178Z             }
2022-11-23T01:32:37.5833239Z             
2022-11-23T01:32:37.5833306Z  - 
2022-11-23T01:32:37.5833448Z             local_nn_module 'model[3]' NN_MODULE
2022-11-23T01:32:37.5833510Z             {
2022-11-23T01:32:37.5833615Z                 'guard_types': None,
2022-11-23T01:32:37.5833718Z                 'code': None,
2022-11-23T01:32:37.5833832Z                 'obj_weakref': None
2022-11-23T01:32:37.5833950Z                 'guarded_class': None
2022-11-23T01:32:37.5834012Z             }
2022-11-23T01:32:37.5834073Z             
2022-11-23T01:32:37.5834140Z  - 
2022-11-23T01:32:37.5834267Z             local_nn_module 'model[4]' NN_MODULE
2022-11-23T01:32:37.5834329Z             {
2022-11-23T01:32:37.5834445Z                 'guard_types': None,
2022-11-23T01:32:37.5834582Z                 'code': None,
2022-11-23T01:32:37.5834697Z                 'obj_weakref': None
2022-11-23T01:32:37.5834816Z                 'guarded_class': None
2022-11-23T01:32:37.5834878Z             }
2022-11-23T01:32:37.5834927Z             
2022-11-23T01:32:37.5834993Z  - 
2022-11-23T01:32:37.5835134Z             local_nn_module 'model[5]' NN_MODULE
2022-11-23T01:32:37.5835195Z             {
2022-11-23T01:32:37.5835310Z                 'guard_types': None,
2022-11-23T01:32:37.5835442Z                 'code': None,
2022-11-23T01:32:37.5835547Z                 'obj_weakref': None
2022-11-23T01:32:37.5835663Z                 'guarded_class': None
2022-11-23T01:32:37.5835725Z             }
2022-11-23T01:32:37.5835786Z             
2022-11-23T01:32:37.5835857Z  - 
2022-11-23T01:32:37.5835999Z             local_nn_module 'model[6]' NN_MODULE
2022-11-23T01:32:37.5836061Z             {
2022-11-23T01:32:37.5836165Z                 'guard_types': None,
2022-11-23T01:32:37.5836270Z                 'code': None,
2022-11-23T01:32:37.5836386Z                 'obj_weakref': None
2022-11-23T01:32:37.5836504Z                 'guarded_class': None
2022-11-23T01:32:37.5836567Z             }
2022-11-23T01:32:37.5836630Z             
2022-11-23T01:32:37.5836698Z  - 
2022-11-23T01:32:37.5836825Z             local_nn_module 'model[7]' NN_MODULE
2022-11-23T01:32:37.5836887Z             {
2022-11-23T01:32:37.5837001Z                 'guard_types': None,
2022-11-23T01:32:37.5837210Z                 'code': None,
2022-11-23T01:32:37.5837329Z                 'obj_weakref': None
2022-11-23T01:32:37.5837448Z                 'guarded_class': None
2022-11-23T01:32:37.5837497Z             }
2022-11-23T01:32:37.5837560Z             
2022-11-23T01:32:37.5837824Z [2022-11-23 01:22:24,183] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 218
2022-11-23T01:32:37.5838190Z [2022-11-23 01:22:26,832] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ej/cej6jj25ibmcg2ay7uuo67oeh4g7e42pmrthz2jequegdgpsbeu3.py
2022-11-23T01:32:37.5838457Z [2022-11-23 01:22:26,832] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 218
2022-11-23T01:32:37.5838467Z 
2022-11-23T01:32:37.5838562Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5838632Z import torch
2022-11-23T01:32:37.5838701Z import random
2022-11-23T01:32:37.5838803Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5838927Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5838932Z 
2022-11-23T01:32:37.5839010Z aten = torch.ops.aten
2022-11-23T01:32:37.5839146Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5839240Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5839245Z 
2022-11-23T01:32:37.5839249Z 
2022-11-23T01:32:37.5839383Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5839588Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5839707Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.5839755Z {
2022-11-23T01:32:37.5839852Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5839913Z     {
2022-11-23T01:32:37.5839988Z         #pragma omp for 
2022-11-23T01:32:37.5840068Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:37.5840134Z         {
2022-11-23T01:32:37.5840275Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 16*i0);
2022-11-23T01:32:37.5840393Z             auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2022-11-23T01:32:37.5840487Z             tmp1.store(in_out_ptr0 + 16*i0);
2022-11-23T01:32:37.5840548Z         }
2022-11-23T01:32:37.5840642Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.5840722Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:37.5840783Z         {
2022-11-23T01:32:37.5840872Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:37.5840946Z             auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:32:37.5841089Z             in_out_ptr0[i0] = tmp1;
2022-11-23T01:32:37.5841151Z         }
2022-11-23T01:32:37.5841214Z     }
2022-11-23T01:32:37.5841275Z }
2022-11-23T01:32:37.5841355Z ''')
2022-11-23T01:32:37.5841360Z 
2022-11-23T01:32:37.5841365Z 
2022-11-23T01:32:37.5841497Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.5841701Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5841803Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.5841905Z {
2022-11-23T01:32:37.5842002Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5842063Z     {
2022-11-23T01:32:37.5842140Z         #pragma omp for 
2022-11-23T01:32:37.5842220Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:37.5842268Z         {
2022-11-23T01:32:37.5842403Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 16*i0);
2022-11-23T01:32:37.5842526Z             auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2022-11-23T01:32:37.5842624Z             tmp1.store(in_out_ptr0 + 16*i0);
2022-11-23T01:32:37.5842685Z         }
2022-11-23T01:32:37.5842778Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.5842862Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:37.5842923Z         {
2022-11-23T01:32:37.5842999Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:37.5843085Z             auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:32:37.5843165Z             in_out_ptr0[i0] = tmp1;
2022-11-23T01:32:37.5843228Z         }
2022-11-23T01:32:37.5843290Z     }
2022-11-23T01:32:37.5843349Z }
2022-11-23T01:32:37.5843415Z ''')
2022-11-23T01:32:37.5843421Z 
2022-11-23T01:32:37.5843439Z 
2022-11-23T01:32:37.5843558Z kernel_cpp_2 = async_compile.cpp('''
2022-11-23T01:32:37.5843762Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5843877Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.5843938Z {
2022-11-23T01:32:37.5844034Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5844097Z     {
2022-11-23T01:32:37.5844173Z         #pragma omp for 
2022-11-23T01:32:37.5844242Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:37.5844302Z         {
2022-11-23T01:32:37.5844437Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 16*i0);
2022-11-23T01:32:37.5844562Z             auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2022-11-23T01:32:37.5844657Z             tmp1.store(in_out_ptr0 + 16*i0);
2022-11-23T01:32:37.5844722Z         }
2022-11-23T01:32:37.5844816Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.5844885Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:37.5844946Z         {
2022-11-23T01:32:37.5845035Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:37.5845121Z             auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:32:37.5845203Z             in_out_ptr0[i0] = tmp1;
2022-11-23T01:32:37.5845265Z         }
2022-11-23T01:32:37.5845325Z     }
2022-11-23T01:32:37.5845373Z }
2022-11-23T01:32:37.5845450Z ''')
2022-11-23T01:32:37.5845455Z 
2022-11-23T01:32:37.5845459Z 
2022-11-23T01:32:37.5845589Z kernel_cpp_3 = async_compile.cpp('''
2022-11-23T01:32:37.5845789Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5845907Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.5846006Z                        bool* __restrict__ out_ptr0)
2022-11-23T01:32:37.5846066Z {
2022-11-23T01:32:37.5846152Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5846213Z     {
2022-11-23T01:32:37.5846287Z         #pragma omp for 
2022-11-23T01:32:37.5846367Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:37.5846431Z         {
2022-11-23T01:32:37.5846494Z             {
2022-11-23T01:32:37.5846559Z                 {
2022-11-23T01:32:37.5846642Z                     auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:37.5846735Z                     auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:32:37.5846878Z                     auto tmp2 = static_cast<float>(0);
2022-11-23T01:32:37.5846971Z                     auto tmp3 = tmp1 <= tmp2;
2022-11-23T01:32:37.5847062Z                     in_out_ptr0[i0] = tmp1;
2022-11-23T01:32:37.5847147Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:37.5847213Z                 }
2022-11-23T01:32:37.5847263Z             }
2022-11-23T01:32:37.5847326Z         }
2022-11-23T01:32:37.5847388Z     }
2022-11-23T01:32:37.5847449Z }
2022-11-23T01:32:37.5847527Z ''')
2022-11-23T01:32:37.5847563Z 
2022-11-23T01:32:37.5847567Z 
2022-11-23T01:32:37.5847659Z async_compile.wait(globals())
2022-11-23T01:32:37.5847730Z del async_compile
2022-11-23T01:32:37.5847734Z 
2022-11-23T01:32:37.5847790Z def call(args):
2022-11-23T01:32:37.5847962Z     primals_1, primals_2, primals_3, primals_4, primals_5, primals_6, primals_7, primals_8, primals_9 = args
2022-11-23T01:32:37.5848035Z     args.clear()
2022-11-23T01:32:37.5848231Z     buf0 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5848396Z     aten.addmm.out(primals_2, primals_9, as_strided(primals_1, (8, 8), (1, 8)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.5848470Z     del primals_1
2022-11-23T01:32:37.5848542Z     del primals_2
2022-11-23T01:32:37.5848615Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.5848719Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.5848912Z     buf2 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5849071Z     aten.addmm.out(primals_4, buf1, as_strided(primals_3, (8, 8), (1, 8)), beta=1, alpha=1, out=buf2)
2022-11-23T01:32:37.5849144Z     del primals_4
2022-11-23T01:32:37.5849229Z     buf3 = buf2; del buf2  # reuse
2022-11-23T01:32:37.5849334Z     kernel_cpp_1(c_void_p(buf3.data_ptr()))
2022-11-23T01:32:37.5849527Z     buf4 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5849669Z     aten.addmm.out(primals_6, buf3, as_strided(primals_5, (8, 8), (1, 8)), beta=1, alpha=1, out=buf4)
2022-11-23T01:32:37.5849743Z     del primals_6
2022-11-23T01:32:37.5849827Z     buf5 = buf4; del buf4  # reuse
2022-11-23T01:32:37.5849927Z     kernel_cpp_2(c_void_p(buf5.data_ptr()))
2022-11-23T01:32:37.5850119Z     buf6 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5850270Z     aten.addmm.out(primals_8, buf5, as_strided(primals_7, (8, 8), (1, 8)), beta=1, alpha=1, out=buf6)
2022-11-23T01:32:37.5850341Z     del primals_8
2022-11-23T01:32:37.5850412Z     buf7 = buf6; del buf6  # reuse
2022-11-23T01:32:37.5850601Z     buf8 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.5850734Z     kernel_cpp_3(c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()))
2022-11-23T01:32:37.5850935Z     return (buf7, primals_9, buf1, buf3, buf5, buf8, as_strided(primals_7, (8, 8), (8, 1)), as_strided(primals_5, (8, 8), (8, 1)), as_strided(primals_3, (8, 8), (8, 1)), )
2022-11-23T01:32:37.5850941Z 
2022-11-23T01:32:37.5850945Z 
2022-11-23T01:32:37.5851026Z if __name__ == "__main__":
2022-11-23T01:32:37.5851140Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5851263Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5851463Z     primals_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5851661Z     primals_2 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5851847Z     primals_3 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5852042Z     primals_4 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5852238Z     primals_5 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5852430Z     primals_6 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5852627Z     primals_7 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5852819Z     primals_8 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5853050Z     primals_9 = rand_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.5853253Z     print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5, primals_6, primals_7, primals_8, primals_9]))
2022-11-23T01:32:37.5853258Z 
2022-11-23T01:32:37.5853312Z ok (3.068s)
2022-11-23T01:32:37.5853658Z   test_linear_binary_cpu (__main__.CpuTests) ... [2022-11-23 01:22:26,874] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5853932Z [2022-11-23 01:22:26,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5854147Z [2022-11-23 01:22:26,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5854392Z [2022-11-23 01:22:26,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.5854666Z [2022-11-23 01:22:26,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.5854982Z [2022-11-23 01:22:26,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5855318Z [2022-11-23 01:22:26,875] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.5855414Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.5855499Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.5855587Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.5855675Z                6 CALL_METHOD              1
2022-11-23T01:32:37.5855766Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.5855771Z 
2022-11-23T01:32:37.5855861Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.5855954Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.5856045Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.5856134Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.5856209Z               18 CALL_METHOD              2
2022-11-23T01:32:37.5856295Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.5856300Z 
2022-11-23T01:32:37.5856384Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.5856459Z               24 RETURN_VALUE
2022-11-23T01:32:37.5856522Z  
2022-11-23T01:32:37.5856527Z 
2022-11-23T01:32:37.5856794Z [2022-11-23 01:22:26,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.5857004Z [2022-11-23 01:22:26,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.5857251Z [2022-11-23 01:22:26,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.5857478Z [2022-11-23 01:22:26,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.5857752Z [2022-11-23 01:22:26,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.5857987Z [2022-11-23 01:22:26,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.5858250Z [2022-11-23 01:22:26,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.5858460Z [2022-11-23 01:22:26,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.5858712Z [2022-11-23 01:22:26,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.5858965Z [2022-11-23 01:22:26,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.5859240Z [2022-11-23 01:22:26,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.5859581Z [2022-11-23 01:22:26,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5859911Z [2022-11-23 01:22:26,907] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f6542db0, file "inductor/test_torchinductor.py", line 106> 
2022-11-23T01:32:37.5859996Z  106           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5860116Z               2 LOAD_METHOD              1 (add)
2022-11-23T01:32:37.5860208Z               4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5860294Z               6 LOAD_FAST                1 (y)
2022-11-23T01:32:37.5860379Z               8 CALL_METHOD              2
2022-11-23T01:32:37.5860455Z              10 RETURN_VALUE
2022-11-23T01:32:37.5860517Z  
2022-11-23T01:32:37.5860522Z 
2022-11-23T01:32:37.5860727Z [2022-11-23 01:22:26,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5861088Z [2022-11-23 01:22:26,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5861404Z [2022-11-23 01:22:26,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.5861751Z [2022-11-23 01:22:26,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.5862130Z [2022-11-23 01:22:26,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5862371Z [2022-11-23 01:22:26,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5862706Z [2022-11-23 01:22:26,911] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f6542db0, file "inductor/test_torchinductor.py", line 106>
2022-11-23T01:32:37.5862945Z [2022-11-23 01:22:26,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.5863208Z [2022-11-23 01:22:26,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.5863416Z [2022-11-23 01:22:26,911] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.5863661Z [2022-11-23 01:22:26,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5863982Z [2022-11-23 01:22:26,912] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.5864227Z [2022-11-23 01:22:26,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5864553Z [2022-11-23 01:22:26,912] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5864809Z [2022-11-23 01:22:26,914] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5865164Z [2022-11-23 01:22:26,941] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5865362Z [2022-11-23 01:22:26,942] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5865497Z  __compiled_fn_226 <eval_with_key>.1417 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5865588Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5865660Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.5865777Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.5866020Z call_function, add, <built-in method add of type object at 0x7f71f2abebc0>, (model_linear, ex_1_), {}
2022-11-23T01:32:37.5866116Z output, output, output, ((add,),), {}
2022-11-23T01:32:37.5866167Z 
2022-11-23T01:32:37.5866442Z [2022-11-23 01:22:26,942] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5866535Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5866626Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5866716Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5866795Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5866902Z               8 RETURN_VALUE
2022-11-23T01:32:37.5866908Z 
2022-11-23T01:32:37.5866968Z  
2022-11-23T01:32:37.5867238Z [2022-11-23 01:22:26,943] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5867344Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_226)
2022-11-23T01:32:37.5867433Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5867521Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5867600Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5867674Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5867763Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5867839Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.5867930Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.5868022Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.5868097Z              18 RETURN_VALUE
2022-11-23T01:32:37.5868102Z 
2022-11-23T01:32:37.5868165Z  
2022-11-23T01:32:37.5868333Z [2022-11-23 01:22:26,945] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5868402Z  - 
2022-11-23T01:32:37.5868566Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5868632Z             {
2022-11-23T01:32:37.5868770Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5868955Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.5869074Z                 'obj_weakref': None
2022-11-23T01:32:37.5869288Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5869350Z             }
2022-11-23T01:32:37.5869414Z             
2022-11-23T01:32:37.5869481Z  - 
2022-11-23T01:32:37.5869603Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5869665Z             {
2022-11-23T01:32:37.5869805Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5869898Z                 'code': None,
2022-11-23T01:32:37.5870105Z                 'obj_weakref': <weakref at 0x7f71060d9350; to 'Tensor' at 0x7f71064f0a10>
2022-11-23T01:32:37.5870351Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5870414Z             }
2022-11-23T01:32:37.5870475Z             
2022-11-23T01:32:37.5870542Z  - 
2022-11-23T01:32:37.5870664Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.5870714Z             {
2022-11-23T01:32:37.5870854Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5870962Z                 'code': None,
2022-11-23T01:32:37.5871169Z                 'obj_weakref': <weakref at 0x7f7106d85ad0; to 'Tensor' at 0x7f7106dee470>
2022-11-23T01:32:37.5871416Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5871478Z             }
2022-11-23T01:32:37.5871539Z             
2022-11-23T01:32:37.5871593Z  - 
2022-11-23T01:32:37.5871714Z             local 'model' NN_MODULE
2022-11-23T01:32:37.5871775Z             {
2022-11-23T01:32:37.5871907Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5872075Z                 'code': ['___check_obj_id(model, 140123415559376)'],
2022-11-23T01:32:37.5872272Z                 'obj_weakref': <weakref at 0x7f710cd9c950; to 'M' at 0x7f710668bcd0>
2022-11-23T01:32:37.5872481Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.5872569Z             }
2022-11-23T01:32:37.5872629Z             
2022-11-23T01:32:37.5872698Z  - 
2022-11-23T01:32:37.5872819Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5872880Z             {
2022-11-23T01:32:37.5873015Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5873230Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5873336Z                 'obj_weakref': None
2022-11-23T01:32:37.5873595Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5873658Z             }
2022-11-23T01:32:37.5873719Z             
2022-11-23T01:32:37.5873788Z  - 
2022-11-23T01:32:37.5873918Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.5873980Z             {
2022-11-23T01:32:37.5874085Z                 'guard_types': None,
2022-11-23T01:32:37.5874188Z                 'code': None,
2022-11-23T01:32:37.5874304Z                 'obj_weakref': None
2022-11-23T01:32:37.5874426Z                 'guarded_class': None
2022-11-23T01:32:37.5874486Z             }
2022-11-23T01:32:37.5874548Z             
2022-11-23T01:32:37.5874620Z  - 
2022-11-23T01:32:37.5874763Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.5874826Z             {
2022-11-23T01:32:37.5874942Z                 'guard_types': None,
2022-11-23T01:32:37.5875046Z                 'code': None,
2022-11-23T01:32:37.5875161Z                 'obj_weakref': None
2022-11-23T01:32:37.5875281Z                 'guarded_class': None
2022-11-23T01:32:37.5875341Z             }
2022-11-23T01:32:37.5875391Z             
2022-11-23T01:32:37.5875458Z  - 
2022-11-23T01:32:37.5875622Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.5875685Z             {
2022-11-23T01:32:37.5875801Z                 'guard_types': None,
2022-11-23T01:32:37.5875956Z                 'code': None,
2022-11-23T01:32:37.5876064Z                 'obj_weakref': None
2022-11-23T01:32:37.5876184Z                 'guarded_class': None
2022-11-23T01:32:37.5876246Z             }
2022-11-23T01:32:37.5876307Z             
2022-11-23T01:32:37.5876565Z [2022-11-23 01:22:26,981] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 219
2022-11-23T01:32:37.5876936Z [2022-11-23 01:22:29,554] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wc/cwcntjr7vwlnf7a7ddrqmbiidwchit5l7243ftfaqek4cepbhvc4.py
2022-11-23T01:32:37.5877351Z [2022-11-23 01:22:29,555] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 219
2022-11-23T01:32:37.5877589Z [2022-11-23 01:22:29,568] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5877842Z [2022-11-23 01:22:29,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5878057Z [2022-11-23 01:22:29,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5878300Z [2022-11-23 01:22:29,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.5878574Z [2022-11-23 01:22:29,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.5878889Z [2022-11-23 01:22:29,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5879223Z [2022-11-23 01:22:29,569] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.5879319Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.5879415Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.5879508Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.5879585Z                6 CALL_METHOD              1
2022-11-23T01:32:37.5879679Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.5879752Z 
2022-11-23T01:32:37.5879846Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.5879943Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.5880032Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.5880120Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.5880210Z               18 CALL_METHOD              2
2022-11-23T01:32:37.5880299Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.5880340Z 
2022-11-23T01:32:37.5880414Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.5880489Z               24 RETURN_VALUE
2022-11-23T01:32:37.5880551Z  
2022-11-23T01:32:37.5880555Z 
2022-11-23T01:32:37.5880824Z [2022-11-23 01:22:29,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.5881037Z [2022-11-23 01:22:29,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.5881288Z [2022-11-23 01:22:29,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.5881529Z [2022-11-23 01:22:29,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.5881805Z [2022-11-23 01:22:29,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.5882034Z [2022-11-23 01:22:29,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.5882299Z [2022-11-23 01:22:29,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.5882508Z [2022-11-23 01:22:29,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.5882755Z [2022-11-23 01:22:29,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.5883004Z [2022-11-23 01:22:29,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.5883284Z [2022-11-23 01:22:29,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.5883596Z [2022-11-23 01:22:29,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5883931Z [2022-11-23 01:22:29,580] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f6542db0, file "inductor/test_torchinductor.py", line 106> 
2022-11-23T01:32:37.5884027Z  106           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5884119Z               2 LOAD_METHOD              1 (add)
2022-11-23T01:32:37.5884199Z               4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5884287Z               6 LOAD_FAST                1 (y)
2022-11-23T01:32:37.5884373Z               8 CALL_METHOD              2
2022-11-23T01:32:37.5884449Z              10 RETURN_VALUE
2022-11-23T01:32:37.5884511Z  
2022-11-23T01:32:37.5884516Z 
2022-11-23T01:32:37.5884732Z [2022-11-23 01:22:29,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5885094Z [2022-11-23 01:22:29,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5885414Z [2022-11-23 01:22:29,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.5885746Z [2022-11-23 01:22:29,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.5886125Z [2022-11-23 01:22:29,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5886407Z [2022-11-23 01:22:29,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5886742Z [2022-11-23 01:22:29,584] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f6542db0, file "inductor/test_torchinductor.py", line 106>
2022-11-23T01:32:37.5886980Z [2022-11-23 01:22:29,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.5887278Z [2022-11-23 01:22:29,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.5887485Z [2022-11-23 01:22:29,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.5887730Z [2022-11-23 01:22:29,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5888065Z [2022-11-23 01:22:29,584] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.5888311Z [2022-11-23 01:22:29,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5888531Z [2022-11-23 01:22:29,584] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5888781Z [2022-11-23 01:22:29,586] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5889030Z [2022-11-23 01:22:29,596] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5889217Z [2022-11-23 01:22:29,597] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5889349Z  __compiled_fn_227 <eval_with_key>.1423 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5889438Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5889522Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.5889635Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.5889868Z call_function, add, <built-in method add of type object at 0x7f71f2abebc0>, (model_linear, ex_1_), {}
2022-11-23T01:32:37.5889960Z output, output, output, ((add,),), {}
2022-11-23T01:32:37.5889965Z 
2022-11-23T01:32:37.5890239Z [2022-11-23 01:22:29,597] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5890333Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5890424Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5890515Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5890606Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5890680Z               8 RETURN_VALUE
2022-11-23T01:32:37.5890685Z 
2022-11-23T01:32:37.5890733Z  
2022-11-23T01:32:37.5891004Z [2022-11-23 01:22:29,598] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5891112Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_227)
2022-11-23T01:32:37.5891203Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5891291Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5891367Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5891455Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5891541Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5891603Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.5891692Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.5891783Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.5891860Z              18 RETURN_VALUE
2022-11-23T01:32:37.5891865Z 
2022-11-23T01:32:37.5891926Z  
2022-11-23T01:32:37.5892108Z [2022-11-23 01:22:29,600] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5892180Z  - 
2022-11-23T01:32:37.5892285Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5892349Z             {
2022-11-23T01:32:37.5892491Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5892708Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.5892828Z                 'obj_weakref': None
2022-11-23T01:32:37.5893053Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5893118Z             }
2022-11-23T01:32:37.5893168Z             
2022-11-23T01:32:37.5893238Z  - 
2022-11-23T01:32:37.5893362Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5893454Z             {
2022-11-23T01:32:37.5893598Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5893706Z                 'code': None,
2022-11-23T01:32:37.5893918Z                 'obj_weakref': <weakref at 0x7f7129f5a8f0; to 'Tensor' at 0x7f71060e4b90>
2022-11-23T01:32:37.5894154Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5894221Z             }
2022-11-23T01:32:37.5894286Z             
2022-11-23T01:32:37.5894357Z  - 
2022-11-23T01:32:37.5894480Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.5894545Z             {
2022-11-23T01:32:37.5894687Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5894780Z                 'code': None,
2022-11-23T01:32:37.5894989Z                 'obj_weakref': <weakref at 0x7f7106d857d0; to 'Tensor' at 0x7f71060d9650>
2022-11-23T01:32:37.5895238Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5895306Z             }
2022-11-23T01:32:37.5895370Z             
2022-11-23T01:32:37.5895439Z  - 
2022-11-23T01:32:37.5895558Z             local 'model' NN_MODULE
2022-11-23T01:32:37.5895608Z             {
2022-11-23T01:32:37.5895743Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5895913Z                 'code': ['___check_obj_id(model, 140126564978576)'],
2022-11-23T01:32:37.5896115Z                 'obj_weakref': <weakref at 0x7f71060e46b0; to 'M' at 0x7f71c2210f90>
2022-11-23T01:32:37.5896332Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.5896396Z             }
2022-11-23T01:32:37.5896460Z             
2022-11-23T01:32:37.5896516Z  - 
2022-11-23T01:32:37.5896638Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5896702Z             {
2022-11-23T01:32:37.5896838Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5897059Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5897179Z                 'obj_weakref': None
2022-11-23T01:32:37.5897397Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5897448Z             }
2022-11-23T01:32:37.5897512Z             
2022-11-23T01:32:37.5897579Z  - 
2022-11-23T01:32:37.5897713Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.5897778Z             {
2022-11-23T01:32:37.5897924Z                 'guard_types': None,
2022-11-23T01:32:37.5898032Z                 'code': None,
2022-11-23T01:32:37.5898137Z                 'obj_weakref': None
2022-11-23T01:32:37.5898257Z                 'guarded_class': None
2022-11-23T01:32:37.5898321Z             }
2022-11-23T01:32:37.5898384Z             
2022-11-23T01:32:37.5898451Z  - 
2022-11-23T01:32:37.5898608Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.5898658Z             {
2022-11-23T01:32:37.5898780Z                 'guard_types': None,
2022-11-23T01:32:37.5898882Z                 'code': None,
2022-11-23T01:32:37.5899000Z                 'obj_weakref': None
2022-11-23T01:32:37.5899118Z                 'guarded_class': None
2022-11-23T01:32:37.5899180Z             }
2022-11-23T01:32:37.5899245Z             
2022-11-23T01:32:37.5899299Z  - 
2022-11-23T01:32:37.5899466Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.5899527Z             {
2022-11-23T01:32:37.5899644Z                 'guard_types': None,
2022-11-23T01:32:37.5899783Z                 'code': None,
2022-11-23T01:32:37.5899897Z                 'obj_weakref': None
2022-11-23T01:32:37.5900014Z                 'guarded_class': None
2022-11-23T01:32:37.5900064Z             }
2022-11-23T01:32:37.5900124Z             
2022-11-23T01:32:37.5900381Z [2022-11-23 01:22:29,616] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 220
2022-11-23T01:32:37.5900782Z [2022-11-23 01:22:29,630] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wh/cwhkfdwqoch5ejaz56qmdgtvhqyson5a5xw67nmyq6el4ankl5sk.py
2022-11-23T01:32:37.5901048Z [2022-11-23 01:22:29,630] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 220
2022-11-23T01:32:37.5901281Z [2022-11-23 01:22:29,637] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5901546Z [2022-11-23 01:22:29,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5901763Z [2022-11-23 01:22:29,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5901991Z [2022-11-23 01:22:29,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.5902266Z [2022-11-23 01:22:29,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.5902580Z [2022-11-23 01:22:29,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5902913Z [2022-11-23 01:22:29,638] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.5903005Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.5903101Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.5903189Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.5903279Z                6 CALL_METHOD              1
2022-11-23T01:32:37.5903368Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.5903373Z 
2022-11-23T01:32:37.5903451Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.5903544Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.5903630Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.5903719Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.5903806Z               18 CALL_METHOD              2
2022-11-23T01:32:37.5903892Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.5903896Z 
2022-11-23T01:32:37.5903981Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.5904058Z               24 RETURN_VALUE
2022-11-23T01:32:37.5904106Z  
2022-11-23T01:32:37.5904110Z 
2022-11-23T01:32:37.5904376Z [2022-11-23 01:22:29,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.5904669Z [2022-11-23 01:22:29,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.5904921Z [2022-11-23 01:22:29,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.5905163Z [2022-11-23 01:22:29,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.5905439Z [2022-11-23 01:22:29,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.5905676Z [2022-11-23 01:22:29,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.5905939Z [2022-11-23 01:22:29,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.5906147Z [2022-11-23 01:22:29,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.5906385Z [2022-11-23 01:22:29,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.5906682Z [2022-11-23 01:22:29,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.5906955Z [2022-11-23 01:22:29,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.5907294Z [2022-11-23 01:22:29,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5907628Z [2022-11-23 01:22:29,659] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f6542db0, file "inductor/test_torchinductor.py", line 106> 
2022-11-23T01:32:37.5907724Z  106           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5907816Z               2 LOAD_METHOD              1 (add)
2022-11-23T01:32:37.5907906Z               4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5907985Z               6 LOAD_FAST                1 (y)
2022-11-23T01:32:37.5908070Z               8 CALL_METHOD              2
2022-11-23T01:32:37.5908147Z              10 RETURN_VALUE
2022-11-23T01:32:37.5908209Z  
2022-11-23T01:32:37.5908215Z 
2022-11-23T01:32:37.5908432Z [2022-11-23 01:22:29,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5908800Z [2022-11-23 01:22:29,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5909118Z [2022-11-23 01:22:29,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.5909467Z [2022-11-23 01:22:29,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.5909844Z [2022-11-23 01:22:29,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5910091Z [2022-11-23 01:22:29,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5910416Z [2022-11-23 01:22:29,662] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f6542db0, file "inductor/test_torchinductor.py", line 106>
2022-11-23T01:32:37.5910653Z [2022-11-23 01:22:29,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.5910918Z [2022-11-23 01:22:29,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.5911122Z [2022-11-23 01:22:29,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.5911363Z [2022-11-23 01:22:29,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5911700Z [2022-11-23 01:22:29,662] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.5911944Z [2022-11-23 01:22:29,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5912173Z [2022-11-23 01:22:29,663] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5912426Z [2022-11-23 01:22:29,664] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5912660Z [2022-11-23 01:22:29,684] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5912844Z [2022-11-23 01:22:29,685] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5912976Z  __compiled_fn_228 <eval_with_key>.1429 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5913067Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5913183Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.5913296Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.5913537Z call_function, add, <built-in method add of type object at 0x7f71f2abebc0>, (model_linear, ex_1_), {}
2022-11-23T01:32:37.5913630Z output, output, output, ((add,),), {}
2022-11-23T01:32:37.5913635Z 
2022-11-23T01:32:37.5913925Z [2022-11-23 01:22:29,685] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5914017Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5914106Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5914195Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5914285Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5914361Z               8 RETURN_VALUE
2022-11-23T01:32:37.5914366Z 
2022-11-23T01:32:37.5914426Z  
2022-11-23T01:32:37.5914700Z [2022-11-23 01:22:29,685] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5914796Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_228)
2022-11-23T01:32:37.5914883Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5914971Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5915047Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5915134Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5915221Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5915294Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.5915369Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.5915460Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.5915533Z              18 RETURN_VALUE
2022-11-23T01:32:37.5915538Z 
2022-11-23T01:32:37.5915597Z  
2022-11-23T01:32:37.5915775Z [2022-11-23 01:22:29,687] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5915843Z  - 
2022-11-23T01:32:37.5915962Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5916013Z             {
2022-11-23T01:32:37.5916151Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5916334Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.5916450Z                 'obj_weakref': None
2022-11-23T01:32:37.5916671Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5916738Z             }
2022-11-23T01:32:37.5916800Z             
2022-11-23T01:32:37.5916856Z  - 
2022-11-23T01:32:37.5916977Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5917039Z             {
2022-11-23T01:32:37.5917310Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5917420Z                 'code': None,
2022-11-23T01:32:37.5917628Z                 'obj_weakref': <weakref at 0x7f7106717fb0; to 'Tensor' at 0x7f7106d1afb0>
2022-11-23T01:32:37.5917877Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5917943Z             }
2022-11-23T01:32:37.5917994Z             
2022-11-23T01:32:37.5918066Z  - 
2022-11-23T01:32:37.5918189Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.5918253Z             {
2022-11-23T01:32:37.5918395Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5918501Z                 'code': None,
2022-11-23T01:32:37.5918696Z                 'obj_weakref': <weakref at 0x7f7106717230; to 'Tensor' at 0x7f71ce01a950>
2022-11-23T01:32:37.5918941Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5919005Z             }
2022-11-23T01:32:37.5919069Z             
2022-11-23T01:32:37.5919138Z  - 
2022-11-23T01:32:37.5919258Z             local 'model' NN_MODULE
2022-11-23T01:32:37.5919324Z             {
2022-11-23T01:32:37.5919443Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5919705Z                 'code': ['___check_obj_id(model, 140123088375184)'],
2022-11-23T01:32:37.5919908Z                 'obj_weakref': <weakref at 0x7f71067a4d10; to 'M' at 0x7f70f2e84d90>
2022-11-23T01:32:37.5920122Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.5920187Z             }
2022-11-23T01:32:37.5920252Z             
2022-11-23T01:32:37.5920322Z  - 
2022-11-23T01:32:37.5920430Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5920539Z             {
2022-11-23T01:32:37.5920678Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5920900Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5921019Z                 'obj_weakref': None
2022-11-23T01:32:37.5921235Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5921297Z             }
2022-11-23T01:32:37.5921359Z             
2022-11-23T01:32:37.5921416Z  - 
2022-11-23T01:32:37.5921548Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.5921612Z             {
2022-11-23T01:32:37.5921729Z                 'guard_types': None,
2022-11-23T01:32:37.5921834Z                 'code': None,
2022-11-23T01:32:37.5921949Z                 'obj_weakref': None
2022-11-23T01:32:37.5922056Z                 'guarded_class': None
2022-11-23T01:32:37.5922117Z             }
2022-11-23T01:32:37.5922179Z             
2022-11-23T01:32:37.5922247Z  - 
2022-11-23T01:32:37.5922402Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.5922464Z             {
2022-11-23T01:32:37.5922585Z                 'guard_types': None,
2022-11-23T01:32:37.5922678Z                 'code': None,
2022-11-23T01:32:37.5922794Z                 'obj_weakref': None
2022-11-23T01:32:37.5922914Z                 'guarded_class': None
2022-11-23T01:32:37.5922978Z             }
2022-11-23T01:32:37.5923040Z             
2022-11-23T01:32:37.5923110Z  - 
2022-11-23T01:32:37.5923283Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.5923333Z             {
2022-11-23T01:32:37.5923450Z                 'guard_types': None,
2022-11-23T01:32:37.5923553Z                 'code': None,
2022-11-23T01:32:37.5923668Z                 'obj_weakref': None
2022-11-23T01:32:37.5923786Z                 'guarded_class': None
2022-11-23T01:32:37.5923848Z             }
2022-11-23T01:32:37.5923897Z             
2022-11-23T01:32:37.5924157Z [2022-11-23 01:22:29,711] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 221
2022-11-23T01:32:37.5924525Z [2022-11-23 01:22:32,268] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vb/cvbi7hl6mtjtqvlm3svuk6n6op2zl2kpgafkuur5zzyqmmxzbdhp.py
2022-11-23T01:32:37.5924786Z [2022-11-23 01:22:32,269] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 221
2022-11-23T01:32:37.5925022Z [2022-11-23 01:22:32,280] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5925293Z [2022-11-23 01:22:32,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5925507Z [2022-11-23 01:22:32,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5925748Z [2022-11-23 01:22:32,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.5926024Z [2022-11-23 01:22:32,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.5926336Z [2022-11-23 01:22:32,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5926656Z [2022-11-23 01:22:32,281] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.5926750Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.5926877Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.5926966Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.5927054Z                6 CALL_METHOD              1
2022-11-23T01:32:37.5927144Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.5927149Z 
2022-11-23T01:32:37.5927240Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.5927359Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.5927436Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.5927521Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.5927608Z               18 CALL_METHOD              2
2022-11-23T01:32:37.5927694Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.5927698Z 
2022-11-23T01:32:37.5927782Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.5927857Z               24 RETURN_VALUE
2022-11-23T01:32:37.5927919Z  
2022-11-23T01:32:37.5927924Z 
2022-11-23T01:32:37.5928194Z [2022-11-23 01:22:32,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.5928395Z [2022-11-23 01:22:32,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.5928642Z [2022-11-23 01:22:32,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.5928882Z [2022-11-23 01:22:32,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.5929152Z [2022-11-23 01:22:32,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.5929385Z [2022-11-23 01:22:32,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.5929646Z [2022-11-23 01:22:32,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.5929858Z [2022-11-23 01:22:32,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.5930104Z [2022-11-23 01:22:32,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.5930352Z [2022-11-23 01:22:32,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.5930618Z [2022-11-23 01:22:32,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.5930928Z [2022-11-23 01:22:32,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5931260Z [2022-11-23 01:22:32,289] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f6542db0, file "inductor/test_torchinductor.py", line 106> 
2022-11-23T01:32:37.5931356Z  106           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5931452Z               2 LOAD_METHOD              1 (add)
2022-11-23T01:32:37.5931542Z               4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5931629Z               6 LOAD_FAST                1 (y)
2022-11-23T01:32:37.5931715Z               8 CALL_METHOD              2
2022-11-23T01:32:37.5931778Z              10 RETURN_VALUE
2022-11-23T01:32:37.5931837Z  
2022-11-23T01:32:37.5931842Z 
2022-11-23T01:32:37.5932060Z [2022-11-23 01:22:32,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5932419Z [2022-11-23 01:22:32,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5932736Z [2022-11-23 01:22:32,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.5933076Z [2022-11-23 01:22:32,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.5933481Z [2022-11-23 01:22:32,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5933725Z [2022-11-23 01:22:32,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5934087Z [2022-11-23 01:22:32,293] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f6542db0, file "inductor/test_torchinductor.py", line 106>
2022-11-23T01:32:37.5934326Z [2022-11-23 01:22:32,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.5934578Z [2022-11-23 01:22:32,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.5934782Z [2022-11-23 01:22:32,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.5935028Z [2022-11-23 01:22:32,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5935364Z [2022-11-23 01:22:32,293] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.5935609Z [2022-11-23 01:22:32,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5935841Z [2022-11-23 01:22:32,293] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5936089Z [2022-11-23 01:22:32,298] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5936336Z [2022-11-23 01:22:32,307] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5936525Z [2022-11-23 01:22:32,307] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5936648Z  __compiled_fn_229 <eval_with_key>.1435 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5936738Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5936826Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.5936941Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.5937187Z call_function, add, <built-in method add of type object at 0x7f71f2abebc0>, (model_linear, ex_1_), {}
2022-11-23T01:32:37.5937285Z output, output, output, ((add,),), {}
2022-11-23T01:32:37.5937290Z 
2022-11-23T01:32:37.5937569Z [2022-11-23 01:22:32,308] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5937664Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5937740Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5937834Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5937925Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5938004Z               8 RETURN_VALUE
2022-11-23T01:32:37.5938010Z 
2022-11-23T01:32:37.5938071Z  
2022-11-23T01:32:37.5938345Z [2022-11-23 01:22:32,308] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5938455Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_229)
2022-11-23T01:32:37.5938546Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5938626Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5938704Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5938794Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5938882Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5938959Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.5939048Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.5939139Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.5939201Z              18 RETURN_VALUE
2022-11-23T01:32:37.5939206Z 
2022-11-23T01:32:37.5939298Z  
2022-11-23T01:32:37.5939480Z [2022-11-23 01:22:32,310] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5939550Z  - 
2022-11-23T01:32:37.5939669Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5939735Z             {
2022-11-23T01:32:37.5939877Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5940050Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.5940202Z                 'obj_weakref': None
2022-11-23T01:32:37.5940426Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5940490Z             }
2022-11-23T01:32:37.5940555Z             
2022-11-23T01:32:37.5940625Z  - 
2022-11-23T01:32:37.5940750Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5940802Z             {
2022-11-23T01:32:37.5940946Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5941054Z                 'code': None,
2022-11-23T01:32:37.5941264Z                 'obj_weakref': <weakref at 0x7f71c1358b90; to 'Tensor' at 0x7f71060e4b90>
2022-11-23T01:32:37.5941512Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5941577Z             }
2022-11-23T01:32:37.5941638Z             
2022-11-23T01:32:37.5941693Z  - 
2022-11-23T01:32:37.5941817Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.5941881Z             {
2022-11-23T01:32:37.5942025Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5942131Z                 'code': None,
2022-11-23T01:32:37.5942338Z                 'obj_weakref': <weakref at 0x7f7106717c50; to 'Tensor' at 0x7f71066d8d10>
2022-11-23T01:32:37.5942588Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5942640Z             }
2022-11-23T01:32:37.5942704Z             
2022-11-23T01:32:37.5942774Z  - 
2022-11-23T01:32:37.5942894Z             local 'model' NN_MODULE
2022-11-23T01:32:37.5942960Z             {
2022-11-23T01:32:37.5943093Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5943264Z                 'code': ['___check_obj_id(model, 140123418587728)'],
2022-11-23T01:32:37.5943447Z                 'obj_weakref': <weakref at 0x7f7106a30d10; to 'M' at 0x7f710696f250>
2022-11-23T01:32:37.5943659Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.5943725Z             }
2022-11-23T01:32:37.5943786Z             
2022-11-23T01:32:37.5943855Z  - 
2022-11-23T01:32:37.5943973Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5944036Z             {
2022-11-23T01:32:37.5944156Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5944377Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5944583Z                 'obj_weakref': None
2022-11-23T01:32:37.5944810Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5944876Z             }
2022-11-23T01:32:37.5944942Z             
2022-11-23T01:32:37.5945010Z  - 
2022-11-23T01:32:37.5945130Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.5945193Z             {
2022-11-23T01:32:37.5945315Z                 'guard_types': None,
2022-11-23T01:32:37.5945421Z                 'code': None,
2022-11-23T01:32:37.5945537Z                 'obj_weakref': None
2022-11-23T01:32:37.5945660Z                 'guarded_class': None
2022-11-23T01:32:37.5945724Z             }
2022-11-23T01:32:37.5945774Z             
2022-11-23T01:32:37.5945843Z  - 
2022-11-23T01:32:37.5945998Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.5946063Z             {
2022-11-23T01:32:37.5946181Z                 'guard_types': None,
2022-11-23T01:32:37.5946289Z                 'code': None,
2022-11-23T01:32:37.5946405Z                 'obj_weakref': None
2022-11-23T01:32:37.5946548Z                 'guarded_class': None
2022-11-23T01:32:37.5946610Z             }
2022-11-23T01:32:37.5946670Z             
2022-11-23T01:32:37.5946737Z  - 
2022-11-23T01:32:37.5946901Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.5946963Z             {
2022-11-23T01:32:37.5947066Z                 'guard_types': None,
2022-11-23T01:32:37.5947188Z                 'code': None,
2022-11-23T01:32:37.5947360Z                 'obj_weakref': None
2022-11-23T01:32:37.5947521Z                 'guarded_class': None
2022-11-23T01:32:37.5947585Z             }
2022-11-23T01:32:37.5947648Z             
2022-11-23T01:32:37.5947907Z [2022-11-23 01:22:32,323] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 222
2022-11-23T01:32:37.5948266Z [2022-11-23 01:22:32,335] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mz/cmzhpkbpa7m4xzfp2rsj4o43ogg6yfrldzqjz7tuypgjy53l7ffo.py
2022-11-23T01:32:37.5948528Z [2022-11-23 01:22:32,335] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 222
2022-11-23T01:32:37.5948765Z [2022-11-23 01:22:32,341] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5949030Z [2022-11-23 01:22:32,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5949245Z [2022-11-23 01:22:32,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5949489Z [2022-11-23 01:22:32,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.5949763Z [2022-11-23 01:22:32,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.5950075Z [2022-11-23 01:22:32,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.5950406Z [2022-11-23 01:22:32,342] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.5950500Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.5950582Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.5950670Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.5950758Z                6 CALL_METHOD              1
2022-11-23T01:32:37.5950849Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.5950855Z 
2022-11-23T01:32:37.5950943Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.5951041Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.5951127Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.5951213Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.5951287Z               18 CALL_METHOD              2
2022-11-23T01:32:37.5951373Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.5951379Z 
2022-11-23T01:32:37.5951464Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.5951538Z               24 RETURN_VALUE
2022-11-23T01:32:37.5951599Z  
2022-11-23T01:32:37.5951604Z 
2022-11-23T01:32:37.5951872Z [2022-11-23 01:22:32,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.5952082Z [2022-11-23 01:22:32,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.5952328Z [2022-11-23 01:22:32,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.5952554Z [2022-11-23 01:22:32,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.5952826Z [2022-11-23 01:22:32,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.5953063Z [2022-11-23 01:22:32,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.5953372Z [2022-11-23 01:22:32,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.5953583Z [2022-11-23 01:22:32,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.5953829Z [2022-11-23 01:22:32,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.5954106Z [2022-11-23 01:22:32,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.5954382Z [2022-11-23 01:22:32,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.5954692Z [2022-11-23 01:22:32,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5955007Z [2022-11-23 01:22:32,364] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f65428a0, file "inductor/test_torchinductor.py", line 107> 
2022-11-23T01:32:37.5955103Z  107           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.5955195Z               2 LOAD_METHOD              1 (add)
2022-11-23T01:32:37.5955285Z               4 LOAD_FAST                1 (y)
2022-11-23T01:32:37.5955373Z               6 LOAD_FAST                0 (x)
2022-11-23T01:32:37.5955460Z               8 CALL_METHOD              2
2022-11-23T01:32:37.5955540Z              10 RETURN_VALUE
2022-11-23T01:32:37.5955601Z  
2022-11-23T01:32:37.5955607Z 
2022-11-23T01:32:37.5955811Z [2022-11-23 01:22:32,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.5956175Z [2022-11-23 01:22:32,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.5956489Z [2022-11-23 01:22:32,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.5956834Z [2022-11-23 01:22:32,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.5957338Z [2022-11-23 01:22:32,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.5957589Z [2022-11-23 01:22:32,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5957931Z [2022-11-23 01:22:32,367] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f65428a0, file "inductor/test_torchinductor.py", line 107>
2022-11-23T01:32:37.5958169Z [2022-11-23 01:22:32,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.5958433Z [2022-11-23 01:22:32,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.5958643Z [2022-11-23 01:22:32,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.5958875Z [2022-11-23 01:22:32,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5959214Z [2022-11-23 01:22:32,367] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.5959460Z [2022-11-23 01:22:32,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.5959693Z [2022-11-23 01:22:32,368] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.5959946Z [2022-11-23 01:22:32,369] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.5960195Z [2022-11-23 01:22:32,389] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.5960435Z [2022-11-23 01:22:32,389] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.5960570Z  __compiled_fn_230 <eval_with_key>.1441 opcode, name, target, args, kwargs
2022-11-23T01:32:37.5960662Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.5960736Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.5960854Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.5961133Z call_function, add, <built-in method add of type object at 0x7f71f2abebc0>, (ex_1_, model_linear), {}
2022-11-23T01:32:37.5961233Z output, output, output, ((add,),), {}
2022-11-23T01:32:37.5961238Z 
2022-11-23T01:32:37.5961517Z [2022-11-23 01:22:32,390] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5961613Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.5961703Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5961797Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.5961875Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.5961950Z               8 RETURN_VALUE
2022-11-23T01:32:37.5961955Z 
2022-11-23T01:32:37.5962015Z  
2022-11-23T01:32:37.5962285Z [2022-11-23 01:22:32,390] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.5962393Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_230)
2022-11-23T01:32:37.5962481Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5962573Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.5962647Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.5962722Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.5962807Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.5962881Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.5962969Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.5963061Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.5963136Z              18 RETURN_VALUE
2022-11-23T01:32:37.5963141Z 
2022-11-23T01:32:37.5963201Z  
2022-11-23T01:32:37.5963369Z [2022-11-23 01:22:32,392] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.5963438Z  - 
2022-11-23T01:32:37.5963555Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.5963618Z             {
2022-11-23T01:32:37.5963755Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.5963941Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.5964062Z                 'obj_weakref': None
2022-11-23T01:32:37.5964273Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.5964335Z             }
2022-11-23T01:32:37.5964401Z             
2022-11-23T01:32:37.5964472Z  - 
2022-11-23T01:32:37.5964594Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.5964658Z             {
2022-11-23T01:32:37.5964797Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5964889Z                 'code': None,
2022-11-23T01:32:37.5965097Z                 'obj_weakref': <weakref at 0x7f71062ac9b0; to 'Tensor' at 0x7f7129e3ec50>
2022-11-23T01:32:37.5965342Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5965404Z             }
2022-11-23T01:32:37.5965466Z             
2022-11-23T01:32:37.5965536Z  - 
2022-11-23T01:32:37.5965656Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.5965706Z             {
2022-11-23T01:32:37.5965846Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.5965951Z                 'code': None,
2022-11-23T01:32:37.5966154Z                 'obj_weakref': <weakref at 0x7f7106cb65f0; to 'Tensor' at 0x7f7129e3ed70>
2022-11-23T01:32:37.5966399Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.5966495Z             }
2022-11-23T01:32:37.5966561Z             
2022-11-23T01:32:37.5966618Z  - 
2022-11-23T01:32:37.5966736Z             local 'model' NN_MODULE
2022-11-23T01:32:37.5966798Z             {
2022-11-23T01:32:37.5966932Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.5967100Z                 'code': ['___check_obj_id(model, 140123422656208)'],
2022-11-23T01:32:37.5967347Z                 'obj_weakref': <weakref at 0x7f710699ebf0; to 'M' at 0x7f7106d506d0>
2022-11-23T01:32:37.5967561Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.5967611Z             }
2022-11-23T01:32:37.5967675Z             
2022-11-23T01:32:37.5967743Z  - 
2022-11-23T01:32:37.5967862Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.5967923Z             {
2022-11-23T01:32:37.5968057Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.5968276Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.5968383Z                 'obj_weakref': None
2022-11-23T01:32:37.5968601Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.5968662Z             }
2022-11-23T01:32:37.5968724Z             
2022-11-23T01:32:37.5968791Z  - 
2022-11-23T01:32:37.5968924Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.5968986Z             {
2022-11-23T01:32:37.5969095Z                 'guard_types': None,
2022-11-23T01:32:37.5969199Z                 'code': None,
2022-11-23T01:32:37.5969314Z                 'obj_weakref': None
2022-11-23T01:32:37.5969433Z                 'guarded_class': None
2022-11-23T01:32:37.5969497Z             }
2022-11-23T01:32:37.5969560Z             
2022-11-23T01:32:37.5969615Z  - 
2022-11-23T01:32:37.5969770Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.5969834Z             {
2022-11-23T01:32:37.5969951Z                 'guard_types': None,
2022-11-23T01:32:37.5970057Z                 'code': None,
2022-11-23T01:32:37.5970171Z                 'obj_weakref': None
2022-11-23T01:32:37.5970291Z                 'guarded_class': None
2022-11-23T01:32:37.5970340Z             }
2022-11-23T01:32:37.5970402Z             
2022-11-23T01:32:37.5970469Z  - 
2022-11-23T01:32:37.5970636Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.5970700Z             {
2022-11-23T01:32:37.5970825Z                 'guard_types': None,
2022-11-23T01:32:37.5970928Z                 'code': None,
2022-11-23T01:32:37.5971036Z                 'obj_weakref': None
2022-11-23T01:32:37.5971153Z                 'guarded_class': None
2022-11-23T01:32:37.5971215Z             }
2022-11-23T01:32:37.5971276Z             
2022-11-23T01:32:37.5971536Z [2022-11-23 01:22:32,417] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 223
2022-11-23T01:32:37.5971541Z 
2022-11-23T01:32:37.5971633Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5971702Z import torch
2022-11-23T01:32:37.5971757Z import random
2022-11-23T01:32:37.5971871Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5971994Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5971999Z 
2022-11-23T01:32:37.5972076Z aten = torch.ops.aten
2022-11-23T01:32:37.5972211Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5972301Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5972308Z 
2022-11-23T01:32:37.5972313Z 
2022-11-23T01:32:37.5972443Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5972647Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5972752Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.5972859Z                        const bfloat16* __restrict__ in_ptr0)
2022-11-23T01:32:37.5972917Z {
2022-11-23T01:32:37.5973015Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5973106Z     {
2022-11-23T01:32:37.5973183Z         #pragma omp for 
2022-11-23T01:32:37.5973264Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.5973314Z         {
2022-11-23T01:32:37.5973376Z             {
2022-11-23T01:32:37.5973439Z                 {
2022-11-23T01:32:37.5973558Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.5973672Z                     auto tmp1 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.5973789Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.5973879Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.5973931Z                 }
2022-11-23T01:32:37.5973993Z             }
2022-11-23T01:32:37.5974054Z         }
2022-11-23T01:32:37.5974115Z     }
2022-11-23T01:32:37.5974175Z }
2022-11-23T01:32:37.5974254Z ''')
2022-11-23T01:32:37.5974259Z 
2022-11-23T01:32:37.5974263Z 
2022-11-23T01:32:37.5974351Z async_compile.wait(globals())
2022-11-23T01:32:37.5974409Z del async_compile
2022-11-23T01:32:37.5974416Z 
2022-11-23T01:32:37.5974486Z def call(args):
2022-11-23T01:32:37.5974575Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:32:37.5974645Z     args.clear()
2022-11-23T01:32:37.5974845Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.5975015Z     aten.addmm.out(arg1_1, as_strided(arg2_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.5975085Z     del arg0_1
2022-11-23T01:32:37.5975141Z     del arg1_1
2022-11-23T01:32:37.5975211Z     del arg2_1
2022-11-23T01:32:37.5975326Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.5975460Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.5975527Z     del arg3_1
2022-11-23T01:32:37.5975599Z     return (buf1, )
2022-11-23T01:32:37.5975604Z 
2022-11-23T01:32:37.5975608Z 
2022-11-23T01:32:37.5975685Z if __name__ == "__main__":
2022-11-23T01:32:37.5975802Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5975911Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5976115Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.5976311Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.5976515Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.5976726Z     arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.5976856Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:32:37.5976861Z 
2022-11-23T01:32:37.5976865Z 
2022-11-23T01:32:37.5976958Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5977029Z import torch
2022-11-23T01:32:37.5977084Z import random
2022-11-23T01:32:37.5977200Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5977320Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5977327Z 
2022-11-23T01:32:37.5977407Z aten = torch.ops.aten
2022-11-23T01:32:37.5977542Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5977635Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5977639Z 
2022-11-23T01:32:37.5977644Z 
2022-11-23T01:32:37.5977777Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5977986Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5978093Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.5978203Z                        const bfloat16* __restrict__ in_ptr0)
2022-11-23T01:32:37.5978264Z {
2022-11-23T01:32:37.5978362Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5978426Z     {
2022-11-23T01:32:37.5978505Z         #pragma omp for 
2022-11-23T01:32:37.5978588Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.5978639Z         {
2022-11-23T01:32:37.5978735Z             {
2022-11-23T01:32:37.5978801Z                 {
2022-11-23T01:32:37.5978924Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.5979040Z                     auto tmp1 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.5979132Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.5979224Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.5979277Z                 }
2022-11-23T01:32:37.5979341Z             }
2022-11-23T01:32:37.5979437Z         }
2022-11-23T01:32:37.5979499Z     }
2022-11-23T01:32:37.5979558Z }
2022-11-23T01:32:37.5979639Z ''')
2022-11-23T01:32:37.5979644Z 
2022-11-23T01:32:37.5979648Z 
2022-11-23T01:32:37.5979738Z async_compile.wait(globals())
2022-11-23T01:32:37.5979797Z del async_compile
2022-11-23T01:32:37.5979801Z 
2022-11-23T01:32:37.5979873Z def call(args):
2022-11-23T01:32:37.5979956Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.5980027Z     args.clear()
2022-11-23T01:32:37.5980229Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.5980379Z     aten.mm.out(as_strided(arg1_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.5980448Z     del arg0_1
2022-11-23T01:32:37.5980501Z     del arg1_1
2022-11-23T01:32:37.5980615Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.5980747Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.5980818Z     del arg2_1
2022-11-23T01:32:37.5980889Z     return (buf1, )
2022-11-23T01:32:37.5980893Z 
2022-11-23T01:32:37.5980898Z 
2022-11-23T01:32:37.5980971Z if __name__ == "__main__":
2022-11-23T01:32:37.5981087Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5981211Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5981399Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.5981602Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.5981809Z     arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.5981932Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.5981937Z 
2022-11-23T01:32:37.5981942Z 
2022-11-23T01:32:37.5982037Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5982105Z import torch
2022-11-23T01:32:37.5982173Z import random
2022-11-23T01:32:37.5982287Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5982393Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5982398Z 
2022-11-23T01:32:37.5982475Z aten = torch.ops.aten
2022-11-23T01:32:37.5982606Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5982695Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5982700Z 
2022-11-23T01:32:37.5982704Z 
2022-11-23T01:32:37.5982835Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5983038Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5983156Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.5983264Z                        const bfloat16* __restrict__ in_ptr0)
2022-11-23T01:32:37.5983311Z {
2022-11-23T01:32:37.5983407Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5983467Z     {
2022-11-23T01:32:37.5983543Z         #pragma omp for 
2022-11-23T01:32:37.5983626Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.5983691Z         {
2022-11-23T01:32:37.5983753Z             {
2022-11-23T01:32:37.5983805Z                 {
2022-11-23T01:32:37.5983923Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.5984035Z                     auto tmp1 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.5984125Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.5984214Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.5984307Z                 }
2022-11-23T01:32:37.5984369Z             }
2022-11-23T01:32:37.5984418Z         }
2022-11-23T01:32:37.5984586Z     }
2022-11-23T01:32:37.5984648Z }
2022-11-23T01:32:37.5984734Z ''')
2022-11-23T01:32:37.5984739Z 
2022-11-23T01:32:37.5984743Z 
2022-11-23T01:32:37.5984833Z async_compile.wait(globals())
2022-11-23T01:32:37.5984905Z del async_compile
2022-11-23T01:32:37.5984909Z 
2022-11-23T01:32:37.5984980Z def call(args):
2022-11-23T01:32:37.5985093Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:32:37.5985165Z     args.clear()
2022-11-23T01:32:37.5985365Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.5985517Z     aten.addmm.out(arg1_1, arg2_1, as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.5985586Z     del arg0_1
2022-11-23T01:32:37.5985654Z     del arg1_1
2022-11-23T01:32:37.5985720Z     del arg2_1
2022-11-23T01:32:37.5985790Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.5985924Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.5985991Z     del arg3_1
2022-11-23T01:32:37.5986062Z     return (buf1, )
2022-11-23T01:32:37.5986068Z 
2022-11-23T01:32:37.5986072Z 
2022-11-23T01:32:37.5986148Z if __name__ == "__main__":
2022-11-23T01:32:37.5986259Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5986380Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5986569Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.5986759Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.5986952Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.5987145Z     arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.5987271Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:32:37.5987276Z 
2022-11-23T01:32:37.5987282Z 
2022-11-23T01:32:37.5987374Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5987441Z import torch
2022-11-23T01:32:37.5987508Z import random
2022-11-23T01:32:37.5987609Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5987727Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5987732Z 
2022-11-23T01:32:37.5987807Z aten = torch.ops.aten
2022-11-23T01:32:37.5987939Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5988030Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5988034Z 
2022-11-23T01:32:37.5988038Z 
2022-11-23T01:32:37.5988169Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5988369Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5988489Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.5988596Z                        const bfloat16* __restrict__ in_ptr0)
2022-11-23T01:32:37.5988646Z {
2022-11-23T01:32:37.5988742Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5988803Z     {
2022-11-23T01:32:37.5988880Z         #pragma omp for 
2022-11-23T01:32:37.5988962Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.5989023Z         {
2022-11-23T01:32:37.5989073Z             {
2022-11-23T01:32:37.5989135Z                 {
2022-11-23T01:32:37.5989254Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.5989367Z                     auto tmp1 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.5989458Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.5989546Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.5989608Z                 }
2022-11-23T01:32:37.5989659Z             }
2022-11-23T01:32:37.5989719Z         }
2022-11-23T01:32:37.5989779Z     }
2022-11-23T01:32:37.5989837Z }
2022-11-23T01:32:37.5989914Z ''')
2022-11-23T01:32:37.5989919Z 
2022-11-23T01:32:37.5989923Z 
2022-11-23T01:32:37.5990011Z async_compile.wait(globals())
2022-11-23T01:32:37.5990111Z del async_compile
2022-11-23T01:32:37.5990116Z 
2022-11-23T01:32:37.5990173Z def call(args):
2022-11-23T01:32:37.5990253Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.5990322Z     args.clear()
2022-11-23T01:32:37.5990519Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.5990640Z     aten.mm.out(arg1_1, as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.5990706Z     del arg0_1
2022-11-23T01:32:37.5990807Z     del arg1_1
2022-11-23T01:32:37.5990878Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.5991008Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.5991073Z     del arg2_1
2022-11-23T01:32:37.5991142Z     return (buf1, )
2022-11-23T01:32:37.5991147Z 
2022-11-23T01:32:37.5991151Z 
2022-11-23T01:32:37.5991229Z if __name__ == "__main__":
2022-11-23T01:32:37.5991341Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5991464Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5991664Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.5991846Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.5992039Z     arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.5992159Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.5992166Z 
2022-11-23T01:32:37.5992170Z 
2022-11-23T01:32:37.5992262Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.5992333Z import torch
2022-11-23T01:32:37.5992401Z import random
2022-11-23T01:32:37.5992513Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.5992630Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.5992635Z 
2022-11-23T01:32:37.5992699Z aten = torch.ops.aten
2022-11-23T01:32:37.5992829Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.5992922Z async_compile = AsyncCompile()
2022-11-23T01:32:37.5992927Z 
2022-11-23T01:32:37.5992931Z 
2022-11-23T01:32:37.5993064Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.5993265Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.5993386Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.5993496Z                        const bfloat16* __restrict__ in_ptr0)
2022-11-23T01:32:37.5993563Z {
2022-11-23T01:32:37.5993648Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.5993710Z     {
2022-11-23T01:32:37.5993786Z         #pragma omp for 
2022-11-23T01:32:37.5993867Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.5993928Z         {
2022-11-23T01:32:37.5993991Z             {
2022-11-23T01:32:37.5994054Z                 {
2022-11-23T01:32:37.5994154Z                     auto tmp0 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.5994271Z                     auto tmp1 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.5994364Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.5994453Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.5994518Z                 }
2022-11-23T01:32:37.5994579Z             }
2022-11-23T01:32:37.5994640Z         }
2022-11-23T01:32:37.5994688Z     }
2022-11-23T01:32:37.5994746Z }
2022-11-23T01:32:37.5994823Z ''')
2022-11-23T01:32:37.5994828Z 
2022-11-23T01:32:37.5994832Z 
2022-11-23T01:32:37.5994922Z async_compile.wait(globals())
2022-11-23T01:32:37.5994992Z del async_compile
2022-11-23T01:32:37.5994997Z 
2022-11-23T01:32:37.5995065Z def call(args):
2022-11-23T01:32:37.5995152Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:32:37.5995209Z     args.clear()
2022-11-23T01:32:37.5995406Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.5995573Z     aten.addmm.out(arg1_1, as_strided(arg2_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.5995669Z     del arg0_1
2022-11-23T01:32:37.5995736Z     del arg1_1
2022-11-23T01:32:37.5995800Z     del arg2_1
2022-11-23T01:32:37.5995915Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.5996034Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.5996098Z     del arg3_1
2022-11-23T01:32:37.5996168Z     return (buf1, )
2022-11-23T01:32:37.5996172Z 
2022-11-23T01:32:37.5996203Z 
2022-11-23T01:32:37.5996278Z if __name__ == "__main__":
2022-11-23T01:32:37.5996390Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.5996510Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.5996709Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.5996905Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.5997097Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.5997430Z     arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.5997560Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:32:37.5997936Z [2022-11-23 01:22:34,965] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2m/c2m6kxsm7hkacoynequttufsuozb76hldwpbj5hnfuvfwao34cvf.py
2022-11-23T01:32:37.5998208Z [2022-11-23 01:22:34,966] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 223
2022-11-23T01:32:37.5998447Z [2022-11-23 01:22:34,977] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.5998715Z [2022-11-23 01:22:34,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.5998933Z [2022-11-23 01:22:34,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.5999176Z [2022-11-23 01:22:34,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.5999440Z [2022-11-23 01:22:34,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.5999756Z [2022-11-23 01:22:34,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6000094Z [2022-11-23 01:22:34,978] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.6000189Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6000287Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.6000378Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6000468Z                6 CALL_METHOD              1
2022-11-23T01:32:37.6000557Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.6000565Z 
2022-11-23T01:32:37.6000656Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6000737Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.6000825Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6000911Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.6000998Z               18 CALL_METHOD              2
2022-11-23T01:32:37.6001085Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.6001092Z 
2022-11-23T01:32:37.6001177Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6001251Z               24 RETURN_VALUE
2022-11-23T01:32:37.6001299Z  
2022-11-23T01:32:37.6001303Z 
2022-11-23T01:32:37.6001572Z [2022-11-23 01:22:34,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.6001784Z [2022-11-23 01:22:34,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6002036Z [2022-11-23 01:22:34,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.6002329Z [2022-11-23 01:22:34,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.6002605Z [2022-11-23 01:22:34,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.6002877Z [2022-11-23 01:22:34,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6003146Z [2022-11-23 01:22:34,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.6003356Z [2022-11-23 01:22:34,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6003593Z [2022-11-23 01:22:34,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.6003845Z [2022-11-23 01:22:34,988] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.6004123Z [2022-11-23 01:22:34,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.6004441Z [2022-11-23 01:22:34,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6004775Z [2022-11-23 01:22:34,989] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f65428a0, file "inductor/test_torchinductor.py", line 107> 
2022-11-23T01:32:37.6004871Z  107           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.6004965Z               2 LOAD_METHOD              1 (add)
2022-11-23T01:32:37.6005056Z               4 LOAD_FAST                1 (y)
2022-11-23T01:32:37.6005146Z               6 LOAD_FAST                0 (x)
2022-11-23T01:32:37.6005221Z               8 CALL_METHOD              2
2022-11-23T01:32:37.6005296Z              10 RETURN_VALUE
2022-11-23T01:32:37.6005360Z  
2022-11-23T01:32:37.6005365Z 
2022-11-23T01:32:37.6005582Z [2022-11-23 01:22:34,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.6005942Z [2022-11-23 01:22:34,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.6006257Z [2022-11-23 01:22:34,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.6006599Z [2022-11-23 01:22:34,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.6006980Z [2022-11-23 01:22:34,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6007227Z [2022-11-23 01:22:34,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6007550Z [2022-11-23 01:22:34,992] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f65428a0, file "inductor/test_torchinductor.py", line 107>
2022-11-23T01:32:37.6007785Z [2022-11-23 01:22:34,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6008052Z [2022-11-23 01:22:34,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.6008259Z [2022-11-23 01:22:34,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6008506Z [2022-11-23 01:22:34,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6008839Z [2022-11-23 01:22:34,993] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.6009124Z [2022-11-23 01:22:34,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6009355Z [2022-11-23 01:22:34,993] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6009605Z [2022-11-23 01:22:34,994] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6009894Z [2022-11-23 01:22:35,004] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6010069Z [2022-11-23 01:22:35,005] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6010202Z  __compiled_fn_231 <eval_with_key>.1447 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6010291Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6010378Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.6010496Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.6010741Z call_function, add, <built-in method add of type object at 0x7f71f2abebc0>, (ex_1_, model_linear), {}
2022-11-23T01:32:37.6010837Z output, output, output, ((add,),), {}
2022-11-23T01:32:37.6010842Z 
2022-11-23T01:32:37.6011117Z [2022-11-23 01:22:35,005] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6011198Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6011290Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6011387Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6011478Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6011554Z               8 RETURN_VALUE
2022-11-23T01:32:37.6011560Z 
2022-11-23T01:32:37.6011620Z  
2022-11-23T01:32:37.6011890Z [2022-11-23 01:22:35,005] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6011997Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_231)
2022-11-23T01:32:37.6012076Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6012166Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6012245Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6012334Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6012423Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.6012499Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.6012589Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.6012669Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6012745Z              18 RETURN_VALUE
2022-11-23T01:32:37.6012750Z 
2022-11-23T01:32:37.6012812Z  
2022-11-23T01:32:37.6012992Z [2022-11-23 01:22:35,007] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6013063Z  - 
2022-11-23T01:32:37.6013184Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6013249Z             {
2022-11-23T01:32:37.6013376Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6013566Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.6013686Z                 'obj_weakref': None
2022-11-23T01:32:37.6013910Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6013975Z             }
2022-11-23T01:32:37.6014040Z             
2022-11-23T01:32:37.6014111Z  - 
2022-11-23T01:32:37.6014222Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6014288Z             {
2022-11-23T01:32:37.6014432Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6014539Z                 'code': None,
2022-11-23T01:32:37.6014747Z                 'obj_weakref': <weakref at 0x7f710699eb30; to 'Tensor' at 0x7f7106253350>
2022-11-23T01:32:37.6014996Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6015063Z             }
2022-11-23T01:32:37.6015113Z             
2022-11-23T01:32:37.6015212Z  - 
2022-11-23T01:32:37.6015337Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.6015400Z             {
2022-11-23T01:32:37.6015544Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6015651Z                 'code': None,
2022-11-23T01:32:37.6015859Z                 'obj_weakref': <weakref at 0x7f710699e050; to 'Tensor' at 0x7f7106253410>
2022-11-23T01:32:37.6016154Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6016219Z             }
2022-11-23T01:32:37.6016285Z             
2022-11-23T01:32:37.6016356Z  - 
2022-11-23T01:32:37.6016477Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6016541Z             {
2022-11-23T01:32:37.6016677Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6016833Z                 'code': ['___check_obj_id(model, 140123415537168)'],
2022-11-23T01:32:37.6017033Z                 'obj_weakref': <weakref at 0x7f7106bd17d0; to 'M' at 0x7f7106686610>
2022-11-23T01:32:37.6017247Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.6017312Z             }
2022-11-23T01:32:37.6017378Z             
2022-11-23T01:32:37.6017448Z  - 
2022-11-23T01:32:37.6017570Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6017622Z             {
2022-11-23T01:32:37.6017759Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6017979Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6018097Z                 'obj_weakref': None
2022-11-23T01:32:37.6018315Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6018379Z             }
2022-11-23T01:32:37.6018442Z             
2022-11-23T01:32:37.6018496Z  - 
2022-11-23T01:32:37.6018628Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.6018689Z             {
2022-11-23T01:32:37.6018807Z                 'guard_types': None,
2022-11-23T01:32:37.6018917Z                 'code': None,
2022-11-23T01:32:37.6019035Z                 'obj_weakref': None
2022-11-23T01:32:37.6019156Z                 'guarded_class': None
2022-11-23T01:32:37.6019207Z             }
2022-11-23T01:32:37.6019271Z             
2022-11-23T01:32:37.6019337Z  - 
2022-11-23T01:32:37.6019490Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.6019552Z             {
2022-11-23T01:32:37.6019670Z                 'guard_types': None,
2022-11-23T01:32:37.6019763Z                 'code': None,
2022-11-23T01:32:37.6019876Z                 'obj_weakref': None
2022-11-23T01:32:37.6019993Z                 'guarded_class': None
2022-11-23T01:32:37.6020054Z             }
2022-11-23T01:32:37.6020115Z             
2022-11-23T01:32:37.6020182Z  - 
2022-11-23T01:32:37.6020346Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.6020396Z             {
2022-11-23T01:32:37.6020512Z                 'guard_types': None,
2022-11-23T01:32:37.6020618Z                 'code': None,
2022-11-23T01:32:37.6020732Z                 'obj_weakref': None
2022-11-23T01:32:37.6020849Z                 'guarded_class': None
2022-11-23T01:32:37.6020909Z             }
2022-11-23T01:32:37.6020971Z             
2022-11-23T01:32:37.6021219Z [2022-11-23 01:22:35,023] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 224
2022-11-23T01:32:37.6021592Z [2022-11-23 01:22:35,037] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mj/cmj7l5dnlqufxsewzp5ukxe7tdbcl5y3adhl5zeetizomjcgtm7m.py
2022-11-23T01:32:37.6021854Z [2022-11-23 01:22:35,037] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 224
2022-11-23T01:32:37.6022089Z [2022-11-23 01:22:35,044] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6022353Z [2022-11-23 01:22:35,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6022603Z [2022-11-23 01:22:35,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6022844Z [2022-11-23 01:22:35,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6023119Z [2022-11-23 01:22:35,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6023460Z [2022-11-23 01:22:35,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6023794Z [2022-11-23 01:22:35,044] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.6023876Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6023970Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.6024059Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6024150Z                6 CALL_METHOD              1
2022-11-23T01:32:37.6024239Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.6024245Z 
2022-11-23T01:32:37.6024335Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6024430Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.6024576Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6024668Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.6024756Z               18 CALL_METHOD              2
2022-11-23T01:32:37.6024843Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.6024848Z 
2022-11-23T01:32:37.6024934Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6025010Z               24 RETURN_VALUE
2022-11-23T01:32:37.6025071Z  
2022-11-23T01:32:37.6025076Z 
2022-11-23T01:32:37.6025352Z [2022-11-23 01:22:35,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.6025553Z [2022-11-23 01:22:35,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6025800Z [2022-11-23 01:22:35,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.6026042Z [2022-11-23 01:22:35,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.6026317Z [2022-11-23 01:22:35,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.6026553Z [2022-11-23 01:22:35,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6026821Z [2022-11-23 01:22:35,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.6027031Z [2022-11-23 01:22:35,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6027277Z [2022-11-23 01:22:35,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.6027526Z [2022-11-23 01:22:35,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.6027789Z [2022-11-23 01:22:35,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.6028104Z [2022-11-23 01:22:35,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6028436Z [2022-11-23 01:22:35,070] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f65428a0, file "inductor/test_torchinductor.py", line 107> 
2022-11-23T01:32:37.6028531Z  107           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.6028623Z               2 LOAD_METHOD              1 (add)
2022-11-23T01:32:37.6028712Z               4 LOAD_FAST                1 (y)
2022-11-23T01:32:37.6028799Z               6 LOAD_FAST                0 (x)
2022-11-23T01:32:37.6028920Z               8 CALL_METHOD              2
2022-11-23T01:32:37.6028984Z              10 RETURN_VALUE
2022-11-23T01:32:37.6029043Z  
2022-11-23T01:32:37.6029049Z 
2022-11-23T01:32:37.6029264Z [2022-11-23 01:22:35,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.6029652Z [2022-11-23 01:22:35,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.6029970Z [2022-11-23 01:22:35,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.6030310Z [2022-11-23 01:22:35,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.6030684Z [2022-11-23 01:22:35,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6030931Z [2022-11-23 01:22:35,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6031266Z [2022-11-23 01:22:35,075] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f65428a0, file "inductor/test_torchinductor.py", line 107>
2022-11-23T01:32:37.6031504Z [2022-11-23 01:22:35,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6031771Z [2022-11-23 01:22:35,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.6031968Z [2022-11-23 01:22:35,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6032210Z [2022-11-23 01:22:35,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6032548Z [2022-11-23 01:22:35,075] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.6032791Z [2022-11-23 01:22:35,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6033023Z [2022-11-23 01:22:35,075] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6033273Z [2022-11-23 01:22:35,077] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6033521Z [2022-11-23 01:22:35,103] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6033709Z [2022-11-23 01:22:35,103] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6033841Z  __compiled_fn_232 <eval_with_key>.1453 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6033918Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6034007Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.6034121Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.6034360Z call_function, add, <built-in method add of type object at 0x7f71f2abebc0>, (ex_1_, model_linear), {}
2022-11-23T01:32:37.6034453Z output, output, output, ((add,),), {}
2022-11-23T01:32:37.6034459Z 
2022-11-23T01:32:37.6034733Z [2022-11-23 01:22:35,104] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6034828Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6034917Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6034997Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6035086Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6035160Z               8 RETURN_VALUE
2022-11-23T01:32:37.6035165Z 
2022-11-23T01:32:37.6035225Z  
2022-11-23T01:32:37.6035496Z [2022-11-23 01:22:35,104] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6035631Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_232)
2022-11-23T01:32:37.6035719Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6035796Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6035870Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6035957Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6036068Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.6036143Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.6036232Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.6036320Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6036382Z              18 RETURN_VALUE
2022-11-23T01:32:37.6036399Z 
2022-11-23T01:32:37.6036445Z  
2022-11-23T01:32:37.6036626Z [2022-11-23 01:22:35,106] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6036695Z  - 
2022-11-23T01:32:37.6036815Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6036881Z             {
2022-11-23T01:32:37.6037019Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6037385Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.6037494Z                 'obj_weakref': None
2022-11-23T01:32:37.6037720Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6037785Z             }
2022-11-23T01:32:37.6037851Z             
2022-11-23T01:32:37.6037922Z  - 
2022-11-23T01:32:37.6038046Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6038097Z             {
2022-11-23T01:32:37.6038237Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6038343Z                 'code': None,
2022-11-23T01:32:37.6038552Z                 'obj_weakref': <weakref at 0x7f7106db2cb0; to 'Tensor' at 0x7f7193acb110>
2022-11-23T01:32:37.6038801Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6038870Z             }
2022-11-23T01:32:37.6038934Z             
2022-11-23T01:32:37.6039003Z  - 
2022-11-23T01:32:37.6039111Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.6039173Z             {
2022-11-23T01:32:37.6039313Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6039418Z                 'code': None,
2022-11-23T01:32:37.6039624Z                 'obj_weakref': <weakref at 0x7f710636c410; to 'Tensor' at 0x7f710699e710>
2022-11-23T01:32:37.6039869Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6039938Z             }
2022-11-23T01:32:37.6040001Z             
2022-11-23T01:32:37.6040069Z  - 
2022-11-23T01:32:37.6040188Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6040249Z             {
2022-11-23T01:32:37.6040382Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6040551Z                 'code': ['___check_obj_id(model, 140123418393296)'],
2022-11-23T01:32:37.6040750Z                 'obj_weakref': <weakref at 0x7f710636cfb0; to 'M' at 0x7f710693fad0>
2022-11-23T01:32:37.6040949Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.6041011Z             }
2022-11-23T01:32:37.6041073Z             
2022-11-23T01:32:37.6041140Z  - 
2022-11-23T01:32:37.6041259Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6041323Z             {
2022-11-23T01:32:37.6041456Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6041661Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6041777Z                 'obj_weakref': None
2022-11-23T01:32:37.6041994Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6042057Z             }
2022-11-23T01:32:37.6042118Z             
2022-11-23T01:32:37.6042240Z  - 
2022-11-23T01:32:37.6042375Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.6042425Z             {
2022-11-23T01:32:37.6042545Z                 'guard_types': None,
2022-11-23T01:32:37.6042653Z                 'code': None,
2022-11-23T01:32:37.6042769Z                 'obj_weakref': None
2022-11-23T01:32:37.6042890Z                 'guarded_class': None
2022-11-23T01:32:37.6042954Z             }
2022-11-23T01:32:37.6043003Z             
2022-11-23T01:32:37.6043072Z  - 
2022-11-23T01:32:37.6043262Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.6043327Z             {
2022-11-23T01:32:37.6043445Z                 'guard_types': None,
2022-11-23T01:32:37.6043550Z                 'code': None,
2022-11-23T01:32:37.6043666Z                 'obj_weakref': None
2022-11-23T01:32:37.6043773Z                 'guarded_class': None
2022-11-23T01:32:37.6043836Z             }
2022-11-23T01:32:37.6043900Z             
2022-11-23T01:32:37.6043967Z  - 
2022-11-23T01:32:37.6044135Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.6044200Z             {
2022-11-23T01:32:37.6044315Z                 'guard_types': None,
2022-11-23T01:32:37.6044407Z                 'code': None,
2022-11-23T01:32:37.6044522Z                 'obj_weakref': None
2022-11-23T01:32:37.6044641Z                 'guarded_class': None
2022-11-23T01:32:37.6044702Z             }
2022-11-23T01:32:37.6044765Z             
2022-11-23T01:32:37.6045024Z [2022-11-23 01:22:35,137] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 225
2022-11-23T01:32:37.6045399Z [2022-11-23 01:22:37,725] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4r/c4rilruzuqvqstz62pnu7bltyooinswxptvlf7pypqdga5pookv5.py
2022-11-23T01:32:37.6045650Z [2022-11-23 01:22:37,726] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 225
2022-11-23T01:32:37.6045882Z [2022-11-23 01:22:37,736] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6046149Z [2022-11-23 01:22:37,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6046361Z [2022-11-23 01:22:37,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6046598Z [2022-11-23 01:22:37,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6046874Z [2022-11-23 01:22:37,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6047186Z [2022-11-23 01:22:37,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6047518Z [2022-11-23 01:22:37,737] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.6047612Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6047707Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.6047784Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6047871Z                6 CALL_METHOD              1
2022-11-23T01:32:37.6047960Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.6047967Z 
2022-11-23T01:32:37.6048056Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6048151Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.6048238Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6048323Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.6048399Z               18 CALL_METHOD              2
2022-11-23T01:32:37.6048484Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.6048488Z 
2022-11-23T01:32:37.6048572Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6048647Z               24 RETURN_VALUE
2022-11-23T01:32:37.6048739Z  
2022-11-23T01:32:37.6048744Z 
2022-11-23T01:32:37.6049012Z [2022-11-23 01:22:37,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.6049223Z [2022-11-23 01:22:37,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6049467Z [2022-11-23 01:22:37,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.6049721Z [2022-11-23 01:22:37,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.6049997Z [2022-11-23 01:22:37,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.6050233Z [2022-11-23 01:22:37,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6050497Z [2022-11-23 01:22:37,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.6050707Z [2022-11-23 01:22:37,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6050956Z [2022-11-23 01:22:37,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.6051204Z [2022-11-23 01:22:37,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.6051479Z [2022-11-23 01:22:37,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.6051790Z [2022-11-23 01:22:37,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6052122Z [2022-11-23 01:22:37,746] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f65428a0, file "inductor/test_torchinductor.py", line 107> 
2022-11-23T01:32:37.6052205Z  107           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.6052300Z               2 LOAD_METHOD              1 (add)
2022-11-23T01:32:37.6052389Z               4 LOAD_FAST                1 (y)
2022-11-23T01:32:37.6052480Z               6 LOAD_FAST                0 (x)
2022-11-23T01:32:37.6052567Z               8 CALL_METHOD              2
2022-11-23T01:32:37.6052641Z              10 RETURN_VALUE
2022-11-23T01:32:37.6052701Z  
2022-11-23T01:32:37.6052706Z 
2022-11-23T01:32:37.6052911Z [2022-11-23 01:22:37,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.6053271Z [2022-11-23 01:22:37,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.6053585Z [2022-11-23 01:22:37,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.6053925Z [2022-11-23 01:22:37,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.6054306Z [2022-11-23 01:22:37,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6054548Z [2022-11-23 01:22:37,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6054881Z [2022-11-23 01:22:37,749] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f65428a0, file "inductor/test_torchinductor.py", line 107>
2022-11-23T01:32:37.6055119Z [2022-11-23 01:22:37,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6055383Z [2022-11-23 01:22:37,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.6055592Z [2022-11-23 01:22:37,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6055873Z [2022-11-23 01:22:37,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6056196Z [2022-11-23 01:22:37,750] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.6056442Z [2022-11-23 01:22:37,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6056714Z [2022-11-23 01:22:37,750] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6056970Z [2022-11-23 01:22:37,751] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6057219Z [2022-11-23 01:22:37,760] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6057410Z [2022-11-23 01:22:37,760] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6057545Z  __compiled_fn_233 <eval_with_key>.1459 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6057637Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6057725Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.6057827Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.6058069Z call_function, add, <built-in method add of type object at 0x7f71f2abebc0>, (ex_1_, model_linear), {}
2022-11-23T01:32:37.6058164Z output, output, output, ((add,),), {}
2022-11-23T01:32:37.6058171Z 
2022-11-23T01:32:37.6058447Z [2022-11-23 01:22:37,761] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6058542Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6058633Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6058725Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6058817Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6058882Z               8 RETURN_VALUE
2022-11-23T01:32:37.6058887Z 
2022-11-23T01:32:37.6058948Z  
2022-11-23T01:32:37.6059221Z [2022-11-23 01:22:37,761] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6059330Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_233)
2022-11-23T01:32:37.6059421Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6059511Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6059591Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6059668Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6059757Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.6059833Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.6059922Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.6060014Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6060090Z              18 RETURN_VALUE
2022-11-23T01:32:37.6060095Z 
2022-11-23T01:32:37.6060158Z  
2022-11-23T01:32:37.6060327Z [2022-11-23 01:22:37,762] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6060398Z  - 
2022-11-23T01:32:37.6060519Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6060584Z             {
2022-11-23T01:32:37.6060725Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6060912Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.6061033Z                 'obj_weakref': None
2022-11-23T01:32:37.6061247Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6061312Z             }
2022-11-23T01:32:37.6061376Z             
2022-11-23T01:32:37.6061445Z  - 
2022-11-23T01:32:37.6061571Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6061635Z             {
2022-11-23T01:32:37.6061779Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6061871Z                 'code': None,
2022-11-23T01:32:37.6062080Z                 'obj_weakref': <weakref at 0x7f7193acb110; to 'Tensor' at 0x7f7106a47bf0>
2022-11-23T01:32:37.6062356Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6062420Z             }
2022-11-23T01:32:37.6062484Z             
2022-11-23T01:32:37.6062551Z  - 
2022-11-23T01:32:37.6062675Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.6062725Z             {
2022-11-23T01:32:37.6062897Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6063005Z                 'code': None,
2022-11-23T01:32:37.6063212Z                 'obj_weakref': <weakref at 0x7f7106d4add0; to 'Tensor' at 0x7f7106bd1dd0>
2022-11-23T01:32:37.6063461Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6063523Z             }
2022-11-23T01:32:37.6063585Z             
2022-11-23T01:32:37.6063641Z  - 
2022-11-23T01:32:37.6063759Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6063822Z             {
2022-11-23T01:32:37.6063958Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6064126Z                 'code': ['___check_obj_id(model, 140126549421584)'],
2022-11-23T01:32:37.6064323Z                 'obj_weakref': <weakref at 0x7f7129e57170; to 'M' at 0x7f71c133ae10>
2022-11-23T01:32:37.6064621Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.6064690Z             }
2022-11-23T01:32:37.6064740Z             
2022-11-23T01:32:37.6064810Z  - 
2022-11-23T01:32:37.6064931Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6064995Z             {
2022-11-23T01:32:37.6065129Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6065345Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6065450Z                 'obj_weakref': None
2022-11-23T01:32:37.6065666Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6065731Z             }
2022-11-23T01:32:37.6065795Z             
2022-11-23T01:32:37.6065864Z  - 
2022-11-23T01:32:37.6065997Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.6066061Z             {
2022-11-23T01:32:37.6066167Z                 'guard_types': None,
2022-11-23T01:32:37.6066270Z                 'code': None,
2022-11-23T01:32:37.6066387Z                 'obj_weakref': None
2022-11-23T01:32:37.6066508Z                 'guarded_class': None
2022-11-23T01:32:37.6066571Z             }
2022-11-23T01:32:37.6066635Z             
2022-11-23T01:32:37.6066702Z  - 
2022-11-23T01:32:37.6066845Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.6066907Z             {
2022-11-23T01:32:37.6067024Z                 'guard_types': None,
2022-11-23T01:32:37.6067127Z                 'code': None,
2022-11-23T01:32:37.6067241Z                 'obj_weakref': None
2022-11-23T01:32:37.6067358Z                 'guarded_class': None
2022-11-23T01:32:37.6067425Z             }
2022-11-23T01:32:37.6067474Z             
2022-11-23T01:32:37.6067540Z  - 
2022-11-23T01:32:37.6067704Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.6067766Z             {
2022-11-23T01:32:37.6067883Z                 'guard_types': None,
2022-11-23T01:32:37.6067987Z                 'code': None,
2022-11-23T01:32:37.6068089Z                 'obj_weakref': None
2022-11-23T01:32:37.6068209Z                 'guarded_class': None
2022-11-23T01:32:37.6068271Z             }
2022-11-23T01:32:37.6068331Z             
2022-11-23T01:32:37.6068587Z [2022-11-23 01:22:37,776] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 226
2022-11-23T01:32:37.6068955Z [2022-11-23 01:22:37,788] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vg/cvgfjp3cvqmyg6tfqiiixqnstozmi7hhmsw2o7a565fqscsd3odx.py
2022-11-23T01:32:37.6069216Z [2022-11-23 01:22:37,788] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 226
2022-11-23T01:32:37.6069485Z [2022-11-23 01:22:37,795] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6069739Z [2022-11-23 01:22:37,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6069954Z [2022-11-23 01:22:37,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6070220Z [2022-11-23 01:22:37,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6070496Z [2022-11-23 01:22:37,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6070809Z [2022-11-23 01:22:37,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6071139Z [2022-11-23 01:22:37,795] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.6071235Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6071331Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.6071421Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6071497Z                6 CALL_METHOD              1
2022-11-23T01:32:37.6071587Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.6071594Z 
2022-11-23T01:32:37.6071683Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6071778Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.6071864Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6071951Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.6072039Z               18 CALL_METHOD              2
2022-11-23T01:32:37.6072125Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.6072132Z 
2022-11-23T01:32:37.6072204Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6072277Z               24 RETURN_VALUE
2022-11-23T01:32:37.6072336Z  
2022-11-23T01:32:37.6072341Z 
2022-11-23T01:32:37.6072607Z [2022-11-23 01:22:37,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.6072820Z [2022-11-23 01:22:37,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6073067Z [2022-11-23 01:22:37,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.6073305Z [2022-11-23 01:22:37,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.6073576Z [2022-11-23 01:22:37,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.6073812Z [2022-11-23 01:22:37,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6074066Z [2022-11-23 01:22:37,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.6074273Z [2022-11-23 01:22:37,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6074521Z [2022-11-23 01:22:37,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.6074769Z [2022-11-23 01:22:37,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.6075043Z [2022-11-23 01:22:37,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.6075353Z [2022-11-23 01:22:37,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6075682Z [2022-11-23 01:22:37,817] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f6542d20, file "inductor/test_torchinductor.py", line 108> 
2022-11-23T01:32:37.6075802Z  108           0 LOAD_FAST                0 (x)
2022-11-23T01:32:37.6075895Z               2 LOAD_METHOD              0 (add)
2022-11-23T01:32:37.6075973Z               4 LOAD_FAST                1 (y)
2022-11-23T01:32:37.6076058Z               6 CALL_METHOD              1
2022-11-23T01:32:37.6076133Z               8 RETURN_VALUE
2022-11-23T01:32:37.6076193Z  
2022-11-23T01:32:37.6076198Z 
2022-11-23T01:32:37.6076433Z [2022-11-23 01:22:37,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6076673Z [2022-11-23 01:22:37,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TensorVariable()]
2022-11-23T01:32:37.6076943Z [2022-11-23 01:22:37,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add)]
2022-11-23T01:32:37.6077395Z [2022-11-23 01:22:37,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add), TensorVariable()]
2022-11-23T01:32:37.6077631Z [2022-11-23 01:22:37,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6077971Z [2022-11-23 01:22:37,820] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f6542d20, file "inductor/test_torchinductor.py", line 108>
2022-11-23T01:32:37.6078209Z [2022-11-23 01:22:37,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6078474Z [2022-11-23 01:22:37,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.6078681Z [2022-11-23 01:22:37,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6078927Z [2022-11-23 01:22:37,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6079264Z [2022-11-23 01:22:37,820] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.6079512Z [2022-11-23 01:22:37,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6079746Z [2022-11-23 01:22:37,820] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6080004Z [2022-11-23 01:22:37,822] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6080242Z [2022-11-23 01:22:37,841] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6080429Z [2022-11-23 01:22:37,842] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6080567Z  __compiled_fn_234 <eval_with_key>.1465 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6080657Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6080745Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.6080859Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.6080970Z call_method, add, add, (model_linear, ex_1_), {}
2022-11-23T01:32:37.6081052Z output, output, output, ((add,),), {}
2022-11-23T01:32:37.6081068Z 
2022-11-23T01:32:37.6081332Z [2022-11-23 01:22:37,842] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6081426Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6081521Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6081610Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6081699Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6081775Z               8 RETURN_VALUE
2022-11-23T01:32:37.6081780Z 
2022-11-23T01:32:37.6081840Z  
2022-11-23T01:32:37.6082098Z [2022-11-23 01:22:37,842] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6082205Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_234)
2022-11-23T01:32:37.6082345Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6082432Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6082509Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6082595Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6082683Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.6082756Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.6082832Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.6082954Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6083029Z              18 RETURN_VALUE
2022-11-23T01:32:37.6083034Z 
2022-11-23T01:32:37.6083095Z  
2022-11-23T01:32:37.6083278Z [2022-11-23 01:22:37,844] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6083348Z  - 
2022-11-23T01:32:37.6083468Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6083518Z             {
2022-11-23T01:32:37.6083660Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6083847Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.6083969Z                 'obj_weakref': None
2022-11-23T01:32:37.6084195Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6084259Z             }
2022-11-23T01:32:37.6084321Z             
2022-11-23T01:32:37.6084375Z  - 
2022-11-23T01:32:37.6084497Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6084563Z             {
2022-11-23T01:32:37.6084705Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6084809Z                 'code': None,
2022-11-23T01:32:37.6085012Z                 'obj_weakref': <weakref at 0x7f70f2791890; to 'Tensor' at 0x7f7129f5a950>
2022-11-23T01:32:37.6085259Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6085310Z             }
2022-11-23T01:32:37.6085373Z             
2022-11-23T01:32:37.6085445Z  - 
2022-11-23T01:32:37.6085567Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.6085631Z             {
2022-11-23T01:32:37.6085771Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6085878Z                 'code': None,
2022-11-23T01:32:37.6086071Z                 'obj_weakref': <weakref at 0x7f71070fc5f0; to 'Tensor' at 0x7f71066d8770>
2022-11-23T01:32:37.6086322Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6086385Z             }
2022-11-23T01:32:37.6086447Z             
2022-11-23T01:32:37.6086515Z  - 
2022-11-23T01:32:37.6086631Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6086694Z             {
2022-11-23T01:32:37.6086814Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6086981Z                 'code': ['___check_obj_id(model, 140123415452304)'],
2022-11-23T01:32:37.6087182Z                 'obj_weakref': <weakref at 0x7f7106789ad0; to 'M' at 0x7f7106671a90>
2022-11-23T01:32:37.6087394Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.6087457Z             }
2022-11-23T01:32:37.6087518Z             
2022-11-23T01:32:37.6087585Z  - 
2022-11-23T01:32:37.6087693Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6087756Z             {
2022-11-23T01:32:37.6087890Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6088110Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6088225Z                 'obj_weakref': None
2022-11-23T01:32:37.6088440Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6088502Z             }
2022-11-23T01:32:37.6088551Z             
2022-11-23T01:32:37.6088619Z  - 
2022-11-23T01:32:37.6088772Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.6088835Z             {
2022-11-23T01:32:37.6088985Z                 'guard_types': None,
2022-11-23T01:32:37.6089088Z                 'code': None,
2022-11-23T01:32:37.6089203Z                 'obj_weakref': None
2022-11-23T01:32:37.6089311Z                 'guarded_class': None
2022-11-23T01:32:37.6089372Z             }
2022-11-23T01:32:37.6089434Z             
2022-11-23T01:32:37.6089502Z  - 
2022-11-23T01:32:37.6089668Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.6089730Z             {
2022-11-23T01:32:37.6089862Z                 'guard_types': None,
2022-11-23T01:32:37.6089966Z                 'code': None,
2022-11-23T01:32:37.6090081Z                 'obj_weakref': None
2022-11-23T01:32:37.6090199Z                 'guarded_class': None
2022-11-23T01:32:37.6090262Z             }
2022-11-23T01:32:37.6090323Z             
2022-11-23T01:32:37.6090581Z [2022-11-23 01:22:37,888] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 227
2022-11-23T01:32:37.6090947Z [2022-11-23 01:22:37,901] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wc/cwcntjr7vwlnf7a7ddrqmbiidwchit5l7243ftfaqek4cepbhvc4.py
2022-11-23T01:32:37.6091198Z [2022-11-23 01:22:37,902] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 227
2022-11-23T01:32:37.6091433Z [2022-11-23 01:22:37,908] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6091701Z [2022-11-23 01:22:37,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6091915Z [2022-11-23 01:22:37,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6092157Z [2022-11-23 01:22:37,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6092429Z [2022-11-23 01:22:37,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6092740Z [2022-11-23 01:22:37,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6093075Z [2022-11-23 01:22:37,909] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.6093168Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6093251Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.6093345Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6093432Z                6 CALL_METHOD              1
2022-11-23T01:32:37.6093522Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.6093527Z 
2022-11-23T01:32:37.6093616Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6093710Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.6093800Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6093886Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.6093964Z               18 CALL_METHOD              2
2022-11-23T01:32:37.6094050Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.6094055Z 
2022-11-23T01:32:37.6094137Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6094215Z               24 RETURN_VALUE
2022-11-23T01:32:37.6094274Z  
2022-11-23T01:32:37.6094279Z 
2022-11-23T01:32:37.6094546Z [2022-11-23 01:22:37,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.6094761Z [2022-11-23 01:22:37,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6095008Z [2022-11-23 01:22:37,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.6095235Z [2022-11-23 01:22:37,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.6095507Z [2022-11-23 01:22:37,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.6095773Z [2022-11-23 01:22:37,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6096036Z [2022-11-23 01:22:37,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.6096244Z [2022-11-23 01:22:37,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6096536Z [2022-11-23 01:22:37,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.6096784Z [2022-11-23 01:22:37,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.6097060Z [2022-11-23 01:22:37,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.6097373Z [2022-11-23 01:22:37,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6097695Z [2022-11-23 01:22:37,918] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f6542d20, file "inductor/test_torchinductor.py", line 108> 
2022-11-23T01:32:37.6097784Z  108           0 LOAD_FAST                0 (x)
2022-11-23T01:32:37.6097878Z               2 LOAD_METHOD              0 (add)
2022-11-23T01:32:37.6097968Z               4 LOAD_FAST                1 (y)
2022-11-23T01:32:37.6098058Z               6 CALL_METHOD              1
2022-11-23T01:32:37.6098136Z               8 RETURN_VALUE
2022-11-23T01:32:37.6098198Z  
2022-11-23T01:32:37.6098203Z 
2022-11-23T01:32:37.6098413Z [2022-11-23 01:22:37,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6098639Z [2022-11-23 01:22:37,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TensorVariable()]
2022-11-23T01:32:37.6098913Z [2022-11-23 01:22:37,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add)]
2022-11-23T01:32:37.6099222Z [2022-11-23 01:22:37,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add), TensorVariable()]
2022-11-23T01:32:37.6099468Z [2022-11-23 01:22:37,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6099809Z [2022-11-23 01:22:37,921] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f6542d20, file "inductor/test_torchinductor.py", line 108>
2022-11-23T01:32:37.6100048Z [2022-11-23 01:22:37,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6100316Z [2022-11-23 01:22:37,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.6100523Z [2022-11-23 01:22:37,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6100771Z [2022-11-23 01:22:37,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6101112Z [2022-11-23 01:22:37,921] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.6101344Z [2022-11-23 01:22:37,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6101581Z [2022-11-23 01:22:37,921] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6101833Z [2022-11-23 01:22:37,923] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6102084Z [2022-11-23 01:22:37,932] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6102272Z [2022-11-23 01:22:37,932] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6102407Z  __compiled_fn_235 <eval_with_key>.1471 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6102527Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6102614Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.6102716Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.6102825Z call_method, add, add, (model_linear, ex_1_), {}
2022-11-23T01:32:37.6102922Z output, output, output, ((add,),), {}
2022-11-23T01:32:37.6102927Z 
2022-11-23T01:32:37.6103243Z [2022-11-23 01:22:37,932] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6103340Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6103432Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6103524Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6103615Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6103680Z               8 RETURN_VALUE
2022-11-23T01:32:37.6103685Z 
2022-11-23T01:32:37.6103749Z  
2022-11-23T01:32:37.6104019Z [2022-11-23 01:22:37,932] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6104130Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_235)
2022-11-23T01:32:37.6104221Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6104312Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6104390Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6104535Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6104627Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.6104701Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.6104790Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.6104882Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6104960Z              18 RETURN_VALUE
2022-11-23T01:32:37.6104965Z 
2022-11-23T01:32:37.6105025Z  
2022-11-23T01:32:37.6105209Z [2022-11-23 01:22:37,934] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6105296Z  - 
2022-11-23T01:32:37.6105413Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6105478Z             {
2022-11-23T01:32:37.6105618Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6105803Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.6105927Z                 'obj_weakref': None
2022-11-23T01:32:37.6106150Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6106205Z             }
2022-11-23T01:32:37.6106269Z             
2022-11-23T01:32:37.6106359Z  - 
2022-11-23T01:32:37.6106483Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6106544Z             {
2022-11-23T01:32:37.6106684Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6106778Z                 'code': None,
2022-11-23T01:32:37.6106983Z                 'obj_weakref': <weakref at 0x7f70f2e095f0; to 'Tensor' at 0x7f7106e88950>
2022-11-23T01:32:37.6107227Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6107297Z             }
2022-11-23T01:32:37.6107358Z             
2022-11-23T01:32:37.6107425Z  - 
2022-11-23T01:32:37.6107548Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.6107598Z             {
2022-11-23T01:32:37.6107738Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6107842Z                 'code': None,
2022-11-23T01:32:37.6108045Z                 'obj_weakref': <weakref at 0x7f7106789470; to 'Tensor' at 0x7f7106e88a70>
2022-11-23T01:32:37.6108293Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6108356Z             }
2022-11-23T01:32:37.6108418Z             
2022-11-23T01:32:37.6108485Z  - 
2022-11-23T01:32:37.6108592Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6108653Z             {
2022-11-23T01:32:37.6108785Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6108988Z                 'code': ['___check_obj_id(model, 140123420883600)'],
2022-11-23T01:32:37.6109184Z                 'obj_weakref': <weakref at 0x7f7106d85950; to 'M' at 0x7f7106b9fa90>
2022-11-23T01:32:37.6109395Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.6109458Z             }
2022-11-23T01:32:37.6109507Z             
2022-11-23T01:32:37.6109574Z  - 
2022-11-23T01:32:37.6109721Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6109784Z             {
2022-11-23T01:32:37.6109917Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6110134Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6110250Z                 'obj_weakref': None
2022-11-23T01:32:37.6110455Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6110517Z             }
2022-11-23T01:32:37.6110584Z             
2022-11-23T01:32:37.6110652Z  - 
2022-11-23T01:32:37.6110806Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.6110868Z             {
2022-11-23T01:32:37.6110985Z                 'guard_types': None,
2022-11-23T01:32:37.6111078Z                 'code': None,
2022-11-23T01:32:37.6111192Z                 'obj_weakref': None
2022-11-23T01:32:37.6111311Z                 'guarded_class': None
2022-11-23T01:32:37.6111373Z             }
2022-11-23T01:32:37.6111438Z             
2022-11-23T01:32:37.6111504Z  - 
2022-11-23T01:32:37.6111658Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.6111719Z             {
2022-11-23T01:32:37.6111842Z                 'guard_types': None,
2022-11-23T01:32:37.6111946Z                 'code': None,
2022-11-23T01:32:37.6112064Z                 'obj_weakref': None
2022-11-23T01:32:37.6112183Z                 'guarded_class': None
2022-11-23T01:32:37.6112246Z             }
2022-11-23T01:32:37.6112298Z             
2022-11-23T01:32:37.6112559Z [2022-11-23 01:22:37,949] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 228
2022-11-23T01:32:37.6112565Z 
2022-11-23T01:32:37.6112570Z 
2022-11-23T01:32:37.6112661Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6112728Z import torch
2022-11-23T01:32:37.6112796Z import random
2022-11-23T01:32:37.6112909Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6113031Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6113036Z 
2022-11-23T01:32:37.6113113Z aten = torch.ops.aten
2022-11-23T01:32:37.6113234Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6113323Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6113328Z 
2022-11-23T01:32:37.6113333Z 
2022-11-23T01:32:37.6113464Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6113666Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6113787Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.6113895Z                        const bfloat16* __restrict__ in_ptr0)
2022-11-23T01:32:37.6113955Z {
2022-11-23T01:32:37.6114052Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6114101Z     {
2022-11-23T01:32:37.6114178Z         #pragma omp for 
2022-11-23T01:32:37.6114259Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.6114321Z         {
2022-11-23T01:32:37.6114383Z             {
2022-11-23T01:32:37.6114447Z                 {
2022-11-23T01:32:37.6114550Z                     auto tmp0 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.6114669Z                     auto tmp1 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6114758Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.6114845Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6114908Z                 }
2022-11-23T01:32:37.6114971Z             }
2022-11-23T01:32:37.6115033Z         }
2022-11-23T01:32:37.6115108Z     }
2022-11-23T01:32:37.6115167Z }
2022-11-23T01:32:37.6115245Z ''')
2022-11-23T01:32:37.6115250Z 
2022-11-23T01:32:37.6115254Z 
2022-11-23T01:32:37.6115344Z async_compile.wait(globals())
2022-11-23T01:32:37.6115415Z del async_compile
2022-11-23T01:32:37.6115420Z 
2022-11-23T01:32:37.6115488Z def call(args):
2022-11-23T01:32:37.6115570Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.6115638Z     args.clear()
2022-11-23T01:32:37.6115856Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6116001Z     aten.mm.out(as_strided(arg1_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.6116068Z     del arg0_1
2022-11-23T01:32:37.6116134Z     del arg1_1
2022-11-23T01:32:37.6116251Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.6116383Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.6116448Z     del arg2_1
2022-11-23T01:32:37.6116508Z     return (buf1, )
2022-11-23T01:32:37.6116513Z 
2022-11-23T01:32:37.6116517Z 
2022-11-23T01:32:37.6116590Z if __name__ == "__main__":
2022-11-23T01:32:37.6116702Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6116823Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6117023Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6117359Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6117565Z     arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6117686Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.6117692Z 
2022-11-23T01:32:37.6117696Z 
2022-11-23T01:32:37.6117790Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6117846Z import torch
2022-11-23T01:32:37.6117915Z import random
2022-11-23T01:32:37.6118029Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6118152Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6118156Z 
2022-11-23T01:32:37.6118236Z aten = torch.ops.aten
2022-11-23T01:32:37.6118371Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6118463Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6118468Z 
2022-11-23T01:32:37.6118472Z 
2022-11-23T01:32:37.6118591Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6118799Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6118919Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.6119027Z                        const bfloat16* __restrict__ in_ptr0)
2022-11-23T01:32:37.6119092Z {
2022-11-23T01:32:37.6119190Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6119251Z     {
2022-11-23T01:32:37.6119314Z         #pragma omp for 
2022-11-23T01:32:37.6119395Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.6119459Z         {
2022-11-23T01:32:37.6119521Z             {
2022-11-23T01:32:37.6119585Z                 {
2022-11-23T01:32:37.6119698Z                     auto tmp0 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.6119817Z                     auto tmp1 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6119895Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.6119983Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6120045Z                 }
2022-11-23T01:32:37.6120109Z             }
2022-11-23T01:32:37.6120173Z         }
2022-11-23T01:32:37.6120232Z     }
2022-11-23T01:32:37.6120291Z }
2022-11-23T01:32:37.6120354Z ''')
2022-11-23T01:32:37.6120359Z 
2022-11-23T01:32:37.6120363Z 
2022-11-23T01:32:37.6120450Z async_compile.wait(globals())
2022-11-23T01:32:37.6120520Z del async_compile
2022-11-23T01:32:37.6120525Z 
2022-11-23T01:32:37.6120593Z def call(args):
2022-11-23T01:32:37.6120683Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:32:37.6120845Z     args.clear()
2022-11-23T01:32:37.6121045Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6121198Z     aten.addmm.out(arg1_1, arg2_1, as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.6121253Z     del arg0_1
2022-11-23T01:32:37.6121322Z     del arg1_1
2022-11-23T01:32:37.6121388Z     del arg2_1
2022-11-23T01:32:37.6121474Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.6121654Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.6121721Z     del arg3_1
2022-11-23T01:32:37.6121778Z     return (buf1, )
2022-11-23T01:32:37.6121795Z 
2022-11-23T01:32:37.6121799Z 
2022-11-23T01:32:37.6121861Z if __name__ == "__main__":
2022-11-23T01:32:37.6121972Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6122094Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6122296Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6122492Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6122686Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6122878Z     arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6123003Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:32:37.6123009Z 
2022-11-23T01:32:37.6123013Z 
2022-11-23T01:32:37.6123095Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6123163Z import torch
2022-11-23T01:32:37.6123232Z import random
2022-11-23T01:32:37.6123345Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6123464Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6123469Z 
2022-11-23T01:32:37.6123544Z aten = torch.ops.aten
2022-11-23T01:32:37.6123679Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6123757Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6123777Z 
2022-11-23T01:32:37.6123781Z 
2022-11-23T01:32:37.6123899Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6124103Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6124221Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.6124330Z                        const bfloat16* __restrict__ in_ptr0)
2022-11-23T01:32:37.6124393Z {
2022-11-23T01:32:37.6124493Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6124554Z     {
2022-11-23T01:32:37.6124618Z         #pragma omp for 
2022-11-23T01:32:37.6124698Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.6124759Z         {
2022-11-23T01:32:37.6124821Z             {
2022-11-23T01:32:37.6124886Z                 {
2022-11-23T01:32:37.6125000Z                     auto tmp0 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.6125118Z                     auto tmp1 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6125198Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.6125286Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6125349Z                 }
2022-11-23T01:32:37.6125410Z             }
2022-11-23T01:32:37.6125471Z         }
2022-11-23T01:32:37.6125531Z     }
2022-11-23T01:32:37.6125578Z }
2022-11-23T01:32:37.6125656Z ''')
2022-11-23T01:32:37.6125661Z 
2022-11-23T01:32:37.6125665Z 
2022-11-23T01:32:37.6125752Z async_compile.wait(globals())
2022-11-23T01:32:37.6125826Z del async_compile
2022-11-23T01:32:37.6125830Z 
2022-11-23T01:32:37.6125899Z def call(args):
2022-11-23T01:32:37.6125980Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.6126050Z     args.clear()
2022-11-23T01:32:37.6126248Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6126356Z     aten.mm.out(arg1_1, as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.6126422Z     del arg0_1
2022-11-23T01:32:37.6126489Z     del arg1_1
2022-11-23T01:32:37.6126609Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.6126739Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.6126805Z     del arg2_1
2022-11-23T01:32:37.6126875Z     return (buf1, )
2022-11-23T01:32:37.6126880Z 
2022-11-23T01:32:37.6126884Z 
2022-11-23T01:32:37.6126946Z if __name__ == "__main__":
2022-11-23T01:32:37.6127056Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6127205Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6127406Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6127601Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6127795Z     arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6127914Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.6127920Z 
2022-11-23T01:32:37.6127924Z 
2022-11-23T01:32:37.6128017Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6128087Z import torch
2022-11-23T01:32:37.6128143Z import random
2022-11-23T01:32:37.6128255Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6128372Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6128377Z 
2022-11-23T01:32:37.6128453Z aten = torch.ops.aten
2022-11-23T01:32:37.6128587Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6128679Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6128683Z 
2022-11-23T01:32:37.6128687Z 
2022-11-23T01:32:37.6128819Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6129009Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6129127Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.6129233Z                        const bfloat16* __restrict__ in_ptr0)
2022-11-23T01:32:37.6129294Z {
2022-11-23T01:32:37.6129393Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6129457Z     {
2022-11-23T01:32:37.6129532Z         #pragma omp for 
2022-11-23T01:32:37.6129602Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.6129664Z         {
2022-11-23T01:32:37.6129726Z             {
2022-11-23T01:32:37.6129788Z                 {
2022-11-23T01:32:37.6129906Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6130021Z                     auto tmp1 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.6130111Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.6130188Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6130251Z                 }
2022-11-23T01:32:37.6130314Z             }
2022-11-23T01:32:37.6130375Z         }
2022-11-23T01:32:37.6130438Z     }
2022-11-23T01:32:37.6130497Z }
2022-11-23T01:32:37.6130573Z ''')
2022-11-23T01:32:37.6130578Z 
2022-11-23T01:32:37.6130582Z 
2022-11-23T01:32:37.6130658Z async_compile.wait(globals())
2022-11-23T01:32:37.6130730Z del async_compile
2022-11-23T01:32:37.6130735Z 
2022-11-23T01:32:37.6130803Z def call(args):
2022-11-23T01:32:37.6130891Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:32:37.6130960Z     args.clear()
2022-11-23T01:32:37.6131158Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6131331Z     aten.addmm.out(arg1_1, as_strided(arg2_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.6131405Z     del arg0_1
2022-11-23T01:32:37.6131459Z     del arg1_1
2022-11-23T01:32:37.6131526Z     del arg2_1
2022-11-23T01:32:37.6131640Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.6131775Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.6131847Z     del arg3_1
2022-11-23T01:32:37.6131920Z     return (buf1, )
2022-11-23T01:32:37.6131925Z 
2022-11-23T01:32:37.6131929Z 
2022-11-23T01:32:37.6132005Z if __name__ == "__main__":
2022-11-23T01:32:37.6132141Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6132265Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6132471Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6132667Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6132896Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6133105Z     arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6133235Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:32:37.6133240Z 
2022-11-23T01:32:37.6133244Z 
2022-11-23T01:32:37.6133338Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6133409Z import torch
2022-11-23T01:32:37.6133467Z import random
2022-11-23T01:32:37.6133584Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6133705Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6133710Z 
2022-11-23T01:32:37.6133788Z aten = torch.ops.aten
2022-11-23T01:32:37.6133923Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6134014Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6134019Z 
2022-11-23T01:32:37.6134023Z 
2022-11-23T01:32:37.6134156Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6134349Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6134471Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.6134584Z                        const bfloat16* __restrict__ in_ptr0)
2022-11-23T01:32:37.6134646Z {
2022-11-23T01:32:37.6134745Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6134807Z     {
2022-11-23T01:32:37.6134886Z         #pragma omp for 
2022-11-23T01:32:37.6134956Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.6135023Z         {
2022-11-23T01:32:37.6135087Z             {
2022-11-23T01:32:37.6135154Z                 {
2022-11-23T01:32:37.6135274Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6135389Z                     auto tmp1 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.6135482Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.6135560Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6135625Z                 }
2022-11-23T01:32:37.6135694Z             }
2022-11-23T01:32:37.6135758Z         }
2022-11-23T01:32:37.6135821Z     }
2022-11-23T01:32:37.6135881Z }
2022-11-23T01:32:37.6135961Z ''')
2022-11-23T01:32:37.6135966Z 
2022-11-23T01:32:37.6135970Z 
2022-11-23T01:32:37.6136045Z async_compile.wait(globals())
2022-11-23T01:32:37.6136116Z del async_compile
2022-11-23T01:32:37.6136120Z 
2022-11-23T01:32:37.6136191Z def call(args):
2022-11-23T01:32:37.6136270Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.6136342Z     args.clear()
2022-11-23T01:32:37.6136544Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6136688Z     aten.mm.out(as_strided(arg1_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.6141944Z     del arg0_1
2022-11-23T01:32:37.6142030Z     del arg1_1
2022-11-23T01:32:37.6142152Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.6142296Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.6142366Z     del arg2_1
2022-11-23T01:32:37.6142437Z     return (buf1, )
2022-11-23T01:32:37.6142443Z 
2022-11-23T01:32:37.6142448Z 
2022-11-23T01:32:37.6142525Z if __name__ == "__main__":
2022-11-23T01:32:37.6142642Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6142754Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6142980Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6143265Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6143472Z     arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6143595Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.6143974Z [2022-11-23 01:22:37,960] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wh/cwhkfdwqoch5ejaz56qmdgtvhqyson5a5xw67nmyq6el4ankl5sk.py
2022-11-23T01:32:37.6144274Z [2022-11-23 01:22:37,960] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 228
2022-11-23T01:32:37.6144601Z [2022-11-23 01:22:37,967] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6144873Z [2022-11-23 01:22:37,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6145078Z [2022-11-23 01:22:37,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6145325Z [2022-11-23 01:22:37,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6145602Z [2022-11-23 01:22:37,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6145917Z [2022-11-23 01:22:37,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6146256Z [2022-11-23 01:22:37,967] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.6146351Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6146450Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.6146541Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6146632Z                6 CALL_METHOD              1
2022-11-23T01:32:37.6146711Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.6146716Z 
2022-11-23T01:32:37.6146808Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6146907Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.6146996Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6147083Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.6147170Z               18 CALL_METHOD              2
2022-11-23T01:32:37.6147258Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.6147263Z 
2022-11-23T01:32:37.6147334Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6147410Z               24 RETURN_VALUE
2022-11-23T01:32:37.6147469Z  
2022-11-23T01:32:37.6147473Z 
2022-11-23T01:32:37.6147744Z [2022-11-23 01:22:37,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.6147955Z [2022-11-23 01:22:37,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6148204Z [2022-11-23 01:22:37,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.6148443Z [2022-11-23 01:22:37,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.6148716Z [2022-11-23 01:22:37,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.6148955Z [2022-11-23 01:22:37,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6149207Z [2022-11-23 01:22:37,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.6149415Z [2022-11-23 01:22:37,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6149663Z [2022-11-23 01:22:37,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.6149914Z [2022-11-23 01:22:37,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.6150233Z [2022-11-23 01:22:37,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.6150543Z [2022-11-23 01:22:37,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6150916Z [2022-11-23 01:22:37,986] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f6542d20, file "inductor/test_torchinductor.py", line 108> 
2022-11-23T01:32:37.6151008Z  108           0 LOAD_FAST                0 (x)
2022-11-23T01:32:37.6151101Z               2 LOAD_METHOD              0 (add)
2022-11-23T01:32:37.6151179Z               4 LOAD_FAST                1 (y)
2022-11-23T01:32:37.6151266Z               6 CALL_METHOD              1
2022-11-23T01:32:37.6151344Z               8 RETURN_VALUE
2022-11-23T01:32:37.6151406Z  
2022-11-23T01:32:37.6151413Z 
2022-11-23T01:32:37.6151621Z [2022-11-23 01:22:37,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6151859Z [2022-11-23 01:22:37,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TensorVariable()]
2022-11-23T01:32:37.6152132Z [2022-11-23 01:22:37,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add)]
2022-11-23T01:32:37.6152441Z [2022-11-23 01:22:37,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add), TensorVariable()]
2022-11-23T01:32:37.6152674Z [2022-11-23 01:22:37,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6153008Z [2022-11-23 01:22:37,990] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f6542d20, file "inductor/test_torchinductor.py", line 108>
2022-11-23T01:32:37.6153247Z [2022-11-23 01:22:37,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6153513Z [2022-11-23 01:22:37,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.6153720Z [2022-11-23 01:22:37,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6153965Z [2022-11-23 01:22:37,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6154302Z [2022-11-23 01:22:37,990] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.6154548Z [2022-11-23 01:22:37,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6154786Z [2022-11-23 01:22:37,990] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6155041Z [2022-11-23 01:22:37,992] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6155279Z [2022-11-23 01:22:38,010] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6155465Z [2022-11-23 01:22:38,010] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6155597Z  __compiled_fn_236 <eval_with_key>.1477 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6155685Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6155775Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.6155893Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.6155999Z call_method, add, add, (model_linear, ex_1_), {}
2022-11-23T01:32:37.6156081Z output, output, output, ((add,),), {}
2022-11-23T01:32:37.6156099Z 
2022-11-23T01:32:37.6156363Z [2022-11-23 01:22:38,011] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6156456Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6156577Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6156671Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6156761Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6156836Z               8 RETURN_VALUE
2022-11-23T01:32:37.6156841Z 
2022-11-23T01:32:37.6156903Z  
2022-11-23T01:32:37.6157295Z [2022-11-23 01:22:38,011] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6157463Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_236)
2022-11-23T01:32:37.6157553Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6157640Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6157717Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6157808Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6157897Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.6157973Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.6158053Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.6158142Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6158218Z              18 RETURN_VALUE
2022-11-23T01:32:37.6158223Z 
2022-11-23T01:32:37.6158285Z  
2022-11-23T01:32:37.6158470Z [2022-11-23 01:22:38,012] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6158541Z  - 
2022-11-23T01:32:37.6158660Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6158711Z             {
2022-11-23T01:32:37.6158856Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6159041Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.6159160Z                 'obj_weakref': None
2022-11-23T01:32:37.6159384Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6159450Z             }
2022-11-23T01:32:37.6159514Z             
2022-11-23T01:32:37.6159570Z  - 
2022-11-23T01:32:37.6159694Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6159760Z             {
2022-11-23T01:32:37.6159902Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6160009Z                 'code': None,
2022-11-23T01:32:37.6160215Z                 'obj_weakref': <weakref at 0x7f7129e57c50; to 'Tensor' at 0x7f7106e886b0>
2022-11-23T01:32:37.6160464Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6160517Z             }
2022-11-23T01:32:37.6160579Z             
2022-11-23T01:32:37.6160650Z  - 
2022-11-23T01:32:37.6160771Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.6160834Z             {
2022-11-23T01:32:37.6160975Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6161080Z                 'code': None,
2022-11-23T01:32:37.6161274Z                 'obj_weakref': <weakref at 0x7f7129e57e30; to 'Tensor' at 0x7f7106d4a4d0>
2022-11-23T01:32:37.6161519Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6161585Z             }
2022-11-23T01:32:37.6161646Z             
2022-11-23T01:32:37.6161714Z  - 
2022-11-23T01:32:37.6161831Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6161894Z             {
2022-11-23T01:32:37.6162015Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6162181Z                 'code': ['___check_obj_id(model, 140123418772816)'],
2022-11-23T01:32:37.6162380Z                 'obj_weakref': <weakref at 0x7f71070fca70; to 'M' at 0x7f710699c550>
2022-11-23T01:32:37.6162591Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.6162653Z             }
2022-11-23T01:32:37.6162715Z             
2022-11-23T01:32:37.6162783Z  - 
2022-11-23T01:32:37.6162890Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6162952Z             {
2022-11-23T01:32:37.6163085Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6163345Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6163463Z                 'obj_weakref': None
2022-11-23T01:32:37.6163684Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6163747Z             }
2022-11-23T01:32:37.6163796Z             
2022-11-23T01:32:37.6163864Z  - 
2022-11-23T01:32:37.6164018Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.6164112Z             {
2022-11-23T01:32:37.6164231Z                 'guard_types': None,
2022-11-23T01:32:37.6164338Z                 'code': None,
2022-11-23T01:32:37.6164457Z                 'obj_weakref': None
2022-11-23T01:32:37.6164566Z                 'guarded_class': None
2022-11-23T01:32:37.6164628Z             }
2022-11-23T01:32:37.6164691Z             
2022-11-23T01:32:37.6164760Z  - 
2022-11-23T01:32:37.6164925Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.6164991Z             {
2022-11-23T01:32:37.6165108Z                 'guard_types': None,
2022-11-23T01:32:37.6165200Z                 'code': None,
2022-11-23T01:32:37.6165316Z                 'obj_weakref': None
2022-11-23T01:32:37.6165433Z                 'guarded_class': None
2022-11-23T01:32:37.6165496Z             }
2022-11-23T01:32:37.6165560Z             
2022-11-23T01:32:37.6165819Z [2022-11-23 01:22:38,035] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 229
2022-11-23T01:32:37.6166185Z [2022-11-23 01:22:38,044] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vb/cvbi7hl6mtjtqvlm3svuk6n6op2zl2kpgafkuur5zzyqmmxzbdhp.py
2022-11-23T01:32:37.6166438Z [2022-11-23 01:22:38,044] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 229
2022-11-23T01:32:37.6166673Z [2022-11-23 01:22:38,051] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6166937Z [2022-11-23 01:22:38,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6167157Z [2022-11-23 01:22:38,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6167396Z [2022-11-23 01:22:38,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6167671Z [2022-11-23 01:22:38,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6167984Z [2022-11-23 01:22:38,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6168315Z [2022-11-23 01:22:38,051] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.6168409Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6168492Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.6168584Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6168671Z                6 CALL_METHOD              1
2022-11-23T01:32:37.6168760Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.6168765Z 
2022-11-23T01:32:37.6168859Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6168954Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.6169044Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6169132Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.6169207Z               18 CALL_METHOD              2
2022-11-23T01:32:37.6169293Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.6169298Z 
2022-11-23T01:32:37.6169381Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6169457Z               24 RETURN_VALUE
2022-11-23T01:32:37.6169517Z  
2022-11-23T01:32:37.6169522Z 
2022-11-23T01:32:37.6169790Z [2022-11-23 01:22:38,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.6170031Z [2022-11-23 01:22:38,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6170278Z [2022-11-23 01:22:38,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.6170504Z [2022-11-23 01:22:38,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.6170803Z [2022-11-23 01:22:38,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.6171039Z [2022-11-23 01:22:38,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6171303Z [2022-11-23 01:22:38,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.6171513Z [2022-11-23 01:22:38,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6171763Z [2022-11-23 01:22:38,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.6172011Z [2022-11-23 01:22:38,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.6172286Z [2022-11-23 01:22:38,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.6172598Z [2022-11-23 01:22:38,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6172931Z [2022-11-23 01:22:38,058] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f6542d20, file "inductor/test_torchinductor.py", line 108> 
2022-11-23T01:32:37.6173010Z  108           0 LOAD_FAST                0 (x)
2022-11-23T01:32:37.6173102Z               2 LOAD_METHOD              0 (add)
2022-11-23T01:32:37.6173192Z               4 LOAD_FAST                1 (y)
2022-11-23T01:32:37.6173280Z               6 CALL_METHOD              1
2022-11-23T01:32:37.6173356Z               8 RETURN_VALUE
2022-11-23T01:32:37.6173417Z  
2022-11-23T01:32:37.6173422Z 
2022-11-23T01:32:37.6173633Z [2022-11-23 01:22:38,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6173859Z [2022-11-23 01:22:38,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TensorVariable()]
2022-11-23T01:32:37.6174133Z [2022-11-23 01:22:38,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add)]
2022-11-23T01:32:37.6174440Z [2022-11-23 01:22:38,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add), TensorVariable()]
2022-11-23T01:32:37.6174684Z [2022-11-23 01:22:38,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6175021Z [2022-11-23 01:22:38,060] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f6542d20, file "inductor/test_torchinductor.py", line 108>
2022-11-23T01:32:37.6175261Z [2022-11-23 01:22:38,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6175525Z [2022-11-23 01:22:38,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.6175733Z [2022-11-23 01:22:38,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6175978Z [2022-11-23 01:22:38,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6176315Z [2022-11-23 01:22:38,061] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.6176549Z [2022-11-23 01:22:38,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6176816Z [2022-11-23 01:22:38,061] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6177065Z [2022-11-23 01:22:38,062] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6177311Z [2022-11-23 01:22:38,070] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6177496Z [2022-11-23 01:22:38,070] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6177655Z  __compiled_fn_237 <eval_with_key>.1483 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6177744Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6177828Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.6177932Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.6178039Z call_method, add, add, (model_linear, ex_1_), {}
2022-11-23T01:32:37.6178134Z output, output, output, ((add,),), {}
2022-11-23T01:32:37.6178139Z 
2022-11-23T01:32:37.6178414Z [2022-11-23 01:22:38,070] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6178507Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6178595Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6178685Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6178773Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6178836Z               8 RETURN_VALUE
2022-11-23T01:32:37.6178841Z 
2022-11-23T01:32:37.6178902Z  
2022-11-23T01:32:37.6179174Z [2022-11-23 01:22:38,070] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6179279Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_237)
2022-11-23T01:32:37.6179367Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6179455Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6179531Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6179620Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6179694Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.6179769Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.6179858Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.6179947Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6180021Z              18 RETURN_VALUE
2022-11-23T01:32:37.6180026Z 
2022-11-23T01:32:37.6180086Z  
2022-11-23T01:32:37.6180267Z [2022-11-23 01:22:38,072] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6180323Z  - 
2022-11-23T01:32:37.6180439Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6180502Z             {
2022-11-23T01:32:37.6180641Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6180824Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.6180942Z                 'obj_weakref': None
2022-11-23T01:32:37.6181164Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6181219Z             }
2022-11-23T01:32:37.6181281Z             
2022-11-23T01:32:37.6181348Z  - 
2022-11-23T01:32:37.6181471Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6181533Z             {
2022-11-23T01:32:37.6181673Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6181779Z                 'code': None,
2022-11-23T01:32:37.6181975Z                 'obj_weakref': <weakref at 0x7f7106789ef0; to 'Tensor' at 0x7f71c25cdb30>
2022-11-23T01:32:37.6182224Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6182287Z             }
2022-11-23T01:32:37.6182349Z             
2022-11-23T01:32:37.6182417Z  - 
2022-11-23T01:32:37.6182537Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.6182597Z             {
2022-11-23T01:32:37.6182726Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6182830Z                 'code': None,
2022-11-23T01:32:37.6183062Z                 'obj_weakref': <weakref at 0x7f71067a4710; to 'Tensor' at 0x7f7129e57b30>
2022-11-23T01:32:37.6183307Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6183370Z             }
2022-11-23T01:32:37.6183434Z             
2022-11-23T01:32:37.6183501Z  - 
2022-11-23T01:32:37.6183607Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6183670Z             {
2022-11-23T01:32:37.6183826Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6183996Z                 'code': ['___check_obj_id(model, 140123422866576)'],
2022-11-23T01:32:37.6184194Z                 'obj_weakref': <weakref at 0x7f7106d4a4d0; to 'M' at 0x7f7106d83c90>
2022-11-23T01:32:37.6184406Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.6184555Z             }
2022-11-23T01:32:37.6184609Z             
2022-11-23T01:32:37.6184684Z  - 
2022-11-23T01:32:37.6184807Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6184871Z             {
2022-11-23T01:32:37.6185004Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6185221Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6185339Z                 'obj_weakref': None
2022-11-23T01:32:37.6185547Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6185610Z             }
2022-11-23T01:32:37.6185673Z             
2022-11-23T01:32:37.6185741Z  - 
2022-11-23T01:32:37.6185895Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.6185959Z             {
2022-11-23T01:32:37.6186079Z                 'guard_types': None,
2022-11-23T01:32:37.6186171Z                 'code': None,
2022-11-23T01:32:37.6186287Z                 'obj_weakref': None
2022-11-23T01:32:37.6186407Z                 'guarded_class': None
2022-11-23T01:32:37.6186473Z             }
2022-11-23T01:32:37.6186537Z             
2022-11-23T01:32:37.6186606Z  - 
2022-11-23T01:32:37.6186760Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.6186823Z             {
2022-11-23T01:32:37.6186940Z                 'guard_types': None,
2022-11-23T01:32:37.6187048Z                 'code': None,
2022-11-23T01:32:37.6187164Z                 'obj_weakref': None
2022-11-23T01:32:37.6187282Z                 'guarded_class': None
2022-11-23T01:32:37.6187347Z             }
2022-11-23T01:32:37.6187396Z             
2022-11-23T01:32:37.6187653Z [2022-11-23 01:22:38,084] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 230
2022-11-23T01:32:37.6188024Z [2022-11-23 01:22:38,093] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mz/cmzhpkbpa7m4xzfp2rsj4o43ogg6yfrldzqjz7tuypgjy53l7ffo.py
2022-11-23T01:32:37.6188286Z [2022-11-23 01:22:38,093] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 230
2022-11-23T01:32:37.6188524Z [2022-11-23 01:22:38,100] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6188789Z [2022-11-23 01:22:38,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6189006Z [2022-11-23 01:22:38,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6189248Z [2022-11-23 01:22:38,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6189522Z [2022-11-23 01:22:38,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6189825Z [2022-11-23 01:22:38,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6190155Z [2022-11-23 01:22:38,100] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.6190290Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6190386Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.6190474Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6190563Z                6 CALL_METHOD              1
2022-11-23T01:32:37.6190653Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.6190661Z 
2022-11-23T01:32:37.6190781Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6190876Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.6190951Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6191036Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.6191123Z               18 CALL_METHOD              2
2022-11-23T01:32:37.6191210Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.6191216Z 
2022-11-23T01:32:37.6191301Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6191378Z               24 RETURN_VALUE
2022-11-23T01:32:37.6191439Z  
2022-11-23T01:32:37.6191444Z 
2022-11-23T01:32:37.6191700Z [2022-11-23 01:22:38,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.6191912Z [2022-11-23 01:22:38,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6192161Z [2022-11-23 01:22:38,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.6192399Z [2022-11-23 01:22:38,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.6192673Z [2022-11-23 01:22:38,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.6192911Z [2022-11-23 01:22:38,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6193176Z [2022-11-23 01:22:38,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.6193388Z [2022-11-23 01:22:38,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6193637Z [2022-11-23 01:22:38,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.6193872Z [2022-11-23 01:22:38,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.6194149Z [2022-11-23 01:22:38,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.6194461Z [2022-11-23 01:22:38,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6194794Z [2022-11-23 01:22:38,121] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f64d7ed0, file "inductor/test_torchinductor.py", line 109> 
2022-11-23T01:32:37.6194887Z  109           0 LOAD_FAST                0 (x)
2022-11-23T01:32:37.6194980Z               2 LOAD_METHOD              0 (add_)
2022-11-23T01:32:37.6195071Z               4 LOAD_FAST                1 (y)
2022-11-23T01:32:37.6195157Z               6 CALL_METHOD              1
2022-11-23T01:32:37.6195235Z               8 RETURN_VALUE
2022-11-23T01:32:37.6195282Z  
2022-11-23T01:32:37.6195287Z 
2022-11-23T01:32:37.6195497Z [2022-11-23 01:22:38,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6195736Z [2022-11-23 01:22:38,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()]
2022-11-23T01:32:37.6196009Z [2022-11-23 01:22:38,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)]
2022-11-23T01:32:37.6196318Z [2022-11-23 01:22:38,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()]
2022-11-23T01:32:37.6196591Z [2022-11-23 01:22:38,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6196930Z [2022-11-23 01:22:38,123] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f64d7ed0, file "inductor/test_torchinductor.py", line 109>
2022-11-23T01:32:37.6197288Z [2022-11-23 01:22:38,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6197626Z [2022-11-23 01:22:38,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.6197825Z [2022-11-23 01:22:38,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6198072Z [2022-11-23 01:22:38,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6198414Z [2022-11-23 01:22:38,123] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.6198663Z [2022-11-23 01:22:38,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6198895Z [2022-11-23 01:22:38,123] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6199147Z [2022-11-23 01:22:38,124] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6199398Z [2022-11-23 01:22:38,143] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6199588Z [2022-11-23 01:22:38,144] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6199722Z  __compiled_fn_238 <eval_with_key>.1489 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6199798Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6199886Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.6200000Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.6200110Z call_method, add_, add_, (model_linear, ex_1_), {}
2022-11-23T01:32:37.6200206Z output, output, output, ((add_,),), {}
2022-11-23T01:32:37.6200212Z 
2022-11-23T01:32:37.6200487Z [2022-11-23 01:22:38,144] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6200579Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6200669Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6200750Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6200839Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6200915Z               8 RETURN_VALUE
2022-11-23T01:32:37.6200920Z 
2022-11-23T01:32:37.6200982Z  
2022-11-23T01:32:37.6201255Z [2022-11-23 01:22:38,144] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6201360Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_238)
2022-11-23T01:32:37.6201450Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6201527Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6201602Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6201688Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6201774Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.6201848Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.6201935Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.6202027Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6202089Z              18 RETURN_VALUE
2022-11-23T01:32:37.6202105Z 
2022-11-23T01:32:37.6202152Z  
2022-11-23T01:32:37.6202335Z [2022-11-23 01:22:38,146] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6202405Z  - 
2022-11-23T01:32:37.6202522Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6202586Z             {
2022-11-23T01:32:37.6202724Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6202906Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.6203053Z                 'obj_weakref': None
2022-11-23T01:32:37.6203276Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6203342Z             }
2022-11-23T01:32:37.6203403Z             
2022-11-23T01:32:37.6203474Z  - 
2022-11-23T01:32:37.6203597Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6203662Z             {
2022-11-23T01:32:37.6203827Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6203934Z                 'code': None,
2022-11-23T01:32:37.6204144Z                 'obj_weakref': <weakref at 0x7f710636c410; to 'Tensor' at 0x7f7106e886b0>
2022-11-23T01:32:37.6204394Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6204458Z             }
2022-11-23T01:32:37.6204521Z             
2022-11-23T01:32:37.6204592Z  - 
2022-11-23T01:32:37.6204704Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.6204766Z             {
2022-11-23T01:32:37.6204906Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6205014Z                 'code': None,
2022-11-23T01:32:37.6205217Z                 'obj_weakref': <weakref at 0x7f71066943b0; to 'Tensor' at 0x7f71067a42f0>
2022-11-23T01:32:37.6205463Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6205527Z             }
2022-11-23T01:32:37.6205578Z             
2022-11-23T01:32:37.6205650Z  - 
2022-11-23T01:32:37.6205767Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6205830Z             {
2022-11-23T01:32:37.6205964Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6206132Z                 'code': ['___check_obj_id(model, 140123424047568)'],
2022-11-23T01:32:37.6206327Z                 'obj_weakref': <weakref at 0x7f7106cb6230; to 'M' at 0x7f7106ea41d0>
2022-11-23T01:32:37.6206528Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.6206592Z             }
2022-11-23T01:32:37.6206657Z             
2022-11-23T01:32:37.6206724Z  - 
2022-11-23T01:32:37.6206844Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6206906Z             {
2022-11-23T01:32:37.6207040Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6207248Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6207364Z                 'obj_weakref': None
2022-11-23T01:32:37.6207581Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6207644Z             }
2022-11-23T01:32:37.6207706Z             
2022-11-23T01:32:37.6207772Z  - 
2022-11-23T01:32:37.6207926Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.6207975Z             {
2022-11-23T01:32:37.6208094Z                 'guard_types': None,
2022-11-23T01:32:37.6208201Z                 'code': None,
2022-11-23T01:32:37.6208316Z                 'obj_weakref': None
2022-11-23T01:32:37.6208435Z                 'guarded_class': None
2022-11-23T01:32:37.6208497Z             }
2022-11-23T01:32:37.6208547Z             
2022-11-23T01:32:37.6208613Z  - 
2022-11-23T01:32:37.6208779Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.6208844Z             {
2022-11-23T01:32:37.6208963Z                 'guard_types': None,
2022-11-23T01:32:37.6209068Z                 'code': None,
2022-11-23T01:32:37.6209183Z                 'obj_weakref': None
2022-11-23T01:32:37.6209288Z                 'guarded_class': None
2022-11-23T01:32:37.6209349Z             }
2022-11-23T01:32:37.6209410Z             
2022-11-23T01:32:37.6209669Z [2022-11-23 01:22:38,170] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 231
2022-11-23T01:32:37.6210034Z [2022-11-23 01:22:40,745] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wj/cwjfcovncu34qyy2bjyvcq37dwujwm23jjwb5iel7dc224h6qdc3.py
2022-11-23T01:32:37.6210331Z [2022-11-23 01:22:40,745] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 231
2022-11-23T01:32:37.6210567Z [2022-11-23 01:22:40,759] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6210858Z [2022-11-23 01:22:40,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6211073Z [2022-11-23 01:22:40,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6211302Z [2022-11-23 01:22:40,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6211574Z [2022-11-23 01:22:40,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6211888Z [2022-11-23 01:22:40,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6212222Z [2022-11-23 01:22:40,760] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.6212316Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6212412Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.6212504Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6212591Z                6 CALL_METHOD              1
2022-11-23T01:32:37.6212669Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.6212685Z 
2022-11-23T01:32:37.6212764Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6212859Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.6212946Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6213033Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.6213120Z               18 CALL_METHOD              2
2022-11-23T01:32:37.6213207Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.6213211Z 
2022-11-23T01:32:37.6213296Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6213358Z               24 RETURN_VALUE
2022-11-23T01:32:37.6213417Z  
2022-11-23T01:32:37.6213421Z 
2022-11-23T01:32:37.6213689Z [2022-11-23 01:22:40,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.6213899Z [2022-11-23 01:22:40,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6214149Z [2022-11-23 01:22:40,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.6214385Z [2022-11-23 01:22:40,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.6214661Z [2022-11-23 01:22:40,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.6214899Z [2022-11-23 01:22:40,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6215163Z [2022-11-23 01:22:40,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.6215360Z [2022-11-23 01:22:40,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6215610Z [2022-11-23 01:22:40,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.6215858Z [2022-11-23 01:22:40,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.6216134Z [2022-11-23 01:22:40,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.6216447Z [2022-11-23 01:22:40,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6216806Z [2022-11-23 01:22:40,773] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f64d7ed0, file "inductor/test_torchinductor.py", line 109> 
2022-11-23T01:32:37.6216897Z  109           0 LOAD_FAST                0 (x)
2022-11-23T01:32:37.6216991Z               2 LOAD_METHOD              0 (add_)
2022-11-23T01:32:37.6217081Z               4 LOAD_FAST                1 (y)
2022-11-23T01:32:37.6217183Z               6 CALL_METHOD              1
2022-11-23T01:32:37.6217258Z               8 RETURN_VALUE
2022-11-23T01:32:37.6217320Z  
2022-11-23T01:32:37.6217325Z 
2022-11-23T01:32:37.6217532Z [2022-11-23 01:22:40,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6217770Z [2022-11-23 01:22:40,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()]
2022-11-23T01:32:37.6218040Z [2022-11-23 01:22:40,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)]
2022-11-23T01:32:37.6218347Z [2022-11-23 01:22:40,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()]
2022-11-23T01:32:37.6218593Z [2022-11-23 01:22:40,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6218920Z [2022-11-23 01:22:40,775] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f64d7ed0, file "inductor/test_torchinductor.py", line 109>
2022-11-23T01:32:37.6219157Z [2022-11-23 01:22:40,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6219421Z [2022-11-23 01:22:40,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.6219628Z [2022-11-23 01:22:40,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6219870Z [2022-11-23 01:22:40,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6220207Z [2022-11-23 01:22:40,776] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.6220450Z [2022-11-23 01:22:40,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6220685Z [2022-11-23 01:22:40,776] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6220937Z [2022-11-23 01:22:40,778] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6221181Z [2022-11-23 01:22:40,790] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6221355Z [2022-11-23 01:22:40,790] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6221488Z  __compiled_fn_239 <eval_with_key>.1495 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6221578Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6221664Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.6221776Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.6221881Z call_method, add_, add_, (model_linear, ex_1_), {}
2022-11-23T01:32:37.6221975Z output, output, output, ((add_,),), {}
2022-11-23T01:32:37.6221979Z 
2022-11-23T01:32:37.6222255Z [2022-11-23 01:22:40,791] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6222334Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6222423Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6222513Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6222602Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6222677Z               8 RETURN_VALUE
2022-11-23T01:32:37.6222683Z 
2022-11-23T01:32:37.6222742Z  
2022-11-23T01:32:37.6223012Z [2022-11-23 01:22:40,791] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6223137Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_239)
2022-11-23T01:32:37.6223225Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6223314Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6223388Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6223475Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6223621Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.6223695Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.6223770Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.6223859Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6223932Z              18 RETURN_VALUE
2022-11-23T01:32:37.6223938Z 
2022-11-23T01:32:37.6223997Z  
2022-11-23T01:32:37.6224177Z [2022-11-23 01:22:40,793] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6224248Z  - 
2022-11-23T01:32:37.6224368Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6224419Z             {
2022-11-23T01:32:37.6224648Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6224833Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.6224952Z                 'obj_weakref': None
2022-11-23T01:32:37.6225175Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6225240Z             }
2022-11-23T01:32:37.6225371Z             
2022-11-23T01:32:37.6225439Z  - 
2022-11-23T01:32:37.6225549Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6225612Z             {
2022-11-23T01:32:37.6225754Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6225878Z                 'code': None,
2022-11-23T01:32:37.6226087Z                 'obj_weakref': <weakref at 0x7f70f2e06e30; to 'Tensor' at 0x7f7106df0230>
2022-11-23T01:32:37.6226336Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6226402Z             }
2022-11-23T01:32:37.6226452Z             
2022-11-23T01:32:37.6226520Z  - 
2022-11-23T01:32:37.6226642Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.6226706Z             {
2022-11-23T01:32:37.6226848Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6226954Z                 'code': None,
2022-11-23T01:32:37.6227162Z                 'obj_weakref': <weakref at 0x7f70f2e06890; to 'Tensor' at 0x7f7106df0110>
2022-11-23T01:32:37.6227398Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6227461Z             }
2022-11-23T01:32:37.6227523Z             
2022-11-23T01:32:37.6227591Z  - 
2022-11-23T01:32:37.6227710Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6227772Z             {
2022-11-23T01:32:37.6227892Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6228063Z                 'code': ['___check_obj_id(model, 140123420883600)'],
2022-11-23T01:32:37.6228261Z                 'obj_weakref': <weakref at 0x7f71069bf410; to 'M' at 0x7f7106b9fa90>
2022-11-23T01:32:37.6228472Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.6228534Z             }
2022-11-23T01:32:37.6228596Z             
2022-11-23T01:32:37.6228663Z  - 
2022-11-23T01:32:37.6228783Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6228834Z             {
2022-11-23T01:32:37.6228969Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6229185Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6229300Z                 'obj_weakref': None
2022-11-23T01:32:37.6229516Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6229579Z             }
2022-11-23T01:32:37.6229641Z             
2022-11-23T01:32:37.6229733Z  - 
2022-11-23T01:32:37.6229888Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.6229952Z             {
2022-11-23T01:32:37.6230070Z                 'guard_types': None,
2022-11-23T01:32:37.6230174Z                 'code': None,
2022-11-23T01:32:37.6230289Z                 'obj_weakref': None
2022-11-23T01:32:37.6230410Z                 'guarded_class': None
2022-11-23T01:32:37.6230460Z             }
2022-11-23T01:32:37.6230521Z             
2022-11-23T01:32:37.6230622Z  - 
2022-11-23T01:32:37.6230789Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.6230851Z             {
2022-11-23T01:32:37.6230968Z                 'guard_types': None,
2022-11-23T01:32:37.6231059Z                 'code': None,
2022-11-23T01:32:37.6231173Z                 'obj_weakref': None
2022-11-23T01:32:37.6231292Z                 'guarded_class': None
2022-11-23T01:32:37.6231356Z             }
2022-11-23T01:32:37.6231419Z             
2022-11-23T01:32:37.6231682Z [2022-11-23 01:22:40,813] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 232
2022-11-23T01:32:37.6232061Z [2022-11-23 01:22:40,830] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ao/cao67chwqbed6qrsxysrffpcsqvtuzapljnpk4tuofrtytdfjy6v.py
2022-11-23T01:32:37.6232325Z [2022-11-23 01:22:40,830] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 232
2022-11-23T01:32:37.6232549Z [2022-11-23 01:22:40,839] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6232815Z [2022-11-23 01:22:40,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6233029Z [2022-11-23 01:22:40,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6233267Z [2022-11-23 01:22:40,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6233539Z [2022-11-23 01:22:40,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6233855Z [2022-11-23 01:22:40,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6234184Z [2022-11-23 01:22:40,840] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.6234278Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6234373Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.6234450Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6234538Z                6 CALL_METHOD              1
2022-11-23T01:32:37.6234627Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.6234632Z 
2022-11-23T01:32:37.6234722Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6234818Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.6234905Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6234993Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.6235068Z               18 CALL_METHOD              2
2022-11-23T01:32:37.6235153Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.6235157Z 
2022-11-23T01:32:37.6235241Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6235319Z               24 RETURN_VALUE
2022-11-23T01:32:37.6235379Z  
2022-11-23T01:32:37.6235385Z 
2022-11-23T01:32:37.6235650Z [2022-11-23 01:22:40,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.6235862Z [2022-11-23 01:22:40,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6236110Z [2022-11-23 01:22:40,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.6236352Z [2022-11-23 01:22:40,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.6236646Z [2022-11-23 01:22:40,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.6236881Z [2022-11-23 01:22:40,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6237324Z [2022-11-23 01:22:40,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.6237540Z [2022-11-23 01:22:40,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6237788Z [2022-11-23 01:22:40,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.6238035Z [2022-11-23 01:22:40,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.6238311Z [2022-11-23 01:22:40,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.6238624Z [2022-11-23 01:22:40,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6238957Z [2022-11-23 01:22:40,866] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f64d7ed0, file "inductor/test_torchinductor.py", line 109> 
2022-11-23T01:32:37.6239038Z  109           0 LOAD_FAST                0 (x)
2022-11-23T01:32:37.6239134Z               2 LOAD_METHOD              0 (add_)
2022-11-23T01:32:37.6239224Z               4 LOAD_FAST                1 (y)
2022-11-23T01:32:37.6239312Z               6 CALL_METHOD              1
2022-11-23T01:32:37.6239390Z               8 RETURN_VALUE
2022-11-23T01:32:37.6239452Z  
2022-11-23T01:32:37.6239459Z 
2022-11-23T01:32:37.6239668Z [2022-11-23 01:22:40,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6239906Z [2022-11-23 01:22:40,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()]
2022-11-23T01:32:37.6240167Z [2022-11-23 01:22:40,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)]
2022-11-23T01:32:37.6240472Z [2022-11-23 01:22:40,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()]
2022-11-23T01:32:37.6240718Z [2022-11-23 01:22:40,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6241053Z [2022-11-23 01:22:40,869] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f64d7ed0, file "inductor/test_torchinductor.py", line 109>
2022-11-23T01:32:37.6241290Z [2022-11-23 01:22:40,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6241553Z [2022-11-23 01:22:40,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.6241762Z [2022-11-23 01:22:40,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6242004Z [2022-11-23 01:22:40,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6242338Z [2022-11-23 01:22:40,869] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.6242584Z [2022-11-23 01:22:40,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6242805Z [2022-11-23 01:22:40,869] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6243054Z [2022-11-23 01:22:40,871] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6243302Z [2022-11-23 01:22:40,895] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6243529Z [2022-11-23 01:22:40,896] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6243662Z  __compiled_fn_240 <eval_with_key>.1501 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6243750Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6243837Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.6243950Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.6244043Z call_method, add_, add_, (model_linear, ex_1_), {}
2022-11-23T01:32:37.6244182Z output, output, output, ((add_,),), {}
2022-11-23T01:32:37.6244188Z 
2022-11-23T01:32:37.6244465Z [2022-11-23 01:22:40,897] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6244557Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6244646Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6244738Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6244828Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6244907Z               8 RETURN_VALUE
2022-11-23T01:32:37.6244912Z 
2022-11-23T01:32:37.6244959Z  
2022-11-23T01:32:37.6245229Z [2022-11-23 01:22:40,897] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6245339Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_240)
2022-11-23T01:32:37.6245427Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6245518Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6245593Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6245681Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6245756Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.6245829Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.6245914Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.6246003Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6246077Z              18 RETURN_VALUE
2022-11-23T01:32:37.6246084Z 
2022-11-23T01:32:37.6246144Z  
2022-11-23T01:32:37.6246323Z [2022-11-23 01:22:40,899] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6246379Z  - 
2022-11-23T01:32:37.6246496Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6246558Z             {
2022-11-23T01:32:37.6246697Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6246882Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.6247002Z                 'obj_weakref': None
2022-11-23T01:32:37.6247225Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6247289Z             }
2022-11-23T01:32:37.6247339Z             
2022-11-23T01:32:37.6247406Z  - 
2022-11-23T01:32:37.6247528Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6247591Z             {
2022-11-23T01:32:37.6247733Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6247839Z                 'code': None,
2022-11-23T01:32:37.6248036Z                 'obj_weakref': <weakref at 0x7f7106bd1b30; to 'Tensor' at 0x7f71932440b0>
2022-11-23T01:32:37.6248283Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6248345Z             }
2022-11-23T01:32:37.6248408Z             
2022-11-23T01:32:37.6248473Z  - 
2022-11-23T01:32:37.6248595Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.6248656Z             {
2022-11-23T01:32:37.6248787Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6248891Z                 'code': None,
2022-11-23T01:32:37.6249096Z                 'obj_weakref': <weakref at 0x7f7106e092f0; to 'Tensor' at 0x7f70f2e067d0>
2022-11-23T01:32:37.6249340Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6249405Z             }
2022-11-23T01:32:37.6249469Z             
2022-11-23T01:32:37.6249537Z  - 
2022-11-23T01:32:37.6249674Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6249736Z             {
2022-11-23T01:32:37.6249868Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6250035Z                 'code': ['___check_obj_id(model, 140123424049360)'],
2022-11-23T01:32:37.6250232Z                 'obj_weakref': <weakref at 0x7f71070c8ef0; to 'M' at 0x7f7106ea48d0>
2022-11-23T01:32:37.6250471Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.6250534Z             }
2022-11-23T01:32:37.6250599Z             
2022-11-23T01:32:37.6250656Z  - 
2022-11-23T01:32:37.6250777Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6250839Z             {
2022-11-23T01:32:37.6250973Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6251189Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6251305Z                 'obj_weakref': None
2022-11-23T01:32:37.6251524Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6251574Z             }
2022-11-23T01:32:37.6251636Z             
2022-11-23T01:32:37.6251703Z  - 
2022-11-23T01:32:37.6251858Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.6251918Z             {
2022-11-23T01:32:37.6252035Z                 'guard_types': None,
2022-11-23T01:32:37.6252128Z                 'code': None,
2022-11-23T01:32:37.6252245Z                 'obj_weakref': None
2022-11-23T01:32:37.6252366Z                 'guarded_class': None
2022-11-23T01:32:37.6252429Z             }
2022-11-23T01:32:37.6252491Z             
2022-11-23T01:32:37.6252558Z  - 
2022-11-23T01:32:37.6252724Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.6252774Z             {
2022-11-23T01:32:37.6252891Z                 'guard_types': None,
2022-11-23T01:32:37.6252996Z                 'code': None,
2022-11-23T01:32:37.6253111Z                 'obj_weakref': None
2022-11-23T01:32:37.6253231Z                 'guarded_class': None
2022-11-23T01:32:37.6253294Z             }
2022-11-23T01:32:37.6253355Z             
2022-11-23T01:32:37.6253601Z [2022-11-23 01:22:40,928] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 233
2022-11-23T01:32:37.6253607Z 
2022-11-23T01:32:37.6253622Z 
2022-11-23T01:32:37.6253703Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6253769Z import torch
2022-11-23T01:32:37.6253839Z import random
2022-11-23T01:32:37.6253952Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6254072Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6254076Z 
2022-11-23T01:32:37.6254153Z aten = torch.ops.aten
2022-11-23T01:32:37.6254286Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6254366Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6254370Z 
2022-11-23T01:32:37.6254388Z 
2022-11-23T01:32:37.6254509Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6254714Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6254833Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.6254944Z                        const bfloat16* __restrict__ in_ptr0)
2022-11-23T01:32:37.6255005Z {
2022-11-23T01:32:37.6255102Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6255163Z     {
2022-11-23T01:32:37.6255229Z         #pragma omp for 
2022-11-23T01:32:37.6255310Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.6255371Z         {
2022-11-23T01:32:37.6255433Z             {
2022-11-23T01:32:37.6255497Z                 {
2022-11-23T01:32:37.6255615Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6255715Z                     auto tmp1 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.6255804Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.6255893Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6255988Z                 }
2022-11-23T01:32:37.6256052Z             }
2022-11-23T01:32:37.6256113Z         }
2022-11-23T01:32:37.6256174Z     }
2022-11-23T01:32:37.6256220Z }
2022-11-23T01:32:37.6256297Z ''')
2022-11-23T01:32:37.6256302Z 
2022-11-23T01:32:37.6256306Z 
2022-11-23T01:32:37.6256395Z async_compile.wait(globals())
2022-11-23T01:32:37.6256466Z del async_compile
2022-11-23T01:32:37.6256471Z 
2022-11-23T01:32:37.6256540Z def call(args):
2022-11-23T01:32:37.6256656Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:32:37.6256726Z     args.clear()
2022-11-23T01:32:37.6256925Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6257062Z     aten.addmm.out(arg1_1, arg2_1, as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.6257129Z     del arg0_1
2022-11-23T01:32:37.6257194Z     del arg1_1
2022-11-23T01:32:37.6257258Z     del arg2_1
2022-11-23T01:32:37.6257342Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.6257474Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.6257538Z     del arg3_1
2022-11-23T01:32:37.6257596Z     return (buf1, )
2022-11-23T01:32:37.6257601Z 
2022-11-23T01:32:37.6257606Z 
2022-11-23T01:32:37.6257679Z if __name__ == "__main__":
2022-11-23T01:32:37.6257791Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6257913Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6258114Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6258308Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6258505Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6258697Z     arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6258811Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:32:37.6258818Z 
2022-11-23T01:32:37.6258822Z 
2022-11-23T01:32:37.6258914Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6258982Z import torch
2022-11-23T01:32:37.6259050Z import random
2022-11-23T01:32:37.6259164Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6259284Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6259289Z 
2022-11-23T01:32:37.6259365Z aten = torch.ops.aten
2022-11-23T01:32:37.6259497Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6259574Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6259578Z 
2022-11-23T01:32:37.6259583Z 
2022-11-23T01:32:37.6259713Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6259915Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6260033Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.6260140Z                        const bfloat16* __restrict__ in_ptr0)
2022-11-23T01:32:37.6260202Z {
2022-11-23T01:32:37.6260297Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6260345Z     {
2022-11-23T01:32:37.6260420Z         #pragma omp for 
2022-11-23T01:32:37.6260502Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.6260563Z         {
2022-11-23T01:32:37.6260626Z             {
2022-11-23T01:32:37.6260690Z                 {
2022-11-23T01:32:37.6260808Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6260909Z                     auto tmp1 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.6261000Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.6261089Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6261151Z                 }
2022-11-23T01:32:37.6261213Z             }
2022-11-23T01:32:37.6261274Z         }
2022-11-23T01:32:37.6261333Z     }
2022-11-23T01:32:37.6261379Z }
2022-11-23T01:32:37.6261455Z ''')
2022-11-23T01:32:37.6261460Z 
2022-11-23T01:32:37.6261499Z 
2022-11-23T01:32:37.6261591Z async_compile.wait(globals())
2022-11-23T01:32:37.6261661Z del async_compile
2022-11-23T01:32:37.6261665Z 
2022-11-23T01:32:37.6261733Z def call(args):
2022-11-23T01:32:37.6261815Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.6261885Z     args.clear()
2022-11-23T01:32:37.6262071Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6262219Z     aten.mm.out(arg1_1, as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.6262286Z     del arg0_1
2022-11-23T01:32:37.6262350Z     del arg1_1
2022-11-23T01:32:37.6262434Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.6262562Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.6262627Z     del arg2_1
2022-11-23T01:32:37.6262684Z     return (buf1, )
2022-11-23T01:32:37.6262689Z 
2022-11-23T01:32:37.6262705Z 
2022-11-23T01:32:37.6262767Z if __name__ == "__main__":
2022-11-23T01:32:37.6262878Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6263003Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6263206Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6263405Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6263601Z     arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6263722Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.6263727Z 
2022-11-23T01:32:37.6263731Z 
2022-11-23T01:32:37.6263823Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6263880Z import torch
2022-11-23T01:32:37.6263948Z import random
2022-11-23T01:32:37.6264060Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6264177Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6264182Z 
2022-11-23T01:32:37.6264259Z aten = torch.ops.aten
2022-11-23T01:32:37.6264389Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6264586Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6264593Z 
2022-11-23T01:32:37.6264598Z 
2022-11-23T01:32:37.6264734Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6264925Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6265047Z extern "C" void kernel(const bfloat16* __restrict__ in_ptr0,
2022-11-23T01:32:37.6265159Z                        const bfloat16* __restrict__ in_ptr1,
2022-11-23T01:32:37.6265260Z                        bfloat16* __restrict__ out_ptr0)
2022-11-23T01:32:37.6265326Z {
2022-11-23T01:32:37.6265423Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6265484Z     {
2022-11-23T01:32:37.6265547Z         #pragma omp for 
2022-11-23T01:32:37.6265631Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.6265694Z         {
2022-11-23T01:32:37.6265758Z             {
2022-11-23T01:32:37.6265823Z                 {
2022-11-23T01:32:37.6265939Z                     auto tmp0 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.6266052Z                     auto tmp1 = static_cast<float>(in_ptr1[i0]);
2022-11-23T01:32:37.6266131Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.6266216Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6266280Z                 }
2022-11-23T01:32:37.6266343Z             }
2022-11-23T01:32:37.6266408Z         }
2022-11-23T01:32:37.6266469Z     }
2022-11-23T01:32:37.6266518Z }
2022-11-23T01:32:37.6266595Z ''')
2022-11-23T01:32:37.6266600Z 
2022-11-23T01:32:37.6266604Z 
2022-11-23T01:32:37.6266692Z async_compile.wait(globals())
2022-11-23T01:32:37.6266763Z del async_compile
2022-11-23T01:32:37.6266768Z 
2022-11-23T01:32:37.6266836Z def call(args):
2022-11-23T01:32:37.6266925Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:32:37.6266995Z     args.clear()
2022-11-23T01:32:37.6267192Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6267392Z     aten.addmm.out(arg1_1, as_strided(arg2_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.6267459Z     del arg0_1
2022-11-23T01:32:37.6267523Z     del arg1_1
2022-11-23T01:32:37.6267587Z     del arg2_1
2022-11-23T01:32:37.6267748Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.6267813Z     del arg3_1
2022-11-23T01:32:37.6267948Z     return (as_strided(buf0, (2, 3, 30), (90, 30, 1)), )
2022-11-23T01:32:37.6267953Z 
2022-11-23T01:32:37.6267957Z 
2022-11-23T01:32:37.6268032Z if __name__ == "__main__":
2022-11-23T01:32:37.6268135Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6268255Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6268457Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6268650Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6268855Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6269060Z     arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6269187Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:32:37.6269193Z 
2022-11-23T01:32:37.6269197Z 
2022-11-23T01:32:37.6269291Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6269349Z import torch
2022-11-23T01:32:37.6269418Z import random
2022-11-23T01:32:37.6269533Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6269653Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6269658Z 
2022-11-23T01:32:37.6269736Z aten = torch.ops.aten
2022-11-23T01:32:37.6269866Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6269958Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6269963Z 
2022-11-23T01:32:37.6269967Z 
2022-11-23T01:32:37.6270100Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6270291Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6270411Z extern "C" void kernel(const bfloat16* __restrict__ in_ptr0,
2022-11-23T01:32:37.6270516Z                        const bfloat16* __restrict__ in_ptr1,
2022-11-23T01:32:37.6270618Z                        bfloat16* __restrict__ out_ptr0)
2022-11-23T01:32:37.6270679Z {
2022-11-23T01:32:37.6270776Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6270836Z     {
2022-11-23T01:32:37.6270900Z         #pragma omp for 
2022-11-23T01:32:37.6270981Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.6271044Z         {
2022-11-23T01:32:37.6271107Z             {
2022-11-23T01:32:37.6271172Z                 {
2022-11-23T01:32:37.6271285Z                     auto tmp0 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.6271397Z                     auto tmp1 = static_cast<float>(in_ptr1[i0]);
2022-11-23T01:32:37.6271477Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.6271561Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6271625Z                 }
2022-11-23T01:32:37.6271688Z             }
2022-11-23T01:32:37.6271750Z         }
2022-11-23T01:32:37.6271810Z     }
2022-11-23T01:32:37.6271857Z }
2022-11-23T01:32:37.6271933Z ''')
2022-11-23T01:32:37.6271938Z 
2022-11-23T01:32:37.6271942Z 
2022-11-23T01:32:37.6272030Z async_compile.wait(globals())
2022-11-23T01:32:37.6272102Z del async_compile
2022-11-23T01:32:37.6272107Z 
2022-11-23T01:32:37.6272176Z def call(args):
2022-11-23T01:32:37.6272255Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.6272324Z     args.clear()
2022-11-23T01:32:37.6272520Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6272650Z     aten.mm.out(as_strided(arg1_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.6272716Z     del arg0_1
2022-11-23T01:32:37.6272812Z     del arg1_1
2022-11-23T01:32:37.6272970Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.6273036Z     del arg2_1
2022-11-23T01:32:37.6273139Z     return (as_strided(buf0, (2, 3, 30), (90, 30, 1)), )
2022-11-23T01:32:37.6273144Z 
2022-11-23T01:32:37.6273148Z 
2022-11-23T01:32:37.6273223Z if __name__ == "__main__":
2022-11-23T01:32:37.6273334Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6273471Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6273674Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6273878Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6274082Z     arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6274203Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.6274211Z 
2022-11-23T01:32:37.6274215Z 
2022-11-23T01:32:37.6274307Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6274375Z import torch
2022-11-23T01:32:37.6274443Z import random
2022-11-23T01:32:37.6274544Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6274661Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6274666Z 
2022-11-23T01:32:37.6274742Z aten = torch.ops.aten
2022-11-23T01:32:37.6274874Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6274963Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6274968Z 
2022-11-23T01:32:37.6274972Z 
2022-11-23T01:32:37.6275102Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6275303Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6275423Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.6275518Z                        const bfloat16* __restrict__ in_ptr0)
2022-11-23T01:32:37.6275581Z {
2022-11-23T01:32:37.6275676Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6275737Z     {
2022-11-23T01:32:37.6275817Z         #pragma omp for 
2022-11-23T01:32:37.6275898Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.6275960Z         {
2022-11-23T01:32:37.6276010Z             {
2022-11-23T01:32:37.6276073Z                 {
2022-11-23T01:32:37.6276190Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6276305Z                     auto tmp1 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.6276396Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.6276485Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6276537Z                 }
2022-11-23T01:32:37.6276598Z             }
2022-11-23T01:32:37.6276659Z         }
2022-11-23T01:32:37.6276720Z     }
2022-11-23T01:32:37.6276779Z }
2022-11-23T01:32:37.6276858Z ''')
2022-11-23T01:32:37.6276862Z 
2022-11-23T01:32:37.6276866Z 
2022-11-23T01:32:37.6276955Z async_compile.wait(globals())
2022-11-23T01:32:37.6277014Z del async_compile
2022-11-23T01:32:37.6277030Z 
2022-11-23T01:32:37.6277087Z def call(args):
2022-11-23T01:32:37.6277314Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:32:37.6277386Z     args.clear()
2022-11-23T01:32:37.6277587Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6277738Z     aten.addmm.out(arg1_1, arg2_1, as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.6277809Z     del arg0_1
2022-11-23T01:32:37.6277876Z     del arg1_1
2022-11-23T01:32:37.6277928Z     del arg2_1
2022-11-23T01:32:37.6278012Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.6278145Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.6278212Z     del arg3_1
2022-11-23T01:32:37.6278283Z     return (buf1, )
2022-11-23T01:32:37.6278291Z 
2022-11-23T01:32:37.6278295Z 
2022-11-23T01:32:37.6278371Z if __name__ == "__main__":
2022-11-23T01:32:37.6278541Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6278650Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6278852Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6279044Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6279240Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6279472Z     arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6279600Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:32:37.6279970Z [2022-11-23 01:22:40,941] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vb/cvbi7hl6mtjtqvlm3svuk6n6op2zl2kpgafkuur5zzyqmmxzbdhp.py
2022-11-23T01:32:37.6280237Z [2022-11-23 01:22:40,941] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 233
2022-11-23T01:32:37.6280476Z [2022-11-23 01:22:40,949] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6280729Z [2022-11-23 01:22:40,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6280945Z [2022-11-23 01:22:40,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6281187Z [2022-11-23 01:22:40,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6281461Z [2022-11-23 01:22:40,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6281776Z [2022-11-23 01:22:40,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6282106Z [2022-11-23 01:22:40,951] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.6282201Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6282295Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.6282382Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6282459Z                6 CALL_METHOD              1
2022-11-23T01:32:37.6282548Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.6282553Z 
2022-11-23T01:32:37.6282648Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6282743Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.6282830Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6282915Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.6283003Z               18 CALL_METHOD              2
2022-11-23T01:32:37.6283079Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.6283096Z 
2022-11-23T01:32:37.6283169Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6283245Z               24 RETURN_VALUE
2022-11-23T01:32:37.6283304Z  
2022-11-23T01:32:37.6283309Z 
2022-11-23T01:32:37.6283578Z [2022-11-23 01:22:40,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.6283787Z [2022-11-23 01:22:40,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6284036Z [2022-11-23 01:22:40,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.6284276Z [2022-11-23 01:22:40,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.6284549Z [2022-11-23 01:22:40,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.6284773Z [2022-11-23 01:22:40,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6285039Z [2022-11-23 01:22:40,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.6285282Z [2022-11-23 01:22:40,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6285530Z [2022-11-23 01:22:40,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.6285778Z [2022-11-23 01:22:40,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.6286107Z [2022-11-23 01:22:40,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.6286422Z [2022-11-23 01:22:40,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6286751Z [2022-11-23 01:22:40,960] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f64d7ed0, file "inductor/test_torchinductor.py", line 109> 
2022-11-23T01:32:37.6286845Z  109           0 LOAD_FAST                0 (x)
2022-11-23T01:32:37.6286926Z               2 LOAD_METHOD              0 (add_)
2022-11-23T01:32:37.6287015Z               4 LOAD_FAST                1 (y)
2022-11-23T01:32:37.6287101Z               6 CALL_METHOD              1
2022-11-23T01:32:37.6287177Z               8 RETURN_VALUE
2022-11-23T01:32:37.6287240Z  
2022-11-23T01:32:37.6287244Z 
2022-11-23T01:32:37.6287451Z [2022-11-23 01:22:40,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6287701Z [2022-11-23 01:22:40,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()]
2022-11-23T01:32:37.6288098Z [2022-11-23 01:22:40,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)]
2022-11-23T01:32:37.6288584Z [2022-11-23 01:22:40,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()]
2022-11-23T01:32:37.6289046Z [2022-11-23 01:22:40,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6289457Z [2022-11-23 01:22:40,962] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f64d7ed0, file "inductor/test_torchinductor.py", line 109>
2022-11-23T01:32:37.6289699Z [2022-11-23 01:22:40,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6289968Z [2022-11-23 01:22:40,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.6290180Z [2022-11-23 01:22:40,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6290427Z [2022-11-23 01:22:40,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6290764Z [2022-11-23 01:22:40,962] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.6291011Z [2022-11-23 01:22:40,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6291243Z [2022-11-23 01:22:40,962] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6291482Z [2022-11-23 01:22:40,964] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6291733Z [2022-11-23 01:22:40,973] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6291918Z [2022-11-23 01:22:40,974] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6292052Z  __compiled_fn_241 <eval_with_key>.1507 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6292140Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6292226Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.6292341Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.6292449Z call_method, add_, add_, (model_linear, ex_1_), {}
2022-11-23T01:32:37.6292578Z output, output, output, ((add_,),), {}
2022-11-23T01:32:37.6292583Z 
2022-11-23T01:32:37.6292858Z [2022-11-23 01:22:40,974] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6292950Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6293039Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6293161Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6293252Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6293326Z               8 RETURN_VALUE
2022-11-23T01:32:37.6293332Z 
2022-11-23T01:32:37.6293392Z  
2022-11-23T01:32:37.6293652Z [2022-11-23 01:22:40,975] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6293758Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_241)
2022-11-23T01:32:37.6293846Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6293937Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6294014Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6294102Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6294190Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.6294251Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.6294340Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.6294431Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6294507Z              18 RETURN_VALUE
2022-11-23T01:32:37.6294513Z 
2022-11-23T01:32:37.6294572Z  
2022-11-23T01:32:37.6294751Z [2022-11-23 01:22:40,977] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6294820Z  - 
2022-11-23T01:32:37.6294924Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6294986Z             {
2022-11-23T01:32:37.6295124Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6295309Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.6295428Z                 'obj_weakref': None
2022-11-23T01:32:37.6295651Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6295714Z             }
2022-11-23T01:32:37.6295765Z             
2022-11-23T01:32:37.6295833Z  - 
2022-11-23T01:32:37.6295955Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6296018Z             {
2022-11-23T01:32:37.6296160Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6296264Z                 'code': None,
2022-11-23T01:32:37.6296469Z                 'obj_weakref': <weakref at 0x7f7106717230; to 'Tensor' at 0x7f70f2e06230>
2022-11-23T01:32:37.6296705Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6296768Z             }
2022-11-23T01:32:37.6296830Z             
2022-11-23T01:32:37.6296896Z  - 
2022-11-23T01:32:37.6297018Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.6297081Z             {
2022-11-23T01:32:37.6297222Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6297315Z                 'code': None,
2022-11-23T01:32:37.6297517Z                 'obj_weakref': <weakref at 0x7f71067a4050; to 'Tensor' at 0x7f71062aca10>
2022-11-23T01:32:37.6297763Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6297824Z             }
2022-11-23T01:32:37.6297889Z             
2022-11-23T01:32:37.6297955Z  - 
2022-11-23T01:32:37.6298073Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6298124Z             {
2022-11-23T01:32:37.6298258Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6298426Z                 'code': ['___check_obj_id(model, 140123423639376)'],
2022-11-23T01:32:37.6298622Z                 'obj_weakref': <weakref at 0x7f7106253110; to 'M' at 0x7f7106e40750>
2022-11-23T01:32:37.6298832Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.6298926Z             }
2022-11-23T01:32:37.6298988Z             
2022-11-23T01:32:37.6299043Z  - 
2022-11-23T01:32:37.6299160Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6299221Z             {
2022-11-23T01:32:37.6299354Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6299573Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6299716Z                 'obj_weakref': None
2022-11-23T01:32:37.6299937Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6299998Z             }
2022-11-23T01:32:37.6300047Z             
2022-11-23T01:32:37.6300115Z  - 
2022-11-23T01:32:37.6300268Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.6300331Z             {
2022-11-23T01:32:37.6300450Z                 'guard_types': None,
2022-11-23T01:32:37.6300557Z                 'code': None,
2022-11-23T01:32:37.6300661Z                 'obj_weakref': None
2022-11-23T01:32:37.6300780Z                 'guarded_class': None
2022-11-23T01:32:37.6300842Z             }
2022-11-23T01:32:37.6300902Z             
2022-11-23T01:32:37.6300968Z  - 
2022-11-23T01:32:37.6301133Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.6301195Z             {
2022-11-23T01:32:37.6301300Z                 'guard_types': None,
2022-11-23T01:32:37.6301405Z                 'code': None,
2022-11-23T01:32:37.6301520Z                 'obj_weakref': None
2022-11-23T01:32:37.6301638Z                 'guarded_class': None
2022-11-23T01:32:37.6301699Z             }
2022-11-23T01:32:37.6301761Z             
2022-11-23T01:32:37.6302020Z [2022-11-23 01:22:40,991] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 234
2022-11-23T01:32:37.6302376Z [2022-11-23 01:22:41,004] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mz/cmzhpkbpa7m4xzfp2rsj4o43ogg6yfrldzqjz7tuypgjy53l7ffo.py
2022-11-23T01:32:37.6302641Z [2022-11-23 01:22:41,004] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 234
2022-11-23T01:32:37.6302875Z [2022-11-23 01:22:41,013] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6303140Z [2022-11-23 01:22:41,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6303358Z [2022-11-23 01:22:41,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6303600Z [2022-11-23 01:22:41,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6303874Z [2022-11-23 01:22:41,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6304185Z [2022-11-23 01:22:41,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6304589Z [2022-11-23 01:22:41,014] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.6304687Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6304770Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.6304860Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6304952Z                6 CALL_METHOD              1
2022-11-23T01:32:37.6305044Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.6305050Z 
2022-11-23T01:32:37.6305142Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6305239Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.6305329Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6305405Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.6305494Z               18 CALL_METHOD              2
2022-11-23T01:32:37.6305617Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.6305621Z 
2022-11-23T01:32:37.6305704Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6305778Z               24 RETURN_VALUE
2022-11-23T01:32:37.6305838Z  
2022-11-23T01:32:37.6305843Z 
2022-11-23T01:32:37.6306113Z [2022-11-23 01:22:41,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.6306360Z [2022-11-23 01:22:41,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6306597Z [2022-11-23 01:22:41,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.6306836Z [2022-11-23 01:22:41,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.6307111Z [2022-11-23 01:22:41,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.6307348Z [2022-11-23 01:22:41,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6307612Z [2022-11-23 01:22:41,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.6307821Z [2022-11-23 01:22:41,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6308071Z [2022-11-23 01:22:41,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.6308319Z [2022-11-23 01:22:41,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.6308650Z [2022-11-23 01:22:41,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.6309030Z [2022-11-23 01:22:41,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6309351Z [2022-11-23 01:22:41,041] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f64e1540, file "inductor/test_torchinductor.py", line 110> 
2022-11-23T01:32:37.6309445Z  110           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.6309538Z               2 LOAD_METHOD              1 (sub)
2022-11-23T01:32:37.6309626Z               4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.6309715Z               6 LOAD_FAST                1 (y)
2022-11-23T01:32:37.6309803Z               8 CALL_METHOD              2
2022-11-23T01:32:37.6309877Z              10 RETURN_VALUE
2022-11-23T01:32:37.6309925Z  
2022-11-23T01:32:37.6309941Z 
2022-11-23T01:32:37.6310146Z [2022-11-23 01:22:41,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.6310510Z [2022-11-23 01:22:41,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.6310828Z [2022-11-23 01:22:41,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method sub of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.6311165Z [2022-11-23 01:22:41,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method sub of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.6311544Z [2022-11-23 01:22:41,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method sub of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6311788Z [2022-11-23 01:22:41,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6312120Z [2022-11-23 01:22:41,046] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f64e1540, file "inductor/test_torchinductor.py", line 110>
2022-11-23T01:32:37.6312362Z [2022-11-23 01:22:41,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6312663Z [2022-11-23 01:22:41,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.6312870Z [2022-11-23 01:22:41,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6313101Z [2022-11-23 01:22:41,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6313469Z [2022-11-23 01:22:41,046] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.6313716Z [2022-11-23 01:22:41,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6313950Z [2022-11-23 01:22:41,046] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6314203Z [2022-11-23 01:22:41,048] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6314451Z [2022-11-23 01:22:41,074] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6314636Z [2022-11-23 01:22:41,075] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6314768Z  __compiled_fn_242 <eval_with_key>.1513 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6314856Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6314931Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.6315045Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.6315284Z call_function, sub, <built-in method sub of type object at 0x7f71f2abebc0>, (model_linear, ex_1_), {}
2022-11-23T01:32:37.6315376Z output, output, output, ((sub,),), {}
2022-11-23T01:32:37.6315382Z 
2022-11-23T01:32:37.6315658Z [2022-11-23 01:22:41,076] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6315753Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6315843Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6315934Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6316012Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6316085Z               8 RETURN_VALUE
2022-11-23T01:32:37.6316090Z 
2022-11-23T01:32:37.6316151Z  
2022-11-23T01:32:37.6316424Z [2022-11-23 01:22:41,076] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6316530Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_242)
2022-11-23T01:32:37.6316620Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6316707Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6316771Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6316857Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6316943Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.6317019Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.6317230Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.6317324Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6317400Z              18 RETURN_VALUE
2022-11-23T01:32:37.6317405Z 
2022-11-23T01:32:37.6317451Z  
2022-11-23T01:32:37.6317633Z [2022-11-23 01:22:41,078] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6317703Z  - 
2022-11-23T01:32:37.6317822Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6317891Z             {
2022-11-23T01:32:37.6318032Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6318219Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.6318324Z                 'obj_weakref': None
2022-11-23T01:32:37.6318545Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6318609Z             }
2022-11-23T01:32:37.6318673Z             
2022-11-23T01:32:37.6318807Z  - 
2022-11-23T01:32:37.6318933Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6318998Z             {
2022-11-23T01:32:37.6319126Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6319231Z                 'code': None,
2022-11-23T01:32:37.6319439Z                 'obj_weakref': <weakref at 0x7f7106bd1a70; to 'Tensor' at 0x7f719394f3b0>
2022-11-23T01:32:37.6319722Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6319789Z             }
2022-11-23T01:32:37.6319854Z             
2022-11-23T01:32:37.6319924Z  - 
2022-11-23T01:32:37.6320035Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.6320100Z             {
2022-11-23T01:32:37.6320243Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6320349Z                 'code': None,
2022-11-23T01:32:37.6320549Z                 'obj_weakref': <weakref at 0x7f7106253950; to 'Tensor' at 0x7f7106717650>
2022-11-23T01:32:37.6320801Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6320865Z             }
2022-11-23T01:32:37.6320926Z             
2022-11-23T01:32:37.6320982Z  - 
2022-11-23T01:32:37.6321099Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6321163Z             {
2022-11-23T01:32:37.6321294Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6321465Z                 'code': ['___check_obj_id(model, 140123423575888)'],
2022-11-23T01:32:37.6321666Z                 'obj_weakref': <weakref at 0x7f70f2e18d10; to 'M' at 0x7f7106e30f50>
2022-11-23T01:32:37.6321876Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.6321926Z             }
2022-11-23T01:32:37.6321988Z             
2022-11-23T01:32:37.6322055Z  - 
2022-11-23T01:32:37.6322173Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6322239Z             {
2022-11-23T01:32:37.6322375Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6322593Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6322698Z                 'obj_weakref': None
2022-11-23T01:32:37.6322912Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6322974Z             }
2022-11-23T01:32:37.6323035Z             
2022-11-23T01:32:37.6323102Z  - 
2022-11-23T01:32:37.6323236Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.6323286Z             {
2022-11-23T01:32:37.6323404Z                 'guard_types': None,
2022-11-23T01:32:37.6323507Z                 'code': None,
2022-11-23T01:32:37.6323622Z                 'obj_weakref': None
2022-11-23T01:32:37.6323745Z                 'guarded_class': None
2022-11-23T01:32:37.6323807Z             }
2022-11-23T01:32:37.6323871Z             
2022-11-23T01:32:37.6323926Z  - 
2022-11-23T01:32:37.6324077Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.6324141Z             {
2022-11-23T01:32:37.6324258Z                 'guard_types': None,
2022-11-23T01:32:37.6324362Z                 'code': None,
2022-11-23T01:32:37.6324478Z                 'obj_weakref': None
2022-11-23T01:32:37.6324596Z                 'guarded_class': None
2022-11-23T01:32:37.6324645Z             }
2022-11-23T01:32:37.6324705Z             
2022-11-23T01:32:37.6324775Z  - 
2022-11-23T01:32:37.6324942Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.6325005Z             {
2022-11-23T01:32:37.6325120Z                 'guard_types': None,
2022-11-23T01:32:37.6325228Z                 'code': None,
2022-11-23T01:32:37.6325331Z                 'obj_weakref': None
2022-11-23T01:32:37.6325448Z                 'guarded_class': None
2022-11-23T01:32:37.6325509Z             }
2022-11-23T01:32:37.6325571Z             
2022-11-23T01:32:37.6325827Z [2022-11-23 01:22:41,113] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 235
2022-11-23T01:32:37.6326260Z [2022-11-23 01:22:43,673] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rk/crkclln2ujoyu4ub5rkesshg46fd6ctoa6qt76iexcagsafkyjvx.py
2022-11-23T01:32:37.6326524Z [2022-11-23 01:22:43,673] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 235
2022-11-23T01:32:37.6326747Z [2022-11-23 01:22:43,687] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6327043Z [2022-11-23 01:22:43,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6327262Z [2022-11-23 01:22:43,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6327502Z [2022-11-23 01:22:43,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6327778Z [2022-11-23 01:22:43,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6328095Z [2022-11-23 01:22:43,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6328428Z [2022-11-23 01:22:43,689] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.6328521Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6328621Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.6328698Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6328787Z                6 CALL_METHOD              1
2022-11-23T01:32:37.6328878Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.6328883Z 
2022-11-23T01:32:37.6328979Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6329077Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.6329166Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6329255Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.6329342Z               18 CALL_METHOD              2
2022-11-23T01:32:37.6329416Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.6329420Z 
2022-11-23T01:32:37.6329504Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6329578Z               24 RETURN_VALUE
2022-11-23T01:32:37.6329638Z  
2022-11-23T01:32:37.6329643Z 
2022-11-23T01:32:37.6329912Z [2022-11-23 01:22:43,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.6330124Z [2022-11-23 01:22:43,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6330372Z [2022-11-23 01:22:43,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.6330611Z [2022-11-23 01:22:43,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.6330876Z [2022-11-23 01:22:43,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.6331112Z [2022-11-23 01:22:43,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6331377Z [2022-11-23 01:22:43,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.6331593Z [2022-11-23 01:22:43,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6331840Z [2022-11-23 01:22:43,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.6332092Z [2022-11-23 01:22:43,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.6332366Z [2022-11-23 01:22:43,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.6332708Z [2022-11-23 01:22:43,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6333036Z [2022-11-23 01:22:43,703] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f64e1540, file "inductor/test_torchinductor.py", line 110> 
2022-11-23T01:32:37.6333130Z  110           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.6333252Z               2 LOAD_METHOD              1 (sub)
2022-11-23T01:32:37.6333343Z               4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.6333432Z               6 LOAD_FAST                1 (y)
2022-11-23T01:32:37.6333519Z               8 CALL_METHOD              2
2022-11-23T01:32:37.6333596Z              10 RETURN_VALUE
2022-11-23T01:32:37.6333660Z  
2022-11-23T01:32:37.6333664Z 
2022-11-23T01:32:37.6333882Z [2022-11-23 01:22:43,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.6334244Z [2022-11-23 01:22:43,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.6334551Z [2022-11-23 01:22:43,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method sub of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.6334893Z [2022-11-23 01:22:43,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method sub of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.6335268Z [2022-11-23 01:22:43,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method sub of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6335512Z [2022-11-23 01:22:43,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6335848Z [2022-11-23 01:22:43,707] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f64e1540, file "inductor/test_torchinductor.py", line 110>
2022-11-23T01:32:37.6336088Z [2022-11-23 01:22:43,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6336354Z [2022-11-23 01:22:43,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.6336560Z [2022-11-23 01:22:43,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6336805Z [2022-11-23 01:22:43,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6337138Z [2022-11-23 01:22:43,708] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.6337369Z [2022-11-23 01:22:43,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6337601Z [2022-11-23 01:22:43,708] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6337853Z [2022-11-23 01:22:43,710] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6338100Z [2022-11-23 01:22:43,723] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6338285Z [2022-11-23 01:22:43,724] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6338422Z  __compiled_fn_243 <eval_with_key>.1519 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6338511Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6338597Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.6338699Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.6338940Z call_function, sub, <built-in method sub of type object at 0x7f71f2abebc0>, (model_linear, ex_1_), {}
2022-11-23T01:32:37.6339033Z output, output, output, ((sub,),), {}
2022-11-23T01:32:37.6339038Z 
2022-11-23T01:32:37.6339346Z [2022-11-23 01:22:43,724] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6339440Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6339530Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6339621Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6339711Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6339775Z               8 RETURN_VALUE
2022-11-23T01:32:37.6339820Z 
2022-11-23T01:32:37.6339869Z  
2022-11-23T01:32:37.6340147Z [2022-11-23 01:22:43,724] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6340252Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_243)
2022-11-23T01:32:37.6340343Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6340429Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6340506Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6340596Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6340670Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.6340745Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.6340832Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.6340921Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6340996Z              18 RETURN_VALUE
2022-11-23T01:32:37.6341001Z 
2022-11-23T01:32:37.6341060Z  
2022-11-23T01:32:37.6341242Z [2022-11-23 01:22:43,727] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6341297Z  - 
2022-11-23T01:32:37.6341414Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6341477Z             {
2022-11-23T01:32:37.6341615Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6341798Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.6341917Z                 'obj_weakref': None
2022-11-23T01:32:37.6342139Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6342193Z             }
2022-11-23T01:32:37.6342255Z             
2022-11-23T01:32:37.6342323Z  - 
2022-11-23T01:32:37.6342445Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6342507Z             {
2022-11-23T01:32:37.6342647Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6342752Z                 'code': None,
2022-11-23T01:32:37.6342947Z                 'obj_weakref': <weakref at 0x7f71067641d0; to 'Tensor' at 0x7f7106a3d650>
2022-11-23T01:32:37.6343195Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6343257Z             }
2022-11-23T01:32:37.6343319Z             
2022-11-23T01:32:37.6343386Z  - 
2022-11-23T01:32:37.6343507Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.6343569Z             {
2022-11-23T01:32:37.6343699Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6343805Z                 'code': None,
2022-11-23T01:32:37.6344007Z                 'obj_weakref': <weakref at 0x7f70f2e42350; to 'Tensor' at 0x7f7106a3def0>
2022-11-23T01:32:37.6344251Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6344314Z             }
2022-11-23T01:32:37.6344376Z             
2022-11-23T01:32:37.6344531Z  - 
2022-11-23T01:32:37.6344643Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6344711Z             {
2022-11-23T01:32:37.6344846Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6345016Z                 'code': ['___check_obj_id(model, 140123423639376)'],
2022-11-23T01:32:37.6345218Z                 'obj_weakref': <weakref at 0x7f70f2e42b30; to 'M' at 0x7f7106e40750>
2022-11-23T01:32:37.6345431Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.6345494Z             }
2022-11-23T01:32:37.6345543Z             
2022-11-23T01:32:37.6345651Z  - 
2022-11-23T01:32:37.6345774Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6345838Z             {
2022-11-23T01:32:37.6345972Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6346187Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6346303Z                 'obj_weakref': None
2022-11-23T01:32:37.6346537Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6346601Z             }
2022-11-23T01:32:37.6346663Z             
2022-11-23T01:32:37.6346730Z  - 
2022-11-23T01:32:37.6346862Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.6346923Z             {
2022-11-23T01:32:37.6347041Z                 'guard_types': None,
2022-11-23T01:32:37.6347132Z                 'code': None,
2022-11-23T01:32:37.6347249Z                 'obj_weakref': None
2022-11-23T01:32:37.6347369Z                 'guarded_class': None
2022-11-23T01:32:37.6347435Z             }
2022-11-23T01:32:37.6347500Z             
2022-11-23T01:32:37.6347569Z  - 
2022-11-23T01:32:37.6347723Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.6347773Z             {
2022-11-23T01:32:37.6347890Z                 'guard_types': None,
2022-11-23T01:32:37.6347993Z                 'code': None,
2022-11-23T01:32:37.6348108Z                 'obj_weakref': None
2022-11-23T01:32:37.6348225Z                 'guarded_class': None
2022-11-23T01:32:37.6348288Z             }
2022-11-23T01:32:37.6348349Z             
2022-11-23T01:32:37.6348404Z  - 
2022-11-23T01:32:37.6348571Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.6348633Z             {
2022-11-23T01:32:37.6348750Z                 'guard_types': None,
2022-11-23T01:32:37.6348854Z                 'code': None,
2022-11-23T01:32:37.6348972Z                 'obj_weakref': None
2022-11-23T01:32:37.6349077Z                 'guarded_class': None
2022-11-23T01:32:37.6349139Z             }
2022-11-23T01:32:37.6349200Z             
2022-11-23T01:32:37.6349458Z [2022-11-23 01:22:43,748] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 236
2022-11-23T01:32:37.6349824Z [2022-11-23 01:22:43,767] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mw/cmwjlmzof22gz5hso6tg5ub277pstfabcr6pneopwm5otzrz5kfl.py
2022-11-23T01:32:37.6350091Z [2022-11-23 01:22:43,767] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 236
2022-11-23T01:32:37.6350325Z [2022-11-23 01:22:43,776] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6350591Z [2022-11-23 01:22:43,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6350804Z [2022-11-23 01:22:43,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6351032Z [2022-11-23 01:22:43,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6351310Z [2022-11-23 01:22:43,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6351622Z [2022-11-23 01:22:43,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6351954Z [2022-11-23 01:22:43,777] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.6352047Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6352144Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.6352231Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6352320Z                6 CALL_METHOD              1
2022-11-23T01:32:37.6352398Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.6352416Z 
2022-11-23T01:32:37.6352523Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6352621Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.6352708Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6352797Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.6352883Z               18 CALL_METHOD              2
2022-11-23T01:32:37.6352971Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.6352975Z 
2022-11-23T01:32:37.6353086Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6353150Z               24 RETURN_VALUE
2022-11-23T01:32:37.6353213Z  
2022-11-23T01:32:37.6353217Z 
2022-11-23T01:32:37.6353486Z [2022-11-23 01:22:43,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.6353699Z [2022-11-23 01:22:43,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6353946Z [2022-11-23 01:22:43,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.6354187Z [2022-11-23 01:22:43,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.6354462Z [2022-11-23 01:22:43,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.6354698Z [2022-11-23 01:22:43,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6354966Z [2022-11-23 01:22:43,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.6355167Z [2022-11-23 01:22:43,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6355415Z [2022-11-23 01:22:43,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.6355664Z [2022-11-23 01:22:43,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.6355940Z [2022-11-23 01:22:43,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.6356252Z [2022-11-23 01:22:43,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6356586Z [2022-11-23 01:22:43,803] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f64e1540, file "inductor/test_torchinductor.py", line 110> 
2022-11-23T01:32:37.6356680Z  110           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.6356772Z               2 LOAD_METHOD              1 (sub)
2022-11-23T01:32:37.6356864Z               4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.6356939Z               6 LOAD_FAST                1 (y)
2022-11-23T01:32:37.6357028Z               8 CALL_METHOD              2
2022-11-23T01:32:37.6357224Z              10 RETURN_VALUE
2022-11-23T01:32:37.6357292Z  
2022-11-23T01:32:37.6357302Z 
2022-11-23T01:32:37.6357540Z [2022-11-23 01:22:43,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.6357904Z [2022-11-23 01:22:43,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.6358223Z [2022-11-23 01:22:43,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method sub of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.6358564Z [2022-11-23 01:22:43,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method sub of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.6358944Z [2022-11-23 01:22:43,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method sub of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6359175Z [2022-11-23 01:22:43,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6359571Z [2022-11-23 01:22:43,808] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f64e1540, file "inductor/test_torchinductor.py", line 110>
2022-11-23T01:32:37.6359810Z [2022-11-23 01:22:43,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6360113Z [2022-11-23 01:22:43,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.6360325Z [2022-11-23 01:22:43,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6360570Z [2022-11-23 01:22:43,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6360904Z [2022-11-23 01:22:43,808] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.6361154Z [2022-11-23 01:22:43,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6361388Z [2022-11-23 01:22:43,808] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6361628Z [2022-11-23 01:22:43,810] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6361879Z [2022-11-23 01:22:43,836] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6362064Z [2022-11-23 01:22:43,836] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6362199Z  __compiled_fn_244 <eval_with_key>.1525 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6362293Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6362381Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.6362497Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.6362738Z call_function, sub, <built-in method sub of type object at 0x7f71f2abebc0>, (model_linear, ex_1_), {}
2022-11-23T01:32:37.6362822Z output, output, output, ((sub,),), {}
2022-11-23T01:32:37.6362842Z 
2022-11-23T01:32:37.6363105Z [2022-11-23 01:22:43,837] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6363198Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6363288Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6363380Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6363469Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6363545Z               8 RETURN_VALUE
2022-11-23T01:32:37.6363551Z 
2022-11-23T01:32:37.6363611Z  
2022-11-23T01:32:37.6363872Z [2022-11-23 01:22:43,837] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6363978Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_244)
2022-11-23T01:32:37.6364065Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6364155Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6364234Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6364320Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6364405Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.6364479Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.6364555Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.6364647Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6364724Z              18 RETURN_VALUE
2022-11-23T01:32:37.6364730Z 
2022-11-23T01:32:37.6364790Z  
2022-11-23T01:32:37.6364971Z [2022-11-23 01:22:43,839] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6365039Z  - 
2022-11-23T01:32:37.6365159Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6365211Z             {
2022-11-23T01:32:37.6365352Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6365536Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.6365690Z                 'obj_weakref': None
2022-11-23T01:32:37.6365913Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6365978Z             }
2022-11-23T01:32:37.6366041Z             
2022-11-23T01:32:37.6366096Z  - 
2022-11-23T01:32:37.6366219Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6366281Z             {
2022-11-23T01:32:37.6366449Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6366555Z                 'code': None,
2022-11-23T01:32:37.6366764Z                 'obj_weakref': <weakref at 0x7f7106764290; to 'Tensor' at 0x7f70f27912f0>
2022-11-23T01:32:37.6367015Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6367066Z             }
2022-11-23T01:32:37.6367128Z             
2022-11-23T01:32:37.6367196Z  - 
2022-11-23T01:32:37.6367316Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.6367381Z             {
2022-11-23T01:32:37.6367522Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6367627Z                 'code': None,
2022-11-23T01:32:37.6367819Z                 'obj_weakref': <weakref at 0x7f7129f22a10; to 'Tensor' at 0x7f71c1358890>
2022-11-23T01:32:37.6368065Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6368133Z             }
2022-11-23T01:32:37.6368194Z             
2022-11-23T01:32:37.6368262Z  - 
2022-11-23T01:32:37.6368379Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6368440Z             {
2022-11-23T01:32:37.6368561Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6368729Z                 'code': ['___check_obj_id(model, 140123409462928)'],
2022-11-23T01:32:37.6368976Z                 'obj_weakref': <weakref at 0x7f71066d8290; to 'M' at 0x7f71060bb690>
2022-11-23T01:32:37.6369369Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.6369485Z             }
2022-11-23T01:32:37.6369598Z             
2022-11-23T01:32:37.6369719Z  - 
2022-11-23T01:32:37.6369857Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6369921Z             {
2022-11-23T01:32:37.6370054Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6370274Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6370390Z                 'obj_weakref': None
2022-11-23T01:32:37.6370607Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6370669Z             }
2022-11-23T01:32:37.6370718Z             
2022-11-23T01:32:37.6370786Z  - 
2022-11-23T01:32:37.6370918Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.6370979Z             {
2022-11-23T01:32:37.6371096Z                 'guard_types': None,
2022-11-23T01:32:37.6371202Z                 'code': None,
2022-11-23T01:32:37.6371317Z                 'obj_weakref': None
2022-11-23T01:32:37.6371423Z                 'guarded_class': None
2022-11-23T01:32:37.6371487Z             }
2022-11-23T01:32:37.6371549Z             
2022-11-23T01:32:37.6371616Z  - 
2022-11-23T01:32:37.6371767Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.6371828Z             {
2022-11-23T01:32:37.6371933Z                 'guard_types': None,
2022-11-23T01:32:37.6372038Z                 'code': None,
2022-11-23T01:32:37.6372152Z                 'obj_weakref': None
2022-11-23T01:32:37.6372269Z                 'guarded_class': None
2022-11-23T01:32:37.6372332Z             }
2022-11-23T01:32:37.6372394Z             
2022-11-23T01:32:37.6372464Z  - 
2022-11-23T01:32:37.6372618Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.6372680Z             {
2022-11-23T01:32:37.6372795Z                 'guard_types': None,
2022-11-23T01:32:37.6372901Z                 'code': None,
2022-11-23T01:32:37.6373073Z                 'obj_weakref': None
2022-11-23T01:32:37.6373191Z                 'guarded_class': None
2022-11-23T01:32:37.6373253Z             }
2022-11-23T01:32:37.6373302Z             
2022-11-23T01:32:37.6373560Z [2022-11-23 01:22:43,870] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 237
2022-11-23T01:32:37.6373964Z [2022-11-23 01:22:46,423] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wx/cwxkqc4f56idma2s4ojmo6orryr2hbcokj7f73zk4obac6x6wyym.py
2022-11-23T01:32:37.6374230Z [2022-11-23 01:22:46,424] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 237
2022-11-23T01:32:37.6374464Z [2022-11-23 01:22:46,438] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6374730Z [2022-11-23 01:22:46,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6374947Z [2022-11-23 01:22:46,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6375192Z [2022-11-23 01:22:46,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6375470Z [2022-11-23 01:22:46,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6375773Z [2022-11-23 01:22:46,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6376107Z [2022-11-23 01:22:46,439] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.6376201Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6376296Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.6376385Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6376476Z                6 CALL_METHOD              1
2022-11-23T01:32:37.6376566Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.6376572Z 
2022-11-23T01:32:37.6376662Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6376745Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.6376832Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6376921Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.6377013Z               18 CALL_METHOD              2
2022-11-23T01:32:37.6377101Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.6377105Z 
2022-11-23T01:32:37.6377190Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6377265Z               24 RETURN_VALUE
2022-11-23T01:32:37.6377327Z  
2022-11-23T01:32:37.6377332Z 
2022-11-23T01:32:37.6377587Z [2022-11-23 01:22:46,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.6377802Z [2022-11-23 01:22:46,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6378049Z [2022-11-23 01:22:46,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.6378288Z [2022-11-23 01:22:46,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.6378564Z [2022-11-23 01:22:46,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.6378799Z [2022-11-23 01:22:46,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6379061Z [2022-11-23 01:22:46,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.6379271Z [2022-11-23 01:22:46,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6379517Z [2022-11-23 01:22:46,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.6379785Z [2022-11-23 01:22:46,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.6380061Z [2022-11-23 01:22:46,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.6380375Z [2022-11-23 01:22:46,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6380749Z [2022-11-23 01:22:46,450] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f64e1540, file "inductor/test_torchinductor.py", line 110> 
2022-11-23T01:32:37.6380846Z  110           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.6380939Z               2 LOAD_METHOD              1 (sub)
2022-11-23T01:32:37.6381028Z               4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.6381115Z               6 LOAD_FAST                1 (y)
2022-11-23T01:32:37.6381192Z               8 CALL_METHOD              2
2022-11-23T01:32:37.6381270Z              10 RETURN_VALUE
2022-11-23T01:32:37.6381329Z  
2022-11-23T01:32:37.6381334Z 
2022-11-23T01:32:37.6381550Z [2022-11-23 01:22:46,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.6381915Z [2022-11-23 01:22:46,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.6382233Z [2022-11-23 01:22:46,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method sub of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.6382578Z [2022-11-23 01:22:46,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method sub of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.6382958Z [2022-11-23 01:22:46,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method sub of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6383211Z [2022-11-23 01:22:46,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6383549Z [2022-11-23 01:22:46,455] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f64e1540, file "inductor/test_torchinductor.py", line 110>
2022-11-23T01:32:37.6383777Z [2022-11-23 01:22:46,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6384043Z [2022-11-23 01:22:46,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.6384250Z [2022-11-23 01:22:46,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6384587Z [2022-11-23 01:22:46,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6384931Z [2022-11-23 01:22:46,455] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.6385178Z [2022-11-23 01:22:46,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6385412Z [2022-11-23 01:22:46,455] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6385667Z [2022-11-23 01:22:46,457] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6385916Z [2022-11-23 01:22:46,469] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6386104Z [2022-11-23 01:22:46,469] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6386224Z  __compiled_fn_245 <eval_with_key>.1531 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6386313Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6386401Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.6386551Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.6386793Z call_function, sub, <built-in method sub of type object at 0x7f71f2abebc0>, (model_linear, ex_1_), {}
2022-11-23T01:32:37.6386887Z output, output, output, ((sub,),), {}
2022-11-23T01:32:37.6386893Z 
2022-11-23T01:32:37.6387170Z [2022-11-23 01:22:46,470] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6387294Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6387372Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6387463Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6387554Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6387628Z               8 RETURN_VALUE
2022-11-23T01:32:37.6387633Z 
2022-11-23T01:32:37.6387694Z  
2022-11-23T01:32:37.6387965Z [2022-11-23 01:22:46,470] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6388076Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_245)
2022-11-23T01:32:37.6388152Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6388240Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6388315Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6388400Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6388487Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.6388563Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.6388651Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.6388728Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6388800Z              18 RETURN_VALUE
2022-11-23T01:32:37.6388806Z 
2022-11-23T01:32:37.6388866Z  
2022-11-23T01:32:37.6389046Z [2022-11-23 01:22:46,472] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6389114Z  - 
2022-11-23T01:32:37.6389232Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6389297Z             {
2022-11-23T01:32:37.6389422Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6389607Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.6389725Z                 'obj_weakref': None
2022-11-23T01:32:37.6389945Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6390010Z             }
2022-11-23T01:32:37.6390071Z             
2022-11-23T01:32:37.6390141Z  - 
2022-11-23T01:32:37.6390251Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6390313Z             {
2022-11-23T01:32:37.6390453Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6390557Z                 'code': None,
2022-11-23T01:32:37.6390763Z                 'obj_weakref': <weakref at 0x7f710639d0b0; to 'Tensor' at 0x7f7106764c50>
2022-11-23T01:32:37.6391011Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6391075Z             }
2022-11-23T01:32:37.6391137Z             
2022-11-23T01:32:37.6391192Z  - 
2022-11-23T01:32:37.6391312Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.6391375Z             {
2022-11-23T01:32:37.6391517Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6391622Z                 'code': None,
2022-11-23T01:32:37.6391822Z                 'obj_weakref': <weakref at 0x7f7106764cb0; to 'Tensor' at 0x7f7106764890>
2022-11-23T01:32:37.6392068Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6392119Z             }
2022-11-23T01:32:37.6392180Z             
2022-11-23T01:32:37.6392246Z  - 
2022-11-23T01:32:37.6392363Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6392425Z             {
2022-11-23T01:32:37.6392557Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6392712Z                 'code': ['___check_obj_id(model, 140123415924944)'],
2022-11-23T01:32:37.6392944Z                 'obj_weakref': <weakref at 0x7f71067895f0; to 'M' at 0x7f71066e50d0>
2022-11-23T01:32:37.6393157Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.6393220Z             }
2022-11-23T01:32:37.6393281Z             
2022-11-23T01:32:37.6393349Z  - 
2022-11-23T01:32:37.6393469Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6393522Z             {
2022-11-23T01:32:37.6393686Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6393906Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6394023Z                 'obj_weakref': None
2022-11-23T01:32:37.6394239Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6394301Z             }
2022-11-23T01:32:37.6394362Z             
2022-11-23T01:32:37.6394431Z  - 
2022-11-23T01:32:37.6394553Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.6394614Z             {
2022-11-23T01:32:37.6394732Z                 'guard_types': None,
2022-11-23T01:32:37.6394836Z                 'code': None,
2022-11-23T01:32:37.6394950Z                 'obj_weakref': None
2022-11-23T01:32:37.6395070Z                 'guarded_class': None
2022-11-23T01:32:37.6395119Z             }
2022-11-23T01:32:37.6395180Z             
2022-11-23T01:32:37.6395247Z  - 
2022-11-23T01:32:37.6395401Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.6395465Z             {
2022-11-23T01:32:37.6395580Z                 'guard_types': None,
2022-11-23T01:32:37.6395685Z                 'code': None,
2022-11-23T01:32:37.6395788Z                 'obj_weakref': None
2022-11-23T01:32:37.6395905Z                 'guarded_class': None
2022-11-23T01:32:37.6395966Z             }
2022-11-23T01:32:37.6396028Z             
2022-11-23T01:32:37.6396095Z  - 
2022-11-23T01:32:37.6396263Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.6396328Z             {
2022-11-23T01:32:37.6396431Z                 'guard_types': None,
2022-11-23T01:32:37.6396535Z                 'code': None,
2022-11-23T01:32:37.6396649Z                 'obj_weakref': None
2022-11-23T01:32:37.6396768Z                 'guarded_class': None
2022-11-23T01:32:37.6396830Z             }
2022-11-23T01:32:37.6396892Z             
2022-11-23T01:32:37.6397309Z [2022-11-23 01:22:46,490] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 238
2022-11-23T01:32:37.6397317Z 
2022-11-23T01:32:37.6397322Z 
2022-11-23T01:32:37.6397411Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6397480Z import torch
2022-11-23T01:32:37.6397549Z import random
2022-11-23T01:32:37.6397666Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6397790Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6397795Z 
2022-11-23T01:32:37.6397875Z aten = torch.ops.aten
2022-11-23T01:32:37.6398012Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6398091Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6398109Z 
2022-11-23T01:32:37.6398113Z 
2022-11-23T01:32:37.6398236Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6398447Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6398571Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.6398685Z                        const bfloat16* __restrict__ in_ptr0)
2022-11-23T01:32:37.6398747Z {
2022-11-23T01:32:37.6398845Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6398908Z     {
2022-11-23T01:32:37.6398972Z         #pragma omp for 
2022-11-23T01:32:37.6399056Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.6399119Z         {
2022-11-23T01:32:37.6399182Z             {
2022-11-23T01:32:37.6399248Z                 {
2022-11-23T01:32:37.6399366Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6399547Z                     auto tmp1 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.6399626Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.6399716Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6399781Z                 }
2022-11-23T01:32:37.6399845Z             }
2022-11-23T01:32:37.6399910Z         }
2022-11-23T01:32:37.6399973Z     }
2022-11-23T01:32:37.6400033Z }
2022-11-23T01:32:37.6400098Z ''')
2022-11-23T01:32:37.6400139Z 
2022-11-23T01:32:37.6400144Z 
2022-11-23T01:32:37.6400233Z async_compile.wait(globals())
2022-11-23T01:32:37.6400305Z del async_compile
2022-11-23T01:32:37.6400309Z 
2022-11-23T01:32:37.6400382Z def call(args):
2022-11-23T01:32:37.6400465Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.6400537Z     args.clear()
2022-11-23T01:32:37.6400741Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6400850Z     aten.mm.out(arg1_1, as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.6400918Z     del arg0_1
2022-11-23T01:32:37.6400983Z     del arg1_1
2022-11-23T01:32:37.6401067Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.6401199Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.6401264Z     del arg2_1
2022-11-23T01:32:37.6401336Z     return (buf1, )
2022-11-23T01:32:37.6401341Z 
2022-11-23T01:32:37.6401344Z 
2022-11-23T01:32:37.6401421Z if __name__ == "__main__":
2022-11-23T01:32:37.6401524Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6401644Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6401845Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6402042Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6402236Z     arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6402356Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.6402363Z 
2022-11-23T01:32:37.6402368Z 
2022-11-23T01:32:37.6402460Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6402528Z import torch
2022-11-23T01:32:37.6402584Z import random
2022-11-23T01:32:37.6402696Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6402815Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6402819Z 
2022-11-23T01:32:37.6402895Z aten = torch.ops.aten
2022-11-23T01:32:37.6403029Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6403119Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6403123Z 
2022-11-23T01:32:37.6403127Z 
2022-11-23T01:32:37.6403257Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6403459Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6403566Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.6403672Z                        const bfloat16* __restrict__ in_ptr0)
2022-11-23T01:32:37.6403734Z {
2022-11-23T01:32:37.6403832Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6403893Z     {
2022-11-23T01:32:37.6403969Z         #pragma omp for 
2022-11-23T01:32:37.6404051Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.6404101Z         {
2022-11-23T01:32:37.6404163Z             {
2022-11-23T01:32:37.6404229Z                 {
2022-11-23T01:32:37.6404350Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6404465Z                     auto tmp1 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.6404599Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.6404675Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6404737Z                 }
2022-11-23T01:32:37.6404799Z             }
2022-11-23T01:32:37.6404860Z         }
2022-11-23T01:32:37.6404921Z     }
2022-11-23T01:32:37.6404981Z }
2022-11-23T01:32:37.6405056Z ''')
2022-11-23T01:32:37.6405093Z 
2022-11-23T01:32:37.6405098Z 
2022-11-23T01:32:37.6405174Z async_compile.wait(globals())
2022-11-23T01:32:37.6405249Z del async_compile
2022-11-23T01:32:37.6405254Z 
2022-11-23T01:32:37.6405323Z def call(args):
2022-11-23T01:32:37.6405411Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:32:37.6405481Z     args.clear()
2022-11-23T01:32:37.6405678Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6405877Z     aten.addmm.out(arg1_1, as_strided(arg2_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.6405945Z     del arg0_1
2022-11-23T01:32:37.6405997Z     del arg1_1
2022-11-23T01:32:37.6406062Z     del arg2_1
2022-11-23T01:32:37.6406178Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.6406309Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.6406377Z     del arg3_1
2022-11-23T01:32:37.6406447Z     return (buf1, )
2022-11-23T01:32:37.6406455Z 
2022-11-23T01:32:37.6406459Z 
2022-11-23T01:32:37.6406533Z if __name__ == "__main__":
2022-11-23T01:32:37.6406634Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6406758Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6406957Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6407152Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6407356Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6407561Z     arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6407690Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:32:37.6407696Z 
2022-11-23T01:32:37.6407700Z 
2022-11-23T01:32:37.6407791Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6407859Z import torch
2022-11-23T01:32:37.6407918Z import random
2022-11-23T01:32:37.6408030Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6408148Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6408153Z 
2022-11-23T01:32:37.6408231Z aten = torch.ops.aten
2022-11-23T01:32:37.6408362Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6408452Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6408457Z 
2022-11-23T01:32:37.6408461Z 
2022-11-23T01:32:37.6408593Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6408795Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6408902Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.6409010Z                        const bfloat16* __restrict__ in_ptr0)
2022-11-23T01:32:37.6409070Z {
2022-11-23T01:32:37.6409166Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6409228Z     {
2022-11-23T01:32:37.6409307Z         #pragma omp for 
2022-11-23T01:32:37.6409378Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.6409441Z         {
2022-11-23T01:32:37.6409503Z             {
2022-11-23T01:32:37.6409567Z                 {
2022-11-23T01:32:37.6409687Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6409799Z                     auto tmp1 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.6409932Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.6410011Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6410074Z                 }
2022-11-23T01:32:37.6410136Z             }
2022-11-23T01:32:37.6410197Z         }
2022-11-23T01:32:37.6410259Z     }
2022-11-23T01:32:37.6410318Z }
2022-11-23T01:32:37.6410395Z ''')
2022-11-23T01:32:37.6410400Z 
2022-11-23T01:32:37.6410404Z 
2022-11-23T01:32:37.6410481Z async_compile.wait(globals())
2022-11-23T01:32:37.6410552Z del async_compile
2022-11-23T01:32:37.6410556Z 
2022-11-23T01:32:37.6410625Z def call(args):
2022-11-23T01:32:37.6410737Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.6410808Z     args.clear()
2022-11-23T01:32:37.6411003Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6411147Z     aten.mm.out(as_strided(arg1_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.6411214Z     del arg0_1
2022-11-23T01:32:37.6411267Z     del arg1_1
2022-11-23T01:32:37.6411419Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.6411552Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.6411618Z     del arg2_1
2022-11-23T01:32:37.6411690Z     return (buf1, )
2022-11-23T01:32:37.6411695Z 
2022-11-23T01:32:37.6411700Z 
2022-11-23T01:32:37.6411775Z if __name__ == "__main__":
2022-11-23T01:32:37.6411888Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6411996Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6412198Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6412402Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6412604Z     arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6412724Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.6412729Z 
2022-11-23T01:32:37.6412733Z 
2022-11-23T01:32:37.6412827Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6412896Z import torch
2022-11-23T01:32:37.6412965Z import random
2022-11-23T01:32:37.6413067Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6413184Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6413189Z 
2022-11-23T01:32:37.6413265Z aten = torch.ops.aten
2022-11-23T01:32:37.6413397Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6413487Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6413494Z 
2022-11-23T01:32:37.6413499Z 
2022-11-23T01:32:37.6413628Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6413831Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6413949Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.6414055Z                        const bfloat16* __restrict__ in_ptr0)
2022-11-23T01:32:37.6414104Z {
2022-11-23T01:32:37.6414202Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6414262Z     {
2022-11-23T01:32:37.6414338Z         #pragma omp for 
2022-11-23T01:32:37.6414419Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.6414484Z         {
2022-11-23T01:32:37.6414535Z             {
2022-11-23T01:32:37.6414597Z                 {
2022-11-23T01:32:37.6414716Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6414829Z                     auto tmp1 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.6414965Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.6415053Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6415117Z                 }
2022-11-23T01:32:37.6415167Z             }
2022-11-23T01:32:37.6415229Z         }
2022-11-23T01:32:37.6415290Z     }
2022-11-23T01:32:37.6415349Z }
2022-11-23T01:32:37.6415428Z ''')
2022-11-23T01:32:37.6415433Z 
2022-11-23T01:32:37.6415437Z 
2022-11-23T01:32:37.6415526Z async_compile.wait(globals())
2022-11-23T01:32:37.6415599Z del async_compile
2022-11-23T01:32:37.6415603Z 
2022-11-23T01:32:37.6415660Z def call(args):
2022-11-23T01:32:37.6415747Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:32:37.6415818Z     args.clear()
2022-11-23T01:32:37.6416015Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6416165Z     aten.addmm.out(arg1_1, arg2_1, as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.6416233Z     del arg0_1
2022-11-23T01:32:37.6416332Z     del arg1_1
2022-11-23T01:32:37.6416385Z     del arg2_1
2022-11-23T01:32:37.6416469Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.6416602Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.6416668Z     del arg3_1
2022-11-23T01:32:37.6416745Z     return (buf1, )
2022-11-23T01:32:37.6416750Z 
2022-11-23T01:32:37.6416754Z 
2022-11-23T01:32:37.6416831Z if __name__ == "__main__":
2022-11-23T01:32:37.6416971Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6417093Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6417280Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6417474Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6417667Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6417859Z     arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6417989Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:32:37.6417993Z 
2022-11-23T01:32:37.6417998Z 
2022-11-23T01:32:37.6418089Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6418157Z import torch
2022-11-23T01:32:37.6418225Z import random
2022-11-23T01:32:37.6418326Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6418445Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6418452Z 
2022-11-23T01:32:37.6418528Z aten = torch.ops.aten
2022-11-23T01:32:37.6418659Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6418748Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6418753Z 
2022-11-23T01:32:37.6418757Z 
2022-11-23T01:32:37.6418889Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6419090Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6419207Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.6419305Z                        const bfloat16* __restrict__ in_ptr0)
2022-11-23T01:32:37.6419365Z {
2022-11-23T01:32:37.6419461Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6419523Z     {
2022-11-23T01:32:37.6419598Z         #pragma omp for 
2022-11-23T01:32:37.6419678Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.6419741Z         {
2022-11-23T01:32:37.6419792Z             {
2022-11-23T01:32:37.6419855Z                 {
2022-11-23T01:32:37.6419974Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6420086Z                     auto tmp1 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.6420221Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.6420313Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6420376Z                 }
2022-11-23T01:32:37.6420427Z             }
2022-11-23T01:32:37.6420487Z         }
2022-11-23T01:32:37.6420546Z     }
2022-11-23T01:32:37.6420608Z }
2022-11-23T01:32:37.6420684Z ''')
2022-11-23T01:32:37.6420689Z 
2022-11-23T01:32:37.6420693Z 
2022-11-23T01:32:37.6420780Z async_compile.wait(globals())
2022-11-23T01:32:37.6420850Z del async_compile
2022-11-23T01:32:37.6420855Z 
2022-11-23T01:32:37.6420911Z def call(args):
2022-11-23T01:32:37.6420991Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.6421060Z     args.clear()
2022-11-23T01:32:37.6421258Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6421378Z     aten.mm.out(arg1_1, as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.6421443Z     del arg0_1
2022-11-23T01:32:37.6421510Z     del arg1_1
2022-11-23T01:32:37.6421582Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.6421711Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.6421778Z     del arg2_1
2022-11-23T01:32:37.6421848Z     return (buf1, )
2022-11-23T01:32:37.6421853Z 
2022-11-23T01:32:37.6421857Z 
2022-11-23T01:32:37.6421959Z if __name__ == "__main__":
2022-11-23T01:32:37.6422070Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6422190Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6422395Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6422582Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6422856Z     arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6422981Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.6423362Z [2022-11-23 01:22:46,506] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ai/caieqefjptgezg5luglx4qda3cfvcrqvypuvdl7sg4azduqybbkb.py
2022-11-23T01:32:37.6423637Z [2022-11-23 01:22:46,506] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 238
2022-11-23T01:32:37.6423874Z [2022-11-23 01:22:46,515] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6424143Z [2022-11-23 01:22:46,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6424363Z [2022-11-23 01:22:46,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6424685Z [2022-11-23 01:22:46,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6424967Z [2022-11-23 01:22:46,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6425284Z [2022-11-23 01:22:46,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6425619Z [2022-11-23 01:22:46,516] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.6425717Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6425813Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.6425909Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6425999Z                6 CALL_METHOD              1
2022-11-23T01:32:37.6426090Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.6426095Z 
2022-11-23T01:32:37.6426174Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6426274Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.6426361Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6426449Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.6426538Z               18 CALL_METHOD              2
2022-11-23T01:32:37.6426626Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.6426631Z 
2022-11-23T01:32:37.6426715Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6426789Z               24 RETURN_VALUE
2022-11-23T01:32:37.6426839Z  
2022-11-23T01:32:37.6426844Z 
2022-11-23T01:32:37.6427118Z [2022-11-23 01:22:46,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.6427329Z [2022-11-23 01:22:46,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6427576Z [2022-11-23 01:22:46,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.6427816Z [2022-11-23 01:22:46,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.6428091Z [2022-11-23 01:22:46,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.6428328Z [2022-11-23 01:22:46,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6428593Z [2022-11-23 01:22:46,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.6428842Z [2022-11-23 01:22:46,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6429080Z [2022-11-23 01:22:46,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.6429330Z [2022-11-23 01:22:46,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.6429631Z [2022-11-23 01:22:46,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.6429943Z [2022-11-23 01:22:46,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6430269Z [2022-11-23 01:22:46,546] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f64e1810, file "inductor/test_torchinductor.py", line 111> 
2022-11-23T01:32:37.6430363Z  111           0 LOAD_FAST                0 (x)
2022-11-23T01:32:37.6430461Z               2 LOAD_METHOD              0 (sub)
2022-11-23T01:32:37.6430550Z               4 LOAD_FAST                1 (y)
2022-11-23T01:32:37.6430626Z               6 CALL_METHOD              1
2022-11-23T01:32:37.6430701Z               8 RETURN_VALUE
2022-11-23T01:32:37.6430761Z  
2022-11-23T01:32:37.6430766Z 
2022-11-23T01:32:37.6430974Z [2022-11-23 01:22:46,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6431217Z [2022-11-23 01:22:46,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable()]
2022-11-23T01:32:37.6431487Z [2022-11-23 01:22:46,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub)]
2022-11-23T01:32:37.6431791Z [2022-11-23 01:22:46,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub), TensorVariable()]
2022-11-23T01:32:37.6432036Z [2022-11-23 01:22:46,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6432377Z [2022-11-23 01:22:46,550] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f64e1810, file "inductor/test_torchinductor.py", line 111>
2022-11-23T01:32:37.6432602Z [2022-11-23 01:22:46,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6432868Z [2022-11-23 01:22:46,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.6433073Z [2022-11-23 01:22:46,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6433318Z [2022-11-23 01:22:46,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6433653Z [2022-11-23 01:22:46,551] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.6433897Z [2022-11-23 01:22:46,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6434133Z [2022-11-23 01:22:46,551] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6434385Z [2022-11-23 01:22:46,553] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6434633Z [2022-11-23 01:22:46,580] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6434821Z [2022-11-23 01:22:46,580] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6434942Z  __compiled_fn_246 <eval_with_key>.1537 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6435031Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6435116Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.6435229Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.6435334Z call_method, sub, sub, (model_linear, ex_1_), {}
2022-11-23T01:32:37.6435455Z output, output, output, ((sub,),), {}
2022-11-23T01:32:37.6435460Z 
2022-11-23T01:32:37.6435733Z [2022-11-23 01:22:46,581] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6435814Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6435903Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6435992Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6436111Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6436186Z               8 RETURN_VALUE
2022-11-23T01:32:37.6436191Z 
2022-11-23T01:32:37.6436252Z  
2022-11-23T01:32:37.6436521Z [2022-11-23 01:22:46,581] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6436629Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_246)
2022-11-23T01:32:37.6436705Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6436792Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6436869Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6436956Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6437043Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.6437240Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.6437331Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.6437409Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6437484Z              18 RETURN_VALUE
2022-11-23T01:32:37.6437492Z 
2022-11-23T01:32:37.6437554Z  
2022-11-23T01:32:37.6437738Z [2022-11-23 01:22:46,583] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6437808Z  - 
2022-11-23T01:32:37.6437927Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6437994Z             {
2022-11-23T01:32:37.6438122Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6438307Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.6438428Z                 'obj_weakref': None
2022-11-23T01:32:37.6438652Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6438718Z             }
2022-11-23T01:32:37.6438783Z             
2022-11-23T01:32:37.6438853Z  - 
2022-11-23T01:32:37.6438963Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6439026Z             {
2022-11-23T01:32:37.6439169Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6439279Z                 'code': None,
2022-11-23T01:32:37.6439486Z                 'obj_weakref': <weakref at 0x7f711892a950; to 'Tensor' at 0x7f71067a47d0>
2022-11-23T01:32:37.6439733Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6439798Z             }
2022-11-23T01:32:37.6439848Z             
2022-11-23T01:32:37.6439919Z  - 
2022-11-23T01:32:37.6440039Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.6440103Z             {
2022-11-23T01:32:37.6440249Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6440354Z                 'code': None,
2022-11-23T01:32:37.6440557Z                 'obj_weakref': <weakref at 0x7f711892a050; to 'Tensor' at 0x7f710639d6b0>
2022-11-23T01:32:37.6440792Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6440857Z             }
2022-11-23T01:32:37.6440918Z             
2022-11-23T01:32:37.6440989Z  - 
2022-11-23T01:32:37.6441108Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6441170Z             {
2022-11-23T01:32:37.6441306Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6441463Z                 'code': ['___check_obj_id(model, 140123086120912)'],
2022-11-23T01:32:37.6441665Z                 'obj_weakref': <weakref at 0x7f70f2e17ad0; to 'M' at 0x7f70f2c5e7d0>
2022-11-23T01:32:37.6441876Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.6441995Z             }
2022-11-23T01:32:37.6442059Z             
2022-11-23T01:32:37.6442132Z  - 
2022-11-23T01:32:37.6442253Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6442303Z             {
2022-11-23T01:32:37.6442440Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6442659Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6442778Z                 'obj_weakref': None
2022-11-23T01:32:37.6443031Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6443096Z             }
2022-11-23T01:32:37.6443160Z             
2022-11-23T01:32:37.6443216Z  - 
2022-11-23T01:32:37.6443374Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.6443437Z             {
2022-11-23T01:32:37.6443556Z                 'guard_types': None,
2022-11-23T01:32:37.6443663Z                 'code': None,
2022-11-23T01:32:37.6443782Z                 'obj_weakref': None
2022-11-23T01:32:37.6443901Z                 'guarded_class': None
2022-11-23T01:32:37.6443950Z             }
2022-11-23T01:32:37.6444012Z             
2022-11-23T01:32:37.6444078Z  - 
2022-11-23T01:32:37.6444242Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.6444304Z             {
2022-11-23T01:32:37.6444420Z                 'guard_types': None,
2022-11-23T01:32:37.6444525Z                 'code': None,
2022-11-23T01:32:37.6444629Z                 'obj_weakref': None
2022-11-23T01:32:37.6444751Z                 'guarded_class': None
2022-11-23T01:32:37.6444811Z             }
2022-11-23T01:32:37.6444873Z             
2022-11-23T01:32:37.6445129Z [2022-11-23 01:22:46,617] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 239
2022-11-23T01:32:37.6445497Z [2022-11-23 01:22:46,635] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rk/crkclln2ujoyu4ub5rkesshg46fd6ctoa6qt76iexcagsafkyjvx.py
2022-11-23T01:32:37.6445761Z [2022-11-23 01:22:46,636] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 239
2022-11-23T01:32:37.6445997Z [2022-11-23 01:22:46,645] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6446252Z [2022-11-23 01:22:46,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6446467Z [2022-11-23 01:22:46,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6446709Z [2022-11-23 01:22:46,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6446981Z [2022-11-23 01:22:46,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6447295Z [2022-11-23 01:22:46,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6447627Z [2022-11-23 01:22:46,646] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.6447721Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6447816Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.6447906Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6447982Z                6 CALL_METHOD              1
2022-11-23T01:32:37.6448073Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.6448078Z 
2022-11-23T01:32:37.6448168Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6448264Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.6448350Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6448435Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.6448521Z               18 CALL_METHOD              2
2022-11-23T01:32:37.6448631Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.6448648Z 
2022-11-23T01:32:37.6448720Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6448795Z               24 RETURN_VALUE
2022-11-23T01:32:37.6448855Z  
2022-11-23T01:32:37.6448860Z 
2022-11-23T01:32:37.6449129Z [2022-11-23 01:22:46,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.6449368Z [2022-11-23 01:22:46,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6449615Z [2022-11-23 01:22:46,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.6449853Z [2022-11-23 01:22:46,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.6450239Z [2022-11-23 01:22:46,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.6450469Z [2022-11-23 01:22:46,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6450963Z [2022-11-23 01:22:46,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.6451382Z [2022-11-23 01:22:46,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6451808Z [2022-11-23 01:22:46,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.6452237Z [2022-11-23 01:22:46,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.6452709Z [2022-11-23 01:22:46,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.6453231Z [2022-11-23 01:22:46,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6453792Z [2022-11-23 01:22:46,657] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f64e1810, file "inductor/test_torchinductor.py", line 111> 
2022-11-23T01:32:37.6454103Z  111           0 LOAD_FAST                0 (x)
2022-11-23T01:32:37.6454314Z               2 LOAD_METHOD              0 (sub)
2022-11-23T01:32:37.6454533Z               4 LOAD_FAST                1 (y)
2022-11-23T01:32:37.6454726Z               6 CALL_METHOD              1
2022-11-23T01:32:37.6454919Z               8 RETURN_VALUE
2022-11-23T01:32:37.6455097Z  
2022-11-23T01:32:37.6455188Z 
2022-11-23T01:32:37.6455397Z [2022-11-23 01:22:46,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6455796Z [2022-11-23 01:22:46,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable()]
2022-11-23T01:32:37.6456259Z [2022-11-23 01:22:46,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub)]
2022-11-23T01:32:37.6456765Z [2022-11-23 01:22:46,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub), TensorVariable()]
2022-11-23T01:32:37.6457237Z [2022-11-23 01:22:46,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6457750Z [2022-11-23 01:22:46,661] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f64e1810, file "inductor/test_torchinductor.py", line 111>
2022-11-23T01:32:37.6458234Z [2022-11-23 01:22:46,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6458688Z [2022-11-23 01:22:46,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.6459098Z [2022-11-23 01:22:46,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6459497Z [2022-11-23 01:22:46,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6460029Z [2022-11-23 01:22:46,661] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.6460589Z [2022-11-23 01:22:46,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6461017Z [2022-11-23 01:22:46,661] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6461468Z [2022-11-23 01:22:46,663] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6461907Z [2022-11-23 01:22:46,675] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6462283Z [2022-11-23 01:22:46,676] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6462557Z  __compiled_fn_247 <eval_with_key>.1543 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6462809Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6463018Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.6463241Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.6463491Z call_method, sub, sub, (model_linear, ex_1_), {}
2022-11-23T01:32:37.6463724Z output, output, output, ((sub,),), {}
2022-11-23T01:32:37.6463852Z 
2022-11-23T01:32:37.6464130Z [2022-11-23 01:22:46,676] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6464420Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6464713Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6464923Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6465123Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6465321Z               8 RETURN_VALUE
2022-11-23T01:32:37.6465433Z 
2022-11-23T01:32:37.6465494Z  
2022-11-23T01:32:37.6465848Z [2022-11-23 01:22:46,676] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6466161Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_247)
2022-11-23T01:32:37.6466385Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6466593Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6466774Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6466972Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6467183Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.6467363Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.6467559Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.6467764Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6467942Z              18 RETURN_VALUE
2022-11-23T01:32:37.6468053Z 
2022-11-23T01:32:37.6468113Z  
2022-11-23T01:32:37.6468381Z [2022-11-23 01:22:46,679] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6468586Z  - 
2022-11-23T01:32:37.6468792Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6468969Z             {
2022-11-23T01:32:37.6469194Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6469502Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.6469765Z                 'obj_weakref': None
2022-11-23T01:32:37.6470100Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6470319Z             }
2022-11-23T01:32:37.6470475Z             
2022-11-23T01:32:37.6470635Z  - 
2022-11-23T01:32:37.6470839Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6471018Z             {
2022-11-23T01:32:37.6471252Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6471472Z                 'code': None,
2022-11-23T01:32:37.6471787Z                 'obj_weakref': <weakref at 0x7f7106269fb0; to 'Tensor' at 0x7f70f2d80290>
2022-11-23T01:32:37.6472194Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6472468Z             }
2022-11-23T01:32:37.6472623Z             
2022-11-23T01:32:37.6472783Z  - 
2022-11-23T01:32:37.6472982Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.6473161Z             {
2022-11-23T01:32:37.6473396Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6473615Z                 'code': None,
2022-11-23T01:32:37.6473925Z                 'obj_weakref': <weakref at 0x7f71070c2830; to 'Tensor' at 0x7f71063733b0>
2022-11-23T01:32:37.6474364Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6474607Z             }
2022-11-23T01:32:37.6474752Z             
2022-11-23T01:32:37.6474914Z  - 
2022-11-23T01:32:37.6475120Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6475286Z             {
2022-11-23T01:32:37.6475511Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6475797Z                 'code': ['___check_obj_id(model, 140123426511888)'],
2022-11-23T01:32:37.6476122Z                 'obj_weakref': <weakref at 0x7f70f2d80d10; to 'M' at 0x7f71070fdc10>
2022-11-23T01:32:37.6476489Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.6476714Z             }
2022-11-23T01:32:37.6476859Z             
2022-11-23T01:32:37.6477018Z  - 
2022-11-23T01:32:37.6477348Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6477519Z             {
2022-11-23T01:32:37.6477753Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6478094Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6478375Z                 'obj_weakref': None
2022-11-23T01:32:37.6478695Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6478921Z             }
2022-11-23T01:32:37.6479077Z             
2022-11-23T01:32:37.6479226Z  - 
2022-11-23T01:32:37.6479469Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.6479670Z             {
2022-11-23T01:32:37.6479869Z                 'guard_types': None,
2022-11-23T01:32:37.6480091Z                 'code': None,
2022-11-23T01:32:37.6480312Z                 'obj_weakref': None
2022-11-23T01:32:37.6480531Z                 'guarded_class': None
2022-11-23T01:32:37.6480708Z             }
2022-11-23T01:32:37.6480863Z             
2022-11-23T01:32:37.6481009Z  - 
2022-11-23T01:32:37.6481266Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.6481472Z             {
2022-11-23T01:32:37.6481671Z                 'guard_types': None,
2022-11-23T01:32:37.6481891Z                 'code': None,
2022-11-23T01:32:37.6482112Z                 'obj_weakref': None
2022-11-23T01:32:37.6482331Z                 'guarded_class': None
2022-11-23T01:32:37.6482508Z             }
2022-11-23T01:32:37.6482661Z             
2022-11-23T01:32:37.6483005Z [2022-11-23 01:22:46,700] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 240
2022-11-23T01:32:37.6483573Z [2022-11-23 01:22:46,714] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mw/cmwjlmzof22gz5hso6tg5ub277pstfabcr6pneopwm5otzrz5kfl.py
2022-11-23T01:32:37.6484107Z [2022-11-23 01:22:46,715] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 240
2022-11-23T01:32:37.6484535Z [2022-11-23 01:22:46,724] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6484967Z [2022-11-23 01:22:46,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6485381Z [2022-11-23 01:22:46,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6485789Z [2022-11-23 01:22:46,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6486249Z [2022-11-23 01:22:46,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6486831Z [2022-11-23 01:22:46,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6487398Z [2022-11-23 01:22:46,725] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.6487726Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6488011Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.6488210Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6488417Z                6 CALL_METHOD              1
2022-11-23T01:32:37.6488624Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.6488738Z 
2022-11-23T01:32:37.6488829Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6489041Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.6489249Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6489442Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.6489643Z               18 CALL_METHOD              2
2022-11-23T01:32:37.6489843Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.6489961Z 
2022-11-23T01:32:37.6490047Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6490223Z               24 RETURN_VALUE
2022-11-23T01:32:37.6490390Z  
2022-11-23T01:32:37.6490481Z 
2022-11-23T01:32:37.6490760Z [2022-11-23 01:22:46,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.6491166Z [2022-11-23 01:22:46,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6491577Z [2022-11-23 01:22:46,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.6492005Z [2022-11-23 01:22:46,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.6492465Z [2022-11-23 01:22:46,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.6492894Z [2022-11-23 01:22:46,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6493343Z [2022-11-23 01:22:46,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.6493753Z [2022-11-23 01:22:46,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6494152Z [2022-11-23 01:22:46,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.6494589Z [2022-11-23 01:22:46,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.6495055Z [2022-11-23 01:22:46,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.6495575Z [2022-11-23 01:22:46,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6496122Z [2022-11-23 01:22:46,751] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f64e1810, file "inductor/test_torchinductor.py", line 111> 
2022-11-23T01:32:37.6496483Z  111           0 LOAD_FAST                0 (x)
2022-11-23T01:32:37.6496695Z               2 LOAD_METHOD              0 (sub)
2022-11-23T01:32:37.6496907Z               4 LOAD_FAST                1 (y)
2022-11-23T01:32:37.6497098Z               6 CALL_METHOD              1
2022-11-23T01:32:37.6497289Z               8 RETURN_VALUE
2022-11-23T01:32:37.6497461Z  
2022-11-23T01:32:37.6497538Z 
2022-11-23T01:32:37.6497750Z [2022-11-23 01:22:46,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6498159Z [2022-11-23 01:22:46,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable()]
2022-11-23T01:32:37.6498667Z [2022-11-23 01:22:46,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub)]
2022-11-23T01:32:37.6499178Z [2022-11-23 01:22:46,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub), TensorVariable()]
2022-11-23T01:32:37.6499629Z [2022-11-23 01:22:46,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6500196Z [2022-11-23 01:22:46,755] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f64e1810, file "inductor/test_torchinductor.py", line 111>
2022-11-23T01:32:37.6500676Z [2022-11-23 01:22:46,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6501127Z [2022-11-23 01:22:46,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.6501520Z [2022-11-23 01:22:46,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6501944Z [2022-11-23 01:22:46,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6502474Z [2022-11-23 01:22:46,755] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.6502965Z [2022-11-23 01:22:46,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6503376Z [2022-11-23 01:22:46,755] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6503813Z [2022-11-23 01:22:46,757] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6504256Z [2022-11-23 01:22:46,782] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6504704Z [2022-11-23 01:22:46,783] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6504996Z  __compiled_fn_248 <eval_with_key>.1549 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6505248Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6505462Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.6505685Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.6505936Z call_method, sub, sub, (model_linear, ex_1_), {}
2022-11-23T01:32:37.6506168Z output, output, output, ((sub,),), {}
2022-11-23T01:32:37.6506288Z 
2022-11-23T01:32:37.6506571Z [2022-11-23 01:22:46,784] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6506873Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6507087Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6514177Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6514458Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6514644Z               8 RETURN_VALUE
2022-11-23T01:32:37.6514766Z 
2022-11-23T01:32:37.6514828Z  
2022-11-23T01:32:37.6515236Z [2022-11-23 01:22:46,784] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6515546Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_248)
2022-11-23T01:32:37.6515772Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6515982Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6516182Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6516373Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6516582Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.6516777Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.6516961Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.6517304Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6517498Z              18 RETURN_VALUE
2022-11-23T01:32:37.6517616Z 
2022-11-23T01:32:37.6517663Z  
2022-11-23T01:32:37.6517942Z [2022-11-23 01:22:46,786] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6518287Z  - 
2022-11-23T01:32:37.6518484Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6518666Z             {
2022-11-23T01:32:37.6518904Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6519202Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.6519476Z                 'obj_weakref': None
2022-11-23T01:32:37.6519857Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6520091Z             }
2022-11-23T01:32:37.6520234Z             
2022-11-23T01:32:37.6520401Z  - 
2022-11-23T01:32:37.6520614Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6520779Z             {
2022-11-23T01:32:37.6521016Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6521251Z                 'code': None,
2022-11-23T01:32:37.6521556Z                 'obj_weakref': <weakref at 0x7f70f2d80290; to 'Tensor' at 0x7f711892aa10>
2022-11-23T01:32:37.6521970Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6522215Z             }
2022-11-23T01:32:37.6522358Z             
2022-11-23T01:32:37.6522518Z  - 
2022-11-23T01:32:37.6522726Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.6522893Z             {
2022-11-23T01:32:37.6523131Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6523361Z                 'code': None,
2022-11-23T01:32:37.6523661Z                 'obj_weakref': <weakref at 0x7f71062691d0; to 'Tensor' at 0x7f7106373350>
2022-11-23T01:32:37.6524066Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6524302Z             }
2022-11-23T01:32:37.6524459Z             
2022-11-23T01:32:37.6524607Z  - 
2022-11-23T01:32:37.6524816Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6524995Z             {
2022-11-23T01:32:37.6525211Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6525504Z                 'code': ['___check_obj_id(model, 140124114208464)'],
2022-11-23T01:32:37.6525839Z                 'obj_weakref': <weakref at 0x7f7129f5af50; to 'M' at 0x7f71300d46d0>
2022-11-23T01:32:37.6526192Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.6526414Z             }
2022-11-23T01:32:37.6526570Z             
2022-11-23T01:32:37.6526721Z  - 
2022-11-23T01:32:37.6526928Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6527108Z             {
2022-11-23T01:32:37.6527324Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6527660Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6527945Z                 'obj_weakref': None
2022-11-23T01:32:37.6528267Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6528496Z             }
2022-11-23T01:32:37.6528656Z             
2022-11-23T01:32:37.6528821Z  - 
2022-11-23T01:32:37.6529052Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.6529252Z             {
2022-11-23T01:32:37.6529464Z                 'guard_types': None,
2022-11-23T01:32:37.6529672Z                 'code': None,
2022-11-23T01:32:37.6529892Z                 'obj_weakref': None
2022-11-23T01:32:37.6530127Z                 'guarded_class': None
2022-11-23T01:32:37.6530290Z             }
2022-11-23T01:32:37.6530447Z             
2022-11-23T01:32:37.6530604Z  - 
2022-11-23T01:32:37.6530847Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.6531055Z             {
2022-11-23T01:32:37.6531267Z                 'guard_types': None,
2022-11-23T01:32:37.6531473Z                 'code': None,
2022-11-23T01:32:37.6531696Z                 'obj_weakref': None
2022-11-23T01:32:37.6532018Z                 'guarded_class': None
2022-11-23T01:32:37.6532277Z             }
2022-11-23T01:32:37.6532437Z             
2022-11-23T01:32:37.6532806Z [2022-11-23 01:22:46,817] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 241
2022-11-23T01:32:37.6533355Z [2022-11-23 01:22:46,830] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wx/cwxkqc4f56idma2s4ojmo6orryr2hbcokj7f73zk4obac6x6wyym.py
2022-11-23T01:32:37.6533923Z [2022-11-23 01:22:46,830] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 241
2022-11-23T01:32:37.6534358Z [2022-11-23 01:22:46,839] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6534800Z [2022-11-23 01:22:46,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6535212Z [2022-11-23 01:22:46,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6535625Z [2022-11-23 01:22:46,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6536090Z [2022-11-23 01:22:46,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6536614Z [2022-11-23 01:22:46,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6537173Z [2022-11-23 01:22:46,840] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.6537497Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6537711Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.6537921Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6538113Z                6 CALL_METHOD              1
2022-11-23T01:32:37.6538324Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.6538445Z 
2022-11-23T01:32:37.6538539Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6538744Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.6538954Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6539162Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.6539349Z               18 CALL_METHOD              2
2022-11-23T01:32:37.6539551Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.6539667Z 
2022-11-23T01:32:37.6539755Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6539933Z               24 RETURN_VALUE
2022-11-23T01:32:37.6540100Z  
2022-11-23T01:32:37.6540189Z 
2022-11-23T01:32:37.6540461Z [2022-11-23 01:22:46,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.6540882Z [2022-11-23 01:22:46,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6541287Z [2022-11-23 01:22:46,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.6541719Z [2022-11-23 01:22:46,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.6542175Z [2022-11-23 01:22:46,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.6542615Z [2022-11-23 01:22:46,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6543052Z [2022-11-23 01:22:46,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.6543459Z [2022-11-23 01:22:46,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6543874Z [2022-11-23 01:22:46,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.6544303Z [2022-11-23 01:22:46,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.6544886Z [2022-11-23 01:22:46,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.6545405Z [2022-11-23 01:22:46,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6545998Z [2022-11-23 01:22:46,849] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f64e1810, file "inductor/test_torchinductor.py", line 111> 
2022-11-23T01:32:37.6546323Z  111           0 LOAD_FAST                0 (x)
2022-11-23T01:32:37.6546523Z               2 LOAD_METHOD              0 (sub)
2022-11-23T01:32:37.6546737Z               4 LOAD_FAST                1 (y)
2022-11-23T01:32:37.6546943Z               6 CALL_METHOD              1
2022-11-23T01:32:37.6547125Z               8 RETURN_VALUE
2022-11-23T01:32:37.6547299Z  
2022-11-23T01:32:37.6547390Z 
2022-11-23T01:32:37.6547605Z [2022-11-23 01:22:46,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6548003Z [2022-11-23 01:22:46,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable()]
2022-11-23T01:32:37.6548461Z [2022-11-23 01:22:46,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub)]
2022-11-23T01:32:37.6548970Z [2022-11-23 01:22:46,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub), TensorVariable()]
2022-11-23T01:32:37.6549493Z [2022-11-23 01:22:46,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6549999Z [2022-11-23 01:22:46,852] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f64e1810, file "inductor/test_torchinductor.py", line 111>
2022-11-23T01:32:37.6550474Z [2022-11-23 01:22:46,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6550925Z [2022-11-23 01:22:46,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.6551339Z [2022-11-23 01:22:46,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6551734Z [2022-11-23 01:22:46,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6552264Z [2022-11-23 01:22:46,853] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.6552744Z [2022-11-23 01:22:46,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6553169Z [2022-11-23 01:22:46,853] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6553589Z [2022-11-23 01:22:46,855] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6554031Z [2022-11-23 01:22:46,865] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6554408Z [2022-11-23 01:22:46,866] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6554682Z  __compiled_fn_249 <eval_with_key>.1555 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6554930Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6555135Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.6555370Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.6555602Z call_method, sub, sub, (model_linear, ex_1_), {}
2022-11-23T01:32:37.6555828Z output, output, output, ((sub,),), {}
2022-11-23T01:32:37.6555958Z 
2022-11-23T01:32:37.6556238Z [2022-11-23 01:22:46,866] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6556525Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6556735Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6556979Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6557306Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6557505Z               8 RETURN_VALUE
2022-11-23T01:32:37.6557619Z 
2022-11-23T01:32:37.6557681Z  
2022-11-23T01:32:37.6558052Z [2022-11-23 01:22:46,866] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6558353Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_249)
2022-11-23T01:32:37.6558629Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6558841Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6559025Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6559224Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6559433Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.6559612Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.6559811Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.6560020Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6560204Z              18 RETURN_VALUE
2022-11-23T01:32:37.6560324Z 
2022-11-23T01:32:37.6560385Z  
2022-11-23T01:32:37.6560654Z [2022-11-23 01:22:46,868] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6560870Z  - 
2022-11-23T01:32:37.6561063Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6561243Z             {
2022-11-23T01:32:37.6561475Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6561773Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.6562034Z                 'obj_weakref': None
2022-11-23T01:32:37.6562373Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6562591Z             }
2022-11-23T01:32:37.6562749Z             
2022-11-23T01:32:37.6562909Z  - 
2022-11-23T01:32:37.6563106Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6563285Z             {
2022-11-23T01:32:37.6563523Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6563742Z                 'code': None,
2022-11-23T01:32:37.6564059Z                 'obj_weakref': <weakref at 0x7f70f2e17770; to 'Tensor' at 0x7f71069b2e90>
2022-11-23T01:32:37.6564468Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6564696Z             }
2022-11-23T01:32:37.6564851Z             
2022-11-23T01:32:37.6565010Z  - 
2022-11-23T01:32:37.6565210Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.6565392Z             {
2022-11-23T01:32:37.6565625Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6565858Z                 'code': None,
2022-11-23T01:32:37.6566160Z                 'obj_weakref': <weakref at 0x7f71069bf590; to 'Tensor' at 0x7f70f2d80b30>
2022-11-23T01:32:37.6566563Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6566806Z             }
2022-11-23T01:32:37.6566949Z             
2022-11-23T01:32:37.6567110Z  - 
2022-11-23T01:32:37.6567314Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6567480Z             {
2022-11-23T01:32:37.6567705Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6567995Z                 'code': ['___check_obj_id(model, 140123419085264)'],
2022-11-23T01:32:37.6568313Z                 'obj_weakref': <weakref at 0x7f7106e15a10; to 'M' at 0x7f71069e89d0>
2022-11-23T01:32:37.6568681Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.6568907Z             }
2022-11-23T01:32:37.6569052Z             
2022-11-23T01:32:37.6569215Z  - 
2022-11-23T01:32:37.6569424Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6569591Z             {
2022-11-23T01:32:37.6569821Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6570156Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6570499Z                 'obj_weakref': None
2022-11-23T01:32:37.6570822Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6571051Z             }
2022-11-23T01:32:37.6571213Z             
2022-11-23T01:32:37.6571364Z  - 
2022-11-23T01:32:37.6571609Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.6571809Z             {
2022-11-23T01:32:37.6572044Z                 'guard_types': None,
2022-11-23T01:32:37.6572267Z                 'code': None,
2022-11-23T01:32:37.6572493Z                 'obj_weakref': None
2022-11-23T01:32:37.6572713Z                 'guarded_class': None
2022-11-23T01:32:37.6572891Z             }
2022-11-23T01:32:37.6573045Z             
2022-11-23T01:32:37.6573191Z  - 
2022-11-23T01:32:37.6573448Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.6573656Z             {
2022-11-23T01:32:37.6573856Z                 'guard_types': None,
2022-11-23T01:32:37.6574085Z                 'code': None,
2022-11-23T01:32:37.6574308Z                 'obj_weakref': None
2022-11-23T01:32:37.6574527Z                 'guarded_class': None
2022-11-23T01:32:37.6574704Z             }
2022-11-23T01:32:37.6574860Z             
2022-11-23T01:32:37.6575202Z [2022-11-23 01:22:46,885] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 242
2022-11-23T01:32:37.6575774Z [2022-11-23 01:22:46,897] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ai/caieqefjptgezg5luglx4qda3cfvcrqvypuvdl7sg4azduqybbkb.py
2022-11-23T01:32:37.6576315Z [2022-11-23 01:22:46,898] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 242
2022-11-23T01:32:37.6576747Z [2022-11-23 01:22:46,907] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6577179Z [2022-11-23 01:22:46,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6577595Z [2022-11-23 01:22:46,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6578003Z [2022-11-23 01:22:46,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6578457Z [2022-11-23 01:22:46,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6578958Z [2022-11-23 01:22:46,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6579513Z [2022-11-23 01:22:46,908] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.6579836Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6580053Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.6580253Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6580462Z                6 CALL_METHOD              1
2022-11-23T01:32:37.6580667Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.6580790Z 
2022-11-23T01:32:37.6580869Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6581085Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.6581294Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6581484Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.6581687Z               18 CALL_METHOD              2
2022-11-23T01:32:37.6581891Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.6582011Z 
2022-11-23T01:32:37.6582096Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6582274Z               24 RETURN_VALUE
2022-11-23T01:32:37.6582442Z  
2022-11-23T01:32:37.6582533Z 
2022-11-23T01:32:37.6582803Z [2022-11-23 01:22:46,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.6583249Z [2022-11-23 01:22:46,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6583665Z [2022-11-23 01:22:46,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.6584093Z [2022-11-23 01:22:46,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.6584709Z [2022-11-23 01:22:46,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.6585150Z [2022-11-23 01:22:46,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6585590Z [2022-11-23 01:22:46,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.6585997Z [2022-11-23 01:22:46,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6586410Z [2022-11-23 01:22:46,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.6586835Z [2022-11-23 01:22:46,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.6587302Z [2022-11-23 01:22:46,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.6587822Z [2022-11-23 01:22:46,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6588389Z [2022-11-23 01:22:46,936] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f64adc00, file "inductor/test_torchinductor.py", line 112> 
2022-11-23T01:32:37.6588705Z  112           0 LOAD_FAST                0 (x)
2022-11-23T01:32:37.6588921Z               2 LOAD_METHOD              0 (sub_)
2022-11-23T01:32:37.6589139Z               4 LOAD_FAST                1 (y)
2022-11-23T01:32:37.6589336Z               6 CALL_METHOD              1
2022-11-23T01:32:37.6589540Z               8 RETURN_VALUE
2022-11-23T01:32:37.6589717Z  
2022-11-23T01:32:37.6589814Z 
2022-11-23T01:32:37.6590010Z [2022-11-23 01:22:46,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6590418Z [2022-11-23 01:22:46,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub_ [TensorVariable()]
2022-11-23T01:32:37.6590879Z [2022-11-23 01:22:46,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub_)]
2022-11-23T01:32:37.6591391Z [2022-11-23 01:22:46,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub_), TensorVariable()]
2022-11-23T01:32:37.6591843Z [2022-11-23 01:22:46,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6592370Z [2022-11-23 01:22:46,940] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f64adc00, file "inductor/test_torchinductor.py", line 112>
2022-11-23T01:32:37.6592847Z [2022-11-23 01:22:46,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6593302Z [2022-11-23 01:22:46,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.6593698Z [2022-11-23 01:22:46,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6594112Z [2022-11-23 01:22:46,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6594641Z [2022-11-23 01:22:46,940] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.6595121Z [2022-11-23 01:22:46,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6595531Z [2022-11-23 01:22:46,940] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6596009Z [2022-11-23 01:22:46,942] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6596448Z [2022-11-23 01:22:46,968] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6596823Z [2022-11-23 01:22:46,969] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6597098Z  __compiled_fn_250 <eval_with_key>.1561 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6597545Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6597757Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.6597978Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.6598226Z call_method, sub_, sub_, (model_linear, ex_1_), {}
2022-11-23T01:32:37.6598457Z output, output, output, ((sub_,),), {}
2022-11-23T01:32:37.6598589Z 
2022-11-23T01:32:37.6598861Z [2022-11-23 01:22:46,969] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6599163Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6599372Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6599586Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6599784Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6599982Z               8 RETURN_VALUE
2022-11-23T01:32:37.6600096Z 
2022-11-23T01:32:37.6600158Z  
2022-11-23T01:32:37.6600509Z [2022-11-23 01:22:46,969] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6600818Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_250)
2022-11-23T01:32:37.6601037Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6601231Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6601423Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6601624Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6601815Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.6602008Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.6602205Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.6602410Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6602592Z              18 RETURN_VALUE
2022-11-23T01:32:37.6602703Z 
2022-11-23T01:32:37.6602763Z  
2022-11-23T01:32:37.6603029Z [2022-11-23 01:22:46,972] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6603232Z  - 
2022-11-23T01:32:37.6603443Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6603506Z             {
2022-11-23T01:32:37.6603682Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6603871Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.6603978Z                 'obj_weakref': None
2022-11-23T01:32:37.6604200Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6604267Z             }
2022-11-23T01:32:37.6604332Z             
2022-11-23T01:32:37.6604398Z  - 
2022-11-23T01:32:37.6604522Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6604584Z             {
2022-11-23T01:32:37.6604712Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6604817Z                 'code': None,
2022-11-23T01:32:37.6605023Z                 'obj_weakref': <weakref at 0x7f71069b2e90; to 'Tensor' at 0x7f710639d410>
2022-11-23T01:32:37.6605273Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6605339Z             }
2022-11-23T01:32:37.6605402Z             
2022-11-23T01:32:37.6605470Z  - 
2022-11-23T01:32:37.6605580Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.6605641Z             {
2022-11-23T01:32:37.6605782Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6605888Z                 'code': None,
2022-11-23T01:32:37.6606094Z                 'obj_weakref': <weakref at 0x7f7106de8c50; to 'Tensor' at 0x7f7106757d70>
2022-11-23T01:32:37.6606404Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6606469Z             }
2022-11-23T01:32:37.6606518Z             
2022-11-23T01:32:37.6606586Z  - 
2022-11-23T01:32:37.6606704Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6606766Z             {
2022-11-23T01:32:37.6606898Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6607098Z                 'code': ['___check_obj_id(model, 140123421307600)'],
2022-11-23T01:32:37.6607301Z                 'obj_weakref': <weakref at 0x7f7106c376b0; to 'M' at 0x7f7106c072d0>
2022-11-23T01:32:37.6607500Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.6607563Z             }
2022-11-23T01:32:37.6607629Z             
2022-11-23T01:32:37.6607698Z  - 
2022-11-23T01:32:37.6607824Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6607890Z             {
2022-11-23T01:32:37.6608025Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6608230Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6608349Z                 'obj_weakref': None
2022-11-23T01:32:37.6608568Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6608630Z             }
2022-11-23T01:32:37.6608696Z             
2022-11-23T01:32:37.6608763Z  - 
2022-11-23T01:32:37.6608916Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.6608966Z             {
2022-11-23T01:32:37.6609085Z                 'guard_types': None,
2022-11-23T01:32:37.6609189Z                 'code': None,
2022-11-23T01:32:37.6609304Z                 'obj_weakref': None
2022-11-23T01:32:37.6609423Z                 'guarded_class': None
2022-11-23T01:32:37.6609484Z             }
2022-11-23T01:32:37.6609546Z             
2022-11-23T01:32:37.6609603Z  - 
2022-11-23T01:32:37.6609768Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.6609831Z             {
2022-11-23T01:32:37.6609948Z                 'guard_types': None,
2022-11-23T01:32:37.6610052Z                 'code': None,
2022-11-23T01:32:37.6610167Z                 'obj_weakref': None
2022-11-23T01:32:37.6610275Z                 'guarded_class': None
2022-11-23T01:32:37.6610336Z             }
2022-11-23T01:32:37.6610398Z             
2022-11-23T01:32:37.6610660Z [2022-11-23 01:22:47,006] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 243
2022-11-23T01:32:37.6610666Z 
2022-11-23T01:32:37.6610670Z 
2022-11-23T01:32:37.6610763Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6610831Z import torch
2022-11-23T01:32:37.6610898Z import random
2022-11-23T01:32:37.6611014Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6611123Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6611130Z 
2022-11-23T01:32:37.6611207Z aten = torch.ops.aten
2022-11-23T01:32:37.6611343Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6611433Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6611438Z 
2022-11-23T01:32:37.6611442Z 
2022-11-23T01:32:37.6611573Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6611776Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6611900Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.6612008Z                        const bfloat16* __restrict__ in_ptr0)
2022-11-23T01:32:37.6612056Z {
2022-11-23T01:32:37.6612154Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6612216Z     {
2022-11-23T01:32:37.6612292Z         #pragma omp for 
2022-11-23T01:32:37.6612375Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.6612437Z         {
2022-11-23T01:32:37.6612509Z             {
2022-11-23T01:32:37.6612562Z                 {
2022-11-23T01:32:37.6612749Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6612864Z                     auto tmp1 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.6613003Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.6613093Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6613159Z                 }
2022-11-23T01:32:37.6613222Z             }
2022-11-23T01:32:37.6613272Z         }
2022-11-23T01:32:37.6613337Z     }
2022-11-23T01:32:37.6613426Z }
2022-11-23T01:32:37.6613505Z ''')
2022-11-23T01:32:37.6613510Z 
2022-11-23T01:32:37.6613514Z 
2022-11-23T01:32:37.6613605Z async_compile.wait(globals())
2022-11-23T01:32:37.6613677Z del async_compile
2022-11-23T01:32:37.6613682Z 
2022-11-23T01:32:37.6613753Z def call(args):
2022-11-23T01:32:37.6613829Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:32:37.6613901Z     args.clear()
2022-11-23T01:32:37.6614103Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6614275Z     aten.addmm.out(arg1_1, as_strided(arg2_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.6614343Z     del arg0_1
2022-11-23T01:32:37.6614410Z     del arg1_1
2022-11-23T01:32:37.6614474Z     del arg2_1
2022-11-23T01:32:37.6614577Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.6614712Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.6614782Z     del arg3_1
2022-11-23T01:32:37.6614853Z     return (buf1, )
2022-11-23T01:32:37.6614858Z 
2022-11-23T01:32:37.6614862Z 
2022-11-23T01:32:37.6614938Z if __name__ == "__main__":
2022-11-23T01:32:37.6615050Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6615171Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6615373Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6615557Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6615761Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6615966Z     arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6616093Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:32:37.6616098Z 
2022-11-23T01:32:37.6616102Z 
2022-11-23T01:32:37.6616198Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6616267Z import torch
2022-11-23T01:32:37.6616336Z import random
2022-11-23T01:32:37.6616449Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6616556Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6616561Z 
2022-11-23T01:32:37.6616637Z aten = torch.ops.aten
2022-11-23T01:32:37.6616771Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6616862Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6616869Z 
2022-11-23T01:32:37.6616873Z 
2022-11-23T01:32:37.6617004Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6617206Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6617325Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.6617432Z                        const bfloat16* __restrict__ in_ptr0)
2022-11-23T01:32:37.6617479Z {
2022-11-23T01:32:37.6617578Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6617639Z     {
2022-11-23T01:32:37.6617714Z         #pragma omp for 
2022-11-23T01:32:37.6617796Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.6617859Z         {
2022-11-23T01:32:37.6617924Z             {
2022-11-23T01:32:37.6617975Z                 {
2022-11-23T01:32:37.6618093Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6618205Z                     auto tmp1 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.6618374Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.6618465Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6618529Z                 }
2022-11-23T01:32:37.6618591Z             }
2022-11-23T01:32:37.6618641Z         }
2022-11-23T01:32:37.6618702Z     }
2022-11-23T01:32:37.6618762Z }
2022-11-23T01:32:37.6618839Z ''')
2022-11-23T01:32:37.6618844Z 
2022-11-23T01:32:37.6618847Z 
2022-11-23T01:32:37.6618936Z async_compile.wait(globals())
2022-11-23T01:32:37.6619047Z del async_compile
2022-11-23T01:32:37.6619053Z 
2022-11-23T01:32:37.6619123Z def call(args):
2022-11-23T01:32:37.6619192Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.6619263Z     args.clear()
2022-11-23T01:32:37.6619463Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6619605Z     aten.mm.out(as_strided(arg1_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.6619673Z     del arg0_1
2022-11-23T01:32:37.6619739Z     del arg1_1
2022-11-23T01:32:37.6619856Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.6619974Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.6620040Z     del arg2_1
2022-11-23T01:32:37.6620109Z     return (buf1, )
2022-11-23T01:32:37.6620115Z 
2022-11-23T01:32:37.6620119Z 
2022-11-23T01:32:37.6620193Z if __name__ == "__main__":
2022-11-23T01:32:37.6620306Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6620428Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6620631Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6620835Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6621028Z     arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6621148Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.6621156Z 
2022-11-23T01:32:37.6621160Z 
2022-11-23T01:32:37.6621252Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6621322Z import torch
2022-11-23T01:32:37.6621392Z import random
2022-11-23T01:32:37.6621505Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6621625Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6621630Z 
2022-11-23T01:32:37.6621706Z aten = torch.ops.aten
2022-11-23T01:32:37.6621827Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6621916Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6621921Z 
2022-11-23T01:32:37.6621925Z 
2022-11-23T01:32:37.6622056Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6622258Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6622377Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.6622484Z                        const bfloat16* __restrict__ in_ptr0)
2022-11-23T01:32:37.6622547Z {
2022-11-23T01:32:37.6622643Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6622691Z     {
2022-11-23T01:32:37.6622767Z         #pragma omp for 
2022-11-23T01:32:37.6622848Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.6622911Z         {
2022-11-23T01:32:37.6622975Z             {
2022-11-23T01:32:37.6623039Z                 {
2022-11-23T01:32:37.6623146Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6623261Z                     auto tmp1 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.6623395Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.6623484Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6623548Z                 }
2022-11-23T01:32:37.6623610Z             }
2022-11-23T01:32:37.6623672Z         }
2022-11-23T01:32:37.6623720Z     }
2022-11-23T01:32:37.6623778Z }
2022-11-23T01:32:37.6623854Z ''')
2022-11-23T01:32:37.6623859Z 
2022-11-23T01:32:37.6623863Z 
2022-11-23T01:32:37.6623988Z async_compile.wait(globals())
2022-11-23T01:32:37.6624061Z del async_compile
2022-11-23T01:32:37.6624065Z 
2022-11-23T01:32:37.6624137Z def call(args):
2022-11-23T01:32:37.6624229Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:32:37.6624288Z     args.clear()
2022-11-23T01:32:37.6624576Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6624768Z     aten.addmm.out(arg1_1, arg2_1, as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.6624837Z     del arg0_1
2022-11-23T01:32:37.6624906Z     del arg1_1
2022-11-23T01:32:37.6624975Z     del arg2_1
2022-11-23T01:32:37.6625061Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.6625194Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.6625248Z     del arg3_1
2022-11-23T01:32:37.6625319Z     return (buf1, )
2022-11-23T01:32:37.6625324Z 
2022-11-23T01:32:37.6625328Z 
2022-11-23T01:32:37.6625404Z if __name__ == "__main__":
2022-11-23T01:32:37.6625521Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6625645Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6625851Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6626048Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6626232Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6626431Z     arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6626561Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:32:37.6626566Z 
2022-11-23T01:32:37.6626570Z 
2022-11-23T01:32:37.6626665Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6626737Z import torch
2022-11-23T01:32:37.6626808Z import random
2022-11-23T01:32:37.6626924Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6627044Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6627051Z 
2022-11-23T01:32:37.6627115Z aten = torch.ops.aten
2022-11-23T01:32:37.6627249Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6627341Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6627345Z 
2022-11-23T01:32:37.6627349Z 
2022-11-23T01:32:37.6627484Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6627690Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6627811Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.6627920Z                        const bfloat16* __restrict__ in_ptr0)
2022-11-23T01:32:37.6627983Z {
2022-11-23T01:32:37.6628068Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6628132Z     {
2022-11-23T01:32:37.6628211Z         #pragma omp for 
2022-11-23T01:32:37.6628294Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.6628357Z         {
2022-11-23T01:32:37.6628424Z             {
2022-11-23T01:32:37.6628490Z                 {
2022-11-23T01:32:37.6628596Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6628710Z                     auto tmp1 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.6628847Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.6628940Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6629006Z                 }
2022-11-23T01:32:37.6629068Z             }
2022-11-23T01:32:37.6629133Z         }
2022-11-23T01:32:37.6629183Z     }
2022-11-23T01:32:37.6629244Z }
2022-11-23T01:32:37.6629322Z ''')
2022-11-23T01:32:37.6629327Z 
2022-11-23T01:32:37.6629331Z 
2022-11-23T01:32:37.6629421Z async_compile.wait(globals())
2022-11-23T01:32:37.6629491Z del async_compile
2022-11-23T01:32:37.6629496Z 
2022-11-23T01:32:37.6629567Z def call(args):
2022-11-23T01:32:37.6629647Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.6629704Z     args.clear()
2022-11-23T01:32:37.6629911Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6630065Z     aten.mm.out(arg1_1, as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.6630132Z     del arg0_1
2022-11-23T01:32:37.6630197Z     del arg1_1
2022-11-23T01:32:37.6630281Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.6630410Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.6630464Z     del arg2_1
2022-11-23T01:32:37.6630566Z     return (buf1, )
2022-11-23T01:32:37.6630571Z 
2022-11-23T01:32:37.6630575Z 
2022-11-23T01:32:37.6630649Z if __name__ == "__main__":
2022-11-23T01:32:37.6630761Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6630881Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6631080Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6631275Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6631473Z     arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6631583Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.6631599Z 
2022-11-23T01:32:37.6631603Z 
2022-11-23T01:32:37.6631726Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6631794Z import torch
2022-11-23T01:32:37.6631865Z import random
2022-11-23T01:32:37.6631977Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6632097Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6632102Z 
2022-11-23T01:32:37.6632178Z aten = torch.ops.aten
2022-11-23T01:32:37.6632308Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6632385Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6632390Z 
2022-11-23T01:32:37.6632405Z 
2022-11-23T01:32:37.6632524Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6632724Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6632846Z extern "C" void kernel(const bfloat16* __restrict__ in_ptr0,
2022-11-23T01:32:37.6632952Z                        const bfloat16* __restrict__ in_ptr1,
2022-11-23T01:32:37.6633053Z                        bfloat16* __restrict__ out_ptr0)
2022-11-23T01:32:37.6633112Z {
2022-11-23T01:32:37.6633210Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6633259Z     {
2022-11-23T01:32:37.6633334Z         #pragma omp for 
2022-11-23T01:32:37.6633418Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.6633481Z         {
2022-11-23T01:32:37.6633543Z             {
2022-11-23T01:32:37.6633607Z                 {
2022-11-23T01:32:37.6633710Z                     auto tmp0 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.6633821Z                     auto tmp1 = static_cast<float>(in_ptr1[i0]);
2022-11-23T01:32:37.6633954Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.6634038Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6634103Z                 }
2022-11-23T01:32:37.6634166Z             }
2022-11-23T01:32:37.6634227Z         }
2022-11-23T01:32:37.6634274Z     }
2022-11-23T01:32:37.6634333Z }
2022-11-23T01:32:37.6634409Z ''')
2022-11-23T01:32:37.6634414Z 
2022-11-23T01:32:37.6634417Z 
2022-11-23T01:32:37.6634509Z async_compile.wait(globals())
2022-11-23T01:32:37.6634580Z del async_compile
2022-11-23T01:32:37.6634584Z 
2022-11-23T01:32:37.6634653Z def call(args):
2022-11-23T01:32:37.6634745Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:32:37.6634815Z     args.clear()
2022-11-23T01:32:37.6635000Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6635168Z     aten.addmm.out(arg1_1, as_strided(arg2_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.6635236Z     del arg0_1
2022-11-23T01:32:37.6635301Z     del arg1_1
2022-11-23T01:32:37.6635367Z     del arg2_1
2022-11-23T01:32:37.6635526Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.6635625Z     del arg3_1
2022-11-23T01:32:37.6635717Z     return (as_strided(buf0, (2, 3, 30), (90, 30, 1)), )
2022-11-23T01:32:37.6635722Z 
2022-11-23T01:32:37.6635737Z 
2022-11-23T01:32:37.6635800Z if __name__ == "__main__":
2022-11-23T01:32:37.6635911Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6636032Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6636260Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6636454Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6636657Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6636861Z     arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6636976Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:32:37.6637528Z [2022-11-23 01:22:49,571] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nh/cnhh43juuifceuipubla2jrdv4d6dlagxoemdhnwqyerkubhreod.py
2022-11-23T01:32:37.6637794Z [2022-11-23 01:22:49,571] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 243
2022-11-23T01:32:37.6638031Z [2022-11-23 01:22:49,585] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6638301Z [2022-11-23 01:22:49,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6638516Z [2022-11-23 01:22:49,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6638757Z [2022-11-23 01:22:49,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6639034Z [2022-11-23 01:22:49,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6639351Z [2022-11-23 01:22:49,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6639685Z [2022-11-23 01:22:49,586] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.6639766Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6639865Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.6639955Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6640044Z                6 CALL_METHOD              1
2022-11-23T01:32:37.6640136Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.6640141Z 
2022-11-23T01:32:37.6640231Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6640326Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.6640415Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6640494Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.6640581Z               18 CALL_METHOD              2
2022-11-23T01:32:37.6640670Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.6640675Z 
2022-11-23T01:32:37.6640759Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6640834Z               24 RETURN_VALUE
2022-11-23T01:32:37.6640894Z  
2022-11-23T01:32:37.6640899Z 
2022-11-23T01:32:37.6641171Z [2022-11-23 01:22:49,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.6641370Z [2022-11-23 01:22:49,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6641617Z [2022-11-23 01:22:49,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.6641855Z [2022-11-23 01:22:49,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.6642189Z [2022-11-23 01:22:49,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.6642423Z [2022-11-23 01:22:49,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6642687Z [2022-11-23 01:22:49,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.6642948Z [2022-11-23 01:22:49,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6643201Z [2022-11-23 01:22:49,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.6643448Z [2022-11-23 01:22:49,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.6643723Z [2022-11-23 01:22:49,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.6644023Z [2022-11-23 01:22:49,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6644358Z [2022-11-23 01:22:49,600] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f64adc00, file "inductor/test_torchinductor.py", line 112> 
2022-11-23T01:32:37.6644448Z  112           0 LOAD_FAST                0 (x)
2022-11-23T01:32:37.6644542Z               2 LOAD_METHOD              0 (sub_)
2022-11-23T01:32:37.6644636Z               4 LOAD_FAST                1 (y)
2022-11-23T01:32:37.6644725Z               6 CALL_METHOD              1
2022-11-23T01:32:37.6644801Z               8 RETURN_VALUE
2022-11-23T01:32:37.6644863Z  
2022-11-23T01:32:37.6644869Z 
2022-11-23T01:32:37.6645063Z [2022-11-23 01:22:49,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6645303Z [2022-11-23 01:22:49,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub_ [TensorVariable()]
2022-11-23T01:32:37.6645577Z [2022-11-23 01:22:49,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub_)]
2022-11-23T01:32:37.6645883Z [2022-11-23 01:22:49,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub_), TensorVariable()]
2022-11-23T01:32:37.6646130Z [2022-11-23 01:22:49,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6646470Z [2022-11-23 01:22:49,603] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f64adc00, file "inductor/test_torchinductor.py", line 112>
2022-11-23T01:32:37.6646708Z [2022-11-23 01:22:49,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6646971Z [2022-11-23 01:22:49,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.6647178Z [2022-11-23 01:22:49,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6647412Z [2022-11-23 01:22:49,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6647747Z [2022-11-23 01:22:49,603] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.6647988Z [2022-11-23 01:22:49,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6648222Z [2022-11-23 01:22:49,603] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6648471Z [2022-11-23 01:22:49,605] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6648716Z [2022-11-23 01:22:49,617] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6648900Z [2022-11-23 01:22:49,617] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6649068Z  __compiled_fn_251 <eval_with_key>.1567 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6649158Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6649229Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.6649343Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.6649448Z call_method, sub_, sub_, (model_linear, ex_1_), {}
2022-11-23T01:32:37.6649541Z output, output, output, ((sub_,),), {}
2022-11-23T01:32:37.6649546Z 
2022-11-23T01:32:37.6649847Z [2022-11-23 01:22:49,618] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6649938Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6650029Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6650120Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6650198Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6650272Z               8 RETURN_VALUE
2022-11-23T01:32:37.6650279Z 
2022-11-23T01:32:37.6650340Z  
2022-11-23T01:32:37.6650612Z [2022-11-23 01:22:49,618] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6650718Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_251)
2022-11-23T01:32:37.6650807Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6650895Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6650959Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6651048Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6651137Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.6651210Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.6651298Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.6651386Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6651459Z              18 RETURN_VALUE
2022-11-23T01:32:37.6651464Z 
2022-11-23T01:32:37.6651522Z  
2022-11-23T01:32:37.6651691Z [2022-11-23 01:22:49,620] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6651762Z  - 
2022-11-23T01:32:37.6651881Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6651944Z             {
2022-11-23T01:32:37.6652083Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6652269Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.6652386Z                 'obj_weakref': None
2022-11-23T01:32:37.6652598Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6652662Z             }
2022-11-23T01:32:37.6652726Z             
2022-11-23T01:32:37.6652793Z  - 
2022-11-23T01:32:37.6652915Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6652977Z             {
2022-11-23T01:32:37.6653105Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6653209Z                 'code': None,
2022-11-23T01:32:37.6653416Z                 'obj_weakref': <weakref at 0x7f71069ad170; to 'Tensor' at 0x7f712a54fbf0>
2022-11-23T01:32:37.6653666Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6653729Z             }
2022-11-23T01:32:37.6653792Z             
2022-11-23T01:32:37.6653860Z  - 
2022-11-23T01:32:37.6653969Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.6654033Z             {
2022-11-23T01:32:37.6654173Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6654281Z                 'code': None,
2022-11-23T01:32:37.6654486Z                 'obj_weakref': <weakref at 0x7f71069ad9b0; to 'Tensor' at 0x7f7106de8ef0>
2022-11-23T01:32:37.6654732Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6654795Z             }
2022-11-23T01:32:37.6654859Z             
2022-11-23T01:32:37.6654913Z  - 
2022-11-23T01:32:37.6655035Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6655097Z             {
2022-11-23T01:32:37.6655262Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6655430Z                 'code': ['___check_obj_id(model, 140123087882512)'],
2022-11-23T01:32:37.6655627Z                 'obj_weakref': <weakref at 0x7f7106c36e90; to 'M' at 0x7f70f2e0c910>
2022-11-23T01:32:37.6655836Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.6655887Z             }
2022-11-23T01:32:37.6655949Z             
2022-11-23T01:32:37.6656045Z  - 
2022-11-23T01:32:37.6656167Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6656229Z             {
2022-11-23T01:32:37.6656363Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6656577Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6656683Z                 'obj_weakref': None
2022-11-23T01:32:37.6656899Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6656963Z             }
2022-11-23T01:32:37.6657024Z             
2022-11-23T01:32:37.6657094Z  - 
2022-11-23T01:32:37.6657247Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.6657309Z             {
2022-11-23T01:32:37.6657415Z                 'guard_types': None,
2022-11-23T01:32:37.6657521Z                 'code': None,
2022-11-23T01:32:37.6657636Z                 'obj_weakref': None
2022-11-23T01:32:37.6657757Z                 'guarded_class': None
2022-11-23T01:32:37.6657821Z             }
2022-11-23T01:32:37.6657883Z             
2022-11-23T01:32:37.6657938Z  - 
2022-11-23T01:32:37.6658102Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.6658166Z             {
2022-11-23T01:32:37.6658282Z                 'guard_types': None,
2022-11-23T01:32:37.6658386Z                 'code': None,
2022-11-23T01:32:37.6658502Z                 'obj_weakref': None
2022-11-23T01:32:37.6658622Z                 'guarded_class': None
2022-11-23T01:32:37.6658673Z             }
2022-11-23T01:32:37.6658734Z             
2022-11-23T01:32:37.6658991Z [2022-11-23 01:22:49,641] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 244
2022-11-23T01:32:37.6659365Z [2022-11-23 01:22:49,659] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bb/cbbxfeb7bkf2r6mw5qvupngvgty5ajuhe6uiqnkcihjmipp6z7qz.py
2022-11-23T01:32:37.6659632Z [2022-11-23 01:22:49,659] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 244
2022-11-23T01:32:37.6659868Z [2022-11-23 01:22:49,669] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6660131Z [2022-11-23 01:22:49,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6660345Z [2022-11-23 01:22:49,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6660589Z [2022-11-23 01:22:49,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6660854Z [2022-11-23 01:22:49,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6661167Z [2022-11-23 01:22:49,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6661501Z [2022-11-23 01:22:49,670] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.6661596Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6661691Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.6661783Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6661874Z                6 CALL_METHOD              1
2022-11-23T01:32:37.6661964Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.6661969Z 
2022-11-23T01:32:37.6662085Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6662180Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.6662266Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6662352Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.6662439Z               18 CALL_METHOD              2
2022-11-23T01:32:37.6662526Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.6662531Z 
2022-11-23T01:32:37.6662644Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6662721Z               24 RETURN_VALUE
2022-11-23T01:32:37.6662768Z  
2022-11-23T01:32:37.6662773Z 
2022-11-23T01:32:37.6663047Z [2022-11-23 01:22:49,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.6663261Z [2022-11-23 01:22:49,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6663515Z [2022-11-23 01:22:49,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.6663760Z [2022-11-23 01:22:49,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.6664034Z [2022-11-23 01:22:49,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.6664273Z [2022-11-23 01:22:49,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6664625Z [2022-11-23 01:22:49,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.6664844Z [2022-11-23 01:22:49,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6665080Z [2022-11-23 01:22:49,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.6665329Z [2022-11-23 01:22:49,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.6665609Z [2022-11-23 01:22:49,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.6665925Z [2022-11-23 01:22:49,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6666261Z [2022-11-23 01:22:49,696] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f64adc00, file "inductor/test_torchinductor.py", line 112> 
2022-11-23T01:32:37.6666354Z  112           0 LOAD_FAST                0 (x)
2022-11-23T01:32:37.6666450Z               2 LOAD_METHOD              0 (sub_)
2022-11-23T01:32:37.6666541Z               4 LOAD_FAST                1 (y)
2022-11-23T01:32:37.6666630Z               6 CALL_METHOD              1
2022-11-23T01:32:37.6666694Z               8 RETURN_VALUE
2022-11-23T01:32:37.6666755Z  
2022-11-23T01:32:37.6666760Z 
2022-11-23T01:32:37.6666969Z [2022-11-23 01:22:49,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6667213Z [2022-11-23 01:22:49,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub_ [TensorVariable()]
2022-11-23T01:32:37.6667486Z [2022-11-23 01:22:49,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub_)]
2022-11-23T01:32:37.6667795Z [2022-11-23 01:22:49,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub_), TensorVariable()]
2022-11-23T01:32:37.6668040Z [2022-11-23 01:22:49,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6668379Z [2022-11-23 01:22:49,699] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f64adc00, file "inductor/test_torchinductor.py", line 112>
2022-11-23T01:32:37.6668617Z [2022-11-23 01:22:49,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6668915Z [2022-11-23 01:22:49,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.6669125Z [2022-11-23 01:22:49,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6669375Z [2022-11-23 01:22:49,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6669744Z [2022-11-23 01:22:49,699] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.6669990Z [2022-11-23 01:22:49,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6670224Z [2022-11-23 01:22:49,700] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6670480Z [2022-11-23 01:22:49,701] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6670730Z [2022-11-23 01:22:49,726] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6670919Z [2022-11-23 01:22:49,727] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6671041Z  __compiled_fn_252 <eval_with_key>.1573 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6671131Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6671219Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.6671337Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.6671444Z call_method, sub_, sub_, (model_linear, ex_1_), {}
2022-11-23T01:32:37.6671540Z output, output, output, ((sub_,),), {}
2022-11-23T01:32:37.6671549Z 
2022-11-23T01:32:37.6671825Z [2022-11-23 01:22:49,728] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6671920Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6671998Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6672093Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6672184Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6672262Z               8 RETURN_VALUE
2022-11-23T01:32:37.6672267Z 
2022-11-23T01:32:37.6672330Z  
2022-11-23T01:32:37.6672601Z [2022-11-23 01:22:49,728] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6672711Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_252)
2022-11-23T01:32:37.6672792Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6672883Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6672960Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6673047Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6673135Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.6673209Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.6673296Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.6673377Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6673450Z              18 RETURN_VALUE
2022-11-23T01:32:37.6673455Z 
2022-11-23T01:32:37.6673517Z  
2022-11-23T01:32:37.6673697Z [2022-11-23 01:22:49,730] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6673765Z  - 
2022-11-23T01:32:37.6673881Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6673944Z             {
2022-11-23T01:32:37.6674070Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6674260Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.6674378Z                 'obj_weakref': None
2022-11-23T01:32:37.6674599Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6674664Z             }
2022-11-23T01:32:37.6674726Z             
2022-11-23T01:32:37.6674793Z  - 
2022-11-23T01:32:37.6674904Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6674966Z             {
2022-11-23T01:32:37.6675142Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6675247Z                 'code': None,
2022-11-23T01:32:37.6675453Z                 'obj_weakref': <weakref at 0x7f710639d410; to 'Tensor' at 0x7f71069ad3b0>
2022-11-23T01:32:37.6675698Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6675762Z             }
2022-11-23T01:32:37.6675824Z             
2022-11-23T01:32:37.6675880Z  - 
2022-11-23T01:32:37.6676029Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.6676092Z             {
2022-11-23T01:32:37.6676234Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6676340Z                 'code': None,
2022-11-23T01:32:37.6676541Z                 'obj_weakref': <weakref at 0x7f7106717230; to 'Tensor' at 0x7f7106789a70>
2022-11-23T01:32:37.6676786Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6676839Z             }
2022-11-23T01:32:37.6676899Z             
2022-11-23T01:32:37.6676966Z  - 
2022-11-23T01:32:37.6677084Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6677271Z             {
2022-11-23T01:32:37.6677410Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6677566Z                 'code': ['___check_obj_id(model, 140123423782160)'],
2022-11-23T01:32:37.6677767Z                 'obj_weakref': <weakref at 0x7f7106e88dd0; to 'M' at 0x7f7106e63510>
2022-11-23T01:32:37.6677985Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.6678050Z             }
2022-11-23T01:32:37.6678113Z             
2022-11-23T01:32:37.6678183Z  - 
2022-11-23T01:32:37.6678304Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6678356Z             {
2022-11-23T01:32:37.6678492Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6678710Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6678834Z                 'obj_weakref': None
2022-11-23T01:32:37.6679053Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6679117Z             }
2022-11-23T01:32:37.6679181Z             
2022-11-23T01:32:37.6679249Z  - 
2022-11-23T01:32:37.6679390Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.6679456Z             {
2022-11-23T01:32:37.6679576Z                 'guard_types': None,
2022-11-23T01:32:37.6679682Z                 'code': None,
2022-11-23T01:32:37.6679796Z                 'obj_weakref': None
2022-11-23T01:32:37.6679914Z                 'guarded_class': None
2022-11-23T01:32:37.6679964Z             }
2022-11-23T01:32:37.6680026Z             
2022-11-23T01:32:37.6680092Z  - 
2022-11-23T01:32:37.6680257Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.6680319Z             {
2022-11-23T01:32:37.6680436Z                 'guard_types': None,
2022-11-23T01:32:37.6680542Z                 'code': None,
2022-11-23T01:32:37.6680646Z                 'obj_weakref': None
2022-11-23T01:32:37.6680767Z                 'guarded_class': None
2022-11-23T01:32:37.6680829Z             }
2022-11-23T01:32:37.6680889Z             
2022-11-23T01:32:37.6681146Z [2022-11-23 01:22:49,760] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 245
2022-11-23T01:32:37.6681511Z [2022-11-23 01:22:49,773] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wx/cwxkqc4f56idma2s4ojmo6orryr2hbcokj7f73zk4obac6x6wyym.py
2022-11-23T01:32:37.6681775Z [2022-11-23 01:22:49,774] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 245
2022-11-23T01:32:37.6682009Z [2022-11-23 01:22:49,782] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6682263Z [2022-11-23 01:22:49,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6682532Z [2022-11-23 01:22:49,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6682774Z [2022-11-23 01:22:49,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6683049Z [2022-11-23 01:22:49,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6683396Z [2022-11-23 01:22:49,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6683734Z [2022-11-23 01:22:49,784] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629> 
2022-11-23T01:32:37.6683829Z  1630           0 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6683927Z                2 LOAD_METHOD              0 (linear)
2022-11-23T01:32:37.6684019Z                4 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6684097Z                6 CALL_METHOD              1
2022-11-23T01:32:37.6684188Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.6684193Z 
2022-11-23T01:32:37.6684289Z 1631          10 LOAD_FAST                0 (self)
2022-11-23T01:32:37.6684387Z               12 LOAD_METHOD              1 (eltwise)
2022-11-23T01:32:37.6684477Z               14 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6684568Z               16 LOAD_FAST                2 (y)
2022-11-23T01:32:37.6684657Z               18 CALL_METHOD              2
2022-11-23T01:32:37.6684732Z               20 STORE_FAST               1 (x)
2022-11-23T01:32:37.6684751Z 
2022-11-23T01:32:37.6684824Z 1632          22 LOAD_FAST                1 (x)
2022-11-23T01:32:37.6684899Z               24 RETURN_VALUE
2022-11-23T01:32:37.6684959Z  
2022-11-23T01:32:37.6684964Z 
2022-11-23T01:32:37.6685231Z [2022-11-23 01:22:49,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630
2022-11-23T01:32:37.6685445Z [2022-11-23 01:22:49,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6685691Z [2022-11-23 01:22:49,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()]
2022-11-23T01:32:37.6685931Z [2022-11-23 01:22:49,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.6686207Z [2022-11-23 01:22:49,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.6686433Z [2022-11-23 01:22:49,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6686696Z [2022-11-23 01:22:49,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631
2022-11-23T01:32:37.6686906Z [2022-11-23 01:22:49,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self []
2022-11-23T01:32:37.6687154Z [2022-11-23 01:22:49,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()]
2022-11-23T01:32:37.6687405Z [2022-11-23 01:22:49,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()]
2022-11-23T01:32:37.6687679Z [2022-11-23 01:22:49,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:37.6687991Z [2022-11-23 01:22:49,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.6688324Z [2022-11-23 01:22:49,793] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <lambda> at 0x7f71f64adc00, file "inductor/test_torchinductor.py", line 112> 
2022-11-23T01:32:37.6688413Z  112           0 LOAD_FAST                0 (x)
2022-11-23T01:32:37.6688495Z               2 LOAD_METHOD              0 (sub_)
2022-11-23T01:32:37.6688585Z               4 LOAD_FAST                1 (y)
2022-11-23T01:32:37.6688671Z               6 CALL_METHOD              1
2022-11-23T01:32:37.6688782Z               8 RETURN_VALUE
2022-11-23T01:32:37.6688842Z  
2022-11-23T01:32:37.6688847Z 
2022-11-23T01:32:37.6689053Z [2022-11-23 01:22:49,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6689290Z [2022-11-23 01:22:49,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub_ [TensorVariable()]
2022-11-23T01:32:37.6689597Z [2022-11-23 01:22:49,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub_)]
2022-11-23T01:32:37.6689889Z [2022-11-23 01:22:49,793] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub_), TensorVariable()]
2022-11-23T01:32:37.6690130Z [2022-11-23 01:22:49,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6690466Z [2022-11-23 01:22:49,795] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <lambda> at 0x7f71f64adc00, file "inductor/test_torchinductor.py", line 112>
2022-11-23T01:32:37.6690708Z [2022-11-23 01:22:49,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.6690971Z [2022-11-23 01:22:49,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632
2022-11-23T01:32:37.6691178Z [2022-11-23 01:22:49,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.6691424Z [2022-11-23 01:22:49,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6691759Z [2022-11-23 01:22:49,795] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f647fa50, file "inductor/test_torchinductor.py", line 1629>
2022-11-23T01:32:37.6692003Z [2022-11-23 01:22:49,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6692235Z [2022-11-23 01:22:49,795] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6692477Z [2022-11-23 01:22:49,797] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6692723Z [2022-11-23 01:22:49,806] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6692908Z [2022-11-23 01:22:49,807] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6693042Z  __compiled_fn_253 <eval_with_key>.1579 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6693131Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6693216Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.6693332Z call_module, model_linear, model_linear, (ex_0_,), {}
2022-11-23T01:32:37.6693438Z call_method, sub_, sub_, (model_linear, ex_1_), {}
2022-11-23T01:32:37.6693518Z output, output, output, ((sub_,),), {}
2022-11-23T01:32:37.6693523Z 
2022-11-23T01:32:37.6693794Z [2022-11-23 01:22:49,807] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6693887Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6693975Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6694065Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6694157Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6694231Z               8 RETURN_VALUE
2022-11-23T01:32:37.6694236Z 
2022-11-23T01:32:37.6694295Z  
2022-11-23T01:32:37.6694555Z [2022-11-23 01:22:49,808] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6694661Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_253)
2022-11-23T01:32:37.6694749Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6694836Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6694912Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6694997Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6695124Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.6695186Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.6695272Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.6695362Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6695436Z              18 RETURN_VALUE
2022-11-23T01:32:37.6695441Z 
2022-11-23T01:32:37.6695500Z  
2022-11-23T01:32:37.6695679Z [2022-11-23 01:22:49,810] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6695751Z  - 
2022-11-23T01:32:37.6695891Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6695955Z             {
2022-11-23T01:32:37.6696094Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6696278Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.6696395Z                 'obj_weakref': None
2022-11-23T01:32:37.6696617Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6696679Z             }
2022-11-23T01:32:37.6696732Z             
2022-11-23T01:32:37.6696796Z  - 
2022-11-23T01:32:37.6696919Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6696981Z             {
2022-11-23T01:32:37.6697122Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6697228Z                 'code': None,
2022-11-23T01:32:37.6697432Z                 'obj_weakref': <weakref at 0x7f7106269e30; to 'Tensor' at 0x7f7106e258f0>
2022-11-23T01:32:37.6697669Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6697732Z             }
2022-11-23T01:32:37.6697793Z             
2022-11-23T01:32:37.6697860Z  - 
2022-11-23T01:32:37.6697981Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.6698044Z             {
2022-11-23T01:32:37.6698184Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6698277Z                 'code': None,
2022-11-23T01:32:37.6698478Z                 'obj_weakref': <weakref at 0x7f70f2e09350; to 'Tensor' at 0x7f7106c52230>
2022-11-23T01:32:37.6698727Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6698789Z             }
2022-11-23T01:32:37.6698851Z             
2022-11-23T01:32:37.6698921Z  - 
2022-11-23T01:32:37.6699037Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6699087Z             {
2022-11-23T01:32:37.6699220Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6699390Z                 'code': ['___check_obj_id(model, 140123087882512)'],
2022-11-23T01:32:37.6699589Z                 'obj_weakref': <weakref at 0x7f71070c8650; to 'M' at 0x7f70f2e0c910>
2022-11-23T01:32:37.6699799Z                 'guarded_class': <weakref at 0x7f710675ea70; to 'type' at 0x619001c7f5a0 (M)>
2022-11-23T01:32:37.6699861Z             }
2022-11-23T01:32:37.6699922Z             
2022-11-23T01:32:37.6699977Z  - 
2022-11-23T01:32:37.6700097Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6700160Z             {
2022-11-23T01:32:37.6700295Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6700513Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6700629Z                 'obj_weakref': None
2022-11-23T01:32:37.6700848Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6700909Z             }
2022-11-23T01:32:37.6700961Z             
2022-11-23T01:32:37.6701028Z  - 
2022-11-23T01:32:37.6701185Z             local_nn_module 'model.linear' NN_MODULE
2022-11-23T01:32:37.6701247Z             {
2022-11-23T01:32:37.6701365Z                 'guard_types': None,
2022-11-23T01:32:37.6701468Z                 'code': None,
2022-11-23T01:32:37.6701572Z                 'obj_weakref': None
2022-11-23T01:32:37.6701691Z                 'guarded_class': None
2022-11-23T01:32:37.6701753Z             }
2022-11-23T01:32:37.6701814Z             
2022-11-23T01:32:37.6701928Z  - 
2022-11-23T01:32:37.6702094Z             local_nn_module 'model.eltwise' FUNCTION_MATCH
2022-11-23T01:32:37.6702155Z             {
2022-11-23T01:32:37.6702259Z                 'guard_types': None,
2022-11-23T01:32:37.6702363Z                 'code': None,
2022-11-23T01:32:37.6702479Z                 'obj_weakref': None
2022-11-23T01:32:37.6702597Z                 'guarded_class': None
2022-11-23T01:32:37.6702659Z             }
2022-11-23T01:32:37.6702720Z             
2022-11-23T01:32:37.6703007Z [2022-11-23 01:22:49,825] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 246
2022-11-23T01:32:37.6703371Z [2022-11-23 01:22:49,837] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ai/caieqefjptgezg5luglx4qda3cfvcrqvypuvdl7sg4azduqybbkb.py
2022-11-23T01:32:37.6703637Z [2022-11-23 01:22:49,838] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 246
2022-11-23T01:32:37.6703642Z 
2022-11-23T01:32:37.6703649Z 
2022-11-23T01:32:37.6703741Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6703809Z import torch
2022-11-23T01:32:37.6703877Z import random
2022-11-23T01:32:37.6703990Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6704109Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6704114Z 
2022-11-23T01:32:37.6704192Z aten = torch.ops.aten
2022-11-23T01:32:37.6704312Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6704405Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6704410Z 
2022-11-23T01:32:37.6704414Z 
2022-11-23T01:32:37.6704631Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6704837Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6704962Z extern "C" void kernel(const bfloat16* __restrict__ in_ptr0,
2022-11-23T01:32:37.6705070Z                        const bfloat16* __restrict__ in_ptr1,
2022-11-23T01:32:37.6705172Z                        bfloat16* __restrict__ out_ptr0)
2022-11-23T01:32:37.6705237Z {
2022-11-23T01:32:37.6705320Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6705381Z     {
2022-11-23T01:32:37.6705458Z         #pragma omp for 
2022-11-23T01:32:37.6705542Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.6705605Z         {
2022-11-23T01:32:37.6705670Z             {
2022-11-23T01:32:37.6705735Z                 {
2022-11-23T01:32:37.6705842Z                     auto tmp0 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.6705956Z                     auto tmp1 = static_cast<float>(in_ptr1[i0]);
2022-11-23T01:32:37.6706094Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.6706180Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6706246Z                 }
2022-11-23T01:32:37.6706311Z             }
2022-11-23T01:32:37.6706373Z         }
2022-11-23T01:32:37.6706421Z     }
2022-11-23T01:32:37.6706483Z }
2022-11-23T01:32:37.6706561Z ''')
2022-11-23T01:32:37.6706569Z 
2022-11-23T01:32:37.6706573Z 
2022-11-23T01:32:37.6706663Z async_compile.wait(globals())
2022-11-23T01:32:37.6706735Z del async_compile
2022-11-23T01:32:37.6706740Z 
2022-11-23T01:32:37.6706811Z def call(args):
2022-11-23T01:32:37.6706894Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.6706951Z     args.clear()
2022-11-23T01:32:37.6707151Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6707298Z     aten.mm.out(as_strided(arg1_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.6707367Z     del arg0_1
2022-11-23T01:32:37.6707435Z     del arg1_1
2022-11-23T01:32:37.6707599Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.6707666Z     del arg2_1
2022-11-23T01:32:37.6707757Z     return (as_strided(buf0, (2, 3, 30), (90, 30, 1)), )
2022-11-23T01:32:37.6707776Z 
2022-11-23T01:32:37.6707780Z 
2022-11-23T01:32:37.6707844Z if __name__ == "__main__":
2022-11-23T01:32:37.6707993Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6708117Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6708319Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6708527Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6708733Z     arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6708910Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.6708916Z 
2022-11-23T01:32:37.6708919Z 
2022-11-23T01:32:37.6709012Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6709069Z import torch
2022-11-23T01:32:37.6709141Z import random
2022-11-23T01:32:37.6709257Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6709378Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6709382Z 
2022-11-23T01:32:37.6709463Z aten = torch.ops.aten
2022-11-23T01:32:37.6709598Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6709690Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6709695Z 
2022-11-23T01:32:37.6709699Z 
2022-11-23T01:32:37.6709833Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6710023Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6710147Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.6710256Z                        const bfloat16* __restrict__ in_ptr0)
2022-11-23T01:32:37.6710319Z {
2022-11-23T01:32:37.6710418Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6710481Z     {
2022-11-23T01:32:37.6710560Z         #pragma omp for 
2022-11-23T01:32:37.6710629Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.6710693Z         {
2022-11-23T01:32:37.6710757Z             {
2022-11-23T01:32:37.6710823Z                 {
2022-11-23T01:32:37.6710942Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6711060Z                     auto tmp1 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.6711197Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.6711274Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6711341Z                 }
2022-11-23T01:32:37.6711404Z             }
2022-11-23T01:32:37.6711467Z         }
2022-11-23T01:32:37.6711529Z     }
2022-11-23T01:32:37.6711588Z }
2022-11-23T01:32:37.6711653Z ''')
2022-11-23T01:32:37.6711670Z 
2022-11-23T01:32:37.6711674Z 
2022-11-23T01:32:37.6711750Z async_compile.wait(globals())
2022-11-23T01:32:37.6711821Z del async_compile
2022-11-23T01:32:37.6711825Z 
2022-11-23T01:32:37.6711897Z def call(args):
2022-11-23T01:32:37.6711988Z     arg0_1, arg1_1, arg2_1, arg3_1 = args
2022-11-23T01:32:37.6712058Z     args.clear()
2022-11-23T01:32:37.6712256Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6712407Z     aten.addmm.out(arg1_1, arg2_1, as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.6712461Z     del arg0_1
2022-11-23T01:32:37.6712527Z     del arg1_1
2022-11-23T01:32:37.6712590Z     del arg2_1
2022-11-23T01:32:37.6712674Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.6712803Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg3_1.data_ptr()))
2022-11-23T01:32:37.6712868Z     del arg3_1
2022-11-23T01:32:37.6712938Z     return (buf1, )
2022-11-23T01:32:37.6712945Z 
2022-11-23T01:32:37.6712949Z 
2022-11-23T01:32:37.6713013Z if __name__ == "__main__":
2022-11-23T01:32:37.6713124Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6713244Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6713444Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6713636Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6713862Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6714056Z     arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6714183Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1]))
2022-11-23T01:32:37.6714188Z 
2022-11-23T01:32:37.6714192Z 
2022-11-23T01:32:37.6714285Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6714343Z import torch
2022-11-23T01:32:37.6714410Z import random
2022-11-23T01:32:37.6714550Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6714669Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6714673Z 
2022-11-23T01:32:37.6714750Z aten = torch.ops.aten
2022-11-23T01:32:37.6714882Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6714972Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6714978Z 
2022-11-23T01:32:37.6714982Z 
2022-11-23T01:32:37.6715113Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6715304Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6715422Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.6715531Z                        const bfloat16* __restrict__ in_ptr0)
2022-11-23T01:32:37.6715589Z {
2022-11-23T01:32:37.6715687Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6715748Z     {
2022-11-23T01:32:37.6715823Z         #pragma omp for 
2022-11-23T01:32:37.6715894Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.6715955Z         {
2022-11-23T01:32:37.6716017Z             {
2022-11-23T01:32:37.6716080Z                 {
2022-11-23T01:32:37.6716197Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6716312Z                     auto tmp1 = static_cast<float>(in_ptr0[i0]);
2022-11-23T01:32:37.6716436Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.6716525Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6716590Z                 }
2022-11-23T01:32:37.6716651Z             }
2022-11-23T01:32:37.6716711Z         }
2022-11-23T01:32:37.6716771Z     }
2022-11-23T01:32:37.6716830Z }
2022-11-23T01:32:37.6716894Z ''')
2022-11-23T01:32:37.6716901Z 
2022-11-23T01:32:37.6716916Z 
2022-11-23T01:32:37.6716993Z async_compile.wait(globals())
2022-11-23T01:32:37.6717063Z del async_compile
2022-11-23T01:32:37.6717068Z 
2022-11-23T01:32:37.6717251Z def call(args):
2022-11-23T01:32:37.6717338Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.6717409Z     args.clear()
2022-11-23T01:32:37.6717610Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6717730Z     aten.mm.out(arg1_1, as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.6717784Z     del arg0_1
2022-11-23T01:32:37.6717852Z     del arg1_1
2022-11-23T01:32:37.6717938Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.6718070Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg2_1.data_ptr()))
2022-11-23T01:32:37.6718140Z     del arg2_1
2022-11-23T01:32:37.6718212Z     return (buf1, )
2022-11-23T01:32:37.6718216Z 
2022-11-23T01:32:37.6718221Z 
2022-11-23T01:32:37.6718298Z if __name__ == "__main__":
2022-11-23T01:32:37.6718396Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6718520Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6718719Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6718918Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6719116Z     arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6719238Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.6719242Z 
2022-11-23T01:32:37.6719309Z ok (23.002s)
2022-11-23T01:32:37.6719621Z   test_linear_unary_cpu (__main__.CpuTests) ... [2022-11-23 01:22:49,849] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6719946Z [2022-11-23 01:22:49,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6720164Z [2022-11-23 01:22:49,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6720409Z [2022-11-23 01:22:49,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6720721Z [2022-11-23 01:22:49,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6721041Z [2022-11-23 01:22:49,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6721287Z [2022-11-23 01:22:49,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6721519Z [2022-11-23 01:22:49,879] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6721771Z [2022-11-23 01:22:49,881] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6722018Z [2022-11-23 01:22:49,908] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6722203Z [2022-11-23 01:22:49,908] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6722326Z  __compiled_fn_254 <eval_with_key>.1585 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6722415Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6722513Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.6722612Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.6722709Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.6722713Z 
2022-11-23T01:32:37.6722989Z [2022-11-23 01:22:49,909] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6723083Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6723164Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6723256Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6723347Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6723424Z               8 RETURN_VALUE
2022-11-23T01:32:37.6723429Z 
2022-11-23T01:32:37.6723490Z  
2022-11-23T01:32:37.6723765Z [2022-11-23 01:22:49,909] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6723872Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_254)
2022-11-23T01:32:37.6723960Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6724037Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6724112Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6724198Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.6724288Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6724361Z              12 RETURN_VALUE
2022-11-23T01:32:37.6724368Z 
2022-11-23T01:32:37.6724426Z  
2022-11-23T01:32:37.6724608Z [2022-11-23 01:22:49,911] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6724665Z  - 
2022-11-23T01:32:37.6724781Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6724844Z             {
2022-11-23T01:32:37.6724983Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6725166Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.6725285Z                 'obj_weakref': None
2022-11-23T01:32:37.6725508Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6725559Z             }
2022-11-23T01:32:37.6725621Z             
2022-11-23T01:32:37.6725689Z  - 
2022-11-23T01:32:37.6725811Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6725873Z             {
2022-11-23T01:32:37.6726013Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6726149Z                 'code': None,
2022-11-23T01:32:37.6726344Z                 'obj_weakref': <weakref at 0x7f711892ab30; to 'Tensor' at 0x7f71062691d0>
2022-11-23T01:32:37.6726590Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6726653Z             }
2022-11-23T01:32:37.6726715Z             
2022-11-23T01:32:37.6726782Z  - 
2022-11-23T01:32:37.6726903Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6726992Z             {
2022-11-23T01:32:37.6727113Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6727279Z                 'code': ['___check_obj_id(model, 140123418343696)'],
2022-11-23T01:32:37.6727489Z                 'obj_weakref': <weakref at 0x7f71067927d0; to 'Sequential' at 0x7f7106933910>
2022-11-23T01:32:37.6727719Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.6727782Z             }
2022-11-23T01:32:37.6727848Z             
2022-11-23T01:32:37.6727914Z  - 
2022-11-23T01:32:37.6728023Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6728084Z             {
2022-11-23T01:32:37.6728219Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6728435Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6728551Z                 'obj_weakref': None
2022-11-23T01:32:37.6728770Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6728832Z             }
2022-11-23T01:32:37.6728884Z             
2022-11-23T01:32:37.6728950Z  - 
2022-11-23T01:32:37.6729092Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.6729154Z             {
2022-11-23T01:32:37.6729275Z                 'guard_types': None,
2022-11-23T01:32:37.6729379Z                 'code': None,
2022-11-23T01:32:37.6729493Z                 'obj_weakref': None
2022-11-23T01:32:37.6729600Z                 'guarded_class': None
2022-11-23T01:32:37.6729663Z             }
2022-11-23T01:32:37.6729724Z             
2022-11-23T01:32:37.6729792Z  - 
2022-11-23T01:32:37.6729933Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.6729995Z             {
2022-11-23T01:32:37.6730112Z                 'guard_types': None,
2022-11-23T01:32:37.6730203Z                 'code': None,
2022-11-23T01:32:37.6730317Z                 'obj_weakref': None
2022-11-23T01:32:37.6730438Z                 'guarded_class': None
2022-11-23T01:32:37.6730501Z             }
2022-11-23T01:32:37.6730561Z             
2022-11-23T01:32:37.6730819Z [2022-11-23 01:22:49,946] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 247
2022-11-23T01:32:37.6731179Z [2022-11-23 01:22:52,524] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/75/c75yszlo4gcc7d544navjq2sfis2sgckb3e2dftbcbwywsusvgrm.py
2022-11-23T01:32:37.6731431Z [2022-11-23 01:22:52,525] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 247
2022-11-23T01:32:37.6731666Z [2022-11-23 01:22:52,537] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6731930Z [2022-11-23 01:22:52,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6732145Z [2022-11-23 01:22:52,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6732388Z [2022-11-23 01:22:52,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6732663Z [2022-11-23 01:22:52,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6732976Z [2022-11-23 01:22:52,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6733219Z [2022-11-23 01:22:52,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6733485Z [2022-11-23 01:22:52,553] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6733737Z [2022-11-23 01:22:52,555] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6733970Z [2022-11-23 01:22:52,568] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6734319Z [2022-11-23 01:22:52,569] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6734452Z  __compiled_fn_255 <eval_with_key>.1591 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6734540Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6734638Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.6734739Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.6734838Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.6734843Z 
2022-11-23T01:32:37.6735118Z [2022-11-23 01:22:52,570] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6735200Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6735291Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6735382Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6735469Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6735545Z               8 RETURN_VALUE
2022-11-23T01:32:37.6735551Z 
2022-11-23T01:32:37.6735613Z  
2022-11-23T01:32:37.6735885Z [2022-11-23 01:22:52,570] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6735979Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_255)
2022-11-23T01:32:37.6736069Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6736158Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6736239Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6736327Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.6736420Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6736496Z              12 RETURN_VALUE
2022-11-23T01:32:37.6736501Z 
2022-11-23T01:32:37.6736561Z  
2022-11-23T01:32:37.6736728Z [2022-11-23 01:22:52,572] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6736796Z  - 
2022-11-23T01:32:37.6736913Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6736976Z             {
2022-11-23T01:32:37.6737116Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6737300Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.6737419Z                 'obj_weakref': None
2022-11-23T01:32:37.6737628Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6737691Z             }
2022-11-23T01:32:37.6737753Z             
2022-11-23T01:32:37.6737822Z  - 
2022-11-23T01:32:37.6737943Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6738008Z             {
2022-11-23T01:32:37.6738148Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6738241Z                 'code': None,
2022-11-23T01:32:37.6738446Z                 'obj_weakref': <weakref at 0x7f71067923b0; to 'Tensor' at 0x7f70f292f0b0>
2022-11-23T01:32:37.6738694Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6738757Z             }
2022-11-23T01:32:37.6738820Z             
2022-11-23T01:32:37.6738887Z  - 
2022-11-23T01:32:37.6739004Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6739053Z             {
2022-11-23T01:32:37.6739187Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6739356Z                 'code': ['___check_obj_id(model, 140123082584848)'],
2022-11-23T01:32:37.6739570Z                 'obj_weakref': <weakref at 0x7f71c13456b0; to 'Sequential' at 0x7f70f28ff310>
2022-11-23T01:32:37.6739801Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.6739894Z             }
2022-11-23T01:32:37.6739956Z             
2022-11-23T01:32:37.6740012Z  - 
2022-11-23T01:32:37.6740133Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6740194Z             {
2022-11-23T01:32:37.6740328Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6740570Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6740689Z                 'obj_weakref': None
2022-11-23T01:32:37.6740908Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6740958Z             }
2022-11-23T01:32:37.6741018Z             
2022-11-23T01:32:37.6741085Z  - 
2022-11-23T01:32:37.6741229Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.6741294Z             {
2022-11-23T01:32:37.6741413Z                 'guard_types': None,
2022-11-23T01:32:37.6741523Z                 'code': None,
2022-11-23T01:32:37.6741629Z                 'obj_weakref': None
2022-11-23T01:32:37.6741751Z                 'guarded_class': None
2022-11-23T01:32:37.6741815Z             }
2022-11-23T01:32:37.6741880Z             
2022-11-23T01:32:37.6741951Z  - 
2022-11-23T01:32:37.6742096Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.6742146Z             {
2022-11-23T01:32:37.6742266Z                 'guard_types': None,
2022-11-23T01:32:37.6742374Z                 'code': None,
2022-11-23T01:32:37.6742491Z                 'obj_weakref': None
2022-11-23T01:32:37.6742613Z                 'guarded_class': None
2022-11-23T01:32:37.6742677Z             }
2022-11-23T01:32:37.6742740Z             
2022-11-23T01:32:37.6742985Z [2022-11-23 01:22:52,594] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 248
2022-11-23T01:32:37.6743359Z [2022-11-23 01:22:52,611] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/l4/cl4jpmzary7cpxrdy6n4gqpdzxjudundr4vcz6atrms2jglopcdh.py
2022-11-23T01:32:37.6743624Z [2022-11-23 01:22:52,611] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 248
2022-11-23T01:32:37.6743862Z [2022-11-23 01:22:52,619] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6744128Z [2022-11-23 01:22:52,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6744347Z [2022-11-23 01:22:52,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6744675Z [2022-11-23 01:22:52,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6744955Z [2022-11-23 01:22:52,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6745270Z [2022-11-23 01:22:52,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6745519Z [2022-11-23 01:22:52,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6745740Z [2022-11-23 01:22:52,647] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6745993Z [2022-11-23 01:22:52,649] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6746244Z [2022-11-23 01:22:52,676] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6746434Z [2022-11-23 01:22:52,676] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6746569Z  __compiled_fn_256 <eval_with_key>.1597 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6746660Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6746762Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.6746865Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.6746989Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.6746996Z 
2022-11-23T01:32:37.6747274Z [2022-11-23 01:22:52,677] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6747368Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6747459Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6747552Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6747673Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6747751Z               8 RETURN_VALUE
2022-11-23T01:32:37.6747757Z 
2022-11-23T01:32:37.6747816Z  
2022-11-23T01:32:37.6748074Z [2022-11-23 01:22:52,677] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6748183Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_256)
2022-11-23T01:32:37.6748275Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6748367Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6748444Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6748533Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.6748626Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6748687Z              12 RETURN_VALUE
2022-11-23T01:32:37.6748692Z 
2022-11-23T01:32:37.6748753Z  
2022-11-23T01:32:37.6748934Z [2022-11-23 01:22:52,679] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6749007Z  - 
2022-11-23T01:32:37.6749124Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6749188Z             {
2022-11-23T01:32:37.6749328Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6749499Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.6749615Z                 'obj_weakref': None
2022-11-23T01:32:37.6749839Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6749904Z             }
2022-11-23T01:32:37.6749967Z             
2022-11-23T01:32:37.6750035Z  - 
2022-11-23T01:32:37.6750157Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6750207Z             {
2022-11-23T01:32:37.6750347Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6750453Z                 'code': None,
2022-11-23T01:32:37.6750659Z                 'obj_weakref': <weakref at 0x7f7106775530; to 'Tensor' at 0x7f7106792c50>
2022-11-23T01:32:37.6750909Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6750973Z             }
2022-11-23T01:32:37.6751039Z             
2022-11-23T01:32:37.6751096Z  - 
2022-11-23T01:32:37.6751213Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6751277Z             {
2022-11-23T01:32:37.6751413Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6751581Z                 'code': ['___check_obj_id(model, 140126764036176)'],
2022-11-23T01:32:37.6751796Z                 'obj_weakref': <weakref at 0x7f7106788230; to 'Sequential' at 0x7f71cdfe7050>
2022-11-23T01:32:37.6752028Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.6752090Z             }
2022-11-23T01:32:37.6752140Z             
2022-11-23T01:32:37.6752207Z  - 
2022-11-23T01:32:37.6752325Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6752387Z             {
2022-11-23T01:32:37.6752522Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6752738Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6752842Z                 'obj_weakref': None
2022-11-23T01:32:37.6753059Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6753120Z             }
2022-11-23T01:32:37.6753183Z             
2022-11-23T01:32:37.6753251Z  - 
2022-11-23T01:32:37.6753395Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.6753490Z             {
2022-11-23T01:32:37.6753598Z                 'guard_types': None,
2022-11-23T01:32:37.6753701Z                 'code': None,
2022-11-23T01:32:37.6753818Z                 'obj_weakref': None
2022-11-23T01:32:37.6753935Z                 'guarded_class': None
2022-11-23T01:32:37.6753998Z             }
2022-11-23T01:32:37.6754064Z             
2022-11-23T01:32:37.6754131Z  - 
2022-11-23T01:32:37.6754291Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.6754353Z             {
2022-11-23T01:32:37.6754473Z                 'guard_types': None,
2022-11-23T01:32:37.6754577Z                 'code': None,
2022-11-23T01:32:37.6754694Z                 'obj_weakref': None
2022-11-23T01:32:37.6754813Z                 'guarded_class': None
2022-11-23T01:32:37.6754875Z             }
2022-11-23T01:32:37.6754924Z             
2022-11-23T01:32:37.6755179Z [2022-11-23 01:22:52,711] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 249
2022-11-23T01:32:37.6755554Z [2022-11-23 01:22:55,266] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qi/cqieilc3au3byssidlymzahpvsgeat652sjh7ynuct7uezgj2p56.py
2022-11-23T01:32:37.6755815Z [2022-11-23 01:22:55,267] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 249
2022-11-23T01:32:37.6756050Z [2022-11-23 01:22:55,279] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6756317Z [2022-11-23 01:22:55,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6756531Z [2022-11-23 01:22:55,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6756770Z [2022-11-23 01:22:55,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6757042Z [2022-11-23 01:22:55,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6757456Z [2022-11-23 01:22:55,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6757705Z [2022-11-23 01:22:55,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6757938Z [2022-11-23 01:22:55,291] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6758194Z [2022-11-23 01:22:55,293] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6758441Z [2022-11-23 01:22:55,304] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6758629Z [2022-11-23 01:22:55,305] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6758764Z  __compiled_fn_257 <eval_with_key>.1603 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6758854Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6758943Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.6759045Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.6759145Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.6759150Z 
2022-11-23T01:32:37.6759425Z [2022-11-23 01:22:55,306] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6759518Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6759610Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6759702Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6759794Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6759857Z               8 RETURN_VALUE
2022-11-23T01:32:37.6759862Z 
2022-11-23T01:32:37.6759922Z  
2022-11-23T01:32:37.6760190Z [2022-11-23 01:22:55,306] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6760296Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_257)
2022-11-23T01:32:37.6760452Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6760542Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6760619Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6760709Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.6760786Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6760864Z              12 RETURN_VALUE
2022-11-23T01:32:37.6760869Z 
2022-11-23T01:32:37.6760963Z  
2022-11-23T01:32:37.6761148Z [2022-11-23 01:22:55,308] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6761219Z  - 
2022-11-23T01:32:37.6761337Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6761401Z             {
2022-11-23T01:32:37.6761529Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6761713Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.6761832Z                 'obj_weakref': None
2022-11-23T01:32:37.6762058Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6762122Z             }
2022-11-23T01:32:37.6762186Z             
2022-11-23T01:32:37.6762254Z  - 
2022-11-23T01:32:37.6762362Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6762423Z             {
2022-11-23T01:32:37.6762566Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6762671Z                 'code': None,
2022-11-23T01:32:37.6762876Z                 'obj_weakref': <weakref at 0x7f70f2e17770; to 'Tensor' at 0x7f7106526350>
2022-11-23T01:32:37.6763125Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6763190Z             }
2022-11-23T01:32:37.6763241Z             
2022-11-23T01:32:37.6763310Z  - 
2022-11-23T01:32:37.6763429Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6763492Z             {
2022-11-23T01:32:37.6763625Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6763795Z                 'code': ['___check_obj_id(model, 140123421598288)'],
2022-11-23T01:32:37.6764008Z                 'obj_weakref': <weakref at 0x7f7106717bf0; to 'Sequential' at 0x7f7106c4e250>
2022-11-23T01:32:37.6764229Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.6764291Z             }
2022-11-23T01:32:37.6764353Z             
2022-11-23T01:32:37.6764420Z  - 
2022-11-23T01:32:37.6764542Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6764605Z             {
2022-11-23T01:32:37.6764740Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6764943Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6765059Z                 'obj_weakref': None
2022-11-23T01:32:37.6765276Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6765340Z             }
2022-11-23T01:32:37.6765402Z             
2022-11-23T01:32:37.6765470Z  - 
2022-11-23T01:32:37.6765613Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.6765663Z             {
2022-11-23T01:32:37.6765781Z                 'guard_types': None,
2022-11-23T01:32:37.6765886Z                 'code': None,
2022-11-23T01:32:37.6766001Z                 'obj_weakref': None
2022-11-23T01:32:37.6766119Z                 'guarded_class': None
2022-11-23T01:32:37.6766183Z             }
2022-11-23T01:32:37.6766245Z             
2022-11-23T01:32:37.6766299Z  - 
2022-11-23T01:32:37.6766442Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.6766504Z             {
2022-11-23T01:32:37.6766622Z                 'guard_types': None,
2022-11-23T01:32:37.6766726Z                 'code': None,
2022-11-23T01:32:37.6766845Z                 'obj_weakref': None
2022-11-23T01:32:37.6766951Z                 'guarded_class': None
2022-11-23T01:32:37.6767012Z             }
2022-11-23T01:32:37.6767106Z             
2022-11-23T01:32:37.6767366Z [2022-11-23 01:22:55,321] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 250
2022-11-23T01:32:37.6767744Z [2022-11-23 01:22:55,332] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rn/crndfqxsfdd7ubszexteeaqdqbxidjmo7vfjh4qnilqj4popoikh.py
2022-11-23T01:32:37.6768005Z [2022-11-23 01:22:55,332] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 250
2022-11-23T01:32:37.6768267Z [2022-11-23 01:22:55,338] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6768536Z [2022-11-23 01:22:55,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6768749Z [2022-11-23 01:22:55,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6768978Z [2022-11-23 01:22:55,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6769254Z [2022-11-23 01:22:55,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6769564Z [2022-11-23 01:22:55,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6769809Z [2022-11-23 01:22:55,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6770041Z [2022-11-23 01:22:55,361] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6770291Z [2022-11-23 01:22:55,362] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6770535Z [2022-11-23 01:22:55,382] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6770721Z [2022-11-23 01:22:55,382] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6770855Z  __compiled_fn_258 <eval_with_key>.1609 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6770930Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6771027Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.6771129Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.6771227Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.6771233Z 
2022-11-23T01:32:37.6771510Z [2022-11-23 01:22:55,383] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6771602Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6771694Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6771774Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6771861Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6771936Z               8 RETURN_VALUE
2022-11-23T01:32:37.6771942Z 
2022-11-23T01:32:37.6772003Z  
2022-11-23T01:32:37.6772271Z [2022-11-23 01:22:55,383] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6772380Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_258)
2022-11-23T01:32:37.6772469Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6772559Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6772623Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6772708Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.6772800Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6772873Z              12 RETURN_VALUE
2022-11-23T01:32:37.6772878Z 
2022-11-23T01:32:37.6772939Z  
2022-11-23T01:32:37.6773116Z [2022-11-23 01:22:55,385] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6773184Z  - 
2022-11-23T01:32:37.6773288Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6773353Z             {
2022-11-23T01:32:37.6773492Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6773708Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.6773826Z                 'obj_weakref': None
2022-11-23T01:32:37.6774047Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6774110Z             }
2022-11-23T01:32:37.6774161Z             
2022-11-23T01:32:37.6774229Z  - 
2022-11-23T01:32:37.6774351Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6774413Z             {
2022-11-23T01:32:37.6774581Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6774688Z                 'code': None,
2022-11-23T01:32:37.6774891Z                 'obj_weakref': <weakref at 0x7f7106269410; to 'Tensor' at 0x7f7129e57b30>
2022-11-23T01:32:37.6775126Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6775187Z             }
2022-11-23T01:32:37.6775249Z             
2022-11-23T01:32:37.6775317Z  - 
2022-11-23T01:32:37.6775439Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6775501Z             {
2022-11-23T01:32:37.6775633Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6775788Z                 'code': ['___check_obj_id(model, 140123418748688)'],
2022-11-23T01:32:37.6776000Z                 'obj_weakref': <weakref at 0x7f719394ff50; to 'Sequential' at 0x7f7106996710>
2022-11-23T01:32:37.6776232Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.6776294Z             }
2022-11-23T01:32:37.6776356Z             
2022-11-23T01:32:37.6776424Z  - 
2022-11-23T01:32:37.6776545Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6776594Z             {
2022-11-23T01:32:37.6776727Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6776944Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6777061Z                 'obj_weakref': None
2022-11-23T01:32:37.6777282Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6777344Z             }
2022-11-23T01:32:37.6777408Z             
2022-11-23T01:32:37.6777464Z  - 
2022-11-23T01:32:37.6777606Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.6777670Z             {
2022-11-23T01:32:37.6777788Z                 'guard_types': None,
2022-11-23T01:32:37.6777893Z                 'code': None,
2022-11-23T01:32:37.6778010Z                 'obj_weakref': None
2022-11-23T01:32:37.6778129Z                 'guarded_class': None
2022-11-23T01:32:37.6778181Z             }
2022-11-23T01:32:37.6778243Z             
2022-11-23T01:32:37.6778310Z  - 
2022-11-23T01:32:37.6778453Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.6778516Z             {
2022-11-23T01:32:37.6778632Z                 'guard_types': None,
2022-11-23T01:32:37.6778737Z                 'code': None,
2022-11-23T01:32:37.6778840Z                 'obj_weakref': None
2022-11-23T01:32:37.6778959Z                 'guarded_class': None
2022-11-23T01:32:37.6779021Z             }
2022-11-23T01:32:37.6779082Z             
2022-11-23T01:32:37.6779341Z [2022-11-23 01:22:55,410] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 251
2022-11-23T01:32:37.6779346Z 
2022-11-23T01:32:37.6779438Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6779504Z import torch
2022-11-23T01:32:37.6779560Z import random
2022-11-23T01:32:37.6779676Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6779796Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6779801Z 
2022-11-23T01:32:37.6779880Z aten = torch.ops.aten
2022-11-23T01:32:37.6780013Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6780103Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6780108Z 
2022-11-23T01:32:37.6780113Z 
2022-11-23T01:32:37.6780244Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6780482Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6780590Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.6780651Z {
2022-11-23T01:32:37.6780748Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6780811Z     {
2022-11-23T01:32:37.6780889Z         #pragma omp for 
2022-11-23T01:32:37.6780973Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.6781038Z         {
2022-11-23T01:32:37.6781134Z             {
2022-11-23T01:32:37.6781201Z                 {
2022-11-23T01:32:37.6781322Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6781419Z                     auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:32:37.6781512Z                     in_out_ptr0[i0] = tmp1;
2022-11-23T01:32:37.6781579Z                 }
2022-11-23T01:32:37.6781642Z             }
2022-11-23T01:32:37.6781692Z         }
2022-11-23T01:32:37.6781753Z     }
2022-11-23T01:32:37.6781821Z }
2022-11-23T01:32:37.6781900Z ''')
2022-11-23T01:32:37.6781905Z 
2022-11-23T01:32:37.6781909Z 
2022-11-23T01:32:37.6782001Z async_compile.wait(globals())
2022-11-23T01:32:37.6782075Z del async_compile
2022-11-23T01:32:37.6782079Z 
2022-11-23T01:32:37.6782150Z def call(args):
2022-11-23T01:32:37.6782219Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.6782290Z     args.clear()
2022-11-23T01:32:37.6782494Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6782666Z     aten.addmm.out(arg1_1, as_strided(arg2_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.6782737Z     del arg0_1
2022-11-23T01:32:37.6782803Z     del arg1_1
2022-11-23T01:32:37.6782869Z     del arg2_1
2022-11-23T01:32:37.6782973Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.6783078Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.6783151Z     return (buf1, )
2022-11-23T01:32:37.6783158Z 
2022-11-23T01:32:37.6783163Z 
2022-11-23T01:32:37.6783239Z if __name__ == "__main__":
2022-11-23T01:32:37.6783353Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6783473Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6783676Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6783869Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6784063Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6784187Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.6784192Z 
2022-11-23T01:32:37.6784196Z 
2022-11-23T01:32:37.6784290Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6784361Z import torch
2022-11-23T01:32:37.6784514Z import random
2022-11-23T01:32:37.6784640Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6784764Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6784768Z 
2022-11-23T01:32:37.6784846Z aten = torch.ops.aten
2022-11-23T01:32:37.6784966Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6785057Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6785061Z 
2022-11-23T01:32:37.6785066Z 
2022-11-23T01:32:37.6785202Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6785408Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6785529Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.6785590Z {
2022-11-23T01:32:37.6785688Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6785750Z     {
2022-11-23T01:32:37.6785814Z         #pragma omp for 
2022-11-23T01:32:37.6785898Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.6785962Z         {
2022-11-23T01:32:37.6786027Z             {
2022-11-23T01:32:37.6786091Z                 {
2022-11-23T01:32:37.6786247Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6786332Z                     auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:32:37.6786421Z                     in_out_ptr0[i0] = tmp1;
2022-11-23T01:32:37.6786484Z                 }
2022-11-23T01:32:37.6786546Z             }
2022-11-23T01:32:37.6786608Z         }
2022-11-23T01:32:37.6786672Z     }
2022-11-23T01:32:37.6786732Z }
2022-11-23T01:32:37.6786797Z ''')
2022-11-23T01:32:37.6786802Z 
2022-11-23T01:32:37.6786833Z 
2022-11-23T01:32:37.6786923Z async_compile.wait(globals())
2022-11-23T01:32:37.6786994Z del async_compile
2022-11-23T01:32:37.6786999Z 
2022-11-23T01:32:37.6787069Z def call(args):
2022-11-23T01:32:37.6787146Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.6787217Z     args.clear()
2022-11-23T01:32:37.6787415Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6787559Z     aten.mm.out(as_strided(arg1_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.6787617Z     del arg0_1
2022-11-23T01:32:37.6787683Z     del arg1_1
2022-11-23T01:32:37.6787800Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.6787903Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.6787975Z     return (buf1, )
2022-11-23T01:32:37.6787980Z 
2022-11-23T01:32:37.6787984Z 
2022-11-23T01:32:37.6788058Z if __name__ == "__main__":
2022-11-23T01:32:37.6788171Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6788279Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6788476Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6788680Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6788791Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.6788796Z 
2022-11-23T01:32:37.6788800Z 
2022-11-23T01:32:37.6788892Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6788962Z import torch
2022-11-23T01:32:37.6789032Z import random
2022-11-23T01:32:37.6789145Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6789252Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6789256Z 
2022-11-23T01:32:37.6789332Z aten = torch.ops.aten
2022-11-23T01:32:37.6789464Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6789554Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6789561Z 
2022-11-23T01:32:37.6789565Z 
2022-11-23T01:32:37.6789696Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6789895Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6790014Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.6790073Z {
2022-11-23T01:32:37.6790157Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6790217Z     {
2022-11-23T01:32:37.6790292Z         #pragma omp for 
2022-11-23T01:32:37.6790376Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.6790439Z         {
2022-11-23T01:32:37.6790502Z             {
2022-11-23T01:32:37.6790565Z                 {
2022-11-23T01:32:37.6790670Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6790764Z                     auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:32:37.6790852Z                     in_out_ptr0[i0] = tmp1;
2022-11-23T01:32:37.6790916Z                 }
2022-11-23T01:32:37.6790981Z             }
2022-11-23T01:32:37.6791042Z         }
2022-11-23T01:32:37.6791089Z     }
2022-11-23T01:32:37.6791149Z }
2022-11-23T01:32:37.6791225Z ''')
2022-11-23T01:32:37.6791230Z 
2022-11-23T01:32:37.6791234Z 
2022-11-23T01:32:37.6791321Z async_compile.wait(globals())
2022-11-23T01:32:37.6791391Z del async_compile
2022-11-23T01:32:37.6791396Z 
2022-11-23T01:32:37.6791464Z def call(args):
2022-11-23T01:32:37.6791545Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.6791616Z     args.clear()
2022-11-23T01:32:37.6791834Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6791984Z     aten.addmm.out(arg1_1, arg2_1, as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.6792051Z     del arg0_1
2022-11-23T01:32:37.6792117Z     del arg1_1
2022-11-23T01:32:37.6792182Z     del arg2_1
2022-11-23T01:32:37.6792265Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.6792394Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.6792454Z     return (buf1, )
2022-11-23T01:32:37.6792459Z 
2022-11-23T01:32:37.6792463Z 
2022-11-23T01:32:37.6792537Z if __name__ == "__main__":
2022-11-23T01:32:37.6792648Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6792768Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6792967Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6793160Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6793358Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6793478Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.6793483Z 
2022-11-23T01:32:37.6793487Z 
2022-11-23T01:32:37.6793567Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6793635Z import torch
2022-11-23T01:32:37.6793703Z import random
2022-11-23T01:32:37.6793817Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6793935Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6793940Z 
2022-11-23T01:32:37.6794017Z aten = torch.ops.aten
2022-11-23T01:32:37.6794149Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6794237Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6794242Z 
2022-11-23T01:32:37.6794246Z 
2022-11-23T01:32:37.6794364Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6794568Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6794688Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.6794748Z {
2022-11-23T01:32:37.6794843Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6794905Z     {
2022-11-23T01:32:37.6794980Z         #pragma omp for 
2022-11-23T01:32:37.6795049Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.6795111Z         {
2022-11-23T01:32:37.6795174Z             {
2022-11-23T01:32:37.6795239Z                 {
2022-11-23T01:32:37.6795357Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6795450Z                     auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:32:37.6795540Z                     in_out_ptr0[i0] = tmp1;
2022-11-23T01:32:37.6795593Z                 }
2022-11-23T01:32:37.6795656Z             }
2022-11-23T01:32:37.6795719Z         }
2022-11-23T01:32:37.6795779Z     }
2022-11-23T01:32:37.6795839Z }
2022-11-23T01:32:37.6795915Z ''')
2022-11-23T01:32:37.6795921Z 
2022-11-23T01:32:37.6795925Z 
2022-11-23T01:32:37.6796012Z async_compile.wait(globals())
2022-11-23T01:32:37.6796070Z del async_compile
2022-11-23T01:32:37.6796075Z 
2022-11-23T01:32:37.6796143Z def call(args):
2022-11-23T01:32:37.6796217Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.6796286Z     args.clear()
2022-11-23T01:32:37.6796483Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6796603Z     aten.mm.out(arg1_1, as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.6796669Z     del arg0_1
2022-11-23T01:32:37.6796722Z     del arg1_1
2022-11-23T01:32:37.6796805Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.6796905Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.6796976Z     return (buf1, )
2022-11-23T01:32:37.6796981Z 
2022-11-23T01:32:37.6796985Z 
2022-11-23T01:32:37.6797061Z if __name__ == "__main__":
2022-11-23T01:32:37.6797274Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6797452Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6797655Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6797838Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6797951Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.6797956Z 
2022-11-23T01:32:37.6797960Z 
2022-11-23T01:32:37.6798055Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6798165Z import torch
2022-11-23T01:32:37.6798237Z import random
2022-11-23T01:32:37.6798350Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6798470Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6798474Z 
2022-11-23T01:32:37.6798551Z aten = torch.ops.aten
2022-11-23T01:32:37.6798671Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6798760Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6798765Z 
2022-11-23T01:32:37.6798772Z 
2022-11-23T01:32:37.6798903Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6799105Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6799224Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.6799284Z {
2022-11-23T01:32:37.6799382Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6799430Z     {
2022-11-23T01:32:37.6799509Z         #pragma omp for 
2022-11-23T01:32:37.6799595Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.6799659Z         {
2022-11-23T01:32:37.6799724Z             {
2022-11-23T01:32:37.6799789Z                 {
2022-11-23T01:32:37.6799908Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6800061Z                     auto tmp1 = std::exp(-tmp0);
2022-11-23T01:32:37.6800152Z                     auto tmp2 = 1 / (1 + tmp1);
2022-11-23T01:32:37.6800240Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6800305Z                 }
2022-11-23T01:32:37.6800368Z             }
2022-11-23T01:32:37.6800430Z         }
2022-11-23T01:32:37.6800491Z     }
2022-11-23T01:32:37.6800537Z }
2022-11-23T01:32:37.6800613Z ''')
2022-11-23T01:32:37.6800618Z 
2022-11-23T01:32:37.6800622Z 
2022-11-23T01:32:37.6800709Z async_compile.wait(globals())
2022-11-23T01:32:37.6800780Z del async_compile
2022-11-23T01:32:37.6800784Z 
2022-11-23T01:32:37.6800853Z def call(args):
2022-11-23T01:32:37.6800934Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.6801009Z     args.clear()
2022-11-23T01:32:37.6801193Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6801359Z     aten.addmm.out(arg1_1, as_strided(arg2_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.6801426Z     del arg0_1
2022-11-23T01:32:37.6801491Z     del arg1_1
2022-11-23T01:32:37.6801556Z     del arg2_1
2022-11-23T01:32:37.6801671Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.6801777Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.6801847Z     return (buf1, )
2022-11-23T01:32:37.6801852Z 
2022-11-23T01:32:37.6801856Z 
2022-11-23T01:32:37.6801918Z if __name__ == "__main__":
2022-11-23T01:32:37.6802030Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6802149Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6802351Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6802545Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6802748Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6802870Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.6803241Z [2022-11-23 01:22:57,958] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zi/cziephwi7nqrdmb3ozfw2dretn634o7lbcznfp7nuxipxuhukccm.py
2022-11-23T01:32:37.6803526Z [2022-11-23 01:22:57,959] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 251
2022-11-23T01:32:37.6803761Z [2022-11-23 01:22:57,971] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6804025Z [2022-11-23 01:22:57,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6804273Z [2022-11-23 01:22:57,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6804517Z [2022-11-23 01:22:57,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6804792Z [2022-11-23 01:22:57,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6805104Z [2022-11-23 01:22:57,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6805352Z [2022-11-23 01:22:57,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6805584Z [2022-11-23 01:22:57,987] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6805822Z [2022-11-23 01:22:57,989] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6806071Z [2022-11-23 01:22:58,003] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6806260Z [2022-11-23 01:22:58,004] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6806393Z  __compiled_fn_259 <eval_with_key>.1615 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6806483Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6806583Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.6806682Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.6806783Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.6806790Z 
2022-11-23T01:32:37.6807066Z [2022-11-23 01:22:58,005] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6807145Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6807234Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6807327Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6807418Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6807494Z               8 RETURN_VALUE
2022-11-23T01:32:37.6807499Z 
2022-11-23T01:32:37.6807559Z  
2022-11-23T01:32:37.6807829Z [2022-11-23 01:22:58,005] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6807922Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_259)
2022-11-23T01:32:37.6808010Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6808099Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6808177Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6808265Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.6808355Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6808430Z              12 RETURN_VALUE
2022-11-23T01:32:37.6808434Z 
2022-11-23T01:32:37.6808494Z  
2022-11-23T01:32:37.6808662Z [2022-11-23 01:22:58,007] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6808730Z  - 
2022-11-23T01:32:37.6808849Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6808913Z             {
2022-11-23T01:32:37.6809054Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6809238Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.6809355Z                 'obj_weakref': None
2022-11-23T01:32:37.6809564Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6809626Z             }
2022-11-23T01:32:37.6809743Z             
2022-11-23T01:32:37.6809813Z  - 
2022-11-23T01:32:37.6809937Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6810001Z             {
2022-11-23T01:32:37.6810128Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6810234Z                 'code': None,
2022-11-23T01:32:37.6810441Z                 'obj_weakref': <weakref at 0x7f70f28b2e90; to 'Tensor' at 0x7f7106c36bf0>
2022-11-23T01:32:37.6810718Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6810782Z             }
2022-11-23T01:32:37.6810846Z             
2022-11-23T01:32:37.6810916Z  - 
2022-11-23T01:32:37.6811022Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6811085Z             {
2022-11-23T01:32:37.6811220Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6811388Z                 'code': ['___check_obj_id(model, 140123421229136)'],
2022-11-23T01:32:37.6811604Z                 'obj_weakref': <weakref at 0x7f70f2c863b0; to 'Sequential' at 0x7f7106bf4050>
2022-11-23T01:32:37.6811839Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.6811903Z             }
2022-11-23T01:32:37.6811965Z             
2022-11-23T01:32:37.6812020Z  - 
2022-11-23T01:32:37.6812141Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6812203Z             {
2022-11-23T01:32:37.6812337Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6812555Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6812671Z                 'obj_weakref': None
2022-11-23T01:32:37.6812889Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6812939Z             }
2022-11-23T01:32:37.6813004Z             
2022-11-23T01:32:37.6813073Z  - 
2022-11-23T01:32:37.6813218Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.6813284Z             {
2022-11-23T01:32:37.6813406Z                 'guard_types': None,
2022-11-23T01:32:37.6813512Z                 'code': None,
2022-11-23T01:32:37.6813617Z                 'obj_weakref': None
2022-11-23T01:32:37.6813737Z                 'guarded_class': None
2022-11-23T01:32:37.6813800Z             }
2022-11-23T01:32:37.6813864Z             
2022-11-23T01:32:37.6813932Z  - 
2022-11-23T01:32:37.6814077Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.6814130Z             {
2022-11-23T01:32:37.6814252Z                 'guard_types': None,
2022-11-23T01:32:37.6814359Z                 'code': None,
2022-11-23T01:32:37.6814475Z                 'obj_weakref': None
2022-11-23T01:32:37.6814599Z                 'guarded_class': None
2022-11-23T01:32:37.6814664Z             }
2022-11-23T01:32:37.6814727Z             
2022-11-23T01:32:37.6814972Z [2022-11-23 01:22:58,030] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 252
2022-11-23T01:32:37.6815351Z [2022-11-23 01:22:58,048] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bq/cbqog3cxdkrqkssmjc2fzlaos7beac4qwqpp7qcaabwbjrnnhug7.py
2022-11-23T01:32:37.6815613Z [2022-11-23 01:22:58,048] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 252
2022-11-23T01:32:37.6815849Z [2022-11-23 01:22:58,056] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6816119Z [2022-11-23 01:22:58,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6816338Z [2022-11-23 01:22:58,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6816580Z [2022-11-23 01:22:58,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6816857Z [2022-11-23 01:22:58,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6817199Z [2022-11-23 01:22:58,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6817443Z [2022-11-23 01:22:58,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6817662Z [2022-11-23 01:22:58,087] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6817949Z [2022-11-23 01:22:58,089] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6818199Z [2022-11-23 01:22:58,112] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6818383Z [2022-11-23 01:22:58,112] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6818517Z  __compiled_fn_260 <eval_with_key>.1621 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6818607Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6818712Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.6818814Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.6818901Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.6818906Z 
2022-11-23T01:32:37.6819184Z [2022-11-23 01:22:58,112] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6819279Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6819373Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6819467Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6819555Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6819633Z               8 RETURN_VALUE
2022-11-23T01:32:37.6819638Z 
2022-11-23T01:32:37.6819699Z  
2022-11-23T01:32:37.6819959Z [2022-11-23 01:22:58,113] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6820067Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_260)
2022-11-23T01:32:37.6820160Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6820249Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6820327Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6820415Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.6820507Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6820570Z              12 RETURN_VALUE
2022-11-23T01:32:37.6820575Z 
2022-11-23T01:32:37.6820636Z  
2022-11-23T01:32:37.6820819Z [2022-11-23 01:22:58,114] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6820889Z  - 
2022-11-23T01:32:37.6821006Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6821072Z             {
2022-11-23T01:32:37.6821213Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6821386Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.6821503Z                 'obj_weakref': None
2022-11-23T01:32:37.6821728Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6821795Z             }
2022-11-23T01:32:37.6821860Z             
2022-11-23T01:32:37.6821926Z  - 
2022-11-23T01:32:37.6822048Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6822097Z             {
2022-11-23T01:32:37.6822239Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6822347Z                 'code': None,
2022-11-23T01:32:37.6822559Z                 'obj_weakref': <weakref at 0x7f70f2c73650; to 'Tensor' at 0x7f70f28b2830>
2022-11-23T01:32:37.6822806Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6822872Z             }
2022-11-23T01:32:37.6822936Z             
2022-11-23T01:32:37.6822991Z  - 
2022-11-23T01:32:37.6823112Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6823174Z             {
2022-11-23T01:32:37.6823306Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6823499Z                 'code': ['___check_obj_id(model, 140123412335120)'],
2022-11-23T01:32:37.6823715Z                 'obj_weakref': <weakref at 0x7f70f2c86b90; to 'Sequential' at 0x7f7106378a10>
2022-11-23T01:32:37.6823945Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.6823996Z             }
2022-11-23T01:32:37.6824058Z             
2022-11-23T01:32:37.6824125Z  - 
2022-11-23T01:32:37.6824283Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6824345Z             {
2022-11-23T01:32:37.6824569Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6824793Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6824896Z                 'obj_weakref': None
2022-11-23T01:32:37.6825115Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6825178Z             }
2022-11-23T01:32:37.6825246Z             
2022-11-23T01:32:37.6825315Z  - 
2022-11-23T01:32:37.6825459Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.6825523Z             {
2022-11-23T01:32:37.6825628Z                 'guard_types': None,
2022-11-23T01:32:37.6825733Z                 'code': None,
2022-11-23T01:32:37.6825850Z                 'obj_weakref': None
2022-11-23T01:32:37.6825971Z                 'guarded_class': None
2022-11-23T01:32:37.6826036Z             }
2022-11-23T01:32:37.6826102Z             
2022-11-23T01:32:37.6826170Z  - 
2022-11-23T01:32:37.6826301Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.6826363Z             {
2022-11-23T01:32:37.6826483Z                 'guard_types': None,
2022-11-23T01:32:37.6826588Z                 'code': None,
2022-11-23T01:32:37.6826703Z                 'obj_weakref': None
2022-11-23T01:32:37.6826822Z                 'guarded_class': None
2022-11-23T01:32:37.6826885Z             }
2022-11-23T01:32:37.6826934Z             
2022-11-23T01:32:37.6827194Z [2022-11-23 01:22:58,138] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 253
2022-11-23T01:32:37.6827566Z [2022-11-23 01:23:00,676] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zq/czqubqtmnd5f4mxwn75kaajsgf4i2suenllrrhmrtsqdbgnp5z4y.py
2022-11-23T01:32:37.6827828Z [2022-11-23 01:23:00,677] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 253
2022-11-23T01:32:37.6828064Z [2022-11-23 01:23:00,686] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6828329Z [2022-11-23 01:23:00,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6828545Z [2022-11-23 01:23:00,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6828785Z [2022-11-23 01:23:00,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6829050Z [2022-11-23 01:23:00,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6829363Z [2022-11-23 01:23:00,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6829607Z [2022-11-23 01:23:00,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6829841Z [2022-11-23 01:23:00,696] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6830090Z [2022-11-23 01:23:00,698] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6830337Z [2022-11-23 01:23:00,706] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6830524Z [2022-11-23 01:23:00,707] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6830658Z  __compiled_fn_261 <eval_with_key>.1627 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6830783Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6830869Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.6830969Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.6831066Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.6831071Z 
2022-11-23T01:32:37.6831373Z [2022-11-23 01:23:00,707] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6831466Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6831557Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6831648Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6831739Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6831802Z               8 RETURN_VALUE
2022-11-23T01:32:37.6831808Z 
2022-11-23T01:32:37.6831867Z  
2022-11-23T01:32:37.6832139Z [2022-11-23 01:23:00,707] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6832251Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_261)
2022-11-23T01:32:37.6832340Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6832427Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6832503Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6832578Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.6832669Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6832742Z              12 RETURN_VALUE
2022-11-23T01:32:37.6832746Z 
2022-11-23T01:32:37.6832805Z  
2022-11-23T01:32:37.6832988Z [2022-11-23 01:23:00,709] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6833056Z  - 
2022-11-23T01:32:37.6833172Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6833223Z             {
2022-11-23T01:32:37.6833365Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6833548Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.6833668Z                 'obj_weakref': None
2022-11-23T01:32:37.6833888Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6833953Z             }
2022-11-23T01:32:37.6834016Z             
2022-11-23T01:32:37.6834083Z  - 
2022-11-23T01:32:37.6834193Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6834254Z             {
2022-11-23T01:32:37.6834396Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6834501Z                 'code': None,
2022-11-23T01:32:37.6834703Z                 'obj_weakref': <weakref at 0x7f71067220b0; to 'Tensor' at 0x7f71070c8ef0>
2022-11-23T01:32:37.6834952Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6835018Z             }
2022-11-23T01:32:37.6835069Z             
2022-11-23T01:32:37.6835137Z  - 
2022-11-23T01:32:37.6835254Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6835321Z             {
2022-11-23T01:32:37.6835453Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6835620Z                 'code': ['___check_obj_id(model, 140123419193232)'],
2022-11-23T01:32:37.6835832Z                 'obj_weakref': <weakref at 0x7f7106269fb0; to 'Sequential' at 0x7f7106a02f90>
2022-11-23T01:32:37.6836049Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.6836113Z             }
2022-11-23T01:32:37.6836174Z             
2022-11-23T01:32:37.6836240Z  - 
2022-11-23T01:32:37.6836359Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6836421Z             {
2022-11-23T01:32:37.6836554Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6836760Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6836875Z                 'obj_weakref': None
2022-11-23T01:32:37.6837218Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6837283Z             }
2022-11-23T01:32:37.6837346Z             
2022-11-23T01:32:37.6837416Z  - 
2022-11-23T01:32:37.6837560Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.6837609Z             {
2022-11-23T01:32:37.6837728Z                 'guard_types': None,
2022-11-23T01:32:37.6837835Z                 'code': None,
2022-11-23T01:32:37.6838004Z                 'obj_weakref': None
2022-11-23T01:32:37.6838126Z                 'guarded_class': None
2022-11-23T01:32:37.6838188Z             }
2022-11-23T01:32:37.6838237Z             
2022-11-23T01:32:37.6838303Z  - 
2022-11-23T01:32:37.6838447Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.6838515Z             {
2022-11-23T01:32:37.6838633Z                 'guard_types': None,
2022-11-23T01:32:37.6838739Z                 'code': None,
2022-11-23T01:32:37.6838857Z                 'obj_weakref': None
2022-11-23T01:32:37.6838964Z                 'guarded_class': None
2022-11-23T01:32:37.6839027Z             }
2022-11-23T01:32:37.6839090Z             
2022-11-23T01:32:37.6839351Z [2022-11-23 01:23:00,722] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 254
2022-11-23T01:32:37.6839725Z [2022-11-23 01:23:00,733] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nd/cndih4sqeqnrzqrzkatsrjoc5h57f5bq7r3ob2bad2dozrspmoo3.py
2022-11-23T01:32:37.6839994Z [2022-11-23 01:23:00,733] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 254
2022-11-23T01:32:37.6840231Z [2022-11-23 01:23:00,739] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6840497Z [2022-11-23 01:23:00,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6840701Z [2022-11-23 01:23:00,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6840944Z [2022-11-23 01:23:00,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6841215Z [2022-11-23 01:23:00,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6841528Z [2022-11-23 01:23:00,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6841775Z [2022-11-23 01:23:00,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6842009Z [2022-11-23 01:23:00,762] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6842259Z [2022-11-23 01:23:00,763] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6842505Z [2022-11-23 01:23:00,783] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6842695Z [2022-11-23 01:23:00,783] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6842828Z  __compiled_fn_262 <eval_with_key>.1633 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6842904Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6843002Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.6843103Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.6843202Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.6843210Z 
2022-11-23T01:32:37.6843484Z [2022-11-23 01:23:00,784] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6843576Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6843669Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6843749Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6843841Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6843916Z               8 RETURN_VALUE
2022-11-23T01:32:37.6843959Z 
2022-11-23T01:32:37.6844019Z  
2022-11-23T01:32:37.6844296Z [2022-11-23 01:23:00,784] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6844405Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_262)
2022-11-23T01:32:37.6844493Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6844581Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6844676Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6844764Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.6844853Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6844929Z              12 RETURN_VALUE
2022-11-23T01:32:37.6844934Z 
2022-11-23T01:32:37.6844994Z  
2022-11-23T01:32:37.6845175Z [2022-11-23 01:23:00,786] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6845246Z  - 
2022-11-23T01:32:37.6845353Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6845425Z             {
2022-11-23T01:32:37.6845564Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6845747Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.6845868Z                 'obj_weakref': None
2022-11-23T01:32:37.6846091Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6846154Z             }
2022-11-23T01:32:37.6846204Z             
2022-11-23T01:32:37.6846274Z  - 
2022-11-23T01:32:37.6846395Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6846457Z             {
2022-11-23T01:32:37.6846597Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6846703Z                 'code': None,
2022-11-23T01:32:37.6846909Z                 'obj_weakref': <weakref at 0x7f70f28d8470; to 'Tensor' at 0x7f7106e156b0>
2022-11-23T01:32:37.6847145Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6847209Z             }
2022-11-23T01:32:37.6847275Z             
2022-11-23T01:32:37.6847343Z  - 
2022-11-23T01:32:37.6847460Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6847547Z             {
2022-11-23T01:32:37.6847678Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6847834Z                 'code': ['___check_obj_id(model, 140123418699536)'],
2022-11-23T01:32:37.6848052Z                 'obj_weakref': <weakref at 0x7f7106792fb0; to 'Sequential' at 0x7f710698a710>
2022-11-23T01:32:37.6848284Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.6848349Z             }
2022-11-23T01:32:37.6848413Z             
2022-11-23T01:32:37.6848480Z  - 
2022-11-23T01:32:37.6848602Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6848652Z             {
2022-11-23T01:32:37.6848785Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6848999Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6849118Z                 'obj_weakref': None
2022-11-23T01:32:37.6849333Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6849397Z             }
2022-11-23T01:32:37.6849459Z             
2022-11-23T01:32:37.6849517Z  - 
2022-11-23T01:32:37.6849660Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.6849722Z             {
2022-11-23T01:32:37.6849843Z                 'guard_types': None,
2022-11-23T01:32:37.6849952Z                 'code': None,
2022-11-23T01:32:37.6850069Z                 'obj_weakref': None
2022-11-23T01:32:37.6850188Z                 'guarded_class': None
2022-11-23T01:32:37.6850239Z             }
2022-11-23T01:32:37.6850303Z             
2022-11-23T01:32:37.6850370Z  - 
2022-11-23T01:32:37.6850512Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.6850576Z             {
2022-11-23T01:32:37.6850695Z                 'guard_types': None,
2022-11-23T01:32:37.6850831Z                 'code': None,
2022-11-23T01:32:37.6850938Z                 'obj_weakref': None
2022-11-23T01:32:37.6851056Z                 'guarded_class': None
2022-11-23T01:32:37.6851118Z             }
2022-11-23T01:32:37.6851180Z             
2022-11-23T01:32:37.6851438Z [2022-11-23 01:23:00,819] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 255
2022-11-23T01:32:37.6851837Z [2022-11-23 01:23:03,358] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mw/cmwe5agwiwlae63rsuggp3igddrrh6dfyicsyomc6vwvbbibsb2y.py
2022-11-23T01:32:37.6852100Z [2022-11-23 01:23:03,359] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 255
2022-11-23T01:32:37.6852322Z [2022-11-23 01:23:03,368] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6852654Z [2022-11-23 01:23:03,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6852942Z [2022-11-23 01:23:03,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6853187Z [2022-11-23 01:23:03,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6853462Z [2022-11-23 01:23:03,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6853782Z [2022-11-23 01:23:03,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6854030Z [2022-11-23 01:23:03,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6854265Z [2022-11-23 01:23:03,380] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6854522Z [2022-11-23 01:23:03,381] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6854770Z [2022-11-23 01:23:03,391] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6854945Z [2022-11-23 01:23:03,391] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6855132Z  __compiled_fn_263 <eval_with_key>.1639 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6855224Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6855324Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.6855430Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.6855531Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.6855536Z 
2022-11-23T01:32:37.6855813Z [2022-11-23 01:23:03,392] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6855907Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6855986Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6856078Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6856172Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6856251Z               8 RETURN_VALUE
2022-11-23T01:32:37.6856256Z 
2022-11-23T01:32:37.6856319Z  
2022-11-23T01:32:37.6856597Z [2022-11-23 01:23:03,392] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6856705Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_263)
2022-11-23T01:32:37.6856785Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6856876Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6856955Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6857044Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.6857135Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6857212Z              12 RETURN_VALUE
2022-11-23T01:32:37.6857217Z 
2022-11-23T01:32:37.6857279Z  
2022-11-23T01:32:37.6857460Z [2022-11-23 01:23:03,394] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6857559Z  - 
2022-11-23T01:32:37.6857680Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6857744Z             {
2022-11-23T01:32:37.6857886Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6858071Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.6858198Z                 'obj_weakref': None
2022-11-23T01:32:37.6858450Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6858502Z             }
2022-11-23T01:32:37.6858567Z             
2022-11-23T01:32:37.6858634Z  - 
2022-11-23T01:32:37.6858759Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6858823Z             {
2022-11-23T01:32:37.6858969Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6859065Z                 'code': None,
2022-11-23T01:32:37.6859300Z                 'obj_weakref': <weakref at 0x7f70f28d89b0; to 'Tensor' at 0x7f71066971d0>
2022-11-23T01:32:37.6859549Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6859611Z             }
2022-11-23T01:32:37.6859680Z             
2022-11-23T01:32:37.6859750Z  - 
2022-11-23T01:32:37.6859874Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6859926Z             {
2022-11-23T01:32:37.6860060Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6860231Z                 'code': ['___check_obj_id(model, 140123086255760)'],
2022-11-23T01:32:37.6860445Z                 'obj_weakref': <weakref at 0x7f71065154d0; to 'Sequential' at 0x7f70f2c7f690>
2022-11-23T01:32:37.6860679Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.6860743Z             }
2022-11-23T01:32:37.6860803Z             
2022-11-23T01:32:37.6860870Z  - 
2022-11-23T01:32:37.6860979Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6868125Z             {
2022-11-23T01:32:37.6868359Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6868596Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6868720Z                 'obj_weakref': None
2022-11-23T01:32:37.6868942Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6869006Z             }
2022-11-23T01:32:37.6869056Z             
2022-11-23T01:32:37.6869129Z  - 
2022-11-23T01:32:37.6869277Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.6869339Z             {
2022-11-23T01:32:37.6869458Z                 'guard_types': None,
2022-11-23T01:32:37.6869563Z                 'code': None,
2022-11-23T01:32:37.6869668Z                 'obj_weakref': None
2022-11-23T01:32:37.6869790Z                 'guarded_class': None
2022-11-23T01:32:37.6869851Z             }
2022-11-23T01:32:37.6869914Z             
2022-11-23T01:32:37.6869979Z  - 
2022-11-23T01:32:37.6870126Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.6870187Z             {
2022-11-23T01:32:37.6870292Z                 'guard_types': None,
2022-11-23T01:32:37.6870398Z                 'code': None,
2022-11-23T01:32:37.6870514Z                 'obj_weakref': None
2022-11-23T01:32:37.6870632Z                 'guarded_class': None
2022-11-23T01:32:37.6870694Z             }
2022-11-23T01:32:37.6870756Z             
2022-11-23T01:32:37.6871022Z [2022-11-23 01:23:03,418] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 256
2022-11-23T01:32:37.6871029Z 
2022-11-23T01:32:37.6871034Z 
2022-11-23T01:32:37.6871127Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6871183Z import torch
2022-11-23T01:32:37.6871250Z import random
2022-11-23T01:32:37.6871367Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6871485Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6871490Z 
2022-11-23T01:32:37.6871694Z aten = torch.ops.aten
2022-11-23T01:32:37.6871828Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6871922Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6871927Z 
2022-11-23T01:32:37.6871931Z 
2022-11-23T01:32:37.6872053Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6872256Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6872413Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.6872476Z {
2022-11-23T01:32:37.6872574Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6872634Z     {
2022-11-23T01:32:37.6872711Z         #pragma omp for 
2022-11-23T01:32:37.6872782Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.6872843Z         {
2022-11-23T01:32:37.6872906Z             {
2022-11-23T01:32:37.6872969Z                 {
2022-11-23T01:32:37.6873088Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6873253Z                     auto tmp1 = std::exp(-tmp0);
2022-11-23T01:32:37.6873342Z                     auto tmp2 = 1 / (1 + tmp1);
2022-11-23T01:32:37.6873419Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6873483Z                 }
2022-11-23T01:32:37.6873545Z             }
2022-11-23T01:32:37.6873607Z         }
2022-11-23T01:32:37.6873667Z     }
2022-11-23T01:32:37.6873725Z }
2022-11-23T01:32:37.6873801Z ''')
2022-11-23T01:32:37.6873807Z 
2022-11-23T01:32:37.6873810Z 
2022-11-23T01:32:37.6873891Z async_compile.wait(globals())
2022-11-23T01:32:37.6873964Z del async_compile
2022-11-23T01:32:37.6873969Z 
2022-11-23T01:32:37.6874039Z def call(args):
2022-11-23T01:32:37.6874119Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.6874191Z     args.clear()
2022-11-23T01:32:37.6874389Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6874533Z     aten.mm.out(as_strided(arg1_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.6874602Z     del arg0_1
2022-11-23T01:32:37.6874656Z     del arg1_1
2022-11-23T01:32:37.6874773Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.6874924Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.6875030Z     return (buf1, )
2022-11-23T01:32:37.6875037Z 
2022-11-23T01:32:37.6875043Z 
2022-11-23T01:32:37.6875157Z if __name__ == "__main__":
2022-11-23T01:32:37.6875312Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6875477Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6875673Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6875879Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6875993Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.6875998Z 
2022-11-23T01:32:37.6876003Z 
2022-11-23T01:32:37.6876100Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6876172Z import torch
2022-11-23T01:32:37.6876242Z import random
2022-11-23T01:32:37.6876354Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6876472Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6876477Z 
2022-11-23T01:32:37.6876542Z aten = torch.ops.aten
2022-11-23T01:32:37.6876673Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6876766Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6876771Z 
2022-11-23T01:32:37.6876778Z 
2022-11-23T01:32:37.6876910Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6877214Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6877335Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.6877395Z {
2022-11-23T01:32:37.6877491Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6877540Z     {
2022-11-23T01:32:37.6877616Z         #pragma omp for 
2022-11-23T01:32:37.6877770Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.6877832Z         {
2022-11-23T01:32:37.6877896Z             {
2022-11-23T01:32:37.6877961Z                 {
2022-11-23T01:32:37.6878080Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6878221Z                     auto tmp1 = std::exp(-tmp0);
2022-11-23T01:32:37.6878310Z                     auto tmp2 = 1 / (1 + tmp1);
2022-11-23T01:32:37.6878403Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6878518Z                 }
2022-11-23T01:32:37.6878582Z             }
2022-11-23T01:32:37.6878643Z         }
2022-11-23T01:32:37.6878704Z     }
2022-11-23T01:32:37.6878750Z }
2022-11-23T01:32:37.6878827Z ''')
2022-11-23T01:32:37.6878832Z 
2022-11-23T01:32:37.6878836Z 
2022-11-23T01:32:37.6878923Z async_compile.wait(globals())
2022-11-23T01:32:37.6878995Z del async_compile
2022-11-23T01:32:37.6879000Z 
2022-11-23T01:32:37.6879068Z def call(args):
2022-11-23T01:32:37.6879149Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.6879222Z     args.clear()
2022-11-23T01:32:37.6879407Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6879557Z     aten.addmm.out(arg1_1, arg2_1, as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.6879625Z     del arg0_1
2022-11-23T01:32:37.6879691Z     del arg1_1
2022-11-23T01:32:37.6879756Z     del arg2_1
2022-11-23T01:32:37.6879840Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.6879943Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.6880003Z     return (buf1, )
2022-11-23T01:32:37.6880008Z 
2022-11-23T01:32:37.6880024Z 
2022-11-23T01:32:37.6880085Z if __name__ == "__main__":
2022-11-23T01:32:37.6880198Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6880317Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6880522Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6880718Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6880913Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6881033Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.6881038Z 
2022-11-23T01:32:37.6881043Z 
2022-11-23T01:32:37.6881134Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6881190Z import torch
2022-11-23T01:32:37.6881260Z import random
2022-11-23T01:32:37.6881373Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6881492Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6881497Z 
2022-11-23T01:32:37.6881575Z aten = torch.ops.aten
2022-11-23T01:32:37.6881706Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6881796Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6881801Z 
2022-11-23T01:32:37.6881805Z 
2022-11-23T01:32:37.6881924Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6882129Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6882248Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.6882308Z {
2022-11-23T01:32:37.6882404Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6882465Z     {
2022-11-23T01:32:37.6882541Z         #pragma omp for 
2022-11-23T01:32:37.6882612Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.6882674Z         {
2022-11-23T01:32:37.6882738Z             {
2022-11-23T01:32:37.6882801Z                 {
2022-11-23T01:32:37.6882920Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6883066Z                     auto tmp1 = std::exp(-tmp0);
2022-11-23T01:32:37.6883155Z                     auto tmp2 = 1 / (1 + tmp1);
2022-11-23T01:32:37.6883233Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.6883297Z                 }
2022-11-23T01:32:37.6883359Z             }
2022-11-23T01:32:37.6883451Z         }
2022-11-23T01:32:37.6883510Z     }
2022-11-23T01:32:37.6883569Z }
2022-11-23T01:32:37.6883645Z ''')
2022-11-23T01:32:37.6883651Z 
2022-11-23T01:32:37.6883655Z 
2022-11-23T01:32:37.6883733Z async_compile.wait(globals())
2022-11-23T01:32:37.6883804Z del async_compile
2022-11-23T01:32:37.6883809Z 
2022-11-23T01:32:37.6883877Z def call(args):
2022-11-23T01:32:37.6883953Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.6884023Z     args.clear()
2022-11-23T01:32:37.6884248Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6884369Z     aten.mm.out(arg1_1, as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.6884424Z     del arg0_1
2022-11-23T01:32:37.6884490Z     del arg1_1
2022-11-23T01:32:37.6884574Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.6884679Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.6884749Z     return (buf1, )
2022-11-23T01:32:37.6884754Z 
2022-11-23T01:32:37.6884758Z 
2022-11-23T01:32:37.6884834Z if __name__ == "__main__":
2022-11-23T01:32:37.6884947Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6885066Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6885254Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6885449Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6885562Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.6885569Z 
2022-11-23T01:32:37.6885573Z 
2022-11-23T01:32:37.6885665Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6885733Z import torch
2022-11-23T01:32:37.6885801Z import random
2022-11-23T01:32:37.6885913Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6886032Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6886037Z 
2022-11-23T01:32:37.6886102Z aten = torch.ops.aten
2022-11-23T01:32:37.6886233Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6886325Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6886330Z 
2022-11-23T01:32:37.6886334Z 
2022-11-23T01:32:37.6886466Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6886672Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6886789Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.6886848Z {
2022-11-23T01:32:37.6886946Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6886994Z     {
2022-11-23T01:32:37.6887071Z         #pragma omp for 
2022-11-23T01:32:37.6887153Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.6887216Z         {
2022-11-23T01:32:37.6887277Z             {
2022-11-23T01:32:37.6887341Z                 {
2022-11-23T01:32:37.6887448Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6887610Z                     auto tmp1 = static_cast<bfloat16>(-2.0);
2022-11-23T01:32:37.6887704Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:37.6887802Z                     auto tmp3 = std::exp(tmp2);
2022-11-23T01:32:37.6887909Z                     auto tmp4 = static_cast<bfloat16>(1.0);
2022-11-23T01:32:37.6887997Z                     auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.6888081Z                     auto tmp6 = 1 / tmp5;
2022-11-23T01:32:37.6888187Z                     auto tmp7 = static_cast<bfloat16>(2.0);
2022-11-23T01:32:37.6888264Z                     auto tmp8 = tmp6 * tmp7;
2022-11-23T01:32:37.6888400Z                     auto tmp9 = tmp8 - tmp4;
2022-11-23T01:32:37.6888487Z                     in_out_ptr0[i0] = tmp9;
2022-11-23T01:32:37.6888551Z                 }
2022-11-23T01:32:37.6888614Z             }
2022-11-23T01:32:37.6888677Z         }
2022-11-23T01:32:37.6888726Z     }
2022-11-23T01:32:37.6888785Z }
2022-11-23T01:32:37.6888862Z ''')
2022-11-23T01:32:37.6888867Z 
2022-11-23T01:32:37.6888871Z 
2022-11-23T01:32:37.6888959Z async_compile.wait(globals())
2022-11-23T01:32:37.6889063Z del async_compile
2022-11-23T01:32:37.6889068Z 
2022-11-23T01:32:37.6889138Z def call(args):
2022-11-23T01:32:37.6889219Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.6889290Z     args.clear()
2022-11-23T01:32:37.6889478Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6889649Z     aten.addmm.out(arg1_1, as_strided(arg2_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.6889746Z     del arg0_1
2022-11-23T01:32:37.6889815Z     del arg1_1
2022-11-23T01:32:37.6889880Z     del arg2_1
2022-11-23T01:32:37.6889996Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.6890096Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.6890155Z     return (buf1, )
2022-11-23T01:32:37.6890161Z 
2022-11-23T01:32:37.6890177Z 
2022-11-23T01:32:37.6890240Z if __name__ == "__main__":
2022-11-23T01:32:37.6890350Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6890475Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6890675Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6890868Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6891069Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6891194Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.6891198Z 
2022-11-23T01:32:37.6891202Z 
2022-11-23T01:32:37.6891296Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6891354Z import torch
2022-11-23T01:32:37.6891423Z import random
2022-11-23T01:32:37.6891537Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6891657Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6891661Z 
2022-11-23T01:32:37.6891737Z aten = torch.ops.aten
2022-11-23T01:32:37.6891869Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6891960Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6891965Z 
2022-11-23T01:32:37.6891969Z 
2022-11-23T01:32:37.6892100Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6892292Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6892410Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.6892469Z {
2022-11-23T01:32:37.6892566Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6892626Z     {
2022-11-23T01:32:37.6892704Z         #pragma omp for 
2022-11-23T01:32:37.6892774Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.6892837Z         {
2022-11-23T01:32:37.6892899Z             {
2022-11-23T01:32:37.6892962Z                 {
2022-11-23T01:32:37.6893080Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6893243Z                     auto tmp1 = static_cast<bfloat16>(-2.0);
2022-11-23T01:32:37.6893336Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:37.6893421Z                     auto tmp3 = std::exp(tmp2);
2022-11-23T01:32:37.6893528Z                     auto tmp4 = static_cast<bfloat16>(1.0);
2022-11-23T01:32:37.6893618Z                     auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.6893705Z                     auto tmp6 = 1 / tmp5;
2022-11-23T01:32:37.6893812Z                     auto tmp7 = static_cast<bfloat16>(2.0);
2022-11-23T01:32:37.6893902Z                     auto tmp8 = tmp6 * tmp7;
2022-11-23T01:32:37.6894032Z                     auto tmp9 = tmp8 - tmp4;
2022-11-23T01:32:37.6894120Z                     in_out_ptr0[i0] = tmp9;
2022-11-23T01:32:37.6894173Z                 }
2022-11-23T01:32:37.6894236Z             }
2022-11-23T01:32:37.6894301Z         }
2022-11-23T01:32:37.6894361Z     }
2022-11-23T01:32:37.6894420Z }
2022-11-23T01:32:37.6894496Z ''')
2022-11-23T01:32:37.6894501Z 
2022-11-23T01:32:37.6894504Z 
2022-11-23T01:32:37.6894593Z async_compile.wait(globals())
2022-11-23T01:32:37.6894686Z del async_compile
2022-11-23T01:32:37.6894690Z 
2022-11-23T01:32:37.6894759Z def call(args):
2022-11-23T01:32:37.6894832Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.6894902Z     args.clear()
2022-11-23T01:32:37.6895100Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6895244Z     aten.mm.out(as_strided(arg1_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.6895338Z     del arg0_1
2022-11-23T01:32:37.6895392Z     del arg1_1
2022-11-23T01:32:37.6895506Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.6895610Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.6895684Z     return (buf1, )
2022-11-23T01:32:37.6895689Z 
2022-11-23T01:32:37.6895693Z 
2022-11-23T01:32:37.6895768Z if __name__ == "__main__":
2022-11-23T01:32:37.6895879Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6895999Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6896203Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6896396Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6896512Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.6896886Z [2022-11-23 01:23:03,436] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rg/crgb3oii5caocrl3xxtlilnqaq2wfo3lanhgtsozu3ssybkrswll.py
2022-11-23T01:32:37.6897152Z [2022-11-23 01:23:03,436] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 256
2022-11-23T01:32:37.6897389Z [2022-11-23 01:23:03,442] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6897656Z [2022-11-23 01:23:03,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6897871Z [2022-11-23 01:23:03,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6898116Z [2022-11-23 01:23:03,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6898390Z [2022-11-23 01:23:03,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6898696Z [2022-11-23 01:23:03,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6898942Z [2022-11-23 01:23:03,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6899173Z [2022-11-23 01:23:03,463] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6899424Z [2022-11-23 01:23:03,465] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6899672Z [2022-11-23 01:23:03,483] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6899859Z [2022-11-23 01:23:03,484] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6899992Z  __compiled_fn_264 <eval_with_key>.1645 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6900081Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6900167Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.6900268Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.6900368Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.6900373Z 
2022-11-23T01:32:37.6900646Z [2022-11-23 01:23:03,484] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6900738Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6900828Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6900919Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6901010Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6901105Z               8 RETURN_VALUE
2022-11-23T01:32:37.6901110Z 
2022-11-23T01:32:37.6901170Z  
2022-11-23T01:32:37.6901446Z [2022-11-23 01:23:03,484] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6901552Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_264)
2022-11-23T01:32:37.6901645Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6901761Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6901839Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6901927Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.6902004Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6902079Z              12 RETURN_VALUE
2022-11-23T01:32:37.6902084Z 
2022-11-23T01:32:37.6902143Z  
2022-11-23T01:32:37.6902326Z [2022-11-23 01:23:03,486] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6902393Z  - 
2022-11-23T01:32:37.6902511Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6902578Z             {
2022-11-23T01:32:37.6902704Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6902889Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.6903011Z                 'obj_weakref': None
2022-11-23T01:32:37.6903234Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6903298Z             }
2022-11-23T01:32:37.6903363Z             
2022-11-23T01:32:37.6903432Z  - 
2022-11-23T01:32:37.6903544Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6903606Z             {
2022-11-23T01:32:37.6903745Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6903851Z                 'code': None,
2022-11-23T01:32:37.6904056Z                 'obj_weakref': <weakref at 0x7f7106722b30; to 'Tensor' at 0x7f7106de0cb0>
2022-11-23T01:32:37.6904301Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6904366Z             }
2022-11-23T01:32:37.6904417Z             
2022-11-23T01:32:37.6904578Z  - 
2022-11-23T01:32:37.6904702Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6904765Z             {
2022-11-23T01:32:37.6904897Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6905065Z                 'code': ['___check_obj_id(model, 140126549229520)'],
2022-11-23T01:32:37.6905282Z                 'obj_weakref': <weakref at 0x7f7106694ad0; to 'Sequential' at 0x7f71c130bfd0>
2022-11-23T01:32:37.6905501Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.6905569Z             }
2022-11-23T01:32:37.6905634Z             
2022-11-23T01:32:37.6905702Z  - 
2022-11-23T01:32:37.6905822Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6905885Z             {
2022-11-23T01:32:37.6906020Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6906227Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6906346Z                 'obj_weakref': None
2022-11-23T01:32:37.6906564Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6906626Z             }
2022-11-23T01:32:37.6906690Z             
2022-11-23T01:32:37.6906756Z  - 
2022-11-23T01:32:37.6906900Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.6906953Z             {
2022-11-23T01:32:37.6907072Z                 'guard_types': None,
2022-11-23T01:32:37.6907179Z                 'code': None,
2022-11-23T01:32:37.6907296Z                 'obj_weakref': None
2022-11-23T01:32:37.6907414Z                 'guarded_class': None
2022-11-23T01:32:37.6907475Z             }
2022-11-23T01:32:37.6907536Z             
2022-11-23T01:32:37.6907592Z  - 
2022-11-23T01:32:37.6907733Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.6907837Z             {
2022-11-23T01:32:37.6907956Z                 'guard_types': None,
2022-11-23T01:32:37.6908060Z                 'code': None,
2022-11-23T01:32:37.6908180Z                 'obj_weakref': None
2022-11-23T01:32:37.6908288Z                 'guarded_class': None
2022-11-23T01:32:37.6908350Z             }
2022-11-23T01:32:37.6908410Z             
2022-11-23T01:32:37.6908668Z [2022-11-23 01:23:03,516] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 257
2022-11-23T01:32:37.6909072Z [2022-11-23 01:23:06,060] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dg/cdgv7qvgpuohqavveuxoiwzepfd3nz5waat377ma5lpkqo3cmzyv.py
2022-11-23T01:32:37.6909340Z [2022-11-23 01:23:06,061] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 257
2022-11-23T01:32:37.6909576Z [2022-11-23 01:23:06,071] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6909842Z [2022-11-23 01:23:06,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6910063Z [2022-11-23 01:23:06,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6910293Z [2022-11-23 01:23:06,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6910567Z [2022-11-23 01:23:06,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6910884Z [2022-11-23 01:23:06,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6911130Z [2022-11-23 01:23:06,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6911363Z [2022-11-23 01:23:06,081] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6911615Z [2022-11-23 01:23:06,082] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6911863Z [2022-11-23 01:23:06,090] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6912050Z [2022-11-23 01:23:06,090] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6912183Z  __compiled_fn_265 <eval_with_key>.1651 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6912259Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6912359Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.6912459Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.6912556Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.6912562Z 
2022-11-23T01:32:37.6912838Z [2022-11-23 01:23:06,091] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6912929Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6913019Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6913112Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6913191Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6913266Z               8 RETURN_VALUE
2022-11-23T01:32:37.6913271Z 
2022-11-23T01:32:37.6913331Z  
2022-11-23T01:32:37.6913607Z [2022-11-23 01:23:06,091] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6913716Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_265)
2022-11-23T01:32:37.6913805Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6913894Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6913958Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6914046Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.6914136Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6914212Z              12 RETURN_VALUE
2022-11-23T01:32:37.6914217Z 
2022-11-23T01:32:37.6914277Z  
2022-11-23T01:32:37.6914488Z [2022-11-23 01:23:06,125] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6914557Z  - 
2022-11-23T01:32:37.6914661Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6914725Z             {
2022-11-23T01:32:37.6914864Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6915048Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.6915167Z                 'obj_weakref': None
2022-11-23T01:32:37.6915442Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6915507Z             }
2022-11-23T01:32:37.6915558Z             
2022-11-23T01:32:37.6915625Z  - 
2022-11-23T01:32:37.6915747Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6915809Z             {
2022-11-23T01:32:37.6915948Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6916053Z                 'code': None,
2022-11-23T01:32:37.6916261Z                 'obj_weakref': <weakref at 0x7f70f2d72b30; to 'Tensor' at 0x7f70f2e065f0>
2022-11-23T01:32:37.6916498Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6916560Z             }
2022-11-23T01:32:37.6916622Z             
2022-11-23T01:32:37.6916689Z  - 
2022-11-23T01:32:37.6916809Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6916871Z             {
2022-11-23T01:32:37.6917004Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6917294Z                 'code': ['___check_obj_id(model, 140126545422544)'],
2022-11-23T01:32:37.6917511Z                 'obj_weakref': <weakref at 0x7f71c222f5f0; to 'Sequential' at 0x7f71c0f6a8d0>
2022-11-23T01:32:37.6917742Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.6917805Z             }
2022-11-23T01:32:37.6917868Z             
2022-11-23T01:32:37.6917937Z  - 
2022-11-23T01:32:37.6918058Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6918110Z             {
2022-11-23T01:32:37.6918244Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6918458Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6918578Z                 'obj_weakref': None
2022-11-23T01:32:37.6918796Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6918864Z             }
2022-11-23T01:32:37.6918928Z             
2022-11-23T01:32:37.6918985Z  - 
2022-11-23T01:32:37.6919127Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.6919190Z             {
2022-11-23T01:32:37.6919309Z                 'guard_types': None,
2022-11-23T01:32:37.6919414Z                 'code': None,
2022-11-23T01:32:37.6919530Z                 'obj_weakref': None
2022-11-23T01:32:37.6919651Z                 'guarded_class': None
2022-11-23T01:32:37.6919701Z             }
2022-11-23T01:32:37.6919765Z             
2022-11-23T01:32:37.6919835Z  - 
2022-11-23T01:32:37.6919976Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.6920038Z             {
2022-11-23T01:32:37.6920157Z                 'guard_types': None,
2022-11-23T01:32:37.6920262Z                 'code': None,
2022-11-23T01:32:37.6920366Z                 'obj_weakref': None
2022-11-23T01:32:37.6920485Z                 'guarded_class': None
2022-11-23T01:32:37.6920546Z             }
2022-11-23T01:32:37.6920608Z             
2022-11-23T01:32:37.6920869Z [2022-11-23 01:23:06,146] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 258
2022-11-23T01:32:37.6921239Z [2022-11-23 01:23:06,161] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k7/ck7wgzvsnserkodomvyz3rrgczk5n7rnbteyvdycw3faukprrv5q.py
2022-11-23T01:32:37.6921500Z [2022-11-23 01:23:06,161] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 258
2022-11-23T01:32:37.6921734Z [2022-11-23 01:23:06,167] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6922048Z [2022-11-23 01:23:06,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6922263Z [2022-11-23 01:23:06,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6922503Z [2022-11-23 01:23:06,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6922859Z [2022-11-23 01:23:06,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6923173Z [2022-11-23 01:23:06,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6923416Z [2022-11-23 01:23:06,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6923646Z [2022-11-23 01:23:06,198] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6923898Z [2022-11-23 01:23:06,199] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6924144Z [2022-11-23 01:23:06,226] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6924318Z [2022-11-23 01:23:06,227] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6924452Z  __compiled_fn_266 <eval_with_key>.1657 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6924542Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6924639Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.6924739Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.6924835Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.6924841Z 
2022-11-23T01:32:37.6925116Z [2022-11-23 01:23:06,227] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6925211Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6925289Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6925380Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6925469Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6925544Z               8 RETURN_VALUE
2022-11-23T01:32:37.6925549Z 
2022-11-23T01:32:37.6925609Z  
2022-11-23T01:32:37.6925882Z [2022-11-23 01:23:06,227] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6925990Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_266)
2022-11-23T01:32:37.6926079Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6926157Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6926234Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6926322Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.6926412Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6926488Z              12 RETURN_VALUE
2022-11-23T01:32:37.6926493Z 
2022-11-23T01:32:37.6926552Z  
2022-11-23T01:32:37.6926730Z [2022-11-23 01:23:06,228] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6926786Z  - 
2022-11-23T01:32:37.6926905Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6926969Z             {
2022-11-23T01:32:37.6927106Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6927291Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.6927409Z                 'obj_weakref': None
2022-11-23T01:32:37.6927631Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6927685Z             }
2022-11-23T01:32:37.6927747Z             
2022-11-23T01:32:37.6927814Z  - 
2022-11-23T01:32:37.6927937Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6927999Z             {
2022-11-23T01:32:37.6928140Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6928277Z                 'code': None,
2022-11-23T01:32:37.6928472Z                 'obj_weakref': <weakref at 0x7f71c222f530; to 'Tensor' at 0x7f7106515e30>
2022-11-23T01:32:37.6928719Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6928785Z             }
2022-11-23T01:32:37.6928849Z             
2022-11-23T01:32:37.6928916Z  - 
2022-11-23T01:32:37.6929062Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6929125Z             {
2022-11-23T01:32:37.6929246Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6929413Z                 'code': ['___check_obj_id(model, 140123416462672)'],
2022-11-23T01:32:37.6929625Z                 'obj_weakref': <weakref at 0x7f7106754110; to 'Sequential' at 0x7f7106768550>
2022-11-23T01:32:37.6929853Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.6929920Z             }
2022-11-23T01:32:37.6929981Z             
2022-11-23T01:32:37.6930048Z  - 
2022-11-23T01:32:37.6930157Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6930219Z             {
2022-11-23T01:32:37.6930356Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6930575Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6930692Z                 'obj_weakref': None
2022-11-23T01:32:37.6930909Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6930973Z             }
2022-11-23T01:32:37.6931023Z             
2022-11-23T01:32:37.6931090Z  - 
2022-11-23T01:32:37.6931233Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.6931296Z             {
2022-11-23T01:32:37.6931415Z                 'guard_types': None,
2022-11-23T01:32:37.6931520Z                 'code': None,
2022-11-23T01:32:37.6931636Z                 'obj_weakref': None
2022-11-23T01:32:37.6931745Z                 'guarded_class': None
2022-11-23T01:32:37.6931807Z             }
2022-11-23T01:32:37.6931868Z             
2022-11-23T01:32:37.6931936Z  - 
2022-11-23T01:32:37.6932078Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.6932138Z             {
2022-11-23T01:32:37.6932244Z                 'guard_types': None,
2022-11-23T01:32:37.6932349Z                 'code': None,
2022-11-23T01:32:37.6932466Z                 'obj_weakref': None
2022-11-23T01:32:37.6932587Z                 'guarded_class': None
2022-11-23T01:32:37.6932649Z             }
2022-11-23T01:32:37.6932712Z             
2022-11-23T01:32:37.6932970Z [2022-11-23 01:23:06,267] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 259
2022-11-23T01:32:37.6933340Z [2022-11-23 01:23:08,857] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/o3/co3jmqed6wnmghfehju7hue2f3y44irgijheugvugzqtfszjkdyj.py
2022-11-23T01:32:37.6933590Z [2022-11-23 01:23:08,858] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 259
2022-11-23T01:32:37.6933825Z [2022-11-23 01:23:08,870] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6934092Z [2022-11-23 01:23:08,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6934306Z [2022-11-23 01:23:08,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6934547Z [2022-11-23 01:23:08,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6934821Z [2022-11-23 01:23:08,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6935135Z [2022-11-23 01:23:08,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6935382Z [2022-11-23 01:23:08,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6935651Z [2022-11-23 01:23:08,899] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6935889Z [2022-11-23 01:23:08,901] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6936134Z [2022-11-23 01:23:08,925] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6936350Z [2022-11-23 01:23:08,925] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6936484Z  __compiled_fn_267 <eval_with_key>.1663 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6936572Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6936670Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.6936769Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.6936866Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.6936873Z 
2022-11-23T01:32:37.6937136Z [2022-11-23 01:23:08,926] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6937229Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6937320Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6937410Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6937500Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6937579Z               8 RETURN_VALUE
2022-11-23T01:32:37.6937584Z 
2022-11-23T01:32:37.6937643Z  
2022-11-23T01:32:37.6937916Z [2022-11-23 01:23:08,926] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6938009Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_267)
2022-11-23T01:32:37.6938101Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6938187Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6938262Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6938352Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.6938440Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6938515Z              12 RETURN_VALUE
2022-11-23T01:32:37.6938520Z 
2022-11-23T01:32:37.6938566Z  
2022-11-23T01:32:37.6938746Z [2022-11-23 01:23:08,928] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6938813Z  - 
2022-11-23T01:32:37.6938931Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6938998Z             {
2022-11-23T01:32:37.6939138Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6939320Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.6939427Z                 'obj_weakref': None
2022-11-23T01:32:37.6939651Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6939715Z             }
2022-11-23T01:32:37.6939777Z             
2022-11-23T01:32:37.6939844Z  - 
2022-11-23T01:32:37.6939968Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6940031Z             {
2022-11-23T01:32:37.6940159Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6940264Z                 'code': None,
2022-11-23T01:32:37.6940468Z                 'obj_weakref': <weakref at 0x7f70f2944530; to 'Tensor' at 0x7f71068d1cb0>
2022-11-23T01:32:37.6940713Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6940777Z             }
2022-11-23T01:32:37.6940839Z             
2022-11-23T01:32:37.6940907Z  - 
2022-11-23T01:32:37.6941012Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6941075Z             {
2022-11-23T01:32:37.6941210Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6941378Z                 'code': ['___check_obj_id(model, 140126549229520)'],
2022-11-23T01:32:37.6941596Z                 'obj_weakref': <weakref at 0x7f70f2944bf0; to 'Sequential' at 0x7f71c130bfd0>
2022-11-23T01:32:37.6941858Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.6941920Z             }
2022-11-23T01:32:37.6941982Z             
2022-11-23T01:32:37.6942037Z  - 
2022-11-23T01:32:37.6942157Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6942220Z             {
2022-11-23T01:32:37.6942355Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6942598Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6942717Z                 'obj_weakref': None
2022-11-23T01:32:37.6942935Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6942987Z             }
2022-11-23T01:32:37.6943050Z             
2022-11-23T01:32:37.6943117Z  - 
2022-11-23T01:32:37.6943263Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.6943326Z             {
2022-11-23T01:32:37.6943448Z                 'guard_types': None,
2022-11-23T01:32:37.6943541Z                 'code': None,
2022-11-23T01:32:37.6943657Z                 'obj_weakref': None
2022-11-23T01:32:37.6943775Z                 'guarded_class': None
2022-11-23T01:32:37.6943836Z             }
2022-11-23T01:32:37.6943897Z             
2022-11-23T01:32:37.6943964Z  - 
2022-11-23T01:32:37.6944105Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.6944155Z             {
2022-11-23T01:32:37.6944275Z                 'guard_types': None,
2022-11-23T01:32:37.6944380Z                 'code': None,
2022-11-23T01:32:37.6944587Z                 'obj_weakref': None
2022-11-23T01:32:37.6944710Z                 'guarded_class': None
2022-11-23T01:32:37.6944771Z             }
2022-11-23T01:32:37.6944833Z             
2022-11-23T01:32:37.6945078Z [2022-11-23 01:23:08,970] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 260
2022-11-23T01:32:37.6945083Z 
2022-11-23T01:32:37.6945099Z 
2022-11-23T01:32:37.6945182Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6945251Z import torch
2022-11-23T01:32:37.6945319Z import random
2022-11-23T01:32:37.6945432Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6945553Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6945558Z 
2022-11-23T01:32:37.6945635Z aten = torch.ops.aten
2022-11-23T01:32:37.6945767Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6945862Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6945870Z 
2022-11-23T01:32:37.6945875Z 
2022-11-23T01:32:37.6946071Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6946304Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6946424Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.6946484Z {
2022-11-23T01:32:37.6946583Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6946642Z     {
2022-11-23T01:32:37.6946711Z         #pragma omp for 
2022-11-23T01:32:37.6946793Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.6946855Z         {
2022-11-23T01:32:37.6946917Z             {
2022-11-23T01:32:37.6946980Z                 {
2022-11-23T01:32:37.6947100Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6947266Z                     auto tmp1 = static_cast<bfloat16>(-2.0);
2022-11-23T01:32:37.6947345Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:37.6947453Z                     auto tmp3 = std::exp(tmp2);
2022-11-23T01:32:37.6947561Z                     auto tmp4 = static_cast<bfloat16>(1.0);
2022-11-23T01:32:37.6947651Z                     auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.6947735Z                     auto tmp6 = 1 / tmp5;
2022-11-23T01:32:37.6947841Z                     auto tmp7 = static_cast<bfloat16>(2.0);
2022-11-23T01:32:37.6947930Z                     auto tmp8 = tmp6 * tmp7;
2022-11-23T01:32:37.6948049Z                     auto tmp9 = tmp8 - tmp4;
2022-11-23T01:32:37.6948186Z                     in_out_ptr0[i0] = tmp9;
2022-11-23T01:32:37.6948249Z                 }
2022-11-23T01:32:37.6948311Z             }
2022-11-23T01:32:37.6948373Z         }
2022-11-23T01:32:37.6948434Z     }
2022-11-23T01:32:37.6948494Z }
2022-11-23T01:32:37.6948562Z ''')
2022-11-23T01:32:37.6948566Z 
2022-11-23T01:32:37.6948570Z 
2022-11-23T01:32:37.6948659Z async_compile.wait(globals())
2022-11-23T01:32:37.6948731Z del async_compile
2022-11-23T01:32:37.6948765Z 
2022-11-23T01:32:37.6948836Z def call(args):
2022-11-23T01:32:37.6948919Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.6948989Z     args.clear()
2022-11-23T01:32:37.6949188Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6949341Z     aten.addmm.out(arg1_1, arg2_1, as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.6949397Z     del arg0_1
2022-11-23T01:32:37.6949461Z     del arg1_1
2022-11-23T01:32:37.6949532Z     del arg2_1
2022-11-23T01:32:37.6949619Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.6949721Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.6949791Z     return (buf1, )
2022-11-23T01:32:37.6949796Z 
2022-11-23T01:32:37.6949800Z 
2022-11-23T01:32:37.6949874Z if __name__ == "__main__":
2022-11-23T01:32:37.6949973Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6950095Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6950298Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6950493Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6950687Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6950806Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.6950811Z 
2022-11-23T01:32:37.6950815Z 
2022-11-23T01:32:37.6950909Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6950979Z import torch
2022-11-23T01:32:37.6951037Z import random
2022-11-23T01:32:37.6951150Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6951270Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6951274Z 
2022-11-23T01:32:37.6951352Z aten = torch.ops.aten
2022-11-23T01:32:37.6951483Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6951572Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6951578Z 
2022-11-23T01:32:37.6951584Z 
2022-11-23T01:32:37.6951716Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6951918Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6952024Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.6952084Z {
2022-11-23T01:32:37.6952181Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6952242Z     {
2022-11-23T01:32:37.6952318Z         #pragma omp for 
2022-11-23T01:32:37.6952401Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.6952465Z         {
2022-11-23T01:32:37.6952515Z             {
2022-11-23T01:32:37.6952578Z                 {
2022-11-23T01:32:37.6952697Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6952859Z                     auto tmp1 = static_cast<bfloat16>(-2.0);
2022-11-23T01:32:37.6952950Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:37.6953051Z                     auto tmp3 = std::exp(tmp2);
2022-11-23T01:32:37.6953158Z                     auto tmp4 = static_cast<bfloat16>(1.0);
2022-11-23T01:32:37.6953236Z                     auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.6953320Z                     auto tmp6 = 1 / tmp5;
2022-11-23T01:32:37.6953426Z                     auto tmp7 = static_cast<bfloat16>(2.0);
2022-11-23T01:32:37.6953515Z                     auto tmp8 = tmp6 * tmp7;
2022-11-23T01:32:37.6953646Z                     auto tmp9 = tmp8 - tmp4;
2022-11-23T01:32:37.6953734Z                     in_out_ptr0[i0] = tmp9;
2022-11-23T01:32:37.6953830Z                 }
2022-11-23T01:32:37.6953881Z             }
2022-11-23T01:32:37.6953941Z         }
2022-11-23T01:32:37.6954003Z     }
2022-11-23T01:32:37.6954063Z }
2022-11-23T01:32:37.6954141Z ''')
2022-11-23T01:32:37.6954146Z 
2022-11-23T01:32:37.6954150Z 
2022-11-23T01:32:37.6954238Z async_compile.wait(globals())
2022-11-23T01:32:37.6954307Z del async_compile
2022-11-23T01:32:37.6954312Z 
2022-11-23T01:32:37.6954369Z def call(args):
2022-11-23T01:32:37.6954470Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.6954540Z     args.clear()
2022-11-23T01:32:37.6954741Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6954860Z     aten.mm.out(arg1_1, as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.6954932Z     del arg0_1
2022-11-23T01:32:37.6954998Z     del arg1_1
2022-11-23T01:32:37.6955070Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.6955170Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.6955243Z     return (buf1, )
2022-11-23T01:32:37.6955248Z 
2022-11-23T01:32:37.6955252Z 
2022-11-23T01:32:37.6955329Z if __name__ == "__main__":
2022-11-23T01:32:37.6955440Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6955562Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6955763Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6955962Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6956062Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.6956067Z 
2022-11-23T01:32:37.6956083Z 
2022-11-23T01:32:37.6956163Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6956231Z import torch
2022-11-23T01:32:37.6956300Z import random
2022-11-23T01:32:37.6956412Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6956531Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6956540Z 
2022-11-23T01:32:37.6956655Z aten = torch.ops.aten
2022-11-23T01:32:37.6956846Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6956943Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6956948Z 
2022-11-23T01:32:37.6956952Z 
2022-11-23T01:32:37.6957089Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6957415Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6957538Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.6957597Z {
2022-11-23T01:32:37.6957694Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6957754Z     {
2022-11-23T01:32:37.6957819Z         #pragma omp for 
2022-11-23T01:32:37.6957902Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.6957963Z         {
2022-11-23T01:32:37.6958026Z             {
2022-11-23T01:32:37.6958090Z                 {
2022-11-23T01:32:37.6958207Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6958315Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.6958406Z                     auto tmp2 = static_cast<float>(3);
2022-11-23T01:32:37.6958496Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:37.6958599Z                     auto tmp4 = static_cast<float>(0.0);
2022-11-23T01:32:37.6958706Z                     auto tmp5 = std::max(tmp3, tmp4);
2022-11-23T01:32:37.6958810Z                     auto tmp6 = static_cast<float>(6.0);
2022-11-23T01:32:37.6958914Z                     auto tmp7 = std::min(tmp5, tmp6);
2022-11-23T01:32:37.6959002Z                     auto tmp8 = tmp1 * tmp7;
2022-11-23T01:32:37.6959104Z                     auto tmp9 = static_cast<float>(6);
2022-11-23T01:32:37.6959182Z                     auto tmp10 = tmp8 / tmp9;
2022-11-23T01:32:37.6959293Z                     auto tmp11 = static_cast<bfloat16>(tmp10);
2022-11-23T01:32:37.6959381Z                     in_out_ptr0[i0] = tmp11;
2022-11-23T01:32:37.6959517Z                 }
2022-11-23T01:32:37.6959581Z             }
2022-11-23T01:32:37.6959642Z         }
2022-11-23T01:32:37.6959705Z     }
2022-11-23T01:32:37.6959752Z }
2022-11-23T01:32:37.6959832Z ''')
2022-11-23T01:32:37.6959837Z 
2022-11-23T01:32:37.6959841Z 
2022-11-23T01:32:37.6959931Z async_compile.wait(globals())
2022-11-23T01:32:37.6960001Z del async_compile
2022-11-23T01:32:37.6960006Z 
2022-11-23T01:32:37.6960076Z def call(args):
2022-11-23T01:32:37.6960193Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.6960266Z     args.clear()
2022-11-23T01:32:37.6960457Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6960627Z     aten.addmm.out(arg1_1, as_strided(arg2_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.6960695Z     del arg0_1
2022-11-23T01:32:37.6960762Z     del arg1_1
2022-11-23T01:32:37.6960827Z     del arg2_1
2022-11-23T01:32:37.6960941Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.6961047Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.6961106Z     return (buf1, )
2022-11-23T01:32:37.6961111Z 
2022-11-23T01:32:37.6961127Z 
2022-11-23T01:32:37.6961190Z if __name__ == "__main__":
2022-11-23T01:32:37.6961301Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6961421Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6961622Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6961815Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6962018Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6962138Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.6962143Z 
2022-11-23T01:32:37.6962147Z 
2022-11-23T01:32:37.6962245Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.6962303Z import torch
2022-11-23T01:32:37.6962372Z import random
2022-11-23T01:32:37.6962485Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.6962603Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.6962608Z 
2022-11-23T01:32:37.6962688Z aten = torch.ops.aten
2022-11-23T01:32:37.6962819Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.6962909Z async_compile = AsyncCompile()
2022-11-23T01:32:37.6962915Z 
2022-11-23T01:32:37.6962921Z 
2022-11-23T01:32:37.6963053Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.6963243Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.6963361Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.6963424Z {
2022-11-23T01:32:37.6963520Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.6963583Z     {
2022-11-23T01:32:37.6963659Z         #pragma omp for 
2022-11-23T01:32:37.6963742Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.6963795Z         {
2022-11-23T01:32:37.6963857Z             {
2022-11-23T01:32:37.6963922Z                 {
2022-11-23T01:32:37.6964041Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.6964148Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.6964249Z                     auto tmp2 = static_cast<float>(3);
2022-11-23T01:32:37.6964338Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:37.6964432Z                     auto tmp4 = static_cast<float>(0.0);
2022-11-23T01:32:37.6964535Z                     auto tmp5 = std::max(tmp3, tmp4);
2022-11-23T01:32:37.6964639Z                     auto tmp6 = static_cast<float>(6.0);
2022-11-23T01:32:37.6964741Z                     auto tmp7 = std::min(tmp5, tmp6);
2022-11-23T01:32:37.6964828Z                     auto tmp8 = tmp1 * tmp7;
2022-11-23T01:32:37.6964928Z                     auto tmp9 = static_cast<float>(6);
2022-11-23T01:32:37.6965018Z                     auto tmp10 = tmp8 / tmp9;
2022-11-23T01:32:37.6965148Z                     auto tmp11 = static_cast<bfloat16>(tmp10);
2022-11-23T01:32:37.6965238Z                     in_out_ptr0[i0] = tmp11;
2022-11-23T01:32:37.6965305Z                 }
2022-11-23T01:32:37.6965367Z             }
2022-11-23T01:32:37.6965429Z         }
2022-11-23T01:32:37.6965489Z     }
2022-11-23T01:32:37.6965553Z }
2022-11-23T01:32:37.6965618Z ''')
2022-11-23T01:32:37.6965623Z 
2022-11-23T01:32:37.6965627Z 
2022-11-23T01:32:37.6965754Z async_compile.wait(globals())
2022-11-23T01:32:37.6965826Z del async_compile
2022-11-23T01:32:37.6965831Z 
2022-11-23T01:32:37.6965900Z def call(args):
2022-11-23T01:32:37.6965974Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.6966043Z     args.clear()
2022-11-23T01:32:37.6966241Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6966371Z     aten.mm.out(as_strided(arg1_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.6966441Z     del arg0_1
2022-11-23T01:32:37.6966509Z     del arg1_1
2022-11-23T01:32:37.6966629Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.6966731Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.6966801Z     return (buf1, )
2022-11-23T01:32:37.6966806Z 
2022-11-23T01:32:37.6966810Z 
2022-11-23T01:32:37.6966886Z if __name__ == "__main__":
2022-11-23T01:32:37.6966998Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.6967109Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.6967308Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6967513Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.6967627Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.6967998Z [2022-11-23 01:23:08,998] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/td/ctdfq33utrcilhlwhz3mtjhv5essjuf5ea72po6dqdd235j2nmwc.py
2022-11-23T01:32:37.6968268Z [2022-11-23 01:23:08,998] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 260
2022-11-23T01:32:37.6968504Z [2022-11-23 01:23:09,006] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6968770Z [2022-11-23 01:23:09,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6968988Z [2022-11-23 01:23:09,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6969218Z [2022-11-23 01:23:09,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6969491Z [2022-11-23 01:23:09,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6969803Z [2022-11-23 01:23:09,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6970050Z [2022-11-23 01:23:09,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6970283Z [2022-11-23 01:23:09,046] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6970537Z [2022-11-23 01:23:09,047] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6970787Z [2022-11-23 01:23:09,085] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6970974Z [2022-11-23 01:23:09,085] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6971107Z  __compiled_fn_268 <eval_with_key>.1669 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6971184Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6971282Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.6971384Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.6971514Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.6971519Z 
2022-11-23T01:32:37.6971797Z [2022-11-23 01:23:09,086] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6971888Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6971979Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6972057Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6972173Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6972251Z               8 RETURN_VALUE
2022-11-23T01:32:37.6972256Z 
2022-11-23T01:32:37.6972318Z  
2022-11-23T01:32:37.6972593Z [2022-11-23 01:23:09,086] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6972699Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_268)
2022-11-23T01:32:37.6972789Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6972880Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6972943Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6973030Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.6973119Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6973196Z              12 RETURN_VALUE
2022-11-23T01:32:37.6973201Z 
2022-11-23T01:32:37.6973259Z  
2022-11-23T01:32:37.6973439Z [2022-11-23 01:23:09,088] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6973508Z  - 
2022-11-23T01:32:37.6973615Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6973679Z             {
2022-11-23T01:32:37.6973819Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6974005Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.6974124Z                 'obj_weakref': None
2022-11-23T01:32:37.6974346Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6974411Z             }
2022-11-23T01:32:37.6974461Z             
2022-11-23T01:32:37.6974528Z  - 
2022-11-23T01:32:37.6974651Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6974713Z             {
2022-11-23T01:32:37.6974853Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6974958Z                 'code': None,
2022-11-23T01:32:37.6975163Z                 'obj_weakref': <weakref at 0x7f71067a42f0; to 'Tensor' at 0x7f710677bcb0>
2022-11-23T01:32:37.6975398Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6975460Z             }
2022-11-23T01:32:37.6975522Z             
2022-11-23T01:32:37.6975589Z  - 
2022-11-23T01:32:37.6975706Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6975768Z             {
2022-11-23T01:32:37.6975900Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6976054Z                 'code': ['___check_obj_id(model, 140123422281936)'],
2022-11-23T01:32:37.6976269Z                 'obj_weakref': <weakref at 0x7f71c222f9b0; to 'Sequential' at 0x7f7106cf50d0>
2022-11-23T01:32:37.6976497Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.6976561Z             }
2022-11-23T01:32:37.6976623Z             
2022-11-23T01:32:37.6976690Z  - 
2022-11-23T01:32:37.6976810Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6976860Z             {
2022-11-23T01:32:37.6976998Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6977214Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6977334Z                 'obj_weakref': None
2022-11-23T01:32:37.6977550Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6977612Z             }
2022-11-23T01:32:37.6977673Z             
2022-11-23T01:32:37.6977729Z  - 
2022-11-23T01:32:37.6977871Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.6977972Z             {
2022-11-23T01:32:37.6978093Z                 'guard_types': None,
2022-11-23T01:32:37.6978199Z                 'code': None,
2022-11-23T01:32:37.6978314Z                 'obj_weakref': None
2022-11-23T01:32:37.6978435Z                 'guarded_class': None
2022-11-23T01:32:37.6978484Z             }
2022-11-23T01:32:37.6978545Z             
2022-11-23T01:32:37.6978612Z  - 
2022-11-23T01:32:37.6978782Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.6978847Z             {
2022-11-23T01:32:37.6978966Z                 'guard_types': None,
2022-11-23T01:32:37.6979074Z                 'code': None,
2022-11-23T01:32:37.6979178Z                 'obj_weakref': None
2022-11-23T01:32:37.6979297Z                 'guarded_class': None
2022-11-23T01:32:37.6979359Z             }
2022-11-23T01:32:37.6979420Z             
2022-11-23T01:32:37.6979679Z [2022-11-23 01:23:09,139] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 261
2022-11-23T01:32:37.6980052Z [2022-11-23 01:23:11,705] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ns/cns43kozorrqcg2odphflpsj5tlmrpxxh5xgtstxz7gdlivknnri.py
2022-11-23T01:32:37.6980315Z [2022-11-23 01:23:11,706] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 261
2022-11-23T01:32:37.6980548Z [2022-11-23 01:23:11,717] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6980804Z [2022-11-23 01:23:11,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6981021Z [2022-11-23 01:23:11,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6981266Z [2022-11-23 01:23:11,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6981540Z [2022-11-23 01:23:11,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6981855Z [2022-11-23 01:23:11,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6982098Z [2022-11-23 01:23:11,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6982331Z [2022-11-23 01:23:11,744] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6982584Z [2022-11-23 01:23:11,746] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6982831Z [2022-11-23 01:23:11,768] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6983005Z [2022-11-23 01:23:11,769] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6983136Z  __compiled_fn_269 <eval_with_key>.1675 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6983228Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6983328Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.6983429Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.6983526Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.6983533Z 
2022-11-23T01:32:37.6983808Z [2022-11-23 01:23:11,769] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6983901Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6983981Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6984073Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6984162Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6984240Z               8 RETURN_VALUE
2022-11-23T01:32:37.6984245Z 
2022-11-23T01:32:37.6984309Z  
2022-11-23T01:32:37.6984672Z [2022-11-23 01:23:11,769] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6984779Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_269)
2022-11-23T01:32:37.6984892Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6984979Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6985057Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6985144Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.6985234Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6985308Z              12 RETURN_VALUE
2022-11-23T01:32:37.6985313Z 
2022-11-23T01:32:37.6985400Z  
2022-11-23T01:32:37.6985590Z [2022-11-23 01:23:11,826] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6985647Z  - 
2022-11-23T01:32:37.6985765Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6985831Z             {
2022-11-23T01:32:37.6985969Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6986151Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.6986268Z                 'obj_weakref': None
2022-11-23T01:32:37.6986491Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6986542Z             }
2022-11-23T01:32:37.6986606Z             
2022-11-23T01:32:37.6986673Z  - 
2022-11-23T01:32:37.6986795Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6986860Z             {
2022-11-23T01:32:37.6987001Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6987106Z                 'code': None,
2022-11-23T01:32:37.6987305Z                 'obj_weakref': <weakref at 0x7f70f2c632f0; to 'Tensor' at 0x7f71069bfef0>
2022-11-23T01:32:37.6987551Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6987616Z             }
2022-11-23T01:32:37.6987679Z             
2022-11-23T01:32:37.6987747Z  - 
2022-11-23T01:32:37.6987864Z             local 'model' NN_MODULE
2022-11-23T01:32:37.6987926Z             {
2022-11-23T01:32:37.6988047Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.6988216Z                 'code': ['___check_obj_id(model, 140123422810064)'],
2022-11-23T01:32:37.6988430Z                 'obj_weakref': <weakref at 0x7f71064fb350; to 'Sequential' at 0x7f7106d75fd0>
2022-11-23T01:32:37.6988659Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.6988723Z             }
2022-11-23T01:32:37.6988786Z             
2022-11-23T01:32:37.6988854Z  - 
2022-11-23T01:32:37.6988966Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.6989028Z             {
2022-11-23T01:32:37.6989163Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.6989379Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.6989496Z                 'obj_weakref': None
2022-11-23T01:32:37.6989713Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.6989778Z             }
2022-11-23T01:32:37.6989827Z             
2022-11-23T01:32:37.6989894Z  - 
2022-11-23T01:32:37.6990038Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.6990100Z             {
2022-11-23T01:32:37.6990218Z                 'guard_types': None,
2022-11-23T01:32:37.6990323Z                 'code': None,
2022-11-23T01:32:37.6990440Z                 'obj_weakref': None
2022-11-23T01:32:37.6990548Z                 'guarded_class': None
2022-11-23T01:32:37.6990612Z             }
2022-11-23T01:32:37.6990675Z             
2022-11-23T01:32:37.6990742Z  - 
2022-11-23T01:32:37.6990887Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.6990948Z             {
2022-11-23T01:32:37.6991054Z                 'guard_types': None,
2022-11-23T01:32:37.6991158Z                 'code': None,
2022-11-23T01:32:37.6991274Z                 'obj_weakref': None
2022-11-23T01:32:37.6991394Z                 'guarded_class': None
2022-11-23T01:32:37.6991456Z             }
2022-11-23T01:32:37.6991547Z             
2022-11-23T01:32:37.6991807Z [2022-11-23 01:23:11,862] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 262
2022-11-23T01:32:37.6992162Z [2022-11-23 01:23:11,886] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/z3/cz3xoiplbwv4sxblnxwwyuyh2i37jj6m6tsqdq2sguj6qljuqjud.py
2022-11-23T01:32:37.6992425Z [2022-11-23 01:23:11,887] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 262
2022-11-23T01:32:37.6992688Z [2022-11-23 01:23:11,894] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.6992958Z [2022-11-23 01:23:11,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.6993174Z [2022-11-23 01:23:11,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.6993414Z [2022-11-23 01:23:11,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.6993690Z [2022-11-23 01:23:11,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.6994003Z [2022-11-23 01:23:11,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.6994245Z [2022-11-23 01:23:11,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.6994479Z [2022-11-23 01:23:11,924] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.6994719Z [2022-11-23 01:23:11,925] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.6994965Z [2022-11-23 01:23:11,955] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.6995149Z [2022-11-23 01:23:11,956] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.6995285Z  __compiled_fn_270 <eval_with_key>.1681 opcode, name, target, args, kwargs
2022-11-23T01:32:37.6995374Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.6995472Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.6995574Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.6995671Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.6995677Z 
2022-11-23T01:32:37.6995941Z [2022-11-23 01:23:11,956] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6996032Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.6996121Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6996211Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.6996300Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.6996376Z               8 RETURN_VALUE
2022-11-23T01:32:37.6996382Z 
2022-11-23T01:32:37.6996441Z  
2022-11-23T01:32:37.6996717Z [2022-11-23 01:23:11,956] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.6996814Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_270)
2022-11-23T01:32:37.6996903Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.6996993Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.6997069Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.6997270Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.6997363Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.6997439Z              12 RETURN_VALUE
2022-11-23T01:32:37.6997444Z 
2022-11-23T01:32:37.6997492Z  
2022-11-23T01:32:37.6997673Z [2022-11-23 01:23:11,958] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.6997742Z  - 
2022-11-23T01:32:37.6997861Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.6997924Z             {
2022-11-23T01:32:37.6998063Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.6998245Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.6998408Z                 'obj_weakref': None
2022-11-23T01:32:37.6998632Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.6998697Z             }
2022-11-23T01:32:37.6998759Z             
2022-11-23T01:32:37.6998827Z  - 
2022-11-23T01:32:37.6998949Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.6999013Z             {
2022-11-23T01:32:37.6999174Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.6999282Z                 'code': None,
2022-11-23T01:32:37.6999487Z                 'obj_weakref': <weakref at 0x7f710699ba10; to 'Tensor' at 0x7f7106681710>
2022-11-23T01:32:37.6999733Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.6999799Z             }
2022-11-23T01:32:37.6999861Z             
2022-11-23T01:32:37.6999929Z  - 
2022-11-23T01:32:37.7000038Z             local 'model' NN_MODULE
2022-11-23T01:32:37.7000101Z             {
2022-11-23T01:32:37.7000234Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7000400Z                 'code': ['___check_obj_id(model, 140126544800592)'],
2022-11-23T01:32:37.7000619Z                 'obj_weakref': <weakref at 0x7f7106395a70; to 'Sequential' at 0x7f71c0ed2b50>
2022-11-23T01:32:37.7000852Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.7000915Z             }
2022-11-23T01:32:37.7000965Z             
2022-11-23T01:32:37.7001034Z  - 
2022-11-23T01:32:37.7001158Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7001222Z             {
2022-11-23T01:32:37.7001356Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7001572Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7001690Z                 'obj_weakref': None
2022-11-23T01:32:37.7001896Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7001959Z             }
2022-11-23T01:32:37.7002021Z             
2022-11-23T01:32:37.7002088Z  - 
2022-11-23T01:32:37.7002232Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.7002294Z             {
2022-11-23T01:32:37.7002414Z                 'guard_types': None,
2022-11-23T01:32:37.7002507Z                 'code': None,
2022-11-23T01:32:37.7002626Z                 'obj_weakref': None
2022-11-23T01:32:37.7002745Z                 'guarded_class': None
2022-11-23T01:32:37.7002807Z             }
2022-11-23T01:32:37.7002868Z             
2022-11-23T01:32:37.7002934Z  - 
2022-11-23T01:32:37.7003076Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.7003126Z             {
2022-11-23T01:32:37.7003243Z                 'guard_types': None,
2022-11-23T01:32:37.7003354Z                 'code': None,
2022-11-23T01:32:37.7003470Z                 'obj_weakref': None
2022-11-23T01:32:37.7003590Z                 'guarded_class': None
2022-11-23T01:32:37.7003653Z             }
2022-11-23T01:32:37.7003714Z             
2022-11-23T01:32:37.7003960Z [2022-11-23 01:23:12,000] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 263
2022-11-23T01:32:37.7004326Z [2022-11-23 01:23:14,569] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/su/csu7q2lvvkxitlhfaezn733b76tryghjveb72l7ygwvco3whdt2s.py
2022-11-23T01:32:37.7004591Z [2022-11-23 01:23:14,569] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 263
2022-11-23T01:32:37.7004826Z [2022-11-23 01:23:14,581] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7005091Z [2022-11-23 01:23:14,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7005306Z [2022-11-23 01:23:14,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7005578Z [2022-11-23 01:23:14,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.7005849Z [2022-11-23 01:23:14,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.7006161Z [2022-11-23 01:23:14,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7006420Z [2022-11-23 01:23:14,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7006654Z [2022-11-23 01:23:14,598] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7006903Z [2022-11-23 01:23:14,600] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7007148Z [2022-11-23 01:23:14,612] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7007336Z [2022-11-23 01:23:14,612] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7007469Z  __compiled_fn_271 <eval_with_key>.1687 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7007557Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7007656Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.7007746Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.7007848Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.7007855Z 
2022-11-23T01:32:37.7008129Z [2022-11-23 01:23:14,613] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7008222Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7008311Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7008403Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7008492Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7008569Z               8 RETURN_VALUE
2022-11-23T01:32:37.7008574Z 
2022-11-23T01:32:37.7008623Z  
2022-11-23T01:32:37.7008896Z [2022-11-23 01:23:14,613] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7009002Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_271)
2022-11-23T01:32:37.7009090Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7009178Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7009255Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7009343Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7009420Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7009494Z              12 RETURN_VALUE
2022-11-23T01:32:37.7009499Z 
2022-11-23T01:32:37.7009558Z  
2022-11-23T01:32:37.7009738Z [2022-11-23 01:23:14,615] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7009806Z  - 
2022-11-23T01:32:37.7009923Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7009989Z             {
2022-11-23T01:32:37.7010128Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7010299Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7010417Z                 'obj_weakref': None
2022-11-23T01:32:37.7010637Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7010701Z             }
2022-11-23T01:32:37.7010763Z             
2022-11-23T01:32:37.7010832Z  - 
2022-11-23T01:32:37.7010959Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7011009Z             {
2022-11-23T01:32:37.7011151Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7011255Z                 'code': None,
2022-11-23T01:32:37.7011462Z                 'obj_weakref': <weakref at 0x7f70f2e17050; to 'Tensor' at 0x7f71069c4590>
2022-11-23T01:32:37.7011708Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7011802Z             }
2022-11-23T01:32:37.7011864Z             
2022-11-23T01:32:37.7011920Z  - 
2022-11-23T01:32:37.7012039Z             local 'model' NN_MODULE
2022-11-23T01:32:37.7012102Z             {
2022-11-23T01:32:37.7012236Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7012403Z                 'code': ['___check_obj_id(model, 140123423135696)'],
2022-11-23T01:32:37.7012683Z                 'obj_weakref': <weakref at 0x7f7106754e30; to 'Sequential' at 0x7f7106dc57d0>
2022-11-23T01:32:37.7012916Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.7012967Z             }
2022-11-23T01:32:37.7013029Z             
2022-11-23T01:32:37.7013095Z  - 
2022-11-23T01:32:37.7013217Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7013279Z             {
2022-11-23T01:32:37.7013413Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7013627Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7013734Z                 'obj_weakref': None
2022-11-23T01:32:37.7013953Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7014014Z             }
2022-11-23T01:32:37.7014076Z             
2022-11-23T01:32:37.7014143Z  - 
2022-11-23T01:32:37.7014287Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.7014351Z             {
2022-11-23T01:32:37.7014457Z                 'guard_types': None,
2022-11-23T01:32:37.7014561Z                 'code': None,
2022-11-23T01:32:37.7014676Z                 'obj_weakref': None
2022-11-23T01:32:37.7014794Z                 'guarded_class': None
2022-11-23T01:32:37.7014856Z             }
2022-11-23T01:32:37.7014917Z             
2022-11-23T01:32:37.7014972Z  - 
2022-11-23T01:32:37.7015114Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.7015174Z             {
2022-11-23T01:32:37.7015294Z                 'guard_types': None,
2022-11-23T01:32:37.7015398Z                 'code': None,
2022-11-23T01:32:37.7015514Z                 'obj_weakref': None
2022-11-23T01:32:37.7015633Z                 'guarded_class': None
2022-11-23T01:32:37.7015682Z             }
2022-11-23T01:32:37.7015744Z             
2022-11-23T01:32:37.7016002Z [2022-11-23 01:23:14,645] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 264
2022-11-23T01:32:37.7016007Z 
2022-11-23T01:32:37.7016013Z 
2022-11-23T01:32:37.7016106Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7016175Z import torch
2022-11-23T01:32:37.7016243Z import random
2022-11-23T01:32:37.7016356Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7016475Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7016481Z 
2022-11-23T01:32:37.7016545Z aten = torch.ops.aten
2022-11-23T01:32:37.7016678Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7016774Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7016779Z 
2022-11-23T01:32:37.7016783Z 
2022-11-23T01:32:37.7016914Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7017118Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7017237Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.7017298Z {
2022-11-23T01:32:37.7017393Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7017444Z     {
2022-11-23T01:32:37.7017519Z         #pragma omp for 
2022-11-23T01:32:37.7017601Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.7017663Z         {
2022-11-23T01:32:37.7017724Z             {
2022-11-23T01:32:37.7017791Z                 {
2022-11-23T01:32:37.7017898Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.7018005Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.7018107Z                     auto tmp2 = static_cast<float>(3);
2022-11-23T01:32:37.7018253Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:37.7018358Z                     auto tmp4 = static_cast<float>(0.0);
2022-11-23T01:32:37.7018468Z                     auto tmp5 = std::max(tmp3, tmp4);
2022-11-23T01:32:37.7018572Z                     auto tmp6 = static_cast<float>(6.0);
2022-11-23T01:32:37.7018674Z                     auto tmp7 = std::min(tmp5, tmp6);
2022-11-23T01:32:37.7018751Z                     auto tmp8 = tmp1 * tmp7;
2022-11-23T01:32:37.7018878Z                     auto tmp9 = static_cast<float>(6);
2022-11-23T01:32:37.7018970Z                     auto tmp10 = tmp8 / tmp9;
2022-11-23T01:32:37.7019080Z                     auto tmp11 = static_cast<bfloat16>(tmp10);
2022-11-23T01:32:37.7019170Z                     in_out_ptr0[i0] = tmp11;
2022-11-23T01:32:37.7019234Z                 }
2022-11-23T01:32:37.7019297Z             }
2022-11-23T01:32:37.7019347Z         }
2022-11-23T01:32:37.7019408Z     }
2022-11-23T01:32:37.7019470Z }
2022-11-23T01:32:37.7019546Z ''')
2022-11-23T01:32:37.7019551Z 
2022-11-23T01:32:37.7019555Z 
2022-11-23T01:32:37.7019643Z async_compile.wait(globals())
2022-11-23T01:32:37.7019713Z del async_compile
2022-11-23T01:32:37.7019718Z 
2022-11-23T01:32:37.7019787Z def call(args):
2022-11-23T01:32:37.7019855Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.7019925Z     args.clear()
2022-11-23T01:32:37.7020126Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7020278Z     aten.addmm.out(arg1_1, arg2_1, as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.7020346Z     del arg0_1
2022-11-23T01:32:37.7020410Z     del arg1_1
2022-11-23T01:32:37.7020478Z     del arg2_1
2022-11-23T01:32:37.7020549Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.7020651Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7020724Z     return (buf1, )
2022-11-23T01:32:37.7020729Z 
2022-11-23T01:32:37.7020733Z 
2022-11-23T01:32:37.7020809Z if __name__ == "__main__":
2022-11-23T01:32:37.7020921Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7021041Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7021241Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7021437Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7021622Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7021743Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.7021748Z 
2022-11-23T01:32:37.7021752Z 
2022-11-23T01:32:37.7021844Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7021912Z import torch
2022-11-23T01:32:37.7021981Z import random
2022-11-23T01:32:37.7022093Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7022211Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7022215Z 
2022-11-23T01:32:37.7022294Z aten = torch.ops.aten
2022-11-23T01:32:37.7022413Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7022503Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7022507Z 
2022-11-23T01:32:37.7022512Z 
2022-11-23T01:32:37.7022643Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7022847Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7022966Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.7023026Z {
2022-11-23T01:32:37.7023121Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7023182Z     {
2022-11-23T01:32:37.7023246Z         #pragma omp for 
2022-11-23T01:32:37.7023327Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.7023390Z         {
2022-11-23T01:32:37.7023452Z             {
2022-11-23T01:32:37.7023516Z                 {
2022-11-23T01:32:37.7023632Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.7023756Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.7023859Z                     auto tmp2 = static_cast<float>(3);
2022-11-23T01:32:37.7023947Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:37.7024050Z                     auto tmp4 = static_cast<float>(0.0);
2022-11-23T01:32:37.7024154Z                     auto tmp5 = std::max(tmp3, tmp4);
2022-11-23T01:32:37.7024256Z                     auto tmp6 = static_cast<float>(6.0);
2022-11-23T01:32:37.7024386Z                     auto tmp7 = std::min(tmp5, tmp6);
2022-11-23T01:32:37.7024561Z                     auto tmp8 = tmp1 * tmp7;
2022-11-23T01:32:37.7024651Z                     auto tmp9 = static_cast<float>(6);
2022-11-23T01:32:37.7024741Z                     auto tmp10 = tmp8 / tmp9;
2022-11-23T01:32:37.7024851Z                     auto tmp11 = static_cast<bfloat16>(tmp10);
2022-11-23T01:32:37.7024941Z                     in_out_ptr0[i0] = tmp11;
2022-11-23T01:32:37.7025004Z                 }
2022-11-23T01:32:37.7025068Z             }
2022-11-23T01:32:37.7025129Z         }
2022-11-23T01:32:37.7025177Z     }
2022-11-23T01:32:37.7025235Z }
2022-11-23T01:32:37.7025317Z ''')
2022-11-23T01:32:37.7025322Z 
2022-11-23T01:32:37.7025326Z 
2022-11-23T01:32:37.7025415Z async_compile.wait(globals())
2022-11-23T01:32:37.7025486Z del async_compile
2022-11-23T01:32:37.7025490Z 
2022-11-23T01:32:37.7025559Z def call(args):
2022-11-23T01:32:37.7025634Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.7025694Z     args.clear()
2022-11-23T01:32:37.7025890Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7026010Z     aten.mm.out(arg1_1, as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.7026077Z     del arg0_1
2022-11-23T01:32:37.7026142Z     del arg1_1
2022-11-23T01:32:37.7026225Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.7026326Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7026384Z     return (buf1, )
2022-11-23T01:32:37.7026391Z 
2022-11-23T01:32:37.7026409Z 
2022-11-23T01:32:37.7026472Z if __name__ == "__main__":
2022-11-23T01:32:37.7026582Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7026702Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7026902Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7027097Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7027213Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.7027217Z 
2022-11-23T01:32:37.7027221Z 
2022-11-23T01:32:37.7027313Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7027381Z import torch
2022-11-23T01:32:37.7027438Z import random
2022-11-23T01:32:37.7027550Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7027667Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7027672Z 
2022-11-23T01:32:37.7027748Z aten = torch.ops.aten
2022-11-23T01:32:37.7027881Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7027971Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7027977Z 
2022-11-23T01:32:37.7027981Z 
2022-11-23T01:32:37.7028111Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7028304Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7028422Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.7028485Z {
2022-11-23T01:32:37.7028580Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7028640Z     {
2022-11-23T01:32:37.7028716Z         #pragma omp for 
2022-11-23T01:32:37.7028797Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.7028847Z         {
2022-11-23T01:32:37.7028910Z             {
2022-11-23T01:32:37.7028972Z                 {
2022-11-23T01:32:37.7029091Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.7029196Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.7029336Z                     auto tmp2 = static_cast<float>(0);
2022-11-23T01:32:37.7029425Z                     auto tmp3 = tmp1 > tmp2;
2022-11-23T01:32:37.7029517Z                     auto tmp4 = static_cast<float>(0.1);
2022-11-23T01:32:37.7029606Z                     auto tmp5 = tmp1 * tmp4;
2022-11-23T01:32:37.7029702Z                     auto tmp6 = tmp3 ? tmp1 : tmp5;
2022-11-23T01:32:37.7029837Z                     auto tmp7 = static_cast<bfloat16>(tmp6);
2022-11-23T01:32:37.7029928Z                     in_out_ptr0[i0] = tmp7;
2022-11-23T01:32:37.7029991Z                 }
2022-11-23T01:32:37.7030052Z             }
2022-11-23T01:32:37.7030102Z         }
2022-11-23T01:32:37.7030162Z     }
2022-11-23T01:32:37.7030221Z }
2022-11-23T01:32:37.7030298Z ''')
2022-11-23T01:32:37.7030302Z 
2022-11-23T01:32:37.7030306Z 
2022-11-23T01:32:37.7030394Z async_compile.wait(globals())
2022-11-23T01:32:37.7030466Z del async_compile
2022-11-23T01:32:37.7030470Z 
2022-11-23T01:32:37.7030541Z def call(args):
2022-11-23T01:32:37.7030621Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.7030678Z     args.clear()
2022-11-23T01:32:37.7030877Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7031048Z     aten.addmm.out(arg1_1, as_strided(arg2_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.7031116Z     del arg0_1
2022-11-23T01:32:37.7031181Z     del arg1_1
2022-11-23T01:32:37.7031248Z     del arg2_1
2022-11-23T01:32:37.7031362Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.7031451Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7031521Z     return (buf1, )
2022-11-23T01:32:37.7031526Z 
2022-11-23T01:32:37.7031530Z 
2022-11-23T01:32:37.7031604Z if __name__ == "__main__":
2022-11-23T01:32:37.7031716Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7031837Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7032039Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7032233Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7032437Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7032545Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.7032549Z 
2022-11-23T01:32:37.7032569Z 
2022-11-23T01:32:37.7032648Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7032717Z import torch
2022-11-23T01:32:37.7032785Z import random
2022-11-23T01:32:37.7032899Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7033019Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7033024Z 
2022-11-23T01:32:37.7033100Z aten = torch.ops.aten
2022-11-23T01:32:37.7033235Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7033314Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7033319Z 
2022-11-23T01:32:37.7033323Z 
2022-11-23T01:32:37.7033452Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7033655Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7033773Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.7033835Z {
2022-11-23T01:32:37.7033931Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7033991Z     {
2022-11-23T01:32:37.7034057Z         #pragma omp for 
2022-11-23T01:32:37.7034140Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.7034204Z         {
2022-11-23T01:32:37.7034267Z             {
2022-11-23T01:32:37.7034330Z                 {
2022-11-23T01:32:37.7034447Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.7034554Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.7034644Z                     auto tmp2 = static_cast<float>(0);
2022-11-23T01:32:37.7034764Z                     auto tmp3 = tmp1 > tmp2;
2022-11-23T01:32:37.7034869Z                     auto tmp4 = static_cast<float>(0.1);
2022-11-23T01:32:37.7034959Z                     auto tmp5 = tmp1 * tmp4;
2022-11-23T01:32:37.7035053Z                     auto tmp6 = tmp3 ? tmp1 : tmp5;
2022-11-23T01:32:37.7035160Z                     auto tmp7 = static_cast<bfloat16>(tmp6);
2022-11-23T01:32:37.7035247Z                     in_out_ptr0[i0] = tmp7;
2022-11-23T01:32:37.7035340Z                 }
2022-11-23T01:32:37.7035404Z             }
2022-11-23T01:32:37.7035468Z         }
2022-11-23T01:32:37.7035528Z     }
2022-11-23T01:32:37.7035586Z }
2022-11-23T01:32:37.7035663Z ''')
2022-11-23T01:32:37.7035669Z 
2022-11-23T01:32:37.7035673Z 
2022-11-23T01:32:37.7035760Z async_compile.wait(globals())
2022-11-23T01:32:37.7035819Z del async_compile
2022-11-23T01:32:37.7035835Z 
2022-11-23T01:32:37.7035892Z def call(args):
2022-11-23T01:32:37.7035964Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.7036037Z     args.clear()
2022-11-23T01:32:37.7036235Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7036376Z     aten.mm.out(as_strided(arg1_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.7036443Z     del arg0_1
2022-11-23T01:32:37.7036508Z     del arg1_1
2022-11-23T01:32:37.7036611Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.7036713Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7036784Z     return (buf1, )
2022-11-23T01:32:37.7036789Z 
2022-11-23T01:32:37.7036793Z 
2022-11-23T01:32:37.7036867Z if __name__ == "__main__":
2022-11-23T01:32:37.7036982Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7037101Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7037408Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7037600Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7037716Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.7038090Z [2022-11-23 01:23:14,670] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mj/cmjqg4j2w5ndsdpslpesegy2lk3dmvrruwbjsvkkz6t35zuwfvnv.py
2022-11-23T01:32:37.7038355Z [2022-11-23 01:23:14,670] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 264
2022-11-23T01:32:37.7038594Z [2022-11-23 01:23:14,678] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7038861Z [2022-11-23 01:23:14,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7039074Z [2022-11-23 01:23:14,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7039315Z [2022-11-23 01:23:14,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.7039591Z [2022-11-23 01:23:14,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.7039905Z [2022-11-23 01:23:14,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7040139Z [2022-11-23 01:23:14,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7040373Z [2022-11-23 01:23:14,706] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7040626Z [2022-11-23 01:23:14,708] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7040875Z [2022-11-23 01:23:14,734] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7041065Z [2022-11-23 01:23:14,734] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7041196Z  __compiled_fn_272 <eval_with_key>.1693 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7041335Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7041434Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.7041523Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.7041620Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.7041625Z 
2022-11-23T01:32:37.7041939Z [2022-11-23 01:23:14,735] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7042032Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7042121Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7042213Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7042302Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7042377Z               8 RETURN_VALUE
2022-11-23T01:32:37.7042382Z 
2022-11-23T01:32:37.7042430Z  
2022-11-23T01:32:37.7042702Z [2022-11-23 01:23:14,735] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7042811Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_272)
2022-11-23T01:32:37.7042900Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7042989Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7043068Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7043157Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7043237Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7043314Z              12 RETURN_VALUE
2022-11-23T01:32:37.7043320Z 
2022-11-23T01:32:37.7043379Z  
2022-11-23T01:32:37.7043559Z [2022-11-23 01:23:14,737] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7043626Z  - 
2022-11-23T01:32:37.7043746Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7043810Z             {
2022-11-23T01:32:37.7043937Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7044121Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7044242Z                 'obj_weakref': None
2022-11-23T01:32:37.7044464Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7044527Z             }
2022-11-23T01:32:37.7044589Z             
2022-11-23T01:32:37.7044657Z  - 
2022-11-23T01:32:37.7044768Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7044830Z             {
2022-11-23T01:32:37.7044973Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7045079Z                 'code': None,
2022-11-23T01:32:37.7045281Z                 'obj_weakref': <weakref at 0x7f7106395290; to 'Tensor' at 0x7f7106395890>
2022-11-23T01:32:37.7045527Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7045590Z             }
2022-11-23T01:32:37.7045652Z             
2022-11-23T01:32:37.7045707Z  - 
2022-11-23T01:32:37.7045825Z             local 'model' NN_MODULE
2022-11-23T01:32:37.7045888Z             {
2022-11-23T01:32:37.7046021Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7046186Z                 'code': ['___check_obj_id(model, 140123426486672)'],
2022-11-23T01:32:37.7046398Z                 'obj_weakref': <weakref at 0x7f71c22124d0; to 'Sequential' at 0x7f71070f7990>
2022-11-23T01:32:37.7046632Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.7046685Z             }
2022-11-23T01:32:37.7046747Z             
2022-11-23T01:32:37.7046816Z  - 
2022-11-23T01:32:37.7046936Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7046998Z             {
2022-11-23T01:32:37.7047132Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7047347Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7047451Z                 'obj_weakref': None
2022-11-23T01:32:37.7047703Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7047765Z             }
2022-11-23T01:32:37.7047828Z             
2022-11-23T01:32:37.7047897Z  - 
2022-11-23T01:32:37.7048040Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.7048090Z             {
2022-11-23T01:32:37.7048209Z                 'guard_types': None,
2022-11-23T01:32:37.7048314Z                 'code': None,
2022-11-23T01:32:37.7048455Z                 'obj_weakref': None
2022-11-23T01:32:37.7048576Z                 'guarded_class': None
2022-11-23T01:32:37.7048638Z             }
2022-11-23T01:32:37.7048700Z             
2022-11-23T01:32:37.7048756Z  - 
2022-11-23T01:32:37.7048899Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.7048961Z             {
2022-11-23T01:32:37.7049078Z                 'guard_types': None,
2022-11-23T01:32:37.7049182Z                 'code': None,
2022-11-23T01:32:37.7049298Z                 'obj_weakref': None
2022-11-23T01:32:37.7049420Z                 'guarded_class': None
2022-11-23T01:32:37.7049470Z             }
2022-11-23T01:32:37.7049533Z             
2022-11-23T01:32:37.7049792Z [2022-11-23 01:23:14,776] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 265
2022-11-23T01:32:37.7050162Z [2022-11-23 01:23:17,382] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/du/cdup3by7qtsdbte4wn3qtboiumntyn2wvshfbozix454nygek6fo.py
2022-11-23T01:32:37.7050425Z [2022-11-23 01:23:17,383] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 265
2022-11-23T01:32:37.7050659Z [2022-11-23 01:23:17,394] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7050924Z [2022-11-23 01:23:17,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7051141Z [2022-11-23 01:23:17,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7051373Z [2022-11-23 01:23:17,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.7051649Z [2022-11-23 01:23:17,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.7051962Z [2022-11-23 01:23:17,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7052208Z [2022-11-23 01:23:17,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7052441Z [2022-11-23 01:23:17,408] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7052693Z [2022-11-23 01:23:17,410] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7052940Z [2022-11-23 01:23:17,420] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7053131Z [2022-11-23 01:23:17,421] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7053263Z  __compiled_fn_273 <eval_with_key>.1699 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7053339Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7053438Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.7053539Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.7053635Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.7053642Z 
2022-11-23T01:32:37.7053918Z [2022-11-23 01:23:17,421] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7054011Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7054101Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7054191Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7054268Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7054343Z               8 RETURN_VALUE
2022-11-23T01:32:37.7054379Z 
2022-11-23T01:32:37.7054441Z  
2022-11-23T01:32:37.7054714Z [2022-11-23 01:23:17,422] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7054821Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_273)
2022-11-23T01:32:37.7054909Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7054996Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7055111Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7055187Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7055276Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7055353Z              12 RETURN_VALUE
2022-11-23T01:32:37.7055358Z 
2022-11-23T01:32:37.7055417Z  
2022-11-23T01:32:37.7055595Z [2022-11-23 01:23:17,424] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7055664Z  - 
2022-11-23T01:32:37.7055781Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7055832Z             {
2022-11-23T01:32:37.7055973Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7056155Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7056273Z                 'obj_weakref': None
2022-11-23T01:32:37.7056493Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7056557Z             }
2022-11-23T01:32:37.7056619Z             
2022-11-23T01:32:37.7056675Z  - 
2022-11-23T01:32:37.7056799Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7056862Z             {
2022-11-23T01:32:37.7057004Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7057111Z                 'code': None,
2022-11-23T01:32:37.7057316Z                 'obj_weakref': <weakref at 0x7f71c223f230; to 'Tensor' at 0x7f710638df50>
2022-11-23T01:32:37.7057565Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7057617Z             }
2022-11-23T01:32:37.7057681Z             
2022-11-23T01:32:37.7057749Z  - 
2022-11-23T01:32:37.7057868Z             local 'model' NN_MODULE
2022-11-23T01:32:37.7057930Z             {
2022-11-23T01:32:37.7058063Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7058231Z                 'code': ['___check_obj_id(model, 140123418748688)'],
2022-11-23T01:32:37.7058432Z                 'obj_weakref': <weakref at 0x7f71067877d0; to 'Sequential' at 0x7f7106996710>
2022-11-23T01:32:37.7058664Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.7058727Z             }
2022-11-23T01:32:37.7058789Z             
2022-11-23T01:32:37.7058857Z  - 
2022-11-23T01:32:37.7058977Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7059039Z             {
2022-11-23T01:32:37.7059161Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7059376Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7059495Z                 'obj_weakref': None
2022-11-23T01:32:37.7059710Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7059772Z             }
2022-11-23T01:32:37.7059834Z             
2022-11-23T01:32:37.7059900Z  - 
2022-11-23T01:32:37.7060032Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.7060096Z             {
2022-11-23T01:32:37.7060218Z                 'guard_types': None,
2022-11-23T01:32:37.7060324Z                 'code': None,
2022-11-23T01:32:37.7060440Z                 'obj_weakref': None
2022-11-23T01:32:37.7060558Z                 'guarded_class': None
2022-11-23T01:32:37.7060620Z             }
2022-11-23T01:32:37.7060669Z             
2022-11-23T01:32:37.7060736Z  - 
2022-11-23T01:32:37.7060879Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.7060941Z             {
2022-11-23T01:32:37.7061058Z                 'guard_types': None,
2022-11-23T01:32:37.7061194Z                 'code': None,
2022-11-23T01:32:37.7061297Z                 'obj_weakref': None
2022-11-23T01:32:37.7061415Z                 'guarded_class': None
2022-11-23T01:32:37.7061477Z             }
2022-11-23T01:32:37.7061538Z             
2022-11-23T01:32:37.7061797Z [2022-11-23 01:23:17,449] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 266
2022-11-23T01:32:37.7062197Z [2022-11-23 01:23:17,470] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5t/c5tyqjlmuv4uihmxtfhjdcz3oisyvq3ojhefooiay37kquvw4jnm.py
2022-11-23T01:32:37.7062460Z [2022-11-23 01:23:17,471] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 266
2022-11-23T01:32:37.7062696Z [2022-11-23 01:23:17,478] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7062960Z [2022-11-23 01:23:17,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7063166Z [2022-11-23 01:23:17,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7063408Z [2022-11-23 01:23:17,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.7063682Z [2022-11-23 01:23:17,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.7063999Z [2022-11-23 01:23:17,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7064247Z [2022-11-23 01:23:17,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7064583Z [2022-11-23 01:23:17,514] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7064844Z [2022-11-23 01:23:17,515] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7065097Z [2022-11-23 01:23:17,582] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7065282Z [2022-11-23 01:23:17,583] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7065403Z  __compiled_fn_274 <eval_with_key>.1705 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7065491Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7065589Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.7065691Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.7065789Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.7065794Z 
2022-11-23T01:32:37.7066068Z [2022-11-23 01:23:17,583] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7066159Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7066249Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7066327Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7066418Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7066494Z               8 RETURN_VALUE
2022-11-23T01:32:37.7066500Z 
2022-11-23T01:32:37.7066559Z  
2022-11-23T01:32:37.7066828Z [2022-11-23 01:23:17,584] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7066934Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_274)
2022-11-23T01:32:37.7067024Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7067100Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7067175Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7067263Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7067353Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7067427Z              12 RETURN_VALUE
2022-11-23T01:32:37.7067432Z 
2022-11-23T01:32:37.7067491Z  
2022-11-23T01:32:37.7067670Z [2022-11-23 01:23:17,585] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7067768Z  - 
2022-11-23T01:32:37.7067885Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7067947Z             {
2022-11-23T01:32:37.7068085Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7068269Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7068388Z                 'obj_weakref': None
2022-11-23T01:32:37.7068646Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7068710Z             }
2022-11-23T01:32:37.7068761Z             
2022-11-23T01:32:37.7068828Z  - 
2022-11-23T01:32:37.7068949Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7069012Z             {
2022-11-23T01:32:37.7069152Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7069259Z                 'code': None,
2022-11-23T01:32:37.7069451Z                 'obj_weakref': <weakref at 0x7f7106262dd0; to 'Tensor' at 0x7f71066978f0>
2022-11-23T01:32:37.7069702Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7069766Z             }
2022-11-23T01:32:37.7069829Z             
2022-11-23T01:32:37.7069897Z  - 
2022-11-23T01:32:37.7070016Z             local 'model' NN_MODULE
2022-11-23T01:32:37.7070078Z             {
2022-11-23T01:32:37.7070199Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7070368Z                 'code': ['___check_obj_id(model, 140123417370512)'],
2022-11-23T01:32:37.7070583Z                 'obj_weakref': <weakref at 0x7f71069f2290; to 'Sequential' at 0x7f7106845f90>
2022-11-23T01:32:37.7070814Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.7070877Z             }
2022-11-23T01:32:37.7070938Z             
2022-11-23T01:32:37.7071005Z  - 
2022-11-23T01:32:37.7071114Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7071177Z             {
2022-11-23T01:32:37.7071315Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7071529Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7071645Z                 'obj_weakref': None
2022-11-23T01:32:37.7071861Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7071923Z             }
2022-11-23T01:32:37.7071985Z             
2022-11-23T01:32:37.7072042Z  - 
2022-11-23T01:32:37.7072186Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.7072249Z             {
2022-11-23T01:32:37.7072367Z                 'guard_types': None,
2022-11-23T01:32:37.7072472Z                 'code': None,
2022-11-23T01:32:37.7072587Z                 'obj_weakref': None
2022-11-23T01:32:37.7072694Z                 'guarded_class': None
2022-11-23T01:32:37.7072757Z             }
2022-11-23T01:32:37.7072821Z             
2022-11-23T01:32:37.7072889Z  - 
2022-11-23T01:32:37.7073035Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.7073095Z             {
2022-11-23T01:32:37.7073212Z                 'guard_types': None,
2022-11-23T01:32:37.7073304Z                 'code': None,
2022-11-23T01:32:37.7073419Z                 'obj_weakref': None
2022-11-23T01:32:37.7073537Z                 'guarded_class': None
2022-11-23T01:32:37.7073599Z             }
2022-11-23T01:32:37.7073661Z             
2022-11-23T01:32:37.7073921Z [2022-11-23 01:23:17,629] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 267
2022-11-23T01:32:37.7074284Z [2022-11-23 01:23:20,185] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wl/cwlp6jdkc2uvqxmu6s4vrx3bq5did4yvzg6wfbypw6bomxelmxpz.py
2022-11-23T01:32:37.7074546Z [2022-11-23 01:23:20,186] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 267
2022-11-23T01:32:37.7074767Z [2022-11-23 01:23:20,198] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7075067Z [2022-11-23 01:23:20,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7075284Z [2022-11-23 01:23:20,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7075523Z [2022-11-23 01:23:20,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.7075827Z [2022-11-23 01:23:20,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.7076141Z [2022-11-23 01:23:20,198] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7076386Z [2022-11-23 01:23:20,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7076616Z [2022-11-23 01:23:20,217] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7076867Z [2022-11-23 01:23:20,219] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7077099Z [2022-11-23 01:23:20,233] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7077389Z [2022-11-23 01:23:20,234] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7077523Z  __compiled_fn_275 <eval_with_key>.1711 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7077616Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7077714Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.7077814Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.7077911Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.7077917Z 
2022-11-23T01:32:37.7078195Z [2022-11-23 01:23:20,235] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7078276Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7078368Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7078459Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7078546Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7078622Z               8 RETURN_VALUE
2022-11-23T01:32:37.7078627Z 
2022-11-23T01:32:37.7078687Z  
2022-11-23T01:32:37.7078964Z [2022-11-23 01:23:20,235] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7079070Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_275)
2022-11-23T01:32:37.7079147Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7079235Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7079314Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7079400Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7079489Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7079563Z              12 RETURN_VALUE
2022-11-23T01:32:37.7079569Z 
2022-11-23T01:32:37.7079629Z  
2022-11-23T01:32:37.7079797Z [2022-11-23 01:23:20,237] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7079865Z  - 
2022-11-23T01:32:37.7079982Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7080046Z             {
2022-11-23T01:32:37.7080185Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7080369Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7080489Z                 'obj_weakref': None
2022-11-23T01:32:37.7080699Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7080762Z             }
2022-11-23T01:32:37.7080823Z             
2022-11-23T01:32:37.7080892Z  - 
2022-11-23T01:32:37.7081013Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7081074Z             {
2022-11-23T01:32:37.7081214Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7081366Z                 'code': None,
2022-11-23T01:32:37.7081577Z                 'obj_weakref': <weakref at 0x7f71064fbd10; to 'Tensor' at 0x7f71c222f3b0>
2022-11-23T01:32:37.7081824Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7081886Z             }
2022-11-23T01:32:37.7081948Z             
2022-11-23T01:32:37.7082015Z  - 
2022-11-23T01:32:37.7082133Z             local 'model' NN_MODULE
2022-11-23T01:32:37.7082216Z             {
2022-11-23T01:32:37.7082352Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7082522Z                 'code': ['___check_obj_id(model, 140123412548624)'],
2022-11-23T01:32:37.7082734Z                 'obj_weakref': <weakref at 0x7f70f2944290; to 'Sequential' at 0x7f71063acc10>
2022-11-23T01:32:37.7082963Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.7083026Z             }
2022-11-23T01:32:37.7083088Z             
2022-11-23T01:32:37.7083145Z  - 
2022-11-23T01:32:37.7083268Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7083330Z             {
2022-11-23T01:32:37.7083464Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7083680Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7083797Z                 'obj_weakref': None
2022-11-23T01:32:37.7084014Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7084065Z             }
2022-11-23T01:32:37.7084127Z             
2022-11-23T01:32:37.7084195Z  - 
2022-11-23T01:32:37.7084339Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.7084399Z             {
2022-11-23T01:32:37.7084516Z                 'guard_types': None,
2022-11-23T01:32:37.7084622Z                 'code': None,
2022-11-23T01:32:37.7084726Z                 'obj_weakref': None
2022-11-23T01:32:37.7084845Z                 'guarded_class': None
2022-11-23T01:32:37.7084910Z             }
2022-11-23T01:32:37.7084972Z             
2022-11-23T01:32:37.7085039Z  - 
2022-11-23T01:32:37.7085182Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.7085243Z             {
2022-11-23T01:32:37.7085349Z                 'guard_types': None,
2022-11-23T01:32:37.7085455Z                 'code': None,
2022-11-23T01:32:37.7085570Z                 'obj_weakref': None
2022-11-23T01:32:37.7085691Z                 'guarded_class': None
2022-11-23T01:32:37.7085753Z             }
2022-11-23T01:32:37.7085815Z             
2022-11-23T01:32:37.7086062Z [2022-11-23 01:23:20,270] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 268
2022-11-23T01:32:37.7086435Z [2022-11-23 01:23:20,292] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/po/cpojvdt5pxzppv4jsbaygut6f5thcepy57xcrzzz6qkmojeeemti.py
2022-11-23T01:32:37.7086697Z [2022-11-23 01:23:20,292] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 268
2022-11-23T01:32:37.7086936Z [2022-11-23 01:23:20,300] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7087201Z [2022-11-23 01:23:20,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7087414Z [2022-11-23 01:23:20,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7087655Z [2022-11-23 01:23:20,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.7087930Z [2022-11-23 01:23:20,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.7088242Z [2022-11-23 01:23:20,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7088486Z [2022-11-23 01:23:20,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7088745Z [2022-11-23 01:23:20,329] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7088994Z [2022-11-23 01:23:20,331] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7089240Z [2022-11-23 01:23:20,357] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7089451Z [2022-11-23 01:23:20,358] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7089586Z  __compiled_fn_276 <eval_with_key>.1717 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7089673Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7089772Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.7089873Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.7089958Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.7089963Z 
2022-11-23T01:32:37.7090240Z [2022-11-23 01:23:20,358] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7090335Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7090427Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7090518Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7090606Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7090681Z               8 RETURN_VALUE
2022-11-23T01:32:37.7090686Z 
2022-11-23T01:32:37.7090748Z  
2022-11-23T01:32:37.7091011Z [2022-11-23 01:23:20,358] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7091117Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_276)
2022-11-23T01:32:37.7091206Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7091294Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7091369Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7091455Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7091547Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7091610Z              12 RETURN_VALUE
2022-11-23T01:32:37.7091627Z 
2022-11-23T01:32:37.7091674Z  
2022-11-23T01:32:37.7091854Z [2022-11-23 01:23:20,360] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7091922Z  - 
2022-11-23T01:32:37.7092039Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7092102Z             {
2022-11-23T01:32:37.7092242Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7092413Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7092529Z                 'obj_weakref': None
2022-11-23T01:32:37.7092751Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7092814Z             }
2022-11-23T01:32:37.7092876Z             
2022-11-23T01:32:37.7092943Z  - 
2022-11-23T01:32:37.7093066Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7093118Z             {
2022-11-23T01:32:37.7093259Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7093365Z                 'code': None,
2022-11-23T01:32:37.7093572Z                 'obj_weakref': <weakref at 0x7f71c25f3d10; to 'Tensor' at 0x7f70f2d72590>
2022-11-23T01:32:37.7093820Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7093883Z             }
2022-11-23T01:32:37.7093946Z             
2022-11-23T01:32:37.7094001Z  - 
2022-11-23T01:32:37.7094118Z             local 'model' NN_MODULE
2022-11-23T01:32:37.7094184Z             {
2022-11-23T01:32:37.7094317Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7094486Z                 'code': ['___check_obj_id(model, 140123409611920)'],
2022-11-23T01:32:37.7094698Z                 'obj_weakref': <weakref at 0x7f7106d40710; to 'Sequential' at 0x7f71060dfc90>
2022-11-23T01:32:37.7094928Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.7095022Z             }
2022-11-23T01:32:37.7095071Z             
2022-11-23T01:32:37.7095139Z  - 
2022-11-23T01:32:37.7095262Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7095324Z             {
2022-11-23T01:32:37.7095459Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7095676Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7095818Z                 'obj_weakref': None
2022-11-23T01:32:37.7096024Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7096087Z             }
2022-11-23T01:32:37.7096150Z             
2022-11-23T01:32:37.7096217Z  - 
2022-11-23T01:32:37.7096361Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.7096423Z             {
2022-11-23T01:32:37.7096529Z                 'guard_types': None,
2022-11-23T01:32:37.7096636Z                 'code': None,
2022-11-23T01:32:37.7096754Z                 'obj_weakref': None
2022-11-23T01:32:37.7096874Z                 'guarded_class': None
2022-11-23T01:32:37.7096936Z             }
2022-11-23T01:32:37.7096997Z             
2022-11-23T01:32:37.7097064Z  - 
2022-11-23T01:32:37.7097195Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.7097258Z             {
2022-11-23T01:32:37.7097375Z                 'guard_types': None,
2022-11-23T01:32:37.7097483Z                 'code': None,
2022-11-23T01:32:37.7097599Z                 'obj_weakref': None
2022-11-23T01:32:37.7097718Z                 'guarded_class': None
2022-11-23T01:32:37.7097781Z             }
2022-11-23T01:32:37.7097830Z             
2022-11-23T01:32:37.7098089Z [2022-11-23 01:23:20,401] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 269
2022-11-23T01:32:37.7098094Z 
2022-11-23T01:32:37.7098099Z 
2022-11-23T01:32:37.7098192Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7098262Z import torch
2022-11-23T01:32:37.7098331Z import random
2022-11-23T01:32:37.7098444Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7098563Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7098568Z 
2022-11-23T01:32:37.7098645Z aten = torch.ops.aten
2022-11-23T01:32:37.7098766Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7098858Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7098864Z 
2022-11-23T01:32:37.7098870Z 
2022-11-23T01:32:37.7099004Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7099206Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7099324Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.7099384Z {
2022-11-23T01:32:37.7099480Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7099529Z     {
2022-11-23T01:32:37.7099605Z         #pragma omp for 
2022-11-23T01:32:37.7099691Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.7099752Z         {
2022-11-23T01:32:37.7099815Z             {
2022-11-23T01:32:37.7099877Z                 {
2022-11-23T01:32:37.7099997Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.7100091Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.7100192Z                     auto tmp2 = static_cast<float>(0);
2022-11-23T01:32:37.7100284Z                     auto tmp3 = tmp1 > tmp2;
2022-11-23T01:32:37.7100387Z                     auto tmp4 = static_cast<float>(0.1);
2022-11-23T01:32:37.7100476Z                     auto tmp5 = tmp1 * tmp4;
2022-11-23T01:32:37.7100570Z                     auto tmp6 = tmp3 ? tmp1 : tmp5;
2022-11-23T01:32:37.7100678Z                     auto tmp7 = static_cast<bfloat16>(tmp6);
2022-11-23T01:32:37.7100756Z                     in_out_ptr0[i0] = tmp7;
2022-11-23T01:32:37.7100822Z                 }
2022-11-23T01:32:37.7100885Z             }
2022-11-23T01:32:37.7100978Z         }
2022-11-23T01:32:37.7101038Z     }
2022-11-23T01:32:37.7101096Z }
2022-11-23T01:32:37.7101173Z ''')
2022-11-23T01:32:37.7101178Z 
2022-11-23T01:32:37.7101182Z 
2022-11-23T01:32:37.7101258Z async_compile.wait(globals())
2022-11-23T01:32:37.7101330Z del async_compile
2022-11-23T01:32:37.7101335Z 
2022-11-23T01:32:37.7101403Z def call(args):
2022-11-23T01:32:37.7101483Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.7101553Z     args.clear()
2022-11-23T01:32:37.7101794Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7101946Z     aten.addmm.out(arg1_1, arg2_1, as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.7102016Z     del arg0_1
2022-11-23T01:32:37.7102070Z     del arg1_1
2022-11-23T01:32:37.7102134Z     del arg2_1
2022-11-23T01:32:37.7102217Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.7102319Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7102391Z     return (buf1, )
2022-11-23T01:32:37.7102398Z 
2022-11-23T01:32:37.7102403Z 
2022-11-23T01:32:37.7102479Z if __name__ == "__main__":
2022-11-23T01:32:37.7102593Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7102702Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7102903Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7103097Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7103295Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7103416Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.7103421Z 
2022-11-23T01:32:37.7103425Z 
2022-11-23T01:32:37.7103519Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7103590Z import torch
2022-11-23T01:32:37.7103659Z import random
2022-11-23T01:32:37.7103760Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7103879Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7103884Z 
2022-11-23T01:32:37.7103960Z aten = torch.ops.aten
2022-11-23T01:32:37.7104091Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7104237Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7104242Z 
2022-11-23T01:32:37.7104246Z 
2022-11-23T01:32:37.7104377Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7104667Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7104790Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.7104839Z {
2022-11-23T01:32:37.7104934Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7104995Z     {
2022-11-23T01:32:37.7105072Z         #pragma omp for 
2022-11-23T01:32:37.7105153Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.7105215Z         {
2022-11-23T01:32:37.7105277Z             {
2022-11-23T01:32:37.7105328Z                 {
2022-11-23T01:32:37.7105448Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.7105555Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.7105658Z                     auto tmp2 = static_cast<float>(0);
2022-11-23T01:32:37.7105747Z                     auto tmp3 = tmp1 > tmp2;
2022-11-23T01:32:37.7105850Z                     auto tmp4 = static_cast<float>(0.1);
2022-11-23T01:32:37.7105938Z                     auto tmp5 = tmp1 * tmp4;
2022-11-23T01:32:37.7106024Z                     auto tmp6 = tmp3 ? tmp1 : tmp5;
2022-11-23T01:32:37.7106132Z                     auto tmp7 = static_cast<bfloat16>(tmp6);
2022-11-23T01:32:37.7106222Z                     in_out_ptr0[i0] = tmp7;
2022-11-23T01:32:37.7106286Z                 }
2022-11-23T01:32:37.7106349Z             }
2022-11-23T01:32:37.7106411Z         }
2022-11-23T01:32:37.7106472Z     }
2022-11-23T01:32:37.7106518Z }
2022-11-23T01:32:37.7106597Z ''')
2022-11-23T01:32:37.7106603Z 
2022-11-23T01:32:37.7106607Z 
2022-11-23T01:32:37.7106734Z async_compile.wait(globals())
2022-11-23T01:32:37.7106807Z del async_compile
2022-11-23T01:32:37.7106811Z 
2022-11-23T01:32:37.7106880Z def call(args):
2022-11-23T01:32:37.7106955Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.7107024Z     args.clear()
2022-11-23T01:32:37.7107211Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7107331Z     aten.mm.out(arg1_1, as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.7107427Z     del arg0_1
2022-11-23T01:32:37.7107496Z     del arg1_1
2022-11-23T01:32:37.7107579Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.7107680Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7107751Z     return (buf1, )
2022-11-23T01:32:37.7107756Z 
2022-11-23T01:32:37.7107760Z 
2022-11-23T01:32:37.7107834Z if __name__ == "__main__":
2022-11-23T01:32:37.7107934Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7108055Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7108261Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7108461Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7108576Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.7108581Z 
2022-11-23T01:32:37.7108585Z 
2022-11-23T01:32:37.7108677Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7108745Z import torch
2022-11-23T01:32:37.7108804Z import random
2022-11-23T01:32:37.7108917Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7109035Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7109039Z 
2022-11-23T01:32:37.7109116Z aten = torch.ops.aten
2022-11-23T01:32:37.7109249Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7109338Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7109344Z 
2022-11-23T01:32:37.7109348Z 
2022-11-23T01:32:37.7109478Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7109682Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7109799Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.7109848Z {
2022-11-23T01:32:37.7109944Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7110009Z     {
2022-11-23T01:32:37.7110085Z         #pragma omp for 
2022-11-23T01:32:37.7110169Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.7110233Z         {
2022-11-23T01:32:37.7110283Z             {
2022-11-23T01:32:37.7110347Z                 {
2022-11-23T01:32:37.7110468Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.7110572Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.7110727Z                     auto tmp2 = static_cast<float>(-0.5);
2022-11-23T01:32:37.7110839Z                     auto tmp3 = std::max(tmp1, tmp2);
2022-11-23T01:32:37.7110942Z                     auto tmp4 = static_cast<float>(4.0);
2022-11-23T01:32:37.7111047Z                     auto tmp5 = std::min(tmp3, tmp4);
2022-11-23T01:32:37.7111144Z                     auto tmp6 = static_cast<bfloat16>(tmp5);
2022-11-23T01:32:37.7111233Z                     in_out_ptr0[i0] = tmp6;
2022-11-23T01:32:37.7111297Z                 }
2022-11-23T01:32:37.7111358Z             }
2022-11-23T01:32:37.7111420Z         }
2022-11-23T01:32:37.7111481Z     }
2022-11-23T01:32:37.7111527Z }
2022-11-23T01:32:37.7111605Z ''')
2022-11-23T01:32:37.7111611Z 
2022-11-23T01:32:37.7111615Z 
2022-11-23T01:32:37.7111705Z async_compile.wait(globals())
2022-11-23T01:32:37.7111777Z del async_compile
2022-11-23T01:32:37.7111782Z 
2022-11-23T01:32:37.7111853Z def call(args):
2022-11-23T01:32:37.7111933Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.7112003Z     args.clear()
2022-11-23T01:32:37.7112200Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7112357Z     aten.addmm.out(arg1_1, as_strided(arg2_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.7112458Z     del arg0_1
2022-11-23T01:32:37.7112522Z     del arg1_1
2022-11-23T01:32:37.7112587Z     del arg2_1
2022-11-23T01:32:37.7112704Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.7112807Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7112878Z     return (buf1, )
2022-11-23T01:32:37.7112883Z 
2022-11-23T01:32:37.7112942Z 
2022-11-23T01:32:37.7113021Z if __name__ == "__main__":
2022-11-23T01:32:37.7113121Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7113242Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7113445Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7113639Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7113846Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7113969Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.7113974Z 
2022-11-23T01:32:37.7113979Z 
2022-11-23T01:32:37.7114072Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7114139Z import torch
2022-11-23T01:32:37.7114196Z import random
2022-11-23T01:32:37.7114309Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7114429Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7114434Z 
2022-11-23T01:32:37.7114510Z aten = torch.ops.aten
2022-11-23T01:32:37.7114642Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7114731Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7114736Z 
2022-11-23T01:32:37.7114740Z 
2022-11-23T01:32:37.7114872Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7115074Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7115182Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.7115242Z {
2022-11-23T01:32:37.7115339Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7115400Z     {
2022-11-23T01:32:37.7115477Z         #pragma omp for 
2022-11-23T01:32:37.7115558Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.7115608Z         {
2022-11-23T01:32:37.7115670Z             {
2022-11-23T01:32:37.7115734Z                 {
2022-11-23T01:32:37.7115858Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.7115964Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.7116119Z                     auto tmp2 = static_cast<float>(-0.5);
2022-11-23T01:32:37.7116222Z                     auto tmp3 = std::max(tmp1, tmp2);
2022-11-23T01:32:37.7116327Z                     auto tmp4 = static_cast<float>(4.0);
2022-11-23T01:32:37.7116417Z                     auto tmp5 = std::min(tmp3, tmp4);
2022-11-23T01:32:37.7116524Z                     auto tmp6 = static_cast<bfloat16>(tmp5);
2022-11-23T01:32:37.7116615Z                     in_out_ptr0[i0] = tmp6;
2022-11-23T01:32:37.7116680Z                 }
2022-11-23T01:32:37.7116742Z             }
2022-11-23T01:32:37.7116804Z         }
2022-11-23T01:32:37.7116852Z     }
2022-11-23T01:32:37.7116911Z }
2022-11-23T01:32:37.7116987Z ''')
2022-11-23T01:32:37.7116993Z 
2022-11-23T01:32:37.7116997Z 
2022-11-23T01:32:37.7117084Z async_compile.wait(globals())
2022-11-23T01:32:37.7117257Z del async_compile
2022-11-23T01:32:37.7117264Z 
2022-11-23T01:32:37.7117334Z def call(args):
2022-11-23T01:32:37.7117408Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.7117477Z     args.clear()
2022-11-23T01:32:37.7117664Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7117806Z     aten.mm.out(as_strided(arg1_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.7117872Z     del arg0_1
2022-11-23T01:32:37.7117940Z     del arg1_1
2022-11-23T01:32:37.7118106Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.7118209Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7118280Z     return (buf1, )
2022-11-23T01:32:37.7118286Z 
2022-11-23T01:32:37.7118289Z 
2022-11-23T01:32:37.7118363Z if __name__ == "__main__":
2022-11-23T01:32:37.7118464Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7118585Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7118822Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7119032Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7119144Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.7119150Z 
2022-11-23T01:32:37.7119154Z 
2022-11-23T01:32:37.7119246Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7119314Z import torch
2022-11-23T01:32:37.7119371Z import random
2022-11-23T01:32:37.7119486Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7119606Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7119611Z 
2022-11-23T01:32:37.7119688Z aten = torch.ops.aten
2022-11-23T01:32:37.7119819Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7119908Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7119913Z 
2022-11-23T01:32:37.7119917Z 
2022-11-23T01:32:37.7120048Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7120253Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7120373Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.7120421Z {
2022-11-23T01:32:37.7120516Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7120575Z     {
2022-11-23T01:32:37.7120655Z         #pragma omp for 
2022-11-23T01:32:37.7120735Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.7120797Z         {
2022-11-23T01:32:37.7120850Z             {
2022-11-23T01:32:37.7120913Z                 {
2022-11-23T01:32:37.7121032Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.7121136Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.7121291Z                     auto tmp2 = static_cast<float>(-0.5);
2022-11-23T01:32:37.7121397Z                     auto tmp3 = std::max(tmp1, tmp2);
2022-11-23T01:32:37.7121502Z                     auto tmp4 = static_cast<float>(4.0);
2022-11-23T01:32:37.7121604Z                     auto tmp5 = std::min(tmp3, tmp4);
2022-11-23T01:32:37.7121701Z                     auto tmp6 = static_cast<bfloat16>(tmp5);
2022-11-23T01:32:37.7121790Z                     in_out_ptr0[i0] = tmp6;
2022-11-23T01:32:37.7121859Z                 }
2022-11-23T01:32:37.7121921Z             }
2022-11-23T01:32:37.7121983Z         }
2022-11-23T01:32:37.7122043Z     }
2022-11-23T01:32:37.7122091Z }
2022-11-23T01:32:37.7122168Z ''')
2022-11-23T01:32:37.7122175Z 
2022-11-23T01:32:37.7122179Z 
2022-11-23T01:32:37.7122267Z async_compile.wait(globals())
2022-11-23T01:32:37.7122341Z del async_compile
2022-11-23T01:32:37.7122346Z 
2022-11-23T01:32:37.7122415Z def call(args):
2022-11-23T01:32:37.7122496Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.7122565Z     args.clear()
2022-11-23T01:32:37.7122763Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7122903Z     aten.addmm.out(arg1_1, arg2_1, as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.7122969Z     del arg0_1
2022-11-23T01:32:37.7123035Z     del arg1_1
2022-11-23T01:32:37.7123100Z     del arg2_1
2022-11-23T01:32:37.7123182Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.7123284Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7123354Z     return (buf1, )
2022-11-23T01:32:37.7123358Z 
2022-11-23T01:32:37.7123362Z 
2022-11-23T01:32:37.7123425Z if __name__ == "__main__":
2022-11-23T01:32:37.7123562Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7123683Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7123885Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7124080Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7124276Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7124423Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.7124794Z [2022-11-23 01:23:22,972] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/37/c37jbbz4xzhu2b7oopluk5neleimot55hkuvfqaypsod2znh7mbd.py
2022-11-23T01:32:37.7125048Z [2022-11-23 01:23:22,973] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 269
2022-11-23T01:32:37.7125283Z [2022-11-23 01:23:22,984] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7125551Z [2022-11-23 01:23:22,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7125764Z [2022-11-23 01:23:22,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7126005Z [2022-11-23 01:23:22,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.7126283Z [2022-11-23 01:23:22,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.7126598Z [2022-11-23 01:23:22,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7126843Z [2022-11-23 01:23:23,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7127074Z [2022-11-23 01:23:23,000] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7127337Z [2022-11-23 01:23:23,002] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7127686Z [2022-11-23 01:23:23,015] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7127876Z [2022-11-23 01:23:23,015] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7128009Z  __compiled_fn_277 <eval_with_key>.1723 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7128102Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7128199Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.7128302Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.7128402Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.7128406Z 
2022-11-23T01:32:37.7128682Z [2022-11-23 01:23:23,016] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7128762Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7128853Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7128944Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7129032Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7129108Z               8 RETURN_VALUE
2022-11-23T01:32:37.7129114Z 
2022-11-23T01:32:37.7129174Z  
2022-11-23T01:32:37.7129450Z [2022-11-23 01:23:23,016] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7129545Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_277)
2022-11-23T01:32:37.7129634Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7129722Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7129797Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7129885Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7129976Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7130049Z              12 RETURN_VALUE
2022-11-23T01:32:37.7130092Z 
2022-11-23T01:32:37.7130152Z  
2022-11-23T01:32:37.7130321Z [2022-11-23 01:23:23,018] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7130389Z  - 
2022-11-23T01:32:37.7130505Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7130569Z             {
2022-11-23T01:32:37.7130708Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7130892Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7131032Z                 'obj_weakref': None
2022-11-23T01:32:37.7131244Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7131309Z             }
2022-11-23T01:32:37.7131371Z             
2022-11-23T01:32:37.7131438Z  - 
2022-11-23T01:32:37.7131561Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7131623Z             {
2022-11-23T01:32:37.7131764Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7131858Z                 'code': None,
2022-11-23T01:32:37.7132070Z                 'obj_weakref': <weakref at 0x7f71c25f3d70; to 'Tensor' at 0x7f70f2944230>
2022-11-23T01:32:37.7132318Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7132384Z             }
2022-11-23T01:32:37.7132446Z             
2022-11-23T01:32:37.7132514Z  - 
2022-11-23T01:32:37.7132633Z             local 'model' NN_MODULE
2022-11-23T01:32:37.7132683Z             {
2022-11-23T01:32:37.7132817Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7132984Z                 'code': ['___check_obj_id(model, 140123620721872)'],
2022-11-23T01:32:37.7133199Z                 'obj_weakref': <weakref at 0x7f7106707dd0; to 'Sequential' at 0x7f7112a344d0>
2022-11-23T01:32:37.7133429Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.7133492Z             }
2022-11-23T01:32:37.7133553Z             
2022-11-23T01:32:37.7133610Z  - 
2022-11-23T01:32:37.7133731Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7133794Z             {
2022-11-23T01:32:37.7133929Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7134147Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7134263Z                 'obj_weakref': None
2022-11-23T01:32:37.7134482Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7134533Z             }
2022-11-23T01:32:37.7134596Z             
2022-11-23T01:32:37.7134663Z  - 
2022-11-23T01:32:37.7134808Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.7134870Z             {
2022-11-23T01:32:37.7134987Z                 'guard_types': None,
2022-11-23T01:32:37.7135092Z                 'code': None,
2022-11-23T01:32:37.7135196Z                 'obj_weakref': None
2022-11-23T01:32:37.7135316Z                 'guarded_class': None
2022-11-23T01:32:37.7135381Z             }
2022-11-23T01:32:37.7135443Z             
2022-11-23T01:32:37.7135510Z  - 
2022-11-23T01:32:37.7135651Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.7135701Z             {
2022-11-23T01:32:37.7135817Z                 'guard_types': None,
2022-11-23T01:32:37.7135921Z                 'code': None,
2022-11-23T01:32:37.7136037Z                 'obj_weakref': None
2022-11-23T01:32:37.7136156Z                 'guarded_class': None
2022-11-23T01:32:37.7136220Z             }
2022-11-23T01:32:37.7136282Z             
2022-11-23T01:32:37.7136529Z [2022-11-23 01:23:23,047] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 270
2022-11-23T01:32:37.7136891Z [2022-11-23 01:23:23,066] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/s4/cs4t5rx2axsnvvnsbeftms555r6ri2omeag6wzb5bz5onurighux.py
2022-11-23T01:32:37.7137155Z [2022-11-23 01:23:23,066] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 270
2022-11-23T01:32:37.7137422Z [2022-11-23 01:23:23,074] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7137689Z [2022-11-23 01:23:23,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7137904Z [2022-11-23 01:23:23,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7138229Z [2022-11-23 01:23:23,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.7138629Z [2022-11-23 01:23:23,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.7139008Z [2022-11-23 01:23:23,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7139255Z [2022-11-23 01:23:23,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7139480Z [2022-11-23 01:23:23,105] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7139733Z [2022-11-23 01:23:23,107] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7139982Z [2022-11-23 01:23:23,139] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7140172Z [2022-11-23 01:23:23,140] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7140305Z  __compiled_fn_278 <eval_with_key>.1729 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7140394Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7140493Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.7140594Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.7140679Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.7140684Z 
2022-11-23T01:32:37.7140962Z [2022-11-23 01:23:23,140] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7141058Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7141148Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7141239Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7141328Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7141404Z               8 RETURN_VALUE
2022-11-23T01:32:37.7141409Z 
2022-11-23T01:32:37.7141469Z  
2022-11-23T01:32:37.7141732Z [2022-11-23 01:23:23,140] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7141838Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_278)
2022-11-23T01:32:37.7141927Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7142015Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7142090Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7142177Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7142270Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7142332Z              12 RETURN_VALUE
2022-11-23T01:32:37.7142337Z 
2022-11-23T01:32:37.7142397Z  
2022-11-23T01:32:37.7142577Z [2022-11-23 01:23:23,142] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7142646Z  - 
2022-11-23T01:32:37.7142763Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7142827Z             {
2022-11-23T01:32:37.7142965Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7143142Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7143260Z                 'obj_weakref': None
2022-11-23T01:32:37.7143483Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7143547Z             }
2022-11-23T01:32:37.7143609Z             
2022-11-23T01:32:37.7143677Z  - 
2022-11-23T01:32:37.7143799Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7143850Z             {
2022-11-23T01:32:37.7144034Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7144142Z                 'code': None,
2022-11-23T01:32:37.7144348Z                 'obj_weakref': <weakref at 0x7f710650c830; to 'Tensor' at 0x7f7106707d70>
2022-11-23T01:32:37.7144677Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7144742Z             }
2022-11-23T01:32:37.7144803Z             
2022-11-23T01:32:37.7144902Z  - 
2022-11-23T01:32:37.7145022Z             local 'model' NN_MODULE
2022-11-23T01:32:37.7145085Z             {
2022-11-23T01:32:37.7145219Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7145387Z                 'code': ['___check_obj_id(model, 140123422296528)'],
2022-11-23T01:32:37.7145597Z                 'obj_weakref': <weakref at 0x7f7124168a70; to 'Sequential' at 0x7f7106cf89d0>
2022-11-23T01:32:37.7145826Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.7145891Z             }
2022-11-23T01:32:37.7145941Z             
2022-11-23T01:32:37.7146009Z  - 
2022-11-23T01:32:37.7146130Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7146191Z             {
2022-11-23T01:32:37.7146328Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7146543Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7146649Z                 'obj_weakref': None
2022-11-23T01:32:37.7146867Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7146929Z             }
2022-11-23T01:32:37.7146994Z             
2022-11-23T01:32:37.7147062Z  - 
2022-11-23T01:32:37.7147205Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.7147269Z             {
2022-11-23T01:32:37.7147375Z                 'guard_types': None,
2022-11-23T01:32:37.7147479Z                 'code': None,
2022-11-23T01:32:37.7147596Z                 'obj_weakref': None
2022-11-23T01:32:37.7147716Z                 'guarded_class': None
2022-11-23T01:32:37.7147778Z             }
2022-11-23T01:32:37.7147841Z             
2022-11-23T01:32:37.7147907Z  - 
2022-11-23T01:32:37.7148037Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.7148098Z             {
2022-11-23T01:32:37.7148214Z                 'guard_types': None,
2022-11-23T01:32:37.7148319Z                 'code': None,
2022-11-23T01:32:37.7148436Z                 'obj_weakref': None
2022-11-23T01:32:37.7148556Z                 'guarded_class': None
2022-11-23T01:32:37.7148616Z             }
2022-11-23T01:32:37.7148667Z             
2022-11-23T01:32:37.7148923Z [2022-11-23 01:23:23,224] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 271
2022-11-23T01:32:37.7149294Z [2022-11-23 01:23:25,751] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/al/calvs4vk7q4hojrvkczeyukr7sasp3ne7khpuwhcbgeftv4afrs7.py
2022-11-23T01:32:37.7149558Z [2022-11-23 01:23:25,751] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 271
2022-11-23T01:32:37.7149792Z [2022-11-23 01:23:25,765] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7150057Z [2022-11-23 01:23:25,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7150274Z [2022-11-23 01:23:25,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7150515Z [2022-11-23 01:23:25,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.7150777Z [2022-11-23 01:23:25,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.7151089Z [2022-11-23 01:23:25,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7151364Z [2022-11-23 01:23:25,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7151597Z [2022-11-23 01:23:25,785] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7151848Z [2022-11-23 01:23:25,787] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7152119Z [2022-11-23 01:23:25,802] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7152306Z [2022-11-23 01:23:25,803] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7152438Z  __compiled_fn_279 <eval_with_key>.1735 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7152526Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7152613Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.7152715Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.7152815Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.7152823Z 
2022-11-23T01:32:37.7153099Z [2022-11-23 01:23:25,803] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7153193Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7153284Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7153376Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7153468Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7153531Z               8 RETURN_VALUE
2022-11-23T01:32:37.7153536Z 
2022-11-23T01:32:37.7153600Z  
2022-11-23T01:32:37.7153869Z [2022-11-23 01:23:25,803] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7153979Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_279)
2022-11-23T01:32:37.7154067Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7154155Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7154234Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7154308Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7154397Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7154474Z              12 RETURN_VALUE
2022-11-23T01:32:37.7154478Z 
2022-11-23T01:32:37.7154537Z  
2022-11-23T01:32:37.7154716Z [2022-11-23 01:23:25,805] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7154784Z  - 
2022-11-23T01:32:37.7154909Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7154971Z             {
2022-11-23T01:32:37.7155098Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7155281Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7155400Z                 'obj_weakref': None
2022-11-23T01:32:37.7155621Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7155684Z             }
2022-11-23T01:32:37.7155750Z             
2022-11-23T01:32:37.7155817Z  - 
2022-11-23T01:32:37.7155926Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7155988Z             {
2022-11-23T01:32:37.7156128Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7156233Z                 'code': None,
2022-11-23T01:32:37.7156439Z                 'obj_weakref': <weakref at 0x7f7106e85590; to 'Tensor' at 0x7f71069e4290>
2022-11-23T01:32:37.7156688Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7156751Z             }
2022-11-23T01:32:37.7156802Z             
2022-11-23T01:32:37.7156870Z  - 
2022-11-23T01:32:37.7156987Z             local 'model' NN_MODULE
2022-11-23T01:32:37.7157049Z             {
2022-11-23T01:32:37.7157302Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7157473Z                 'code': ['___check_obj_id(model, 140123620682704)'],
2022-11-23T01:32:37.7157684Z                 'obj_weakref': <weakref at 0x7f71067645f0; to 'Sequential' at 0x7f7112a2abd0>
2022-11-23T01:32:37.7157973Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.7158035Z             }
2022-11-23T01:32:37.7158096Z             
2022-11-23T01:32:37.7158164Z  - 
2022-11-23T01:32:37.7158286Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7158350Z             {
2022-11-23T01:32:37.7158487Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7158729Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7158850Z                 'obj_weakref': None
2022-11-23T01:32:37.7159074Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7159137Z             }
2022-11-23T01:32:37.7159199Z             
2022-11-23T01:32:37.7159266Z  - 
2022-11-23T01:32:37.7159409Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.7159461Z             {
2022-11-23T01:32:37.7159578Z                 'guard_types': None,
2022-11-23T01:32:37.7159683Z                 'code': None,
2022-11-23T01:32:37.7159799Z                 'obj_weakref': None
2022-11-23T01:32:37.7159917Z                 'guarded_class': None
2022-11-23T01:32:37.7159978Z             }
2022-11-23T01:32:37.7160039Z             
2022-11-23T01:32:37.7160096Z  - 
2022-11-23T01:32:37.7160238Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.7160305Z             {
2022-11-23T01:32:37.7160422Z                 'guard_types': None,
2022-11-23T01:32:37.7160525Z                 'code': None,
2022-11-23T01:32:37.7160641Z                 'obj_weakref': None
2022-11-23T01:32:37.7160747Z                 'guarded_class': None
2022-11-23T01:32:37.7160809Z             }
2022-11-23T01:32:37.7160871Z             
2022-11-23T01:32:37.7161128Z [2022-11-23 01:23:25,830] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 272
2022-11-23T01:32:37.7161492Z [2022-11-23 01:23:25,849] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ku/ckuvyrvik6vqdgv43oq2k476i34twb7n3eob5ubgcf7jmuup7mvw.py
2022-11-23T01:32:37.7161755Z [2022-11-23 01:23:25,849] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 272
2022-11-23T01:32:37.7161990Z [2022-11-23 01:23:25,855] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7162257Z [2022-11-23 01:23:25,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7162471Z [2022-11-23 01:23:25,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7162702Z [2022-11-23 01:23:25,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.7162976Z [2022-11-23 01:23:25,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.7163294Z [2022-11-23 01:23:25,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7163539Z [2022-11-23 01:23:25,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7163771Z [2022-11-23 01:23:25,876] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7164024Z [2022-11-23 01:23:25,877] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7164270Z [2022-11-23 01:23:25,895] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7164457Z [2022-11-23 01:23:25,896] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7164588Z  __compiled_fn_280 <eval_with_key>.1741 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7164665Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7164762Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.7164909Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.7165006Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.7165012Z 
2022-11-23T01:32:37.7165285Z [2022-11-23 01:23:25,896] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7165376Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7165493Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7165573Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7165665Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7165739Z               8 RETURN_VALUE
2022-11-23T01:32:37.7165744Z 
2022-11-23T01:32:37.7165803Z  
2022-11-23T01:32:37.7166075Z [2022-11-23 01:23:25,896] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7166181Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_280)
2022-11-23T01:32:37.7166277Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7166365Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7166428Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7166514Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7166603Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7166677Z              12 RETURN_VALUE
2022-11-23T01:32:37.7166681Z 
2022-11-23T01:32:37.7166740Z  
2022-11-23T01:32:37.7166921Z [2022-11-23 01:23:25,898] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7166989Z  - 
2022-11-23T01:32:37.7167094Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7167157Z             {
2022-11-23T01:32:37.7167296Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7167484Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7167601Z                 'obj_weakref': None
2022-11-23T01:32:37.7167821Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7167886Z             }
2022-11-23T01:32:37.7167937Z             
2022-11-23T01:32:37.7168005Z  - 
2022-11-23T01:32:37.7168126Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7168189Z             {
2022-11-23T01:32:37.7168329Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7168434Z                 'code': None,
2022-11-23T01:32:37.7168645Z                 'obj_weakref': <weakref at 0x7f7106bc3a10; to 'Tensor' at 0x7f71c13454d0>
2022-11-23T01:32:37.7168880Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7168943Z             }
2022-11-23T01:32:37.7169005Z             
2022-11-23T01:32:37.7169071Z  - 
2022-11-23T01:32:37.7169189Z             local 'model' NN_MODULE
2022-11-23T01:32:37.7169250Z             {
2022-11-23T01:32:37.7169382Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7169537Z                 'code': ['___check_obj_id(model, 140123417266832)'],
2022-11-23T01:32:37.7169753Z                 'obj_weakref': <weakref at 0x7f7106395cb0; to 'Sequential' at 0x7f710682ca90>
2022-11-23T01:32:37.7169982Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.7170044Z             }
2022-11-23T01:32:37.7170108Z             
2022-11-23T01:32:37.7170179Z  - 
2022-11-23T01:32:37.7170301Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7170351Z             {
2022-11-23T01:32:37.7170486Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7170701Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7170820Z                 'obj_weakref': None
2022-11-23T01:32:37.7171038Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7171099Z             }
2022-11-23T01:32:37.7171198Z             
2022-11-23T01:32:37.7171254Z  - 
2022-11-23T01:32:37.7171397Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.7171458Z             {
2022-11-23T01:32:37.7171576Z                 'guard_types': None,
2022-11-23T01:32:37.7171680Z                 'code': None,
2022-11-23T01:32:37.7171795Z                 'obj_weakref': None
2022-11-23T01:32:37.7171915Z                 'guarded_class': None
2022-11-23T01:32:37.7171964Z             }
2022-11-23T01:32:37.7172058Z             
2022-11-23T01:32:37.7172126Z  - 
2022-11-23T01:32:37.7172270Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.7172331Z             {
2022-11-23T01:32:37.7172449Z                 'guard_types': None,
2022-11-23T01:32:37.7172553Z                 'code': None,
2022-11-23T01:32:37.7172657Z                 'obj_weakref': None
2022-11-23T01:32:37.7172776Z                 'guarded_class': None
2022-11-23T01:32:37.7172837Z             }
2022-11-23T01:32:37.7172898Z             
2022-11-23T01:32:37.7173159Z [2022-11-23 01:23:25,928] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 273
2022-11-23T01:32:37.7173164Z 
2022-11-23T01:32:37.7173169Z 
2022-11-23T01:32:37.7173260Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7173327Z import torch
2022-11-23T01:32:37.7173383Z import random
2022-11-23T01:32:37.7173497Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7173616Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7173623Z 
2022-11-23T01:32:37.7173700Z aten = torch.ops.aten
2022-11-23T01:32:37.7173834Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7173924Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7173930Z 
2022-11-23T01:32:37.7173934Z 
2022-11-23T01:32:37.7174067Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7174271Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7174377Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.7174440Z {
2022-11-23T01:32:37.7174535Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7174596Z     {
2022-11-23T01:32:37.7174673Z         #pragma omp for 
2022-11-23T01:32:37.7174753Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.7174814Z         {
2022-11-23T01:32:37.7174865Z             {
2022-11-23T01:32:37.7174927Z                 {
2022-11-23T01:32:37.7175049Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.7175156Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.7175312Z                     auto tmp2 = static_cast<float>(-0.5);
2022-11-23T01:32:37.7175427Z                     auto tmp3 = std::max(tmp1, tmp2);
2022-11-23T01:32:37.7175530Z                     auto tmp4 = static_cast<float>(4.0);
2022-11-23T01:32:37.7175622Z                     auto tmp5 = std::min(tmp3, tmp4);
2022-11-23T01:32:37.7175737Z                     auto tmp6 = static_cast<bfloat16>(tmp5);
2022-11-23T01:32:37.7175829Z                     in_out_ptr0[i0] = tmp6;
2022-11-23T01:32:37.7175894Z                 }
2022-11-23T01:32:37.7175957Z             }
2022-11-23T01:32:37.7176017Z         }
2022-11-23T01:32:37.7176078Z     }
2022-11-23T01:32:37.7176125Z }
2022-11-23T01:32:37.7176202Z ''')
2022-11-23T01:32:37.7176207Z 
2022-11-23T01:32:37.7176211Z 
2022-11-23T01:32:37.7176299Z async_compile.wait(globals())
2022-11-23T01:32:37.7176374Z del async_compile
2022-11-23T01:32:37.7176382Z 
2022-11-23T01:32:37.7176452Z def call(args):
2022-11-23T01:32:37.7176525Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.7176599Z     args.clear()
2022-11-23T01:32:37.7176786Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7176906Z     aten.mm.out(arg1_1, as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.7176973Z     del arg0_1
2022-11-23T01:32:37.7177039Z     del arg1_1
2022-11-23T01:32:37.7177123Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.7177269Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7177339Z     return (buf1, )
2022-11-23T01:32:37.7177344Z 
2022-11-23T01:32:37.7177348Z 
2022-11-23T01:32:37.7177423Z if __name__ == "__main__":
2022-11-23T01:32:37.7177521Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7177642Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7177870Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7178068Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7178182Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.7178186Z 
2022-11-23T01:32:37.7178191Z 
2022-11-23T01:32:37.7178281Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7178349Z import torch
2022-11-23T01:32:37.7178418Z import random
2022-11-23T01:32:37.7178518Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7178640Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7178645Z 
2022-11-23T01:32:37.7178721Z aten = torch.ops.aten
2022-11-23T01:32:37.7178856Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7178947Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7178952Z 
2022-11-23T01:32:37.7178956Z 
2022-11-23T01:32:37.7179086Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7179293Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7179411Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.7179459Z {
2022-11-23T01:32:37.7179555Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7179617Z     {
2022-11-23T01:32:37.7179694Z         #pragma omp for 
2022-11-23T01:32:37.7179776Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.7179838Z         {
2022-11-23T01:32:37.7179901Z             {
2022-11-23T01:32:37.7179952Z                 {
2022-11-23T01:32:37.7180073Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.7180178Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.7180288Z                     auto tmp2 = static_cast<float>(0.5);
2022-11-23T01:32:37.7180378Z                     auto tmp3 = tmp1 * tmp2;
2022-11-23T01:32:37.7180489Z                     auto tmp4 = static_cast<float>(0.7071067811865476);
2022-11-23T01:32:37.7180581Z                     auto tmp5 = tmp1 * tmp4;
2022-11-23T01:32:37.7180665Z                     auto tmp6 = std::erf(tmp5);
2022-11-23T01:32:37.7180767Z                     auto tmp7 = static_cast<float>(1);
2022-11-23T01:32:37.7180857Z                     auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:37.7180944Z                     auto tmp9 = tmp3 * tmp8;
2022-11-23T01:32:37.7181055Z                     auto tmp10 = static_cast<bfloat16>(tmp9);
2022-11-23T01:32:37.7181140Z                     in_out_ptr0[i0] = tmp10;
2022-11-23T01:32:37.7181204Z                 }
2022-11-23T01:32:37.7181257Z             }
2022-11-23T01:32:37.7181318Z         }
2022-11-23T01:32:37.7181378Z     }
2022-11-23T01:32:37.7181436Z }
2022-11-23T01:32:37.7181512Z ''')
2022-11-23T01:32:37.7181517Z 
2022-11-23T01:32:37.7181521Z 
2022-11-23T01:32:37.7181610Z async_compile.wait(globals())
2022-11-23T01:32:37.7181681Z del async_compile
2022-11-23T01:32:37.7181686Z 
2022-11-23T01:32:37.7181743Z def call(args):
2022-11-23T01:32:37.7181824Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.7181899Z     args.clear()
2022-11-23T01:32:37.7182096Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7182269Z     aten.addmm.out(arg1_1, as_strided(arg2_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.7182336Z     del arg0_1
2022-11-23T01:32:37.7182401Z     del arg1_1
2022-11-23T01:32:37.7182454Z     del arg2_1
2022-11-23T01:32:37.7182568Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.7182707Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7182783Z     return (buf1, )
2022-11-23T01:32:37.7182788Z 
2022-11-23T01:32:37.7182792Z 
2022-11-23T01:32:37.7182867Z if __name__ == "__main__":
2022-11-23T01:32:37.7182978Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7183098Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7183327Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7183509Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7183714Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7183834Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.7183839Z 
2022-11-23T01:32:37.7183843Z 
2022-11-23T01:32:37.7183935Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7184006Z import torch
2022-11-23T01:32:37.7184077Z import random
2022-11-23T01:32:37.7184190Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7184309Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7184313Z 
2022-11-23T01:32:37.7184377Z aten = torch.ops.aten
2022-11-23T01:32:37.7184630Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7184727Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7184732Z 
2022-11-23T01:32:37.7184736Z 
2022-11-23T01:32:37.7184879Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7185080Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7185199Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.7185258Z {
2022-11-23T01:32:37.7185354Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7185402Z     {
2022-11-23T01:32:37.7185476Z         #pragma omp for 
2022-11-23T01:32:37.7185559Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.7185623Z         {
2022-11-23T01:32:37.7185685Z             {
2022-11-23T01:32:37.7185748Z                 {
2022-11-23T01:32:37.7185866Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.7185959Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.7186064Z                     auto tmp2 = static_cast<float>(0.5);
2022-11-23T01:32:37.7186154Z                     auto tmp3 = tmp1 * tmp2;
2022-11-23T01:32:37.7191919Z                     auto tmp4 = static_cast<float>(0.7071067811865476);
2022-11-23T01:32:37.7192040Z                     auto tmp5 = tmp1 * tmp4;
2022-11-23T01:32:37.7192152Z                     auto tmp6 = std::erf(tmp5);
2022-11-23T01:32:37.7192257Z                     auto tmp7 = static_cast<float>(1);
2022-11-23T01:32:37.7192335Z                     auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:37.7192424Z                     auto tmp9 = tmp3 * tmp8;
2022-11-23T01:32:37.7192537Z                     auto tmp10 = static_cast<bfloat16>(tmp9);
2022-11-23T01:32:37.7192630Z                     in_out_ptr0[i0] = tmp10;
2022-11-23T01:32:37.7192696Z                 }
2022-11-23T01:32:37.7192759Z             }
2022-11-23T01:32:37.7192821Z         }
2022-11-23T01:32:37.7192871Z     }
2022-11-23T01:32:37.7192931Z }
2022-11-23T01:32:37.7193030Z ''')
2022-11-23T01:32:37.7193037Z 
2022-11-23T01:32:37.7193041Z 
2022-11-23T01:32:37.7193132Z async_compile.wait(globals())
2022-11-23T01:32:37.7193206Z del async_compile
2022-11-23T01:32:37.7193214Z 
2022-11-23T01:32:37.7193283Z def call(args):
2022-11-23T01:32:37.7193358Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.7193416Z     args.clear()
2022-11-23T01:32:37.7193625Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7193772Z     aten.mm.out(as_strided(arg1_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.7193840Z     del arg0_1
2022-11-23T01:32:37.7193908Z     del arg1_1
2022-11-23T01:32:37.7194110Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.7194215Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7194274Z     return (buf1, )
2022-11-23T01:32:37.7194295Z 
2022-11-23T01:32:37.7194300Z 
2022-11-23T01:32:37.7194364Z if __name__ == "__main__":
2022-11-23T01:32:37.7194478Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7194602Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7194859Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7195067Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7195180Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.7195185Z 
2022-11-23T01:32:37.7195190Z 
2022-11-23T01:32:37.7195282Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7195352Z import torch
2022-11-23T01:32:37.7195408Z import random
2022-11-23T01:32:37.7195521Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7195645Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7195650Z 
2022-11-23T01:32:37.7195727Z aten = torch.ops.aten
2022-11-23T01:32:37.7195859Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7195949Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7195954Z 
2022-11-23T01:32:37.7195959Z 
2022-11-23T01:32:37.7196090Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7196294Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7196402Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.7196463Z {
2022-11-23T01:32:37.7196559Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7196619Z     {
2022-11-23T01:32:37.7196695Z         #pragma omp for 
2022-11-23T01:32:37.7196778Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.7196841Z         {
2022-11-23T01:32:37.7196893Z             {
2022-11-23T01:32:37.7196957Z                 {
2022-11-23T01:32:37.7197075Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.7197308Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.7197417Z                     auto tmp2 = static_cast<float>(0.5);
2022-11-23T01:32:37.7197507Z                     auto tmp3 = tmp1 * tmp2;
2022-11-23T01:32:37.7197620Z                     auto tmp4 = static_cast<float>(0.7071067811865476);
2022-11-23T01:32:37.7197700Z                     auto tmp5 = tmp1 * tmp4;
2022-11-23T01:32:37.7197798Z                     auto tmp6 = std::erf(tmp5);
2022-11-23T01:32:37.7197903Z                     auto tmp7 = static_cast<float>(1);
2022-11-23T01:32:37.7197991Z                     auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:37.7198079Z                     auto tmp9 = tmp3 * tmp8;
2022-11-23T01:32:37.7198189Z                     auto tmp10 = static_cast<bfloat16>(tmp9);
2022-11-23T01:32:37.7198277Z                     in_out_ptr0[i0] = tmp10;
2022-11-23T01:32:37.7198331Z                 }
2022-11-23T01:32:37.7198394Z             }
2022-11-23T01:32:37.7198455Z         }
2022-11-23T01:32:37.7198515Z     }
2022-11-23T01:32:37.7198576Z }
2022-11-23T01:32:37.7198656Z ''')
2022-11-23T01:32:37.7198661Z 
2022-11-23T01:32:37.7198664Z 
2022-11-23T01:32:37.7198753Z async_compile.wait(globals())
2022-11-23T01:32:37.7198812Z del async_compile
2022-11-23T01:32:37.7198817Z 
2022-11-23T01:32:37.7198885Z def call(args):
2022-11-23T01:32:37.7198968Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.7199038Z     args.clear()
2022-11-23T01:32:37.7199239Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7199391Z     aten.addmm.out(arg1_1, arg2_1, as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.7199461Z     del arg0_1
2022-11-23T01:32:37.7199514Z     del arg1_1
2022-11-23T01:32:37.7199578Z     del arg2_1
2022-11-23T01:32:37.7199661Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.7199823Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7199894Z     return (buf1, )
2022-11-23T01:32:37.7199900Z 
2022-11-23T01:32:37.7199904Z 
2022-11-23T01:32:37.7199978Z if __name__ == "__main__":
2022-11-23T01:32:37.7200090Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7200211Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7200443Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7200641Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7200837Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7200957Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.7201336Z [2022-11-23 01:23:28,473] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ur/curitqlehbh3zqlhuttqfmfc5cblvzvfcr2wiskbct6bnbbf4x42.py
2022-11-23T01:32:37.7201604Z [2022-11-23 01:23:28,474] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 273
2022-11-23T01:32:37.7201838Z [2022-11-23 01:23:28,483] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7202104Z [2022-11-23 01:23:28,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7202310Z [2022-11-23 01:23:28,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7202555Z [2022-11-23 01:23:28,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.7202830Z [2022-11-23 01:23:28,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.7203145Z [2022-11-23 01:23:28,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7203395Z [2022-11-23 01:23:28,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7203628Z [2022-11-23 01:23:28,494] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7203883Z [2022-11-23 01:23:28,496] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7204131Z [2022-11-23 01:23:28,505] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7204318Z [2022-11-23 01:23:28,505] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7204441Z  __compiled_fn_281 <eval_with_key>.1747 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7204530Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7204629Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.7204730Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.7204827Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.7204835Z 
2022-11-23T01:32:37.7205112Z [2022-11-23 01:23:28,506] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7205205Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7205297Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7205377Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7205466Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7205543Z               8 RETURN_VALUE
2022-11-23T01:32:37.7205548Z 
2022-11-23T01:32:37.7205609Z  
2022-11-23T01:32:37.7205883Z [2022-11-23 01:23:28,506] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7205989Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_281)
2022-11-23T01:32:37.7206078Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7206167Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7206262Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7206350Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7206439Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7206513Z              12 RETURN_VALUE
2022-11-23T01:32:37.7206518Z 
2022-11-23T01:32:37.7206578Z  
2022-11-23T01:32:37.7206759Z [2022-11-23 01:23:28,507] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7206826Z  - 
2022-11-23T01:32:37.7206959Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7207025Z             {
2022-11-23T01:32:37.7207166Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7207350Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7207467Z                 'obj_weakref': None
2022-11-23T01:32:37.7207690Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7207753Z             }
2022-11-23T01:32:37.7207804Z             
2022-11-23T01:32:37.7207873Z  - 
2022-11-23T01:32:37.7207996Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7208058Z             {
2022-11-23T01:32:37.7208200Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7208306Z                 'code': None,
2022-11-23T01:32:37.7208513Z                 'obj_weakref': <weakref at 0x7f70f2956dd0; to 'Tensor' at 0x7f7106707590>
2022-11-23T01:32:37.7208752Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7208814Z             }
2022-11-23T01:32:37.7208876Z             
2022-11-23T01:32:37.7208943Z  - 
2022-11-23T01:32:37.7209063Z             local 'model' NN_MODULE
2022-11-23T01:32:37.7209125Z             {
2022-11-23T01:32:37.7209256Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7209411Z                 'code': ['___check_obj_id(model, 140126545122448)'],
2022-11-23T01:32:37.7209624Z                 'obj_weakref': <weakref at 0x7f71067932f0; to 'Sequential' at 0x7f71c0f21490>
2022-11-23T01:32:37.7209858Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.7209921Z             }
2022-11-23T01:32:37.7209984Z             
2022-11-23T01:32:37.7210051Z  - 
2022-11-23T01:32:37.7210171Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7210221Z             {
2022-11-23T01:32:37.7210356Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7210574Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7210690Z                 'obj_weakref': None
2022-11-23T01:32:37.7210908Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7210970Z             }
2022-11-23T01:32:37.7211033Z             
2022-11-23T01:32:37.7211089Z  - 
2022-11-23T01:32:37.7211234Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.7211295Z             {
2022-11-23T01:32:37.7211416Z                 'guard_types': None,
2022-11-23T01:32:37.7211521Z                 'code': None,
2022-11-23T01:32:37.7211637Z                 'obj_weakref': None
2022-11-23T01:32:37.7211758Z                 'guarded_class': None
2022-11-23T01:32:37.7211807Z             }
2022-11-23T01:32:37.7211868Z             
2022-11-23T01:32:37.7211936Z  - 
2022-11-23T01:32:37.7212079Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.7212140Z             {
2022-11-23T01:32:37.7212260Z                 'guard_types': None,
2022-11-23T01:32:37.7212366Z                 'code': None,
2022-11-23T01:32:37.7212469Z                 'obj_weakref': None
2022-11-23T01:32:37.7212592Z                 'guarded_class': None
2022-11-23T01:32:37.7212653Z             }
2022-11-23T01:32:37.7212715Z             
2022-11-23T01:32:37.7212973Z [2022-11-23 01:23:28,529] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 274
2022-11-23T01:32:37.7213343Z [2022-11-23 01:23:28,546] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pd/cpde2r4bemv4oa67envrpvubdc5c3igmb3wbymyx4qsn52sd25bi.py
2022-11-23T01:32:37.7213645Z [2022-11-23 01:23:28,547] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 274
2022-11-23T01:32:37.7213868Z [2022-11-23 01:23:28,552] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7214164Z [2022-11-23 01:23:28,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7214384Z [2022-11-23 01:23:28,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7214629Z [2022-11-23 01:23:28,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.7214908Z [2022-11-23 01:23:28,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.7215222Z [2022-11-23 01:23:28,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7215467Z [2022-11-23 01:23:28,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7215701Z [2022-11-23 01:23:28,580] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7215954Z [2022-11-23 01:23:28,582] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7216200Z [2022-11-23 01:23:28,603] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7216382Z [2022-11-23 01:23:28,603] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7216516Z  __compiled_fn_282 <eval_with_key>.1753 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7216605Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7216707Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.7216810Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.7216908Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.7216914Z 
2022-11-23T01:32:37.7217189Z [2022-11-23 01:23:28,604] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7217282Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7217360Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7217454Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7217545Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7217620Z               8 RETURN_VALUE
2022-11-23T01:32:37.7217626Z 
2022-11-23T01:32:37.7217685Z  
2022-11-23T01:32:37.7217957Z [2022-11-23 01:23:28,604] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7218064Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_282)
2022-11-23T01:32:37.7218143Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7218235Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7218310Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7218396Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7218486Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7218560Z              12 RETURN_VALUE
2022-11-23T01:32:37.7218565Z 
2022-11-23T01:32:37.7218624Z  
2022-11-23T01:32:37.7218807Z [2022-11-23 01:23:28,605] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7218863Z  - 
2022-11-23T01:32:37.7218984Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7219046Z             {
2022-11-23T01:32:37.7219188Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7219373Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7219490Z                 'obj_weakref': None
2022-11-23T01:32:37.7219711Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7219844Z             }
2022-11-23T01:32:37.7219906Z             
2022-11-23T01:32:37.7219973Z  - 
2022-11-23T01:32:37.7220096Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7220158Z             {
2022-11-23T01:32:37.7220299Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7220392Z                 'code': None,
2022-11-23T01:32:37.7220637Z                 'obj_weakref': <weakref at 0x7f7129edf950; to 'Tensor' at 0x7f71069add10>
2022-11-23T01:32:37.7220886Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7220952Z             }
2022-11-23T01:32:37.7221013Z             
2022-11-23T01:32:37.7221080Z  - 
2022-11-23T01:32:37.7221199Z             local 'model' NN_MODULE
2022-11-23T01:32:37.7221249Z             {
2022-11-23T01:32:37.7221380Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7221553Z                 'code': ['___check_obj_id(model, 140123422283344)'],
2022-11-23T01:32:37.7221765Z                 'obj_weakref': <weakref at 0x7f7106949a10; to 'Sequential' at 0x7f7106cf5650>
2022-11-23T01:32:37.7221997Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.7222059Z             }
2022-11-23T01:32:37.7222122Z             
2022-11-23T01:32:37.7222192Z  - 
2022-11-23T01:32:37.7222300Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7222363Z             {
2022-11-23T01:32:37.7222497Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7222712Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7222829Z                 'obj_weakref': None
2022-11-23T01:32:37.7223047Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7223110Z             }
2022-11-23T01:32:37.7223159Z             
2022-11-23T01:32:37.7223230Z  - 
2022-11-23T01:32:37.7223375Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.7223436Z             {
2022-11-23T01:32:37.7223553Z                 'guard_types': None,
2022-11-23T01:32:37.7223658Z                 'code': None,
2022-11-23T01:32:37.7223761Z                 'obj_weakref': None
2022-11-23T01:32:37.7223880Z                 'guarded_class': None
2022-11-23T01:32:37.7223942Z             }
2022-11-23T01:32:37.7224004Z             
2022-11-23T01:32:37.7224073Z  - 
2022-11-23T01:32:37.7224214Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.7224275Z             {
2022-11-23T01:32:37.7224380Z                 'guard_types': None,
2022-11-23T01:32:37.7224571Z                 'code': None,
2022-11-23T01:32:37.7224695Z                 'obj_weakref': None
2022-11-23T01:32:37.7224813Z                 'guarded_class': None
2022-11-23T01:32:37.7224877Z             }
2022-11-23T01:32:37.7224938Z             
2022-11-23T01:32:37.7225201Z [2022-11-23 01:23:28,654] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 275
2022-11-23T01:32:37.7225558Z [2022-11-23 01:23:31,221] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/el/cel2codrgbnky5yasezp5v2l7z6et7xtzxxdx27qyd3nj7txdbdz.py
2022-11-23T01:32:37.7225823Z [2022-11-23 01:23:31,222] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 275
2022-11-23T01:32:37.7226060Z [2022-11-23 01:23:31,231] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7226328Z [2022-11-23 01:23:31,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7226544Z [2022-11-23 01:23:31,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7226786Z [2022-11-23 01:23:31,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.7227061Z [2022-11-23 01:23:31,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.7227427Z [2022-11-23 01:23:31,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7227671Z [2022-11-23 01:23:31,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7227936Z [2022-11-23 01:23:31,247] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7228177Z [2022-11-23 01:23:31,248] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7228425Z [2022-11-23 01:23:31,259] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7228613Z [2022-11-23 01:23:31,259] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7228748Z  __compiled_fn_283 <eval_with_key>.1759 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7228840Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7228940Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.7229040Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.7229138Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.7229145Z 
2022-11-23T01:32:37.7229408Z [2022-11-23 01:23:31,260] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7229502Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7229591Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7229682Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7229771Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7229846Z               8 RETURN_VALUE
2022-11-23T01:32:37.7229852Z 
2022-11-23T01:32:37.7229912Z  
2022-11-23T01:32:37.7230184Z [2022-11-23 01:23:31,260] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7230282Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_283)
2022-11-23T01:32:37.7230371Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7230459Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7230535Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7230623Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7230711Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7230789Z              12 RETURN_VALUE
2022-11-23T01:32:37.7230794Z 
2022-11-23T01:32:37.7230841Z  
2022-11-23T01:32:37.7231021Z [2022-11-23 01:23:31,261] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7231088Z  - 
2022-11-23T01:32:37.7231209Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7231271Z             {
2022-11-23T01:32:37.7231412Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7231596Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7231705Z                 'obj_weakref': None
2022-11-23T01:32:37.7231927Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7231993Z             }
2022-11-23T01:32:37.7232056Z             
2022-11-23T01:32:37.7232124Z  - 
2022-11-23T01:32:37.7232245Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7232307Z             {
2022-11-23T01:32:37.7232436Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7232540Z                 'code': None,
2022-11-23T01:32:37.7232748Z                 'obj_weakref': <weakref at 0x7f710627ca10; to 'Tensor' at 0x7f7129ea6890>
2022-11-23T01:32:37.7232994Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7233057Z             }
2022-11-23T01:32:37.7233121Z             
2022-11-23T01:32:37.7233189Z  - 
2022-11-23T01:32:37.7233296Z             local 'model' NN_MODULE
2022-11-23T01:32:37.7233398Z             {
2022-11-23T01:32:37.7233534Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7233703Z                 'code': ['___check_obj_id(model, 140126545122448)'],
2022-11-23T01:32:37.7233920Z                 'obj_weakref': <weakref at 0x7f70f2d72ad0; to 'Sequential' at 0x7f71c0f21490>
2022-11-23T01:32:37.7234152Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.7234244Z             }
2022-11-23T01:32:37.7234296Z             
2022-11-23T01:32:37.7234363Z  - 
2022-11-23T01:32:37.7234483Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7234547Z             {
2022-11-23T01:32:37.7234683Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7234900Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7235017Z                 'obj_weakref': None
2022-11-23T01:32:37.7235221Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7235285Z             }
2022-11-23T01:32:37.7235347Z             
2022-11-23T01:32:37.7235415Z  - 
2022-11-23T01:32:37.7235560Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.7235621Z             {
2022-11-23T01:32:37.7235740Z                 'guard_types': None,
2022-11-23T01:32:37.7235832Z                 'code': None,
2022-11-23T01:32:37.7235948Z                 'obj_weakref': None
2022-11-23T01:32:37.7236069Z                 'guarded_class': None
2022-11-23T01:32:37.7236131Z             }
2022-11-23T01:32:37.7236193Z             
2022-11-23T01:32:37.7236259Z  - 
2022-11-23T01:32:37.7236403Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.7236452Z             {
2022-11-23T01:32:37.7236569Z                 'guard_types': None,
2022-11-23T01:32:37.7236678Z                 'code': None,
2022-11-23T01:32:37.7236793Z                 'obj_weakref': None
2022-11-23T01:32:37.7236914Z                 'guarded_class': None
2022-11-23T01:32:37.7236976Z             }
2022-11-23T01:32:37.7237025Z             
2022-11-23T01:32:37.7237424Z [2022-11-23 01:23:31,300] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 276
2022-11-23T01:32:37.7237789Z [2022-11-23 01:23:31,337] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t3/ct3ehkce5wfhr5olq75y2ox45h4dmlmtiifpsab2pmyfxqynyok6.py
2022-11-23T01:32:37.7238055Z [2022-11-23 01:23:31,337] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 276
2022-11-23T01:32:37.7238291Z [2022-11-23 01:23:31,343] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7238557Z [2022-11-23 01:23:31,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7238774Z [2022-11-23 01:23:31,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7239018Z [2022-11-23 01:23:31,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.7239292Z [2022-11-23 01:23:31,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.7239604Z [2022-11-23 01:23:31,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7239838Z [2022-11-23 01:23:31,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7240069Z [2022-11-23 01:23:31,365] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7240320Z [2022-11-23 01:23:31,367] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7240566Z [2022-11-23 01:23:31,386] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7240826Z [2022-11-23 01:23:31,386] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7240963Z  __compiled_fn_284 <eval_with_key>.1765 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7241051Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7241150Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.7241239Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.7241337Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.7241344Z 
2022-11-23T01:32:37.7241673Z [2022-11-23 01:23:31,387] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7241768Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7241857Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7241950Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7242039Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7242115Z               8 RETURN_VALUE
2022-11-23T01:32:37.7242123Z 
2022-11-23T01:32:37.7242171Z  
2022-11-23T01:32:37.7242445Z [2022-11-23 01:23:31,387] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7242552Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_284)
2022-11-23T01:32:37.7242641Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7242731Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7242806Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7242894Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7242972Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7243045Z              12 RETURN_VALUE
2022-11-23T01:32:37.7243050Z 
2022-11-23T01:32:37.7243110Z  
2022-11-23T01:32:37.7243290Z [2022-11-23 01:23:31,388] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7243359Z  - 
2022-11-23T01:32:37.7243476Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7243539Z             {
2022-11-23T01:32:37.7243667Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7243852Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7243970Z                 'obj_weakref': None
2022-11-23T01:32:37.7244191Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7244254Z             }
2022-11-23T01:32:37.7244317Z             
2022-11-23T01:32:37.7244383Z  - 
2022-11-23T01:32:37.7244496Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7244560Z             {
2022-11-23T01:32:37.7244702Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7244806Z                 'code': None,
2022-11-23T01:32:37.7245011Z                 'obj_weakref': <weakref at 0x7f7106707110; to 'Tensor' at 0x7f710697c530>
2022-11-23T01:32:37.7245258Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7245323Z             }
2022-11-23T01:32:37.7245383Z             
2022-11-23T01:32:37.7245439Z  - 
2022-11-23T01:32:37.7245557Z             local 'model' NN_MODULE
2022-11-23T01:32:37.7245619Z             {
2022-11-23T01:32:37.7245749Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7245917Z                 'code': ['___check_obj_id(model, 140126544296848)'],
2022-11-23T01:32:37.7246130Z                 'obj_weakref': <weakref at 0x7f712a553650; to 'Sequential' at 0x7f71c0e57b90>
2022-11-23T01:32:37.7246363Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.7246415Z             }
2022-11-23T01:32:37.7246477Z             
2022-11-23T01:32:37.7246544Z  - 
2022-11-23T01:32:37.7246664Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7246726Z             {
2022-11-23T01:32:37.7246862Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7247079Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7247218Z                 'obj_weakref': None
2022-11-23T01:32:37.7247433Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7247495Z             }
2022-11-23T01:32:37.7247557Z             
2022-11-23T01:32:37.7247623Z  - 
2022-11-23T01:32:37.7247769Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.7247830Z             {
2022-11-23T01:32:37.7247961Z                 'guard_types': None,
2022-11-23T01:32:37.7248067Z                 'code': None,
2022-11-23T01:32:37.7248184Z                 'obj_weakref': None
2022-11-23T01:32:37.7248302Z                 'guarded_class': None
2022-11-23T01:32:37.7248365Z             }
2022-11-23T01:32:37.7248427Z             
2022-11-23T01:32:37.7248482Z  - 
2022-11-23T01:32:37.7248624Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.7248685Z             {
2022-11-23T01:32:37.7248804Z                 'guard_types': None,
2022-11-23T01:32:37.7248910Z                 'code': None,
2022-11-23T01:32:37.7249026Z                 'obj_weakref': None
2022-11-23T01:32:37.7249145Z                 'guarded_class': None
2022-11-23T01:32:37.7249195Z             }
2022-11-23T01:32:37.7249257Z             
2022-11-23T01:32:37.7249513Z [2022-11-23 01:23:31,432] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 277
2022-11-23T01:32:37.7249518Z 
2022-11-23T01:32:37.7249522Z 
2022-11-23T01:32:37.7249615Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7249683Z import torch
2022-11-23T01:32:37.7249751Z import random
2022-11-23T01:32:37.7249867Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7249986Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7249991Z 
2022-11-23T01:32:37.7250055Z aten = torch.ops.aten
2022-11-23T01:32:37.7250187Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7250280Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7250286Z 
2022-11-23T01:32:37.7250291Z 
2022-11-23T01:32:37.7250423Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7250628Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7250748Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.7250809Z {
2022-11-23T01:32:37.7250905Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7250953Z     {
2022-11-23T01:32:37.7251032Z         #pragma omp for 
2022-11-23T01:32:37.7251113Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.7251180Z         {
2022-11-23T01:32:37.7251242Z             {
2022-11-23T01:32:37.7251305Z                 {
2022-11-23T01:32:37.7251413Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.7251519Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.7251623Z                     auto tmp2 = static_cast<float>(0.5);
2022-11-23T01:32:37.7251715Z                     auto tmp3 = tmp1 * tmp2;
2022-11-23T01:32:37.7251829Z                     auto tmp4 = static_cast<float>(0.7071067811865476);
2022-11-23T01:32:37.7251918Z                     auto tmp5 = tmp1 * tmp4;
2022-11-23T01:32:37.7252024Z                     auto tmp6 = std::erf(tmp5);
2022-11-23T01:32:37.7252125Z                     auto tmp7 = static_cast<float>(1);
2022-11-23T01:32:37.7252202Z                     auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:37.7252290Z                     auto tmp9 = tmp3 * tmp8;
2022-11-23T01:32:37.7252400Z                     auto tmp10 = static_cast<bfloat16>(tmp9);
2022-11-23T01:32:37.7252492Z                     in_out_ptr0[i0] = tmp10;
2022-11-23T01:32:37.7252557Z                 }
2022-11-23T01:32:37.7252618Z             }
2022-11-23T01:32:37.7252679Z         }
2022-11-23T01:32:37.7252727Z     }
2022-11-23T01:32:37.7252786Z }
2022-11-23T01:32:37.7252862Z ''')
2022-11-23T01:32:37.7252867Z 
2022-11-23T01:32:37.7252871Z 
2022-11-23T01:32:37.7252959Z async_compile.wait(globals())
2022-11-23T01:32:37.7253067Z del async_compile
2022-11-23T01:32:37.7253072Z 
2022-11-23T01:32:37.7253142Z def call(args):
2022-11-23T01:32:37.7253217Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.7253275Z     args.clear()
2022-11-23T01:32:37.7253478Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7253599Z     aten.mm.out(arg1_1, as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.7253665Z     del arg0_1
2022-11-23T01:32:37.7253761Z     del arg1_1
2022-11-23T01:32:37.7253845Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.7253947Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7254005Z     return (buf1, )
2022-11-23T01:32:37.7254010Z 
2022-11-23T01:32:37.7254015Z 
2022-11-23T01:32:37.7254091Z if __name__ == "__main__":
2022-11-23T01:32:37.7254201Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7254322Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7254527Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7254725Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7254839Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.7254845Z 
2022-11-23T01:32:37.7254849Z 
2022-11-23T01:32:37.7254941Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7254997Z import torch
2022-11-23T01:32:37.7255067Z import random
2022-11-23T01:32:37.7255183Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7255300Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7255304Z 
2022-11-23T01:32:37.7255380Z aten = torch.ops.aten
2022-11-23T01:32:37.7255512Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7255603Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7255608Z 
2022-11-23T01:32:37.7255613Z 
2022-11-23T01:32:37.7255745Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7255940Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7256058Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.7256117Z {
2022-11-23T01:32:37.7256215Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7256279Z     {
2022-11-23T01:32:37.7256355Z         #pragma omp for 
2022-11-23T01:32:37.7256437Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.7256487Z         {
2022-11-23T01:32:37.7256551Z             {
2022-11-23T01:32:37.7256613Z                 {
2022-11-23T01:32:37.7256730Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.7256835Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.7256940Z                     auto tmp2 = static_cast<float>(0.5);
2022-11-23T01:32:37.7257030Z                     auto tmp3 = tmp1 * tmp2;
2022-11-23T01:32:37.7257107Z                     auto tmp4 = tmp1 * tmp1;
2022-11-23T01:32:37.7257195Z                     auto tmp5 = tmp4 * tmp1;
2022-11-23T01:32:37.7257301Z                     auto tmp6 = static_cast<float>(0.044715);
2022-11-23T01:32:37.7257387Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T01:32:37.7257475Z                     auto tmp8 = tmp1 + tmp7;
2022-11-23T01:32:37.7257587Z                     auto tmp9 = static_cast<float>(0.7978845608028654);
2022-11-23T01:32:37.7257678Z                     auto tmp10 = tmp8 * tmp9;
2022-11-23T01:32:37.7257828Z                     auto tmp11 = static_cast<float>(-2.0);
2022-11-23T01:32:37.7257919Z                     auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.7258017Z                     auto tmp13 = std::exp(tmp12);
2022-11-23T01:32:37.7258122Z                     auto tmp14 = static_cast<float>(1.0);
2022-11-23T01:32:37.7258213Z                     auto tmp15 = tmp13 + tmp14;
2022-11-23T01:32:37.7258299Z                     auto tmp16 = 1 / tmp15;
2022-11-23T01:32:37.7258402Z                     auto tmp17 = static_cast<float>(2.0);
2022-11-23T01:32:37.7258528Z                     auto tmp18 = tmp16 * tmp17;
2022-11-23T01:32:37.7258656Z                     auto tmp19 = tmp18 - tmp14;
2022-11-23T01:32:37.7258758Z                     auto tmp20 = static_cast<float>(1);
2022-11-23T01:32:37.7258850Z                     auto tmp21 = tmp19 + tmp20;
2022-11-23T01:32:37.7258941Z                     auto tmp22 = tmp3 * tmp21;
2022-11-23T01:32:37.7259052Z                     auto tmp23 = static_cast<bfloat16>(tmp22);
2022-11-23T01:32:37.7259170Z                     in_out_ptr0[i0] = tmp23;
2022-11-23T01:32:37.7259236Z                 }
2022-11-23T01:32:37.7259287Z             }
2022-11-23T01:32:37.7259350Z         }
2022-11-23T01:32:37.7259412Z     }
2022-11-23T01:32:37.7259471Z }
2022-11-23T01:32:37.7259549Z ''')
2022-11-23T01:32:37.7259554Z 
2022-11-23T01:32:37.7259558Z 
2022-11-23T01:32:37.7259646Z async_compile.wait(globals())
2022-11-23T01:32:37.7259716Z del async_compile
2022-11-23T01:32:37.7259720Z 
2022-11-23T01:32:37.7259779Z def call(args):
2022-11-23T01:32:37.7259859Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.7259931Z     args.clear()
2022-11-23T01:32:37.7260130Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7260301Z     aten.addmm.out(arg1_1, as_strided(arg2_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.7260369Z     del arg0_1
2022-11-23T01:32:37.7260433Z     del arg1_1
2022-11-23T01:32:37.7260487Z     del arg2_1
2022-11-23T01:32:37.7260601Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.7260704Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7260774Z     return (buf1, )
2022-11-23T01:32:37.7260780Z 
2022-11-23T01:32:37.7260784Z 
2022-11-23T01:32:37.7260859Z if __name__ == "__main__":
2022-11-23T01:32:37.7260970Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7261090Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7261294Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7261476Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7261679Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7261800Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.7261805Z 
2022-11-23T01:32:37.7261809Z 
2022-11-23T01:32:37.7261903Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7261973Z import torch
2022-11-23T01:32:37.7262041Z import random
2022-11-23T01:32:37.7262155Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7262274Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7262279Z 
2022-11-23T01:32:37.7262343Z aten = torch.ops.aten
2022-11-23T01:32:37.7262475Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7262564Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7262571Z 
2022-11-23T01:32:37.7262575Z 
2022-11-23T01:32:37.7262707Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7262910Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7263028Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.7263088Z {
2022-11-23T01:32:37.7263184Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7263232Z     {
2022-11-23T01:32:37.7263309Z         #pragma omp for 
2022-11-23T01:32:37.7263395Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.7263457Z         {
2022-11-23T01:32:37.7263519Z             {
2022-11-23T01:32:37.7263582Z                 {
2022-11-23T01:32:37.7263689Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.7263796Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.7263902Z                     auto tmp2 = static_cast<float>(0.5);
2022-11-23T01:32:37.7264028Z                     auto tmp3 = tmp1 * tmp2;
2022-11-23T01:32:37.7264121Z                     auto tmp4 = tmp1 * tmp1;
2022-11-23T01:32:37.7264208Z                     auto tmp5 = tmp4 * tmp1;
2022-11-23T01:32:37.7264316Z                     auto tmp6 = static_cast<float>(0.044715);
2022-11-23T01:32:37.7264403Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T01:32:37.7264558Z                     auto tmp8 = tmp1 + tmp7;
2022-11-23T01:32:37.7264710Z                     auto tmp9 = static_cast<float>(0.7978845608028654);
2022-11-23T01:32:37.7264803Z                     auto tmp10 = tmp8 * tmp9;
2022-11-23T01:32:37.7264965Z                     auto tmp11 = static_cast<float>(-2.0);
2022-11-23T01:32:37.7265056Z                     auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.7265155Z                     auto tmp13 = std::exp(tmp12);
2022-11-23T01:32:37.7265260Z                     auto tmp14 = static_cast<float>(1.0);
2022-11-23T01:32:37.7265338Z                     auto tmp15 = tmp13 + tmp14;
2022-11-23T01:32:37.7265426Z                     auto tmp16 = 1 / tmp15;
2022-11-23T01:32:37.7265528Z                     auto tmp17 = static_cast<float>(2.0);
2022-11-23T01:32:37.7265620Z                     auto tmp18 = tmp16 * tmp17;
2022-11-23T01:32:37.7265757Z                     auto tmp19 = tmp18 - tmp14;
2022-11-23T01:32:37.7265859Z                     auto tmp20 = static_cast<float>(1);
2022-11-23T01:32:37.7265948Z                     auto tmp21 = tmp19 + tmp20;
2022-11-23T01:32:37.7266029Z                     auto tmp22 = tmp3 * tmp21;
2022-11-23T01:32:37.7266138Z                     auto tmp23 = static_cast<bfloat16>(tmp22);
2022-11-23T01:32:37.7266227Z                     in_out_ptr0[i0] = tmp23;
2022-11-23T01:32:37.7266294Z                 }
2022-11-23T01:32:37.7266356Z             }
2022-11-23T01:32:37.7266417Z         }
2022-11-23T01:32:37.7266478Z     }
2022-11-23T01:32:37.7266525Z }
2022-11-23T01:32:37.7266601Z ''')
2022-11-23T01:32:37.7266606Z 
2022-11-23T01:32:37.7266610Z 
2022-11-23T01:32:37.7266701Z async_compile.wait(globals())
2022-11-23T01:32:37.7266773Z del async_compile
2022-11-23T01:32:37.7266778Z 
2022-11-23T01:32:37.7266848Z def call(args):
2022-11-23T01:32:37.7266922Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.7266993Z     args.clear()
2022-11-23T01:32:37.7267191Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7267321Z     aten.mm.out(as_strided(arg1_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.7267392Z     del arg0_1
2022-11-23T01:32:37.7267459Z     del arg1_1
2022-11-23T01:32:37.7267572Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.7267674Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7267744Z     return (buf1, )
2022-11-23T01:32:37.7267749Z 
2022-11-23T01:32:37.7267754Z 
2022-11-23T01:32:37.7267828Z if __name__ == "__main__":
2022-11-23T01:32:37.7267928Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7268050Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7268251Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7268456Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7268571Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.7268576Z 
2022-11-23T01:32:37.7268580Z 
2022-11-23T01:32:37.7268672Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7268742Z import torch
2022-11-23T01:32:37.7268812Z import random
2022-11-23T01:32:37.7268912Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7269031Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7269036Z 
2022-11-23T01:32:37.7269113Z aten = torch.ops.aten
2022-11-23T01:32:37.7269244Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7269334Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7269339Z 
2022-11-23T01:32:37.7269373Z 
2022-11-23T01:32:37.7269504Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7269704Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7269823Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.7269871Z {
2022-11-23T01:32:37.7269967Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7270028Z     {
2022-11-23T01:32:37.7270104Z         #pragma omp for 
2022-11-23T01:32:37.7270214Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.7270277Z         {
2022-11-23T01:32:37.7270340Z             {
2022-11-23T01:32:37.7270392Z                 {
2022-11-23T01:32:37.7270510Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.7270616Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.7270721Z                     auto tmp2 = static_cast<float>(0.5);
2022-11-23T01:32:37.7270810Z                     auto tmp3 = tmp1 * tmp2;
2022-11-23T01:32:37.7270903Z                     auto tmp4 = tmp1 * tmp1;
2022-11-23T01:32:37.7270990Z                     auto tmp5 = tmp4 * tmp1;
2022-11-23T01:32:37.7271086Z                     auto tmp6 = static_cast<float>(0.044715);
2022-11-23T01:32:37.7271172Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T01:32:37.7271260Z                     auto tmp8 = tmp1 + tmp7;
2022-11-23T01:32:37.7271371Z                     auto tmp9 = static_cast<float>(0.7978845608028654);
2022-11-23T01:32:37.7271466Z                     auto tmp10 = tmp8 * tmp9;
2022-11-23T01:32:37.7271625Z                     auto tmp11 = static_cast<float>(-2.0);
2022-11-23T01:32:37.7271717Z                     auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.7271802Z                     auto tmp13 = std::exp(tmp12);
2022-11-23T01:32:37.7271907Z                     auto tmp14 = static_cast<float>(1.0);
2022-11-23T01:32:37.7271998Z                     auto tmp15 = tmp13 + tmp14;
2022-11-23T01:32:37.7272085Z                     auto tmp16 = 1 / tmp15;
2022-11-23T01:32:37.7272191Z                     auto tmp17 = static_cast<float>(2.0);
2022-11-23T01:32:37.7272282Z                     auto tmp18 = tmp16 * tmp17;
2022-11-23T01:32:37.7272419Z                     auto tmp19 = tmp18 - tmp14;
2022-11-23T01:32:37.7272520Z                     auto tmp20 = static_cast<float>(1);
2022-11-23T01:32:37.7272598Z                     auto tmp21 = tmp19 + tmp20;
2022-11-23T01:32:37.7272689Z                     auto tmp22 = tmp3 * tmp21;
2022-11-23T01:32:37.7272803Z                     auto tmp23 = static_cast<bfloat16>(tmp22);
2022-11-23T01:32:37.7272893Z                     in_out_ptr0[i0] = tmp23;
2022-11-23T01:32:37.7272957Z                 }
2022-11-23T01:32:37.7273019Z             }
2022-11-23T01:32:37.7273082Z         }
2022-11-23T01:32:37.7273131Z     }
2022-11-23T01:32:37.7273190Z }
2022-11-23T01:32:37.7273267Z ''')
2022-11-23T01:32:37.7273272Z 
2022-11-23T01:32:37.7273276Z 
2022-11-23T01:32:37.7273365Z async_compile.wait(globals())
2022-11-23T01:32:37.7273438Z del async_compile
2022-11-23T01:32:37.7273443Z 
2022-11-23T01:32:37.7273511Z def call(args):
2022-11-23T01:32:37.7273591Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.7273649Z     args.clear()
2022-11-23T01:32:37.7273845Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7273997Z     aten.addmm.out(arg1_1, arg2_1, as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.7274067Z     del arg0_1
2022-11-23T01:32:37.7274134Z     del arg1_1
2022-11-23T01:32:37.7274199Z     del arg2_1
2022-11-23T01:32:37.7274282Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.7274371Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7274442Z     return (buf1, )
2022-11-23T01:32:37.7274447Z 
2022-11-23T01:32:37.7274451Z 
2022-11-23T01:32:37.7274525Z if __name__ == "__main__":
2022-11-23T01:32:37.7274637Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7274758Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7275003Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7275196Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7275391Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7275499Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.7275910Z [2022-11-23 01:23:34,001] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jm/cjmre4dd27febtkie6bmzwngktvj57chv6ponkdvdolewzpucz7j.py
2022-11-23T01:32:37.7276178Z [2022-11-23 01:23:34,001] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 277
2022-11-23T01:32:37.7276413Z [2022-11-23 01:23:34,013] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7276679Z [2022-11-23 01:23:34,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7276897Z [2022-11-23 01:23:34,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7277290Z [2022-11-23 01:23:34,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.7277569Z [2022-11-23 01:23:34,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.7277888Z [2022-11-23 01:23:34,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7278123Z [2022-11-23 01:23:34,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7278357Z [2022-11-23 01:23:34,030] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7278607Z [2022-11-23 01:23:34,032] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7278855Z [2022-11-23 01:23:34,044] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7279042Z [2022-11-23 01:23:34,044] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7279174Z  __compiled_fn_285 <eval_with_key>.1771 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7279262Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7279359Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.7279451Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.7279549Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.7279554Z 
2022-11-23T01:32:37.7279829Z [2022-11-23 01:23:34,045] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7279922Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7280011Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7280105Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7280195Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7280270Z               8 RETURN_VALUE
2022-11-23T01:32:37.7280275Z 
2022-11-23T01:32:37.7280322Z  
2022-11-23T01:32:37.7280594Z [2022-11-23 01:23:34,045] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7280702Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_285)
2022-11-23T01:32:37.7280793Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7280882Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7280958Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7281048Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7281137Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7281199Z              12 RETURN_VALUE
2022-11-23T01:32:37.7281204Z 
2022-11-23T01:32:37.7281265Z  
2022-11-23T01:32:37.7281444Z [2022-11-23 01:23:34,047] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7281585Z  - 
2022-11-23T01:32:37.7281702Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7281765Z             {
2022-11-23T01:32:37.7281903Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7282076Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7282194Z                 'obj_weakref': None
2022-11-23T01:32:37.7282468Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7282533Z             }
2022-11-23T01:32:37.7282596Z             
2022-11-23T01:32:37.7282664Z  - 
2022-11-23T01:32:37.7282787Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7282838Z             {
2022-11-23T01:32:37.7282979Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7283088Z                 'code': None,
2022-11-23T01:32:37.7283295Z                 'obj_weakref': <weakref at 0x7f710696bb90; to 'Tensor' at 0x7f71069c4410>
2022-11-23T01:32:37.7283546Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7283609Z             }
2022-11-23T01:32:37.7283671Z             
2022-11-23T01:32:37.7283727Z  - 
2022-11-23T01:32:37.7283844Z             local 'model' NN_MODULE
2022-11-23T01:32:37.7283908Z             {
2022-11-23T01:32:37.7284041Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7284209Z                 'code': ['___check_obj_id(model, 140126548638928)'],
2022-11-23T01:32:37.7284423Z                 'obj_weakref': <weakref at 0x7f7106793e30; to 'Sequential' at 0x7f71c127bcd0>
2022-11-23T01:32:37.7284653Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.7284704Z             }
2022-11-23T01:32:37.7284765Z             
2022-11-23T01:32:37.7284832Z  - 
2022-11-23T01:32:37.7284952Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7285017Z             {
2022-11-23T01:32:37.7285150Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7285367Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7285471Z                 'obj_weakref': None
2022-11-23T01:32:37.7285688Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7285750Z             }
2022-11-23T01:32:37.7285811Z             
2022-11-23T01:32:37.7285880Z  - 
2022-11-23T01:32:37.7286025Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.7286086Z             {
2022-11-23T01:32:37.7286191Z                 'guard_types': None,
2022-11-23T01:32:37.7286297Z                 'code': None,
2022-11-23T01:32:37.7286412Z                 'obj_weakref': None
2022-11-23T01:32:37.7286530Z                 'guarded_class': None
2022-11-23T01:32:37.7286592Z             }
2022-11-23T01:32:37.7286654Z             
2022-11-23T01:32:37.7286723Z  - 
2022-11-23T01:32:37.7286853Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.7286914Z             {
2022-11-23T01:32:37.7287032Z                 'guard_types': None,
2022-11-23T01:32:37.7287136Z                 'code': None,
2022-11-23T01:32:37.7287251Z                 'obj_weakref': None
2022-11-23T01:32:37.7287371Z                 'guarded_class': None
2022-11-23T01:32:37.7287420Z             }
2022-11-23T01:32:37.7287482Z             
2022-11-23T01:32:37.7287743Z [2022-11-23 01:23:34,098] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 278
2022-11-23T01:32:37.7288113Z [2022-11-23 01:23:34,145] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k2/ck2suudnhrsx6lafbw424xpdaxkefeomkfhzje2xgqr4qzibgsgb.py
2022-11-23T01:32:37.7288377Z [2022-11-23 01:23:34,145] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 278
2022-11-23T01:32:37.7288614Z [2022-11-23 01:23:34,153] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7288914Z [2022-11-23 01:23:34,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7289129Z [2022-11-23 01:23:34,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7289370Z [2022-11-23 01:23:34,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.7289660Z [2022-11-23 01:23:34,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.7289973Z [2022-11-23 01:23:34,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7290216Z [2022-11-23 01:23:34,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7290450Z [2022-11-23 01:23:34,180] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7290702Z [2022-11-23 01:23:34,181] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7290953Z [2022-11-23 01:23:34,202] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7291137Z [2022-11-23 01:23:34,202] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7291272Z  __compiled_fn_286 <eval_with_key>.1777 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7291360Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7291446Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.7291547Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.7291645Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.7291650Z 
2022-11-23T01:32:37.7291927Z [2022-11-23 01:23:34,203] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7292020Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7292111Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7292201Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7292289Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7292352Z               8 RETURN_VALUE
2022-11-23T01:32:37.7292357Z 
2022-11-23T01:32:37.7292417Z  
2022-11-23T01:32:37.7292694Z [2022-11-23 01:23:34,203] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7292801Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_286)
2022-11-23T01:32:37.7292890Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7292978Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7293053Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7293127Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7293215Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7293294Z              12 RETURN_VALUE
2022-11-23T01:32:37.7293299Z 
2022-11-23T01:32:37.7293358Z  
2022-11-23T01:32:37.7293538Z [2022-11-23 01:23:34,204] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7293606Z  - 
2022-11-23T01:32:37.7293722Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7293775Z             {
2022-11-23T01:32:37.7293914Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7294099Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7294218Z                 'obj_weakref': None
2022-11-23T01:32:37.7294443Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7294505Z             }
2022-11-23T01:32:37.7294566Z             
2022-11-23T01:32:37.7294621Z  - 
2022-11-23T01:32:37.7294744Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7294806Z             {
2022-11-23T01:32:37.7294946Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7295092Z                 'code': None,
2022-11-23T01:32:37.7295299Z                 'obj_weakref': <weakref at 0x7f710696be90; to 'Tensor' at 0x7f71c1358d70>
2022-11-23T01:32:37.7295550Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7295613Z             }
2022-11-23T01:32:37.7295664Z             
2022-11-23T01:32:37.7295730Z  - 
2022-11-23T01:32:37.7295849Z             local 'model' NN_MODULE
2022-11-23T01:32:37.7295939Z             {
2022-11-23T01:32:37.7296074Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7296242Z                 'code': ['___check_obj_id(model, 140123523728784)'],
2022-11-23T01:32:37.7296445Z                 'obj_weakref': <weakref at 0x7f7106a37d70; to 'Sequential' at 0x7f710cdb4590>
2022-11-23T01:32:37.7296677Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.7296740Z             }
2022-11-23T01:32:37.7296808Z             
2022-11-23T01:32:37.7296879Z  - 
2022-11-23T01:32:37.7297000Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7297062Z             {
2022-11-23T01:32:37.7297184Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7297399Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7297515Z                 'obj_weakref': None
2022-11-23T01:32:37.7297733Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7297796Z             }
2022-11-23T01:32:37.7297858Z             
2022-11-23T01:32:37.7297924Z  - 
2022-11-23T01:32:37.7298057Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.7298118Z             {
2022-11-23T01:32:37.7298236Z                 'guard_types': None,
2022-11-23T01:32:37.7298341Z                 'code': None,
2022-11-23T01:32:37.7298456Z                 'obj_weakref': None
2022-11-23T01:32:37.7298579Z                 'guarded_class': None
2022-11-23T01:32:37.7298640Z             }
2022-11-23T01:32:37.7298689Z             
2022-11-23T01:32:37.7298756Z  - 
2022-11-23T01:32:37.7298900Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.7298961Z             {
2022-11-23T01:32:37.7299078Z                 'guard_types': None,
2022-11-23T01:32:37.7299182Z                 'code': None,
2022-11-23T01:32:37.7299297Z                 'obj_weakref': None
2022-11-23T01:32:37.7299406Z                 'guarded_class': None
2022-11-23T01:32:37.7299467Z             }
2022-11-23T01:32:37.7299529Z             
2022-11-23T01:32:37.7299787Z [2022-11-23 01:23:34,237] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 279
2022-11-23T01:32:37.7300155Z [2022-11-23 01:23:36,794] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/42/c42cfouwdzgzxgekjds5jt74etrloaey6u3sawrzuinf45esu3yv.py
2022-11-23T01:32:37.7300418Z [2022-11-23 01:23:36,795] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 279
2022-11-23T01:32:37.7300656Z [2022-11-23 01:23:36,804] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7300922Z [2022-11-23 01:23:36,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7301124Z [2022-11-23 01:23:36,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7301366Z [2022-11-23 01:23:36,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.7301639Z [2022-11-23 01:23:36,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.7301952Z [2022-11-23 01:23:36,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7302196Z [2022-11-23 01:23:36,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7302462Z [2022-11-23 01:23:36,819] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7302712Z [2022-11-23 01:23:36,820] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7302961Z [2022-11-23 01:23:36,830] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7303179Z [2022-11-23 01:23:36,831] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7303302Z  __compiled_fn_287 <eval_with_key>.1783 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7303394Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7303494Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.7303595Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.7303692Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.7303697Z 
2022-11-23T01:32:37.7303973Z [2022-11-23 01:23:36,831] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7304067Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7304158Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7304236Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7304326Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7304404Z               8 RETURN_VALUE
2022-11-23T01:32:37.7304411Z 
2022-11-23T01:32:37.7304573Z  
2022-11-23T01:32:37.7304857Z [2022-11-23 01:23:36,831] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7304966Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_287)
2022-11-23T01:32:37.7305054Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7305142Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7305205Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7305298Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7305388Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7305466Z              12 RETURN_VALUE
2022-11-23T01:32:37.7305470Z 
2022-11-23T01:32:37.7305530Z  
2022-11-23T01:32:37.7305709Z [2022-11-23 01:23:36,833] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7305777Z  - 
2022-11-23T01:32:37.7305883Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7305947Z             {
2022-11-23T01:32:37.7306087Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7306271Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7306392Z                 'obj_weakref': None
2022-11-23T01:32:37.7306613Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7306678Z             }
2022-11-23T01:32:37.7306729Z             
2022-11-23T01:32:37.7306797Z  - 
2022-11-23T01:32:37.7306919Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7306984Z             {
2022-11-23T01:32:37.7307123Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7307232Z                 'code': None,
2022-11-23T01:32:37.7307439Z                 'obj_weakref': <weakref at 0x7f7106949c50; to 'Tensor' at 0x7f71069c4ad0>
2022-11-23T01:32:37.7307674Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7307736Z             }
2022-11-23T01:32:37.7307801Z             
2022-11-23T01:32:37.7307870Z  - 
2022-11-23T01:32:37.7307988Z             local 'model' NN_MODULE
2022-11-23T01:32:37.7308051Z             {
2022-11-23T01:32:37.7308183Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7308339Z                 'code': ['___check_obj_id(model, 140126603728656)'],
2022-11-23T01:32:37.7308553Z                 'obj_weakref': <weakref at 0x7f7106c6c290; to 'Sequential' at 0x7f71c4705710>
2022-11-23T01:32:37.7308783Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.7308888Z             }
2022-11-23T01:32:37.7308950Z             
2022-11-23T01:32:37.7309017Z  - 
2022-11-23T01:32:37.7309138Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7309188Z             {
2022-11-23T01:32:37.7309322Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7309567Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7309687Z                 'obj_weakref': None
2022-11-23T01:32:37.7309904Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7309966Z             }
2022-11-23T01:32:37.7310028Z             
2022-11-23T01:32:37.7310083Z  - 
2022-11-23T01:32:37.7310226Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.7310289Z             {
2022-11-23T01:32:37.7310408Z                 'guard_types': None,
2022-11-23T01:32:37.7310516Z                 'code': None,
2022-11-23T01:32:37.7310631Z                 'obj_weakref': None
2022-11-23T01:32:37.7310752Z                 'guarded_class': None
2022-11-23T01:32:37.7310802Z             }
2022-11-23T01:32:37.7310865Z             
2022-11-23T01:32:37.7310932Z  - 
2022-11-23T01:32:37.7311075Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.7311137Z             {
2022-11-23T01:32:37.7311254Z                 'guard_types': None,
2022-11-23T01:32:37.7311348Z                 'code': None,
2022-11-23T01:32:37.7311465Z                 'obj_weakref': None
2022-11-23T01:32:37.7311583Z                 'guarded_class': None
2022-11-23T01:32:37.7311645Z             }
2022-11-23T01:32:37.7311706Z             
2022-11-23T01:32:37.7311965Z [2022-11-23 01:23:36,856] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 280
2022-11-23T01:32:37.7312335Z [2022-11-23 01:23:36,872] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dj/cdjqo5fd3lj4xlq2bgpdwxaqejxsiice65kn5ridgne4wnve72kx.py
2022-11-23T01:32:37.7312602Z [2022-11-23 01:23:36,872] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 280
2022-11-23T01:32:37.7312825Z [2022-11-23 01:23:36,878] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7313089Z [2022-11-23 01:23:36,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7313306Z [2022-11-23 01:23:36,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7313543Z [2022-11-23 01:23:36,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.7313818Z [2022-11-23 01:23:36,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.7314130Z [2022-11-23 01:23:36,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7314376Z [2022-11-23 01:23:36,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7314608Z [2022-11-23 01:23:36,903] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7314856Z [2022-11-23 01:23:36,904] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7315107Z [2022-11-23 01:23:36,922] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7315280Z [2022-11-23 01:23:36,922] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7315413Z  __compiled_fn_288 <eval_with_key>.1789 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7315500Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7315599Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.7315699Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.7315836Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.7315841Z 
2022-11-23T01:32:37.7316119Z [2022-11-23 01:23:36,923] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7316211Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7316289Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7316379Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7316553Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7316630Z               8 RETURN_VALUE
2022-11-23T01:32:37.7316636Z 
2022-11-23T01:32:37.7316695Z  
2022-11-23T01:32:37.7316971Z [2022-11-23 01:23:36,923] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7317077Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_288)
2022-11-23T01:32:37.7317323Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7317415Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7317495Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7317582Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7317672Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7317747Z              12 RETURN_VALUE
2022-11-23T01:32:37.7317752Z 
2022-11-23T01:32:37.7317811Z  
2022-11-23T01:32:37.7317983Z [2022-11-23 01:23:36,924] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7318053Z  - 
2022-11-23T01:32:37.7318169Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7318233Z             {
2022-11-23T01:32:37.7318372Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7318555Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7318673Z                 'obj_weakref': None
2022-11-23T01:32:37.7318883Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7318949Z             }
2022-11-23T01:32:37.7319012Z             
2022-11-23T01:32:37.7319080Z  - 
2022-11-23T01:32:37.7319203Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7319267Z             {
2022-11-23T01:32:37.7319408Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7319501Z                 'code': None,
2022-11-23T01:32:37.7319703Z                 'obj_weakref': <weakref at 0x7f7106c65830; to 'Tensor' at 0x7f7106694650>
2022-11-23T01:32:37.7319951Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7320013Z             }
2022-11-23T01:32:37.7320075Z             
2022-11-23T01:32:37.7320141Z  - 
2022-11-23T01:32:37.7320258Z             local 'model' NN_MODULE
2022-11-23T01:32:37.7320307Z             {
2022-11-23T01:32:37.7320440Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7320609Z                 'code': ['___check_obj_id(model, 140123418699536)'],
2022-11-23T01:32:37.7320828Z                 'obj_weakref': <weakref at 0x7f7106e10ad0; to 'Sequential' at 0x7f710698a710>
2022-11-23T01:32:37.7321060Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.7321122Z             }
2022-11-23T01:32:37.7321184Z             
2022-11-23T01:32:37.7321251Z  - 
2022-11-23T01:32:37.7321361Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7321423Z             {
2022-11-23T01:32:37.7321561Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7321780Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7321896Z                 'obj_weakref': None
2022-11-23T01:32:37.7322114Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7322176Z             }
2022-11-23T01:32:37.7322225Z             
2022-11-23T01:32:37.7322293Z  - 
2022-11-23T01:32:37.7322437Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.7322555Z             {
2022-11-23T01:32:37.7322675Z                 'guard_types': None,
2022-11-23T01:32:37.7322780Z                 'code': None,
2022-11-23T01:32:37.7322883Z                 'obj_weakref': None
2022-11-23T01:32:37.7323004Z                 'guarded_class': None
2022-11-23T01:32:37.7323065Z             }
2022-11-23T01:32:37.7323127Z             
2022-11-23T01:32:37.7323194Z  - 
2022-11-23T01:32:37.7323380Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.7323443Z             {
2022-11-23T01:32:37.7323549Z                 'guard_types': None,
2022-11-23T01:32:37.7323654Z                 'code': None,
2022-11-23T01:32:37.7323770Z                 'obj_weakref': None
2022-11-23T01:32:37.7323889Z                 'guarded_class': None
2022-11-23T01:32:37.7323951Z             }
2022-11-23T01:32:37.7324015Z             
2022-11-23T01:32:37.7324275Z [2022-11-23 01:23:36,954] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 281
2022-11-23T01:32:37.7324282Z 
2022-11-23T01:32:37.7324287Z 
2022-11-23T01:32:37.7324380Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7324435Z import torch
2022-11-23T01:32:37.7324502Z import random
2022-11-23T01:32:37.7324618Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7324738Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7324743Z 
2022-11-23T01:32:37.7324820Z aten = torch.ops.aten
2022-11-23T01:32:37.7324953Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7325043Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7325049Z 
2022-11-23T01:32:37.7325053Z 
2022-11-23T01:32:37.7325172Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7325374Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7325493Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.7325553Z {
2022-11-23T01:32:37.7325652Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7325713Z     {
2022-11-23T01:32:37.7325788Z         #pragma omp for 
2022-11-23T01:32:37.7325856Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.7325918Z         {
2022-11-23T01:32:37.7325982Z             {
2022-11-23T01:32:37.7326046Z                 {
2022-11-23T01:32:37.7326166Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.7326274Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.7326380Z                     auto tmp2 = static_cast<float>(0.5);
2022-11-23T01:32:37.7326458Z                     auto tmp3 = tmp1 * tmp2;
2022-11-23T01:32:37.7326548Z                     auto tmp4 = tmp1 * tmp1;
2022-11-23T01:32:37.7326635Z                     auto tmp5 = tmp4 * tmp1;
2022-11-23T01:32:37.7326742Z                     auto tmp6 = static_cast<float>(0.044715);
2022-11-23T01:32:37.7326829Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T01:32:37.7326918Z                     auto tmp8 = tmp1 + tmp7;
2022-11-23T01:32:37.7327031Z                     auto tmp9 = static_cast<float>(0.7978845608028654);
2022-11-23T01:32:37.7327121Z                     auto tmp10 = tmp8 * tmp9;
2022-11-23T01:32:37.7327267Z                     auto tmp11 = static_cast<float>(-2.0);
2022-11-23T01:32:37.7327359Z                     auto tmp12 = tmp10 * tmp11;
2022-11-23T01:32:37.7327465Z                     auto tmp13 = std::exp(tmp12);
2022-11-23T01:32:37.7327572Z                     auto tmp14 = static_cast<float>(1.0);
2022-11-23T01:32:37.7327663Z                     auto tmp15 = tmp13 + tmp14;
2022-11-23T01:32:37.7327749Z                     auto tmp16 = 1 / tmp15;
2022-11-23T01:32:37.7327851Z                     auto tmp17 = static_cast<float>(2.0);
2022-11-23T01:32:37.7327932Z                     auto tmp18 = tmp16 * tmp17;
2022-11-23T01:32:37.7328067Z                     auto tmp19 = tmp18 - tmp14;
2022-11-23T01:32:37.7328170Z                     auto tmp20 = static_cast<float>(1);
2022-11-23T01:32:37.7328304Z                     auto tmp21 = tmp19 + tmp20;
2022-11-23T01:32:37.7328395Z                     auto tmp22 = tmp3 * tmp21;
2022-11-23T01:32:37.7328504Z                     auto tmp23 = static_cast<bfloat16>(tmp22);
2022-11-23T01:32:37.7328594Z                     in_out_ptr0[i0] = tmp23;
2022-11-23T01:32:37.7328647Z                 }
2022-11-23T01:32:37.7328709Z             }
2022-11-23T01:32:37.7328776Z         }
2022-11-23T01:32:37.7328837Z     }
2022-11-23T01:32:37.7328939Z }
2022-11-23T01:32:37.7329019Z ''')
2022-11-23T01:32:37.7329025Z 
2022-11-23T01:32:37.7329028Z 
2022-11-23T01:32:37.7329117Z async_compile.wait(globals())
2022-11-23T01:32:37.7329176Z del async_compile
2022-11-23T01:32:37.7329181Z 
2022-11-23T01:32:37.7329249Z def call(args):
2022-11-23T01:32:37.7329324Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.7329395Z     args.clear()
2022-11-23T01:32:37.7329592Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7329715Z     aten.mm.out(arg1_1, as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.7329784Z     del arg0_1
2022-11-23T01:32:37.7329838Z     del arg1_1
2022-11-23T01:32:37.7329921Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.7330022Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7330092Z     return (buf1, )
2022-11-23T01:32:37.7330097Z 
2022-11-23T01:32:37.7330101Z 
2022-11-23T01:32:37.7330176Z if __name__ == "__main__":
2022-11-23T01:32:37.7330290Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7330411Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7330617Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7330802Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7330917Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.7330922Z 
2022-11-23T01:32:37.7330926Z 
2022-11-23T01:32:37.7331019Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7331088Z import torch
2022-11-23T01:32:37.7331158Z import random
2022-11-23T01:32:37.7331271Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7331390Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7331394Z 
2022-11-23T01:32:37.7331471Z aten = torch.ops.aten
2022-11-23T01:32:37.7331590Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7331681Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7331686Z 
2022-11-23T01:32:37.7331690Z 
2022-11-23T01:32:37.7331824Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7332026Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7332147Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.7332206Z {
2022-11-23T01:32:37.7332301Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7332361Z     {
2022-11-23T01:32:37.7332427Z         #pragma omp for 
2022-11-23T01:32:37.7332509Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.7332571Z         {
2022-11-23T01:32:37.7332634Z             {
2022-11-23T01:32:37.7332698Z                 {
2022-11-23T01:32:37.7332816Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.7332909Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.7333014Z                     auto tmp2 = static_cast<float>(0.0);
2022-11-23T01:32:37.7333119Z                     auto tmp3 = std::max(tmp1, tmp2);
2022-11-23T01:32:37.7333221Z                     auto tmp4 = static_cast<float>(6.0);
2022-11-23T01:32:37.7333324Z                     auto tmp5 = std::min(tmp3, tmp4);
2022-11-23T01:32:37.7333433Z                     auto tmp6 = static_cast<bfloat16>(tmp5);
2022-11-23T01:32:37.7333522Z                     in_out_ptr0[i0] = tmp6;
2022-11-23T01:32:37.7333586Z                 }
2022-11-23T01:32:37.7333636Z             }
2022-11-23T01:32:37.7333734Z         }
2022-11-23T01:32:37.7333794Z     }
2022-11-23T01:32:37.7333854Z }
2022-11-23T01:32:37.7333930Z ''')
2022-11-23T01:32:37.7333936Z 
2022-11-23T01:32:37.7333939Z 
2022-11-23T01:32:37.7334030Z async_compile.wait(globals())
2022-11-23T01:32:37.7334100Z del async_compile
2022-11-23T01:32:37.7334105Z 
2022-11-23T01:32:37.7334161Z def call(args):
2022-11-23T01:32:37.7334241Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.7334312Z     args.clear()
2022-11-23T01:32:37.7334538Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7334710Z     aten.addmm.out(arg1_1, as_strided(arg2_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.7334779Z     del arg0_1
2022-11-23T01:32:37.7334844Z     del arg1_1
2022-11-23T01:32:37.7334896Z     del arg2_1
2022-11-23T01:32:37.7335012Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.7335116Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7335192Z     return (buf1, )
2022-11-23T01:32:37.7335197Z 
2022-11-23T01:32:37.7335201Z 
2022-11-23T01:32:37.7335276Z if __name__ == "__main__":
2022-11-23T01:32:37.7335387Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7335508Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7335709Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7335892Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7336094Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7336216Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.7336220Z 
2022-11-23T01:32:37.7336224Z 
2022-11-23T01:32:37.7336316Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7336385Z import torch
2022-11-23T01:32:37.7336454Z import random
2022-11-23T01:32:37.7336567Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7336687Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7336692Z 
2022-11-23T01:32:37.7336756Z aten = torch.ops.aten
2022-11-23T01:32:37.7336888Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7336977Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7336982Z 
2022-11-23T01:32:37.7336986Z 
2022-11-23T01:32:37.7337117Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7337321Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7337440Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.7337500Z {
2022-11-23T01:32:37.7337594Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7337643Z     {
2022-11-23T01:32:37.7337718Z         #pragma omp for 
2022-11-23T01:32:37.7337802Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.7337864Z         {
2022-11-23T01:32:37.7337926Z             {
2022-11-23T01:32:37.7337992Z                 {
2022-11-23T01:32:37.7338099Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.7338204Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.7338312Z                     auto tmp2 = static_cast<float>(0.0);
2022-11-23T01:32:37.7338416Z                     auto tmp3 = std::max(tmp1, tmp2);
2022-11-23T01:32:37.7338522Z                     auto tmp4 = static_cast<float>(6.0);
2022-11-23T01:32:37.7338625Z                     auto tmp5 = std::min(tmp3, tmp4);
2022-11-23T01:32:37.7338733Z                     auto tmp6 = static_cast<bfloat16>(tmp5);
2022-11-23T01:32:37.7338821Z                     in_out_ptr0[i0] = tmp6;
2022-11-23T01:32:37.7338873Z                 }
2022-11-23T01:32:37.7338936Z             }
2022-11-23T01:32:37.7338998Z         }
2022-11-23T01:32:37.7339058Z     }
2022-11-23T01:32:37.7339116Z }
2022-11-23T01:32:37.7339192Z ''')
2022-11-23T01:32:37.7339197Z 
2022-11-23T01:32:37.7339201Z 
2022-11-23T01:32:37.7339321Z async_compile.wait(globals())
2022-11-23T01:32:37.7339380Z del async_compile
2022-11-23T01:32:37.7339385Z 
2022-11-23T01:32:37.7339454Z def call(args):
2022-11-23T01:32:37.7339529Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.7339600Z     args.clear()
2022-11-23T01:32:37.7339797Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7339971Z     aten.mm.out(as_strided(arg1_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.7340040Z     del arg0_1
2022-11-23T01:32:37.7340094Z     del arg1_1
2022-11-23T01:32:37.7340207Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.7340309Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7340379Z     return (buf1, )
2022-11-23T01:32:37.7340385Z 
2022-11-23T01:32:37.7340390Z 
2022-11-23T01:32:37.7340468Z if __name__ == "__main__":
2022-11-23T01:32:37.7340578Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7340700Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7340901Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7341091Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7341206Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.7341211Z 
2022-11-23T01:32:37.7341216Z 
2022-11-23T01:32:37.7341310Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7341380Z import torch
2022-11-23T01:32:37.7341449Z import random
2022-11-23T01:32:37.7341561Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7341678Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7341683Z 
2022-11-23T01:32:37.7341760Z aten = torch.ops.aten
2022-11-23T01:32:37.7341879Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7341968Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7341975Z 
2022-11-23T01:32:37.7341979Z 
2022-11-23T01:32:37.7342110Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7342313Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7342431Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.7342492Z {
2022-11-23T01:32:37.7342590Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7342638Z     {
2022-11-23T01:32:37.7342714Z         #pragma omp for 
2022-11-23T01:32:37.7342797Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.7342859Z         {
2022-11-23T01:32:37.7342922Z             {
2022-11-23T01:32:37.7342984Z                 {
2022-11-23T01:32:37.7343103Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.7343197Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.7343300Z                     auto tmp2 = static_cast<float>(0.0);
2022-11-23T01:32:37.7343404Z                     auto tmp3 = std::max(tmp1, tmp2);
2022-11-23T01:32:37.7343509Z                     auto tmp4 = static_cast<float>(6.0);
2022-11-23T01:32:37.7343613Z                     auto tmp5 = std::min(tmp3, tmp4);
2022-11-23T01:32:37.7343720Z                     auto tmp6 = static_cast<bfloat16>(tmp5);
2022-11-23T01:32:37.7343810Z                     in_out_ptr0[i0] = tmp6;
2022-11-23T01:32:37.7343877Z                 }
2022-11-23T01:32:37.7343927Z             }
2022-11-23T01:32:37.7343989Z         }
2022-11-23T01:32:37.7344051Z     }
2022-11-23T01:32:37.7344110Z }
2022-11-23T01:32:37.7344186Z ''')
2022-11-23T01:32:37.7344191Z 
2022-11-23T01:32:37.7344195Z 
2022-11-23T01:32:37.7344283Z async_compile.wait(globals())
2022-11-23T01:32:37.7344353Z del async_compile
2022-11-23T01:32:37.7344358Z 
2022-11-23T01:32:37.7344415Z def call(args):
2022-11-23T01:32:37.7344586Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.7344659Z     args.clear()
2022-11-23T01:32:37.7344862Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7345053Z     aten.addmm.out(arg1_1, arg2_1, as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.7345120Z     del arg0_1
2022-11-23T01:32:37.7345185Z     del arg1_1
2022-11-23T01:32:37.7345237Z     del arg2_1
2022-11-23T01:32:37.7345320Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.7345423Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7345494Z     return (buf1, )
2022-11-23T01:32:37.7345499Z 
2022-11-23T01:32:37.7345530Z 
2022-11-23T01:32:37.7345606Z if __name__ == "__main__":
2022-11-23T01:32:37.7345717Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7345838Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7346026Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7346219Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7346413Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7346536Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.7346903Z [2022-11-23 01:23:39,526] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mh/cmhk6zwl744re2ytjxm2vkey2hu7tuhu6b455cfd3msdxdhy5cz2.py
2022-11-23T01:32:37.7347169Z [2022-11-23 01:23:39,527] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 281
2022-11-23T01:32:37.7347406Z [2022-11-23 01:23:39,536] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7347673Z [2022-11-23 01:23:39,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7347890Z [2022-11-23 01:23:39,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7348120Z [2022-11-23 01:23:39,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.7348397Z [2022-11-23 01:23:39,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.7348709Z [2022-11-23 01:23:39,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7348956Z [2022-11-23 01:23:39,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7349192Z [2022-11-23 01:23:39,548] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7349444Z [2022-11-23 01:23:39,550] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7349690Z [2022-11-23 01:23:39,559] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7349877Z [2022-11-23 01:23:39,559] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7350010Z  __compiled_fn_289 <eval_with_key>.1795 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7350087Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7350186Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.7350288Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.7350386Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.7350391Z 
2022-11-23T01:32:37.7350670Z [2022-11-23 01:23:39,560] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7350762Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7350851Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7350943Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7351020Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7351096Z               8 RETURN_VALUE
2022-11-23T01:32:37.7351101Z 
2022-11-23T01:32:37.7351161Z  
2022-11-23T01:32:37.7351432Z [2022-11-23 01:23:39,560] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7351574Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_289)
2022-11-23T01:32:37.7351663Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7351752Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7351828Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7351904Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7352020Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7352095Z              12 RETURN_VALUE
2022-11-23T01:32:37.7352100Z 
2022-11-23T01:32:37.7352160Z  
2022-11-23T01:32:37.7352340Z [2022-11-23 01:23:39,561] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7352409Z  - 
2022-11-23T01:32:37.7352526Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7352577Z             {
2022-11-23T01:32:37.7352715Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7352900Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7353019Z                 'obj_weakref': None
2022-11-23T01:32:37.7353240Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7353304Z             }
2022-11-23T01:32:37.7353366Z             
2022-11-23T01:32:37.7353421Z  - 
2022-11-23T01:32:37.7353543Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7353606Z             {
2022-11-23T01:32:37.7353750Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7353855Z                 'code': None,
2022-11-23T01:32:37.7354061Z                 'obj_weakref': <weakref at 0x7f71060e72f0; to 'Tensor' at 0x7f710671ad70>
2022-11-23T01:32:37.7354309Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7354359Z             }
2022-11-23T01:32:37.7354422Z             
2022-11-23T01:32:37.7354489Z  - 
2022-11-23T01:32:37.7354607Z             local 'model' NN_MODULE
2022-11-23T01:32:37.7354672Z             {
2022-11-23T01:32:37.7354806Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7354972Z                 'code': ['___check_obj_id(model, 140123087775120)'],
2022-11-23T01:32:37.7355175Z                 'obj_weakref': <weakref at 0x7f7106e34d10; to 'Sequential' at 0x7f70f2df2590>
2022-11-23T01:32:37.7355407Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.7355472Z             }
2022-11-23T01:32:37.7355535Z             
2022-11-23T01:32:37.7355602Z  - 
2022-11-23T01:32:37.7355722Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7355783Z             {
2022-11-23T01:32:37.7355906Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7356122Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7356239Z                 'obj_weakref': None
2022-11-23T01:32:37.7356458Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7356521Z             }
2022-11-23T01:32:37.7356584Z             
2022-11-23T01:32:37.7356650Z  - 
2022-11-23T01:32:37.7356781Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.7356843Z             {
2022-11-23T01:32:37.7356961Z                 'guard_types': None,
2022-11-23T01:32:37.7357066Z                 'code': None,
2022-11-23T01:32:37.7357319Z                 'obj_weakref': None
2022-11-23T01:32:37.7357440Z                 'guarded_class': None
2022-11-23T01:32:37.7357502Z             }
2022-11-23T01:32:37.7357552Z             
2022-11-23T01:32:37.7357619Z  - 
2022-11-23T01:32:37.7357764Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.7357826Z             {
2022-11-23T01:32:37.7357943Z                 'guard_types': None,
2022-11-23T01:32:37.7358047Z                 'code': None,
2022-11-23T01:32:37.7358151Z                 'obj_weakref': None
2022-11-23T01:32:37.7358323Z                 'guarded_class': None
2022-11-23T01:32:37.7358385Z             }
2022-11-23T01:32:37.7358447Z             
2022-11-23T01:32:37.7358708Z [2022-11-23 01:23:39,583] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 282
2022-11-23T01:32:37.7359075Z [2022-11-23 01:23:39,598] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m4/cm4znownhvfv4qd7ra6vb7jfklmiz3hq6lx4x5jmlypra4c3k7mz.py
2022-11-23T01:32:37.7359377Z [2022-11-23 01:23:39,598] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 282
2022-11-23T01:32:37.7359613Z [2022-11-23 01:23:39,604] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7359869Z [2022-11-23 01:23:39,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7360087Z [2022-11-23 01:23:39,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7360333Z [2022-11-23 01:23:39,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.7360608Z [2022-11-23 01:23:39,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.7360922Z [2022-11-23 01:23:39,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7361170Z [2022-11-23 01:23:39,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7361402Z [2022-11-23 01:23:39,630] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7361653Z [2022-11-23 01:23:39,631] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7361903Z [2022-11-23 01:23:39,654] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7362090Z [2022-11-23 01:23:39,654] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7362211Z  __compiled_fn_290 <eval_with_key>.1801 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7362299Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7362396Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.7362496Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.7362593Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.7362601Z 
2022-11-23T01:32:37.7362879Z [2022-11-23 01:23:39,655] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7362972Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7363049Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7363140Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7363229Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7363305Z               8 RETURN_VALUE
2022-11-23T01:32:37.7363312Z 
2022-11-23T01:32:37.7363376Z  
2022-11-23T01:32:37.7363651Z [2022-11-23 01:23:39,655] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7363758Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_290)
2022-11-23T01:32:37.7363847Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7363923Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7363999Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7364086Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7364175Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7364248Z              12 RETURN_VALUE
2022-11-23T01:32:37.7364253Z 
2022-11-23T01:32:37.7364312Z  
2022-11-23T01:32:37.7364491Z [2022-11-23 01:23:39,656] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7364546Z  - 
2022-11-23T01:32:37.7364663Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7364756Z             {
2022-11-23T01:32:37.7364897Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7365084Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7365201Z                 'obj_weakref': None
2022-11-23T01:32:37.7365422Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7365474Z             }
2022-11-23T01:32:37.7365537Z             
2022-11-23T01:32:37.7365631Z  - 
2022-11-23T01:32:37.7365757Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7365819Z             {
2022-11-23T01:32:37.7365959Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7366065Z                 'code': None,
2022-11-23T01:32:37.7366259Z                 'obj_weakref': <weakref at 0x7f7106c86470; to 'Tensor' at 0x7f7106a37b30>
2022-11-23T01:32:37.7366505Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7366571Z             }
2022-11-23T01:32:37.7366633Z             
2022-11-23T01:32:37.7366700Z  - 
2022-11-23T01:32:37.7366818Z             local 'model' NN_MODULE
2022-11-23T01:32:37.7366881Z             {
2022-11-23T01:32:37.7367003Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7367168Z                 'code': ['___check_obj_id(model, 140123620625168)'],
2022-11-23T01:32:37.7367383Z                 'obj_weakref': <weakref at 0x7f70f2c63470; to 'Sequential' at 0x7f7112a1cb10>
2022-11-23T01:32:37.7367613Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.7367676Z             }
2022-11-23T01:32:37.7367737Z             
2022-11-23T01:32:37.7367804Z  - 
2022-11-23T01:32:37.7367911Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7367973Z             {
2022-11-23T01:32:37.7368107Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7368324Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7368442Z                 'obj_weakref': None
2022-11-23T01:32:37.7368659Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7368723Z             }
2022-11-23T01:32:37.7368773Z             
2022-11-23T01:32:37.7368840Z  - 
2022-11-23T01:32:37.7368984Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.7369045Z             {
2022-11-23T01:32:37.7369165Z                 'guard_types': None,
2022-11-23T01:32:37.7369269Z                 'code': None,
2022-11-23T01:32:37.7369384Z                 'obj_weakref': None
2022-11-23T01:32:37.7369492Z                 'guarded_class': None
2022-11-23T01:32:37.7369555Z             }
2022-11-23T01:32:37.7369617Z             
2022-11-23T01:32:37.7369684Z  - 
2022-11-23T01:32:37.7369829Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.7369890Z             {
2022-11-23T01:32:37.7370008Z                 'guard_types': None,
2022-11-23T01:32:37.7370101Z                 'code': None,
2022-11-23T01:32:37.7370217Z                 'obj_weakref': None
2022-11-23T01:32:37.7370335Z                 'guarded_class': None
2022-11-23T01:32:37.7370397Z             }
2022-11-23T01:32:37.7370459Z             
2022-11-23T01:32:37.7370717Z [2022-11-23 01:23:39,686] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 283
2022-11-23T01:32:37.7371093Z [2022-11-23 01:23:42,201] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f7/cf7xxmgtphzulanzadqagszmk2kgk2ksywrhwmgzdbaiokwvrydd.py
2022-11-23T01:32:37.7371343Z [2022-11-23 01:23:42,202] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 283
2022-11-23T01:32:37.7371577Z [2022-11-23 01:23:42,211] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7371842Z [2022-11-23 01:23:42,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7372086Z [2022-11-23 01:23:42,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7372325Z [2022-11-23 01:23:42,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.7372601Z [2022-11-23 01:23:42,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.7372956Z [2022-11-23 01:23:42,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7373200Z [2022-11-23 01:23:42,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7373431Z [2022-11-23 01:23:42,228] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7373680Z [2022-11-23 01:23:42,230] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7373917Z [2022-11-23 01:23:42,270] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7374101Z [2022-11-23 01:23:42,271] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7374233Z  __compiled_fn_291 <eval_with_key>.1807 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7374322Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7374421Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.7374524Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.7374621Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.7374626Z 
2022-11-23T01:32:37.7374901Z [2022-11-23 01:23:42,271] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7374981Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7375071Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7375165Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7375256Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7375335Z               8 RETURN_VALUE
2022-11-23T01:32:37.7375340Z 
2022-11-23T01:32:37.7375400Z  
2022-11-23T01:32:37.7375670Z [2022-11-23 01:23:42,271] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7375764Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_291)
2022-11-23T01:32:37.7375855Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7375944Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7376021Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7376108Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7376197Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7376271Z              12 RETURN_VALUE
2022-11-23T01:32:37.7376276Z 
2022-11-23T01:32:37.7376335Z  
2022-11-23T01:32:37.7376502Z [2022-11-23 01:23:42,273] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7376572Z  - 
2022-11-23T01:32:37.7376689Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7376753Z             {
2022-11-23T01:32:37.7376892Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7377078Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7377195Z                 'obj_weakref': None
2022-11-23T01:32:37.7377405Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7377468Z             }
2022-11-23T01:32:37.7377535Z             
2022-11-23T01:32:37.7377602Z  - 
2022-11-23T01:32:37.7377723Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7377785Z             {
2022-11-23T01:32:37.7377926Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7378019Z                 'code': None,
2022-11-23T01:32:37.7378226Z                 'obj_weakref': <weakref at 0x7f71c25f3b30; to 'Tensor' at 0x7f7106e156b0>
2022-11-23T01:32:37.7378506Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7378570Z             }
2022-11-23T01:32:37.7378632Z             
2022-11-23T01:32:37.7378700Z  - 
2022-11-23T01:32:37.7378818Z             local 'model' NN_MODULE
2022-11-23T01:32:37.7378868Z             {
2022-11-23T01:32:37.7379001Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7379198Z                 'code': ['___check_obj_id(model, 140123423575888)'],
2022-11-23T01:32:37.7379417Z                 'obj_weakref': <weakref at 0x7f71c25f3350; to 'Sequential' at 0x7f7106e30f50>
2022-11-23T01:32:37.7379647Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.7379710Z             }
2022-11-23T01:32:37.7379776Z             
2022-11-23T01:32:37.7379832Z  - 
2022-11-23T01:32:37.7379952Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7380017Z             {
2022-11-23T01:32:37.7380154Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7380370Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7380487Z                 'obj_weakref': None
2022-11-23T01:32:37.7380704Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7380755Z             }
2022-11-23T01:32:37.7380818Z             
2022-11-23T01:32:37.7380889Z  - 
2022-11-23T01:32:37.7381033Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.7381096Z             {
2022-11-23T01:32:37.7381213Z                 'guard_types': None,
2022-11-23T01:32:37.7381318Z                 'code': None,
2022-11-23T01:32:37.7381422Z                 'obj_weakref': None
2022-11-23T01:32:37.7381541Z                 'guarded_class': None
2022-11-23T01:32:37.7381605Z             }
2022-11-23T01:32:37.7381666Z             
2022-11-23T01:32:37.7381735Z  - 
2022-11-23T01:32:37.7381880Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.7381930Z             {
2022-11-23T01:32:37.7382048Z                 'guard_types': None,
2022-11-23T01:32:37.7382153Z                 'code': None,
2022-11-23T01:32:37.7382270Z                 'obj_weakref': None
2022-11-23T01:32:37.7382389Z                 'guarded_class': None
2022-11-23T01:32:37.7382450Z             }
2022-11-23T01:32:37.7382513Z             
2022-11-23T01:32:37.7382759Z [2022-11-23 01:23:42,294] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 284
2022-11-23T01:32:37.7383129Z [2022-11-23 01:23:42,310] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nz/cnzm7ex6hk6td3xceu2upzbxvwjsi7mik53cwddpfcs5babo66w7.py
2022-11-23T01:32:37.7383393Z [2022-11-23 01:23:42,310] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 284
2022-11-23T01:32:37.7383630Z [2022-11-23 01:23:42,316] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7383898Z [2022-11-23 01:23:42,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7384116Z [2022-11-23 01:23:42,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7384356Z [2022-11-23 01:23:42,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.7384727Z [2022-11-23 01:23:42,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.7385051Z [2022-11-23 01:23:42,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7385295Z [2022-11-23 01:23:42,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7385514Z [2022-11-23 01:23:42,339] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7385804Z [2022-11-23 01:23:42,340] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7386050Z [2022-11-23 01:23:42,365] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7386236Z [2022-11-23 01:23:42,365] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7386369Z  __compiled_fn_292 <eval_with_key>.1813 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7386489Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7386588Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.7386689Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.7386773Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.7386781Z 
2022-11-23T01:32:37.7387059Z [2022-11-23 01:23:42,365] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7387152Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7387245Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7387335Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7387424Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7387500Z               8 RETURN_VALUE
2022-11-23T01:32:37.7387505Z 
2022-11-23T01:32:37.7387566Z  
2022-11-23T01:32:37.7387829Z [2022-11-23 01:23:42,365] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7387936Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_292)
2022-11-23T01:32:37.7388025Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7388113Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7388189Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7388275Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7388366Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7388427Z              12 RETURN_VALUE
2022-11-23T01:32:37.7388435Z 
2022-11-23T01:32:37.7388494Z  
2022-11-23T01:32:37.7388674Z [2022-11-23 01:23:42,366] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7388743Z  - 
2022-11-23T01:32:37.7388860Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7388924Z             {
2022-11-23T01:32:37.7389063Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7389233Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7389354Z                 'obj_weakref': None
2022-11-23T01:32:37.7389576Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7389640Z             }
2022-11-23T01:32:37.7389702Z             
2022-11-23T01:32:37.7389771Z  - 
2022-11-23T01:32:37.7389893Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7389943Z             {
2022-11-23T01:32:37.7390085Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7390192Z                 'code': None,
2022-11-23T01:32:37.7390400Z                 'obj_weakref': <weakref at 0x7f710696ba10; to 'Tensor' at 0x7f710671ad70>
2022-11-23T01:32:37.7390646Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7390709Z             }
2022-11-23T01:32:37.7390771Z             
2022-11-23T01:32:37.7390827Z  - 
2022-11-23T01:32:37.7390945Z             local 'model' NN_MODULE
2022-11-23T01:32:37.7391009Z             {
2022-11-23T01:32:37.7391142Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7391308Z                 'code': ['___check_obj_id(model, 140126544799056)'],
2022-11-23T01:32:37.7391523Z                 'obj_weakref': <weakref at 0x7f7106787d70; to 'Sequential' at 0x7f71c0ed2550>
2022-11-23T01:32:37.7391753Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.7391816Z             }
2022-11-23T01:32:37.7391898Z             
2022-11-23T01:32:37.7391965Z  - 
2022-11-23T01:32:37.7392086Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7392149Z             {
2022-11-23T01:32:37.7392282Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7392496Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7392601Z                 'obj_weakref': None
2022-11-23T01:32:37.7392844Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7392907Z             }
2022-11-23T01:32:37.7392970Z             
2022-11-23T01:32:37.7393037Z  - 
2022-11-23T01:32:37.7393180Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.7393241Z             {
2022-11-23T01:32:37.7393347Z                 'guard_types': None,
2022-11-23T01:32:37.7393451Z                 'code': None,
2022-11-23T01:32:37.7393567Z                 'obj_weakref': None
2022-11-23T01:32:37.7393684Z                 'guarded_class': None
2022-11-23T01:32:37.7393749Z             }
2022-11-23T01:32:37.7393813Z             
2022-11-23T01:32:37.7393879Z  - 
2022-11-23T01:32:37.7394009Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.7394071Z             {
2022-11-23T01:32:37.7394188Z                 'guard_types': None,
2022-11-23T01:32:37.7394292Z                 'code': None,
2022-11-23T01:32:37.7394406Z                 'obj_weakref': None
2022-11-23T01:32:37.7394531Z                 'guarded_class': None
2022-11-23T01:32:37.7394594Z             }
2022-11-23T01:32:37.7394644Z             
2022-11-23T01:32:37.7394901Z [2022-11-23 01:23:42,394] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 285
2022-11-23T01:32:37.7395266Z [2022-11-23 01:23:44,930] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3v/c3v3zbj2dr2bhv7yoxfugxrq6psu7dyvdd2e74hyfp7feiyh4fxn.py
2022-11-23T01:32:37.7395533Z [2022-11-23 01:23:44,931] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 285
2022-11-23T01:32:37.7395771Z [2022-11-23 01:23:44,942] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7396035Z [2022-11-23 01:23:44,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7396250Z [2022-11-23 01:23:44,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7396492Z [2022-11-23 01:23:44,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()]
2022-11-23T01:32:37.7396766Z [2022-11-23 01:23:44,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()]
2022-11-23T01:32:37.7397066Z [2022-11-23 01:23:44,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7397442Z [2022-11-23 01:23:44,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7397677Z [2022-11-23 01:23:44,962] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7397925Z [2022-11-23 01:23:44,964] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7398175Z [2022-11-23 01:23:44,981] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7398365Z [2022-11-23 01:23:44,981] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7398500Z  __compiled_fn_293 <eval_with_key>.1819 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7398588Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7398676Z call_module, model_0, model_0, (ex_0_,), {}
2022-11-23T01:32:37.7398776Z call_module, model_1, model_1, (model_0,), {}
2022-11-23T01:32:37.7398873Z output, output, output, ((model_1,),), {}
2022-11-23T01:32:37.7398878Z 
2022-11-23T01:32:37.7399154Z [2022-11-23 01:23:44,983] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7399301Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7399392Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7399483Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7399573Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7399636Z               8 RETURN_VALUE
2022-11-23T01:32:37.7399641Z 
2022-11-23T01:32:37.7399735Z  
2022-11-23T01:32:37.7400010Z [2022-11-23 01:23:44,983] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7400118Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_293)
2022-11-23T01:32:37.7400207Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7400294Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7400371Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7400458Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7400538Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7400612Z              12 RETURN_VALUE
2022-11-23T01:32:37.7400617Z 
2022-11-23T01:32:37.7400678Z  
2022-11-23T01:32:37.7400858Z [2022-11-23 01:23:44,984] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7400926Z  - 
2022-11-23T01:32:37.7401044Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7401107Z             {
2022-11-23T01:32:37.7401235Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7401420Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7401540Z                 'obj_weakref': None
2022-11-23T01:32:37.7401760Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7401824Z             }
2022-11-23T01:32:37.7401887Z             
2022-11-23T01:32:37.7401954Z  - 
2022-11-23T01:32:37.7402065Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7402128Z             {
2022-11-23T01:32:37.7402271Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7402376Z                 'code': None,
2022-11-23T01:32:37.7402582Z                 'obj_weakref': <weakref at 0x7f71069c4710; to 'Tensor' at 0x7f710627cdd0>
2022-11-23T01:32:37.7402830Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7402893Z             }
2022-11-23T01:32:37.7402944Z             
2022-11-23T01:32:37.7403012Z  - 
2022-11-23T01:32:37.7403132Z             local 'model' NN_MODULE
2022-11-23T01:32:37.7403193Z             {
2022-11-23T01:32:37.7403326Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7403493Z                 'code': ['___check_obj_id(model, 140126544588496)'],
2022-11-23T01:32:37.7403706Z                 'obj_weakref': <weakref at 0x7f7106722fb0; to 'Sequential' at 0x7f71c0e9eed0>
2022-11-23T01:32:37.7403922Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.7403987Z             }
2022-11-23T01:32:37.7404052Z             
2022-11-23T01:32:37.7404122Z  - 
2022-11-23T01:32:37.7404241Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7404304Z             {
2022-11-23T01:32:37.7404439Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7404643Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7404760Z                 'obj_weakref': None
2022-11-23T01:32:37.7404979Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7405044Z             }
2022-11-23T01:32:37.7405106Z             
2022-11-23T01:32:37.7405173Z  - 
2022-11-23T01:32:37.7405316Z             local_nn_module 'model[0]' NN_MODULE
2022-11-23T01:32:37.7405366Z             {
2022-11-23T01:32:37.7405486Z                 'guard_types': None,
2022-11-23T01:32:37.7405632Z                 'code': None,
2022-11-23T01:32:37.7405748Z                 'obj_weakref': None
2022-11-23T01:32:37.7405865Z                 'guarded_class': None
2022-11-23T01:32:37.7405928Z             }
2022-11-23T01:32:37.7405990Z             
2022-11-23T01:32:37.7406044Z  - 
2022-11-23T01:32:37.7406188Z             local_nn_module 'model[1]' NN_MODULE
2022-11-23T01:32:37.7406251Z             {
2022-11-23T01:32:37.7406365Z                 'guard_types': None,
2022-11-23T01:32:37.7406498Z                 'code': None,
2022-11-23T01:32:37.7406617Z                 'obj_weakref': None
2022-11-23T01:32:37.7406724Z                 'guarded_class': None
2022-11-23T01:32:37.7406786Z             }
2022-11-23T01:32:37.7406849Z             
2022-11-23T01:32:37.7407108Z [2022-11-23 01:23:45,009] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 286
2022-11-23T01:32:37.7407114Z 
2022-11-23T01:32:37.7407118Z 
2022-11-23T01:32:37.7407211Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7407281Z import torch
2022-11-23T01:32:37.7407349Z import random
2022-11-23T01:32:37.7407462Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7407571Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7407575Z 
2022-11-23T01:32:37.7407653Z aten = torch.ops.aten
2022-11-23T01:32:37.7407786Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7407876Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7407881Z 
2022-11-23T01:32:37.7407888Z 
2022-11-23T01:32:37.7408019Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7408223Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7408342Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.7408401Z {
2022-11-23T01:32:37.7408486Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7408546Z     {
2022-11-23T01:32:37.7408624Z         #pragma omp for 
2022-11-23T01:32:37.7408706Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.7408768Z         {
2022-11-23T01:32:37.7408831Z             {
2022-11-23T01:32:37.7408883Z                 {
2022-11-23T01:32:37.7409001Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.7409108Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.7409224Z                     auto tmp2 = static_cast<float>(0.0);
2022-11-23T01:32:37.7409385Z                     auto tmp3 = std::max(tmp1, tmp2);
2022-11-23T01:32:37.7409526Z                     auto tmp4 = static_cast<float>(6.0);
2022-11-23T01:32:37.7409662Z                     auto tmp5 = std::min(tmp3, tmp4);
2022-11-23T01:32:37.7409771Z                     auto tmp6 = static_cast<bfloat16>(tmp5);
2022-11-23T01:32:37.7409849Z                     in_out_ptr0[i0] = tmp6;
2022-11-23T01:32:37.7409914Z                 }
2022-11-23T01:32:37.7409977Z             }
2022-11-23T01:32:37.7410037Z         }
2022-11-23T01:32:37.7410098Z     }
2022-11-23T01:32:37.7410159Z }
2022-11-23T01:32:37.7410233Z ''')
2022-11-23T01:32:37.7410249Z 
2022-11-23T01:32:37.7410254Z 
2022-11-23T01:32:37.7410331Z async_compile.wait(globals())
2022-11-23T01:32:37.7410401Z del async_compile
2022-11-23T01:32:37.7410406Z 
2022-11-23T01:32:37.7410477Z def call(args):
2022-11-23T01:32:37.7410556Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.7410626Z     args.clear()
2022-11-23T01:32:37.7410829Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7410949Z     aten.mm.out(arg1_1, as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.7411008Z     del arg0_1
2022-11-23T01:32:37.7411075Z     del arg1_1
2022-11-23T01:32:37.7411162Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.7411263Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7411334Z     return (buf1, )
2022-11-23T01:32:37.7411339Z 
2022-11-23T01:32:37.7411343Z 
2022-11-23T01:32:37.7411418Z if __name__ == "__main__":
2022-11-23T01:32:37.7411580Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7411701Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7411891Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7412089Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7412203Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.7412208Z 
2022-11-23T01:32:37.7412241Z 
2022-11-23T01:32:37.7412335Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7412403Z import torch
2022-11-23T01:32:37.7412472Z import random
2022-11-23T01:32:37.7412584Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7412692Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7412708Z 
2022-11-23T01:32:37.7412773Z aten = torch.ops.aten
2022-11-23T01:32:37.7412904Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7412997Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7413002Z 
2022-11-23T01:32:37.7413007Z 
2022-11-23T01:32:37.7413139Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7413341Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7413460Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.7413520Z {
2022-11-23T01:32:37.7413605Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7413666Z     {
2022-11-23T01:32:37.7413745Z         #pragma omp for 
2022-11-23T01:32:37.7413827Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.7413890Z         {
2022-11-23T01:32:37.7413951Z             {
2022-11-23T01:32:37.7414015Z                 {
2022-11-23T01:32:37.7414119Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.7414225Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.7414371Z                     auto tmp2 = std::exp(-tmp1);
2022-11-23T01:32:37.7414463Z                     auto tmp3 = 1 / (1 + tmp2);
2022-11-23T01:32:37.7414554Z                     auto tmp4 = tmp1 * tmp3;
2022-11-23T01:32:37.7414663Z                     auto tmp5 = static_cast<bfloat16>(tmp4);
2022-11-23T01:32:37.7414751Z                     in_out_ptr0[i0] = tmp5;
2022-11-23T01:32:37.7414803Z                 }
2022-11-23T01:32:37.7414865Z             }
2022-11-23T01:32:37.7414927Z         }
2022-11-23T01:32:37.7414989Z     }
2022-11-23T01:32:37.7415049Z }
2022-11-23T01:32:37.7415126Z ''')
2022-11-23T01:32:37.7415131Z 
2022-11-23T01:32:37.7415135Z 
2022-11-23T01:32:37.7415224Z async_compile.wait(globals())
2022-11-23T01:32:37.7415282Z del async_compile
2022-11-23T01:32:37.7415299Z 
2022-11-23T01:32:37.7415357Z def call(args):
2022-11-23T01:32:37.7415439Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.7415507Z     args.clear()
2022-11-23T01:32:37.7415708Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7415879Z     aten.addmm.out(arg1_1, as_strided(arg2_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.7415946Z     del arg0_1
2022-11-23T01:32:37.7416011Z     del arg1_1
2022-11-23T01:32:37.7416064Z     del arg2_1
2022-11-23T01:32:37.7416177Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.7416279Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7416350Z     return (buf1, )
2022-11-23T01:32:37.7416356Z 
2022-11-23T01:32:37.7416361Z 
2022-11-23T01:32:37.7416437Z if __name__ == "__main__":
2022-11-23T01:32:37.7416549Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7416669Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7416858Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7417055Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7417258Z     arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7417438Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.7417442Z 
2022-11-23T01:32:37.7417447Z 
2022-11-23T01:32:37.7417541Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7417609Z import torch
2022-11-23T01:32:37.7417677Z import random
2022-11-23T01:32:37.7417790Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7417944Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7417961Z 
2022-11-23T01:32:37.7418026Z aten = torch.ops.aten
2022-11-23T01:32:37.7418157Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7418247Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7418252Z 
2022-11-23T01:32:37.7418256Z 
2022-11-23T01:32:37.7418388Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7418589Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7418712Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.7418772Z {
2022-11-23T01:32:37.7418857Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7418918Z     {
2022-11-23T01:32:37.7418993Z         #pragma omp for 
2022-11-23T01:32:37.7419075Z         for(long i0=0; i0<180; i0+=1)
2022-11-23T01:32:37.7419136Z         {
2022-11-23T01:32:37.7419199Z             {
2022-11-23T01:32:37.7419263Z                 {
2022-11-23T01:32:37.7419370Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.7419475Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.7419620Z                     auto tmp2 = std::exp(-tmp1);
2022-11-23T01:32:37.7419709Z                     auto tmp3 = 1 / (1 + tmp2);
2022-11-23T01:32:37.7419799Z                     auto tmp4 = tmp1 * tmp3;
2022-11-23T01:32:37.7419908Z                     auto tmp5 = static_cast<bfloat16>(tmp4);
2022-11-23T01:32:37.7419996Z                     in_out_ptr0[i0] = tmp5;
2022-11-23T01:32:37.7420076Z                 }
2022-11-23T01:32:37.7420170Z             }
2022-11-23T01:32:37.7420254Z         }
2022-11-23T01:32:37.7420337Z     }
2022-11-23T01:32:37.7420415Z }
2022-11-23T01:32:37.7420529Z ''')
2022-11-23T01:32:37.7420536Z 
2022-11-23T01:32:37.7420542Z 
2022-11-23T01:32:37.7420645Z async_compile.wait(globals())
2022-11-23T01:32:37.7420705Z del async_compile
2022-11-23T01:32:37.7420710Z 
2022-11-23T01:32:37.7420778Z def call(args):
2022-11-23T01:32:37.7420855Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.7420925Z     args.clear()
2022-11-23T01:32:37.7421127Z     buf0 = empty_strided((6, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7421271Z     aten.mm.out(as_strided(arg1_1, (6, 10), (10, 1)), as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.7421337Z     del arg0_1
2022-11-23T01:32:37.7421389Z     del arg1_1
2022-11-23T01:32:37.7421504Z     buf1 = as_strided(buf0, (2, 3, 30), (90, 30, 1)); del buf0  # reuse
2022-11-23T01:32:37.7421608Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7421680Z     return (buf1, )
2022-11-23T01:32:37.7421685Z 
2022-11-23T01:32:37.7421689Z 
2022-11-23T01:32:37.7421767Z if __name__ == "__main__":
2022-11-23T01:32:37.7421879Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7422000Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7422202Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7422397Z     arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7422511Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.7422515Z 
2022-11-23T01:32:37.7422519Z 
2022-11-23T01:32:37.7422612Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7422682Z import torch
2022-11-23T01:32:37.7422751Z import random
2022-11-23T01:32:37.7422864Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7423026Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7423030Z 
2022-11-23T01:32:37.7423106Z aten = torch.ops.aten
2022-11-23T01:32:37.7423225Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7423315Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7423320Z 
2022-11-23T01:32:37.7423324Z 
2022-11-23T01:32:37.7423455Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7423694Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7423814Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.7423874Z {
2022-11-23T01:32:37.7423970Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7424031Z     {
2022-11-23T01:32:37.7424095Z         #pragma omp for 
2022-11-23T01:32:37.7424175Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.7424238Z         {
2022-11-23T01:32:37.7424301Z             {
2022-11-23T01:32:37.7424365Z                 {
2022-11-23T01:32:37.7424578Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.7424686Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.7424825Z                     auto tmp2 = std::exp(-tmp1);
2022-11-23T01:32:37.7424914Z                     auto tmp3 = 1 / (1 + tmp2);
2022-11-23T01:32:37.7425005Z                     auto tmp4 = tmp1 * tmp3;
2022-11-23T01:32:37.7425114Z                     auto tmp5 = static_cast<bfloat16>(tmp4);
2022-11-23T01:32:37.7425205Z                     in_out_ptr0[i0] = tmp5;
2022-11-23T01:32:37.7425268Z                 }
2022-11-23T01:32:37.7425330Z             }
2022-11-23T01:32:37.7425381Z         }
2022-11-23T01:32:37.7425441Z     }
2022-11-23T01:32:37.7425501Z }
2022-11-23T01:32:37.7425578Z ''')
2022-11-23T01:32:37.7425583Z 
2022-11-23T01:32:37.7425587Z 
2022-11-23T01:32:37.7425674Z async_compile.wait(globals())
2022-11-23T01:32:37.7425745Z del async_compile
2022-11-23T01:32:37.7425750Z 
2022-11-23T01:32:37.7425822Z def call(args):
2022-11-23T01:32:37.7425890Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.7425959Z     args.clear()
2022-11-23T01:32:37.7426159Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7426309Z     aten.addmm.out(arg1_1, arg2_1, as_strided(arg0_1, (10, 30), (1, 10)), beta=1, alpha=1, out=buf0)
2022-11-23T01:32:37.7426376Z     del arg0_1
2022-11-23T01:32:37.7426441Z     del arg1_1
2022-11-23T01:32:37.7426506Z     del arg2_1
2022-11-23T01:32:37.7426579Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.7426681Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7426751Z     return (buf1, )
2022-11-23T01:32:37.7426756Z 
2022-11-23T01:32:37.7426760Z 
2022-11-23T01:32:37.7426835Z if __name__ == "__main__":
2022-11-23T01:32:37.7426948Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7427067Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7427267Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7427461Z     arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7427643Z     arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7427763Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.7427768Z 
2022-11-23T01:32:37.7427772Z 
2022-11-23T01:32:37.7427865Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7427937Z import torch
2022-11-23T01:32:37.7428007Z import random
2022-11-23T01:32:37.7428119Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7428239Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7428244Z 
2022-11-23T01:32:37.7428320Z aten = torch.ops.aten
2022-11-23T01:32:37.7428440Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7428529Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7428534Z 
2022-11-23T01:32:37.7428538Z 
2022-11-23T01:32:37.7428702Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7428905Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7429025Z extern "C" void kernel(bfloat16* __restrict__ in_out_ptr0)
2022-11-23T01:32:37.7429087Z {
2022-11-23T01:32:37.7429182Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7429231Z     {
2022-11-23T01:32:37.7429308Z         #pragma omp for 
2022-11-23T01:32:37.7429417Z         for(long i0=0; i0<60; i0+=1)
2022-11-23T01:32:37.7429480Z         {
2022-11-23T01:32:37.7429542Z             {
2022-11-23T01:32:37.7429606Z                 {
2022-11-23T01:32:37.7429725Z                     auto tmp0 = static_cast<float>(in_out_ptr0[i0]);
2022-11-23T01:32:37.7429819Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.7429964Z                     auto tmp2 = std::exp(-tmp1);
2022-11-23T01:32:37.7430054Z                     auto tmp3 = 1 / (1 + tmp2);
2022-11-23T01:32:37.7430147Z                     auto tmp4 = tmp1 * tmp3;
2022-11-23T01:32:37.7430257Z                     auto tmp5 = static_cast<bfloat16>(tmp4);
2022-11-23T01:32:37.7430345Z                     in_out_ptr0[i0] = tmp5;
2022-11-23T01:32:37.7430410Z                 }
2022-11-23T01:32:37.7430459Z             }
2022-11-23T01:32:37.7430522Z         }
2022-11-23T01:32:37.7430583Z     }
2022-11-23T01:32:37.7430642Z }
2022-11-23T01:32:37.7430719Z ''')
2022-11-23T01:32:37.7430724Z 
2022-11-23T01:32:37.7430728Z 
2022-11-23T01:32:37.7430818Z async_compile.wait(globals())
2022-11-23T01:32:37.7430890Z del async_compile
2022-11-23T01:32:37.7430894Z 
2022-11-23T01:32:37.7430951Z def call(args):
2022-11-23T01:32:37.7431025Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.7431094Z     args.clear()
2022-11-23T01:32:37.7431293Z     buf0 = empty_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7431413Z     aten.mm.out(arg1_1, as_strided(arg0_1, (10, 30), (1, 10)), out=buf0)
2022-11-23T01:32:37.7431480Z     del arg0_1
2022-11-23T01:32:37.7431547Z     del arg1_1
2022-11-23T01:32:37.7431619Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.7431722Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7431792Z     return (buf1, )
2022-11-23T01:32:37.7431796Z 
2022-11-23T01:32:37.7431801Z 
2022-11-23T01:32:37.7431876Z if __name__ == "__main__":
2022-11-23T01:32:37.7431988Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7432110Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7432308Z     arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7432504Z     arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16)
2022-11-23T01:32:37.7432607Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.7432981Z [2022-11-23 01:23:45,028] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cm/ccmhllhz4ydcixfysv775qelnldck5pwezqwz5ts77ltaufjnnh6.py
2022-11-23T01:32:37.7433247Z [2022-11-23 01:23:45,028] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 286
2022-11-23T01:32:37.7433252Z 
2022-11-23T01:32:37.7433324Z ok (55.190s)
2022-11-23T01:32:37.7433629Z   test_linspace_cpu (__main__.CpuTests) ... [2022-11-23 01:23:45,038] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7433897Z [2022-11-23 01:23:45,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7434112Z [2022-11-23 01:23:45,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7434369Z [2022-11-23 01:23:45,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.7434655Z [2022-11-23 01:23:45,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.7434979Z [2022-11-23 01:23:45,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7435321Z [2022-11-23 01:23:45,039] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64715d0, file "inductor/test_torchinductor.py", line 908> 
2022-11-23T01:32:37.7435417Z  909           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.7435513Z               2 LOAD_ATTR                1 (linspace)
2022-11-23T01:32:37.7435629Z               4 LOAD_CONST               1 (0.125)
2022-11-23T01:32:37.7435721Z               6 LOAD_CONST               2 (0.875)
2022-11-23T01:32:37.7435809Z               8 LOAD_CONST               3 (7)
2022-11-23T01:32:37.7435898Z              10 LOAD_FAST                0 (x)
2022-11-23T01:32:37.7435989Z              12 LOAD_ATTR                2 (device)
2022-11-23T01:32:37.7436124Z              14 LOAD_CONST               4 (('device',))
2022-11-23T01:32:37.7436213Z              16 CALL_FUNCTION_KW         4
2022-11-23T01:32:37.7436306Z              18 LOAD_FAST                0 (x)
2022-11-23T01:32:37.7436380Z              20 BINARY_ADD
2022-11-23T01:32:37.7436454Z              22 RETURN_VALUE
2022-11-23T01:32:37.7436514Z  
2022-11-23T01:32:37.7436519Z 
2022-11-23T01:32:37.7436784Z [2022-11-23 01:23:45,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:909
2022-11-23T01:32:37.7436990Z [2022-11-23 01:23:45,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.7437498Z [2022-11-23 01:23:45,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linspace [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.7437831Z [2022-11-23 01:23:45,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.125 [TorchVariable(<built-in method linspace of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.7438200Z [2022-11-23 01:23:45,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.875 [TorchVariable(<built-in method linspace of type object at 0x7f71f2abebc0>), ConstantVariable(float)]
2022-11-23T01:32:37.7438610Z [2022-11-23 01:23:45,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7 [TorchVariable(<built-in method linspace of type object at 0x7f71f2abebc0>), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:37.7439051Z [2022-11-23 01:23:45,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method linspace of type object at 0x7f71f2abebc0>), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:37.7439529Z [2022-11-23 01:23:45,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method linspace of type object at 0x7f71f2abebc0>), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.7440016Z [2022-11-23 01:23:45,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method linspace of type object at 0x7f71f2abebc0>), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int), TorchVariable(cpu)]
2022-11-23T01:32:37.7440549Z [2022-11-23 01:23:45,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TorchVariable(<built-in method linspace of type object at 0x7f71f2abebc0>), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:37.7440790Z [2022-11-23 01:23:45,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:37.7441062Z [2022-11-23 01:23:45,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7441308Z [2022-11-23 01:23:45,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7441638Z [2022-11-23 01:23:45,054] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64715d0, file "inductor/test_torchinductor.py", line 908>
2022-11-23T01:32:37.7441937Z [2022-11-23 01:23:45,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7442157Z [2022-11-23 01:23:45,054] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7442406Z [2022-11-23 01:23:45,056] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7442688Z [2022-11-23 01:23:45,065] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7442876Z [2022-11-23 01:23:45,066] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7443010Z  __compiled_fn_294 <eval_with_key>.1825 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7443100Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7443391Z call_function, linspace, <built-in method linspace of type object at 0x7f71f2abebc0>, (0.125, 0.875, 7), {'device': device(type='cpu')}
2022-11-23T01:32:37.7443580Z call_function, add, <built-in function add>, (linspace, ex_0_), {}
2022-11-23T01:32:37.7443661Z output, output, output, ((add,),), {}
2022-11-23T01:32:37.7443667Z 
2022-11-23T01:32:37.7443942Z [2022-11-23 01:23:45,066] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7444034Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7444126Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7444219Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7444307Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7444382Z               8 RETURN_VALUE
2022-11-23T01:32:37.7444387Z 
2022-11-23T01:32:37.7444448Z  
2022-11-23T01:32:37.7444706Z [2022-11-23 01:23:45,066] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7444813Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_294)
2022-11-23T01:32:37.7444905Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7444994Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7445071Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7445158Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7445247Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7445310Z              12 RETURN_VALUE
2022-11-23T01:32:37.7445326Z 
2022-11-23T01:32:37.7445376Z  
2022-11-23T01:32:37.7445560Z [2022-11-23 01:23:45,068] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7445632Z  - 
2022-11-23T01:32:37.7445748Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7445813Z             {
2022-11-23T01:32:37.7445953Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7446126Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7446243Z                 'obj_weakref': None
2022-11-23T01:32:37.7446468Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7446532Z             }
2022-11-23T01:32:37.7446595Z             
2022-11-23T01:32:37.7446663Z  - 
2022-11-23T01:32:37.7446784Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:37.7446835Z             {
2022-11-23T01:32:37.7446972Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:37.7447143Z                 'code': ['___check_type_id(ex[0], 107271106909856)'],
2022-11-23T01:32:37.7447348Z                 'obj_weakref': <weakref at 0x7f710697cb30; to 'Tensor' at 0x7f7106789a70>
2022-11-23T01:32:37.7447593Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7447657Z             }
2022-11-23T01:32:37.7447720Z             
2022-11-23T01:32:37.7447788Z  - 
2022-11-23T01:32:37.7447897Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7447959Z             {
2022-11-23T01:32:37.7448132Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7448238Z                 'code': None,
2022-11-23T01:32:37.7448442Z                 'obj_weakref': <weakref at 0x7f710697cb30; to 'Tensor' at 0x7f7106789a70>
2022-11-23T01:32:37.7448687Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7448749Z             }
2022-11-23T01:32:37.7448800Z             
2022-11-23T01:32:37.7448869Z  - 
2022-11-23T01:32:37.7449035Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.7449099Z             {
2022-11-23T01:32:37.7449233Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7449401Z                 'code': ['___check_obj_id(model, 140123405992016)'],
2022-11-23T01:32:37.7449518Z                 'obj_weakref': None
2022-11-23T01:32:37.7449731Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.7449794Z             }
2022-11-23T01:32:37.7449859Z             
2022-11-23T01:32:37.7449926Z  - 
2022-11-23T01:32:37.7450045Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7450106Z             {
2022-11-23T01:32:37.7450230Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7450445Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7450562Z                 'obj_weakref': None
2022-11-23T01:32:37.7450780Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7450842Z             }
2022-11-23T01:32:37.7450904Z             
2022-11-23T01:32:37.7450972Z  - 
2022-11-23T01:32:37.7451103Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.7451153Z             {
2022-11-23T01:32:37.7451270Z                 'guard_types': None,
2022-11-23T01:32:37.7451376Z                 'code': None,
2022-11-23T01:32:37.7451490Z                 'obj_weakref': None
2022-11-23T01:32:37.7451611Z                 'guarded_class': None
2022-11-23T01:32:37.7451672Z             }
2022-11-23T01:32:37.7451722Z             
2022-11-23T01:32:37.7451980Z [2022-11-23 01:23:45,082] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 287
2022-11-23T01:32:37.7452348Z [2022-11-23 01:23:47,640] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bb/cbbme4qoyr2iobd2xunmjorfa7jl7e7ileu2edhyifosjkmsm3p6.py
2022-11-23T01:32:37.7452615Z [2022-11-23 01:23:47,640] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 287
2022-11-23T01:32:37.7452620Z 
2022-11-23T01:32:37.7452713Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7452782Z import torch
2022-11-23T01:32:37.7452852Z import random
2022-11-23T01:32:37.7452967Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7453074Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7453090Z 
2022-11-23T01:32:37.7453155Z aten = torch.ops.aten
2022-11-23T01:32:37.7453290Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7453384Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7453389Z 
2022-11-23T01:32:37.7453393Z 
2022-11-23T01:32:37.7453526Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7453731Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7453848Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.7453948Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.7453997Z {
2022-11-23T01:32:37.7454094Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7454156Z     {
2022-11-23T01:32:37.7454233Z         #pragma omp for 
2022-11-23T01:32:37.7454314Z         for(long i0=0; i0<7; i0+=1)
2022-11-23T01:32:37.7454375Z         {
2022-11-23T01:32:37.7454438Z             {
2022-11-23T01:32:37.7454488Z                 {
2022-11-23T01:32:37.7454579Z                     auto tmp4 = in_ptr0[i0];
2022-11-23T01:32:37.7454714Z                     auto tmp0 = static_cast<float>(0.125);
2022-11-23T01:32:37.7454816Z                     auto tmp1 = static_cast<float>(i0);
2022-11-23T01:32:37.7454907Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:37.7454995Z                     auto tmp3 = tmp2 + tmp0;
2022-11-23T01:32:37.7455081Z                     auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.7455153Z                     out_ptr0[i0] = tmp5;
2022-11-23T01:32:37.7455243Z                 }
2022-11-23T01:32:37.7455307Z             }
2022-11-23T01:32:37.7455368Z         }
2022-11-23T01:32:37.7455429Z     }
2022-11-23T01:32:37.7455488Z }
2022-11-23T01:32:37.7455564Z ''')
2022-11-23T01:32:37.7455569Z 
2022-11-23T01:32:37.7455573Z 
2022-11-23T01:32:37.7455651Z async_compile.wait(globals())
2022-11-23T01:32:37.7455721Z del async_compile
2022-11-23T01:32:37.7455726Z 
2022-11-23T01:32:37.7455794Z def call(args):
2022-11-23T01:32:37.7455862Z     arg0_1, = args
2022-11-23T01:32:37.7455932Z     args.clear()
2022-11-23T01:32:37.7456127Z     buf0 = empty_strided((1, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7456259Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.7456315Z     del arg0_1
2022-11-23T01:32:37.7456385Z     return (buf0, )
2022-11-23T01:32:37.7456391Z 
2022-11-23T01:32:37.7456395Z 
2022-11-23T01:32:37.7456469Z if __name__ == "__main__":
2022-11-23T01:32:37.7456580Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7456709Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7456904Z     arg0_1 = rand_strided((1, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7457010Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.7457015Z 
2022-11-23T01:32:37.7457080Z ok (2.612s)
2022-11-23T01:32:37.7457403Z   test_list_clearing_cpu (__main__.CpuTests) ... [2022-11-23 01:23:47,664] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None
2022-11-23T01:32:37.7457769Z [2022-11-23 01:23:50,240] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rm/crm7eyd62oqrbo5anan3igeh32ireb6srvcllceocwgbexguu7nm.py
2022-11-23T01:32:37.7458031Z [2022-11-23 01:23:50,240] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None
2022-11-23T01:32:37.7458037Z 
2022-11-23T01:32:37.7458130Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7458199Z import torch
2022-11-23T01:32:37.7458271Z import random
2022-11-23T01:32:37.7458384Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7458504Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7458508Z 
2022-11-23T01:32:37.7458585Z aten = torch.ops.aten
2022-11-23T01:32:37.7458704Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7458795Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7458800Z 
2022-11-23T01:32:37.7458804Z 
2022-11-23T01:32:37.7458936Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7459140Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7459257Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.7459359Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.7459457Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.7459516Z {
2022-11-23T01:32:37.7459601Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7459664Z     {
2022-11-23T01:32:37.7459740Z         #pragma omp for 
2022-11-23T01:32:37.7459820Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:37.7459881Z         {
2022-11-23T01:32:37.7460019Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.7460150Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:37.7460221Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.7460312Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.7460405Z         }
2022-11-23T01:32:37.7460499Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.7460583Z         for(long i0=16; i0<25; i0+=1)
2022-11-23T01:32:37.7460644Z         {
2022-11-23T01:32:37.7460715Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.7460794Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:37.7460875Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.7460954Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.7461053Z         }
2022-11-23T01:32:37.7461113Z     }
2022-11-23T01:32:37.7461172Z }
2022-11-23T01:32:37.7461237Z ''')
2022-11-23T01:32:37.7461242Z 
2022-11-23T01:32:37.7461258Z 
2022-11-23T01:32:37.7461334Z async_compile.wait(globals())
2022-11-23T01:32:37.7461406Z del async_compile
2022-11-23T01:32:37.7461411Z 
2022-11-23T01:32:37.7461480Z def call(args):
2022-11-23T01:32:37.7461548Z     x_1, y_1 = args
2022-11-23T01:32:37.7461620Z     args.clear()
2022-11-23T01:32:37.7461814Z     buf0 = empty_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7461971Z     kernel_cpp_0(c_void_p(x_1.data_ptr()), c_void_p(y_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.7462035Z     del x_1
2022-11-23T01:32:37.7462129Z     del y_1
2022-11-23T01:32:37.7462395Z     buf1 = empty_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7462487Z     aten.mm.out(buf0, buf0, out=buf1)
2022-11-23T01:32:37.7462557Z     return (buf1, )
2022-11-23T01:32:37.7462562Z 
2022-11-23T01:32:37.7462569Z 
2022-11-23T01:32:37.7462643Z if __name__ == "__main__":
2022-11-23T01:32:37.7462757Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7462866Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7463057Z     x_1 = rand_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7463242Z     y_1 = rand_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7463351Z     print_performance(lambda: call([x_1, y_1]))
2022-11-23T01:32:37.7463357Z 
2022-11-23T01:32:37.7463422Z ok (2.598s)
2022-11-23T01:32:37.7463721Z   test_log2_cpu (__main__.CpuTests) ... [2022-11-23 01:23:50,252] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7463990Z [2022-11-23 01:23:50,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7464209Z [2022-11-23 01:23:50,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7464538Z [2022-11-23 01:23:50,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.7464815Z [2022-11-23 01:23:50,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.7465138Z [2022-11-23 01:23:50,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7465468Z [2022-11-23 01:23:50,253] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f641edb0, file "inductor/test_torchinductor.py", line 2691> 
2022-11-23T01:32:37.7465567Z  2692           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.7465660Z                2 LOAD_METHOD              1 (log2)
2022-11-23T01:32:37.7465749Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.7465837Z                6 CALL_METHOD              1
2022-11-23T01:32:37.7465934Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.7466012Z               10 LOAD_METHOD              1 (log2)
2022-11-23T01:32:37.7466100Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:37.7466188Z               14 LOAD_CONST               1 (1)
2022-11-23T01:32:37.7466260Z               16 BINARY_ADD
2022-11-23T01:32:37.7466349Z               18 CALL_METHOD              1
2022-11-23T01:32:37.7466435Z               20 LOAD_CONST               2 (2)
2022-11-23T01:32:37.7466561Z               22 BINARY_SUBTRACT
2022-11-23T01:32:37.7466637Z               24 BUILD_TUPLE              2
2022-11-23T01:32:37.7466711Z               26 RETURN_VALUE
2022-11-23T01:32:37.7466771Z  
2022-11-23T01:32:37.7466777Z 
2022-11-23T01:32:37.7467044Z [2022-11-23 01:23:50,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2692
2022-11-23T01:32:37.7467290Z [2022-11-23 01:23:50,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.7467659Z [2022-11-23 01:23:50,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log2 [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.7467977Z [2022-11-23 01:23:50,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method log2 of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.7468329Z [2022-11-23 01:23:50,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method log2 of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.7468577Z [2022-11-23 01:23:50,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.7468964Z [2022-11-23 01:23:50,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log2 [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.7469299Z [2022-11-23 01:23:50,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.7469676Z [2022-11-23 01:23:50,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.7470091Z [2022-11-23 01:23:50,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7470475Z [2022-11-23 01:23:50,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.7470737Z [2022-11-23 01:23:50,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7471054Z [2022-11-23 01:23:50,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7471319Z [2022-11-23 01:23:50,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7471562Z [2022-11-23 01:23:50,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.7471891Z [2022-11-23 01:23:50,267] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f641edb0, file "inductor/test_torchinductor.py", line 2691>
2022-11-23T01:32:37.7472134Z [2022-11-23 01:23:50,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.7472366Z [2022-11-23 01:23:50,267] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7472608Z [2022-11-23 01:23:50,269] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7472855Z [2022-11-23 01:23:50,278] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7473039Z [2022-11-23 01:23:50,278] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7473173Z  __compiled_fn_295 <eval_with_key>.1832 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7473262Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7473486Z call_function, log2, <built-in method log2 of type object at 0x7f71f2abebc0>, (ex_0_,), {}
2022-11-23T01:32:37.7473686Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.7473905Z call_function, log2_1, <built-in method log2 of type object at 0x7f71f2abebc0>, (add,), {}
2022-11-23T01:32:37.7474064Z call_function, sub, <built-in function sub>, (log2_1, 2), {}
2022-11-23T01:32:37.7474164Z output, output, output, ((log2, sub),), {}
2022-11-23T01:32:37.7474169Z 
2022-11-23T01:32:37.7474471Z [2022-11-23 01:23:50,279] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7474565Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7474655Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7474747Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7474835Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7474910Z               8 RETURN_VALUE
2022-11-23T01:32:37.7474915Z 
2022-11-23T01:32:37.7474966Z  
2022-11-23T01:32:37.7475239Z [2022-11-23 01:23:50,279] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7475346Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_295)
2022-11-23T01:32:37.7475434Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7475523Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7475598Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7475688Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7475790Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.7475879Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7475966Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7476047Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.7476147Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7476234Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.7476310Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.7476397Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.7476460Z              26 RETURN_VALUE
2022-11-23T01:32:37.7476465Z 
2022-11-23T01:32:37.7476524Z  
2022-11-23T01:32:37.7476708Z [2022-11-23 01:23:50,281] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7476778Z  - 
2022-11-23T01:32:37.7476895Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7476960Z             {
2022-11-23T01:32:37.7477101Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7477412Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7477531Z                 'obj_weakref': None
2022-11-23T01:32:37.7477753Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7477816Z             }
2022-11-23T01:32:37.7477879Z             
2022-11-23T01:32:37.7477946Z  - 
2022-11-23T01:32:37.7478067Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7478121Z             {
2022-11-23T01:32:37.7478264Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7478370Z                 'code': None,
2022-11-23T01:32:37.7478580Z                 'obj_weakref': <weakref at 0x7f70f2c63a70; to 'Tensor' at 0x7f70f2c63530>
2022-11-23T01:32:37.7478828Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7478894Z             }
2022-11-23T01:32:37.7478956Z             
2022-11-23T01:32:37.7479011Z  - 
2022-11-23T01:32:37.7479139Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.7479201Z             {
2022-11-23T01:32:37.7479335Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7479504Z                 'code': ['___check_obj_id(model, 140123405992016)'],
2022-11-23T01:32:37.7479621Z                 'obj_weakref': None
2022-11-23T01:32:37.7479849Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.7479955Z             }
2022-11-23T01:32:37.7480018Z             
2022-11-23T01:32:37.7480089Z  - 
2022-11-23T01:32:37.7480209Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7480271Z             {
2022-11-23T01:32:37.7480407Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7480622Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7480761Z                 'obj_weakref': None
2022-11-23T01:32:37.7480981Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7481043Z             }
2022-11-23T01:32:37.7481106Z             
2022-11-23T01:32:37.7481173Z  - 
2022-11-23T01:32:37.7481304Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.7481366Z             {
2022-11-23T01:32:37.7481472Z                 'guard_types': None,
2022-11-23T01:32:37.7481577Z                 'code': None,
2022-11-23T01:32:37.7481694Z                 'obj_weakref': None
2022-11-23T01:32:37.7481813Z                 'guarded_class': None
2022-11-23T01:32:37.7481875Z             }
2022-11-23T01:32:37.7481936Z             
2022-11-23T01:32:37.7482194Z [2022-11-23 01:23:50,299] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 288
2022-11-23T01:32:37.7482556Z [2022-11-23 01:23:52,886] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uw/cuwavfbvseiejbt74mjdpyrk6zd5xsxpydzgbab6ycuvz4nzibba.py
2022-11-23T01:32:37.7482817Z [2022-11-23 01:23:52,887] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 288
2022-11-23T01:32:37.7482824Z 
2022-11-23T01:32:37.7482918Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7482985Z import torch
2022-11-23T01:32:37.7483053Z import random
2022-11-23T01:32:37.7483165Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7483285Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7483293Z 
2022-11-23T01:32:37.7483370Z aten = torch.ops.aten
2022-11-23T01:32:37.7483490Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7483580Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7483585Z 
2022-11-23T01:32:37.7483589Z 
2022-11-23T01:32:37.7483723Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7483925Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7484046Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.7484144Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.7484240Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.7484299Z {
2022-11-23T01:32:37.7484384Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7484445Z     {
2022-11-23T01:32:37.7484521Z         #pragma omp for 
2022-11-23T01:32:37.7484601Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.7484666Z         {
2022-11-23T01:32:37.7484804Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.7484885Z             auto tmp1 = tmp0.log();
2022-11-23T01:32:37.7485012Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(1.4426950408889634));
2022-11-23T01:32:37.7485096Z             auto tmp3 = tmp1 * tmp2;
2022-11-23T01:32:37.7485225Z             auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.7485311Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:32:37.7485392Z             auto tmp6 = tmp5.log();
2022-11-23T01:32:37.7485474Z             auto tmp7 = tmp6 * tmp2;
2022-11-23T01:32:37.7485606Z             auto tmp8 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:37.7485715Z             auto tmp9 = tmp7 - tmp8;
2022-11-23T01:32:37.7485806Z             tmp3.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.7485897Z             tmp9.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.7485958Z         }
2022-11-23T01:32:37.7486085Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.7486168Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:37.7486229Z         {
2022-11-23T01:32:37.7486300Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.7486388Z             auto tmp1 = std::log(tmp0);
2022-11-23T01:32:37.7486497Z             auto tmp2 = static_cast<float>(1.4426950408889634);
2022-11-23T01:32:37.7486579Z             auto tmp3 = tmp1 * tmp2;
2022-11-23T01:32:37.7486707Z             auto tmp4 = static_cast<float>(1);
2022-11-23T01:32:37.7486790Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:32:37.7486881Z             auto tmp6 = std::log(tmp5);
2022-11-23T01:32:37.7486950Z             auto tmp7 = tmp6 * tmp2;
2022-11-23T01:32:37.7487046Z             auto tmp8 = static_cast<float>(2);
2022-11-23T01:32:37.7487167Z             auto tmp9 = tmp7 - tmp8;
2022-11-23T01:32:37.7487245Z             out_ptr0[i0] = tmp3;
2022-11-23T01:32:37.7487323Z             out_ptr1[i0] = tmp9;
2022-11-23T01:32:37.7487386Z         }
2022-11-23T01:32:37.7487446Z     }
2022-11-23T01:32:37.7487493Z }
2022-11-23T01:32:37.7487570Z ''')
2022-11-23T01:32:37.7487576Z 
2022-11-23T01:32:37.7487580Z 
2022-11-23T01:32:37.7487667Z async_compile.wait(globals())
2022-11-23T01:32:37.7487739Z del async_compile
2022-11-23T01:32:37.7487744Z 
2022-11-23T01:32:37.7487814Z def call(args):
2022-11-23T01:32:37.7487882Z     arg0_1, = args
2022-11-23T01:32:37.7487952Z     args.clear()
2022-11-23T01:32:37.7488147Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7488324Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7488486Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7488554Z     del arg0_1
2022-11-23T01:32:37.7488629Z     return (buf0, buf1, )
2022-11-23T01:32:37.7488634Z 
2022-11-23T01:32:37.7488639Z 
2022-11-23T01:32:37.7488713Z if __name__ == "__main__":
2022-11-23T01:32:37.7488827Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7488948Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7489139Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7489233Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.7489238Z 
2022-11-23T01:32:37.7489303Z ok (2.649s)
2022-11-23T01:32:37.7489611Z   test_log_fp64_cpu (__main__.CpuTests) ... [2022-11-23 01:23:52,901] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7489881Z [2022-11-23 01:23:52,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7490097Z [2022-11-23 01:23:52,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7490346Z [2022-11-23 01:23:52,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.7490632Z [2022-11-23 01:23:52,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.7490958Z [2022-11-23 01:23:52,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7491281Z [2022-11-23 01:23:52,902] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6423030, file "inductor/test_torchinductor.py", line 2709> 
2022-11-23T01:32:37.7491368Z  2710           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.7491460Z                2 LOAD_METHOD              1 (log)
2022-11-23T01:32:37.7491551Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.7491640Z                6 CALL_METHOD              1
2022-11-23T01:32:37.7491732Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.7491823Z               10 LOAD_METHOD              2 (log2)
2022-11-23T01:32:37.7491910Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:37.7492015Z               14 CALL_METHOD              1
2022-11-23T01:32:37.7492103Z               16 BUILD_TUPLE              2
2022-11-23T01:32:37.7492179Z               18 RETURN_VALUE
2022-11-23T01:32:37.7492239Z  
2022-11-23T01:32:37.7492244Z 
2022-11-23T01:32:37.7492510Z [2022-11-23 01:23:52,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2710
2022-11-23T01:32:37.7492755Z [2022-11-23 01:23:52,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.7493116Z [2022-11-23 01:23:52,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.7493435Z [2022-11-23 01:23:52,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method log of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.7493785Z [2022-11-23 01:23:52,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method log of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.7494021Z [2022-11-23 01:23:52,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.7494412Z [2022-11-23 01:23:52,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log2 [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.7494757Z [2022-11-23 01:23:52,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.7495140Z [2022-11-23 01:23:52,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method log2 of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.7495407Z [2022-11-23 01:23:52,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7495655Z [2022-11-23 01:23:52,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.7495982Z [2022-11-23 01:23:52,910] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6423030, file "inductor/test_torchinductor.py", line 2709>
2022-11-23T01:32:37.7496227Z [2022-11-23 01:23:52,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.7496462Z [2022-11-23 01:23:52,910] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7496714Z [2022-11-23 01:23:52,912] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7496959Z [2022-11-23 01:23:52,919] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7497133Z [2022-11-23 01:23:52,919] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7497271Z  __compiled_fn_296 <eval_with_key>.1838 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7497359Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7497580Z call_function, log, <built-in method log of type object at 0x7f71f2abebc0>, (ex_0_,), {}
2022-11-23T01:32:37.7497802Z call_function, log2, <built-in method log2 of type object at 0x7f71f2abebc0>, (ex_0_,), {}
2022-11-23T01:32:37.7497902Z output, output, output, ((log, log2),), {}
2022-11-23T01:32:37.7497910Z 
2022-11-23T01:32:37.7498184Z [2022-11-23 01:23:52,920] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7498276Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7498353Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7498446Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7498535Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7498646Z               8 RETURN_VALUE
2022-11-23T01:32:37.7498652Z 
2022-11-23T01:32:37.7498713Z  
2022-11-23T01:32:37.7498984Z [2022-11-23 01:23:52,920] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7499090Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_296)
2022-11-23T01:32:37.7499179Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7499256Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7499361Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7499450Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7499553Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.7499656Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7499744Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7499820Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.7499909Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7500000Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.7500074Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.7500162Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.7500236Z              26 RETURN_VALUE
2022-11-23T01:32:37.7500242Z 
2022-11-23T01:32:37.7500301Z  
2022-11-23T01:32:37.7500480Z [2022-11-23 01:23:52,922] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7500537Z  - 
2022-11-23T01:32:37.7500656Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7500720Z             {
2022-11-23T01:32:37.7500859Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7501044Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7501161Z                 'obj_weakref': None
2022-11-23T01:32:37.7501382Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7501434Z             }
2022-11-23T01:32:37.7501498Z             
2022-11-23T01:32:37.7501568Z  - 
2022-11-23T01:32:37.7501690Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7501751Z             {
2022-11-23T01:32:37.7501891Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7501997Z                 'code': None,
2022-11-23T01:32:37.7502192Z                 'obj_weakref': <weakref at 0x7f7106e10b30; to 'Tensor' at 0x7f7106e34ef0>
2022-11-23T01:32:37.7502440Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7502503Z             }
2022-11-23T01:32:37.7502566Z             
2022-11-23T01:32:37.7502634Z  - 
2022-11-23T01:32:37.7502763Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.7502826Z             {
2022-11-23T01:32:37.7502946Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7503114Z                 'code': ['___check_obj_id(model, 140124018223296)'],
2022-11-23T01:32:37.7503232Z                 'obj_weakref': None
2022-11-23T01:32:37.7503462Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.7503525Z             }
2022-11-23T01:32:37.7503589Z             
2022-11-23T01:32:37.7503656Z  - 
2022-11-23T01:32:37.7503764Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7503826Z             {
2022-11-23T01:32:37.7503959Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7504175Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7504292Z                 'obj_weakref': None
2022-11-23T01:32:37.7504588Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7504652Z             }
2022-11-23T01:32:37.7504701Z             
2022-11-23T01:32:37.7504774Z  - 
2022-11-23T01:32:37.7504907Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.7504968Z             {
2022-11-23T01:32:37.7505086Z                 'guard_types': None,
2022-11-23T01:32:37.7505229Z                 'code': None,
2022-11-23T01:32:37.7505345Z                 'obj_weakref': None
2022-11-23T01:32:37.7505452Z                 'guarded_class': None
2022-11-23T01:32:37.7505513Z             }
2022-11-23T01:32:37.7505575Z             
2022-11-23T01:32:37.7505830Z [2022-11-23 01:23:52,935] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 289
2022-11-23T01:32:37.7506235Z [2022-11-23 01:23:55,466] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gm/cgm3z2wjzjjanheutm65vldhvfuzfqkukcs2zdy426s6dl3hq3bm.py
2022-11-23T01:32:37.7506499Z [2022-11-23 01:23:55,466] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 289
2022-11-23T01:32:37.7506505Z 
2022-11-23T01:32:37.7506596Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7506664Z import torch
2022-11-23T01:32:37.7506720Z import random
2022-11-23T01:32:37.7506833Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7506955Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7506960Z 
2022-11-23T01:32:37.7507037Z aten = torch.ops.aten
2022-11-23T01:32:37.7507170Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7507261Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7507266Z 
2022-11-23T01:32:37.7507271Z 
2022-11-23T01:32:37.7507401Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7507607Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7507717Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:32:37.7507818Z                        double* __restrict__ out_ptr0,
2022-11-23T01:32:37.7507915Z                        double* __restrict__ out_ptr1)
2022-11-23T01:32:37.7507976Z {
2022-11-23T01:32:37.7508072Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7508133Z     {
2022-11-23T01:32:37.7508209Z         #pragma omp for 
2022-11-23T01:32:37.7508282Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:37.7508344Z         {
2022-11-23T01:32:37.7508407Z             {
2022-11-23T01:32:37.7508471Z                 {
2022-11-23T01:32:37.7508562Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.7508663Z                     auto tmp1 = std::log(tmp0);
2022-11-23T01:32:37.7508776Z                     auto tmp2 = static_cast<double>(1.4426950408889634);
2022-11-23T01:32:37.7508857Z                     auto tmp3 = tmp1 * tmp2;
2022-11-23T01:32:37.7508942Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:32:37.7509024Z                     out_ptr1[i0] = tmp3;
2022-11-23T01:32:37.7509087Z                 }
2022-11-23T01:32:37.7509150Z             }
2022-11-23T01:32:37.7509211Z         }
2022-11-23T01:32:37.7509260Z     }
2022-11-23T01:32:37.7509319Z }
2022-11-23T01:32:37.7509396Z ''')
2022-11-23T01:32:37.7509401Z 
2022-11-23T01:32:37.7509405Z 
2022-11-23T01:32:37.7509493Z async_compile.wait(globals())
2022-11-23T01:32:37.7509566Z del async_compile
2022-11-23T01:32:37.7509571Z 
2022-11-23T01:32:37.7509640Z def call(args):
2022-11-23T01:32:37.7509708Z     arg0_1, = args
2022-11-23T01:32:37.7509778Z     args.clear()
2022-11-23T01:32:37.7509962Z     buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T01:32:37.7510157Z     buf1 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T01:32:37.7510324Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7510393Z     del arg0_1
2022-11-23T01:32:37.7510469Z     return (buf0, buf1, )
2022-11-23T01:32:37.7510474Z 
2022-11-23T01:32:37.7510479Z 
2022-11-23T01:32:37.7510552Z if __name__ == "__main__":
2022-11-23T01:32:37.7510664Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7510785Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7510969Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T01:32:37.7511104Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.7511109Z 
2022-11-23T01:32:37.7511174Z ok (2.581s)
2022-11-23T01:32:37.7511486Z   test_log_softmax_cpu (__main__.CpuTests) ... [2022-11-23 01:23:55,484] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7511754Z [2022-11-23 01:23:55,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7512036Z [2022-11-23 01:23:55,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7512292Z [2022-11-23 01:23:55,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.7512577Z [2022-11-23 01:23:55,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.7512898Z [2022-11-23 01:23:55,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7513213Z [2022-11-23 01:23:55,485] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f647b660, file "inductor/test_torchinductor.py", line 1236> 
2022-11-23T01:32:37.7513307Z  1237           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:37.7513407Z                2 LOAD_METHOD              1 (log_softmax)
2022-11-23T01:32:37.7513497Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.7513588Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.7513662Z                8 BINARY_ADD
2022-11-23T01:32:37.7513798Z               10 LOAD_CONST               1 (-1)
2022-11-23T01:32:37.7513873Z               12 CALL_METHOD              2
2022-11-23T01:32:37.7513963Z               14 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:37.7514062Z               16 LOAD_METHOD              1 (log_softmax)
2022-11-23T01:32:37.7514151Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:37.7514240Z               20 LOAD_CONST               2 (0)
2022-11-23T01:32:37.7514325Z               22 CALL_METHOD              2
2022-11-23T01:32:37.7514411Z               24 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:37.7514507Z               26 LOAD_METHOD              1 (log_softmax)
2022-11-23T01:32:37.7514579Z               28 LOAD_FAST                1 (b)
2022-11-23T01:32:37.7514664Z               30 LOAD_CONST               3 (1)
2022-11-23T01:32:37.7514753Z               32 CALL_METHOD              2
2022-11-23T01:32:37.7514841Z               34 BUILD_TUPLE              3
2022-11-23T01:32:37.7514915Z               36 RETURN_VALUE
2022-11-23T01:32:37.7514976Z  
2022-11-23T01:32:37.7514981Z 
2022-11-23T01:32:37.7515249Z [2022-11-23 01:23:55,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1237
2022-11-23T01:32:37.7515449Z [2022-11-23 01:23:55,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:32:37.7515861Z [2022-11-23 01:23:55,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log_softmax [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:37.7516158Z [2022-11-23 01:23:55,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function log_softmax at 0x7f71ce642950>)]
2022-11-23T01:32:37.7516480Z [2022-11-23 01:23:55,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<function log_softmax at 0x7f71ce642950>), TensorVariable()]
2022-11-23T01:32:37.7516834Z [2022-11-23 01:23:55,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<function log_softmax at 0x7f71ce642950>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7517276Z [2022-11-23 01:23:55,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<function log_softmax at 0x7f71ce642950>), TensorVariable()]
2022-11-23T01:32:37.7517641Z [2022-11-23 01:23:55,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<function log_softmax at 0x7f71ce642950>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7517938Z [2022-11-23 01:23:55,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()]
2022-11-23T01:32:37.7518411Z [2022-11-23 01:23:55,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log_softmax [TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:37.7518731Z [2022-11-23 01:23:55,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<function log_softmax at 0x7f71ce642950>)]
2022-11-23T01:32:37.7519078Z [2022-11-23 01:23:55,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<function log_softmax at 0x7f71ce642950>), TensorVariable()]
2022-11-23T01:32:37.7519475Z [2022-11-23 01:23:55,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<function log_softmax at 0x7f71ce642950>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7519733Z [2022-11-23 01:23:55,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7520204Z [2022-11-23 01:23:55,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log_softmax [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:37.7520552Z [2022-11-23 01:23:55,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<function log_softmax at 0x7f71ce642950>)]
2022-11-23T01:32:37.7520928Z [2022-11-23 01:23:55,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<function log_softmax at 0x7f71ce642950>), TensorVariable()]
2022-11-23T01:32:37.7521353Z [2022-11-23 01:23:55,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<function log_softmax at 0x7f71ce642950>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7521652Z [2022-11-23 01:23:55,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7521898Z [2022-11-23 01:23:55,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.7522224Z [2022-11-23 01:23:55,523] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f647b660, file "inductor/test_torchinductor.py", line 1236>
2022-11-23T01:32:37.7522467Z [2022-11-23 01:23:55,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.7522699Z [2022-11-23 01:23:55,523] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7522952Z [2022-11-23 01:23:55,526] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7523200Z [2022-11-23 01:23:55,554] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7523374Z [2022-11-23 01:23:55,554] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7523508Z  __compiled_fn_297 <eval_with_key>.1844 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7523598Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7523683Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.7523860Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.7524069Z call_function, log_softmax, <function log_softmax at 0x7f71ce642950>, (add, -1), {}
2022-11-23T01:32:37.7524209Z call_function, log_softmax_1, <function log_softmax at 0x7f71ce642950>, (ex_0_, 0), {}
2022-11-23T01:32:37.7524350Z call_function, log_softmax_2, <function log_softmax at 0x7f71ce642950>, (ex_1_, 1), {}
2022-11-23T01:32:37.7524501Z output, output, output, ((log_softmax, log_softmax_1, log_softmax_2),), {}
2022-11-23T01:32:37.7524507Z 
2022-11-23T01:32:37.7524781Z [2022-11-23 01:23:55,555] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7524873Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7524963Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7531378Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7531515Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7531594Z               8 RETURN_VALUE
2022-11-23T01:32:37.7531600Z 
2022-11-23T01:32:37.7531662Z  
2022-11-23T01:32:37.7531966Z [2022-11-23 01:23:55,555] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7532075Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_297)
2022-11-23T01:32:37.7532166Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7532259Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7532335Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7532422Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7532511Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.7532574Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.7532664Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.7532770Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.7532873Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7532963Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7533040Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.7533141Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7533215Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.7533288Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.7533387Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7533474Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:37.7533549Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.7533637Z              36 BUILD_TUPLE              3
2022-11-23T01:32:37.7533713Z              38 RETURN_VALUE
2022-11-23T01:32:37.7533718Z 
2022-11-23T01:32:37.7533778Z  
2022-11-23T01:32:37.7533952Z [2022-11-23 01:23:55,557] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7534025Z  - 
2022-11-23T01:32:37.7534144Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7534207Z             {
2022-11-23T01:32:37.7534346Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7534532Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.7534651Z                 'obj_weakref': None
2022-11-23T01:32:37.7534860Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7534927Z             }
2022-11-23T01:32:37.7534989Z             
2022-11-23T01:32:37.7535056Z  - 
2022-11-23T01:32:37.7535178Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7535240Z             {
2022-11-23T01:32:37.7535368Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7535472Z                 'code': None,
2022-11-23T01:32:37.7535677Z                 'obj_weakref': <weakref at 0x7f7106c36950; to 'Tensor' at 0x7f71c2212bf0>
2022-11-23T01:32:37.7535928Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7535992Z             }
2022-11-23T01:32:37.7536054Z             
2022-11-23T01:32:37.7536121Z  - 
2022-11-23T01:32:37.7536230Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.7536291Z             {
2022-11-23T01:32:37.7536432Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7536536Z                 'code': None,
2022-11-23T01:32:37.7536740Z                 'obj_weakref': <weakref at 0x7f71060e7350; to 'Tensor' at 0x7f7106707230>
2022-11-23T01:32:37.7537027Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7537089Z             }
2022-11-23T01:32:37.7537151Z             
2022-11-23T01:32:37.7537206Z  - 
2022-11-23T01:32:37.7537334Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.7537396Z             {
2022-11-23T01:32:37.7537559Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7537729Z                 'code': ['___check_obj_id(model, 140126547081984)'],
2022-11-23T01:32:37.7537846Z                 'obj_weakref': None
2022-11-23T01:32:37.7538072Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.7538123Z             }
2022-11-23T01:32:37.7538186Z             
2022-11-23T01:32:37.7538255Z  - 
2022-11-23T01:32:37.7538376Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7538440Z             {
2022-11-23T01:32:37.7538577Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7538780Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7538898Z                 'obj_weakref': None
2022-11-23T01:32:37.7539118Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7539181Z             }
2022-11-23T01:32:37.7539243Z             
2022-11-23T01:32:37.7539312Z  - 
2022-11-23T01:32:37.7539435Z             global 'F' FUNCTION_MATCH
2022-11-23T01:32:37.7539485Z             {
2022-11-23T01:32:37.7539603Z                 'guard_types': None,
2022-11-23T01:32:37.7539706Z                 'code': None,
2022-11-23T01:32:37.7539821Z                 'obj_weakref': None
2022-11-23T01:32:37.7539939Z                 'guarded_class': None
2022-11-23T01:32:37.7540001Z             }
2022-11-23T01:32:37.7540063Z             
2022-11-23T01:32:37.7540313Z [2022-11-23 01:23:55,612] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 290
2022-11-23T01:32:37.7540680Z [2022-11-23 01:23:58,411] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nv/cnvozfbdw25redosb7amibc35bz3gvfvs252bke5z5mj7c2xoouu.py
2022-11-23T01:32:37.7540943Z [2022-11-23 01:23:58,411] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 290
2022-11-23T01:32:37.7540949Z 
2022-11-23T01:32:37.7541044Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7541113Z import torch
2022-11-23T01:32:37.7541181Z import random
2022-11-23T01:32:37.7541297Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7541416Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7541421Z 
2022-11-23T01:32:37.7541487Z aten = torch.ops.aten
2022-11-23T01:32:37.7541618Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7541708Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7541716Z 
2022-11-23T01:32:37.7541720Z 
2022-11-23T01:32:37.7541852Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7542057Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7542175Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.7542278Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.7542377Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.7542463Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.7542557Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:37.7542649Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:37.7542739Z                        float* __restrict__ out_ptr4,
2022-11-23T01:32:37.7542830Z                        float* __restrict__ out_ptr5,
2022-11-23T01:32:37.7542921Z                        float* __restrict__ out_ptr6,
2022-11-23T01:32:37.7543010Z                        float* __restrict__ out_ptr7,
2022-11-23T01:32:37.7543132Z                        float* __restrict__ out_ptr8)
2022-11-23T01:32:37.7543179Z {
2022-11-23T01:32:37.7543277Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7543338Z     {
2022-11-23T01:32:37.7543417Z         #pragma omp for 
2022-11-23T01:32:37.7543497Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.7543560Z         {
2022-11-23T01:32:37.7543610Z             {
2022-11-23T01:32:37.7543673Z                 {
2022-11-23T01:32:37.7543949Z                     float tmp3 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.7544042Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:37.7544109Z                     {
2022-11-23T01:32:37.7544178Z                         {
2022-11-23T01:32:37.7544281Z                             auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:37.7544371Z                             auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:32:37.7544545Z                             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.7544655Z                             tmp3 = std::max(tmp3, tmp2);
2022-11-23T01:32:37.7544724Z                         }
2022-11-23T01:32:37.7544791Z                     }
2022-11-23T01:32:37.7544876Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:37.7544942Z                 }
2022-11-23T01:32:37.7544991Z             }
2022-11-23T01:32:37.7545056Z         }
2022-11-23T01:32:37.7545134Z         #pragma omp for 
2022-11-23T01:32:37.7545217Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.7545281Z         {
2022-11-23T01:32:37.7545349Z             {
2022-11-23T01:32:37.7545413Z                 {
2022-11-23T01:32:37.7545479Z                     float tmp6 = 0;
2022-11-23T01:32:37.7545697Z                     float tmp7 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.7545788Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:37.7545856Z                     {
2022-11-23T01:32:37.7545925Z                         {
2022-11-23T01:32:37.7546030Z                             auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:37.7546134Z                             auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:32:37.7546218Z                             auto tmp3 = out_ptr0[i0];
2022-11-23T01:32:37.7546313Z                             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.7546456Z                             auto tmp4 = tmp2 - tmp3;
2022-11-23T01:32:37.7546557Z                             auto tmp5 = std::exp(tmp4);
2022-11-23T01:32:37.7546641Z                             tmp6 += tmp5;
2022-11-23T01:32:37.7546743Z                             tmp7 = std::max(tmp7, tmp1);
2022-11-23T01:32:37.7546810Z                         }
2022-11-23T01:32:37.7546877Z                     }
2022-11-23T01:32:37.7546948Z                     out_ptr1[i0] = tmp6;
2022-11-23T01:32:37.7547031Z                     out_ptr2[i0] = tmp7;
2022-11-23T01:32:37.7547096Z                 }
2022-11-23T01:32:37.7547161Z             }
2022-11-23T01:32:37.7547226Z         }
2022-11-23T01:32:37.7547302Z         #pragma omp for 
2022-11-23T01:32:37.7547369Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.7547430Z         {
2022-11-23T01:32:37.7547492Z             {
2022-11-23T01:32:37.7547556Z                 {
2022-11-23T01:32:37.7547766Z                     float tmp1 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.7547857Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:37.7547922Z                     {
2022-11-23T01:32:37.7547979Z                         {
2022-11-23T01:32:37.7548083Z                             auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T01:32:37.7548185Z                             tmp1 = std::max(tmp1, tmp0);
2022-11-23T01:32:37.7548253Z                         }
2022-11-23T01:32:37.7548318Z                     }
2022-11-23T01:32:37.7548400Z                     out_ptr3[i0] = tmp1;
2022-11-23T01:32:37.7548464Z                 }
2022-11-23T01:32:37.7548513Z             }
2022-11-23T01:32:37.7548573Z         }
2022-11-23T01:32:37.7548685Z         #pragma omp for 
2022-11-23T01:32:37.7548763Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.7548826Z         {
2022-11-23T01:32:37.7548888Z             {
2022-11-23T01:32:37.7548951Z                 {
2022-11-23T01:32:37.7549017Z                     float tmp4 = 0;
2022-11-23T01:32:37.7549106Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:37.7549171Z                     {
2022-11-23T01:32:37.7549237Z                         {
2022-11-23T01:32:37.7549370Z                             auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T01:32:37.7549467Z                             auto tmp1 = out_ptr3[i0];
2022-11-23T01:32:37.7549610Z                             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.7549699Z                             auto tmp3 = std::exp(tmp2);
2022-11-23T01:32:37.7549780Z                             tmp4 += tmp3;
2022-11-23T01:32:37.7549847Z                         }
2022-11-23T01:32:37.7549912Z                     }
2022-11-23T01:32:37.7549997Z                     out_ptr4[i0] = tmp4;
2022-11-23T01:32:37.7550060Z                 }
2022-11-23T01:32:37.7550123Z             }
2022-11-23T01:32:37.7550172Z         }
2022-11-23T01:32:37.7550247Z         #pragma omp for 
2022-11-23T01:32:37.7550325Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.7550387Z         {
2022-11-23T01:32:37.7550451Z             {
2022-11-23T01:32:37.7550514Z                 {
2022-11-23T01:32:37.7550580Z                     float tmp4 = 0;
2022-11-23T01:32:37.7550672Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:37.7550737Z                     {
2022-11-23T01:32:37.7550803Z                         {
2022-11-23T01:32:37.7550904Z                             auto tmp0 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:32:37.7551000Z                             auto tmp1 = out_ptr2[i0];
2022-11-23T01:32:37.7551144Z                             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.7551233Z                             auto tmp3 = std::exp(tmp2);
2022-11-23T01:32:37.7551315Z                             tmp4 += tmp3;
2022-11-23T01:32:37.7551381Z                         }
2022-11-23T01:32:37.7551446Z                     }
2022-11-23T01:32:37.7551530Z                     out_ptr5[i0] = tmp4;
2022-11-23T01:32:37.7551594Z                 }
2022-11-23T01:32:37.7551656Z             }
2022-11-23T01:32:37.7551706Z         }
2022-11-23T01:32:37.7551780Z         #pragma omp for 
2022-11-23T01:32:37.7551858Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.7551922Z         {
2022-11-23T01:32:37.7552001Z             #pragma GCC ivdep
2022-11-23T01:32:37.7552083Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:37.7552147Z             {
2022-11-23T01:32:37.7552198Z                 {
2022-11-23T01:32:37.7552264Z                     {
2022-11-23T01:32:37.7552363Z                         auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:37.7552465Z                         auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:32:37.7552561Z                         auto tmp3 = out_ptr0[i0];
2022-11-23T01:32:37.7552657Z                         auto tmp5 = out_ptr1[i0];
2022-11-23T01:32:37.7552749Z                         auto tmp8 = out_ptr3[i1];
2022-11-23T01:32:37.7552830Z                         auto tmp10 = out_ptr4[i1];
2022-11-23T01:32:37.7552923Z                         auto tmp13 = out_ptr2[i0];
2022-11-23T01:32:37.7553015Z                         auto tmp15 = out_ptr5[i0];
2022-11-23T01:32:37.7553111Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.7553252Z                         auto tmp4 = tmp2 - tmp3;
2022-11-23T01:32:37.7553352Z                         auto tmp6 = std::log(tmp5);
2022-11-23T01:32:37.7553492Z                         auto tmp7 = tmp4 - tmp6;
2022-11-23T01:32:37.7553616Z                         auto tmp9 = tmp0 - tmp8;
2022-11-23T01:32:37.7553719Z                         auto tmp11 = std::log(tmp10);
2022-11-23T01:32:37.7553860Z                         auto tmp12 = tmp9 - tmp11;
2022-11-23T01:32:37.7554000Z                         auto tmp14 = tmp1 - tmp13;
2022-11-23T01:32:37.7554132Z                         auto tmp16 = std::log(tmp15);
2022-11-23T01:32:37.7554274Z                         auto tmp17 = tmp14 - tmp16;
2022-11-23T01:32:37.7554367Z                         out_ptr6[i1 + (8*i0)] = tmp7;
2022-11-23T01:32:37.7554463Z                         out_ptr7[i1 + (8*i0)] = tmp12;
2022-11-23T01:32:37.7554543Z                         out_ptr8[i1 + (8*i0)] = tmp17;
2022-11-23T01:32:37.7554656Z                     }
2022-11-23T01:32:37.7554723Z                 }
2022-11-23T01:32:37.7554786Z             }
2022-11-23T01:32:37.7554849Z         }
2022-11-23T01:32:37.7554911Z     }
2022-11-23T01:32:37.7554958Z }
2022-11-23T01:32:37.7555039Z ''')
2022-11-23T01:32:37.7555046Z 
2022-11-23T01:32:37.7555050Z 
2022-11-23T01:32:37.7555141Z async_compile.wait(globals())
2022-11-23T01:32:37.7555215Z del async_compile
2022-11-23T01:32:37.7555219Z 
2022-11-23T01:32:37.7555289Z def call(args):
2022-11-23T01:32:37.7555366Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.7555441Z     args.clear()
2022-11-23T01:32:37.7555637Z     buf0 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7555817Z     buf1 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7556005Z     buf4 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7556191Z     buf2 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7556378Z     buf3 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7556565Z     buf5 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7556748Z     buf6 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7556931Z     buf7 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7557240Z     buf8 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7557585Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()))
2022-11-23T01:32:37.7557659Z     del arg0_1
2022-11-23T01:32:37.7557727Z     del arg1_1
2022-11-23T01:32:37.7557813Z     return (buf6, buf7, buf8, )
2022-11-23T01:32:37.7557818Z 
2022-11-23T01:32:37.7557824Z 
2022-11-23T01:32:37.7557901Z if __name__ == "__main__":
2022-11-23T01:32:37.7558018Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7558145Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7558340Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7558521Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7558636Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.7558643Z 
2022-11-23T01:32:37.7558711Z ok (2.944s)
2022-11-23T01:32:37.7559022Z   test_logsumexp_cpu (__main__.CpuTests) ... [2022-11-23 01:23:58,428] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7559295Z [2022-11-23 01:23:58,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7559517Z [2022-11-23 01:23:58,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7559772Z [2022-11-23 01:23:58,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.7560057Z [2022-11-23 01:23:58,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.7560379Z [2022-11-23 01:23:58,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7560769Z [2022-11-23 01:23:58,429] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f641eed0, file "inductor/test_torchinductor.py", line 2700> 
2022-11-23T01:32:37.7560853Z  2701           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.7560953Z                2 LOAD_METHOD              1 (logsumexp)
2022-11-23T01:32:37.7561046Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.7561221Z                6 LOAD_CONST               1 (-1)
2022-11-23T01:32:37.7561315Z                8 CALL_METHOD              2
2022-11-23T01:32:37.7561408Z               10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.7561508Z               12 LOAD_METHOD              1 (logsumexp)
2022-11-23T01:32:37.7561585Z               14 LOAD_FAST                0 (x)
2022-11-23T01:32:37.7561673Z               16 LOAD_CONST               2 (0)
2022-11-23T01:32:37.7561762Z               18 CALL_METHOD              2
2022-11-23T01:32:37.7561849Z               20 LOAD_CONST               3 (2)
2022-11-23T01:32:37.7561935Z               22 BINARY_SUBTRACT
2022-11-23T01:32:37.7562024Z               24 BUILD_TUPLE              2
2022-11-23T01:32:37.7562102Z               26 RETURN_VALUE
2022-11-23T01:32:37.7562149Z  
2022-11-23T01:32:37.7562168Z 
2022-11-23T01:32:37.7562426Z [2022-11-23 01:23:58,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2701
2022-11-23T01:32:37.7562649Z [2022-11-23 01:23:58,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.7563022Z [2022-11-23 01:23:58,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logsumexp [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.7563349Z [2022-11-23 01:23:58,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method logsumexp of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.7563707Z [2022-11-23 01:23:58,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method logsumexp of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.7564109Z [2022-11-23 01:23:58,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method logsumexp of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7564359Z [2022-11-23 01:23:58,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.7564759Z [2022-11-23 01:23:58,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logsumexp [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.7565112Z [2022-11-23 01:23:58,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method logsumexp of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.7565494Z [2022-11-23 01:23:58,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<built-in method logsumexp of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.7565923Z [2022-11-23 01:23:58,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method logsumexp of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7566188Z [2022-11-23 01:23:58,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7566491Z [2022-11-23 01:23:58,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7566756Z [2022-11-23 01:23:58,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7567000Z [2022-11-23 01:23:58,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.7567363Z [2022-11-23 01:23:58,463] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f641eed0, file "inductor/test_torchinductor.py", line 2700>
2022-11-23T01:32:37.7567605Z [2022-11-23 01:23:58,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.7567839Z [2022-11-23 01:23:58,464] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7568117Z [2022-11-23 01:23:58,466] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7568368Z [2022-11-23 01:23:58,492] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7568554Z [2022-11-23 01:23:58,493] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7568674Z  __compiled_fn_298 <eval_with_key>.1850 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7568763Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7569011Z call_function, logsumexp, <built-in method logsumexp of type object at 0x7f71f2abebc0>, (ex_0_, -1), {}
2022-11-23T01:32:37.7569260Z call_function, logsumexp_1, <built-in method logsumexp of type object at 0x7f71f2abebc0>, (ex_0_, 0), {}
2022-11-23T01:32:37.7569441Z call_function, sub, <built-in function sub>, (logsumexp_1, 2), {}
2022-11-23T01:32:37.7569551Z output, output, output, ((logsumexp, sub),), {}
2022-11-23T01:32:37.7569557Z 
2022-11-23T01:32:37.7569834Z [2022-11-23 01:23:58,493] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7569929Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7570006Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7570097Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7570186Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7570261Z               8 RETURN_VALUE
2022-11-23T01:32:37.7570269Z 
2022-11-23T01:32:37.7570328Z  
2022-11-23T01:32:37.7570599Z [2022-11-23 01:23:58,493] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7570736Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_298)
2022-11-23T01:32:37.7570825Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7570901Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7570978Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7571066Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7571168Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.7571268Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7571357Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7571434Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.7571520Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7571606Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.7571683Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.7571771Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.7571847Z              26 RETURN_VALUE
2022-11-23T01:32:37.7571852Z 
2022-11-23T01:32:37.7571910Z  
2022-11-23T01:32:37.7572090Z [2022-11-23 01:23:58,495] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7572146Z  - 
2022-11-23T01:32:37.7572264Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7572328Z             {
2022-11-23T01:32:37.7572469Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7572654Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7572771Z                 'obj_weakref': None
2022-11-23T01:32:37.7572994Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7573057Z             }
2022-11-23T01:32:37.7573108Z             
2022-11-23T01:32:37.7573175Z  - 
2022-11-23T01:32:37.7573331Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7573394Z             {
2022-11-23T01:32:37.7573534Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7573640Z                 'code': None,
2022-11-23T01:32:37.7573835Z                 'obj_weakref': <weakref at 0x7f7106d8fa70; to 'Tensor' at 0x7f7106e61890>
2022-11-23T01:32:37.7574110Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7574176Z             }
2022-11-23T01:32:37.7574238Z             
2022-11-23T01:32:37.7574306Z  - 
2022-11-23T01:32:37.7574434Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.7574496Z             {
2022-11-23T01:32:37.7574615Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7574781Z                 'code': ['___check_obj_id(model, 140126549405920)'],
2022-11-23T01:32:37.7574899Z                 'obj_weakref': None
2022-11-23T01:32:37.7575127Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.7575193Z             }
2022-11-23T01:32:37.7575255Z             
2022-11-23T01:32:37.7575323Z  - 
2022-11-23T01:32:37.7575430Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7575493Z             {
2022-11-23T01:32:37.7575626Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7575843Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7575960Z                 'obj_weakref': None
2022-11-23T01:32:37.7576177Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7576240Z             }
2022-11-23T01:32:37.7576291Z             
2022-11-23T01:32:37.7576357Z  - 
2022-11-23T01:32:37.7576488Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.7576550Z             {
2022-11-23T01:32:37.7576667Z                 'guard_types': None,
2022-11-23T01:32:37.7576774Z                 'code': None,
2022-11-23T01:32:37.7576889Z                 'obj_weakref': None
2022-11-23T01:32:37.7576996Z                 'guarded_class': None
2022-11-23T01:32:37.7577057Z             }
2022-11-23T01:32:37.7577118Z             
2022-11-23T01:32:37.7577377Z [2022-11-23 01:23:58,550] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 291
2022-11-23T01:32:37.7577742Z [2022-11-23 01:24:01,249] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5p/c5pbabz7x5kgrva3lugntjiaxxt4i4j2ozyzicqtzsatq232znls.py
2022-11-23T01:32:37.7578002Z [2022-11-23 01:24:01,250] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 291
2022-11-23T01:32:37.7578007Z 
2022-11-23T01:32:37.7578100Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7578168Z import torch
2022-11-23T01:32:37.7578224Z import random
2022-11-23T01:32:37.7578337Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7578458Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7578466Z 
2022-11-23T01:32:37.7578543Z aten = torch.ops.aten
2022-11-23T01:32:37.7578676Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7578767Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7578772Z 
2022-11-23T01:32:37.7578776Z 
2022-11-23T01:32:37.7578908Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7579112Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7579217Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.7579317Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:32:37.7579422Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.7579520Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.7579615Z                        float* __restrict__ out_ptr3)
2022-11-23T01:32:37.7579676Z {
2022-11-23T01:32:37.7579761Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:32:37.7579861Z     auto out_ptr2 = in_out_ptr1;
2022-11-23T01:32:37.7579959Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7580021Z     {
2022-11-23T01:32:37.7580098Z         #pragma omp for 
2022-11-23T01:32:37.7580181Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.7580248Z         {
2022-11-23T01:32:37.7580312Z             {
2022-11-23T01:32:37.7580363Z                 {
2022-11-23T01:32:37.7580616Z                     float tmp1 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.7580709Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:37.7580775Z                     {
2022-11-23T01:32:37.7580843Z                         {
2022-11-23T01:32:37.7580947Z                             auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:37.7581049Z                             tmp1 = std::max(tmp1, tmp0);
2022-11-23T01:32:37.7581105Z                         }
2022-11-23T01:32:37.7581172Z                     }
2022-11-23T01:32:37.7581258Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:32:37.7581324Z                 }
2022-11-23T01:32:37.7581387Z             }
2022-11-23T01:32:37.7581450Z         }
2022-11-23T01:32:37.7581526Z         #pragma omp for 
2022-11-23T01:32:37.7581594Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.7581655Z         {
2022-11-23T01:32:37.7581717Z             {
2022-11-23T01:32:37.7581782Z                 {
2022-11-23T01:32:37.7581860Z                     float tmp4 = 0;
2022-11-23T01:32:37.7581951Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:37.7582005Z                     {
2022-11-23T01:32:37.7582072Z                         {
2022-11-23T01:32:37.7582174Z                             auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:37.7582274Z                             auto tmp1 = out_ptr0[i0];
2022-11-23T01:32:37.7582420Z                             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.7582522Z                             auto tmp3 = std::exp(tmp2);
2022-11-23T01:32:37.7582605Z                             tmp4 += tmp3;
2022-11-23T01:32:37.7582673Z                         }
2022-11-23T01:32:37.7582726Z                     }
2022-11-23T01:32:37.7582809Z                     out_ptr1[i0] = tmp4;
2022-11-23T01:32:37.7582871Z                 }
2022-11-23T01:32:37.7582933Z             }
2022-11-23T01:32:37.7582996Z         }
2022-11-23T01:32:37.7583071Z         #pragma omp for 
2022-11-23T01:32:37.7583138Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.7583201Z         {
2022-11-23T01:32:37.7583263Z             {
2022-11-23T01:32:37.7583327Z                 {
2022-11-23T01:32:37.7583536Z                     float tmp1 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.7583625Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:37.7583690Z                     {
2022-11-23T01:32:37.7583744Z                         {
2022-11-23T01:32:37.7583844Z                             auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T01:32:37.7583950Z                             tmp1 = std::max(tmp1, tmp0);
2022-11-23T01:32:37.7584015Z                         }
2022-11-23T01:32:37.7584086Z                     }
2022-11-23T01:32:37.7584167Z                     out_ptr2[i0] = tmp1;
2022-11-23T01:32:37.7584231Z                 }
2022-11-23T01:32:37.7584280Z             }
2022-11-23T01:32:37.7584341Z         }
2022-11-23T01:32:37.7584416Z         #pragma omp for 
2022-11-23T01:32:37.7584585Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.7584653Z         {
2022-11-23T01:32:37.7584715Z             {
2022-11-23T01:32:37.7584781Z                 {
2022-11-23T01:32:37.7584848Z                     float tmp4 = 0;
2022-11-23T01:32:37.7584938Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:37.7585005Z                     {
2022-11-23T01:32:37.7585074Z                         {
2022-11-23T01:32:37.7585178Z                             auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T01:32:37.7585275Z                             auto tmp1 = out_ptr2[i0];
2022-11-23T01:32:37.7585474Z                             auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.7585563Z                             auto tmp3 = std::exp(tmp2);
2022-11-23T01:32:37.7585643Z                             tmp4 += tmp3;
2022-11-23T01:32:37.7585709Z                         }
2022-11-23T01:32:37.7585776Z                     }
2022-11-23T01:32:37.7585859Z                     out_ptr3[i0] = tmp4;
2022-11-23T01:32:37.7585923Z                 }
2022-11-23T01:32:37.7586014Z             }
2022-11-23T01:32:37.7586065Z         }
2022-11-23T01:32:37.7586141Z         #pragma omp for 
2022-11-23T01:32:37.7586222Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.7586286Z         {
2022-11-23T01:32:37.7586350Z             {
2022-11-23T01:32:37.7586413Z                 {
2022-11-23T01:32:37.7586494Z                     auto tmp0 = out_ptr1[i0];
2022-11-23T01:32:37.7586584Z                     auto tmp2 = out_ptr0[i0];
2022-11-23T01:32:37.7586679Z                     auto tmp1 = std::log(tmp0);
2022-11-23T01:32:37.7586775Z                     auto tmp3 = std::abs(tmp2);
2022-11-23T01:32:37.7586900Z                     auto tmp4 = std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.7586988Z                     auto tmp5 = tmp3 == tmp4;
2022-11-23T01:32:37.7587091Z                     auto tmp6 = static_cast<float>(0.0);
2022-11-23T01:32:37.7587188Z                     auto tmp7 = tmp5 ? tmp6 : tmp2;
2022-11-23T01:32:37.7587265Z                     auto tmp8 = tmp1 + tmp7;
2022-11-23T01:32:37.7587355Z                     in_out_ptr0[i0] = tmp8;
2022-11-23T01:32:37.7587420Z                 }
2022-11-23T01:32:37.7587482Z             }
2022-11-23T01:32:37.7587543Z         }
2022-11-23T01:32:37.7587619Z         #pragma omp for 
2022-11-23T01:32:37.7587687Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.7587748Z         {
2022-11-23T01:32:37.7587811Z             {
2022-11-23T01:32:37.7587873Z                 {
2022-11-23T01:32:37.7587965Z                     auto tmp0 = out_ptr3[i0];
2022-11-23T01:32:37.7588058Z                     auto tmp2 = out_ptr2[i0];
2022-11-23T01:32:37.7588151Z                     auto tmp1 = std::log(tmp0);
2022-11-23T01:32:37.7588234Z                     auto tmp3 = std::abs(tmp2);
2022-11-23T01:32:37.7588355Z                     auto tmp4 = std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.7588445Z                     auto tmp5 = tmp3 == tmp4;
2022-11-23T01:32:37.7588548Z                     auto tmp6 = static_cast<float>(0.0);
2022-11-23T01:32:37.7588650Z                     auto tmp7 = tmp5 ? tmp6 : tmp2;
2022-11-23T01:32:37.7588740Z                     auto tmp8 = tmp1 + tmp7;
2022-11-23T01:32:37.7588843Z                     auto tmp9 = static_cast<float>(2);
2022-11-23T01:32:37.7588984Z                     auto tmp10 = tmp8 - tmp9;
2022-11-23T01:32:37.7589061Z                     in_out_ptr1[i0] = tmp10;
2022-11-23T01:32:37.7589127Z                 }
2022-11-23T01:32:37.7589189Z             }
2022-11-23T01:32:37.7589254Z         }
2022-11-23T01:32:37.7589319Z     }
2022-11-23T01:32:37.7589381Z }
2022-11-23T01:32:37.7589447Z ''')
2022-11-23T01:32:37.7589467Z 
2022-11-23T01:32:37.7589471Z 
2022-11-23T01:32:37.7589548Z async_compile.wait(globals())
2022-11-23T01:32:37.7589621Z del async_compile
2022-11-23T01:32:37.7589626Z 
2022-11-23T01:32:37.7589697Z def call(args):
2022-11-23T01:32:37.7589769Z     arg0_1, = args
2022-11-23T01:32:37.7589842Z     args.clear()
2022-11-23T01:32:37.7590040Z     buf0 = empty_strided((8, 1), (1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7590232Z     buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7590411Z     buf2 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7590596Z     buf3 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7590681Z     buf4 = buf1; del buf1  # reuse
2022-11-23T01:32:37.7590793Z     buf5 = as_strided(buf2, (8, ), (1, )); del buf2  # reuse
2022-11-23T01:32:37.7591011Z     kernel_cpp_0(c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:37.7591115Z     del arg0_1
2022-11-23T01:32:37.7591193Z     return (buf4, buf5, )
2022-11-23T01:32:37.7591198Z 
2022-11-23T01:32:37.7591202Z 
2022-11-23T01:32:37.7591280Z if __name__ == "__main__":
2022-11-23T01:32:37.7591381Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7591537Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7591738Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7591889Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.7591896Z 
2022-11-23T01:32:37.7591989Z ok (2.837s)
2022-11-23T01:32:37.7592394Z   test_long_tensor_cpu (__main__.CpuTests) ... [2022-11-23 01:24:01,263] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7592673Z [2022-11-23 01:24:01,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7592895Z [2022-11-23 01:24:01,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7593149Z [2022-11-23 01:24:01,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.7593423Z [2022-11-23 01:24:01,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.7593750Z [2022-11-23 01:24:01,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7594082Z [2022-11-23 01:24:01,264] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f642ae40, file "inductor/test_torchinductor.py", line 3107> 
2022-11-23T01:32:37.7594180Z  3109           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.7594282Z                2 LOAD_METHOD              1 (LongTensor)
2022-11-23T01:32:37.7594377Z                4 LOAD_CONST               1 (294)
2022-11-23T01:32:37.7594467Z                6 BUILD_LIST               1
2022-11-23T01:32:37.7594556Z                8 CALL_METHOD              1
2022-11-23T01:32:37.7594636Z               10 LOAD_METHOD              2 (to)
2022-11-23T01:32:37.7594727Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:37.7594823Z               14 LOAD_ATTR                3 (device)
2022-11-23T01:32:37.7594913Z               16 CALL_METHOD              1
2022-11-23T01:32:37.7595003Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:37.7595080Z               20 BINARY_SUBTRACT
2022-11-23T01:32:37.7595086Z 
2022-11-23T01:32:37.7595181Z 3110          22 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.7595263Z               24 LOAD_METHOD              4 (as_tensor)
2022-11-23T01:32:37.7595356Z               26 LOAD_CONST               2 (295)
2022-11-23T01:32:37.7595445Z               28 BUILD_LIST               1
2022-11-23T01:32:37.7595533Z               30 CALL_METHOD              1
2022-11-23T01:32:37.7595625Z               32 LOAD_METHOD              2 (to)
2022-11-23T01:32:37.7595715Z               34 LOAD_FAST                0 (a)
2022-11-23T01:32:37.7595807Z               36 LOAD_ATTR                3 (device)
2022-11-23T01:32:37.7595891Z               38 CALL_METHOD              1
2022-11-23T01:32:37.7595966Z               40 LOAD_FAST                0 (a)
2022-11-23T01:32:37.7596040Z               42 BINARY_ADD
2022-11-23T01:32:37.7596127Z               44 BUILD_TUPLE              2
2022-11-23T01:32:37.7596204Z               46 RETURN_VALUE
2022-11-23T01:32:37.7596265Z  
2022-11-23T01:32:37.7596270Z 
2022-11-23T01:32:37.7596542Z [2022-11-23 01:24:01,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3109
2022-11-23T01:32:37.7596761Z [2022-11-23 01:24:01,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.7597310Z [2022-11-23 01:24:01,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR LongTensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.7597577Z [2022-11-23 01:24:01,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 294 [TorchVariable(<class 'torch.LongTensor'>)]
2022-11-23T01:32:37.7597962Z [2022-11-23 01:24:01,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<class 'torch.LongTensor'>), ConstantVariable(int)]
2022-11-23T01:32:37.7598274Z [2022-11-23 01:24:01,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<class 'torch.LongTensor'>), ListVariable()]
2022-11-23T01:32:37.7598512Z [2022-11-23 01:24:01,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()]
2022-11-23T01:32:37.7598781Z [2022-11-23 01:24:01,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [GetAttrVariable(TensorVariable(), to)]
2022-11-23T01:32:37.7599088Z [2022-11-23 01:24:01,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [GetAttrVariable(TensorVariable(), to), TensorVariable()]
2022-11-23T01:32:37.7599392Z [2022-11-23 01:24:01,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), TorchVariable(cpu)]
2022-11-23T01:32:37.7599628Z [2022-11-23 01:24:01,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:37.7599909Z [2022-11-23 01:24:01,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7600174Z [2022-11-23 01:24:01,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3110
2022-11-23T01:32:37.7600406Z [2022-11-23 01:24:01,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.7600807Z [2022-11-23 01:24:01,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_tensor [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.7601171Z [2022-11-23 01:24:01,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 295 [TensorVariable(), TorchVariable(<built-in method as_tensor of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.7601565Z [2022-11-23 01:24:01,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(<built-in method as_tensor of type object at 0x7f71f2abebc0>), ConstantVariable(int)]
2022-11-23T01:32:37.7601952Z [2022-11-23 01:24:01,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method as_tensor of type object at 0x7f71f2abebc0>), ListVariable()]
2022-11-23T01:32:37.7602218Z [2022-11-23 01:24:01,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7602517Z [2022-11-23 01:24:01,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), GetAttrVariable(TensorVariable(), to)]
2022-11-23T01:32:37.7602852Z [2022-11-23 01:24:01,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), GetAttrVariable(TensorVariable(), to), TensorVariable()]
2022-11-23T01:32:37.7603182Z [2022-11-23 01:24:01,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), to), TorchVariable(cpu)]
2022-11-23T01:32:37.7603444Z [2022-11-23 01:24:01,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7603743Z [2022-11-23 01:24:01,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7604008Z [2022-11-23 01:24:01,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7604241Z [2022-11-23 01:24:01,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.7604611Z [2022-11-23 01:24:01,284] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f642ae40, file "inductor/test_torchinductor.py", line 3107>
2022-11-23T01:32:37.7604921Z [2022-11-23 01:24:01,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.7605186Z [2022-11-23 01:24:01,284] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7605438Z [2022-11-23 01:24:01,287] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7605683Z [2022-11-23 01:24:01,297] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7605871Z [2022-11-23 01:24:01,297] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7606003Z  __compiled_fn_299 <eval_with_key>.1856 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7606094Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7606273Z call_function, long_tensor, <class 'torch.LongTensor'>, ([294],), {}
2022-11-23T01:32:37.7606440Z call_method, to, to, (long_tensor, device(type='cpu')), {}
2022-11-23T01:32:37.7606611Z call_function, sub, <built-in function sub>, (to, ex_0_), {}
2022-11-23T01:32:37.7606853Z call_function, as_tensor, <built-in method as_tensor of type object at 0x7f71f2abebc0>, ([295],), {}
2022-11-23T01:32:37.7607022Z call_method, to_1, to, (as_tensor, device(type='cpu')), {}
2022-11-23T01:32:37.7607198Z call_function, add, <built-in function add>, (to_1, ex_0_), {}
2022-11-23T01:32:37.7607305Z output, output, output, ((sub, add),), {}
2022-11-23T01:32:37.7607311Z 
2022-11-23T01:32:37.7607588Z [2022-11-23 01:24:01,298] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7607669Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7607759Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7607854Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7607943Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7608019Z               8 RETURN_VALUE
2022-11-23T01:32:37.7608024Z 
2022-11-23T01:32:37.7608085Z  
2022-11-23T01:32:37.7608354Z [2022-11-23 01:24:01,298] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7608451Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_299)
2022-11-23T01:32:37.7608540Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7608627Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7608703Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7608792Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7608894Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.7608993Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7609083Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7609146Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.7609245Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7609331Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.7609405Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.7609492Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.7609566Z              26 RETURN_VALUE
2022-11-23T01:32:37.7609571Z 
2022-11-23T01:32:37.7609632Z  
2022-11-23T01:32:37.7609801Z [2022-11-23 01:24:01,300] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7609869Z  - 
2022-11-23T01:32:37.7609987Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7610050Z             {
2022-11-23T01:32:37.7610189Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7610372Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7610492Z                 'obj_weakref': None
2022-11-23T01:32:37.7610732Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7610796Z             }
2022-11-23T01:32:37.7610859Z             
2022-11-23T01:32:37.7610927Z  - 
2022-11-23T01:32:37.7611046Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:37.7611109Z             {
2022-11-23T01:32:37.7611246Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:37.7611429Z                 'code': ['___check_type_id(ex[0], 107271106909856)'],
2022-11-23T01:32:37.7611642Z                 'obj_weakref': <weakref at 0x7f71c0dddef0; to 'Tensor' at 0x7f70f2c58dd0>
2022-11-23T01:32:37.7611890Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7611953Z             }
2022-11-23T01:32:37.7612016Z             
2022-11-23T01:32:37.7612084Z  - 
2022-11-23T01:32:37.7612208Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7612258Z             {
2022-11-23T01:32:37.7612402Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7612508Z                 'code': None,
2022-11-23T01:32:37.7612720Z                 'obj_weakref': <weakref at 0x7f71c0dddef0; to 'Tensor' at 0x7f70f2c58dd0>
2022-11-23T01:32:37.7612966Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7613028Z             }
2022-11-23T01:32:37.7613090Z             
2022-11-23T01:32:37.7613147Z  - 
2022-11-23T01:32:37.7613279Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.7613341Z             {
2022-11-23T01:32:37.7613474Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7613640Z                 'code': ['___check_obj_id(model, 140124011142464)'],
2022-11-23T01:32:37.7613757Z                 'obj_weakref': None
2022-11-23T01:32:37.7613983Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.7614035Z             }
2022-11-23T01:32:37.7614096Z             
2022-11-23T01:32:37.7614163Z  - 
2022-11-23T01:32:37.7614283Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7614346Z             {
2022-11-23T01:32:37.7614478Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7614692Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7614795Z                 'obj_weakref': None
2022-11-23T01:32:37.7615011Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7615073Z             }
2022-11-23T01:32:37.7615136Z             
2022-11-23T01:32:37.7615204Z  - 
2022-11-23T01:32:37.7615335Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.7615399Z             {
2022-11-23T01:32:37.7615504Z                 'guard_types': None,
2022-11-23T01:32:37.7615610Z                 'code': None,
2022-11-23T01:32:37.7615723Z                 'obj_weakref': None
2022-11-23T01:32:37.7615843Z                 'guarded_class': None
2022-11-23T01:32:37.7615905Z             }
2022-11-23T01:32:37.7615966Z             
2022-11-23T01:32:37.7616224Z [2022-11-23 01:24:01,320] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 292
2022-11-23T01:32:37.7616581Z [2022-11-23 01:24:03,876] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hd/chd4w2g7w5wurpsbxnxmggpobp4auyioytgut464bhrd75x26oqo.py
2022-11-23T01:32:37.7616846Z [2022-11-23 01:24:03,876] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 292
2022-11-23T01:32:37.7616852Z 
2022-11-23T01:32:37.7616944Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7617013Z import torch
2022-11-23T01:32:37.7617080Z import random
2022-11-23T01:32:37.7617192Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7617311Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7617316Z 
2022-11-23T01:32:37.7617393Z aten = torch.ops.aten
2022-11-23T01:32:37.7617585Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7617677Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7617682Z 
2022-11-23T01:32:37.7617686Z 
2022-11-23T01:32:37.7617821Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7618026Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7618148Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:37.7618278Z                        long* __restrict__ out_ptr0,
2022-11-23T01:32:37.7618373Z                        long* __restrict__ out_ptr1)
2022-11-23T01:32:37.7618434Z {
2022-11-23T01:32:37.7618519Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7618582Z     {
2022-11-23T01:32:37.7618660Z         #pragma omp for 
2022-11-23T01:32:37.7618742Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:37.7618804Z         {
2022-11-23T01:32:37.7618867Z             {
2022-11-23T01:32:37.7618920Z                 {
2022-11-23T01:32:37.7619010Z                     auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.7619112Z                     auto tmp0 = static_cast<long>(294);
2022-11-23T01:32:37.7619244Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:37.7619345Z                     auto tmp3 = static_cast<long>(295);
2022-11-23T01:32:37.7619433Z                     auto tmp4 = tmp3 + tmp1;
2022-11-23T01:32:37.7619517Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.7619590Z                     out_ptr1[i0] = tmp4;
2022-11-23T01:32:37.7619653Z                 }
2022-11-23T01:32:37.7619714Z             }
2022-11-23T01:32:37.7619777Z         }
2022-11-23T01:32:37.7619839Z     }
2022-11-23T01:32:37.7619898Z }
2022-11-23T01:32:37.7620007Z ''')
2022-11-23T01:32:37.7620012Z 
2022-11-23T01:32:37.7620016Z 
2022-11-23T01:32:37.7620093Z async_compile.wait(globals())
2022-11-23T01:32:37.7620163Z del async_compile
2022-11-23T01:32:37.7620168Z 
2022-11-23T01:32:37.7620238Z def call(args):
2022-11-23T01:32:37.7620308Z     arg0_1, = args
2022-11-23T01:32:37.7620378Z     args.clear()
2022-11-23T01:32:37.7620567Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.7620754Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.7620915Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7620970Z     del arg0_1
2022-11-23T01:32:37.7621050Z     return (buf0, buf1, )
2022-11-23T01:32:37.7621055Z 
2022-11-23T01:32:37.7621059Z 
2022-11-23T01:32:37.7621137Z if __name__ == "__main__":
2022-11-23T01:32:37.7621249Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7621369Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7621556Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.7621661Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.7621666Z 
2022-11-23T01:32:37.7621732Z ok (2.625s)
2022-11-23T01:32:37.7622036Z   test_lowmem_dropout1_cpu (__main__.CpuTests) ... [2022-11-23 01:24:03,894] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7622303Z [2022-11-23 01:24:03,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4158
2022-11-23T01:32:37.7622515Z [2022-11-23 01:24:03,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:32:37.7622924Z [2022-11-23 01:24:03,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:37.7623214Z [2022-11-23 01:24:03,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function dropout at 0x7f71ce63ccb0>)]
2022-11-23T01:32:37.7623539Z [2022-11-23 01:24:03,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF weight [TorchVariable(<function dropout at 0x7f71ce63ccb0>), TensorVariable()]
2022-11-23T01:32:37.7623935Z [2022-11-23 01:24:03,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(<function dropout at 0x7f71ce63ccb0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7624255Z [2022-11-23 01:24:03,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.33 [TorchVariable(<function dropout at 0x7f71ce63ccb0>), TensorVariable()]
2022-11-23T01:32:37.7624739Z [2022-11-23 01:24:03,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST train [TorchVariable(<function dropout at 0x7f71ce63ccb0>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.7625145Z [2022-11-23 01:24:03,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function dropout at 0x7f71ce63ccb0>), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)]
2022-11-23T01:32:37.7625390Z [2022-11-23 01:24:03,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7625615Z [2022-11-23 01:24:03,934] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7625856Z [2022-11-23 01:24:03,936] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:37.7626091Z [2022-11-23 01:24:03,942] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:37.7626283Z [2022-11-23 01:24:03,943] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7626420Z  __compiled_fn_300 <eval_with_key>.1862 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7626504Z placeholder, x, x, (), {}
2022-11-23T01:32:37.7626601Z placeholder, weight, weight, (), {}
2022-11-23T01:32:37.7626777Z call_function, mul, <built-in function mul>, (x, weight), {}
2022-11-23T01:32:37.7626973Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7f71c139ca70>, (mul, 0.33, False), {}
2022-11-23T01:32:37.7627085Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T01:32:37.7627092Z 
2022-11-23T01:32:37.7627368Z [2022-11-23 01:24:03,944] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 4156 
2022-11-23T01:32:37.7627462Z 4158           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:37.7627562Z                2 LOAD_METHOD              1 (dropout)
2022-11-23T01:32:37.7627653Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.7627750Z                6 LOAD_DEREF               0 (weight)
2022-11-23T01:32:37.7627832Z                8 BINARY_MULTIPLY
2022-11-23T01:32:37.7627912Z               10 LOAD_CONST               1 (0.33)
2022-11-23T01:32:37.7628004Z               12 LOAD_FAST                1 (train)
2022-11-23T01:32:37.7628094Z               14 CALL_METHOD              3
2022-11-23T01:32:37.7628171Z               16 RETURN_VALUE
2022-11-23T01:32:37.7628175Z 
2022-11-23T01:32:37.7628235Z  
2022-11-23T01:32:37.7628512Z [2022-11-23 01:24:03,944] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 4156 
2022-11-23T01:32:37.7628620Z 4156           0 LOAD_GLOBAL              2 (__compiled_fn_300)
2022-11-23T01:32:37.7628695Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:37.7628787Z                4 LOAD_DEREF               0 (weight)
2022-11-23T01:32:37.7628877Z                6 CALL_FUNCTION            2
2022-11-23T01:32:37.7628966Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7629042Z               10 RETURN_VALUE
2022-11-23T01:32:37.7629047Z 
2022-11-23T01:32:37.7629107Z  
2022-11-23T01:32:37.7629286Z [2022-11-23 01:24:03,945] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7629355Z  - 
2022-11-23T01:32:37.7629460Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:37.7629522Z             {
2022-11-23T01:32:37.7629663Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7629771Z                 'code': None,
2022-11-23T01:32:37.7629979Z                 'obj_weakref': <weakref at 0x7f7106c79770; to 'Tensor' at 0x7f71c0f604d0>
2022-11-23T01:32:37.7630260Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7630325Z             }
2022-11-23T01:32:37.7630375Z             
2022-11-23T01:32:37.7630443Z  - 
2022-11-23T01:32:37.7630570Z             local 'train' CONSTANT_MATCH
2022-11-23T01:32:37.7630633Z             {
2022-11-23T01:32:37.7630798Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7630963Z                 'code': ['___check_obj_id(train, 94279403954912)'],
2022-11-23T01:32:37.7631079Z                 'obj_weakref': None
2022-11-23T01:32:37.7631285Z                 'guarded_class': <weakref at 0x7f71f667d230; to 'type' at 0x55bf2261e140 (bool)>
2022-11-23T01:32:37.7631348Z             }
2022-11-23T01:32:37.7631413Z             
2022-11-23T01:32:37.7631486Z  - 
2022-11-23T01:32:37.7631612Z             local 'weight' TENSOR_MATCH
2022-11-23T01:32:37.7631676Z             {
2022-11-23T01:32:37.7631820Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7631913Z                 'code': None,
2022-11-23T01:32:37.7632122Z                 'obj_weakref': <weakref at 0x7f7106c799b0; to 'Tensor' at 0x7f71c0f60710>
2022-11-23T01:32:37.7632369Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7632433Z             }
2022-11-23T01:32:37.7632500Z             
2022-11-23T01:32:37.7632573Z  - 
2022-11-23T01:32:37.7632698Z             global 'F' FUNCTION_MATCH
2022-11-23T01:32:37.7632748Z             {
2022-11-23T01:32:37.7632867Z                 'guard_types': None,
2022-11-23T01:32:37.7632973Z                 'code': None,
2022-11-23T01:32:37.7633092Z                 'obj_weakref': None
2022-11-23T01:32:37.7633211Z                 'guarded_class': None
2022-11-23T01:32:37.7633275Z             }
2022-11-23T01:32:37.7633325Z             
2022-11-23T01:32:37.7633584Z [2022-11-23 01:24:03,975] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 293
2022-11-23T01:32:37.7633959Z [2022-11-23 01:24:06,523] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ka/ckawwttfuoclrmjc6s3zerafaagq4eqwmv37kg3nxvub532qpyhq.py
2022-11-23T01:32:37.7634223Z [2022-11-23 01:24:06,524] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 293
2022-11-23T01:32:37.7634481Z [2022-11-23 01:24:06,528] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling BACKWARDS graph 293
2022-11-23T01:32:37.7634848Z [2022-11-23 01:24:06,544] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sf/csfu3sfl66jebrpr6bmihmhepbk7vkzeutazc55dktklvmtm7vky.py
2022-11-23T01:32:37.7635108Z [2022-11-23 01:24:06,544] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling BACKWARDS graph 293
2022-11-23T01:32:37.7635345Z [2022-11-23 01:24:06,596] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7635617Z [2022-11-23 01:24:06,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4158
2022-11-23T01:32:37.7635832Z [2022-11-23 01:24:06,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F []
2022-11-23T01:32:37.7636247Z [2022-11-23 01:24:06,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:37.7636538Z [2022-11-23 01:24:06,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function dropout at 0x7f71ce63ccb0>)]
2022-11-23T01:32:37.7636865Z [2022-11-23 01:24:06,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF weight [TorchVariable(<function dropout at 0x7f71ce63ccb0>), TensorVariable()]
2022-11-23T01:32:37.7637401Z [2022-11-23 01:24:06,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(<function dropout at 0x7f71ce63ccb0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7637777Z [2022-11-23 01:24:06,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.33 [TorchVariable(<function dropout at 0x7f71ce63ccb0>), TensorVariable()]
2022-11-23T01:32:37.7638140Z [2022-11-23 01:24:06,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST train [TorchVariable(<function dropout at 0x7f71ce63ccb0>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.7638577Z [2022-11-23 01:24:06,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function dropout at 0x7f71ce63ccb0>), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)]
2022-11-23T01:32:37.7638827Z [2022-11-23 01:24:06,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7639062Z [2022-11-23 01:24:06,607] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7639305Z [2022-11-23 01:24:06,608] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:37.7639546Z [2022-11-23 01:24:06,619] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:37.7639721Z [2022-11-23 01:24:06,619] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7639857Z  __compiled_fn_301 <eval_with_key>.1873 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7639943Z placeholder, x, x, (), {}
2022-11-23T01:32:37.7640041Z placeholder, weight, weight, (), {}
2022-11-23T01:32:37.7640217Z call_function, mul, <built-in function mul>, (x, weight), {}
2022-11-23T01:32:37.7640376Z call_function, lowmem_dropout, <function lowmem_dropout at 0x7f71c139ca70>, (mul, 0.33, True), {}
2022-11-23T01:32:37.7640488Z output, output, output, ((lowmem_dropout,),), {}
2022-11-23T01:32:37.7640495Z 
2022-11-23T01:32:37.7640773Z [2022-11-23 01:24:06,620] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 4156 
2022-11-23T01:32:37.7640855Z 4158           0 LOAD_GLOBAL              0 (F)
2022-11-23T01:32:37.7640954Z                2 LOAD_METHOD              1 (dropout)
2022-11-23T01:32:37.7641044Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.7641141Z                6 LOAD_DEREF               0 (weight)
2022-11-23T01:32:37.7641222Z                8 BINARY_MULTIPLY
2022-11-23T01:32:37.7641311Z               10 LOAD_CONST               1 (0.33)
2022-11-23T01:32:37.7641403Z               12 LOAD_FAST                1 (train)
2022-11-23T01:32:37.7641478Z               14 CALL_METHOD              3
2022-11-23T01:32:37.7641552Z               16 RETURN_VALUE
2022-11-23T01:32:37.7641557Z 
2022-11-23T01:32:37.7641616Z  
2022-11-23T01:32:37.7641891Z [2022-11-23 01:24:06,620] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 4156 
2022-11-23T01:32:37.7641998Z 4156           0 LOAD_GLOBAL              2 (__compiled_fn_301)
2022-11-23T01:32:37.7642088Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:37.7642186Z                4 LOAD_DEREF               0 (weight)
2022-11-23T01:32:37.7642277Z                6 CALL_FUNCTION            2
2022-11-23T01:32:37.7642355Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7642433Z               10 RETURN_VALUE
2022-11-23T01:32:37.7642438Z 
2022-11-23T01:32:37.7642501Z  
2022-11-23T01:32:37.7642683Z [2022-11-23 01:24:06,621] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7642751Z  - 
2022-11-23T01:32:37.7642871Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:37.7642934Z             {
2022-11-23T01:32:37.7643063Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7643168Z                 'code': None,
2022-11-23T01:32:37.7643376Z                 'obj_weakref': <weakref at 0x7f7106c79770; to 'Tensor' at 0x7f71c0f604d0>
2022-11-23T01:32:37.7643622Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7643718Z             }
2022-11-23T01:32:37.7643781Z             
2022-11-23T01:32:37.7643848Z  - 
2022-11-23T01:32:37.7643967Z             local 'train' CONSTANT_MATCH
2022-11-23T01:32:37.7644029Z             {
2022-11-23T01:32:37.7644161Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7644325Z                 'code': ['___check_obj_id(train, 94279403954944)'],
2022-11-23T01:32:37.7644441Z                 'obj_weakref': None
2022-11-23T01:32:37.7644698Z                 'guarded_class': <weakref at 0x7f71f667d230; to 'type' at 0x55bf2261e140 (bool)>
2022-11-23T01:32:37.7644761Z             }
2022-11-23T01:32:37.7644811Z             
2022-11-23T01:32:37.7644879Z  - 
2022-11-23T01:32:37.7645004Z             local 'weight' TENSOR_MATCH
2022-11-23T01:32:37.7645067Z             {
2022-11-23T01:32:37.7645207Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7645313Z                 'code': None,
2022-11-23T01:32:37.7645522Z                 'obj_weakref': <weakref at 0x7f7106c799b0; to 'Tensor' at 0x7f71c0f60710>
2022-11-23T01:32:37.7645757Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7645819Z             }
2022-11-23T01:32:37.7645880Z             
2022-11-23T01:32:37.7645947Z  - 
2022-11-23T01:32:37.7646069Z             global 'F' FUNCTION_MATCH
2022-11-23T01:32:37.7646130Z             {
2022-11-23T01:32:37.7646246Z                 'guard_types': None,
2022-11-23T01:32:37.7646340Z                 'code': None,
2022-11-23T01:32:37.7646458Z                 'obj_weakref': None
2022-11-23T01:32:37.7646577Z                 'guarded_class': None
2022-11-23T01:32:37.7646641Z             }
2022-11-23T01:32:37.7646705Z             
2022-11-23T01:32:37.7646964Z [2022-11-23 01:24:06,709] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 294
2022-11-23T01:32:37.7647217Z [2022-11-23 01:24:06,710] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:32:37.7647582Z [2022-11-23 01:24:09,241] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pb/cpbojlk2aq7wxgypgipn5xqjxluiyxwrszdveljd4ozybnnhzekx.py
2022-11-23T01:32:37.7647837Z [2022-11-23 01:24:09,241] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 294
2022-11-23T01:32:37.7648090Z [2022-11-23 01:24:09,246] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling BACKWARDS graph 294
2022-11-23T01:32:37.7648097Z 
2022-11-23T01:32:37.7648189Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7648258Z import torch
2022-11-23T01:32:37.7648327Z import random
2022-11-23T01:32:37.7648440Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7648559Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7648564Z 
2022-11-23T01:32:37.7648640Z aten = torch.ops.aten
2022-11-23T01:32:37.7648762Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7648853Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7648858Z 
2022-11-23T01:32:37.7648863Z 
2022-11-23T01:32:37.7648994Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7649198Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7649317Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.7649419Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.7649520Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.7649569Z {
2022-11-23T01:32:37.7649664Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7649724Z     {
2022-11-23T01:32:37.7649799Z         #pragma omp for 
2022-11-23T01:32:37.7649881Z         for(long i0=0; i0<6250; i0+=1)
2022-11-23T01:32:37.7649942Z         {
2022-11-23T01:32:37.7650081Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.7650215Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:37.7650326Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:37.7650416Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.7650479Z         }
2022-11-23T01:32:37.7650574Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.7650667Z         for(long i0=100000; i0<100000; i0+=1)
2022-11-23T01:32:37.7650732Z         {
2022-11-23T01:32:37.7650804Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.7650911Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:37.7650992Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:37.7651071Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.7651134Z         }
2022-11-23T01:32:37.7651193Z     }
2022-11-23T01:32:37.7651252Z }
2022-11-23T01:32:37.7651318Z ''')
2022-11-23T01:32:37.7651324Z 
2022-11-23T01:32:37.7651339Z 
2022-11-23T01:32:37.7651414Z async_compile.wait(globals())
2022-11-23T01:32:37.7651487Z del async_compile
2022-11-23T01:32:37.7651491Z 
2022-11-23T01:32:37.7651559Z def call(args):
2022-11-23T01:32:37.7651648Z     primals_1, primals_2 = args
2022-11-23T01:32:37.7651718Z     args.clear()
2022-11-23T01:32:37.7651918Z     buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7652090Z     kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.7652149Z     del primals_2
2022-11-23T01:32:37.7652233Z     return (buf0, primals_1, )
2022-11-23T01:32:37.7652238Z 
2022-11-23T01:32:37.7652244Z 
2022-11-23T01:32:37.7652318Z if __name__ == "__main__":
2022-11-23T01:32:37.7652431Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7652555Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7652759Z     primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7652958Z     primals_2 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7653083Z     print_performance(lambda: call([primals_1, primals_2]))
2022-11-23T01:32:37.7653090Z 
2022-11-23T01:32:37.7653094Z 
2022-11-23T01:32:37.7653175Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7653242Z import torch
2022-11-23T01:32:37.7653311Z import random
2022-11-23T01:32:37.7653424Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7653543Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7653548Z 
2022-11-23T01:32:37.7653624Z aten = torch.ops.aten
2022-11-23T01:32:37.7653757Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7653846Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7653852Z 
2022-11-23T01:32:37.7653856Z 
2022-11-23T01:32:37.7653974Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7654175Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7654294Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.7654397Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.7654497Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.7654562Z {
2022-11-23T01:32:37.7654657Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7654705Z     {
2022-11-23T01:32:37.7654784Z         #pragma omp for 
2022-11-23T01:32:37.7654865Z         for(long i0=0; i0<6250; i0+=1)
2022-11-23T01:32:37.7654926Z         {
2022-11-23T01:32:37.7655060Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.7655187Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:37.7655272Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:37.7655364Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.7655414Z         }
2022-11-23T01:32:37.7655509Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.7655597Z         for(long i0=100000; i0<100000; i0+=1)
2022-11-23T01:32:37.7655659Z         {
2022-11-23T01:32:37.7655743Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.7655853Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:37.7655923Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:37.7656001Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.7656061Z         }
2022-11-23T01:32:37.7656172Z     }
2022-11-23T01:32:37.7656232Z }
2022-11-23T01:32:37.7656309Z ''')
2022-11-23T01:32:37.7656314Z 
2022-11-23T01:32:37.7656319Z 
2022-11-23T01:32:37.7656405Z async_compile.wait(globals())
2022-11-23T01:32:37.7656492Z del async_compile
2022-11-23T01:32:37.7656510Z 
2022-11-23T01:32:37.7656567Z def call(args):
2022-11-23T01:32:37.7656651Z     primals_1, tangents_1 = args
2022-11-23T01:32:37.7656721Z     args.clear()
2022-11-23T01:32:37.7656916Z     buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7657092Z     kernel_cpp_0(c_void_p(tangents_1.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.7657164Z     del primals_1
2022-11-23T01:32:37.7657236Z     del tangents_1
2022-11-23T01:32:37.7657301Z     return (None, buf0, )
2022-11-23T01:32:37.7657306Z 
2022-11-23T01:32:37.7657310Z 
2022-11-23T01:32:37.7657383Z if __name__ == "__main__":
2022-11-23T01:32:37.7657494Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7657613Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7657817Z     primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7658023Z     tangents_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7658150Z     print_performance(lambda: call([primals_1, tangents_1]))
2022-11-23T01:32:37.7658155Z 
2022-11-23T01:32:37.7658160Z 
2022-11-23T01:32:37.7658251Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7658307Z import torch
2022-11-23T01:32:37.7658375Z import random
2022-11-23T01:32:37.7658488Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7658605Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7658612Z 
2022-11-23T01:32:37.7658689Z aten = torch.ops.aten
2022-11-23T01:32:37.7658820Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7658911Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7659071Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T01:32:37.7659076Z 
2022-11-23T01:32:37.7659080Z 
2022-11-23T01:32:37.7659199Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7659402Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7659515Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T01:32:37.7659617Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.7659721Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.7659818Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.7659880Z {
2022-11-23T01:32:37.7659977Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7660026Z     {
2022-11-23T01:32:37.7660101Z         #pragma omp for 
2022-11-23T01:32:37.7660186Z         for(long i0=0; i0<100000; i0+=1)
2022-11-23T01:32:37.7660248Z         {
2022-11-23T01:32:37.7660310Z             {
2022-11-23T01:32:37.7660373Z                 {
2022-11-23T01:32:37.7660447Z                     auto tmp0 = seed0[0];
2022-11-23T01:32:37.7660537Z                     auto tmp6 = in_ptr1[i0];
2022-11-23T01:32:37.7660629Z                     auto tmp7 = in_ptr2[i0];
2022-11-23T01:32:37.7660729Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T01:32:37.7660866Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T01:32:37.7660968Z                     auto tmp3 = static_cast<float>(0.33);
2022-11-23T01:32:37.7661058Z                     auto tmp4 = tmp2 > tmp3;
2022-11-23T01:32:37.7661149Z                     auto tmp5 = static_cast<float>(tmp4);
2022-11-23T01:32:37.7661271Z                     auto tmp8 = tmp6 * tmp7;
2022-11-23T01:32:37.7661360Z                     auto tmp9 = tmp5 * tmp8;
2022-11-23T01:32:37.7661472Z                     auto tmp10 = static_cast<float>(1.492537313432836);
2022-11-23T01:32:37.7661564Z                     auto tmp11 = tmp9 * tmp10;
2022-11-23T01:32:37.7661648Z                     out_ptr0[i0] = tmp11;
2022-11-23T01:32:37.7661713Z                 }
2022-11-23T01:32:37.7661775Z             }
2022-11-23T01:32:37.7661824Z         }
2022-11-23T01:32:37.7661913Z     }
2022-11-23T01:32:37.7661972Z }
2022-11-23T01:32:37.7662053Z ''')
2022-11-23T01:32:37.7662058Z 
2022-11-23T01:32:37.7662062Z 
2022-11-23T01:32:37.7662149Z async_compile.wait(globals())
2022-11-23T01:32:37.7662220Z del async_compile
2022-11-23T01:32:37.7662225Z 
2022-11-23T01:32:37.7662294Z def call(args):
2022-11-23T01:32:37.7662367Z     primals_1, primals_2 = args
2022-11-23T01:32:37.7662436Z     args.clear()
2022-11-23T01:32:37.7662566Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T01:32:37.7662765Z     buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7662974Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.7663045Z     del primals_2
2022-11-23T01:32:37.7663158Z     return (buf0, primals_1, seed_cpu_None.clone(), )
2022-11-23T01:32:37.7663163Z 
2022-11-23T01:32:37.7663167Z 
2022-11-23T01:32:37.7663244Z if __name__ == "__main__":
2022-11-23T01:32:37.7663342Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7663462Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7663652Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.7663856Z     primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7664054Z     primals_2 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7664180Z     print_performance(lambda: call([primals_1, primals_2]))
2022-11-23T01:32:37.7664185Z 
2022-11-23T01:32:37.7664189Z 
2022-11-23T01:32:37.7664280Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7664350Z import torch
2022-11-23T01:32:37.7664408Z import random
2022-11-23T01:32:37.7664608Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7664734Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7664739Z 
2022-11-23T01:32:37.7664819Z aten = torch.ops.aten
2022-11-23T01:32:37.7664954Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7665045Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7665049Z 
2022-11-23T01:32:37.7665054Z 
2022-11-23T01:32:37.7665190Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7665398Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7665504Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:37.7665611Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.7665714Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.7665813Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.7665875Z {
2022-11-23T01:32:37.7665972Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7666036Z     {
2022-11-23T01:32:37.7666099Z         #pragma omp for 
2022-11-23T01:32:37.7666187Z         for(long i0=0; i0<100000; i0+=1)
2022-11-23T01:32:37.7666252Z         {
2022-11-23T01:32:37.7666316Z             {
2022-11-23T01:32:37.7666382Z                 {
2022-11-23T01:32:37.7666473Z                     auto tmp0 = in_ptr0[0];
2022-11-23T01:32:37.7666566Z                     auto tmp6 = in_ptr1[i0];
2022-11-23T01:32:37.7666645Z                     auto tmp10 = in_ptr2[i0];
2022-11-23T01:32:37.7666746Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T01:32:37.7666881Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T01:32:37.7667022Z                     auto tmp3 = static_cast<float>(0.33);
2022-11-23T01:32:37.7667115Z                     auto tmp4 = tmp2 > tmp3;
2022-11-23T01:32:37.7667222Z                     auto tmp5 = static_cast<float>(tmp4);
2022-11-23T01:32:37.7667313Z                     auto tmp7 = tmp5 * tmp6;
2022-11-23T01:32:37.7667413Z                     auto tmp8 = static_cast<float>(1.492537313432836);
2022-11-23T01:32:37.7667539Z                     auto tmp9 = tmp7 * tmp8;
2022-11-23T01:32:37.7667633Z                     auto tmp11 = tmp9 * tmp10;
2022-11-23T01:32:37.7667719Z                     out_ptr0[i0] = tmp11;
2022-11-23T01:32:37.7667784Z                 }
2022-11-23T01:32:37.7667849Z             }
2022-11-23T01:32:37.7667912Z         }
2022-11-23T01:32:37.7667960Z     }
2022-11-23T01:32:37.7668021Z }
2022-11-23T01:32:37.7668101Z ''')
2022-11-23T01:32:37.7668107Z 
2022-11-23T01:32:37.7668110Z 
2022-11-23T01:32:37.7668202Z async_compile.wait(globals())
2022-11-23T01:32:37.7668276Z del async_compile
2022-11-23T01:32:37.7668281Z 
2022-11-23T01:32:37.7668351Z def call(args):
2022-11-23T01:32:37.7668462Z     primals_1, philox_seed_like, tangents_1 = args
2022-11-23T01:32:37.7668521Z     args.clear()
2022-11-23T01:32:37.7668719Z     buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7668936Z     kernel_cpp_0(c_void_p(philox_seed_like.data_ptr()), c_void_p(tangents_1.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.7669018Z     del philox_seed_like
2022-11-23T01:32:37.7669090Z     del primals_1
2022-11-23T01:32:37.7669162Z     del tangents_1
2022-11-23T01:32:37.7669241Z     return (None, buf0, )
2022-11-23T01:32:37.7669246Z 
2022-11-23T01:32:37.7669250Z 
2022-11-23T01:32:37.7669326Z if __name__ == "__main__":
2022-11-23T01:32:37.7669425Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7669547Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7669754Z     primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7669955Z     philox_seed_like = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.7670160Z     tangents_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7670307Z     print_performance(lambda: call([primals_1, philox_seed_like, tangents_1]))
2022-11-23T01:32:37.7670686Z [2022-11-23 01:24:11,812] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cn/ccnvvjcfforziinitmjelq6lm35yirsryxg6qgeyswtrlb2ogxtg.py
2022-11-23T01:32:37.7670952Z [2022-11-23 01:24:11,813] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling BACKWARDS graph 294
2022-11-23T01:32:37.7670958Z 
2022-11-23T01:32:37.7671026Z ok (8.079s)
2022-11-23T01:32:37.7671327Z   test_lowmem_dropout2_cpu (__main__.CpuTests) ... [2022-11-23 01:24:11,968] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7671602Z [2022-11-23 01:24:11,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4212
2022-11-23T01:32:37.7671814Z [2022-11-23 01:24:11,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF m []
2022-11-23T01:32:37.7672059Z [2022-11-23 01:24:11,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()]
2022-11-23T01:32:37.7672340Z [2022-11-23 01:24:11,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()]
2022-11-23T01:32:37.7672589Z [2022-11-23 01:24:11,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7672824Z [2022-11-23 01:24:11,992] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7673065Z [2022-11-23 01:24:11,994] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:37.7673303Z [2022-11-23 01:24:12,015] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:37.7673508Z [2022-11-23 01:24:12,015] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7673645Z  __compiled_fn_302 <eval_with_key>.1884 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7673729Z placeholder, x, x, (), {}
2022-11-23T01:32:37.7673813Z call_module, m_0, m_0, (x,), {}
2022-11-23T01:32:37.7673898Z call_module, m_1, m_1, (m_0,), {}
2022-11-23T01:32:37.7674007Z call_module, m_2, m_2, (m_1,), {}
2022-11-23T01:32:37.7674092Z call_module, m_3, m_3, (m_2,), {}
2022-11-23T01:32:37.7674171Z output, output, output, ((m_3,),), {}
2022-11-23T01:32:37.7674176Z 
2022-11-23T01:32:37.7674457Z [2022-11-23 01:24:12,016] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 4210 
2022-11-23T01:32:37.7674550Z 4212           0 LOAD_DEREF               0 (m)
2022-11-23T01:32:37.7674641Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:37.7674736Z                4 CALL_FUNCTION            1
2022-11-23T01:32:37.7674810Z                6 RETURN_VALUE
2022-11-23T01:32:37.7674815Z 
2022-11-23T01:32:37.7674879Z  
2022-11-23T01:32:37.7675158Z [2022-11-23 01:24:12,016] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 4210 
2022-11-23T01:32:37.7675252Z 4210           0 LOAD_GLOBAL              0 (__compiled_fn_302)
2022-11-23T01:32:37.7675342Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:37.7675435Z                4 CALL_FUNCTION            1
2022-11-23T01:32:37.7675527Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7675604Z                8 RETURN_VALUE
2022-11-23T01:32:37.7675609Z 
2022-11-23T01:32:37.7675667Z  
2022-11-23T01:32:37.7675846Z [2022-11-23 01:24:12,017] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7675901Z  - 
2022-11-23T01:32:37.7676017Z             local 'm' NN_MODULE
2022-11-23T01:32:37.7676080Z             {
2022-11-23T01:32:37.7676215Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7676373Z                 'code': ['___check_obj_id(m, 140123412428240)'],
2022-11-23T01:32:37.7676587Z                 'obj_weakref': <weakref at 0x7f71c465a290; to 'Sequential' at 0x7f710638f5d0>
2022-11-23T01:32:37.7676822Z                 'guarded_class': <weakref at 0x7f71ce5a3cb0; to 'type' at 0x6190005b8ba0 (Sequential)>
2022-11-23T01:32:37.7676887Z             }
2022-11-23T01:32:37.7676937Z             
2022-11-23T01:32:37.7677007Z  - 
2022-11-23T01:32:37.7677255Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:37.7677320Z             {
2022-11-23T01:32:37.7677465Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7677571Z                 'code': None,
2022-11-23T01:32:37.7677766Z                 'obj_weakref': <weakref at 0x7f7106cb0e30; to 'Tensor' at 0x7f71c1267950>
2022-11-23T01:32:37.7678017Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7678084Z             }
2022-11-23T01:32:37.7678148Z             
2022-11-23T01:32:37.7678218Z  - 
2022-11-23T01:32:37.7678358Z             local_nn_module 'm[0]' NN_MODULE
2022-11-23T01:32:37.7678422Z             {
2022-11-23T01:32:37.7678526Z                 'guard_types': None,
2022-11-23T01:32:37.7678631Z                 'code': None,
2022-11-23T01:32:37.7678748Z                 'obj_weakref': None
2022-11-23T01:32:37.7678869Z                 'guarded_class': None
2022-11-23T01:32:37.7678936Z             }
2022-11-23T01:32:37.7678999Z             
2022-11-23T01:32:37.7679069Z  - 
2022-11-23T01:32:37.7679192Z             local_nn_module 'm[1]' NN_MODULE
2022-11-23T01:32:37.7679254Z             {
2022-11-23T01:32:37.7679371Z                 'guard_types': None,
2022-11-23T01:32:37.7679475Z                 'code': None,
2022-11-23T01:32:37.7679589Z                 'obj_weakref': None
2022-11-23T01:32:37.7679706Z                 'guarded_class': None
2022-11-23T01:32:37.7679767Z             }
2022-11-23T01:32:37.7679869Z             
2022-11-23T01:32:37.7679942Z  - 
2022-11-23T01:32:37.7680077Z             local_nn_module 'm[2]' NN_MODULE
2022-11-23T01:32:37.7680141Z             {
2022-11-23T01:32:37.7680259Z                 'guard_types': None,
2022-11-23T01:32:37.7680364Z                 'code': None,
2022-11-23T01:32:37.7680466Z                 'obj_weakref': None
2022-11-23T01:32:37.7680584Z                 'guarded_class': None
2022-11-23T01:32:37.7680647Z             }
2022-11-23T01:32:37.7680748Z             
2022-11-23T01:32:37.7680817Z  - 
2022-11-23T01:32:37.7680953Z             local_nn_module 'm[3]' NN_MODULE
2022-11-23T01:32:37.7681016Z             {
2022-11-23T01:32:37.7681119Z                 'guard_types': None,
2022-11-23T01:32:37.7681224Z                 'code': None,
2022-11-23T01:32:37.7681340Z                 'obj_weakref': None
2022-11-23T01:32:37.7681457Z                 'guarded_class': None
2022-11-23T01:32:37.7681519Z             }
2022-11-23T01:32:37.7681583Z             
2022-11-23T01:32:37.7681843Z [2022-11-23 01:24:12,146] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 295
2022-11-23T01:32:37.7682086Z [2022-11-23 01:24:12,148] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:32:37.7682455Z [2022-11-23 01:24:14,751] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ku/ckuhtnmsytsgm66lllreummitqtlw2c4howl5fwejho3zhrvu7py.py
2022-11-23T01:32:37.7682715Z [2022-11-23 01:24:14,751] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 295
2022-11-23T01:32:37.7682965Z [2022-11-23 01:24:14,756] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling BACKWARDS graph 295
2022-11-23T01:32:37.7683328Z [2022-11-23 01:24:17,385] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vf/cvfnffktomt6pcfwj2hu7y5c75nyx6web6y6uyc6jmf5lza6whlz.py
2022-11-23T01:32:37.7683590Z [2022-11-23 01:24:17,386] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling BACKWARDS graph 295
2022-11-23T01:32:37.7683598Z 
2022-11-23T01:32:37.7683690Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7683757Z import torch
2022-11-23T01:32:37.7683827Z import random
2022-11-23T01:32:37.7683929Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7684049Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7684054Z 
2022-11-23T01:32:37.7684131Z aten = torch.ops.aten
2022-11-23T01:32:37.7684264Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7684355Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7684516Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T01:32:37.7684521Z 
2022-11-23T01:32:37.7684526Z 
2022-11-23T01:32:37.7684657Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7684860Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7684966Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.7685065Z                        const long* __restrict__ seed0,
2022-11-23T01:32:37.7685160Z                        bool* __restrict__ out_ptr0)
2022-11-23T01:32:37.7685220Z {
2022-11-23T01:32:37.7685319Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7685380Z     {
2022-11-23T01:32:37.7685454Z         #pragma omp for 
2022-11-23T01:32:37.7685525Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:32:37.7685588Z         {
2022-11-23T01:32:37.7685650Z             {
2022-11-23T01:32:37.7685714Z                 {
2022-11-23T01:32:37.7685800Z                     auto tmp0 = seed0[0];
2022-11-23T01:32:37.7685896Z                     auto tmp7 = in_out_ptr0[i0];
2022-11-23T01:32:37.7685999Z                     auto tmp1 = static_cast<int>(65535);
2022-11-23T01:32:37.7686077Z                     auto tmp2 = tmp0 ^ tmp1;
2022-11-23T01:32:37.7686176Z                     auto tmp3 = static_cast<int>(i0);
2022-11-23T01:32:37.7686342Z                     auto tmp4 = static_cast<float>(normalized_rand_cpu(tmp2, tmp3));;
2022-11-23T01:32:37.7686446Z                     auto tmp5 = static_cast<float>(0.5);
2022-11-23T01:32:37.7686535Z                     auto tmp6 = tmp4 < tmp5;
2022-11-23T01:32:37.7686640Z                     auto tmp8 = static_cast<float>(tmp6);
2022-11-23T01:32:37.7686729Z                     auto tmp9 = tmp8 / tmp5;
2022-11-23T01:32:37.7686808Z                     auto tmp10 = tmp7 * tmp9;
2022-11-23T01:32:37.7686936Z                     out_ptr0[i0] = tmp6;
2022-11-23T01:32:37.7687024Z                     in_out_ptr0[i0] = tmp10;
2022-11-23T01:32:37.7687087Z                 }
2022-11-23T01:32:37.7687150Z             }
2022-11-23T01:32:37.7687210Z         }
2022-11-23T01:32:37.7687271Z     }
2022-11-23T01:32:37.7687317Z }
2022-11-23T01:32:37.7687396Z ''')
2022-11-23T01:32:37.7687401Z 
2022-11-23T01:32:37.7687405Z 
2022-11-23T01:32:37.7687537Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.7687744Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7687859Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.7687958Z                        const long* __restrict__ seed0,
2022-11-23T01:32:37.7688053Z                        bool* __restrict__ out_ptr0)
2022-11-23T01:32:37.7688112Z {
2022-11-23T01:32:37.7688195Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7688254Z     {
2022-11-23T01:32:37.7688332Z         #pragma omp for 
2022-11-23T01:32:37.7688416Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:32:37.7688476Z         {
2022-11-23T01:32:37.7688540Z             {
2022-11-23T01:32:37.7688591Z                 {
2022-11-23T01:32:37.7688678Z                     auto tmp0 = seed0[0];
2022-11-23T01:32:37.7688774Z                     auto tmp7 = in_out_ptr0[i0];
2022-11-23T01:32:37.7688878Z                     auto tmp1 = static_cast<int>(65535);
2022-11-23T01:32:37.7688968Z                     auto tmp2 = tmp0 ^ tmp1;
2022-11-23T01:32:37.7689079Z                     auto tmp3 = static_cast<int>(256 + i0);
2022-11-23T01:32:37.7689218Z                     auto tmp4 = static_cast<float>(normalized_rand_cpu(tmp2, tmp3));;
2022-11-23T01:32:37.7689321Z                     auto tmp5 = static_cast<float>(0.5);
2022-11-23T01:32:37.7689398Z                     auto tmp6 = tmp4 < tmp5;
2022-11-23T01:32:37.7689502Z                     auto tmp8 = static_cast<float>(tmp6);
2022-11-23T01:32:37.7689592Z                     auto tmp9 = tmp8 / tmp5;
2022-11-23T01:32:37.7689682Z                     auto tmp10 = tmp7 * tmp9;
2022-11-23T01:32:37.7689766Z                     out_ptr0[i0] = tmp6;
2022-11-23T01:32:37.7689853Z                     in_out_ptr0[i0] = tmp10;
2022-11-23T01:32:37.7689916Z                 }
2022-11-23T01:32:37.7689966Z             }
2022-11-23T01:32:37.7690027Z         }
2022-11-23T01:32:37.7690088Z     }
2022-11-23T01:32:37.7690148Z }
2022-11-23T01:32:37.7690224Z ''')
2022-11-23T01:32:37.7690230Z 
2022-11-23T01:32:37.7690235Z 
2022-11-23T01:32:37.7690322Z async_compile.wait(globals())
2022-11-23T01:32:37.7690392Z del async_compile
2022-11-23T01:32:37.7690397Z 
2022-11-23T01:32:37.7690454Z def call(args):
2022-11-23T01:32:37.7690553Z     primals_1, primals_2, primals_3 = args
2022-11-23T01:32:37.7690624Z     args.clear()
2022-11-23T01:32:37.7690755Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T01:32:37.7690953Z     buf0 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7691084Z     aten.mm.out(primals_3, as_strided(primals_1, (32, 32), (1, 32)), out=buf0)
2022-11-23T01:32:37.7691154Z     del primals_1
2022-11-23T01:32:37.7691331Z     buf1 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.7691413Z     buf2 = buf0; del buf0  # reuse
2022-11-23T01:32:37.7691582Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(seed_cpu_None.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7691822Z     buf3 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7691945Z     aten.mm.out(buf2, as_strided(primals_2, (32, 32), (1, 32)), out=buf3)
2022-11-23T01:32:37.7692135Z     buf4 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.7692217Z     buf5 = buf3; del buf3  # reuse
2022-11-23T01:32:37.7692384Z     kernel_cpp_1(c_void_p(buf5.data_ptr()), c_void_p(seed_cpu_None.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:37.7692540Z     return (buf5, primals_3, buf1, buf2, buf4, as_strided(primals_2, (32, 32), (32, 1)), )
2022-11-23T01:32:37.7692558Z 
2022-11-23T01:32:37.7692562Z 
2022-11-23T01:32:37.7692625Z if __name__ == "__main__":
2022-11-23T01:32:37.7692737Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7692860Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7693052Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.7693256Z     primals_1 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7693454Z     primals_2 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7693653Z     primals_3 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7693777Z     print_performance(lambda: call([primals_1, primals_2, primals_3]))
2022-11-23T01:32:37.7693793Z 
2022-11-23T01:32:37.7693798Z 
2022-11-23T01:32:37.7693879Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7693948Z import torch
2022-11-23T01:32:37.7694016Z import random
2022-11-23T01:32:37.7694129Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7694247Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7694253Z 
2022-11-23T01:32:37.7694329Z aten = torch.ops.aten
2022-11-23T01:32:37.7694460Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7694538Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7694556Z 
2022-11-23T01:32:37.7694560Z 
2022-11-23T01:32:37.7694679Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7694879Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7694996Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.7695100Z                        const bool* __restrict__ in_ptr1,
2022-11-23T01:32:37.7695198Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.7695260Z {
2022-11-23T01:32:37.7695357Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7695406Z     {
2022-11-23T01:32:37.7695483Z         #pragma omp for 
2022-11-23T01:32:37.7695565Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:32:37.7695628Z         {
2022-11-23T01:32:37.7695692Z             {
2022-11-23T01:32:37.7695759Z                 {
2022-11-23T01:32:37.7695849Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.7695930Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:37.7696037Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:32:37.7696140Z                     auto tmp3 = static_cast<float>(0.5);
2022-11-23T01:32:37.7696231Z                     auto tmp4 = tmp2 / tmp3;
2022-11-23T01:32:37.7696319Z                     auto tmp5 = tmp0 * tmp4;
2022-11-23T01:32:37.7696402Z                     out_ptr0[i0] = tmp5;
2022-11-23T01:32:37.7696465Z                 }
2022-11-23T01:32:37.7696514Z             }
2022-11-23T01:32:37.7696577Z         }
2022-11-23T01:32:37.7696638Z     }
2022-11-23T01:32:37.7696697Z }
2022-11-23T01:32:37.7696773Z ''')
2022-11-23T01:32:37.7696778Z 
2022-11-23T01:32:37.7696783Z 
2022-11-23T01:32:37.7696914Z kernel_cpp_1 = async_compile.cpp('''
2022-11-23T01:32:37.7697116Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7697218Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.7697319Z                        const bool* __restrict__ in_ptr0)
2022-11-23T01:32:37.7697408Z {
2022-11-23T01:32:37.7697504Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7697566Z     {
2022-11-23T01:32:37.7697643Z         #pragma omp for 
2022-11-23T01:32:37.7697723Z         for(long i0=0; i0<256; i0+=1)
2022-11-23T01:32:37.7697772Z         {
2022-11-23T01:32:37.7697834Z             {
2022-11-23T01:32:37.7697898Z                 {
2022-11-23T01:32:37.7697993Z                     auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:37.7698109Z                     auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.7698215Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:32:37.7698319Z                     auto tmp3 = static_cast<float>(0.5);
2022-11-23T01:32:37.7698394Z                     auto tmp4 = tmp2 / tmp3;
2022-11-23T01:32:37.7698483Z                     auto tmp5 = tmp0 * tmp4;
2022-11-23T01:32:37.7698570Z                     in_out_ptr0[i0] = tmp5;
2022-11-23T01:32:37.7698633Z                 }
2022-11-23T01:32:37.7698697Z             }
2022-11-23T01:32:37.7698758Z         }
2022-11-23T01:32:37.7698806Z     }
2022-11-23T01:32:37.7698864Z }
2022-11-23T01:32:37.7698942Z ''')
2022-11-23T01:32:37.7698947Z 
2022-11-23T01:32:37.7698951Z 
2022-11-23T01:32:37.7699040Z async_compile.wait(globals())
2022-11-23T01:32:37.7699110Z del async_compile
2022-11-23T01:32:37.7699115Z 
2022-11-23T01:32:37.7699185Z def call(args):
2022-11-23T01:32:37.7699301Z     primals_3, lt, mul, lt_1, permute_4, tangents_1 = args
2022-11-23T01:32:37.7699373Z     args.clear()
2022-11-23T01:32:37.7699555Z     buf0 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7699722Z     kernel_cpp_0(c_void_p(tangents_1.data_ptr()), c_void_p(lt_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.7699786Z     del lt_1
2022-11-23T01:32:37.7699857Z     del tangents_1
2022-11-23T01:32:37.7700053Z     buf1 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7700169Z     aten.mm.out(as_strided(buf0, (32, 8), (1, 32)), mul, out=buf1)
2022-11-23T01:32:37.7700236Z     del mul
2022-11-23T01:32:37.7700418Z     buf2 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7700519Z     aten.mm.out(buf0, permute_4, out=buf2)
2022-11-23T01:32:37.7700585Z     del buf0
2022-11-23T01:32:37.7700657Z     del permute_4
2022-11-23T01:32:37.7700743Z     buf3 = buf2; del buf2  # reuse
2022-11-23T01:32:37.7700875Z     kernel_cpp_1(c_void_p(buf3.data_ptr()), c_void_p(lt.data_ptr()))
2022-11-23T01:32:37.7700941Z     del lt
2022-11-23T01:32:37.7701124Z     buf4 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7701248Z     aten.mm.out(as_strided(buf3, (32, 8), (1, 32)), primals_3, out=buf4)
2022-11-23T01:32:37.7701313Z     del buf3
2022-11-23T01:32:37.7701385Z     del primals_3
2022-11-23T01:32:37.7701515Z     return (as_strided(buf4, (32, 32), (32, 1)), as_strided(buf1, (32, 32), (32, 1)), None, )
2022-11-23T01:32:37.7701520Z 
2022-11-23T01:32:37.7701526Z 
2022-11-23T01:32:37.7701602Z if __name__ == "__main__":
2022-11-23T01:32:37.7701714Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7701837Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7702026Z     primals_3 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7702210Z     lt = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.7702403Z     mul = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7702589Z     lt_1 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.7702791Z     permute_4 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7702990Z     tangents_1 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7703141Z     print_performance(lambda: call([primals_3, lt, mul, lt_1, permute_4, tangents_1]))
2022-11-23T01:32:37.7703176Z 
2022-11-23T01:32:37.7703245Z ok (5.430s)
2022-11-23T01:32:37.7703546Z   test_masked_fill_cpu (__main__.CpuTests) ... [2022-11-23 01:24:17,398] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7703819Z [2022-11-23 01:24:17,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7704038Z [2022-11-23 01:24:17,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7704318Z [2022-11-23 01:24:17,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.7704693Z [2022-11-23 01:24:17,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.7705023Z [2022-11-23 01:24:17,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7705348Z [2022-11-23 01:24:17,399] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f641a540, file "inductor/test_torchinductor.py", line 2456> 
2022-11-23T01:32:37.7705449Z  2457           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.7705553Z                2 LOAD_METHOD              1 (masked_fill)
2022-11-23T01:32:37.7705634Z                4 LOAD_FAST                1 (value)
2022-11-23T01:32:37.7705726Z                6 LOAD_FAST                0 (mask)
2022-11-23T01:32:37.7705874Z                8 LOAD_CONST               1 (-10000.0)
2022-11-23T01:32:37.7705964Z               10 CALL_METHOD              3
2022-11-23T01:32:37.7706054Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:37.7706129Z               14 BINARY_ADD
2022-11-23T01:32:37.7706223Z               16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.7706325Z               18 LOAD_METHOD              1 (masked_fill)
2022-11-23T01:32:37.7706330Z 
2022-11-23T01:32:37.7706408Z 2458          20 LOAD_FAST                1 (value)
2022-11-23T01:32:37.7706500Z               22 LOAD_CONST               3 (2.0)
2022-11-23T01:32:37.7706584Z               24 BINARY_TRUE_DIVIDE
2022-11-23T01:32:37.7706678Z               26 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:37.7706780Z               28 LOAD_METHOD              3 (logical_not)
2022-11-23T01:32:37.7706871Z               30 LOAD_FAST                0 (mask)
2022-11-23T01:32:37.7706959Z               32 CALL_METHOD              1
2022-11-23T01:32:37.7707037Z               34 LOAD_CONST               4 (667)
2022-11-23T01:32:37.7707126Z               36 CALL_METHOD              3
2022-11-23T01:32:37.7707215Z               38 BUILD_TUPLE              2
2022-11-23T01:32:37.7707291Z               40 RETURN_VALUE
2022-11-23T01:32:37.7707353Z  
2022-11-23T01:32:37.7707358Z 
2022-11-23T01:32:37.7707627Z [2022-11-23 01:24:17,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2457
2022-11-23T01:32:37.7707844Z [2022-11-23 01:24:17,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.7708164Z [2022-11-23 01:24:17,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.7708416Z [2022-11-23 01:24:17,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable(aten.masked_fill)]
2022-11-23T01:32:37.7708706Z [2022-11-23 01:24:17,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T01:32:37.7709033Z [2022-11-23 01:24:17,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -10000.0 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7709392Z [2022-11-23 01:24:17,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.7709630Z [2022-11-23 01:24:17,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:37.7709947Z [2022-11-23 01:24:17,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7710191Z [2022-11-23 01:24:17,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.7710597Z [2022-11-23 01:24:17,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.7710864Z [2022-11-23 01:24:17,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2458
2022-11-23T01:32:37.7711157Z [2022-11-23 01:24:17,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TensorVariable(), TorchVariable(aten.masked_fill)]
2022-11-23T01:32:37.7711471Z [2022-11-23 01:24:17,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T01:32:37.7711838Z [2022-11-23 01:24:17,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.7712162Z [2022-11-23 01:24:17,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T01:32:37.7712650Z [2022-11-23 01:24:17,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.7713094Z [2022-11-23 01:24:17,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TorchVariable(<built-in method logical_not of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.7713574Z [2022-11-23 01:24:17,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TorchVariable(<built-in method logical_not of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.7713922Z [2022-11-23 01:24:17,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 667 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7714414Z [2022-11-23 01:24:17,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7714684Z [2022-11-23 01:24:17,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7714926Z [2022-11-23 01:24:17,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.7715257Z [2022-11-23 01:24:17,436] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f641a540, file "inductor/test_torchinductor.py", line 2456>
2022-11-23T01:32:37.7715500Z [2022-11-23 01:24:17,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.7715732Z [2022-11-23 01:24:17,436] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7715986Z [2022-11-23 01:24:17,438] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7716220Z [2022-11-23 01:24:17,447] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7716405Z [2022-11-23 01:24:17,448] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7716541Z  __compiled_fn_303 <eval_with_key>.1895 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7716628Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7716752Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.7716945Z call_function, masked_fill, aten.masked_fill, (ex_1_, ex_0_, -10000.0), {}
2022-11-23T01:32:37.7717241Z call_function, add, <built-in function add>, (masked_fill, 2), {}
2022-11-23T01:32:37.7717429Z call_function, truediv, <built-in function truediv>, (ex_1_, 2.0), {}
2022-11-23T01:32:37.7717662Z call_function, logical_not, <built-in method logical_not of type object at 0x7f71f2abebc0>, (ex_0_,), {}
2022-11-23T01:32:37.7717852Z call_function, masked_fill_1, aten.masked_fill, (truediv, logical_not, 667), {}
2022-11-23T01:32:37.7717964Z output, output, output, ((add, masked_fill_1),), {}
2022-11-23T01:32:37.7717970Z 
2022-11-23T01:32:37.7718248Z [2022-11-23 01:24:17,448] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7718341Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7718431Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7718528Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7718619Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7718682Z               8 RETURN_VALUE
2022-11-23T01:32:37.7718687Z 
2022-11-23T01:32:37.7718748Z  
2022-11-23T01:32:37.7719020Z [2022-11-23 01:24:17,448] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7719128Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_303)
2022-11-23T01:32:37.7719221Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7719312Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7719390Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7719465Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7719553Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.7719629Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.7719717Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.7719821Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.7719923Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7720011Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7720075Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.7720174Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7720260Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.7720335Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.7720424Z              30 BUILD_TUPLE              2
2022-11-23T01:32:37.7720497Z              32 RETURN_VALUE
2022-11-23T01:32:37.7720503Z 
2022-11-23T01:32:37.7720564Z  
2022-11-23T01:32:37.7720745Z [2022-11-23 01:24:17,450] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7720802Z  - 
2022-11-23T01:32:37.7720920Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7720983Z             {
2022-11-23T01:32:37.7721121Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7721306Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.7721423Z                 'obj_weakref': None
2022-11-23T01:32:37.7721646Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7721698Z             }
2022-11-23T01:32:37.7721760Z             
2022-11-23T01:32:37.7721830Z  - 
2022-11-23T01:32:37.7721951Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7722016Z             {
2022-11-23T01:32:37.7722157Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7722250Z                 'code': None,
2022-11-23T01:32:37.7722458Z                 'obj_weakref': <weakref at 0x7f7106793cb0; to 'Tensor' at 0x7f71c0f2da70>
2022-11-23T01:32:37.7722704Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7722770Z             }
2022-11-23T01:32:37.7722832Z             
2022-11-23T01:32:37.7722936Z  - 
2022-11-23T01:32:37.7723059Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.7723122Z             {
2022-11-23T01:32:37.7723249Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7723353Z                 'code': None,
2022-11-23T01:32:37.7723560Z                 'obj_weakref': <weakref at 0x7f70f162a050; to 'Tensor' at 0x7f70f163b5f0>
2022-11-23T01:32:37.7723834Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7723898Z             }
2022-11-23T01:32:37.7723961Z             
2022-11-23T01:32:37.7724028Z  - 
2022-11-23T01:32:37.7724146Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.7724206Z             {
2022-11-23T01:32:37.7724337Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7724505Z                 'code': ['___check_obj_id(model, 140123418489200)'],
2022-11-23T01:32:37.7724622Z                 'obj_weakref': None
2022-11-23T01:32:37.7724848Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.7724913Z             }
2022-11-23T01:32:37.7724963Z             
2022-11-23T01:32:37.7725031Z  - 
2022-11-23T01:32:37.7725151Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7725213Z             {
2022-11-23T01:32:37.7725348Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7725567Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7725683Z                 'obj_weakref': None
2022-11-23T01:32:37.7725886Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7725948Z             }
2022-11-23T01:32:37.7726011Z             
2022-11-23T01:32:37.7726078Z  - 
2022-11-23T01:32:37.7726207Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.7726269Z             {
2022-11-23T01:32:37.7726374Z                 'guard_types': None,
2022-11-23T01:32:37.7726479Z                 'code': None,
2022-11-23T01:32:37.7726593Z                 'obj_weakref': None
2022-11-23T01:32:37.7726710Z                 'guarded_class': None
2022-11-23T01:32:37.7726772Z             }
2022-11-23T01:32:37.7726833Z             
2022-11-23T01:32:37.7726899Z  - 
2022-11-23T01:32:37.7727017Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.7727077Z             {
2022-11-23T01:32:37.7727194Z                 'guard_types': None,
2022-11-23T01:32:37.7727303Z                 'code': None,
2022-11-23T01:32:37.7727417Z                 'obj_weakref': None
2022-11-23T01:32:37.7727534Z                 'guarded_class': None
2022-11-23T01:32:37.7727597Z             }
2022-11-23T01:32:37.7727647Z             
2022-11-23T01:32:37.7727906Z [2022-11-23 01:24:17,469] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 296
2022-11-23T01:32:37.7728274Z [2022-11-23 01:24:20,043] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nq/cnqthv4r3yrsivluyatnt66h3gyd7iarfbuhw7ycwb4ubteu4hde.py
2022-11-23T01:32:37.7728541Z [2022-11-23 01:24:20,043] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 296
2022-11-23T01:32:37.7728546Z 
2022-11-23T01:32:37.7728638Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7728707Z import torch
2022-11-23T01:32:37.7728776Z import random
2022-11-23T01:32:37.7728890Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7729000Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7729005Z 
2022-11-23T01:32:37.7729082Z aten = torch.ops.aten
2022-11-23T01:32:37.7729215Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7729305Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7729310Z 
2022-11-23T01:32:37.7729315Z 
2022-11-23T01:32:37.7729448Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7729652Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7729803Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T01:32:37.7729911Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.7729996Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.7730090Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.7730149Z {
2022-11-23T01:32:37.7730247Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7730309Z     {
2022-11-23T01:32:37.7730432Z         #pragma omp for 
2022-11-23T01:32:37.7730517Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:37.7730567Z         {
2022-11-23T01:32:37.7730645Z             #pragma GCC ivdep
2022-11-23T01:32:37.7730732Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T01:32:37.7730794Z             {
2022-11-23T01:32:37.7730859Z                 {
2022-11-23T01:32:37.7730925Z                     {
2022-11-23T01:32:37.7731019Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:37.7731109Z                         auto tmp2 = in_ptr1[i1 + (16*i0)];
2022-11-23T01:32:37.7731278Z                         auto tmp1 = static_cast<float>(-10000.0);
2022-11-23T01:32:37.7731377Z                         auto tmp3 = tmp0 ? tmp1 : tmp2;
2022-11-23T01:32:37.7731480Z                         auto tmp4 = static_cast<float>(2);
2022-11-23T01:32:37.7731570Z                         auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.7731661Z                         auto tmp6 = tmp0 == 0;
2022-11-23T01:32:37.7731773Z                         auto tmp7 = static_cast<float>(667.0);
2022-11-23T01:32:37.7731867Z                         auto tmp8 = static_cast<float>(2.0);
2022-11-23T01:32:37.7731960Z                         auto tmp9 = tmp2 / tmp8;
2022-11-23T01:32:37.7732062Z                         auto tmp10 = tmp6 ? tmp7 : tmp9;
2022-11-23T01:32:37.7732157Z                         out_ptr0[i1 + (16*i0)] = tmp5;
2022-11-23T01:32:37.7732253Z                         out_ptr1[i1 + (16*i0)] = tmp10;
2022-11-23T01:32:37.7732320Z                     }
2022-11-23T01:32:37.7732389Z                 }
2022-11-23T01:32:37.7732439Z             }
2022-11-23T01:32:37.7732500Z         }
2022-11-23T01:32:37.7732561Z     }
2022-11-23T01:32:37.7732619Z }
2022-11-23T01:32:37.7732694Z ''')
2022-11-23T01:32:37.7732700Z 
2022-11-23T01:32:37.7732704Z 
2022-11-23T01:32:37.7732793Z async_compile.wait(globals())
2022-11-23T01:32:37.7732864Z del async_compile
2022-11-23T01:32:37.7732870Z 
2022-11-23T01:32:37.7732927Z def call(args):
2022-11-23T01:32:37.7733003Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.7733076Z     args.clear()
2022-11-23T01:32:37.7733274Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7733467Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7733656Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7733723Z     del arg0_1
2022-11-23T01:32:37.7733791Z     del arg1_1
2022-11-23T01:32:37.7733855Z     return (buf0, buf1, )
2022-11-23T01:32:37.7733860Z 
2022-11-23T01:32:37.7733864Z 
2022-11-23T01:32:37.7733941Z if __name__ == "__main__":
2022-11-23T01:32:37.7734054Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7734175Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7734363Z     arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.7734562Z     arg1_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7734675Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.7734680Z 
2022-11-23T01:32:37.7734745Z ok (2.660s)
2022-11-23T01:32:37.7735057Z   test_masked_fill_promotion_cpu (__main__.CpuTests) ... [2022-11-23 01:24:20,063] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:37.7735326Z [2022-11-23 01:24:20,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2471
2022-11-23T01:32:37.7735571Z [2022-11-23 01:24:20,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.7735886Z [2022-11-23 01:24:20,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.7736150Z [2022-11-23 01:24:20,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable(aten.masked_fill)]
2022-11-23T01:32:37.7736469Z [2022-11-23 01:24:20,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T01:32:37.7736796Z [2022-11-23 01:24:20,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7737278Z [2022-11-23 01:24:20,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.7737712Z [2022-11-23 01:24:20,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.5 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.7738191Z [2022-11-23 01:24:20,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(float)]
2022-11-23T01:32:37.7738540Z [2022-11-23 01:24:20,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7738786Z [2022-11-23 01:24:20,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7739008Z [2022-11-23 01:24:20,088] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:37.7739247Z [2022-11-23 01:24:20,090] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:37.7739482Z [2022-11-23 01:24:20,099] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:37.7739667Z [2022-11-23 01:24:20,099] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7739803Z  __compiled_fn_304 <eval_with_key>.1901 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7739892Z placeholder, mask, mask, (), {}
2022-11-23T01:32:37.7739985Z placeholder, value, value, (), {}
2022-11-23T01:32:37.7740211Z call_function, tensor, <built-in method tensor of type object at 0x7f71f2abebc0>, (3.5,), {}
2022-11-23T01:32:37.7740335Z call_function, masked_fill, aten.masked_fill, (value, mask, tensor), {}
2022-11-23T01:32:37.7740439Z output, output, output, ((masked_fill,),), {}
2022-11-23T01:32:37.7740447Z 
2022-11-23T01:32:37.7740723Z [2022-11-23 01:24:20,100] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 2470 
2022-11-23T01:32:37.7740815Z 2471           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.7740914Z                2 LOAD_METHOD              1 (masked_fill)
2022-11-23T01:32:37.7741007Z                4 LOAD_FAST                1 (value)
2022-11-23T01:32:37.7741098Z                6 LOAD_FAST                0 (mask)
2022-11-23T01:32:37.7741191Z                8 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:37.7741271Z               10 LOAD_METHOD              3 (tensor)
2022-11-23T01:32:37.7741359Z               12 LOAD_CONST               1 (3.5)
2022-11-23T01:32:37.7741446Z               14 CALL_METHOD              1
2022-11-23T01:32:37.7741532Z               16 CALL_METHOD              3
2022-11-23T01:32:37.7741607Z               18 RETURN_VALUE
2022-11-23T01:32:37.7741612Z 
2022-11-23T01:32:37.7741671Z  
2022-11-23T01:32:37.7741980Z [2022-11-23 01:24:20,100] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 2470 
2022-11-23T01:32:37.7742075Z 2470           0 LOAD_GLOBAL              4 (__compiled_fn_304)
2022-11-23T01:32:37.7742163Z                2 LOAD_FAST                0 (mask)
2022-11-23T01:32:37.7742252Z                4 LOAD_FAST                1 (value)
2022-11-23T01:32:37.7742341Z                6 CALL_FUNCTION            2
2022-11-23T01:32:37.7742467Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7742542Z               10 RETURN_VALUE
2022-11-23T01:32:37.7742547Z 
2022-11-23T01:32:37.7742606Z  
2022-11-23T01:32:37.7742787Z [2022-11-23 01:24:20,101] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7742843Z  - 
2022-11-23T01:32:37.7742966Z             local 'mask' TENSOR_MATCH
2022-11-23T01:32:37.7743028Z             {
2022-11-23T01:32:37.7743169Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7743276Z                 'code': None,
2022-11-23T01:32:37.7743485Z                 'obj_weakref': <weakref at 0x7f7104e60110; to 'Tensor' at 0x7f70f162a110>
2022-11-23T01:32:37.7743734Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7743787Z             }
2022-11-23T01:32:37.7743854Z             
2022-11-23T01:32:37.7743924Z  - 
2022-11-23T01:32:37.7744047Z             local 'value' TENSOR_MATCH
2022-11-23T01:32:37.7744112Z             {
2022-11-23T01:32:37.7744256Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7744365Z                 'code': None,
2022-11-23T01:32:37.7744646Z                 'obj_weakref': <weakref at 0x7f7104e63e30; to 'Tensor' at 0x7f71069ad350>
2022-11-23T01:32:37.7744895Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7744959Z             }
2022-11-23T01:32:37.7745024Z             
2022-11-23T01:32:37.7745092Z  - 
2022-11-23T01:32:37.7745227Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.7745293Z             {
2022-11-23T01:32:37.7745401Z                 'guard_types': None,
2022-11-23T01:32:37.7745506Z                 'code': None,
2022-11-23T01:32:37.7745624Z                 'obj_weakref': None
2022-11-23T01:32:37.7745743Z                 'guarded_class': None
2022-11-23T01:32:37.7745808Z             }
2022-11-23T01:32:37.7745873Z             
2022-11-23T01:32:37.7745928Z  - 
2022-11-23T01:32:37.7746062Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.7746127Z             {
2022-11-23T01:32:37.7746251Z                 'guard_types': None,
2022-11-23T01:32:37.7746358Z                 'code': None,
2022-11-23T01:32:37.7746498Z                 'obj_weakref': None
2022-11-23T01:32:37.7746618Z                 'guarded_class': None
2022-11-23T01:32:37.7746668Z             }
2022-11-23T01:32:37.7746732Z             
2022-11-23T01:32:37.7746992Z [2022-11-23 01:24:20,116] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 297
2022-11-23T01:32:37.7747361Z [2022-11-23 01:24:22,716] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/aj/cajrgvhmfqj37kbwtjpcbplj26mv3xo5t2645au3a3iig44ig35l.py
2022-11-23T01:32:37.7747626Z [2022-11-23 01:24:22,716] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 297
2022-11-23T01:32:37.7747860Z [2022-11-23 01:24:22,728] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:37.7748129Z [2022-11-23 01:24:22,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2471
2022-11-23T01:32:37.7748346Z [2022-11-23 01:24:22,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.7748661Z [2022-11-23 01:24:22,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.7748911Z [2022-11-23 01:24:22,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable(aten.masked_fill)]
2022-11-23T01:32:37.7749240Z [2022-11-23 01:24:22,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(aten.masked_fill), TensorVariable()]
2022-11-23T01:32:37.7749566Z [2022-11-23 01:24:22,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7750070Z [2022-11-23 01:24:22,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.7750510Z [2022-11-23 01:24:22,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.5 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.7750987Z [2022-11-23 01:24:22,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(float)]
2022-11-23T01:32:37.7751338Z [2022-11-23 01:24:22,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7751587Z [2022-11-23 01:24:22,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7751820Z [2022-11-23 01:24:22,752] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:37.7752062Z [2022-11-23 01:24:22,754] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:37.7752297Z [2022-11-23 01:24:22,762] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:37.7752472Z [2022-11-23 01:24:22,763] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7752610Z  __compiled_fn_305 <eval_with_key>.1907 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7752703Z placeholder, mask, mask, (), {}
2022-11-23T01:32:37.7752796Z placeholder, value, value, (), {}
2022-11-23T01:32:37.7753025Z call_function, tensor, <built-in method tensor of type object at 0x7f71f2abebc0>, (3.5,), {}
2022-11-23T01:32:37.7753166Z call_function, masked_fill, aten.masked_fill, (value, mask, tensor), {}
2022-11-23T01:32:37.7753271Z output, output, output, ((masked_fill,),), {}
2022-11-23T01:32:37.7753278Z 
2022-11-23T01:32:37.7753551Z [2022-11-23 01:24:22,763] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 2470 
2022-11-23T01:32:37.7753645Z 2471           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.7753735Z                2 LOAD_METHOD              1 (masked_fill)
2022-11-23T01:32:37.7753826Z                4 LOAD_FAST                1 (value)
2022-11-23T01:32:37.7753919Z                6 LOAD_FAST                0 (mask)
2022-11-23T01:32:37.7754010Z                8 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:37.7754103Z               10 LOAD_METHOD              3 (tensor)
2022-11-23T01:32:37.7754194Z               12 LOAD_CONST               1 (3.5)
2022-11-23T01:32:37.7754281Z               14 CALL_METHOD              1
2022-11-23T01:32:37.7754355Z               16 CALL_METHOD              3
2022-11-23T01:32:37.7754434Z               18 RETURN_VALUE
2022-11-23T01:32:37.7754439Z 
2022-11-23T01:32:37.7754499Z  
2022-11-23T01:32:37.7754776Z [2022-11-23 01:24:22,763] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 2470 
2022-11-23T01:32:37.7754885Z 2470           0 LOAD_GLOBAL              4 (__compiled_fn_305)
2022-11-23T01:32:37.7754973Z                2 LOAD_FAST                0 (mask)
2022-11-23T01:32:37.7755062Z                4 LOAD_FAST                1 (value)
2022-11-23T01:32:37.7755166Z                6 CALL_FUNCTION            2
2022-11-23T01:32:37.7755256Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7755329Z               10 RETURN_VALUE
2022-11-23T01:32:37.7755333Z 
2022-11-23T01:32:37.7755392Z  
2022-11-23T01:32:37.7755576Z [2022-11-23 01:24:22,764] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7755644Z  - 
2022-11-23T01:32:37.7755767Z             local 'mask' TENSOR_MATCH
2022-11-23T01:32:37.7755831Z             {
2022-11-23T01:32:37.7755987Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7756093Z                 'code': None,
2022-11-23T01:32:37.7756300Z                 'obj_weakref': <weakref at 0x7f70f1638530; to 'Tensor' at 0x7f70f162a770>
2022-11-23T01:32:37.7756547Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7756611Z             }
2022-11-23T01:32:37.7756673Z             
2022-11-23T01:32:37.7756741Z  - 
2022-11-23T01:32:37.7756855Z             local 'value' TENSOR_MATCH
2022-11-23T01:32:37.7756917Z             {
2022-11-23T01:32:37.7757059Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7757319Z                 'code': None,
2022-11-23T01:32:37.7757529Z                 'obj_weakref': <weakref at 0x7f70f1638710; to 'Tensor' at 0x7f71c4695cb0>
2022-11-23T01:32:37.7757778Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7757845Z             }
2022-11-23T01:32:37.7757895Z             
2022-11-23T01:32:37.7757963Z  - 
2022-11-23T01:32:37.7758095Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.7758159Z             {
2022-11-23T01:32:37.7758278Z                 'guard_types': None,
2022-11-23T01:32:37.7758383Z                 'code': None,
2022-11-23T01:32:37.7758499Z                 'obj_weakref': None
2022-11-23T01:32:37.7758606Z                 'guarded_class': None
2022-11-23T01:32:37.7758670Z             }
2022-11-23T01:32:37.7758734Z             
2022-11-23T01:32:37.7758804Z  - 
2022-11-23T01:32:37.7758935Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.7759000Z             {
2022-11-23T01:32:37.7759105Z                 'guard_types': None,
2022-11-23T01:32:37.7759209Z                 'code': None,
2022-11-23T01:32:37.7759324Z                 'obj_weakref': None
2022-11-23T01:32:37.7759443Z                 'guarded_class': None
2022-11-23T01:32:37.7759507Z             }
2022-11-23T01:32:37.7759574Z             
2022-11-23T01:32:37.7759833Z [2022-11-23 01:24:22,782] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 298
2022-11-23T01:32:37.7760189Z [2022-11-23 01:24:25,350] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/in/ciniw2o7upueguoy42duvmgc25dsr6gtymefal6xqctwvih42hhh.py
2022-11-23T01:32:37.7760452Z [2022-11-23 01:24:25,351] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 298
2022-11-23T01:32:37.7760460Z 
2022-11-23T01:32:37.7760554Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7760622Z import torch
2022-11-23T01:32:37.7760691Z import random
2022-11-23T01:32:37.7760803Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7760923Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7760928Z 
2022-11-23T01:32:37.7761006Z aten = torch.ops.aten
2022-11-23T01:32:37.7761128Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7761221Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7761226Z 
2022-11-23T01:32:37.7761231Z 
2022-11-23T01:32:37.7761362Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7761568Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7761685Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T01:32:37.7761789Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.7761887Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.7761999Z {
2022-11-23T01:32:37.7762084Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7762144Z     {
2022-11-23T01:32:37.7762220Z         #pragma omp for 
2022-11-23T01:32:37.7762303Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:37.7762367Z         {
2022-11-23T01:32:37.7762451Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:37.7762519Z             {
2022-11-23T01:32:37.7762644Z                 float g_tmp_buffer_in_ptr0[16] = {0};
2022-11-23T01:32:37.7762770Z                 flag_to_float(in_ptr0 + 16*i1, g_tmp_buffer_in_ptr0, 16);
2022-11-23T01:32:37.7762921Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(g_tmp_buffer_in_ptr0);
2022-11-23T01:32:37.7763059Z                 auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr1 + (16*i0) + (16*i1));
2022-11-23T01:32:37.7763193Z                 auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3.5));
2022-11-23T01:32:37.7763318Z                 auto tmp3 = decltype(tmp1)::blendv(tmp2, tmp1, tmp0);
2022-11-23T01:32:37.7763422Z                 tmp3.store(out_ptr0 + (16*i0) + (16*i1));
2022-11-23T01:32:37.7763487Z             }
2022-11-23T01:32:37.7763567Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.7763653Z             for(long i1=16; i1<16; i1+=1)
2022-11-23T01:32:37.7763719Z             {
2022-11-23T01:32:37.7763804Z                 auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:37.7763900Z                 auto tmp2 = in_ptr1[i1 + (16*i0)];
2022-11-23T01:32:37.7764003Z                 auto tmp1 = static_cast<float>(3.5);
2022-11-23T01:32:37.7764097Z                 auto tmp3 = tmp0 ? tmp1 : tmp2;
2022-11-23T01:32:37.7764175Z                 out_ptr0[i1 + (16*i0)] = tmp3;
2022-11-23T01:32:37.7764239Z             }
2022-11-23T01:32:37.7764303Z         }
2022-11-23T01:32:37.7764365Z     }
2022-11-23T01:32:37.7764427Z }
2022-11-23T01:32:37.7764508Z ''')
2022-11-23T01:32:37.7764513Z 
2022-11-23T01:32:37.7764517Z 
2022-11-23T01:32:37.7764606Z async_compile.wait(globals())
2022-11-23T01:32:37.7764668Z del async_compile
2022-11-23T01:32:37.7764673Z 
2022-11-23T01:32:37.7764742Z def call(args):
2022-11-23T01:32:37.7764817Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.7764890Z     args.clear()
2022-11-23T01:32:37.7765090Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7765249Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.7765318Z     del arg0_1
2022-11-23T01:32:37.7765371Z     del arg1_1
2022-11-23T01:32:37.7765440Z     return (buf0, )
2022-11-23T01:32:37.7765445Z 
2022-11-23T01:32:37.7765449Z 
2022-11-23T01:32:37.7765524Z if __name__ == "__main__":
2022-11-23T01:32:37.7765635Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7765755Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7765944Z     arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.7766144Z     arg1_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7766257Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.7766262Z 
2022-11-23T01:32:37.7766266Z 
2022-11-23T01:32:37.7766358Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7766414Z import torch
2022-11-23T01:32:37.7766481Z import random
2022-11-23T01:32:37.7766594Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7766714Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7766719Z 
2022-11-23T01:32:37.7766795Z aten = torch.ops.aten
2022-11-23T01:32:37.7766926Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7767017Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7767022Z 
2022-11-23T01:32:37.7767026Z 
2022-11-23T01:32:37.7767157Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7767347Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7767495Z extern "C" void kernel(const bool* __restrict__ in_ptr0,
2022-11-23T01:32:37.7767599Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:37.7767698Z                        long* __restrict__ out_ptr0)
2022-11-23T01:32:37.7767758Z {
2022-11-23T01:32:37.7767856Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7767917Z     {
2022-11-23T01:32:37.7767980Z         #pragma omp for 
2022-11-23T01:32:37.7768090Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:37.7768156Z         {
2022-11-23T01:32:37.7768235Z             #pragma GCC ivdep
2022-11-23T01:32:37.7768319Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T01:32:37.7768383Z             {
2022-11-23T01:32:37.7768434Z                 {
2022-11-23T01:32:37.7768499Z                     {
2022-11-23T01:32:37.7768594Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:37.7768696Z                         auto tmp3 = in_ptr1[i1 + (16*i0)];
2022-11-23T01:32:37.7768802Z                         auto tmp1 = static_cast<float>(3.5);
2022-11-23T01:32:37.7768910Z                         auto tmp2 = static_cast<long>(tmp1);
2022-11-23T01:32:37.7769010Z                         auto tmp4 = tmp0 ? tmp2 : tmp3;
2022-11-23T01:32:37.7769104Z                         out_ptr0[i1 + (16*i0)] = tmp4;
2022-11-23T01:32:37.7769157Z                     }
2022-11-23T01:32:37.7769219Z                 }
2022-11-23T01:32:37.7769281Z             }
2022-11-23T01:32:37.7769342Z         }
2022-11-23T01:32:37.7769405Z     }
2022-11-23T01:32:37.7769464Z }
2022-11-23T01:32:37.7769528Z ''')
2022-11-23T01:32:37.7769533Z 
2022-11-23T01:32:37.7769548Z 
2022-11-23T01:32:37.7769624Z async_compile.wait(globals())
2022-11-23T01:32:37.7769695Z del async_compile
2022-11-23T01:32:37.7769699Z 
2022-11-23T01:32:37.7769768Z def call(args):
2022-11-23T01:32:37.7769842Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.7769912Z     args.clear()
2022-11-23T01:32:37.7770106Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.7770270Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.7770325Z     del arg0_1
2022-11-23T01:32:37.7770390Z     del arg1_1
2022-11-23T01:32:37.7770461Z     return (buf0, )
2022-11-23T01:32:37.7770466Z 
2022-11-23T01:32:37.7770470Z 
2022-11-23T01:32:37.7770544Z if __name__ == "__main__":
2022-11-23T01:32:37.7770656Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7770779Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7770968Z     arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.7771149Z     arg1_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.7771261Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.7771265Z 
2022-11-23T01:32:37.7771330Z ok (5.304s)
2022-11-23T01:32:37.7771633Z   test_max_min_cpu (__main__.CpuTests) ... [2022-11-23 01:24:25,364] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7771907Z [2022-11-23 01:24:25,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7772124Z [2022-11-23 01:24:25,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7772374Z [2022-11-23 01:24:25,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.7772662Z [2022-11-23 01:24:25,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.7772983Z [2022-11-23 01:24:25,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7773304Z [2022-11-23 01:24:25,365] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6468930, file "inductor/test_torchinductor.py", line 682> 
2022-11-23T01:32:37.7773415Z  683           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.7773509Z               2 LOAD_METHOD              1 (maximum)
2022-11-23T01:32:37.7773598Z               4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.7773686Z               6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.7773773Z               8 CALL_METHOD              2
2022-11-23T01:32:37.7773865Z              10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.7773998Z              12 LOAD_METHOD              2 (minimum)
2022-11-23T01:32:37.7774073Z              14 LOAD_FAST                0 (a)
2022-11-23T01:32:37.7774157Z              16 LOAD_FAST                1 (b)
2022-11-23T01:32:37.7774243Z              18 CALL_METHOD              2
2022-11-23T01:32:37.7774330Z              20 BUILD_TUPLE              2
2022-11-23T01:32:37.7774406Z              22 RETURN_VALUE
2022-11-23T01:32:37.7774468Z  
2022-11-23T01:32:37.7774473Z 
2022-11-23T01:32:37.7774741Z [2022-11-23 01:24:25,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:683
2022-11-23T01:32:37.7774963Z [2022-11-23 01:24:25,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.7775317Z [2022-11-23 01:24:25,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR maximum [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.7775642Z [2022-11-23 01:24:25,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method maximum of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.7775991Z [2022-11-23 01:24:25,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method maximum of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.7776373Z [2022-11-23 01:24:25,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method maximum of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7776620Z [2022-11-23 01:24:25,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.7777014Z [2022-11-23 01:24:25,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR minimum [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.7777363Z [2022-11-23 01:24:25,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method minimum of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.7777737Z [2022-11-23 01:24:25,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method minimum of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.7778150Z [2022-11-23 01:24:25,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method minimum of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7778420Z [2022-11-23 01:24:25,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7778665Z [2022-11-23 01:24:25,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.7778990Z [2022-11-23 01:24:25,375] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6468930, file "inductor/test_torchinductor.py", line 682>
2022-11-23T01:32:37.7779219Z [2022-11-23 01:24:25,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.7779451Z [2022-11-23 01:24:25,375] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7779703Z [2022-11-23 01:24:25,378] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7779949Z [2022-11-23 01:24:25,385] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7780170Z [2022-11-23 01:24:25,386] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7780303Z  __compiled_fn_306 <eval_with_key>.1913 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7780391Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7780479Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.7780741Z call_function, maximum, <built-in method maximum of type object at 0x7f71f2abebc0>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.7780986Z call_function, minimum, <built-in method minimum of type object at 0x7f71f2abebc0>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.7781099Z output, output, output, ((maximum, minimum),), {}
2022-11-23T01:32:37.7781104Z 
2022-11-23T01:32:37.7781378Z [2022-11-23 01:24:25,386] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7781472Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7781565Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7781655Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7781745Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7781807Z               8 RETURN_VALUE
2022-11-23T01:32:37.7781824Z 
2022-11-23T01:32:37.7781872Z  
2022-11-23T01:32:37.7782145Z [2022-11-23 01:24:25,387] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7782255Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_306)
2022-11-23T01:32:37.7782343Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7782432Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7782508Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7782594Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7782667Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.7782740Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.7782830Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.7782935Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.7783035Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7783123Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7783197Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.7783285Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7783375Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.7783449Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.7783538Z              30 BUILD_TUPLE              2
2022-11-23T01:32:37.7783615Z              32 RETURN_VALUE
2022-11-23T01:32:37.7783620Z 
2022-11-23T01:32:37.7783681Z  
2022-11-23T01:32:37.7783863Z [2022-11-23 01:24:25,389] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7783920Z  - 
2022-11-23T01:32:37.7784039Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7784103Z             {
2022-11-23T01:32:37.7784246Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7784538Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.7784666Z                 'obj_weakref': None
2022-11-23T01:32:37.7784892Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7784957Z             }
2022-11-23T01:32:37.7785008Z             
2022-11-23T01:32:37.7785078Z  - 
2022-11-23T01:32:37.7785204Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7785268Z             {
2022-11-23T01:32:37.7785411Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7785518Z                 'code': None,
2022-11-23T01:32:37.7785714Z                 'obj_weakref': <weakref at 0x7f70f161f4d0; to 'Tensor' at 0x7f7104e60170>
2022-11-23T01:32:37.7785962Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7786062Z             }
2022-11-23T01:32:37.7786126Z             
2022-11-23T01:32:37.7786195Z  - 
2022-11-23T01:32:37.7786318Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.7786384Z             {
2022-11-23T01:32:37.7786514Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7786624Z                 'code': None,
2022-11-23T01:32:37.7786833Z                 'obj_weakref': <weakref at 0x7f70f1638770; to 'Tensor' at 0x7f70f11f6530>
2022-11-23T01:32:37.7787108Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7787174Z             }
2022-11-23T01:32:37.7787239Z             
2022-11-23T01:32:37.7787308Z  - 
2022-11-23T01:32:37.7787426Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.7787490Z             {
2022-11-23T01:32:37.7787624Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7787795Z                 'code': ['___check_obj_id(model, 140123418489200)'],
2022-11-23T01:32:37.7787917Z                 'obj_weakref': None
2022-11-23T01:32:37.7788148Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.7788213Z             }
2022-11-23T01:32:37.7788263Z             
2022-11-23T01:32:37.7788333Z  - 
2022-11-23T01:32:37.7788458Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7788521Z             {
2022-11-23T01:32:37.7788671Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7788892Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7789011Z                 'obj_weakref': None
2022-11-23T01:32:37.7789228Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7789278Z             }
2022-11-23T01:32:37.7789340Z             
2022-11-23T01:32:37.7789410Z  - 
2022-11-23T01:32:37.7789540Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.7789603Z             {
2022-11-23T01:32:37.7789723Z                 'guard_types': None,
2022-11-23T01:32:37.7789816Z                 'code': None,
2022-11-23T01:32:37.7789931Z                 'obj_weakref': None
2022-11-23T01:32:37.7790052Z                 'guarded_class': None
2022-11-23T01:32:37.7790114Z             }
2022-11-23T01:32:37.7790177Z             
2022-11-23T01:32:37.7790433Z [2022-11-23 01:24:25,401] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 299
2022-11-23T01:32:37.7790806Z [2022-11-23 01:24:27,979] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/55/c55ozfadllnebqe7ywvwabm4iolbccuwf2couybaimv7uwzgsu36.py
2022-11-23T01:32:37.7791070Z [2022-11-23 01:24:27,980] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 299
2022-11-23T01:32:37.7791076Z 
2022-11-23T01:32:37.7791157Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7791226Z import torch
2022-11-23T01:32:37.7791297Z import random
2022-11-23T01:32:37.7791413Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7791534Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7791539Z 
2022-11-23T01:32:37.7791615Z aten = torch.ops.aten
2022-11-23T01:32:37.7791750Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7791829Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7791845Z 
2022-11-23T01:32:37.7791849Z 
2022-11-23T01:32:37.7791969Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7792173Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7792290Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.7792393Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.7792489Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.7792586Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.7792646Z {
2022-11-23T01:32:37.7792764Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7792826Z     {
2022-11-23T01:32:37.7792903Z         #pragma omp for 
2022-11-23T01:32:37.7792984Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.7793047Z         {
2022-11-23T01:32:37.7793110Z             {
2022-11-23T01:32:37.7793173Z                 {
2022-11-23T01:32:37.7793252Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.7793341Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:37.7793475Z                     auto tmp2 = std::max(tmp0, tmp1);
2022-11-23T01:32:37.7793576Z                     auto tmp3 = std::min(tmp0, tmp1);
2022-11-23T01:32:37.7793659Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.7793742Z                     out_ptr1[i0] = tmp3;
2022-11-23T01:32:37.7793806Z                 }
2022-11-23T01:32:37.7793856Z             }
2022-11-23T01:32:37.7793919Z         }
2022-11-23T01:32:37.7793982Z     }
2022-11-23T01:32:37.7794041Z }
2022-11-23T01:32:37.7794118Z ''')
2022-11-23T01:32:37.7794125Z 
2022-11-23T01:32:37.7794129Z 
2022-11-23T01:32:37.7794217Z async_compile.wait(globals())
2022-11-23T01:32:37.7794287Z del async_compile
2022-11-23T01:32:37.7794292Z 
2022-11-23T01:32:37.7794349Z def call(args):
2022-11-23T01:32:37.7794423Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.7794492Z     args.clear()
2022-11-23T01:32:37.7794685Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7794875Z     buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7795063Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7795129Z     del arg0_1
2022-11-23T01:32:37.7795182Z     del arg1_1
2022-11-23T01:32:37.7795258Z     return (buf0, buf1, )
2022-11-23T01:32:37.7795262Z 
2022-11-23T01:32:37.7795266Z 
2022-11-23T01:32:37.7795340Z if __name__ == "__main__":
2022-11-23T01:32:37.7795455Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7795577Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7795767Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7795953Z     arg1_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7796066Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.7796071Z 
2022-11-23T01:32:37.7796136Z ok (2.631s)
2022-11-23T01:32:37.7796435Z   test_max_pool2d1_cpu (__main__.CpuTests) ... [2022-11-23 01:24:27,993] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7796703Z [2022-11-23 01:24:27,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7796919Z [2022-11-23 01:24:27,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7797296Z [2022-11-23 01:24:27,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.7797587Z [2022-11-23 01:24:27,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.7797914Z [2022-11-23 01:24:27,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7798247Z [2022-11-23 01:24:27,994] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f640a420, file "inductor/test_torchinductor.py", line 1952> 
2022-11-23T01:32:37.7798342Z  1953           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.7798458Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:32:37.7798537Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.7798626Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:37.7798715Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:37.7798803Z               10 BUILD_LIST               2
2022-11-23T01:32:37.7798943Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:37.7799031Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:37.7799116Z               16 BUILD_LIST               2
2022-11-23T01:32:37.7799190Z               18 CALL_METHOD              3
2022-11-23T01:32:37.7799268Z               20 RETURN_VALUE
2022-11-23T01:32:37.7799330Z  
2022-11-23T01:32:37.7799337Z 
2022-11-23T01:32:37.7799639Z [2022-11-23 01:24:27,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1953
2022-11-23T01:32:37.7799859Z [2022-11-23 01:24:27,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.7800191Z [2022-11-23 01:24:28,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.7800467Z [2022-11-23 01:24:28,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:37.7800776Z [2022-11-23 01:24:28,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:37.7801119Z [2022-11-23 01:24:28,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7801488Z [2022-11-23 01:24:28,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.7801821Z [2022-11-23 01:24:28,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.7802187Z [2022-11-23 01:24:28,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7802595Z [2022-11-23 01:24:28,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.7802950Z [2022-11-23 01:24:28,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.7803196Z [2022-11-23 01:24:28,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.7803526Z [2022-11-23 01:24:28,014] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f640a420, file "inductor/test_torchinductor.py", line 1952>
2022-11-23T01:32:37.7803772Z [2022-11-23 01:24:28,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.7804005Z [2022-11-23 01:24:28,014] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7804258Z [2022-11-23 01:24:28,017] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7804505Z [2022-11-23 01:24:28,023] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7804679Z [2022-11-23 01:24:28,024] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7804815Z  __compiled_fn_307 <eval_with_key>.1919 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7804908Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7805063Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2]), {}
2022-11-23T01:32:37.7805282Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:37.7805500Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:32:37.7805612Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:37.7805648Z 
2022-11-23T01:32:37.7805924Z [2022-11-23 01:24:28,024] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7806019Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7806096Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7806187Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7806277Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7806380Z               8 RETURN_VALUE
2022-11-23T01:32:37.7806386Z 
2022-11-23T01:32:37.7806446Z  
2022-11-23T01:32:37.7806719Z [2022-11-23 01:24:28,024] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7806830Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_307)
2022-11-23T01:32:37.7806909Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7806996Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7807073Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7807160Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7807263Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.7807363Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7807450Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7807524Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.7807613Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7807699Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.7807774Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.7807860Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.7807934Z              26 RETURN_VALUE
2022-11-23T01:32:37.7807939Z 
2022-11-23T01:32:37.7807999Z  
2022-11-23T01:32:37.7808179Z [2022-11-23 01:24:28,026] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7808235Z  - 
2022-11-23T01:32:37.7808353Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7808418Z             {
2022-11-23T01:32:37.7808558Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7808742Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7808861Z                 'obj_weakref': None
2022-11-23T01:32:37.7809083Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7809134Z             }
2022-11-23T01:32:37.7809198Z             
2022-11-23T01:32:37.7809267Z  - 
2022-11-23T01:32:37.7809388Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7809450Z             {
2022-11-23T01:32:37.7809591Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7809695Z                 'code': None,
2022-11-23T01:32:37.7809894Z                 'obj_weakref': <weakref at 0x7f7104e3ba10; to 'Tensor' at 0x7f71c0f60470>
2022-11-23T01:32:37.7810140Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7810208Z             }
2022-11-23T01:32:37.7810271Z             
2022-11-23T01:32:37.7810338Z  - 
2022-11-23T01:32:37.7810466Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.7810529Z             {
2022-11-23T01:32:37.7810650Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7810818Z                 'code': ['___check_obj_id(model, 140123412483104)'],
2022-11-23T01:32:37.7810938Z                 'obj_weakref': None
2022-11-23T01:32:37.7811164Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.7811226Z             }
2022-11-23T01:32:37.7811290Z             
2022-11-23T01:32:37.7811357Z  - 
2022-11-23T01:32:37.7811465Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7811527Z             {
2022-11-23T01:32:37.7811661Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7811874Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7812058Z                 'obj_weakref': None
2022-11-23T01:32:37.7812276Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7812339Z             }
2022-11-23T01:32:37.7812389Z             
2022-11-23T01:32:37.7812456Z  - 
2022-11-23T01:32:37.7812586Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.7812649Z             {
2022-11-23T01:32:37.7812795Z                 'guard_types': None,
2022-11-23T01:32:37.7812901Z                 'code': None,
2022-11-23T01:32:37.7813018Z                 'obj_weakref': None
2022-11-23T01:32:37.7813126Z                 'guarded_class': None
2022-11-23T01:32:37.7813188Z             }
2022-11-23T01:32:37.7813252Z             
2022-11-23T01:32:37.7813511Z [2022-11-23 01:24:28,037] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 300
2022-11-23T01:32:37.7813884Z [2022-11-23 01:24:30,784] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ni/cnitbpbizq5acyjo4upknpnb2wlikdnp5lkzuf4y3rlxnfbchsi2.py
2022-11-23T01:32:37.7814150Z [2022-11-23 01:24:30,785] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 300
2022-11-23T01:32:37.7814156Z 
2022-11-23T01:32:37.7814250Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7814308Z import torch
2022-11-23T01:32:37.7814377Z import random
2022-11-23T01:32:37.7814492Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7814614Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7814619Z 
2022-11-23T01:32:37.7814695Z aten = torch.ops.aten
2022-11-23T01:32:37.7814827Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7814919Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7814924Z 
2022-11-23T01:32:37.7814928Z 
2022-11-23T01:32:37.7815060Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7815251Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7815372Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.7815470Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.7815564Z                        long* __restrict__ out_ptr1)
2022-11-23T01:32:37.7815625Z {
2022-11-23T01:32:37.7815722Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7815783Z     {
2022-11-23T01:32:37.7815849Z         #pragma omp for 
2022-11-23T01:32:37.7815929Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.7815991Z         {
2022-11-23T01:32:37.7816070Z             #pragma GCC ivdep
2022-11-23T01:32:37.7816152Z             for(long i1=0; i1<7; i1+=1)
2022-11-23T01:32:37.7816214Z             {
2022-11-23T01:32:37.7816296Z                 #pragma GCC ivdep
2022-11-23T01:32:37.7816372Z                 for(long i2=0; i2<7; i2+=1)
2022-11-23T01:32:37.7816435Z                 {
2022-11-23T01:32:37.7816500Z                     {
2022-11-23T01:32:37.7816569Z                         {
2022-11-23T01:32:37.7816684Z                             auto tmp0 = in_ptr0[(2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:37.7816795Z                             auto tmp2 = in_ptr0[1 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:37.7816906Z                             auto tmp7 = in_ptr0[2 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:37.7817006Z                             auto tmp12 = in_ptr0[16 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:37.7817117Z                             auto tmp17 = in_ptr0[17 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:37.7817224Z                             auto tmp22 = in_ptr0[18 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:37.7817327Z                             auto tmp27 = in_ptr0[32 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:37.7817430Z                             auto tmp32 = in_ptr0[33 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:37.7817535Z                             auto tmp37 = in_ptr0[34 + (2*i2) + (32*i1) + (256*i0)];
2022-11-23T01:32:37.7817680Z                             auto tmp1 = static_cast<long>((2*i2) + (32*i1));
2022-11-23T01:32:37.7817797Z                             auto tmp3 = static_cast<long>(1 + (2*i2) + (32*i1));
2022-11-23T01:32:37.7817893Z                             auto tmp4 = tmp2 > tmp0;
2022-11-23T01:32:37.7817983Z                             auto tmp5 = tmp4 ? tmp3 : tmp1;
2022-11-23T01:32:37.7818133Z                             auto tmp6 = std::max(tmp2, tmp0);
2022-11-23T01:32:37.7818251Z                             auto tmp8 = static_cast<long>(2 + (2*i2) + (32*i1));
2022-11-23T01:32:37.7818344Z                             auto tmp9 = tmp7 > tmp6;
2022-11-23T01:32:37.7818447Z                             auto tmp10 = tmp9 ? tmp8 : tmp5;
2022-11-23T01:32:37.7818556Z                             auto tmp11 = std::max(tmp7, tmp6);
2022-11-23T01:32:37.7818679Z                             auto tmp13 = static_cast<long>(16 + (2*i2) + (32*i1));
2022-11-23T01:32:37.7818766Z                             auto tmp14 = tmp12 > tmp11;
2022-11-23T01:32:37.7818869Z                             auto tmp15 = tmp14 ? tmp13 : tmp10;
2022-11-23T01:32:37.7818979Z                             auto tmp16 = std::max(tmp12, tmp11);
2022-11-23T01:32:37.7819095Z                             auto tmp18 = static_cast<long>(17 + (2*i2) + (32*i1));
2022-11-23T01:32:37.7819190Z                             auto tmp19 = tmp17 > tmp16;
2022-11-23T01:32:37.7819297Z                             auto tmp20 = tmp19 ? tmp18 : tmp15;
2022-11-23T01:32:37.7819404Z                             auto tmp21 = std::max(tmp17, tmp16);
2022-11-23T01:32:37.7819520Z                             auto tmp23 = static_cast<long>(18 + (2*i2) + (32*i1));
2022-11-23T01:32:37.7819602Z                             auto tmp24 = tmp22 > tmp21;
2022-11-23T01:32:37.7819704Z                             auto tmp25 = tmp24 ? tmp23 : tmp20;
2022-11-23T01:32:37.7819810Z                             auto tmp26 = std::max(tmp22, tmp21);
2022-11-23T01:32:37.7819928Z                             auto tmp28 = static_cast<long>(32 + (2*i2) + (32*i1));
2022-11-23T01:32:37.7820024Z                             auto tmp29 = tmp27 > tmp26;
2022-11-23T01:32:37.7820127Z                             auto tmp30 = tmp29 ? tmp28 : tmp25;
2022-11-23T01:32:37.7820234Z                             auto tmp31 = std::max(tmp27, tmp26);
2022-11-23T01:32:37.7820351Z                             auto tmp33 = static_cast<long>(33 + (2*i2) + (32*i1));
2022-11-23T01:32:37.7820436Z                             auto tmp34 = tmp32 > tmp31;
2022-11-23T01:32:37.7820537Z                             auto tmp35 = tmp34 ? tmp33 : tmp30;
2022-11-23T01:32:37.7820643Z                             auto tmp36 = std::max(tmp32, tmp31);
2022-11-23T01:32:37.7820759Z                             auto tmp38 = static_cast<long>(34 + (2*i2) + (32*i1));
2022-11-23T01:32:37.7820855Z                             auto tmp39 = tmp37 > tmp36;
2022-11-23T01:32:37.7820959Z                             auto tmp40 = tmp39 ? tmp38 : tmp35;
2022-11-23T01:32:37.7821071Z                             auto tmp41 = std::max(tmp37, tmp36);
2022-11-23T01:32:37.7821178Z                             out_ptr0[i2 + (7*i1) + (49*i0)] = tmp41;
2022-11-23T01:32:37.7821266Z                             out_ptr1[i2 + (7*i1) + (49*i0)] = tmp40;
2022-11-23T01:32:37.7821337Z                         }
2022-11-23T01:32:37.7821405Z                     }
2022-11-23T01:32:37.7821472Z                 }
2022-11-23T01:32:37.7821539Z             }
2022-11-23T01:32:37.7821603Z         }
2022-11-23T01:32:37.7821664Z     }
2022-11-23T01:32:37.7821711Z }
2022-11-23T01:32:37.7821792Z ''')
2022-11-23T01:32:37.7821797Z 
2022-11-23T01:32:37.7821802Z 
2022-11-23T01:32:37.7821896Z async_compile.wait(globals())
2022-11-23T01:32:37.7821968Z del async_compile
2022-11-23T01:32:37.7821973Z 
2022-11-23T01:32:37.7822045Z def call(args):
2022-11-23T01:32:37.7822115Z     arg0_1, = args
2022-11-23T01:32:37.7822189Z     args.clear()
2022-11-23T01:32:37.7822391Z     buf0 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7822631Z     buf1 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.7822798Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7822869Z     del arg0_1
2022-11-23T01:32:37.7822948Z     return (buf0, buf1, )
2022-11-23T01:32:37.7822953Z 
2022-11-23T01:32:37.7822957Z 
2022-11-23T01:32:37.7823059Z if __name__ == "__main__":
2022-11-23T01:32:37.7823176Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7823299Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7823505Z     arg0_1 = rand_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7823616Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.7823621Z 
2022-11-23T01:32:37.7823688Z ok (2.804s)
2022-11-23T01:32:37.7824003Z   test_max_pool2d2_cpu (__main__.CpuTests) ... [2022-11-23 01:24:30,925] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7824275Z [2022-11-23 01:24:30,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7824580Z [2022-11-23 01:24:30,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7824840Z [2022-11-23 01:24:30,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.7825127Z [2022-11-23 01:24:30,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.7825452Z [2022-11-23 01:24:30,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7825770Z [2022-11-23 01:24:30,926] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f640a540, file "inductor/test_torchinductor.py", line 1961> 
2022-11-23T01:32:37.7825872Z  1962           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.7825991Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:32:37.7826081Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.7826173Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:37.7826262Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:37.7826353Z               10 BUILD_LIST               2
2022-11-23T01:32:37.7826443Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:37.7826518Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:37.7826604Z               16 BUILD_LIST               2
2022-11-23T01:32:37.7826692Z               18 CALL_METHOD              3
2022-11-23T01:32:37.7826769Z               20 RETURN_VALUE
2022-11-23T01:32:37.7826831Z  
2022-11-23T01:32:37.7826836Z 
2022-11-23T01:32:37.7827104Z [2022-11-23 01:24:30,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1962
2022-11-23T01:32:37.7827326Z [2022-11-23 01:24:30,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.7827661Z [2022-11-23 01:24:30,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.7827928Z [2022-11-23 01:24:30,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:37.7828237Z [2022-11-23 01:24:30,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:37.7828580Z [2022-11-23 01:24:30,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7828964Z [2022-11-23 01:24:30,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.7829325Z [2022-11-23 01:24:30,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.7829722Z [2022-11-23 01:24:30,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7830129Z [2022-11-23 01:24:30,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.7830486Z [2022-11-23 01:24:30,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.7830733Z [2022-11-23 01:24:30,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.7831061Z [2022-11-23 01:24:30,943] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f640a540, file "inductor/test_torchinductor.py", line 1961>
2022-11-23T01:32:37.7831305Z [2022-11-23 01:24:30,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.7831541Z [2022-11-23 01:24:30,943] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7831781Z [2022-11-23 01:24:30,963] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7832028Z [2022-11-23 01:24:30,968] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7832218Z [2022-11-23 01:24:30,969] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7832352Z  __compiled_fn_308 <eval_with_key>.1925 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7832443Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7832600Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2]), {}
2022-11-23T01:32:37.7832816Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:37.7833033Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:32:37.7833136Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:37.7833141Z 
2022-11-23T01:32:37.7833417Z [2022-11-23 01:24:30,969] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7833509Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7833600Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7833693Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7833783Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7833862Z               8 RETURN_VALUE
2022-11-23T01:32:37.7833867Z 
2022-11-23T01:32:37.7833928Z  
2022-11-23T01:32:37.7834186Z [2022-11-23 01:24:30,969] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7834296Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_308)
2022-11-23T01:32:37.7834384Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7834474Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7834549Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7834636Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7834737Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.7834826Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7834913Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7834989Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.7835088Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7835205Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.7835279Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.7835364Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.7835426Z              26 RETURN_VALUE
2022-11-23T01:32:37.7835443Z 
2022-11-23T01:32:37.7835491Z  
2022-11-23T01:32:37.7835672Z [2022-11-23 01:24:30,970] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7835740Z  - 
2022-11-23T01:32:37.7835885Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7835949Z             {
2022-11-23T01:32:37.7836089Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7836273Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7836379Z                 'obj_weakref': None
2022-11-23T01:32:37.7836602Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7836664Z             }
2022-11-23T01:32:37.7836730Z             
2022-11-23T01:32:37.7836797Z  - 
2022-11-23T01:32:37.7836919Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7836980Z             {
2022-11-23T01:32:37.7837230Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7837339Z                 'code': None,
2022-11-23T01:32:37.7837545Z                 'obj_weakref': <weakref at 0x7f71071275f0; to 'Tensor' at 0x7f70f1638d70>
2022-11-23T01:32:37.7837794Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7837858Z             }
2022-11-23T01:32:37.7837923Z             
2022-11-23T01:32:37.7837993Z  - 
2022-11-23T01:32:37.7838111Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.7838173Z             {
2022-11-23T01:32:37.7838307Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7838476Z                 'code': ['___check_obj_id(model, 140123421267008)'],
2022-11-23T01:32:37.7838595Z                 'obj_weakref': None
2022-11-23T01:32:37.7838822Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.7838887Z             }
2022-11-23T01:32:37.7838937Z             
2022-11-23T01:32:37.7839006Z  - 
2022-11-23T01:32:37.7839128Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7839195Z             {
2022-11-23T01:32:37.7839330Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7839547Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7839661Z                 'obj_weakref': None
2022-11-23T01:32:37.7839864Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7839926Z             }
2022-11-23T01:32:37.7839988Z             
2022-11-23T01:32:37.7840054Z  - 
2022-11-23T01:32:37.7840182Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.7840244Z             {
2022-11-23T01:32:37.7840352Z                 'guard_types': None,
2022-11-23T01:32:37.7840458Z                 'code': None,
2022-11-23T01:32:37.7840573Z                 'obj_weakref': None
2022-11-23T01:32:37.7840691Z                 'guarded_class': None
2022-11-23T01:32:37.7840755Z             }
2022-11-23T01:32:37.7840817Z             
2022-11-23T01:32:37.7841072Z [2022-11-23 01:24:30,979] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 301
2022-11-23T01:32:37.7841444Z [2022-11-23 01:24:33,686] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wi/cwiwljtzzvqhkfqgvxcb24ns5jwzgp5e4e3o6zwogip43lw36qhi.py
2022-11-23T01:32:37.7841694Z [2022-11-23 01:24:33,687] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 301
2022-11-23T01:32:37.7841700Z 
2022-11-23T01:32:37.7841791Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7841858Z import torch
2022-11-23T01:32:37.7841926Z import random
2022-11-23T01:32:37.7842040Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7842211Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7842217Z 
2022-11-23T01:32:37.7842296Z aten = torch.ops.aten
2022-11-23T01:32:37.7842430Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7842509Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7842513Z 
2022-11-23T01:32:37.7842518Z 
2022-11-23T01:32:37.7842652Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7842893Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7843013Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.7843114Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.7843211Z                        long* __restrict__ out_ptr1)
2022-11-23T01:32:37.7843275Z {
2022-11-23T01:32:37.7843359Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7843422Z     {
2022-11-23T01:32:37.7843501Z         #pragma omp for 
2022-11-23T01:32:37.7843586Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:37.7843651Z         {
2022-11-23T01:32:37.7843731Z             #pragma GCC ivdep
2022-11-23T01:32:37.7843815Z             for(long i1=0; i1<27; i1+=1)
2022-11-23T01:32:37.7843865Z             {
2022-11-23T01:32:37.7843948Z                 #pragma GCC ivdep
2022-11-23T01:32:37.7844037Z                 for(long i2=0; i2<27; i2+=1)
2022-11-23T01:32:37.7844101Z                 {
2022-11-23T01:32:37.7844169Z                     {
2022-11-23T01:32:37.7844237Z                         {
2022-11-23T01:32:37.7844350Z                             auto tmp0 = in_ptr0[(2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:37.7844452Z                             auto tmp2 = in_ptr0[1 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:37.7844565Z                             auto tmp7 = in_ptr0[2 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:37.7844679Z                             auto tmp12 = in_ptr0[55 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:37.7844789Z                             auto tmp17 = in_ptr0[56 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:37.7844897Z                             auto tmp22 = in_ptr0[57 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:37.7845010Z                             auto tmp27 = in_ptr0[110 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:37.7845125Z                             auto tmp32 = in_ptr0[111 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:37.7845239Z                             auto tmp37 = in_ptr0[112 + (2*i2) + (110*i1) + (3025*i0)];
2022-11-23T01:32:37.7845341Z                             auto tmp1 = static_cast<long>((2*i2) + (110*i1));
2022-11-23T01:32:37.7845456Z                             auto tmp3 = static_cast<long>(1 + (2*i2) + (110*i1));
2022-11-23T01:32:37.7845551Z                             auto tmp4 = tmp2 > tmp0;
2022-11-23T01:32:37.7845652Z                             auto tmp5 = tmp4 ? tmp3 : tmp1;
2022-11-23T01:32:37.7845764Z                             auto tmp6 = std::max(tmp2, tmp0);
2022-11-23T01:32:37.7845882Z                             auto tmp8 = static_cast<long>(2 + (2*i2) + (110*i1));
2022-11-23T01:32:37.7845977Z                             auto tmp9 = tmp7 > tmp6;
2022-11-23T01:32:37.7846080Z                             auto tmp10 = tmp9 ? tmp8 : tmp5;
2022-11-23T01:32:37.7846177Z                             auto tmp11 = std::max(tmp7, tmp6);
2022-11-23T01:32:37.7846296Z                             auto tmp13 = static_cast<long>(55 + (2*i2) + (110*i1));
2022-11-23T01:32:37.7846393Z                             auto tmp14 = tmp12 > tmp11;
2022-11-23T01:32:37.7846495Z                             auto tmp15 = tmp14 ? tmp13 : tmp10;
2022-11-23T01:32:37.7846605Z                             auto tmp16 = std::max(tmp12, tmp11);
2022-11-23T01:32:37.7846722Z                             auto tmp18 = static_cast<long>(56 + (2*i2) + (110*i1));
2022-11-23T01:32:37.7846817Z                             auto tmp19 = tmp17 > tmp16;
2022-11-23T01:32:37.7846951Z                             auto tmp20 = tmp19 ? tmp18 : tmp15;
2022-11-23T01:32:37.7847046Z                             auto tmp21 = std::max(tmp17, tmp16);
2022-11-23T01:32:37.7847163Z                             auto tmp23 = static_cast<long>(57 + (2*i2) + (110*i1));
2022-11-23T01:32:37.7847257Z                             auto tmp24 = tmp22 > tmp21;
2022-11-23T01:32:37.7847360Z                             auto tmp25 = tmp24 ? tmp23 : tmp20;
2022-11-23T01:32:37.7847502Z                             auto tmp26 = std::max(tmp22, tmp21);
2022-11-23T01:32:37.7847620Z                             auto tmp28 = static_cast<long>(110 + (2*i2) + (110*i1));
2022-11-23T01:32:37.7847716Z                             auto tmp29 = tmp27 > tmp26;
2022-11-23T01:32:37.7847818Z                             auto tmp30 = tmp29 ? tmp28 : tmp25;
2022-11-23T01:32:37.7847912Z                             auto tmp31 = std::max(tmp27, tmp26);
2022-11-23T01:32:37.7848031Z                             auto tmp33 = static_cast<long>(111 + (2*i2) + (110*i1));
2022-11-23T01:32:37.7848128Z                             auto tmp34 = tmp32 > tmp31;
2022-11-23T01:32:37.7848230Z                             auto tmp35 = tmp34 ? tmp33 : tmp30;
2022-11-23T01:32:37.7848337Z                             auto tmp36 = std::max(tmp32, tmp31);
2022-11-23T01:32:37.7848456Z                             auto tmp38 = static_cast<long>(112 + (2*i2) + (110*i1));
2022-11-23T01:32:37.7848554Z                             auto tmp39 = tmp37 > tmp36;
2022-11-23T01:32:37.7848656Z                             auto tmp40 = tmp39 ? tmp38 : tmp35;
2022-11-23T01:32:37.7848749Z                             auto tmp41 = std::max(tmp37, tmp36);
2022-11-23T01:32:37.7848854Z                             out_ptr0[i2 + (27*i1) + (729*i0)] = tmp41;
2022-11-23T01:32:37.7848956Z                             out_ptr1[i2 + (27*i1) + (729*i0)] = tmp40;
2022-11-23T01:32:37.7849028Z                         }
2022-11-23T01:32:37.7849096Z                     }
2022-11-23T01:32:37.7849164Z                 }
2022-11-23T01:32:37.7849232Z             }
2022-11-23T01:32:37.7849281Z         }
2022-11-23T01:32:37.7849344Z     }
2022-11-23T01:32:37.7849404Z }
2022-11-23T01:32:37.7849481Z ''')
2022-11-23T01:32:37.7849486Z 
2022-11-23T01:32:37.7849490Z 
2022-11-23T01:32:37.7849584Z async_compile.wait(globals())
2022-11-23T01:32:37.7849655Z del async_compile
2022-11-23T01:32:37.7849660Z 
2022-11-23T01:32:37.7849730Z def call(args):
2022-11-23T01:32:37.7849785Z     arg0_1, = args
2022-11-23T01:32:37.7849857Z     args.clear()
2022-11-23T01:32:37.7850079Z     buf0 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7850294Z     buf1 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.7850456Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7850524Z     del arg0_1
2022-11-23T01:32:37.7850598Z     return (buf0, buf1, )
2022-11-23T01:32:37.7850605Z 
2022-11-23T01:32:37.7850610Z 
2022-11-23T01:32:37.7850685Z if __name__ == "__main__":
2022-11-23T01:32:37.7850786Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7850907Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7851130Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7851236Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.7851244Z 
2022-11-23T01:32:37.7851309Z ok (3.160s)
2022-11-23T01:32:37.7851619Z   test_max_pool2d3_cpu (__main__.CpuTests) ... [2022-11-23 01:24:33,956] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7851886Z [2022-11-23 01:24:33,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7852102Z [2022-11-23 01:24:33,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7852372Z [2022-11-23 01:24:33,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.7852657Z [2022-11-23 01:24:33,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.7852978Z [2022-11-23 01:24:33,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7853340Z [2022-11-23 01:24:33,957] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f640a660, file "inductor/test_torchinductor.py", line 1970> 
2022-11-23T01:32:37.7853435Z  1972           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.7853551Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:32:37.7853640Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.7853728Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:37.7853815Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:37.7853893Z               10 BUILD_LIST               2
2022-11-23T01:32:37.7853979Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:37.7854066Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:37.7854150Z               16 BUILD_LIST               2
2022-11-23T01:32:37.7854235Z               18 LOAD_CONST               3 (1)
2022-11-23T01:32:37.7854318Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:37.7854405Z               22 BUILD_LIST               2
2022-11-23T01:32:37.7854478Z               24 CALL_METHOD              4
2022-11-23T01:32:37.7854554Z               26 RETURN_VALUE
2022-11-23T01:32:37.7854620Z  
2022-11-23T01:32:37.7854627Z 
2022-11-23T01:32:37.7855027Z [2022-11-23 01:24:33,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1972
2022-11-23T01:32:37.7855331Z [2022-11-23 01:24:33,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.7855857Z [2022-11-23 01:24:33,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.7856274Z [2022-11-23 01:24:33,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:37.7856828Z [2022-11-23 01:24:33,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:37.7857468Z [2022-11-23 01:24:33,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7857861Z [2022-11-23 01:24:33,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.7858179Z [2022-11-23 01:24:33,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.7858545Z [2022-11-23 01:24:33,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7858955Z [2022-11-23 01:24:33,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.7859309Z [2022-11-23 01:24:33,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.7859698Z [2022-11-23 01:24:33,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7860193Z [2022-11-23 01:24:33,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.7860576Z [2022-11-23 01:24:33,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.7860868Z [2022-11-23 01:24:33,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.7861202Z [2022-11-23 01:24:33,972] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f640a660, file "inductor/test_torchinductor.py", line 1970>
2022-11-23T01:32:37.7861447Z [2022-11-23 01:24:33,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.7861681Z [2022-11-23 01:24:33,972] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7861935Z [2022-11-23 01:24:33,974] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7862169Z [2022-11-23 01:24:33,979] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7862355Z [2022-11-23 01:24:33,979] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7862491Z  __compiled_fn_309 <eval_with_key>.1931 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7862584Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7862744Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2], [1, 1]), {}
2022-11-23T01:32:37.7862961Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:37.7863181Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:32:37.7863296Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:37.7863304Z 
2022-11-23T01:32:37.7863566Z [2022-11-23 01:24:33,980] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7863658Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7863748Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7863840Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7863933Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7864006Z               8 RETURN_VALUE
2022-11-23T01:32:37.7864012Z 
2022-11-23T01:32:37.7864074Z  
2022-11-23T01:32:37.7864349Z [2022-11-23 01:24:33,980] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7864522Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_309)
2022-11-23T01:32:37.7864613Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7864702Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7864786Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7864875Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7864980Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.7865083Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7865161Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7865238Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.7865341Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7865430Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.7865506Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.7865595Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.7865670Z              26 RETURN_VALUE
2022-11-23T01:32:37.7865676Z 
2022-11-23T01:32:37.7865737Z  
2022-11-23T01:32:37.7865911Z [2022-11-23 01:24:33,981] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7866033Z  - 
2022-11-23T01:32:37.7866212Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7866301Z             {
2022-11-23T01:32:37.7866447Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7866664Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7866786Z                 'obj_weakref': None
2022-11-23T01:32:37.7866998Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7867099Z             }
2022-11-23T01:32:37.7867165Z             
2022-11-23T01:32:37.7867234Z  - 
2022-11-23T01:32:37.7867360Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7867426Z             {
2022-11-23T01:32:37.7867553Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7867660Z                 'code': None,
2022-11-23T01:32:37.7867869Z                 'obj_weakref': <weakref at 0x7f70f161d2f0; to 'Tensor' at 0x7f70f161d3b0>
2022-11-23T01:32:37.7868119Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7868188Z             }
2022-11-23T01:32:37.7868252Z             
2022-11-23T01:32:37.7868323Z  - 
2022-11-23T01:32:37.7868452Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.7868503Z             {
2022-11-23T01:32:37.7868637Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7868807Z                 'code': ['___check_obj_id(model, 140123406104048)'],
2022-11-23T01:32:37.7868929Z                 'obj_weakref': None
2022-11-23T01:32:37.7869159Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.7869225Z             }
2022-11-23T01:32:37.7869289Z             
2022-11-23T01:32:37.7869346Z  - 
2022-11-23T01:32:37.7869467Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7869530Z             {
2022-11-23T01:32:37.7869666Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7869887Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7870005Z                 'obj_weakref': None
2022-11-23T01:32:37.7870244Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7870295Z             }
2022-11-23T01:32:37.7870357Z             
2022-11-23T01:32:37.7870425Z  - 
2022-11-23T01:32:37.7870557Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.7870620Z             {
2022-11-23T01:32:37.7870739Z                 'guard_types': None,
2022-11-23T01:32:37.7870832Z                 'code': None,
2022-11-23T01:32:37.7870949Z                 'obj_weakref': None
2022-11-23T01:32:37.7871067Z                 'guarded_class': None
2022-11-23T01:32:37.7876610Z             }
2022-11-23T01:32:37.7876700Z             
2022-11-23T01:32:37.7877002Z [2022-11-23 01:24:33,990] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 302
2022-11-23T01:32:37.7877013Z 
2022-11-23T01:32:37.7877360Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7877436Z import torch
2022-11-23T01:32:37.7877493Z import random
2022-11-23T01:32:37.7877610Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7877734Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7877740Z 
2022-11-23T01:32:37.7877819Z aten = torch.ops.aten
2022-11-23T01:32:37.7877953Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7878049Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7878054Z 
2022-11-23T01:32:37.7878058Z 
2022-11-23T01:32:37.7878200Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7878404Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7878513Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.7878616Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.7878713Z                        long* __restrict__ out_ptr1)
2022-11-23T01:32:37.7878871Z {
2022-11-23T01:32:37.7878972Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7879034Z     {
2022-11-23T01:32:37.7879113Z         #pragma omp for 
2022-11-23T01:32:37.7879182Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.7879246Z         {
2022-11-23T01:32:37.7879326Z             #pragma GCC ivdep
2022-11-23T01:32:37.7879409Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:37.7879473Z             {
2022-11-23T01:32:37.7879581Z                 {
2022-11-23T01:32:37.7879637Z                     {
2022-11-23T01:32:37.7879812Z                         auto tmp0 = static_cast<long>((-1) + (2*i0));
2022-11-23T01:32:37.7879915Z                         auto tmp1 = static_cast<long>(0);
2022-11-23T01:32:37.7880009Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:32:37.7880111Z                         auto tmp3 = static_cast<long>(8);
2022-11-23T01:32:37.7880203Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T01:32:37.7880297Z                         auto tmp5 = tmp2 & tmp4;
2022-11-23T01:32:37.7880468Z                         auto tmp6 = static_cast<long>((-1) + (2*i1));
2022-11-23T01:32:37.7880548Z                         auto tmp7 = tmp6 >= tmp1;
2022-11-23T01:32:37.7880640Z                         auto tmp8 = tmp6 < tmp3;
2022-11-23T01:32:37.7880730Z                         auto tmp9 = tmp7 & tmp8;
2022-11-23T01:32:37.7880823Z                         auto tmp10 = tmp5 & tmp9;
2022-11-23T01:32:37.7881079Z                         float tmp11 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.7881156Z                         if(tmp10)
2022-11-23T01:32:37.7881223Z                         {
2022-11-23T01:32:37.7881383Z                             auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)];
2022-11-23T01:32:37.7881464Z                             tmp11 = tmp12;
2022-11-23T01:32:37.7881532Z                         }
2022-11-23T01:32:37.7881715Z                         auto tmp13 = static_cast<long>((-9) + (2*i1) + (16*i0));
2022-11-23T01:32:37.7881824Z                         auto tmp14 = static_cast<long>(2*i1);
2022-11-23T01:32:37.7881917Z                         auto tmp15 = tmp14 >= tmp1;
2022-11-23T01:32:37.7882009Z                         auto tmp16 = tmp14 < tmp3;
2022-11-23T01:32:37.7882087Z                         auto tmp17 = tmp15 & tmp16;
2022-11-23T01:32:37.7882178Z                         auto tmp18 = tmp5 & tmp17;
2022-11-23T01:32:37.7882397Z                         float tmp19 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.7882470Z                         if(tmp18)
2022-11-23T01:32:37.7882539Z                         {
2022-11-23T01:32:37.7882711Z                             auto tmp20 = in_ptr0[(-8) + (2*i1) + (16*i0)];
2022-11-23T01:32:37.7882793Z                             tmp19 = tmp20;
2022-11-23T01:32:37.7882860Z                         }
2022-11-23T01:32:37.7883030Z                         auto tmp21 = static_cast<long>((-8) + (2*i1) + (16*i0));
2022-11-23T01:32:37.7883124Z                         auto tmp22 = tmp19 > tmp11;
2022-11-23T01:32:37.7883225Z                         auto tmp23 = tmp22 ? tmp21 : tmp13;
2022-11-23T01:32:37.7883332Z                         auto tmp24 = std::max(tmp19, tmp11);
2022-11-23T01:32:37.7883441Z                         auto tmp25 = static_cast<long>(1 + (2*i1));
2022-11-23T01:32:37.7883532Z                         auto tmp26 = tmp25 >= tmp1;
2022-11-23T01:32:37.7883627Z                         auto tmp27 = tmp25 < tmp3;
2022-11-23T01:32:37.7883705Z                         auto tmp28 = tmp26 & tmp27;
2022-11-23T01:32:37.7883795Z                         auto tmp29 = tmp5 & tmp28;
2022-11-23T01:32:37.7884011Z                         float tmp30 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.7884085Z                         if(tmp29)
2022-11-23T01:32:37.7884152Z                         {
2022-11-23T01:32:37.7884323Z                             auto tmp31 = in_ptr0[(-7) + (2*i1) + (16*i0)];
2022-11-23T01:32:37.7884442Z                             tmp30 = tmp31;
2022-11-23T01:32:37.7884509Z                         }
2022-11-23T01:32:37.7884680Z                         auto tmp32 = static_cast<long>((-7) + (2*i1) + (16*i0));
2022-11-23T01:32:37.7884773Z                         auto tmp33 = tmp30 > tmp24;
2022-11-23T01:32:37.7884876Z                         auto tmp34 = tmp33 ? tmp32 : tmp23;
2022-11-23T01:32:37.7884983Z                         auto tmp35 = std::max(tmp30, tmp24);
2022-11-23T01:32:37.7885119Z                         auto tmp36 = static_cast<long>(2*i0);
2022-11-23T01:32:37.7885213Z                         auto tmp37 = tmp36 >= tmp1;
2022-11-23T01:32:37.7885304Z                         auto tmp38 = tmp36 < tmp3;
2022-11-23T01:32:37.7885381Z                         auto tmp39 = tmp37 & tmp38;
2022-11-23T01:32:37.7885469Z                         auto tmp40 = tmp39 & tmp9;
2022-11-23T01:32:37.7885681Z                         float tmp41 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.7885760Z                         if(tmp40)
2022-11-23T01:32:37.7885828Z                         {
2022-11-23T01:32:37.7886000Z                             auto tmp42 = in_ptr0[(-1) + (2*i1) + (16*i0)];
2022-11-23T01:32:37.7886085Z                             tmp41 = tmp42;
2022-11-23T01:32:37.7886154Z                         }
2022-11-23T01:32:37.7886323Z                         auto tmp43 = static_cast<long>((-1) + (2*i1) + (16*i0));
2022-11-23T01:32:37.7886417Z                         auto tmp44 = tmp41 > tmp35;
2022-11-23T01:32:37.7886518Z                         auto tmp45 = tmp44 ? tmp43 : tmp34;
2022-11-23T01:32:37.7886627Z                         auto tmp46 = std::max(tmp41, tmp35);
2022-11-23T01:32:37.7886717Z                         auto tmp47 = tmp39 & tmp17;
2022-11-23T01:32:37.7886929Z                         float tmp48 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.7887006Z                         if(tmp47)
2022-11-23T01:32:37.7887062Z                         {
2022-11-23T01:32:37.7887172Z                             auto tmp49 = in_ptr0[(2*i1) + (16*i0)];
2022-11-23T01:32:37.7887254Z                             tmp48 = tmp49;
2022-11-23T01:32:37.7887320Z                         }
2022-11-23T01:32:37.7887434Z                         auto tmp50 = static_cast<long>((2*i1) + (16*i0));
2022-11-23T01:32:37.7887526Z                         auto tmp51 = tmp48 > tmp46;
2022-11-23T01:32:37.7887626Z                         auto tmp52 = tmp51 ? tmp50 : tmp45;
2022-11-23T01:32:37.7887735Z                         auto tmp53 = std::max(tmp48, tmp46);
2022-11-23T01:32:37.7887813Z                         auto tmp54 = tmp39 & tmp28;
2022-11-23T01:32:37.7888028Z                         float tmp55 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.7888102Z                         if(tmp54)
2022-11-23T01:32:37.7888167Z                         {
2022-11-23T01:32:37.7888274Z                             auto tmp56 = in_ptr0[1 + (2*i1) + (16*i0)];
2022-11-23T01:32:37.7888356Z                             tmp55 = tmp56;
2022-11-23T01:32:37.7888424Z                         }
2022-11-23T01:32:37.7888528Z                         auto tmp57 = static_cast<long>(1 + (2*i1) + (16*i0));
2022-11-23T01:32:37.7888620Z                         auto tmp58 = tmp55 > tmp53;
2022-11-23T01:32:37.7888720Z                         auto tmp59 = tmp58 ? tmp57 : tmp52;
2022-11-23T01:32:37.7888826Z                         auto tmp60 = std::max(tmp55, tmp53);
2022-11-23T01:32:37.7888936Z                         auto tmp61 = static_cast<long>(1 + (2*i0));
2022-11-23T01:32:37.7889029Z                         auto tmp62 = tmp61 >= tmp1;
2022-11-23T01:32:37.7889120Z                         auto tmp63 = tmp61 < tmp3;
2022-11-23T01:32:37.7889210Z                         auto tmp64 = tmp62 & tmp63;
2022-11-23T01:32:37.7889288Z                         auto tmp65 = tmp64 & tmp9;
2022-11-23T01:32:37.7889499Z                         float tmp66 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.7889572Z                         if(tmp65)
2022-11-23T01:32:37.7889670Z                         {
2022-11-23T01:32:37.7889776Z                             auto tmp67 = in_ptr0[7 + (2*i1) + (16*i0)];
2022-11-23T01:32:37.7889858Z                             tmp66 = tmp67;
2022-11-23T01:32:37.7889923Z                         }
2022-11-23T01:32:37.7890025Z                         auto tmp68 = static_cast<long>(7 + (2*i1) + (16*i0));
2022-11-23T01:32:37.7890116Z                         auto tmp69 = tmp66 > tmp60;
2022-11-23T01:32:37.7890243Z                         auto tmp70 = tmp69 ? tmp68 : tmp59;
2022-11-23T01:32:37.7890352Z                         auto tmp71 = std::max(tmp66, tmp60);
2022-11-23T01:32:37.7890443Z                         auto tmp72 = tmp64 & tmp17;
2022-11-23T01:32:37.7890657Z                         float tmp73 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.7890731Z                         if(tmp72)
2022-11-23T01:32:37.7890785Z                         {
2022-11-23T01:32:37.7890890Z                             auto tmp74 = in_ptr0[8 + (2*i1) + (16*i0)];
2022-11-23T01:32:37.7890973Z                             tmp73 = tmp74;
2022-11-23T01:32:37.7891040Z                         }
2022-11-23T01:32:37.7891155Z                         auto tmp75 = static_cast<long>(8 + (2*i1) + (16*i0));
2022-11-23T01:32:37.7891247Z                         auto tmp76 = tmp73 > tmp71;
2022-11-23T01:32:37.7891348Z                         auto tmp77 = tmp76 ? tmp75 : tmp70;
2022-11-23T01:32:37.7891457Z                         auto tmp78 = std::max(tmp73, tmp71);
2022-11-23T01:32:37.7891537Z                         auto tmp79 = tmp64 & tmp28;
2022-11-23T01:32:37.7891752Z                         float tmp80 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.7891828Z                         if(tmp79)
2022-11-23T01:32:37.7891895Z                         {
2022-11-23T01:32:37.7892001Z                             auto tmp81 = in_ptr0[9 + (2*i1) + (16*i0)];
2022-11-23T01:32:37.7892082Z                             tmp80 = tmp81;
2022-11-23T01:32:37.7892152Z                         }
2022-11-23T01:32:37.7892256Z                         auto tmp82 = static_cast<long>(9 + (2*i1) + (16*i0));
2022-11-23T01:32:37.7892347Z                         auto tmp83 = tmp80 > tmp78;
2022-11-23T01:32:37.7892447Z                         auto tmp84 = tmp83 ? tmp82 : tmp77;
2022-11-23T01:32:37.7892552Z                         auto tmp85 = std::max(tmp80, tmp78);
2022-11-23T01:32:37.7892769Z                         float tmp86 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.7892842Z                         if(tmp10)
2022-11-23T01:32:37.7892910Z                         {
2022-11-23T01:32:37.7893081Z                             auto tmp87 = in_ptr0[(-9) + (2*i1) + (16*i0)];
2022-11-23T01:32:37.7893151Z                             tmp86 = tmp87;
2022-11-23T01:32:37.7893217Z                         }
2022-11-23T01:32:37.7893428Z                         float tmp88 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.7893503Z                         if(tmp18)
2022-11-23T01:32:37.7893572Z                         {
2022-11-23T01:32:37.7893738Z                             auto tmp89 = in_ptr0[(-8) + (2*i1) + (16*i0)];
2022-11-23T01:32:37.7893817Z                             tmp88 = tmp89;
2022-11-23T01:32:37.7893871Z                         }
2022-11-23T01:32:37.7893963Z                         auto tmp90 = tmp88 > tmp86;
2022-11-23T01:32:37.7894062Z                         auto tmp91 = tmp90 ? tmp21 : tmp13;
2022-11-23T01:32:37.7894170Z                         auto tmp92 = std::max(tmp88, tmp86);
2022-11-23T01:32:37.7894380Z                         float tmp93 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.7894453Z                         if(tmp29)
2022-11-23T01:32:37.7894520Z                         {
2022-11-23T01:32:37.7894688Z                             auto tmp94 = in_ptr0[(-7) + (2*i1) + (16*i0)];
2022-11-23T01:32:37.7894758Z                             tmp93 = tmp94;
2022-11-23T01:32:37.7894823Z                         }
2022-11-23T01:32:37.7894946Z                         auto tmp95 = tmp93 > tmp92;
2022-11-23T01:32:37.7895046Z                         auto tmp96 = tmp95 ? tmp32 : tmp91;
2022-11-23T01:32:37.7895151Z                         auto tmp97 = std::max(tmp93, tmp92);
2022-11-23T01:32:37.7895360Z                         float tmp98 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.7895435Z                         if(tmp40)
2022-11-23T01:32:37.7895489Z                         {
2022-11-23T01:32:37.7895684Z                             auto tmp99 = in_ptr0[(-1) + (2*i1) + (16*i0)];
2022-11-23T01:32:37.7895766Z                             tmp98 = tmp99;
2022-11-23T01:32:37.7895833Z                         }
2022-11-23T01:32:37.7895933Z                         auto tmp100 = tmp98 > tmp97;
2022-11-23T01:32:37.7896036Z                         auto tmp101 = tmp100 ? tmp43 : tmp96;
2022-11-23T01:32:37.7896144Z                         auto tmp102 = std::max(tmp98, tmp97);
2022-11-23T01:32:37.7896360Z                         float tmp103 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.7896425Z                         if(tmp47)
2022-11-23T01:32:37.7896491Z                         {
2022-11-23T01:32:37.7896597Z                             auto tmp104 = in_ptr0[(2*i1) + (16*i0)];
2022-11-23T01:32:37.7896682Z                             tmp103 = tmp104;
2022-11-23T01:32:37.7896749Z                         }
2022-11-23T01:32:37.7896845Z                         auto tmp105 = tmp103 > tmp102;
2022-11-23T01:32:37.7896951Z                         auto tmp106 = tmp105 ? tmp50 : tmp101;
2022-11-23T01:32:37.7897049Z                         auto tmp107 = std::max(tmp103, tmp102);
2022-11-23T01:32:37.7897262Z                         float tmp108 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.7897335Z                         if(tmp54)
2022-11-23T01:32:37.7897402Z                         {
2022-11-23T01:32:37.7897510Z                             auto tmp109 = in_ptr0[1 + (2*i1) + (16*i0)];
2022-11-23T01:32:37.7897597Z                             tmp108 = tmp109;
2022-11-23T01:32:37.7897663Z                         }
2022-11-23T01:32:37.7897747Z                         auto tmp110 = tmp108 > tmp107;
2022-11-23T01:32:37.7897849Z                         auto tmp111 = tmp110 ? tmp57 : tmp106;
2022-11-23T01:32:37.7897957Z                         auto tmp112 = std::max(tmp108, tmp107);
2022-11-23T01:32:37.7898172Z                         float tmp113 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.7898250Z                         if(tmp65)
2022-11-23T01:32:37.7898317Z                         {
2022-11-23T01:32:37.7898424Z                             auto tmp114 = in_ptr0[7 + (2*i1) + (16*i0)];
2022-11-23T01:32:37.7898508Z                             tmp113 = tmp114;
2022-11-23T01:32:37.7898562Z                         }
2022-11-23T01:32:37.7898657Z                         auto tmp115 = tmp113 > tmp112;
2022-11-23T01:32:37.7898760Z                         auto tmp116 = tmp115 ? tmp68 : tmp111;
2022-11-23T01:32:37.7898871Z                         auto tmp117 = std::max(tmp113, tmp112);
2022-11-23T01:32:37.7899086Z                         float tmp118 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.7899160Z                         if(tmp72)
2022-11-23T01:32:37.7899228Z                         {
2022-11-23T01:32:37.7899335Z                             auto tmp119 = in_ptr0[8 + (2*i1) + (16*i0)];
2022-11-23T01:32:37.7899408Z                             tmp118 = tmp119;
2022-11-23T01:32:37.7899476Z                         }
2022-11-23T01:32:37.7899570Z                         auto tmp120 = tmp118 > tmp117;
2022-11-23T01:32:37.7899674Z                         auto tmp121 = tmp120 ? tmp75 : tmp116;
2022-11-23T01:32:37.7899784Z                         auto tmp122 = std::max(tmp118, tmp117);
2022-11-23T01:32:37.7900000Z                         float tmp123 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.7900076Z                         if(tmp79)
2022-11-23T01:32:37.7900130Z                         {
2022-11-23T01:32:37.7900267Z                             auto tmp124 = in_ptr0[9 + (2*i1) + (16*i0)];
2022-11-23T01:32:37.7900353Z                             tmp123 = tmp124;
2022-11-23T01:32:37.7900420Z                         }
2022-11-23T01:32:37.7900524Z                         auto tmp125 = tmp123 > tmp122;
2022-11-23T01:32:37.7900627Z                         auto tmp126 = tmp125 ? tmp82 : tmp121;
2022-11-23T01:32:37.7900737Z                         auto tmp127 = std::max(tmp123, tmp122);
2022-11-23T01:32:37.7900860Z                         out_ptr0[i1 + (4*i0)] = tmp85;
2022-11-23T01:32:37.7900942Z                         out_ptr1[i1 + (4*i0)] = tmp126;
2022-11-23T01:32:37.7901010Z                     }
2022-11-23T01:32:37.7901073Z                 }
2022-11-23T01:32:37.7901138Z             }
2022-11-23T01:32:37.7901202Z         }
2022-11-23T01:32:37.7901265Z     }
2022-11-23T01:32:37.7901313Z }
2022-11-23T01:32:37.7901391Z ''')
2022-11-23T01:32:37.7901399Z 
2022-11-23T01:32:37.7901403Z 
2022-11-23T01:32:37.7901497Z async_compile.wait(globals())
2022-11-23T01:32:37.7901568Z del async_compile
2022-11-23T01:32:37.7901574Z 
2022-11-23T01:32:37.7901643Z def call(args):
2022-11-23T01:32:37.7901713Z     arg0_1, = args
2022-11-23T01:32:37.7901786Z     args.clear()
2022-11-23T01:32:37.7902000Z     buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7902193Z     buf1 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.7902362Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7902431Z     del arg0_1
2022-11-23T01:32:37.7902508Z     return (buf0, buf1, )
2022-11-23T01:32:37.7902513Z 
2022-11-23T01:32:37.7902517Z 
2022-11-23T01:32:37.7902593Z if __name__ == "__main__":
2022-11-23T01:32:37.7902707Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7902830Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7903044Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7903137Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.7903507Z [2022-11-23 01:24:36,758] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6z/c6z7witinhxzeen5sq45bramwtbnvtb52sk6wtkrmtn4vj7oxhlw.py
2022-11-23T01:32:37.7903775Z [2022-11-23 01:24:36,758] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 302
2022-11-23T01:32:37.7903780Z 
2022-11-23T01:32:37.7903848Z ok (2.813s)
2022-11-23T01:32:37.7904154Z   test_max_pool2d4_cpu (__main__.CpuTests) ... [2022-11-23 01:24:36,778] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7904422Z [2022-11-23 01:24:36,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7904730Z [2022-11-23 01:24:36,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7904985Z [2022-11-23 01:24:36,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.7905272Z [2022-11-23 01:24:36,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.7905582Z [2022-11-23 01:24:36,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7905915Z [2022-11-23 01:24:36,779] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f640a780, file "inductor/test_torchinductor.py", line 1980> 
2022-11-23T01:32:37.7906010Z  1982           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.7906126Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:32:37.7906218Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.7906310Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:37.7906438Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:37.7906527Z               10 BUILD_LIST               2
2022-11-23T01:32:37.7906602Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:37.7906689Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:37.7906773Z               16 BUILD_LIST               2
2022-11-23T01:32:37.7906859Z               18 LOAD_CONST               3 (0)
2022-11-23T01:32:37.7906976Z               20 LOAD_CONST               3 (0)
2022-11-23T01:32:37.7907061Z               22 BUILD_LIST               2
2022-11-23T01:32:37.7907145Z               24 LOAD_CONST               4 (1)
2022-11-23T01:32:37.7907217Z               26 LOAD_CONST               4 (1)
2022-11-23T01:32:37.7907302Z               28 BUILD_LIST               2
2022-11-23T01:32:37.7907394Z               30 LOAD_CONST               5 (True)
2022-11-23T01:32:37.7907481Z               32 CALL_METHOD              6
2022-11-23T01:32:37.7907559Z               34 RETURN_VALUE
2022-11-23T01:32:37.7907623Z  
2022-11-23T01:32:37.7907628Z 
2022-11-23T01:32:37.7907897Z [2022-11-23 01:24:36,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1982
2022-11-23T01:32:37.7908112Z [2022-11-23 01:24:36,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.7908433Z [2022-11-23 01:24:36,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.7908708Z [2022-11-23 01:24:36,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:37.7909013Z [2022-11-23 01:24:36,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:37.7909354Z [2022-11-23 01:24:36,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7909737Z [2022-11-23 01:24:36,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.7910067Z [2022-11-23 01:24:36,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.7910437Z [2022-11-23 01:24:36,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7910843Z [2022-11-23 01:24:36,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.7911193Z [2022-11-23 01:24:36,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.7911584Z [2022-11-23 01:24:36,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7912016Z [2022-11-23 01:24:36,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.7912388Z [2022-11-23 01:24:36,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.7912803Z [2022-11-23 01:24:36,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7913281Z [2022-11-23 01:24:36,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.7913759Z [2022-11-23 01:24:36,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.7914208Z [2022-11-23 01:24:36,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 6 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.7914452Z [2022-11-23 01:24:36,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.7914782Z [2022-11-23 01:24:36,796] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f640a780, file "inductor/test_torchinductor.py", line 1980>
2022-11-23T01:32:37.7915028Z [2022-11-23 01:24:36,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.7915259Z [2022-11-23 01:24:36,797] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7915514Z [2022-11-23 01:24:36,798] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7915762Z [2022-11-23 01:24:36,803] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7915949Z [2022-11-23 01:24:36,804] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7916082Z  __compiled_fn_310 <eval_with_key>.1937 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7916158Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7916327Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2], [0, 0], [1, 1], True), {}
2022-11-23T01:32:37.7916547Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:37.7916764Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:32:37.7916877Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:37.7916883Z 
2022-11-23T01:32:37.7917350Z [2022-11-23 01:24:36,804] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7917446Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7917537Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7917616Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7917706Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7917782Z               8 RETURN_VALUE
2022-11-23T01:32:37.7917788Z 
2022-11-23T01:32:37.7917851Z  
2022-11-23T01:32:37.7918128Z [2022-11-23 01:24:36,805] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7918241Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_310)
2022-11-23T01:32:37.7918331Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7918421Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7918486Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7918575Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7918678Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.7918777Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7918865Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7918942Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.7919042Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7919117Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.7919255Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.7919342Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.7919418Z              26 RETURN_VALUE
2022-11-23T01:32:37.7919424Z 
2022-11-23T01:32:37.7919487Z  
2022-11-23T01:32:37.7919669Z [2022-11-23 01:24:36,806] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7919739Z  - 
2022-11-23T01:32:37.7919845Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7919912Z             {
2022-11-23T01:32:37.7920088Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7920282Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7920400Z                 'obj_weakref': None
2022-11-23T01:32:37.7920623Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7920692Z             }
2022-11-23T01:32:37.7920756Z             
2022-11-23T01:32:37.7920812Z  - 
2022-11-23T01:32:37.7920935Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7921000Z             {
2022-11-23T01:32:37.7921142Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7921246Z                 'code': None,
2022-11-23T01:32:37.7921453Z                 'obj_weakref': <weakref at 0x7f710ce1f590; to 'Tensor' at 0x7f71c12eb770>
2022-11-23T01:32:37.7921698Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7921749Z             }
2022-11-23T01:32:37.7921813Z             
2022-11-23T01:32:37.7921880Z  - 
2022-11-23T01:32:37.7922009Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.7922070Z             {
2022-11-23T01:32:37.7922203Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7922359Z                 'code': ['___check_obj_id(model, 140123062771152)'],
2022-11-23T01:32:37.7922474Z                 'obj_weakref': None
2022-11-23T01:32:37.7922697Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.7922761Z             }
2022-11-23T01:32:37.7922824Z             
2022-11-23T01:32:37.7922893Z  - 
2022-11-23T01:32:37.7923012Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7923062Z             {
2022-11-23T01:32:37.7923196Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7923409Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7923528Z                 'obj_weakref': None
2022-11-23T01:32:37.7923743Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7923805Z             }
2022-11-23T01:32:37.7923867Z             
2022-11-23T01:32:37.7923923Z  - 
2022-11-23T01:32:37.7924052Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.7924114Z             {
2022-11-23T01:32:37.7924230Z                 'guard_types': None,
2022-11-23T01:32:37.7924334Z                 'code': None,
2022-11-23T01:32:37.7924452Z                 'obj_weakref': None
2022-11-23T01:32:37.7924569Z                 'guarded_class': None
2022-11-23T01:32:37.7924618Z             }
2022-11-23T01:32:37.7924680Z             
2022-11-23T01:32:37.7924938Z [2022-11-23 01:24:36,817] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 303
2022-11-23T01:32:37.7925307Z [2022-11-23 01:24:39,696] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/me/cmeswgki4tw7n2f54ppceugo7w6rfzhl3ztqwovt5bye3tmciovy.py
2022-11-23T01:32:37.7925569Z [2022-11-23 01:24:39,696] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 303
2022-11-23T01:32:37.7925575Z 
2022-11-23T01:32:37.7925667Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7925735Z import torch
2022-11-23T01:32:37.7925804Z import random
2022-11-23T01:32:37.7925906Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7926029Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7926064Z 
2022-11-23T01:32:37.7926142Z aten = torch.ops.aten
2022-11-23T01:32:37.7926273Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7926365Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7926370Z 
2022-11-23T01:32:37.7926374Z 
2022-11-23T01:32:37.7926505Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7926708Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7926855Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.7926944Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.7927038Z                        long* __restrict__ out_ptr1)
2022-11-23T01:32:37.7927098Z {
2022-11-23T01:32:37.7927198Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7927259Z     {
2022-11-23T01:32:37.7927336Z         #pragma omp for 
2022-11-23T01:32:37.7927417Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:37.7927468Z         {
2022-11-23T01:32:37.7927550Z             #pragma GCC ivdep
2022-11-23T01:32:37.7927634Z             for(long i1=0; i1<55; i1+=1)
2022-11-23T01:32:37.7927696Z             {
2022-11-23T01:32:37.7927776Z                 #pragma GCC ivdep
2022-11-23T01:32:37.7927863Z                 for(long i2=0; i2<55; i2+=1)
2022-11-23T01:32:37.7927931Z                 {
2022-11-23T01:32:37.7927984Z                     {
2022-11-23T01:32:37.7928051Z                         {
2022-11-23T01:32:37.7928167Z                             auto tmp0 = in_ptr0[(2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:37.7928282Z                             auto tmp2 = in_ptr0[1 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:37.7928391Z                             auto tmp7 = in_ptr0[2 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:37.7928505Z                             auto tmp12 = in_ptr0[111 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:37.7928618Z                             auto tmp17 = in_ptr0[112 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:37.7928722Z                             auto tmp22 = in_ptr0[113 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:37.7928836Z                             auto tmp27 = in_ptr0[222 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:37.7928944Z                             auto tmp32 = in_ptr0[223 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:37.7929052Z                             auto tmp37 = in_ptr0[224 + (2*i2) + (222*i1) + (12321*i0)];
2022-11-23T01:32:37.7929169Z                             auto tmp1 = static_cast<long>((2*i2) + (222*i1));
2022-11-23T01:32:37.7929285Z                             auto tmp3 = static_cast<long>(1 + (2*i2) + (222*i1));
2022-11-23T01:32:37.7929381Z                             auto tmp4 = tmp2 > tmp0;
2022-11-23T01:32:37.7929482Z                             auto tmp5 = tmp4 ? tmp3 : tmp1;
2022-11-23T01:32:37.7929602Z                             auto tmp6 = std::max(tmp2, tmp0);
2022-11-23T01:32:37.7929707Z                             auto tmp8 = static_cast<long>(2 + (2*i2) + (222*i1));
2022-11-23T01:32:37.7929804Z                             auto tmp9 = tmp7 > tmp6;
2022-11-23T01:32:37.7929906Z                             auto tmp10 = tmp9 ? tmp8 : tmp5;
2022-11-23T01:32:37.7930014Z                             auto tmp11 = std::max(tmp7, tmp6);
2022-11-23T01:32:37.7930132Z                             auto tmp13 = static_cast<long>(111 + (2*i2) + (222*i1));
2022-11-23T01:32:37.7930229Z                             auto tmp14 = tmp12 > tmp11;
2022-11-23T01:32:37.7930334Z                             auto tmp15 = tmp14 ? tmp13 : tmp10;
2022-11-23T01:32:37.7930431Z                             auto tmp16 = std::max(tmp12, tmp11);
2022-11-23T01:32:37.7930548Z                             auto tmp18 = static_cast<long>(112 + (2*i2) + (222*i1));
2022-11-23T01:32:37.7930642Z                             auto tmp19 = tmp17 > tmp16;
2022-11-23T01:32:37.7930744Z                             auto tmp20 = tmp19 ? tmp18 : tmp15;
2022-11-23T01:32:37.7930853Z                             auto tmp21 = std::max(tmp17, tmp16);
2022-11-23T01:32:37.7931001Z                             auto tmp23 = static_cast<long>(113 + (2*i2) + (222*i1));
2022-11-23T01:32:37.7931096Z                             auto tmp24 = tmp22 > tmp21;
2022-11-23T01:32:37.7931198Z                             auto tmp25 = tmp24 ? tmp23 : tmp20;
2022-11-23T01:32:37.7931293Z                             auto tmp26 = std::max(tmp22, tmp21);
2022-11-23T01:32:37.7931444Z                             auto tmp28 = static_cast<long>(222 + (2*i2) + (222*i1));
2022-11-23T01:32:37.7931539Z                             auto tmp29 = tmp27 > tmp26;
2022-11-23T01:32:37.7931641Z                             auto tmp30 = tmp29 ? tmp28 : tmp25;
2022-11-23T01:32:37.7931748Z                             auto tmp31 = std::max(tmp27, tmp26);
2022-11-23T01:32:37.7931864Z                             auto tmp33 = static_cast<long>(223 + (2*i2) + (222*i1));
2022-11-23T01:32:37.7931959Z                             auto tmp34 = tmp32 > tmp31;
2022-11-23T01:32:37.7932063Z                             auto tmp35 = tmp34 ? tmp33 : tmp30;
2022-11-23T01:32:37.7932159Z                             auto tmp36 = std::max(tmp32, tmp31);
2022-11-23T01:32:37.7932274Z                             auto tmp38 = static_cast<long>(224 + (2*i2) + (222*i1));
2022-11-23T01:32:37.7932369Z                             auto tmp39 = tmp37 > tmp36;
2022-11-23T01:32:37.7932470Z                             auto tmp40 = tmp39 ? tmp38 : tmp35;
2022-11-23T01:32:37.7932578Z                             auto tmp41 = std::max(tmp37, tmp36);
2022-11-23T01:32:37.7932680Z                             out_ptr0[i2 + (55*i1) + (3025*i0)] = tmp41;
2022-11-23T01:32:37.7932782Z                             out_ptr1[i2 + (55*i1) + (3025*i0)] = tmp40;
2022-11-23T01:32:37.7932849Z                         }
2022-11-23T01:32:37.7932904Z                     }
2022-11-23T01:32:37.7932967Z                 }
2022-11-23T01:32:37.7933031Z             }
2022-11-23T01:32:37.7933092Z         }
2022-11-23T01:32:37.7933155Z     }
2022-11-23T01:32:37.7933213Z }
2022-11-23T01:32:37.7933280Z ''')
2022-11-23T01:32:37.7933296Z 
2022-11-23T01:32:37.7933300Z 
2022-11-23T01:32:37.7933376Z async_compile.wait(globals())
2022-11-23T01:32:37.7933447Z del async_compile
2022-11-23T01:32:37.7933452Z 
2022-11-23T01:32:37.7933521Z def call(args):
2022-11-23T01:32:37.7933588Z     arg0_1, = args
2022-11-23T01:32:37.7933658Z     args.clear()
2022-11-23T01:32:37.7933881Z     buf0 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7934097Z     buf1 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.7934247Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7934313Z     del arg0_1
2022-11-23T01:32:37.7934389Z     return (buf0, buf1, )
2022-11-23T01:32:37.7934394Z 
2022-11-23T01:32:37.7934398Z 
2022-11-23T01:32:37.7934473Z if __name__ == "__main__":
2022-11-23T01:32:37.7934588Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7934709Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7934936Z     arg0_1 = rand_strided((2, 8, 111, 111), (98568, 12321, 111, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7935044Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.7935048Z 
2022-11-23T01:32:37.7935101Z ok (2.960s)
2022-11-23T01:32:37.7935415Z   test_max_pool2d5_cpu (__main__.CpuTests) ... [2022-11-23 01:24:39,894] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7935681Z [2022-11-23 01:24:39,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7935895Z [2022-11-23 01:24:39,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7936146Z [2022-11-23 01:24:39,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.7936464Z [2022-11-23 01:24:39,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.7936785Z [2022-11-23 01:24:39,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7937138Z [2022-11-23 01:24:39,895] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f640a8a0, file "inductor/test_torchinductor.py", line 1990> 
2022-11-23T01:32:37.7937233Z  1991           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.7937351Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:32:37.7937429Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.7937520Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:37.7937608Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:37.7937695Z               10 BUILD_LIST               2
2022-11-23T01:32:37.7937781Z               12 BUILD_LIST               0
2022-11-23T01:32:37.7937867Z               14 CALL_METHOD              3
2022-11-23T01:32:37.7937943Z               16 RETURN_VALUE
2022-11-23T01:32:37.7937991Z  
2022-11-23T01:32:37.7937995Z 
2022-11-23T01:32:37.7938263Z [2022-11-23 01:24:39,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1991
2022-11-23T01:32:37.7938480Z [2022-11-23 01:24:39,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.7938815Z [2022-11-23 01:24:39,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.7939090Z [2022-11-23 01:24:39,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:37.7939397Z [2022-11-23 01:24:39,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:37.7939744Z [2022-11-23 01:24:39,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7940130Z [2022-11-23 01:24:39,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.7940463Z [2022-11-23 01:24:39,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.7940822Z [2022-11-23 01:24:39,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.7941055Z [2022-11-23 01:24:39,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.7941382Z [2022-11-23 01:24:39,910] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f640a8a0, file "inductor/test_torchinductor.py", line 1990>
2022-11-23T01:32:37.7941622Z [2022-11-23 01:24:39,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.7941854Z [2022-11-23 01:24:39,910] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7942110Z [2022-11-23 01:24:39,913] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7942359Z [2022-11-23 01:24:39,918] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7942547Z [2022-11-23 01:24:39,918] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7942681Z  __compiled_fn_311 <eval_with_key>.1943 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7942772Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7942913Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], []), {}
2022-11-23T01:32:37.7943161Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:37.7943379Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:32:37.7943491Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:37.7943498Z 
2022-11-23T01:32:37.7943803Z [2022-11-23 01:24:39,919] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7943899Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7943989Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7944082Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7944160Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7944237Z               8 RETURN_VALUE
2022-11-23T01:32:37.7944242Z 
2022-11-23T01:32:37.7944304Z  
2022-11-23T01:32:37.7944660Z [2022-11-23 01:24:39,919] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7944771Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_311)
2022-11-23T01:32:37.7944861Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7944953Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7945031Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7945109Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7945214Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.7945315Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7945405Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7945482Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.7945583Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7945672Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.7945738Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.7945826Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.7945902Z              26 RETURN_VALUE
2022-11-23T01:32:37.7945907Z 
2022-11-23T01:32:37.7945968Z  
2022-11-23T01:32:37.7946154Z [2022-11-23 01:24:39,920] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7946224Z  - 
2022-11-23T01:32:37.7946343Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7946395Z             {
2022-11-23T01:32:37.7946536Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7946721Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7946841Z                 'obj_weakref': None
2022-11-23T01:32:37.7947066Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7947131Z             }
2022-11-23T01:32:37.7947197Z             
2022-11-23T01:32:37.7947253Z  - 
2022-11-23T01:32:37.7947376Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7947442Z             {
2022-11-23T01:32:37.7947585Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7947691Z                 'code': None,
2022-11-23T01:32:37.7947901Z                 'obj_weakref': <weakref at 0x7f7141296ad0; to 'Tensor' at 0x7f710ce1f710>
2022-11-23T01:32:37.7948149Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7948215Z             }
2022-11-23T01:32:37.7948268Z             
2022-11-23T01:32:37.7948334Z  - 
2022-11-23T01:32:37.7948463Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.7948529Z             {
2022-11-23T01:32:37.7948662Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7948830Z                 'code': ['___check_obj_id(model, 140123720661472)'],
2022-11-23T01:32:37.7948936Z                 'obj_weakref': None
2022-11-23T01:32:37.7949165Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.7949263Z             }
2022-11-23T01:32:37.7949325Z             
2022-11-23T01:32:37.7949395Z  - 
2022-11-23T01:32:37.7949514Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7949577Z             {
2022-11-23T01:32:37.7949700Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7949915Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7950062Z                 'obj_weakref': None
2022-11-23T01:32:37.7950281Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7950346Z             }
2022-11-23T01:32:37.7950407Z             
2022-11-23T01:32:37.7950474Z  - 
2022-11-23T01:32:37.7950592Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.7950654Z             {
2022-11-23T01:32:37.7950770Z                 'guard_types': None,
2022-11-23T01:32:37.7950873Z                 'code': None,
2022-11-23T01:32:37.7950992Z                 'obj_weakref': None
2022-11-23T01:32:37.7951111Z                 'guarded_class': None
2022-11-23T01:32:37.7951172Z             }
2022-11-23T01:32:37.7951221Z             
2022-11-23T01:32:37.7951478Z [2022-11-23 01:24:39,928] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 304
2022-11-23T01:32:37.7951844Z [2022-11-23 01:24:42,621] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d6/cd63ifqnqxq2aeqrfl5l6qr2fiod75w4eqf2by3kruuidjg5t64z.py
2022-11-23T01:32:37.7952105Z [2022-11-23 01:24:42,621] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 304
2022-11-23T01:32:37.7952110Z 
2022-11-23T01:32:37.7952202Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7952272Z import torch
2022-11-23T01:32:37.7952340Z import random
2022-11-23T01:32:37.7952454Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7952563Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7952570Z 
2022-11-23T01:32:37.7952646Z aten = torch.ops.aten
2022-11-23T01:32:37.7952777Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7952869Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7952874Z 
2022-11-23T01:32:37.7952878Z 
2022-11-23T01:32:37.7953009Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.7953214Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.7953334Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.7953432Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.7953516Z                        long* __restrict__ out_ptr1)
2022-11-23T01:32:37.7953579Z {
2022-11-23T01:32:37.7953674Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.7953735Z     {
2022-11-23T01:32:37.7953811Z         #pragma omp for 
2022-11-23T01:32:37.7953892Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:37.7953955Z         {
2022-11-23T01:32:37.7954022Z             #pragma GCC ivdep
2022-11-23T01:32:37.7954106Z             for(long i1=0; i1<18; i1+=1)
2022-11-23T01:32:37.7954169Z             {
2022-11-23T01:32:37.7954248Z                 #pragma GCC ivdep
2022-11-23T01:32:37.7954337Z                 for(long i2=0; i2<18; i2+=1)
2022-11-23T01:32:37.7954400Z                 {
2022-11-23T01:32:37.7954467Z                     {
2022-11-23T01:32:37.7954523Z                         {
2022-11-23T01:32:37.7954637Z                             auto tmp0 = in_ptr0[(3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:32:37.7954751Z                             auto tmp2 = in_ptr0[1 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:32:37.7954859Z                             auto tmp7 = in_ptr0[2 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:32:37.7954971Z                             auto tmp12 = in_ptr0[55 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:32:37.7955080Z                             auto tmp17 = in_ptr0[56 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:32:37.7955221Z                             auto tmp22 = in_ptr0[57 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:32:37.7955334Z                             auto tmp27 = in_ptr0[110 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:32:37.7955436Z                             auto tmp32 = in_ptr0[111 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:32:37.7955547Z                             auto tmp37 = in_ptr0[112 + (3*i2) + (165*i1) + (3025*i0)];
2022-11-23T01:32:37.7955709Z                             auto tmp1 = static_cast<long>((3*i2) + (165*i1));
2022-11-23T01:32:37.7955827Z                             auto tmp3 = static_cast<long>(1 + (3*i2) + (165*i1));
2022-11-23T01:32:37.7955923Z                             auto tmp4 = tmp2 > tmp0;
2022-11-23T01:32:37.7956024Z                             auto tmp5 = tmp4 ? tmp3 : tmp1;
2022-11-23T01:32:37.7956137Z                             auto tmp6 = std::max(tmp2, tmp0);
2022-11-23T01:32:37.7956252Z                             auto tmp8 = static_cast<long>(2 + (3*i2) + (165*i1));
2022-11-23T01:32:37.7956336Z                             auto tmp9 = tmp7 > tmp6;
2022-11-23T01:32:37.7956437Z                             auto tmp10 = tmp9 ? tmp8 : tmp5;
2022-11-23T01:32:37.7956546Z                             auto tmp11 = std::max(tmp7, tmp6);
2022-11-23T01:32:37.7956665Z                             auto tmp13 = static_cast<long>(55 + (3*i2) + (165*i1));
2022-11-23T01:32:37.7956766Z                             auto tmp14 = tmp12 > tmp11;
2022-11-23T01:32:37.7956873Z                             auto tmp15 = tmp14 ? tmp13 : tmp10;
2022-11-23T01:32:37.7956982Z                             auto tmp16 = std::max(tmp12, tmp11);
2022-11-23T01:32:37.7957087Z                             auto tmp18 = static_cast<long>(56 + (3*i2) + (165*i1));
2022-11-23T01:32:37.7957332Z                             auto tmp19 = tmp17 > tmp16;
2022-11-23T01:32:37.7957444Z                             auto tmp20 = tmp19 ? tmp18 : tmp15;
2022-11-23T01:32:37.7957555Z                             auto tmp21 = std::max(tmp17, tmp16);
2022-11-23T01:32:37.7957675Z                             auto tmp23 = static_cast<long>(57 + (3*i2) + (165*i1));
2022-11-23T01:32:37.7957772Z                             auto tmp24 = tmp22 > tmp21;
2022-11-23T01:32:37.7957874Z                             auto tmp25 = tmp24 ? tmp23 : tmp20;
2022-11-23T01:32:37.7957983Z                             auto tmp26 = std::max(tmp22, tmp21);
2022-11-23T01:32:37.7958091Z                             auto tmp28 = static_cast<long>(110 + (3*i2) + (165*i1));
2022-11-23T01:32:37.7958187Z                             auto tmp29 = tmp27 > tmp26;
2022-11-23T01:32:37.7958292Z                             auto tmp30 = tmp29 ? tmp28 : tmp25;
2022-11-23T01:32:37.7958399Z                             auto tmp31 = std::max(tmp27, tmp26);
2022-11-23T01:32:37.7958518Z                             auto tmp33 = static_cast<long>(111 + (3*i2) + (165*i1));
2022-11-23T01:32:37.7958614Z                             auto tmp34 = tmp32 > tmp31;
2022-11-23T01:32:37.7958720Z                             auto tmp35 = tmp34 ? tmp33 : tmp30;
2022-11-23T01:32:37.7958827Z                             auto tmp36 = std::max(tmp32, tmp31);
2022-11-23T01:32:37.7958933Z                             auto tmp38 = static_cast<long>(112 + (3*i2) + (165*i1));
2022-11-23T01:32:37.7959029Z                             auto tmp39 = tmp37 > tmp36;
2022-11-23T01:32:37.7959134Z                             auto tmp40 = tmp39 ? tmp38 : tmp35;
2022-11-23T01:32:37.7959243Z                             auto tmp41 = std::max(tmp37, tmp36);
2022-11-23T01:32:37.7959348Z                             out_ptr0[i2 + (18*i1) + (324*i0)] = tmp41;
2022-11-23T01:32:37.7959450Z                             out_ptr1[i2 + (18*i1) + (324*i0)] = tmp40;
2022-11-23T01:32:37.7959519Z                         }
2022-11-23T01:32:37.7959586Z                     }
2022-11-23T01:32:37.7959637Z                 }
2022-11-23T01:32:37.7959698Z             }
2022-11-23T01:32:37.7959760Z         }
2022-11-23T01:32:37.7959822Z     }
2022-11-23T01:32:37.7959940Z }
2022-11-23T01:32:37.7960034Z ''')
2022-11-23T01:32:37.7960039Z 
2022-11-23T01:32:37.7960044Z 
2022-11-23T01:32:37.7960135Z async_compile.wait(globals())
2022-11-23T01:32:37.7960194Z del async_compile
2022-11-23T01:32:37.7960199Z 
2022-11-23T01:32:37.7960269Z def call(args):
2022-11-23T01:32:37.7960338Z     arg0_1, = args
2022-11-23T01:32:37.7960409Z     args.clear()
2022-11-23T01:32:37.7960670Z     buf0 = empty_strided((16, 64, 18, 18), (20736, 324, 18, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7960890Z     buf1 = empty_strided((16, 64, 18, 18), (20736, 324, 18, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.7961052Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.7961107Z     del arg0_1
2022-11-23T01:32:37.7961185Z     return (buf0, buf1, )
2022-11-23T01:32:37.7961190Z 
2022-11-23T01:32:37.7961195Z 
2022-11-23T01:32:37.7961269Z if __name__ == "__main__":
2022-11-23T01:32:37.7961383Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7961506Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7961731Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7961837Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.7961841Z 
2022-11-23T01:32:37.7961907Z ok (3.022s)
2022-11-23T01:32:37.7962208Z   test_max_pool2d6_cpu (__main__.CpuTests) ... [2022-11-23 01:24:42,853] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7962477Z [2022-11-23 01:24:42,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7962693Z [2022-11-23 01:24:42,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7962948Z [2022-11-23 01:24:42,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.7963237Z [2022-11-23 01:24:42,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.7963559Z [2022-11-23 01:24:42,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7963885Z [2022-11-23 01:24:42,854] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f640a9c0, file "inductor/test_torchinductor.py", line 2000> 
2022-11-23T01:32:37.7963980Z  2001           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.7964094Z                2 LOAD_METHOD              1 (max_pool2d_with_indices)
2022-11-23T01:32:37.7964183Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.7964262Z                6 LOAD_CONST               1 (13)
2022-11-23T01:32:37.7964350Z                8 LOAD_CONST               1 (13)
2022-11-23T01:32:37.7964437Z               10 BUILD_LIST               2
2022-11-23T01:32:37.7964525Z               12 BUILD_LIST               0
2022-11-23T01:32:37.7964609Z               14 CALL_METHOD              3
2022-11-23T01:32:37.7964684Z               16 RETURN_VALUE
2022-11-23T01:32:37.7964743Z  
2022-11-23T01:32:37.7964749Z 
2022-11-23T01:32:37.7965001Z [2022-11-23 01:24:42,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2001
2022-11-23T01:32:37.7965215Z [2022-11-23 01:24:42,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.7965546Z [2022-11-23 01:24:42,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.7965820Z [2022-11-23 01:24:42,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)]
2022-11-23T01:32:37.7966126Z [2022-11-23 01:24:42,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()]
2022-11-23T01:32:37.7966499Z [2022-11-23 01:24:42,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7966878Z [2022-11-23 01:24:42,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.7967234Z [2022-11-23 01:24:42,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.7967594Z [2022-11-23 01:24:42,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.7967838Z [2022-11-23 01:24:42,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.7968165Z [2022-11-23 01:24:42,869] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f640a9c0, file "inductor/test_torchinductor.py", line 2000>
2022-11-23T01:32:37.7968397Z [2022-11-23 01:24:42,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.7968630Z [2022-11-23 01:24:42,869] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7968884Z [2022-11-23 01:24:42,872] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7969131Z [2022-11-23 01:24:42,877] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7969314Z [2022-11-23 01:24:42,877] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7969446Z  __compiled_fn_312 <eval_with_key>.1949 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7969534Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7969689Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [13, 13], []), {}
2022-11-23T01:32:37.7969896Z call_function, getitem, <built-in function getitem>, (max_pool2d_with_indices, 0), {}
2022-11-23T01:32:37.7970113Z call_function, getitem_1, <built-in function getitem>, (max_pool2d_with_indices, 1), {}
2022-11-23T01:32:37.7970225Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:37.7970231Z 
2022-11-23T01:32:37.7970507Z [2022-11-23 01:24:42,877] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7970600Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7970690Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7970782Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7970871Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7970934Z               8 RETURN_VALUE
2022-11-23T01:32:37.7970953Z 
2022-11-23T01:32:37.7971002Z  
2022-11-23T01:32:37.7971274Z [2022-11-23 01:24:42,878] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7971380Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_312)
2022-11-23T01:32:37.7971470Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7971557Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7971633Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7971723Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.7971813Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.7971911Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7972003Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7972081Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.7972180Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.7972265Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.7972339Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.7972445Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.7972516Z              26 RETURN_VALUE
2022-11-23T01:32:37.7972521Z 
2022-11-23T01:32:37.7972579Z  
2022-11-23T01:32:37.7972759Z [2022-11-23 01:24:42,879] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7972829Z  - 
2022-11-23T01:32:37.7972946Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7973008Z             {
2022-11-23T01:32:37.7973162Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7973346Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.7973464Z                 'obj_weakref': None
2022-11-23T01:32:37.7973685Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7973749Z             }
2022-11-23T01:32:37.7973811Z             
2022-11-23T01:32:37.7973876Z  - 
2022-11-23T01:32:37.7973986Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.7974050Z             {
2022-11-23T01:32:37.7974191Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.7974297Z                 'code': None,
2022-11-23T01:32:37.7974507Z                 'obj_weakref': <weakref at 0x7f70f108e290; to 'Tensor' at 0x7f70f1097950>
2022-11-23T01:32:37.7974751Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.7974813Z             }
2022-11-23T01:32:37.7974866Z             
2022-11-23T01:32:37.7974933Z  - 
2022-11-23T01:32:37.7975062Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.7975124Z             {
2022-11-23T01:32:37.7975256Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.7975425Z                 'code': ['___check_obj_id(model, 140126547078320)'],
2022-11-23T01:32:37.7975542Z                 'obj_weakref': None
2022-11-23T01:32:37.7975756Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.7975820Z             }
2022-11-23T01:32:37.7975880Z             
2022-11-23T01:32:37.7975947Z  - 
2022-11-23T01:32:37.7976066Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.7976128Z             {
2022-11-23T01:32:37.7976262Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.7976465Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.7976582Z                 'obj_weakref': None
2022-11-23T01:32:37.7976798Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.7976860Z             }
2022-11-23T01:32:37.7976922Z             
2022-11-23T01:32:37.7976990Z  - 
2022-11-23T01:32:37.7977118Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.7977169Z             {
2022-11-23T01:32:37.7977287Z                 'guard_types': None,
2022-11-23T01:32:37.7977390Z                 'code': None,
2022-11-23T01:32:37.7977504Z                 'obj_weakref': None
2022-11-23T01:32:37.7977623Z                 'guarded_class': None
2022-11-23T01:32:37.7977685Z             }
2022-11-23T01:32:37.7977747Z             
2022-11-23T01:32:37.7977993Z [2022-11-23 01:24:42,887] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 305
2022-11-23T01:32:37.7978236Z [2022-11-23 01:24:42,890] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.max_pool2d_with_indices
2022-11-23T01:32:37.7978606Z [2022-11-23 01:24:42,894] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ss/cssf4bffopjz4oe5yzaesenr6nusgplbxu3f2lwtm5ob6wfvv4xt.py
2022-11-23T01:32:37.7978868Z [2022-11-23 01:24:42,894] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 305
2022-11-23T01:32:37.7978876Z 
2022-11-23T01:32:37.7978969Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.7979039Z import torch
2022-11-23T01:32:37.7979107Z import random
2022-11-23T01:32:37.7979222Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.7979360Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.7979377Z 
2022-11-23T01:32:37.7979441Z aten = torch.ops.aten
2022-11-23T01:32:37.7979575Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.7979666Z async_compile = AsyncCompile()
2022-11-23T01:32:37.7979671Z 
2022-11-23T01:32:37.7979676Z 
2022-11-23T01:32:37.7979762Z async_compile.wait(globals())
2022-11-23T01:32:37.7979834Z del async_compile
2022-11-23T01:32:37.7979873Z 
2022-11-23T01:32:37.7979944Z def call(args):
2022-11-23T01:32:37.7980014Z     arg0_1, = args
2022-11-23T01:32:37.7980072Z     args.clear()
2022-11-23T01:32:37.7980203Z     buf0 = aten.max_pool2d_with_indices(arg0_1, [13, 13], [13, 13], [0, 0], 1, False)
2022-11-23T01:32:37.7980272Z     del arg0_1
2022-11-23T01:32:37.7980341Z     buf1 = buf0[0]
2022-11-23T01:32:37.7980450Z     assert_size_stride(buf1, (16, 64, 4, 4), (1024, 16, 4, 1))
2022-11-23T01:32:37.7980518Z     buf2 = buf0[1]
2022-11-23T01:32:37.7980628Z     assert_size_stride(buf2, (16, 64, 4, 4), (1024, 16, 4, 1))
2022-11-23T01:32:37.7980681Z     del buf0
2022-11-23T01:32:37.7980757Z     return (buf1, buf2, )
2022-11-23T01:32:37.7980762Z 
2022-11-23T01:32:37.7980766Z 
2022-11-23T01:32:37.7980842Z if __name__ == "__main__":
2022-11-23T01:32:37.7980955Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.7981077Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.7981307Z     arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.7981415Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.7981420Z 
2022-11-23T01:32:37.7981487Z ok (0.176s)
2022-11-23T01:32:37.7981820Z   test_max_pool2d_with_indices_backward2_cpu (__main__.CpuTests) ... [2022-11-23 01:24:42,929] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.7982088Z [2022-11-23 01:24:42,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.7982309Z [2022-11-23 01:24:42,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.7982561Z [2022-11-23 01:24:42,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.7982850Z [2022-11-23 01:24:42,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.7983176Z [2022-11-23 01:24:42,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.7983501Z [2022-11-23 01:24:42,930] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6442810, file "inductor/test_torchinductor.py", line 3932> 
2022-11-23T01:32:37.7983597Z  3933           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.7983723Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T01:32:37.7983730Z 
2022-11-23T01:32:37.7983821Z 3934           4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.7983898Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.7983988Z                8 LOAD_CONST               1 (3)
2022-11-23T01:32:37.7984076Z               10 LOAD_CONST               1 (3)
2022-11-23T01:32:37.7984164Z               12 BUILD_LIST               2
2022-11-23T01:32:37.7984256Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:37.7984343Z               16 LOAD_CONST               2 (2)
2022-11-23T01:32:37.7984430Z               18 BUILD_LIST               2
2022-11-23T01:32:37.7984593Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:37.7984677Z               22 LOAD_CONST               3 (1)
2022-11-23T01:32:37.7984763Z               24 BUILD_LIST               2
2022-11-23T01:32:37.7984847Z               26 LOAD_CONST               3 (1)
2022-11-23T01:32:37.7984935Z               28 LOAD_CONST               3 (1)
2022-11-23T01:32:37.7985058Z               30 BUILD_LIST               2
2022-11-23T01:32:37.7985149Z               32 LOAD_CONST               4 (True)
2022-11-23T01:32:37.7985221Z               34 LOAD_FAST                2 (c)
2022-11-23T01:32:37.7985310Z               36 CALL_METHOD              8
2022-11-23T01:32:37.7985387Z               38 RETURN_VALUE
2022-11-23T01:32:37.7985449Z  
2022-11-23T01:32:37.7985454Z 
2022-11-23T01:32:37.7985755Z [2022-11-23 01:24:42,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3933
2022-11-23T01:32:37.7985972Z [2022-11-23 01:24:42,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.7986318Z [2022-11-23 01:24:42,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.7986586Z [2022-11-23 01:24:42,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3934
2022-11-23T01:32:37.7986881Z [2022-11-23 01:24:42,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T01:32:37.7987187Z [2022-11-23 01:24:42,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T01:32:37.7987540Z [2022-11-23 01:24:42,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.7987927Z [2022-11-23 01:24:42,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7988356Z [2022-11-23 01:24:42,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.7988731Z [2022-11-23 01:24:42,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.7989144Z [2022-11-23 01:24:42,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7989595Z [2022-11-23 01:24:42,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.7989987Z [2022-11-23 01:24:42,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.7990426Z [2022-11-23 01:24:42,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7990901Z [2022-11-23 01:24:42,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.7991321Z [2022-11-23 01:24:42,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.7991776Z [2022-11-23 01:24:42,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.7992301Z [2022-11-23 01:24:42,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.7992782Z [2022-11-23 01:24:42,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.7993272Z [2022-11-23 01:24:42,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.7993786Z [2022-11-23 01:24:42,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T01:32:37.7994033Z [2022-11-23 01:24:42,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7994359Z [2022-11-23 01:24:42,945] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6442810, file "inductor/test_torchinductor.py", line 3932>
2022-11-23T01:32:37.7994589Z [2022-11-23 01:24:42,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.7994818Z [2022-11-23 01:24:42,945] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.7995070Z [2022-11-23 01:24:42,947] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.7995317Z [2022-11-23 01:24:42,952] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.7995504Z [2022-11-23 01:24:42,953] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.7995636Z  __compiled_fn_313 <eval_with_key>.1955 opcode, name, target, args, kwargs
2022-11-23T01:32:37.7995726Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.7995813Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.7995884Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.7996084Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [3, 3], [2, 2], [1, 1], [1, 1], True, ex_2_), {}
2022-11-23T01:32:37.7996216Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T01:32:37.7996222Z 
2022-11-23T01:32:37.7996497Z [2022-11-23 01:24:42,953] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7996590Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.7996683Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7996777Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.7996866Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.7996929Z               8 RETURN_VALUE
2022-11-23T01:32:37.7996935Z 
2022-11-23T01:32:37.7996993Z  
2022-11-23T01:32:37.7997431Z [2022-11-23 01:24:42,953] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.7997542Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_313)
2022-11-23T01:32:37.7997631Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7997723Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.7997799Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.7997887Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7997961Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.7998036Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.7998178Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.7998267Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.7998342Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.7998429Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.7998521Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.7998583Z              24 RETURN_VALUE
2022-11-23T01:32:37.7998588Z 
2022-11-23T01:32:37.7998647Z  
2022-11-23T01:32:37.7998891Z [2022-11-23 01:24:42,954] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.7998964Z  - 
2022-11-23T01:32:37.7999082Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.7999146Z             {
2022-11-23T01:32:37.7999285Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.7999457Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 3'],
2022-11-23T01:32:37.7999576Z                 'obj_weakref': None
2022-11-23T01:32:37.7999797Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.7999865Z             }
2022-11-23T01:32:37.7999931Z             
2022-11-23T01:32:37.8000000Z  - 
2022-11-23T01:32:37.8000124Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.8000174Z             {
2022-11-23T01:32:37.8000317Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8000422Z                 'code': None,
2022-11-23T01:32:37.8000632Z                 'obj_weakref': <weakref at 0x7f7106d7e050; to 'Tensor' at 0x7f70f121c470>
2022-11-23T01:32:37.8000882Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8000946Z             }
2022-11-23T01:32:37.8001009Z             
2022-11-23T01:32:37.8001063Z  - 
2022-11-23T01:32:37.8001186Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.8001250Z             {
2022-11-23T01:32:37.8001396Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8001502Z                 'code': None,
2022-11-23T01:32:37.8001712Z                 'obj_weakref': <weakref at 0x7f7106d7ed70; to 'Tensor' at 0x7f70f121c1d0>
2022-11-23T01:32:37.8001957Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8002008Z             }
2022-11-23T01:32:37.8002070Z             
2022-11-23T01:32:37.8002137Z  - 
2022-11-23T01:32:37.8002257Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.8002319Z             {
2022-11-23T01:32:37.8002462Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8002565Z                 'code': None,
2022-11-23T01:32:37.8002756Z                 'obj_weakref': <weakref at 0x7f7106d7e350; to 'Tensor' at 0x7f70f121c2f0>
2022-11-23T01:32:37.8003000Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8003062Z             }
2022-11-23T01:32:37.8003124Z             
2022-11-23T01:32:37.8003193Z  - 
2022-11-23T01:32:37.8003322Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.8003386Z             {
2022-11-23T01:32:37.8003506Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.8003673Z                 'code': ['___check_obj_id(model, 140123394795712)'],
2022-11-23T01:32:37.8003791Z                 'obj_weakref': None
2022-11-23T01:32:37.8004016Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.8004081Z             }
2022-11-23T01:32:37.8004142Z             
2022-11-23T01:32:37.8004209Z  - 
2022-11-23T01:32:37.8004316Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.8004376Z             {
2022-11-23T01:32:37.8004508Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.8004720Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.8004835Z                 'obj_weakref': None
2022-11-23T01:32:37.8005048Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.8005142Z             }
2022-11-23T01:32:37.8005192Z             
2022-11-23T01:32:37.8005258Z  - 
2022-11-23T01:32:37.8005387Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.8005450Z             {
2022-11-23T01:32:37.8005565Z                 'guard_types': None,
2022-11-23T01:32:37.8005670Z                 'code': None,
2022-11-23T01:32:37.8005784Z                 'obj_weakref': None
2022-11-23T01:32:37.8005920Z                 'guarded_class': None
2022-11-23T01:32:37.8005983Z             }
2022-11-23T01:32:37.8006044Z             
2022-11-23T01:32:37.8006303Z [2022-11-23 01:24:42,963] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 306
2022-11-23T01:32:37.8006679Z [2022-11-23 01:24:45,601] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ny/cnybvilsvmhqsfaua2zrg4yjxaqlu4rsy4skfsswlswcshappzkf.py
2022-11-23T01:32:37.8006941Z [2022-11-23 01:24:45,602] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 306
2022-11-23T01:32:37.8006949Z 
2022-11-23T01:32:37.8007041Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.8007109Z import torch
2022-11-23T01:32:37.8007164Z import random
2022-11-23T01:32:37.8007277Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.8007396Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.8007401Z 
2022-11-23T01:32:37.8007482Z aten = torch.ops.aten
2022-11-23T01:32:37.8007615Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.8007706Z async_compile = AsyncCompile()
2022-11-23T01:32:37.8007711Z 
2022-11-23T01:32:37.8007715Z 
2022-11-23T01:32:37.8007847Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.8008049Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.8008155Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:37.8008261Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.8008360Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.8008420Z {
2022-11-23T01:32:37.8008517Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.8008578Z     {
2022-11-23T01:32:37.8008655Z         #pragma omp for 
2022-11-23T01:32:37.8008725Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.8008787Z         {
2022-11-23T01:32:37.8008867Z             #pragma GCC ivdep
2022-11-23T01:32:37.8008951Z             for(long i1=0; i1<40; i1+=1)
2022-11-23T01:32:37.8009013Z             {
2022-11-23T01:32:37.8009093Z                 #pragma GCC ivdep
2022-11-23T01:32:37.8009170Z                 for(long i2=0; i2<56; i2+=1)
2022-11-23T01:32:37.8009234Z                 {
2022-11-23T01:32:37.8009300Z                     {
2022-11-23T01:32:37.8009366Z                         {
2022-11-23T01:32:37.8009478Z                             auto tmp0 = static_cast<int>(i2 + (56*i1));
2022-11-23T01:32:37.8009589Z                             auto tmp1 = static_cast<int>((i1 / 2));
2022-11-23T01:32:37.8009694Z                             auto tmp2 = static_cast<int>((i2 / 2));
2022-11-23T01:32:37.8009808Z                             auto tmp3 = static_cast<int>(1 + (((1 + i1) / 2)));
2022-11-23T01:32:37.8009910Z                             auto tmp4 = static_cast<int>(1 + (((1 + i2) / 2)));
2022-11-23T01:32:37.8010014Z                             auto tmp5 = static_cast<int>(0);
2022-11-23T01:32:37.8010131Z                             auto tmp6 = std::max(tmp1, tmp5);
2022-11-23T01:32:37.8010237Z                             auto tmp7 = std::max(tmp2, tmp5);
2022-11-23T01:32:37.8010340Z                             auto tmp8 = static_cast<int>(21);
2022-11-23T01:32:37.8010442Z                             auto tmp9 = std::min(tmp3, tmp8);
2022-11-23T01:32:37.8010548Z                             auto tmp10 = static_cast<int>(29);
2022-11-23T01:32:37.8010656Z                             auto tmp11 = std::min(tmp4, tmp10);
2022-11-23T01:32:37.8010814Z                             auto tmp12 = tmp6 + tmp5;
2022-11-23T01:32:37.8010906Z                             auto tmp13 = tmp7 + tmp5;
2022-11-23T01:32:37.8011009Z                             auto tmp14 = static_cast<int>(1);
2022-11-23T01:32:37.8011159Z                             auto tmp15 = tmp9 - tmp14;
2022-11-23T01:32:37.8011272Z                             auto tmp16 = std::min(tmp12, tmp15);
2022-11-23T01:32:37.8011448Z                             auto tmp17 = tmp11 - tmp14;
2022-11-23T01:32:37.8011556Z                             auto tmp18 = std::min(tmp13, tmp17);
2022-11-23T01:32:37.8011661Z                             auto tmp19 = in_ptr0[tmp18 + (29*tmp16) + (609*i0)];
2022-11-23T01:32:37.8011778Z                             auto tmp20 = in_ptr1[tmp18 + (29*tmp16) + (609*i0)];
2022-11-23T01:32:37.8011877Z                             auto tmp21 = tmp19 == tmp0;
2022-11-23T01:32:37.8011987Z                             auto tmp22 = static_cast<float>(0.0);
2022-11-23T01:32:37.8012096Z                             auto tmp23 = tmp21 ? tmp20 : tmp22;
2022-11-23T01:32:37.8012196Z                             auto tmp24 = tmp7 + tmp14;
2022-11-23T01:32:37.8012304Z                             auto tmp25 = std::min(tmp24, tmp17);
2022-11-23T01:32:37.8012421Z                             auto tmp26 = in_ptr0[tmp25 + (29*tmp16) + (609*i0)];
2022-11-23T01:32:37.8012523Z                             auto tmp27 = in_ptr1[tmp25 + (29*tmp16) + (609*i0)];
2022-11-23T01:32:37.8012620Z                             auto tmp28 = tmp26 == tmp0;
2022-11-23T01:32:37.8012714Z                             auto tmp29 = tmp12 < tmp9;
2022-11-23T01:32:37.8012808Z                             auto tmp30 = tmp24 < tmp11;
2022-11-23T01:32:37.8012902Z                             auto tmp31 = tmp29 & tmp30;
2022-11-23T01:32:37.8012993Z                             auto tmp32 = tmp31 & tmp28;
2022-11-23T01:32:37.8013086Z                             auto tmp33 = tmp23 + tmp27;
2022-11-23T01:32:37.8013192Z                             auto tmp34 = tmp32 ? tmp33 : tmp23;
2022-11-23T01:32:37.8013274Z                             auto tmp35 = tmp6 + tmp14;
2022-11-23T01:32:37.8013381Z                             auto tmp36 = std::min(tmp35, tmp15);
2022-11-23T01:32:37.8013495Z                             auto tmp37 = in_ptr0[tmp18 + (29*tmp36) + (609*i0)];
2022-11-23T01:32:37.8013608Z                             auto tmp38 = in_ptr1[tmp18 + (29*tmp36) + (609*i0)];
2022-11-23T01:32:37.8013705Z                             auto tmp39 = tmp37 == tmp0;
2022-11-23T01:32:37.8013797Z                             auto tmp40 = tmp35 < tmp9;
2022-11-23T01:32:37.8013891Z                             auto tmp41 = tmp13 < tmp11;
2022-11-23T01:32:37.8013972Z                             auto tmp42 = tmp40 & tmp41;
2022-11-23T01:32:37.8014063Z                             auto tmp43 = tmp42 & tmp39;
2022-11-23T01:32:37.8014155Z                             auto tmp44 = tmp34 + tmp38;
2022-11-23T01:32:37.8014259Z                             auto tmp45 = tmp43 ? tmp44 : tmp34;
2022-11-23T01:32:37.8014373Z                             auto tmp46 = in_ptr0[tmp25 + (29*tmp36) + (609*i0)];
2022-11-23T01:32:37.8014489Z                             auto tmp47 = in_ptr1[tmp25 + (29*tmp36) + (609*i0)];
2022-11-23T01:32:37.8014582Z                             auto tmp48 = tmp46 == tmp0;
2022-11-23T01:32:37.8014673Z                             auto tmp49 = tmp40 & tmp30;
2022-11-23T01:32:37.8014755Z                             auto tmp50 = tmp49 & tmp48;
2022-11-23T01:32:37.8014846Z                             auto tmp51 = tmp45 + tmp47;
2022-11-23T01:32:37.8014948Z                             auto tmp52 = tmp50 ? tmp51 : tmp45;
2022-11-23T01:32:37.8015051Z                             out_ptr0[i2 + (56*i1) + (2240*i0)] = tmp52;
2022-11-23T01:32:37.8015121Z                         }
2022-11-23T01:32:37.8015186Z                     }
2022-11-23T01:32:37.8015250Z                 }
2022-11-23T01:32:37.8015300Z             }
2022-11-23T01:32:37.8015390Z         }
2022-11-23T01:32:37.8015451Z     }
2022-11-23T01:32:37.8015509Z }
2022-11-23T01:32:37.8015586Z ''')
2022-11-23T01:32:37.8015592Z 
2022-11-23T01:32:37.8015596Z 
2022-11-23T01:32:37.8015686Z async_compile.wait(globals())
2022-11-23T01:32:37.8015758Z del async_compile
2022-11-23T01:32:37.8015762Z 
2022-11-23T01:32:37.8015819Z def call(args):
2022-11-23T01:32:37.8015900Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.8015970Z     args.clear()
2022-11-23T01:32:37.8016216Z     buf0 = empty_strided((2, 4, 40, 56), (8960, 2240, 56, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8016380Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.8016448Z     del arg0_1
2022-11-23T01:32:37.8016512Z     del arg2_1
2022-11-23T01:32:37.8016570Z     return (buf0, )
2022-11-23T01:32:37.8016586Z 
2022-11-23T01:32:37.8016590Z 
2022-11-23T01:32:37.8016653Z if __name__ == "__main__":
2022-11-23T01:32:37.8016766Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.8016891Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.8017109Z     arg0_1 = rand_strided((2, 4, 21, 29), (2436, 609, 29, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8017327Z     arg1_1 = rand_strided((2, 4, 40, 56), (8960, 2240, 56, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8017538Z     arg2_1 = rand_strided((2, 4, 21, 29), (2436, 609, 29, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.8017660Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.8017665Z 
2022-11-23T01:32:37.8017730Z ok (2.693s)
2022-11-23T01:32:37.8018065Z   test_max_pool2d_with_indices_backward3_cpu (__main__.CpuTests) ... [2022-11-23 01:24:46,220] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.8018337Z [2022-11-23 01:24:46,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.8018557Z [2022-11-23 01:24:46,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.8018810Z [2022-11-23 01:24:46,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.8019097Z [2022-11-23 01:24:46,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.8019420Z [2022-11-23 01:24:46,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.8019747Z [2022-11-23 01:24:46,221] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64429c0, file "inductor/test_torchinductor.py", line 3958> 
2022-11-23T01:32:37.8019847Z  3959           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.8019970Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T01:32:37.8019975Z 
2022-11-23T01:32:37.8020068Z 3960           4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.8020144Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.8020232Z                8 LOAD_CONST               1 (1)
2022-11-23T01:32:37.8020318Z               10 LOAD_CONST               1 (1)
2022-11-23T01:32:37.8020405Z               12 BUILD_LIST               2
2022-11-23T01:32:37.8020493Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:37.8020580Z               16 LOAD_CONST               2 (2)
2022-11-23T01:32:37.8020667Z               18 BUILD_LIST               2
2022-11-23T01:32:37.8020742Z               20 LOAD_CONST               3 (0)
2022-11-23T01:32:37.8020830Z               22 LOAD_CONST               3 (0)
2022-11-23T01:32:37.8020915Z               24 BUILD_LIST               2
2022-11-23T01:32:37.8021000Z               26 LOAD_CONST               1 (1)
2022-11-23T01:32:37.8021088Z               28 LOAD_CONST               1 (1)
2022-11-23T01:32:37.8021172Z               30 BUILD_LIST               2
2022-11-23T01:32:37.8021295Z               32 LOAD_CONST               4 (False)
2022-11-23T01:32:37.8021368Z               34 LOAD_FAST                2 (c)
2022-11-23T01:32:37.8021452Z               36 CALL_METHOD              8
2022-11-23T01:32:37.8021530Z               38 RETURN_VALUE
2022-11-23T01:32:37.8021592Z  
2022-11-23T01:32:37.8021597Z 
2022-11-23T01:32:37.8021870Z [2022-11-23 01:24:46,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3959
2022-11-23T01:32:37.8022117Z [2022-11-23 01:24:46,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.8022467Z [2022-11-23 01:24:46,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8022734Z [2022-11-23 01:24:46,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3960
2022-11-23T01:32:37.8023011Z [2022-11-23 01:24:46,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T01:32:37.8023333Z [2022-11-23 01:24:46,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T01:32:37.8023685Z [2022-11-23 01:24:46,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8024072Z [2022-11-23 01:24:46,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8024589Z [2022-11-23 01:24:46,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8024969Z [2022-11-23 01:24:46,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.8025383Z [2022-11-23 01:24:46,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8025829Z [2022-11-23 01:24:46,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8026230Z [2022-11-23 01:24:46,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.8026667Z [2022-11-23 01:24:46,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8027140Z [2022-11-23 01:24:46,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8027562Z [2022-11-23 01:24:46,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.8028023Z [2022-11-23 01:24:46,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8028524Z [2022-11-23 01:24:46,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8029045Z [2022-11-23 01:24:46,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.8029530Z [2022-11-23 01:24:46,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.8030053Z [2022-11-23 01:24:46,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T01:32:37.8030305Z [2022-11-23 01:24:46,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.8030621Z [2022-11-23 01:24:46,237] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64429c0, file "inductor/test_torchinductor.py", line 3958>
2022-11-23T01:32:37.8030871Z [2022-11-23 01:24:46,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.8031106Z [2022-11-23 01:24:46,237] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.8031360Z [2022-11-23 01:24:46,266] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.8031609Z [2022-11-23 01:24:46,272] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.8031802Z [2022-11-23 01:24:46,272] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.8031937Z  __compiled_fn_314 <eval_with_key>.1961 opcode, name, target, args, kwargs
2022-11-23T01:32:37.8032028Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.8032117Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.8032189Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.8032389Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [1, 1], [2, 2], [0, 0], [1, 1], False, ex_2_), {}
2022-11-23T01:32:37.8032523Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T01:32:37.8032528Z 
2022-11-23T01:32:37.8032805Z [2022-11-23 01:24:46,273] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8032897Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.8032989Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8033086Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.8033178Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.8033241Z               8 RETURN_VALUE
2022-11-23T01:32:37.8033246Z 
2022-11-23T01:32:37.8033308Z  
2022-11-23T01:32:37.8033581Z [2022-11-23 01:24:46,273] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8033689Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_314)
2022-11-23T01:32:37.8033781Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8033868Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8033945Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.8034020Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8034106Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8034179Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.8034263Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8034348Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.8034453Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.8034539Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.8034617Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.8034693Z              24 RETURN_VALUE
2022-11-23T01:32:37.8034699Z 
2022-11-23T01:32:37.8034758Z  
2022-11-23T01:32:37.8034938Z [2022-11-23 01:24:46,274] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.8035009Z  - 
2022-11-23T01:32:37.8035154Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.8035222Z             {
2022-11-23T01:32:37.8035349Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.8035532Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 3'],
2022-11-23T01:32:37.8035650Z                 'obj_weakref': None
2022-11-23T01:32:37.8035872Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.8035937Z             }
2022-11-23T01:32:37.8036004Z             
2022-11-23T01:32:37.8036072Z  - 
2022-11-23T01:32:37.8036193Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.8036243Z             {
2022-11-23T01:32:37.8036382Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8036486Z                 'code': None,
2022-11-23T01:32:37.8036692Z                 'obj_weakref': <weakref at 0x7f7104e60710; to 'Tensor' at 0x7f70f1651e90>
2022-11-23T01:32:37.8036940Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8037002Z             }
2022-11-23T01:32:37.8037064Z             
2022-11-23T01:32:37.8037263Z  - 
2022-11-23T01:32:37.8037439Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.8037503Z             {
2022-11-23T01:32:37.8037649Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8037755Z                 'code': None,
2022-11-23T01:32:37.8037961Z                 'obj_weakref': <weakref at 0x7f7104e60590; to 'Tensor' at 0x7f71c1143a70>
2022-11-23T01:32:37.8038216Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8038267Z             }
2022-11-23T01:32:37.8038329Z             
2022-11-23T01:32:37.8038397Z  - 
2022-11-23T01:32:37.8038518Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.8038581Z             {
2022-11-23T01:32:37.8038725Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8038833Z                 'code': None,
2022-11-23T01:32:37.8039027Z                 'obj_weakref': <weakref at 0x7f70f162afb0; to 'Tensor' at 0x7f70f1651590>
2022-11-23T01:32:37.8039274Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8039338Z             }
2022-11-23T01:32:37.8039402Z             
2022-11-23T01:32:37.8039471Z  - 
2022-11-23T01:32:37.8039602Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.8039667Z             {
2022-11-23T01:32:37.8039787Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.8039953Z                 'code': ['___check_obj_id(model, 140123620619904)'],
2022-11-23T01:32:37.8040070Z                 'obj_weakref': None
2022-11-23T01:32:37.8040297Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.8040360Z             }
2022-11-23T01:32:37.8040423Z             
2022-11-23T01:32:37.8040496Z  - 
2022-11-23T01:32:37.8040603Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.8040664Z             {
2022-11-23T01:32:37.8040796Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.8041011Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.8041127Z                 'obj_weakref': None
2022-11-23T01:32:37.8041342Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.8041470Z             }
2022-11-23T01:32:37.8041520Z             
2022-11-23T01:32:37.8041589Z  - 
2022-11-23T01:32:37.8041720Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.8041784Z             {
2022-11-23T01:32:37.8041902Z                 'guard_types': None,
2022-11-23T01:32:37.8042006Z                 'code': None,
2022-11-23T01:32:37.8042108Z                 'obj_weakref': None
2022-11-23T01:32:37.8042228Z                 'guarded_class': None
2022-11-23T01:32:37.8042339Z             }
2022-11-23T01:32:37.8042402Z             
2022-11-23T01:32:37.8042662Z [2022-11-23 01:24:46,284] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 307
2022-11-23T01:32:37.8043032Z [2022-11-23 01:24:48,853] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3j/c3jq7xinosjgmkflmad545q5qkftrtdkzqeoo7lvzdkaxoiwfh2h.py
2022-11-23T01:32:37.8043294Z [2022-11-23 01:24:48,854] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 307
2022-11-23T01:32:37.8043302Z 
2022-11-23T01:32:37.8043394Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.8043450Z import torch
2022-11-23T01:32:37.8043517Z import random
2022-11-23T01:32:37.8043631Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.8043750Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.8043755Z 
2022-11-23T01:32:37.8043831Z aten = torch.ops.aten
2022-11-23T01:32:37.8043965Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.8044058Z async_compile = AsyncCompile()
2022-11-23T01:32:37.8044063Z 
2022-11-23T01:32:37.8044067Z 
2022-11-23T01:32:37.8044200Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.8044392Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.8044510Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:37.8044615Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.8044716Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.8044777Z {
2022-11-23T01:32:37.8044873Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.8044934Z     {
2022-11-23T01:32:37.8044999Z         #pragma omp for 
2022-11-23T01:32:37.8045079Z         for(long i0=0; i0<8192; i0+=1)
2022-11-23T01:32:37.8045141Z         {
2022-11-23T01:32:37.8045220Z             #pragma GCC ivdep
2022-11-23T01:32:37.8045304Z             for(long i1=0; i1<37; i1+=1)
2022-11-23T01:32:37.8045368Z             {
2022-11-23T01:32:37.8045447Z                 #pragma GCC ivdep
2022-11-23T01:32:37.8045523Z                 for(long i2=0; i2<38; i2+=1)
2022-11-23T01:32:37.8045587Z                 {
2022-11-23T01:32:37.8045652Z                     {
2022-11-23T01:32:37.8045719Z                         {
2022-11-23T01:32:37.8045835Z                             auto tmp0 = static_cast<int>(i2 + (38*i1));
2022-11-23T01:32:37.8045948Z                             auto tmp1 = static_cast<int>(((1 + i1) / 2));
2022-11-23T01:32:37.8046060Z                             auto tmp2 = static_cast<int>(((1 + i2) / 2));
2022-11-23T01:32:37.8046159Z                             auto tmp3 = static_cast<int>(1 + (i1 / 2));
2022-11-23T01:32:37.8046266Z                             auto tmp4 = static_cast<int>(1 + (i2 / 2));
2022-11-23T01:32:37.8046370Z                             auto tmp5 = static_cast<int>(0);
2022-11-23T01:32:37.8046485Z                             auto tmp6 = std::max(tmp1, tmp5);
2022-11-23T01:32:37.8046593Z                             auto tmp7 = std::max(tmp2, tmp5);
2022-11-23T01:32:37.8046696Z                             auto tmp8 = static_cast<int>(19);
2022-11-23T01:32:37.8046799Z                             auto tmp9 = std::min(tmp3, tmp8);
2022-11-23T01:32:37.8046907Z                             auto tmp10 = std::min(tmp4, tmp8);
2022-11-23T01:32:37.8046992Z                             auto tmp11 = tmp6 + tmp5;
2022-11-23T01:32:37.8047083Z                             auto tmp12 = tmp7 + tmp5;
2022-11-23T01:32:37.8047222Z                             auto tmp13 = static_cast<int>(1);
2022-11-23T01:32:37.8047373Z                             auto tmp14 = tmp9 - tmp13;
2022-11-23T01:32:37.8047482Z                             auto tmp15 = std::min(tmp11, tmp14);
2022-11-23T01:32:37.8047630Z                             auto tmp16 = tmp10 - tmp13;
2022-11-23T01:32:37.8047735Z                             auto tmp17 = std::min(tmp12, tmp16);
2022-11-23T01:32:37.8047883Z                             auto tmp18 = in_ptr0[tmp17 + (19*tmp15) + (361*i0)];
2022-11-23T01:32:37.8047989Z                             auto tmp19 = in_ptr1[tmp17 + (19*tmp15) + (361*i0)];
2022-11-23T01:32:37.8048083Z                             auto tmp20 = tmp18 == tmp0;
2022-11-23T01:32:37.8048192Z                             auto tmp21 = static_cast<float>(0.0);
2022-11-23T01:32:37.8048294Z                             auto tmp22 = tmp20 ? tmp19 : tmp21;
2022-11-23T01:32:37.8048397Z                             out_ptr0[i2 + (38*i1) + (1406*i0)] = tmp22;
2022-11-23T01:32:37.8048467Z                         }
2022-11-23T01:32:37.8048534Z                     }
2022-11-23T01:32:37.8048586Z                 }
2022-11-23T01:32:37.8048648Z             }
2022-11-23T01:32:37.8048710Z         }
2022-11-23T01:32:37.8048772Z     }
2022-11-23T01:32:37.8048833Z }
2022-11-23T01:32:37.8048912Z ''')
2022-11-23T01:32:37.8048917Z 
2022-11-23T01:32:37.8048921Z 
2022-11-23T01:32:37.8049012Z async_compile.wait(globals())
2022-11-23T01:32:37.8049074Z del async_compile
2022-11-23T01:32:37.8049097Z 
2022-11-23T01:32:37.8049154Z def call(args):
2022-11-23T01:32:37.8049236Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.8049307Z     args.clear()
2022-11-23T01:32:37.8049532Z     buf0 = empty_strided((32, 256, 37, 38), (359936, 1406, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8049691Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.8049758Z     del arg0_1
2022-11-23T01:32:37.8049825Z     del arg2_1
2022-11-23T01:32:37.8049884Z     return (buf0, )
2022-11-23T01:32:37.8049889Z 
2022-11-23T01:32:37.8049893Z 
2022-11-23T01:32:37.8049967Z if __name__ == "__main__":
2022-11-23T01:32:37.8050079Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.8050199Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.8050423Z     arg0_1 = rand_strided((32, 256, 19, 19), (92416, 361, 19, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8050649Z     arg1_1 = rand_strided((32, 256, 37, 38), (359936, 1406, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8050869Z     arg2_1 = rand_strided((32, 256, 19, 19), (92416, 361, 19, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.8050987Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.8050992Z 
2022-11-23T01:32:37.8051045Z ok (5.636s)
2022-11-23T01:32:37.8051389Z   test_max_pool2d_with_indices_backward4_cpu (__main__.CpuTests) ... [2022-11-23 01:24:51,260] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.8051658Z [2022-11-23 01:24:51,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.8051875Z [2022-11-23 01:24:51,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.8052127Z [2022-11-23 01:24:51,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.8052416Z [2022-11-23 01:24:51,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.8052739Z [2022-11-23 01:24:51,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.8053065Z [2022-11-23 01:24:51,261] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6442b70, file "inductor/test_torchinductor.py", line 3983> 
2022-11-23T01:32:37.8053188Z  3984           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.8053303Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T01:32:37.8053319Z 
2022-11-23T01:32:37.8053395Z 3985           4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.8053483Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.8053570Z                8 LOAD_CONST               1 (5)
2022-11-23T01:32:37.8053687Z               10 LOAD_CONST               1 (5)
2022-11-23T01:32:37.8053774Z               12 BUILD_LIST               2
2022-11-23T01:32:37.8053861Z               14 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8053946Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8054019Z               18 BUILD_LIST               2
2022-11-23T01:32:37.8054103Z               20 LOAD_CONST               3 (2)
2022-11-23T01:32:37.8054187Z               22 LOAD_CONST               3 (2)
2022-11-23T01:32:37.8054271Z               24 BUILD_LIST               2
2022-11-23T01:32:37.8054359Z               26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8054444Z               28 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8054527Z               30 BUILD_LIST               2
2022-11-23T01:32:37.8054605Z               32 LOAD_CONST               4 (False)
2022-11-23T01:32:37.8054687Z               34 LOAD_FAST                2 (c)
2022-11-23T01:32:37.8054773Z               36 CALL_METHOD              8
2022-11-23T01:32:37.8054850Z               38 RETURN_VALUE
2022-11-23T01:32:37.8054912Z  
2022-11-23T01:32:37.8054917Z 
2022-11-23T01:32:37.8055187Z [2022-11-23 01:24:51,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3984
2022-11-23T01:32:37.8055403Z [2022-11-23 01:24:51,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.8055752Z [2022-11-23 01:24:51,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8056007Z [2022-11-23 01:24:51,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3985
2022-11-23T01:32:37.8056299Z [2022-11-23 01:24:51,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T01:32:37.8056620Z [2022-11-23 01:24:51,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T01:32:37.8056968Z [2022-11-23 01:24:51,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8057353Z [2022-11-23 01:24:51,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8057775Z [2022-11-23 01:24:51,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8058147Z [2022-11-23 01:24:51,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.8058557Z [2022-11-23 01:24:51,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8059005Z [2022-11-23 01:24:51,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8059400Z [2022-11-23 01:24:51,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.8059867Z [2022-11-23 01:24:51,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8060370Z [2022-11-23 01:24:51,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8060792Z [2022-11-23 01:24:51,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.8061255Z [2022-11-23 01:24:51,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8061755Z [2022-11-23 01:24:51,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8062209Z [2022-11-23 01:24:51,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.8062695Z [2022-11-23 01:24:51,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.8063216Z [2022-11-23 01:24:51,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T01:32:37.8063451Z [2022-11-23 01:24:51,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.8063778Z [2022-11-23 01:24:51,276] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6442b70, file "inductor/test_torchinductor.py", line 3983>
2022-11-23T01:32:37.8064021Z [2022-11-23 01:24:51,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.8064256Z [2022-11-23 01:24:51,277] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.8064582Z [2022-11-23 01:24:51,278] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.8064834Z [2022-11-23 01:24:51,284] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.8065021Z [2022-11-23 01:24:51,284] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.8065157Z  __compiled_fn_315 <eval_with_key>.1967 opcode, name, target, args, kwargs
2022-11-23T01:32:37.8065247Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.8065324Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.8065410Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.8065610Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [5, 5], [1, 1], [2, 2], [1, 1], False, ex_2_), {}
2022-11-23T01:32:37.8065742Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T01:32:37.8065748Z 
2022-11-23T01:32:37.8066025Z [2022-11-23 01:24:51,285] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8066152Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.8066243Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8066337Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.8066414Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.8066491Z               8 RETURN_VALUE
2022-11-23T01:32:37.8066496Z 
2022-11-23T01:32:37.8066557Z  
2022-11-23T01:32:37.8066862Z [2022-11-23 01:24:51,285] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8066973Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_315)
2022-11-23T01:32:37.8067062Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8067151Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8067226Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.8067300Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8067388Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8067462Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.8067545Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8067629Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.8067703Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.8067793Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.8067871Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.8067950Z              24 RETURN_VALUE
2022-11-23T01:32:37.8067955Z 
2022-11-23T01:32:37.8068016Z  
2022-11-23T01:32:37.8068199Z [2022-11-23 01:24:51,286] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.8068270Z  - 
2022-11-23T01:32:37.8068390Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.8068456Z             {
2022-11-23T01:32:37.8068583Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.8068771Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 3'],
2022-11-23T01:32:37.8068893Z                 'obj_weakref': None
2022-11-23T01:32:37.8069119Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.8069184Z             }
2022-11-23T01:32:37.8069248Z             
2022-11-23T01:32:37.8069318Z  - 
2022-11-23T01:32:37.8069429Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.8069492Z             {
2022-11-23T01:32:37.8069637Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8069744Z                 'code': None,
2022-11-23T01:32:37.8069951Z                 'obj_weakref': <weakref at 0x7f7104e60890; to 'Tensor' at 0x7f70f163bef0>
2022-11-23T01:32:37.8070200Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8070266Z             }
2022-11-23T01:32:37.8070316Z             
2022-11-23T01:32:37.8070385Z  - 
2022-11-23T01:32:37.8070509Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.8070576Z             {
2022-11-23T01:32:37.8070718Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8070826Z                 'code': None,
2022-11-23T01:32:37.8071034Z                 'obj_weakref': <weakref at 0x7f7104e63770; to 'Tensor' at 0x7f710ce1fa10>
2022-11-23T01:32:37.8071271Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8071336Z             }
2022-11-23T01:32:37.8071402Z             
2022-11-23T01:32:37.8071473Z  - 
2022-11-23T01:32:37.8071597Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.8071660Z             {
2022-11-23T01:32:37.8071799Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8071892Z                 'code': None,
2022-11-23T01:32:37.8072098Z                 'obj_weakref': <weakref at 0x7f70f1651830; to 'Tensor' at 0x7f70f163b8f0>
2022-11-23T01:32:37.8072346Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8072444Z             }
2022-11-23T01:32:37.8072510Z             
2022-11-23T01:32:37.8072579Z  - 
2022-11-23T01:32:37.8072713Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.8072764Z             {
2022-11-23T01:32:37.8072899Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.8073073Z                 'code': ['___check_obj_id(model, 140123423403760)'],
2022-11-23T01:32:37.8073219Z                 'obj_weakref': None
2022-11-23T01:32:37.8073447Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.8073513Z             }
2022-11-23T01:32:37.8073577Z             
2022-11-23T01:32:37.8073632Z  - 
2022-11-23T01:32:37.8073755Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.8073820Z             {
2022-11-23T01:32:37.8073952Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.8074166Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.8074286Z                 'obj_weakref': None
2022-11-23T01:32:37.8074505Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.8074555Z             }
2022-11-23T01:32:37.8074619Z             
2022-11-23T01:32:37.8074688Z  - 
2022-11-23T01:32:37.8074819Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.8074881Z             {
2022-11-23T01:32:37.8075002Z                 'guard_types': None,
2022-11-23T01:32:37.8075106Z                 'code': None,
2022-11-23T01:32:37.8075208Z                 'obj_weakref': None
2022-11-23T01:32:37.8075328Z                 'guarded_class': None
2022-11-23T01:32:37.8075392Z             }
2022-11-23T01:32:37.8075453Z             
2022-11-23T01:32:37.8075710Z [2022-11-23 01:24:51,295] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 308
2022-11-23T01:32:37.8075715Z 
2022-11-23T01:32:37.8075810Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.8075878Z import torch
2022-11-23T01:32:37.8075934Z import random
2022-11-23T01:32:37.8076047Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.8076170Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.8076176Z 
2022-11-23T01:32:37.8076253Z aten = torch.ops.aten
2022-11-23T01:32:37.8076385Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.8076477Z async_compile = AsyncCompile()
2022-11-23T01:32:37.8076482Z 
2022-11-23T01:32:37.8076487Z 
2022-11-23T01:32:37.8076618Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.8076823Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.8076928Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:37.8077032Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.8077256Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.8077320Z {
2022-11-23T01:32:37.8077420Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.8077483Z     {
2022-11-23T01:32:37.8077560Z         #pragma omp for 
2022-11-23T01:32:37.8077630Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:37.8077694Z         {
2022-11-23T01:32:37.8077773Z             #pragma GCC ivdep
2022-11-23T01:32:37.8077857Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:37.8077920Z             {
2022-11-23T01:32:37.8078004Z                 #pragma GCC ivdep
2022-11-23T01:32:37.8078093Z                 for(long i2=0; i2<4; i2+=1)
2022-11-23T01:32:37.8078145Z                 {
2022-11-23T01:32:37.8078213Z                     {
2022-11-23T01:32:37.8078282Z                         {
2022-11-23T01:32:37.8078397Z                             auto tmp0 = static_cast<int>(i2 + (4*i1));
2022-11-23T01:32:37.8078570Z                             auto tmp1 = static_cast<int>((-2) + i1);
2022-11-23T01:32:37.8078736Z                             auto tmp2 = static_cast<int>((-2) + i2);
2022-11-23T01:32:37.8078895Z                             auto tmp3 = static_cast<int>(3 + i1);
2022-11-23T01:32:37.8078988Z                             auto tmp4 = static_cast<int>(3 + i2);
2022-11-23T01:32:37.8079093Z                             auto tmp5 = static_cast<int>(0);
2022-11-23T01:32:37.8079207Z                             auto tmp6 = std::max(tmp1, tmp5);
2022-11-23T01:32:37.8079314Z                             auto tmp7 = std::max(tmp2, tmp5);
2022-11-23T01:32:37.8079455Z                             auto tmp8 = static_cast<int>(3);
2022-11-23T01:32:37.8079561Z                             auto tmp9 = std::min(tmp3, tmp8);
2022-11-23T01:32:37.8079663Z                             auto tmp10 = static_cast<int>(4);
2022-11-23T01:32:37.8079773Z                             auto tmp11 = std::min(tmp4, tmp10);
2022-11-23T01:32:37.8079858Z                             auto tmp12 = tmp6 + tmp5;
2022-11-23T01:32:37.8079951Z                             auto tmp13 = tmp7 + tmp5;
2022-11-23T01:32:37.8080057Z                             auto tmp14 = static_cast<int>(1);
2022-11-23T01:32:37.8080205Z                             auto tmp15 = tmp9 - tmp14;
2022-11-23T01:32:37.8080315Z                             auto tmp16 = std::min(tmp12, tmp15);
2022-11-23T01:32:37.8080462Z                             auto tmp17 = tmp11 - tmp14;
2022-11-23T01:32:37.8080568Z                             auto tmp18 = std::min(tmp13, tmp17);
2022-11-23T01:32:37.8080685Z                             auto tmp19 = in_ptr0[tmp18 + (4*tmp16) + (12*i0)];
2022-11-23T01:32:37.8080788Z                             auto tmp20 = in_ptr1[tmp18 + (4*tmp16) + (12*i0)];
2022-11-23T01:32:37.8080884Z                             auto tmp21 = tmp19 == tmp0;
2022-11-23T01:32:37.8080993Z                             auto tmp22 = static_cast<float>(0.0);
2022-11-23T01:32:37.8081094Z                             auto tmp23 = tmp21 ? tmp20 : tmp22;
2022-11-23T01:32:37.8081190Z                             auto tmp24 = tmp7 + tmp14;
2022-11-23T01:32:37.8081299Z                             auto tmp25 = std::min(tmp24, tmp17);
2022-11-23T01:32:37.8081413Z                             auto tmp26 = in_ptr0[tmp25 + (4*tmp16) + (12*i0)];
2022-11-23T01:32:37.8081516Z                             auto tmp27 = in_ptr1[tmp25 + (4*tmp16) + (12*i0)];
2022-11-23T01:32:37.8081611Z                             auto tmp28 = tmp26 == tmp0;
2022-11-23T01:32:37.8081703Z                             auto tmp29 = tmp12 < tmp9;
2022-11-23T01:32:37.8081803Z                             auto tmp30 = tmp24 < tmp11;
2022-11-23T01:32:37.8081895Z                             auto tmp31 = tmp29 & tmp30;
2022-11-23T01:32:37.8081987Z                             auto tmp32 = tmp31 & tmp28;
2022-11-23T01:32:37.8082078Z                             auto tmp33 = tmp23 + tmp27;
2022-11-23T01:32:37.8082181Z                             auto tmp34 = tmp32 ? tmp33 : tmp23;
2022-11-23T01:32:37.8082273Z                             auto tmp35 = static_cast<int>(2);
2022-11-23T01:32:37.8082368Z                             auto tmp36 = tmp7 + tmp35;
2022-11-23T01:32:37.8082476Z                             auto tmp37 = std::min(tmp36, tmp17);
2022-11-23T01:32:37.8082589Z                             auto tmp38 = in_ptr0[tmp37 + (4*tmp16) + (12*i0)];
2022-11-23T01:32:37.8082704Z                             auto tmp39 = in_ptr1[tmp37 + (4*tmp16) + (12*i0)];
2022-11-23T01:32:37.8082798Z                             auto tmp40 = tmp38 == tmp0;
2022-11-23T01:32:37.8082894Z                             auto tmp41 = tmp36 < tmp11;
2022-11-23T01:32:37.8082985Z                             auto tmp42 = tmp29 & tmp41;
2022-11-23T01:32:37.8083066Z                             auto tmp43 = tmp42 & tmp40;
2022-11-23T01:32:37.8083155Z                             auto tmp44 = tmp34 + tmp39;
2022-11-23T01:32:37.8083258Z                             auto tmp45 = tmp43 ? tmp44 : tmp34;
2022-11-23T01:32:37.8083354Z                             auto tmp46 = tmp7 + tmp8;
2022-11-23T01:32:37.8083458Z                             auto tmp47 = std::min(tmp46, tmp17);
2022-11-23T01:32:37.8083607Z                             auto tmp48 = in_ptr0[tmp47 + (4*tmp16) + (12*i0)];
2022-11-23T01:32:37.8083719Z                             auto tmp49 = in_ptr1[tmp47 + (4*tmp16) + (12*i0)];
2022-11-23T01:32:37.8083801Z                             auto tmp50 = tmp48 == tmp0;
2022-11-23T01:32:37.8083893Z                             auto tmp51 = tmp46 < tmp11;
2022-11-23T01:32:37.8083986Z                             auto tmp52 = tmp29 & tmp51;
2022-11-23T01:32:37.8084124Z                             auto tmp53 = tmp52 & tmp50;
2022-11-23T01:32:37.8084217Z                             auto tmp54 = tmp45 + tmp49;
2022-11-23T01:32:37.8084319Z                             auto tmp55 = tmp53 ? tmp54 : tmp45;
2022-11-23T01:32:37.8084413Z                             auto tmp56 = tmp7 + tmp10;
2022-11-23T01:32:37.8084519Z                             auto tmp57 = std::min(tmp56, tmp17);
2022-11-23T01:32:37.8084621Z                             auto tmp58 = in_ptr0[tmp57 + (4*tmp16) + (12*i0)];
2022-11-23T01:32:37.8084735Z                             auto tmp59 = in_ptr1[tmp57 + (4*tmp16) + (12*i0)];
2022-11-23T01:32:37.8084829Z                             auto tmp60 = tmp58 == tmp0;
2022-11-23T01:32:37.8084920Z                             auto tmp61 = tmp56 < tmp11;
2022-11-23T01:32:37.8085012Z                             auto tmp62 = tmp29 & tmp61;
2022-11-23T01:32:37.8085102Z                             auto tmp63 = tmp62 & tmp60;
2022-11-23T01:32:37.8085196Z                             auto tmp64 = tmp55 + tmp59;
2022-11-23T01:32:37.8085285Z                             auto tmp65 = tmp63 ? tmp64 : tmp55;
2022-11-23T01:32:37.8085379Z                             auto tmp66 = tmp6 + tmp14;
2022-11-23T01:32:37.8085485Z                             auto tmp67 = std::min(tmp66, tmp15);
2022-11-23T01:32:37.8085597Z                             auto tmp68 = in_ptr0[tmp18 + (4*tmp67) + (12*i0)];
2022-11-23T01:32:37.8085711Z                             auto tmp69 = in_ptr1[tmp18 + (4*tmp67) + (12*i0)];
2022-11-23T01:32:37.8085806Z                             auto tmp70 = tmp68 == tmp0;
2022-11-23T01:32:37.8085902Z                             auto tmp71 = tmp66 < tmp9;
2022-11-23T01:32:37.8085996Z                             auto tmp72 = tmp13 < tmp11;
2022-11-23T01:32:37.8086076Z                             auto tmp73 = tmp71 & tmp72;
2022-11-23T01:32:37.8086168Z                             auto tmp74 = tmp73 & tmp70;
2022-11-23T01:32:37.8086265Z                             auto tmp75 = tmp65 + tmp69;
2022-11-23T01:32:37.8086369Z                             auto tmp76 = tmp74 ? tmp75 : tmp65;
2022-11-23T01:32:37.8086483Z                             auto tmp77 = in_ptr0[tmp25 + (4*tmp67) + (12*i0)];
2022-11-23T01:32:37.8086596Z                             auto tmp78 = in_ptr1[tmp25 + (4*tmp67) + (12*i0)];
2022-11-23T01:32:37.8086688Z                             auto tmp79 = tmp77 == tmp0;
2022-11-23T01:32:37.8086780Z                             auto tmp80 = tmp71 & tmp30;
2022-11-23T01:32:37.8086863Z                             auto tmp81 = tmp80 & tmp79;
2022-11-23T01:32:37.8086954Z                             auto tmp82 = tmp76 + tmp78;
2022-11-23T01:32:37.8087056Z                             auto tmp83 = tmp81 ? tmp82 : tmp76;
2022-11-23T01:32:37.8087171Z                             auto tmp84 = in_ptr0[tmp37 + (4*tmp67) + (12*i0)];
2022-11-23T01:32:37.8087282Z                             auto tmp85 = in_ptr1[tmp37 + (4*tmp67) + (12*i0)];
2022-11-23T01:32:37.8087377Z                             auto tmp86 = tmp84 == tmp0;
2022-11-23T01:32:37.8087469Z                             auto tmp87 = tmp71 & tmp41;
2022-11-23T01:32:37.8087548Z                             auto tmp88 = tmp87 & tmp86;
2022-11-23T01:32:37.8087639Z                             auto tmp89 = tmp83 + tmp85;
2022-11-23T01:32:37.8087740Z                             auto tmp90 = tmp88 ? tmp89 : tmp83;
2022-11-23T01:32:37.8087852Z                             auto tmp91 = in_ptr0[tmp47 + (4*tmp67) + (12*i0)];
2022-11-23T01:32:37.8088011Z                             auto tmp92 = in_ptr1[tmp47 + (4*tmp67) + (12*i0)];
2022-11-23T01:32:37.8088103Z                             auto tmp93 = tmp91 == tmp0;
2022-11-23T01:32:37.8088194Z                             auto tmp94 = tmp71 & tmp51;
2022-11-23T01:32:37.8088285Z                             auto tmp95 = tmp94 & tmp93;
2022-11-23T01:32:37.8088366Z                             auto tmp96 = tmp90 + tmp92;
2022-11-23T01:32:37.8088497Z                             auto tmp97 = tmp95 ? tmp96 : tmp90;
2022-11-23T01:32:37.8088611Z                             auto tmp98 = in_ptr0[tmp57 + (4*tmp67) + (12*i0)];
2022-11-23T01:32:37.8088727Z                             auto tmp99 = in_ptr1[tmp57 + (4*tmp67) + (12*i0)];
2022-11-23T01:32:37.8088826Z                             auto tmp100 = tmp98 == tmp0;
2022-11-23T01:32:37.8088922Z                             auto tmp101 = tmp71 & tmp61;
2022-11-23T01:32:37.8089021Z                             auto tmp102 = tmp101 & tmp100;
2022-11-23T01:32:37.8089119Z                             auto tmp103 = tmp97 + tmp99;
2022-11-23T01:32:37.8089211Z                             auto tmp104 = tmp102 ? tmp103 : tmp97;
2022-11-23T01:32:37.8089306Z                             auto tmp105 = tmp6 + tmp35;
2022-11-23T01:32:37.8089417Z                             auto tmp106 = std::min(tmp105, tmp15);
2022-11-23T01:32:37.8089535Z                             auto tmp107 = in_ptr0[tmp18 + (4*tmp106) + (12*i0)];
2022-11-23T01:32:37.8089654Z                             auto tmp108 = in_ptr1[tmp18 + (4*tmp106) + (12*i0)];
2022-11-23T01:32:37.8089753Z                             auto tmp109 = tmp107 == tmp0;
2022-11-23T01:32:37.8089848Z                             auto tmp110 = tmp105 < tmp9;
2022-11-23T01:32:37.8089932Z                             auto tmp111 = tmp110 & tmp72;
2022-11-23T01:32:37.8090029Z                             auto tmp112 = tmp111 & tmp109;
2022-11-23T01:32:37.8090124Z                             auto tmp113 = tmp104 + tmp108;
2022-11-23T01:32:37.8090231Z                             auto tmp114 = tmp112 ? tmp113 : tmp104;
2022-11-23T01:32:37.8090351Z                             auto tmp115 = in_ptr0[tmp25 + (4*tmp106) + (12*i0)];
2022-11-23T01:32:37.8090464Z                             auto tmp116 = in_ptr1[tmp25 + (4*tmp106) + (12*i0)];
2022-11-23T01:32:37.8090560Z                             auto tmp117 = tmp115 == tmp0;
2022-11-23T01:32:37.8090655Z                             auto tmp118 = tmp110 & tmp30;
2022-11-23T01:32:37.8090743Z                             auto tmp119 = tmp118 & tmp117;
2022-11-23T01:32:37.8090838Z                             auto tmp120 = tmp114 + tmp116;
2022-11-23T01:32:37.8090944Z                             auto tmp121 = tmp119 ? tmp120 : tmp114;
2022-11-23T01:32:37.8091056Z                             auto tmp122 = in_ptr0[tmp37 + (4*tmp106) + (12*i0)];
2022-11-23T01:32:37.8091171Z                             auto tmp123 = in_ptr1[tmp37 + (4*tmp106) + (12*i0)];
2022-11-23T01:32:37.8091266Z                             auto tmp124 = tmp122 == tmp0;
2022-11-23T01:32:37.8091362Z                             auto tmp125 = tmp110 & tmp41;
2022-11-23T01:32:37.8091457Z                             auto tmp126 = tmp125 & tmp124;
2022-11-23T01:32:37.8091540Z                             auto tmp127 = tmp121 + tmp123;
2022-11-23T01:32:37.8091643Z                             auto tmp128 = tmp126 ? tmp127 : tmp121;
2022-11-23T01:32:37.8091757Z                             auto tmp129 = in_ptr0[tmp47 + (4*tmp106) + (12*i0)];
2022-11-23T01:32:37.8091871Z                             auto tmp130 = in_ptr1[tmp47 + (4*tmp106) + (12*i0)];
2022-11-23T01:32:37.8091965Z                             auto tmp131 = tmp129 == tmp0;
2022-11-23T01:32:37.8092061Z                             auto tmp132 = tmp110 & tmp51;
2022-11-23T01:32:37.8092156Z                             auto tmp133 = tmp132 & tmp131;
2022-11-23T01:32:37.8092239Z                             auto tmp134 = tmp128 + tmp130;
2022-11-23T01:32:37.8092342Z                             auto tmp135 = tmp133 ? tmp134 : tmp128;
2022-11-23T01:32:37.8092484Z                             auto tmp136 = in_ptr0[tmp57 + (4*tmp106) + (12*i0)];
2022-11-23T01:32:37.8092597Z                             auto tmp137 = in_ptr1[tmp57 + (4*tmp106) + (12*i0)];
2022-11-23T01:32:37.8092691Z                             auto tmp138 = tmp136 == tmp0;
2022-11-23T01:32:37.8092786Z                             auto tmp139 = tmp110 & tmp61;
2022-11-23T01:32:37.8092880Z                             auto tmp140 = tmp139 & tmp138;
2022-11-23T01:32:37.8093000Z                             auto tmp141 = tmp135 + tmp137;
2022-11-23T01:32:37.8093092Z                             auto tmp142 = tmp140 ? tmp141 : tmp135;
2022-11-23T01:32:37.8093187Z                             auto tmp143 = tmp6 + tmp8;
2022-11-23T01:32:37.8093296Z                             auto tmp144 = std::min(tmp143, tmp15);
2022-11-23T01:32:37.8093410Z                             auto tmp145 = in_ptr0[tmp18 + (4*tmp144) + (12*i0)];
2022-11-23T01:32:37.8093521Z                             auto tmp146 = in_ptr1[tmp18 + (4*tmp144) + (12*i0)];
2022-11-23T01:32:37.8093617Z                             auto tmp147 = tmp145 == tmp0;
2022-11-23T01:32:37.8093713Z                             auto tmp148 = tmp143 < tmp9;
2022-11-23T01:32:37.8093808Z                             auto tmp149 = tmp148 & tmp72;
2022-11-23T01:32:37.8093890Z                             auto tmp150 = tmp149 & tmp147;
2022-11-23T01:32:37.8093984Z                             auto tmp151 = tmp142 + tmp146;
2022-11-23T01:32:37.8094091Z                             auto tmp152 = tmp150 ? tmp151 : tmp142;
2022-11-23T01:32:37.8094205Z                             auto tmp153 = in_ptr0[tmp25 + (4*tmp144) + (12*i0)];
2022-11-23T01:32:37.8094319Z                             auto tmp154 = in_ptr1[tmp25 + (4*tmp144) + (12*i0)];
2022-11-23T01:32:37.8094415Z                             auto tmp155 = tmp153 == tmp0;
2022-11-23T01:32:37.8094509Z                             auto tmp156 = tmp148 & tmp30;
2022-11-23T01:32:37.8094606Z                             auto tmp157 = tmp156 & tmp155;
2022-11-23T01:32:37.8094688Z                             auto tmp158 = tmp152 + tmp154;
2022-11-23T01:32:37.8094791Z                             auto tmp159 = tmp157 ? tmp158 : tmp152;
2022-11-23T01:32:37.8094905Z                             auto tmp160 = in_ptr0[tmp37 + (4*tmp144) + (12*i0)];
2022-11-23T01:32:37.8095018Z                             auto tmp161 = in_ptr1[tmp37 + (4*tmp144) + (12*i0)];
2022-11-23T01:32:37.8095115Z                             auto tmp162 = tmp160 == tmp0;
2022-11-23T01:32:37.8095214Z                             auto tmp163 = tmp148 & tmp41;
2022-11-23T01:32:37.8095308Z                             auto tmp164 = tmp163 & tmp162;
2022-11-23T01:32:37.8095390Z                             auto tmp165 = tmp159 + tmp161;
2022-11-23T01:32:37.8095495Z                             auto tmp166 = tmp164 ? tmp165 : tmp159;
2022-11-23T01:32:37.8095608Z                             auto tmp167 = in_ptr0[tmp47 + (4*tmp144) + (12*i0)];
2022-11-23T01:32:37.8095723Z                             auto tmp168 = in_ptr1[tmp47 + (4*tmp144) + (12*i0)];
2022-11-23T01:32:37.8095817Z                             auto tmp169 = tmp167 == tmp0;
2022-11-23T01:32:37.8095910Z                             auto tmp170 = tmp148 & tmp51;
2022-11-23T01:32:37.8096006Z                             auto tmp171 = tmp170 & tmp169;
2022-11-23T01:32:37.8096099Z                             auto tmp172 = tmp166 + tmp168;
2022-11-23T01:32:37.8096192Z                             auto tmp173 = tmp171 ? tmp172 : tmp166;
2022-11-23T01:32:37.8096304Z                             auto tmp174 = in_ptr0[tmp57 + (4*tmp144) + (12*i0)];
2022-11-23T01:32:37.8096417Z                             auto tmp175 = in_ptr1[tmp57 + (4*tmp144) + (12*i0)];
2022-11-23T01:32:37.8096510Z                             auto tmp176 = tmp174 == tmp0;
2022-11-23T01:32:37.8096604Z                             auto tmp177 = tmp148 & tmp61;
2022-11-23T01:32:37.8096698Z                             auto tmp178 = tmp177 & tmp176;
2022-11-23T01:32:37.8096819Z                             auto tmp179 = tmp173 + tmp175;
2022-11-23T01:32:37.8096922Z                             auto tmp180 = tmp178 ? tmp179 : tmp173;
2022-11-23T01:32:37.8097006Z                             auto tmp181 = tmp6 + tmp10;
2022-11-23T01:32:37.8097118Z                             auto tmp182 = std::min(tmp181, tmp15);
2022-11-23T01:32:37.8097232Z                             auto tmp183 = in_ptr0[tmp18 + (4*tmp182) + (12*i0)];
2022-11-23T01:32:37.8097405Z                             auto tmp184 = in_ptr1[tmp18 + (4*tmp182) + (12*i0)];
2022-11-23T01:32:37.8097501Z                             auto tmp185 = tmp183 == tmp0;
2022-11-23T01:32:37.8097597Z                             auto tmp186 = tmp181 < tmp9;
2022-11-23T01:32:37.8097694Z                             auto tmp187 = tmp186 & tmp72;
2022-11-23T01:32:37.8097775Z                             auto tmp188 = tmp187 & tmp185;
2022-11-23T01:32:37.8097870Z                             auto tmp189 = tmp180 + tmp184;
2022-11-23T01:32:37.8097976Z                             auto tmp190 = tmp188 ? tmp189 : tmp180;
2022-11-23T01:32:37.8098090Z                             auto tmp191 = in_ptr0[tmp25 + (4*tmp182) + (12*i0)];
2022-11-23T01:32:37.8098206Z                             auto tmp192 = in_ptr1[tmp25 + (4*tmp182) + (12*i0)];
2022-11-23T01:32:37.8098302Z                             auto tmp193 = tmp191 == tmp0;
2022-11-23T01:32:37.8098398Z                             auto tmp194 = tmp186 & tmp30;
2022-11-23T01:32:37.8098497Z                             auto tmp195 = tmp194 & tmp193;
2022-11-23T01:32:37.8098579Z                             auto tmp196 = tmp190 + tmp192;
2022-11-23T01:32:37.8098685Z                             auto tmp197 = tmp195 ? tmp196 : tmp190;
2022-11-23T01:32:37.8098799Z                             auto tmp198 = in_ptr0[tmp37 + (4*tmp182) + (12*i0)];
2022-11-23T01:32:37.8098912Z                             auto tmp199 = in_ptr1[tmp37 + (4*tmp182) + (12*i0)];
2022-11-23T01:32:37.8099009Z                             auto tmp200 = tmp198 == tmp0;
2022-11-23T01:32:37.8099104Z                             auto tmp201 = tmp186 & tmp41;
2022-11-23T01:32:37.8099200Z                             auto tmp202 = tmp201 & tmp200;
2022-11-23T01:32:37.8099295Z                             auto tmp203 = tmp197 + tmp199;
2022-11-23T01:32:37.8099386Z                             auto tmp204 = tmp202 ? tmp203 : tmp197;
2022-11-23T01:32:37.8099501Z                             auto tmp205 = in_ptr0[tmp47 + (4*tmp182) + (12*i0)];
2022-11-23T01:32:37.8099615Z                             auto tmp206 = in_ptr1[tmp47 + (4*tmp182) + (12*i0)];
2022-11-23T01:32:37.8099710Z                             auto tmp207 = tmp205 == tmp0;
2022-11-23T01:32:37.8099807Z                             auto tmp208 = tmp186 & tmp51;
2022-11-23T01:32:37.8099904Z                             auto tmp209 = tmp208 & tmp207;
2022-11-23T01:32:37.8099999Z                             auto tmp210 = tmp204 + tmp206;
2022-11-23T01:32:37.8100090Z                             auto tmp211 = tmp209 ? tmp210 : tmp204;
2022-11-23T01:32:37.8100222Z                             auto tmp212 = in_ptr0[tmp57 + (4*tmp182) + (12*i0)];
2022-11-23T01:32:37.8100335Z                             auto tmp213 = in_ptr1[tmp57 + (4*tmp182) + (12*i0)];
2022-11-23T01:32:37.8100431Z                             auto tmp214 = tmp212 == tmp0;
2022-11-23T01:32:37.8100528Z                             auto tmp215 = tmp186 & tmp61;
2022-11-23T01:32:37.8100626Z                             auto tmp216 = tmp215 & tmp214;
2022-11-23T01:32:37.8100722Z                             auto tmp217 = tmp211 + tmp213;
2022-11-23T01:32:37.8100826Z                             auto tmp218 = tmp216 ? tmp217 : tmp211;
2022-11-23T01:32:37.8100917Z                             out_ptr0[i2 + (4*i1) + (12*i0)] = tmp218;
2022-11-23T01:32:37.8100986Z                         }
2022-11-23T01:32:37.8101059Z                     }
2022-11-23T01:32:37.8101124Z                 }
2022-11-23T01:32:37.8101188Z             }
2022-11-23T01:32:37.8101284Z         }
2022-11-23T01:32:37.8101345Z     }
2022-11-23T01:32:37.8101391Z }
2022-11-23T01:32:37.8101482Z ''')
2022-11-23T01:32:37.8101488Z 
2022-11-23T01:32:37.8101492Z 
2022-11-23T01:32:37.8101584Z async_compile.wait(globals())
2022-11-23T01:32:37.8101657Z del async_compile
2022-11-23T01:32:37.8101662Z 
2022-11-23T01:32:37.8101734Z def call(args):
2022-11-23T01:32:37.8101816Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.8101890Z     args.clear()
2022-11-23T01:32:37.8102124Z     buf0 = empty_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8102290Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.8102358Z     del arg0_1
2022-11-23T01:32:37.8102424Z     del arg2_1
2022-11-23T01:32:37.8102496Z     return (buf0, )
2022-11-23T01:32:37.8102501Z 
2022-11-23T01:32:37.8102505Z 
2022-11-23T01:32:37.8102582Z if __name__ == "__main__":
2022-11-23T01:32:37.8102697Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.8102824Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.8103026Z     arg0_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8103237Z     arg1_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8103447Z     arg2_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.8103575Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.8103952Z [2022-11-23 01:24:54,175] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h4/ch4rmzmt6fgcoqquftpggnyr2avme4comgmdkbz7fmekad7xcb2c.py
2022-11-23T01:32:37.8104217Z [2022-11-23 01:24:54,175] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 308
2022-11-23T01:32:37.8104222Z 
2022-11-23T01:32:37.8104290Z ok (2.931s)
2022-11-23T01:32:37.8104728Z   test_max_pool2d_with_indices_backward5_cpu (__main__.CpuTests) ... [2022-11-23 01:24:54,204] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.8105005Z [2022-11-23 01:24:54,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.8105211Z [2022-11-23 01:24:54,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.8105465Z [2022-11-23 01:24:54,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.8105751Z [2022-11-23 01:24:54,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.8106075Z [2022-11-23 01:24:54,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.8106403Z [2022-11-23 01:24:54,205] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6442db0, file "inductor/test_torchinductor.py", line 4010> 
2022-11-23T01:32:37.8106501Z  4011           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.8106628Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T01:32:37.8106634Z 
2022-11-23T01:32:37.8106728Z 4012           4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.8106817Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.8106898Z                8 LOAD_CONST               1 (13)
2022-11-23T01:32:37.8106990Z               10 LOAD_CONST               1 (13)
2022-11-23T01:32:37.8107077Z               12 BUILD_LIST               2
2022-11-23T01:32:37.8107166Z               14 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8107254Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8107336Z               18 BUILD_LIST               2
2022-11-23T01:32:37.8107421Z               20 LOAD_CONST               3 (2)
2022-11-23T01:32:37.8107494Z               22 LOAD_CONST               3 (2)
2022-11-23T01:32:37.8107618Z               24 BUILD_LIST               2
2022-11-23T01:32:37.8107705Z               26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8107788Z               28 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8107872Z               30 BUILD_LIST               2
2022-11-23T01:32:37.8107962Z               32 LOAD_CONST               4 (False)
2022-11-23T01:32:37.8108051Z               34 LOAD_FAST                2 (c)
2022-11-23T01:32:37.8108164Z               36 CALL_METHOD              8
2022-11-23T01:32:37.8108229Z               38 RETURN_VALUE
2022-11-23T01:32:37.8108290Z  
2022-11-23T01:32:37.8108295Z 
2022-11-23T01:32:37.8108565Z [2022-11-23 01:24:54,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4011
2022-11-23T01:32:37.8108778Z [2022-11-23 01:24:54,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.8109125Z [2022-11-23 01:24:54,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8109394Z [2022-11-23 01:24:54,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4012
2022-11-23T01:32:37.8109684Z [2022-11-23 01:24:54,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T01:32:37.8110002Z [2022-11-23 01:24:54,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T01:32:37.8110349Z [2022-11-23 01:24:54,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8110723Z [2022-11-23 01:24:54,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8111144Z [2022-11-23 01:24:54,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8111517Z [2022-11-23 01:24:54,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.8111929Z [2022-11-23 01:24:54,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8112375Z [2022-11-23 01:24:54,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8112773Z [2022-11-23 01:24:54,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.8113207Z [2022-11-23 01:24:54,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8113681Z [2022-11-23 01:24:54,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8114098Z [2022-11-23 01:24:54,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.8114584Z [2022-11-23 01:24:54,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8115106Z [2022-11-23 01:24:54,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8115561Z [2022-11-23 01:24:54,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.8116047Z [2022-11-23 01:24:54,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.8116575Z [2022-11-23 01:24:54,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T01:32:37.8116823Z [2022-11-23 01:24:54,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.8117275Z [2022-11-23 01:24:54,226] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6442db0, file "inductor/test_torchinductor.py", line 4010>
2022-11-23T01:32:37.8117586Z [2022-11-23 01:24:54,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.8117807Z [2022-11-23 01:24:54,226] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.8118063Z [2022-11-23 01:24:54,228] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.8118314Z [2022-11-23 01:24:54,236] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.8118503Z [2022-11-23 01:24:54,236] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.8118639Z  __compiled_fn_316 <eval_with_key>.1973 opcode, name, target, args, kwargs
2022-11-23T01:32:37.8118730Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.8118816Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.8118901Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.8119088Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [13, 13], [1, 1], [2, 2], [1, 1], False, ex_2_), {}
2022-11-23T01:32:37.8119221Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T01:32:37.8119229Z 
2022-11-23T01:32:37.8119507Z [2022-11-23 01:24:54,237] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8119601Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.8119694Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8119788Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.8119878Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.8119955Z               8 RETURN_VALUE
2022-11-23T01:32:37.8119961Z 
2022-11-23T01:32:37.8120021Z  
2022-11-23T01:32:37.8120281Z [2022-11-23 01:24:54,237] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8120389Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_316)
2022-11-23T01:32:37.8120482Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8120569Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8120645Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.8120790Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8120878Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8120939Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.8121026Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8121113Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.8121187Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.8121332Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.8121426Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.8121501Z              24 RETURN_VALUE
2022-11-23T01:32:37.8121507Z 
2022-11-23T01:32:37.8121556Z  
2022-11-23T01:32:37.8121740Z [2022-11-23 01:24:54,239] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.8121809Z  - 
2022-11-23T01:32:37.8121926Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.8121990Z             {
2022-11-23T01:32:37.8122129Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.8122316Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 3'],
2022-11-23T01:32:37.8122422Z                 'obj_weakref': None
2022-11-23T01:32:37.8122646Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.8122711Z             }
2022-11-23T01:32:37.8122776Z             
2022-11-23T01:32:37.8122846Z  - 
2022-11-23T01:32:37.8122970Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.8123037Z             {
2022-11-23T01:32:37.8123165Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8123270Z                 'code': None,
2022-11-23T01:32:37.8123477Z                 'obj_weakref': <weakref at 0x7f7106c6cb90; to 'Tensor' at 0x7f7104e31ef0>
2022-11-23T01:32:37.8123723Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8123788Z             }
2022-11-23T01:32:37.8123851Z             
2022-11-23T01:32:37.8123921Z  - 
2022-11-23T01:32:37.8124030Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.8124091Z             {
2022-11-23T01:32:37.8124231Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8124336Z                 'code': None,
2022-11-23T01:32:37.8124544Z                 'obj_weakref': <weakref at 0x7f7106d8d3b0; to 'Tensor' at 0x7f710ce1fa10>
2022-11-23T01:32:37.8124790Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8124853Z             }
2022-11-23T01:32:37.8124903Z             
2022-11-23T01:32:37.8124970Z  - 
2022-11-23T01:32:37.8125090Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.8125152Z             {
2022-11-23T01:32:37.8125292Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8125397Z                 'code': None,
2022-11-23T01:32:37.8125600Z                 'obj_weakref': <weakref at 0x7f7106d8d950; to 'Tensor' at 0x7f7104e31d10>
2022-11-23T01:32:37.8125836Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8125897Z             }
2022-11-23T01:32:37.8125962Z             
2022-11-23T01:32:37.8126029Z  - 
2022-11-23T01:32:37.8126158Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.8126221Z             {
2022-11-23T01:32:37.8126353Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.8126510Z                 'code': ['___check_obj_id(model, 140123419076224)'],
2022-11-23T01:32:37.8126626Z                 'obj_weakref': None
2022-11-23T01:32:37.8126850Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.8126912Z             }
2022-11-23T01:32:37.8126975Z             
2022-11-23T01:32:37.8127043Z  - 
2022-11-23T01:32:37.8127162Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.8127212Z             {
2022-11-23T01:32:37.8127343Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.8127589Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.8127705Z                 'obj_weakref': None
2022-11-23T01:32:37.8127922Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.8127985Z             }
2022-11-23T01:32:37.8128047Z             
2022-11-23T01:32:37.8128103Z  - 
2022-11-23T01:32:37.8128262Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.8128326Z             {
2022-11-23T01:32:37.8128445Z                 'guard_types': None,
2022-11-23T01:32:37.8128549Z                 'code': None,
2022-11-23T01:32:37.8128664Z                 'obj_weakref': None
2022-11-23T01:32:37.8128782Z                 'guarded_class': None
2022-11-23T01:32:37.8128831Z             }
2022-11-23T01:32:37.8128893Z             
2022-11-23T01:32:37.8129153Z [2022-11-23 01:24:54,251] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 309
2022-11-23T01:32:37.8129414Z [2022-11-23 01:24:54,260] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.max_pool2d_with_indices_backward
2022-11-23T01:32:37.8129777Z [2022-11-23 01:24:54,265] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fu/cfux5xyoy7kdgjialfvxmlfwnlwio22747wkgi6cmiyqorlc2evs.py
2022-11-23T01:32:37.8130040Z [2022-11-23 01:24:54,265] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 309
2022-11-23T01:32:37.8130047Z 
2022-11-23T01:32:37.8130140Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.8130208Z import torch
2022-11-23T01:32:37.8130265Z import random
2022-11-23T01:32:37.8130379Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.8130498Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.8130503Z 
2022-11-23T01:32:37.8130580Z aten = torch.ops.aten
2022-11-23T01:32:37.8130714Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.8130806Z async_compile = AsyncCompile()
2022-11-23T01:32:37.8130812Z 
2022-11-23T01:32:37.8130816Z 
2022-11-23T01:32:37.8130901Z async_compile.wait(globals())
2022-11-23T01:32:37.8130973Z del async_compile
2022-11-23T01:32:37.8130977Z 
2022-11-23T01:32:37.8131034Z def call(args):
2022-11-23T01:32:37.8131113Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.8131183Z     args.clear()
2022-11-23T01:32:37.8131341Z     buf0 = aten.max_pool2d_with_indices_backward(arg0_1, arg1_1, [13, 13], [1, 1], [2, 2], [1, 1], False, arg2_1)
2022-11-23T01:32:37.8131410Z     del arg0_1
2022-11-23T01:32:37.8131476Z     del arg1_1
2022-11-23T01:32:37.8131539Z     del arg2_1
2022-11-23T01:32:37.8131593Z     buf1 = buf0
2022-11-23T01:32:37.8131702Z     assert_size_stride(buf1, (2, 64, 20, 20), (25600, 400, 20, 1))
2022-11-23T01:32:37.8131767Z     del buf0
2022-11-23T01:32:37.8131838Z     return (buf1, )
2022-11-23T01:32:37.8131843Z 
2022-11-23T01:32:37.8131847Z 
2022-11-23T01:32:37.8131921Z if __name__ == "__main__":
2022-11-23T01:32:37.8132035Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.8132157Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.8132375Z     arg0_1 = rand_strided((2, 64, 12, 12), (9216, 144, 12, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8132582Z     arg1_1 = rand_strided((2, 64, 20, 20), (25600, 400, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8132794Z     arg2_1 = rand_strided((2, 64, 12, 12), (9216, 144, 12, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.8132915Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.8132921Z 
2022-11-23T01:32:37.8132986Z ok (0.113s)
2022-11-23T01:32:37.8133327Z   test_max_pool2d_with_indices_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:24:54,305] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.8133595Z [2022-11-23 01:24:54,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.8133843Z [2022-11-23 01:24:54,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.8134092Z [2022-11-23 01:24:54,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.8134374Z [2022-11-23 01:24:54,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.8134711Z [2022-11-23 01:24:54,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.8135035Z [2022-11-23 01:24:54,306] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6442660, file "inductor/test_torchinductor.py", line 3907> 
2022-11-23T01:32:37.8135128Z  3908           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.8135252Z                2 LOAD_METHOD              1 (max_pool2d_with_indices_backward)
2022-11-23T01:32:37.8135259Z 
2022-11-23T01:32:37.8135348Z 3909           4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.8135437Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.8135525Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:37.8135613Z               10 LOAD_CONST               1 (2)
2022-11-23T01:32:37.8135688Z               12 BUILD_LIST               2
2022-11-23T01:32:37.8135774Z               14 LOAD_CONST               1 (2)
2022-11-23T01:32:37.8135861Z               16 LOAD_CONST               1 (2)
2022-11-23T01:32:37.8135944Z               18 BUILD_LIST               2
2022-11-23T01:32:37.8136030Z               20 LOAD_CONST               2 (0)
2022-11-23T01:32:37.8136113Z               22 LOAD_CONST               2 (0)
2022-11-23T01:32:37.8136198Z               24 BUILD_LIST               2
2022-11-23T01:32:37.8136282Z               26 LOAD_CONST               3 (1)
2022-11-23T01:32:37.8136353Z               28 LOAD_CONST               3 (1)
2022-11-23T01:32:37.8136438Z               30 BUILD_LIST               2
2022-11-23T01:32:37.8136529Z               32 LOAD_CONST               4 (False)
2022-11-23T01:32:37.8136613Z               34 LOAD_FAST                2 (c)
2022-11-23T01:32:37.8136701Z               36 CALL_METHOD              8
2022-11-23T01:32:37.8136776Z               38 RETURN_VALUE
2022-11-23T01:32:37.8136837Z  
2022-11-23T01:32:37.8136842Z 
2022-11-23T01:32:37.8137099Z [2022-11-23 01:24:54,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3908
2022-11-23T01:32:37.8137313Z [2022-11-23 01:24:54,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.8137658Z [2022-11-23 01:24:54,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8137925Z [2022-11-23 01:24:54,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3909
2022-11-23T01:32:37.8138216Z [2022-11-23 01:24:54,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)]
2022-11-23T01:32:37.8138533Z [2022-11-23 01:24:54,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()]
2022-11-23T01:32:37.8138881Z [2022-11-23 01:24:54,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8139266Z [2022-11-23 01:24:54,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8139688Z [2022-11-23 01:24:54,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8140092Z [2022-11-23 01:24:54,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.8140501Z [2022-11-23 01:24:54,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8140975Z [2022-11-23 01:24:54,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8141358Z [2022-11-23 01:24:54,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.8141792Z [2022-11-23 01:24:54,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8142263Z [2022-11-23 01:24:54,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8142683Z [2022-11-23 01:24:54,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.8143141Z [2022-11-23 01:24:54,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8143632Z [2022-11-23 01:24:54,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8144083Z [2022-11-23 01:24:54,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.8144640Z [2022-11-23 01:24:54,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.8145163Z [2022-11-23 01:24:54,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()]
2022-11-23T01:32:37.8145414Z [2022-11-23 01:24:54,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.8145741Z [2022-11-23 01:24:54,326] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6442660, file "inductor/test_torchinductor.py", line 3907>
2022-11-23T01:32:37.8145987Z [2022-11-23 01:24:54,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.8146225Z [2022-11-23 01:24:54,326] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.8146479Z [2022-11-23 01:24:54,328] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.8146727Z [2022-11-23 01:24:54,335] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.8146945Z [2022-11-23 01:24:54,335] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.8147080Z  __compiled_fn_317 <eval_with_key>.1979 opcode, name, target, args, kwargs
2022-11-23T01:32:37.8147171Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.8147259Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.8147344Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.8147573Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [2, 2], [2, 2], [0, 0], [1, 1], False, ex_2_), {}
2022-11-23T01:32:37.8147708Z output, output, output, ((max_pool2d_with_indices_backward,),), {}
2022-11-23T01:32:37.8147714Z 
2022-11-23T01:32:37.8147991Z [2022-11-23 01:24:54,336] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8148072Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.8148163Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8148262Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.8148352Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.8148430Z               8 RETURN_VALUE
2022-11-23T01:32:37.8148436Z 
2022-11-23T01:32:37.8148498Z  
2022-11-23T01:32:37.8148770Z [2022-11-23 01:24:54,336] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8148883Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_317)
2022-11-23T01:32:37.8148960Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8149050Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8149128Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.8149217Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8149306Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8149382Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.8149470Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8149545Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.8149621Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.8149710Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.8149802Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.8149878Z              24 RETURN_VALUE
2022-11-23T01:32:37.8149884Z 
2022-11-23T01:32:37.8149944Z  
2022-11-23T01:32:37.8150125Z [2022-11-23 01:24:54,338] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.8150185Z  - 
2022-11-23T01:32:37.8150305Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.8150371Z             {
2022-11-23T01:32:37.8150515Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.8150703Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 3'],
2022-11-23T01:32:37.8150824Z                 'obj_weakref': None
2022-11-23T01:32:37.8151049Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.8151104Z             }
2022-11-23T01:32:37.8151168Z             
2022-11-23T01:32:37.8151241Z  - 
2022-11-23T01:32:37.8151366Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.8151430Z             {
2022-11-23T01:32:37.8151573Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8151680Z                 'code': None,
2022-11-23T01:32:37.8151876Z                 'obj_weakref': <weakref at 0x7f710623f830; to 'Tensor' at 0x7f70f162af50>
2022-11-23T01:32:37.8152127Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8152192Z             }
2022-11-23T01:32:37.8152256Z             
2022-11-23T01:32:37.8152327Z  - 
2022-11-23T01:32:37.8152449Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.8152513Z             {
2022-11-23T01:32:37.8152641Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8152749Z                 'code': None,
2022-11-23T01:32:37.8152992Z                 'obj_weakref': <weakref at 0x7f710623f530; to 'Tensor' at 0x7f70f163b8f0>
2022-11-23T01:32:37.8153239Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8153308Z             }
2022-11-23T01:32:37.8153373Z             
2022-11-23T01:32:37.8153442Z  - 
2022-11-23T01:32:37.8153551Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.8153611Z             {
2022-11-23T01:32:37.8153784Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8153891Z                 'code': None,
2022-11-23T01:32:37.8154099Z                 'obj_weakref': <weakref at 0x7f710623fb90; to 'Tensor' at 0x7f71c25cd5f0>
2022-11-23T01:32:37.8154348Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8154411Z             }
2022-11-23T01:32:37.8154473Z             
2022-11-23T01:32:37.8154529Z  - 
2022-11-23T01:32:37.8154658Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.8154722Z             {
2022-11-23T01:32:37.8154854Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.8155025Z                 'code': ['___check_obj_id(model, 140125921741856)'],
2022-11-23T01:32:37.8155145Z                 'obj_weakref': None
2022-11-23T01:32:37.8155360Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.8155420Z             }
2022-11-23T01:32:37.8155483Z             
2022-11-23T01:32:37.8155550Z  - 
2022-11-23T01:32:37.8155673Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.8155735Z             {
2022-11-23T01:32:37.8155868Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.8156071Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.8156186Z                 'obj_weakref': None
2022-11-23T01:32:37.8156402Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.8156467Z             }
2022-11-23T01:32:37.8156529Z             
2022-11-23T01:32:37.8156598Z  - 
2022-11-23T01:32:37.8156726Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.8156776Z             {
2022-11-23T01:32:37.8156896Z                 'guard_types': None,
2022-11-23T01:32:37.8156999Z                 'code': None,
2022-11-23T01:32:37.8157242Z                 'obj_weakref': None
2022-11-23T01:32:37.8157371Z                 'guarded_class': None
2022-11-23T01:32:37.8157437Z             }
2022-11-23T01:32:37.8157501Z             
2022-11-23T01:32:37.8157748Z [2022-11-23 01:24:54,349] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 310
2022-11-23T01:32:37.8158115Z [2022-11-23 01:24:56,916] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2i/c2ie3qnj7bvubhw35x5a6nfyknhvhgsrtzzbp4jqkfxdszqitcke.py
2022-11-23T01:32:37.8158379Z [2022-11-23 01:24:56,917] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 310
2022-11-23T01:32:37.8158386Z 
2022-11-23T01:32:37.8158480Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.8158550Z import torch
2022-11-23T01:32:37.8158620Z import random
2022-11-23T01:32:37.8158735Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.8158860Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.8158865Z 
2022-11-23T01:32:37.8158930Z aten = torch.ops.aten
2022-11-23T01:32:37.8159065Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.8159157Z async_compile = AsyncCompile()
2022-11-23T01:32:37.8159162Z 
2022-11-23T01:32:37.8159166Z 
2022-11-23T01:32:37.8159298Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.8159503Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.8159621Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:37.8159726Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.8159880Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.8159928Z {
2022-11-23T01:32:37.8160027Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.8160089Z     {
2022-11-23T01:32:37.8160167Z         #pragma omp for 
2022-11-23T01:32:37.8160250Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.8160313Z         {
2022-11-23T01:32:37.8160396Z             #pragma GCC ivdep
2022-11-23T01:32:37.8160502Z             for(long i1=0; i1<18; i1+=1)
2022-11-23T01:32:37.8160566Z             {
2022-11-23T01:32:37.8160650Z                 #pragma GCC ivdep
2022-11-23T01:32:37.8160741Z                 for(long i2=0; i2<14; i2+=1)
2022-11-23T01:32:37.8160807Z                 {
2022-11-23T01:32:37.8160875Z                     {
2022-11-23T01:32:37.8160943Z                         {
2022-11-23T01:32:37.8161045Z                             auto tmp0 = static_cast<int>(i2 + (14*i1));
2022-11-23T01:32:37.8161153Z                             auto tmp1 = static_cast<int>((i1 / 2));
2022-11-23T01:32:37.8161261Z                             auto tmp2 = static_cast<int>((i2 / 2));
2022-11-23T01:32:37.8161371Z                             auto tmp3 = static_cast<int>(1 + (i1 / 2));
2022-11-23T01:32:37.8161480Z                             auto tmp4 = static_cast<int>(1 + (i2 / 2));
2022-11-23T01:32:37.8161585Z                             auto tmp5 = static_cast<int>(0);
2022-11-23T01:32:37.8161704Z                             auto tmp6 = std::max(tmp1, tmp5);
2022-11-23T01:32:37.8161798Z                             auto tmp7 = std::max(tmp2, tmp5);
2022-11-23T01:32:37.8161901Z                             auto tmp8 = static_cast<int>(9);
2022-11-23T01:32:37.8162002Z                             auto tmp9 = std::min(tmp3, tmp8);
2022-11-23T01:32:37.8162103Z                             auto tmp10 = static_cast<int>(7);
2022-11-23T01:32:37.8162210Z                             auto tmp11 = std::min(tmp4, tmp10);
2022-11-23T01:32:37.8162305Z                             auto tmp12 = tmp6 + tmp5;
2022-11-23T01:32:37.8162400Z                             auto tmp13 = tmp7 + tmp5;
2022-11-23T01:32:37.8162504Z                             auto tmp14 = static_cast<int>(1);
2022-11-23T01:32:37.8162641Z                             auto tmp15 = tmp9 - tmp14;
2022-11-23T01:32:37.8162749Z                             auto tmp16 = std::min(tmp12, tmp15);
2022-11-23T01:32:37.8162896Z                             auto tmp17 = tmp11 - tmp14;
2022-11-23T01:32:37.8163004Z                             auto tmp18 = std::min(tmp13, tmp17);
2022-11-23T01:32:37.8163121Z                             auto tmp19 = in_ptr0[tmp18 + (7*tmp16) + (63*i0)];
2022-11-23T01:32:37.8163237Z                             auto tmp20 = in_ptr1[tmp18 + (7*tmp16) + (63*i0)];
2022-11-23T01:32:37.8163332Z                             auto tmp21 = tmp19 == tmp0;
2022-11-23T01:32:37.8163439Z                             auto tmp22 = static_cast<float>(0.0);
2022-11-23T01:32:37.8163531Z                             auto tmp23 = tmp21 ? tmp20 : tmp22;
2022-11-23T01:32:37.8163635Z                             out_ptr0[i2 + (14*i1) + (252*i0)] = tmp23;
2022-11-23T01:32:37.8163704Z                         }
2022-11-23T01:32:37.8163770Z                     }
2022-11-23T01:32:37.8163834Z                 }
2022-11-23T01:32:37.8163897Z             }
2022-11-23T01:32:37.8163960Z         }
2022-11-23T01:32:37.8164009Z     }
2022-11-23T01:32:37.8164068Z }
2022-11-23T01:32:37.8164146Z ''')
2022-11-23T01:32:37.8164151Z 
2022-11-23T01:32:37.8164157Z 
2022-11-23T01:32:37.8164245Z async_compile.wait(globals())
2022-11-23T01:32:37.8164316Z del async_compile
2022-11-23T01:32:37.8164320Z 
2022-11-23T01:32:37.8164389Z def call(args):
2022-11-23T01:32:37.8164470Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.8164529Z     args.clear()
2022-11-23T01:32:37.8164746Z     buf0 = empty_strided((2, 4, 18, 14), (1008, 252, 14, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8164909Z     kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.8165007Z     del arg0_1
2022-11-23T01:32:37.8165074Z     del arg2_1
2022-11-23T01:32:37.8165144Z     return (buf0, )
2022-11-23T01:32:37.8165148Z 
2022-11-23T01:32:37.8165152Z 
2022-11-23T01:32:37.8165227Z if __name__ == "__main__":
2022-11-23T01:32:37.8165340Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.8165449Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.8165705Z     arg0_1 = rand_strided((2, 4, 9, 7), (252, 63, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8165923Z     arg1_1 = rand_strided((2, 4, 18, 14), (1008, 252, 14, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8166128Z     arg2_1 = rand_strided((2, 4, 9, 7), (252, 63, 7, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.8166248Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.8166253Z 
2022-11-23T01:32:37.8166319Z ok (2.628s)
2022-11-23T01:32:37.8166622Z   test_mean_cpu (__main__.CpuTests) ... [2022-11-23 01:24:56,933] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.8166890Z [2022-11-23 01:24:56,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.8167095Z [2022-11-23 01:24:56,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.8167348Z [2022-11-23 01:24:56,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.8167634Z [2022-11-23 01:24:56,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.8167955Z [2022-11-23 01:24:56,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.8168282Z [2022-11-23 01:24:56,934] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f640fc00, file "inductor/test_torchinductor.py", line 2177> 
2022-11-23T01:32:37.8168377Z  2179           0 LOAD_FAST                0 (x)
2022-11-23T01:32:37.8168472Z                2 LOAD_METHOD              0 (mean)
2022-11-23T01:32:37.8168561Z                4 CALL_METHOD              0
2022-11-23T01:32:37.8168567Z 
2022-11-23T01:32:37.8168657Z 2180           6 LOAD_FAST                0 (x)
2022-11-23T01:32:37.8168737Z                8 LOAD_METHOD              0 (mean)
2022-11-23T01:32:37.8168878Z               10 LOAD_CONST               1 (-1)
2022-11-23T01:32:37.8168966Z               12 CALL_METHOD              1
2022-11-23T01:32:37.8168971Z 
2022-11-23T01:32:37.8169065Z 2181          14 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:37.8169155Z               16 LOAD_ATTR                0 (mean)
2022-11-23T01:32:37.8169242Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:37.8169374Z               20 LOAD_CONST               2 (-2)
2022-11-23T01:32:37.8169462Z               22 LOAD_CONST               3 (True)
2022-11-23T01:32:37.8169601Z               24 LOAD_CONST               4 (('keepdim',))
2022-11-23T01:32:37.8169691Z               26 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.8169696Z 
2022-11-23T01:32:37.8169783Z 2182          28 LOAD_FAST                0 (x)
2022-11-23T01:32:37.8169874Z               30 LOAD_METHOD              0 (mean)
2022-11-23T01:32:37.8169961Z               32 LOAD_CONST               5 (0)
2022-11-23T01:32:37.8170049Z               34 LOAD_CONST               6 (1)
2022-11-23T01:32:37.8170135Z               36 BUILD_LIST               2
2022-11-23T01:32:37.8170209Z               38 CALL_METHOD              1
2022-11-23T01:32:37.8170294Z               40 BUILD_TUPLE              4
2022-11-23T01:32:37.8170369Z               42 RETURN_VALUE
2022-11-23T01:32:37.8170429Z  
2022-11-23T01:32:37.8170434Z 
2022-11-23T01:32:37.8170703Z [2022-11-23 01:24:56,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2179
2022-11-23T01:32:37.8170941Z [2022-11-23 01:24:56,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.8171182Z [2022-11-23 01:24:56,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable()]
2022-11-23T01:32:37.8171461Z [2022-11-23 01:24:56,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), mean)]
2022-11-23T01:32:37.8171751Z [2022-11-23 01:24:56,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2180
2022-11-23T01:32:37.8171977Z [2022-11-23 01:24:56,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:37.8172243Z [2022-11-23 01:24:56,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8172547Z [2022-11-23 01:24:56,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), mean)]
2022-11-23T01:32:37.8172894Z [2022-11-23 01:24:56,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), mean), ConstantVariable(int)]
2022-11-23T01:32:37.8173158Z [2022-11-23 01:24:56,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2181
2022-11-23T01:32:37.8173427Z [2022-11-23 01:24:56,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8173853Z [2022-11-23 01:24:56,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8174227Z [2022-11-23 01:24:56,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8174635Z [2022-11-23 01:24:56,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8175083Z [2022-11-23 01:24:56,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8175582Z [2022-11-23 01:24:56,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:37.8176114Z [2022-11-23 01:24:56,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method mean of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:37.8176381Z [2022-11-23 01:24:56,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2182
2022-11-23T01:32:37.8176661Z [2022-11-23 01:24:56,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8176983Z [2022-11-23 01:24:56,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8177340Z [2022-11-23 01:24:56,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean)]
2022-11-23T01:32:37.8177733Z [2022-11-23 01:24:56,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean), ConstantVariable(int)]
2022-11-23T01:32:37.8178198Z [2022-11-23 01:24:56,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8178580Z [2022-11-23 01:24:56,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean), ListVariable()]
2022-11-23T01:32:37.8178930Z [2022-11-23 01:24:56,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8179175Z [2022-11-23 01:24:56,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.8179505Z [2022-11-23 01:24:56,953] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f640fc00, file "inductor/test_torchinductor.py", line 2177>
2022-11-23T01:32:37.8179749Z [2022-11-23 01:24:56,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.8179982Z [2022-11-23 01:24:56,953] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.8180232Z [2022-11-23 01:24:56,955] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.8180468Z [2022-11-23 01:24:56,966] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.8180656Z [2022-11-23 01:24:56,966] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.8180789Z  __compiled_fn_318 <eval_with_key>.1985 opcode, name, target, args, kwargs
2022-11-23T01:32:37.8180878Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.8180969Z call_method, mean, mean, (ex_0_,), {}
2022-11-23T01:32:37.8181105Z call_method, mean_1, mean, (ex_0_, -1), {}
2022-11-23T01:32:37.8181358Z call_function, mean_2, <built-in method mean of type object at 0x7f71f2abebc0>, (ex_0_, -2), {'keepdim': True}
2022-11-23T01:32:37.8181458Z call_method, mean_3, mean, (ex_0_, [0, 1]), {}
2022-11-23T01:32:37.8181565Z output, output, output, ((mean, mean_1, mean_2, mean_3),), {}
2022-11-23T01:32:37.8181571Z 
2022-11-23T01:32:37.8181846Z [2022-11-23 01:24:56,967] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8181940Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.8182031Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8182121Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.8182209Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.8182285Z               8 RETURN_VALUE
2022-11-23T01:32:37.8182291Z 
2022-11-23T01:32:37.8182339Z  
2022-11-23T01:32:37.8182611Z [2022-11-23 01:24:56,967] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8182718Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_318)
2022-11-23T01:32:37.8182809Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8182898Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8182973Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.8183060Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.8183161Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.8183249Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8183337Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8183412Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.8183512Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8183599Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8183673Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.8183770Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8183845Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:37.8183953Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.8184056Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8184142Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:37.8184219Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.8184304Z              36 BUILD_TUPLE              4
2022-11-23T01:32:37.8184377Z              38 RETURN_VALUE
2022-11-23T01:32:37.8184382Z 
2022-11-23T01:32:37.8184430Z  
2022-11-23T01:32:37.8184730Z [2022-11-23 01:24:56,969] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.8184804Z  - 
2022-11-23T01:32:37.8184924Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.8184990Z             {
2022-11-23T01:32:37.8185130Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.8185318Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.8185423Z                 'obj_weakref': None
2022-11-23T01:32:37.8185649Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.8185716Z             }
2022-11-23T01:32:37.8185781Z             
2022-11-23T01:32:37.8185851Z  - 
2022-11-23T01:32:37.8185974Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.8186039Z             {
2022-11-23T01:32:37.8186169Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8186274Z                 'code': None,
2022-11-23T01:32:37.8186485Z                 'obj_weakref': <weakref at 0x7f7106c44950; to 'Tensor' at 0x7f710ce1fa10>
2022-11-23T01:32:37.8186734Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8186798Z             }
2022-11-23T01:32:37.8186862Z             
2022-11-23T01:32:37.8186931Z  - 
2022-11-23T01:32:37.8187047Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.8187113Z             {
2022-11-23T01:32:37.8187246Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.8187416Z                 'code': ['___check_obj_id(model, 140123422745520)'],
2022-11-23T01:32:37.8187534Z                 'obj_weakref': None
2022-11-23T01:32:37.8187760Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.8187823Z             }
2022-11-23T01:32:37.8187873Z             
2022-11-23T01:32:37.8187940Z  - 
2022-11-23T01:32:37.8188060Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.8188124Z             {
2022-11-23T01:32:37.8188261Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.8188477Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.8188595Z                 'obj_weakref': None
2022-11-23T01:32:37.8188802Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.8188866Z             }
2022-11-23T01:32:37.8188929Z             
2022-11-23T01:32:37.8188999Z  - 
2022-11-23T01:32:37.8189136Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.8189203Z             {
2022-11-23T01:32:37.8189324Z                 'guard_types': None,
2022-11-23T01:32:37.8189417Z                 'code': None,
2022-11-23T01:32:37.8189534Z                 'obj_weakref': None
2022-11-23T01:32:37.8189655Z                 'guarded_class': None
2022-11-23T01:32:37.8189718Z             }
2022-11-23T01:32:37.8189783Z             
2022-11-23T01:32:37.8190042Z [2022-11-23 01:24:56,985] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 311
2022-11-23T01:32:37.8190419Z [2022-11-23 01:24:59,694] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bn/cbnixnadeu5egjrqymrtqq4wqd3wxhxxbfa6kft3cincujpzo3lj.py
2022-11-23T01:32:37.8190687Z [2022-11-23 01:24:59,695] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 311
2022-11-23T01:32:37.8190692Z 
2022-11-23T01:32:37.8190773Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.8190875Z import torch
2022-11-23T01:32:37.8190943Z import random
2022-11-23T01:32:37.8191058Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.8191181Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.8191186Z 
2022-11-23T01:32:37.8191265Z aten = torch.ops.aten
2022-11-23T01:32:37.8191399Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.8191479Z async_compile = AsyncCompile()
2022-11-23T01:32:37.8191498Z 
2022-11-23T01:32:37.8191528Z 
2022-11-23T01:32:37.8191648Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.8191853Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.8191969Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.8192071Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:32:37.8192177Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.8192276Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:37.8192375Z                        float* __restrict__ out_ptr3)
2022-11-23T01:32:37.8192422Z {
2022-11-23T01:32:37.8192508Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T01:32:37.8192590Z     auto out_ptr1 = in_out_ptr1;
2022-11-23T01:32:37.8192653Z     {
2022-11-23T01:32:37.8192844Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:37.8192921Z         float tmp1 = 0;
2022-11-23T01:32:37.8193042Z         auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:32:37.8193147Z         #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.8193199Z         {
2022-11-23T01:32:37.8193306Z             #pragma omp for reduction(+:tmp1_vec) 
2022-11-23T01:32:37.8193387Z             for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.8193452Z             {
2022-11-23T01:32:37.8193589Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.8193672Z                 tmp1_vec += tmp0;
2022-11-23T01:32:37.8193738Z             }
2022-11-23T01:32:37.8193921Z             tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T01:32:37.8194044Z             #pragma omp for simd simdlen(8) reduction(+:tmp1) 
2022-11-23T01:32:37.8194133Z             for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:37.8194196Z             {
2022-11-23T01:32:37.8194291Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.8194366Z                 tmp1 += tmp0;
2022-11-23T01:32:37.8194428Z             }
2022-11-23T01:32:37.8194477Z         }
2022-11-23T01:32:37.8194553Z         out_ptr0[0] = tmp1;
2022-11-23T01:32:37.8194616Z     }
2022-11-23T01:32:37.8194713Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.8194774Z     {
2022-11-23T01:32:37.8194849Z         #pragma omp for 
2022-11-23T01:32:37.8194929Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.8194978Z         {
2022-11-23T01:32:37.8195042Z             {
2022-11-23T01:32:37.8195105Z                 {
2022-11-23T01:32:37.8195184Z                     float tmp1 = 0;
2022-11-23T01:32:37.8195275Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:37.8195341Z                     {
2022-11-23T01:32:37.8195396Z                         {
2022-11-23T01:32:37.8195498Z                             auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:37.8195580Z                             tmp1 += tmp0;
2022-11-23T01:32:37.8195648Z                         }
2022-11-23T01:32:37.8195714Z                     }
2022-11-23T01:32:37.8195797Z                     out_ptr1[i0] = tmp1;
2022-11-23T01:32:37.8195861Z                 }
2022-11-23T01:32:37.8195910Z             }
2022-11-23T01:32:37.8195972Z         }
2022-11-23T01:32:37.8196050Z         #pragma omp single
2022-11-23T01:32:37.8196111Z         {
2022-11-23T01:32:37.8196173Z             {
2022-11-23T01:32:37.8196235Z                 {
2022-11-23T01:32:37.8196328Z                     auto tmp0 = out_ptr0[0];
2022-11-23T01:32:37.8196488Z                     auto tmp1 = static_cast<float>(64);
2022-11-23T01:32:37.8196578Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:37.8196665Z                     in_out_ptr0[0] = tmp2;
2022-11-23T01:32:37.8196728Z                 }
2022-11-23T01:32:37.8196791Z             }
2022-11-23T01:32:37.8196853Z         }
2022-11-23T01:32:37.8196929Z         #pragma omp for 
2022-11-23T01:32:37.8197024Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.8197087Z         {
2022-11-23T01:32:37.8197300Z             {
2022-11-23T01:32:37.8197396Z                 {
2022-11-23T01:32:37.8197503Z                     auto tmp0 = out_ptr1[i0];
2022-11-23T01:32:37.8197607Z                     auto tmp1 = static_cast<float>(8);
2022-11-23T01:32:37.8197685Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:37.8197774Z                     in_out_ptr1[i0] = tmp2;
2022-11-23T01:32:37.8197838Z                 }
2022-11-23T01:32:37.8197904Z             }
2022-11-23T01:32:37.8197968Z         }
2022-11-23T01:32:37.8198057Z         #pragma omp for  collapse(2)
2022-11-23T01:32:37.8198138Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:37.8198186Z         {
2022-11-23T01:32:37.8198268Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:37.8198331Z             {
2022-11-23T01:32:37.8198393Z                 {
2022-11-23T01:32:37.8198458Z                     {
2022-11-23T01:32:37.8198562Z                         auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:32:37.8198665Z                         auto tmp1 = in_ptr0[8 + i1 + (32*i0)];
2022-11-23T01:32:37.8198755Z                         auto tmp3 = in_ptr0[16 + i1 + (32*i0)];
2022-11-23T01:32:37.8198855Z                         auto tmp5 = in_ptr0[24 + i1 + (32*i0)];
2022-11-23T01:32:37.8198947Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.8199040Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:37.8199132Z                         auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:37.8199241Z                         auto tmp7 = static_cast<float>(4);
2022-11-23T01:32:37.8199331Z                         auto tmp8 = tmp6 / tmp7;
2022-11-23T01:32:37.8199414Z                         out_ptr2[i1 + (8*i0)] = tmp8;
2022-11-23T01:32:37.8199479Z                     }
2022-11-23T01:32:37.8199543Z                 }
2022-11-23T01:32:37.8199605Z             }
2022-11-23T01:32:37.8199665Z         }
2022-11-23T01:32:37.8199741Z         #pragma omp for 
2022-11-23T01:32:37.8199823Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:37.8199873Z         {
2022-11-23T01:32:37.8200006Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.8200141Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 32 + (16*i0));
2022-11-23T01:32:37.8200226Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.8200357Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:37.8200440Z             auto tmp4 = tmp2 / tmp3;
2022-11-23T01:32:37.8200535Z             tmp4.store(out_ptr3 + 16*i0);
2022-11-23T01:32:37.8200597Z         }
2022-11-23T01:32:37.8200679Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.8200760Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:32:37.8200821Z         {
2022-11-23T01:32:37.8200904Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.8200989Z             auto tmp1 = in_ptr0[32 + i0];
2022-11-23T01:32:37.8201087Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.8201173Z             auto tmp3 = static_cast<float>(2);
2022-11-23T01:32:37.8201253Z             auto tmp4 = tmp2 / tmp3;
2022-11-23T01:32:37.8201331Z             out_ptr3[i0] = tmp4;
2022-11-23T01:32:37.8201392Z         }
2022-11-23T01:32:37.8201454Z     }
2022-11-23T01:32:37.8201513Z }
2022-11-23T01:32:37.8201600Z ''')
2022-11-23T01:32:37.8201605Z 
2022-11-23T01:32:37.8201609Z 
2022-11-23T01:32:37.8201698Z async_compile.wait(globals())
2022-11-23T01:32:37.8201756Z del async_compile
2022-11-23T01:32:37.8201824Z 
2022-11-23T01:32:37.8201895Z def call(args):
2022-11-23T01:32:37.8201965Z     arg0_1, = args
2022-11-23T01:32:37.8202036Z     args.clear()
2022-11-23T01:32:37.8202229Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8202431Z     buf1 = empty_strided((1, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8202517Z     buf2 = buf0; del buf0  # reuse
2022-11-23T01:32:37.8202585Z     buf3 = buf1; del buf1  # reuse
2022-11-23T01:32:37.8202842Z     buf4 = empty_strided((1, 2, 1, 8), (16, 8, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8203036Z     buf5 = empty_strided((4, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8203250Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()))
2022-11-23T01:32:37.8203320Z     del arg0_1
2022-11-23T01:32:37.8203408Z     return (buf2, buf3, buf4, buf5, )
2022-11-23T01:32:37.8203415Z 
2022-11-23T01:32:37.8203419Z 
2022-11-23T01:32:37.8203517Z if __name__ == "__main__":
2022-11-23T01:32:37.8203631Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.8203740Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.8203948Z     arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8204053Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.8204057Z 
2022-11-23T01:32:37.8204125Z ok (2.779s)
2022-11-23T01:32:37.8204446Z   test_min_max_reduction_cpu (__main__.CpuTests) ... [2022-11-23 01:24:59,712] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.8204716Z [2022-11-23 01:24:59,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.8204931Z [2022-11-23 01:24:59,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.8205184Z [2022-11-23 01:24:59,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.8205469Z [2022-11-23 01:24:59,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.8205777Z [2022-11-23 01:24:59,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.8206101Z [2022-11-23 01:24:59,714] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f646cc00, file "inductor/test_torchinductor.py", line 851> 
2022-11-23T01:32:37.8206191Z  852           0 LOAD_FAST                0 (a)
2022-11-23T01:32:37.8206280Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:37.8206353Z               4 BINARY_ADD
2022-11-23T01:32:37.8206446Z               6 LOAD_METHOD              0 (max)
2022-11-23T01:32:37.8206532Z               8 CALL_METHOD              0
2022-11-23T01:32:37.8206621Z              10 LOAD_FAST                0 (a)
2022-11-23T01:32:37.8206696Z              12 LOAD_FAST                1 (b)
2022-11-23T01:32:37.8206767Z              14 BINARY_ADD
2022-11-23T01:32:37.8206860Z              16 LOAD_METHOD              1 (min)
2022-11-23T01:32:37.8206946Z              18 CALL_METHOD              0
2022-11-23T01:32:37.8207041Z              20 LOAD_GLOBAL              2 (torch)
2022-11-23T01:32:37.8207130Z              22 LOAD_ATTR                3 (amax)
2022-11-23T01:32:37.8207219Z              24 LOAD_FAST                0 (a)
2022-11-23T01:32:37.8207294Z              26 LOAD_CONST               1 (1)
2022-11-23T01:32:37.8207365Z              28 BINARY_ADD
2022-11-23T01:32:37.8207454Z              30 LOAD_CONST               2 (True)
2022-11-23T01:32:37.8207605Z              32 LOAD_CONST               3 (('keepdim',))
2022-11-23T01:32:37.8207693Z              34 CALL_FUNCTION_KW         2
2022-11-23T01:32:37.8207779Z              36 BUILD_TUPLE              3
2022-11-23T01:32:37.8207886Z              38 RETURN_VALUE
2022-11-23T01:32:37.8207934Z  
2022-11-23T01:32:37.8207939Z 
2022-11-23T01:32:37.8208210Z [2022-11-23 01:24:59,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:852
2022-11-23T01:32:37.8208417Z [2022-11-23 01:24:59,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.8208700Z [2022-11-23 01:24:59,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:37.8208972Z [2022-11-23 01:24:59,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8209209Z [2022-11-23 01:24:59,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()]
2022-11-23T01:32:37.8209486Z [2022-11-23 01:24:59,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:32:37.8209718Z [2022-11-23 01:24:59,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:37.8209980Z [2022-11-23 01:24:59,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8210265Z [2022-11-23 01:24:59,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8210531Z [2022-11-23 01:24:59,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8210836Z [2022-11-23 01:24:59,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:32:37.8211106Z [2022-11-23 01:24:59,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8211527Z [2022-11-23 01:24:59,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8211902Z [2022-11-23 01:24:59,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8212312Z [2022-11-23 01:24:59,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8212768Z [2022-11-23 01:24:59,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8213175Z [2022-11-23 01:24:59,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8213636Z [2022-11-23 01:24:59,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:37.8214133Z [2022-11-23 01:24:59,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:37.8214427Z [2022-11-23 01:24:59,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8214671Z [2022-11-23 01:24:59,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.8214997Z [2022-11-23 01:24:59,734] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f646cc00, file "inductor/test_torchinductor.py", line 851>
2022-11-23T01:32:37.8215261Z [2022-11-23 01:24:59,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.8215497Z [2022-11-23 01:24:59,734] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.8215749Z [2022-11-23 01:24:59,737] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.8216026Z [2022-11-23 01:24:59,749] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.8216215Z [2022-11-23 01:24:59,749] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.8216347Z  __compiled_fn_319 <eval_with_key>.1991 opcode, name, target, args, kwargs
2022-11-23T01:32:37.8216436Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.8216521Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.8216687Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.8216777Z call_method, max_1, max, (add,), {}
2022-11-23T01:32:37.8216955Z call_function, add_1, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.8217043Z call_method, min_1, min, (add_1,), {}
2022-11-23T01:32:37.8217217Z call_function, add_2, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.8217462Z call_function, amax, <built-in method amax of type object at 0x7f71f2abebc0>, (add_2,), {'keepdim': True}
2022-11-23T01:32:37.8217574Z output, output, output, ((max_1, min_1, amax),), {}
2022-11-23T01:32:37.8217580Z 
2022-11-23T01:32:37.8217855Z [2022-11-23 01:24:59,750] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8217935Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.8218023Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8218112Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.8218203Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.8218279Z               8 RETURN_VALUE
2022-11-23T01:32:37.8218284Z 
2022-11-23T01:32:37.8218347Z  
2022-11-23T01:32:37.8218618Z [2022-11-23 01:24:59,750] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8218724Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_319)
2022-11-23T01:32:37.8218801Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8218891Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8218967Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.8219055Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8219141Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8219216Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.8219303Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.8219394Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.8219495Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8219583Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8219658Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.8219758Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8219844Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8219918Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.8220005Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8220091Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:37.8220167Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.8220256Z              36 BUILD_TUPLE              3
2022-11-23T01:32:37.8220330Z              38 RETURN_VALUE
2022-11-23T01:32:37.8220335Z 
2022-11-23T01:32:37.8220394Z  
2022-11-23T01:32:37.8220574Z [2022-11-23 01:24:59,752] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.8220630Z  - 
2022-11-23T01:32:37.8220746Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.8220843Z             {
2022-11-23T01:32:37.8220982Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.8221166Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.8221283Z                 'obj_weakref': None
2022-11-23T01:32:37.8221505Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.8221557Z             }
2022-11-23T01:32:37.8221649Z             
2022-11-23T01:32:37.8221718Z  - 
2022-11-23T01:32:37.8221841Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.8221903Z             {
2022-11-23T01:32:37.8222042Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8222146Z                 'code': None,
2022-11-23T01:32:37.8222343Z                 'obj_weakref': <weakref at 0x7f70f2d95bf0; to 'Tensor' at 0x7f7106938050>
2022-11-23T01:32:37.8222590Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8222654Z             }
2022-11-23T01:32:37.8222717Z             
2022-11-23T01:32:37.8222787Z  - 
2022-11-23T01:32:37.8222906Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.8223024Z             {
2022-11-23T01:32:37.8223150Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8223254Z                 'code': None,
2022-11-23T01:32:37.8223461Z                 'obj_weakref': <weakref at 0x7f710623fb90; to 'Tensor' at 0x7f71062ac530>
2022-11-23T01:32:37.8223709Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8223773Z             }
2022-11-23T01:32:37.8223835Z             
2022-11-23T01:32:37.8223902Z  - 
2022-11-23T01:32:37.8224019Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.8224080Z             {
2022-11-23T01:32:37.8224213Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.8224381Z                 'code': ['___check_obj_id(model, 140126774954464)'],
2022-11-23T01:32:37.8224570Z                 'obj_weakref': None
2022-11-23T01:32:37.8224803Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.8224868Z             }
2022-11-23T01:32:37.8224919Z             
2022-11-23T01:32:37.8224988Z  - 
2022-11-23T01:32:37.8225109Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.8225175Z             {
2022-11-23T01:32:37.8225312Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.8225528Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.8225646Z                 'obj_weakref': None
2022-11-23T01:32:37.8225848Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.8225912Z             }
2022-11-23T01:32:37.8225974Z             
2022-11-23T01:32:37.8226044Z  - 
2022-11-23T01:32:37.8226177Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.8226244Z             {
2022-11-23T01:32:37.8226363Z                 'guard_types': None,
2022-11-23T01:32:37.8226456Z                 'code': None,
2022-11-23T01:32:37.8226575Z                 'obj_weakref': None
2022-11-23T01:32:37.8226695Z                 'guarded_class': None
2022-11-23T01:32:37.8226760Z             }
2022-11-23T01:32:37.8226825Z             
2022-11-23T01:32:37.8227090Z [2022-11-23 01:24:59,772] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 312
2022-11-23T01:32:37.8227460Z [2022-11-23 01:25:02,446] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/34/c34dhtoaisxzw7k5rjqa7mtbwh7qbqmzqairqa23zbd76pdomblk.py
2022-11-23T01:32:37.8227724Z [2022-11-23 01:25:02,447] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 312
2022-11-23T01:32:37.8227730Z 
2022-11-23T01:32:37.8227810Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.8227880Z import torch
2022-11-23T01:32:37.8227994Z import random
2022-11-23T01:32:37.8228110Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.8228231Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.8228237Z 
2022-11-23T01:32:37.8228316Z aten = torch.ops.aten
2022-11-23T01:32:37.8228451Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.8228529Z async_compile = AsyncCompile()
2022-11-23T01:32:37.8228548Z 
2022-11-23T01:32:37.8228552Z 
2022-11-23T01:32:37.8228702Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.8228910Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.8229031Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.8229136Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.8229238Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.8229335Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.8229434Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:37.8229484Z {
2022-11-23T01:32:37.8229547Z     {
2022-11-23T01:32:37.8229922Z         #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2022-11-23T01:32:37.8230143Z         float tmp3 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.8230264Z         auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T01:32:37.8230507Z         #pragma omp declare reduction(min:at::vec::Vectorized<float>:omp_out = at::vec::minimum(omp_out, omp_in)) initializer(omp_priv={{std::numeric_limits<float>::infinity()}})
2022-11-23T01:32:37.8230628Z         float tmp4 = std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.8230743Z         auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2022-11-23T01:32:37.8230935Z         float tmp7 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.8231048Z         auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T01:32:37.8231139Z         #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.8231204Z         {
2022-11-23T01:32:37.8231369Z             #pragma omp for reduction(max:tmp3_vec) reduction(min:tmp4_vec) reduction(max:tmp7_vec) 
2022-11-23T01:32:37.8231456Z             for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.8231521Z             {
2022-11-23T01:32:37.8231659Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.8231794Z                 auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:37.8231870Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.8232004Z                 auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.8232090Z                 auto tmp6 = tmp0 + tmp5;
2022-11-23T01:32:37.8232207Z                 tmp3_vec = at::vec::maximum(tmp3_vec, tmp2);
2022-11-23T01:32:37.8232318Z                 tmp4_vec = at::vec::minimum(tmp4_vec, tmp2);
2022-11-23T01:32:37.8232430Z                 tmp7_vec = at::vec::maximum(tmp7_vec, tmp6);
2022-11-23T01:32:37.8232495Z             }
2022-11-23T01:32:37.8238136Z             tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp3_vec);
2022-11-23T01:32:37.8238391Z             tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::minimum(x, y);}, tmp4_vec);
2022-11-23T01:32:37.8238604Z             tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp7_vec);
2022-11-23T01:32:37.8238762Z             #pragma omp for simd simdlen(8) reduction(max:tmp3) reduction(min:tmp4) reduction(max:tmp7) 
2022-11-23T01:32:37.8238850Z             for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:37.8238917Z             {
2022-11-23T01:32:37.8239104Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.8239192Z                 auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:37.8239279Z                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.8239383Z                 auto tmp5 = static_cast<float>(1);
2022-11-23T01:32:37.8239457Z                 auto tmp6 = tmp0 + tmp5;
2022-11-23T01:32:37.8239555Z                 tmp3 = std::max(tmp3, tmp2);
2022-11-23T01:32:37.8239649Z                 tmp4 = std::min(tmp4, tmp2);
2022-11-23T01:32:37.8239787Z                 tmp7 = std::max(tmp7, tmp6);
2022-11-23T01:32:37.8239854Z             }
2022-11-23T01:32:37.8239916Z         }
2022-11-23T01:32:37.8239992Z         out_ptr0[0] = tmp3;
2022-11-23T01:32:37.8240055Z         out_ptr1[0] = tmp4;
2022-11-23T01:32:37.8240127Z         out_ptr2[0] = tmp7;
2022-11-23T01:32:37.8240188Z     }
2022-11-23T01:32:37.8240249Z }
2022-11-23T01:32:37.8240352Z ''')
2022-11-23T01:32:37.8240358Z 
2022-11-23T01:32:37.8240362Z 
2022-11-23T01:32:37.8240453Z async_compile.wait(globals())
2022-11-23T01:32:37.8240527Z del async_compile
2022-11-23T01:32:37.8240532Z 
2022-11-23T01:32:37.8240589Z def call(args):
2022-11-23T01:32:37.8240663Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.8240733Z     args.clear()
2022-11-23T01:32:37.8240920Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8241102Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8241297Z     buf2 = empty_strided((1, 1), (1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8241510Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:37.8241579Z     del arg0_1
2022-11-23T01:32:37.8241632Z     del arg1_1
2022-11-23T01:32:37.8241715Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:37.8241720Z 
2022-11-23T01:32:37.8241724Z 
2022-11-23T01:32:37.8241801Z if __name__ == "__main__":
2022-11-23T01:32:37.8241918Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.8242043Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.8242238Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8242428Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8242542Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.8242548Z 
2022-11-23T01:32:37.8242602Z ok (2.750s)
2022-11-23T01:32:37.8242947Z   test_misaligned_address_issue1_cpu (__main__.CpuTests) ... [2022-11-23 01:25:02,463] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.8243219Z [2022-11-23 01:25:02,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.8243435Z [2022-11-23 01:25:02,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.8243688Z [2022-11-23 01:25:02,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.8243980Z [2022-11-23 01:25:02,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.8244303Z [2022-11-23 01:25:02,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.8244642Z [2022-11-23 01:25:02,464] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f63ca8a0, file "inductor/test_torchinductor.py", line 4452> 
2022-11-23T01:32:37.8244736Z  4453           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.8244815Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:37.8244905Z                4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:37.8244996Z                6 LOAD_ATTR                3 (gather)
2022-11-23T01:32:37.8245089Z                8 LOAD_METHOD              4 (default)
2022-11-23T01:32:37.8245125Z 
2022-11-23T01:32:37.8245226Z 4454          10 LOAD_FAST                0 (sub_tensor_1)
2022-11-23T01:32:37.8245314Z               12 LOAD_CONST               1 (1)
2022-11-23T01:32:37.8245419Z               14 LOAD_FAST                1 (unsqueeze_default)
2022-11-23T01:32:37.8245507Z               16 CALL_METHOD              3
2022-11-23T01:32:37.8245599Z               18 STORE_FAST               2 (gather_default)
2022-11-23T01:32:37.8245604Z 
2022-11-23T01:32:37.8245731Z 4456          20 LOAD_FAST                2 (gather_default)
2022-11-23T01:32:37.8245807Z               22 RETURN_VALUE
2022-11-23T01:32:37.8245867Z  
2022-11-23T01:32:37.8245872Z 
2022-11-23T01:32:37.8246142Z [2022-11-23 01:25:02,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4453
2022-11-23T01:32:37.8246361Z [2022-11-23 01:25:02,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.8246727Z [2022-11-23 01:25:02,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8247022Z [2022-11-23 01:25:02,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:37.8247327Z [2022-11-23 01:25:02,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8247579Z [2022-11-23 01:25:02,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.gather)]
2022-11-23T01:32:37.8247845Z [2022-11-23 01:25:02,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4454
2022-11-23T01:32:37.8248128Z [2022-11-23 01:25:02,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sub_tensor_1 [TorchVariable(aten.gather.default)]
2022-11-23T01:32:37.8248423Z [2022-11-23 01:25:02,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.gather.default), TensorVariable()]
2022-11-23T01:32:37.8248782Z [2022-11-23 01:25:02,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST unsqueeze_default [TorchVariable(aten.gather.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8249149Z [2022-11-23 01:25:02,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.gather.default), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.8249411Z [2022-11-23 01:25:02,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST gather_default [TensorVariable()]
2022-11-23T01:32:37.8249672Z [2022-11-23 01:25:02,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4456
2022-11-23T01:32:37.8249901Z [2022-11-23 01:25:02,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST gather_default []
2022-11-23T01:32:37.8250145Z [2022-11-23 01:25:02,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.8250473Z [2022-11-23 01:25:02,480] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f63ca8a0, file "inductor/test_torchinductor.py", line 4452>
2022-11-23T01:32:37.8250717Z [2022-11-23 01:25:02,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.8250949Z [2022-11-23 01:25:02,480] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.8251202Z [2022-11-23 01:25:02,482] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.8251452Z [2022-11-23 01:25:02,488] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.8251636Z [2022-11-23 01:25:02,489] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.8251767Z  __compiled_fn_320 <eval_with_key>.1997 opcode, name, target, args, kwargs
2022-11-23T01:32:37.8251888Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.8251974Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.8252104Z call_function, gather_default, aten.gather.default, (ex_0_, 1, ex_1_), {}
2022-11-23T01:32:37.8252214Z output, output, output, ((gather_default,),), {}
2022-11-23T01:32:37.8252219Z 
2022-11-23T01:32:37.8252495Z [2022-11-23 01:25:02,489] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8252626Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.8252718Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8252809Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.8252901Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.8252977Z               8 RETURN_VALUE
2022-11-23T01:32:37.8252982Z 
2022-11-23T01:32:37.8253029Z  
2022-11-23T01:32:37.8253301Z [2022-11-23 01:25:02,489] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8253412Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_320)
2022-11-23T01:32:37.8253501Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8253594Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8253670Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.8253757Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8253832Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8253907Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.8253994Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.8254082Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.8254158Z              18 RETURN_VALUE
2022-11-23T01:32:37.8254163Z 
2022-11-23T01:32:37.8254222Z  
2022-11-23T01:32:37.8254404Z [2022-11-23 01:25:02,491] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.8254460Z  - 
2022-11-23T01:32:37.8254577Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.8254642Z             {
2022-11-23T01:32:37.8254783Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.8254965Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.8255086Z                 'obj_weakref': None
2022-11-23T01:32:37.8255309Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.8255372Z             }
2022-11-23T01:32:37.8255422Z             
2022-11-23T01:32:37.8255492Z  - 
2022-11-23T01:32:37.8255613Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.8255676Z             {
2022-11-23T01:32:37.8255817Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8255922Z                 'code': None,
2022-11-23T01:32:37.8256116Z                 'obj_weakref': <weakref at 0x7f71ce002f50; to 'Tensor' at 0x7f71069fea10>
2022-11-23T01:32:37.8256361Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8256426Z             }
2022-11-23T01:32:37.8256489Z             
2022-11-23T01:32:37.8256556Z  - 
2022-11-23T01:32:37.8256678Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.8256739Z             {
2022-11-23T01:32:37.8256868Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8256974Z                 'code': None,
2022-11-23T01:32:37.8257183Z                 'obj_weakref': <weakref at 0x7f7106e52bf0; to 'Tensor' at 0x7f70f162a410>
2022-11-23T01:32:37.8257431Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8257492Z             }
2022-11-23T01:32:37.8257555Z             
2022-11-23T01:32:37.8257621Z  - 
2022-11-23T01:32:37.8257738Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.8257803Z             {
2022-11-23T01:32:37.8257936Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.8258103Z                 'code': ['___check_obj_id(model, 140123423403760)'],
2022-11-23T01:32:37.8258251Z                 'obj_weakref': None
2022-11-23T01:32:37.8258478Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.8258540Z             }
2022-11-23T01:32:37.8258603Z             
2022-11-23T01:32:37.8258658Z  - 
2022-11-23T01:32:37.8258777Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.8258839Z             {
2022-11-23T01:32:37.8258973Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.8259235Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.8259352Z                 'obj_weakref': None
2022-11-23T01:32:37.8259571Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.8259621Z             }
2022-11-23T01:32:37.8259681Z             
2022-11-23T01:32:37.8259747Z  - 
2022-11-23T01:32:37.8259879Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.8259943Z             {
2022-11-23T01:32:37.8260064Z                 'guard_types': None,
2022-11-23T01:32:37.8260157Z                 'code': None,
2022-11-23T01:32:37.8260270Z                 'obj_weakref': None
2022-11-23T01:32:37.8260390Z                 'guarded_class': None
2022-11-23T01:32:37.8260451Z             }
2022-11-23T01:32:37.8260513Z             
2022-11-23T01:32:37.8260773Z [2022-11-23 01:25:02,500] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 313
2022-11-23T01:32:37.8261146Z [2022-11-23 01:25:05,023] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kh/ckheuap6atyzontzfxwblkjube5vf4eas4hrtyeac7pkgg2lp7hx.py
2022-11-23T01:32:37.8261408Z [2022-11-23 01:25:05,024] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 313
2022-11-23T01:32:37.8261413Z 
2022-11-23T01:32:37.8261493Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.8261559Z import torch
2022-11-23T01:32:37.8261627Z import random
2022-11-23T01:32:37.8261745Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.8261865Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.8261870Z 
2022-11-23T01:32:37.8261946Z aten = torch.ops.aten
2022-11-23T01:32:37.8262079Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.8262158Z async_compile = AsyncCompile()
2022-11-23T01:32:37.8262175Z 
2022-11-23T01:32:37.8262180Z 
2022-11-23T01:32:37.8262301Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.8262504Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.8262621Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:37.8262724Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.8262822Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.8262882Z {
2022-11-23T01:32:37.8262942Z     {
2022-11-23T01:32:37.8262993Z         {
2022-11-23T01:32:37.8263077Z             auto tmp0 = in_ptr0[0];
2022-11-23T01:32:37.8263163Z             auto tmp1 = in_ptr1[tmp0];
2022-11-23T01:32:37.8263240Z             out_ptr0[0] = tmp1;
2022-11-23T01:32:37.8263301Z         }
2022-11-23T01:32:37.8263361Z     }
2022-11-23T01:32:37.8263419Z }
2022-11-23T01:32:37.8263483Z ''')
2022-11-23T01:32:37.8263488Z 
2022-11-23T01:32:37.8263492Z 
2022-11-23T01:32:37.8263580Z async_compile.wait(globals())
2022-11-23T01:32:37.8263652Z del async_compile
2022-11-23T01:32:37.8263659Z 
2022-11-23T01:32:37.8263727Z def call(args):
2022-11-23T01:32:37.8263802Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.8263871Z     args.clear()
2022-11-23T01:32:37.8264064Z     buf0 = empty_strided((1, 1), (1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8264213Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.8264280Z     del arg0_1
2022-11-23T01:32:37.8264346Z     del arg1_1
2022-11-23T01:32:37.8264416Z     return (buf0, )
2022-11-23T01:32:37.8264547Z 
2022-11-23T01:32:37.8264551Z 
2022-11-23T01:32:37.8264633Z if __name__ == "__main__":
2022-11-23T01:32:37.8264747Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.8264870Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.8265077Z     arg0_1 = rand_strided((1, 1000), (1000, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8265287Z     arg1_1 = rand_strided((1, 1), (1, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.8265402Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.8265407Z 
2022-11-23T01:32:37.8265474Z ok (2.575s)
2022-11-23T01:32:37.8265780Z   test_mm_views_cpu (__main__.CpuTests) ... [2022-11-23 01:25:05,038] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.8266050Z [2022-11-23 01:25:05,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.8266266Z [2022-11-23 01:25:05,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.8266517Z [2022-11-23 01:25:05,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.8266803Z [2022-11-23 01:25:05,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.8267129Z [2022-11-23 01:25:05,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.8267440Z [2022-11-23 01:25:05,039] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f63c6540, file "inductor/test_torchinductor.py", line 4125> 
2022-11-23T01:32:37.8267536Z  4126           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.8267631Z                2 LOAD_METHOD              1 (mm)
2022-11-23T01:32:37.8267722Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.8267818Z                6 LOAD_METHOD              2 (view)
2022-11-23T01:32:37.8267907Z                8 LOAD_CONST               1 (32)
2022-11-23T01:32:37.8267998Z               10 LOAD_CONST               1 (32)
2022-11-23T01:32:37.8268088Z               12 CALL_METHOD              2
2022-11-23T01:32:37.8268165Z               14 LOAD_FAST                1 (b)
2022-11-23T01:32:37.8268258Z               16 LOAD_METHOD              2 (view)
2022-11-23T01:32:37.8268350Z               18 LOAD_CONST               1 (32)
2022-11-23T01:32:37.8268438Z               20 LOAD_CONST               1 (32)
2022-11-23T01:32:37.8268527Z               22 CALL_METHOD              2
2022-11-23T01:32:37.8268615Z               24 CALL_METHOD              2
2022-11-23T01:32:37.8268694Z               26 RETURN_VALUE
2022-11-23T01:32:37.8268742Z  
2022-11-23T01:32:37.8268747Z 
2022-11-23T01:32:37.8269017Z [2022-11-23 01:25:05,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4126
2022-11-23T01:32:37.8269239Z [2022-11-23 01:25:05,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.8269602Z [2022-11-23 01:25:05,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8269917Z [2022-11-23 01:25:05,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method mm of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8270265Z [2022-11-23 01:25:05,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<built-in method mm of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8270645Z [2022-11-23 01:25:05,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(<built-in method mm of type object at 0x7f71f2abebc0>), GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:37.8271068Z [2022-11-23 01:25:05,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(<built-in method mm of type object at 0x7f71f2abebc0>), GetAttrVariable(TensorVariable(), view), ConstantVariable(int)]
2022-11-23T01:32:37.8271565Z [2022-11-23 01:25:05,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method mm of type object at 0x7f71f2abebc0>), GetAttrVariable(TensorVariable(), view), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8271932Z [2022-11-23 01:25:05,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method mm of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8272306Z [2022-11-23 01:25:05,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<built-in method mm of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8272720Z [2022-11-23 01:25:05,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(<built-in method mm of type object at 0x7f71f2abebc0>), TensorVariable(), GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:37.8273169Z [2022-11-23 01:25:05,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(<built-in method mm of type object at 0x7f71f2abebc0>), TensorVariable(), GetAttrVariable(TensorVariable(), view), ConstantVariable(int)]
2022-11-23T01:32:37.8273644Z [2022-11-23 01:25:05,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method mm of type object at 0x7f71f2abebc0>), TensorVariable(), GetAttrVariable(TensorVariable(), view), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8274023Z [2022-11-23 01:25:05,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method mm of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8274273Z [2022-11-23 01:25:05,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.8274606Z [2022-11-23 01:25:05,047] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f63c6540, file "inductor/test_torchinductor.py", line 4125>
2022-11-23T01:32:37.8274851Z [2022-11-23 01:25:05,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.8275085Z [2022-11-23 01:25:05,047] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.8275340Z [2022-11-23 01:25:05,049] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.8275589Z [2022-11-23 01:25:05,056] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.8275777Z [2022-11-23 01:25:05,057] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.8275913Z  __compiled_fn_321 <eval_with_key>.2003 opcode, name, target, args, kwargs
2022-11-23T01:32:37.8275991Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.8276080Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.8276179Z call_method, view, view, (ex_0_, 32, 32), {}
2022-11-23T01:32:37.8276281Z call_method, view_1, view, (ex_1_, 32, 32), {}
2022-11-23T01:32:37.8276507Z call_function, mm, <built-in method mm of type object at 0x7f71f2abebc0>, (view, view_1), {}
2022-11-23T01:32:37.8276604Z output, output, output, ((mm,),), {}
2022-11-23T01:32:37.8276610Z 
2022-11-23T01:32:37.8276889Z [2022-11-23 01:25:05,057] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8276984Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.8277062Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8277290Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.8277429Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.8277507Z               8 RETURN_VALUE
2022-11-23T01:32:37.8277512Z 
2022-11-23T01:32:37.8277573Z  
2022-11-23T01:32:37.8277855Z [2022-11-23 01:25:05,057] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8278022Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_321)
2022-11-23T01:32:37.8278113Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8278190Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8278267Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.8278354Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8278476Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8278554Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.8278643Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.8278736Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.8278798Z              18 RETURN_VALUE
2022-11-23T01:32:37.8278803Z 
2022-11-23T01:32:37.8278864Z  
2022-11-23T01:32:37.8279047Z [2022-11-23 01:25:05,059] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.8279118Z  - 
2022-11-23T01:32:37.8279236Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.8279301Z             {
2022-11-23T01:32:37.8279441Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.8279615Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.8279731Z                 'obj_weakref': None
2022-11-23T01:32:37.8279955Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.8280021Z             }
2022-11-23T01:32:37.8280084Z             
2022-11-23T01:32:37.8280151Z  - 
2022-11-23T01:32:37.8280273Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.8280322Z             {
2022-11-23T01:32:37.8280463Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8280568Z                 'code': None,
2022-11-23T01:32:37.8280772Z                 'obj_weakref': <weakref at 0x7f7106c442f0; to 'Tensor' at 0x7f7106d8d890>
2022-11-23T01:32:37.8281017Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8281083Z             }
2022-11-23T01:32:37.8281146Z             
2022-11-23T01:32:37.8281201Z  - 
2022-11-23T01:32:37.8281322Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.8281384Z             {
2022-11-23T01:32:37.8281524Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8281632Z                 'code': None,
2022-11-23T01:32:37.8281839Z                 'obj_weakref': <weakref at 0x7f7106c443b0; to 'Tensor' at 0x7f70f162a410>
2022-11-23T01:32:37.8282085Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8282136Z             }
2022-11-23T01:32:37.8282199Z             
2022-11-23T01:32:37.8282267Z  - 
2022-11-23T01:32:37.8282395Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.8282457Z             {
2022-11-23T01:32:37.8282590Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.8282758Z                 'code': ['___check_obj_id(model, 140123913988288)'],
2022-11-23T01:32:37.8282864Z                 'obj_weakref': None
2022-11-23T01:32:37.8283089Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.8283152Z             }
2022-11-23T01:32:37.8283214Z             
2022-11-23T01:32:37.8283280Z  - 
2022-11-23T01:32:37.8283399Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.8283463Z             {
2022-11-23T01:32:37.8283585Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.8283798Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.8283914Z                 'obj_weakref': None
2022-11-23T01:32:37.8284130Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.8284193Z             }
2022-11-23T01:32:37.8284256Z             
2022-11-23T01:32:37.8284355Z  - 
2022-11-23T01:32:37.8284477Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.8284538Z             {
2022-11-23T01:32:37.8284655Z                 'guard_types': None,
2022-11-23T01:32:37.8284759Z                 'code': None,
2022-11-23T01:32:37.8284874Z                 'obj_weakref': None
2022-11-23T01:32:37.8284993Z                 'guarded_class': None
2022-11-23T01:32:37.8285055Z             }
2022-11-23T01:32:37.8285105Z             
2022-11-23T01:32:37.8285397Z [2022-11-23 01:25:05,073] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 314
2022-11-23T01:32:37.8285764Z [2022-11-23 01:25:05,076] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7o/c7og2yfefstygnpgjac3tgab5i2h2koqnm6w6d6vjsfe7cbdr6zv.py
2022-11-23T01:32:37.8286029Z [2022-11-23 01:25:05,077] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 314
2022-11-23T01:32:37.8286034Z 
2022-11-23T01:32:37.8286126Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.8286196Z import torch
2022-11-23T01:32:37.8286264Z import random
2022-11-23T01:32:37.8286366Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.8286486Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.8286492Z 
2022-11-23T01:32:37.8286568Z aten = torch.ops.aten
2022-11-23T01:32:37.8286701Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.8286793Z async_compile = AsyncCompile()
2022-11-23T01:32:37.8286800Z 
2022-11-23T01:32:37.8286805Z 
2022-11-23T01:32:37.8286890Z async_compile.wait(globals())
2022-11-23T01:32:37.8286961Z del async_compile
2022-11-23T01:32:37.8286966Z 
2022-11-23T01:32:37.8287034Z def call(args):
2022-11-23T01:32:37.8287096Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.8287166Z     args.clear()
2022-11-23T01:32:37.8287363Z     buf0 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8287482Z     aten.mm.out(arg0_1, as_strided(arg1_1, (32, 32), (32, 1)), out=buf0)
2022-11-23T01:32:37.8287551Z     del arg0_1
2022-11-23T01:32:37.8287617Z     del arg1_1
2022-11-23T01:32:37.8287686Z     return (buf0, )
2022-11-23T01:32:37.8287691Z 
2022-11-23T01:32:37.8287695Z 
2022-11-23T01:32:37.8287769Z if __name__ == "__main__":
2022-11-23T01:32:37.8287868Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.8287988Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.8288189Z     arg0_1 = rand_strided((32, 32), (1, 32), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8288395Z     arg1_1 = rand_strided((32, 1, 32), (32, 1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8288508Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.8288513Z 
2022-11-23T01:32:37.8288578Z ok (0.052s)
2022-11-23T01:32:37.8288889Z   test_move_arange_cpu (__main__.CpuTests) ... [2022-11-23 01:25:05,083] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.8289156Z [2022-11-23 01:25:05,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.8289360Z [2022-11-23 01:25:05,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.8289611Z [2022-11-23 01:25:05,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.8289897Z [2022-11-23 01:25:05,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.8290218Z [2022-11-23 01:25:05,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.8290544Z [2022-11-23 01:25:05,084] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6415ed0, file "inductor/test_torchinductor.py", line 2421> 
2022-11-23T01:32:37.8290638Z  2422           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.8290761Z                2 LOAD_ATTR                1 (arange)
2022-11-23T01:32:37.8290851Z                4 LOAD_GLOBAL              2 (len)
2022-11-23T01:32:37.8290941Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:37.8291020Z                8 CALL_FUNCTION            1
2022-11-23T01:32:37.8291159Z               10 LOAD_CONST               1 ('cpu')
2022-11-23T01:32:37.8291305Z               12 LOAD_CONST               2 (('device',))
2022-11-23T01:32:37.8291424Z               14 CALL_FUNCTION_KW         2
2022-11-23T01:32:37.8291516Z               16 LOAD_METHOD              3 (to)
2022-11-23T01:32:37.8291605Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:37.8291695Z               20 LOAD_ATTR                4 (device)
2022-11-23T01:32:37.8291769Z               22 CALL_METHOD              1
2022-11-23T01:32:37.8291856Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:37.8291930Z               26 BINARY_ADD
2022-11-23T01:32:37.8292004Z               28 RETURN_VALUE
2022-11-23T01:32:37.8292066Z  
2022-11-23T01:32:37.8292071Z 
2022-11-23T01:32:37.8292337Z [2022-11-23 01:25:05,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2422
2022-11-23T01:32:37.8292552Z [2022-11-23 01:25:05,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.8292920Z [2022-11-23 01:25:05,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8293236Z [2022-11-23 01:25:05,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL len [TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8293591Z [2022-11-23 01:25:05,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>), BuiltinVariable(len)]
2022-11-23T01:32:37.8293983Z [2022-11-23 01:25:05,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>), BuiltinVariable(len), TensorVariable()]
2022-11-23T01:32:37.8294345Z [2022-11-23 01:25:05,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST cpu [TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>), ConstantVariable(int)]
2022-11-23T01:32:37.8294760Z [2022-11-23 01:25:05,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(str)]
2022-11-23T01:32:37.8295209Z [2022-11-23 01:25:05,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method arange of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.8295447Z [2022-11-23 01:25:05,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()]
2022-11-23T01:32:37.8295719Z [2022-11-23 01:25:05,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [GetAttrVariable(TensorVariable(), to)]
2022-11-23T01:32:37.8296022Z [2022-11-23 01:25:05,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [GetAttrVariable(TensorVariable(), to), TensorVariable()]
2022-11-23T01:32:37.8296325Z [2022-11-23 01:25:05,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), TorchVariable(cpu)]
2022-11-23T01:32:37.8296560Z [2022-11-23 01:25:05,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:37.8296830Z [2022-11-23 01:25:05,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8297065Z [2022-11-23 01:25:05,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.8297394Z [2022-11-23 01:25:05,091] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6415ed0, file "inductor/test_torchinductor.py", line 2421>
2022-11-23T01:32:37.8297663Z [2022-11-23 01:25:05,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.8297898Z [2022-11-23 01:25:05,091] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.8298148Z [2022-11-23 01:25:05,092] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.8298440Z [2022-11-23 01:25:05,097] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.8298629Z [2022-11-23 01:25:05,098] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.8298761Z  __compiled_fn_322 <eval_with_key>.2009 opcode, name, target, args, kwargs
2022-11-23T01:32:37.8298851Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.8299089Z call_function, arange, <built-in method arange of type object at 0x7f71f2abebc0>, (32,), {'device': 'cpu'}
2022-11-23T01:32:37.8299251Z call_method, to, to, (arange, device(type='cpu')), {}
2022-11-23T01:32:37.8299424Z call_function, add, <built-in function add>, (to, ex_0_), {}
2022-11-23T01:32:37.8299519Z output, output, output, ((add,),), {}
2022-11-23T01:32:37.8299525Z 
2022-11-23T01:32:37.8299802Z [2022-11-23 01:25:05,098] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8299897Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.8299988Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8300080Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.8300157Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.8300235Z               8 RETURN_VALUE
2022-11-23T01:32:37.8300240Z 
2022-11-23T01:32:37.8300304Z  
2022-11-23T01:32:37.8300575Z [2022-11-23 01:25:05,098] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8300685Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_322)
2022-11-23T01:32:37.8300774Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8300863Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8300941Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.8301016Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.8301105Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.8301181Z              12 RETURN_VALUE
2022-11-23T01:32:37.8301186Z 
2022-11-23T01:32:37.8301244Z  
2022-11-23T01:32:37.8301428Z [2022-11-23 01:25:05,100] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.8301498Z  - 
2022-11-23T01:32:37.8301614Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.8301666Z             {
2022-11-23T01:32:37.8301805Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.8301989Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.8302108Z                 'obj_weakref': None
2022-11-23T01:32:37.8302330Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.8302393Z             }
2022-11-23T01:32:37.8302456Z             
2022-11-23T01:32:37.8302511Z  - 
2022-11-23T01:32:37.8302630Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:37.8302694Z             {
2022-11-23T01:32:37.8302830Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:37.8302998Z                 'code': ['___check_type_id(ex[0], 107271106909856)'],
2022-11-23T01:32:37.8303205Z                 'obj_weakref': <weakref at 0x7f71188f0ef0; to 'Tensor' at 0x7f710cd89d70>
2022-11-23T01:32:37.8303451Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8303501Z             }
2022-11-23T01:32:37.8303563Z             
2022-11-23T01:32:37.8303632Z  - 
2022-11-23T01:32:37.8303753Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.8303846Z             {
2022-11-23T01:32:37.8303988Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8304094Z                 'code': None,
2022-11-23T01:32:37.8304288Z                 'obj_weakref': <weakref at 0x7f71188f0ef0; to 'Tensor' at 0x7f710cd89d70>
2022-11-23T01:32:37.8304612Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8304678Z             }
2022-11-23T01:32:37.8304784Z             
2022-11-23T01:32:37.8304856Z  - 
2022-11-23T01:32:37.8304987Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.8305050Z             {
2022-11-23T01:32:37.8305171Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.8305339Z                 'code': ['___check_obj_id(model, 140123416155200)'],
2022-11-23T01:32:37.8305457Z                 'obj_weakref': None
2022-11-23T01:32:37.8305682Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.8305747Z             }
2022-11-23T01:32:37.8305809Z             
2022-11-23T01:32:37.8305876Z  - 
2022-11-23T01:32:37.8305983Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.8306044Z             {
2022-11-23T01:32:37.8306178Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.8306392Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.8306511Z                 'obj_weakref': None
2022-11-23T01:32:37.8306726Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.8306790Z             }
2022-11-23T01:32:37.8306839Z             
2022-11-23T01:32:37.8306907Z  - 
2022-11-23T01:32:37.8307032Z             global 'len' BUILTIN_MATCH
2022-11-23T01:32:37.8307097Z             {
2022-11-23T01:32:37.8307214Z                 'guard_types': None,
2022-11-23T01:32:37.8307319Z                 'code': None,
2022-11-23T01:32:37.8307436Z                 'obj_weakref': None
2022-11-23T01:32:37.8307542Z                 'guarded_class': None
2022-11-23T01:32:37.8307604Z             }
2022-11-23T01:32:37.8307666Z             
2022-11-23T01:32:37.8307734Z  - 
2022-11-23T01:32:37.8307863Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.8307926Z             {
2022-11-23T01:32:37.8308030Z                 'guard_types': None,
2022-11-23T01:32:37.8308133Z                 'code': None,
2022-11-23T01:32:37.8308249Z                 'obj_weakref': None
2022-11-23T01:32:37.8308367Z                 'guarded_class': None
2022-11-23T01:32:37.8308430Z             }
2022-11-23T01:32:37.8308491Z             
2022-11-23T01:32:37.8308749Z [2022-11-23 01:25:05,108] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 315
2022-11-23T01:32:37.8309113Z [2022-11-23 01:25:07,604] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k2/ck2bvyt5qwtrhm4noeaz26dd62ehajpl7ord2qq5u57epaxulhlk.py
2022-11-23T01:32:37.8309366Z [2022-11-23 01:25:07,604] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 315
2022-11-23T01:32:37.8309371Z 
2022-11-23T01:32:37.8309463Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.8309531Z import torch
2022-11-23T01:32:37.8309599Z import random
2022-11-23T01:32:37.8309712Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.8309830Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.8309835Z 
2022-11-23T01:32:37.8309913Z aten = torch.ops.aten
2022-11-23T01:32:37.8310033Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.8310123Z async_compile = AsyncCompile()
2022-11-23T01:32:37.8310128Z 
2022-11-23T01:32:37.8310132Z 
2022-11-23T01:32:37.8310263Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.8310465Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.8310583Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.8310711Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.8310771Z {
2022-11-23T01:32:37.8310868Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.8310916Z     {
2022-11-23T01:32:37.8310992Z         #pragma omp for 
2022-11-23T01:32:37.8311073Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:37.8311135Z         {
2022-11-23T01:32:37.8311197Z             {
2022-11-23T01:32:37.8311261Z                 {
2022-11-23T01:32:37.8311378Z                     auto tmp2 = in_ptr0[i0];
2022-11-23T01:32:37.8311470Z                     auto tmp0 = static_cast<long>(i0);
2022-11-23T01:32:37.8311578Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:37.8311668Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:37.8311757Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:37.8311823Z                 }
2022-11-23T01:32:37.8311887Z             }
2022-11-23T01:32:37.8311951Z         }
2022-11-23T01:32:37.8312002Z     }
2022-11-23T01:32:37.8312063Z }
2022-11-23T01:32:37.8312146Z ''')
2022-11-23T01:32:37.8312151Z 
2022-11-23T01:32:37.8312155Z 
2022-11-23T01:32:37.8312246Z async_compile.wait(globals())
2022-11-23T01:32:37.8312319Z del async_compile
2022-11-23T01:32:37.8312324Z 
2022-11-23T01:32:37.8312395Z def call(args):
2022-11-23T01:32:37.8312466Z     arg0_1, = args
2022-11-23T01:32:37.8312523Z     args.clear()
2022-11-23T01:32:37.8312718Z     buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8312855Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.8312925Z     del arg0_1
2022-11-23T01:32:37.8312997Z     return (buf0, )
2022-11-23T01:32:37.8313001Z 
2022-11-23T01:32:37.8313005Z 
2022-11-23T01:32:37.8313082Z if __name__ == "__main__":
2022-11-23T01:32:37.8313195Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.8313316Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.8313497Z     arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8313608Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.8313613Z 
2022-11-23T01:32:37.8313681Z ok (2.528s)
2022-11-23T01:32:37.8313820Z   test_multi_device_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s)
2022-11-23T01:32:37.8313969Z   test_multilayer_low_prec_cpu (__main__.CpuTests) ... skip: requires CUDA (0.001s)
2022-11-23T01:32:37.8314115Z   test_nan_to_num_cpu (__main__.CpuTests) ... skip: Skipping due to op bugs (0.001s)
2022-11-23T01:32:37.8314420Z   test_narrow_cpu (__main__.CpuTests) ... [2022-11-23 01:25:07,618] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.8314689Z [2022-11-23 01:25:07,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.8314892Z [2022-11-23 01:25:07,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.8315145Z [2022-11-23 01:25:07,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.8315436Z [2022-11-23 01:25:07,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.8315760Z [2022-11-23 01:25:07,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.8316090Z [2022-11-23 01:25:07,619] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6437d20, file "inductor/test_torchinductor.py", line 3599> 
2022-11-23T01:32:37.8316188Z  3600           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.8316287Z                2 LOAD_METHOD              1 (narrow)
2022-11-23T01:32:37.8316379Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.8316470Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:37.8316549Z                8 LOAD_CONST               2 (10)
2022-11-23T01:32:37.8316672Z               10 LOAD_CONST               3 (16)
2022-11-23T01:32:37.8316760Z               12 CALL_METHOD              4
2022-11-23T01:32:37.8316854Z               14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.8316951Z               16 LOAD_METHOD              1 (narrow)
2022-11-23T01:32:37.8317044Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:37.8317244Z               20 LOAD_CONST               4 (2)
2022-11-23T01:32:37.8317350Z               22 BINARY_ADD
2022-11-23T01:32:37.8317439Z               24 LOAD_CONST               5 (0)
2022-11-23T01:32:37.8317529Z               26 LOAD_CONST               2 (10)
2022-11-23T01:32:37.8317617Z               28 LOAD_CONST               3 (16)
2022-11-23T01:32:37.8317706Z               30 CALL_METHOD              4
2022-11-23T01:32:37.8317795Z               32 LOAD_CONST               1 (1)
2022-11-23T01:32:37.8317870Z               34 BINARY_ADD
2022-11-23T01:32:37.8317945Z               36 BUILD_TUPLE              2
2022-11-23T01:32:37.8318026Z               38 RETURN_VALUE
2022-11-23T01:32:37.8318088Z  
2022-11-23T01:32:37.8318093Z 
2022-11-23T01:32:37.8318363Z [2022-11-23 01:25:07,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3600
2022-11-23T01:32:37.8318581Z [2022-11-23 01:25:07,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.8318890Z [2022-11-23 01:25:07,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR narrow [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8319143Z [2022-11-23 01:25:07,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.narrow)]
2022-11-23T01:32:37.8319425Z [2022-11-23 01:25:07,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.narrow), TensorVariable()]
2022-11-23T01:32:37.8319747Z [2022-11-23 01:25:07,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8320089Z [2022-11-23 01:25:07,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8320486Z [2022-11-23 01:25:07,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8320730Z [2022-11-23 01:25:07,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.8321063Z [2022-11-23 01:25:07,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR narrow [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8321343Z [2022-11-23 01:25:07,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.narrow)]
2022-11-23T01:32:37.8321651Z [2022-11-23 01:25:07,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable()]
2022-11-23T01:32:37.8322002Z [2022-11-23 01:25:07,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8322310Z [2022-11-23 01:25:07,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable()]
2022-11-23T01:32:37.8322654Z [2022-11-23 01:25:07,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8323034Z [2022-11-23 01:25:07,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8323461Z [2022-11-23 01:25:07,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8323764Z [2022-11-23 01:25:07,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8324080Z [2022-11-23 01:25:07,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8324348Z [2022-11-23 01:25:07,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8324591Z [2022-11-23 01:25:07,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.8324920Z [2022-11-23 01:25:07,659] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6437d20, file "inductor/test_torchinductor.py", line 3599>
2022-11-23T01:32:37.8325165Z [2022-11-23 01:25:07,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.8325398Z [2022-11-23 01:25:07,659] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.8325648Z [2022-11-23 01:25:07,662] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.8325899Z [2022-11-23 01:25:07,671] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.8326087Z [2022-11-23 01:25:07,672] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.8326209Z  __compiled_fn_323 <eval_with_key>.2015 opcode, name, target, args, kwargs
2022-11-23T01:32:37.8326296Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.8326413Z call_function, narrow, aten.narrow, (ex_0_, 1, 10, 16), {}
2022-11-23T01:32:37.8326583Z call_function, add, <built-in function add>, (ex_0_, 2), {}
2022-11-23T01:32:37.8326696Z call_function, narrow_1, aten.narrow, (add, 0, 10, 16), {}
2022-11-23T01:32:37.8326878Z call_function, add_1, <built-in function add>, (narrow_1, 1), {}
2022-11-23T01:32:37.8326985Z output, output, output, ((narrow, add_1),), {}
2022-11-23T01:32:37.8326990Z 
2022-11-23T01:32:37.8327265Z [2022-11-23 01:25:07,673] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8327345Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.8327438Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8327529Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.8327619Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.8327695Z               8 RETURN_VALUE
2022-11-23T01:32:37.8327700Z 
2022-11-23T01:32:37.8327759Z  
2022-11-23T01:32:37.8328032Z [2022-11-23 01:25:07,673] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8328138Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_323)
2022-11-23T01:32:37.8328217Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8328304Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8328378Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.8328463Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.8328565Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.8328664Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8328753Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8328816Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.8328915Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8329002Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8329076Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.8329163Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.8329236Z              26 RETURN_VALUE
2022-11-23T01:32:37.8329242Z 
2022-11-23T01:32:37.8329328Z  
2022-11-23T01:32:37.8329497Z [2022-11-23 01:25:07,675] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.8329564Z  - 
2022-11-23T01:32:37.8329681Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.8329744Z             {
2022-11-23T01:32:37.8329885Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.8330069Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.8330219Z                 'obj_weakref': None
2022-11-23T01:32:37.8330446Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.8330498Z             }
2022-11-23T01:32:37.8330562Z             
2022-11-23T01:32:37.8330629Z  - 
2022-11-23T01:32:37.8330751Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.8330811Z             {
2022-11-23T01:32:37.8330952Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8331046Z                 'code': None,
2022-11-23T01:32:37.8331256Z                 'obj_weakref': <weakref at 0x7f710722bef0; to 'Tensor' at 0x7f70f163bef0>
2022-11-23T01:32:37.8331502Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8331564Z             }
2022-11-23T01:32:37.8331626Z             
2022-11-23T01:32:37.8331692Z  - 
2022-11-23T01:32:37.8331824Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.8331874Z             {
2022-11-23T01:32:37.8332008Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.8332172Z                 'code': ['___check_obj_id(model, 140123416155200)'],
2022-11-23T01:32:37.8332288Z                 'obj_weakref': None
2022-11-23T01:32:37.8332513Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.8332577Z             }
2022-11-23T01:32:37.8332639Z             
2022-11-23T01:32:37.8332694Z  - 
2022-11-23T01:32:37.8332815Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.8332879Z             {
2022-11-23T01:32:37.8333012Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.8333226Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.8333342Z                 'obj_weakref': None
2022-11-23T01:32:37.8333555Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.8333617Z             }
2022-11-23T01:32:37.8333669Z             
2022-11-23T01:32:37.8333736Z  - 
2022-11-23T01:32:37.8333865Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.8333927Z             {
2022-11-23T01:32:37.8334044Z                 'guard_types': None,
2022-11-23T01:32:37.8334148Z                 'code': None,
2022-11-23T01:32:37.8334251Z                 'obj_weakref': None
2022-11-23T01:32:37.8334369Z                 'guarded_class': None
2022-11-23T01:32:37.8334431Z             }
2022-11-23T01:32:37.8334492Z             
2022-11-23T01:32:37.8334755Z [2022-11-23 01:25:07,691] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 316
2022-11-23T01:32:37.8335121Z [2022-11-23 01:25:10,268] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/re/crehanogb6i7li6km4hs2hgf4ehd4kszya5jxnqxfchty6yk4l67.py
2022-11-23T01:32:37.8335383Z [2022-11-23 01:25:10,269] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 316
2022-11-23T01:32:37.8335388Z 
2022-11-23T01:32:37.8335484Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.8335540Z import torch
2022-11-23T01:32:37.8335607Z import random
2022-11-23T01:32:37.8335720Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.8335843Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.8335848Z 
2022-11-23T01:32:37.8335925Z aten = torch.ops.aten
2022-11-23T01:32:37.8336058Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.8336150Z async_compile = AsyncCompile()
2022-11-23T01:32:37.8336184Z 
2022-11-23T01:32:37.8336189Z 
2022-11-23T01:32:37.8336321Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.8336513Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.8336630Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.8336730Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.8336790Z {
2022-11-23T01:32:37.8336913Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.8336974Z     {
2022-11-23T01:32:37.8337049Z         #pragma omp for 
2022-11-23T01:32:37.8337119Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:37.8337182Z         {
2022-11-23T01:32:37.8337331Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 640 + (16*i0));
2022-11-23T01:32:37.8337466Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:37.8337551Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.8337686Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.8337771Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:37.8337863Z             tmp4.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.8337914Z         }
2022-11-23T01:32:37.8338008Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.8338092Z         for(long i0=1024; i0<1024; i0+=1)
2022-11-23T01:32:37.8338155Z         {
2022-11-23T01:32:37.8338246Z             auto tmp0 = in_ptr0[640 + i0];
2022-11-23T01:32:37.8338343Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:37.8338414Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.8338510Z             auto tmp3 = static_cast<float>(1);
2022-11-23T01:32:37.8338593Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:37.8338672Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:37.8338734Z         }
2022-11-23T01:32:37.8338797Z     }
2022-11-23T01:32:37.8338856Z }
2022-11-23T01:32:37.8338921Z ''')
2022-11-23T01:32:37.8338928Z 
2022-11-23T01:32:37.8338943Z 
2022-11-23T01:32:37.8339020Z async_compile.wait(globals())
2022-11-23T01:32:37.8339090Z del async_compile
2022-11-23T01:32:37.8339095Z 
2022-11-23T01:32:37.8339164Z def call(args):
2022-11-23T01:32:37.8339233Z     arg0_1, = args
2022-11-23T01:32:37.8339302Z     args.clear()
2022-11-23T01:32:37.8339501Z     buf0 = empty_strided((16, 64), (64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8339635Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.8339730Z     return (as_strided(arg0_1, (64, 16), (64, 1), 10), buf0, )
2022-11-23T01:32:37.8339735Z 
2022-11-23T01:32:37.8339739Z 
2022-11-23T01:32:37.8339813Z if __name__ == "__main__":
2022-11-23T01:32:37.8339925Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.8340045Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.8340241Z     arg0_1 = rand_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8340348Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.8340352Z 
2022-11-23T01:32:37.8340417Z ok (2.665s)
2022-11-23T01:32:37.8340737Z   test_new_empty_strided_cpu (__main__.CpuTests) ... [2022-11-23 01:25:10,286] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.8340993Z [2022-11-23 01:25:10,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.8341211Z [2022-11-23 01:25:10,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.8341460Z [2022-11-23 01:25:10,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.8341743Z [2022-11-23 01:25:10,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.8342063Z [2022-11-23 01:25:10,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.8342417Z [2022-11-23 01:25:10,287] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6442030, file "inductor/test_torchinductor.py", line 3813> 
2022-11-23T01:32:37.8342511Z  3814           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.8342618Z                2 LOAD_METHOD              1 (new_empty_strided)
2022-11-23T01:32:37.8342708Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.8342811Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:37.8342903Z                8 LOAD_CONST               2 (128)
2022-11-23T01:32:37.8342990Z               10 LOAD_CONST               2 (128)
2022-11-23T01:32:37.8343076Z               12 BUILD_LIST               3
2022-11-23T01:32:37.8343169Z               14 LOAD_CONST               3 (16384)
2022-11-23T01:32:37.8343255Z               16 LOAD_CONST               2 (128)
2022-11-23T01:32:37.8343342Z               18 LOAD_CONST               1 (1)
2022-11-23T01:32:37.8343417Z               20 BUILD_LIST               3
2022-11-23T01:32:37.8343503Z               22 CALL_METHOD              3
2022-11-23T01:32:37.8343595Z               24 LOAD_METHOD              2 (fill_)
2022-11-23T01:32:37.8343681Z               26 LOAD_CONST               4 (123)
2022-11-23T01:32:37.8343767Z               28 CALL_METHOD              1
2022-11-23T01:32:37.8343843Z               30 RETURN_VALUE
2022-11-23T01:32:37.8343903Z  
2022-11-23T01:32:37.8343907Z 
2022-11-23T01:32:37.8344176Z [2022-11-23 01:25:10,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3814
2022-11-23T01:32:37.8344377Z [2022-11-23 01:25:10,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.8344777Z [2022-11-23 01:25:10,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR new_empty_strided [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8345049Z [2022-11-23 01:25:10,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.new_empty_strided)]
2022-11-23T01:32:37.8345351Z [2022-11-23 01:25:10,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.new_empty_strided), TensorVariable()]
2022-11-23T01:32:37.8345688Z [2022-11-23 01:25:10,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 128 [TorchVariable(aten.new_empty_strided), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8346066Z [2022-11-23 01:25:10,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 128 [TorchVariable(aten.new_empty_strided), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8346477Z [2022-11-23 01:25:10,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.new_empty_strided), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8346800Z [2022-11-23 01:25:10,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16384 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.8347159Z [2022-11-23 01:25:10,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 128 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8347560Z [2022-11-23 01:25:10,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8347997Z [2022-11-23 01:25:10,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8348345Z [2022-11-23 01:25:10,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.8348611Z [2022-11-23 01:25:10,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fill_ [TensorVariable()]
2022-11-23T01:32:37.8348885Z [2022-11-23 01:25:10,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 123 [GetAttrVariable(TensorVariable(), fill_)]
2022-11-23T01:32:37.8349199Z [2022-11-23 01:25:10,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), fill_), ConstantVariable(int)]
2022-11-23T01:32:37.8349479Z [2022-11-23 01:25:10,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.8349808Z [2022-11-23 01:25:10,310] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6442030, file "inductor/test_torchinductor.py", line 3813>
2022-11-23T01:32:37.8350051Z [2022-11-23 01:25:10,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.8350283Z [2022-11-23 01:25:10,310] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.8350533Z [2022-11-23 01:25:10,311] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.8350781Z [2022-11-23 01:25:10,317] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.8350967Z [2022-11-23 01:25:10,317] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.8351091Z  __compiled_fn_324 <eval_with_key>.2021 opcode, name, target, args, kwargs
2022-11-23T01:32:37.8351179Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.8351330Z call_function, new_empty_strided, aten.new_empty_strided, (ex_0_, [1, 128, 128], [16384, 128, 1]), {}
2022-11-23T01:32:37.8351443Z call_method, fill_, fill_, (new_empty_strided, 123), {}
2022-11-23T01:32:37.8351538Z output, output, output, ((fill_,),), {}
2022-11-23T01:32:37.8351545Z 
2022-11-23T01:32:37.8351818Z [2022-11-23 01:25:10,318] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8351912Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.8352002Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8352080Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.8352169Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.8352246Z               8 RETURN_VALUE
2022-11-23T01:32:37.8352251Z 
2022-11-23T01:32:37.8352313Z  
2022-11-23T01:32:37.8352587Z [2022-11-23 01:25:10,318] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8352694Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_324)
2022-11-23T01:32:37.8352783Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8352870Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8352933Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.8353020Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.8353108Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.8353184Z              12 RETURN_VALUE
2022-11-23T01:32:37.8353189Z 
2022-11-23T01:32:37.8353249Z  
2022-11-23T01:32:37.8353427Z [2022-11-23 01:25:10,319] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.8353495Z  - 
2022-11-23T01:32:37.8353599Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.8353661Z             {
2022-11-23T01:32:37.8353801Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.8353988Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.8354106Z                 'obj_weakref': None
2022-11-23T01:32:37.8354328Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.8354391Z             }
2022-11-23T01:32:37.8354441Z             
2022-11-23T01:32:37.8354512Z  - 
2022-11-23T01:32:37.8354638Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.8354703Z             {
2022-11-23T01:32:37.8354875Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8354983Z                 'code': None,
2022-11-23T01:32:37.8355193Z                 'obj_weakref': <weakref at 0x7f7129e81fb0; to 'Tensor' at 0x7f710722b530>
2022-11-23T01:32:37.8355428Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8355492Z             }
2022-11-23T01:32:37.8355557Z             
2022-11-23T01:32:37.8355627Z  - 
2022-11-23T01:32:37.8355784Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.8355849Z             {
2022-11-23T01:32:37.8355983Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.8356140Z                 'code': ['___check_obj_id(model, 140123423273328)'],
2022-11-23T01:32:37.8356260Z                 'obj_weakref': None
2022-11-23T01:32:37.8356492Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.8356556Z             }
2022-11-23T01:32:37.8356623Z             
2022-11-23T01:32:37.8356692Z  - 
2022-11-23T01:32:37.8356816Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.8356867Z             {
2022-11-23T01:32:37.8357003Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.8357407Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.8357539Z                 'obj_weakref': None
2022-11-23T01:32:37.8357764Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.8357830Z             }
2022-11-23T01:32:37.8357898Z             
2022-11-23T01:32:37.8357953Z  - 
2022-11-23T01:32:37.8358086Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.8358151Z             {
2022-11-23T01:32:37.8358270Z                 'guard_types': None,
2022-11-23T01:32:37.8358378Z                 'code': None,
2022-11-23T01:32:37.8358497Z                 'obj_weakref': None
2022-11-23T01:32:37.8358620Z                 'guarded_class': None
2022-11-23T01:32:37.8358670Z             }
2022-11-23T01:32:37.8358734Z             
2022-11-23T01:32:37.8358997Z [2022-11-23 01:25:10,329] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 317
2022-11-23T01:32:37.8359372Z [2022-11-23 01:25:12,849] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xe/cxe756buejbdspnkqyfinvwiktpmomjiieatqtujqorokcznkzxa.py
2022-11-23T01:32:37.8359640Z [2022-11-23 01:25:12,850] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 317
2022-11-23T01:32:37.8359645Z 
2022-11-23T01:32:37.8359741Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.8359813Z import torch
2022-11-23T01:32:37.8359870Z import random
2022-11-23T01:32:37.8359986Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.8360107Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.8360113Z 
2022-11-23T01:32:37.8360193Z aten = torch.ops.aten
2022-11-23T01:32:37.8360331Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.8360424Z async_compile = AsyncCompile()
2022-11-23T01:32:37.8360429Z 
2022-11-23T01:32:37.8360433Z 
2022-11-23T01:32:37.8360567Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.8360773Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.8360889Z extern "C" void kernel(float* __restrict__ out_ptr0)
2022-11-23T01:32:37.8360939Z {
2022-11-23T01:32:37.8361039Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.8361102Z     {
2022-11-23T01:32:37.8361184Z         #pragma omp for 
2022-11-23T01:32:37.8361265Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:37.8361332Z         {
2022-11-23T01:32:37.8361460Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(123));
2022-11-23T01:32:37.8361553Z             tmp0.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.8361616Z         }
2022-11-23T01:32:37.8361768Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.8361857Z         for(long i0=16384; i0<16384; i0+=1)
2022-11-23T01:32:37.8361921Z         {
2022-11-23T01:32:37.8362022Z             auto tmp0 = static_cast<float>(123);
2022-11-23T01:32:37.8362090Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:37.8362155Z         }
2022-11-23T01:32:37.8362221Z     }
2022-11-23T01:32:37.8362282Z }
2022-11-23T01:32:37.8362362Z ''')
2022-11-23T01:32:37.8362367Z 
2022-11-23T01:32:37.8362371Z 
2022-11-23T01:32:37.8362495Z async_compile.wait(globals())
2022-11-23T01:32:37.8362568Z del async_compile
2022-11-23T01:32:37.8362573Z 
2022-11-23T01:32:37.8362644Z def call(args):
2022-11-23T01:32:37.8362701Z     arg0_1, = args
2022-11-23T01:32:37.8362769Z     args.clear()
2022-11-23T01:32:37.8362985Z     buf0 = empty_strided((1, 128, 128), (16384, 128, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8363087Z     kernel_cpp_0(c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.8363159Z     return (buf0, )
2022-11-23T01:32:37.8363166Z 
2022-11-23T01:32:37.8363169Z 
2022-11-23T01:32:37.8363245Z if __name__ == "__main__":
2022-11-23T01:32:37.8363358Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.8363466Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.8363657Z     arg0_1 = rand_strided((55, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8363763Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.8363767Z 
2022-11-23T01:32:37.8363835Z ok (2.584s)
2022-11-23T01:32:37.8364142Z   test_new_ones_cpu (__main__.CpuTests) ... [2022-11-23 01:25:12,869] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.8364412Z [2022-11-23 01:25:12,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.8364630Z [2022-11-23 01:25:12,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.8364881Z [2022-11-23 01:25:12,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.8365167Z [2022-11-23 01:25:12,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.8365477Z [2022-11-23 01:25:12,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.8365801Z [2022-11-23 01:25:12,870] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6423780, file "inductor/test_torchinductor.py", line 2793> 
2022-11-23T01:32:37.8365895Z  2795           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.8365990Z                2 LOAD_ATTR                1 (new_ones)
2022-11-23T01:32:37.8365996Z 
2022-11-23T01:32:37.8366085Z 2796           4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.8366171Z                6 BUILD_LIST               0
2022-11-23T01:32:37.8366259Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:37.8366354Z               10 LOAD_ATTR                2 (device)
2022-11-23T01:32:37.8366430Z               12 LOAD_CONST               1 (6)
2022-11-23T01:32:37.8366517Z               14 LOAD_CONST               2 (0)
2022-11-23T01:32:37.8366607Z               16 LOAD_CONST               3 (False)
2022-11-23T01:32:37.8366806Z               18 LOAD_CONST               4 (('device', 'dtype', 'layout', 'pin_memory'))
2022-11-23T01:32:37.8366899Z               20 CALL_FUNCTION_KW         6
2022-11-23T01:32:37.8366904Z 
2022-11-23T01:32:37.8366994Z 2798          22 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.8367091Z               24 LOAD_ATTR                3 (new_zeros)
2022-11-23T01:32:37.8367096Z 
2022-11-23T01:32:37.8367184Z 2799          26 LOAD_FAST                0 (a)
2022-11-23T01:32:37.8367257Z               28 BUILD_LIST               0
2022-11-23T01:32:37.8367344Z               30 LOAD_FAST                0 (a)
2022-11-23T01:32:37.8367436Z               32 LOAD_ATTR                2 (device)
2022-11-23T01:32:37.8367549Z               34 LOAD_CONST               1 (6)
2022-11-23T01:32:37.8367636Z               36 LOAD_CONST               2 (0)
2022-11-23T01:32:37.8367726Z               38 LOAD_CONST               3 (False)
2022-11-23T01:32:37.8367924Z               40 LOAD_CONST               4 (('device', 'dtype', 'layout', 'pin_memory'))
2022-11-23T01:32:37.8368002Z               42 CALL_FUNCTION_KW         6
2022-11-23T01:32:37.8368119Z               44 BUILD_TUPLE              2
2022-11-23T01:32:37.8368195Z               46 RETURN_VALUE
2022-11-23T01:32:37.8368256Z  
2022-11-23T01:32:37.8368261Z 
2022-11-23T01:32:37.8368531Z [2022-11-23 01:25:12,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2795
2022-11-23T01:32:37.8368745Z [2022-11-23 01:25:12,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.8369055Z [2022-11-23 01:25:12,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR new_ones [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8369320Z [2022-11-23 01:25:12,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2796
2022-11-23T01:32:37.8369574Z [2022-11-23 01:25:12,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.new_ones)]
2022-11-23T01:32:37.8369846Z [2022-11-23 01:25:12,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.new_ones), TensorVariable()]
2022-11-23T01:32:37.8370151Z [2022-11-23 01:25:12,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.new_ones), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.8370491Z [2022-11-23 01:25:12,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:37.8370826Z [2022-11-23 01:25:12,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:32:37.8371206Z [2022-11-23 01:25:12,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int)]
2022-11-23T01:32:37.8371631Z [2022-11-23 01:25:12,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8372145Z [2022-11-23 01:25:12,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device', 'dtype', 'layout', 'pin_memory') [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:37.8372650Z [2022-11-23 01:25:12,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:37.8372917Z [2022-11-23 01:25:12,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2798
2022-11-23T01:32:37.8373159Z [2022-11-23 01:25:12,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.8373498Z [2022-11-23 01:25:12,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR new_zeros [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8373761Z [2022-11-23 01:25:12,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2799
2022-11-23T01:32:37.8374041Z [2022-11-23 01:25:12,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.new_zeros)]
2022-11-23T01:32:37.8374341Z [2022-11-23 01:25:12,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable()]
2022-11-23T01:32:37.8374705Z [2022-11-23 01:25:12,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.8375102Z [2022-11-23 01:25:12,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TensorVariable()]
2022-11-23T01:32:37.8375470Z [2022-11-23 01:25:12,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:32:37.8375875Z [2022-11-23 01:25:12,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int)]
2022-11-23T01:32:37.8376328Z [2022-11-23 01:25:12,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8376878Z [2022-11-23 01:25:12,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device', 'dtype', 'layout', 'pin_memory') [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:37.8377411Z [2022-11-23 01:25:12,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:37.8377680Z [2022-11-23 01:25:12,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8377927Z [2022-11-23 01:25:12,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.8378253Z [2022-11-23 01:25:12,903] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6423780, file "inductor/test_torchinductor.py", line 2793>
2022-11-23T01:32:37.8378496Z [2022-11-23 01:25:12,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.8378733Z [2022-11-23 01:25:12,904] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.8378971Z [2022-11-23 01:25:12,906] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.8379216Z [2022-11-23 01:25:12,913] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.8379402Z [2022-11-23 01:25:12,913] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.8379534Z  __compiled_fn_325 <eval_with_key>.2027 opcode, name, target, args, kwargs
2022-11-23T01:32:37.8379626Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.8379898Z call_function, new_ones, aten.new_ones, (ex_0_, []), {'device': device(type='cpu'), 'dtype': 6, 'layout': 0, 'pin_memory': False}
2022-11-23T01:32:37.8380174Z call_function, new_zeros, aten.new_zeros, (ex_0_, []), {'device': device(type='cpu'), 'dtype': 6, 'layout': 0, 'pin_memory': False}
2022-11-23T01:32:37.8380292Z output, output, output, ((new_ones, new_zeros),), {}
2022-11-23T01:32:37.8380298Z 
2022-11-23T01:32:37.8380572Z [2022-11-23 01:25:12,914] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8380653Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.8380740Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8380831Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.8380920Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.8381022Z               8 RETURN_VALUE
2022-11-23T01:32:37.8381027Z 
2022-11-23T01:32:37.8381087Z  
2022-11-23T01:32:37.8381359Z [2022-11-23 01:25:12,914] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8381464Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_325)
2022-11-23T01:32:37.8381541Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8381654Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8381731Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.8381819Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.8381922Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.8382023Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8382110Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8382173Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.8382272Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8382362Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8382436Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.8382523Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.8382600Z              26 RETURN_VALUE
2022-11-23T01:32:37.8382605Z 
2022-11-23T01:32:37.8382664Z  
2022-11-23T01:32:37.8382835Z [2022-11-23 01:25:12,916] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.8382901Z  - 
2022-11-23T01:32:37.8383023Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.8383085Z             {
2022-11-23T01:32:37.8383224Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.8383409Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.8383526Z                 'obj_weakref': None
2022-11-23T01:32:37.8383736Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.8383799Z             }
2022-11-23T01:32:37.8383863Z             
2022-11-23T01:32:37.8383932Z  - 
2022-11-23T01:32:37.8384051Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:37.8384112Z             {
2022-11-23T01:32:37.8384250Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:37.8384403Z                 'code': ['___check_type_id(ex[0], 107271106909856)'],
2022-11-23T01:32:37.8384729Z                 'obj_weakref': <weakref at 0x7f7106deee90; to 'Tensor' at 0x7f7106720ef0>
2022-11-23T01:32:37.8384981Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8385045Z             }
2022-11-23T01:32:37.8385108Z             
2022-11-23T01:32:37.8385176Z  - 
2022-11-23T01:32:37.8385300Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.8385350Z             {
2022-11-23T01:32:37.8385493Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8385599Z                 'code': None,
2022-11-23T01:32:37.8385809Z                 'obj_weakref': <weakref at 0x7f7106deee90; to 'Tensor' at 0x7f7106720ef0>
2022-11-23T01:32:37.8386058Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8386121Z             }
2022-11-23T01:32:37.8386184Z             
2022-11-23T01:32:37.8386239Z  - 
2022-11-23T01:32:37.8386369Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.8386432Z             {
2022-11-23T01:32:37.8386568Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.8386737Z                 'code': ['___check_obj_id(model, 140123421442704)'],
2022-11-23T01:32:37.8386855Z                 'obj_weakref': None
2022-11-23T01:32:37.8387082Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.8387134Z             }
2022-11-23T01:32:37.8387196Z             
2022-11-23T01:32:37.8387263Z  - 
2022-11-23T01:32:37.8387382Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.8387484Z             {
2022-11-23T01:32:37.8387619Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.8387834Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.8387939Z                 'obj_weakref': None
2022-11-23T01:32:37.8388153Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.8388214Z             }
2022-11-23T01:32:37.8388276Z             
2022-11-23T01:32:37.8388369Z  - 
2022-11-23T01:32:37.8388501Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.8388565Z             {
2022-11-23T01:32:37.8388670Z                 'guard_types': None,
2022-11-23T01:32:37.8388777Z                 'code': None,
2022-11-23T01:32:37.8388893Z                 'obj_weakref': None
2022-11-23T01:32:37.8389014Z                 'guarded_class': None
2022-11-23T01:32:37.8389078Z             }
2022-11-23T01:32:37.8389141Z             
2022-11-23T01:32:37.8389401Z [2022-11-23 01:25:12,926] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 318
2022-11-23T01:32:37.8389761Z [2022-11-23 01:25:15,431] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eb/cebs3dpuecfm7ugllnj5tqhjsqbrzbpw6tax5lshr3uz354yfypf.py
2022-11-23T01:32:37.8390026Z [2022-11-23 01:25:15,432] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 318
2022-11-23T01:32:37.8390032Z 
2022-11-23T01:32:37.8390128Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.8390197Z import torch
2022-11-23T01:32:37.8390265Z import random
2022-11-23T01:32:37.8390377Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.8390496Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.8390501Z 
2022-11-23T01:32:37.8390577Z aten = torch.ops.aten
2022-11-23T01:32:37.8390697Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.8390786Z async_compile = AsyncCompile()
2022-11-23T01:32:37.8390794Z 
2022-11-23T01:32:37.8390798Z 
2022-11-23T01:32:37.8390928Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.8391131Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.8391244Z extern "C" void kernel(float* __restrict__ out_ptr0,
2022-11-23T01:32:37.8391340Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.8391398Z {
2022-11-23T01:32:37.8391459Z     {
2022-11-23T01:32:37.8391509Z         {
2022-11-23T01:32:37.8391611Z             auto tmp0 = static_cast<float>(1);
2022-11-23T01:32:37.8391690Z             out_ptr0[0] = tmp0;
2022-11-23T01:32:37.8391752Z         }
2022-11-23T01:32:37.8391813Z     }
2022-11-23T01:32:37.8391872Z     {
2022-11-23T01:32:37.8391921Z         {
2022-11-23T01:32:37.8392017Z             auto tmp0 = static_cast<float>(0);
2022-11-23T01:32:37.8392093Z             out_ptr1[0] = tmp0;
2022-11-23T01:32:37.8392153Z         }
2022-11-23T01:32:37.8392213Z     }
2022-11-23T01:32:37.8392274Z }
2022-11-23T01:32:37.8392351Z ''')
2022-11-23T01:32:37.8392355Z 
2022-11-23T01:32:37.8392359Z 
2022-11-23T01:32:37.8392435Z async_compile.wait(globals())
2022-11-23T01:32:37.8392504Z del async_compile
2022-11-23T01:32:37.8392509Z 
2022-11-23T01:32:37.8392577Z def call(args):
2022-11-23T01:32:37.8392645Z     arg0_1, = args
2022-11-23T01:32:37.8392714Z     args.clear()
2022-11-23T01:32:37.8392897Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8393077Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8393208Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.8393272Z     return (buf0, buf1, )
2022-11-23T01:32:37.8393276Z 
2022-11-23T01:32:37.8393281Z 
2022-11-23T01:32:37.8393355Z if __name__ == "__main__":
2022-11-23T01:32:37.8393469Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.8393589Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.8393813Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8393919Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.8393924Z 
2022-11-23T01:32:37.8393989Z ok (2.574s)
2022-11-23T01:32:37.8394304Z   test_nll_loss_forward_cpu (__main__.CpuTests) ... [2022-11-23 01:25:15,445] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.8394598Z [2022-11-23 01:25:15,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.8394816Z [2022-11-23 01:25:15,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.8395065Z [2022-11-23 01:25:15,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.8395350Z [2022-11-23 01:25:15,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.8395673Z [2022-11-23 01:25:15,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.8396002Z [2022-11-23 01:25:15,446] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64336f0, file "inductor/test_torchinductor.py", line 3342> 
2022-11-23T01:32:37.8396098Z  3343           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.8396206Z                2 LOAD_METHOD              1 (nll_loss_forward)
2022-11-23T01:32:37.8396299Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.8396375Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.8396468Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:37.8396555Z               10 LOAD_CONST               1 (1)
2022-11-23T01:32:37.8396693Z               12 LOAD_CONST               2 (-100)
2022-11-23T01:32:37.8396780Z               14 CALL_METHOD              5
2022-11-23T01:32:37.8396855Z               16 RETURN_VALUE
2022-11-23T01:32:37.8396917Z  
2022-11-23T01:32:37.8396922Z 
2022-11-23T01:32:37.8397323Z [2022-11-23 01:25:15,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3343
2022-11-23T01:32:37.8397528Z [2022-11-23 01:25:15,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.8397853Z [2022-11-23 01:25:15,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nll_loss_forward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8398124Z [2022-11-23 01:25:15,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.nll_loss_forward)]
2022-11-23T01:32:37.8398419Z [2022-11-23 01:25:15,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.nll_loss_forward), TensorVariable()]
2022-11-23T01:32:37.8398747Z [2022-11-23 01:25:15,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8399122Z [2022-11-23 01:25:15,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.8399533Z [2022-11-23 01:25:15,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -100 [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:37.8399985Z [2022-11-23 01:25:15,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8400233Z [2022-11-23 01:25:15,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.8400560Z [2022-11-23 01:25:15,469] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64336f0, file "inductor/test_torchinductor.py", line 3342>
2022-11-23T01:32:37.8400891Z [2022-11-23 01:25:15,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.8401114Z [2022-11-23 01:25:15,469] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.8401368Z [2022-11-23 01:25:15,471] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.8401652Z [2022-11-23 01:25:15,480] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.8401846Z [2022-11-23 01:25:15,480] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.8401979Z  __compiled_fn_326 <eval_with_key>.2033 opcode, name, target, args, kwargs
2022-11-23T01:32:37.8402071Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.8402158Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.8402377Z call_function, nll_loss_forward, aten.nll_loss_forward, (ex_0_, ex_1_, None, 1, -100), {}
2022-11-23T01:32:37.8402573Z call_function, getitem, <built-in function getitem>, (nll_loss_forward, 0), {}
2022-11-23T01:32:37.8402781Z call_function, getitem_1, <built-in function getitem>, (nll_loss_forward, 1), {}
2022-11-23T01:32:37.8402895Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:37.8402901Z 
2022-11-23T01:32:37.8403178Z [2022-11-23 01:25:15,481] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8403275Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.8403366Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8403460Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.8403552Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.8403616Z               8 RETURN_VALUE
2022-11-23T01:32:37.8403621Z 
2022-11-23T01:32:37.8403682Z  
2022-11-23T01:32:37.8403954Z [2022-11-23 01:25:15,481] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8404066Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_326)
2022-11-23T01:32:37.8404157Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8404247Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8404325Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.8404415Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8404491Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8404570Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.8404660Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.8404766Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.8404868Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8404957Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8405034Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.8405122Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8405215Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8405292Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.8405382Z              30 BUILD_TUPLE              2
2022-11-23T01:32:37.8405457Z              32 RETURN_VALUE
2022-11-23T01:32:37.8405463Z 
2022-11-23T01:32:37.8405524Z  
2022-11-23T01:32:37.8405706Z [2022-11-23 01:25:15,482] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.8405763Z  - 
2022-11-23T01:32:37.8405885Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.8405950Z             {
2022-11-23T01:32:37.8406092Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.8406279Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.8406399Z                 'obj_weakref': None
2022-11-23T01:32:37.8406626Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.8406678Z             }
2022-11-23T01:32:37.8406770Z             
2022-11-23T01:32:37.8406840Z  - 
2022-11-23T01:32:37.8406962Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.8407025Z             {
2022-11-23T01:32:37.8407166Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8407272Z                 'code': None,
2022-11-23T01:32:37.8407465Z                 'obj_weakref': <weakref at 0x7f71241b5890; to 'Tensor' at 0x7f7106dbf1d0>
2022-11-23T01:32:37.8407739Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8407803Z             }
2022-11-23T01:32:37.8407865Z             
2022-11-23T01:32:37.8407933Z  - 
2022-11-23T01:32:37.8408054Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.8408118Z             {
2022-11-23T01:32:37.8408246Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8408350Z                 'code': None,
2022-11-23T01:32:37.8408557Z                 'obj_weakref': <weakref at 0x7f71241b5410; to 'Tensor' at 0x7f71068ec650>
2022-11-23T01:32:37.8408805Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8408867Z             }
2022-11-23T01:32:37.8408929Z             
2022-11-23T01:32:37.8408996Z  - 
2022-11-23T01:32:37.8409113Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.8409175Z             {
2022-11-23T01:32:37.8409306Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.8409478Z                 'code': ['___check_obj_id(model, 140123422462464)'],
2022-11-23T01:32:37.8409594Z                 'obj_weakref': None
2022-11-23T01:32:37.8409820Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.8409883Z             }
2022-11-23T01:32:37.8409931Z             
2022-11-23T01:32:37.8409998Z  - 
2022-11-23T01:32:37.8410117Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.8410179Z             {
2022-11-23T01:32:37.8410314Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.8410528Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.8410643Z                 'obj_weakref': None
2022-11-23T01:32:37.8410847Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.8410909Z             }
2022-11-23T01:32:37.8410969Z             
2022-11-23T01:32:37.8411037Z  - 
2022-11-23T01:32:37.8411166Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.8411227Z             {
2022-11-23T01:32:37.8411343Z                 'guard_types': None,
2022-11-23T01:32:37.8411436Z                 'code': None,
2022-11-23T01:32:37.8411550Z                 'obj_weakref': None
2022-11-23T01:32:37.8411668Z                 'guarded_class': None
2022-11-23T01:32:37.8411730Z             }
2022-11-23T01:32:37.8411791Z             
2022-11-23T01:32:37.8412050Z [2022-11-23 01:25:15,500] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 319
2022-11-23T01:32:37.8412422Z [2022-11-23 01:25:18,041] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vi/cviojxip4tya6exltikfnwwo6jw6dspslowlmxwuphg2km5tgijj.py
2022-11-23T01:32:37.8412671Z [2022-11-23 01:25:18,041] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 319
2022-11-23T01:32:37.8412687Z 
2022-11-23T01:32:37.8412767Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.8412836Z import torch
2022-11-23T01:32:37.8412904Z import random
2022-11-23T01:32:37.8413016Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.8413135Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.8413140Z 
2022-11-23T01:32:37.8413216Z aten = torch.ops.aten
2022-11-23T01:32:37.8413349Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.8413428Z async_compile = AsyncCompile()
2022-11-23T01:32:37.8413432Z 
2022-11-23T01:32:37.8413476Z 
2022-11-23T01:32:37.8413597Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.8413800Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.8413918Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.8414019Z                        const long* __restrict__ in_ptr0,
2022-11-23T01:32:37.8414123Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.8414248Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.8414310Z {
2022-11-23T01:32:37.8414382Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T01:32:37.8414442Z     {
2022-11-23T01:32:37.8414504Z         {
2022-11-23T01:32:37.8414580Z             float tmp3 = 0;
2022-11-23T01:32:37.8414683Z             #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.8414746Z             {
2022-11-23T01:32:37.8414848Z                 #pragma omp for reduction(+:tmp3) 
2022-11-23T01:32:37.8414924Z                 for(long i0=0; i0<5; i0+=1)
2022-11-23T01:32:37.8414990Z                 {
2022-11-23T01:32:37.8415055Z                     {
2022-11-23T01:32:37.8415149Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.8415250Z                         auto tmp1 = in_ptr1[tmp0 + (5*i0)];
2022-11-23T01:32:37.8415378Z                         auto tmp2 = -tmp1;
2022-11-23T01:32:37.8415456Z                         tmp3 += tmp2;
2022-11-23T01:32:37.8415509Z                     }
2022-11-23T01:32:37.8415574Z                 }
2022-11-23T01:32:37.8415635Z             }
2022-11-23T01:32:37.8415712Z             out_ptr0[0] = tmp3;
2022-11-23T01:32:37.8415774Z         }
2022-11-23T01:32:37.8415835Z     }
2022-11-23T01:32:37.8415883Z     {
2022-11-23T01:32:37.8415944Z         {
2022-11-23T01:32:37.8416028Z             auto tmp0 = out_ptr0[0];
2022-11-23T01:32:37.8416125Z             auto tmp1 = static_cast<float>(5);
2022-11-23T01:32:37.8416207Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:37.8416286Z             in_out_ptr0[0] = tmp2;
2022-11-23T01:32:37.8416349Z         }
2022-11-23T01:32:37.8416398Z     }
2022-11-23T01:32:37.8416456Z     {
2022-11-23T01:32:37.8416517Z         {
2022-11-23T01:32:37.8416618Z             auto tmp0 = static_cast<float>(5.0);
2022-11-23T01:32:37.8416692Z             out_ptr1[0] = tmp0;
2022-11-23T01:32:37.8416752Z         }
2022-11-23T01:32:37.8416799Z     }
2022-11-23T01:32:37.8416859Z }
2022-11-23T01:32:37.8416934Z ''')
2022-11-23T01:32:37.8416939Z 
2022-11-23T01:32:37.8416944Z 
2022-11-23T01:32:37.8417034Z async_compile.wait(globals())
2022-11-23T01:32:37.8417104Z del async_compile
2022-11-23T01:32:37.8417108Z 
2022-11-23T01:32:37.8417178Z def call(args):
2022-11-23T01:32:37.8417253Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.8417323Z     args.clear()
2022-11-23T01:32:37.8417495Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8417577Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.8417755Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8417945Z     kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:37.8418011Z     del arg0_1
2022-11-23T01:32:37.8418075Z     del arg1_1
2022-11-23T01:32:37.8418153Z     return (buf1, buf2, )
2022-11-23T01:32:37.8418158Z 
2022-11-23T01:32:37.8418162Z 
2022-11-23T01:32:37.8418225Z if __name__ == "__main__":
2022-11-23T01:32:37.8418339Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.8418460Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.8418655Z     arg0_1 = rand_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8418841Z     arg1_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.8418953Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.8418958Z 
2022-11-23T01:32:37.8419026Z ok (2.611s)
2022-11-23T01:32:37.8419370Z   test_no_mega_fusion_during_lowering_cpu (__main__.CpuTests) ... [2022-11-23 01:25:18,129] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.8419670Z [2022-11-23 01:25:18,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.8419878Z [2022-11-23 01:25:18,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.8420157Z [2022-11-23 01:25:18,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.8420446Z [2022-11-23 01:25:18,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.8420767Z [2022-11-23 01:25:18,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.8421091Z [2022-11-23 01:25:18,131] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6415db0, file "inductor/test_torchinductor.py", line 2405> 
2022-11-23T01:32:37.8421187Z  2406           0 LOAD_FAST                0 (args)
2022-11-23T01:32:37.8421277Z                2 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8421354Z                4 BINARY_SUBSCR
2022-11-23T01:32:37.8421434Z                6 STORE_FAST               1 (x)
2022-11-23T01:32:37.8421450Z 
2022-11-23T01:32:37.8421531Z 2407           8 SETUP_LOOP              32 (to 42)
2022-11-23T01:32:37.8421623Z               10 LOAD_GLOBAL              0 (range)
2022-11-23T01:32:37.8421712Z               12 LOAD_DEREF               0 (n)
2022-11-23T01:32:37.8421801Z               14 CALL_FUNCTION            1
2022-11-23T01:32:37.8421870Z               16 GET_ITER
2022-11-23T01:32:37.8421960Z          >>   18 FOR_ITER                20 (to 40)
2022-11-23T01:32:37.8422046Z               20 STORE_FAST               2 (i)
2022-11-23T01:32:37.8422051Z 
2022-11-23T01:32:37.8422131Z 2408          22 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:37.8422223Z               24 LOAD_METHOD              2 (add)
2022-11-23T01:32:37.8422309Z               26 LOAD_FAST                1 (x)
2022-11-23T01:32:37.8422397Z               28 LOAD_FAST                0 (args)
2022-11-23T01:32:37.8422485Z               30 LOAD_FAST                2 (i)
2022-11-23T01:32:37.8422563Z               32 BINARY_SUBSCR
2022-11-23T01:32:37.8422649Z               34 CALL_METHOD              2
2022-11-23T01:32:37.8422726Z               36 STORE_FAST               1 (x)
2022-11-23T01:32:37.8422814Z               38 JUMP_ABSOLUTE           18
2022-11-23T01:32:37.8422890Z          >>   40 POP_BLOCK
2022-11-23T01:32:37.8422895Z 
2022-11-23T01:32:37.8422979Z 2409     >>   42 LOAD_FAST                1 (x)
2022-11-23T01:32:37.8423053Z               44 RETURN_VALUE
2022-11-23T01:32:37.8423113Z  
2022-11-23T01:32:37.8423118Z 
2022-11-23T01:32:37.8423385Z [2022-11-23 01:25:18,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2406
2022-11-23T01:32:37.8423598Z [2022-11-23 01:25:18,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args []
2022-11-23T01:32:37.8423822Z [2022-11-23 01:25:18,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()]
2022-11-23T01:32:37.8424106Z [2022-11-23 01:25:18,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8424344Z [2022-11-23 01:25:18,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.8424697Z [2022-11-23 01:25:18,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2407
2022-11-23T01:32:37.8424921Z [2022-11-23 01:25:18,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE SETUP_LOOP 42 []
2022-11-23T01:32:37.8425138Z [2022-11-23 01:25:18,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL range []
2022-11-23T01:32:37.8425383Z [2022-11-23 01:25:18,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF n [BuiltinVariable(range)]
2022-11-23T01:32:37.8425712Z [2022-11-23 01:25:18,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [BuiltinVariable(range), ConstantVariable(int)]
2022-11-23T01:32:37.8425950Z [2022-11-23 01:25:18,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [RangeVariable()]
2022-11-23T01:32:37.8426187Z [2022-11-23 01:25:18,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8426502Z [2022-11-23 01:25:18,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8426767Z [2022-11-23 01:25:18,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2408
2022-11-23T01:32:37.8427026Z [2022-11-23 01:25:18,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8427432Z [2022-11-23 01:25:18,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8427788Z [2022-11-23 01:25:18,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8428180Z [2022-11-23 01:25:18,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8428590Z [2022-11-23 01:25:18,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8429053Z [2022-11-23 01:25:18,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8429475Z [2022-11-23 01:25:18,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8429755Z [2022-11-23 01:25:18,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8430015Z [2022-11-23 01:25:18,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8430263Z [2022-11-23 01:25:18,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8430535Z [2022-11-23 01:25:18,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8430792Z [2022-11-23 01:25:18,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8431194Z [2022-11-23 01:25:18,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8431549Z [2022-11-23 01:25:18,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8431938Z [2022-11-23 01:25:18,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8432347Z [2022-11-23 01:25:18,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8432807Z [2022-11-23 01:25:18,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8433259Z [2022-11-23 01:25:18,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8433571Z [2022-11-23 01:25:18,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8433831Z [2022-11-23 01:25:18,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8434078Z [2022-11-23 01:25:18,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8434364Z [2022-11-23 01:25:18,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8434612Z [2022-11-23 01:25:18,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8435013Z [2022-11-23 01:25:18,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8435367Z [2022-11-23 01:25:18,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8435753Z [2022-11-23 01:25:18,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8436164Z [2022-11-23 01:25:18,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8436628Z [2022-11-23 01:25:18,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8437052Z [2022-11-23 01:25:18,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8437520Z [2022-11-23 01:25:18,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8437780Z [2022-11-23 01:25:18,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8438029Z [2022-11-23 01:25:18,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8438315Z [2022-11-23 01:25:18,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8438571Z [2022-11-23 01:25:18,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8438964Z [2022-11-23 01:25:18,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8439322Z [2022-11-23 01:25:18,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8439718Z [2022-11-23 01:25:18,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8440185Z [2022-11-23 01:25:18,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8440654Z [2022-11-23 01:25:18,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8441130Z [2022-11-23 01:25:18,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8441415Z [2022-11-23 01:25:18,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8441674Z [2022-11-23 01:25:18,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8441925Z [2022-11-23 01:25:18,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8442213Z [2022-11-23 01:25:18,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8442472Z [2022-11-23 01:25:18,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8442876Z [2022-11-23 01:25:18,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8443233Z [2022-11-23 01:25:18,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8443610Z [2022-11-23 01:25:18,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8444025Z [2022-11-23 01:25:18,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8444486Z [2022-11-23 01:25:18,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8444903Z [2022-11-23 01:25:18,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8445182Z [2022-11-23 01:25:18,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8445443Z [2022-11-23 01:25:18,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8445694Z [2022-11-23 01:25:18,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8445978Z [2022-11-23 01:25:18,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8446238Z [2022-11-23 01:25:18,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8446642Z [2022-11-23 01:25:18,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8446999Z [2022-11-23 01:25:18,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8447416Z [2022-11-23 01:25:18,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8447825Z [2022-11-23 01:25:18,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8448304Z [2022-11-23 01:25:18,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8448722Z [2022-11-23 01:25:18,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8449001Z [2022-11-23 01:25:18,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8449256Z [2022-11-23 01:25:18,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8449504Z [2022-11-23 01:25:18,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8449793Z [2022-11-23 01:25:18,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8450047Z [2022-11-23 01:25:18,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8450448Z [2022-11-23 01:25:18,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8450801Z [2022-11-23 01:25:18,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8451191Z [2022-11-23 01:25:18,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8451605Z [2022-11-23 01:25:18,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8452065Z [2022-11-23 01:25:18,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8452484Z [2022-11-23 01:25:18,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8452752Z [2022-11-23 01:25:18,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8453014Z [2022-11-23 01:25:18,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8453265Z [2022-11-23 01:25:18,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8453551Z [2022-11-23 01:25:18,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8453811Z [2022-11-23 01:25:18,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8454213Z [2022-11-23 01:25:18,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8454599Z [2022-11-23 01:25:18,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8455024Z [2022-11-23 01:25:18,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8455435Z [2022-11-23 01:25:18,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8455900Z [2022-11-23 01:25:18,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8456321Z [2022-11-23 01:25:18,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8456599Z [2022-11-23 01:25:18,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8456846Z [2022-11-23 01:25:18,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8457096Z [2022-11-23 01:25:18,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8457385Z [2022-11-23 01:25:18,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8457645Z [2022-11-23 01:25:18,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8458051Z [2022-11-23 01:25:18,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8458407Z [2022-11-23 01:25:18,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8458797Z [2022-11-23 01:25:18,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8459209Z [2022-11-23 01:25:18,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8459670Z [2022-11-23 01:25:18,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8460092Z [2022-11-23 01:25:18,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8460372Z [2022-11-23 01:25:18,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8460631Z [2022-11-23 01:25:18,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8460880Z [2022-11-23 01:25:18,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8461152Z [2022-11-23 01:25:18,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8461439Z [2022-11-23 01:25:18,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8461840Z [2022-11-23 01:25:18,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8462227Z [2022-11-23 01:25:18,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8462617Z [2022-11-23 01:25:18,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8463024Z [2022-11-23 01:25:18,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8463489Z [2022-11-23 01:25:18,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8463914Z [2022-11-23 01:25:18,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8464193Z [2022-11-23 01:25:18,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8464536Z [2022-11-23 01:25:18,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8464789Z [2022-11-23 01:25:18,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8465080Z [2022-11-23 01:25:18,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8465325Z [2022-11-23 01:25:18,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8465731Z [2022-11-23 01:25:18,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8466089Z [2022-11-23 01:25:18,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8466477Z [2022-11-23 01:25:18,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8466887Z [2022-11-23 01:25:18,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8467356Z [2022-11-23 01:25:18,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8467784Z [2022-11-23 01:25:18,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8468063Z [2022-11-23 01:25:18,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8468320Z [2022-11-23 01:25:18,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8468606Z [2022-11-23 01:25:18,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8468892Z [2022-11-23 01:25:18,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8469150Z [2022-11-23 01:25:18,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8469564Z [2022-11-23 01:25:18,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8469925Z [2022-11-23 01:25:18,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8470310Z [2022-11-23 01:25:18,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8470722Z [2022-11-23 01:25:18,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8471184Z [2022-11-23 01:25:18,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8471599Z [2022-11-23 01:25:18,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8471877Z [2022-11-23 01:25:18,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8472137Z [2022-11-23 01:25:18,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8472386Z [2022-11-23 01:25:18,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8472673Z [2022-11-23 01:25:18,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8472931Z [2022-11-23 01:25:18,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8473334Z [2022-11-23 01:25:18,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8473683Z [2022-11-23 01:25:18,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8474060Z [2022-11-23 01:25:18,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8474468Z [2022-11-23 01:25:18,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8474932Z [2022-11-23 01:25:18,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8475351Z [2022-11-23 01:25:18,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8475625Z [2022-11-23 01:25:18,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8475913Z [2022-11-23 01:25:18,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8476158Z [2022-11-23 01:25:18,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8476470Z [2022-11-23 01:25:18,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8476726Z [2022-11-23 01:25:18,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8477239Z [2022-11-23 01:25:18,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8477597Z [2022-11-23 01:25:18,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8477987Z [2022-11-23 01:25:18,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8478398Z [2022-11-23 01:25:18,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8478853Z [2022-11-23 01:25:18,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8479272Z [2022-11-23 01:25:18,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8479555Z [2022-11-23 01:25:18,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8479811Z [2022-11-23 01:25:18,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8480063Z [2022-11-23 01:25:18,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8480349Z [2022-11-23 01:25:18,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8480606Z [2022-11-23 01:25:18,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8481008Z [2022-11-23 01:25:18,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8481364Z [2022-11-23 01:25:18,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8481753Z [2022-11-23 01:25:18,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8482164Z [2022-11-23 01:25:18,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8482628Z [2022-11-23 01:25:18,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8483091Z [2022-11-23 01:25:18,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8483357Z [2022-11-23 01:25:18,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8483651Z [2022-11-23 01:25:18,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8483901Z [2022-11-23 01:25:18,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8484183Z [2022-11-23 01:25:18,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8484440Z [2022-11-23 01:25:18,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8484844Z [2022-11-23 01:25:18,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8485202Z [2022-11-23 01:25:18,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8485591Z [2022-11-23 01:25:18,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8485999Z [2022-11-23 01:25:18,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8486459Z [2022-11-23 01:25:18,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8486879Z [2022-11-23 01:25:18,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8487161Z [2022-11-23 01:25:18,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8487418Z [2022-11-23 01:25:18,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8487654Z [2022-11-23 01:25:18,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8487941Z [2022-11-23 01:25:18,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8488197Z [2022-11-23 01:25:18,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8488600Z [2022-11-23 01:25:18,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8488955Z [2022-11-23 01:25:18,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8489340Z [2022-11-23 01:25:18,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8489747Z [2022-11-23 01:25:18,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8490236Z [2022-11-23 01:25:18,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8490653Z [2022-11-23 01:25:18,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8490966Z [2022-11-23 01:25:18,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8491227Z [2022-11-23 01:25:18,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8491473Z [2022-11-23 01:25:18,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8491745Z [2022-11-23 01:25:18,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8492001Z [2022-11-23 01:25:18,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8492403Z [2022-11-23 01:25:18,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8492758Z [2022-11-23 01:25:18,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8493145Z [2022-11-23 01:25:18,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8493554Z [2022-11-23 01:25:18,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8494015Z [2022-11-23 01:25:18,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8494437Z [2022-11-23 01:25:18,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8494713Z [2022-11-23 01:25:18,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8494968Z [2022-11-23 01:25:18,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8495214Z [2022-11-23 01:25:18,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8495501Z [2022-11-23 01:25:18,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8495744Z [2022-11-23 01:25:18,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8496146Z [2022-11-23 01:25:18,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8496499Z [2022-11-23 01:25:18,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8496884Z [2022-11-23 01:25:18,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8497323Z [2022-11-23 01:25:18,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8497812Z [2022-11-23 01:25:18,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8498232Z [2022-11-23 01:25:18,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8498507Z [2022-11-23 01:25:18,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8498763Z [2022-11-23 01:25:18,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8499010Z [2022-11-23 01:25:18,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8499293Z [2022-11-23 01:25:18,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8499548Z [2022-11-23 01:25:18,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8499940Z [2022-11-23 01:25:18,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8500296Z [2022-11-23 01:25:18,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8500683Z [2022-11-23 01:25:18,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8501091Z [2022-11-23 01:25:18,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8501558Z [2022-11-23 01:25:18,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8501976Z [2022-11-23 01:25:18,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8502255Z [2022-11-23 01:25:18,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8502513Z [2022-11-23 01:25:18,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8502762Z [2022-11-23 01:25:18,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8503048Z [2022-11-23 01:25:18,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8503306Z [2022-11-23 01:25:18,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8503706Z [2022-11-23 01:25:18,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8504059Z [2022-11-23 01:25:18,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8504554Z [2022-11-23 01:25:18,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8505034Z [2022-11-23 01:25:18,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8505496Z [2022-11-23 01:25:18,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8505913Z [2022-11-23 01:25:18,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8506196Z [2022-11-23 01:25:18,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8506454Z [2022-11-23 01:25:18,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8506699Z [2022-11-23 01:25:18,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8506987Z [2022-11-23 01:25:18,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8507243Z [2022-11-23 01:25:18,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8507645Z [2022-11-23 01:25:18,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8508002Z [2022-11-23 01:25:18,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8508390Z [2022-11-23 01:25:18,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8508801Z [2022-11-23 01:25:18,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8509249Z [2022-11-23 01:25:18,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8509672Z [2022-11-23 01:25:18,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8509955Z [2022-11-23 01:25:18,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8510212Z [2022-11-23 01:25:18,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8510464Z [2022-11-23 01:25:18,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8510749Z [2022-11-23 01:25:18,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8511005Z [2022-11-23 01:25:18,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8511405Z [2022-11-23 01:25:18,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8511789Z [2022-11-23 01:25:18,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8512205Z [2022-11-23 01:25:18,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8512616Z [2022-11-23 01:25:18,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8513075Z [2022-11-23 01:25:18,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8513497Z [2022-11-23 01:25:18,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8513765Z [2022-11-23 01:25:18,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8514025Z [2022-11-23 01:25:18,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8514271Z [2022-11-23 01:25:18,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8514556Z [2022-11-23 01:25:18,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8514811Z [2022-11-23 01:25:18,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8515213Z [2022-11-23 01:25:18,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8515570Z [2022-11-23 01:25:18,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8515959Z [2022-11-23 01:25:18,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8516368Z [2022-11-23 01:25:18,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8516834Z [2022-11-23 01:25:18,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8517434Z [2022-11-23 01:25:18,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8517726Z [2022-11-23 01:25:18,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8517986Z [2022-11-23 01:25:18,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8518223Z [2022-11-23 01:25:18,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8518510Z [2022-11-23 01:25:18,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8518821Z [2022-11-23 01:25:18,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8519221Z [2022-11-23 01:25:18,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8519607Z [2022-11-23 01:25:18,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8519995Z [2022-11-23 01:25:18,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8520401Z [2022-11-23 01:25:18,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8520862Z [2022-11-23 01:25:18,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8521282Z [2022-11-23 01:25:18,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8521559Z [2022-11-23 01:25:18,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8521816Z [2022-11-23 01:25:18,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8522064Z [2022-11-23 01:25:18,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8522339Z [2022-11-23 01:25:18,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8522595Z [2022-11-23 01:25:18,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8522999Z [2022-11-23 01:25:18,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8523357Z [2022-11-23 01:25:18,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8523741Z [2022-11-23 01:25:18,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8524151Z [2022-11-23 01:25:18,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8524612Z [2022-11-23 01:25:18,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8525032Z [2022-11-23 01:25:18,265] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8525310Z [2022-11-23 01:25:18,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8525563Z [2022-11-23 01:25:18,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8525840Z [2022-11-23 01:25:18,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8526125Z [2022-11-23 01:25:18,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8526370Z [2022-11-23 01:25:18,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8526797Z [2022-11-23 01:25:18,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8527152Z [2022-11-23 01:25:18,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8527537Z [2022-11-23 01:25:18,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8527950Z [2022-11-23 01:25:18,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8528410Z [2022-11-23 01:25:18,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8528828Z [2022-11-23 01:25:18,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8529108Z [2022-11-23 01:25:18,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8529368Z [2022-11-23 01:25:18,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8529616Z [2022-11-23 01:25:18,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8529899Z [2022-11-23 01:25:18,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8530156Z [2022-11-23 01:25:18,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8530544Z [2022-11-23 01:25:18,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8530902Z [2022-11-23 01:25:18,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8531291Z [2022-11-23 01:25:18,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8531698Z [2022-11-23 01:25:18,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8532163Z [2022-11-23 01:25:18,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8532584Z [2022-11-23 01:25:18,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8532892Z [2022-11-23 01:25:18,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8533148Z [2022-11-23 01:25:18,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8533396Z [2022-11-23 01:25:18,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8533709Z [2022-11-23 01:25:18,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8533967Z [2022-11-23 01:25:18,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8534369Z [2022-11-23 01:25:18,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8534720Z [2022-11-23 01:25:18,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8535094Z [2022-11-23 01:25:18,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8535508Z [2022-11-23 01:25:18,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8535969Z [2022-11-23 01:25:18,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8536385Z [2022-11-23 01:25:18,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8536662Z [2022-11-23 01:25:18,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8536919Z [2022-11-23 01:25:18,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8537167Z [2022-11-23 01:25:18,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8537450Z [2022-11-23 01:25:18,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8537705Z [2022-11-23 01:25:18,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8538104Z [2022-11-23 01:25:18,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8538460Z [2022-11-23 01:25:18,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8538851Z [2022-11-23 01:25:18,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8539261Z [2022-11-23 01:25:18,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8539725Z [2022-11-23 01:25:18,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8540166Z [2022-11-23 01:25:18,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8540442Z [2022-11-23 01:25:18,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8540739Z [2022-11-23 01:25:18,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8540987Z [2022-11-23 01:25:18,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8541273Z [2022-11-23 01:25:18,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8541528Z [2022-11-23 01:25:18,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8541932Z [2022-11-23 01:25:18,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8542288Z [2022-11-23 01:25:18,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8542679Z [2022-11-23 01:25:18,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8543088Z [2022-11-23 01:25:18,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8543546Z [2022-11-23 01:25:18,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8543967Z [2022-11-23 01:25:18,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8544245Z [2022-11-23 01:25:18,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8544563Z [2022-11-23 01:25:18,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8544814Z [2022-11-23 01:25:18,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8545099Z [2022-11-23 01:25:18,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8545358Z [2022-11-23 01:25:18,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8545763Z [2022-11-23 01:25:18,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8546122Z [2022-11-23 01:25:18,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8546514Z [2022-11-23 01:25:18,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8546923Z [2022-11-23 01:25:18,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8547419Z [2022-11-23 01:25:18,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8547920Z [2022-11-23 01:25:18,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8548203Z [2022-11-23 01:25:18,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8548462Z [2022-11-23 01:25:18,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8548699Z [2022-11-23 01:25:18,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8548993Z [2022-11-23 01:25:18,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8549256Z [2022-11-23 01:25:18,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8549665Z [2022-11-23 01:25:18,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8550022Z [2022-11-23 01:25:18,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8550412Z [2022-11-23 01:25:18,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8550821Z [2022-11-23 01:25:18,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8551289Z [2022-11-23 01:25:18,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8551710Z [2022-11-23 01:25:18,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8551989Z [2022-11-23 01:25:18,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8552248Z [2022-11-23 01:25:18,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8552496Z [2022-11-23 01:25:18,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8552770Z [2022-11-23 01:25:18,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8553028Z [2022-11-23 01:25:18,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8553435Z [2022-11-23 01:25:18,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8553794Z [2022-11-23 01:25:18,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8554182Z [2022-11-23 01:25:18,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8554623Z [2022-11-23 01:25:18,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8555113Z [2022-11-23 01:25:18,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8555541Z [2022-11-23 01:25:18,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8555820Z [2022-11-23 01:25:18,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8556078Z [2022-11-23 01:25:18,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8556332Z [2022-11-23 01:25:18,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8556620Z [2022-11-23 01:25:18,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8556866Z [2022-11-23 01:25:18,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8557400Z [2022-11-23 01:25:18,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8557755Z [2022-11-23 01:25:18,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8558143Z [2022-11-23 01:25:18,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8558555Z [2022-11-23 01:25:18,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8559018Z [2022-11-23 01:25:18,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8559440Z [2022-11-23 01:25:18,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8559723Z [2022-11-23 01:25:18,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8559985Z [2022-11-23 01:25:18,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8560236Z [2022-11-23 01:25:18,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8560524Z [2022-11-23 01:25:18,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8560781Z [2022-11-23 01:25:18,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8561190Z [2022-11-23 01:25:18,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8561534Z [2022-11-23 01:25:18,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8561970Z [2022-11-23 01:25:18,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8562417Z [2022-11-23 01:25:18,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8562883Z [2022-11-23 01:25:18,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8563300Z [2022-11-23 01:25:18,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8563582Z [2022-11-23 01:25:18,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8563841Z [2022-11-23 01:25:18,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8564094Z [2022-11-23 01:25:18,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8564384Z [2022-11-23 01:25:18,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8564644Z [2022-11-23 01:25:18,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8565050Z [2022-11-23 01:25:18,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8565408Z [2022-11-23 01:25:18,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8565783Z [2022-11-23 01:25:18,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8566194Z [2022-11-23 01:25:18,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8566657Z [2022-11-23 01:25:18,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8567079Z [2022-11-23 01:25:18,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8567360Z [2022-11-23 01:25:18,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8567621Z [2022-11-23 01:25:18,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8567869Z [2022-11-23 01:25:18,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8568154Z [2022-11-23 01:25:18,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8568410Z [2022-11-23 01:25:18,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8568810Z [2022-11-23 01:25:18,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8569194Z [2022-11-23 01:25:18,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8569617Z [2022-11-23 01:25:18,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8570025Z [2022-11-23 01:25:18,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8570489Z [2022-11-23 01:25:18,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8570899Z [2022-11-23 01:25:18,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8571178Z [2022-11-23 01:25:18,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8571433Z [2022-11-23 01:25:18,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8571680Z [2022-11-23 01:25:18,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8571967Z [2022-11-23 01:25:18,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8572223Z [2022-11-23 01:25:18,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8572626Z [2022-11-23 01:25:18,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8572979Z [2022-11-23 01:25:18,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8573365Z [2022-11-23 01:25:18,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8573774Z [2022-11-23 01:25:18,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8574233Z [2022-11-23 01:25:18,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8574649Z [2022-11-23 01:25:18,307] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8574927Z [2022-11-23 01:25:18,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8575172Z [2022-11-23 01:25:18,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8575420Z [2022-11-23 01:25:18,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8575703Z [2022-11-23 01:25:18,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8575988Z [2022-11-23 01:25:18,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8576388Z [2022-11-23 01:25:18,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8576768Z [2022-11-23 01:25:18,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8577157Z [2022-11-23 01:25:18,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8577569Z [2022-11-23 01:25:18,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8578030Z [2022-11-23 01:25:18,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8578450Z [2022-11-23 01:25:18,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8578729Z [2022-11-23 01:25:18,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8578985Z [2022-11-23 01:25:18,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8579220Z [2022-11-23 01:25:18,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8579509Z [2022-11-23 01:25:18,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8579767Z [2022-11-23 01:25:18,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8580170Z [2022-11-23 01:25:18,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8580520Z [2022-11-23 01:25:18,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8580906Z [2022-11-23 01:25:18,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8581320Z [2022-11-23 01:25:18,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8581780Z [2022-11-23 01:25:18,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8582197Z [2022-11-23 01:25:18,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8582475Z [2022-11-23 01:25:18,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8582732Z [2022-11-23 01:25:18,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8583008Z [2022-11-23 01:25:18,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8583280Z [2022-11-23 01:25:18,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8583536Z [2022-11-23 01:25:18,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8583967Z [2022-11-23 01:25:18,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8584323Z [2022-11-23 01:25:18,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8584792Z [2022-11-23 01:25:18,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8585205Z [2022-11-23 01:25:18,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8585669Z [2022-11-23 01:25:18,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8586094Z [2022-11-23 01:25:18,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8586372Z [2022-11-23 01:25:18,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8586632Z [2022-11-23 01:25:18,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8586879Z [2022-11-23 01:25:18,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8587168Z [2022-11-23 01:25:18,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8587413Z [2022-11-23 01:25:18,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8587817Z [2022-11-23 01:25:18,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8588170Z [2022-11-23 01:25:18,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8588564Z [2022-11-23 01:25:18,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8588981Z [2022-11-23 01:25:18,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8589437Z [2022-11-23 01:25:18,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8589855Z [2022-11-23 01:25:18,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8590168Z [2022-11-23 01:25:18,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8590426Z [2022-11-23 01:25:18,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8590676Z [2022-11-23 01:25:18,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8591000Z [2022-11-23 01:25:18,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8591257Z [2022-11-23 01:25:18,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8591659Z [2022-11-23 01:25:18,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8592006Z [2022-11-23 01:25:18,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8592392Z [2022-11-23 01:25:18,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8592800Z [2022-11-23 01:25:18,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8593261Z [2022-11-23 01:25:18,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8593682Z [2022-11-23 01:25:18,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8593962Z [2022-11-23 01:25:18,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8594218Z [2022-11-23 01:25:18,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8594468Z [2022-11-23 01:25:18,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8594753Z [2022-11-23 01:25:18,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8595011Z [2022-11-23 01:25:18,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8595412Z [2022-11-23 01:25:18,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8595764Z [2022-11-23 01:25:18,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8596156Z [2022-11-23 01:25:18,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8596555Z [2022-11-23 01:25:18,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8597017Z [2022-11-23 01:25:18,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8597647Z [2022-11-23 01:25:18,326] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8597929Z [2022-11-23 01:25:18,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8598242Z [2022-11-23 01:25:18,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8598494Z [2022-11-23 01:25:18,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8598780Z [2022-11-23 01:25:18,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8599037Z [2022-11-23 01:25:18,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8599443Z [2022-11-23 01:25:18,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8599801Z [2022-11-23 01:25:18,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8600192Z [2022-11-23 01:25:18,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8600604Z [2022-11-23 01:25:18,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8601065Z [2022-11-23 01:25:18,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8601476Z [2022-11-23 01:25:18,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8601758Z [2022-11-23 01:25:18,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8602015Z [2022-11-23 01:25:18,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8602264Z [2022-11-23 01:25:18,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8602551Z [2022-11-23 01:25:18,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8602812Z [2022-11-23 01:25:18,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8603216Z [2022-11-23 01:25:18,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8603572Z [2022-11-23 01:25:18,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8603961Z [2022-11-23 01:25:18,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8604376Z [2022-11-23 01:25:18,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8604874Z [2022-11-23 01:25:18,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8605320Z [2022-11-23 01:25:18,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8605598Z [2022-11-23 01:25:18,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8605844Z [2022-11-23 01:25:18,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8606093Z [2022-11-23 01:25:18,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8606380Z [2022-11-23 01:25:18,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8606635Z [2022-11-23 01:25:18,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8607037Z [2022-11-23 01:25:18,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8607391Z [2022-11-23 01:25:18,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8607776Z [2022-11-23 01:25:18,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8608185Z [2022-11-23 01:25:18,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8608647Z [2022-11-23 01:25:18,334] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8609068Z [2022-11-23 01:25:18,335] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8609348Z [2022-11-23 01:25:18,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8609607Z [2022-11-23 01:25:18,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8609846Z [2022-11-23 01:25:18,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8610133Z [2022-11-23 01:25:18,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8610391Z [2022-11-23 01:25:18,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8610794Z [2022-11-23 01:25:18,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8611146Z [2022-11-23 01:25:18,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8611531Z [2022-11-23 01:25:18,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8611971Z [2022-11-23 01:25:18,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8612459Z [2022-11-23 01:25:18,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8612877Z [2022-11-23 01:25:18,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8613155Z [2022-11-23 01:25:18,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8613414Z [2022-11-23 01:25:18,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8613658Z [2022-11-23 01:25:18,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8613931Z [2022-11-23 01:25:18,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8614187Z [2022-11-23 01:25:18,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()]
2022-11-23T01:32:37.8614584Z [2022-11-23 01:25:18,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8614940Z [2022-11-23 01:25:18,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8615329Z [2022-11-23 01:25:18,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8615737Z [2022-11-23 01:25:18,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.8616200Z [2022-11-23 01:25:18,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8616619Z [2022-11-23 01:25:18,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(<built-in method add of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8616901Z [2022-11-23 01:25:18,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8617158Z [2022-11-23 01:25:18,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()]
2022-11-23T01:32:37.8617404Z [2022-11-23 01:25:18,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()]
2022-11-23T01:32:37.8617620Z [2022-11-23 01:25:18,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_BLOCK None []
2022-11-23T01:32:37.8617874Z [2022-11-23 01:25:18,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2409
2022-11-23T01:32:37.8618081Z [2022-11-23 01:25:18,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.8618323Z [2022-11-23 01:25:18,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.8618651Z [2022-11-23 01:25:18,343] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6415db0, file "inductor/test_torchinductor.py", line 2405>
2022-11-23T01:32:37.8618952Z [2022-11-23 01:25:18,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.8619183Z [2022-11-23 01:25:18,343] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.8619463Z [2022-11-23 01:25:18,353] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.8619716Z [2022-11-23 01:25:18,429] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.8619904Z [2022-11-23 01:25:18,429] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.8620026Z  __compiled_fn_327 <eval_with_key>.2039 opcode, name, target, args, kwargs
2022-11-23T01:32:37.8620116Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.8620203Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.8620287Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.8620375Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:37.8620458Z placeholder, ex_4_, ex_4_, (), {}
2022-11-23T01:32:37.8620542Z placeholder, ex_5_, ex_5_, (), {}
2022-11-23T01:32:37.8620611Z placeholder, ex_6_, ex_6_, (), {}
2022-11-23T01:32:37.8620695Z placeholder, ex_7_, ex_7_, (), {}
2022-11-23T01:32:37.8620779Z placeholder, ex_8_, ex_8_, (), {}
2022-11-23T01:32:37.8620860Z placeholder, ex_9_, ex_9_, (), {}
2022-11-23T01:32:37.8620949Z placeholder, ex_10_, ex_10_, (), {}
2022-11-23T01:32:37.8621033Z placeholder, ex_11_, ex_11_, (), {}
2022-11-23T01:32:37.8621116Z placeholder, ex_12_, ex_12_, (), {}
2022-11-23T01:32:37.8621188Z placeholder, ex_13_, ex_13_, (), {}
2022-11-23T01:32:37.8621269Z placeholder, ex_14_, ex_14_, (), {}
2022-11-23T01:32:37.8621352Z placeholder, ex_15_, ex_15_, (), {}
2022-11-23T01:32:37.8621434Z placeholder, ex_16_, ex_16_, (), {}
2022-11-23T01:32:37.8621516Z placeholder, ex_17_, ex_17_, (), {}
2022-11-23T01:32:37.8621597Z placeholder, ex_18_, ex_18_, (), {}
2022-11-23T01:32:37.8621681Z placeholder, ex_19_, ex_19_, (), {}
2022-11-23T01:32:37.8621751Z placeholder, ex_20_, ex_20_, (), {}
2022-11-23T01:32:37.8621833Z placeholder, ex_21_, ex_21_, (), {}
2022-11-23T01:32:37.8621916Z placeholder, ex_22_, ex_22_, (), {}
2022-11-23T01:32:37.8621998Z placeholder, ex_23_, ex_23_, (), {}
2022-11-23T01:32:37.8622080Z placeholder, ex_24_, ex_24_, (), {}
2022-11-23T01:32:37.8622163Z placeholder, ex_25_, ex_25_, (), {}
2022-11-23T01:32:37.8622246Z placeholder, ex_26_, ex_26_, (), {}
2022-11-23T01:32:37.8622315Z placeholder, ex_27_, ex_27_, (), {}
2022-11-23T01:32:37.8622397Z placeholder, ex_28_, ex_28_, (), {}
2022-11-23T01:32:37.8622479Z placeholder, ex_29_, ex_29_, (), {}
2022-11-23T01:32:37.8622561Z placeholder, ex_30_, ex_30_, (), {}
2022-11-23T01:32:37.8622645Z placeholder, ex_31_, ex_31_, (), {}
2022-11-23T01:32:37.8622727Z placeholder, ex_32_, ex_32_, (), {}
2022-11-23T01:32:37.8622809Z placeholder, ex_33_, ex_33_, (), {}
2022-11-23T01:32:37.8622882Z placeholder, ex_34_, ex_34_, (), {}
2022-11-23T01:32:37.8622963Z placeholder, ex_35_, ex_35_, (), {}
2022-11-23T01:32:37.8623045Z placeholder, ex_36_, ex_36_, (), {}
2022-11-23T01:32:37.8623131Z placeholder, ex_37_, ex_37_, (), {}
2022-11-23T01:32:37.8623213Z placeholder, ex_38_, ex_38_, (), {}
2022-11-23T01:32:37.8623295Z placeholder, ex_39_, ex_39_, (), {}
2022-11-23T01:32:37.8623377Z placeholder, ex_40_, ex_40_, (), {}
2022-11-23T01:32:37.8623447Z placeholder, ex_41_, ex_41_, (), {}
2022-11-23T01:32:37.8623531Z placeholder, ex_42_, ex_42_, (), {}
2022-11-23T01:32:37.8623612Z placeholder, ex_43_, ex_43_, (), {}
2022-11-23T01:32:37.8623694Z placeholder, ex_44_, ex_44_, (), {}
2022-11-23T01:32:37.8623777Z placeholder, ex_45_, ex_45_, (), {}
2022-11-23T01:32:37.8623857Z placeholder, ex_46_, ex_46_, (), {}
2022-11-23T01:32:37.8623939Z placeholder, ex_47_, ex_47_, (), {}
2022-11-23T01:32:37.8624008Z placeholder, ex_48_, ex_48_, (), {}
2022-11-23T01:32:37.8624091Z placeholder, ex_49_, ex_49_, (), {}
2022-11-23T01:32:37.8624353Z call_function, add, <built-in method add of type object at 0x7f71f2abebc0>, (ex_0_, ex_0_), {}
2022-11-23T01:32:37.8624669Z call_function, add_1, <built-in method add of type object at 0x7f71f2abebc0>, (add, ex_1_), {}
2022-11-23T01:32:37.8624905Z call_function, add_2, <built-in method add of type object at 0x7f71f2abebc0>, (add_1, ex_2_), {}
2022-11-23T01:32:37.8625136Z call_function, add_3, <built-in method add of type object at 0x7f71f2abebc0>, (add_2, ex_3_), {}
2022-11-23T01:32:37.8625395Z call_function, add_4, <built-in method add of type object at 0x7f71f2abebc0>, (add_3, ex_4_), {}
2022-11-23T01:32:37.8625626Z call_function, add_5, <built-in method add of type object at 0x7f71f2abebc0>, (add_4, ex_5_), {}
2022-11-23T01:32:37.8625839Z call_function, add_6, <built-in method add of type object at 0x7f71f2abebc0>, (add_5, ex_6_), {}
2022-11-23T01:32:37.8626065Z call_function, add_7, <built-in method add of type object at 0x7f71f2abebc0>, (add_6, ex_7_), {}
2022-11-23T01:32:37.8626294Z call_function, add_8, <built-in method add of type object at 0x7f71f2abebc0>, (add_7, ex_8_), {}
2022-11-23T01:32:37.8626520Z call_function, add_9, <built-in method add of type object at 0x7f71f2abebc0>, (add_8, ex_9_), {}
2022-11-23T01:32:37.8626754Z call_function, add_10, <built-in method add of type object at 0x7f71f2abebc0>, (add_9, ex_10_), {}
2022-11-23T01:32:37.8626987Z call_function, add_11, <built-in method add of type object at 0x7f71f2abebc0>, (add_10, ex_11_), {}
2022-11-23T01:32:37.8627217Z call_function, add_12, <built-in method add of type object at 0x7f71f2abebc0>, (add_11, ex_12_), {}
2022-11-23T01:32:37.8627442Z call_function, add_13, <built-in method add of type object at 0x7f71f2abebc0>, (add_12, ex_13_), {}
2022-11-23T01:32:37.8627665Z call_function, add_14, <built-in method add of type object at 0x7f71f2abebc0>, (add_13, ex_14_), {}
2022-11-23T01:32:37.8627874Z call_function, add_15, <built-in method add of type object at 0x7f71f2abebc0>, (add_14, ex_15_), {}
2022-11-23T01:32:37.8628098Z call_function, add_16, <built-in method add of type object at 0x7f71f2abebc0>, (add_15, ex_16_), {}
2022-11-23T01:32:37.8628320Z call_function, add_17, <built-in method add of type object at 0x7f71f2abebc0>, (add_16, ex_17_), {}
2022-11-23T01:32:37.8628542Z call_function, add_18, <built-in method add of type object at 0x7f71f2abebc0>, (add_17, ex_18_), {}
2022-11-23T01:32:37.8628761Z call_function, add_19, <built-in method add of type object at 0x7f71f2abebc0>, (add_18, ex_19_), {}
2022-11-23T01:32:37.8628986Z call_function, add_20, <built-in method add of type object at 0x7f71f2abebc0>, (add_19, ex_20_), {}
2022-11-23T01:32:37.8629209Z call_function, add_21, <built-in method add of type object at 0x7f71f2abebc0>, (add_20, ex_21_), {}
2022-11-23T01:32:37.8629433Z call_function, add_22, <built-in method add of type object at 0x7f71f2abebc0>, (add_21, ex_22_), {}
2022-11-23T01:32:37.8629642Z call_function, add_23, <built-in method add of type object at 0x7f71f2abebc0>, (add_22, ex_23_), {}
2022-11-23T01:32:37.8629866Z call_function, add_24, <built-in method add of type object at 0x7f71f2abebc0>, (add_23, ex_24_), {}
2022-11-23T01:32:37.8630089Z call_function, add_25, <built-in method add of type object at 0x7f71f2abebc0>, (add_24, ex_25_), {}
2022-11-23T01:32:37.8630312Z call_function, add_26, <built-in method add of type object at 0x7f71f2abebc0>, (add_25, ex_26_), {}
2022-11-23T01:32:37.8630534Z call_function, add_27, <built-in method add of type object at 0x7f71f2abebc0>, (add_26, ex_27_), {}
2022-11-23T01:32:37.8630759Z call_function, add_28, <built-in method add of type object at 0x7f71f2abebc0>, (add_27, ex_28_), {}
2022-11-23T01:32:37.8630983Z call_function, add_29, <built-in method add of type object at 0x7f71f2abebc0>, (add_28, ex_29_), {}
2022-11-23T01:32:37.8631204Z call_function, add_30, <built-in method add of type object at 0x7f71f2abebc0>, (add_29, ex_30_), {}
2022-11-23T01:32:37.8631427Z call_function, add_31, <built-in method add of type object at 0x7f71f2abebc0>, (add_30, ex_31_), {}
2022-11-23T01:32:37.8631665Z call_function, add_32, <built-in method add of type object at 0x7f71f2abebc0>, (add_31, ex_32_), {}
2022-11-23T01:32:37.8631888Z call_function, add_33, <built-in method add of type object at 0x7f71f2abebc0>, (add_32, ex_33_), {}
2022-11-23T01:32:37.8632109Z call_function, add_34, <built-in method add of type object at 0x7f71f2abebc0>, (add_33, ex_34_), {}
2022-11-23T01:32:37.8632358Z call_function, add_35, <built-in method add of type object at 0x7f71f2abebc0>, (add_34, ex_35_), {}
2022-11-23T01:32:37.8632581Z call_function, add_36, <built-in method add of type object at 0x7f71f2abebc0>, (add_35, ex_36_), {}
2022-11-23T01:32:37.8632806Z call_function, add_37, <built-in method add of type object at 0x7f71f2abebc0>, (add_36, ex_37_), {}
2022-11-23T01:32:37.8633028Z call_function, add_38, <built-in method add of type object at 0x7f71f2abebc0>, (add_37, ex_38_), {}
2022-11-23T01:32:37.8633250Z call_function, add_39, <built-in method add of type object at 0x7f71f2abebc0>, (add_38, ex_39_), {}
2022-11-23T01:32:37.8633473Z call_function, add_40, <built-in method add of type object at 0x7f71f2abebc0>, (add_39, ex_40_), {}
2022-11-23T01:32:37.8633682Z call_function, add_41, <built-in method add of type object at 0x7f71f2abebc0>, (add_40, ex_41_), {}
2022-11-23T01:32:37.8633904Z call_function, add_42, <built-in method add of type object at 0x7f71f2abebc0>, (add_41, ex_42_), {}
2022-11-23T01:32:37.8634128Z call_function, add_43, <built-in method add of type object at 0x7f71f2abebc0>, (add_42, ex_43_), {}
2022-11-23T01:32:37.8634352Z call_function, add_44, <built-in method add of type object at 0x7f71f2abebc0>, (add_43, ex_44_), {}
2022-11-23T01:32:37.8634574Z call_function, add_45, <built-in method add of type object at 0x7f71f2abebc0>, (add_44, ex_45_), {}
2022-11-23T01:32:37.8634794Z call_function, add_46, <built-in method add of type object at 0x7f71f2abebc0>, (add_45, ex_46_), {}
2022-11-23T01:32:37.8635018Z call_function, add_47, <built-in method add of type object at 0x7f71f2abebc0>, (add_46, ex_47_), {}
2022-11-23T01:32:37.8635242Z call_function, add_48, <built-in method add of type object at 0x7f71f2abebc0>, (add_47, ex_48_), {}
2022-11-23T01:32:37.8635465Z call_function, add_49, <built-in method add of type object at 0x7f71f2abebc0>, (add_48, ex_49_), {}
2022-11-23T01:32:37.8635550Z output, output, output, ((add_49,),), {}
2022-11-23T01:32:37.8635565Z 
2022-11-23T01:32:37.8635850Z [2022-11-23 01:25:18,432] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8635946Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.8636039Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8636134Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.8636226Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.8636303Z               8 RETURN_VALUE
2022-11-23T01:32:37.8636308Z 
2022-11-23T01:32:37.8636373Z  
2022-11-23T01:32:37.8636634Z [2022-11-23 01:25:18,433] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8636745Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_327)
2022-11-23T01:32:37.8636837Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8636926Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8637005Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.8637095Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8637281Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8637344Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.8637430Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8637516Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.8637592Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.8637679Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8637764Z              22 LOAD_CONST               4 (3)
2022-11-23T01:32:37.8637838Z              24 BINARY_SUBSCR
2022-11-23T01:32:37.8637955Z              26 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8638043Z              28 LOAD_CONST               5 (4)
2022-11-23T01:32:37.8638118Z              30 BINARY_SUBSCR
2022-11-23T01:32:37.8638204Z              32 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8638289Z              34 LOAD_CONST               6 (5)
2022-11-23T01:32:37.8638364Z              36 BINARY_SUBSCR
2022-11-23T01:32:37.8638450Z              38 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8638567Z              40 LOAD_CONST               7 (6)
2022-11-23T01:32:37.8638641Z              42 BINARY_SUBSCR
2022-11-23T01:32:37.8638725Z              44 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8638807Z              46 LOAD_CONST               8 (7)
2022-11-23T01:32:37.8638880Z              48 BINARY_SUBSCR
2022-11-23T01:32:37.8638964Z              50 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8639046Z              52 LOAD_CONST               9 (8)
2022-11-23T01:32:37.8639110Z              54 BINARY_SUBSCR
2022-11-23T01:32:37.8639193Z              56 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8639276Z              58 LOAD_CONST              10 (9)
2022-11-23T01:32:37.8639349Z              60 BINARY_SUBSCR
2022-11-23T01:32:37.8639433Z              62 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8639519Z              64 LOAD_CONST              11 (10)
2022-11-23T01:32:37.8639593Z              66 BINARY_SUBSCR
2022-11-23T01:32:37.8639667Z              68 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8639754Z              70 LOAD_CONST              12 (11)
2022-11-23T01:32:37.8639828Z              72 BINARY_SUBSCR
2022-11-23T01:32:37.8639913Z              74 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8639999Z              76 LOAD_CONST              13 (12)
2022-11-23T01:32:37.8640074Z              78 BINARY_SUBSCR
2022-11-23T01:32:37.8640159Z              80 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8640230Z              82 LOAD_CONST              14 (13)
2022-11-23T01:32:37.8640308Z              84 BINARY_SUBSCR
2022-11-23T01:32:37.8640392Z              86 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8640475Z              88 LOAD_CONST              15 (14)
2022-11-23T01:32:37.8640548Z              90 BINARY_SUBSCR
2022-11-23T01:32:37.8640632Z              92 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8640714Z              94 LOAD_CONST              16 (15)
2022-11-23T01:32:37.8640776Z              96 BINARY_SUBSCR
2022-11-23T01:32:37.8640861Z              98 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8640943Z             100 LOAD_CONST              17 (16)
2022-11-23T01:32:37.8641016Z             102 BINARY_SUBSCR
2022-11-23T01:32:37.8641098Z             104 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8641181Z             106 LOAD_CONST              18 (17)
2022-11-23T01:32:37.8641253Z             108 BINARY_SUBSCR
2022-11-23T01:32:37.8641325Z             110 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8641409Z             112 LOAD_CONST              19 (18)
2022-11-23T01:32:37.8641481Z             114 BINARY_SUBSCR
2022-11-23T01:32:37.8641563Z             116 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8641647Z             118 LOAD_CONST              20 (19)
2022-11-23T01:32:37.8641720Z             120 BINARY_SUBSCR
2022-11-23T01:32:37.8641804Z             122 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8641887Z             124 LOAD_CONST              21 (20)
2022-11-23T01:32:37.8641949Z             126 BINARY_SUBSCR
2022-11-23T01:32:37.8642031Z             128 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8642114Z             130 LOAD_CONST              22 (21)
2022-11-23T01:32:37.8642187Z             132 BINARY_SUBSCR
2022-11-23T01:32:37.8642270Z             134 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8642352Z             136 LOAD_CONST              23 (22)
2022-11-23T01:32:37.8642425Z             138 BINARY_SUBSCR
2022-11-23T01:32:37.8642496Z             140 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8642608Z             142 LOAD_CONST              24 (23)
2022-11-23T01:32:37.8642683Z             144 BINARY_SUBSCR
2022-11-23T01:32:37.8642767Z             146 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8642849Z             148 LOAD_CONST              25 (24)
2022-11-23T01:32:37.8642924Z             150 BINARY_SUBSCR
2022-11-23T01:32:37.8643007Z             152 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8643104Z             154 LOAD_CONST              26 (25)
2022-11-23T01:32:37.8643177Z             156 BINARY_SUBSCR
2022-11-23T01:32:37.8643260Z             158 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8643343Z             160 LOAD_CONST              27 (26)
2022-11-23T01:32:37.8643416Z             162 BINARY_SUBSCR
2022-11-23T01:32:37.8643498Z             164 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8643641Z             166 LOAD_CONST              28 (27)
2022-11-23T01:32:37.8643701Z             168 BINARY_SUBSCR
2022-11-23T01:32:37.8643789Z             170 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8643873Z             172 LOAD_CONST              29 (28)
2022-11-23T01:32:37.8643947Z             174 BINARY_SUBSCR
2022-11-23T01:32:37.8644029Z             176 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8644112Z             178 LOAD_CONST              30 (29)
2022-11-23T01:32:37.8644186Z             180 BINARY_SUBSCR
2022-11-23T01:32:37.8644257Z             182 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8644341Z             184 LOAD_CONST              31 (30)
2022-11-23T01:32:37.8644414Z             186 BINARY_SUBSCR
2022-11-23T01:32:37.8644496Z             188 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8644578Z             190 LOAD_CONST              32 (31)
2022-11-23T01:32:37.8644652Z             192 BINARY_SUBSCR
2022-11-23T01:32:37.8644734Z             194 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8644805Z             196 LOAD_CONST              33 (32)
2022-11-23T01:32:37.8644878Z             198 BINARY_SUBSCR
2022-11-23T01:32:37.8644964Z             200 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8645048Z             202 LOAD_CONST              34 (33)
2022-11-23T01:32:37.8645124Z             204 BINARY_SUBSCR
2022-11-23T01:32:37.8645206Z             206 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8645288Z             208 LOAD_CONST              35 (34)
2022-11-23T01:32:37.8645349Z             210 BINARY_SUBSCR
2022-11-23T01:32:37.8645433Z             212 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8645516Z             214 LOAD_CONST              36 (35)
2022-11-23T01:32:37.8645590Z             216 BINARY_SUBSCR
2022-11-23T01:32:37.8645673Z             218 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8645756Z             220 LOAD_CONST              37 (36)
2022-11-23T01:32:37.8645829Z             222 BINARY_SUBSCR
2022-11-23T01:32:37.8645900Z             224 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8645982Z             226 LOAD_CONST              38 (37)
2022-11-23T01:32:37.8646060Z             228 BINARY_SUBSCR
2022-11-23T01:32:37.8646143Z             230 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8646226Z             232 LOAD_CONST              39 (38)
2022-11-23T01:32:37.8646298Z             234 BINARY_SUBSCR
2022-11-23T01:32:37.8646381Z             236 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8646453Z             238 LOAD_CONST              40 (39)
2022-11-23T01:32:37.8646525Z             240 BINARY_SUBSCR
2022-11-23T01:32:37.8646609Z             242 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8646693Z             244 LOAD_CONST              41 (40)
2022-11-23T01:32:37.8646765Z             246 BINARY_SUBSCR
2022-11-23T01:32:37.8646848Z             248 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8646932Z             250 LOAD_CONST              42 (41)
2022-11-23T01:32:37.8646993Z             252 BINARY_SUBSCR
2022-11-23T01:32:37.8647075Z             254 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8647188Z             256 LOAD_CONST              43 (42)
2022-11-23T01:32:37.8647260Z             258 BINARY_SUBSCR
2022-11-23T01:32:37.8647344Z             260 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8647427Z             262 LOAD_CONST              44 (43)
2022-11-23T01:32:37.8647499Z             264 BINARY_SUBSCR
2022-11-23T01:32:37.8647570Z             266 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8647654Z             268 LOAD_CONST              45 (44)
2022-11-23T01:32:37.8647753Z             270 BINARY_SUBSCR
2022-11-23T01:32:37.8647837Z             272 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8647921Z             274 LOAD_CONST              46 (45)
2022-11-23T01:32:37.8647993Z             276 BINARY_SUBSCR
2022-11-23T01:32:37.8648076Z             278 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8648147Z             280 LOAD_CONST              47 (46)
2022-11-23T01:32:37.8648219Z             282 BINARY_SUBSCR
2022-11-23T01:32:37.8648303Z             284 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8648388Z             286 LOAD_CONST              48 (47)
2022-11-23T01:32:37.8648461Z             288 BINARY_SUBSCR
2022-11-23T01:32:37.8648544Z             290 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8648627Z             292 LOAD_CONST              49 (48)
2022-11-23T01:32:37.8648687Z             294 BINARY_SUBSCR
2022-11-23T01:32:37.8648769Z             296 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8648854Z             298 LOAD_CONST              50 (49)
2022-11-23T01:32:37.8648926Z             300 BINARY_SUBSCR
2022-11-23T01:32:37.8649013Z             302 CALL_FUNCTION           50
2022-11-23T01:32:37.8649117Z             304 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.8649246Z             306 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:37.8649331Z             308 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:37.8649425Z             310 CALL_FUNCTION            0
2022-11-23T01:32:37.8649523Z             312 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:37.8649623Z             314 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8649712Z             316 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8649787Z             318 BINARY_SUBSCR
2022-11-23T01:32:37.8649878Z             320 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.8649976Z             322 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:37.8650053Z             324 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8650127Z             326 BINARY_SUBSCR
2022-11-23T01:32:37.8650226Z             328 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:37.8650315Z             330 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.8650410Z             332 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:37.8650496Z             334 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8650570Z             336 BINARY_SUBSCR
2022-11-23T01:32:37.8650656Z             338 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:37.8650731Z             340 RETURN_VALUE
2022-11-23T01:32:37.8650739Z 
2022-11-23T01:32:37.8650801Z  
2022-11-23T01:32:37.8650999Z [2022-11-23 01:25:18,438] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.8651068Z  - 
2022-11-23T01:32:37.8651185Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.8651248Z             {
2022-11-23T01:32:37.8651375Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.8651565Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 50'],
2022-11-23T01:32:37.8651684Z                 'obj_weakref': None
2022-11-23T01:32:37.8651908Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.8651973Z             }
2022-11-23T01:32:37.8652039Z             
2022-11-23T01:32:37.8652108Z  - 
2022-11-23T01:32:37.8652220Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.8652283Z             {
2022-11-23T01:32:37.8652457Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8652562Z                 'code': None,
2022-11-23T01:32:37.8652771Z                 'obj_weakref': <weakref at 0x7f70f2d95bf0; to 'Tensor' at 0x7f71062acc50>
2022-11-23T01:32:37.8653019Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8653081Z             }
2022-11-23T01:32:37.8653131Z             
2022-11-23T01:32:37.8653197Z  - 
2022-11-23T01:32:37.8653351Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.8653413Z             {
2022-11-23T01:32:37.8653556Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8653661Z                 'code': None,
2022-11-23T01:32:37.8653867Z                 'obj_weakref': <weakref at 0x7f7106c440b0; to 'Tensor' at 0x7f71300bec50>
2022-11-23T01:32:37.8654101Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8654166Z             }
2022-11-23T01:32:37.8654228Z             
2022-11-23T01:32:37.8654299Z  - 
2022-11-23T01:32:37.8654421Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.8654484Z             {
2022-11-23T01:32:37.8654625Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8654717Z                 'code': None,
2022-11-23T01:32:37.8654924Z                 'obj_weakref': <weakref at 0x7f7106c44c50; to 'Tensor' at 0x7f7106e25a70>
2022-11-23T01:32:37.8655173Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8655235Z             }
2022-11-23T01:32:37.8655300Z             
2022-11-23T01:32:37.8655368Z  - 
2022-11-23T01:32:37.8655488Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:37.8655538Z             {
2022-11-23T01:32:37.8655677Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8655782Z                 'code': None,
2022-11-23T01:32:37.8655984Z                 'obj_weakref': <weakref at 0x7f7106c444d0; to 'Tensor' at 0x7f7106e25a10>
2022-11-23T01:32:37.8656232Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8656294Z             }
2022-11-23T01:32:37.8656356Z             
2022-11-23T01:32:37.8656412Z  - 
2022-11-23T01:32:37.8656533Z             local 'ex[4]' TENSOR_MATCH
2022-11-23T01:32:37.8656593Z             {
2022-11-23T01:32:37.8656736Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8656840Z                 'code': None,
2022-11-23T01:32:37.8657048Z                 'obj_weakref': <weakref at 0x7f710667e3b0; to 'Tensor' at 0x7f7106e25350>
2022-11-23T01:32:37.8657292Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8657353Z             }
2022-11-23T01:32:37.8657403Z             
2022-11-23T01:32:37.8657470Z  - 
2022-11-23T01:32:37.8657591Z             local 'ex[5]' TENSOR_MATCH
2022-11-23T01:32:37.8657655Z             {
2022-11-23T01:32:37.8657794Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8657898Z                 'code': None,
2022-11-23T01:32:37.8658088Z                 'obj_weakref': <weakref at 0x7f7104e313b0; to 'Tensor' at 0x7f7129ec2d10>
2022-11-23T01:32:37.8658330Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8658391Z             }
2022-11-23T01:32:37.8658454Z             
2022-11-23T01:32:37.8658521Z  - 
2022-11-23T01:32:37.8658641Z             local 'ex[6]' TENSOR_MATCH
2022-11-23T01:32:37.8658704Z             {
2022-11-23T01:32:37.8658830Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8658933Z                 'code': None,
2022-11-23T01:32:37.8659137Z                 'obj_weakref': <weakref at 0x7f7106d8dd70; to 'Tensor' at 0x7f7112a3ddd0>
2022-11-23T01:32:37.8659382Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8659473Z             }
2022-11-23T01:32:37.8659537Z             
2022-11-23T01:32:37.8659607Z  - 
2022-11-23T01:32:37.8659716Z             local 'ex[7]' TENSOR_MATCH
2022-11-23T01:32:37.8659777Z             {
2022-11-23T01:32:37.8659917Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8660022Z                 'code': None,
2022-11-23T01:32:37.8660254Z                 'obj_weakref': <weakref at 0x7f71241dcdd0; to 'Tensor' at 0x7f7112a3d170>
2022-11-23T01:32:37.8660499Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8660561Z             }
2022-11-23T01:32:37.8660623Z             
2022-11-23T01:32:37.8660678Z  - 
2022-11-23T01:32:37.8660799Z             local 'ex[8]' TENSOR_MATCH
2022-11-23T01:32:37.8660860Z             {
2022-11-23T01:32:37.8661001Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8661110Z                 'code': None,
2022-11-23T01:32:37.8661313Z                 'obj_weakref': <weakref at 0x7f7106f245f0; to 'Tensor' at 0x7f7112a3d0b0>
2022-11-23T01:32:37.8661557Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8661607Z             }
2022-11-23T01:32:37.8661670Z             
2022-11-23T01:32:37.8661740Z  - 
2022-11-23T01:32:37.8661865Z             local 'ex[9]' TENSOR_MATCH
2022-11-23T01:32:37.8661932Z             {
2022-11-23T01:32:37.8662075Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8662168Z                 'code': None,
2022-11-23T01:32:37.8662371Z                 'obj_weakref': <weakref at 0x7f71068de0b0; to 'Tensor' at 0x7f7112a3d5f0>
2022-11-23T01:32:37.8662615Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8662682Z             }
2022-11-23T01:32:37.8662746Z             
2022-11-23T01:32:37.8662818Z  - 
2022-11-23T01:32:37.8662948Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.8662998Z             {
2022-11-23T01:32:37.8663133Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.8663302Z                 'code': ['___check_obj_id(model, 140123418738768)'],
2022-11-23T01:32:37.8663421Z                 'obj_weakref': None
2022-11-23T01:32:37.8663651Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.8663717Z             }
2022-11-23T01:32:37.8663782Z             
2022-11-23T01:32:37.8663838Z  - 
2022-11-23T01:32:37.8663964Z             local 'ex[10]' TENSOR_MATCH
2022-11-23T01:32:37.8664027Z             {
2022-11-23T01:32:37.8664169Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8664276Z                 'code': None,
2022-11-23T01:32:37.8664559Z                 'obj_weakref': <weakref at 0x7f71c25cd4d0; to 'Tensor' at 0x7f7112a3d410>
2022-11-23T01:32:37.8664810Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8664878Z             }
2022-11-23T01:32:37.8664929Z             
2022-11-23T01:32:37.8664999Z  - 
2022-11-23T01:32:37.8665123Z             local 'ex[11]' TENSOR_MATCH
2022-11-23T01:32:37.8665188Z             {
2022-11-23T01:32:37.8665331Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8665437Z                 'code': None,
2022-11-23T01:32:37.8665631Z                 'obj_weakref': <weakref at 0x7f71064faf50; to 'Tensor' at 0x7f7112a3da10>
2022-11-23T01:32:37.8665878Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8665941Z             }
2022-11-23T01:32:37.8666004Z             
2022-11-23T01:32:37.8666074Z  - 
2022-11-23T01:32:37.8666198Z             local 'ex[12]' TENSOR_MATCH
2022-11-23T01:32:37.8666261Z             {
2022-11-23T01:32:37.8666388Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8666535Z                 'code': None,
2022-11-23T01:32:37.8666739Z                 'obj_weakref': <weakref at 0x7f70f1651f50; to 'Tensor' at 0x7f7112a3d230>
2022-11-23T01:32:37.8666981Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8667045Z             }
2022-11-23T01:32:37.8667108Z             
2022-11-23T01:32:37.8667178Z  - 
2022-11-23T01:32:37.8667331Z             local 'ex[13]' TENSOR_MATCH
2022-11-23T01:32:37.8667381Z             {
2022-11-23T01:32:37.8667524Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8667627Z                 'code': None,
2022-11-23T01:32:37.8667832Z                 'obj_weakref': <weakref at 0x7f71064f0470; to 'Tensor' at 0x7f7112a3d710>
2022-11-23T01:32:37.8668073Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8668138Z             }
2022-11-23T01:32:37.8668204Z             
2022-11-23T01:32:37.8668259Z  - 
2022-11-23T01:32:37.8668382Z             local 'ex[14]' TENSOR_MATCH
2022-11-23T01:32:37.8668448Z             {
2022-11-23T01:32:37.8668589Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8668694Z                 'code': None,
2022-11-23T01:32:37.8668898Z                 'obj_weakref': <weakref at 0x7f7106bf03b0; to 'Tensor' at 0x7f7112a3de30>
2022-11-23T01:32:37.8669143Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8669194Z             }
2022-11-23T01:32:37.8669255Z             
2022-11-23T01:32:37.8669323Z  - 
2022-11-23T01:32:37.8669445Z             local 'ex[15]' TENSOR_MATCH
2022-11-23T01:32:37.8669506Z             {
2022-11-23T01:32:37.8669645Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8669749Z                 'code': None,
2022-11-23T01:32:37.8669938Z                 'obj_weakref': <weakref at 0x7f7106bf0710; to 'Tensor' at 0x7f7106bdb1d0>
2022-11-23T01:32:37.8670180Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8670244Z             }
2022-11-23T01:32:37.8670305Z             
2022-11-23T01:32:37.8670371Z  - 
2022-11-23T01:32:37.8670493Z             local 'ex[16]' TENSOR_MATCH
2022-11-23T01:32:37.8670555Z             {
2022-11-23T01:32:37.8670682Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8670788Z                 'code': None,
2022-11-23T01:32:37.8670985Z                 'obj_weakref': <weakref at 0x7f7106720710; to 'Tensor' at 0x7f7106bdbbf0>
2022-11-23T01:32:37.8671224Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8671285Z             }
2022-11-23T01:32:37.8671346Z             
2022-11-23T01:32:37.8671413Z  - 
2022-11-23T01:32:37.8671522Z             local 'ex[17]' TENSOR_MATCH
2022-11-23T01:32:37.8671586Z             {
2022-11-23T01:32:37.8671725Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8671830Z                 'code': None,
2022-11-23T01:32:37.8672035Z                 'obj_weakref': <weakref at 0x7f7106720fb0; to 'Tensor' at 0x7f71241b5e30>
2022-11-23T01:32:37.8672276Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8672338Z             }
2022-11-23T01:32:37.8672387Z             
2022-11-23T01:32:37.8672456Z  - 
2022-11-23T01:32:37.8672577Z             local 'ex[18]' TENSOR_MATCH
2022-11-23T01:32:37.8672639Z             {
2022-11-23T01:32:37.8672777Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8672881Z                 'code': None,
2022-11-23T01:32:37.8673083Z                 'obj_weakref': <weakref at 0x7f71ce00b3b0; to 'Tensor' at 0x7f71241b5d10>
2022-11-23T01:32:37.8673313Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8673404Z             }
2022-11-23T01:32:37.8673467Z             
2022-11-23T01:32:37.8673533Z  - 
2022-11-23T01:32:37.8673656Z             local 'ex[19]' TENSOR_MATCH
2022-11-23T01:32:37.8673719Z             {
2022-11-23T01:32:37.8673858Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8673951Z                 'code': None,
2022-11-23T01:32:37.8674191Z                 'obj_weakref': <weakref at 0x7f71ce00bc50; to 'Tensor' at 0x7f71241b5950>
2022-11-23T01:32:37.8674434Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8674497Z             }
2022-11-23T01:32:37.8674558Z             
2022-11-23T01:32:37.8674624Z  - 
2022-11-23T01:32:37.8674745Z             local 'ex[20]' TENSOR_MATCH
2022-11-23T01:32:37.8674795Z             {
2022-11-23T01:32:37.8674934Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8675039Z                 'code': None,
2022-11-23T01:32:37.8675246Z                 'obj_weakref': <weakref at 0x7f71ce00bcb0; to 'Tensor' at 0x7f71241b58f0>
2022-11-23T01:32:37.8675487Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8675548Z             }
2022-11-23T01:32:37.8675608Z             
2022-11-23T01:32:37.8675663Z  - 
2022-11-23T01:32:37.8675783Z             local 'ex[21]' TENSOR_MATCH
2022-11-23T01:32:37.8675845Z             {
2022-11-23T01:32:37.8675987Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8676090Z                 'code': None,
2022-11-23T01:32:37.8676293Z                 'obj_weakref': <weakref at 0x7f7129e91bf0; to 'Tensor' at 0x7f71241b5290>
2022-11-23T01:32:37.8676533Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8676583Z             }
2022-11-23T01:32:37.8676647Z             
2022-11-23T01:32:37.8676716Z  - 
2022-11-23T01:32:37.8676842Z             local 'ex[22]' TENSOR_MATCH
2022-11-23T01:32:37.8676904Z             {
2022-11-23T01:32:37.8677044Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8677270Z                 'code': None,
2022-11-23T01:32:37.8677516Z                 'obj_weakref': <weakref at 0x7f70f29169b0; to 'Tensor' at 0x7f7106c327d0>
2022-11-23T01:32:37.8677761Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8677827Z             }
2022-11-23T01:32:37.8677891Z             
2022-11-23T01:32:37.8677960Z  - 
2022-11-23T01:32:37.8678083Z             local 'ex[23]' TENSOR_MATCH
2022-11-23T01:32:37.8678145Z             {
2022-11-23T01:32:37.8678272Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8678380Z                 'code': None,
2022-11-23T01:32:37.8678583Z                 'obj_weakref': <weakref at 0x7f70f2916d10; to 'Tensor' at 0x7f7106c32650>
2022-11-23T01:32:37.8678824Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8678890Z             }
2022-11-23T01:32:37.8678954Z             
2022-11-23T01:32:37.8679022Z  - 
2022-11-23T01:32:37.8679131Z             local 'ex[24]' TENSOR_MATCH
2022-11-23T01:32:37.8679195Z             {
2022-11-23T01:32:37.8679333Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8679437Z                 'code': None,
2022-11-23T01:32:37.8679640Z                 'obj_weakref': <weakref at 0x7f7106da4a10; to 'Tensor' at 0x7f7106c329b0>
2022-11-23T01:32:37.8679881Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8679943Z             }
2022-11-23T01:32:37.8679993Z             
2022-11-23T01:32:37.8680058Z  - 
2022-11-23T01:32:37.8680178Z             local 'ex[25]' TENSOR_MATCH
2022-11-23T01:32:37.8680238Z             {
2022-11-23T01:32:37.8680379Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8680547Z                 'code': None,
2022-11-23T01:32:37.8680753Z                 'obj_weakref': <weakref at 0x7f7106da46b0; to 'Tensor' at 0x7f7106c324d0>
2022-11-23T01:32:37.8680982Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8681046Z             }
2022-11-23T01:32:37.8681109Z             
2022-11-23T01:32:37.8681178Z  - 
2022-11-23T01:32:37.8681358Z             local 'ex[26]' TENSOR_MATCH
2022-11-23T01:32:37.8681420Z             {
2022-11-23T01:32:37.8681560Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8681653Z                 'code': None,
2022-11-23T01:32:37.8681856Z                 'obj_weakref': <weakref at 0x7f7106da4d70; to 'Tensor' at 0x7f7106c32b30>
2022-11-23T01:32:37.8682099Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8682163Z             }
2022-11-23T01:32:37.8682228Z             
2022-11-23T01:32:37.8682297Z  - 
2022-11-23T01:32:37.8682420Z             local 'ex[27]' TENSOR_MATCH
2022-11-23T01:32:37.8682469Z             {
2022-11-23T01:32:37.8682610Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8682715Z                 'code': None,
2022-11-23T01:32:37.8682917Z                 'obj_weakref': <weakref at 0x7f7193234a10; to 'Tensor' at 0x7f7106cd66b0>
2022-11-23T01:32:37.8683158Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8683221Z             }
2022-11-23T01:32:37.8683284Z             
2022-11-23T01:32:37.8683339Z  - 
2022-11-23T01:32:37.8683462Z             local 'ex[28]' TENSOR_MATCH
2022-11-23T01:32:37.8683524Z             {
2022-11-23T01:32:37.8683665Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8683771Z                 'code': None,
2022-11-23T01:32:37.8683970Z                 'obj_weakref': <weakref at 0x7f7193234a70; to 'Tensor' at 0x7f7106cd69b0>
2022-11-23T01:32:37.8684213Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8684276Z             }
2022-11-23T01:32:37.8684325Z             
2022-11-23T01:32:37.8684391Z  - 
2022-11-23T01:32:37.8684512Z             local 'ex[29]' TENSOR_MATCH
2022-11-23T01:32:37.8684575Z             {
2022-11-23T01:32:37.8684715Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8684821Z                 'code': None,
2022-11-23T01:32:37.8685011Z                 'obj_weakref': <weakref at 0x7f7106dee890; to 'Tensor' at 0x7f7106baf4d0>
2022-11-23T01:32:37.8685251Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8685313Z             }
2022-11-23T01:32:37.8685374Z             
2022-11-23T01:32:37.8685443Z  - 
2022-11-23T01:32:37.8685565Z             local 'ex[30]' TENSOR_MATCH
2022-11-23T01:32:37.8685628Z             {
2022-11-23T01:32:37.8685755Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8685858Z                 'code': None,
2022-11-23T01:32:37.8686060Z                 'obj_weakref': <weakref at 0x7f7106dee770; to 'Tensor' at 0x7f7106bafb90>
2022-11-23T01:32:37.8686300Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8686362Z             }
2022-11-23T01:32:37.8686423Z             
2022-11-23T01:32:37.8686492Z  - 
2022-11-23T01:32:37.8686602Z             local 'ex[31]' TENSOR_MATCH
2022-11-23T01:32:37.8686663Z             {
2022-11-23T01:32:37.8686801Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8686905Z                 'code': None,
2022-11-23T01:32:37.8687110Z                 'obj_weakref': <weakref at 0x7f7106dee950; to 'Tensor' at 0x7f7106baf950>
2022-11-23T01:32:37.8687349Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8687444Z             }
2022-11-23T01:32:37.8687506Z             
2022-11-23T01:32:37.8687562Z  - 
2022-11-23T01:32:37.8687684Z             local 'ex[32]' TENSOR_MATCH
2022-11-23T01:32:37.8687745Z             {
2022-11-23T01:32:37.8687884Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8687988Z                 'code': None,
2022-11-23T01:32:37.8688188Z                 'obj_weakref': <weakref at 0x7f7106a30830; to 'Tensor' at 0x7f7106baf650>
2022-11-23T01:32:37.8688459Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8688510Z             }
2022-11-23T01:32:37.8688572Z             
2022-11-23T01:32:37.8688640Z  - 
2022-11-23T01:32:37.8688761Z             local 'ex[33]' TENSOR_MATCH
2022-11-23T01:32:37.8688824Z             {
2022-11-23T01:32:37.8688962Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8689054Z                 'code': None,
2022-11-23T01:32:37.8689258Z                 'obj_weakref': <weakref at 0x7f70f295d110; to 'Tensor' at 0x7f7106baf1d0>
2022-11-23T01:32:37.8689498Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8689561Z             }
2022-11-23T01:32:37.8689623Z             
2022-11-23T01:32:37.8689691Z  - 
2022-11-23T01:32:37.8689811Z             local 'ex[34]' TENSOR_MATCH
2022-11-23T01:32:37.8689861Z             {
2022-11-23T01:32:37.8690001Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8690105Z                 'code': None,
2022-11-23T01:32:37.8690307Z                 'obj_weakref': <weakref at 0x7f70f295d710; to 'Tensor' at 0x7f7106baf590>
2022-11-23T01:32:37.8690547Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8690609Z             }
2022-11-23T01:32:37.8690671Z             
2022-11-23T01:32:37.8690737Z  - 
2022-11-23T01:32:37.8690849Z             local 'ex[35]' TENSOR_MATCH
2022-11-23T01:32:37.8690909Z             {
2022-11-23T01:32:37.8691048Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8691152Z                 'code': None,
2022-11-23T01:32:37.8691354Z                 'obj_weakref': <weakref at 0x7f710cd891d0; to 'Tensor' at 0x7f7106baf470>
2022-11-23T01:32:37.8691592Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8691655Z             }
2022-11-23T01:32:37.8691705Z             
2022-11-23T01:32:37.8691771Z  - 
2022-11-23T01:32:37.8691891Z             local 'ex[36]' TENSOR_MATCH
2022-11-23T01:32:37.8691953Z             {
2022-11-23T01:32:37.8692092Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8692195Z                 'code': None,
2022-11-23T01:32:37.8692397Z                 'obj_weakref': <weakref at 0x7f710cd89470; to 'Tensor' at 0x7f7106baf5f0>
2022-11-23T01:32:37.8692625Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8692689Z             }
2022-11-23T01:32:37.8692751Z             
2022-11-23T01:32:37.8692819Z  - 
2022-11-23T01:32:37.8692938Z             local 'ex[37]' TENSOR_MATCH
2022-11-23T01:32:37.8693003Z             {
2022-11-23T01:32:37.8693141Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8693234Z                 'code': None,
2022-11-23T01:32:37.8693439Z                 'obj_weakref': <weakref at 0x7f710cd89a10; to 'Tensor' at 0x7f7106bafb30>
2022-11-23T01:32:37.8693679Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8693741Z             }
2022-11-23T01:32:37.8693803Z             
2022-11-23T01:32:37.8693871Z  - 
2022-11-23T01:32:37.8693991Z             local 'ex[38]' TENSOR_MATCH
2022-11-23T01:32:37.8694041Z             {
2022-11-23T01:32:37.8694179Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8694317Z                 'code': None,
2022-11-23T01:32:37.8694517Z                 'obj_weakref': <weakref at 0x7f71188f0830; to 'Tensor' at 0x7f7129e72ef0>
2022-11-23T01:32:37.8694759Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8694820Z             }
2022-11-23T01:32:37.8694884Z             
2022-11-23T01:32:37.8694938Z  - 
2022-11-23T01:32:37.8695088Z             local 'ex[39]' TENSOR_MATCH
2022-11-23T01:32:37.8695151Z             {
2022-11-23T01:32:37.8695291Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8695396Z                 'code': None,
2022-11-23T01:32:37.8695596Z                 'obj_weakref': <weakref at 0x7f71188f0230; to 'Tensor' at 0x7f7129e72e30>
2022-11-23T01:32:37.8695835Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8695885Z             }
2022-11-23T01:32:37.8695948Z             
2022-11-23T01:32:37.8696014Z  - 
2022-11-23T01:32:37.8696135Z             local 'ex[40]' TENSOR_MATCH
2022-11-23T01:32:37.8696196Z             {
2022-11-23T01:32:37.8696334Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8696439Z                 'code': None,
2022-11-23T01:32:37.8696627Z                 'obj_weakref': <weakref at 0x7f7106699830; to 'Tensor' at 0x7f7129e72dd0>
2022-11-23T01:32:37.8696874Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8696939Z             }
2022-11-23T01:32:37.8697004Z             
2022-11-23T01:32:37.8697074Z  - 
2022-11-23T01:32:37.8697199Z             local 'ex[41]' TENSOR_MATCH
2022-11-23T01:32:37.8697263Z             {
2022-11-23T01:32:37.8697391Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8697497Z                 'code': None,
2022-11-23T01:32:37.8697700Z                 'obj_weakref': <weakref at 0x7f71ce004530; to 'Tensor' at 0x7f7129e726b0>
2022-11-23T01:32:37.8697944Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8698012Z             }
2022-11-23T01:32:37.8698076Z             
2022-11-23T01:32:37.8698146Z  - 
2022-11-23T01:32:37.8698256Z             local 'ex[42]' TENSOR_MATCH
2022-11-23T01:32:37.8698321Z             {
2022-11-23T01:32:37.8698462Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8698572Z                 'code': None,
2022-11-23T01:32:37.8698778Z                 'obj_weakref': <weakref at 0x7f70f2d6e7d0; to 'Tensor' at 0x7f7129e72d70>
2022-11-23T01:32:37.8699022Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8699086Z             }
2022-11-23T01:32:37.8699136Z             
2022-11-23T01:32:37.8699205Z  - 
2022-11-23T01:32:37.8699329Z             local 'ex[43]' TENSOR_MATCH
2022-11-23T01:32:37.8699396Z             {
2022-11-23T01:32:37.8699539Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8699645Z                 'code': None,
2022-11-23T01:32:37.8699851Z                 'obj_weakref': <weakref at 0x7f70f2d6ed10; to 'Tensor' at 0x7f7129e72770>
2022-11-23T01:32:37.8700079Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8700144Z             }
2022-11-23T01:32:37.8700208Z             
2022-11-23T01:32:37.8700280Z  - 
2022-11-23T01:32:37.8700402Z             local 'ex[44]' TENSOR_MATCH
2022-11-23T01:32:37.8700466Z             {
2022-11-23T01:32:37.8700609Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8700701Z                 'code': None,
2022-11-23T01:32:37.8700903Z                 'obj_weakref': <weakref at 0x7f7106737890; to 'Tensor' at 0x7f7129e72d10>
2022-11-23T01:32:37.8701146Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8701239Z             }
2022-11-23T01:32:37.8701303Z             
2022-11-23T01:32:37.8701376Z  - 
2022-11-23T01:32:37.8701502Z             local 'ex[45]' TENSOR_MATCH
2022-11-23T01:32:37.8701551Z             {
2022-11-23T01:32:37.8701691Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8701799Z                 'code': None,
2022-11-23T01:32:37.8702002Z                 'obj_weakref': <weakref at 0x7f7106737a10; to 'Tensor' at 0x7f7129e72350>
2022-11-23T01:32:37.8702270Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8702332Z             }
2022-11-23T01:32:37.8702395Z             
2022-11-23T01:32:37.8702521Z  - 
2022-11-23T01:32:37.8702645Z             local 'ex[46]' TENSOR_MATCH
2022-11-23T01:32:37.8702709Z             {
2022-11-23T01:32:37.8702851Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8702957Z                 'code': None,
2022-11-23T01:32:37.8703162Z                 'obj_weakref': <weakref at 0x7f71067378f0; to 'Tensor' at 0x7f71068ec650>
2022-11-23T01:32:37.8703406Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8703458Z             }
2022-11-23T01:32:37.8703519Z             
2022-11-23T01:32:37.8703586Z  - 
2022-11-23T01:32:37.8703708Z             local 'ex[47]' TENSOR_MATCH
2022-11-23T01:32:37.8703772Z             {
2022-11-23T01:32:37.8703914Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8709322Z                 'code': None,
2022-11-23T01:32:37.8709584Z                 'obj_weakref': <weakref at 0x7f7106737b90; to 'Tensor' at 0x7f71068eca70>
2022-11-23T01:32:37.8709840Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8709907Z             }
2022-11-23T01:32:37.8709971Z             
2022-11-23T01:32:37.8710042Z  - 
2022-11-23T01:32:37.8710172Z             local 'ex[48]' TENSOR_MATCH
2022-11-23T01:32:37.8710237Z             {
2022-11-23T01:32:37.8710372Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8710476Z                 'code': None,
2022-11-23T01:32:37.8710680Z                 'obj_weakref': <weakref at 0x7f71188f6530; to 'Tensor' at 0x7f71068ecbf0>
2022-11-23T01:32:37.8710926Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8710992Z             }
2022-11-23T01:32:37.8711056Z             
2022-11-23T01:32:37.8711124Z  - 
2022-11-23T01:32:37.8711235Z             local 'ex[49]' TENSOR_MATCH
2022-11-23T01:32:37.8711297Z             {
2022-11-23T01:32:37.8711438Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8711542Z                 'code': None,
2022-11-23T01:32:37.8711746Z                 'obj_weakref': <weakref at 0x7f71188f6830; to 'Tensor' at 0x7f71068ec350>
2022-11-23T01:32:37.8711988Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8712054Z             }
2022-11-23T01:32:37.8712104Z             
2022-11-23T01:32:37.8712171Z  - 
2022-11-23T01:32:37.8712290Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.8712355Z             {
2022-11-23T01:32:37.8712490Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.8712710Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.8712828Z                 'obj_weakref': None
2022-11-23T01:32:37.8713032Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.8713093Z             }
2022-11-23T01:32:37.8713156Z             
2022-11-23T01:32:37.8713223Z  - 
2022-11-23T01:32:37.8713403Z             local 'model.__closure__[0].cell_contents' CONSTANT_MATCH
2022-11-23T01:32:37.8713465Z             {
2022-11-23T01:32:37.8713606Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.8713949Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403915040)', 'model.__closure__[0].cell_contents == 50'],
2022-11-23T01:32:37.8714067Z                 'obj_weakref': None
2022-11-23T01:32:37.8714284Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:37.8714348Z             }
2022-11-23T01:32:37.8714412Z             
2022-11-23T01:32:37.8714517Z  - 
2022-11-23T01:32:37.8714649Z             global 'range' BUILTIN_MATCH
2022-11-23T01:32:37.8714699Z             {
2022-11-23T01:32:37.8714818Z                 'guard_types': None,
2022-11-23T01:32:37.8714925Z                 'code': None,
2022-11-23T01:32:37.8715039Z                 'obj_weakref': None
2022-11-23T01:32:37.8715157Z                 'guarded_class': None
2022-11-23T01:32:37.8715219Z             }
2022-11-23T01:32:37.8715281Z             
2022-11-23T01:32:37.8715336Z  - 
2022-11-23T01:32:37.8715469Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.8715531Z             {
2022-11-23T01:32:37.8715649Z                 'guard_types': None,
2022-11-23T01:32:37.8715752Z                 'code': None,
2022-11-23T01:32:37.8715867Z                 'obj_weakref': None
2022-11-23T01:32:37.8715985Z                 'guarded_class': None
2022-11-23T01:32:37.8716035Z             }
2022-11-23T01:32:37.8716096Z             
2022-11-23T01:32:37.8716362Z [2022-11-23 01:25:18,563] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 320
2022-11-23T01:32:37.8716370Z 
2022-11-23T01:32:37.8716463Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.8716530Z import torch
2022-11-23T01:32:37.8716599Z import random
2022-11-23T01:32:37.8716714Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.8716823Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.8716845Z 
2022-11-23T01:32:37.8716911Z aten = torch.ops.aten
2022-11-23T01:32:37.8717047Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.8717280Z async_compile = AsyncCompile()
2022-11-23T01:32:37.8717286Z 
2022-11-23T01:32:37.8717290Z 
2022-11-23T01:32:37.8717427Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.8717633Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.8717750Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:37.8717860Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.8717951Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.8718051Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.8718151Z                        const float* __restrict__ in_ptr3,
2022-11-23T01:32:37.8718251Z                        const float* __restrict__ in_ptr4,
2022-11-23T01:32:37.8718351Z                        const float* __restrict__ in_ptr5,
2022-11-23T01:32:37.8718451Z                        const float* __restrict__ in_ptr6,
2022-11-23T01:32:37.8718553Z                        const float* __restrict__ in_ptr7,
2022-11-23T01:32:37.8718653Z                        const float* __restrict__ in_ptr8,
2022-11-23T01:32:37.8718739Z                        const float* __restrict__ in_ptr9,
2022-11-23T01:32:37.8718843Z                        const float* __restrict__ in_ptr10,
2022-11-23T01:32:37.8718946Z                        const float* __restrict__ in_ptr11,
2022-11-23T01:32:37.8719050Z                        const float* __restrict__ in_ptr12,
2022-11-23T01:32:37.8719152Z                        const float* __restrict__ in_ptr13,
2022-11-23T01:32:37.8719252Z                        const float* __restrict__ in_ptr14,
2022-11-23T01:32:37.8719353Z                        const float* __restrict__ in_ptr15,
2022-11-23T01:32:37.8719441Z                        const float* __restrict__ in_ptr16,
2022-11-23T01:32:37.8719538Z                        const float* __restrict__ in_ptr17,
2022-11-23T01:32:37.8719692Z                        const float* __restrict__ in_ptr18,
2022-11-23T01:32:37.8719788Z                        const float* __restrict__ in_ptr19,
2022-11-23T01:32:37.8719885Z                        const float* __restrict__ in_ptr20,
2022-11-23T01:32:37.8719988Z                        const float* __restrict__ in_ptr21,
2022-11-23T01:32:37.8720088Z                        const float* __restrict__ in_ptr22,
2022-11-23T01:32:37.8720256Z                        const float* __restrict__ in_ptr23,
2022-11-23T01:32:37.8720344Z                        const float* __restrict__ in_ptr24,
2022-11-23T01:32:37.8720443Z                        const float* __restrict__ in_ptr25,
2022-11-23T01:32:37.8720541Z                        const float* __restrict__ in_ptr26,
2022-11-23T01:32:37.8720640Z                        const float* __restrict__ in_ptr27,
2022-11-23T01:32:37.8720739Z                        const float* __restrict__ in_ptr28,
2022-11-23T01:32:37.8720839Z                        const float* __restrict__ in_ptr29,
2022-11-23T01:32:37.8720940Z                        const float* __restrict__ in_ptr30,
2022-11-23T01:32:37.8721026Z                        const float* __restrict__ in_ptr31,
2022-11-23T01:32:37.8721125Z                        const float* __restrict__ in_ptr32,
2022-11-23T01:32:37.8721223Z                        const float* __restrict__ in_ptr33,
2022-11-23T01:32:37.8721322Z                        const float* __restrict__ in_ptr34,
2022-11-23T01:32:37.8721423Z                        const float* __restrict__ in_ptr35,
2022-11-23T01:32:37.8721521Z                        const float* __restrict__ in_ptr36,
2022-11-23T01:32:37.8721620Z                        const float* __restrict__ in_ptr37,
2022-11-23T01:32:37.8721718Z                        const float* __restrict__ in_ptr38,
2022-11-23T01:32:37.8721803Z                        const float* __restrict__ in_ptr39,
2022-11-23T01:32:37.8721901Z                        const float* __restrict__ in_ptr40,
2022-11-23T01:32:37.8722000Z                        const float* __restrict__ in_ptr41,
2022-11-23T01:32:37.8722101Z                        const float* __restrict__ in_ptr42,
2022-11-23T01:32:37.8722199Z                        const float* __restrict__ in_ptr43,
2022-11-23T01:32:37.8722298Z                        const float* __restrict__ in_ptr44,
2022-11-23T01:32:37.8722396Z                        const float* __restrict__ in_ptr45,
2022-11-23T01:32:37.8722481Z                        const float* __restrict__ in_ptr46,
2022-11-23T01:32:37.8722579Z                        const float* __restrict__ in_ptr47,
2022-11-23T01:32:37.8722676Z                        const float* __restrict__ in_ptr48,
2022-11-23T01:32:37.8722773Z                        const float* __restrict__ in_ptr49)
2022-11-23T01:32:37.8722835Z {
2022-11-23T01:32:37.8722921Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T01:32:37.8723019Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.8723068Z     {
2022-11-23T01:32:37.8723144Z         #pragma omp for 
2022-11-23T01:32:37.8723226Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.8723289Z         {
2022-11-23T01:32:37.8723448Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.8723579Z             auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:37.8723705Z             auto tmp4 = at::vec::Vectorized<float>::loadu(in_ptr2 + 16*i0);
2022-11-23T01:32:37.8723830Z             auto tmp6 = at::vec::Vectorized<float>::loadu(in_ptr3 + 16*i0);
2022-11-23T01:32:37.8723944Z             auto tmp8 = at::vec::Vectorized<float>::loadu(in_ptr4 + 16*i0);
2022-11-23T01:32:37.8724078Z             auto tmp10 = at::vec::Vectorized<float>::loadu(in_ptr5 + 16*i0);
2022-11-23T01:32:37.8724206Z             auto tmp12 = at::vec::Vectorized<float>::loadu(in_ptr6 + 16*i0);
2022-11-23T01:32:37.8724331Z             auto tmp14 = at::vec::Vectorized<float>::loadu(in_ptr7 + 16*i0);
2022-11-23T01:32:37.8724457Z             auto tmp16 = at::vec::Vectorized<float>::loadu(in_ptr8 + 16*i0);
2022-11-23T01:32:37.8724575Z             auto tmp1 = tmp0 + tmp0;
2022-11-23T01:32:37.8724656Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:37.8724736Z             auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.8724803Z             auto tmp7 = tmp5 + tmp6;
2022-11-23T01:32:37.8724882Z             auto tmp9 = tmp7 + tmp8;
2022-11-23T01:32:37.8724965Z             auto tmp11 = tmp9 + tmp10;
2022-11-23T01:32:37.8725049Z             auto tmp13 = tmp11 + tmp12;
2022-11-23T01:32:37.8725160Z             auto tmp15 = tmp13 + tmp14;
2022-11-23T01:32:37.8725241Z             auto tmp17 = tmp15 + tmp16;
2022-11-23T01:32:37.8725334Z             tmp17.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.8725385Z         }
2022-11-23T01:32:37.8725478Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.8725559Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:37.8725622Z         {
2022-11-23T01:32:37.8725706Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.8725787Z             auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:37.8725869Z             auto tmp4 = in_ptr2[i0];
2022-11-23T01:32:37.8725936Z             auto tmp6 = in_ptr3[i0];
2022-11-23T01:32:37.8726014Z             auto tmp8 = in_ptr4[i0];
2022-11-23T01:32:37.8726097Z             auto tmp10 = in_ptr5[i0];
2022-11-23T01:32:37.8726180Z             auto tmp12 = in_ptr6[i0];
2022-11-23T01:32:37.8726261Z             auto tmp14 = in_ptr7[i0];
2022-11-23T01:32:37.8726341Z             auto tmp16 = in_ptr8[i0];
2022-11-23T01:32:37.8726422Z             auto tmp1 = tmp0 + tmp0;
2022-11-23T01:32:37.8726491Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:37.8726570Z             auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.8726648Z             auto tmp7 = tmp5 + tmp6;
2022-11-23T01:32:37.8726727Z             auto tmp9 = tmp7 + tmp8;
2022-11-23T01:32:37.8726810Z             auto tmp11 = tmp9 + tmp10;
2022-11-23T01:32:37.8726893Z             auto tmp13 = tmp11 + tmp12;
2022-11-23T01:32:37.8726976Z             auto tmp15 = tmp13 + tmp14;
2022-11-23T01:32:37.8727049Z             auto tmp17 = tmp15 + tmp16;
2022-11-23T01:32:37.8727129Z             out_ptr0[i0] = tmp17;
2022-11-23T01:32:37.8727191Z         }
2022-11-23T01:32:37.8727266Z         #pragma omp for 
2022-11-23T01:32:37.8727346Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.8727407Z         {
2022-11-23T01:32:37.8727538Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 16*i0);
2022-11-23T01:32:37.8727657Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr9 + 16*i0);
2022-11-23T01:32:37.8727788Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr10 + 16*i0);
2022-11-23T01:32:37.8727917Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr11 + 16*i0);
2022-11-23T01:32:37.8728040Z             auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr12 + 16*i0);
2022-11-23T01:32:37.8728164Z             auto tmp9 = at::vec::Vectorized<float>::loadu(in_ptr13 + 16*i0);
2022-11-23T01:32:37.8728294Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr14 + 16*i0);
2022-11-23T01:32:37.8728423Z             auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr15 + 16*i0);
2022-11-23T01:32:37.8728547Z             auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr16 + 16*i0);
2022-11-23T01:32:37.8728632Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.8728702Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:37.8728780Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:37.8728861Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:37.8728942Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:37.8729028Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:32:37.8729111Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.8729193Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:32:37.8729278Z             tmp16.store(in_out_ptr0 + 16*i0);
2022-11-23T01:32:37.8729338Z         }
2022-11-23T01:32:37.8729431Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.8729511Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:37.8729602Z         {
2022-11-23T01:32:37.8729684Z             auto tmp0 = out_ptr0[i0];
2022-11-23T01:32:37.8729764Z             auto tmp1 = in_ptr9[i0];
2022-11-23T01:32:37.8729834Z             auto tmp3 = in_ptr10[i0];
2022-11-23T01:32:37.8729913Z             auto tmp5 = in_ptr11[i0];
2022-11-23T01:32:37.8729993Z             auto tmp7 = in_ptr12[i0];
2022-11-23T01:32:37.8730073Z             auto tmp9 = in_ptr13[i0];
2022-11-23T01:32:37.8730206Z             auto tmp11 = in_ptr14[i0];
2022-11-23T01:32:37.8730290Z             auto tmp13 = in_ptr15[i0];
2022-11-23T01:32:37.8730372Z             auto tmp15 = in_ptr16[i0];
2022-11-23T01:32:37.8730443Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.8730523Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:37.8730604Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:37.8730683Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:37.8730765Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:37.8730848Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:32:37.8730933Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.8731003Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:32:37.8731083Z             in_out_ptr0[i0] = tmp16;
2022-11-23T01:32:37.8731145Z         }
2022-11-23T01:32:37.8731219Z         #pragma omp for 
2022-11-23T01:32:37.8731300Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.8731364Z         {
2022-11-23T01:32:37.8731505Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 16*i0);
2022-11-23T01:32:37.8731623Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr17 + 16*i0);
2022-11-23T01:32:37.8731751Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr18 + 16*i0);
2022-11-23T01:32:37.8731877Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr19 + 16*i0);
2022-11-23T01:32:37.8732004Z             auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr20 + 16*i0);
2022-11-23T01:32:37.8732128Z             auto tmp9 = at::vec::Vectorized<float>::loadu(in_ptr21 + 16*i0);
2022-11-23T01:32:37.8732259Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr22 + 16*i0);
2022-11-23T01:32:37.8732389Z             auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr23 + 16*i0);
2022-11-23T01:32:37.8732517Z             auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr24 + 16*i0);
2022-11-23T01:32:37.8732602Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.8732671Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:37.8732755Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:37.8732838Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:37.8732922Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:37.8733007Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:32:37.8733092Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.8733177Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:32:37.8733262Z             tmp16.store(in_out_ptr0 + 16*i0);
2022-11-23T01:32:37.8733326Z         }
2022-11-23T01:32:37.8733425Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.8733506Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:37.8733571Z         {
2022-11-23T01:32:37.8733661Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:37.8733746Z             auto tmp1 = in_ptr17[i0];
2022-11-23T01:32:37.8733815Z             auto tmp3 = in_ptr18[i0];
2022-11-23T01:32:37.8733897Z             auto tmp5 = in_ptr19[i0];
2022-11-23T01:32:37.8733981Z             auto tmp7 = in_ptr20[i0];
2022-11-23T01:32:37.8734064Z             auto tmp9 = in_ptr21[i0];
2022-11-23T01:32:37.8734149Z             auto tmp11 = in_ptr22[i0];
2022-11-23T01:32:37.8734235Z             auto tmp13 = in_ptr23[i0];
2022-11-23T01:32:37.8734318Z             auto tmp15 = in_ptr24[i0];
2022-11-23T01:32:37.8734389Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.8734471Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:37.8734552Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:37.8734634Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:37.8734747Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:37.8734828Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:32:37.8734913Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.8734984Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:32:37.8735067Z             in_out_ptr0[i0] = tmp16;
2022-11-23T01:32:37.8735129Z         }
2022-11-23T01:32:37.8735207Z         #pragma omp for 
2022-11-23T01:32:37.8735316Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.8735378Z         {
2022-11-23T01:32:37.8735501Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 16*i0);
2022-11-23T01:32:37.8735630Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr25 + 16*i0);
2022-11-23T01:32:37.8735759Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr26 + 16*i0);
2022-11-23T01:32:37.8735886Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr27 + 16*i0);
2022-11-23T01:32:37.8736012Z             auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr28 + 16*i0);
2022-11-23T01:32:37.8736137Z             auto tmp9 = at::vec::Vectorized<float>::loadu(in_ptr29 + 16*i0);
2022-11-23T01:32:37.8736266Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr30 + 16*i0);
2022-11-23T01:32:37.8736394Z             auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr31 + 16*i0);
2022-11-23T01:32:37.8736524Z             auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr32 + 16*i0);
2022-11-23T01:32:37.8736611Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.8736681Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:37.8736760Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:37.8736839Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:37.8736922Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:37.8737003Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:32:37.8737085Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.8737166Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:32:37.8737252Z             tmp16.store(in_out_ptr0 + 16*i0);
2022-11-23T01:32:37.8737312Z         }
2022-11-23T01:32:37.8737406Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.8737485Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:37.8737547Z         {
2022-11-23T01:32:37.8737634Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:37.8737705Z             auto tmp1 = in_ptr25[i0];
2022-11-23T01:32:37.8737786Z             auto tmp3 = in_ptr26[i0];
2022-11-23T01:32:37.8737871Z             auto tmp5 = in_ptr27[i0];
2022-11-23T01:32:37.8737952Z             auto tmp7 = in_ptr28[i0];
2022-11-23T01:32:37.8738032Z             auto tmp9 = in_ptr29[i0];
2022-11-23T01:32:37.8738115Z             auto tmp11 = in_ptr30[i0];
2022-11-23T01:32:37.8738198Z             auto tmp13 = in_ptr31[i0];
2022-11-23T01:32:37.8738270Z             auto tmp15 = in_ptr32[i0];
2022-11-23T01:32:37.8738352Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.8738431Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:37.8738513Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:37.8738593Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:37.8738676Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:37.8738762Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:32:37.8738833Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.8738914Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:32:37.8738995Z             in_out_ptr0[i0] = tmp16;
2022-11-23T01:32:37.8739058Z         }
2022-11-23T01:32:37.8739132Z         #pragma omp for 
2022-11-23T01:32:37.8739212Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.8739273Z         {
2022-11-23T01:32:37.8739395Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 16*i0);
2022-11-23T01:32:37.8739523Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr33 + 16*i0);
2022-11-23T01:32:37.8739648Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr34 + 16*i0);
2022-11-23T01:32:37.8739801Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr35 + 16*i0);
2022-11-23T01:32:37.8739925Z             auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr36 + 16*i0);
2022-11-23T01:32:37.8740048Z             auto tmp9 = at::vec::Vectorized<float>::loadu(in_ptr37 + 16*i0);
2022-11-23T01:32:37.8740176Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr38 + 16*i0);
2022-11-23T01:32:37.8740334Z             auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr39 + 16*i0);
2022-11-23T01:32:37.8740459Z             auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr40 + 16*i0);
2022-11-23T01:32:37.8740531Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.8740611Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:37.8740690Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:37.8740769Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:37.8740850Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:37.8740934Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:32:37.8741022Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.8741092Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:32:37.8741189Z             tmp16.store(in_out_ptr0 + 16*i0);
2022-11-23T01:32:37.8741250Z         }
2022-11-23T01:32:37.8741342Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.8741422Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:37.8741483Z         {
2022-11-23T01:32:37.8741569Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:37.8741642Z             auto tmp1 = in_ptr33[i0];
2022-11-23T01:32:37.8741724Z             auto tmp3 = in_ptr34[i0];
2022-11-23T01:32:37.8741806Z             auto tmp5 = in_ptr35[i0];
2022-11-23T01:32:37.8741886Z             auto tmp7 = in_ptr36[i0];
2022-11-23T01:32:37.8741966Z             auto tmp9 = in_ptr37[i0];
2022-11-23T01:32:37.8742049Z             auto tmp11 = in_ptr38[i0];
2022-11-23T01:32:37.8742132Z             auto tmp13 = in_ptr39[i0];
2022-11-23T01:32:37.8742202Z             auto tmp15 = in_ptr40[i0];
2022-11-23T01:32:37.8742285Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.8742365Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:37.8742445Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:37.8742525Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:37.8742606Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:37.8742689Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:32:37.8742759Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.8742843Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:32:37.8742925Z             in_out_ptr0[i0] = tmp16;
2022-11-23T01:32:37.8742988Z         }
2022-11-23T01:32:37.8743063Z         #pragma omp for 
2022-11-23T01:32:37.8743146Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.8743206Z         {
2022-11-23T01:32:37.8743328Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 16*i0);
2022-11-23T01:32:37.8743458Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr41 + 16*i0);
2022-11-23T01:32:37.8743587Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr42 + 16*i0);
2022-11-23T01:32:37.8743713Z             auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr43 + 16*i0);
2022-11-23T01:32:37.8743837Z             auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr44 + 16*i0);
2022-11-23T01:32:37.8743961Z             auto tmp9 = at::vec::Vectorized<float>::loadu(in_ptr45 + 16*i0);
2022-11-23T01:32:37.8744092Z             auto tmp11 = at::vec::Vectorized<float>::loadu(in_ptr46 + 16*i0);
2022-11-23T01:32:37.8744221Z             auto tmp13 = at::vec::Vectorized<float>::loadu(in_ptr47 + 16*i0);
2022-11-23T01:32:37.8744346Z             auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr48 + 16*i0);
2022-11-23T01:32:37.8744417Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.8744588Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:37.8744673Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:37.8744754Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:37.8744880Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:37.8744966Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:32:37.8745050Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.8745120Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:32:37.8745218Z             tmp16.store(in_out_ptr0 + 16*i0);
2022-11-23T01:32:37.8745279Z         }
2022-11-23T01:32:37.8745375Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.8745487Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:37.8745550Z         {
2022-11-23T01:32:37.8745640Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:37.8745712Z             auto tmp1 = in_ptr41[i0];
2022-11-23T01:32:37.8745796Z             auto tmp3 = in_ptr42[i0];
2022-11-23T01:32:37.8745879Z             auto tmp5 = in_ptr43[i0];
2022-11-23T01:32:37.8745961Z             auto tmp7 = in_ptr44[i0];
2022-11-23T01:32:37.8746043Z             auto tmp9 = in_ptr45[i0];
2022-11-23T01:32:37.8746128Z             auto tmp11 = in_ptr46[i0];
2022-11-23T01:32:37.8746215Z             auto tmp13 = in_ptr47[i0];
2022-11-23T01:32:37.8746285Z             auto tmp15 = in_ptr48[i0];
2022-11-23T01:32:37.8746371Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.8746453Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:37.8746536Z             auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:37.8746615Z             auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:37.8746695Z             auto tmp10 = tmp8 + tmp9;
2022-11-23T01:32:37.8746780Z             auto tmp12 = tmp10 + tmp11;
2022-11-23T01:32:37.8746851Z             auto tmp14 = tmp12 + tmp13;
2022-11-23T01:32:37.8746932Z             auto tmp16 = tmp14 + tmp15;
2022-11-23T01:32:37.8747013Z             in_out_ptr0[i0] = tmp16;
2022-11-23T01:32:37.8747075Z         }
2022-11-23T01:32:37.8747149Z         #pragma omp for 
2022-11-23T01:32:37.8747228Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.8747289Z         {
2022-11-23T01:32:37.8747412Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 16*i0);
2022-11-23T01:32:37.8747542Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr49 + 16*i0);
2022-11-23T01:32:37.8747626Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.8747722Z             tmp2.store(in_out_ptr0 + 16*i0);
2022-11-23T01:32:37.8747785Z         }
2022-11-23T01:32:37.8747879Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.8747958Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:37.8748007Z         {
2022-11-23T01:32:37.8748096Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:37.8748178Z             auto tmp1 = in_ptr49[i0];
2022-11-23T01:32:37.8748262Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.8748343Z             in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.8748401Z         }
2022-11-23T01:32:37.8748461Z     }
2022-11-23T01:32:37.8748508Z }
2022-11-23T01:32:37.8748607Z ''')
2022-11-23T01:32:37.8748616Z 
2022-11-23T01:32:37.8748621Z 
2022-11-23T01:32:37.8748708Z async_compile.wait(globals())
2022-11-23T01:32:37.8748783Z del async_compile
2022-11-23T01:32:37.8748788Z 
2022-11-23T01:32:37.8748856Z def call(args):
2022-11-23T01:32:37.8749189Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1, arg9_1, arg10_1, arg11_1, arg12_1, arg13_1, arg14_1, arg15_1, arg16_1, arg17_1, arg18_1, arg19_1, arg20_1, arg21_1, arg22_1, arg23_1, arg24_1, arg25_1, arg26_1, arg27_1, arg28_1, arg29_1, arg30_1, arg31_1, arg32_1, arg33_1, arg34_1, arg35_1, arg36_1, arg37_1, arg38_1, arg39_1, arg40_1, arg41_1, arg42_1, arg43_1, arg44_1, arg45_1, arg46_1, arg47_1, arg48_1, arg49_1 = args
2022-11-23T01:32:37.8749262Z     args.clear()
2022-11-23T01:32:37.8749461Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8749547Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:37.8749616Z     buf2 = buf1; del buf1  # reuse
2022-11-23T01:32:37.8749696Z     buf3 = buf2; del buf2  # reuse
2022-11-23T01:32:37.8749776Z     buf4 = buf3; del buf3  # reuse
2022-11-23T01:32:37.8749887Z     buf5 = buf4; del buf4  # reuse
2022-11-23T01:32:37.8749965Z     buf6 = buf5; del buf5  # reuse
2022-11-23T01:32:37.8751236Z     kernel_cpp_0(c_void_p(buf6.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg6_1.data_ptr()), c_void_p(arg7_1.data_ptr()), c_void_p(arg8_1.data_ptr()), c_void_p(arg9_1.data_ptr()), c_void_p(arg10_1.data_ptr()), c_void_p(arg11_1.data_ptr()), c_void_p(arg12_1.data_ptr()), c_void_p(arg13_1.data_ptr()), c_void_p(arg14_1.data_ptr()), c_void_p(arg15_1.data_ptr()), c_void_p(arg16_1.data_ptr()), c_void_p(arg17_1.data_ptr()), c_void_p(arg18_1.data_ptr()), c_void_p(arg19_1.data_ptr()), c_void_p(arg20_1.data_ptr()), c_void_p(arg21_1.data_ptr()), c_void_p(arg22_1.data_ptr()), c_void_p(arg23_1.data_ptr()), c_void_p(arg24_1.data_ptr()), c_void_p(arg25_1.data_ptr()), c_void_p(arg26_1.data_ptr()), c_void_p(arg27_1.data_ptr()), c_void_p(arg28_1.data_ptr()), c_void_p(arg29_1.data_ptr()), c_void_p(arg30_1.data_ptr()), c_void_p(arg31_1.data_ptr()), c_void_p(arg32_1.data_ptr()), c_void_p(arg33_1.data_ptr()), c_void_p(arg34_1.data_ptr()), c_void_p(arg35_1.data_ptr()), c_void_p(arg36_1.data_ptr()), c_void_p(arg37_1.data_ptr()), c_void_p(arg38_1.data_ptr()), c_void_p(arg39_1.data_ptr()), c_void_p(arg40_1.data_ptr()), c_void_p(arg41_1.data_ptr()), c_void_p(arg42_1.data_ptr()), c_void_p(arg43_1.data_ptr()), c_void_p(arg44_1.data_ptr()), c_void_p(arg45_1.data_ptr()), c_void_p(arg46_1.data_ptr()), c_void_p(arg47_1.data_ptr()), c_void_p(arg48_1.data_ptr()), c_void_p(arg49_1.data_ptr()))
2022-11-23T01:32:37.8751310Z     del arg0_1
2022-11-23T01:32:37.8751378Z     del arg10_1
2022-11-23T01:32:37.8751443Z     del arg11_1
2022-11-23T01:32:37.8751508Z     del arg12_1
2022-11-23T01:32:37.8751575Z     del arg13_1
2022-11-23T01:32:37.8751629Z     del arg14_1
2022-11-23T01:32:37.8751693Z     del arg15_1
2022-11-23T01:32:37.8751756Z     del arg16_1
2022-11-23T01:32:37.8751823Z     del arg17_1
2022-11-23T01:32:37.8751886Z     del arg18_1
2022-11-23T01:32:37.8751951Z     del arg19_1
2022-11-23T01:32:37.8752015Z     del arg1_1
2022-11-23T01:32:37.8752067Z     del arg20_1
2022-11-23T01:32:37.8752130Z     del arg21_1
2022-11-23T01:32:37.8752195Z     del arg22_1
2022-11-23T01:32:37.8752260Z     del arg23_1
2022-11-23T01:32:37.8752324Z     del arg24_1
2022-11-23T01:32:37.8752388Z     del arg25_1
2022-11-23T01:32:37.8752440Z     del arg26_1
2022-11-23T01:32:37.8752507Z     del arg27_1
2022-11-23T01:32:37.8752571Z     del arg28_1
2022-11-23T01:32:37.8752634Z     del arg29_1
2022-11-23T01:32:37.8752700Z     del arg2_1
2022-11-23T01:32:37.8752764Z     del arg30_1
2022-11-23T01:32:37.8752827Z     del arg31_1
2022-11-23T01:32:37.8752878Z     del arg32_1
2022-11-23T01:32:37.8752943Z     del arg33_1
2022-11-23T01:32:37.8753006Z     del arg34_1
2022-11-23T01:32:37.8753075Z     del arg35_1
2022-11-23T01:32:37.8753138Z     del arg36_1
2022-11-23T01:32:37.8753202Z     del arg37_1
2022-11-23T01:32:37.8753257Z     del arg38_1
2022-11-23T01:32:37.8753320Z     del arg39_1
2022-11-23T01:32:37.8753386Z     del arg3_1
2022-11-23T01:32:37.8753450Z     del arg40_1
2022-11-23T01:32:37.8753513Z     del arg41_1
2022-11-23T01:32:37.8753577Z     del arg42_1
2022-11-23T01:32:37.8753629Z     del arg43_1
2022-11-23T01:32:37.8753693Z     del arg44_1
2022-11-23T01:32:37.8753759Z     del arg45_1
2022-11-23T01:32:37.8753823Z     del arg46_1
2022-11-23T01:32:37.8753888Z     del arg47_1
2022-11-23T01:32:37.8753954Z     del arg48_1
2022-11-23T01:32:37.8754017Z     del arg49_1
2022-11-23T01:32:37.8754069Z     del arg4_1
2022-11-23T01:32:37.8754134Z     del arg5_1
2022-11-23T01:32:37.8754198Z     del arg6_1
2022-11-23T01:32:37.8754261Z     del arg7_1
2022-11-23T01:32:37.8754325Z     del arg8_1
2022-11-23T01:32:37.8754389Z     del arg9_1
2022-11-23T01:32:37.8754447Z     return (buf6, )
2022-11-23T01:32:37.8754464Z 
2022-11-23T01:32:37.8754468Z 
2022-11-23T01:32:37.8754532Z if __name__ == "__main__":
2022-11-23T01:32:37.8754677Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.8754800Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.8755001Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8755192Z     arg1_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8755376Z     arg2_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8755599Z     arg3_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8755784Z     arg4_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8755956Z     arg5_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8756136Z     arg6_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8756318Z     arg7_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8756500Z     arg8_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8756683Z     arg9_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8756874Z     arg10_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8757063Z     arg11_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8757451Z     arg12_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8757632Z     arg13_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8757819Z     arg14_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8758003Z     arg15_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8758190Z     arg16_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8758373Z     arg17_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8758560Z     arg18_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8758744Z     arg19_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8758929Z     arg20_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8759100Z     arg21_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8759285Z     arg22_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8759467Z     arg23_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8759650Z     arg24_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8759837Z     arg25_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8760020Z     arg26_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8760200Z     arg27_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8760373Z     arg28_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8760554Z     arg29_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8760735Z     arg30_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8760918Z     arg31_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8761101Z     arg32_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8761283Z     arg33_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8761467Z     arg34_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8761648Z     arg35_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8761817Z     arg36_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8762001Z     arg37_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8762250Z     arg38_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8762432Z     arg39_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8762618Z     arg40_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8762803Z     arg41_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8763021Z     arg42_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8763208Z     arg43_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8763378Z     arg44_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8763562Z     arg45_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8763745Z     arg46_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8763931Z     arg47_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8764115Z     arg48_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8764302Z     arg49_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8764671Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1, arg9_1, arg10_1, arg11_1, arg12_1, arg13_1, arg14_1, arg15_1, arg16_1, arg17_1, arg18_1, arg19_1, arg20_1, arg21_1, arg22_1, arg23_1, arg24_1, arg25_1, arg26_1, arg27_1, arg28_1, arg29_1, arg30_1, arg31_1, arg32_1, arg33_1, arg34_1, arg35_1, arg36_1, arg37_1, arg38_1, arg39_1, arg40_1, arg41_1, arg42_1, arg43_1, arg44_1, arg45_1, arg46_1, arg47_1, arg48_1, arg49_1]))
2022-11-23T01:32:37.8765059Z [2022-11-23 01:25:21,459] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kx/ckxxsg5zrbmrqwoxefugrypha2ff7xeupals4uwqpsjms7jhzpz7.py
2022-11-23T01:32:37.8765331Z [2022-11-23 01:25:21,460] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 320
2022-11-23T01:32:37.8765339Z 
2022-11-23T01:32:37.8765421Z --> 7
2022-11-23T01:32:37.8765476Z ok (3.419s)
2022-11-23T01:32:37.8765798Z   test_no_op_reduction_cpu (__main__.CpuTests) ... [2022-11-23 01:25:21,473] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.8766070Z [2022-11-23 01:25:21,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.8766290Z [2022-11-23 01:25:21,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.8766542Z [2022-11-23 01:25:21,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.8766828Z [2022-11-23 01:25:21,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.8767152Z [2022-11-23 01:25:21,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.8767480Z [2022-11-23 01:25:21,474] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f642e540, file "inductor/test_torchinductor.py", line 3166> 
2022-11-23T01:32:37.8767576Z  3167           0 LOAD_FAST                0 (a)
2022-11-23T01:32:37.8767673Z                2 LOAD_METHOD              0 (sum)
2022-11-23T01:32:37.8767800Z                4 LOAD_CONST               1 (-1)
2022-11-23T01:32:37.8767889Z                6 CALL_METHOD              1
2022-11-23T01:32:37.8767984Z                8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:37.8768075Z               10 LOAD_ATTR                2 (amax)
2022-11-23T01:32:37.8768165Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:37.8768256Z               14 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8768331Z               16 BINARY_ADD
2022-11-23T01:32:37.8768437Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8768530Z               20 LOAD_CONST               3 (True)
2022-11-23T01:32:37.8768684Z               22 LOAD_CONST               4 (('keepdim',))
2022-11-23T01:32:37.8768777Z               24 CALL_FUNCTION_KW         3
2022-11-23T01:32:37.8768867Z               26 BUILD_TUPLE              2
2022-11-23T01:32:37.8768948Z               28 RETURN_VALUE
2022-11-23T01:32:37.8769009Z  
2022-11-23T01:32:37.8769014Z 
2022-11-23T01:32:37.8769312Z [2022-11-23 01:25:21,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3167
2022-11-23T01:32:37.8769525Z [2022-11-23 01:25:21,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.8769769Z [2022-11-23 01:25:21,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:37.8770046Z [2022-11-23 01:25:21,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:37.8770361Z [2022-11-23 01:25:21,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:37.8770606Z [2022-11-23 01:25:21,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.8770999Z [2022-11-23 01:25:21,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8771345Z [2022-11-23 01:25:21,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8771721Z [2022-11-23 01:25:21,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8772144Z [2022-11-23 01:25:21,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8772519Z [2022-11-23 01:25:21,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8772937Z [2022-11-23 01:25:21,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8773395Z [2022-11-23 01:25:21,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:37.8773903Z [2022-11-23 01:25:21,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(<built-in method amax of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:37.8774177Z [2022-11-23 01:25:21,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8774423Z [2022-11-23 01:25:21,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.8774753Z [2022-11-23 01:25:21,483] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f642e540, file "inductor/test_torchinductor.py", line 3166>
2022-11-23T01:32:37.8774997Z [2022-11-23 01:25:21,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.8775228Z [2022-11-23 01:25:21,483] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.8775509Z [2022-11-23 01:25:21,485] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.8775755Z [2022-11-23 01:25:21,491] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.8775943Z [2022-11-23 01:25:21,492] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.8776077Z  __compiled_fn_328 <eval_with_key>.2045 opcode, name, target, args, kwargs
2022-11-23T01:32:37.8776181Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.8776318Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:32:37.8776488Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.8776735Z call_function, amax, <built-in method amax of type object at 0x7f71f2abebc0>, (add, 1), {'keepdim': True}
2022-11-23T01:32:37.8776837Z output, output, output, ((sum_1, amax),), {}
2022-11-23T01:32:37.8776843Z 
2022-11-23T01:32:37.8777123Z [2022-11-23 01:25:21,492] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8777218Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.8777309Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8777388Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.8777476Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.8777551Z               8 RETURN_VALUE
2022-11-23T01:32:37.8777556Z 
2022-11-23T01:32:37.8777619Z  
2022-11-23T01:32:37.8777892Z [2022-11-23 01:25:21,492] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8777998Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_328)
2022-11-23T01:32:37.8778085Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8778162Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8778237Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.8778324Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.8778427Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.8778527Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8778614Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8778688Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.8778776Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8778863Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8778938Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.8779023Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.8779097Z              26 RETURN_VALUE
2022-11-23T01:32:37.8779102Z 
2022-11-23T01:32:37.8779161Z  
2022-11-23T01:32:37.8779345Z [2022-11-23 01:25:21,494] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.8779416Z  - 
2022-11-23T01:32:37.8779523Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.8779585Z             {
2022-11-23T01:32:37.8779723Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.8779908Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.8780026Z                 'obj_weakref': None
2022-11-23T01:32:37.8780247Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.8780311Z             }
2022-11-23T01:32:37.8780362Z             
2022-11-23T01:32:37.8780430Z  - 
2022-11-23T01:32:37.8780555Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.8780617Z             {
2022-11-23T01:32:37.8780757Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8780862Z                 'code': None,
2022-11-23T01:32:37.8781059Z                 'obj_weakref': <weakref at 0x7f710cd87ad0; to 'Tensor' at 0x7f71300bec50>
2022-11-23T01:32:37.8781305Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8781366Z             }
2022-11-23T01:32:37.8781456Z             
2022-11-23T01:32:37.8781525Z  - 
2022-11-23T01:32:37.8781653Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.8781715Z             {
2022-11-23T01:32:37.8781835Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.8782002Z                 'code': ['___check_obj_id(model, 140123394835376)'],
2022-11-23T01:32:37.8782119Z                 'obj_weakref': None
2022-11-23T01:32:37.8782374Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.8782438Z             }
2022-11-23T01:32:37.8782499Z             
2022-11-23T01:32:37.8782567Z  - 
2022-11-23T01:32:37.8782675Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.8782738Z             {
2022-11-23T01:32:37.8782870Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.8783084Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.8783199Z                 'obj_weakref': None
2022-11-23T01:32:37.8783418Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.8783480Z             }
2022-11-23T01:32:37.8783541Z             
2022-11-23T01:32:37.8783596Z  - 
2022-11-23T01:32:37.8783729Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.8783791Z             {
2022-11-23T01:32:37.8783908Z                 'guard_types': None,
2022-11-23T01:32:37.8784012Z                 'code': None,
2022-11-23T01:32:37.8784133Z                 'obj_weakref': None
2022-11-23T01:32:37.8784239Z                 'guarded_class': None
2022-11-23T01:32:37.8784302Z             }
2022-11-23T01:32:37.8784364Z             
2022-11-23T01:32:37.8784707Z [2022-11-23 01:25:21,504] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 321
2022-11-23T01:32:37.8785075Z [2022-11-23 01:25:24,047] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ie/cieftwfrx6vve2fsavvwhv23trk2a3k6gwdkaexve6ap4cozyiyz.py
2022-11-23T01:32:37.8785342Z [2022-11-23 01:25:24,048] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 321
2022-11-23T01:32:37.8785348Z 
2022-11-23T01:32:37.8785441Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.8785511Z import torch
2022-11-23T01:32:37.8785567Z import random
2022-11-23T01:32:37.8785683Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.8785804Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.8785814Z 
2022-11-23T01:32:37.8785893Z aten = torch.ops.aten
2022-11-23T01:32:37.8786028Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.8786120Z async_compile = AsyncCompile()
2022-11-23T01:32:37.8786125Z 
2022-11-23T01:32:37.8786130Z 
2022-11-23T01:32:37.8786262Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.8786466Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.8786575Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.8786677Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.8786774Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.8786836Z {
2022-11-23T01:32:37.8786935Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.8786998Z     {
2022-11-23T01:32:37.8787074Z         #pragma omp for 
2022-11-23T01:32:37.8787143Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.8787206Z         {
2022-11-23T01:32:37.8787272Z             {
2022-11-23T01:32:37.8787337Z                 {
2022-11-23T01:32:37.8787428Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.8787530Z                     auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:37.8787620Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.8787691Z                     out_ptr0[i0] = tmp0;
2022-11-23T01:32:37.8787773Z                     out_ptr1[i0] = tmp2;
2022-11-23T01:32:37.8787836Z                 }
2022-11-23T01:32:37.8787933Z             }
2022-11-23T01:32:37.8787995Z         }
2022-11-23T01:32:37.8788055Z     }
2022-11-23T01:32:37.8788100Z }
2022-11-23T01:32:37.8788176Z ''')
2022-11-23T01:32:37.8788181Z 
2022-11-23T01:32:37.8788186Z 
2022-11-23T01:32:37.8788274Z async_compile.wait(globals())
2022-11-23T01:32:37.8788346Z del async_compile
2022-11-23T01:32:37.8788350Z 
2022-11-23T01:32:37.8788419Z def call(args):
2022-11-23T01:32:37.8788489Z     arg0_1, = args
2022-11-23T01:32:37.8788558Z     args.clear()
2022-11-23T01:32:37.8788780Z     buf0 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8788970Z     buf1 = empty_strided((8, 1, 1), (1, 8, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8789134Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.8789203Z     del arg0_1
2022-11-23T01:32:37.8789280Z     return (buf0, buf1, )
2022-11-23T01:32:37.8789286Z 
2022-11-23T01:32:37.8789290Z 
2022-11-23T01:32:37.8789369Z if __name__ == "__main__":
2022-11-23T01:32:37.8789481Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.8789604Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.8789805Z     arg0_1 = rand_strided((8, 1, 1), (1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8789899Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.8789904Z 
2022-11-23T01:32:37.8789971Z ok (2.585s)
2022-11-23T01:32:37.8790280Z   test_permute_cpu (__main__.CpuTests) ... [2022-11-23 01:25:24,059] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.8790549Z [2022-11-23 01:25:24,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.8790766Z [2022-11-23 01:25:24,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.8791017Z [2022-11-23 01:25:24,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.8791304Z [2022-11-23 01:25:24,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.8791624Z [2022-11-23 01:25:24,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.8791952Z [2022-11-23 01:25:24,060] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f647b8a0, file "inductor/test_torchinductor.py", line 1251> 
2022-11-23T01:32:37.8792036Z  1253           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.8792133Z                2 LOAD_METHOD              1 (permute)
2022-11-23T01:32:37.8792221Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.8792310Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:37.8792384Z                8 BINARY_ADD
2022-11-23T01:32:37.8792471Z               10 LOAD_CONST               2 (2)
2022-11-23T01:32:37.8792558Z               12 LOAD_CONST               1 (1)
2022-11-23T01:32:37.8792644Z               14 LOAD_CONST               3 (4)
2022-11-23T01:32:37.8792719Z               16 LOAD_CONST               4 (0)
2022-11-23T01:32:37.8792802Z               18 LOAD_CONST               5 (3)
2022-11-23T01:32:37.8792888Z               20 BUILD_LIST               5
2022-11-23T01:32:37.8792974Z               22 CALL_METHOD              2
2022-11-23T01:32:37.8793058Z               24 LOAD_CONST               2 (2)
2022-11-23T01:32:37.8793132Z               26 BINARY_ADD
2022-11-23T01:32:37.8793137Z 
2022-11-23T01:32:37.8793229Z 1254          28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.8793313Z               30 LOAD_METHOD              1 (permute)
2022-11-23T01:32:37.8793398Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:37.8793483Z               34 LOAD_CONST               2 (2)
2022-11-23T01:32:37.8793568Z               36 LOAD_CONST               1 (1)
2022-11-23T01:32:37.8793653Z               38 LOAD_CONST               3 (4)
2022-11-23T01:32:37.8793778Z               40 LOAD_CONST               4 (0)
2022-11-23T01:32:37.8793860Z               42 LOAD_CONST               5 (3)
2022-11-23T01:32:37.8793935Z               44 BUILD_LIST               5
2022-11-23T01:32:37.8794019Z               46 CALL_METHOD              2
2022-11-23T01:32:37.8794104Z               48 LOAD_CONST               2 (2)
2022-11-23T01:32:37.8794175Z               50 BINARY_ADD
2022-11-23T01:32:37.8794292Z               52 BUILD_TUPLE              2
2022-11-23T01:32:37.8794368Z               54 RETURN_VALUE
2022-11-23T01:32:37.8794428Z  
2022-11-23T01:32:37.8794433Z 
2022-11-23T01:32:37.8794702Z [2022-11-23 01:25:24,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1253
2022-11-23T01:32:37.8794908Z [2022-11-23 01:25:24,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.8795277Z [2022-11-23 01:25:24,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR permute [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8795605Z [2022-11-23 01:25:24,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method permute of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8795961Z [2022-11-23 01:25:24,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method permute of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8796357Z [2022-11-23 01:25:24,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method permute of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8796709Z [2022-11-23 01:25:24,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method permute of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8797095Z [2022-11-23 01:25:24,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method permute of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8797656Z [2022-11-23 01:25:24,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<built-in method permute of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8798121Z [2022-11-23 01:25:24,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method permute of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8798627Z [2022-11-23 01:25:24,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<built-in method permute of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8799171Z [2022-11-23 01:25:24,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 5 [TorchVariable(<built-in method permute of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8799553Z [2022-11-23 01:25:24,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method permute of type object at 0x7f71f2abebc0>), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.8799789Z [2022-11-23 01:25:24,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:37.8800067Z [2022-11-23 01:25:24,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8800322Z [2022-11-23 01:25:24,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1254
2022-11-23T01:32:37.8800571Z [2022-11-23 01:25:24,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.8801020Z [2022-11-23 01:25:24,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR permute [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8801410Z [2022-11-23 01:25:24,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8801797Z [2022-11-23 01:25:24,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8802217Z [2022-11-23 01:25:24,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8802677Z [2022-11-23 01:25:24,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8803174Z [2022-11-23 01:25:24,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8803708Z [2022-11-23 01:25:24,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8804268Z [2022-11-23 01:25:24,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 5 [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8804679Z [2022-11-23 01:25:24,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method permute of type object at 0x7f71f2abebc0>), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.8804947Z [2022-11-23 01:25:24,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8805256Z [2022-11-23 01:25:24,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8805521Z [2022-11-23 01:25:24,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8805765Z [2022-11-23 01:25:24,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.8806085Z [2022-11-23 01:25:24,074] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f647b8a0, file "inductor/test_torchinductor.py", line 1251>
2022-11-23T01:32:37.8806329Z [2022-11-23 01:25:24,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.8806560Z [2022-11-23 01:25:24,074] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.8806814Z [2022-11-23 01:25:24,076] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.8807060Z [2022-11-23 01:25:24,087] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.8807246Z [2022-11-23 01:25:24,088] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.8807379Z  __compiled_fn_329 <eval_with_key>.2051 opcode, name, target, args, kwargs
2022-11-23T01:32:37.8807468Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.8807662Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.8807914Z call_function, permute, <built-in method permute of type object at 0x7f71f2abebc0>, (add, [2, 1, 4, 0, 3]), {}
2022-11-23T01:32:37.8808094Z call_function, add_1, <built-in function add>, (permute, 2), {}
2022-11-23T01:32:37.8808347Z call_function, permute_1, <built-in method permute of type object at 0x7f71f2abebc0>, (ex_0_, [2, 1, 4, 0, 3]), {}
2022-11-23T01:32:37.8808553Z call_function, add_2, <built-in function add>, (permute_1, 2), {}
2022-11-23T01:32:37.8808656Z output, output, output, ((add_1, add_2),), {}
2022-11-23T01:32:37.8808661Z 
2022-11-23T01:32:37.8808937Z [2022-11-23 01:25:24,088] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8809029Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.8809118Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8809197Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.8809287Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.8809363Z               8 RETURN_VALUE
2022-11-23T01:32:37.8809369Z 
2022-11-23T01:32:37.8809429Z  
2022-11-23T01:32:37.8809702Z [2022-11-23 01:25:24,089] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8809808Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_329)
2022-11-23T01:32:37.8809898Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8809975Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8810049Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.8810136Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.8810237Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.8810337Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8810422Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8810499Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.8810587Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8810674Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8810748Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.8810834Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.8810907Z              26 RETURN_VALUE
2022-11-23T01:32:37.8810912Z 
2022-11-23T01:32:37.8810973Z  
2022-11-23T01:32:37.8811157Z [2022-11-23 01:25:24,090] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.8811228Z  - 
2022-11-23T01:32:37.8811333Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.8811399Z             {
2022-11-23T01:32:37.8811539Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.8811726Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.8811846Z                 'obj_weakref': None
2022-11-23T01:32:37.8812069Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.8812136Z             }
2022-11-23T01:32:37.8812187Z             
2022-11-23T01:32:37.8812257Z  - 
2022-11-23T01:32:37.8812381Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.8812447Z             {
2022-11-23T01:32:37.8812588Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8812696Z                 'code': None,
2022-11-23T01:32:37.8812906Z                 'obj_weakref': <weakref at 0x7f7129eaea10; to 'Tensor' at 0x7f7129e91590>
2022-11-23T01:32:37.8813141Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8813208Z             }
2022-11-23T01:32:37.8813276Z             
2022-11-23T01:32:37.8813346Z  - 
2022-11-23T01:32:37.8813477Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.8813542Z             {
2022-11-23T01:32:37.8813675Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.8813895Z                 'code': ['___check_obj_id(model, 140123062819872)'],
2022-11-23T01:32:37.8814012Z                 'obj_weakref': None
2022-11-23T01:32:37.8814242Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.8814306Z             }
2022-11-23T01:32:37.8814371Z             
2022-11-23T01:32:37.8814440Z  - 
2022-11-23T01:32:37.8814561Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.8814613Z             {
2022-11-23T01:32:37.8814787Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.8815004Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.8815122Z                 'obj_weakref': None
2022-11-23T01:32:37.8815339Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.8815404Z             }
2022-11-23T01:32:37.8815466Z             
2022-11-23T01:32:37.8815522Z  - 
2022-11-23T01:32:37.8815658Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.8815723Z             {
2022-11-23T01:32:37.8815845Z                 'guard_types': None,
2022-11-23T01:32:37.8815951Z                 'code': None,
2022-11-23T01:32:37.8816069Z                 'obj_weakref': None
2022-11-23T01:32:37.8816176Z                 'guarded_class': None
2022-11-23T01:32:37.8816240Z             }
2022-11-23T01:32:37.8816303Z             
2022-11-23T01:32:37.8816562Z [2022-11-23 01:25:24,104] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 322
2022-11-23T01:32:37.8816927Z [2022-11-23 01:25:26,654] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tq/ctqcn7qq3z64pu27syeruq574ngfkldzja5yckhpa7ze3c2swi5f.py
2022-11-23T01:32:37.8817194Z [2022-11-23 01:25:26,655] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 322
2022-11-23T01:32:37.8817201Z 
2022-11-23T01:32:37.8817295Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.8817367Z import torch
2022-11-23T01:32:37.8817422Z import random
2022-11-23T01:32:37.8817538Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.8817662Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.8817667Z 
2022-11-23T01:32:37.8817745Z aten = torch.ops.aten
2022-11-23T01:32:37.8817881Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.8817974Z async_compile = AsyncCompile()
2022-11-23T01:32:37.8817979Z 
2022-11-23T01:32:37.8817986Z 
2022-11-23T01:32:37.8818118Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.8818321Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.8818428Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.8818526Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.8818621Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.8818681Z {
2022-11-23T01:32:37.8818781Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.8818842Z     {
2022-11-23T01:32:37.8818918Z         #pragma omp for 
2022-11-23T01:32:37.8818987Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:37.8819048Z         {
2022-11-23T01:32:37.8819193Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.8819325Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.8819413Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.8819542Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:37.8819625Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:37.8819705Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T01:32:37.8819785Z             tmp4.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.8819877Z             tmp5.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.8819938Z         }
2022-11-23T01:32:37.8820032Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.8820143Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:32:37.8820206Z         {
2022-11-23T01:32:37.8820291Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.8820377Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:37.8820458Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.8820556Z             auto tmp3 = static_cast<float>(2);
2022-11-23T01:32:37.8820638Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:37.8820719Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T01:32:37.8820825Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:37.8820903Z             out_ptr1[i0] = tmp5;
2022-11-23T01:32:37.8820953Z         }
2022-11-23T01:32:37.8821012Z     }
2022-11-23T01:32:37.8821071Z }
2022-11-23T01:32:37.8821147Z ''')
2022-11-23T01:32:37.8821153Z 
2022-11-23T01:32:37.8821157Z 
2022-11-23T01:32:37.8821244Z async_compile.wait(globals())
2022-11-23T01:32:37.8821316Z del async_compile
2022-11-23T01:32:37.8821321Z 
2022-11-23T01:32:37.8821391Z def call(args):
2022-11-23T01:32:37.8821450Z     arg0_1, = args
2022-11-23T01:32:37.8821519Z     args.clear()
2022-11-23T01:32:37.8821736Z     buf0 = empty_strided((2, 2, 2, 2, 2), (4, 8, 1, 16, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8821949Z     buf1 = empty_strided((2, 2, 2, 2, 2), (4, 8, 1, 16, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8822111Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.8822178Z     del arg0_1
2022-11-23T01:32:37.8822256Z     return (buf0, buf1, )
2022-11-23T01:32:37.8822261Z 
2022-11-23T01:32:37.8822266Z 
2022-11-23T01:32:37.8822341Z if __name__ == "__main__":
2022-11-23T01:32:37.8822441Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.8822562Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.8822776Z     arg0_1 = rand_strided((2, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8822882Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.8822889Z 
2022-11-23T01:32:37.8822955Z ok (2.607s)
2022-11-23T01:32:37.8823251Z   test_pow1_cpu (__main__.CpuTests) ... [2022-11-23 01:25:26,670] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.8823518Z [2022-11-23 01:25:26,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.8823736Z [2022-11-23 01:25:26,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.8823977Z [2022-11-23 01:25:26,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.8824259Z [2022-11-23 01:25:26,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.8824662Z [2022-11-23 01:25:26,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.8824995Z [2022-11-23 01:25:26,671] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f641ab70, file "inductor/test_torchinductor.py", line 2510> 
2022-11-23T01:32:37.8825091Z  2511           0 LOAD_CLOSURE             0 (x)
2022-11-23T01:32:37.8825183Z                2 BUILD_TUPLE              1
2022-11-23T01:32:37.8825368Z                4 LOAD_CONST               1 (<code object <listcomp> at 0x7f71f641aae0, file "inductor/test_torchinductor.py", line 2511>)
2022-11-23T01:32:37.8825607Z                6 LOAD_CONST               2 ('CommonTemplate.test_pow1.<locals>.fn.<locals>.<listcomp>')
2022-11-23T01:32:37.8825698Z                8 MAKE_FUNCTION            8
2022-11-23T01:32:37.8825780Z               10 LOAD_GLOBAL              0 (range)
2022-11-23T01:32:37.8825916Z               12 LOAD_CONST               3 (-8)
2022-11-23T01:32:37.8826006Z               14 LOAD_CONST               4 (9)
2022-11-23T01:32:37.8826096Z               16 CALL_FUNCTION            2
2022-11-23T01:32:37.8826200Z               18 GET_ITER
2022-11-23T01:32:37.8826291Z               20 CALL_FUNCTION            1
2022-11-23T01:32:37.8826367Z               22 RETURN_VALUE
2022-11-23T01:32:37.8826414Z  
2022-11-23T01:32:37.8826420Z 
2022-11-23T01:32:37.8826690Z [2022-11-23 01:25:26,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2511
2022-11-23T01:32:37.8826902Z [2022-11-23 01:25:26,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CLOSURE x []
2022-11-23T01:32:37.8827171Z [2022-11-23 01:25:26,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [NewCellVariable()]
2022-11-23T01:32:37.8827542Z [2022-11-23 01:25:26,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7f71f641aae0, file "inductor/test_torchinductor.py", line 2511> [TupleVariable()]
2022-11-23T01:32:37.8827905Z [2022-11-23 01:25:26,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_pow1.<locals>.fn.<locals>.<listcomp> [TupleVariable(), ConstantVariable(code)]
2022-11-23T01:32:37.8828224Z [2022-11-23 01:25:26,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 8 [TupleVariable(), ConstantVariable(code), ConstantVariable(str)]
2022-11-23T01:32:37.8828498Z [2022-11-23 01:25:26,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL range [NestedUserFunctionVariable()]
2022-11-23T01:32:37.8828805Z [2022-11-23 01:25:26,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -8 [NestedUserFunctionVariable(), BuiltinVariable(range)]
2022-11-23T01:32:37.8829142Z [2022-11-23 01:25:26,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9 [NestedUserFunctionVariable(), BuiltinVariable(range), ConstantVariable(int)]
2022-11-23T01:32:37.8829522Z [2022-11-23 01:25:26,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [NestedUserFunctionVariable(), BuiltinVariable(range), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.8829804Z [2022-11-23 01:25:26,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), RangeVariable()]
2022-11-23T01:32:37.8830115Z [2022-11-23 01:25:26,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8830449Z [2022-11-23 01:25:26,674] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7f71f641aae0, file "inductor/test_torchinductor.py", line 2511> 
2022-11-23T01:32:37.8830544Z  2511           0 BUILD_LIST               0
2022-11-23T01:32:37.8830633Z                2 LOAD_FAST                0 (.0)
2022-11-23T01:32:37.8830725Z          >>    4 FOR_ITER                16 (to 22)
2022-11-23T01:32:37.8830815Z                6 STORE_FAST               1 (e)
2022-11-23T01:32:37.8830907Z                8 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.8830989Z               10 LOAD_METHOD              1 (pow)
2022-11-23T01:32:37.8831078Z               12 LOAD_DEREF               0 (x)
2022-11-23T01:32:37.8831168Z               14 LOAD_FAST                1 (e)
2022-11-23T01:32:37.8831255Z               16 CALL_METHOD              2
2022-11-23T01:32:37.8831343Z               18 LIST_APPEND              2
2022-11-23T01:32:37.8831429Z               20 JUMP_ABSOLUTE            4
2022-11-23T01:32:37.8831504Z          >>   22 RETURN_VALUE
2022-11-23T01:32:37.8831552Z  
2022-11-23T01:32:37.8831557Z 
2022-11-23T01:32:37.8831769Z [2022-11-23 01:25:26,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T01:32:37.8832000Z [2022-11-23 01:25:26,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
2022-11-23T01:32:37.8832272Z [2022-11-23 01:25:26,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8832580Z [2022-11-23 01:25:26,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8832858Z [2022-11-23 01:25:26,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8833257Z [2022-11-23 01:25:26,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8833572Z [2022-11-23 01:25:26,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:37.8833946Z [2022-11-23 01:25:26,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:37.8834333Z [2022-11-23 01:25:26,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8834636Z [2022-11-23 01:25:26,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8834908Z [2022-11-23 01:25:26,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8835176Z [2022-11-23 01:25:26,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8835485Z [2022-11-23 01:25:26,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8835763Z [2022-11-23 01:25:26,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8836128Z [2022-11-23 01:25:26,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8836442Z [2022-11-23 01:25:26,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:37.8836784Z [2022-11-23 01:25:26,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:37.8837324Z [2022-11-23 01:25:26,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8837672Z [2022-11-23 01:25:26,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8837952Z [2022-11-23 01:25:26,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8838224Z [2022-11-23 01:25:26,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8838523Z [2022-11-23 01:25:26,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8838801Z [2022-11-23 01:25:26,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8839167Z [2022-11-23 01:25:26,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8839481Z [2022-11-23 01:25:26,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:37.8839826Z [2022-11-23 01:25:26,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:37.8840207Z [2022-11-23 01:25:26,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8840571Z [2022-11-23 01:25:26,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8840848Z [2022-11-23 01:25:26,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8841153Z [2022-11-23 01:25:26,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8841464Z [2022-11-23 01:25:26,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8841743Z [2022-11-23 01:25:26,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8842098Z [2022-11-23 01:25:26,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8842412Z [2022-11-23 01:25:26,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:37.8842750Z [2022-11-23 01:25:26,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:37.8843138Z [2022-11-23 01:25:26,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8843442Z [2022-11-23 01:25:26,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8843721Z [2022-11-23 01:25:26,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8843993Z [2022-11-23 01:25:26,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8844299Z [2022-11-23 01:25:26,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8844577Z [2022-11-23 01:25:26,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8844939Z [2022-11-23 01:25:26,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8845251Z [2022-11-23 01:25:26,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:37.8845586Z [2022-11-23 01:25:26,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:37.8845958Z [2022-11-23 01:25:26,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8846261Z [2022-11-23 01:25:26,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8846540Z [2022-11-23 01:25:26,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8846807Z [2022-11-23 01:25:26,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8847113Z [2022-11-23 01:25:26,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8847390Z [2022-11-23 01:25:26,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8847787Z [2022-11-23 01:25:26,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8848098Z [2022-11-23 01:25:26,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:37.8848465Z [2022-11-23 01:25:26,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:37.8848850Z [2022-11-23 01:25:26,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8849153Z [2022-11-23 01:25:26,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8849434Z [2022-11-23 01:25:26,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8849692Z [2022-11-23 01:25:26,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8849999Z [2022-11-23 01:25:26,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8850278Z [2022-11-23 01:25:26,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8850641Z [2022-11-23 01:25:26,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8850952Z [2022-11-23 01:25:26,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:37.8851296Z [2022-11-23 01:25:26,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:37.8851677Z [2022-11-23 01:25:26,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8851978Z [2022-11-23 01:25:26,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8852257Z [2022-11-23 01:25:26,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8852526Z [2022-11-23 01:25:26,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8852835Z [2022-11-23 01:25:26,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8853099Z [2022-11-23 01:25:26,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8853463Z [2022-11-23 01:25:26,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8853775Z [2022-11-23 01:25:26,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:37.8854111Z [2022-11-23 01:25:26,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:37.8854493Z [2022-11-23 01:25:26,786] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8854825Z [2022-11-23 01:25:26,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8855103Z [2022-11-23 01:25:26,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8855401Z [2022-11-23 01:25:26,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8855708Z [2022-11-23 01:25:26,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8855983Z [2022-11-23 01:25:26,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8856344Z [2022-11-23 01:25:26,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8856646Z [2022-11-23 01:25:26,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:37.8856985Z [2022-11-23 01:25:26,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:37.8857366Z [2022-11-23 01:25:26,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8857667Z [2022-11-23 01:25:26,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8857943Z [2022-11-23 01:25:26,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8858212Z [2022-11-23 01:25:26,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8858518Z [2022-11-23 01:25:26,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8858795Z [2022-11-23 01:25:26,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8859158Z [2022-11-23 01:25:26,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8859469Z [2022-11-23 01:25:26,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:37.8859808Z [2022-11-23 01:25:26,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:37.8860188Z [2022-11-23 01:25:26,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8860478Z [2022-11-23 01:25:26,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8860757Z [2022-11-23 01:25:26,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8861024Z [2022-11-23 01:25:26,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8861331Z [2022-11-23 01:25:26,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8861606Z [2022-11-23 01:25:26,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8862005Z [2022-11-23 01:25:26,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8862359Z [2022-11-23 01:25:26,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:37.8862698Z [2022-11-23 01:25:26,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:37.8863078Z [2022-11-23 01:25:26,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8863381Z [2022-11-23 01:25:26,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8863663Z [2022-11-23 01:25:26,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8863921Z [2022-11-23 01:25:26,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8864228Z [2022-11-23 01:25:26,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8864584Z [2022-11-23 01:25:26,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8864952Z [2022-11-23 01:25:26,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8865266Z [2022-11-23 01:25:26,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:37.8865609Z [2022-11-23 01:25:26,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:37.8865991Z [2022-11-23 01:25:26,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8866295Z [2022-11-23 01:25:26,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8866574Z [2022-11-23 01:25:26,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8866844Z [2022-11-23 01:25:26,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8867156Z [2022-11-23 01:25:26,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8867420Z [2022-11-23 01:25:26,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8867786Z [2022-11-23 01:25:26,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8868099Z [2022-11-23 01:25:26,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:37.8868437Z [2022-11-23 01:25:26,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:37.8868818Z [2022-11-23 01:25:26,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8869159Z [2022-11-23 01:25:26,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8869438Z [2022-11-23 01:25:26,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8869735Z [2022-11-23 01:25:26,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8870042Z [2022-11-23 01:25:26,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8870317Z [2022-11-23 01:25:26,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8870679Z [2022-11-23 01:25:26,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8870993Z [2022-11-23 01:25:26,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:37.8871320Z [2022-11-23 01:25:26,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:37.8871703Z [2022-11-23 01:25:26,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8872005Z [2022-11-23 01:25:26,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8872282Z [2022-11-23 01:25:26,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8872555Z [2022-11-23 01:25:26,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8872861Z [2022-11-23 01:25:26,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8873138Z [2022-11-23 01:25:26,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8873499Z [2022-11-23 01:25:26,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8873810Z [2022-11-23 01:25:26,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:37.8874147Z [2022-11-23 01:25:26,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:37.8874532Z [2022-11-23 01:25:26,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8874837Z [2022-11-23 01:25:26,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8875106Z [2022-11-23 01:25:26,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8875377Z [2022-11-23 01:25:26,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8875685Z [2022-11-23 01:25:26,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8875964Z [2022-11-23 01:25:26,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8876359Z [2022-11-23 01:25:26,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8876698Z [2022-11-23 01:25:26,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:37.8877040Z [2022-11-23 01:25:26,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:37.8877545Z [2022-11-23 01:25:26,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8877853Z [2022-11-23 01:25:26,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8878134Z [2022-11-23 01:25:26,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8878406Z [2022-11-23 01:25:26,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8878704Z [2022-11-23 01:25:26,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8878982Z [2022-11-23 01:25:26,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8879348Z [2022-11-23 01:25:26,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8879663Z [2022-11-23 01:25:26,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:37.8880007Z [2022-11-23 01:25:26,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:37.8880393Z [2022-11-23 01:25:26,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8880699Z [2022-11-23 01:25:26,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:37.8880979Z [2022-11-23 01:25:26,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8881249Z [2022-11-23 01:25:26,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:37.8881494Z [2022-11-23 01:25:26,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:37.8881840Z [2022-11-23 01:25:26,923] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7f71f641aae0, file "inductor/test_torchinductor.py", line 2511>
2022-11-23T01:32:37.8882067Z [2022-11-23 01:25:26,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:37.8882402Z [2022-11-23 01:25:26,923] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f641ab70, file "inductor/test_torchinductor.py", line 2510>
2022-11-23T01:32:37.8882643Z [2022-11-23 01:25:26,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:37.8882877Z [2022-11-23 01:25:26,923] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.8883132Z [2022-11-23 01:25:26,927] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.8883429Z [2022-11-23 01:25:26,952] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.8883618Z [2022-11-23 01:25:26,952] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.8883754Z  __compiled_fn_330 <eval_with_key>.2057 opcode, name, target, args, kwargs
2022-11-23T01:32:37.8883845Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.8884020Z call_function, pow_1, aten.pow, (ex_0_, -8), {}
2022-11-23T01:32:37.8884174Z call_function, pow_2, aten.pow, (ex_0_, -7), {}
2022-11-23T01:32:37.8884321Z call_function, pow_3, aten.pow, (ex_0_, -6), {}
2022-11-23T01:32:37.8884469Z call_function, pow_4, aten.pow, (ex_0_, -5), {}
2022-11-23T01:32:37.8884614Z call_function, pow_5, aten.pow, (ex_0_, -4), {}
2022-11-23T01:32:37.8884761Z call_function, pow_6, aten.pow, (ex_0_, -3), {}
2022-11-23T01:32:37.8884907Z call_function, pow_7, aten.pow, (ex_0_, -2), {}
2022-11-23T01:32:37.8885041Z call_function, pow_8, aten.pow, (ex_0_, -1), {}
2022-11-23T01:32:37.8885147Z call_function, pow_9, aten.pow, (ex_0_, 0), {}
2022-11-23T01:32:37.8885250Z call_function, pow_10, aten.pow, (ex_0_, 1), {}
2022-11-23T01:32:37.8885352Z call_function, pow_11, aten.pow, (ex_0_, 2), {}
2022-11-23T01:32:37.8885454Z call_function, pow_12, aten.pow, (ex_0_, 3), {}
2022-11-23T01:32:37.8885554Z call_function, pow_13, aten.pow, (ex_0_, 4), {}
2022-11-23T01:32:37.8885655Z call_function, pow_14, aten.pow, (ex_0_, 5), {}
2022-11-23T01:32:37.8885743Z call_function, pow_15, aten.pow, (ex_0_, 6), {}
2022-11-23T01:32:37.8885843Z call_function, pow_16, aten.pow, (ex_0_, 7), {}
2022-11-23T01:32:37.8885944Z call_function, pow_17, aten.pow, (ex_0_, 8), {}
2022-11-23T01:32:37.8886137Z output, output, output, ((pow_1, pow_2, pow_3, pow_4, pow_5, pow_6, pow_7, pow_8, pow_9, pow_10, pow_11, pow_12, pow_13, pow_14, pow_15, pow_16, pow_17),), {}
2022-11-23T01:32:37.8886146Z 
2022-11-23T01:32:37.8886422Z [2022-11-23 01:25:26,953] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8886520Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.8886605Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8886696Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.8886774Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.8886848Z               8 RETURN_VALUE
2022-11-23T01:32:37.8886853Z 
2022-11-23T01:32:37.8886916Z  
2022-11-23T01:32:37.8887189Z [2022-11-23 01:25:26,954] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8887299Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_330)
2022-11-23T01:32:37.8887389Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8887477Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8887554Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.8887629Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.8887733Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.8887833Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8887921Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8887999Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.8888099Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8888186Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8888250Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.8888348Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8888435Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:37.8888509Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.8888609Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8888694Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:37.8888771Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.8888890Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8888978Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:37.8889051Z              40 BINARY_SUBSCR
2022-11-23T01:32:37.8889149Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8889233Z              44 LOAD_CONST               6 (5)
2022-11-23T01:32:37.8889305Z              46 BINARY_SUBSCR
2022-11-23T01:32:37.8889430Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8889516Z              50 LOAD_CONST               7 (6)
2022-11-23T01:32:37.8889577Z              52 BINARY_SUBSCR
2022-11-23T01:32:37.8889675Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8889759Z              56 LOAD_CONST               8 (7)
2022-11-23T01:32:37.8889833Z              58 BINARY_SUBSCR
2022-11-23T01:32:37.8889931Z              60 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8890017Z              62 LOAD_CONST               9 (8)
2022-11-23T01:32:37.8890095Z              64 BINARY_SUBSCR
2022-11-23T01:32:37.8890179Z              66 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8890264Z              68 LOAD_CONST              10 (9)
2022-11-23T01:32:37.8890337Z              70 BINARY_SUBSCR
2022-11-23T01:32:37.8890435Z              72 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8890522Z              74 LOAD_CONST              11 (10)
2022-11-23T01:32:37.8890599Z              76 BINARY_SUBSCR
2022-11-23T01:32:37.8890696Z              78 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8890771Z              80 LOAD_CONST              12 (11)
2022-11-23T01:32:37.8890843Z              82 BINARY_SUBSCR
2022-11-23T01:32:37.8890941Z              84 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8891027Z              86 LOAD_CONST              13 (12)
2022-11-23T01:32:37.8891099Z              88 BINARY_SUBSCR
2022-11-23T01:32:37.8891195Z              90 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8891283Z              92 LOAD_CONST              14 (13)
2022-11-23T01:32:37.8891344Z              94 BINARY_SUBSCR
2022-11-23T01:32:37.8891440Z              96 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8891527Z              98 LOAD_CONST              15 (14)
2022-11-23T01:32:37.8891599Z             100 BINARY_SUBSCR
2022-11-23T01:32:37.8891696Z             102 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8891783Z             104 LOAD_CONST              16 (15)
2022-11-23T01:32:37.8891906Z             106 BINARY_SUBSCR
2022-11-23T01:32:37.8891990Z             108 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8892075Z             110 LOAD_CONST              17 (16)
2022-11-23T01:32:37.8892148Z             112 BINARY_SUBSCR
2022-11-23T01:32:37.8892231Z             114 BUILD_LIST              17
2022-11-23T01:32:37.8892305Z             116 RETURN_VALUE
2022-11-23T01:32:37.8892312Z 
2022-11-23T01:32:37.8892374Z  
2022-11-23T01:32:37.8892557Z [2022-11-23 01:25:26,955] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.8892614Z  - 
2022-11-23T01:32:37.8892731Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.8892795Z             {
2022-11-23T01:32:37.8892933Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.8893119Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.8893238Z                 'obj_weakref': None
2022-11-23T01:32:37.8893461Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.8893512Z             }
2022-11-23T01:32:37.8893575Z             
2022-11-23T01:32:37.8893644Z  - 
2022-11-23T01:32:37.8893765Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.8893829Z             {
2022-11-23T01:32:37.8893969Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8894073Z                 'code': None,
2022-11-23T01:32:37.8894299Z                 'obj_weakref': <weakref at 0x7f7106d06410; to 'Tensor' at 0x7f7106a30a10>
2022-11-23T01:32:37.8894548Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8894610Z             }
2022-11-23T01:32:37.8894671Z             
2022-11-23T01:32:37.8894739Z  - 
2022-11-23T01:32:37.8894867Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.8894929Z             {
2022-11-23T01:32:37.8895080Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.8895248Z                 'code': ['___check_obj_id(model, 140124011235664)'],
2022-11-23T01:32:37.8895365Z                 'obj_weakref': None
2022-11-23T01:32:37.8895592Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.8895654Z             }
2022-11-23T01:32:37.8895717Z             
2022-11-23T01:32:37.8895784Z  - 
2022-11-23T01:32:37.8895892Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.8895956Z             {
2022-11-23T01:32:37.8896091Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.8896303Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.8896416Z                 'obj_weakref': None
2022-11-23T01:32:37.8896633Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.8896694Z             }
2022-11-23T01:32:37.8896746Z             
2022-11-23T01:32:37.8896813Z  - 
2022-11-23T01:32:37.8896942Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.8897005Z             {
2022-11-23T01:32:37.8897122Z                 'guard_types': None,
2022-11-23T01:32:37.8897227Z                 'code': None,
2022-11-23T01:32:37.8897342Z                 'obj_weakref': None
2022-11-23T01:32:37.8897449Z                 'guarded_class': None
2022-11-23T01:32:37.8897510Z             }
2022-11-23T01:32:37.8897572Z             
2022-11-23T01:32:37.8897640Z  - 
2022-11-23T01:32:37.8897767Z             global 'range' BUILTIN_MATCH
2022-11-23T01:32:37.8897829Z             {
2022-11-23T01:32:37.8897946Z                 'guard_types': None,
2022-11-23T01:32:37.8898037Z                 'code': None,
2022-11-23T01:32:37.8898158Z                 'obj_weakref': None
2022-11-23T01:32:37.8898276Z                 'guarded_class': None
2022-11-23T01:32:37.8898338Z             }
2022-11-23T01:32:37.8898400Z             
2022-11-23T01:32:37.8898662Z [2022-11-23 01:25:26,990] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 323
2022-11-23T01:32:37.8899027Z [2022-11-23 01:25:29,599] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/x6/cx63wd3seosrcmjkqfk572g4d3fd5rqk5vwzv7cm5r65rlykw26j.py
2022-11-23T01:32:37.8899280Z [2022-11-23 01:25:29,600] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 323
2022-11-23T01:32:37.8899302Z 
2022-11-23T01:32:37.8899382Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.8899451Z import torch
2022-11-23T01:32:37.8899519Z import random
2022-11-23T01:32:37.8899633Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.8899753Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.8899758Z 
2022-11-23T01:32:37.8899835Z aten = torch.ops.aten
2022-11-23T01:32:37.8899968Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.8900045Z async_compile = AsyncCompile()
2022-11-23T01:32:37.8900053Z 
2022-11-23T01:32:37.8900057Z 
2022-11-23T01:32:37.8900187Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.8900388Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.8900506Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.8900604Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.8900697Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.8900820Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:37.8900910Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:37.8900988Z                        float* __restrict__ out_ptr4,
2022-11-23T01:32:37.8901078Z                        float* __restrict__ out_ptr5,
2022-11-23T01:32:37.8901168Z                        float* __restrict__ out_ptr6,
2022-11-23T01:32:37.8901258Z                        float* __restrict__ out_ptr7,
2022-11-23T01:32:37.8901383Z                        float* __restrict__ out_ptr8,
2022-11-23T01:32:37.8901476Z                        float* __restrict__ out_ptr9,
2022-11-23T01:32:37.8901573Z                        float* __restrict__ out_ptr10,
2022-11-23T01:32:37.8901657Z                        float* __restrict__ out_ptr11,
2022-11-23T01:32:37.8901750Z                        float* __restrict__ out_ptr12,
2022-11-23T01:32:37.8901842Z                        float* __restrict__ out_ptr13,
2022-11-23T01:32:37.8901933Z                        float* __restrict__ out_ptr14,
2022-11-23T01:32:37.8902027Z                        float* __restrict__ out_ptr15)
2022-11-23T01:32:37.8902088Z {
2022-11-23T01:32:37.8902183Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.8902233Z     {
2022-11-23T01:32:37.8902308Z         #pragma omp for 
2022-11-23T01:32:37.8902390Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:37.8902450Z         {
2022-11-23T01:32:37.8902600Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.8902699Z             auto tmp1 = tmp0.reciprocal();
2022-11-23T01:32:37.8902783Z             auto tmp2 = tmp1 * tmp1;
2022-11-23T01:32:37.8902852Z             auto tmp3 = tmp2 * tmp2;
2022-11-23T01:32:37.8902930Z             auto tmp4 = tmp3 * tmp3;
2022-11-23T01:32:37.8903009Z             auto tmp5 = tmp2 * tmp1;
2022-11-23T01:32:37.8903088Z             auto tmp6 = tmp5 * tmp5;
2022-11-23T01:32:37.8903166Z             auto tmp7 = tmp6 * tmp1;
2022-11-23T01:32:37.8903244Z             auto tmp8 = tmp3 * tmp1;
2022-11-23T01:32:37.8903378Z             auto tmp9 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.8903449Z             auto tmp10 = tmp0 * tmp0;
2022-11-23T01:32:37.8903533Z             auto tmp11 = tmp10 * tmp0;
2022-11-23T01:32:37.8903617Z             auto tmp12 = tmp10 * tmp10;
2022-11-23T01:32:37.8903698Z             auto tmp13 = tmp12 * tmp0;
2022-11-23T01:32:37.8903781Z             auto tmp14 = tmp11 * tmp11;
2022-11-23T01:32:37.8903863Z             auto tmp15 = tmp14 * tmp0;
2022-11-23T01:32:37.8903946Z             auto tmp16 = tmp12 * tmp12;
2022-11-23T01:32:37.8904025Z             tmp4.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.8904113Z             tmp7.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.8904201Z             tmp6.store(out_ptr2 + 16*i0);
2022-11-23T01:32:37.8904288Z             tmp8.store(out_ptr3 + 16*i0);
2022-11-23T01:32:37.8904376Z             tmp3.store(out_ptr4 + 16*i0);
2022-11-23T01:32:37.8904553Z             tmp5.store(out_ptr5 + 16*i0);
2022-11-23T01:32:37.8904644Z             tmp2.store(out_ptr6 + 16*i0);
2022-11-23T01:32:37.8904718Z             tmp1.store(out_ptr7 + 16*i0);
2022-11-23T01:32:37.8904804Z             tmp9.store(out_ptr8 + 16*i0);
2022-11-23T01:32:37.8904897Z             tmp10.store(out_ptr9 + 16*i0);
2022-11-23T01:32:37.8904992Z             tmp11.store(out_ptr10 + 16*i0);
2022-11-23T01:32:37.8905086Z             tmp12.store(out_ptr11 + 16*i0);
2022-11-23T01:32:37.8905177Z             tmp13.store(out_ptr12 + 16*i0);
2022-11-23T01:32:37.8905269Z             tmp14.store(out_ptr13 + 16*i0);
2022-11-23T01:32:37.8905358Z             tmp15.store(out_ptr14 + 16*i0);
2022-11-23T01:32:37.8905434Z             tmp16.store(out_ptr15 + 16*i0);
2022-11-23T01:32:37.8905498Z         }
2022-11-23T01:32:37.8905593Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.8905676Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:37.8905740Z         {
2022-11-23T01:32:37.8905825Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.8905928Z             auto tmp1 = 1 / tmp0;
2022-11-23T01:32:37.8906011Z             auto tmp2 = tmp1 * tmp1;
2022-11-23T01:32:37.8906092Z             auto tmp3 = tmp2 * tmp2;
2022-11-23T01:32:37.8906172Z             auto tmp4 = tmp3 * tmp3;
2022-11-23T01:32:37.8906251Z             auto tmp5 = tmp2 * tmp1;
2022-11-23T01:32:37.8906329Z             auto tmp6 = tmp5 * tmp5;
2022-11-23T01:32:37.8906407Z             auto tmp7 = tmp6 * tmp1;
2022-11-23T01:32:37.8906474Z             auto tmp8 = tmp3 * tmp1;
2022-11-23T01:32:37.8906612Z             auto tmp9 = static_cast<float>(1);
2022-11-23T01:32:37.8906696Z             auto tmp10 = tmp0 * tmp0;
2022-11-23T01:32:37.8906779Z             auto tmp11 = tmp10 * tmp0;
2022-11-23T01:32:37.8906861Z             auto tmp12 = tmp10 * tmp10;
2022-11-23T01:32:37.8906943Z             auto tmp13 = tmp12 * tmp0;
2022-11-23T01:32:37.8907027Z             auto tmp14 = tmp11 * tmp11;
2022-11-23T01:32:37.8907097Z             auto tmp15 = tmp14 * tmp0;
2022-11-23T01:32:37.8907177Z             auto tmp16 = tmp12 * tmp12;
2022-11-23T01:32:37.8907258Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:37.8907337Z             out_ptr1[i0] = tmp7;
2022-11-23T01:32:37.8907417Z             out_ptr2[i0] = tmp6;
2022-11-23T01:32:37.8907492Z             out_ptr3[i0] = tmp8;
2022-11-23T01:32:37.8907567Z             out_ptr4[i0] = tmp3;
2022-11-23T01:32:37.8907629Z             out_ptr5[i0] = tmp5;
2022-11-23T01:32:37.8907703Z             out_ptr6[i0] = tmp2;
2022-11-23T01:32:37.8907780Z             out_ptr7[i0] = tmp1;
2022-11-23T01:32:37.8907854Z             out_ptr8[i0] = tmp9;
2022-11-23T01:32:37.8907931Z             out_ptr9[i0] = tmp10;
2022-11-23T01:32:37.8908010Z             out_ptr10[i0] = tmp11;
2022-11-23T01:32:37.8908088Z             out_ptr11[i0] = tmp12;
2022-11-23T01:32:37.8908151Z             out_ptr12[i0] = tmp13;
2022-11-23T01:32:37.8908228Z             out_ptr13[i0] = tmp14;
2022-11-23T01:32:37.8908308Z             out_ptr14[i0] = tmp15;
2022-11-23T01:32:37.8908384Z             out_ptr15[i0] = tmp16;
2022-11-23T01:32:37.8908449Z         }
2022-11-23T01:32:37.8908511Z     }
2022-11-23T01:32:37.8908571Z }
2022-11-23T01:32:37.8908651Z ''')
2022-11-23T01:32:37.8908657Z 
2022-11-23T01:32:37.8908661Z 
2022-11-23T01:32:37.8908749Z async_compile.wait(globals())
2022-11-23T01:32:37.8908820Z del async_compile
2022-11-23T01:32:37.8908825Z 
2022-11-23T01:32:37.8908894Z def call(args):
2022-11-23T01:32:37.8908962Z     arg0_1, = args
2022-11-23T01:32:37.8909031Z     args.clear()
2022-11-23T01:32:37.8909233Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8909418Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8909613Z     buf2 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8909805Z     buf3 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8909992Z     buf4 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8910184Z     buf5 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8910375Z     buf6 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8910565Z     buf7 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8910755Z     buf8 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8910934Z     buf9 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8911132Z     buf10 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8911330Z     buf11 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8911525Z     buf12 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8911719Z     buf13 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8911911Z     buf14 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8912134Z     buf15 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8912686Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr()), c_void_p(buf11.data_ptr()), c_void_p(buf12.data_ptr()), c_void_p(buf13.data_ptr()), c_void_p(buf14.data_ptr()), c_void_p(buf15.data_ptr()))
2022-11-23T01:32:37.8912849Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, arg0_1, buf9, buf10, buf11, buf12, buf13, buf14, buf15, )
2022-11-23T01:32:37.8912855Z 
2022-11-23T01:32:37.8912859Z 
2022-11-23T01:32:37.8912937Z if __name__ == "__main__":
2022-11-23T01:32:37.8913051Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.8913164Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.8913361Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8913470Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.8913475Z 
2022-11-23T01:32:37.8913543Z ok (2.963s)
2022-11-23T01:32:37.8913850Z   test_pow2_cpu (__main__.CpuTests) ... [2022-11-23 01:25:29,632] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.8914122Z [2022-11-23 01:25:29,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.8914342Z [2022-11-23 01:25:29,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.8914598Z [2022-11-23 01:25:29,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.8914870Z [2022-11-23 01:25:29,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.8915196Z [2022-11-23 01:25:29,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.8915524Z [2022-11-23 01:25:29,632] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f641ac90, file "inductor/test_torchinductor.py", line 2519> 
2022-11-23T01:32:37.8915624Z  2520           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.8915720Z                2 LOAD_METHOD              1 (pow)
2022-11-23T01:32:37.8915814Z                4 LOAD_CONST               1 (1000)
2022-11-23T01:32:37.8915905Z                6 LOAD_FAST                0 (x)
2022-11-23T01:32:37.8915994Z                8 CALL_METHOD              2
2022-11-23T01:32:37.8916072Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.8916164Z               12 LOAD_METHOD              1 (pow)
2022-11-23T01:32:37.8916255Z               14 LOAD_FAST                0 (x)
2022-11-23T01:32:37.8916346Z               16 LOAD_CONST               1 (1000)
2022-11-23T01:32:37.8916435Z               18 CALL_METHOD              2
2022-11-23T01:32:37.8916524Z               20 BUILD_TUPLE              2
2022-11-23T01:32:37.8916605Z               22 RETURN_VALUE
2022-11-23T01:32:37.8916652Z  
2022-11-23T01:32:37.8916671Z 
2022-11-23T01:32:37.8916928Z [2022-11-23 01:25:29,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2520
2022-11-23T01:32:37.8917303Z [2022-11-23 01:25:29,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.8917656Z [2022-11-23 01:25:29,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8917914Z [2022-11-23 01:25:29,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1000 [TorchVariable(aten.pow)]
2022-11-23T01:32:37.8918202Z [2022-11-23 01:25:29,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.pow), ConstantVariable(int)]
2022-11-23T01:32:37.8918583Z [2022-11-23 01:25:29,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.pow), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.8918828Z [2022-11-23 01:25:29,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.8919194Z [2022-11-23 01:25:29,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.8919469Z [2022-11-23 01:25:29,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.pow)]
2022-11-23T01:32:37.8919782Z [2022-11-23 01:25:29,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1000 [TensorVariable(), TorchVariable(aten.pow), TensorVariable()]
2022-11-23T01:32:37.8920117Z [2022-11-23 01:25:29,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.8920389Z [2022-11-23 01:25:29,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8920635Z [2022-11-23 01:25:29,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.8920970Z [2022-11-23 01:25:29,671] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f641ac90, file "inductor/test_torchinductor.py", line 2519>
2022-11-23T01:32:37.8921215Z [2022-11-23 01:25:29,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.8921449Z [2022-11-23 01:25:29,671] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.8921705Z [2022-11-23 01:25:29,673] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.8921959Z [2022-11-23 01:25:29,681] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.8922148Z [2022-11-23 01:25:29,682] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.8922268Z  __compiled_fn_331 <eval_with_key>.2063 opcode, name, target, args, kwargs
2022-11-23T01:32:37.8922358Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.8922465Z call_function, pow_1, aten.pow, (1000, ex_0_), {}
2022-11-23T01:32:37.8922574Z call_function, pow_2, aten.pow, (ex_0_, 1000), {}
2022-11-23T01:32:37.8922682Z output, output, output, ((pow_1, pow_2),), {}
2022-11-23T01:32:37.8922687Z 
2022-11-23T01:32:37.8922962Z [2022-11-23 01:25:29,682] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8923053Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.8923143Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8923225Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.8923314Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.8923389Z               8 RETURN_VALUE
2022-11-23T01:32:37.8923394Z 
2022-11-23T01:32:37.8923454Z  
2022-11-23T01:32:37.8923727Z [2022-11-23 01:25:29,682] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8923835Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_331)
2022-11-23T01:32:37.8923926Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8924015Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8924078Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.8924164Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.8924265Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.8924364Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8924452Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8924579Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.8924677Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8924752Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8924829Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.8924915Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.8924989Z              26 RETURN_VALUE
2022-11-23T01:32:37.8924994Z 
2022-11-23T01:32:37.8925056Z  
2022-11-23T01:32:37.8925264Z [2022-11-23 01:25:29,684] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.8925332Z  - 
2022-11-23T01:32:37.8925439Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.8925501Z             {
2022-11-23T01:32:37.8925642Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.8925826Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.8925945Z                 'obj_weakref': None
2022-11-23T01:32:37.8926168Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.8926235Z             }
2022-11-23T01:32:37.8926285Z             
2022-11-23T01:32:37.8926355Z  - 
2022-11-23T01:32:37.8926481Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.8926543Z             {
2022-11-23T01:32:37.8926684Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8926789Z                 'code': None,
2022-11-23T01:32:37.8926998Z                 'obj_weakref': <weakref at 0x7f7106d06ef0; to 'Tensor' at 0x7f71069b5050>
2022-11-23T01:32:37.8927232Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8927295Z             }
2022-11-23T01:32:37.8927357Z             
2022-11-23T01:32:37.8927423Z  - 
2022-11-23T01:32:37.8927553Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.8927615Z             {
2022-11-23T01:32:37.8927747Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.8927904Z                 'code': ['___check_obj_id(model, 140123620770448)'],
2022-11-23T01:32:37.8928020Z                 'obj_weakref': None
2022-11-23T01:32:37.8928245Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.8928308Z             }
2022-11-23T01:32:37.8928369Z             
2022-11-23T01:32:37.8928436Z  - 
2022-11-23T01:32:37.8928555Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.8928605Z             {
2022-11-23T01:32:37.8928741Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.8928954Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.8929070Z                 'obj_weakref': None
2022-11-23T01:32:37.8929284Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.8929345Z             }
2022-11-23T01:32:37.8929409Z             
2022-11-23T01:32:37.8929464Z  - 
2022-11-23T01:32:37.8929595Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.8929657Z             {
2022-11-23T01:32:37.8929774Z                 'guard_types': None,
2022-11-23T01:32:37.8929877Z                 'code': None,
2022-11-23T01:32:37.8929992Z                 'obj_weakref': None
2022-11-23T01:32:37.8930109Z                 'guarded_class': None
2022-11-23T01:32:37.8930159Z             }
2022-11-23T01:32:37.8930219Z             
2022-11-23T01:32:37.8930479Z [2022-11-23 01:25:29,697] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 324
2022-11-23T01:32:37.8930848Z [2022-11-23 01:25:32,253] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bx/cbxsg4nklza2kgdgp62pm4xo2rszetdedt6gki6aoicsbzrmj44b.py
2022-11-23T01:32:37.8931111Z [2022-11-23 01:25:32,253] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 324
2022-11-23T01:32:37.8931121Z 
2022-11-23T01:32:37.8931213Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.8931310Z import torch
2022-11-23T01:32:37.8931377Z import random
2022-11-23T01:32:37.8931480Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.8931600Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.8931605Z 
2022-11-23T01:32:37.8931681Z aten = torch.ops.aten
2022-11-23T01:32:37.8931814Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.8931904Z async_compile = AsyncCompile()
2022-11-23T01:32:37.8931910Z 
2022-11-23T01:32:37.8931940Z 
2022-11-23T01:32:37.8932072Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.8932277Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.8932394Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.8932481Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.8932575Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.8932635Z {
2022-11-23T01:32:37.8932734Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.8932795Z     {
2022-11-23T01:32:37.8932870Z         #pragma omp for 
2022-11-23T01:32:37.8932953Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:37.8933002Z         {
2022-11-23T01:32:37.8933143Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.8933275Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(1000));
2022-11-23T01:32:37.8933366Z             auto tmp2 = tmp0.pow(tmp1);
2022-11-23T01:32:37.8933452Z             auto tmp3 = tmp1.pow(tmp0);
2022-11-23T01:32:37.8933543Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.8933633Z             tmp3.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.8933683Z         }
2022-11-23T01:32:37.8933777Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.8933858Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:37.8933920Z         {
2022-11-23T01:32:37.8934003Z             auto tmp1 = in_ptr0[i0];
2022-11-23T01:32:37.8934104Z             auto tmp0 = static_cast<float>(1000);
2022-11-23T01:32:37.8934204Z             auto tmp2 = std::pow(tmp0, tmp1);
2022-11-23T01:32:37.8934290Z             auto tmp3 = std::pow(tmp1, tmp0);
2022-11-23T01:32:37.8934368Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.8934445Z             out_ptr1[i0] = tmp3;
2022-11-23T01:32:37.8934506Z         }
2022-11-23T01:32:37.8934566Z     }
2022-11-23T01:32:37.8934625Z }
2022-11-23T01:32:37.8934703Z ''')
2022-11-23T01:32:37.8934711Z 
2022-11-23T01:32:37.8934715Z 
2022-11-23T01:32:37.8934791Z async_compile.wait(globals())
2022-11-23T01:32:37.8934861Z del async_compile
2022-11-23T01:32:37.8934866Z 
2022-11-23T01:32:37.8934934Z def call(args):
2022-11-23T01:32:37.8935002Z     arg0_1, = args
2022-11-23T01:32:37.8935071Z     args.clear()
2022-11-23T01:32:37.8935269Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8935464Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8935618Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.8935684Z     del arg0_1
2022-11-23T01:32:37.8935763Z     return (buf0, buf1, )
2022-11-23T01:32:37.8935767Z 
2022-11-23T01:32:37.8935772Z 
2022-11-23T01:32:37.8935846Z if __name__ == "__main__":
2022-11-23T01:32:37.8935959Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.8936081Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.8936278Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8936384Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.8936389Z 
2022-11-23T01:32:37.8936454Z ok (2.637s)
2022-11-23T01:32:37.8936737Z   test_pow3_cpu (__main__.CpuTests) ... [2022-11-23 01:25:32,268] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:37.8937003Z [2022-11-23 01:25:32,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2535
2022-11-23T01:32:37.8937251Z [2022-11-23 01:25:32,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.8937619Z [2022-11-23 01:25:32,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8937969Z [2022-11-23 01:25:32,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.123 [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8938334Z [2022-11-23 01:25:32,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(float)]
2022-11-23T01:32:37.8938770Z [2022-11-23 01:25:32,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(float), UserDefinedObjectVariable(CpuTests)]
2022-11-23T01:32:37.8939188Z [2022-11-23 01:25:32,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(float), ConstantVariable(str)]
2022-11-23T01:32:37.8939636Z [2022-11-23 01:25:32,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(float), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.8939877Z [2022-11-23 01:25:32,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST z [TensorVariable()]
2022-11-23T01:32:37.8940140Z [2022-11-23 01:25:32,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2536
2022-11-23T01:32:37.8940335Z [2022-11-23 01:25:32,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST z []
2022-11-23T01:32:37.8940569Z [2022-11-23 01:25:32,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:37.8940841Z [2022-11-23 01:25:32,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8941080Z [2022-11-23 01:25:32,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST w [TensorVariable()]
2022-11-23T01:32:37.8941343Z [2022-11-23 01:25:32,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2537
2022-11-23T01:32:37.8941557Z [2022-11-23 01:25:32,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.8941918Z [2022-11-23 01:25:32,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8942232Z [2022-11-23 01:25:32,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [TorchVariable(<built-in method pow of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8942580Z [2022-11-23 01:25:32,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.5 [TorchVariable(<built-in method pow of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8942967Z [2022-11-23 01:25:32,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method pow of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.8943212Z [2022-11-23 01:25:32,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.8943433Z [2022-11-23 01:25:32,280] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:37.8943672Z [2022-11-23 01:25:32,282] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:37.8943906Z [2022-11-23 01:25:32,291] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:37.8944092Z [2022-11-23 01:25:32,291] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.8944257Z  __compiled_fn_332 <eval_with_key>.2069 opcode, name, target, args, kwargs
2022-11-23T01:32:37.8944341Z placeholder, x, x, (), {}
2022-11-23T01:32:37.8944677Z call_function, tensor, <built-in method tensor of type object at 0x7f71f2abebc0>, (0.123,), {'device': 'cpu'}
2022-11-23T01:32:37.8944859Z call_function, add, <built-in function add>, (tensor, x), {}
2022-11-23T01:32:37.8945109Z call_function, pow_1, <built-in method pow of type object at 0x7f71f2abebc0>, (add, 0.5), {}
2022-11-23T01:32:37.8945207Z output, output, output, ((pow_1,),), {}
2022-11-23T01:32:37.8945212Z 
2022-11-23T01:32:37.8945488Z [2022-11-23 01:25:32,292] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 2534 
2022-11-23T01:32:37.8945585Z 2535           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.8945679Z                2 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:37.8945770Z                4 LOAD_CONST               1 (0.123)
2022-11-23T01:32:37.8945864Z                6 LOAD_DEREF               0 (self)
2022-11-23T01:32:37.8945956Z                8 LOAD_ATTR                2 (device)
2022-11-23T01:32:37.8946093Z               10 LOAD_CONST               2 (('device',))
2022-11-23T01:32:37.8946184Z               12 CALL_FUNCTION_KW         2
2022-11-23T01:32:37.8946275Z               14 STORE_FAST               1 (z)
2022-11-23T01:32:37.8946280Z 
2022-11-23T01:32:37.8946373Z 2536          16 LOAD_FAST                1 (z)
2022-11-23T01:32:37.8946460Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:37.8946533Z               20 BINARY_ADD
2022-11-23T01:32:37.8946622Z               22 STORE_FAST               2 (w)
2022-11-23T01:32:37.8946626Z 
2022-11-23T01:32:37.8946719Z 2537          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.8946800Z               26 LOAD_METHOD              3 (pow)
2022-11-23T01:32:37.8946885Z               28 LOAD_FAST                2 (w)
2022-11-23T01:32:37.8946977Z               30 LOAD_CONST               3 (0.5)
2022-11-23T01:32:37.8947066Z               32 CALL_METHOD              2
2022-11-23T01:32:37.8947143Z               34 RETURN_VALUE
2022-11-23T01:32:37.8947147Z 
2022-11-23T01:32:37.8947208Z  
2022-11-23T01:32:37.8947486Z [2022-11-23 01:25:32,292] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 2534 
2022-11-23T01:32:37.8947583Z 2534           0 LOAD_GLOBAL              4 (__compiled_fn_332)
2022-11-23T01:32:37.8947671Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:37.8947763Z                4 CALL_FUNCTION            1
2022-11-23T01:32:37.8947856Z                6 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.8947932Z                8 RETURN_VALUE
2022-11-23T01:32:37.8947937Z 
2022-11-23T01:32:37.8947997Z  
2022-11-23T01:32:37.8948176Z [2022-11-23 01:25:32,294] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.8948232Z  - 
2022-11-23T01:32:37.8948351Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:37.8948414Z             {
2022-11-23T01:32:37.8948553Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8948659Z                 'code': None,
2022-11-23T01:32:37.8948868Z                 'obj_weakref': <weakref at 0x7f71c0ea7d70; to 'Tensor' at 0x7f70f2dbd5f0>
2022-11-23T01:32:37.8949115Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8949180Z             }
2022-11-23T01:32:37.8949230Z             
2022-11-23T01:32:37.8949298Z  - 
2022-11-23T01:32:37.8949419Z             local 'self' TYPE_MATCH
2022-11-23T01:32:37.8949482Z             {
2022-11-23T01:32:37.8949619Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:37.8949787Z                 'code': ['___check_type_id(self, 107271137216416)'],
2022-11-23T01:32:37.8949987Z                 'obj_weakref': <weakref at 0x7f70f2d8e9b0; to 'CpuTests' at 0x7f71a9e67e50>
2022-11-23T01:32:37.8950247Z                 'guarded_class': <weakref at 0x7f71a9f8a3b0; to 'type' at 0x6190020747a0 (CpuTests)>
2022-11-23T01:32:37.8950309Z             }
2022-11-23T01:32:37.8950370Z             
2022-11-23T01:32:37.8950437Z  - 
2022-11-23T01:32:37.8950580Z             local 'self.device' CONSTANT_MATCH
2022-11-23T01:32:37.8950642Z             {
2022-11-23T01:32:37.8950771Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.8951029Z                 'code': ['___check_type_id(self.device, 94279403881280)', "self.device == 'cpu'"],
2022-11-23T01:32:37.8951147Z                 'obj_weakref': None
2022-11-23T01:32:37.8951362Z                 'guarded_class': <weakref at 0x7f71f66914d0; to 'type' at 0x55bf2260c340 (str)>
2022-11-23T01:32:37.8951426Z             }
2022-11-23T01:32:37.8951487Z             
2022-11-23T01:32:37.8951556Z  - 
2022-11-23T01:32:37.8951688Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.8951738Z             {
2022-11-23T01:32:37.8951857Z                 'guard_types': None,
2022-11-23T01:32:37.8951963Z                 'code': None,
2022-11-23T01:32:37.8952077Z                 'obj_weakref': None
2022-11-23T01:32:37.8952196Z                 'guarded_class': None
2022-11-23T01:32:37.8952258Z             }
2022-11-23T01:32:37.8952307Z             
2022-11-23T01:32:37.8952565Z [2022-11-23 01:25:32,308] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 325
2022-11-23T01:32:37.8952934Z [2022-11-23 01:25:34,833] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n7/cn7ix7rzjowagdhv6v7zk5pnur3ok6wjimgi5aqo6heppbscoqz6.py
2022-11-23T01:32:37.8953197Z [2022-11-23 01:25:34,833] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 325
2022-11-23T01:32:37.8953202Z 
2022-11-23T01:32:37.8953295Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.8953363Z import torch
2022-11-23T01:32:37.8953432Z import random
2022-11-23T01:32:37.8953548Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.8953657Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.8953675Z 
2022-11-23T01:32:37.8953739Z aten = torch.ops.aten
2022-11-23T01:32:37.8953871Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.8953963Z async_compile = AsyncCompile()
2022-11-23T01:32:37.8953968Z 
2022-11-23T01:32:37.8953972Z 
2022-11-23T01:32:37.8954107Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.8954316Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.8954436Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.8954537Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.8954585Z {
2022-11-23T01:32:37.8954646Z     {
2022-11-23T01:32:37.8954711Z         {
2022-11-23T01:32:37.8954798Z             auto tmp1 = in_ptr0[0];
2022-11-23T01:32:37.8954908Z             auto tmp0 = static_cast<float>(0.12300000339746475);
2022-11-23T01:32:37.8954997Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.8955092Z             auto tmp3 = std::sqrt(tmp2);
2022-11-23T01:32:37.8955157Z             out_ptr0[0] = tmp3;
2022-11-23T01:32:37.8955220Z         }
2022-11-23T01:32:37.8955282Z     }
2022-11-23T01:32:37.8955342Z }
2022-11-23T01:32:37.8955420Z ''')
2022-11-23T01:32:37.8955425Z 
2022-11-23T01:32:37.8955429Z 
2022-11-23T01:32:37.8955572Z async_compile.wait(globals())
2022-11-23T01:32:37.8955645Z del async_compile
2022-11-23T01:32:37.8955650Z 
2022-11-23T01:32:37.8955708Z def call(args):
2022-11-23T01:32:37.8955778Z     arg0_1, = args
2022-11-23T01:32:37.8955849Z     args.clear()
2022-11-23T01:32:37.8956037Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8956170Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.8956238Z     del arg0_1
2022-11-23T01:32:37.8956314Z     return (buf0, )
2022-11-23T01:32:37.8956318Z 
2022-11-23T01:32:37.8956322Z 
2022-11-23T01:32:37.8956430Z if __name__ == "__main__":
2022-11-23T01:32:37.8956530Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.8956652Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.8956842Z     arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8956950Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.8956955Z 
2022-11-23T01:32:37.8957022Z ok (2.576s)
2022-11-23T01:32:37.8957524Z   test_rand_like_deterministic_cpu (__main__.CpuTests) ... [2022-11-23 01:25:34,842] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:37.8957801Z [2022-11-23 01:25:34,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3876
2022-11-23T01:32:37.8958020Z [2022-11-23 01:25:34,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.8958382Z [2022-11-23 01:25:34,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rand_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8958709Z [2022-11-23 01:25:34,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method rand_like of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8959072Z [2022-11-23 01:25:34,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method rand_like of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8959321Z [2022-11-23 01:25:34,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.8959723Z [2022-11-23 01:25:34,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rand_like [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.8960075Z [2022-11-23 01:25:34,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method rand_like of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.8960465Z [2022-11-23 01:25:34,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method rand_like of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.8960734Z [2022-11-23 01:25:34,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8960983Z [2022-11-23 01:25:34,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.8961215Z [2022-11-23 01:25:34,850] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:37.8961457Z [2022-11-23 01:25:34,852] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:37.8961694Z [2022-11-23 01:25:34,858] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:37.8961868Z [2022-11-23 01:25:34,858] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.8962006Z  __compiled_fn_333 <eval_with_key>.2075 opcode, name, target, args, kwargs
2022-11-23T01:32:37.8962089Z placeholder, a, a, (), {}
2022-11-23T01:32:37.8962226Z call_function, rand_like_3, <function rand_like at 0x7f71c139cd40>, (a,), {}
2022-11-23T01:32:37.8962359Z call_function, rand_like_2, <function rand_like at 0x7f71c139cd40>, (a,), {}
2022-11-23T01:32:37.8962478Z output, output, output, ((rand_like_3, rand_like_2),), {}
2022-11-23T01:32:37.8962484Z 
2022-11-23T01:32:37.8962759Z [2022-11-23 01:25:34,859] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 3874 
2022-11-23T01:32:37.8962852Z 3876           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.8962936Z                2 LOAD_METHOD              1 (rand_like)
2022-11-23T01:32:37.8963025Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.8963112Z                6 CALL_METHOD              1
2022-11-23T01:32:37.8963246Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.8963343Z               10 LOAD_METHOD              1 (rand_like)
2022-11-23T01:32:37.8963431Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:37.8963517Z               14 CALL_METHOD              1
2022-11-23T01:32:37.8963591Z               16 BUILD_TUPLE              2
2022-11-23T01:32:37.8963669Z               18 RETURN_VALUE
2022-11-23T01:32:37.8963674Z 
2022-11-23T01:32:37.8963732Z  
2022-11-23T01:32:37.8964046Z [2022-11-23 01:25:34,859] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 3874 
2022-11-23T01:32:37.8964155Z 3874           0 LOAD_GLOBAL              2 (__compiled_fn_333)
2022-11-23T01:32:37.8964244Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:37.8964350Z                4 CALL_FUNCTION            1
2022-11-23T01:32:37.8964454Z                6 STORE_FAST               1 (___graph_out_0)
2022-11-23T01:32:37.8964545Z                8 LOAD_FAST                1 (___graph_out_0)
2022-11-23T01:32:37.8964636Z               10 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8964714Z               12 BINARY_SUBSCR
2022-11-23T01:32:37.8964814Z               14 LOAD_FAST                1 (___graph_out_0)
2022-11-23T01:32:37.8964903Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8964978Z               18 BINARY_SUBSCR
2022-11-23T01:32:37.8965066Z               20 BUILD_TUPLE              2
2022-11-23T01:32:37.8965131Z               22 RETURN_VALUE
2022-11-23T01:32:37.8965136Z 
2022-11-23T01:32:37.8965194Z  
2022-11-23T01:32:37.8965376Z [2022-11-23 01:25:34,860] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.8965445Z  - 
2022-11-23T01:32:37.8965562Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:37.8965626Z             {
2022-11-23T01:32:37.8965766Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8965859Z                 'code': None,
2022-11-23T01:32:37.8966069Z                 'obj_weakref': <weakref at 0x7f7106c323b0; to 'Tensor' at 0x7f71066b8890>
2022-11-23T01:32:37.8966321Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8966385Z             }
2022-11-23T01:32:37.8966448Z             
2022-11-23T01:32:37.8966514Z  - 
2022-11-23T01:32:37.8966647Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.8966699Z             {
2022-11-23T01:32:37.8966820Z                 'guard_types': None,
2022-11-23T01:32:37.8966925Z                 'code': None,
2022-11-23T01:32:37.8967043Z                 'obj_weakref': None
2022-11-23T01:32:37.8967162Z                 'guarded_class': None
2022-11-23T01:32:37.8967224Z             }
2022-11-23T01:32:37.8967287Z             
2022-11-23T01:32:37.8967533Z [2022-11-23 01:25:34,874] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 326
2022-11-23T01:32:37.8967783Z [2022-11-23 01:25:34,874] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager
2022-11-23T01:32:37.8968147Z [2022-11-23 01:25:37,404] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/c7/cc7vj3as7su3q6uixd6mpxppzxb6mxzfg7la2dc2ujsb33uitgmr.py
2022-11-23T01:32:37.8968408Z [2022-11-23 01:25:37,404] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 326
2022-11-23T01:32:37.8968413Z 
2022-11-23T01:32:37.8968505Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.8968576Z import torch
2022-11-23T01:32:37.8968645Z import random
2022-11-23T01:32:37.8968758Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.8968866Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.8968871Z 
2022-11-23T01:32:37.8968947Z aten = torch.ops.aten
2022-11-23T01:32:37.8969083Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.8969174Z async_compile = AsyncCompile()
2022-11-23T01:32:37.8969335Z seed_cpu_None = None  # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce
2022-11-23T01:32:37.8969375Z 
2022-11-23T01:32:37.8969379Z 
2022-11-23T01:32:37.8969511Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.8969716Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.8969833Z extern "C" void kernel(const long* __restrict__ seed0,
2022-11-23T01:32:37.8969920Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.8970042Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.8970103Z {
2022-11-23T01:32:37.8970200Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.8970263Z     {
2022-11-23T01:32:37.8970338Z         #pragma omp for 
2022-11-23T01:32:37.8970420Z         for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:37.8970471Z         {
2022-11-23T01:32:37.8970533Z             {
2022-11-23T01:32:37.8970597Z                 {
2022-11-23T01:32:37.8970683Z                     auto tmp0 = seed0[0];
2022-11-23T01:32:37.8970786Z                     auto tmp1 = static_cast<int>(i0);
2022-11-23T01:32:37.8970921Z                     auto tmp2 = static_cast<float>(normalized_rand_cpu(tmp0, tmp1));;
2022-11-23T01:32:37.8971026Z                     auto tmp3 = static_cast<int>(1024 + i0);
2022-11-23T01:32:37.8971155Z                     auto tmp4 = static_cast<float>(normalized_rand_cpu(tmp0, tmp3));;
2022-11-23T01:32:37.8971238Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.8971323Z                     out_ptr1[i0] = tmp4;
2022-11-23T01:32:37.8971387Z                 }
2022-11-23T01:32:37.8971449Z             }
2022-11-23T01:32:37.8971510Z         }
2022-11-23T01:32:37.8971570Z     }
2022-11-23T01:32:37.8971616Z }
2022-11-23T01:32:37.8971696Z ''')
2022-11-23T01:32:37.8971701Z 
2022-11-23T01:32:37.8971706Z 
2022-11-23T01:32:37.8971794Z async_compile.wait(globals())
2022-11-23T01:32:37.8971866Z del async_compile
2022-11-23T01:32:37.8971871Z 
2022-11-23T01:32:37.8971941Z def call(args):
2022-11-23T01:32:37.8972013Z     arg0_1, = args
2022-11-23T01:32:37.8972082Z     args.clear()
2022-11-23T01:32:37.8972201Z     torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None)
2022-11-23T01:32:37.8972395Z     buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8972587Z     buf1 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8972760Z     kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.8972837Z     return (buf0, buf1, )
2022-11-23T01:32:37.8972842Z 
2022-11-23T01:32:37.8972846Z 
2022-11-23T01:32:37.8972920Z if __name__ == "__main__":
2022-11-23T01:32:37.8973032Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.8973152Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.8973332Z     seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.8973526Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.8973634Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.8973639Z 
2022-11-23T01:32:37.8973704Z ok (2.582s)
2022-11-23T01:32:37.8974017Z   test_reduction1_cpu (__main__.CpuTests) ... [2022-11-23 01:25:37,426] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.8974284Z [2022-11-23 01:25:37,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.8974500Z [2022-11-23 01:25:37,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.8974751Z [2022-11-23 01:25:37,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.8975039Z [2022-11-23 01:25:37,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.8975348Z [2022-11-23 01:25:37,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.8975701Z [2022-11-23 01:25:37,427] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f646c390, file "inductor/test_torchinductor.py", line 771> 
2022-11-23T01:32:37.8975791Z  772           0 LOAD_FAST                0 (a)
2022-11-23T01:32:37.8975883Z               2 LOAD_METHOD              0 (sum)
2022-11-23T01:32:37.8975971Z               4 CALL_METHOD              0
2022-11-23T01:32:37.8976084Z               6 LOAD_FAST                0 (a)
2022-11-23T01:32:37.8976176Z               8 LOAD_METHOD              1 (max)
2022-11-23T01:32:37.8976259Z              10 CALL_METHOD              0
2022-11-23T01:32:37.8976334Z              12 LOAD_FAST                0 (a)
2022-11-23T01:32:37.8976422Z              14 LOAD_METHOD              2 (min)
2022-11-23T01:32:37.8976505Z              16 CALL_METHOD              0
2022-11-23T01:32:37.8976590Z              18 LOAD_FAST                0 (a)
2022-11-23T01:32:37.8976685Z              20 LOAD_METHOD              3 (argmax)
2022-11-23T01:32:37.8976768Z              22 CALL_METHOD              0
2022-11-23T01:32:37.8976855Z              24 LOAD_FAST                0 (a)
2022-11-23T01:32:37.8976935Z              26 LOAD_METHOD              4 (argmin)
2022-11-23T01:32:37.8977018Z              28 CALL_METHOD              0
2022-11-23T01:32:37.8977101Z              30 BUILD_TUPLE              5
2022-11-23T01:32:37.8977178Z              32 RETURN_VALUE
2022-11-23T01:32:37.8977239Z  
2022-11-23T01:32:37.8977244Z 
2022-11-23T01:32:37.8977514Z [2022-11-23 01:25:37,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:772
2022-11-23T01:32:37.8977722Z [2022-11-23 01:25:37,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.8977960Z [2022-11-23 01:25:37,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:37.8978226Z [2022-11-23 01:25:37,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:37.8978462Z [2022-11-23 01:25:37,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:37.8978727Z [2022-11-23 01:25:37,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8979033Z [2022-11-23 01:25:37,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:32:37.8979295Z [2022-11-23 01:25:37,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8979590Z [2022-11-23 01:25:37,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8979921Z [2022-11-23 01:25:37,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:32:37.8980210Z [2022-11-23 01:25:37,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8980536Z [2022-11-23 01:25:37,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8980902Z [2022-11-23 01:25:37,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T01:32:37.8981220Z [2022-11-23 01:25:37,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8981562Z [2022-11-23 01:25:37,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8981982Z [2022-11-23 01:25:37,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T01:32:37.8982331Z [2022-11-23 01:25:37,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.8982607Z [2022-11-23 01:25:37,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.8982935Z [2022-11-23 01:25:37,441] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f646c390, file "inductor/test_torchinductor.py", line 771>
2022-11-23T01:32:37.8983179Z [2022-11-23 01:25:37,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.8983413Z [2022-11-23 01:25:37,441] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.8983667Z [2022-11-23 01:25:37,444] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.8983914Z [2022-11-23 01:25:37,452] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.8984099Z [2022-11-23 01:25:37,453] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.8984223Z  __compiled_fn_334 <eval_with_key>.2081 opcode, name, target, args, kwargs
2022-11-23T01:32:37.8984311Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.8984400Z call_method, sum_1, sum, (ex_0_,), {}
2022-11-23T01:32:37.8984586Z call_method, max_1, max, (ex_0_,), {}
2022-11-23T01:32:37.8984673Z call_method, min_1, min, (ex_0_,), {}
2022-11-23T01:32:37.8984769Z call_method, argmax, argmax, (ex_0_,), {}
2022-11-23T01:32:37.8984866Z call_method, argmin, argmin, (ex_0_,), {}
2022-11-23T01:32:37.8984982Z output, output, output, ((sum_1, max_1, min_1, argmax, argmin),), {}
2022-11-23T01:32:37.8985003Z 
2022-11-23T01:32:37.8985269Z [2022-11-23 01:25:37,454] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8985362Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.8985454Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8985548Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.8985639Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.8985718Z               8 RETURN_VALUE
2022-11-23T01:32:37.8985724Z 
2022-11-23T01:32:37.8985784Z  
2022-11-23T01:32:37.8986043Z [2022-11-23 01:25:37,454] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.8986149Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_334)
2022-11-23T01:32:37.8986240Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.8986330Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8986410Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.8986498Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.8986602Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.8986703Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8986779Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.8986854Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.8986956Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8987042Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.8987117Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.8987215Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8987302Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:37.8987365Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.8987463Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8987550Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:37.8987663Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.8987760Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.8987844Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:37.8987918Z              40 BINARY_SUBSCR
2022-11-23T01:32:37.8987992Z              42 BUILD_TUPLE              5
2022-11-23T01:32:37.8988065Z              44 RETURN_VALUE
2022-11-23T01:32:37.8988070Z 
2022-11-23T01:32:37.8988130Z  
2022-11-23T01:32:37.8988339Z [2022-11-23 01:25:37,456] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.8988409Z  - 
2022-11-23T01:32:37.8988526Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.8988625Z             {
2022-11-23T01:32:37.8988753Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.8988939Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.8989058Z                 'obj_weakref': None
2022-11-23T01:32:37.8989279Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.8989348Z             }
2022-11-23T01:32:37.8989412Z             
2022-11-23T01:32:37.8989482Z  - 
2022-11-23T01:32:37.8989591Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.8989653Z             {
2022-11-23T01:32:37.8989794Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.8989899Z                 'code': None,
2022-11-23T01:32:37.8990109Z                 'obj_weakref': <weakref at 0x7f70f28b9ad0; to 'Tensor' at 0x7f70f2d6eb30>
2022-11-23T01:32:37.8990357Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.8990421Z             }
2022-11-23T01:32:37.8990471Z             
2022-11-23T01:32:37.8990538Z  - 
2022-11-23T01:32:37.8990668Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.8990731Z             {
2022-11-23T01:32:37.8990862Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.8991032Z                 'code': ['___check_obj_id(model, 140126569040064)'],
2022-11-23T01:32:37.8991152Z                 'obj_weakref': None
2022-11-23T01:32:37.8991365Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.8991426Z             }
2022-11-23T01:32:37.8991487Z             
2022-11-23T01:32:37.8991554Z  - 
2022-11-23T01:32:37.8991674Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.8991737Z             {
2022-11-23T01:32:37.8991872Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.8992074Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.8992193Z                 'obj_weakref': None
2022-11-23T01:32:37.8992407Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.8992469Z             }
2022-11-23T01:32:37.8992532Z             
2022-11-23T01:32:37.8992791Z [2022-11-23 01:25:37,471] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 327
2022-11-23T01:32:37.8993159Z [2022-11-23 01:25:40,008] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mj/cmjpa6ag4mlrfd32b3wdhcshyijw7e6hsnnbpfcodbiseaxyfouj.py
2022-11-23T01:32:37.8993420Z [2022-11-23 01:25:40,009] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 327
2022-11-23T01:32:37.8993425Z 
2022-11-23T01:32:37.8993521Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.8993577Z import torch
2022-11-23T01:32:37.8993644Z import random
2022-11-23T01:32:37.8993759Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.8993878Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.8993883Z 
2022-11-23T01:32:37.8993959Z aten = torch.ops.aten
2022-11-23T01:32:37.8994092Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.8994183Z async_compile = AsyncCompile()
2022-11-23T01:32:37.8994220Z 
2022-11-23T01:32:37.8994224Z 
2022-11-23T01:32:37.8994345Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.8994546Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.8994669Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.8994769Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.8994867Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.8995002Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:37.8995098Z                        long* __restrict__ out_ptr3,
2022-11-23T01:32:37.8995217Z                        long* __restrict__ out_ptr4)
2022-11-23T01:32:37.8995265Z {
2022-11-23T01:32:37.8995327Z     {
2022-11-23T01:32:37.8995392Z         {
2022-11-23T01:32:37.8995470Z             float tmp1 = 0;
2022-11-23T01:32:37.8995714Z             float tmp2 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.8995841Z             float tmp3 = std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.8995959Z             struct IndexValue_7 {size_t index; float value;};
2022-11-23T01:32:37.8996165Z             IndexValue_7 tmp4{0, -std::numeric_limits<float>::infinity()};
2022-11-23T01:32:37.8996302Z             #pragma omp declare reduction(argmax : struct IndexValue_7 :\
2022-11-23T01:32:37.8996451Z                 omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:37.8996602Z                 omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:37.8996833Z             	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T01:32:37.8996951Z             struct IndexValue_8 {size_t index; float value;};
2022-11-23T01:32:37.8997084Z             IndexValue_8 tmp5{0, std::numeric_limits<float>::infinity()};
2022-11-23T01:32:37.8997394Z             #pragma omp declare reduction(argmin : struct IndexValue_8 :\
2022-11-23T01:32:37.8997542Z                 omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:37.8997690Z                 omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:37.8997835Z             	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T01:32:37.8997920Z             for(long i0=0; i0<3; i0+=1)
2022-11-23T01:32:37.8997984Z             {
2022-11-23T01:32:37.8998051Z                 {
2022-11-23T01:32:37.8998147Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.8998226Z                     tmp1 += tmp0;
2022-11-23T01:32:37.8998314Z                     tmp2 = std::max(tmp2, tmp0);
2022-11-23T01:32:37.8998412Z                     tmp3 = std::min(tmp3, tmp0);
2022-11-23T01:32:37.8998506Z                     if (tmp4.value < tmp0) {
2022-11-23T01:32:37.8998614Z                         tmp4.index = i0; tmp4.value = tmp0;
2022-11-23T01:32:37.8998685Z                     }
2022-11-23T01:32:37.8998779Z                     if (tmp5.value > tmp0) {
2022-11-23T01:32:37.8998885Z                         tmp5.index = i0; tmp5.value = tmp0;
2022-11-23T01:32:37.8998939Z                     }
2022-11-23T01:32:37.8999005Z                 }
2022-11-23T01:32:37.8999068Z             }
2022-11-23T01:32:37.8999149Z             out_ptr0[0] = tmp1;
2022-11-23T01:32:37.8999226Z             out_ptr1[0] = tmp2;
2022-11-23T01:32:37.8999302Z             out_ptr2[0] = tmp3;
2022-11-23T01:32:37.8999393Z             out_ptr3[0] = tmp4.index;
2022-11-23T01:32:37.8999463Z             out_ptr4[0] = tmp5.index;
2022-11-23T01:32:37.8999527Z         }
2022-11-23T01:32:37.8999589Z     }
2022-11-23T01:32:37.8999650Z }
2022-11-23T01:32:37.8999738Z ''')
2022-11-23T01:32:37.8999744Z 
2022-11-23T01:32:37.8999748Z 
2022-11-23T01:32:37.8999840Z async_compile.wait(globals())
2022-11-23T01:32:37.8999911Z del async_compile
2022-11-23T01:32:37.8999916Z 
2022-11-23T01:32:37.8999971Z def call(args):
2022-11-23T01:32:37.9000041Z     arg0_1, = args
2022-11-23T01:32:37.9000172Z     args.clear()
2022-11-23T01:32:37.9000360Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9000541Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9000718Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9000895Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.9001094Z     buf4 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.9001337Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:37.9001405Z     del arg0_1
2022-11-23T01:32:37.9001501Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:37.9001506Z 
2022-11-23T01:32:37.9001510Z 
2022-11-23T01:32:37.9001587Z if __name__ == "__main__":
2022-11-23T01:32:37.9001702Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9001827Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9002018Z     arg0_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9002124Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.9002129Z 
2022-11-23T01:32:37.9002184Z ok (2.596s)
2022-11-23T01:32:37.9002497Z   test_reduction2_cpu (__main__.CpuTests) ... [2022-11-23 01:25:40,021] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9002765Z [2022-11-23 01:25:40,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9002981Z [2022-11-23 01:25:40,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9003231Z [2022-11-23 01:25:40,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9003514Z [2022-11-23 01:25:40,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9003837Z [2022-11-23 01:25:40,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9004159Z [2022-11-23 01:25:40,021] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f646c4b0, file "inductor/test_torchinductor.py", line 777> 
2022-11-23T01:32:37.9004254Z  779           0 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9004337Z               2 LOAD_METHOD              0 (sum)
2022-11-23T01:32:37.9004423Z               4 CALL_METHOD              0
2022-11-23T01:32:37.9004511Z               6 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9004600Z               8 LOAD_METHOD              1 (max)
2022-11-23T01:32:37.9004683Z              10 CALL_METHOD              0
2022-11-23T01:32:37.9004768Z              12 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9004858Z              14 LOAD_METHOD              2 (min)
2022-11-23T01:32:37.9004929Z              16 CALL_METHOD              0
2022-11-23T01:32:37.9005013Z              18 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9005106Z              20 LOAD_METHOD              3 (argmin)
2022-11-23T01:32:37.9005189Z              22 CALL_METHOD              0
2022-11-23T01:32:37.9005275Z              24 BUILD_TUPLE              4
2022-11-23T01:32:37.9005350Z              26 RETURN_VALUE
2022-11-23T01:32:37.9005413Z  
2022-11-23T01:32:37.9005418Z 
2022-11-23T01:32:37.9005682Z [2022-11-23 01:25:40,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:779
2022-11-23T01:32:37.9005878Z [2022-11-23 01:25:40,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.9006118Z [2022-11-23 01:25:40,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:37.9006396Z [2022-11-23 01:25:40,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:37.9006659Z [2022-11-23 01:25:40,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:37.9006925Z [2022-11-23 01:25:40,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9007258Z [2022-11-23 01:25:40,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:32:37.9007523Z [2022-11-23 01:25:40,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9007816Z [2022-11-23 01:25:40,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9008145Z [2022-11-23 01:25:40,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:32:37.9008422Z [2022-11-23 01:25:40,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9008744Z [2022-11-23 01:25:40,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9009111Z [2022-11-23 01:25:40,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T01:32:37.9009431Z [2022-11-23 01:25:40,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9009674Z [2022-11-23 01:25:40,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9010001Z [2022-11-23 01:25:40,030] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f646c4b0, file "inductor/test_torchinductor.py", line 777>
2022-11-23T01:32:37.9010246Z [2022-11-23 01:25:40,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9010479Z [2022-11-23 01:25:40,030] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9010731Z [2022-11-23 01:25:40,032] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9010977Z [2022-11-23 01:25:40,039] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9011165Z [2022-11-23 01:25:40,039] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9011286Z  __compiled_fn_335 <eval_with_key>.2087 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9011374Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9011462Z call_method, sum_1, sum, (ex_0_,), {}
2022-11-23T01:32:37.9011549Z call_method, max_1, max, (ex_0_,), {}
2022-11-23T01:32:37.9011635Z call_method, min_1, min, (ex_0_,), {}
2022-11-23T01:32:37.9011730Z call_method, argmin, argmin, (ex_0_,), {}
2022-11-23T01:32:37.9011849Z output, output, output, ((sum_1, max_1, min_1, argmin),), {}
2022-11-23T01:32:37.9011855Z 
2022-11-23T01:32:37.9012115Z [2022-11-23 01:25:40,040] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9012209Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9012299Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9012389Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9012478Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9012553Z               8 RETURN_VALUE
2022-11-23T01:32:37.9012559Z 
2022-11-23T01:32:37.9012618Z  
2022-11-23T01:32:37.9012886Z [2022-11-23 01:25:40,040] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9013046Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_335)
2022-11-23T01:32:37.9013135Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9013224Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9013299Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9013389Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.9013493Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.9013622Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9013699Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9013774Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.9013874Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9013961Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9014036Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.9014135Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9014226Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:37.9014287Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.9014389Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9014475Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:37.9014550Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.9014637Z              36 BUILD_TUPLE              4
2022-11-23T01:32:37.9014710Z              38 RETURN_VALUE
2022-11-23T01:32:37.9014715Z 
2022-11-23T01:32:37.9014779Z  
2022-11-23T01:32:37.9014958Z [2022-11-23 01:25:40,041] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9015014Z  - 
2022-11-23T01:32:37.9015131Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9015195Z             {
2022-11-23T01:32:37.9015335Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9015518Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.9015636Z                 'obj_weakref': None
2022-11-23T01:32:37.9015858Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9015909Z             }
2022-11-23T01:32:37.9015973Z             
2022-11-23T01:32:37.9016040Z  - 
2022-11-23T01:32:37.9016163Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9016226Z             {
2022-11-23T01:32:37.9016366Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9016459Z                 'code': None,
2022-11-23T01:32:37.9016667Z                 'obj_weakref': <weakref at 0x7f7106d805f0; to 'Tensor' at 0x7f70f2e3a7d0>
2022-11-23T01:32:37.9016911Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9016973Z             }
2022-11-23T01:32:37.9017035Z             
2022-11-23T01:32:37.9017104Z  - 
2022-11-23T01:32:37.9017236Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9017297Z             {
2022-11-23T01:32:37.9017418Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9017586Z                 'code': ['___check_obj_id(model, 140123423793808)'],
2022-11-23T01:32:37.9017704Z                 'obj_weakref': None
2022-11-23T01:32:37.9017929Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9017991Z             }
2022-11-23T01:32:37.9018054Z             
2022-11-23T01:32:37.9018121Z  - 
2022-11-23T01:32:37.9018228Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9018292Z             {
2022-11-23T01:32:37.9018430Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9018643Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9018759Z                 'obj_weakref': None
2022-11-23T01:32:37.9018973Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9019035Z             }
2022-11-23T01:32:37.9019085Z             
2022-11-23T01:32:37.9019375Z [2022-11-23 01:25:40,051] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 328
2022-11-23T01:32:37.9019748Z [2022-11-23 01:25:42,569] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gf/cgfkb2vnmqdyfwm5jyqmj2ela6ayvbdnnxxtjyiwftpf2xxgyotu.py
2022-11-23T01:32:37.9020010Z [2022-11-23 01:25:42,570] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 328
2022-11-23T01:32:37.9020016Z 
2022-11-23T01:32:37.9020135Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9020204Z import torch
2022-11-23T01:32:37.9020275Z import random
2022-11-23T01:32:37.9020390Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9020498Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9020504Z 
2022-11-23T01:32:37.9020580Z aten = torch.ops.aten
2022-11-23T01:32:37.9020713Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9020805Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9020812Z 
2022-11-23T01:32:37.9020816Z 
2022-11-23T01:32:37.9020949Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9021153Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9021272Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9021373Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.9021457Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.9021548Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:37.9021642Z                        long* __restrict__ out_ptr3)
2022-11-23T01:32:37.9021707Z {
2022-11-23T01:32:37.9021769Z     {
2022-11-23T01:32:37.9021831Z         {
2022-11-23T01:32:37.9021906Z             float tmp1 = 0;
2022-11-23T01:32:37.9022108Z             float tmp2 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.9022229Z             float tmp3 = std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.9022348Z             struct IndexValue_9 {size_t index; float value;};
2022-11-23T01:32:37.9022479Z             IndexValue_9 tmp4{0, std::numeric_limits<float>::infinity()};
2022-11-23T01:32:37.9022614Z             #pragma omp declare reduction(argmin : struct IndexValue_9 :\
2022-11-23T01:32:37.9022762Z                 omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:37.9022909Z                 omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:37.9023047Z             	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T01:32:37.9023138Z             #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9023200Z             {
2022-11-23T01:32:37.9023373Z                 #pragma omp for reduction(+:tmp1) reduction(max:tmp2) reduction(min:tmp3) reduction(argmin:tmp4) 
2022-11-23T01:32:37.9023460Z                 for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.9023525Z                 {
2022-11-23T01:32:37.9023591Z                     {
2022-11-23T01:32:37.9023684Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.9023751Z                         tmp1 += tmp0;
2022-11-23T01:32:37.9023849Z                         tmp2 = std::max(tmp2, tmp0);
2022-11-23T01:32:37.9023947Z                         tmp3 = std::min(tmp3, tmp0);
2022-11-23T01:32:37.9024041Z                         if (tmp4.value > tmp0) {
2022-11-23T01:32:37.9024153Z                             tmp4.index = i0; tmp4.value = tmp0;
2022-11-23T01:32:37.9024220Z                         }
2022-11-23T01:32:37.9024287Z                     }
2022-11-23T01:32:37.9024339Z                 }
2022-11-23T01:32:37.9024400Z             }
2022-11-23T01:32:37.9024568Z             out_ptr0[0] = tmp1;
2022-11-23T01:32:37.9024651Z             out_ptr1[0] = tmp2;
2022-11-23T01:32:37.9024730Z             out_ptr2[0] = tmp3;
2022-11-23T01:32:37.9024815Z             out_ptr3[0] = tmp4.index;
2022-11-23T01:32:37.9024915Z         }
2022-11-23T01:32:37.9024963Z     }
2022-11-23T01:32:37.9025023Z }
2022-11-23T01:32:37.9025105Z ''')
2022-11-23T01:32:37.9025110Z 
2022-11-23T01:32:37.9025114Z 
2022-11-23T01:32:37.9025204Z async_compile.wait(globals())
2022-11-23T01:32:37.9025277Z del async_compile
2022-11-23T01:32:37.9025281Z 
2022-11-23T01:32:37.9025351Z def call(args):
2022-11-23T01:32:37.9025421Z     arg0_1, = args
2022-11-23T01:32:37.9025480Z     args.clear()
2022-11-23T01:32:37.9025697Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9025879Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9026053Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9026229Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.9026441Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:37.9026511Z     del arg0_1
2022-11-23T01:32:37.9026597Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:37.9026603Z 
2022-11-23T01:32:37.9026607Z 
2022-11-23T01:32:37.9026680Z if __name__ == "__main__":
2022-11-23T01:32:37.9026782Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9026902Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9027092Z     arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9027199Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.9027204Z 
2022-11-23T01:32:37.9027270Z ok (2.562s)
2022-11-23T01:32:37.9027583Z   test_reduction3_cpu (__main__.CpuTests) ... [2022-11-23 01:25:42,585] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9027851Z [2022-11-23 01:25:42,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9028068Z [2022-11-23 01:25:42,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9028311Z [2022-11-23 01:25:42,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9028596Z [2022-11-23 01:25:42,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9028920Z [2022-11-23 01:25:42,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9029245Z [2022-11-23 01:25:42,586] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f646c5d0, file "inductor/test_torchinductor.py", line 784> 
2022-11-23T01:32:37.9029336Z  786           0 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9029430Z               2 LOAD_METHOD              0 (sum)
2022-11-23T01:32:37.9029516Z               4 CALL_METHOD              0
2022-11-23T01:32:37.9029604Z               6 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9029685Z               8 LOAD_METHOD              1 (max)
2022-11-23T01:32:37.9029772Z              10 CALL_METHOD              0
2022-11-23T01:32:37.9029858Z              12 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9029945Z              14 LOAD_METHOD              2 (min)
2022-11-23T01:32:37.9030030Z              16 CALL_METHOD              0
2022-11-23T01:32:37.9030114Z              18 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9030210Z              20 LOAD_METHOD              3 (argmax)
2022-11-23T01:32:37.9030282Z              22 CALL_METHOD              0
2022-11-23T01:32:37.9030366Z              24 BUILD_TUPLE              4
2022-11-23T01:32:37.9030440Z              26 RETURN_VALUE
2022-11-23T01:32:37.9030501Z  
2022-11-23T01:32:37.9030506Z 
2022-11-23T01:32:37.9030771Z [2022-11-23 01:25:42,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:786
2022-11-23T01:32:37.9030980Z [2022-11-23 01:25:42,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.9031250Z [2022-11-23 01:25:42,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:37.9031527Z [2022-11-23 01:25:42,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:37.9031761Z [2022-11-23 01:25:42,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:37.9032040Z [2022-11-23 01:25:42,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9032345Z [2022-11-23 01:25:42,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:32:37.9032607Z [2022-11-23 01:25:42,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9032900Z [2022-11-23 01:25:42,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9033232Z [2022-11-23 01:25:42,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:32:37.9033522Z [2022-11-23 01:25:42,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9033851Z [2022-11-23 01:25:42,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9034214Z [2022-11-23 01:25:42,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T01:32:37.9034535Z [2022-11-23 01:25:42,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9034782Z [2022-11-23 01:25:42,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9035112Z [2022-11-23 01:25:42,597] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f646c5d0, file "inductor/test_torchinductor.py", line 784>
2022-11-23T01:32:37.9035343Z [2022-11-23 01:25:42,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9035580Z [2022-11-23 01:25:42,598] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9035832Z [2022-11-23 01:25:42,601] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9036082Z [2022-11-23 01:25:42,608] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9036270Z [2022-11-23 01:25:42,609] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9036408Z  __compiled_fn_336 <eval_with_key>.2093 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9036499Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9036592Z call_method, sum_1, sum, (ex_0_,), {}
2022-11-23T01:32:37.9036665Z call_method, max_1, max, (ex_0_,), {}
2022-11-23T01:32:37.9036751Z call_method, min_1, min, (ex_0_,), {}
2022-11-23T01:32:37.9036849Z call_method, argmax, argmax, (ex_0_,), {}
2022-11-23T01:32:37.9036973Z output, output, output, ((sum_1, max_1, min_1, argmax),), {}
2022-11-23T01:32:37.9036978Z 
2022-11-23T01:32:37.9037421Z [2022-11-23 01:25:42,609] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9037516Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9037607Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9037702Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9037779Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9037906Z               8 RETURN_VALUE
2022-11-23T01:32:37.9037912Z 
2022-11-23T01:32:37.9037974Z  
2022-11-23T01:32:37.9038250Z [2022-11-23 01:25:42,610] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9038359Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_336)
2022-11-23T01:32:37.9038451Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9038589Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9038655Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9038745Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.9038848Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.9038950Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9039041Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9039118Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.9039220Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9039312Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9039375Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.9039475Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9039565Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:37.9039641Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.9039742Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9039833Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:37.9039910Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.9039985Z              36 BUILD_TUPLE              4
2022-11-23T01:32:37.9040060Z              38 RETURN_VALUE
2022-11-23T01:32:37.9040065Z 
2022-11-23T01:32:37.9040126Z  
2022-11-23T01:32:37.9040308Z [2022-11-23 01:25:42,611] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9040379Z  - 
2022-11-23T01:32:37.9040499Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9040565Z             {
2022-11-23T01:32:37.9040694Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9040881Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.9041002Z                 'obj_weakref': None
2022-11-23T01:32:37.9041225Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9041292Z             }
2022-11-23T01:32:37.9041358Z             
2022-11-23T01:32:37.9041426Z  - 
2022-11-23T01:32:37.9041539Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9041603Z             {
2022-11-23T01:32:37.9041746Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9041853Z                 'code': None,
2022-11-23T01:32:37.9042064Z                 'obj_weakref': <weakref at 0x7f71c12ebfb0; to 'Tensor' at 0x7f71c0f3f110>
2022-11-23T01:32:37.9042312Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9042380Z             }
2022-11-23T01:32:37.9042430Z             
2022-11-23T01:32:37.9042497Z  - 
2022-11-23T01:32:37.9042627Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9042689Z             {
2022-11-23T01:32:37.9042821Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9042988Z                 'code': ['___check_obj_id(model, 140123413869776)'],
2022-11-23T01:32:37.9043106Z                 'obj_weakref': None
2022-11-23T01:32:37.9043321Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9043383Z             }
2022-11-23T01:32:37.9043445Z             
2022-11-23T01:32:37.9043516Z  - 
2022-11-23T01:32:37.9043634Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9043696Z             {
2022-11-23T01:32:37.9043829Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9044030Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9044178Z                 'obj_weakref': None
2022-11-23T01:32:37.9044394Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9044456Z             }
2022-11-23T01:32:37.9044518Z             
2022-11-23T01:32:37.9044775Z [2022-11-23 01:25:42,625] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 329
2022-11-23T01:32:37.9045178Z [2022-11-23 01:25:45,188] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qz/cqzjqiw7xrlccdxkibjkbydawwicnxnrkuktk2va3xztzvjdknhl.py
2022-11-23T01:32:37.9045439Z [2022-11-23 01:25:45,189] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 329
2022-11-23T01:32:37.9045445Z 
2022-11-23T01:32:37.9045524Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9045592Z import torch
2022-11-23T01:32:37.9045662Z import random
2022-11-23T01:32:37.9045775Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9045897Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9045902Z 
2022-11-23T01:32:37.9045977Z aten = torch.ops.aten
2022-11-23T01:32:37.9046111Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9046189Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9046206Z 
2022-11-23T01:32:37.9046211Z 
2022-11-23T01:32:37.9046331Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9046535Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9046653Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9046750Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.9046846Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.9046937Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:37.9047030Z                        long* __restrict__ out_ptr3)
2022-11-23T01:32:37.9047078Z {
2022-11-23T01:32:37.9047142Z     {
2022-11-23T01:32:37.9047205Z         {
2022-11-23T01:32:37.9047279Z             float tmp1 = 0;
2022-11-23T01:32:37.9047494Z             float tmp2 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.9047617Z             float tmp3 = std::numeric_limits<float>::infinity();
2022-11-23T01:32:37.9047732Z             struct IndexValue_10 {size_t index; float value;};
2022-11-23T01:32:37.9047938Z             IndexValue_10 tmp4{0, -std::numeric_limits<float>::infinity()};
2022-11-23T01:32:37.9048077Z             #pragma omp declare reduction(argmax : struct IndexValue_10 :\
2022-11-23T01:32:37.9048223Z                 omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:37.9048367Z                 omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:37.9048595Z             	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T01:32:37.9048698Z             #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9048764Z             {
2022-11-23T01:32:37.9048938Z                 #pragma omp for reduction(+:tmp1) reduction(max:tmp2) reduction(min:tmp3) reduction(argmax:tmp4) 
2022-11-23T01:32:37.9049026Z                 for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.9049078Z                 {
2022-11-23T01:32:37.9049143Z                     {
2022-11-23T01:32:37.9049236Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.9049314Z                         tmp1 += tmp0;
2022-11-23T01:32:37.9049414Z                         tmp2 = std::max(tmp2, tmp0);
2022-11-23T01:32:37.9049511Z                         tmp3 = std::min(tmp3, tmp0);
2022-11-23T01:32:37.9049602Z                         if (tmp4.value < tmp0) {
2022-11-23T01:32:37.9049698Z                             tmp4.index = i0; tmp4.value = tmp0;
2022-11-23T01:32:37.9049765Z                         }
2022-11-23T01:32:37.9049832Z                     }
2022-11-23T01:32:37.9049895Z                 }
2022-11-23T01:32:37.9049957Z             }
2022-11-23T01:32:37.9050065Z             out_ptr0[0] = tmp1;
2022-11-23T01:32:37.9050128Z             out_ptr1[0] = tmp2;
2022-11-23T01:32:37.9050202Z             out_ptr2[0] = tmp3;
2022-11-23T01:32:37.9050286Z             out_ptr3[0] = tmp4.index;
2022-11-23T01:32:37.9050348Z         }
2022-11-23T01:32:37.9050411Z     }
2022-11-23T01:32:37.9050471Z }
2022-11-23T01:32:37.9050548Z ''')
2022-11-23T01:32:37.9050553Z 
2022-11-23T01:32:37.9050557Z 
2022-11-23T01:32:37.9050677Z async_compile.wait(globals())
2022-11-23T01:32:37.9050737Z del async_compile
2022-11-23T01:32:37.9050742Z 
2022-11-23T01:32:37.9050809Z def call(args):
2022-11-23T01:32:37.9050878Z     arg0_1, = args
2022-11-23T01:32:37.9050948Z     args.clear()
2022-11-23T01:32:37.9051133Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9051312Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9051486Z     buf2 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9051652Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.9051865Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:37.9051933Z     del arg0_1
2022-11-23T01:32:37.9052020Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:37.9052025Z 
2022-11-23T01:32:37.9052029Z 
2022-11-23T01:32:37.9052105Z if __name__ == "__main__":
2022-11-23T01:32:37.9052220Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9052339Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9052529Z     arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9052623Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.9052628Z 
2022-11-23T01:32:37.9052692Z ok (2.617s)
2022-11-23T01:32:37.9052924Z   test_reduction4_cpu (__main__.CpuTests) ... skip: Non-deterministic CPU results (0.002s)
2022-11-23T01:32:37.9053259Z   test_reflection_pad2d_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:25:45,206] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9053526Z [2022-11-23 01:25:45,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9053744Z [2022-11-23 01:25:45,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9053995Z [2022-11-23 01:25:45,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9054283Z [2022-11-23 01:25:45,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9054609Z [2022-11-23 01:25:45,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9054924Z [2022-11-23 01:25:45,207] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f642a780, file "inductor/test_torchinductor.py", line 3039> 
2022-11-23T01:32:37.9055021Z  3040           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.9055137Z                2 LOAD_METHOD              1 (reflection_pad2d_backward)
2022-11-23T01:32:37.9055239Z                4 LOAD_FAST                0 (grad_output)
2022-11-23T01:32:37.9055328Z                6 LOAD_FAST                1 (x)
2022-11-23T01:32:37.9055426Z                8 LOAD_DEREF               0 (padding)
2022-11-23T01:32:37.9055515Z               10 CALL_METHOD              3
2022-11-23T01:32:37.9055592Z               12 RETURN_VALUE
2022-11-23T01:32:37.9055640Z  
2022-11-23T01:32:37.9055645Z 
2022-11-23T01:32:37.9055911Z [2022-11-23 01:25:45,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3040
2022-11-23T01:32:37.9056124Z [2022-11-23 01:25:45,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.9056500Z [2022-11-23 01:25:45,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.9056801Z [2022-11-23 01:25:45,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.reflection_pad2d_backward)]
2022-11-23T01:32:37.9057146Z [2022-11-23 01:25:45,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.reflection_pad2d_backward), TensorVariable()]
2022-11-23T01:32:37.9057501Z [2022-11-23 01:25:45,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF padding [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9057870Z [2022-11-23 01:25:45,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.9058115Z [2022-11-23 01:25:45,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9058446Z [2022-11-23 01:25:45,223] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f642a780, file "inductor/test_torchinductor.py", line 3039>
2022-11-23T01:32:37.9058676Z [2022-11-23 01:25:45,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9058909Z [2022-11-23 01:25:45,223] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9059159Z [2022-11-23 01:25:45,225] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9059406Z [2022-11-23 01:25:45,230] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9059591Z [2022-11-23 01:25:45,231] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9059722Z  __compiled_fn_337 <eval_with_key>.2099 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9059814Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9059900Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.9060071Z call_function, reflection_pad2d_backward, aten.reflection_pad2d_backward, (ex_0_, ex_1_, [0, 0, 0, 0]), {}
2022-11-23T01:32:37.9060184Z output, output, output, ((reflection_pad2d_backward,),), {}
2022-11-23T01:32:37.9060189Z 
2022-11-23T01:32:37.9060470Z [2022-11-23 01:25:45,231] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9060562Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9060651Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9060743Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9060832Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9060907Z               8 RETURN_VALUE
2022-11-23T01:32:37.9060912Z 
2022-11-23T01:32:37.9060972Z  
2022-11-23T01:32:37.9061233Z [2022-11-23 01:25:45,232] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9061342Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_337)
2022-11-23T01:32:37.9061430Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9061518Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9061595Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9061682Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9061771Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9061833Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.9061918Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.9062020Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.9062146Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:37.9062242Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:37.9062328Z              22 CALL_FUNCTION            0
2022-11-23T01:32:37.9062451Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:37.9062539Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9062628Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9062702Z              30 BINARY_SUBSCR
2022-11-23T01:32:37.9062794Z              32 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9062894Z              34 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:37.9063015Z              36 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9063095Z              38 BINARY_SUBSCR
2022-11-23T01:32:37.9063195Z              40 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:37.9063273Z              42 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9063369Z              44 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:37.9063454Z              46 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9063529Z              48 BINARY_SUBSCR
2022-11-23T01:32:37.9063630Z              50 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:37.9063704Z              52 RETURN_VALUE
2022-11-23T01:32:37.9063709Z 
2022-11-23T01:32:37.9063768Z  
2022-11-23T01:32:37.9063938Z [2022-11-23 01:25:45,235] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9064005Z  - 
2022-11-23T01:32:37.9064122Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9064185Z             {
2022-11-23T01:32:37.9064325Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9064601Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.9064722Z                 'obj_weakref': None
2022-11-23T01:32:37.9064934Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9064998Z             }
2022-11-23T01:32:37.9065062Z             
2022-11-23T01:32:37.9065131Z  - 
2022-11-23T01:32:37.9065253Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9065319Z             {
2022-11-23T01:32:37.9065459Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9065551Z                 'code': None,
2022-11-23T01:32:37.9065759Z                 'obj_weakref': <weakref at 0x7f71c12eba10; to 'Tensor' at 0x7f712416d770>
2022-11-23T01:32:37.9066008Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9066076Z             }
2022-11-23T01:32:37.9066144Z             
2022-11-23T01:32:37.9066212Z  - 
2022-11-23T01:32:37.9066332Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.9066382Z             {
2022-11-23T01:32:37.9066526Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9066633Z                 'code': None,
2022-11-23T01:32:37.9066840Z                 'obj_weakref': <weakref at 0x7f71c12eb3b0; to 'Tensor' at 0x7f71188f0890>
2022-11-23T01:32:37.9067085Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9067150Z             }
2022-11-23T01:32:37.9067212Z             
2022-11-23T01:32:37.9067267Z  - 
2022-11-23T01:32:37.9067397Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9067460Z             {
2022-11-23T01:32:37.9067592Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9067759Z                 'code': ['___check_obj_id(model, 140123423795968)'],
2022-11-23T01:32:37.9067875Z                 'obj_weakref': None
2022-11-23T01:32:37.9068102Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9068152Z             }
2022-11-23T01:32:37.9068214Z             
2022-11-23T01:32:37.9068280Z  - 
2022-11-23T01:32:37.9068400Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9068462Z             {
2022-11-23T01:32:37.9068595Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9068808Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9068951Z                 'obj_weakref': None
2022-11-23T01:32:37.9069165Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9069230Z             }
2022-11-23T01:32:37.9069293Z             
2022-11-23T01:32:37.9069361Z  - 
2022-11-23T01:32:37.9069537Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:37.9069599Z             {
2022-11-23T01:32:37.9069781Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:37.9070513Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[3], 94279403915040)', 'model.__closure__[0].cell_contents == [0, 0, 0, 0]'],
2022-11-23T01:32:37.9070636Z                 'obj_weakref': None
2022-11-23T01:32:37.9070852Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:37.9070916Z             }
2022-11-23T01:32:37.9070979Z             
2022-11-23T01:32:37.9071048Z  - 
2022-11-23T01:32:37.9071233Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:37.9071285Z             {
2022-11-23T01:32:37.9071430Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.9071711Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 0'],
2022-11-23T01:32:37.9071828Z                 'obj_weakref': None
2022-11-23T01:32:37.9072045Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:37.9072108Z             }
2022-11-23T01:32:37.9072171Z             
2022-11-23T01:32:37.9072238Z  - 
2022-11-23T01:32:37.9072409Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:37.9072471Z             {
2022-11-23T01:32:37.9072612Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.9072895Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 0'],
2022-11-23T01:32:37.9073016Z                 'obj_weakref': None
2022-11-23T01:32:37.9073231Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:37.9073294Z             }
2022-11-23T01:32:37.9073344Z             
2022-11-23T01:32:37.9073413Z  - 
2022-11-23T01:32:37.9073598Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:37.9073660Z             {
2022-11-23T01:32:37.9073801Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.9074086Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', 'model.__closure__[0].cell_contents[2] == 0'],
2022-11-23T01:32:37.9074206Z                 'obj_weakref': None
2022-11-23T01:32:37.9074410Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:37.9074473Z             }
2022-11-23T01:32:37.9074536Z             
2022-11-23T01:32:37.9074607Z  - 
2022-11-23T01:32:37.9074792Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:37.9074856Z             {
2022-11-23T01:32:37.9074999Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.9075277Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94279403915040)', 'model.__closure__[0].cell_contents[3] == 0'],
2022-11-23T01:32:37.9075382Z                 'obj_weakref': None
2022-11-23T01:32:37.9075598Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:37.9075694Z             }
2022-11-23T01:32:37.9075758Z             
2022-11-23T01:32:37.9075829Z  - 
2022-11-23T01:32:37.9075962Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.9076026Z             {
2022-11-23T01:32:37.9076131Z                 'guard_types': None,
2022-11-23T01:32:37.9076239Z                 'code': None,
2022-11-23T01:32:37.9076357Z                 'obj_weakref': None
2022-11-23T01:32:37.9076507Z                 'guarded_class': None
2022-11-23T01:32:37.9076572Z             }
2022-11-23T01:32:37.9076632Z             
2022-11-23T01:32:37.9076879Z [2022-11-23 01:25:45,243] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 330
2022-11-23T01:32:37.9077437Z [2022-11-23 01:25:47,796] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jm/cjm7nbpc72rljdl7n3rg6kkotnlwrih2v2d5s4wpccxbgdm5vt4e.py
2022-11-23T01:32:37.9077711Z [2022-11-23 01:25:47,797] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 330
2022-11-23T01:32:37.9077950Z [2022-11-23 01:25:47,806] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9078219Z [2022-11-23 01:25:47,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9078438Z [2022-11-23 01:25:47,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9078694Z [2022-11-23 01:25:47,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9078980Z [2022-11-23 01:25:47,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9079302Z [2022-11-23 01:25:47,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9079629Z [2022-11-23 01:25:47,808] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f642a780, file "inductor/test_torchinductor.py", line 3039> 
2022-11-23T01:32:37.9079715Z  3040           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.9079835Z                2 LOAD_METHOD              1 (reflection_pad2d_backward)
2022-11-23T01:32:37.9079938Z                4 LOAD_FAST                0 (grad_output)
2022-11-23T01:32:37.9080030Z                6 LOAD_FAST                1 (x)
2022-11-23T01:32:37.9080132Z                8 LOAD_DEREF               0 (padding)
2022-11-23T01:32:37.9080223Z               10 CALL_METHOD              3
2022-11-23T01:32:37.9080301Z               12 RETURN_VALUE
2022-11-23T01:32:37.9080349Z  
2022-11-23T01:32:37.9080368Z 
2022-11-23T01:32:37.9080623Z [2022-11-23 01:25:47,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3040
2022-11-23T01:32:37.9080841Z [2022-11-23 01:25:47,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.9081182Z [2022-11-23 01:25:47,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.9081485Z [2022-11-23 01:25:47,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.reflection_pad2d_backward)]
2022-11-23T01:32:37.9081799Z [2022-11-23 01:25:47,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.reflection_pad2d_backward), TensorVariable()]
2022-11-23T01:32:37.9082151Z [2022-11-23 01:25:47,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF padding [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9082523Z [2022-11-23 01:25:47,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.9082767Z [2022-11-23 01:25:47,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9083159Z [2022-11-23 01:25:47,822] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f642a780, file "inductor/test_torchinductor.py", line 3039>
2022-11-23T01:32:37.9083402Z [2022-11-23 01:25:47,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9083678Z [2022-11-23 01:25:47,823] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9083936Z [2022-11-23 01:25:47,825] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9084184Z [2022-11-23 01:25:47,830] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9084370Z [2022-11-23 01:25:47,831] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9084502Z  __compiled_fn_338 <eval_with_key>.2105 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9084597Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9084682Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.9090035Z call_function, reflection_pad2d_backward, aten.reflection_pad2d_backward, (ex_0_, ex_1_, [1, 1, 1, 1]), {}
2022-11-23T01:32:37.9090176Z output, output, output, ((reflection_pad2d_backward,),), {}
2022-11-23T01:32:37.9090199Z 
2022-11-23T01:32:37.9090495Z [2022-11-23 01:25:47,831] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9090590Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9090682Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9090773Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9090864Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9090945Z               8 RETURN_VALUE
2022-11-23T01:32:37.9090950Z 
2022-11-23T01:32:37.9091010Z  
2022-11-23T01:32:37.9091274Z [2022-11-23 01:25:47,832] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9091385Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_338)
2022-11-23T01:32:37.9091474Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9091563Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9091640Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9091729Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9091819Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9091894Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.9091969Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.9092073Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.9092199Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:37.9092297Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:37.9092382Z              22 CALL_FUNCTION            0
2022-11-23T01:32:37.9092479Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:37.9092578Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9092654Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9092732Z              30 BINARY_SUBSCR
2022-11-23T01:32:37.9092823Z              32 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9092923Z              34 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:37.9093012Z              36 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9093086Z              38 BINARY_SUBSCR
2022-11-23T01:32:37.9093185Z              40 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:37.9093262Z              42 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9093356Z              44 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:37.9093443Z              46 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9093519Z              48 BINARY_SUBSCR
2022-11-23T01:32:37.9093618Z              50 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:37.9093773Z              52 RETURN_VALUE
2022-11-23T01:32:37.9093779Z 
2022-11-23T01:32:37.9093840Z  
2022-11-23T01:32:37.9094015Z [2022-11-23 01:25:47,835] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9094083Z  - 
2022-11-23T01:32:37.9094202Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9094267Z             {
2022-11-23T01:32:37.9094409Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9094642Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.9094765Z                 'obj_weakref': None
2022-11-23T01:32:37.9094991Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9095043Z             }
2022-11-23T01:32:37.9095106Z             
2022-11-23T01:32:37.9095173Z  - 
2022-11-23T01:32:37.9095296Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9095357Z             {
2022-11-23T01:32:37.9095499Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9095594Z                 'code': None,
2022-11-23T01:32:37.9095804Z                 'obj_weakref': <weakref at 0x7f710cd89c50; to 'Tensor' at 0x7f71188f0890>
2022-11-23T01:32:37.9096052Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9096117Z             }
2022-11-23T01:32:37.9096180Z             
2022-11-23T01:32:37.9096251Z  - 
2022-11-23T01:32:37.9096374Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.9096423Z             {
2022-11-23T01:32:37.9096565Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9096670Z                 'code': None,
2022-11-23T01:32:37.9096879Z                 'obj_weakref': <weakref at 0x7f71c0e1e4d0; to 'Tensor' at 0x7f712416d770>
2022-11-23T01:32:37.9097127Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9097192Z             }
2022-11-23T01:32:37.9097255Z             
2022-11-23T01:32:37.9097324Z  - 
2022-11-23T01:32:37.9097443Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9097503Z             {
2022-11-23T01:32:37.9097635Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9097802Z                 'code': ['___check_obj_id(model, 140126568956992)'],
2022-11-23T01:32:37.9097918Z                 'obj_weakref': None
2022-11-23T01:32:37.9098147Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9098213Z             }
2022-11-23T01:32:37.9098264Z             
2022-11-23T01:32:37.9098332Z  - 
2022-11-23T01:32:37.9098452Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9098515Z             {
2022-11-23T01:32:37.9098651Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9098867Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9098986Z                 'obj_weakref': None
2022-11-23T01:32:37.9099191Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9099252Z             }
2022-11-23T01:32:37.9099314Z             
2022-11-23T01:32:37.9099381Z  - 
2022-11-23T01:32:37.9099561Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:37.9099623Z             {
2022-11-23T01:32:37.9099782Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:37.9100520Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[3], 94279403915040)', 'model.__closure__[0].cell_contents == [1, 1, 1, 1]'],
2022-11-23T01:32:37.9100671Z                 'obj_weakref': None
2022-11-23T01:32:37.9100886Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:37.9100949Z             }
2022-11-23T01:32:37.9101010Z             
2022-11-23T01:32:37.9101078Z  - 
2022-11-23T01:32:37.9101263Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:37.9101325Z             {
2022-11-23T01:32:37.9101482Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.9101766Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 1'],
2022-11-23T01:32:37.9101884Z                 'obj_weakref': None
2022-11-23T01:32:37.9102102Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:37.9102163Z             }
2022-11-23T01:32:37.9102227Z             
2022-11-23T01:32:37.9102294Z  - 
2022-11-23T01:32:37.9102466Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:37.9102528Z             {
2022-11-23T01:32:37.9102669Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.9102947Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 1'],
2022-11-23T01:32:37.9103069Z                 'obj_weakref': None
2022-11-23T01:32:37.9103284Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:37.9103349Z             }
2022-11-23T01:32:37.9103409Z             
2022-11-23T01:32:37.9103463Z  - 
2022-11-23T01:32:37.9103644Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:37.9103706Z             {
2022-11-23T01:32:37.9103845Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.9104124Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', 'model.__closure__[0].cell_contents[2] == 1'],
2022-11-23T01:32:37.9104242Z                 'obj_weakref': None
2022-11-23T01:32:37.9104547Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:37.9104599Z             }
2022-11-23T01:32:37.9104662Z             
2022-11-23T01:32:37.9104732Z  - 
2022-11-23T01:32:37.9104921Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:37.9104984Z             {
2022-11-23T01:32:37.9105123Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.9105403Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94279403915040)', 'model.__closure__[0].cell_contents[3] == 1'],
2022-11-23T01:32:37.9105508Z                 'obj_weakref': None
2022-11-23T01:32:37.9105724Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:37.9105789Z             }
2022-11-23T01:32:37.9105852Z             
2022-11-23T01:32:37.9105922Z  - 
2022-11-23T01:32:37.9106052Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.9106116Z             {
2022-11-23T01:32:37.9106221Z                 'guard_types': None,
2022-11-23T01:32:37.9106329Z                 'code': None,
2022-11-23T01:32:37.9106444Z                 'obj_weakref': None
2022-11-23T01:32:37.9106565Z                 'guarded_class': None
2022-11-23T01:32:37.9106630Z             }
2022-11-23T01:32:37.9106694Z             
2022-11-23T01:32:37.9106955Z [2022-11-23 01:25:47,844] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 331
2022-11-23T01:32:37.9107318Z [2022-11-23 01:25:50,458] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qj/cqjtplra2fqrcjwbwjdqaan4ts5xepwifzothh7hvadi73f3kogu.py
2022-11-23T01:32:37.9107580Z [2022-11-23 01:25:50,458] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 331
2022-11-23T01:32:37.9107852Z [2022-11-23 01:25:50,468] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9108117Z [2022-11-23 01:25:50,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9108331Z [2022-11-23 01:25:50,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9108610Z [2022-11-23 01:25:50,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9108896Z [2022-11-23 01:25:50,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9109218Z [2022-11-23 01:25:50,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9109541Z [2022-11-23 01:25:50,469] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f642a780, file "inductor/test_torchinductor.py", line 3039> 
2022-11-23T01:32:37.9109639Z  3040           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.9109746Z                2 LOAD_METHOD              1 (reflection_pad2d_backward)
2022-11-23T01:32:37.9109845Z                4 LOAD_FAST                0 (grad_output)
2022-11-23T01:32:37.9109939Z                6 LOAD_FAST                1 (x)
2022-11-23T01:32:37.9110038Z                8 LOAD_DEREF               0 (padding)
2022-11-23T01:32:37.9110131Z               10 CALL_METHOD              3
2022-11-23T01:32:37.9110209Z               12 RETURN_VALUE
2022-11-23T01:32:37.9110271Z  
2022-11-23T01:32:37.9110277Z 
2022-11-23T01:32:37.9110530Z [2022-11-23 01:25:50,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3040
2022-11-23T01:32:37.9110746Z [2022-11-23 01:25:50,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.9111087Z [2022-11-23 01:25:50,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d_backward [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.9111386Z [2022-11-23 01:25:50,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.reflection_pad2d_backward)]
2022-11-23T01:32:37.9111695Z [2022-11-23 01:25:50,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.reflection_pad2d_backward), TensorVariable()]
2022-11-23T01:32:37.9112049Z [2022-11-23 01:25:50,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF padding [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9112421Z [2022-11-23 01:25:50,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.9112667Z [2022-11-23 01:25:50,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9112996Z [2022-11-23 01:25:50,484] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f642a780, file "inductor/test_torchinductor.py", line 3039>
2022-11-23T01:32:37.9113239Z [2022-11-23 01:25:50,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9113469Z [2022-11-23 01:25:50,484] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9113711Z [2022-11-23 01:25:50,486] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9113962Z [2022-11-23 01:25:50,491] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9114148Z [2022-11-23 01:25:50,492] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9114281Z  __compiled_fn_339 <eval_with_key>.2111 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9114371Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9114486Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.9114662Z call_function, reflection_pad2d_backward, aten.reflection_pad2d_backward, (ex_0_, ex_1_, [1, 2, 3, 4]), {}
2022-11-23T01:32:37.9114787Z output, output, output, ((reflection_pad2d_backward,),), {}
2022-11-23T01:32:37.9114793Z 
2022-11-23T01:32:37.9115056Z [2022-11-23 01:25:50,492] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9115208Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9115302Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9115393Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9115482Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9115557Z               8 RETURN_VALUE
2022-11-23T01:32:37.9115562Z 
2022-11-23T01:32:37.9115622Z  
2022-11-23T01:32:37.9115893Z [2022-11-23 01:25:50,493] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9115991Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_339)
2022-11-23T01:32:37.9116077Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9116169Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9116245Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9116334Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9116422Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9116499Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.9116574Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.9116677Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.9116805Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:37.9116900Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:37.9116988Z              22 CALL_FUNCTION            0
2022-11-23T01:32:37.9117083Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:37.9117306Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9117395Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9117457Z              30 BINARY_SUBSCR
2022-11-23T01:32:37.9117550Z              32 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9117648Z              34 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:37.9117741Z              36 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9117816Z              38 BINARY_SUBSCR
2022-11-23T01:32:37.9117918Z              40 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:37.9118008Z              42 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9118091Z              44 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:37.9118180Z              46 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9118256Z              48 BINARY_SUBSCR
2022-11-23T01:32:37.9118356Z              50 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:37.9118433Z              52 RETURN_VALUE
2022-11-23T01:32:37.9118439Z 
2022-11-23T01:32:37.9118500Z  
2022-11-23T01:32:37.9118687Z [2022-11-23 01:25:50,496] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9118743Z  - 
2022-11-23T01:32:37.9118862Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9118925Z             {
2022-11-23T01:32:37.9119065Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9119256Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.9119377Z                 'obj_weakref': None
2022-11-23T01:32:37.9119603Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9119656Z             }
2022-11-23T01:32:37.9119720Z             
2022-11-23T01:32:37.9119790Z  - 
2022-11-23T01:32:37.9119915Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9119979Z             {
2022-11-23T01:32:37.9120125Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9120292Z                 'code': None,
2022-11-23T01:32:37.9120488Z                 'obj_weakref': <weakref at 0x7f70f295e6b0; to 'Tensor' at 0x7f712416d770>
2022-11-23T01:32:37.9120739Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9120804Z             }
2022-11-23T01:32:37.9120869Z             
2022-11-23T01:32:37.9120938Z  - 
2022-11-23T01:32:37.9121096Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.9121161Z             {
2022-11-23T01:32:37.9121292Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9121397Z                 'code': None,
2022-11-23T01:32:37.9121604Z                 'obj_weakref': <weakref at 0x7f70f295e7d0; to 'Tensor' at 0x7f71188f0890>
2022-11-23T01:32:37.9121853Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9121920Z             }
2022-11-23T01:32:37.9121985Z             
2022-11-23T01:32:37.9122054Z  - 
2022-11-23T01:32:37.9122172Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9122237Z             {
2022-11-23T01:32:37.9122371Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9122541Z                 'code': ['___check_obj_id(model, 140123423795968)'],
2022-11-23T01:32:37.9122661Z                 'obj_weakref': None
2022-11-23T01:32:37.9122891Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9122957Z             }
2022-11-23T01:32:37.9123007Z             
2022-11-23T01:32:37.9123077Z  - 
2022-11-23T01:32:37.9123198Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9123263Z             {
2022-11-23T01:32:37.9123400Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9123616Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9123738Z                 'obj_weakref': None
2022-11-23T01:32:37.9123941Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9124004Z             }
2022-11-23T01:32:37.9124068Z             
2022-11-23T01:32:37.9124136Z  - 
2022-11-23T01:32:37.9124315Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:37.9124379Z             {
2022-11-23T01:32:37.9124552Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:37.9125292Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[3], 94279403915040)', 'model.__closure__[0].cell_contents == [1, 2, 3, 4]'],
2022-11-23T01:32:37.9125414Z                 'obj_weakref': None
2022-11-23T01:32:37.9125618Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:37.9125683Z             }
2022-11-23T01:32:37.9125749Z             
2022-11-23T01:32:37.9125819Z  - 
2022-11-23T01:32:37.9126003Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:37.9126068Z             {
2022-11-23T01:32:37.9126212Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.9126482Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 1'],
2022-11-23T01:32:37.9126598Z                 'obj_weakref': None
2022-11-23T01:32:37.9126814Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:37.9126876Z             }
2022-11-23T01:32:37.9126938Z             
2022-11-23T01:32:37.9127036Z  - 
2022-11-23T01:32:37.9127219Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:37.9127269Z             {
2022-11-23T01:32:37.9127407Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.9127686Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 2'],
2022-11-23T01:32:37.9127802Z                 'obj_weakref': None
2022-11-23T01:32:37.9128043Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:37.9128108Z             }
2022-11-23T01:32:37.9128169Z             
2022-11-23T01:32:37.9128225Z  - 
2022-11-23T01:32:37.9128409Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:37.9128471Z             {
2022-11-23T01:32:37.9128611Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.9128891Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', 'model.__closure__[0].cell_contents[2] == 3'],
2022-11-23T01:32:37.9129012Z                 'obj_weakref': None
2022-11-23T01:32:37.9129227Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:37.9129289Z             }
2022-11-23T01:32:37.9129340Z             
2022-11-23T01:32:37.9129407Z  - 
2022-11-23T01:32:37.9129589Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:37.9129653Z             {
2022-11-23T01:32:37.9129795Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.9130075Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94279403915040)', 'model.__closure__[0].cell_contents[3] == 4'],
2022-11-23T01:32:37.9130191Z                 'obj_weakref': None
2022-11-23T01:32:37.9130394Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:37.9130458Z             }
2022-11-23T01:32:37.9130519Z             
2022-11-23T01:32:37.9130589Z  - 
2022-11-23T01:32:37.9130718Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.9130779Z             {
2022-11-23T01:32:37.9130897Z                 'guard_types': None,
2022-11-23T01:32:37.9130990Z                 'code': None,
2022-11-23T01:32:37.9131108Z                 'obj_weakref': None
2022-11-23T01:32:37.9131228Z                 'guarded_class': None
2022-11-23T01:32:37.9131291Z             }
2022-11-23T01:32:37.9131355Z             
2022-11-23T01:32:37.9131614Z [2022-11-23 01:25:50,504] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 332
2022-11-23T01:32:37.9131621Z 
2022-11-23T01:32:37.9131713Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9131768Z import torch
2022-11-23T01:32:37.9131835Z import random
2022-11-23T01:32:37.9131949Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9132072Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9132080Z 
2022-11-23T01:32:37.9132156Z aten = torch.ops.aten
2022-11-23T01:32:37.9132290Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9132380Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9132386Z 
2022-11-23T01:32:37.9132390Z 
2022-11-23T01:32:37.9132521Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9132714Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9132835Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9132934Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.9132998Z {
2022-11-23T01:32:37.9133095Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9133156Z     {
2022-11-23T01:32:37.9133233Z         #pragma omp for 
2022-11-23T01:32:37.9133301Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.9133362Z         {
2022-11-23T01:32:37.9133441Z             #pragma GCC ivdep
2022-11-23T01:32:37.9133560Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:37.9133622Z             {
2022-11-23T01:32:37.9133686Z                 {
2022-11-23T01:32:37.9133740Z                     {
2022-11-23T01:32:37.9133842Z                         auto tmp0 = static_cast<int>(i0);
2022-11-23T01:32:37.9133943Z                         auto tmp1 = static_cast<int>(i1);
2022-11-23T01:32:37.9134048Z                         auto tmp2 = in_ptr0[tmp1 + (8*tmp0)];
2022-11-23T01:32:37.9134185Z                         out_ptr0[i1 + (8*i0)] = tmp2;
2022-11-23T01:32:37.9134251Z                     }
2022-11-23T01:32:37.9134314Z                 }
2022-11-23T01:32:37.9134364Z             }
2022-11-23T01:32:37.9134428Z         }
2022-11-23T01:32:37.9134489Z     }
2022-11-23T01:32:37.9134549Z }
2022-11-23T01:32:37.9134630Z ''')
2022-11-23T01:32:37.9134634Z 
2022-11-23T01:32:37.9134638Z 
2022-11-23T01:32:37.9134727Z async_compile.wait(globals())
2022-11-23T01:32:37.9134803Z del async_compile
2022-11-23T01:32:37.9134808Z 
2022-11-23T01:32:37.9134879Z def call(args):
2022-11-23T01:32:37.9134942Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.9135010Z     args.clear()
2022-11-23T01:32:37.9135223Z     buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9135353Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.9135421Z     del arg0_1
2022-11-23T01:32:37.9135489Z     return (buf0, )
2022-11-23T01:32:37.9135494Z 
2022-11-23T01:32:37.9135500Z 
2022-11-23T01:32:37.9135578Z if __name__ == "__main__":
2022-11-23T01:32:37.9135678Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9135797Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9136007Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9136215Z     arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9136331Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.9136338Z 
2022-11-23T01:32:37.9136342Z 
2022-11-23T01:32:37.9136433Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9136502Z import torch
2022-11-23T01:32:37.9136572Z import random
2022-11-23T01:32:37.9136673Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9136790Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9136795Z 
2022-11-23T01:32:37.9136871Z aten = torch.ops.aten
2022-11-23T01:32:37.9137002Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9137092Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9137097Z 
2022-11-23T01:32:37.9137101Z 
2022-11-23T01:32:37.9137233Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9137433Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9137550Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9137636Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.9137698Z {
2022-11-23T01:32:37.9137794Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9137855Z     {
2022-11-23T01:32:37.9137931Z         #pragma omp for 
2022-11-23T01:32:37.9138010Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.9138074Z         {
2022-11-23T01:32:37.9138141Z             #pragma GCC ivdep
2022-11-23T01:32:37.9138221Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:37.9138285Z             {
2022-11-23T01:32:37.9138351Z                 {
2022-11-23T01:32:37.9138417Z                     {
2022-11-23T01:32:37.9138522Z                         auto tmp0 = static_cast<int>(1 + i0);
2022-11-23T01:32:37.9138628Z                         auto tmp1 = static_cast<int>(1 + i1);
2022-11-23T01:32:37.9138721Z                         auto tmp2 = in_ptr0[tmp1 + (10*tmp0)];
2022-11-23T01:32:37.9138821Z                         auto tmp3 = static_cast<int>(i1);
2022-11-23T01:32:37.9138912Z                         auto tmp4 = tmp3 >= 1;
2022-11-23T01:32:37.9139031Z                         auto tmp5 = tmp3 <= 1;
2022-11-23T01:32:37.9139123Z                         auto tmp6 = tmp4 & tmp5;
2022-11-23T01:32:37.9139206Z                         float tmp7 = 0.0;
2022-11-23T01:32:37.9139280Z                         if(tmp6)
2022-11-23T01:32:37.9139335Z                         {
2022-11-23T01:32:37.9139445Z                             auto tmp8 = static_cast<int>(1 + i0);
2022-11-23T01:32:37.9139648Z                             auto tmp9 = static_cast<int>(1 + ((-1)*i1));
2022-11-23T01:32:37.9139756Z                             auto tmp10 = in_ptr0[tmp9 + (10*tmp8)];
2022-11-23T01:32:37.9139837Z                             tmp7 = tmp10;
2022-11-23T01:32:37.9139904Z                         }
2022-11-23T01:32:37.9139997Z                         auto tmp11 = tmp2 + tmp7;
2022-11-23T01:32:37.9140078Z                         auto tmp12 = tmp3 >= 6;
2022-11-23T01:32:37.9140166Z                         auto tmp13 = tmp3 <= 6;
2022-11-23T01:32:37.9140263Z                         auto tmp14 = tmp12 & tmp13;
2022-11-23T01:32:37.9140347Z                         float tmp15 = 0.0;
2022-11-23T01:32:37.9140424Z                         if(tmp14)
2022-11-23T01:32:37.9140491Z                         {
2022-11-23T01:32:37.9140598Z                             auto tmp16 = static_cast<int>(1 + i0);
2022-11-23T01:32:37.9140775Z                             auto tmp17 = static_cast<int>(15 + ((-1)*i1));
2022-11-23T01:32:37.9140876Z                             auto tmp18 = in_ptr0[tmp17 + (10*tmp16)];
2022-11-23T01:32:37.9140957Z                             tmp15 = tmp18;
2022-11-23T01:32:37.9141023Z                         }
2022-11-23T01:32:37.9141116Z                         auto tmp19 = tmp11 + tmp15;
2022-11-23T01:32:37.9141217Z                         auto tmp20 = static_cast<int>(i0);
2022-11-23T01:32:37.9141309Z                         auto tmp21 = tmp20 >= 1;
2022-11-23T01:32:37.9141402Z                         auto tmp22 = tmp20 <= 1;
2022-11-23T01:32:37.9141484Z                         auto tmp23 = tmp21 & tmp22;
2022-11-23T01:32:37.9141567Z                         float tmp24 = 0.0;
2022-11-23T01:32:37.9141642Z                         if(tmp23)
2022-11-23T01:32:37.9141709Z                         {
2022-11-23T01:32:37.9141887Z                             auto tmp25 = static_cast<int>(1 + ((-1)*i0));
2022-11-23T01:32:37.9141995Z                             auto tmp26 = static_cast<int>(1 + i1);
2022-11-23T01:32:37.9142107Z                             auto tmp27 = in_ptr0[tmp26 + (10*tmp25)];
2022-11-23T01:32:37.9142177Z                             tmp24 = tmp27;
2022-11-23T01:32:37.9142243Z                         }
2022-11-23T01:32:37.9142335Z                         auto tmp28 = tmp19 + tmp24;
2022-11-23T01:32:37.9142425Z                         auto tmp29 = tmp20 >= 6;
2022-11-23T01:32:37.9142515Z                         auto tmp30 = tmp20 <= 6;
2022-11-23T01:32:37.9142609Z                         auto tmp31 = tmp29 & tmp30;
2022-11-23T01:32:37.9142695Z                         float tmp32 = 0.0;
2022-11-23T01:32:37.9142757Z                         if(tmp31)
2022-11-23T01:32:37.9142823Z                         {
2022-11-23T01:32:37.9142999Z                             auto tmp33 = static_cast<int>(15 + ((-1)*i0));
2022-11-23T01:32:37.9143106Z                             auto tmp34 = static_cast<int>(1 + i1);
2022-11-23T01:32:37.9143213Z                             auto tmp35 = in_ptr0[tmp34 + (10*tmp33)];
2022-11-23T01:32:37.9143296Z                             tmp32 = tmp35;
2022-11-23T01:32:37.9143362Z                         }
2022-11-23T01:32:37.9143456Z                         auto tmp36 = tmp28 + tmp32;
2022-11-23T01:32:37.9143537Z                         auto tmp37 = tmp23 & tmp6;
2022-11-23T01:32:37.9143620Z                         float tmp38 = 0.0;
2022-11-23T01:32:37.9143694Z                         if(tmp37)
2022-11-23T01:32:37.9143762Z                         {
2022-11-23T01:32:37.9143935Z                             auto tmp39 = static_cast<int>(1 + ((-1)*i0));
2022-11-23T01:32:37.9144141Z                             auto tmp40 = static_cast<int>(1 + ((-1)*i1));
2022-11-23T01:32:37.9144251Z                             auto tmp41 = in_ptr0[tmp40 + (10*tmp39)];
2022-11-23T01:32:37.9144319Z                             tmp38 = tmp41;
2022-11-23T01:32:37.9144386Z                         }
2022-11-23T01:32:37.9144568Z                         auto tmp42 = tmp36 + tmp38;
2022-11-23T01:32:37.9144664Z                         auto tmp43 = tmp23 & tmp14;
2022-11-23T01:32:37.9144783Z                         float tmp44 = 0.0;
2022-11-23T01:32:37.9144859Z                         if(tmp43)
2022-11-23T01:32:37.9144927Z                         {
2022-11-23T01:32:37.9145093Z                             auto tmp45 = static_cast<int>(1 + ((-1)*i0));
2022-11-23T01:32:37.9145269Z                             auto tmp46 = static_cast<int>(15 + ((-1)*i1));
2022-11-23T01:32:37.9145378Z                             auto tmp47 = in_ptr0[tmp46 + (10*tmp45)];
2022-11-23T01:32:37.9145462Z                             tmp44 = tmp47;
2022-11-23T01:32:37.9145531Z                         }
2022-11-23T01:32:37.9145623Z                         auto tmp48 = tmp42 + tmp44;
2022-11-23T01:32:37.9145717Z                         auto tmp49 = tmp31 & tmp6;
2022-11-23T01:32:37.9145788Z                         float tmp50 = 0.0;
2022-11-23T01:32:37.9145864Z                         if(tmp49)
2022-11-23T01:32:37.9145931Z                         {
2022-11-23T01:32:37.9146109Z                             auto tmp51 = static_cast<int>(15 + ((-1)*i0));
2022-11-23T01:32:37.9146280Z                             auto tmp52 = static_cast<int>(1 + ((-1)*i1));
2022-11-23T01:32:37.9146387Z                             auto tmp53 = in_ptr0[tmp52 + (10*tmp51)];
2022-11-23T01:32:37.9146468Z                             tmp50 = tmp53;
2022-11-23T01:32:37.9146535Z                         }
2022-11-23T01:32:37.9146614Z                         auto tmp54 = tmp48 + tmp50;
2022-11-23T01:32:37.9146702Z                         auto tmp55 = tmp31 & tmp14;
2022-11-23T01:32:37.9146789Z                         float tmp56 = 0.0;
2022-11-23T01:32:37.9146864Z                         if(tmp55)
2022-11-23T01:32:37.9146929Z                         {
2022-11-23T01:32:37.9147103Z                             auto tmp57 = static_cast<int>(15 + ((-1)*i0));
2022-11-23T01:32:37.9147276Z                             auto tmp58 = static_cast<int>(15 + ((-1)*i1));
2022-11-23T01:32:37.9147373Z                             auto tmp59 = in_ptr0[tmp58 + (10*tmp57)];
2022-11-23T01:32:37.9147452Z                             tmp56 = tmp59;
2022-11-23T01:32:37.9147518Z                         }
2022-11-23T01:32:37.9147610Z                         auto tmp60 = tmp54 + tmp56;
2022-11-23T01:32:37.9147704Z                         out_ptr0[i1 + (8*i0)] = tmp60;
2022-11-23T01:32:37.9147770Z                     }
2022-11-23T01:32:37.9147833Z                 }
2022-11-23T01:32:37.9147884Z             }
2022-11-23T01:32:37.9147946Z         }
2022-11-23T01:32:37.9148009Z     }
2022-11-23T01:32:37.9148067Z }
2022-11-23T01:32:37.9148144Z ''')
2022-11-23T01:32:37.9148149Z 
2022-11-23T01:32:37.9148153Z 
2022-11-23T01:32:37.9148242Z async_compile.wait(globals())
2022-11-23T01:32:37.9148312Z del async_compile
2022-11-23T01:32:37.9148316Z 
2022-11-23T01:32:37.9148374Z def call(args):
2022-11-23T01:32:37.9148447Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.9148517Z     args.clear()
2022-11-23T01:32:37.9148731Z     buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9148862Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.9148930Z     del arg0_1
2022-11-23T01:32:37.9148999Z     return (buf0, )
2022-11-23T01:32:37.9149004Z 
2022-11-23T01:32:37.9149007Z 
2022-11-23T01:32:37.9149082Z if __name__ == "__main__":
2022-11-23T01:32:37.9149180Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9149299Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9149546Z     arg0_1 = rand_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9149753Z     arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9149866Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.9149872Z 
2022-11-23T01:32:37.9149876Z 
2022-11-23T01:32:37.9149968Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9150036Z import torch
2022-11-23T01:32:37.9150131Z import random
2022-11-23T01:32:37.9150232Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9150350Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9150354Z 
2022-11-23T01:32:37.9150430Z aten = torch.ops.aten
2022-11-23T01:32:37.9150561Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9150651Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9150656Z 
2022-11-23T01:32:37.9150661Z 
2022-11-23T01:32:37.9150792Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9150998Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9151117Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9151202Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.9151266Z {
2022-11-23T01:32:37.9151366Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9151429Z     {
2022-11-23T01:32:37.9151507Z         #pragma omp for 
2022-11-23T01:32:37.9151594Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.9151644Z         {
2022-11-23T01:32:37.9151725Z             #pragma GCC ivdep
2022-11-23T01:32:37.9151808Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:37.9151872Z             {
2022-11-23T01:32:37.9151938Z                 {
2022-11-23T01:32:37.9152006Z                     {
2022-11-23T01:32:37.9152114Z                         auto tmp0 = static_cast<int>(3 + i0);
2022-11-23T01:32:37.9152210Z                         auto tmp1 = static_cast<int>(1 + i1);
2022-11-23T01:32:37.9152319Z                         auto tmp2 = in_ptr0[tmp1 + (11*tmp0)];
2022-11-23T01:32:37.9152421Z                         auto tmp3 = static_cast<int>(i1);
2022-11-23T01:32:37.9152516Z                         auto tmp4 = tmp3 >= 1;
2022-11-23T01:32:37.9152607Z                         auto tmp5 = tmp3 <= 1;
2022-11-23T01:32:37.9152702Z                         auto tmp6 = tmp4 & tmp5;
2022-11-23T01:32:37.9152791Z                         float tmp7 = 0.0;
2022-11-23T01:32:37.9152867Z                         if(tmp6)
2022-11-23T01:32:37.9152924Z                         {
2022-11-23T01:32:37.9153033Z                             auto tmp8 = static_cast<int>(3 + i0);
2022-11-23T01:32:37.9153210Z                             auto tmp9 = static_cast<int>(1 + ((-1)*i1));
2022-11-23T01:32:37.9153321Z                             auto tmp10 = in_ptr0[tmp9 + (11*tmp8)];
2022-11-23T01:32:37.9153404Z                             tmp7 = tmp10;
2022-11-23T01:32:37.9153475Z                         }
2022-11-23T01:32:37.9153571Z                         auto tmp11 = tmp2 + tmp7;
2022-11-23T01:32:37.9153651Z                         auto tmp12 = tmp3 >= 5;
2022-11-23T01:32:37.9153743Z                         auto tmp13 = tmp3 <= 6;
2022-11-23T01:32:37.9153838Z                         auto tmp14 = tmp12 & tmp13;
2022-11-23T01:32:37.9153924Z                         float tmp15 = 0.0;
2022-11-23T01:32:37.9154001Z                         if(tmp14)
2022-11-23T01:32:37.9154074Z                         {
2022-11-23T01:32:37.9154185Z                             auto tmp16 = static_cast<int>(3 + i0);
2022-11-23T01:32:37.9154349Z                             auto tmp17 = static_cast<int>(15 + ((-1)*i1));
2022-11-23T01:32:37.9154460Z                             auto tmp18 = in_ptr0[tmp17 + (11*tmp16)];
2022-11-23T01:32:37.9154545Z                             tmp15 = tmp18;
2022-11-23T01:32:37.9154616Z                         }
2022-11-23T01:32:37.9154712Z                         auto tmp19 = tmp11 + tmp15;
2022-11-23T01:32:37.9154847Z                         auto tmp20 = static_cast<int>(i0);
2022-11-23T01:32:37.9154941Z                         auto tmp21 = tmp20 >= 1;
2022-11-23T01:32:37.9155019Z                         auto tmp22 = tmp20 <= 3;
2022-11-23T01:32:37.9155116Z                         auto tmp23 = tmp21 & tmp22;
2022-11-23T01:32:37.9155201Z                         float tmp24 = 0.0;
2022-11-23T01:32:37.9155278Z                         if(tmp23)
2022-11-23T01:32:37.9155374Z                         {
2022-11-23T01:32:37.9155546Z                             auto tmp25 = static_cast<int>(3 + ((-1)*i0));
2022-11-23T01:32:37.9155657Z                             auto tmp26 = static_cast<int>(1 + i1);
2022-11-23T01:32:37.9155771Z                             auto tmp27 = in_ptr0[tmp26 + (11*tmp25)];
2022-11-23T01:32:37.9155841Z                             tmp24 = tmp27;
2022-11-23T01:32:37.9155908Z                         }
2022-11-23T01:32:37.9156002Z                         auto tmp28 = tmp19 + tmp24;
2022-11-23T01:32:37.9156094Z                         auto tmp29 = tmp20 >= 3;
2022-11-23T01:32:37.9156185Z                         auto tmp30 = tmp20 <= 6;
2022-11-23T01:32:37.9156276Z                         auto tmp31 = tmp29 & tmp30;
2022-11-23T01:32:37.9156359Z                         float tmp32 = 0.0;
2022-11-23T01:32:37.9156421Z                         if(tmp31)
2022-11-23T01:32:37.9156494Z                         {
2022-11-23T01:32:37.9156671Z                             auto tmp33 = static_cast<int>(17 + ((-1)*i0));
2022-11-23T01:32:37.9156778Z                             auto tmp34 = static_cast<int>(1 + i1);
2022-11-23T01:32:37.9156887Z                             auto tmp35 = in_ptr0[tmp34 + (11*tmp33)];
2022-11-23T01:32:37.9156968Z                             tmp32 = tmp35;
2022-11-23T01:32:37.9157037Z                         }
2022-11-23T01:32:37.9157237Z                         auto tmp36 = tmp28 + tmp32;
2022-11-23T01:32:37.9157376Z                         auto tmp37 = tmp23 & tmp6;
2022-11-23T01:32:37.9157485Z                         float tmp38 = 0.0;
2022-11-23T01:32:37.9157562Z                         if(tmp37)
2022-11-23T01:32:37.9157631Z                         {
2022-11-23T01:32:37.9157818Z                             auto tmp39 = static_cast<int>(3 + ((-1)*i0));
2022-11-23T01:32:37.9157991Z                             auto tmp40 = static_cast<int>(1 + ((-1)*i1));
2022-11-23T01:32:37.9158090Z                             auto tmp41 = in_ptr0[tmp40 + (11*tmp39)];
2022-11-23T01:32:37.9158172Z                             tmp38 = tmp41;
2022-11-23T01:32:37.9158239Z                         }
2022-11-23T01:32:37.9158333Z                         auto tmp42 = tmp36 + tmp38;
2022-11-23T01:32:37.9158425Z                         auto tmp43 = tmp23 & tmp14;
2022-11-23T01:32:37.9158510Z                         float tmp44 = 0.0;
2022-11-23T01:32:37.9158585Z                         if(tmp43)
2022-11-23T01:32:37.9158639Z                         {
2022-11-23T01:32:37.9158809Z                             auto tmp45 = static_cast<int>(3 + ((-1)*i0));
2022-11-23T01:32:37.9158985Z                             auto tmp46 = static_cast<int>(15 + ((-1)*i1));
2022-11-23T01:32:37.9159092Z                             auto tmp47 = in_ptr0[tmp46 + (11*tmp45)];
2022-11-23T01:32:37.9159172Z                             tmp44 = tmp47;
2022-11-23T01:32:37.9159238Z                         }
2022-11-23T01:32:37.9159331Z                         auto tmp48 = tmp42 + tmp44;
2022-11-23T01:32:37.9159425Z                         auto tmp49 = tmp31 & tmp6;
2022-11-23T01:32:37.9159496Z                         float tmp50 = 0.0;
2022-11-23T01:32:37.9159568Z                         if(tmp49)
2022-11-23T01:32:37.9159636Z                         {
2022-11-23T01:32:37.9159810Z                             auto tmp51 = static_cast<int>(17 + ((-1)*i0));
2022-11-23T01:32:37.9159980Z                             auto tmp52 = static_cast<int>(1 + ((-1)*i1));
2022-11-23T01:32:37.9160086Z                             auto tmp53 = in_ptr0[tmp52 + (11*tmp51)];
2022-11-23T01:32:37.9160229Z                             tmp50 = tmp53;
2022-11-23T01:32:37.9160283Z                         }
2022-11-23T01:32:37.9160376Z                         auto tmp54 = tmp48 + tmp50;
2022-11-23T01:32:37.9160469Z                         auto tmp55 = tmp31 & tmp14;
2022-11-23T01:32:37.9160553Z                         float tmp56 = 0.0;
2022-11-23T01:32:37.9160628Z                         if(tmp55)
2022-11-23T01:32:37.9160696Z                         {
2022-11-23T01:32:37.9160905Z                             auto tmp57 = static_cast<int>(17 + ((-1)*i0));
2022-11-23T01:32:37.9161067Z                             auto tmp58 = static_cast<int>(15 + ((-1)*i1));
2022-11-23T01:32:37.9161177Z                             auto tmp59 = in_ptr0[tmp58 + (11*tmp57)];
2022-11-23T01:32:37.9161260Z                             tmp56 = tmp59;
2022-11-23T01:32:37.9161329Z                         }
2022-11-23T01:32:37.9161423Z                         auto tmp60 = tmp54 + tmp56;
2022-11-23T01:32:37.9161522Z                         out_ptr0[i1 + (8*i0)] = tmp60;
2022-11-23T01:32:37.9161587Z                     }
2022-11-23T01:32:37.9161639Z                 }
2022-11-23T01:32:37.9161701Z             }
2022-11-23T01:32:37.9161763Z         }
2022-11-23T01:32:37.9161824Z     }
2022-11-23T01:32:37.9161883Z }
2022-11-23T01:32:37.9161959Z ''')
2022-11-23T01:32:37.9161964Z 
2022-11-23T01:32:37.9161969Z 
2022-11-23T01:32:37.9162058Z async_compile.wait(globals())
2022-11-23T01:32:37.9162120Z del async_compile
2022-11-23T01:32:37.9162139Z 
2022-11-23T01:32:37.9162196Z def call(args):
2022-11-23T01:32:37.9162270Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.9162339Z     args.clear()
2022-11-23T01:32:37.9162550Z     buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9162684Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.9162751Z     del arg0_1
2022-11-23T01:32:37.9162820Z     return (buf0, )
2022-11-23T01:32:37.9162828Z 
2022-11-23T01:32:37.9162831Z 
2022-11-23T01:32:37.9162894Z if __name__ == "__main__":
2022-11-23T01:32:37.9163004Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9163126Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9163343Z     arg0_1 = rand_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9163554Z     arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9163667Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.9164044Z [2022-11-23 01:25:53,141] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/go/cgodhcuhd3mdobdeq6dj3gbupbyk4p6vzvpzwnmhxxdhezbcganr.py
2022-11-23T01:32:37.9164306Z [2022-11-23 01:25:53,141] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 332
2022-11-23T01:32:37.9164312Z 
2022-11-23T01:32:37.9164378Z ok (7.949s)
2022-11-23T01:32:37.9164683Z   test_reflection_pad2d_cpu (__main__.CpuTests) ... [2022-11-23 01:25:53,152] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9164946Z [2022-11-23 01:25:53,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9165165Z [2022-11-23 01:25:53,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9165417Z [2022-11-23 01:25:53,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9165702Z [2022-11-23 01:25:53,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9166023Z [2022-11-23 01:25:53,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9166348Z [2022-11-23 01:25:53,153] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f642a660, file "inductor/test_torchinductor.py", line 3027> 
2022-11-23T01:32:37.9166477Z  3029           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.9166585Z                2 LOAD_METHOD              1 (reflection_pad2d)
2022-11-23T01:32:37.9166663Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9166752Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:37.9166840Z                8 LOAD_CONST               1 (1)
2022-11-23T01:32:37.9166958Z               10 LOAD_CONST               1 (1)
2022-11-23T01:32:37.9167045Z               12 LOAD_CONST               1 (1)
2022-11-23T01:32:37.9167133Z               14 BUILD_LIST               4
2022-11-23T01:32:37.9167220Z               16 CALL_METHOD              2
2022-11-23T01:32:37.9167226Z 
2022-11-23T01:32:37.9167306Z 3030          18 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.9167414Z               20 LOAD_METHOD              1 (reflection_pad2d)
2022-11-23T01:32:37.9167503Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9167591Z               24 LOAD_CONST               1 (1)
2022-11-23T01:32:37.9167678Z               26 LOAD_CONST               2 (2)
2022-11-23T01:32:37.9167764Z               28 LOAD_CONST               3 (3)
2022-11-23T01:32:37.9167850Z               30 LOAD_CONST               4 (4)
2022-11-23T01:32:37.9167936Z               32 BUILD_LIST               4
2022-11-23T01:32:37.9168010Z               34 CALL_METHOD              2
2022-11-23T01:32:37.9168099Z               36 BUILD_TUPLE              2
2022-11-23T01:32:37.9168174Z               38 RETURN_VALUE
2022-11-23T01:32:37.9168233Z  
2022-11-23T01:32:37.9168238Z 
2022-11-23T01:32:37.9168505Z [2022-11-23 01:25:53,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3029
2022-11-23T01:32:37.9168719Z [2022-11-23 01:25:53,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.9169044Z [2022-11-23 01:25:53,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.9169316Z [2022-11-23 01:25:53,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.reflection_pad2d)]
2022-11-23T01:32:37.9169601Z [2022-11-23 01:25:53,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.reflection_pad2d), TensorVariable()]
2022-11-23T01:32:37.9169939Z [2022-11-23 01:25:53,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.reflection_pad2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9170309Z [2022-11-23 01:25:53,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.reflection_pad2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9170720Z [2022-11-23 01:25:53,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.reflection_pad2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9171166Z [2022-11-23 01:25:53,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [TorchVariable(aten.reflection_pad2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9171498Z [2022-11-23 01:25:53,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.9171764Z [2022-11-23 01:25:53,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3030
2022-11-23T01:32:37.9172012Z [2022-11-23 01:25:53,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.9172366Z [2022-11-23 01:25:53,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.9172687Z [2022-11-23 01:25:53,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.reflection_pad2d)]
2022-11-23T01:32:37.9173013Z [2022-11-23 01:25:53,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable()]
2022-11-23T01:32:37.9173415Z [2022-11-23 01:25:53,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9173807Z [2022-11-23 01:25:53,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9174247Z [2022-11-23 01:25:53,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9174721Z [2022-11-23 01:25:53,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9175080Z [2022-11-23 01:25:53,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.9175345Z [2022-11-23 01:25:53,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9175588Z [2022-11-23 01:25:53,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9175916Z [2022-11-23 01:25:53,183] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f642a660, file "inductor/test_torchinductor.py", line 3027>
2022-11-23T01:32:37.9176161Z [2022-11-23 01:25:53,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9176391Z [2022-11-23 01:25:53,184] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9176643Z [2022-11-23 01:25:53,186] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9176892Z [2022-11-23 01:25:53,191] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9177066Z [2022-11-23 01:25:53,191] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9177198Z  __compiled_fn_340 <eval_with_key>.2117 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9177286Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9177427Z call_function, reflection_pad2d, aten.reflection_pad2d, (ex_0_, [1, 1, 1, 1]), {}
2022-11-23T01:32:37.9177571Z call_function, reflection_pad2d_1, aten.reflection_pad2d, (ex_0_, [1, 2, 3, 4]), {}
2022-11-23T01:32:37.9177706Z output, output, output, ((reflection_pad2d, reflection_pad2d_1),), {}
2022-11-23T01:32:37.9177712Z 
2022-11-23T01:32:37.9177987Z [2022-11-23 01:25:53,192] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9178080Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9178169Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9178250Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9178338Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9178413Z               8 RETURN_VALUE
2022-11-23T01:32:37.9178419Z 
2022-11-23T01:32:37.9178479Z  
2022-11-23T01:32:37.9178748Z [2022-11-23 01:25:53,192] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9178855Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_340)
2022-11-23T01:32:37.9178943Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9179052Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9179126Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9179214Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.9179314Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.9179414Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9179501Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9179607Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.9179696Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9179783Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9179857Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.9179943Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.9180019Z              26 RETURN_VALUE
2022-11-23T01:32:37.9180024Z 
2022-11-23T01:32:37.9180084Z  
2022-11-23T01:32:37.9180265Z [2022-11-23 01:25:53,194] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9180346Z  - 
2022-11-23T01:32:37.9180452Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9180514Z             {
2022-11-23T01:32:37.9180653Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9180837Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.9180956Z                 'obj_weakref': None
2022-11-23T01:32:37.9181181Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9181248Z             }
2022-11-23T01:32:37.9181298Z             
2022-11-23T01:32:37.9181367Z  - 
2022-11-23T01:32:37.9181490Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9181551Z             {
2022-11-23T01:32:37.9181692Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9181797Z                 'code': None,
2022-11-23T01:32:37.9181993Z                 'obj_weakref': <weakref at 0x7f70f2949ad0; to 'Tensor' at 0x7f71c1271ad0>
2022-11-23T01:32:37.9182244Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9182309Z             }
2022-11-23T01:32:37.9182370Z             
2022-11-23T01:32:37.9182437Z  - 
2022-11-23T01:32:37.9182566Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9182628Z             {
2022-11-23T01:32:37.9182748Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9182918Z                 'code': ['___check_obj_id(model, 140124018399856)'],
2022-11-23T01:32:37.9183035Z                 'obj_weakref': None
2022-11-23T01:32:37.9183263Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9183325Z             }
2022-11-23T01:32:37.9183387Z             
2022-11-23T01:32:37.9183454Z  - 
2022-11-23T01:32:37.9183563Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9183623Z             {
2022-11-23T01:32:37.9183756Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9183973Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9184089Z                 'obj_weakref': None
2022-11-23T01:32:37.9184305Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9184366Z             }
2022-11-23T01:32:37.9184429Z             
2022-11-23T01:32:37.9184568Z  - 
2022-11-23T01:32:37.9184701Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.9184765Z             {
2022-11-23T01:32:37.9184885Z                 'guard_types': None,
2022-11-23T01:32:37.9184992Z                 'code': None,
2022-11-23T01:32:37.9185108Z                 'obj_weakref': None
2022-11-23T01:32:37.9185214Z                 'guarded_class': None
2022-11-23T01:32:37.9185277Z             }
2022-11-23T01:32:37.9185339Z             
2022-11-23T01:32:37.9185596Z [2022-11-23 01:25:53,202] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 333
2022-11-23T01:32:37.9186003Z [2022-11-23 01:25:55,797] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6d/c6dgo4lejlr4jzm4ek3t23nahsyyjdkpzieciztcqyxkxp52alrz.py
2022-11-23T01:32:37.9186266Z [2022-11-23 01:25:55,798] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 333
2022-11-23T01:32:37.9186273Z 
2022-11-23T01:32:37.9186365Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9186433Z import torch
2022-11-23T01:32:37.9186517Z import random
2022-11-23T01:32:37.9186631Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9186752Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9186757Z 
2022-11-23T01:32:37.9186834Z aten = torch.ops.aten
2022-11-23T01:32:37.9186967Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9187059Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9187064Z 
2022-11-23T01:32:37.9187068Z 
2022-11-23T01:32:37.9187200Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9187406Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9187512Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9187609Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.9187704Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.9187763Z {
2022-11-23T01:32:37.9187860Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9187923Z     {
2022-11-23T01:32:37.9187998Z         #pragma omp for 
2022-11-23T01:32:37.9188068Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:37.9188129Z         {
2022-11-23T01:32:37.9188207Z             #pragma GCC ivdep
2022-11-23T01:32:37.9188290Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:37.9188351Z             {
2022-11-23T01:32:37.9188415Z                 {
2022-11-23T01:32:37.9188481Z                     {
2022-11-23T01:32:37.9188572Z                         auto tmp0 = static_cast<int>(7);
2022-11-23T01:32:37.9188675Z                         auto tmp1 = static_cast<int>(i0);
2022-11-23T01:32:37.9188776Z                         auto tmp2 = static_cast<int>(1);
2022-11-23T01:32:37.9188916Z                         auto tmp3 = tmp1 - tmp2;
2022-11-23T01:32:37.9189027Z                         auto tmp4 = std::abs(tmp3);
2022-11-23T01:32:37.9189164Z                         auto tmp5 = tmp0 - tmp4;
2022-11-23T01:32:37.9189263Z                         auto tmp6 = std::abs(tmp5);
2022-11-23T01:32:37.9189387Z                         auto tmp7 = tmp0 - tmp6;
2022-11-23T01:32:37.9189488Z                         auto tmp8 = static_cast<int>(i1);
2022-11-23T01:32:37.9189625Z                         auto tmp9 = tmp8 - tmp2;
2022-11-23T01:32:37.9189727Z                         auto tmp10 = std::abs(tmp9);
2022-11-23T01:32:37.9189870Z                         auto tmp11 = tmp0 - tmp10;
2022-11-23T01:32:37.9189971Z                         auto tmp12 = std::abs(tmp11);
2022-11-23T01:32:37.9190115Z                         auto tmp13 = tmp0 - tmp12;
2022-11-23T01:32:37.9190222Z                         auto tmp14 = in_ptr0[tmp13 + (8*tmp7)];
2022-11-23T01:32:37.9190305Z                         out_ptr0[i1 + (10*i0)] = tmp14;
2022-11-23T01:32:37.9190374Z                     }
2022-11-23T01:32:37.9190441Z                 }
2022-11-23T01:32:37.9190504Z             }
2022-11-23T01:32:37.9190570Z         }
2022-11-23T01:32:37.9190648Z         #pragma omp for 
2022-11-23T01:32:37.9190718Z         for(long i0=0; i0<15; i0+=1)
2022-11-23T01:32:37.9190782Z         {
2022-11-23T01:32:37.9190862Z             #pragma GCC ivdep
2022-11-23T01:32:37.9190949Z             for(long i1=0; i1<11; i1+=1)
2022-11-23T01:32:37.9191015Z             {
2022-11-23T01:32:37.9191081Z                 {
2022-11-23T01:32:37.9191148Z                     {
2022-11-23T01:32:37.9191239Z                         auto tmp0 = static_cast<int>(7);
2022-11-23T01:32:37.9191341Z                         auto tmp1 = static_cast<int>(i0);
2022-11-23T01:32:37.9191474Z                         auto tmp2 = static_cast<int>(3);
2022-11-23T01:32:37.9191615Z                         auto tmp3 = tmp1 - tmp2;
2022-11-23T01:32:37.9191717Z                         auto tmp4 = std::abs(tmp3);
2022-11-23T01:32:37.9191856Z                         auto tmp5 = tmp0 - tmp4;
2022-11-23T01:32:37.9191955Z                         auto tmp6 = std::abs(tmp5);
2022-11-23T01:32:37.9192094Z                         auto tmp7 = tmp0 - tmp6;
2022-11-23T01:32:37.9192210Z                         auto tmp8 = static_cast<int>(i1);
2022-11-23T01:32:37.9192313Z                         auto tmp9 = static_cast<int>(1);
2022-11-23T01:32:37.9192454Z                         auto tmp10 = tmp8 - tmp9;
2022-11-23T01:32:37.9192558Z                         auto tmp11 = std::abs(tmp10);
2022-11-23T01:32:37.9192700Z                         auto tmp12 = tmp0 - tmp11;
2022-11-23T01:32:37.9192799Z                         auto tmp13 = std::abs(tmp12);
2022-11-23T01:32:37.9192941Z                         auto tmp14 = tmp0 - tmp13;
2022-11-23T01:32:37.9193037Z                         auto tmp15 = in_ptr0[tmp14 + (8*tmp7)];
2022-11-23T01:32:37.9193134Z                         out_ptr1[i1 + (11*i0)] = tmp15;
2022-11-23T01:32:37.9193203Z                     }
2022-11-23T01:32:37.9193269Z                 }
2022-11-23T01:32:37.9193333Z             }
2022-11-23T01:32:37.9193396Z         }
2022-11-23T01:32:37.9193459Z     }
2022-11-23T01:32:37.9193505Z }
2022-11-23T01:32:37.9193583Z ''')
2022-11-23T01:32:37.9193590Z 
2022-11-23T01:32:37.9193596Z 
2022-11-23T01:32:37.9193684Z async_compile.wait(globals())
2022-11-23T01:32:37.9193757Z del async_compile
2022-11-23T01:32:37.9193762Z 
2022-11-23T01:32:37.9193834Z def call(args):
2022-11-23T01:32:37.9193905Z     arg0_1, = args
2022-11-23T01:32:37.9193975Z     args.clear()
2022-11-23T01:32:37.9194181Z     buf0 = empty_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9194396Z     buf1 = empty_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9194565Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.9194638Z     del arg0_1
2022-11-23T01:32:37.9194721Z     return (buf0, buf1, )
2022-11-23T01:32:37.9194726Z 
2022-11-23T01:32:37.9194731Z 
2022-11-23T01:32:37.9194806Z if __name__ == "__main__":
2022-11-23T01:32:37.9194918Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9195043Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9195243Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9195350Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.9195354Z 
2022-11-23T01:32:37.9195421Z ok (2.658s)
2022-11-23T01:32:37.9195719Z   test_relu_cpu (__main__.CpuTests) ... [2022-11-23 01:25:55,811] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9195991Z [2022-11-23 01:25:55,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9196211Z [2022-11-23 01:25:55,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9196463Z [2022-11-23 01:25:55,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9196750Z [2022-11-23 01:25:55,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9197070Z [2022-11-23 01:25:55,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9197582Z [2022-11-23 01:25:55,811] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6471ed0, file "inductor/test_torchinductor.py", line 994> 
2022-11-23T01:32:37.9197666Z  995           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.9197811Z               2 LOAD_METHOD              1 (relu)
2022-11-23T01:32:37.9197903Z               4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9197990Z               6 CALL_METHOD              1
2022-11-23T01:32:37.9198084Z               8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.9198176Z              10 LOAD_METHOD              1 (relu)
2022-11-23T01:32:37.9198267Z              12 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9198374Z              14 LOAD_FAST                1 (b)
2022-11-23T01:32:37.9198448Z              16 BINARY_ADD
2022-11-23T01:32:37.9198538Z              18 CALL_METHOD              1
2022-11-23T01:32:37.9198628Z              20 LOAD_CONST               1 (10)
2022-11-23T01:32:37.9198711Z              22 BINARY_TRUE_DIVIDE
2022-11-23T01:32:37.9198800Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.9198876Z              26 RETURN_VALUE
2022-11-23T01:32:37.9198924Z  
2022-11-23T01:32:37.9198930Z 
2022-11-23T01:32:37.9199197Z [2022-11-23 01:25:55,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:995
2022-11-23T01:32:37.9199419Z [2022-11-23 01:25:55,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.9199779Z [2022-11-23 01:25:55,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.9200100Z [2022-11-23 01:25:55,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method relu of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.9200452Z [2022-11-23 01:25:55,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method relu of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9200696Z [2022-11-23 01:25:55,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.9201084Z [2022-11-23 01:25:55,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.9201432Z [2022-11-23 01:25:55,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method relu of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.9201805Z [2022-11-23 01:25:55,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method relu of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9202214Z [2022-11-23 01:25:55,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method relu of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9202590Z [2022-11-23 01:25:55,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method relu of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9202847Z [2022-11-23 01:25:55,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9203165Z [2022-11-23 01:25:55,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9203430Z [2022-11-23 01:25:55,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9203673Z [2022-11-23 01:25:55,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9204000Z [2022-11-23 01:25:55,823] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6471ed0, file "inductor/test_torchinductor.py", line 994>
2022-11-23T01:32:37.9204242Z [2022-11-23 01:25:55,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9204511Z [2022-11-23 01:25:55,823] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9204766Z [2022-11-23 01:25:55,825] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9205016Z [2022-11-23 01:25:55,834] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9205190Z [2022-11-23 01:25:55,835] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9205349Z  __compiled_fn_341 <eval_with_key>.2123 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9205438Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9205525Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.9205748Z call_function, relu, <built-in method relu of type object at 0x7f71f2abebc0>, (ex_0_,), {}
2022-11-23T01:32:37.9205923Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.9206143Z call_function, relu_1, <built-in method relu of type object at 0x7f71f2abebc0>, (add,), {}
2022-11-23T01:32:37.9206333Z call_function, truediv, <built-in function truediv>, (relu_1, 10), {}
2022-11-23T01:32:37.9206429Z output, output, output, ((relu, truediv),), {}
2022-11-23T01:32:37.9206446Z 
2022-11-23T01:32:37.9206709Z [2022-11-23 01:25:55,835] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9206800Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9206891Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9206981Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9207070Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9207144Z               8 RETURN_VALUE
2022-11-23T01:32:37.9207149Z 
2022-11-23T01:32:37.9207209Z  
2022-11-23T01:32:37.9207469Z [2022-11-23 01:25:55,836] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9207576Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_341)
2022-11-23T01:32:37.9207667Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9207755Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9207830Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9207916Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9208007Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9208070Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.9208157Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.9208260Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.9208358Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9208444Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9208517Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.9208616Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9208704Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9208769Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.9208854Z              30 BUILD_TUPLE              2
2022-11-23T01:32:37.9208927Z              32 RETURN_VALUE
2022-11-23T01:32:37.9208932Z 
2022-11-23T01:32:37.9208992Z  
2022-11-23T01:32:37.9209173Z [2022-11-23 01:25:55,837] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9209240Z  - 
2022-11-23T01:32:37.9209358Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9209409Z             {
2022-11-23T01:32:37.9209550Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9209735Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.9209854Z                 'obj_weakref': None
2022-11-23T01:32:37.9210073Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9210138Z             }
2022-11-23T01:32:37.9210201Z             
2022-11-23T01:32:37.9210256Z  - 
2022-11-23T01:32:37.9210377Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9210500Z             {
2022-11-23T01:32:37.9210641Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9210746Z                 'code': None,
2022-11-23T01:32:37.9210954Z                 'obj_weakref': <weakref at 0x7f70f2e3eef0; to 'Tensor' at 0x7f712416d770>
2022-11-23T01:32:37.9211201Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9211280Z             }
2022-11-23T01:32:37.9211341Z             
2022-11-23T01:32:37.9211411Z  - 
2022-11-23T01:32:37.9211533Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.9211597Z             {
2022-11-23T01:32:37.9211740Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9211846Z                 'code': None,
2022-11-23T01:32:37.9212040Z                 'obj_weakref': <weakref at 0x7f70f2e3e770; to 'Tensor' at 0x7f7106763b30>
2022-11-23T01:32:37.9212286Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9212352Z             }
2022-11-23T01:32:37.9212415Z             
2022-11-23T01:32:37.9212484Z  - 
2022-11-23T01:32:37.9212612Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9212676Z             {
2022-11-23T01:32:37.9212795Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9212962Z                 'code': ['___check_obj_id(model, 140123423736176)'],
2022-11-23T01:32:37.9213083Z                 'obj_weakref': None
2022-11-23T01:32:37.9213309Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9213371Z             }
2022-11-23T01:32:37.9213433Z             
2022-11-23T01:32:37.9213502Z  - 
2022-11-23T01:32:37.9213611Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9213672Z             {
2022-11-23T01:32:37.9213807Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9214019Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9214134Z                 'obj_weakref': None
2022-11-23T01:32:37.9214351Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9214413Z             }
2022-11-23T01:32:37.9214462Z             
2022-11-23T01:32:37.9214530Z  - 
2022-11-23T01:32:37.9214663Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.9214726Z             {
2022-11-23T01:32:37.9214846Z                 'guard_types': None,
2022-11-23T01:32:37.9214950Z                 'code': None,
2022-11-23T01:32:37.9215066Z                 'obj_weakref': None
2022-11-23T01:32:37.9215174Z                 'guarded_class': None
2022-11-23T01:32:37.9215234Z             }
2022-11-23T01:32:37.9215296Z             
2022-11-23T01:32:37.9215552Z [2022-11-23 01:25:55,851] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 334
2022-11-23T01:32:37.9215920Z [2022-11-23 01:25:58,404] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bp/cbpp7akw4dqifltzb34twhv25wldosr6jcya6sxtd4so3j6p4knb.py
2022-11-23T01:32:37.9216184Z [2022-11-23 01:25:58,404] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 334
2022-11-23T01:32:37.9216189Z 
2022-11-23T01:32:37.9216284Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9216352Z import torch
2022-11-23T01:32:37.9216407Z import random
2022-11-23T01:32:37.9216521Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9216642Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9216647Z 
2022-11-23T01:32:37.9216724Z aten = torch.ops.aten
2022-11-23T01:32:37.9216856Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9216948Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9216953Z 
2022-11-23T01:32:37.9216957Z 
2022-11-23T01:32:37.9217094Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9217327Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9217434Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9217535Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.9217634Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.9217729Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.9217788Z {
2022-11-23T01:32:37.9217923Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9217985Z     {
2022-11-23T01:32:37.9218049Z         #pragma omp for 
2022-11-23T01:32:37.9218129Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.9218192Z         {
2022-11-23T01:32:37.9218329Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.9218457Z             auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:37.9218583Z             auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2022-11-23T01:32:37.9218668Z             auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:37.9218779Z             auto tmp4 = at::vec::clamp_min(tmp3, decltype(tmp3)(0));
2022-11-23T01:32:37.9218910Z             auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(10));
2022-11-23T01:32:37.9218994Z             auto tmp6 = tmp4 / tmp5;
2022-11-23T01:32:37.9219084Z             tmp1.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.9219177Z             tmp6.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.9219243Z         }
2022-11-23T01:32:37.9219339Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.9219408Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:37.9219472Z         {
2022-11-23T01:32:37.9219556Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.9219639Z             auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:37.9219729Z             auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:32:37.9219812Z             auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:37.9219898Z             auto tmp4 = tmp3 * (tmp3>0);
2022-11-23T01:32:37.9219988Z             auto tmp5 = static_cast<float>(10);
2022-11-23T01:32:37.9220069Z             auto tmp6 = tmp4 / tmp5;
2022-11-23T01:32:37.9220149Z             out_ptr0[i0] = tmp1;
2022-11-23T01:32:37.9220228Z             out_ptr1[i0] = tmp6;
2022-11-23T01:32:37.9220290Z         }
2022-11-23T01:32:37.9220356Z     }
2022-11-23T01:32:37.9220417Z }
2022-11-23T01:32:37.9220483Z ''')
2022-11-23T01:32:37.9220488Z 
2022-11-23T01:32:37.9220506Z 
2022-11-23T01:32:37.9220584Z async_compile.wait(globals())
2022-11-23T01:32:37.9220655Z del async_compile
2022-11-23T01:32:37.9220660Z 
2022-11-23T01:32:37.9220729Z def call(args):
2022-11-23T01:32:37.9220803Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.9220872Z     args.clear()
2022-11-23T01:32:37.9221066Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9221260Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9221437Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.9221507Z     del arg0_1
2022-11-23T01:32:37.9221574Z     del arg1_1
2022-11-23T01:32:37.9221649Z     return (buf0, buf1, )
2022-11-23T01:32:37.9221654Z 
2022-11-23T01:32:37.9221658Z 
2022-11-23T01:32:37.9221732Z if __name__ == "__main__":
2022-11-23T01:32:37.9221845Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9221969Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9222150Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9222339Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9222451Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.9222456Z 
2022-11-23T01:32:37.9222521Z ok (2.607s)
2022-11-23T01:32:37.9222833Z   test_remainder_cpu (__main__.CpuTests) ... [2022-11-23 01:25:58,421] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9223134Z [2022-11-23 01:25:58,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9223351Z [2022-11-23 01:25:58,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9223604Z [2022-11-23 01:25:58,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9223915Z [2022-11-23 01:25:58,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9224228Z [2022-11-23 01:25:58,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9224644Z [2022-11-23 01:25:58,422] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64234b0, file "inductor/test_torchinductor.py", line 2759> 
2022-11-23T01:32:37.9224745Z  2761           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.9224847Z                2 LOAD_METHOD              1 (remainder)
2022-11-23T01:32:37.9224941Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9225030Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.9225122Z                8 CALL_METHOD              2
2022-11-23T01:32:37.9225127Z 
2022-11-23T01:32:37.9225221Z 2762          10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.9225322Z               12 LOAD_METHOD              1 (remainder)
2022-11-23T01:32:37.9225398Z               14 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9225485Z               16 LOAD_CONST               1 (1)
2022-11-23T01:32:37.9225559Z               18 BINARY_ADD
2022-11-23T01:32:37.9225646Z               20 LOAD_FAST                1 (b)
2022-11-23T01:32:37.9225732Z               22 LOAD_CONST               1 (1)
2022-11-23T01:32:37.9225816Z               24 BINARY_SUBTRACT
2022-11-23T01:32:37.9225904Z               26 CALL_METHOD              2
2022-11-23T01:32:37.9225911Z 
2022-11-23T01:32:37.9225989Z 2763          28 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.9226085Z               30 LOAD_METHOD              1 (remainder)
2022-11-23T01:32:37.9226172Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9226260Z               34 LOAD_CONST               1 (1)
2022-11-23T01:32:37.9226338Z               36 BINARY_SUBTRACT
2022-11-23T01:32:37.9226428Z               38 LOAD_FAST                1 (b)
2022-11-23T01:32:37.9226513Z               40 LOAD_CONST               1 (1)
2022-11-23T01:32:37.9226571Z               42 BINARY_ADD
2022-11-23T01:32:37.9226658Z               44 CALL_METHOD              2
2022-11-23T01:32:37.9226747Z               46 BUILD_TUPLE              3
2022-11-23T01:32:37.9226822Z               48 RETURN_VALUE
2022-11-23T01:32:37.9226884Z  
2022-11-23T01:32:37.9226889Z 
2022-11-23T01:32:37.9227164Z [2022-11-23 01:25:58,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2761
2022-11-23T01:32:37.9227385Z [2022-11-23 01:25:58,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.9227759Z [2022-11-23 01:25:58,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR remainder [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.9228076Z [2022-11-23 01:25:58,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method remainder of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.9228433Z [2022-11-23 01:25:58,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method remainder of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9228823Z [2022-11-23 01:25:58,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method remainder of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9229133Z [2022-11-23 01:25:58,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2762
2022-11-23T01:32:37.9229378Z [2022-11-23 01:25:58,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.9229807Z [2022-11-23 01:25:58,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR remainder [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.9230166Z [2022-11-23 01:25:58,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.9230548Z [2022-11-23 01:25:58,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9230981Z [2022-11-23 01:25:58,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9231365Z [2022-11-23 01:25:58,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9231783Z [2022-11-23 01:25:58,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9232250Z [2022-11-23 01:25:58,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9232670Z [2022-11-23 01:25:58,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9232941Z [2022-11-23 01:25:58,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2763
2022-11-23T01:32:37.9233198Z [2022-11-23 01:25:58,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9233631Z [2022-11-23 01:25:58,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR remainder [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.9234017Z [2022-11-23 01:25:58,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.9234430Z [2022-11-23 01:25:58,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9234897Z [2022-11-23 01:25:58,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9235310Z [2022-11-23 01:25:58,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9235752Z [2022-11-23 01:25:58,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9236238Z [2022-11-23 01:25:58,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9236711Z [2022-11-23 01:25:58,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method remainder of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9237038Z [2022-11-23 01:25:58,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9237480Z [2022-11-23 01:25:58,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9237818Z [2022-11-23 01:25:58,444] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64234b0, file "inductor/test_torchinductor.py", line 2759>
2022-11-23T01:32:37.9238063Z [2022-11-23 01:25:58,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9238307Z [2022-11-23 01:25:58,444] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9238548Z [2022-11-23 01:25:58,448] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9238802Z [2022-11-23 01:25:58,462] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9238991Z [2022-11-23 01:25:58,463] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9239126Z  __compiled_fn_342 <eval_with_key>.2129 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9239218Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9239304Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.9239560Z call_function, remainder, <built-in method remainder of type object at 0x7f71f2abebc0>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.9239734Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.9239893Z call_function, sub, <built-in function sub>, (ex_1_, 1), {}
2022-11-23T01:32:37.9240146Z call_function, remainder_1, <built-in method remainder of type object at 0x7f71f2abebc0>, (add, sub), {}
2022-11-23T01:32:37.9240319Z call_function, sub_1, <built-in function sub>, (ex_0_, 1), {}
2022-11-23T01:32:37.9240493Z call_function, add_1, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:37.9240752Z call_function, remainder_2, <built-in method remainder of type object at 0x7f71f2abebc0>, (sub_1, add_1), {}
2022-11-23T01:32:37.9240890Z output, output, output, ((remainder, remainder_1, remainder_2),), {}
2022-11-23T01:32:37.9240896Z 
2022-11-23T01:32:37.9241172Z [2022-11-23 01:25:58,463] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9241269Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9241356Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9241440Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9241533Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9241611Z               8 RETURN_VALUE
2022-11-23T01:32:37.9241616Z 
2022-11-23T01:32:37.9241678Z  
2022-11-23T01:32:37.9241951Z [2022-11-23 01:25:58,464] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9242062Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_342)
2022-11-23T01:32:37.9242154Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9242231Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9242307Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9242394Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9242479Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9242555Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.9242642Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.9242806Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.9242894Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9242983Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9243059Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.9243162Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9243250Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9243358Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.9243457Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9243531Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:37.9243606Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.9243695Z              36 BUILD_TUPLE              3
2022-11-23T01:32:37.9243770Z              38 RETURN_VALUE
2022-11-23T01:32:37.9243775Z 
2022-11-23T01:32:37.9243840Z  
2022-11-23T01:32:37.9244022Z [2022-11-23 01:25:58,466] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9244094Z  - 
2022-11-23T01:32:37.9244214Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9244265Z             {
2022-11-23T01:32:37.9244406Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9244590Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.9244707Z                 'obj_weakref': None
2022-11-23T01:32:37.9244929Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9244995Z             }
2022-11-23T01:32:37.9245056Z             
2022-11-23T01:32:37.9245111Z  - 
2022-11-23T01:32:37.9245233Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9245296Z             {
2022-11-23T01:32:37.9245435Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9245540Z                 'code': None,
2022-11-23T01:32:37.9245749Z                 'obj_weakref': <weakref at 0x7f70f2e3ead0; to 'Tensor' at 0x7f7106c9f410>
2022-11-23T01:32:37.9245996Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9246047Z             }
2022-11-23T01:32:37.9246110Z             
2022-11-23T01:32:37.9246178Z  - 
2022-11-23T01:32:37.9246297Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.9246362Z             {
2022-11-23T01:32:37.9246504Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9246611Z                 'code': None,
2022-11-23T01:32:37.9246804Z                 'obj_weakref': <weakref at 0x7f71c0f3f1d0; to 'Tensor' at 0x7f7106dd0770>
2022-11-23T01:32:37.9247050Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9247113Z             }
2022-11-23T01:32:37.9247175Z             
2022-11-23T01:32:37.9247242Z  - 
2022-11-23T01:32:37.9247372Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9247435Z             {
2022-11-23T01:32:37.9247557Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9247724Z                 'code': ['___check_obj_id(model, 140123087706160)'],
2022-11-23T01:32:37.9247840Z                 'obj_weakref': None
2022-11-23T01:32:37.9248067Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9248130Z             }
2022-11-23T01:32:37.9248192Z             
2022-11-23T01:32:37.9248258Z  - 
2022-11-23T01:32:37.9248369Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9248430Z             {
2022-11-23T01:32:37.9248564Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9248779Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9248896Z                 'obj_weakref': None
2022-11-23T01:32:37.9249109Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9249171Z             }
2022-11-23T01:32:37.9249252Z             
2022-11-23T01:32:37.9249319Z  - 
2022-11-23T01:32:37.9249453Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.9249515Z             {
2022-11-23T01:32:37.9249631Z                 'guard_types': None,
2022-11-23T01:32:37.9249738Z                 'code': None,
2022-11-23T01:32:37.9249842Z                 'obj_weakref': None
2022-11-23T01:32:37.9249959Z                 'guarded_class': None
2022-11-23T01:32:37.9250021Z             }
2022-11-23T01:32:37.9250112Z             
2022-11-23T01:32:37.9250370Z [2022-11-23 01:25:58,489] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 335
2022-11-23T01:32:37.9250749Z [2022-11-23 01:26:01,020] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dl/cdlqvczqtweynnzcdyjaxxpestqegqxzvrgqybpucm5fwst63mu7.py
2022-11-23T01:32:37.9251014Z [2022-11-23 01:26:01,021] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 335
2022-11-23T01:32:37.9251022Z 
2022-11-23T01:32:37.9251114Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9251171Z import torch
2022-11-23T01:32:37.9251238Z import random
2022-11-23T01:32:37.9251351Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9251471Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9251477Z 
2022-11-23T01:32:37.9251553Z aten = torch.ops.aten
2022-11-23T01:32:37.9251685Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9251778Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9251783Z 
2022-11-23T01:32:37.9251788Z 
2022-11-23T01:32:37.9251921Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9252113Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9252230Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9252332Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.9252429Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.9252527Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.9252618Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:37.9252679Z {
2022-11-23T01:32:37.9252778Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9252827Z     {
2022-11-23T01:32:37.9252903Z         #pragma omp for 
2022-11-23T01:32:37.9252986Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:37.9253049Z         {
2022-11-23T01:32:37.9253119Z             {
2022-11-23T01:32:37.9253181Z                 {
2022-11-23T01:32:37.9253261Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.9253349Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:37.9253445Z                     auto tmp2 = mod(tmp0, tmp1);
2022-11-23T01:32:37.9253533Z                     auto tmp3 = tmp2 + tmp1;
2022-11-23T01:32:37.9253656Z                     auto tmp4 = ((tmp2 != 0) & ((tmp2 < 0) != (tmp1 < 0))) ? tmp3 : tmp2;
2022-11-23T01:32:37.9253761Z                     auto tmp5 = static_cast<float>(1);
2022-11-23T01:32:37.9253848Z                     auto tmp6 = tmp0 + tmp5;
2022-11-23T01:32:37.9253968Z                     auto tmp7 = tmp1 - tmp5;
2022-11-23T01:32:37.9254062Z                     auto tmp8 = mod(tmp6, tmp7);
2022-11-23T01:32:37.9254153Z                     auto tmp9 = tmp8 + tmp7;
2022-11-23T01:32:37.9254274Z                     auto tmp10 = ((tmp8 != 0) & ((tmp8 < 0) != (tmp7 < 0))) ? tmp9 : tmp8;
2022-11-23T01:32:37.9254411Z                     auto tmp11 = tmp0 - tmp5;
2022-11-23T01:32:37.9254500Z                     auto tmp12 = tmp1 + tmp5;
2022-11-23T01:32:37.9254596Z                     auto tmp13 = mod(tmp11, tmp12);
2022-11-23T01:32:37.9254690Z                     auto tmp14 = tmp13 + tmp12;
2022-11-23T01:32:37.9254804Z                     auto tmp15 = ((tmp13 != 0) & ((tmp13 < 0) != (tmp12 < 0))) ? tmp14 : tmp13;
2022-11-23T01:32:37.9254888Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:32:37.9254972Z                     out_ptr1[i0] = tmp10;
2022-11-23T01:32:37.9255085Z                     out_ptr2[i0] = tmp15;
2022-11-23T01:32:37.9255150Z                 }
2022-11-23T01:32:37.9255212Z             }
2022-11-23T01:32:37.9255274Z         }
2022-11-23T01:32:37.9255323Z     }
2022-11-23T01:32:37.9255381Z }
2022-11-23T01:32:37.9255463Z ''')
2022-11-23T01:32:37.9255468Z 
2022-11-23T01:32:37.9255472Z 
2022-11-23T01:32:37.9255562Z async_compile.wait(globals())
2022-11-23T01:32:37.9255632Z del async_compile
2022-11-23T01:32:37.9255667Z 
2022-11-23T01:32:37.9255737Z def call(args):
2022-11-23T01:32:37.9255811Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.9255870Z     args.clear()
2022-11-23T01:32:37.9256064Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9256256Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9256440Z     buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9256654Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:37.9256724Z     del arg0_1
2022-11-23T01:32:37.9256789Z     del arg1_1
2022-11-23T01:32:37.9256870Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:37.9256875Z 
2022-11-23T01:32:37.9256880Z 
2022-11-23T01:32:37.9256943Z if __name__ == "__main__":
2022-11-23T01:32:37.9257056Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9257178Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9257371Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9257559Z     arg1_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9257672Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.9257676Z 
2022-11-23T01:32:37.9257742Z ok (2.616s)
2022-11-23T01:32:37.9258047Z   test_repeat_cpu (__main__.CpuTests) ... [2022-11-23 01:26:01,033] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9258304Z [2022-11-23 01:26:01,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9258518Z [2022-11-23 01:26:01,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9258772Z [2022-11-23 01:26:01,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9259059Z [2022-11-23 01:26:01,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9259380Z [2022-11-23 01:26:01,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9259707Z [2022-11-23 01:26:01,034] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f640fa50, file "inductor/test_torchinductor.py", line 2152> 
2022-11-23T01:32:37.9259800Z  2154           0 LOAD_FAST                0 (x)
2022-11-23T01:32:37.9259894Z                2 LOAD_METHOD              0 (repeat)
2022-11-23T01:32:37.9259984Z                4 LOAD_CONST               1 (2)
2022-11-23T01:32:37.9260060Z                6 LOAD_CONST               1 (2)
2022-11-23T01:32:37.9260146Z                8 LOAD_CONST               2 (3)
2022-11-23T01:32:37.9260234Z               10 LOAD_CONST               3 (1)
2022-11-23T01:32:37.9260322Z               12 CALL_METHOD              4
2022-11-23T01:32:37.9260327Z 
2022-11-23T01:32:37.9260414Z 2155          14 LOAD_FAST                0 (x)
2022-11-23T01:32:37.9260508Z               16 LOAD_METHOD              0 (repeat)
2022-11-23T01:32:37.9260594Z               18 LOAD_CONST               4 (8)
2022-11-23T01:32:37.9260668Z               20 LOAD_CONST               3 (1)
2022-11-23T01:32:37.9260753Z               22 LOAD_CONST               3 (1)
2022-11-23T01:32:37.9260840Z               24 LOAD_CONST               3 (1)
2022-11-23T01:32:37.9260956Z               26 CALL_METHOD              4
2022-11-23T01:32:37.9260961Z 
2022-11-23T01:32:37.9261046Z 2156          28 LOAD_FAST                0 (x)
2022-11-23T01:32:37.9261140Z               30 LOAD_METHOD              0 (repeat)
2022-11-23T01:32:37.9261223Z               32 LOAD_CONST               1 (2)
2022-11-23T01:32:37.9261307Z               34 LOAD_CONST               3 (1)
2022-11-23T01:32:37.9261421Z               36 LOAD_CONST               3 (1)
2022-11-23T01:32:37.9261507Z               38 LOAD_CONST               3 (1)
2022-11-23T01:32:37.9261591Z               40 LOAD_CONST               3 (1)
2022-11-23T01:32:37.9261675Z               42 LOAD_CONST               3 (1)
2022-11-23T01:32:37.9261762Z               44 CALL_METHOD              6
2022-11-23T01:32:37.9261849Z               46 BUILD_TUPLE              3
2022-11-23T01:32:37.9261924Z               48 RETURN_VALUE
2022-11-23T01:32:37.9261972Z  
2022-11-23T01:32:37.9261977Z 
2022-11-23T01:32:37.9262249Z [2022-11-23 01:26:01,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2154
2022-11-23T01:32:37.9262458Z [2022-11-23 01:26:01,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.9262701Z [2022-11-23 01:26:01,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR repeat [TensorVariable()]
2022-11-23T01:32:37.9262979Z [2022-11-23 01:26:01,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), repeat)]
2022-11-23T01:32:37.9263291Z [2022-11-23 01:26:01,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int)]
2022-11-23T01:32:37.9263637Z [2022-11-23 01:26:01,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9264022Z [2022-11-23 01:26:01,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9264540Z [2022-11-23 01:26:01,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9264811Z [2022-11-23 01:26:01,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2155
2022-11-23T01:32:37.9265046Z [2022-11-23 01:26:01,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:37.9265310Z [2022-11-23 01:26:01,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR repeat [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9265616Z [2022-11-23 01:26:01,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat)]
2022-11-23T01:32:37.9265960Z [2022-11-23 01:26:01,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int)]
2022-11-23T01:32:37.9266334Z [2022-11-23 01:26:01,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9266752Z [2022-11-23 01:26:01,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9267212Z [2022-11-23 01:26:01,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9267478Z [2022-11-23 01:26:01,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2156
2022-11-23T01:32:37.9267782Z [2022-11-23 01:26:01,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9268080Z [2022-11-23 01:26:01,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR repeat [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9268443Z [2022-11-23 01:26:01,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat)]
2022-11-23T01:32:37.9268812Z [2022-11-23 01:26:01,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int)]
2022-11-23T01:32:37.9269218Z [2022-11-23 01:26:01,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9269654Z [2022-11-23 01:26:01,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9270138Z [2022-11-23 01:26:01,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9270654Z [2022-11-23 01:26:01,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9271216Z [2022-11-23 01:26:01,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 6 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9271517Z [2022-11-23 01:26:01,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9271762Z [2022-11-23 01:26:01,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9272092Z [2022-11-23 01:26:01,045] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f640fa50, file "inductor/test_torchinductor.py", line 2152>
2022-11-23T01:32:37.9272337Z [2022-11-23 01:26:01,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9272571Z [2022-11-23 01:26:01,045] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9272823Z [2022-11-23 01:26:01,047] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9273074Z [2022-11-23 01:26:01,053] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9273260Z [2022-11-23 01:26:01,053] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9273382Z  __compiled_fn_343 <eval_with_key>.2135 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9273470Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9273579Z call_method, repeat, repeat, (ex_0_, 2, 2, 3, 1), {}
2022-11-23T01:32:37.9273685Z call_method, repeat_1, repeat, (ex_0_, 8, 1, 1, 1), {}
2022-11-23T01:32:37.9273796Z call_method, repeat_2, repeat, (ex_0_, 2, 1, 1, 1, 1, 1), {}
2022-11-23T01:32:37.9273918Z output, output, output, ((repeat, repeat_1, repeat_2),), {}
2022-11-23T01:32:37.9273924Z 
2022-11-23T01:32:37.9274199Z [2022-11-23 01:26:01,054] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9274291Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9274399Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9274488Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9274578Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9274654Z               8 RETURN_VALUE
2022-11-23T01:32:37.9274659Z 
2022-11-23T01:32:37.9274719Z  
2022-11-23T01:32:37.9275019Z [2022-11-23 01:26:01,054] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9275128Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_343)
2022-11-23T01:32:37.9275216Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9275294Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9275369Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9275455Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.9275557Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.9275660Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9275746Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9275820Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.9275908Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9275993Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9276068Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.9276167Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9276254Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:37.9276328Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.9276418Z              30 BUILD_TUPLE              3
2022-11-23T01:32:37.9276480Z              32 RETURN_VALUE
2022-11-23T01:32:37.9276485Z 
2022-11-23T01:32:37.9276548Z  
2022-11-23T01:32:37.9276731Z [2022-11-23 01:26:01,055] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9276803Z  - 
2022-11-23T01:32:37.9276923Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9276992Z             {
2022-11-23T01:32:37.9277238Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9277415Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.9277539Z                 'obj_weakref': None
2022-11-23T01:32:37.9277762Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9277827Z             }
2022-11-23T01:32:37.9277894Z             
2022-11-23T01:32:37.9277965Z  - 
2022-11-23T01:32:37.9278089Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9278140Z             {
2022-11-23T01:32:37.9278282Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9278388Z                 'code': None,
2022-11-23T01:32:37.9278599Z                 'obj_weakref': <weakref at 0x7f71c0f3f3b0; to 'Tensor' at 0x7f7106d23410>
2022-11-23T01:32:37.9278849Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9278916Z             }
2022-11-23T01:32:37.9278981Z             
2022-11-23T01:32:37.9279036Z  - 
2022-11-23T01:32:37.9279167Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9279232Z             {
2022-11-23T01:32:37.9279365Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9279534Z                 'code': ['___check_obj_id(model, 140123418577952)'],
2022-11-23T01:32:37.9279657Z                 'obj_weakref': None
2022-11-23T01:32:37.9279885Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9279936Z             }
2022-11-23T01:32:37.9280001Z             
2022-11-23T01:32:37.9280072Z  - 
2022-11-23T01:32:37.9280195Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9280259Z             {
2022-11-23T01:32:37.9280394Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9280610Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9280765Z                 'obj_weakref': None
2022-11-23T01:32:37.9280984Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9281049Z             }
2022-11-23T01:32:37.9281114Z             
2022-11-23T01:32:37.9281372Z [2022-11-23 01:26:01,068] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 336
2022-11-23T01:32:37.9281780Z [2022-11-23 01:26:03,660] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t4/ct42s2hrrisawin63hzclvjll7pbywoqztrj6kywb4gyco5db3f6.py
2022-11-23T01:32:37.9282048Z [2022-11-23 01:26:03,661] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 336
2022-11-23T01:32:37.9282055Z 
2022-11-23T01:32:37.9282148Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9282204Z import torch
2022-11-23T01:32:37.9282276Z import random
2022-11-23T01:32:37.9282392Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9282516Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9282521Z 
2022-11-23T01:32:37.9282601Z aten = torch.ops.aten
2022-11-23T01:32:37.9282737Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9282831Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9282836Z 
2022-11-23T01:32:37.9282841Z 
2022-11-23T01:32:37.9282973Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9283167Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9283284Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9283385Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.9283449Z {
2022-11-23T01:32:37.9283544Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9283607Z     {
2022-11-23T01:32:37.9283697Z         #pragma omp for  collapse(2)
2022-11-23T01:32:37.9283765Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:37.9283833Z         {
2022-11-23T01:32:37.9283916Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:37.9283979Z             {
2022-11-23T01:32:37.9284062Z                 #pragma GCC ivdep
2022-11-23T01:32:37.9284150Z                 for(long i2=0; i2<12; i2+=1)
2022-11-23T01:32:37.9284215Z                 {
2022-11-23T01:32:37.9284285Z                     #pragma GCC ivdep
2022-11-23T01:32:37.9284373Z                     for(long i3=0; i3<8; i3+=1)
2022-11-23T01:32:37.9284440Z                     {
2022-11-23T01:32:37.9284508Z                         {
2022-11-23T01:32:37.9284578Z                             {
2022-11-23T01:32:37.9284693Z                                 auto tmp0 = in_ptr0[i3 + (8*(i2 % 4)) + (32*(i1 % 2))];
2022-11-23T01:32:37.9284806Z                                 out_ptr0[i3 + (8*i2) + (96*i1) + (384*i0)] = tmp0;
2022-11-23T01:32:37.9284863Z                             }
2022-11-23T01:32:37.9284929Z                         }
2022-11-23T01:32:37.9284996Z                     }
2022-11-23T01:32:37.9285058Z                 }
2022-11-23T01:32:37.9285121Z             }
2022-11-23T01:32:37.9285184Z         }
2022-11-23T01:32:37.9285245Z     }
2022-11-23T01:32:37.9285291Z }
2022-11-23T01:32:37.9285367Z ''')
2022-11-23T01:32:37.9285372Z 
2022-11-23T01:32:37.9285376Z 
2022-11-23T01:32:37.9285463Z async_compile.wait(globals())
2022-11-23T01:32:37.9285536Z del async_compile
2022-11-23T01:32:37.9285541Z 
2022-11-23T01:32:37.9285610Z def call(args):
2022-11-23T01:32:37.9285679Z     arg0_1, = args
2022-11-23T01:32:37.9285748Z     args.clear()
2022-11-23T01:32:37.9285947Z     buf0 = empty_strided((2, 4, 12, 8), (384, 96, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9286077Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.9286227Z     return (buf0, as_strided(arg0_1, (8, 2, 4, 8), (0, 32, 8, 1)), as_strided(arg0_1, (2, 1, 1, 2, 4, 8), (0, 0, 0, 32, 8, 1)), )
2022-11-23T01:32:37.9286232Z 
2022-11-23T01:32:37.9286270Z 
2022-11-23T01:32:37.9286348Z if __name__ == "__main__":
2022-11-23T01:32:37.9286462Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9286583Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9286794Z     arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9286900Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.9286904Z 
2022-11-23T01:32:37.9286970Z ok (2.642s)
2022-11-23T01:32:37.9287294Z   test_roi_align_cpu (__main__.CpuTests) ... [2022-11-23 01:26:04,763] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9287564Z [2022-11-23 01:26:04,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9287780Z [2022-11-23 01:26:04,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9288032Z [2022-11-23 01:26:04,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9288319Z [2022-11-23 01:26:04,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9288640Z [2022-11-23 01:26:04,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9288965Z [2022-11-23 01:26:04,764] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64335d0, file "inductor/test_torchinductor.py", line 3335> 
2022-11-23T01:32:37.9289061Z  3336           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.9289154Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:37.9289244Z                4 LOAD_ATTR                2 (torchvision)
2022-11-23T01:32:37.9289343Z                6 LOAD_METHOD              3 (roi_align)
2022-11-23T01:32:37.9289433Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9289523Z               10 LOAD_FAST                1 (b)
2022-11-23T01:32:37.9289615Z               12 LOAD_CONST               1 (0.25)
2022-11-23T01:32:37.9289704Z               14 LOAD_CONST               2 (7)
2022-11-23T01:32:37.9289793Z               16 LOAD_CONST               2 (7)
2022-11-23T01:32:37.9289865Z               18 LOAD_CONST               3 (2)
2022-11-23T01:32:37.9289955Z               20 LOAD_CONST               4 (False)
2022-11-23T01:32:37.9290045Z               22 CALL_METHOD              7
2022-11-23T01:32:37.9290119Z               24 RETURN_VALUE
2022-11-23T01:32:37.9290180Z  
2022-11-23T01:32:37.9290185Z 
2022-11-23T01:32:37.9290453Z [2022-11-23 01:26:04,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3336
2022-11-23T01:32:37.9290671Z [2022-11-23 01:26:04,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.9291033Z [2022-11-23 01:26:04,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.9291340Z [2022-11-23 01:26:04,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR torchvision [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:37.9291652Z [2022-11-23 01:26:04,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR roi_align [TorchVariable(<module 'torch.ops.torchvision' from 'torch.ops'>)]
2022-11-23T01:32:37.9291920Z [2022-11-23 01:26:04,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(torchvision.roi_align)]
2022-11-23T01:32:37.9292215Z [2022-11-23 01:26:04,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(torchvision.roi_align), TensorVariable()]
2022-11-23T01:32:37.9292544Z [2022-11-23 01:26:04,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.25 [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9292909Z [2022-11-23 01:26:04,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7 [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.9293343Z [2022-11-23 01:26:04,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7 [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int)]
2022-11-23T01:32:37.9293811Z [2022-11-23 01:26:04,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9294297Z [2022-11-23 01:26:04,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9294819Z [2022-11-23 01:26:04,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 7 [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:37.9295066Z [2022-11-23 01:26:05,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9295395Z [2022-11-23 01:26:05,385] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64335d0, file "inductor/test_torchinductor.py", line 3335>
2022-11-23T01:32:37.9295644Z [2022-11-23 01:26:05,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9295863Z [2022-11-23 01:26:05,386] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9296115Z [2022-11-23 01:26:05,440] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9296363Z [2022-11-23 01:26:06,063] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9296553Z [2022-11-23 01:26:06,064] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9296685Z  __compiled_fn_344 <eval_with_key>.2141 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9296774Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9296859Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.9297005Z call_function, roi_align, torchvision.roi_align, (ex_0_, ex_1_, 0.25, 7, 7, 2, False), {}
2022-11-23T01:32:37.9297109Z output, output, output, ((roi_align,),), {}
2022-11-23T01:32:37.9297114Z 
2022-11-23T01:32:37.9297375Z [2022-11-23 01:26:06,064] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9297468Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9297557Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9297649Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9297741Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9297815Z               8 RETURN_VALUE
2022-11-23T01:32:37.9297820Z 
2022-11-23T01:32:37.9297883Z  
2022-11-23T01:32:37.9298141Z [2022-11-23 01:26:06,064] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9298248Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_344)
2022-11-23T01:32:37.9298339Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9298428Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9298502Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9298588Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9298675Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9298749Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.9298823Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.9298911Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.9299014Z              18 RETURN_VALUE
2022-11-23T01:32:37.9299019Z 
2022-11-23T01:32:37.9299079Z  
2022-11-23T01:32:37.9299260Z [2022-11-23 01:26:06,065] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9299328Z  - 
2022-11-23T01:32:37.9299447Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9299500Z             {
2022-11-23T01:32:37.9299639Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9299850Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.9299969Z                 'obj_weakref': None
2022-11-23T01:32:37.9300193Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9300256Z             }
2022-11-23T01:32:37.9300319Z             
2022-11-23T01:32:37.9300375Z  - 
2022-11-23T01:32:37.9300500Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9300562Z             {
2022-11-23T01:32:37.9300704Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9300812Z                 'code': None,
2022-11-23T01:32:37.9301023Z                 'obj_weakref': <weakref at 0x7f70f296eef0; to 'Tensor' at 0x7f70f11f6290>
2022-11-23T01:32:37.9301270Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9301321Z             }
2022-11-23T01:32:37.9301383Z             
2022-11-23T01:32:37.9301450Z  - 
2022-11-23T01:32:37.9301574Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.9301637Z             {
2022-11-23T01:32:37.9301779Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9301883Z                 'code': None,
2022-11-23T01:32:37.9302078Z                 'obj_weakref': <weakref at 0x7f70f296ed10; to 'Tensor' at 0x7f710cd890b0>
2022-11-23T01:32:37.9302323Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9302386Z             }
2022-11-23T01:32:37.9302452Z             
2022-11-23T01:32:37.9302519Z  - 
2022-11-23T01:32:37.9302647Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9302710Z             {
2022-11-23T01:32:37.9302831Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9302998Z                 'code': ['___check_obj_id(model, 140123421248688)'],
2022-11-23T01:32:37.9303115Z                 'obj_weakref': None
2022-11-23T01:32:37.9303342Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9303405Z             }
2022-11-23T01:32:37.9303466Z             
2022-11-23T01:32:37.9303532Z  - 
2022-11-23T01:32:37.9303640Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9303702Z             {
2022-11-23T01:32:37.9303835Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9304047Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9304162Z                 'obj_weakref': None
2022-11-23T01:32:37.9304380Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9304521Z             }
2022-11-23T01:32:37.9304573Z             
2022-11-23T01:32:37.9304646Z  - 
2022-11-23T01:32:37.9304778Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.9304841Z             {
2022-11-23T01:32:37.9304961Z                 'guard_types': None,
2022-11-23T01:32:37.9305068Z                 'code': None,
2022-11-23T01:32:37.9305186Z                 'obj_weakref': None
2022-11-23T01:32:37.9305293Z                 'guarded_class': None
2022-11-23T01:32:37.9305356Z             }
2022-11-23T01:32:37.9305420Z             
2022-11-23T01:32:37.9305680Z [2022-11-23 01:26:06,697] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 337
2022-11-23T01:32:37.9305937Z [2022-11-23 01:26:07,323] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.torchvision.roi_align
2022-11-23T01:32:37.9306341Z [2022-11-23 01:26:07,327] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i4/ci4pltn6avz2d55jzdstupuq6vnm6xd3a6vadxgy4bmwozbvz5uk.py
2022-11-23T01:32:37.9306603Z [2022-11-23 01:26:07,327] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 337
2022-11-23T01:32:37.9306609Z 
2022-11-23T01:32:37.9306701Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9306757Z import torch
2022-11-23T01:32:37.9306825Z import random
2022-11-23T01:32:37.9307013Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9307135Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9307141Z 
2022-11-23T01:32:37.9307220Z aten = torch.ops.aten
2022-11-23T01:32:37.9307355Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9307448Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9307453Z 
2022-11-23T01:32:37.9307458Z 
2022-11-23T01:32:37.9307546Z async_compile.wait(globals())
2022-11-23T01:32:37.9307607Z del async_compile
2022-11-23T01:32:37.9307612Z 
2022-11-23T01:32:37.9307683Z def call(args):
2022-11-23T01:32:37.9307760Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.9307832Z     args.clear()
2022-11-23T01:32:37.9307974Z     buf0 = torch.ops.torchvision.roi_align(arg0_1, arg1_1, 0.25, 7, 7, 2, False)
2022-11-23T01:32:37.9308043Z     del arg0_1
2022-11-23T01:32:37.9308109Z     del arg1_1
2022-11-23T01:32:37.9308164Z     buf1 = buf0
2022-11-23T01:32:37.9308280Z     assert_size_stride(buf1, (2292, 256, 7, 7), (12544, 49, 7, 1))
2022-11-23T01:32:37.9308345Z     del buf0
2022-11-23T01:32:37.9308416Z     return (buf1, )
2022-11-23T01:32:37.9308421Z 
2022-11-23T01:32:37.9308425Z 
2022-11-23T01:32:37.9308500Z if __name__ == "__main__":
2022-11-23T01:32:37.9308613Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9308735Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9308958Z     arg0_1 = rand_strided((4, 256, 296, 304), (23035904, 89984, 304, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9309162Z     arg1_1 = rand_strided((2292, 5), (5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9309275Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.9309280Z 
2022-11-23T01:32:37.9309346Z ok (9.600s)
2022-11-23T01:32:37.9309644Z   test_roll_cpu (__main__.CpuTests) ... [2022-11-23 01:26:13,278] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9309914Z [2022-11-23 01:26:13,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9310129Z [2022-11-23 01:26:13,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9310382Z [2022-11-23 01:26:13,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9310669Z [2022-11-23 01:26:13,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9310981Z [2022-11-23 01:26:13,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9311306Z [2022-11-23 01:26:13,278] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f63c6a50, file "inductor/test_torchinductor.py", line 4233> 
2022-11-23T01:32:37.9311401Z  4235           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.9311496Z                2 LOAD_METHOD              1 (roll)
2022-11-23T01:32:37.9311585Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9311721Z                6 LOAD_CONST               1 (-3)
2022-11-23T01:32:37.9311812Z                8 LOAD_CONST               2 (10)
2022-11-23T01:32:37.9311900Z               10 BUILD_LIST               2
2022-11-23T01:32:37.9311976Z               12 LOAD_CONST               3 (1)
2022-11-23T01:32:37.9312062Z               14 LOAD_CONST               4 (2)
2022-11-23T01:32:37.9312179Z               16 BUILD_LIST               2
2022-11-23T01:32:37.9312264Z               18 CALL_METHOD              3
2022-11-23T01:32:37.9312269Z 
2022-11-23T01:32:37.9312360Z 4236          20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.9312451Z               22 LOAD_METHOD              1 (roll)
2022-11-23T01:32:37.9312537Z               24 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9312624Z               26 LOAD_CONST               5 (5)
2022-11-23T01:32:37.9312728Z               28 BUILD_LIST               1
2022-11-23T01:32:37.9312813Z               30 CALL_METHOD              2
2022-11-23T01:32:37.9312900Z               32 BUILD_TUPLE              2
2022-11-23T01:32:37.9312975Z               34 RETURN_VALUE
2022-11-23T01:32:37.9313035Z  
2022-11-23T01:32:37.9313040Z 
2022-11-23T01:32:37.9313307Z [2022-11-23 01:26:13,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4235
2022-11-23T01:32:37.9313522Z [2022-11-23 01:26:13,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.9313828Z [2022-11-23 01:26:13,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR roll [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.9314063Z [2022-11-23 01:26:13,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.roll)]
2022-11-23T01:32:37.9314345Z [2022-11-23 01:26:13,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -3 [TorchVariable(aten.roll), TensorVariable()]
2022-11-23T01:32:37.9314661Z [2022-11-23 01:26:13,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.roll), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9315009Z [2022-11-23 01:26:13,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.roll), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9315310Z [2022-11-23 01:26:13,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.roll), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.9315646Z [2022-11-23 01:26:13,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.roll), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9316021Z [2022-11-23 01:26:13,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.roll), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9316348Z [2022-11-23 01:26:13,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.roll), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:37.9316611Z [2022-11-23 01:26:13,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4236
2022-11-23T01:32:37.9316852Z [2022-11-23 01:26:13,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.9317319Z [2022-11-23 01:26:13,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR roll [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.9317630Z [2022-11-23 01:26:13,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.roll)]
2022-11-23T01:32:37.9317936Z [2022-11-23 01:26:13,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable(), TorchVariable(aten.roll), TensorVariable()]
2022-11-23T01:32:37.9318284Z [2022-11-23 01:26:13,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(aten.roll), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9318618Z [2022-11-23 01:26:13,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.roll), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.9318889Z [2022-11-23 01:26:13,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9319193Z [2022-11-23 01:26:13,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9319526Z [2022-11-23 01:26:13,311] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f63c6a50, file "inductor/test_torchinductor.py", line 4233>
2022-11-23T01:32:37.9319771Z [2022-11-23 01:26:13,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9320040Z [2022-11-23 01:26:13,311] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9320298Z [2022-11-23 01:26:13,312] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9320533Z [2022-11-23 01:26:13,320] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9320720Z [2022-11-23 01:26:13,320] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9320856Z  __compiled_fn_345 <eval_with_key>.2147 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9320951Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9321123Z call_function, roll, aten.roll, (ex_0_, [-3, 10], [1, 2]), {}
2022-11-23T01:32:37.9321229Z call_function, roll_1, aten.roll, (ex_0_, [5]), {}
2022-11-23T01:32:37.9321334Z output, output, output, ((roll, roll_1),), {}
2022-11-23T01:32:37.9321340Z 
2022-11-23T01:32:37.9321619Z [2022-11-23 01:26:13,321] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9321700Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9321793Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9321886Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9321978Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9322057Z               8 RETURN_VALUE
2022-11-23T01:32:37.9322062Z 
2022-11-23T01:32:37.9322125Z  
2022-11-23T01:32:37.9322400Z [2022-11-23 01:26:13,321] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9322512Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_345)
2022-11-23T01:32:37.9322588Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9322679Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9322757Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9322847Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.9322953Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.9323056Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9323146Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9323209Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.9323310Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9323400Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9323476Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.9323568Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.9323646Z              26 RETURN_VALUE
2022-11-23T01:32:37.9323651Z 
2022-11-23T01:32:37.9323713Z  
2022-11-23T01:32:37.9323882Z [2022-11-23 01:26:13,322] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9323953Z  - 
2022-11-23T01:32:37.9324070Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9324135Z             {
2022-11-23T01:32:37.9324276Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9324464Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.9324585Z                 'obj_weakref': None
2022-11-23T01:32:37.9324796Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9324862Z             }
2022-11-23T01:32:37.9324928Z             
2022-11-23T01:32:37.9324999Z  - 
2022-11-23T01:32:37.9325125Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9325189Z             {
2022-11-23T01:32:37.9325360Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9325454Z                 'code': None,
2022-11-23T01:32:37.9325665Z                 'obj_weakref': <weakref at 0x7f71c467def0; to 'Tensor' at 0x7f70f276ccb0>
2022-11-23T01:32:37.9325916Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9325981Z             }
2022-11-23T01:32:37.9326044Z             
2022-11-23T01:32:37.9326143Z  - 
2022-11-23T01:32:37.9326273Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9326323Z             {
2022-11-23T01:32:37.9326455Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9326624Z                 'code': ['___check_obj_id(model, 140123087770112)'],
2022-11-23T01:32:37.9326741Z                 'obj_weakref': None
2022-11-23T01:32:37.9326971Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9327036Z             }
2022-11-23T01:32:37.9327098Z             
2022-11-23T01:32:37.9327155Z  - 
2022-11-23T01:32:37.9327274Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9327335Z             {
2022-11-23T01:32:37.9327471Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9327685Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9327801Z                 'obj_weakref': None
2022-11-23T01:32:37.9328018Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9328069Z             }
2022-11-23T01:32:37.9328132Z             
2022-11-23T01:32:37.9328199Z  - 
2022-11-23T01:32:37.9328331Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.9328392Z             {
2022-11-23T01:32:37.9328508Z                 'guard_types': None,
2022-11-23T01:32:37.9328611Z                 'code': None,
2022-11-23T01:32:37.9328715Z                 'obj_weakref': None
2022-11-23T01:32:37.9328834Z                 'guarded_class': None
2022-11-23T01:32:37.9328895Z             }
2022-11-23T01:32:37.9328958Z             
2022-11-23T01:32:37.9329215Z [2022-11-23 01:26:13,330] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 338
2022-11-23T01:32:37.9329575Z [2022-11-23 01:26:16,002] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5v/c5vaxz4ilo3f4i7amljx4oux7y3nijgdw4d5euxi2dfaxzrryq3x.py
2022-11-23T01:32:37.9329839Z [2022-11-23 01:26:16,002] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 338
2022-11-23T01:32:37.9329845Z 
2022-11-23T01:32:37.9329937Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9329994Z import torch
2022-11-23T01:32:37.9330062Z import random
2022-11-23T01:32:37.9330175Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9330294Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9330299Z 
2022-11-23T01:32:37.9330377Z aten = torch.ops.aten
2022-11-23T01:32:37.9330510Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9330599Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9330604Z 
2022-11-23T01:32:37.9330608Z 
2022-11-23T01:32:37.9330740Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9330931Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9331053Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9331151Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.9331247Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.9331307Z {
2022-11-23T01:32:37.9331403Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9331464Z     {
2022-11-23T01:32:37.9331541Z         #pragma omp for  collapse(2)
2022-11-23T01:32:37.9331621Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:37.9331682Z         {
2022-11-23T01:32:37.9331767Z             for(long i1=0; i1<56; i1+=1)
2022-11-23T01:32:37.9331873Z             {
2022-11-23T01:32:37.9331954Z                 #pragma GCC ivdep
2022-11-23T01:32:37.9332046Z                 for(long i2=0; i2<56; i2+=1)
2022-11-23T01:32:37.9332098Z                 {
2022-11-23T01:32:37.9332187Z                     for(long i3=0; i3<1; i3+=1)
2022-11-23T01:32:37.9332253Z                     {
2022-11-23T01:32:37.9332460Z                         auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (16*i3) + (16*((46 + i2) % 56)) + (896*((3 + i1) % 56)) + (50176*i0));
2022-11-23T01:32:37.9332580Z                         tmp0.store(out_ptr0 + (16*i2) + (16*i3) + (896*i1) + (50176*i0));
2022-11-23T01:32:37.9332645Z                     }
2022-11-23T01:32:37.9332744Z                     #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.9332824Z                     for(long i3=16; i3<16; i3+=1)
2022-11-23T01:32:37.9332891Z                     {
2022-11-23T01:32:37.9333015Z                         auto tmp0 = in_ptr0[i3 + (16*((46 + i2) % 56)) + (896*((3 + i1) % 56)) + (50176*i0)];
2022-11-23T01:32:37.9333128Z                         out_ptr0[i3 + (16*i2) + (896*i1) + (50176*i0)] = tmp0;
2022-11-23T01:32:37.9333191Z                     }
2022-11-23T01:32:37.9333254Z                 }
2022-11-23T01:32:37.9333315Z             }
2022-11-23T01:32:37.9333365Z         }
2022-11-23T01:32:37.9333440Z         #pragma omp for 
2022-11-23T01:32:37.9333525Z         for(long i0=0; i0<100352; i0+=1)
2022-11-23T01:32:37.9333587Z         {
2022-11-23T01:32:37.9333650Z             {
2022-11-23T01:32:37.9333712Z                 {
2022-11-23T01:32:37.9333817Z                     auto tmp0 = in_ptr0[(100347 + i0) % 100352];
2022-11-23T01:32:37.9333889Z                     out_ptr1[i0] = tmp0;
2022-11-23T01:32:37.9333956Z                 }
2022-11-23T01:32:37.9334019Z             }
2022-11-23T01:32:37.9334082Z         }
2022-11-23T01:32:37.9334143Z     }
2022-11-23T01:32:37.9334207Z }
2022-11-23T01:32:37.9334288Z ''')
2022-11-23T01:32:37.9334293Z 
2022-11-23T01:32:37.9334299Z 
2022-11-23T01:32:37.9334377Z async_compile.wait(globals())
2022-11-23T01:32:37.9334450Z del async_compile
2022-11-23T01:32:37.9334455Z 
2022-11-23T01:32:37.9334523Z def call(args):
2022-11-23T01:32:37.9334590Z     arg0_1, = args
2022-11-23T01:32:37.9334659Z     args.clear()
2022-11-23T01:32:37.9334879Z     buf0 = empty_strided((2, 56, 56, 16), (50176, 896, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9335075Z     buf1 = empty_strided((100352, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9335238Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.9335294Z     del arg0_1
2022-11-23T01:32:37.9335408Z     return (buf0, as_strided(buf1, (2, 56, 56, 16), (50176, 896, 16, 1)), )
2022-11-23T01:32:37.9335413Z 
2022-11-23T01:32:37.9335418Z 
2022-11-23T01:32:37.9335496Z if __name__ == "__main__":
2022-11-23T01:32:37.9335607Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9335729Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9335949Z     arg0_1 = rand_strided((2, 56, 56, 16), (50176, 896, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9336055Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.9336059Z 
2022-11-23T01:32:37.9336125Z ok (2.804s)
2022-11-23T01:32:37.9336435Z   test_round_correctness_cpu (__main__.CpuTests) ... [2022-11-23 01:26:16,080] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9336703Z [2022-11-23 01:26:16,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9336919Z [2022-11-23 01:26:16,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9337170Z [2022-11-23 01:26:16,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9337455Z [2022-11-23 01:26:16,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9337808Z [2022-11-23 01:26:16,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9338131Z [2022-11-23 01:26:16,081] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6477390, file "inductor/test_torchinductor.py", line 1026> 
2022-11-23T01:32:37.9338252Z  1027           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.9338348Z                2 LOAD_METHOD              1 (round)
2022-11-23T01:32:37.9338426Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9338512Z                6 CALL_METHOD              1
2022-11-23T01:32:37.9338588Z                8 RETURN_VALUE
2022-11-23T01:32:37.9338648Z  
2022-11-23T01:32:37.9338653Z 
2022-11-23T01:32:37.9338919Z [2022-11-23 01:26:16,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1027
2022-11-23T01:32:37.9339137Z [2022-11-23 01:26:16,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.9339504Z [2022-11-23 01:26:16,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.9339822Z [2022-11-23 01:26:16,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method round of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.9340175Z [2022-11-23 01:26:16,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method round of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9340409Z [2022-11-23 01:26:16,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9340733Z [2022-11-23 01:26:16,091] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6477390, file "inductor/test_torchinductor.py", line 1026>
2022-11-23T01:32:37.9340976Z [2022-11-23 01:26:16,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9341208Z [2022-11-23 01:26:16,091] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9341462Z [2022-11-23 01:26:16,093] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9341710Z [2022-11-23 01:26:16,099] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9341894Z [2022-11-23 01:26:16,100] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9342027Z  __compiled_fn_346 <eval_with_key>.2153 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9342116Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9342334Z call_function, round_1, <built-in method round of type object at 0x7f71f2abebc0>, (ex_0_,), {}
2022-11-23T01:32:37.9342435Z output, output, output, ((round_1,),), {}
2022-11-23T01:32:37.9342440Z 
2022-11-23T01:32:37.9342712Z [2022-11-23 01:26:16,100] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9342805Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9342894Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9342985Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9343075Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9343150Z               8 RETURN_VALUE
2022-11-23T01:32:37.9343155Z 
2022-11-23T01:32:37.9343203Z  
2022-11-23T01:32:37.9343472Z [2022-11-23 01:26:16,100] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9343579Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_346)
2022-11-23T01:32:37.9343668Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9343757Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9343859Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9343947Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.9344025Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.9344099Z              12 RETURN_VALUE
2022-11-23T01:32:37.9344104Z 
2022-11-23T01:32:37.9344162Z  
2022-11-23T01:32:37.9344341Z [2022-11-23 01:26:16,102] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9344409Z  - 
2022-11-23T01:32:37.9344646Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9344712Z             {
2022-11-23T01:32:37.9344841Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9345025Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.9345144Z                 'obj_weakref': None
2022-11-23T01:32:37.9345365Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9345430Z             }
2022-11-23T01:32:37.9345496Z             
2022-11-23T01:32:37.9345566Z  - 
2022-11-23T01:32:37.9345675Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9345736Z             {
2022-11-23T01:32:37.9345876Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9345980Z                 'code': None,
2022-11-23T01:32:37.9346186Z                 'obj_weakref': <weakref at 0x7f70f296ed10; to 'Tensor' at 0x7f7106db4c50>
2022-11-23T01:32:37.9346436Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9346500Z             }
2022-11-23T01:32:37.9346565Z             
2022-11-23T01:32:37.9346621Z  - 
2022-11-23T01:32:37.9346751Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9346814Z             {
2022-11-23T01:32:37.9346946Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9347115Z                 'code': ['___check_obj_id(model, 140126546981520)'],
2022-11-23T01:32:37.9347234Z                 'obj_weakref': None
2022-11-23T01:32:37.9347464Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9347514Z             }
2022-11-23T01:32:37.9347575Z             
2022-11-23T01:32:37.9347650Z  - 
2022-11-23T01:32:37.9347768Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9347833Z             {
2022-11-23T01:32:37.9347968Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9348173Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9348288Z                 'obj_weakref': None
2022-11-23T01:32:37.9348504Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9348566Z             }
2022-11-23T01:32:37.9348627Z             
2022-11-23T01:32:37.9348693Z  - 
2022-11-23T01:32:37.9348825Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.9348876Z             {
2022-11-23T01:32:37.9348996Z                 'guard_types': None,
2022-11-23T01:32:37.9349102Z                 'code': None,
2022-11-23T01:32:37.9349216Z                 'obj_weakref': None
2022-11-23T01:32:37.9349334Z                 'guarded_class': None
2022-11-23T01:32:37.9349397Z             }
2022-11-23T01:32:37.9349459Z             
2022-11-23T01:32:37.9349705Z [2022-11-23 01:26:16,111] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 339
2022-11-23T01:32:37.9350073Z [2022-11-23 01:26:18,655] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/am/camh43rjoimsibppydnb2i4jz36fhlyzqbv2b4mjol4dw6andmbk.py
2022-11-23T01:32:37.9350333Z [2022-11-23 01:26:18,655] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 339
2022-11-23T01:32:37.9350338Z 
2022-11-23T01:32:37.9350429Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9350500Z import torch
2022-11-23T01:32:37.9350567Z import random
2022-11-23T01:32:37.9350678Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9350825Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9350830Z 
2022-11-23T01:32:37.9350895Z aten = torch.ops.aten
2022-11-23T01:32:37.9351027Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9351117Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9351122Z 
2022-11-23T01:32:37.9351126Z 
2022-11-23T01:32:37.9351257Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9351503Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9351623Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:32:37.9351722Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:37.9351786Z {
2022-11-23T01:32:37.9351870Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9351930Z     {
2022-11-23T01:32:37.9352006Z         #pragma omp for 
2022-11-23T01:32:37.9352087Z         for(long i0=0; i0<200; i0+=1)
2022-11-23T01:32:37.9352151Z         {
2022-11-23T01:32:37.9352214Z             {
2022-11-23T01:32:37.9352276Z                 {
2022-11-23T01:32:37.9352355Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.9352464Z                     auto tmp1 = std::nearbyint(tmp0);
2022-11-23T01:32:37.9352548Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:32:37.9352613Z                 }
2022-11-23T01:32:37.9352677Z             }
2022-11-23T01:32:37.9352740Z         }
2022-11-23T01:32:37.9352803Z     }
2022-11-23T01:32:37.9352850Z }
2022-11-23T01:32:37.9352929Z ''')
2022-11-23T01:32:37.9352934Z 
2022-11-23T01:32:37.9352938Z 
2022-11-23T01:32:37.9353026Z async_compile.wait(globals())
2022-11-23T01:32:37.9353098Z del async_compile
2022-11-23T01:32:37.9353103Z 
2022-11-23T01:32:37.9353172Z def call(args):
2022-11-23T01:32:37.9353238Z     arg0_1, = args
2022-11-23T01:32:37.9353308Z     args.clear()
2022-11-23T01:32:37.9353490Z     buf0 = empty_strided((200, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T01:32:37.9353623Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.9353693Z     del arg0_1
2022-11-23T01:32:37.9353763Z     return (buf0, )
2022-11-23T01:32:37.9353768Z 
2022-11-23T01:32:37.9353772Z 
2022-11-23T01:32:37.9353846Z if __name__ == "__main__":
2022-11-23T01:32:37.9353955Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9354076Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9354271Z     arg0_1 = rand_strided((200, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T01:32:37.9354364Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.9354369Z 
2022-11-23T01:32:37.9354433Z ok (2.587s)
2022-11-23T01:32:37.9354735Z   test_round_cpu (__main__.CpuTests) ... [2022-11-23 01:26:18,667] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9355004Z [2022-11-23 01:26:18,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9355222Z [2022-11-23 01:26:18,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9355471Z [2022-11-23 01:26:18,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9355754Z [2022-11-23 01:26:18,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9356078Z [2022-11-23 01:26:18,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9356400Z [2022-11-23 01:26:18,668] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6477270, file "inductor/test_torchinductor.py", line 1012> 
2022-11-23T01:32:37.9356484Z  1013           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.9356575Z                2 LOAD_METHOD              1 (round)
2022-11-23T01:32:37.9356666Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9356787Z                6 CALL_METHOD              1
2022-11-23T01:32:37.9356881Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.9356972Z               10 LOAD_METHOD              1 (round)
2022-11-23T01:32:37.9357065Z               12 LOAD_FAST                1 (b)
2022-11-23T01:32:37.9357280Z               14 LOAD_CONST               1 (1)
2022-11-23T01:32:37.9357359Z               16 BINARY_ADD
2022-11-23T01:32:37.9357492Z               18 CALL_METHOD              1
2022-11-23T01:32:37.9357584Z               20 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.9357675Z               22 LOAD_ATTR                1 (round)
2022-11-23T01:32:37.9357764Z               24 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9357854Z               26 LOAD_CONST               2 (2)
2022-11-23T01:32:37.9358011Z               28 LOAD_CONST               3 (('decimals',))
2022-11-23T01:32:37.9358091Z               30 CALL_FUNCTION_KW         2
2022-11-23T01:32:37.9358183Z               32 BUILD_TUPLE              3
2022-11-23T01:32:37.9358261Z               34 RETURN_VALUE
2022-11-23T01:32:37.9358322Z  
2022-11-23T01:32:37.9358327Z 
2022-11-23T01:32:37.9358594Z [2022-11-23 01:26:18,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1013
2022-11-23T01:32:37.9358814Z [2022-11-23 01:26:18,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.9359184Z [2022-11-23 01:26:18,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.9359508Z [2022-11-23 01:26:18,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method round of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.9359848Z [2022-11-23 01:26:18,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method round of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9360097Z [2022-11-23 01:26:18,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.9360490Z [2022-11-23 01:26:18,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.9360839Z [2022-11-23 01:26:18,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.9361220Z [2022-11-23 01:26:18,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9361647Z [2022-11-23 01:26:18,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9362032Z [2022-11-23 01:26:18,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9362306Z [2022-11-23 01:26:18,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9362730Z [2022-11-23 01:26:18,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.9363109Z [2022-11-23 01:26:18,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.9363520Z [2022-11-23 01:26:18,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9364030Z [2022-11-23 01:26:18,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('decimals',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9364552Z [2022-11-23 01:26:18,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method round of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:37.9364853Z [2022-11-23 01:26:18,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9365098Z [2022-11-23 01:26:18,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9365416Z [2022-11-23 01:26:18,678] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6477270, file "inductor/test_torchinductor.py", line 1012>
2022-11-23T01:32:37.9365661Z [2022-11-23 01:26:18,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9365895Z [2022-11-23 01:26:18,678] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9366151Z [2022-11-23 01:26:18,680] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9366399Z [2022-11-23 01:26:18,689] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9366586Z [2022-11-23 01:26:18,689] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9366722Z  __compiled_fn_347 <eval_with_key>.2159 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9366811Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9366886Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.9367119Z call_function, round_1, <built-in method round of type object at 0x7f71f2abebc0>, (ex_0_,), {}
2022-11-23T01:32:37.9367292Z call_function, add, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:37.9367521Z call_function, round_2, <built-in method round of type object at 0x7f71f2abebc0>, (add,), {}
2022-11-23T01:32:37.9367772Z call_function, round_3, <built-in method round of type object at 0x7f71f2abebc0>, (ex_0_,), {'decimals': 2}
2022-11-23T01:32:37.9367890Z output, output, output, ((round_1, round_2, round_3),), {}
2022-11-23T01:32:37.9367896Z 
2022-11-23T01:32:37.9368172Z [2022-11-23 01:26:18,690] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9368266Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9368358Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9368437Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9368530Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9368605Z               8 RETURN_VALUE
2022-11-23T01:32:37.9368611Z 
2022-11-23T01:32:37.9368671Z  
2022-11-23T01:32:37.9368941Z [2022-11-23 01:26:18,690] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9369047Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_347)
2022-11-23T01:32:37.9369138Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9369214Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9369288Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9369375Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9369460Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9369534Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.9369621Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.9369724Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.9369842Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9369929Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9370002Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.9370102Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9370188Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9370261Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.9370393Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9370468Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:37.9370544Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.9370630Z              36 BUILD_TUPLE              3
2022-11-23T01:32:37.9370704Z              38 RETURN_VALUE
2022-11-23T01:32:37.9370710Z 
2022-11-23T01:32:37.9370771Z  
2022-11-23T01:32:37.9370953Z [2022-11-23 01:26:18,691] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9371020Z  - 
2022-11-23T01:32:37.9371139Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9371190Z             {
2022-11-23T01:32:37.9371328Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9371514Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.9371630Z                 'obj_weakref': None
2022-11-23T01:32:37.9371851Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9371917Z             }
2022-11-23T01:32:37.9371980Z             
2022-11-23T01:32:37.9372036Z  - 
2022-11-23T01:32:37.9372157Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9372219Z             {
2022-11-23T01:32:37.9372361Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9372465Z                 'code': None,
2022-11-23T01:32:37.9372673Z                 'obj_weakref': <weakref at 0x7f71070c5e30; to 'Tensor' at 0x7f71c0e1e650>
2022-11-23T01:32:37.9372923Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9372975Z             }
2022-11-23T01:32:37.9373037Z             
2022-11-23T01:32:37.9373104Z  - 
2022-11-23T01:32:37.9373225Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.9373290Z             {
2022-11-23T01:32:37.9373432Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9373537Z                 'code': None,
2022-11-23T01:32:37.9373731Z                 'obj_weakref': <weakref at 0x7f71067219b0; to 'Tensor' at 0x7f71070c57d0>
2022-11-23T01:32:37.9373973Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9374036Z             }
2022-11-23T01:32:37.9374098Z             
2022-11-23T01:32:37.9374164Z  - 
2022-11-23T01:32:37.9374294Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9374356Z             {
2022-11-23T01:32:37.9374478Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9374648Z                 'code': ['___check_obj_id(model, 140123423793808)'],
2022-11-23T01:32:37.9374765Z                 'obj_weakref': None
2022-11-23T01:32:37.9374996Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9375058Z             }
2022-11-23T01:32:37.9375120Z             
2022-11-23T01:32:37.9375188Z  - 
2022-11-23T01:32:37.9375297Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9375360Z             {
2022-11-23T01:32:37.9375495Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9375708Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9375825Z                 'obj_weakref': None
2022-11-23T01:32:37.9376041Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9376102Z             }
2022-11-23T01:32:37.9376151Z             
2022-11-23T01:32:37.9376250Z  - 
2022-11-23T01:32:37.9376384Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.9376446Z             {
2022-11-23T01:32:37.9376562Z                 'guard_types': None,
2022-11-23T01:32:37.9376670Z                 'code': None,
2022-11-23T01:32:37.9376773Z                 'obj_weakref': None
2022-11-23T01:32:37.9376890Z                 'guarded_class': None
2022-11-23T01:32:37.9376952Z             }
2022-11-23T01:32:37.9377013Z             
2022-11-23T01:32:37.9377301Z [2022-11-23 01:26:18,707] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 340
2022-11-23T01:32:37.9377672Z [2022-11-23 01:26:21,266] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qt/cqt3pkywagwnnstn63fblzsrgszgdgmbavwsod2k7ne2bmxh4ejn.py
2022-11-23T01:32:37.9377933Z [2022-11-23 01:26:21,267] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 340
2022-11-23T01:32:37.9377938Z 
2022-11-23T01:32:37.9378031Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9378091Z import torch
2022-11-23T01:32:37.9378157Z import random
2022-11-23T01:32:37.9378269Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9378389Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9378395Z 
2022-11-23T01:32:37.9378471Z aten = torch.ops.aten
2022-11-23T01:32:37.9378602Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9378693Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9378700Z 
2022-11-23T01:32:37.9378704Z 
2022-11-23T01:32:37.9378838Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9379029Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9379146Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9379248Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.9379348Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.9379444Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.9379538Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:37.9379599Z {
2022-11-23T01:32:37.9379694Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9379743Z     {
2022-11-23T01:32:37.9379819Z         #pragma omp for 
2022-11-23T01:32:37.9379900Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.9379963Z         {
2022-11-23T01:32:37.9380101Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.9380187Z             auto tmp1 = tmp0.round();
2022-11-23T01:32:37.9380323Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(100.0));
2022-11-23T01:32:37.9380395Z             auto tmp3 = tmp0 * tmp2;
2022-11-23T01:32:37.9380478Z             auto tmp4 = tmp3.round();
2022-11-23T01:32:37.9380610Z             auto tmp5 = at::vec::Vectorized<float>(static_cast<float>(0.01));
2022-11-23T01:32:37.9380692Z             auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:37.9380786Z             tmp1.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.9380878Z             tmp6.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.9380942Z         }
2022-11-23T01:32:37.9381025Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.9381104Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:37.9381166Z         {
2022-11-23T01:32:37.9381249Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.9381352Z             auto tmp1 = std::nearbyint(tmp0);
2022-11-23T01:32:37.9381453Z             auto tmp2 = static_cast<float>(100.0);
2022-11-23T01:32:37.9381535Z             auto tmp3 = tmp0 * tmp2;
2022-11-23T01:32:37.9381622Z             auto tmp4 = std::nearbyint(tmp3);
2022-11-23T01:32:37.9381723Z             auto tmp5 = static_cast<float>(0.01);
2022-11-23T01:32:37.9381806Z             auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:37.9381884Z             out_ptr0[i0] = tmp1;
2022-11-23T01:32:37.9381960Z             out_ptr1[i0] = tmp6;
2022-11-23T01:32:37.9382021Z         }
2022-11-23T01:32:37.9382128Z         #pragma omp for 
2022-11-23T01:32:37.9382196Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.9382257Z         {
2022-11-23T01:32:37.9382388Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:37.9382518Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.9382601Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.9382685Z             auto tmp3 = tmp2.round();
2022-11-23T01:32:37.9382803Z             tmp3.store(out_ptr2 + 16*i0);
2022-11-23T01:32:37.9382854Z         }
2022-11-23T01:32:37.9382947Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.9383027Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:37.9383088Z         {
2022-11-23T01:32:37.9383169Z             auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:37.9383266Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:37.9383346Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.9383432Z             auto tmp3 = std::nearbyint(tmp2);
2022-11-23T01:32:37.9383511Z             out_ptr2[i0] = tmp3;
2022-11-23T01:32:37.9383571Z         }
2022-11-23T01:32:37.9383633Z     }
2022-11-23T01:32:37.9383692Z }
2022-11-23T01:32:37.9383770Z ''')
2022-11-23T01:32:37.9383775Z 
2022-11-23T01:32:37.9383779Z 
2022-11-23T01:32:37.9383866Z async_compile.wait(globals())
2022-11-23T01:32:37.9383926Z del async_compile
2022-11-23T01:32:37.9383943Z 
2022-11-23T01:32:37.9384000Z def call(args):
2022-11-23T01:32:37.9384075Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.9384144Z     args.clear()
2022-11-23T01:32:37.9384337Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9384609Z     buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9384799Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9385014Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.9385071Z     del arg0_1
2022-11-23T01:32:37.9385137Z     del arg1_1
2022-11-23T01:32:37.9385220Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:37.9385224Z 
2022-11-23T01:32:37.9385229Z 
2022-11-23T01:32:37.9385306Z if __name__ == "__main__":
2022-11-23T01:32:37.9385421Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9385544Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9385742Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9385935Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9386037Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.9386042Z 
2022-11-23T01:32:37.9386108Z ok (2.614s)
2022-11-23T01:32:37.9386408Z   test_rsqrt_cpu (__main__.CpuTests) ... [2022-11-23 01:26:21,279] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9386681Z [2022-11-23 01:26:21,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9386899Z [2022-11-23 01:26:21,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9387152Z [2022-11-23 01:26:21,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9387438Z [2022-11-23 01:26:21,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9387761Z [2022-11-23 01:26:21,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9388087Z [2022-11-23 01:26:21,280] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f641e810, file "inductor/test_torchinductor.py", line 2638> 
2022-11-23T01:32:37.9388171Z  2639           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.9388301Z                2 LOAD_METHOD              1 (rsqrt)
2022-11-23T01:32:37.9388390Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.9388477Z                6 CALL_METHOD              1
2022-11-23T01:32:37.9388568Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.9388657Z               10 LOAD_METHOD              1 (rsqrt)
2022-11-23T01:32:37.9388745Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:37.9388851Z               14 LOAD_CONST               1 (1)
2022-11-23T01:32:37.9388924Z               16 BINARY_ADD
2022-11-23T01:32:37.9389011Z               18 CALL_METHOD              1
2022-11-23T01:32:37.9389097Z               20 LOAD_CONST               2 (2)
2022-11-23T01:32:37.9389178Z               22 BINARY_SUBTRACT
2022-11-23T01:32:37.9389266Z               24 BUILD_TUPLE              2
2022-11-23T01:32:37.9389341Z               26 RETURN_VALUE
2022-11-23T01:32:37.9389389Z  
2022-11-23T01:32:37.9389407Z 
2022-11-23T01:32:37.9389668Z [2022-11-23 01:26:21,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2639
2022-11-23T01:32:37.9389886Z [2022-11-23 01:26:21,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.9390250Z [2022-11-23 01:26:21,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rsqrt [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.9390571Z [2022-11-23 01:26:21,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method rsqrt of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.9390925Z [2022-11-23 01:26:21,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method rsqrt of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9391172Z [2022-11-23 01:26:21,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.9391568Z [2022-11-23 01:26:21,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rsqrt [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.9391916Z [2022-11-23 01:26:21,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method rsqrt of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.9392293Z [2022-11-23 01:26:21,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method rsqrt of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9392715Z [2022-11-23 01:26:21,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method rsqrt of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9393096Z [2022-11-23 01:26:21,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method rsqrt of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9393350Z [2022-11-23 01:26:21,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9393668Z [2022-11-23 01:26:21,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9393936Z [2022-11-23 01:26:21,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9394182Z [2022-11-23 01:26:21,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9394508Z [2022-11-23 01:26:21,291] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f641e810, file "inductor/test_torchinductor.py", line 2638>
2022-11-23T01:32:37.9394750Z [2022-11-23 01:26:21,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9395014Z [2022-11-23 01:26:21,291] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9395264Z [2022-11-23 01:26:21,293] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9395512Z [2022-11-23 01:26:21,302] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9395744Z [2022-11-23 01:26:21,302] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9395867Z  __compiled_fn_348 <eval_with_key>.2165 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9395956Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9396183Z call_function, rsqrt, <built-in method rsqrt of type object at 0x7f71f2abebc0>, (ex_0_,), {}
2022-11-23T01:32:37.9396355Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.9396576Z call_function, rsqrt_1, <built-in method rsqrt of type object at 0x7f71f2abebc0>, (add,), {}
2022-11-23T01:32:37.9396749Z call_function, sub, <built-in function sub>, (rsqrt_1, 2), {}
2022-11-23T01:32:37.9396851Z output, output, output, ((rsqrt, sub),), {}
2022-11-23T01:32:37.9396857Z 
2022-11-23T01:32:37.9397250Z [2022-11-23 01:26:21,303] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9397371Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9397473Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9397565Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9397655Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9397732Z               8 RETURN_VALUE
2022-11-23T01:32:37.9397738Z 
2022-11-23T01:32:37.9397800Z  
2022-11-23T01:32:37.9398078Z [2022-11-23 01:26:21,303] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9398187Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_348)
2022-11-23T01:32:37.9398265Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9398354Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9398431Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9398520Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.9398623Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.9398727Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9398820Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9398883Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.9398982Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9399067Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9399141Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.9399227Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.9399302Z              26 RETURN_VALUE
2022-11-23T01:32:37.9399307Z 
2022-11-23T01:32:37.9399372Z  
2022-11-23T01:32:37.9399541Z [2022-11-23 01:26:21,304] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9399611Z  - 
2022-11-23T01:32:37.9399730Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9399795Z             {
2022-11-23T01:32:37.9399935Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9400123Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.9400244Z                 'obj_weakref': None
2022-11-23T01:32:37.9400458Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9400524Z             }
2022-11-23T01:32:37.9400588Z             
2022-11-23T01:32:37.9400658Z  - 
2022-11-23T01:32:37.9400783Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9400848Z             {
2022-11-23T01:32:37.9400990Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9401083Z                 'code': None,
2022-11-23T01:32:37.9401294Z                 'obj_weakref': <weakref at 0x7f7106db4ef0; to 'Tensor' at 0x7f71071308f0>
2022-11-23T01:32:37.9401598Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9401663Z             }
2022-11-23T01:32:37.9401727Z             
2022-11-23T01:32:37.9401796Z  - 
2022-11-23T01:32:37.9401927Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9401977Z             {
2022-11-23T01:32:37.9402145Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9402318Z                 'code': ['___check_obj_id(model, 140123405982608)'],
2022-11-23T01:32:37.9402436Z                 'obj_weakref': None
2022-11-23T01:32:37.9402666Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9402732Z             }
2022-11-23T01:32:37.9402795Z             
2022-11-23T01:32:37.9402850Z  - 
2022-11-23T01:32:37.9402973Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9403040Z             {
2022-11-23T01:32:37.9403179Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9403395Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9403514Z                 'obj_weakref': None
2022-11-23T01:32:37.9403732Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9403782Z             }
2022-11-23T01:32:37.9403846Z             
2022-11-23T01:32:37.9403919Z  - 
2022-11-23T01:32:37.9404053Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.9404119Z             {
2022-11-23T01:32:37.9404239Z                 'guard_types': None,
2022-11-23T01:32:37.9404345Z                 'code': None,
2022-11-23T01:32:37.9404448Z                 'obj_weakref': None
2022-11-23T01:32:37.9404568Z                 'guarded_class': None
2022-11-23T01:32:37.9404631Z             }
2022-11-23T01:32:37.9404694Z             
2022-11-23T01:32:37.9404957Z [2022-11-23 01:26:21,319] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 341
2022-11-23T01:32:37.9405329Z [2022-11-23 01:26:23,878] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/65/c65avoorvbz2s3ygavba3plgncritzus6juclldc3qzjimh3644e.py
2022-11-23T01:32:37.9405591Z [2022-11-23 01:26:23,878] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 341
2022-11-23T01:32:37.9405597Z 
2022-11-23T01:32:37.9405694Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9405751Z import torch
2022-11-23T01:32:37.9405818Z import random
2022-11-23T01:32:37.9405931Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9406051Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9406056Z 
2022-11-23T01:32:37.9406134Z aten = torch.ops.aten
2022-11-23T01:32:37.9406266Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9406358Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9406366Z 
2022-11-23T01:32:37.9406370Z 
2022-11-23T01:32:37.9406501Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9406692Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9406809Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9406909Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.9407002Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.9407065Z {
2022-11-23T01:32:37.9407160Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9407220Z     {
2022-11-23T01:32:37.9407284Z         #pragma omp for 
2022-11-23T01:32:37.9407364Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.9407425Z         {
2022-11-23T01:32:37.9407561Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.9407645Z             auto tmp1 = tmp0.sqrt();
2022-11-23T01:32:37.9407741Z             auto tmp2 = tmp1.reciprocal();
2022-11-23T01:32:37.9407946Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.9408019Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:32:37.9408102Z             auto tmp5 = tmp4.sqrt();
2022-11-23T01:32:37.9408199Z             auto tmp6 = tmp5.reciprocal();
2022-11-23T01:32:37.9408327Z             auto tmp7 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:37.9408450Z             auto tmp8 = tmp6 - tmp7;
2022-11-23T01:32:37.9408569Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.9408661Z             tmp8.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.9408710Z         }
2022-11-23T01:32:37.9408805Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.9408888Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:37.9408954Z         {
2022-11-23T01:32:37.9409038Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.9409129Z             auto tmp1 = std::sqrt(tmp0);
2022-11-23T01:32:37.9409209Z             auto tmp2 = 1 / tmp1;
2022-11-23T01:32:37.9409296Z             auto tmp3 = static_cast<float>(1);
2022-11-23T01:32:37.9409379Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:32:37.9409469Z             auto tmp5 = std::sqrt(tmp4);
2022-11-23T01:32:37.9409549Z             auto tmp6 = 1 / tmp5;
2022-11-23T01:32:37.9409648Z             auto tmp7 = static_cast<float>(2);
2022-11-23T01:32:37.9409772Z             auto tmp8 = tmp6 - tmp7;
2022-11-23T01:32:37.9409850Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.9409917Z             out_ptr1[i0] = tmp8;
2022-11-23T01:32:37.9409979Z         }
2022-11-23T01:32:37.9410039Z     }
2022-11-23T01:32:37.9410098Z }
2022-11-23T01:32:37.9410174Z ''')
2022-11-23T01:32:37.9410179Z 
2022-11-23T01:32:37.9410184Z 
2022-11-23T01:32:37.9410271Z async_compile.wait(globals())
2022-11-23T01:32:37.9410341Z del async_compile
2022-11-23T01:32:37.9410346Z 
2022-11-23T01:32:37.9410414Z def call(args):
2022-11-23T01:32:37.9410471Z     arg0_1, = args
2022-11-23T01:32:37.9410541Z     args.clear()
2022-11-23T01:32:37.9410736Z     buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9410924Z     buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9411087Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.9411154Z     del arg0_1
2022-11-23T01:32:37.9411230Z     return (buf0, buf1, )
2022-11-23T01:32:37.9411236Z 
2022-11-23T01:32:37.9411240Z 
2022-11-23T01:32:37.9411304Z if __name__ == "__main__":
2022-11-23T01:32:37.9411416Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9411535Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9411728Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9411834Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.9411839Z 
2022-11-23T01:32:37.9411904Z ok (2.610s)
2022-11-23T01:32:37.9412212Z   test_scatter1_cpu (__main__.CpuTests) ... [2022-11-23 01:26:23,895] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9412481Z [2022-11-23 01:26:23,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9412685Z [2022-11-23 01:26:23,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9412938Z [2022-11-23 01:26:23,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9413225Z [2022-11-23 01:26:23,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9413545Z [2022-11-23 01:26:23,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9413869Z [2022-11-23 01:26:23,896] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f643d420, file "inductor/test_torchinductor.py", line 3669> 
2022-11-23T01:32:37.9413992Z  3670           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.9414088Z                2 LOAD_METHOD              1 (scatter)
2022-11-23T01:32:37.9414177Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9414267Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:32:37.9414346Z                8 LOAD_FAST                2 (index)
2022-11-23T01:32:37.9414457Z               10 LOAD_FAST                3 (b)
2022-11-23T01:32:37.9414546Z               12 CALL_METHOD              4
2022-11-23T01:32:37.9414620Z               14 RETURN_VALUE
2022-11-23T01:32:37.9414681Z  
2022-11-23T01:32:37.9414686Z 
2022-11-23T01:32:37.9414950Z [2022-11-23 01:26:23,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3670
2022-11-23T01:32:37.9415164Z [2022-11-23 01:26:23,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.9415474Z [2022-11-23 01:26:23,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.9415719Z [2022-11-23 01:26:23,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter)]
2022-11-23T01:32:37.9416004Z [2022-11-23 01:26:23,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter), TensorVariable()]
2022-11-23T01:32:37.9416328Z [2022-11-23 01:26:23,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9416673Z [2022-11-23 01:26:23,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.9417054Z [2022-11-23 01:26:23,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9417302Z [2022-11-23 01:26:23,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9417629Z [2022-11-23 01:26:23,912] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f643d420, file "inductor/test_torchinductor.py", line 3669>
2022-11-23T01:32:37.9417871Z [2022-11-23 01:26:23,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9418107Z [2022-11-23 01:26:23,912] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9418359Z [2022-11-23 01:26:23,914] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9418607Z [2022-11-23 01:26:23,922] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9418782Z [2022-11-23 01:26:23,922] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9418916Z  __compiled_fn_349 <eval_with_key>.2171 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9419004Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9419090Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.9419176Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:37.9419360Z call_function, scatter, aten.scatter, (ex_0_, -1, ex_2_, ex_3_), {}
2022-11-23T01:32:37.9419458Z output, output, output, ((scatter,),), {}
2022-11-23T01:32:37.9419464Z 
2022-11-23T01:32:37.9419727Z [2022-11-23 01:26:23,923] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9419819Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9419909Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9419999Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9420089Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9420164Z               8 RETURN_VALUE
2022-11-23T01:32:37.9420197Z 
2022-11-23T01:32:37.9420257Z  
2022-11-23T01:32:37.9420528Z [2022-11-23 01:26:23,923] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9420624Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_349)
2022-11-23T01:32:37.9420711Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9420799Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9420901Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9420991Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9421075Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:37.9421148Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.9421221Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9421305Z              16 LOAD_CONST               3 (3)
2022-11-23T01:32:37.9421378Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.9421464Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.9421555Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.9421629Z              24 RETURN_VALUE
2022-11-23T01:32:37.9421634Z 
2022-11-23T01:32:37.9421693Z  
2022-11-23T01:32:37.9421872Z [2022-11-23 01:26:23,925] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9421929Z  - 
2022-11-23T01:32:37.9422046Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9422108Z             {
2022-11-23T01:32:37.9422246Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9422433Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 4'],
2022-11-23T01:32:37.9422551Z                 'obj_weakref': None
2022-11-23T01:32:37.9422773Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9422824Z             }
2022-11-23T01:32:37.9422885Z             
2022-11-23T01:32:37.9422952Z  - 
2022-11-23T01:32:37.9423074Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9423137Z             {
2022-11-23T01:32:37.9423278Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9423371Z                 'code': None,
2022-11-23T01:32:37.9423579Z                 'obj_weakref': <weakref at 0x7f7106707d10; to 'Tensor' at 0x7f71c0dfa710>
2022-11-23T01:32:37.9423827Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9423889Z             }
2022-11-23T01:32:37.9423951Z             
2022-11-23T01:32:37.9424021Z  - 
2022-11-23T01:32:37.9424150Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:37.9424201Z             {
2022-11-23T01:32:37.9424339Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.9424613Z                 'code': ['___check_type_id(ex[1], 94279403915040)', 'ex[1] == -1'],
2022-11-23T01:32:37.9424736Z                 'obj_weakref': None
2022-11-23T01:32:37.9424952Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:37.9425018Z             }
2022-11-23T01:32:37.9425082Z             
2022-11-23T01:32:37.9425137Z  - 
2022-11-23T01:32:37.9425259Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.9425320Z             {
2022-11-23T01:32:37.9425460Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9425565Z                 'code': None,
2022-11-23T01:32:37.9425769Z                 'obj_weakref': <weakref at 0x7f7124168a70; to 'Tensor' at 0x7f7106d23c50>
2022-11-23T01:32:37.9426021Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9426084Z             }
2022-11-23T01:32:37.9426133Z             
2022-11-23T01:32:37.9426202Z  - 
2022-11-23T01:32:37.9426323Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:37.9426388Z             {
2022-11-23T01:32:37.9426526Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9426632Z                 'code': None,
2022-11-23T01:32:37.9426824Z                 'obj_weakref': <weakref at 0x7f71069c48f0; to 'Tensor' at 0x7f7106d23050>
2022-11-23T01:32:37.9427106Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9427172Z             }
2022-11-23T01:32:37.9427235Z             
2022-11-23T01:32:37.9427303Z  - 
2022-11-23T01:32:37.9427432Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9427493Z             {
2022-11-23T01:32:37.9427640Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9427807Z                 'code': ['___check_obj_id(model, 140123421743872)'],
2022-11-23T01:32:37.9427923Z                 'obj_weakref': None
2022-11-23T01:32:37.9428149Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9428211Z             }
2022-11-23T01:32:37.9428272Z             
2022-11-23T01:32:37.9428339Z  - 
2022-11-23T01:32:37.9428447Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9428510Z             {
2022-11-23T01:32:37.9428643Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9428856Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9428971Z                 'obj_weakref': None
2022-11-23T01:32:37.9429186Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9429248Z             }
2022-11-23T01:32:37.9429310Z             
2022-11-23T01:32:37.9429368Z  - 
2022-11-23T01:32:37.9429495Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.9429557Z             {
2022-11-23T01:32:37.9429674Z                 'guard_types': None,
2022-11-23T01:32:37.9429779Z                 'code': None,
2022-11-23T01:32:37.9429894Z                 'obj_weakref': None
2022-11-23T01:32:37.9430001Z                 'guarded_class': None
2022-11-23T01:32:37.9430062Z             }
2022-11-23T01:32:37.9430123Z             
2022-11-23T01:32:37.9430379Z [2022-11-23 01:26:23,937] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 342
2022-11-23T01:32:37.9430749Z [2022-11-23 01:26:26,479] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/u2/cu2zhkwutyettpsvbls2tr35gx3rmxaosnluy4s552ivc26hc2hj.py
2022-11-23T01:32:37.9431012Z [2022-11-23 01:26:26,479] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 342
2022-11-23T01:32:37.9431019Z 
2022-11-23T01:32:37.9431113Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9431183Z import torch
2022-11-23T01:32:37.9431239Z import random
2022-11-23T01:32:37.9431351Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9431470Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9431476Z 
2022-11-23T01:32:37.9431552Z aten = torch.ops.aten
2022-11-23T01:32:37.9431685Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9431773Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9431781Z 
2022-11-23T01:32:37.9431785Z 
2022-11-23T01:32:37.9431916Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9432121Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9432229Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9432331Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:37.9432434Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.9432534Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.9432596Z {
2022-11-23T01:32:37.9432692Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9432756Z     {
2022-11-23T01:32:37.9432820Z         #pragma omp for 
2022-11-23T01:32:37.9432900Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:37.9432963Z         {
2022-11-23T01:32:37.9433025Z             {
2022-11-23T01:32:37.9433089Z                 {
2022-11-23T01:32:37.9433179Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.9433297Z                     out_ptr0[i0] = tmp0;
2022-11-23T01:32:37.9433350Z                 }
2022-11-23T01:32:37.9433411Z             }
2022-11-23T01:32:37.9433472Z         }
2022-11-23T01:32:37.9433549Z         #pragma omp single
2022-11-23T01:32:37.9433610Z         {
2022-11-23T01:32:37.9433671Z             {
2022-11-23T01:32:37.9433722Z                 {
2022-11-23T01:32:37.9433811Z                     auto tmp0 = in_ptr1[0];
2022-11-23T01:32:37.9433927Z                     auto tmp1 = in_ptr2[0];
2022-11-23T01:32:37.9434016Z                     out_ptr0[tmp0] = tmp1;
2022-11-23T01:32:37.9434081Z                 }
2022-11-23T01:32:37.9434143Z             }
2022-11-23T01:32:37.9434205Z         }
2022-11-23T01:32:37.9434253Z     }
2022-11-23T01:32:37.9434312Z }
2022-11-23T01:32:37.9434389Z ''')
2022-11-23T01:32:37.9434395Z 
2022-11-23T01:32:37.9434399Z 
2022-11-23T01:32:37.9434490Z async_compile.wait(globals())
2022-11-23T01:32:37.9434561Z del async_compile
2022-11-23T01:32:37.9434568Z 
2022-11-23T01:32:37.9434637Z def call(args):
2022-11-23T01:32:37.9434716Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.9434775Z     args.clear()
2022-11-23T01:32:37.9434969Z     buf0 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9435157Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.9435226Z     del arg0_1
2022-11-23T01:32:37.9435295Z     del arg1_1
2022-11-23T01:32:37.9435362Z     del arg2_1
2022-11-23T01:32:37.9435435Z     return (buf0, )
2022-11-23T01:32:37.9435440Z 
2022-11-23T01:32:37.9435444Z 
2022-11-23T01:32:37.9435522Z if __name__ == "__main__":
2022-11-23T01:32:37.9435624Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9435748Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9435944Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9436138Z     arg1_1 = rand_strided((1, 1), (1, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.9436328Z     arg2_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9436453Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.9436458Z 
2022-11-23T01:32:37.9436524Z ok (2.600s)
2022-11-23T01:32:37.9436833Z   test_scatter2_cpu (__main__.CpuTests) ... [2022-11-23 01:26:26,499] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9437092Z [2022-11-23 01:26:26,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9437414Z [2022-11-23 01:26:26,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9437666Z [2022-11-23 01:26:26,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9437955Z [2022-11-23 01:26:26,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9438283Z [2022-11-23 01:26:26,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9438611Z [2022-11-23 01:26:26,500] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f643d540, file "inductor/test_torchinductor.py", line 3686> 
2022-11-23T01:32:37.9438709Z  3687           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.9438806Z                2 LOAD_ATTR                1 (scatter)
2022-11-23T01:32:37.9438900Z                4 LOAD_ATTR                2 (reduce)
2022-11-23T01:32:37.9438978Z                6 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9439072Z                8 LOAD_FAST                1 (dim)
2022-11-23T01:32:37.9439165Z               10 LOAD_FAST                2 (index)
2022-11-23T01:32:37.9439254Z               12 LOAD_FAST                3 (b)
2022-11-23T01:32:37.9439444Z               14 LOAD_CONST               1 ('add')
2022-11-23T01:32:37.9439594Z               16 LOAD_CONST               2 (('reduce',))
2022-11-23T01:32:37.9439687Z               18 CALL_FUNCTION_KW         5
2022-11-23T01:32:37.9439751Z               20 RETURN_VALUE
2022-11-23T01:32:37.9439814Z  
2022-11-23T01:32:37.9439820Z 
2022-11-23T01:32:37.9440090Z [2022-11-23 01:26:26,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3687
2022-11-23T01:32:37.9440356Z [2022-11-23 01:26:26,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.9440671Z [2022-11-23 01:26:26,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.9440933Z [2022-11-23 01:26:26,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reduce [TorchVariable(aten.scatter)]
2022-11-23T01:32:37.9441201Z [2022-11-23 01:26:26,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter.reduce)]
2022-11-23T01:32:37.9441505Z [2022-11-23 01:26:26,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter.reduce), TensorVariable()]
2022-11-23T01:32:37.9441846Z [2022-11-23 01:26:26,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9442211Z [2022-11-23 01:26:26,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.9442593Z [2022-11-23 01:26:26,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST add [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9443041Z [2022-11-23 01:26:26,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('reduce',) [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:37.9443529Z [2022-11-23 01:26:26,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.9443780Z [2022-11-23 01:26:26,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9444108Z [2022-11-23 01:26:26,521] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f643d540, file "inductor/test_torchinductor.py", line 3686>
2022-11-23T01:32:37.9444354Z [2022-11-23 01:26:26,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9444587Z [2022-11-23 01:26:26,521] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9444845Z [2022-11-23 01:26:26,524] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9445094Z [2022-11-23 01:26:26,532] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9445284Z [2022-11-23 01:26:26,533] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9445420Z  __compiled_fn_350 <eval_with_key>.2177 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9445499Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9445586Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.9445671Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:37.9445909Z call_function, scatter_reduce, aten.scatter.reduce, (ex_0_, 0, ex_2_, ex_3_), {'reduce': 'add'}
2022-11-23T01:32:37.9446020Z output, output, output, ((scatter_reduce,),), {}
2022-11-23T01:32:37.9446025Z 
2022-11-23T01:32:37.9446300Z [2022-11-23 01:26:26,534] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9446425Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9446515Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9446595Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9446685Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9451967Z               8 RETURN_VALUE
2022-11-23T01:32:37.9451977Z 
2022-11-23T01:32:37.9452047Z  
2022-11-23T01:32:37.9452422Z [2022-11-23 01:26:26,534] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9452534Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_350)
2022-11-23T01:32:37.9452629Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9452707Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9452785Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9452875Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9452964Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:37.9453043Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.9453129Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9453216Z              16 LOAD_CONST               3 (3)
2022-11-23T01:32:37.9453277Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.9453365Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.9453457Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.9453532Z              24 RETURN_VALUE
2022-11-23T01:32:37.9453541Z 
2022-11-23T01:32:37.9453601Z  
2022-11-23T01:32:37.9453787Z [2022-11-23 01:26:26,536] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9453858Z  - 
2022-11-23T01:32:37.9453979Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9454031Z             {
2022-11-23T01:32:37.9454172Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9454361Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 4'],
2022-11-23T01:32:37.9454477Z                 'obj_weakref': None
2022-11-23T01:32:37.9454707Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9454770Z             }
2022-11-23T01:32:37.9454833Z             
2022-11-23T01:32:37.9454889Z  - 
2022-11-23T01:32:37.9455015Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9455079Z             {
2022-11-23T01:32:37.9455221Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9455330Z                 'code': None,
2022-11-23T01:32:37.9455534Z                 'obj_weakref': <weakref at 0x7f7106949e90; to 'Tensor' at 0x7f7106ecdd70>
2022-11-23T01:32:37.9455785Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9455836Z             }
2022-11-23T01:32:37.9455897Z             
2022-11-23T01:32:37.9455964Z  - 
2022-11-23T01:32:37.9456093Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:37.9456156Z             {
2022-11-23T01:32:37.9456303Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.9456487Z                 'code': ['___check_type_id(ex[1], 94279403915040)', 'ex[1] == 0'],
2022-11-23T01:32:37.9456592Z                 'obj_weakref': None
2022-11-23T01:32:37.9456810Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:37.9456873Z             }
2022-11-23T01:32:37.9456935Z             
2022-11-23T01:32:37.9457002Z  - 
2022-11-23T01:32:37.9457126Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.9457177Z             {
2022-11-23T01:32:37.9457316Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9457420Z                 'code': None,
2022-11-23T01:32:37.9457624Z                 'obj_weakref': <weakref at 0x7f7106949470; to 'Tensor' at 0x7f71069f27d0>
2022-11-23T01:32:37.9457870Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9457969Z             }
2022-11-23T01:32:37.9458032Z             
2022-11-23T01:32:37.9458102Z  - 
2022-11-23T01:32:37.9458211Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:37.9458272Z             {
2022-11-23T01:32:37.9458412Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9458516Z                 'code': None,
2022-11-23T01:32:37.9458718Z                 'obj_weakref': <weakref at 0x7f7106949830; to 'Tensor' at 0x7f7107232950>
2022-11-23T01:32:37.9458991Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9459055Z             }
2022-11-23T01:32:37.9459105Z             
2022-11-23T01:32:37.9459173Z  - 
2022-11-23T01:32:37.9459300Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9459362Z             {
2022-11-23T01:32:37.9459494Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9459663Z                 'code': ['___check_obj_id(model, 140126547082704)'],
2022-11-23T01:32:37.9459782Z                 'obj_weakref': None
2022-11-23T01:32:37.9459996Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9460058Z             }
2022-11-23T01:32:37.9460125Z             
2022-11-23T01:32:37.9460194Z  - 
2022-11-23T01:32:37.9460315Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9460377Z             {
2022-11-23T01:32:37.9460499Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9460715Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9460831Z                 'obj_weakref': None
2022-11-23T01:32:37.9461048Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9461109Z             }
2022-11-23T01:32:37.9461170Z             
2022-11-23T01:32:37.9461236Z  - 
2022-11-23T01:32:37.9461367Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.9461416Z             {
2022-11-23T01:32:37.9461537Z                 'guard_types': None,
2022-11-23T01:32:37.9461642Z                 'code': None,
2022-11-23T01:32:37.9461756Z                 'obj_weakref': None
2022-11-23T01:32:37.9461874Z                 'guarded_class': None
2022-11-23T01:32:37.9461936Z             }
2022-11-23T01:32:37.9461985Z             
2022-11-23T01:32:37.9462244Z [2022-11-23 01:26:26,548] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 343
2022-11-23T01:32:37.9462615Z [2022-11-23 01:26:29,155] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uy/cuyepkfd2ttvecuqp7uh54fho7qqx6i4tkrbftosyb6ahk7iqo2c.py
2022-11-23T01:32:37.9462877Z [2022-11-23 01:26:29,156] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 343
2022-11-23T01:32:37.9462884Z 
2022-11-23T01:32:37.9462978Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9463047Z import torch
2022-11-23T01:32:37.9463115Z import random
2022-11-23T01:32:37.9463230Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9463337Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9463353Z 
2022-11-23T01:32:37.9463417Z aten = torch.ops.aten
2022-11-23T01:32:37.9463549Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9463641Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9463646Z 
2022-11-23T01:32:37.9463651Z 
2022-11-23T01:32:37.9463782Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9463987Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9464105Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9464210Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:37.9464301Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.9464397Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.9464555Z {
2022-11-23T01:32:37.9464694Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9464756Z     {
2022-11-23T01:32:37.9464834Z         #pragma omp for 
2022-11-23T01:32:37.9464918Z         for(long i0=0; i0<2048; i0+=1)
2022-11-23T01:32:37.9464967Z         {
2022-11-23T01:32:37.9465110Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.9465202Z             tmp0.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.9465265Z         }
2022-11-23T01:32:37.9465391Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.9465482Z         for(long i0=32768; i0<32768; i0+=1)
2022-11-23T01:32:37.9465545Z         {
2022-11-23T01:32:37.9465616Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.9465697Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:37.9465762Z         }
2022-11-23T01:32:37.9465838Z         #pragma omp for 
2022-11-23T01:32:37.9465917Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:37.9465978Z         {
2022-11-23T01:32:37.9466057Z             #pragma GCC ivdep
2022-11-23T01:32:37.9466132Z             for(long i1=0; i1<512; i1+=1)
2022-11-23T01:32:37.9466194Z             {
2022-11-23T01:32:37.9466257Z                 {
2022-11-23T01:32:37.9466322Z                     {
2022-11-23T01:32:37.9466424Z                         auto tmp0 = in_ptr1[i1 + (512*i0)];
2022-11-23T01:32:37.9466525Z                         auto tmp1 = in_ptr2[i1 + (512*i0)];
2022-11-23T01:32:37.9466638Z                         atomic_add(&out_ptr0[i1 + (512*tmp0)], tmp1);
2022-11-23T01:32:37.9466694Z                     }
2022-11-23T01:32:37.9466757Z                 }
2022-11-23T01:32:37.9466820Z             }
2022-11-23T01:32:37.9466880Z         }
2022-11-23T01:32:37.9466942Z     }
2022-11-23T01:32:37.9467000Z }
2022-11-23T01:32:37.9467068Z ''')
2022-11-23T01:32:37.9467084Z 
2022-11-23T01:32:37.9467089Z 
2022-11-23T01:32:37.9467165Z async_compile.wait(globals())
2022-11-23T01:32:37.9467235Z del async_compile
2022-11-23T01:32:37.9467240Z 
2022-11-23T01:32:37.9467311Z def call(args):
2022-11-23T01:32:37.9467394Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.9467463Z     args.clear()
2022-11-23T01:32:37.9467664Z     buf0 = empty_strided((64, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9467851Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.9467907Z     del arg0_1
2022-11-23T01:32:37.9467970Z     del arg1_1
2022-11-23T01:32:37.9468033Z     del arg2_1
2022-11-23T01:32:37.9468104Z     return (buf0, )
2022-11-23T01:32:37.9468109Z 
2022-11-23T01:32:37.9468114Z 
2022-11-23T01:32:37.9468188Z if __name__ == "__main__":
2022-11-23T01:32:37.9468305Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9468427Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9468630Z     arg0_1 = rand_strided((64, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9468816Z     arg1_1 = rand_strided((64, 512), (512, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.9469017Z     arg2_1 = rand_strided((64, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9469138Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.9469143Z 
2022-11-23T01:32:37.9469208Z ok (2.704s)
2022-11-23T01:32:37.9469515Z   test_scatter3_cpu (__main__.CpuTests) ... [2022-11-23 01:26:29,199] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9469785Z [2022-11-23 01:26:29,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9470002Z [2022-11-23 01:26:29,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9470256Z [2022-11-23 01:26:29,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9470542Z [2022-11-23 01:26:29,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9470882Z [2022-11-23 01:26:29,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9471211Z [2022-11-23 01:26:29,200] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f643d6f0, file "inductor/test_torchinductor.py", line 3700> 
2022-11-23T01:32:37.9471306Z  3701           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.9471428Z                2 LOAD_ATTR                1 (scatter)
2022-11-23T01:32:37.9471522Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9471611Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:32:37.9471700Z                8 LOAD_FAST                2 (index)
2022-11-23T01:32:37.9471788Z               10 LOAD_FAST                3 (b)
2022-11-23T01:32:37.9471914Z               12 LOAD_CONST               1 ('add')
2022-11-23T01:32:37.9472060Z               14 LOAD_CONST               2 (('reduce',))
2022-11-23T01:32:37.9472154Z               16 CALL_FUNCTION_KW         5
2022-11-23T01:32:37.9472230Z               18 RETURN_VALUE
2022-11-23T01:32:37.9472289Z  
2022-11-23T01:32:37.9472295Z 
2022-11-23T01:32:37.9472560Z [2022-11-23 01:26:29,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3701
2022-11-23T01:32:37.9472777Z [2022-11-23 01:26:29,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.9473087Z [2022-11-23 01:26:29,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.9473329Z [2022-11-23 01:26:29,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter)]
2022-11-23T01:32:37.9473616Z [2022-11-23 01:26:29,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter), TensorVariable()]
2022-11-23T01:32:37.9473938Z [2022-11-23 01:26:29,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9474287Z [2022-11-23 01:26:29,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.9474680Z [2022-11-23 01:26:29,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST add [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:37.9475127Z [2022-11-23 01:26:29,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('reduce',) [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(float), ConstantVariable(str)]
2022-11-23T01:32:37.9475606Z [2022-11-23 01:26:29,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(float), ConstantVariable(str), ConstantVariable(tuple)]
2022-11-23T01:32:37.9475855Z [2022-11-23 01:26:29,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9476183Z [2022-11-23 01:26:29,221] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f643d6f0, file "inductor/test_torchinductor.py", line 3700>
2022-11-23T01:32:37.9476430Z [2022-11-23 01:26:29,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9476665Z [2022-11-23 01:26:29,221] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9476919Z [2022-11-23 01:26:29,223] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9477292Z [2022-11-23 01:26:29,231] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9477544Z [2022-11-23 01:26:29,232] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9477744Z  __compiled_fn_351 <eval_with_key>.2183 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9477836Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9477923Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.9478127Z call_function, scatter, aten.scatter, (ex_0_, 2, ex_2_, 0.8), {'reduce': 'add'}
2022-11-23T01:32:37.9478230Z output, output, output, ((scatter,),), {}
2022-11-23T01:32:37.9478237Z 
2022-11-23T01:32:37.9478554Z [2022-11-23 01:26:29,232] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9478639Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9478731Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9478823Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9478913Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9478989Z               8 RETURN_VALUE
2022-11-23T01:32:37.9478994Z 
2022-11-23T01:32:37.9479059Z  
2022-11-23T01:32:37.9479332Z [2022-11-23 01:26:29,233] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9479426Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_351)
2022-11-23T01:32:37.9479513Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9479601Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9479677Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9479766Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9479851Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:37.9479925Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.9480013Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.9480091Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.9480167Z              18 RETURN_VALUE
2022-11-23T01:32:37.9480172Z 
2022-11-23T01:32:37.9480232Z  
2022-11-23T01:32:37.9480414Z [2022-11-23 01:26:29,235] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9480487Z  - 
2022-11-23T01:32:37.9480606Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9480671Z             {
2022-11-23T01:32:37.9480800Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9480987Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 4'],
2022-11-23T01:32:37.9481106Z                 'obj_weakref': None
2022-11-23T01:32:37.9481333Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9481399Z             }
2022-11-23T01:32:37.9481465Z             
2022-11-23T01:32:37.9481535Z  - 
2022-11-23T01:32:37.9481645Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9481709Z             {
2022-11-23T01:32:37.9481850Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9481957Z                 'code': None,
2022-11-23T01:32:37.9482164Z                 'obj_weakref': <weakref at 0x7f71c12836b0; to 'Tensor' at 0x7f710671a4d0>
2022-11-23T01:32:37.9482414Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9482479Z             }
2022-11-23T01:32:37.9482529Z             
2022-11-23T01:32:37.9482600Z  - 
2022-11-23T01:32:37.9482729Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:37.9482793Z             {
2022-11-23T01:32:37.9482935Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.9483123Z                 'code': ['___check_type_id(ex[1], 94279403915040)', 'ex[1] == 2'],
2022-11-23T01:32:37.9483243Z                 'obj_weakref': None
2022-11-23T01:32:37.9483449Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:37.9483514Z             }
2022-11-23T01:32:37.9483578Z             
2022-11-23T01:32:37.9483648Z  - 
2022-11-23T01:32:37.9483771Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.9483835Z             {
2022-11-23T01:32:37.9484007Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9484100Z                 'code': None,
2022-11-23T01:32:37.9484307Z                 'obj_weakref': <weakref at 0x7f71c1283a70; to 'Tensor' at 0x7f70f28d8d10>
2022-11-23T01:32:37.9484554Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9484619Z             }
2022-11-23T01:32:37.9484684Z             
2022-11-23T01:32:37.9484754Z  - 
2022-11-23T01:32:37.9484909Z             local 'ex[3]' CONSTANT_MATCH
2022-11-23T01:32:37.9484961Z             {
2022-11-23T01:32:37.9485103Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.9485288Z                 'code': ['___check_type_id(ex[3], 94279403921984)', 'ex[3] == 0.8'],
2022-11-23T01:32:37.9485406Z                 'obj_weakref': None
2022-11-23T01:32:37.9485624Z                 'guarded_class': <weakref at 0x7f71f6694290; to 'type' at 0x55bf22616240 (float)>
2022-11-23T01:32:37.9485686Z             }
2022-11-23T01:32:37.9485752Z             
2022-11-23T01:32:37.9485808Z  - 
2022-11-23T01:32:37.9485935Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9485996Z             {
2022-11-23T01:32:37.9486127Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9486296Z                 'code': ['___check_obj_id(model, 140123411731952)'],
2022-11-23T01:32:37.9486417Z                 'obj_weakref': None
2022-11-23T01:32:37.9486645Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9486696Z             }
2022-11-23T01:32:37.9486756Z             
2022-11-23T01:32:37.9486825Z  - 
2022-11-23T01:32:37.9486943Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9487005Z             {
2022-11-23T01:32:37.9487138Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9487350Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9487456Z                 'obj_weakref': None
2022-11-23T01:32:37.9487673Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9487734Z             }
2022-11-23T01:32:37.9487795Z             
2022-11-23T01:32:37.9487862Z  - 
2022-11-23T01:32:37.9487990Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.9488051Z             {
2022-11-23T01:32:37.9488156Z                 'guard_types': None,
2022-11-23T01:32:37.9488262Z                 'code': None,
2022-11-23T01:32:37.9488377Z                 'obj_weakref': None
2022-11-23T01:32:37.9488496Z                 'guarded_class': None
2022-11-23T01:32:37.9488557Z             }
2022-11-23T01:32:37.9488619Z             
2022-11-23T01:32:37.9488868Z [2022-11-23 01:26:29,246] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 344
2022-11-23T01:32:37.9489243Z [2022-11-23 01:26:31,832] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vi/cvivswagsgxjkpttmvg4vl7gobwgah4qmxf3vuil2pvvknljqkxe.py
2022-11-23T01:32:37.9489509Z [2022-11-23 01:26:31,832] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 344
2022-11-23T01:32:37.9489515Z 
2022-11-23T01:32:37.9489608Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9489676Z import torch
2022-11-23T01:32:37.9489748Z import random
2022-11-23T01:32:37.9489859Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9489983Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9489988Z 
2022-11-23T01:32:37.9490064Z aten = torch.ops.aten
2022-11-23T01:32:37.9490185Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9490275Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9490280Z 
2022-11-23T01:32:37.9490285Z 
2022-11-23T01:32:37.9490417Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9490620Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9490767Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9490870Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:37.9490972Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.9491021Z {
2022-11-23T01:32:37.9491116Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9491175Z     {
2022-11-23T01:32:37.9491253Z         #pragma omp for 
2022-11-23T01:32:37.9491336Z         for(long i0=0; i0<117; i0+=1)
2022-11-23T01:32:37.9491442Z         {
2022-11-23T01:32:37.9491580Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.9491660Z             tmp0.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.9491721Z         }
2022-11-23T01:32:37.9491813Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.9491900Z         for(long i0=1872; i0<1885; i0+=1)
2022-11-23T01:32:37.9491962Z         {
2022-11-23T01:32:37.9492046Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.9492127Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:37.9492176Z         }
2022-11-23T01:32:37.9492249Z         #pragma omp for 
2022-11-23T01:32:37.9492329Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.9492389Z         {
2022-11-23T01:32:37.9492454Z             {
2022-11-23T01:32:37.9492519Z                 {
2022-11-23T01:32:37.9492611Z                     auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:37.9492702Z                     auto tmp1 = static_cast<float>(0.8);
2022-11-23T01:32:37.9492807Z                     atomic_add(&out_ptr0[tmp0], tmp1);
2022-11-23T01:32:37.9492872Z                 }
2022-11-23T01:32:37.9492936Z             }
2022-11-23T01:32:37.9492998Z         }
2022-11-23T01:32:37.9493058Z     }
2022-11-23T01:32:37.9493107Z }
2022-11-23T01:32:37.9493183Z ''')
2022-11-23T01:32:37.9493188Z 
2022-11-23T01:32:37.9493193Z 
2022-11-23T01:32:37.9493279Z async_compile.wait(globals())
2022-11-23T01:32:37.9493350Z del async_compile
2022-11-23T01:32:37.9493355Z 
2022-11-23T01:32:37.9493424Z def call(args):
2022-11-23T01:32:37.9493500Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.9493569Z     args.clear()
2022-11-23T01:32:37.9493777Z     buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9493927Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.9493997Z     del arg0_1
2022-11-23T01:32:37.9494065Z     del arg1_1
2022-11-23T01:32:37.9494135Z     return (buf0, )
2022-11-23T01:32:37.9494142Z 
2022-11-23T01:32:37.9494146Z 
2022-11-23T01:32:37.9494221Z if __name__ == "__main__":
2022-11-23T01:32:37.9494336Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9494459Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9494668Z     arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9494854Z     arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.9494970Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.9494975Z 
2022-11-23T01:32:37.9495040Z ok (2.650s)
2022-11-23T01:32:37.9495350Z   test_scatter4_cpu (__main__.CpuTests) ... [2022-11-23 01:26:31,862] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9495619Z [2022-11-23 01:26:31,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9495839Z [2022-11-23 01:26:31,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9496086Z [2022-11-23 01:26:31,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9496368Z [2022-11-23 01:26:31,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9496688Z [2022-11-23 01:26:31,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9497035Z [2022-11-23 01:26:31,863] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f643d810, file "inductor/test_torchinductor.py", line 3719> 
2022-11-23T01:32:37.9497133Z  3720           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.9497228Z                2 LOAD_METHOD              1 (scatter)
2022-11-23T01:32:37.9497316Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.9497433Z                6 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9497525Z                8 LOAD_FAST                1 (ind)
2022-11-23T01:32:37.9497616Z               10 LOAD_FAST                2 (src)
2022-11-23T01:32:37.9497706Z               12 CALL_METHOD              4
2022-11-23T01:32:37.9497770Z               14 RETURN_VALUE
2022-11-23T01:32:37.9497827Z  
2022-11-23T01:32:37.9497832Z 
2022-11-23T01:32:37.9498099Z [2022-11-23 01:26:31,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3720
2022-11-23T01:32:37.9498317Z [2022-11-23 01:26:31,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.9498685Z [2022-11-23 01:26:31,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.9499008Z [2022-11-23 01:26:31,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method scatter of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.9499357Z [2022-11-23 01:26:31,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<built-in method scatter of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9499742Z [2022-11-23 01:26:31,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ind [TorchVariable(<built-in method scatter of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9500164Z [2022-11-23 01:26:31,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST src [TorchVariable(<built-in method scatter of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.9500613Z [2022-11-23 01:26:31,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(<built-in method scatter of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9500860Z [2022-11-23 01:26:31,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9501175Z [2022-11-23 01:26:31,868] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f643d810, file "inductor/test_torchinductor.py", line 3719>
2022-11-23T01:32:37.9501418Z [2022-11-23 01:26:31,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9501649Z [2022-11-23 01:26:31,868] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9501902Z [2022-11-23 01:26:31,870] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9502149Z [2022-11-23 01:26:31,880] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9502335Z [2022-11-23 01:26:31,881] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9502471Z  __compiled_fn_352 <eval_with_key>.2189 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9502560Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9502632Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.9502714Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.9502967Z call_function, scatter, <built-in method scatter of type object at 0x7f71f2abebc0>, (ex_0_, 0, ex_1_, ex_2_), {}
2022-11-23T01:32:37.9503066Z output, output, output, ((scatter,),), {}
2022-11-23T01:32:37.9503072Z 
2022-11-23T01:32:37.9503348Z [2022-11-23 01:26:31,881] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9503469Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9503559Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9503652Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9503729Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9503803Z               8 RETURN_VALUE
2022-11-23T01:32:37.9503847Z 
2022-11-23T01:32:37.9503907Z  
2022-11-23T01:32:37.9504176Z [2022-11-23 01:26:31,882] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9504282Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_352)
2022-11-23T01:32:37.9504372Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9504538Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9504616Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9504694Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9504781Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9504856Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.9504942Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9505026Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.9505101Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.9505194Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.9505274Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.9505349Z              24 RETURN_VALUE
2022-11-23T01:32:37.9505355Z 
2022-11-23T01:32:37.9505416Z  
2022-11-23T01:32:37.9505600Z [2022-11-23 01:26:31,884] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9505670Z  - 
2022-11-23T01:32:37.9505787Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9505852Z             {
2022-11-23T01:32:37.9505979Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9506167Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 3'],
2022-11-23T01:32:37.9506287Z                 'obj_weakref': None
2022-11-23T01:32:37.9506511Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9506574Z             }
2022-11-23T01:32:37.9506635Z             
2022-11-23T01:32:37.9506702Z  - 
2022-11-23T01:32:37.9506812Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9506873Z             {
2022-11-23T01:32:37.9507015Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9507122Z                 'code': None,
2022-11-23T01:32:37.9507329Z                 'obj_weakref': <weakref at 0x7f710679a530; to 'Tensor' at 0x7f71c0dfa350>
2022-11-23T01:32:37.9507575Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9507638Z             }
2022-11-23T01:32:37.9507688Z             
2022-11-23T01:32:37.9507756Z  - 
2022-11-23T01:32:37.9507881Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.9507943Z             {
2022-11-23T01:32:37.9508082Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9508186Z                 'code': None,
2022-11-23T01:32:37.9508387Z                 'obj_weakref': <weakref at 0x7f7106707170; to 'Tensor' at 0x7f71c12eb5f0>
2022-11-23T01:32:37.9508622Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9508686Z             }
2022-11-23T01:32:37.9508747Z             
2022-11-23T01:32:37.9508814Z  - 
2022-11-23T01:32:37.9508934Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.9508994Z             {
2022-11-23T01:32:37.9509135Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9509228Z                 'code': None,
2022-11-23T01:32:37.9509432Z                 'obj_weakref': <weakref at 0x7f712a383350; to 'Tensor' at 0x7f7106949fb0>
2022-11-23T01:32:37.9509677Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9509773Z             }
2022-11-23T01:32:37.9509835Z             
2022-11-23T01:32:37.9509903Z  - 
2022-11-23T01:32:37.9510032Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9510082Z             {
2022-11-23T01:32:37.9510214Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9510384Z                 'code': ['___check_obj_id(model, 140123082693376)'],
2022-11-23T01:32:37.9510562Z                 'obj_weakref': None
2022-11-23T01:32:37.9510793Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9510860Z             }
2022-11-23T01:32:37.9510921Z             
2022-11-23T01:32:37.9510976Z  - 
2022-11-23T01:32:37.9511094Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9511156Z             {
2022-11-23T01:32:37.9511291Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9511511Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9511631Z                 'obj_weakref': None
2022-11-23T01:32:37.9511848Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9511898Z             }
2022-11-23T01:32:37.9511961Z             
2022-11-23T01:32:37.9512030Z  - 
2022-11-23T01:32:37.9512165Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.9512231Z             {
2022-11-23T01:32:37.9512349Z                 'guard_types': None,
2022-11-23T01:32:37.9512453Z                 'code': None,
2022-11-23T01:32:37.9512557Z                 'obj_weakref': None
2022-11-23T01:32:37.9512677Z                 'guarded_class': None
2022-11-23T01:32:37.9512740Z             }
2022-11-23T01:32:37.9512802Z             
2022-11-23T01:32:37.9513062Z [2022-11-23 01:26:31,895] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 345
2022-11-23T01:32:37.9513423Z [2022-11-23 01:26:34,473] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ek/cekwfc3iv2y63m5bapks55i7v4rapj54zl6utjkdbdigulh5by7p.py
2022-11-23T01:32:37.9513685Z [2022-11-23 01:26:34,474] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 345
2022-11-23T01:32:37.9513691Z 
2022-11-23T01:32:37.9513783Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9513839Z import torch
2022-11-23T01:32:37.9513905Z import random
2022-11-23T01:32:37.9514021Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9514141Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9514146Z 
2022-11-23T01:32:37.9514222Z aten = torch.ops.aten
2022-11-23T01:32:37.9514354Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9514445Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9514450Z 
2022-11-23T01:32:37.9514454Z 
2022-11-23T01:32:37.9514586Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9514779Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9514895Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9514999Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:37.9515100Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.9515198Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.9515257Z {
2022-11-23T01:32:37.9515355Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9515404Z     {
2022-11-23T01:32:37.9515479Z         #pragma omp for 
2022-11-23T01:32:37.9515559Z         for(long i0=0; i0<12152; i0+=1)
2022-11-23T01:32:37.9515620Z         {
2022-11-23T01:32:37.9515755Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.9515847Z             tmp0.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.9515909Z         }
2022-11-23T01:32:37.9515990Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.9516112Z         for(long i0=194432; i0<194432; i0+=1)
2022-11-23T01:32:37.9516172Z         {
2022-11-23T01:32:37.9516255Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.9516334Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:37.9516395Z         }
2022-11-23T01:32:37.9516469Z         #pragma omp for 
2022-11-23T01:32:37.9516537Z         for(long i0=0; i0<992; i0+=1)
2022-11-23T01:32:37.9516596Z         {
2022-11-23T01:32:37.9516658Z             {
2022-11-23T01:32:37.9516750Z                 {
2022-11-23T01:32:37.9516844Z                     auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:37.9516935Z                     auto tmp1 = in_ptr2[i0];
2022-11-23T01:32:37.9517019Z                     out_ptr0[i0 + (992*tmp0)] = tmp1;
2022-11-23T01:32:37.9517086Z                 }
2022-11-23T01:32:37.9517265Z             }
2022-11-23T01:32:37.9517328Z         }
2022-11-23T01:32:37.9517391Z     }
2022-11-23T01:32:37.9517456Z }
2022-11-23T01:32:37.9517537Z ''')
2022-11-23T01:32:37.9517544Z 
2022-11-23T01:32:37.9517549Z 
2022-11-23T01:32:37.9517625Z async_compile.wait(globals())
2022-11-23T01:32:37.9517698Z del async_compile
2022-11-23T01:32:37.9517703Z 
2022-11-23T01:32:37.9517774Z def call(args):
2022-11-23T01:32:37.9517856Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.9517928Z     args.clear()
2022-11-23T01:32:37.9518132Z     buf0 = empty_strided((196, 992), (992, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9518324Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.9518393Z     del arg0_1
2022-11-23T01:32:37.9518448Z     del arg1_1
2022-11-23T01:32:37.9518513Z     del arg2_1
2022-11-23T01:32:37.9518585Z     return (buf0, )
2022-11-23T01:32:37.9518590Z 
2022-11-23T01:32:37.9518594Z 
2022-11-23T01:32:37.9518672Z if __name__ == "__main__":
2022-11-23T01:32:37.9518787Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9518910Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9519119Z     arg0_1 = rand_strided((196, 992), (992, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9519300Z     arg1_1 = rand_strided((1, 992), (992, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.9519503Z     arg2_1 = rand_strided((1, 992), (992, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9519624Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.9519629Z 
2022-11-23T01:32:37.9519699Z ok (2.687s)
2022-11-23T01:32:37.9519853Z   test_scatter_add1_cpu (__main__.CpuTests) ... skip: Flaky test, needs debugging (0.001s)
2022-11-23T01:32:37.9520166Z   test_scatter_add2_cpu (__main__.CpuTests) ... [2022-11-23 01:26:34,538] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9520439Z [2022-11-23 01:26:34,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9520659Z [2022-11-23 01:26:34,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9520914Z [2022-11-23 01:26:34,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9521185Z [2022-11-23 01:26:34,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9521510Z [2022-11-23 01:26:34,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9521842Z [2022-11-23 01:26:34,539] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f643da50, file "inductor/test_torchinductor.py", line 3743> 
2022-11-23T01:32:37.9521938Z  3744           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.9522041Z                2 LOAD_METHOD              1 (scatter_add)
2022-11-23T01:32:37.9522136Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9522277Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:32:37.9522388Z                8 LOAD_FAST                2 (index)
2022-11-23T01:32:37.9522464Z               10 LOAD_FAST                3 (b)
2022-11-23T01:32:37.9522553Z               12 CALL_METHOD              4
2022-11-23T01:32:37.9522631Z               14 RETURN_VALUE
2022-11-23T01:32:37.9522692Z  
2022-11-23T01:32:37.9522697Z 
2022-11-23T01:32:37.9523002Z [2022-11-23 01:26:34,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3744
2022-11-23T01:32:37.9523224Z [2022-11-23 01:26:34,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.9523540Z [2022-11-23 01:26:34,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.9523799Z [2022-11-23 01:26:34,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_add)]
2022-11-23T01:32:37.9524092Z [2022-11-23 01:26:34,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_add), TensorVariable()]
2022-11-23T01:32:37.9524413Z [2022-11-23 01:26:34,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9524768Z [2022-11-23 01:26:34,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.9525153Z [2022-11-23 01:26:34,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9525398Z [2022-11-23 01:26:34,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9525730Z [2022-11-23 01:26:34,559] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f643da50, file "inductor/test_torchinductor.py", line 3743>
2022-11-23T01:32:37.9525975Z [2022-11-23 01:26:34,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9526205Z [2022-11-23 01:26:34,559] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9526455Z [2022-11-23 01:26:34,561] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9526703Z [2022-11-23 01:26:34,570] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9526889Z [2022-11-23 01:26:34,571] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9527011Z  __compiled_fn_353 <eval_with_key>.2195 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9527097Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9527182Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.9527267Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:37.9527403Z call_function, scatter_add, aten.scatter_add, (ex_0_, 0, ex_2_, ex_3_), {}
2022-11-23T01:32:37.9527510Z output, output, output, ((scatter_add,),), {}
2022-11-23T01:32:37.9527515Z 
2022-11-23T01:32:37.9527789Z [2022-11-23 01:26:34,572] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9527886Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9527965Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9528058Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9528146Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9528221Z               8 RETURN_VALUE
2022-11-23T01:32:37.9528226Z 
2022-11-23T01:32:37.9528284Z  
2022-11-23T01:32:37.9528552Z [2022-11-23 01:26:34,572] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9528659Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_353)
2022-11-23T01:32:37.9528779Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9528855Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9528930Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9529016Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9529102Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:37.9529175Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.9529284Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9529368Z              16 LOAD_CONST               3 (3)
2022-11-23T01:32:37.9529429Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.9529516Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.9529610Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.9529683Z              24 RETURN_VALUE
2022-11-23T01:32:37.9529688Z 
2022-11-23T01:32:37.9529747Z  
2022-11-23T01:32:37.9529927Z [2022-11-23 01:26:34,574] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9529998Z  - 
2022-11-23T01:32:37.9530102Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9530164Z             {
2022-11-23T01:32:37.9530304Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9530490Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 4'],
2022-11-23T01:32:37.9530608Z                 'obj_weakref': None
2022-11-23T01:32:37.9530832Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9530897Z             }
2022-11-23T01:32:37.9530948Z             
2022-11-23T01:32:37.9531014Z  - 
2022-11-23T01:32:37.9531136Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9531199Z             {
2022-11-23T01:32:37.9531338Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9531441Z                 'code': None,
2022-11-23T01:32:37.9531647Z                 'obj_weakref': <weakref at 0x7f710699bf50; to 'Tensor' at 0x7f710699b8f0>
2022-11-23T01:32:37.9531884Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9531947Z             }
2022-11-23T01:32:37.9532009Z             
2022-11-23T01:32:37.9532077Z  - 
2022-11-23T01:32:37.9532202Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:37.9532266Z             {
2022-11-23T01:32:37.9532406Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.9532579Z                 'code': ['___check_type_id(ex[1], 94279403915040)', 'ex[1] == 0'],
2022-11-23T01:32:37.9532698Z                 'obj_weakref': None
2022-11-23T01:32:37.9532913Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:37.9532976Z             }
2022-11-23T01:32:37.9533039Z             
2022-11-23T01:32:37.9533108Z  - 
2022-11-23T01:32:37.9533230Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.9533280Z             {
2022-11-23T01:32:37.9533418Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9533525Z                 'code': None,
2022-11-23T01:32:37.9533731Z                 'obj_weakref': <weakref at 0x7f70f11f6e30; to 'Tensor' at 0x7f710699b5f0>
2022-11-23T01:32:37.9533976Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9534039Z             }
2022-11-23T01:32:37.9534101Z             
2022-11-23T01:32:37.9534156Z  - 
2022-11-23T01:32:37.9534279Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:37.9534341Z             {
2022-11-23T01:32:37.9534481Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9534586Z                 'code': None,
2022-11-23T01:32:37.9534793Z                 'obj_weakref': <weakref at 0x7f7106395d10; to 'Tensor' at 0x7f710699b710>
2022-11-23T01:32:37.9535039Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9535089Z             }
2022-11-23T01:32:37.9535179Z             
2022-11-23T01:32:37.9535248Z  - 
2022-11-23T01:32:37.9535380Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9535442Z             {
2022-11-23T01:32:37.9535574Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9535739Z                 'code': ['___check_obj_id(model, 140123413980656)'],
2022-11-23T01:32:37.9535845Z                 'obj_weakref': None
2022-11-23T01:32:37.9536113Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9536178Z             }
2022-11-23T01:32:37.9536240Z             
2022-11-23T01:32:37.9536309Z  - 
2022-11-23T01:32:37.9536428Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9536489Z             {
2022-11-23T01:32:37.9536610Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9536822Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9536939Z                 'obj_weakref': None
2022-11-23T01:32:37.9537157Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9537218Z             }
2022-11-23T01:32:37.9537280Z             
2022-11-23T01:32:37.9537348Z  - 
2022-11-23T01:32:37.9537466Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.9537526Z             {
2022-11-23T01:32:37.9537643Z                 'guard_types': None,
2022-11-23T01:32:37.9537751Z                 'code': None,
2022-11-23T01:32:37.9537867Z                 'obj_weakref': None
2022-11-23T01:32:37.9537986Z                 'guarded_class': None
2022-11-23T01:32:37.9538049Z             }
2022-11-23T01:32:37.9538098Z             
2022-11-23T01:32:37.9538357Z [2022-11-23 01:26:34,586] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 346
2022-11-23T01:32:37.9538727Z [2022-11-23 01:26:37,149] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bh/cbhzx4is3nt3mcxwg77yorsikzumalgzkhix3nmk5dypg4sw4qx7.py
2022-11-23T01:32:37.9538994Z [2022-11-23 01:26:37,150] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 346
2022-11-23T01:32:37.9539000Z 
2022-11-23T01:32:37.9539094Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9539165Z import torch
2022-11-23T01:32:37.9539234Z import random
2022-11-23T01:32:37.9539348Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9539456Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9539464Z 
2022-11-23T01:32:37.9539540Z aten = torch.ops.aten
2022-11-23T01:32:37.9539675Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9539765Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9539770Z 
2022-11-23T01:32:37.9539775Z 
2022-11-23T01:32:37.9539905Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9540108Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9540226Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9540331Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:37.9540422Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.9540518Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.9540577Z {
2022-11-23T01:32:37.9540674Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9540735Z     {
2022-11-23T01:32:37.9540811Z         #pragma omp for 
2022-11-23T01:32:37.9540893Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:37.9540944Z         {
2022-11-23T01:32:37.9541004Z             {
2022-11-23T01:32:37.9541066Z                 {
2022-11-23T01:32:37.9541157Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.9541244Z                     out_ptr0[i0] = tmp0;
2022-11-23T01:32:37.9541307Z                 }
2022-11-23T01:32:37.9541358Z             }
2022-11-23T01:32:37.9541418Z         }
2022-11-23T01:32:37.9541492Z         #pragma omp for 
2022-11-23T01:32:37.9541604Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:37.9541665Z         {
2022-11-23T01:32:37.9541745Z             #pragma GCC ivdep
2022-11-23T01:32:37.9541825Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:37.9541875Z             {
2022-11-23T01:32:37.9541937Z                 {
2022-11-23T01:32:37.9542003Z                     {
2022-11-23T01:32:37.9542102Z                         auto tmp0 = in_ptr1[i1 + (3*i0)];
2022-11-23T01:32:37.9542228Z                         auto tmp1 = in_ptr2[i1 + (3*i0)];
2022-11-23T01:32:37.9542340Z                         atomic_add(&out_ptr0[i1 + (3*tmp0)], tmp1);
2022-11-23T01:32:37.9542405Z                     }
2022-11-23T01:32:37.9542456Z                 }
2022-11-23T01:32:37.9542518Z             }
2022-11-23T01:32:37.9542579Z         }
2022-11-23T01:32:37.9542640Z     }
2022-11-23T01:32:37.9542701Z }
2022-11-23T01:32:37.9542777Z ''')
2022-11-23T01:32:37.9542782Z 
2022-11-23T01:32:37.9542787Z 
2022-11-23T01:32:37.9542878Z async_compile.wait(globals())
2022-11-23T01:32:37.9542938Z del async_compile
2022-11-23T01:32:37.9542944Z 
2022-11-23T01:32:37.9543012Z def call(args):
2022-11-23T01:32:37.9543092Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.9543162Z     args.clear()
2022-11-23T01:32:37.9543359Z     buf0 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9543547Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.9543616Z     del arg0_1
2022-11-23T01:32:37.9543670Z     del arg1_1
2022-11-23T01:32:37.9543733Z     del arg2_1
2022-11-23T01:32:37.9543803Z     return (buf0, )
2022-11-23T01:32:37.9543808Z 
2022-11-23T01:32:37.9543813Z 
2022-11-23T01:32:37.9543888Z if __name__ == "__main__":
2022-11-23T01:32:37.9544000Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9544121Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9544314Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9544595Z     arg1_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.9544777Z     arg2_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9544899Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.9544905Z 
2022-11-23T01:32:37.9544970Z ok (2.626s)
2022-11-23T01:32:37.9545287Z   test_scatter_add3_cpu (__main__.CpuTests) ... [2022-11-23 01:26:37,165] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9545557Z [2022-11-23 01:26:37,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9545778Z [2022-11-23 01:26:37,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9546030Z [2022-11-23 01:26:37,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9546316Z [2022-11-23 01:26:37,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9546636Z [2022-11-23 01:26:37,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9546952Z [2022-11-23 01:26:37,166] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f643db70, file "inductor/test_torchinductor.py", line 3757> 
2022-11-23T01:32:37.9547046Z  3758           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.9547147Z                2 LOAD_METHOD              1 (scatter_add)
2022-11-23T01:32:37.9547237Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9547327Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:32:37.9547416Z                8 LOAD_FAST                2 (index)
2022-11-23T01:32:37.9547504Z               10 LOAD_FAST                3 (b)
2022-11-23T01:32:37.9547628Z               12 CALL_METHOD              4
2022-11-23T01:32:37.9547692Z               14 RETURN_VALUE
2022-11-23T01:32:37.9547751Z  
2022-11-23T01:32:37.9547757Z 
2022-11-23T01:32:37.9548026Z [2022-11-23 01:26:37,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3758
2022-11-23T01:32:37.9548241Z [2022-11-23 01:26:37,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.9548578Z [2022-11-23 01:26:37,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.9548838Z [2022-11-23 01:26:37,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_add)]
2022-11-23T01:32:37.9549129Z [2022-11-23 01:26:37,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_add), TensorVariable()]
2022-11-23T01:32:37.9549459Z [2022-11-23 01:26:37,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9549816Z [2022-11-23 01:26:37,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.9550205Z [2022-11-23 01:26:37,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9550438Z [2022-11-23 01:26:37,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9550766Z [2022-11-23 01:26:37,185] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f643db70, file "inductor/test_torchinductor.py", line 3757>
2022-11-23T01:32:37.9551011Z [2022-11-23 01:26:37,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9551247Z [2022-11-23 01:26:37,185] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9551498Z [2022-11-23 01:26:37,187] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9551744Z [2022-11-23 01:26:37,196] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9551931Z [2022-11-23 01:26:37,197] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9552065Z  __compiled_fn_354 <eval_with_key>.2201 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9552154Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9552227Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.9552310Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:37.9552444Z call_function, scatter_add, aten.scatter_add, (ex_0_, 2, ex_2_, ex_3_), {}
2022-11-23T01:32:37.9552548Z output, output, output, ((scatter_add,),), {}
2022-11-23T01:32:37.9552553Z 
2022-11-23T01:32:37.9552828Z [2022-11-23 01:26:37,197] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9552920Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9553008Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9553090Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9553178Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9553253Z               8 RETURN_VALUE
2022-11-23T01:32:37.9553260Z 
2022-11-23T01:32:37.9553319Z  
2022-11-23T01:32:37.9553588Z [2022-11-23 01:26:37,198] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9553694Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_354)
2022-11-23T01:32:37.9553783Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9553870Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9553935Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9554051Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9554135Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:37.9554211Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.9554295Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9554377Z              16 LOAD_CONST               3 (3)
2022-11-23T01:32:37.9554466Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.9554541Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.9554658Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.9554734Z              24 RETURN_VALUE
2022-11-23T01:32:37.9554739Z 
2022-11-23T01:32:37.9554799Z  
2022-11-23T01:32:37.9554979Z [2022-11-23 01:26:37,200] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9555050Z  - 
2022-11-23T01:32:37.9555167Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9555218Z             {
2022-11-23T01:32:37.9555357Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9555542Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 4'],
2022-11-23T01:32:37.9555659Z                 'obj_weakref': None
2022-11-23T01:32:37.9555884Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9555951Z             }
2022-11-23T01:32:37.9556017Z             
2022-11-23T01:32:37.9556073Z  - 
2022-11-23T01:32:37.9556197Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9556262Z             {
2022-11-23T01:32:37.9556407Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9556517Z                 'code': None,
2022-11-23T01:32:37.9556728Z                 'obj_weakref': <weakref at 0x7f70f11fffb0; to 'Tensor' at 0x7f70f11f66b0>
2022-11-23T01:32:37.9556975Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9557026Z             }
2022-11-23T01:32:37.9557093Z             
2022-11-23T01:32:37.9557301Z  - 
2022-11-23T01:32:37.9557479Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:37.9557543Z             {
2022-11-23T01:32:37.9557689Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.9557875Z                 'code': ['___check_type_id(ex[1], 94279403915040)', 'ex[1] == 2'],
2022-11-23T01:32:37.9557981Z                 'obj_weakref': None
2022-11-23T01:32:37.9558201Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:37.9558269Z             }
2022-11-23T01:32:37.9558333Z             
2022-11-23T01:32:37.9558403Z  - 
2022-11-23T01:32:37.9558526Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.9558589Z             {
2022-11-23T01:32:37.9558717Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9558823Z                 'code': None,
2022-11-23T01:32:37.9559035Z                 'obj_weakref': <weakref at 0x7f71c0f2ddd0; to 'Tensor' at 0x7f71c12eb5f0>
2022-11-23T01:32:37.9559284Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9559352Z             }
2022-11-23T01:32:37.9559416Z             
2022-11-23T01:32:37.9559485Z  - 
2022-11-23T01:32:37.9559595Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:37.9559660Z             {
2022-11-23T01:32:37.9559802Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9559912Z                 'code': None,
2022-11-23T01:32:37.9560118Z                 'obj_weakref': <weakref at 0x7f70f2944110; to 'Tensor' at 0x7f7106707bf0>
2022-11-23T01:32:37.9560367Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9560430Z             }
2022-11-23T01:32:37.9560481Z             
2022-11-23T01:32:37.9560551Z  - 
2022-11-23T01:32:37.9560682Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9560746Z             {
2022-11-23T01:32:37.9560880Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9561110Z                 'code': ['___check_obj_id(model, 140123411715568)'],
2022-11-23T01:32:37.9561229Z                 'obj_weakref': None
2022-11-23T01:32:37.9561443Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9561507Z             }
2022-11-23T01:32:37.9561571Z             
2022-11-23T01:32:37.9561640Z  - 
2022-11-23T01:32:37.9561759Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9561857Z             {
2022-11-23T01:32:37.9561996Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9562198Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9562316Z                 'obj_weakref': None
2022-11-23T01:32:37.9562534Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9562597Z             }
2022-11-23T01:32:37.9562659Z             
2022-11-23T01:32:37.9562730Z  - 
2022-11-23T01:32:37.9562857Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.9562908Z             {
2022-11-23T01:32:37.9563024Z                 'guard_types': None,
2022-11-23T01:32:37.9563127Z                 'code': None,
2022-11-23T01:32:37.9563244Z                 'obj_weakref': None
2022-11-23T01:32:37.9563362Z                 'guarded_class': None
2022-11-23T01:32:37.9563424Z             }
2022-11-23T01:32:37.9563486Z             
2022-11-23T01:32:37.9563734Z [2022-11-23 01:26:37,212] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 347
2022-11-23T01:32:37.9564104Z [2022-11-23 01:26:39,817] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oo/coovrbzrsmdtdcuato454a44eycanwu7ohvqhtdhxkvpdkhoanxz.py
2022-11-23T01:32:37.9564368Z [2022-11-23 01:26:39,817] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 347
2022-11-23T01:32:37.9564373Z 
2022-11-23T01:32:37.9564465Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9564534Z import torch
2022-11-23T01:32:37.9564602Z import random
2022-11-23T01:32:37.9564716Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9564836Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9564841Z 
2022-11-23T01:32:37.9564905Z aten = torch.ops.aten
2022-11-23T01:32:37.9565038Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9565129Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9565137Z 
2022-11-23T01:32:37.9565141Z 
2022-11-23T01:32:37.9565272Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9565476Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9565595Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9565697Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:37.9565800Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.9565887Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.9565946Z {
2022-11-23T01:32:37.9566041Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9566101Z     {
2022-11-23T01:32:37.9566178Z         #pragma omp for 
2022-11-23T01:32:37.9566259Z         for(long i0=0; i0<117; i0+=1)
2022-11-23T01:32:37.9566322Z         {
2022-11-23T01:32:37.9566450Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.9566545Z             tmp0.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.9566607Z         }
2022-11-23T01:32:37.9566699Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.9566783Z         for(long i0=1872; i0<1885; i0+=1)
2022-11-23T01:32:37.9566843Z         {
2022-11-23T01:32:37.9566925Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.9566992Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:37.9567052Z         }
2022-11-23T01:32:37.9567126Z         #pragma omp for 
2022-11-23T01:32:37.9567206Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.9567297Z         {
2022-11-23T01:32:37.9567360Z             {
2022-11-23T01:32:37.9567412Z                 {
2022-11-23T01:32:37.9567501Z                     auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:37.9567590Z                     auto tmp1 = in_ptr2[i0];
2022-11-23T01:32:37.9567692Z                     atomic_add(&out_ptr0[tmp0], tmp1);
2022-11-23T01:32:37.9567756Z                 }
2022-11-23T01:32:37.9567818Z             }
2022-11-23T01:32:37.9567879Z         }
2022-11-23T01:32:37.9567959Z     }
2022-11-23T01:32:37.9568018Z }
2022-11-23T01:32:37.9568096Z ''')
2022-11-23T01:32:37.9568101Z 
2022-11-23T01:32:37.9568105Z 
2022-11-23T01:32:37.9568193Z async_compile.wait(globals())
2022-11-23T01:32:37.9568265Z del async_compile
2022-11-23T01:32:37.9568270Z 
2022-11-23T01:32:37.9568339Z def call(args):
2022-11-23T01:32:37.9568421Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.9568493Z     args.clear()
2022-11-23T01:32:37.9568690Z     buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9568881Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.9568950Z     del arg0_1
2022-11-23T01:32:37.9569014Z     del arg1_1
2022-11-23T01:32:37.9569077Z     del arg2_1
2022-11-23T01:32:37.9569147Z     return (buf0, )
2022-11-23T01:32:37.9569151Z 
2022-11-23T01:32:37.9569155Z 
2022-11-23T01:32:37.9569229Z if __name__ == "__main__":
2022-11-23T01:32:37.9569331Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9569452Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9569659Z     arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9569855Z     arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.9570057Z     arg2_1 = rand_strided((1, 1, 10), (10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9570180Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.9570185Z 
2022-11-23T01:32:37.9570251Z ok (2.670s)
2022-11-23T01:32:37.9570507Z   test_scatter_reduce1_cpu (__main__.CpuTests) ... [W TensorAdvancedIndexing.cpp:1681] Warning: scatter_reduce() is in beta and the API may change at any time. (function operator())
2022-11-23T01:32:37.9570749Z [2022-11-23 01:26:39,836] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9571010Z [2022-11-23 01:26:39,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9571225Z [2022-11-23 01:26:39,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9571473Z [2022-11-23 01:26:39,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9571756Z [2022-11-23 01:26:39,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9572078Z [2022-11-23 01:26:39,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9572405Z [2022-11-23 01:26:39,837] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f643dc90, file "inductor/test_torchinductor.py", line 3771> 
2022-11-23T01:32:37.9572499Z  3772           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.9572606Z                2 LOAD_METHOD              1 (scatter_reduce)
2022-11-23T01:32:37.9572695Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9572774Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:32:37.9572862Z                8 LOAD_FAST                2 (index)
2022-11-23T01:32:37.9572949Z               10 LOAD_FAST                3 (b)
2022-11-23T01:32:37.9573086Z               12 LOAD_CONST               1 ('sum')
2022-11-23T01:32:37.9573173Z               14 CALL_METHOD              5
2022-11-23T01:32:37.9573276Z               16 RETURN_VALUE
2022-11-23T01:32:37.9573335Z  
2022-11-23T01:32:37.9573340Z 
2022-11-23T01:32:37.9573594Z [2022-11-23 01:26:39,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3772
2022-11-23T01:32:37.9573809Z [2022-11-23 01:26:39,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.9574156Z [2022-11-23 01:26:39,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_reduce [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.9574421Z [2022-11-23 01:26:39,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_reduce)]
2022-11-23T01:32:37.9574714Z [2022-11-23 01:26:39,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_reduce), TensorVariable()]
2022-11-23T01:32:37.9575051Z [2022-11-23 01:26:39,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9575406Z [2022-11-23 01:26:39,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.9575796Z [2022-11-23 01:26:39,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST sum [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9576226Z [2022-11-23 01:26:39,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:37.9576471Z [2022-11-23 01:26:39,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9576799Z [2022-11-23 01:26:39,856] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f643dc90, file "inductor/test_torchinductor.py", line 3771>
2022-11-23T01:32:37.9577034Z [2022-11-23 01:26:39,857] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9577268Z [2022-11-23 01:26:39,857] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9577517Z [2022-11-23 01:26:39,859] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9577767Z [2022-11-23 01:26:39,868] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9577951Z [2022-11-23 01:26:39,868] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9578083Z  __compiled_fn_355 <eval_with_key>.2207 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9578170Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9578255Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.9578326Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:37.9578539Z call_function, scatter_reduce, aten.scatter_reduce, (ex_0_, 2, ex_2_, ex_3_, 'sum'), {}
2022-11-23T01:32:37.9578648Z output, output, output, ((scatter_reduce,),), {}
2022-11-23T01:32:37.9578653Z 
2022-11-23T01:32:37.9578927Z [2022-11-23 01:26:39,869] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9579020Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9579111Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9579202Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9579290Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9579353Z               8 RETURN_VALUE
2022-11-23T01:32:37.9579370Z 
2022-11-23T01:32:37.9579416Z  
2022-11-23T01:32:37.9579687Z [2022-11-23 01:26:39,869] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9579795Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_355)
2022-11-23T01:32:37.9579916Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9580004Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9580079Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9580165Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9580239Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:37.9580312Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.9580442Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9580528Z              16 LOAD_CONST               3 (3)
2022-11-23T01:32:37.9580601Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.9580688Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.9580779Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.9580841Z              24 RETURN_VALUE
2022-11-23T01:32:37.9580846Z 
2022-11-23T01:32:37.9580904Z  
2022-11-23T01:32:37.9581084Z [2022-11-23 01:26:39,871] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9581154Z  - 
2022-11-23T01:32:37.9581271Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9581335Z             {
2022-11-23T01:32:37.9581474Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9581646Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 4'],
2022-11-23T01:32:37.9581765Z                 'obj_weakref': None
2022-11-23T01:32:37.9581989Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9582056Z             }
2022-11-23T01:32:37.9582120Z             
2022-11-23T01:32:37.9582189Z  - 
2022-11-23T01:32:37.9582312Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9582362Z             {
2022-11-23T01:32:37.9582501Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9582605Z                 'code': None,
2022-11-23T01:32:37.9582812Z                 'obj_weakref': <weakref at 0x7f71c25db4d0; to 'Tensor' at 0x7f7106707bf0>
2022-11-23T01:32:37.9583061Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9583128Z             }
2022-11-23T01:32:37.9583189Z             
2022-11-23T01:32:37.9583244Z  - 
2022-11-23T01:32:37.9583371Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:37.9583431Z             {
2022-11-23T01:32:37.9583570Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.9583759Z                 'code': ['___check_type_id(ex[1], 94279403915040)', 'ex[1] == 2'],
2022-11-23T01:32:37.9583875Z                 'obj_weakref': None
2022-11-23T01:32:37.9584092Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:37.9584142Z             }
2022-11-23T01:32:37.9584203Z             
2022-11-23T01:32:37.9584272Z  - 
2022-11-23T01:32:37.9584393Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.9584560Z             {
2022-11-23T01:32:37.9584705Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9584812Z                 'code': None,
2022-11-23T01:32:37.9585007Z                 'obj_weakref': <weakref at 0x7f7106a372f0; to 'Tensor' at 0x7f7106763f50>
2022-11-23T01:32:37.9585250Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9585314Z             }
2022-11-23T01:32:37.9585377Z             
2022-11-23T01:32:37.9585445Z  - 
2022-11-23T01:32:37.9585568Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:37.9585632Z             {
2022-11-23T01:32:37.9585758Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9585863Z                 'code': None,
2022-11-23T01:32:37.9586063Z                 'obj_weakref': <weakref at 0x7f7106787650; to 'Tensor' at 0x7f7106763dd0>
2022-11-23T01:32:37.9586306Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9586371Z             }
2022-11-23T01:32:37.9586470Z             
2022-11-23T01:32:37.9586537Z  - 
2022-11-23T01:32:37.9586655Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9586715Z             {
2022-11-23T01:32:37.9586848Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9587016Z                 'code': ['___check_obj_id(model, 140123423159648)'],
2022-11-23T01:32:37.9587131Z                 'obj_weakref': None
2022-11-23T01:32:37.9587383Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9587447Z             }
2022-11-23T01:32:37.9587496Z             
2022-11-23T01:32:37.9587563Z  - 
2022-11-23T01:32:37.9587688Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9587751Z             {
2022-11-23T01:32:37.9587885Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9588104Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9588224Z                 'obj_weakref': None
2022-11-23T01:32:37.9588428Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9588491Z             }
2022-11-23T01:32:37.9588553Z             
2022-11-23T01:32:37.9588622Z  - 
2022-11-23T01:32:37.9588751Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.9588812Z             {
2022-11-23T01:32:37.9588929Z                 'guard_types': None,
2022-11-23T01:32:37.9589024Z                 'code': None,
2022-11-23T01:32:37.9589139Z                 'obj_weakref': None
2022-11-23T01:32:37.9589257Z                 'guarded_class': None
2022-11-23T01:32:37.9589318Z             }
2022-11-23T01:32:37.9589379Z             
2022-11-23T01:32:37.9589637Z [2022-11-23 01:26:39,883] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 348
2022-11-23T01:32:37.9590005Z [2022-11-23 01:26:39,904] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oo/coovrbzrsmdtdcuato454a44eycanwu7ohvqhtdhxkvpdkhoanxz.py
2022-11-23T01:32:37.9590258Z [2022-11-23 01:26:39,904] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 348
2022-11-23T01:32:37.9590275Z 
2022-11-23T01:32:37.9590355Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9590421Z import torch
2022-11-23T01:32:37.9590489Z import random
2022-11-23T01:32:37.9590602Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9590723Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9590729Z 
2022-11-23T01:32:37.9590806Z aten = torch.ops.aten
2022-11-23T01:32:37.9590936Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9591016Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9591021Z 
2022-11-23T01:32:37.9591036Z 
2022-11-23T01:32:37.9591155Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9591356Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9591475Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9591578Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:37.9591681Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.9591779Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.9591839Z {
2022-11-23T01:32:37.9591923Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9591982Z     {
2022-11-23T01:32:37.9592060Z         #pragma omp for 
2022-11-23T01:32:37.9592142Z         for(long i0=0; i0<117; i0+=1)
2022-11-23T01:32:37.9592205Z         {
2022-11-23T01:32:37.9592343Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.9592434Z             tmp0.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.9592484Z         }
2022-11-23T01:32:37.9592577Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.9592662Z         for(long i0=1872; i0<1885; i0+=1)
2022-11-23T01:32:37.9592723Z         {
2022-11-23T01:32:37.9592837Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.9592920Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:37.9592983Z         }
2022-11-23T01:32:37.9593046Z         #pragma omp for 
2022-11-23T01:32:37.9593129Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.9593192Z         {
2022-11-23T01:32:37.9593257Z             {
2022-11-23T01:32:37.9593322Z                 {
2022-11-23T01:32:37.9593416Z                     auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:37.9593522Z                     auto tmp1 = in_ptr2[i0];
2022-11-23T01:32:37.9593628Z                     atomic_add(&out_ptr0[tmp0], tmp1);
2022-11-23T01:32:37.9593691Z                 }
2022-11-23T01:32:37.9593756Z             }
2022-11-23T01:32:37.9593820Z         }
2022-11-23T01:32:37.9593884Z     }
2022-11-23T01:32:37.9593945Z }
2022-11-23T01:32:37.9594010Z ''')
2022-11-23T01:32:37.9594015Z 
2022-11-23T01:32:37.9594019Z 
2022-11-23T01:32:37.9594111Z async_compile.wait(globals())
2022-11-23T01:32:37.9594183Z del async_compile
2022-11-23T01:32:37.9594190Z 
2022-11-23T01:32:37.9594262Z def call(args):
2022-11-23T01:32:37.9594344Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.9594417Z     args.clear()
2022-11-23T01:32:37.9594626Z     buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9594817Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.9594875Z     del arg0_1
2022-11-23T01:32:37.9594943Z     del arg1_1
2022-11-23T01:32:37.9595010Z     del arg2_1
2022-11-23T01:32:37.9595083Z     return (buf0, )
2022-11-23T01:32:37.9595087Z 
2022-11-23T01:32:37.9595092Z 
2022-11-23T01:32:37.9595170Z if __name__ == "__main__":
2022-11-23T01:32:37.9595284Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9595407Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9595602Z     arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9595809Z     arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.9596015Z     arg2_1 = rand_strided((1, 1, 10), (10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9596136Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.9596141Z 
2022-11-23T01:32:37.9596209Z ok (0.084s)
2022-11-23T01:32:37.9596531Z   test_scatter_reduce2_cpu (__main__.CpuTests) ... [2022-11-23 01:26:39,916] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9596804Z [2022-11-23 01:26:39,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9597024Z [2022-11-23 01:26:39,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9597400Z [2022-11-23 01:26:39,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9597676Z [2022-11-23 01:26:39,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9598000Z [2022-11-23 01:26:39,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9598334Z [2022-11-23 01:26:39,917] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f643ddb0, file "inductor/test_torchinductor.py", line 3785> 
2022-11-23T01:32:37.9598431Z  3786           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.9598536Z                2 LOAD_ATTR                1 (scatter_reduce)
2022-11-23T01:32:37.9598628Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9598720Z                6 LOAD_FAST                1 (dim)
2022-11-23T01:32:37.9598812Z                8 LOAD_FAST                2 (index)
2022-11-23T01:32:37.9598886Z               10 LOAD_FAST                3 (b)
2022-11-23T01:32:37.9599075Z               12 LOAD_CONST               1 ('sum')
2022-11-23T01:32:37.9599165Z               14 LOAD_CONST               2 (False)
2022-11-23T01:32:37.9599325Z               16 LOAD_CONST               3 (('include_self',))
2022-11-23T01:32:37.9599416Z               18 CALL_FUNCTION_KW         6
2022-11-23T01:32:37.9599494Z               20 RETURN_VALUE
2022-11-23T01:32:37.9599556Z  
2022-11-23T01:32:37.9599562Z 
2022-11-23T01:32:37.9599868Z [2022-11-23 01:26:39,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3786
2022-11-23T01:32:37.9600077Z [2022-11-23 01:26:39,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.9600398Z [2022-11-23 01:26:39,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_reduce [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.9600661Z [2022-11-23 01:26:39,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_reduce)]
2022-11-23T01:32:37.9600962Z [2022-11-23 01:26:39,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_reduce), TensorVariable()]
2022-11-23T01:32:37.9601299Z [2022-11-23 01:26:39,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9601657Z [2022-11-23 01:26:39,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:37.9602049Z [2022-11-23 01:26:39,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST sum [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9602480Z [2022-11-23 01:26:39,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str)]
2022-11-23T01:32:37.9602974Z [2022-11-23 01:26:39,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('include_self',) [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(bool)]
2022-11-23T01:32:37.9603493Z [2022-11-23 01:26:39,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:37.9603739Z [2022-11-23 01:26:39,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9604069Z [2022-11-23 01:26:39,935] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f643ddb0, file "inductor/test_torchinductor.py", line 3785>
2022-11-23T01:32:37.9604312Z [2022-11-23 01:26:39,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9604536Z [2022-11-23 01:26:39,935] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9604788Z [2022-11-23 01:26:39,937] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9605037Z [2022-11-23 01:26:39,946] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9605226Z [2022-11-23 01:26:39,946] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9605359Z  __compiled_fn_356 <eval_with_key>.2213 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9605447Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9605533Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.9605616Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:37.9605854Z call_function, scatter_reduce, aten.scatter_reduce, (ex_0_, 0, ex_2_, ex_3_, 'sum'), {'include_self': False}
2022-11-23T01:32:37.9605997Z output, output, output, ((scatter_reduce,),), {}
2022-11-23T01:32:37.9606003Z 
2022-11-23T01:32:37.9606280Z [2022-11-23 01:26:39,947] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9606372Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9606463Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9606553Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9606678Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9606754Z               8 RETURN_VALUE
2022-11-23T01:32:37.9606760Z 
2022-11-23T01:32:37.9606808Z  
2022-11-23T01:32:37.9607078Z [2022-11-23 01:26:39,947] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9607183Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_356)
2022-11-23T01:32:37.9607273Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9607362Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9607438Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9607524Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9607598Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:37.9607671Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.9607756Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9607839Z              16 LOAD_CONST               3 (3)
2022-11-23T01:32:37.9607915Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.9608004Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.9608094Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.9608156Z              24 RETURN_VALUE
2022-11-23T01:32:37.9608161Z 
2022-11-23T01:32:37.9608220Z  
2022-11-23T01:32:37.9608400Z [2022-11-23 01:26:39,949] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9608467Z  - 
2022-11-23T01:32:37.9608583Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9608649Z             {
2022-11-23T01:32:37.9608787Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9608960Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 4'],
2022-11-23T01:32:37.9609077Z                 'obj_weakref': None
2022-11-23T01:32:37.9609298Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9609361Z             }
2022-11-23T01:32:37.9609425Z             
2022-11-23T01:32:37.9609495Z  - 
2022-11-23T01:32:37.9609617Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9609667Z             {
2022-11-23T01:32:37.9609805Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9609909Z                 'code': None,
2022-11-23T01:32:37.9610115Z                 'obj_weakref': <weakref at 0x7f71067755f0; to 'Tensor' at 0x7f70f2d72e30>
2022-11-23T01:32:37.9610361Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9610425Z             }
2022-11-23T01:32:37.9610488Z             
2022-11-23T01:32:37.9610543Z  - 
2022-11-23T01:32:37.9610669Z             local 'ex[1]' CONSTANT_MATCH
2022-11-23T01:32:37.9610730Z             {
2022-11-23T01:32:37.9610870Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:37.9611054Z                 'code': ['___check_type_id(ex[1], 94279403915040)', 'ex[1] == 0'],
2022-11-23T01:32:37.9611169Z                 'obj_weakref': None
2022-11-23T01:32:37.9611387Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:37.9611439Z             }
2022-11-23T01:32:37.9611499Z             
2022-11-23T01:32:37.9611566Z  - 
2022-11-23T01:32:37.9611688Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.9611748Z             {
2022-11-23T01:32:37.9611887Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9611993Z                 'code': None,
2022-11-23T01:32:37.9612244Z                 'obj_weakref': <weakref at 0x7f7106775590; to 'Tensor' at 0x7f70f2d728f0>
2022-11-23T01:32:37.9612489Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9612551Z             }
2022-11-23T01:32:37.9612612Z             
2022-11-23T01:32:37.9612679Z  - 
2022-11-23T01:32:37.9612798Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:37.9612859Z             {
2022-11-23T01:32:37.9613016Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9613123Z                 'code': None,
2022-11-23T01:32:37.9613328Z                 'obj_weakref': <weakref at 0x7f7106792c50; to 'Tensor' at 0x7f70f2d72110>
2022-11-23T01:32:37.9613574Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9613637Z             }
2022-11-23T01:32:37.9613700Z             
2022-11-23T01:32:37.9613771Z  - 
2022-11-23T01:32:37.9613889Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9613954Z             {
2022-11-23T01:32:37.9614086Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9614254Z                 'code': ['___check_obj_id(model, 140126546983536)'],
2022-11-23T01:32:37.9614372Z                 'obj_weakref': None
2022-11-23T01:32:37.9614597Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9614665Z             }
2022-11-23T01:32:37.9614717Z             
2022-11-23T01:32:37.9614786Z  - 
2022-11-23T01:32:37.9614909Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9614970Z             {
2022-11-23T01:32:37.9615102Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9615315Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9615430Z                 'obj_weakref': None
2022-11-23T01:32:37.9615634Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9615699Z             }
2022-11-23T01:32:37.9615760Z             
2022-11-23T01:32:37.9615827Z  - 
2022-11-23T01:32:37.9615954Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.9616016Z             {
2022-11-23T01:32:37.9616132Z                 'guard_types': None,
2022-11-23T01:32:37.9616225Z                 'code': None,
2022-11-23T01:32:37.9616340Z                 'obj_weakref': None
2022-11-23T01:32:37.9616465Z                 'guarded_class': None
2022-11-23T01:32:37.9616526Z             }
2022-11-23T01:32:37.9616589Z             
2022-11-23T01:32:37.9616847Z [2022-11-23 01:26:39,963] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 349
2022-11-23T01:32:37.9617220Z [2022-11-23 01:26:42,551] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ct/cct3qdkr3bspga6n4txz2bevphftmfscmt6oijkqjslnwokva7ol.py
2022-11-23T01:32:37.9617481Z [2022-11-23 01:26:42,552] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 349
2022-11-23T01:32:37.9617489Z 
2022-11-23T01:32:37.9617570Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9617637Z import torch
2022-11-23T01:32:37.9617705Z import random
2022-11-23T01:32:37.9617817Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9617938Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9617943Z 
2022-11-23T01:32:37.9618018Z aten = torch.ops.aten
2022-11-23T01:32:37.9618154Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9618234Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9618249Z 
2022-11-23T01:32:37.9618254Z 
2022-11-23T01:32:37.9618373Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9618577Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9618696Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9618799Z                        const long* __restrict__ in_ptr1,
2022-11-23T01:32:37.9618929Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.9619027Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.9619088Z {
2022-11-23T01:32:37.9619173Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9619236Z     {
2022-11-23T01:32:37.9619312Z         #pragma omp for 
2022-11-23T01:32:37.9619393Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:37.9619455Z         {
2022-11-23T01:32:37.9619542Z             {
2022-11-23T01:32:37.9619610Z                 {
2022-11-23T01:32:37.9619690Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.9619774Z                     out_ptr0[i0] = tmp0;
2022-11-23T01:32:37.9619839Z                 }
2022-11-23T01:32:37.9619900Z             }
2022-11-23T01:32:37.9619963Z         }
2022-11-23T01:32:37.9620037Z         #pragma omp for 
2022-11-23T01:32:37.9620105Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:37.9620165Z         {
2022-11-23T01:32:37.9620247Z             #pragma GCC ivdep
2022-11-23T01:32:37.9620327Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:37.9620389Z             {
2022-11-23T01:32:37.9620451Z                 {
2022-11-23T01:32:37.9620518Z                     {
2022-11-23T01:32:37.9620606Z                         auto tmp0 = in_ptr1[i1 + (3*i0)];
2022-11-23T01:32:37.9620710Z                         auto tmp1 = static_cast<float>(0);
2022-11-23T01:32:37.9620810Z                         out_ptr0[i1 + (3*tmp0)] = tmp1;
2022-11-23T01:32:37.9620876Z                     }
2022-11-23T01:32:37.9620940Z                 }
2022-11-23T01:32:37.9621001Z             }
2022-11-23T01:32:37.9621061Z         }
2022-11-23T01:32:37.9621124Z         #pragma omp for 
2022-11-23T01:32:37.9621205Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:37.9621270Z         {
2022-11-23T01:32:37.9621347Z             #pragma GCC ivdep
2022-11-23T01:32:37.9621427Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:37.9621488Z             {
2022-11-23T01:32:37.9621553Z                 {
2022-11-23T01:32:37.9621606Z                     {
2022-11-23T01:32:37.9621705Z                         auto tmp0 = in_ptr1[i1 + (3*i0)];
2022-11-23T01:32:37.9621800Z                         auto tmp1 = in_ptr2[i1 + (3*i0)];
2022-11-23T01:32:37.9621912Z                         atomic_add(&out_ptr0[i1 + (3*tmp0)], tmp1);
2022-11-23T01:32:37.9621978Z                     }
2022-11-23T01:32:37.9622042Z                 }
2022-11-23T01:32:37.9622105Z             }
2022-11-23T01:32:37.9622154Z         }
2022-11-23T01:32:37.9622213Z     }
2022-11-23T01:32:37.9622272Z }
2022-11-23T01:32:37.9622352Z ''')
2022-11-23T01:32:37.9622358Z 
2022-11-23T01:32:37.9622362Z 
2022-11-23T01:32:37.9622450Z async_compile.wait(globals())
2022-11-23T01:32:37.9622521Z del async_compile
2022-11-23T01:32:37.9622526Z 
2022-11-23T01:32:37.9622594Z def call(args):
2022-11-23T01:32:37.9622663Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.9622732Z     args.clear()
2022-11-23T01:32:37.9622928Z     buf0 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9623117Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.9623185Z     del arg0_1
2022-11-23T01:32:37.9623249Z     del arg1_1
2022-11-23T01:32:37.9623312Z     del arg2_1
2022-11-23T01:32:37.9623370Z     return (buf0, )
2022-11-23T01:32:37.9623375Z 
2022-11-23T01:32:37.9623379Z 
2022-11-23T01:32:37.9623455Z if __name__ == "__main__":
2022-11-23T01:32:37.9623567Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9623685Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9623878Z     arg0_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9624065Z     arg1_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.9624253Z     arg2_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9624403Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.9624408Z 
2022-11-23T01:32:37.9624536Z ok (2.648s)
2022-11-23T01:32:37.9624861Z   test_select_scatter_cpu (__main__.CpuTests) ... [2022-11-23 01:26:42,573] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9625135Z [2022-11-23 01:26:42,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9625404Z [2022-11-23 01:26:42,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9625657Z [2022-11-23 01:26:42,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9625939Z [2022-11-23 01:26:42,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9626261Z [2022-11-23 01:26:42,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9626591Z [2022-11-23 01:26:42,574] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f643d0c0, file "inductor/test_torchinductor.py", line 3626> 
2022-11-23T01:32:37.9626685Z  3628           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.9626778Z                2 LOAD_METHOD              1 (select_scatter)
2022-11-23T01:32:37.9626870Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.9626962Z                6 LOAD_FAST                1 (a)
2022-11-23T01:32:37.9627050Z                8 LOAD_CONST               1 (1)
2022-11-23T01:32:37.9627138Z               10 LOAD_CONST               2 (0)
2022-11-23T01:32:37.9627225Z               12 CALL_METHOD              4
2022-11-23T01:32:37.9627230Z 
2022-11-23T01:32:37.9627322Z 3629          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.9627425Z               16 LOAD_METHOD              1 (select_scatter)
2022-11-23T01:32:37.9627502Z               18 LOAD_FAST                0 (x)
2022-11-23T01:32:37.9627590Z               20 LOAD_FAST                2 (b)
2022-11-23T01:32:37.9627677Z               22 LOAD_CONST               2 (0)
2022-11-23T01:32:37.9627763Z               24 LOAD_CONST               1 (1)
2022-11-23T01:32:37.9627848Z               26 CALL_METHOD              4
2022-11-23T01:32:37.9627934Z               28 BUILD_TUPLE              2
2022-11-23T01:32:37.9628009Z               30 RETURN_VALUE
2022-11-23T01:32:37.9628058Z  
2022-11-23T01:32:37.9628063Z 
2022-11-23T01:32:37.9628330Z [2022-11-23 01:26:42,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3628
2022-11-23T01:32:37.9628544Z [2022-11-23 01:26:42,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.9628862Z [2022-11-23 01:26:42,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR select_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.9629127Z [2022-11-23 01:26:42,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.select_scatter)]
2022-11-23T01:32:37.9629417Z [2022-11-23 01:26:42,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.select_scatter), TensorVariable()]
2022-11-23T01:32:37.9629735Z [2022-11-23 01:26:42,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9630097Z [2022-11-23 01:26:42,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9630498Z [2022-11-23 01:26:42,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9630762Z [2022-11-23 01:26:42,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3629
2022-11-23T01:32:37.9631036Z [2022-11-23 01:26:42,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.9631371Z [2022-11-23 01:26:42,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR select_scatter [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.9631687Z [2022-11-23 01:26:42,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.select_scatter)]
2022-11-23T01:32:37.9632005Z [2022-11-23 01:26:42,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable()]
2022-11-23T01:32:37.9632353Z [2022-11-23 01:26:42,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9632741Z [2022-11-23 01:26:42,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9633176Z [2022-11-23 01:26:42,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9633448Z [2022-11-23 01:26:42,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9633696Z [2022-11-23 01:26:42,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9634029Z [2022-11-23 01:26:42,608] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f643d0c0, file "inductor/test_torchinductor.py", line 3626>
2022-11-23T01:32:37.9634275Z [2022-11-23 01:26:42,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9634513Z [2022-11-23 01:26:42,608] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9634753Z [2022-11-23 01:26:42,611] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9635003Z [2022-11-23 01:26:42,620] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9635196Z [2022-11-23 01:26:42,620] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9635332Z  __compiled_fn_357 <eval_with_key>.2219 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9635423Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9635511Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.9635597Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:37.9635737Z call_function, select_scatter, aten.select_scatter, (ex_0_, ex_1_, 1, 0), {}
2022-11-23T01:32:37.9635863Z call_function, select_scatter_1, aten.select_scatter, (ex_0_, ex_2_, 0, 1), {}
2022-11-23T01:32:37.9635996Z output, output, output, ((select_scatter, select_scatter_1),), {}
2022-11-23T01:32:37.9636002Z 
2022-11-23T01:32:37.9636277Z [2022-11-23 01:26:42,621] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9636371Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9636463Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9636558Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9636650Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9636726Z               8 RETURN_VALUE
2022-11-23T01:32:37.9636731Z 
2022-11-23T01:32:37.9636780Z  
2022-11-23T01:32:37.9637054Z [2022-11-23 01:26:42,621] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9637313Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_357)
2022-11-23T01:32:37.9637436Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9637588Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9637667Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9637754Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9637829Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9637905Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.9637992Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9638110Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:37.9638187Z              18 BINARY_SUBSCR
2022-11-23T01:32:37.9638277Z              20 CALL_FUNCTION            3
2022-11-23T01:32:37.9638383Z              22 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.9638470Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9638560Z              26 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9638635Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.9638737Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9638827Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9638903Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.9638994Z              36 BUILD_TUPLE              2
2022-11-23T01:32:37.9639057Z              38 RETURN_VALUE
2022-11-23T01:32:37.9639076Z 
2022-11-23T01:32:37.9639124Z  
2022-11-23T01:32:37.9639314Z [2022-11-23 01:26:42,623] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9639385Z  - 
2022-11-23T01:32:37.9639503Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9639570Z             {
2022-11-23T01:32:37.9639710Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9639896Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 3'],
2022-11-23T01:32:37.9640003Z                 'obj_weakref': None
2022-11-23T01:32:37.9640231Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9640297Z             }
2022-11-23T01:32:37.9640366Z             
2022-11-23T01:32:37.9640434Z  - 
2022-11-23T01:32:37.9640557Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9640606Z             {
2022-11-23T01:32:37.9640747Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9640851Z                 'code': None,
2022-11-23T01:32:37.9641058Z                 'obj_weakref': <weakref at 0x7f7106de8170; to 'Tensor' at 0x7f7106788170>
2022-11-23T01:32:37.9641308Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9641370Z             }
2022-11-23T01:32:37.9641432Z             
2022-11-23T01:32:37.9641500Z  - 
2022-11-23T01:32:37.9641611Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.9641671Z             {
2022-11-23T01:32:37.9641811Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9641914Z                 'code': None,
2022-11-23T01:32:37.9642122Z                 'obj_weakref': <weakref at 0x7f7106de8ad0; to 'Tensor' at 0x7f7106c36e90>
2022-11-23T01:32:37.9642368Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9642433Z             }
2022-11-23T01:32:37.9642482Z             
2022-11-23T01:32:37.9642548Z  - 
2022-11-23T01:32:37.9642670Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:37.9642731Z             {
2022-11-23T01:32:37.9642875Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9642982Z                 'code': None,
2022-11-23T01:32:37.9643186Z                 'obj_weakref': <weakref at 0x7f7106de8fb0; to 'Tensor' at 0x7f7106c36290>
2022-11-23T01:32:37.9643420Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9643481Z             }
2022-11-23T01:32:37.9643542Z             
2022-11-23T01:32:37.9643610Z  - 
2022-11-23T01:32:37.9643742Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9643836Z             {
2022-11-23T01:32:37.9643969Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9644125Z                 'code': ['___check_obj_id(model, 140123424046832)'],
2022-11-23T01:32:37.9644245Z                 'obj_weakref': None
2022-11-23T01:32:37.9644471Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9644534Z             }
2022-11-23T01:32:37.9644598Z             
2022-11-23T01:32:37.9644699Z  - 
2022-11-23T01:32:37.9644821Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9644871Z             {
2022-11-23T01:32:37.9645007Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9645221Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9645336Z                 'obj_weakref': None
2022-11-23T01:32:37.9645553Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9645620Z             }
2022-11-23T01:32:37.9645682Z             
2022-11-23T01:32:37.9645736Z  - 
2022-11-23T01:32:37.9645865Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.9645926Z             {
2022-11-23T01:32:37.9646042Z                 'guard_types': None,
2022-11-23T01:32:37.9646146Z                 'code': None,
2022-11-23T01:32:37.9646260Z                 'obj_weakref': None
2022-11-23T01:32:37.9646367Z                 'guarded_class': None
2022-11-23T01:32:37.9646432Z             }
2022-11-23T01:32:37.9646494Z             
2022-11-23T01:32:37.9646755Z [2022-11-23 01:26:42,637] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 350
2022-11-23T01:32:37.9647125Z [2022-11-23 01:26:45,229] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ky/ckyqii44kowxjkq7h6twzcrxv3izmsfmvflejxx5ftr37p3s4bol.py
2022-11-23T01:32:37.9647390Z [2022-11-23 01:26:45,230] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 350
2022-11-23T01:32:37.9647397Z 
2022-11-23T01:32:37.9647489Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9647559Z import torch
2022-11-23T01:32:37.9647615Z import random
2022-11-23T01:32:37.9647727Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9647847Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9647852Z 
2022-11-23T01:32:37.9647929Z aten = torch.ops.aten
2022-11-23T01:32:37.9648064Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9648153Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9648158Z 
2022-11-23T01:32:37.9648163Z 
2022-11-23T01:32:37.9648294Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9648498Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9648604Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9648706Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.9648808Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:37.9648906Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.9649001Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.9649060Z {
2022-11-23T01:32:37.9649157Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9649207Z     {
2022-11-23T01:32:37.9649282Z         #pragma omp for 
2022-11-23T01:32:37.9649361Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.9649424Z         {
2022-11-23T01:32:37.9649502Z             #pragma GCC ivdep
2022-11-23T01:32:37.9649587Z             for(long i1=0; i1<197; i1+=1)
2022-11-23T01:32:37.9649650Z             {
2022-11-23T01:32:37.9649719Z                 #pragma GCC ivdep
2022-11-23T01:32:37.9649806Z                 for(long i2=0; i2<38; i2+=1)
2022-11-23T01:32:37.9649869Z                 {
2022-11-23T01:32:37.9649937Z                     {
2022-11-23T01:32:37.9650004Z                         {
2022-11-23T01:32:37.9650136Z                             auto tmp3 = in_ptr0[i2 + (38*i0)];
2022-11-23T01:32:37.9650245Z                             auto tmp4 = in_ptr1[i2 + (38*i1) + (7486*i0)];
2022-11-23T01:32:37.9650338Z                             auto tmp0 = static_cast<int>(i1);
2022-11-23T01:32:37.9650442Z                             auto tmp1 = static_cast<int>(0);
2022-11-23T01:32:37.9650535Z                             auto tmp2 = tmp0 == tmp1;
2022-11-23T01:32:37.9650662Z                             auto tmp5 = tmp2 ? tmp3 : tmp4;
2022-11-23T01:32:37.9650767Z                             out_ptr0[i2 + (38*i1) + (7486*i0)] = tmp5;
2022-11-23T01:32:37.9650837Z                         }
2022-11-23T01:32:37.9650903Z                     }
2022-11-23T01:32:37.9650954Z                 }
2022-11-23T01:32:37.9651016Z             }
2022-11-23T01:32:37.9651077Z         }
2022-11-23T01:32:37.9651152Z         #pragma omp for 
2022-11-23T01:32:37.9651233Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.9651300Z         {
2022-11-23T01:32:37.9651378Z             #pragma GCC ivdep
2022-11-23T01:32:37.9651451Z             for(long i1=0; i1<7486; i1+=1)
2022-11-23T01:32:37.9651513Z             {
2022-11-23T01:32:37.9651577Z                 {
2022-11-23T01:32:37.9651642Z                     {
2022-11-23T01:32:37.9651738Z                         auto tmp3 = in_ptr2[i1];
2022-11-23T01:32:37.9651838Z                         auto tmp4 = in_ptr1[i1 + (7486*i0)];
2022-11-23T01:32:37.9651942Z                         auto tmp0 = static_cast<int>(i0);
2022-11-23T01:32:37.9652030Z                         auto tmp1 = static_cast<int>(1);
2022-11-23T01:32:37.9652121Z                         auto tmp2 = tmp0 == tmp1;
2022-11-23T01:32:37.9652219Z                         auto tmp5 = tmp2 ? tmp3 : tmp4;
2022-11-23T01:32:37.9652311Z                         out_ptr1[i1 + (7486*i0)] = tmp5;
2022-11-23T01:32:37.9652375Z                     }
2022-11-23T01:32:37.9652438Z                 }
2022-11-23T01:32:37.9652500Z             }
2022-11-23T01:32:37.9652552Z         }
2022-11-23T01:32:37.9652613Z     }
2022-11-23T01:32:37.9652673Z }
2022-11-23T01:32:37.9652749Z ''')
2022-11-23T01:32:37.9652755Z 
2022-11-23T01:32:37.9652759Z 
2022-11-23T01:32:37.9652849Z async_compile.wait(globals())
2022-11-23T01:32:37.9652919Z del async_compile
2022-11-23T01:32:37.9652924Z 
2022-11-23T01:32:37.9652993Z def call(args):
2022-11-23T01:32:37.9653062Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:37.9653136Z     args.clear()
2022-11-23T01:32:37.9653351Z     buf0 = empty_strided((8, 197, 38), (7486, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9653559Z     buf1 = empty_strided((8, 197, 38), (7486, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9653769Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.9653836Z     del arg0_1
2022-11-23T01:32:37.9653900Z     del arg1_1
2022-11-23T01:32:37.9653965Z     del arg2_1
2022-11-23T01:32:37.9654031Z     return (buf0, buf1, )
2022-11-23T01:32:37.9654037Z 
2022-11-23T01:32:37.9654041Z 
2022-11-23T01:32:37.9654115Z if __name__ == "__main__":
2022-11-23T01:32:37.9654227Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9654346Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9654554Z     arg0_1 = rand_strided((8, 197, 38), (7486, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9654754Z     arg1_1 = rand_strided((8, 38), (38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9654951Z     arg2_1 = rand_strided((197, 38), (38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9655071Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:37.9655076Z 
2022-11-23T01:32:37.9655130Z ok (2.734s)
2022-11-23T01:32:37.9655425Z   test_sgn_cpu (__main__.CpuTests) ... [2022-11-23 01:26:45,299] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9655723Z [2022-11-23 01:26:45,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9655940Z [2022-11-23 01:26:45,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9656193Z [2022-11-23 01:26:45,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9656503Z [2022-11-23 01:26:45,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9656829Z [2022-11-23 01:26:45,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9657151Z [2022-11-23 01:26:45,300] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64686f0, file "inductor/test_torchinductor.py", line 670> 
2022-11-23T01:32:37.9657244Z  671           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.9657329Z               2 LOAD_METHOD              1 (sgn)
2022-11-23T01:32:37.9657417Z               4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9657504Z               6 CALL_METHOD              1
2022-11-23T01:32:37.9657595Z               8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.9657683Z              10 LOAD_METHOD              1 (sgn)
2022-11-23T01:32:37.9657768Z              12 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9657855Z              14 LOAD_CONST               1 (1)
2022-11-23T01:32:37.9657918Z              16 BINARY_ADD
2022-11-23T01:32:37.9658003Z              18 CALL_METHOD              1
2022-11-23T01:32:37.9658090Z              20 LOAD_CONST               1 (1)
2022-11-23T01:32:37.9658168Z              22 BINARY_SUBTRACT
2022-11-23T01:32:37.9658254Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.9658328Z              26 RETURN_VALUE
2022-11-23T01:32:37.9658388Z  
2022-11-23T01:32:37.9658393Z 
2022-11-23T01:32:37.9658657Z [2022-11-23 01:26:45,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:671
2022-11-23T01:32:37.9658865Z [2022-11-23 01:26:45,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.9659225Z [2022-11-23 01:26:45,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sgn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.9659546Z [2022-11-23 01:26:45,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sgn of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.9659899Z [2022-11-23 01:26:45,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sgn of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9660143Z [2022-11-23 01:26:45,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.9660532Z [2022-11-23 01:26:45,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sgn [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.9660878Z [2022-11-23 01:26:45,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method sgn of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.9661251Z [2022-11-23 01:26:45,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method sgn of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9661669Z [2022-11-23 01:26:45,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method sgn of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9662047Z [2022-11-23 01:26:45,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method sgn of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9662343Z [2022-11-23 01:26:45,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9662657Z [2022-11-23 01:26:45,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9662939Z [2022-11-23 01:26:45,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9663181Z [2022-11-23 01:26:45,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9663506Z [2022-11-23 01:26:45,312] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64686f0, file "inductor/test_torchinductor.py", line 670>
2022-11-23T01:32:37.9663747Z [2022-11-23 01:26:45,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9663977Z [2022-11-23 01:26:45,313] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9664231Z [2022-11-23 01:26:45,315] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9664563Z [2022-11-23 01:26:45,329] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9664753Z [2022-11-23 01:26:45,330] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9664889Z  __compiled_fn_358 <eval_with_key>.2225 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9664966Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9665189Z call_function, sgn, <built-in method sgn of type object at 0x7f71f2abebc0>, (ex_0_,), {}
2022-11-23T01:32:37.9665361Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.9665579Z call_function, sgn_1, <built-in method sgn of type object at 0x7f71f2abebc0>, (add,), {}
2022-11-23T01:32:37.9665750Z call_function, sub, <built-in function sub>, (sgn_1, 1), {}
2022-11-23T01:32:37.9665853Z output, output, output, ((sgn, sub),), {}
2022-11-23T01:32:37.9665858Z 
2022-11-23T01:32:37.9666134Z [2022-11-23 01:26:45,330] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9666226Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9666304Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9666397Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9666486Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9666561Z               8 RETURN_VALUE
2022-11-23T01:32:37.9666567Z 
2022-11-23T01:32:37.9666626Z  
2022-11-23T01:32:37.9666896Z [2022-11-23 01:26:45,330] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9667003Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_358)
2022-11-23T01:32:37.9667092Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9667170Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9667246Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9667333Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.9667434Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.9667534Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9667622Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9667701Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.9667789Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9667875Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9667948Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.9668034Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.9668109Z              26 RETURN_VALUE
2022-11-23T01:32:37.9668113Z 
2022-11-23T01:32:37.9668174Z  
2022-11-23T01:32:37.9668354Z [2022-11-23 01:26:45,332] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9668445Z  - 
2022-11-23T01:32:37.9668561Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9668625Z             {
2022-11-23T01:32:37.9668764Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9668949Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.9669065Z                 'obj_weakref': None
2022-11-23T01:32:37.9669327Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9669380Z             }
2022-11-23T01:32:37.9669442Z             
2022-11-23T01:32:37.9669510Z  - 
2022-11-23T01:32:37.9669634Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9669696Z             {
2022-11-23T01:32:37.9669837Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9669941Z                 'code': None,
2022-11-23T01:32:37.9670134Z                 'obj_weakref': <weakref at 0x7f7106269410; to 'Tensor' at 0x7f71c1283110>
2022-11-23T01:32:37.9670380Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9670446Z             }
2022-11-23T01:32:37.9670508Z             
2022-11-23T01:32:37.9670575Z  - 
2022-11-23T01:32:37.9670704Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9670766Z             {
2022-11-23T01:32:37.9670884Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9671051Z                 'code': ['___check_obj_id(model, 140123620708720)'],
2022-11-23T01:32:37.9671169Z                 'obj_weakref': None
2022-11-23T01:32:37.9671394Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9671456Z             }
2022-11-23T01:32:37.9671519Z             
2022-11-23T01:32:37.9671606Z  - 
2022-11-23T01:32:37.9671716Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9671779Z             {
2022-11-23T01:32:37.9671915Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9672135Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9672254Z                 'obj_weakref': None
2022-11-23T01:32:37.9672471Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9672537Z             }
2022-11-23T01:32:37.9672586Z             
2022-11-23T01:32:37.9672656Z  - 
2022-11-23T01:32:37.9672794Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.9672860Z             {
2022-11-23T01:32:37.9672984Z                 'guard_types': None,
2022-11-23T01:32:37.9673091Z                 'code': None,
2022-11-23T01:32:37.9673207Z                 'obj_weakref': None
2022-11-23T01:32:37.9673314Z                 'guarded_class': None
2022-11-23T01:32:37.9673378Z             }
2022-11-23T01:32:37.9673442Z             
2022-11-23T01:32:37.9673701Z [2022-11-23 01:26:45,347] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 351
2022-11-23T01:32:37.9674076Z [2022-11-23 01:26:47,907] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kp/ckprn6kpp5hga47rln6cmjeb2z7vfioccdrvblzl74z3vbmyr6jc.py
2022-11-23T01:32:37.9674340Z [2022-11-23 01:26:47,907] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 351
2022-11-23T01:32:37.9674346Z 
2022-11-23T01:32:37.9674441Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9674514Z import torch
2022-11-23T01:32:37.9674571Z import random
2022-11-23T01:32:37.9674685Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9674808Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9674813Z 
2022-11-23T01:32:37.9674895Z aten = torch.ops.aten
2022-11-23T01:32:37.9675030Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9675122Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9675128Z 
2022-11-23T01:32:37.9675131Z 
2022-11-23T01:32:37.9675296Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9675502Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9675608Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9675711Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.9675811Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.9675873Z {
2022-11-23T01:32:37.9676001Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9676064Z     {
2022-11-23T01:32:37.9676141Z         #pragma omp for 
2022-11-23T01:32:37.9676209Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:37.9676273Z         {
2022-11-23T01:32:37.9676416Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.9676586Z             auto tmp1 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), decltype(tmp0)(0) < tmp0);
2022-11-23T01:32:37.9676759Z             auto tmp2 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), tmp0 < decltype(tmp0)(0));
2022-11-23T01:32:37.9676889Z             auto tmp3 = tmp1 - tmp2;
2022-11-23T01:32:37.9677023Z             auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.9677231Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:32:37.9677385Z             auto tmp6 = decltype(tmp5)::blendv(decltype(tmp5)(0), decltype(tmp5)(1), decltype(tmp5)(0) < tmp5);
2022-11-23T01:32:37.9677553Z             auto tmp7 = decltype(tmp5)::blendv(decltype(tmp5)(0), decltype(tmp5)(1), tmp5 < decltype(tmp5)(0));
2022-11-23T01:32:37.9677679Z             auto tmp8 = tmp6 - tmp7;
2022-11-23T01:32:37.9677800Z             auto tmp9 = tmp8 - tmp4;
2022-11-23T01:32:37.9677894Z             tmp3.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.9677987Z             tmp9.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.9678050Z         }
2022-11-23T01:32:37.9678147Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.9678217Z         for(long i0=32; i0<41; i0+=1)
2022-11-23T01:32:37.9678283Z         {
2022-11-23T01:32:37.9678365Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.9678453Z             auto tmp1 = tmp0 > 0 ? 1 : 0;
2022-11-23T01:32:37.9678540Z             auto tmp2 = tmp0 < 0 ? 1 : 0;
2022-11-23T01:32:37.9678660Z             auto tmp3 = tmp1 - tmp2;
2022-11-23T01:32:37.9678760Z             auto tmp4 = static_cast<float>(1);
2022-11-23T01:32:37.9678832Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:32:37.9678917Z             auto tmp6 = tmp5 > 0 ? 1 : 0;
2022-11-23T01:32:37.9679000Z             auto tmp7 = tmp5 < 0 ? 1 : 0;
2022-11-23T01:32:37.9679120Z             auto tmp8 = tmp6 - tmp7;
2022-11-23T01:32:37.9679236Z             auto tmp9 = tmp8 - tmp4;
2022-11-23T01:32:37.9679313Z             out_ptr0[i0] = tmp3;
2022-11-23T01:32:37.9679390Z             out_ptr1[i0] = tmp9;
2022-11-23T01:32:37.9679439Z         }
2022-11-23T01:32:37.9679499Z     }
2022-11-23T01:32:37.9679557Z }
2022-11-23T01:32:37.9679635Z ''')
2022-11-23T01:32:37.9679643Z 
2022-11-23T01:32:37.9679647Z 
2022-11-23T01:32:37.9679734Z async_compile.wait(globals())
2022-11-23T01:32:37.9679805Z del async_compile
2022-11-23T01:32:37.9679810Z 
2022-11-23T01:32:37.9679878Z def call(args):
2022-11-23T01:32:37.9679934Z     arg0_1, = args
2022-11-23T01:32:37.9680004Z     args.clear()
2022-11-23T01:32:37.9680197Z     buf0 = empty_strided((41, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9680387Z     buf1 = empty_strided((41, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9680548Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.9680614Z     del arg0_1
2022-11-23T01:32:37.9680689Z     return (buf0, buf1, )
2022-11-23T01:32:37.9680695Z 
2022-11-23T01:32:37.9680699Z 
2022-11-23T01:32:37.9680773Z if __name__ == "__main__":
2022-11-23T01:32:37.9680873Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9680993Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9681243Z     arg0_1 = rand_strided((41, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9681351Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.9681356Z 
2022-11-23T01:32:37.9681425Z ok (2.622s)
2022-11-23T01:32:37.9681743Z   test_sgn_extremal_cpu (__main__.CpuTests) ... [2022-11-23 01:26:47,921] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9682056Z [2022-11-23 01:26:47,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9682275Z [2022-11-23 01:26:47,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9682514Z [2022-11-23 01:26:47,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9682800Z [2022-11-23 01:26:47,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9683128Z [2022-11-23 01:26:47,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9683450Z [2022-11-23 01:26:47,922] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6468810, file "inductor/test_torchinductor.py", line 676> 
2022-11-23T01:32:37.9683547Z  677           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.9683643Z               2 LOAD_METHOD              1 (sgn)
2022-11-23T01:32:37.9683736Z               4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9683823Z               6 CALL_METHOD              1
2022-11-23T01:32:37.9683899Z               8 BUILD_TUPLE              1
2022-11-23T01:32:37.9683973Z              10 RETURN_VALUE
2022-11-23T01:32:37.9684033Z  
2022-11-23T01:32:37.9684038Z 
2022-11-23T01:32:37.9684303Z [2022-11-23 01:26:47,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:677
2022-11-23T01:32:37.9684520Z [2022-11-23 01:26:47,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.9684880Z [2022-11-23 01:26:47,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sgn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.9685199Z [2022-11-23 01:26:47,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sgn of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.9685551Z [2022-11-23 01:26:47,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sgn of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9685791Z [2022-11-23 01:26:47,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:37.9686036Z [2022-11-23 01:26:47,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9686346Z [2022-11-23 01:26:47,926] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6468810, file "inductor/test_torchinductor.py", line 676>
2022-11-23T01:32:37.9686590Z [2022-11-23 01:26:47,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9686822Z [2022-11-23 01:26:47,926] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9687074Z [2022-11-23 01:26:47,928] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9687321Z [2022-11-23 01:26:47,935] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9687508Z [2022-11-23 01:26:47,936] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9687643Z  __compiled_fn_359 <eval_with_key>.2231 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9687734Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9687943Z call_function, sgn, <built-in method sgn of type object at 0x7f71f2abebc0>, (ex_0_,), {}
2022-11-23T01:32:37.9688068Z output, output, output, ((sgn,),), {}
2022-11-23T01:32:37.9688074Z 
2022-11-23T01:32:37.9688347Z [2022-11-23 01:26:47,936] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9688441Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9688530Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9688650Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9688739Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9688812Z               8 RETURN_VALUE
2022-11-23T01:32:37.9688821Z 
2022-11-23T01:32:37.9688869Z  
2022-11-23T01:32:37.9689139Z [2022-11-23 01:26:47,936] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9689247Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_359)
2022-11-23T01:32:37.9689337Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9689425Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9689499Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9689588Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.9689689Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.9689776Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9689864Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9689940Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.9690028Z              18 BUILD_TUPLE              1
2022-11-23T01:32:37.9690102Z              20 RETURN_VALUE
2022-11-23T01:32:37.9690108Z 
2022-11-23T01:32:37.9690166Z  
2022-11-23T01:32:37.9690345Z [2022-11-23 01:26:47,938] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9690402Z  - 
2022-11-23T01:32:37.9690517Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9690582Z             {
2022-11-23T01:32:37.9690722Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9690907Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.9691025Z                 'obj_weakref': None
2022-11-23T01:32:37.9691243Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9691295Z             }
2022-11-23T01:32:37.9691357Z             
2022-11-23T01:32:37.9691425Z  - 
2022-11-23T01:32:37.9691548Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9691610Z             {
2022-11-23T01:32:37.9691748Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9691851Z                 'code': None,
2022-11-23T01:32:37.9692044Z                 'obj_weakref': <weakref at 0x7f7106793a70; to 'Tensor' at 0x7f7106c36290>
2022-11-23T01:32:37.9692292Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9692356Z             }
2022-11-23T01:32:37.9692419Z             
2022-11-23T01:32:37.9692489Z  - 
2022-11-23T01:32:37.9692617Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9692681Z             {
2022-11-23T01:32:37.9692804Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9692970Z                 'code': ['___check_obj_id(model, 140123421352448)'],
2022-11-23T01:32:37.9693087Z                 'obj_weakref': None
2022-11-23T01:32:37.9693314Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9693377Z             }
2022-11-23T01:32:37.9693439Z             
2022-11-23T01:32:37.9693506Z  - 
2022-11-23T01:32:37.9693614Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9693676Z             {
2022-11-23T01:32:37.9693810Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9694024Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9694168Z                 'obj_weakref': None
2022-11-23T01:32:37.9694386Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9694448Z             }
2022-11-23T01:32:37.9694498Z             
2022-11-23T01:32:37.9694565Z  - 
2022-11-23T01:32:37.9694696Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.9694760Z             {
2022-11-23T01:32:37.9694877Z                 'guard_types': None,
2022-11-23T01:32:37.9695012Z                 'code': None,
2022-11-23T01:32:37.9695128Z                 'obj_weakref': None
2022-11-23T01:32:37.9695235Z                 'guarded_class': None
2022-11-23T01:32:37.9695296Z             }
2022-11-23T01:32:37.9695358Z             
2022-11-23T01:32:37.9695614Z [2022-11-23 01:26:47,948] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 352
2022-11-23T01:32:37.9695979Z [2022-11-23 01:26:50,522] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4x/c4xp2tq7hjuvw7lljs63harcjqiam5vaofel2vtmbbc5jwnokfur.py
2022-11-23T01:32:37.9696243Z [2022-11-23 01:26:50,523] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 352
2022-11-23T01:32:37.9696249Z 
2022-11-23T01:32:37.9696341Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9696409Z import torch
2022-11-23T01:32:37.9696464Z import random
2022-11-23T01:32:37.9696577Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9696698Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9696703Z 
2022-11-23T01:32:37.9696781Z aten = torch.ops.aten
2022-11-23T01:32:37.9696913Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9697007Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9697013Z 
2022-11-23T01:32:37.9697017Z 
2022-11-23T01:32:37.9697150Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9697352Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9697461Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9697562Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.9697622Z {
2022-11-23T01:32:37.9697716Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9697779Z     {
2022-11-23T01:32:37.9697854Z         #pragma omp for 
2022-11-23T01:32:37.9697923Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.9697985Z         {
2022-11-23T01:32:37.9698047Z             {
2022-11-23T01:32:37.9698112Z                 {
2022-11-23T01:32:37.9698202Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.9698294Z                     auto tmp1 = tmp0 > 0 ? 1 : 0;
2022-11-23T01:32:37.9698386Z                     auto tmp2 = tmp0 < 0 ? 1 : 0;
2022-11-23T01:32:37.9698506Z                     auto tmp3 = tmp1 - tmp2;
2022-11-23T01:32:37.9698591Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:37.9698654Z                 }
2022-11-23T01:32:37.9698714Z             }
2022-11-23T01:32:37.9698778Z         }
2022-11-23T01:32:37.9698839Z     }
2022-11-23T01:32:37.9698897Z }
2022-11-23T01:32:37.9698961Z ''')
2022-11-23T01:32:37.9698966Z 
2022-11-23T01:32:37.9698970Z 
2022-11-23T01:32:37.9699058Z async_compile.wait(globals())
2022-11-23T01:32:37.9699128Z del async_compile
2022-11-23T01:32:37.9699133Z 
2022-11-23T01:32:37.9699202Z def call(args):
2022-11-23T01:32:37.9699272Z     arg0_1, = args
2022-11-23T01:32:37.9699343Z     args.clear()
2022-11-23T01:32:37.9699535Z     buf0 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9699657Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.9699723Z     del arg0_1
2022-11-23T01:32:37.9699792Z     return (buf0, )
2022-11-23T01:32:37.9699796Z 
2022-11-23T01:32:37.9699800Z 
2022-11-23T01:32:37.9699874Z if __name__ == "__main__":
2022-11-23T01:32:37.9699985Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9700105Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9700327Z     arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9700433Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.9700438Z 
2022-11-23T01:32:37.9700490Z ok (2.614s)
2022-11-23T01:32:37.9700791Z   test_sigmoid_cpu (__main__.CpuTests) ... [2022-11-23 01:26:50,536] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9701091Z [2022-11-23 01:26:50,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9701307Z [2022-11-23 01:26:50,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9701558Z [2022-11-23 01:26:50,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9701840Z [2022-11-23 01:26:50,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9702165Z [2022-11-23 01:26:50,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9702488Z [2022-11-23 01:26:50,537] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6477150, file "inductor/test_torchinductor.py", line 1006> 
2022-11-23T01:32:37.9702583Z  1007           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.9702681Z                2 LOAD_METHOD              1 (sigmoid)
2022-11-23T01:32:37.9702758Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9702848Z                6 CALL_METHOD              1
2022-11-23T01:32:37.9702939Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.9703034Z               10 LOAD_METHOD              1 (sigmoid)
2022-11-23T01:32:37.9703121Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9703208Z               14 LOAD_FAST                1 (b)
2022-11-23T01:32:37.9703280Z               16 BINARY_ADD
2022-11-23T01:32:37.9703358Z               18 CALL_METHOD              1
2022-11-23T01:32:37.9703443Z               20 BUILD_TUPLE              2
2022-11-23T01:32:37.9703519Z               22 RETURN_VALUE
2022-11-23T01:32:37.9703579Z  
2022-11-23T01:32:37.9703584Z 
2022-11-23T01:32:37.9703852Z [2022-11-23 01:26:50,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1007
2022-11-23T01:32:37.9704072Z [2022-11-23 01:26:50,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.9704502Z [2022-11-23 01:26:50,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sigmoid [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.9704834Z [2022-11-23 01:26:50,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sigmoid of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.9705190Z [2022-11-23 01:26:50,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sigmoid of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9705424Z [2022-11-23 01:26:50,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.9705818Z [2022-11-23 01:26:50,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sigmoid [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.9706169Z [2022-11-23 01:26:50,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method sigmoid of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.9706549Z [2022-11-23 01:26:50,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method sigmoid of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9706964Z [2022-11-23 01:26:50,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(<built-in method sigmoid of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9707381Z [2022-11-23 01:26:50,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method sigmoid of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9707716Z [2022-11-23 01:26:50,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9707961Z [2022-11-23 01:26:50,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9708291Z [2022-11-23 01:26:50,550] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6477150, file "inductor/test_torchinductor.py", line 1006>
2022-11-23T01:32:37.9708535Z [2022-11-23 01:26:50,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9708770Z [2022-11-23 01:26:50,550] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9709010Z [2022-11-23 01:26:50,553] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9709259Z [2022-11-23 01:26:50,569] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9709449Z [2022-11-23 01:26:50,570] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9709584Z  __compiled_fn_360 <eval_with_key>.2237 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9709674Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9709761Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.9709999Z call_function, sigmoid, <built-in method sigmoid of type object at 0x7f71f2abebc0>, (ex_0_,), {}
2022-11-23T01:32:37.9710175Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.9710397Z call_function, sigmoid_1, <built-in method sigmoid of type object at 0x7f71f2abebc0>, (add,), {}
2022-11-23T01:32:37.9710511Z output, output, output, ((sigmoid, sigmoid_1),), {}
2022-11-23T01:32:37.9710517Z 
2022-11-23T01:32:37.9710794Z [2022-11-23 01:26:50,570] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9710887Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9710984Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9711076Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9711164Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9711238Z               8 RETURN_VALUE
2022-11-23T01:32:37.9711244Z 
2022-11-23T01:32:37.9711294Z  
2022-11-23T01:32:37.9711565Z [2022-11-23 01:26:50,571] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9711672Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_360)
2022-11-23T01:32:37.9711762Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9711851Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9711929Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9712017Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9712103Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9712164Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.9712251Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.9712357Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.9712462Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9712551Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9712629Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.9712731Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9712806Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9712882Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.9713000Z              30 BUILD_TUPLE              2
2022-11-23T01:32:37.9713075Z              32 RETURN_VALUE
2022-11-23T01:32:37.9713080Z 
2022-11-23T01:32:37.9713141Z  
2022-11-23T01:32:37.9713323Z [2022-11-23 01:26:50,572] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9713395Z  - 
2022-11-23T01:32:37.9713501Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9713567Z             {
2022-11-23T01:32:37.9713707Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9713943Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.9714065Z                 'obj_weakref': None
2022-11-23T01:32:37.9714287Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9714353Z             }
2022-11-23T01:32:37.9714404Z             
2022-11-23T01:32:37.9714474Z  - 
2022-11-23T01:32:37.9714599Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9714667Z             {
2022-11-23T01:32:37.9714812Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9714920Z                 'code': None,
2022-11-23T01:32:37.9715129Z                 'obj_weakref': <weakref at 0x7f7106df05f0; to 'Tensor' at 0x7f71067753b0>
2022-11-23T01:32:37.9715364Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9715429Z             }
2022-11-23T01:32:37.9715494Z             
2022-11-23T01:32:37.9715564Z  - 
2022-11-23T01:32:37.9715689Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.9715753Z             {
2022-11-23T01:32:37.9715898Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9715992Z                 'code': None,
2022-11-23T01:32:37.9716198Z                 'obj_weakref': <weakref at 0x7f7106df0e30; to 'Tensor' at 0x7f71067632f0>
2022-11-23T01:32:37.9716447Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9716516Z             }
2022-11-23T01:32:37.9716579Z             
2022-11-23T01:32:37.9716648Z  - 
2022-11-23T01:32:37.9716780Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9716830Z             {
2022-11-23T01:32:37.9716965Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9717276Z                 'code': ['___check_obj_id(model, 140126547082704)'],
2022-11-23T01:32:37.9717448Z                 'obj_weakref': None
2022-11-23T01:32:37.9717684Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9717750Z             }
2022-11-23T01:32:37.9717815Z             
2022-11-23T01:32:37.9717871Z  - 
2022-11-23T01:32:37.9717992Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9718056Z             {
2022-11-23T01:32:37.9718191Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9718410Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9718530Z                 'obj_weakref': None
2022-11-23T01:32:37.9718750Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9718801Z             }
2022-11-23T01:32:37.9718864Z             
2022-11-23T01:32:37.9718932Z  - 
2022-11-23T01:32:37.9719066Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.9719130Z             {
2022-11-23T01:32:37.9719249Z                 'guard_types': None,
2022-11-23T01:32:37.9719355Z                 'code': None,
2022-11-23T01:32:37.9719459Z                 'obj_weakref': None
2022-11-23T01:32:37.9719576Z                 'guarded_class': None
2022-11-23T01:32:37.9719640Z             }
2022-11-23T01:32:37.9719702Z             
2022-11-23T01:32:37.9719960Z [2022-11-23 01:26:50,588] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 353
2022-11-23T01:32:37.9720323Z [2022-11-23 01:26:53,183] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/w5/cw54ar7sx6myklfd56b3fibqzqtha7lthdaaiyuch56wvw5hyzqa.py
2022-11-23T01:32:37.9720647Z [2022-11-23 01:26:53,183] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 353
2022-11-23T01:32:37.9720653Z 
2022-11-23T01:32:37.9720747Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9720803Z import torch
2022-11-23T01:32:37.9720872Z import random
2022-11-23T01:32:37.9720989Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9721149Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9721155Z 
2022-11-23T01:32:37.9721233Z aten = torch.ops.aten
2022-11-23T01:32:37.9721368Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9721460Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9721466Z 
2022-11-23T01:32:37.9721470Z 
2022-11-23T01:32:37.9721607Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9721797Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9721916Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9722019Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.9722116Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.9722211Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.9722269Z {
2022-11-23T01:32:37.9722367Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9722416Z     {
2022-11-23T01:32:37.9722494Z         #pragma omp for 
2022-11-23T01:32:37.9722574Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.9722636Z         {
2022-11-23T01:32:37.9722774Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.9722905Z             auto tmp2 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:37.9723039Z             auto tmp1 = decltype(tmp0)(1)/(decltype(tmp0)(1) + tmp0.neg().exp());
2022-11-23T01:32:37.9723112Z             auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:37.9723249Z             auto tmp4 = decltype(tmp3)(1)/(decltype(tmp3)(1) + tmp3.neg().exp());
2022-11-23T01:32:37.9723340Z             tmp1.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.9723431Z             tmp4.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.9723493Z         }
2022-11-23T01:32:37.9723586Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.9723669Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:37.9723720Z         {
2022-11-23T01:32:37.9723805Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.9723885Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:37.9724019Z             auto tmp1 = std::exp(-tmp0);
2022-11-23T01:32:37.9724101Z             auto tmp2 = 1 / (1 + tmp1);
2022-11-23T01:32:37.9724234Z             auto tmp4 = tmp0 + tmp3;
2022-11-23T01:32:37.9724364Z             auto tmp5 = std::exp(-tmp4);
2022-11-23T01:32:37.9724434Z             auto tmp6 = 1 / (1 + tmp5);
2022-11-23T01:32:37.9724511Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.9724589Z             out_ptr1[i0] = tmp6;
2022-11-23T01:32:37.9724650Z         }
2022-11-23T01:32:37.9724713Z     }
2022-11-23T01:32:37.9724772Z }
2022-11-23T01:32:37.9724848Z ''')
2022-11-23T01:32:37.9724854Z 
2022-11-23T01:32:37.9724858Z 
2022-11-23T01:32:37.9724935Z async_compile.wait(globals())
2022-11-23T01:32:37.9725006Z del async_compile
2022-11-23T01:32:37.9725011Z 
2022-11-23T01:32:37.9725080Z def call(args):
2022-11-23T01:32:37.9725154Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.9725227Z     args.clear()
2022-11-23T01:32:37.9725419Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9725609Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9725798Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.9725853Z     del arg0_1
2022-11-23T01:32:37.9725918Z     del arg1_1
2022-11-23T01:32:37.9726027Z     return (buf0, buf1, )
2022-11-23T01:32:37.9726032Z 
2022-11-23T01:32:37.9726037Z 
2022-11-23T01:32:37.9726111Z if __name__ == "__main__":
2022-11-23T01:32:37.9726222Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9726342Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9726537Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9726756Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9726858Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.9726863Z 
2022-11-23T01:32:37.9726928Z ok (2.663s)
2022-11-23T01:32:37.9727233Z   test_signbit_cpu (__main__.CpuTests) ... [2022-11-23 01:26:53,199] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9727503Z [2022-11-23 01:26:53,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9727721Z [2022-11-23 01:26:53,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9727973Z [2022-11-23 01:26:53,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9728256Z [2022-11-23 01:26:53,199] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9728582Z [2022-11-23 01:26:53,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9728909Z [2022-11-23 01:26:53,200] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f641ea50, file "inductor/test_torchinductor.py", line 2656> 
2022-11-23T01:32:37.9728992Z  2657           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.9729087Z                2 LOAD_METHOD              1 (signbit)
2022-11-23T01:32:37.9729179Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.9729271Z                6 CALL_METHOD              1
2022-11-23T01:32:37.9729364Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.9729457Z               10 LOAD_METHOD              1 (signbit)
2022-11-23T01:32:37.9729545Z               12 LOAD_FAST                0 (x)
2022-11-23T01:32:37.9729611Z               14 UNARY_NEGATIVE
2022-11-23T01:32:37.9729699Z               16 CALL_METHOD              1
2022-11-23T01:32:37.9729772Z               18 UNARY_INVERT
2022-11-23T01:32:37.9729862Z               20 LOAD_CONST               1 (1)
2022-11-23T01:32:37.9729936Z               22 BINARY_AND
2022-11-23T01:32:37.9730023Z               24 BUILD_TUPLE              2
2022-11-23T01:32:37.9730099Z               26 RETURN_VALUE
2022-11-23T01:32:37.9730147Z  
2022-11-23T01:32:37.9730152Z 
2022-11-23T01:32:37.9730420Z [2022-11-23 01:26:53,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2657
2022-11-23T01:32:37.9730636Z [2022-11-23 01:26:53,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.9731003Z [2022-11-23 01:26:53,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR signbit [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.9731324Z [2022-11-23 01:26:53,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method signbit of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.9731684Z [2022-11-23 01:26:53,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method signbit of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9731927Z [2022-11-23 01:26:53,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:37.9732318Z [2022-11-23 01:26:53,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR signbit [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.9732701Z [2022-11-23 01:26:53,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method signbit of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.9733099Z [2022-11-23 01:26:53,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNARY_NEGATIVE None [TensorVariable(), TorchVariable(<built-in method signbit of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9733512Z [2022-11-23 01:26:53,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(<built-in method signbit of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9733786Z [2022-11-23 01:26:53,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNARY_INVERT None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9734039Z [2022-11-23 01:26:53,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9734346Z [2022-11-23 01:26:53,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_AND None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9734610Z [2022-11-23 01:26:53,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9734853Z [2022-11-23 01:26:53,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9735181Z [2022-11-23 01:26:53,222] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f641ea50, file "inductor/test_torchinductor.py", line 2656>
2022-11-23T01:32:37.9735422Z [2022-11-23 01:26:53,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9735653Z [2022-11-23 01:26:53,222] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9735906Z [2022-11-23 01:26:53,225] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9736157Z [2022-11-23 01:26:53,238] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9736345Z [2022-11-23 01:26:53,238] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9736466Z  __compiled_fn_361 <eval_with_key>.2243 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9736553Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9736791Z call_function, signbit, <built-in method signbit of type object at 0x7f71f2abebc0>, (ex_0_,), {}
2022-11-23T01:32:37.9736957Z call_function, neg, <built-in function neg>, (ex_0_,), {}
2022-11-23T01:32:37.9737186Z call_function, signbit_1, <built-in method signbit of type object at 0x7f71f2abebc0>, (neg,), {}
2022-11-23T01:32:37.9737370Z call_function, invert, <built-in function invert>, (signbit_1,), {}
2022-11-23T01:32:37.9737544Z call_function, and_, <built-in function and_>, (invert, 1), {}
2022-11-23T01:32:37.9737638Z output, output, output, ((signbit, and_),), {}
2022-11-23T01:32:37.9737656Z 
2022-11-23T01:32:37.9737920Z [2022-11-23 01:26:53,239] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9738012Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9738102Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9738192Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9738283Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9738358Z               8 RETURN_VALUE
2022-11-23T01:32:37.9738363Z 
2022-11-23T01:32:37.9738422Z  
2022-11-23T01:32:37.9738681Z [2022-11-23 01:26:53,239] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9738786Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_361)
2022-11-23T01:32:37.9738874Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9738962Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9739066Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9739154Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.9739256Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.9739354Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9739429Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9739503Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.9739632Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9739724Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9739800Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.9739886Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.9739961Z              26 RETURN_VALUE
2022-11-23T01:32:37.9739966Z 
2022-11-23T01:32:37.9740014Z  
2022-11-23T01:32:37.9740195Z [2022-11-23 01:26:53,241] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9740263Z  - 
2022-11-23T01:32:37.9740381Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9740446Z             {
2022-11-23T01:32:37.9740584Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9740767Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.9740872Z                 'obj_weakref': None
2022-11-23T01:32:37.9741093Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9741161Z             }
2022-11-23T01:32:37.9741223Z             
2022-11-23T01:32:37.9741291Z  - 
2022-11-23T01:32:37.9741413Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9741474Z             {
2022-11-23T01:32:37.9741602Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9741706Z                 'code': None,
2022-11-23T01:32:37.9741914Z                 'obj_weakref': <weakref at 0x7f71932440b0; to 'Tensor' at 0x7f70f2e18d10>
2022-11-23T01:32:37.9742162Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9742227Z             }
2022-11-23T01:32:37.9742288Z             
2022-11-23T01:32:37.9742355Z  - 
2022-11-23T01:32:37.9742471Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9742532Z             {
2022-11-23T01:32:37.9742664Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9742831Z                 'code': ['___check_obj_id(model, 140123413938400)'],
2022-11-23T01:32:37.9742952Z                 'obj_weakref': None
2022-11-23T01:32:37.9743177Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9743238Z             }
2022-11-23T01:32:37.9743287Z             
2022-11-23T01:32:37.9743354Z  - 
2022-11-23T01:32:37.9743473Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9743538Z             {
2022-11-23T01:32:37.9743670Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9743882Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9744000Z                 'obj_weakref': None
2022-11-23T01:32:37.9744205Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9744269Z             }
2022-11-23T01:32:37.9744330Z             
2022-11-23T01:32:37.9744397Z  - 
2022-11-23T01:32:37.9744611Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.9744675Z             {
2022-11-23T01:32:37.9744798Z                 'guard_types': None,
2022-11-23T01:32:37.9744890Z                 'code': None,
2022-11-23T01:32:37.9745005Z                 'obj_weakref': None
2022-11-23T01:32:37.9745124Z                 'guarded_class': None
2022-11-23T01:32:37.9745187Z             }
2022-11-23T01:32:37.9745250Z             
2022-11-23T01:32:37.9745508Z [2022-11-23 01:26:53,258] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 354
2022-11-23T01:32:37.9745880Z [2022-11-23 01:26:55,839] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ro/crozuhtxmpzttqo5fhfrrcsimqwnzmry5ist5ydaqo2rrhuposit.py
2022-11-23T01:32:37.9746177Z [2022-11-23 01:26:55,839] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 354
2022-11-23T01:32:37.9746194Z 
2022-11-23T01:32:37.9746274Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9746345Z import torch
2022-11-23T01:32:37.9746414Z import random
2022-11-23T01:32:37.9746562Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9746685Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9746690Z 
2022-11-23T01:32:37.9746769Z aten = torch.ops.aten
2022-11-23T01:32:37.9746902Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9746981Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9746985Z 
2022-11-23T01:32:37.9747007Z 
2022-11-23T01:32:37.9747128Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9747335Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9747453Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9747551Z                        bool* __restrict__ out_ptr0,
2022-11-23T01:32:37.9747646Z                        long* __restrict__ out_ptr1)
2022-11-23T01:32:37.9747706Z {
2022-11-23T01:32:37.9747803Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9747852Z     {
2022-11-23T01:32:37.9747929Z         #pragma omp for 
2022-11-23T01:32:37.9748009Z         for(long i0=0; i0<72; i0+=1)
2022-11-23T01:32:37.9748070Z         {
2022-11-23T01:32:37.9748132Z             {
2022-11-23T01:32:37.9748198Z                 {
2022-11-23T01:32:37.9748277Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.9748381Z                     auto tmp1 = std::signbit(tmp0);
2022-11-23T01:32:37.9748503Z                     auto tmp2 = -tmp0;
2022-11-23T01:32:37.9748605Z                     auto tmp3 = std::signbit(tmp2);
2022-11-23T01:32:37.9748696Z                     auto tmp4 = tmp3 == 0;
2022-11-23T01:32:37.9748800Z                     auto tmp5 = static_cast<long>(tmp4);
2022-11-23T01:32:37.9748901Z                     auto tmp6 = static_cast<long>(1);
2022-11-23T01:32:37.9748989Z                     auto tmp7 = tmp5 & tmp6;
2022-11-23T01:32:37.9749060Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:32:37.9749142Z                     out_ptr1[i0] = tmp7;
2022-11-23T01:32:37.9749209Z                 }
2022-11-23T01:32:37.9749271Z             }
2022-11-23T01:32:37.9749332Z         }
2022-11-23T01:32:37.9749394Z     }
2022-11-23T01:32:37.9749441Z }
2022-11-23T01:32:37.9749517Z ''')
2022-11-23T01:32:37.9749522Z 
2022-11-23T01:32:37.9749526Z 
2022-11-23T01:32:37.9749614Z async_compile.wait(globals())
2022-11-23T01:32:37.9749688Z del async_compile
2022-11-23T01:32:37.9749693Z 
2022-11-23T01:32:37.9749762Z def call(args):
2022-11-23T01:32:37.9749832Z     arg0_1, = args
2022-11-23T01:32:37.9749905Z     args.clear()
2022-11-23T01:32:37.9750113Z     buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:37.9750308Z     buf1 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.int64)
2022-11-23T01:32:37.9750472Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.9750540Z     del arg0_1
2022-11-23T01:32:37.9750619Z     return (buf0, buf1, )
2022-11-23T01:32:37.9750624Z 
2022-11-23T01:32:37.9750630Z 
2022-11-23T01:32:37.9750707Z if __name__ == "__main__":
2022-11-23T01:32:37.9750820Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9750946Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9751157Z     arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9751252Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.9751257Z 
2022-11-23T01:32:37.9751326Z ok (2.653s)
2022-11-23T01:32:37.9751664Z   test_silu_cpu (__main__.CpuTests) ... [2022-11-23 01:26:55,851] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9751934Z [2022-11-23 01:26:55,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9752152Z [2022-11-23 01:26:55,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9752435Z [2022-11-23 01:26:55,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9752724Z [2022-11-23 01:26:55,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9753050Z [2022-11-23 01:26:55,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9753378Z [2022-11-23 01:26:55,852] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64774b0, file "inductor/test_torchinductor.py", line 1036> 
2022-11-23T01:32:37.9753465Z  1037           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.9753557Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:32:37.9753658Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:32:37.9753751Z                6 LOAD_METHOD              3 (silu)
2022-11-23T01:32:37.9753841Z                8 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9753945Z               10 CALL_METHOD              1
2022-11-23T01:32:37.9754036Z               12 BUILD_TUPLE              1
2022-11-23T01:32:37.9754101Z               14 RETURN_VALUE
2022-11-23T01:32:37.9754163Z  
2022-11-23T01:32:37.9754167Z 
2022-11-23T01:32:37.9754434Z [2022-11-23 01:26:55,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1037
2022-11-23T01:32:37.9754653Z [2022-11-23 01:26:55,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.9755013Z [2022-11-23 01:26:55,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.9755393Z [2022-11-23 01:26:55,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.7/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:37.9755792Z [2022-11-23 01:26:55,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR silu [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:37.9756078Z [2022-11-23 01:26:55,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function silu at 0x7f71ce642b90>)]
2022-11-23T01:32:37.9756397Z [2022-11-23 01:26:55,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<function silu at 0x7f71ce642b90>), TensorVariable()]
2022-11-23T01:32:37.9756639Z [2022-11-23 01:26:55,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:37.9756886Z [2022-11-23 01:26:55,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9757307Z [2022-11-23 01:26:55,862] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64774b0, file "inductor/test_torchinductor.py", line 1036>
2022-11-23T01:32:37.9757555Z [2022-11-23 01:26:55,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9757791Z [2022-11-23 01:26:55,862] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9758045Z [2022-11-23 01:26:55,864] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9758291Z [2022-11-23 01:26:55,872] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9758527Z [2022-11-23 01:26:55,873] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9758662Z  __compiled_fn_362 <eval_with_key>.2249 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9758752Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9758867Z call_function, silu, <function silu at 0x7f71ce642b90>, (ex_0_,), {}
2022-11-23T01:32:37.9758966Z output, output, output, ((silu,),), {}
2022-11-23T01:32:37.9758971Z 
2022-11-23T01:32:37.9759297Z [2022-11-23 01:26:55,873] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9759395Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9759485Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9759580Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9759670Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9759748Z               8 RETURN_VALUE
2022-11-23T01:32:37.9759753Z 
2022-11-23T01:32:37.9759803Z  
2022-11-23T01:32:37.9760074Z [2022-11-23 01:26:55,874] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9760180Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_362)
2022-11-23T01:32:37.9760272Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9760363Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9760440Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9760530Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.9760634Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.9760722Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9760814Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9760892Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.9760982Z              18 BUILD_TUPLE              1
2022-11-23T01:32:37.9761059Z              20 RETURN_VALUE
2022-11-23T01:32:37.9761064Z 
2022-11-23T01:32:37.9761126Z  
2022-11-23T01:32:37.9761307Z [2022-11-23 01:26:55,875] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9761363Z  - 
2022-11-23T01:32:37.9761482Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9761547Z             {
2022-11-23T01:32:37.9761729Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9761916Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.9762037Z                 'obj_weakref': None
2022-11-23T01:32:37.9762260Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9762312Z             }
2022-11-23T01:32:37.9762375Z             
2022-11-23T01:32:37.9762442Z  - 
2022-11-23T01:32:37.9762566Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9762629Z             {
2022-11-23T01:32:37.9762771Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9762875Z                 'code': None,
2022-11-23T01:32:37.9763076Z                 'obj_weakref': <weakref at 0x7f7106e10f50; to 'Tensor' at 0x7f70f2e17650>
2022-11-23T01:32:37.9763325Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9763388Z             }
2022-11-23T01:32:37.9763451Z             
2022-11-23T01:32:37.9763519Z  - 
2022-11-23T01:32:37.9763649Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9763714Z             {
2022-11-23T01:32:37.9763836Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9764004Z                 'code': ['___check_obj_id(model, 140123418592032)'],
2022-11-23T01:32:37.9764122Z                 'obj_weakref': None
2022-11-23T01:32:37.9764347Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9764411Z             }
2022-11-23T01:32:37.9764475Z             
2022-11-23T01:32:37.9764542Z  - 
2022-11-23T01:32:37.9764652Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9764744Z             {
2022-11-23T01:32:37.9764879Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9765095Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9765211Z                 'obj_weakref': None
2022-11-23T01:32:37.9765427Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9765488Z             }
2022-11-23T01:32:37.9765563Z             
2022-11-23T01:32:37.9765632Z  - 
2022-11-23T01:32:37.9765763Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.9765824Z             {
2022-11-23T01:32:37.9765942Z                 'guard_types': None,
2022-11-23T01:32:37.9766045Z                 'code': None,
2022-11-23T01:32:37.9766159Z                 'obj_weakref': None
2022-11-23T01:32:37.9766267Z                 'guarded_class': None
2022-11-23T01:32:37.9766329Z             }
2022-11-23T01:32:37.9766389Z             
2022-11-23T01:32:37.9766648Z [2022-11-23 01:26:55,889] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 355
2022-11-23T01:32:37.9767020Z [2022-11-23 01:26:58,450] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ev/cevfc4zfet6glcjtdbthxbn2vv7hlxb4nhym4zcgqvwsjlla52ey.py
2022-11-23T01:32:37.9767281Z [2022-11-23 01:26:58,450] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 355
2022-11-23T01:32:37.9767286Z 
2022-11-23T01:32:37.9767381Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9767447Z import torch
2022-11-23T01:32:37.9767503Z import random
2022-11-23T01:32:37.9767615Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9767735Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9767740Z 
2022-11-23T01:32:37.9767817Z aten = torch.ops.aten
2022-11-23T01:32:37.9767948Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9768040Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9768048Z 
2022-11-23T01:32:37.9768052Z 
2022-11-23T01:32:37.9768182Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9768386Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9768491Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9768590Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.9768650Z {
2022-11-23T01:32:37.9768749Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9768810Z     {
2022-11-23T01:32:37.9768884Z         #pragma omp for 
2022-11-23T01:32:37.9768965Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.9769015Z         {
2022-11-23T01:32:37.9769149Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.9769281Z             auto tmp1 = decltype(tmp0)(1)/(decltype(tmp0)(1) + tmp0.neg().exp());
2022-11-23T01:32:37.9769366Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:37.9769463Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.9769526Z         }
2022-11-23T01:32:37.9769619Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.9769689Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:37.9769750Z         {
2022-11-23T01:32:37.9769833Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.9769965Z             auto tmp1 = std::exp(-tmp0);
2022-11-23T01:32:37.9770046Z             auto tmp2 = 1 / (1 + tmp1);
2022-11-23T01:32:37.9770131Z             auto tmp3 = tmp0 * tmp2;
2022-11-23T01:32:37.9770208Z             out_ptr0[i0] = tmp3;
2022-11-23T01:32:37.9770258Z         }
2022-11-23T01:32:37.9770320Z     }
2022-11-23T01:32:37.9770382Z }
2022-11-23T01:32:37.9770459Z ''')
2022-11-23T01:32:37.9770464Z 
2022-11-23T01:32:37.9770468Z 
2022-11-23T01:32:37.9770555Z async_compile.wait(globals())
2022-11-23T01:32:37.9770626Z del async_compile
2022-11-23T01:32:37.9770630Z 
2022-11-23T01:32:37.9770700Z def call(args):
2022-11-23T01:32:37.9770756Z     arg0_1, = args
2022-11-23T01:32:37.9770857Z     args.clear()
2022-11-23T01:32:37.9771054Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9771184Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.9771253Z     del arg0_1
2022-11-23T01:32:37.9771322Z     return (buf0, )
2022-11-23T01:32:37.9771327Z 
2022-11-23T01:32:37.9771331Z 
2022-11-23T01:32:37.9771410Z if __name__ == "__main__":
2022-11-23T01:32:37.9771536Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9771662Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9771856Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9771961Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.9771966Z 
2022-11-23T01:32:37.9772031Z ok (2.611s)
2022-11-23T01:32:37.9772350Z   test_simplify_loops_cpu (__main__.CpuTests) ... [2022-11-23 01:26:58,466] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9772621Z [2022-11-23 01:26:58,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9772838Z [2022-11-23 01:26:58,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9773090Z [2022-11-23 01:26:58,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9773363Z [2022-11-23 01:26:58,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9773683Z [2022-11-23 01:26:58,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9774008Z [2022-11-23 01:26:58,467] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f647bd20, file "inductor/test_torchinductor.py", line 1281> 
2022-11-23T01:32:37.9774100Z  1282           0 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9774192Z                2 LOAD_FAST                1 (b)
2022-11-23T01:32:37.9774265Z                4 BINARY_ADD
2022-11-23T01:32:37.9774340Z                6 RETURN_VALUE
2022-11-23T01:32:37.9774400Z  
2022-11-23T01:32:37.9774405Z 
2022-11-23T01:32:37.9774659Z [2022-11-23 01:26:58,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1282
2022-11-23T01:32:37.9774870Z [2022-11-23 01:26:58,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.9775104Z [2022-11-23 01:26:58,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:37.9775376Z [2022-11-23 01:26:58,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9775620Z [2022-11-23 01:26:58,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9775952Z [2022-11-23 01:26:58,471] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f647bd20, file "inductor/test_torchinductor.py", line 1281>
2022-11-23T01:32:37.9776198Z [2022-11-23 01:26:58,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9776429Z [2022-11-23 01:26:58,471] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9776682Z [2022-11-23 01:26:58,473] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9776928Z [2022-11-23 01:26:58,484] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9777103Z [2022-11-23 01:26:58,485] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9777236Z  __compiled_fn_363 <eval_with_key>.2255 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9777325Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9777409Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.9777616Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:37.9777710Z output, output, output, ((add,),), {}
2022-11-23T01:32:37.9777715Z 
2022-11-23T01:32:37.9777991Z [2022-11-23 01:26:58,485] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9778084Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9778188Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9778282Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9778371Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9778446Z               8 RETURN_VALUE
2022-11-23T01:32:37.9778451Z 
2022-11-23T01:32:37.9778510Z  
2022-11-23T01:32:37.9778781Z [2022-11-23 01:26:58,485] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9778889Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_363)
2022-11-23T01:32:37.9778968Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9779054Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9779129Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9779215Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9779301Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9779379Z              12 BINARY_SUBSCR
2022-11-23T01:32:37.9779465Z              14 CALL_FUNCTION            2
2022-11-23T01:32:37.9779546Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.9779620Z              18 RETURN_VALUE
2022-11-23T01:32:37.9779625Z 
2022-11-23T01:32:37.9779683Z  
2022-11-23T01:32:37.9779868Z [2022-11-23 01:26:58,487] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9779937Z  - 
2022-11-23T01:32:37.9780055Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9780118Z             {
2022-11-23T01:32:37.9780246Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9780433Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:37.9780553Z                 'obj_weakref': None
2022-11-23T01:32:37.9780777Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9780840Z             }
2022-11-23T01:32:37.9780902Z             
2022-11-23T01:32:37.9780968Z  - 
2022-11-23T01:32:37.9781079Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9781143Z             {
2022-11-23T01:32:37.9781283Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9781386Z                 'code': None,
2022-11-23T01:32:37.9781594Z                 'obj_weakref': <weakref at 0x7f7106a3d290; to 'Tensor' at 0x7f71c467def0>
2022-11-23T01:32:37.9781842Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9781904Z             }
2022-11-23T01:32:37.9781966Z             
2022-11-23T01:32:37.9782023Z  - 
2022-11-23T01:32:37.9782145Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:37.9782207Z             {
2022-11-23T01:32:37.9782347Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9782451Z                 'code': None,
2022-11-23T01:32:37.9782659Z                 'obj_weakref': <weakref at 0x7f70f2d72e30; to 'Tensor' at 0x7f71067886b0>
2022-11-23T01:32:37.9782908Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9782958Z             }
2022-11-23T01:32:37.9783019Z             
2022-11-23T01:32:37.9783087Z  - 
2022-11-23T01:32:37.9783216Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9783279Z             {
2022-11-23T01:32:37.9783411Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9783566Z                 'code': ['___check_obj_id(model, 140123416076368)'],
2022-11-23T01:32:37.9783682Z                 'obj_weakref': None
2022-11-23T01:32:37.9783907Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9784002Z             }
2022-11-23T01:32:37.9784063Z             
2022-11-23T01:32:37.9784132Z  - 
2022-11-23T01:32:37.9784252Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9784302Z             {
2022-11-23T01:32:37.9784509Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9784775Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9784894Z                 'obj_weakref': None
2022-11-23T01:32:37.9785112Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9785175Z             }
2022-11-23T01:32:37.9785241Z             
2022-11-23T01:32:37.9785500Z [2022-11-23 01:26:58,499] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 356
2022-11-23T01:32:37.9785854Z [2022-11-23 01:27:01,100] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cg/ccgb5d44dsin4lmsmqj5zvh6wlrg5d6mckdrvzad55tkzeutjgdl.py
2022-11-23T01:32:37.9786119Z [2022-11-23 01:27:01,100] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 356
2022-11-23T01:32:37.9786125Z 
2022-11-23T01:32:37.9786219Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9786289Z import torch
2022-11-23T01:32:37.9786359Z import random
2022-11-23T01:32:37.9786476Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9786597Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9786602Z 
2022-11-23T01:32:37.9786679Z aten = torch.ops.aten
2022-11-23T01:32:37.9786800Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9786892Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9786897Z 
2022-11-23T01:32:37.9786902Z 
2022-11-23T01:32:37.9787037Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9787244Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9787367Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9787470Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:37.9787567Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.9787627Z {
2022-11-23T01:32:37.9787713Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9787772Z     {
2022-11-23T01:32:37.9787862Z         #pragma omp for  collapse(2)
2022-11-23T01:32:37.9787945Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:37.9788006Z         {
2022-11-23T01:32:37.9788088Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:37.9788139Z             {
2022-11-23T01:32:37.9788225Z                 for(long i2=0; i2<1; i2+=1)
2022-11-23T01:32:37.9788288Z                 {
2022-11-23T01:32:37.9788439Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (16*i2) + (30*i1) + (120*i0));
2022-11-23T01:32:37.9788591Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (16*i2) + (30*i0) + (180*i1));
2022-11-23T01:32:37.9788685Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.9788797Z                     tmp2.store(out_ptr0 + (16*i2) + (30*i1) + (120*i0));
2022-11-23T01:32:37.9788862Z                 }
2022-11-23T01:32:37.9788948Z                 #pragma omp simd simdlen(8) 
2022-11-23T01:32:37.9789036Z                 for(long i2=16; i2<30; i2+=1)
2022-11-23T01:32:37.9789105Z                 {
2022-11-23T01:32:37.9789209Z                     auto tmp0 = in_ptr0[i2 + (30*i1) + (120*i0)];
2022-11-23T01:32:37.9789315Z                     auto tmp1 = in_ptr1[i2 + (30*i0) + (180*i1)];
2022-11-23T01:32:37.9789426Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.9789524Z                     out_ptr0[i2 + (30*i1) + (120*i0)] = tmp2;
2022-11-23T01:32:37.9789578Z                 }
2022-11-23T01:32:37.9789644Z             }
2022-11-23T01:32:37.9789712Z         }
2022-11-23T01:32:37.9789808Z     }
2022-11-23T01:32:37.9789868Z }
2022-11-23T01:32:37.9789948Z ''')
2022-11-23T01:32:37.9789953Z 
2022-11-23T01:32:37.9789957Z 
2022-11-23T01:32:37.9790046Z async_compile.wait(globals())
2022-11-23T01:32:37.9790107Z del async_compile
2022-11-23T01:32:37.9790125Z 
2022-11-23T01:32:37.9790182Z def call(args):
2022-11-23T01:32:37.9790258Z     arg0_1, arg1_1 = args
2022-11-23T01:32:37.9790330Z     args.clear()
2022-11-23T01:32:37.9790586Z     buf0 = empty_strided((2, 3, 4, 5, 6), (360, 120, 30, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9790754Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.9790826Z     del arg0_1
2022-11-23T01:32:37.9790893Z     del arg1_1
2022-11-23T01:32:37.9790951Z     return (buf0, )
2022-11-23T01:32:37.9790957Z 
2022-11-23T01:32:37.9790961Z 
2022-11-23T01:32:37.9791037Z if __name__ == "__main__":
2022-11-23T01:32:37.9791151Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9791277Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9791502Z     arg0_1 = rand_strided((2, 3, 4, 5, 6), (360, 120, 30, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9791726Z     arg1_1 = rand_strided((2, 3, 4, 5, 6), (90, 30, 180, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9791842Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:37.9791847Z 
2022-11-23T01:32:37.9791914Z ok (2.651s)
2022-11-23T01:32:37.9792202Z   test_sin_cpu (__main__.CpuTests) ... [2022-11-23 01:27:01,114] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9792474Z [2022-11-23 01:27:01,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9792692Z [2022-11-23 01:27:01,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9792947Z [2022-11-23 01:27:01,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9793237Z [2022-11-23 01:27:01,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9793562Z [2022-11-23 01:27:01,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9793889Z [2022-11-23 01:27:01,115] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f640f930, file "inductor/test_torchinductor.py", line 2143> 
2022-11-23T01:32:37.9793988Z  2144           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.9794083Z                2 LOAD_METHOD              1 (sin)
2022-11-23T01:32:37.9794162Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:37.9794265Z                6 CALL_METHOD              1
2022-11-23T01:32:37.9794356Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:37.9794433Z               10 BINARY_ADD
2022-11-23T01:32:37.9794531Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.9794624Z               14 LOAD_METHOD              1 (sin)
2022-11-23T01:32:37.9794714Z               16 LOAD_FAST                0 (x)
2022-11-23T01:32:37.9794787Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9794861Z               20 BINARY_ADD
2022-11-23T01:32:37.9794948Z               22 CALL_METHOD              1
2022-11-23T01:32:37.9795036Z               24 BUILD_TUPLE              2
2022-11-23T01:32:37.9795113Z               26 RETURN_VALUE
2022-11-23T01:32:37.9795176Z  
2022-11-23T01:32:37.9795181Z 
2022-11-23T01:32:37.9795449Z [2022-11-23 01:27:01,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2144
2022-11-23T01:32:37.9795664Z [2022-11-23 01:27:01,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.9795955Z [2022-11-23 01:27:01,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sin [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.9796232Z [2022-11-23 01:27:01,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.sin)]
2022-11-23T01:32:37.9796516Z [2022-11-23 01:27:01,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.sin), TensorVariable()]
2022-11-23T01:32:37.9796750Z [2022-11-23 01:27:01,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:37.9797056Z [2022-11-23 01:27:01,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9797475Z [2022-11-23 01:27:01,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:37.9797809Z [2022-11-23 01:27:01,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sin [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.9798081Z [2022-11-23 01:27:01,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.sin)]
2022-11-23T01:32:37.9798387Z [2022-11-23 01:27:01,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.sin), TensorVariable()]
2022-11-23T01:32:37.9798738Z [2022-11-23 01:27:01,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.sin), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9799037Z [2022-11-23 01:27:01,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.sin), TensorVariable()]
2022-11-23T01:32:37.9804536Z [2022-11-23 01:27:01,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9804816Z [2022-11-23 01:27:01,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9805154Z [2022-11-23 01:27:01,158] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f640f930, file "inductor/test_torchinductor.py", line 2143>
2022-11-23T01:32:37.9805405Z [2022-11-23 01:27:01,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9805642Z [2022-11-23 01:27:01,158] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9805899Z [2022-11-23 01:27:01,160] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9806151Z [2022-11-23 01:27:01,170] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9806340Z [2022-11-23 01:27:01,171] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9806462Z  __compiled_fn_364 <eval_with_key>.2261 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9806553Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9806652Z call_function, sin, aten.sin, (ex_0_,), {}
2022-11-23T01:32:37.9806822Z call_function, add, <built-in function add>, (sin, 2), {}
2022-11-23T01:32:37.9806995Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.9807096Z call_function, sin_1, aten.sin, (add_1,), {}
2022-11-23T01:32:37.9807199Z output, output, output, ((add, sin_1),), {}
2022-11-23T01:32:37.9807206Z 
2022-11-23T01:32:37.9807484Z [2022-11-23 01:27:01,171] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9807568Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9807656Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9807748Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9807841Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9807917Z               8 RETURN_VALUE
2022-11-23T01:32:37.9807923Z 
2022-11-23T01:32:37.9807985Z  
2022-11-23T01:32:37.9808257Z [2022-11-23 01:27:01,171] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9808461Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_364)
2022-11-23T01:32:37.9808538Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9808626Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9808706Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9808797Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.9808957Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.9809059Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9809149Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9809214Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.9809314Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9809403Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9809479Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.9809568Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.9809645Z              26 RETURN_VALUE
2022-11-23T01:32:37.9809651Z 
2022-11-23T01:32:37.9809712Z  
2022-11-23T01:32:37.9809884Z [2022-11-23 01:27:01,173] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9809953Z  - 
2022-11-23T01:32:37.9810071Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9810137Z             {
2022-11-23T01:32:37.9810277Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9810465Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.9810590Z                 'obj_weakref': None
2022-11-23T01:32:37.9810800Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9810864Z             }
2022-11-23T01:32:37.9810927Z             
2022-11-23T01:32:37.9810999Z  - 
2022-11-23T01:32:37.9811123Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9811184Z             {
2022-11-23T01:32:37.9811325Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9811422Z                 'code': None,
2022-11-23T01:32:37.9811632Z                 'obj_weakref': <weakref at 0x7f70f29442f0; to 'Tensor' at 0x7f7106c86c50>
2022-11-23T01:32:37.9811881Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9811945Z             }
2022-11-23T01:32:37.9812009Z             
2022-11-23T01:32:37.9812077Z  - 
2022-11-23T01:32:37.9812211Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9812262Z             {
2022-11-23T01:32:37.9812398Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9812569Z                 'code': ['___check_obj_id(model, 140123087965504)'],
2022-11-23T01:32:37.9812687Z                 'obj_weakref': None
2022-11-23T01:32:37.9812916Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9812978Z             }
2022-11-23T01:32:37.9813042Z             
2022-11-23T01:32:37.9813098Z  - 
2022-11-23T01:32:37.9813222Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9813286Z             {
2022-11-23T01:32:37.9813422Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9813637Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9813754Z                 'obj_weakref': None
2022-11-23T01:32:37.9813971Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9814022Z             }
2022-11-23T01:32:37.9814085Z             
2022-11-23T01:32:37.9814152Z  - 
2022-11-23T01:32:37.9814281Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:37.9814345Z             {
2022-11-23T01:32:37.9814462Z                 'guard_types': None,
2022-11-23T01:32:37.9814569Z                 'code': None,
2022-11-23T01:32:37.9814673Z                 'obj_weakref': None
2022-11-23T01:32:37.9814791Z                 'guarded_class': None
2022-11-23T01:32:37.9814925Z             }
2022-11-23T01:32:37.9814988Z             
2022-11-23T01:32:37.9815249Z [2022-11-23 01:27:01,192] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 357
2022-11-23T01:32:37.9815622Z [2022-11-23 01:27:03,747] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lt/cltqigqfwjzcahwtgrz6vdksw6kdhgizs2sn2lofizo45hf4vqoi.py
2022-11-23T01:32:37.9815912Z [2022-11-23 01:27:03,748] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 357
2022-11-23T01:32:37.9815918Z 
2022-11-23T01:32:37.9816012Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9816068Z import torch
2022-11-23T01:32:37.9816136Z import random
2022-11-23T01:32:37.9816250Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9816374Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9816379Z 
2022-11-23T01:32:37.9816463Z aten = torch.ops.aten
2022-11-23T01:32:37.9816600Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9816692Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9816698Z 
2022-11-23T01:32:37.9816702Z 
2022-11-23T01:32:37.9816837Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9817027Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9817146Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9817249Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.9817346Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.9817406Z {
2022-11-23T01:32:37.9817504Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9817564Z     {
2022-11-23T01:32:37.9817629Z         #pragma omp for 
2022-11-23T01:32:37.9817711Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:37.9817773Z         {
2022-11-23T01:32:37.9817912Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:37.9818002Z             auto tmp1 = tmp0.sin();
2022-11-23T01:32:37.9818135Z             auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:37.9818219Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:37.9818337Z             auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.9818418Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:32:37.9818498Z             auto tmp6 = tmp5.sin();
2022-11-23T01:32:37.9818591Z             tmp3.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.9818684Z             tmp6.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.9818749Z         }
2022-11-23T01:32:37.9818846Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.9818916Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:37.9818977Z         {
2022-11-23T01:32:37.9819058Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:37.9819148Z             auto tmp1 = std::sin(tmp0);
2022-11-23T01:32:37.9819247Z             auto tmp2 = static_cast<float>(2);
2022-11-23T01:32:37.9819333Z             auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:37.9819429Z             auto tmp4 = static_cast<float>(1);
2022-11-23T01:32:37.9819498Z             auto tmp5 = tmp0 + tmp4;
2022-11-23T01:32:37.9819585Z             auto tmp6 = std::sin(tmp5);
2022-11-23T01:32:37.9819665Z             out_ptr0[i0] = tmp3;
2022-11-23T01:32:37.9819742Z             out_ptr1[i0] = tmp6;
2022-11-23T01:32:37.9819804Z         }
2022-11-23T01:32:37.9819865Z     }
2022-11-23T01:32:37.9819927Z }
2022-11-23T01:32:37.9819992Z ''')
2022-11-23T01:32:37.9819997Z 
2022-11-23T01:32:37.9820001Z 
2022-11-23T01:32:37.9820092Z async_compile.wait(globals())
2022-11-23T01:32:37.9820162Z del async_compile
2022-11-23T01:32:37.9820167Z 
2022-11-23T01:32:37.9820236Z def call(args):
2022-11-23T01:32:37.9820305Z     arg0_1, = args
2022-11-23T01:32:37.9820378Z     args.clear()
2022-11-23T01:32:37.9820577Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9820796Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9820960Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.9821029Z     del arg0_1
2022-11-23T01:32:37.9821106Z     return (buf0, buf1, )
2022-11-23T01:32:37.9821111Z 
2022-11-23T01:32:37.9821115Z 
2022-11-23T01:32:37.9821194Z if __name__ == "__main__":
2022-11-23T01:32:37.9821307Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9821456Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9821655Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9821749Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.9821766Z 
2022-11-23T01:32:37.9821819Z ok (2.648s)
2022-11-23T01:32:37.9822138Z   test_sizehint_issue1_cpu (__main__.CpuTests) ... [2022-11-23 01:27:03,775] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9822410Z [2022-11-23 01:27:03,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9822629Z [2022-11-23 01:27:03,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9822885Z [2022-11-23 01:27:03,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9823172Z [2022-11-23 01:27:03,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9823493Z [2022-11-23 01:27:03,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9823825Z [2022-11-23 01:27:03,776] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f63cad20, file "inductor/test_torchinductor.py", line 4498> 
2022-11-23T01:32:37.9823924Z  4499           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.9824006Z                2 LOAD_ATTR                1 (nn)
2022-11-23T01:32:37.9824106Z                4 LOAD_ATTR                2 (functional)
2022-11-23T01:32:37.9824197Z                6 LOAD_ATTR                3 (unfold)
2022-11-23T01:32:37.9824202Z 
2022-11-23T01:32:37.9824291Z 4500           8 LOAD_FAST                0 (x)
2022-11-23T01:32:37.9824381Z               10 LOAD_CONST               1 (4)
2022-11-23T01:32:37.9824566Z               12 LOAD_CONST               1 (4)
2022-11-23T01:32:37.9824657Z               14 BUILD_LIST               2
2022-11-23T01:32:37.9824734Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9824819Z               18 LOAD_CONST               3 (0)
2022-11-23T01:32:37.9824908Z               20 LOAD_CONST               1 (4)
2022-11-23T01:32:37.9824993Z               22 LOAD_CONST               1 (4)
2022-11-23T01:32:37.9825084Z               24 BUILD_LIST               2
2022-11-23T01:32:37.9825294Z               26 LOAD_CONST               4 (('kernel_size', 'dilation', 'padding', 'stride'))
2022-11-23T01:32:37.9825387Z               28 CALL_FUNCTION_KW         5
2022-11-23T01:32:37.9825465Z               30 RETURN_VALUE
2022-11-23T01:32:37.9825512Z  
2022-11-23T01:32:37.9825517Z 
2022-11-23T01:32:37.9825788Z [2022-11-23 01:27:03,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4499
2022-11-23T01:32:37.9826009Z [2022-11-23 01:27:03,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.9826370Z [2022-11-23 01:27:03,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.9826754Z [2022-11-23 01:27:03,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable(<module 'torch.nn' from '/opt/conda/lib/python3.7/site-packages/torch/nn/__init__.py'>)]
2022-11-23T01:32:37.9827154Z [2022-11-23 01:27:03,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unfold [TorchVariable(<module 'torch.nn.functional' from '/opt/conda/lib/python3.7/site-packages/torch/nn/functional.py'>)]
2022-11-23T01:32:37.9827457Z [2022-11-23 01:27:03,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4500
2022-11-23T01:32:37.9827746Z [2022-11-23 01:27:03,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<function unfold at 0x7f71ce5bd9e0>)]
2022-11-23T01:32:37.9828092Z [2022-11-23 01:27:03,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<function unfold at 0x7f71ce5bd9e0>), TensorVariable()]
2022-11-23T01:32:37.9828450Z [2022-11-23 01:27:03,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<function unfold at 0x7f71ce5bd9e0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9828836Z [2022-11-23 01:27:03,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(<function unfold at 0x7f71ce5bd9e0>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9829164Z [2022-11-23 01:27:03,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<function unfold at 0x7f71ce5bd9e0>), TensorVariable(), ListVariable()]
2022-11-23T01:32:37.9829543Z [2022-11-23 01:27:03,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(<function unfold at 0x7f71ce5bd9e0>), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9829958Z [2022-11-23 01:27:03,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<function unfold at 0x7f71ce5bd9e0>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9830409Z [2022-11-23 01:27:03,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(<function unfold at 0x7f71ce5bd9e0>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9830896Z [2022-11-23 01:27:03,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(<function unfold at 0x7f71ce5bd9e0>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9831408Z [2022-11-23 01:27:03,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('kernel_size', 'dilation', 'padding', 'stride') [TorchVariable(<function unfold at 0x7f71ce5bd9e0>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ListVariable()]
2022-11-23T01:32:37.9831896Z [2022-11-23 01:27:03,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(<function unfold at 0x7f71ce5bd9e0>), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:37.9832143Z [2022-11-23 01:27:03,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9832484Z [2022-11-23 01:27:03,811] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f63cad20, file "inductor/test_torchinductor.py", line 4498>
2022-11-23T01:32:37.9832729Z [2022-11-23 01:27:03,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9832963Z [2022-11-23 01:27:03,812] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9833218Z [2022-11-23 01:27:03,814] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9833464Z [2022-11-23 01:27:03,843] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9833639Z [2022-11-23 01:27:03,843] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9833773Z  __compiled_fn_365 <eval_with_key>.2267 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9833863Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9834185Z call_function, unfold, <function unfold at 0x7f71ce5bd9e0>, (ex_0_,), {'kernel_size': [4, 4], 'dilation': 1, 'padding': 0, 'stride': [4, 4]}
2022-11-23T01:32:37.9834284Z output, output, output, ((unfold,),), {}
2022-11-23T01:32:37.9834290Z 
2022-11-23T01:32:37.9834565Z [2022-11-23 01:27:03,844] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9834686Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9834778Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9834859Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9834948Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9835023Z               8 RETURN_VALUE
2022-11-23T01:32:37.9835028Z 
2022-11-23T01:32:37.9835089Z  
2022-11-23T01:32:37.9835362Z [2022-11-23 01:27:03,844] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9835472Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_365)
2022-11-23T01:32:37.9835560Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9835649Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9835712Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9835799Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.9835889Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:37.9835967Z              12 RETURN_VALUE
2022-11-23T01:32:37.9835971Z 
2022-11-23T01:32:37.9836033Z  
2022-11-23T01:32:37.9836217Z [2022-11-23 01:27:03,846] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9836288Z  - 
2022-11-23T01:32:37.9836393Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9836458Z             {
2022-11-23T01:32:37.9836600Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9836787Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.9836911Z                 'obj_weakref': None
2022-11-23T01:32:37.9837283Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9837349Z             }
2022-11-23T01:32:37.9837400Z             
2022-11-23T01:32:37.9837471Z  - 
2022-11-23T01:32:37.9837596Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9837661Z             {
2022-11-23T01:32:37.9837805Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9837916Z                 'code': None,
2022-11-23T01:32:37.9838128Z                 'obj_weakref': <weakref at 0x7f7106d4af50; to 'Tensor' at 0x7f7106a47dd0>
2022-11-23T01:32:37.9838364Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9838431Z             }
2022-11-23T01:32:37.9838496Z             
2022-11-23T01:32:37.9838566Z  - 
2022-11-23T01:32:37.9838697Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9838763Z             {
2022-11-23T01:32:37.9838900Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9839056Z                 'code': ['___check_obj_id(model, 140126565022176)'],
2022-11-23T01:32:37.9839177Z                 'obj_weakref': None
2022-11-23T01:32:37.9839406Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9839472Z             }
2022-11-23T01:32:37.9839536Z             
2022-11-23T01:32:37.9839605Z  - 
2022-11-23T01:32:37.9839731Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9839781Z             {
2022-11-23T01:32:37.9839918Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9840135Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9840253Z                 'obj_weakref': None
2022-11-23T01:32:37.9840470Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9840589Z             }
2022-11-23T01:32:37.9840653Z             
2022-11-23T01:32:37.9840709Z  - 
2022-11-23T01:32:37.9840843Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.9840907Z             {
2022-11-23T01:32:37.9841027Z                 'guard_types': None,
2022-11-23T01:32:37.9841135Z                 'code': None,
2022-11-23T01:32:37.9841251Z                 'obj_weakref': None
2022-11-23T01:32:37.9841371Z                 'guarded_class': None
2022-11-23T01:32:37.9841422Z             }
2022-11-23T01:32:37.9841520Z             
2022-11-23T01:32:37.9841781Z [2022-11-23 01:27:03,896] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 358
2022-11-23T01:32:37.9842156Z [2022-11-23 01:27:06,595] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pn/cpn4cpowxerwglhpdecwv6kp4wphuxw34secpvicsalz44baa3df.py
2022-11-23T01:32:37.9842423Z [2022-11-23 01:27:06,596] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 358
2022-11-23T01:32:37.9842431Z 
2022-11-23T01:32:37.9842526Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9842597Z import torch
2022-11-23T01:32:37.9842665Z import random
2022-11-23T01:32:37.9842767Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9842890Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9842896Z 
2022-11-23T01:32:37.9842976Z aten = torch.ops.aten
2022-11-23T01:32:37.9843111Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9843203Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9843208Z 
2022-11-23T01:32:37.9843213Z 
2022-11-23T01:32:37.9843348Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9843554Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9843673Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9843760Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:37.9843822Z {
2022-11-23T01:32:37.9843921Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9843985Z     {
2022-11-23T01:32:37.9844064Z         #pragma omp for 
2022-11-23T01:32:37.9844147Z         for(long i0=0; i0<48; i0+=1)
2022-11-23T01:32:37.9844210Z         {
2022-11-23T01:32:37.9844277Z             #pragma GCC ivdep
2022-11-23T01:32:37.9844359Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:37.9844421Z             {
2022-11-23T01:32:37.9844501Z                 #pragma GCC ivdep
2022-11-23T01:32:37.9844591Z                 for(long i2=0; i2<4; i2+=1)
2022-11-23T01:32:37.9844661Z                 {
2022-11-23T01:32:37.9844732Z                     #pragma GCC ivdep
2022-11-23T01:32:37.9844824Z                     for(long i3=0; i3<14; i3+=1)
2022-11-23T01:32:37.9844889Z                     {
2022-11-23T01:32:37.9844973Z                         #pragma GCC ivdep
2022-11-23T01:32:37.9845066Z                         for(long i4=0; i4<14; i4+=1)
2022-11-23T01:32:37.9845139Z                         {
2022-11-23T01:32:37.9845210Z                             {
2022-11-23T01:32:37.9845269Z                                 {
2022-11-23T01:32:37.9845381Z                                     auto tmp0 = static_cast<long>(4*i3);
2022-11-23T01:32:37.9845492Z                                     auto tmp1 = static_cast<long>(i1);
2022-11-23T01:32:37.9845591Z                                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.9845700Z                                     auto tmp3 = static_cast<long>(4*i4);
2022-11-23T01:32:37.9845810Z                                     auto tmp4 = static_cast<long>(i2);
2022-11-23T01:32:37.9845909Z                                     auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:37.9846028Z                                     auto tmp6 = in_ptr0[tmp5 + (56*tmp2) + (3136*i0)];
2022-11-23T01:32:37.9846136Z                                     out_ptr0[i4 + (14*i3) + (196*i2) + (784*i1) + (3136*i0)] = tmp6;
2022-11-23T01:32:37.9846210Z                                 }
2022-11-23T01:32:37.9846315Z                             }
2022-11-23T01:32:37.9846381Z                         }
2022-11-23T01:32:37.9846447Z                     }
2022-11-23T01:32:37.9846509Z                 }
2022-11-23T01:32:37.9846573Z             }
2022-11-23T01:32:37.9846623Z         }
2022-11-23T01:32:37.9846684Z     }
2022-11-23T01:32:37.9846744Z }
2022-11-23T01:32:37.9846821Z ''')
2022-11-23T01:32:37.9846827Z 
2022-11-23T01:32:37.9846831Z 
2022-11-23T01:32:37.9846919Z async_compile.wait(globals())
2022-11-23T01:32:37.9847017Z del async_compile
2022-11-23T01:32:37.9847022Z 
2022-11-23T01:32:37.9847091Z def call(args):
2022-11-23T01:32:37.9847148Z     arg0_1, = args
2022-11-23T01:32:37.9847219Z     args.clear()
2022-11-23T01:32:37.9847464Z     buf0 = empty_strided((2, 24, 4, 4, 14, 14), (75264, 3136, 784, 196, 14, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9847600Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:37.9847669Z     del arg0_1
2022-11-23T01:32:37.9847779Z     return (as_strided(buf0, (2, 384, 196), (75264, 196, 1)), )
2022-11-23T01:32:37.9847785Z 
2022-11-23T01:32:37.9847789Z 
2022-11-23T01:32:37.9847865Z if __name__ == "__main__":
2022-11-23T01:32:37.9847978Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9848087Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9848309Z     arg0_1 = rand_strided((2, 24, 56, 56), (75264, 3136, 56, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9848417Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.9848422Z 
2022-11-23T01:32:37.9848492Z ok (2.939s)
2022-11-23T01:32:37.9848796Z   test_slice1_cpu (__main__.CpuTests) ... [2022-11-23 01:27:06,703] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9849066Z [2022-11-23 01:27:06,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9849285Z [2022-11-23 01:27:06,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9849538Z [2022-11-23 01:27:06,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9849823Z [2022-11-23 01:27:06,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9850137Z [2022-11-23 01:27:06,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9850462Z [2022-11-23 01:27:06,704] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6406030, file "inductor/test_torchinductor.py", line 1673> 
2022-11-23T01:32:37.9850555Z  1675           0 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9850649Z                2 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9850737Z                4 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9850823Z                6 BUILD_SLICE              2
2022-11-23T01:32:37.9850916Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9851004Z               10 LOAD_CONST               1 (10)
2022-11-23T01:32:37.9851079Z               12 BUILD_SLICE              2
2022-11-23T01:32:37.9851168Z               14 LOAD_CONST               2 (0)
2022-11-23T01:32:37.9851259Z               16 BUILD_TUPLE              3
2022-11-23T01:32:37.9851338Z               18 BINARY_SUBSCR
2022-11-23T01:32:37.9851428Z               20 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9851518Z               22 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9851605Z               24 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9851678Z               26 BUILD_SLICE              2
2022-11-23T01:32:37.9851769Z               28 LOAD_CONST               1 (10)
2022-11-23T01:32:37.9851857Z               30 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9851941Z               32 BUILD_SLICE              2
2022-11-23T01:32:37.9852028Z               34 LOAD_CONST               2 (0)
2022-11-23T01:32:37.9852147Z               36 BUILD_TUPLE              3
2022-11-23T01:32:37.9852225Z               38 BINARY_SUBSCR
2022-11-23T01:32:37.9852286Z               40 BINARY_ADD
2022-11-23T01:32:37.9852290Z 
2022-11-23T01:32:37.9852383Z 1676          42 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9852469Z               44 LOAD_CONST               3 (1)
2022-11-23T01:32:37.9852541Z               46 BINARY_ADD
2022-11-23T01:32:37.9852673Z               48 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9852761Z               50 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9852848Z               52 BUILD_SLICE              2
2022-11-23T01:32:37.9852937Z               54 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9853012Z               56 LOAD_CONST               1 (10)
2022-11-23T01:32:37.9853097Z               58 BUILD_SLICE              2
2022-11-23T01:32:37.9853184Z               60 LOAD_CONST               2 (0)
2022-11-23T01:32:37.9853271Z               62 BUILD_TUPLE              3
2022-11-23T01:32:37.9853347Z               64 BINARY_SUBSCR
2022-11-23T01:32:37.9853432Z               66 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9853518Z               68 LOAD_CONST               3 (1)
2022-11-23T01:32:37.9853577Z               70 BINARY_ADD
2022-11-23T01:32:37.9853668Z               72 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9853756Z               74 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9853843Z               76 BUILD_SLICE              2
2022-11-23T01:32:37.9853931Z               78 LOAD_CONST               1 (10)
2022-11-23T01:32:37.9854018Z               80 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9854102Z               82 BUILD_SLICE              2
2022-11-23T01:32:37.9854176Z               84 LOAD_CONST               2 (0)
2022-11-23T01:32:37.9854260Z               86 BUILD_TUPLE              3
2022-11-23T01:32:37.9854336Z               88 BINARY_SUBSCR
2022-11-23T01:32:37.9854409Z               90 BINARY_ADD
2022-11-23T01:32:37.9854494Z               92 BUILD_TUPLE              2
2022-11-23T01:32:37.9854568Z               94 RETURN_VALUE
2022-11-23T01:32:37.9854629Z  
2022-11-23T01:32:37.9854633Z 
2022-11-23T01:32:37.9854893Z [2022-11-23 01:27:06,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1675
2022-11-23T01:32:37.9855103Z [2022-11-23 01:27:06,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.9855347Z [2022-11-23 01:27:06,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()]
2022-11-23T01:32:37.9855636Z [2022-11-23 01:27:06,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9855969Z [2022-11-23 01:27:06,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9856233Z [2022-11-23 01:27:06,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), SliceVariable()]
2022-11-23T01:32:37.9856545Z [2022-11-23 01:27:06,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9856890Z [2022-11-23 01:27:06,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:37.9857181Z [2022-11-23 01:27:06,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:37.9857509Z [2022-11-23 01:27:06,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9857769Z [2022-11-23 01:27:06,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.9858035Z [2022-11-23 01:27:06,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:37.9858301Z [2022-11-23 01:27:06,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9858616Z [2022-11-23 01:27:06,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9859006Z [2022-11-23 01:27:06,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9859300Z [2022-11-23 01:27:06,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:37.9859631Z [2022-11-23 01:27:06,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9860012Z [2022-11-23 01:27:06,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9860326Z [2022-11-23 01:27:06,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:37.9860682Z [2022-11-23 01:27:06,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9860981Z [2022-11-23 01:27:06,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.9861249Z [2022-11-23 01:27:06,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9861502Z [2022-11-23 01:27:06,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1676
2022-11-23T01:32:37.9861739Z [2022-11-23 01:27:06,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:37.9862004Z [2022-11-23 01:27:06,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9862311Z [2022-11-23 01:27:06,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9862577Z [2022-11-23 01:27:06,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9862890Z [2022-11-23 01:27:06,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9863243Z [2022-11-23 01:27:06,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9863539Z [2022-11-23 01:27:06,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:37.9863877Z [2022-11-23 01:27:06,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9864251Z [2022-11-23 01:27:06,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:37.9864640Z [2022-11-23 01:27:06,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:37.9864995Z [2022-11-23 01:27:06,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9865331Z [2022-11-23 01:27:06,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.9865594Z [2022-11-23 01:27:06,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9865887Z [2022-11-23 01:27:06,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9866255Z [2022-11-23 01:27:06,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9866551Z [2022-11-23 01:27:06,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9866895Z [2022-11-23 01:27:06,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9867286Z [2022-11-23 01:27:06,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9867602Z [2022-11-23 01:27:06,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:37.9867968Z [2022-11-23 01:27:06,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9868374Z [2022-11-23 01:27:06,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9868714Z [2022-11-23 01:27:06,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:37.9869085Z [2022-11-23 01:27:06,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9869412Z [2022-11-23 01:27:06,733] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.9869709Z [2022-11-23 01:27:06,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9869977Z [2022-11-23 01:27:06,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9870225Z [2022-11-23 01:27:06,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9870552Z [2022-11-23 01:27:06,740] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6406030, file "inductor/test_torchinductor.py", line 1673>
2022-11-23T01:32:37.9870796Z [2022-11-23 01:27:06,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9871030Z [2022-11-23 01:27:06,741] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9871287Z [2022-11-23 01:27:06,744] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9871533Z [2022-11-23 01:27:06,768] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9871708Z [2022-11-23 01:27:06,769] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9871840Z  __compiled_fn_366 <eval_with_key>.2273 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9871930Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9872194Z call_function, getitem, <built-in function getitem>, (ex_0_, (slice(None, None, None), slice(None, 10, None), 0)), {}
2022-11-23T01:32:37.9872488Z call_function, getitem_1, <built-in function getitem>, (ex_0_, (slice(None, None, None), slice(10, None, None), 0)), {}
2022-11-23T01:32:37.9872682Z call_function, add, <built-in function add>, (getitem, getitem_1), {}
2022-11-23T01:32:37.9872853Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.9873144Z call_function, getitem_2, <built-in function getitem>, (add_1, (slice(None, None, None), slice(None, 10, None), 0)), {}
2022-11-23T01:32:37.9873305Z call_function, add_2, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.9873567Z call_function, getitem_3, <built-in function getitem>, (add_2, (slice(None, None, None), slice(10, None, None), 0)), {}
2022-11-23T01:32:37.9873762Z call_function, add_3, <built-in function add>, (getitem_2, getitem_3), {}
2022-11-23T01:32:37.9873865Z output, output, output, ((add, add_3),), {}
2022-11-23T01:32:37.9873871Z 
2022-11-23T01:32:37.9874149Z [2022-11-23 01:27:06,770] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9874243Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9874333Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9874426Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9874503Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9874582Z               8 RETURN_VALUE
2022-11-23T01:32:37.9874587Z 
2022-11-23T01:32:37.9874649Z  
2022-11-23T01:32:37.9874922Z [2022-11-23 01:27:06,770] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9875032Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_366)
2022-11-23T01:32:37.9875124Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9875212Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9875290Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9875368Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.9875470Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.9875572Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9875661Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9875737Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.9875837Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9875930Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9875993Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.9876079Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.9876153Z              26 RETURN_VALUE
2022-11-23T01:32:37.9876158Z 
2022-11-23T01:32:37.9876218Z  
2022-11-23T01:32:37.9876400Z [2022-11-23 01:27:06,772] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9876469Z  - 
2022-11-23T01:32:37.9876585Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9876638Z             {
2022-11-23T01:32:37.9876777Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9876963Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.9877080Z                 'obj_weakref': None
2022-11-23T01:32:37.9877503Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9877568Z             }
2022-11-23T01:32:37.9877632Z             
2022-11-23T01:32:37.9877691Z  - 
2022-11-23T01:32:37.9877816Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9877878Z             {
2022-11-23T01:32:37.9878020Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9878126Z                 'code': None,
2022-11-23T01:32:37.9878333Z                 'obj_weakref': <weakref at 0x7f7129f5a290; to 'Tensor' at 0x7f7106d4a6b0>
2022-11-23T01:32:37.9878582Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9878705Z             }
2022-11-23T01:32:37.9878755Z             
2022-11-23T01:32:37.9878824Z  - 
2022-11-23T01:32:37.9878953Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9879017Z             {
2022-11-23T01:32:37.9879151Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9879320Z                 'code': ['___check_obj_id(model, 140126568959440)'],
2022-11-23T01:32:37.9879423Z                 'obj_weakref': None
2022-11-23T01:32:37.9879688Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9879752Z             }
2022-11-23T01:32:37.9879816Z             
2022-11-23T01:32:37.9879886Z  - 
2022-11-23T01:32:37.9880008Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9880070Z             {
2022-11-23T01:32:37.9880192Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9880408Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9880531Z                 'obj_weakref': None
2022-11-23T01:32:37.9880748Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9880814Z             }
2022-11-23T01:32:37.9880879Z             
2022-11-23T01:32:37.9881141Z [2022-11-23 01:27:06,806] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 359
2022-11-23T01:32:37.9881510Z [2022-11-23 01:27:09,360] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/l4/cl4i7n5ezojz5sehr3pxyv7rg6jbhqhlijtp3y7qxnl5pxqlbrdh.py
2022-11-23T01:32:37.9881762Z [2022-11-23 01:27:09,361] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 359
2022-11-23T01:32:37.9881783Z 
2022-11-23T01:32:37.9881862Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9881932Z import torch
2022-11-23T01:32:37.9882002Z import random
2022-11-23T01:32:37.9882118Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9882242Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9882247Z 
2022-11-23T01:32:37.9882327Z aten = torch.ops.aten
2022-11-23T01:32:37.9882463Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9882542Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9882547Z 
2022-11-23T01:32:37.9882551Z 
2022-11-23T01:32:37.9882686Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9882893Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9883015Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9883116Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.9883214Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.9883276Z {
2022-11-23T01:32:37.9883377Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9883426Z     {
2022-11-23T01:32:37.9883518Z         #pragma omp for  collapse(2)
2022-11-23T01:32:37.9883604Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:37.9883670Z         {
2022-11-23T01:32:37.9883756Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:37.9883822Z             {
2022-11-23T01:32:37.9883874Z                 {
2022-11-23T01:32:37.9883945Z                     {
2022-11-23T01:32:37.9884052Z                         auto tmp0 = in_ptr0[(2*i1) + (40*i0)];
2022-11-23T01:32:37.9884159Z                         auto tmp1 = in_ptr0[20 + (2*i1) + (40*i0)];
2022-11-23T01:32:37.9884258Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.9884365Z                         auto tmp3 = static_cast<float>(1);
2022-11-23T01:32:37.9884462Z                         auto tmp4 = tmp0 + tmp3;
2022-11-23T01:32:37.9884540Z                         auto tmp5 = tmp1 + tmp3;
2022-11-23T01:32:37.9884633Z                         auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:37.9884731Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:37.9884829Z                         out_ptr1[i1 + (10*i0)] = tmp6;
2022-11-23T01:32:37.9884928Z                     }
2022-11-23T01:32:37.9884991Z                 }
2022-11-23T01:32:37.9885056Z             }
2022-11-23T01:32:37.9885106Z         }
2022-11-23T01:32:37.9885170Z     }
2022-11-23T01:32:37.9885231Z }
2022-11-23T01:32:37.9885311Z ''')
2022-11-23T01:32:37.9885316Z 
2022-11-23T01:32:37.9885320Z 
2022-11-23T01:32:37.9885411Z async_compile.wait(globals())
2022-11-23T01:32:37.9885485Z del async_compile
2022-11-23T01:32:37.9885520Z 
2022-11-23T01:32:37.9885591Z def call(args):
2022-11-23T01:32:37.9885659Z     arg0_1, = args
2022-11-23T01:32:37.9885716Z     args.clear()
2022-11-23T01:32:37.9885918Z     buf0 = empty_strided((2, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9886115Z     buf1 = empty_strided((2, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9886277Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.9886351Z     del arg0_1
2022-11-23T01:32:37.9886427Z     return (buf0, buf1, )
2022-11-23T01:32:37.9886433Z 
2022-11-23T01:32:37.9886438Z 
2022-11-23T01:32:37.9886512Z if __name__ == "__main__":
2022-11-23T01:32:37.9886613Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9886732Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9886938Z     arg0_1 = rand_strided((2, 20, 2), (40, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9887049Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.9887054Z 
2022-11-23T01:32:37.9887121Z ok (2.673s)
2022-11-23T01:32:37.9887423Z   test_slice2_cpu (__main__.CpuTests) ... [2022-11-23 01:27:09,376] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9887690Z [2022-11-23 01:27:09,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9887907Z [2022-11-23 01:27:09,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9888160Z [2022-11-23 01:27:09,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9888432Z [2022-11-23 01:27:09,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9888756Z [2022-11-23 01:27:09,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9889085Z [2022-11-23 01:27:09,377] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6406150, file "inductor/test_torchinductor.py", line 1685> 
2022-11-23T01:32:37.9889179Z  1687           0 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9889272Z                2 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9889408Z                4 LOAD_CONST               1 (-1)
2022-11-23T01:32:37.9889496Z                6 BUILD_SLICE              2
2022-11-23T01:32:37.9889590Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9889667Z               10 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9889755Z               12 LOAD_CONST               2 (2)
2022-11-23T01:32:37.9889843Z               14 BUILD_SLICE              3
2022-11-23T01:32:37.9889977Z               16 LOAD_CONST               1 (-1)
2022-11-23T01:32:37.9890065Z               18 BUILD_TUPLE              3
2022-11-23T01:32:37.9890143Z               20 BINARY_SUBSCR
2022-11-23T01:32:37.9890235Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9890394Z               24 LOAD_CONST               1 (-1)
2022-11-23T01:32:37.9890484Z               26 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9890569Z               28 BUILD_SLICE              2
2022-11-23T01:32:37.9890656Z               30 LOAD_CONST               3 (1)
2022-11-23T01:32:37.9890745Z               32 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9890832Z               34 LOAD_CONST               2 (2)
2022-11-23T01:32:37.9890948Z               36 BUILD_SLICE              3
2022-11-23T01:32:37.9891070Z               38 LOAD_CONST               4 (-2)
2022-11-23T01:32:37.9891156Z               40 BUILD_TUPLE              3
2022-11-23T01:32:37.9891231Z               42 BINARY_SUBSCR
2022-11-23T01:32:37.9891304Z               44 BINARY_ADD
2022-11-23T01:32:37.9891309Z 
2022-11-23T01:32:37.9891396Z 1688          46 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9891520Z               48 LOAD_CONST               3 (1)
2022-11-23T01:32:37.9891592Z               50 BINARY_ADD
2022-11-23T01:32:37.9891682Z               52 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9891804Z               54 LOAD_CONST               1 (-1)
2022-11-23T01:32:37.9891889Z               56 BUILD_SLICE              2
2022-11-23T01:32:37.9891979Z               58 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9892065Z               60 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9892154Z               62 LOAD_CONST               2 (2)
2022-11-23T01:32:37.9892239Z               64 BUILD_SLICE              3
2022-11-23T01:32:37.9892370Z               66 LOAD_CONST               1 (-1)
2022-11-23T01:32:37.9892443Z               68 BUILD_TUPLE              3
2022-11-23T01:32:37.9892519Z               70 BINARY_SUBSCR
2022-11-23T01:32:37.9892606Z               72 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9892693Z               74 LOAD_CONST               2 (2)
2022-11-23T01:32:37.9892766Z               76 BINARY_ADD
2022-11-23T01:32:37.9892900Z               78 LOAD_CONST               1 (-1)
2022-11-23T01:32:37.9892987Z               80 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9893062Z               82 BUILD_SLICE              2
2022-11-23T01:32:37.9893148Z               84 LOAD_CONST               3 (1)
2022-11-23T01:32:37.9893238Z               86 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9893323Z               88 LOAD_CONST               2 (2)
2022-11-23T01:32:37.9893414Z               90 BUILD_SLICE              3
2022-11-23T01:32:37.9893548Z               92 LOAD_CONST               4 (-2)
2022-11-23T01:32:37.9893636Z               94 BUILD_TUPLE              3
2022-11-23T01:32:37.9893701Z               96 BINARY_SUBSCR
2022-11-23T01:32:37.9893774Z               98 BINARY_ADD
2022-11-23T01:32:37.9893859Z              100 BUILD_TUPLE              2
2022-11-23T01:32:37.9893934Z              102 RETURN_VALUE
2022-11-23T01:32:37.9893995Z  
2022-11-23T01:32:37.9894003Z 
2022-11-23T01:32:37.9894275Z [2022-11-23 01:27:09,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1687
2022-11-23T01:32:37.9894486Z [2022-11-23 01:27:09,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.9894730Z [2022-11-23 01:27:09,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()]
2022-11-23T01:32:37.9895005Z [2022-11-23 01:27:09,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9895324Z [2022-11-23 01:27:09,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:37.9895591Z [2022-11-23 01:27:09,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), SliceVariable()]
2022-11-23T01:32:37.9895904Z [2022-11-23 01:27:09,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9896259Z [2022-11-23 01:27:09,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9896654Z [2022-11-23 01:27:09,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:37.9896980Z [2022-11-23 01:27:09,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:37.9897305Z [2022-11-23 01:27:09,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9897579Z [2022-11-23 01:27:09,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.9897860Z [2022-11-23 01:27:09,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:37.9898127Z [2022-11-23 01:27:09,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9898418Z [2022-11-23 01:27:09,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9898760Z [2022-11-23 01:27:09,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9899051Z [2022-11-23 01:27:09,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:37.9899379Z [2022-11-23 01:27:09,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9899751Z [2022-11-23 01:27:09,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9900166Z [2022-11-23 01:27:09,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:37.9900484Z [2022-11-23 01:27:09,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:37.9900841Z [2022-11-23 01:27:09,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9901144Z [2022-11-23 01:27:09,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.9901415Z [2022-11-23 01:27:09,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9901682Z [2022-11-23 01:27:09,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1688
2022-11-23T01:32:37.9901917Z [2022-11-23 01:27:09,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:37.9902169Z [2022-11-23 01:27:09,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9902475Z [2022-11-23 01:27:09,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9902744Z [2022-11-23 01:27:09,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9903058Z [2022-11-23 01:27:09,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9903403Z [2022-11-23 01:27:09,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:37.9903696Z [2022-11-23 01:27:09,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:37.9904036Z [2022-11-23 01:27:09,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9904524Z [2022-11-23 01:27:09,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9904984Z [2022-11-23 01:27:09,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:37.9905304Z [2022-11-23 01:27:09,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:37.9905659Z [2022-11-23 01:27:09,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9905950Z [2022-11-23 01:27:09,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.9906213Z [2022-11-23 01:27:09,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9906504Z [2022-11-23 01:27:09,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9906840Z [2022-11-23 01:27:09,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9907136Z [2022-11-23 01:27:09,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9907468Z [2022-11-23 01:27:09,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9907845Z [2022-11-23 01:27:09,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9908165Z [2022-11-23 01:27:09,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:37.9908529Z [2022-11-23 01:27:09,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9908931Z [2022-11-23 01:27:09,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9909372Z [2022-11-23 01:27:09,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:37.9909718Z [2022-11-23 01:27:09,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:37.9910099Z [2022-11-23 01:27:09,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9910418Z [2022-11-23 01:27:09,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.9910717Z [2022-11-23 01:27:09,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9910983Z [2022-11-23 01:27:09,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9911258Z [2022-11-23 01:27:09,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9911583Z [2022-11-23 01:27:09,412] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6406150, file "inductor/test_torchinductor.py", line 1685>
2022-11-23T01:32:37.9911826Z [2022-11-23 01:27:09,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9912116Z [2022-11-23 01:27:09,412] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9912372Z [2022-11-23 01:27:09,415] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9912620Z [2022-11-23 01:27:09,438] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9912807Z [2022-11-23 01:27:09,438] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9912930Z  __compiled_fn_367 <eval_with_key>.2279 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9913020Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9913280Z call_function, getitem, <built-in function getitem>, (ex_0_, (slice(None, -1, None), slice(None, None, 2), -1)), {}
2022-11-23T01:32:37.9913533Z call_function, getitem_1, <built-in function getitem>, (ex_0_, (slice(-1, None, None), slice(1, None, 2), -2)), {}
2022-11-23T01:32:37.9913725Z call_function, add, <built-in function add>, (getitem, getitem_1), {}
2022-11-23T01:32:37.9913898Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:37.9914153Z call_function, getitem_2, <built-in function getitem>, (add_1, (slice(None, -1, None), slice(None, None, 2), -1)), {}
2022-11-23T01:32:37.9914325Z call_function, add_2, <built-in function add>, (ex_0_, 2), {}
2022-11-23T01:32:37.9914562Z call_function, getitem_3, <built-in function getitem>, (add_2, (slice(-1, None, None), slice(1, None, 2), -2)), {}
2022-11-23T01:32:37.9914758Z call_function, add_3, <built-in function add>, (getitem_2, getitem_3), {}
2022-11-23T01:32:37.9914862Z output, output, output, ((add, add_3),), {}
2022-11-23T01:32:37.9914868Z 
2022-11-23T01:32:37.9915145Z [2022-11-23 01:27:09,439] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9915240Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9915331Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9915427Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9915517Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9915580Z               8 RETURN_VALUE
2022-11-23T01:32:37.9915586Z 
2022-11-23T01:32:37.9915646Z  
2022-11-23T01:32:37.9915920Z [2022-11-23 01:27:09,439] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9916027Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_367)
2022-11-23T01:32:37.9916118Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9916206Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9916284Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9916371Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.9916460Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.9916559Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9916650Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9916725Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.9916826Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9916913Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9916988Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.9917063Z              24 BUILD_TUPLE              2
2022-11-23T01:32:37.9917259Z              26 RETURN_VALUE
2022-11-23T01:32:37.9917264Z 
2022-11-23T01:32:37.9917325Z  
2022-11-23T01:32:37.9917562Z [2022-11-23 01:27:09,441] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9917633Z  - 
2022-11-23T01:32:37.9917755Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9917821Z             {
2022-11-23T01:32:37.9917947Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9918132Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.9918251Z                 'obj_weakref': None
2022-11-23T01:32:37.9918523Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9918589Z             }
2022-11-23T01:32:37.9918652Z             
2022-11-23T01:32:37.9918723Z  - 
2022-11-23T01:32:37.9918834Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9918896Z             {
2022-11-23T01:32:37.9919037Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9919144Z                 'code': None,
2022-11-23T01:32:37.9919349Z                 'obj_weakref': <weakref at 0x7f71067170b0; to 'Tensor' at 0x7f71060e45f0>
2022-11-23T01:32:37.9919599Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9919664Z             }
2022-11-23T01:32:37.9919715Z             
2022-11-23T01:32:37.9919785Z  - 
2022-11-23T01:32:37.9919916Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9919980Z             {
2022-11-23T01:32:37.9920114Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9920283Z                 'code': ['___check_obj_id(model, 140124018400432)'],
2022-11-23T01:32:37.9920401Z                 'obj_weakref': None
2022-11-23T01:32:37.9920617Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9920681Z             }
2022-11-23T01:32:37.9920744Z             
2022-11-23T01:32:37.9920813Z  - 
2022-11-23T01:32:37.9920934Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9921000Z             {
2022-11-23T01:32:37.9921136Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9921338Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9921455Z                 'obj_weakref': None
2022-11-23T01:32:37.9921672Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9921733Z             }
2022-11-23T01:32:37.9921796Z             
2022-11-23T01:32:37.9922055Z [2022-11-23 01:27:09,480] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 360
2022-11-23T01:32:37.9922422Z [2022-11-23 01:27:12,070] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mt/cmtneb2t5zu2yuv4yp3xfpkrpih5zkz6zwfkvscprm5jqjvoxrev.py
2022-11-23T01:32:37.9922683Z [2022-11-23 01:27:12,071] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 360
2022-11-23T01:32:37.9922689Z 
2022-11-23T01:32:37.9922772Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9922841Z import torch
2022-11-23T01:32:37.9922909Z import random
2022-11-23T01:32:37.9923023Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9923143Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9923148Z 
2022-11-23T01:32:37.9923225Z aten = torch.ops.aten
2022-11-23T01:32:37.9923359Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9923441Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9923458Z 
2022-11-23T01:32:37.9923463Z 
2022-11-23T01:32:37.9923583Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9923785Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9923904Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:37.9924003Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:37.9924100Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:37.9924194Z {
2022-11-23T01:32:37.9924295Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9924344Z     {
2022-11-23T01:32:37.9924420Z         #pragma omp for 
2022-11-23T01:32:37.9924502Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:37.9924564Z         {
2022-11-23T01:32:37.9924626Z             {
2022-11-23T01:32:37.9924691Z                 {
2022-11-23T01:32:37.9924788Z                     auto tmp0 = in_ptr0[1 + (4*i0)];
2022-11-23T01:32:37.9924904Z                     auto tmp1 = in_ptr0[42 + (4*i0)];
2022-11-23T01:32:37.9924997Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.9925099Z                     auto tmp3 = static_cast<float>(1);
2022-11-23T01:32:37.9925189Z                     auto tmp4 = tmp0 + tmp3;
2022-11-23T01:32:37.9925290Z                     auto tmp5 = static_cast<float>(2);
2022-11-23T01:32:37.9925378Z                     auto tmp6 = tmp1 + tmp5;
2022-11-23T01:32:37.9925465Z                     auto tmp7 = tmp4 + tmp6;
2022-11-23T01:32:37.9925538Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:37.9925620Z                     out_ptr1[i0] = tmp7;
2022-11-23T01:32:37.9925684Z                 }
2022-11-23T01:32:37.9925748Z             }
2022-11-23T01:32:37.9925810Z         }
2022-11-23T01:32:37.9925870Z     }
2022-11-23T01:32:37.9925929Z }
2022-11-23T01:32:37.9925994Z ''')
2022-11-23T01:32:37.9925999Z 
2022-11-23T01:32:37.9926003Z 
2022-11-23T01:32:37.9926095Z async_compile.wait(globals())
2022-11-23T01:32:37.9926171Z del async_compile
2022-11-23T01:32:37.9926176Z 
2022-11-23T01:32:37.9926248Z def call(args):
2022-11-23T01:32:37.9926318Z     arg0_1, = args
2022-11-23T01:32:37.9926391Z     args.clear()
2022-11-23T01:32:37.9926591Z     buf0 = empty_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9926776Z     buf1 = empty_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9926942Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:37.9927013Z     del arg0_1
2022-11-23T01:32:37.9927092Z     return (buf0, buf1, )
2022-11-23T01:32:37.9927097Z 
2022-11-23T01:32:37.9927102Z 
2022-11-23T01:32:37.9927179Z if __name__ == "__main__":
2022-11-23T01:32:37.9927293Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9927417Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9927622Z     arg0_1 = rand_strided((2, 20, 2), (40, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9927719Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.9927737Z 
2022-11-23T01:32:37.9927791Z ok (2.709s)
2022-11-23T01:32:37.9928110Z   test_slice_mutation1_cpu (__main__.CpuTests) ... [2022-11-23 01:27:12,085] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9928380Z [2022-11-23 01:27:12,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9928597Z [2022-11-23 01:27:12,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9928855Z [2022-11-23 01:27:12,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9929140Z [2022-11-23 01:27:12,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9929466Z [2022-11-23 01:27:12,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9929793Z [2022-11-23 01:27:12,086] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64331e0, file "inductor/test_torchinductor.py", line 3290> 
2022-11-23T01:32:37.9929893Z  3291           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.9929981Z                2 LOAD_METHOD              1 (zeros_like)
2022-11-23T01:32:37.9930075Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9930194Z                6 CALL_METHOD              1
2022-11-23T01:32:37.9930286Z                8 STORE_FAST               1 (x)
2022-11-23T01:32:37.9930292Z 
2022-11-23T01:32:37.9930383Z 3292          10 LOAD_FAST                1 (x)
2022-11-23T01:32:37.9930471Z               12 LOAD_CONST               1 (1)
2022-11-23T01:32:37.9930547Z               14 BINARY_ADD
2022-11-23T01:32:37.9930624Z               16 STORE_FAST               2 (b)
2022-11-23T01:32:37.9930629Z 
2022-11-23T01:32:37.9930747Z 3293          18 LOAD_CONST               2 (3.0)
2022-11-23T01:32:37.9930837Z               20 LOAD_FAST                1 (x)
2022-11-23T01:32:37.9930930Z               22 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9931021Z               24 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9931109Z               26 BUILD_SLICE              2
2022-11-23T01:32:37.9931198Z               28 LOAD_CONST               3 (3)
2022-11-23T01:32:37.9931287Z               30 BUILD_TUPLE              2
2022-11-23T01:32:37.9931353Z               32 STORE_SUBSCR
2022-11-23T01:32:37.9931357Z 
2022-11-23T01:32:37.9931454Z 3294          34 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:37.9931547Z               36 LOAD_METHOD              2 (clone)
2022-11-23T01:32:37.9931635Z               38 LOAD_FAST                1 (x)
2022-11-23T01:32:37.9931723Z               40 CALL_METHOD              1
2022-11-23T01:32:37.9931812Z               42 STORE_FAST               3 (c)
2022-11-23T01:32:37.9931816Z 
2022-11-23T01:32:37.9931909Z 3295          44 LOAD_CONST               4 (4.0)
2022-11-23T01:32:37.9931984Z               46 LOAD_FAST                1 (x)
2022-11-23T01:32:37.9932073Z               48 LOAD_CONST               5 (4)
2022-11-23T01:32:37.9932163Z               50 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9932253Z               52 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9932340Z               54 BUILD_SLICE              2
2022-11-23T01:32:37.9932424Z               56 BUILD_TUPLE              2
2022-11-23T01:32:37.9932500Z               58 STORE_SUBSCR
2022-11-23T01:32:37.9932505Z 
2022-11-23T01:32:37.9932592Z 3296          60 LOAD_FAST                1 (x)
2022-11-23T01:32:37.9932666Z               62 LOAD_CONST               1 (1)
2022-11-23T01:32:37.9932738Z               64 BINARY_ADD
2022-11-23T01:32:37.9932832Z               66 STORE_FAST               4 (d)
2022-11-23T01:32:37.9932836Z 
2022-11-23T01:32:37.9932921Z 3297          68 LOAD_FAST                1 (x)
2022-11-23T01:32:37.9933008Z               70 LOAD_FAST                2 (b)
2022-11-23T01:32:37.9933095Z               72 LOAD_FAST                3 (c)
2022-11-23T01:32:37.9933177Z               74 LOAD_FAST                4 (d)
2022-11-23T01:32:37.9933252Z               76 BUILD_TUPLE              4
2022-11-23T01:32:37.9933328Z               78 RETURN_VALUE
2022-11-23T01:32:37.9933388Z  
2022-11-23T01:32:37.9933393Z 
2022-11-23T01:32:37.9933662Z [2022-11-23 01:27:12,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3291
2022-11-23T01:32:37.9933883Z [2022-11-23 01:27:12,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.9934256Z [2022-11-23 01:27:12,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros_like [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.9934586Z [2022-11-23 01:27:12,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method zeros_like of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.9934947Z [2022-11-23 01:27:12,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method zeros_like of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9935185Z [2022-11-23 01:27:12,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()]
2022-11-23T01:32:37.9935448Z [2022-11-23 01:27:12,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3292
2022-11-23T01:32:37.9935677Z [2022-11-23 01:27:12,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.9935913Z [2022-11-23 01:27:12,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:37.9936195Z [2022-11-23 01:27:12,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9936454Z [2022-11-23 01:27:12,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:32:37.9936720Z [2022-11-23 01:27:12,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3293
2022-11-23T01:32:37.9936932Z [2022-11-23 01:27:12,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.0 []
2022-11-23T01:32:37.9937179Z [2022-11-23 01:27:12,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(float)]
2022-11-23T01:32:37.9937459Z [2022-11-23 01:27:12,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:37.9937790Z [2022-11-23 01:27:12,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9938149Z [2022-11-23 01:27:12,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [ConstantVariable(float), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9938448Z [2022-11-23 01:27:12,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [ConstantVariable(float), TensorVariable(), SliceVariable()]
2022-11-23T01:32:37.9938787Z [2022-11-23 01:27:12,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [ConstantVariable(float), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9939096Z [2022-11-23 01:27:12,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [ConstantVariable(float), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.9939363Z [2022-11-23 01:27:12,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3294
2022-11-23T01:32:37.9939578Z [2022-11-23 01:27:12,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:37.9939943Z [2022-11-23 01:27:12,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:37.9940260Z [2022-11-23 01:27:12,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method clone of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:37.9940612Z [2022-11-23 01:27:12,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method clone of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:37.9940850Z [2022-11-23 01:27:12,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:32:37.9941115Z [2022-11-23 01:27:12,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3295
2022-11-23T01:32:37.9941315Z [2022-11-23 01:27:12,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4.0 []
2022-11-23T01:32:37.9941560Z [2022-11-23 01:27:12,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(float)]
2022-11-23T01:32:37.9941836Z [2022-11-23 01:27:12,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:37.9942151Z [2022-11-23 01:27:12,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9942511Z [2022-11-23 01:27:12,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9942950Z [2022-11-23 01:27:12,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [ConstantVariable(float), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9943291Z [2022-11-23 01:27:12,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [ConstantVariable(float), TensorVariable(), ConstantVariable(int), SliceVariable()]
2022-11-23T01:32:37.9943637Z [2022-11-23 01:27:12,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [ConstantVariable(float), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.9943904Z [2022-11-23 01:27:12,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3296
2022-11-23T01:32:37.9944113Z [2022-11-23 01:27:12,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.9944348Z [2022-11-23 01:27:12,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:37.9944698Z [2022-11-23 01:27:12,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9944936Z [2022-11-23 01:27:12,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()]
2022-11-23T01:32:37.9945202Z [2022-11-23 01:27:12,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3297
2022-11-23T01:32:37.9945414Z [2022-11-23 01:27:12,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:37.9945650Z [2022-11-23 01:27:12,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:37.9945912Z [2022-11-23 01:27:12,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9946203Z [2022-11-23 01:27:12,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9946531Z [2022-11-23 01:27:12,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9946778Z [2022-11-23 01:27:12,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9947094Z [2022-11-23 01:27:12,104] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64331e0, file "inductor/test_torchinductor.py", line 3290>
2022-11-23T01:32:37.9947340Z [2022-11-23 01:27:12,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:37.9947574Z [2022-11-23 01:27:12,104] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9947829Z [2022-11-23 01:27:12,107] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9948078Z [2022-11-23 01:27:12,127] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9948270Z [2022-11-23 01:27:12,128] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9948404Z  __compiled_fn_368 <eval_with_key>.2285 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9948495Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9948737Z call_function, zeros_like, <built-in method zeros_like of type object at 0x7f71f2abebc0>, (ex_0_,), {}
2022-11-23T01:32:37.9948906Z call_function, add, <built-in function add>, (zeros_like, 1), {}
2022-11-23T01:32:37.9949149Z call_function, setitem, <built-in function setitem>, (zeros_like, (slice(None, None, None), 3), 3.0), {}
2022-11-23T01:32:37.9949385Z call_function, clone, <built-in method clone of type object at 0x7f71f2abebc0>, (zeros_like,), {}
2022-11-23T01:32:37.9949630Z call_function, setitem_1, <built-in function setitem>, (zeros_like, (4, slice(None, None, None)), 4.0), {}
2022-11-23T01:32:37.9949810Z call_function, add_1, <built-in function add>, (zeros_like, 1), {}
2022-11-23T01:32:37.9949967Z output, output, output, ((zeros_like, add, clone, add_1),), {}
2022-11-23T01:32:37.9949973Z 
2022-11-23T01:32:37.9950250Z [2022-11-23 01:27:12,128] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9950343Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9950433Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9950512Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:37.9950628Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:37.9950704Z               8 RETURN_VALUE
2022-11-23T01:32:37.9950709Z 
2022-11-23T01:32:37.9950769Z  
2022-11-23T01:32:37.9951042Z [2022-11-23 01:27:12,129] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9951150Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_368)
2022-11-23T01:32:37.9951240Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9951319Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9951396Z               6 BINARY_SUBSCR
2022-11-23T01:32:37.9951485Z               8 CALL_FUNCTION            1
2022-11-23T01:32:37.9951588Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:37.9951691Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9951778Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9951854Z              16 BINARY_SUBSCR
2022-11-23T01:32:37.9951947Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9952035Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:37.9952110Z              22 BINARY_SUBSCR
2022-11-23T01:32:37.9952208Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9952295Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:37.9952371Z              28 BINARY_SUBSCR
2022-11-23T01:32:37.9952474Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:37.9952565Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:37.9952626Z              34 BINARY_SUBSCR
2022-11-23T01:32:37.9952713Z              36 BUILD_TUPLE              4
2022-11-23T01:32:37.9952786Z              38 RETURN_VALUE
2022-11-23T01:32:37.9952792Z 
2022-11-23T01:32:37.9952852Z  
2022-11-23T01:32:37.9953035Z [2022-11-23 01:27:12,130] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9953104Z  - 
2022-11-23T01:32:37.9953223Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:37.9953274Z             {
2022-11-23T01:32:37.9953415Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:37.9953601Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:37.9953719Z                 'obj_weakref': None
2022-11-23T01:32:37.9953942Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:37.9954006Z             }
2022-11-23T01:32:37.9954070Z             
2022-11-23T01:32:37.9954125Z  - 
2022-11-23T01:32:37.9954248Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:37.9954310Z             {
2022-11-23T01:32:37.9954451Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9954558Z                 'code': None,
2022-11-23T01:32:37.9954766Z                 'obj_weakref': <weakref at 0x7f71060d9a70; to 'Tensor' at 0x7f70f276cfb0>
2022-11-23T01:32:37.9955016Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9955067Z             }
2022-11-23T01:32:37.9955128Z             
2022-11-23T01:32:37.9955197Z  - 
2022-11-23T01:32:37.9955325Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:37.9955388Z             {
2022-11-23T01:32:37.9955521Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:37.9955690Z                 'code': ['___check_obj_id(model, 140123422019024)'],
2022-11-23T01:32:37.9955794Z                 'obj_weakref': None
2022-11-23T01:32:37.9956057Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:37.9956123Z             }
2022-11-23T01:32:37.9956185Z             
2022-11-23T01:32:37.9956253Z  - 
2022-11-23T01:32:37.9956373Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:37.9956436Z             {
2022-11-23T01:32:37.9956558Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:37.9956803Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:37.9956922Z                 'obj_weakref': None
2022-11-23T01:32:37.9957262Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:37.9957358Z             }
2022-11-23T01:32:37.9957442Z             
2022-11-23T01:32:37.9957518Z  - 
2022-11-23T01:32:37.9957640Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:37.9957702Z             {
2022-11-23T01:32:37.9957821Z                 'guard_types': None,
2022-11-23T01:32:37.9957930Z                 'code': None,
2022-11-23T01:32:37.9958046Z                 'obj_weakref': None
2022-11-23T01:32:37.9958166Z                 'guarded_class': None
2022-11-23T01:32:37.9958216Z             }
2022-11-23T01:32:37.9958281Z             
2022-11-23T01:32:37.9958542Z [2022-11-23 01:27:12,162] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 361
2022-11-23T01:32:37.9958923Z [2022-11-23 01:27:14,796] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/py/cpyercgnxthurqp5rp7e3spxjjfawxkhqev5wjh6roqqqmuvlq3e.py
2022-11-23T01:32:37.9959187Z [2022-11-23 01:27:14,796] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 361
2022-11-23T01:32:37.9959193Z 
2022-11-23T01:32:37.9959286Z from ctypes import c_void_p, c_long
2022-11-23T01:32:37.9959356Z import torch
2022-11-23T01:32:37.9959427Z import random
2022-11-23T01:32:37.9959529Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:37.9959652Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:37.9959657Z 
2022-11-23T01:32:37.9959735Z aten = torch.ops.aten
2022-11-23T01:32:37.9959868Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:37.9959960Z async_compile = AsyncCompile()
2022-11-23T01:32:37.9959965Z 
2022-11-23T01:32:37.9959970Z 
2022-11-23T01:32:37.9960104Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:37.9960314Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:37.9960427Z extern "C" void kernel(float* __restrict__ out_ptr0,
2022-11-23T01:32:37.9960512Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:37.9960604Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:37.9960696Z                        float* __restrict__ out_ptr3)
2022-11-23T01:32:37.9960756Z {
2022-11-23T01:32:37.9960853Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:37.9960918Z     {
2022-11-23T01:32:37.9960994Z         #pragma omp for 
2022-11-23T01:32:37.9961062Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.9961124Z         {
2022-11-23T01:32:37.9961270Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(0));
2022-11-23T01:32:37.9961403Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.9961487Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.9961581Z             tmp0.store(out_ptr0 + 16*i0);
2022-11-23T01:32:37.9961672Z             tmp2.store(out_ptr1 + 16*i0);
2022-11-23T01:32:37.9961734Z         }
2022-11-23T01:32:37.9961817Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.9961899Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:37.9961961Z         {
2022-11-23T01:32:37.9962061Z             auto tmp0 = static_cast<float>(0);
2022-11-23T01:32:37.9962160Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:37.9962244Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.9962376Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:37.9962453Z             out_ptr1[i0] = tmp2;
2022-11-23T01:32:37.9962514Z         }
2022-11-23T01:32:37.9962590Z         #pragma omp for 
2022-11-23T01:32:37.9962672Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.9962735Z         {
2022-11-23T01:32:37.9962799Z             {
2022-11-23T01:32:37.9962851Z                 {
2022-11-23T01:32:37.9962958Z                     auto tmp0 = static_cast<float>(3.0);
2022-11-23T01:32:37.9963088Z                     out_ptr0[3 + (8*i0)] = tmp0;
2022-11-23T01:32:37.9963154Z                 }
2022-11-23T01:32:37.9963218Z             }
2022-11-23T01:32:37.9963281Z         }
2022-11-23T01:32:37.9963360Z         #pragma omp for 
2022-11-23T01:32:37.9963428Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.9963489Z         {
2022-11-23T01:32:37.9963627Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 16*i0);
2022-11-23T01:32:37.9963718Z             tmp0.store(out_ptr2 + 16*i0);
2022-11-23T01:32:37.9963781Z         }
2022-11-23T01:32:37.9963875Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.9963957Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:37.9964006Z         {
2022-11-23T01:32:37.9964089Z             auto tmp0 = out_ptr0[i0];
2022-11-23T01:32:37.9964167Z             out_ptr2[i0] = tmp0;
2022-11-23T01:32:37.9964229Z         }
2022-11-23T01:32:37.9964306Z         #pragma omp for 
2022-11-23T01:32:37.9964387Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:37.9964450Z         {
2022-11-23T01:32:37.9964500Z             {
2022-11-23T01:32:37.9964563Z                 {
2022-11-23T01:32:37.9964667Z                     auto tmp0 = static_cast<float>(4.0);
2022-11-23T01:32:37.9964756Z                     out_ptr0[32 + i0] = tmp0;
2022-11-23T01:32:37.9964819Z                 }
2022-11-23T01:32:37.9964881Z             }
2022-11-23T01:32:37.9964930Z         }
2022-11-23T01:32:37.9965005Z         #pragma omp for 
2022-11-23T01:32:37.9965086Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:37.9965149Z         {
2022-11-23T01:32:37.9965284Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr0 + 16*i0);
2022-11-23T01:32:37.9965416Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:37.9965503Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.9965581Z             tmp2.store(out_ptr3 + 16*i0);
2022-11-23T01:32:37.9965642Z         }
2022-11-23T01:32:37.9965738Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:37.9965819Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:37.9965880Z         {
2022-11-23T01:32:37.9965963Z             auto tmp0 = out_ptr0[i0];
2022-11-23T01:32:37.9966062Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:37.9966133Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:37.9966211Z             out_ptr3[i0] = tmp2;
2022-11-23T01:32:37.9966270Z         }
2022-11-23T01:32:37.9966331Z     }
2022-11-23T01:32:37.9966391Z }
2022-11-23T01:32:37.9966473Z ''')
2022-11-23T01:32:37.9966478Z 
2022-11-23T01:32:37.9966482Z 
2022-11-23T01:32:37.9966572Z async_compile.wait(globals())
2022-11-23T01:32:37.9966632Z del async_compile
2022-11-23T01:32:37.9966649Z 
2022-11-23T01:32:37.9966707Z def call(args):
2022-11-23T01:32:37.9966777Z     arg0_1, = args
2022-11-23T01:32:37.9966851Z     args.clear()
2022-11-23T01:32:37.9967047Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9967245Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9967435Z     buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9967622Z     buf5 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9967798Z     kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()))
2022-11-23T01:32:37.9967887Z     return (buf0, buf1, buf3, buf5, )
2022-11-23T01:32:37.9967924Z 
2022-11-23T01:32:37.9967928Z 
2022-11-23T01:32:37.9968006Z if __name__ == "__main__":
2022-11-23T01:32:37.9968120Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:37.9968243Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:37.9968439Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:37.9968548Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:37.9968553Z 
2022-11-23T01:32:37.9968621Z ok (2.728s)
2022-11-23T01:32:37.9968951Z   test_slice_mutation2_cpu (__main__.CpuTests) ... [2022-11-23 01:27:14,812] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:37.9969226Z [2022-11-23 01:27:14,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3304
2022-11-23T01:32:37.9969435Z [2022-11-23 01:27:14,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.9969681Z [2022-11-23 01:27:14,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()]
2022-11-23T01:32:37.9969974Z [2022-11-23 01:27:14,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9970308Z [2022-11-23 01:27:14,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9970575Z [2022-11-23 01:27:14,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 20 [TensorVariable(), SliceVariable()]
2022-11-23T01:32:37.9970880Z [2022-11-23 01:27:14,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9971221Z [2022-11-23 01:27:14,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9971514Z [2022-11-23 01:27:14,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:37.9971778Z [2022-11-23 01:27:14,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.9972017Z [2022-11-23 01:27:14,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:37.9972301Z [2022-11-23 01:27:14,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9972538Z [2022-11-23 01:27:14,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:37.9972807Z [2022-11-23 01:27:14,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9973187Z [2022-11-23 01:27:14,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9973550Z [2022-11-23 01:27:14,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9973842Z [2022-11-23 01:27:14,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 20 [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:37.9974174Z [2022-11-23 01:27:14,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9974540Z [2022-11-23 01:27:14,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9974863Z [2022-11-23 01:27:14,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:37.9975151Z [2022-11-23 01:27:14,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.9975450Z [2022-11-23 01:27:14,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3305
2022-11-23T01:32:37.9975660Z [2022-11-23 01:27:14,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:37.9975903Z [2022-11-23 01:27:14,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()]
2022-11-23T01:32:37.9976219Z [2022-11-23 01:27:14,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9976552Z [2022-11-23 01:27:14,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9976811Z [2022-11-23 01:27:14,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), SliceVariable()]
2022-11-23T01:32:37.9977114Z [2022-11-23 01:27:14,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9977453Z [2022-11-23 01:27:14,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9977749Z [2022-11-23 01:27:14,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:37.9978024Z [2022-11-23 01:27:14,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.9978248Z [2022-11-23 01:27:14,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:37.9978528Z [2022-11-23 01:27:14,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9978764Z [2022-11-23 01:27:14,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:37.9979035Z [2022-11-23 01:27:14,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9979353Z [2022-11-23 01:27:14,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9979716Z [2022-11-23 01:27:14,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:37.9980004Z [2022-11-23 01:27:14,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:37.9980329Z [2022-11-23 01:27:14,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 11 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9980692Z [2022-11-23 01:27:14,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9981014Z [2022-11-23 01:27:14,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:37.9981304Z [2022-11-23 01:27:14,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:37.9981517Z [2022-11-23 01:27:14,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None []
2022-11-23T01:32:37.9981778Z [2022-11-23 01:27:14,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ConstantVariable(NoneType)]
2022-11-23T01:32:37.9982010Z [2022-11-23 01:27:14,831] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:37.9982250Z [2022-11-23 01:27:14,833] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:37.9982578Z [2022-11-23 01:27:14,851] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation
2022-11-23T01:32:37.9982837Z [2022-11-23 01:27:14,851] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager
2022-11-23T01:32:37.9983073Z [2022-11-23 01:27:14,851] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:37.9983291Z [2022-11-23 01:27:14,852] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9983426Z  __compiled_fn_369 <eval_with_key>.2288 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9983498Z placeholder, a, a, (), {}
2022-11-23T01:32:37.9983749Z call_function, getitem, <built-in function getitem>, (a, (slice(None, None, None), slice(20, 40, None))), {}
2022-11-23T01:32:37.9983928Z call_function, add, <built-in function add>, (getitem, 1), {}
2022-11-23T01:32:37.9984178Z call_function, setitem, <built-in function setitem>, (a, (slice(None, None, None), slice(20, 40, None)), add), {}
2022-11-23T01:32:37.9984427Z call_function, getitem_1, <built-in function getitem>, (a, (slice(None, None, None), slice(1, 10, None))), {}
2022-11-23T01:32:37.9984691Z call_function, add_1, <built-in function add>, (getitem_1, 2), {}
2022-11-23T01:32:37.9984948Z call_function, setitem_1, <built-in function setitem>, (a, (slice(None, None, None), slice(2, 11, None)), add_1), {}
2022-11-23T01:32:37.9985042Z output, output, output, ((),), {}
2022-11-23T01:32:37.9985049Z 
2022-11-23T01:32:37.9985314Z [2022-11-23 01:27:14,853] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 3303 
2022-11-23T01:32:37.9985405Z 3304           0 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9985500Z                2 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9985590Z                4 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9985680Z                6 BUILD_SLICE              2
2022-11-23T01:32:37.9985773Z                8 LOAD_CONST               1 (20)
2022-11-23T01:32:37.9985862Z               10 LOAD_CONST               2 (40)
2022-11-23T01:32:37.9985936Z               12 BUILD_SLICE              2
2022-11-23T01:32:37.9986023Z               14 BUILD_TUPLE              2
2022-11-23T01:32:37.9986102Z               16 BINARY_SUBSCR
2022-11-23T01:32:37.9986195Z               18 LOAD_CONST               3 (1)
2022-11-23T01:32:37.9986267Z               20 BINARY_ADD
2022-11-23T01:32:37.9986357Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9986447Z               24 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9986534Z               26 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9986609Z               28 BUILD_SLICE              2
2022-11-23T01:32:37.9986697Z               30 LOAD_CONST               1 (20)
2022-11-23T01:32:37.9986784Z               32 LOAD_CONST               2 (40)
2022-11-23T01:32:37.9986870Z               34 BUILD_SLICE              2
2022-11-23T01:32:37.9986959Z               36 BUILD_TUPLE              2
2022-11-23T01:32:37.9987035Z               38 STORE_SUBSCR
2022-11-23T01:32:37.9987040Z 
2022-11-23T01:32:37.9987126Z 3305          40 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9987203Z               42 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9987289Z               44 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9987375Z               46 BUILD_SLICE              2
2022-11-23T01:32:37.9987463Z               48 LOAD_CONST               3 (1)
2022-11-23T01:32:37.9987554Z               50 LOAD_CONST               4 (10)
2022-11-23T01:32:37.9987640Z               52 BUILD_SLICE              2
2022-11-23T01:32:37.9987725Z               54 BUILD_TUPLE              2
2022-11-23T01:32:37.9987790Z               56 BINARY_SUBSCR
2022-11-23T01:32:37.9987876Z               58 LOAD_CONST               5 (2)
2022-11-23T01:32:37.9987948Z               60 BINARY_ADD
2022-11-23T01:32:37.9988036Z               62 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9988161Z               64 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9988249Z               66 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9988335Z               68 BUILD_SLICE              2
2022-11-23T01:32:37.9988409Z               70 LOAD_CONST               5 (2)
2022-11-23T01:32:37.9988496Z               72 LOAD_CONST               6 (11)
2022-11-23T01:32:37.9988580Z               74 BUILD_SLICE              2
2022-11-23T01:32:37.9988705Z               76 BUILD_TUPLE              2
2022-11-23T01:32:37.9988780Z               78 STORE_SUBSCR
2022-11-23T01:32:37.9988869Z               80 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9988944Z               82 RETURN_VALUE
2022-11-23T01:32:37.9988949Z 
2022-11-23T01:32:37.9988997Z  
2022-11-23T01:32:37.9989278Z [2022-11-23 01:27:14,853] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 3303 
2022-11-23T01:32:37.9989389Z 3303           0 LOAD_GLOBAL              0 (__compiled_fn_369)
2022-11-23T01:32:37.9989481Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9989569Z                4 CALL_FUNCTION            1
2022-11-23T01:32:37.9989641Z                6 POP_TOP
2022-11-23T01:32:37.9989735Z                8 LOAD_CONST               0 (None)
2022-11-23T01:32:37.9989809Z               10 RETURN_VALUE
2022-11-23T01:32:37.9989813Z 
2022-11-23T01:32:37.9989860Z  
2022-11-23T01:32:37.9990041Z [2022-11-23 01:27:14,854] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:37.9990110Z  - 
2022-11-23T01:32:37.9990228Z             local 'a' TENSOR_MATCH
2022-11-23T01:32:37.9990292Z             {
2022-11-23T01:32:37.9990432Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:37.9990537Z                 'code': None,
2022-11-23T01:32:37.9990734Z                 'obj_weakref': <weakref at 0x7f7106cfb170; to 'Tensor' at 0x7f71060ebd70>
2022-11-23T01:32:37.9990984Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:37.9991051Z             }
2022-11-23T01:32:37.9991114Z             
2022-11-23T01:32:37.9991181Z ok (0.052s)
2022-11-23T01:32:37.9991501Z   test_slice_scatter2_cpu (__main__.CpuTests) ... [2022-11-23 01:27:14,926] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:37.9991773Z [2022-11-23 01:27:14,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:37.9991990Z [2022-11-23 01:27:14,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:37.9992229Z [2022-11-23 01:27:14,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:37.9992511Z [2022-11-23 01:27:14,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:37.9992833Z [2022-11-23 01:27:14,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:37.9993162Z [2022-11-23 01:27:14,927] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f643d300, file "inductor/test_torchinductor.py", line 3657> 
2022-11-23T01:32:37.9993256Z  3658           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:37.9993360Z                2 LOAD_METHOD              1 (slice_scatter)
2022-11-23T01:32:37.9993451Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:37.9993539Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:37.9993613Z                8 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9993701Z               10 LOAD_CONST               1 (0)
2022-11-23T01:32:37.9993801Z               12 LOAD_CONST               2 (9223372036854775807)
2022-11-23T01:32:37.9993891Z               14 CALL_METHOD              5
2022-11-23T01:32:37.9993971Z               16 RETURN_VALUE
2022-11-23T01:32:37.9994063Z  
2022-11-23T01:32:37.9994068Z 
2022-11-23T01:32:37.9994340Z [2022-11-23 01:27:14,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3658
2022-11-23T01:32:37.9994554Z [2022-11-23 01:27:14,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:37.9994859Z [2022-11-23 01:27:14,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:37.9995155Z [2022-11-23 01:27:14,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.slice_scatter)]
2022-11-23T01:32:37.9995444Z [2022-11-23 01:27:14,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.slice_scatter), TensorVariable()]
2022-11-23T01:32:37.9995763Z [2022-11-23 01:27:14,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:37.9996123Z [2022-11-23 01:27:14,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:37.9996536Z [2022-11-23 01:27:14,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9996977Z [2022-11-23 01:27:14,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:37.9997332Z [2022-11-23 01:27:14,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9997664Z [2022-11-23 01:27:14,944] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f643d300, file "inductor/test_torchinductor.py", line 3657>
2022-11-23T01:32:37.9997911Z [2022-11-23 01:27:14,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:37.9998147Z [2022-11-23 01:27:14,944] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:37.9998388Z [2022-11-23 01:27:14,947] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:37.9998640Z [2022-11-23 01:27:14,955] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:37.9998827Z [2022-11-23 01:27:14,955] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:37.9998960Z  __compiled_fn_370 <eval_with_key>.2294 opcode, name, target, args, kwargs
2022-11-23T01:32:37.9999055Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:37.9999142Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:37.9999292Z call_function, slice_scatter, aten.slice_scatter, (ex_0_, ex_1_, 0, 0, 9223372036854775807), {}
2022-11-23T01:32:37.9999403Z output, output, output, ((slice_scatter,),), {}
2022-11-23T01:32:37.9999408Z 
2022-11-23T01:32:37.9999683Z [2022-11-23 01:27:14,956] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:37.9999764Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:37.9999854Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:37.9999946Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0000039Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0000116Z               8 RETURN_VALUE
2022-11-23T01:32:38.0000121Z 
2022-11-23T01:32:38.0000182Z  
2022-11-23T01:32:38.0000454Z [2022-11-23 01:27:14,956] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0000549Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_370)
2022-11-23T01:32:38.0000638Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0000781Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0000858Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0000946Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0001033Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0001107Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.0001196Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.0001274Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:38.0001382Z              18 RETURN_VALUE
2022-11-23T01:32:38.0001389Z 
2022-11-23T01:32:38.0001449Z  
2022-11-23T01:32:38.0001633Z [2022-11-23 01:27:14,958] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0001702Z  - 
2022-11-23T01:32:38.0001820Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0001884Z             {
2022-11-23T01:32:38.0002011Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0002195Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.0002317Z                 'obj_weakref': None
2022-11-23T01:32:38.0002540Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0002606Z             }
2022-11-23T01:32:38.0002670Z             
2022-11-23T01:32:38.0002738Z  - 
2022-11-23T01:32:38.0002848Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0002910Z             {
2022-11-23T01:32:38.0003050Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0003157Z                 'code': None,
2022-11-23T01:32:38.0003363Z                 'obj_weakref': <weakref at 0x7f71070c1950; to 'Tensor' at 0x7f7106cfb350>
2022-11-23T01:32:38.0003613Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0003676Z             }
2022-11-23T01:32:38.0003725Z             
2022-11-23T01:32:38.0003793Z  - 
2022-11-23T01:32:38.0003915Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.0003981Z             {
2022-11-23T01:32:38.0004124Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0004230Z                 'code': None,
2022-11-23T01:32:38.0004434Z                 'obj_weakref': <weakref at 0x7f7106cfb890; to 'Tensor' at 0x7f7106cfb050>
2022-11-23T01:32:38.0004666Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0004728Z             }
2022-11-23T01:32:38.0004789Z             
2022-11-23T01:32:38.0004859Z  - 
2022-11-23T01:32:38.0004987Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0005050Z             {
2022-11-23T01:32:38.0005182Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0005337Z                 'code': ['___check_obj_id(model, 140123422019024)'],
2022-11-23T01:32:38.0005455Z                 'obj_weakref': None
2022-11-23T01:32:38.0005681Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0005746Z             }
2022-11-23T01:32:38.0005807Z             
2022-11-23T01:32:38.0005875Z  - 
2022-11-23T01:32:38.0005996Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0006046Z             {
2022-11-23T01:32:38.0006179Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0006394Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0006511Z                 'obj_weakref': None
2022-11-23T01:32:38.0006731Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0006797Z             }
2022-11-23T01:32:38.0006859Z             
2022-11-23T01:32:38.0006914Z  - 
2022-11-23T01:32:38.0007043Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:38.0007105Z             {
2022-11-23T01:32:38.0007224Z                 'guard_types': None,
2022-11-23T01:32:38.0007329Z                 'code': None,
2022-11-23T01:32:38.0007444Z                 'obj_weakref': None
2022-11-23T01:32:38.0007586Z                 'guarded_class': None
2022-11-23T01:32:38.0007648Z             }
2022-11-23T01:32:38.0007709Z             
2022-11-23T01:32:38.0007970Z [2022-11-23 01:27:14,968] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 362
2022-11-23T01:32:38.0008332Z [2022-11-23 01:27:17,519] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zp/czp4cs6t5xn257klavq7xdcf6df2bffrvj5zsr44px3p3g4nvssx.py
2022-11-23T01:32:38.0008622Z [2022-11-23 01:27:17,519] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 362
2022-11-23T01:32:38.0008628Z 
2022-11-23T01:32:38.0008721Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0008790Z import torch
2022-11-23T01:32:38.0008844Z import random
2022-11-23T01:32:38.0008962Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0009082Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0009087Z 
2022-11-23T01:32:38.0009168Z aten = torch.ops.aten
2022-11-23T01:32:38.0009301Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0009391Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0009396Z 
2022-11-23T01:32:38.0009401Z 
2022-11-23T01:32:38.0009534Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0009738Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0009847Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.0009947Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.0010007Z {
2022-11-23T01:32:38.0010103Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0010169Z     {
2022-11-23T01:32:38.0010246Z         #pragma omp for 
2022-11-23T01:32:38.0010328Z         for(long i0=0; i0<37824; i0+=1)
2022-11-23T01:32:38.0010378Z         {
2022-11-23T01:32:38.0010515Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.0010608Z             tmp0.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.0010670Z         }
2022-11-23T01:32:38.0010764Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.0010853Z         for(long i0=605184; i0<605184; i0+=1)
2022-11-23T01:32:38.0010914Z         {
2022-11-23T01:32:38.0010986Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.0011065Z             out_ptr0[i0] = tmp0;
2022-11-23T01:32:38.0011126Z         }
2022-11-23T01:32:38.0011187Z     }
2022-11-23T01:32:38.0011248Z }
2022-11-23T01:32:38.0011325Z ''')
2022-11-23T01:32:38.0011330Z 
2022-11-23T01:32:38.0011335Z 
2022-11-23T01:32:38.0011423Z async_compile.wait(globals())
2022-11-23T01:32:38.0011481Z del async_compile
2022-11-23T01:32:38.0011500Z 
2022-11-23T01:32:38.0011557Z def call(args):
2022-11-23T01:32:38.0011631Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.0011701Z     args.clear()
2022-11-23T01:32:38.0011915Z     buf0 = empty_strided((8, 197, 384), (75648, 384, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0012048Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.0012116Z     del arg1_1
2022-11-23T01:32:38.0012187Z     return (buf0, )
2022-11-23T01:32:38.0012192Z 
2022-11-23T01:32:38.0012196Z 
2022-11-23T01:32:38.0012258Z if __name__ == "__main__":
2022-11-23T01:32:38.0012370Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0012495Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0012714Z     arg0_1 = rand_strided((8, 197, 384), (75648, 384, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0012930Z     arg1_1 = rand_strided((8, 197, 384), (75648, 384, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0013045Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.0013051Z 
2022-11-23T01:32:38.0013118Z ok (2.844s)
2022-11-23T01:32:38.0013433Z   test_slice_scatter_cpu (__main__.CpuTests) ... [2022-11-23 01:27:17,708] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0013752Z [2022-11-23 01:27:17,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0013968Z [2022-11-23 01:27:17,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0014220Z [2022-11-23 01:27:17,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0014533Z [2022-11-23 01:27:17,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0014859Z [2022-11-23 01:27:17,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0015189Z [2022-11-23 01:27:17,709] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f643d1e0, file "inductor/test_torchinductor.py", line 3642> 
2022-11-23T01:32:38.0015288Z  3644           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.0015395Z                2 LOAD_METHOD              1 (slice_scatter)
2022-11-23T01:32:38.0015487Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0015565Z                6 LOAD_FAST                1 (a)
2022-11-23T01:32:38.0015655Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:38.0015751Z               10 LOAD_CONST               2 (10)
2022-11-23T01:32:38.0015891Z               12 LOAD_CONST               3 (-10)
2022-11-23T01:32:38.0015983Z               14 CALL_METHOD              5
2022-11-23T01:32:38.0015989Z 
2022-11-23T01:32:38.0016082Z 3645          16 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.0016186Z               18 LOAD_METHOD              1 (slice_scatter)
2022-11-23T01:32:38.0016275Z               20 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0016351Z               22 LOAD_FAST                1 (a)
2022-11-23T01:32:38.0016442Z               24 LOAD_CONST               0 (None)
2022-11-23T01:32:38.0016531Z               26 LOAD_CONST               0 (None)
2022-11-23T01:32:38.0016623Z               28 BUILD_SLICE              2
2022-11-23T01:32:38.0016714Z               30 LOAD_CONST               0 (None)
2022-11-23T01:32:38.0016807Z               32 LOAD_CONST               0 (None)
2022-11-23T01:32:38.0016896Z               34 BUILD_SLICE              2
2022-11-23T01:32:38.0016972Z               36 LOAD_CONST               0 (None)
2022-11-23T01:32:38.0017062Z               38 LOAD_CONST               4 (40)
2022-11-23T01:32:38.0017154Z               40 BUILD_SLICE              2
2022-11-23T01:32:38.0017247Z               42 BUILD_TUPLE              3
2022-11-23T01:32:38.0017327Z               44 BINARY_SUBSCR
2022-11-23T01:32:38.0017419Z               46 LOAD_CONST               1 (2)
2022-11-23T01:32:38.0017509Z               48 LOAD_CONST               2 (10)
2022-11-23T01:32:38.0017634Z               50 LOAD_CONST               3 (-10)
2022-11-23T01:32:38.0017722Z               52 LOAD_CONST               1 (2)
2022-11-23T01:32:38.0017812Z               54 CALL_METHOD              6
2022-11-23T01:32:38.0017901Z               56 BUILD_TUPLE              2
2022-11-23T01:32:38.0017980Z               58 RETURN_VALUE
2022-11-23T01:32:38.0018043Z  
2022-11-23T01:32:38.0018048Z 
2022-11-23T01:32:38.0018318Z [2022-11-23 01:27:17,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3644
2022-11-23T01:32:38.0018541Z [2022-11-23 01:27:17,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:38.0018849Z [2022-11-23 01:27:17,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.0019112Z [2022-11-23 01:27:17,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.slice_scatter)]
2022-11-23T01:32:38.0019404Z [2022-11-23 01:27:17,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.slice_scatter), TensorVariable()]
2022-11-23T01:32:38.0019755Z [2022-11-23 01:27:17,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0020120Z [2022-11-23 01:27:17,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0020552Z [2022-11-23 01:27:17,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -10 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.0020991Z [2022-11-23 01:27:17,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.0021259Z [2022-11-23 01:27:17,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3645
2022-11-23T01:32:38.0021508Z [2022-11-23 01:27:17,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:38.0021853Z [2022-11-23 01:27:17,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.0022145Z [2022-11-23 01:27:17,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.slice_scatter)]
2022-11-23T01:32:38.0022451Z [2022-11-23 01:27:17,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable()]
2022-11-23T01:32:38.0022800Z [2022-11-23 01:27:17,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0023201Z [2022-11-23 01:27:17,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:38.0023646Z [2022-11-23 01:27:17,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:38.0024026Z [2022-11-23 01:27:17,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable()]
2022-11-23T01:32:38.0024531Z [2022-11-23 01:27:17,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:38.0025003Z [2022-11-23 01:27:17,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)]
2022-11-23T01:32:38.0025414Z [2022-11-23 01:27:17,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:38.0025866Z [2022-11-23 01:27:17,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:38.0026357Z [2022-11-23 01:27:17,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)]
2022-11-23T01:32:38.0026786Z [2022-11-23 01:27:17,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), SliceVariable()]
2022-11-23T01:32:38.0027208Z [2022-11-23 01:27:17,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:38.0027584Z [2022-11-23 01:27:17,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0027970Z [2022-11-23 01:27:17,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0028395Z [2022-11-23 01:27:17,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -10 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.0028860Z [2022-11-23 01:27:17,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.0029364Z [2022-11-23 01:27:17,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 6 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.0029632Z [2022-11-23 01:27:17,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0029864Z [2022-11-23 01:27:17,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0030192Z [2022-11-23 01:27:17,743] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f643d1e0, file "inductor/test_torchinductor.py", line 3642>
2022-11-23T01:32:38.0030435Z [2022-11-23 01:27:17,743] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0030667Z [2022-11-23 01:27:17,743] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0030920Z [2022-11-23 01:27:17,745] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0031174Z [2022-11-23 01:27:17,754] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0031360Z [2022-11-23 01:27:17,755] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0031494Z  __compiled_fn_371 <eval_with_key>.2300 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0031587Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0031660Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.0031866Z call_function, slice_scatter, aten.slice_scatter, (ex_0_, ex_1_, 2, 10, -10), {}
2022-11-23T01:32:38.0032161Z call_function, getitem, <built-in function getitem>, (ex_1_, (slice(None, None, None), slice(None, None, None), slice(None, 40, None))), {}
2022-11-23T01:32:38.0032375Z call_function, slice_scatter_1, aten.slice_scatter, (ex_0_, getitem, 2, 10, -10, 2), {}
2022-11-23T01:32:38.0032501Z output, output, output, ((slice_scatter, slice_scatter_1),), {}
2022-11-23T01:32:38.0032507Z 
2022-11-23T01:32:38.0032783Z [2022-11-23 01:27:17,755] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0032875Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0032965Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0033044Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0033134Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0033211Z               8 RETURN_VALUE
2022-11-23T01:32:38.0033216Z 
2022-11-23T01:32:38.0033310Z  
2022-11-23T01:32:38.0033582Z [2022-11-23 01:27:17,756] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0033689Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_371)
2022-11-23T01:32:38.0033778Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0033856Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0033932Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0034060Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0034148Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0034225Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.0034312Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.0034415Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.0034517Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0034592Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0034669Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.0034769Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0034854Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0034928Z              28 BINARY_SUBSCR
2022-11-23T01:32:38.0035017Z              30 BUILD_TUPLE              2
2022-11-23T01:32:38.0035091Z              32 RETURN_VALUE
2022-11-23T01:32:38.0035097Z 
2022-11-23T01:32:38.0035144Z  
2022-11-23T01:32:38.0035329Z [2022-11-23 01:27:17,757] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0035398Z  - 
2022-11-23T01:32:38.0035516Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0035581Z             {
2022-11-23T01:32:38.0035719Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0035905Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.0036010Z                 'obj_weakref': None
2022-11-23T01:32:38.0036234Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0036299Z             }
2022-11-23T01:32:38.0036363Z             
2022-11-23T01:32:38.0036432Z  - 
2022-11-23T01:32:38.0036554Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0036617Z             {
2022-11-23T01:32:38.0036746Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0036851Z                 'code': None,
2022-11-23T01:32:38.0037061Z                 'obj_weakref': <weakref at 0x7f7106c03c50; to 'Tensor' at 0x7f7106c1da70>
2022-11-23T01:32:38.0037492Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0037558Z             }
2022-11-23T01:32:38.0037620Z             
2022-11-23T01:32:38.0037691Z  - 
2022-11-23T01:32:38.0037799Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.0037861Z             {
2022-11-23T01:32:38.0038003Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0038111Z                 'code': None,
2022-11-23T01:32:38.0038318Z                 'obj_weakref': <weakref at 0x7f7106793bf0; to 'Tensor' at 0x7f7106c1d950>
2022-11-23T01:32:38.0038564Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0038627Z             }
2022-11-23T01:32:38.0038677Z             
2022-11-23T01:32:38.0038744Z  - 
2022-11-23T01:32:38.0038874Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0038940Z             {
2022-11-23T01:32:38.0039074Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0039240Z                 'code': ['___check_obj_id(model, 140123421362368)'],
2022-11-23T01:32:38.0039359Z                 'obj_weakref': None
2022-11-23T01:32:38.0039574Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0039636Z             }
2022-11-23T01:32:38.0039699Z             
2022-11-23T01:32:38.0039767Z  - 
2022-11-23T01:32:38.0039950Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0040014Z             {
2022-11-23T01:32:38.0040149Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0040350Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0040467Z                 'obj_weakref': None
2022-11-23T01:32:38.0040686Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0040784Z             }
2022-11-23T01:32:38.0040848Z             
2022-11-23T01:32:38.0040916Z  - 
2022-11-23T01:32:38.0041050Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:38.0041099Z             {
2022-11-23T01:32:38.0041218Z                 'guard_types': None,
2022-11-23T01:32:38.0041324Z                 'code': None,
2022-11-23T01:32:38.0041440Z                 'obj_weakref': None
2022-11-23T01:32:38.0041563Z                 'guarded_class': None
2022-11-23T01:32:38.0041629Z             }
2022-11-23T01:32:38.0041682Z             
2022-11-23T01:32:38.0041942Z [2022-11-23 01:27:17,771] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 363
2022-11-23T01:32:38.0042309Z [2022-11-23 01:27:20,334] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qi/cqiuq3mx7f5pi6n2c257qwdc5l4liaaputeh2ppm36tpwmbn6uxn.py
2022-11-23T01:32:38.0042573Z [2022-11-23 01:27:20,335] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 363
2022-11-23T01:32:38.0042581Z 
2022-11-23T01:32:38.0042675Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0042744Z import torch
2022-11-23T01:32:38.0042813Z import random
2022-11-23T01:32:38.0042931Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0043038Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0043056Z 
2022-11-23T01:32:38.0043121Z aten = torch.ops.aten
2022-11-23T01:32:38.0043255Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0043352Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0043357Z 
2022-11-23T01:32:38.0043361Z 
2022-11-23T01:32:38.0043495Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0043702Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0043819Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.0043923Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.0044026Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.0044111Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:38.0044171Z {
2022-11-23T01:32:38.0044267Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0044329Z     {
2022-11-23T01:32:38.0044407Z         #pragma omp for 
2022-11-23T01:32:38.0044492Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:38.0044542Z         {
2022-11-23T01:32:38.0044624Z             #pragma GCC ivdep
2022-11-23T01:32:38.0044712Z             for(long i1=0; i1<100; i1+=1)
2022-11-23T01:32:38.0044774Z             {
2022-11-23T01:32:38.0044839Z                 {
2022-11-23T01:32:38.0044907Z                     {
2022-11-23T01:32:38.0045011Z                         auto tmp8 = in_ptr1[i1 + (100*i0)];
2022-11-23T01:32:38.0045101Z                         auto tmp0 = static_cast<int>(i1);
2022-11-23T01:32:38.0045203Z                         auto tmp1 = static_cast<int>(10);
2022-11-23T01:32:38.0045298Z                         auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:32:38.0045398Z                         auto tmp3 = static_cast<int>(90);
2022-11-23T01:32:38.0045492Z                         auto tmp4 = tmp0 < tmp3;
2022-11-23T01:32:38.0045583Z                         auto tmp5 = tmp2 & tmp4;
2022-11-23T01:32:38.0045666Z                         float tmp6 = 0.0;
2022-11-23T01:32:38.0045741Z                         if(tmp5)
2022-11-23T01:32:38.0045796Z                         {
2022-11-23T01:32:38.0045968Z                             auto tmp7 = in_ptr0[(-10) + i1 + (80*i0)];
2022-11-23T01:32:38.0046086Z                             tmp6 = tmp7;
2022-11-23T01:32:38.0046154Z                         }
2022-11-23T01:32:38.0046251Z                         auto tmp9 = tmp5 ? tmp6 : tmp8;
2022-11-23T01:32:38.0046363Z                         auto tmp10 = static_cast<int>(i1 % 2);
2022-11-23T01:32:38.0046463Z                         auto tmp11 = static_cast<int>(0);
2022-11-23T01:32:38.0046547Z                         auto tmp12 = tmp10 == tmp11;
2022-11-23T01:32:38.0046665Z                         auto tmp13 = tmp5 & tmp12;
2022-11-23T01:32:38.0046751Z                         float tmp14 = 0.0;
2022-11-23T01:32:38.0046826Z                         if(tmp13)
2022-11-23T01:32:38.0046898Z                         {
2022-11-23T01:32:38.0047079Z                             auto tmp15 = in_ptr0[(-5) + (80*i0) + (i1 / 2)];
2022-11-23T01:32:38.0047162Z                             tmp14 = tmp15;
2022-11-23T01:32:38.0047217Z                         }
2022-11-23T01:32:38.0047321Z                         auto tmp16 = tmp13 ? tmp14 : tmp8;
2022-11-23T01:32:38.0047416Z                         out_ptr0[i1 + (100*i0)] = tmp9;
2022-11-23T01:32:38.0047512Z                         out_ptr1[i1 + (100*i0)] = tmp16;
2022-11-23T01:32:38.0047578Z                     }
2022-11-23T01:32:38.0047641Z                 }
2022-11-23T01:32:38.0047702Z             }
2022-11-23T01:32:38.0047752Z         }
2022-11-23T01:32:38.0047813Z     }
2022-11-23T01:32:38.0047876Z }
2022-11-23T01:32:38.0047954Z ''')
2022-11-23T01:32:38.0047959Z 
2022-11-23T01:32:38.0047963Z 
2022-11-23T01:32:38.0048052Z async_compile.wait(globals())
2022-11-23T01:32:38.0048122Z del async_compile
2022-11-23T01:32:38.0048127Z 
2022-11-23T01:32:38.0048197Z def call(args):
2022-11-23T01:32:38.0048259Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.0048328Z     args.clear()
2022-11-23T01:32:38.0048541Z     buf0 = empty_strided((4, 8, 100), (800, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0048751Z     buf1 = empty_strided((4, 8, 100), (800, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0048943Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:38.0049010Z     del arg0_1
2022-11-23T01:32:38.0049075Z     del arg1_1
2022-11-23T01:32:38.0049138Z     return (buf0, buf1, )
2022-11-23T01:32:38.0049158Z 
2022-11-23T01:32:38.0049162Z 
2022-11-23T01:32:38.0049225Z if __name__ == "__main__":
2022-11-23T01:32:38.0049340Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0049461Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0049669Z     arg0_1 = rand_strided((4, 8, 100), (800, 100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0049876Z     arg1_1 = rand_strided((4, 8, 80), (640, 80, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0049988Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.0049993Z 
2022-11-23T01:32:38.0050062Z ok (2.646s)
2022-11-23T01:32:38.0050364Z   test_softmax_cpu (__main__.CpuTests) ... [2022-11-23 01:27:20,357] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0050620Z [2022-11-23 01:27:20,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0050839Z [2022-11-23 01:27:20,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0051092Z [2022-11-23 01:27:20,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0051377Z [2022-11-23 01:27:20,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0051697Z [2022-11-23 01:27:20,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0052024Z [2022-11-23 01:27:20,358] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f647b540, file "inductor/test_torchinductor.py", line 1230> 
2022-11-23T01:32:38.0052150Z  1231           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0052248Z                2 LOAD_METHOD              1 (softmax)
2022-11-23T01:32:38.0052339Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:38.0052417Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:38.0052490Z                8 BINARY_ADD
2022-11-23T01:32:38.0052654Z               10 LOAD_CONST               1 (-1)
2022-11-23T01:32:38.0052742Z               12 CALL_METHOD              2
2022-11-23T01:32:38.0052835Z               14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0052929Z               16 LOAD_METHOD              1 (softmax)
2022-11-23T01:32:38.0053019Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:38.0053094Z               20 LOAD_CONST               2 (0)
2022-11-23T01:32:38.0053180Z               22 CALL_METHOD              2
2022-11-23T01:32:38.0053275Z               24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0053368Z               26 LOAD_METHOD              1 (softmax)
2022-11-23T01:32:38.0053456Z               28 LOAD_FAST                1 (b)
2022-11-23T01:32:38.0053541Z               30 LOAD_CONST               3 (1)
2022-11-23T01:32:38.0053628Z               32 CALL_METHOD              2
2022-11-23T01:32:38.0053703Z               34 BUILD_TUPLE              3
2022-11-23T01:32:38.0053780Z               36 RETURN_VALUE
2022-11-23T01:32:38.0053841Z  
2022-11-23T01:32:38.0053846Z 
2022-11-23T01:32:38.0054116Z [2022-11-23 01:27:20,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1231
2022-11-23T01:32:38.0054336Z [2022-11-23 01:27:20,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.0054706Z [2022-11-23 01:27:20,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0055032Z [2022-11-23 01:27:20,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method softmax of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.0055381Z [2022-11-23 01:27:20,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method softmax of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.0055768Z [2022-11-23 01:27:20,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method softmax of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0056121Z [2022-11-23 01:27:20,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method softmax of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.0056514Z [2022-11-23 01:27:20,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method softmax of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0056752Z [2022-11-23 01:27:20,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:38.0057145Z [2022-11-23 01:27:20,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0057495Z [2022-11-23 01:27:20,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.0057877Z [2022-11-23 01:27:20,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.0058298Z [2022-11-23 01:27:20,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0058604Z [2022-11-23 01:27:20,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0059057Z [2022-11-23 01:27:20,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0059441Z [2022-11-23 01:27:20,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.0059850Z [2022-11-23 01:27:20,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.0060305Z [2022-11-23 01:27:20,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method softmax of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0060602Z [2022-11-23 01:27:20,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0060851Z [2022-11-23 01:27:20,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0061181Z [2022-11-23 01:27:20,396] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f647b540, file "inductor/test_torchinductor.py", line 1230>
2022-11-23T01:32:38.0061412Z [2022-11-23 01:27:20,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0061647Z [2022-11-23 01:27:20,396] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0061904Z [2022-11-23 01:27:20,399] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0062154Z [2022-11-23 01:27:20,425] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0062343Z [2022-11-23 01:27:20,425] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0062478Z  __compiled_fn_372 <eval_with_key>.2306 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0062573Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0062663Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.0062828Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.0063068Z call_function, softmax, <built-in method softmax of type object at 0x7f71f2abebc0>, (add, -1), {}
2022-11-23T01:32:38.0063309Z call_function, softmax_1, <built-in method softmax of type object at 0x7f71f2abebc0>, (ex_0_, 0), {}
2022-11-23T01:32:38.0063546Z call_function, softmax_2, <built-in method softmax of type object at 0x7f71f2abebc0>, (ex_1_, 1), {}
2022-11-23T01:32:38.0063676Z output, output, output, ((softmax, softmax_1, softmax_2),), {}
2022-11-23T01:32:38.0063681Z 
2022-11-23T01:32:38.0063960Z [2022-11-23 01:27:20,426] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0064055Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0064150Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0064246Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0064325Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0064402Z               8 RETURN_VALUE
2022-11-23T01:32:38.0064408Z 
2022-11-23T01:32:38.0064554Z  
2022-11-23T01:32:38.0064831Z [2022-11-23 01:27:20,426] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0064938Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_372)
2022-11-23T01:32:38.0065067Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0065158Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0065226Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0065316Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0065405Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0065482Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.0065575Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.0065708Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.0065812Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0065888Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0065965Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.0066068Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0066157Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0066234Z              28 BINARY_SUBSCR
2022-11-23T01:32:38.0066338Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0066429Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:38.0066506Z              34 BINARY_SUBSCR
2022-11-23T01:32:38.0066582Z              36 BUILD_TUPLE              3
2022-11-23T01:32:38.0066658Z              38 RETURN_VALUE
2022-11-23T01:32:38.0066663Z 
2022-11-23T01:32:38.0066722Z  
2022-11-23T01:32:38.0066909Z [2022-11-23 01:27:20,428] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0066979Z  - 
2022-11-23T01:32:38.0067100Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0067164Z             {
2022-11-23T01:32:38.0067291Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0067477Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.0067597Z                 'obj_weakref': None
2022-11-23T01:32:38.0067821Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0067888Z             }
2022-11-23T01:32:38.0067951Z             
2022-11-23T01:32:38.0068020Z  - 
2022-11-23T01:32:38.0068129Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0068190Z             {
2022-11-23T01:32:38.0068331Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0068440Z                 'code': None,
2022-11-23T01:32:38.0068649Z                 'obj_weakref': <weakref at 0x7f70f2d80cb0; to 'Tensor' at 0x7f71070c8c50>
2022-11-23T01:32:38.0068898Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0068961Z             }
2022-11-23T01:32:38.0069012Z             
2022-11-23T01:32:38.0069082Z  - 
2022-11-23T01:32:38.0069206Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.0069268Z             {
2022-11-23T01:32:38.0069409Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0069514Z                 'code': None,
2022-11-23T01:32:38.0069722Z                 'obj_weakref': <weakref at 0x7f71188ff7d0; to 'Tensor' at 0x7f7129f5a590>
2022-11-23T01:32:38.0069956Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0070020Z             }
2022-11-23T01:32:38.0070083Z             
2022-11-23T01:32:38.0070152Z  - 
2022-11-23T01:32:38.0070280Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0070342Z             {
2022-11-23T01:32:38.0070475Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0070631Z                 'code': ['___check_obj_id(model, 140123418115104)'],
2022-11-23T01:32:38.0070796Z                 'obj_weakref': None
2022-11-23T01:32:38.0071021Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0071085Z             }
2022-11-23T01:32:38.0071148Z             
2022-11-23T01:32:38.0071215Z  - 
2022-11-23T01:32:38.0071335Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0071414Z             {
2022-11-23T01:32:38.0071548Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0071769Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0071886Z                 'obj_weakref': None
2022-11-23T01:32:38.0072101Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0072164Z             }
2022-11-23T01:32:38.0072256Z             
2022-11-23T01:32:38.0072313Z  - 
2022-11-23T01:32:38.0072444Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.0072506Z             {
2022-11-23T01:32:38.0072623Z                 'guard_types': None,
2022-11-23T01:32:38.0072727Z                 'code': None,
2022-11-23T01:32:38.0072844Z                 'obj_weakref': None
2022-11-23T01:32:38.0072951Z                 'guarded_class': None
2022-11-23T01:32:38.0073013Z             }
2022-11-23T01:32:38.0073074Z             
2022-11-23T01:32:38.0073335Z [2022-11-23 01:27:20,460] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 364
2022-11-23T01:32:38.0073703Z [2022-11-23 01:27:23,633] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4n/c4n34fu3g4vbeqdfvh2idcj5akbrgteynvjezeidalvsnwl6ojwg.py
2022-11-23T01:32:38.0073966Z [2022-11-23 01:27:23,633] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 364
2022-11-23T01:32:38.0073972Z 
2022-11-23T01:32:38.0074067Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0074134Z import torch
2022-11-23T01:32:38.0074190Z import random
2022-11-23T01:32:38.0074304Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0074423Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0074428Z 
2022-11-23T01:32:38.0074504Z aten = torch.ops.aten
2022-11-23T01:32:38.0074636Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0074726Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0074734Z 
2022-11-23T01:32:38.0074738Z 
2022-11-23T01:32:38.0074870Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0075073Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0075177Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:38.0075279Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:32:38.0075381Z                        float* __restrict__ in_out_ptr2,
2022-11-23T01:32:38.0075482Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.0075585Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.0075685Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.0075781Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:38.0075874Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:38.0075954Z                        float* __restrict__ out_ptr6,
2022-11-23T01:32:38.0076047Z                        float* __restrict__ out_ptr7,
2022-11-23T01:32:38.0076140Z                        float* __restrict__ out_ptr8)
2022-11-23T01:32:38.0076201Z {
2022-11-23T01:32:38.0076286Z     auto out_ptr3 = in_out_ptr0;
2022-11-23T01:32:38.0076368Z     auto out_ptr4 = in_out_ptr1;
2022-11-23T01:32:38.0076449Z     auto out_ptr5 = in_out_ptr2;
2022-11-23T01:32:38.0076533Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0076594Z     {
2022-11-23T01:32:38.0076675Z         #pragma omp for 
2022-11-23T01:32:38.0076756Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.0076819Z         {
2022-11-23T01:32:38.0076884Z             {
2022-11-23T01:32:38.0076937Z                 {
2022-11-23T01:32:38.0077290Z                     float tmp3 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:38.0077502Z                     float tmp4 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:38.0077595Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:38.0077718Z                     {
2022-11-23T01:32:38.0077791Z                         {
2022-11-23T01:32:38.0077898Z                             auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:38.0078001Z                             auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:32:38.0078086Z                             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.0078189Z                             tmp3 = std::max(tmp3, tmp2);
2022-11-23T01:32:38.0078340Z                             tmp4 = std::max(tmp4, tmp1);
2022-11-23T01:32:38.0078411Z                         }
2022-11-23T01:32:38.0078476Z                     }
2022-11-23T01:32:38.0078562Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:38.0078646Z                     out_ptr1[i0] = tmp4;
2022-11-23T01:32:38.0078698Z                 }
2022-11-23T01:32:38.0078761Z             }
2022-11-23T01:32:38.0078824Z         }
2022-11-23T01:32:38.0078904Z         #pragma omp for 
2022-11-23T01:32:38.0078984Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.0079047Z         {
2022-11-23T01:32:38.0079109Z             {
2022-11-23T01:32:38.0079159Z                 {
2022-11-23T01:32:38.0079367Z                     float tmp1 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:38.0079458Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:38.0079525Z                     {
2022-11-23T01:32:38.0079595Z                         {
2022-11-23T01:32:38.0079700Z                             auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T01:32:38.0079805Z                             tmp1 = std::max(tmp1, tmp0);
2022-11-23T01:32:38.0079859Z                         }
2022-11-23T01:32:38.0079925Z                     }
2022-11-23T01:32:38.0080008Z                     out_ptr2[i0] = tmp1;
2022-11-23T01:32:38.0080074Z                 }
2022-11-23T01:32:38.0080136Z             }
2022-11-23T01:32:38.0080199Z         }
2022-11-23T01:32:38.0080263Z         #pragma omp for 
2022-11-23T01:32:38.0080345Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.0080409Z         {
2022-11-23T01:32:38.0080472Z             {
2022-11-23T01:32:38.0080536Z                 {
2022-11-23T01:32:38.0080621Z                     float tmp12 = 0;
2022-11-23T01:32:38.0080711Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:38.0080764Z                     {
2022-11-23T01:32:38.0080831Z                         {
2022-11-23T01:32:38.0080932Z                             auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:38.0081035Z                             auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:32:38.0081133Z                             auto tmp3 = out_ptr0[i0];
2022-11-23T01:32:38.0081226Z                             auto tmp6 = out_ptr2[i1];
2022-11-23T01:32:38.0081320Z                             auto tmp9 = out_ptr1[i0];
2022-11-23T01:32:38.0081403Z                             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.0081542Z                             auto tmp4 = tmp2 - tmp3;
2022-11-23T01:32:38.0081644Z                             auto tmp5 = std::exp(tmp4);
2022-11-23T01:32:38.0081786Z                             auto tmp7 = tmp0 - tmp6;
2022-11-23T01:32:38.0081886Z                             auto tmp8 = std::exp(tmp7);
2022-11-23T01:32:38.0082029Z                             auto tmp10 = tmp1 - tmp9;
2022-11-23T01:32:38.0082132Z                             auto tmp11 = std::exp(tmp10);
2022-11-23T01:32:38.0082226Z                             out_ptr3[i1 + (8*i0)] = tmp5;
2022-11-23T01:32:38.0082310Z                             out_ptr4[i1 + (8*i0)] = tmp8;
2022-11-23T01:32:38.0082405Z                             out_ptr5[i1 + (8*i0)] = tmp11;
2022-11-23T01:32:38.0082489Z                             tmp12 += tmp5;
2022-11-23T01:32:38.0082557Z                         }
2022-11-23T01:32:38.0082623Z                     }
2022-11-23T01:32:38.0082707Z                     out_ptr6[i0] = tmp12;
2022-11-23T01:32:38.0082775Z                 }
2022-11-23T01:32:38.0082825Z             }
2022-11-23T01:32:38.0082887Z         }
2022-11-23T01:32:38.0082992Z         #pragma omp for 
2022-11-23T01:32:38.0083071Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.0083132Z         {
2022-11-23T01:32:38.0083193Z             {
2022-11-23T01:32:38.0083257Z                 {
2022-11-23T01:32:38.0083324Z                     float tmp1 = 0;
2022-11-23T01:32:38.0083413Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:38.0083478Z                     {
2022-11-23T01:32:38.0083544Z                         {
2022-11-23T01:32:38.0083674Z                             auto tmp0 = out_ptr4[i0 + (8*i1)];
2022-11-23T01:32:38.0083756Z                             tmp1 += tmp0;
2022-11-23T01:32:38.0083825Z                         }
2022-11-23T01:32:38.0083878Z                     }
2022-11-23T01:32:38.0083962Z                     out_ptr7[i0] = tmp1;
2022-11-23T01:32:38.0084026Z                 }
2022-11-23T01:32:38.0084088Z             }
2022-11-23T01:32:38.0084149Z         }
2022-11-23T01:32:38.0084224Z         #pragma omp for 
2022-11-23T01:32:38.0084294Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.0084355Z         {
2022-11-23T01:32:38.0084417Z             {
2022-11-23T01:32:38.0084480Z                 {
2022-11-23T01:32:38.0084558Z                     float tmp1 = 0;
2022-11-23T01:32:38.0084645Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:38.0084711Z                     {
2022-11-23T01:32:38.0084764Z                         {
2022-11-23T01:32:38.0084869Z                             auto tmp0 = out_ptr5[i1 + (8*i0)];
2022-11-23T01:32:38.0084950Z                             tmp1 += tmp0;
2022-11-23T01:32:38.0085016Z                         }
2022-11-23T01:32:38.0085081Z                     }
2022-11-23T01:32:38.0085165Z                     out_ptr8[i0] = tmp1;
2022-11-23T01:32:38.0085229Z                 }
2022-11-23T01:32:38.0085278Z             }
2022-11-23T01:32:38.0085339Z         }
2022-11-23T01:32:38.0085414Z         #pragma omp for 
2022-11-23T01:32:38.0085492Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.0085557Z         {
2022-11-23T01:32:38.0085637Z             #pragma GCC ivdep
2022-11-23T01:32:38.0085708Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:38.0085769Z             {
2022-11-23T01:32:38.0085832Z                 {
2022-11-23T01:32:38.0085897Z                     {
2022-11-23T01:32:38.0086000Z                         auto tmp0 = out_ptr3[i1 + (8*i0)];
2022-11-23T01:32:38.0086098Z                         auto tmp1 = out_ptr6[i0];
2022-11-23T01:32:38.0086192Z                         auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:38.0086277Z                         in_out_ptr0[i1 + (8*i0)] = tmp2;
2022-11-23T01:32:38.0086341Z                     }
2022-11-23T01:32:38.0086404Z                 }
2022-11-23T01:32:38.0086466Z             }
2022-11-23T01:32:38.0086527Z         }
2022-11-23T01:32:38.0086602Z         #pragma omp for 
2022-11-23T01:32:38.0086681Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.0086730Z         {
2022-11-23T01:32:38.0086809Z             #pragma GCC ivdep
2022-11-23T01:32:38.0086892Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:38.0086955Z             {
2022-11-23T01:32:38.0087020Z                 {
2022-11-23T01:32:38.0087085Z                     {
2022-11-23T01:32:38.0087186Z                         auto tmp0 = out_ptr4[i1 + (8*i0)];
2022-11-23T01:32:38.0087267Z                         auto tmp1 = out_ptr7[i1];
2022-11-23T01:32:38.0087361Z                         auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:38.0087460Z                         in_out_ptr1[i1 + (8*i0)] = tmp2;
2022-11-23T01:32:38.0087526Z                     }
2022-11-23T01:32:38.0087588Z                 }
2022-11-23T01:32:38.0087651Z             }
2022-11-23T01:32:38.0087713Z         }
2022-11-23T01:32:38.0087776Z         #pragma omp for 
2022-11-23T01:32:38.0087855Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.0087916Z         {
2022-11-23T01:32:38.0087994Z             #pragma GCC ivdep
2022-11-23T01:32:38.0088075Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:38.0088167Z             {
2022-11-23T01:32:38.0088218Z                 {
2022-11-23T01:32:38.0088282Z                     {
2022-11-23T01:32:38.0088385Z                         auto tmp0 = out_ptr5[i1 + (8*i0)];
2022-11-23T01:32:38.0088477Z                         auto tmp1 = out_ptr8[i0];
2022-11-23T01:32:38.0088573Z                         auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:38.0088669Z                         in_out_ptr2[i1 + (8*i0)] = tmp2;
2022-11-23T01:32:38.0088734Z                     }
2022-11-23T01:32:38.0088812Z                 }
2022-11-23T01:32:38.0088875Z             }
2022-11-23T01:32:38.0088937Z         }
2022-11-23T01:32:38.0089001Z     }
2022-11-23T01:32:38.0089060Z }
2022-11-23T01:32:38.0089142Z ''')
2022-11-23T01:32:38.0089149Z 
2022-11-23T01:32:38.0089153Z 
2022-11-23T01:32:38.0089242Z async_compile.wait(globals())
2022-11-23T01:32:38.0089301Z del async_compile
2022-11-23T01:32:38.0089306Z 
2022-11-23T01:32:38.0089373Z def call(args):
2022-11-23T01:32:38.0089447Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.0089520Z     args.clear()
2022-11-23T01:32:38.0089715Z     buf0 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0089909Z     buf6 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0090101Z     buf3 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0090290Z     buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0090465Z     buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0090651Z     buf7 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0090837Z     buf2 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0091022Z     buf5 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0091206Z     buf8 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0091295Z     buf9 = buf1; del buf1  # reuse
2022-11-23T01:32:38.0091384Z     buf10 = buf4; del buf4  # reuse
2022-11-23T01:32:38.0091455Z     buf11 = buf7; del buf7  # reuse
2022-11-23T01:32:38.0091813Z     kernel_cpp_0(c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr()), c_void_p(buf11.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf8.data_ptr()))
2022-11-23T01:32:38.0091883Z     del arg0_1
2022-11-23T01:32:38.0091949Z     del arg1_1
2022-11-23T01:32:38.0092035Z     return (buf9, buf10, buf11, )
2022-11-23T01:32:38.0092040Z 
2022-11-23T01:32:38.0092046Z 
2022-11-23T01:32:38.0092122Z if __name__ == "__main__":
2022-11-23T01:32:38.0092237Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0092363Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0092559Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0092741Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0092857Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.0092861Z 
2022-11-23T01:32:38.0092929Z ok (3.293s)
2022-11-23T01:32:38.0093257Z   test_softmax_one_kernel_cpu (__main__.CpuTests) ... [2022-11-23 01:27:23,646] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0093535Z [2022-11-23 01:27:23,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0093756Z [2022-11-23 01:27:23,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0094009Z [2022-11-23 01:27:23,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0094294Z [2022-11-23 01:27:23,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0094650Z [2022-11-23 01:27:23,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0094963Z [2022-11-23 01:27:23,647] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6415930, file "inductor/test_torchinductor.py", line 2345> 
2022-11-23T01:32:38.0095057Z  2346           0 LOAD_CONST               1 (1)
2022-11-23T01:32:38.0095186Z                2 STORE_FAST               1 (dim)
2022-11-23T01:32:38.0095191Z 
2022-11-23T01:32:38.0095288Z 2347           4 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0095377Z                6 LOAD_ATTR                1 (amax)
2022-11-23T01:32:38.0095469Z                8 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0095561Z               10 LOAD_FAST                1 (dim)
2022-11-23T01:32:38.0095653Z               12 LOAD_CONST               2 (True)
2022-11-23T01:32:38.0095794Z               14 LOAD_CONST               3 (('keepdim',))
2022-11-23T01:32:38.0095888Z               16 CALL_FUNCTION_KW         3
2022-11-23T01:32:38.0095981Z               18 STORE_FAST               2 (x_max)
2022-11-23T01:32:38.0095986Z 
2022-11-23T01:32:38.0096078Z 2348          20 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0096172Z               22 LOAD_METHOD              2 (exp)
2022-11-23T01:32:38.0096264Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0096359Z               26 LOAD_FAST                2 (x_max)
2022-11-23T01:32:38.0096427Z               28 BINARY_MULTIPLY
2022-11-23T01:32:38.0096518Z               30 CALL_METHOD              1
2022-11-23T01:32:38.0096623Z               32 STORE_FAST               3 (unnormalized)
2022-11-23T01:32:38.0096628Z 
2022-11-23T01:32:38.0096731Z 2349          34 LOAD_FAST                3 (unnormalized)
2022-11-23T01:32:38.0096825Z               36 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0096917Z               38 LOAD_ATTR                3 (sum)
2022-11-23T01:32:38.0097021Z               40 LOAD_FAST                3 (unnormalized)
2022-11-23T01:32:38.0097112Z               42 LOAD_FAST                1 (dim)
2022-11-23T01:32:38.0097191Z               44 LOAD_CONST               2 (True)
2022-11-23T01:32:38.0097341Z               46 LOAD_CONST               3 (('keepdim',))
2022-11-23T01:32:38.0097483Z               48 CALL_FUNCTION_KW         3
2022-11-23T01:32:38.0097567Z               50 BINARY_TRUE_DIVIDE
2022-11-23T01:32:38.0097663Z               52 STORE_FAST               4 (result)
2022-11-23T01:32:38.0097668Z 
2022-11-23T01:32:38.0097759Z 2350          54 LOAD_FAST                4 (result)
2022-11-23T01:32:38.0097837Z               56 RETURN_VALUE
2022-11-23T01:32:38.0097885Z  
2022-11-23T01:32:38.0097903Z 
2022-11-23T01:32:38.0098162Z [2022-11-23 01:27:23,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2346
2022-11-23T01:32:38.0098373Z [2022-11-23 01:27:23,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 []
2022-11-23T01:32:38.0098626Z [2022-11-23 01:27:23,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST dim [ConstantVariable(int)]
2022-11-23T01:32:38.0098893Z [2022-11-23 01:27:23,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2347
2022-11-23T01:32:38.0099109Z [2022-11-23 01:27:23,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.0099473Z [2022-11-23 01:27:23,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0099792Z [2022-11-23 01:27:23,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method amax of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.0100139Z [2022-11-23 01:27:23,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(<built-in method amax of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.0100561Z [2022-11-23 01:27:23,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<built-in method amax of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0101031Z [2022-11-23 01:27:23,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TorchVariable(<built-in method amax of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:38.0101503Z [2022-11-23 01:27:23,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method amax of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:38.0101736Z [2022-11-23 01:27:23,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x_max [TensorVariable()]
2022-11-23T01:32:38.0102000Z [2022-11-23 01:27:23,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2348
2022-11-23T01:32:38.0102220Z [2022-11-23 01:27:23,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.0102580Z [2022-11-23 01:27:23,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR exp [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0102894Z [2022-11-23 01:27:23,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method exp of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.0103238Z [2022-11-23 01:27:23,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x_max [TorchVariable(<built-in method exp of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.0103631Z [2022-11-23 01:27:23,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(<built-in method exp of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0103976Z [2022-11-23 01:27:23,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method exp of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.0104232Z [2022-11-23 01:27:23,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST unnormalized [TensorVariable()]
2022-11-23T01:32:38.0104566Z [2022-11-23 01:27:23,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2349
2022-11-23T01:32:38.0104798Z [2022-11-23 01:27:23,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST unnormalized []
2022-11-23T01:32:38.0105030Z [2022-11-23 01:27:23,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:38.0105416Z [2022-11-23 01:27:23,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0105784Z [2022-11-23 01:27:23,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST unnormalized [TensorVariable(), TorchVariable(<built-in method sum of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.0106160Z [2022-11-23 01:27:23,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TensorVariable(), TorchVariable(<built-in method sum of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.0106577Z [2022-11-23 01:27:23,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TorchVariable(<built-in method sum of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0107044Z [2022-11-23 01:27:23,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TorchVariable(<built-in method sum of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:38.0107543Z [2022-11-23 01:27:23,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(<built-in method sum of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:38.0107866Z [2022-11-23 01:27:23,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0108175Z [2022-11-23 01:27:23,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST result [TensorVariable()]
2022-11-23T01:32:38.0108442Z [2022-11-23 01:27:23,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2350
2022-11-23T01:32:38.0108657Z [2022-11-23 01:27:23,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST result []
2022-11-23T01:32:38.0108901Z [2022-11-23 01:27:23,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.0109214Z [2022-11-23 01:27:23,661] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6415930, file "inductor/test_torchinductor.py", line 2345>
2022-11-23T01:32:38.0109462Z [2022-11-23 01:27:23,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.0109695Z [2022-11-23 01:27:23,661] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0109949Z [2022-11-23 01:27:23,663] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0110200Z [2022-11-23 01:27:23,671] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0110387Z [2022-11-23 01:27:23,671] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0110521Z  __compiled_fn_373 <eval_with_key>.2312 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0110610Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0110859Z call_function, amax, <built-in method amax of type object at 0x7f71f2abebc0>, (ex_0_, 1), {'keepdim': True}
2022-11-23T01:32:38.0111024Z call_function, mul, <built-in function mul>, (ex_0_, amax), {}
2022-11-23T01:32:38.0111241Z call_function, exp, <built-in method exp of type object at 0x7f71f2abebc0>, (mul,), {}
2022-11-23T01:32:38.0111488Z call_function, sum_1, <built-in method sum of type object at 0x7f71f2abebc0>, (exp, 1), {'keepdim': True}
2022-11-23T01:32:38.0111678Z call_function, truediv, <built-in function truediv>, (exp, sum_1), {}
2022-11-23T01:32:38.0111781Z output, output, output, ((truediv,),), {}
2022-11-23T01:32:38.0111787Z 
2022-11-23T01:32:38.0112062Z [2022-11-23 01:27:23,672] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0112155Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0112246Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0112325Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0112413Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0112490Z               8 RETURN_VALUE
2022-11-23T01:32:38.0112496Z 
2022-11-23T01:32:38.0112559Z  
2022-11-23T01:32:38.0112831Z [2022-11-23 01:27:23,672] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0112935Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_373)
2022-11-23T01:32:38.0113024Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0113115Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0113180Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0113267Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.0113357Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:38.0113432Z              12 RETURN_VALUE
2022-11-23T01:32:38.0113437Z 
2022-11-23T01:32:38.0113496Z  
2022-11-23T01:32:38.0113676Z [2022-11-23 01:27:23,673] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0113744Z  - 
2022-11-23T01:32:38.0113883Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0113946Z             {
2022-11-23T01:32:38.0114087Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0114273Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.0114394Z                 'obj_weakref': None
2022-11-23T01:32:38.0114616Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0114682Z             }
2022-11-23T01:32:38.0114758Z             
2022-11-23T01:32:38.0114827Z  - 
2022-11-23T01:32:38.0114950Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0115012Z             {
2022-11-23T01:32:38.0115152Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0115257Z                 'code': None,
2022-11-23T01:32:38.0115464Z                 'obj_weakref': <weakref at 0x7f71188ffe30; to 'Tensor' at 0x7f7106f34170>
2022-11-23T01:32:38.0115700Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0115764Z             }
2022-11-23T01:32:38.0115826Z             
2022-11-23T01:32:38.0115894Z  - 
2022-11-23T01:32:38.0116025Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0116089Z             {
2022-11-23T01:32:38.0116221Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0116377Z                 'code': ['___check_obj_id(model, 140123418625232)'],
2022-11-23T01:32:38.0116496Z                 'obj_weakref': None
2022-11-23T01:32:38.0116725Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0116792Z             }
2022-11-23T01:32:38.0116854Z             
2022-11-23T01:32:38.0116921Z  - 
2022-11-23T01:32:38.0117041Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0117092Z             {
2022-11-23T01:32:38.0117475Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0117694Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0117814Z                 'obj_weakref': None
2022-11-23T01:32:38.0118033Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0118096Z             }
2022-11-23T01:32:38.0118159Z             
2022-11-23T01:32:38.0118214Z  - 
2022-11-23T01:32:38.0118347Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.0118410Z             {
2022-11-23T01:32:38.0118530Z                 'guard_types': None,
2022-11-23T01:32:38.0118635Z                 'code': None,
2022-11-23T01:32:38.0118754Z                 'obj_weakref': None
2022-11-23T01:32:38.0118876Z                 'guarded_class': None
2022-11-23T01:32:38.0118925Z             }
2022-11-23T01:32:38.0118987Z             
2022-11-23T01:32:38.0119246Z [2022-11-23 01:27:23,686] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 365
2022-11-23T01:32:38.0119613Z [2022-11-23 01:27:26,312] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fw/cfwlo7v6x2a4ld5gp4g3zuxs7t2ruaughas73jykwlsbxt4miygo.py
2022-11-23T01:32:38.0119876Z [2022-11-23 01:27:26,312] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 365
2022-11-23T01:32:38.0119882Z 
2022-11-23T01:32:38.0119975Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0120045Z import torch
2022-11-23T01:32:38.0120115Z import random
2022-11-23T01:32:38.0120219Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0120340Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0120345Z 
2022-11-23T01:32:38.0120422Z aten = torch.ops.aten
2022-11-23T01:32:38.0120556Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0120647Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0120652Z 
2022-11-23T01:32:38.0120656Z 
2022-11-23T01:32:38.0120788Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0120992Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0121170Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:38.0121261Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.0121359Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.0121456Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:38.0121518Z {
2022-11-23T01:32:38.0121650Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:32:38.0121750Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0121812Z     {
2022-11-23T01:32:38.0121875Z         #pragma omp for 
2022-11-23T01:32:38.0121956Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:38.0122019Z         {
2022-11-23T01:32:38.0122082Z             {
2022-11-23T01:32:38.0122469Z                 #pragma omp declare reduction(max:at::vec::Vectorized<float>:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits<float>::infinity()}})
2022-11-23T01:32:38.0122691Z                 float tmp1 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:38.0122811Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:32:38.0122900Z                 for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:38.0122953Z                 {
2022-11-23T01:32:38.0123095Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (16*i1) + (32*i0));
2022-11-23T01:32:38.0123214Z                     tmp1_vec = at::vec::maximum(tmp1_vec, tmp0);
2022-11-23T01:32:38.0123277Z                 }
2022-11-23T01:32:38.0123487Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return at::vec::maximum(x, y);}, tmp1_vec);
2022-11-23T01:32:38.0123608Z                 #pragma omp simd simdlen(8)  reduction(max:tmp1)
2022-11-23T01:32:38.0123702Z                 for(long i1=32; i1<32; i1+=1)
2022-11-23T01:32:38.0123767Z                 {
2022-11-23T01:32:38.0123855Z                     auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:32:38.0123954Z                     tmp1 = std::max(tmp1, tmp0);
2022-11-23T01:32:38.0124018Z                 }
2022-11-23T01:32:38.0124100Z                 out_ptr0[i0] = tmp1;
2022-11-23T01:32:38.0124163Z             }
2022-11-23T01:32:38.0124225Z         }
2022-11-23T01:32:38.0124302Z         #pragma omp for 
2022-11-23T01:32:38.0124371Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:38.0124432Z         {
2022-11-23T01:32:38.0124496Z             {
2022-11-23T01:32:38.0124683Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:38.0124761Z                 float tmp4 = 0;
2022-11-23T01:32:38.0124880Z                 auto tmp4_vec = at::vec::Vectorized<float>(tmp4);
2022-11-23T01:32:38.0124970Z                 for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:38.0125023Z                 {
2022-11-23T01:32:38.0125164Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (16*i1) + (32*i0));
2022-11-23T01:32:38.0125292Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T01:32:38.0125384Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.0125476Z                     auto tmp3 = tmp2.exp();
2022-11-23T01:32:38.0125582Z                     tmp3.store(out_ptr1 + (16*i1) + (32*i0));
2022-11-23T01:32:38.0125663Z                     tmp4_vec += tmp3;
2022-11-23T01:32:38.0125730Z                 }
2022-11-23T01:32:38.0125913Z                 tmp4 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp4_vec);
2022-11-23T01:32:38.0126031Z                 #pragma omp simd simdlen(8)  reduction(+:tmp4)
2022-11-23T01:32:38.0126122Z                 for(long i1=32; i1<32; i1+=1)
2022-11-23T01:32:38.0126184Z                 {
2022-11-23T01:32:38.0126283Z                     auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:32:38.0126404Z                     auto tmp1 = out_ptr0[i0];
2022-11-23T01:32:38.0126493Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.0126577Z                     auto tmp3 = std::exp(tmp2);
2022-11-23T01:32:38.0126668Z                     out_ptr1[i1 + (32*i0)] = tmp3;
2022-11-23T01:32:38.0126745Z                     tmp4 += tmp3;
2022-11-23T01:32:38.0126808Z                 }
2022-11-23T01:32:38.0126887Z                 out_ptr2[i0] = tmp4;
2022-11-23T01:32:38.0126953Z             }
2022-11-23T01:32:38.0127042Z         }
2022-11-23T01:32:38.0127107Z         #pragma omp for 
2022-11-23T01:32:38.0127185Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:38.0127246Z         {
2022-11-23T01:32:38.0127327Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:38.0127391Z             {
2022-11-23T01:32:38.0127531Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + (16*i1) + (32*i0));
2022-11-23T01:32:38.0127656Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr2[i0]);
2022-11-23T01:32:38.0127746Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:38.0127841Z                 tmp2.store(in_out_ptr0 + (16*i1) + (32*i0));
2022-11-23T01:32:38.0127904Z             }
2022-11-23T01:32:38.0127995Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:38.0128081Z             for(long i1=32; i1<32; i1+=1)
2022-11-23T01:32:38.0128143Z             {
2022-11-23T01:32:38.0128240Z                 auto tmp0 = out_ptr1[i1 + (32*i0)];
2022-11-23T01:32:38.0128318Z                 auto tmp1 = out_ptr2[i0];
2022-11-23T01:32:38.0128404Z                 auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:38.0128495Z                 in_out_ptr0[i1 + (32*i0)] = tmp2;
2022-11-23T01:32:38.0128559Z             }
2022-11-23T01:32:38.0128622Z         }
2022-11-23T01:32:38.0128682Z     }
2022-11-23T01:32:38.0128742Z }
2022-11-23T01:32:38.0128810Z ''')
2022-11-23T01:32:38.0128815Z 
2022-11-23T01:32:38.0128831Z 
2022-11-23T01:32:38.0128908Z async_compile.wait(globals())
2022-11-23T01:32:38.0128980Z del async_compile
2022-11-23T01:32:38.0128987Z 
2022-11-23T01:32:38.0129056Z def call(args):
2022-11-23T01:32:38.0129124Z     arg0_1, = args
2022-11-23T01:32:38.0129197Z     args.clear()
2022-11-23T01:32:38.0129393Z     buf0 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0129591Z     buf1 = empty_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0129773Z     buf2 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0129858Z     buf3 = buf1; del buf1  # reuse
2022-11-23T01:32:38.0130044Z     kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:38.0130111Z     del arg0_1
2022-11-23T01:32:38.0130181Z     return (buf3, )
2022-11-23T01:32:38.0130187Z 
2022-11-23T01:32:38.0130191Z 
2022-11-23T01:32:38.0130266Z if __name__ == "__main__":
2022-11-23T01:32:38.0130380Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0130502Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0130688Z     arg0_1 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0130794Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.0130799Z 
2022-11-23T01:32:38.0130865Z ok (2.677s)
2022-11-23T01:32:38.0131166Z   test_sort_cpu (__main__.CpuTests) ... [2022-11-23 01:27:26,323] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0131435Z [2022-11-23 01:27:26,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0131651Z [2022-11-23 01:27:26,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0131903Z [2022-11-23 01:27:26,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0132191Z [2022-11-23 01:27:26,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0132545Z [2022-11-23 01:27:26,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0132860Z [2022-11-23 01:27:26,324] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f642ac00, file "inductor/test_torchinductor.py", line 3091> 
2022-11-23T01:32:38.0132956Z  3092           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0133077Z                2 LOAD_METHOD              1 (sort)
2022-11-23T01:32:38.0133168Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:38.0133256Z                6 CALL_METHOD              1
2022-11-23T01:32:38.0133331Z                8 RETURN_VALUE
2022-11-23T01:32:38.0133392Z  
2022-11-23T01:32:38.0133397Z 
2022-11-23T01:32:38.0133665Z [2022-11-23 01:27:26,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3092
2022-11-23T01:32:38.0133873Z [2022-11-23 01:27:26,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.0134233Z [2022-11-23 01:27:26,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sort [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0134552Z [2022-11-23 01:27:26,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sort of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.0134907Z [2022-11-23 01:27:26,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method sort of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.0135165Z [2022-11-23 01:27:26,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T01:32:38.0135498Z [2022-11-23 01:27:26,331] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f642ac00, file "inductor/test_torchinductor.py", line 3091>
2022-11-23T01:32:38.0135756Z [2022-11-23 01:27:26,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T01:32:38.0135993Z [2022-11-23 01:27:26,331] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0136246Z [2022-11-23 01:27:26,332] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0136499Z [2022-11-23 01:27:26,337] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0136673Z [2022-11-23 01:27:26,338] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0136808Z  __compiled_fn_374 <eval_with_key>.2318 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0136899Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0137125Z call_function, sort, <built-in method sort of type object at 0x7f71f2abebc0>, (ex_0_,), {}
2022-11-23T01:32:38.0137312Z call_function, getitem, <built-in function getitem>, (sort, 0), {}
2022-11-23T01:32:38.0137501Z call_function, getitem_1, <built-in function getitem>, (sort, 1), {}
2022-11-23T01:32:38.0137615Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:38.0137621Z 
2022-11-23T01:32:38.0137900Z [2022-11-23 01:27:26,338] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0137982Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0138076Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0138169Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0138260Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0138338Z               8 RETURN_VALUE
2022-11-23T01:32:38.0138343Z 
2022-11-23T01:32:38.0138404Z  
2022-11-23T01:32:38.0138679Z [2022-11-23 01:27:26,339] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0138789Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_374)
2022-11-23T01:32:38.0138898Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0138989Z               4 LOAD_CONST               2 (0)
2022-11-23T01:32:38.0139068Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0139157Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.0139261Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.0139479Z              12 LOAD_CONST               1 (<class 'torch.return_types.sort'>)
2022-11-23T01:32:38.0139583Z              14 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0139660Z              16 LOAD_CONST               2 (0)
2022-11-23T01:32:38.0139738Z              18 BINARY_SUBSCR
2022-11-23T01:32:38.0139840Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0139929Z              22 LOAD_CONST               3 (1)
2022-11-23T01:32:38.0140009Z              24 BINARY_SUBSCR
2022-11-23T01:32:38.0140098Z              26 BUILD_TUPLE              2
2022-11-23T01:32:38.0140193Z              28 CALL_FUNCTION            1
2022-11-23T01:32:38.0140256Z              30 RETURN_VALUE
2022-11-23T01:32:38.0140275Z 
2022-11-23T01:32:38.0140322Z  
2022-11-23T01:32:38.0140507Z [2022-11-23 01:27:26,340] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0140579Z  - 
2022-11-23T01:32:38.0140699Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0140767Z             {
2022-11-23T01:32:38.0140911Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0141085Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.0141206Z                 'obj_weakref': None
2022-11-23T01:32:38.0141432Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0141499Z             }
2022-11-23T01:32:38.0141563Z             
2022-11-23T01:32:38.0141633Z  - 
2022-11-23T01:32:38.0141756Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0141808Z             {
2022-11-23T01:32:38.0141948Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0142054Z                 'code': None,
2022-11-23T01:32:38.0142261Z                 'obj_weakref': <weakref at 0x7f7106ceb410; to 'Tensor' at 0x7f7112ace230>
2022-11-23T01:32:38.0142508Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0142572Z             }
2022-11-23T01:32:38.0142641Z             
2022-11-23T01:32:38.0142698Z  - 
2022-11-23T01:32:38.0142827Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0142889Z             {
2022-11-23T01:32:38.0143021Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0143190Z                 'code': ['___check_obj_id(model, 140123422994016)'],
2022-11-23T01:32:38.0143307Z                 'obj_weakref': None
2022-11-23T01:32:38.0143536Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0143590Z             }
2022-11-23T01:32:38.0143655Z             
2022-11-23T01:32:38.0143723Z  - 
2022-11-23T01:32:38.0143844Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0143908Z             {
2022-11-23T01:32:38.0144043Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0144259Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0144366Z                 'obj_weakref': None
2022-11-23T01:32:38.0144699Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0144762Z             }
2022-11-23T01:32:38.0144824Z             
2022-11-23T01:32:38.0144900Z  - 
2022-11-23T01:32:38.0145032Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.0145094Z             {
2022-11-23T01:32:38.0145201Z                 'guard_types': None,
2022-11-23T01:32:38.0145306Z                 'code': None,
2022-11-23T01:32:38.0145466Z                 'obj_weakref': None
2022-11-23T01:32:38.0145587Z                 'guarded_class': None
2022-11-23T01:32:38.0145650Z             }
2022-11-23T01:32:38.0145713Z             
2022-11-23T01:32:38.0145973Z [2022-11-23 01:27:26,350] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 366
2022-11-23T01:32:38.0146174Z [2022-11-23 01:27:26,355] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.sort
2022-11-23T01:32:38.0146567Z [2022-11-23 01:27:26,360] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3k/c3ks4se5ezthwctf3vtmdt7dxxmawfqebkdpul4iz4f5xm5adfwe.py
2022-11-23T01:32:38.0146834Z [2022-11-23 01:27:26,360] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 366
2022-11-23T01:32:38.0146840Z 
2022-11-23T01:32:38.0146932Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0147001Z import torch
2022-11-23T01:32:38.0147070Z import random
2022-11-23T01:32:38.0147183Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0147305Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0147310Z 
2022-11-23T01:32:38.0147377Z aten = torch.ops.aten
2022-11-23T01:32:38.0147508Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0147599Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0147604Z 
2022-11-23T01:32:38.0147608Z 
2022-11-23T01:32:38.0147696Z async_compile.wait(globals())
2022-11-23T01:32:38.0147768Z del async_compile
2022-11-23T01:32:38.0147775Z 
2022-11-23T01:32:38.0147844Z def call(args):
2022-11-23T01:32:38.0147913Z     arg0_1, = args
2022-11-23T01:32:38.0147982Z     args.clear()
2022-11-23T01:32:38.0148049Z     buf0 = aten.sort(arg0_1)
2022-11-23T01:32:38.0148116Z     del arg0_1
2022-11-23T01:32:38.0148184Z     buf1 = buf0[0]
2022-11-23T01:32:38.0148288Z     assert_size_stride(buf1, (1, 1, 8, 8), (64, 64, 8, 1))
2022-11-23T01:32:38.0148355Z     buf2 = buf0[1]
2022-11-23T01:32:38.0148457Z     assert_size_stride(buf2, (1, 1, 8, 8), (64, 64, 8, 1))
2022-11-23T01:32:38.0148525Z     del buf0
2022-11-23T01:32:38.0148589Z     return (buf1, buf2, )
2022-11-23T01:32:38.0148593Z 
2022-11-23T01:32:38.0148598Z 
2022-11-23T01:32:38.0148672Z if __name__ == "__main__":
2022-11-23T01:32:38.0148782Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0148904Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0149119Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0149226Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.0149231Z 
2022-11-23T01:32:38.0149297Z ok (0.046s)
2022-11-23T01:32:38.0149597Z   test_split_cpu (__main__.CpuTests) ... [2022-11-23 01:27:26,368] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0149852Z [2022-11-23 01:27:26,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0150071Z [2022-11-23 01:27:26,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0150325Z [2022-11-23 01:27:26,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0150611Z [2022-11-23 01:27:26,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0150932Z [2022-11-23 01:27:26,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0151256Z [2022-11-23 01:27:26,369] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64064b0, file "inductor/test_torchinductor.py", line 1705> 
2022-11-23T01:32:38.0151353Z  1706           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0151447Z                2 LOAD_METHOD              1 (split)
2022-11-23T01:32:38.0151537Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:38.0151656Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:38.0151825Z                8 LOAD_CONST               2 (-1)
2022-11-23T01:32:38.0151915Z               10 CALL_METHOD              3
2022-11-23T01:32:38.0152002Z               12 STORE_FAST               1 (t)
2022-11-23T01:32:38.0152007Z 
2022-11-23T01:32:38.0152095Z 1707          14 LOAD_FAST                1 (t)
2022-11-23T01:32:38.0152181Z               16 LOAD_CONST               3 (0)
2022-11-23T01:32:38.0152287Z               18 BINARY_SUBSCR
2022-11-23T01:32:38.0152360Z               20 LOAD_FAST                1 (t)
2022-11-23T01:32:38.0152447Z               22 LOAD_CONST               4 (1)
2022-11-23T01:32:38.0152522Z               24 BINARY_SUBSCR
2022-11-23T01:32:38.0152608Z               26 LOAD_FAST                1 (t)
2022-11-23T01:32:38.0152692Z               28 LOAD_CONST               5 (2)
2022-11-23T01:32:38.0152768Z               30 BINARY_SUBSCR
2022-11-23T01:32:38.0152853Z               32 LOAD_FAST                1 (t)
2022-11-23T01:32:38.0152942Z               34 LOAD_CONST               1 (3)
2022-11-23T01:32:38.0153005Z               36 BINARY_SUBSCR
2022-11-23T01:32:38.0153095Z               38 BUILD_TUPLE              4
2022-11-23T01:32:38.0153170Z               40 RETURN_VALUE
2022-11-23T01:32:38.0153231Z  
2022-11-23T01:32:38.0153236Z 
2022-11-23T01:32:38.0153506Z [2022-11-23 01:27:26,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1706
2022-11-23T01:32:38.0153727Z [2022-11-23 01:27:26,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.0154093Z [2022-11-23 01:27:26,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0154381Z [2022-11-23 01:27:26,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function split at 0x7f71ce434a70>)]
2022-11-23T01:32:38.0154684Z [2022-11-23 01:27:26,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<function split at 0x7f71ce434a70>), TensorVariable()]
2022-11-23T01:32:38.0155037Z [2022-11-23 01:27:26,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<function split at 0x7f71ce434a70>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0155432Z [2022-11-23 01:27:26,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function split at 0x7f71ce434a70>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.0155670Z [2022-11-23 01:27:26,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [TupleVariable()]
2022-11-23T01:32:38.0155937Z [2022-11-23 01:27:26,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1707
2022-11-23T01:32:38.0156144Z [2022-11-23 01:27:26,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t []
2022-11-23T01:32:38.0156382Z [2022-11-23 01:27:26,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()]
2022-11-23T01:32:38.0156667Z [2022-11-23 01:27:26,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0156902Z [2022-11-23 01:27:26,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable()]
2022-11-23T01:32:38.0157299Z [2022-11-23 01:27:26,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TupleVariable()]
2022-11-23T01:32:38.0157600Z [2022-11-23 01:27:26,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0157864Z [2022-11-23 01:27:26,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0158156Z [2022-11-23 01:27:26,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:38.0158571Z [2022-11-23 01:27:26,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0158865Z [2022-11-23 01:27:26,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0159216Z [2022-11-23 01:27:26,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:38.0159587Z [2022-11-23 01:27:26,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0159908Z [2022-11-23 01:27:26,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0160155Z [2022-11-23 01:27:26,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0160487Z [2022-11-23 01:27:26,383] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64064b0, file "inductor/test_torchinductor.py", line 1705>
2022-11-23T01:32:38.0160731Z [2022-11-23 01:27:26,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0160954Z [2022-11-23 01:27:26,383] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0161206Z [2022-11-23 01:27:26,386] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0161453Z [2022-11-23 01:27:26,397] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0161641Z [2022-11-23 01:27:26,398] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0161775Z  __compiled_fn_375 <eval_with_key>.2324 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0161866Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0162068Z call_function, split, <function split at 0x7f71ce434a70>, (ex_0_, 3, -1), {}
2022-11-23T01:32:38.0162257Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T01:32:38.0162434Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T01:32:38.0162621Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T01:32:38.0162806Z call_function, getitem_3, <built-in function getitem>, (split, 3), {}
2022-11-23T01:32:38.0162943Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {}
2022-11-23T01:32:38.0162948Z 
2022-11-23T01:32:38.0163226Z [2022-11-23 01:27:26,399] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0163318Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0163408Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0163503Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0163582Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0163657Z               8 RETURN_VALUE
2022-11-23T01:32:38.0163663Z 
2022-11-23T01:32:38.0163723Z  
2022-11-23T01:32:38.0163996Z [2022-11-23 01:27:26,399] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0164103Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_375)
2022-11-23T01:32:38.0164194Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0164285Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0164361Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0164437Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.0164540Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.0164640Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0164728Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0164840Z              16 BINARY_SUBSCR
2022-11-23T01:32:38.0164940Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0165027Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0165090Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.0165189Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0165276Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:38.0165396Z              28 BINARY_SUBSCR
2022-11-23T01:32:38.0165497Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0165584Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:38.0165659Z              34 BINARY_SUBSCR
2022-11-23T01:32:38.0165733Z              36 BUILD_TUPLE              4
2022-11-23T01:32:38.0165809Z              38 RETURN_VALUE
2022-11-23T01:32:38.0165813Z 
2022-11-23T01:32:38.0165873Z  
2022-11-23T01:32:38.0166056Z [2022-11-23 01:27:26,400] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0166130Z  - 
2022-11-23T01:32:38.0166248Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0166312Z             {
2022-11-23T01:32:38.0166440Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0166625Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.0166743Z                 'obj_weakref': None
2022-11-23T01:32:38.0166966Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0167031Z             }
2022-11-23T01:32:38.0167095Z             
2022-11-23T01:32:38.0167164Z  - 
2022-11-23T01:32:38.0167274Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0167339Z             {
2022-11-23T01:32:38.0167480Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0167587Z                 'code': None,
2022-11-23T01:32:38.0167793Z                 'obj_weakref': <weakref at 0x7f7106515470; to 'Tensor' at 0x7f71c0f6f4d0>
2022-11-23T01:32:38.0168043Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0168105Z             }
2022-11-23T01:32:38.0168168Z             
2022-11-23T01:32:38.0168224Z  - 
2022-11-23T01:32:38.0168352Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0168416Z             {
2022-11-23T01:32:38.0168549Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0168720Z                 'code': ['___check_obj_id(model, 140124018277264)'],
2022-11-23T01:32:38.0168841Z                 'obj_weakref': None
2022-11-23T01:32:38.0169069Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0169120Z             }
2022-11-23T01:32:38.0169181Z             
2022-11-23T01:32:38.0169250Z  - 
2022-11-23T01:32:38.0169370Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0169434Z             {
2022-11-23T01:32:38.0169569Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0169773Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0169889Z                 'obj_weakref': None
2022-11-23T01:32:38.0170106Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0170171Z             }
2022-11-23T01:32:38.0170233Z             
2022-11-23T01:32:38.0170300Z  - 
2022-11-23T01:32:38.0170436Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.0170486Z             {
2022-11-23T01:32:38.0170604Z                 'guard_types': None,
2022-11-23T01:32:38.0170709Z                 'code': None,
2022-11-23T01:32:38.0170824Z                 'obj_weakref': None
2022-11-23T01:32:38.0170942Z                 'guarded_class': None
2022-11-23T01:32:38.0171004Z             }
2022-11-23T01:32:38.0171067Z             
2022-11-23T01:32:38.0171314Z [2022-11-23 01:27:26,415] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 367
2022-11-23T01:32:38.0171713Z [2022-11-23 01:27:26,421] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6c/c6c35spbl3r26i4haohomu7ikok6tym65y4ntemcmkuccbs3ifz6.py
2022-11-23T01:32:38.0171976Z [2022-11-23 01:27:26,421] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 367
2022-11-23T01:32:38.0172211Z [2022-11-23 01:27:26,430] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0172504Z [2022-11-23 01:27:26,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0172724Z [2022-11-23 01:27:26,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0172975Z [2022-11-23 01:27:26,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0173260Z [2022-11-23 01:27:26,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0173585Z [2022-11-23 01:27:26,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0173911Z [2022-11-23 01:27:26,431] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f71f6406540, file "inductor/test_torchinductor.py", line 1709> 
2022-11-23T01:32:38.0173993Z  1710           0 LOAD_DEREF               0 (fn)
2022-11-23T01:32:38.0174086Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:38.0174176Z                4 LOAD_CONST               1 (1)
2022-11-23T01:32:38.0174249Z                6 BINARY_ADD
2022-11-23T01:32:38.0174342Z                8 CALL_FUNCTION            1
2022-11-23T01:32:38.0174417Z               10 RETURN_VALUE
2022-11-23T01:32:38.0174478Z  
2022-11-23T01:32:38.0174483Z 
2022-11-23T01:32:38.0174735Z [2022-11-23 01:27:26,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1710
2022-11-23T01:32:38.0174948Z [2022-11-23 01:27:26,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF fn []
2022-11-23T01:32:38.0175194Z [2022-11-23 01:27:26,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [UserFunctionVariable()]
2022-11-23T01:32:38.0175473Z [2022-11-23 01:27:26,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:38.0175795Z [2022-11-23 01:27:26,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [UserFunctionVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0176077Z [2022-11-23 01:27:26,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [UserFunctionVariable(), TensorVariable()]
2022-11-23T01:32:38.0176399Z [2022-11-23 01:27:26,435] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64064b0, file "inductor/test_torchinductor.py", line 1705> 
2022-11-23T01:32:38.0176495Z  1706           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0176592Z                2 LOAD_METHOD              1 (split)
2022-11-23T01:32:38.0176670Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:38.0176757Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:38.0176898Z                8 LOAD_CONST               2 (-1)
2022-11-23T01:32:38.0176986Z               10 CALL_METHOD              3
2022-11-23T01:32:38.0177075Z               12 STORE_FAST               1 (t)
2022-11-23T01:32:38.0177080Z 
2022-11-23T01:32:38.0177170Z 1707          14 LOAD_FAST                1 (t)
2022-11-23T01:32:38.0177257Z               16 LOAD_CONST               3 (0)
2022-11-23T01:32:38.0177334Z               18 BINARY_SUBSCR
2022-11-23T01:32:38.0177406Z               20 LOAD_FAST                1 (t)
2022-11-23T01:32:38.0177491Z               22 LOAD_CONST               4 (1)
2022-11-23T01:32:38.0177570Z               24 BINARY_SUBSCR
2022-11-23T01:32:38.0177658Z               26 LOAD_FAST                1 (t)
2022-11-23T01:32:38.0177774Z               28 LOAD_CONST               5 (2)
2022-11-23T01:32:38.0177851Z               30 BINARY_SUBSCR
2022-11-23T01:32:38.0177937Z               32 LOAD_FAST                1 (t)
2022-11-23T01:32:38.0178010Z               34 LOAD_CONST               1 (3)
2022-11-23T01:32:38.0178087Z               36 BINARY_SUBSCR
2022-11-23T01:32:38.0178177Z               38 BUILD_TUPLE              4
2022-11-23T01:32:38.0178255Z               40 RETURN_VALUE
2022-11-23T01:32:38.0178318Z  
2022-11-23T01:32:38.0178348Z 
2022-11-23T01:32:38.0178621Z [2022-11-23 01:27:26,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1706
2022-11-23T01:32:38.0178843Z [2022-11-23 01:27:26,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.0179207Z [2022-11-23 01:27:26,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0179485Z [2022-11-23 01:27:26,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<function split at 0x7f71ce434a70>)]
2022-11-23T01:32:38.0179803Z [2022-11-23 01:27:26,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<function split at 0x7f71ce434a70>), TensorVariable()]
2022-11-23T01:32:38.0180158Z [2022-11-23 01:27:26,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<function split at 0x7f71ce434a70>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0180553Z [2022-11-23 01:27:26,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<function split at 0x7f71ce434a70>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.0180792Z [2022-11-23 01:27:26,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [TupleVariable()]
2022-11-23T01:32:38.0181062Z [2022-11-23 01:27:26,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1707
2022-11-23T01:32:38.0181274Z [2022-11-23 01:27:26,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t []
2022-11-23T01:32:38.0181511Z [2022-11-23 01:27:26,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()]
2022-11-23T01:32:38.0181799Z [2022-11-23 01:27:26,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0182036Z [2022-11-23 01:27:26,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable()]
2022-11-23T01:32:38.0182323Z [2022-11-23 01:27:26,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TupleVariable()]
2022-11-23T01:32:38.0182635Z [2022-11-23 01:27:26,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0182900Z [2022-11-23 01:27:26,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0183195Z [2022-11-23 01:27:26,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:38.0183535Z [2022-11-23 01:27:26,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0183828Z [2022-11-23 01:27:26,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0184148Z [2022-11-23 01:27:26,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()]
2022-11-23T01:32:38.0184610Z [2022-11-23 01:27:26,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0184940Z [2022-11-23 01:27:26,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0185225Z [2022-11-23 01:27:26,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0185553Z [2022-11-23 01:27:26,448] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64064b0, file "inductor/test_torchinductor.py", line 1705>
2022-11-23T01:32:38.0185811Z [2022-11-23 01:27:26,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0186145Z [2022-11-23 01:27:26,448] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f71f6406540, file "inductor/test_torchinductor.py", line 1709>
2022-11-23T01:32:38.0186388Z [2022-11-23 01:27:26,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0186623Z [2022-11-23 01:27:26,448] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0186884Z [2022-11-23 01:27:26,451] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0187134Z [2022-11-23 01:27:26,465] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0187324Z [2022-11-23 01:27:26,465] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0187462Z  __compiled_fn_376 <eval_with_key>.2330 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0187554Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0187714Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:38.0187915Z call_function, split, <function split at 0x7f71ce434a70>, (add, 3, -1), {}
2022-11-23T01:32:38.0188106Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T01:32:38.0188297Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T01:32:38.0188485Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T01:32:38.0188672Z call_function, getitem_3, <built-in function getitem>, (split, 3), {}
2022-11-23T01:32:38.0188810Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {}
2022-11-23T01:32:38.0188816Z 
2022-11-23T01:32:38.0189097Z [2022-11-23 01:27:26,466] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0189179Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0189273Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0189367Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0189459Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0189535Z               8 RETURN_VALUE
2022-11-23T01:32:38.0189541Z 
2022-11-23T01:32:38.0189602Z  
2022-11-23T01:32:38.0189875Z [2022-11-23 01:27:26,466] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0189984Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_376)
2022-11-23T01:32:38.0190061Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0195377Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0195464Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0195557Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.0195665Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.0195801Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.0195899Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.0195975Z              16 CALL_FUNCTION            0
2022-11-23T01:32:38.0196071Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.0196175Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0196265Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0196341Z              24 BINARY_SUBSCR
2022-11-23T01:32:38.0196506Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0196595Z              28 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0196658Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.0196759Z              32 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0196846Z              34 LOAD_CONST               3 (2)
2022-11-23T01:32:38.0196925Z              36 BINARY_SUBSCR
2022-11-23T01:32:38.0197057Z              38 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0197289Z              40 LOAD_CONST               4 (3)
2022-11-23T01:32:38.0197404Z              42 BINARY_SUBSCR
2022-11-23T01:32:38.0197520Z              44 BUILD_TUPLE              4
2022-11-23T01:32:38.0197600Z              46 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0197698Z              48 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.0197786Z              50 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0197864Z              52 BINARY_SUBSCR
2022-11-23T01:32:38.0197967Z              54 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.0198059Z              56 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0198157Z              58 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.0198231Z              60 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0198307Z              62 BINARY_SUBSCR
2022-11-23T01:32:38.0198409Z              64 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.0198483Z              66 RETURN_VALUE
2022-11-23T01:32:38.0198491Z 
2022-11-23T01:32:38.0198553Z  
2022-11-23T01:32:38.0198770Z [2022-11-23 01:27:26,468] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0198839Z  - 
2022-11-23T01:32:38.0198945Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0199009Z             {
2022-11-23T01:32:38.0199151Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0199339Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.0199460Z                 'obj_weakref': None
2022-11-23T01:32:38.0199686Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0199750Z             }
2022-11-23T01:32:38.0199801Z             
2022-11-23T01:32:38.0199870Z  - 
2022-11-23T01:32:38.0199995Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0200064Z             {
2022-11-23T01:32:38.0200208Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0200314Z                 'code': None,
2022-11-23T01:32:38.0200525Z                 'obj_weakref': <weakref at 0x7f70f10bffb0; to 'Tensor' at 0x7f71c0f6f4d0>
2022-11-23T01:32:38.0200763Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0200825Z             }
2022-11-23T01:32:38.0200885Z             
2022-11-23T01:32:38.0200953Z  - 
2022-11-23T01:32:38.0201086Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0201151Z             {
2022-11-23T01:32:38.0201284Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0201440Z                 'code': ['___check_obj_id(model, 140123422894272)'],
2022-11-23T01:32:38.0201556Z                 'obj_weakref': None
2022-11-23T01:32:38.0201787Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0201850Z             }
2022-11-23T01:32:38.0201916Z             
2022-11-23T01:32:38.0201986Z  - 
2022-11-23T01:32:38.0202107Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0202158Z             {
2022-11-23T01:32:38.0202292Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0202507Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0202625Z                 'obj_weakref': None
2022-11-23T01:32:38.0202845Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0202972Z             }
2022-11-23T01:32:38.0203035Z             
2022-11-23T01:32:38.0203092Z  - 
2022-11-23T01:32:38.0203275Z             local 'model.__closure__[0].cell_contents' FUNCTION_MATCH
2022-11-23T01:32:38.0203340Z             {
2022-11-23T01:32:38.0203475Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0203687Z                 'code': ['___check_obj_id(model.__closure__[0].cell_contents, 140124018277264)'],
2022-11-23T01:32:38.0203848Z                 'obj_weakref': None
2022-11-23T01:32:38.0204078Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0204128Z             }
2022-11-23T01:32:38.0204190Z             
2022-11-23T01:32:38.0204258Z  - 
2022-11-23T01:32:38.0204392Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.0204454Z             {
2022-11-23T01:32:38.0204573Z                 'guard_types': None,
2022-11-23T01:32:38.0204678Z                 'code': None,
2022-11-23T01:32:38.0204784Z                 'obj_weakref': None
2022-11-23T01:32:38.0204904Z                 'guarded_class': None
2022-11-23T01:32:38.0204967Z             }
2022-11-23T01:32:38.0205028Z             
2022-11-23T01:32:38.0205288Z [2022-11-23 01:27:26,485] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 368
2022-11-23T01:32:38.0205666Z [2022-11-23 01:27:29,025] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jx/cjxe4lyatfpyqtysygoiumz6lflsfpxfjmf55r2rncabe3bfzqbl.py
2022-11-23T01:32:38.0205929Z [2022-11-23 01:27:29,026] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 368
2022-11-23T01:32:38.0205935Z 
2022-11-23T01:32:38.0206027Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0206081Z import torch
2022-11-23T01:32:38.0206149Z import random
2022-11-23T01:32:38.0206262Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0206383Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0206391Z 
2022-11-23T01:32:38.0206469Z aten = torch.ops.aten
2022-11-23T01:32:38.0206603Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0206696Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0206701Z 
2022-11-23T01:32:38.0206706Z 
2022-11-23T01:32:38.0206792Z async_compile.wait(globals())
2022-11-23T01:32:38.0206851Z del async_compile
2022-11-23T01:32:38.0206856Z 
2022-11-23T01:32:38.0206925Z def call(args):
2022-11-23T01:32:38.0206997Z     arg0_1, = args
2022-11-23T01:32:38.0207067Z     args.clear()
2022-11-23T01:32:38.0207262Z     return (as_strided(arg0_1, (2, 2, 3), (20, 10, 1)), as_strided(arg0_1, (2, 2, 3), (20, 10, 1), 3), as_strided(arg0_1, (2, 2, 3), (20, 10, 1), 6), as_strided(arg0_1, (2, 2, 1), (20, 10, 1), 9), )
2022-11-23T01:32:38.0207267Z 
2022-11-23T01:32:38.0207271Z 
2022-11-23T01:32:38.0207345Z if __name__ == "__main__":
2022-11-23T01:32:38.0207459Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0207586Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0207780Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0207888Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.0207893Z 
2022-11-23T01:32:38.0207897Z 
2022-11-23T01:32:38.0207990Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0208060Z import torch
2022-11-23T01:32:38.0208128Z import random
2022-11-23T01:32:38.0208243Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0208362Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0208367Z 
2022-11-23T01:32:38.0208444Z aten = torch.ops.aten
2022-11-23T01:32:38.0208565Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0208653Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0208658Z 
2022-11-23T01:32:38.0208662Z 
2022-11-23T01:32:38.0208794Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0209034Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0209155Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.0209253Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.0209314Z {
2022-11-23T01:32:38.0209411Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0209459Z     {
2022-11-23T01:32:38.0209535Z         #pragma omp for 
2022-11-23T01:32:38.0209699Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:38.0209762Z         {
2022-11-23T01:32:38.0209905Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.0210038Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:38.0210122Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.0210201Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.0210266Z         }
2022-11-23T01:32:38.0210360Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.0210444Z         for(long i0=32; i0<40; i0+=1)
2022-11-23T01:32:38.0210506Z         {
2022-11-23T01:32:38.0210592Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.0210689Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:38.0210760Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.0210840Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.0210903Z         }
2022-11-23T01:32:38.0210964Z     }
2022-11-23T01:32:38.0211025Z }
2022-11-23T01:32:38.0211103Z ''')
2022-11-23T01:32:38.0211110Z 
2022-11-23T01:32:38.0211114Z 
2022-11-23T01:32:38.0211201Z async_compile.wait(globals())
2022-11-23T01:32:38.0211260Z del async_compile
2022-11-23T01:32:38.0211266Z 
2022-11-23T01:32:38.0211335Z def call(args):
2022-11-23T01:32:38.0211403Z     arg0_1, = args
2022-11-23T01:32:38.0211473Z     args.clear()
2022-11-23T01:32:38.0211680Z     buf0 = empty_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0211813Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.0211886Z     del arg0_1
2022-11-23T01:32:38.0212062Z     return (as_strided(buf0, (2, 2, 3), (20, 10, 1)), as_strided(buf0, (2, 2, 3), (20, 10, 1), 3), as_strided(buf0, (2, 2, 3), (20, 10, 1), 6), as_strided(buf0, (2, 2, 1), (20, 10, 0), 9), )
2022-11-23T01:32:38.0212079Z 
2022-11-23T01:32:38.0212083Z 
2022-11-23T01:32:38.0212146Z if __name__ == "__main__":
2022-11-23T01:32:38.0212257Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0212383Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0212588Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0212696Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.0212701Z 
2022-11-23T01:32:38.0212802Z ok (2.671s)
2022-11-23T01:32:38.0213125Z   test_split_with_sizes_cpu (__main__.CpuTests) ... [2022-11-23 01:27:29,043] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0213395Z [2022-11-23 01:27:29,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0213599Z [2022-11-23 01:27:29,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0213851Z [2022-11-23 01:27:29,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0214140Z [2022-11-23 01:27:29,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0214461Z [2022-11-23 01:27:29,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0214787Z [2022-11-23 01:27:29,044] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6406300, file "inductor/test_torchinductor.py", line 1697> 
2022-11-23T01:32:38.0214972Z  1698           0 LOAD_CONST               1 (<code object <listcomp> at 0x7f71f6406270, file "inductor/test_torchinductor.py", line 1698>)
2022-11-23T01:32:38.0215294Z                2 LOAD_CONST               2 ('CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp>')
2022-11-23T01:32:38.0215387Z                4 MAKE_FUNCTION            0
2022-11-23T01:32:38.0215482Z                6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0215561Z                8 LOAD_METHOD              1 (split)
2022-11-23T01:32:38.0215693Z               10 LOAD_FAST                0 (a)
2022-11-23T01:32:38.0215786Z               12 LOAD_CONST               3 (2.0)
2022-11-23T01:32:38.0215867Z               14 BINARY_MULTIPLY
2022-11-23T01:32:38.0215959Z               16 LOAD_FAST                1 (sizes)
2022-11-23T01:32:38.0216096Z               18 LOAD_CONST               4 (-1)
2022-11-23T01:32:38.0216184Z               20 CALL_METHOD              3
2022-11-23T01:32:38.0216243Z               22 GET_ITER
2022-11-23T01:32:38.0216332Z               24 CALL_FUNCTION            1
2022-11-23T01:32:38.0216409Z               26 RETURN_VALUE
2022-11-23T01:32:38.0216471Z  
2022-11-23T01:32:38.0216476Z 
2022-11-23T01:32:38.0216747Z [2022-11-23 01:27:29,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1698
2022-11-23T01:32:38.0217097Z [2022-11-23 01:27:29,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7f71f6406270, file "inductor/test_torchinductor.py", line 1698> []
2022-11-23T01:32:38.0217451Z [2022-11-23 01:27:29,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp> [ConstantVariable(code)]
2022-11-23T01:32:38.0217742Z [2022-11-23 01:27:29,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)]
2022-11-23T01:32:38.0218016Z [2022-11-23 01:27:29,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [NestedUserFunctionVariable()]
2022-11-23T01:32:38.0218444Z [2022-11-23 01:27:29,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [NestedUserFunctionVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0218776Z [2022-11-23 01:27:29,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f71ce434a70>)]
2022-11-23T01:32:38.0219154Z [2022-11-23 01:27:29,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f71ce434a70>), TensorVariable()]
2022-11-23T01:32:38.0219589Z [2022-11-23 01:27:29,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f71ce434a70>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:38.0219962Z [2022-11-23 01:27:29,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sizes [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f71ce434a70>), TensorVariable()]
2022-11-23T01:32:38.0220362Z [2022-11-23 01:27:29,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f71ce434a70>), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.0220801Z [2022-11-23 01:27:29,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f71ce434a70>), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0221094Z [2022-11-23 01:27:29,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0221412Z [2022-11-23 01:27:29,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0221749Z [2022-11-23 01:27:29,060] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7f71f6406270, file "inductor/test_torchinductor.py", line 1698> 
2022-11-23T01:32:38.0221873Z  1698           0 BUILD_LIST               0
2022-11-23T01:32:38.0221968Z                2 LOAD_FAST                0 (.0)
2022-11-23T01:32:38.0222048Z          >>    4 FOR_ITER                12 (to 18)
2022-11-23T01:32:38.0222138Z                6 STORE_FAST               1 (t)
2022-11-23T01:32:38.0222227Z                8 LOAD_FAST                1 (t)
2022-11-23T01:32:38.0222343Z               10 LOAD_CONST               0 (1.0)
2022-11-23T01:32:38.0222418Z               12 BINARY_ADD
2022-11-23T01:32:38.0222508Z               14 LIST_APPEND              2
2022-11-23T01:32:38.0222599Z               16 JUMP_ABSOLUTE            4
2022-11-23T01:32:38.0222662Z          >>   18 RETURN_VALUE
2022-11-23T01:32:38.0222722Z  
2022-11-23T01:32:38.0222727Z 
2022-11-23T01:32:38.0222939Z [2022-11-23 01:27:29,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T01:32:38.0223173Z [2022-11-23 01:27:29,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
2022-11-23T01:32:38.0223448Z [2022-11-23 01:27:29,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0223751Z [2022-11-23 01:27:29,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0224028Z [2022-11-23 01:27:29,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0224334Z [2022-11-23 01:27:29,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0224768Z [2022-11-23 01:27:29,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:38.0225076Z [2022-11-23 01:27:29,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0225348Z [2022-11-23 01:27:29,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0225621Z [2022-11-23 01:27:29,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0225924Z [2022-11-23 01:27:29,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0226196Z [2022-11-23 01:27:29,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0226499Z [2022-11-23 01:27:29,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0226848Z [2022-11-23 01:27:29,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:38.0227154Z [2022-11-23 01:27:29,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0227433Z [2022-11-23 01:27:29,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0227707Z [2022-11-23 01:27:29,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0228008Z [2022-11-23 01:27:29,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0228277Z [2022-11-23 01:27:29,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0228563Z [2022-11-23 01:27:29,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0228945Z [2022-11-23 01:27:29,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:38.0229250Z [2022-11-23 01:27:29,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0229558Z [2022-11-23 01:27:29,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0229828Z [2022-11-23 01:27:29,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0230069Z [2022-11-23 01:27:29,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:38.0230407Z [2022-11-23 01:27:29,071] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7f71f6406270, file "inductor/test_torchinductor.py", line 1698>
2022-11-23T01:32:38.0230647Z [2022-11-23 01:27:29,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:38.0230972Z [2022-11-23 01:27:29,071] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6406300, file "inductor/test_torchinductor.py", line 1697>
2022-11-23T01:32:38.0231212Z [2022-11-23 01:27:29,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:38.0231432Z [2022-11-23 01:27:29,071] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0231683Z [2022-11-23 01:27:29,074] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0231928Z [2022-11-23 01:27:29,090] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0232114Z [2022-11-23 01:27:29,091] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0232249Z  __compiled_fn_377 <eval_with_key>.2336 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0232338Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0232511Z call_function, mul, <built-in function mul>, (ex_0_, 2.0), {}
2022-11-23T01:32:38.0232718Z call_function, split, <function split at 0x7f71ce434a70>, (mul, [3, 3, 4], -1), {}
2022-11-23T01:32:38.0232893Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T01:32:38.0233084Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T01:32:38.0233267Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T01:32:38.0233447Z call_function, add, <built-in function add>, (getitem, 1.0), {}
2022-11-23T01:32:38.0233629Z call_function, add_1, <built-in function add>, (getitem_1, 1.0), {}
2022-11-23T01:32:38.0233807Z call_function, add_2, <built-in function add>, (getitem_2, 1.0), {}
2022-11-23T01:32:38.0233914Z output, output, output, ((add, add_1, add_2),), {}
2022-11-23T01:32:38.0233922Z 
2022-11-23T01:32:38.0234198Z [2022-11-23 01:27:29,092] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0234289Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0234367Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0234460Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0234550Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0234625Z               8 RETURN_VALUE
2022-11-23T01:32:38.0234630Z 
2022-11-23T01:32:38.0234689Z  
2022-11-23T01:32:38.0234959Z [2022-11-23 01:27:29,092] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0235067Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_377)
2022-11-23T01:32:38.0235144Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0235232Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0235337Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0235424Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.0235528Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.0235627Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0235715Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0235778Z              16 BINARY_SUBSCR
2022-11-23T01:32:38.0235909Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0235997Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0236072Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.0236169Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0236258Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:38.0236333Z              28 BINARY_SUBSCR
2022-11-23T01:32:38.0236406Z              30 BUILD_LIST               3
2022-11-23T01:32:38.0236479Z              32 RETURN_VALUE
2022-11-23T01:32:38.0236485Z 
2022-11-23T01:32:38.0236545Z  
2022-11-23T01:32:38.0236727Z [2022-11-23 01:27:29,095] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0236795Z  - 
2022-11-23T01:32:38.0236913Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0236976Z             {
2022-11-23T01:32:38.0237102Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0237421Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.0237543Z                 'obj_weakref': None
2022-11-23T01:32:38.0237769Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0237835Z             }
2022-11-23T01:32:38.0237899Z             
2022-11-23T01:32:38.0237967Z  - 
2022-11-23T01:32:38.0238091Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0238142Z             {
2022-11-23T01:32:38.0238284Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0238393Z                 'code': None,
2022-11-23T01:32:38.0238597Z                 'obj_weakref': <weakref at 0x7f7106717050; to 'Tensor' at 0x7f710668d170>
2022-11-23T01:32:38.0238848Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0238911Z             }
2022-11-23T01:32:38.0238976Z             
2022-11-23T01:32:38.0239031Z  - 
2022-11-23T01:32:38.0239153Z             local 'ex[1]' EQUALS_MATCH
2022-11-23T01:32:38.0239219Z             {
2022-11-23T01:32:38.0239385Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.0239773Z                 'code': ['___check_type_id(ex[1], 94279403917216)', 'len(ex[1]) == 3', '___check_type_id(ex[1][0], 94279403915040)', '___check_type_id(ex[1][1], 94279403915040)', '___check_type_id(ex[1][2], 94279403915040)', 'ex[1] == [3, 3, 4]'],
2022-11-23T01:32:38.0239893Z                 'obj_weakref': None
2022-11-23T01:32:38.0240111Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.0240164Z             }
2022-11-23T01:32:38.0240228Z             
2022-11-23T01:32:38.0240297Z  - 
2022-11-23T01:32:38.0240429Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0240492Z             {
2022-11-23T01:32:38.0240624Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0240792Z                 'code': ['___check_obj_id(model, 140123412383936)'],
2022-11-23T01:32:38.0240898Z                 'obj_weakref': None
2022-11-23T01:32:38.0241125Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0241188Z             }
2022-11-23T01:32:38.0241250Z             
2022-11-23T01:32:38.0241318Z  - 
2022-11-23T01:32:38.0241438Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0241501Z             {
2022-11-23T01:32:38.0241623Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0241835Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0242006Z                 'obj_weakref': None
2022-11-23T01:32:38.0242223Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0242288Z             }
2022-11-23T01:32:38.0242352Z             
2022-11-23T01:32:38.0242421Z  - 
2022-11-23T01:32:38.0242543Z             local 'ex[1][0]' CONSTANT_MATCH
2022-11-23T01:32:38.0242606Z             {
2022-11-23T01:32:38.0242783Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.0242978Z                 'code': ['___check_type_id(ex[1][0], 94279403915040)', 'ex[1][0] == 3'],
2022-11-23T01:32:38.0243097Z                 'obj_weakref': None
2022-11-23T01:32:38.0243316Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.0243379Z             }
2022-11-23T01:32:38.0243456Z             
2022-11-23T01:32:38.0243525Z  - 
2022-11-23T01:32:38.0243662Z             local 'ex[1][1]' CONSTANT_MATCH
2022-11-23T01:32:38.0243726Z             {
2022-11-23T01:32:38.0243867Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.0244060Z                 'code': ['___check_type_id(ex[1][1], 94279403915040)', 'ex[1][1] == 3'],
2022-11-23T01:32:38.0244179Z                 'obj_weakref': None
2022-11-23T01:32:38.0244382Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.0244448Z             }
2022-11-23T01:32:38.0244510Z             
2022-11-23T01:32:38.0244577Z  - 
2022-11-23T01:32:38.0244711Z             local 'ex[1][2]' CONSTANT_MATCH
2022-11-23T01:32:38.0244773Z             {
2022-11-23T01:32:38.0244915Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.0245093Z                 'code': ['___check_type_id(ex[1][2], 94279403915040)', 'ex[1][2] == 4'],
2022-11-23T01:32:38.0245212Z                 'obj_weakref': None
2022-11-23T01:32:38.0245426Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.0245490Z             }
2022-11-23T01:32:38.0245551Z             
2022-11-23T01:32:38.0245621Z  - 
2022-11-23T01:32:38.0245752Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.0245802Z             {
2022-11-23T01:32:38.0245919Z                 'guard_types': None,
2022-11-23T01:32:38.0246025Z                 'code': None,
2022-11-23T01:32:38.0246139Z                 'obj_weakref': None
2022-11-23T01:32:38.0246260Z                 'guarded_class': None
2022-11-23T01:32:38.0246323Z             }
2022-11-23T01:32:38.0246385Z             
2022-11-23T01:32:38.0246630Z [2022-11-23 01:27:29,120] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 369
2022-11-23T01:32:38.0246995Z [2022-11-23 01:27:31,743] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tr/ctrigkxxk44kcm5x2l7wxoajnlo5parn24ci7oo6oagrl4cazfwi.py
2022-11-23T01:32:38.0247257Z [2022-11-23 01:27:31,744] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 369
2022-11-23T01:32:38.0247495Z [2022-11-23 01:27:31,757] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0247763Z [2022-11-23 01:27:31,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0247977Z [2022-11-23 01:27:31,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0248231Z [2022-11-23 01:27:31,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0248514Z [2022-11-23 01:27:31,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0248836Z [2022-11-23 01:27:31,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0249149Z [2022-11-23 01:27:31,758] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6406300, file "inductor/test_torchinductor.py", line 1697> 
2022-11-23T01:32:38.0249361Z  1698           0 LOAD_CONST               1 (<code object <listcomp> at 0x7f71f6406270, file "inductor/test_torchinductor.py", line 1698>)
2022-11-23T01:32:38.0249611Z                2 LOAD_CONST               2 ('CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp>')
2022-11-23T01:32:38.0249729Z                4 MAKE_FUNCTION            0
2022-11-23T01:32:38.0249824Z                6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0249916Z                8 LOAD_METHOD              1 (split)
2022-11-23T01:32:38.0250004Z               10 LOAD_FAST                0 (a)
2022-11-23T01:32:38.0250094Z               12 LOAD_CONST               3 (2.0)
2022-11-23T01:32:38.0250164Z               14 BINARY_MULTIPLY
2022-11-23T01:32:38.0250254Z               16 LOAD_FAST                1 (sizes)
2022-11-23T01:32:38.0250393Z               18 LOAD_CONST               4 (-1)
2022-11-23T01:32:38.0250479Z               20 CALL_METHOD              3
2022-11-23T01:32:38.0250549Z               22 GET_ITER
2022-11-23T01:32:38.0250637Z               24 CALL_FUNCTION            1
2022-11-23T01:32:38.0250758Z               26 RETURN_VALUE
2022-11-23T01:32:38.0250808Z  
2022-11-23T01:32:38.0250827Z 
2022-11-23T01:32:38.0251083Z [2022-11-23 01:27:31,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1698
2022-11-23T01:32:38.0251428Z [2022-11-23 01:27:31,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7f71f6406270, file "inductor/test_torchinductor.py", line 1698> []
2022-11-23T01:32:38.0251778Z [2022-11-23 01:27:31,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp> [ConstantVariable(code)]
2022-11-23T01:32:38.0252068Z [2022-11-23 01:27:31,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)]
2022-11-23T01:32:38.0252343Z [2022-11-23 01:27:31,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [NestedUserFunctionVariable()]
2022-11-23T01:32:38.0252765Z [2022-11-23 01:27:31,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [NestedUserFunctionVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0253109Z [2022-11-23 01:27:31,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f71ce434a70>)]
2022-11-23T01:32:38.0253483Z [2022-11-23 01:27:31,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f71ce434a70>), TensorVariable()]
2022-11-23T01:32:38.0253913Z [2022-11-23 01:27:31,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f71ce434a70>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:38.0254288Z [2022-11-23 01:27:31,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sizes [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f71ce434a70>), TensorVariable()]
2022-11-23T01:32:38.0254683Z [2022-11-23 01:27:31,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f71ce434a70>), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.0255121Z [2022-11-23 01:27:31,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f71ce434a70>), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0255403Z [2022-11-23 01:27:31,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0255711Z [2022-11-23 01:27:31,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0256072Z [2022-11-23 01:27:31,774] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7f71f6406270, file "inductor/test_torchinductor.py", line 1698> 
2022-11-23T01:32:38.0256165Z  1698           0 BUILD_LIST               0
2022-11-23T01:32:38.0256256Z                2 LOAD_FAST                0 (.0)
2022-11-23T01:32:38.0256374Z          >>    4 FOR_ITER                12 (to 18)
2022-11-23T01:32:38.0256466Z                6 STORE_FAST               1 (t)
2022-11-23T01:32:38.0256557Z                8 LOAD_FAST                1 (t)
2022-11-23T01:32:38.0256651Z               10 LOAD_CONST               0 (1.0)
2022-11-23T01:32:38.0256712Z               12 BINARY_ADD
2022-11-23T01:32:38.0256800Z               14 LIST_APPEND              2
2022-11-23T01:32:38.0256889Z               16 JUMP_ABSOLUTE            4
2022-11-23T01:32:38.0256964Z          >>   18 RETURN_VALUE
2022-11-23T01:32:38.0257025Z  
2022-11-23T01:32:38.0257031Z 
2022-11-23T01:32:38.0257242Z [2022-11-23 01:27:31,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T01:32:38.0257473Z [2022-11-23 01:27:31,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
2022-11-23T01:32:38.0257736Z [2022-11-23 01:27:31,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0258040Z [2022-11-23 01:27:31,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0258312Z [2022-11-23 01:27:31,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0258616Z [2022-11-23 01:27:31,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0258961Z [2022-11-23 01:27:31,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:38.0259266Z [2022-11-23 01:27:31,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0259542Z [2022-11-23 01:27:31,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0259815Z [2022-11-23 01:27:31,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0260115Z [2022-11-23 01:27:31,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0260382Z [2022-11-23 01:27:31,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0260686Z [2022-11-23 01:27:31,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0261026Z [2022-11-23 01:27:31,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:38.0261331Z [2022-11-23 01:27:31,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0261611Z [2022-11-23 01:27:31,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0261882Z [2022-11-23 01:27:31,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0262182Z [2022-11-23 01:27:31,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0262450Z [2022-11-23 01:27:31,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0262781Z [2022-11-23 01:27:31,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0263128Z [2022-11-23 01:27:31,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:38.0263472Z [2022-11-23 01:27:31,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0263751Z [2022-11-23 01:27:31,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0264009Z [2022-11-23 01:27:31,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0264249Z [2022-11-23 01:27:31,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:38.0264670Z [2022-11-23 01:27:31,785] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7f71f6406270, file "inductor/test_torchinductor.py", line 1698>
2022-11-23T01:32:38.0264917Z [2022-11-23 01:27:31,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:38.0265244Z [2022-11-23 01:27:31,785] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6406300, file "inductor/test_torchinductor.py", line 1697>
2022-11-23T01:32:38.0265488Z [2022-11-23 01:27:31,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:38.0265721Z [2022-11-23 01:27:31,785] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0265975Z [2022-11-23 01:27:31,788] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0266227Z [2022-11-23 01:27:31,806] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0266416Z [2022-11-23 01:27:31,807] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0266536Z  __compiled_fn_378 <eval_with_key>.2342 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0266628Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0266803Z call_function, mul, <built-in function mul>, (ex_0_, 2.0), {}
2022-11-23T01:32:38.0267013Z call_function, split, <function split at 0x7f71ce434a70>, (mul, [4, 3, 3], -1), {}
2022-11-23T01:32:38.0267200Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T01:32:38.0267390Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T01:32:38.0267577Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T01:32:38.0267756Z call_function, add, <built-in function add>, (getitem, 1.0), {}
2022-11-23T01:32:38.0267928Z call_function, add_1, <built-in function add>, (getitem_1, 1.0), {}
2022-11-23T01:32:38.0268107Z call_function, add_2, <built-in function add>, (getitem_2, 1.0), {}
2022-11-23T01:32:38.0268216Z output, output, output, ((add, add_1, add_2),), {}
2022-11-23T01:32:38.0268221Z 
2022-11-23T01:32:38.0268498Z [2022-11-23 01:27:31,807] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0268596Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0268687Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0268780Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0268869Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0268932Z               8 RETURN_VALUE
2022-11-23T01:32:38.0268937Z 
2022-11-23T01:32:38.0268997Z  
2022-11-23T01:32:38.0269271Z [2022-11-23 01:27:31,808] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0269414Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_378)
2022-11-23T01:32:38.0269502Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0269591Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0269667Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0269742Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.0269846Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.0269973Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0270062Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0270137Z              16 BINARY_SUBSCR
2022-11-23T01:32:38.0270239Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0270327Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0270389Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.0270489Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0270578Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:38.0270652Z              28 BINARY_SUBSCR
2022-11-23T01:32:38.0270736Z              30 BUILD_LIST               3
2022-11-23T01:32:38.0270810Z              32 RETURN_VALUE
2022-11-23T01:32:38.0270815Z 
2022-11-23T01:32:38.0270875Z  
2022-11-23T01:32:38.0271055Z [2022-11-23 01:27:31,811] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0271112Z  - 
2022-11-23T01:32:38.0271229Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0271294Z             {
2022-11-23T01:32:38.0271436Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0271620Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.0271736Z                 'obj_weakref': None
2022-11-23T01:32:38.0271959Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0272010Z             }
2022-11-23T01:32:38.0272072Z             
2022-11-23T01:32:38.0272143Z  - 
2022-11-23T01:32:38.0272266Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0272328Z             {
2022-11-23T01:32:38.0272468Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0272562Z                 'code': None,
2022-11-23T01:32:38.0272768Z                 'obj_weakref': <weakref at 0x7f710699b0b0; to 'Tensor' at 0x7f71c13454d0>
2022-11-23T01:32:38.0273017Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0273080Z             }
2022-11-23T01:32:38.0273143Z             
2022-11-23T01:32:38.0273212Z  - 
2022-11-23T01:32:38.0273334Z             local 'ex[1]' EQUALS_MATCH
2022-11-23T01:32:38.0273395Z             {
2022-11-23T01:32:38.0273551Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.0273934Z                 'code': ['___check_type_id(ex[1], 94279403917216)', 'len(ex[1]) == 3', '___check_type_id(ex[1][0], 94279403915040)', '___check_type_id(ex[1][1], 94279403915040)', '___check_type_id(ex[1][2], 94279403915040)', 'ex[1] == [4, 3, 3]'],
2022-11-23T01:32:38.0274055Z                 'obj_weakref': None
2022-11-23T01:32:38.0274274Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.0274338Z             }
2022-11-23T01:32:38.0274400Z             
2022-11-23T01:32:38.0274466Z  - 
2022-11-23T01:32:38.0274583Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0274647Z             {
2022-11-23T01:32:38.0274780Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0274948Z                 'code': ['___check_obj_id(model, 140123412383936)'],
2022-11-23T01:32:38.0275063Z                 'obj_weakref': None
2022-11-23T01:32:38.0275290Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0275352Z             }
2022-11-23T01:32:38.0275402Z             
2022-11-23T01:32:38.0275469Z  - 
2022-11-23T01:32:38.0275619Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0275682Z             {
2022-11-23T01:32:38.0275818Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0276030Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0276145Z                 'obj_weakref': None
2022-11-23T01:32:38.0276347Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0276436Z             }
2022-11-23T01:32:38.0276499Z             
2022-11-23T01:32:38.0276566Z  - 
2022-11-23T01:32:38.0276698Z             local 'ex[1][0]' CONSTANT_MATCH
2022-11-23T01:32:38.0276759Z             {
2022-11-23T01:32:38.0276897Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.0277075Z                 'code': ['___check_type_id(ex[1][0], 94279403915040)', 'ex[1][0] == 4'],
2022-11-23T01:32:38.0277376Z                 'obj_weakref': None
2022-11-23T01:32:38.0277621Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.0277689Z             }
2022-11-23T01:32:38.0277753Z             
2022-11-23T01:32:38.0277821Z  - 
2022-11-23T01:32:38.0277955Z             local 'ex[1][1]' CONSTANT_MATCH
2022-11-23T01:32:38.0278006Z             {
2022-11-23T01:32:38.0278146Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.0278339Z                 'code': ['___check_type_id(ex[1][1], 94279403915040)', 'ex[1][1] == 3'],
2022-11-23T01:32:38.0278456Z                 'obj_weakref': None
2022-11-23T01:32:38.0278671Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.0278734Z             }
2022-11-23T01:32:38.0278796Z             
2022-11-23T01:32:38.0278852Z  - 
2022-11-23T01:32:38.0278987Z             local 'ex[1][2]' CONSTANT_MATCH
2022-11-23T01:32:38.0279049Z             {
2022-11-23T01:32:38.0279189Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.0279381Z                 'code': ['___check_type_id(ex[1][2], 94279403915040)', 'ex[1][2] == 3'],
2022-11-23T01:32:38.0279498Z                 'obj_weakref': None
2022-11-23T01:32:38.0279714Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.0279764Z             }
2022-11-23T01:32:38.0279826Z             
2022-11-23T01:32:38.0279893Z  - 
2022-11-23T01:32:38.0280023Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.0280087Z             {
2022-11-23T01:32:38.0280210Z                 'guard_types': None,
2022-11-23T01:32:38.0280317Z                 'code': None,
2022-11-23T01:32:38.0280419Z                 'obj_weakref': None
2022-11-23T01:32:38.0280539Z                 'guarded_class': None
2022-11-23T01:32:38.0280600Z             }
2022-11-23T01:32:38.0280661Z             
2022-11-23T01:32:38.0280919Z [2022-11-23 01:27:31,835] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 370
2022-11-23T01:32:38.0281291Z [2022-11-23 01:27:34,492] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7a/c7auknktvdds23dlyxoemrxo4c7nlminr5rzptbhzgm2di2dgqlz.py
2022-11-23T01:32:38.0281553Z [2022-11-23 01:27:34,493] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 370
2022-11-23T01:32:38.0281788Z [2022-11-23 01:27:34,507] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0282044Z [2022-11-23 01:27:34,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0282259Z [2022-11-23 01:27:34,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0282509Z [2022-11-23 01:27:34,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0282792Z [2022-11-23 01:27:34,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0283176Z [2022-11-23 01:27:34,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0283505Z [2022-11-23 01:27:34,508] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6406300, file "inductor/test_torchinductor.py", line 1697> 
2022-11-23T01:32:38.0283725Z  1698           0 LOAD_CONST               1 (<code object <listcomp> at 0x7f71f6406270, file "inductor/test_torchinductor.py", line 1698>)
2022-11-23T01:32:38.0283976Z                2 LOAD_CONST               2 ('CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp>')
2022-11-23T01:32:38.0284068Z                4 MAKE_FUNCTION            0
2022-11-23T01:32:38.0284150Z                6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0284243Z                8 LOAD_METHOD              1 (split)
2022-11-23T01:32:38.0284332Z               10 LOAD_FAST                0 (a)
2022-11-23T01:32:38.0284425Z               12 LOAD_CONST               3 (2.0)
2022-11-23T01:32:38.0284506Z               14 BINARY_MULTIPLY
2022-11-23T01:32:38.0284596Z               16 LOAD_FAST                1 (sizes)
2022-11-23T01:32:38.0284733Z               18 LOAD_CONST               4 (-1)
2022-11-23T01:32:38.0284807Z               20 CALL_METHOD              3
2022-11-23T01:32:38.0284880Z               22 GET_ITER
2022-11-23T01:32:38.0284970Z               24 CALL_FUNCTION            1
2022-11-23T01:32:38.0285047Z               26 RETURN_VALUE
2022-11-23T01:32:38.0285108Z  
2022-11-23T01:32:38.0285114Z 
2022-11-23T01:32:38.0285382Z [2022-11-23 01:27:34,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1698
2022-11-23T01:32:38.0285731Z [2022-11-23 01:27:34,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST <code object <listcomp> at 0x7f71f6406270, file "inductor/test_torchinductor.py", line 1698> []
2022-11-23T01:32:38.0286081Z [2022-11-23 01:27:34,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_split_with_sizes.<locals>.fn.<locals>.<listcomp> [ConstantVariable(code)]
2022-11-23T01:32:38.0286374Z [2022-11-23 01:27:34,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)]
2022-11-23T01:32:38.0286636Z [2022-11-23 01:27:34,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [NestedUserFunctionVariable()]
2022-11-23T01:32:38.0287063Z [2022-11-23 01:27:34,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [NestedUserFunctionVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0287405Z [2022-11-23 01:27:34,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f71ce434a70>)]
2022-11-23T01:32:38.0287778Z [2022-11-23 01:27:34,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f71ce434a70>), TensorVariable()]
2022-11-23T01:32:38.0288212Z [2022-11-23 01:27:34,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f71ce434a70>), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:38.0288586Z [2022-11-23 01:27:34,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sizes [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f71ce434a70>), TensorVariable()]
2022-11-23T01:32:38.0288980Z [2022-11-23 01:27:34,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f71ce434a70>), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.0289417Z [2022-11-23 01:27:34,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [NestedUserFunctionVariable(), TorchVariable(<function split at 0x7f71ce434a70>), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0289745Z [2022-11-23 01:27:34,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0290057Z [2022-11-23 01:27:34,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0290420Z [2022-11-23 01:27:34,525] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object <listcomp> at 0x7f71f6406270, file "inductor/test_torchinductor.py", line 1698> 
2022-11-23T01:32:38.0290510Z  1698           0 BUILD_LIST               0
2022-11-23T01:32:38.0290589Z                2 LOAD_FAST                0 (.0)
2022-11-23T01:32:38.0290679Z          >>    4 FOR_ITER                12 (to 18)
2022-11-23T01:32:38.0290768Z                6 STORE_FAST               1 (t)
2022-11-23T01:32:38.0290857Z                8 LOAD_FAST                1 (t)
2022-11-23T01:32:38.0290946Z               10 LOAD_CONST               0 (1.0)
2022-11-23T01:32:38.0291022Z               12 BINARY_ADD
2022-11-23T01:32:38.0291112Z               14 LIST_APPEND              2
2022-11-23T01:32:38.0291201Z               16 JUMP_ABSOLUTE            4
2022-11-23T01:32:38.0291264Z          >>   18 RETURN_VALUE
2022-11-23T01:32:38.0291323Z  
2022-11-23T01:32:38.0291329Z 
2022-11-23T01:32:38.0291539Z [2022-11-23 01:27:34,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 []
2022-11-23T01:32:38.0291775Z [2022-11-23 01:27:34,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()]
2022-11-23T01:32:38.0292045Z [2022-11-23 01:27:34,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0292347Z [2022-11-23 01:27:34,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0292620Z [2022-11-23 01:27:34,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0292926Z [2022-11-23 01:27:34,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0293275Z [2022-11-23 01:27:34,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:38.0293571Z [2022-11-23 01:27:34,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0293852Z [2022-11-23 01:27:34,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0294122Z [2022-11-23 01:27:34,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0294423Z [2022-11-23 01:27:34,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0294696Z [2022-11-23 01:27:34,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0295000Z [2022-11-23 01:27:34,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0295348Z [2022-11-23 01:27:34,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:38.0295652Z [2022-11-23 01:27:34,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0295930Z [2022-11-23 01:27:34,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0296198Z [2022-11-23 01:27:34,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0296524Z [2022-11-23 01:27:34,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0296792Z [2022-11-23 01:27:34,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0297123Z [2022-11-23 01:27:34,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0297469Z [2022-11-23 01:27:34,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:38.0297773Z [2022-11-23 01:27:34,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0298050Z [2022-11-23 01:27:34,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0298324Z [2022-11-23 01:27:34,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0298623Z [2022-11-23 01:27:34,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0298892Z [2022-11-23 01:27:34,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0299195Z [2022-11-23 01:27:34,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0299540Z [2022-11-23 01:27:34,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:38.0299830Z [2022-11-23 01:27:34,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()]
2022-11-23T01:32:38.0300110Z [2022-11-23 01:27:34,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0300379Z [2022-11-23 01:27:34,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()]
2022-11-23T01:32:38.0300620Z [2022-11-23 01:27:34,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:38.0300960Z [2022-11-23 01:27:34,539] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object <listcomp> at 0x7f71f6406270, file "inductor/test_torchinductor.py", line 1698>
2022-11-23T01:32:38.0301198Z [2022-11-23 01:27:34,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:38.0301524Z [2022-11-23 01:27:34,539] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6406300, file "inductor/test_torchinductor.py", line 1697>
2022-11-23T01:32:38.0301764Z [2022-11-23 01:27:34,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()]
2022-11-23T01:32:38.0302008Z [2022-11-23 01:27:34,539] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0302260Z [2022-11-23 01:27:34,543] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0302499Z [2022-11-23 01:27:34,561] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0302687Z [2022-11-23 01:27:34,562] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0302819Z  __compiled_fn_379 <eval_with_key>.2348 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0302909Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0303083Z call_function, mul, <built-in function mul>, (ex_0_, 2.0), {}
2022-11-23T01:32:38.0303293Z call_function, split, <function split at 0x7f71ce434a70>, (mul, [1, 2, 3, 4], -1), {}
2022-11-23T01:32:38.0303513Z call_function, getitem, <built-in function getitem>, (split, 0), {}
2022-11-23T01:32:38.0303702Z call_function, getitem_1, <built-in function getitem>, (split, 1), {}
2022-11-23T01:32:38.0303876Z call_function, getitem_2, <built-in function getitem>, (split, 2), {}
2022-11-23T01:32:38.0304057Z call_function, getitem_3, <built-in function getitem>, (split, 3), {}
2022-11-23T01:32:38.0304235Z call_function, add, <built-in function add>, (getitem, 1.0), {}
2022-11-23T01:32:38.0304519Z call_function, add_1, <built-in function add>, (getitem_1, 1.0), {}
2022-11-23T01:32:38.0304709Z call_function, add_2, <built-in function add>, (getitem_2, 1.0), {}
2022-11-23T01:32:38.0304885Z call_function, add_3, <built-in function add>, (getitem_3, 1.0), {}
2022-11-23T01:32:38.0305002Z output, output, output, ((add, add_1, add_2, add_3),), {}
2022-11-23T01:32:38.0305008Z 
2022-11-23T01:32:38.0305287Z [2022-11-23 01:27:34,563] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0305371Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0305459Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0305550Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0305641Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0305718Z               8 RETURN_VALUE
2022-11-23T01:32:38.0305723Z 
2022-11-23T01:32:38.0305783Z  
2022-11-23T01:32:38.0306060Z [2022-11-23 01:27:34,563] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0306168Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_379)
2022-11-23T01:32:38.0306245Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0306335Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0306411Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0306499Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.0306604Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.0306707Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0306796Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0306860Z              16 BINARY_SUBSCR
2022-11-23T01:32:38.0306958Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0307049Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0307123Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.0307224Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0307310Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:38.0307384Z              28 BINARY_SUBSCR
2022-11-23T01:32:38.0307471Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0307557Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:38.0307631Z              34 BINARY_SUBSCR
2022-11-23T01:32:38.0307714Z              36 BUILD_LIST               4
2022-11-23T01:32:38.0307789Z              38 RETURN_VALUE
2022-11-23T01:32:38.0307794Z 
2022-11-23T01:32:38.0307854Z  
2022-11-23T01:32:38.0308034Z [2022-11-23 01:27:34,567] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0308090Z  - 
2022-11-23T01:32:38.0308207Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0308271Z             {
2022-11-23T01:32:38.0308410Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0308595Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.0308740Z                 'obj_weakref': None
2022-11-23T01:32:38.0308964Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0309028Z             }
2022-11-23T01:32:38.0309078Z             
2022-11-23T01:32:38.0309145Z  - 
2022-11-23T01:32:38.0309268Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0309330Z             {
2022-11-23T01:32:38.0309471Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0309611Z                 'code': None,
2022-11-23T01:32:38.0309806Z                 'obj_weakref': <weakref at 0x7f70f2944050; to 'Tensor' at 0x7f71c13454d0>
2022-11-23T01:32:38.0310053Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0310115Z             }
2022-11-23T01:32:38.0310180Z             
2022-11-23T01:32:38.0310249Z  - 
2022-11-23T01:32:38.0310421Z             local 'ex[1]' EQUALS_MATCH
2022-11-23T01:32:38.0310484Z             {
2022-11-23T01:32:38.0310640Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.0311084Z                 'code': ['___check_type_id(ex[1], 94279403917216)', 'len(ex[1]) == 4', '___check_type_id(ex[1][0], 94279403915040)', '___check_type_id(ex[1][1], 94279403915040)', '___check_type_id(ex[1][2], 94279403915040)', '___check_type_id(ex[1][3], 94279403915040)', 'ex[1] == [1, 2, 3, 4]'],
2022-11-23T01:32:38.0311203Z                 'obj_weakref': None
2022-11-23T01:32:38.0311424Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.0311487Z             }
2022-11-23T01:32:38.0311550Z             
2022-11-23T01:32:38.0311617Z  - 
2022-11-23T01:32:38.0311747Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0311798Z             {
2022-11-23T01:32:38.0311931Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0312101Z                 'code': ['___check_obj_id(model, 140123412383936)'],
2022-11-23T01:32:38.0312220Z                 'obj_weakref': None
2022-11-23T01:32:38.0312446Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0312508Z             }
2022-11-23T01:32:38.0312571Z             
2022-11-23T01:32:38.0312626Z  - 
2022-11-23T01:32:38.0312744Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0312806Z             {
2022-11-23T01:32:38.0312939Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0313154Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0313270Z                 'obj_weakref': None
2022-11-23T01:32:38.0313484Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0313534Z             }
2022-11-23T01:32:38.0313595Z             
2022-11-23T01:32:38.0313662Z  - 
2022-11-23T01:32:38.0313797Z             local 'ex[1][0]' CONSTANT_MATCH
2022-11-23T01:32:38.0313859Z             {
2022-11-23T01:32:38.0314000Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.0314190Z                 'code': ['___check_type_id(ex[1][0], 94279403915040)', 'ex[1][0] == 1'],
2022-11-23T01:32:38.0314294Z                 'obj_weakref': None
2022-11-23T01:32:38.0314510Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.0314572Z             }
2022-11-23T01:32:38.0314637Z             
2022-11-23T01:32:38.0314704Z  - 
2022-11-23T01:32:38.0314839Z             local 'ex[1][1]' CONSTANT_MATCH
2022-11-23T01:32:38.0314904Z             {
2022-11-23T01:32:38.0315051Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.0315242Z                 'code': ['___check_type_id(ex[1][1], 94279403915040)', 'ex[1][1] == 2'],
2022-11-23T01:32:38.0315358Z                 'obj_weakref': None
2022-11-23T01:32:38.0315576Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.0315638Z             }
2022-11-23T01:32:38.0315701Z             
2022-11-23T01:32:38.0315771Z  - 
2022-11-23T01:32:38.0315892Z             local 'ex[1][2]' CONSTANT_MATCH
2022-11-23T01:32:38.0315954Z             {
2022-11-23T01:32:38.0316092Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.0316282Z                 'code': ['___check_type_id(ex[1][2], 94279403915040)', 'ex[1][2] == 3'],
2022-11-23T01:32:38.0316397Z                 'obj_weakref': None
2022-11-23T01:32:38.0316645Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.0316707Z             }
2022-11-23T01:32:38.0316758Z             
2022-11-23T01:32:38.0316828Z  - 
2022-11-23T01:32:38.0316960Z             local 'ex[1][3]' CONSTANT_MATCH
2022-11-23T01:32:38.0317022Z             {
2022-11-23T01:32:38.0317277Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.0317547Z                 'code': ['___check_type_id(ex[1][3], 94279403915040)', 'ex[1][3] == 4'],
2022-11-23T01:32:38.0317667Z                 'obj_weakref': None
2022-11-23T01:32:38.0317870Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.0317934Z             }
2022-11-23T01:32:38.0317999Z             
2022-11-23T01:32:38.0318068Z  - 
2022-11-23T01:32:38.0318199Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.0318262Z             {
2022-11-23T01:32:38.0318384Z                 'guard_types': None,
2022-11-23T01:32:38.0318476Z                 'code': None,
2022-11-23T01:32:38.0318592Z                 'obj_weakref': None
2022-11-23T01:32:38.0318713Z                 'guarded_class': None
2022-11-23T01:32:38.0318776Z             }
2022-11-23T01:32:38.0318839Z             
2022-11-23T01:32:38.0319100Z [2022-11-23 01:27:34,595] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 371
2022-11-23T01:32:38.0319105Z 
2022-11-23T01:32:38.0319199Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0319253Z import torch
2022-11-23T01:32:38.0319321Z import random
2022-11-23T01:32:38.0319437Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0319558Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0319562Z 
2022-11-23T01:32:38.0319640Z aten = torch.ops.aten
2022-11-23T01:32:38.0319775Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0319867Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0319874Z 
2022-11-23T01:32:38.0319878Z 
2022-11-23T01:32:38.0320011Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0320203Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0320321Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.0320421Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.0320519Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:38.0320612Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:38.0320672Z {
2022-11-23T01:32:38.0320769Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0320819Z     {
2022-11-23T01:32:38.0320895Z         #pragma omp for 
2022-11-23T01:32:38.0320976Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:38.0321038Z         {
2022-11-23T01:32:38.0321116Z             #pragma GCC ivdep
2022-11-23T01:32:38.0321197Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:38.0321260Z             {
2022-11-23T01:32:38.0321310Z                 {
2022-11-23T01:32:38.0321376Z                     {
2022-11-23T01:32:38.0321478Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:38.0321585Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:32:38.0321677Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.0321784Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:32:38.0321878Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.0321960Z                         out_ptr0[i1 + (3*i0)] = tmp4;
2022-11-23T01:32:38.0322026Z                     }
2022-11-23T01:32:38.0322091Z                 }
2022-11-23T01:32:38.0322153Z             }
2022-11-23T01:32:38.0322214Z         }
2022-11-23T01:32:38.0322289Z         #pragma omp for 
2022-11-23T01:32:38.0322369Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:38.0322418Z         {
2022-11-23T01:32:38.0322496Z             #pragma GCC ivdep
2022-11-23T01:32:38.0322615Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:38.0322676Z             {
2022-11-23T01:32:38.0322739Z                 {
2022-11-23T01:32:38.0322803Z                     {
2022-11-23T01:32:38.0322895Z                         auto tmp0 = in_ptr0[3 + i1 + (10*i0)];
2022-11-23T01:32:38.0323001Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:32:38.0323093Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.0323225Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:32:38.0323318Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.0323411Z                         out_ptr1[i1 + (3*i0)] = tmp4;
2022-11-23T01:32:38.0323476Z                     }
2022-11-23T01:32:38.0323539Z                 }
2022-11-23T01:32:38.0323589Z             }
2022-11-23T01:32:38.0323651Z         }
2022-11-23T01:32:38.0323727Z         #pragma omp for 
2022-11-23T01:32:38.0323809Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:38.0323873Z         {
2022-11-23T01:32:38.0323951Z             #pragma GCC ivdep
2022-11-23T01:32:38.0324019Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:38.0324082Z             {
2022-11-23T01:32:38.0324145Z                 {
2022-11-23T01:32:38.0324209Z                     {
2022-11-23T01:32:38.0324312Z                         auto tmp0 = in_ptr0[6 + i1 + (10*i0)];
2022-11-23T01:32:38.0324416Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:32:38.0324508Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.0324601Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:32:38.0324690Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.0324783Z                         out_ptr2[i1 + (4*i0)] = tmp4;
2022-11-23T01:32:38.0324847Z                     }
2022-11-23T01:32:38.0324910Z                 }
2022-11-23T01:32:38.0324974Z             }
2022-11-23T01:32:38.0325035Z         }
2022-11-23T01:32:38.0325085Z     }
2022-11-23T01:32:38.0325143Z }
2022-11-23T01:32:38.0325220Z ''')
2022-11-23T01:32:38.0325225Z 
2022-11-23T01:32:38.0325229Z 
2022-11-23T01:32:38.0325319Z async_compile.wait(globals())
2022-11-23T01:32:38.0325389Z del async_compile
2022-11-23T01:32:38.0325394Z 
2022-11-23T01:32:38.0325462Z def call(args):
2022-11-23T01:32:38.0325530Z     arg0_1, = args
2022-11-23T01:32:38.0325587Z     args.clear()
2022-11-23T01:32:38.0325792Z     buf0 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0325993Z     buf1 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0326191Z     buf2 = empty_strided((2, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0326379Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:38.0326446Z     del arg0_1
2022-11-23T01:32:38.0326527Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:38.0326535Z 
2022-11-23T01:32:38.0326539Z 
2022-11-23T01:32:38.0326614Z if __name__ == "__main__":
2022-11-23T01:32:38.0326716Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0326837Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0327039Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0327146Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.0327151Z 
2022-11-23T01:32:38.0327157Z 
2022-11-23T01:32:38.0327249Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0327318Z import torch
2022-11-23T01:32:38.0327388Z import random
2022-11-23T01:32:38.0327501Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0327608Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0327613Z 
2022-11-23T01:32:38.0327689Z aten = torch.ops.aten
2022-11-23T01:32:38.0327823Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0327943Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0327948Z 
2022-11-23T01:32:38.0327952Z 
2022-11-23T01:32:38.0328085Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0328289Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0328406Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.0328505Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.0328616Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:38.0328709Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:38.0328771Z {
2022-11-23T01:32:38.0328867Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0328927Z     {
2022-11-23T01:32:38.0329003Z         #pragma omp for 
2022-11-23T01:32:38.0329083Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:38.0329133Z         {
2022-11-23T01:32:38.0329212Z             #pragma GCC ivdep
2022-11-23T01:32:38.0329294Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:38.0329361Z             {
2022-11-23T01:32:38.0329425Z                 {
2022-11-23T01:32:38.0329490Z                     {
2022-11-23T01:32:38.0329591Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:38.0329687Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:32:38.0329781Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.0329890Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:32:38.0329980Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.0330075Z                         out_ptr0[i1 + (4*i0)] = tmp4;
2022-11-23T01:32:38.0330139Z                     }
2022-11-23T01:32:38.0330202Z                 }
2022-11-23T01:32:38.0330251Z             }
2022-11-23T01:32:38.0330311Z         }
2022-11-23T01:32:38.0330387Z         #pragma omp for 
2022-11-23T01:32:38.0330466Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:38.0330527Z         {
2022-11-23T01:32:38.0330607Z             #pragma GCC ivdep
2022-11-23T01:32:38.0330675Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:38.0330736Z             {
2022-11-23T01:32:38.0330798Z                 {
2022-11-23T01:32:38.0330863Z                     {
2022-11-23T01:32:38.0330965Z                         auto tmp0 = in_ptr0[4 + i1 + (10*i0)];
2022-11-23T01:32:38.0331071Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:32:38.0331164Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.0331257Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:32:38.0331347Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.0331440Z                         out_ptr1[i1 + (3*i0)] = tmp4;
2022-11-23T01:32:38.0331505Z                     }
2022-11-23T01:32:38.0331568Z                 }
2022-11-23T01:32:38.0331629Z             }
2022-11-23T01:32:38.0331693Z         }
2022-11-23T01:32:38.0331755Z         #pragma omp for 
2022-11-23T01:32:38.0331836Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:38.0331900Z         {
2022-11-23T01:32:38.0331978Z             #pragma GCC ivdep
2022-11-23T01:32:38.0332058Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:38.0332120Z             {
2022-11-23T01:32:38.0332183Z                 {
2022-11-23T01:32:38.0332236Z                     {
2022-11-23T01:32:38.0332338Z                         auto tmp0 = in_ptr0[7 + i1 + (10*i0)];
2022-11-23T01:32:38.0332445Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:32:38.0332536Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.0332642Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:32:38.0332733Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.0332826Z                         out_ptr2[i1 + (3*i0)] = tmp4;
2022-11-23T01:32:38.0332881Z                     }
2022-11-23T01:32:38.0332943Z                 }
2022-11-23T01:32:38.0333004Z             }
2022-11-23T01:32:38.0333094Z         }
2022-11-23T01:32:38.0333156Z     }
2022-11-23T01:32:38.0333215Z }
2022-11-23T01:32:38.0333292Z ''')
2022-11-23T01:32:38.0333298Z 
2022-11-23T01:32:38.0333302Z 
2022-11-23T01:32:38.0333378Z async_compile.wait(globals())
2022-11-23T01:32:38.0333449Z del async_compile
2022-11-23T01:32:38.0333454Z 
2022-11-23T01:32:38.0333522Z def call(args):
2022-11-23T01:32:38.0333591Z     arg0_1, = args
2022-11-23T01:32:38.0333660Z     args.clear()
2022-11-23T01:32:38.0333906Z     buf0 = empty_strided((2, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0334108Z     buf1 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0334291Z     buf2 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0334477Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:38.0334544Z     del arg0_1
2022-11-23T01:32:38.0334627Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:38.0334634Z 
2022-11-23T01:32:38.0334639Z 
2022-11-23T01:32:38.0334716Z if __name__ == "__main__":
2022-11-23T01:32:38.0334829Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0334950Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0335153Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0335259Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.0335266Z 
2022-11-23T01:32:38.0335270Z 
2022-11-23T01:32:38.0335350Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0335418Z import torch
2022-11-23T01:32:38.0335490Z import random
2022-11-23T01:32:38.0335605Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0335723Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0335728Z 
2022-11-23T01:32:38.0335805Z aten = torch.ops.aten
2022-11-23T01:32:38.0335939Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0336020Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0336038Z 
2022-11-23T01:32:38.0336041Z 
2022-11-23T01:32:38.0336160Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0336364Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0336482Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.0336580Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.0336680Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:38.0336772Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:38.0336864Z                        float* __restrict__ out_ptr3)
2022-11-23T01:32:38.0336913Z {
2022-11-23T01:32:38.0337009Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0337070Z     {
2022-11-23T01:32:38.0337147Z         #pragma omp for 
2022-11-23T01:32:38.0337227Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:38.0337314Z         {
2022-11-23T01:32:38.0337378Z             {
2022-11-23T01:32:38.0337428Z                 {
2022-11-23T01:32:38.0337522Z                     auto tmp0 = in_ptr0[10*i0];
2022-11-23T01:32:38.0337628Z                     auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:32:38.0337718Z                     auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.0337823Z                     auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:32:38.0337913Z                     auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.0337998Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:32:38.0338050Z                 }
2022-11-23T01:32:38.0338113Z             }
2022-11-23T01:32:38.0338174Z         }
2022-11-23T01:32:38.0338250Z         #pragma omp for 
2022-11-23T01:32:38.0338330Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:38.0338390Z         {
2022-11-23T01:32:38.0338457Z             #pragma GCC ivdep
2022-11-23T01:32:38.0338538Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:38.0338600Z             {
2022-11-23T01:32:38.0338698Z                 {
2022-11-23T01:32:38.0338767Z                     {
2022-11-23T01:32:38.0338874Z                         auto tmp0 = in_ptr0[1 + i1 + (10*i0)];
2022-11-23T01:32:38.0338982Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:32:38.0339062Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.0339169Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:32:38.0339286Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.0339381Z                         out_ptr1[i1 + (2*i0)] = tmp4;
2022-11-23T01:32:38.0339449Z                     }
2022-11-23T01:32:38.0339513Z                 }
2022-11-23T01:32:38.0339574Z             }
2022-11-23T01:32:38.0339624Z         }
2022-11-23T01:32:38.0339698Z         #pragma omp for 
2022-11-23T01:32:38.0339777Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:38.0339840Z         {
2022-11-23T01:32:38.0339918Z             #pragma GCC ivdep
2022-11-23T01:32:38.0340002Z             for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:38.0340064Z             {
2022-11-23T01:32:38.0340115Z                 {
2022-11-23T01:32:38.0340180Z                     {
2022-11-23T01:32:38.0340284Z                         auto tmp0 = in_ptr0[3 + i1 + (10*i0)];
2022-11-23T01:32:38.0340389Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:32:38.0340479Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.0340590Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:32:38.0340683Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.0340765Z                         out_ptr2[i1 + (3*i0)] = tmp4;
2022-11-23T01:32:38.0340830Z                     }
2022-11-23T01:32:38.0340893Z                 }
2022-11-23T01:32:38.0340955Z             }
2022-11-23T01:32:38.0341017Z         }
2022-11-23T01:32:38.0341093Z         #pragma omp for 
2022-11-23T01:32:38.0341172Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:38.0341224Z         {
2022-11-23T01:32:38.0341302Z             #pragma GCC ivdep
2022-11-23T01:32:38.0341383Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:38.0341446Z             {
2022-11-23T01:32:38.0341512Z                 {
2022-11-23T01:32:38.0341576Z                     {
2022-11-23T01:32:38.0341678Z                         auto tmp0 = in_ptr0[6 + i1 + (10*i0)];
2022-11-23T01:32:38.0341771Z                         auto tmp1 = static_cast<float>(2.0);
2022-11-23T01:32:38.0341864Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.0341968Z                         auto tmp3 = static_cast<float>(1.0);
2022-11-23T01:32:38.0342059Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.0342151Z                         out_ptr3[i1 + (4*i0)] = tmp4;
2022-11-23T01:32:38.0342218Z                     }
2022-11-23T01:32:38.0342283Z                 }
2022-11-23T01:32:38.0342333Z             }
2022-11-23T01:32:38.0342394Z         }
2022-11-23T01:32:38.0342455Z     }
2022-11-23T01:32:38.0342515Z }
2022-11-23T01:32:38.0342595Z ''')
2022-11-23T01:32:38.0342600Z 
2022-11-23T01:32:38.0342604Z 
2022-11-23T01:32:38.0342693Z async_compile.wait(globals())
2022-11-23T01:32:38.0342763Z del async_compile
2022-11-23T01:32:38.0342768Z 
2022-11-23T01:32:38.0342824Z def call(args):
2022-11-23T01:32:38.0342891Z     arg0_1, = args
2022-11-23T01:32:38.0342961Z     args.clear()
2022-11-23T01:32:38.0343164Z     buf0 = empty_strided((2, 2, 1), (2, 1, 4), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0343364Z     buf1 = empty_strided((2, 2, 2), (4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0343560Z     buf2 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0343753Z     buf3 = empty_strided((2, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0343955Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:38.0344056Z     del arg0_1
2022-11-23T01:32:38.0344144Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:38.0344149Z 
2022-11-23T01:32:38.0344153Z 
2022-11-23T01:32:38.0344228Z if __name__ == "__main__":
2022-11-23T01:32:38.0344341Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0344572Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0344786Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0344929Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.0345302Z [2022-11-23 01:27:37,263] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wq/cwqk3kssls35ouazr4lspi7rqyixrrd3whe6rvppbyout4jaej4j.py
2022-11-23T01:32:38.0345553Z [2022-11-23 01:27:37,263] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 371
2022-11-23T01:32:38.0345559Z 
2022-11-23T01:32:38.0345627Z ok (8.237s)
2022-11-23T01:32:38.0345934Z   test_squeeze1_cpu (__main__.CpuTests) ... [2022-11-23 01:27:37,279] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0346202Z [2022-11-23 01:27:37,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0346419Z [2022-11-23 01:27:37,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0346677Z [2022-11-23 01:27:37,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0346963Z [2022-11-23 01:27:37,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0347286Z [2022-11-23 01:27:37,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0347612Z [2022-11-23 01:27:37,280] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f647bae0, file "inductor/test_torchinductor.py", line 1269> 
2022-11-23T01:32:38.0347695Z  1270           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.0347786Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:38.0347859Z                4 BINARY_ADD
2022-11-23T01:32:38.0347955Z                6 LOAD_METHOD              0 (squeeze)
2022-11-23T01:32:38.0348042Z                8 CALL_METHOD              0
2022-11-23T01:32:38.0348130Z               10 LOAD_CONST               2 (2)
2022-11-23T01:32:38.0348204Z               12 BINARY_ADD
2022-11-23T01:32:38.0348290Z               14 LOAD_FAST                0 (a)
2022-11-23T01:32:38.0348373Z               16 LOAD_METHOD              0 (squeeze)
2022-11-23T01:32:38.0348459Z               18 CALL_METHOD              0
2022-11-23T01:32:38.0348546Z               20 LOAD_CONST               2 (2)
2022-11-23T01:32:38.0348618Z               22 BINARY_ADD
2022-11-23T01:32:38.0348707Z               24 BUILD_TUPLE              2
2022-11-23T01:32:38.0348783Z               26 RETURN_VALUE
2022-11-23T01:32:38.0348845Z  
2022-11-23T01:32:38.0348850Z 
2022-11-23T01:32:38.0349103Z [2022-11-23 01:27:37,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1270
2022-11-23T01:32:38.0349310Z [2022-11-23 01:27:37,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.0349549Z [2022-11-23 01:27:37,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:38.0349829Z [2022-11-23 01:27:37,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0350073Z [2022-11-23 01:27:37,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable()]
2022-11-23T01:32:38.0350359Z [2022-11-23 01:27:37,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T01:32:38.0350595Z [2022-11-23 01:27:37,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:38.0350910Z [2022-11-23 01:27:37,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0351145Z [2022-11-23 01:27:37,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:38.0351403Z [2022-11-23 01:27:37,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0351759Z [2022-11-23 01:27:37,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T01:32:38.0352023Z [2022-11-23 01:27:37,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0352331Z [2022-11-23 01:27:37,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0352600Z [2022-11-23 01:27:37,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0352844Z [2022-11-23 01:27:37,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0353174Z [2022-11-23 01:27:37,296] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f647bae0, file "inductor/test_torchinductor.py", line 1269>
2022-11-23T01:32:38.0353419Z [2022-11-23 01:27:37,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0353652Z [2022-11-23 01:27:37,296] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0353903Z [2022-11-23 01:27:37,298] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0354137Z [2022-11-23 01:27:37,310] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0354326Z [2022-11-23 01:27:37,311] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0354458Z  __compiled_fn_380 <eval_with_key>.2354 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0354548Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0354719Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:38.0354818Z call_method, squeeze, squeeze, (add,), {}
2022-11-23T01:32:38.0354998Z call_function, add_1, <built-in function add>, (squeeze, 2), {}
2022-11-23T01:32:38.0355100Z call_method, squeeze_1, squeeze, (ex_0_,), {}
2022-11-23T01:32:38.0355267Z call_function, add_2, <built-in function add>, (squeeze_1, 2), {}
2022-11-23T01:32:38.0355370Z output, output, output, ((add_1, add_2),), {}
2022-11-23T01:32:38.0355375Z 
2022-11-23T01:32:38.0355652Z [2022-11-23 01:27:37,312] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0355744Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0355836Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0355927Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0356017Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0356080Z               8 RETURN_VALUE
2022-11-23T01:32:38.0356096Z 
2022-11-23T01:32:38.0356144Z  
2022-11-23T01:32:38.0356414Z [2022-11-23 01:27:37,312] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0356522Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_380)
2022-11-23T01:32:38.0356610Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0356698Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0356774Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0356860Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.0356950Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.0357050Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0357338Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0357444Z              16 BINARY_SUBSCR
2022-11-23T01:32:38.0357546Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0357633Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0357709Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.0357785Z              24 BUILD_TUPLE              2
2022-11-23T01:32:38.0357913Z              26 RETURN_VALUE
2022-11-23T01:32:38.0357919Z 
2022-11-23T01:32:38.0357979Z  
2022-11-23T01:32:38.0358168Z [2022-11-23 01:27:37,313] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0358238Z  - 
2022-11-23T01:32:38.0358357Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0358421Z             {
2022-11-23T01:32:38.0358548Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0358734Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.0358857Z                 'obj_weakref': None
2022-11-23T01:32:38.0359081Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0359146Z             }
2022-11-23T01:32:38.0359211Z             
2022-11-23T01:32:38.0359279Z  - 
2022-11-23T01:32:38.0359389Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0359452Z             {
2022-11-23T01:32:38.0359594Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0359702Z                 'code': None,
2022-11-23T01:32:38.0359911Z                 'obj_weakref': <weakref at 0x7f7106f2ecb0; to 'Tensor' at 0x7f7106c9ff50>
2022-11-23T01:32:38.0360159Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0360222Z             }
2022-11-23T01:32:38.0360284Z             
2022-11-23T01:32:38.0360339Z  - 
2022-11-23T01:32:38.0360469Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0360531Z             {
2022-11-23T01:32:38.0360667Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0360835Z                 'code': ['___check_obj_id(model, 140126565021600)'],
2022-11-23T01:32:38.0360953Z                 'obj_weakref': None
2022-11-23T01:32:38.0361169Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0361231Z             }
2022-11-23T01:32:38.0361293Z             
2022-11-23T01:32:38.0361360Z  - 
2022-11-23T01:32:38.0361484Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0361545Z             {
2022-11-23T01:32:38.0361680Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0361883Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0362001Z                 'obj_weakref': None
2022-11-23T01:32:38.0362219Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0362284Z             }
2022-11-23T01:32:38.0362346Z             
2022-11-23T01:32:38.0362605Z [2022-11-23 01:27:37,331] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 372
2022-11-23T01:32:38.0362972Z [2022-11-23 01:27:39,909] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7p/c7pmv754hjoyl5crhrtiyd64qlhmdkbqcxqhaikbl4ngrwmnwucs.py
2022-11-23T01:32:38.0363241Z [2022-11-23 01:27:39,910] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 372
2022-11-23T01:32:38.0363246Z 
2022-11-23T01:32:38.0363339Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0363418Z import torch
2022-11-23T01:32:38.0363486Z import random
2022-11-23T01:32:38.0363599Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0363720Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0363725Z 
2022-11-23T01:32:38.0363801Z aten = torch.ops.aten
2022-11-23T01:32:38.0363934Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0364066Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0364070Z 
2022-11-23T01:32:38.0364075Z 
2022-11-23T01:32:38.0364195Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0364399Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0364518Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.0364620Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.0364747Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:38.0364807Z {
2022-11-23T01:32:38.0364905Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0364966Z     {
2022-11-23T01:32:38.0365031Z         #pragma omp for 
2022-11-23T01:32:38.0365113Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.0365175Z         {
2022-11-23T01:32:38.0365238Z             {
2022-11-23T01:32:38.0365302Z                 {
2022-11-23T01:32:38.0365393Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.0365487Z                     auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:38.0365577Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.0365676Z                     auto tmp3 = static_cast<float>(2);
2022-11-23T01:32:38.0365765Z                     auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.0365851Z                     auto tmp5 = tmp0 + tmp3;
2022-11-23T01:32:38.0365934Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:32:38.0366019Z                     out_ptr1[i0] = tmp5;
2022-11-23T01:32:38.0366072Z                 }
2022-11-23T01:32:38.0366133Z             }
2022-11-23T01:32:38.0366194Z         }
2022-11-23T01:32:38.0366255Z     }
2022-11-23T01:32:38.0366314Z }
2022-11-23T01:32:38.0366391Z ''')
2022-11-23T01:32:38.0366397Z 
2022-11-23T01:32:38.0366401Z 
2022-11-23T01:32:38.0366491Z async_compile.wait(globals())
2022-11-23T01:32:38.0366549Z del async_compile
2022-11-23T01:32:38.0366566Z 
2022-11-23T01:32:38.0366623Z def call(args):
2022-11-23T01:32:38.0366693Z     arg0_1, = args
2022-11-23T01:32:38.0366762Z     args.clear()
2022-11-23T01:32:38.0366963Z     buf0 = empty_strided((2, 2, 2), (4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0367163Z     buf1 = empty_strided((2, 2, 2), (4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0367326Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:38.0367393Z     del arg0_1
2022-11-23T01:32:38.0367459Z     return (buf0, buf1, )
2022-11-23T01:32:38.0367464Z 
2022-11-23T01:32:38.0367468Z 
2022-11-23T01:32:38.0367543Z if __name__ == "__main__":
2022-11-23T01:32:38.0367655Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0367775Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0368001Z     arg0_1 = rand_strided((1, 2, 1, 2, 2, 1, 1), (8, 4, 4, 2, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0368107Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.0368114Z 
2022-11-23T01:32:38.0368180Z ok (2.644s)
2022-11-23T01:32:38.0368487Z   test_squeeze2_cpu (__main__.CpuTests) ... [2022-11-23 01:27:39,924] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0368744Z [2022-11-23 01:27:39,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0368962Z [2022-11-23 01:27:39,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0369213Z [2022-11-23 01:27:39,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0369496Z [2022-11-23 01:27:39,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0369817Z [2022-11-23 01:27:39,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0370175Z [2022-11-23 01:27:39,925] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f647bc00, file "inductor/test_torchinductor.py", line 1275> 
2022-11-23T01:32:38.0370268Z  1276           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.0370360Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:38.0370434Z                4 BINARY_ADD
2022-11-23T01:32:38.0370518Z                6 LOAD_METHOD              0 (squeeze)
2022-11-23T01:32:38.0370681Z                8 LOAD_CONST               2 (-1)
2022-11-23T01:32:38.0370772Z               10 CALL_METHOD              1
2022-11-23T01:32:38.0370868Z               12 LOAD_METHOD              0 (squeeze)
2022-11-23T01:32:38.0370956Z               14 LOAD_CONST               3 (2)
2022-11-23T01:32:38.0371043Z               16 CALL_METHOD              1
2022-11-23T01:32:38.0371132Z               18 LOAD_CONST               3 (2)
2022-11-23T01:32:38.0371193Z               20 BINARY_ADD
2022-11-23T01:32:38.0371280Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:38.0371375Z               24 LOAD_METHOD              0 (squeeze)
2022-11-23T01:32:38.0371462Z               26 LOAD_CONST               4 (0)
2022-11-23T01:32:38.0371550Z               28 CALL_METHOD              1
2022-11-23T01:32:38.0371637Z               30 LOAD_CONST               3 (2)
2022-11-23T01:32:38.0371709Z               32 BINARY_ADD
2022-11-23T01:32:38.0371783Z               34 BUILD_TUPLE              2
2022-11-23T01:32:38.0371885Z               36 RETURN_VALUE
2022-11-23T01:32:38.0371947Z  
2022-11-23T01:32:38.0371951Z 
2022-11-23T01:32:38.0372223Z [2022-11-23 01:27:39,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1276
2022-11-23T01:32:38.0372433Z [2022-11-23 01:27:39,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.0372672Z [2022-11-23 01:27:39,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:38.0372954Z [2022-11-23 01:27:39,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0373197Z [2022-11-23 01:27:39,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable()]
2022-11-23T01:32:38.0373479Z [2022-11-23 01:27:39,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T01:32:38.0373790Z [2022-11-23 01:27:39,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), squeeze), ConstantVariable(int)]
2022-11-23T01:32:38.0374032Z [2022-11-23 01:27:39,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable()]
2022-11-23T01:32:38.0374307Z [2022-11-23 01:27:39,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T01:32:38.0374626Z [2022-11-23 01:27:39,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), squeeze), ConstantVariable(int)]
2022-11-23T01:32:38.0374864Z [2022-11-23 01:27:39,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:38.0375144Z [2022-11-23 01:27:39,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0375379Z [2022-11-23 01:27:39,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:38.0375651Z [2022-11-23 01:27:39,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0375956Z [2022-11-23 01:27:39,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), GetAttrVariable(TensorVariable(), squeeze)]
2022-11-23T01:32:38.0376302Z [2022-11-23 01:27:39,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), squeeze), ConstantVariable(int)]
2022-11-23T01:32:38.0376585Z [2022-11-23 01:27:39,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0376891Z [2022-11-23 01:27:39,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0377155Z [2022-11-23 01:27:39,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0377427Z [2022-11-23 01:27:39,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0377759Z [2022-11-23 01:27:39,943] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f647bc00, file "inductor/test_torchinductor.py", line 1275>
2022-11-23T01:32:38.0378005Z [2022-11-23 01:27:39,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0378241Z [2022-11-23 01:27:39,943] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0378495Z [2022-11-23 01:27:39,945] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0378744Z [2022-11-23 01:27:39,957] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0378930Z [2022-11-23 01:27:39,957] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0379055Z  __compiled_fn_381 <eval_with_key>.2360 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0379142Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0379315Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:38.0379461Z call_method, squeeze, squeeze, (add, -1), {}
2022-11-23T01:32:38.0379569Z call_method, squeeze_1, squeeze, (squeeze, 2), {}
2022-11-23T01:32:38.0379748Z call_function, add_1, <built-in function add>, (squeeze_1, 2), {}
2022-11-23T01:32:38.0379850Z call_method, squeeze_2, squeeze, (ex_0_, 0), {}
2022-11-23T01:32:38.0380019Z call_function, add_2, <built-in function add>, (squeeze_2, 2), {}
2022-11-23T01:32:38.0380121Z output, output, output, ((add_1, add_2),), {}
2022-11-23T01:32:38.0380126Z 
2022-11-23T01:32:38.0380402Z [2022-11-23 01:27:39,958] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0380494Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0380586Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0380677Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0380766Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0380841Z               8 RETURN_VALUE
2022-11-23T01:32:38.0380846Z 
2022-11-23T01:32:38.0380894Z  
2022-11-23T01:32:38.0381166Z [2022-11-23 01:27:39,958] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0381273Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_381)
2022-11-23T01:32:38.0381363Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0381453Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0381528Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0381619Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.0381721Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.0381810Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0381899Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0381974Z              16 BINARY_SUBSCR
2022-11-23T01:32:38.0382076Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0382162Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0382237Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.0382323Z              24 BUILD_TUPLE              2
2022-11-23T01:32:38.0382385Z              26 RETURN_VALUE
2022-11-23T01:32:38.0382390Z 
2022-11-23T01:32:38.0382450Z  
2022-11-23T01:32:38.0382661Z [2022-11-23 01:27:39,960] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0382733Z  - 
2022-11-23T01:32:38.0382850Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0382915Z             {
2022-11-23T01:32:38.0383054Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0383228Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.0383347Z                 'obj_weakref': None
2022-11-23T01:32:38.0383597Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0383662Z             }
2022-11-23T01:32:38.0383726Z             
2022-11-23T01:32:38.0383795Z  - 
2022-11-23T01:32:38.0383918Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0383968Z             {
2022-11-23T01:32:38.0384112Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0384218Z                 'code': None,
2022-11-23T01:32:38.0384423Z                 'obj_weakref': <weakref at 0x7f71069e4290; to 'Tensor' at 0x7f7106f340b0>
2022-11-23T01:32:38.0384759Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0384827Z             }
2022-11-23T01:32:38.0384890Z             
2022-11-23T01:32:38.0384945Z  - 
2022-11-23T01:32:38.0385075Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0385139Z             {
2022-11-23T01:32:38.0385274Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0385442Z                 'code': ['___check_obj_id(model, 140123424010320)'],
2022-11-23T01:32:38.0385560Z                 'obj_weakref': None
2022-11-23T01:32:38.0385785Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0385835Z             }
2022-11-23T01:32:38.0385898Z             
2022-11-23T01:32:38.0385966Z  - 
2022-11-23T01:32:38.0386088Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0386153Z             {
2022-11-23T01:32:38.0386288Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0386503Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0386608Z                 'obj_weakref': None
2022-11-23T01:32:38.0386825Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0386887Z             }
2022-11-23T01:32:38.0386950Z             
2022-11-23T01:32:38.0387212Z [2022-11-23 01:27:39,979] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 373
2022-11-23T01:32:38.0387581Z [2022-11-23 01:27:42,566] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/y4/cy43ndzisa3tdfnuz3hexucz5mzialumqnzohct3hfejodpogf57.py
2022-11-23T01:32:38.0387843Z [2022-11-23 01:27:42,567] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 373
2022-11-23T01:32:38.0387849Z 
2022-11-23T01:32:38.0387943Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0387999Z import torch
2022-11-23T01:32:38.0388068Z import random
2022-11-23T01:32:38.0388182Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0388302Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0388307Z 
2022-11-23T01:32:38.0388384Z aten = torch.ops.aten
2022-11-23T01:32:38.0388517Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0388611Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0388616Z 
2022-11-23T01:32:38.0388620Z 
2022-11-23T01:32:38.0388752Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0388943Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0389060Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.0389160Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.0389255Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:38.0389350Z {
2022-11-23T01:32:38.0389447Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0389508Z     {
2022-11-23T01:32:38.0389572Z         #pragma omp for 
2022-11-23T01:32:38.0389653Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:38.0389715Z         {
2022-11-23T01:32:38.0389868Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.0390000Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:38.0390116Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.0390247Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:38.0390319Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.0390399Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T01:32:38.0390490Z             tmp4.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.0390580Z             tmp5.store(out_ptr1 + 16*i0);
2022-11-23T01:32:38.0390642Z         }
2022-11-23T01:32:38.0390736Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.0390820Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:38.0390870Z         {
2022-11-23T01:32:38.0390951Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.0391048Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:38.0391130Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.0391226Z             auto tmp3 = static_cast<float>(2);
2022-11-23T01:32:38.0391308Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.0391390Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T01:32:38.0391457Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:38.0391534Z             out_ptr1[i0] = tmp5;
2022-11-23T01:32:38.0391595Z         }
2022-11-23T01:32:38.0391654Z     }
2022-11-23T01:32:38.0391713Z }
2022-11-23T01:32:38.0391789Z ''')
2022-11-23T01:32:38.0391795Z 
2022-11-23T01:32:38.0391799Z 
2022-11-23T01:32:38.0391886Z async_compile.wait(globals())
2022-11-23T01:32:38.0391946Z del async_compile
2022-11-23T01:32:38.0391963Z 
2022-11-23T01:32:38.0392022Z def call(args):
2022-11-23T01:32:38.0392090Z     arg0_1, = args
2022-11-23T01:32:38.0392159Z     args.clear()
2022-11-23T01:32:38.0392374Z     buf0 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0392597Z     buf1 = empty_strided((2, 1, 2, 2, 2, 1), (8, 16, 4, 2, 1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0392762Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:38.0392829Z     del arg0_1
2022-11-23T01:32:38.0392893Z     return (buf0, buf1, )
2022-11-23T01:32:38.0392898Z 
2022-11-23T01:32:38.0392902Z 
2022-11-23T01:32:38.0392976Z if __name__ == "__main__":
2022-11-23T01:32:38.0393088Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0393209Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0393439Z     arg0_1 = rand_strided((1, 2, 1, 2, 2, 2, 1), (16, 8, 8, 4, 2, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0393546Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.0393552Z 
2022-11-23T01:32:38.0393618Z ok (2.657s)
2022-11-23T01:32:38.0393918Z   test_stack_cpu (__main__.CpuTests) ... [2022-11-23 01:27:42,582] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0394175Z [2022-11-23 01:27:42,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0394393Z [2022-11-23 01:27:42,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0394643Z [2022-11-23 01:27:42,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0394929Z [2022-11-23 01:27:42,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0395249Z [2022-11-23 01:27:42,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0395605Z [2022-11-23 01:27:42,583] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f641e390, file "inductor/test_torchinductor.py", line 2599> 
2022-11-23T01:32:38.0395702Z  2600           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0395794Z                2 LOAD_METHOD              1 (stack)
2022-11-23T01:32:38.0395799Z 
2022-11-23T01:32:38.0395930Z 2602           4 LOAD_FAST                0 (a)
2022-11-23T01:32:38.0396014Z                6 LOAD_METHOD              2 (expand)
2022-11-23T01:32:38.0396104Z                8 LOAD_CONST               1 (12)
2022-11-23T01:32:38.0396193Z               10 LOAD_CONST               2 (16)
2022-11-23T01:32:38.0396280Z               12 CALL_METHOD              2
2022-11-23T01:32:38.0396285Z 
2022-11-23T01:32:38.0396372Z 2603          14 LOAD_FAST                1 (b)
2022-11-23T01:32:38.0396465Z               16 LOAD_METHOD              2 (expand)
2022-11-23T01:32:38.0396558Z               18 LOAD_CONST               1 (12)
2022-11-23T01:32:38.0396646Z               20 LOAD_CONST               2 (16)
2022-11-23T01:32:38.0396720Z               22 CALL_METHOD              2
2022-11-23T01:32:38.0396805Z               24 BUILD_LIST               2
2022-11-23T01:32:38.0396810Z 
2022-11-23T01:32:38.0396896Z 2605          26 LOAD_CONST               3 (2)
2022-11-23T01:32:38.0396981Z               28 CALL_METHOD              2
2022-11-23T01:32:38.0397058Z               30 RETURN_VALUE
2022-11-23T01:32:38.0397239Z  
2022-11-23T01:32:38.0397244Z 
2022-11-23T01:32:38.0397517Z [2022-11-23 01:27:42,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2600
2022-11-23T01:32:38.0397737Z [2022-11-23 01:27:42,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.0398092Z [2022-11-23 01:27:42,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR stack [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0398360Z [2022-11-23 01:27:42,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2602
2022-11-23T01:32:38.0398679Z [2022-11-23 01:27:42,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method stack of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.0399038Z [2022-11-23 01:27:42,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TorchVariable(<built-in method stack of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.0399428Z [2022-11-23 01:27:42,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TorchVariable(<built-in method stack of type object at 0x7f71f2abebc0>), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:38.0399856Z [2022-11-23 01:27:42,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TorchVariable(<built-in method stack of type object at 0x7f71f2abebc0>), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:32:38.0400329Z [2022-11-23 01:27:42,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method stack of type object at 0x7f71f2abebc0>), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.0400595Z [2022-11-23 01:27:42,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2603
2022-11-23T01:32:38.0400944Z [2022-11-23 01:27:42,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method stack of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.0401330Z [2022-11-23 01:27:42,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TorchVariable(<built-in method stack of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0401749Z [2022-11-23 01:27:42,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TorchVariable(<built-in method stack of type object at 0x7f71f2abebc0>), TensorVariable(), GetAttrVariable(TensorVariable(), expand)]
2022-11-23T01:32:38.0402255Z [2022-11-23 01:27:42,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TorchVariable(<built-in method stack of type object at 0x7f71f2abebc0>), TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)]
2022-11-23T01:32:38.0402785Z [2022-11-23 01:27:42,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method stack of type object at 0x7f71f2abebc0>), TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.0403164Z [2022-11-23 01:27:42,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(<built-in method stack of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0403433Z [2022-11-23 01:27:42,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2605
2022-11-23T01:32:38.0403764Z [2022-11-23 01:27:42,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method stack of type object at 0x7f71f2abebc0>), ListVariable()]
2022-11-23T01:32:38.0404151Z [2022-11-23 01:27:42,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method stack of type object at 0x7f71f2abebc0>), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0404398Z [2022-11-23 01:27:42,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.0404728Z [2022-11-23 01:27:42,597] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f641e390, file "inductor/test_torchinductor.py", line 2599>
2022-11-23T01:32:38.0404972Z [2022-11-23 01:27:42,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.0405205Z [2022-11-23 01:27:42,598] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0405458Z [2022-11-23 01:27:42,600] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0405712Z [2022-11-23 01:27:42,608] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0405897Z [2022-11-23 01:27:42,609] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0406034Z  __compiled_fn_382 <eval_with_key>.2366 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0406110Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0406196Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.0406302Z call_method, expand, expand, (ex_0_, 12, 16), {}
2022-11-23T01:32:38.0406407Z call_method, expand_1, expand, (ex_1_, 12, 16), {}
2022-11-23T01:32:38.0406663Z call_function, stack, <built-in method stack of type object at 0x7f71f2abebc0>, ([expand, expand_1], 2), {}
2022-11-23T01:32:38.0406760Z output, output, output, ((stack,),), {}
2022-11-23T01:32:38.0406767Z 
2022-11-23T01:32:38.0407046Z [2022-11-23 01:27:42,609] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0407126Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0407215Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0407307Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0407398Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0407474Z               8 RETURN_VALUE
2022-11-23T01:32:38.0407479Z 
2022-11-23T01:32:38.0407542Z  
2022-11-23T01:32:38.0407814Z [2022-11-23 01:27:42,610] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0407920Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_382)
2022-11-23T01:32:38.0407997Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0408086Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0408193Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0408279Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0408366Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0408443Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.0408531Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.0408610Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:38.0408683Z              18 RETURN_VALUE
2022-11-23T01:32:38.0408720Z 
2022-11-23T01:32:38.0408782Z  
2022-11-23T01:32:38.0408963Z [2022-11-23 01:27:42,611] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0409032Z  - 
2022-11-23T01:32:38.0409150Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0409213Z             {
2022-11-23T01:32:38.0409341Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0409524Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.0409643Z                 'obj_weakref': None
2022-11-23T01:32:38.0409868Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0409932Z             }
2022-11-23T01:32:38.0409997Z             
2022-11-23T01:32:38.0410064Z  - 
2022-11-23T01:32:38.0410174Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0410236Z             {
2022-11-23T01:32:38.0410376Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0410483Z                 'code': None,
2022-11-23T01:32:38.0410689Z                 'obj_weakref': <weakref at 0x7f710692def0; to 'Tensor' at 0x7f7193244230>
2022-11-23T01:32:38.0410937Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0411001Z             }
2022-11-23T01:32:38.0411051Z             
2022-11-23T01:32:38.0411118Z  - 
2022-11-23T01:32:38.0411240Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.0411302Z             {
2022-11-23T01:32:38.0411445Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0411548Z                 'code': None,
2022-11-23T01:32:38.0411754Z                 'obj_weakref': <weakref at 0x7f7106d186b0; to 'Tensor' at 0x7f71060e4890>
2022-11-23T01:32:38.0411988Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0412049Z             }
2022-11-23T01:32:38.0412112Z             
2022-11-23T01:32:38.0412179Z  - 
2022-11-23T01:32:38.0412310Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0412373Z             {
2022-11-23T01:32:38.0412508Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0412664Z                 'code': ['___check_obj_id(model, 140123421743008)'],
2022-11-23T01:32:38.0412780Z                 'obj_weakref': None
2022-11-23T01:32:38.0413005Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0413067Z             }
2022-11-23T01:32:38.0413132Z             
2022-11-23T01:32:38.0413200Z  - 
2022-11-23T01:32:38.0413320Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0413370Z             {
2022-11-23T01:32:38.0413504Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0413719Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0413836Z                 'obj_weakref': None
2022-11-23T01:32:38.0414055Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0414119Z             }
2022-11-23T01:32:38.0414181Z             
2022-11-23T01:32:38.0414237Z  - 
2022-11-23T01:32:38.0414368Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.0414430Z             {
2022-11-23T01:32:38.0414549Z                 'guard_types': None,
2022-11-23T01:32:38.0414653Z                 'code': None,
2022-11-23T01:32:38.0414769Z                 'obj_weakref': None
2022-11-23T01:32:38.0414955Z                 'guarded_class': None
2022-11-23T01:32:38.0415005Z             }
2022-11-23T01:32:38.0415067Z             
2022-11-23T01:32:38.0415326Z [2022-11-23 01:27:42,630] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 374
2022-11-23T01:32:38.0415697Z [2022-11-23 01:27:45,336] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nj/cnj6f4l4fxgcqsykiwtxmfqgboanarslkhdgnaqkgki4jkdjthea.py
2022-11-23T01:32:38.0415986Z [2022-11-23 01:27:45,336] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 374
2022-11-23T01:32:38.0415992Z 
2022-11-23T01:32:38.0416086Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0416155Z import torch
2022-11-23T01:32:38.0416224Z import random
2022-11-23T01:32:38.0416325Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0416447Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0416452Z 
2022-11-23T01:32:38.0416529Z aten = torch.ops.aten
2022-11-23T01:32:38.0416667Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0416758Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0416763Z 
2022-11-23T01:32:38.0416767Z 
2022-11-23T01:32:38.0416900Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0417103Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0417226Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.0417319Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.0417417Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.0417513Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:38.0417572Z {
2022-11-23T01:32:38.0417669Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0417730Z     {
2022-11-23T01:32:38.0417807Z         #pragma omp for 
2022-11-23T01:32:38.0417877Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:38.0417942Z         {
2022-11-23T01:32:38.0418024Z             #pragma GCC ivdep
2022-11-23T01:32:38.0418109Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T01:32:38.0418172Z             {
2022-11-23T01:32:38.0418235Z                 {
2022-11-23T01:32:38.0418302Z                     {
2022-11-23T01:32:38.0418384Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:38.0418483Z                         out_ptr0[(2*i1) + (32*i0)] = tmp0;
2022-11-23T01:32:38.0418549Z                     }
2022-11-23T01:32:38.0418615Z                 }
2022-11-23T01:32:38.0418678Z             }
2022-11-23T01:32:38.0418739Z         }
2022-11-23T01:32:38.0418803Z         #pragma omp for 
2022-11-23T01:32:38.0418883Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:38.0418944Z         {
2022-11-23T01:32:38.0419022Z             #pragma GCC ivdep
2022-11-23T01:32:38.0419104Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T01:32:38.0419168Z             {
2022-11-23T01:32:38.0419231Z                 {
2022-11-23T01:32:38.0419287Z                     {
2022-11-23T01:32:38.0419379Z                         auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:38.0419476Z                         out_ptr1[(2*i1) + (32*i0)] = tmp0;
2022-11-23T01:32:38.0419541Z                     }
2022-11-23T01:32:38.0419605Z                 }
2022-11-23T01:32:38.0419666Z             }
2022-11-23T01:32:38.0419728Z         }
2022-11-23T01:32:38.0419776Z     }
2022-11-23T01:32:38.0419833Z }
2022-11-23T01:32:38.0419911Z ''')
2022-11-23T01:32:38.0419918Z 
2022-11-23T01:32:38.0419923Z 
2022-11-23T01:32:38.0420011Z async_compile.wait(globals())
2022-11-23T01:32:38.0420082Z del async_compile
2022-11-23T01:32:38.0420087Z 
2022-11-23T01:32:38.0420155Z def call(args):
2022-11-23T01:32:38.0420229Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.0420287Z     args.clear()
2022-11-23T01:32:38.0420493Z     buf2 = empty_strided((12, 16, 2), (32, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0420596Z     buf0 = as_strided(buf2, (12, 16, 1), (32, 2, 1))  # alias
2022-11-23T01:32:38.0420731Z     buf1 = as_strided(buf2, (12, 16, 1), (32, 2, 1), 1)  # alias
2022-11-23T01:32:38.0420920Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:38.0420988Z     del arg0_1
2022-11-23T01:32:38.0421053Z     del arg1_1
2022-11-23T01:32:38.0421113Z     return (buf2, )
2022-11-23T01:32:38.0421132Z 
2022-11-23T01:32:38.0421136Z 
2022-11-23T01:32:38.0421227Z if __name__ == "__main__":
2022-11-23T01:32:38.0421341Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0421463Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0421662Z     arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0421857Z     arg1_1 = rand_strided((12, 1), (1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0421969Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.0421975Z 
2022-11-23T01:32:38.0422042Z ok (2.768s)
2022-11-23T01:32:38.0422340Z   test_std_cpu (__main__.CpuTests) ... [2022-11-23 01:27:45,352] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0422596Z [2022-11-23 01:27:45,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0422812Z [2022-11-23 01:27:45,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0423065Z [2022-11-23 01:27:45,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0423350Z [2022-11-23 01:27:45,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0423673Z [2022-11-23 01:27:45,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0423994Z [2022-11-23 01:27:45,353] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6415390, file "inductor/test_torchinductor.py", line 2285> 
2022-11-23T01:32:38.0424092Z  2287           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0424186Z                2 LOAD_METHOD              1 (var)
2022-11-23T01:32:38.0424278Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0424358Z                6 LOAD_CONST               1 (True)
2022-11-23T01:32:38.0424520Z                8 CALL_METHOD              2
2022-11-23T01:32:38.0424532Z 
2022-11-23T01:32:38.0424632Z 2288          10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0424723Z               12 LOAD_METHOD              1 (var)
2022-11-23T01:32:38.0424812Z               14 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0424903Z               16 LOAD_CONST               2 (False)
2022-11-23T01:32:38.0424993Z               18 CALL_METHOD              2
2022-11-23T01:32:38.0424997Z 
2022-11-23T01:32:38.0425088Z 2289          20 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0425167Z               22 LOAD_METHOD              1 (var)
2022-11-23T01:32:38.0425254Z               24 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0425392Z               26 LOAD_CONST               3 (-1)
2022-11-23T01:32:38.0425484Z               28 LOAD_CONST               1 (True)
2022-11-23T01:32:38.0425570Z               30 CALL_METHOD              3
2022-11-23T01:32:38.0425574Z 
2022-11-23T01:32:38.0425666Z 2290          32 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0425760Z               34 LOAD_METHOD              1 (var)
2022-11-23T01:32:38.0425836Z               36 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0425972Z               38 LOAD_CONST               3 (-1)
2022-11-23T01:32:38.0426064Z               40 LOAD_CONST               2 (False)
2022-11-23T01:32:38.0426151Z               42 CALL_METHOD              3
2022-11-23T01:32:38.0426156Z 
2022-11-23T01:32:38.0426247Z 2291          44 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0426374Z               46 LOAD_METHOD              2 (std)
2022-11-23T01:32:38.0426461Z               48 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0426549Z               50 LOAD_CONST               2 (False)
2022-11-23T01:32:38.0426622Z               52 CALL_METHOD              2
2022-11-23T01:32:38.0426627Z 
2022-11-23T01:32:38.0426715Z 2292          54 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0426806Z               56 LOAD_METHOD              2 (std)
2022-11-23T01:32:38.0426921Z               58 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0427011Z               60 LOAD_CONST               4 (0)
2022-11-23T01:32:38.0427097Z               62 LOAD_CONST               5 (1)
2022-11-23T01:32:38.0427184Z               64 BUILD_LIST               2
2022-11-23T01:32:38.0427262Z               66 LOAD_CONST               1 (True)
2022-11-23T01:32:38.0427346Z               68 CALL_METHOD              3
2022-11-23T01:32:38.0427351Z 
2022-11-23T01:32:38.0427441Z 2293          70 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0427534Z               72 LOAD_METHOD              2 (std)
2022-11-23T01:32:38.0427621Z               74 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0427709Z               76 LOAD_CONST               4 (0)
2022-11-23T01:32:38.0427796Z               78 LOAD_CONST               5 (1)
2022-11-23T01:32:38.0427881Z               80 BUILD_LIST               2
2022-11-23T01:32:38.0427958Z               82 LOAD_CONST               2 (False)
2022-11-23T01:32:38.0428044Z               84 CALL_METHOD              3
2022-11-23T01:32:38.0428049Z 
2022-11-23T01:32:38.0428137Z 2294          86 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0428224Z               88 LOAD_ATTR                2 (std)
2022-11-23T01:32:38.0428312Z               90 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0428448Z               92 LOAD_CONST               6 (-2)
2022-11-23T01:32:38.0428538Z               94 LOAD_CONST               1 (True)
2022-11-23T01:32:38.0428613Z               96 LOAD_CONST               1 (True)
2022-11-23T01:32:38.0428767Z               98 LOAD_CONST               7 (('keepdim',))
2022-11-23T01:32:38.0428856Z              100 CALL_FUNCTION_KW         4
2022-11-23T01:32:38.0428942Z              102 BUILD_TUPLE              8
2022-11-23T01:32:38.0429017Z              104 RETURN_VALUE
2022-11-23T01:32:38.0429079Z  
2022-11-23T01:32:38.0429084Z 
2022-11-23T01:32:38.0429356Z [2022-11-23 01:27:45,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2287
2022-11-23T01:32:38.0429577Z [2022-11-23 01:27:45,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.0429926Z [2022-11-23 01:27:45,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0430241Z [2022-11-23 01:27:45,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method var of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.0430591Z [2022-11-23 01:27:45,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<built-in method var of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.0430977Z [2022-11-23 01:27:45,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method var of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:38.0431246Z [2022-11-23 01:27:45,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2288
2022-11-23T01:32:38.0431489Z [2022-11-23 01:27:45,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:38.0431875Z [2022-11-23 01:27:45,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0432245Z [2022-11-23 01:27:45,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.0432624Z [2022-11-23 01:27:45,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.0433066Z [2022-11-23 01:27:45,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:38.0433331Z [2022-11-23 01:27:45,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2289
2022-11-23T01:32:38.0433604Z [2022-11-23 01:27:45,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0434010Z [2022-11-23 01:27:45,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0434383Z [2022-11-23 01:27:45,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.0434790Z [2022-11-23 01:27:45,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.0435233Z [2022-11-23 01:27:45,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0435720Z [2022-11-23 01:27:45,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:38.0435987Z [2022-11-23 01:27:45,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2290
2022-11-23T01:32:38.0436289Z [2022-11-23 01:27:45,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0436737Z [2022-11-23 01:27:45,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0437254Z [2022-11-23 01:27:45,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.0437775Z [2022-11-23 01:27:45,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.0438251Z [2022-11-23 01:27:45,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0438769Z [2022-11-23 01:27:45,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method var of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:38.0439035Z [2022-11-23 01:27:45,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2291
2022-11-23T01:32:38.0439364Z [2022-11-23 01:27:45,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0439898Z [2022-11-23 01:27:45,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0440374Z [2022-11-23 01:27:45,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.0440847Z [2022-11-23 01:27:45,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.0441354Z [2022-11-23 01:27:45,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(bool)]
2022-11-23T01:32:38.0441611Z [2022-11-23 01:27:45,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2292
2022-11-23T01:32:38.0441966Z [2022-11-23 01:27:45,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0442469Z [2022-11-23 01:27:45,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0442931Z [2022-11-23 01:27:45,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.0443423Z [2022-11-23 01:27:45,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.0443948Z [2022-11-23 01:27:45,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0444506Z [2022-11-23 01:27:45,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.0445025Z [2022-11-23 01:27:45,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f71f2abebc0>), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.0445578Z [2022-11-23 01:27:45,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f71f2abebc0>), TensorVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:38.0445843Z [2022-11-23 01:27:45,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2293
2022-11-23T01:32:38.0446223Z [2022-11-23 01:27:45,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0446785Z [2022-11-23 01:27:45,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0447294Z [2022-11-23 01:27:45,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.0447813Z [2022-11-23 01:27:45,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.0448363Z [2022-11-23 01:27:45,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0448956Z [2022-11-23 01:27:45,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.0449500Z [2022-11-23 01:27:45,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f71f2abebc0>), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.0450080Z [2022-11-23 01:27:45,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f71f2abebc0>), TensorVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:38.0450343Z [2022-11-23 01:27:45,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2294
2022-11-23T01:32:38.0450756Z [2022-11-23 01:27:45,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0451316Z [2022-11-23 01:27:45,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0451827Z [2022-11-23 01:27:45,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.0452372Z [2022-11-23 01:27:45,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.0452955Z [2022-11-23 01:27:45,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0453605Z [2022-11-23 01:27:45,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:38.0454304Z [2022-11-23 01:27:45,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool)]
2022-11-23T01:32:38.0455019Z [2022-11-23 01:27:45,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method std of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:38.0455458Z [2022-11-23 01:27:45,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 8 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0455704Z [2022-11-23 01:27:45,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0456032Z [2022-11-23 01:27:45,397] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6415390, file "inductor/test_torchinductor.py", line 2285>
2022-11-23T01:32:38.0456303Z [2022-11-23 01:27:45,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0456535Z [2022-11-23 01:27:45,397] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0456787Z [2022-11-23 01:27:45,401] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0457034Z [2022-11-23 01:27:45,422] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0457220Z [2022-11-23 01:27:45,423] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0457356Z  __compiled_fn_383 <eval_with_key>.2372 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0457444Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0457671Z call_function, var, <built-in method var of type object at 0x7f71f2abebc0>, (ex_0_, True), {}
2022-11-23T01:32:38.0457904Z call_function, var_1, <built-in method var of type object at 0x7f71f2abebc0>, (ex_0_, False), {}
2022-11-23T01:32:38.0458123Z call_function, var_2, <built-in method var of type object at 0x7f71f2abebc0>, (ex_0_, -1, True), {}
2022-11-23T01:32:38.0458357Z call_function, var_3, <built-in method var of type object at 0x7f71f2abebc0>, (ex_0_, -1, False), {}
2022-11-23T01:32:38.0458584Z call_function, std, <built-in method std of type object at 0x7f71f2abebc0>, (ex_0_, False), {}
2022-11-23T01:32:38.0458819Z call_function, std_1, <built-in method std of type object at 0x7f71f2abebc0>, (ex_0_, [0, 1], True), {}
2022-11-23T01:32:38.0459053Z call_function, std_2, <built-in method std of type object at 0x7f71f2abebc0>, (ex_0_, [0, 1], False), {}
2022-11-23T01:32:38.0459311Z call_function, std_3, <built-in method std of type object at 0x7f71f2abebc0>, (ex_0_, -2, True), {'keepdim': True}
2022-11-23T01:32:38.0459448Z output, output, output, ((var, var_1, var_2, var_3, std, std_1, std_2, std_3),), {}
2022-11-23T01:32:38.0459454Z 
2022-11-23T01:32:38.0459732Z [2022-11-23 01:27:45,424] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0459826Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0459937Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0460029Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0460120Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0460195Z               8 RETURN_VALUE
2022-11-23T01:32:38.0460201Z 
2022-11-23T01:32:38.0460262Z  
2022-11-23T01:32:38.0460534Z [2022-11-23 01:27:45,424] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0460670Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_383)
2022-11-23T01:32:38.0460748Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0460837Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0460912Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0460999Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.0461102Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.0461203Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0461293Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0461356Z              16 BINARY_SUBSCR
2022-11-23T01:32:38.0461454Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0461541Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0461615Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.0461713Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0461801Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:38.0461876Z              28 BINARY_SUBSCR
2022-11-23T01:32:38.0461975Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0462050Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:38.0462123Z              34 BINARY_SUBSCR
2022-11-23T01:32:38.0462220Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0462307Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:38.0462382Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.0462482Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0462567Z              44 LOAD_CONST               6 (5)
2022-11-23T01:32:38.0462629Z              46 BINARY_SUBSCR
2022-11-23T01:32:38.0462730Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0462817Z              50 LOAD_CONST               7 (6)
2022-11-23T01:32:38.0462892Z              52 BINARY_SUBSCR
2022-11-23T01:32:38.0462993Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0463077Z              56 LOAD_CONST               8 (7)
2022-11-23T01:32:38.0463151Z              58 BINARY_SUBSCR
2022-11-23T01:32:38.0463226Z              60 BUILD_TUPLE              8
2022-11-23T01:32:38.0463299Z              62 RETURN_VALUE
2022-11-23T01:32:38.0463304Z 
2022-11-23T01:32:38.0463362Z  
2022-11-23T01:32:38.0463547Z [2022-11-23 01:27:45,426] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0463619Z  - 
2022-11-23T01:32:38.0463736Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0463800Z             {
2022-11-23T01:32:38.0463928Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0464110Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.0464229Z                 'obj_weakref': None
2022-11-23T01:32:38.0464527Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0464595Z             }
2022-11-23T01:32:38.0464658Z             
2022-11-23T01:32:38.0464729Z  - 
2022-11-23T01:32:38.0464842Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0464905Z             {
2022-11-23T01:32:38.0465048Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0465156Z                 'code': None,
2022-11-23T01:32:38.0465365Z                 'obj_weakref': <weakref at 0x7f7106dd0350; to 'Tensor' at 0x7f7106df6f50>
2022-11-23T01:32:38.0465615Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0465714Z             }
2022-11-23T01:32:38.0465765Z             
2022-11-23T01:32:38.0465835Z  - 
2022-11-23T01:32:38.0465966Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0466029Z             {
2022-11-23T01:32:38.0466160Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0466329Z                 'code': ['___check_obj_id(model, 140123411207808)'],
2022-11-23T01:32:38.0466474Z                 'obj_weakref': None
2022-11-23T01:32:38.0466691Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0466753Z             }
2022-11-23T01:32:38.0466814Z             
2022-11-23T01:32:38.0466882Z  - 
2022-11-23T01:32:38.0467001Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0467064Z             {
2022-11-23T01:32:38.0467199Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0467403Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0467518Z                 'obj_weakref': None
2022-11-23T01:32:38.0467735Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0467798Z             }
2022-11-23T01:32:38.0467862Z             
2022-11-23T01:32:38.0467928Z  - 
2022-11-23T01:32:38.0468062Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.0468115Z             {
2022-11-23T01:32:38.0468234Z                 'guard_types': None,
2022-11-23T01:32:38.0468339Z                 'code': None,
2022-11-23T01:32:38.0468454Z                 'obj_weakref': None
2022-11-23T01:32:38.0468574Z                 'guarded_class': None
2022-11-23T01:32:38.0468636Z             }
2022-11-23T01:32:38.0468698Z             
2022-11-23T01:32:38.0468944Z [2022-11-23 01:27:45,456] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 375
2022-11-23T01:32:38.0468952Z 
2022-11-23T01:32:38.0469047Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0469114Z import torch
2022-11-23T01:32:38.0469183Z import random
2022-11-23T01:32:38.0469298Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0469418Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0469423Z 
2022-11-23T01:32:38.0469500Z aten = torch.ops.aten
2022-11-23T01:32:38.0469620Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0469713Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0469718Z 
2022-11-23T01:32:38.0469723Z 
2022-11-23T01:32:38.0469855Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0470058Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0470174Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:38.0470273Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:32:38.0470372Z                        float* __restrict__ in_out_ptr2,
2022-11-23T01:32:38.0470472Z                        float* __restrict__ in_out_ptr3,
2022-11-23T01:32:38.0470558Z                        float* __restrict__ in_out_ptr4,
2022-11-23T01:32:38.0470654Z                        float* __restrict__ in_out_ptr5,
2022-11-23T01:32:38.0470751Z                        float* __restrict__ in_out_ptr6,
2022-11-23T01:32:38.0470854Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.0470954Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.0471048Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:38.0471139Z                        float* __restrict__ out_ptr4,
2022-11-23T01:32:38.0471231Z                        float* __restrict__ out_ptr5,
2022-11-23T01:32:38.0471310Z                        float* __restrict__ out_ptr7,
2022-11-23T01:32:38.0471407Z                        float* __restrict__ out_ptr10,
2022-11-23T01:32:38.0471510Z                        float* __restrict__ out_ptr12,
2022-11-23T01:32:38.0471641Z                        float* __restrict__ out_ptr14)
2022-11-23T01:32:38.0471702Z {
2022-11-23T01:32:38.0471786Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:32:38.0471869Z     auto out_ptr3 = in_out_ptr1;
2022-11-23T01:32:38.0471937Z     auto out_ptr6 = in_out_ptr2;
2022-11-23T01:32:38.0472018Z     auto out_ptr8 = in_out_ptr3;
2022-11-23T01:32:38.0472097Z     auto out_ptr9 = in_out_ptr4;
2022-11-23T01:32:38.0472210Z     auto out_ptr11 = in_out_ptr5;
2022-11-23T01:32:38.0472294Z     auto out_ptr13 = in_out_ptr6;
2022-11-23T01:32:38.0472355Z     {
2022-11-23T01:32:38.0472557Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:38.0472619Z         float tmp1 = 0;
2022-11-23T01:32:38.0472735Z         auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:32:38.0472839Z         #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0472903Z         {
2022-11-23T01:32:38.0473012Z             #pragma omp for reduction(+:tmp1_vec) 
2022-11-23T01:32:38.0473099Z             for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:38.0473163Z             {
2022-11-23T01:32:38.0473283Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.0473362Z                 tmp1_vec += tmp0;
2022-11-23T01:32:38.0473425Z             }
2022-11-23T01:32:38.0473621Z             tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T01:32:38.0473741Z             #pragma omp for simd simdlen(8) reduction(+:tmp1) 
2022-11-23T01:32:38.0473829Z             for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:38.0473891Z             {
2022-11-23T01:32:38.0473979Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.0474040Z                 tmp1 += tmp0;
2022-11-23T01:32:38.0474102Z             }
2022-11-23T01:32:38.0474165Z         }
2022-11-23T01:32:38.0474240Z         out_ptr0[0] = tmp1;
2022-11-23T01:32:38.0474304Z     }
2022-11-23T01:32:38.0474364Z     {
2022-11-23T01:32:38.0474546Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:38.0474607Z         float tmp6 = 0;
2022-11-23T01:32:38.0474722Z         auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:32:38.0474796Z         float tmp7 = 0;
2022-11-23T01:32:38.0474911Z         auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T01:32:38.0475016Z         #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0475081Z         {
2022-11-23T01:32:38.0475212Z             #pragma omp for reduction(+:tmp6_vec) reduction(+:tmp7_vec) 
2022-11-23T01:32:38.0475285Z             for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:38.0475347Z             {
2022-11-23T01:32:38.0475477Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.0475600Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr0[0]);
2022-11-23T01:32:38.0475737Z                 auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(256));
2022-11-23T01:32:38.0475824Z                 auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:38.0475955Z                 auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:38.0476046Z                 auto tmp5 = tmp4.pow(2);
2022-11-23T01:32:38.0476112Z                 tmp6_vec += tmp5;
2022-11-23T01:32:38.0476189Z                 tmp7_vec += tmp0;
2022-11-23T01:32:38.0476252Z             }
2022-11-23T01:32:38.0476448Z             tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:32:38.0476638Z             tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2022-11-23T01:32:38.0476778Z             #pragma omp for simd simdlen(8) reduction(+:tmp6) reduction(+:tmp7) 
2022-11-23T01:32:38.0476867Z             for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:38.0476959Z             {
2022-11-23T01:32:38.0477032Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.0477337Z                 auto tmp1 = out_ptr0[0];
2022-11-23T01:32:38.0477442Z                 auto tmp2 = static_cast<float>(256);
2022-11-23T01:32:38.0477527Z                 auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:38.0477660Z                 auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:38.0477745Z                 auto tmp5 = tmp4 * tmp4;
2022-11-23T01:32:38.0477871Z                 tmp6 += tmp5;
2022-11-23T01:32:38.0477934Z                 tmp7 += tmp0;
2022-11-23T01:32:38.0477996Z             }
2022-11-23T01:32:38.0478059Z         }
2022-11-23T01:32:38.0478136Z         out_ptr1[0] = tmp6;
2022-11-23T01:32:38.0478213Z         out_ptr2[0] = tmp7;
2022-11-23T01:32:38.0478275Z     }
2022-11-23T01:32:38.0478323Z     {
2022-11-23T01:32:38.0478511Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:38.0478589Z         float tmp6 = 0;
2022-11-23T01:32:38.0478708Z         auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:32:38.0478784Z         float tmp7 = 0;
2022-11-23T01:32:38.0478898Z         auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T01:32:38.0479000Z         #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0479064Z         {
2022-11-23T01:32:38.0479184Z             #pragma omp for reduction(+:tmp6_vec) reduction(+:tmp7_vec) 
2022-11-23T01:32:38.0479270Z             for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:38.0479334Z             {
2022-11-23T01:32:38.0479465Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.0479587Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr2[0]);
2022-11-23T01:32:38.0479720Z                 auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(256));
2022-11-23T01:32:38.0479805Z                 auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:38.0479933Z                 auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:38.0480011Z                 auto tmp5 = tmp4.pow(2);
2022-11-23T01:32:38.0480091Z                 tmp6_vec += tmp5;
2022-11-23T01:32:38.0480169Z                 tmp7_vec += tmp0;
2022-11-23T01:32:38.0480230Z             }
2022-11-23T01:32:38.0480421Z             tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:32:38.0480613Z             tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2022-11-23T01:32:38.0480752Z             #pragma omp for simd simdlen(8) reduction(+:tmp6) reduction(+:tmp7) 
2022-11-23T01:32:38.0480843Z             for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:38.0480895Z             {
2022-11-23T01:32:38.0480980Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.0481065Z                 auto tmp1 = out_ptr2[0];
2022-11-23T01:32:38.0481170Z                 auto tmp2 = static_cast<float>(256);
2022-11-23T01:32:38.0481257Z                 auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:38.0481386Z                 auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:38.0481468Z                 auto tmp5 = tmp4 * tmp4;
2022-11-23T01:32:38.0481530Z                 tmp6 += tmp5;
2022-11-23T01:32:38.0481601Z                 tmp7 += tmp0;
2022-11-23T01:32:38.0481663Z             }
2022-11-23T01:32:38.0481725Z         }
2022-11-23T01:32:38.0481800Z         out_ptr3[0] = tmp6;
2022-11-23T01:32:38.0481875Z         out_ptr4[0] = tmp7;
2022-11-23T01:32:38.0481925Z     }
2022-11-23T01:32:38.0482021Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0482080Z     {
2022-11-23T01:32:38.0482155Z         #pragma omp for 
2022-11-23T01:32:38.0482235Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:38.0482296Z         {
2022-11-23T01:32:38.0482358Z             {
2022-11-23T01:32:38.0482409Z                 {
2022-11-23T01:32:38.0482489Z                     float tmp1 = 0;
2022-11-23T01:32:38.0482618Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:38.0482683Z                     {
2022-11-23T01:32:38.0482751Z                         {
2022-11-23T01:32:38.0482855Z                             auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:38.0482936Z                             tmp1 += tmp0;
2022-11-23T01:32:38.0482990Z                         }
2022-11-23T01:32:38.0483055Z                     }
2022-11-23T01:32:38.0483137Z                     out_ptr5[i0] = tmp1;
2022-11-23T01:32:38.0483244Z                 }
2022-11-23T01:32:38.0483306Z             }
2022-11-23T01:32:38.0483367Z         }
2022-11-23T01:32:38.0483442Z         #pragma omp for 
2022-11-23T01:32:38.0483510Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:38.0483572Z         {
2022-11-23T01:32:38.0483633Z             {
2022-11-23T01:32:38.0483696Z                 {
2022-11-23T01:32:38.0483774Z                     float tmp6 = 0;
2022-11-23T01:32:38.0483852Z                     float tmp7 = 0;
2022-11-23T01:32:38.0483932Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:38.0483997Z                     {
2022-11-23T01:32:38.0484063Z                         {
2022-11-23T01:32:38.0484165Z                             auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:38.0484261Z                             auto tmp1 = out_ptr5[i0];
2022-11-23T01:32:38.0484366Z                             auto tmp2 = static_cast<float>(8);
2022-11-23T01:32:38.0484463Z                             auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:38.0484593Z                             auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:38.0484684Z                             auto tmp5 = tmp4 * tmp4;
2022-11-23T01:32:38.0484765Z                             tmp6 += tmp5;
2022-11-23T01:32:38.0484848Z                             tmp7 += tmp0;
2022-11-23T01:32:38.0484916Z                         }
2022-11-23T01:32:38.0484983Z                     }
2022-11-23T01:32:38.0485066Z                     out_ptr6[i0] = tmp6;
2022-11-23T01:32:38.0485137Z                     out_ptr7[i0] = tmp7;
2022-11-23T01:32:38.0485200Z                 }
2022-11-23T01:32:38.0485262Z             }
2022-11-23T01:32:38.0485323Z         }
2022-11-23T01:32:38.0485398Z         #pragma omp for 
2022-11-23T01:32:38.0485478Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:38.0485539Z         {
2022-11-23T01:32:38.0485589Z             {
2022-11-23T01:32:38.0485651Z                 {
2022-11-23T01:32:38.0485730Z                     float tmp6 = 0;
2022-11-23T01:32:38.0485822Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:38.0485887Z                     {
2022-11-23T01:32:38.0485956Z                         {
2022-11-23T01:32:38.0486058Z                             auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:38.0486142Z                             auto tmp1 = out_ptr7[i0];
2022-11-23T01:32:38.0486248Z                             auto tmp2 = static_cast<float>(8);
2022-11-23T01:32:38.0486342Z                             auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:38.0486486Z                             auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:38.0486576Z                             auto tmp5 = tmp4 * tmp4;
2022-11-23T01:32:38.0486657Z                             tmp6 += tmp5;
2022-11-23T01:32:38.0486723Z                         }
2022-11-23T01:32:38.0486775Z                     }
2022-11-23T01:32:38.0486857Z                     out_ptr8[i0] = tmp6;
2022-11-23T01:32:38.0486920Z                 }
2022-11-23T01:32:38.0486981Z             }
2022-11-23T01:32:38.0487044Z         }
2022-11-23T01:32:38.0487104Z     }
2022-11-23T01:32:38.0487164Z     {
2022-11-23T01:32:38.0487337Z         #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:38.0487410Z         float tmp6 = 0;
2022-11-23T01:32:38.0487526Z         auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:32:38.0487627Z         #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0487690Z         {
2022-11-23T01:32:38.0487825Z             #pragma omp for reduction(+:tmp6_vec) 
2022-11-23T01:32:38.0487909Z             for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:38.0487959Z             {
2022-11-23T01:32:38.0488092Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.0488215Z                 auto tmp1 = at::vec::Vectorized<float>(out_ptr4[0]);
2022-11-23T01:32:38.0488348Z                 auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(256));
2022-11-23T01:32:38.0488470Z                 auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:38.0488600Z                 auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:38.0488686Z                 auto tmp5 = tmp4.pow(2);
2022-11-23T01:32:38.0488766Z                 tmp6_vec += tmp5;
2022-11-23T01:32:38.0488816Z             }
2022-11-23T01:32:38.0489008Z             tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:32:38.0489130Z             #pragma omp for simd simdlen(8) reduction(+:tmp6) 
2022-11-23T01:32:38.0489221Z             for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:38.0489284Z             {
2022-11-23T01:32:38.0489371Z                 auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.0489456Z                 auto tmp1 = out_ptr4[0];
2022-11-23T01:32:38.0489544Z                 auto tmp2 = static_cast<float>(256);
2022-11-23T01:32:38.0489628Z                 auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:38.0489756Z                 auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:38.0489840Z                 auto tmp5 = tmp4 * tmp4;
2022-11-23T01:32:38.0489914Z                 tmp6 += tmp5;
2022-11-23T01:32:38.0489980Z             }
2022-11-23T01:32:38.0490043Z         }
2022-11-23T01:32:38.0490107Z         out_ptr9[0] = tmp6;
2022-11-23T01:32:38.0490168Z     }
2022-11-23T01:32:38.0490264Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0490324Z     {
2022-11-23T01:32:38.0490400Z         #pragma omp for 
2022-11-23T01:32:38.0490481Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:38.0490545Z         {
2022-11-23T01:32:38.0490594Z             {
2022-11-23T01:32:38.0490657Z                 {
2022-11-23T01:32:38.0490735Z                     float tmp1 = 0;
2022-11-23T01:32:38.0490826Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:38.0490892Z                     {
2022-11-23T01:32:38.0490959Z                         {
2022-11-23T01:32:38.0491050Z                             auto tmp0 = in_ptr0[i0 + (32*i1)];
2022-11-23T01:32:38.0491132Z                             tmp1 += tmp0;
2022-11-23T01:32:38.0491199Z                         }
2022-11-23T01:32:38.0491263Z                     }
2022-11-23T01:32:38.0491346Z                     out_ptr10[i0] = tmp1;
2022-11-23T01:32:38.0491410Z                 }
2022-11-23T01:32:38.0491471Z             }
2022-11-23T01:32:38.0491519Z         }
2022-11-23T01:32:38.0491594Z         #pragma omp for 
2022-11-23T01:32:38.0491675Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:38.0491736Z         {
2022-11-23T01:32:38.0491803Z             {
2022-11-23T01:32:38.0491865Z                 {
2022-11-23T01:32:38.0491944Z                     float tmp6 = 0;
2022-11-23T01:32:38.0492010Z                     float tmp7 = 0;
2022-11-23T01:32:38.0492098Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:38.0492164Z                     {
2022-11-23T01:32:38.0492229Z                         {
2022-11-23T01:32:38.0492331Z                             auto tmp0 = in_ptr0[i0 + (32*i1)];
2022-11-23T01:32:38.0492431Z                             auto tmp1 = out_ptr10[i0];
2022-11-23T01:32:38.0492536Z                             auto tmp2 = static_cast<float>(8);
2022-11-23T01:32:38.0492619Z                             auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:38.0492763Z                             auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:38.0492854Z                             auto tmp5 = tmp4 * tmp4;
2022-11-23T01:32:38.0492934Z                             tmp6 += tmp5;
2022-11-23T01:32:38.0493014Z                             tmp7 += tmp0;
2022-11-23T01:32:38.0493111Z                         }
2022-11-23T01:32:38.0493177Z                     }
2022-11-23T01:32:38.0493248Z                     out_ptr11[i0] = tmp6;
2022-11-23T01:32:38.0493329Z                     out_ptr12[i0] = tmp7;
2022-11-23T01:32:38.0493393Z                 }
2022-11-23T01:32:38.0493454Z             }
2022-11-23T01:32:38.0493515Z         }
2022-11-23T01:32:38.0493590Z         #pragma omp for 
2022-11-23T01:32:38.0493699Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:38.0493748Z         {
2022-11-23T01:32:38.0493810Z             {
2022-11-23T01:32:38.0493873Z                 {
2022-11-23T01:32:38.0493951Z                     float tmp6 = 0;
2022-11-23T01:32:38.0494040Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:38.0494104Z                     {
2022-11-23T01:32:38.0494159Z                         {
2022-11-23T01:32:38.0494261Z                             auto tmp0 = in_ptr0[i0 + (32*i1)];
2022-11-23T01:32:38.0494362Z                             auto tmp1 = out_ptr12[i0];
2022-11-23T01:32:38.0494465Z                             auto tmp2 = static_cast<float>(8);
2022-11-23T01:32:38.0494559Z                             auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:38.0494700Z                             auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:38.0494793Z                             auto tmp5 = tmp4 * tmp4;
2022-11-23T01:32:38.0494874Z                             tmp6 += tmp5;
2022-11-23T01:32:38.0494930Z                         }
2022-11-23T01:32:38.0494995Z                     }
2022-11-23T01:32:38.0495078Z                     out_ptr13[i0] = tmp6;
2022-11-23T01:32:38.0495141Z                 }
2022-11-23T01:32:38.0495203Z             }
2022-11-23T01:32:38.0495264Z         }
2022-11-23T01:32:38.0495331Z         #pragma omp single
2022-11-23T01:32:38.0495391Z         {
2022-11-23T01:32:38.0495452Z             {
2022-11-23T01:32:38.0495517Z                 {
2022-11-23T01:32:38.0495608Z                     auto tmp0 = out_ptr1[0];
2022-11-23T01:32:38.0495718Z                     auto tmp1 = static_cast<float>(255);
2022-11-23T01:32:38.0495810Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:38.0495884Z                     in_out_ptr0[0] = tmp2;
2022-11-23T01:32:38.0495946Z                 }
2022-11-23T01:32:38.0496008Z             }
2022-11-23T01:32:38.0496068Z         }
2022-11-23T01:32:38.0496146Z         #pragma omp single
2022-11-23T01:32:38.0496211Z         {
2022-11-23T01:32:38.0496275Z             {
2022-11-23T01:32:38.0496325Z                 {
2022-11-23T01:32:38.0496414Z                     auto tmp0 = out_ptr3[0];
2022-11-23T01:32:38.0496519Z                     auto tmp1 = static_cast<float>(256);
2022-11-23T01:32:38.0496608Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:38.0496693Z                     in_out_ptr1[0] = tmp2;
2022-11-23T01:32:38.0496756Z                 }
2022-11-23T01:32:38.0496818Z             }
2022-11-23T01:32:38.0496867Z         }
2022-11-23T01:32:38.0496944Z         #pragma omp for 
2022-11-23T01:32:38.0497024Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:38.0497085Z         {
2022-11-23T01:32:38.0497218Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr6 + 16*i0);
2022-11-23T01:32:38.0497350Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(7));
2022-11-23T01:32:38.0497435Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:38.0497516Z             tmp2.store(in_out_ptr2 + 16*i0);
2022-11-23T01:32:38.0497579Z         }
2022-11-23T01:32:38.0497672Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.0497753Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:32:38.0497816Z         {
2022-11-23T01:32:38.0497898Z             auto tmp0 = out_ptr6[i0];
2022-11-23T01:32:38.0497997Z             auto tmp1 = static_cast<float>(7);
2022-11-23T01:32:38.0498067Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:38.0498146Z             in_out_ptr2[i0] = tmp2;
2022-11-23T01:32:38.0498207Z         }
2022-11-23T01:32:38.0498311Z         #pragma omp for 
2022-11-23T01:32:38.0498390Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:38.0498451Z         {
2022-11-23T01:32:38.0498585Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr8 + 16*i0);
2022-11-23T01:32:38.0498704Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T01:32:38.0498788Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:38.0498881Z             tmp2.store(in_out_ptr3 + 16*i0);
2022-11-23T01:32:38.0498969Z         }
2022-11-23T01:32:38.0499064Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.0499145Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:32:38.0499206Z         {
2022-11-23T01:32:38.0499278Z             auto tmp0 = out_ptr8[i0];
2022-11-23T01:32:38.0499374Z             auto tmp1 = static_cast<float>(8);
2022-11-23T01:32:38.0499455Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:38.0499536Z             in_out_ptr3[i0] = tmp2;
2022-11-23T01:32:38.0499596Z         }
2022-11-23T01:32:38.0499676Z         #pragma omp single
2022-11-23T01:32:38.0499725Z         {
2022-11-23T01:32:38.0499787Z             {
2022-11-23T01:32:38.0499850Z                 {
2022-11-23T01:32:38.0499938Z                     auto tmp0 = out_ptr9[0];
2022-11-23T01:32:38.0500041Z                     auto tmp1 = static_cast<float>(256);
2022-11-23T01:32:38.0500130Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:38.0500232Z                     auto tmp3 = std::sqrt(tmp2);
2022-11-23T01:32:38.0500308Z                     in_out_ptr4[0] = tmp3;
2022-11-23T01:32:38.0500372Z                 }
2022-11-23T01:32:38.0500434Z             }
2022-11-23T01:32:38.0500494Z         }
2022-11-23T01:32:38.0500569Z         #pragma omp for 
2022-11-23T01:32:38.0500649Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:38.0500710Z         {
2022-11-23T01:32:38.0500831Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr11 + 16*i0);
2022-11-23T01:32:38.0500960Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(7));
2022-11-23T01:32:38.0501045Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:38.0501126Z             auto tmp3 = tmp2.sqrt();
2022-11-23T01:32:38.0501219Z             tmp3.store(in_out_ptr5 + 16*i0);
2022-11-23T01:32:38.0501280Z         }
2022-11-23T01:32:38.0501372Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.0501440Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:32:38.0501500Z         {
2022-11-23T01:32:38.0501593Z             auto tmp0 = out_ptr11[i0];
2022-11-23T01:32:38.0501689Z             auto tmp1 = static_cast<float>(7);
2022-11-23T01:32:38.0501771Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:38.0501862Z             auto tmp3 = std::sqrt(tmp2);
2022-11-23T01:32:38.0501943Z             in_out_ptr5[i0] = tmp3;
2022-11-23T01:32:38.0501992Z         }
2022-11-23T01:32:38.0502066Z         #pragma omp for 
2022-11-23T01:32:38.0502145Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:38.0502205Z         {
2022-11-23T01:32:38.0502340Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr13 + 16*i0);
2022-11-23T01:32:38.0502469Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(8));
2022-11-23T01:32:38.0502551Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:38.0502633Z             auto tmp3 = tmp2.sqrt();
2022-11-23T01:32:38.0502714Z             tmp3.store(in_out_ptr6 + 16*i0);
2022-11-23T01:32:38.0502775Z         }
2022-11-23T01:32:38.0502867Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.0502950Z         for(long i0=32; i0<32; i0+=1)
2022-11-23T01:32:38.0503011Z         {
2022-11-23T01:32:38.0503098Z             auto tmp0 = out_ptr13[i0];
2022-11-23T01:32:38.0503183Z             auto tmp1 = static_cast<float>(8);
2022-11-23T01:32:38.0503266Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:38.0503355Z             auto tmp3 = std::sqrt(tmp2);
2022-11-23T01:32:38.0503436Z             in_out_ptr6[i0] = tmp3;
2022-11-23T01:32:38.0503498Z         }
2022-11-23T01:32:38.0503575Z         #pragma omp for 
2022-11-23T01:32:38.0503683Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.0503731Z         {
2022-11-23T01:32:38.0503810Z             #pragma GCC ivdep
2022-11-23T01:32:38.0503892Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:38.0503956Z             {
2022-11-23T01:32:38.0504020Z                 {
2022-11-23T01:32:38.0504086Z                     {
2022-11-23T01:32:38.0504191Z                         auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:32:38.0504350Z                         auto tmp1 = in_ptr0[8 + i1 + (32*i0)];
2022-11-23T01:32:38.0504549Z                         auto tmp3 = in_ptr0[16 + i1 + (32*i0)];
2022-11-23T01:32:38.0504664Z                         auto tmp5 = in_ptr0[24 + i1 + (32*i0)];
2022-11-23T01:32:38.0504758Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.0504851Z                         auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.0504944Z                         auto tmp6 = tmp4 + tmp5;
2022-11-23T01:32:38.0505050Z                         auto tmp7 = static_cast<float>(4);
2022-11-23T01:32:38.0505142Z                         auto tmp8 = tmp6 / tmp7;
2022-11-23T01:32:38.0505286Z                         auto tmp9 = tmp0 - tmp8;
2022-11-23T01:32:38.0505383Z                         auto tmp10 = tmp9 * tmp9;
2022-11-23T01:32:38.0505523Z                         auto tmp11 = tmp1 - tmp8;
2022-11-23T01:32:38.0505618Z                         auto tmp12 = tmp11 * tmp11;
2022-11-23T01:32:38.0505712Z                         auto tmp13 = tmp10 + tmp12;
2022-11-23T01:32:38.0505852Z                         auto tmp14 = tmp3 - tmp8;
2022-11-23T01:32:38.0505947Z                         auto tmp15 = tmp14 * tmp14;
2022-11-23T01:32:38.0506025Z                         auto tmp16 = tmp13 + tmp15;
2022-11-23T01:32:38.0506164Z                         auto tmp17 = tmp5 - tmp8;
2022-11-23T01:32:38.0506255Z                         auto tmp18 = tmp17 * tmp17;
2022-11-23T01:32:38.0506346Z                         auto tmp19 = tmp16 + tmp18;
2022-11-23T01:32:38.0506453Z                         auto tmp20 = static_cast<float>(3);
2022-11-23T01:32:38.0506542Z                         auto tmp21 = tmp19 / tmp20;
2022-11-23T01:32:38.0506646Z                         auto tmp22 = std::sqrt(tmp21);
2022-11-23T01:32:38.0506729Z                         out_ptr14[i1 + (8*i0)] = tmp22;
2022-11-23T01:32:38.0506794Z                     }
2022-11-23T01:32:38.0506857Z                 }
2022-11-23T01:32:38.0506918Z             }
2022-11-23T01:32:38.0506983Z         }
2022-11-23T01:32:38.0507044Z     }
2022-11-23T01:32:38.0507103Z }
2022-11-23T01:32:38.0507167Z ''')
2022-11-23T01:32:38.0507175Z 
2022-11-23T01:32:38.0507179Z 
2022-11-23T01:32:38.0507268Z async_compile.wait(globals())
2022-11-23T01:32:38.0507338Z del async_compile
2022-11-23T01:32:38.0507343Z 
2022-11-23T01:32:38.0507411Z def call(args):
2022-11-23T01:32:38.0507479Z     arg0_1, = args
2022-11-23T01:32:38.0507548Z     args.clear()
2022-11-23T01:32:38.0507756Z     buf0 = empty_strided((1, 1, 1, 1), (1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0507931Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0508133Z     buf2 = empty_strided((1, 1, 1, 1), (1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0508312Z     buf3 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0508512Z     buf8 = empty_strided((1, 1, 1, 1), (1, 1, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0508721Z     buf4 = empty_strided((2, 4, 4, 1), (16, 4, 1, 32), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0508919Z     buf5 = empty_strided((2, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0509122Z     buf6 = empty_strided((2, 4, 4, 1), (16, 4, 1, 32), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0509319Z     buf7 = empty_strided((2, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0509494Z     buf9 = empty_strided((), (), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0509729Z     buf10 = empty_strided((1, 1, 4, 8), (32, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0509919Z     buf11 = empty_strided((4, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0510123Z     buf12 = empty_strided((1, 1, 4, 8), (32, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0510312Z     buf13 = empty_strided((4, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0510422Z     buf14 = buf1; del buf1  # reuse
2022-11-23T01:32:38.0510504Z     buf15 = buf3; del buf3  # reuse
2022-11-23T01:32:38.0510583Z     buf16 = buf5; del buf5  # reuse
2022-11-23T01:32:38.0510650Z     buf17 = buf7; del buf7  # reuse
2022-11-23T01:32:38.0510729Z     buf18 = buf9; del buf9  # reuse
2022-11-23T01:32:38.0510813Z     buf19 = buf11; del buf11  # reuse
2022-11-23T01:32:38.0510894Z     buf20 = buf13; del buf13  # reuse
2022-11-23T01:32:38.0511098Z     buf21 = empty_strided((2, 4, 1, 8), (32, 8, 64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0511563Z     kernel_cpp_0(c_void_p(buf14.data_ptr()), c_void_p(buf15.data_ptr()), c_void_p(buf16.data_ptr()), c_void_p(buf17.data_ptr()), c_void_p(buf18.data_ptr()), c_void_p(buf19.data_ptr()), c_void_p(buf20.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf10.data_ptr()), c_void_p(buf12.data_ptr()), c_void_p(buf21.data_ptr()))
2022-11-23T01:32:38.0511635Z     del arg0_1
2022-11-23T01:32:38.0511754Z     return (buf14, buf15, buf16, buf17, buf18, buf19, buf20, buf21, )
2022-11-23T01:32:38.0511760Z 
2022-11-23T01:32:38.0511764Z 
2022-11-23T01:32:38.0511842Z if __name__ == "__main__":
2022-11-23T01:32:38.0511944Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0512065Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0512277Z     arg0_1 = rand_strided((2, 4, 4, 8), (128, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0512386Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.0512764Z [2022-11-23 01:27:48,684] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ks/ckshrvvxqgqqjhuxbfir2pg2anq7azd3ahrjx3jd5iuezrbfqazd.py
2022-11-23T01:32:38.0513029Z [2022-11-23 01:27:48,685] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 375
2022-11-23T01:32:38.0513034Z 
2022-11-23T01:32:38.0513101Z ok (3.357s)
2022-11-23T01:32:38.0513413Z   test_strided_inputs_cpu (__main__.CpuTests) ... [2022-11-23 01:27:48,711] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:38.0513679Z [2022-11-23 01:27:48,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3204
2022-11-23T01:32:38.0513874Z [2022-11-23 01:27:48,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.0514110Z [2022-11-23 01:27:48,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.0514386Z [2022-11-23 01:27:48,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0514632Z [2022-11-23 01:27:48,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.0514863Z [2022-11-23 01:27:48,715] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:38.0515103Z [2022-11-23 01:27:48,717] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:38.0515338Z [2022-11-23 01:27:48,727] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:38.0515526Z [2022-11-23 01:27:48,727] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0515657Z  __compiled_fn_384 <eval_with_key>.2378 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0515728Z placeholder, x, x, (), {}
2022-11-23T01:32:38.0515840Z placeholder, y, y, (), {}
2022-11-23T01:32:38.0516004Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:38.0516098Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.0516104Z 
2022-11-23T01:32:38.0516380Z [2022-11-23 01:27:48,728] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 3202 
2022-11-23T01:32:38.0516472Z 3204           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0516586Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:38.0516649Z                4 BINARY_ADD
2022-11-23T01:32:38.0516723Z                6 RETURN_VALUE
2022-11-23T01:32:38.0516728Z 
2022-11-23T01:32:38.0516787Z  
2022-11-23T01:32:38.0517064Z [2022-11-23 01:27:48,728] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 3202 
2022-11-23T01:32:38.0517338Z 3202           0 LOAD_GLOBAL              0 (__compiled_fn_384)
2022-11-23T01:32:38.0517455Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0517548Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:38.0517639Z                6 CALL_FUNCTION            2
2022-11-23T01:32:38.0517718Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:38.0517793Z               10 RETURN_VALUE
2022-11-23T01:32:38.0517797Z 
2022-11-23T01:32:38.0517856Z  
2022-11-23T01:32:38.0518042Z [2022-11-23 01:27:48,729] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0518112Z  - 
2022-11-23T01:32:38.0518233Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:38.0518297Z             {
2022-11-23T01:32:38.0518426Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0518531Z                 'code': None,
2022-11-23T01:32:38.0518740Z                 'obj_weakref': <weakref at 0x7f71066b8b30; to 'Tensor' at 0x7f7106df66b0>
2022-11-23T01:32:38.0518988Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0519054Z             }
2022-11-23T01:32:38.0519120Z             
2022-11-23T01:32:38.0519190Z  - 
2022-11-23T01:32:38.0519295Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:38.0519357Z             {
2022-11-23T01:32:38.0519500Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0519606Z                 'code': None,
2022-11-23T01:32:38.0519811Z                 'obj_weakref': <weakref at 0x7f7106b9add0; to 'Tensor' at 0x7f7106df6170>
2022-11-23T01:32:38.0520056Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0520119Z             }
2022-11-23T01:32:38.0520170Z             
2022-11-23T01:32:38.0520426Z [2022-11-23 01:27:48,744] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 376
2022-11-23T01:32:38.0520789Z [2022-11-23 01:27:51,309] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ak/cakit77q4mhr2iwdy4cqjm2rjld7ja4o4wihkrkxhjkgsg4yn2mb.py
2022-11-23T01:32:38.0521053Z [2022-11-23 01:27:51,310] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 376
2022-11-23T01:32:38.0521061Z 
2022-11-23T01:32:38.0521155Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0521223Z import torch
2022-11-23T01:32:38.0521291Z import random
2022-11-23T01:32:38.0521408Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0521517Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0521534Z 
2022-11-23T01:32:38.0521602Z aten = torch.ops.aten
2022-11-23T01:32:38.0521737Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0521826Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0521831Z 
2022-11-23T01:32:38.0521836Z 
2022-11-23T01:32:38.0521967Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0522172Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0522290Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.0522459Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.0522560Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.0522609Z {
2022-11-23T01:32:38.0522706Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0522768Z     {
2022-11-23T01:32:38.0522844Z         #pragma omp for 
2022-11-23T01:32:38.0522926Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:38.0522990Z         {
2022-11-23T01:32:38.0523092Z             {
2022-11-23T01:32:38.0523159Z                 {
2022-11-23T01:32:38.0523254Z                     auto tmp0 = in_ptr0[2*i0];
2022-11-23T01:32:38.0523345Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.0523435Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.0523518Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.0523582Z                 }
2022-11-23T01:32:38.0523633Z             }
2022-11-23T01:32:38.0523696Z         }
2022-11-23T01:32:38.0523757Z     }
2022-11-23T01:32:38.0523819Z }
2022-11-23T01:32:38.0523897Z ''')
2022-11-23T01:32:38.0523902Z 
2022-11-23T01:32:38.0523906Z 
2022-11-23T01:32:38.0523995Z async_compile.wait(globals())
2022-11-23T01:32:38.0524066Z del async_compile
2022-11-23T01:32:38.0524072Z 
2022-11-23T01:32:38.0524129Z def call(args):
2022-11-23T01:32:38.0524204Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.0524275Z     args.clear()
2022-11-23T01:32:38.0524472Z     buf0 = empty_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0524638Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.0524707Z     del arg0_1
2022-11-23T01:32:38.0524773Z     del arg1_1
2022-11-23T01:32:38.0524831Z     return (buf0, )
2022-11-23T01:32:38.0524848Z 
2022-11-23T01:32:38.0524853Z 
2022-11-23T01:32:38.0524915Z if __name__ == "__main__":
2022-11-23T01:32:38.0525028Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0525150Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0525350Z     arg0_1 = rand_strided((8, 16), (32, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0525544Z     arg1_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0525657Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.0525662Z 
2022-11-23T01:32:38.0525728Z ok (2.615s)
2022-11-23T01:32:38.0526029Z   test_sum1_cpu (__main__.CpuTests) ... [2022-11-23 01:27:51,324] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0526286Z [2022-11-23 01:27:51,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0526502Z [2022-11-23 01:27:51,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0526755Z [2022-11-23 01:27:51,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0527038Z [2022-11-23 01:27:51,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0527364Z [2022-11-23 01:27:51,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0527689Z [2022-11-23 01:27:51,325] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6468db0, file "inductor/test_torchinductor.py", line 725> 
2022-11-23T01:32:38.0527785Z  726           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.0527875Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.0527947Z               4 BINARY_ADD
2022-11-23T01:32:38.0528029Z               6 LOAD_METHOD              0 (sum)
2022-11-23T01:32:38.0528166Z               8 LOAD_CONST               1 (-1)
2022-11-23T01:32:38.0528251Z              10 CALL_METHOD              1
2022-11-23T01:32:38.0528337Z              12 BUILD_TUPLE              1
2022-11-23T01:32:38.0528447Z              14 RETURN_VALUE
2022-11-23T01:32:38.0528509Z  
2022-11-23T01:32:38.0528514Z 
2022-11-23T01:32:38.0528778Z [2022-11-23 01:27:51,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:726
2022-11-23T01:32:38.0528973Z [2022-11-23 01:27:51,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.0529207Z [2022-11-23 01:27:51,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.0529505Z [2022-11-23 01:27:51,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0529746Z [2022-11-23 01:27:51,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:38.0530019Z [2022-11-23 01:27:51,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:38.0530335Z [2022-11-23 01:27:51,330] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:38.0530576Z [2022-11-23 01:27:51,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.0530819Z [2022-11-23 01:27:51,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0531151Z [2022-11-23 01:27:51,333] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6468db0, file "inductor/test_torchinductor.py", line 725>
2022-11-23T01:32:38.0531395Z [2022-11-23 01:27:51,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0531616Z [2022-11-23 01:27:51,333] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0531865Z [2022-11-23 01:27:51,335] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0532112Z [2022-11-23 01:27:51,344] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0532300Z [2022-11-23 01:27:51,344] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0532436Z  __compiled_fn_385 <eval_with_key>.2384 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0532524Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0532609Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.0532784Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.0532904Z call_method, sum_1, sum, (add, -1), {}
2022-11-23T01:32:38.0532996Z output, output, output, ((sum_1,),), {}
2022-11-23T01:32:38.0533002Z 
2022-11-23T01:32:38.0533277Z [2022-11-23 01:27:51,345] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0533371Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0533460Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0533551Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0533642Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0533706Z               8 RETURN_VALUE
2022-11-23T01:32:38.0533723Z 
2022-11-23T01:32:38.0533772Z  
2022-11-23T01:32:38.0534043Z [2022-11-23 01:27:51,345] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0534151Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_385)
2022-11-23T01:32:38.0534242Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0534330Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0534405Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0534515Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0534589Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0534664Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.0534750Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.0534854Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.0534982Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0535070Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0535145Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.0535220Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.0535296Z              26 RETURN_VALUE
2022-11-23T01:32:38.0535301Z 
2022-11-23T01:32:38.0535360Z  
2022-11-23T01:32:38.0535569Z [2022-11-23 01:27:51,346] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0535639Z  - 
2022-11-23T01:32:38.0535757Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0535821Z             {
2022-11-23T01:32:38.0535947Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0536133Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.0536254Z                 'obj_weakref': None
2022-11-23T01:32:38.0536477Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0536543Z             }
2022-11-23T01:32:38.0536608Z             
2022-11-23T01:32:38.0536677Z  - 
2022-11-23T01:32:38.0536788Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0536851Z             {
2022-11-23T01:32:38.0536993Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0537099Z                 'code': None,
2022-11-23T01:32:38.0537309Z                 'obj_weakref': <weakref at 0x7f7106b9a470; to 'Tensor' at 0x7f7106ce52f0>
2022-11-23T01:32:38.0537555Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0537620Z             }
2022-11-23T01:32:38.0537671Z             
2022-11-23T01:32:38.0537738Z  - 
2022-11-23T01:32:38.0537859Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.0537921Z             {
2022-11-23T01:32:38.0538062Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0538166Z                 'code': None,
2022-11-23T01:32:38.0538375Z                 'obj_weakref': <weakref at 0x7f7106b9a410; to 'Tensor' at 0x7f71066b82f0>
2022-11-23T01:32:38.0538621Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0538671Z             }
2022-11-23T01:32:38.0538733Z             
2022-11-23T01:32:38.0538801Z  - 
2022-11-23T01:32:38.0538930Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0538993Z             {
2022-11-23T01:32:38.0539126Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0539280Z                 'code': ['___check_obj_id(model, 140123913987712)'],
2022-11-23T01:32:38.0539396Z                 'obj_weakref': None
2022-11-23T01:32:38.0539621Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0539683Z             }
2022-11-23T01:32:38.0539747Z             
2022-11-23T01:32:38.0539816Z  - 
2022-11-23T01:32:38.0539938Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0539988Z             {
2022-11-23T01:32:38.0540122Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0540336Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0540452Z                 'obj_weakref': None
2022-11-23T01:32:38.0540666Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0540730Z             }
2022-11-23T01:32:38.0540792Z             
2022-11-23T01:32:38.0541051Z [2022-11-23 01:27:51,356] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 377
2022-11-23T01:32:38.0541407Z [2022-11-23 01:27:53,957] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7u/c7uup4rdl4zjrrcgwa3bju5sdoxzqv3yhdd3t7x7d76didypg7qz.py
2022-11-23T01:32:38.0541670Z [2022-11-23 01:27:53,958] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 377
2022-11-23T01:32:38.0541704Z 
2022-11-23T01:32:38.0541799Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0541866Z import torch
2022-11-23T01:32:38.0541936Z import random
2022-11-23T01:32:38.0542049Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0542169Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0542174Z 
2022-11-23T01:32:38.0542251Z aten = torch.ops.aten
2022-11-23T01:32:38.0542398Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0542491Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0542496Z 
2022-11-23T01:32:38.0542500Z 
2022-11-23T01:32:38.0542633Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0542835Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0542954Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.0543061Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.0543166Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.0543227Z {
2022-11-23T01:32:38.0543311Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0543371Z     {
2022-11-23T01:32:38.0543446Z         #pragma omp for 
2022-11-23T01:32:38.0543527Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.0543589Z         {
2022-11-23T01:32:38.0543650Z             {
2022-11-23T01:32:38.0543701Z                 {
2022-11-23T01:32:38.0543782Z                     float tmp3 = 0;
2022-11-23T01:32:38.0543872Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:38.0543939Z                     {
2022-11-23T01:32:38.0544007Z                         {
2022-11-23T01:32:38.0544113Z                             auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:38.0544217Z                             auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:32:38.0544301Z                             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.0544381Z                             tmp3 += tmp2;
2022-11-23T01:32:38.0544524Z                         }
2022-11-23T01:32:38.0544591Z                     }
2022-11-23T01:32:38.0544676Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:38.0544740Z                 }
2022-11-23T01:32:38.0544802Z             }
2022-11-23T01:32:38.0544851Z         }
2022-11-23T01:32:38.0544913Z     }
2022-11-23T01:32:38.0544974Z }
2022-11-23T01:32:38.0545052Z ''')
2022-11-23T01:32:38.0545057Z 
2022-11-23T01:32:38.0545061Z 
2022-11-23T01:32:38.0545152Z async_compile.wait(globals())
2022-11-23T01:32:38.0545225Z del async_compile
2022-11-23T01:32:38.0545230Z 
2022-11-23T01:32:38.0545300Z def call(args):
2022-11-23T01:32:38.0545361Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.0545432Z     args.clear()
2022-11-23T01:32:38.0545622Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0545785Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.0545853Z     del arg0_1
2022-11-23T01:32:38.0545921Z     del arg1_1
2022-11-23T01:32:38.0545992Z     return (buf0, )
2022-11-23T01:32:38.0545997Z 
2022-11-23T01:32:38.0546002Z 
2022-11-23T01:32:38.0546076Z if __name__ == "__main__":
2022-11-23T01:32:38.0546178Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0546299Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0546494Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0546689Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0546801Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.0546806Z 
2022-11-23T01:32:38.0546872Z ok (2.648s)
2022-11-23T01:32:38.0547168Z   test_sum2_cpu (__main__.CpuTests) ... [2022-11-23 01:27:53,971] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0547437Z [2022-11-23 01:27:53,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0547681Z [2022-11-23 01:27:53,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0547932Z [2022-11-23 01:27:53,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0548215Z [2022-11-23 01:27:53,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0548563Z [2022-11-23 01:27:53,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0548890Z [2022-11-23 01:27:53,972] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6468ed0, file "inductor/test_torchinductor.py", line 731> 
2022-11-23T01:32:38.0548982Z  732           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.0549072Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.0549148Z               4 BINARY_ADD
2022-11-23T01:32:38.0549242Z               6 LOAD_METHOD              0 (sum)
2022-11-23T01:32:38.0549319Z               8 LOAD_CONST               1 (1)
2022-11-23T01:32:38.0549407Z              10 LOAD_CONST               2 (2)
2022-11-23T01:32:38.0549492Z              12 BUILD_LIST               2
2022-11-23T01:32:38.0549578Z              14 CALL_METHOD              1
2022-11-23T01:32:38.0549666Z              16 LOAD_FAST                0 (a)
2022-11-23T01:32:38.0549757Z              18 LOAD_FAST                1 (b)
2022-11-23T01:32:38.0549828Z              20 BINARY_ADD
2022-11-23T01:32:38.0549906Z              22 LOAD_METHOD              0 (sum)
2022-11-23T01:32:38.0550041Z              24 LOAD_CONST               3 (-1)
2022-11-23T01:32:38.0550126Z              26 CALL_METHOD              1
2022-11-23T01:32:38.0550214Z              28 BUILD_TUPLE              2
2022-11-23T01:32:38.0550289Z              30 RETURN_VALUE
2022-11-23T01:32:38.0550349Z  
2022-11-23T01:32:38.0550356Z 
2022-11-23T01:32:38.0550623Z [2022-11-23 01:27:53,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:732
2022-11-23T01:32:38.0550819Z [2022-11-23 01:27:53,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.0551056Z [2022-11-23 01:27:53,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.0551331Z [2022-11-23 01:27:53,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0551572Z [2022-11-23 01:27:53,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:38.0551844Z [2022-11-23 01:27:53,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:38.0552149Z [2022-11-23 01:27:53,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:38.0552495Z [2022-11-23 01:27:53,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.0552794Z [2022-11-23 01:27:53,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ListVariable()]
2022-11-23T01:32:38.0553030Z [2022-11-23 01:27:53,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()]
2022-11-23T01:32:38.0553291Z [2022-11-23 01:27:53,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0553578Z [2022-11-23 01:27:53,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0553841Z [2022-11-23 01:27:53,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0554144Z [2022-11-23 01:27:53,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:38.0554516Z [2022-11-23 01:27:53,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:38.0554783Z [2022-11-23 01:27:53,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0560502Z [2022-11-23 01:27:53,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0560910Z [2022-11-23 01:27:53,982] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6468ed0, file "inductor/test_torchinductor.py", line 731>
2022-11-23T01:32:38.0561162Z [2022-11-23 01:27:53,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0561403Z [2022-11-23 01:27:53,982] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0561661Z [2022-11-23 01:27:53,984] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0561901Z [2022-11-23 01:27:53,991] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0562092Z [2022-11-23 01:27:53,992] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0562230Z  __compiled_fn_386 <eval_with_key>.2390 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0562320Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0562406Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.0562583Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.0562681Z call_method, sum_1, sum, (add, [1, 2]), {}
2022-11-23T01:32:38.0562858Z call_function, add_1, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.0562978Z call_method, sum_2, sum, (add_1, -1), {}
2022-11-23T01:32:38.0563083Z output, output, output, ((sum_1, sum_2),), {}
2022-11-23T01:32:38.0563089Z 
2022-11-23T01:32:38.0563366Z [2022-11-23 01:27:53,992] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0563458Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0563549Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0563641Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0563732Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0563796Z               8 RETURN_VALUE
2022-11-23T01:32:38.0563814Z 
2022-11-23T01:32:38.0563862Z  
2022-11-23T01:32:38.0564132Z [2022-11-23 01:27:53,993] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0564238Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_386)
2022-11-23T01:32:38.0564327Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0564417Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0564496Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0564582Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0564657Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0564734Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.0564820Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.0564921Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.0565024Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0565114Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0565188Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.0565276Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0565362Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0565436Z              28 BINARY_SUBSCR
2022-11-23T01:32:38.0565524Z              30 BUILD_TUPLE              2
2022-11-23T01:32:38.0565598Z              32 RETURN_VALUE
2022-11-23T01:32:38.0565648Z 
2022-11-23T01:32:38.0565708Z  
2022-11-23T01:32:38.0565891Z [2022-11-23 01:27:53,994] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0565948Z  - 
2022-11-23T01:32:38.0566066Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0566130Z             {
2022-11-23T01:32:38.0566271Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0566456Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.0566604Z                 'obj_weakref': None
2022-11-23T01:32:38.0566831Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0566895Z             }
2022-11-23T01:32:38.0566946Z             
2022-11-23T01:32:38.0567015Z  - 
2022-11-23T01:32:38.0567138Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0567201Z             {
2022-11-23T01:32:38.0567341Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0567449Z                 'code': None,
2022-11-23T01:32:38.0567645Z                 'obj_weakref': <weakref at 0x7f70f2d7c4d0; to 'Tensor' at 0x7f7106c60050>
2022-11-23T01:32:38.0567889Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0567951Z             }
2022-11-23T01:32:38.0568014Z             
2022-11-23T01:32:38.0568081Z  - 
2022-11-23T01:32:38.0568202Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.0568267Z             {
2022-11-23T01:32:38.0568396Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0568501Z                 'code': None,
2022-11-23T01:32:38.0568706Z                 'obj_weakref': <weakref at 0x7f7106d06ad0; to 'Tensor' at 0x7f7106c60590>
2022-11-23T01:32:38.0568950Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0569014Z             }
2022-11-23T01:32:38.0569076Z             
2022-11-23T01:32:38.0569147Z  - 
2022-11-23T01:32:38.0569264Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0569327Z             {
2022-11-23T01:32:38.0569459Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0569626Z                 'code': ['___check_obj_id(model, 140123094839168)'],
2022-11-23T01:32:38.0569743Z                 'obj_weakref': None
2022-11-23T01:32:38.0569971Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0570036Z             }
2022-11-23T01:32:38.0570087Z             
2022-11-23T01:32:38.0570154Z  - 
2022-11-23T01:32:38.0570274Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0570337Z             {
2022-11-23T01:32:38.0570471Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0570689Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0570806Z                 'obj_weakref': None
2022-11-23T01:32:38.0571024Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0571074Z             }
2022-11-23T01:32:38.0571136Z             
2022-11-23T01:32:38.0571397Z [2022-11-23 01:27:54,007] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 378
2022-11-23T01:32:38.0571761Z [2022-11-23 01:27:56,623] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/36/c363d4vi7x6rd4jii5mjpbw24fhoeiccsnvhktbgyzy6kivzvtbc.py
2022-11-23T01:32:38.0572024Z [2022-11-23 01:27:56,624] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 378
2022-11-23T01:32:38.0572029Z 
2022-11-23T01:32:38.0572121Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0572191Z import torch
2022-11-23T01:32:38.0572247Z import random
2022-11-23T01:32:38.0572363Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0572482Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0572530Z 
2022-11-23T01:32:38.0572609Z aten = torch.ops.aten
2022-11-23T01:32:38.0572742Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0572834Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0572839Z 
2022-11-23T01:32:38.0572843Z 
2022-11-23T01:32:38.0572977Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0573180Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0573345Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.0573436Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.0573537Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.0573632Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:38.0573694Z {
2022-11-23T01:32:38.0573793Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0573856Z     {
2022-11-23T01:32:38.0573935Z         #pragma omp for 
2022-11-23T01:32:38.0574008Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.0574071Z         {
2022-11-23T01:32:38.0574152Z             #pragma GCC ivdep
2022-11-23T01:32:38.0574237Z             for(long i1=0; i1<21; i1+=1)
2022-11-23T01:32:38.0574299Z             {
2022-11-23T01:32:38.0574362Z                 {
2022-11-23T01:32:38.0574417Z                     {
2022-11-23T01:32:38.0574497Z                         float tmp3 = 0;
2022-11-23T01:32:38.0574591Z                         for(long i2=0; i2<27; i2+=1)
2022-11-23T01:32:38.0574662Z                         {
2022-11-23T01:32:38.0574733Z                             {
2022-11-23T01:32:38.0574844Z                                 auto tmp0 = in_ptr0[i1 + (21*i2) + (567*i0)];
2022-11-23T01:32:38.0574955Z                                 auto tmp1 = in_ptr1[i1 + (21*i2) + (567*i0)];
2022-11-23T01:32:38.0575041Z                                 auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.0575127Z                                 tmp3 += tmp2;
2022-11-23T01:32:38.0575196Z                             }
2022-11-23T01:32:38.0575267Z                         }
2022-11-23T01:32:38.0575362Z                         out_ptr0[i1 + (21*i0)] = tmp3;
2022-11-23T01:32:38.0575429Z                     }
2022-11-23T01:32:38.0575493Z                 }
2022-11-23T01:32:38.0575544Z             }
2022-11-23T01:32:38.0575605Z         }
2022-11-23T01:32:38.0575683Z         #pragma omp for 
2022-11-23T01:32:38.0575764Z         for(long i0=0; i0<216; i0+=1)
2022-11-23T01:32:38.0575827Z         {
2022-11-23T01:32:38.0575892Z             {
2022-11-23T01:32:38.0576093Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:38.0576159Z                 float tmp3 = 0;
2022-11-23T01:32:38.0576277Z                 auto tmp3_vec = at::vec::Vectorized<float>(tmp3);
2022-11-23T01:32:38.0576367Z                 for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:38.0576431Z                 {
2022-11-23T01:32:38.0576572Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (16*i1) + (21*i0));
2022-11-23T01:32:38.0576721Z                     auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + (16*i1) + (21*i0));
2022-11-23T01:32:38.0576812Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.0576893Z                     tmp3_vec += tmp2;
2022-11-23T01:32:38.0576944Z                 }
2022-11-23T01:32:38.0577142Z                 tmp3 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp3_vec);
2022-11-23T01:32:38.0577261Z                 #pragma omp simd simdlen(8)  reduction(+:tmp3)
2022-11-23T01:32:38.0577351Z                 for(long i1=16; i1<21; i1+=1)
2022-11-23T01:32:38.0577414Z                 {
2022-11-23T01:32:38.0577513Z                     auto tmp0 = in_ptr0[i1 + (21*i0)];
2022-11-23T01:32:38.0577608Z                     auto tmp1 = in_ptr1[i1 + (21*i0)];
2022-11-23T01:32:38.0577699Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.0577795Z                     tmp3 += tmp2;
2022-11-23T01:32:38.0577859Z                 }
2022-11-23T01:32:38.0577941Z                 out_ptr1[i0] = tmp3;
2022-11-23T01:32:38.0578003Z             }
2022-11-23T01:32:38.0578065Z         }
2022-11-23T01:32:38.0578130Z     }
2022-11-23T01:32:38.0578178Z }
2022-11-23T01:32:38.0578256Z ''')
2022-11-23T01:32:38.0578261Z 
2022-11-23T01:32:38.0578265Z 
2022-11-23T01:32:38.0578352Z async_compile.wait(globals())
2022-11-23T01:32:38.0578452Z del async_compile
2022-11-23T01:32:38.0578457Z 
2022-11-23T01:32:38.0578527Z def call(args):
2022-11-23T01:32:38.0578602Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.0578672Z     args.clear()
2022-11-23T01:32:38.0578873Z     buf0 = empty_strided((8, 21), (21, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0579063Z     buf1 = empty_strided((8, 9, 3), (27, 3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0579251Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:38.0579321Z     del arg0_1
2022-11-23T01:32:38.0579386Z     del arg1_1
2022-11-23T01:32:38.0579462Z     return (buf0, buf1, )
2022-11-23T01:32:38.0579467Z 
2022-11-23T01:32:38.0579471Z 
2022-11-23T01:32:38.0579546Z if __name__ == "__main__":
2022-11-23T01:32:38.0579659Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0579782Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0579986Z     arg0_1 = rand_strided((8, 9, 3, 21), (567, 63, 21, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0580198Z     arg1_1 = rand_strided((8, 9, 3, 21), (567, 63, 21, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0580311Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.0580316Z 
2022-11-23T01:32:38.0580382Z ok (2.667s)
2022-11-23T01:32:38.0580681Z   test_sum3_cpu (__main__.CpuTests) ... [2022-11-23 01:27:56,637] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0580951Z [2022-11-23 01:27:56,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0581169Z [2022-11-23 01:27:56,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0581422Z [2022-11-23 01:27:56,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0581712Z [2022-11-23 01:27:56,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0582024Z [2022-11-23 01:27:56,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0582350Z [2022-11-23 01:27:56,638] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f646c030, file "inductor/test_torchinductor.py", line 737> 
2022-11-23T01:32:38.0582442Z  738           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.0582535Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.0582609Z               4 BINARY_ADD
2022-11-23T01:32:38.0582700Z               6 STORE_FAST               2 (r1)
2022-11-23T01:32:38.0582705Z 
2022-11-23T01:32:38.0582793Z 739           8 LOAD_FAST                2 (r1)
2022-11-23T01:32:38.0582886Z              10 LOAD_METHOD              0 (sum)
2022-11-23T01:32:38.0583009Z              12 LOAD_CONST               1 (-1)
2022-11-23T01:32:38.0583098Z              14 CALL_METHOD              1
2022-11-23T01:32:38.0583187Z              16 STORE_FAST               3 (r2)
2022-11-23T01:32:38.0583192Z 
2022-11-23T01:32:38.0583285Z 740          18 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:38.0583378Z              20 LOAD_METHOD              2 (squeeze)
2022-11-23T01:32:38.0583466Z              22 LOAD_FAST                1 (b)
2022-11-23T01:32:38.0583553Z              24 CALL_METHOD              1
2022-11-23T01:32:38.0583642Z              26 LOAD_CONST               2 (10)
2022-11-23T01:32:38.0583735Z              28 BINARY_ADD
2022-11-23T01:32:38.0583823Z              30 STORE_FAST               4 (r3)
2022-11-23T01:32:38.0583828Z 
2022-11-23T01:32:38.0583913Z 741          32 LOAD_FAST                2 (r1)
2022-11-23T01:32:38.0584000Z              34 LOAD_FAST                3 (r2)
2022-11-23T01:32:38.0584085Z              36 LOAD_FAST                4 (r3)
2022-11-23T01:32:38.0584172Z              38 BUILD_TUPLE              3
2022-11-23T01:32:38.0584275Z              40 RETURN_VALUE
2022-11-23T01:32:38.0584325Z  
2022-11-23T01:32:38.0584329Z 
2022-11-23T01:32:38.0584678Z [2022-11-23 01:27:56,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:738
2022-11-23T01:32:38.0584890Z [2022-11-23 01:27:56,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.0585128Z [2022-11-23 01:27:56,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.0585405Z [2022-11-23 01:27:56,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0585645Z [2022-11-23 01:27:56,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST r1 [TensorVariable()]
2022-11-23T01:32:38.0585909Z [2022-11-23 01:27:56,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:739
2022-11-23T01:32:38.0586121Z [2022-11-23 01:27:56,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r1 []
2022-11-23T01:32:38.0586361Z [2022-11-23 01:27:56,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:38.0586625Z [2022-11-23 01:27:56,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:38.0586940Z [2022-11-23 01:27:56,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:38.0587183Z [2022-11-23 01:27:56,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST r2 [TensorVariable()]
2022-11-23T01:32:38.0587451Z [2022-11-23 01:27:56,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:740
2022-11-23T01:32:38.0587670Z [2022-11-23 01:27:56,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.0588041Z [2022-11-23 01:27:56,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0588365Z [2022-11-23 01:27:56,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method squeeze of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.0588723Z [2022-11-23 01:27:56,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method squeeze of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.0588964Z [2022-11-23 01:27:56,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable()]
2022-11-23T01:32:38.0589248Z [2022-11-23 01:27:56,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0589472Z [2022-11-23 01:27:56,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST r3 [TensorVariable()]
2022-11-23T01:32:38.0589738Z [2022-11-23 01:27:56,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:741
2022-11-23T01:32:38.0589951Z [2022-11-23 01:27:56,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r1 []
2022-11-23T01:32:38.0590188Z [2022-11-23 01:27:56,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r2 [TensorVariable()]
2022-11-23T01:32:38.0590456Z [2022-11-23 01:27:56,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r3 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0590753Z [2022-11-23 01:27:56,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0591038Z [2022-11-23 01:27:56,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0591367Z [2022-11-23 01:27:56,648] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f646c030, file "inductor/test_torchinductor.py", line 737>
2022-11-23T01:32:38.0591640Z [2022-11-23 01:27:56,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0591878Z [2022-11-23 01:27:56,649] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0592118Z [2022-11-23 01:27:56,651] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0592369Z [2022-11-23 01:27:56,658] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0592558Z [2022-11-23 01:27:56,659] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0592695Z  __compiled_fn_387 <eval_with_key>.2396 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0592787Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0592875Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.0593055Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.0593188Z call_method, sum_1, sum, (add, -1), {}
2022-11-23T01:32:38.0593412Z call_function, squeeze, <built-in method squeeze of type object at 0x7f71f2abebc0>, (ex_1_,), {}
2022-11-23T01:32:38.0593593Z call_function, add_1, <built-in function add>, (squeeze, 10), {}
2022-11-23T01:32:38.0593704Z output, output, output, ((add, sum_1, add_1),), {}
2022-11-23T01:32:38.0593709Z 
2022-11-23T01:32:38.0593989Z [2022-11-23 01:27:56,660] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0594084Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0594182Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0594274Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0594367Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0594430Z               8 RETURN_VALUE
2022-11-23T01:32:38.0594435Z 
2022-11-23T01:32:38.0594497Z  
2022-11-23T01:32:38.0594771Z [2022-11-23 01:27:56,660] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0594883Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_387)
2022-11-23T01:32:38.0594973Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0595063Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0595142Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0595217Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0595306Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0595382Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.0595473Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.0595578Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.0595679Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0595769Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0595833Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.0595933Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0596024Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0596098Z              28 BINARY_SUBSCR
2022-11-23T01:32:38.0596197Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0596285Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:38.0596359Z              34 BINARY_SUBSCR
2022-11-23T01:32:38.0596434Z              36 BUILD_TUPLE              3
2022-11-23T01:32:38.0596511Z              38 RETURN_VALUE
2022-11-23T01:32:38.0596516Z 
2022-11-23T01:32:38.0596575Z  
2022-11-23T01:32:38.0596790Z [2022-11-23 01:27:56,661] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0596858Z  - 
2022-11-23T01:32:38.0596977Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0597040Z             {
2022-11-23T01:32:38.0597324Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0597523Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.0597646Z                 'obj_weakref': None
2022-11-23T01:32:38.0597931Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0597996Z             }
2022-11-23T01:32:38.0598060Z             
2022-11-23T01:32:38.0598179Z  - 
2022-11-23T01:32:38.0598303Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0598354Z             {
2022-11-23T01:32:38.0598497Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0598601Z                 'code': None,
2022-11-23T01:32:38.0598811Z                 'obj_weakref': <weakref at 0x7f70f2d94a10; to 'Tensor' at 0x7f7106c61050>
2022-11-23T01:32:38.0599061Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0599125Z             }
2022-11-23T01:32:38.0599189Z             
2022-11-23T01:32:38.0599244Z  - 
2022-11-23T01:32:38.0599365Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.0599430Z             {
2022-11-23T01:32:38.0599575Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0599680Z                 'code': None,
2022-11-23T01:32:38.0599886Z                 'obj_weakref': <weakref at 0x7f7107253ef0; to 'Tensor' at 0x7f70f2d94dd0>
2022-11-23T01:32:38.0600138Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0600188Z             }
2022-11-23T01:32:38.0600251Z             
2022-11-23T01:32:38.0600320Z  - 
2022-11-23T01:32:38.0600451Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0600516Z             {
2022-11-23T01:32:38.0600649Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0600816Z                 'code': ['___check_obj_id(model, 140125781962192)'],
2022-11-23T01:32:38.0600921Z                 'obj_weakref': None
2022-11-23T01:32:38.0601144Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0601207Z             }
2022-11-23T01:32:38.0601270Z             
2022-11-23T01:32:38.0601339Z  - 
2022-11-23T01:32:38.0601460Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0601510Z             {
2022-11-23T01:32:38.0601642Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0601854Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0601971Z                 'obj_weakref': None
2022-11-23T01:32:38.0602187Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0602252Z             }
2022-11-23T01:32:38.0602314Z             
2022-11-23T01:32:38.0602381Z  - 
2022-11-23T01:32:38.0602501Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.0602563Z             {
2022-11-23T01:32:38.0602682Z                 'guard_types': None,
2022-11-23T01:32:38.0602786Z                 'code': None,
2022-11-23T01:32:38.0602902Z                 'obj_weakref': None
2022-11-23T01:32:38.0603021Z                 'guarded_class': None
2022-11-23T01:32:38.0603073Z             }
2022-11-23T01:32:38.0603134Z             
2022-11-23T01:32:38.0603394Z [2022-11-23 01:27:56,676] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 379
2022-11-23T01:32:38.0603761Z [2022-11-23 01:27:59,278] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4t/c4titu34hdmokvn2efthr6igpf7s3h74alhoutl3jix4v5hjpll7.py
2022-11-23T01:32:38.0604025Z [2022-11-23 01:27:59,279] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 379
2022-11-23T01:32:38.0604078Z 
2022-11-23T01:32:38.0604170Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0604240Z import torch
2022-11-23T01:32:38.0604309Z import random
2022-11-23T01:32:38.0604413Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0604532Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0604538Z 
2022-11-23T01:32:38.0604614Z aten = torch.ops.aten
2022-11-23T01:32:38.0604776Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0604868Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0604873Z 
2022-11-23T01:32:38.0604878Z 
2022-11-23T01:32:38.0605012Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0605217Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0605338Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.0605429Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.0605531Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.0605627Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:38.0605720Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:38.0605782Z {
2022-11-23T01:32:38.0605880Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0605943Z     {
2022-11-23T01:32:38.0606006Z         #pragma omp for 
2022-11-23T01:32:38.0606093Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.0606159Z         {
2022-11-23T01:32:38.0606223Z             {
2022-11-23T01:32:38.0606287Z                 {
2022-11-23T01:32:38.0606366Z                     float tmp3 = 0;
2022-11-23T01:32:38.0606458Z                     for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.0606511Z                     {
2022-11-23T01:32:38.0606579Z                         {
2022-11-23T01:32:38.0606685Z                             auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:38.0606780Z                             auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:38.0606875Z                             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.0606971Z                             out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:38.0607054Z                             tmp3 += tmp2;
2022-11-23T01:32:38.0607111Z                         }
2022-11-23T01:32:38.0607176Z                     }
2022-11-23T01:32:38.0607259Z                     out_ptr1[i0] = tmp3;
2022-11-23T01:32:38.0607323Z                 }
2022-11-23T01:32:38.0607387Z             }
2022-11-23T01:32:38.0607449Z         }
2022-11-23T01:32:38.0607524Z         #pragma omp for 
2022-11-23T01:32:38.0607592Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.0607653Z         {
2022-11-23T01:32:38.0607716Z             {
2022-11-23T01:32:38.0607779Z                 {
2022-11-23T01:32:38.0607871Z                     auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:38.0607973Z                     auto tmp1 = static_cast<float>(10);
2022-11-23T01:32:38.0608063Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.0608134Z                     out_ptr2[i0] = tmp2;
2022-11-23T01:32:38.0608198Z                 }
2022-11-23T01:32:38.0608259Z             }
2022-11-23T01:32:38.0608320Z         }
2022-11-23T01:32:38.0608381Z     }
2022-11-23T01:32:38.0608439Z }
2022-11-23T01:32:38.0608504Z ''')
2022-11-23T01:32:38.0608509Z 
2022-11-23T01:32:38.0608526Z 
2022-11-23T01:32:38.0608603Z async_compile.wait(globals())
2022-11-23T01:32:38.0608673Z del async_compile
2022-11-23T01:32:38.0608680Z 
2022-11-23T01:32:38.0608749Z def call(args):
2022-11-23T01:32:38.0608823Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.0608894Z     args.clear()
2022-11-23T01:32:38.0609094Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0609287Z     buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0609462Z     buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0609738Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:38.0609807Z     del arg0_1
2022-11-23T01:32:38.0609873Z     del arg1_1
2022-11-23T01:32:38.0609957Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:38.0609962Z 
2022-11-23T01:32:38.0609966Z 
2022-11-23T01:32:38.0610043Z if __name__ == "__main__":
2022-11-23T01:32:38.0610158Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0610315Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0610500Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0610695Z     arg1_1 = rand_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0610810Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.0610815Z 
2022-11-23T01:32:38.0610881Z ok (2.655s)
2022-11-23T01:32:38.0611181Z   test_sum4_cpu (__main__.CpuTests) ... [2022-11-23 01:27:59,291] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0611453Z [2022-11-23 01:27:59,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0611672Z [2022-11-23 01:27:59,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0611928Z [2022-11-23 01:27:59,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0612213Z [2022-11-23 01:27:59,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0612522Z [2022-11-23 01:27:59,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0612845Z [2022-11-23 01:27:59,292] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f646c150, file "inductor/test_torchinductor.py", line 749> 
2022-11-23T01:32:38.0612939Z  750           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.0613030Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:38.0613103Z               4 BINARY_ADD
2022-11-23T01:32:38.0613192Z               6 STORE_FAST               1 (b)
2022-11-23T01:32:38.0613197Z 
2022-11-23T01:32:38.0613285Z 751           8 LOAD_FAST                1 (b)
2022-11-23T01:32:38.0613379Z              10 LOAD_METHOD              0 (sum)
2022-11-23T01:32:38.0613504Z              12 LOAD_CONST               2 (-1)
2022-11-23T01:32:38.0613591Z              14 CALL_METHOD              1
2022-11-23T01:32:38.0613680Z              16 STORE_FAST               2 (c)
2022-11-23T01:32:38.0613684Z 
2022-11-23T01:32:38.0613769Z 752          18 LOAD_FAST                2 (c)
2022-11-23T01:32:38.0613855Z              20 LOAD_CONST               3 (3)
2022-11-23T01:32:38.0613930Z              22 BINARY_ADD
2022-11-23T01:32:38.0614017Z              24 STORE_FAST               3 (d)
2022-11-23T01:32:38.0614023Z 
2022-11-23T01:32:38.0614111Z 753          26 LOAD_FAST                3 (d)
2022-11-23T01:32:38.0614191Z              28 LOAD_METHOD              0 (sum)
2022-11-23T01:32:38.0614324Z              30 LOAD_CONST               2 (-1)
2022-11-23T01:32:38.0614409Z              32 CALL_METHOD              1
2022-11-23T01:32:38.0614496Z              34 STORE_FAST               4 (e)
2022-11-23T01:32:38.0614501Z 
2022-11-23T01:32:38.0614587Z 754          36 LOAD_FAST                4 (e)
2022-11-23T01:32:38.0614671Z              38 LOAD_CONST               4 (5)
2022-11-23T01:32:38.0614742Z              40 BINARY_ADD
2022-11-23T01:32:38.0614815Z              42 STORE_FAST               5 (f)
2022-11-23T01:32:38.0614820Z 
2022-11-23T01:32:38.0614903Z 755          44 LOAD_FAST                5 (f)
2022-11-23T01:32:38.0614987Z              46 LOAD_FAST                4 (e)
2022-11-23T01:32:38.0615071Z              48 LOAD_FAST                3 (d)
2022-11-23T01:32:38.0615154Z              50 LOAD_FAST                2 (c)
2022-11-23T01:32:38.0615267Z              52 LOAD_FAST                1 (b)
2022-11-23T01:32:38.0615354Z              54 BUILD_TUPLE              5
2022-11-23T01:32:38.0615418Z              56 RETURN_VALUE
2022-11-23T01:32:38.0615478Z  
2022-11-23T01:32:38.0615483Z 
2022-11-23T01:32:38.0615751Z [2022-11-23 01:27:59,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:750
2022-11-23T01:32:38.0616000Z [2022-11-23 01:27:59,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.0616241Z [2022-11-23 01:27:59,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:38.0616521Z [2022-11-23 01:27:59,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0616754Z [2022-11-23 01:27:59,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:32:38.0617020Z [2022-11-23 01:27:59,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:751
2022-11-23T01:32:38.0617226Z [2022-11-23 01:27:59,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b []
2022-11-23T01:32:38.0617453Z [2022-11-23 01:27:59,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:38.0617729Z [2022-11-23 01:27:59,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:38.0618042Z [2022-11-23 01:27:59,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:38.0618277Z [2022-11-23 01:27:59,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:32:38.0618538Z [2022-11-23 01:27:59,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:752
2022-11-23T01:32:38.0618743Z [2022-11-23 01:27:59,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c []
2022-11-23T01:32:38.0618983Z [2022-11-23 01:27:59,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable()]
2022-11-23T01:32:38.0619261Z [2022-11-23 01:27:59,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0619491Z [2022-11-23 01:27:59,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()]
2022-11-23T01:32:38.0619757Z [2022-11-23 01:27:59,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:753
2022-11-23T01:32:38.0619952Z [2022-11-23 01:27:59,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d []
2022-11-23T01:32:38.0620193Z [2022-11-23 01:27:59,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:38.0620465Z [2022-11-23 01:27:59,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:38.0620782Z [2022-11-23 01:27:59,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:38.0621015Z [2022-11-23 01:27:59,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [TensorVariable()]
2022-11-23T01:32:38.0621281Z [2022-11-23 01:27:59,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:754
2022-11-23T01:32:38.0621489Z [2022-11-23 01:27:59,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e []
2022-11-23T01:32:38.0621726Z [2022-11-23 01:27:59,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable()]
2022-11-23T01:32:38.0622005Z [2022-11-23 01:27:59,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0622226Z [2022-11-23 01:27:59,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST f [TensorVariable()]
2022-11-23T01:32:38.0622520Z [2022-11-23 01:27:59,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:755
2022-11-23T01:32:38.0622725Z [2022-11-23 01:27:59,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST f []
2022-11-23T01:32:38.0622961Z [2022-11-23 01:27:59,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TensorVariable()]
2022-11-23T01:32:38.0623251Z [2022-11-23 01:27:59,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0623540Z [2022-11-23 01:27:59,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0623855Z [2022-11-23 01:27:59,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0624209Z [2022-11-23 01:27:59,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0624541Z [2022-11-23 01:27:59,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0624877Z [2022-11-23 01:27:59,306] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f646c150, file "inductor/test_torchinductor.py", line 749>
2022-11-23T01:32:38.0625112Z [2022-11-23 01:27:59,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0625345Z [2022-11-23 01:27:59,307] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0625597Z [2022-11-23 01:27:59,309] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0625844Z [2022-11-23 01:27:59,317] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0626035Z [2022-11-23 01:27:59,318] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0626171Z  __compiled_fn_388 <eval_with_key>.2402 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0626262Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0626436Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:38.0626554Z call_method, sum_1, sum, (add, -1), {}
2022-11-23T01:32:38.0626727Z call_function, add_1, <built-in function add>, (sum_1, 3), {}
2022-11-23T01:32:38.0626862Z call_method, sum_2, sum, (add_1, -1), {}
2022-11-23T01:32:38.0627037Z call_function, add_2, <built-in function add>, (sum_2, 5), {}
2022-11-23T01:32:38.0627156Z output, output, output, ((add_2, sum_2, add_1, sum_1, add),), {}
2022-11-23T01:32:38.0627162Z 
2022-11-23T01:32:38.0627435Z [2022-11-23 01:27:59,318] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0627529Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0627620Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0627704Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0627791Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0627866Z               8 RETURN_VALUE
2022-11-23T01:32:38.0627871Z 
2022-11-23T01:32:38.0627931Z  
2022-11-23T01:32:38.0628202Z [2022-11-23 01:27:59,319] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0628310Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_388)
2022-11-23T01:32:38.0628399Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0628487Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0628550Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0628636Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.0628740Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.0628840Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0628969Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0629044Z              16 BINARY_SUBSCR
2022-11-23T01:32:38.0629144Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0629219Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0629294Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.0629394Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0629512Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:38.0629589Z              28 BINARY_SUBSCR
2022-11-23T01:32:38.0629689Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0629778Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:38.0629839Z              34 BINARY_SUBSCR
2022-11-23T01:32:38.0629941Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0630031Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:38.0630107Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.0630199Z              42 BUILD_TUPLE              5
2022-11-23T01:32:38.0630275Z              44 RETURN_VALUE
2022-11-23T01:32:38.0630280Z 
2022-11-23T01:32:38.0630341Z  
2022-11-23T01:32:38.0630512Z [2022-11-23 01:27:59,320] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0630584Z  - 
2022-11-23T01:32:38.0630705Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0630770Z             {
2022-11-23T01:32:38.0630914Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0631102Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.0631221Z                 'obj_weakref': None
2022-11-23T01:32:38.0631432Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0631500Z             }
2022-11-23T01:32:38.0631564Z             
2022-11-23T01:32:38.0631634Z  - 
2022-11-23T01:32:38.0631758Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0631825Z             {
2022-11-23T01:32:38.0631979Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0632072Z                 'code': None,
2022-11-23T01:32:38.0632284Z                 'obj_weakref': <weakref at 0x7f70f2d78bf0; to 'Tensor' at 0x7f71c1309170>
2022-11-23T01:32:38.0632537Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0632602Z             }
2022-11-23T01:32:38.0632669Z             
2022-11-23T01:32:38.0632741Z  - 
2022-11-23T01:32:38.0632874Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0632925Z             {
2022-11-23T01:32:38.0633061Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0633232Z                 'code': ['___check_obj_id(model, 140123418424240)'],
2022-11-23T01:32:38.0633351Z                 'obj_weakref': None
2022-11-23T01:32:38.0633579Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0633646Z             }
2022-11-23T01:32:38.0633709Z             
2022-11-23T01:32:38.0633766Z  - 
2022-11-23T01:32:38.0633888Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0633953Z             {
2022-11-23T01:32:38.0634090Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0634307Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0634425Z                 'obj_weakref': None
2022-11-23T01:32:38.0634645Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0634709Z             }
2022-11-23T01:32:38.0634760Z             
2022-11-23T01:32:38.0635020Z [2022-11-23 01:27:59,335] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 380
2022-11-23T01:32:38.0635386Z [2022-11-23 01:28:02,031] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k6/ck6w7qkc5spqlfccmk4r42zfgkoyngwlzvohueetofp6wrnjau22.py
2022-11-23T01:32:38.0635684Z [2022-11-23 01:28:02,032] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 380
2022-11-23T01:32:38.0635689Z 
2022-11-23T01:32:38.0635782Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0635852Z import torch
2022-11-23T01:32:38.0635922Z import random
2022-11-23T01:32:38.0636024Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0636148Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0636181Z 
2022-11-23T01:32:38.0636262Z aten = torch.ops.aten
2022-11-23T01:32:38.0636395Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0636486Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0636491Z 
2022-11-23T01:32:38.0636495Z 
2022-11-23T01:32:38.0636627Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0636831Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0636953Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.0637054Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.0637254Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:38.0637348Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:38.0637440Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:38.0637532Z                        float* __restrict__ out_ptr4)
2022-11-23T01:32:38.0637593Z {
2022-11-23T01:32:38.0637696Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0637758Z     {
2022-11-23T01:32:38.0637823Z         #pragma omp for 
2022-11-23T01:32:38.0637904Z         for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:38.0637968Z         {
2022-11-23T01:32:38.0638113Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.0638248Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:38.0638333Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.0638428Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.0638478Z         }
2022-11-23T01:32:38.0638572Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.0638662Z         for(long i0=1024; i0<1024; i0+=1)
2022-11-23T01:32:38.0638745Z         {
2022-11-23T01:32:38.0638829Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.0638927Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:38.0639014Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.0639083Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.0639144Z         }
2022-11-23T01:32:38.0639217Z         #pragma omp for 
2022-11-23T01:32:38.0639299Z         for(long i0=0; i0<128; i0+=1)
2022-11-23T01:32:38.0639360Z         {
2022-11-23T01:32:38.0639424Z             {
2022-11-23T01:32:38.0639477Z                 {
2022-11-23T01:32:38.0639556Z                     float tmp1 = 0;
2022-11-23T01:32:38.0639646Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:38.0639712Z                     {
2022-11-23T01:32:38.0639781Z                         {
2022-11-23T01:32:38.0639886Z                             auto tmp0 = out_ptr0[i1 + (8*i0)];
2022-11-23T01:32:38.0639970Z                             tmp1 += tmp0;
2022-11-23T01:32:38.0640026Z                         }
2022-11-23T01:32:38.0640092Z                     }
2022-11-23T01:32:38.0640175Z                     out_ptr1[i0] = tmp1;
2022-11-23T01:32:38.0640239Z                 }
2022-11-23T01:32:38.0640302Z             }
2022-11-23T01:32:38.0640369Z         }
2022-11-23T01:32:38.0640446Z         #pragma omp for 
2022-11-23T01:32:38.0640513Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.0640573Z         {
2022-11-23T01:32:38.0640707Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 16*i0);
2022-11-23T01:32:38.0640839Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(3));
2022-11-23T01:32:38.0640921Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.0641012Z             tmp2.store(out_ptr2 + 16*i0);
2022-11-23T01:32:38.0641125Z         }
2022-11-23T01:32:38.0641207Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.0641289Z         for(long i0=128; i0<128; i0+=1)
2022-11-23T01:32:38.0641350Z         {
2022-11-23T01:32:38.0641439Z             auto tmp0 = out_ptr1[i0];
2022-11-23T01:32:38.0641538Z             auto tmp1 = static_cast<float>(3);
2022-11-23T01:32:38.0641621Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.0641700Z             out_ptr2[i0] = tmp2;
2022-11-23T01:32:38.0641781Z         }
2022-11-23T01:32:38.0641859Z         #pragma omp for 
2022-11-23T01:32:38.0641940Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:38.0642003Z         {
2022-11-23T01:32:38.0642070Z             {
2022-11-23T01:32:38.0642135Z                 {
2022-11-23T01:32:38.0642215Z                     float tmp1 = 0;
2022-11-23T01:32:38.0642292Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:38.0642357Z                     {
2022-11-23T01:32:38.0642425Z                         {
2022-11-23T01:32:38.0642531Z                             auto tmp0 = out_ptr2[i1 + (8*i0)];
2022-11-23T01:32:38.0642611Z                             tmp1 += tmp0;
2022-11-23T01:32:38.0642679Z                         }
2022-11-23T01:32:38.0642746Z                     }
2022-11-23T01:32:38.0642816Z                     out_ptr3[i0] = tmp1;
2022-11-23T01:32:38.0642880Z                 }
2022-11-23T01:32:38.0642943Z             }
2022-11-23T01:32:38.0643005Z         }
2022-11-23T01:32:38.0643082Z         #pragma omp for 
2022-11-23T01:32:38.0643160Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:38.0643209Z         {
2022-11-23T01:32:38.0643340Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr3 + 16*i0);
2022-11-23T01:32:38.0643469Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(5));
2022-11-23T01:32:38.0643553Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.0643642Z             tmp2.store(out_ptr4 + 16*i0);
2022-11-23T01:32:38.0643707Z         }
2022-11-23T01:32:38.0643803Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.0643884Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:38.0643933Z         {
2022-11-23T01:32:38.0644015Z             auto tmp0 = out_ptr3[i0];
2022-11-23T01:32:38.0644113Z             auto tmp1 = static_cast<float>(5);
2022-11-23T01:32:38.0644195Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.0644273Z             out_ptr4[i0] = tmp2;
2022-11-23T01:32:38.0644335Z         }
2022-11-23T01:32:38.0644386Z     }
2022-11-23T01:32:38.0644446Z }
2022-11-23T01:32:38.0644526Z ''')
2022-11-23T01:32:38.0644531Z 
2022-11-23T01:32:38.0644535Z 
2022-11-23T01:32:38.0644625Z async_compile.wait(globals())
2022-11-23T01:32:38.0644696Z del async_compile
2022-11-23T01:32:38.0644701Z 
2022-11-23T01:32:38.0644771Z def call(args):
2022-11-23T01:32:38.0644839Z     arg0_1, = args
2022-11-23T01:32:38.0644910Z     args.clear()
2022-11-23T01:32:38.0645116Z     buf0 = empty_strided((1, 16, 8, 8), (1024, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0645323Z     buf1 = empty_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0645521Z     buf2 = empty_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0645714Z     buf3 = empty_strided((1, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0645906Z     buf4 = empty_strided((1, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0646145Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:38.0646214Z     del arg0_1
2022-11-23T01:32:38.0646311Z     return (buf4, buf3, buf2, buf1, buf0, )
2022-11-23T01:32:38.0646317Z 
2022-11-23T01:32:38.0646321Z 
2022-11-23T01:32:38.0646386Z if __name__ == "__main__":
2022-11-23T01:32:38.0646496Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0646617Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0646865Z     arg0_1 = rand_strided((1, 16, 8, 8), (1024, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0646973Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.0646979Z 
2022-11-23T01:32:38.0647044Z ok (2.755s)
2022-11-23T01:32:38.0647346Z   test_sum5_cpu (__main__.CpuTests) ... [2022-11-23 01:28:02,047] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0647642Z [2022-11-23 01:28:02,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0647851Z [2022-11-23 01:28:02,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0648102Z [2022-11-23 01:28:02,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0648386Z [2022-11-23 01:28:02,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0648709Z [2022-11-23 01:28:02,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0649034Z [2022-11-23 01:28:02,048] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f646c270, file "inductor/test_torchinductor.py", line 760> 
2022-11-23T01:32:38.0649127Z  761           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.0649220Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:38.0649293Z               4 BINARY_ADD
2022-11-23T01:32:38.0649384Z               6 STORE_FAST               1 (b)
2022-11-23T01:32:38.0649388Z 
2022-11-23T01:32:38.0649462Z 762           8 LOAD_FAST                1 (b)
2022-11-23T01:32:38.0649554Z              10 LOAD_METHOD              0 (sum)
2022-11-23T01:32:38.0649689Z              12 LOAD_CONST               2 (-1)
2022-11-23T01:32:38.0649776Z              14 CALL_METHOD              1
2022-11-23T01:32:38.0649867Z              16 STORE_FAST               2 (c)
2022-11-23T01:32:38.0649872Z 
2022-11-23T01:32:38.0649957Z 763          18 LOAD_FAST                2 (c)
2022-11-23T01:32:38.0650043Z              20 LOAD_CONST               3 (3)
2022-11-23T01:32:38.0650116Z              22 BINARY_ADD
2022-11-23T01:32:38.0650190Z              24 STORE_FAST               3 (d)
2022-11-23T01:32:38.0650195Z 
2022-11-23T01:32:38.0650278Z 764          26 LOAD_FAST                3 (d)
2022-11-23T01:32:38.0650372Z              28 LOAD_METHOD              0 (sum)
2022-11-23T01:32:38.0650506Z              30 LOAD_CONST               2 (-1)
2022-11-23T01:32:38.0650592Z              32 CALL_METHOD              1
2022-11-23T01:32:38.0650680Z              34 STORE_FAST               4 (e)
2022-11-23T01:32:38.0650684Z 
2022-11-23T01:32:38.0650769Z 765          36 LOAD_FAST                4 (e)
2022-11-23T01:32:38.0650842Z              38 LOAD_CONST               4 (5)
2022-11-23T01:32:38.0650913Z              40 BINARY_ADD
2022-11-23T01:32:38.0651001Z              42 STORE_FAST               5 (f)
2022-11-23T01:32:38.0651006Z 
2022-11-23T01:32:38.0651089Z 766          44 LOAD_FAST                5 (f)
2022-11-23T01:32:38.0651175Z              46 BUILD_TUPLE              1
2022-11-23T01:32:38.0651250Z              48 RETURN_VALUE
2022-11-23T01:32:38.0651312Z  
2022-11-23T01:32:38.0651317Z 
2022-11-23T01:32:38.0651586Z [2022-11-23 01:28:02,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:761
2022-11-23T01:32:38.0651783Z [2022-11-23 01:28:02,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.0652021Z [2022-11-23 01:28:02,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:38.0652303Z [2022-11-23 01:28:02,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0652539Z [2022-11-23 01:28:02,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()]
2022-11-23T01:32:38.0652833Z [2022-11-23 01:28:02,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:762
2022-11-23T01:32:38.0653041Z [2022-11-23 01:28:02,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b []
2022-11-23T01:32:38.0653279Z [2022-11-23 01:28:02,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:38.0653579Z [2022-11-23 01:28:02,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:38.0653895Z [2022-11-23 01:28:02,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:38.0654127Z [2022-11-23 01:28:02,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()]
2022-11-23T01:32:38.0654377Z [2022-11-23 01:28:02,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:763
2022-11-23T01:32:38.0654584Z [2022-11-23 01:28:02,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c []
2022-11-23T01:32:38.0654819Z [2022-11-23 01:28:02,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable()]
2022-11-23T01:32:38.0655098Z [2022-11-23 01:28:02,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0655332Z [2022-11-23 01:28:02,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()]
2022-11-23T01:32:38.0655592Z [2022-11-23 01:28:02,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:764
2022-11-23T01:32:38.0655803Z [2022-11-23 01:28:02,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d []
2022-11-23T01:32:38.0656040Z [2022-11-23 01:28:02,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()]
2022-11-23T01:32:38.0656315Z [2022-11-23 01:28:02,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:38.0656618Z [2022-11-23 01:28:02,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:38.0656851Z [2022-11-23 01:28:02,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [TensorVariable()]
2022-11-23T01:32:38.0657113Z [2022-11-23 01:28:02,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:765
2022-11-23T01:32:38.0657318Z [2022-11-23 01:28:02,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e []
2022-11-23T01:32:38.0657555Z [2022-11-23 01:28:02,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable()]
2022-11-23T01:32:38.0657834Z [2022-11-23 01:28:02,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0658065Z [2022-11-23 01:28:02,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST f [TensorVariable()]
2022-11-23T01:32:38.0658328Z [2022-11-23 01:28:02,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:766
2022-11-23T01:32:38.0658533Z [2022-11-23 01:28:02,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST f []
2022-11-23T01:32:38.0658758Z [2022-11-23 01:28:02,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.0659002Z [2022-11-23 01:28:02,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0659329Z [2022-11-23 01:28:02,061] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f646c270, file "inductor/test_torchinductor.py", line 760>
2022-11-23T01:32:38.0659572Z [2022-11-23 01:28:02,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0659803Z [2022-11-23 01:28:02,061] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0660082Z [2022-11-23 01:28:02,063] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0660329Z [2022-11-23 01:28:02,071] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0660516Z [2022-11-23 01:28:02,071] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0660693Z  __compiled_fn_389 <eval_with_key>.2408 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0660770Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0660941Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:38.0661071Z call_method, sum_1, sum, (add, -1), {}
2022-11-23T01:32:38.0661244Z call_function, add_1, <built-in function add>, (sum_1, 3), {}
2022-11-23T01:32:38.0661378Z call_method, sum_2, sum, (add_1, -1), {}
2022-11-23T01:32:38.0661548Z call_function, add_2, <built-in function add>, (sum_2, 5), {}
2022-11-23T01:32:38.0661645Z output, output, output, ((add_2,),), {}
2022-11-23T01:32:38.0661650Z 
2022-11-23T01:32:38.0661924Z [2022-11-23 01:28:02,072] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0662005Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0662095Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0662186Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0662277Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0662352Z               8 RETURN_VALUE
2022-11-23T01:32:38.0662357Z 
2022-11-23T01:32:38.0662417Z  
2022-11-23T01:32:38.0662688Z [2022-11-23 01:28:02,072] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0662783Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_389)
2022-11-23T01:32:38.0662872Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0662963Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0663039Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0663128Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.0663231Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.0663332Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0663420Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0663483Z              16 BINARY_SUBSCR
2022-11-23T01:32:38.0663573Z              18 BUILD_TUPLE              1
2022-11-23T01:32:38.0663647Z              20 RETURN_VALUE
2022-11-23T01:32:38.0663652Z 
2022-11-23T01:32:38.0663711Z  
2022-11-23T01:32:38.0663891Z [2022-11-23 01:28:02,074] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0663959Z  - 
2022-11-23T01:32:38.0664076Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0664128Z             {
2022-11-23T01:32:38.0664266Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0664530Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.0664655Z                 'obj_weakref': None
2022-11-23T01:32:38.0664880Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0664945Z             }
2022-11-23T01:32:38.0665008Z             
2022-11-23T01:32:38.0665064Z  - 
2022-11-23T01:32:38.0665186Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0665251Z             {
2022-11-23T01:32:38.0665391Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0665499Z                 'code': None,
2022-11-23T01:32:38.0665706Z                 'obj_weakref': <weakref at 0x7f710672ead0; to 'Tensor' at 0x7f7106de0fb0>
2022-11-23T01:32:38.0665952Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0666003Z             }
2022-11-23T01:32:38.0666065Z             
2022-11-23T01:32:38.0666168Z  - 
2022-11-23T01:32:38.0666297Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0666360Z             {
2022-11-23T01:32:38.0666497Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0666668Z                 'code': ['___check_obj_id(model, 140123421515648)'],
2022-11-23T01:32:38.0666775Z                 'obj_weakref': None
2022-11-23T01:32:38.0667004Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0667103Z             }
2022-11-23T01:32:38.0667168Z             
2022-11-23T01:32:38.0667238Z  - 
2022-11-23T01:32:38.0667360Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0667424Z             {
2022-11-23T01:32:38.0667545Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0667763Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0667882Z                 'obj_weakref': None
2022-11-23T01:32:38.0668100Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0668168Z             }
2022-11-23T01:32:38.0668231Z             
2022-11-23T01:32:38.0668491Z [2022-11-23 01:28:02,087] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 381
2022-11-23T01:32:38.0668856Z [2022-11-23 01:28:04,719] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bi/cbicmkvxhfry7zscrxbl5fxegoasyssxptqpfwavjjx5jfweeyy6.py
2022-11-23T01:32:38.0669125Z [2022-11-23 01:28:04,720] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 381
2022-11-23T01:32:38.0669130Z 
2022-11-23T01:32:38.0669224Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0669294Z import torch
2022-11-23T01:32:38.0669364Z import random
2022-11-23T01:32:38.0669481Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0669603Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0669608Z 
2022-11-23T01:32:38.0669690Z aten = torch.ops.aten
2022-11-23T01:32:38.0669813Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0669906Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0669912Z 
2022-11-23T01:32:38.0669917Z 
2022-11-23T01:32:38.0670049Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0670255Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0670377Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:38.0670484Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.0670585Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.0670649Z {
2022-11-23T01:32:38.0670722Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:32:38.0670820Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0670884Z     {
2022-11-23T01:32:38.0670961Z         #pragma omp for 
2022-11-23T01:32:38.0671045Z         for(long i0=0; i0<136; i0+=1)
2022-11-23T01:32:38.0671111Z         {
2022-11-23T01:32:38.0671176Z             {
2022-11-23T01:32:38.0671228Z                 {
2022-11-23T01:32:38.0671311Z                     float tmp3 = 0;
2022-11-23T01:32:38.0671402Z                     for(long i1=0; i1<9; i1+=1)
2022-11-23T01:32:38.0671469Z                     {
2022-11-23T01:32:38.0671538Z                         {
2022-11-23T01:32:38.0671643Z                             auto tmp0 = in_ptr0[i1 + (9*i0)];
2022-11-23T01:32:38.0671755Z                             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:38.0671839Z                             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.0671923Z                             tmp3 += tmp2;
2022-11-23T01:32:38.0671989Z                         }
2022-11-23T01:32:38.0672055Z                     }
2022-11-23T01:32:38.0672142Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:38.0672208Z                 }
2022-11-23T01:32:38.0672258Z             }
2022-11-23T01:32:38.0672322Z         }
2022-11-23T01:32:38.0672430Z         #pragma omp for 
2022-11-23T01:32:38.0672510Z         for(long i0=0; i0<17; i0+=1)
2022-11-23T01:32:38.0672574Z         {
2022-11-23T01:32:38.0672636Z             {
2022-11-23T01:32:38.0672700Z                 {
2022-11-23T01:32:38.0672767Z                     float tmp3 = 0;
2022-11-23T01:32:38.0672857Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:38.0672924Z                     {
2022-11-23T01:32:38.0672991Z                         {
2022-11-23T01:32:38.0673123Z                             auto tmp0 = out_ptr0[i1 + (8*i0)];
2022-11-23T01:32:38.0673229Z                             auto tmp1 = static_cast<float>(3);
2022-11-23T01:32:38.0673326Z                             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.0673396Z                             tmp3 += tmp2;
2022-11-23T01:32:38.0673465Z                         }
2022-11-23T01:32:38.0673528Z                     }
2022-11-23T01:32:38.0673612Z                     out_ptr1[i0] = tmp3;
2022-11-23T01:32:38.0673679Z                 }
2022-11-23T01:32:38.0673740Z             }
2022-11-23T01:32:38.0673801Z         }
2022-11-23T01:32:38.0673864Z         #pragma omp for 
2022-11-23T01:32:38.0673942Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:38.0674003Z         {
2022-11-23T01:32:38.0674143Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 16*i0);
2022-11-23T01:32:38.0674276Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(5));
2022-11-23T01:32:38.0674362Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.0674457Z             tmp2.store(in_out_ptr0 + 16*i0);
2022-11-23T01:32:38.0674506Z         }
2022-11-23T01:32:38.0674597Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.0674679Z         for(long i0=16; i0<17; i0+=1)
2022-11-23T01:32:38.0674741Z         {
2022-11-23T01:32:38.0674825Z             auto tmp0 = out_ptr1[i0];
2022-11-23T01:32:38.0674923Z             auto tmp1 = static_cast<float>(5);
2022-11-23T01:32:38.0675006Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.0675076Z             in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.0675137Z         }
2022-11-23T01:32:38.0675197Z     }
2022-11-23T01:32:38.0675256Z }
2022-11-23T01:32:38.0675333Z ''')
2022-11-23T01:32:38.0675338Z 
2022-11-23T01:32:38.0675342Z 
2022-11-23T01:32:38.0675431Z async_compile.wait(globals())
2022-11-23T01:32:38.0675503Z del async_compile
2022-11-23T01:32:38.0675508Z 
2022-11-23T01:32:38.0675565Z def call(args):
2022-11-23T01:32:38.0675634Z     arg0_1, = args
2022-11-23T01:32:38.0675705Z     args.clear()
2022-11-23T01:32:38.0675914Z     buf0 = empty_strided((1, 17, 8), (136, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0676108Z     buf1 = empty_strided((1, 17), (17, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0676191Z     buf2 = buf1; del buf1  # reuse
2022-11-23T01:32:38.0676354Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.0676411Z     del arg0_1
2022-11-23T01:32:38.0676483Z     return (buf2, )
2022-11-23T01:32:38.0676488Z 
2022-11-23T01:32:38.0676492Z 
2022-11-23T01:32:38.0676566Z if __name__ == "__main__":
2022-11-23T01:32:38.0676678Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0676798Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0677017Z     arg0_1 = rand_strided((1, 17, 8, 9), (1224, 72, 9, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0677250Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.0677255Z 
2022-11-23T01:32:38.0677322Z ok (2.684s)
2022-11-23T01:32:38.0677633Z   test_sum_dtype_cpu (__main__.CpuTests) ... [2022-11-23 01:28:04,733] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0677893Z [2022-11-23 01:28:04,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0678111Z [2022-11-23 01:28:04,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0678420Z [2022-11-23 01:28:04,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0678707Z [2022-11-23 01:28:04,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0679031Z [2022-11-23 01:28:04,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0679396Z [2022-11-23 01:28:04,734] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f646ced0, file "inductor/test_torchinductor.py", line 866> 
2022-11-23T01:32:38.0679490Z  867           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0679580Z               2 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0679673Z               4 LOAD_ATTR                0 (sum)
2022-11-23T01:32:38.0679797Z               6 LOAD_CONST               1 (-1)
2022-11-23T01:32:38.0679890Z               8 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:38.0679983Z              10 LOAD_ATTR                2 (double)
2022-11-23T01:32:38.0680128Z              12 LOAD_CONST               2 (('dtype',))
2022-11-23T01:32:38.0680217Z              14 CALL_FUNCTION_KW         2
2022-11-23T01:32:38.0680296Z              16 BINARY_MULTIPLY
2022-11-23T01:32:38.0680384Z              18 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0680461Z              20 LOAD_ATTR                0 (sum)
2022-11-23T01:32:38.0680555Z              22 LOAD_GLOBAL              1 (torch)
2022-11-23T01:32:38.0680644Z              24 LOAD_ATTR                2 (double)
2022-11-23T01:32:38.0680787Z              26 LOAD_CONST               2 (('dtype',))
2022-11-23T01:32:38.0680876Z              28 CALL_FUNCTION_KW         1
2022-11-23T01:32:38.0680948Z              30 BINARY_ADD
2022-11-23T01:32:38.0681026Z              32 RETURN_VALUE
2022-11-23T01:32:38.0681074Z  
2022-11-23T01:32:38.0681080Z 
2022-11-23T01:32:38.0681347Z [2022-11-23 01:28:04,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:867
2022-11-23T01:32:38.0681557Z [2022-11-23 01:28:04,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.0681791Z [2022-11-23 01:28:04,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:38.0682062Z [2022-11-23 01:28:04,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0682369Z [2022-11-23 01:28:04,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:38.0682715Z [2022-11-23 01:28:04,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:38.0683214Z [2022-11-23 01:28:04,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR double [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0683605Z [2022-11-23 01:28:04,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), ConstantVariable(dtype)]
2022-11-23T01:32:38.0684041Z [2022-11-23 01:28:04,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), ConstantVariable(dtype), ConstantVariable(tuple)]
2022-11-23T01:32:38.0684321Z [2022-11-23 01:28:04,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0684545Z [2022-11-23 01:28:04,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:38.0684810Z [2022-11-23 01:28:04,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0685147Z [2022-11-23 01:28:04,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:38.0685634Z [2022-11-23 01:28:04,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR double [TensorVariable(), GetAttrVariable(TensorVariable(), sum), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0685986Z [2022-11-23 01:28:04,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(dtype)]
2022-11-23T01:32:38.0686376Z [2022-11-23 01:28:04,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(dtype), ConstantVariable(tuple)]
2022-11-23T01:32:38.0686644Z [2022-11-23 01:28:04,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0686891Z [2022-11-23 01:28:04,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.0687218Z [2022-11-23 01:28:04,750] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f646ced0, file "inductor/test_torchinductor.py", line 866>
2022-11-23T01:32:38.0687462Z [2022-11-23 01:28:04,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.0687694Z [2022-11-23 01:28:04,750] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0687932Z [2022-11-23 01:28:04,753] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0688178Z [2022-11-23 01:28:04,762] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0688363Z [2022-11-23 01:28:04,763] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0688498Z  __compiled_fn_390 <eval_with_key>.2414 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0688588Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0688762Z call_method, sum_1, sum, (ex_0_, -1), {'dtype': torch.float64}
2022-11-23T01:32:38.0688939Z call_function, mul, <built-in function mul>, (ex_0_, sum_1), {}
2022-11-23T01:32:38.0689109Z call_method, sum_2, sum, (ex_0_,), {'dtype': torch.float64}
2022-11-23T01:32:38.0689274Z call_function, add, <built-in function add>, (mul, sum_2), {}
2022-11-23T01:32:38.0689369Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.0689374Z 
2022-11-23T01:32:38.0689648Z [2022-11-23 01:28:04,763] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0689741Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0689831Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0689922Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0690013Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0690088Z               8 RETURN_VALUE
2022-11-23T01:32:38.0690093Z 
2022-11-23T01:32:38.0690142Z  
2022-11-23T01:32:38.0690411Z [2022-11-23 01:28:04,764] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0690517Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_390)
2022-11-23T01:32:38.0690607Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0690696Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0690771Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0690858Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.0690935Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:38.0691009Z              12 RETURN_VALUE
2022-11-23T01:32:38.0691015Z 
2022-11-23T01:32:38.0691074Z  
2022-11-23T01:32:38.0691254Z [2022-11-23 01:28:04,801] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0691358Z  - 
2022-11-23T01:32:38.0691475Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0691539Z             {
2022-11-23T01:32:38.0691667Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0691853Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.0691971Z                 'obj_weakref': None
2022-11-23T01:32:38.0692224Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0692289Z             }
2022-11-23T01:32:38.0692351Z             
2022-11-23T01:32:38.0692419Z  - 
2022-11-23T01:32:38.0692532Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0692593Z             {
2022-11-23T01:32:38.0692733Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0692839Z                 'code': None,
2022-11-23T01:32:38.0693049Z                 'obj_weakref': <weakref at 0x7f70f2e3a770; to 'Tensor' at 0x7f70f2d7cc50>
2022-11-23T01:32:38.0693298Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0693361Z             }
2022-11-23T01:32:38.0693425Z             
2022-11-23T01:32:38.0693480Z  - 
2022-11-23T01:32:38.0693608Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0693670Z             {
2022-11-23T01:32:38.0693802Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0693973Z                 'code': ['___check_obj_id(model, 140123421514928)'],
2022-11-23T01:32:38.0694091Z                 'obj_weakref': None
2022-11-23T01:32:38.0694321Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0694371Z             }
2022-11-23T01:32:38.0694431Z             
2022-11-23T01:32:38.0694498Z  - 
2022-11-23T01:32:38.0694617Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0694679Z             {
2022-11-23T01:32:38.0694815Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0695019Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0695135Z                 'obj_weakref': None
2022-11-23T01:32:38.0695350Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0695412Z             }
2022-11-23T01:32:38.0695474Z             
2022-11-23T01:32:38.0695542Z  - 
2022-11-23T01:32:38.0695675Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.0695726Z             {
2022-11-23T01:32:38.0695843Z                 'guard_types': None,
2022-11-23T01:32:38.0695947Z                 'code': None,
2022-11-23T01:32:38.0696061Z                 'obj_weakref': None
2022-11-23T01:32:38.0696180Z                 'guarded_class': None
2022-11-23T01:32:38.0696240Z             }
2022-11-23T01:32:38.0696304Z             
2022-11-23T01:32:38.0696358Z  - 
2022-11-23T01:32:38.0696504Z             global 'torch.double' CONSTANT_MATCH
2022-11-23T01:32:38.0696568Z             {
2022-11-23T01:32:38.0696708Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.0696878Z                 'code': ["str(torch.double) == 'torch.float64'"],
2022-11-23T01:32:38.0696996Z                 'obj_weakref': None
2022-11-23T01:32:38.0697215Z                 'guarded_class': <weakref at 0x7f71931398f0; to 'type' at 0x7f71f278dc60 (dtype)>
2022-11-23T01:32:38.0697266Z             }
2022-11-23T01:32:38.0697328Z             
2022-11-23T01:32:38.0697588Z [2022-11-23 01:28:04,817] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 382
2022-11-23T01:32:38.0697960Z [2022-11-23 01:28:07,413] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lk/clk2snsasbdbcsoyklz5exqx2ofjjrpjkhjpmftxlqsvmbszvhao.py
2022-11-23T01:32:38.0698220Z [2022-11-23 01:28:07,414] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 382
2022-11-23T01:32:38.0698225Z 
2022-11-23T01:32:38.0698348Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0698416Z import torch
2022-11-23T01:32:38.0698484Z import random
2022-11-23T01:32:38.0698586Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0698705Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0698710Z 
2022-11-23T01:32:38.0698788Z aten = torch.ops.aten
2022-11-23T01:32:38.0698920Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0699039Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0699044Z 
2022-11-23T01:32:38.0699048Z 
2022-11-23T01:32:38.0699180Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0699382Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0699501Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.0699588Z                        double* __restrict__ out_ptr0,
2022-11-23T01:32:38.0699685Z                        double* __restrict__ out_ptr1,
2022-11-23T01:32:38.0699781Z                        double* __restrict__ out_ptr2)
2022-11-23T01:32:38.0699841Z {
2022-11-23T01:32:38.0699937Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0700000Z     {
2022-11-23T01:32:38.0700076Z         #pragma omp for 
2022-11-23T01:32:38.0700146Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:38.0700210Z         {
2022-11-23T01:32:38.0700273Z             {
2022-11-23T01:32:38.0700336Z                 {
2022-11-23T01:32:38.0700424Z                     double tmp2 = 0;
2022-11-23T01:32:38.0700515Z                     for(long i1=0; i1<32; i1+=1)
2022-11-23T01:32:38.0700580Z                     {
2022-11-23T01:32:38.0700635Z                         {
2022-11-23T01:32:38.0700739Z                             auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:32:38.0700852Z                             auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:32:38.0700933Z                             tmp2 += tmp1;
2022-11-23T01:32:38.0701002Z                         }
2022-11-23T01:32:38.0701070Z                     }
2022-11-23T01:32:38.0701155Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.0701207Z                 }
2022-11-23T01:32:38.0701269Z             }
2022-11-23T01:32:38.0701330Z         }
2022-11-23T01:32:38.0701390Z     }
2022-11-23T01:32:38.0701449Z     {
2022-11-23T01:32:38.0701510Z         {
2022-11-23T01:32:38.0701575Z             double tmp2 = 0;
2022-11-23T01:32:38.0701679Z             #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0701743Z             {
2022-11-23T01:32:38.0701845Z                 #pragma omp for reduction(+:tmp2) 
2022-11-23T01:32:38.0701934Z                 for(long i0=0; i0<1024; i0+=1)
2022-11-23T01:32:38.0701998Z                 {
2022-11-23T01:32:38.0702063Z                     {
2022-11-23T01:32:38.0702143Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.0702251Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:32:38.0702330Z                         tmp2 += tmp1;
2022-11-23T01:32:38.0702396Z                     }
2022-11-23T01:32:38.0702459Z                 }
2022-11-23T01:32:38.0702522Z             }
2022-11-23T01:32:38.0702599Z             out_ptr1[0] = tmp2;
2022-11-23T01:32:38.0702648Z         }
2022-11-23T01:32:38.0702709Z     }
2022-11-23T01:32:38.0702803Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0702863Z     {
2022-11-23T01:32:38.0702938Z         #pragma omp for 
2022-11-23T01:32:38.0703022Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:38.0703086Z         {
2022-11-23T01:32:38.0703152Z             #pragma GCC ivdep
2022-11-23T01:32:38.0703237Z             for(long i1=0; i1<32; i1+=1)
2022-11-23T01:32:38.0703301Z             {
2022-11-23T01:32:38.0703367Z                 {
2022-11-23T01:32:38.0703432Z                     {
2022-11-23T01:32:38.0703535Z                         auto tmp0 = in_ptr0[i1 + (32*i0)];
2022-11-23T01:32:38.0703618Z                         auto tmp2 = out_ptr0[i1];
2022-11-23T01:32:38.0703711Z                         auto tmp4 = out_ptr1[0];
2022-11-23T01:32:38.0703850Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:32:38.0703944Z                         auto tmp3 = tmp1 * tmp2;
2022-11-23T01:32:38.0704037Z                         auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:38.0704134Z                         out_ptr2[i1 + (32*i0)] = tmp5;
2022-11-23T01:32:38.0704202Z                     }
2022-11-23T01:32:38.0704268Z                 }
2022-11-23T01:32:38.0704392Z             }
2022-11-23T01:32:38.0704542Z         }
2022-11-23T01:32:38.0704608Z     }
2022-11-23T01:32:38.0704668Z }
2022-11-23T01:32:38.0704751Z ''')
2022-11-23T01:32:38.0704755Z 
2022-11-23T01:32:38.0704760Z 
2022-11-23T01:32:38.0704851Z async_compile.wait(globals())
2022-11-23T01:32:38.0704923Z del async_compile
2022-11-23T01:32:38.0704928Z 
2022-11-23T01:32:38.0704986Z def call(args):
2022-11-23T01:32:38.0705055Z     arg0_1, = args
2022-11-23T01:32:38.0705127Z     args.clear()
2022-11-23T01:32:38.0705329Z     buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.0705517Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.0705715Z     buf2 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.0705904Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:38.0705959Z     del arg0_1
2022-11-23T01:32:38.0706034Z     return (buf2, )
2022-11-23T01:32:38.0706039Z 
2022-11-23T01:32:38.0706043Z 
2022-11-23T01:32:38.0706121Z if __name__ == "__main__":
2022-11-23T01:32:38.0706234Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0706358Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0706559Z     arg0_1 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0706667Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.0706672Z 
2022-11-23T01:32:38.0706743Z ok (2.695s)
2022-11-23T01:32:38.0707035Z   test_sum_int_cpu (__main__.CpuTests) ... [2022-11-23 01:28:07,428] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0707307Z [2022-11-23 01:28:07,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0707527Z [2022-11-23 01:28:07,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0707782Z [2022-11-23 01:28:07,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0708072Z [2022-11-23 01:28:07,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0708397Z [2022-11-23 01:28:07,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0708726Z [2022-11-23 01:28:07,429] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f646cd20, file "inductor/test_torchinductor.py", line 857> 
2022-11-23T01:32:38.0708820Z  858           0 LOAD_CONST               1 (2)
2022-11-23T01:32:38.0708910Z               2 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0708992Z               4 LOAD_METHOD              0 (sum)
2022-11-23T01:32:38.0709129Z               6 LOAD_CONST               2 (-1)
2022-11-23T01:32:38.0709217Z               8 CALL_METHOD              1
2022-11-23T01:32:38.0709300Z              10 BINARY_MULTIPLY
2022-11-23T01:32:38.0709391Z              12 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0709483Z              14 LOAD_METHOD              0 (sum)
2022-11-23T01:32:38.0709571Z              16 CALL_METHOD              0
2022-11-23T01:32:38.0709631Z              18 BINARY_ADD
2022-11-23T01:32:38.0709709Z              20 RETURN_VALUE
2022-11-23T01:32:38.0709771Z  
2022-11-23T01:32:38.0709775Z 
2022-11-23T01:32:38.0710041Z [2022-11-23 01:28:07,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:858
2022-11-23T01:32:38.0710293Z [2022-11-23 01:28:07,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 []
2022-11-23T01:32:38.0710539Z [2022-11-23 01:28:07,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(int)]
2022-11-23T01:32:38.0710811Z [2022-11-23 01:28:07,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:38.0711161Z [2022-11-23 01:28:07,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:38.0711513Z [2022-11-23 01:28:07,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:38.0711792Z [2022-11-23 01:28:07,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:38.0712030Z [2022-11-23 01:28:07,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:38.0712294Z [2022-11-23 01:28:07,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0712597Z [2022-11-23 01:28:07,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:38.0712870Z [2022-11-23 01:28:07,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0713113Z [2022-11-23 01:28:07,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.0713442Z [2022-11-23 01:28:07,443] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f646cd20, file "inductor/test_torchinductor.py", line 857>
2022-11-23T01:32:38.0713684Z [2022-11-23 01:28:07,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.0713918Z [2022-11-23 01:28:07,443] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0714169Z [2022-11-23 01:28:07,445] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0714403Z [2022-11-23 01:28:07,454] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0714594Z [2022-11-23 01:28:07,455] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0714726Z  __compiled_fn_391 <eval_with_key>.2420 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0714815Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0714949Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:32:38.0715119Z call_function, mul, <built-in function mul>, (2, sum_1), {}
2022-11-23T01:32:38.0715208Z call_method, sum_2, sum, (ex_0_,), {}
2022-11-23T01:32:38.0715385Z call_function, add, <built-in function add>, (mul, sum_2), {}
2022-11-23T01:32:38.0715468Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.0715473Z 
2022-11-23T01:32:38.0715750Z [2022-11-23 01:28:07,455] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0715843Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0715933Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0716027Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0716114Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0716191Z               8 RETURN_VALUE
2022-11-23T01:32:38.0716196Z 
2022-11-23T01:32:38.0716255Z  
2022-11-23T01:32:38.0716513Z [2022-11-23 01:28:07,455] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0716620Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_391)
2022-11-23T01:32:38.0716709Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0716828Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0716903Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0716989Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.0717078Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:38.0717268Z              12 RETURN_VALUE
2022-11-23T01:32:38.0717274Z 
2022-11-23T01:32:38.0717332Z  
2022-11-23T01:32:38.0717565Z [2022-11-23 01:28:07,457] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0717637Z  - 
2022-11-23T01:32:38.0717755Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0717819Z             {
2022-11-23T01:32:38.0717960Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0718131Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.0718252Z                 'obj_weakref': None
2022-11-23T01:32:38.0718475Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0718542Z             }
2022-11-23T01:32:38.0718606Z             
2022-11-23T01:32:38.0718673Z  - 
2022-11-23T01:32:38.0718796Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0718845Z             {
2022-11-23T01:32:38.0718988Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0719095Z                 'code': None,
2022-11-23T01:32:38.0719313Z                 'obj_weakref': <weakref at 0x7f70f2d78a10; to 'Tensor' at 0x7f71c0d74bf0>
2022-11-23T01:32:38.0719562Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0719626Z             }
2022-11-23T01:32:38.0719689Z             
2022-11-23T01:32:38.0719745Z  - 
2022-11-23T01:32:38.0719874Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0719936Z             {
2022-11-23T01:32:38.0720070Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0720241Z                 'code': ['___check_obj_id(model, 140123094837728)'],
2022-11-23T01:32:38.0720360Z                 'obj_weakref': None
2022-11-23T01:32:38.0720587Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0720637Z             }
2022-11-23T01:32:38.0720698Z             
2022-11-23T01:32:38.0720766Z  - 
2022-11-23T01:32:38.0720886Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0720949Z             {
2022-11-23T01:32:38.0721083Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0721296Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0721400Z                 'obj_weakref': None
2022-11-23T01:32:38.0721614Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0721676Z             }
2022-11-23T01:32:38.0721737Z             
2022-11-23T01:32:38.0721997Z [2022-11-23 01:28:07,472] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 383
2022-11-23T01:32:38.0722362Z [2022-11-23 01:28:10,023] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j3/cj3eyjbooxyzsgi4j4b3p5y6ikbc6mt3uo3ptz4u2akdj3zdmffk.py
2022-11-23T01:32:38.0722624Z [2022-11-23 01:28:10,024] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 383
2022-11-23T01:32:38.0722861Z [2022-11-23 01:28:10,033] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0723118Z [2022-11-23 01:28:10,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0723333Z [2022-11-23 01:28:10,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0723580Z [2022-11-23 01:28:10,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0723863Z [2022-11-23 01:28:10,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0724221Z [2022-11-23 01:28:10,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0724546Z [2022-11-23 01:28:10,034] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f646cd20, file "inductor/test_torchinductor.py", line 857> 
2022-11-23T01:32:38.0724664Z  858           0 LOAD_CONST               1 (2)
2022-11-23T01:32:38.0724756Z               2 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0724848Z               4 LOAD_METHOD              0 (sum)
2022-11-23T01:32:38.0724972Z               6 LOAD_CONST               2 (-1)
2022-11-23T01:32:38.0725058Z               8 CALL_METHOD              1
2022-11-23T01:32:38.0725137Z              10 BINARY_MULTIPLY
2022-11-23T01:32:38.0725225Z              12 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0725318Z              14 LOAD_METHOD              0 (sum)
2022-11-23T01:32:38.0725405Z              16 CALL_METHOD              0
2022-11-23T01:32:38.0725477Z              18 BINARY_ADD
2022-11-23T01:32:38.0725540Z              20 RETURN_VALUE
2022-11-23T01:32:38.0725601Z  
2022-11-23T01:32:38.0725606Z 
2022-11-23T01:32:38.0725873Z [2022-11-23 01:28:10,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:858
2022-11-23T01:32:38.0726086Z [2022-11-23 01:28:10,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 []
2022-11-23T01:32:38.0726329Z [2022-11-23 01:28:10,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(int)]
2022-11-23T01:32:38.0726604Z [2022-11-23 01:28:10,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:38.0726917Z [2022-11-23 01:28:10,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:38.0727269Z [2022-11-23 01:28:10,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:38.0727560Z [2022-11-23 01:28:10,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:38.0727797Z [2022-11-23 01:28:10,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:38.0728053Z [2022-11-23 01:28:10,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0728356Z [2022-11-23 01:28:10,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:38.0728624Z [2022-11-23 01:28:10,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0728866Z [2022-11-23 01:28:10,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.0729197Z [2022-11-23 01:28:10,047] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f646cd20, file "inductor/test_torchinductor.py", line 857>
2022-11-23T01:32:38.0729439Z [2022-11-23 01:28:10,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.0729674Z [2022-11-23 01:28:10,047] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0729925Z [2022-11-23 01:28:10,049] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0730174Z [2022-11-23 01:28:10,059] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0730347Z [2022-11-23 01:28:10,059] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0730478Z  __compiled_fn_392 <eval_with_key>.2426 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0730603Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0730737Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:32:38.0730908Z call_function, mul, <built-in function mul>, (2, sum_1), {}
2022-11-23T01:32:38.0730997Z call_method, sum_2, sum, (ex_0_,), {}
2022-11-23T01:32:38.0731172Z call_function, add, <built-in function add>, (mul, sum_2), {}
2022-11-23T01:32:38.0731266Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.0731271Z 
2022-11-23T01:32:38.0731563Z [2022-11-23 01:28:10,060] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0731657Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0731748Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0731839Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0731928Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0732004Z               8 RETURN_VALUE
2022-11-23T01:32:38.0732012Z 
2022-11-23T01:32:38.0732074Z  
2022-11-23T01:32:38.0732348Z [2022-11-23 01:28:10,060] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0732442Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_392)
2022-11-23T01:32:38.0732531Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0732620Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0732696Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0732785Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.0732875Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:38.0732948Z              12 RETURN_VALUE
2022-11-23T01:32:38.0732953Z 
2022-11-23T01:32:38.0733000Z  
2022-11-23T01:32:38.0733181Z [2022-11-23 01:28:10,061] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0733249Z  - 
2022-11-23T01:32:38.0733367Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0733432Z             {
2022-11-23T01:32:38.0733573Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0733756Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.0733864Z                 'obj_weakref': None
2022-11-23T01:32:38.0734086Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0734149Z             }
2022-11-23T01:32:38.0734211Z             
2022-11-23T01:32:38.0734278Z  - 
2022-11-23T01:32:38.0734402Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0734467Z             {
2022-11-23T01:32:38.0734596Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0734700Z                 'code': None,
2022-11-23T01:32:38.0734910Z                 'obj_weakref': <weakref at 0x7f70f28da5f0; to 'Tensor' at 0x7f71c0d74e30>
2022-11-23T01:32:38.0735159Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0735222Z             }
2022-11-23T01:32:38.0735288Z             
2022-11-23T01:32:38.0735356Z  - 
2022-11-23T01:32:38.0735474Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0735535Z             {
2022-11-23T01:32:38.0735668Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0735836Z                 'code': ['___check_obj_id(model, 140123094837728)'],
2022-11-23T01:32:38.0735953Z                 'obj_weakref': None
2022-11-23T01:32:38.0736181Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0736244Z             }
2022-11-23T01:32:38.0736294Z             
2022-11-23T01:32:38.0736361Z  - 
2022-11-23T01:32:38.0736481Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0736542Z             {
2022-11-23T01:32:38.0736677Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0736891Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0737008Z                 'obj_weakref': None
2022-11-23T01:32:38.0737243Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0737304Z             }
2022-11-23T01:32:38.0737366Z             
2022-11-23T01:32:38.0737622Z [2022-11-23 01:28:10,077] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 384
2022-11-23T01:32:38.0738033Z [2022-11-23 01:28:12,694] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zg/czgugddrbdf7i6sdgrbb67pb3y5aorhxdbqosrwter4k2gvq3fxu.py
2022-11-23T01:32:38.0738298Z [2022-11-23 01:28:12,695] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 384
2022-11-23T01:32:38.0738533Z [2022-11-23 01:28:12,704] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0738799Z [2022-11-23 01:28:12,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0739015Z [2022-11-23 01:28:12,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0739254Z [2022-11-23 01:28:12,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0739535Z [2022-11-23 01:28:12,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0739856Z [2022-11-23 01:28:12,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0740181Z [2022-11-23 01:28:12,705] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f646cd20, file "inductor/test_torchinductor.py", line 857> 
2022-11-23T01:32:38.0740272Z  858           0 LOAD_CONST               1 (2)
2022-11-23T01:32:38.0740363Z               2 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0740458Z               4 LOAD_METHOD              0 (sum)
2022-11-23T01:32:38.0740593Z               6 LOAD_CONST               2 (-1)
2022-11-23T01:32:38.0740670Z               8 CALL_METHOD              1
2022-11-23T01:32:38.0740750Z              10 BINARY_MULTIPLY
2022-11-23T01:32:38.0740842Z              12 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0740935Z              14 LOAD_METHOD              0 (sum)
2022-11-23T01:32:38.0741020Z              16 CALL_METHOD              0
2022-11-23T01:32:38.0741094Z              18 BINARY_ADD
2022-11-23T01:32:38.0741171Z              20 RETURN_VALUE
2022-11-23T01:32:38.0741218Z  
2022-11-23T01:32:38.0741224Z 
2022-11-23T01:32:38.0741490Z [2022-11-23 01:28:12,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:858
2022-11-23T01:32:38.0741698Z [2022-11-23 01:28:12,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 []
2022-11-23T01:32:38.0741942Z [2022-11-23 01:28:12,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(int)]
2022-11-23T01:32:38.0742215Z [2022-11-23 01:28:12,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:38.0742528Z [2022-11-23 01:28:12,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:38.0742878Z [2022-11-23 01:28:12,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:38.0743168Z [2022-11-23 01:28:12,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:38.0743405Z [2022-11-23 01:28:12,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:38.0743669Z [2022-11-23 01:28:12,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0743963Z [2022-11-23 01:28:12,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:38.0744260Z [2022-11-23 01:28:12,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0744593Z [2022-11-23 01:28:12,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.0744962Z [2022-11-23 01:28:12,718] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f646cd20, file "inductor/test_torchinductor.py", line 857>
2022-11-23T01:32:38.0745207Z [2022-11-23 01:28:12,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.0745438Z [2022-11-23 01:28:12,718] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0745688Z [2022-11-23 01:28:12,720] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0745938Z [2022-11-23 01:28:12,730] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0746131Z [2022-11-23 01:28:12,731] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0746252Z  __compiled_fn_393 <eval_with_key>.2432 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0746341Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0746477Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:32:38.0746653Z call_function, mul, <built-in function mul>, (2, sum_1), {}
2022-11-23T01:32:38.0746742Z call_method, sum_2, sum, (ex_0_,), {}
2022-11-23T01:32:38.0746917Z call_function, add, <built-in function add>, (mul, sum_2), {}
2022-11-23T01:32:38.0747011Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.0747016Z 
2022-11-23T01:32:38.0747293Z [2022-11-23 01:28:12,731] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0747373Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0747464Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0747554Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0747644Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0747721Z               8 RETURN_VALUE
2022-11-23T01:32:38.0747726Z 
2022-11-23T01:32:38.0747787Z  
2022-11-23T01:32:38.0748058Z [2022-11-23 01:28:12,731] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0748168Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_393)
2022-11-23T01:32:38.0748243Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0748331Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0748408Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0748497Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.0748588Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:38.0748664Z              12 RETURN_VALUE
2022-11-23T01:32:38.0748671Z 
2022-11-23T01:32:38.0748733Z  
2022-11-23T01:32:38.0748901Z [2022-11-23 01:28:12,733] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0748971Z  - 
2022-11-23T01:32:38.0749090Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0749155Z             {
2022-11-23T01:32:38.0749297Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0749482Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.0749610Z                 'obj_weakref': None
2022-11-23T01:32:38.0749820Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0749889Z             }
2022-11-23T01:32:38.0749953Z             
2022-11-23T01:32:38.0750025Z  - 
2022-11-23T01:32:38.0750149Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0750211Z             {
2022-11-23T01:32:38.0750355Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0750449Z                 'code': None,
2022-11-23T01:32:38.0750691Z                 'obj_weakref': <weakref at 0x7f70f28dac50; to 'Tensor' at 0x7f71c0da4650>
2022-11-23T01:32:38.0750940Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0751005Z             }
2022-11-23T01:32:38.0751069Z             
2022-11-23T01:32:38.0751161Z  - 
2022-11-23T01:32:38.0751293Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0751343Z             {
2022-11-23T01:32:38.0751519Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0751690Z                 'code': ['___check_obj_id(model, 140123094837728)'],
2022-11-23T01:32:38.0751808Z                 'obj_weakref': None
2022-11-23T01:32:38.0752039Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0752103Z             }
2022-11-23T01:32:38.0752168Z             
2022-11-23T01:32:38.0752224Z  - 
2022-11-23T01:32:38.0752346Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0752411Z             {
2022-11-23T01:32:38.0752550Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0752766Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0752884Z                 'obj_weakref': None
2022-11-23T01:32:38.0753101Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0753151Z             }
2022-11-23T01:32:38.0753216Z             
2022-11-23T01:32:38.0753477Z [2022-11-23 01:28:12,749] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 385
2022-11-23T01:32:38.0753849Z [2022-11-23 01:28:15,323] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bv/cbvsdfrthjbxqvoxjb4v4muu4dugyfznfg7q354nj7gdgwkrnykx.py
2022-11-23T01:32:38.0754114Z [2022-11-23 01:28:15,323] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 385
2022-11-23T01:32:38.0754122Z 
2022-11-23T01:32:38.0754216Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0754285Z import torch
2022-11-23T01:32:38.0754355Z import random
2022-11-23T01:32:38.0754457Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0754578Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0754584Z 
2022-11-23T01:32:38.0754662Z aten = torch.ops.aten
2022-11-23T01:32:38.0754798Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0754889Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0754894Z 
2022-11-23T01:32:38.0754899Z 
2022-11-23T01:32:38.0755030Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0755234Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0755353Z extern "C" void kernel(long* __restrict__ in_out_ptr0,
2022-11-23T01:32:38.0755444Z                        const bool* __restrict__ in_ptr0,
2022-11-23T01:32:38.0755542Z                        long* __restrict__ out_ptr1)
2022-11-23T01:32:38.0755604Z {
2022-11-23T01:32:38.0755689Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T01:32:38.0755753Z     {
2022-11-23T01:32:38.0755816Z         {
2022-11-23T01:32:38.0755891Z             long tmp2 = 0;
2022-11-23T01:32:38.0755952Z             long tmp3 = 0;
2022-11-23T01:32:38.0756059Z             #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0756121Z             {
2022-11-23T01:32:38.0756250Z                 #pragma omp for reduction(+:tmp2) reduction(+:tmp3) 
2022-11-23T01:32:38.0756338Z                 for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:38.0756402Z                 {
2022-11-23T01:32:38.0756468Z                     {
2022-11-23T01:32:38.0756550Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.0756657Z                         auto tmp1 = static_cast<long>(tmp0);
2022-11-23T01:32:38.0756737Z                         tmp2 += tmp1;
2022-11-23T01:32:38.0756814Z                         tmp3 += tmp1;
2022-11-23T01:32:38.0756909Z                     }
2022-11-23T01:32:38.0756972Z                 }
2022-11-23T01:32:38.0757033Z             }
2022-11-23T01:32:38.0757098Z             out_ptr0[0] = tmp2;
2022-11-23T01:32:38.0757316Z             out_ptr1[0] = tmp3;
2022-11-23T01:32:38.0757380Z         }
2022-11-23T01:32:38.0757442Z     }
2022-11-23T01:32:38.0757504Z     {
2022-11-23T01:32:38.0757565Z         {
2022-11-23T01:32:38.0757638Z             auto tmp0 = out_ptr0[0];
2022-11-23T01:32:38.0757769Z             auto tmp3 = out_ptr1[0];
2022-11-23T01:32:38.0757866Z             auto tmp1 = static_cast<long>(2);
2022-11-23T01:32:38.0757948Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.0758029Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.0758109Z             in_out_ptr0[0] = tmp4;
2022-11-23T01:32:38.0758170Z         }
2022-11-23T01:32:38.0758218Z     }
2022-11-23T01:32:38.0758277Z }
2022-11-23T01:32:38.0758357Z ''')
2022-11-23T01:32:38.0758362Z 
2022-11-23T01:32:38.0758367Z 
2022-11-23T01:32:38.0758458Z async_compile.wait(globals())
2022-11-23T01:32:38.0758531Z del async_compile
2022-11-23T01:32:38.0758536Z 
2022-11-23T01:32:38.0758605Z def call(args):
2022-11-23T01:32:38.0758675Z     arg0_1, = args
2022-11-23T01:32:38.0758733Z     args.clear()
2022-11-23T01:32:38.0758917Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:38.0759094Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:38.0759182Z     buf2 = buf0; del buf0  # reuse
2022-11-23T01:32:38.0759343Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:38.0759411Z     del arg0_1
2022-11-23T01:32:38.0759482Z     return (buf2, )
2022-11-23T01:32:38.0759487Z 
2022-11-23T01:32:38.0759492Z 
2022-11-23T01:32:38.0759565Z if __name__ == "__main__":
2022-11-23T01:32:38.0759666Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0759788Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0759978Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:38.0760084Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.0760089Z 
2022-11-23T01:32:38.0760093Z 
2022-11-23T01:32:38.0760185Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0760253Z import torch
2022-11-23T01:32:38.0760322Z import random
2022-11-23T01:32:38.0760439Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0760548Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0760553Z 
2022-11-23T01:32:38.0760629Z aten = torch.ops.aten
2022-11-23T01:32:38.0760760Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0760850Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0760854Z 
2022-11-23T01:32:38.0760859Z 
2022-11-23T01:32:38.0760989Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0761192Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0761306Z extern "C" void kernel(long* __restrict__ in_out_ptr0,
2022-11-23T01:32:38.0761419Z                        const unsigned char* __restrict__ in_ptr0,
2022-11-23T01:32:38.0761502Z                        long* __restrict__ out_ptr1)
2022-11-23T01:32:38.0761562Z {
2022-11-23T01:32:38.0761646Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T01:32:38.0761707Z     {
2022-11-23T01:32:38.0761770Z         {
2022-11-23T01:32:38.0761845Z             long tmp2 = 0;
2022-11-23T01:32:38.0761908Z             long tmp3 = 0;
2022-11-23T01:32:38.0762011Z             #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0762073Z             {
2022-11-23T01:32:38.0762198Z                 #pragma omp for reduction(+:tmp2) reduction(+:tmp3) 
2022-11-23T01:32:38.0762287Z                 for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:38.0762351Z                 {
2022-11-23T01:32:38.0762417Z                     {
2022-11-23T01:32:38.0762499Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.0762644Z                         auto tmp1 = static_cast<long>(tmp0);
2022-11-23T01:32:38.0762722Z                         tmp2 += tmp1;
2022-11-23T01:32:38.0762798Z                         tmp3 += tmp1;
2022-11-23T01:32:38.0762862Z                     }
2022-11-23T01:32:38.0762926Z                 }
2022-11-23T01:32:38.0762987Z             }
2022-11-23T01:32:38.0763054Z             out_ptr0[0] = tmp2;
2022-11-23T01:32:38.0763128Z             out_ptr1[0] = tmp3;
2022-11-23T01:32:38.0763214Z         }
2022-11-23T01:32:38.0763276Z     }
2022-11-23T01:32:38.0763336Z     {
2022-11-23T01:32:38.0763397Z         {
2022-11-23T01:32:38.0763480Z             auto tmp0 = out_ptr0[0];
2022-11-23T01:32:38.0763549Z             auto tmp3 = out_ptr1[0];
2022-11-23T01:32:38.0763647Z             auto tmp1 = static_cast<long>(2);
2022-11-23T01:32:38.0763730Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.0763810Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.0763890Z             in_out_ptr0[0] = tmp4;
2022-11-23T01:32:38.0763955Z         }
2022-11-23T01:32:38.0764017Z     }
2022-11-23T01:32:38.0764063Z }
2022-11-23T01:32:38.0764145Z ''')
2022-11-23T01:32:38.0764149Z 
2022-11-23T01:32:38.0764154Z 
2022-11-23T01:32:38.0764240Z async_compile.wait(globals())
2022-11-23T01:32:38.0764311Z del async_compile
2022-11-23T01:32:38.0764316Z 
2022-11-23T01:32:38.0764386Z def call(args):
2022-11-23T01:32:38.0764454Z     arg0_1, = args
2022-11-23T01:32:38.0764524Z     args.clear()
2022-11-23T01:32:38.0764696Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:38.0764872Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:38.0764955Z     buf2 = buf0; del buf0  # reuse
2022-11-23T01:32:38.0765115Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:38.0765182Z     del arg0_1
2022-11-23T01:32:38.0765253Z     return (buf2, )
2022-11-23T01:32:38.0765258Z 
2022-11-23T01:32:38.0765262Z 
2022-11-23T01:32:38.0765337Z if __name__ == "__main__":
2022-11-23T01:32:38.0765449Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0765558Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0765746Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.uint8)
2022-11-23T01:32:38.0765852Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.0765857Z 
2022-11-23T01:32:38.0765861Z 
2022-11-23T01:32:38.0765956Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0766024Z import torch
2022-11-23T01:32:38.0766092Z import random
2022-11-23T01:32:38.0766205Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0766311Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0766328Z 
2022-11-23T01:32:38.0766392Z aten = torch.ops.aten
2022-11-23T01:32:38.0766522Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0766612Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0766617Z 
2022-11-23T01:32:38.0766623Z 
2022-11-23T01:32:38.0766757Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0766957Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0767070Z extern "C" void kernel(long* __restrict__ in_out_ptr0,
2022-11-23T01:32:38.0767170Z                        const int* __restrict__ in_ptr0,
2022-11-23T01:32:38.0767267Z                        long* __restrict__ out_ptr1)
2022-11-23T01:32:38.0767314Z {
2022-11-23T01:32:38.0767399Z     auto out_ptr0 = in_out_ptr0;
2022-11-23T01:32:38.0767462Z     {
2022-11-23T01:32:38.0767525Z         {
2022-11-23T01:32:38.0767600Z             long tmp2 = 0;
2022-11-23T01:32:38.0767675Z             long tmp3 = 0;
2022-11-23T01:32:38.0767766Z             #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0767827Z             {
2022-11-23T01:32:38.0767951Z                 #pragma omp for reduction(+:tmp2) reduction(+:tmp3) 
2022-11-23T01:32:38.0768040Z                 for(long i0=0; i0<64; i0+=1)
2022-11-23T01:32:38.0768134Z                 {
2022-11-23T01:32:38.0768199Z                     {
2022-11-23T01:32:38.0768292Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.0768387Z                         auto tmp1 = static_cast<long>(tmp0);
2022-11-23T01:32:38.0768464Z                         tmp2 += tmp1;
2022-11-23T01:32:38.0768539Z                         tmp3 += tmp1;
2022-11-23T01:32:38.0768604Z                     }
2022-11-23T01:32:38.0768696Z                 }
2022-11-23T01:32:38.0768758Z             }
2022-11-23T01:32:38.0768836Z             out_ptr0[0] = tmp2;
2022-11-23T01:32:38.0768898Z             out_ptr1[0] = tmp3;
2022-11-23T01:32:38.0768958Z         }
2022-11-23T01:32:38.0769019Z     }
2022-11-23T01:32:38.0769078Z     {
2022-11-23T01:32:38.0769141Z         {
2022-11-23T01:32:38.0769223Z             auto tmp0 = out_ptr0[0];
2022-11-23T01:32:38.0769291Z             auto tmp3 = out_ptr1[0];
2022-11-23T01:32:38.0769388Z             auto tmp1 = static_cast<long>(2);
2022-11-23T01:32:38.0769474Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.0769554Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.0769634Z             in_out_ptr0[0] = tmp4;
2022-11-23T01:32:38.0769695Z         }
2022-11-23T01:32:38.0769755Z     }
2022-11-23T01:32:38.0769801Z }
2022-11-23T01:32:38.0769880Z ''')
2022-11-23T01:32:38.0769885Z 
2022-11-23T01:32:38.0769889Z 
2022-11-23T01:32:38.0769977Z async_compile.wait(globals())
2022-11-23T01:32:38.0770054Z del async_compile
2022-11-23T01:32:38.0770061Z 
2022-11-23T01:32:38.0770130Z def call(args):
2022-11-23T01:32:38.0770200Z     arg0_1, = args
2022-11-23T01:32:38.0770270Z     args.clear()
2022-11-23T01:32:38.0770449Z     buf0 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:38.0770612Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:38.0770698Z     buf2 = buf0; del buf0  # reuse
2022-11-23T01:32:38.0770858Z     kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:38.0770928Z     del arg0_1
2022-11-23T01:32:38.0770998Z     return (buf2, )
2022-11-23T01:32:38.0771003Z 
2022-11-23T01:32:38.0771007Z 
2022-11-23T01:32:38.0771082Z if __name__ == "__main__":
2022-11-23T01:32:38.0771194Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0771303Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0771498Z     arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:38.0771605Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.0771610Z 
2022-11-23T01:32:38.0771675Z ok (7.907s)
2022-11-23T01:32:38.0771991Z   test_sum_keepdims_cpu (__main__.CpuTests) ... [2022-11-23 01:28:15,336] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0772260Z [2022-11-23 01:28:15,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0772475Z [2022-11-23 01:28:15,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0772728Z [2022-11-23 01:28:15,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0773010Z [2022-11-23 01:28:15,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0773320Z [2022-11-23 01:28:15,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0773648Z [2022-11-23 01:28:15,337] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f647b420, file "inductor/test_torchinductor.py", line 1224> 
2022-11-23T01:32:38.0773743Z  1225           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0773834Z                2 LOAD_ATTR                1 (sum)
2022-11-23T01:32:38.0773923Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:38.0774045Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:38.0774118Z                8 BINARY_ADD
2022-11-23T01:32:38.0774257Z               10 LOAD_CONST               1 (-1)
2022-11-23T01:32:38.0774336Z               12 LOAD_CONST               2 (True)
2022-11-23T01:32:38.0774483Z               14 LOAD_CONST               3 (('keepdim',))
2022-11-23T01:32:38.0774574Z               16 CALL_FUNCTION_KW         3
2022-11-23T01:32:38.0774662Z               18 BUILD_TUPLE              1
2022-11-23T01:32:38.0774764Z               20 RETURN_VALUE
2022-11-23T01:32:38.0774825Z  
2022-11-23T01:32:38.0774830Z 
2022-11-23T01:32:38.0775097Z [2022-11-23 01:28:15,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1225
2022-11-23T01:32:38.0775313Z [2022-11-23 01:28:15,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.0775662Z [2022-11-23 01:28:15,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0775981Z [2022-11-23 01:28:15,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method sum of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.0776321Z [2022-11-23 01:28:15,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(<built-in method sum of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.0776701Z [2022-11-23 01:28:15,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method sum of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0777047Z [2022-11-23 01:28:15,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method sum of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.0777436Z [2022-11-23 01:28:15,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(<built-in method sum of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0777876Z [2022-11-23 01:28:15,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TorchVariable(<built-in method sum of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)]
2022-11-23T01:32:38.0778350Z [2022-11-23 01:28:15,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(<built-in method sum of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)]
2022-11-23T01:32:38.0778590Z [2022-11-23 01:28:15,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.0778835Z [2022-11-23 01:28:15,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0779162Z [2022-11-23 01:28:15,345] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f647b420, file "inductor/test_torchinductor.py", line 1224>
2022-11-23T01:32:38.0779408Z [2022-11-23 01:28:15,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0779630Z [2022-11-23 01:28:15,346] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0779883Z [2022-11-23 01:28:15,348] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0780128Z [2022-11-23 01:28:15,356] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0780318Z [2022-11-23 01:28:15,356] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0780454Z  __compiled_fn_394 <eval_with_key>.2438 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0780542Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0780629Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.0780805Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.0781070Z call_function, sum_1, <built-in method sum of type object at 0x7f71f2abebc0>, (add, -1), {'keepdim': True}
2022-11-23T01:32:38.0781164Z output, output, output, ((sum_1,),), {}
2022-11-23T01:32:38.0781169Z 
2022-11-23T01:32:38.0781444Z [2022-11-23 01:28:15,357] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0781537Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0781655Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0781748Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0781840Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0781916Z               8 RETURN_VALUE
2022-11-23T01:32:38.0781922Z 
2022-11-23T01:32:38.0781970Z  
2022-11-23T01:32:38.0782242Z [2022-11-23 01:28:15,357] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0782350Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_394)
2022-11-23T01:32:38.0782439Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0782527Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0782603Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0782691Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0782777Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0782839Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.0782927Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.0783033Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.0783136Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0783226Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0783304Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.0783392Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.0783453Z              26 RETURN_VALUE
2022-11-23T01:32:38.0783460Z 
2022-11-23T01:32:38.0783521Z  
2022-11-23T01:32:38.0783704Z [2022-11-23 01:28:15,359] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0783778Z  - 
2022-11-23T01:32:38.0783901Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0783966Z             {
2022-11-23T01:32:38.0784106Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0784277Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.0784398Z                 'obj_weakref': None
2022-11-23T01:32:38.0784741Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0784808Z             }
2022-11-23T01:32:38.0784872Z             
2022-11-23T01:32:38.0784942Z  - 
2022-11-23T01:32:38.0785066Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0785117Z             {
2022-11-23T01:32:38.0785259Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0785366Z                 'code': None,
2022-11-23T01:32:38.0785577Z                 'obj_weakref': <weakref at 0x7f70f2786a70; to 'Tensor' at 0x7f7106c60b30>
2022-11-23T01:32:38.0785826Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0785893Z             }
2022-11-23T01:32:38.0785958Z             
2022-11-23T01:32:38.0786013Z  - 
2022-11-23T01:32:38.0786137Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.0786200Z             {
2022-11-23T01:32:38.0786344Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0786454Z                 'code': None,
2022-11-23T01:32:38.0786663Z                 'obj_weakref': <weakref at 0x7f70f2786c50; to 'Tensor' at 0x7f70f2d78470>
2022-11-23T01:32:38.0786913Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0786962Z             }
2022-11-23T01:32:38.0787026Z             
2022-11-23T01:32:38.0787138Z  - 
2022-11-23T01:32:38.0787267Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0787332Z             {
2022-11-23T01:32:38.0787465Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0787638Z                 'code': ['___check_obj_id(model, 140123413981952)'],
2022-11-23T01:32:38.0787744Z                 'obj_weakref': None
2022-11-23T01:32:38.0787972Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0788066Z             }
2022-11-23T01:32:38.0788130Z             
2022-11-23T01:32:38.0788201Z  - 
2022-11-23T01:32:38.0788322Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0788383Z             {
2022-11-23T01:32:38.0788507Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0788723Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0788842Z                 'obj_weakref': None
2022-11-23T01:32:38.0789062Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0789127Z             }
2022-11-23T01:32:38.0789189Z             
2022-11-23T01:32:38.0789257Z  - 
2022-11-23T01:32:38.0789377Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.0789442Z             {
2022-11-23T01:32:38.0789560Z                 'guard_types': None,
2022-11-23T01:32:38.0789663Z                 'code': None,
2022-11-23T01:32:38.0789780Z                 'obj_weakref': None
2022-11-23T01:32:38.0789902Z                 'guarded_class': None
2022-11-23T01:32:38.0789963Z             }
2022-11-23T01:32:38.0790012Z             
2022-11-23T01:32:38.0790272Z [2022-11-23 01:28:15,372] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 386
2022-11-23T01:32:38.0790640Z [2022-11-23 01:28:15,390] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/aj/caj27d7vlfwvfzf2fkxbtz2jsamjvqf7vddnnyye7q7bccnl3n7j.py
2022-11-23T01:32:38.0790901Z [2022-11-23 01:28:15,390] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 386
2022-11-23T01:32:38.0790909Z 
2022-11-23T01:32:38.0791002Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0791070Z import torch
2022-11-23T01:32:38.0791138Z import random
2022-11-23T01:32:38.0791251Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0791359Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0791365Z 
2022-11-23T01:32:38.0791444Z aten = torch.ops.aten
2022-11-23T01:32:38.0791576Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0791669Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0791674Z 
2022-11-23T01:32:38.0791678Z 
2022-11-23T01:32:38.0791811Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0792014Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0792133Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.0792238Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.0792323Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.0792384Z {
2022-11-23T01:32:38.0792480Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0792541Z     {
2022-11-23T01:32:38.0792616Z         #pragma omp for 
2022-11-23T01:32:38.0792696Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.0792757Z         {
2022-11-23T01:32:38.0792807Z             {
2022-11-23T01:32:38.0792871Z                 {
2022-11-23T01:32:38.0792949Z                     float tmp3 = 0;
2022-11-23T01:32:38.0793039Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:38.0793104Z                     {
2022-11-23T01:32:38.0793172Z                         {
2022-11-23T01:32:38.0793262Z                             auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:38.0793363Z                             auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:32:38.0793458Z                             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.0793569Z                             tmp3 += tmp2;
2022-11-23T01:32:38.0793636Z                         }
2022-11-23T01:32:38.0793701Z                     }
2022-11-23T01:32:38.0793784Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:38.0793836Z                 }
2022-11-23T01:32:38.0793898Z             }
2022-11-23T01:32:38.0793960Z         }
2022-11-23T01:32:38.0794023Z     }
2022-11-23T01:32:38.0794081Z }
2022-11-23T01:32:38.0794158Z ''')
2022-11-23T01:32:38.0794203Z 
2022-11-23T01:32:38.0794208Z 
2022-11-23T01:32:38.0794297Z async_compile.wait(globals())
2022-11-23T01:32:38.0794356Z del async_compile
2022-11-23T01:32:38.0794372Z 
2022-11-23T01:32:38.0794428Z def call(args):
2022-11-23T01:32:38.0794500Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.0794570Z     args.clear()
2022-11-23T01:32:38.0794765Z     buf0 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0794927Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.0794996Z     del arg0_1
2022-11-23T01:32:38.0795061Z     del arg1_1
2022-11-23T01:32:38.0795119Z     return (buf0, )
2022-11-23T01:32:38.0795124Z 
2022-11-23T01:32:38.0795128Z 
2022-11-23T01:32:38.0795205Z if __name__ == "__main__":
2022-11-23T01:32:38.0795317Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0795441Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0795639Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0795831Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0795944Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.0795949Z 
2022-11-23T01:32:38.0796015Z ok (0.066s)
2022-11-23T01:32:38.0796303Z   test_tanh_cpu (__main__.CpuTests) ... [2022-11-23 01:28:15,399] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0796577Z [2022-11-23 01:28:15,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0796794Z [2022-11-23 01:28:15,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0797045Z [2022-11-23 01:28:15,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0797457Z [2022-11-23 01:28:15,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0797784Z [2022-11-23 01:28:15,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0798112Z [2022-11-23 01:28:15,400] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f640f5d0, file "inductor/test_torchinductor.py", line 2116> 
2022-11-23T01:32:38.0798206Z  2117           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.0798302Z                2 LOAD_METHOD              1 (tanh)
2022-11-23T01:32:38.0798379Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0798468Z                6 CALL_METHOD              1
2022-11-23T01:32:38.0798558Z                8 LOAD_CONST               1 (2)
2022-11-23T01:32:38.0798632Z               10 BINARY_ADD
2022-11-23T01:32:38.0798723Z               12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.0798816Z               14 LOAD_METHOD              1 (tanh)
2022-11-23T01:32:38.0798904Z               16 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0798980Z               18 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0799051Z               20 BINARY_ADD
2022-11-23T01:32:38.0799137Z               22 CALL_METHOD              1
2022-11-23T01:32:38.0799224Z               24 BUILD_TUPLE              2
2022-11-23T01:32:38.0799299Z               26 RETURN_VALUE
2022-11-23T01:32:38.0799359Z  
2022-11-23T01:32:38.0799365Z 
2022-11-23T01:32:38.0799632Z [2022-11-23 01:28:15,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2117
2022-11-23T01:32:38.0799889Z [2022-11-23 01:28:15,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:38.0800192Z [2022-11-23 01:28:15,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tanh [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.0800475Z [2022-11-23 01:28:15,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.tanh)]
2022-11-23T01:32:38.0800761Z [2022-11-23 01:28:15,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.tanh), TensorVariable()]
2022-11-23T01:32:38.0800997Z [2022-11-23 01:28:15,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:38.0801277Z [2022-11-23 01:28:15,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0801526Z [2022-11-23 01:28:15,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:38.0801856Z [2022-11-23 01:28:15,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tanh [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.0802131Z [2022-11-23 01:28:15,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.tanh)]
2022-11-23T01:32:38.0802442Z [2022-11-23 01:28:15,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.tanh), TensorVariable()]
2022-11-23T01:32:38.0802790Z [2022-11-23 01:28:15,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.tanh), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0803090Z [2022-11-23 01:28:15,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.tanh), TensorVariable()]
2022-11-23T01:32:38.0803361Z [2022-11-23 01:28:15,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0803603Z [2022-11-23 01:28:15,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0803935Z [2022-11-23 01:28:15,439] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f640f5d0, file "inductor/test_torchinductor.py", line 2116>
2022-11-23T01:32:38.0804177Z [2022-11-23 01:28:15,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0804408Z [2022-11-23 01:28:15,439] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0804659Z [2022-11-23 01:28:15,441] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0804908Z [2022-11-23 01:28:15,450] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0805096Z [2022-11-23 01:28:15,451] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0805218Z  __compiled_fn_395 <eval_with_key>.2444 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0805305Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0805408Z call_function, tanh, aten.tanh, (ex_0_,), {}
2022-11-23T01:32:38.0805582Z call_function, add, <built-in function add>, (tanh, 2), {}
2022-11-23T01:32:38.0805756Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:38.0805859Z call_function, tanh_1, aten.tanh, (add_1,), {}
2022-11-23T01:32:38.0805961Z output, output, output, ((add, tanh_1),), {}
2022-11-23T01:32:38.0805967Z 
2022-11-23T01:32:38.0806243Z [2022-11-23 01:28:15,451] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0806323Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0806414Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0806577Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0806668Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0806745Z               8 RETURN_VALUE
2022-11-23T01:32:38.0806751Z 
2022-11-23T01:32:38.0806812Z  
2022-11-23T01:32:38.0807084Z [2022-11-23 01:28:15,452] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0807220Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_395)
2022-11-23T01:32:38.0807297Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0807386Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0807466Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0807554Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.0807656Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.0807755Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0807842Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0807907Z              16 BINARY_SUBSCR
2022-11-23T01:32:38.0808008Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0808096Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0808172Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.0808259Z              24 BUILD_TUPLE              2
2022-11-23T01:32:38.0808333Z              26 RETURN_VALUE
2022-11-23T01:32:38.0808339Z 
2022-11-23T01:32:38.0808401Z  
2022-11-23T01:32:38.0808572Z [2022-11-23 01:28:15,453] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0808640Z  - 
2022-11-23T01:32:38.0808759Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0808822Z             {
2022-11-23T01:32:38.0808962Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0809149Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.0809267Z                 'obj_weakref': None
2022-11-23T01:32:38.0809479Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0809545Z             }
2022-11-23T01:32:38.0809611Z             
2022-11-23T01:32:38.0809682Z  - 
2022-11-23T01:32:38.0809803Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0809866Z             {
2022-11-23T01:32:38.0810006Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0810099Z                 'code': None,
2022-11-23T01:32:38.0810309Z                 'obj_weakref': <weakref at 0x7f7106d5dd70; to 'Tensor' at 0x7f70f2c6aa70>
2022-11-23T01:32:38.0810558Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0810622Z             }
2022-11-23T01:32:38.0810684Z             
2022-11-23T01:32:38.0810752Z  - 
2022-11-23T01:32:38.0810882Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0810932Z             {
2022-11-23T01:32:38.0811065Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0811234Z                 'code': ['___check_obj_id(model, 140123087770688)'],
2022-11-23T01:32:38.0811350Z                 'obj_weakref': None
2022-11-23T01:32:38.0811577Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0811639Z             }
2022-11-23T01:32:38.0811701Z             
2022-11-23T01:32:38.0811756Z  - 
2022-11-23T01:32:38.0811875Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0811940Z             {
2022-11-23T01:32:38.0812076Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0812290Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0812406Z                 'obj_weakref': None
2022-11-23T01:32:38.0812621Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0812671Z             }
2022-11-23T01:32:38.0812731Z             
2022-11-23T01:32:38.0812830Z  - 
2022-11-23T01:32:38.0812962Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:38.0813023Z             {
2022-11-23T01:32:38.0813140Z                 'guard_types': None,
2022-11-23T01:32:38.0813245Z                 'code': None,
2022-11-23T01:32:38.0813347Z                 'obj_weakref': None
2022-11-23T01:32:38.0813466Z                 'guarded_class': None
2022-11-23T01:32:38.0813529Z             }
2022-11-23T01:32:38.0813591Z             
2022-11-23T01:32:38.0813887Z [2022-11-23 01:28:15,489] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 387
2022-11-23T01:32:38.0814265Z [2022-11-23 01:28:18,069] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ba/cbaazygoe7tlbfteqnptvnekta7d3lcehfejfmvhbhtgg2vqa6rm.py
2022-11-23T01:32:38.0814528Z [2022-11-23 01:28:18,069] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 387
2022-11-23T01:32:38.0814534Z 
2022-11-23T01:32:38.0814626Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0814684Z import torch
2022-11-23T01:32:38.0814751Z import random
2022-11-23T01:32:38.0814866Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0814985Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0814990Z 
2022-11-23T01:32:38.0815067Z aten = torch.ops.aten
2022-11-23T01:32:38.0815201Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0815293Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0815300Z 
2022-11-23T01:32:38.0815304Z 
2022-11-23T01:32:38.0815435Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0815628Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0815747Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.0815846Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.0815940Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:38.0816004Z {
2022-11-23T01:32:38.0816099Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0816160Z     {
2022-11-23T01:32:38.0816224Z         #pragma omp for 
2022-11-23T01:32:38.0816305Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:38.0816367Z         {
2022-11-23T01:32:38.0816516Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.0816717Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(-2.0));
2022-11-23T01:32:38.0816804Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.0816887Z             auto tmp3 = tmp2.exp();
2022-11-23T01:32:38.0817008Z             auto tmp4 = at::vec::Vectorized<float>(static_cast<float>(1.0));
2022-11-23T01:32:38.0817091Z             auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:38.0817185Z             auto tmp6 = tmp5.reciprocal();
2022-11-23T01:32:38.0817316Z             auto tmp7 = at::vec::Vectorized<float>(static_cast<float>(2.0));
2022-11-23T01:32:38.0817398Z             auto tmp8 = tmp6 * tmp7;
2022-11-23T01:32:38.0817520Z             auto tmp9 = tmp8 - tmp4;
2022-11-23T01:32:38.0817651Z             auto tmp10 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:38.0817736Z             auto tmp11 = tmp9 + tmp10;
2022-11-23T01:32:38.0817854Z             auto tmp12 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:38.0817937Z             auto tmp13 = tmp0 + tmp12;
2022-11-23T01:32:38.0818019Z             auto tmp14 = tmp13 * tmp1;
2022-11-23T01:32:38.0818106Z             auto tmp15 = tmp14.exp();
2022-11-23T01:32:38.0818187Z             auto tmp16 = tmp15 + tmp4;
2022-11-23T01:32:38.0818286Z             auto tmp17 = tmp16.reciprocal();
2022-11-23T01:32:38.0818367Z             auto tmp18 = tmp17 * tmp7;
2022-11-23T01:32:38.0818477Z             auto tmp19 = tmp18 - tmp4;
2022-11-23T01:32:38.0818568Z             tmp11.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.0818658Z             tmp19.store(out_ptr1 + 16*i0);
2022-11-23T01:32:38.0818721Z         }
2022-11-23T01:32:38.0818847Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.0818930Z         for(long i0=256; i0<256; i0+=1)
2022-11-23T01:32:38.0818993Z         {
2022-11-23T01:32:38.0819063Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.0819211Z             auto tmp1 = static_cast<float>(-2.0);
2022-11-23T01:32:38.0819295Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.0819384Z             auto tmp3 = std::exp(tmp2);
2022-11-23T01:32:38.0819511Z             auto tmp4 = static_cast<float>(1.0);
2022-11-23T01:32:38.0819596Z             auto tmp5 = tmp3 + tmp4;
2022-11-23T01:32:38.0819675Z             auto tmp6 = 1 / tmp5;
2022-11-23T01:32:38.0819764Z             auto tmp7 = static_cast<float>(2.0);
2022-11-23T01:32:38.0819846Z             auto tmp8 = tmp6 * tmp7;
2022-11-23T01:32:38.0819968Z             auto tmp9 = tmp8 - tmp4;
2022-11-23T01:32:38.0820067Z             auto tmp10 = static_cast<float>(2);
2022-11-23T01:32:38.0820155Z             auto tmp11 = tmp9 + tmp10;
2022-11-23T01:32:38.0820256Z             auto tmp12 = static_cast<float>(1);
2022-11-23T01:32:38.0820342Z             auto tmp13 = tmp0 + tmp12;
2022-11-23T01:32:38.0820413Z             auto tmp14 = tmp13 * tmp1;
2022-11-23T01:32:38.0820506Z             auto tmp15 = std::exp(tmp14);
2022-11-23T01:32:38.0820590Z             auto tmp16 = tmp15 + tmp4;
2022-11-23T01:32:38.0820673Z             auto tmp17 = 1 / tmp16;
2022-11-23T01:32:38.0820756Z             auto tmp18 = tmp17 * tmp7;
2022-11-23T01:32:38.0820880Z             auto tmp19 = tmp18 - tmp4;
2022-11-23T01:32:38.0820961Z             out_ptr0[i0] = tmp11;
2022-11-23T01:32:38.0821027Z             out_ptr1[i0] = tmp19;
2022-11-23T01:32:38.0821091Z         }
2022-11-23T01:32:38.0821156Z     }
2022-11-23T01:32:38.0821216Z }
2022-11-23T01:32:38.0821296Z ''')
2022-11-23T01:32:38.0821301Z 
2022-11-23T01:32:38.0821305Z 
2022-11-23T01:32:38.0821395Z async_compile.wait(globals())
2022-11-23T01:32:38.0821467Z del async_compile
2022-11-23T01:32:38.0821472Z 
2022-11-23T01:32:38.0821532Z def call(args):
2022-11-23T01:32:38.0821603Z     arg0_1, = args
2022-11-23T01:32:38.0821675Z     args.clear()
2022-11-23T01:32:38.0821875Z     buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0822075Z     buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0822241Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:38.0822314Z     del arg0_1
2022-11-23T01:32:38.0822379Z     return (buf0, buf1, )
2022-11-23T01:32:38.0822400Z 
2022-11-23T01:32:38.0822404Z 
2022-11-23T01:32:38.0822467Z if __name__ == "__main__":
2022-11-23T01:32:38.0822580Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0822702Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0822901Z     arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0823010Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.0823017Z 
2022-11-23T01:32:38.0823086Z ok (2.683s)
2022-11-23T01:32:38.0823395Z   test_tensor1_cpu (__main__.CpuTests) ... [2022-11-23 01:28:18,084] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0823667Z [2022-11-23 01:28:18,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0823874Z [2022-11-23 01:28:18,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0824127Z [2022-11-23 01:28:18,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0824413Z [2022-11-23 01:28:18,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0824824Z [2022-11-23 01:28:18,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0825183Z [2022-11-23 01:28:18,085] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64716f0, file "inductor/test_torchinductor.py", line 914> 
2022-11-23T01:32:38.0825279Z  915           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0825372Z               2 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:38.0825462Z               4 LOAD_CONST               1 (1)
2022-11-23T01:32:38.0825550Z               6 BUILD_LIST               1
2022-11-23T01:32:38.0825655Z               8 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0825746Z              10 LOAD_ATTR                2 (device)
2022-11-23T01:32:38.0825897Z              12 LOAD_CONST               2 (('device',))
2022-11-23T01:32:38.0825988Z              14 CALL_FUNCTION_KW         2
2022-11-23T01:32:38.0826080Z              16 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0826189Z              18 BINARY_ADD
2022-11-23T01:32:38.0826282Z              20 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0826361Z              22 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:38.0826366Z 
2022-11-23T01:32:38.0826452Z 916          24 LOAD_CONST               3 (5)
2022-11-23T01:32:38.0826539Z              26 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0826629Z              28 LOAD_ATTR                2 (device)
2022-11-23T01:32:38.0826775Z              30 LOAD_CONST               2 (('device',))
2022-11-23T01:32:38.0826863Z              32 CALL_FUNCTION_KW         2
2022-11-23T01:32:38.0826955Z              34 BUILD_TUPLE              2
2022-11-23T01:32:38.0827018Z              36 RETURN_VALUE
2022-11-23T01:32:38.0827079Z  
2022-11-23T01:32:38.0827084Z 
2022-11-23T01:32:38.0827352Z [2022-11-23 01:28:18,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:915
2022-11-23T01:32:38.0827573Z [2022-11-23 01:28:18,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.0827940Z [2022-11-23 01:28:18,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0828266Z [2022-11-23 01:28:18,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.0828626Z [2022-11-23 01:28:18,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(int)]
2022-11-23T01:32:38.0828972Z [2022-11-23 01:28:18,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable()]
2022-11-23T01:32:38.0829350Z [2022-11-23 01:28:18,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable(), TensorVariable()]
2022-11-23T01:32:38.0829741Z [2022-11-23 01:28:18,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:32:38.0830174Z [2022-11-23 01:28:18,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:38.0830411Z [2022-11-23 01:28:18,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:38.0830671Z [2022-11-23 01:28:18,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0830916Z [2022-11-23 01:28:18,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:38.0831313Z [2022-11-23 01:28:18,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0831606Z [2022-11-23 01:28:18,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:916
2022-11-23T01:32:38.0831956Z [2022-11-23 01:28:18,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.0832367Z [2022-11-23 01:28:18,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(int)]
2022-11-23T01:32:38.0832793Z [2022-11-23 01:28:18,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:38.0833228Z [2022-11-23 01:28:18,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(int), TorchVariable(cpu)]
2022-11-23T01:32:38.0833701Z [2022-11-23 01:28:18,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:38.0833970Z [2022-11-23 01:28:18,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0834212Z [2022-11-23 01:28:18,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0834537Z [2022-11-23 01:28:18,099] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64716f0, file "inductor/test_torchinductor.py", line 914>
2022-11-23T01:32:38.0834766Z [2022-11-23 01:28:18,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0835000Z [2022-11-23 01:28:18,099] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0835251Z [2022-11-23 01:28:18,102] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0835499Z [2022-11-23 01:28:18,110] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0835688Z [2022-11-23 01:28:18,110] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0835822Z  __compiled_fn_396 <eval_with_key>.2450 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0835911Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0836179Z call_function, tensor, <built-in method tensor of type object at 0x7f71f2abebc0>, ([1],), {'device': device(type='cpu')}
2022-11-23T01:32:38.0836360Z call_function, add, <built-in function add>, (tensor, ex_0_), {}
2022-11-23T01:32:38.0836612Z call_function, tensor_1, <built-in method tensor of type object at 0x7f71f2abebc0>, (5,), {'device': device(type='cpu')}
2022-11-23T01:32:38.0836719Z output, output, output, ((add, tensor_1),), {}
2022-11-23T01:32:38.0836724Z 
2022-11-23T01:32:38.0837003Z [2022-11-23 01:28:18,111] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0837096Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0837285Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0837381Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0837470Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0837546Z               8 RETURN_VALUE
2022-11-23T01:32:38.0837553Z 
2022-11-23T01:32:38.0837602Z  
2022-11-23T01:32:38.0837876Z [2022-11-23 01:28:18,111] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0837983Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_396)
2022-11-23T01:32:38.0838121Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0838208Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0838284Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0838372Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.0838463Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.0838568Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0838703Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0838781Z              16 BINARY_SUBSCR
2022-11-23T01:32:38.0838881Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0838968Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0839043Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.0839117Z              24 BUILD_TUPLE              2
2022-11-23T01:32:38.0839190Z              26 RETURN_VALUE
2022-11-23T01:32:38.0839195Z 
2022-11-23T01:32:38.0839256Z  
2022-11-23T01:32:38.0839439Z [2022-11-23 01:28:18,114] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0839508Z  - 
2022-11-23T01:32:38.0839626Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0839689Z             {
2022-11-23T01:32:38.0839828Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0840000Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.0840119Z                 'obj_weakref': None
2022-11-23T01:32:38.0840344Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0840408Z             }
2022-11-23T01:32:38.0840472Z             
2022-11-23T01:32:38.0840540Z  - 
2022-11-23T01:32:38.0840661Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:38.0840711Z             {
2022-11-23T01:32:38.0840849Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:38.0841016Z                 'code': ['___check_type_id(ex[0], 107271106909856)'],
2022-11-23T01:32:38.0841226Z                 'obj_weakref': <weakref at 0x7f70f2d7eb90; to 'Tensor' at 0x7f70f2d85890>
2022-11-23T01:32:38.0841472Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0841534Z             }
2022-11-23T01:32:38.0841596Z             
2022-11-23T01:32:38.0841652Z  - 
2022-11-23T01:32:38.0841774Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0841836Z             {
2022-11-23T01:32:38.0841977Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0842081Z                 'code': None,
2022-11-23T01:32:38.0842290Z                 'obj_weakref': <weakref at 0x7f70f2d7eb90; to 'Tensor' at 0x7f70f2d85890>
2022-11-23T01:32:38.0842536Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0842586Z             }
2022-11-23T01:32:38.0842647Z             
2022-11-23T01:32:38.0842714Z  - 
2022-11-23T01:32:38.0842845Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0842910Z             {
2022-11-23T01:32:38.0843043Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0843212Z                 'code': ['___check_obj_id(model, 140123420657856)'],
2022-11-23T01:32:38.0843319Z                 'obj_weakref': None
2022-11-23T01:32:38.0843546Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0843609Z             }
2022-11-23T01:32:38.0843672Z             
2022-11-23T01:32:38.0843739Z  - 
2022-11-23T01:32:38.0843859Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0843921Z             {
2022-11-23T01:32:38.0844043Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0844259Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0844376Z                 'obj_weakref': None
2022-11-23T01:32:38.0844592Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0844684Z             }
2022-11-23T01:32:38.0844748Z             
2022-11-23T01:32:38.0844817Z  - 
2022-11-23T01:32:38.0844936Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.0844997Z             {
2022-11-23T01:32:38.0845115Z                 'guard_types': None,
2022-11-23T01:32:38.0845220Z                 'code': None,
2022-11-23T01:32:38.0845334Z                 'obj_weakref': None
2022-11-23T01:32:38.0845489Z                 'guarded_class': None
2022-11-23T01:32:38.0845553Z             }
2022-11-23T01:32:38.0845602Z             
2022-11-23T01:32:38.0845860Z [2022-11-23 01:28:18,128] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 388
2022-11-23T01:32:38.0846240Z [2022-11-23 01:28:20,708] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sp/cspee3enjegfdcnugvpsywoayslcmgyamwj2jfj6h6c42nsshtzu.py
2022-11-23T01:32:38.0846500Z [2022-11-23 01:28:20,708] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 388
2022-11-23T01:32:38.0846507Z 
2022-11-23T01:32:38.0846599Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0846667Z import torch
2022-11-23T01:32:38.0846735Z import random
2022-11-23T01:32:38.0846836Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0846955Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0846960Z 
2022-11-23T01:32:38.0847037Z aten = torch.ops.aten
2022-11-23T01:32:38.0847171Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0847261Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0847267Z 
2022-11-23T01:32:38.0847271Z 
2022-11-23T01:32:38.0847402Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0847606Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0847726Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.0847826Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.0847911Z                        long* __restrict__ out_ptr1)
2022-11-23T01:32:38.0847970Z {
2022-11-23T01:32:38.0848067Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0848128Z     {
2022-11-23T01:32:38.0848203Z         #pragma omp for 
2022-11-23T01:32:38.0848284Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.0848336Z         {
2022-11-23T01:32:38.0848397Z             {
2022-11-23T01:32:38.0848460Z                 {
2022-11-23T01:32:38.0848557Z                     auto tmp2 = in_ptr0[i0];
2022-11-23T01:32:38.0848659Z                     auto tmp0 = static_cast<long>(1);
2022-11-23T01:32:38.0848764Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:38.0848856Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:38.0848926Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:38.0848990Z                 }
2022-11-23T01:32:38.0849051Z             }
2022-11-23T01:32:38.0849114Z         }
2022-11-23T01:32:38.0849194Z         #pragma omp single
2022-11-23T01:32:38.0849256Z         {
2022-11-23T01:32:38.0849318Z             {
2022-11-23T01:32:38.0849369Z                 {
2022-11-23T01:32:38.0849470Z                     auto tmp0 = static_cast<long>(5);
2022-11-23T01:32:38.0849550Z                     out_ptr1[0] = tmp0;
2022-11-23T01:32:38.0849616Z                 }
2022-11-23T01:32:38.0849678Z             }
2022-11-23T01:32:38.0849738Z         }
2022-11-23T01:32:38.0849786Z     }
2022-11-23T01:32:38.0849847Z }
2022-11-23T01:32:38.0849924Z ''')
2022-11-23T01:32:38.0849929Z 
2022-11-23T01:32:38.0849933Z 
2022-11-23T01:32:38.0850022Z async_compile.wait(globals())
2022-11-23T01:32:38.0850093Z del async_compile
2022-11-23T01:32:38.0850098Z 
2022-11-23T01:32:38.0850167Z def call(args):
2022-11-23T01:32:38.0850235Z     arg0_1, = args
2022-11-23T01:32:38.0850305Z     args.clear()
2022-11-23T01:32:38.0850487Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0850665Z     buf1 = empty_strided((), (), device='cpu', dtype=torch.int64)
2022-11-23T01:32:38.0850859Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:38.0850927Z     del arg0_1
2022-11-23T01:32:38.0851004Z     return (buf0, buf1, )
2022-11-23T01:32:38.0851009Z 
2022-11-23T01:32:38.0851013Z 
2022-11-23T01:32:38.0851089Z if __name__ == "__main__":
2022-11-23T01:32:38.0851200Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0851350Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0851531Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0851637Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.0851642Z 
2022-11-23T01:32:38.0851707Z ok (2.637s)
2022-11-23T01:32:38.0852009Z   test_tensor2_cpu (__main__.CpuTests) ... [2022-11-23 01:28:20,719] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0852281Z [2022-11-23 01:28:20,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0852500Z [2022-11-23 01:28:20,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0852752Z [2022-11-23 01:28:20,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0853040Z [2022-11-23 01:28:20,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0853360Z [2022-11-23 01:28:20,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0853669Z [2022-11-23 01:28:20,719] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6471810, file "inductor/test_torchinductor.py", line 922> 
2022-11-23T01:32:38.0853763Z  923           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0853853Z               2 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:38.0853945Z               4 LOAD_GLOBAL              2 (list)
2022-11-23T01:32:38.0854038Z               6 LOAD_GLOBAL              3 (range)
2022-11-23T01:32:38.0854125Z               8 LOAD_CONST               1 (2)
2022-11-23T01:32:38.0854217Z              10 LOAD_CONST               2 (40)
2022-11-23T01:32:38.0854292Z              12 LOAD_CONST               1 (2)
2022-11-23T01:32:38.0854380Z              14 CALL_FUNCTION            3
2022-11-23T01:32:38.0854469Z              16 CALL_FUNCTION            1
2022-11-23T01:32:38.0854560Z              18 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0854651Z              20 LOAD_ATTR                4 (device)
2022-11-23T01:32:38.0854799Z              22 LOAD_CONST               3 (('device',))
2022-11-23T01:32:38.0854889Z              24 CALL_FUNCTION_KW         2
2022-11-23T01:32:38.0854978Z              26 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0855038Z              28 BINARY_ADD
2022-11-23T01:32:38.0855115Z              30 RETURN_VALUE
2022-11-23T01:32:38.0855176Z  
2022-11-23T01:32:38.0855181Z 
2022-11-23T01:32:38.0855444Z [2022-11-23 01:28:20,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:923
2022-11-23T01:32:38.0855663Z [2022-11-23 01:28:20,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.0856031Z [2022-11-23 01:28:20,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0856360Z [2022-11-23 01:28:20,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL list [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.0856726Z [2022-11-23 01:28:20,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL range [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), BuiltinVariable(list)]
2022-11-23T01:32:38.0857151Z [2022-11-23 01:28:20,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), BuiltinVariable(list), BuiltinVariable(range)]
2022-11-23T01:32:38.0857575Z [2022-11-23 01:28:20,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int)]
2022-11-23T01:32:38.0858073Z [2022-11-23 01:28:20,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.0858591Z [2022-11-23 01:28:20,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.0858980Z [2022-11-23 01:28:20,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), BuiltinVariable(list), RangeVariable()]
2022-11-23T01:32:38.0859320Z [2022-11-23 01:28:20,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable()]
2022-11-23T01:32:38.0859702Z [2022-11-23 01:28:20,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable(), TensorVariable()]
2022-11-23T01:32:38.0860092Z [2022-11-23 01:28:20,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:32:38.0860525Z [2022-11-23 01:28:20,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:38.0860762Z [2022-11-23 01:28:20,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()]
2022-11-23T01:32:38.0861034Z [2022-11-23 01:28:20,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0861282Z [2022-11-23 01:28:20,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.0861607Z [2022-11-23 01:28:20,729] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6471810, file "inductor/test_torchinductor.py", line 922>
2022-11-23T01:32:38.0861850Z [2022-11-23 01:28:20,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.0862083Z [2022-11-23 01:28:20,729] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0862324Z [2022-11-23 01:28:20,730] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0862571Z [2022-11-23 01:28:20,736] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0862759Z [2022-11-23 01:28:20,736] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0862893Z  __compiled_fn_397 <eval_with_key>.2456 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0862983Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0863319Z call_function, tensor, <built-in method tensor of type object at 0x7f71f2abebc0>, ([2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38],), {'device': device(type='cpu')}
2022-11-23T01:32:38.0863500Z call_function, add, <built-in function add>, (tensor, ex_0_), {}
2022-11-23T01:32:38.0863595Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.0863601Z 
2022-11-23T01:32:38.0863908Z [2022-11-23 01:28:20,736] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0863989Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0864078Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0864170Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0864259Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0864364Z               8 RETURN_VALUE
2022-11-23T01:32:38.0864370Z 
2022-11-23T01:32:38.0864431Z  
2022-11-23T01:32:38.0864796Z [2022-11-23 01:28:20,737] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0864891Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_397)
2022-11-23T01:32:38.0864983Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0865073Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0865151Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0865243Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.0865335Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:38.0865410Z              12 RETURN_VALUE
2022-11-23T01:32:38.0865415Z 
2022-11-23T01:32:38.0865476Z  
2022-11-23T01:32:38.0865646Z [2022-11-23 01:28:20,738] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0865715Z  - 
2022-11-23T01:32:38.0865834Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0865900Z             {
2022-11-23T01:32:38.0866043Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0866232Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.0866352Z                 'obj_weakref': None
2022-11-23T01:32:38.0866563Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0866630Z             }
2022-11-23T01:32:38.0866695Z             
2022-11-23T01:32:38.0866766Z  - 
2022-11-23T01:32:38.0866891Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:38.0866955Z             {
2022-11-23T01:32:38.0867081Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:38.0867250Z                 'code': ['___check_type_id(ex[0], 107271106909856)'],
2022-11-23T01:32:38.0867461Z                 'obj_weakref': <weakref at 0x7f70f2dbd890; to 'Tensor' at 0x7f710691b470>
2022-11-23T01:32:38.0867713Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0867778Z             }
2022-11-23T01:32:38.0867842Z             
2022-11-23T01:32:38.0867911Z  - 
2022-11-23T01:32:38.0868036Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0868085Z             {
2022-11-23T01:32:38.0868230Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0868337Z                 'code': None,
2022-11-23T01:32:38.0868545Z                 'obj_weakref': <weakref at 0x7f70f2dbd890; to 'Tensor' at 0x7f710691b470>
2022-11-23T01:32:38.0868798Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0868864Z             }
2022-11-23T01:32:38.0868928Z             
2022-11-23T01:32:38.0868985Z  - 
2022-11-23T01:32:38.0869116Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0869179Z             {
2022-11-23T01:32:38.0869315Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0869487Z                 'code': ['___check_obj_id(model, 140123421766288)'],
2022-11-23T01:32:38.0869606Z                 'obj_weakref': None
2022-11-23T01:32:38.0869834Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0869884Z             }
2022-11-23T01:32:38.0869949Z             
2022-11-23T01:32:38.0870019Z  - 
2022-11-23T01:32:38.0870139Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0870203Z             {
2022-11-23T01:32:38.0870339Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0870592Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0870697Z                 'obj_weakref': None
2022-11-23T01:32:38.0870913Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0870976Z             }
2022-11-23T01:32:38.0871039Z             
2022-11-23T01:32:38.0871108Z  - 
2022-11-23T01:32:38.0871261Z             global 'list' BUILTIN_MATCH
2022-11-23T01:32:38.0871325Z             {
2022-11-23T01:32:38.0871434Z                 'guard_types': None,
2022-11-23T01:32:38.0871538Z                 'code': None,
2022-11-23T01:32:38.0871655Z                 'obj_weakref': None
2022-11-23T01:32:38.0871773Z                 'guarded_class': None
2022-11-23T01:32:38.0871838Z             }
2022-11-23T01:32:38.0871898Z             
2022-11-23T01:32:38.0871953Z  - 
2022-11-23T01:32:38.0872081Z             global 'range' BUILTIN_MATCH
2022-11-23T01:32:38.0872146Z             {
2022-11-23T01:32:38.0872263Z                 'guard_types': None,
2022-11-23T01:32:38.0872371Z                 'code': None,
2022-11-23T01:32:38.0872486Z                 'obj_weakref': None
2022-11-23T01:32:38.0872606Z                 'guarded_class': None
2022-11-23T01:32:38.0872656Z             }
2022-11-23T01:32:38.0872717Z             
2022-11-23T01:32:38.0872784Z  - 
2022-11-23T01:32:38.0872915Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.0872980Z             {
2022-11-23T01:32:38.0873099Z                 'guard_types': None,
2022-11-23T01:32:38.0873202Z                 'code': None,
2022-11-23T01:32:38.0873305Z                 'obj_weakref': None
2022-11-23T01:32:38.0873424Z                 'guarded_class': None
2022-11-23T01:32:38.0873487Z             }
2022-11-23T01:32:38.0873551Z             
2022-11-23T01:32:38.0873811Z [2022-11-23 01:28:20,746] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 389
2022-11-23T01:32:38.0874179Z [2022-11-23 01:28:23,286] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5b/c5br733ol2qxhoxrfrsnofu7tfptuqhy3yohnbpisz26sc2gxiwj.py
2022-11-23T01:32:38.0874445Z [2022-11-23 01:28:23,287] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 389
2022-11-23T01:32:38.0874450Z 
2022-11-23T01:32:38.0874543Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0874598Z import torch
2022-11-23T01:32:38.0874666Z import random
2022-11-23T01:32:38.0874782Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0874902Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0874907Z 
2022-11-23T01:32:38.0874984Z aten = torch.ops.aten
2022-11-23T01:32:38.0875118Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0875210Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0875358Z constant0 = None  # 4ebd4ff1c68a89413a036eaaf84436373c4ec2939ac1d7f84e9908772a109281
2022-11-23T01:32:38.0875364Z 
2022-11-23T01:32:38.0875382Z 
2022-11-23T01:32:38.0875502Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0875705Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0875822Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:38.0875927Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.0876025Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.0876085Z {
2022-11-23T01:32:38.0876182Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0876230Z     {
2022-11-23T01:32:38.0876306Z         #pragma omp for 
2022-11-23T01:32:38.0876389Z         for(long i0=0; i0<19; i0+=1)
2022-11-23T01:32:38.0876451Z         {
2022-11-23T01:32:38.0876515Z             {
2022-11-23T01:32:38.0876578Z                 {
2022-11-23T01:32:38.0876657Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.0876746Z                     auto tmp2 = in_ptr1[0];
2022-11-23T01:32:38.0876885Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:38.0876974Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:38.0877058Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:38.0877226Z                 }
2022-11-23T01:32:38.0877291Z             }
2022-11-23T01:32:38.0877339Z         }
2022-11-23T01:32:38.0877401Z     }
2022-11-23T01:32:38.0877460Z }
2022-11-23T01:32:38.0877539Z ''')
2022-11-23T01:32:38.0877545Z 
2022-11-23T01:32:38.0877550Z 
2022-11-23T01:32:38.0877688Z async_compile.wait(globals())
2022-11-23T01:32:38.0877760Z del async_compile
2022-11-23T01:32:38.0877765Z 
2022-11-23T01:32:38.0877834Z def call(args):
2022-11-23T01:32:38.0877891Z     arg0_1, = args
2022-11-23T01:32:38.0877962Z     args.clear()
2022-11-23T01:32:38.0878158Z     buf0 = empty_strided((19, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0878328Z     kernel_cpp_0(c_void_p(constant0.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.0878398Z     del arg0_1
2022-11-23T01:32:38.0878467Z     return (buf0, )
2022-11-23T01:32:38.0878473Z 
2022-11-23T01:32:38.0878477Z 
2022-11-23T01:32:38.0878551Z if __name__ == "__main__":
2022-11-23T01:32:38.0878665Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0878773Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0878972Z     constant0 = rand_strided((19, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:38.0879165Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0879269Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.0879274Z 
2022-11-23T01:32:38.0879341Z ok (2.578s)
2022-11-23T01:32:38.0879645Z   test_tensor3_cpu (__main__.CpuTests) ... [2022-11-23 01:28:23,297] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0879914Z [2022-11-23 01:28:23,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0880136Z [2022-11-23 01:28:23,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0880387Z [2022-11-23 01:28:23,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0880659Z [2022-11-23 01:28:23,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0880981Z [2022-11-23 01:28:23,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0881303Z [2022-11-23 01:28:23,298] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6471930, file "inductor/test_torchinductor.py", line 928> 
2022-11-23T01:32:38.0881397Z  930           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0881488Z               2 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:38.0881572Z               4 BUILD_LIST               0
2022-11-23T01:32:38.0881664Z               6 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0881754Z               8 LOAD_ATTR                2 (device)
2022-11-23T01:32:38.0881888Z              10 LOAD_CONST               1 (('device',))
2022-11-23T01:32:38.0881978Z              12 CALL_FUNCTION_KW         2
2022-11-23T01:32:38.0881983Z 
2022-11-23T01:32:38.0882073Z 931          14 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0882163Z              16 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:38.0882252Z              18 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0882339Z              20 LOAD_CONST               3 (2)
2022-11-23T01:32:38.0882425Z              22 BUILD_LIST               2
2022-11-23T01:32:38.0882499Z              24 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0882589Z              26 LOAD_ATTR                2 (device)
2022-11-23T01:32:38.0882736Z              28 LOAD_CONST               1 (('device',))
2022-11-23T01:32:38.0882871Z              30 CALL_FUNCTION_KW         2
2022-11-23T01:32:38.0882957Z              32 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0883030Z              34 BINARY_ADD
2022-11-23T01:32:38.0883036Z 
2022-11-23T01:32:38.0883128Z 932          36 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0883215Z              38 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:38.0883289Z              40 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0883415Z              42 LOAD_CONST               3 (2)
2022-11-23T01:32:38.0883503Z              44 LOAD_CONST               4 (3)
2022-11-23T01:32:38.0883588Z              46 BUILD_LIST               3
2022-11-23T01:32:38.0883673Z              48 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0883762Z              50 LOAD_ATTR                2 (device)
2022-11-23T01:32:38.0883910Z              52 LOAD_CONST               1 (('device',))
2022-11-23T01:32:38.0883986Z              54 CALL_FUNCTION_KW         2
2022-11-23T01:32:38.0884071Z              56 LOAD_CONST               3 (2)
2022-11-23T01:32:38.0884146Z              58 BINARY_ADD
2022-11-23T01:32:38.0884151Z 
2022-11-23T01:32:38.0884243Z 933          60 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0884331Z              62 LOAD_ATTR                1 (tensor)
2022-11-23T01:32:38.0884417Z              64 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0884502Z              66 LOAD_CONST               3 (2)
2022-11-23T01:32:38.0884587Z              68 LOAD_CONST               4 (3)
2022-11-23T01:32:38.0884661Z              70 LOAD_CONST               5 (4)
2022-11-23T01:32:38.0884745Z              72 BUILD_LIST               4
2022-11-23T01:32:38.0884830Z              74 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0884921Z              76 LOAD_ATTR                2 (device)
2022-11-23T01:32:38.0885067Z              78 LOAD_CONST               1 (('device',))
2022-11-23T01:32:38.0885157Z              80 CALL_FUNCTION_KW         2
2022-11-23T01:32:38.0885243Z              82 LOAD_FAST                0 (x)
2022-11-23T01:32:38.0885305Z              84 BINARY_ADD
2022-11-23T01:32:38.0885390Z              86 BUILD_TUPLE              4
2022-11-23T01:32:38.0885466Z              88 RETURN_VALUE
2022-11-23T01:32:38.0885527Z  
2022-11-23T01:32:38.0885532Z 
2022-11-23T01:32:38.0885799Z [2022-11-23 01:28:23,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:930
2022-11-23T01:32:38.0886019Z [2022-11-23 01:28:23,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.0886385Z [2022-11-23 01:28:23,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0886708Z [2022-11-23 01:28:23,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.0887037Z [2022-11-23 01:28:23,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable()]
2022-11-23T01:32:38.0887419Z [2022-11-23 01:28:23,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable(), TensorVariable()]
2022-11-23T01:32:38.0887812Z [2022-11-23 01:28:23,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:32:38.0888239Z [2022-11-23 01:28:23,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:38.0888502Z [2022-11-23 01:28:23,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:931
2022-11-23T01:32:38.0888750Z [2022-11-23 01:28:23,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:38.0889177Z [2022-11-23 01:28:23,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0889558Z [2022-11-23 01:28:23,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.0889943Z [2022-11-23 01:28:23,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(int)]
2022-11-23T01:32:38.0890366Z [2022-11-23 01:28:23,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.0890740Z [2022-11-23 01:28:23,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable()]
2022-11-23T01:32:38.0891147Z [2022-11-23 01:28:23,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable(), TensorVariable()]
2022-11-23T01:32:38.0891568Z [2022-11-23 01:28:23,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:32:38.0892029Z [2022-11-23 01:28:23,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:38.0892295Z [2022-11-23 01:28:23,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0892588Z [2022-11-23 01:28:23,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0892850Z [2022-11-23 01:28:23,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:932
2022-11-23T01:32:38.0893124Z [2022-11-23 01:28:23,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0893547Z [2022-11-23 01:28:23,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0893926Z [2022-11-23 01:28:23,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.0894342Z [2022-11-23 01:28:23,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(int)]
2022-11-23T01:32:38.0894802Z [2022-11-23 01:28:23,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.0895297Z [2022-11-23 01:28:23,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.0895697Z [2022-11-23 01:28:23,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable()]
2022-11-23T01:32:38.0896160Z [2022-11-23 01:28:23,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable(), TensorVariable()]
2022-11-23T01:32:38.0896637Z [2022-11-23 01:28:23,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:32:38.0897124Z [2022-11-23 01:28:23,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:38.0897420Z [2022-11-23 01:28:23,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0897756Z [2022-11-23 01:28:23,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0898017Z [2022-11-23 01:28:23,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:933
2022-11-23T01:32:38.0898308Z [2022-11-23 01:28:23,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0898760Z [2022-11-23 01:28:23,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0899167Z [2022-11-23 01:28:23,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.0899612Z [2022-11-23 01:28:23,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(int)]
2022-11-23T01:32:38.0900097Z [2022-11-23 01:28:23,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.0900613Z [2022-11-23 01:28:23,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.0901165Z [2022-11-23 01:28:23,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.0901597Z [2022-11-23 01:28:23,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable()]
2022-11-23T01:32:38.0902060Z [2022-11-23 01:28:23,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable(), TensorVariable()]
2022-11-23T01:32:38.0902538Z [2022-11-23 01:28:23,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable(), TorchVariable(cpu)]
2022-11-23T01:32:38.0903081Z [2022-11-23 01:28:23,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method tensor of type object at 0x7f71f2abebc0>), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:38.0903467Z [2022-11-23 01:28:23,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0903821Z [2022-11-23 01:28:23,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0904145Z [2022-11-23 01:28:23,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0904391Z [2022-11-23 01:28:23,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0904800Z [2022-11-23 01:28:23,318] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6471930, file "inductor/test_torchinductor.py", line 928>
2022-11-23T01:32:38.0905046Z [2022-11-23 01:28:23,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0905272Z [2022-11-23 01:28:23,318] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0905526Z [2022-11-23 01:28:23,321] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0905774Z [2022-11-23 01:28:23,330] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0905962Z [2022-11-23 01:28:23,331] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0906094Z  __compiled_fn_398 <eval_with_key>.2462 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0906186Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0906454Z call_function, tensor, <built-in method tensor of type object at 0x7f71f2abebc0>, ([],), {'device': device(type='cpu')}
2022-11-23T01:32:38.0906729Z call_function, tensor_1, <built-in method tensor of type object at 0x7f71f2abebc0>, ([1, 2],), {'device': device(type='cpu')}
2022-11-23T01:32:38.0906892Z call_function, add, <built-in function add>, (tensor_1, 1), {}
2022-11-23T01:32:38.0907172Z call_function, tensor_2, <built-in method tensor of type object at 0x7f71f2abebc0>, ([1, 2, 3],), {'device': device(type='cpu')}
2022-11-23T01:32:38.0907350Z call_function, add_1, <built-in function add>, (tensor_2, 2), {}
2022-11-23T01:32:38.0907627Z call_function, tensor_3, <built-in method tensor of type object at 0x7f71f2abebc0>, ([1, 2, 3, 4],), {'device': device(type='cpu')}
2022-11-23T01:32:38.0907813Z call_function, add_2, <built-in function add>, (tensor_3, ex_0_), {}
2022-11-23T01:32:38.0907930Z output, output, output, ((tensor, add, add_1, add_2),), {}
2022-11-23T01:32:38.0907937Z 
2022-11-23T01:32:38.0908217Z [2022-11-23 01:28:23,331] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0908309Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0908399Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0908479Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0908568Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0908645Z               8 RETURN_VALUE
2022-11-23T01:32:38.0908650Z 
2022-11-23T01:32:38.0908709Z  
2022-11-23T01:32:38.0908982Z [2022-11-23 01:28:23,332] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0909088Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_398)
2022-11-23T01:32:38.0909178Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0909265Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0909366Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0909454Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.0909555Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.0909656Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0909743Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0909818Z              16 BINARY_SUBSCR
2022-11-23T01:32:38.0909944Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0910020Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0910095Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.0910195Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0910282Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:38.0910357Z              28 BINARY_SUBSCR
2022-11-23T01:32:38.0910455Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0910545Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:38.0910611Z              34 BINARY_SUBSCR
2022-11-23T01:32:38.0910699Z              36 BUILD_TUPLE              4
2022-11-23T01:32:38.0910774Z              38 RETURN_VALUE
2022-11-23T01:32:38.0910779Z 
2022-11-23T01:32:38.0910840Z  
2022-11-23T01:32:38.0911021Z [2022-11-23 01:28:23,333] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0911091Z  - 
2022-11-23T01:32:38.0911208Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0911262Z             {
2022-11-23T01:32:38.0911401Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0911587Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.0911705Z                 'obj_weakref': None
2022-11-23T01:32:38.0911927Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0911991Z             }
2022-11-23T01:32:38.0912054Z             
2022-11-23T01:32:38.0912110Z  - 
2022-11-23T01:32:38.0912232Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:38.0912293Z             {
2022-11-23T01:32:38.0912431Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:38.0912600Z                 'code': ['___check_type_id(ex[0], 107271106909856)'],
2022-11-23T01:32:38.0912807Z                 'obj_weakref': <weakref at 0x7f70f274c950; to 'Tensor' at 0x7f71072347d0>
2022-11-23T01:32:38.0913057Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0913108Z             }
2022-11-23T01:32:38.0913173Z             
2022-11-23T01:32:38.0913242Z  - 
2022-11-23T01:32:38.0913367Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0913431Z             {
2022-11-23T01:32:38.0913575Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0913683Z                 'code': None,
2022-11-23T01:32:38.0913875Z                 'obj_weakref': <weakref at 0x7f70f274c950; to 'Tensor' at 0x7f71072347d0>
2022-11-23T01:32:38.0914125Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0914190Z             }
2022-11-23T01:32:38.0914253Z             
2022-11-23T01:32:38.0914322Z  - 
2022-11-23T01:32:38.0914452Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.0914518Z             {
2022-11-23T01:32:38.0914639Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.0914809Z                 'code': ['___check_obj_id(model, 140123524062816)'],
2022-11-23T01:32:38.0914928Z                 'obj_weakref': None
2022-11-23T01:32:38.0915157Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.0915221Z             }
2022-11-23T01:32:38.0915286Z             
2022-11-23T01:32:38.0915360Z  - 
2022-11-23T01:32:38.0915468Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.0915532Z             {
2022-11-23T01:32:38.0915669Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.0915916Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.0916036Z                 'obj_weakref': None
2022-11-23T01:32:38.0916255Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.0916319Z             }
2022-11-23T01:32:38.0916368Z             
2022-11-23T01:32:38.0916437Z  - 
2022-11-23T01:32:38.0916602Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.0916666Z             {
2022-11-23T01:32:38.0916788Z                 'guard_types': None,
2022-11-23T01:32:38.0916896Z                 'code': None,
2022-11-23T01:32:38.0917016Z                 'obj_weakref': None
2022-11-23T01:32:38.0917244Z                 'guarded_class': None
2022-11-23T01:32:38.0917307Z             }
2022-11-23T01:32:38.0917371Z             
2022-11-23T01:32:38.0917633Z [2022-11-23 01:28:23,349] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 390
2022-11-23T01:32:38.0918006Z [2022-11-23 01:28:25,977] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vs/cvscoq5zhewqw5onfv2hbqw6vqtazluo5nncmnc74knomrbyfibg.py
2022-11-23T01:32:38.0918271Z [2022-11-23 01:28:25,978] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 390
2022-11-23T01:32:38.0918276Z 
2022-11-23T01:32:38.0918371Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.0918440Z import torch
2022-11-23T01:32:38.0918498Z import random
2022-11-23T01:32:38.0918613Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.0918733Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.0918738Z 
2022-11-23T01:32:38.0918815Z aten = torch.ops.aten
2022-11-23T01:32:38.0918951Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.0919043Z async_compile = AsyncCompile()
2022-11-23T01:32:38.0919048Z 
2022-11-23T01:32:38.0919052Z 
2022-11-23T01:32:38.0919189Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.0919394Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.0919502Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.0919599Z                        long* __restrict__ out_ptr0,
2022-11-23T01:32:38.0919691Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:38.0919790Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:38.0919852Z {
2022-11-23T01:32:38.0919931Z     #pragma GCC ivdep
2022-11-23T01:32:38.0920011Z     for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:38.0920059Z     {
2022-11-23T01:32:38.0925318Z         {
2022-11-23T01:32:38.0925393Z             {
2022-11-23T01:32:38.0925502Z                 auto tmp0 = static_cast<long>(i0);
2022-11-23T01:32:38.0925603Z                 auto tmp1 = static_cast<long>(1);
2022-11-23T01:32:38.0925691Z                 auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:38.0925787Z                 auto tmp3 = static_cast<long>(2);
2022-11-23T01:32:38.0925876Z                 auto tmp4 = tmp2 ? tmp1 : tmp3;
2022-11-23T01:32:38.0925963Z                 auto tmp5 = tmp4 + tmp1;
2022-11-23T01:32:38.0926045Z                 out_ptr0[i0] = tmp5;
2022-11-23T01:32:38.0926109Z             }
2022-11-23T01:32:38.0926172Z         }
2022-11-23T01:32:38.0926234Z     }
2022-11-23T01:32:38.0926299Z     #pragma GCC ivdep
2022-11-23T01:32:38.0926377Z     for(long i0=0; i0<3; i0+=1)
2022-11-23T01:32:38.0926440Z     {
2022-11-23T01:32:38.0926503Z         {
2022-11-23T01:32:38.0926566Z             {
2022-11-23T01:32:38.0926665Z                 auto tmp0 = static_cast<long>(i0);
2022-11-23T01:32:38.0926762Z                 auto tmp1 = static_cast<long>(1);
2022-11-23T01:32:38.0926835Z                 auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:38.0926929Z                 auto tmp3 = static_cast<long>(2);
2022-11-23T01:32:38.0927013Z                 auto tmp4 = tmp0 < tmp3;
2022-11-23T01:32:38.0927106Z                 auto tmp5 = static_cast<long>(3);
2022-11-23T01:32:38.0927294Z                 auto tmp6 = tmp4 ? tmp3 : tmp5;
2022-11-23T01:32:38.0927390Z                 auto tmp7 = tmp2 ? tmp1 : tmp6;
2022-11-23T01:32:38.0927477Z                 auto tmp8 = tmp7 + tmp3;
2022-11-23T01:32:38.0927546Z                 out_ptr1[i0] = tmp8;
2022-11-23T01:32:38.0927608Z             }
2022-11-23T01:32:38.0927670Z         }
2022-11-23T01:32:38.0927735Z     }
2022-11-23T01:32:38.0927873Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.0927936Z     {
2022-11-23T01:32:38.0928013Z         #pragma omp for 
2022-11-23T01:32:38.0928083Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:38.0928147Z         {
2022-11-23T01:32:38.0928211Z             {
2022-11-23T01:32:38.0928275Z                 {
2022-11-23T01:32:38.0928368Z                     auto tmp12 = in_ptr0[i0];
2022-11-23T01:32:38.0928469Z                     auto tmp0 = static_cast<long>(i0);
2022-11-23T01:32:38.0928570Z                     auto tmp1 = static_cast<long>(2);
2022-11-23T01:32:38.0928651Z                     auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:38.0928751Z                     auto tmp3 = static_cast<long>(1);
2022-11-23T01:32:38.0928841Z                     auto tmp4 = tmp0 < tmp3;
2022-11-23T01:32:38.0928938Z                     auto tmp5 = tmp4 ? tmp3 : tmp1;
2022-11-23T01:32:38.0929037Z                     auto tmp6 = static_cast<long>(3);
2022-11-23T01:32:38.0929125Z                     auto tmp7 = tmp0 < tmp6;
2022-11-23T01:32:38.0929226Z                     auto tmp8 = static_cast<long>(4);
2022-11-23T01:32:38.0929308Z                     auto tmp9 = tmp7 ? tmp6 : tmp8;
2022-11-23T01:32:38.0929405Z                     auto tmp10 = tmp2 ? tmp5 : tmp9;
2022-11-23T01:32:38.0929512Z                     auto tmp11 = static_cast<float>(tmp10);
2022-11-23T01:32:38.0929605Z                     auto tmp13 = tmp11 + tmp12;
2022-11-23T01:32:38.0929690Z                     out_ptr2[i0] = tmp13;
2022-11-23T01:32:38.0929755Z                 }
2022-11-23T01:32:38.0929819Z             }
2022-11-23T01:32:38.0929868Z         }
2022-11-23T01:32:38.0929928Z     }
2022-11-23T01:32:38.0929987Z }
2022-11-23T01:32:38.0930089Z ''')
2022-11-23T01:32:38.0930104Z 
2022-11-23T01:32:38.0930108Z 
2022-11-23T01:32:38.0930202Z async_compile.wait(globals())
2022-11-23T01:32:38.0930274Z del async_compile
2022-11-23T01:32:38.0930278Z 
2022-11-23T01:32:38.0930347Z def call(args):
2022-11-23T01:32:38.0930404Z     arg0_1, = args
2022-11-23T01:32:38.0930475Z     args.clear()
2022-11-23T01:32:38.0930675Z     buf0 = empty_strided((0, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0930864Z     buf1 = empty_strided((2, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:38.0931051Z     buf2 = empty_strided((3, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:38.0931238Z     buf3 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0931431Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:38.0931501Z     del arg0_1
2022-11-23T01:32:38.0931577Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:38.0931583Z 
2022-11-23T01:32:38.0931587Z 
2022-11-23T01:32:38.0931664Z if __name__ == "__main__":
2022-11-23T01:32:38.0931777Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.0931899Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.0932092Z     arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.0932197Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.0932202Z 
2022-11-23T01:32:38.0932268Z ok (2.692s)
2022-11-23T01:32:38.0932601Z   test_tmp_not_defined_issue1_cpu (__main__.CpuTests) ... [2022-11-23 01:28:26,114] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.0932860Z [2022-11-23 01:28:26,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.0933109Z [2022-11-23 01:28:26,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.0933362Z [2022-11-23 01:28:26,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.0933647Z [2022-11-23 01:28:26,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.0934017Z [2022-11-23 01:28:26,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.0934357Z [2022-11-23 01:28:26,116] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f63ca420, file "inductor/test_torchinductor.py", line 4382> 
2022-11-23T01:32:38.0934454Z  4390           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0934546Z                2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:38.0934637Z                4 LOAD_ATTR                2 (prims)
2022-11-23T01:32:38.0934717Z                6 LOAD_ATTR                3 (var)
2022-11-23T01:32:38.0934810Z                8 LOAD_ATTR                4 (default)
2022-11-23T01:32:38.0934815Z 
2022-11-23T01:32:38.0934933Z 4391          10 LOAD_FAST                3 (convert_element_type_default)
2022-11-23T01:32:38.0935022Z               12 LOAD_CONST               1 (2)
2022-11-23T01:32:38.0935108Z               14 BUILD_LIST               1
2022-11-23T01:32:38.0935199Z               16 LOAD_CONST               2 (0)
2022-11-23T01:32:38.0935358Z               18 LOAD_CONST               3 (('correction',))
2022-11-23T01:32:38.0935450Z               20 CALL_FUNCTION_KW         3
2022-11-23T01:32:38.0935536Z               22 STORE_FAST               6 (var_default)
2022-11-23T01:32:38.0935542Z 
2022-11-23T01:32:38.0935633Z 4393          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0935723Z               26 LOAD_ATTR                1 (ops)
2022-11-23T01:32:38.0935812Z               28 LOAD_ATTR                5 (aten)
2022-11-23T01:32:38.0935903Z               30 LOAD_ATTR                6 (sub)
2022-11-23T01:32:38.0935997Z               32 LOAD_METHOD              7 (Tensor)
2022-11-23T01:32:38.0936093Z               34 LOAD_FAST                2 (add_tensor)
2022-11-23T01:32:38.0936177Z               36 LOAD_FAST                4 (div_default)
2022-11-23T01:32:38.0936265Z               38 CALL_METHOD              2
2022-11-23T01:32:38.0936362Z               40 STORE_FAST               7 (sub_tensor)
2022-11-23T01:32:38.0936367Z 
2022-11-23T01:32:38.0936458Z 4394          42 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0936546Z               44 LOAD_ATTR                1 (ops)
2022-11-23T01:32:38.0936635Z               46 LOAD_ATTR                5 (aten)
2022-11-23T01:32:38.0936725Z               48 LOAD_ATTR                8 (mul)
2022-11-23T01:32:38.0936818Z               50 LOAD_METHOD              7 (Tensor)
2022-11-23T01:32:38.0936901Z               52 LOAD_FAST                7 (sub_tensor)
2022-11-23T01:32:38.0937009Z               54 LOAD_FAST                5 (reciprocal_default)
2022-11-23T01:32:38.0937097Z               56 CALL_METHOD              2
2022-11-23T01:32:38.0937196Z               58 STORE_FAST               8 (mul_tensor_1)
2022-11-23T01:32:38.0937201Z 
2022-11-23T01:32:38.0937292Z 4395          60 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0937381Z               62 LOAD_ATTR                1 (ops)
2022-11-23T01:32:38.0937472Z               64 LOAD_ATTR                5 (aten)
2022-11-23T01:32:38.0937559Z               66 LOAD_ATTR                8 (mul)
2022-11-23T01:32:38.0937640Z               68 LOAD_METHOD              7 (Tensor)
2022-11-23T01:32:38.0937738Z               70 LOAD_FAST                8 (mul_tensor_1)
2022-11-23T01:32:38.0937836Z               72 LOAD_FAST                0 (primals_3)
2022-11-23T01:32:38.0937922Z               74 CALL_METHOD              2
2022-11-23T01:32:38.0938026Z               76 STORE_FAST               9 (mul_tensor_2)
2022-11-23T01:32:38.0938063Z 
2022-11-23T01:32:38.0938156Z 4396          78 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0938243Z               80 LOAD_ATTR                1 (ops)
2022-11-23T01:32:38.0938320Z               82 LOAD_ATTR                5 (aten)
2022-11-23T01:32:38.0938406Z               84 LOAD_ATTR                9 (add)
2022-11-23T01:32:38.0938498Z               86 LOAD_METHOD              7 (Tensor)
2022-11-23T01:32:38.0938624Z               88 LOAD_FAST                9 (mul_tensor_2)
2022-11-23T01:32:38.0938721Z               90 LOAD_FAST                1 (primals_4)
2022-11-23T01:32:38.0938808Z               92 CALL_METHOD              2
2022-11-23T01:32:38.0938908Z               94 STORE_FAST              10 (add_tensor_2)
2022-11-23T01:32:38.0938912Z 
2022-11-23T01:32:38.0939004Z 4398          96 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0939079Z               98 LOAD_ATTR                1 (ops)
2022-11-23T01:32:38.0939168Z              100 LOAD_ATTR                2 (prims)
2022-11-23T01:32:38.0939279Z              102 LOAD_ATTR               10 (convert_element_type)
2022-11-23T01:32:38.0939373Z              104 LOAD_METHOD              4 (default)
2022-11-23T01:32:38.0939378Z 
2022-11-23T01:32:38.0939476Z 4399         106 LOAD_FAST               10 (add_tensor_2)
2022-11-23T01:32:38.0939569Z              108 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0939662Z              110 LOAD_ATTR               11 (float32)
2022-11-23T01:32:38.0939750Z              112 CALL_METHOD              2
2022-11-23T01:32:38.0939861Z              114 STORE_FAST              11 (convert_element_type_default_1)
2022-11-23T01:32:38.0939865Z 
2022-11-23T01:32:38.0939954Z 4403         116 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0940042Z              118 LOAD_ATTR                1 (ops)
2022-11-23T01:32:38.0940133Z              120 LOAD_ATTR                2 (prims)
2022-11-23T01:32:38.0940242Z              122 LOAD_ATTR               10 (convert_element_type)
2022-11-23T01:32:38.0940338Z              124 LOAD_METHOD              4 (default)
2022-11-23T01:32:38.0940342Z 
2022-11-23T01:32:38.0940463Z 4404         126 LOAD_FAST               11 (convert_element_type_default_1)
2022-11-23T01:32:38.0940553Z              128 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0940633Z              130 LOAD_ATTR               11 (float32)
2022-11-23T01:32:38.0940718Z              132 CALL_METHOD              2
2022-11-23T01:32:38.0940842Z              134 STORE_FAST              12 (convert_element_type_default_2)
2022-11-23T01:32:38.0940847Z 
2022-11-23T01:32:38.0940937Z 4407         136 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0941027Z              138 LOAD_ATTR                1 (ops)
2022-11-23T01:32:38.0941117Z              140 LOAD_ATTR                2 (prims)
2022-11-23T01:32:38.0941205Z              142 LOAD_ATTR                3 (var)
2022-11-23T01:32:38.0941284Z              144 LOAD_ATTR                4 (default)
2022-11-23T01:32:38.0941304Z 
2022-11-23T01:32:38.0941408Z 4408         146 LOAD_FAST               12 (convert_element_type_default_2)
2022-11-23T01:32:38.0941496Z              148 LOAD_CONST               1 (2)
2022-11-23T01:32:38.0941582Z              150 BUILD_LIST               1
2022-11-23T01:32:38.0941669Z              152 LOAD_CONST               2 (0)
2022-11-23T01:32:38.0941831Z              154 LOAD_CONST               3 (('correction',))
2022-11-23T01:32:38.0941923Z              156 CALL_FUNCTION_KW         3
2022-11-23T01:32:38.0942026Z              158 STORE_FAST              13 (var_default_1)
2022-11-23T01:32:38.0942031Z 
2022-11-23T01:32:38.0942110Z 4410         160 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0942199Z              162 LOAD_ATTR                1 (ops)
2022-11-23T01:32:38.0942288Z              164 LOAD_ATTR                2 (prims)
2022-11-23T01:32:38.0942392Z              166 LOAD_ATTR               12 (broadcast_in_dim)
2022-11-23T01:32:38.0942486Z              168 LOAD_METHOD              4 (default)
2022-11-23T01:32:38.0942520Z 
2022-11-23T01:32:38.0942620Z 4411         170 LOAD_FAST               13 (var_default_1)
2022-11-23T01:32:38.0942708Z              172 LOAD_CONST               4 (1)
2022-11-23T01:32:38.0942798Z              174 LOAD_CONST               5 (512)
2022-11-23T01:32:38.0942872Z              176 LOAD_CONST               4 (1)
2022-11-23T01:32:38.0942957Z              178 BUILD_LIST               3
2022-11-23T01:32:38.0943074Z              180 LOAD_CONST               2 (0)
2022-11-23T01:32:38.0943161Z              182 LOAD_CONST               4 (1)
2022-11-23T01:32:38.0943245Z              184 BUILD_LIST               2
2022-11-23T01:32:38.0943331Z              186 CALL_METHOD              3
2022-11-23T01:32:38.0943448Z              188 STORE_FAST              14 (broadcast_in_dim_default_2)
2022-11-23T01:32:38.0943453Z 
2022-11-23T01:32:38.0943544Z 4413         190 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0943621Z              192 LOAD_ATTR                1 (ops)
2022-11-23T01:32:38.0943714Z              194 LOAD_ATTR                2 (prims)
2022-11-23T01:32:38.0943801Z              196 LOAD_ATTR               13 (sum)
2022-11-23T01:32:38.0943896Z              198 LOAD_METHOD              4 (default)
2022-11-23T01:32:38.0943901Z 
2022-11-23T01:32:38.0944020Z 4414         200 LOAD_FAST               12 (convert_element_type_default_2)
2022-11-23T01:32:38.0944106Z              202 LOAD_CONST               1 (2)
2022-11-23T01:32:38.0944194Z              204 BUILD_LIST               1
2022-11-23T01:32:38.0944268Z              206 CALL_METHOD              2
2022-11-23T01:32:38.0944368Z              208 STORE_FAST              15 (sum_default_1)
2022-11-23T01:32:38.0944374Z 
2022-11-23T01:32:38.0944557Z 4416         210 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.0944651Z              212 LOAD_ATTR                1 (ops)
2022-11-23T01:32:38.0944740Z              214 LOAD_ATTR                5 (aten)
2022-11-23T01:32:38.0944827Z              216 LOAD_ATTR                9 (add)
2022-11-23T01:32:38.0944923Z              218 LOAD_METHOD              7 (Tensor)
2022-11-23T01:32:38.0945039Z              220 LOAD_FAST               14 (broadcast_in_dim_default_2)
2022-11-23T01:32:38.0945175Z              222 LOAD_CONST               6 (1e-05)
2022-11-23T01:32:38.0945261Z              224 CALL_METHOD              2
2022-11-23T01:32:38.0945363Z              226 STORE_FAST              16 (add_tensor_3)
2022-11-23T01:32:38.0945369Z 
2022-11-23T01:32:38.0945469Z 4417         228 LOAD_FAST                6 (var_default)
2022-11-23T01:32:38.0945570Z              230 LOAD_FAST               15 (sum_default_1)
2022-11-23T01:32:38.0945668Z              232 LOAD_FAST               16 (add_tensor_3)
2022-11-23T01:32:38.0945755Z              234 BUILD_TUPLE              3
2022-11-23T01:32:38.0945831Z              236 RETURN_VALUE
2022-11-23T01:32:38.0945879Z  
2022-11-23T01:32:38.0945883Z 
2022-11-23T01:32:38.0946157Z [2022-11-23 01:28:26,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4390
2022-11-23T01:32:38.0946378Z [2022-11-23 01:28:26,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.0946744Z [2022-11-23 01:28:26,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0947040Z [2022-11-23 01:28:26,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:38.0947347Z [2022-11-23 01:28:26,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:38.0947607Z [2022-11-23 01:28:26,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.var)]
2022-11-23T01:32:38.0947871Z [2022-11-23 01:28:26,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4391
2022-11-23T01:32:38.0948214Z [2022-11-23 01:28:26,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default [TorchVariable(prims.var.default)]
2022-11-23T01:32:38.0948505Z [2022-11-23 01:28:26,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(prims.var.default), TensorVariable()]
2022-11-23T01:32:38.0948850Z [2022-11-23 01:28:26,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(prims.var.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0949168Z [2022-11-23 01:28:26,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(prims.var.default), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.0949544Z [2022-11-23 01:28:26,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('correction',) [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0949952Z [2022-11-23 01:28:26,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:38.0950210Z [2022-11-23 01:28:26,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST var_default [TensorVariable()]
2022-11-23T01:32:38.0950478Z [2022-11-23 01:28:26,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4393
2022-11-23T01:32:38.0950698Z [2022-11-23 01:28:26,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.0951057Z [2022-11-23 01:28:26,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0951350Z [2022-11-23 01:28:26,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:38.0951653Z [2022-11-23 01:28:26,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.0951911Z [2022-11-23 01:28:26,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.sub)]
2022-11-23T01:32:38.0952169Z [2022-11-23 01:28:26,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST add_tensor [TorchVariable(aten.sub.Tensor)]
2022-11-23T01:32:38.0952474Z [2022-11-23 01:28:26,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST div_default [TorchVariable(aten.sub.Tensor), TensorVariable()]
2022-11-23T01:32:38.0952796Z [2022-11-23 01:28:26,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.sub.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0953049Z [2022-11-23 01:28:26,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST sub_tensor [TensorVariable()]
2022-11-23T01:32:38.0953317Z [2022-11-23 01:28:26,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4394
2022-11-23T01:32:38.0953537Z [2022-11-23 01:28:26,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.0953897Z [2022-11-23 01:28:26,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0954191Z [2022-11-23 01:28:26,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:38.0954491Z [2022-11-23 01:28:26,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.0954749Z [2022-11-23 01:28:26,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.mul)]
2022-11-23T01:32:38.0955008Z [2022-11-23 01:28:26,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sub_tensor [TorchVariable(aten.mul.Tensor)]
2022-11-23T01:32:38.0955356Z [2022-11-23 01:28:26,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST reciprocal_default [TorchVariable(aten.mul.Tensor), TensorVariable()]
2022-11-23T01:32:38.0955677Z [2022-11-23 01:28:26,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.mul.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0955930Z [2022-11-23 01:28:26,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mul_tensor_1 [TensorVariable()]
2022-11-23T01:32:38.0956225Z [2022-11-23 01:28:26,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4395
2022-11-23T01:32:38.0956446Z [2022-11-23 01:28:26,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.0956809Z [2022-11-23 01:28:26,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0957100Z [2022-11-23 01:28:26,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:38.0957526Z [2022-11-23 01:28:26,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.0957783Z [2022-11-23 01:28:26,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.mul)]
2022-11-23T01:32:38.0958047Z [2022-11-23 01:28:26,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mul_tensor_1 [TorchVariable(aten.mul.Tensor)]
2022-11-23T01:32:38.0958351Z [2022-11-23 01:28:26,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST primals_3 [TorchVariable(aten.mul.Tensor), TensorVariable()]
2022-11-23T01:32:38.0958676Z [2022-11-23 01:28:26,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.mul.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0958930Z [2022-11-23 01:28:26,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mul_tensor_2 [TensorVariable()]
2022-11-23T01:32:38.0959199Z [2022-11-23 01:28:26,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4396
2022-11-23T01:32:38.0959418Z [2022-11-23 01:28:26,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.0959785Z [2022-11-23 01:28:26,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0960076Z [2022-11-23 01:28:26,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:38.0960381Z [2022-11-23 01:28:26,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.0960637Z [2022-11-23 01:28:26,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.add)]
2022-11-23T01:32:38.0960918Z [2022-11-23 01:28:26,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mul_tensor_2 [TorchVariable(aten.add.Tensor)]
2022-11-23T01:32:38.0961207Z [2022-11-23 01:28:26,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST primals_4 [TorchVariable(aten.add.Tensor), TensorVariable()]
2022-11-23T01:32:38.0961530Z [2022-11-23 01:28:26,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.add.Tensor), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0961785Z [2022-11-23 01:28:26,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST add_tensor_2 [TensorVariable()]
2022-11-23T01:32:38.0962052Z [2022-11-23 01:28:26,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4398
2022-11-23T01:32:38.0962270Z [2022-11-23 01:28:26,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.0962632Z [2022-11-23 01:28:26,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0962988Z [2022-11-23 01:28:26,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:38.0963354Z [2022-11-23 01:28:26,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convert_element_type [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:38.0963642Z [2022-11-23 01:28:26,201] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.convert_element_type)]
2022-11-23T01:32:38.0963906Z [2022-11-23 01:28:26,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4399
2022-11-23T01:32:38.0964198Z [2022-11-23 01:28:26,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST add_tensor_2 [TorchVariable(prims.convert_element_type.default)]
2022-11-23T01:32:38.0964527Z [2022-11-23 01:28:26,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(prims.convert_element_type.default), TensorVariable()]
2022-11-23T01:32:38.0965009Z [2022-11-23 01:28:26,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TorchVariable(prims.convert_element_type.default), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0965379Z [2022-11-23 01:28:26,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.convert_element_type.default), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:32:38.0965659Z [2022-11-23 01:28:26,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convert_element_type_default_1 [TensorVariable()]
2022-11-23T01:32:38.0965924Z [2022-11-23 01:28:26,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4403
2022-11-23T01:32:38.0966140Z [2022-11-23 01:28:26,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.0966502Z [2022-11-23 01:28:26,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0966795Z [2022-11-23 01:28:26,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:38.0967129Z [2022-11-23 01:28:26,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convert_element_type [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:38.0967414Z [2022-11-23 01:28:26,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.convert_element_type)]
2022-11-23T01:32:38.0967677Z [2022-11-23 01:28:26,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4404
2022-11-23T01:32:38.0967999Z [2022-11-23 01:28:26,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default_1 [TorchVariable(prims.convert_element_type.default)]
2022-11-23T01:32:38.0968329Z [2022-11-23 01:28:26,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(prims.convert_element_type.default), TensorVariable()]
2022-11-23T01:32:38.0968810Z [2022-11-23 01:28:26,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TorchVariable(prims.convert_element_type.default), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0969174Z [2022-11-23 01:28:26,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.convert_element_type.default), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:32:38.0969455Z [2022-11-23 01:28:26,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convert_element_type_default_2 [TensorVariable()]
2022-11-23T01:32:38.0969718Z [2022-11-23 01:28:26,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4407
2022-11-23T01:32:38.0969964Z [2022-11-23 01:28:26,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.0970320Z [2022-11-23 01:28:26,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0970639Z [2022-11-23 01:28:26,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:38.0970942Z [2022-11-23 01:28:26,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:38.0971200Z [2022-11-23 01:28:26,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.var)]
2022-11-23T01:32:38.0971449Z [2022-11-23 01:28:26,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4408
2022-11-23T01:32:38.0971761Z [2022-11-23 01:28:26,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default_2 [TorchVariable(prims.var.default)]
2022-11-23T01:32:38.0972054Z [2022-11-23 01:28:26,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(prims.var.default), TensorVariable()]
2022-11-23T01:32:38.0972387Z [2022-11-23 01:28:26,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(prims.var.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0972704Z [2022-11-23 01:28:26,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(prims.var.default), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.0973076Z [2022-11-23 01:28:26,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('correction',) [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0973484Z [2022-11-23 01:28:26,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:38.0973738Z [2022-11-23 01:28:26,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST var_default_1 [TensorVariable()]
2022-11-23T01:32:38.0973999Z [2022-11-23 01:28:26,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4410
2022-11-23T01:32:38.0974216Z [2022-11-23 01:28:26,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.0974570Z [2022-11-23 01:28:26,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0974851Z [2022-11-23 01:28:26,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:38.0975179Z [2022-11-23 01:28:26,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR broadcast_in_dim [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:38.0975457Z [2022-11-23 01:28:26,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.broadcast_in_dim)]
2022-11-23T01:32:38.0975721Z [2022-11-23 01:28:26,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4411
2022-11-23T01:32:38.0976025Z [2022-11-23 01:28:26,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST var_default_1 [TorchVariable(prims.broadcast_in_dim.default)]
2022-11-23T01:32:38.0976335Z [2022-11-23 01:28:26,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable()]
2022-11-23T01:32:38.0976684Z [2022-11-23 01:28:26,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 512 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0977103Z [2022-11-23 01:28:26,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.0977524Z [2022-11-23 01:28:26,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.0977898Z [2022-11-23 01:28:26,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.0978272Z [2022-11-23 01:28:26,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0978686Z [2022-11-23 01:28:26,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.0979053Z [2022-11-23 01:28:26,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:38.0979316Z [2022-11-23 01:28:26,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST broadcast_in_dim_default_2 [TensorVariable()]
2022-11-23T01:32:38.0979584Z [2022-11-23 01:28:26,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4413
2022-11-23T01:32:38.0979799Z [2022-11-23 01:28:26,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.0980155Z [2022-11-23 01:28:26,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0980448Z [2022-11-23 01:28:26,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:38.0980756Z [2022-11-23 01:28:26,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable(<module 'torch.ops.prims' from 'torch.ops'>)]
2022-11-23T01:32:38.0981015Z [2022-11-23 01:28:26,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.sum)]
2022-11-23T01:32:38.0981281Z [2022-11-23 01:28:26,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4414
2022-11-23T01:32:38.0981588Z [2022-11-23 01:28:26,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default_2 [TorchVariable(prims.sum.default)]
2022-11-23T01:32:38.0981880Z [2022-11-23 01:28:26,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(prims.sum.default), TensorVariable()]
2022-11-23T01:32:38.0982199Z [2022-11-23 01:28:26,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(prims.sum.default), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.0982524Z [2022-11-23 01:28:26,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.sum.default), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.0982778Z [2022-11-23 01:28:26,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST sum_default_1 [TensorVariable()]
2022-11-23T01:32:38.0983043Z [2022-11-23 01:28:26,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4416
2022-11-23T01:32:38.0983259Z [2022-11-23 01:28:26,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.0983616Z [2022-11-23 01:28:26,266] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.0983904Z [2022-11-23 01:28:26,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:38.0984248Z [2022-11-23 01:28:26,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.0984577Z [2022-11-23 01:28:26,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.add)]
2022-11-23T01:32:38.0984918Z [2022-11-23 01:28:26,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST broadcast_in_dim_default_2 [TorchVariable(aten.add.Tensor)]
2022-11-23T01:32:38.0985215Z [2022-11-23 01:28:26,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1e-05 [TorchVariable(aten.add.Tensor), TensorVariable()]
2022-11-23T01:32:38.0985535Z [2022-11-23 01:28:26,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.add.Tensor), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:38.0985785Z [2022-11-23 01:28:26,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST add_tensor_3 [TensorVariable()]
2022-11-23T01:32:38.0986052Z [2022-11-23 01:28:26,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4417
2022-11-23T01:32:38.0986276Z [2022-11-23 01:28:26,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST var_default []
2022-11-23T01:32:38.0986527Z [2022-11-23 01:28:26,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sum_default_1 [TensorVariable()]
2022-11-23T01:32:38.0986812Z [2022-11-23 01:28:26,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST add_tensor_3 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0987109Z [2022-11-23 01:28:26,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.0987354Z [2022-11-23 01:28:26,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0987691Z [2022-11-23 01:28:26,281] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f63ca420, file "inductor/test_torchinductor.py", line 4382>
2022-11-23T01:32:38.0987937Z [2022-11-23 01:28:26,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.0988159Z [2022-11-23 01:28:26,281] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.0988414Z [2022-11-23 01:28:26,284] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.0988660Z [2022-11-23 01:28:26,306] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.0988849Z [2022-11-23 01:28:26,306] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.0988983Z  __compiled_fn_399 <eval_with_key>.2468 opcode, name, target, args, kwargs
2022-11-23T01:32:38.0989074Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.0989161Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.0989245Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:38.0989318Z placeholder, ex_3_, ex_3_, (), {}
2022-11-23T01:32:38.0989400Z placeholder, ex_4_, ex_4_, (), {}
2022-11-23T01:32:38.0989482Z placeholder, ex_5_, ex_5_, (), {}
2022-11-23T01:32:38.0989691Z call_function, var_default, prims.var.default, (ex_3_, [2]), {'correction': 0}
2022-11-23T01:32:38.0989818Z call_function, sub_tensor, aten.sub.Tensor, (ex_2_, ex_4_), {}
2022-11-23T01:32:38.0989952Z call_function, mul_tensor, aten.mul.Tensor, (sub_tensor, ex_5_), {}
2022-11-23T01:32:38.0990084Z call_function, mul_tensor_1, aten.mul.Tensor, (mul_tensor, ex_0_), {}
2022-11-23T01:32:38.0990201Z call_function, add_tensor, aten.add.Tensor, (mul_tensor_1, ex_1_), {}
2022-11-23T01:32:38.0990394Z call_function, convert_element_type_default, prims.convert_element_type.default, (add_tensor, torch.float32), {}
2022-11-23T01:32:38.0990603Z call_function, convert_element_type_default_1, prims.convert_element_type.default, (convert_element_type_default, torch.float32), {}
2022-11-23T01:32:38.0990900Z call_function, var_default_1, prims.var.default, (convert_element_type_default_1, [2]), {'correction': 0}
2022-11-23T01:32:38.0991075Z call_function, broadcast_in_dim_default, prims.broadcast_in_dim.default, (var_default_1, [1, 512, 1], [0, 1]), {}
2022-11-23T01:32:38.0991233Z call_function, sum_default, prims.sum.default, (convert_element_type_default_1, [2]), {}
2022-11-23T01:32:38.0991452Z call_function, add_tensor_1, aten.add.Tensor, (broadcast_in_dim_default, 1e-05), {}
2022-11-23T01:32:38.0991617Z output, output, output, ((var_default, sum_default, add_tensor_1),), {}
2022-11-23T01:32:38.0991625Z 
2022-11-23T01:32:38.0991904Z [2022-11-23 01:28:26,307] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0991988Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.0992077Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0992168Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.0992260Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.0992335Z               8 RETURN_VALUE
2022-11-23T01:32:38.0992340Z 
2022-11-23T01:32:38.0992402Z  
2022-11-23T01:32:38.0992675Z [2022-11-23 01:28:26,307] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.0992783Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_399)
2022-11-23T01:32:38.0992862Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0992954Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0993031Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.0993120Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0993207Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0993281Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.0993367Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0993440Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:38.0993515Z              18 BINARY_SUBSCR
2022-11-23T01:32:38.0993601Z              20 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0993685Z              22 LOAD_CONST               4 (3)
2022-11-23T01:32:38.0993758Z              24 BINARY_SUBSCR
2022-11-23T01:32:38.0993846Z              26 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0993930Z              28 LOAD_CONST               5 (4)
2022-11-23T01:32:38.0993992Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.0994079Z              32 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.0994164Z              34 LOAD_CONST               6 (5)
2022-11-23T01:32:38.0994240Z              36 BINARY_SUBSCR
2022-11-23T01:32:38.0994328Z              38 CALL_FUNCTION            6
2022-11-23T01:32:38.0994431Z              40 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.0994531Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0994607Z              44 LOAD_CONST               1 (0)
2022-11-23T01:32:38.0994684Z              46 BINARY_SUBSCR
2022-11-23T01:32:38.0994788Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0994875Z              50 LOAD_CONST               2 (1)
2022-11-23T01:32:38.0994951Z              52 BINARY_SUBSCR
2022-11-23T01:32:38.0995050Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.0995137Z              56 LOAD_CONST               3 (2)
2022-11-23T01:32:38.0995198Z              58 BINARY_SUBSCR
2022-11-23T01:32:38.0995287Z              60 BUILD_TUPLE              3
2022-11-23T01:32:38.0995365Z              62 RETURN_VALUE
2022-11-23T01:32:38.0995370Z 
2022-11-23T01:32:38.0995431Z  
2022-11-23T01:32:38.0995614Z [2022-11-23 01:28:26,309] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.0995684Z  - 
2022-11-23T01:32:38.0995802Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.0995853Z             {
2022-11-23T01:32:38.0995992Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.0996209Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 6'],
2022-11-23T01:32:38.0996328Z                 'obj_weakref': None
2022-11-23T01:32:38.0996551Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.0996615Z             }
2022-11-23T01:32:38.0996679Z             
2022-11-23T01:32:38.0996736Z  - 
2022-11-23T01:32:38.0996859Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.0996951Z             {
2022-11-23T01:32:38.0997094Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0997322Z                 'code': None,
2022-11-23T01:32:38.0997530Z                 'obj_weakref': <weakref at 0x7f71064fa590; to 'Tensor' at 0x7f7106699ef0>
2022-11-23T01:32:38.0997780Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0997844Z             }
2022-11-23T01:32:38.0997895Z             
2022-11-23T01:32:38.0997965Z  - 
2022-11-23T01:32:38.0998087Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.0998150Z             {
2022-11-23T01:32:38.0998293Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0998398Z                 'code': None,
2022-11-23T01:32:38.0998591Z                 'obj_weakref': <weakref at 0x7f71188f68f0; to 'Tensor' at 0x7f71066990b0>
2022-11-23T01:32:38.0998844Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0998907Z             }
2022-11-23T01:32:38.0998970Z             
2022-11-23T01:32:38.0999037Z  - 
2022-11-23T01:32:38.0999159Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:38.0999222Z             {
2022-11-23T01:32:38.0999350Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.0999456Z                 'code': None,
2022-11-23T01:32:38.0999656Z                 'obj_weakref': <weakref at 0x7f7106737770; to 'Tensor' at 0x7f7106699830>
2022-11-23T01:32:38.0999904Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.0999967Z             }
2022-11-23T01:32:38.1000030Z             
2022-11-23T01:32:38.1000097Z  - 
2022-11-23T01:32:38.1000206Z             local 'ex[3]' TENSOR_MATCH
2022-11-23T01:32:38.1000268Z             {
2022-11-23T01:32:38.1000407Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1000511Z                 'code': None,
2022-11-23T01:32:38.1000719Z                 'obj_weakref': <weakref at 0x7f71188f0f50; to 'Tensor' at 0x7f71066999b0>
2022-11-23T01:32:38.1000963Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1001028Z             }
2022-11-23T01:32:38.1001091Z             
2022-11-23T01:32:38.1001147Z  - 
2022-11-23T01:32:38.1001268Z             local 'ex[4]' TENSOR_MATCH
2022-11-23T01:32:38.1001330Z             {
2022-11-23T01:32:38.1001471Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1001577Z                 'code': None,
2022-11-23T01:32:38.1001780Z                 'obj_weakref': <weakref at 0x7f7106d803b0; to 'Tensor' at 0x7f710667e650>
2022-11-23T01:32:38.1002026Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1002076Z             }
2022-11-23T01:32:38.1002138Z             
2022-11-23T01:32:38.1002206Z  - 
2022-11-23T01:32:38.1002329Z             local 'ex[5]' TENSOR_MATCH
2022-11-23T01:32:38.1002390Z             {
2022-11-23T01:32:38.1002529Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1002621Z                 'code': None,
2022-11-23T01:32:38.1002826Z                 'obj_weakref': <weakref at 0x7f71068ecd70; to 'Tensor' at 0x7f710667e470>
2022-11-23T01:32:38.1003070Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1003133Z             }
2022-11-23T01:32:38.1003256Z             
2022-11-23T01:32:38.1003325Z  - 
2022-11-23T01:32:38.1003456Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.1003518Z             {
2022-11-23T01:32:38.1003639Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.1003808Z                 'code': ['___check_obj_id(model, 140126565021744)'],
2022-11-23T01:32:38.1003927Z                 'obj_weakref': None
2022-11-23T01:32:38.1004191Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.1004257Z             }
2022-11-23T01:32:38.1004320Z             
2022-11-23T01:32:38.1004390Z  - 
2022-11-23T01:32:38.1004498Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.1004561Z             {
2022-11-23T01:32:38.1004695Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.1004914Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.1005033Z                 'obj_weakref': None
2022-11-23T01:32:38.1005251Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.1005313Z             }
2022-11-23T01:32:38.1005362Z             
2022-11-23T01:32:38.1005430Z  - 
2022-11-23T01:32:38.1005561Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.1005624Z             {
2022-11-23T01:32:38.1005741Z                 'guard_types': None,
2022-11-23T01:32:38.1005849Z                 'code': None,
2022-11-23T01:32:38.1005952Z                 'obj_weakref': None
2022-11-23T01:32:38.1006072Z                 'guarded_class': None
2022-11-23T01:32:38.1006134Z             }
2022-11-23T01:32:38.1006197Z             
2022-11-23T01:32:38.1006266Z  - 
2022-11-23T01:32:38.1006415Z             global 'torch.float32' CONSTANT_MATCH
2022-11-23T01:32:38.1006479Z             {
2022-11-23T01:32:38.1006607Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.1006779Z                 'code': ["str(torch.float32) == 'torch.float32'"],
2022-11-23T01:32:38.1006897Z                 'obj_weakref': None
2022-11-23T01:32:38.1007114Z                 'guarded_class': <weakref at 0x7f71931398f0; to 'type' at 0x7f71f278dc60 (dtype)>
2022-11-23T01:32:38.1007176Z             }
2022-11-23T01:32:38.1007242Z             
2022-11-23T01:32:38.1007503Z [2022-11-23 01:28:26,341] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 391
2022-11-23T01:32:38.1007509Z 
2022-11-23T01:32:38.1007605Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.1007662Z import torch
2022-11-23T01:32:38.1007732Z import random
2022-11-23T01:32:38.1007847Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.1007970Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.1007975Z 
2022-11-23T01:32:38.1008054Z aten = torch.ops.aten
2022-11-23T01:32:38.1008189Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.1008282Z async_compile = AsyncCompile()
2022-11-23T01:32:38.1008289Z 
2022-11-23T01:32:38.1008294Z 
2022-11-23T01:32:38.1008415Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.1008622Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.1008740Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:38.1008843Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:32:38.1008951Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.1009056Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.1009158Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:38.1009263Z                        const float* __restrict__ in_ptr3,
2022-11-23T01:32:38.1009350Z                        const float* __restrict__ in_ptr4,
2022-11-23T01:32:38.1009452Z                        const float* __restrict__ in_ptr5,
2022-11-23T01:32:38.1009552Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.1009717Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:38.1009812Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:38.1009904Z                        float* __restrict__ out_ptr5)
2022-11-23T01:32:38.1009968Z {
2022-11-23T01:32:38.1010041Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:32:38.1010126Z     auto out_ptr4 = in_out_ptr1;
2022-11-23T01:32:38.1010225Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.1010313Z     {
2022-11-23T01:32:38.1010396Z         #pragma omp for 
2022-11-23T01:32:38.1010481Z         for(long i0=0; i0<512; i0+=1)
2022-11-23T01:32:38.1010548Z         {
2022-11-23T01:32:38.1010599Z             {
2022-11-23T01:32:38.1010807Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:38.1010887Z                 float tmp1 = 0;
2022-11-23T01:32:38.1011009Z                 auto tmp1_vec = at::vec::Vectorized<float>(tmp1);
2022-11-23T01:32:38.1011104Z                 for(long i1=0; i1<64; i1+=1)
2022-11-23T01:32:38.1011171Z                 {
2022-11-23T01:32:38.1011318Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (16*i1) + (1024*i0));
2022-11-23T01:32:38.1011400Z                     tmp1_vec += tmp0;
2022-11-23T01:32:38.1011452Z                 }
2022-11-23T01:32:38.1011651Z                 tmp1 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp1_vec);
2022-11-23T01:32:38.1011773Z                 #pragma omp simd simdlen(8)  reduction(+:tmp1)
2022-11-23T01:32:38.1011866Z                 for(long i1=1024; i1<1024; i1+=1)
2022-11-23T01:32:38.1011933Z                 {
2022-11-23T01:32:38.1012035Z                     auto tmp0 = in_ptr0[i1 + (1024*i0)];
2022-11-23T01:32:38.1012113Z                     tmp1 += tmp0;
2022-11-23T01:32:38.1012164Z                 }
2022-11-23T01:32:38.1012248Z                 out_ptr0[i0] = tmp1;
2022-11-23T01:32:38.1012313Z             }
2022-11-23T01:32:38.1012375Z         }
2022-11-23T01:32:38.1012451Z         #pragma omp for 
2022-11-23T01:32:38.1012535Z         for(long i0=0; i0<512; i0+=1)
2022-11-23T01:32:38.1012600Z         {
2022-11-23T01:32:38.1012649Z             {
2022-11-23T01:32:38.1012836Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:38.1012916Z                 float tmp6 = 0;
2022-11-23T01:32:38.1013039Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:32:38.1013130Z                 for(long i1=0; i1<64; i1+=1)
2022-11-23T01:32:38.1013196Z                 {
2022-11-23T01:32:38.1013338Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (16*i1) + (1024*i0));
2022-11-23T01:32:38.1013465Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr0[i0]);
2022-11-23T01:32:38.1013588Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(1024));
2022-11-23T01:32:38.1013682Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:38.1013817Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:38.1013908Z                     auto tmp5 = tmp4.pow(2);
2022-11-23T01:32:38.1013989Z                     tmp6_vec += tmp5;
2022-11-23T01:32:38.1014051Z                 }
2022-11-23T01:32:38.1014254Z                 tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:32:38.1014372Z                 #pragma omp simd simdlen(8)  reduction(+:tmp6)
2022-11-23T01:32:38.1014450Z                 for(long i1=1024; i1<1024; i1+=1)
2022-11-23T01:32:38.1014513Z                 {
2022-11-23T01:32:38.1014613Z                     auto tmp0 = in_ptr0[i1 + (1024*i0)];
2022-11-23T01:32:38.1014704Z                     auto tmp1 = out_ptr0[i0];
2022-11-23T01:32:38.1014807Z                     auto tmp2 = static_cast<float>(1024);
2022-11-23T01:32:38.1014932Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:38.1015065Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:38.1015140Z                     auto tmp5 = tmp4 * tmp4;
2022-11-23T01:32:38.1015217Z                     tmp6 += tmp5;
2022-11-23T01:32:38.1015279Z                 }
2022-11-23T01:32:38.1015359Z                 out_ptr1[i0] = tmp6;
2022-11-23T01:32:38.1015422Z             }
2022-11-23T01:32:38.1015484Z         }
2022-11-23T01:32:38.1015605Z         #pragma omp for 
2022-11-23T01:32:38.1015675Z         for(long i0=0; i0<512; i0+=1)
2022-11-23T01:32:38.1015736Z         {
2022-11-23T01:32:38.1015799Z             {
2022-11-23T01:32:38.1015984Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:38.1016063Z                 float tmp9 = 0;
2022-11-23T01:32:38.1016182Z                 auto tmp9_vec = at::vec::Vectorized<float>(tmp9);
2022-11-23T01:32:38.1016269Z                 for(long i1=0; i1<64; i1+=1)
2022-11-23T01:32:38.1016323Z                 {
2022-11-23T01:32:38.1016462Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + (16*i1) + (1024*i0));
2022-11-23T01:32:38.1016590Z                     auto tmp1 = at::vec::Vectorized<float>(in_ptr2[i0]);
2022-11-23T01:32:38.1016713Z                     auto tmp3 = at::vec::Vectorized<float>(in_ptr3[i0]);
2022-11-23T01:32:38.1016849Z                     auto tmp5 = at::vec::Vectorized<float>::loadu(in_ptr4 + 16*i1);
2022-11-23T01:32:38.1016981Z                     auto tmp7 = at::vec::Vectorized<float>::loadu(in_ptr5 + 16*i1);
2022-11-23T01:32:38.1017115Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:38.1017206Z                     auto tmp4 = tmp2 * tmp3;
2022-11-23T01:32:38.1017293Z                     auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:38.1017367Z                     auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:38.1017473Z                     tmp8.store(out_ptr2 + (16*i1) + (1024*i0));
2022-11-23T01:32:38.1017556Z                     tmp9_vec += tmp8;
2022-11-23T01:32:38.1017619Z                 }
2022-11-23T01:32:38.1017814Z                 tmp9 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp9_vec);
2022-11-23T01:32:38.1017933Z                 #pragma omp simd simdlen(8)  reduction(+:tmp9)
2022-11-23T01:32:38.1018024Z                 for(long i1=1024; i1<1024; i1+=1)
2022-11-23T01:32:38.1018076Z                 {
2022-11-23T01:32:38.1018175Z                     auto tmp0 = in_ptr1[i1 + (1024*i0)];
2022-11-23T01:32:38.1018264Z                     auto tmp1 = in_ptr2[i0];
2022-11-23T01:32:38.1018351Z                     auto tmp3 = in_ptr3[i0];
2022-11-23T01:32:38.1018440Z                     auto tmp5 = in_ptr4[i1];
2022-11-23T01:32:38.1018525Z                     auto tmp7 = in_ptr5[i1];
2022-11-23T01:32:38.1018657Z                     auto tmp2 = tmp0 - tmp1;
2022-11-23T01:32:38.1018731Z                     auto tmp4 = tmp2 * tmp3;
2022-11-23T01:32:38.1018818Z                     auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:38.1018903Z                     auto tmp8 = tmp6 + tmp7;
2022-11-23T01:32:38.1018997Z                     out_ptr2[i1 + (1024*i0)] = tmp8;
2022-11-23T01:32:38.1019075Z                     tmp9 += tmp8;
2022-11-23T01:32:38.1019138Z                 }
2022-11-23T01:32:38.1019218Z                 out_ptr3[i0] = tmp9;
2022-11-23T01:32:38.1019268Z             }
2022-11-23T01:32:38.1019331Z         }
2022-11-23T01:32:38.1019408Z         #pragma omp for 
2022-11-23T01:32:38.1019489Z         for(long i0=0; i0<512; i0+=1)
2022-11-23T01:32:38.1019552Z         {
2022-11-23T01:32:38.1019616Z             {
2022-11-23T01:32:38.1019807Z                 #pragma omp declare reduction(+:at::vec::Vectorized<float>:omp_out += omp_in) initializer(omp_priv={{0}})
2022-11-23T01:32:38.1019873Z                 float tmp6 = 0;
2022-11-23T01:32:38.1019991Z                 auto tmp6_vec = at::vec::Vectorized<float>(tmp6);
2022-11-23T01:32:38.1020098Z                 float tmp7 = 0;
2022-11-23T01:32:38.1020216Z                 auto tmp7_vec = at::vec::Vectorized<float>(tmp7);
2022-11-23T01:32:38.1020304Z                 for(long i1=0; i1<64; i1+=1)
2022-11-23T01:32:38.1020368Z                 {
2022-11-23T01:32:38.1020513Z                     auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr2 + (16*i1) + (1024*i0));
2022-11-23T01:32:38.1020638Z                     auto tmp1 = at::vec::Vectorized<float>(out_ptr3[i0]);
2022-11-23T01:32:38.1020823Z                     auto tmp2 = at::vec::Vectorized<float>(static_cast<float>(1024));
2022-11-23T01:32:38.1020902Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:38.1021038Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:38.1021127Z                     auto tmp5 = tmp4.pow(2);
2022-11-23T01:32:38.1021207Z                     tmp6_vec += tmp5;
2022-11-23T01:32:38.1021285Z                     tmp7_vec += tmp0;
2022-11-23T01:32:38.1021348Z                 }
2022-11-23T01:32:38.1021547Z                 tmp6 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp6_vec);
2022-11-23T01:32:38.1021742Z                 tmp7 = at::vec::vec_reduce_all<float>([](at::vec::Vectorized<float>& x, at::vec::Vectorized<float>&y) {return x + y;}, tmp7_vec);
2022-11-23T01:32:38.1021869Z                 #pragma omp simd simdlen(8)  reduction(+:tmp6) reduction(+:tmp7)
2022-11-23T01:32:38.1021962Z                 for(long i1=1024; i1<1024; i1+=1)
2022-11-23T01:32:38.1022025Z                 {
2022-11-23T01:32:38.1022127Z                     auto tmp0 = out_ptr2[i1 + (1024*i0)];
2022-11-23T01:32:38.1022221Z                     auto tmp1 = out_ptr3[i0];
2022-11-23T01:32:38.1022325Z                     auto tmp2 = static_cast<float>(1024);
2022-11-23T01:32:38.1022414Z                     auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:38.1022535Z                     auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:38.1022621Z                     auto tmp5 = tmp4 * tmp4;
2022-11-23T01:32:38.1022700Z                     tmp6 += tmp5;
2022-11-23T01:32:38.1022776Z                     tmp7 += tmp0;
2022-11-23T01:32:38.1022840Z                 }
2022-11-23T01:32:38.1022921Z                 out_ptr4[i0] = tmp6;
2022-11-23T01:32:38.1023003Z                 out_ptr5[i0] = tmp7;
2022-11-23T01:32:38.1023053Z             }
2022-11-23T01:32:38.1023117Z         }
2022-11-23T01:32:38.1023196Z         #pragma omp for 
2022-11-23T01:32:38.1023278Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:38.1023339Z         {
2022-11-23T01:32:38.1023472Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr1 + 16*i0);
2022-11-23T01:32:38.1023605Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1024));
2022-11-23T01:32:38.1023676Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:38.1023770Z             tmp2.store(in_out_ptr0 + 16*i0);
2022-11-23T01:32:38.1023833Z         }
2022-11-23T01:32:38.1023926Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.1024011Z         for(long i0=512; i0<512; i0+=1)
2022-11-23T01:32:38.1024071Z         {
2022-11-23T01:32:38.1024155Z             auto tmp0 = out_ptr1[i0];
2022-11-23T01:32:38.1024243Z             auto tmp1 = static_cast<float>(1024);
2022-11-23T01:32:38.1024327Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:38.1024408Z             in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.1024560Z         }
2022-11-23T01:32:38.1024643Z         #pragma omp for 
2022-11-23T01:32:38.1024728Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:38.1024790Z         {
2022-11-23T01:32:38.1024910Z             auto tmp0 = at::vec::Vectorized<float>::loadu(out_ptr4 + 16*i0);
2022-11-23T01:32:38.1025042Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1024));
2022-11-23T01:32:38.1025125Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:38.1025333Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1e-05));
2022-11-23T01:32:38.1025414Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.1025552Z             tmp4.store(in_out_ptr1 + 16*i0);
2022-11-23T01:32:38.1025613Z         }
2022-11-23T01:32:38.1025695Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.1025777Z         for(long i0=512; i0<512; i0+=1)
2022-11-23T01:32:38.1025838Z         {
2022-11-23T01:32:38.1025921Z             auto tmp0 = out_ptr4[i0];
2022-11-23T01:32:38.1026021Z             auto tmp1 = static_cast<float>(1024);
2022-11-23T01:32:38.1026103Z             auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:38.1026282Z             auto tmp3 = static_cast<float>(1e-05);
2022-11-23T01:32:38.1026352Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.1026436Z             in_out_ptr1[i0] = tmp4;
2022-11-23T01:32:38.1026497Z         }
2022-11-23T01:32:38.1026559Z     }
2022-11-23T01:32:38.1026620Z }
2022-11-23T01:32:38.1026697Z ''')
2022-11-23T01:32:38.1026702Z 
2022-11-23T01:32:38.1026706Z 
2022-11-23T01:32:38.1026795Z async_compile.wait(globals())
2022-11-23T01:32:38.1026856Z del async_compile
2022-11-23T01:32:38.1026874Z 
2022-11-23T01:32:38.1026931Z def call(args):
2022-11-23T01:32:38.1027036Z     arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1 = args
2022-11-23T01:32:38.1027108Z     args.clear()
2022-11-23T01:32:38.1027320Z     buf0 = empty_strided((1, 512, 1), (512, 1, 512), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1027519Z     buf1 = empty_strided((1, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1027736Z     buf2 = empty_strided((1, 512, 1024), (524288, 1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1027943Z     buf3 = empty_strided((1, 512, 1), (512, 1, 512), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1028125Z     buf4 = empty_strided((1, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1028321Z     buf5 = empty_strided((1, 512), (512, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1028406Z     buf6 = buf1; del buf1  # reuse
2022-11-23T01:32:38.1028521Z     buf7 = as_strided(buf4, (1, 512, 1), (512, 1, 512)); del buf4  # reuse
2022-11-23T01:32:38.1028899Z     kernel_cpp_0(c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()))
2022-11-23T01:32:38.1028970Z     del arg0_1
2022-11-23T01:32:38.1029037Z     del arg1_1
2022-11-23T01:32:38.1029108Z     del arg2_1
2022-11-23T01:32:38.1029161Z     del arg3_1
2022-11-23T01:32:38.1029225Z     del arg4_1
2022-11-23T01:32:38.1029289Z     del arg5_1
2022-11-23T01:32:38.1029373Z     return (buf6, buf5, buf7, )
2022-11-23T01:32:38.1029378Z 
2022-11-23T01:32:38.1029383Z 
2022-11-23T01:32:38.1029459Z if __name__ == "__main__":
2022-11-23T01:32:38.1029573Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.1029694Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.1029899Z     arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1030080Z     arg1_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1030295Z     arg2_1 = rand_strided((1, 512, 1024), (524288, 1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1030510Z     arg3_1 = rand_strided((1, 512, 1024), (524288, 1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1030716Z     arg4_1 = rand_strided((1, 512, 1), (512, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1030918Z     arg5_1 = rand_strided((1, 512, 1), (512, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1031061Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1]))
2022-11-23T01:32:38.1031441Z [2022-11-23 01:28:29,089] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zb/czbfghfti3israrhiuy3tnrgaeixcyfr2pd2xgcvrzfyapz5dsp7.py
2022-11-23T01:32:38.1031741Z [2022-11-23 01:28:29,089] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 391
2022-11-23T01:32:38.1031747Z 
2022-11-23T01:32:38.1031814Z ok (3.131s)
2022-11-23T01:32:38.1031966Z   test_tmp_not_defined_issue2_cpu (__main__.CpuTests) ... skip: TODO: debug this with asan (0.002s)
2022-11-23T01:32:38.1032108Z   test_to_device_constant_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s)
2022-11-23T01:32:38.1032268Z   test_to_device_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s)
2022-11-23T01:32:38.1032573Z   test_to_dtype_cpu (__main__.CpuTests) ... [2022-11-23 01:28:29,125] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.1032840Z [2022-11-23 01:28:29,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.1033056Z [2022-11-23 01:28:29,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.1033306Z [2022-11-23 01:28:29,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.1033594Z [2022-11-23 01:28:29,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.1033918Z [2022-11-23 01:28:29,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.1034234Z [2022-11-23 01:28:29,126] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6406660, file "inductor/test_torchinductor.py", line 1723> 
2022-11-23T01:32:38.1034332Z  1725           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1034431Z                2 LOAD_ATTR                1 (_to_copy)
2022-11-23T01:32:38.1034522Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1034612Z                6 LOAD_CONST               1 (6)
2022-11-23T01:32:38.1034761Z                8 LOAD_CONST               2 (('dtype',))
2022-11-23T01:32:38.1034855Z               10 CALL_FUNCTION_KW         2
2022-11-23T01:32:38.1034861Z 
2022-11-23T01:32:38.1034958Z 1726          12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1035041Z               14 LOAD_ATTR                1 (_to_copy)
2022-11-23T01:32:38.1035127Z               16 LOAD_FAST                1 (b)
2022-11-23T01:32:38.1035216Z               18 LOAD_CONST               3 (1)
2022-11-23T01:32:38.1035288Z               20 BINARY_ADD
2022-11-23T01:32:38.1035377Z               22 LOAD_CONST               1 (6)
2022-11-23T01:32:38.1035523Z               24 LOAD_CONST               2 (('dtype',))
2022-11-23T01:32:38.1035614Z               26 CALL_FUNCTION_KW         2
2022-11-23T01:32:38.1035620Z 
2022-11-23T01:32:38.1035699Z 1727          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1035788Z               30 LOAD_METHOD              2 (to)
2022-11-23T01:32:38.1035875Z               32 LOAD_FAST                1 (b)
2022-11-23T01:32:38.1035970Z               34 LOAD_GLOBAL              3 (torch)
2022-11-23T01:32:38.1036067Z               36 LOAD_ATTR                4 (float64)
2022-11-23T01:32:38.1036153Z               38 CALL_METHOD              2
2022-11-23T01:32:38.1036158Z 
2022-11-23T01:32:38.1036247Z 1728          40 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1036337Z               42 LOAD_METHOD              2 (to)
2022-11-23T01:32:38.1036412Z               44 LOAD_FAST                1 (b)
2022-11-23T01:32:38.1036505Z               46 LOAD_GLOBAL              3 (torch)
2022-11-23T01:32:38.1036594Z               48 LOAD_ATTR                5 (bool)
2022-11-23T01:32:38.1036681Z               50 CALL_METHOD              2
2022-11-23T01:32:38.1036767Z               52 BUILD_TUPLE              4
2022-11-23T01:32:38.1036843Z               54 RETURN_VALUE
2022-11-23T01:32:38.1036903Z  
2022-11-23T01:32:38.1036907Z 
2022-11-23T01:32:38.1037320Z [2022-11-23 01:28:29,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1725
2022-11-23T01:32:38.1037608Z [2022-11-23 01:28:29,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:38.1037918Z [2022-11-23 01:28:29,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _to_copy [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1038173Z [2022-11-23 01:28:29,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten._to_copy)]
2022-11-23T01:32:38.1038492Z [2022-11-23 01:28:29,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten._to_copy), TensorVariable()]
2022-11-23T01:32:38.1038826Z [2022-11-23 01:28:29,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1039198Z [2022-11-23 01:28:29,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:38.1039469Z [2022-11-23 01:28:29,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1726
2022-11-23T01:32:38.1039713Z [2022-11-23 01:28:29,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:38.1040048Z [2022-11-23 01:28:29,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _to_copy [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1040333Z [2022-11-23 01:28:29,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten._to_copy)]
2022-11-23T01:32:38.1040630Z [2022-11-23 01:28:29,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable()]
2022-11-23T01:32:38.1040984Z [2022-11-23 01:28:29,161] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1041293Z [2022-11-23 01:28:29,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable()]
2022-11-23T01:32:38.1041654Z [2022-11-23 01:28:29,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1042054Z [2022-11-23 01:28:29,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)]
2022-11-23T01:32:38.1042318Z [2022-11-23 01:28:29,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1727
2022-11-23T01:32:38.1042588Z [2022-11-23 01:28:29,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1042944Z [2022-11-23 01:28:29,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1043248Z [2022-11-23 01:28:29,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.to)]
2022-11-23T01:32:38.1043590Z [2022-11-23 01:28:29,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable()]
2022-11-23T01:32:38.1044093Z [2022-11-23 01:28:29,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float64 [TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.1044473Z [2022-11-23 01:28:29,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:32:38.1044761Z [2022-11-23 01:28:29,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1728
2022-11-23T01:32:38.1045060Z [2022-11-23 01:28:29,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1045472Z [2022-11-23 01:28:29,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1045801Z [2022-11-23 01:28:29,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to)]
2022-11-23T01:32:38.1046164Z [2022-11-23 01:28:29,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable()]
2022-11-23T01:32:38.1046679Z [2022-11-23 01:28:29,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.1047088Z [2022-11-23 01:28:29,204] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), ConstantVariable(dtype)]
2022-11-23T01:32:38.1047415Z [2022-11-23 01:28:29,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1047663Z [2022-11-23 01:28:29,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1047991Z [2022-11-23 01:28:29,214] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6406660, file "inductor/test_torchinductor.py", line 1723>
2022-11-23T01:32:38.1048239Z [2022-11-23 01:28:29,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1048473Z [2022-11-23 01:28:29,214] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.1048727Z [2022-11-23 01:28:29,218] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.1048964Z [2022-11-23 01:28:29,235] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.1049152Z [2022-11-23 01:28:29,236] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.1049288Z  __compiled_fn_400 <eval_with_key>.2474 opcode, name, target, args, kwargs
2022-11-23T01:32:38.1049380Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.1049468Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.1049645Z call_function, _to_copy, aten._to_copy, (ex_0_,), {'dtype': 6}
2022-11-23T01:32:38.1049817Z call_function, add, <built-in function add>, (ex_1_, 1), {}
2022-11-23T01:32:38.1049982Z call_function, _to_copy_1, aten._to_copy, (add,), {'dtype': 6}
2022-11-23T01:32:38.1050100Z call_function, to, aten.to, (ex_1_, torch.float64), {}
2022-11-23T01:32:38.1050211Z call_function, to_1, aten.to, (ex_1_, torch.bool), {}
2022-11-23T01:32:38.1050332Z output, output, output, ((_to_copy, _to_copy_1, to, to_1),), {}
2022-11-23T01:32:38.1050338Z 
2022-11-23T01:32:38.1050620Z [2022-11-23 01:28:29,236] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1050714Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1050806Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1050901Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.1050977Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.1051054Z               8 RETURN_VALUE
2022-11-23T01:32:38.1051065Z 
2022-11-23T01:32:38.1051128Z  
2022-11-23T01:32:38.1051405Z [2022-11-23 01:28:29,237] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1051549Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_400)
2022-11-23T01:32:38.1051640Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1051731Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1051809Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.1051884Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1051999Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.1052077Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.1052166Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.1052272Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.1052375Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1052466Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1052528Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.1052633Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1052722Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:38.1052799Z              28 BINARY_SUBSCR
2022-11-23T01:32:38.1052900Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1052988Z              32 LOAD_CONST               3 (2)
2022-11-23T01:32:38.1053065Z              34 BINARY_SUBSCR
2022-11-23T01:32:38.1053154Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1053243Z              38 LOAD_CONST               4 (3)
2022-11-23T01:32:38.1053316Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.1053405Z              42 BUILD_TUPLE              4
2022-11-23T01:32:38.1053482Z              44 RETURN_VALUE
2022-11-23T01:32:38.1053488Z 
2022-11-23T01:32:38.1053550Z  
2022-11-23T01:32:38.1053731Z [2022-11-23 01:28:29,238] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.1053787Z  - 
2022-11-23T01:32:38.1053906Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.1053972Z             {
2022-11-23T01:32:38.1054110Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.1054299Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.1054417Z                 'obj_weakref': None
2022-11-23T01:32:38.1054643Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.1054694Z             }
2022-11-23T01:32:38.1054759Z             
2022-11-23T01:32:38.1054827Z  - 
2022-11-23T01:32:38.1054950Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.1055012Z             {
2022-11-23T01:32:38.1055153Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1055292Z                 'code': None,
2022-11-23T01:32:38.1055486Z                 'obj_weakref': <weakref at 0x7f71068ec350; to 'Tensor' at 0x7f7106d5d350>
2022-11-23T01:32:38.1055734Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1055799Z             }
2022-11-23T01:32:38.1055862Z             
2022-11-23T01:32:38.1055930Z  - 
2022-11-23T01:32:38.1056052Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.1056114Z             {
2022-11-23T01:32:38.1056243Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1056348Z                 'code': None,
2022-11-23T01:32:38.1056554Z                 'obj_weakref': <weakref at 0x7f7129e914d0; to 'Tensor' at 0x7f71068eca70>
2022-11-23T01:32:38.1056801Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1056865Z             }
2022-11-23T01:32:38.1056927Z             
2022-11-23T01:32:38.1056994Z  - 
2022-11-23T01:32:38.1057112Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.1057175Z             {
2022-11-23T01:32:38.1057307Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.1057475Z                 'code': ['___check_obj_id(model, 140126565021744)'],
2022-11-23T01:32:38.1057624Z                 'obj_weakref': None
2022-11-23T01:32:38.1057853Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.1057916Z             }
2022-11-23T01:32:38.1057967Z             
2022-11-23T01:32:38.1058033Z  - 
2022-11-23T01:32:38.1058154Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.1058216Z             {
2022-11-23T01:32:38.1058383Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.1058600Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.1058718Z                 'obj_weakref': None
2022-11-23T01:32:38.1058922Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.1058985Z             }
2022-11-23T01:32:38.1059046Z             
2022-11-23T01:32:38.1059112Z  - 
2022-11-23T01:32:38.1059245Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:38.1059306Z             {
2022-11-23T01:32:38.1059425Z                 'guard_types': None,
2022-11-23T01:32:38.1059518Z                 'code': None,
2022-11-23T01:32:38.1059633Z                 'obj_weakref': None
2022-11-23T01:32:38.1059751Z                 'guarded_class': None
2022-11-23T01:32:38.1059814Z             }
2022-11-23T01:32:38.1059876Z             
2022-11-23T01:32:38.1059944Z  - 
2022-11-23T01:32:38.1060077Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.1060127Z             {
2022-11-23T01:32:38.1060244Z                 'guard_types': None,
2022-11-23T01:32:38.1060349Z                 'code': None,
2022-11-23T01:32:38.1060465Z                 'obj_weakref': None
2022-11-23T01:32:38.1060583Z                 'guarded_class': None
2022-11-23T01:32:38.1060645Z             }
2022-11-23T01:32:38.1060707Z             
2022-11-23T01:32:38.1060761Z  - 
2022-11-23T01:32:38.1060903Z             global 'torch.bool' CONSTANT_MATCH
2022-11-23T01:32:38.1060967Z             {
2022-11-23T01:32:38.1061108Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.1061267Z                 'code': ["str(torch.bool) == 'torch.bool'"],
2022-11-23T01:32:38.1061385Z                 'obj_weakref': None
2022-11-23T01:32:38.1061592Z                 'guarded_class': <weakref at 0x7f71931398f0; to 'type' at 0x7f71f278dc60 (dtype)>
2022-11-23T01:32:38.1061654Z             }
2022-11-23T01:32:38.1061716Z             
2022-11-23T01:32:38.1061786Z  - 
2022-11-23T01:32:38.1061935Z             global 'torch.float64' CONSTANT_MATCH
2022-11-23T01:32:38.1061997Z             {
2022-11-23T01:32:38.1062135Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.1062295Z                 'code': ["str(torch.float64) == 'torch.float64'"],
2022-11-23T01:32:38.1062410Z                 'obj_weakref': None
2022-11-23T01:32:38.1062627Z                 'guarded_class': <weakref at 0x7f71931398f0; to 'type' at 0x7f71f278dc60 (dtype)>
2022-11-23T01:32:38.1062692Z             }
2022-11-23T01:32:38.1062755Z             
2022-11-23T01:32:38.1063016Z [2022-11-23 01:28:29,253] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 392
2022-11-23T01:32:38.1063387Z [2022-11-23 01:28:31,822] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j5/cj5hvnz4bprftxws5pb35rwdqjg2ejjxkygyujwdvillf52c624j.py
2022-11-23T01:32:38.1063655Z [2022-11-23 01:28:31,823] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 392
2022-11-23T01:32:38.1063661Z 
2022-11-23T01:32:38.1063753Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.1063810Z import torch
2022-11-23T01:32:38.1063877Z import random
2022-11-23T01:32:38.1063991Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.1064111Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.1064116Z 
2022-11-23T01:32:38.1064194Z aten = torch.ops.aten
2022-11-23T01:32:38.1064330Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.1064526Z async_compile = AsyncCompile()
2022-11-23T01:32:38.1064532Z 
2022-11-23T01:32:38.1064536Z 
2022-11-23T01:32:38.1064666Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.1064870Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.1064992Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:32:38.1065139Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.1065237Z                        bool* __restrict__ out_ptr1)
2022-11-23T01:32:38.1065301Z {
2022-11-23T01:32:38.1065398Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.1065446Z     {
2022-11-23T01:32:38.1065523Z         #pragma omp for 
2022-11-23T01:32:38.1065605Z         for(long i0=0; i0<40; i0+=1)
2022-11-23T01:32:38.1065668Z         {
2022-11-23T01:32:38.1065730Z             {
2022-11-23T01:32:38.1065793Z                 {
2022-11-23T01:32:38.1065885Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.1065979Z                     auto tmp1 = static_cast<double>(1);
2022-11-23T01:32:38.1066069Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.1066175Z                     auto tmp3 = static_cast<float>(tmp2);
2022-11-23T01:32:38.1066279Z                     auto tmp4 = static_cast<bool>(tmp0);
2022-11-23T01:32:38.1066362Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:38.1066446Z                     out_ptr1[i0] = tmp4;
2022-11-23T01:32:38.1066513Z                 }
2022-11-23T01:32:38.1066563Z             }
2022-11-23T01:32:38.1066625Z         }
2022-11-23T01:32:38.1066688Z     }
2022-11-23T01:32:38.1066749Z }
2022-11-23T01:32:38.1066827Z ''')
2022-11-23T01:32:38.1066833Z 
2022-11-23T01:32:38.1066837Z 
2022-11-23T01:32:38.1066925Z async_compile.wait(globals())
2022-11-23T01:32:38.1066998Z del async_compile
2022-11-23T01:32:38.1067002Z 
2022-11-23T01:32:38.1067058Z def call(args):
2022-11-23T01:32:38.1067132Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.1067203Z     args.clear()
2022-11-23T01:32:38.1067411Z     buf0 = empty_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1067609Z     buf1 = empty_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:38.1067770Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:38.1067863Z     return (arg0_1, buf0, arg1_1, buf1, )
2022-11-23T01:32:38.1067868Z 
2022-11-23T01:32:38.1067874Z 
2022-11-23T01:32:38.1067949Z if __name__ == "__main__":
2022-11-23T01:32:38.1068049Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.1068168Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.1068371Z     arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1068568Z     arg1_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.1068681Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.1068688Z 
2022-11-23T01:32:38.1068753Z ok (2.712s)
2022-11-23T01:32:38.1069052Z   test_topk_cpu (__main__.CpuTests) ... [2022-11-23 01:28:31,838] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.1069322Z [2022-11-23 01:28:31,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.1069541Z [2022-11-23 01:28:31,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.1069779Z [2022-11-23 01:28:31,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.1070063Z [2022-11-23 01:28:31,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.1070383Z [2022-11-23 01:28:31,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.1070745Z [2022-11-23 01:28:31,839] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f642ad20, file "inductor/test_torchinductor.py", line 3099> 
2022-11-23T01:32:38.1070840Z  3100           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.1070934Z                2 LOAD_METHOD              1 (topk)
2022-11-23T01:32:38.1071023Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1071140Z                6 LOAD_CONST               1 (2)
2022-11-23T01:32:38.1071267Z                8 LOAD_CONST               2 (-1)
2022-11-23T01:32:38.1071356Z               10 CALL_METHOD              3
2022-11-23T01:32:38.1071431Z               12 RETURN_VALUE
2022-11-23T01:32:38.1071490Z  
2022-11-23T01:32:38.1071496Z 
2022-11-23T01:32:38.1071762Z [2022-11-23 01:28:31,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3100
2022-11-23T01:32:38.1071977Z [2022-11-23 01:28:31,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.1072344Z [2022-11-23 01:28:31,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR topk [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.1072665Z [2022-11-23 01:28:31,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method topk of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.1073013Z [2022-11-23 01:28:31,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(<built-in method topk of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.1073397Z [2022-11-23 01:28:31,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method topk of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1073811Z [2022-11-23 01:28:31,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(<built-in method topk of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1074069Z [2022-11-23 01:28:31,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T01:32:38.1074399Z [2022-11-23 01:28:31,846] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f642ad20, file "inductor/test_torchinductor.py", line 3099>
2022-11-23T01:32:38.1074657Z [2022-11-23 01:28:31,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()]
2022-11-23T01:32:38.1074891Z [2022-11-23 01:28:31,847] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.1075145Z [2022-11-23 01:28:31,850] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.1075393Z [2022-11-23 01:28:31,855] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.1075582Z [2022-11-23 01:28:31,856] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.1075715Z  __compiled_fn_401 <eval_with_key>.2480 opcode, name, target, args, kwargs
2022-11-23T01:32:38.1075792Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.1076023Z call_function, topk, <built-in method topk of type object at 0x7f71f2abebc0>, (ex_0_, 2, -1), {}
2022-11-23T01:32:38.1076207Z call_function, getitem, <built-in function getitem>, (topk, 0), {}
2022-11-23T01:32:38.1076397Z call_function, getitem_1, <built-in function getitem>, (topk, 1), {}
2022-11-23T01:32:38.1076509Z output, output, output, ((getitem, getitem_1),), {}
2022-11-23T01:32:38.1076514Z 
2022-11-23T01:32:38.1076789Z [2022-11-23 01:28:31,857] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1076881Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1076972Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1077050Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.1077283Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.1077361Z               8 RETURN_VALUE
2022-11-23T01:32:38.1077366Z 
2022-11-23T01:32:38.1077427Z  
2022-11-23T01:32:38.1077702Z [2022-11-23 01:28:31,857] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1077810Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_401)
2022-11-23T01:32:38.1077956Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1078047Z               4 LOAD_CONST               2 (0)
2022-11-23T01:32:38.1078111Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.1078198Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.1078303Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.1078494Z              12 LOAD_CONST               1 (<class 'torch.return_types.topk'>)
2022-11-23T01:32:38.1078596Z              14 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1078687Z              16 LOAD_CONST               2 (0)
2022-11-23T01:32:38.1078765Z              18 BINARY_SUBSCR
2022-11-23T01:32:38.1078852Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1078940Z              22 LOAD_CONST               3 (1)
2022-11-23T01:32:38.1079015Z              24 BINARY_SUBSCR
2022-11-23T01:32:38.1079102Z              26 BUILD_TUPLE              2
2022-11-23T01:32:38.1079193Z              28 CALL_FUNCTION            1
2022-11-23T01:32:38.1079269Z              30 RETURN_VALUE
2022-11-23T01:32:38.1079274Z 
2022-11-23T01:32:38.1079334Z  
2022-11-23T01:32:38.1079518Z [2022-11-23 01:28:31,858] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.1079574Z  - 
2022-11-23T01:32:38.1079693Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.1079759Z             {
2022-11-23T01:32:38.1079902Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.1080086Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.1080207Z                 'obj_weakref': None
2022-11-23T01:32:38.1080430Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.1080482Z             }
2022-11-23T01:32:38.1080544Z             
2022-11-23T01:32:38.1080613Z  - 
2022-11-23T01:32:38.1080736Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.1080800Z             {
2022-11-23T01:32:38.1080943Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1081037Z                 'code': None,
2022-11-23T01:32:38.1081244Z                 'obj_weakref': <weakref at 0x7f7106e09a10; to 'Tensor' at 0x7f7107227ad0>
2022-11-23T01:32:38.1081491Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1081553Z             }
2022-11-23T01:32:38.1081619Z             
2022-11-23T01:32:38.1081689Z  - 
2022-11-23T01:32:38.1081818Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.1081870Z             {
2022-11-23T01:32:38.1082002Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.1082168Z                 'code': ['___check_obj_id(model, 140125776771264)'],
2022-11-23T01:32:38.1082287Z                 'obj_weakref': None
2022-11-23T01:32:38.1082514Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.1082578Z             }
2022-11-23T01:32:38.1082642Z             
2022-11-23T01:32:38.1082698Z  - 
2022-11-23T01:32:38.1082818Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.1082881Z             {
2022-11-23T01:32:38.1083014Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.1083229Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.1083343Z                 'obj_weakref': None
2022-11-23T01:32:38.1083557Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.1083668Z             }
2022-11-23T01:32:38.1083717Z             
2022-11-23T01:32:38.1083786Z  - 
2022-11-23T01:32:38.1083917Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.1083981Z             {
2022-11-23T01:32:38.1084102Z                 'guard_types': None,
2022-11-23T01:32:38.1084209Z                 'code': None,
2022-11-23T01:32:38.1084313Z                 'obj_weakref': None
2022-11-23T01:32:38.1084467Z                 'guarded_class': None
2022-11-23T01:32:38.1084532Z             }
2022-11-23T01:32:38.1084599Z             
2022-11-23T01:32:38.1084860Z [2022-11-23 01:28:31,869] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 393
2022-11-23T01:32:38.1085078Z [2022-11-23 01:28:31,874] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.topk
2022-11-23T01:32:38.1085448Z [2022-11-23 01:28:31,878] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5u/c5udxjcz6iqxkimdsm5mpsirwkjk6dcqkkildk56ltptyiv6ac5n.py
2022-11-23T01:32:38.1085717Z [2022-11-23 01:28:31,878] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 393
2022-11-23T01:32:38.1085723Z 
2022-11-23T01:32:38.1085805Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.1085877Z import torch
2022-11-23T01:32:38.1085947Z import random
2022-11-23T01:32:38.1086062Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.1086187Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.1086191Z 
2022-11-23T01:32:38.1086271Z aten = torch.ops.aten
2022-11-23T01:32:38.1086407Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.1086504Z async_compile = AsyncCompile()
2022-11-23T01:32:38.1086509Z 
2022-11-23T01:32:38.1086513Z 
2022-11-23T01:32:38.1086588Z async_compile.wait(globals())
2022-11-23T01:32:38.1086660Z del async_compile
2022-11-23T01:32:38.1086665Z 
2022-11-23T01:32:38.1086736Z def call(args):
2022-11-23T01:32:38.1086810Z     arg0_1, = args
2022-11-23T01:32:38.1086882Z     args.clear()
2022-11-23T01:32:38.1086968Z     buf0 = aten.topk(arg0_1, 2)
2022-11-23T01:32:38.1087038Z     del arg0_1
2022-11-23T01:32:38.1087093Z     buf1 = buf0[0]
2022-11-23T01:32:38.1087200Z     assert_size_stride(buf1, (1, 1, 8, 2), (16, 16, 2, 1))
2022-11-23T01:32:38.1087269Z     buf2 = buf0[1]
2022-11-23T01:32:38.1087376Z     assert_size_stride(buf2, (1, 1, 8, 2), (16, 16, 2, 1))
2022-11-23T01:32:38.1087441Z     del buf0
2022-11-23T01:32:38.1087521Z     return (buf1, buf2, )
2022-11-23T01:32:38.1087526Z 
2022-11-23T01:32:38.1087530Z 
2022-11-23T01:32:38.1087607Z if __name__ == "__main__":
2022-11-23T01:32:38.1087706Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.1087828Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.1088041Z     arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1088150Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.1088157Z 
2022-11-23T01:32:38.1088226Z ok (0.051s)
2022-11-23T01:32:38.1088545Z   test_transpose_add_cpu (__main__.CpuTests) ... [2022-11-23 01:28:31,888] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.1088816Z [2022-11-23 01:28:31,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.1089035Z [2022-11-23 01:28:31,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.1089287Z [2022-11-23 01:28:31,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.1089560Z [2022-11-23 01:28:31,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.1089885Z [2022-11-23 01:28:31,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.1090241Z [2022-11-23 01:28:31,889] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f64156f0, file "inductor/test_torchinductor.py", line 2335> 
2022-11-23T01:32:38.1090337Z  2336           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1090431Z                2 LOAD_METHOD              0 (t)
2022-11-23T01:32:38.1090522Z                4 CALL_METHOD              0
2022-11-23T01:32:38.1090613Z                6 LOAD_FAST                1 (b)
2022-11-23T01:32:38.1090719Z                8 BINARY_ADD
2022-11-23T01:32:38.1090785Z               10 RETURN_VALUE
2022-11-23T01:32:38.1090846Z  
2022-11-23T01:32:38.1090851Z 
2022-11-23T01:32:38.1091116Z [2022-11-23 01:28:31,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2336
2022-11-23T01:32:38.1091328Z [2022-11-23 01:28:31,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.1091569Z [2022-11-23 01:28:31,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR t [TensorVariable()]
2022-11-23T01:32:38.1091848Z [2022-11-23 01:28:31,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), t)]
2022-11-23T01:32:38.1092083Z [2022-11-23 01:28:31,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.1092356Z [2022-11-23 01:28:31,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1092602Z [2022-11-23 01:28:31,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.1092918Z [2022-11-23 01:28:31,895] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f64156f0, file "inductor/test_torchinductor.py", line 2335>
2022-11-23T01:32:38.1093162Z [2022-11-23 01:28:31,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.1093395Z [2022-11-23 01:28:31,895] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.1093649Z [2022-11-23 01:28:31,896] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.1093895Z [2022-11-23 01:28:31,903] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.1094081Z [2022-11-23 01:28:31,903] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.1094217Z  __compiled_fn_402 <eval_with_key>.2486 opcode, name, target, args, kwargs
2022-11-23T01:32:38.1094307Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.1094392Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.1094462Z call_method, t, t, (ex_0_,), {}
2022-11-23T01:32:38.1094632Z call_function, add, <built-in function add>, (t, ex_1_), {}
2022-11-23T01:32:38.1094728Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.1094733Z 
2022-11-23T01:32:38.1095006Z [2022-11-23 01:28:31,904] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1095100Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1095193Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1095285Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.1095363Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.1095437Z               8 RETURN_VALUE
2022-11-23T01:32:38.1095443Z 
2022-11-23T01:32:38.1095501Z  
2022-11-23T01:32:38.1095772Z [2022-11-23 01:28:31,904] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1095879Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_402)
2022-11-23T01:32:38.1095968Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1096056Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1096132Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.1096209Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1096327Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.1096401Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.1096488Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.1096579Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:38.1096652Z              18 RETURN_VALUE
2022-11-23T01:32:38.1096657Z 
2022-11-23T01:32:38.1096718Z  
2022-11-23T01:32:38.1096886Z [2022-11-23 01:28:31,906] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.1096955Z  - 
2022-11-23T01:32:38.1097100Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.1097165Z             {
2022-11-23T01:32:38.1097304Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.1097486Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.1097606Z                 'obj_weakref': None
2022-11-23T01:32:38.1097814Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.1097875Z             }
2022-11-23T01:32:38.1097939Z             
2022-11-23T01:32:38.1098007Z  - 
2022-11-23T01:32:38.1098130Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.1098192Z             {
2022-11-23T01:32:38.1098335Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1098428Z                 'code': None,
2022-11-23T01:32:38.1098635Z                 'obj_weakref': <weakref at 0x7f7106d18bf0; to 'Tensor' at 0x7f70f2786290>
2022-11-23T01:32:38.1098883Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1098946Z             }
2022-11-23T01:32:38.1099009Z             
2022-11-23T01:32:38.1099077Z  - 
2022-11-23T01:32:38.1099199Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.1099249Z             {
2022-11-23T01:32:38.1099390Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1099495Z                 'code': None,
2022-11-23T01:32:38.1099700Z                 'obj_weakref': <weakref at 0x7f7106e09f50; to 'Tensor' at 0x7f7106de0110>
2022-11-23T01:32:38.1099949Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1100012Z             }
2022-11-23T01:32:38.1100074Z             
2022-11-23T01:32:38.1100129Z  - 
2022-11-23T01:32:38.1100257Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.1100319Z             {
2022-11-23T01:32:38.1100453Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.1100622Z                 'code': ['___check_obj_id(model, 140123419201120)'],
2022-11-23T01:32:38.1100740Z                 'obj_weakref': None
2022-11-23T01:32:38.1100967Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.1101020Z             }
2022-11-23T01:32:38.1101081Z             
2022-11-23T01:32:38.1101149Z  - 
2022-11-23T01:32:38.1101268Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.1101330Z             {
2022-11-23T01:32:38.1101468Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.1101680Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.1101784Z                 'obj_weakref': None
2022-11-23T01:32:38.1102001Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.1102063Z             }
2022-11-23T01:32:38.1102125Z             
2022-11-23T01:32:38.1102386Z [2022-11-23 01:28:31,918] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 394
2022-11-23T01:32:38.1102759Z [2022-11-23 01:28:34,638] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ey/ceyck2c3grbqumirdaxrfsx7nfeqgfqm22k2qlcswugknlypjhzr.py
2022-11-23T01:32:38.1103021Z [2022-11-23 01:28:34,639] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 394
2022-11-23T01:32:38.1103026Z 
2022-11-23T01:32:38.1103119Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.1103206Z import torch
2022-11-23T01:32:38.1103274Z import random
2022-11-23T01:32:38.1103390Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.1103509Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.1103515Z 
2022-11-23T01:32:38.1103591Z aten = torch.ops.aten
2022-11-23T01:32:38.1103723Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.1103818Z async_compile = AsyncCompile()
2022-11-23T01:32:38.1103880Z 
2022-11-23T01:32:38.1103885Z 
2022-11-23T01:32:38.1104018Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.1104209Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.1104327Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.1104521Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.1104627Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.1104692Z {
2022-11-23T01:32:38.1104790Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.1104852Z     {
2022-11-23T01:32:38.1104916Z         #pragma omp for 
2022-11-23T01:32:38.1104999Z         for(long i0=0; i0<32; i0+=1)
2022-11-23T01:32:38.1105062Z         {
2022-11-23T01:32:38.1105143Z             #pragma GCC ivdep
2022-11-23T01:32:38.1105230Z             for(long i1=0; i1<16; i1+=1)
2022-11-23T01:32:38.1105298Z             {
2022-11-23T01:32:38.1105362Z                 {
2022-11-23T01:32:38.1105418Z                     {
2022-11-23T01:32:38.1105521Z                         auto tmp0 = in_ptr0[i0 + (32*i1)];
2022-11-23T01:32:38.1105624Z                         auto tmp1 = in_ptr1[i1 + (16*i0)];
2022-11-23T01:32:38.1105716Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.1105811Z                         out_ptr0[i1 + (16*i0)] = tmp2;
2022-11-23T01:32:38.1105877Z                     }
2022-11-23T01:32:38.1105944Z                 }
2022-11-23T01:32:38.1105993Z             }
2022-11-23T01:32:38.1106057Z         }
2022-11-23T01:32:38.1106119Z     }
2022-11-23T01:32:38.1106179Z }
2022-11-23T01:32:38.1106259Z ''')
2022-11-23T01:32:38.1106264Z 
2022-11-23T01:32:38.1106268Z 
2022-11-23T01:32:38.1106356Z async_compile.wait(globals())
2022-11-23T01:32:38.1106428Z del async_compile
2022-11-23T01:32:38.1106433Z 
2022-11-23T01:32:38.1106490Z def call(args):
2022-11-23T01:32:38.1106565Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.1106636Z     args.clear()
2022-11-23T01:32:38.1106836Z     buf0 = empty_strided((32, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1106999Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.1107067Z     del arg0_1
2022-11-23T01:32:38.1107132Z     del arg1_1
2022-11-23T01:32:38.1107189Z     return (buf0, )
2022-11-23T01:32:38.1107194Z 
2022-11-23T01:32:38.1107211Z 
2022-11-23T01:32:38.1107273Z if __name__ == "__main__":
2022-11-23T01:32:38.1107385Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.1107506Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.1107704Z     arg0_1 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1107900Z     arg1_1 = rand_strided((32, 16), (16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1108013Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.1108017Z 
2022-11-23T01:32:38.1108083Z ok (2.763s)
2022-11-23T01:32:38.1108379Z   test_transpose_cpu (__main__.CpuTests) ... [2022-11-23 01:28:34,655] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.1108647Z [2022-11-23 01:28:34,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.1108862Z [2022-11-23 01:28:34,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.1109114Z [2022-11-23 01:28:34,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.1109436Z [2022-11-23 01:28:34,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.1109758Z [2022-11-23 01:28:34,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.1110126Z [2022-11-23 01:28:34,657] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f647b780, file "inductor/test_torchinductor.py", line 1242> 
2022-11-23T01:32:38.1110223Z  1244           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.1110315Z                2 LOAD_METHOD              1 (t)
2022-11-23T01:32:38.1110393Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1110482Z                6 CALL_METHOD              1
2022-11-23T01:32:38.1110570Z                8 LOAD_FAST                1 (b)
2022-11-23T01:32:38.1110643Z               10 BINARY_ADD
2022-11-23T01:32:38.1110651Z 
2022-11-23T01:32:38.1110746Z 1245          12 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.1110846Z               14 LOAD_METHOD              2 (transpose)
2022-11-23T01:32:38.1110936Z               16 LOAD_FAST                1 (b)
2022-11-23T01:32:38.1111023Z               18 LOAD_CONST               1 (2)
2022-11-23T01:32:38.1111093Z               20 BINARY_MULTIPLY
2022-11-23T01:32:38.1111178Z               22 LOAD_CONST               2 (0)
2022-11-23T01:32:38.1111265Z               24 LOAD_CONST               3 (1)
2022-11-23T01:32:38.1111351Z               26 CALL_METHOD              3
2022-11-23T01:32:38.1111440Z               28 LOAD_CONST               4 (10)
2022-11-23T01:32:38.1111518Z               30 BINARY_ADD
2022-11-23T01:32:38.1111607Z               32 BUILD_TUPLE              2
2022-11-23T01:32:38.1111669Z               34 RETURN_VALUE
2022-11-23T01:32:38.1111729Z  
2022-11-23T01:32:38.1111735Z 
2022-11-23T01:32:38.1112007Z [2022-11-23 01:28:34,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1244
2022-11-23T01:32:38.1112228Z [2022-11-23 01:28:34,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.1112587Z [2022-11-23 01:28:34,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR t [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.1112911Z [2022-11-23 01:28:34,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method t of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.1113255Z [2022-11-23 01:28:34,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method t of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.1113491Z [2022-11-23 01:28:34,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.1113761Z [2022-11-23 01:28:34,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1114028Z [2022-11-23 01:28:34,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1245
2022-11-23T01:32:38.1114260Z [2022-11-23 01:28:34,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:38.1114661Z [2022-11-23 01:28:34,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR transpose [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.1115015Z [2022-11-23 01:28:34,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.1115399Z [2022-11-23 01:28:34,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.1115865Z [2022-11-23 01:28:34,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1116246Z [2022-11-23 01:28:34,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.1116694Z [2022-11-23 01:28:34,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1117264Z [2022-11-23 01:28:34,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(<built-in method transpose of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1117536Z [2022-11-23 01:28:34,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1117845Z [2022-11-23 01:28:34,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1118112Z [2022-11-23 01:28:34,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1118359Z [2022-11-23 01:28:34,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1118674Z [2022-11-23 01:28:34,676] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f647b780, file "inductor/test_torchinductor.py", line 1242>
2022-11-23T01:32:38.1118920Z [2022-11-23 01:28:34,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1119152Z [2022-11-23 01:28:34,677] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.1119409Z [2022-11-23 01:28:34,680] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.1119657Z [2022-11-23 01:28:34,692] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.1119844Z [2022-11-23 01:28:34,693] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.1119980Z  __compiled_fn_403 <eval_with_key>.2492 opcode, name, target, args, kwargs
2022-11-23T01:32:38.1120071Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.1120156Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.1120357Z call_function, t, <built-in method t of type object at 0x7f71f2abebc0>, (ex_0_,), {}
2022-11-23T01:32:38.1120531Z call_function, add, <built-in function add>, (t, ex_1_), {}
2022-11-23T01:32:38.1120700Z call_function, mul, <built-in function mul>, (ex_1_, 2), {}
2022-11-23T01:32:38.1120948Z call_function, transpose, <built-in method transpose of type object at 0x7f71f2abebc0>, (mul, 0, 1), {}
2022-11-23T01:32:38.1121134Z call_function, add_1, <built-in function add>, (transpose, 10), {}
2022-11-23T01:32:38.1121238Z output, output, output, ((add, add_1),), {}
2022-11-23T01:32:38.1121244Z 
2022-11-23T01:32:38.1121521Z [2022-11-23 01:28:34,693] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1121617Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1121694Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1121786Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.1121875Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.1121951Z               8 RETURN_VALUE
2022-11-23T01:32:38.1121957Z 
2022-11-23T01:32:38.1122018Z  
2022-11-23T01:32:38.1122291Z [2022-11-23 01:28:34,694] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1122456Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_403)
2022-11-23T01:32:38.1122547Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1122623Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1122699Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.1122787Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1122878Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.1122954Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.1123087Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.1123192Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.1123280Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1123370Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1123447Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.1123547Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1123633Z              26 LOAD_CONST               2 (1)
2022-11-23T01:32:38.1123710Z              28 BINARY_SUBSCR
2022-11-23T01:32:38.1123799Z              30 BUILD_TUPLE              2
2022-11-23T01:32:38.1123861Z              32 RETURN_VALUE
2022-11-23T01:32:38.1123866Z 
2022-11-23T01:32:38.1123925Z  
2022-11-23T01:32:38.1124107Z [2022-11-23 01:28:34,696] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.1124176Z  - 
2022-11-23T01:32:38.1124293Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.1124359Z             {
2022-11-23T01:32:38.1124502Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.1124673Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.1124791Z                 'obj_weakref': None
2022-11-23T01:32:38.1125014Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.1125079Z             }
2022-11-23T01:32:38.1125143Z             
2022-11-23T01:32:38.1125212Z  - 
2022-11-23T01:32:38.1125342Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.1125392Z             {
2022-11-23T01:32:38.1125533Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1125639Z                 'code': None,
2022-11-23T01:32:38.1125850Z                 'obj_weakref': <weakref at 0x7f7106dbf4d0; to 'Tensor' at 0x7f7106c96230>
2022-11-23T01:32:38.1126099Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1126164Z             }
2022-11-23T01:32:38.1126228Z             
2022-11-23T01:32:38.1126283Z  - 
2022-11-23T01:32:38.1126408Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.1126472Z             {
2022-11-23T01:32:38.1126615Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1126723Z                 'code': None,
2022-11-23T01:32:38.1126930Z                 'obj_weakref': <weakref at 0x7f71066e4f50; to 'Tensor' at 0x7f7106e09d70>
2022-11-23T01:32:38.1127178Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1127232Z             }
2022-11-23T01:32:38.1127297Z             
2022-11-23T01:32:38.1127366Z  - 
2022-11-23T01:32:38.1127498Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.1127563Z             {
2022-11-23T01:32:38.1127697Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.1127871Z                 'code': ['___check_obj_id(model, 140123426443632)'],
2022-11-23T01:32:38.1127976Z                 'obj_weakref': None
2022-11-23T01:32:38.1128207Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.1128272Z             }
2022-11-23T01:32:38.1128337Z             
2022-11-23T01:32:38.1128406Z  - 
2022-11-23T01:32:38.1128528Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.1128592Z             {
2022-11-23T01:32:38.1128714Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.1128968Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.1129086Z                 'obj_weakref': None
2022-11-23T01:32:38.1129307Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.1129373Z             }
2022-11-23T01:32:38.1129437Z             
2022-11-23T01:32:38.1129507Z  - 
2022-11-23T01:32:38.1129626Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.1129728Z             {
2022-11-23T01:32:38.1129850Z                 'guard_types': None,
2022-11-23T01:32:38.1129957Z                 'code': None,
2022-11-23T01:32:38.1130074Z                 'obj_weakref': None
2022-11-23T01:32:38.1130196Z                 'guarded_class': None
2022-11-23T01:32:38.1130260Z             }
2022-11-23T01:32:38.1130309Z             
2022-11-23T01:32:38.1130570Z [2022-11-23 01:28:34,718] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 395
2022-11-23T01:32:38.1130942Z [2022-11-23 01:28:37,378] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zp/czpk7c6ui6hp2g4tscthhmdiylxyyfbebsxjn6v6u2oxf7ecphop.py
2022-11-23T01:32:38.1131206Z [2022-11-23 01:28:37,379] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 395
2022-11-23T01:32:38.1131211Z 
2022-11-23T01:32:38.1131307Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.1131378Z import torch
2022-11-23T01:32:38.1131451Z import random
2022-11-23T01:32:38.1131568Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.1131677Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.1131682Z 
2022-11-23T01:32:38.1131763Z aten = torch.ops.aten
2022-11-23T01:32:38.1131898Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.1131990Z async_compile = AsyncCompile()
2022-11-23T01:32:38.1131995Z 
2022-11-23T01:32:38.1131999Z 
2022-11-23T01:32:38.1132134Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.1132341Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.1132461Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.1132566Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.1132654Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.1132752Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:38.1132814Z {
2022-11-23T01:32:38.1132912Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.1132977Z     {
2022-11-23T01:32:38.1133053Z         #pragma omp for 
2022-11-23T01:32:38.1133134Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.1133184Z         {
2022-11-23T01:32:38.1133265Z             #pragma GCC ivdep
2022-11-23T01:32:38.1133345Z             for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:38.1133408Z             {
2022-11-23T01:32:38.1133472Z                 {
2022-11-23T01:32:38.1133543Z                     {
2022-11-23T01:32:38.1133635Z                         auto tmp0 = in_ptr0[i0 + (8*i1)];
2022-11-23T01:32:38.1133731Z                         auto tmp1 = in_ptr1[i1 + (8*i0)];
2022-11-23T01:32:38.1133827Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.1133921Z                         out_ptr0[i1 + (8*i0)] = tmp2;
2022-11-23T01:32:38.1133988Z                     }
2022-11-23T01:32:38.1134051Z                 }
2022-11-23T01:32:38.1134114Z             }
2022-11-23T01:32:38.1134167Z         }
2022-11-23T01:32:38.1134242Z         #pragma omp for 
2022-11-23T01:32:38.1134321Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:38.1134382Z         {
2022-11-23T01:32:38.1134534Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.1134664Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:38.1134749Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.1134876Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(10));
2022-11-23T01:32:38.1134977Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.1135070Z             tmp4.store(out_ptr1 + 16*i0);
2022-11-23T01:32:38.1135131Z         }
2022-11-23T01:32:38.1135225Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.1135308Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:38.1135369Z         {
2022-11-23T01:32:38.1135452Z             auto tmp0 = in_ptr1[i0];
2022-11-23T01:32:38.1135573Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:38.1135656Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.1135755Z             auto tmp3 = static_cast<float>(10);
2022-11-23T01:32:38.1135846Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.1135924Z             out_ptr1[i0] = tmp4;
2022-11-23T01:32:38.1135985Z         }
2022-11-23T01:32:38.1136046Z     }
2022-11-23T01:32:38.1136093Z }
2022-11-23T01:32:38.1136171Z ''')
2022-11-23T01:32:38.1136176Z 
2022-11-23T01:32:38.1136180Z 
2022-11-23T01:32:38.1136269Z async_compile.wait(globals())
2022-11-23T01:32:38.1136341Z del async_compile
2022-11-23T01:32:38.1136345Z 
2022-11-23T01:32:38.1136415Z def call(args):
2022-11-23T01:32:38.1136489Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.1136559Z     args.clear()
2022-11-23T01:32:38.1136743Z     buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1136935Z     buf1 = empty_strided((8, 8), (1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1137128Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:38.1137197Z     del arg0_1
2022-11-23T01:32:38.1137263Z     del arg1_1
2022-11-23T01:32:38.1137339Z     return (buf0, buf1, )
2022-11-23T01:32:38.1137344Z 
2022-11-23T01:32:38.1137348Z 
2022-11-23T01:32:38.1137424Z if __name__ == "__main__":
2022-11-23T01:32:38.1137537Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.1137646Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.1137841Z     arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1138031Z     arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1138144Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.1138149Z 
2022-11-23T01:32:38.1138215Z ok (2.740s)
2022-11-23T01:32:38.1138546Z   test_transposed_propagates_cpu (__main__.CpuTests) ... [2022-11-23 01:28:37,393] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:38.1138816Z [2022-11-23 01:28:37,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2206
2022-11-23T01:32:38.1139026Z [2022-11-23 01:28:37,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.1139252Z [2022-11-23 01:28:37,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.1139524Z [2022-11-23 01:28:37,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1139771Z [2022-11-23 01:28:37,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.1140001Z [2022-11-23 01:28:37,396] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:38.1140241Z [2022-11-23 01:28:37,398] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:38.1140475Z [2022-11-23 01:28:37,404] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:38.1140662Z [2022-11-23 01:28:37,405] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.1140797Z  __compiled_fn_404 <eval_with_key>.2498 opcode, name, target, args, kwargs
2022-11-23T01:32:38.1140879Z placeholder, x, x, (), {}
2022-11-23T01:32:38.1140948Z placeholder, y, y, (), {}
2022-11-23T01:32:38.1141113Z call_function, add, <built-in function add>, (x, y), {}
2022-11-23T01:32:38.1141238Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.1141243Z 
2022-11-23T01:32:38.1141515Z [2022-11-23 01:28:37,405] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 2204 
2022-11-23T01:32:38.1141607Z 2206           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1141696Z                2 LOAD_FAST                1 (y)
2022-11-23T01:32:38.1141768Z                4 BINARY_ADD
2022-11-23T01:32:38.1141858Z                6 RETURN_VALUE
2022-11-23T01:32:38.1141875Z 
2022-11-23T01:32:38.1141924Z  
2022-11-23T01:32:38.1142197Z [2022-11-23 01:28:37,405] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 2204 
2022-11-23T01:32:38.1142307Z 2204           0 LOAD_GLOBAL              0 (__compiled_fn_404)
2022-11-23T01:32:38.1142395Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1142482Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:38.1142574Z                6 CALL_FUNCTION            2
2022-11-23T01:32:38.1142665Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:38.1142727Z               10 RETURN_VALUE
2022-11-23T01:32:38.1142731Z 
2022-11-23T01:32:38.1142790Z  
2022-11-23T01:32:38.1142972Z [2022-11-23 01:28:37,406] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.1143041Z  - 
2022-11-23T01:32:38.1143159Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:38.1143225Z             {
2022-11-23T01:32:38.1143370Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1143464Z                 'code': None,
2022-11-23T01:32:38.1143669Z                 'obj_weakref': <weakref at 0x7f71066cc170; to 'Tensor' at 0x7f7106d18590>
2022-11-23T01:32:38.1143919Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1143983Z             }
2022-11-23T01:32:38.1144045Z             
2022-11-23T01:32:38.1144112Z  - 
2022-11-23T01:32:38.1144232Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:38.1144282Z             {
2022-11-23T01:32:38.1144421Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1144604Z                 'code': None,
2022-11-23T01:32:38.1144813Z                 'obj_weakref': <weakref at 0x7f71ce00b950; to 'Tensor' at 0x7f70f28da1d0>
2022-11-23T01:32:38.1145056Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1145122Z             }
2022-11-23T01:32:38.1145185Z             
2022-11-23T01:32:38.1145431Z [2022-11-23 01:28:37,427] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 396
2022-11-23T01:32:38.1145804Z [2022-11-23 01:28:39,962] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hm/chm4kw4hsleipgjmdknafa2e44v24fzetjipanon5cz7e3hy6jvz.py
2022-11-23T01:32:38.1146073Z [2022-11-23 01:28:39,962] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 396
2022-11-23T01:32:38.1146080Z 
2022-11-23T01:32:38.1146174Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.1146243Z import torch
2022-11-23T01:32:38.1146313Z import random
2022-11-23T01:32:38.1146427Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.1146548Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.1146553Z 
2022-11-23T01:32:38.1146629Z aten = torch.ops.aten
2022-11-23T01:32:38.1146751Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.1146846Z async_compile = AsyncCompile()
2022-11-23T01:32:38.1146851Z 
2022-11-23T01:32:38.1146856Z 
2022-11-23T01:32:38.1146988Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.1147192Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.1147311Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.1147416Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.1147563Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.1147611Z {
2022-11-23T01:32:38.1147706Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.1147767Z     {
2022-11-23T01:32:38.1147842Z         #pragma omp for 
2022-11-23T01:32:38.1147923Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:38.1147984Z         {
2022-11-23T01:32:38.1148119Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.1148290Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.1148364Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.1148457Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.1148520Z         }
2022-11-23T01:32:38.1148615Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.1148697Z         for(long i0=64; i0<64; i0+=1)
2022-11-23T01:32:38.1148758Z         {
2022-11-23T01:32:38.1148829Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.1148911Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.1148991Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.1149069Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.1149130Z         }
2022-11-23T01:32:38.1149191Z     }
2022-11-23T01:32:38.1149250Z }
2022-11-23T01:32:38.1149315Z ''')
2022-11-23T01:32:38.1149321Z 
2022-11-23T01:32:38.1149337Z 
2022-11-23T01:32:38.1149412Z async_compile.wait(globals())
2022-11-23T01:32:38.1149484Z del async_compile
2022-11-23T01:32:38.1149489Z 
2022-11-23T01:32:38.1149560Z def call(args):
2022-11-23T01:32:38.1149634Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.1149704Z     args.clear()
2022-11-23T01:32:38.1149914Z     buf0 = empty_strided((1, 4, 4, 4), (64, 4, 1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1150077Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.1150133Z     del arg0_1
2022-11-23T01:32:38.1150198Z     del arg1_1
2022-11-23T01:32:38.1150269Z     return (buf0, )
2022-11-23T01:32:38.1150276Z 
2022-11-23T01:32:38.1150280Z 
2022-11-23T01:32:38.1150355Z if __name__ == "__main__":
2022-11-23T01:32:38.1150468Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.1150590Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.1150800Z     arg0_1 = rand_strided((1, 4, 4, 4), (64, 4, 1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1151004Z     arg1_1 = rand_strided((4, 4, 4), (4, 1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1151104Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.1151109Z 
2022-11-23T01:32:38.1151174Z ok (2.581s)
2022-11-23T01:32:38.1151307Z   test_triton_conv_cpu (__main__.CpuTests) ... skip: requires cuda (0.002s)
2022-11-23T01:32:38.1151613Z   test_triton_mm2_cpu (__main__.CpuTests) ... [2022-11-23 01:28:40,065] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn
2022-11-23T01:32:38.1151885Z [2022-11-23 01:28:40,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2272
2022-11-23T01:32:38.1152103Z [2022-11-23 01:28:40,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.1152468Z [2022-11-23 01:28:40,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.1152797Z [2022-11-23 01:28:40,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(<built-in method relu of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.1153267Z [2022-11-23 01:28:40,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable(<built-in method relu of type object at 0x7f71f2abebc0>), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.1153692Z [2022-11-23 01:28:40,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method relu of type object at 0x7f71f2abebc0>), TorchVariable(<built-in method mm of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.1154159Z [2022-11-23 01:28:40,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(<built-in method relu of type object at 0x7f71f2abebc0>), TorchVariable(<built-in method mm of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.1154695Z [2022-11-23 01:28:40,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method relu of type object at 0x7f71f2abebc0>), TorchVariable(<built-in method mm of type object at 0x7f71f2abebc0>), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1155049Z [2022-11-23 01:28:40,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method relu of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.1155295Z [2022-11-23 01:28:40,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.1155530Z [2022-11-23 01:28:40,072] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn
2022-11-23T01:32:38.1155768Z [2022-11-23 01:28:40,075] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:38.1156002Z [2022-11-23 01:28:40,082] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:38.1156191Z [2022-11-23 01:28:40,083] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.1156324Z  __compiled_fn_405 <eval_with_key>.2504 opcode, name, target, args, kwargs
2022-11-23T01:32:38.1156407Z placeholder, x, x, (), {}
2022-11-23T01:32:38.1156475Z placeholder, y, y, (), {}
2022-11-23T01:32:38.1156687Z call_function, mm, <built-in method mm of type object at 0x7f71f2abebc0>, (x, y), {}
2022-11-23T01:32:38.1156906Z call_function, relu, <built-in method relu of type object at 0x7f71f2abebc0>, (mm,), {}
2022-11-23T01:32:38.1157003Z output, output, output, ((relu,),), {}
2022-11-23T01:32:38.1157011Z 
2022-11-23T01:32:38.1157387Z [2022-11-23 01:28:40,083] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 2270 
2022-11-23T01:32:38.1157483Z 2272           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.1157575Z                2 LOAD_METHOD              1 (relu)
2022-11-23T01:32:38.1157668Z                4 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.1157750Z                6 LOAD_METHOD              2 (mm)
2022-11-23T01:32:38.1157840Z                8 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1157929Z               10 LOAD_FAST                1 (y)
2022-11-23T01:32:38.1158018Z               12 CALL_METHOD              2
2022-11-23T01:32:38.1158106Z               14 CALL_METHOD              1
2022-11-23T01:32:38.1158183Z               16 RETURN_VALUE
2022-11-23T01:32:38.1158189Z 
2022-11-23T01:32:38.1158249Z  
2022-11-23T01:32:38.1158521Z [2022-11-23 01:28:40,083] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 2270 
2022-11-23T01:32:38.1158618Z 2270           0 LOAD_GLOBAL              3 (__compiled_fn_405)
2022-11-23T01:32:38.1158712Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1158799Z                4 LOAD_FAST                1 (y)
2022-11-23T01:32:38.1158888Z                6 CALL_FUNCTION            2
2022-11-23T01:32:38.1158979Z                8 UNPACK_SEQUENCE          1
2022-11-23T01:32:38.1159056Z               10 RETURN_VALUE
2022-11-23T01:32:38.1159061Z 
2022-11-23T01:32:38.1159120Z  
2022-11-23T01:32:38.1159288Z [2022-11-23 01:28:40,084] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.1159355Z  - 
2022-11-23T01:32:38.1159472Z             local 'x' TENSOR_MATCH
2022-11-23T01:32:38.1159536Z             {
2022-11-23T01:32:38.1159677Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1159785Z                 'code': None,
2022-11-23T01:32:38.1159994Z                 'obj_weakref': <weakref at 0x7f7106a307d0; to 'Tensor' at 0x7f7106dfed70>
2022-11-23T01:32:38.1160291Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1160355Z             }
2022-11-23T01:32:38.1160419Z             
2022-11-23T01:32:38.1160486Z  - 
2022-11-23T01:32:38.1160603Z             local 'y' TENSOR_MATCH
2022-11-23T01:32:38.1160670Z             {
2022-11-23T01:32:38.1160812Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1160940Z                 'code': None,
2022-11-23T01:32:38.1161146Z                 'obj_weakref': <weakref at 0x7f70f2916c50; to 'Tensor' at 0x7f7106dfebf0>
2022-11-23T01:32:38.1161391Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1161455Z             }
2022-11-23T01:32:38.1161517Z             
2022-11-23T01:32:38.1161583Z  - 
2022-11-23T01:32:38.1161715Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.1161769Z             {
2022-11-23T01:32:38.1161890Z                 'guard_types': None,
2022-11-23T01:32:38.1161994Z                 'code': None,
2022-11-23T01:32:38.1162180Z                 'obj_weakref': None
2022-11-23T01:32:38.1162299Z                 'guarded_class': None
2022-11-23T01:32:38.1162361Z             }
2022-11-23T01:32:38.1162422Z             
2022-11-23T01:32:38.1162668Z [2022-11-23 01:28:40,095] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 397
2022-11-23T01:32:38.1163038Z [2022-11-23 01:28:42,640] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fs/cfscns6wd5xg5prfq3kussavrxalwoolrgzgz25jcdji5gz7hpyp.py
2022-11-23T01:32:38.1163300Z [2022-11-23 01:28:42,641] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 397
2022-11-23T01:32:38.1163306Z 
2022-11-23T01:32:38.1163398Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.1163466Z import torch
2022-11-23T01:32:38.1163535Z import random
2022-11-23T01:32:38.1163652Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.1163773Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.1163778Z 
2022-11-23T01:32:38.1163843Z aten = torch.ops.aten
2022-11-23T01:32:38.1163974Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.1164066Z async_compile = AsyncCompile()
2022-11-23T01:32:38.1164071Z 
2022-11-23T01:32:38.1164076Z 
2022-11-23T01:32:38.1164213Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.1164418Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.1164538Z extern "C" void kernel(float* __restrict__ in_out_ptr0)
2022-11-23T01:32:38.1164600Z {
2022-11-23T01:32:38.1164701Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.1164750Z     {
2022-11-23T01:32:38.1164828Z         #pragma omp for 
2022-11-23T01:32:38.1164912Z         for(long i0=0; i0<65536; i0+=1)
2022-11-23T01:32:38.1164977Z         {
2022-11-23T01:32:38.1165121Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_out_ptr0 + 16*i0);
2022-11-23T01:32:38.1165249Z             auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0));
2022-11-23T01:32:38.1165348Z             tmp1.store(in_out_ptr0 + 16*i0);
2022-11-23T01:32:38.1165398Z         }
2022-11-23T01:32:38.1165498Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.1165590Z         for(long i0=1048576; i0<1048576; i0+=1)
2022-11-23T01:32:38.1165653Z         {
2022-11-23T01:32:38.1165745Z             auto tmp0 = in_out_ptr0[i0];
2022-11-23T01:32:38.1165834Z             auto tmp1 = tmp0 * (tmp0>0);
2022-11-23T01:32:38.1165918Z             in_out_ptr0[i0] = tmp1;
2022-11-23T01:32:38.1165967Z         }
2022-11-23T01:32:38.1166030Z     }
2022-11-23T01:32:38.1166092Z }
2022-11-23T01:32:38.1166171Z ''')
2022-11-23T01:32:38.1166177Z 
2022-11-23T01:32:38.1166181Z 
2022-11-23T01:32:38.1166270Z async_compile.wait(globals())
2022-11-23T01:32:38.1166345Z del async_compile
2022-11-23T01:32:38.1166385Z 
2022-11-23T01:32:38.1166457Z def call(args):
2022-11-23T01:32:38.1166520Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.1166592Z     args.clear()
2022-11-23T01:32:38.1166799Z     buf0 = empty_strided((1024, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1166896Z     aten.mm.out(arg0_1, arg1_1, out=buf0)
2022-11-23T01:32:38.1166964Z     del arg0_1
2022-11-23T01:32:38.1167034Z     del arg1_1
2022-11-23T01:32:38.1167120Z     buf1 = buf0; del buf0  # reuse
2022-11-23T01:32:38.1167240Z     kernel_cpp_0(c_void_p(buf1.data_ptr()))
2022-11-23T01:32:38.1167314Z     return (buf1, )
2022-11-23T01:32:38.1167319Z 
2022-11-23T01:32:38.1167323Z 
2022-11-23T01:32:38.1167401Z if __name__ == "__main__":
2022-11-23T01:32:38.1167513Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.1167636Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.1167845Z     arg0_1 = rand_strided((1024, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1168049Z     arg1_1 = rand_strided((1024, 1024), (1024, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1168165Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.1168169Z 
2022-11-23T01:32:38.1168223Z ok (2.948s)
2022-11-23T01:32:38.1168525Z   test_triu_cpu (__main__.CpuTests) ... [2022-11-23 01:28:42,923] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.1168800Z [2022-11-23 01:28:42,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.1169022Z [2022-11-23 01:28:42,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.1169276Z [2022-11-23 01:28:42,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.1169564Z [2022-11-23 01:28:42,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.1169889Z [2022-11-23 01:28:42,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.1170219Z [2022-11-23 01:28:42,924] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f642e420, file "inductor/test_torchinductor.py", line 3160> 
2022-11-23T01:32:38.1170316Z  3161           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1170419Z                2 LOAD_METHOD              1 (triu)
2022-11-23T01:32:38.1170510Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1170603Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:38.1170691Z                8 CALL_METHOD              2
2022-11-23T01:32:38.1170785Z               10 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1170872Z               12 LOAD_METHOD              1 (triu)
2022-11-23T01:32:38.1170960Z               14 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1171052Z               16 LOAD_CONST               2 (0)
2022-11-23T01:32:38.1171128Z               18 CALL_METHOD              2
2022-11-23T01:32:38.1171216Z               20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1171303Z               22 LOAD_METHOD              1 (triu)
2022-11-23T01:32:38.1171390Z               24 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1171477Z               26 LOAD_CONST               3 (2)
2022-11-23T01:32:38.1171561Z               28 CALL_METHOD              2
2022-11-23T01:32:38.1171651Z               30 BUILD_TUPLE              3
2022-11-23T01:32:38.1171713Z               32 RETURN_VALUE
2022-11-23T01:32:38.1171772Z  
2022-11-23T01:32:38.1171777Z 
2022-11-23T01:32:38.1172054Z [2022-11-23 01:28:42,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3161
2022-11-23T01:32:38.1172267Z [2022-11-23 01:28:42,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:38.1172571Z [2022-11-23 01:28:42,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR triu [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1172852Z [2022-11-23 01:28:42,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.triu)]
2022-11-23T01:32:38.1173132Z [2022-11-23 01:28:42,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.triu), TensorVariable()]
2022-11-23T01:32:38.1173485Z [2022-11-23 01:28:42,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.triu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1173731Z [2022-11-23 01:28:42,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:38.1174048Z [2022-11-23 01:28:42,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR triu [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1174323Z [2022-11-23 01:28:42,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.triu)]
2022-11-23T01:32:38.1174631Z [2022-11-23 01:28:42,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.triu), TensorVariable()]
2022-11-23T01:32:38.1174976Z [2022-11-23 01:28:42,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.triu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1175248Z [2022-11-23 01:28:42,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1175603Z [2022-11-23 01:28:42,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR triu [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1175904Z [2022-11-23 01:28:42,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.triu)]
2022-11-23T01:32:38.1176233Z [2022-11-23 01:28:42,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.triu), TensorVariable()]
2022-11-23T01:32:38.1176606Z [2022-11-23 01:28:42,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.triu), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1176906Z [2022-11-23 01:28:42,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1177151Z [2022-11-23 01:28:42,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1177468Z [2022-11-23 01:28:42,974] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f642e420, file "inductor/test_torchinductor.py", line 3160>
2022-11-23T01:32:38.1177709Z [2022-11-23 01:28:42,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1177943Z [2022-11-23 01:28:42,974] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.1178196Z [2022-11-23 01:28:42,976] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.1178441Z [2022-11-23 01:28:42,985] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.1178627Z [2022-11-23 01:28:42,985] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.1178766Z  __compiled_fn_406 <eval_with_key>.2510 opcode, name, target, args, kwargs
2022-11-23T01:32:38.1178855Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.1178960Z call_function, triu, aten.triu, (ex_0_, 1), {}
2022-11-23T01:32:38.1179053Z call_function, triu_1, aten.triu, (ex_0_, 0), {}
2022-11-23T01:32:38.1179157Z call_function, triu_2, aten.triu, (ex_0_, 2), {}
2022-11-23T01:32:38.1179272Z output, output, output, ((triu, triu_1, triu_2),), {}
2022-11-23T01:32:38.1179277Z 
2022-11-23T01:32:38.1179587Z [2022-11-23 01:28:42,986] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1179679Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1179768Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1179860Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.1179951Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.1180041Z               8 RETURN_VALUE
2022-11-23T01:32:38.1180047Z 
2022-11-23T01:32:38.1180106Z  
2022-11-23T01:32:38.1180378Z [2022-11-23 01:28:42,986] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1180483Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_406)
2022-11-23T01:32:38.1180572Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1180661Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1180739Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.1180817Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.1180920Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.1181020Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1181107Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1181184Z              16 BINARY_SUBSCR
2022-11-23T01:32:38.1181284Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1181373Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:38.1181435Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.1181534Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1181620Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:38.1181695Z              28 BINARY_SUBSCR
2022-11-23T01:32:38.1181782Z              30 BUILD_TUPLE              3
2022-11-23T01:32:38.1181855Z              32 RETURN_VALUE
2022-11-23T01:32:38.1181860Z 
2022-11-23T01:32:38.1181921Z  
2022-11-23T01:32:38.1182106Z [2022-11-23 01:28:42,987] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.1182162Z  - 
2022-11-23T01:32:38.1182279Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.1182342Z             {
2022-11-23T01:32:38.1182482Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.1182667Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.1182785Z                 'obj_weakref': None
2022-11-23T01:32:38.1183010Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.1183062Z             }
2022-11-23T01:32:38.1183124Z             
2022-11-23T01:32:38.1183193Z  - 
2022-11-23T01:32:38.1183315Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.1183376Z             {
2022-11-23T01:32:38.1183521Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1183614Z                 'code': None,
2022-11-23T01:32:38.1183824Z                 'obj_weakref': <weakref at 0x7f7106dfed70; to 'Tensor' at 0x7f7106dfe0b0>
2022-11-23T01:32:38.1184071Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1184133Z             }
2022-11-23T01:32:38.1184195Z             
2022-11-23T01:32:38.1184263Z  - 
2022-11-23T01:32:38.1184395Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.1184529Z             {
2022-11-23T01:32:38.1184673Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.1184841Z                 'code': ['___check_obj_id(model, 140123058428960)'],
2022-11-23T01:32:38.1184959Z                 'obj_weakref': None
2022-11-23T01:32:38.1185186Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.1185250Z             }
2022-11-23T01:32:38.1185312Z             
2022-11-23T01:32:38.1185366Z  - 
2022-11-23T01:32:38.1185488Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.1185593Z             {
2022-11-23T01:32:38.1185729Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.1185943Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.1186060Z                 'obj_weakref': None
2022-11-23T01:32:38.1186276Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.1186338Z             }
2022-11-23T01:32:38.1186416Z             
2022-11-23T01:32:38.1186489Z  - 
2022-11-23T01:32:38.1186619Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:38.1186683Z             {
2022-11-23T01:32:38.1186801Z                 'guard_types': None,
2022-11-23T01:32:38.1186906Z                 'code': None,
2022-11-23T01:32:38.1187010Z                 'obj_weakref': None
2022-11-23T01:32:38.1187128Z                 'guarded_class': None
2022-11-23T01:32:38.1187190Z             }
2022-11-23T01:32:38.1187253Z             
2022-11-23T01:32:38.1187514Z [2022-11-23 01:28:43,000] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 398
2022-11-23T01:32:38.1187877Z [2022-11-23 01:28:45,931] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ig/cig5r3p6t2f74cekrdvgw5zcmln54ytrgdrixxecvjw7j3iqo3gi.py
2022-11-23T01:32:38.1188144Z [2022-11-23 01:28:45,932] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 398
2022-11-23T01:32:38.1188149Z 
2022-11-23T01:32:38.1188245Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.1188302Z import torch
2022-11-23T01:32:38.1188371Z import random
2022-11-23T01:32:38.1188488Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.1188610Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.1188615Z 
2022-11-23T01:32:38.1188695Z aten = torch.ops.aten
2022-11-23T01:32:38.1188829Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.1188920Z async_compile = AsyncCompile()
2022-11-23T01:32:38.1188927Z 
2022-11-23T01:32:38.1188932Z 
2022-11-23T01:32:38.1189065Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.1189257Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.1189374Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.1189473Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.1189570Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:38.1189666Z                        float* __restrict__ out_ptr2)
2022-11-23T01:32:38.1189726Z {
2022-11-23T01:32:38.1189824Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.1189875Z     {
2022-11-23T01:32:38.1189965Z         #pragma omp for  collapse(2)
2022-11-23T01:32:38.1190046Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:38.1190108Z         {
2022-11-23T01:32:38.1190192Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.1190256Z             {
2022-11-23T01:32:38.1190340Z                 #pragma GCC ivdep
2022-11-23T01:32:38.1190417Z                 for(long i2=0; i2<10; i2+=1)
2022-11-23T01:32:38.1190480Z                 {
2022-11-23T01:32:38.1190546Z                     {
2022-11-23T01:32:38.1190616Z                         {
2022-11-23T01:32:38.1190730Z                             auto tmp3 = in_ptr0[i2 + (10*i1) + (100*i0)];
2022-11-23T01:32:38.1190917Z                             auto tmp0 = static_cast<int>((-1) + i2 + ((-1)*i1));
2022-11-23T01:32:38.1191026Z                             auto tmp1 = static_cast<int>(0);
2022-11-23T01:32:38.1191109Z                             auto tmp2 = tmp0 >= tmp1;
2022-11-23T01:32:38.1191213Z                             auto tmp4 = static_cast<float>(0);
2022-11-23T01:32:38.1191316Z                             auto tmp5 = tmp2 ? tmp3 : tmp4;
2022-11-23T01:32:38.1191491Z                             auto tmp6 = static_cast<int>(i2 + ((-1)*i1));
2022-11-23T01:32:38.1191587Z                             auto tmp7 = tmp6 >= tmp1;
2022-11-23T01:32:38.1191721Z                             auto tmp8 = tmp7 ? tmp3 : tmp4;
2022-11-23T01:32:38.1191905Z                             auto tmp9 = static_cast<int>((-2) + i2 + ((-1)*i1));
2022-11-23T01:32:38.1192001Z                             auto tmp10 = tmp9 >= tmp1;
2022-11-23T01:32:38.1192092Z                             auto tmp11 = tmp10 ? tmp3 : tmp4;
2022-11-23T01:32:38.1192194Z                             out_ptr0[i2 + (10*i1) + (100*i0)] = tmp5;
2022-11-23T01:32:38.1192325Z                             out_ptr1[i2 + (10*i1) + (100*i0)] = tmp8;
2022-11-23T01:32:38.1192428Z                             out_ptr2[i2 + (10*i1) + (100*i0)] = tmp11;
2022-11-23T01:32:38.1192495Z                         }
2022-11-23T01:32:38.1192561Z                     }
2022-11-23T01:32:38.1192627Z                 }
2022-11-23T01:32:38.1192677Z             }
2022-11-23T01:32:38.1192740Z         }
2022-11-23T01:32:38.1192801Z     }
2022-11-23T01:32:38.1192861Z }
2022-11-23T01:32:38.1192939Z ''')
2022-11-23T01:32:38.1192946Z 
2022-11-23T01:32:38.1192951Z 
2022-11-23T01:32:38.1193041Z async_compile.wait(globals())
2022-11-23T01:32:38.1193112Z del async_compile
2022-11-23T01:32:38.1193117Z 
2022-11-23T01:32:38.1193175Z def call(args):
2022-11-23T01:32:38.1193243Z     arg0_1, = args
2022-11-23T01:32:38.1193315Z     args.clear()
2022-11-23T01:32:38.1193522Z     buf0 = empty_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1193729Z     buf1 = empty_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1193929Z     buf2 = empty_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1194119Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()))
2022-11-23T01:32:38.1194187Z     del arg0_1
2022-11-23T01:32:38.1194257Z     return (buf0, buf1, buf2, )
2022-11-23T01:32:38.1194262Z 
2022-11-23T01:32:38.1194266Z 
2022-11-23T01:32:38.1194343Z if __name__ == "__main__":
2022-11-23T01:32:38.1194460Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.1194582Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.1194788Z     arg0_1 = rand_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1194896Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.1194901Z 
2022-11-23T01:32:38.1194966Z ok (3.022s)
2022-11-23T01:32:38.1195272Z   test_unbind_cpu (__main__.CpuTests) ... [2022-11-23 01:28:45,944] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.1195529Z [2022-11-23 01:28:45,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.1195747Z [2022-11-23 01:28:45,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.1195997Z [2022-11-23 01:28:45,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.1196283Z [2022-11-23 01:28:45,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.1196603Z [2022-11-23 01:28:45,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.1196933Z [2022-11-23 01:28:45,945] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6406ae0, file "inductor/test_torchinductor.py", line 1799> 
2022-11-23T01:32:38.1197029Z  1800           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.1197234Z                2 LOAD_METHOD              1 (unbind)
2022-11-23T01:32:38.1197325Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1197403Z                6 CALL_METHOD              1
2022-11-23T01:32:38.1197497Z                8 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.1197594Z               10 LOAD_METHOD              1 (unbind)
2022-11-23T01:32:38.1197742Z               12 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1197886Z               14 LOAD_CONST               1 (-1)
2022-11-23T01:32:38.1197976Z               16 CALL_METHOD              2
2022-11-23T01:32:38.1198064Z               18 BUILD_TUPLE              2
2022-11-23T01:32:38.1198127Z               20 RETURN_VALUE
2022-11-23T01:32:38.1198188Z  
2022-11-23T01:32:38.1198193Z 
2022-11-23T01:32:38.1198515Z [2022-11-23 01:28:45,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1800
2022-11-23T01:32:38.1198736Z [2022-11-23 01:28:45,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.1199109Z [2022-11-23 01:28:45,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unbind [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.1199435Z [2022-11-23 01:28:45,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method unbind of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.1199793Z [2022-11-23 01:28:45,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(<built-in method unbind of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.1200034Z [2022-11-23 01:28:45,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TupleVariable()]
2022-11-23T01:32:38.1200428Z [2022-11-23 01:28:45,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unbind [TupleVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.1200775Z [2022-11-23 01:28:45,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TupleVariable(), TorchVariable(<built-in method unbind of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.1201158Z [2022-11-23 01:28:45,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TupleVariable(), TorchVariable(<built-in method unbind of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.1201566Z [2022-11-23 01:28:45,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TupleVariable(), TorchVariable(<built-in method unbind of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1201833Z [2022-11-23 01:28:45,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TupleVariable(), TupleVariable()]
2022-11-23T01:32:38.1202079Z [2022-11-23 01:28:45,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1202407Z [2022-11-23 01:28:45,958] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6406ae0, file "inductor/test_torchinductor.py", line 1799>
2022-11-23T01:32:38.1202649Z [2022-11-23 01:28:45,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1202883Z [2022-11-23 01:28:45,958] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.1203136Z [2022-11-23 01:28:45,961] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.1203384Z [2022-11-23 01:28:45,968] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.1203573Z [2022-11-23 01:28:45,968] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.1203709Z  __compiled_fn_407 <eval_with_key>.2516 opcode, name, target, args, kwargs
2022-11-23T01:32:38.1203786Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.1204016Z call_function, unbind, <built-in method unbind of type object at 0x7f71f2abebc0>, (ex_0_,), {}
2022-11-23T01:32:38.1204205Z call_function, getitem, <built-in function getitem>, (unbind, 0), {}
2022-11-23T01:32:38.1204395Z call_function, getitem_1, <built-in function getitem>, (unbind, 1), {}
2022-11-23T01:32:38.1204582Z call_function, getitem_2, <built-in function getitem>, (unbind, 2), {}
2022-11-23T01:32:38.1204839Z call_function, getitem_3, <built-in function getitem>, (unbind, 3), {}
2022-11-23T01:32:38.1205076Z call_function, unbind_1, <built-in method unbind of type object at 0x7f71f2abebc0>, (ex_0_, -1), {}
2022-11-23T01:32:38.1205268Z call_function, getitem_4, <built-in function getitem>, (unbind_1, 0), {}
2022-11-23T01:32:38.1205447Z call_function, getitem_5, <built-in function getitem>, (unbind_1, 1), {}
2022-11-23T01:32:38.1205637Z call_function, getitem_6, <built-in function getitem>, (unbind_1, 2), {}
2022-11-23T01:32:38.1205853Z call_function, getitem_7, <built-in function getitem>, (unbind_1, 3), {}
2022-11-23T01:32:38.1206031Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, getitem_4, getitem_5, getitem_6, getitem_7),), {}
2022-11-23T01:32:38.1206037Z 
2022-11-23T01:32:38.1206319Z [2022-11-23 01:28:45,969] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1206413Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1206507Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1206602Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.1206679Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.1206756Z               8 RETURN_VALUE
2022-11-23T01:32:38.1206761Z 
2022-11-23T01:32:38.1206824Z  
2022-11-23T01:32:38.1207099Z [2022-11-23 01:28:45,969] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1207209Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_407)
2022-11-23T01:32:38.1207300Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1207391Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1207456Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.1207546Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.1207651Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.1207754Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1207846Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1207925Z              16 BINARY_SUBSCR
2022-11-23T01:32:38.1208026Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1208114Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:38.1208177Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.1208276Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1208368Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:38.1208445Z              28 BINARY_SUBSCR
2022-11-23T01:32:38.1208545Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1208633Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:38.1208709Z              34 BINARY_SUBSCR
2022-11-23T01:32:38.1208782Z              36 BUILD_TUPLE              4
2022-11-23T01:32:38.1208883Z              38 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1208973Z              40 LOAD_CONST               5 (4)
2022-11-23T01:32:38.1209049Z              42 BINARY_SUBSCR
2022-11-23T01:32:38.1209151Z              44 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1209238Z              46 LOAD_CONST               6 (5)
2022-11-23T01:32:38.1209315Z              48 BINARY_SUBSCR
2022-11-23T01:32:38.1209404Z              50 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1209492Z              52 LOAD_CONST               7 (6)
2022-11-23T01:32:38.1209570Z              54 BINARY_SUBSCR
2022-11-23T01:32:38.1209672Z              56 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1209760Z              58 LOAD_CONST               8 (7)
2022-11-23T01:32:38.1209836Z              60 BINARY_SUBSCR
2022-11-23T01:32:38.1209926Z              62 BUILD_TUPLE              4
2022-11-23T01:32:38.1210001Z              64 BUILD_TUPLE              2
2022-11-23T01:32:38.1210076Z              66 RETURN_VALUE
2022-11-23T01:32:38.1210081Z 
2022-11-23T01:32:38.1210177Z  
2022-11-23T01:32:38.1210361Z [2022-11-23 01:28:45,970] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.1210432Z  - 
2022-11-23T01:32:38.1210551Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.1210618Z             {
2022-11-23T01:32:38.1210745Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.1210931Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.1211078Z                 'obj_weakref': None
2022-11-23T01:32:38.1211303Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.1211370Z             }
2022-11-23T01:32:38.1211435Z             
2022-11-23T01:32:38.1211506Z  - 
2022-11-23T01:32:38.1211617Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.1211680Z             {
2022-11-23T01:32:38.1211825Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1211933Z                 'code': None,
2022-11-23T01:32:38.1212143Z                 'obj_weakref': <weakref at 0x7f7106526470; to 'Tensor' at 0x7f7106dbf4d0>
2022-11-23T01:32:38.1212393Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1212459Z             }
2022-11-23T01:32:38.1212510Z             
2022-11-23T01:32:38.1212576Z  - 
2022-11-23T01:32:38.1212707Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.1212769Z             {
2022-11-23T01:32:38.1212904Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.1213072Z                 'code': ['___check_obj_id(model, 140123620755792)'],
2022-11-23T01:32:38.1213190Z                 'obj_weakref': None
2022-11-23T01:32:38.1213405Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.1213470Z             }
2022-11-23T01:32:38.1213532Z             
2022-11-23T01:32:38.1213599Z  - 
2022-11-23T01:32:38.1213720Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.1213785Z             {
2022-11-23T01:32:38.1213921Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.1214122Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.1214238Z                 'obj_weakref': None
2022-11-23T01:32:38.1214454Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.1214517Z             }
2022-11-23T01:32:38.1214580Z             
2022-11-23T01:32:38.1214647Z  - 
2022-11-23T01:32:38.1214780Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.1214830Z             {
2022-11-23T01:32:38.1214947Z                 'guard_types': None,
2022-11-23T01:32:38.1215052Z                 'code': None,
2022-11-23T01:32:38.1215167Z                 'obj_weakref': None
2022-11-23T01:32:38.1215287Z                 'guarded_class': None
2022-11-23T01:32:38.1215349Z             }
2022-11-23T01:32:38.1215412Z             
2022-11-23T01:32:38.1215660Z [2022-11-23 01:28:45,984] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 399
2022-11-23T01:32:38.1216029Z [2022-11-23 01:28:45,993] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m2/cm2vcwssqzdyg72fooo5jhcoqpfvhrsbx4rwk5brao54guvo4kod.py
2022-11-23T01:32:38.1216289Z [2022-11-23 01:28:45,993] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 399
2022-11-23T01:32:38.1216294Z 
2022-11-23T01:32:38.1216390Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.1216460Z import torch
2022-11-23T01:32:38.1216528Z import random
2022-11-23T01:32:38.1216641Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.1216764Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.1216769Z 
2022-11-23T01:32:38.1216835Z aten = torch.ops.aten
2022-11-23T01:32:38.1216967Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.1217058Z async_compile = AsyncCompile()
2022-11-23T01:32:38.1217094Z 
2022-11-23T01:32:38.1217098Z 
2022-11-23T01:32:38.1217186Z async_compile.wait(globals())
2022-11-23T01:32:38.1217257Z del async_compile
2022-11-23T01:32:38.1217262Z 
2022-11-23T01:32:38.1217331Z def call(args):
2022-11-23T01:32:38.1217401Z     arg0_1, = args
2022-11-23T01:32:38.1217472Z     args.clear()
2022-11-23T01:32:38.1217761Z     return (as_strided(arg0_1, (4, 4), (4, 1)), as_strided(arg0_1, (4, 4), (4, 1), 16), as_strided(arg0_1, (4, 4), (4, 1), 32), as_strided(arg0_1, (4, 4), (4, 1), 48), as_strided(arg0_1, (4, 4), (16, 4)), as_strided(arg0_1, (4, 4), (16, 4), 1), as_strided(arg0_1, (4, 4), (16, 4), 2), as_strided(arg0_1, (4, 4), (16, 4), 3), )
2022-11-23T01:32:38.1217780Z 
2022-11-23T01:32:38.1217784Z 
2022-11-23T01:32:38.1217848Z if __name__ == "__main__":
2022-11-23T01:32:38.1217961Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.1218081Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.1218288Z     arg0_1 = rand_strided((4, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1218397Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.1218402Z 
2022-11-23T01:32:38.1218469Z ok (0.061s)
2022-11-23T01:32:38.1218793Z   test_unroll_small_reduction_cpu (__main__.CpuTests) ... [2022-11-23 01:28:46,005] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.1219066Z [2022-11-23 01:28:46,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.1219283Z [2022-11-23 01:28:46,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.1219524Z [2022-11-23 01:28:46,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.1219808Z [2022-11-23 01:28:46,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.1220129Z [2022-11-23 01:28:46,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.1220454Z [2022-11-23 01:28:46,006] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f646c8a0, file "inductor/test_torchinductor.py", line 803> 
2022-11-23T01:32:38.1220544Z  804           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1220637Z               2 LOAD_METHOD              0 (min)
2022-11-23T01:32:38.1220775Z               4 LOAD_CONST               1 (-1)
2022-11-23T01:32:38.1220860Z               6 CALL_METHOD              1
2022-11-23T01:32:38.1220938Z               8 UNPACK_SEQUENCE          2
2022-11-23T01:32:38.1221028Z              10 STORE_FAST               1 (val1)
2022-11-23T01:32:38.1221120Z              12 STORE_FAST               2 (index1)
2022-11-23T01:32:38.1221125Z 
2022-11-23T01:32:38.1221214Z 805          14 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1221304Z              16 LOAD_METHOD              1 (max)
2022-11-23T01:32:38.1221440Z              18 LOAD_CONST               1 (-1)
2022-11-23T01:32:38.1221528Z              20 CALL_METHOD              1
2022-11-23T01:32:38.1221616Z              22 UNPACK_SEQUENCE          2
2022-11-23T01:32:38.1221693Z              24 STORE_FAST               3 (val2)
2022-11-23T01:32:38.1221785Z              26 STORE_FAST               4 (index2)
2022-11-23T01:32:38.1221790Z 
2022-11-23T01:32:38.1221880Z 807          28 LOAD_FAST                1 (val1)
2022-11-23T01:32:38.1221885Z 
2022-11-23T01:32:38.1221974Z 808          30 LOAD_FAST                2 (index1)
2022-11-23T01:32:38.1221979Z 
2022-11-23T01:32:38.1222065Z 809          32 LOAD_FAST                3 (val2)
2022-11-23T01:32:38.1222070Z 
2022-11-23T01:32:38.1222159Z 810          34 LOAD_FAST                4 (index2)
2022-11-23T01:32:38.1222163Z 
2022-11-23T01:32:38.1222249Z 811          36 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1222341Z              38 LOAD_METHOD              2 (sum)
2022-11-23T01:32:38.1222494Z              40 LOAD_CONST               1 (-1)
2022-11-23T01:32:38.1222578Z              42 CALL_METHOD              1
2022-11-23T01:32:38.1222583Z 
2022-11-23T01:32:38.1222669Z 812          44 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1222758Z              46 LOAD_CONST               2 (1)
2022-11-23T01:32:38.1222851Z              48 COMPARE_OP               4 (>)
2022-11-23T01:32:38.1222941Z              50 LOAD_METHOD              3 (any)
2022-11-23T01:32:38.1223108Z              52 LOAD_CONST               1 (-1)
2022-11-23T01:32:38.1223195Z              54 CALL_METHOD              1
2022-11-23T01:32:38.1223199Z 
2022-11-23T01:32:38.1223274Z 813          56 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1223359Z              58 LOAD_CONST               3 (0)
2022-11-23T01:32:38.1223448Z              60 COMPARE_OP               4 (>)
2022-11-23T01:32:38.1223537Z              62 LOAD_METHOD              4 (all)
2022-11-23T01:32:38.1223673Z              64 LOAD_CONST               1 (-1)
2022-11-23T01:32:38.1223759Z              66 CALL_METHOD              1
2022-11-23T01:32:38.1223764Z 
2022-11-23T01:32:38.1223850Z 814          68 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1223942Z              70 LOAD_METHOD              5 (argmin)
2022-11-23T01:32:38.1224062Z              72 LOAD_CONST               1 (-1)
2022-11-23T01:32:38.1224145Z              74 CALL_METHOD              1
2022-11-23T01:32:38.1224150Z 
2022-11-23T01:32:38.1224235Z 815          76 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1224325Z              78 LOAD_METHOD              6 (argmax)
2022-11-23T01:32:38.1224529Z              80 LOAD_CONST               1 (-1)
2022-11-23T01:32:38.1224615Z              82 CALL_METHOD              1
2022-11-23T01:32:38.1224619Z 
2022-11-23T01:32:38.1224704Z 816          84 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1224783Z              86 LOAD_METHOD              7 (amin)
2022-11-23T01:32:38.1224916Z              88 LOAD_CONST               1 (-1)
2022-11-23T01:32:38.1225002Z              90 CALL_METHOD              1
2022-11-23T01:32:38.1225006Z 
2022-11-23T01:32:38.1225093Z 817          92 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1225183Z              94 LOAD_METHOD              8 (amax)
2022-11-23T01:32:38.1225315Z              96 LOAD_CONST               1 (-1)
2022-11-23T01:32:38.1225403Z              98 CALL_METHOD              1
2022-11-23T01:32:38.1225488Z             100 BUILD_TUPLE             11
2022-11-23T01:32:38.1225553Z             102 RETURN_VALUE
2022-11-23T01:32:38.1225615Z  
2022-11-23T01:32:38.1225620Z 
2022-11-23T01:32:38.1225890Z [2022-11-23 01:28:46,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:804
2022-11-23T01:32:38.1226100Z [2022-11-23 01:28:46,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.1226344Z [2022-11-23 01:28:46,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable()]
2022-11-23T01:32:38.1226621Z [2022-11-23 01:28:46,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:32:38.1226935Z [2022-11-23 01:28:46,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), min), ConstantVariable(int)]
2022-11-23T01:32:38.1227192Z [2022-11-23 01:28:46,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()]
2022-11-23T01:32:38.1227465Z [2022-11-23 01:28:46,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1227698Z [2022-11-23 01:28:46,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index1 [TensorVariable()]
2022-11-23T01:32:38.1227966Z [2022-11-23 01:28:46,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:805
2022-11-23T01:32:38.1228172Z [2022-11-23 01:28:46,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.1228460Z [2022-11-23 01:28:46,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()]
2022-11-23T01:32:38.1228734Z [2022-11-23 01:28:46,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:32:38.1229046Z [2022-11-23 01:28:46,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), max), ConstantVariable(int)]
2022-11-23T01:32:38.1229330Z [2022-11-23 01:28:46,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()]
2022-11-23T01:32:38.1229599Z [2022-11-23 01:28:46,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1229844Z [2022-11-23 01:28:46,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index2 [TensorVariable()]
2022-11-23T01:32:38.1230097Z [2022-11-23 01:28:46,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:807
2022-11-23T01:32:38.1230308Z [2022-11-23 01:28:46,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val1 []
2022-11-23T01:32:38.1230571Z [2022-11-23 01:28:46,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:808
2022-11-23T01:32:38.1230815Z [2022-11-23 01:28:46,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index1 [TensorVariable()]
2022-11-23T01:32:38.1231079Z [2022-11-23 01:28:46,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:809
2022-11-23T01:32:38.1231345Z [2022-11-23 01:28:46,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1231605Z [2022-11-23 01:28:46,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:810
2022-11-23T01:32:38.1231903Z [2022-11-23 01:28:46,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1232163Z [2022-11-23 01:28:46,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:811
2022-11-23T01:32:38.1232479Z [2022-11-23 01:28:46,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1232817Z [2022-11-23 01:28:46,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1233202Z [2022-11-23 01:28:46,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:38.1233633Z [2022-11-23 01:28:46,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:38.1233896Z [2022-11-23 01:28:46,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:812
2022-11-23T01:32:38.1234239Z [2022-11-23 01:28:46,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1234611Z [2022-11-23 01:28:46,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1235027Z [2022-11-23 01:28:46,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1235402Z [2022-11-23 01:28:46,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1235853Z [2022-11-23 01:28:46,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:32:38.1236337Z [2022-11-23 01:28:46,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any), ConstantVariable(int)]
2022-11-23T01:32:38.1236604Z [2022-11-23 01:28:46,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:813
2022-11-23T01:32:38.1236978Z [2022-11-23 01:28:46,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1237483Z [2022-11-23 01:28:46,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1237928Z [2022-11-23 01:28:46,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1238335Z [2022-11-23 01:28:46,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1238766Z [2022-11-23 01:28:46,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all)]
2022-11-23T01:32:38.1239254Z [2022-11-23 01:28:46,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all), ConstantVariable(int)]
2022-11-23T01:32:38.1239520Z [2022-11-23 01:28:46,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:814
2022-11-23T01:32:38.1239923Z [2022-11-23 01:28:46,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1240360Z [2022-11-23 01:28:46,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1240834Z [2022-11-23 01:28:46,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T01:32:38.1241350Z [2022-11-23 01:28:46,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin), ConstantVariable(int)]
2022-11-23T01:32:38.1241617Z [2022-11-23 01:28:46,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:815
2022-11-23T01:32:38.1242047Z [2022-11-23 01:28:46,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1242513Z [2022-11-23 01:28:46,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1243071Z [2022-11-23 01:28:46,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T01:32:38.1243667Z [2022-11-23 01:28:46,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax), ConstantVariable(int)]
2022-11-23T01:32:38.1243937Z [2022-11-23 01:28:46,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:816
2022-11-23T01:32:38.1244390Z [2022-11-23 01:28:46,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1244888Z [2022-11-23 01:28:46,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1245416Z [2022-11-23 01:28:46,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin)]
2022-11-23T01:32:38.1245984Z [2022-11-23 01:28:46,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin), ConstantVariable(int)]
2022-11-23T01:32:38.1246249Z [2022-11-23 01:28:46,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:817
2022-11-23T01:32:38.1246735Z [2022-11-23 01:28:46,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1247256Z [2022-11-23 01:28:46,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1247808Z [2022-11-23 01:28:46,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax)]
2022-11-23T01:32:38.1248401Z [2022-11-23 01:28:46,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax), ConstantVariable(int)]
2022-11-23T01:32:38.1248916Z [2022-11-23 01:28:46,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 11 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1249150Z [2022-11-23 01:28:46,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1249477Z [2022-11-23 01:28:46,034] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f646c8a0, file "inductor/test_torchinductor.py", line 803>
2022-11-23T01:32:38.1249753Z [2022-11-23 01:28:46,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1249988Z [2022-11-23 01:28:46,034] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.1250239Z [2022-11-23 01:28:46,037] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.1250523Z [2022-11-23 01:28:46,051] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.1250716Z [2022-11-23 01:28:46,052] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.1250849Z  __compiled_fn_408 <eval_with_key>.2522 opcode, name, target, args, kwargs
2022-11-23T01:32:38.1250937Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.1251059Z call_method, min_1, min, (ex_0_, -1), {}
2022-11-23T01:32:38.1251244Z call_function, getitem, <built-in function getitem>, (min_1, 0), {}
2022-11-23T01:32:38.1251433Z call_function, getitem_1, <built-in function getitem>, (min_1, 1), {}
2022-11-23T01:32:38.1251565Z call_method, max_1, max, (ex_0_, -1), {}
2022-11-23T01:32:38.1251750Z call_function, getitem_2, <built-in function getitem>, (max_1, 0), {}
2022-11-23T01:32:38.1251931Z call_function, getitem_3, <built-in function getitem>, (max_1, 1), {}
2022-11-23T01:32:38.1252061Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:32:38.1252217Z call_function, gt, <built-in function gt>, (ex_0_, 1), {}
2022-11-23T01:32:38.1252343Z call_method, any_1, any, (gt, -1), {}
2022-11-23T01:32:38.1252510Z call_function, gt_1, <built-in function gt>, (ex_0_, 0), {}
2022-11-23T01:32:38.1252638Z call_method, all_1, all, (gt_1, -1), {}
2022-11-23T01:32:38.1252779Z call_method, argmin, argmin, (ex_0_, -1), {}
2022-11-23T01:32:38.1252920Z call_method, argmax, argmax, (ex_0_, -1), {}
2022-11-23T01:32:38.1253053Z call_method, amin, amin, (ex_0_, -1), {}
2022-11-23T01:32:38.1253184Z call_method, amax, amax, (ex_0_, -1), {}
2022-11-23T01:32:38.1253352Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, sum_1, any_1, all_1, argmin, argmax, amin, amax),), {}
2022-11-23T01:32:38.1253358Z 
2022-11-23T01:32:38.1253637Z [2022-11-23 01:28:46,053] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1253731Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1253823Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1253915Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.1254004Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.1254079Z               8 RETURN_VALUE
2022-11-23T01:32:38.1254086Z 
2022-11-23T01:32:38.1254146Z  
2022-11-23T01:32:38.1254407Z [2022-11-23 01:28:46,053] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1254518Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_408)
2022-11-23T01:32:38.1254608Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1254696Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1254773Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.1254860Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.1254968Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.1255055Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1255143Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1255220Z              16 BINARY_SUBSCR
2022-11-23T01:32:38.1255319Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1255406Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:38.1255481Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.1255579Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1255653Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:38.1255760Z              28 BINARY_SUBSCR
2022-11-23T01:32:38.1255859Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1255947Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:38.1256022Z              34 BINARY_SUBSCR
2022-11-23T01:32:38.1256122Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1256208Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:38.1256296Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.1256398Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1256487Z              44 LOAD_CONST               6 (5)
2022-11-23T01:32:38.1256563Z              46 BINARY_SUBSCR
2022-11-23T01:32:38.1256661Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1256748Z              50 LOAD_CONST               7 (6)
2022-11-23T01:32:38.1256823Z              52 BINARY_SUBSCR
2022-11-23T01:32:38.1256923Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1257000Z              56 LOAD_CONST               8 (7)
2022-11-23T01:32:38.1257075Z              58 BINARY_SUBSCR
2022-11-23T01:32:38.1257173Z              60 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1257261Z              62 LOAD_CONST               9 (8)
2022-11-23T01:32:38.1257337Z              64 BINARY_SUBSCR
2022-11-23T01:32:38.1257437Z              66 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1257527Z              68 LOAD_CONST              10 (9)
2022-11-23T01:32:38.1257590Z              70 BINARY_SUBSCR
2022-11-23T01:32:38.1257689Z              72 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1257778Z              74 LOAD_CONST              11 (10)
2022-11-23T01:32:38.1257853Z              76 BINARY_SUBSCR
2022-11-23T01:32:38.1257943Z              78 BUILD_TUPLE             11
2022-11-23T01:32:38.1258019Z              80 RETURN_VALUE
2022-11-23T01:32:38.1258025Z 
2022-11-23T01:32:38.1258090Z  
2022-11-23T01:32:38.1258259Z [2022-11-23 01:28:46,054] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.1258328Z  - 
2022-11-23T01:32:38.1258454Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.1258520Z             {
2022-11-23T01:32:38.1258663Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.1258850Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.1258971Z                 'obj_weakref': None
2022-11-23T01:32:38.1259184Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.1259251Z             }
2022-11-23T01:32:38.1259315Z             
2022-11-23T01:32:38.1259386Z  - 
2022-11-23T01:32:38.1259511Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.1259576Z             {
2022-11-23T01:32:38.1259717Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1259810Z                 'code': None,
2022-11-23T01:32:38.1260017Z                 'obj_weakref': <weakref at 0x7f7106e6a2f0; to 'Tensor' at 0x7f71072347d0>
2022-11-23T01:32:38.1260268Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1260333Z             }
2022-11-23T01:32:38.1260398Z             
2022-11-23T01:32:38.1260469Z  - 
2022-11-23T01:32:38.1260601Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.1260651Z             {
2022-11-23T01:32:38.1260787Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.1260958Z                 'code': ['___check_obj_id(model, 140123416378976)'],
2022-11-23T01:32:38.1261077Z                 'obj_weakref': None
2022-11-23T01:32:38.1261309Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.1261374Z             }
2022-11-23T01:32:38.1261438Z             
2022-11-23T01:32:38.1261494Z  - 
2022-11-23T01:32:38.1261615Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.1261708Z             {
2022-11-23T01:32:38.1261847Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.1262062Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.1262181Z                 'obj_weakref': None
2022-11-23T01:32:38.1262401Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.1262450Z             }
2022-11-23T01:32:38.1262544Z             
2022-11-23T01:32:38.1262805Z [2022-11-23 01:28:46,080] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 400
2022-11-23T01:32:38.1263178Z [2022-11-23 01:28:48,806] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/va/cva2lysbggsvrhvn6g3bxk5k4fgzwr7ip2zslumfyfrpfmv74ugn.py
2022-11-23T01:32:38.1263445Z [2022-11-23 01:28:48,807] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 400
2022-11-23T01:32:38.1263680Z [2022-11-23 01:28:48,820] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.1263950Z [2022-11-23 01:28:48,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.1264166Z [2022-11-23 01:28:48,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.1264416Z [2022-11-23 01:28:48,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.1264782Z [2022-11-23 01:28:48,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.1265103Z [2022-11-23 01:28:48,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.1265427Z [2022-11-23 01:28:48,821] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f646c8a0, file "inductor/test_torchinductor.py", line 803> 
2022-11-23T01:32:38.1265522Z  804           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1265618Z               2 LOAD_METHOD              0 (min)
2022-11-23T01:32:38.1265757Z               4 LOAD_CONST               1 (-1)
2022-11-23T01:32:38.1265845Z               6 CALL_METHOD              1
2022-11-23T01:32:38.1265937Z               8 UNPACK_SEQUENCE          2
2022-11-23T01:32:38.1266016Z              10 STORE_FAST               1 (val1)
2022-11-23T01:32:38.1266114Z              12 STORE_FAST               2 (index1)
2022-11-23T01:32:38.1266119Z 
2022-11-23T01:32:38.1266208Z 805          14 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1266299Z              16 LOAD_METHOD              1 (max)
2022-11-23T01:32:38.1266432Z              18 LOAD_CONST               1 (-1)
2022-11-23T01:32:38.1266518Z              20 CALL_METHOD              1
2022-11-23T01:32:38.1266606Z              22 UNPACK_SEQUENCE          2
2022-11-23T01:32:38.1266698Z              24 STORE_FAST               3 (val2)
2022-11-23T01:32:38.1266779Z              26 STORE_FAST               4 (index2)
2022-11-23T01:32:38.1266784Z 
2022-11-23T01:32:38.1266874Z 807          28 LOAD_FAST                1 (val1)
2022-11-23T01:32:38.1266879Z 
2022-11-23T01:32:38.1266973Z 808          30 LOAD_FAST                2 (index1)
2022-11-23T01:32:38.1266978Z 
2022-11-23T01:32:38.1267065Z 809          32 LOAD_FAST                3 (val2)
2022-11-23T01:32:38.1267070Z 
2022-11-23T01:32:38.1267164Z 810          34 LOAD_FAST                4 (index2)
2022-11-23T01:32:38.1267169Z 
2022-11-23T01:32:38.1267256Z 811          36 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1267347Z              38 LOAD_METHOD              2 (sum)
2022-11-23T01:32:38.1267482Z              40 LOAD_CONST               1 (-1)
2022-11-23T01:32:38.1267556Z              42 CALL_METHOD              1
2022-11-23T01:32:38.1267574Z 
2022-11-23T01:32:38.1267648Z 812          44 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1267735Z              46 LOAD_CONST               2 (1)
2022-11-23T01:32:38.1267861Z              48 COMPARE_OP               4 (>)
2022-11-23T01:32:38.1267952Z              50 LOAD_METHOD              3 (any)
2022-11-23T01:32:38.1268086Z              52 LOAD_CONST               1 (-1)
2022-11-23T01:32:38.1268170Z              54 CALL_METHOD              1
2022-11-23T01:32:38.1268175Z 
2022-11-23T01:32:38.1268262Z 813          56 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1268335Z              58 LOAD_CONST               3 (0)
2022-11-23T01:32:38.1268451Z              60 COMPARE_OP               4 (>)
2022-11-23T01:32:38.1268543Z              62 LOAD_METHOD              4 (all)
2022-11-23T01:32:38.1268675Z              64 LOAD_CONST               1 (-1)
2022-11-23T01:32:38.1268760Z              66 CALL_METHOD              1
2022-11-23T01:32:38.1268764Z 
2022-11-23T01:32:38.1268850Z 814          68 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1268941Z              70 LOAD_METHOD              5 (argmin)
2022-11-23T01:32:38.1269073Z              72 LOAD_CONST               1 (-1)
2022-11-23T01:32:38.1269148Z              74 CALL_METHOD              1
2022-11-23T01:32:38.1269153Z 
2022-11-23T01:32:38.1269238Z 815          76 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1269328Z              78 LOAD_METHOD              6 (argmax)
2022-11-23T01:32:38.1269459Z              80 LOAD_CONST               1 (-1)
2022-11-23T01:32:38.1269542Z              82 CALL_METHOD              1
2022-11-23T01:32:38.1269547Z 
2022-11-23T01:32:38.1269632Z 816          84 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1269723Z              86 LOAD_METHOD              7 (amin)
2022-11-23T01:32:38.1269842Z              88 LOAD_CONST               1 (-1)
2022-11-23T01:32:38.1269930Z              90 CALL_METHOD              1
2022-11-23T01:32:38.1269934Z 
2022-11-23T01:32:38.1270020Z 817          92 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1270108Z              94 LOAD_METHOD              8 (amax)
2022-11-23T01:32:38.1270240Z              96 LOAD_CONST               1 (-1)
2022-11-23T01:32:38.1270325Z              98 CALL_METHOD              1
2022-11-23T01:32:38.1270409Z             100 BUILD_TUPLE             11
2022-11-23T01:32:38.1270487Z             102 RETURN_VALUE
2022-11-23T01:32:38.1270534Z  
2022-11-23T01:32:38.1270539Z 
2022-11-23T01:32:38.1270808Z [2022-11-23 01:28:48,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:804
2022-11-23T01:32:38.1271018Z [2022-11-23 01:28:48,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.1271263Z [2022-11-23 01:28:48,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable()]
2022-11-23T01:32:38.1271540Z [2022-11-23 01:28:48,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), min)]
2022-11-23T01:32:38.1271855Z [2022-11-23 01:28:48,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), min), ConstantVariable(int)]
2022-11-23T01:32:38.1272111Z [2022-11-23 01:28:48,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()]
2022-11-23T01:32:38.1272379Z [2022-11-23 01:28:48,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val1 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1272623Z [2022-11-23 01:28:48,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index1 [TensorVariable()]
2022-11-23T01:32:38.1272874Z [2022-11-23 01:28:48,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:805
2022-11-23T01:32:38.1273078Z [2022-11-23 01:28:48,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.1273315Z [2022-11-23 01:28:48,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()]
2022-11-23T01:32:38.1273588Z [2022-11-23 01:28:48,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), max)]
2022-11-23T01:32:38.1273905Z [2022-11-23 01:28:48,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), max), ConstantVariable(int)]
2022-11-23T01:32:38.1274188Z [2022-11-23 01:28:48,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()]
2022-11-23T01:32:38.1274457Z [2022-11-23 01:28:48,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1274729Z [2022-11-23 01:28:48,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index2 [TensorVariable()]
2022-11-23T01:32:38.1274992Z [2022-11-23 01:28:48,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:807
2022-11-23T01:32:38.1275203Z [2022-11-23 01:28:48,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val1 []
2022-11-23T01:32:38.1275454Z [2022-11-23 01:28:48,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:808
2022-11-23T01:32:38.1275696Z [2022-11-23 01:28:48,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index1 [TensorVariable()]
2022-11-23T01:32:38.1275958Z [2022-11-23 01:28:48,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:809
2022-11-23T01:32:38.1276225Z [2022-11-23 01:28:48,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1276488Z [2022-11-23 01:28:48,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:810
2022-11-23T01:32:38.1276785Z [2022-11-23 01:28:48,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1277042Z [2022-11-23 01:28:48,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:811
2022-11-23T01:32:38.1277457Z [2022-11-23 01:28:48,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1277807Z [2022-11-23 01:28:48,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1278193Z [2022-11-23 01:28:48,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum)]
2022-11-23T01:32:38.1278611Z [2022-11-23 01:28:48,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)]
2022-11-23T01:32:38.1278875Z [2022-11-23 01:28:48,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:812
2022-11-23T01:32:38.1279221Z [2022-11-23 01:28:48,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1279596Z [2022-11-23 01:28:48,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1280017Z [2022-11-23 01:28:48,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1280397Z [2022-11-23 01:28:48,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1280815Z [2022-11-23 01:28:48,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any)]
2022-11-23T01:32:38.1281273Z [2022-11-23 01:28:48,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any), ConstantVariable(int)]
2022-11-23T01:32:38.1281598Z [2022-11-23 01:28:48,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:813
2022-11-23T01:32:38.1282002Z [2022-11-23 01:28:48,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1282409Z [2022-11-23 01:28:48,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1282854Z [2022-11-23 01:28:48,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1283260Z [2022-11-23 01:28:48,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1283705Z [2022-11-23 01:28:48,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all)]
2022-11-23T01:32:38.1284189Z [2022-11-23 01:28:48,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all), ConstantVariable(int)]
2022-11-23T01:32:38.1284453Z [2022-11-23 01:28:48,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:814
2022-11-23T01:32:38.1284846Z [2022-11-23 01:28:48,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1285283Z [2022-11-23 01:28:48,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1285762Z [2022-11-23 01:28:48,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)]
2022-11-23T01:32:38.1286276Z [2022-11-23 01:28:48,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin), ConstantVariable(int)]
2022-11-23T01:32:38.1286541Z [2022-11-23 01:28:48,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:815
2022-11-23T01:32:38.1286969Z [2022-11-23 01:28:48,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1287435Z [2022-11-23 01:28:48,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1287938Z [2022-11-23 01:28:48,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)]
2022-11-23T01:32:38.1288516Z [2022-11-23 01:28:48,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax), ConstantVariable(int)]
2022-11-23T01:32:38.1288818Z [2022-11-23 01:28:48,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:816
2022-11-23T01:32:38.1289273Z [2022-11-23 01:28:48,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1289766Z [2022-11-23 01:28:48,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1290302Z [2022-11-23 01:28:48,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin)]
2022-11-23T01:32:38.1290869Z [2022-11-23 01:28:48,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin), ConstantVariable(int)]
2022-11-23T01:32:38.1291136Z [2022-11-23 01:28:48,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:817
2022-11-23T01:32:38.1291621Z [2022-11-23 01:28:48,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1292140Z [2022-11-23 01:28:48,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1292701Z [2022-11-23 01:28:48,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax)]
2022-11-23T01:32:38.1293296Z [2022-11-23 01:28:48,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax), ConstantVariable(int)]
2022-11-23T01:32:38.1293810Z [2022-11-23 01:28:48,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 11 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1294059Z [2022-11-23 01:28:48,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1294389Z [2022-11-23 01:28:48,847] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f646c8a0, file "inductor/test_torchinductor.py", line 803>
2022-11-23T01:32:38.1294617Z [2022-11-23 01:28:48,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1294849Z [2022-11-23 01:28:48,847] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.1295134Z [2022-11-23 01:28:48,850] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.1295382Z [2022-11-23 01:28:48,864] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.1295568Z [2022-11-23 01:28:48,865] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.1295727Z  __compiled_fn_409 <eval_with_key>.2528 opcode, name, target, args, kwargs
2022-11-23T01:32:38.1295818Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.1295954Z call_method, min_1, min, (ex_0_, -1), {}
2022-11-23T01:32:38.1296127Z call_function, getitem, <built-in function getitem>, (min_1, 0), {}
2022-11-23T01:32:38.1296313Z call_function, getitem_1, <built-in function getitem>, (min_1, 1), {}
2022-11-23T01:32:38.1296445Z call_method, max_1, max, (ex_0_, -1), {}
2022-11-23T01:32:38.1296630Z call_function, getitem_2, <built-in function getitem>, (max_1, 0), {}
2022-11-23T01:32:38.1296813Z call_function, getitem_3, <built-in function getitem>, (max_1, 1), {}
2022-11-23T01:32:38.1296945Z call_method, sum_1, sum, (ex_0_, -1), {}
2022-11-23T01:32:38.1297110Z call_function, gt, <built-in function gt>, (ex_0_, 1), {}
2022-11-23T01:32:38.1297225Z call_method, any_1, any, (gt, -1), {}
2022-11-23T01:32:38.1297391Z call_function, gt_1, <built-in function gt>, (ex_0_, 0), {}
2022-11-23T01:32:38.1297518Z call_method, all_1, all, (gt_1, -1), {}
2022-11-23T01:32:38.1297663Z call_method, argmin, argmin, (ex_0_, -1), {}
2022-11-23T01:32:38.1297803Z call_method, argmax, argmax, (ex_0_, -1), {}
2022-11-23T01:32:38.1297933Z call_method, amin, amin, (ex_0_, -1), {}
2022-11-23T01:32:38.1298064Z call_method, amax, amax, (ex_0_, -1), {}
2022-11-23T01:32:38.1298245Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, sum_1, any_1, all_1, argmin, argmax, amin, amax),), {}
2022-11-23T01:32:38.1298251Z 
2022-11-23T01:32:38.1298521Z [2022-11-23 01:28:48,866] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1298617Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1298706Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1298797Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.1298886Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.1298961Z               8 RETURN_VALUE
2022-11-23T01:32:38.1298967Z 
2022-11-23T01:32:38.1299028Z  
2022-11-23T01:32:38.1299303Z [2022-11-23 01:28:48,866] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1299400Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_409)
2022-11-23T01:32:38.1299487Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1299576Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1299650Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.1299740Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.1299848Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.1299948Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1300023Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1300097Z              16 BINARY_SUBSCR
2022-11-23T01:32:38.1300197Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1300284Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:38.1300362Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.1300463Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1300550Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:38.1300612Z              28 BINARY_SUBSCR
2022-11-23T01:32:38.1300711Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1300800Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:38.1300874Z              34 BINARY_SUBSCR
2022-11-23T01:32:38.1301007Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1301097Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:38.1301172Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.1301257Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1301342Z              44 LOAD_CONST               6 (5)
2022-11-23T01:32:38.1301416Z              46 BINARY_SUBSCR
2022-11-23T01:32:38.1301513Z              48 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1301661Z              50 LOAD_CONST               7 (6)
2022-11-23T01:32:38.1301736Z              52 BINARY_SUBSCR
2022-11-23T01:32:38.1301833Z              54 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1301919Z              56 LOAD_CONST               8 (7)
2022-11-23T01:32:38.1301981Z              58 BINARY_SUBSCR
2022-11-23T01:32:38.1302078Z              60 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1302163Z              62 LOAD_CONST               9 (8)
2022-11-23T01:32:38.1302240Z              64 BINARY_SUBSCR
2022-11-23T01:32:38.1302338Z              66 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1302424Z              68 LOAD_CONST              10 (9)
2022-11-23T01:32:38.1302498Z              70 BINARY_SUBSCR
2022-11-23T01:32:38.1302582Z              72 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1302669Z              74 LOAD_CONST              11 (10)
2022-11-23T01:32:38.1302748Z              76 BINARY_SUBSCR
2022-11-23T01:32:38.1302836Z              78 BUILD_TUPLE             11
2022-11-23T01:32:38.1302913Z              80 RETURN_VALUE
2022-11-23T01:32:38.1302918Z 
2022-11-23T01:32:38.1302979Z  
2022-11-23T01:32:38.1303165Z [2022-11-23 01:28:48,867] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.1303221Z  - 
2022-11-23T01:32:38.1303339Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.1303404Z             {
2022-11-23T01:32:38.1303543Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.1303731Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.1303850Z                 'obj_weakref': None
2022-11-23T01:32:38.1304074Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.1304126Z             }
2022-11-23T01:32:38.1304187Z             
2022-11-23T01:32:38.1304257Z  - 
2022-11-23T01:32:38.1304382Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.1304514Z             {
2022-11-23T01:32:38.1304665Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1304772Z                 'code': None,
2022-11-23T01:32:38.1304970Z                 'obj_weakref': <weakref at 0x7f70f2d6c1d0; to 'Tensor' at 0x7f71072347d0>
2022-11-23T01:32:38.1305219Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1305282Z             }
2022-11-23T01:32:38.1305346Z             
2022-11-23T01:32:38.1305416Z  - 
2022-11-23T01:32:38.1305549Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.1305611Z             {
2022-11-23T01:32:38.1305732Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.1305901Z                 'code': ['___check_obj_id(model, 140123416378976)'],
2022-11-23T01:32:38.1306022Z                 'obj_weakref': None
2022-11-23T01:32:38.1306253Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.1306320Z             }
2022-11-23T01:32:38.1306383Z             
2022-11-23T01:32:38.1306451Z  - 
2022-11-23T01:32:38.1306560Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.1306623Z             {
2022-11-23T01:32:38.1306759Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.1306974Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.1307091Z                 'obj_weakref': None
2022-11-23T01:32:38.1307347Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.1307412Z             }
2022-11-23T01:32:38.1307462Z             
2022-11-23T01:32:38.1307724Z [2022-11-23 01:28:48,893] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 401
2022-11-23T01:32:38.1307730Z 
2022-11-23T01:32:38.1307826Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.1307897Z import torch
2022-11-23T01:32:38.1307996Z import random
2022-11-23T01:32:38.1308113Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.1308237Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.1308242Z 
2022-11-23T01:32:38.1308320Z aten = torch.ops.aten
2022-11-23T01:32:38.1308443Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.1308536Z async_compile = AsyncCompile()
2022-11-23T01:32:38.1308542Z 
2022-11-23T01:32:38.1308546Z 
2022-11-23T01:32:38.1308685Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.1308895Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.1309015Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.1309116Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.1309214Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:38.1309315Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:38.1309397Z                        long* __restrict__ out_ptr3,
2022-11-23T01:32:38.1309492Z                        float* __restrict__ out_ptr4,
2022-11-23T01:32:38.1309585Z                        bool* __restrict__ out_ptr5,
2022-11-23T01:32:38.1309677Z                        bool* __restrict__ out_ptr6,
2022-11-23T01:32:38.1309769Z                        long* __restrict__ out_ptr7,
2022-11-23T01:32:38.1309860Z                        long* __restrict__ out_ptr8,
2022-11-23T01:32:38.1309955Z                        float* __restrict__ out_ptr9,
2022-11-23T01:32:38.1310044Z                        float* __restrict__ out_ptr10)
2022-11-23T01:32:38.1310106Z {
2022-11-23T01:32:38.1310205Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.1310268Z     {
2022-11-23T01:32:38.1310347Z         #pragma omp for 
2022-11-23T01:32:38.1310431Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.1310494Z         {
2022-11-23T01:32:38.1310544Z             {
2022-11-23T01:32:38.1310609Z                 {
2022-11-23T01:32:38.1310705Z                     auto tmp0 = in_ptr0[3*i0];
2022-11-23T01:32:38.1310803Z                     auto tmp1 = in_ptr0[1 + (3*i0)];
2022-11-23T01:32:38.1310897Z                     auto tmp3 = in_ptr0[2 + (3*i0)];
2022-11-23T01:32:38.1311017Z                     auto tmp2 = std::min(tmp0, tmp1);
2022-11-23T01:32:38.1311119Z                     auto tmp4 = std::min(tmp2, tmp3);
2022-11-23T01:32:38.1311205Z                     auto tmp5 = static_cast<long>(0);
2022-11-23T01:32:38.1311301Z                     auto tmp6 = static_cast<long>(1);
2022-11-23T01:32:38.1311396Z                     auto tmp7 = tmp1 < tmp0;
2022-11-23T01:32:38.1311492Z                     auto tmp8 = tmp7 ? tmp6 : tmp5;
2022-11-23T01:32:38.1311592Z                     auto tmp9 = static_cast<long>(2);
2022-11-23T01:32:38.1311684Z                     auto tmp10 = tmp3 < tmp2;
2022-11-23T01:32:38.1311782Z                     auto tmp11 = tmp10 ? tmp9 : tmp8;
2022-11-23T01:32:38.1311872Z                     auto tmp12 = std::max(tmp0, tmp1);
2022-11-23T01:32:38.1311979Z                     auto tmp13 = std::max(tmp12, tmp3);
2022-11-23T01:32:38.1312071Z                     auto tmp14 = tmp1 > tmp0;
2022-11-23T01:32:38.1312167Z                     auto tmp15 = tmp14 ? tmp6 : tmp5;
2022-11-23T01:32:38.1312259Z                     auto tmp16 = tmp3 > tmp12;
2022-11-23T01:32:38.1312359Z                     auto tmp17 = tmp16 ? tmp9 : tmp15;
2022-11-23T01:32:38.1312447Z                     auto tmp18 = tmp0 + tmp1;
2022-11-23T01:32:38.1312541Z                     auto tmp19 = tmp18 + tmp3;
2022-11-23T01:32:38.1312660Z                     auto tmp20 = static_cast<float>(1);
2022-11-23T01:32:38.1312751Z                     auto tmp21 = tmp0 > tmp20;
2022-11-23T01:32:38.1312860Z                     auto tmp22 = static_cast<long>(tmp21);
2022-11-23T01:32:38.1312965Z                     auto tmp23 = static_cast<bool>(tmp22);
2022-11-23T01:32:38.1313054Z                     auto tmp24 = tmp1 > tmp20;
2022-11-23T01:32:38.1313188Z                     auto tmp25 = static_cast<long>(tmp24);
2022-11-23T01:32:38.1313295Z                     auto tmp26 = static_cast<bool>(tmp25);
2022-11-23T01:32:38.1313376Z                     auto tmp27 = tmp23 || tmp26;
2022-11-23T01:32:38.1313466Z                     auto tmp28 = tmp3 > tmp20;
2022-11-23T01:32:38.1313569Z                     auto tmp29 = static_cast<long>(tmp28);
2022-11-23T01:32:38.1319130Z                     auto tmp30 = static_cast<bool>(tmp29);
2022-11-23T01:32:38.1319259Z                     auto tmp31 = tmp27 || tmp30;
2022-11-23T01:32:38.1319370Z                     auto tmp32 = static_cast<float>(0);
2022-11-23T01:32:38.1319464Z                     auto tmp33 = tmp0 > tmp32;
2022-11-23T01:32:38.1319542Z                     auto tmp34 = tmp33 == 0;
2022-11-23T01:32:38.1319648Z                     auto tmp35 = static_cast<long>(tmp34);
2022-11-23T01:32:38.1319752Z                     auto tmp36 = static_cast<bool>(tmp35);
2022-11-23T01:32:38.1319843Z                     auto tmp37 = tmp1 > tmp32;
2022-11-23T01:32:38.1319935Z                     auto tmp38 = tmp37 == 0;
2022-11-23T01:32:38.1320041Z                     auto tmp39 = static_cast<long>(tmp38);
2022-11-23T01:32:38.1320145Z                     auto tmp40 = static_cast<bool>(tmp39);
2022-11-23T01:32:38.1320240Z                     auto tmp41 = tmp36 || tmp40;
2022-11-23T01:32:38.1320318Z                     auto tmp42 = tmp3 > tmp32;
2022-11-23T01:32:38.1320407Z                     auto tmp43 = tmp42 == 0;
2022-11-23T01:32:38.1320512Z                     auto tmp44 = static_cast<long>(tmp43);
2022-11-23T01:32:38.1320618Z                     auto tmp45 = static_cast<bool>(tmp44);
2022-11-23T01:32:38.1320709Z                     auto tmp46 = tmp41 || tmp45;
2022-11-23T01:32:38.1320798Z                     auto tmp47 = tmp46 == 0;
2022-11-23T01:32:38.1320885Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:32:38.1320959Z                     out_ptr1[i0] = tmp11;
2022-11-23T01:32:38.1321041Z                     out_ptr2[i0] = tmp13;
2022-11-23T01:32:38.1321125Z                     out_ptr3[i0] = tmp17;
2022-11-23T01:32:38.1321206Z                     out_ptr4[i0] = tmp19;
2022-11-23T01:32:38.1321286Z                     out_ptr5[i0] = tmp31;
2022-11-23T01:32:38.1321370Z                     out_ptr6[i0] = tmp47;
2022-11-23T01:32:38.1321452Z                     out_ptr7[i0] = tmp11;
2022-11-23T01:32:38.1321520Z                     out_ptr8[i0] = tmp17;
2022-11-23T01:32:38.1321602Z                     out_ptr9[i0] = tmp4;
2022-11-23T01:32:38.1321687Z                     out_ptr10[i0] = tmp13;
2022-11-23T01:32:38.1321758Z                 }
2022-11-23T01:32:38.1321823Z             }
2022-11-23T01:32:38.1321885Z         }
2022-11-23T01:32:38.1321945Z     }
2022-11-23T01:32:38.1321993Z }
2022-11-23T01:32:38.1322103Z ''')
2022-11-23T01:32:38.1322110Z 
2022-11-23T01:32:38.1322114Z 
2022-11-23T01:32:38.1322205Z async_compile.wait(globals())
2022-11-23T01:32:38.1322277Z del async_compile
2022-11-23T01:32:38.1322282Z 
2022-11-23T01:32:38.1322353Z def call(args):
2022-11-23T01:32:38.1322424Z     arg0_1, = args
2022-11-23T01:32:38.1322496Z     args.clear()
2022-11-23T01:32:38.1322681Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1322870Z     buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:38.1323059Z     buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1323244Z     buf3 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:38.1323531Z     buf4 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1323712Z     buf5 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:38.1323891Z     buf6 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:38.1324075Z     buf7 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:38.1324246Z     buf8 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:38.1324472Z     buf9 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1324665Z     buf10 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1325039Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr()))
2022-11-23T01:32:38.1325110Z     del arg0_1
2022-11-23T01:32:38.1325240Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, buf9, buf10, )
2022-11-23T01:32:38.1325246Z 
2022-11-23T01:32:38.1325250Z 
2022-11-23T01:32:38.1325325Z if __name__ == "__main__":
2022-11-23T01:32:38.1325439Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.1325567Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.1325751Z     arg0_1 = rand_strided((8, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1325857Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.1325862Z 
2022-11-23T01:32:38.1325867Z 
2022-11-23T01:32:38.1325960Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.1326029Z import torch
2022-11-23T01:32:38.1326099Z import random
2022-11-23T01:32:38.1326213Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.1326334Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.1326341Z 
2022-11-23T01:32:38.1326420Z aten = torch.ops.aten
2022-11-23T01:32:38.1326541Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.1326632Z async_compile = AsyncCompile()
2022-11-23T01:32:38.1326637Z 
2022-11-23T01:32:38.1326641Z 
2022-11-23T01:32:38.1326774Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.1326978Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.1327095Z extern "C" void kernel(bool* __restrict__ in_out_ptr0,
2022-11-23T01:32:38.1327201Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.1327300Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.1327395Z                        long* __restrict__ out_ptr1,
2022-11-23T01:32:38.1327480Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:38.1327571Z                        long* __restrict__ out_ptr3,
2022-11-23T01:32:38.1327665Z                        float* __restrict__ out_ptr4,
2022-11-23T01:32:38.1327758Z                        bool* __restrict__ out_ptr5,
2022-11-23T01:32:38.1327849Z                        long* __restrict__ out_ptr7,
2022-11-23T01:32:38.1327938Z                        long* __restrict__ out_ptr8,
2022-11-23T01:32:38.1328031Z                        float* __restrict__ out_ptr9,
2022-11-23T01:32:38.1328117Z                        float* __restrict__ out_ptr10)
2022-11-23T01:32:38.1328178Z {
2022-11-23T01:32:38.1328265Z     auto out_ptr6 = in_out_ptr0;
2022-11-23T01:32:38.1328362Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.1328426Z     {
2022-11-23T01:32:38.1328501Z         #pragma omp for 
2022-11-23T01:32:38.1328581Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.1328632Z         {
2022-11-23T01:32:38.1328693Z             {
2022-11-23T01:32:38.1328756Z                 {
2022-11-23T01:32:38.1328890Z                     float tmp1 = std::numeric_limits<float>::infinity();
2022-11-23T01:32:38.1329046Z                     struct IndexValue_11 {size_t index; float value;};
2022-11-23T01:32:38.1329187Z                     IndexValue_11 tmp2{0, std::numeric_limits<float>::infinity()};
2022-11-23T01:32:38.1329324Z                     #pragma omp declare reduction(argmin : struct IndexValue_11 :\
2022-11-23T01:32:38.1329464Z                         omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:38.1329638Z                         omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:38.1329783Z                     	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T01:32:38.1330023Z                     float tmp3 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:38.1330147Z                     struct IndexValue_12 {size_t index; float value;};
2022-11-23T01:32:38.1330378Z                     IndexValue_12 tmp4{0, -std::numeric_limits<float>::infinity()};
2022-11-23T01:32:38.1330520Z                     #pragma omp declare reduction(argmax : struct IndexValue_12 :\
2022-11-23T01:32:38.1330670Z                         omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:38.1330814Z                         omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:38.1331040Z                     	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T01:32:38.1331123Z                     float tmp5 = 0;
2022-11-23T01:32:38.1331201Z                     bool tmp10 = 0;
2022-11-23T01:32:38.1331277Z                     bool tmp16 = 0;
2022-11-23T01:32:38.1331402Z                     struct IndexValue_13 {size_t index; float value;};
2022-11-23T01:32:38.1331539Z                     IndexValue_13 tmp17{0, std::numeric_limits<float>::infinity()};
2022-11-23T01:32:38.1331679Z                     #pragma omp declare reduction(argmin : struct IndexValue_13 :\
2022-11-23T01:32:38.1331828Z                         omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:38.1331962Z                         omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:38.1332104Z                     	initializer(omp_priv = {0, std::numeric_limits<float>::infinity()})
2022-11-23T01:32:38.1332223Z                     struct IndexValue_14 {size_t index; float value;};
2022-11-23T01:32:38.1332456Z                     IndexValue_14 tmp18{0, -std::numeric_limits<float>::infinity()};
2022-11-23T01:32:38.1332595Z                     #pragma omp declare reduction(argmax : struct IndexValue_14 :\
2022-11-23T01:32:38.1332740Z                         omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\
2022-11-23T01:32:38.1332883Z                         omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\
2022-11-23T01:32:38.1333118Z                     	initializer(omp_priv = {0, -std::numeric_limits<float>::infinity()})
2022-11-23T01:32:38.1333246Z                     float tmp19 = std::numeric_limits<float>::infinity();
2022-11-23T01:32:38.1333443Z                     float tmp20 = -std::numeric_limits<float>::infinity();
2022-11-23T01:32:38.1333538Z                     for(long i1=0; i1<3; i1+=1)
2022-11-23T01:32:38.1333604Z                     {
2022-11-23T01:32:38.1333671Z                         {
2022-11-23T01:32:38.1333774Z                             auto tmp0 = in_ptr0[i1 + (3*i0)];
2022-11-23T01:32:38.1333884Z                             auto tmp6 = static_cast<float>(1);
2022-11-23T01:32:38.1333980Z                             auto tmp7 = tmp0 > tmp6;
2022-11-23T01:32:38.1334089Z                             auto tmp8 = static_cast<long>(tmp7);
2022-11-23T01:32:38.1334185Z                             auto tmp9 = static_cast<bool>(tmp8);
2022-11-23T01:32:38.1334291Z                             auto tmp11 = static_cast<float>(0);
2022-11-23T01:32:38.1334388Z                             auto tmp12 = tmp0 > tmp11;
2022-11-23T01:32:38.1334514Z                             auto tmp13 = tmp12 == 0;
2022-11-23T01:32:38.1334625Z                             auto tmp14 = static_cast<long>(tmp13);
2022-11-23T01:32:38.1334731Z                             auto tmp15 = static_cast<bool>(tmp14);
2022-11-23T01:32:38.1334834Z                             tmp1 = std::min(tmp1, tmp0);
2022-11-23T01:32:38.1334918Z                             if (tmp2.value > tmp0) {
2022-11-23T01:32:38.1335071Z                                 tmp2.index = i1; tmp2.value = tmp0;
2022-11-23T01:32:38.1335143Z                             }
2022-11-23T01:32:38.1335244Z                             tmp3 = std::max(tmp3, tmp0);
2022-11-23T01:32:38.1335340Z                             if (tmp4.value < tmp0) {
2022-11-23T01:32:38.1335449Z                                 tmp4.index = i1; tmp4.value = tmp0;
2022-11-23T01:32:38.1335519Z                             }
2022-11-23T01:32:38.1335601Z                             tmp5 += tmp0;
2022-11-23T01:32:38.1335682Z                             tmp10 = tmp10 || tmp9;
2022-11-23T01:32:38.1335772Z                             tmp16 = tmp16 || tmp15;
2022-11-23T01:32:38.1335866Z                             if (tmp17.value > tmp0) {
2022-11-23T01:32:38.1335977Z                                 tmp17.index = i1; tmp17.value = tmp0;
2022-11-23T01:32:38.1336047Z                             }
2022-11-23T01:32:38.1336142Z                             if (tmp18.value < tmp0) {
2022-11-23T01:32:38.1336255Z                                 tmp18.index = i1; tmp18.value = tmp0;
2022-11-23T01:32:38.1336311Z                             }
2022-11-23T01:32:38.1336416Z                             tmp19 = std::min(tmp19, tmp0);
2022-11-23T01:32:38.1336519Z                             tmp20 = std::max(tmp20, tmp0);
2022-11-23T01:32:38.1336588Z                         }
2022-11-23T01:32:38.1336659Z                     }
2022-11-23T01:32:38.1336749Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:32:38.1336845Z                     out_ptr1[i0] = tmp2.index;
2022-11-23T01:32:38.1336916Z                     out_ptr2[i0] = tmp3;
2022-11-23T01:32:38.1337005Z                     out_ptr3[i0] = tmp4.index;
2022-11-23T01:32:38.1337085Z                     out_ptr4[i0] = tmp5;
2022-11-23T01:32:38.1337169Z                     out_ptr5[i0] = tmp10;
2022-11-23T01:32:38.1337252Z                     out_ptr6[i0] = tmp16;
2022-11-23T01:32:38.1337346Z                     out_ptr7[i0] = tmp17.index;
2022-11-23T01:32:38.1337442Z                     out_ptr8[i0] = tmp18.index;
2022-11-23T01:32:38.1337511Z                     out_ptr9[i0] = tmp19;
2022-11-23T01:32:38.1337595Z                     out_ptr10[i0] = tmp20;
2022-11-23T01:32:38.1337659Z                 }
2022-11-23T01:32:38.1337721Z             }
2022-11-23T01:32:38.1337784Z         }
2022-11-23T01:32:38.1337860Z         #pragma omp for 
2022-11-23T01:32:38.1337941Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.1337992Z         {
2022-11-23T01:32:38.1338054Z             {
2022-11-23T01:32:38.1338120Z                 {
2022-11-23T01:32:38.1338212Z                     auto tmp0 = out_ptr6[i0];
2022-11-23T01:32:38.1338299Z                     auto tmp1 = tmp0 == 0;
2022-11-23T01:32:38.1338388Z                     in_out_ptr0[i0] = tmp1;
2022-11-23T01:32:38.1338450Z                 }
2022-11-23T01:32:38.1338501Z             }
2022-11-23T01:32:38.1338563Z         }
2022-11-23T01:32:38.1338624Z     }
2022-11-23T01:32:38.1338683Z }
2022-11-23T01:32:38.1338762Z ''')
2022-11-23T01:32:38.1338770Z 
2022-11-23T01:32:38.1338775Z 
2022-11-23T01:32:38.1338864Z async_compile.wait(globals())
2022-11-23T01:32:38.1338934Z del async_compile
2022-11-23T01:32:38.1338940Z 
2022-11-23T01:32:38.1338997Z def call(args):
2022-11-23T01:32:38.1339065Z     arg0_1, = args
2022-11-23T01:32:38.1339135Z     args.clear()
2022-11-23T01:32:38.1339329Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1339517Z     buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:38.1339736Z     buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1339921Z     buf3 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:38.1340092Z     buf4 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1340273Z     buf5 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:38.1340482Z     buf6 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:38.1340664Z     buf7 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:38.1340843Z     buf8 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:38.1341028Z     buf9 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1341214Z     buf10 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1341299Z     buf11 = buf6; del buf6  # reuse
2022-11-23T01:32:38.1341664Z     kernel_cpp_0(c_void_p(buf11.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr()))
2022-11-23T01:32:38.1341735Z     del arg0_1
2022-11-23T01:32:38.1341864Z     return (buf0, buf1, buf2, buf3, buf4, buf5, buf11, buf7, buf8, buf9, buf10, )
2022-11-23T01:32:38.1341871Z 
2022-11-23T01:32:38.1341876Z 
2022-11-23T01:32:38.1341952Z if __name__ == "__main__":
2022-11-23T01:32:38.1342066Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.1342187Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.1342382Z     arg0_1 = rand_strided((8, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1342487Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.1342858Z [2022-11-23 01:28:51,562] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cr/ccr4dw7rsdfbivelby7llainuq7gisadqdx3wb52ynue56px7xrm.py
2022-11-23T01:32:38.1343117Z [2022-11-23 01:28:51,562] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 401
2022-11-23T01:32:38.1343135Z 
2022-11-23T01:32:38.1343189Z ok (5.573s)
2022-11-23T01:32:38.1343326Z   test_unspec_inputs_cpu (__main__.CpuTests) ... skip: requires cuda (0.002s)
2022-11-23T01:32:38.1343634Z   test_unsqueeze_cpu (__main__.CpuTests) ... [2022-11-23 01:28:51,583] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.1343900Z [2022-11-23 01:28:51,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.1344117Z [2022-11-23 01:28:51,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.1344372Z [2022-11-23 01:28:51,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.1344752Z [2022-11-23 01:28:51,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.1345078Z [2022-11-23 01:28:51,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.1345411Z [2022-11-23 01:28:51,585] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f647be40, file "inductor/test_torchinductor.py", line 1293> 
2022-11-23T01:32:38.1345495Z  1295           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.1345598Z                2 LOAD_METHOD              1 (unsqueeze)
2022-11-23T01:32:38.1345691Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1345785Z                6 LOAD_CONST               1 (1)
2022-11-23T01:32:38.1345863Z                8 BINARY_ADD
2022-11-23T01:32:38.1346001Z               10 LOAD_CONST               2 (-1)
2022-11-23T01:32:38.1346092Z               12 CALL_METHOD              2
2022-11-23T01:32:38.1346204Z               14 LOAD_CONST               3 (2)
2022-11-23T01:32:38.1346277Z               16 BINARY_ADD
2022-11-23T01:32:38.1346283Z 
2022-11-23T01:32:38.1346379Z 1296          18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.1346479Z               20 LOAD_METHOD              1 (unsqueeze)
2022-11-23T01:32:38.1346569Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1346683Z               24 LOAD_CONST               3 (2)
2022-11-23T01:32:38.1346773Z               26 CALL_METHOD              2
2022-11-23T01:32:38.1346861Z               28 LOAD_CONST               3 (2)
2022-11-23T01:32:38.1346920Z               30 BINARY_ADD
2022-11-23T01:32:38.1346924Z 
2022-11-23T01:32:38.1347019Z 1297          32 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.1347118Z               34 LOAD_METHOD              1 (unsqueeze)
2022-11-23T01:32:38.1347207Z               36 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1347296Z               38 LOAD_CONST               1 (1)
2022-11-23T01:32:38.1347369Z               40 BINARY_ADD
2022-11-23T01:32:38.1347455Z               42 LOAD_CONST               4 (0)
2022-11-23T01:32:38.1347529Z               44 CALL_METHOD              2
2022-11-23T01:32:38.1347616Z               46 LOAD_CONST               3 (2)
2022-11-23T01:32:38.1347689Z               48 BINARY_ADD
2022-11-23T01:32:38.1347694Z 
2022-11-23T01:32:38.1347788Z 1298          50 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.1347890Z               52 LOAD_METHOD              1 (unsqueeze)
2022-11-23T01:32:38.1347979Z               54 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1348116Z               56 LOAD_CONST               5 (-2)
2022-11-23T01:32:38.1348191Z               58 CALL_METHOD              2
2022-11-23T01:32:38.1348278Z               60 LOAD_CONST               3 (2)
2022-11-23T01:32:38.1348350Z               62 BINARY_ADD
2022-11-23T01:32:38.1348438Z               64 BUILD_TUPLE              4
2022-11-23T01:32:38.1348518Z               66 RETURN_VALUE
2022-11-23T01:32:38.1348583Z  
2022-11-23T01:32:38.1348589Z 
2022-11-23T01:32:38.1348859Z [2022-11-23 01:28:51,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1295
2022-11-23T01:32:38.1349079Z [2022-11-23 01:28:51,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.1349444Z [2022-11-23 01:28:51,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.1349776Z [2022-11-23 01:28:51,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(<built-in method unsqueeze of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.1350132Z [2022-11-23 01:28:51,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(<built-in method unsqueeze of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.1350532Z [2022-11-23 01:28:51,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(<built-in method unsqueeze of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1350888Z [2022-11-23 01:28:51,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method unsqueeze of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.1351289Z [2022-11-23 01:28:51,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method unsqueeze of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1351527Z [2022-11-23 01:28:51,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:38.1351807Z [2022-11-23 01:28:51,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1352074Z [2022-11-23 01:28:51,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1296
2022-11-23T01:32:38.1352351Z [2022-11-23 01:28:51,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:38.1352751Z [2022-11-23 01:28:51,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.1353132Z [2022-11-23 01:28:51,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.1353515Z [2022-11-23 01:28:51,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.1353929Z [2022-11-23 01:28:51,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1354195Z [2022-11-23 01:28:51,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1354502Z [2022-11-23 01:28:51,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1354770Z [2022-11-23 01:28:51,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1297
2022-11-23T01:32:38.1355043Z [2022-11-23 01:28:51,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1355471Z [2022-11-23 01:28:51,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.1355856Z [2022-11-23 01:28:51,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.1356270Z [2022-11-23 01:28:51,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.1356727Z [2022-11-23 01:28:51,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1357272Z [2022-11-23 01:28:51,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.1357731Z [2022-11-23 01:28:51,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1358025Z [2022-11-23 01:28:51,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1358363Z [2022-11-23 01:28:51,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1358617Z [2022-11-23 01:28:51,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1298
2022-11-23T01:32:38.1358920Z [2022-11-23 01:28:51,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1359375Z [2022-11-23 01:28:51,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.1359838Z [2022-11-23 01:28:51,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.1360315Z [2022-11-23 01:28:51,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.1360806Z [2022-11-23 01:28:51,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method unsqueeze of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1361125Z [2022-11-23 01:28:51,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1361491Z [2022-11-23 01:28:51,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1361817Z [2022-11-23 01:28:51,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1362060Z [2022-11-23 01:28:51,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1362390Z [2022-11-23 01:28:51,614] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f647be40, file "inductor/test_torchinductor.py", line 1293>
2022-11-23T01:32:38.1362635Z [2022-11-23 01:28:51,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1362869Z [2022-11-23 01:28:51,614] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.1363110Z [2022-11-23 01:28:51,617] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.1363362Z [2022-11-23 01:28:51,634] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.1363547Z [2022-11-23 01:28:51,635] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.1363682Z  __compiled_fn_410 <eval_with_key>.2534 opcode, name, target, args, kwargs
2022-11-23T01:32:38.1363771Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.1363946Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:38.1364192Z call_function, unsqueeze, <built-in method unsqueeze of type object at 0x7f71f2abebc0>, (add, -1), {}
2022-11-23T01:32:38.1364373Z call_function, add_1, <built-in function add>, (unsqueeze, 2), {}
2022-11-23T01:32:38.1364610Z call_function, unsqueeze_1, <built-in method unsqueeze of type object at 0x7f71f2abebc0>, (ex_0_, 2), {}
2022-11-23T01:32:38.1364797Z call_function, add_2, <built-in function add>, (unsqueeze_1, 2), {}
2022-11-23T01:32:38.1364966Z call_function, add_3, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:38.1365213Z call_function, unsqueeze_2, <built-in method unsqueeze of type object at 0x7f71f2abebc0>, (add_3, 0), {}
2022-11-23T01:32:38.1365397Z call_function, add_4, <built-in function add>, (unsqueeze_2, 2), {}
2022-11-23T01:32:38.1365644Z call_function, unsqueeze_3, <built-in method unsqueeze of type object at 0x7f71f2abebc0>, (ex_0_, -2), {}
2022-11-23T01:32:38.1365827Z call_function, add_5, <built-in function add>, (unsqueeze_3, 2), {}
2022-11-23T01:32:38.1365945Z output, output, output, ((add_1, add_2, add_4, add_5),), {}
2022-11-23T01:32:38.1365951Z 
2022-11-23T01:32:38.1366230Z [2022-11-23 01:28:51,635] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1366343Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1366432Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1366524Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.1366613Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.1366689Z               8 RETURN_VALUE
2022-11-23T01:32:38.1366694Z 
2022-11-23T01:32:38.1366756Z  
2022-11-23T01:32:38.1367057Z [2022-11-23 01:28:51,636] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1367154Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_410)
2022-11-23T01:32:38.1367242Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1367332Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1367408Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.1367497Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.1367600Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.1367704Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1367791Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1367855Z              16 BINARY_SUBSCR
2022-11-23T01:32:38.1367954Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1368042Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:38.1368117Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.1368217Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1368305Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:38.1368379Z              28 BINARY_SUBSCR
2022-11-23T01:32:38.1368466Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1368551Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:38.1368626Z              34 BINARY_SUBSCR
2022-11-23T01:32:38.1368714Z              36 BUILD_TUPLE              4
2022-11-23T01:32:38.1368788Z              38 RETURN_VALUE
2022-11-23T01:32:38.1368795Z 
2022-11-23T01:32:38.1368854Z  
2022-11-23T01:32:38.1369034Z [2022-11-23 01:28:51,637] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.1369091Z  - 
2022-11-23T01:32:38.1369208Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.1369272Z             {
2022-11-23T01:32:38.1369411Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.1369597Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.1369719Z                 'obj_weakref': None
2022-11-23T01:32:38.1369941Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.1369994Z             }
2022-11-23T01:32:38.1370056Z             
2022-11-23T01:32:38.1370126Z  - 
2022-11-23T01:32:38.1370248Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.1370311Z             {
2022-11-23T01:32:38.1370452Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1370559Z                 'code': None,
2022-11-23T01:32:38.1370756Z                 'obj_weakref': <weakref at 0x7f7106da8050; to 'Tensor' at 0x7f70f2dbdfb0>
2022-11-23T01:32:38.1371003Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1371068Z             }
2022-11-23T01:32:38.1371130Z             
2022-11-23T01:32:38.1371199Z  - 
2022-11-23T01:32:38.1371328Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.1371392Z             {
2022-11-23T01:32:38.1371512Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.1371679Z                 'code': ['___check_obj_id(model, 140123394889056)'],
2022-11-23T01:32:38.1371796Z                 'obj_weakref': None
2022-11-23T01:32:38.1372022Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.1372088Z             }
2022-11-23T01:32:38.1372150Z             
2022-11-23T01:32:38.1372220Z  - 
2022-11-23T01:32:38.1372357Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.1372420Z             {
2022-11-23T01:32:38.1372552Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.1372763Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.1372879Z                 'obj_weakref': None
2022-11-23T01:32:38.1373093Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.1373189Z             }
2022-11-23T01:32:38.1373240Z             
2022-11-23T01:32:38.1373308Z  - 
2022-11-23T01:32:38.1373442Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.1373504Z             {
2022-11-23T01:32:38.1373622Z                 'guard_types': None,
2022-11-23T01:32:38.1373728Z                 'code': None,
2022-11-23T01:32:38.1373843Z                 'obj_weakref': None
2022-11-23T01:32:38.1373950Z                 'guarded_class': None
2022-11-23T01:32:38.1374012Z             }
2022-11-23T01:32:38.1374075Z             
2022-11-23T01:32:38.1374335Z [2022-11-23 01:28:51,665] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 402
2022-11-23T01:32:38.1374705Z [2022-11-23 01:28:54,274] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4r/c4rpplj3jbrqrwmjjr67g2imhxq2srqokq6yic2u5ruzzxre4dxr.py
2022-11-23T01:32:38.1374971Z [2022-11-23 01:28:54,274] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 402
2022-11-23T01:32:38.1374976Z 
2022-11-23T01:32:38.1375070Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.1375139Z import torch
2022-11-23T01:32:38.1375195Z import random
2022-11-23T01:32:38.1375309Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.1375429Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.1375434Z 
2022-11-23T01:32:38.1375513Z aten = torch.ops.aten
2022-11-23T01:32:38.1375648Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.1375743Z async_compile = AsyncCompile()
2022-11-23T01:32:38.1375748Z 
2022-11-23T01:32:38.1375752Z 
2022-11-23T01:32:38.1375885Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.1376089Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.1376195Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.1376295Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.1376394Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:38.1376487Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:38.1376580Z                        float* __restrict__ out_ptr3)
2022-11-23T01:32:38.1376640Z {
2022-11-23T01:32:38.1376737Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.1376787Z     {
2022-11-23T01:32:38.1376865Z         #pragma omp for 
2022-11-23T01:32:38.1376945Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:38.1377007Z         {
2022-11-23T01:32:38.1377149Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.1377283Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:38.1377368Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.1377486Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:38.1377569Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.1377651Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T01:32:38.1377743Z             tmp4.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.1377830Z             tmp5.store(out_ptr1 + 16*i0);
2022-11-23T01:32:38.1377918Z             tmp4.store(out_ptr2 + 16*i0);
2022-11-23T01:32:38.1378004Z             tmp5.store(out_ptr3 + 16*i0);
2022-11-23T01:32:38.1378054Z         }
2022-11-23T01:32:38.1378147Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.1378229Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:38.1378289Z         {
2022-11-23T01:32:38.1378402Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.1378500Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:38.1378584Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.1378669Z             auto tmp3 = static_cast<float>(2);
2022-11-23T01:32:38.1378751Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.1378832Z             auto tmp5 = tmp0 + tmp3;
2022-11-23T01:32:38.1378911Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:38.1379028Z             out_ptr1[i0] = tmp5;
2022-11-23T01:32:38.1379105Z             out_ptr2[i0] = tmp4;
2022-11-23T01:32:38.1379180Z             out_ptr3[i0] = tmp5;
2022-11-23T01:32:38.1379230Z         }
2022-11-23T01:32:38.1379290Z     }
2022-11-23T01:32:38.1379350Z }
2022-11-23T01:32:38.1379429Z ''')
2022-11-23T01:32:38.1379434Z 
2022-11-23T01:32:38.1379439Z 
2022-11-23T01:32:38.1379527Z async_compile.wait(globals())
2022-11-23T01:32:38.1379598Z del async_compile
2022-11-23T01:32:38.1379603Z 
2022-11-23T01:32:38.1379673Z def call(args):
2022-11-23T01:32:38.1379733Z     arg0_1, = args
2022-11-23T01:32:38.1379802Z     args.clear()
2022-11-23T01:32:38.1380021Z     buf0 = empty_strided((2, 2, 2, 2, 1), (8, 4, 2, 1, 16), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1380234Z     buf1 = empty_strided((2, 2, 1, 2, 2), (8, 4, 16, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1380446Z     buf2 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1380661Z     buf3 = empty_strided((2, 2, 2, 1, 2), (8, 4, 2, 16, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1380876Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:38.1380946Z     del arg0_1
2022-11-23T01:32:38.1381022Z     return (buf0, buf1, buf2, buf3, )
2022-11-23T01:32:38.1381043Z 
2022-11-23T01:32:38.1381047Z 
2022-11-23T01:32:38.1381110Z if __name__ == "__main__":
2022-11-23T01:32:38.1381226Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.1381348Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.1381554Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1381663Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.1381668Z 
2022-11-23T01:32:38.1381735Z ok (2.707s)
2022-11-23T01:32:38.1382062Z   test_unsqueeze_inplace_cpu (__main__.CpuTests) ... [2022-11-23 01:28:54,291] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.1382332Z [2022-11-23 01:28:54,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.1382536Z [2022-11-23 01:28:54,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.1382787Z [2022-11-23 01:28:54,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.1383074Z [2022-11-23 01:28:54,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.1383394Z [2022-11-23 01:28:54,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.1383725Z [2022-11-23 01:28:54,292] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f647bf60, file "inductor/test_torchinductor.py", line 1314> 
2022-11-23T01:32:38.1383818Z  1315           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1383908Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:38.1383981Z                4 BINARY_ADD
2022-11-23T01:32:38.1384061Z                6 STORE_FAST               1 (tmp1)
2022-11-23T01:32:38.1384078Z 
2022-11-23T01:32:38.1384156Z 1316           8 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1384256Z               10 LOAD_METHOD              1 (unsqueeze_)
2022-11-23T01:32:38.1384378Z               12 LOAD_FAST                1 (tmp1)
2022-11-23T01:32:38.1384574Z               14 LOAD_CONST               2 (2)
2022-11-23T01:32:38.1384665Z               16 CALL_METHOD              2
2022-11-23T01:32:38.1384739Z               18 POP_TOP
2022-11-23T01:32:38.1384745Z 
2022-11-23T01:32:38.1384838Z 1317          20 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1384925Z               22 LOAD_METHOD              1 (unsqueeze_)
2022-11-23T01:32:38.1385047Z               24 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1385137Z               26 LOAD_CONST               1 (1)
2022-11-23T01:32:38.1385210Z               28 BINARY_ADD
2022-11-23T01:32:38.1385296Z               30 LOAD_CONST               3 (0)
2022-11-23T01:32:38.1385382Z               32 CALL_METHOD              2
2022-11-23T01:32:38.1385470Z               34 LOAD_CONST               2 (2)
2022-11-23T01:32:38.1385529Z               36 BINARY_ADD
2022-11-23T01:32:38.1385621Z               38 STORE_FAST               2 (tmp2)
2022-11-23T01:32:38.1385629Z 
2022-11-23T01:32:38.1385715Z 1318          40 LOAD_FAST                1 (tmp1)
2022-11-23T01:32:38.1385800Z               42 LOAD_FAST                2 (tmp2)
2022-11-23T01:32:38.1385887Z               44 BUILD_TUPLE              2
2022-11-23T01:32:38.1385961Z               46 RETURN_VALUE
2022-11-23T01:32:38.1386021Z  
2022-11-23T01:32:38.1386026Z 
2022-11-23T01:32:38.1386304Z [2022-11-23 01:28:54,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1315
2022-11-23T01:32:38.1386500Z [2022-11-23 01:28:54,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.1386740Z [2022-11-23 01:28:54,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:38.1387018Z [2022-11-23 01:28:54,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1387261Z [2022-11-23 01:28:54,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp1 [TensorVariable()]
2022-11-23T01:32:38.1387529Z [2022-11-23 01:28:54,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1316
2022-11-23T01:32:38.1387741Z [2022-11-23 01:28:54,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:38.1388053Z [2022-11-23 01:28:54,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1388315Z [2022-11-23 01:28:54,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp1 [TorchVariable(aten.unsqueeze_)]
2022-11-23T01:32:38.1388603Z [2022-11-23 01:28:54,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.unsqueeze_), TensorVariable()]
2022-11-23T01:32:38.1388931Z [2022-11-23 01:28:54,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.unsqueeze_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1389160Z [2022-11-23 01:28:54,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()]
2022-11-23T01:32:38.1389423Z [2022-11-23 01:28:54,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1317
2022-11-23T01:32:38.1389635Z [2022-11-23 01:28:54,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:38.1389945Z [2022-11-23 01:28:54,328] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze_ [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1390202Z [2022-11-23 01:28:54,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.unsqueeze_)]
2022-11-23T01:32:38.1390490Z [2022-11-23 01:28:54,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.unsqueeze_), TensorVariable()]
2022-11-23T01:32:38.1390822Z [2022-11-23 01:28:54,329] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.unsqueeze_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1391155Z [2022-11-23 01:28:54,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.unsqueeze_), TensorVariable()]
2022-11-23T01:32:38.1391484Z [2022-11-23 01:28:54,332] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.unsqueeze_), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1391749Z [2022-11-23 01:28:54,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:38.1392015Z [2022-11-23 01:28:54,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1392258Z [2022-11-23 01:28:54,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp2 [TensorVariable()]
2022-11-23T01:32:38.1392523Z [2022-11-23 01:28:54,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1318
2022-11-23T01:32:38.1392737Z [2022-11-23 01:28:54,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp1 []
2022-11-23T01:32:38.1392981Z [2022-11-23 01:28:54,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp2 [TensorVariable()]
2022-11-23T01:32:38.1393247Z [2022-11-23 01:28:54,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1393492Z [2022-11-23 01:28:54,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1393821Z [2022-11-23 01:28:54,336] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f647bf60, file "inductor/test_torchinductor.py", line 1314>
2022-11-23T01:32:38.1394065Z [2022-11-23 01:28:54,336] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1394286Z [2022-11-23 01:28:54,336] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.1394541Z [2022-11-23 01:28:54,339] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.1394796Z [2022-11-23 01:28:54,352] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.1394985Z [2022-11-23 01:28:54,353] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.1395120Z  __compiled_fn_411 <eval_with_key>.2540 opcode, name, target, args, kwargs
2022-11-23T01:32:38.1395212Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.1395387Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:38.1395509Z call_function, unsqueeze_, aten.unsqueeze_, (add, 2), {}
2022-11-23T01:32:38.1395670Z call_function, add_1, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:38.1395794Z call_function, unsqueeze__1, aten.unsqueeze_, (add_1, 0), {}
2022-11-23T01:32:38.1395981Z call_function, add_2, <built-in function add>, (unsqueeze__1, 2), {}
2022-11-23T01:32:38.1396085Z output, output, output, ((add, add_2),), {}
2022-11-23T01:32:38.1396092Z 
2022-11-23T01:32:38.1396372Z [2022-11-23 01:28:54,353] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1396467Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1396559Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1396654Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.1396733Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.1396813Z               8 RETURN_VALUE
2022-11-23T01:32:38.1396818Z 
2022-11-23T01:32:38.1396880Z  
2022-11-23T01:32:38.1397278Z [2022-11-23 01:28:54,353] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1397387Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_411)
2022-11-23T01:32:38.1397476Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1397571Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1397700Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.1397775Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.1397879Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.1397982Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1398074Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1398152Z              16 BINARY_SUBSCR
2022-11-23T01:32:38.1398286Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1398376Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:38.1398437Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.1398527Z              24 BUILD_TUPLE              2
2022-11-23T01:32:38.1398604Z              26 RETURN_VALUE
2022-11-23T01:32:38.1398609Z 
2022-11-23T01:32:38.1398670Z  
2022-11-23T01:32:38.1398854Z [2022-11-23 01:28:54,355] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.1398924Z  - 
2022-11-23T01:32:38.1399041Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.1399095Z             {
2022-11-23T01:32:38.1399236Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.1399423Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.1399543Z                 'obj_weakref': None
2022-11-23T01:32:38.1399766Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.1399833Z             }
2022-11-23T01:32:38.1399897Z             
2022-11-23T01:32:38.1399953Z  - 
2022-11-23T01:32:38.1400075Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.1400137Z             {
2022-11-23T01:32:38.1400279Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1400384Z                 'code': None,
2022-11-23T01:32:38.1400591Z                 'obj_weakref': <weakref at 0x7f71188f6e30; to 'Tensor' at 0x7f7106d07050>
2022-11-23T01:32:38.1400839Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1400904Z             }
2022-11-23T01:32:38.1400953Z             
2022-11-23T01:32:38.1401022Z  - 
2022-11-23T01:32:38.1401152Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.1401214Z             {
2022-11-23T01:32:38.1401347Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.1401516Z                 'code': ['___check_obj_id(model, 140123080602688)'],
2022-11-23T01:32:38.1401623Z                 'obj_weakref': None
2022-11-23T01:32:38.1401849Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.1401912Z             }
2022-11-23T01:32:38.1401976Z             
2022-11-23T01:32:38.1402044Z  - 
2022-11-23T01:32:38.1402164Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.1402227Z             {
2022-11-23T01:32:38.1402349Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.1402561Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.1402679Z                 'obj_weakref': None
2022-11-23T01:32:38.1402895Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.1402960Z             }
2022-11-23T01:32:38.1403024Z             
2022-11-23T01:32:38.1403092Z  - 
2022-11-23T01:32:38.1403209Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:38.1403270Z             {
2022-11-23T01:32:38.1403390Z                 'guard_types': None,
2022-11-23T01:32:38.1403495Z                 'code': None,
2022-11-23T01:32:38.1403611Z                 'obj_weakref': None
2022-11-23T01:32:38.1403730Z                 'guarded_class': None
2022-11-23T01:32:38.1403793Z             }
2022-11-23T01:32:38.1403843Z             
2022-11-23T01:32:38.1404102Z [2022-11-23 01:28:54,371] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 403
2022-11-23T01:32:38.1404472Z [2022-11-23 01:28:56,928] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ua/cuajwzjawh6qzfoloktxn4df5vljb27yr3yngdspm5qddbdxrhxl.py
2022-11-23T01:32:38.1404807Z [2022-11-23 01:28:56,929] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 403
2022-11-23T01:32:38.1404813Z 
2022-11-23T01:32:38.1404906Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.1404975Z import torch
2022-11-23T01:32:38.1405043Z import random
2022-11-23T01:32:38.1405189Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.1405299Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.1405305Z 
2022-11-23T01:32:38.1405382Z aten = torch.ops.aten
2022-11-23T01:32:38.1405514Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.1405607Z async_compile = AsyncCompile()
2022-11-23T01:32:38.1405612Z 
2022-11-23T01:32:38.1405616Z 
2022-11-23T01:32:38.1405750Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.1405956Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.1406077Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.1406178Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.1406262Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:38.1406323Z {
2022-11-23T01:32:38.1406421Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.1406483Z     {
2022-11-23T01:32:38.1406563Z         #pragma omp for 
2022-11-23T01:32:38.1406644Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:38.1406706Z         {
2022-11-23T01:32:38.1406834Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.1406966Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:38.1407051Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.1407181Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:38.1407267Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.1407358Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.1407448Z             tmp4.store(out_ptr1 + 16*i0);
2022-11-23T01:32:38.1407499Z         }
2022-11-23T01:32:38.1407594Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.1407674Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:38.1407736Z         {
2022-11-23T01:32:38.1407819Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.1407919Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:38.1408001Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.1408086Z             auto tmp3 = static_cast<float>(2);
2022-11-23T01:32:38.1408168Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.1408247Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.1408325Z             out_ptr1[i0] = tmp4;
2022-11-23T01:32:38.1408386Z         }
2022-11-23T01:32:38.1408445Z     }
2022-11-23T01:32:38.1408504Z }
2022-11-23T01:32:38.1408568Z ''')
2022-11-23T01:32:38.1408575Z 
2022-11-23T01:32:38.1408579Z 
2022-11-23T01:32:38.1408667Z async_compile.wait(globals())
2022-11-23T01:32:38.1408739Z del async_compile
2022-11-23T01:32:38.1408743Z 
2022-11-23T01:32:38.1408813Z def call(args):
2022-11-23T01:32:38.1408883Z     arg0_1, = args
2022-11-23T01:32:38.1408953Z     args.clear()
2022-11-23T01:32:38.1409161Z     buf0 = empty_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1409377Z     buf1 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1409528Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:38.1409595Z     del arg0_1
2022-11-23T01:32:38.1409707Z     return (as_strided(buf0, (2, 2, 1, 2, 2), (8, 4, 0, 2, 1)), buf1, )
2022-11-23T01:32:38.1409712Z 
2022-11-23T01:32:38.1409716Z 
2022-11-23T01:32:38.1409791Z if __name__ == "__main__":
2022-11-23T01:32:38.1409904Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.1410061Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.1410267Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1410373Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.1410378Z 
2022-11-23T01:32:38.1410432Z ok (2.652s)
2022-11-23T01:32:38.1410785Z   test_upsample_bicubic2d_cpu (__main__.CpuTests) ... [2022-11-23 01:28:57,013] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.1411055Z [2022-11-23 01:28:57,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.1411271Z [2022-11-23 01:28:57,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.1411521Z [2022-11-23 01:28:57,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.1411807Z [2022-11-23 01:28:57,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.1412132Z [2022-11-23 01:28:57,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.1412462Z [2022-11-23 01:28:57,014] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f642aa50, file "inductor/test_torchinductor.py", line 3074> 
2022-11-23T01:32:38.1412558Z  3076           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1412658Z                2 LOAD_METHOD              1 (upsample_bicubic2d)
2022-11-23T01:32:38.1412749Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1412845Z                6 LOAD_CONST               1 ((128, 128))
2022-11-23T01:32:38.1412937Z                8 LOAD_CONST               2 (True)
2022-11-23T01:32:38.1413025Z               10 CALL_METHOD              3
2022-11-23T01:32:38.1413030Z 
2022-11-23T01:32:38.1413120Z 3077          12 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1413233Z               14 LOAD_METHOD              1 (upsample_bicubic2d)
2022-11-23T01:32:38.1413322Z               16 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1413404Z               18 LOAD_CONST               3 ((128, 256))
2022-11-23T01:32:38.1413494Z               20 LOAD_CONST               4 (False)
2022-11-23T01:32:38.1413581Z               22 CALL_METHOD              3
2022-11-23T01:32:38.1413671Z               24 BUILD_TUPLE              2
2022-11-23T01:32:38.1413747Z               26 RETURN_VALUE
2022-11-23T01:32:38.1413807Z  
2022-11-23T01:32:38.1413812Z 
2022-11-23T01:32:38.1414080Z [2022-11-23 01:28:57,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3076
2022-11-23T01:32:38.1414282Z [2022-11-23 01:28:57,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:38.1414606Z [2022-11-23 01:28:57,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bicubic2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1414882Z [2022-11-23 01:28:57,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_bicubic2d)]
2022-11-23T01:32:38.1415191Z [2022-11-23 01:28:57,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (128, 128) [TorchVariable(aten.upsample_bicubic2d), TensorVariable()]
2022-11-23T01:32:38.1415537Z [2022-11-23 01:28:57,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:38.1415922Z [2022-11-23 01:28:57,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple), ConstantVariable(bool)]
2022-11-23T01:32:38.1416183Z [2022-11-23 01:28:57,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3077
2022-11-23T01:32:38.1416427Z [2022-11-23 01:28:57,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:38.1416814Z [2022-11-23 01:28:57,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bicubic2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1417115Z [2022-11-23 01:28:57,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_bicubic2d)]
2022-11-23T01:32:38.1417477Z [2022-11-23 01:28:57,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (128, 256) [TensorVariable(), TorchVariable(aten.upsample_bicubic2d), TensorVariable()]
2022-11-23T01:32:38.1417854Z [2022-11-23 01:28:57,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:38.1418257Z [2022-11-23 01:28:57,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple), ConstantVariable(bool)]
2022-11-23T01:32:38.1418526Z [2022-11-23 01:28:57,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1418769Z [2022-11-23 01:28:57,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1419103Z [2022-11-23 01:28:57,745] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f642aa50, file "inductor/test_torchinductor.py", line 3074>
2022-11-23T01:32:38.1419346Z [2022-11-23 01:28:57,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1419582Z [2022-11-23 01:28:57,745] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.1419839Z [2022-11-23 01:28:57,747] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.1420089Z [2022-11-23 01:28:58,261] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.1420275Z [2022-11-23 01:28:58,262] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.1420408Z  __compiled_fn_412 <eval_with_key>.2546 opcode, name, target, args, kwargs
2022-11-23T01:32:38.1420485Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.1420644Z call_function, upsample_bicubic2d, aten.upsample_bicubic2d, (ex_0_, (128, 128), True), {}
2022-11-23T01:32:38.1420802Z call_function, upsample_bicubic2d_1, aten.upsample_bicubic2d, (ex_0_, (128, 256), False), {}
2022-11-23T01:32:38.1420942Z output, output, output, ((upsample_bicubic2d, upsample_bicubic2d_1),), {}
2022-11-23T01:32:38.1420947Z 
2022-11-23T01:32:38.1421221Z [2022-11-23 01:28:58,262] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1421314Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1421406Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1421500Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.1421578Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.1421652Z               8 RETURN_VALUE
2022-11-23T01:32:38.1421657Z 
2022-11-23T01:32:38.1421717Z  
2022-11-23T01:32:38.1421987Z [2022-11-23 01:28:58,262] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1422097Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_412)
2022-11-23T01:32:38.1422187Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1422276Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1422339Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.1422427Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.1422528Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.1422628Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1422749Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1422824Z              16 BINARY_SUBSCR
2022-11-23T01:32:38.1422925Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1423016Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:38.1423079Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.1423165Z              24 BUILD_TUPLE              2
2022-11-23T01:32:38.1423240Z              26 RETURN_VALUE
2022-11-23T01:32:38.1423285Z 
2022-11-23T01:32:38.1423346Z  
2022-11-23T01:32:38.1423529Z [2022-11-23 01:28:58,264] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.1423601Z  - 
2022-11-23T01:32:38.1423719Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.1423771Z             {
2022-11-23T01:32:38.1423909Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.1424094Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.1424213Z                 'obj_weakref': None
2022-11-23T01:32:38.1424527Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.1424592Z             }
2022-11-23T01:32:38.1424655Z             
2022-11-23T01:32:38.1424712Z  - 
2022-11-23T01:32:38.1424837Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.1424900Z             {
2022-11-23T01:32:38.1425042Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1425150Z                 'code': None,
2022-11-23T01:32:38.1425356Z                 'obj_weakref': <weakref at 0x7f71070c2a70; to 'Tensor' at 0x7f7106e6acb0>
2022-11-23T01:32:38.1425604Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1425654Z             }
2022-11-23T01:32:38.1425718Z             
2022-11-23T01:32:38.1425786Z  - 
2022-11-23T01:32:38.1425918Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.1425984Z             {
2022-11-23T01:32:38.1426120Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.1426290Z                 'code': ['___check_obj_id(model, 140123421983952)'],
2022-11-23T01:32:38.1426395Z                 'obj_weakref': None
2022-11-23T01:32:38.1426625Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.1426689Z             }
2022-11-23T01:32:38.1426752Z             
2022-11-23T01:32:38.1426820Z  - 
2022-11-23T01:32:38.1426943Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.1427005Z             {
2022-11-23T01:32:38.1427128Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.1427341Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.1427458Z                 'obj_weakref': None
2022-11-23T01:32:38.1427674Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.1427738Z             }
2022-11-23T01:32:38.1427802Z             
2022-11-23T01:32:38.1427869Z  - 
2022-11-23T01:32:38.1427987Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:38.1428048Z             {
2022-11-23T01:32:38.1428167Z                 'guard_types': None,
2022-11-23T01:32:38.1428273Z                 'code': None,
2022-11-23T01:32:38.1428387Z                 'obj_weakref': None
2022-11-23T01:32:38.1428506Z                 'guarded_class': None
2022-11-23T01:32:38.1428556Z             }
2022-11-23T01:32:38.1428619Z             
2022-11-23T01:32:38.1428875Z [2022-11-23 01:28:58,801] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 404
2022-11-23T01:32:38.1428881Z 
2022-11-23T01:32:38.1428973Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.1429042Z import torch
2022-11-23T01:32:38.1429110Z import random
2022-11-23T01:32:38.1429225Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.1429345Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.1429384Z 
2022-11-23T01:32:38.1429449Z aten = torch.ops.aten
2022-11-23T01:32:38.1429583Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.1429675Z async_compile = AsyncCompile()
2022-11-23T01:32:38.1429680Z 
2022-11-23T01:32:38.1429685Z 
2022-11-23T01:32:38.1429818Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.1430027Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.1430179Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.1430280Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.1430375Z                        float* __restrict__ out_ptr1)
2022-11-23T01:32:38.1430424Z {
2022-11-23T01:32:38.1430522Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.1430584Z     {
2022-11-23T01:32:38.1430660Z         #pragma omp for 
2022-11-23T01:32:38.1430742Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:38.1430805Z         {
2022-11-23T01:32:38.1430886Z             #pragma GCC ivdep
2022-11-23T01:32:38.1430960Z             for(long i1=0; i1<128; i1+=1)
2022-11-23T01:32:38.1431022Z             {
2022-11-23T01:32:38.1431105Z                 #pragma GCC ivdep
2022-11-23T01:32:38.1431196Z                 for(long i2=0; i2<128; i2+=1)
2022-11-23T01:32:38.1431263Z                 {
2022-11-23T01:32:38.1431331Z                     {
2022-11-23T01:32:38.1431389Z                         {
2022-11-23T01:32:38.1431501Z                             auto tmp0 = static_cast<float>(i2);
2022-11-23T01:32:38.1431604Z                             auto tmp1 = 0.2440944881889764 * tmp0;
2022-11-23T01:32:38.1431714Z                             auto tmp2 = std::floor(tmp1);
2022-11-23T01:32:38.1431861Z                             auto tmp3 = tmp1 - tmp2;
2022-11-23T01:32:38.1431973Z                             auto tmp4 = static_cast<float>(i1);
2022-11-23T01:32:38.1432077Z                             auto tmp5 = 0.49606299212598426 * tmp4;
2022-11-23T01:32:38.1432182Z                             auto tmp6 = std::floor(tmp5);
2022-11-23T01:32:38.1432313Z                             auto tmp7 = tmp5 - tmp6;
2022-11-23T01:32:38.1432425Z                             auto tmp8 = static_cast<int>(tmp6);
2022-11-23T01:32:38.1432533Z                             auto tmp9 = static_cast<int>(tmp2);
2022-11-23T01:32:38.1432676Z                             auto tmp10 = tmp8 + -1;
2022-11-23T01:32:38.1432769Z                             auto tmp11 = tmp8 + 0;
2022-11-23T01:32:38.1432862Z                             auto tmp12 = tmp8 + 1;
2022-11-23T01:32:38.1432951Z                             auto tmp13 = tmp8 + 2;
2022-11-23T01:32:38.1433078Z                             auto tmp14 = tmp9 + -1;
2022-11-23T01:32:38.1433167Z                             auto tmp15 = tmp9 + 0;
2022-11-23T01:32:38.1433258Z                             auto tmp16 = tmp9 + 1;
2022-11-23T01:32:38.1433345Z                             auto tmp17 = tmp9 + 2;
2022-11-23T01:32:38.1433454Z                             auto tmp18 = std::min(63, tmp10);
2022-11-23T01:32:38.1433563Z                             auto tmp19 = std::max(0, tmp18);
2022-11-23T01:32:38.1433670Z                             auto tmp20 = std::min(31, tmp14);
2022-11-23T01:32:38.1433773Z                             auto tmp21 = std::max(0, tmp20);
2022-11-23T01:32:38.1433879Z                             auto tmp22 = in_ptr0[tmp21 + (32*tmp19) + (2048*i0)];
2022-11-23T01:32:38.1433986Z                             auto tmp23 = std::min(31, tmp15);
2022-11-23T01:32:38.1434090Z                             auto tmp24 = std::max(0, tmp23);
2022-11-23T01:32:38.1434208Z                             auto tmp25 = in_ptr0[tmp24 + (32*tmp19) + (2048*i0)];
2022-11-23T01:32:38.1434314Z                             auto tmp26 = std::min(31, tmp16);
2022-11-23T01:32:38.1434419Z                             auto tmp27 = std::max(0, tmp26);
2022-11-23T01:32:38.1434538Z                             auto tmp28 = in_ptr0[tmp27 + (32*tmp19) + (2048*i0)];
2022-11-23T01:32:38.1434673Z                             auto tmp29 = std::min(31, tmp17);
2022-11-23T01:32:38.1434764Z                             auto tmp30 = std::max(0, tmp29);
2022-11-23T01:32:38.1434880Z                             auto tmp31 = in_ptr0[tmp30 + (32*tmp19) + (2048*i0)];
2022-11-23T01:32:38.1434977Z                             auto tmp32 = tmp3 + 1.0;
2022-11-23T01:32:38.1435126Z                             auto tmp33 = -0.75 * tmp32;
2022-11-23T01:32:38.1435302Z                             auto tmp34 = tmp33 - -3.75;
2022-11-23T01:32:38.1435398Z                             auto tmp35 = tmp34 * tmp32;
2022-11-23T01:32:38.1435544Z                             auto tmp36 = tmp35 + -6.0;
2022-11-23T01:32:38.1435639Z                             auto tmp37 = tmp36 * tmp32;
2022-11-23T01:32:38.1435773Z                             auto tmp38 = tmp37 - -3.0;
2022-11-23T01:32:38.1435867Z                             auto tmp39 = 1.25 * tmp3;
2022-11-23T01:32:38.1436014Z                             auto tmp40 = tmp39 - 2.25;
2022-11-23T01:32:38.1436114Z                             auto tmp41 = tmp40 * tmp3;
2022-11-23T01:32:38.1436210Z                             auto tmp42 = tmp41 * tmp3;
2022-11-23T01:32:38.1436302Z                             auto tmp43 = tmp42 + 1.0;
2022-11-23T01:32:38.1436444Z                             auto tmp44 = 1.0 - tmp3;
2022-11-23T01:32:38.1436521Z                             auto tmp45 = 1.25 * tmp44;
2022-11-23T01:32:38.1436665Z                             auto tmp46 = tmp45 - 2.25;
2022-11-23T01:32:38.1436761Z                             auto tmp47 = tmp46 * tmp44;
2022-11-23T01:32:38.1436856Z                             auto tmp48 = tmp47 * tmp44;
2022-11-23T01:32:38.1436948Z                             auto tmp49 = tmp48 + 1.0;
2022-11-23T01:32:38.1437038Z                             auto tmp50 = tmp44 + 1.0;
2022-11-23T01:32:38.1437297Z                             auto tmp51 = -0.75 * tmp50;
2022-11-23T01:32:38.1437443Z                             auto tmp52 = tmp51 - -3.75;
2022-11-23T01:32:38.1437528Z                             auto tmp53 = tmp52 * tmp50;
2022-11-23T01:32:38.1437672Z                             auto tmp54 = tmp53 + -6.0;
2022-11-23T01:32:38.1437767Z                             auto tmp55 = tmp54 * tmp50;
2022-11-23T01:32:38.1437913Z                             auto tmp56 = tmp55 - -3.0;
2022-11-23T01:32:38.1438006Z                             auto tmp57 = tmp22 * tmp38;
2022-11-23T01:32:38.1438102Z                             auto tmp58 = tmp25 * tmp43;
2022-11-23T01:32:38.1438196Z                             auto tmp59 = tmp28 * tmp49;
2022-11-23T01:32:38.1438275Z                             auto tmp60 = tmp31 * tmp56;
2022-11-23T01:32:38.1438370Z                             auto tmp61 = tmp59 + tmp60;
2022-11-23T01:32:38.1438462Z                             auto tmp62 = tmp58 + tmp61;
2022-11-23T01:32:38.1438553Z                             auto tmp63 = tmp57 + tmp62;
2022-11-23T01:32:38.1438659Z                             auto tmp64 = std::min(63, tmp11);
2022-11-23T01:32:38.1438765Z                             auto tmp65 = std::max(0, tmp64);
2022-11-23T01:32:38.1438882Z                             auto tmp66 = in_ptr0[tmp21 + (32*tmp65) + (2048*i0)];
2022-11-23T01:32:38.1438997Z                             auto tmp67 = in_ptr0[tmp24 + (32*tmp65) + (2048*i0)];
2022-11-23T01:32:38.1439100Z                             auto tmp68 = in_ptr0[tmp27 + (32*tmp65) + (2048*i0)];
2022-11-23T01:32:38.1439217Z                             auto tmp69 = in_ptr0[tmp30 + (32*tmp65) + (2048*i0)];
2022-11-23T01:32:38.1439313Z                             auto tmp70 = tmp66 * tmp38;
2022-11-23T01:32:38.1439406Z                             auto tmp71 = tmp67 * tmp43;
2022-11-23T01:32:38.1439500Z                             auto tmp72 = tmp68 * tmp49;
2022-11-23T01:32:38.1439590Z                             auto tmp73 = tmp69 * tmp56;
2022-11-23T01:32:38.1439686Z                             auto tmp74 = tmp72 + tmp73;
2022-11-23T01:32:38.1439764Z                             auto tmp75 = tmp71 + tmp74;
2022-11-23T01:32:38.1439908Z                             auto tmp76 = tmp70 + tmp75;
2022-11-23T01:32:38.1440012Z                             auto tmp77 = std::min(63, tmp12);
2022-11-23T01:32:38.1440117Z                             auto tmp78 = std::max(0, tmp77);
2022-11-23T01:32:38.1440231Z                             auto tmp79 = in_ptr0[tmp21 + (32*tmp78) + (2048*i0)];
2022-11-23T01:32:38.1440344Z                             auto tmp80 = in_ptr0[tmp24 + (32*tmp78) + (2048*i0)];
2022-11-23T01:32:38.1440490Z                             auto tmp81 = in_ptr0[tmp27 + (32*tmp78) + (2048*i0)];
2022-11-23T01:32:38.1440606Z                             auto tmp82 = in_ptr0[tmp30 + (32*tmp78) + (2048*i0)];
2022-11-23T01:32:38.1440688Z                             auto tmp83 = tmp79 * tmp38;
2022-11-23T01:32:38.1440782Z                             auto tmp84 = tmp80 * tmp43;
2022-11-23T01:32:38.1440876Z                             auto tmp85 = tmp81 * tmp49;
2022-11-23T01:32:38.1440968Z                             auto tmp86 = tmp82 * tmp56;
2022-11-23T01:32:38.1441061Z                             auto tmp87 = tmp85 + tmp86;
2022-11-23T01:32:38.1441154Z                             auto tmp88 = tmp84 + tmp87;
2022-11-23T01:32:38.1441247Z                             auto tmp89 = tmp83 + tmp88;
2022-11-23T01:32:38.1441349Z                             auto tmp90 = std::min(63, tmp13);
2022-11-23T01:32:38.1441441Z                             auto tmp91 = std::max(0, tmp90);
2022-11-23T01:32:38.1441556Z                             auto tmp92 = in_ptr0[tmp21 + (32*tmp91) + (2048*i0)];
2022-11-23T01:32:38.1441668Z                             auto tmp93 = in_ptr0[tmp24 + (32*tmp91) + (2048*i0)];
2022-11-23T01:32:38.1441781Z                             auto tmp94 = in_ptr0[tmp27 + (32*tmp91) + (2048*i0)];
2022-11-23T01:32:38.1441894Z                             auto tmp95 = in_ptr0[tmp30 + (32*tmp91) + (2048*i0)];
2022-11-23T01:32:38.1441986Z                             auto tmp96 = tmp92 * tmp38;
2022-11-23T01:32:38.1442080Z                             auto tmp97 = tmp93 * tmp43;
2022-11-23T01:32:38.1442171Z                             auto tmp98 = tmp94 * tmp49;
2022-11-23T01:32:38.1442251Z                             auto tmp99 = tmp95 * tmp56;
2022-11-23T01:32:38.1442351Z                             auto tmp100 = tmp98 + tmp99;
2022-11-23T01:32:38.1442447Z                             auto tmp101 = tmp97 + tmp100;
2022-11-23T01:32:38.1442547Z                             auto tmp102 = tmp96 + tmp101;
2022-11-23T01:32:38.1442645Z                             auto tmp103 = tmp7 + 1.0;
2022-11-23T01:32:38.1442796Z                             auto tmp104 = -0.75 * tmp103;
2022-11-23T01:32:38.1442946Z                             auto tmp105 = tmp104 - -3.75;
2022-11-23T01:32:38.1443034Z                             auto tmp106 = tmp105 * tmp103;
2022-11-23T01:32:38.1443180Z                             auto tmp107 = tmp106 + -6.0;
2022-11-23T01:32:38.1443277Z                             auto tmp108 = tmp107 * tmp103;
2022-11-23T01:32:38.1443428Z                             auto tmp109 = tmp108 - -3.0;
2022-11-23T01:32:38.1443521Z                             auto tmp110 = 1.25 * tmp7;
2022-11-23T01:32:38.1443668Z                             auto tmp111 = tmp110 - 2.25;
2022-11-23T01:32:38.1443761Z                             auto tmp112 = tmp111 * tmp7;
2022-11-23T01:32:38.1443856Z                             auto tmp113 = tmp112 * tmp7;
2022-11-23T01:32:38.1443937Z                             auto tmp114 = tmp113 + 1.0;
2022-11-23T01:32:38.1444082Z                             auto tmp115 = 1.0 - tmp7;
2022-11-23T01:32:38.1444174Z                             auto tmp116 = 1.25 * tmp115;
2022-11-23T01:32:38.1444321Z                             auto tmp117 = tmp116 - 2.25;
2022-11-23T01:32:38.1444418Z                             auto tmp118 = tmp117 * tmp115;
2022-11-23T01:32:38.1444516Z                             auto tmp119 = tmp118 * tmp115;
2022-11-23T01:32:38.1444611Z                             auto tmp120 = tmp119 + 1.0;
2022-11-23T01:32:38.1444726Z                             auto tmp121 = tmp115 + 1.0;
2022-11-23T01:32:38.1444874Z                             auto tmp122 = -0.75 * tmp121;
2022-11-23T01:32:38.1445023Z                             auto tmp123 = tmp122 - -3.75;
2022-11-23T01:32:38.1445120Z                             auto tmp124 = tmp123 * tmp121;
2022-11-23T01:32:38.1445441Z                             auto tmp125 = tmp124 + -6.0;
2022-11-23T01:32:38.1445692Z                             auto tmp126 = tmp125 * tmp121;
2022-11-23T01:32:38.1445978Z                             auto tmp127 = tmp126 - -3.0;
2022-11-23T01:32:38.1446202Z                             auto tmp128 = tmp63 * tmp109;
2022-11-23T01:32:38.1446425Z                             auto tmp129 = tmp76 * tmp114;
2022-11-23T01:32:38.1446632Z                             auto tmp130 = tmp89 * tmp120;
2022-11-23T01:32:38.1446855Z                             auto tmp131 = tmp102 * tmp127;
2022-11-23T01:32:38.1447077Z                             auto tmp132 = tmp130 + tmp131;
2022-11-23T01:32:38.1447286Z                             auto tmp133 = tmp129 + tmp132;
2022-11-23T01:32:38.1447511Z                             auto tmp134 = tmp128 + tmp133;
2022-11-23T01:32:38.1447737Z                             out_ptr0[i2 + (128*i1) + (16384*i0)] = tmp134;
2022-11-23T01:32:38.1447927Z                         }
2022-11-23T01:32:38.1448094Z                     }
2022-11-23T01:32:38.1448257Z                 }
2022-11-23T01:32:38.1448404Z             }
2022-11-23T01:32:38.1448565Z         }
2022-11-23T01:32:38.1448735Z         #pragma omp for 
2022-11-23T01:32:38.1448914Z         for(long i0=0; i0<12; i0+=1)
2022-11-23T01:32:38.1449094Z         {
2022-11-23T01:32:38.1449266Z             #pragma GCC ivdep
2022-11-23T01:32:38.1449456Z             for(long i1=0; i1<128; i1+=1)
2022-11-23T01:32:38.1449636Z             {
2022-11-23T01:32:38.1449834Z                 #pragma GCC ivdep
2022-11-23T01:32:38.1450037Z                 for(long i2=0; i2<256; i2+=1)
2022-11-23T01:32:38.1450207Z                 {
2022-11-23T01:32:38.1450371Z                     {
2022-11-23T01:32:38.1450537Z                         {
2022-11-23T01:32:38.1450736Z                             auto tmp0 = static_cast<float>(i2);
2022-11-23T01:32:38.1450970Z                             auto tmp1 = tmp0 + 0.5;
2022-11-23T01:32:38.1451189Z                             auto tmp2 = 0.125 * tmp1;
2022-11-23T01:32:38.1451441Z                             auto tmp3 = tmp2 - 0.5;
2022-11-23T01:32:38.1451676Z                             auto tmp4 = std::floor(tmp3);
2022-11-23T01:32:38.1451950Z                             auto tmp5 = tmp3 - tmp4;
2022-11-23T01:32:38.1452169Z                             auto tmp6 = static_cast<float>(i1);
2022-11-23T01:32:38.1452394Z                             auto tmp7 = tmp6 + 0.5;
2022-11-23T01:32:38.1452599Z                             auto tmp8 = 0.5 * tmp7;
2022-11-23T01:32:38.1452850Z                             auto tmp9 = tmp8 - 0.5;
2022-11-23T01:32:38.1453062Z                             auto tmp10 = std::floor(tmp9);
2022-11-23T01:32:38.1453334Z                             auto tmp11 = tmp9 - tmp10;
2022-11-23T01:32:38.1453565Z                             auto tmp12 = static_cast<int>(tmp10);
2022-11-23T01:32:38.1453800Z                             auto tmp13 = static_cast<int>(tmp4);
2022-11-23T01:32:38.1454083Z                             auto tmp14 = tmp12 + -1;
2022-11-23T01:32:38.1454301Z                             auto tmp15 = tmp12 + 0;
2022-11-23T01:32:38.1454507Z                             auto tmp16 = tmp12 + 1;
2022-11-23T01:32:38.1454717Z                             auto tmp17 = tmp12 + 2;
2022-11-23T01:32:38.1454980Z                             auto tmp18 = tmp13 + -1;
2022-11-23T01:32:38.1455187Z                             auto tmp19 = tmp13 + 0;
2022-11-23T01:32:38.1455379Z                             auto tmp20 = tmp13 + 1;
2022-11-23T01:32:38.1455590Z                             auto tmp21 = tmp13 + 2;
2022-11-23T01:32:38.1455818Z                             auto tmp22 = std::min(63, tmp14);
2022-11-23T01:32:38.1456082Z                             auto tmp23 = std::max(0, tmp22);
2022-11-23T01:32:38.1456314Z                             auto tmp24 = std::min(31, tmp18);
2022-11-23T01:32:38.1456540Z                             auto tmp25 = std::max(0, tmp24);
2022-11-23T01:32:38.1456772Z                             auto tmp26 = in_ptr0[tmp25 + (32*tmp23) + (2048*i0)];
2022-11-23T01:32:38.1457056Z                             auto tmp27 = std::min(31, tmp19);
2022-11-23T01:32:38.1457324Z                             auto tmp28 = std::max(0, tmp27);
2022-11-23T01:32:38.1457573Z                             auto tmp29 = in_ptr0[tmp28 + (32*tmp23) + (2048*i0)];
2022-11-23T01:32:38.1457809Z                             auto tmp30 = std::min(31, tmp20);
2022-11-23T01:32:38.1458041Z                             auto tmp31 = std::max(0, tmp30);
2022-11-23T01:32:38.1458284Z                             auto tmp32 = in_ptr0[tmp31 + (32*tmp23) + (2048*i0)];
2022-11-23T01:32:38.1458534Z                             auto tmp33 = std::min(31, tmp21);
2022-11-23T01:32:38.1458748Z                             auto tmp34 = std::max(0, tmp33);
2022-11-23T01:32:38.1458989Z                             auto tmp35 = in_ptr0[tmp34 + (32*tmp23) + (2048*i0)];
2022-11-23T01:32:38.1459225Z                             auto tmp36 = tmp5 + 1.0;
2022-11-23T01:32:38.1459488Z                             auto tmp37 = -0.75 * tmp36;
2022-11-23T01:32:38.1459763Z                             auto tmp38 = tmp37 - -3.75;
2022-11-23T01:32:38.1459987Z                             auto tmp39 = tmp38 * tmp36;
2022-11-23T01:32:38.1460258Z                             auto tmp40 = tmp39 + -6.0;
2022-11-23T01:32:38.1460465Z                             auto tmp41 = tmp40 * tmp36;
2022-11-23T01:32:38.1460733Z                             auto tmp42 = tmp41 - -3.0;
2022-11-23T01:32:38.1460955Z                             auto tmp43 = 1.25 * tmp5;
2022-11-23T01:32:38.1461212Z                             auto tmp44 = tmp43 - 2.25;
2022-11-23T01:32:38.1461438Z                             auto tmp45 = tmp44 * tmp5;
2022-11-23T01:32:38.1461658Z                             auto tmp46 = tmp45 * tmp5;
2022-11-23T01:32:38.1461863Z                             auto tmp47 = tmp46 + 1.0;
2022-11-23T01:32:38.1462130Z                             auto tmp48 = 1.0 - tmp5;
2022-11-23T01:32:38.1462345Z                             auto tmp49 = 1.25 * tmp48;
2022-11-23T01:32:38.1462598Z                             auto tmp50 = tmp49 - 2.25;
2022-11-23T01:32:38.1462818Z                             auto tmp51 = tmp50 * tmp48;
2022-11-23T01:32:38.1463035Z                             auto tmp52 = tmp51 * tmp48;
2022-11-23T01:32:38.1463249Z                             auto tmp53 = tmp52 + 1.0;
2022-11-23T01:32:38.1463448Z                             auto tmp54 = tmp48 + 1.0;
2022-11-23T01:32:38.1463709Z                             auto tmp55 = -0.75 * tmp54;
2022-11-23T01:32:38.1463973Z                             auto tmp56 = tmp55 - -3.75;
2022-11-23T01:32:38.1464177Z                             auto tmp57 = tmp56 * tmp54;
2022-11-23T01:32:38.1464526Z                             auto tmp58 = tmp57 + -6.0;
2022-11-23T01:32:38.1464745Z                             auto tmp59 = tmp58 * tmp54;
2022-11-23T01:32:38.1464998Z                             auto tmp60 = tmp59 - -3.0;
2022-11-23T01:32:38.1465213Z                             auto tmp61 = tmp26 * tmp42;
2022-11-23T01:32:38.1465428Z                             auto tmp62 = tmp29 * tmp47;
2022-11-23T01:32:38.1465631Z                             auto tmp63 = tmp32 * tmp53;
2022-11-23T01:32:38.1465846Z                             auto tmp64 = tmp35 * tmp60;
2022-11-23T01:32:38.1466060Z                             auto tmp65 = tmp63 + tmp64;
2022-11-23T01:32:38.1466271Z                             auto tmp66 = tmp62 + tmp65;
2022-11-23T01:32:38.1466469Z                             auto tmp67 = tmp61 + tmp66;
2022-11-23T01:32:38.1466693Z                             auto tmp68 = std::min(63, tmp15);
2022-11-23T01:32:38.1466963Z                             auto tmp69 = std::max(0, tmp68);
2022-11-23T01:32:38.1467192Z                             auto tmp70 = in_ptr0[tmp25 + (32*tmp69) + (2048*i0)];
2022-11-23T01:32:38.1467450Z                             auto tmp71 = in_ptr0[tmp28 + (32*tmp69) + (2048*i0)];
2022-11-23T01:32:38.1467706Z                             auto tmp72 = in_ptr0[tmp31 + (32*tmp69) + (2048*i0)];
2022-11-23T01:32:38.1467991Z                             auto tmp73 = in_ptr0[tmp34 + (32*tmp69) + (2048*i0)];
2022-11-23T01:32:38.1468216Z                             auto tmp74 = tmp70 * tmp42;
2022-11-23T01:32:38.1468432Z                             auto tmp75 = tmp71 * tmp47;
2022-11-23T01:32:38.1468648Z                             auto tmp76 = tmp72 * tmp53;
2022-11-23T01:32:38.1468850Z                             auto tmp77 = tmp73 * tmp60;
2022-11-23T01:32:38.1469061Z                             auto tmp78 = tmp76 + tmp77;
2022-11-23T01:32:38.1469273Z                             auto tmp79 = tmp75 + tmp78;
2022-11-23T01:32:38.1469472Z                             auto tmp80 = tmp74 + tmp79;
2022-11-23T01:32:38.1469692Z                             auto tmp81 = std::min(63, tmp16);
2022-11-23T01:32:38.1469924Z                             auto tmp82 = std::max(0, tmp81);
2022-11-23T01:32:38.1470166Z                             auto tmp83 = in_ptr0[tmp25 + (32*tmp82) + (2048*i0)];
2022-11-23T01:32:38.1470408Z                             auto tmp84 = in_ptr0[tmp28 + (32*tmp82) + (2048*i0)];
2022-11-23T01:32:38.1470664Z                             auto tmp85 = in_ptr0[tmp31 + (32*tmp82) + (2048*i0)];
2022-11-23T01:32:38.1470919Z                             auto tmp86 = in_ptr0[tmp34 + (32*tmp82) + (2048*i0)];
2022-11-23T01:32:38.1471138Z                             auto tmp87 = tmp83 * tmp42;
2022-11-23T01:32:38.1471355Z                             auto tmp88 = tmp84 * tmp47;
2022-11-23T01:32:38.1471569Z                             auto tmp89 = tmp85 * tmp53;
2022-11-23T01:32:38.1471773Z                             auto tmp90 = tmp86 * tmp60;
2022-11-23T01:32:38.1471989Z                             auto tmp91 = tmp89 + tmp90;
2022-11-23T01:32:38.1472200Z                             auto tmp92 = tmp88 + tmp91;
2022-11-23T01:32:38.1472410Z                             auto tmp93 = tmp87 + tmp92;
2022-11-23T01:32:38.1472621Z                             auto tmp94 = std::min(63, tmp17);
2022-11-23T01:32:38.1472851Z                             auto tmp95 = std::max(0, tmp94);
2022-11-23T01:32:38.1473091Z                             auto tmp96 = in_ptr0[tmp25 + (32*tmp95) + (2048*i0)];
2022-11-23T01:32:38.1473332Z                             auto tmp97 = in_ptr0[tmp28 + (32*tmp95) + (2048*i0)];
2022-11-23T01:32:38.1473584Z                             auto tmp98 = in_ptr0[tmp31 + (32*tmp95) + (2048*i0)];
2022-11-23T01:32:38.1473836Z                             auto tmp99 = in_ptr0[tmp34 + (32*tmp95) + (2048*i0)];
2022-11-23T01:32:38.1474070Z                             auto tmp100 = tmp96 * tmp42;
2022-11-23T01:32:38.1474281Z                             auto tmp101 = tmp97 * tmp47;
2022-11-23T01:32:38.1474501Z                             auto tmp102 = tmp98 * tmp53;
2022-11-23T01:32:38.1474718Z                             auto tmp103 = tmp99 * tmp60;
2022-11-23T01:32:38.1474925Z                             auto tmp104 = tmp102 + tmp103;
2022-11-23T01:32:38.1475143Z                             auto tmp105 = tmp101 + tmp104;
2022-11-23T01:32:38.1475358Z                             auto tmp106 = tmp100 + tmp105;
2022-11-23T01:32:38.1475562Z                             auto tmp107 = tmp11 + 1.0;
2022-11-23T01:32:38.1475838Z                             auto tmp108 = -0.75 * tmp107;
2022-11-23T01:32:38.1476114Z                             auto tmp109 = tmp108 - -3.75;
2022-11-23T01:32:38.1476335Z                             auto tmp110 = tmp109 * tmp107;
2022-11-23T01:32:38.1476590Z                             auto tmp111 = tmp110 + -6.0;
2022-11-23T01:32:38.1476810Z                             auto tmp112 = tmp111 * tmp107;
2022-11-23T01:32:38.1477235Z                             auto tmp113 = tmp112 - -3.0;
2022-11-23T01:32:38.1477491Z                             auto tmp114 = 1.25 * tmp11;
2022-11-23T01:32:38.1477767Z                             auto tmp115 = tmp114 - 2.25;
2022-11-23T01:32:38.1477985Z                             auto tmp116 = tmp115 * tmp11;
2022-11-23T01:32:38.1478193Z                             auto tmp117 = tmp116 * tmp11;
2022-11-23T01:32:38.1478408Z                             auto tmp118 = tmp117 + 1.0;
2022-11-23T01:32:38.1478759Z                             auto tmp119 = 1.0 - tmp11;
2022-11-23T01:32:38.1478963Z                             auto tmp120 = 1.25 * tmp119;
2022-11-23T01:32:38.1479246Z                             auto tmp121 = tmp120 - 2.25;
2022-11-23T01:32:38.1479467Z                             auto tmp122 = tmp121 * tmp119;
2022-11-23T01:32:38.1479689Z                             auto tmp123 = tmp122 * tmp119;
2022-11-23T01:32:38.1479893Z                             auto tmp124 = tmp123 + 1.0;
2022-11-23T01:32:38.1480119Z                             auto tmp125 = tmp119 + 1.0;
2022-11-23T01:32:38.1480389Z                             auto tmp126 = -0.75 * tmp125;
2022-11-23T01:32:38.1480647Z                             auto tmp127 = tmp126 - -3.75;
2022-11-23T01:32:38.1480867Z                             auto tmp128 = tmp127 * tmp125;
2022-11-23T01:32:38.1481139Z                             auto tmp129 = tmp128 + -6.0;
2022-11-23T01:32:38.1481349Z                             auto tmp130 = tmp129 * tmp125;
2022-11-23T01:32:38.1481618Z                             auto tmp131 = tmp130 - -3.0;
2022-11-23T01:32:38.1481839Z                             auto tmp132 = tmp67 * tmp113;
2022-11-23T01:32:38.1482060Z                             auto tmp133 = tmp80 * tmp118;
2022-11-23T01:32:38.1482263Z                             auto tmp134 = tmp93 * tmp124;
2022-11-23T01:32:38.1482481Z                             auto tmp135 = tmp106 * tmp131;
2022-11-23T01:32:38.1482698Z                             auto tmp136 = tmp134 + tmp135;
2022-11-23T01:32:38.1482903Z                             auto tmp137 = tmp133 + tmp136;
2022-11-23T01:32:38.1483121Z                             auto tmp138 = tmp132 + tmp137;
2022-11-23T01:32:38.1483345Z                             out_ptr1[i2 + (256*i1) + (32768*i0)] = tmp138;
2022-11-23T01:32:38.1483534Z                         }
2022-11-23T01:32:38.1483704Z                     }
2022-11-23T01:32:38.1483868Z                 }
2022-11-23T01:32:38.1484015Z             }
2022-11-23T01:32:38.1484172Z         }
2022-11-23T01:32:38.1484321Z     }
2022-11-23T01:32:38.1484455Z }
2022-11-23T01:32:38.1484615Z ''')
2022-11-23T01:32:38.1484708Z 
2022-11-23T01:32:38.1484713Z 
2022-11-23T01:32:38.1484804Z async_compile.wait(globals())
2022-11-23T01:32:38.1484986Z del async_compile
2022-11-23T01:32:38.1485092Z 
2022-11-23T01:32:38.1485163Z def call(args):
2022-11-23T01:32:38.1485335Z     arg0_1, = args
2022-11-23T01:32:38.1485504Z     args.clear()
2022-11-23T01:32:38.1485822Z     buf0 = empty_strided((4, 3, 128, 128), (49152, 16384, 128, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1486211Z     buf1 = empty_strided((4, 3, 128, 256), (98304, 32768, 256, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1486531Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:38.1486769Z     del arg0_1
2022-11-23T01:32:38.1486948Z     return (buf0, buf1, )
2022-11-23T01:32:38.1487061Z 
2022-11-23T01:32:38.1487066Z 
2022-11-23T01:32:38.1487143Z if __name__ == "__main__":
2022-11-23T01:32:38.1487367Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.1487619Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.1487989Z     arg0_1 = rand_strided((4, 3, 64, 32), (6144, 2048, 32, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1488258Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.1488754Z [2022-11-23 01:29:01,734] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gn/cgng74arkbnxsslwqxsu2uqkawy74xdse5b7elby2ikdkwdv57hl.py
2022-11-23T01:32:38.1489360Z [2022-11-23 01:29:01,735] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 404
2022-11-23T01:32:38.1489562Z 
2022-11-23T01:32:38.1489631Z ok (4.980s)
2022-11-23T01:32:38.1490061Z   test_upsample_bilinear2d_a_cpu (__main__.CpuTests) ... [2022-11-23 01:29:01,931] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.1490573Z [2022-11-23 01:29:01,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.1490994Z [2022-11-23 01:29:01,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.1491421Z [2022-11-23 01:29:01,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.1491901Z [2022-11-23 01:29:01,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.1492428Z [2022-11-23 01:29:01,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.1492992Z [2022-11-23 01:29:01,932] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f642a420, file "inductor/test_torchinductor.py", line 3007> 
2022-11-23T01:32:38.1493319Z  3009           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1493546Z                2 LOAD_METHOD              1 (upsample_bilinear2d)
2022-11-23T01:32:38.1493779Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1493991Z                6 LOAD_CONST               1 (45)
2022-11-23T01:32:38.1494206Z                8 LOAD_CONST               1 (45)
2022-11-23T01:32:38.1494399Z               10 BUILD_LIST               2
2022-11-23T01:32:38.1494610Z               12 LOAD_CONST               2 (False)
2022-11-23T01:32:38.1494822Z               14 LOAD_CONST               0 (None)
2022-11-23T01:32:38.1495021Z               16 CALL_METHOD              4
2022-11-23T01:32:38.1495144Z 
2022-11-23T01:32:38.1495236Z 3010          18 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1495472Z               20 LOAD_METHOD              1 (upsample_bilinear2d)
2022-11-23T01:32:38.1495687Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1495903Z               24 LOAD_CONST               0 (None)
2022-11-23T01:32:38.1496116Z               26 LOAD_CONST               3 (True)
2022-11-23T01:32:38.1496328Z               28 LOAD_CONST               4 (2.0)
2022-11-23T01:32:38.1496522Z               30 LOAD_CONST               4 (2.0)
2022-11-23T01:32:38.1496735Z               32 BUILD_LIST               2
2022-11-23T01:32:38.1496943Z               34 CALL_METHOD              4
2022-11-23T01:32:38.1497129Z               36 BUILD_TUPLE              2
2022-11-23T01:32:38.1497327Z               38 RETURN_VALUE
2022-11-23T01:32:38.1497505Z  
2022-11-23T01:32:38.1497588Z 
2022-11-23T01:32:38.1497866Z [2022-11-23 01:29:01,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3009
2022-11-23T01:32:38.1498290Z [2022-11-23 01:29:01,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:38.1498796Z [2022-11-23 01:29:01,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bilinear2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1499315Z [2022-11-23 01:29:01,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_bilinear2d)]
2022-11-23T01:32:38.1499828Z [2022-11-23 01:29:01,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TorchVariable(aten.upsample_bilinear2d), TensorVariable()]
2022-11-23T01:32:38.1500393Z [2022-11-23 01:29:01,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1501058Z [2022-11-23 01:29:01,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1501666Z [2022-11-23 01:29:01,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.1502296Z [2022-11-23 01:29:01,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ListVariable(), ConstantVariable(bool)]
2022-11-23T01:32:38.1502984Z [2022-11-23 01:29:01,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(NoneType)]
2022-11-23T01:32:38.1503550Z [2022-11-23 01:29:02,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3010
2022-11-23T01:32:38.1503997Z [2022-11-23 01:29:02,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:38.1504619Z [2022-11-23 01:29:02,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bilinear2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1505165Z [2022-11-23 01:29:02,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_bilinear2d)]
2022-11-23T01:32:38.1505722Z [2022-11-23 01:29:02,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable()]
2022-11-23T01:32:38.1506346Z [2022-11-23 01:29:02,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:38.1507036Z [2022-11-23 01:29:02,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool)]
2022-11-23T01:32:38.1507789Z [2022-11-23 01:29:02,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float)]
2022-11-23T01:32:38.1508626Z [2022-11-23 01:29:02,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:38.1509421Z [2022-11-23 01:29:02,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ListVariable()]
2022-11-23T01:32:38.1509999Z [2022-11-23 01:29:02,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1510449Z [2022-11-23 01:29:02,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1510953Z [2022-11-23 01:29:02,068] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f642a420, file "inductor/test_torchinductor.py", line 3007>
2022-11-23T01:32:38.1511427Z [2022-11-23 01:29:02,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1511849Z [2022-11-23 01:29:02,069] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.1512278Z [2022-11-23 01:29:02,070] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.1512707Z [2022-11-23 01:29:02,154] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.1513082Z [2022-11-23 01:29:02,154] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.1513414Z  __compiled_fn_413 <eval_with_key>.2552 opcode, name, target, args, kwargs
2022-11-23T01:32:38.1513663Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.1513934Z call_function, upsample_bilinear2d, aten.upsample_bilinear2d, (ex_0_, [45, 45], False, None), {}
2022-11-23T01:32:38.1514280Z call_function, upsample_bilinear2d_1, aten.upsample_bilinear2d, (ex_0_, None, True, [2.0, 2.0]), {}
2022-11-23T01:32:38.1514635Z output, output, output, ((upsample_bilinear2d, upsample_bilinear2d_1),), {}
2022-11-23T01:32:38.1514809Z 
2022-11-23T01:32:38.1515075Z [2022-11-23 01:29:02,155] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1515377Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1515593Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1515809Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.1516011Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.1516208Z               8 RETURN_VALUE
2022-11-23T01:32:38.1516321Z 
2022-11-23T01:32:38.1516383Z  
2022-11-23T01:32:38.1516736Z [2022-11-23 01:29:02,155] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1517049Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_413)
2022-11-23T01:32:38.1517374Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1517573Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1517770Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.1517969Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.1518194Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.1518409Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1518626Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1518822Z              16 BINARY_SUBSCR
2022-11-23T01:32:38.1519022Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1519239Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:38.1519430Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.1519612Z              24 BUILD_TUPLE              2
2022-11-23T01:32:38.1519806Z              26 RETURN_VALUE
2022-11-23T01:32:38.1519921Z 
2022-11-23T01:32:38.1519981Z  
2022-11-23T01:32:38.1520245Z [2022-11-23 01:29:02,156] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.1520466Z  - 
2022-11-23T01:32:38.1520673Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.1520837Z             {
2022-11-23T01:32:38.1521072Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.1521385Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.1521648Z                 'obj_weakref': None
2022-11-23T01:32:38.1521974Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.1522209Z             }
2022-11-23T01:32:38.1522377Z             
2022-11-23T01:32:38.1522528Z  - 
2022-11-23T01:32:38.1522739Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.1522919Z             {
2022-11-23T01:32:38.1523142Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1523378Z                 'code': None,
2022-11-23T01:32:38.1523695Z                 'obj_weakref': <weakref at 0x7f7141277bf0; to 'Tensor' at 0x7f70f2e142f0>
2022-11-23T01:32:38.1524094Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1524338Z             }
2022-11-23T01:32:38.1524496Z             
2022-11-23T01:32:38.1524643Z  - 
2022-11-23T01:32:38.1524863Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.1525049Z             {
2022-11-23T01:32:38.1525264Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.1525551Z                 'code': ['___check_obj_id(model, 140123082950704)'],
2022-11-23T01:32:38.1525873Z                 'obj_weakref': None
2022-11-23T01:32:38.1526219Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.1526440Z             }
2022-11-23T01:32:38.1526601Z             
2022-11-23T01:32:38.1526763Z  - 
2022-11-23T01:32:38.1526963Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.1527143Z             {
2022-11-23T01:32:38.1527373Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.1527734Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.1528020Z                 'obj_weakref': None
2022-11-23T01:32:38.1528357Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.1528576Z             }
2022-11-23T01:32:38.1528732Z             
2022-11-23T01:32:38.1528893Z  - 
2022-11-23T01:32:38.1529104Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:38.1529293Z             {
2022-11-23T01:32:38.1529506Z                 'guard_types': None,
2022-11-23T01:32:38.1529714Z                 'code': None,
2022-11-23T01:32:38.1529941Z                 'obj_weakref': None
2022-11-23T01:32:38.1530173Z                 'guarded_class': None
2022-11-23T01:32:38.1530338Z             }
2022-11-23T01:32:38.1530492Z             
2022-11-23T01:32:38.1530844Z [2022-11-23 01:29:02,241] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 405
2022-11-23T01:32:38.1531250Z [2022-11-23 01:29:02,243] torch._inductor.graph: [WARNING] Creating implicit fallback for:
2022-11-23T01:32:38.1531531Z   target: aten.upsample_bilinear2d.default
2022-11-23T01:32:38.1531758Z   args[0]: TensorBox(StorageBox(
2022-11-23T01:32:38.1532146Z     InputBuffer(name='arg0_1', layout=FixedLayout('cpu', torch.float32, size=[2, 4, 37, 38], stride=[5624, 1406, 38, 1]))
2022-11-23T01:32:38.1532385Z   ))
2022-11-23T01:32:38.1532542Z   args[1]: [45, 45]
2022-11-23T01:32:38.1532714Z   args[2]: False
2022-11-23T01:32:38.1533134Z [2022-11-23 01:29:02,244] torch._inductor.lowering: [WARNING] make_fallback(aten.upsample_bilinear2d.default): a decomposition exists, we should switch to it
2022-11-23T01:32:38.1533649Z [2022-11-23 01:29:02,290] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.upsample_bilinear2d.default
2022-11-23T01:32:38.1534133Z [2022-11-23 01:29:02,329] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.upsample_bilinear2d.default
2022-11-23T01:32:38.1534723Z [2022-11-23 01:29:02,333] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/c6/cc6jwthtvlfgybyqb2nevaigxcgibtxfdnojafkjtzoh2r5vizno.py
2022-11-23T01:32:38.1535253Z [2022-11-23 01:29:02,334] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 405
2022-11-23T01:32:38.1535455Z 
2022-11-23T01:32:38.1535551Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.1535747Z import torch
2022-11-23T01:32:38.1535905Z import random
2022-11-23T01:32:38.1536121Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.1536386Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.1536538Z 
2022-11-23T01:32:38.1536617Z aten = torch.ops.aten
2022-11-23T01:32:38.1536847Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.1537099Z async_compile = AsyncCompile()
2022-11-23T01:32:38.1537226Z 
2022-11-23T01:32:38.1537231Z 
2022-11-23T01:32:38.1537319Z async_compile.wait(globals())
2022-11-23T01:32:38.1537500Z del async_compile
2022-11-23T01:32:38.1537607Z 
2022-11-23T01:32:38.1537677Z def call(args):
2022-11-23T01:32:38.1537844Z     arg0_1, = args
2022-11-23T01:32:38.1538008Z     args.clear()
2022-11-23T01:32:38.1538261Z     buf0 = torch.ops.aten.upsample_bilinear2d.default(arg0_1, [45, 45], False)
2022-11-23T01:32:38.1538506Z     buf1 = buf0
2022-11-23T01:32:38.1538702Z     assert_size_stride(buf1, (2, 4, 45, 45), (8100, 2025, 45, 1))
2022-11-23T01:32:38.1538901Z     del buf0
2022-11-23T01:32:38.1539196Z     buf2 = torch.ops.aten.upsample_bilinear2d.default(arg0_1, [74, 76], True, 2.0, 2.0)
2022-11-23T01:32:38.1539441Z     del arg0_1
2022-11-23T01:32:38.1539595Z     buf3 = buf2
2022-11-23T01:32:38.1539809Z     assert_size_stride(buf3, (2, 4, 74, 76), (22496, 5624, 76, 1))
2022-11-23T01:32:38.1540013Z     del buf2
2022-11-23T01:32:38.1540176Z     return (buf1, buf3, )
2022-11-23T01:32:38.1540290Z 
2022-11-23T01:32:38.1540296Z 
2022-11-23T01:32:38.1540373Z if __name__ == "__main__":
2022-11-23T01:32:38.1540670Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.1540923Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.1541302Z     arg0_1 = rand_strided((2, 4, 37, 38), (5624, 1406, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1541575Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.1541716Z 
2022-11-23T01:32:38.1541783Z ok (0.458s)
2022-11-23T01:32:38.1542202Z   test_upsample_bilinear2d_b_cpu (__main__.CpuTests) ... [2022-11-23 01:29:02,378] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.1542705Z [2022-11-23 01:29:02,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.1543126Z [2022-11-23 01:29:02,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.1543543Z [2022-11-23 01:29:02,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.1544023Z [2022-11-23 01:29:02,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.1544652Z [2022-11-23 01:29:02,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.1545227Z [2022-11-23 01:29:02,378] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f642a540, file "inductor/test_torchinductor.py", line 3016> 
2022-11-23T01:32:38.1545541Z  3017           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1545786Z                2 LOAD_METHOD              1 (upsample_bilinear2d)
2022-11-23T01:32:38.1546018Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1546234Z                6 LOAD_CONST               0 (None)
2022-11-23T01:32:38.1546430Z                8 LOAD_CONST               1 (True)
2022-11-23T01:32:38.1546645Z               10 LOAD_CONST               2 (2.0)
2022-11-23T01:32:38.1546860Z               12 LOAD_CONST               2 (2.0)
2022-11-23T01:32:38.1547053Z               14 BUILD_LIST               2
2022-11-23T01:32:38.1547254Z               16 CALL_METHOD              4
2022-11-23T01:32:38.1547446Z               18 RETURN_VALUE
2022-11-23T01:32:38.1547601Z  
2022-11-23T01:32:38.1547693Z 
2022-11-23T01:32:38.1547973Z [2022-11-23 01:29:02,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3017
2022-11-23T01:32:38.1548392Z [2022-11-23 01:29:02,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:38.1548890Z [2022-11-23 01:29:02,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bilinear2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1549386Z [2022-11-23 01:29:02,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_bilinear2d)]
2022-11-23T01:32:38.1549899Z [2022-11-23 01:29:02,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_bilinear2d), TensorVariable()]
2022-11-23T01:32:38.1550474Z [2022-11-23 01:29:02,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:38.1551118Z [2022-11-23 01:29:02,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool)]
2022-11-23T01:32:38.1551865Z [2022-11-23 01:29:02,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float)]
2022-11-23T01:32:38.1552661Z [2022-11-23 01:29:02,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:38.1553419Z [2022-11-23 01:29:02,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ListVariable()]
2022-11-23T01:32:38.1553964Z [2022-11-23 01:29:02,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.1554479Z [2022-11-23 01:29:02,439] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f642a540, file "inductor/test_torchinductor.py", line 3016>
2022-11-23T01:32:38.1554946Z [2022-11-23 01:29:02,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.1555367Z [2022-11-23 01:29:02,439] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.1555802Z [2022-11-23 01:29:02,440] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.1556241Z [2022-11-23 01:29:02,479] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.1556603Z [2022-11-23 01:29:02,479] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.1556887Z  __compiled_fn_414 <eval_with_key>.2558 opcode, name, target, args, kwargs
2022-11-23T01:32:38.1557260Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.1557532Z call_function, upsample_bilinear2d, aten.upsample_bilinear2d, (ex_0_, None, True, [2.0, 2.0]), {}
2022-11-23T01:32:38.1557838Z output, output, output, ((upsample_bilinear2d,),), {}
2022-11-23T01:32:38.1557990Z 
2022-11-23T01:32:38.1558269Z [2022-11-23 01:29:02,479] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1558568Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1558767Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1558982Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.1559195Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.1559378Z               8 RETURN_VALUE
2022-11-23T01:32:38.1559491Z 
2022-11-23T01:32:38.1559551Z  
2022-11-23T01:32:38.1559912Z [2022-11-23 01:29:02,480] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1560216Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_414)
2022-11-23T01:32:38.1560438Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1560648Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1560842Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.1561027Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.1561233Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:38.1561427Z              12 RETURN_VALUE
2022-11-23T01:32:38.1561527Z 
2022-11-23T01:32:38.1561587Z  
2022-11-23T01:32:38.1561856Z [2022-11-23 01:29:02,481] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.1562077Z  - 
2022-11-23T01:32:38.1562271Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.1562446Z             {
2022-11-23T01:32:38.1562684Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.1562983Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.1563244Z                 'obj_weakref': None
2022-11-23T01:32:38.1563582Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.1563864Z             }
2022-11-23T01:32:38.1564022Z             
2022-11-23T01:32:38.1564191Z  - 
2022-11-23T01:32:38.1564393Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.1564576Z             {
2022-11-23T01:32:38.1564812Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1565045Z                 'code': None,
2022-11-23T01:32:38.1565400Z                 'obj_weakref': <weakref at 0x7f70f10c6cb0; to 'Tensor' at 0x7f70f108e3b0>
2022-11-23T01:32:38.1565813Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1566055Z             }
2022-11-23T01:32:38.1566199Z             
2022-11-23T01:32:38.1566361Z  - 
2022-11-23T01:32:38.1566579Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.1566752Z             {
2022-11-23T01:32:38.1566981Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.1567270Z                 'code': ['___check_obj_id(model, 140123418870416)'],
2022-11-23T01:32:38.1567512Z                 'obj_weakref': None
2022-11-23T01:32:38.1567852Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.1568082Z             }
2022-11-23T01:32:38.1568230Z             
2022-11-23T01:32:38.1568390Z  - 
2022-11-23T01:32:38.1568597Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.1568765Z             {
2022-11-23T01:32:38.1568996Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.1569336Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.1569618Z                 'obj_weakref': None
2022-11-23T01:32:38.1569938Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.1570163Z             }
2022-11-23T01:32:38.1570319Z             
2022-11-23T01:32:38.1570468Z  - 
2022-11-23T01:32:38.1570687Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:38.1570877Z             {
2022-11-23T01:32:38.1571077Z                 'guard_types': None,
2022-11-23T01:32:38.1571299Z                 'code': None,
2022-11-23T01:32:38.1571520Z                 'obj_weakref': None
2022-11-23T01:32:38.1571740Z                 'guarded_class': None
2022-11-23T01:32:38.1571916Z             }
2022-11-23T01:32:38.1572070Z             
2022-11-23T01:32:38.1572415Z [2022-11-23 01:29:02,521] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 406
2022-11-23T01:32:38.1572887Z [2022-11-23 01:29:02,560] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.upsample_bilinear2d.default
2022-11-23T01:32:38.1573470Z [2022-11-23 01:29:02,563] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rx/crxihpsvscu7mq7celyuqnjydsd2ow4swyg5c2zawg5wjxnzsn46.py
2022-11-23T01:32:38.1574007Z [2022-11-23 01:29:02,563] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 406
2022-11-23T01:32:38.1574205Z 
2022-11-23T01:32:38.1574288Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.1574482Z import torch
2022-11-23T01:32:38.1574650Z import random
2022-11-23T01:32:38.1574854Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.1575118Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.1575271Z 
2022-11-23T01:32:38.1575348Z aten = torch.ops.aten
2022-11-23T01:32:38.1575583Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.1575832Z async_compile = AsyncCompile()
2022-11-23T01:32:38.1575958Z 
2022-11-23T01:32:38.1575963Z 
2022-11-23T01:32:38.1576051Z async_compile.wait(globals())
2022-11-23T01:32:38.1576242Z del async_compile
2022-11-23T01:32:38.1576337Z 
2022-11-23T01:32:38.1576406Z def call(args):
2022-11-23T01:32:38.1576572Z     arg0_1, = args
2022-11-23T01:32:38.1576741Z     args.clear()
2022-11-23T01:32:38.1576984Z     buf0 = torch.ops.aten.upsample_bilinear2d.default(arg0_1, [80, 118], True, 2.0, 2.0)
2022-11-23T01:32:38.1577265Z     del arg0_1
2022-11-23T01:32:38.1577431Z     buf1 = buf0
2022-11-23T01:32:38.1577629Z     assert_size_stride(buf1, (1, 2, 80, 118), (18880, 9440, 118, 1))
2022-11-23T01:32:38.1577832Z     del buf0
2022-11-23T01:32:38.1577999Z     return (buf1, )
2022-11-23T01:32:38.1578105Z 
2022-11-23T01:32:38.1578109Z 
2022-11-23T01:32:38.1578172Z if __name__ == "__main__":
2022-11-23T01:32:38.1578392Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.1578689Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.1579066Z     arg0_1 = rand_strided((1, 2, 40, 59), (4720, 2360, 59, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1579324Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.1579462Z 
2022-11-23T01:32:38.1579528Z ok (0.203s)
2022-11-23T01:32:38.1579949Z   test_upsample_nearest1d_cpu (__main__.CpuTests) ... [2022-11-23 01:29:02,580] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.1580438Z [2022-11-23 01:29:02,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.1580855Z [2022-11-23 01:29:02,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.1581281Z [2022-11-23 01:29:02,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.1581760Z [2022-11-23 01:29:02,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.1582282Z [2022-11-23 01:29:02,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.1582610Z [2022-11-23 01:29:02,580] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6423ed0, file "inductor/test_torchinductor.py", line 2957> 
2022-11-23T01:32:38.1582707Z  2959           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1582822Z                2 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T01:32:38.1582916Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1583010Z                6 LOAD_CONST               1 (74)
2022-11-23T01:32:38.1583100Z                8 BUILD_LIST               1
2022-11-23T01:32:38.1583194Z               10 LOAD_CONST               0 (None)
2022-11-23T01:32:38.1583270Z               12 CALL_METHOD              3
2022-11-23T01:32:38.1583275Z 
2022-11-23T01:32:38.1583369Z 2960          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1583483Z               16 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T01:32:38.1583572Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1583663Z               20 LOAD_CONST               2 (70)
2022-11-23T01:32:38.1583752Z               22 BUILD_LIST               1
2022-11-23T01:32:38.1583847Z               24 LOAD_CONST               0 (None)
2022-11-23T01:32:38.1583921Z               26 CALL_METHOD              3
2022-11-23T01:32:38.1583943Z 
2022-11-23T01:32:38.1584022Z 2961          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1584133Z               30 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T01:32:38.1584224Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1584318Z               34 LOAD_CONST               3 (45)
2022-11-23T01:32:38.1584405Z               36 BUILD_LIST               1
2022-11-23T01:32:38.1584565Z               38 LOAD_CONST               0 (None)
2022-11-23T01:32:38.1584654Z               40 CALL_METHOD              3
2022-11-23T01:32:38.1584658Z 
2022-11-23T01:32:38.1584735Z 2962          42 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1584845Z               44 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T01:32:38.1584937Z               46 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1585027Z               48 LOAD_CONST               4 (36)
2022-11-23T01:32:38.1585114Z               50 BUILD_LIST               1
2022-11-23T01:32:38.1585243Z               52 LOAD_CONST               0 (None)
2022-11-23T01:32:38.1585330Z               54 CALL_METHOD              3
2022-11-23T01:32:38.1585335Z 
2022-11-23T01:32:38.1585426Z 2963          56 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1585523Z               58 LOAD_METHOD              1 (upsample_nearest1d)
2022-11-23T01:32:38.1585613Z               60 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1585734Z               62 LOAD_CONST               0 (None)
2022-11-23T01:32:38.1585826Z               64 LOAD_CONST               5 (2.0)
2022-11-23T01:32:38.1585915Z               66 BUILD_LIST               1
2022-11-23T01:32:38.1586003Z               68 CALL_METHOD              3
2022-11-23T01:32:38.1586090Z               70 BUILD_TUPLE              5
2022-11-23T01:32:38.1586155Z               72 RETURN_VALUE
2022-11-23T01:32:38.1586217Z  
2022-11-23T01:32:38.1586222Z 
2022-11-23T01:32:38.1586504Z [2022-11-23 01:29:02,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2959
2022-11-23T01:32:38.1586731Z [2022-11-23 01:29:02,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:38.1587062Z [2022-11-23 01:29:02,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1587341Z [2022-11-23 01:29:02,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest1d)]
2022-11-23T01:32:38.1587647Z [2022-11-23 01:29:02,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T01:32:38.1587991Z [2022-11-23 01:29:02,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1588324Z [2022-11-23 01:29:02,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.1588706Z [2022-11-23 01:29:02,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:38.1588961Z [2022-11-23 01:29:02,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2960
2022-11-23T01:32:38.1589216Z [2022-11-23 01:29:02,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:38.1589575Z [2022-11-23 01:29:02,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1589877Z [2022-11-23 01:29:02,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest1d)]
2022-11-23T01:32:38.1590208Z [2022-11-23 01:29:02,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 70 [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T01:32:38.1590578Z [2022-11-23 01:29:02,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1590944Z [2022-11-23 01:29:02,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.1591347Z [2022-11-23 01:29:02,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:38.1591615Z [2022-11-23 01:29:02,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2961
2022-11-23T01:32:38.1591888Z [2022-11-23 01:29:02,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1592311Z [2022-11-23 01:29:02,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1592638Z [2022-11-23 01:29:02,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d)]
2022-11-23T01:32:38.1593020Z [2022-11-23 01:29:02,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T01:32:38.1593422Z [2022-11-23 01:29:02,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1593805Z [2022-11-23 01:29:02,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.1594245Z [2022-11-23 01:29:02,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:38.1594513Z [2022-11-23 01:29:02,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2962
2022-11-23T01:32:38.1594812Z [2022-11-23 01:29:02,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1595222Z [2022-11-23 01:29:02,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1595575Z [2022-11-23 01:29:02,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d)]
2022-11-23T01:32:38.1595961Z [2022-11-23 01:29:02,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 36 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T01:32:38.1596392Z [2022-11-23 01:29:02,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1596808Z [2022-11-23 01:29:02,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.1597389Z [2022-11-23 01:29:02,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:38.1597660Z [2022-11-23 01:29:02,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2963
2022-11-23T01:32:38.1597990Z [2022-11-23 01:29:02,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1598418Z [2022-11-23 01:29:02,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1598801Z [2022-11-23 01:29:02,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d)]
2022-11-23T01:32:38.1599224Z [2022-11-23 01:29:02,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()]
2022-11-23T01:32:38.1599749Z [2022-11-23 01:29:02,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:38.1600288Z [2022-11-23 01:29:02,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float)]
2022-11-23T01:32:38.1600785Z [2022-11-23 01:29:02,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(NoneType), ListVariable()]
2022-11-23T01:32:38.1601145Z [2022-11-23 01:29:02,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1601390Z [2022-11-23 01:29:02,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1601728Z [2022-11-23 01:29:02,647] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6423ed0, file "inductor/test_torchinductor.py", line 2957>
2022-11-23T01:32:38.1601972Z [2022-11-23 01:29:02,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1604182Z [2022-11-23 01:29:02,647] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.1604568Z [2022-11-23 01:29:02,649] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.1604981Z [2022-11-23 01:29:02,656] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.1605290Z [2022-11-23 01:29:02,656] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.1605504Z  __compiled_fn_415 <eval_with_key>.2564 opcode, name, target, args, kwargs
2022-11-23T01:32:38.1605652Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.1605885Z call_function, upsample_nearest1d, aten.upsample_nearest1d, (ex_0_, [74], None), {}
2022-11-23T01:32:38.1606143Z call_function, upsample_nearest1d_1, aten.upsample_nearest1d, (ex_0_, [70], None), {}
2022-11-23T01:32:38.1606351Z call_function, upsample_nearest1d_2, aten.upsample_nearest1d, (ex_0_, [45], None), {}
2022-11-23T01:32:38.1606680Z call_function, upsample_nearest1d_3, aten.upsample_nearest1d, (ex_0_, [36], None), {}
2022-11-23T01:32:38.1606908Z call_function, upsample_nearest1d_4, aten.upsample_nearest1d, (ex_0_, None, [2.0]), {}
2022-11-23T01:32:38.1607209Z output, output, output, ((upsample_nearest1d, upsample_nearest1d_1, upsample_nearest1d_2, upsample_nearest1d_3, upsample_nearest1d_4),), {}
2022-11-23T01:32:38.1607236Z 
2022-11-23T01:32:38.1607685Z [2022-11-23 01:29:02,657] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1607826Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1607952Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1608090Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.1608248Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.1608360Z               8 RETURN_VALUE
2022-11-23T01:32:38.1608368Z 
2022-11-23T01:32:38.1608450Z  
2022-11-23T01:32:38.1608866Z [2022-11-23 01:29:02,657] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1609008Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_415)
2022-11-23T01:32:38.1609128Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1609254Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1609361Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.1609451Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.1609556Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.1609657Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1609734Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1609813Z              16 BINARY_SUBSCR
2022-11-23T01:32:38.1610031Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1610120Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:38.1610195Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.1610296Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1610384Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:38.1610446Z              28 BINARY_SUBSCR
2022-11-23T01:32:38.1610546Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1610634Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:38.1610707Z              34 BINARY_SUBSCR
2022-11-23T01:32:38.1610808Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1610895Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:38.1610969Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.1611044Z              42 BUILD_TUPLE              5
2022-11-23T01:32:38.1611119Z              44 RETURN_VALUE
2022-11-23T01:32:38.1611127Z 
2022-11-23T01:32:38.1611187Z  
2022-11-23T01:32:38.1611378Z [2022-11-23 01:29:02,658] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.1611447Z  - 
2022-11-23T01:32:38.1611621Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.1611686Z             {
2022-11-23T01:32:38.1611813Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.1612001Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.1612120Z                 'obj_weakref': None
2022-11-23T01:32:38.1612346Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.1612409Z             }
2022-11-23T01:32:38.1612474Z             
2022-11-23T01:32:38.1612542Z  - 
2022-11-23T01:32:38.1612654Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.1612721Z             {
2022-11-23T01:32:38.1612864Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1612972Z                 'code': None,
2022-11-23T01:32:38.1613182Z                 'obj_weakref': <weakref at 0x7f7104e3bd70; to 'Tensor' at 0x7f70f2e142f0>
2022-11-23T01:32:38.1613432Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1613498Z             }
2022-11-23T01:32:38.1613560Z             
2022-11-23T01:32:38.1613615Z  - 
2022-11-23T01:32:38.1613746Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.1613807Z             {
2022-11-23T01:32:38.1613941Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.1614107Z                 'code': ['___check_obj_id(model, 140124018224592)'],
2022-11-23T01:32:38.1614224Z                 'obj_weakref': None
2022-11-23T01:32:38.1614437Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.1614501Z             }
2022-11-23T01:32:38.1614562Z             
2022-11-23T01:32:38.1614628Z  - 
2022-11-23T01:32:38.1614750Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.1614813Z             {
2022-11-23T01:32:38.1614951Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.1615153Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.1615273Z                 'obj_weakref': None
2022-11-23T01:32:38.1615490Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.1615556Z             }
2022-11-23T01:32:38.1615620Z             
2022-11-23T01:32:38.1615688Z  - 
2022-11-23T01:32:38.1615817Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:38.1615868Z             {
2022-11-23T01:32:38.1615985Z                 'guard_types': None,
2022-11-23T01:32:38.1616091Z                 'code': None,
2022-11-23T01:32:38.1616205Z                 'obj_weakref': None
2022-11-23T01:32:38.1616325Z                 'guarded_class': None
2022-11-23T01:32:38.1616387Z             }
2022-11-23T01:32:38.1616482Z             
2022-11-23T01:32:38.1616732Z [2022-11-23 01:29:02,669] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 407
2022-11-23T01:32:38.1617102Z [2022-11-23 01:29:05,287] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tv/ctv4t6tfywxshseeeu4kt4iexyby3ozcqurrq4qyb5kt2bv3lci5.py
2022-11-23T01:32:38.1617370Z [2022-11-23 01:29:05,288] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 407
2022-11-23T01:32:38.1617376Z 
2022-11-23T01:32:38.1617470Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.1617542Z import torch
2022-11-23T01:32:38.1617611Z import random
2022-11-23T01:32:38.1617726Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.1617848Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.1617854Z 
2022-11-23T01:32:38.1617919Z aten = torch.ops.aten
2022-11-23T01:32:38.1618052Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.1618145Z async_compile = AsyncCompile()
2022-11-23T01:32:38.1618151Z 
2022-11-23T01:32:38.1618155Z 
2022-11-23T01:32:38.1618291Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.1618500Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.1618664Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.1618762Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.1618858Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:38.1618937Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:38.1619029Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:38.1619120Z                        float* __restrict__ out_ptr4)
2022-11-23T01:32:38.1619180Z {
2022-11-23T01:32:38.1619278Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.1619342Z     {
2022-11-23T01:32:38.1619417Z         #pragma omp for 
2022-11-23T01:32:38.1619487Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.1619551Z         {
2022-11-23T01:32:38.1619630Z             #pragma GCC ivdep
2022-11-23T01:32:38.1619714Z             for(long i1=0; i1<74; i1+=1)
2022-11-23T01:32:38.1619779Z             {
2022-11-23T01:32:38.1619843Z                 {
2022-11-23T01:32:38.1619911Z                     {
2022-11-23T01:32:38.1620005Z                         auto tmp0 = static_cast<float>(i1);
2022-11-23T01:32:38.1620113Z                         auto tmp1 = static_cast<float>(0.5);
2022-11-23T01:32:38.1620209Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.1620315Z                         auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:32:38.1620419Z                         auto tmp4 = in_ptr0[tmp3 + (37*i0)];
2022-11-23T01:32:38.1620512Z                         out_ptr0[i1 + (74*i0)] = tmp4;
2022-11-23T01:32:38.1620611Z                         out_ptr1[i1 + (74*i0)] = tmp4;
2022-11-23T01:32:38.1620663Z                     }
2022-11-23T01:32:38.1620730Z                 }
2022-11-23T01:32:38.1620793Z             }
2022-11-23T01:32:38.1620855Z         }
2022-11-23T01:32:38.1620932Z         #pragma omp for 
2022-11-23T01:32:38.1621013Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.1621077Z         {
2022-11-23T01:32:38.1621144Z             #pragma GCC ivdep
2022-11-23T01:32:38.1621228Z             for(long i1=0; i1<70; i1+=1)
2022-11-23T01:32:38.1621292Z             {
2022-11-23T01:32:38.1621357Z                 {
2022-11-23T01:32:38.1621422Z                     {
2022-11-23T01:32:38.1621528Z                         auto tmp0 = static_cast<float>(i1);
2022-11-23T01:32:38.1621640Z                         auto tmp1 = static_cast<float>(0.5285714285714286);
2022-11-23T01:32:38.1621722Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.1621827Z                         auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:32:38.1621932Z                         auto tmp4 = in_ptr0[tmp3 + (37*i0)];
2022-11-23T01:32:38.1622088Z                         out_ptr2[i1 + (70*i0)] = tmp4;
2022-11-23T01:32:38.1622157Z                     }
2022-11-23T01:32:38.1622220Z                 }
2022-11-23T01:32:38.1622284Z             }
2022-11-23T01:32:38.1622334Z         }
2022-11-23T01:32:38.1622412Z         #pragma omp for 
2022-11-23T01:32:38.1622493Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.1622556Z         {
2022-11-23T01:32:38.1622635Z             #pragma GCC ivdep
2022-11-23T01:32:38.1622720Z             for(long i1=0; i1<45; i1+=1)
2022-11-23T01:32:38.1622771Z             {
2022-11-23T01:32:38.1622834Z                 {
2022-11-23T01:32:38.1622900Z                     {
2022-11-23T01:32:38.1623005Z                         auto tmp0 = static_cast<float>(i1);
2022-11-23T01:32:38.1623118Z                         auto tmp1 = static_cast<float>(0.8222222222222222);
2022-11-23T01:32:38.1623209Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.1623312Z                         auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:32:38.1623405Z                         auto tmp4 = in_ptr0[tmp3 + (37*i0)];
2022-11-23T01:32:38.1623500Z                         out_ptr3[i1 + (45*i0)] = tmp4;
2022-11-23T01:32:38.1623566Z                     }
2022-11-23T01:32:38.1623661Z                 }
2022-11-23T01:32:38.1623728Z             }
2022-11-23T01:32:38.1623791Z         }
2022-11-23T01:32:38.1623866Z         #pragma omp for 
2022-11-23T01:32:38.1623933Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.1623995Z         {
2022-11-23T01:32:38.1624074Z             #pragma GCC ivdep
2022-11-23T01:32:38.1624157Z             for(long i1=0; i1<36; i1+=1)
2022-11-23T01:32:38.1624219Z             {
2022-11-23T01:32:38.1624282Z                 {
2022-11-23T01:32:38.1624348Z                     {
2022-11-23T01:32:38.1624521Z                         auto tmp0 = static_cast<float>(i1);
2022-11-23T01:32:38.1624643Z                         auto tmp1 = static_cast<float>(1.0277777777777777);
2022-11-23T01:32:38.1624738Z                         auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.1624841Z                         auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:32:38.1624942Z                         auto tmp4 = in_ptr0[tmp3 + (37*i0)];
2022-11-23T01:32:38.1625038Z                         out_ptr4[i1 + (36*i0)] = tmp4;
2022-11-23T01:32:38.1625103Z                     }
2022-11-23T01:32:38.1625153Z                 }
2022-11-23T01:32:38.1625215Z             }
2022-11-23T01:32:38.1625276Z         }
2022-11-23T01:32:38.1625337Z     }
2022-11-23T01:32:38.1625396Z }
2022-11-23T01:32:38.1625483Z ''')
2022-11-23T01:32:38.1625488Z 
2022-11-23T01:32:38.1625492Z 
2022-11-23T01:32:38.1625582Z async_compile.wait(globals())
2022-11-23T01:32:38.1625641Z del async_compile
2022-11-23T01:32:38.1625646Z 
2022-11-23T01:32:38.1625715Z def call(args):
2022-11-23T01:32:38.1625783Z     arg0_1, = args
2022-11-23T01:32:38.1625854Z     args.clear()
2022-11-23T01:32:38.1626064Z     buf0 = empty_strided((2, 4, 74), (296, 74, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1626270Z     buf4 = empty_strided((2, 4, 74), (296, 74, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1626464Z     buf1 = empty_strided((2, 4, 70), (280, 70, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1626661Z     buf2 = empty_strided((2, 4, 45), (180, 45, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1626841Z     buf3 = empty_strided((2, 4, 36), (144, 36, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1627077Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:38.1627146Z     del arg0_1
2022-11-23T01:32:38.1627244Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:38.1627250Z 
2022-11-23T01:32:38.1627254Z 
2022-11-23T01:32:38.1627330Z if __name__ == "__main__":
2022-11-23T01:32:38.1627443Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.1627599Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.1627803Z     arg0_1 = rand_strided((2, 4, 37), (148, 37, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1627899Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.1627919Z 
2022-11-23T01:32:38.1627973Z ok (2.724s)
2022-11-23T01:32:38.1628319Z   test_upsample_nearest2d_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:29:05,311] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.1628593Z [2022-11-23 01:29:05,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.1628812Z [2022-11-23 01:29:05,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.1629062Z [2022-11-23 01:29:05,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.1629350Z [2022-11-23 01:29:05,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.1629673Z [2022-11-23 01:29:05,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.1630031Z [2022-11-23 01:29:05,312] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f642a300, file "inductor/test_torchinductor.py", line 2995> 
2022-11-23T01:32:38.1630126Z  2997           0 LOAD_DEREF               0 (func)
2022-11-23T01:32:38.1630204Z                2 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1630293Z                4 LOAD_CONST               1 (6)
2022-11-23T01:32:38.1630386Z                6 LOAD_CONST               2 (12)
2022-11-23T01:32:38.1630475Z                8 BUILD_LIST               2
2022-11-23T01:32:38.1630563Z               10 LOAD_CONST               3 (3)
2022-11-23T01:32:38.1630649Z               12 LOAD_CONST               3 (3)
2022-11-23T01:32:38.1630737Z               14 LOAD_CONST               3 (3)
2022-11-23T01:32:38.1630813Z               16 LOAD_CONST               1 (6)
2022-11-23T01:32:38.1630901Z               18 BUILD_LIST               4
2022-11-23T01:32:38.1631083Z               20 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T01:32:38.1631178Z               22 CALL_FUNCTION_KW         3
2022-11-23T01:32:38.1631183Z 
2022-11-23T01:32:38.1631275Z 2998          24 LOAD_DEREF               0 (func)
2022-11-23T01:32:38.1631362Z               26 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1631450Z               28 LOAD_CONST               1 (6)
2022-11-23T01:32:38.1631527Z               30 LOAD_CONST               2 (12)
2022-11-23T01:32:38.1631613Z               32 BUILD_LIST               2
2022-11-23T01:32:38.1631697Z               34 LOAD_CONST               3 (3)
2022-11-23T01:32:38.1631783Z               36 LOAD_CONST               3 (3)
2022-11-23T01:32:38.1631868Z               38 LOAD_CONST               5 (4)
2022-11-23T01:32:38.1631959Z               40 LOAD_CONST               6 (5)
2022-11-23T01:32:38.1632047Z               42 BUILD_LIST               4
2022-11-23T01:32:38.1632225Z               44 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T01:32:38.1632304Z               46 CALL_FUNCTION_KW         3
2022-11-23T01:32:38.1632308Z 
2022-11-23T01:32:38.1632399Z 2999          48 LOAD_DEREF               0 (func)
2022-11-23T01:32:38.1632486Z               50 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1632575Z               52 LOAD_CONST               1 (6)
2022-11-23T01:32:38.1632664Z               54 LOAD_CONST               2 (12)
2022-11-23T01:32:38.1632751Z               56 BUILD_LIST               2
2022-11-23T01:32:38.1632836Z               58 LOAD_CONST               3 (3)
2022-11-23T01:32:38.1632906Z               60 LOAD_CONST               3 (3)
2022-11-23T01:32:38.1632993Z               62 LOAD_CONST               7 (2)
2022-11-23T01:32:38.1633082Z               64 LOAD_CONST               8 (8)
2022-11-23T01:32:38.1633203Z               66 BUILD_LIST               4
2022-11-23T01:32:38.1633387Z               68 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T01:32:38.1633475Z               70 CALL_FUNCTION_KW         3
2022-11-23T01:32:38.1633483Z 
2022-11-23T01:32:38.1633574Z 3000          72 LOAD_DEREF               0 (func)
2022-11-23T01:32:38.1633662Z               74 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1633734Z               76 LOAD_CONST               1 (6)
2022-11-23T01:32:38.1633823Z               78 LOAD_CONST               2 (12)
2022-11-23T01:32:38.1633907Z               80 BUILD_LIST               2
2022-11-23T01:32:38.1633998Z               82 LOAD_CONST               3 (3)
2022-11-23T01:32:38.1634082Z               84 LOAD_CONST               3 (3)
2022-11-23T01:32:38.1634166Z               86 LOAD_CONST               7 (2)
2022-11-23T01:32:38.1634251Z               88 LOAD_CONST               8 (8)
2022-11-23T01:32:38.1634325Z               90 BUILD_LIST               4
2022-11-23T01:32:38.1634505Z               92 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T01:32:38.1634595Z               94 CALL_FUNCTION_KW         3
2022-11-23T01:32:38.1634599Z 
2022-11-23T01:32:38.1634721Z 3001          96 LOAD_DEREF               0 (func)
2022-11-23T01:32:38.1634807Z               98 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1634892Z              100 LOAD_CONST               1 (6)
2022-11-23T01:32:38.1634981Z              102 LOAD_CONST               2 (12)
2022-11-23T01:32:38.1635053Z              104 BUILD_LIST               2
2022-11-23T01:32:38.1635138Z              106 LOAD_CONST               3 (3)
2022-11-23T01:32:38.1635221Z              108 LOAD_CONST               3 (3)
2022-11-23T01:32:38.1635306Z              110 LOAD_CONST               5 (4)
2022-11-23T01:32:38.1635389Z              112 LOAD_CONST               9 (7)
2022-11-23T01:32:38.1635473Z              114 BUILD_LIST               4
2022-11-23T01:32:38.1635653Z              116 LOAD_CONST               4 (('output_size', 'input_size'))
2022-11-23T01:32:38.1635742Z              118 CALL_FUNCTION_KW         3
2022-11-23T01:32:38.1635816Z              120 BUILD_TUPLE              5
2022-11-23T01:32:38.1635898Z              122 RETURN_VALUE
2022-11-23T01:32:38.1635963Z  
2022-11-23T01:32:38.1635968Z 
2022-11-23T01:32:38.1636239Z [2022-11-23 01:29:05,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2997
2022-11-23T01:32:38.1636457Z [2022-11-23 01:29:05,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func []
2022-11-23T01:32:38.1636746Z [2022-11-23 01:29:05,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T01:32:38.1637063Z [2022-11-23 01:29:05,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T01:32:38.1637580Z [2022-11-23 01:29:05,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1637975Z [2022-11-23 01:29:05,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1638305Z [2022-11-23 01:29:05,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.1638688Z [2022-11-23 01:29:05,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1639106Z [2022-11-23 01:29:05,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1639625Z [2022-11-23 01:29:05,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1640124Z [2022-11-23 01:29:05,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1640529Z [2022-11-23 01:29:05,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:38.1640945Z [2022-11-23 01:29:05,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:38.1641215Z [2022-11-23 01:29:05,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2998
2022-11-23T01:32:38.1641458Z [2022-11-23 01:29:05,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable()]
2022-11-23T01:32:38.1641820Z [2022-11-23 01:29:05,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T01:32:38.1642167Z [2022-11-23 01:29:05,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T01:32:38.1642550Z [2022-11-23 01:29:05,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1642976Z [2022-11-23 01:29:05,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1643344Z [2022-11-23 01:29:05,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.1643755Z [2022-11-23 01:29:05,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1644187Z [2022-11-23 01:29:05,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1644672Z [2022-11-23 01:29:05,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1645190Z [2022-11-23 01:29:05,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1645627Z [2022-11-23 01:29:05,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:38.1646075Z [2022-11-23 01:29:05,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:38.1646375Z [2022-11-23 01:29:05,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2999
2022-11-23T01:32:38.1646647Z [2022-11-23 01:29:05,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1646993Z [2022-11-23 01:29:05,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T01:32:38.1647363Z [2022-11-23 01:29:05,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T01:32:38.1647776Z [2022-11-23 01:29:05,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1648231Z [2022-11-23 01:29:05,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1648628Z [2022-11-23 01:29:05,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.1649094Z [2022-11-23 01:29:05,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1649569Z [2022-11-23 01:29:05,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1650078Z [2022-11-23 01:29:05,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1650625Z [2022-11-23 01:29:05,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1651091Z [2022-11-23 01:29:05,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:38.1651567Z [2022-11-23 01:29:05,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:38.1651820Z [2022-11-23 01:29:05,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3000
2022-11-23T01:32:38.1652117Z [2022-11-23 01:29:05,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1652487Z [2022-11-23 01:29:05,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T01:32:38.1652888Z [2022-11-23 01:29:05,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T01:32:38.1653365Z [2022-11-23 01:29:05,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1653847Z [2022-11-23 01:29:05,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1654272Z [2022-11-23 01:29:05,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.1654732Z [2022-11-23 01:29:05,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1655233Z [2022-11-23 01:29:05,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1655772Z [2022-11-23 01:29:05,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1656381Z [2022-11-23 01:29:05,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1656876Z [2022-11-23 01:29:05,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:38.1657381Z [2022-11-23 01:29:05,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:38.1657650Z [2022-11-23 01:29:05,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3001
2022-11-23T01:32:38.1657973Z [2022-11-23 01:29:05,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1658370Z [2022-11-23 01:29:05,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)]
2022-11-23T01:32:38.1658798Z [2022-11-23 01:29:05,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()]
2022-11-23T01:32:38.1659267Z [2022-11-23 01:29:05,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1659777Z [2022-11-23 01:29:05,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1660232Z [2022-11-23 01:29:05,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.1660742Z [2022-11-23 01:29:05,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1661274Z [2022-11-23 01:29:05,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1661836Z [2022-11-23 01:29:05,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1662431Z [2022-11-23 01:29:05,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1663015Z [2022-11-23 01:29:05,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()]
2022-11-23T01:32:38.1663551Z [2022-11-23 01:29:05,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)]
2022-11-23T01:32:38.1663903Z [2022-11-23 01:29:05,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1664152Z [2022-11-23 01:29:05,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1664564Z [2022-11-23 01:29:05,379] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f642a300, file "inductor/test_torchinductor.py", line 2995>
2022-11-23T01:32:38.1664816Z [2022-11-23 01:29:05,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1665049Z [2022-11-23 01:29:05,379] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.1665303Z [2022-11-23 01:29:05,383] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.1665552Z [2022-11-23 01:29:05,393] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.1665740Z [2022-11-23 01:29:05,394] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.1665862Z  __compiled_fn_416 <eval_with_key>.2570 opcode, name, target, args, kwargs
2022-11-23T01:32:38.1665951Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.1666257Z call_function, upsample_nearest2d_backward, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 3, 6]}
2022-11-23T01:32:38.1666561Z call_function, upsample_nearest2d_backward_1, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 4, 5]}
2022-11-23T01:32:38.1666863Z call_function, upsample_nearest2d_backward_2, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 2, 8]}
2022-11-23T01:32:38.1667162Z call_function, upsample_nearest2d_backward_3, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 2, 8]}
2022-11-23T01:32:38.1667509Z call_function, upsample_nearest2d_backward_4, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 4, 7]}
2022-11-23T01:32:38.1667771Z output, output, output, ((upsample_nearest2d_backward, upsample_nearest2d_backward_1, upsample_nearest2d_backward_2, upsample_nearest2d_backward_3, upsample_nearest2d_backward_4),), {}
2022-11-23T01:32:38.1667780Z 
2022-11-23T01:32:38.1668059Z [2022-11-23 01:29:05,395] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1668152Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1668231Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1668324Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.1668414Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.1668491Z               8 RETURN_VALUE
2022-11-23T01:32:38.1668498Z 
2022-11-23T01:32:38.1668557Z  
2022-11-23T01:32:38.1668828Z [2022-11-23 01:29:05,395] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1668938Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_416)
2022-11-23T01:32:38.1669027Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1669103Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1669209Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.1669297Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.1669401Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.1669528Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.1669623Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.1669712Z              16 CALL_FUNCTION            0
2022-11-23T01:32:38.1669795Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.1669894Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1669984Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1670062Z              24 BINARY_SUBSCR
2022-11-23T01:32:38.1670165Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1670252Z              28 LOAD_CONST               2 (1)
2022-11-23T01:32:38.1670326Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.1670417Z              32 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1670505Z              34 LOAD_CONST               3 (2)
2022-11-23T01:32:38.1670581Z              36 BINARY_SUBSCR
2022-11-23T01:32:38.1670683Z              38 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1670770Z              40 LOAD_CONST               4 (3)
2022-11-23T01:32:38.1670845Z              42 BINARY_SUBSCR
2022-11-23T01:32:38.1670943Z              44 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1671028Z              46 LOAD_CONST               5 (4)
2022-11-23T01:32:38.1671090Z              48 BINARY_SUBSCR
2022-11-23T01:32:38.1671179Z              50 BUILD_TUPLE              5
2022-11-23T01:32:38.1671273Z              52 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1671405Z              54 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.1671491Z              56 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1671565Z              58 BINARY_SUBSCR
2022-11-23T01:32:38.1671668Z              60 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.1671746Z              62 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1671843Z              64 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.1671929Z              66 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1672004Z              68 BINARY_SUBSCR
2022-11-23T01:32:38.1672104Z              70 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.1672178Z              72 RETURN_VALUE
2022-11-23T01:32:38.1672183Z 
2022-11-23T01:32:38.1672244Z  
2022-11-23T01:32:38.1672417Z [2022-11-23 01:29:05,397] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.1672486Z  - 
2022-11-23T01:32:38.1672635Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.1672701Z             {
2022-11-23T01:32:38.1672842Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.1673028Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.1673149Z                 'obj_weakref': None
2022-11-23T01:32:38.1673357Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.1673422Z             }
2022-11-23T01:32:38.1673484Z             
2022-11-23T01:32:38.1673553Z  - 
2022-11-23T01:32:38.1673676Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.1673738Z             {
2022-11-23T01:32:38.1673879Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1673971Z                 'code': None,
2022-11-23T01:32:38.1674182Z                 'obj_weakref': <weakref at 0x7f710ce3ac50; to 'Tensor' at 0x7f70f121ca70>
2022-11-23T01:32:38.1674432Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1674494Z             }
2022-11-23T01:32:38.1674558Z             
2022-11-23T01:32:38.1674625Z  - 
2022-11-23T01:32:38.1674754Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.1674835Z             {
2022-11-23T01:32:38.1674969Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.1675136Z                 'code': ['___check_obj_id(model, 140123415702128)'],
2022-11-23T01:32:38.1675254Z                 'obj_weakref': None
2022-11-23T01:32:38.1675481Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.1675544Z             }
2022-11-23T01:32:38.1675606Z             
2022-11-23T01:32:38.1675662Z  - 
2022-11-23T01:32:38.1675780Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.1675843Z             {
2022-11-23T01:32:38.1675979Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.1676200Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.1676317Z                 'obj_weakref': None
2022-11-23T01:32:38.1676535Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.1676590Z             }
2022-11-23T01:32:38.1676652Z             
2022-11-23T01:32:38.1676720Z  - 
2022-11-23T01:32:38.1676901Z             local 'model.__closure__[0].cell_contents' FUNCTION_MATCH
2022-11-23T01:32:38.1676964Z             {
2022-11-23T01:32:38.1677097Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.1677420Z                 'code': ['___check_obj_id(model.__closure__[0].cell_contents, 140126552260816)'],
2022-11-23T01:32:38.1677640Z                 'obj_weakref': <weakref at 0x7f70f1622f50; to 'OpOverloadPacket' at 0x7f71c15f00d0>
2022-11-23T01:32:38.1677890Z                 'guarded_class': <weakref at 0x7f71ce12a590; to 'type' at 0x6190009cb8a0 (OpOverloadPacket)>
2022-11-23T01:32:38.1677954Z             }
2022-11-23T01:32:38.1678019Z             
2022-11-23T01:32:38.1678280Z [2022-11-23 01:29:05,418] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 408
2022-11-23T01:32:38.1678285Z 
2022-11-23T01:32:38.1678380Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.1678448Z import torch
2022-11-23T01:32:38.1678516Z import random
2022-11-23T01:32:38.1678618Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.1678739Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.1678744Z 
2022-11-23T01:32:38.1678821Z aten = torch.ops.aten
2022-11-23T01:32:38.1678955Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.1679045Z async_compile = AsyncCompile()
2022-11-23T01:32:38.1679051Z 
2022-11-23T01:32:38.1679055Z 
2022-11-23T01:32:38.1679189Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.1679392Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.1679559Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.1679683Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.1679779Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:38.1679875Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:38.1679969Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:38.1680060Z                        float* __restrict__ out_ptr4)
2022-11-23T01:32:38.1680120Z {
2022-11-23T01:32:38.1680217Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.1680266Z     {
2022-11-23T01:32:38.1680342Z         #pragma omp for 
2022-11-23T01:32:38.1680424Z         for(long i0=0; i0<9; i0+=1)
2022-11-23T01:32:38.1680487Z         {
2022-11-23T01:32:38.1680567Z             #pragma GCC ivdep
2022-11-23T01:32:38.1680650Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:38.1680713Z             {
2022-11-23T01:32:38.1680781Z                 #pragma GCC ivdep
2022-11-23T01:32:38.1680871Z                 for(long i2=0; i2<5; i2+=1)
2022-11-23T01:32:38.1680935Z                 {
2022-11-23T01:32:38.1681001Z                     {
2022-11-23T01:32:38.1681070Z                         {
2022-11-23T01:32:38.1681225Z                             auto tmp0 = static_cast<long>(((3 + (6*i1)) / 4));
2022-11-23T01:32:38.1681343Z                             auto tmp1 = static_cast<long>(((9 + (6*i1)) / 4));
2022-11-23T01:32:38.1681426Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:38.1681543Z                             auto tmp3 = static_cast<long>(((4 + (12*i2)) / 5));
2022-11-23T01:32:38.1681660Z                             auto tmp4 = static_cast<long>(((16 + (12*i2)) / 5));
2022-11-23T01:32:38.1681753Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T01:32:38.1681846Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T01:32:38.1681932Z                             float tmp7 = 0.0;
2022-11-23T01:32:38.1682009Z                             if(tmp6)
2022-11-23T01:32:38.1682067Z                             {
2022-11-23T01:32:38.1682194Z                                 auto tmp8 = in_ptr0[(12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2022-11-23T01:32:38.1682283Z                                 tmp7 = tmp8;
2022-11-23T01:32:38.1682352Z                             }
2022-11-23T01:32:38.1682470Z                             auto tmp9 = static_cast<long>(1 + (((4 + (12*i2)) / 5)));
2022-11-23T01:32:38.1682565Z                             auto tmp10 = tmp9 < tmp4;
2022-11-23T01:32:38.1682662Z                             auto tmp11 = tmp2 & tmp10;
2022-11-23T01:32:38.1682752Z                             float tmp12 = 0.0;
2022-11-23T01:32:38.1682816Z                             if(tmp11)
2022-11-23T01:32:38.1682886Z                             {
2022-11-23T01:32:38.1683012Z                                 auto tmp13 = in_ptr0[1 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2022-11-23T01:32:38.1683101Z                                 tmp12 = tmp13;
2022-11-23T01:32:38.1683171Z                             }
2022-11-23T01:32:38.1683266Z                             auto tmp14 = tmp12 + tmp7;
2022-11-23T01:32:38.1683389Z                             auto tmp15 = static_cast<long>(2 + (((4 + (12*i2)) / 5)));
2022-11-23T01:32:38.1683474Z                             auto tmp16 = tmp15 < tmp4;
2022-11-23T01:32:38.1683570Z                             auto tmp17 = tmp2 & tmp16;
2022-11-23T01:32:38.1683659Z                             float tmp18 = 0.0;
2022-11-23T01:32:38.1683736Z                             if(tmp17)
2022-11-23T01:32:38.1683805Z                             {
2022-11-23T01:32:38.1683932Z                                 auto tmp19 = in_ptr0[2 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2022-11-23T01:32:38.1684017Z                                 tmp18 = tmp19;
2022-11-23T01:32:38.1684085Z                             }
2022-11-23T01:32:38.1684169Z                             auto tmp20 = tmp18 + tmp14;
2022-11-23T01:32:38.1684318Z                             auto tmp21 = static_cast<long>(1 + (((3 + (6*i1)) / 4)));
2022-11-23T01:32:38.1684416Z                             auto tmp22 = tmp21 < tmp1;
2022-11-23T01:32:38.1684513Z                             auto tmp23 = tmp22 & tmp5;
2022-11-23T01:32:38.1684604Z                             float tmp24 = 0.0;
2022-11-23T01:32:38.1684681Z                             if(tmp23)
2022-11-23T01:32:38.1684749Z                             {
2022-11-23T01:32:38.1684865Z                                 auto tmp25 = in_ptr0[12 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2022-11-23T01:32:38.1684950Z                                 tmp24 = tmp25;
2022-11-23T01:32:38.1685019Z                             }
2022-11-23T01:32:38.1685118Z                             auto tmp26 = tmp24 + tmp20;
2022-11-23T01:32:38.1685214Z                             auto tmp27 = tmp22 & tmp10;
2022-11-23T01:32:38.1685302Z                             float tmp28 = 0.0;
2022-11-23T01:32:38.1685381Z                             if(tmp27)
2022-11-23T01:32:38.1685439Z                             {
2022-11-23T01:32:38.1685567Z                                 auto tmp29 = in_ptr0[13 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2022-11-23T01:32:38.1685680Z                                 tmp28 = tmp29;
2022-11-23T01:32:38.1685749Z                             }
2022-11-23T01:32:38.1685847Z                             auto tmp30 = tmp28 + tmp26;
2022-11-23T01:32:38.1685941Z                             auto tmp31 = tmp22 & tmp16;
2022-11-23T01:32:38.1686028Z                             float tmp32 = 0.0;
2022-11-23T01:32:38.1686103Z                             if(tmp31)
2022-11-23T01:32:38.1686161Z                             {
2022-11-23T01:32:38.1686287Z                                 auto tmp33 = in_ptr0[14 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))];
2022-11-23T01:32:38.1686372Z                                 tmp32 = tmp33;
2022-11-23T01:32:38.1686445Z                             }
2022-11-23T01:32:38.1686540Z                             auto tmp34 = tmp32 + tmp30;
2022-11-23T01:32:38.1686646Z                             out_ptr0[i2 + (5*i1) + (20*i0)] = tmp34;
2022-11-23T01:32:38.1686717Z                         }
2022-11-23T01:32:38.1686770Z                     }
2022-11-23T01:32:38.1686834Z                 }
2022-11-23T01:32:38.1686898Z             }
2022-11-23T01:32:38.1686963Z         }
2022-11-23T01:32:38.1687040Z         #pragma omp for 
2022-11-23T01:32:38.1687121Z         for(long i0=0; i0<27; i0+=1)
2022-11-23T01:32:38.1687186Z         {
2022-11-23T01:32:38.1687253Z             #pragma GCC ivdep
2022-11-23T01:32:38.1687335Z             for(long i1=0; i1<6; i1+=1)
2022-11-23T01:32:38.1687398Z             {
2022-11-23T01:32:38.1687461Z                 {
2022-11-23T01:32:38.1687526Z                     {
2022-11-23T01:32:38.1687631Z                         auto tmp0 = in_ptr0[(2*i1) + (24*i0)];
2022-11-23T01:32:38.1687726Z                         auto tmp1 = in_ptr0[1 + (2*i1) + (24*i0)];
2022-11-23T01:32:38.1687832Z                         auto tmp3 = in_ptr0[12 + (2*i1) + (24*i0)];
2022-11-23T01:32:38.1687931Z                         auto tmp5 = in_ptr0[13 + (2*i1) + (24*i0)];
2022-11-23T01:32:38.1688028Z                         auto tmp2 = tmp1 + tmp0;
2022-11-23T01:32:38.1688121Z                         auto tmp4 = tmp3 + tmp2;
2022-11-23T01:32:38.1688212Z                         auto tmp6 = tmp5 + tmp4;
2022-11-23T01:32:38.1688312Z                         auto tmp7 = static_cast<float>(1.0);
2022-11-23T01:32:38.1695872Z                         auto tmp8 = tmp6 * tmp7;
2022-11-23T01:32:38.1696001Z                         out_ptr1[i1 + (6*i0)] = tmp8;
2022-11-23T01:32:38.1696072Z                     }
2022-11-23T01:32:38.1696139Z                 }
2022-11-23T01:32:38.1696204Z             }
2022-11-23T01:32:38.1696268Z         }
2022-11-23T01:32:38.1696335Z         #pragma omp for 
2022-11-23T01:32:38.1696417Z         for(long i0=0; i0<9; i0+=1)
2022-11-23T01:32:38.1696585Z         {
2022-11-23T01:32:38.1696670Z             #pragma GCC ivdep
2022-11-23T01:32:38.1696755Z             for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:38.1696818Z             {
2022-11-23T01:32:38.1696890Z                 #pragma GCC ivdep
2022-11-23T01:32:38.1696980Z                 for(long i2=0; i2<8; i2+=1)
2022-11-23T01:32:38.1697045Z                 {
2022-11-23T01:32:38.1697113Z                     {
2022-11-23T01:32:38.1697184Z                         {
2022-11-23T01:32:38.1697294Z                             auto tmp0 = static_cast<long>(3*i1);
2022-11-23T01:32:38.1697411Z                             auto tmp1 = static_cast<long>(3 + (3*i1));
2022-11-23T01:32:38.1697495Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:38.1697614Z                             auto tmp3 = static_cast<long>(((7 + (12*i2)) / 8));
2022-11-23T01:32:38.1697732Z                             auto tmp4 = static_cast<long>(((19 + (12*i2)) / 8));
2022-11-23T01:32:38.1697829Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T01:32:38.1697921Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T01:32:38.1698008Z                             float tmp7 = 0.0;
2022-11-23T01:32:38.1698128Z                             if(tmp6)
2022-11-23T01:32:38.1698197Z                             {
2022-11-23T01:32:38.1698306Z                                 auto tmp8 = in_ptr0[(36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:32:38.1698391Z                                 tmp7 = tmp8;
2022-11-23T01:32:38.1698461Z                             }
2022-11-23T01:32:38.1698581Z                             auto tmp9 = static_cast<long>(1 + (((7 + (12*i2)) / 8)));
2022-11-23T01:32:38.1698678Z                             auto tmp10 = tmp9 < tmp4;
2022-11-23T01:32:38.1698774Z                             auto tmp11 = tmp2 & tmp10;
2022-11-23T01:32:38.1698863Z                             float tmp12 = 0.0;
2022-11-23T01:32:38.1698928Z                             if(tmp11)
2022-11-23T01:32:38.1698998Z                             {
2022-11-23T01:32:38.1699122Z                                 auto tmp13 = in_ptr0[1 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:32:38.1699207Z                                 tmp12 = tmp13;
2022-11-23T01:32:38.1699278Z                             }
2022-11-23T01:32:38.1699374Z                             auto tmp14 = tmp12 + tmp7;
2022-11-23T01:32:38.1699486Z                             auto tmp15 = static_cast<long>(1 + (3*i1));
2022-11-23T01:32:38.1699584Z                             auto tmp16 = tmp15 < tmp1;
2022-11-23T01:32:38.1699666Z                             auto tmp17 = tmp16 & tmp5;
2022-11-23T01:32:38.1699753Z                             float tmp18 = 0.0;
2022-11-23T01:32:38.1699830Z                             if(tmp17)
2022-11-23T01:32:38.1699898Z                             {
2022-11-23T01:32:38.1700020Z                                 auto tmp19 = in_ptr0[12 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:32:38.1700107Z                                 tmp18 = tmp19;
2022-11-23T01:32:38.1700175Z                             }
2022-11-23T01:32:38.1700260Z                             auto tmp20 = tmp18 + tmp14;
2022-11-23T01:32:38.1700355Z                             auto tmp21 = tmp16 & tmp10;
2022-11-23T01:32:38.1700447Z                             float tmp22 = 0.0;
2022-11-23T01:32:38.1700522Z                             if(tmp21)
2022-11-23T01:32:38.1700591Z                             {
2022-11-23T01:32:38.1700711Z                                 auto tmp23 = in_ptr0[13 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:32:38.1700795Z                                 tmp22 = tmp23;
2022-11-23T01:32:38.1700851Z                             }
2022-11-23T01:32:38.1700946Z                             auto tmp24 = tmp22 + tmp20;
2022-11-23T01:32:38.1701059Z                             auto tmp25 = static_cast<long>(2 + (3*i1));
2022-11-23T01:32:38.1701153Z                             auto tmp26 = tmp25 < tmp1;
2022-11-23T01:32:38.1701281Z                             auto tmp27 = tmp26 & tmp5;
2022-11-23T01:32:38.1701372Z                             float tmp28 = 0.0;
2022-11-23T01:32:38.1701448Z                             if(tmp27)
2022-11-23T01:32:38.1701519Z                             {
2022-11-23T01:32:38.1701628Z                                 auto tmp29 = in_ptr0[24 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:32:38.1701713Z                                 tmp28 = tmp29;
2022-11-23T01:32:38.1701781Z                             }
2022-11-23T01:32:38.1701878Z                             auto tmp30 = tmp28 + tmp24;
2022-11-23T01:32:38.1701973Z                             auto tmp31 = tmp26 & tmp10;
2022-11-23T01:32:38.1702059Z                             float tmp32 = 0.0;
2022-11-23T01:32:38.1702135Z                             if(tmp31)
2022-11-23T01:32:38.1702191Z                             {
2022-11-23T01:32:38.1702311Z                                 auto tmp33 = in_ptr0[25 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:32:38.1702394Z                                 tmp32 = tmp33;
2022-11-23T01:32:38.1702462Z                             }
2022-11-23T01:32:38.1702558Z                             auto tmp34 = tmp32 + tmp30;
2022-11-23T01:32:38.1702675Z                             float tmp35 = 0.0;
2022-11-23T01:32:38.1702751Z                             if(tmp6)
2022-11-23T01:32:38.1702807Z                             {
2022-11-23T01:32:38.1702927Z                                 auto tmp36 = in_ptr0[(36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:32:38.1703010Z                                 tmp35 = tmp36;
2022-11-23T01:32:38.1703077Z                             }
2022-11-23T01:32:38.1703163Z                             float tmp37 = 0.0;
2022-11-23T01:32:38.1703238Z                             if(tmp11)
2022-11-23T01:32:38.1703305Z                             {
2022-11-23T01:32:38.1703414Z                                 auto tmp38 = in_ptr0[1 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:32:38.1703499Z                                 tmp37 = tmp38;
2022-11-23T01:32:38.1703567Z                             }
2022-11-23T01:32:38.1703662Z                             auto tmp39 = tmp37 + tmp35;
2022-11-23T01:32:38.1703750Z                             float tmp40 = 0.0;
2022-11-23T01:32:38.1703826Z                             if(tmp17)
2022-11-23T01:32:38.1703895Z                             {
2022-11-23T01:32:38.1704017Z                                 auto tmp41 = in_ptr0[12 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:32:38.1704088Z                                 tmp40 = tmp41;
2022-11-23T01:32:38.1704157Z                             }
2022-11-23T01:32:38.1704253Z                             auto tmp42 = tmp40 + tmp39;
2022-11-23T01:32:38.1704339Z                             float tmp43 = 0.0;
2022-11-23T01:32:38.1704414Z                             if(tmp21)
2022-11-23T01:32:38.1704572Z                             {
2022-11-23T01:32:38.1704698Z                                 auto tmp44 = in_ptr0[13 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:32:38.1704769Z                                 tmp43 = tmp44;
2022-11-23T01:32:38.1704838Z                             }
2022-11-23T01:32:38.1704939Z                             auto tmp45 = tmp43 + tmp42;
2022-11-23T01:32:38.1705026Z                             float tmp46 = 0.0;
2022-11-23T01:32:38.1705104Z                             if(tmp27)
2022-11-23T01:32:38.1705173Z                             {
2022-11-23T01:32:38.1705294Z                                 auto tmp47 = in_ptr0[24 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:32:38.1705365Z                                 tmp46 = tmp47;
2022-11-23T01:32:38.1705435Z                             }
2022-11-23T01:32:38.1705532Z                             auto tmp48 = tmp46 + tmp45;
2022-11-23T01:32:38.1705620Z                             float tmp49 = 0.0;
2022-11-23T01:32:38.1705697Z                             if(tmp31)
2022-11-23T01:32:38.1705799Z                             {
2022-11-23T01:32:38.1705922Z                                 auto tmp50 = in_ptr0[25 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))];
2022-11-23T01:32:38.1706004Z                                 tmp49 = tmp50;
2022-11-23T01:32:38.1706063Z                             }
2022-11-23T01:32:38.1706160Z                             auto tmp51 = tmp49 + tmp48;
2022-11-23T01:32:38.1706265Z                             out_ptr2[i2 + (8*i1) + (16*i0)] = tmp34;
2022-11-23T01:32:38.1706363Z                             out_ptr3[i2 + (8*i1) + (16*i0)] = tmp51;
2022-11-23T01:32:38.1706431Z                         }
2022-11-23T01:32:38.1706496Z                     }
2022-11-23T01:32:38.1706558Z                 }
2022-11-23T01:32:38.1706608Z             }
2022-11-23T01:32:38.1706670Z         }
2022-11-23T01:32:38.1706746Z         #pragma omp for 
2022-11-23T01:32:38.1706827Z         for(long i0=0; i0<9; i0+=1)
2022-11-23T01:32:38.1706889Z         {
2022-11-23T01:32:38.1706969Z             #pragma GCC ivdep
2022-11-23T01:32:38.1707039Z             for(long i1=0; i1<4; i1+=1)
2022-11-23T01:32:38.1707104Z             {
2022-11-23T01:32:38.1707187Z                 #pragma GCC ivdep
2022-11-23T01:32:38.1707275Z                 for(long i2=0; i2<7; i2+=1)
2022-11-23T01:32:38.1707370Z                 {
2022-11-23T01:32:38.1707436Z                     {
2022-11-23T01:32:38.1707504Z                         {
2022-11-23T01:32:38.1707612Z                             auto tmp0 = static_cast<long>(((3 + (6*i1)) / 4));
2022-11-23T01:32:38.1707727Z                             auto tmp1 = static_cast<long>(((9 + (6*i1)) / 4));
2022-11-23T01:32:38.1707823Z                             auto tmp2 = tmp0 < tmp1;
2022-11-23T01:32:38.1707938Z                             auto tmp3 = static_cast<long>(((6 + (12*i2)) / 7));
2022-11-23T01:32:38.1708053Z                             auto tmp4 = static_cast<long>(((18 + (12*i2)) / 7));
2022-11-23T01:32:38.1708147Z                             auto tmp5 = tmp3 < tmp4;
2022-11-23T01:32:38.1708242Z                             auto tmp6 = tmp2 & tmp5;
2022-11-23T01:32:38.1708331Z                             float tmp7 = 0.0;
2022-11-23T01:32:38.1708394Z                             if(tmp6)
2022-11-23T01:32:38.1708466Z                             {
2022-11-23T01:32:38.1708591Z                                 auto tmp8 = in_ptr0[(12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))];
2022-11-23T01:32:38.1708676Z                                 tmp7 = tmp8;
2022-11-23T01:32:38.1708744Z                             }
2022-11-23T01:32:38.1708863Z                             auto tmp9 = static_cast<long>(1 + (((6 + (12*i2)) / 7)));
2022-11-23T01:32:38.1708958Z                             auto tmp10 = tmp9 < tmp4;
2022-11-23T01:32:38.1709041Z                             auto tmp11 = tmp2 & tmp10;
2022-11-23T01:32:38.1709128Z                             float tmp12 = 0.0;
2022-11-23T01:32:38.1709204Z                             if(tmp11)
2022-11-23T01:32:38.1709273Z                             {
2022-11-23T01:32:38.1709403Z                                 auto tmp13 = in_ptr0[1 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))];
2022-11-23T01:32:38.1709488Z                                 tmp12 = tmp13;
2022-11-23T01:32:38.1709558Z                             }
2022-11-23T01:32:38.1709641Z                             auto tmp14 = tmp12 + tmp7;
2022-11-23T01:32:38.1709759Z                             auto tmp15 = static_cast<long>(1 + (((3 + (6*i1)) / 4)));
2022-11-23T01:32:38.1709853Z                             auto tmp16 = tmp15 < tmp1;
2022-11-23T01:32:38.1709947Z                             auto tmp17 = tmp16 & tmp5;
2022-11-23T01:32:38.1710035Z                             float tmp18 = 0.0;
2022-11-23T01:32:38.1710112Z                             if(tmp17)
2022-11-23T01:32:38.1710182Z                             {
2022-11-23T01:32:38.1710309Z                                 auto tmp19 = in_ptr0[12 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))];
2022-11-23T01:32:38.1710427Z                                 tmp18 = tmp19;
2022-11-23T01:32:38.1710496Z                             }
2022-11-23T01:32:38.1710593Z                             auto tmp20 = tmp18 + tmp14;
2022-11-23T01:32:38.1710689Z                             auto tmp21 = tmp16 & tmp10;
2022-11-23T01:32:38.1710776Z                             float tmp22 = 0.0;
2022-11-23T01:32:38.1710850Z                             if(tmp21)
2022-11-23T01:32:38.1710917Z                             {
2022-11-23T01:32:38.1711033Z                                 auto tmp23 = in_ptr0[13 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))];
2022-11-23T01:32:38.1711120Z                                 tmp22 = tmp23;
2022-11-23T01:32:38.1711187Z                             }
2022-11-23T01:32:38.1711282Z                             auto tmp24 = tmp22 + tmp20;
2022-11-23T01:32:38.1711389Z                             out_ptr4[i2 + (7*i1) + (28*i0)] = tmp24;
2022-11-23T01:32:38.1711458Z                         }
2022-11-23T01:32:38.1711527Z                     }
2022-11-23T01:32:38.1711579Z                 }
2022-11-23T01:32:38.1711642Z             }
2022-11-23T01:32:38.1711706Z         }
2022-11-23T01:32:38.1711768Z     }
2022-11-23T01:32:38.1711878Z }
2022-11-23T01:32:38.1711997Z ''')
2022-11-23T01:32:38.1712005Z 
2022-11-23T01:32:38.1712009Z 
2022-11-23T01:32:38.1712101Z async_compile.wait(globals())
2022-11-23T01:32:38.1712160Z del async_compile
2022-11-23T01:32:38.1712178Z 
2022-11-23T01:32:38.1712234Z def call(args):
2022-11-23T01:32:38.1712305Z     arg0_1, = args
2022-11-23T01:32:38.1712378Z     args.clear()
2022-11-23T01:32:38.1712601Z     buf0 = empty_strided((3, 3, 4, 5), (60, 20, 5, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1712810Z     buf1 = empty_strided((3, 3, 3, 6), (54, 18, 6, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1713024Z     buf2 = empty_strided((3, 3, 2, 8), (48, 16, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1713229Z     buf3 = empty_strided((3, 3, 2, 8), (48, 16, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1713421Z     buf4 = empty_strided((3, 3, 4, 7), (84, 28, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1713658Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()))
2022-11-23T01:32:38.1713728Z     del arg0_1
2022-11-23T01:32:38.1713825Z     return (buf1, buf0, buf2, buf3, buf4, )
2022-11-23T01:32:38.1713832Z 
2022-11-23T01:32:38.1713836Z 
2022-11-23T01:32:38.1713912Z if __name__ == "__main__":
2022-11-23T01:32:38.1714028Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.1714152Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.1714363Z     arg0_1 = rand_strided((3, 3, 6, 12), (216, 72, 12, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1714469Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.1714836Z [2022-11-23 01:29:08,676] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/my/cmybdlfh2ftpl5rx76zbnzgp5leupoalla6dltfi5u2lpearfiwg.py
2022-11-23T01:32:38.1715104Z [2022-11-23 01:29:08,677] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 408
2022-11-23T01:32:38.1715112Z 
2022-11-23T01:32:38.1715180Z ok (3.388s)
2022-11-23T01:32:38.1715501Z   test_upsample_nearest2d_cpu (__main__.CpuTests) ... [2022-11-23 01:29:08,710] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.1715771Z [2022-11-23 01:29:08,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.1715990Z [2022-11-23 01:29:08,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.1716245Z [2022-11-23 01:29:08,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.1716566Z [2022-11-23 01:29:08,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.1716897Z [2022-11-23 01:29:08,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.1717342Z [2022-11-23 01:29:08,712] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f642a030, file "inductor/test_torchinductor.py", line 2969> 
2022-11-23T01:32:38.1717441Z  2971           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1717554Z                2 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T01:32:38.1717647Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1717740Z                6 LOAD_CONST               1 (74)
2022-11-23T01:32:38.1717831Z                8 LOAD_CONST               2 (76)
2022-11-23T01:32:38.1717922Z               10 BUILD_LIST               2
2022-11-23T01:32:38.1718012Z               12 CALL_METHOD              2
2022-11-23T01:32:38.1718020Z 
2022-11-23T01:32:38.1718100Z 2972          14 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1718211Z               16 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T01:32:38.1718359Z               18 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1718452Z               20 LOAD_CONST               3 (70)
2022-11-23T01:32:38.1718541Z               22 LOAD_CONST               4 (75)
2022-11-23T01:32:38.1718629Z               24 BUILD_LIST               2
2022-11-23T01:32:38.1718718Z               26 CALL_METHOD              2
2022-11-23T01:32:38.1718723Z 
2022-11-23T01:32:38.1718815Z 2973          28 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1718912Z               30 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T01:32:38.1719001Z               32 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1719089Z               34 LOAD_CONST               5 (45)
2022-11-23T01:32:38.1719178Z               36 LOAD_CONST               1 (74)
2022-11-23T01:32:38.1719267Z               38 BUILD_LIST               2
2022-11-23T01:32:38.1719354Z               40 CALL_METHOD              2
2022-11-23T01:32:38.1719359Z 
2022-11-23T01:32:38.1719451Z 2974          42 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1719549Z               44 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T01:32:38.1719638Z               46 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1719725Z               48 LOAD_CONST               6 (36)
2022-11-23T01:32:38.1719816Z               50 LOAD_CONST               7 (39)
2022-11-23T01:32:38.1719902Z               52 BUILD_LIST               2
2022-11-23T01:32:38.1719989Z               54 CALL_METHOD              2
2022-11-23T01:32:38.1719993Z 
2022-11-23T01:32:38.1720084Z 2975          56 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1720193Z               58 LOAD_METHOD              1 (upsample_nearest2d)
2022-11-23T01:32:38.1720267Z               60 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1720362Z               62 LOAD_CONST               0 (None)
2022-11-23T01:32:38.1720453Z               64 LOAD_CONST               8 (2.0)
2022-11-23T01:32:38.1720544Z               66 LOAD_CONST               8 (2.0)
2022-11-23T01:32:38.1720634Z               68 BUILD_LIST               2
2022-11-23T01:32:38.1720723Z               70 CALL_METHOD              3
2022-11-23T01:32:38.1720815Z               72 BUILD_TUPLE              5
2022-11-23T01:32:38.1720878Z               74 RETURN_VALUE
2022-11-23T01:32:38.1720940Z  
2022-11-23T01:32:38.1720945Z 
2022-11-23T01:32:38.1721221Z [2022-11-23 01:29:08,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2971
2022-11-23T01:32:38.1721441Z [2022-11-23 01:29:08,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:38.1721775Z [2022-11-23 01:29:08,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1722088Z [2022-11-23 01:29:08,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest2d)]
2022-11-23T01:32:38.1722393Z [2022-11-23 01:29:08,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T01:32:38.1722740Z [2022-11-23 01:29:08,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 76 [TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1723115Z [2022-11-23 01:29:08,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1723445Z [2022-11-23 01:29:08,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.1723701Z [2022-11-23 01:29:08,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2972
2022-11-23T01:32:38.1723948Z [2022-11-23 01:29:08,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:38.1724307Z [2022-11-23 01:29:08,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1724638Z [2022-11-23 01:29:08,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest2d)]
2022-11-23T01:32:38.1724967Z [2022-11-23 01:29:08,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 70 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T01:32:38.1725331Z [2022-11-23 01:29:08,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 75 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1725740Z [2022-11-23 01:29:08,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1726097Z [2022-11-23 01:29:08,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.1726366Z [2022-11-23 01:29:08,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2973
2022-11-23T01:32:38.1726637Z [2022-11-23 01:29:08,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1727020Z [2022-11-23 01:29:08,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1727347Z [2022-11-23 01:29:08,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d)]
2022-11-23T01:32:38.1727694Z [2022-11-23 01:29:08,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T01:32:38.1728090Z [2022-11-23 01:29:08,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1728524Z [2022-11-23 01:29:08,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1728910Z [2022-11-23 01:29:08,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.1729201Z [2022-11-23 01:29:08,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2974
2022-11-23T01:32:38.1729500Z [2022-11-23 01:29:08,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1729913Z [2022-11-23 01:29:08,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1730265Z [2022-11-23 01:29:08,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d)]
2022-11-23T01:32:38.1730648Z [2022-11-23 01:29:08,780] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 36 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T01:32:38.1731077Z [2022-11-23 01:29:08,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 39 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1731566Z [2022-11-23 01:29:08,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1731983Z [2022-11-23 01:29:08,781] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.1732250Z [2022-11-23 01:29:08,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2975
2022-11-23T01:32:38.1732576Z [2022-11-23 01:29:08,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1733006Z [2022-11-23 01:29:08,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1733393Z [2022-11-23 01:29:08,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d)]
2022-11-23T01:32:38.1733813Z [2022-11-23 01:29:08,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()]
2022-11-23T01:32:38.1734276Z [2022-11-23 01:29:08,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:38.1734776Z [2022-11-23 01:29:08,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float)]
2022-11-23T01:32:38.1735327Z [2022-11-23 01:29:08,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:38.1735825Z [2022-11-23 01:29:08,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType), ListVariable()]
2022-11-23T01:32:38.1736206Z [2022-11-23 01:29:08,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1736458Z [2022-11-23 01:29:08,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1736789Z [2022-11-23 01:29:08,802] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f642a030, file "inductor/test_torchinductor.py", line 2969>
2022-11-23T01:32:38.1737032Z [2022-11-23 01:29:08,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1737264Z [2022-11-23 01:29:08,803] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.1737515Z [2022-11-23 01:29:08,806] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.1737761Z [2022-11-23 01:29:08,816] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.1737938Z [2022-11-23 01:29:08,816] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.1738072Z  __compiled_fn_417 <eval_with_key>.2576 opcode, name, target, args, kwargs
2022-11-23T01:32:38.1738189Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.1738336Z call_function, upsample_nearest2d, aten.upsample_nearest2d, (ex_0_, [74, 76]), {}
2022-11-23T01:32:38.1738482Z call_function, upsample_nearest2d_1, aten.upsample_nearest2d, (ex_0_, [70, 75]), {}
2022-11-23T01:32:38.1738623Z call_function, upsample_nearest2d_2, aten.upsample_nearest2d, (ex_0_, [45, 74]), {}
2022-11-23T01:32:38.1738759Z call_function, upsample_nearest2d_3, aten.upsample_nearest2d, (ex_0_, [36, 39]), {}
2022-11-23T01:32:38.1738913Z call_function, upsample_nearest2d_4, aten.upsample_nearest2d, (ex_0_, None, [2.0, 2.0]), {}
2022-11-23T01:32:38.1739114Z output, output, output, ((upsample_nearest2d, upsample_nearest2d_1, upsample_nearest2d_2, upsample_nearest2d_3, upsample_nearest2d_4),), {}
2022-11-23T01:32:38.1739135Z 
2022-11-23T01:32:38.1739405Z [2022-11-23 01:29:08,817] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1739497Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1739589Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1739680Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.1739770Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.1739846Z               8 RETURN_VALUE
2022-11-23T01:32:38.1739852Z 
2022-11-23T01:32:38.1739912Z  
2022-11-23T01:32:38.1740172Z [2022-11-23 01:29:08,817] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1740281Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_417)
2022-11-23T01:32:38.1740371Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1740459Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1740538Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.1740625Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.1740728Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.1740828Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1740908Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1740984Z              16 BINARY_SUBSCR
2022-11-23T01:32:38.1741084Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1741170Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:38.1741245Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.1741344Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1741431Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:38.1741493Z              28 BINARY_SUBSCR
2022-11-23T01:32:38.1741595Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1741681Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:38.1741783Z              34 BINARY_SUBSCR
2022-11-23T01:32:38.1741882Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1741968Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:38.1742046Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.1742121Z              42 BUILD_TUPLE              5
2022-11-23T01:32:38.1742194Z              44 RETURN_VALUE
2022-11-23T01:32:38.1742199Z 
2022-11-23T01:32:38.1742258Z  
2022-11-23T01:32:38.1742441Z [2022-11-23 01:29:08,819] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.1742512Z  - 
2022-11-23T01:32:38.1742634Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.1742697Z             {
2022-11-23T01:32:38.1742824Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.1743009Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.1743127Z                 'obj_weakref': None
2022-11-23T01:32:38.1743350Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.1743414Z             }
2022-11-23T01:32:38.1743478Z             
2022-11-23T01:32:38.1743544Z  - 
2022-11-23T01:32:38.1743654Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.1743745Z             {
2022-11-23T01:32:38.1743887Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1743992Z                 'code': None,
2022-11-23T01:32:38.1744200Z                 'obj_weakref': <weakref at 0x7f70f108e770; to 'Tensor' at 0x7f710ce161d0>
2022-11-23T01:32:38.1744518Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1744586Z             }
2022-11-23T01:32:38.1744637Z             
2022-11-23T01:32:38.1744709Z  - 
2022-11-23T01:32:38.1744841Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.1744905Z             {
2022-11-23T01:32:38.1745038Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.1745211Z                 'code': ['___check_obj_id(model, 140123720061728)'],
2022-11-23T01:32:38.1745328Z                 'obj_weakref': None
2022-11-23T01:32:38.1745541Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.1745606Z             }
2022-11-23T01:32:38.1745669Z             
2022-11-23T01:32:38.1745738Z  - 
2022-11-23T01:32:38.1745859Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.1745924Z             {
2022-11-23T01:32:38.1746059Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.1746260Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.1746376Z                 'obj_weakref': None
2022-11-23T01:32:38.1746592Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.1746655Z             }
2022-11-23T01:32:38.1746719Z             
2022-11-23T01:32:38.1746787Z  - 
2022-11-23T01:32:38.1746918Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:38.1746969Z             {
2022-11-23T01:32:38.1747085Z                 'guard_types': None,
2022-11-23T01:32:38.1747192Z                 'code': None,
2022-11-23T01:32:38.1747310Z                 'obj_weakref': None
2022-11-23T01:32:38.1747430Z                 'guarded_class': None
2022-11-23T01:32:38.1747491Z             }
2022-11-23T01:32:38.1747554Z             
2022-11-23T01:32:38.1747798Z [2022-11-23 01:29:08,837] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 409
2022-11-23T01:32:38.1748168Z [2022-11-23 01:29:11,527] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ta/ctauv7wjkimxbr2eokdhxx37qs6dia6agu45ub3oaxjpnuh77izz.py
2022-11-23T01:32:38.1748432Z [2022-11-23 01:29:11,528] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 409
2022-11-23T01:32:38.1748439Z 
2022-11-23T01:32:38.1748531Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.1748636Z import torch
2022-11-23T01:32:38.1748706Z import random
2022-11-23T01:32:38.1748822Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.1748942Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.1748949Z 
2022-11-23T01:32:38.1749014Z aten = torch.ops.aten
2022-11-23T01:32:38.1749147Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.1749239Z async_compile = AsyncCompile()
2022-11-23T01:32:38.1749244Z 
2022-11-23T01:32:38.1749248Z 
2022-11-23T01:32:38.1749380Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.1749586Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.1749703Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.1749802Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.1749902Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:38.1749985Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:38.1750078Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:38.1750172Z                        float* __restrict__ out_ptr4)
2022-11-23T01:32:38.1750264Z {
2022-11-23T01:32:38.1750362Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.1750423Z     {
2022-11-23T01:32:38.1750501Z         #pragma omp for 
2022-11-23T01:32:38.1750569Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.1750631Z         {
2022-11-23T01:32:38.1750711Z             #pragma GCC ivdep
2022-11-23T01:32:38.1750796Z             for(long i1=0; i1<74; i1+=1)
2022-11-23T01:32:38.1750859Z             {
2022-11-23T01:32:38.1750940Z                 #pragma GCC ivdep
2022-11-23T01:32:38.1751029Z                 for(long i2=0; i2<76; i2+=1)
2022-11-23T01:32:38.1751081Z                 {
2022-11-23T01:32:38.1751146Z                     {
2022-11-23T01:32:38.1751213Z                         {
2022-11-23T01:32:38.1751326Z                             auto tmp0 = static_cast<float>(i1);
2022-11-23T01:32:38.1751435Z                             auto tmp1 = static_cast<float>(0.5);
2022-11-23T01:32:38.1751529Z                             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.1751637Z                             auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:32:38.1751731Z                             auto tmp4 = static_cast<float>(i2);
2022-11-23T01:32:38.1751848Z                             auto tmp5 = tmp4 * tmp1;
2022-11-23T01:32:38.1751955Z                             auto tmp6 = static_cast<int>(tmp5);
2022-11-23T01:32:38.1752071Z                             auto tmp7 = in_ptr0[tmp6 + (38*tmp3) + (1406*i0)];
2022-11-23T01:32:38.1752177Z                             out_ptr0[i2 + (76*i1) + (5624*i0)] = tmp7;
2022-11-23T01:32:38.1752279Z                             out_ptr1[i2 + (76*i1) + (5624*i0)] = tmp7;
2022-11-23T01:32:38.1752347Z                         }
2022-11-23T01:32:38.1752401Z                     }
2022-11-23T01:32:38.1752465Z                 }
2022-11-23T01:32:38.1752531Z             }
2022-11-23T01:32:38.1752593Z         }
2022-11-23T01:32:38.1752669Z         #pragma omp for 
2022-11-23T01:32:38.1752750Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.1752814Z         {
2022-11-23T01:32:38.1752880Z             #pragma GCC ivdep
2022-11-23T01:32:38.1752963Z             for(long i1=0; i1<70; i1+=1)
2022-11-23T01:32:38.1753027Z             {
2022-11-23T01:32:38.1753108Z                 #pragma GCC ivdep
2022-11-23T01:32:38.1753196Z                 for(long i2=0; i2<75; i2+=1)
2022-11-23T01:32:38.1753260Z                 {
2022-11-23T01:32:38.1753327Z                     {
2022-11-23T01:32:38.1753383Z                         {
2022-11-23T01:32:38.1753489Z                             auto tmp0 = static_cast<float>(i1);
2022-11-23T01:32:38.1753604Z                             auto tmp1 = static_cast<float>(0.5285714285714286);
2022-11-23T01:32:38.1753698Z                             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.1753848Z                             auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:32:38.1753954Z                             auto tmp4 = static_cast<float>(i2);
2022-11-23T01:32:38.1754070Z                             auto tmp5 = static_cast<float>(0.5066666666666667);
2022-11-23T01:32:38.1754155Z                             auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:38.1754259Z                             auto tmp7 = static_cast<int>(tmp6);
2022-11-23T01:32:38.1754373Z                             auto tmp8 = in_ptr0[tmp7 + (38*tmp3) + (1406*i0)];
2022-11-23T01:32:38.1754478Z                             out_ptr2[i2 + (75*i1) + (5250*i0)] = tmp8;
2022-11-23T01:32:38.1754546Z                         }
2022-11-23T01:32:38.1754611Z                     }
2022-11-23T01:32:38.1754674Z                 }
2022-11-23T01:32:38.1754725Z             }
2022-11-23T01:32:38.1754786Z         }
2022-11-23T01:32:38.1754862Z         #pragma omp for 
2022-11-23T01:32:38.1754942Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.1755007Z         {
2022-11-23T01:32:38.1755089Z             #pragma GCC ivdep
2022-11-23T01:32:38.1755174Z             for(long i1=0; i1<45; i1+=1)
2022-11-23T01:32:38.1755224Z             {
2022-11-23T01:32:38.1755307Z                 #pragma GCC ivdep
2022-11-23T01:32:38.1755426Z                 for(long i2=0; i2<74; i2+=1)
2022-11-23T01:32:38.1755490Z                 {
2022-11-23T01:32:38.1755556Z                     {
2022-11-23T01:32:38.1755624Z                         {
2022-11-23T01:32:38.1755729Z                             auto tmp0 = static_cast<float>(i1);
2022-11-23T01:32:38.1755831Z                             auto tmp1 = static_cast<float>(0.8222222222222222);
2022-11-23T01:32:38.1755926Z                             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.1756031Z                             auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:32:38.1756136Z                             auto tmp4 = static_cast<float>(i2);
2022-11-23T01:32:38.1756253Z                             auto tmp5 = static_cast<float>(0.5135135135135135);
2022-11-23T01:32:38.1756346Z                             auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:38.1756450Z                             auto tmp7 = static_cast<int>(tmp6);
2022-11-23T01:32:38.1756556Z                             auto tmp8 = in_ptr0[tmp7 + (38*tmp3) + (1406*i0)];
2022-11-23T01:32:38.1756659Z                             out_ptr3[i2 + (74*i1) + (3330*i0)] = tmp8;
2022-11-23T01:32:38.1756726Z                         }
2022-11-23T01:32:38.1756791Z                     }
2022-11-23T01:32:38.1756855Z                 }
2022-11-23T01:32:38.1756918Z             }
2022-11-23T01:32:38.1756980Z         }
2022-11-23T01:32:38.1757043Z         #pragma omp for 
2022-11-23T01:32:38.1757305Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.1757367Z         {
2022-11-23T01:32:38.1757447Z             #pragma GCC ivdep
2022-11-23T01:32:38.1757531Z             for(long i1=0; i1<36; i1+=1)
2022-11-23T01:32:38.1757594Z             {
2022-11-23T01:32:38.1757676Z                 #pragma GCC ivdep
2022-11-23T01:32:38.1757755Z                 for(long i2=0; i2<39; i2+=1)
2022-11-23T01:32:38.1757820Z                 {
2022-11-23T01:32:38.1757887Z                     {
2022-11-23T01:32:38.1757955Z                         {
2022-11-23T01:32:38.1758066Z                             auto tmp0 = static_cast<float>(i1);
2022-11-23T01:32:38.1758185Z                             auto tmp1 = static_cast<float>(1.0277777777777777);
2022-11-23T01:32:38.1758280Z                             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.1758373Z                             auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:32:38.1758481Z                             auto tmp4 = static_cast<float>(i2);
2022-11-23T01:32:38.1758598Z                             auto tmp5 = static_cast<float>(0.9743589743589743);
2022-11-23T01:32:38.1758694Z                             auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:38.1758800Z                             auto tmp7 = static_cast<int>(tmp6);
2022-11-23T01:32:38.1759000Z                             auto tmp8 = in_ptr0[tmp7 + (38*tmp3) + (1406*i0)];
2022-11-23T01:32:38.1759108Z                             out_ptr4[i2 + (39*i1) + (1404*i0)] = tmp8;
2022-11-23T01:32:38.1759179Z                         }
2022-11-23T01:32:38.1759235Z                     }
2022-11-23T01:32:38.1759300Z                 }
2022-11-23T01:32:38.1759364Z             }
2022-11-23T01:32:38.1759428Z         }
2022-11-23T01:32:38.1759491Z     }
2022-11-23T01:32:38.1759552Z }
2022-11-23T01:32:38.1759631Z ''')
2022-11-23T01:32:38.1759637Z 
2022-11-23T01:32:38.1759656Z 
2022-11-23T01:32:38.1759734Z async_compile.wait(globals())
2022-11-23T01:32:38.1759807Z del async_compile
2022-11-23T01:32:38.1759812Z 
2022-11-23T01:32:38.1759884Z def call(args):
2022-11-23T01:32:38.1759957Z     arg0_1, = args
2022-11-23T01:32:38.1760030Z     args.clear()
2022-11-23T01:32:38.1760261Z     buf0 = empty_strided((2, 4, 74, 76), (22496, 5624, 76, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1760484Z     buf4 = empty_strided((2, 4, 74, 76), (22496, 5624, 76, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1760688Z     buf1 = empty_strided((2, 4, 70, 75), (21000, 5250, 75, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1760951Z     buf2 = empty_strided((2, 4, 45, 74), (13320, 3330, 74, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1761166Z     buf3 = empty_strided((2, 4, 36, 39), (5616, 1404, 39, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1761403Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:38.1761474Z     del arg0_1
2022-11-23T01:32:38.1761573Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:38.1761578Z 
2022-11-23T01:32:38.1761583Z 
2022-11-23T01:32:38.1761661Z if __name__ == "__main__":
2022-11-23T01:32:38.1761776Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.1761902Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.1762105Z     arg0_1 = rand_strided((2, 4, 37, 38), (5624, 1406, 38, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1762215Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.1762223Z 
2022-11-23T01:32:38.1762293Z ok (2.980s)
2022-11-23T01:32:38.1762622Z   test_upsample_nearest3d_cpu (__main__.CpuTests) ... [2022-11-23 01:29:11,905] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.1762895Z [2022-11-23 01:29:11,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.1763114Z [2022-11-23 01:29:11,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.1763366Z [2022-11-23 01:29:11,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.1763658Z [2022-11-23 01:29:11,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.1763981Z [2022-11-23 01:29:11,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.1764298Z [2022-11-23 01:29:11,906] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f642a150, file "inductor/test_torchinductor.py", line 2981> 
2022-11-23T01:32:38.1764394Z  2983           0 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1764506Z                2 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T01:32:38.1764601Z                4 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1764694Z                6 LOAD_CONST               1 (74)
2022-11-23T01:32:38.1764786Z                8 LOAD_CONST               2 (76)
2022-11-23T01:32:38.1764876Z               10 LOAD_CONST               3 (78)
2022-11-23T01:32:38.1764950Z               12 BUILD_LIST               3
2022-11-23T01:32:38.1765072Z               14 LOAD_CONST               0 (None)
2022-11-23T01:32:38.1765160Z               16 CALL_METHOD              3
2022-11-23T01:32:38.1765164Z 
2022-11-23T01:32:38.1765254Z 2984          18 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1765374Z               20 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T01:32:38.1765463Z               22 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1765552Z               24 LOAD_CONST               4 (70)
2022-11-23T01:32:38.1765640Z               26 LOAD_CONST               5 (75)
2022-11-23T01:32:38.1765716Z               28 LOAD_CONST               6 (80)
2022-11-23T01:32:38.1765804Z               30 BUILD_LIST               3
2022-11-23T01:32:38.1765896Z               32 LOAD_CONST               0 (None)
2022-11-23T01:32:38.1765981Z               34 CALL_METHOD              3
2022-11-23T01:32:38.1765986Z 
2022-11-23T01:32:38.1766080Z 2985          36 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1766192Z               38 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T01:32:38.1766280Z               40 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1766370Z               42 LOAD_CONST               7 (45)
2022-11-23T01:32:38.1766445Z               44 LOAD_CONST               1 (74)
2022-11-23T01:32:38.1766563Z               46 LOAD_CONST               8 (103)
2022-11-23T01:32:38.1766649Z               48 BUILD_LIST               3
2022-11-23T01:32:38.1766738Z               50 LOAD_CONST               0 (None)
2022-11-23T01:32:38.1768560Z               52 CALL_METHOD              3
2022-11-23T01:32:38.1768583Z 
2022-11-23T01:32:38.1768726Z 2986          54 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1768878Z               56 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T01:32:38.1768997Z               58 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1769124Z               60 LOAD_CONST               9 (36)
2022-11-23T01:32:38.1769231Z               62 LOAD_CONST              10 (39)
2022-11-23T01:32:38.1769353Z               64 LOAD_CONST              11 (40)
2022-11-23T01:32:38.1769477Z               66 BUILD_LIST               3
2022-11-23T01:32:38.1769602Z               68 LOAD_CONST               0 (None)
2022-11-23T01:32:38.1769730Z               70 CALL_METHOD              3
2022-11-23T01:32:38.1769737Z 
2022-11-23T01:32:38.1769859Z 2987          72 LOAD_GLOBAL              0 (aten)
2022-11-23T01:32:38.1770010Z               74 LOAD_METHOD              1 (upsample_nearest3d)
2022-11-23T01:32:38.1770136Z               76 LOAD_FAST                0 (a)
2022-11-23T01:32:38.1770270Z               78 LOAD_CONST               0 (None)
2022-11-23T01:32:38.1770361Z               80 LOAD_CONST              12 (2.0)
2022-11-23T01:32:38.1770451Z               82 LOAD_CONST              12 (2.0)
2022-11-23T01:32:38.1770525Z               84 LOAD_CONST              12 (2.0)
2022-11-23T01:32:38.1770614Z               86 BUILD_LIST               3
2022-11-23T01:32:38.1770702Z               88 CALL_METHOD              3
2022-11-23T01:32:38.1770791Z               90 BUILD_TUPLE              5
2022-11-23T01:32:38.1770870Z               92 RETURN_VALUE
2022-11-23T01:32:38.1770931Z  
2022-11-23T01:32:38.1770936Z 
2022-11-23T01:32:38.1771261Z [2022-11-23 01:29:11,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2983
2022-11-23T01:32:38.1771489Z [2022-11-23 01:29:11,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten []
2022-11-23T01:32:38.1771813Z [2022-11-23 01:29:11,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1772090Z [2022-11-23 01:29:11,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest3d)]
2022-11-23T01:32:38.1772396Z [2022-11-23 01:29:11,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T01:32:38.1772739Z [2022-11-23 01:29:11,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 76 [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1773117Z [2022-11-23 01:29:11,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 78 [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1773539Z [2022-11-23 01:29:11,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1773870Z [2022-11-23 01:29:11,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.1774246Z [2022-11-23 01:29:11,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:38.1774513Z [2022-11-23 01:29:11,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2984
2022-11-23T01:32:38.1774757Z [2022-11-23 01:29:11,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()]
2022-11-23T01:32:38.1775203Z [2022-11-23 01:29:11,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1775551Z [2022-11-23 01:29:11,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest3d)]
2022-11-23T01:32:38.1775873Z [2022-11-23 01:29:11,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 70 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T01:32:38.1776244Z [2022-11-23 01:29:11,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 75 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1776653Z [2022-11-23 01:29:11,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 80 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1777101Z [2022-11-23 01:29:11,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1777461Z [2022-11-23 01:29:11,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.1777865Z [2022-11-23 01:29:11,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:38.1778128Z [2022-11-23 01:29:11,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2985
2022-11-23T01:32:38.1778398Z [2022-11-23 01:29:11,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1778783Z [2022-11-23 01:29:11,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1779111Z [2022-11-23 01:29:11,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d)]
2022-11-23T01:32:38.1779469Z [2022-11-23 01:29:11,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T01:32:38.1779864Z [2022-11-23 01:29:11,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1780299Z [2022-11-23 01:29:11,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 103 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1780775Z [2022-11-23 01:29:11,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1781148Z [2022-11-23 01:29:11,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.1781582Z [2022-11-23 01:29:11,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:38.1781851Z [2022-11-23 01:29:11,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2986
2022-11-23T01:32:38.1782184Z [2022-11-23 01:29:11,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1782632Z [2022-11-23 01:29:11,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1782989Z [2022-11-23 01:29:11,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d)]
2022-11-23T01:32:38.1783376Z [2022-11-23 01:29:11,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 36 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T01:32:38.1783804Z [2022-11-23 01:29:11,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 39 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1784272Z [2022-11-23 01:29:11,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1784857Z [2022-11-23 01:29:11,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1785274Z [2022-11-23 01:29:11,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.1785742Z [2022-11-23 01:29:11,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:38.1786013Z [2022-11-23 01:29:11,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2987
2022-11-23T01:32:38.1786345Z [2022-11-23 01:29:11,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1786791Z [2022-11-23 01:29:11,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.1787168Z [2022-11-23 01:29:11,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d)]
2022-11-23T01:32:38.1787590Z [2022-11-23 01:29:11,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()]
2022-11-23T01:32:38.1788057Z [2022-11-23 01:29:11,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType)]
2022-11-23T01:32:38.1788564Z [2022-11-23 01:29:11,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float)]
2022-11-23T01:32:38.1789111Z [2022-11-23 01:29:11,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:38.1789762Z [2022-11-23 01:29:11,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float), ConstantVariable(float), ConstantVariable(float)]
2022-11-23T01:32:38.1790258Z [2022-11-23 01:29:11,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType), ListVariable()]
2022-11-23T01:32:38.1790606Z [2022-11-23 01:29:11,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1790852Z [2022-11-23 01:29:11,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1791188Z [2022-11-23 01:29:11,975] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f642a150, file "inductor/test_torchinductor.py", line 2981>
2022-11-23T01:32:38.1791435Z [2022-11-23 01:29:11,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1791668Z [2022-11-23 01:29:11,975] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.1791920Z [2022-11-23 01:29:11,978] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.1792168Z [2022-11-23 01:29:11,985] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.1792357Z [2022-11-23 01:29:11,985] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.1792479Z  __compiled_fn_418 <eval_with_key>.2582 opcode, name, target, args, kwargs
2022-11-23T01:32:38.1792571Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.1792725Z call_function, upsample_nearest3d, aten.upsample_nearest3d, (ex_0_, [74, 76, 78], None), {}
2022-11-23T01:32:38.1792880Z call_function, upsample_nearest3d_1, aten.upsample_nearest3d, (ex_0_, [70, 75, 80], None), {}
2022-11-23T01:32:38.1793034Z call_function, upsample_nearest3d_2, aten.upsample_nearest3d, (ex_0_, [45, 74, 103], None), {}
2022-11-23T01:32:38.1793185Z call_function, upsample_nearest3d_3, aten.upsample_nearest3d, (ex_0_, [36, 39, 40], None), {}
2022-11-23T01:32:38.1793340Z call_function, upsample_nearest3d_4, aten.upsample_nearest3d, (ex_0_, None, [2.0, 2.0, 2.0]), {}
2022-11-23T01:32:38.1793554Z output, output, output, ((upsample_nearest3d, upsample_nearest3d_1, upsample_nearest3d_2, upsample_nearest3d_3, upsample_nearest3d_4),), {}
2022-11-23T01:32:38.1793561Z 
2022-11-23T01:32:38.1793824Z [2022-11-23 01:29:11,986] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1793920Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1794010Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1794104Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.1794194Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.1794274Z               8 RETURN_VALUE
2022-11-23T01:32:38.1794280Z 
2022-11-23T01:32:38.1794341Z  
2022-11-23T01:32:38.1794613Z [2022-11-23 01:29:11,986] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1794710Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_418)
2022-11-23T01:32:38.1794799Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1794889Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1794965Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.1795057Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.1795161Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.1795293Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1795370Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1795446Z              16 BINARY_SUBSCR
2022-11-23T01:32:38.1795597Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1795687Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:38.1795765Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.1795864Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1795952Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:38.1796026Z              28 BINARY_SUBSCR
2022-11-23T01:32:38.1796112Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1796199Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:38.1796274Z              34 BINARY_SUBSCR
2022-11-23T01:32:38.1796372Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1796461Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:38.1796535Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.1796623Z              42 BUILD_TUPLE              5
2022-11-23T01:32:38.1796684Z              44 RETURN_VALUE
2022-11-23T01:32:38.1796689Z 
2022-11-23T01:32:38.1796752Z  
2022-11-23T01:32:38.1796938Z [2022-11-23 01:29:11,988] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.1797010Z  - 
2022-11-23T01:32:38.1797254Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.1797321Z             {
2022-11-23T01:32:38.1797465Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.1797639Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.1797759Z                 'obj_weakref': None
2022-11-23T01:32:38.1797984Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.1798050Z             }
2022-11-23T01:32:38.1798116Z             
2022-11-23T01:32:38.1798188Z  - 
2022-11-23T01:32:38.1798314Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.1798365Z             {
2022-11-23T01:32:38.1798505Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1798612Z                 'code': None,
2022-11-23T01:32:38.1798826Z                 'obj_weakref': <weakref at 0x7f70f2c729b0; to 'Tensor' at 0x7f7106a3d950>
2022-11-23T01:32:38.1799075Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1799140Z             }
2022-11-23T01:32:38.1799204Z             
2022-11-23T01:32:38.1799259Z  - 
2022-11-23T01:32:38.1799390Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.1799457Z             {
2022-11-23T01:32:38.1799595Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.1799765Z                 'code': ['___check_obj_id(model, 140123416378976)'],
2022-11-23T01:32:38.1799885Z                 'obj_weakref': None
2022-11-23T01:32:38.1800115Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.1800166Z             }
2022-11-23T01:32:38.1800228Z             
2022-11-23T01:32:38.1800296Z  - 
2022-11-23T01:32:38.1800416Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.1800481Z             {
2022-11-23T01:32:38.1800617Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.1800832Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.1800936Z                 'obj_weakref': None
2022-11-23T01:32:38.1801152Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.1801216Z             }
2022-11-23T01:32:38.1801278Z             
2022-11-23T01:32:38.1801346Z  - 
2022-11-23T01:32:38.1801476Z             global 'aten' FUNCTION_MATCH
2022-11-23T01:32:38.1801539Z             {
2022-11-23T01:32:38.1801645Z                 'guard_types': None,
2022-11-23T01:32:38.1801813Z                 'code': None,
2022-11-23T01:32:38.1801931Z                 'obj_weakref': None
2022-11-23T01:32:38.1802052Z                 'guarded_class': None
2022-11-23T01:32:38.1802117Z             }
2022-11-23T01:32:38.1802181Z             
2022-11-23T01:32:38.1802468Z [2022-11-23 01:29:12,000] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 410
2022-11-23T01:32:38.1802845Z [2022-11-23 01:29:14,742] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7o/c7omntfyenq4pcb7ivpiq4zf5oxgunmxfddd7yprkeqr6osc5kmd.py
2022-11-23T01:32:38.1803112Z [2022-11-23 01:29:14,743] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 410
2022-11-23T01:32:38.1803119Z 
2022-11-23T01:32:38.1803213Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.1803283Z import torch
2022-11-23T01:32:38.1803354Z import random
2022-11-23T01:32:38.1803473Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.1803598Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.1803604Z 
2022-11-23T01:32:38.1803683Z aten = torch.ops.aten
2022-11-23T01:32:38.1803803Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.1803896Z async_compile = AsyncCompile()
2022-11-23T01:32:38.1803902Z 
2022-11-23T01:32:38.1803909Z 
2022-11-23T01:32:38.1804042Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.1804246Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.1804366Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.1804466Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.1804563Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:38.1804656Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:38.1804735Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:38.1804827Z                        float* __restrict__ out_ptr4)
2022-11-23T01:32:38.1804889Z {
2022-11-23T01:32:38.1804990Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.1805052Z     {
2022-11-23T01:32:38.1805129Z         #pragma omp for 
2022-11-23T01:32:38.1805197Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.1805260Z         {
2022-11-23T01:32:38.1805342Z             #pragma GCC ivdep
2022-11-23T01:32:38.1805427Z             for(long i1=0; i1<74; i1+=1)
2022-11-23T01:32:38.1805489Z             {
2022-11-23T01:32:38.1805571Z                 #pragma GCC ivdep
2022-11-23T01:32:38.1805662Z                 for(long i2=0; i2<76; i2+=1)
2022-11-23T01:32:38.1805713Z                 {
2022-11-23T01:32:38.1805799Z                     #pragma GCC ivdep
2022-11-23T01:32:38.1805889Z                     for(long i3=0; i3<78; i3+=1)
2022-11-23T01:32:38.1805956Z                     {
2022-11-23T01:32:38.1806025Z                         {
2022-11-23T01:32:38.1806095Z                             {
2022-11-23T01:32:38.1806206Z                                 auto tmp0 = static_cast<float>(i1);
2022-11-23T01:32:38.1806308Z                                 auto tmp1 = static_cast<float>(0.5);
2022-11-23T01:32:38.1806405Z                                 auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.1806517Z                                 auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:32:38.1806623Z                                 auto tmp4 = static_cast<float>(i2);
2022-11-23T01:32:38.1806720Z                                 auto tmp5 = tmp4 * tmp1;
2022-11-23T01:32:38.1806829Z                                 auto tmp6 = static_cast<int>(tmp5);
2022-11-23T01:32:38.1806936Z                                 auto tmp7 = static_cast<float>(i3);
2022-11-23T01:32:38.1807031Z                                 auto tmp8 = tmp7 * tmp1;
2022-11-23T01:32:38.1807127Z                                 auto tmp9 = static_cast<int>(tmp8);
2022-11-23T01:32:38.1807256Z                                 auto tmp10 = in_ptr0[tmp9 + (39*tmp6) + (1482*tmp3) + (54834*i0)];
2022-11-23T01:32:38.1807398Z                                 out_ptr0[i3 + (78*i2) + (5928*i1) + (438672*i0)] = tmp10;
2022-11-23T01:32:38.1807512Z                                 out_ptr1[i3 + (78*i2) + (5928*i1) + (438672*i0)] = tmp10;
2022-11-23T01:32:38.1807582Z                             }
2022-11-23T01:32:38.1807678Z                         }
2022-11-23T01:32:38.1807745Z                     }
2022-11-23T01:32:38.1807796Z                 }
2022-11-23T01:32:38.1807860Z             }
2022-11-23T01:32:38.1807923Z         }
2022-11-23T01:32:38.1808000Z         #pragma omp for 
2022-11-23T01:32:38.1808086Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.1808149Z         {
2022-11-23T01:32:38.1808227Z             #pragma GCC ivdep
2022-11-23T01:32:38.1808300Z             for(long i1=0; i1<70; i1+=1)
2022-11-23T01:32:38.1808364Z             {
2022-11-23T01:32:38.1808445Z                 #pragma GCC ivdep
2022-11-23T01:32:38.1808535Z                 for(long i2=0; i2<75; i2+=1)
2022-11-23T01:32:38.1808604Z                 {
2022-11-23T01:32:38.1808686Z                     #pragma GCC ivdep
2022-11-23T01:32:38.1808776Z                     for(long i3=0; i3<80; i3+=1)
2022-11-23T01:32:38.1808830Z                     {
2022-11-23T01:32:38.1808899Z                         {
2022-11-23T01:32:38.1808971Z                             {
2022-11-23T01:32:38.1809081Z                                 auto tmp0 = static_cast<float>(i1);
2022-11-23T01:32:38.1809198Z                                 auto tmp1 = static_cast<float>(0.5285714285714286);
2022-11-23T01:32:38.1809296Z                                 auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.1809406Z                                 auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:32:38.1809500Z                                 auto tmp4 = static_cast<float>(i2);
2022-11-23T01:32:38.1809617Z                                 auto tmp5 = static_cast<float>(0.5066666666666667);
2022-11-23T01:32:38.1809717Z                                 auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:38.1809832Z                                 auto tmp7 = static_cast<int>(tmp6);
2022-11-23T01:32:38.1809938Z                                 auto tmp8 = static_cast<float>(i3);
2022-11-23T01:32:38.1810052Z                                 auto tmp9 = static_cast<float>(0.4875);
2022-11-23T01:32:38.1810153Z                                 auto tmp10 = tmp8 * tmp9;
2022-11-23T01:32:38.1810265Z                                 auto tmp11 = static_cast<int>(tmp10);
2022-11-23T01:32:38.1810380Z                                 auto tmp12 = in_ptr0[tmp11 + (39*tmp7) + (1482*tmp3) + (54834*i0)];
2022-11-23T01:32:38.1810492Z                                 out_ptr2[i3 + (80*i2) + (6000*i1) + (420000*i0)] = tmp12;
2022-11-23T01:32:38.1810563Z                             }
2022-11-23T01:32:38.1810630Z                         }
2022-11-23T01:32:38.1810697Z                     }
2022-11-23T01:32:38.1810763Z                 }
2022-11-23T01:32:38.1810826Z             }
2022-11-23T01:32:38.1810875Z         }
2022-11-23T01:32:38.1810955Z         #pragma omp for 
2022-11-23T01:32:38.1811036Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.1811099Z         {
2022-11-23T01:32:38.1811178Z             #pragma GCC ivdep
2022-11-23T01:32:38.1811262Z             for(long i1=0; i1<45; i1+=1)
2022-11-23T01:32:38.1811325Z             {
2022-11-23T01:32:38.1811395Z                 #pragma GCC ivdep
2022-11-23T01:32:38.1811484Z                 for(long i2=0; i2<74; i2+=1)
2022-11-23T01:32:38.1811548Z                 {
2022-11-23T01:32:38.1811632Z                     #pragma GCC ivdep
2022-11-23T01:32:38.1811722Z                     for(long i3=0; i3<103; i3+=1)
2022-11-23T01:32:38.1811790Z                     {
2022-11-23T01:32:38.1811845Z                         {
2022-11-23T01:32:38.1811914Z                             {
2022-11-23T01:32:38.1812023Z                                 auto tmp0 = static_cast<float>(i1);
2022-11-23T01:32:38.1812139Z                                 auto tmp1 = static_cast<float>(0.8222222222222222);
2022-11-23T01:32:38.1812268Z                                 auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.1812375Z                                 auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:32:38.1812481Z                                 auto tmp4 = static_cast<float>(i2);
2022-11-23T01:32:38.1812630Z                                 auto tmp5 = static_cast<float>(0.5135135135135135);
2022-11-23T01:32:38.1812715Z                                 auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:38.1812823Z                                 auto tmp7 = static_cast<int>(tmp6);
2022-11-23T01:32:38.1812930Z                                 auto tmp8 = static_cast<float>(i3);
2022-11-23T01:32:38.1813048Z                                 auto tmp9 = static_cast<float>(0.3786407766990291);
2022-11-23T01:32:38.1813150Z                                 auto tmp10 = tmp8 * tmp9;
2022-11-23T01:32:38.1813260Z                                 auto tmp11 = static_cast<int>(tmp10);
2022-11-23T01:32:38.1813389Z                                 auto tmp12 = in_ptr0[tmp11 + (39*tmp7) + (1482*tmp3) + (54834*i0)];
2022-11-23T01:32:38.1813505Z                                 out_ptr3[i3 + (103*i2) + (7622*i1) + (342990*i0)] = tmp12;
2022-11-23T01:32:38.1813562Z                             }
2022-11-23T01:32:38.1813630Z                         }
2022-11-23T01:32:38.1813698Z                     }
2022-11-23T01:32:38.1813762Z                 }
2022-11-23T01:32:38.1813825Z             }
2022-11-23T01:32:38.1813888Z         }
2022-11-23T01:32:38.1813964Z         #pragma omp for 
2022-11-23T01:32:38.1814032Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.1814093Z         {
2022-11-23T01:32:38.1814171Z             #pragma GCC ivdep
2022-11-23T01:32:38.1814255Z             for(long i1=0; i1<36; i1+=1)
2022-11-23T01:32:38.1814319Z             {
2022-11-23T01:32:38.1814399Z                 #pragma GCC ivdep
2022-11-23T01:32:38.1814475Z                 for(long i2=0; i2<39; i2+=1)
2022-11-23T01:32:38.1814539Z                 {
2022-11-23T01:32:38.1814624Z                     #pragma GCC ivdep
2022-11-23T01:32:38.1814717Z                     for(long i3=0; i3<40; i3+=1)
2022-11-23T01:32:38.1814784Z                     {
2022-11-23T01:32:38.1814852Z                         {
2022-11-23T01:32:38.1814921Z                             {
2022-11-23T01:32:38.1815018Z                                 auto tmp0 = static_cast<float>(i1);
2022-11-23T01:32:38.1815133Z                                 auto tmp1 = static_cast<float>(1.0277777777777777);
2022-11-23T01:32:38.1815232Z                                 auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.1815340Z                                 auto tmp3 = static_cast<int>(tmp2);
2022-11-23T01:32:38.1815447Z                                 auto tmp4 = static_cast<float>(i2);
2022-11-23T01:32:38.1815562Z                                 auto tmp5 = static_cast<float>(0.9743589743589743);
2022-11-23T01:32:38.1815660Z                                 auto tmp6 = tmp4 * tmp5;
2022-11-23T01:32:38.1815768Z                                 auto tmp7 = static_cast<int>(tmp6);
2022-11-23T01:32:38.1815862Z                                 auto tmp8 = static_cast<float>(i3);
2022-11-23T01:32:38.1815972Z                                 auto tmp9 = static_cast<float>(0.975);
2022-11-23T01:32:38.1816074Z                                 auto tmp10 = tmp8 * tmp9;
2022-11-23T01:32:38.1816184Z                                 auto tmp11 = static_cast<int>(tmp10);
2022-11-23T01:32:38.1816312Z                                 auto tmp12 = in_ptr0[tmp11 + (39*tmp7) + (1482*tmp3) + (54834*i0)];
2022-11-23T01:32:38.1816425Z                                 out_ptr4[i3 + (40*i2) + (1560*i1) + (56160*i0)] = tmp12;
2022-11-23T01:32:38.1816495Z                             }
2022-11-23T01:32:38.1816561Z                         }
2022-11-23T01:32:38.1816615Z                     }
2022-11-23T01:32:38.1816678Z                 }
2022-11-23T01:32:38.1816741Z             }
2022-11-23T01:32:38.1816803Z         }
2022-11-23T01:32:38.1816864Z     }
2022-11-23T01:32:38.1816952Z }
2022-11-23T01:32:38.1817025Z ''')
2022-11-23T01:32:38.1817033Z 
2022-11-23T01:32:38.1817051Z 
2022-11-23T01:32:38.1817128Z async_compile.wait(globals())
2022-11-23T01:32:38.1817201Z del async_compile
2022-11-23T01:32:38.1817206Z 
2022-11-23T01:32:38.1817276Z def call(args):
2022-11-23T01:32:38.1817377Z     arg0_1, = args
2022-11-23T01:32:38.1817450Z     args.clear()
2022-11-23T01:32:38.1817692Z     buf0 = empty_strided((2, 4, 74, 76, 78), (1754688, 438672, 5928, 78, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1817928Z     buf4 = empty_strided((2, 4, 74, 76, 78), (1754688, 438672, 5928, 78, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1818145Z     buf1 = empty_strided((2, 4, 70, 75, 80), (1680000, 420000, 6000, 80, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1818380Z     buf2 = empty_strided((2, 4, 45, 74, 103), (1371960, 342990, 7622, 103, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1818610Z     buf3 = empty_strided((2, 4, 36, 39, 40), (224640, 56160, 1560, 40, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1818845Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:38.1818915Z     del arg0_1
2022-11-23T01:32:38.1819016Z     return (buf0, buf1, buf2, buf3, buf4, )
2022-11-23T01:32:38.1819022Z 
2022-11-23T01:32:38.1819026Z 
2022-11-23T01:32:38.1819102Z if __name__ == "__main__":
2022-11-23T01:32:38.1819217Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.1819341Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.1819561Z     arg0_1 = rand_strided((2, 4, 37, 38, 39), (219336, 54834, 1482, 39, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1819669Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.1819675Z 
2022-11-23T01:32:38.1819742Z ok (6.203s)
2022-11-23T01:32:38.1820050Z   test_var_mean_cpu (__main__.CpuTests) ... [2022-11-23 01:29:17,876] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.1820324Z [2022-11-23 01:29:17,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.1820542Z [2022-11-23 01:29:17,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.1820793Z [2022-11-23 01:29:17,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.1821077Z [2022-11-23 01:29:17,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.1821398Z [2022-11-23 01:29:17,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.1821715Z [2022-11-23 01:29:17,877] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f640fd20, file "inductor/test_torchinductor.py", line 2191> 
2022-11-23T01:32:38.1821813Z  2193           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.1821909Z                2 LOAD_METHOD              1 (var_mean)
2022-11-23T01:32:38.1822000Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1822139Z                6 LOAD_CONST               1 (-1)
2022-11-23T01:32:38.1822230Z                8 CALL_METHOD              2
2022-11-23T01:32:38.1822235Z 
2022-11-23T01:32:38.1822328Z 2194          10 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.1822422Z               12 LOAD_METHOD              1 (var_mean)
2022-11-23T01:32:38.1822500Z               14 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1822588Z               16 LOAD_CONST               2 (1)
2022-11-23T01:32:38.1822676Z               18 LOAD_CONST               3 (3)
2022-11-23T01:32:38.1822762Z               20 BUILD_LIST               2
2022-11-23T01:32:38.1822848Z               22 CALL_METHOD              2
2022-11-23T01:32:38.1822968Z               24 BUILD_TUPLE_UNPACK       2
2022-11-23T01:32:38.1823045Z               26 RETURN_VALUE
2022-11-23T01:32:38.1823092Z  
2022-11-23T01:32:38.1823097Z 
2022-11-23T01:32:38.1823369Z [2022-11-23 01:29:17,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2193
2022-11-23T01:32:38.1823616Z [2022-11-23 01:29:17,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.1823987Z [2022-11-23 01:29:17,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var_mean [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.1824311Z [2022-11-23 01:29:17,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method var_mean of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.1824756Z [2022-11-23 01:29:17,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(<built-in method var_mean of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.1825157Z [2022-11-23 01:29:17,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method var_mean of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1825427Z [2022-11-23 01:29:17,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2194
2022-11-23T01:32:38.1825676Z [2022-11-23 01:29:17,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TupleVariable()]
2022-11-23T01:32:38.1826072Z [2022-11-23 01:29:17,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var_mean [TupleVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.1826426Z [2022-11-23 01:29:17,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TupleVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.1826794Z [2022-11-23 01:29:17,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TupleVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.1827212Z [2022-11-23 01:29:17,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TupleVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1827666Z [2022-11-23 01:29:17,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TupleVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.1828080Z [2022-11-23 01:29:17,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TupleVariable(), TorchVariable(<built-in method var_mean of type object at 0x7f71f2abebc0>), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.1828362Z [2022-11-23 01:29:17,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE_UNPACK 2 [TupleVariable(), TupleVariable()]
2022-11-23T01:32:38.1828612Z [2022-11-23 01:29:17,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1828944Z [2022-11-23 01:29:17,886] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f640fd20, file "inductor/test_torchinductor.py", line 2191>
2022-11-23T01:32:38.1829189Z [2022-11-23 01:29:17,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1829422Z [2022-11-23 01:29:17,887] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.1829676Z [2022-11-23 01:29:17,889] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.1829928Z [2022-11-23 01:29:17,896] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.1830116Z [2022-11-23 01:29:17,896] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.1830279Z  __compiled_fn_419 <eval_with_key>.2588 opcode, name, target, args, kwargs
2022-11-23T01:32:38.1830369Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.1830642Z call_function, var_mean, <built-in method var_mean of type object at 0x7f71f2abebc0>, (ex_0_, -1), {}
2022-11-23T01:32:38.1830837Z call_function, getitem, <built-in function getitem>, (var_mean, 0), {}
2022-11-23T01:32:38.1831031Z call_function, getitem_1, <built-in function getitem>, (var_mean, 1), {}
2022-11-23T01:32:38.1831276Z call_function, var_mean_1, <built-in method var_mean of type object at 0x7f71f2abebc0>, (ex_0_, [1, 3]), {}
2022-11-23T01:32:38.1831472Z call_function, getitem_2, <built-in function getitem>, (var_mean_1, 0), {}
2022-11-23T01:32:38.1831667Z call_function, getitem_3, <built-in function getitem>, (var_mean_1, 1), {}
2022-11-23T01:32:38.1831788Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {}
2022-11-23T01:32:38.1831796Z 
2022-11-23T01:32:38.1832076Z [2022-11-23 01:29:17,897] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1832171Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1832264Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1832360Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.1832452Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.1832530Z               8 RETURN_VALUE
2022-11-23T01:32:38.1832535Z 
2022-11-23T01:32:38.1832595Z  
2022-11-23T01:32:38.1832853Z [2022-11-23 01:29:17,897] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1832960Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_419)
2022-11-23T01:32:38.1833050Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1833139Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1833218Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.1833305Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.1833408Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.1833496Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1833587Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1833664Z              16 BINARY_SUBSCR
2022-11-23T01:32:38.1833764Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1833853Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:38.1833927Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.1834025Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1834100Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:38.1834175Z              28 BINARY_SUBSCR
2022-11-23T01:32:38.1834276Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1834362Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:38.1834439Z              34 BINARY_SUBSCR
2022-11-23T01:32:38.1834527Z              36 BUILD_TUPLE              4
2022-11-23T01:32:38.1834602Z              38 RETURN_VALUE
2022-11-23T01:32:38.1834607Z 
2022-11-23T01:32:38.1834666Z  
2022-11-23T01:32:38.1834836Z [2022-11-23 01:29:17,898] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.1834905Z  - 
2022-11-23T01:32:38.1835022Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.1835087Z             {
2022-11-23T01:32:38.1835227Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.1835413Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.1835532Z                 'obj_weakref': None
2022-11-23T01:32:38.1835743Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.1835807Z             }
2022-11-23T01:32:38.1835871Z             
2022-11-23T01:32:38.1835939Z  - 
2022-11-23T01:32:38.1836093Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.1836159Z             {
2022-11-23T01:32:38.1836289Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1836395Z                 'code': None,
2022-11-23T01:32:38.1836642Z                 'obj_weakref': <weakref at 0x7f71069a1bf0; to 'Tensor' at 0x7f7129e57ad0>
2022-11-23T01:32:38.1836890Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1836954Z             }
2022-11-23T01:32:38.1837017Z             
2022-11-23T01:32:38.1837085Z  - 
2022-11-23T01:32:38.1837327Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.1837378Z             {
2022-11-23T01:32:38.1837512Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.1837683Z                 'code': ['___check_obj_id(model, 140123418870128)'],
2022-11-23T01:32:38.1837803Z                 'obj_weakref': None
2022-11-23T01:32:38.1838033Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.1838100Z             }
2022-11-23T01:32:38.1838164Z             
2022-11-23T01:32:38.1838220Z  - 
2022-11-23T01:32:38.1838342Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.1838408Z             {
2022-11-23T01:32:38.1838547Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.1838765Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.1838886Z                 'obj_weakref': None
2022-11-23T01:32:38.1839102Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.1839152Z             }
2022-11-23T01:32:38.1839215Z             
2022-11-23T01:32:38.1839285Z  - 
2022-11-23T01:32:38.1839418Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.1839483Z             {
2022-11-23T01:32:38.1839604Z                 'guard_types': None,
2022-11-23T01:32:38.1839696Z                 'code': None,
2022-11-23T01:32:38.1839816Z                 'obj_weakref': None
2022-11-23T01:32:38.1839937Z                 'guarded_class': None
2022-11-23T01:32:38.1840001Z             }
2022-11-23T01:32:38.1840064Z             
2022-11-23T01:32:38.1840325Z [2022-11-23 01:29:17,910] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 411
2022-11-23T01:32:38.1840692Z [2022-11-23 01:29:20,758] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lb/clbtg7gcinr6q62qyck424ljqb6s5zq5ssopnogranwzi3ed3b4x.py
2022-11-23T01:32:38.1840955Z [2022-11-23 01:29:20,758] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 411
2022-11-23T01:32:38.1840961Z 
2022-11-23T01:32:38.1841042Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.1841111Z import torch
2022-11-23T01:32:38.1841181Z import random
2022-11-23T01:32:38.1841294Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.1841416Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.1841423Z 
2022-11-23T01:32:38.1841501Z aten = torch.ops.aten
2022-11-23T01:32:38.1841638Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.1841730Z async_compile = AsyncCompile()
2022-11-23T01:32:38.1841736Z 
2022-11-23T01:32:38.1841740Z 
2022-11-23T01:32:38.1841862Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.1842067Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.1842184Z extern "C" void kernel(float* __restrict__ in_out_ptr0,
2022-11-23T01:32:38.1842283Z                        float* __restrict__ in_out_ptr1,
2022-11-23T01:32:38.1842383Z                        float* __restrict__ in_out_ptr2,
2022-11-23T01:32:38.1842482Z                        float* __restrict__ in_out_ptr3,
2022-11-23T01:32:38.1842585Z                        const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.1842684Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.1842819Z                        float* __restrict__ out_ptr3)
2022-11-23T01:32:38.1842881Z {
2022-11-23T01:32:38.1842969Z     auto out_ptr1 = in_out_ptr0;
2022-11-23T01:32:38.1843053Z     auto out_ptr2 = in_out_ptr1;
2022-11-23T01:32:38.1843135Z     auto out_ptr4 = in_out_ptr2;
2022-11-23T01:32:38.1843253Z     auto out_ptr5 = in_out_ptr3;
2022-11-23T01:32:38.1843340Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.1843404Z     {
2022-11-23T01:32:38.1843481Z         #pragma omp for 
2022-11-23T01:32:38.1843566Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.1843630Z         {
2022-11-23T01:32:38.1843694Z             {
2022-11-23T01:32:38.1843760Z                 {
2022-11-23T01:32:38.1843827Z                     float tmp1 = 0;
2022-11-23T01:32:38.1843919Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:38.1843986Z                     {
2022-11-23T01:32:38.1844056Z                         {
2022-11-23T01:32:38.1844161Z                             auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:38.1844246Z                             tmp1 += tmp0;
2022-11-23T01:32:38.1844314Z                         }
2022-11-23T01:32:38.1844368Z                     }
2022-11-23T01:32:38.1844454Z                     out_ptr0[i0] = tmp1;
2022-11-23T01:32:38.1844520Z                 }
2022-11-23T01:32:38.1844584Z             }
2022-11-23T01:32:38.1844648Z         }
2022-11-23T01:32:38.1844724Z         #pragma omp for 
2022-11-23T01:32:38.1844805Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.1844854Z         {
2022-11-23T01:32:38.1844917Z             {
2022-11-23T01:32:38.1844981Z                 {
2022-11-23T01:32:38.1845060Z                     float tmp6 = 0;
2022-11-23T01:32:38.1845137Z                     float tmp7 = 0;
2022-11-23T01:32:38.1845227Z                     for(long i1=0; i1<8; i1+=1)
2022-11-23T01:32:38.1845280Z                     {
2022-11-23T01:32:38.1845350Z                         {
2022-11-23T01:32:38.1845454Z                             auto tmp0 = in_ptr0[i1 + (8*i0)];
2022-11-23T01:32:38.1845554Z                             auto tmp1 = out_ptr0[i0];
2022-11-23T01:32:38.1845660Z                             auto tmp2 = static_cast<float>(8);
2022-11-23T01:32:38.1845757Z                             auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:38.1845903Z                             auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:38.1845994Z                             auto tmp5 = tmp4 * tmp4;
2022-11-23T01:32:38.1846063Z                             tmp6 += tmp5;
2022-11-23T01:32:38.1846144Z                             tmp7 += tmp0;
2022-11-23T01:32:38.1846211Z                         }
2022-11-23T01:32:38.1846277Z                     }
2022-11-23T01:32:38.1846362Z                     out_ptr1[i0] = tmp6;
2022-11-23T01:32:38.1846447Z                     out_ptr2[i0] = tmp7;
2022-11-23T01:32:38.1846499Z                 }
2022-11-23T01:32:38.1846562Z             }
2022-11-23T01:32:38.1846625Z         }
2022-11-23T01:32:38.1846702Z         #pragma omp for 
2022-11-23T01:32:38.1846785Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:38.1846849Z         {
2022-11-23T01:32:38.1846912Z             {
2022-11-23T01:32:38.1846963Z                 {
2022-11-23T01:32:38.1847045Z                     float tmp1 = 0;
2022-11-23T01:32:38.1847135Z                     for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:38.1847203Z                     {
2022-11-23T01:32:38.1847295Z                         for(long i2=0; i2<8; i2+=1)
2022-11-23T01:32:38.1847362Z                         {
2022-11-23T01:32:38.1847433Z                             {
2022-11-23T01:32:38.1847532Z                                 auto tmp0 = in_ptr0[i2 + (8*i0) + (32*i1)];
2022-11-23T01:32:38.1847617Z                                 tmp1 += tmp0;
2022-11-23T01:32:38.1847688Z                             }
2022-11-23T01:32:38.1847756Z                         }
2022-11-23T01:32:38.1847823Z                     }
2022-11-23T01:32:38.1847905Z                     out_ptr3[i0] = tmp1;
2022-11-23T01:32:38.1847969Z                 }
2022-11-23T01:32:38.1848049Z             }
2022-11-23T01:32:38.1848111Z         }
2022-11-23T01:32:38.1848190Z         #pragma omp for 
2022-11-23T01:32:38.1848270Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:38.1848333Z         {
2022-11-23T01:32:38.1848395Z             {
2022-11-23T01:32:38.1848474Z                 {
2022-11-23T01:32:38.1848556Z                     float tmp6 = 0;
2022-11-23T01:32:38.1848632Z                     float tmp7 = 0;
2022-11-23T01:32:38.1848722Z                     for(long i1=0; i1<2; i1+=1)
2022-11-23T01:32:38.1848790Z                     {
2022-11-23T01:32:38.1848882Z                         for(long i2=0; i2<8; i2+=1)
2022-11-23T01:32:38.1848952Z                         {
2022-11-23T01:32:38.1849008Z                             {
2022-11-23T01:32:38.1849119Z                                 auto tmp0 = in_ptr0[i2 + (8*i0) + (32*i1)];
2022-11-23T01:32:38.1849218Z                                 auto tmp1 = out_ptr3[i0];
2022-11-23T01:32:38.1849328Z                                 auto tmp2 = static_cast<float>(16);
2022-11-23T01:32:38.1849427Z                                 auto tmp3 = tmp1 / tmp2;
2022-11-23T01:32:38.1849578Z                                 auto tmp4 = tmp0 - tmp3;
2022-11-23T01:32:38.1849673Z                                 auto tmp5 = tmp4 * tmp4;
2022-11-23T01:32:38.1849760Z                                 tmp6 += tmp5;
2022-11-23T01:32:38.1849830Z                                 tmp7 += tmp0;
2022-11-23T01:32:38.1849900Z                             }
2022-11-23T01:32:38.1849967Z                         }
2022-11-23T01:32:38.1850033Z                     }
2022-11-23T01:32:38.1850116Z                     out_ptr4[i0] = tmp6;
2022-11-23T01:32:38.1850201Z                     out_ptr5[i0] = tmp7;
2022-11-23T01:32:38.1850265Z                 }
2022-11-23T01:32:38.1850315Z             }
2022-11-23T01:32:38.1850377Z         }
2022-11-23T01:32:38.1850458Z         #pragma omp for 
2022-11-23T01:32:38.1850538Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.1850603Z         {
2022-11-23T01:32:38.1850666Z             {
2022-11-23T01:32:38.1850716Z                 {
2022-11-23T01:32:38.1850805Z                     auto tmp0 = out_ptr1[i0];
2022-11-23T01:32:38.1850907Z                     auto tmp1 = static_cast<float>(7);
2022-11-23T01:32:38.1851001Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:38.1851090Z                     in_out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.1851153Z                 }
2022-11-23T01:32:38.1851215Z             }
2022-11-23T01:32:38.1851263Z         }
2022-11-23T01:32:38.1851338Z         #pragma omp for 
2022-11-23T01:32:38.1851418Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.1851481Z         {
2022-11-23T01:32:38.1851545Z             {
2022-11-23T01:32:38.1851609Z                 {
2022-11-23T01:32:38.1851700Z                     auto tmp0 = out_ptr2[i0];
2022-11-23T01:32:38.1851790Z                     auto tmp1 = static_cast<float>(8);
2022-11-23T01:32:38.1851877Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:38.1851966Z                     in_out_ptr1[i0] = tmp2;
2022-11-23T01:32:38.1852031Z                 }
2022-11-23T01:32:38.1852093Z             }
2022-11-23T01:32:38.1852155Z         }
2022-11-23T01:32:38.1852217Z         #pragma omp for 
2022-11-23T01:32:38.1852299Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:38.1852360Z         {
2022-11-23T01:32:38.1852422Z             {
2022-11-23T01:32:38.1852485Z                 {
2022-11-23T01:32:38.1852574Z                     auto tmp0 = out_ptr4[i0];
2022-11-23T01:32:38.1852678Z                     auto tmp1 = static_cast<float>(15);
2022-11-23T01:32:38.1852754Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:38.1852840Z                     in_out_ptr2[i0] = tmp2;
2022-11-23T01:32:38.1852903Z                 }
2022-11-23T01:32:38.1852966Z             }
2022-11-23T01:32:38.1853029Z         }
2022-11-23T01:32:38.1853105Z         #pragma omp for 
2022-11-23T01:32:38.1853184Z         for(long i0=0; i0<4; i0+=1)
2022-11-23T01:32:38.1853297Z         {
2022-11-23T01:32:38.1853361Z             {
2022-11-23T01:32:38.1853425Z                 {
2022-11-23T01:32:38.1853516Z                     auto tmp0 = out_ptr5[i0];
2022-11-23T01:32:38.1853619Z                     auto tmp1 = static_cast<float>(16);
2022-11-23T01:32:38.1853746Z                     auto tmp2 = tmp0 / tmp1;
2022-11-23T01:32:38.1853834Z                     in_out_ptr3[i0] = tmp2;
2022-11-23T01:32:38.1853885Z                 }
2022-11-23T01:32:38.1853948Z             }
2022-11-23T01:32:38.1854011Z         }
2022-11-23T01:32:38.1854073Z     }
2022-11-23T01:32:38.1854134Z }
2022-11-23T01:32:38.1854213Z ''')
2022-11-23T01:32:38.1854220Z 
2022-11-23T01:32:38.1854224Z 
2022-11-23T01:32:38.1854317Z async_compile.wait(globals())
2022-11-23T01:32:38.1854376Z del async_compile
2022-11-23T01:32:38.1854381Z 
2022-11-23T01:32:38.1854452Z def call(args):
2022-11-23T01:32:38.1854520Z     arg0_1, = args
2022-11-23T01:32:38.1854592Z     args.clear()
2022-11-23T01:32:38.1854807Z     buf0 = empty_strided((1, 2, 4, 1), (8, 4, 1, 8), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1855008Z     buf1 = empty_strided((1, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1855206Z     buf2 = empty_strided((1, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1855399Z     buf3 = empty_strided((1, 1, 4, 1), (4, 4, 1, 4), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1855588Z     buf4 = empty_strided((1, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1855777Z     buf5 = empty_strided((1, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1855860Z     buf6 = buf1; del buf1  # reuse
2022-11-23T01:32:38.1855945Z     buf7 = buf2; del buf2  # reuse
2022-11-23T01:32:38.1856024Z     buf8 = buf4; del buf4  # reuse
2022-11-23T01:32:38.1856103Z     buf9 = buf5; del buf5  # reuse
2022-11-23T01:32:38.1856362Z     kernel_cpp_0(c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf3.data_ptr()))
2022-11-23T01:32:38.1856419Z     del arg0_1
2022-11-23T01:32:38.1856505Z     return (buf6, buf7, buf8, buf9, )
2022-11-23T01:32:38.1856510Z 
2022-11-23T01:32:38.1856514Z 
2022-11-23T01:32:38.1856592Z if __name__ == "__main__":
2022-11-23T01:32:38.1856707Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.1856830Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.1857038Z     arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1857146Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.1857151Z 
2022-11-23T01:32:38.1857217Z ok (2.894s)
2022-11-23T01:32:38.1857515Z   test_vdd_clamp_cpu (__main__.CpuTests) ... [2022-11-23 01:29:20,772] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.1857782Z [2022-11-23 01:29:20,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.1858001Z [2022-11-23 01:29:20,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.1858254Z [2022-11-23 01:29:20,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.1858541Z [2022-11-23 01:29:20,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.1858866Z [2022-11-23 01:29:20,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.1859192Z [2022-11-23 01:29:20,773] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f63ca300, file "inductor/test_torchinductor.py", line 4371> 
2022-11-23T01:32:38.1859289Z  4372           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.1859388Z                2 LOAD_METHOD              1 (clamp_min)
2022-11-23T01:32:38.1859498Z                4 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1859589Z                6 LOAD_CONST               1 (3)
2022-11-23T01:32:38.1859677Z                8 CALL_METHOD              2
2022-11-23T01:32:38.1859753Z               10 RETURN_VALUE
2022-11-23T01:32:38.1859814Z  
2022-11-23T01:32:38.1859847Z 
2022-11-23T01:32:38.1860120Z [2022-11-23 01:29:20,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4372
2022-11-23T01:32:38.1860338Z [2022-11-23 01:29:20,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.1860708Z [2022-11-23 01:29:20,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp_min [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.1861028Z [2022-11-23 01:29:20,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(<built-in method clamp_min of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.1861373Z [2022-11-23 01:29:20,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(<built-in method clamp_min of type object at 0x7f71f2abebc0>), TensorVariable()]
2022-11-23T01:32:38.1861773Z [2022-11-23 01:29:20,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(<built-in method clamp_min of type object at 0x7f71f2abebc0>), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1862025Z [2022-11-23 01:29:20,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.1862353Z [2022-11-23 01:29:20,779] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f63ca300, file "inductor/test_torchinductor.py", line 4371>
2022-11-23T01:32:38.1862595Z [2022-11-23 01:29:20,779] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.1862827Z [2022-11-23 01:29:20,779] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.1863080Z [2022-11-23 01:29:20,780] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.1863329Z [2022-11-23 01:29:20,786] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.1863517Z [2022-11-23 01:29:20,787] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.1863651Z  __compiled_fn_420 <eval_with_key>.2594 opcode, name, target, args, kwargs
2022-11-23T01:32:38.1863727Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.1863972Z call_function, clamp_min, <built-in method clamp_min of type object at 0x7f71f2abebc0>, (ex_0_, 3), {}
2022-11-23T01:32:38.1864078Z output, output, output, ((clamp_min,),), {}
2022-11-23T01:32:38.1864083Z 
2022-11-23T01:32:38.1864358Z [2022-11-23 01:29:20,787] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1864538Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1864637Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1864731Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.1864822Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.1864886Z               8 RETURN_VALUE
2022-11-23T01:32:38.1864894Z 
2022-11-23T01:32:38.1864955Z  
2022-11-23T01:32:38.1865232Z [2022-11-23 01:29:20,787] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1865343Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_420)
2022-11-23T01:32:38.1865434Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1865525Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1865603Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.1865678Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.1865769Z              10 UNPACK_SEQUENCE          1
2022-11-23T01:32:38.1865845Z              12 RETURN_VALUE
2022-11-23T01:32:38.1865884Z 
2022-11-23T01:32:38.1865944Z  
2022-11-23T01:32:38.1866125Z [2022-11-23 01:29:20,788] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.1866194Z  - 
2022-11-23T01:32:38.1866313Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.1866364Z             {
2022-11-23T01:32:38.1866533Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.1866720Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.1866841Z                 'obj_weakref': None
2022-11-23T01:32:38.1867063Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.1867129Z             }
2022-11-23T01:32:38.1867192Z             
2022-11-23T01:32:38.1867247Z  - 
2022-11-23T01:32:38.1867371Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.1867435Z             {
2022-11-23T01:32:38.1867577Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1867688Z                 'code': None,
2022-11-23T01:32:38.1867894Z                 'obj_weakref': <weakref at 0x7f70f2965ad0; to 'Tensor' at 0x7f7106792890>
2022-11-23T01:32:38.1868144Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1868209Z             }
2022-11-23T01:32:38.1868260Z             
2022-11-23T01:32:38.1868329Z  - 
2022-11-23T01:32:38.1868459Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.1868521Z             {
2022-11-23T01:32:38.1868652Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.1868819Z                 'code': ['___check_obj_id(model, 140123720090112)'],
2022-11-23T01:32:38.1868924Z                 'obj_weakref': None
2022-11-23T01:32:38.1869148Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.1869212Z             }
2022-11-23T01:32:38.1869274Z             
2022-11-23T01:32:38.1869342Z  - 
2022-11-23T01:32:38.1869468Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.1869531Z             {
2022-11-23T01:32:38.1869651Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.1869865Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.1869983Z                 'obj_weakref': None
2022-11-23T01:32:38.1870199Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.1870262Z             }
2022-11-23T01:32:38.1870324Z             
2022-11-23T01:32:38.1870392Z  - 
2022-11-23T01:32:38.1870512Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.1870577Z             {
2022-11-23T01:32:38.1870697Z                 'guard_types': None,
2022-11-23T01:32:38.1870803Z                 'code': None,
2022-11-23T01:32:38.1870919Z                 'obj_weakref': None
2022-11-23T01:32:38.1871038Z                 'guarded_class': None
2022-11-23T01:32:38.1871105Z             }
2022-11-23T01:32:38.1871157Z             
2022-11-23T01:32:38.1871417Z [2022-11-23 01:29:20,824] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 412
2022-11-23T01:32:38.1871786Z [2022-11-23 01:29:23,398] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a4/ca4d2dloouiywnhvihvqaa7t77wpuaavt747nbd2otxeblccmv62.py
2022-11-23T01:32:38.1872049Z [2022-11-23 01:29:23,398] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 412
2022-11-23T01:32:38.1872054Z 
2022-11-23T01:32:38.1872147Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.1872217Z import torch
2022-11-23T01:32:38.1872288Z import random
2022-11-23T01:32:38.1872402Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.1872511Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.1872516Z 
2022-11-23T01:32:38.1872595Z aten = torch.ops.aten
2022-11-23T01:32:38.1872728Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.1872849Z async_compile = AsyncCompile()
2022-11-23T01:32:38.1872855Z 
2022-11-23T01:32:38.1872859Z 
2022-11-23T01:32:38.1872991Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.1873197Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.1873368Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.1873469Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.1873552Z                        bool* __restrict__ out_ptr1)
2022-11-23T01:32:38.1873613Z {
2022-11-23T01:32:38.1873710Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.1873772Z     {
2022-11-23T01:32:38.1873848Z         #pragma omp for 
2022-11-23T01:32:38.1873930Z         for(long i0=0; i0<16; i0+=1)
2022-11-23T01:32:38.1873993Z         {
2022-11-23T01:32:38.1874043Z             {
2022-11-23T01:32:38.1874106Z                 {
2022-11-23T01:32:38.1874196Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.1874304Z                     auto tmp1 = static_cast<float>(3.0);
2022-11-23T01:32:38.1874430Z                     auto tmp2 = std::max(tmp0, tmp1);
2022-11-23T01:32:38.1874532Z                     auto tmp3 = static_cast<float>(3);
2022-11-23T01:32:38.1874625Z                     auto tmp4 = tmp0 >= tmp3;
2022-11-23T01:32:38.1874699Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.1874783Z                     out_ptr1[i0] = tmp4;
2022-11-23T01:32:38.1874849Z                 }
2022-11-23T01:32:38.1874911Z             }
2022-11-23T01:32:38.1874974Z         }
2022-11-23T01:32:38.1875036Z     }
2022-11-23T01:32:38.1875096Z }
2022-11-23T01:32:38.1875161Z ''')
2022-11-23T01:32:38.1875166Z 
2022-11-23T01:32:38.1875170Z 
2022-11-23T01:32:38.1875259Z async_compile.wait(globals())
2022-11-23T01:32:38.1875331Z del async_compile
2022-11-23T01:32:38.1875336Z 
2022-11-23T01:32:38.1875405Z def call(args):
2022-11-23T01:32:38.1875480Z     primals_1, = args
2022-11-23T01:32:38.1875550Z     args.clear()
2022-11-23T01:32:38.1875745Z     buf0 = empty_strided((16, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1875920Z     buf1 = empty_strided((16, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:38.1876090Z     kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()))
2022-11-23T01:32:38.1876162Z     del primals_1
2022-11-23T01:32:38.1876240Z     return (buf0, buf1, )
2022-11-23T01:32:38.1876245Z 
2022-11-23T01:32:38.1876249Z 
2022-11-23T01:32:38.1876324Z if __name__ == "__main__":
2022-11-23T01:32:38.1876438Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.1876560Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.1876760Z     primals_1 = rand_strided((16, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1876859Z     print_performance(lambda: call([primals_1]))
2022-11-23T01:32:38.1876864Z 
2022-11-23T01:32:38.1876929Z ok (2.638s)
2022-11-23T01:32:38.1877373Z   test_vertical_fusion1_cpu (__main__.CpuTests) ... [2022-11-23 01:29:23,613] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.1877646Z [2022-11-23 01:29:23,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.1877870Z [2022-11-23 01:29:23,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.1878124Z [2022-11-23 01:29:23,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.1878410Z [2022-11-23 01:29:23,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.1878735Z [2022-11-23 01:29:23,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.1879059Z [2022-11-23 01:29:23,614] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6468c90, file "inductor/test_torchinductor.py", line 702> 
2022-11-23T01:32:38.1879281Z  704           0 LOAD_CONST               1 (-3.087032500374211e-07)
2022-11-23T01:32:38.1879360Z               2 STORE_FAST               3 (v17)
2022-11-23T01:32:38.1879365Z 
2022-11-23T01:32:38.1879579Z 705           4 LOAD_CONST               2 (-1.988366587925593e-08)
2022-11-23T01:32:38.1879673Z               6 STORE_FAST               4 (v18)
2022-11-23T01:32:38.1879678Z 
2022-11-23T01:32:38.1879841Z 706           8 LOAD_CONST               3 (-1.061519070296458e-11)
2022-11-23T01:32:38.1879930Z              10 STORE_FAST               5 (v19)
2022-11-23T01:32:38.1879936Z 
2022-11-23T01:32:38.1880099Z 707          12 LOAD_CONST               4 (1.55093272922008e-10)
2022-11-23T01:32:38.1880189Z              14 STORE_FAST               6 (v20)
2022-11-23T01:32:38.1880194Z 
2022-11-23T01:32:38.1880284Z 708          16 LOAD_FAST                5 (v19)
2022-11-23T01:32:38.1880361Z              18 LOAD_FAST                1 (ct)
2022-11-23T01:32:38.1880444Z              20 BINARY_MULTIPLY
2022-11-23T01:32:38.1880532Z              22 STORE_FAST               7 (t15)
2022-11-23T01:32:38.1880538Z 
2022-11-23T01:32:38.1880624Z 709          24 LOAD_FAST                3 (v17)
2022-11-23T01:32:38.1880718Z              26 LOAD_FAST                1 (ct)
2022-11-23T01:32:38.1880807Z              28 LOAD_FAST                4 (v18)
2022-11-23T01:32:38.1880894Z              30 LOAD_FAST                7 (t15)
2022-11-23T01:32:38.1880968Z              32 BINARY_ADD
2022-11-23T01:32:38.1881034Z              34 BINARY_MULTIPLY
2022-11-23T01:32:38.1881106Z              36 BINARY_ADD
2022-11-23T01:32:38.1881194Z              38 LOAD_FAST                6 (v20)
2022-11-23T01:32:38.1881284Z              40 LOAD_FAST                0 (sa)
2022-11-23T01:32:38.1881362Z              42 BINARY_MULTIPLY
2022-11-23T01:32:38.1881434Z              44 BINARY_ADD
2022-11-23T01:32:38.1881523Z              46 STORE_FAST               8 (t19)
2022-11-23T01:32:38.1881530Z 
2022-11-23T01:32:38.1881603Z 710          48 LOAD_CONST               5 (1.0)
2022-11-23T01:32:38.1881688Z              50 LOAD_FAST                8 (t19)
2022-11-23T01:32:38.1881773Z              52 BINARY_TRUE_DIVIDE
2022-11-23T01:32:38.1881861Z              54 STORE_FAST               9 (t20)
2022-11-23T01:32:38.1881868Z 
2022-11-23T01:32:38.1881955Z 711          56 LOAD_FAST                8 (t19)
2022-11-23T01:32:38.1882047Z              58 LOAD_FAST                2 (p)
2022-11-23T01:32:38.1882125Z              60 BINARY_MULTIPLY
2022-11-23T01:32:38.1882202Z              62 STORE_FAST              10 (t128)
2022-11-23T01:32:38.1882220Z 
2022-11-23T01:32:38.1882293Z 712          64 LOAD_FAST                9 (t20)
2022-11-23T01:32:38.1882381Z              66 LOAD_FAST               10 (t128)
2022-11-23T01:32:38.1882452Z              68 BINARY_ADD
2022-11-23T01:32:38.1882528Z              70 RETURN_VALUE
2022-11-23T01:32:38.1882590Z  
2022-11-23T01:32:38.1882595Z 
2022-11-23T01:32:38.1882868Z [2022-11-23 01:29:23,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:704
2022-11-23T01:32:38.1883109Z [2022-11-23 01:29:23,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -3.087032500374211e-07 []
2022-11-23T01:32:38.1883353Z [2022-11-23 01:29:23,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v17 [ConstantVariable(float)]
2022-11-23T01:32:38.1883618Z [2022-11-23 01:29:23,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:705
2022-11-23T01:32:38.1883855Z [2022-11-23 01:29:23,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1.988366587925593e-08 []
2022-11-23T01:32:38.1884106Z [2022-11-23 01:29:23,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v18 [ConstantVariable(float)]
2022-11-23T01:32:38.1884369Z [2022-11-23 01:29:23,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:706
2022-11-23T01:32:38.1884605Z [2022-11-23 01:29:23,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1.061519070296458e-11 []
2022-11-23T01:32:38.1884887Z [2022-11-23 01:29:23,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v19 [ConstantVariable(float)]
2022-11-23T01:32:38.1885174Z [2022-11-23 01:29:23,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:707
2022-11-23T01:32:38.1885411Z [2022-11-23 01:29:23,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.55093272922008e-10 []
2022-11-23T01:32:38.1885657Z [2022-11-23 01:29:23,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v20 [ConstantVariable(float)]
2022-11-23T01:32:38.1885904Z [2022-11-23 01:29:23,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:708
2022-11-23T01:32:38.1886115Z [2022-11-23 01:29:23,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v19 []
2022-11-23T01:32:38.1886362Z [2022-11-23 01:29:23,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ct [ConstantVariable(float)]
2022-11-23T01:32:38.1886658Z [2022-11-23 01:29:23,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:38.1886899Z [2022-11-23 01:29:23,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t15 [TensorVariable()]
2022-11-23T01:32:38.1887165Z [2022-11-23 01:29:23,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:709
2022-11-23T01:32:38.1887376Z [2022-11-23 01:29:23,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v17 []
2022-11-23T01:32:38.1887624Z [2022-11-23 01:29:23,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ct [ConstantVariable(float)]
2022-11-23T01:32:38.1887902Z [2022-11-23 01:29:23,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v18 [ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:38.1888208Z [2022-11-23 01:29:23,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t15 [ConstantVariable(float), TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:38.1888563Z [2022-11-23 01:29:23,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ConstantVariable(float), TensorVariable(), ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:38.1888887Z [2022-11-23 01:29:23,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(float), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1889170Z [2022-11-23 01:29:23,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:38.1889408Z [2022-11-23 01:29:23,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v20 [TensorVariable()]
2022-11-23T01:32:38.1889684Z [2022-11-23 01:29:23,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sa [TensorVariable(), ConstantVariable(float)]
2022-11-23T01:32:38.1890005Z [2022-11-23 01:29:23,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:38.1890276Z [2022-11-23 01:29:23,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1890517Z [2022-11-23 01:29:23,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t19 [TensorVariable()]
2022-11-23T01:32:38.1890780Z [2022-11-23 01:29:23,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:710
2022-11-23T01:32:38.1890979Z [2022-11-23 01:29:23,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 []
2022-11-23T01:32:38.1891228Z [2022-11-23 01:29:23,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t19 [ConstantVariable(float)]
2022-11-23T01:32:38.1891523Z [2022-11-23 01:29:23,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:38.1891759Z [2022-11-23 01:29:23,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t20 [TensorVariable()]
2022-11-23T01:32:38.1892052Z [2022-11-23 01:29:23,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:711
2022-11-23T01:32:38.1892263Z [2022-11-23 01:29:23,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t19 []
2022-11-23T01:32:38.1892532Z [2022-11-23 01:29:23,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST p [TensorVariable()]
2022-11-23T01:32:38.1892814Z [2022-11-23 01:29:23,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1893057Z [2022-11-23 01:29:23,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t128 [TensorVariable()]
2022-11-23T01:32:38.1893319Z [2022-11-23 01:29:23,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:712
2022-11-23T01:32:38.1893514Z [2022-11-23 01:29:23,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t20 []
2022-11-23T01:32:38.1893756Z [2022-11-23 01:29:23,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t128 [TensorVariable()]
2022-11-23T01:32:38.1894025Z [2022-11-23 01:29:23,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1894271Z [2022-11-23 01:29:23,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.1894597Z [2022-11-23 01:29:23,634] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6468c90, file "inductor/test_torchinductor.py", line 702>
2022-11-23T01:32:38.1894840Z [2022-11-23 01:29:23,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.1895071Z [2022-11-23 01:29:23,634] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.1895322Z [2022-11-23 01:29:23,637] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.1895571Z [2022-11-23 01:29:23,651] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.1895748Z [2022-11-23 01:29:23,652] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.1895884Z  __compiled_fn_421 <eval_with_key>.2605 opcode, name, target, args, kwargs
2022-11-23T01:32:38.1895973Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.1896060Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.1896144Z placeholder, ex_2_, ex_2_, (), {}
2022-11-23T01:32:38.1896345Z call_function, mul, <built-in function mul>, (-1.061519070296458e-11, ex_1_), {}
2022-11-23T01:32:38.1896545Z call_function, add, <built-in function add>, (-1.988366587925593e-08, mul), {}
2022-11-23T01:32:38.1896707Z call_function, mul_1, <built-in function mul>, (ex_1_, add), {}
2022-11-23T01:32:38.1896911Z call_function, add_1, <built-in function add>, (-3.087032500374211e-07, mul_1), {}
2022-11-23T01:32:38.1897105Z call_function, mul_2, <built-in function mul>, (1.55093272922008e-10, ex_0_), {}
2022-11-23T01:32:38.1897286Z call_function, add_2, <built-in function add>, (add_1, mul_2), {}
2022-11-23T01:32:38.1897476Z call_function, truediv, <built-in function truediv>, (1.0, add_2), {}
2022-11-23T01:32:38.1897654Z call_function, mul_3, <built-in function mul>, (add_2, ex_2_), {}
2022-11-23T01:32:38.1897837Z call_function, add_3, <built-in function add>, (truediv, mul_3), {}
2022-11-23T01:32:38.1897931Z output, output, output, ((add_3,),), {}
2022-11-23T01:32:38.1897937Z 
2022-11-23T01:32:38.1898212Z [2022-11-23 01:29:23,653] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1898293Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1898384Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1898477Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.1898566Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.1898670Z               8 RETURN_VALUE
2022-11-23T01:32:38.1898675Z 
2022-11-23T01:32:38.1898736Z  
2022-11-23T01:32:38.1899008Z [2022-11-23 01:29:23,653] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1899132Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_421)
2022-11-23T01:32:38.1899222Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1899312Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1899389Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.1899476Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1899563Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.1899638Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.1899713Z              14 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1899800Z              16 LOAD_CONST               3 (2)
2022-11-23T01:32:38.1899874Z              18 BINARY_SUBSCR
2022-11-23T01:32:38.1899962Z              20 CALL_FUNCTION            3
2022-11-23T01:32:38.1900056Z              22 UNPACK_SEQUENCE          1
2022-11-23T01:32:38.1900130Z              24 RETURN_VALUE
2022-11-23T01:32:38.1900136Z 
2022-11-23T01:32:38.1900196Z  
2022-11-23T01:32:38.1900378Z [2022-11-23 01:29:23,654] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.1900436Z  - 
2022-11-23T01:32:38.1900554Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.1900618Z             {
2022-11-23T01:32:38.1900758Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.1900945Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 3'],
2022-11-23T01:32:38.1901064Z                 'obj_weakref': None
2022-11-23T01:32:38.1901289Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.1901340Z             }
2022-11-23T01:32:38.1901404Z             
2022-11-23T01:32:38.1901476Z  - 
2022-11-23T01:32:38.1901599Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.1901664Z             {
2022-11-23T01:32:38.1901807Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1901914Z                 'code': None,
2022-11-23T01:32:38.1902108Z                 'obj_weakref': <weakref at 0x7f71067a41d0; to 'Tensor' at 0x7f70f2e173b0>
2022-11-23T01:32:38.1902357Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1902421Z             }
2022-11-23T01:32:38.1902484Z             
2022-11-23T01:32:38.1902553Z  - 
2022-11-23T01:32:38.1902674Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.1902737Z             {
2022-11-23T01:32:38.1902865Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1902970Z                 'code': None,
2022-11-23T01:32:38.1903174Z                 'obj_weakref': <weakref at 0x7f70f2962710; to 'Tensor' at 0x7f7106e196b0>
2022-11-23T01:32:38.1903423Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1903489Z             }
2022-11-23T01:32:38.1903555Z             
2022-11-23T01:32:38.1903623Z  - 
2022-11-23T01:32:38.1903732Z             local 'ex[2]' TENSOR_MATCH
2022-11-23T01:32:38.1903798Z             {
2022-11-23T01:32:38.1903941Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1904046Z                 'code': None,
2022-11-23T01:32:38.1904251Z                 'obj_weakref': <weakref at 0x7f7106d133b0; to 'Tensor' at 0x7f7106cfb9b0>
2022-11-23T01:32:38.1904576Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1904640Z             }
2022-11-23T01:32:38.1904690Z             
2022-11-23T01:32:38.1904760Z  - 
2022-11-23T01:32:38.1904892Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.1904955Z             {
2022-11-23T01:32:38.1905089Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.1905258Z                 'code': ['___check_obj_id(model, 140123094805680)'],
2022-11-23T01:32:38.1905420Z                 'obj_weakref': None
2022-11-23T01:32:38.1905633Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.1905695Z             }
2022-11-23T01:32:38.1905758Z             
2022-11-23T01:32:38.1905853Z  - 
2022-11-23T01:32:38.1905975Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.1906037Z             {
2022-11-23T01:32:38.1906171Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.1906372Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.1906488Z                 'obj_weakref': None
2022-11-23T01:32:38.1906705Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.1906767Z             }
2022-11-23T01:32:38.1906830Z             
2022-11-23T01:32:38.1907093Z [2022-11-23 01:29:23,678] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 413
2022-11-23T01:32:38.1907458Z [2022-11-23 01:29:26,250] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fq/cfqpbto255g47ypqm2bcgmbez7xk3n2dwpb7fzrmmgc2i2swfzdu.py
2022-11-23T01:32:38.1907722Z [2022-11-23 01:29:26,251] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 413
2022-11-23T01:32:38.1907728Z 
2022-11-23T01:32:38.1907807Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.1907875Z import torch
2022-11-23T01:32:38.1907944Z import random
2022-11-23T01:32:38.1908057Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.1908178Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.1908183Z 
2022-11-23T01:32:38.1908260Z aten = torch.ops.aten
2022-11-23T01:32:38.1908394Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.1908473Z async_compile = AsyncCompile()
2022-11-23T01:32:38.1908492Z 
2022-11-23T01:32:38.1908498Z 
2022-11-23T01:32:38.1908617Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.1908819Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.1908939Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.1909045Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.1909147Z                        const float* __restrict__ in_ptr2,
2022-11-23T01:32:38.1909245Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.1909305Z {
2022-11-23T01:32:38.1909388Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.1909450Z     {
2022-11-23T01:32:38.1909526Z         #pragma omp for 
2022-11-23T01:32:38.1909609Z         for(long i0=0; i0<41616; i0+=1)
2022-11-23T01:32:38.1909672Z         {
2022-11-23T01:32:38.1909754Z             for(long i1=0; i1<1; i1+=1)
2022-11-23T01:32:38.1909818Z             {
2022-11-23T01:32:38.1909955Z                 auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + (16*i1) + (26*i0));
2022-11-23T01:32:38.1910099Z                 auto tmp8 = at::vec::Vectorized<float>::loadu(in_ptr1 + (16*i1) + (26*i0));
2022-11-23T01:32:38.1910233Z                 auto tmp15 = at::vec::Vectorized<float>::loadu(in_ptr2 + 16*i1);
2022-11-23T01:32:38.1910467Z                 auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(-1.061519070296458e-11));
2022-11-23T01:32:38.1910557Z                 auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.1910780Z                 auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(-1.988366587925593e-08));
2022-11-23T01:32:38.1910867Z                 auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.1910956Z                 auto tmp5 = tmp0 * tmp4;
2022-11-23T01:32:38.1911178Z                 auto tmp6 = at::vec::Vectorized<float>(static_cast<float>(-3.087032500374211e-07));
2022-11-23T01:32:38.1911251Z                 auto tmp7 = tmp5 + tmp6;
2022-11-23T01:32:38.1911470Z                 auto tmp9 = at::vec::Vectorized<float>(static_cast<float>(1.55093272922008e-10));
2022-11-23T01:32:38.1911599Z                 auto tmp10 = tmp8 * tmp9;
2022-11-23T01:32:38.1911688Z                 auto tmp11 = tmp7 + tmp10;
2022-11-23T01:32:38.1911790Z                 auto tmp12 = tmp11.reciprocal();
2022-11-23T01:32:38.1911953Z                 auto tmp13 = at::vec::Vectorized<float>(static_cast<float>(1.0));
2022-11-23T01:32:38.1912046Z                 auto tmp14 = tmp12 * tmp13;
2022-11-23T01:32:38.1912122Z                 auto tmp16 = tmp11 * tmp15;
2022-11-23T01:32:38.1912211Z                 auto tmp17 = tmp14 + tmp16;
2022-11-23T01:32:38.1912317Z                 tmp17.store(out_ptr0 + (16*i1) + (26*i0));
2022-11-23T01:32:38.1912381Z             }
2022-11-23T01:32:38.1912472Z             #pragma omp simd simdlen(8) 
2022-11-23T01:32:38.1912557Z             for(long i1=16; i1<26; i1+=1)
2022-11-23T01:32:38.1912621Z             {
2022-11-23T01:32:38.1912704Z                 auto tmp0 = in_ptr0[i1 + (26*i0)];
2022-11-23T01:32:38.1912800Z                 auto tmp8 = in_ptr1[i1 + (26*i0)];
2022-11-23T01:32:38.1912887Z                 auto tmp15 = in_ptr2[i1];
2022-11-23T01:32:38.1913066Z                 auto tmp1 = static_cast<float>(-1.061519070296458e-11);
2022-11-23T01:32:38.1913153Z                 auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.1913332Z                 auto tmp3 = static_cast<float>(-1.988366587925593e-08);
2022-11-23T01:32:38.1913419Z                 auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.1913502Z                 auto tmp5 = tmp0 * tmp4;
2022-11-23T01:32:38.1913664Z                 auto tmp6 = static_cast<float>(-3.087032500374211e-07);
2022-11-23T01:32:38.1913750Z                 auto tmp7 = tmp5 + tmp6;
2022-11-23T01:32:38.1913926Z                 auto tmp9 = static_cast<float>(1.55093272922008e-10);
2022-11-23T01:32:38.1914013Z                 auto tmp10 = tmp8 * tmp9;
2022-11-23T01:32:38.1914102Z                 auto tmp11 = tmp7 + tmp10;
2022-11-23T01:32:38.1914186Z                 auto tmp12 = 1 / tmp11;
2022-11-23T01:32:38.1914290Z                 auto tmp13 = static_cast<float>(1.0);
2022-11-23T01:32:38.1914367Z                 auto tmp14 = tmp12 * tmp13;
2022-11-23T01:32:38.1914456Z                 auto tmp16 = tmp11 * tmp15;
2022-11-23T01:32:38.1914543Z                 auto tmp17 = tmp14 + tmp16;
2022-11-23T01:32:38.1914635Z                 out_ptr0[i1 + (26*i0)] = tmp17;
2022-11-23T01:32:38.1914699Z             }
2022-11-23T01:32:38.1914762Z         }
2022-11-23T01:32:38.1914825Z     }
2022-11-23T01:32:38.1914872Z }
2022-11-23T01:32:38.1914949Z ''')
2022-11-23T01:32:38.1914954Z 
2022-11-23T01:32:38.1914959Z 
2022-11-23T01:32:38.1915050Z async_compile.wait(globals())
2022-11-23T01:32:38.1915122Z del async_compile
2022-11-23T01:32:38.1915127Z 
2022-11-23T01:32:38.1915197Z def call(args):
2022-11-23T01:32:38.1915279Z     arg0_1, arg1_1, arg2_1 = args
2022-11-23T01:32:38.1915352Z     args.clear()
2022-11-23T01:32:38.1915552Z     buf0 = empty_strided((204, 204, 26), (5304, 26, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1915742Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.1915810Z     del arg0_1
2022-11-23T01:32:38.1915875Z     del arg1_1
2022-11-23T01:32:38.1915940Z     del arg2_1
2022-11-23T01:32:38.1916013Z     return (buf0, )
2022-11-23T01:32:38.1916019Z 
2022-11-23T01:32:38.1916023Z 
2022-11-23T01:32:38.1916098Z if __name__ == "__main__":
2022-11-23T01:32:38.1916214Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.1916323Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.1916535Z     arg0_1 = rand_strided((204, 204, 26), (5304, 26, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1916745Z     arg1_1 = rand_strided((204, 204, 26), (5304, 26, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1916937Z     arg2_1 = rand_strided((26, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.1917059Z     print_performance(lambda: call([arg0_1, arg1_1, arg2_1]))
2022-11-23T01:32:38.1917096Z 
2022-11-23T01:32:38.1917268Z ok (3.150s)
2022-11-23T01:32:38.1917574Z   test_views1_cpu (__main__.CpuTests) ... [2022-11-23 01:29:26,561] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.1917901Z [2022-11-23 01:29:26,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.1918107Z [2022-11-23 01:29:26,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.1918359Z [2022-11-23 01:29:26,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.1918643Z [2022-11-23 01:29:26,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.1918966Z [2022-11-23 01:29:26,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.1919296Z [2022-11-23 01:29:26,562] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:38.1919390Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1919487Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.1919582Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.1919670Z               6 CALL_METHOD              1
2022-11-23T01:32:38.1919747Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:38.1919822Z              10 BINARY_ADD
2022-11-23T01:32:38.1919912Z              12 BUILD_TUPLE              1
2022-11-23T01:32:38.1919991Z              14 RETURN_VALUE
2022-11-23T01:32:38.1920053Z  
2022-11-23T01:32:38.1920058Z 
2022-11-23T01:32:38.1920327Z [2022-11-23 01:29:26,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940
2022-11-23T01:32:38.1920535Z [2022-11-23 01:29:26,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.1920780Z [2022-11-23 01:29:26,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.1921050Z [2022-11-23 01:29:26,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.1921354Z [2022-11-23 01:29:26,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.1921589Z [2022-11-23 01:29:26,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.1921861Z [2022-11-23 01:29:26,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1922104Z [2022-11-23 01:29:26,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.1922349Z [2022-11-23 01:29:26,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1922682Z [2022-11-23 01:29:26,568] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:38.1922926Z [2022-11-23 01:29:26,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1923157Z [2022-11-23 01:29:26,568] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.1923396Z [2022-11-23 01:29:26,570] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.1923644Z [2022-11-23 01:29:26,575] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.1923830Z [2022-11-23 01:29:26,576] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.1923965Z  __compiled_fn_422 <eval_with_key>.2611 opcode, name, target, args, kwargs
2022-11-23T01:32:38.1924101Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.1924190Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.1924289Z call_method, view, view, (ex_0_, [5, 7]), {}
2022-11-23T01:32:38.1924468Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.1924594Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.1924600Z 
2022-11-23T01:32:38.1924877Z [2022-11-23 01:29:26,576] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1924972Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1925063Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1925162Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.1925253Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.1925333Z               8 RETURN_VALUE
2022-11-23T01:32:38.1925338Z 
2022-11-23T01:32:38.1925400Z  
2022-11-23T01:32:38.1925659Z [2022-11-23 01:29:26,577] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1925769Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_422)
2022-11-23T01:32:38.1925859Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1925950Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1926028Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.1926117Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1926206Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.1926267Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.1926356Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.1926462Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.1926592Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.1926690Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.1926779Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.1926878Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.1926979Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1927055Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1927131Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.1927221Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.1927314Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1927413Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.1927500Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1927576Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.1927664Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.1927754Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1927851Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.1927939Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1928018Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.1928118Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.1928191Z              54 RETURN_VALUE
2022-11-23T01:32:38.1928199Z 
2022-11-23T01:32:38.1928246Z  
2022-11-23T01:32:38.1928432Z [2022-11-23 01:29:26,579] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.1928502Z  - 
2022-11-23T01:32:38.1928620Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.1928684Z             {
2022-11-23T01:32:38.1928824Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.1929008Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.1929114Z                 'obj_weakref': None
2022-11-23T01:32:38.1929337Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.1929401Z             }
2022-11-23T01:32:38.1929463Z             
2022-11-23T01:32:38.1929533Z  - 
2022-11-23T01:32:38.1929688Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.1929752Z             {
2022-11-23T01:32:38.1929881Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1929986Z                 'code': None,
2022-11-23T01:32:38.1930220Z                 'obj_weakref': <weakref at 0x7f7106d09e90; to 'Tensor' at 0x7f7106cfb9b0>
2022-11-23T01:32:38.1930471Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1930535Z             }
2022-11-23T01:32:38.1930598Z             
2022-11-23T01:32:38.1930667Z  - 
2022-11-23T01:32:38.1930777Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.1930840Z             {
2022-11-23T01:32:38.1930982Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1931089Z                 'code': None,
2022-11-23T01:32:38.1931295Z                 'obj_weakref': <weakref at 0x7f7106d134d0; to 'Tensor' at 0x7f71067a4590>
2022-11-23T01:32:38.1931541Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1931608Z             }
2022-11-23T01:32:38.1931657Z             
2022-11-23T01:32:38.1931725Z  - 
2022-11-23T01:32:38.1931855Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.1931917Z             {
2022-11-23T01:32:38.1932053Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.1932220Z                 'code': ['___check_obj_id(model, 140123394745408)'],
2022-11-23T01:32:38.1932338Z                 'obj_weakref': None
2022-11-23T01:32:38.1932552Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.1932618Z             }
2022-11-23T01:32:38.1932681Z             
2022-11-23T01:32:38.1932748Z  - 
2022-11-23T01:32:38.1932868Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.1932930Z             {
2022-11-23T01:32:38.1933065Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.1933270Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.1933387Z                 'obj_weakref': None
2022-11-23T01:32:38.1933605Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.1933670Z             }
2022-11-23T01:32:38.1933734Z             
2022-11-23T01:32:38.1933802Z  - 
2022-11-23T01:32:38.1933979Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.1934030Z             {
2022-11-23T01:32:38.1934196Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.1934741Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents == [5, 7]'],
2022-11-23T01:32:38.1934863Z                 'obj_weakref': None
2022-11-23T01:32:38.1935081Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.1935145Z             }
2022-11-23T01:32:38.1935207Z             
2022-11-23T01:32:38.1935276Z  - 
2022-11-23T01:32:38.1935449Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.1935512Z             {
2022-11-23T01:32:38.1935654Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.1935935Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 5'],
2022-11-23T01:32:38.1936053Z                 'obj_weakref': None
2022-11-23T01:32:38.1936270Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.1936335Z             }
2022-11-23T01:32:38.1936397Z             
2022-11-23T01:32:38.1936452Z  - 
2022-11-23T01:32:38.1936673Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.1936737Z             {
2022-11-23T01:32:38.1936878Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.1937187Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 7'],
2022-11-23T01:32:38.1937305Z                 'obj_weakref': None
2022-11-23T01:32:38.1937522Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.1937572Z             }
2022-11-23T01:32:38.1937635Z             
2022-11-23T01:32:38.1937895Z [2022-11-23 01:29:26,591] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 414
2022-11-23T01:32:38.1938263Z [2022-11-23 01:29:29,121] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/q3/cq35xyknwca5mp2jsqva7kneq7vogimqh4hzqnmvx3d6lp5l2onf.py
2022-11-23T01:32:38.1938526Z [2022-11-23 01:29:29,121] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 414
2022-11-23T01:32:38.1938765Z [2022-11-23 01:29:29,130] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.1939036Z [2022-11-23 01:29:29,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.1939251Z [2022-11-23 01:29:29,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.1939504Z [2022-11-23 01:29:29,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.1939775Z [2022-11-23 01:29:29,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.1940096Z [2022-11-23 01:29:29,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.1940426Z [2022-11-23 01:29:29,131] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:38.1940517Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1940611Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:38.1940687Z               4 BINARY_ADD
2022-11-23T01:32:38.1940781Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.1940874Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.1940947Z              10 CALL_METHOD              1
2022-11-23T01:32:38.1941035Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:38.1941108Z              14 BINARY_ADD
2022-11-23T01:32:38.1941196Z              16 BUILD_TUPLE              1
2022-11-23T01:32:38.1941272Z              18 RETURN_VALUE
2022-11-23T01:32:38.1941332Z  
2022-11-23T01:32:38.1941338Z 
2022-11-23T01:32:38.1941605Z [2022-11-23 01:29:29,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943
2022-11-23T01:32:38.1941801Z [2022-11-23 01:29:29,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.1942040Z [2022-11-23 01:29:29,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:38.1942320Z [2022-11-23 01:29:29,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1942561Z [2022-11-23 01:29:29,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.1942839Z [2022-11-23 01:29:29,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.1943143Z [2022-11-23 01:29:29,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.1943380Z [2022-11-23 01:29:29,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.1943680Z [2022-11-23 01:29:29,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1943919Z [2022-11-23 01:29:29,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.1944195Z [2022-11-23 01:29:29,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1944594Z [2022-11-23 01:29:29,139] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:38.1944841Z [2022-11-23 01:29:29,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1945073Z [2022-11-23 01:29:29,139] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.1945326Z [2022-11-23 01:29:29,141] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.1945578Z [2022-11-23 01:29:29,148] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.1945766Z [2022-11-23 01:29:29,148] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.1945905Z  __compiled_fn_423 <eval_with_key>.2617 opcode, name, target, args, kwargs
2022-11-23T01:32:38.1945995Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.1946069Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.1946241Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:38.1946338Z call_method, view, view, (add, [5, 7]), {}
2022-11-23T01:32:38.1946516Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.1946614Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:38.1946619Z 
2022-11-23T01:32:38.1946898Z [2022-11-23 01:29:29,149] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1946994Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1947089Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1947168Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.1947259Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.1947338Z               8 RETURN_VALUE
2022-11-23T01:32:38.1947344Z 
2022-11-23T01:32:38.1947410Z  
2022-11-23T01:32:38.1947683Z [2022-11-23 01:29:29,149] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1947790Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_423)
2022-11-23T01:32:38.1947880Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1947969Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1948032Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.1948123Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1948209Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.1948286Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.1948374Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.1948477Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.1948608Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.1948690Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.1948778Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.1948873Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.1948975Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1949063Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1949138Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.1949225Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.1949304Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1949404Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.1949532Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1949606Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.1949708Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.1949798Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1949954Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.1950043Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1950106Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.1950205Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.1950281Z              54 RETURN_VALUE
2022-11-23T01:32:38.1950286Z 
2022-11-23T01:32:38.1950350Z  
2022-11-23T01:32:38.1950536Z [2022-11-23 01:29:29,151] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.1950610Z  - 
2022-11-23T01:32:38.1950729Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.1950780Z             {
2022-11-23T01:32:38.1950920Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.1951111Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.1951231Z                 'obj_weakref': None
2022-11-23T01:32:38.1951458Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.1951525Z             }
2022-11-23T01:32:38.1951590Z             
2022-11-23T01:32:38.1951645Z  - 
2022-11-23T01:32:38.1951768Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.1951831Z             {
2022-11-23T01:32:38.1951972Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1952078Z                 'code': None,
2022-11-23T01:32:38.1952287Z                 'obj_weakref': <weakref at 0x7f711e634a10; to 'Tensor' at 0x7f7112cd5770>
2022-11-23T01:32:38.1952535Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1952585Z             }
2022-11-23T01:32:38.1952652Z             
2022-11-23T01:32:38.1952720Z  - 
2022-11-23T01:32:38.1952843Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.1952906Z             {
2022-11-23T01:32:38.1953046Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1953154Z                 'code': None,
2022-11-23T01:32:38.1953350Z                 'obj_weakref': <weakref at 0x7f711e634fb0; to 'Tensor' at 0x7f7112cd5410>
2022-11-23T01:32:38.1953598Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1953661Z             }
2022-11-23T01:32:38.1953722Z             
2022-11-23T01:32:38.1953794Z  - 
2022-11-23T01:32:38.1953924Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.1953986Z             {
2022-11-23T01:32:38.1954110Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.1954280Z                 'code': ['___check_obj_id(model, 140123394746992)'],
2022-11-23T01:32:38.1954398Z                 'obj_weakref': None
2022-11-23T01:32:38.1954629Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.1954692Z             }
2022-11-23T01:32:38.1954755Z             
2022-11-23T01:32:38.1954822Z  - 
2022-11-23T01:32:38.1954932Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.1954995Z             {
2022-11-23T01:32:38.1955130Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.1955346Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.1955463Z                 'obj_weakref': None
2022-11-23T01:32:38.1955681Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.1955743Z             }
2022-11-23T01:32:38.1955792Z             
2022-11-23T01:32:38.1955863Z  - 
2022-11-23T01:32:38.1956040Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.1956139Z             {
2022-11-23T01:32:38.1956307Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.1956873Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents == [5, 7]'],
2022-11-23T01:32:38.1956993Z                 'obj_weakref': None
2022-11-23T01:32:38.1957319Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.1957371Z             }
2022-11-23T01:32:38.1957436Z             
2022-11-23T01:32:38.1957506Z  - 
2022-11-23T01:32:38.1957692Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.1957759Z             {
2022-11-23T01:32:38.1957902Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.1958186Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 5'],
2022-11-23T01:32:38.1958291Z                 'obj_weakref': None
2022-11-23T01:32:38.1958512Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.1958577Z             }
2022-11-23T01:32:38.1958641Z             
2022-11-23T01:32:38.1958711Z  - 
2022-11-23T01:32:38.1958893Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.1958956Z             {
2022-11-23T01:32:38.1959084Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.1959369Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 7'],
2022-11-23T01:32:38.1959488Z                 'obj_weakref': None
2022-11-23T01:32:38.1959706Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.1959772Z             }
2022-11-23T01:32:38.1959835Z             
2022-11-23T01:32:38.1960092Z [2022-11-23 01:29:29,163] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 415
2022-11-23T01:32:38.1960467Z [2022-11-23 01:29:31,741] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sj/csjljffwakafoutnvt7bbelvydmwfv3ik2m6fl27bkiq2rn35vjm.py
2022-11-23T01:32:38.1960718Z [2022-11-23 01:29:31,741] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 415
2022-11-23T01:32:38.1960954Z [2022-11-23 01:29:31,754] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.1961219Z [2022-11-23 01:29:31,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.1961434Z [2022-11-23 01:29:31,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.1961686Z [2022-11-23 01:29:31,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.1961970Z [2022-11-23 01:29:31,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.1962294Z [2022-11-23 01:29:31,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.1962624Z [2022-11-23 01:29:31,755] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:38.1962716Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1962797Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.1962892Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.1962978Z               6 CALL_METHOD              1
2022-11-23T01:32:38.1963068Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:38.1963206Z              10 BINARY_ADD
2022-11-23T01:32:38.1963296Z              12 BUILD_TUPLE              1
2022-11-23T01:32:38.1963375Z              14 RETURN_VALUE
2022-11-23T01:32:38.1963422Z  
2022-11-23T01:32:38.1963441Z 
2022-11-23T01:32:38.1963730Z [2022-11-23 01:29:31,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940
2022-11-23T01:32:38.1963941Z [2022-11-23 01:29:31,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.1964182Z [2022-11-23 01:29:31,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.1964466Z [2022-11-23 01:29:31,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.1964770Z [2022-11-23 01:29:31,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.1965008Z [2022-11-23 01:29:31,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.1965282Z [2022-11-23 01:29:31,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1965528Z [2022-11-23 01:29:31,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.1965773Z [2022-11-23 01:29:31,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1966091Z [2022-11-23 01:29:31,764] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:38.1966335Z [2022-11-23 01:29:31,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1966566Z [2022-11-23 01:29:31,764] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.1966820Z [2022-11-23 01:29:31,767] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.1967070Z [2022-11-23 01:29:31,774] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.1967260Z [2022-11-23 01:29:31,775] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.1967395Z  __compiled_fn_424 <eval_with_key>.2623 opcode, name, target, args, kwargs
2022-11-23T01:32:38.1967485Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.1967572Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.1967667Z call_method, view, view, (ex_0_, [2, 3, 4, 5, 6, 7]), {}
2022-11-23T01:32:38.1967844Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.1967941Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.1967947Z 
2022-11-23T01:32:38.1968225Z [2022-11-23 01:29:31,776] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1968320Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1968412Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1968505Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.1968581Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.1968662Z               8 RETURN_VALUE
2022-11-23T01:32:38.1968667Z 
2022-11-23T01:32:38.1968728Z  
2022-11-23T01:32:38.1968999Z [2022-11-23 01:29:31,776] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1969109Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_424)
2022-11-23T01:32:38.1969198Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1969288Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1969365Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.1969440Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1969528Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.1969636Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.1969724Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.1969827Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.1969956Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.1970090Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.1970168Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.1970264Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.1970364Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1970452Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1970529Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.1970616Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.1970708Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1970794Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.1970884Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1970959Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.1971061Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.1971152Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1971250Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.1971336Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1971412Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.1971500Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.1971574Z              54 RETURN_VALUE
2022-11-23T01:32:38.1971579Z 
2022-11-23T01:32:38.1971640Z  
2022-11-23T01:32:38.1971823Z [2022-11-23 01:29:31,780] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.1971893Z  - 
2022-11-23T01:32:38.1972010Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.1972073Z             {
2022-11-23T01:32:38.1972201Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.1972391Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.1972509Z                 'obj_weakref': None
2022-11-23T01:32:38.1972732Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.1972798Z             }
2022-11-23T01:32:38.1972860Z             
2022-11-23T01:32:38.1972928Z  - 
2022-11-23T01:32:38.1973040Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.1973103Z             {
2022-11-23T01:32:38.1973247Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1973352Z                 'code': None,
2022-11-23T01:32:38.1973558Z                 'obj_weakref': <weakref at 0x7f711e634830; to 'Tensor' at 0x7f7112cd5770>
2022-11-23T01:32:38.1973803Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1973866Z             }
2022-11-23T01:32:38.1973919Z             
2022-11-23T01:32:38.1973987Z  - 
2022-11-23T01:32:38.1974110Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.1974174Z             {
2022-11-23T01:32:38.1974317Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.1974423Z                 'code': None,
2022-11-23T01:32:38.1974631Z                 'obj_weakref': <weakref at 0x7f70f1638e90; to 'Tensor' at 0x7f7112cd5410>
2022-11-23T01:32:38.1974865Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.1974928Z             }
2022-11-23T01:32:38.1974990Z             
2022-11-23T01:32:38.1975057Z  - 
2022-11-23T01:32:38.1975188Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.1975250Z             {
2022-11-23T01:32:38.1975382Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.1975536Z                 'code': ['___check_obj_id(model, 140123394745408)'],
2022-11-23T01:32:38.1975653Z                 'obj_weakref': None
2022-11-23T01:32:38.1975911Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.1975975Z             }
2022-11-23T01:32:38.1976038Z             
2022-11-23T01:32:38.1976106Z  - 
2022-11-23T01:32:38.1976227Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.1976304Z             {
2022-11-23T01:32:38.1976439Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.1976653Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.1976770Z                 'obj_weakref': None
2022-11-23T01:32:38.1976986Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.1977049Z             }
2022-11-23T01:32:38.1977112Z             
2022-11-23T01:32:38.1977167Z  - 
2022-11-23T01:32:38.1977344Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.1977408Z             {
2022-11-23T01:32:38.1977577Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.1978527Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[3], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[4], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[5], 94279403915040)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'],
2022-11-23T01:32:38.1978648Z                 'obj_weakref': None
2022-11-23T01:32:38.1978868Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.1978932Z             }
2022-11-23T01:32:38.1978998Z             
2022-11-23T01:32:38.1979053Z  - 
2022-11-23T01:32:38.1979236Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.1979300Z             {
2022-11-23T01:32:38.1979442Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.1979725Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:32:38.1979843Z                 'obj_weakref': None
2022-11-23T01:32:38.1980059Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.1980109Z             }
2022-11-23T01:32:38.1980171Z             
2022-11-23T01:32:38.1980238Z  - 
2022-11-23T01:32:38.1980423Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.1980487Z             {
2022-11-23T01:32:38.1980629Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.1980906Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 3'],
2022-11-23T01:32:38.1981013Z                 'obj_weakref': None
2022-11-23T01:32:38.1981227Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.1981291Z             }
2022-11-23T01:32:38.1981353Z             
2022-11-23T01:32:38.1981424Z  - 
2022-11-23T01:32:38.1981606Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:38.1981669Z             {
2022-11-23T01:32:38.1981796Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.1982072Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', 'model.__closure__[0].cell_contents[2] == 4'],
2022-11-23T01:32:38.1982189Z                 'obj_weakref': None
2022-11-23T01:32:38.1982402Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.1982507Z             }
2022-11-23T01:32:38.1982570Z             
2022-11-23T01:32:38.1982638Z  - 
2022-11-23T01:32:38.1982822Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:38.1982872Z             {
2022-11-23T01:32:38.1983042Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.1983323Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94279403915040)', 'model.__closure__[0].cell_contents[3] == 5'],
2022-11-23T01:32:38.1983443Z                 'obj_weakref': None
2022-11-23T01:32:38.1983659Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.1983721Z             }
2022-11-23T01:32:38.1983784Z             
2022-11-23T01:32:38.1983838Z  - 
2022-11-23T01:32:38.1984019Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:32:38.1984082Z             {
2022-11-23T01:32:38.1984223Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.1984615Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94279403915040)', 'model.__closure__[0].cell_contents[4] == 6'],
2022-11-23T01:32:38.1984738Z                 'obj_weakref': None
2022-11-23T01:32:38.1984957Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.1985022Z             }
2022-11-23T01:32:38.1985071Z             
2022-11-23T01:32:38.1985140Z  - 
2022-11-23T01:32:38.1985327Z             local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH
2022-11-23T01:32:38.1985391Z             {
2022-11-23T01:32:38.1985533Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.1985813Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 94279403915040)', 'model.__closure__[0].cell_contents[5] == 7'],
2022-11-23T01:32:38.1985930Z                 'obj_weakref': None
2022-11-23T01:32:38.1986133Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.1986199Z             }
2022-11-23T01:32:38.1986264Z             
2022-11-23T01:32:38.1986525Z [2022-11-23 01:29:31,793] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 416
2022-11-23T01:32:38.1986896Z [2022-11-23 01:29:34,371] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/at/cat43snugsp6dgk6ncou46s3znjjtpweyevgj22lvf4qsct33eqw.py
2022-11-23T01:32:38.1987162Z [2022-11-23 01:29:34,371] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 416
2022-11-23T01:32:38.1987400Z [2022-11-23 01:29:34,389] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.1987667Z [2022-11-23 01:29:34,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.1987871Z [2022-11-23 01:29:34,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.1988125Z [2022-11-23 01:29:34,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.1988409Z [2022-11-23 01:29:34,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.1988735Z [2022-11-23 01:29:34,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.1989064Z [2022-11-23 01:29:34,391] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:38.1989155Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.1989245Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:38.1989319Z               4 BINARY_ADD
2022-11-23T01:32:38.1989412Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.1989491Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.1989621Z              10 CALL_METHOD              1
2022-11-23T01:32:38.1989711Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:38.1989783Z              14 BINARY_ADD
2022-11-23T01:32:38.1989871Z              16 BUILD_TUPLE              1
2022-11-23T01:32:38.1989975Z              18 RETURN_VALUE
2022-11-23T01:32:38.1990037Z  
2022-11-23T01:32:38.1990042Z 
2022-11-23T01:32:38.1990295Z [2022-11-23 01:29:34,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943
2022-11-23T01:32:38.1990503Z [2022-11-23 01:29:34,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.1990744Z [2022-11-23 01:29:34,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:38.1991025Z [2022-11-23 01:29:34,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.1991266Z [2022-11-23 01:29:34,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.1991547Z [2022-11-23 01:29:34,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.1991854Z [2022-11-23 01:29:34,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.1992090Z [2022-11-23 01:29:34,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.1992361Z [2022-11-23 01:29:34,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.1992588Z [2022-11-23 01:29:34,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.1992834Z [2022-11-23 01:29:34,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1993167Z [2022-11-23 01:29:34,402] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:38.1993414Z [2022-11-23 01:29:34,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.1993650Z [2022-11-23 01:29:34,402] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.1993902Z [2022-11-23 01:29:34,405] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.1994149Z [2022-11-23 01:29:34,413] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.1994335Z [2022-11-23 01:29:34,414] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.1994469Z  __compiled_fn_425 <eval_with_key>.2629 opcode, name, target, args, kwargs
2022-11-23T01:32:38.1994545Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.1994630Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.1994804Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:38.1994911Z call_method, view, view, (add, [2, 3, 4, 5, 6, 7]), {}
2022-11-23T01:32:38.1995090Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.1995188Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:38.1995193Z 
2022-11-23T01:32:38.1995470Z [2022-11-23 01:29:34,415] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1995563Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1995640Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1995732Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.1995823Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.1995899Z               8 RETURN_VALUE
2022-11-23T01:32:38.1995904Z 
2022-11-23T01:32:38.1995966Z  
2022-11-23T01:32:38.1996236Z [2022-11-23 01:29:34,415] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.1996379Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_425)
2022-11-23T01:32:38.1996469Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1996578Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1996656Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.1996744Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.1996829Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.1996904Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.1996992Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.1997097Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.1997315Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.1997412Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.1997503Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.1997603Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.1997707Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.1997796Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1997874Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.1997952Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.1998045Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1998145Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.1998235Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1998313Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.1998415Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.1998508Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.1998591Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.1998680Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.1998760Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.1998862Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.1998936Z              54 RETURN_VALUE
2022-11-23T01:32:38.1998941Z 
2022-11-23T01:32:38.1999001Z  
2022-11-23T01:32:38.1999191Z [2022-11-23 01:29:34,419] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.1999260Z  - 
2022-11-23T01:32:38.1999366Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.1999430Z             {
2022-11-23T01:32:38.1999571Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.1999758Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.1999880Z                 'obj_weakref': None
2022-11-23T01:32:38.2000105Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2000172Z             }
2022-11-23T01:32:38.2000222Z             
2022-11-23T01:32:38.2000290Z  - 
2022-11-23T01:32:38.2000416Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2000478Z             {
2022-11-23T01:32:38.2000622Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2000730Z                 'code': None,
2022-11-23T01:32:38.2000941Z                 'obj_weakref': <weakref at 0x7f7106d13890; to 'Tensor' at 0x7f711e634290>
2022-11-23T01:32:38.2001175Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2001238Z             }
2022-11-23T01:32:38.2001300Z             
2022-11-23T01:32:38.2001367Z  - 
2022-11-23T01:32:38.2001491Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.2001553Z             {
2022-11-23T01:32:38.2001695Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2001787Z                 'code': None,
2022-11-23T01:32:38.2001994Z                 'obj_weakref': <weakref at 0x7f70f2965ad0; to 'Tensor' at 0x7f711e634e30>
2022-11-23T01:32:38.2002240Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2002365Z             }
2022-11-23T01:32:38.2002431Z             
2022-11-23T01:32:38.2002503Z  - 
2022-11-23T01:32:38.2002633Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2002683Z             {
2022-11-23T01:32:38.2002853Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2003029Z                 'code': ['___check_obj_id(model, 140123394746992)'],
2022-11-23T01:32:38.2003150Z                 'obj_weakref': None
2022-11-23T01:32:38.2003379Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2003444Z             }
2022-11-23T01:32:38.2003509Z             
2022-11-23T01:32:38.2003563Z  - 
2022-11-23T01:32:38.2003685Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2003749Z             {
2022-11-23T01:32:38.2003887Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2004108Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2004227Z                 'obj_weakref': None
2022-11-23T01:32:38.2004446Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2004497Z             }
2022-11-23T01:32:38.2004563Z             
2022-11-23T01:32:38.2004633Z  - 
2022-11-23T01:32:38.2004811Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2004875Z             {
2022-11-23T01:32:38.2005042Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2005978Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[3], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[4], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[5], 94279403915040)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'],
2022-11-23T01:32:38.2006104Z                 'obj_weakref': None
2022-11-23T01:32:38.2006322Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2006372Z             }
2022-11-23T01:32:38.2006434Z             
2022-11-23T01:32:38.2006502Z  - 
2022-11-23T01:32:38.2006688Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2006750Z             {
2022-11-23T01:32:38.2006893Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2007173Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:32:38.2007280Z                 'obj_weakref': None
2022-11-23T01:32:38.2007499Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2007563Z             }
2022-11-23T01:32:38.2007626Z             
2022-11-23T01:32:38.2007699Z  - 
2022-11-23T01:32:38.2007886Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2007949Z             {
2022-11-23T01:32:38.2008077Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2008356Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 3'],
2022-11-23T01:32:38.2008476Z                 'obj_weakref': None
2022-11-23T01:32:38.2008692Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2008756Z             }
2022-11-23T01:32:38.2008821Z             
2022-11-23T01:32:38.2008889Z  - 
2022-11-23T01:32:38.2009097Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:38.2009162Z             {
2022-11-23T01:32:38.2009304Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2009611Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', 'model.__closure__[0].cell_contents[2] == 4'],
2022-11-23T01:32:38.2009733Z                 'obj_weakref': None
2022-11-23T01:32:38.2009949Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2010012Z             }
2022-11-23T01:32:38.2010076Z             
2022-11-23T01:32:38.2010130Z  - 
2022-11-23T01:32:38.2010314Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:38.2010376Z             {
2022-11-23T01:32:38.2010518Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2010799Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94279403915040)', 'model.__closure__[0].cell_contents[3] == 5'],
2022-11-23T01:32:38.2010920Z                 'obj_weakref': None
2022-11-23T01:32:38.2011134Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2011185Z             }
2022-11-23T01:32:38.2011248Z             
2022-11-23T01:32:38.2011318Z  - 
2022-11-23T01:32:38.2011501Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:32:38.2011563Z             {
2022-11-23T01:32:38.2011701Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2011978Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94279403915040)', 'model.__closure__[0].cell_contents[4] == 6'],
2022-11-23T01:32:38.2012082Z                 'obj_weakref': None
2022-11-23T01:32:38.2012298Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2012361Z             }
2022-11-23T01:32:38.2012426Z             
2022-11-23T01:32:38.2012494Z  - 
2022-11-23T01:32:38.2012677Z             local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH
2022-11-23T01:32:38.2012740Z             {
2022-11-23T01:32:38.2012866Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2013145Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 94279403915040)', 'model.__closure__[0].cell_contents[5] == 7'],
2022-11-23T01:32:38.2013262Z                 'obj_weakref': None
2022-11-23T01:32:38.2013476Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2013541Z             }
2022-11-23T01:32:38.2013603Z             
2022-11-23T01:32:38.2013863Z [2022-11-23 01:29:34,434] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 417
2022-11-23T01:32:38.2014234Z [2022-11-23 01:29:36,988] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mo/cmore3hp2dj6xfcmwvkn5sx5gduorjxnvc73stc76l4ynderzwnx.py
2022-11-23T01:32:38.2014486Z [2022-11-23 01:29:36,988] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 417
2022-11-23T01:32:38.2014720Z [2022-11-23 01:29:37,006] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2014988Z [2022-11-23 01:29:37,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2015208Z [2022-11-23 01:29:37,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2015459Z [2022-11-23 01:29:37,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2015744Z [2022-11-23 01:29:37,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2016068Z [2022-11-23 01:29:37,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2016449Z [2022-11-23 01:29:37,007] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:38.2016542Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2016668Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2016762Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2016848Z               6 CALL_METHOD              1
2022-11-23T01:32:38.2016936Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:38.2017011Z              10 BINARY_ADD
2022-11-23T01:32:38.2017101Z              12 BUILD_TUPLE              1
2022-11-23T01:32:38.2017177Z              14 RETURN_VALUE
2022-11-23T01:32:38.2017226Z  
2022-11-23T01:32:38.2017244Z 
2022-11-23T01:32:38.2017498Z [2022-11-23 01:29:37,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940
2022-11-23T01:32:38.2017710Z [2022-11-23 01:29:37,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2017952Z [2022-11-23 01:29:37,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2018236Z [2022-11-23 01:29:37,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2018539Z [2022-11-23 01:29:37,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2018775Z [2022-11-23 01:29:37,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.2019044Z [2022-11-23 01:29:37,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2019282Z [2022-11-23 01:29:37,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2019526Z [2022-11-23 01:29:37,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2019845Z [2022-11-23 01:29:37,015] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:38.2020089Z [2022-11-23 01:29:37,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2020322Z [2022-11-23 01:29:37,015] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2020574Z [2022-11-23 01:29:37,018] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2020823Z [2022-11-23 01:29:37,025] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2021009Z [2022-11-23 01:29:37,026] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2021143Z  __compiled_fn_426 <eval_with_key>.2635 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2021234Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2021322Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.2021416Z call_method, view, view, (ex_0_, [2, 3, 4, 5, 6, 7]), {}
2022-11-23T01:32:38.2021592Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.2021688Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.2021694Z 
2022-11-23T01:32:38.2021971Z [2022-11-23 01:29:37,027] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2022064Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2022154Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2022247Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2022324Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2022400Z               8 RETURN_VALUE
2022-11-23T01:32:38.2022405Z 
2022-11-23T01:32:38.2022465Z  
2022-11-23T01:32:38.2022780Z [2022-11-23 01:29:37,027] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2022888Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_426)
2022-11-23T01:32:38.2022976Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2023094Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2023172Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2023247Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2023334Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2023409Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.2023496Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.2023600Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2023727Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2023822Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2023899Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.2023994Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2024095Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2024183Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2024260Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.2024347Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.2024521Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2024609Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2024700Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2024775Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.2024877Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2024969Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2025066Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2025154Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2025234Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.2025321Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2025398Z              54 RETURN_VALUE
2022-11-23T01:32:38.2025403Z 
2022-11-23T01:32:38.2025465Z  
2022-11-23T01:32:38.2025657Z [2022-11-23 01:29:37,031] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2025728Z  - 
2022-11-23T01:32:38.2025849Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2025915Z             {
2022-11-23T01:32:38.2026044Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2026231Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.2026354Z                 'obj_weakref': None
2022-11-23T01:32:38.2026577Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2026642Z             }
2022-11-23T01:32:38.2026705Z             
2022-11-23T01:32:38.2026774Z  - 
2022-11-23T01:32:38.2026885Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2026948Z             {
2022-11-23T01:32:38.2027087Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2027194Z                 'code': None,
2022-11-23T01:32:38.2027403Z                 'obj_weakref': <weakref at 0x7f70f2965950; to 'Tensor' at 0x7f7112cd5770>
2022-11-23T01:32:38.2027653Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2027716Z             }
2022-11-23T01:32:38.2027766Z             
2022-11-23T01:32:38.2027834Z  - 
2022-11-23T01:32:38.2027957Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.2028021Z             {
2022-11-23T01:32:38.2028162Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2028268Z                 'code': None,
2022-11-23T01:32:38.2028475Z                 'obj_weakref': <weakref at 0x7f7106703bf0; to 'Tensor' at 0x7f711e634290>
2022-11-23T01:32:38.2028745Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2028808Z             }
2022-11-23T01:32:38.2028870Z             
2022-11-23T01:32:38.2028939Z  - 
2022-11-23T01:32:38.2029067Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2029160Z             {
2022-11-23T01:32:38.2029294Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2029449Z                 'code': ['___check_obj_id(model, 140123394745408)'],
2022-11-23T01:32:38.2029567Z                 'obj_weakref': None
2022-11-23T01:32:38.2029796Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2029861Z             }
2022-11-23T01:32:38.2029923Z             
2022-11-23T01:32:38.2029991Z  - 
2022-11-23T01:32:38.2030111Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2030160Z             {
2022-11-23T01:32:38.2030297Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2030519Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2030638Z                 'obj_weakref': None
2022-11-23T01:32:38.2030857Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2030923Z             }
2022-11-23T01:32:38.2030986Z             
2022-11-23T01:32:38.2031041Z  - 
2022-11-23T01:32:38.2031218Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2031283Z             {
2022-11-23T01:32:38.2031452Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2032386Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[3], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[4], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[5], 94279403915040)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'],
2022-11-23T01:32:38.2032508Z                 'obj_weakref': None
2022-11-23T01:32:38.2032727Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2032790Z             }
2022-11-23T01:32:38.2032852Z             
2022-11-23T01:32:38.2032907Z  - 
2022-11-23T01:32:38.2033090Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2033154Z             {
2022-11-23T01:32:38.2033295Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2033572Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:32:38.2033692Z                 'obj_weakref': None
2022-11-23T01:32:38.2033909Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2033959Z             }
2022-11-23T01:32:38.2034023Z             
2022-11-23T01:32:38.2034092Z  - 
2022-11-23T01:32:38.2034277Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2034340Z             {
2022-11-23T01:32:38.2034480Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2034761Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 3'],
2022-11-23T01:32:38.2034877Z                 'obj_weakref': None
2022-11-23T01:32:38.2035079Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2035143Z             }
2022-11-23T01:32:38.2035205Z             
2022-11-23T01:32:38.2035309Z  - 
2022-11-23T01:32:38.2035491Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:38.2035554Z             {
2022-11-23T01:32:38.2035695Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2035989Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', 'model.__closure__[0].cell_contents[2] == 4'],
2022-11-23T01:32:38.2036108Z                 'obj_weakref': None
2022-11-23T01:32:38.2036325Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2036388Z             }
2022-11-23T01:32:38.2036450Z             
2022-11-23T01:32:38.2036518Z  - 
2022-11-23T01:32:38.2036701Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:38.2036751Z             {
2022-11-23T01:32:38.2036892Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2037297Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94279403915040)', 'model.__closure__[0].cell_contents[3] == 5'],
2022-11-23T01:32:38.2037424Z                 'obj_weakref': None
2022-11-23T01:32:38.2037643Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2037711Z             }
2022-11-23T01:32:38.2037775Z             
2022-11-23T01:32:38.2037831Z  - 
2022-11-23T01:32:38.2038015Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:32:38.2038080Z             {
2022-11-23T01:32:38.2038223Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2038513Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94279403915040)', 'model.__closure__[0].cell_contents[4] == 6'],
2022-11-23T01:32:38.2038632Z                 'obj_weakref': None
2022-11-23T01:32:38.2038850Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2038917Z             }
2022-11-23T01:32:38.2038968Z             
2022-11-23T01:32:38.2039037Z  - 
2022-11-23T01:32:38.2039220Z             local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH
2022-11-23T01:32:38.2039285Z             {
2022-11-23T01:32:38.2039425Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2039707Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 94279403915040)', 'model.__closure__[0].cell_contents[5] == 7'],
2022-11-23T01:32:38.2039824Z                 'obj_weakref': None
2022-11-23T01:32:38.2040025Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2040088Z             }
2022-11-23T01:32:38.2040150Z             
2022-11-23T01:32:38.2040412Z [2022-11-23 01:29:37,044] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 418
2022-11-23T01:32:38.2040418Z 
2022-11-23T01:32:38.2040512Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2040583Z import torch
2022-11-23T01:32:38.2040652Z import random
2022-11-23T01:32:38.2040754Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2040876Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2040881Z 
2022-11-23T01:32:38.2040959Z aten = torch.ops.aten
2022-11-23T01:32:38.2041094Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2041188Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2041194Z 
2022-11-23T01:32:38.2041198Z 
2022-11-23T01:32:38.2041331Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2041536Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2041655Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2041746Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2041845Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2041905Z {
2022-11-23T01:32:38.2042065Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2042128Z     {
2022-11-23T01:32:38.2042206Z         #pragma omp for 
2022-11-23T01:32:38.2042289Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:38.2042339Z         {
2022-11-23T01:32:38.2042523Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2042661Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.2042748Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2042840Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2042905Z         }
2022-11-23T01:32:38.2043001Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2043072Z         for(long i0=32; i0<35; i0+=1)
2022-11-23T01:32:38.2043138Z         {
2022-11-23T01:32:38.2043222Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2043304Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.2043385Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2043467Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.2043528Z         }
2022-11-23T01:32:38.2043577Z     }
2022-11-23T01:32:38.2043637Z }
2022-11-23T01:32:38.2043716Z ''')
2022-11-23T01:32:38.2043721Z 
2022-11-23T01:32:38.2043725Z 
2022-11-23T01:32:38.2043814Z async_compile.wait(globals())
2022-11-23T01:32:38.2043890Z del async_compile
2022-11-23T01:32:38.2043895Z 
2022-11-23T01:32:38.2043966Z def call(args):
2022-11-23T01:32:38.2044043Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2044102Z     args.clear()
2022-11-23T01:32:38.2044298Z     buf0 = empty_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2044462Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2044531Z     del arg0_1
2022-11-23T01:32:38.2044598Z     del arg1_1
2022-11-23T01:32:38.2044671Z     return (buf0, )
2022-11-23T01:32:38.2044676Z 
2022-11-23T01:32:38.2044680Z 
2022-11-23T01:32:38.2044756Z if __name__ == "__main__":
2022-11-23T01:32:38.2044874Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2044983Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2045178Z     arg0_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2045378Z     arg1_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2045491Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2045496Z 
2022-11-23T01:32:38.2045500Z 
2022-11-23T01:32:38.2045593Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2045663Z import torch
2022-11-23T01:32:38.2045733Z import random
2022-11-23T01:32:38.2045848Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2045955Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2045959Z 
2022-11-23T01:32:38.2046037Z aten = torch.ops.aten
2022-11-23T01:32:38.2046170Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2046261Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2046268Z 
2022-11-23T01:32:38.2046272Z 
2022-11-23T01:32:38.2046405Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2046609Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2046729Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2046833Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2046919Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2046979Z {
2022-11-23T01:32:38.2047077Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2047139Z     {
2022-11-23T01:32:38.2047216Z         #pragma omp for 
2022-11-23T01:32:38.2047298Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:38.2047363Z         {
2022-11-23T01:32:38.2047482Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2047616Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.2047781Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:38.2047866Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2047951Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2048043Z             tmp4.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2048133Z         }
2022-11-23T01:32:38.2048214Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2048299Z         for(long i0=32; i0<35; i0+=1)
2022-11-23T01:32:38.2048361Z         {
2022-11-23T01:32:38.2048444Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2048526Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:38.2048625Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:38.2048708Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2048776Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2048855Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:38.2048918Z         }
2022-11-23T01:32:38.2048979Z     }
2022-11-23T01:32:38.2049041Z }
2022-11-23T01:32:38.2049119Z ''')
2022-11-23T01:32:38.2049124Z 
2022-11-23T01:32:38.2049129Z 
2022-11-23T01:32:38.2049218Z async_compile.wait(globals())
2022-11-23T01:32:38.2049277Z del async_compile
2022-11-23T01:32:38.2049295Z 
2022-11-23T01:32:38.2049353Z def call(args):
2022-11-23T01:32:38.2049434Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2049503Z     args.clear()
2022-11-23T01:32:38.2049697Z     buf0 = empty_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2049859Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2049928Z     del arg0_1
2022-11-23T01:32:38.2049993Z     del arg1_1
2022-11-23T01:32:38.2050051Z     return (buf0, )
2022-11-23T01:32:38.2050056Z 
2022-11-23T01:32:38.2050061Z 
2022-11-23T01:32:38.2050136Z if __name__ == "__main__":
2022-11-23T01:32:38.2050249Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2050371Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2050566Z     arg0_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2050758Z     arg1_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2050871Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2050879Z 
2022-11-23T01:32:38.2050883Z 
2022-11-23T01:32:38.2050974Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2051030Z import torch
2022-11-23T01:32:38.2057009Z import random
2022-11-23T01:32:38.2057179Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2057291Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2057297Z 
2022-11-23T01:32:38.2057376Z aten = torch.ops.aten
2022-11-23T01:32:38.2057512Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2057605Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2057610Z 
2022-11-23T01:32:38.2057614Z 
2022-11-23T01:32:38.2057775Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2057988Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2058108Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2058211Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2058302Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2058363Z {
2022-11-23T01:32:38.2058462Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2058523Z     {
2022-11-23T01:32:38.2058601Z         #pragma omp for 
2022-11-23T01:32:38.2058684Z         for(long i0=0; i0<315; i0+=1)
2022-11-23T01:32:38.2058733Z         {
2022-11-23T01:32:38.2058873Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2059004Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.2059090Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2059181Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2059366Z         }
2022-11-23T01:32:38.2059460Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2059546Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T01:32:38.2059596Z         {
2022-11-23T01:32:38.2059680Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2059795Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.2059880Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2059960Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.2060022Z         }
2022-11-23T01:32:38.2060083Z     }
2022-11-23T01:32:38.2060130Z }
2022-11-23T01:32:38.2060211Z ''')
2022-11-23T01:32:38.2060217Z 
2022-11-23T01:32:38.2060221Z 
2022-11-23T01:32:38.2060311Z async_compile.wait(globals())
2022-11-23T01:32:38.2060385Z del async_compile
2022-11-23T01:32:38.2060390Z 
2022-11-23T01:32:38.2060460Z def call(args):
2022-11-23T01:32:38.2060537Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2060607Z     args.clear()
2022-11-23T01:32:38.2060833Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2060999Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2061068Z     del arg0_1
2022-11-23T01:32:38.2061139Z     del arg1_1
2022-11-23T01:32:38.2061216Z     return (buf0, )
2022-11-23T01:32:38.2061221Z 
2022-11-23T01:32:38.2061225Z 
2022-11-23T01:32:38.2061301Z if __name__ == "__main__":
2022-11-23T01:32:38.2061416Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2061539Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2061726Z     arg0_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2061959Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2062072Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2062078Z 
2022-11-23T01:32:38.2062084Z 
2022-11-23T01:32:38.2062179Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2062249Z import torch
2022-11-23T01:32:38.2062320Z import random
2022-11-23T01:32:38.2062434Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2062553Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2062561Z 
2022-11-23T01:32:38.2062626Z aten = torch.ops.aten
2022-11-23T01:32:38.2062757Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2062849Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2062854Z 
2022-11-23T01:32:38.2062859Z 
2022-11-23T01:32:38.2062991Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2063194Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2063313Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2063416Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2063515Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2063565Z {
2022-11-23T01:32:38.2063662Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2063727Z     {
2022-11-23T01:32:38.2063803Z         #pragma omp for 
2022-11-23T01:32:38.2063885Z         for(long i0=0; i0<315; i0+=1)
2022-11-23T01:32:38.2063947Z         {
2022-11-23T01:32:38.2064082Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2064202Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.2064330Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:38.2064418Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2064591Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2064683Z             tmp4.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2064746Z         }
2022-11-23T01:32:38.2064843Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2064916Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T01:32:38.2065017Z         {
2022-11-23T01:32:38.2065099Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2065182Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:38.2065283Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:38.2065364Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2065496Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2065564Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:38.2065627Z         }
2022-11-23T01:32:38.2065688Z     }
2022-11-23T01:32:38.2065747Z }
2022-11-23T01:32:38.2065827Z ''')
2022-11-23T01:32:38.2065833Z 
2022-11-23T01:32:38.2065838Z 
2022-11-23T01:32:38.2065926Z async_compile.wait(globals())
2022-11-23T01:32:38.2065998Z del async_compile
2022-11-23T01:32:38.2066003Z 
2022-11-23T01:32:38.2066060Z def call(args):
2022-11-23T01:32:38.2066133Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2066204Z     args.clear()
2022-11-23T01:32:38.2066439Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2066604Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2066672Z     del arg0_1
2022-11-23T01:32:38.2066738Z     del arg1_1
2022-11-23T01:32:38.2066796Z     return (buf0, )
2022-11-23T01:32:38.2066813Z 
2022-11-23T01:32:38.2066819Z 
2022-11-23T01:32:38.2066883Z if __name__ == "__main__":
2022-11-23T01:32:38.2066996Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2067118Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2067314Z     arg0_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2067548Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2067662Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2067667Z 
2022-11-23T01:32:38.2067671Z 
2022-11-23T01:32:38.2067762Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2067834Z import torch
2022-11-23T01:32:38.2067892Z import random
2022-11-23T01:32:38.2068006Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2068128Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2068133Z 
2022-11-23T01:32:38.2068213Z aten = torch.ops.aten
2022-11-23T01:32:38.2068345Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2068435Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2068440Z 
2022-11-23T01:32:38.2068444Z 
2022-11-23T01:32:38.2068575Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2068777Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2068883Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2068987Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2069086Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2069150Z {
2022-11-23T01:32:38.2069249Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2069310Z     {
2022-11-23T01:32:38.2069386Z         #pragma omp for 
2022-11-23T01:32:38.2069457Z         for(long i0=0; i0<315; i0+=1)
2022-11-23T01:32:38.2069520Z         {
2022-11-23T01:32:38.2069653Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2069782Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.2069866Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2069956Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2070018Z         }
2022-11-23T01:32:38.2070100Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2070185Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T01:32:38.2070246Z         {
2022-11-23T01:32:38.2070330Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2070410Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.2070490Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2070606Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.2070656Z         }
2022-11-23T01:32:38.2070715Z     }
2022-11-23T01:32:38.2070774Z }
2022-11-23T01:32:38.2070853Z ''')
2022-11-23T01:32:38.2070858Z 
2022-11-23T01:32:38.2070862Z 
2022-11-23T01:32:38.2070952Z async_compile.wait(globals())
2022-11-23T01:32:38.2071052Z del async_compile
2022-11-23T01:32:38.2071058Z 
2022-11-23T01:32:38.2071127Z def call(args):
2022-11-23T01:32:38.2071189Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2071261Z     args.clear()
2022-11-23T01:32:38.2071494Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2071654Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2071721Z     del arg0_1
2022-11-23T01:32:38.2071788Z     del arg1_1
2022-11-23T01:32:38.2071858Z     return (buf0, )
2022-11-23T01:32:38.2071864Z 
2022-11-23T01:32:38.2071868Z 
2022-11-23T01:32:38.2071945Z if __name__ == "__main__":
2022-11-23T01:32:38.2072044Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2072165Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2072382Z     arg0_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2072613Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2072727Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2073102Z [2022-11-23 01:29:37,068] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qk/cqkxepmfnrgpw2ftgqpyhgv4qe55ajyn7uxqu7rszm5ol7kjmmr2.py
2022-11-23T01:32:38.2073368Z [2022-11-23 01:29:37,069] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 418
2022-11-23T01:32:38.2073605Z [2022-11-23 01:29:37,081] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2073866Z [2022-11-23 01:29:37,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2074082Z [2022-11-23 01:29:37,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2074336Z [2022-11-23 01:29:37,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2074619Z [2022-11-23 01:29:37,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2074941Z [2022-11-23 01:29:37,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2075272Z [2022-11-23 01:29:37,083] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:38.2075364Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2075460Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:38.2075533Z               4 BINARY_ADD
2022-11-23T01:32:38.2075615Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2075708Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2075797Z              10 CALL_METHOD              1
2022-11-23T01:32:38.2075889Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:38.2075963Z              14 BINARY_ADD
2022-11-23T01:32:38.2076052Z              16 BUILD_TUPLE              1
2022-11-23T01:32:38.2076127Z              18 RETURN_VALUE
2022-11-23T01:32:38.2076176Z  
2022-11-23T01:32:38.2076181Z 
2022-11-23T01:32:38.2076448Z [2022-11-23 01:29:37,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943
2022-11-23T01:32:38.2076658Z [2022-11-23 01:29:37,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2076900Z [2022-11-23 01:29:37,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:38.2077335Z [2022-11-23 01:29:37,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.2077631Z [2022-11-23 01:29:37,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2077913Z [2022-11-23 01:29:37,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2078218Z [2022-11-23 01:29:37,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2078457Z [2022-11-23 01:29:37,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.2078716Z [2022-11-23 01:29:37,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2078958Z [2022-11-23 01:29:37,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2079206Z [2022-11-23 01:29:37,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2079540Z [2022-11-23 01:29:37,092] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:38.2079787Z [2022-11-23 01:29:37,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2080023Z [2022-11-23 01:29:37,092] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2080275Z [2022-11-23 01:29:37,094] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2080524Z [2022-11-23 01:29:37,103] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2080712Z [2022-11-23 01:29:37,103] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2080850Z  __compiled_fn_427 <eval_with_key>.2641 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2080927Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2081012Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.2081188Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:38.2081293Z call_method, view, view, (add, [2, 3, 4, 5, 6, 7]), {}
2022-11-23T01:32:38.2081471Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.2081567Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:38.2081574Z 
2022-11-23T01:32:38.2081853Z [2022-11-23 01:29:37,104] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2081933Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2082023Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2082115Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2082207Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2082284Z               8 RETURN_VALUE
2022-11-23T01:32:38.2082289Z 
2022-11-23T01:32:38.2082350Z  
2022-11-23T01:32:38.2082627Z [2022-11-23 01:29:37,104] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2082735Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_427)
2022-11-23T01:32:38.2082811Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2082901Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2082977Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2083064Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2083151Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2083224Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.2083313Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.2083404Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2083571Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2083667Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2083757Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.2083902Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2084001Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2084090Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2084166Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.2084241Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.2084332Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2084431Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2084519Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2084594Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.2084695Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2084786Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2084870Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2084956Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2085032Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.2085134Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2085209Z              54 RETURN_VALUE
2022-11-23T01:32:38.2085214Z 
2022-11-23T01:32:38.2085273Z  
2022-11-23T01:32:38.2085457Z [2022-11-23 01:29:37,108] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2085516Z  - 
2022-11-23T01:32:38.2085634Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2085698Z             {
2022-11-23T01:32:38.2085841Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2086027Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.2086146Z                 'obj_weakref': None
2022-11-23T01:32:38.2086371Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2086423Z             }
2022-11-23T01:32:38.2086487Z             
2022-11-23T01:32:38.2086556Z  - 
2022-11-23T01:32:38.2086680Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2086746Z             {
2022-11-23T01:32:38.2086886Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2086992Z                 'code': None,
2022-11-23T01:32:38.2087185Z                 'obj_weakref': <weakref at 0x7f71c0e9a0b0; to 'Tensor' at 0x7f7141305650>
2022-11-23T01:32:38.2087433Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2087497Z             }
2022-11-23T01:32:38.2087567Z             
2022-11-23T01:32:38.2087636Z  - 
2022-11-23T01:32:38.2087758Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.2087820Z             {
2022-11-23T01:32:38.2087947Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2088054Z                 'code': None,
2022-11-23T01:32:38.2088262Z                 'obj_weakref': <weakref at 0x7f71c0e9add0; to 'Tensor' at 0x7f7141305770>
2022-11-23T01:32:38.2088512Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2088576Z             }
2022-11-23T01:32:38.2088642Z             
2022-11-23T01:32:38.2088710Z  - 
2022-11-23T01:32:38.2088828Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2088890Z             {
2022-11-23T01:32:38.2089025Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2089194Z                 'code': ['___check_obj_id(model, 140123394746992)'],
2022-11-23T01:32:38.2089312Z                 'obj_weakref': None
2022-11-23T01:32:38.2089538Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2089601Z             }
2022-11-23T01:32:38.2089651Z             
2022-11-23T01:32:38.2089753Z  - 
2022-11-23T01:32:38.2089876Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2089940Z             {
2022-11-23T01:32:38.2090076Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2090319Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2090437Z                 'obj_weakref': None
2022-11-23T01:32:38.2090642Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2090704Z             }
2022-11-23T01:32:38.2090766Z             
2022-11-23T01:32:38.2090833Z  - 
2022-11-23T01:32:38.2091011Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2091073Z             {
2022-11-23T01:32:38.2091241Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2092180Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[3], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[4], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[5], 94279403915040)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'],
2022-11-23T01:32:38.2092303Z                 'obj_weakref': None
2022-11-23T01:32:38.2092507Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2092570Z             }
2022-11-23T01:32:38.2092633Z             
2022-11-23T01:32:38.2092700Z  - 
2022-11-23T01:32:38.2092882Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2092945Z             {
2022-11-23T01:32:38.2093089Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2093355Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:32:38.2093471Z                 'obj_weakref': None
2022-11-23T01:32:38.2093689Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2093754Z             }
2022-11-23T01:32:38.2093818Z             
2022-11-23T01:32:38.2093887Z  - 
2022-11-23T01:32:38.2094073Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2094124Z             {
2022-11-23T01:32:38.2094263Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2094542Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 3'],
2022-11-23T01:32:38.2094658Z                 'obj_weakref': None
2022-11-23T01:32:38.2094880Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2094944Z             }
2022-11-23T01:32:38.2095006Z             
2022-11-23T01:32:38.2095075Z  - 
2022-11-23T01:32:38.2095245Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:38.2095310Z             {
2022-11-23T01:32:38.2095453Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2095731Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', 'model.__closure__[0].cell_contents[2] == 4'],
2022-11-23T01:32:38.2095848Z                 'obj_weakref': None
2022-11-23T01:32:38.2096064Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2096127Z             }
2022-11-23T01:32:38.2096177Z             
2022-11-23T01:32:38.2096245Z  - 
2022-11-23T01:32:38.2096429Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:38.2096526Z             {
2022-11-23T01:32:38.2096667Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2096947Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94279403915040)', 'model.__closure__[0].cell_contents[3] == 5'],
2022-11-23T01:32:38.2097093Z                 'obj_weakref': None
2022-11-23T01:32:38.2097298Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2097360Z             }
2022-11-23T01:32:38.2097423Z             
2022-11-23T01:32:38.2097492Z  - 
2022-11-23T01:32:38.2097673Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:32:38.2097736Z             {
2022-11-23T01:32:38.2097877Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2098143Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94279403915040)', 'model.__closure__[0].cell_contents[4] == 6'],
2022-11-23T01:32:38.2098264Z                 'obj_weakref': None
2022-11-23T01:32:38.2098478Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2098541Z             }
2022-11-23T01:32:38.2098604Z             
2022-11-23T01:32:38.2098671Z  - 
2022-11-23T01:32:38.2098857Z             local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH
2022-11-23T01:32:38.2098920Z             {
2022-11-23T01:32:38.2099050Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2099327Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 94279403915040)', 'model.__closure__[0].cell_contents[5] == 7'],
2022-11-23T01:32:38.2099445Z                 'obj_weakref': None
2022-11-23T01:32:38.2099662Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2099724Z             }
2022-11-23T01:32:38.2099786Z             
2022-11-23T01:32:38.2100048Z [2022-11-23 01:29:37,123] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 419
2022-11-23T01:32:38.2100403Z [2022-11-23 01:29:37,149] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oh/cohdb7wh4oh2zjdgna5x2pao53d3zp5hvvvhkg4dtz2l4mjpjy5s.py
2022-11-23T01:32:38.2100667Z [2022-11-23 01:29:37,149] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 419
2022-11-23T01:32:38.2100903Z [2022-11-23 01:29:37,161] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2101168Z [2022-11-23 01:29:37,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2101388Z [2022-11-23 01:29:37,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2101639Z [2022-11-23 01:29:37,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2101923Z [2022-11-23 01:29:37,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2102246Z [2022-11-23 01:29:37,162] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2102574Z [2022-11-23 01:29:37,163] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:38.2102668Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2102751Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2102844Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2102930Z               6 CALL_METHOD              1
2022-11-23T01:32:38.2103020Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:38.2103138Z              10 BINARY_ADD
2022-11-23T01:32:38.2103226Z              12 BUILD_TUPLE              1
2022-11-23T01:32:38.2103302Z              14 RETURN_VALUE
2022-11-23T01:32:38.2103383Z  
2022-11-23T01:32:38.2103388Z 
2022-11-23T01:32:38.2103656Z [2022-11-23 01:29:37,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940
2022-11-23T01:32:38.2103896Z [2022-11-23 01:29:37,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2104140Z [2022-11-23 01:29:37,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2104420Z [2022-11-23 01:29:37,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2104814Z [2022-11-23 01:29:37,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2105048Z [2022-11-23 01:29:37,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.2105319Z [2022-11-23 01:29:37,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2105560Z [2022-11-23 01:29:37,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2105793Z [2022-11-23 01:29:37,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2106127Z [2022-11-23 01:29:37,169] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:38.2106371Z [2022-11-23 01:29:37,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2106603Z [2022-11-23 01:29:37,169] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2106857Z [2022-11-23 01:29:37,171] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2107104Z [2022-11-23 01:29:37,178] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2107296Z [2022-11-23 01:29:37,178] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2107430Z  __compiled_fn_428 <eval_with_key>.2647 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2107525Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2107598Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.2107698Z call_method, view, view, (ex_0_, [10, 5, 20]), {}
2022-11-23T01:32:38.2107874Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.2107968Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.2107973Z 
2022-11-23T01:32:38.2108247Z [2022-11-23 01:29:37,179] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2108339Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2108431Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2108523Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2108604Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2108679Z               8 RETURN_VALUE
2022-11-23T01:32:38.2108684Z 
2022-11-23T01:32:38.2108743Z  
2022-11-23T01:32:38.2109017Z [2022-11-23 01:29:37,179] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2109125Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_428)
2022-11-23T01:32:38.2109213Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2109302Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2109366Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2109454Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2109541Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2109615Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.2109703Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.2109806Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2109975Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2110070Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2110146Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.2110281Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2110383Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2110477Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2110552Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.2110638Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.2110728Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2110814Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2110901Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2110977Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.2111077Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2111170Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2111265Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2111351Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2111416Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.2111515Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2111588Z              54 RETURN_VALUE
2022-11-23T01:32:38.2111593Z 
2022-11-23T01:32:38.2111653Z  
2022-11-23T01:32:38.2111836Z [2022-11-23 01:29:37,182] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2111905Z  - 
2022-11-23T01:32:38.2112022Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2112072Z             {
2022-11-23T01:32:38.2112214Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2112404Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.2112522Z                 'obj_weakref': None
2022-11-23T01:32:38.2112749Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2112813Z             }
2022-11-23T01:32:38.2112875Z             
2022-11-23T01:32:38.2112930Z  - 
2022-11-23T01:32:38.2113056Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2113121Z             {
2022-11-23T01:32:38.2113265Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2113370Z                 'code': None,
2022-11-23T01:32:38.2113576Z                 'obj_weakref': <weakref at 0x7f70f2797170; to 'Tensor' at 0x7f710637e3b0>
2022-11-23T01:32:38.2113822Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2113872Z             }
2022-11-23T01:32:38.2113934Z             
2022-11-23T01:32:38.2114003Z  - 
2022-11-23T01:32:38.2114128Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.2114190Z             {
2022-11-23T01:32:38.2114333Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2114439Z                 'code': None,
2022-11-23T01:32:38.2114629Z                 'obj_weakref': <weakref at 0x7f71067a4770; to 'Tensor' at 0x7f7106d36230>
2022-11-23T01:32:38.2114876Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2114939Z             }
2022-11-23T01:32:38.2115004Z             
2022-11-23T01:32:38.2115071Z  - 
2022-11-23T01:32:38.2115200Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2115263Z             {
2022-11-23T01:32:38.2115384Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2115552Z                 'code': ['___check_obj_id(model, 140123394745408)'],
2022-11-23T01:32:38.2115670Z                 'obj_weakref': None
2022-11-23T01:32:38.2115896Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2115958Z             }
2022-11-23T01:32:38.2116055Z             
2022-11-23T01:32:38.2116123Z  - 
2022-11-23T01:32:38.2116232Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2116296Z             {
2022-11-23T01:32:38.2116432Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2116677Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2116797Z                 'obj_weakref': None
2022-11-23T01:32:38.2117015Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2117078Z             }
2022-11-23T01:32:38.2117235Z             
2022-11-23T01:32:38.2117305Z  - 
2022-11-23T01:32:38.2117482Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2117549Z             {
2022-11-23T01:32:38.2117715Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2118359Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', 'model.__closure__[0].cell_contents == [10, 5, 20]'],
2022-11-23T01:32:38.2118482Z                 'obj_weakref': None
2022-11-23T01:32:38.2118701Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2118765Z             }
2022-11-23T01:32:38.2118816Z             
2022-11-23T01:32:38.2118883Z  - 
2022-11-23T01:32:38.2119070Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2119134Z             {
2022-11-23T01:32:38.2119276Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2119563Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:38.2119684Z                 'obj_weakref': None
2022-11-23T01:32:38.2119888Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2119955Z             }
2022-11-23T01:32:38.2120018Z             
2022-11-23T01:32:38.2120088Z  - 
2022-11-23T01:32:38.2120273Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2120336Z             {
2022-11-23T01:32:38.2120476Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2120743Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 5'],
2022-11-23T01:32:38.2120863Z                 'obj_weakref': None
2022-11-23T01:32:38.2121082Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2121148Z             }
2022-11-23T01:32:38.2121212Z             
2022-11-23T01:32:38.2121281Z  - 
2022-11-23T01:32:38.2121465Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:38.2121515Z             {
2022-11-23T01:32:38.2121662Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2121949Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', 'model.__closure__[0].cell_contents[2] == 20'],
2022-11-23T01:32:38.2122072Z                 'obj_weakref': None
2022-11-23T01:32:38.2122289Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2122352Z             }
2022-11-23T01:32:38.2122414Z             
2022-11-23T01:32:38.2122670Z [2022-11-23 01:29:37,194] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 420
2022-11-23T01:32:38.2123032Z [2022-11-23 01:29:39,773] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ls/clsdjazvib2ujbfmv2toqbolcxqgmnl3gwtfazkkb4xslkdbkeih.py
2022-11-23T01:32:38.2123355Z [2022-11-23 01:29:39,774] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 420
2022-11-23T01:32:38.2123591Z [2022-11-23 01:29:39,788] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2123899Z [2022-11-23 01:29:39,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2124119Z [2022-11-23 01:29:39,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2124371Z [2022-11-23 01:29:39,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2124657Z [2022-11-23 01:29:39,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2124980Z [2022-11-23 01:29:39,788] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2125308Z [2022-11-23 01:29:39,789] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:38.2125388Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2125482Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:38.2125557Z               4 BINARY_ADD
2022-11-23T01:32:38.2125651Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2125744Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2125830Z              10 CALL_METHOD              1
2022-11-23T01:32:38.2125920Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:38.2125994Z              14 BINARY_ADD
2022-11-23T01:32:38.2126070Z              16 BUILD_TUPLE              1
2022-11-23T01:32:38.2126148Z              18 RETURN_VALUE
2022-11-23T01:32:38.2126208Z  
2022-11-23T01:32:38.2126213Z 
2022-11-23T01:32:38.2126480Z [2022-11-23 01:29:39,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943
2022-11-23T01:32:38.2126691Z [2022-11-23 01:29:39,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2126933Z [2022-11-23 01:29:39,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:38.2127212Z [2022-11-23 01:29:39,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.2127452Z [2022-11-23 01:29:39,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2127718Z [2022-11-23 01:29:39,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2128019Z [2022-11-23 01:29:39,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2128253Z [2022-11-23 01:29:39,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.2128527Z [2022-11-23 01:29:39,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2128769Z [2022-11-23 01:29:39,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2129011Z [2022-11-23 01:29:39,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2129339Z [2022-11-23 01:29:39,801] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:38.2129581Z [2022-11-23 01:29:39,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2129812Z [2022-11-23 01:29:39,801] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2130048Z [2022-11-23 01:29:39,805] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2130330Z [2022-11-23 01:29:39,814] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2130515Z [2022-11-23 01:29:39,814] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2130677Z  __compiled_fn_429 <eval_with_key>.2653 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2130768Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2130853Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.2131025Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:38.2131125Z call_method, view, view, (add, [10, 5, 20]), {}
2022-11-23T01:32:38.2131289Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.2131384Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:38.2131389Z 
2022-11-23T01:32:38.2131663Z [2022-11-23 01:29:39,815] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2131760Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2131851Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2131941Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2132035Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2132112Z               8 RETURN_VALUE
2022-11-23T01:32:38.2132118Z 
2022-11-23T01:32:38.2132166Z  
2022-11-23T01:32:38.2132436Z [2022-11-23 01:29:39,816] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2132542Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_429)
2022-11-23T01:32:38.2132634Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2132723Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2132799Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2132886Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2132975Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2133037Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.2133125Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.2133228Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2133357Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2133452Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2133540Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.2133632Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2133719Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2133808Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2133885Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.2133974Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.2134070Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2134169Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2134258Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2134321Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.2134421Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2134517Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2134614Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2134701Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2134777Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.2134876Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2134937Z              54 RETURN_VALUE
2022-11-23T01:32:38.2134953Z 
2022-11-23T01:32:38.2135000Z  
2022-11-23T01:32:38.2135182Z [2022-11-23 01:29:39,820] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2135252Z  - 
2022-11-23T01:32:38.2135371Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2135464Z             {
2022-11-23T01:32:38.2135606Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2135778Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.2135897Z                 'obj_weakref': None
2022-11-23T01:32:38.2136146Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2136215Z             }
2022-11-23T01:32:38.2136280Z             
2022-11-23T01:32:38.2136348Z  - 
2022-11-23T01:32:38.2136470Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2136521Z             {
2022-11-23T01:32:38.2136662Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2136768Z                 'code': None,
2022-11-23T01:32:38.2136976Z                 'obj_weakref': <weakref at 0x7f70f2797350; to 'Tensor' at 0x7f710637e3b0>
2022-11-23T01:32:38.2137223Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2137288Z             }
2022-11-23T01:32:38.2137349Z             
2022-11-23T01:32:38.2137405Z  - 
2022-11-23T01:32:38.2137526Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.2137588Z             {
2022-11-23T01:32:38.2137731Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2137839Z                 'code': None,
2022-11-23T01:32:38.2138044Z                 'obj_weakref': <weakref at 0x7f70f29602f0; to 'Tensor' at 0x7f70f2797e30>
2022-11-23T01:32:38.2138289Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2138352Z             }
2022-11-23T01:32:38.2138402Z             
2022-11-23T01:32:38.2138471Z  - 
2022-11-23T01:32:38.2138602Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2138664Z             {
2022-11-23T01:32:38.2138797Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2138964Z                 'code': ['___check_obj_id(model, 140123394746992)'],
2022-11-23T01:32:38.2139071Z                 'obj_weakref': None
2022-11-23T01:32:38.2139298Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2139360Z             }
2022-11-23T01:32:38.2139424Z             
2022-11-23T01:32:38.2139493Z  - 
2022-11-23T01:32:38.2139618Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2139680Z             {
2022-11-23T01:32:38.2139803Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2140018Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2140136Z                 'obj_weakref': None
2022-11-23T01:32:38.2140354Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2140417Z             }
2022-11-23T01:32:38.2140482Z             
2022-11-23T01:32:38.2140550Z  - 
2022-11-23T01:32:38.2140713Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2140778Z             {
2022-11-23T01:32:38.2140944Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2141586Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', 'model.__closure__[0].cell_contents == [10, 5, 20]'],
2022-11-23T01:32:38.2141707Z                 'obj_weakref': None
2022-11-23T01:32:38.2141923Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2141986Z             }
2022-11-23T01:32:38.2142047Z             
2022-11-23T01:32:38.2142116Z  - 
2022-11-23T01:32:38.2142286Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2142383Z             {
2022-11-23T01:32:38.2142526Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2142811Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:38.2142963Z                 'obj_weakref': None
2022-11-23T01:32:38.2143178Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2143245Z             }
2022-11-23T01:32:38.2143295Z             
2022-11-23T01:32:38.2143363Z  - 
2022-11-23T01:32:38.2143548Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2143612Z             {
2022-11-23T01:32:38.2143752Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2144031Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 5'],
2022-11-23T01:32:38.2144152Z                 'obj_weakref': None
2022-11-23T01:32:38.2144353Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2144417Z             }
2022-11-23T01:32:38.2144554Z             
2022-11-23T01:32:38.2144629Z  - 
2022-11-23T01:32:38.2144816Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:38.2144880Z             {
2022-11-23T01:32:38.2145021Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2145290Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', 'model.__closure__[0].cell_contents[2] == 20'],
2022-11-23T01:32:38.2145408Z                 'obj_weakref': None
2022-11-23T01:32:38.2145624Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2145688Z             }
2022-11-23T01:32:38.2145750Z             
2022-11-23T01:32:38.2146011Z [2022-11-23 01:29:39,837] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 421
2022-11-23T01:32:38.2146385Z [2022-11-23 01:29:42,404] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bd/cbdehag26dqxiilljdsgbjvs7rioudqnklfnfxm2w7fc27f7vdfw.py
2022-11-23T01:32:38.2146650Z [2022-11-23 01:29:42,405] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 421
2022-11-23T01:32:38.2146885Z [2022-11-23 01:29:42,415] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2147138Z [2022-11-23 01:29:42,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2147355Z [2022-11-23 01:29:42,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2147607Z [2022-11-23 01:29:42,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2147893Z [2022-11-23 01:29:42,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2148219Z [2022-11-23 01:29:42,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2148546Z [2022-11-23 01:29:42,416] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:38.2148641Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2148736Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2148829Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2148904Z               6 CALL_METHOD              1
2022-11-23T01:32:38.2148993Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:38.2149065Z              10 BINARY_ADD
2022-11-23T01:32:38.2149155Z              12 BUILD_TUPLE              1
2022-11-23T01:32:38.2149233Z              14 RETURN_VALUE
2022-11-23T01:32:38.2149329Z  
2022-11-23T01:32:38.2149338Z 
2022-11-23T01:32:38.2149605Z [2022-11-23 01:29:42,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940
2022-11-23T01:32:38.2149799Z [2022-11-23 01:29:42,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2150068Z [2022-11-23 01:29:42,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2150350Z [2022-11-23 01:29:42,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2150652Z [2022-11-23 01:29:42,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2150887Z [2022-11-23 01:29:42,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.2151155Z [2022-11-23 01:29:42,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2151396Z [2022-11-23 01:29:42,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2151639Z [2022-11-23 01:29:42,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2151969Z [2022-11-23 01:29:42,421] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:38.2152215Z [2022-11-23 01:29:42,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2152436Z [2022-11-23 01:29:42,422] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2152689Z [2022-11-23 01:29:42,424] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2152938Z [2022-11-23 01:29:42,429] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2153129Z [2022-11-23 01:29:42,429] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2153262Z  __compiled_fn_430 <eval_with_key>.2659 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2153351Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2153438Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.2153533Z call_method, view, view, (ex_0_, [10]), {}
2022-11-23T01:32:38.2153698Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.2153792Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.2153797Z 
2022-11-23T01:32:38.2154072Z [2022-11-23 01:29:42,430] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2154165Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2154256Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2154347Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2154438Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2154502Z               8 RETURN_VALUE
2022-11-23T01:32:38.2154519Z 
2022-11-23T01:32:38.2154567Z  
2022-11-23T01:32:38.2154839Z [2022-11-23 01:29:42,430] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2154947Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_430)
2022-11-23T01:32:38.2155036Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2155124Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2155200Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2155289Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2155363Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2155438Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.2155527Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.2155631Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2155788Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2155884Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2155971Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.2156123Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2156225Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2156313Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2156391Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.2156479Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.2156571Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2156669Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2156757Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2156819Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.2156920Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2157012Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2157228Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2157315Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2157390Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.2157492Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2157554Z              54 RETURN_VALUE
2022-11-23T01:32:38.2157560Z 
2022-11-23T01:32:38.2157620Z  
2022-11-23T01:32:38.2157810Z [2022-11-23 01:29:42,432] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2157879Z  - 
2022-11-23T01:32:38.2157999Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2158063Z             {
2022-11-23T01:32:38.2158204Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2158377Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.2158496Z                 'obj_weakref': None
2022-11-23T01:32:38.2158720Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2158788Z             }
2022-11-23T01:32:38.2158852Z             
2022-11-23T01:32:38.2158920Z  - 
2022-11-23T01:32:38.2159044Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2159096Z             {
2022-11-23T01:32:38.2159238Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2159345Z                 'code': None,
2022-11-23T01:32:38.2159552Z                 'obj_weakref': <weakref at 0x7f70f16385f0; to 'Tensor' at 0x7f710637e3b0>
2022-11-23T01:32:38.2159805Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2159868Z             }
2022-11-23T01:32:38.2159953Z             
2022-11-23T01:32:38.2160008Z  - 
2022-11-23T01:32:38.2160130Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.2160193Z             {
2022-11-23T01:32:38.2160336Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2160444Z                 'code': None,
2022-11-23T01:32:38.2160652Z                 'obj_weakref': <weakref at 0x7f7106cfc590; to 'Tensor' at 0x7f7106d36230>
2022-11-23T01:32:38.2160902Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2160953Z             }
2022-11-23T01:32:38.2161017Z             
2022-11-23T01:32:38.2161086Z  - 
2022-11-23T01:32:38.2161218Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2161281Z             {
2022-11-23T01:32:38.2161414Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2161582Z                 'code': ['___check_obj_id(model, 140123394745408)'],
2022-11-23T01:32:38.2161688Z                 'obj_weakref': None
2022-11-23T01:32:38.2161914Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2161980Z             }
2022-11-23T01:32:38.2162105Z             
2022-11-23T01:32:38.2162175Z  - 
2022-11-23T01:32:38.2162296Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2162359Z             {
2022-11-23T01:32:38.2162480Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2162733Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2162854Z                 'obj_weakref': None
2022-11-23T01:32:38.2163071Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2163134Z             }
2022-11-23T01:32:38.2163196Z             
2022-11-23T01:32:38.2163264Z  - 
2022-11-23T01:32:38.2163429Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2163492Z             {
2022-11-23T01:32:38.2163659Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2164102Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents == [10]'],
2022-11-23T01:32:38.2164223Z                 'obj_weakref': None
2022-11-23T01:32:38.2164441Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2164504Z             }
2022-11-23T01:32:38.2164566Z             
2022-11-23T01:32:38.2164621Z  - 
2022-11-23T01:32:38.2164804Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2164868Z             {
2022-11-23T01:32:38.2165009Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2165295Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:38.2165412Z                 'obj_weakref': None
2022-11-23T01:32:38.2165628Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2165680Z             }
2022-11-23T01:32:38.2165744Z             
2022-11-23T01:32:38.2166005Z [2022-11-23 01:29:42,441] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 422
2022-11-23T01:32:38.2166373Z [2022-11-23 01:29:45,047] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/s7/cs7dzaanv25tpcdfggeyym5qy6ynggxn266iaugmz2ezihzxeulq.py
2022-11-23T01:32:38.2166637Z [2022-11-23 01:29:45,048] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 422
2022-11-23T01:32:38.2166872Z [2022-11-23 01:29:45,059] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2167139Z [2022-11-23 01:29:45,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2167353Z [2022-11-23 01:29:45,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2167604Z [2022-11-23 01:29:45,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2167876Z [2022-11-23 01:29:45,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2168198Z [2022-11-23 01:29:45,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2168522Z [2022-11-23 01:29:45,060] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:38.2168618Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2168709Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:38.2168783Z               4 BINARY_ADD
2022-11-23T01:32:38.2168877Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2168970Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2169077Z              10 CALL_METHOD              1
2022-11-23T01:32:38.2169165Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:38.2169238Z              14 BINARY_ADD
2022-11-23T01:32:38.2169327Z              16 BUILD_TUPLE              1
2022-11-23T01:32:38.2169433Z              18 RETURN_VALUE
2022-11-23T01:32:38.2169495Z  
2022-11-23T01:32:38.2169501Z 
2022-11-23T01:32:38.2169765Z [2022-11-23 01:29:45,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943
2022-11-23T01:32:38.2169973Z [2022-11-23 01:29:45,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2170200Z [2022-11-23 01:29:45,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:38.2170482Z [2022-11-23 01:29:45,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.2170721Z [2022-11-23 01:29:45,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2171005Z [2022-11-23 01:29:45,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2171307Z [2022-11-23 01:29:45,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2171540Z [2022-11-23 01:29:45,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.2171811Z [2022-11-23 01:29:45,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2172051Z [2022-11-23 01:29:45,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2172294Z [2022-11-23 01:29:45,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2172609Z [2022-11-23 01:29:45,071] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:38.2172854Z [2022-11-23 01:29:45,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2173090Z [2022-11-23 01:29:45,072] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2173342Z [2022-11-23 01:29:45,074] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2173588Z [2022-11-23 01:29:45,083] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2173774Z [2022-11-23 01:29:45,083] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2173908Z  __compiled_fn_431 <eval_with_key>.2665 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2173998Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2174084Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.2174246Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:38.2174341Z call_method, view, view, (add, [10]), {}
2022-11-23T01:32:38.2174522Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.2174617Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:38.2174625Z 
2022-11-23T01:32:38.2174902Z [2022-11-23 01:29:45,084] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2174995Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2175086Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2175166Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2175255Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2175331Z               8 RETURN_VALUE
2022-11-23T01:32:38.2175336Z 
2022-11-23T01:32:38.2175399Z  
2022-11-23T01:32:38.2175672Z [2022-11-23 01:29:45,084] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2175808Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_431)
2022-11-23T01:32:38.2175898Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2175986Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2176075Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2176163Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2176251Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2176328Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.2176418Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.2176521Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2176648Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2176731Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2176818Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.2176915Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2177019Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2177108Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2177183Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.2177272Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.2177351Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2177448Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2177535Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2177611Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.2177712Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2177801Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2177896Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2177983Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2178045Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.2178147Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2178224Z              54 RETURN_VALUE
2022-11-23T01:32:38.2178230Z 
2022-11-23T01:32:38.2178292Z  
2022-11-23T01:32:38.2178475Z [2022-11-23 01:29:45,093] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2178544Z  - 
2022-11-23T01:32:38.2178661Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2178713Z             {
2022-11-23T01:32:38.2178855Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2179040Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.2179158Z                 'obj_weakref': None
2022-11-23T01:32:38.2179379Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2179443Z             }
2022-11-23T01:32:38.2179506Z             
2022-11-23T01:32:38.2179562Z  - 
2022-11-23T01:32:38.2179685Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2179752Z             {
2022-11-23T01:32:38.2179895Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2180001Z                 'code': None,
2022-11-23T01:32:38.2180206Z                 'obj_weakref': <weakref at 0x7f7106cfc230; to 'Tensor' at 0x7f710637e3b0>
2022-11-23T01:32:38.2180455Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2180507Z             }
2022-11-23T01:32:38.2180571Z             
2022-11-23T01:32:38.2180640Z  - 
2022-11-23T01:32:38.2180765Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.2180827Z             {
2022-11-23T01:32:38.2180970Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2181076Z                 'code': None,
2022-11-23T01:32:38.2181270Z                 'obj_weakref': <weakref at 0x7f70f1638830; to 'Tensor' at 0x7f70f2797cb0>
2022-11-23T01:32:38.2181515Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2181611Z             }
2022-11-23T01:32:38.2181675Z             
2022-11-23T01:32:38.2181744Z  - 
2022-11-23T01:32:38.2181872Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2181935Z             {
2022-11-23T01:32:38.2182083Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2182252Z                 'code': ['___check_obj_id(model, 140123394746992)'],
2022-11-23T01:32:38.2182371Z                 'obj_weakref': None
2022-11-23T01:32:38.2182599Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2182663Z             }
2022-11-23T01:32:38.2182724Z             
2022-11-23T01:32:38.2182792Z  - 
2022-11-23T01:32:38.2182899Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2182961Z             {
2022-11-23T01:32:38.2183097Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2183311Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2183431Z                 'obj_weakref': None
2022-11-23T01:32:38.2183649Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2183712Z             }
2022-11-23T01:32:38.2183764Z             
2022-11-23T01:32:38.2183833Z  - 
2022-11-23T01:32:38.2184011Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2184073Z             {
2022-11-23T01:32:38.2184240Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2184765Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents == [10]'],
2022-11-23T01:32:38.2184886Z                 'obj_weakref': None
2022-11-23T01:32:38.2185104Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2185158Z             }
2022-11-23T01:32:38.2185219Z             
2022-11-23T01:32:38.2185289Z  - 
2022-11-23T01:32:38.2185471Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2185533Z             {
2022-11-23T01:32:38.2185676Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2185960Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:38.2186065Z                 'obj_weakref': None
2022-11-23T01:32:38.2186281Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2186344Z             }
2022-11-23T01:32:38.2186406Z             
2022-11-23T01:32:38.2186666Z [2022-11-23 01:29:45,112] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 423
2022-11-23T01:32:38.2186674Z 
2022-11-23T01:32:38.2186679Z 
2022-11-23T01:32:38.2186771Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2186840Z import torch
2022-11-23T01:32:38.2186908Z import random
2022-11-23T01:32:38.2187010Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2187133Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2187138Z 
2022-11-23T01:32:38.2187219Z aten = torch.ops.aten
2022-11-23T01:32:38.2187352Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2187443Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2187448Z 
2022-11-23T01:32:38.2187453Z 
2022-11-23T01:32:38.2187638Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2187841Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2187961Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2188051Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2188187Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2188248Z {
2022-11-23T01:32:38.2188346Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2188407Z     {
2022-11-23T01:32:38.2188483Z         #pragma omp for 
2022-11-23T01:32:38.2188565Z         for(long i0=0; i0<315; i0+=1)
2022-11-23T01:32:38.2188663Z         {
2022-11-23T01:32:38.2188809Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2188942Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.2189073Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:38.2189159Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2189241Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2189340Z             tmp4.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2189391Z         }
2022-11-23T01:32:38.2189486Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2189571Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T01:32:38.2189637Z         {
2022-11-23T01:32:38.2189719Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2189800Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:38.2189899Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:38.2189971Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2190051Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2190130Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:38.2190192Z         }
2022-11-23T01:32:38.2190252Z     }
2022-11-23T01:32:38.2190310Z }
2022-11-23T01:32:38.2190388Z ''')
2022-11-23T01:32:38.2190393Z 
2022-11-23T01:32:38.2190397Z 
2022-11-23T01:32:38.2190474Z async_compile.wait(globals())
2022-11-23T01:32:38.2190546Z del async_compile
2022-11-23T01:32:38.2190551Z 
2022-11-23T01:32:38.2190623Z def call(args):
2022-11-23T01:32:38.2190698Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2190768Z     args.clear()
2022-11-23T01:32:38.2191001Z     buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2191164Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2191232Z     del arg0_1
2022-11-23T01:32:38.2191284Z     del arg1_1
2022-11-23T01:32:38.2191355Z     return (buf0, )
2022-11-23T01:32:38.2191362Z 
2022-11-23T01:32:38.2191366Z 
2022-11-23T01:32:38.2191443Z if __name__ == "__main__":
2022-11-23T01:32:38.2191557Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2191679Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2191895Z     arg0_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2192125Z     arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2192238Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2192244Z 
2022-11-23T01:32:38.2192248Z 
2022-11-23T01:32:38.2192330Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2192399Z import torch
2022-11-23T01:32:38.2192470Z import random
2022-11-23T01:32:38.2192585Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2192704Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2192711Z 
2022-11-23T01:32:38.2192789Z aten = torch.ops.aten
2022-11-23T01:32:38.2192920Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2192999Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2193016Z 
2022-11-23T01:32:38.2193020Z 
2022-11-23T01:32:38.2193137Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2193342Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2193462Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2193568Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2193667Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2193757Z {
2022-11-23T01:32:38.2193853Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2193902Z     {
2022-11-23T01:32:38.2193978Z         #pragma omp for 
2022-11-23T01:32:38.2194059Z         for(long i0=0; i0<62; i0+=1)
2022-11-23T01:32:38.2194121Z         {
2022-11-23T01:32:38.2194281Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2194413Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.2194497Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2194576Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2194639Z         }
2022-11-23T01:32:38.2194734Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2194817Z         for(long i0=992; i0<1000; i0+=1)
2022-11-23T01:32:38.2194879Z         {
2022-11-23T01:32:38.2194961Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2195044Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.2195115Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2195194Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.2195256Z         }
2022-11-23T01:32:38.2195319Z     }
2022-11-23T01:32:38.2195378Z }
2022-11-23T01:32:38.2195455Z ''')
2022-11-23T01:32:38.2195461Z 
2022-11-23T01:32:38.2195466Z 
2022-11-23T01:32:38.2195556Z async_compile.wait(globals())
2022-11-23T01:32:38.2195616Z del async_compile
2022-11-23T01:32:38.2195621Z 
2022-11-23T01:32:38.2195691Z def call(args):
2022-11-23T01:32:38.2195767Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2195841Z     args.clear()
2022-11-23T01:32:38.2196050Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2196211Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2196279Z     del arg0_1
2022-11-23T01:32:38.2196334Z     del arg1_1
2022-11-23T01:32:38.2196404Z     return (buf0, )
2022-11-23T01:32:38.2196409Z 
2022-11-23T01:32:38.2196416Z 
2022-11-23T01:32:38.2196545Z if __name__ == "__main__":
2022-11-23T01:32:38.2196660Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2196782Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2196983Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2197322Z     arg1_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2197438Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2197442Z 
2022-11-23T01:32:38.2197446Z 
2022-11-23T01:32:38.2197540Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2197597Z import torch
2022-11-23T01:32:38.2197669Z import random
2022-11-23T01:32:38.2197782Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2197902Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2197907Z 
2022-11-23T01:32:38.2197985Z aten = torch.ops.aten
2022-11-23T01:32:38.2198120Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2198212Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2198217Z 
2022-11-23T01:32:38.2198221Z 
2022-11-23T01:32:38.2198353Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2198547Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2198666Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2198770Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2198869Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2198931Z {
2022-11-23T01:32:38.2199029Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2199091Z     {
2022-11-23T01:32:38.2199154Z         #pragma omp for 
2022-11-23T01:32:38.2199237Z         for(long i0=0; i0<62; i0+=1)
2022-11-23T01:32:38.2199300Z         {
2022-11-23T01:32:38.2199433Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2199617Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.2199749Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:38.2199833Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2199961Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2200055Z             tmp4.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2200118Z         }
2022-11-23T01:32:38.2200213Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2200297Z         for(long i0=992; i0<1000; i0+=1)
2022-11-23T01:32:38.2200363Z         {
2022-11-23T01:32:38.2200446Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2200515Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:38.2200614Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:38.2200698Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2200781Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2200861Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:38.2200925Z         }
2022-11-23T01:32:38.2200986Z     }
2022-11-23T01:32:38.2201032Z }
2022-11-23T01:32:38.2201112Z ''')
2022-11-23T01:32:38.2201117Z 
2022-11-23T01:32:38.2201121Z 
2022-11-23T01:32:38.2201209Z async_compile.wait(globals())
2022-11-23T01:32:38.2201283Z del async_compile
2022-11-23T01:32:38.2201290Z 
2022-11-23T01:32:38.2201360Z def call(args):
2022-11-23T01:32:38.2201435Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2201505Z     args.clear()
2022-11-23T01:32:38.2201700Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2201861Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2201929Z     del arg0_1
2022-11-23T01:32:38.2202000Z     del arg1_1
2022-11-23T01:32:38.2202070Z     return (buf0, )
2022-11-23T01:32:38.2202075Z 
2022-11-23T01:32:38.2202079Z 
2022-11-23T01:32:38.2202154Z if __name__ == "__main__":
2022-11-23T01:32:38.2202269Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2202390Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2202576Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2202785Z     arg1_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2202902Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2202907Z 
2022-11-23T01:32:38.2202911Z 
2022-11-23T01:32:38.2203012Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2203083Z import torch
2022-11-23T01:32:38.2203153Z import random
2022-11-23T01:32:38.2203265Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2203384Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2203389Z 
2022-11-23T01:32:38.2203453Z aten = torch.ops.aten
2022-11-23T01:32:38.2203586Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2203681Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2203686Z 
2022-11-23T01:32:38.2203690Z 
2022-11-23T01:32:38.2203824Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2204027Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2204146Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2204250Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2204349Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2204398Z {
2022-11-23T01:32:38.2204493Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2204554Z     {
2022-11-23T01:32:38.2204631Z         #pragma omp for 
2022-11-23T01:32:38.2204713Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.2204775Z         {
2022-11-23T01:32:38.2204839Z             {
2022-11-23T01:32:38.2204891Z                 {
2022-11-23T01:32:38.2204983Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2205108Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.2205199Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2205283Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.2205347Z                 }
2022-11-23T01:32:38.2205398Z             }
2022-11-23T01:32:38.2205461Z         }
2022-11-23T01:32:38.2205552Z     }
2022-11-23T01:32:38.2205613Z }
2022-11-23T01:32:38.2205691Z ''')
2022-11-23T01:32:38.2205696Z 
2022-11-23T01:32:38.2205700Z 
2022-11-23T01:32:38.2205789Z async_compile.wait(globals())
2022-11-23T01:32:38.2205861Z del async_compile
2022-11-23T01:32:38.2205865Z 
2022-11-23T01:32:38.2205935Z def call(args):
2022-11-23T01:32:38.2205998Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2206068Z     args.clear()
2022-11-23T01:32:38.2206261Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2206426Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2206497Z     del arg0_1
2022-11-23T01:32:38.2206563Z     del arg1_1
2022-11-23T01:32:38.2206634Z     return (buf0, )
2022-11-23T01:32:38.2206638Z 
2022-11-23T01:32:38.2206643Z 
2022-11-23T01:32:38.2206705Z if __name__ == "__main__":
2022-11-23T01:32:38.2206818Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2206943Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2207152Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2207343Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2207455Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2207460Z 
2022-11-23T01:32:38.2207465Z 
2022-11-23T01:32:38.2207557Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2207625Z import torch
2022-11-23T01:32:38.2207683Z import random
2022-11-23T01:32:38.2207796Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2207917Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2207924Z 
2022-11-23T01:32:38.2208002Z aten = torch.ops.aten
2022-11-23T01:32:38.2208135Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2208224Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2208229Z 
2022-11-23T01:32:38.2208236Z 
2022-11-23T01:32:38.2208366Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2208566Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2208671Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2208771Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2208872Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2208932Z {
2022-11-23T01:32:38.2209028Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2209088Z     {
2022-11-23T01:32:38.2209165Z         #pragma omp for 
2022-11-23T01:32:38.2209235Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.2209300Z         {
2022-11-23T01:32:38.2209365Z             {
2022-11-23T01:32:38.2209434Z                 {
2022-11-23T01:32:38.2209525Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2209615Z                     auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:38.2209720Z                     auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:38.2209797Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2209885Z                     auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2209974Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:32:38.2210040Z                 }
2022-11-23T01:32:38.2210104Z             }
2022-11-23T01:32:38.2210166Z         }
2022-11-23T01:32:38.2210227Z     }
2022-11-23T01:32:38.2210274Z }
2022-11-23T01:32:38.2210351Z ''')
2022-11-23T01:32:38.2210356Z 
2022-11-23T01:32:38.2210360Z 
2022-11-23T01:32:38.2210448Z async_compile.wait(globals())
2022-11-23T01:32:38.2210519Z del async_compile
2022-11-23T01:32:38.2210524Z 
2022-11-23T01:32:38.2210628Z def call(args):
2022-11-23T01:32:38.2210704Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2210775Z     args.clear()
2022-11-23T01:32:38.2210955Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2211145Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2211217Z     del arg0_1
2022-11-23T01:32:38.2211289Z     del arg1_1
2022-11-23T01:32:38.2211360Z     return (buf0, )
2022-11-23T01:32:38.2211365Z 
2022-11-23T01:32:38.2211369Z 
2022-11-23T01:32:38.2211446Z if __name__ == "__main__":
2022-11-23T01:32:38.2211559Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2211679Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2211872Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2212062Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2212179Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2212550Z [2022-11-23 01:29:47,671] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sn/csnsctpv4g3bbej4gbugik5q6hi6qhclx64vkf5p3fbsacyay2f6.py
2022-11-23T01:32:38.2212818Z [2022-11-23 01:29:47,672] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 423
2022-11-23T01:32:38.2213054Z [2022-11-23 01:29:47,682] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2213321Z [2022-11-23 01:29:47,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2213537Z [2022-11-23 01:29:47,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2213774Z [2022-11-23 01:29:47,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2214056Z [2022-11-23 01:29:47,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2214380Z [2022-11-23 01:29:47,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2214712Z [2022-11-23 01:29:47,684] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:38.2214806Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2214899Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2214995Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2215082Z               6 CALL_METHOD              1
2022-11-23T01:32:38.2215169Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:38.2215230Z              10 BINARY_ADD
2022-11-23T01:32:38.2215318Z              12 BUILD_TUPLE              1
2022-11-23T01:32:38.2215395Z              14 RETURN_VALUE
2022-11-23T01:32:38.2215459Z  
2022-11-23T01:32:38.2215465Z 
2022-11-23T01:32:38.2215729Z [2022-11-23 01:29:47,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940
2022-11-23T01:32:38.2215937Z [2022-11-23 01:29:47,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2216180Z [2022-11-23 01:29:47,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2216460Z [2022-11-23 01:29:47,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2216750Z [2022-11-23 01:29:47,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2216985Z [2022-11-23 01:29:47,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.2217256Z [2022-11-23 01:29:47,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2217532Z [2022-11-23 01:29:47,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2217776Z [2022-11-23 01:29:47,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2218131Z [2022-11-23 01:29:47,693] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:38.2218376Z [2022-11-23 01:29:47,693] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2218607Z [2022-11-23 01:29:47,693] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2218858Z [2022-11-23 01:29:47,696] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2219091Z [2022-11-23 01:29:47,705] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2219280Z [2022-11-23 01:29:47,706] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2219413Z  __compiled_fn_432 <eval_with_key>.2671 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2219505Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2219595Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.2219694Z call_method, view, view, (ex_0_, [10, 100]), {}
2022-11-23T01:32:38.2219870Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.2219965Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.2219970Z 
2022-11-23T01:32:38.2220232Z [2022-11-23 01:29:47,707] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2220325Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2220414Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2220506Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2220598Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2220676Z               8 RETURN_VALUE
2022-11-23T01:32:38.2220682Z 
2022-11-23T01:32:38.2220743Z  
2022-11-23T01:32:38.2221015Z [2022-11-23 01:29:47,707] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2221111Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_432)
2022-11-23T01:32:38.2221199Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2221287Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2221362Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2221452Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2221537Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2221612Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.2221686Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.2221790Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2221924Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2222022Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2222115Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.2222214Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2222313Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2222399Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2222463Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.2222550Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.2222645Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2222743Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2222829Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2222904Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.2223005Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2223113Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2223209Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2223295Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2223370Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.2223500Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2223575Z              54 RETURN_VALUE
2022-11-23T01:32:38.2223581Z 
2022-11-23T01:32:38.2223639Z  
2022-11-23T01:32:38.2223811Z [2022-11-23 01:29:47,711] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2223878Z  - 
2022-11-23T01:32:38.2223996Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2224060Z             {
2022-11-23T01:32:38.2224198Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2224384Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.2224590Z                 'obj_weakref': None
2022-11-23T01:32:38.2224811Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2224878Z             }
2022-11-23T01:32:38.2224940Z             
2022-11-23T01:32:38.2225009Z  - 
2022-11-23T01:32:38.2225131Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2225195Z             {
2022-11-23T01:32:38.2225335Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2225428Z                 'code': None,
2022-11-23T01:32:38.2225636Z                 'obj_weakref': <weakref at 0x7f70f272a470; to 'Tensor' at 0x7f710637e3b0>
2022-11-23T01:32:38.2225886Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2225949Z             }
2022-11-23T01:32:38.2226013Z             
2022-11-23T01:32:38.2226080Z  - 
2022-11-23T01:32:38.2226201Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.2226251Z             {
2022-11-23T01:32:38.2226393Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2226502Z                 'code': None,
2022-11-23T01:32:38.2226707Z                 'obj_weakref': <weakref at 0x7f70f272ad10; to 'Tensor' at 0x7f70f28f05f0>
2022-11-23T01:32:38.2226958Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2227021Z             }
2022-11-23T01:32:38.2227083Z             
2022-11-23T01:32:38.2227138Z  - 
2022-11-23T01:32:38.2227267Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2227330Z             {
2022-11-23T01:32:38.2227462Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2227631Z                 'code': ['___check_obj_id(model, 140123394745408)'],
2022-11-23T01:32:38.2227747Z                 'obj_weakref': None
2022-11-23T01:32:38.2227976Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2228026Z             }
2022-11-23T01:32:38.2228093Z             
2022-11-23T01:32:38.2228160Z  - 
2022-11-23T01:32:38.2228282Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2228345Z             {
2022-11-23T01:32:38.2228478Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2228696Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2228800Z                 'obj_weakref': None
2022-11-23T01:32:38.2229015Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2229081Z             }
2022-11-23T01:32:38.2229147Z             
2022-11-23T01:32:38.2229218Z  - 
2022-11-23T01:32:38.2229396Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2229459Z             {
2022-11-23T01:32:38.2229612Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2230154Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents == [10, 100]'],
2022-11-23T01:32:38.2230315Z                 'obj_weakref': None
2022-11-23T01:32:38.2230564Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2230627Z             }
2022-11-23T01:32:38.2230691Z             
2022-11-23T01:32:38.2230758Z  - 
2022-11-23T01:32:38.2230942Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2230992Z             {
2022-11-23T01:32:38.2231134Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2231421Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:38.2231538Z                 'obj_weakref': None
2022-11-23T01:32:38.2231758Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2231822Z             }
2022-11-23T01:32:38.2231884Z             
2022-11-23T01:32:38.2231940Z  - 
2022-11-23T01:32:38.2232125Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2232188Z             {
2022-11-23T01:32:38.2232331Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2232613Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 100'],
2022-11-23T01:32:38.2232730Z                 'obj_weakref': None
2022-11-23T01:32:38.2232946Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2233009Z             }
2022-11-23T01:32:38.2233059Z             
2022-11-23T01:32:38.2233319Z [2022-11-23 01:29:47,726] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 424
2022-11-23T01:32:38.2233699Z [2022-11-23 01:29:47,748] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/iu/ciuppd4ozaohrkfvpfbunvydqj3wmdwkuo5exzvbiksvebe2czs2.py
2022-11-23T01:32:38.2233964Z [2022-11-23 01:29:47,748] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 424
2022-11-23T01:32:38.2234200Z [2022-11-23 01:29:47,758] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2234466Z [2022-11-23 01:29:47,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2234683Z [2022-11-23 01:29:47,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2234933Z [2022-11-23 01:29:47,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2235218Z [2022-11-23 01:29:47,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2235528Z [2022-11-23 01:29:47,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2235860Z [2022-11-23 01:29:47,760] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:38.2235952Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2236045Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:38.2236122Z               4 BINARY_ADD
2022-11-23T01:32:38.2236216Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2236312Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2236399Z              10 CALL_METHOD              1
2022-11-23T01:32:38.2236476Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:38.2236549Z              14 BINARY_ADD
2022-11-23T01:32:38.2236675Z              16 BUILD_TUPLE              1
2022-11-23T01:32:38.2236754Z              18 RETURN_VALUE
2022-11-23T01:32:38.2236816Z  
2022-11-23T01:32:38.2236821Z 
2022-11-23T01:32:38.2237087Z [2022-11-23 01:29:47,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943
2022-11-23T01:32:38.2237457Z [2022-11-23 01:29:47,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2237686Z [2022-11-23 01:29:47,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:38.2237968Z [2022-11-23 01:29:47,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.2238207Z [2022-11-23 01:29:47,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2238489Z [2022-11-23 01:29:47,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2238793Z [2022-11-23 01:29:47,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2239029Z [2022-11-23 01:29:47,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.2239302Z [2022-11-23 01:29:47,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2239542Z [2022-11-23 01:29:47,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2239785Z [2022-11-23 01:29:47,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2240115Z [2022-11-23 01:29:47,770] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:38.2240346Z [2022-11-23 01:29:47,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2240583Z [2022-11-23 01:29:47,770] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2240836Z [2022-11-23 01:29:47,773] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2241088Z [2022-11-23 01:29:47,783] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2241277Z [2022-11-23 01:29:47,783] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2241410Z  __compiled_fn_433 <eval_with_key>.2677 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2241499Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2241586Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.2241745Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:38.2241844Z call_method, view, view, (add, [10, 100]), {}
2022-11-23T01:32:38.2242023Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.2242120Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:38.2242126Z 
2022-11-23T01:32:38.2242403Z [2022-11-23 01:29:47,784] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2242498Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2242588Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2242680Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2242757Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2242834Z               8 RETURN_VALUE
2022-11-23T01:32:38.2242840Z 
2022-11-23T01:32:38.2242901Z  
2022-11-23T01:32:38.2243172Z [2022-11-23 01:29:47,784] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2243279Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_433)
2022-11-23T01:32:38.2243369Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2243497Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2243572Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2243648Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2243734Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2243850Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.2243942Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.2244046Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2244172Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2244268Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2244345Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.2244439Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2244539Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2244630Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2244708Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.2244795Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.2244887Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2244973Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2245063Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2245140Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.2245244Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2245335Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2245433Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2245520Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2245582Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.2245681Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2245755Z              54 RETURN_VALUE
2022-11-23T01:32:38.2245760Z 
2022-11-23T01:32:38.2245820Z  
2022-11-23T01:32:38.2246008Z [2022-11-23 01:29:47,787] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2246077Z  - 
2022-11-23T01:32:38.2246195Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2246259Z             {
2022-11-23T01:32:38.2246388Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2246575Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.2246694Z                 'obj_weakref': None
2022-11-23T01:32:38.2246917Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2246982Z             }
2022-11-23T01:32:38.2247045Z             
2022-11-23T01:32:38.2247113Z  - 
2022-11-23T01:32:38.2247223Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2247286Z             {
2022-11-23T01:32:38.2247426Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2247533Z                 'code': None,
2022-11-23T01:32:38.2247740Z                 'obj_weakref': <weakref at 0x7f71c0e9b050; to 'Tensor' at 0x7f710637e3b0>
2022-11-23T01:32:38.2247992Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2248055Z             }
2022-11-23T01:32:38.2248105Z             
2022-11-23T01:32:38.2248174Z  - 
2022-11-23T01:32:38.2248300Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.2248363Z             {
2022-11-23T01:32:38.2248505Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2248611Z                 'code': None,
2022-11-23T01:32:38.2248819Z                 'obj_weakref': <weakref at 0x7f70f28f05f0; to 'Tensor' at 0x7f711e634830>
2022-11-23T01:32:38.2249052Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2249116Z             }
2022-11-23T01:32:38.2249181Z             
2022-11-23T01:32:38.2249249Z  - 
2022-11-23T01:32:38.2249378Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2249471Z             {
2022-11-23T01:32:38.2249603Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2249760Z                 'code': ['___check_obj_id(model, 140123394746992)'],
2022-11-23T01:32:38.2249878Z                 'obj_weakref': None
2022-11-23T01:32:38.2250132Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2250197Z             }
2022-11-23T01:32:38.2250259Z             
2022-11-23T01:32:38.2250327Z  - 
2022-11-23T01:32:38.2250448Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2250498Z             {
2022-11-23T01:32:38.2250633Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2250848Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2250964Z                 'obj_weakref': None
2022-11-23T01:32:38.2251181Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2251248Z             }
2022-11-23T01:32:38.2251314Z             
2022-11-23T01:32:38.2251370Z  - 
2022-11-23T01:32:38.2251547Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2251610Z             {
2022-11-23T01:32:38.2251777Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2252322Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents == [10, 100]'],
2022-11-23T01:32:38.2252440Z                 'obj_weakref': None
2022-11-23T01:32:38.2252659Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2252723Z             }
2022-11-23T01:32:38.2252772Z             
2022-11-23T01:32:38.2252842Z  - 
2022-11-23T01:32:38.2253026Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2253090Z             {
2022-11-23T01:32:38.2253232Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2253516Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:38.2253633Z                 'obj_weakref': None
2022-11-23T01:32:38.2253837Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2253901Z             }
2022-11-23T01:32:38.2253968Z             
2022-11-23T01:32:38.2254038Z  - 
2022-11-23T01:32:38.2254222Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2254284Z             {
2022-11-23T01:32:38.2254424Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2254695Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 100'],
2022-11-23T01:32:38.2254814Z                 'obj_weakref': None
2022-11-23T01:32:38.2255032Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2255100Z             }
2022-11-23T01:32:38.2255164Z             
2022-11-23T01:32:38.2255425Z [2022-11-23 01:29:47,804] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 425
2022-11-23T01:32:38.2255798Z [2022-11-23 01:29:47,858] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ta/cta67irnkuf7garfonsajuigcdzvhjcgzxntgknhbjvli2wdwcnu.py
2022-11-23T01:32:38.2256061Z [2022-11-23 01:29:47,859] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 425
2022-11-23T01:32:38.2256284Z [2022-11-23 01:29:47,869] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2256619Z [2022-11-23 01:29:47,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2256836Z [2022-11-23 01:29:47,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2257116Z [2022-11-23 01:29:47,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2257401Z [2022-11-23 01:29:47,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2257721Z [2022-11-23 01:29:47,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2258046Z [2022-11-23 01:29:47,870] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:38.2258142Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2258238Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2258321Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2258408Z               6 CALL_METHOD              1
2022-11-23T01:32:38.2258497Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:38.2258569Z              10 BINARY_ADD
2022-11-23T01:32:38.2258660Z              12 BUILD_TUPLE              1
2022-11-23T01:32:38.2258736Z              14 RETURN_VALUE
2022-11-23T01:32:38.2258797Z  
2022-11-23T01:32:38.2258802Z 
2022-11-23T01:32:38.2259068Z [2022-11-23 01:29:47,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940
2022-11-23T01:32:38.2259264Z [2022-11-23 01:29:47,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2259506Z [2022-11-23 01:29:47,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2259786Z [2022-11-23 01:29:47,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2260091Z [2022-11-23 01:29:47,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2260327Z [2022-11-23 01:29:47,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.2260600Z [2022-11-23 01:29:47,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2260839Z [2022-11-23 01:29:47,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2261084Z [2022-11-23 01:29:47,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2261415Z [2022-11-23 01:29:47,878] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:38.2261645Z [2022-11-23 01:29:47,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2261882Z [2022-11-23 01:29:47,878] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2262136Z [2022-11-23 01:29:47,881] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2262382Z [2022-11-23 01:29:47,889] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2262570Z [2022-11-23 01:29:47,889] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2262703Z  __compiled_fn_434 <eval_with_key>.2683 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2262791Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2262876Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.2262961Z call_method, view, view, (ex_0_, [4, 4]), {}
2022-11-23T01:32:38.2263139Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.2263263Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.2263268Z 
2022-11-23T01:32:38.2263546Z [2022-11-23 01:29:47,890] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2263639Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2263764Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2263858Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2263948Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2264012Z               8 RETURN_VALUE
2022-11-23T01:32:38.2264017Z 
2022-11-23T01:32:38.2264078Z  
2022-11-23T01:32:38.2264353Z [2022-11-23 01:29:47,891] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2264533Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_434)
2022-11-23T01:32:38.2264628Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2264718Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2264798Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2264887Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2264963Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2265037Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.2265126Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.2265230Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2265359Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2265454Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2265543Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.2265626Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2265726Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2265813Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2265891Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.2265980Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.2266071Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2266168Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2266244Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2266321Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.2266422Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2266516Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2266612Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2266697Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2266772Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.2266860Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2266936Z              54 RETURN_VALUE
2022-11-23T01:32:38.2266941Z 
2022-11-23T01:32:38.2267003Z  
2022-11-23T01:32:38.2267189Z [2022-11-23 01:29:47,894] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2267259Z  - 
2022-11-23T01:32:38.2267375Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2267439Z             {
2022-11-23T01:32:38.2267568Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2267754Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.2267873Z                 'obj_weakref': None
2022-11-23T01:32:38.2268097Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2268162Z             }
2022-11-23T01:32:38.2268225Z             
2022-11-23T01:32:38.2268292Z  - 
2022-11-23T01:32:38.2268414Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2268465Z             {
2022-11-23T01:32:38.2268605Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2268714Z                 'code': None,
2022-11-23T01:32:38.2268921Z                 'obj_weakref': <weakref at 0x7f7106d096b0; to 'Tensor' at 0x7f710637e3b0>
2022-11-23T01:32:38.2269205Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2269270Z             }
2022-11-23T01:32:38.2269332Z             
2022-11-23T01:32:38.2269387Z  - 
2022-11-23T01:32:38.2269535Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.2269598Z             {
2022-11-23T01:32:38.2269740Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2269845Z                 'code': None,
2022-11-23T01:32:38.2270053Z                 'obj_weakref': <weakref at 0x7f710725b350; to 'Tensor' at 0x7f711e6349b0>
2022-11-23T01:32:38.2270300Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2270351Z             }
2022-11-23T01:32:38.2270413Z             
2022-11-23T01:32:38.2270482Z  - 
2022-11-23T01:32:38.2270611Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2270676Z             {
2022-11-23T01:32:38.2270810Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2270977Z                 'code': ['___check_obj_id(model, 140123394745408)'],
2022-11-23T01:32:38.2271083Z                 'obj_weakref': None
2022-11-23T01:32:38.2271310Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2271376Z             }
2022-11-23T01:32:38.2271440Z             
2022-11-23T01:32:38.2271508Z  - 
2022-11-23T01:32:38.2271629Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2271679Z             {
2022-11-23T01:32:38.2271812Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2272027Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2272146Z                 'obj_weakref': None
2022-11-23T01:32:38.2272363Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2272428Z             }
2022-11-23T01:32:38.2272490Z             
2022-11-23T01:32:38.2272558Z  - 
2022-11-23T01:32:38.2272722Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2272784Z             {
2022-11-23T01:32:38.2272953Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2273492Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents == [4, 4]'],
2022-11-23T01:32:38.2273611Z                 'obj_weakref': None
2022-11-23T01:32:38.2273829Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2273893Z             }
2022-11-23T01:32:38.2273956Z             
2022-11-23T01:32:38.2274011Z  - 
2022-11-23T01:32:38.2274197Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2274260Z             {
2022-11-23T01:32:38.2274402Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2274687Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 4'],
2022-11-23T01:32:38.2274807Z                 'obj_weakref': None
2022-11-23T01:32:38.2275023Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2275073Z             }
2022-11-23T01:32:38.2275135Z             
2022-11-23T01:32:38.2275206Z  - 
2022-11-23T01:32:38.2275392Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2275455Z             {
2022-11-23T01:32:38.2275595Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2275879Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 4'],
2022-11-23T01:32:38.2276017Z                 'obj_weakref': None
2022-11-23T01:32:38.2276232Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2276295Z             }
2022-11-23T01:32:38.2276392Z             
2022-11-23T01:32:38.2276652Z [2022-11-23 01:29:47,908] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 426
2022-11-23T01:32:38.2277028Z [2022-11-23 01:29:50,494] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ry/crydaqeicp5cwju3fgwcnw7xvdfnaixkdykkoesdpkyltqtj6rgo.py
2022-11-23T01:32:38.2277397Z [2022-11-23 01:29:50,494] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 426
2022-11-23T01:32:38.2277633Z [2022-11-23 01:29:50,507] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2277887Z [2022-11-23 01:29:50,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2278106Z [2022-11-23 01:29:50,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2278358Z [2022-11-23 01:29:50,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2278645Z [2022-11-23 01:29:50,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2278968Z [2022-11-23 01:29:50,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2279298Z [2022-11-23 01:29:50,509] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:38.2279393Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2279483Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:38.2279560Z               4 BINARY_ADD
2022-11-23T01:32:38.2279642Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2279735Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2279821Z              10 CALL_METHOD              1
2022-11-23T01:32:38.2279916Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:38.2279989Z              14 BINARY_ADD
2022-11-23T01:32:38.2280077Z              16 BUILD_TUPLE              1
2022-11-23T01:32:38.2280152Z              18 RETURN_VALUE
2022-11-23T01:32:38.2280200Z  
2022-11-23T01:32:38.2280206Z 
2022-11-23T01:32:38.2280471Z [2022-11-23 01:29:50,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943
2022-11-23T01:32:38.2280679Z [2022-11-23 01:29:50,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2280920Z [2022-11-23 01:29:50,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:38.2281206Z [2022-11-23 01:29:50,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.2281445Z [2022-11-23 01:29:50,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2281726Z [2022-11-23 01:29:50,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2282026Z [2022-11-23 01:29:50,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2282260Z [2022-11-23 01:29:50,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.2282529Z [2022-11-23 01:29:50,518] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2282756Z [2022-11-23 01:29:50,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2283055Z [2022-11-23 01:29:50,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2283418Z [2022-11-23 01:29:50,521] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:38.2283664Z [2022-11-23 01:29:50,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2283896Z [2022-11-23 01:29:50,521] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2284147Z [2022-11-23 01:29:50,525] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2284395Z [2022-11-23 01:29:50,535] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2284581Z [2022-11-23 01:29:50,535] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2284720Z  __compiled_fn_435 <eval_with_key>.2689 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2284797Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2284883Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.2285056Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:38.2285156Z call_method, view, view, (add, [4, 4]), {}
2022-11-23T01:32:38.2285336Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.2285431Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:38.2285436Z 
2022-11-23T01:32:38.2285713Z [2022-11-23 01:29:50,536] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2285806Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2285884Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2285976Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2286068Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2286146Z               8 RETURN_VALUE
2022-11-23T01:32:38.2286152Z 
2022-11-23T01:32:38.2286213Z  
2022-11-23T01:32:38.2286485Z [2022-11-23 01:29:50,537] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2286593Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_435)
2022-11-23T01:32:38.2286671Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2286761Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2286837Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2286928Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2287016Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2287089Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.2287176Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.2287267Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2287392Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2287490Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2287580Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.2287676Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2287777Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2287866Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2287941Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.2288015Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.2288107Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2288207Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2288296Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2288372Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.2288473Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2288563Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2288678Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2288766Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2288843Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.2288943Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2289060Z              54 RETURN_VALUE
2022-11-23T01:32:38.2289066Z 
2022-11-23T01:32:38.2289127Z  
2022-11-23T01:32:38.2289314Z [2022-11-23 01:29:50,540] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2289370Z  - 
2022-11-23T01:32:38.2289488Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2289555Z             {
2022-11-23T01:32:38.2289698Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2289883Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.2290000Z                 'obj_weakref': None
2022-11-23T01:32:38.2290223Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2290278Z             }
2022-11-23T01:32:38.2290340Z             
2022-11-23T01:32:38.2290408Z  - 
2022-11-23T01:32:38.2290533Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2290595Z             {
2022-11-23T01:32:38.2290739Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2290846Z                 'code': None,
2022-11-23T01:32:38.2291043Z                 'obj_weakref': <weakref at 0x7f70f272aef0; to 'Tensor' at 0x7f710637e3b0>
2022-11-23T01:32:38.2291291Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2291354Z             }
2022-11-23T01:32:38.2291416Z             
2022-11-23T01:32:38.2291483Z  - 
2022-11-23T01:32:38.2291604Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.2291666Z             {
2022-11-23T01:32:38.2291795Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2291900Z                 'code': None,
2022-11-23T01:32:38.2292105Z                 'obj_weakref': <weakref at 0x7f7106d13290; to 'Tensor' at 0x7f7106d09c50>
2022-11-23T01:32:38.2292353Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2292416Z             }
2022-11-23T01:32:38.2292481Z             
2022-11-23T01:32:38.2292548Z  - 
2022-11-23T01:32:38.2292664Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2292727Z             {
2022-11-23T01:32:38.2292858Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2293026Z                 'code': ['___check_obj_id(model, 140123394746992)'],
2022-11-23T01:32:38.2293143Z                 'obj_weakref': None
2022-11-23T01:32:38.2293368Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2293432Z             }
2022-11-23T01:32:38.2293482Z             
2022-11-23T01:32:38.2293549Z  - 
2022-11-23T01:32:38.2293672Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2293740Z             {
2022-11-23T01:32:38.2293873Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2294086Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2294205Z                 'obj_weakref': None
2022-11-23T01:32:38.2294408Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2294472Z             }
2022-11-23T01:32:38.2294535Z             
2022-11-23T01:32:38.2294603Z  - 
2022-11-23T01:32:38.2294782Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2294844Z             {
2022-11-23T01:32:38.2295012Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2295553Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents == [4, 4]'],
2022-11-23T01:32:38.2295699Z                 'obj_weakref': None
2022-11-23T01:32:38.2295944Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2296009Z             }
2022-11-23T01:32:38.2296076Z             
2022-11-23T01:32:38.2296145Z  - 
2022-11-23T01:32:38.2296330Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2296392Z             {
2022-11-23T01:32:38.2296519Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2296799Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 4'],
2022-11-23T01:32:38.2296917Z                 'obj_weakref': None
2022-11-23T01:32:38.2297136Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2297201Z             }
2022-11-23T01:32:38.2297264Z             
2022-11-23T01:32:38.2297332Z  - 
2022-11-23T01:32:38.2297502Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2297565Z             {
2022-11-23T01:32:38.2297707Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2297988Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 4'],
2022-11-23T01:32:38.2298105Z                 'obj_weakref': None
2022-11-23T01:32:38.2298321Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2298384Z             }
2022-11-23T01:32:38.2298446Z             
2022-11-23T01:32:38.2298692Z [2022-11-23 01:29:50,562] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 427
2022-11-23T01:32:38.2299067Z [2022-11-23 01:29:53,197] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a4/ca4msi2h5d5ziadrwhakhknno7g6j5geix7fmpxu2dxvqyuxy7yl.py
2022-11-23T01:32:38.2299333Z [2022-11-23 01:29:53,197] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 427
2022-11-23T01:32:38.2299570Z [2022-11-23 01:29:53,210] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2299836Z [2022-11-23 01:29:53,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2300055Z [2022-11-23 01:29:53,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2300308Z [2022-11-23 01:29:53,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2300591Z [2022-11-23 01:29:53,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2300914Z [2022-11-23 01:29:53,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2301240Z [2022-11-23 01:29:53,212] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:38.2301321Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2301415Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2301511Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2301599Z               6 CALL_METHOD              1
2022-11-23T01:32:38.2301689Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:38.2301762Z              10 BINARY_ADD
2022-11-23T01:32:38.2301850Z              12 BUILD_TUPLE              1
2022-11-23T01:32:38.2301912Z              14 RETURN_VALUE
2022-11-23T01:32:38.2301973Z  
2022-11-23T01:32:38.2301978Z 
2022-11-23T01:32:38.2302245Z [2022-11-23 01:29:53,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940
2022-11-23T01:32:38.2302483Z [2022-11-23 01:29:53,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2302756Z [2022-11-23 01:29:53,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2303040Z [2022-11-23 01:29:53,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2303342Z [2022-11-23 01:29:53,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2303576Z [2022-11-23 01:29:53,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.2303846Z [2022-11-23 01:29:53,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2304071Z [2022-11-23 01:29:53,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2304318Z [2022-11-23 01:29:53,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2304727Z [2022-11-23 01:29:53,221] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:38.2304977Z [2022-11-23 01:29:53,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2305211Z [2022-11-23 01:29:53,221] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2305464Z [2022-11-23 01:29:53,224] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2305713Z [2022-11-23 01:29:53,232] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2305902Z [2022-11-23 01:29:53,233] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2306037Z  __compiled_fn_436 <eval_with_key>.2695 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2306114Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2306199Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.2306296Z call_method, view, view, (ex_0_, [35]), {}
2022-11-23T01:32:38.2306474Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.2306569Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.2306575Z 
2022-11-23T01:32:38.2306851Z [2022-11-23 01:29:53,233] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2306945Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2307035Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2307114Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2307204Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2307281Z               8 RETURN_VALUE
2022-11-23T01:32:38.2307288Z 
2022-11-23T01:32:38.2307350Z  
2022-11-23T01:32:38.2307621Z [2022-11-23 01:29:53,234] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2307730Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_436)
2022-11-23T01:32:38.2307821Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2307897Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2307973Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2308062Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2308151Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2308225Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.2308312Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.2308416Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2308529Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2308661Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2308749Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.2308844Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2308944Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2309065Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2309145Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.2309232Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.2309311Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2309408Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2309495Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2309572Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.2309673Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2309764Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2309861Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2309934Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2310009Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.2310109Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2310186Z              54 RETURN_VALUE
2022-11-23T01:32:38.2310191Z 
2022-11-23T01:32:38.2310252Z  
2022-11-23T01:32:38.2310435Z [2022-11-23 01:29:53,237] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2310503Z  - 
2022-11-23T01:32:38.2310613Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2310678Z             {
2022-11-23T01:32:38.2310819Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2311005Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.2311123Z                 'obj_weakref': None
2022-11-23T01:32:38.2311345Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2311412Z             }
2022-11-23T01:32:38.2311464Z             
2022-11-23T01:32:38.2311531Z  - 
2022-11-23T01:32:38.2311655Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2311718Z             {
2022-11-23T01:32:38.2311858Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2311968Z                 'code': None,
2022-11-23T01:32:38.2312175Z                 'obj_weakref': <weakref at 0x7f71c0f8b2f0; to 'Tensor' at 0x7f710637e3b0>
2022-11-23T01:32:38.2312407Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2312470Z             }
2022-11-23T01:32:38.2312532Z             
2022-11-23T01:32:38.2312601Z  - 
2022-11-23T01:32:38.2312722Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.2312784Z             {
2022-11-23T01:32:38.2312925Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2313017Z                 'code': None,
2022-11-23T01:32:38.2313226Z                 'obj_weakref': <weakref at 0x7f71c0f8b0b0; to 'Tensor' at 0x7f70f28bf830>
2022-11-23T01:32:38.2313474Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2313536Z             }
2022-11-23T01:32:38.2313599Z             
2022-11-23T01:32:38.2313668Z  - 
2022-11-23T01:32:38.2313798Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2313848Z             {
2022-11-23T01:32:38.2313982Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2314151Z                 'code': ['___check_obj_id(model, 140123394745408)'],
2022-11-23T01:32:38.2314269Z                 'obj_weakref': None
2022-11-23T01:32:38.2314496Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2314559Z             }
2022-11-23T01:32:38.2314622Z             
2022-11-23T01:32:38.2314677Z  - 
2022-11-23T01:32:38.2314797Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2314893Z             {
2022-11-23T01:32:38.2315031Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2315247Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2315363Z                 'obj_weakref': None
2022-11-23T01:32:38.2315608Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2315659Z             }
2022-11-23T01:32:38.2315720Z             
2022-11-23T01:32:38.2315788Z  - 
2022-11-23T01:32:38.2315969Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2316031Z             {
2022-11-23T01:32:38.2316198Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2316641Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents == [35]'],
2022-11-23T01:32:38.2316762Z                 'obj_weakref': None
2022-11-23T01:32:38.2316965Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2317030Z             }
2022-11-23T01:32:38.2317096Z             
2022-11-23T01:32:38.2317272Z  - 
2022-11-23T01:32:38.2317459Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2317523Z             {
2022-11-23T01:32:38.2317664Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2317935Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 35'],
2022-11-23T01:32:38.2318053Z                 'obj_weakref': None
2022-11-23T01:32:38.2318270Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2318334Z             }
2022-11-23T01:32:38.2318400Z             
2022-11-23T01:32:38.2318660Z [2022-11-23 01:29:53,252] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 428
2022-11-23T01:32:38.2318665Z 
2022-11-23T01:32:38.2318670Z 
2022-11-23T01:32:38.2318762Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2318831Z import torch
2022-11-23T01:32:38.2318889Z import random
2022-11-23T01:32:38.2319005Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2319127Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2319132Z 
2022-11-23T01:32:38.2319210Z aten = torch.ops.aten
2022-11-23T01:32:38.2319345Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2319436Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2319441Z 
2022-11-23T01:32:38.2319445Z 
2022-11-23T01:32:38.2319578Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2319782Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2319890Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2319994Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2320095Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2320160Z {
2022-11-23T01:32:38.2320259Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2320320Z     {
2022-11-23T01:32:38.2320397Z         #pragma omp for 
2022-11-23T01:32:38.2320469Z         for(long i0=0; i0<62; i0+=1)
2022-11-23T01:32:38.2320531Z         {
2022-11-23T01:32:38.2320681Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2320813Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.2320898Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2320990Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2321054Z         }
2022-11-23T01:32:38.2321136Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2321222Z         for(long i0=992; i0<1000; i0+=1)
2022-11-23T01:32:38.2321336Z         {
2022-11-23T01:32:38.2321420Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2321501Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.2321581Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2321695Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.2321745Z         }
2022-11-23T01:32:38.2321807Z     }
2022-11-23T01:32:38.2321866Z }
2022-11-23T01:32:38.2321945Z ''')
2022-11-23T01:32:38.2321950Z 
2022-11-23T01:32:38.2321954Z 
2022-11-23T01:32:38.2322043Z async_compile.wait(globals())
2022-11-23T01:32:38.2322116Z del async_compile
2022-11-23T01:32:38.2322121Z 
2022-11-23T01:32:38.2322190Z def call(args):
2022-11-23T01:32:38.2322253Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2322322Z     args.clear()
2022-11-23T01:32:38.2322523Z     buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2322690Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2322761Z     del arg0_1
2022-11-23T01:32:38.2322829Z     del arg1_1
2022-11-23T01:32:38.2322900Z     return (buf0, )
2022-11-23T01:32:38.2322905Z 
2022-11-23T01:32:38.2322909Z 
2022-11-23T01:32:38.2322984Z if __name__ == "__main__":
2022-11-23T01:32:38.2323087Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2323208Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2323435Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2323637Z     arg1_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2323752Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2323757Z 
2022-11-23T01:32:38.2323761Z 
2022-11-23T01:32:38.2323853Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2323922Z import torch
2022-11-23T01:32:38.2323991Z import random
2022-11-23T01:32:38.2324092Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2324214Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2324219Z 
2022-11-23T01:32:38.2324296Z aten = torch.ops.aten
2022-11-23T01:32:38.2324428Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2324522Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2324527Z 
2022-11-23T01:32:38.2324531Z 
2022-11-23T01:32:38.2324663Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2324866Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2324983Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2325073Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2325171Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2325231Z {
2022-11-23T01:32:38.2325333Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2325394Z     {
2022-11-23T01:32:38.2325473Z         #pragma omp for 
2022-11-23T01:32:38.2325555Z         for(long i0=0; i0<62; i0+=1)
2022-11-23T01:32:38.2325605Z         {
2022-11-23T01:32:38.2325739Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2325872Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.2326004Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:38.2326089Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2326170Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2326261Z             tmp4.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2326311Z         }
2022-11-23T01:32:38.2326404Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2326489Z         for(long i0=992; i0<1000; i0+=1)
2022-11-23T01:32:38.2326554Z         {
2022-11-23T01:32:38.2326637Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2326717Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:38.2326867Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:38.2326936Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2327018Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2327100Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:38.2327163Z         }
2022-11-23T01:32:38.2327224Z     }
2022-11-23T01:32:38.2327312Z }
2022-11-23T01:32:38.2327391Z ''')
2022-11-23T01:32:38.2327396Z 
2022-11-23T01:32:38.2327400Z 
2022-11-23T01:32:38.2327479Z async_compile.wait(globals())
2022-11-23T01:32:38.2327551Z del async_compile
2022-11-23T01:32:38.2327556Z 
2022-11-23T01:32:38.2327625Z def call(args):
2022-11-23T01:32:38.2327703Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2327773Z     args.clear()
2022-11-23T01:32:38.2327975Z     buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2328137Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2328206Z     del arg0_1
2022-11-23T01:32:38.2328262Z     del arg1_1
2022-11-23T01:32:38.2328333Z     return (buf0, )
2022-11-23T01:32:38.2328337Z 
2022-11-23T01:32:38.2328342Z 
2022-11-23T01:32:38.2328417Z if __name__ == "__main__":
2022-11-23T01:32:38.2328533Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2328655Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2328885Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2329086Z     arg1_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2329188Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2329205Z 
2022-11-23T01:32:38.2329209Z 
2022-11-23T01:32:38.2329288Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2329357Z import torch
2022-11-23T01:32:38.2329426Z import random
2022-11-23T01:32:38.2329539Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2329658Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2329665Z 
2022-11-23T01:32:38.2329741Z aten = torch.ops.aten
2022-11-23T01:32:38.2329874Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2329952Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2329973Z 
2022-11-23T01:32:38.2329977Z 
2022-11-23T01:32:38.2330097Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2330302Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2330423Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2330525Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2330625Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2330686Z {
2022-11-23T01:32:38.2330782Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2330831Z     {
2022-11-23T01:32:38.2330906Z         #pragma omp for 
2022-11-23T01:32:38.2330989Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:38.2331054Z         {
2022-11-23T01:32:38.2331187Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2331317Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.2331401Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2331480Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2331541Z         }
2022-11-23T01:32:38.2331635Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2331719Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:38.2331783Z         {
2022-11-23T01:32:38.2331865Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2331950Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.2332018Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2332097Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.2332162Z         }
2022-11-23T01:32:38.2332227Z     }
2022-11-23T01:32:38.2332287Z }
2022-11-23T01:32:38.2332363Z ''')
2022-11-23T01:32:38.2332396Z 
2022-11-23T01:32:38.2332400Z 
2022-11-23T01:32:38.2332490Z async_compile.wait(globals())
2022-11-23T01:32:38.2332550Z del async_compile
2022-11-23T01:32:38.2332554Z 
2022-11-23T01:32:38.2332624Z def call(args):
2022-11-23T01:32:38.2332699Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2332769Z     args.clear()
2022-11-23T01:32:38.2333002Z     buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2333165Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2333233Z     del arg0_1
2022-11-23T01:32:38.2333287Z     del arg1_1
2022-11-23T01:32:38.2333356Z     return (buf0, )
2022-11-23T01:32:38.2333361Z 
2022-11-23T01:32:38.2333365Z 
2022-11-23T01:32:38.2333440Z if __name__ == "__main__":
2022-11-23T01:32:38.2333554Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2333676Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2333884Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2334080Z     arg1_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2334192Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2334201Z 
2022-11-23T01:32:38.2334204Z 
2022-11-23T01:32:38.2334297Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2334354Z import torch
2022-11-23T01:32:38.2334424Z import random
2022-11-23T01:32:38.2334539Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2334658Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2334662Z 
2022-11-23T01:32:38.2334740Z aten = torch.ops.aten
2022-11-23T01:32:38.2334871Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2334961Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2334966Z 
2022-11-23T01:32:38.2334970Z 
2022-11-23T01:32:38.2335088Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2335292Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2335410Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2335512Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2335615Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2335679Z {
2022-11-23T01:32:38.2335775Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2335836Z     {
2022-11-23T01:32:38.2335899Z         #pragma omp for 
2022-11-23T01:32:38.2335979Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:38.2336041Z         {
2022-11-23T01:32:38.2336173Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2336304Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.2336435Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:38.2336520Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2336591Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2336683Z             tmp4.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2336748Z         }
2022-11-23T01:32:38.2336843Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2336931Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:38.2336996Z         {
2022-11-23T01:32:38.2337078Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2337145Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:38.2337244Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:38.2337325Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2337405Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2337484Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:38.2337549Z         }
2022-11-23T01:32:38.2337611Z     }
2022-11-23T01:32:38.2337658Z }
2022-11-23T01:32:38.2337735Z ''')
2022-11-23T01:32:38.2337740Z 
2022-11-23T01:32:38.2337744Z 
2022-11-23T01:32:38.2337834Z async_compile.wait(globals())
2022-11-23T01:32:38.2337936Z del async_compile
2022-11-23T01:32:38.2337940Z 
2022-11-23T01:32:38.2338010Z def call(args):
2022-11-23T01:32:38.2338087Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2338156Z     args.clear()
2022-11-23T01:32:38.2338337Z     buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2338526Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2338597Z     del arg0_1
2022-11-23T01:32:38.2338664Z     del arg1_1
2022-11-23T01:32:38.2338737Z     return (buf0, )
2022-11-23T01:32:38.2338742Z 
2022-11-23T01:32:38.2338746Z 
2022-11-23T01:32:38.2338819Z if __name__ == "__main__":
2022-11-23T01:32:38.2338932Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2339053Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2339246Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2339440Z     arg1_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2339557Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2339562Z 
2022-11-23T01:32:38.2339566Z 
2022-11-23T01:32:38.2339659Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2339732Z import torch
2022-11-23T01:32:38.2339803Z import random
2022-11-23T01:32:38.2339916Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2340034Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2340039Z 
2022-11-23T01:32:38.2340104Z aten = torch.ops.aten
2022-11-23T01:32:38.2340234Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2340325Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2340330Z 
2022-11-23T01:32:38.2340334Z 
2022-11-23T01:32:38.2340465Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2340669Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2340788Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2340891Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2340988Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2341036Z {
2022-11-23T01:32:38.2341134Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2341195Z     {
2022-11-23T01:32:38.2341271Z         #pragma omp for 
2022-11-23T01:32:38.2341351Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:38.2341414Z         {
2022-11-23T01:32:38.2341546Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2341661Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.2341745Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2341835Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2341899Z         }
2022-11-23T01:32:38.2341995Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2342077Z         for(long i0=32; i0<35; i0+=1)
2022-11-23T01:32:38.2342141Z         {
2022-11-23T01:32:38.2342211Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2342291Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.2342373Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2342452Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.2342517Z         }
2022-11-23T01:32:38.2342577Z     }
2022-11-23T01:32:38.2342624Z }
2022-11-23T01:32:38.2342700Z ''')
2022-11-23T01:32:38.2342705Z 
2022-11-23T01:32:38.2342709Z 
2022-11-23T01:32:38.2342797Z async_compile.wait(globals())
2022-11-23T01:32:38.2342868Z del async_compile
2022-11-23T01:32:38.2342873Z 
2022-11-23T01:32:38.2342942Z def call(args):
2022-11-23T01:32:38.2343017Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2343086Z     args.clear()
2022-11-23T01:32:38.2343281Z     buf0 = empty_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2343428Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2343525Z     del arg0_1
2022-11-23T01:32:38.2343591Z     del arg1_1
2022-11-23T01:32:38.2343663Z     return (buf0, )
2022-11-23T01:32:38.2343668Z 
2022-11-23T01:32:38.2343673Z 
2022-11-23T01:32:38.2343750Z if __name__ == "__main__":
2022-11-23T01:32:38.2343887Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2344008Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2344204Z     arg0_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2344382Z     arg1_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2344583Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2344953Z [2022-11-23 01:29:53,270] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/u5/cu5vayxe2q6knxf37cw5o2o7h4tfqj4zapta6hhzzbo4in5mx4uo.py
2022-11-23T01:32:38.2345220Z [2022-11-23 01:29:53,270] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 428
2022-11-23T01:32:38.2345463Z [2022-11-23 01:29:53,278] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2345731Z [2022-11-23 01:29:53,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2345947Z [2022-11-23 01:29:53,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2346198Z [2022-11-23 01:29:53,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2346483Z [2022-11-23 01:29:53,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2346792Z [2022-11-23 01:29:53,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2347120Z [2022-11-23 01:29:53,279] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:38.2347215Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2347311Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:38.2347385Z               4 BINARY_ADD
2022-11-23T01:32:38.2347481Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2347575Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2347661Z              10 CALL_METHOD              1
2022-11-23T01:32:38.2347738Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:38.2347814Z              14 BINARY_ADD
2022-11-23T01:32:38.2347903Z              16 BUILD_TUPLE              1
2022-11-23T01:32:38.2347979Z              18 RETURN_VALUE
2022-11-23T01:32:38.2348043Z  
2022-11-23T01:32:38.2348048Z 
2022-11-23T01:32:38.2348315Z [2022-11-23 01:29:53,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943
2022-11-23T01:32:38.2348524Z [2022-11-23 01:29:53,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2348751Z [2022-11-23 01:29:53,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:38.2349034Z [2022-11-23 01:29:53,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.2349276Z [2022-11-23 01:29:53,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2349556Z [2022-11-23 01:29:53,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2349859Z [2022-11-23 01:29:53,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2350095Z [2022-11-23 01:29:53,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.2350366Z [2022-11-23 01:29:53,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2350643Z [2022-11-23 01:29:53,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2350951Z [2022-11-23 01:29:53,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2351282Z [2022-11-23 01:29:53,289] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:38.2351513Z [2022-11-23 01:29:53,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2351747Z [2022-11-23 01:29:53,289] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2352000Z [2022-11-23 01:29:53,292] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2352251Z [2022-11-23 01:29:53,301] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2352440Z [2022-11-23 01:29:53,302] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2352574Z  __compiled_fn_437 <eval_with_key>.2701 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2352665Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2352754Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.2352912Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:38.2353008Z call_method, view, view, (add, [35]), {}
2022-11-23T01:32:38.2353187Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.2353284Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:38.2353289Z 
2022-11-23T01:32:38.2353565Z [2022-11-23 01:29:53,303] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2353659Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2353752Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2353844Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2353921Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2353998Z               8 RETURN_VALUE
2022-11-23T01:32:38.2354003Z 
2022-11-23T01:32:38.2354066Z  
2022-11-23T01:32:38.2354340Z [2022-11-23 01:29:53,303] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2354448Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_437)
2022-11-23T01:32:38.2354537Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2354625Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2354701Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2354776Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2354862Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2354939Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.2355031Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.2355132Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2355259Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2355357Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2355433Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.2355528Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2355628Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2355716Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2355792Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.2355879Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.2355971Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2356056Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2356143Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2356249Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.2356349Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2356439Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2356559Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2356647Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2356708Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.2356808Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2356884Z              54 RETURN_VALUE
2022-11-23T01:32:38.2356889Z 
2022-11-23T01:32:38.2356952Z  
2022-11-23T01:32:38.2357232Z [2022-11-23 01:29:53,306] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2357303Z  - 
2022-11-23T01:32:38.2357421Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2357473Z             {
2022-11-23T01:32:38.2357613Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2357802Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.2357922Z                 'obj_weakref': None
2022-11-23T01:32:38.2358145Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2358210Z             }
2022-11-23T01:32:38.2358276Z             
2022-11-23T01:32:38.2358331Z  - 
2022-11-23T01:32:38.2358455Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2358518Z             {
2022-11-23T01:32:38.2358660Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2358766Z                 'code': None,
2022-11-23T01:32:38.2358975Z                 'obj_weakref': <weakref at 0x7f7106cfcdd0; to 'Tensor' at 0x7f710637e3b0>
2022-11-23T01:32:38.2359222Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2359285Z             }
2022-11-23T01:32:38.2359336Z             
2022-11-23T01:32:38.2359404Z  - 
2022-11-23T01:32:38.2359530Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.2359594Z             {
2022-11-23T01:32:38.2359736Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2359843Z                 'code': None,
2022-11-23T01:32:38.2360039Z                 'obj_weakref': <weakref at 0x7f7106cfcef0; to 'Tensor' at 0x7f70f28bf0b0>
2022-11-23T01:32:38.2360288Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2360351Z             }
2022-11-23T01:32:38.2360415Z             
2022-11-23T01:32:38.2360485Z  - 
2022-11-23T01:32:38.2360613Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2360677Z             {
2022-11-23T01:32:38.2360798Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2360966Z                 'code': ['___check_obj_id(model, 140123394746992)'],
2022-11-23T01:32:38.2361083Z                 'obj_weakref': None
2022-11-23T01:32:38.2361310Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2361377Z             }
2022-11-23T01:32:38.2361439Z             
2022-11-23T01:32:38.2361507Z  - 
2022-11-23T01:32:38.2361615Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2361677Z             {
2022-11-23T01:32:38.2361813Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2362031Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2362152Z                 'obj_weakref': None
2022-11-23T01:32:38.2362368Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2362431Z             }
2022-11-23T01:32:38.2362493Z             
2022-11-23T01:32:38.2362549Z  - 
2022-11-23T01:32:38.2362725Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2362788Z             {
2022-11-23T01:32:38.2362956Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2363457Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents == [35]'],
2022-11-23T01:32:38.2363607Z                 'obj_weakref': None
2022-11-23T01:32:38.2363827Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2363878Z             }
2022-11-23T01:32:38.2363940Z             
2022-11-23T01:32:38.2364008Z  - 
2022-11-23T01:32:38.2364193Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2364257Z             {
2022-11-23T01:32:38.2364397Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2364679Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 35'],
2022-11-23T01:32:38.2364799Z                 'obj_weakref': None
2022-11-23T01:32:38.2365001Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2365063Z             }
2022-11-23T01:32:38.2365125Z             
2022-11-23T01:32:38.2365386Z [2022-11-23 01:29:53,322] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 429
2022-11-23T01:32:38.2365752Z [2022-11-23 01:29:53,355] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zd/czd77gxh3wfo22cdep66uqr4ufupwzayfrxrzqmlnmhnwd276p63.py
2022-11-23T01:32:38.2366017Z [2022-11-23 01:29:53,356] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 429
2022-11-23T01:32:38.2366252Z [2022-11-23 01:29:53,365] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2366520Z [2022-11-23 01:29:53,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2366726Z [2022-11-23 01:29:53,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2366975Z [2022-11-23 01:29:53,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2367261Z [2022-11-23 01:29:53,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2367584Z [2022-11-23 01:29:53,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2367909Z [2022-11-23 01:29:53,366] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:38.2368003Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2368096Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2368189Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2368279Z               6 CALL_METHOD              1
2022-11-23T01:32:38.2368356Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:38.2368428Z              10 BINARY_ADD
2022-11-23T01:32:38.2368516Z              12 BUILD_TUPLE              1
2022-11-23T01:32:38.2368597Z              14 RETURN_VALUE
2022-11-23T01:32:38.2368658Z  
2022-11-23T01:32:38.2368665Z 
2022-11-23T01:32:38.2368931Z [2022-11-23 01:29:53,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940
2022-11-23T01:32:38.2369137Z [2022-11-23 01:29:53,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2369365Z [2022-11-23 01:29:53,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2369646Z [2022-11-23 01:29:53,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2369948Z [2022-11-23 01:29:53,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2370216Z [2022-11-23 01:29:53,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.2370516Z [2022-11-23 01:29:53,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2370757Z [2022-11-23 01:29:53,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2371000Z [2022-11-23 01:29:53,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2371333Z [2022-11-23 01:29:53,372] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:38.2371576Z [2022-11-23 01:29:53,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2371811Z [2022-11-23 01:29:53,373] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2372049Z [2022-11-23 01:29:53,375] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2372298Z [2022-11-23 01:29:53,384] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2372485Z [2022-11-23 01:29:53,384] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2372620Z  __compiled_fn_438 <eval_with_key>.2707 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2372710Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2372796Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.2372895Z call_method, view, view, (ex_0_, [5040]), {}
2022-11-23T01:32:38.2373071Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.2373153Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.2373158Z 
2022-11-23T01:32:38.2373434Z [2022-11-23 01:29:53,385] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2373527Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2373622Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2373714Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2373802Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2373877Z               8 RETURN_VALUE
2022-11-23T01:32:38.2373882Z 
2022-11-23T01:32:38.2373943Z  
2022-11-23T01:32:38.2374201Z [2022-11-23 01:29:53,385] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2374309Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_438)
2022-11-23T01:32:38.2374399Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2374486Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2374564Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2374653Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2374743Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2374806Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.2374896Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.2375004Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2375129Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2375225Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2375311Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.2375407Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2375495Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2375583Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2375659Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.2375747Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.2375870Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2375967Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2376056Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2376131Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.2376259Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2376351Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2376447Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2376535Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2376610Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.2376713Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2376788Z              54 RETURN_VALUE
2022-11-23T01:32:38.2376794Z 
2022-11-23T01:32:38.2376841Z  
2022-11-23T01:32:38.2377026Z [2022-11-23 01:29:53,388] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2377097Z  - 
2022-11-23T01:32:38.2377217Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2377282Z             {
2022-11-23T01:32:38.2377421Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2377607Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.2377713Z                 'obj_weakref': None
2022-11-23T01:32:38.2377935Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2377999Z             }
2022-11-23T01:32:38.2378064Z             
2022-11-23T01:32:38.2378133Z  - 
2022-11-23T01:32:38.2378256Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2378318Z             {
2022-11-23T01:32:38.2378445Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2378550Z                 'code': None,
2022-11-23T01:32:38.2378760Z                 'obj_weakref': <weakref at 0x7f70f28b5c50; to 'Tensor' at 0x7f710637e3b0>
2022-11-23T01:32:38.2379009Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2379074Z             }
2022-11-23T01:32:38.2379135Z             
2022-11-23T01:32:38.2379201Z  - 
2022-11-23T01:32:38.2379311Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.2379372Z             {
2022-11-23T01:32:38.2379515Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2379622Z                 'code': None,
2022-11-23T01:32:38.2379828Z                 'obj_weakref': <weakref at 0x7f70f28f0f50; to 'Tensor' at 0x7f71c1267470>
2022-11-23T01:32:38.2380077Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2380140Z             }
2022-11-23T01:32:38.2380190Z             
2022-11-23T01:32:38.2380257Z  - 
2022-11-23T01:32:38.2380387Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2380450Z             {
2022-11-23T01:32:38.2380582Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2380753Z                 'code': ['___check_obj_id(model, 140123394745408)'],
2022-11-23T01:32:38.2380871Z                 'obj_weakref': None
2022-11-23T01:32:38.2381083Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2381146Z             }
2022-11-23T01:32:38.2381213Z             
2022-11-23T01:32:38.2381283Z  - 
2022-11-23T01:32:38.2381404Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2381467Z             {
2022-11-23T01:32:38.2381599Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2381801Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2381916Z                 'obj_weakref': None
2022-11-23T01:32:38.2382135Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2382197Z             }
2022-11-23T01:32:38.2382259Z             
2022-11-23T01:32:38.2382358Z  - 
2022-11-23T01:32:38.2382537Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2382587Z             {
2022-11-23T01:32:38.2382752Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2383224Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents == [5040]'],
2022-11-23T01:32:38.2383342Z                 'obj_weakref': None
2022-11-23T01:32:38.2383559Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2383621Z             }
2022-11-23T01:32:38.2383682Z             
2022-11-23T01:32:38.2383751Z  - 
2022-11-23T01:32:38.2383922Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2383984Z             {
2022-11-23T01:32:38.2384126Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2384414Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 5040'],
2022-11-23T01:32:38.2384630Z                 'obj_weakref': None
2022-11-23T01:32:38.2384851Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2384914Z             }
2022-11-23T01:32:38.2384963Z             
2022-11-23T01:32:38.2385223Z [2022-11-23 01:29:53,401] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 430
2022-11-23T01:32:38.2385590Z [2022-11-23 01:29:53,417] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ib/cibcr4cl6vzeh2stmyqgllb2vnwln5amexkol6ifqhxm2zdu5drn.py
2022-11-23T01:32:38.2385856Z [2022-11-23 01:29:53,418] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 430
2022-11-23T01:32:38.2386092Z [2022-11-23 01:29:53,431] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2386361Z [2022-11-23 01:29:53,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2386580Z [2022-11-23 01:29:53,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2386831Z [2022-11-23 01:29:53,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2387117Z [2022-11-23 01:29:53,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2387424Z [2022-11-23 01:29:53,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2387750Z [2022-11-23 01:29:53,433] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:38.2387844Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2387935Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:38.2388011Z               4 BINARY_ADD
2022-11-23T01:32:38.2388109Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2388203Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2388289Z              10 CALL_METHOD              1
2022-11-23T01:32:38.2388365Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:38.2388437Z              14 BINARY_ADD
2022-11-23T01:32:38.2388525Z              16 BUILD_TUPLE              1
2022-11-23T01:32:38.2388600Z              18 RETURN_VALUE
2022-11-23T01:32:38.2388665Z  
2022-11-23T01:32:38.2388670Z 
2022-11-23T01:32:38.2388935Z [2022-11-23 01:29:53,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943
2022-11-23T01:32:38.2389142Z [2022-11-23 01:29:53,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2389418Z [2022-11-23 01:29:53,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:38.2389687Z [2022-11-23 01:29:53,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.2389955Z [2022-11-23 01:29:53,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2390233Z [2022-11-23 01:29:53,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2390537Z [2022-11-23 01:29:53,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2390775Z [2022-11-23 01:29:53,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.2391045Z [2022-11-23 01:29:53,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2391285Z [2022-11-23 01:29:53,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2391528Z [2022-11-23 01:29:53,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2391858Z [2022-11-23 01:29:53,443] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:38.2392103Z [2022-11-23 01:29:53,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2392322Z [2022-11-23 01:29:53,443] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2392572Z [2022-11-23 01:29:53,446] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2392821Z [2022-11-23 01:29:53,455] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2393012Z [2022-11-23 01:29:53,455] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2393147Z  __compiled_fn_439 <eval_with_key>.2713 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2393236Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2393326Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.2393498Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:38.2393582Z call_method, view, view, (add, [5040]), {}
2022-11-23T01:32:38.2393760Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.2393858Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:38.2393863Z 
2022-11-23T01:32:38.2394140Z [2022-11-23 01:29:53,456] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2394234Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2394325Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2394421Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2394498Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2394575Z               8 RETURN_VALUE
2022-11-23T01:32:38.2394581Z 
2022-11-23T01:32:38.2394643Z  
2022-11-23T01:32:38.2394920Z [2022-11-23 01:29:53,456] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2395028Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_439)
2022-11-23T01:32:38.2395118Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2395207Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2395284Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2395359Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2395446Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2395520Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.2395607Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.2395744Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2395871Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2395968Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2396043Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.2396164Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2396267Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2396358Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2396433Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.2396521Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.2396612Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2396710Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2396785Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2396860Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.2396966Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2397059Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2397276Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2397364Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2397441Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.2397529Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2397603Z              54 RETURN_VALUE
2022-11-23T01:32:38.2397609Z 
2022-11-23T01:32:38.2397669Z  
2022-11-23T01:32:38.2397854Z [2022-11-23 01:29:53,459] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2397923Z  - 
2022-11-23T01:32:38.2398041Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2398105Z             {
2022-11-23T01:32:38.2398233Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2398416Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.2398537Z                 'obj_weakref': None
2022-11-23T01:32:38.2398760Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2398825Z             }
2022-11-23T01:32:38.2398887Z             
2022-11-23T01:32:38.2398955Z  - 
2022-11-23T01:32:38.2399068Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2399130Z             {
2022-11-23T01:32:38.2399271Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2399377Z                 'code': None,
2022-11-23T01:32:38.2399587Z                 'obj_weakref': <weakref at 0x7f71c471c2f0; to 'Tensor' at 0x7f710637e3b0>
2022-11-23T01:32:38.2399835Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2399899Z             }
2022-11-23T01:32:38.2399949Z             
2022-11-23T01:32:38.2400017Z  - 
2022-11-23T01:32:38.2400140Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.2400205Z             {
2022-11-23T01:32:38.2400348Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2400453Z                 'code': None,
2022-11-23T01:32:38.2400658Z                 'obj_weakref': <weakref at 0x7f71c4712650; to 'Tensor' at 0x7f71c0e9a290>
2022-11-23T01:32:38.2400895Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2400959Z             }
2022-11-23T01:32:38.2401022Z             
2022-11-23T01:32:38.2401093Z  - 
2022-11-23T01:32:38.2401225Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2401289Z             {
2022-11-23T01:32:38.2401423Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2401576Z                 'code': ['___check_obj_id(model, 140123394746992)'],
2022-11-23T01:32:38.2401693Z                 'obj_weakref': None
2022-11-23T01:32:38.2401920Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2402039Z             }
2022-11-23T01:32:38.2402101Z             
2022-11-23T01:32:38.2402168Z  - 
2022-11-23T01:32:38.2402290Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2402340Z             {
2022-11-23T01:32:38.2402475Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2402730Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2402851Z                 'obj_weakref': None
2022-11-23T01:32:38.2403066Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2409437Z             }
2022-11-23T01:32:38.2409525Z             
2022-11-23T01:32:38.2409603Z  - 
2022-11-23T01:32:38.2409797Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2409863Z             {
2022-11-23T01:32:38.2410037Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2410487Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents == [5040]'],
2022-11-23T01:32:38.2410613Z                 'obj_weakref': None
2022-11-23T01:32:38.2410841Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2410906Z             }
2022-11-23T01:32:38.2410957Z             
2022-11-23T01:32:38.2411024Z  - 
2022-11-23T01:32:38.2411209Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2411272Z             {
2022-11-23T01:32:38.2411415Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2411703Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 5040'],
2022-11-23T01:32:38.2411821Z                 'obj_weakref': None
2022-11-23T01:32:38.2412030Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2412094Z             }
2022-11-23T01:32:38.2412155Z             
2022-11-23T01:32:38.2412419Z [2022-11-23 01:29:53,478] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 431
2022-11-23T01:32:38.2412794Z [2022-11-23 01:29:53,735] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wl/cwly7ajvmkxjlni2waw2gqkm24tu2uqxcxkyeijeiuhmuprb6zzf.py
2022-11-23T01:32:38.2413058Z [2022-11-23 01:29:53,735] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 431
2022-11-23T01:32:38.2413293Z [2022-11-23 01:29:53,744] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2413561Z [2022-11-23 01:29:53,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2413765Z [2022-11-23 01:29:53,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2414017Z [2022-11-23 01:29:53,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2414304Z [2022-11-23 01:29:53,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2414627Z [2022-11-23 01:29:53,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2414952Z [2022-11-23 01:29:53,745] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:38.2415045Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2415139Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2415231Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2415318Z               6 CALL_METHOD              1
2022-11-23T01:32:38.2415479Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:38.2415552Z              10 BINARY_ADD
2022-11-23T01:32:38.2415641Z              12 BUILD_TUPLE              1
2022-11-23T01:32:38.2415716Z              14 RETURN_VALUE
2022-11-23T01:32:38.2415779Z  
2022-11-23T01:32:38.2415785Z 
2022-11-23T01:32:38.2416104Z [2022-11-23 01:29:53,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940
2022-11-23T01:32:38.2416314Z [2022-11-23 01:29:53,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2416559Z [2022-11-23 01:29:53,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2416828Z [2022-11-23 01:29:53,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2417129Z [2022-11-23 01:29:53,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2417366Z [2022-11-23 01:29:53,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.2417638Z [2022-11-23 01:29:53,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2417879Z [2022-11-23 01:29:53,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2418123Z [2022-11-23 01:29:53,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2418451Z [2022-11-23 01:29:53,751] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:38.2418693Z [2022-11-23 01:29:53,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2418927Z [2022-11-23 01:29:53,751] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2419168Z [2022-11-23 01:29:53,753] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2419413Z [2022-11-23 01:29:53,758] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2419606Z [2022-11-23 01:29:53,758] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2419739Z  __compiled_fn_440 <eval_with_key>.2719 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2419828Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2419914Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.2420016Z call_method, view, view, (ex_0_, [6, 4, 5, 42]), {}
2022-11-23T01:32:38.2420191Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.2420275Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.2420292Z 
2022-11-23T01:32:38.2420555Z [2022-11-23 01:29:53,759] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2420650Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2420740Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2420831Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2420924Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2420999Z               8 RETURN_VALUE
2022-11-23T01:32:38.2421004Z 
2022-11-23T01:32:38.2421067Z  
2022-11-23T01:32:38.2421326Z [2022-11-23 01:29:53,759] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2421433Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_440)
2022-11-23T01:32:38.2421523Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2421610Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2421686Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2421773Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2421896Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2421959Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.2422046Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.2422149Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2422303Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2422401Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2422488Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.2422583Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2422682Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2422757Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2422832Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.2422920Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.2423013Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2423113Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2423200Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2423276Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.2423365Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2423455Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2423552Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2423636Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2423712Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.2423811Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2423888Z              54 RETURN_VALUE
2022-11-23T01:32:38.2423893Z 
2022-11-23T01:32:38.2423941Z  
2022-11-23T01:32:38.2424124Z [2022-11-23 01:29:53,762] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2424192Z  - 
2022-11-23T01:32:38.2424313Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2424379Z             {
2022-11-23T01:32:38.2424627Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2424818Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.2424922Z                 'obj_weakref': None
2022-11-23T01:32:38.2425147Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2425211Z             }
2022-11-23T01:32:38.2425274Z             
2022-11-23T01:32:38.2425343Z  - 
2022-11-23T01:32:38.2425466Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2425530Z             {
2022-11-23T01:32:38.2425659Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2425764Z                 'code': None,
2022-11-23T01:32:38.2425975Z                 'obj_weakref': <weakref at 0x7f71c4712dd0; to 'Tensor' at 0x7f71c470cdd0>
2022-11-23T01:32:38.2426226Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2426293Z             }
2022-11-23T01:32:38.2426356Z             
2022-11-23T01:32:38.2426425Z  - 
2022-11-23T01:32:38.2426534Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.2426597Z             {
2022-11-23T01:32:38.2426738Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2426845Z                 'code': None,
2022-11-23T01:32:38.2427050Z                 'obj_weakref': <weakref at 0x7f7106a2b350; to 'Tensor' at 0x7f7106d09c50>
2022-11-23T01:32:38.2427296Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2427358Z             }
2022-11-23T01:32:38.2427421Z             
2022-11-23T01:32:38.2427475Z  - 
2022-11-23T01:32:38.2427604Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2427666Z             {
2022-11-23T01:32:38.2427802Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2427970Z                 'code': ['___check_obj_id(model, 140123394745408)'],
2022-11-23T01:32:38.2428127Z                 'obj_weakref': None
2022-11-23T01:32:38.2428342Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2428404Z             }
2022-11-23T01:32:38.2428466Z             
2022-11-23T01:32:38.2428533Z  - 
2022-11-23T01:32:38.2428696Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2428759Z             {
2022-11-23T01:32:38.2428896Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2429100Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2429215Z                 'obj_weakref': None
2022-11-23T01:32:38.2429429Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2429491Z             }
2022-11-23T01:32:38.2429555Z             
2022-11-23T01:32:38.2429624Z  - 
2022-11-23T01:32:38.2429799Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2429853Z             {
2022-11-23T01:32:38.2430018Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2430765Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[3], 94279403915040)', 'model.__closure__[0].cell_contents == [6, 4, 5, 42]'],
2022-11-23T01:32:38.2430883Z                 'obj_weakref': None
2022-11-23T01:32:38.2431103Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2431167Z             }
2022-11-23T01:32:38.2431230Z             
2022-11-23T01:32:38.2431297Z  - 
2022-11-23T01:32:38.2431480Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2431533Z             {
2022-11-23T01:32:38.2431672Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2431957Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 6'],
2022-11-23T01:32:38.2432075Z                 'obj_weakref': None
2022-11-23T01:32:38.2432294Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2432356Z             }
2022-11-23T01:32:38.2432419Z             
2022-11-23T01:32:38.2432474Z  - 
2022-11-23T01:32:38.2432656Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2432719Z             {
2022-11-23T01:32:38.2432861Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2433140Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 4'],
2022-11-23T01:32:38.2433262Z                 'obj_weakref': None
2022-11-23T01:32:38.2433478Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2433540Z             }
2022-11-23T01:32:38.2433589Z             
2022-11-23T01:32:38.2433657Z  - 
2022-11-23T01:32:38.2433840Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:38.2433902Z             {
2022-11-23T01:32:38.2434044Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2434325Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', 'model.__closure__[0].cell_contents[2] == 5'],
2022-11-23T01:32:38.2434442Z                 'obj_weakref': None
2022-11-23T01:32:38.2434645Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2434707Z             }
2022-11-23T01:32:38.2434770Z             
2022-11-23T01:32:38.2434889Z  - 
2022-11-23T01:32:38.2435070Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:38.2435132Z             {
2022-11-23T01:32:38.2435271Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2435568Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94279403915040)', 'model.__closure__[0].cell_contents[3] == 42'],
2022-11-23T01:32:38.2435686Z                 'obj_weakref': None
2022-11-23T01:32:38.2435901Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2435963Z             }
2022-11-23T01:32:38.2436026Z             
2022-11-23T01:32:38.2436285Z [2022-11-23 01:29:53,770] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 432
2022-11-23T01:32:38.2436656Z [2022-11-23 01:29:53,786] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lm/clm5s2r6xpeyjptmaefpg434aclgjgts6jqqfhafqao6fovhm43e.py
2022-11-23T01:32:38.2436924Z [2022-11-23 01:29:53,786] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 432
2022-11-23T01:32:38.2437271Z [2022-11-23 01:29:53,795] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2437540Z [2022-11-23 01:29:53,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2437757Z [2022-11-23 01:29:53,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2438010Z [2022-11-23 01:29:53,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2438292Z [2022-11-23 01:29:53,795] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2438615Z [2022-11-23 01:29:53,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2438946Z [2022-11-23 01:29:53,796] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:38.2439038Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2439133Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:38.2439195Z               4 BINARY_ADD
2022-11-23T01:32:38.2439288Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2439380Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2439466Z              10 CALL_METHOD              1
2022-11-23T01:32:38.2439556Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:38.2439631Z              14 BINARY_ADD
2022-11-23T01:32:38.2439721Z              16 BUILD_TUPLE              1
2022-11-23T01:32:38.2439785Z              18 RETURN_VALUE
2022-11-23T01:32:38.2439846Z  
2022-11-23T01:32:38.2439854Z 
2022-11-23T01:32:38.2440123Z [2022-11-23 01:29:53,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943
2022-11-23T01:32:38.2440337Z [2022-11-23 01:29:53,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2440579Z [2022-11-23 01:29:53,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:38.2440860Z [2022-11-23 01:29:53,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.2441102Z [2022-11-23 01:29:53,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2441382Z [2022-11-23 01:29:53,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2441682Z [2022-11-23 01:29:53,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2441906Z [2022-11-23 01:29:53,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.2442236Z [2022-11-23 01:29:53,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2442508Z [2022-11-23 01:29:53,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2442759Z [2022-11-23 01:29:53,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2443090Z [2022-11-23 01:29:53,803] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:38.2443337Z [2022-11-23 01:29:53,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2443573Z [2022-11-23 01:29:53,803] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2443825Z [2022-11-23 01:29:53,805] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2444079Z [2022-11-23 01:29:53,811] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2444268Z [2022-11-23 01:29:53,811] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2444391Z  __compiled_fn_441 <eval_with_key>.2725 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2444481Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2444568Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.2444742Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:38.2444844Z call_method, view, view, (add, [6, 4, 5, 42]), {}
2022-11-23T01:32:38.2445022Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.2445120Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:38.2445127Z 
2022-11-23T01:32:38.2445391Z [2022-11-23 01:29:53,812] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2445489Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2445580Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2445674Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2445768Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2445846Z               8 RETURN_VALUE
2022-11-23T01:32:38.2445851Z 
2022-11-23T01:32:38.2445914Z  
2022-11-23T01:32:38.2446187Z [2022-11-23 01:29:53,812] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2446286Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_441)
2022-11-23T01:32:38.2446376Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2446468Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2446545Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2446634Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2446724Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2446801Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.2446876Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.2446980Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2447112Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2447210Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2447299Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.2447394Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2447495Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2447585Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2447647Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.2447734Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.2447827Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2447958Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2448044Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2448118Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.2448218Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2448322Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2448421Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2448507Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2448583Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.2448683Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2448758Z              54 RETURN_VALUE
2022-11-23T01:32:38.2448763Z 
2022-11-23T01:32:38.2448823Z  
2022-11-23T01:32:38.2448994Z [2022-11-23 01:29:53,814] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2449062Z  - 
2022-11-23T01:32:38.2449182Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2449249Z             {
2022-11-23T01:32:38.2449389Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2449573Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.2449691Z                 'obj_weakref': None
2022-11-23T01:32:38.2449902Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2449967Z             }
2022-11-23T01:32:38.2450029Z             
2022-11-23T01:32:38.2450098Z  - 
2022-11-23T01:32:38.2450222Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2450285Z             {
2022-11-23T01:32:38.2450425Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2450519Z                 'code': None,
2022-11-23T01:32:38.2450724Z                 'obj_weakref': <weakref at 0x7f7106a2bb90; to 'Tensor' at 0x7f7129e813b0>
2022-11-23T01:32:38.2450970Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2451036Z             }
2022-11-23T01:32:38.2451098Z             
2022-11-23T01:32:38.2451166Z  - 
2022-11-23T01:32:38.2451288Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.2451338Z             {
2022-11-23T01:32:38.2451479Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2451587Z                 'code': None,
2022-11-23T01:32:38.2451794Z                 'obj_weakref': <weakref at 0x7f710671c530; to 'Tensor' at 0x7f7106d09c50>
2022-11-23T01:32:38.2452041Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2452103Z             }
2022-11-23T01:32:38.2452164Z             
2022-11-23T01:32:38.2452219Z  - 
2022-11-23T01:32:38.2452347Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2452409Z             {
2022-11-23T01:32:38.2452542Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2452709Z                 'code': ['___check_obj_id(model, 140123394746992)'],
2022-11-23T01:32:38.2452830Z                 'obj_weakref': None
2022-11-23T01:32:38.2453056Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2453106Z             }
2022-11-23T01:32:38.2453167Z             
2022-11-23T01:32:38.2453234Z  - 
2022-11-23T01:32:38.2453356Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2453417Z             {
2022-11-23T01:32:38.2453551Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2453765Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2453869Z                 'obj_weakref': None
2022-11-23T01:32:38.2454084Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2454147Z             }
2022-11-23T01:32:38.2454207Z             
2022-11-23T01:32:38.2454276Z  - 
2022-11-23T01:32:38.2454452Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2454547Z             {
2022-11-23T01:32:38.2454704Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2455476Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[3], 94279403915040)', 'model.__closure__[0].cell_contents == [6, 4, 5, 42]'],
2022-11-23T01:32:38.2455597Z                 'obj_weakref': None
2022-11-23T01:32:38.2455813Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2455874Z             }
2022-11-23T01:32:38.2455935Z             
2022-11-23T01:32:38.2456002Z  - 
2022-11-23T01:32:38.2456187Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2456249Z             {
2022-11-23T01:32:38.2456379Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2456661Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 6'],
2022-11-23T01:32:38.2456778Z                 'obj_weakref': None
2022-11-23T01:32:38.2456996Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2457058Z             }
2022-11-23T01:32:38.2457120Z             
2022-11-23T01:32:38.2457187Z  - 
2022-11-23T01:32:38.2457356Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2457417Z             {
2022-11-23T01:32:38.2457558Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2457837Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 4'],
2022-11-23T01:32:38.2457956Z                 'obj_weakref': None
2022-11-23T01:32:38.2458171Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2458234Z             }
2022-11-23T01:32:38.2458283Z             
2022-11-23T01:32:38.2458352Z  - 
2022-11-23T01:32:38.2458535Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:38.2458597Z             {
2022-11-23T01:32:38.2458737Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2459019Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', 'model.__closure__[0].cell_contents[2] == 5'],
2022-11-23T01:32:38.2459135Z                 'obj_weakref': None
2022-11-23T01:32:38.2459350Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2459399Z             }
2022-11-23T01:32:38.2459462Z             
2022-11-23T01:32:38.2459530Z  - 
2022-11-23T01:32:38.2459713Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:38.2459775Z             {
2022-11-23T01:32:38.2459914Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2460198Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94279403915040)', 'model.__closure__[0].cell_contents[3] == 42'],
2022-11-23T01:32:38.2460303Z                 'obj_weakref': None
2022-11-23T01:32:38.2460517Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2460580Z             }
2022-11-23T01:32:38.2460643Z             
2022-11-23T01:32:38.2460905Z [2022-11-23 01:29:53,824] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 433
2022-11-23T01:32:38.2460910Z 
2022-11-23T01:32:38.2460914Z 
2022-11-23T01:32:38.2461007Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2461074Z import torch
2022-11-23T01:32:38.2461206Z import random
2022-11-23T01:32:38.2461309Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2461429Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2461434Z 
2022-11-23T01:32:38.2461512Z aten = torch.ops.aten
2022-11-23T01:32:38.2461672Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2461764Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2461769Z 
2022-11-23T01:32:38.2461774Z 
2022-11-23T01:32:38.2461907Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2462111Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2462229Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2462320Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2462418Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2462480Z {
2022-11-23T01:32:38.2462579Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2462643Z     {
2022-11-23T01:32:38.2462719Z         #pragma omp for 
2022-11-23T01:32:38.2462788Z         for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:38.2462849Z         {
2022-11-23T01:32:38.2462999Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2463132Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.2463263Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:38.2463348Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2463432Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2463522Z             tmp4.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2463572Z         }
2022-11-23T01:32:38.2463666Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2463748Z         for(long i0=32; i0<35; i0+=1)
2022-11-23T01:32:38.2463810Z         {
2022-11-23T01:32:38.2463892Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2463976Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:38.2464075Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:38.2464145Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2464224Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2464303Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:38.2464366Z         }
2022-11-23T01:32:38.2464426Z     }
2022-11-23T01:32:38.2464573Z }
2022-11-23T01:32:38.2464644Z ''')
2022-11-23T01:32:38.2464662Z 
2022-11-23T01:32:38.2464666Z 
2022-11-23T01:32:38.2464744Z async_compile.wait(globals())
2022-11-23T01:32:38.2464817Z del async_compile
2022-11-23T01:32:38.2464822Z 
2022-11-23T01:32:38.2464892Z def call(args):
2022-11-23T01:32:38.2464967Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2465038Z     args.clear()
2022-11-23T01:32:38.2465233Z     buf0 = empty_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2465395Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2465453Z     del arg0_1
2022-11-23T01:32:38.2465518Z     del arg1_1
2022-11-23T01:32:38.2465590Z     return (buf0, )
2022-11-23T01:32:38.2465594Z 
2022-11-23T01:32:38.2465598Z 
2022-11-23T01:32:38.2465673Z if __name__ == "__main__":
2022-11-23T01:32:38.2465789Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2465911Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2466111Z     arg0_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2466303Z     arg1_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2466405Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2466410Z 
2022-11-23T01:32:38.2466427Z 
2022-11-23T01:32:38.2466506Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2466575Z import torch
2022-11-23T01:32:38.2466644Z import random
2022-11-23T01:32:38.2466756Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2466911Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2466915Z 
2022-11-23T01:32:38.2466992Z aten = torch.ops.aten
2022-11-23T01:32:38.2467125Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2467203Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2467236Z 
2022-11-23T01:32:38.2467241Z 
2022-11-23T01:32:38.2467374Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2467576Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2467692Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2467795Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2467895Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2467956Z {
2022-11-23T01:32:38.2468051Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2468099Z     {
2022-11-23T01:32:38.2468176Z         #pragma omp for 
2022-11-23T01:32:38.2468260Z         for(long i0=0; i0<315; i0+=1)
2022-11-23T01:32:38.2468323Z         {
2022-11-23T01:32:38.2468455Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2468585Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.2468672Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2468750Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2468811Z         }
2022-11-23T01:32:38.2468905Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2468989Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T01:32:38.2469052Z         {
2022-11-23T01:32:38.2469135Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2469215Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.2469283Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2469362Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.2469422Z         }
2022-11-23T01:32:38.2469483Z     }
2022-11-23T01:32:38.2469548Z }
2022-11-23T01:32:38.2469625Z ''')
2022-11-23T01:32:38.2469630Z 
2022-11-23T01:32:38.2469634Z 
2022-11-23T01:32:38.2469722Z async_compile.wait(globals())
2022-11-23T01:32:38.2469781Z del async_compile
2022-11-23T01:32:38.2469786Z 
2022-11-23T01:32:38.2469856Z def call(args):
2022-11-23T01:32:38.2469930Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2470001Z     args.clear()
2022-11-23T01:32:38.2470198Z     buf0 = empty_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2470357Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2470424Z     del arg0_1
2022-11-23T01:32:38.2470477Z     del arg1_1
2022-11-23T01:32:38.2470547Z     return (buf0, )
2022-11-23T01:32:38.2470552Z 
2022-11-23T01:32:38.2470556Z 
2022-11-23T01:32:38.2470631Z if __name__ == "__main__":
2022-11-23T01:32:38.2470744Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2470865Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2471098Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2471293Z     arg1_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2471407Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2471412Z 
2022-11-23T01:32:38.2471416Z 
2022-11-23T01:32:38.2471496Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2471565Z import torch
2022-11-23T01:32:38.2471633Z import random
2022-11-23T01:32:38.2471744Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2471863Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2471868Z 
2022-11-23T01:32:38.2471944Z aten = torch.ops.aten
2022-11-23T01:32:38.2472076Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2472165Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2472170Z 
2022-11-23T01:32:38.2472174Z 
2022-11-23T01:32:38.2472324Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2472525Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2472641Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2472784Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2472884Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2472944Z {
2022-11-23T01:32:38.2473040Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2473089Z     {
2022-11-23T01:32:38.2473165Z         #pragma omp for 
2022-11-23T01:32:38.2473246Z         for(long i0=0; i0<315; i0+=1)
2022-11-23T01:32:38.2473309Z         {
2022-11-23T01:32:38.2473439Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2473569Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.2473699Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:38.2473787Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2473855Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2473947Z             tmp4.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2474009Z         }
2022-11-23T01:32:38.2474105Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2474192Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T01:32:38.2474256Z         {
2022-11-23T01:32:38.2474342Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2474411Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:38.2474515Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:38.2474598Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2474681Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2474762Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:38.2474828Z         }
2022-11-23T01:32:38.2474891Z     }
2022-11-23T01:32:38.2474939Z }
2022-11-23T01:32:38.2475019Z ''')
2022-11-23T01:32:38.2475024Z 
2022-11-23T01:32:38.2475030Z 
2022-11-23T01:32:38.2475120Z async_compile.wait(globals())
2022-11-23T01:32:38.2475194Z del async_compile
2022-11-23T01:32:38.2475199Z 
2022-11-23T01:32:38.2475270Z def call(args):
2022-11-23T01:32:38.2475347Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2475419Z     args.clear()
2022-11-23T01:32:38.2475605Z     buf0 = empty_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2475767Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2475837Z     del arg0_1
2022-11-23T01:32:38.2475904Z     del arg1_1
2022-11-23T01:32:38.2475976Z     return (buf0, )
2022-11-23T01:32:38.2475981Z 
2022-11-23T01:32:38.2475985Z 
2022-11-23T01:32:38.2476062Z if __name__ == "__main__":
2022-11-23T01:32:38.2476180Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2476302Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2476525Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2476723Z     arg1_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2476838Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2476843Z 
2022-11-23T01:32:38.2476847Z 
2022-11-23T01:32:38.2476943Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2477013Z import torch
2022-11-23T01:32:38.2477083Z import random
2022-11-23T01:32:38.2477301Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2477408Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2477427Z 
2022-11-23T01:32:38.2477492Z aten = torch.ops.aten
2022-11-23T01:32:38.2477625Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2477716Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2477721Z 
2022-11-23T01:32:38.2477725Z 
2022-11-23T01:32:38.2477857Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2478063Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2478235Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2478340Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2478473Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2478523Z {
2022-11-23T01:32:38.2478622Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2478684Z     {
2022-11-23T01:32:38.2478763Z         #pragma omp for 
2022-11-23T01:32:38.2478846Z         for(long i0=0; i0<315; i0+=1)
2022-11-23T01:32:38.2478910Z         {
2022-11-23T01:32:38.2479044Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2479160Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.2479246Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2479338Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2479402Z         }
2022-11-23T01:32:38.2479499Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2479585Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T01:32:38.2479652Z         {
2022-11-23T01:32:38.2479723Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2479803Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.2479885Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2479964Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.2480024Z         }
2022-11-23T01:32:38.2480082Z     }
2022-11-23T01:32:38.2480129Z }
2022-11-23T01:32:38.2480206Z ''')
2022-11-23T01:32:38.2480211Z 
2022-11-23T01:32:38.2480216Z 
2022-11-23T01:32:38.2480302Z async_compile.wait(globals())
2022-11-23T01:32:38.2480374Z del async_compile
2022-11-23T01:32:38.2480379Z 
2022-11-23T01:32:38.2480448Z def call(args):
2022-11-23T01:32:38.2480522Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2480595Z     args.clear()
2022-11-23T01:32:38.2480808Z     buf0 = empty_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2480959Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2481028Z     del arg0_1
2022-11-23T01:32:38.2481093Z     del arg1_1
2022-11-23T01:32:38.2481163Z     return (buf0, )
2022-11-23T01:32:38.2481168Z 
2022-11-23T01:32:38.2481174Z 
2022-11-23T01:32:38.2481248Z if __name__ == "__main__":
2022-11-23T01:32:38.2481360Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2481480Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2481710Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2481911Z     arg1_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2482025Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2482030Z 
2022-11-23T01:32:38.2482034Z 
2022-11-23T01:32:38.2482126Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2482197Z import torch
2022-11-23T01:32:38.2482266Z import random
2022-11-23T01:32:38.2482379Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2482499Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2482503Z 
2022-11-23T01:32:38.2482583Z aten = torch.ops.aten
2022-11-23T01:32:38.2482703Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2482792Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2482797Z 
2022-11-23T01:32:38.2482801Z 
2022-11-23T01:32:38.2482932Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2483133Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2483251Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2483357Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2483457Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2483554Z {
2022-11-23T01:32:38.2483638Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2483698Z     {
2022-11-23T01:32:38.2483773Z         #pragma omp for 
2022-11-23T01:32:38.2483855Z         for(long i0=0; i0<315; i0+=1)
2022-11-23T01:32:38.2483916Z         {
2022-11-23T01:32:38.2484075Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2484206Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.2484324Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:38.2484408Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2484492Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2484582Z             tmp4.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2484642Z         }
2022-11-23T01:32:38.2484736Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2484821Z         for(long i0=5040; i0<5040; i0+=1)
2022-11-23T01:32:38.2484871Z         {
2022-11-23T01:32:38.2484955Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2485036Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:38.2485134Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:38.2485215Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2485294Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2485374Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:38.2485423Z         }
2022-11-23T01:32:38.2485482Z     }
2022-11-23T01:32:38.2485542Z }
2022-11-23T01:32:38.2485619Z ''')
2022-11-23T01:32:38.2485626Z 
2022-11-23T01:32:38.2485631Z 
2022-11-23T01:32:38.2485718Z async_compile.wait(globals())
2022-11-23T01:32:38.2485789Z del async_compile
2022-11-23T01:32:38.2485794Z 
2022-11-23T01:32:38.2485862Z def call(args):
2022-11-23T01:32:38.2485924Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2485993Z     args.clear()
2022-11-23T01:32:38.2486207Z     buf0 = empty_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2486368Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2486437Z     del arg0_1
2022-11-23T01:32:38.2486503Z     del arg1_1
2022-11-23T01:32:38.2486572Z     return (buf0, )
2022-11-23T01:32:38.2486577Z 
2022-11-23T01:32:38.2486581Z 
2022-11-23T01:32:38.2486656Z if __name__ == "__main__":
2022-11-23T01:32:38.2486755Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2486877Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2487107Z     arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2487319Z     arg1_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2487432Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2487802Z [2022-11-23 01:29:53,888] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4x/c4xjexdoemyuu2tx45svdwcqeflkfnkv35nvu46vd3elh6liabgd.py
2022-11-23T01:32:38.2488070Z [2022-11-23 01:29:53,888] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 433
2022-11-23T01:32:38.2488307Z [2022-11-23 01:29:53,897] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2488564Z [2022-11-23 01:29:53,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2488777Z [2022-11-23 01:29:53,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2489025Z [2022-11-23 01:29:53,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2489308Z [2022-11-23 01:29:53,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2489630Z [2022-11-23 01:29:53,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2489991Z [2022-11-23 01:29:53,898] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:38.2490084Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2490204Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2490297Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2490370Z               6 CALL_METHOD              1
2022-11-23T01:32:38.2490457Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:38.2490529Z              10 BINARY_ADD
2022-11-23T01:32:38.2490618Z              12 BUILD_TUPLE              1
2022-11-23T01:32:38.2490694Z              14 RETURN_VALUE
2022-11-23T01:32:38.2490754Z  
2022-11-23T01:32:38.2490759Z 
2022-11-23T01:32:38.2491028Z [2022-11-23 01:29:53,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940
2022-11-23T01:32:38.2491224Z [2022-11-23 01:29:53,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2491465Z [2022-11-23 01:29:53,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2491746Z [2022-11-23 01:29:53,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2492049Z [2022-11-23 01:29:53,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2492283Z [2022-11-23 01:29:53,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.2492552Z [2022-11-23 01:29:53,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2492795Z [2022-11-23 01:29:53,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2493039Z [2022-11-23 01:29:53,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2493368Z [2022-11-23 01:29:53,902] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:38.2493615Z [2022-11-23 01:29:53,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2493835Z [2022-11-23 01:29:53,902] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2494087Z [2022-11-23 01:29:53,904] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2494333Z [2022-11-23 01:29:53,957] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2494520Z [2022-11-23 01:29:53,958] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2494655Z  __compiled_fn_442 <eval_with_key>.2731 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2494747Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2494834Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.2494932Z call_method, view, view, (ex_0_, [50, 20]), {}
2022-11-23T01:32:38.2495095Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.2495190Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.2495196Z 
2022-11-23T01:32:38.2495469Z [2022-11-23 01:29:53,959] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2495561Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2495652Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2495743Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2495831Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2495906Z               8 RETURN_VALUE
2022-11-23T01:32:38.2495911Z 
2022-11-23T01:32:38.2495960Z  
2022-11-23T01:32:38.2496229Z [2022-11-23 01:29:53,959] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2496370Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_442)
2022-11-23T01:32:38.2496459Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2496600Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2496676Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2496764Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2496837Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2496911Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.2496998Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.2497100Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2497227Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2497323Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2497411Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.2497507Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2497594Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2497681Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2497759Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.2497845Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.2497939Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2498036Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2498123Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2498185Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.2498284Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2498374Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2498469Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2498555Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2498631Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.2498730Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2498792Z              54 RETURN_VALUE
2022-11-23T01:32:38.2498797Z 
2022-11-23T01:32:38.2498856Z  
2022-11-23T01:32:38.2499041Z [2022-11-23 01:29:53,961] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2499110Z  - 
2022-11-23T01:32:38.2499228Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2499293Z             {
2022-11-23T01:32:38.2499433Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2499604Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.2499721Z                 'obj_weakref': None
2022-11-23T01:32:38.2499944Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2500008Z             }
2022-11-23T01:32:38.2500070Z             
2022-11-23T01:32:38.2500142Z  - 
2022-11-23T01:32:38.2500268Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2500318Z             {
2022-11-23T01:32:38.2500458Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2500563Z                 'code': None,
2022-11-23T01:32:38.2500773Z                 'obj_weakref': <weakref at 0x7f710671c170; to 'Tensor' at 0x7f7129e813b0>
2022-11-23T01:32:38.2501020Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2501082Z             }
2022-11-23T01:32:38.2501144Z             
2022-11-23T01:32:38.2501198Z  - 
2022-11-23T01:32:38.2501320Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.2501382Z             {
2022-11-23T01:32:38.2501523Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2501628Z                 'code': None,
2022-11-23T01:32:38.2501832Z                 'obj_weakref': <weakref at 0x7f71062acc50; to 'Tensor' at 0x7f7106a2bc50>
2022-11-23T01:32:38.2502109Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2502171Z             }
2022-11-23T01:32:38.2502221Z             
2022-11-23T01:32:38.2502291Z  - 
2022-11-23T01:32:38.2502420Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2502512Z             {
2022-11-23T01:32:38.2502646Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2502813Z                 'code': ['___check_obj_id(model, 140123394745408)'],
2022-11-23T01:32:38.2502918Z                 'obj_weakref': None
2022-11-23T01:32:38.2503143Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2503206Z             }
2022-11-23T01:32:38.2503267Z             
2022-11-23T01:32:38.2503335Z  - 
2022-11-23T01:32:38.2503455Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2503517Z             {
2022-11-23T01:32:38.2503638Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2503852Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2503967Z                 'obj_weakref': None
2022-11-23T01:32:38.2504185Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2504250Z             }
2022-11-23T01:32:38.2504312Z             
2022-11-23T01:32:38.2504380Z  - 
2022-11-23T01:32:38.2504632Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2504696Z             {
2022-11-23T01:32:38.2504867Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2505412Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents == [50, 20]'],
2022-11-23T01:32:38.2505533Z                 'obj_weakref': None
2022-11-23T01:32:38.2505751Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2505815Z             }
2022-11-23T01:32:38.2505882Z             
2022-11-23T01:32:38.2505937Z  - 
2022-11-23T01:32:38.2506123Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2506187Z             {
2022-11-23T01:32:38.2506328Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2506612Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 50'],
2022-11-23T01:32:38.2506730Z                 'obj_weakref': None
2022-11-23T01:32:38.2506947Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2507010Z             }
2022-11-23T01:32:38.2507060Z             
2022-11-23T01:32:38.2507129Z  - 
2022-11-23T01:32:38.2507313Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2507376Z             {
2022-11-23T01:32:38.2507516Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2507799Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 20'],
2022-11-23T01:32:38.2507917Z                 'obj_weakref': None
2022-11-23T01:32:38.2508121Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2508184Z             }
2022-11-23T01:32:38.2508249Z             
2022-11-23T01:32:38.2508507Z [2022-11-23 01:29:53,969] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 434
2022-11-23T01:32:38.2508881Z [2022-11-23 01:29:53,999] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ls/cls4ojutxcjk4f7j7ncaiun5mlkecjp34gwnamjrmblpyi7a5n7k.py
2022-11-23T01:32:38.2509178Z [2022-11-23 01:29:53,999] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 434
2022-11-23T01:32:38.2509412Z [2022-11-23 01:29:54,005] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2509710Z [2022-11-23 01:29:54,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2509915Z [2022-11-23 01:29:54,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2510166Z [2022-11-23 01:29:54,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2510451Z [2022-11-23 01:29:54,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2510771Z [2022-11-23 01:29:54,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2511098Z [2022-11-23 01:29:54,006] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:38.2511192Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2511285Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:38.2511358Z               4 BINARY_ADD
2022-11-23T01:32:38.2511454Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2511534Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2511618Z              10 CALL_METHOD              1
2022-11-23T01:32:38.2511707Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:38.2511780Z              14 BINARY_ADD
2022-11-23T01:32:38.2511869Z              16 BUILD_TUPLE              1
2022-11-23T01:32:38.2511948Z              18 RETURN_VALUE
2022-11-23T01:32:38.2512011Z  
2022-11-23T01:32:38.2512016Z 
2022-11-23T01:32:38.2512270Z [2022-11-23 01:29:54,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943
2022-11-23T01:32:38.2512483Z [2022-11-23 01:29:54,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2512726Z [2022-11-23 01:29:54,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:38.2513010Z [2022-11-23 01:29:54,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.2513250Z [2022-11-23 01:29:54,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2513531Z [2022-11-23 01:29:54,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2513833Z [2022-11-23 01:29:54,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2514069Z [2022-11-23 01:29:54,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.2514343Z [2022-11-23 01:29:54,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2514586Z [2022-11-23 01:29:54,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2514818Z [2022-11-23 01:29:54,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2515149Z [2022-11-23 01:29:54,012] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:38.2515394Z [2022-11-23 01:29:54,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2515628Z [2022-11-23 01:29:54,012] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2515882Z [2022-11-23 01:29:54,014] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2516161Z [2022-11-23 01:29:54,020] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2516348Z [2022-11-23 01:29:54,020] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2516530Z  __compiled_fn_443 <eval_with_key>.2737 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2516622Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2516695Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.2516870Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:38.2516970Z call_method, view, view, (add, [50, 20]), {}
2022-11-23T01:32:38.2517251Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.2517349Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:38.2517355Z 
2022-11-23T01:32:38.2517633Z [2022-11-23 01:29:54,021] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2517735Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2517813Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2517907Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2518001Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2518081Z               8 RETURN_VALUE
2022-11-23T01:32:38.2518086Z 
2022-11-23T01:32:38.2518149Z  
2022-11-23T01:32:38.2518422Z [2022-11-23 01:29:54,021] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2518531Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_443)
2022-11-23T01:32:38.2518622Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2518698Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2518775Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2518865Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2518953Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2519031Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.2519119Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.2519224Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2519340Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2519436Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2519526Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.2519622Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2519725Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2519815Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2519892Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.2519967Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.2520061Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2520161Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2520251Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2520328Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.2520428Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2520520Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2520616Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2520690Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2520766Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.2520864Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2520942Z              54 RETURN_VALUE
2022-11-23T01:32:38.2520947Z 
2022-11-23T01:32:38.2521007Z  
2022-11-23T01:32:38.2521190Z [2022-11-23 01:29:54,023] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2521258Z  - 
2022-11-23T01:32:38.2521362Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2521425Z             {
2022-11-23T01:32:38.2521620Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2521810Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.2521932Z                 'obj_weakref': None
2022-11-23T01:32:38.2522192Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2522258Z             }
2022-11-23T01:32:38.2522309Z             
2022-11-23T01:32:38.2522378Z  - 
2022-11-23T01:32:38.2522501Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2522565Z             {
2022-11-23T01:32:38.2522707Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2522812Z                 'code': None,
2022-11-23T01:32:38.2523019Z                 'obj_weakref': <weakref at 0x7f7106787d70; to 'Tensor' at 0x7f7129e813b0>
2022-11-23T01:32:38.2523254Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2523322Z             }
2022-11-23T01:32:38.2523387Z             
2022-11-23T01:32:38.2523455Z  - 
2022-11-23T01:32:38.2523576Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.2523638Z             {
2022-11-23T01:32:38.2523778Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2523872Z                 'code': None,
2022-11-23T01:32:38.2524072Z                 'obj_weakref': <weakref at 0x7f7106787650; to 'Tensor' at 0x7f7106390ef0>
2022-11-23T01:32:38.2524314Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2524376Z             }
2022-11-23T01:32:38.2524438Z             
2022-11-23T01:32:38.2524506Z  - 
2022-11-23T01:32:38.2524634Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2524684Z             {
2022-11-23T01:32:38.2524816Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2524984Z                 'code': ['___check_obj_id(model, 140123394746992)'],
2022-11-23T01:32:38.2525104Z                 'obj_weakref': None
2022-11-23T01:32:38.2525329Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2525392Z             }
2022-11-23T01:32:38.2525455Z             
2022-11-23T01:32:38.2525509Z  - 
2022-11-23T01:32:38.2525635Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2525700Z             {
2022-11-23T01:32:38.2525833Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2526048Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2526165Z                 'obj_weakref': None
2022-11-23T01:32:38.2526383Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2526434Z             }
2022-11-23T01:32:38.2526496Z             
2022-11-23T01:32:38.2526563Z  - 
2022-11-23T01:32:38.2526742Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2526807Z             {
2022-11-23T01:32:38.2526974Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2527519Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents == [50, 20]'],
2022-11-23T01:32:38.2527639Z                 'obj_weakref': None
2022-11-23T01:32:38.2527843Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2527905Z             }
2022-11-23T01:32:38.2527967Z             
2022-11-23T01:32:38.2528033Z  - 
2022-11-23T01:32:38.2528216Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2528278Z             {
2022-11-23T01:32:38.2528418Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2528718Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 50'],
2022-11-23T01:32:38.2528840Z                 'obj_weakref': None
2022-11-23T01:32:38.2529091Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2529155Z             }
2022-11-23T01:32:38.2529219Z             
2022-11-23T01:32:38.2529287Z  - 
2022-11-23T01:32:38.2529471Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2529521Z             {
2022-11-23T01:32:38.2529666Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2529945Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 20'],
2022-11-23T01:32:38.2530064Z                 'obj_weakref': None
2022-11-23T01:32:38.2530282Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2530348Z             }
2022-11-23T01:32:38.2530411Z             
2022-11-23T01:32:38.2530668Z [2022-11-23 01:29:54,033] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 435
2022-11-23T01:32:38.2531025Z [2022-11-23 01:29:54,061] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bn/cbnkhpqnfau6i5gfc5wmuyyi64w6pfwpjg4b62b567sgn662i4b4.py
2022-11-23T01:32:38.2531289Z [2022-11-23 01:29:54,061] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 435
2022-11-23T01:32:38.2531526Z [2022-11-23 01:29:54,067] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2531791Z [2022-11-23 01:29:54,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2532007Z [2022-11-23 01:29:54,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2532260Z [2022-11-23 01:29:54,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2532543Z [2022-11-23 01:29:54,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2532866Z [2022-11-23 01:29:54,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2533191Z [2022-11-23 01:29:54,068] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:38.2533272Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2533366Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2533462Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2533548Z               6 CALL_METHOD              1
2022-11-23T01:32:38.2533636Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:38.2533715Z              10 BINARY_ADD
2022-11-23T01:32:38.2533804Z              12 BUILD_TUPLE              1
2022-11-23T01:32:38.2533879Z              14 RETURN_VALUE
2022-11-23T01:32:38.2533928Z  
2022-11-23T01:32:38.2533933Z 
2022-11-23T01:32:38.2534199Z [2022-11-23 01:29:54,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940
2022-11-23T01:32:38.2534406Z [2022-11-23 01:29:54,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2534646Z [2022-11-23 01:29:54,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2534925Z [2022-11-23 01:29:54,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2535226Z [2022-11-23 01:29:54,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2535491Z [2022-11-23 01:29:54,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.2535761Z [2022-11-23 01:29:54,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2536028Z [2022-11-23 01:29:54,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2536262Z [2022-11-23 01:29:54,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2536590Z [2022-11-23 01:29:54,073] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:38.2536833Z [2022-11-23 01:29:54,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2537064Z [2022-11-23 01:29:54,073] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2537319Z [2022-11-23 01:29:54,075] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2537566Z [2022-11-23 01:29:54,080] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2537754Z [2022-11-23 01:29:54,080] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2537887Z  __compiled_fn_444 <eval_with_key>.2743 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2537976Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2538048Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.2538148Z call_method, view, view, (ex_0_, [1, 10, 1]), {}
2022-11-23T01:32:38.2538324Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.2538419Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.2538424Z 
2022-11-23T01:32:38.2538701Z [2022-11-23 01:29:54,080] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2538797Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2538888Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2538969Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2539058Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2539135Z               8 RETURN_VALUE
2022-11-23T01:32:38.2539140Z 
2022-11-23T01:32:38.2539200Z  
2022-11-23T01:32:38.2539472Z [2022-11-23 01:29:54,081] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2539578Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_444)
2022-11-23T01:32:38.2539667Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2539755Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2539819Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2539906Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2539993Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2540070Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.2540158Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.2540261Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2540390Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2540473Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2540560Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.2540653Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2540753Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2540844Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2540919Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.2541006Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.2541086Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2541184Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2541318Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2541393Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.2541494Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2541583Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2541707Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2541793Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2541856Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.2541956Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2542030Z              54 RETURN_VALUE
2022-11-23T01:32:38.2542035Z 
2022-11-23T01:32:38.2542094Z  
2022-11-23T01:32:38.2542279Z [2022-11-23 01:29:54,083] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2542347Z  - 
2022-11-23T01:32:38.2542465Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2542516Z             {
2022-11-23T01:32:38.2542655Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2542841Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.2542958Z                 'obj_weakref': None
2022-11-23T01:32:38.2543183Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2543247Z             }
2022-11-23T01:32:38.2543310Z             
2022-11-23T01:32:38.2543366Z  - 
2022-11-23T01:32:38.2543489Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2543552Z             {
2022-11-23T01:32:38.2543694Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2543799Z                 'code': None,
2022-11-23T01:32:38.2544008Z                 'obj_weakref': <weakref at 0x7f71cdff6fb0; to 'Tensor' at 0x7f7129e813b0>
2022-11-23T01:32:38.2544255Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2544306Z             }
2022-11-23T01:32:38.2544369Z             
2022-11-23T01:32:38.2544509Z  - 
2022-11-23T01:32:38.2544638Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.2544701Z             {
2022-11-23T01:32:38.2544844Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2544951Z                 'code': None,
2022-11-23T01:32:38.2545146Z                 'obj_weakref': <weakref at 0x7f7106787710; to 'Tensor' at 0x7f7106390ef0>
2022-11-23T01:32:38.2545392Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2545456Z             }
2022-11-23T01:32:38.2545520Z             
2022-11-23T01:32:38.2545590Z  - 
2022-11-23T01:32:38.2545719Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2545783Z             {
2022-11-23T01:32:38.2545904Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2546071Z                 'code': ['___check_obj_id(model, 140123394745408)'],
2022-11-23T01:32:38.2546188Z                 'obj_weakref': None
2022-11-23T01:32:38.2546421Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2546484Z             }
2022-11-23T01:32:38.2546546Z             
2022-11-23T01:32:38.2546614Z  - 
2022-11-23T01:32:38.2546722Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2546786Z             {
2022-11-23T01:32:38.2546920Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2547136Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2547253Z                 'obj_weakref': None
2022-11-23T01:32:38.2547467Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2547528Z             }
2022-11-23T01:32:38.2547577Z             
2022-11-23T01:32:38.2547647Z  - 
2022-11-23T01:32:38.2547823Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2547886Z             {
2022-11-23T01:32:38.2548089Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2548758Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', 'model.__closure__[0].cell_contents == [1, 10, 1]'],
2022-11-23T01:32:38.2548878Z                 'obj_weakref': None
2022-11-23T01:32:38.2549094Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2549145Z             }
2022-11-23T01:32:38.2549209Z             
2022-11-23T01:32:38.2549280Z  - 
2022-11-23T01:32:38.2549464Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2549526Z             {
2022-11-23T01:32:38.2549669Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2549953Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 1'],
2022-11-23T01:32:38.2550057Z                 'obj_weakref': None
2022-11-23T01:32:38.2550272Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2550334Z             }
2022-11-23T01:32:38.2550397Z             
2022-11-23T01:32:38.2550465Z  - 
2022-11-23T01:32:38.2550646Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2550710Z             {
2022-11-23T01:32:38.2550838Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2551118Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 10'],
2022-11-23T01:32:38.2551235Z                 'obj_weakref': None
2022-11-23T01:32:38.2551451Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2551518Z             }
2022-11-23T01:32:38.2551582Z             
2022-11-23T01:32:38.2551649Z  - 
2022-11-23T01:32:38.2551831Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:38.2551884Z             {
2022-11-23T01:32:38.2552024Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2552303Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', 'model.__closure__[0].cell_contents[2] == 1'],
2022-11-23T01:32:38.2552419Z                 'obj_weakref': None
2022-11-23T01:32:38.2552634Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2552697Z             }
2022-11-23T01:32:38.2552762Z             
2022-11-23T01:32:38.2553009Z [2022-11-23 01:29:54,092] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 436
2022-11-23T01:32:38.2553382Z [2022-11-23 01:29:54,102] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/y4/cy4xpy6yq3swsublbga3hz2dna2hv36dm4scugnvpp3o5wrg4yaa.py
2022-11-23T01:32:38.2553651Z [2022-11-23 01:29:54,102] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 436
2022-11-23T01:32:38.2553890Z [2022-11-23 01:29:54,108] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2554160Z [2022-11-23 01:29:54,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2554379Z [2022-11-23 01:29:54,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2554635Z [2022-11-23 01:29:54,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2554921Z [2022-11-23 01:29:54,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2555277Z [2022-11-23 01:29:54,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2555672Z [2022-11-23 01:29:54,109] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:38.2555752Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2555843Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:38.2555918Z               4 BINARY_ADD
2022-11-23T01:32:38.2556014Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2556111Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2556200Z              10 CALL_METHOD              1
2022-11-23T01:32:38.2556290Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:38.2556349Z              14 BINARY_ADD
2022-11-23T01:32:38.2556438Z              16 BUILD_TUPLE              1
2022-11-23T01:32:38.2556518Z              18 RETURN_VALUE
2022-11-23T01:32:38.2556580Z  
2022-11-23T01:32:38.2556585Z 
2022-11-23T01:32:38.2556854Z [2022-11-23 01:29:54,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943
2022-11-23T01:32:38.2557065Z [2022-11-23 01:29:54,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2557408Z [2022-11-23 01:29:54,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:38.2557690Z [2022-11-23 01:29:54,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.2557919Z [2022-11-23 01:29:54,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2558200Z [2022-11-23 01:29:54,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2558504Z [2022-11-23 01:29:54,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2558744Z [2022-11-23 01:29:54,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.2559019Z [2022-11-23 01:29:54,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2559259Z [2022-11-23 01:29:54,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2559505Z [2022-11-23 01:29:54,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2559839Z [2022-11-23 01:29:54,115] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:38.2560085Z [2022-11-23 01:29:54,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2560345Z [2022-11-23 01:29:54,115] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2560585Z [2022-11-23 01:29:54,117] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2560839Z [2022-11-23 01:29:54,124] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2561029Z [2022-11-23 01:29:54,124] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2561164Z  __compiled_fn_445 <eval_with_key>.2749 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2561257Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2561346Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.2561519Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:38.2561620Z call_method, view, view, (add, [1, 10, 1]), {}
2022-11-23T01:32:38.2561787Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.2561937Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:38.2561942Z 
2022-11-23T01:32:38.2562218Z [2022-11-23 01:29:54,124] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2562315Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2562456Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2562552Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2562644Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2562725Z               8 RETURN_VALUE
2022-11-23T01:32:38.2562730Z 
2022-11-23T01:32:38.2562778Z  
2022-11-23T01:32:38.2563057Z [2022-11-23 01:29:54,125] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2563166Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_445)
2022-11-23T01:32:38.2563257Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2563347Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2563429Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2563516Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2563591Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2563664Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.2563756Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.2563860Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2563987Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2564081Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2564169Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.2564252Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2564351Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2564440Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2564515Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.2564605Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.2564697Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2564796Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2564884Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2564947Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.2565049Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2565139Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2565234Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2565320Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2565394Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.2565492Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2565554Z              54 RETURN_VALUE
2022-11-23T01:32:38.2565559Z 
2022-11-23T01:32:38.2565618Z  
2022-11-23T01:32:38.2565805Z [2022-11-23 01:29:54,127] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2565873Z  - 
2022-11-23T01:32:38.2565991Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2566054Z             {
2022-11-23T01:32:38.2566194Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2566371Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.2566487Z                 'obj_weakref': None
2022-11-23T01:32:38.2566710Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2566775Z             }
2022-11-23T01:32:38.2566840Z             
2022-11-23T01:32:38.2566907Z  - 
2022-11-23T01:32:38.2567030Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2567081Z             {
2022-11-23T01:32:38.2567220Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2567325Z                 'code': None,
2022-11-23T01:32:38.2567533Z                 'obj_weakref': <weakref at 0x7f71060ebc50; to 'Tensor' at 0x7f7129e813b0>
2022-11-23T01:32:38.2567815Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2567881Z             }
2022-11-23T01:32:38.2567948Z             
2022-11-23T01:32:38.2568003Z  - 
2022-11-23T01:32:38.2568151Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.2568215Z             {
2022-11-23T01:32:38.2568356Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2568461Z                 'code': None,
2022-11-23T01:32:38.2568666Z                 'obj_weakref': <weakref at 0x7f71060ebe30; to 'Tensor' at 0x7f7106db2290>
2022-11-23T01:32:38.2568910Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2568961Z             }
2022-11-23T01:32:38.2569024Z             
2022-11-23T01:32:38.2569093Z  - 
2022-11-23T01:32:38.2569224Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2569289Z             {
2022-11-23T01:32:38.2569422Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2569589Z                 'code': ['___check_obj_id(model, 140123394746992)'],
2022-11-23T01:32:38.2569694Z                 'obj_weakref': None
2022-11-23T01:32:38.2569923Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2569986Z             }
2022-11-23T01:32:38.2570049Z             
2022-11-23T01:32:38.2570117Z  - 
2022-11-23T01:32:38.2570239Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2570301Z             {
2022-11-23T01:32:38.2570422Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2570638Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2570754Z                 'obj_weakref': None
2022-11-23T01:32:38.2570971Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2571035Z             }
2022-11-23T01:32:38.2571096Z             
2022-11-23T01:32:38.2571163Z  - 
2022-11-23T01:32:38.2571327Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2571388Z             {
2022-11-23T01:32:38.2571557Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2572197Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', 'model.__closure__[0].cell_contents == [1, 10, 1]'],
2022-11-23T01:32:38.2572314Z                 'obj_weakref': None
2022-11-23T01:32:38.2572531Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2572594Z             }
2022-11-23T01:32:38.2572658Z             
2022-11-23T01:32:38.2572713Z  - 
2022-11-23T01:32:38.2572896Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2572959Z             {
2022-11-23T01:32:38.2573098Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2573382Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 1'],
2022-11-23T01:32:38.2573500Z                 'obj_weakref': None
2022-11-23T01:32:38.2573717Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2573780Z             }
2022-11-23T01:32:38.2573829Z             
2022-11-23T01:32:38.2573896Z  - 
2022-11-23T01:32:38.2574080Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2574143Z             {
2022-11-23T01:32:38.2574284Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2574595Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 10'],
2022-11-23T01:32:38.2574710Z                 'obj_weakref': None
2022-11-23T01:32:38.2574939Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2575004Z             }
2022-11-23T01:32:38.2575065Z             
2022-11-23T01:32:38.2575134Z  - 
2022-11-23T01:32:38.2575316Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:38.2575382Z             {
2022-11-23T01:32:38.2575522Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2575792Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', 'model.__closure__[0].cell_contents[2] == 1'],
2022-11-23T01:32:38.2575907Z                 'obj_weakref': None
2022-11-23T01:32:38.2576124Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2576189Z             }
2022-11-23T01:32:38.2576252Z             
2022-11-23T01:32:38.2576513Z [2022-11-23 01:29:54,137] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 437
2022-11-23T01:32:38.2576887Z [2022-11-23 01:29:54,148] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qz/cqzlduffztlxz4p7zs36qoddcn2ttsw2of5g6okjmmrebxcdxtqx.py
2022-11-23T01:32:38.2577151Z [2022-11-23 01:29:54,148] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 437
2022-11-23T01:32:38.2577376Z [2022-11-23 01:29:54,154] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2577642Z [2022-11-23 01:29:54,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2577857Z [2022-11-23 01:29:54,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2578113Z [2022-11-23 01:29:54,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2578396Z [2022-11-23 01:29:54,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2578720Z [2022-11-23 01:29:54,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2579043Z [2022-11-23 01:29:54,155] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:38.2579138Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2579233Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2579315Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2579401Z               6 CALL_METHOD              1
2022-11-23T01:32:38.2579490Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:38.2579619Z              10 BINARY_ADD
2022-11-23T01:32:38.2579706Z              12 BUILD_TUPLE              1
2022-11-23T01:32:38.2579783Z              14 RETURN_VALUE
2022-11-23T01:32:38.2579844Z  
2022-11-23T01:32:38.2579852Z 
2022-11-23T01:32:38.2580119Z [2022-11-23 01:29:54,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940
2022-11-23T01:32:38.2580314Z [2022-11-23 01:29:54,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2580552Z [2022-11-23 01:29:54,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2580832Z [2022-11-23 01:29:54,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2581134Z [2022-11-23 01:29:54,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2581367Z [2022-11-23 01:29:54,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.2581673Z [2022-11-23 01:29:54,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2581939Z [2022-11-23 01:29:54,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2582183Z [2022-11-23 01:29:54,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2582509Z [2022-11-23 01:29:54,160] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:38.2582740Z [2022-11-23 01:29:54,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2582973Z [2022-11-23 01:29:54,160] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2583223Z [2022-11-23 01:29:54,162] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2583473Z [2022-11-23 01:29:54,167] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2583663Z [2022-11-23 01:29:54,167] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2583797Z  __compiled_fn_446 <eval_with_key>.2755 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2583887Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2583973Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.2584068Z call_method, view, view, (ex_0_, [10, 1, 10, 1, 10]), {}
2022-11-23T01:32:38.2584244Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.2584337Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.2584342Z 
2022-11-23T01:32:38.2584719Z [2022-11-23 01:29:54,168] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2584817Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2584908Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2585000Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2585090Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2585155Z               8 RETURN_VALUE
2022-11-23T01:32:38.2585160Z 
2022-11-23T01:32:38.2585222Z  
2022-11-23T01:32:38.2585497Z [2022-11-23 01:29:54,168] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2585606Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_446)
2022-11-23T01:32:38.2585694Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2585784Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2585861Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2585949Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2586024Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2586100Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.2586188Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.2586291Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2586418Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2586517Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2586608Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.2586689Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2586788Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2586875Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2586950Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.2587036Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.2587128Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2587224Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2587342Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2587417Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.2587518Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2587608Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2587734Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2587821Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2587896Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.2587982Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2588055Z              54 RETURN_VALUE
2022-11-23T01:32:38.2588060Z 
2022-11-23T01:32:38.2588119Z  
2022-11-23T01:32:38.2588302Z [2022-11-23 01:29:54,171] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2588370Z  - 
2022-11-23T01:32:38.2588487Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2588551Z             {
2022-11-23T01:32:38.2588679Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2588865Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.2588982Z                 'obj_weakref': None
2022-11-23T01:32:38.2589207Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2589278Z             }
2022-11-23T01:32:38.2589342Z             
2022-11-23T01:32:38.2589412Z  - 
2022-11-23T01:32:38.2589535Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2589585Z             {
2022-11-23T01:32:38.2589727Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2589832Z                 'code': None,
2022-11-23T01:32:38.2590039Z                 'obj_weakref': <weakref at 0x7f70f276cf50; to 'Tensor' at 0x7f7129e813b0>
2022-11-23T01:32:38.2590287Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2590349Z             }
2022-11-23T01:32:38.2590414Z             
2022-11-23T01:32:38.2590470Z  - 
2022-11-23T01:32:38.2590590Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.2590653Z             {
2022-11-23T01:32:38.2590793Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2590900Z                 'code': None,
2022-11-23T01:32:38.2591108Z                 'obj_weakref': <weakref at 0x7f7106d8d950; to 'Tensor' at 0x7f7106775bf0>
2022-11-23T01:32:38.2591355Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2591405Z             }
2022-11-23T01:32:38.2591467Z             
2022-11-23T01:32:38.2591537Z  - 
2022-11-23T01:32:38.2591665Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2591727Z             {
2022-11-23T01:32:38.2591861Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2592027Z                 'code': ['___check_obj_id(model, 140123394745408)'],
2022-11-23T01:32:38.2592133Z                 'obj_weakref': None
2022-11-23T01:32:38.2592361Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2592422Z             }
2022-11-23T01:32:38.2592485Z             
2022-11-23T01:32:38.2592554Z  - 
2022-11-23T01:32:38.2592675Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2592727Z             {
2022-11-23T01:32:38.2592862Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2593072Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2593188Z                 'obj_weakref': None
2022-11-23T01:32:38.2593405Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2593466Z             }
2022-11-23T01:32:38.2593528Z             
2022-11-23T01:32:38.2593595Z  - 
2022-11-23T01:32:38.2593759Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2593820Z             {
2022-11-23T01:32:38.2594018Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2594888Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 5', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[3], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[4], 94279403915040)', 'model.__closure__[0].cell_contents == [10, 1, 10, 1, 10]'],
2022-11-23T01:32:38.2595008Z                 'obj_weakref': None
2022-11-23T01:32:38.2595225Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2595293Z             }
2022-11-23T01:32:38.2595358Z             
2022-11-23T01:32:38.2595413Z  - 
2022-11-23T01:32:38.2595598Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2595663Z             {
2022-11-23T01:32:38.2595808Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2596093Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:38.2596212Z                 'obj_weakref': None
2022-11-23T01:32:38.2596430Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2596494Z             }
2022-11-23T01:32:38.2596544Z             
2022-11-23T01:32:38.2596613Z  - 
2022-11-23T01:32:38.2596799Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2596867Z             {
2022-11-23T01:32:38.2597009Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2597391Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 1'],
2022-11-23T01:32:38.2597514Z                 'obj_weakref': None
2022-11-23T01:32:38.2597721Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2597784Z             }
2022-11-23T01:32:38.2597853Z             
2022-11-23T01:32:38.2597922Z  - 
2022-11-23T01:32:38.2598106Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:38.2598170Z             {
2022-11-23T01:32:38.2598313Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2598582Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', 'model.__closure__[0].cell_contents[2] == 10'],
2022-11-23T01:32:38.2598701Z                 'obj_weakref': None
2022-11-23T01:32:38.2598916Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2598981Z             }
2022-11-23T01:32:38.2599047Z             
2022-11-23T01:32:38.2599117Z  - 
2022-11-23T01:32:38.2599300Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:38.2599349Z             {
2022-11-23T01:32:38.2599491Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2599775Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94279403915040)', 'model.__closure__[0].cell_contents[3] == 1'],
2022-11-23T01:32:38.2599893Z                 'obj_weakref': None
2022-11-23T01:32:38.2600111Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2600175Z             }
2022-11-23T01:32:38.2600241Z             
2022-11-23T01:32:38.2600311Z  - 
2022-11-23T01:32:38.2600481Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:32:38.2600546Z             {
2022-11-23T01:32:38.2600688Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2600973Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94279403915040)', 'model.__closure__[0].cell_contents[4] == 10'],
2022-11-23T01:32:38.2601144Z                 'obj_weakref': None
2022-11-23T01:32:38.2601363Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2601472Z             }
2022-11-23T01:32:38.2601523Z             
2022-11-23T01:32:38.2601787Z [2022-11-23 01:29:54,181] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 438
2022-11-23T01:32:38.2601795Z 
2022-11-23T01:32:38.2601800Z 
2022-11-23T01:32:38.2601894Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2601964Z import torch
2022-11-23T01:32:38.2602034Z import random
2022-11-23T01:32:38.2602151Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2602274Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2602279Z 
2022-11-23T01:32:38.2602356Z aten = torch.ops.aten
2022-11-23T01:32:38.2602478Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2602570Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2602576Z 
2022-11-23T01:32:38.2602580Z 
2022-11-23T01:32:38.2602713Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2602920Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2603040Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2603143Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2603243Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2603304Z {
2022-11-23T01:32:38.2603389Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2603451Z     {
2022-11-23T01:32:38.2603527Z         #pragma omp for 
2022-11-23T01:32:38.2603611Z         for(long i0=0; i0<62; i0+=1)
2022-11-23T01:32:38.2603674Z         {
2022-11-23T01:32:38.2603827Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2603961Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.2604033Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2604124Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2604187Z         }
2022-11-23T01:32:38.2604284Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2604367Z         for(long i0=992; i0<1000; i0+=1)
2022-11-23T01:32:38.2604428Z         {
2022-11-23T01:32:38.2604511Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2604579Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.2604659Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2604738Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.2604799Z         }
2022-11-23T01:32:38.2604860Z     }
2022-11-23T01:32:38.2604918Z }
2022-11-23T01:32:38.2604984Z ''')
2022-11-23T01:32:38.2605003Z 
2022-11-23T01:32:38.2605007Z 
2022-11-23T01:32:38.2605084Z async_compile.wait(globals())
2022-11-23T01:32:38.2605158Z del async_compile
2022-11-23T01:32:38.2605163Z 
2022-11-23T01:32:38.2605232Z def call(args):
2022-11-23T01:32:38.2605306Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2605377Z     args.clear()
2022-11-23T01:32:38.2605577Z     buf0 = empty_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2605740Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2605796Z     del arg0_1
2022-11-23T01:32:38.2605861Z     del arg1_1
2022-11-23T01:32:38.2605931Z     return (buf0, )
2022-11-23T01:32:38.2605936Z 
2022-11-23T01:32:38.2605940Z 
2022-11-23T01:32:38.2606016Z if __name__ == "__main__":
2022-11-23T01:32:38.2606129Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2606250Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2606456Z     arg0_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2606651Z     arg1_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2606787Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2606791Z 
2022-11-23T01:32:38.2606807Z 
2022-11-23T01:32:38.2606887Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2606954Z import torch
2022-11-23T01:32:38.2607062Z import random
2022-11-23T01:32:38.2607176Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2607295Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2607300Z 
2022-11-23T01:32:38.2607376Z aten = torch.ops.aten
2022-11-23T01:32:38.2607509Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2607586Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2607591Z 
2022-11-23T01:32:38.2607595Z 
2022-11-23T01:32:38.2607725Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2607930Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2608046Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2608150Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2608246Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2608307Z {
2022-11-23T01:32:38.2608403Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2608453Z     {
2022-11-23T01:32:38.2608529Z         #pragma omp for 
2022-11-23T01:32:38.2608611Z         for(long i0=0; i0<62; i0+=1)
2022-11-23T01:32:38.2608673Z         {
2022-11-23T01:32:38.2608805Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2608936Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.2609066Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:38.2609138Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2609219Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2609311Z             tmp4.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2609376Z         }
2022-11-23T01:32:38.2609471Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2609554Z         for(long i0=992; i0<1000; i0+=1)
2022-11-23T01:32:38.2609614Z         {
2022-11-23T01:32:38.2609685Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2609767Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:38.2609865Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:38.2609945Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2610026Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2610104Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:38.2610165Z         }
2022-11-23T01:32:38.2610214Z     }
2022-11-23T01:32:38.2610272Z }
2022-11-23T01:32:38.2610349Z ''')
2022-11-23T01:32:38.2610354Z 
2022-11-23T01:32:38.2610359Z 
2022-11-23T01:32:38.2610446Z async_compile.wait(globals())
2022-11-23T01:32:38.2610518Z del async_compile
2022-11-23T01:32:38.2610523Z 
2022-11-23T01:32:38.2610593Z def call(args):
2022-11-23T01:32:38.2610671Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2610730Z     args.clear()
2022-11-23T01:32:38.2610926Z     buf0 = empty_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2611088Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2611158Z     del arg0_1
2022-11-23T01:32:38.2611224Z     del arg1_1
2022-11-23T01:32:38.2611294Z     return (buf0, )
2022-11-23T01:32:38.2611299Z 
2022-11-23T01:32:38.2611302Z 
2022-11-23T01:32:38.2611378Z if __name__ == "__main__":
2022-11-23T01:32:38.2611490Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2611599Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2611805Z     arg0_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2612001Z     arg1_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2612115Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2612149Z 
2022-11-23T01:32:38.2612153Z 
2022-11-23T01:32:38.2612245Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2612313Z import torch
2022-11-23T01:32:38.2612383Z import random
2022-11-23T01:32:38.2612485Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2612632Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2612637Z 
2022-11-23T01:32:38.2612715Z aten = torch.ops.aten
2022-11-23T01:32:38.2612849Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2612939Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2612944Z 
2022-11-23T01:32:38.2612949Z 
2022-11-23T01:32:38.2613088Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2613291Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2613410Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2613511Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2613603Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2613662Z {
2022-11-23T01:32:38.2613757Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2613818Z     {
2022-11-23T01:32:38.2613898Z         #pragma omp for 
2022-11-23T01:32:38.2613981Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.2614033Z         {
2022-11-23T01:32:38.2614095Z             {
2022-11-23T01:32:38.2614157Z                 {
2022-11-23T01:32:38.2614251Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2614340Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.2614427Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2614510Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.2614562Z                 }
2022-11-23T01:32:38.2614624Z             }
2022-11-23T01:32:38.2614685Z         }
2022-11-23T01:32:38.2614745Z     }
2022-11-23T01:32:38.2614803Z }
2022-11-23T01:32:38.2614880Z ''')
2022-11-23T01:32:38.2614887Z 
2022-11-23T01:32:38.2614891Z 
2022-11-23T01:32:38.2614980Z async_compile.wait(globals())
2022-11-23T01:32:38.2615039Z del async_compile
2022-11-23T01:32:38.2615044Z 
2022-11-23T01:32:38.2615113Z def call(args):
2022-11-23T01:32:38.2615186Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2615260Z     args.clear()
2022-11-23T01:32:38.2615464Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2615623Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2615692Z     del arg0_1
2022-11-23T01:32:38.2615746Z     del arg1_1
2022-11-23T01:32:38.2615814Z     return (buf0, )
2022-11-23T01:32:38.2615819Z 
2022-11-23T01:32:38.2615823Z 
2022-11-23T01:32:38.2615897Z if __name__ == "__main__":
2022-11-23T01:32:38.2616010Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2616130Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2616326Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2616527Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2616639Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2616645Z 
2022-11-23T01:32:38.2616651Z 
2022-11-23T01:32:38.2616745Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2616802Z import torch
2022-11-23T01:32:38.2616870Z import random
2022-11-23T01:32:38.2616983Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2617100Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2617106Z 
2022-11-23T01:32:38.2617183Z aten = torch.ops.aten
2022-11-23T01:32:38.2617313Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2617404Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2617409Z 
2022-11-23T01:32:38.2617413Z 
2022-11-23T01:32:38.2617547Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2617769Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2617886Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2617987Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2618119Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2618180Z {
2022-11-23T01:32:38.2618276Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2618338Z     {
2022-11-23T01:32:38.2618401Z         #pragma omp for 
2022-11-23T01:32:38.2618482Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.2618545Z         {
2022-11-23T01:32:38.2618608Z             {
2022-11-23T01:32:38.2618673Z                 {
2022-11-23T01:32:38.2618764Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2618842Z                     auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:38.2618945Z                     auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:38.2619033Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2619124Z                     auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2619209Z                     out_ptr0[i0] = tmp4;
2022-11-23T01:32:38.2619272Z                 }
2022-11-23T01:32:38.2619335Z             }
2022-11-23T01:32:38.2619384Z         }
2022-11-23T01:32:38.2619446Z     }
2022-11-23T01:32:38.2619505Z }
2022-11-23T01:32:38.2619582Z ''')
2022-11-23T01:32:38.2619587Z 
2022-11-23T01:32:38.2619591Z 
2022-11-23T01:32:38.2619681Z async_compile.wait(globals())
2022-11-23T01:32:38.2619752Z del async_compile
2022-11-23T01:32:38.2619757Z 
2022-11-23T01:32:38.2619825Z def call(args):
2022-11-23T01:32:38.2619900Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2619957Z     args.clear()
2022-11-23T01:32:38.2620160Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2620319Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2620391Z     del arg0_1
2022-11-23T01:32:38.2620459Z     del arg1_1
2022-11-23T01:32:38.2620531Z     return (buf0, )
2022-11-23T01:32:38.2620536Z 
2022-11-23T01:32:38.2620540Z 
2022-11-23T01:32:38.2620614Z if __name__ == "__main__":
2022-11-23T01:32:38.2620716Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2620837Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2621029Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2621234Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2621345Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2621350Z 
2022-11-23T01:32:38.2621355Z 
2022-11-23T01:32:38.2621446Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2621514Z import torch
2022-11-23T01:32:38.2621584Z import random
2022-11-23T01:32:38.2621686Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2621804Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2621811Z 
2022-11-23T01:32:38.2621888Z aten = torch.ops.aten
2022-11-23T01:32:38.2622020Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2622110Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2622115Z 
2022-11-23T01:32:38.2622119Z 
2022-11-23T01:32:38.2622251Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2622452Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2622570Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2622661Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2622758Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2622818Z {
2022-11-23T01:32:38.2622913Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2622975Z     {
2022-11-23T01:32:38.2623050Z         #pragma omp for 
2022-11-23T01:32:38.2623132Z         for(long i0=0; i0<62; i0+=1)
2022-11-23T01:32:38.2623212Z         {
2022-11-23T01:32:38.2623346Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2623477Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.2623560Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2623679Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2623742Z         }
2022-11-23T01:32:38.2623836Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2623907Z         for(long i0=992; i0<1000; i0+=1)
2022-11-23T01:32:38.2623968Z         {
2022-11-23T01:32:38.2624051Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2624133Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.2624213Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2624291Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.2624354Z         }
2022-11-23T01:32:38.2624402Z     }
2022-11-23T01:32:38.2624539Z }
2022-11-23T01:32:38.2624623Z ''')
2022-11-23T01:32:38.2624631Z 
2022-11-23T01:32:38.2624636Z 
2022-11-23T01:32:38.2624725Z async_compile.wait(globals())
2022-11-23T01:32:38.2624797Z del async_compile
2022-11-23T01:32:38.2624802Z 
2022-11-23T01:32:38.2624872Z def call(args):
2022-11-23T01:32:38.2624947Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2625004Z     args.clear()
2022-11-23T01:32:38.2625239Z     buf0 = empty_strided((10, 1, 10, 1, 10), (100, 1000, 10, 1000, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2625401Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2625468Z     del arg0_1
2022-11-23T01:32:38.2625534Z     del arg1_1
2022-11-23T01:32:38.2625608Z     return (buf0, )
2022-11-23T01:32:38.2625613Z 
2022-11-23T01:32:38.2625617Z 
2022-11-23T01:32:38.2625696Z if __name__ == "__main__":
2022-11-23T01:32:38.2625810Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2625918Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2626124Z     arg0_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2626350Z     arg1_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2626465Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2626845Z [2022-11-23 01:29:54,195] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wr/cwruty6mjq7tlwddlvynuvmsxzwq5ar5wmksbkzbnfjtkusmhawg.py
2022-11-23T01:32:38.2627114Z [2022-11-23 01:29:54,195] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 438
2022-11-23T01:32:38.2627352Z [2022-11-23 01:29:54,202] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2627619Z [2022-11-23 01:29:54,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2627838Z [2022-11-23 01:29:54,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2628078Z [2022-11-23 01:29:54,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2628364Z [2022-11-23 01:29:54,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2628691Z [2022-11-23 01:29:54,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2629020Z [2022-11-23 01:29:54,203] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:38.2629114Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2629205Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:38.2629281Z               4 BINARY_ADD
2022-11-23T01:32:38.2629377Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2629457Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2629579Z              10 CALL_METHOD              1
2022-11-23T01:32:38.2629670Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:38.2629745Z              14 BINARY_ADD
2022-11-23T01:32:38.2629835Z              16 BUILD_TUPLE              1
2022-11-23T01:32:38.2629945Z              18 RETURN_VALUE
2022-11-23T01:32:38.2630008Z  
2022-11-23T01:32:38.2630013Z 
2022-11-23T01:32:38.2630280Z [2022-11-23 01:29:54,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943
2022-11-23T01:32:38.2630480Z [2022-11-23 01:29:54,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2630718Z [2022-11-23 01:29:54,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:38.2630999Z [2022-11-23 01:29:54,203] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.2631244Z [2022-11-23 01:29:54,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2631525Z [2022-11-23 01:29:54,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2631832Z [2022-11-23 01:29:54,205] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2632065Z [2022-11-23 01:29:54,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.2632337Z [2022-11-23 01:29:54,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2632577Z [2022-11-23 01:29:54,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2632806Z [2022-11-23 01:29:54,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2633139Z [2022-11-23 01:29:54,209] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:38.2633389Z [2022-11-23 01:29:54,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2633626Z [2022-11-23 01:29:54,209] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2633880Z [2022-11-23 01:29:54,212] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2634129Z [2022-11-23 01:29:54,218] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2634316Z [2022-11-23 01:29:54,218] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2634452Z  __compiled_fn_447 <eval_with_key>.2761 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2634544Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2634618Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.2634792Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:38.2634899Z call_method, view, view, (add, [10, 1, 10, 1, 10]), {}
2022-11-23T01:32:38.2635079Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.2635178Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:38.2635184Z 
2022-11-23T01:32:38.2635461Z [2022-11-23 01:29:54,219] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2635558Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2635651Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2635730Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2635820Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2635899Z               8 RETURN_VALUE
2022-11-23T01:32:38.2635904Z 
2022-11-23T01:32:38.2635963Z  
2022-11-23T01:32:38.2636232Z [2022-11-23 01:29:54,219] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2636370Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_447)
2022-11-23T01:32:38.2636460Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2636563Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2636639Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2636727Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2636812Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2636886Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.2636973Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.2637076Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2637295Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2637395Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2637482Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.2637579Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2637680Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2637767Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2637844Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.2637932Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.2638013Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2638113Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2638202Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2638278Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.2638378Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2638468Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2638566Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2638639Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2638717Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.2638817Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2638892Z              54 RETURN_VALUE
2022-11-23T01:32:38.2638897Z 
2022-11-23T01:32:38.2638958Z  
2022-11-23T01:32:38.2639148Z [2022-11-23 01:29:54,222] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2639217Z  - 
2022-11-23T01:32:38.2639322Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2639386Z             {
2022-11-23T01:32:38.2639527Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2639712Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.2639831Z                 'obj_weakref': None
2022-11-23T01:32:38.2640054Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2640118Z             }
2022-11-23T01:32:38.2640169Z             
2022-11-23T01:32:38.2640236Z  - 
2022-11-23T01:32:38.2640361Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2640423Z             {
2022-11-23T01:32:38.2640563Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2640669Z                 'code': None,
2022-11-23T01:32:38.2640878Z                 'obj_weakref': <weakref at 0x7f7104e632f0; to 'Tensor' at 0x7f7129e813b0>
2022-11-23T01:32:38.2641114Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2641179Z             }
2022-11-23T01:32:38.2641241Z             
2022-11-23T01:32:38.2641309Z  - 
2022-11-23T01:32:38.2641431Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.2641493Z             {
2022-11-23T01:32:38.2641634Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2641726Z                 'code': None,
2022-11-23T01:32:38.2641929Z                 'obj_weakref': <weakref at 0x7f710cd89470; to 'Tensor' at 0x7f7104e63590>
2022-11-23T01:32:38.2642175Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2642287Z             }
2022-11-23T01:32:38.2642350Z             
2022-11-23T01:32:38.2642419Z  - 
2022-11-23T01:32:38.2642550Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2642632Z             {
2022-11-23T01:32:38.2642771Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2642940Z                 'code': ['___check_obj_id(model, 140123394746992)'],
2022-11-23T01:32:38.2643058Z                 'obj_weakref': None
2022-11-23T01:32:38.2643285Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2643348Z             }
2022-11-23T01:32:38.2643412Z             
2022-11-23T01:32:38.2643467Z  - 
2022-11-23T01:32:38.2643587Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2643651Z             {
2022-11-23T01:32:38.2643784Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2644002Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2644120Z                 'obj_weakref': None
2022-11-23T01:32:38.2644338Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2644391Z             }
2022-11-23T01:32:38.2644453Z             
2022-11-23T01:32:38.2644520Z  - 
2022-11-23T01:32:38.2644696Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2644759Z             {
2022-11-23T01:32:38.2644924Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2645762Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 5', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[3], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[4], 94279403915040)', 'model.__closure__[0].cell_contents == [10, 1, 10, 1, 10]'],
2022-11-23T01:32:38.2645885Z                 'obj_weakref': None
2022-11-23T01:32:38.2646103Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2646155Z             }
2022-11-23T01:32:38.2646217Z             
2022-11-23T01:32:38.2646284Z  - 
2022-11-23T01:32:38.2646468Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2646530Z             {
2022-11-23T01:32:38.2646671Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2646952Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:38.2647058Z                 'obj_weakref': None
2022-11-23T01:32:38.2647277Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2647338Z             }
2022-11-23T01:32:38.2647399Z             
2022-11-23T01:32:38.2647467Z  - 
2022-11-23T01:32:38.2647652Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2647714Z             {
2022-11-23T01:32:38.2647844Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2648121Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 1'],
2022-11-23T01:32:38.2648239Z                 'obj_weakref': None
2022-11-23T01:32:38.2648453Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2648515Z             }
2022-11-23T01:32:38.2648576Z             
2022-11-23T01:32:38.2648644Z  - 
2022-11-23T01:32:38.2648828Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:38.2648910Z             {
2022-11-23T01:32:38.2649050Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2649330Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', 'model.__closure__[0].cell_contents[2] == 10'],
2022-11-23T01:32:38.2649487Z                 'obj_weakref': None
2022-11-23T01:32:38.2649705Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2649767Z             }
2022-11-23T01:32:38.2649828Z             
2022-11-23T01:32:38.2649884Z  - 
2022-11-23T01:32:38.2650064Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:38.2650127Z             {
2022-11-23T01:32:38.2650266Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2650545Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94279403915040)', 'model.__closure__[0].cell_contents[3] == 1'],
2022-11-23T01:32:38.2650665Z                 'obj_weakref': None
2022-11-23T01:32:38.2650879Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2650928Z             }
2022-11-23T01:32:38.2650990Z             
2022-11-23T01:32:38.2651057Z  - 
2022-11-23T01:32:38.2651241Z             local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH
2022-11-23T01:32:38.2651303Z             {
2022-11-23T01:32:38.2651443Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2651723Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 94279403915040)', 'model.__closure__[0].cell_contents[4] == 10'],
2022-11-23T01:32:38.2651841Z                 'obj_weakref': None
2022-11-23T01:32:38.2652043Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2652105Z             }
2022-11-23T01:32:38.2652167Z             
2022-11-23T01:32:38.2652428Z [2022-11-23 01:29:54,234] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 439
2022-11-23T01:32:38.2652803Z [2022-11-23 01:29:54,248] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tt/cttryxqozzvfg7tops2d6npeugum55zav5adxk7jnn5wn5jncrnx.py
2022-11-23T01:32:38.2653070Z [2022-11-23 01:29:54,248] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 439
2022-11-23T01:32:38.2653308Z [2022-11-23 01:29:54,254] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2653575Z [2022-11-23 01:29:54,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2653778Z [2022-11-23 01:29:54,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2654028Z [2022-11-23 01:29:54,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2654310Z [2022-11-23 01:29:54,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2654637Z [2022-11-23 01:29:54,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2654963Z [2022-11-23 01:29:54,255] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939> 
2022-11-23T01:32:38.2655055Z  940           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2655152Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2655244Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2655330Z               6 CALL_METHOD              1
2022-11-23T01:32:38.2655406Z               8 LOAD_FAST                1 (y)
2022-11-23T01:32:38.2655478Z              10 BINARY_ADD
2022-11-23T01:32:38.2655564Z              12 BUILD_TUPLE              1
2022-11-23T01:32:38.2655639Z              14 RETURN_VALUE
2022-11-23T01:32:38.2655765Z  
2022-11-23T01:32:38.2655770Z 
2022-11-23T01:32:38.2656039Z [2022-11-23 01:29:54,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940
2022-11-23T01:32:38.2656274Z [2022-11-23 01:29:54,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2656504Z [2022-11-23 01:29:54,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2656783Z [2022-11-23 01:29:54,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2657085Z [2022-11-23 01:29:54,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2657321Z [2022-11-23 01:29:54,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.2657589Z [2022-11-23 01:29:54,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2657834Z [2022-11-23 01:29:54,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2658081Z [2022-11-23 01:29:54,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2658410Z [2022-11-23 01:29:54,260] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f71f6471a50, file "inductor/test_torchinductor.py", line 939>
2022-11-23T01:32:38.2658655Z [2022-11-23 01:29:54,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2658887Z [2022-11-23 01:29:54,260] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2659125Z [2022-11-23 01:29:54,262] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2659372Z [2022-11-23 01:29:54,267] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2659561Z [2022-11-23 01:29:54,268] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2659695Z  __compiled_fn_448 <eval_with_key>.2767 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2659786Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2659873Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.2659972Z call_method, view, view, (ex_0_, [2, 2, 2, 2]), {}
2022-11-23T01:32:38.2660146Z call_function, add, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.2660228Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.2660234Z 
2022-11-23T01:32:38.2660505Z [2022-11-23 01:29:54,268] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2660597Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2660686Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2660780Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2660873Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2660948Z               8 RETURN_VALUE
2022-11-23T01:32:38.2660953Z 
2022-11-23T01:32:38.2661014Z  
2022-11-23T01:32:38.2661273Z [2022-11-23 01:29:54,269] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2661380Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_448)
2022-11-23T01:32:38.2661469Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2661558Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2661636Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2661723Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2661811Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2661873Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.2661960Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.2662063Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2662220Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2662316Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2662403Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.2662525Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2662613Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2662701Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2662778Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.2662865Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.2662955Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2663051Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2663139Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2663215Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.2663304Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2663399Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2663496Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2663582Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2663657Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.2663761Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2663835Z              54 RETURN_VALUE
2022-11-23T01:32:38.2663840Z 
2022-11-23T01:32:38.2663888Z  
2022-11-23T01:32:38.2664071Z [2022-11-23 01:29:54,272] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2664142Z  - 
2022-11-23T01:32:38.2664259Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2664322Z             {
2022-11-23T01:32:38.2664533Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2664723Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.2664829Z                 'obj_weakref': None
2022-11-23T01:32:38.2665056Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2665120Z             }
2022-11-23T01:32:38.2665185Z             
2022-11-23T01:32:38.2665255Z  - 
2022-11-23T01:32:38.2665379Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2665443Z             {
2022-11-23T01:32:38.2665571Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2665678Z                 'code': None,
2022-11-23T01:32:38.2665885Z                 'obj_weakref': <weakref at 0x7f71c4712b90; to 'Tensor' at 0x7f7129e813b0>
2022-11-23T01:32:38.2666130Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2666197Z             }
2022-11-23T01:32:38.2666261Z             
2022-11-23T01:32:38.2666330Z  - 
2022-11-23T01:32:38.2666439Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.2666504Z             {
2022-11-23T01:32:38.2666649Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2666755Z                 'code': None,
2022-11-23T01:32:38.2666958Z                 'obj_weakref': <weakref at 0x7f71c47125f0; to 'Tensor' at 0x7f7106c321d0>
2022-11-23T01:32:38.2667209Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2667272Z             }
2022-11-23T01:32:38.2667322Z             
2022-11-23T01:32:38.2667390Z  - 
2022-11-23T01:32:38.2667519Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2667582Z             {
2022-11-23T01:32:38.2667715Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2667882Z                 'code': ['___check_obj_id(model, 140123394745408)'],
2022-11-23T01:32:38.2668001Z                 'obj_weakref': None
2022-11-23T01:32:38.2668215Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2668280Z             }
2022-11-23T01:32:38.2668378Z             
2022-11-23T01:32:38.2668451Z  - 
2022-11-23T01:32:38.2668572Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2668636Z             {
2022-11-23T01:32:38.2668772Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2668999Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2669120Z                 'obj_weakref': None
2022-11-23T01:32:38.2669338Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2669402Z             }
2022-11-23T01:32:38.2669466Z             
2022-11-23T01:32:38.2669535Z  - 
2022-11-23T01:32:38.2669714Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2669764Z             {
2022-11-23T01:32:38.2669932Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2670673Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[3], 94279403915040)', 'model.__closure__[0].cell_contents == [2, 2, 2, 2]'],
2022-11-23T01:32:38.2670795Z                 'obj_weakref': None
2022-11-23T01:32:38.2671014Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2671080Z             }
2022-11-23T01:32:38.2671144Z             
2022-11-23T01:32:38.2671215Z  - 
2022-11-23T01:32:38.2671387Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2671451Z             {
2022-11-23T01:32:38.2671594Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2671877Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:32:38.2671998Z                 'obj_weakref': None
2022-11-23T01:32:38.2672217Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2672284Z             }
2022-11-23T01:32:38.2672350Z             
2022-11-23T01:32:38.2672406Z  - 
2022-11-23T01:32:38.2672590Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2672657Z             {
2022-11-23T01:32:38.2672800Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2673080Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 2'],
2022-11-23T01:32:38.2673200Z                 'obj_weakref': None
2022-11-23T01:32:38.2673414Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2673468Z             }
2022-11-23T01:32:38.2673532Z             
2022-11-23T01:32:38.2673602Z  - 
2022-11-23T01:32:38.2673785Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:38.2673850Z             {
2022-11-23T01:32:38.2673992Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2674277Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', 'model.__closure__[0].cell_contents[2] == 2'],
2022-11-23T01:32:38.2674383Z                 'obj_weakref': None
2022-11-23T01:32:38.2674598Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2674661Z             }
2022-11-23T01:32:38.2674725Z             
2022-11-23T01:32:38.2674795Z  - 
2022-11-23T01:32:38.2674978Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:38.2675040Z             {
2022-11-23T01:32:38.2675167Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2675476Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94279403915040)', 'model.__closure__[0].cell_contents[3] == 2'],
2022-11-23T01:32:38.2675595Z                 'obj_weakref': None
2022-11-23T01:32:38.2675841Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2675904Z             }
2022-11-23T01:32:38.2675967Z             
2022-11-23T01:32:38.2676225Z [2022-11-23 01:29:54,280] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 440
2022-11-23T01:32:38.2676589Z [2022-11-23 01:29:54,295] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qt/cqtauajgbr6gu5y2ngrs4m74p4opwjkvjxlqb46y2umgoguncihw.py
2022-11-23T01:32:38.2676842Z [2022-11-23 01:29:54,295] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 440
2022-11-23T01:32:38.2677074Z [2022-11-23 01:29:54,301] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2677465Z [2022-11-23 01:29:54,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2677682Z [2022-11-23 01:29:54,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2677936Z [2022-11-23 01:29:54,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2678223Z [2022-11-23 01:29:54,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2678545Z [2022-11-23 01:29:54,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2678873Z [2022-11-23 01:29:54,302] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942> 
2022-11-23T01:32:38.2678966Z  943           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2679057Z               2 LOAD_CONST               1 (1)
2022-11-23T01:32:38.2679118Z               4 BINARY_ADD
2022-11-23T01:32:38.2679211Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2679305Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2679392Z              10 CALL_METHOD              1
2022-11-23T01:32:38.2679482Z              12 LOAD_FAST                1 (y)
2022-11-23T01:32:38.2679555Z              14 BINARY_ADD
2022-11-23T01:32:38.2679643Z              16 BUILD_TUPLE              1
2022-11-23T01:32:38.2679706Z              18 RETURN_VALUE
2022-11-23T01:32:38.2679766Z  
2022-11-23T01:32:38.2679772Z 
2022-11-23T01:32:38.2680038Z [2022-11-23 01:29:54,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943
2022-11-23T01:32:38.2680245Z [2022-11-23 01:29:54,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2680484Z [2022-11-23 01:29:54,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:38.2680762Z [2022-11-23 01:29:54,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.2681002Z [2022-11-23 01:29:54,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2681281Z [2022-11-23 01:29:54,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2681584Z [2022-11-23 01:29:54,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2681805Z [2022-11-23 01:29:54,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()]
2022-11-23T01:32:38.2682074Z [2022-11-23 01:29:54,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2682366Z [2022-11-23 01:29:54,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2682608Z [2022-11-23 01:29:54,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2682973Z [2022-11-23 01:29:54,308] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f71f6471ae0, file "inductor/test_torchinductor.py", line 942>
2022-11-23T01:32:38.2683218Z [2022-11-23 01:29:54,308] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2683450Z [2022-11-23 01:29:54,308] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2683701Z [2022-11-23 01:29:54,310] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2683948Z [2022-11-23 01:29:54,316] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2684124Z [2022-11-23 01:29:54,317] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2684259Z  __compiled_fn_449 <eval_with_key>.2773 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2684349Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2684434Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.2684607Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:38.2684708Z call_method, view, view, (add, [2, 2, 2, 2]), {}
2022-11-23T01:32:38.2684885Z call_function, add_1, <built-in function add>, (view, ex_1_), {}
2022-11-23T01:32:38.2684968Z output, output, output, ((add_1,),), {}
2022-11-23T01:32:38.2684986Z 
2022-11-23T01:32:38.2685246Z [2022-11-23 01:29:54,317] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2685337Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2685426Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2685520Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2685610Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2685685Z               8 RETURN_VALUE
2022-11-23T01:32:38.2685691Z 
2022-11-23T01:32:38.2685750Z  
2022-11-23T01:32:38.2686011Z [2022-11-23 01:29:54,318] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2686118Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_449)
2022-11-23T01:32:38.2686205Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2686293Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2686368Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2686454Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2686540Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2686614Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.2686688Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.2686789Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2686919Z              18 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2687014Z              20 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2687101Z              22 CALL_FUNCTION            0
2022-11-23T01:32:38.2687198Z              24 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2687296Z              26 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2687372Z              28 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2687446Z              30 BINARY_SUBSCR
2022-11-23T01:32:38.2687532Z              32 BUILD_TUPLE              1
2022-11-23T01:32:38.2687624Z              34 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2687721Z              36 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2687807Z              38 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2687881Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.2688003Z              42 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2688092Z              44 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2688186Z              46 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2688273Z              48 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2688379Z              50 BINARY_SUBSCR
2022-11-23T01:32:38.2688479Z              52 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2688553Z              54 RETURN_VALUE
2022-11-23T01:32:38.2688558Z 
2022-11-23T01:32:38.2688619Z  
2022-11-23T01:32:38.2688790Z [2022-11-23 01:29:54,321] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2688858Z  - 
2022-11-23T01:32:38.2688975Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2689039Z             {
2022-11-23T01:32:38.2689178Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2689363Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.2689483Z                 'obj_weakref': None
2022-11-23T01:32:38.2689693Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2689758Z             }
2022-11-23T01:32:38.2689820Z             
2022-11-23T01:32:38.2689888Z  - 
2022-11-23T01:32:38.2690015Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2690077Z             {
2022-11-23T01:32:38.2690206Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2690311Z                 'code': None,
2022-11-23T01:32:38.2690519Z                 'obj_weakref': <weakref at 0x7f70f2962c50; to 'Tensor' at 0x7f7129e813b0>
2022-11-23T01:32:38.2690765Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2690828Z             }
2022-11-23T01:32:38.2690890Z             
2022-11-23T01:32:38.2690959Z  - 
2022-11-23T01:32:38.2691080Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.2691130Z             {
2022-11-23T01:32:38.2691272Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2691376Z                 'code': None,
2022-11-23T01:32:38.2691581Z                 'obj_weakref': <weakref at 0x7f710ce344d0; to 'Tensor' at 0x7f7106c321d0>
2022-11-23T01:32:38.2691832Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2691898Z             }
2022-11-23T01:32:38.2691959Z             
2022-11-23T01:32:38.2692014Z  - 
2022-11-23T01:32:38.2692141Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2692204Z             {
2022-11-23T01:32:38.2692335Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2692504Z                 'code': ['___check_obj_id(model, 140123394746992)'],
2022-11-23T01:32:38.2692620Z                 'obj_weakref': None
2022-11-23T01:32:38.2692846Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2692898Z             }
2022-11-23T01:32:38.2692960Z             
2022-11-23T01:32:38.2693027Z  - 
2022-11-23T01:32:38.2693147Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2693209Z             {
2022-11-23T01:32:38.2693344Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2693559Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2693663Z                 'obj_weakref': None
2022-11-23T01:32:38.2693879Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2693942Z             }
2022-11-23T01:32:38.2694003Z             
2022-11-23T01:32:38.2694069Z  - 
2022-11-23T01:32:38.2694249Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2694311Z             {
2022-11-23T01:32:38.2694465Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2695228Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[3], 94279403915040)', 'model.__closure__[0].cell_contents == [2, 2, 2, 2]'],
2022-11-23T01:32:38.2695391Z                 'obj_weakref': None
2022-11-23T01:32:38.2695605Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2695668Z             }
2022-11-23T01:32:38.2695730Z             
2022-11-23T01:32:38.2695798Z  - 
2022-11-23T01:32:38.2695982Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2696032Z             {
2022-11-23T01:32:38.2696173Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2696453Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 2'],
2022-11-23T01:32:38.2696573Z                 'obj_weakref': None
2022-11-23T01:32:38.2696789Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2696854Z             }
2022-11-23T01:32:38.2696917Z             
2022-11-23T01:32:38.2696972Z  - 
2022-11-23T01:32:38.2697153Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2697213Z             {
2022-11-23T01:32:38.2697353Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2697642Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 2'],
2022-11-23T01:32:38.2697761Z                 'obj_weakref': None
2022-11-23T01:32:38.2697977Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2698042Z             }
2022-11-23T01:32:38.2698091Z             
2022-11-23T01:32:38.2698160Z  - 
2022-11-23T01:32:38.2698346Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:38.2698409Z             {
2022-11-23T01:32:38.2698553Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2698834Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', 'model.__closure__[0].cell_contents[2] == 2'],
2022-11-23T01:32:38.2698950Z                 'obj_weakref': None
2022-11-23T01:32:38.2699153Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2699215Z             }
2022-11-23T01:32:38.2699277Z             
2022-11-23T01:32:38.2699344Z  - 
2022-11-23T01:32:38.2699527Z             local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH
2022-11-23T01:32:38.2699590Z             {
2022-11-23T01:32:38.2699729Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2700000Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 94279403915040)', 'model.__closure__[0].cell_contents[3] == 2'],
2022-11-23T01:32:38.2700116Z                 'obj_weakref': None
2022-11-23T01:32:38.2700332Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2700395Z             }
2022-11-23T01:32:38.2700457Z             
2022-11-23T01:32:38.2700715Z [2022-11-23 01:29:54,331] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 441
2022-11-23T01:32:38.2701083Z [2022-11-23 01:29:54,346] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a2/ca2pik7rwk6xtr3mmhusodoa2uzdke4pqc4tkkbgmng6vsjoygpo.py
2022-11-23T01:32:38.2701346Z [2022-11-23 01:29:54,346] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 441
2022-11-23T01:32:38.2701352Z 
2022-11-23T01:32:38.2701356Z 
2022-11-23T01:32:38.2701480Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2701536Z import torch
2022-11-23T01:32:38.2701604Z import random
2022-11-23T01:32:38.2701718Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2701841Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2701846Z 
2022-11-23T01:32:38.2701950Z aten = torch.ops.aten
2022-11-23T01:32:38.2702083Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2702174Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2702179Z 
2022-11-23T01:32:38.2702183Z 
2022-11-23T01:32:38.2702319Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2702511Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2702629Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2702732Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2702831Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2702895Z {
2022-11-23T01:32:38.2702990Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2703051Z     {
2022-11-23T01:32:38.2703115Z         #pragma omp for 
2022-11-23T01:32:38.2703196Z         for(long i0=0; i0<62; i0+=1)
2022-11-23T01:32:38.2703257Z         {
2022-11-23T01:32:38.2703405Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2703533Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.2703664Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:38.2703751Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2703819Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2703910Z             tmp4.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2703972Z         }
2022-11-23T01:32:38.2704066Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2704149Z         for(long i0=992; i0<1000; i0+=1)
2022-11-23T01:32:38.2704213Z         {
2022-11-23T01:32:38.2704295Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2704365Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:38.2704547Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:38.2704633Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2704717Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2704797Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:38.2704861Z         }
2022-11-23T01:32:38.2704921Z     }
2022-11-23T01:32:38.2704967Z }
2022-11-23T01:32:38.2705049Z ''')
2022-11-23T01:32:38.2705053Z 
2022-11-23T01:32:38.2705058Z 
2022-11-23T01:32:38.2705145Z async_compile.wait(globals())
2022-11-23T01:32:38.2705217Z del async_compile
2022-11-23T01:32:38.2705223Z 
2022-11-23T01:32:38.2705292Z def call(args):
2022-11-23T01:32:38.2705367Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2705438Z     args.clear()
2022-11-23T01:32:38.2705658Z     buf0 = empty_strided((10, 1, 10, 1, 10), (100, 1000, 10, 1000, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2705823Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2705893Z     del arg0_1
2022-11-23T01:32:38.2705962Z     del arg1_1
2022-11-23T01:32:38.2706033Z     return (buf0, )
2022-11-23T01:32:38.2706038Z 
2022-11-23T01:32:38.2706044Z 
2022-11-23T01:32:38.2706122Z if __name__ == "__main__":
2022-11-23T01:32:38.2706236Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2706358Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2706548Z     arg0_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2706771Z     arg1_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2706885Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2706890Z 
2022-11-23T01:32:38.2706895Z 
2022-11-23T01:32:38.2706985Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2707101Z import torch
2022-11-23T01:32:38.2707170Z import random
2022-11-23T01:32:38.2707283Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2707402Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2707407Z 
2022-11-23T01:32:38.2707471Z aten = torch.ops.aten
2022-11-23T01:32:38.2707638Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2707731Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2707736Z 
2022-11-23T01:32:38.2707740Z 
2022-11-23T01:32:38.2707874Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2708080Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2708199Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2708303Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2708404Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2708453Z {
2022-11-23T01:32:38.2708552Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2708616Z     {
2022-11-23T01:32:38.2708694Z         #pragma omp for 
2022-11-23T01:32:38.2708776Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:38.2708841Z         {
2022-11-23T01:32:38.2708982Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2709100Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.2709185Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2709277Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2709340Z         }
2022-11-23T01:32:38.2709436Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2709519Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:38.2709582Z         {
2022-11-23T01:32:38.2709652Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2709733Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.2709817Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2709900Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.2709963Z         }
2022-11-23T01:32:38.2710025Z     }
2022-11-23T01:32:38.2710086Z }
2022-11-23T01:32:38.2710152Z ''')
2022-11-23T01:32:38.2710157Z 
2022-11-23T01:32:38.2710161Z 
2022-11-23T01:32:38.2710250Z async_compile.wait(globals())
2022-11-23T01:32:38.2710328Z del async_compile
2022-11-23T01:32:38.2710333Z 
2022-11-23T01:32:38.2710407Z def call(args):
2022-11-23T01:32:38.2710484Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2710557Z     args.clear()
2022-11-23T01:32:38.2710767Z     buf0 = empty_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2710917Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2710985Z     del arg0_1
2022-11-23T01:32:38.2711052Z     del arg1_1
2022-11-23T01:32:38.2711128Z     return (buf0, )
2022-11-23T01:32:38.2711133Z 
2022-11-23T01:32:38.2711137Z 
2022-11-23T01:32:38.2711215Z if __name__ == "__main__":
2022-11-23T01:32:38.2711331Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2711453Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2711649Z     arg0_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2711845Z     arg1_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2711961Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2711966Z 
2022-11-23T01:32:38.2711970Z 
2022-11-23T01:32:38.2712062Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2712134Z import torch
2022-11-23T01:32:38.2712207Z import random
2022-11-23T01:32:38.2712323Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2712442Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2712447Z 
2022-11-23T01:32:38.2712525Z aten = torch.ops.aten
2022-11-23T01:32:38.2712645Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2712766Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2712771Z 
2022-11-23T01:32:38.2712775Z 
2022-11-23T01:32:38.2712906Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2713108Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2713255Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2713362Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2713461Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2713520Z {
2022-11-23T01:32:38.2713604Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2713664Z     {
2022-11-23T01:32:38.2713739Z         #pragma omp for 
2022-11-23T01:32:38.2713820Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:38.2713882Z         {
2022-11-23T01:32:38.2714015Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2714147Z             auto tmp3 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.2714265Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:38.2714356Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2714437Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2714529Z             tmp4.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2714591Z         }
2022-11-23T01:32:38.2714686Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2714778Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:38.2714828Z         {
2022-11-23T01:32:38.2714909Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2714987Z             auto tmp3 = in_ptr1[i0];
2022-11-23T01:32:38.2715086Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:38.2715166Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2715246Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2715325Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:38.2715374Z         }
2022-11-23T01:32:38.2715436Z     }
2022-11-23T01:32:38.2715495Z }
2022-11-23T01:32:38.2715571Z ''')
2022-11-23T01:32:38.2715577Z 
2022-11-23T01:32:38.2715581Z 
2022-11-23T01:32:38.2715668Z async_compile.wait(globals())
2022-11-23T01:32:38.2715742Z del async_compile
2022-11-23T01:32:38.2715746Z 
2022-11-23T01:32:38.2715816Z def call(args):
2022-11-23T01:32:38.2715880Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2715951Z     args.clear()
2022-11-23T01:32:38.2716157Z     buf0 = empty_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2716320Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2716387Z     del arg0_1
2022-11-23T01:32:38.2716453Z     del arg1_1
2022-11-23T01:32:38.2716524Z     return (buf0, )
2022-11-23T01:32:38.2716528Z 
2022-11-23T01:32:38.2716532Z 
2022-11-23T01:32:38.2716606Z if __name__ == "__main__":
2022-11-23T01:32:38.2716705Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2716827Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2717022Z     arg0_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2717344Z     arg1_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2717462Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2717467Z 
2022-11-23T01:32:38.2717533Z ok (27.796s)
2022-11-23T01:32:38.2717838Z   test_views2_cpu (__main__.CpuTests) ... [2022-11-23 01:29:54,354] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2718108Z [2022-11-23 01:29:54,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2718314Z [2022-11-23 01:29:54,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2718567Z [2022-11-23 01:29:54,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2718912Z [2022-11-23 01:29:54,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2719271Z [2022-11-23 01:29:54,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2719601Z [2022-11-23 01:29:54,355] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f71f6471c00, file "inductor/test_torchinductor.py", line 963> 
2022-11-23T01:32:38.2719693Z  964           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2719787Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2719880Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2719966Z               6 CALL_METHOD              1
2022-11-23T01:32:38.2720042Z               8 LOAD_CONST               1 (1)
2022-11-23T01:32:38.2720115Z              10 BINARY_ADD
2022-11-23T01:32:38.2720203Z              12 BUILD_TUPLE              1
2022-11-23T01:32:38.2720280Z              14 RETURN_VALUE
2022-11-23T01:32:38.2720340Z  
2022-11-23T01:32:38.2720347Z 
2022-11-23T01:32:38.2720612Z [2022-11-23 01:29:54,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:964
2022-11-23T01:32:38.2720823Z [2022-11-23 01:29:54,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2721051Z [2022-11-23 01:29:54,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2721334Z [2022-11-23 01:29:54,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2721638Z [2022-11-23 01:29:54,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2721876Z [2022-11-23 01:29:54,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:38.2722157Z [2022-11-23 01:29:54,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.2722395Z [2022-11-23 01:29:54,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2722644Z [2022-11-23 01:29:54,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2722974Z [2022-11-23 01:29:54,360] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f71f6471c00, file "inductor/test_torchinductor.py", line 963>
2022-11-23T01:32:38.2723217Z [2022-11-23 01:29:54,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2723448Z [2022-11-23 01:29:54,360] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2723687Z [2022-11-23 01:29:54,362] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2723936Z [2022-11-23 01:29:54,366] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2724125Z [2022-11-23 01:29:54,367] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2724259Z  __compiled_fn_450 <eval_with_key>.2779 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2724349Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2724491Z call_method, view, view, (ex_0_, [4, -1]), {}
2022-11-23T01:32:38.2724662Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:32:38.2724756Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.2724762Z 
2022-11-23T01:32:38.2725024Z [2022-11-23 01:29:54,367] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2725116Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2725206Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2725297Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2725415Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2725490Z               8 RETURN_VALUE
2022-11-23T01:32:38.2725496Z 
2022-11-23T01:32:38.2725556Z  
2022-11-23T01:32:38.2725856Z [2022-11-23 01:29:54,367] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2725953Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_450)
2022-11-23T01:32:38.2726041Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2726128Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2726204Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2726291Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.2726392Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2726519Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2726602Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2726691Z              16 CALL_FUNCTION            0
2022-11-23T01:32:38.2726785Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2726883Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2726974Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2727052Z              24 BINARY_SUBSCR
2022-11-23T01:32:38.2727139Z              26 BUILD_TUPLE              1
2022-11-23T01:32:38.2727229Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2727314Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2727402Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2727477Z              34 BINARY_SUBSCR
2022-11-23T01:32:38.2727577Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2727667Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2727760Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2727848Z              42 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2727911Z              44 BINARY_SUBSCR
2022-11-23T01:32:38.2728011Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2728085Z              48 RETURN_VALUE
2022-11-23T01:32:38.2728090Z 
2022-11-23T01:32:38.2728151Z  
2022-11-23T01:32:38.2728332Z [2022-11-23 01:29:54,370] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2728401Z  - 
2022-11-23T01:32:38.2728518Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2728569Z             {
2022-11-23T01:32:38.2728708Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2728893Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.2729011Z                 'obj_weakref': None
2022-11-23T01:32:38.2729231Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2729295Z             }
2022-11-23T01:32:38.2729359Z             
2022-11-23T01:32:38.2729415Z  - 
2022-11-23T01:32:38.2729536Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2729600Z             {
2022-11-23T01:32:38.2729742Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2729847Z                 'code': None,
2022-11-23T01:32:38.2730058Z                 'obj_weakref': <weakref at 0x7f71c0f2d110; to 'Tensor' at 0x7f710cd89a70>
2022-11-23T01:32:38.2730307Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2730358Z             }
2022-11-23T01:32:38.2730418Z             
2022-11-23T01:32:38.2730487Z  - 
2022-11-23T01:32:38.2730619Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2730682Z             {
2022-11-23T01:32:38.2730814Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2730982Z                 'code': ['___check_obj_id(model, 140124011550912)'],
2022-11-23T01:32:38.2731087Z                 'obj_weakref': None
2022-11-23T01:32:38.2731343Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2731405Z             }
2022-11-23T01:32:38.2731467Z             
2022-11-23T01:32:38.2731535Z  - 
2022-11-23T01:32:38.2731654Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2731745Z             {
2022-11-23T01:32:38.2731867Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2732080Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2732196Z                 'obj_weakref': None
2022-11-23T01:32:38.2732410Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2732473Z             }
2022-11-23T01:32:38.2732538Z             
2022-11-23T01:32:38.2732606Z  - 
2022-11-23T01:32:38.2732771Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2732832Z             {
2022-11-23T01:32:38.2733001Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2733549Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents == [4, -1]'],
2022-11-23T01:32:38.2733667Z                 'obj_weakref': None
2022-11-23T01:32:38.2733884Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2733948Z             }
2022-11-23T01:32:38.2734010Z             
2022-11-23T01:32:38.2734065Z  - 
2022-11-23T01:32:38.2734247Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2734310Z             {
2022-11-23T01:32:38.2734451Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2734735Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 4'],
2022-11-23T01:32:38.2734852Z                 'obj_weakref': None
2022-11-23T01:32:38.2735070Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2735121Z             }
2022-11-23T01:32:38.2735183Z             
2022-11-23T01:32:38.2735251Z  - 
2022-11-23T01:32:38.2735434Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2735497Z             {
2022-11-23T01:32:38.2735637Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2735921Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == -1'],
2022-11-23T01:32:38.2736042Z                 'obj_weakref': None
2022-11-23T01:32:38.2736245Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2736314Z             }
2022-11-23T01:32:38.2736375Z             
2022-11-23T01:32:38.2736634Z [2022-11-23 01:29:54,379] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 442
2022-11-23T01:32:38.2737005Z [2022-11-23 01:29:56,937] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xb/cxbwixiynml45htam4atn6dgvbbmuduyjgjeg7l6klv2tkvorwks.py
2022-11-23T01:32:38.2737267Z [2022-11-23 01:29:56,938] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 442
2022-11-23T01:32:38.2737504Z [2022-11-23 01:29:56,948] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2737771Z [2022-11-23 01:29:56,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2737976Z [2022-11-23 01:29:56,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2738227Z [2022-11-23 01:29:56,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2738541Z [2022-11-23 01:29:56,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2738907Z [2022-11-23 01:29:56,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2739238Z [2022-11-23 01:29:56,949] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f71f6471c90, file "inductor/test_torchinductor.py", line 966> 
2022-11-23T01:32:38.2739333Z  967           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2739422Z               2 LOAD_CONST               1 (2)
2022-11-23T01:32:38.2739502Z               4 BINARY_MULTIPLY
2022-11-23T01:32:38.2739594Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2739674Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2739763Z              10 CALL_METHOD              1
2022-11-23T01:32:38.2739851Z              12 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2739924Z              14 BINARY_ADD
2022-11-23T01:32:38.2740012Z              16 BUILD_TUPLE              1
2022-11-23T01:32:38.2740088Z              18 RETURN_VALUE
2022-11-23T01:32:38.2740153Z  
2022-11-23T01:32:38.2740158Z 
2022-11-23T01:32:38.2740411Z [2022-11-23 01:29:56,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:967
2022-11-23T01:32:38.2740621Z [2022-11-23 01:29:56,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2740866Z [2022-11-23 01:29:56,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:38.2741158Z [2022-11-23 01:29:56,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.2741398Z [2022-11-23 01:29:56,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2741679Z [2022-11-23 01:29:56,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2741981Z [2022-11-23 01:29:56,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2742216Z [2022-11-23 01:29:56,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:38.2742492Z [2022-11-23 01:29:56,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.2742718Z [2022-11-23 01:29:56,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2742961Z [2022-11-23 01:29:56,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2743289Z [2022-11-23 01:29:56,960] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f71f6471c90, file "inductor/test_torchinductor.py", line 966>
2022-11-23T01:32:38.2743534Z [2022-11-23 01:29:56,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2743768Z [2022-11-23 01:29:56,960] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2744020Z [2022-11-23 01:29:56,963] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2744268Z [2022-11-23 01:29:56,971] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2744532Z [2022-11-23 01:29:56,972] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2744673Z  __compiled_fn_451 <eval_with_key>.2785 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2744749Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2744921Z call_function, mul, <built-in function mul>, (ex_0_, 2), {}
2022-11-23T01:32:38.2745103Z call_method, view, view, (mul, [4, -1]), {}
2022-11-23T01:32:38.2745272Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:32:38.2745368Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.2745374Z 
2022-11-23T01:32:38.2745681Z [2022-11-23 01:29:56,973] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2745775Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2745864Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2745944Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2746036Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2746114Z               8 RETURN_VALUE
2022-11-23T01:32:38.2746119Z 
2022-11-23T01:32:38.2746179Z  
2022-11-23T01:32:38.2746451Z [2022-11-23 01:29:56,973] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2746555Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_451)
2022-11-23T01:32:38.2746648Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2746738Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2746802Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2746892Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.2746995Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2747123Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2747221Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2747309Z              16 CALL_FUNCTION            0
2022-11-23T01:32:38.2747409Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2747497Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2747587Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2747666Z              24 BINARY_SUBSCR
2022-11-23T01:32:38.2747756Z              26 BUILD_TUPLE              1
2022-11-23T01:32:38.2747850Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2747949Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2748040Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2748103Z              34 BINARY_SUBSCR
2022-11-23T01:32:38.2748206Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2748298Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2748395Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2748484Z              42 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2748561Z              44 BINARY_SUBSCR
2022-11-23T01:32:38.2748662Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2748726Z              48 RETURN_VALUE
2022-11-23T01:32:38.2748744Z 
2022-11-23T01:32:38.2748792Z  
2022-11-23T01:32:38.2748975Z [2022-11-23 01:29:56,977] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2749046Z  - 
2022-11-23T01:32:38.2749166Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2749231Z             {
2022-11-23T01:32:38.2749378Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2749566Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.2749673Z                 'obj_weakref': None
2022-11-23T01:32:38.2749897Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2749964Z             }
2022-11-23T01:32:38.2750028Z             
2022-11-23T01:32:38.2750097Z  - 
2022-11-23T01:32:38.2750224Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2750274Z             {
2022-11-23T01:32:38.2750415Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2750521Z                 'code': None,
2022-11-23T01:32:38.2750730Z                 'obj_weakref': <weakref at 0x7f7112a3d9b0; to 'Tensor' at 0x7f71241dc230>
2022-11-23T01:32:38.2751013Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2751078Z             }
2022-11-23T01:32:38.2751143Z             
2022-11-23T01:32:38.2751212Z  - 
2022-11-23T01:32:38.2751390Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2751457Z             {
2022-11-23T01:32:38.2751591Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2751761Z                 'code': ['___check_obj_id(model, 140124011858400)'],
2022-11-23T01:32:38.2751880Z                 'obj_weakref': None
2022-11-23T01:32:38.2752108Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2752173Z             }
2022-11-23T01:32:38.2752222Z             
2022-11-23T01:32:38.2752291Z  - 
2022-11-23T01:32:38.2752411Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2752475Z             {
2022-11-23T01:32:38.2752613Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2752833Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2752950Z                 'obj_weakref': None
2022-11-23T01:32:38.2753155Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2753220Z             }
2022-11-23T01:32:38.2753283Z             
2022-11-23T01:32:38.2753350Z  - 
2022-11-23T01:32:38.2753527Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2753590Z             {
2022-11-23T01:32:38.2753758Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2754290Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents == [4, -1]'],
2022-11-23T01:32:38.2754411Z                 'obj_weakref': None
2022-11-23T01:32:38.2754629Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2754691Z             }
2022-11-23T01:32:38.2754753Z             
2022-11-23T01:32:38.2754822Z  - 
2022-11-23T01:32:38.2755004Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2755066Z             {
2022-11-23T01:32:38.2755196Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2755476Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 4'],
2022-11-23T01:32:38.2755593Z                 'obj_weakref': None
2022-11-23T01:32:38.2755809Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2761360Z             }
2022-11-23T01:32:38.2761458Z             
2022-11-23T01:32:38.2761559Z  - 
2022-11-23T01:32:38.2761746Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2761812Z             {
2022-11-23T01:32:38.2761959Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2762254Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == -1'],
2022-11-23T01:32:38.2762376Z                 'obj_weakref': None
2022-11-23T01:32:38.2762598Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2762664Z             }
2022-11-23T01:32:38.2762714Z             
2022-11-23T01:32:38.2762975Z [2022-11-23 01:29:56,990] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 443
2022-11-23T01:32:38.2763354Z [2022-11-23 01:29:59,579] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sl/cslffhua5riaqi7mvpcquu2pb5efnyzravwv3jgjf47drelse5yw.py
2022-11-23T01:32:38.2763718Z [2022-11-23 01:29:59,580] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 443
2022-11-23T01:32:38.2763961Z [2022-11-23 01:29:59,591] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2764266Z [2022-11-23 01:29:59,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2764487Z [2022-11-23 01:29:59,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2764738Z [2022-11-23 01:29:59,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2765022Z [2022-11-23 01:29:59,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2765351Z [2022-11-23 01:29:59,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2765668Z [2022-11-23 01:29:59,593] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f71f6471c00, file "inductor/test_torchinductor.py", line 963> 
2022-11-23T01:32:38.2765760Z  964           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2765856Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2765953Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2766041Z               6 CALL_METHOD              1
2022-11-23T01:32:38.2766130Z               8 LOAD_CONST               1 (1)
2022-11-23T01:32:38.2766204Z              10 BINARY_ADD
2022-11-23T01:32:38.2766281Z              12 BUILD_TUPLE              1
2022-11-23T01:32:38.2766355Z              14 RETURN_VALUE
2022-11-23T01:32:38.2766416Z  
2022-11-23T01:32:38.2766423Z 
2022-11-23T01:32:38.2766689Z [2022-11-23 01:29:59,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:964
2022-11-23T01:32:38.2766896Z [2022-11-23 01:29:59,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2767139Z [2022-11-23 01:29:59,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2767427Z [2022-11-23 01:29:59,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2767732Z [2022-11-23 01:29:59,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2767970Z [2022-11-23 01:29:59,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:38.2768234Z [2022-11-23 01:29:59,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.2768471Z [2022-11-23 01:29:59,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2768715Z [2022-11-23 01:29:59,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2769045Z [2022-11-23 01:29:59,601] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f71f6471c00, file "inductor/test_torchinductor.py", line 963>
2022-11-23T01:32:38.2769291Z [2022-11-23 01:29:59,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2769522Z [2022-11-23 01:29:59,601] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2769775Z [2022-11-23 01:29:59,605] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2770022Z [2022-11-23 01:29:59,613] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2770210Z [2022-11-23 01:29:59,613] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2770331Z  __compiled_fn_452 <eval_with_key>.2791 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2770454Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2770601Z call_method, view, view, (ex_0_, [-1, 100]), {}
2022-11-23T01:32:38.2770771Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:32:38.2770867Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.2770899Z 
2022-11-23T01:32:38.2771179Z [2022-11-23 01:29:59,613] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2771271Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2771359Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2771439Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2771528Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2771604Z               8 RETURN_VALUE
2022-11-23T01:32:38.2771609Z 
2022-11-23T01:32:38.2771672Z  
2022-11-23T01:32:38.2771942Z [2022-11-23 01:29:59,614] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2772050Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_452)
2022-11-23T01:32:38.2772139Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2772226Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2772293Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2772382Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.2772485Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2772613Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2772710Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2772796Z              16 CALL_FUNCTION            0
2022-11-23T01:32:38.2772891Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2772980Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2773067Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2773146Z              24 BINARY_SUBSCR
2022-11-23T01:32:38.2773233Z              26 BUILD_TUPLE              1
2022-11-23T01:32:38.2773325Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2773425Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2773516Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2773579Z              34 BINARY_SUBSCR
2022-11-23T01:32:38.2773678Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2773769Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2773864Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2773951Z              42 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2774025Z              44 BINARY_SUBSCR
2022-11-23T01:32:38.2774124Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2774186Z              48 RETURN_VALUE
2022-11-23T01:32:38.2774203Z 
2022-11-23T01:32:38.2774253Z  
2022-11-23T01:32:38.2774436Z [2022-11-23 01:29:59,617] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2774504Z  - 
2022-11-23T01:32:38.2774622Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2774686Z             {
2022-11-23T01:32:38.2774825Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2774999Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.2775116Z                 'obj_weakref': None
2022-11-23T01:32:38.2775337Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2775402Z             }
2022-11-23T01:32:38.2775468Z             
2022-11-23T01:32:38.2775536Z  - 
2022-11-23T01:32:38.2775658Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2775708Z             {
2022-11-23T01:32:38.2775848Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2775952Z                 'code': None,
2022-11-23T01:32:38.2776194Z                 'obj_weakref': <weakref at 0x7f7106c6cd10; to 'Tensor' at 0x7f71241dc230>
2022-11-23T01:32:38.2776442Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2776506Z             }
2022-11-23T01:32:38.2776567Z             
2022-11-23T01:32:38.2776660Z  - 
2022-11-23T01:32:38.2776779Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2776842Z             {
2022-11-23T01:32:38.2776973Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2777143Z                 'code': ['___check_obj_id(model, 140124011550912)'],
2022-11-23T01:32:38.2777260Z                 'obj_weakref': None
2022-11-23T01:32:38.2777487Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2777553Z             }
2022-11-23T01:32:38.2777602Z             
2022-11-23T01:32:38.2777669Z  - 
2022-11-23T01:32:38.2777789Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2777854Z             {
2022-11-23T01:32:38.2777988Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2778199Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2778314Z                 'obj_weakref': None
2022-11-23T01:32:38.2778520Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2778582Z             }
2022-11-23T01:32:38.2778644Z             
2022-11-23T01:32:38.2778711Z  - 
2022-11-23T01:32:38.2778886Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2778948Z             {
2022-11-23T01:32:38.2779103Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2779649Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents == [-1, 100]'],
2022-11-23T01:32:38.2779769Z                 'obj_weakref': None
2022-11-23T01:32:38.2779985Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2780054Z             }
2022-11-23T01:32:38.2780117Z             
2022-11-23T01:32:38.2780183Z  - 
2022-11-23T01:32:38.2780365Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2780417Z             {
2022-11-23T01:32:38.2780557Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2780835Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == -1'],
2022-11-23T01:32:38.2780951Z                 'obj_weakref': None
2022-11-23T01:32:38.2781167Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2781233Z             }
2022-11-23T01:32:38.2781294Z             
2022-11-23T01:32:38.2781362Z  - 
2022-11-23T01:32:38.2781533Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2781594Z             {
2022-11-23T01:32:38.2781737Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2782020Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 100'],
2022-11-23T01:32:38.2782137Z                 'obj_weakref': None
2022-11-23T01:32:38.2782352Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2782416Z             }
2022-11-23T01:32:38.2782466Z             
2022-11-23T01:32:38.2782725Z [2022-11-23 01:29:59,628] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 444
2022-11-23T01:32:38.2783093Z [2022-11-23 01:30:02,200] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ay/cayn6rstdrdcyscj3zonjhky4s7uiscfgtgzt4w7in7ju23imrnq.py
2022-11-23T01:32:38.2783391Z [2022-11-23 01:30:02,201] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 444
2022-11-23T01:32:38.2783653Z [2022-11-23 01:30:02,214] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2783922Z [2022-11-23 01:30:02,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2784138Z [2022-11-23 01:30:02,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2784388Z [2022-11-23 01:30:02,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2784772Z [2022-11-23 01:30:02,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2785084Z [2022-11-23 01:30:02,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2785410Z [2022-11-23 01:30:02,216] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f71f6471c90, file "inductor/test_torchinductor.py", line 966> 
2022-11-23T01:32:38.2785503Z  967           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2785595Z               2 LOAD_CONST               1 (2)
2022-11-23T01:32:38.2785675Z               4 BINARY_MULTIPLY
2022-11-23T01:32:38.2785768Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2785861Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2785947Z              10 CALL_METHOD              1
2022-11-23T01:32:38.2786023Z              12 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2786096Z              14 BINARY_ADD
2022-11-23T01:32:38.2786184Z              16 BUILD_TUPLE              1
2022-11-23T01:32:38.2786259Z              18 RETURN_VALUE
2022-11-23T01:32:38.2786324Z  
2022-11-23T01:32:38.2786330Z 
2022-11-23T01:32:38.2786596Z [2022-11-23 01:30:02,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:967
2022-11-23T01:32:38.2786806Z [2022-11-23 01:30:02,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2787046Z [2022-11-23 01:30:02,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:38.2787324Z [2022-11-23 01:30:02,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.2787562Z [2022-11-23 01:30:02,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2787840Z [2022-11-23 01:30:02,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2788142Z [2022-11-23 01:30:02,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2788379Z [2022-11-23 01:30:02,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:38.2788659Z [2022-11-23 01:30:02,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.2788896Z [2022-11-23 01:30:02,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2789138Z [2022-11-23 01:30:02,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2789465Z [2022-11-23 01:30:02,228] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f71f6471c90, file "inductor/test_torchinductor.py", line 966>
2022-11-23T01:32:38.2789706Z [2022-11-23 01:30:02,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2789928Z [2022-11-23 01:30:02,228] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2790217Z [2022-11-23 01:30:02,232] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2790511Z [2022-11-23 01:30:02,242] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2790702Z [2022-11-23 01:30:02,242] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2790836Z  __compiled_fn_453 <eval_with_key>.2797 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2790926Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2791098Z call_function, mul, <built-in function mul>, (ex_0_, 2), {}
2022-11-23T01:32:38.2791241Z call_method, view, view, (mul, [-1, 100]), {}
2022-11-23T01:32:38.2791397Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:32:38.2791491Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.2791497Z 
2022-11-23T01:32:38.2791773Z [2022-11-23 01:30:02,243] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2791869Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2791960Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2792050Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2792143Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2792219Z               8 RETURN_VALUE
2022-11-23T01:32:38.2792224Z 
2022-11-23T01:32:38.2792273Z  
2022-11-23T01:32:38.2792545Z [2022-11-23 01:30:02,243] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2792652Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_453)
2022-11-23T01:32:38.2792742Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2792831Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2792910Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2793000Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.2793094Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2793222Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2793318Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2793409Z              16 CALL_FUNCTION            0
2022-11-23T01:32:38.2793506Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2793608Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2793698Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2793776Z              24 BINARY_SUBSCR
2022-11-23T01:32:38.2793853Z              26 BUILD_TUPLE              1
2022-11-23T01:32:38.2793946Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2794046Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2794134Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2794213Z              34 BINARY_SUBSCR
2022-11-23T01:32:38.2794315Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2794407Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2794491Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2794580Z              42 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2794661Z              44 BINARY_SUBSCR
2022-11-23T01:32:38.2794764Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2794839Z              48 RETURN_VALUE
2022-11-23T01:32:38.2794845Z 
2022-11-23T01:32:38.2794907Z  
2022-11-23T01:32:38.2795091Z [2022-11-23 01:30:02,247] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2795147Z  - 
2022-11-23T01:32:38.2795266Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2795331Z             {
2022-11-23T01:32:38.2795475Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2795663Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.2795813Z                 'obj_weakref': None
2022-11-23T01:32:38.2796035Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2796088Z             }
2022-11-23T01:32:38.2796152Z             
2022-11-23T01:32:38.2796250Z  - 
2022-11-23T01:32:38.2796379Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2796444Z             {
2022-11-23T01:32:38.2796588Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2796694Z                 'code': None,
2022-11-23T01:32:38.2796888Z                 'obj_weakref': <weakref at 0x7f7106269050; to 'Tensor' at 0x7f71241dc230>
2022-11-23T01:32:38.2797247Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2797312Z             }
2022-11-23T01:32:38.2797376Z             
2022-11-23T01:32:38.2797448Z  - 
2022-11-23T01:32:38.2797578Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2797645Z             {
2022-11-23T01:32:38.2797767Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2797935Z                 'code': ['___check_obj_id(model, 140124011858400)'],
2022-11-23T01:32:38.2798053Z                 'obj_weakref': None
2022-11-23T01:32:38.2798286Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2798350Z             }
2022-11-23T01:32:38.2798414Z             
2022-11-23T01:32:38.2798481Z  - 
2022-11-23T01:32:38.2798589Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2798652Z             {
2022-11-23T01:32:38.2798787Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2799005Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2799122Z                 'obj_weakref': None
2022-11-23T01:32:38.2799340Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2799407Z             }
2022-11-23T01:32:38.2799456Z             
2022-11-23T01:32:38.2799525Z  - 
2022-11-23T01:32:38.2799704Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2799767Z             {
2022-11-23T01:32:38.2799936Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2800483Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents == [-1, 100]'],
2022-11-23T01:32:38.2800601Z                 'obj_weakref': None
2022-11-23T01:32:38.2800818Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2800869Z             }
2022-11-23T01:32:38.2800930Z             
2022-11-23T01:32:38.2801000Z  - 
2022-11-23T01:32:38.2801184Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2801246Z             {
2022-11-23T01:32:38.2801386Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2801671Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == -1'],
2022-11-23T01:32:38.2801776Z                 'obj_weakref': None
2022-11-23T01:32:38.2801991Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2802054Z             }
2022-11-23T01:32:38.2802116Z             
2022-11-23T01:32:38.2802182Z  - 
2022-11-23T01:32:38.2802365Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2802426Z             {
2022-11-23T01:32:38.2802554Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2802837Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == 100'],
2022-11-23T01:32:38.2803010Z                 'obj_weakref': None
2022-11-23T01:32:38.2803227Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2803322Z             }
2022-11-23T01:32:38.2803386Z             
2022-11-23T01:32:38.2803643Z [2022-11-23 01:30:02,264] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 445
2022-11-23T01:32:38.2804012Z [2022-11-23 01:30:04,870] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xw/cxw7qrvlnq7xe2tqofo2ng2hg4z7grspr5btymyzcr4vmdjdxjmg.py
2022-11-23T01:32:38.2804265Z [2022-11-23 01:30:04,871] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 445
2022-11-23T01:32:38.2804502Z [2022-11-23 01:30:04,880] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2804769Z [2022-11-23 01:30:04,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2804985Z [2022-11-23 01:30:04,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2805240Z [2022-11-23 01:30:04,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2805526Z [2022-11-23 01:30:04,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2805848Z [2022-11-23 01:30:04,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2806173Z [2022-11-23 01:30:04,882] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn1 at 0x7f71f6471c00, file "inductor/test_torchinductor.py", line 963> 
2022-11-23T01:32:38.2806265Z  964           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2806362Z               2 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2806443Z               4 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2806529Z               6 CALL_METHOD              1
2022-11-23T01:32:38.2806619Z               8 LOAD_CONST               1 (1)
2022-11-23T01:32:38.2806696Z              10 BINARY_ADD
2022-11-23T01:32:38.2806784Z              12 BUILD_TUPLE              1
2022-11-23T01:32:38.2806859Z              14 RETURN_VALUE
2022-11-23T01:32:38.2806919Z  
2022-11-23T01:32:38.2806925Z 
2022-11-23T01:32:38.2807178Z [2022-11-23 01:30:04,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:964
2022-11-23T01:32:38.2807387Z [2022-11-23 01:30:04,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2807628Z [2022-11-23 01:30:04,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2807907Z [2022-11-23 01:30:04,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2808209Z [2022-11-23 01:30:04,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2808449Z [2022-11-23 01:30:04,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:38.2808729Z [2022-11-23 01:30:04,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.2808965Z [2022-11-23 01:30:04,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2809206Z [2022-11-23 01:30:04,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2809522Z [2022-11-23 01:30:04,888] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn1 at 0x7f71f6471c00, file "inductor/test_torchinductor.py", line 963>
2022-11-23T01:32:38.2809797Z [2022-11-23 01:30:04,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2810029Z [2022-11-23 01:30:04,888] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2810309Z [2022-11-23 01:30:04,890] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2810558Z [2022-11-23 01:30:04,896] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2810744Z [2022-11-23 01:30:04,896] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2810878Z  __compiled_fn_454 <eval_with_key>.2803 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2810967Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2811115Z call_method, view, view, (ex_0_, [10, -1, 20]), {}
2022-11-23T01:32:38.2811271Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:32:38.2811365Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.2811373Z 
2022-11-23T01:32:38.2811649Z [2022-11-23 01:30:04,897] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2811742Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2811835Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2811927Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2812016Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2812092Z               8 RETURN_VALUE
2022-11-23T01:32:38.2812097Z 
2022-11-23T01:32:38.2812146Z  
2022-11-23T01:32:38.2812419Z [2022-11-23 01:30:04,897] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2812525Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_454)
2022-11-23T01:32:38.2812614Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2812703Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2812782Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2812870Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.2812960Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2813085Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2813182Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2813270Z              16 CALL_FUNCTION            0
2022-11-23T01:32:38.2813368Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2813470Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2813558Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2813635Z              24 BINARY_SUBSCR
2022-11-23T01:32:38.2813709Z              26 BUILD_TUPLE              1
2022-11-23T01:32:38.2813800Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2813897Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2813986Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2814061Z              34 BINARY_SUBSCR
2022-11-23T01:32:38.2814162Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2814252Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2814337Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2814424Z              42 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2814499Z              44 BINARY_SUBSCR
2022-11-23T01:32:38.2814597Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2814674Z              48 RETURN_VALUE
2022-11-23T01:32:38.2814679Z 
2022-11-23T01:32:38.2814738Z  
2022-11-23T01:32:38.2814921Z [2022-11-23 01:30:04,901] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2814978Z  - 
2022-11-23T01:32:38.2815095Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2815158Z             {
2022-11-23T01:32:38.2815298Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2815511Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.2815628Z                 'obj_weakref': None
2022-11-23T01:32:38.2815851Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2815930Z             }
2022-11-23T01:32:38.2815993Z             
2022-11-23T01:32:38.2816061Z  - 
2022-11-23T01:32:38.2816184Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2816246Z             {
2022-11-23T01:32:38.2816386Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2816492Z                 'code': None,
2022-11-23T01:32:38.2816687Z                 'obj_weakref': <weakref at 0x7f7106e76d70; to 'Tensor' at 0x7f71241dc230>
2022-11-23T01:32:38.2816933Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2816996Z             }
2022-11-23T01:32:38.2817060Z             
2022-11-23T01:32:38.2817127Z  - 
2022-11-23T01:32:38.2817258Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2817320Z             {
2022-11-23T01:32:38.2817439Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2817604Z                 'code': ['___check_obj_id(model, 140124011550912)'],
2022-11-23T01:32:38.2817722Z                 'obj_weakref': None
2022-11-23T01:32:38.2817949Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2818011Z             }
2022-11-23T01:32:38.2818073Z             
2022-11-23T01:32:38.2818140Z  - 
2022-11-23T01:32:38.2818250Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2818312Z             {
2022-11-23T01:32:38.2818446Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2818660Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2818776Z                 'obj_weakref': None
2022-11-23T01:32:38.2818994Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2819059Z             }
2022-11-23T01:32:38.2819108Z             
2022-11-23T01:32:38.2819176Z  - 
2022-11-23T01:32:38.2819353Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2819416Z             {
2022-11-23T01:32:38.2819582Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2820222Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', 'model.__closure__[0].cell_contents == [10, -1, 20]'],
2022-11-23T01:32:38.2820340Z                 'obj_weakref': None
2022-11-23T01:32:38.2820559Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2820609Z             }
2022-11-23T01:32:38.2820671Z             
2022-11-23T01:32:38.2820738Z  - 
2022-11-23T01:32:38.2820921Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2820985Z             {
2022-11-23T01:32:38.2821126Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2821408Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:38.2821524Z                 'obj_weakref': None
2022-11-23T01:32:38.2821728Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2821790Z             }
2022-11-23T01:32:38.2821852Z             
2022-11-23T01:32:38.2821918Z  - 
2022-11-23T01:32:38.2822102Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2822195Z             {
2022-11-23T01:32:38.2822335Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2822605Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == -1'],
2022-11-23T01:32:38.2822748Z                 'obj_weakref': None
2022-11-23T01:32:38.2822965Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2823028Z             }
2022-11-23T01:32:38.2823090Z             
2022-11-23T01:32:38.2823158Z  - 
2022-11-23T01:32:38.2823342Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:38.2823392Z             {
2022-11-23T01:32:38.2823532Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2823813Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', 'model.__closure__[0].cell_contents[2] == 20'],
2022-11-23T01:32:38.2823931Z                 'obj_weakref': None
2022-11-23T01:32:38.2824144Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2824210Z             }
2022-11-23T01:32:38.2824271Z             
2022-11-23T01:32:38.2824622Z [2022-11-23 01:30:04,910] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 446
2022-11-23T01:32:38.2824642Z 
2022-11-23T01:32:38.2824723Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2824791Z import torch
2022-11-23T01:32:38.2824861Z import random
2022-11-23T01:32:38.2824976Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2825095Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2825100Z 
2022-11-23T01:32:38.2825177Z aten = torch.ops.aten
2022-11-23T01:32:38.2825310Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2825388Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2825393Z 
2022-11-23T01:32:38.2825412Z 
2022-11-23T01:32:38.2825537Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2825739Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2825857Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2825960Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2826021Z {
2022-11-23T01:32:38.2826118Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2826180Z     {
2022-11-23T01:32:38.2826244Z         #pragma omp for 
2022-11-23T01:32:38.2826324Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:38.2826386Z         {
2022-11-23T01:32:38.2826529Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2826664Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:38.2826748Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2826839Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2826890Z         }
2022-11-23T01:32:38.2826985Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2827066Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:38.2827127Z         {
2022-11-23T01:32:38.2827210Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2827310Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:38.2827394Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2827462Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.2827523Z         }
2022-11-23T01:32:38.2827584Z     }
2022-11-23T01:32:38.2827644Z }
2022-11-23T01:32:38.2827722Z ''')
2022-11-23T01:32:38.2827727Z 
2022-11-23T01:32:38.2827731Z 
2022-11-23T01:32:38.2827821Z async_compile.wait(globals())
2022-11-23T01:32:38.2827892Z del async_compile
2022-11-23T01:32:38.2827898Z 
2022-11-23T01:32:38.2827956Z def call(args):
2022-11-23T01:32:38.2828024Z     arg0_1, = args
2022-11-23T01:32:38.2828094Z     args.clear()
2022-11-23T01:32:38.2828286Z     buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2828460Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2828527Z     del arg0_1
2022-11-23T01:32:38.2828598Z     return (buf0, )
2022-11-23T01:32:38.2828603Z 
2022-11-23T01:32:38.2828607Z 
2022-11-23T01:32:38.2828705Z if __name__ == "__main__":
2022-11-23T01:32:38.2828819Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2828939Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2829152Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2829260Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.2829265Z 
2022-11-23T01:32:38.2829269Z 
2022-11-23T01:32:38.2829361Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2829429Z import torch
2022-11-23T01:32:38.2829499Z import random
2022-11-23T01:32:38.2829599Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2829718Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2829726Z 
2022-11-23T01:32:38.2829804Z aten = torch.ops.aten
2022-11-23T01:32:38.2829935Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2830026Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2830031Z 
2022-11-23T01:32:38.2830037Z 
2022-11-23T01:32:38.2830168Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2830374Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2830492Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2830579Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2830638Z {
2022-11-23T01:32:38.2830735Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2830796Z     {
2022-11-23T01:32:38.2830873Z         #pragma omp for 
2022-11-23T01:32:38.2830955Z         for(long i0=0; i0<1; i0+=1)
2022-11-23T01:32:38.2831021Z         {
2022-11-23T01:32:38.2831141Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2831277Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:38.2831364Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.2831499Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:38.2831584Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2831676Z             tmp4.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2831740Z         }
2022-11-23T01:32:38.2831835Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2831904Z         for(long i0=16; i0<16; i0+=1)
2022-11-23T01:32:38.2831967Z         {
2022-11-23T01:32:38.2832050Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2832151Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:38.2832235Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.2832333Z             auto tmp3 = static_cast<float>(1);
2022-11-23T01:32:38.2832403Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2832488Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:38.2832551Z         }
2022-11-23T01:32:38.2832613Z     }
2022-11-23T01:32:38.2832674Z }
2022-11-23T01:32:38.2832753Z ''')
2022-11-23T01:32:38.2832758Z 
2022-11-23T01:32:38.2832762Z 
2022-11-23T01:32:38.2832854Z async_compile.wait(globals())
2022-11-23T01:32:38.2832928Z del async_compile
2022-11-23T01:32:38.2832933Z 
2022-11-23T01:32:38.2832990Z def call(args):
2022-11-23T01:32:38.2833061Z     arg0_1, = args
2022-11-23T01:32:38.2833133Z     args.clear()
2022-11-23T01:32:38.2833329Z     buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2833461Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2833529Z     del arg0_1
2022-11-23T01:32:38.2833602Z     return (buf0, )
2022-11-23T01:32:38.2833607Z 
2022-11-23T01:32:38.2833611Z 
2022-11-23T01:32:38.2833673Z if __name__ == "__main__":
2022-11-23T01:32:38.2833786Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2833941Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2834151Z     arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2834261Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.2834308Z 
2022-11-23T01:32:38.2834312Z 
2022-11-23T01:32:38.2834406Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2834477Z import torch
2022-11-23T01:32:38.2834548Z import random
2022-11-23T01:32:38.2834648Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2834768Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2834773Z 
2022-11-23T01:32:38.2834855Z aten = torch.ops.aten
2022-11-23T01:32:38.2834988Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2835080Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2835085Z 
2022-11-23T01:32:38.2835089Z 
2022-11-23T01:32:38.2835225Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2835433Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2835553Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2835641Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2835704Z {
2022-11-23T01:32:38.2835800Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2835861Z     {
2022-11-23T01:32:38.2835940Z         #pragma omp for 
2022-11-23T01:32:38.2836022Z         for(long i0=0; i0<62; i0+=1)
2022-11-23T01:32:38.2836086Z         {
2022-11-23T01:32:38.2836206Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2836340Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:38.2836426Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2836517Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2836579Z         }
2022-11-23T01:32:38.2836672Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2836760Z         for(long i0=992; i0<1000; i0+=1)
2022-11-23T01:32:38.2836810Z         {
2022-11-23T01:32:38.2836892Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2836989Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:38.2837074Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2837258Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.2837320Z         }
2022-11-23T01:32:38.2837381Z     }
2022-11-23T01:32:38.2837427Z }
2022-11-23T01:32:38.2837505Z ''')
2022-11-23T01:32:38.2837510Z 
2022-11-23T01:32:38.2837514Z 
2022-11-23T01:32:38.2837603Z async_compile.wait(globals())
2022-11-23T01:32:38.2837675Z del async_compile
2022-11-23T01:32:38.2837680Z 
2022-11-23T01:32:38.2837749Z def call(args):
2022-11-23T01:32:38.2837819Z     arg0_1, = args
2022-11-23T01:32:38.2837889Z     args.clear()
2022-11-23T01:32:38.2838078Z     buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2838213Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2838281Z     del arg0_1
2022-11-23T01:32:38.2838351Z     return (buf0, )
2022-11-23T01:32:38.2838356Z 
2022-11-23T01:32:38.2838360Z 
2022-11-23T01:32:38.2838435Z if __name__ == "__main__":
2022-11-23T01:32:38.2838549Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2838670Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2838898Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2838994Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.2838999Z 
2022-11-23T01:32:38.2839015Z 
2022-11-23T01:32:38.2839094Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2839163Z import torch
2022-11-23T01:32:38.2839231Z import random
2022-11-23T01:32:38.2839344Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2839461Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2839520Z 
2022-11-23T01:32:38.2839597Z aten = torch.ops.aten
2022-11-23T01:32:38.2839729Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2839806Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2839810Z 
2022-11-23T01:32:38.2839814Z 
2022-11-23T01:32:38.2839979Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2840183Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2840300Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2840399Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2840460Z {
2022-11-23T01:32:38.2840555Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2840616Z     {
2022-11-23T01:32:38.2840679Z         #pragma omp for 
2022-11-23T01:32:38.2840760Z         for(long i0=0; i0<62; i0+=1)
2022-11-23T01:32:38.2840823Z         {
2022-11-23T01:32:38.2840955Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2841088Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:38.2841172Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.2841300Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:38.2841373Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2841465Z             tmp4.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2841529Z         }
2022-11-23T01:32:38.2841623Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2841706Z         for(long i0=992; i0<1000; i0+=1)
2022-11-23T01:32:38.2841770Z         {
2022-11-23T01:32:38.2841853Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2841939Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:38.2842020Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.2842118Z             auto tmp3 = static_cast<float>(1);
2022-11-23T01:32:38.2842200Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2842282Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:38.2842344Z         }
2022-11-23T01:32:38.2842404Z     }
2022-11-23T01:32:38.2842451Z }
2022-11-23T01:32:38.2842527Z ''')
2022-11-23T01:32:38.2842532Z 
2022-11-23T01:32:38.2842536Z 
2022-11-23T01:32:38.2842625Z async_compile.wait(globals())
2022-11-23T01:32:38.2842699Z del async_compile
2022-11-23T01:32:38.2842703Z 
2022-11-23T01:32:38.2842772Z def call(args):
2022-11-23T01:32:38.2842839Z     arg0_1, = args
2022-11-23T01:32:38.2842910Z     args.clear()
2022-11-23T01:32:38.2843098Z     buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2843230Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2843296Z     del arg0_1
2022-11-23T01:32:38.2843365Z     return (buf0, )
2022-11-23T01:32:38.2843371Z 
2022-11-23T01:32:38.2843375Z 
2022-11-23T01:32:38.2843448Z if __name__ == "__main__":
2022-11-23T01:32:38.2843560Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2843682Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2843909Z     arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2844004Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.2844008Z 
2022-11-23T01:32:38.2844026Z 
2022-11-23T01:32:38.2844106Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2844173Z import torch
2022-11-23T01:32:38.2844241Z import random
2022-11-23T01:32:38.2844354Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2844474Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2844479Z 
2022-11-23T01:32:38.2844556Z aten = torch.ops.aten
2022-11-23T01:32:38.2844690Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2844768Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2844772Z 
2022-11-23T01:32:38.2844776Z 
2022-11-23T01:32:38.2844906Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2845159Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2845277Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2845376Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2845436Z {
2022-11-23T01:32:38.2845573Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2845623Z     {
2022-11-23T01:32:38.2845702Z         #pragma omp for 
2022-11-23T01:32:38.2845783Z         for(long i0=0; i0<62; i0+=1)
2022-11-23T01:32:38.2845846Z         {
2022-11-23T01:32:38.2845982Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2846112Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:38.2846197Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2846290Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2846340Z         }
2022-11-23T01:32:38.2846435Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2846521Z         for(long i0=992; i0<1000; i0+=1)
2022-11-23T01:32:38.2846583Z         {
2022-11-23T01:32:38.2846666Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2846764Z             auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:38.2846836Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2846915Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.2846975Z         }
2022-11-23T01:32:38.2847034Z     }
2022-11-23T01:32:38.2847093Z }
2022-11-23T01:32:38.2847170Z ''')
2022-11-23T01:32:38.2847175Z 
2022-11-23T01:32:38.2847179Z 
2022-11-23T01:32:38.2847269Z async_compile.wait(globals())
2022-11-23T01:32:38.2847328Z del async_compile
2022-11-23T01:32:38.2847344Z 
2022-11-23T01:32:38.2847401Z def call(args):
2022-11-23T01:32:38.2847469Z     arg0_1, = args
2022-11-23T01:32:38.2847539Z     args.clear()
2022-11-23T01:32:38.2847745Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2847876Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2847944Z     del arg0_1
2022-11-23T01:32:38.2848013Z     return (buf0, )
2022-11-23T01:32:38.2848018Z 
2022-11-23T01:32:38.2848023Z 
2022-11-23T01:32:38.2848085Z if __name__ == "__main__":
2022-11-23T01:32:38.2848197Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2848317Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2848514Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2848620Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.2848986Z [2022-11-23 01:30:04,925] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h5/ch5dx2jkblzy4zgw4ypkye252ioll7ipvwqa55canl6oucjtrhfa.py
2022-11-23T01:32:38.2849253Z [2022-11-23 01:30:04,925] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 446
2022-11-23T01:32:38.2849488Z [2022-11-23 01:30:04,932] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2849746Z [2022-11-23 01:30:04,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2849960Z [2022-11-23 01:30:04,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2850212Z [2022-11-23 01:30:04,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2850496Z [2022-11-23 01:30:04,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2850818Z [2022-11-23 01:30:04,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2851142Z [2022-11-23 01:30:04,933] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn2 at 0x7f71f6471c90, file "inductor/test_torchinductor.py", line 966> 
2022-11-23T01:32:38.2851269Z  967           0 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2851360Z               2 LOAD_CONST               1 (2)
2022-11-23T01:32:38.2851438Z               4 BINARY_MULTIPLY
2022-11-23T01:32:38.2851520Z               6 LOAD_METHOD              0 (view)
2022-11-23T01:32:38.2851638Z               8 LOAD_DEREF               0 (size2)
2022-11-23T01:32:38.2851725Z              10 CALL_METHOD              1
2022-11-23T01:32:38.2851813Z              12 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2851886Z              14 BINARY_ADD
2022-11-23T01:32:38.2851972Z              16 BUILD_TUPLE              1
2022-11-23T01:32:38.2852046Z              18 RETURN_VALUE
2022-11-23T01:32:38.2852093Z  
2022-11-23T01:32:38.2852098Z 
2022-11-23T01:32:38.2852367Z [2022-11-23 01:30:04,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:967
2022-11-23T01:32:38.2852575Z [2022-11-23 01:30:04,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x []
2022-11-23T01:32:38.2852814Z [2022-11-23 01:30:04,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()]
2022-11-23T01:32:38.2853104Z [2022-11-23 01:30:04,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.2853346Z [2022-11-23 01:30:04,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()]
2022-11-23T01:32:38.2853624Z [2022-11-23 01:30:04,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)]
2022-11-23T01:32:38.2853925Z [2022-11-23 01:30:04,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()]
2022-11-23T01:32:38.2854160Z [2022-11-23 01:30:04,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:38.2854436Z [2022-11-23 01:30:04,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.2854665Z [2022-11-23 01:30:04,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.2854908Z [2022-11-23 01:30:04,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2855236Z [2022-11-23 01:30:04,940] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn2 at 0x7f71f6471c90, file "inductor/test_torchinductor.py", line 966>
2022-11-23T01:32:38.2855478Z [2022-11-23 01:30:04,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2855710Z [2022-11-23 01:30:04,940] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2855958Z [2022-11-23 01:30:04,942] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2856204Z [2022-11-23 01:30:04,948] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2856392Z [2022-11-23 01:30:04,949] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2856527Z  __compiled_fn_455 <eval_with_key>.2809 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2856604Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2856774Z call_function, mul, <built-in function mul>, (ex_0_, 2), {}
2022-11-23T01:32:38.2856920Z call_method, view, view, (mul, [10, -1, 20]), {}
2022-11-23T01:32:38.2857090Z call_function, add, <built-in function add>, (view, 1), {}
2022-11-23T01:32:38.2857185Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.2857190Z 
2022-11-23T01:32:38.2857464Z [2022-11-23 01:30:04,949] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2857558Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2857647Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2857728Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2857880Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2857957Z               8 RETURN_VALUE
2022-11-23T01:32:38.2857962Z 
2022-11-23T01:32:38.2858024Z  
2022-11-23T01:32:38.2858323Z [2022-11-23 01:30:04,949] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2858434Z 296           0 LOAD_GLOBAL              4 (__compiled_fn_455)
2022-11-23T01:32:38.2858524Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2858602Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2858679Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2858768Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.2858870Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2858997Z              12 LOAD_GLOBAL              0 (__import_torch_dot__dynamo_dot_utils)
2022-11-23T01:32:38.2859092Z              14 LOAD_ATTR                1 (make_cell)
2022-11-23T01:32:38.2859187Z              16 CALL_FUNCTION            0
2022-11-23T01:32:38.2859284Z              18 STORE_FAST               4 (___tmp_1)
2022-11-23T01:32:38.2859372Z              20 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2859460Z              22 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2859539Z              24 BINARY_SUBSCR
2022-11-23T01:32:38.2859628Z              26 BUILD_TUPLE              1
2022-11-23T01:32:38.2859720Z              28 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2859819Z              30 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2859910Z              32 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2859971Z              34 BINARY_SUBSCR
2022-11-23T01:32:38.2860072Z              36 LOAD_ATTR                2 (cell_contents)
2022-11-23T01:32:38.2860164Z              38 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2860259Z              40 LOAD_ATTR                3 (__closure__)
2022-11-23T01:32:38.2860348Z              42 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2860422Z              44 BINARY_SUBSCR
2022-11-23T01:32:38.2860520Z              46 STORE_ATTR               2 (cell_contents)
2022-11-23T01:32:38.2860583Z              48 RETURN_VALUE
2022-11-23T01:32:38.2860588Z 
2022-11-23T01:32:38.2860647Z  
2022-11-23T01:32:38.2860831Z [2022-11-23 01:30:04,952] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2860900Z  - 
2022-11-23T01:32:38.2861018Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2861080Z             {
2022-11-23T01:32:38.2861222Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2861395Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.2861513Z                 'obj_weakref': None
2022-11-23T01:32:38.2861736Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2861801Z             }
2022-11-23T01:32:38.2861865Z             
2022-11-23T01:32:38.2861934Z  - 
2022-11-23T01:32:38.2862057Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2862107Z             {
2022-11-23T01:32:38.2862249Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2862354Z                 'code': None,
2022-11-23T01:32:38.2862561Z                 'obj_weakref': <weakref at 0x7f7104e63590; to 'Tensor' at 0x7f71241dc230>
2022-11-23T01:32:38.2862806Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2862873Z             }
2022-11-23T01:32:38.2862937Z             
2022-11-23T01:32:38.2862992Z  - 
2022-11-23T01:32:38.2863120Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2863182Z             {
2022-11-23T01:32:38.2863314Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2863482Z                 'code': ['___check_obj_id(model, 140124011858400)'],
2022-11-23T01:32:38.2863599Z                 'obj_weakref': None
2022-11-23T01:32:38.2863857Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2863908Z             }
2022-11-23T01:32:38.2863969Z             
2022-11-23T01:32:38.2864037Z  - 
2022-11-23T01:32:38.2864160Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2864249Z             {
2022-11-23T01:32:38.2864388Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2864687Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2864793Z                 'obj_weakref': None
2022-11-23T01:32:38.2865011Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2865076Z             }
2022-11-23T01:32:38.2865138Z             
2022-11-23T01:32:38.2865207Z  - 
2022-11-23T01:32:38.2865385Z             local 'model.__closure__[0].cell_contents' EQUALS_MATCH
2022-11-23T01:32:38.2865449Z             {
2022-11-23T01:32:38.2865600Z                 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'],
2022-11-23T01:32:38.2866256Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents, 94279403917216)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', '___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', 'model.__closure__[0].cell_contents == [10, -1, 20]'],
2022-11-23T01:32:38.2866376Z                 'obj_weakref': None
2022-11-23T01:32:38.2866595Z                 'guarded_class': <weakref at 0x7f71f6683770; to 'type' at 0x55bf22614fa0 (list)>
2022-11-23T01:32:38.2866659Z             }
2022-11-23T01:32:38.2866724Z             
2022-11-23T01:32:38.2866793Z  - 
2022-11-23T01:32:38.2866977Z             local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH
2022-11-23T01:32:38.2867028Z             {
2022-11-23T01:32:38.2867171Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2867458Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 94279403915040)', 'model.__closure__[0].cell_contents[0] == 10'],
2022-11-23T01:32:38.2867580Z                 'obj_weakref': None
2022-11-23T01:32:38.2867802Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2867866Z             }
2022-11-23T01:32:38.2867931Z             
2022-11-23T01:32:38.2868002Z  - 
2022-11-23T01:32:38.2868172Z             local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2868236Z             {
2022-11-23T01:32:38.2868379Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2868667Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 94279403915040)', 'model.__closure__[0].cell_contents[1] == -1'],
2022-11-23T01:32:38.2868786Z                 'obj_weakref': None
2022-11-23T01:32:38.2869004Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2869070Z             }
2022-11-23T01:32:38.2869121Z             
2022-11-23T01:32:38.2869190Z  - 
2022-11-23T01:32:38.2869375Z             local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH
2022-11-23T01:32:38.2869443Z             {
2022-11-23T01:32:38.2869588Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2869871Z                 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 94279403915040)', 'model.__closure__[0].cell_contents[2] == 20'],
2022-11-23T01:32:38.2869994Z                 'obj_weakref': None
2022-11-23T01:32:38.2870199Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2870264Z             }
2022-11-23T01:32:38.2870328Z             
2022-11-23T01:32:38.2870590Z [2022-11-23 01:30:04,962] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 447
2022-11-23T01:32:38.2870996Z [2022-11-23 01:30:04,975] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jj/cjjtnjfhjoprfcaef6s2drq4ya445c4plhvur33cguifln4l6he7.py
2022-11-23T01:32:38.2871262Z [2022-11-23 01:30:04,976] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 447
2022-11-23T01:32:38.2871295Z 
2022-11-23T01:32:38.2871301Z 
2022-11-23T01:32:38.2871396Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2871468Z import torch
2022-11-23T01:32:38.2871539Z import random
2022-11-23T01:32:38.2871640Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2871761Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2871767Z 
2022-11-23T01:32:38.2871843Z aten = torch.ops.aten
2022-11-23T01:32:38.2871977Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2872070Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2872075Z 
2022-11-23T01:32:38.2872080Z 
2022-11-23T01:32:38.2872214Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2872422Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2872543Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2872632Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2872693Z {
2022-11-23T01:32:38.2872791Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2872853Z     {
2022-11-23T01:32:38.2872929Z         #pragma omp for 
2022-11-23T01:32:38.2873009Z         for(long i0=0; i0<62; i0+=1)
2022-11-23T01:32:38.2873059Z         {
2022-11-23T01:32:38.2873195Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.2873327Z             auto tmp1 = at::vec::Vectorized<float>(static_cast<float>(2));
2022-11-23T01:32:38.2873412Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.2873543Z             auto tmp3 = at::vec::Vectorized<float>(static_cast<float>(1));
2022-11-23T01:32:38.2873625Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2873719Z             tmp4.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.2873785Z         }
2022-11-23T01:32:38.2873868Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2873951Z         for(long i0=992; i0<1000; i0+=1)
2022-11-23T01:32:38.2874013Z         {
2022-11-23T01:32:38.2874098Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2874197Z             auto tmp1 = static_cast<float>(2);
2022-11-23T01:32:38.2874279Z             auto tmp2 = tmp0 * tmp1;
2022-11-23T01:32:38.2874379Z             auto tmp3 = static_cast<float>(1);
2022-11-23T01:32:38.2874451Z             auto tmp4 = tmp2 + tmp3;
2022-11-23T01:32:38.2874530Z             out_ptr0[i0] = tmp4;
2022-11-23T01:32:38.2874591Z         }
2022-11-23T01:32:38.2874650Z     }
2022-11-23T01:32:38.2874710Z }
2022-11-23T01:32:38.2874785Z ''')
2022-11-23T01:32:38.2874791Z 
2022-11-23T01:32:38.2874795Z 
2022-11-23T01:32:38.2874884Z async_compile.wait(globals())
2022-11-23T01:32:38.2874943Z del async_compile
2022-11-23T01:32:38.2874950Z 
2022-11-23T01:32:38.2875020Z def call(args):
2022-11-23T01:32:38.2875087Z     arg0_1, = args
2022-11-23T01:32:38.2875157Z     args.clear()
2022-11-23T01:32:38.2875365Z     buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2875499Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2875566Z     del arg0_1
2022-11-23T01:32:38.2875624Z     return (buf0, )
2022-11-23T01:32:38.2875641Z 
2022-11-23T01:32:38.2875645Z 
2022-11-23T01:32:38.2875708Z if __name__ == "__main__":
2022-11-23T01:32:38.2875820Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2875941Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2876141Z     arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2876246Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.2876251Z 
2022-11-23T01:32:38.2876317Z ok (10.629s)
2022-11-23T01:32:38.2876652Z   test_views3_cpu (__main__.CpuTests) ... [2022-11-23 01:30:04,989] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2876919Z [2022-11-23 01:30:04,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2877319Z [2022-11-23 01:30:04,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2877579Z [2022-11-23 01:30:04,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2877864Z [2022-11-23 01:30:04,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2878191Z [2022-11-23 01:30:04,989] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2878526Z [2022-11-23 01:30:04,989] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object forward at 0x7f71f6471db0, file "inductor/test_torchinductor.py", line 979> 
2022-11-23T01:32:38.2878625Z  980           0 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.2878720Z               2 LOAD_ATTR                1 (ops)
2022-11-23T01:32:38.2878818Z               4 LOAD_ATTR                2 (aten)
2022-11-23T01:32:38.2878897Z               6 LOAD_METHOD              3 (index)
2022-11-23T01:32:38.2878986Z               8 LOAD_FAST                0 (arg1)
2022-11-23T01:32:38.2879073Z              10 LOAD_FAST                1 (arg2)
2022-11-23T01:32:38.2879159Z              12 BUILD_LIST               1
2022-11-23T01:32:38.2879245Z              14 CALL_METHOD              2
2022-11-23T01:32:38.2879339Z              16 STORE_FAST               2 (index)
2022-11-23T01:32:38.2879344Z 
2022-11-23T01:32:38.2879434Z 981          18 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.2879523Z              20 LOAD_ATTR                1 (ops)
2022-11-23T01:32:38.2879599Z              22 LOAD_ATTR                2 (aten)
2022-11-23T01:32:38.2879690Z              24 LOAD_METHOD              4 (view)
2022-11-23T01:32:38.2879781Z              26 LOAD_FAST                2 (index)
2022-11-23T01:32:38.2879868Z              28 LOAD_CONST               1 (1)
2022-11-23T01:32:38.2879961Z              30 LOAD_CONST               2 (2232)
2022-11-23T01:32:38.2880054Z              32 LOAD_CONST               3 (64)
2022-11-23T01:32:38.2880139Z              34 BUILD_LIST               3
2022-11-23T01:32:38.2880211Z              36 CALL_METHOD              2
2022-11-23T01:32:38.2880302Z              38 STORE_FAST               3 (view_1)
2022-11-23T01:32:38.2880307Z 
2022-11-23T01:32:38.2880397Z 982          40 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.2880484Z              42 LOAD_ATTR                1 (ops)
2022-11-23T01:32:38.2880572Z              44 LOAD_ATTR                2 (aten)
2022-11-23T01:32:38.2880660Z              46 LOAD_METHOD              4 (view)
2022-11-23T01:32:38.2880756Z              48 LOAD_FAST                3 (view_1)
2022-11-23T01:32:38.2880843Z              50 LOAD_CONST               1 (1)
2022-11-23T01:32:38.2880919Z              52 LOAD_CONST               4 (12)
2022-11-23T01:32:38.2881006Z              54 LOAD_CONST               5 (62)
2022-11-23T01:32:38.2881096Z              56 LOAD_CONST               6 (192)
2022-11-23T01:32:38.2881180Z              58 BUILD_LIST               4
2022-11-23T01:32:38.2881265Z              60 CALL_METHOD              2
2022-11-23T01:32:38.2881356Z              62 STORE_FAST               4 (view_2)
2022-11-23T01:32:38.2881361Z 
2022-11-23T01:32:38.2881450Z 983          64 LOAD_FAST                4 (view_2)
2022-11-23T01:32:38.2881514Z              66 RETURN_VALUE
2022-11-23T01:32:38.2881573Z  
2022-11-23T01:32:38.2881578Z 
2022-11-23T01:32:38.2881846Z [2022-11-23 01:30:04,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:980
2022-11-23T01:32:38.2882065Z [2022-11-23 01:30:04,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.2882472Z [2022-11-23 01:30:04,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.2882792Z [2022-11-23 01:30:04,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:38.2883099Z [2022-11-23 01:30:05,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.2883355Z [2022-11-23 01:30:05,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg1 [TorchVariable(aten.index)]
2022-11-23T01:32:38.2883638Z [2022-11-23 01:30:05,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg2 [TorchVariable(aten.index), TensorVariable()]
2022-11-23T01:32:38.2883941Z [2022-11-23 01:30:05,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2884236Z [2022-11-23 01:30:05,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.2884479Z [2022-11-23 01:30:05,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index [TensorVariable()]
2022-11-23T01:32:38.2884741Z [2022-11-23 01:30:05,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:981
2022-11-23T01:32:38.2884956Z [2022-11-23 01:30:05,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.2885320Z [2022-11-23 01:30:05,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.2885619Z [2022-11-23 01:30:05,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:38.2885930Z [2022-11-23 01:30:05,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.2886187Z [2022-11-23 01:30:05,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.view)]
2022-11-23T01:32:38.2886463Z [2022-11-23 01:30:05,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.view), TensorVariable()]
2022-11-23T01:32:38.2886779Z [2022-11-23 01:30:05,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2232 [TorchVariable(aten.view), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.2887118Z [2022-11-23 01:30:05,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TorchVariable(aten.view), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.2887508Z [2022-11-23 01:30:05,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.view), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.2887816Z [2022-11-23 01:30:05,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.view), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.2888060Z [2022-11-23 01:30:05,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST view_1 [TensorVariable()]
2022-11-23T01:32:38.2888323Z [2022-11-23 01:30:05,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:982
2022-11-23T01:32:38.2888537Z [2022-11-23 01:30:05,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch []
2022-11-23T01:32:38.2888895Z [2022-11-23 01:30:05,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.2889181Z [2022-11-23 01:30:05,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable(<module 'torch.ops' from '_ops.py'>)]
2022-11-23T01:32:38.2889517Z [2022-11-23 01:30:05,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(<module 'torch.ops.aten' from 'torch.ops'>)]
2022-11-23T01:32:38.2889798Z [2022-11-23 01:30:05,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view_1 [TorchVariable(aten.view)]
2022-11-23T01:32:38.2890072Z [2022-11-23 01:30:05,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.view), TensorVariable()]
2022-11-23T01:32:38.2890374Z [2022-11-23 01:30:05,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TorchVariable(aten.view), TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.2890720Z [2022-11-23 01:30:05,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 62 [TorchVariable(aten.view), TensorVariable(), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.2891107Z [2022-11-23 01:30:05,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 192 [TorchVariable(aten.view), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.2891539Z [2022-11-23 01:30:05,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [TorchVariable(aten.view), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.2891845Z [2022-11-23 01:30:05,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.view), TensorVariable(), ListVariable()]
2022-11-23T01:32:38.2892088Z [2022-11-23 01:30:05,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST view_2 [TensorVariable()]
2022-11-23T01:32:38.2892350Z [2022-11-23 01:30:05,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:983
2022-11-23T01:32:38.2892565Z [2022-11-23 01:30:05,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view_2 []
2022-11-23T01:32:38.2892810Z [2022-11-23 01:30:05,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.2893147Z [2022-11-23 01:30:05,036] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object forward at 0x7f71f6471db0, file "inductor/test_torchinductor.py", line 979>
2022-11-23T01:32:38.2893392Z [2022-11-23 01:30:05,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.2893612Z [2022-11-23 01:30:05,036] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2893865Z [2022-11-23 01:30:05,038] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2894111Z [2022-11-23 01:30:05,047] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2894297Z [2022-11-23 01:30:05,047] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2894430Z  __compiled_fn_456 <eval_with_key>.2815 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2894522Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2894607Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.2894722Z call_function, index, aten.index, (ex_0_, [ex_1_]), {}
2022-11-23T01:32:38.2894823Z call_function, view, aten.view, (index, [1, 2232, 64]), {}
2022-11-23T01:32:38.2894939Z call_function, view_1, aten.view, (view, [1, 12, 62, 192]), {}
2022-11-23T01:32:38.2895037Z output, output, output, ((view_1,),), {}
2022-11-23T01:32:38.2895042Z 
2022-11-23T01:32:38.2895317Z [2022-11-23 01:30:05,048] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2895409Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2895501Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2895594Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2895683Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2895747Z               8 RETURN_VALUE
2022-11-23T01:32:38.2895783Z 
2022-11-23T01:32:38.2895844Z  
2022-11-23T01:32:38.2896112Z [2022-11-23 01:30:05,048] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2896220Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_456)
2022-11-23T01:32:38.2896340Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2896430Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2896506Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2896582Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2896669Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2896744Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.2896832Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.2896922Z              16 UNPACK_SEQUENCE          1
2022-11-23T01:32:38.2896996Z              18 RETURN_VALUE
2022-11-23T01:32:38.2897001Z 
2022-11-23T01:32:38.2897061Z  
2022-11-23T01:32:38.2897241Z [2022-11-23 01:30:05,049] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2897299Z  - 
2022-11-23T01:32:38.2897417Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2897479Z             {
2022-11-23T01:32:38.2897618Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2897804Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.2897923Z                 'obj_weakref': None
2022-11-23T01:32:38.2898148Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2898199Z             }
2022-11-23T01:32:38.2898261Z             
2022-11-23T01:32:38.2898330Z  - 
2022-11-23T01:32:38.2898454Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2898521Z             {
2022-11-23T01:32:38.2898662Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2898770Z                 'code': None,
2022-11-23T01:32:38.2898964Z                 'obj_weakref': <weakref at 0x7f71060d9950; to 'Tensor' at 0x7f710cd87fb0>
2022-11-23T01:32:38.2899213Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2899275Z             }
2022-11-23T01:32:38.2899339Z             
2022-11-23T01:32:38.2899406Z  - 
2022-11-23T01:32:38.2899529Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.2899591Z             {
2022-11-23T01:32:38.2899720Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2899825Z                 'code': None,
2022-11-23T01:32:38.2900033Z                 'obj_weakref': <weakref at 0x7f710cd89cb0; to 'Tensor' at 0x7f710cd87650>
2022-11-23T01:32:38.2900276Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2900340Z             }
2022-11-23T01:32:38.2900402Z             
2022-11-23T01:32:38.2900468Z  - 
2022-11-23T01:32:38.2900587Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2900650Z             {
2022-11-23T01:32:38.2900784Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2900950Z                 'code': ['___check_obj_id(model, 140124018165664)'],
2022-11-23T01:32:38.2901067Z                 'obj_weakref': None
2022-11-23T01:32:38.2901294Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2901357Z             }
2022-11-23T01:32:38.2901407Z             
2022-11-23T01:32:38.2901475Z  - 
2022-11-23T01:32:38.2901595Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2901658Z             {
2022-11-23T01:32:38.2901793Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2902007Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2902126Z                 'obj_weakref': None
2022-11-23T01:32:38.2902329Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2902422Z             }
2022-11-23T01:32:38.2902483Z             
2022-11-23T01:32:38.2902551Z  - 
2022-11-23T01:32:38.2902683Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.2902746Z             {
2022-11-23T01:32:38.2902865Z                 'guard_types': None,
2022-11-23T01:32:38.2902991Z                 'code': None,
2022-11-23T01:32:38.2903108Z                 'obj_weakref': None
2022-11-23T01:32:38.2903228Z                 'guarded_class': None
2022-11-23T01:32:38.2903293Z             }
2022-11-23T01:32:38.2903355Z             
2022-11-23T01:32:38.2903612Z [2022-11-23 01:30:05,062] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 448
2022-11-23T01:32:38.2903977Z [2022-11-23 01:30:07,676] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yo/cyop4pjpiddm4k6remxfjk62f776iv7fn4fqs2e45ktnlx7hphim.py
2022-11-23T01:32:38.2904228Z [2022-11-23 01:30:07,677] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 448
2022-11-23T01:32:38.2904248Z 
2022-11-23T01:32:38.2904329Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2904398Z import torch
2022-11-23T01:32:38.2904550Z import random
2022-11-23T01:32:38.2904668Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2904793Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2904798Z 
2022-11-23T01:32:38.2904876Z aten = torch.ops.aten
2022-11-23T01:32:38.2905015Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2905094Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2905098Z 
2022-11-23T01:32:38.2905103Z 
2022-11-23T01:32:38.2905239Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2905443Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2905561Z extern "C" void kernel(const long* __restrict__ in_ptr0,
2022-11-23T01:32:38.2905666Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.2905767Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.2905828Z {
2022-11-23T01:32:38.2905912Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2906026Z     {
2022-11-23T01:32:38.2906103Z         #pragma omp for 
2022-11-23T01:32:38.2906187Z         for(long i0=0; i0<2232; i0+=1)
2022-11-23T01:32:38.2906252Z         {
2022-11-23T01:32:38.2906332Z             #pragma GCC ivdep
2022-11-23T01:32:38.2906419Z             for(long i1=0; i1<64; i1+=1)
2022-11-23T01:32:38.2906469Z             {
2022-11-23T01:32:38.2906534Z                 {
2022-11-23T01:32:38.2906603Z                     {
2022-11-23T01:32:38.2906697Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2906801Z                         auto tmp1 = in_ptr1[i1 + (64*tmp0)];
2022-11-23T01:32:38.2906894Z                         out_ptr0[i1 + (64*i0)] = tmp1;
2022-11-23T01:32:38.2906961Z                     }
2022-11-23T01:32:38.2907013Z                 }
2022-11-23T01:32:38.2907076Z             }
2022-11-23T01:32:38.2907141Z         }
2022-11-23T01:32:38.2907203Z     }
2022-11-23T01:32:38.2907264Z }
2022-11-23T01:32:38.2907343Z ''')
2022-11-23T01:32:38.2907348Z 
2022-11-23T01:32:38.2907352Z 
2022-11-23T01:32:38.2907443Z async_compile.wait(globals())
2022-11-23T01:32:38.2907501Z del async_compile
2022-11-23T01:32:38.2907508Z 
2022-11-23T01:32:38.2907579Z def call(args):
2022-11-23T01:32:38.2907655Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.2907727Z     args.clear()
2022-11-23T01:32:38.2907928Z     buf0 = empty_strided((2232, 64), (64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2908092Z     kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2908161Z     del arg0_1
2022-11-23T01:32:38.2908215Z     del arg1_1
2022-11-23T01:32:38.2908328Z     return (as_strided(buf0, (1, 12, 62, 192), (0, 11904, 192, 1)), )
2022-11-23T01:32:38.2908333Z 
2022-11-23T01:32:38.2908337Z 
2022-11-23T01:32:38.2908414Z if __name__ == "__main__":
2022-11-23T01:32:38.2908570Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2908693Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2908893Z     arg0_1 = rand_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2909116Z     arg1_1 = rand_strided((2232, ), (1, ), device='cpu', dtype=torch.int64)
2022-11-23T01:32:38.2909232Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.2909237Z 
2022-11-23T01:32:38.2909306Z ok (2.768s)
2022-11-23T01:32:38.2909626Z   test_zero_dim_reductions_cpu (__main__.CpuTests) ... [2022-11-23 01:30:07,840] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing <lambda>
2022-11-23T01:32:38.2909842Z [2022-11-23 01:30:07,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF fn []
2022-11-23T01:32:38.2910094Z [2022-11-23 01:30:07,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.all)]
2022-11-23T01:32:38.2910381Z [2022-11-23 01:30:07,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.all), TupleVariable()]
2022-11-23T01:32:38.2910629Z [2022-11-23 01:30:07,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.2910877Z [2022-11-23 01:30:07,844] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing <lambda>
2022-11-23T01:32:38.2911116Z [2022-11-23 01:30:07,845] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:38.2911354Z [2022-11-23 01:30:07,849] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:38.2911543Z [2022-11-23 01:30:07,850] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2911665Z  __compiled_fn_457 <eval_with_key>.2821 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2911754Z placeholder, x_0_, x_0_, (), {}
2022-11-23T01:32:38.2911865Z call_function, all_1, aten.all, (x_0_, 1, True), {}
2022-11-23T01:32:38.2911965Z output, output, output, ((all_1,),), {}
2022-11-23T01:32:38.2911970Z 
2022-11-23T01:32:38.2912258Z [2022-11-23 01:30:07,850] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE <lambda> inductor/test_torchinductor.py line 4521 
2022-11-23T01:32:38.2912352Z 4521           0 LOAD_DEREF               0 (fn)
2022-11-23T01:32:38.2912448Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2912530Z                4 CALL_FUNCTION_EX         0
2022-11-23T01:32:38.2912607Z                6 RETURN_VALUE
2022-11-23T01:32:38.2912612Z 
2022-11-23T01:32:38.2912674Z  
2022-11-23T01:32:38.2912959Z [2022-11-23 01:30:07,850] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE <lambda> inductor/test_torchinductor.py line 4521 
2022-11-23T01:32:38.2913068Z 4521           0 LOAD_GLOBAL              0 (__compiled_fn_457)
2022-11-23T01:32:38.2913160Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2913251Z                4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2913335Z                6 BINARY_SUBSCR
2022-11-23T01:32:38.2913412Z                8 CALL_FUNCTION            1
2022-11-23T01:32:38.2913505Z               10 UNPACK_SEQUENCE          1
2022-11-23T01:32:38.2913582Z               12 RETURN_VALUE
2022-11-23T01:32:38.2913587Z 
2022-11-23T01:32:38.2913649Z  
2022-11-23T01:32:38.2913834Z [2022-11-23 01:30:07,852] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2913906Z  - 
2022-11-23T01:32:38.2914023Z             local 'x' LIST_LENGTH
2022-11-23T01:32:38.2914075Z             {
2022-11-23T01:32:38.2914216Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2914394Z                 'code': ['___check_type_id(x, 94279403893920)', 'len(x) == 3'],
2022-11-23T01:32:38.2914510Z                 'obj_weakref': None
2022-11-23T01:32:38.2914732Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2914796Z             }
2022-11-23T01:32:38.2914859Z             
2022-11-23T01:32:38.2914943Z  - 
2022-11-23T01:32:38.2915066Z             local 'fn' FUNCTION_MATCH
2022-11-23T01:32:38.2915128Z             {
2022-11-23T01:32:38.2915263Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2915422Z                 'code': ['___check_obj_id(fn, 140126619519504)'],
2022-11-23T01:32:38.2915682Z                 'obj_weakref': <weakref at 0x7f710673eb90; to 'OpOverloadPacket' at 0x7f71c5614a10>
2022-11-23T01:32:38.2915927Z                 'guarded_class': <weakref at 0x7f71ce12a590; to 'type' at 0x6190009cb8a0 (OpOverloadPacket)>
2022-11-23T01:32:38.2915991Z             }
2022-11-23T01:32:38.2916042Z             
2022-11-23T01:32:38.2916109Z  - 
2022-11-23T01:32:38.2916232Z             local 'x[0]' TENSOR_MATCH
2022-11-23T01:32:38.2916294Z             {
2022-11-23T01:32:38.2916435Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2916540Z                 'code': None,
2022-11-23T01:32:38.2916732Z                 'obj_weakref': <weakref at 0x7f7104e60590; to 'Tensor' at 0x7f70f2962350>
2022-11-23T01:32:38.2916978Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2917041Z             }
2022-11-23T01:32:38.2917203Z             
2022-11-23T01:32:38.2917274Z  - 
2022-11-23T01:32:38.2917400Z             local 'x[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2917464Z             {
2022-11-23T01:32:38.2917592Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2917772Z                 'code': ['___check_type_id(x[1], 94279403915040)', 'x[1] == 1'],
2022-11-23T01:32:38.2917889Z                 'obj_weakref': None
2022-11-23T01:32:38.2918107Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2918170Z             }
2022-11-23T01:32:38.2918234Z             
2022-11-23T01:32:38.2918301Z  - 
2022-11-23T01:32:38.2918411Z             local 'x[2]' CONSTANT_MATCH
2022-11-23T01:32:38.2918474Z             {
2022-11-23T01:32:38.2918612Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2918776Z                 'code': ['___check_obj_id(x[2], 94279403954944)'],
2022-11-23T01:32:38.2918893Z                 'obj_weakref': None
2022-11-23T01:32:38.2919114Z                 'guarded_class': <weakref at 0x7f71f667d230; to 'type' at 0x55bf2261e140 (bool)>
2022-11-23T01:32:38.2919178Z             }
2022-11-23T01:32:38.2919227Z             
2022-11-23T01:32:38.2919488Z [2022-11-23 01:30:07,861] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 449
2022-11-23T01:32:38.2919857Z [2022-11-23 01:30:10,409] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k5/ck5ls2geoszjb5mbnwsym2l3clskycdqdr5kcxxgq3cthzekd5bd.py
2022-11-23T01:32:38.2920122Z [2022-11-23 01:30:10,410] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 449
2022-11-23T01:32:38.2920364Z [2022-11-23 01:30:10,509] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing <lambda>
2022-11-23T01:32:38.2920577Z [2022-11-23 01:30:10,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF fn []
2022-11-23T01:32:38.2920824Z [2022-11-23 01:30:10,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.all)]
2022-11-23T01:32:38.2921112Z [2022-11-23 01:30:10,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.all), TupleVariable()]
2022-11-23T01:32:38.2921356Z [2022-11-23 01:30:10,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()]
2022-11-23T01:32:38.2921596Z [2022-11-23 01:30:10,512] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing <lambda>
2022-11-23T01:32:38.2921821Z [2022-11-23 01:30:10,514] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx
2022-11-23T01:32:38.2922056Z [2022-11-23 01:30:10,518] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx
2022-11-23T01:32:38.2922241Z [2022-11-23 01:30:10,519] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2922426Z  __compiled_fn_458 <eval_with_key>.2827 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2922513Z placeholder, x_0_, x_0_, (), {}
2022-11-23T01:32:38.2922625Z call_function, all_1, aten.all, (x_0_, 1, False), {}
2022-11-23T01:32:38.2922769Z output, output, output, ((all_1,),), {}
2022-11-23T01:32:38.2922775Z 
2022-11-23T01:32:38.2923061Z [2022-11-23 01:30:10,519] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE <lambda> inductor/test_torchinductor.py line 4521 
2022-11-23T01:32:38.2923142Z 4521           0 LOAD_DEREF               0 (fn)
2022-11-23T01:32:38.2923233Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2923325Z                4 CALL_FUNCTION_EX         0
2022-11-23T01:32:38.2923401Z                6 RETURN_VALUE
2022-11-23T01:32:38.2923407Z 
2022-11-23T01:32:38.2923469Z  
2022-11-23T01:32:38.2923755Z [2022-11-23 01:30:10,519] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE <lambda> inductor/test_torchinductor.py line 4521 
2022-11-23T01:32:38.2923864Z 4521           0 LOAD_GLOBAL              0 (__compiled_fn_458)
2022-11-23T01:32:38.2923954Z                2 LOAD_FAST                0 (x)
2022-11-23T01:32:38.2924030Z                4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2924109Z                6 BINARY_SUBSCR
2022-11-23T01:32:38.2924199Z                8 CALL_FUNCTION            1
2022-11-23T01:32:38.2924292Z               10 UNPACK_SEQUENCE          1
2022-11-23T01:32:38.2924367Z               12 RETURN_VALUE
2022-11-23T01:32:38.2924372Z 
2022-11-23T01:32:38.2924433Z  
2022-11-23T01:32:38.2924614Z [2022-11-23 01:30:10,521] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2924670Z  - 
2022-11-23T01:32:38.2924786Z             local 'x' LIST_LENGTH
2022-11-23T01:32:38.2924851Z             {
2022-11-23T01:32:38.2924989Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2925169Z                 'code': ['___check_type_id(x, 94279403893920)', 'len(x) == 3'],
2022-11-23T01:32:38.2925289Z                 'obj_weakref': None
2022-11-23T01:32:38.2925511Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2925563Z             }
2022-11-23T01:32:38.2925625Z             
2022-11-23T01:32:38.2925693Z  - 
2022-11-23T01:32:38.2925821Z             local 'fn' FUNCTION_MATCH
2022-11-23T01:32:38.2925885Z             {
2022-11-23T01:32:38.2926018Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2926177Z                 'code': ['___check_obj_id(fn, 140126619519504)'],
2022-11-23T01:32:38.2926397Z                 'obj_weakref': <weakref at 0x7f710673eb90; to 'OpOverloadPacket' at 0x7f71c5614a10>
2022-11-23T01:32:38.2926641Z                 'guarded_class': <weakref at 0x7f71ce12a590; to 'type' at 0x6190009cb8a0 (OpOverloadPacket)>
2022-11-23T01:32:38.2926704Z             }
2022-11-23T01:32:38.2926766Z             
2022-11-23T01:32:38.2926836Z  - 
2022-11-23T01:32:38.2926958Z             local 'x[0]' TENSOR_MATCH
2022-11-23T01:32:38.2927022Z             {
2022-11-23T01:32:38.2927150Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2927255Z                 'code': None,
2022-11-23T01:32:38.2927464Z                 'obj_weakref': <weakref at 0x7f70f2d724d0; to 'Tensor' at 0x7f7106d27ad0>
2022-11-23T01:32:38.2927713Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2927776Z             }
2022-11-23T01:32:38.2927839Z             
2022-11-23T01:32:38.2927906Z  - 
2022-11-23T01:32:38.2928021Z             local 'x[1]' CONSTANT_MATCH
2022-11-23T01:32:38.2928082Z             {
2022-11-23T01:32:38.2928221Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2928403Z                 'code': ['___check_type_id(x[1], 94279403915040)', 'x[1] == 1'],
2022-11-23T01:32:38.2928520Z                 'obj_weakref': None
2022-11-23T01:32:38.2928735Z                 'guarded_class': <weakref at 0x7f71f667ee90; to 'type' at 0x55bf22614720 (int)>
2022-11-23T01:32:38.2928828Z             }
2022-11-23T01:32:38.2928879Z             
2022-11-23T01:32:38.2928946Z  - 
2022-11-23T01:32:38.2929071Z             local 'x[2]' CONSTANT_MATCH
2022-11-23T01:32:38.2929134Z             {
2022-11-23T01:32:38.2929298Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2929462Z                 'code': ['___check_obj_id(x[2], 94279403954912)'],
2022-11-23T01:32:38.2929579Z                 'obj_weakref': None
2022-11-23T01:32:38.2929785Z                 'guarded_class': <weakref at 0x7f71f667d230; to 'type' at 0x55bf2261e140 (bool)>
2022-11-23T01:32:38.2929846Z             }
2022-11-23T01:32:38.2929908Z             
2022-11-23T01:32:38.2930165Z [2022-11-23 01:30:10,531] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 450
2022-11-23T01:32:38.2930531Z [2022-11-23 01:30:10,540] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tu/ctuio7q7xpih2b4rysiuyjt2n3kdggb7rzbetwhb6ppwfsioeklc.py
2022-11-23T01:32:38.2930793Z [2022-11-23 01:30:10,540] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 450
2022-11-23T01:32:38.2930799Z 
2022-11-23T01:32:38.2930893Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2930962Z import torch
2022-11-23T01:32:38.2931020Z import random
2022-11-23T01:32:38.2931134Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2931254Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2931260Z 
2022-11-23T01:32:38.2931337Z aten = torch.ops.aten
2022-11-23T01:32:38.2931470Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2931561Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2931566Z 
2022-11-23T01:32:38.2931571Z 
2022-11-23T01:32:38.2931703Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2931906Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2932007Z extern "C" void kernel(bool* __restrict__ out_ptr0)
2022-11-23T01:32:38.2932067Z {
2022-11-23T01:32:38.2932142Z     #pragma GCC ivdep
2022-11-23T01:32:38.2932222Z     for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:38.2932283Z     {
2022-11-23T01:32:38.2932345Z         {
2022-11-23T01:32:38.2932408Z             {
2022-11-23T01:32:38.2932502Z                 auto tmp0 = static_cast<bool>(false);
2022-11-23T01:32:38.2932584Z                 auto tmp1 = tmp0 == 0;
2022-11-23T01:32:38.2932665Z                 out_ptr0[i0] = tmp1;
2022-11-23T01:32:38.2932728Z             }
2022-11-23T01:32:38.2932790Z         }
2022-11-23T01:32:38.2932851Z     }
2022-11-23T01:32:38.2932898Z }
2022-11-23T01:32:38.2932974Z ''')
2022-11-23T01:32:38.2932980Z 
2022-11-23T01:32:38.2932984Z 
2022-11-23T01:32:38.2933073Z async_compile.wait(globals())
2022-11-23T01:32:38.2933145Z del async_compile
2022-11-23T01:32:38.2933150Z 
2022-11-23T01:32:38.2933219Z def call(args):
2022-11-23T01:32:38.2933289Z     arg0_1, = args
2022-11-23T01:32:38.2933361Z     args.clear()
2022-11-23T01:32:38.2933546Z     buf0 = empty_strided((2, 1), (1, 1), device='cpu', dtype=torch.bool)
2022-11-23T01:32:38.2933636Z     kernel_cpp_0(c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2933707Z     return (buf0, )
2022-11-23T01:32:38.2933712Z 
2022-11-23T01:32:38.2933716Z 
2022-11-23T01:32:38.2933792Z if __name__ == "__main__":
2022-11-23T01:32:38.2933903Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2934026Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2934220Z     arg0_1 = rand_strided((2, 0), (1, 1), device='cpu', dtype=torch.float16)
2022-11-23T01:32:38.2934327Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.2934331Z 
2022-11-23T01:32:38.2934335Z 
2022-11-23T01:32:38.2934426Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2934482Z import torch
2022-11-23T01:32:38.2934553Z import random
2022-11-23T01:32:38.2934666Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2934814Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2934819Z 
2022-11-23T01:32:38.2934895Z aten = torch.ops.aten
2022-11-23T01:32:38.2935028Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2935118Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2935123Z 
2022-11-23T01:32:38.2935155Z 
2022-11-23T01:32:38.2935286Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2935476Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2935585Z extern "C" void kernel(bool* __restrict__ out_ptr0)
2022-11-23T01:32:38.2935644Z {
2022-11-23T01:32:38.2935720Z     #pragma GCC ivdep
2022-11-23T01:32:38.2935799Z     for(long i0=0; i0<2; i0+=1)
2022-11-23T01:32:38.2935859Z     {
2022-11-23T01:32:38.2935921Z         {
2022-11-23T01:32:38.2935971Z             {
2022-11-23T01:32:38.2936074Z                 auto tmp0 = static_cast<bool>(false);
2022-11-23T01:32:38.2936156Z                 auto tmp1 = tmp0 == 0;
2022-11-23T01:32:38.2936242Z                 out_ptr0[i0] = tmp1;
2022-11-23T01:32:38.2936304Z             }
2022-11-23T01:32:38.2936366Z         }
2022-11-23T01:32:38.2936414Z     }
2022-11-23T01:32:38.2936473Z }
2022-11-23T01:32:38.2936549Z ''')
2022-11-23T01:32:38.2936554Z 
2022-11-23T01:32:38.2936558Z 
2022-11-23T01:32:38.2936647Z async_compile.wait(globals())
2022-11-23T01:32:38.2936720Z del async_compile
2022-11-23T01:32:38.2936725Z 
2022-11-23T01:32:38.2936795Z def call(args):
2022-11-23T01:32:38.2936863Z     arg0_1, = args
2022-11-23T01:32:38.2936933Z     args.clear()
2022-11-23T01:32:38.2937102Z     buf0 = empty_strided((2, ), (1, ), device='cpu', dtype=torch.bool)
2022-11-23T01:32:38.2937203Z     kernel_cpp_0(c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.2937275Z     return (buf0, )
2022-11-23T01:32:38.2937281Z 
2022-11-23T01:32:38.2937285Z 
2022-11-23T01:32:38.2937359Z if __name__ == "__main__":
2022-11-23T01:32:38.2937472Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2937594Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2937786Z     arg0_1 = rand_strided((2, 0), (1, 1), device='cpu', dtype=torch.float16)
2022-11-23T01:32:38.2937879Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.2937896Z 
2022-11-23T01:32:38.2937953Z ok (2.798s)
2022-11-23T01:32:38.2938254Z   test_zeros_cpu (__main__.CpuTests) ... [2022-11-23 01:30:10,550] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2938525Z [2022-11-23 01:30:10,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2938741Z [2022-11-23 01:30:10,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2938992Z [2022-11-23 01:30:10,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2939275Z [2022-11-23 01:30:10,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2939599Z [2022-11-23 01:30:10,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2939925Z [2022-11-23 01:30:10,551] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object fn at 0x7f71f6423660, file "inductor/test_torchinductor.py", line 2769> 
2022-11-23T01:32:38.2940018Z  2771           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.2940097Z                2 LOAD_CONST               1 (1)
2022-11-23T01:32:38.2940169Z                4 BINARY_ADD
2022-11-23T01:32:38.2940175Z 
2022-11-23T01:32:38.2940268Z 2772           6 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.2940358Z                8 LOAD_ATTR                1 (zeros)
2022-11-23T01:32:38.2940363Z 
2022-11-23T01:32:38.2940459Z 2773          10 LOAD_CONST               2 ((1, 8, 64, 64))
2022-11-23T01:32:38.2940464Z 
2022-11-23T01:32:38.2940556Z 2774          12 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.2940685Z               14 LOAD_ATTR                2 (float32)
2022-11-23T01:32:38.2940690Z 
2022-11-23T01:32:38.2940778Z 2775          16 LOAD_FAST                0 (a)
2022-11-23T01:32:38.2940858Z               18 LOAD_ATTR                3 (device)
2022-11-23T01:32:38.2941046Z               20 LOAD_CONST               3 (('dtype', 'device'))
2022-11-23T01:32:38.2941141Z               22 CALL_FUNCTION_KW         3
2022-11-23T01:32:38.2941146Z 
2022-11-23T01:32:38.2941236Z 2777          24 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.2941325Z               26 LOAD_ATTR                1 (zeros)
2022-11-23T01:32:38.2941330Z 
2022-11-23T01:32:38.2941418Z 2778          28 LOAD_CONST               1 (1)
2022-11-23T01:32:38.2941423Z 
2022-11-23T01:32:38.2941511Z 2779          30 LOAD_CONST               4 (8)
2022-11-23T01:32:38.2941516Z 
2022-11-23T01:32:38.2941603Z 2780          32 LOAD_CONST               5 (64)
2022-11-23T01:32:38.2941608Z 
2022-11-23T01:32:38.2941699Z 2781          34 LOAD_CONST               5 (64)
2022-11-23T01:32:38.2941703Z 
2022-11-23T01:32:38.2941781Z 2782          36 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.2941873Z               38 LOAD_ATTR                2 (float32)
2022-11-23T01:32:38.2941878Z 
2022-11-23T01:32:38.2941966Z 2783          40 LOAD_FAST                0 (a)
2022-11-23T01:32:38.2942058Z               42 LOAD_ATTR                3 (device)
2022-11-23T01:32:38.2942222Z               44 LOAD_CONST               3 (('dtype', 'device'))
2022-11-23T01:32:38.2942314Z               46 CALL_FUNCTION_KW         6
2022-11-23T01:32:38.2942319Z 
2022-11-23T01:32:38.2942408Z 2785          48 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.2942496Z               50 LOAD_ATTR                1 (zeros)
2022-11-23T01:32:38.2942570Z               52 LOAD_CONST               6 (2)
2022-11-23T01:32:38.2942659Z               54 LOAD_CONST               7 (3)
2022-11-23T01:32:38.2942749Z               56 LOAD_CONST               0 (None)
2022-11-23T01:32:38.2942898Z               58 LOAD_CONST               8 (('names',))
2022-11-23T01:32:38.2942989Z               60 CALL_FUNCTION_KW         3
2022-11-23T01:32:38.2942994Z 
2022-11-23T01:32:38.2943081Z 2786          62 LOAD_FAST                0 (a)
2022-11-23T01:32:38.2943172Z               64 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.2943261Z               66 LOAD_ATTR                4 (ones)
2022-11-23T01:32:38.2943335Z               68 LOAD_CONST               4 (8)
2022-11-23T01:32:38.2943423Z               70 LOAD_FAST                0 (a)
2022-11-23T01:32:38.2943516Z               72 LOAD_ATTR                3 (device)
2022-11-23T01:32:38.2943666Z               74 LOAD_CONST               9 (('device',))
2022-11-23T01:32:38.2943757Z               76 CALL_FUNCTION_KW         2
2022-11-23T01:32:38.2943835Z               78 BINARY_ADD
2022-11-23T01:32:38.2943840Z 
2022-11-23T01:32:38.2943933Z 2787          80 LOAD_GLOBAL              0 (torch)
2022-11-23T01:32:38.2944013Z               82 LOAD_ATTR                5 (full)
2022-11-23T01:32:38.2944106Z               84 LOAD_CONST              10 ((2, 3))
2022-11-23T01:32:38.2944196Z               86 LOAD_CONST              11 (3.1416)
2022-11-23T01:32:38.2944288Z               88 LOAD_FAST                0 (a)
2022-11-23T01:32:38.2944385Z               90 LOAD_ATTR                3 (device)
2022-11-23T01:32:38.2944607Z               92 LOAD_CONST               9 (('device',))
2022-11-23T01:32:38.2944703Z               94 CALL_FUNCTION_KW         3
2022-11-23T01:32:38.2944793Z               96 BUILD_TUPLE              6
2022-11-23T01:32:38.2944855Z               98 RETURN_VALUE
2022-11-23T01:32:38.2944916Z  
2022-11-23T01:32:38.2944921Z 
2022-11-23T01:32:38.2945195Z [2022-11-23 01:30:10,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2771
2022-11-23T01:32:38.2945407Z [2022-11-23 01:30:10,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.2945688Z [2022-11-23 01:30:10,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()]
2022-11-23T01:32:38.2945968Z [2022-11-23 01:30:10,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)]
2022-11-23T01:32:38.2946261Z [2022-11-23 01:30:10,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2772
2022-11-23T01:32:38.2946508Z [2022-11-23 01:30:10,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()]
2022-11-23T01:32:38.2946890Z [2022-11-23 01:30:10,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros [TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.2947156Z [2022-11-23 01:30:10,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2773
2022-11-23T01:32:38.2947521Z [2022-11-23 01:30:10,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 8, 64, 64) [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.2947792Z [2022-11-23 01:30:10,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2774
2022-11-23T01:32:38.2948194Z [2022-11-23 01:30:10,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f71f2abebc0>), ConstantVariable(tuple)]
2022-11-23T01:32:38.2948744Z [2022-11-23 01:30:10,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f71f2abebc0>), ConstantVariable(tuple), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.2949012Z [2022-11-23 01:30:10,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2775
2022-11-23T01:32:38.2949447Z [2022-11-23 01:30:10,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f71f2abebc0>), ConstantVariable(tuple), ConstantVariable(dtype)]
2022-11-23T01:32:38.2949914Z [2022-11-23 01:30:10,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f71f2abebc0>), ConstantVariable(tuple), ConstantVariable(dtype), TensorVariable()]
2022-11-23T01:32:38.2950406Z [2022-11-23 01:30:10,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f71f2abebc0>), ConstantVariable(tuple), ConstantVariable(dtype), TorchVariable(cpu)]
2022-11-23T01:32:38.2950923Z [2022-11-23 01:30:10,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f71f2abebc0>), ConstantVariable(tuple), ConstantVariable(dtype), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:38.2951195Z [2022-11-23 01:30:10,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2777
2022-11-23T01:32:38.2951473Z [2022-11-23 01:30:10,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2951896Z [2022-11-23 01:30:10,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros [TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.2952162Z [2022-11-23 01:30:10,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2778
2022-11-23T01:32:38.2952527Z [2022-11-23 01:30:10,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.2952956Z [2022-11-23 01:30:10,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2779
2022-11-23T01:32:38.2953443Z [2022-11-23 01:30:10,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f71f2abebc0>), ConstantVariable(int)]
2022-11-23T01:32:38.2953711Z [2022-11-23 01:30:10,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2780
2022-11-23T01:32:38.2954169Z [2022-11-23 01:30:10,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.2954434Z [2022-11-23 01:30:10,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2781
2022-11-23T01:32:38.2954927Z [2022-11-23 01:30:10,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.2955197Z [2022-11-23 01:30:10,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2782
2022-11-23T01:32:38.2955738Z [2022-11-23 01:30:10,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.2956421Z [2022-11-23 01:30:10,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.2956691Z [2022-11-23 01:30:10,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2783
2022-11-23T01:32:38.2957383Z [2022-11-23 01:30:10,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype)]
2022-11-23T01:32:38.2958116Z [2022-11-23 01:30:10,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TensorVariable()]
2022-11-23T01:32:38.2958757Z [2022-11-23 01:30:10,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu)]
2022-11-23T01:32:38.2959418Z [2022-11-23 01:30:10,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:38.2959684Z [2022-11-23 01:30:10,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2785
2022-11-23T01:32:38.2959994Z [2022-11-23 01:30:10,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2960513Z [2022-11-23 01:30:10,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.2960955Z [2022-11-23 01:30:10,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.2961385Z [2022-11-23 01:30:10,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f71f2abebc0>), ConstantVariable(int)]
2022-11-23T01:32:38.2961872Z [2022-11-23 01:30:10,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(int)]
2022-11-23T01:32:38.2962414Z [2022-11-23 01:30:10,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('names',) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType)]
2022-11-23T01:32:38.2962998Z [2022-11-23 01:30:10,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method zeros of type object at 0x7f71f2abebc0>), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(tuple)]
2022-11-23T01:32:38.2963266Z [2022-11-23 01:30:10,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2786
2022-11-23T01:32:38.2963588Z [2022-11-23 01:30:10,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2963948Z [2022-11-23 01:30:10,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2964463Z [2022-11-23 01:30:10,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.2964923Z [2022-11-23 01:30:10,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.2965421Z [2022-11-23 01:30:10,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7f71f2abebc0>), ConstantVariable(int)]
2022-11-23T01:32:38.2965959Z [2022-11-23 01:30:10,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7f71f2abebc0>), ConstantVariable(int), TensorVariable()]
2022-11-23T01:32:38.2966503Z [2022-11-23 01:30:10,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7f71f2abebc0>), ConstantVariable(int), TorchVariable(cpu)]
2022-11-23T01:32:38.2967085Z [2022-11-23 01:30:10,569] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method ones of type object at 0x7f71f2abebc0>), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:38.2967501Z [2022-11-23 01:30:10,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2967806Z [2022-11-23 01:30:10,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2787
2022-11-23T01:32:38.2968164Z [2022-11-23 01:30:10,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2968671Z [2022-11-23 01:30:10,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR full [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<module 'torch' from '/opt/conda/lib/python3.7/site-packages/torch/__init__.py'>)]
2022-11-23T01:32:38.2969136Z [2022-11-23 01:30:10,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 3) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7f71f2abebc0>)]
2022-11-23T01:32:38.2969642Z [2022-11-23 01:30:10,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.1416 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7f71f2abebc0>), ConstantVariable(tuple)]
2022-11-23T01:32:38.2970184Z [2022-11-23 01:30:10,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7f71f2abebc0>), ConstantVariable(tuple), ConstantVariable(float)]
2022-11-23T01:32:38.2970760Z [2022-11-23 01:30:10,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7f71f2abebc0>), ConstantVariable(tuple), ConstantVariable(float), TensorVariable()]
2022-11-23T01:32:38.2971348Z [2022-11-23 01:30:10,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7f71f2abebc0>), ConstantVariable(tuple), ConstantVariable(float), TorchVariable(cpu)]
2022-11-23T01:32:38.2971969Z [2022-11-23 01:30:10,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(<built-in method full of type object at 0x7f71f2abebc0>), ConstantVariable(tuple), ConstantVariable(float), TorchVariable(cpu), ConstantVariable(tuple)]
2022-11-23T01:32:38.2972349Z [2022-11-23 01:30:10,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 6 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.2972597Z [2022-11-23 01:30:10,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2972914Z [2022-11-23 01:30:10,577] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object fn at 0x7f71f6423660, file "inductor/test_torchinductor.py", line 2769>
2022-11-23T01:32:38.2973157Z [2022-11-23 01:30:10,577] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.2973389Z [2022-11-23 01:30:10,577] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.2973641Z [2022-11-23 01:30:10,580] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.2973890Z [2022-11-23 01:30:10,593] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.2974107Z [2022-11-23 01:30:10,593] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.2974242Z  __compiled_fn_459 <eval_with_key>.2833 opcode, name, target, args, kwargs
2022-11-23T01:32:38.2974333Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.2974493Z call_function, add, <built-in function add>, (ex_0_, 1), {}
2022-11-23T01:32:38.2974836Z call_function, zeros, <built-in method zeros of type object at 0x7f71f2abebc0>, ((1, 8, 64, 64),), {'dtype': torch.float32, 'device': device(type='cpu')}
2022-11-23T01:32:38.2975159Z call_function, zeros_1, <built-in method zeros of type object at 0x7f71f2abebc0>, (1, 8, 64, 64), {'dtype': torch.float32, 'device': device(type='cpu')}
2022-11-23T01:32:38.2975403Z call_function, zeros_2, <built-in method zeros of type object at 0x7f71f2abebc0>, (2, 3), {'names': None}
2022-11-23T01:32:38.2975662Z call_function, ones, <built-in method ones of type object at 0x7f71f2abebc0>, (8,), {'device': device(type='cpu')}
2022-11-23T01:32:38.2975838Z call_function, add_1, <built-in function add>, (ex_0_, ones), {}
2022-11-23T01:32:38.2976111Z call_function, full, <built-in method full of type object at 0x7f71f2abebc0>, ((2, 3), 3.1416), {'device': device(type='cpu')}
2022-11-23T01:32:38.2976243Z output, output, output, ((add, zeros, zeros_1, zeros_2, add_1, full),), {}
2022-11-23T01:32:38.2976255Z 
2022-11-23T01:32:38.2976535Z [2022-11-23 01:30:10,594] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2976628Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.2976706Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2976799Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.2976889Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.2976964Z               8 RETURN_VALUE
2022-11-23T01:32:38.2976969Z 
2022-11-23T01:32:38.2977029Z  
2022-11-23T01:32:38.2977300Z [2022-11-23 01:30:10,594] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.2977410Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_459)
2022-11-23T01:32:38.2977489Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.2977578Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2977656Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.2977743Z               8 CALL_FUNCTION            1
2022-11-23T01:32:38.2977846Z              10 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.2977945Z              12 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2978033Z              14 LOAD_CONST               1 (0)
2022-11-23T01:32:38.2978109Z              16 BINARY_SUBSCR
2022-11-23T01:32:38.2978197Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2978283Z              20 LOAD_CONST               2 (1)
2022-11-23T01:32:38.2978362Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.2978460Z              24 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2978550Z              26 LOAD_CONST               3 (2)
2022-11-23T01:32:38.2978623Z              28 BINARY_SUBSCR
2022-11-23T01:32:38.2978723Z              30 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2978798Z              32 LOAD_CONST               4 (3)
2022-11-23T01:32:38.2978875Z              34 BINARY_SUBSCR
2022-11-23T01:32:38.2978974Z              36 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2979059Z              38 LOAD_CONST               5 (4)
2022-11-23T01:32:38.2979135Z              40 BINARY_SUBSCR
2022-11-23T01:32:38.2979233Z              42 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.2979319Z              44 LOAD_CONST               6 (5)
2022-11-23T01:32:38.2979381Z              46 BINARY_SUBSCR
2022-11-23T01:32:38.2979467Z              48 BUILD_TUPLE              6
2022-11-23T01:32:38.2979542Z              50 RETURN_VALUE
2022-11-23T01:32:38.2979547Z 
2022-11-23T01:32:38.2979636Z  
2022-11-23T01:32:38.2979820Z [2022-11-23 01:30:10,596] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.2979891Z  - 
2022-11-23T01:32:38.2980011Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.2980063Z             {
2022-11-23T01:32:38.2980202Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.2980413Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 1'],
2022-11-23T01:32:38.2980534Z                 'obj_weakref': None
2022-11-23T01:32:38.2980756Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.2980819Z             }
2022-11-23T01:32:38.2980882Z             
2022-11-23T01:32:38.2980938Z  - 
2022-11-23T01:32:38.2981058Z             local 'ex[0]' TYPE_MATCH
2022-11-23T01:32:38.2981121Z             {
2022-11-23T01:32:38.2981259Z                 'guard_types': ['TYPE_MATCH'],
2022-11-23T01:32:38.2981427Z                 'code': ['___check_type_id(ex[0], 107271106909856)'],
2022-11-23T01:32:38.2981638Z                 'obj_weakref': <weakref at 0x7f71066f8290; to 'Tensor' at 0x7f70f2962350>
2022-11-23T01:32:38.2981885Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2981937Z             }
2022-11-23T01:32:38.2982003Z             
2022-11-23T01:32:38.2982071Z  - 
2022-11-23T01:32:38.2982194Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.2982256Z             {
2022-11-23T01:32:38.2982397Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.2982503Z                 'code': None,
2022-11-23T01:32:38.2982695Z                 'obj_weakref': <weakref at 0x7f71066f8290; to 'Tensor' at 0x7f70f2962350>
2022-11-23T01:32:38.2982940Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.2983003Z             }
2022-11-23T01:32:38.2983064Z             
2022-11-23T01:32:38.2983131Z  - 
2022-11-23T01:32:38.2983263Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.2983326Z             {
2022-11-23T01:32:38.2983446Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.2983614Z                 'code': ['___check_obj_id(model, 140125776675472)'],
2022-11-23T01:32:38.2983733Z                 'obj_weakref': None
2022-11-23T01:32:38.2983961Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.2984024Z             }
2022-11-23T01:32:38.2984086Z             
2022-11-23T01:32:38.2984154Z  - 
2022-11-23T01:32:38.2984262Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.2984324Z             {
2022-11-23T01:32:38.2984596Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.2984816Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.2984933Z                 'obj_weakref': None
2022-11-23T01:32:38.2985152Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.2985217Z             }
2022-11-23T01:32:38.2985267Z             
2022-11-23T01:32:38.2985334Z  - 
2022-11-23T01:32:38.2985468Z             global 'torch' FUNCTION_MATCH
2022-11-23T01:32:38.2985532Z             {
2022-11-23T01:32:38.2985652Z                 'guard_types': None,
2022-11-23T01:32:38.2985758Z                 'code': None,
2022-11-23T01:32:38.2985875Z                 'obj_weakref': None
2022-11-23T01:32:38.2985981Z                 'guarded_class': None
2022-11-23T01:32:38.2986043Z             }
2022-11-23T01:32:38.2986106Z             
2022-11-23T01:32:38.2986175Z  - 
2022-11-23T01:32:38.2986325Z             global 'torch.float32' CONSTANT_MATCH
2022-11-23T01:32:38.2986386Z             {
2022-11-23T01:32:38.2986529Z                 'guard_types': ['EQUALS_MATCH'],
2022-11-23T01:32:38.2986688Z                 'code': ["str(torch.float32) == 'torch.float32'"],
2022-11-23T01:32:38.2986808Z                 'obj_weakref': None
2022-11-23T01:32:38.2987059Z                 'guarded_class': <weakref at 0x7f71931398f0; to 'type' at 0x7f71f278dc60 (dtype)>
2022-11-23T01:32:38.2987123Z             }
2022-11-23T01:32:38.2987186Z             
2022-11-23T01:32:38.2987473Z [2022-11-23 01:30:10,614] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 451
2022-11-23T01:32:38.2987838Z [2022-11-23 01:30:13,225] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qr/cqru3frpf56pyxxf45lw5eqfv27gwta56pmtm5sf7nqi4zpszuoa.py
2022-11-23T01:32:38.2988100Z [2022-11-23 01:30:13,225] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 451
2022-11-23T01:32:38.2988105Z 
2022-11-23T01:32:38.2988184Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.2988251Z import torch
2022-11-23T01:32:38.2988319Z import random
2022-11-23T01:32:38.2988433Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.2988554Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.2988561Z 
2022-11-23T01:32:38.2988638Z aten = torch.ops.aten
2022-11-23T01:32:38.2988771Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.2988849Z async_compile = AsyncCompile()
2022-11-23T01:32:38.2988866Z 
2022-11-23T01:32:38.2988871Z 
2022-11-23T01:32:38.2988993Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.2989195Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.2989315Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.2989415Z                        float* __restrict__ out_ptr0,
2022-11-23T01:32:38.2989511Z                        float* __restrict__ out_ptr1,
2022-11-23T01:32:38.2989605Z                        float* __restrict__ out_ptr2,
2022-11-23T01:32:38.2989698Z                        float* __restrict__ out_ptr3,
2022-11-23T01:32:38.2989777Z                        float* __restrict__ out_ptr4,
2022-11-23T01:32:38.2989867Z                        float* __restrict__ out_ptr5)
2022-11-23T01:32:38.2989930Z {
2022-11-23T01:32:38.2990029Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.2990090Z     {
2022-11-23T01:32:38.2990168Z         #pragma omp for 
2022-11-23T01:32:38.2990251Z         for(long i0=0; i0<8; i0+=1)
2022-11-23T01:32:38.2990303Z         {
2022-11-23T01:32:38.2990364Z             {
2022-11-23T01:32:38.2990428Z                 {
2022-11-23T01:32:38.2990520Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.2990623Z                     auto tmp1 = static_cast<float>(1);
2022-11-23T01:32:38.2990713Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.2990797Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.2990869Z                     out_ptr1[i0] = tmp2;
2022-11-23T01:32:38.2990931Z                 }
2022-11-23T01:32:38.2990994Z             }
2022-11-23T01:32:38.2991056Z         }
2022-11-23T01:32:38.2991131Z         #pragma omp for 
2022-11-23T01:32:38.2991213Z         for(long i0=0; i0<2048; i0+=1)
2022-11-23T01:32:38.2991263Z         {
2022-11-23T01:32:38.2991411Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(0));
2022-11-23T01:32:38.2991504Z             tmp0.store(out_ptr2 + 16*i0);
2022-11-23T01:32:38.2991566Z         }
2022-11-23T01:32:38.2991662Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2991750Z         for(long i0=32768; i0<32768; i0+=1)
2022-11-23T01:32:38.2991812Z         {
2022-11-23T01:32:38.2991897Z             auto tmp0 = static_cast<float>(0);
2022-11-23T01:32:38.2991977Z             out_ptr2[i0] = tmp0;
2022-11-23T01:32:38.2992037Z         }
2022-11-23T01:32:38.2992112Z         #pragma omp for 
2022-11-23T01:32:38.2992193Z         for(long i0=0; i0<2048; i0+=1)
2022-11-23T01:32:38.2992254Z         {
2022-11-23T01:32:38.2992386Z             auto tmp0 = at::vec::Vectorized<float>(static_cast<float>(0));
2022-11-23T01:32:38.2992466Z             tmp0.store(out_ptr3 + 16*i0);
2022-11-23T01:32:38.2992526Z         }
2022-11-23T01:32:38.2992654Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.2992742Z         for(long i0=32768; i0<32768; i0+=1)
2022-11-23T01:32:38.2992804Z         {
2022-11-23T01:32:38.2992901Z             auto tmp0 = static_cast<float>(0);
2022-11-23T01:32:38.2992981Z             out_ptr3[i0] = tmp0;
2022-11-23T01:32:38.2993060Z         }
2022-11-23T01:32:38.2993135Z         #pragma omp for 
2022-11-23T01:32:38.2993215Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:38.2993277Z         {
2022-11-23T01:32:38.2993340Z             {
2022-11-23T01:32:38.2993404Z                 {
2022-11-23T01:32:38.2993507Z                     auto tmp0 = static_cast<float>(0);
2022-11-23T01:32:38.2993578Z                     out_ptr4[i0] = tmp0;
2022-11-23T01:32:38.2993642Z                 }
2022-11-23T01:32:38.2993707Z             }
2022-11-23T01:32:38.2993770Z         }
2022-11-23T01:32:38.2993844Z         #pragma omp for 
2022-11-23T01:32:38.2993924Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:38.2993987Z         {
2022-11-23T01:32:38.2994036Z             {
2022-11-23T01:32:38.2994099Z                 {
2022-11-23T01:32:38.2994205Z                     auto tmp0 = static_cast<float>(3.1416);
2022-11-23T01:32:38.2994286Z                     out_ptr5[i0] = tmp0;
2022-11-23T01:32:38.2994350Z                 }
2022-11-23T01:32:38.2994415Z             }
2022-11-23T01:32:38.2994464Z         }
2022-11-23T01:32:38.2994524Z     }
2022-11-23T01:32:38.2994583Z }
2022-11-23T01:32:38.2994662Z ''')
2022-11-23T01:32:38.2994667Z 
2022-11-23T01:32:38.2994671Z 
2022-11-23T01:32:38.2994760Z async_compile.wait(globals())
2022-11-23T01:32:38.2994833Z del async_compile
2022-11-23T01:32:38.2994838Z 
2022-11-23T01:32:38.2994908Z def call(args):
2022-11-23T01:32:38.2994964Z     arg0_1, = args
2022-11-23T01:32:38.2995034Z     args.clear()
2022-11-23T01:32:38.2995227Z     buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2995416Z     buf4 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2995639Z     buf1 = empty_strided((1, 8, 64, 64), (32768, 4096, 64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2995854Z     buf2 = empty_strided((1, 8, 64, 64), (32768, 4096, 64, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2996046Z     buf3 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2996237Z     buf5 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2996494Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()))
2022-11-23T01:32:38.2996550Z     del arg0_1
2022-11-23T01:32:38.2996652Z     return (buf0, buf1, buf2, buf3, buf4, buf5, )
2022-11-23T01:32:38.2996658Z 
2022-11-23T01:32:38.2996663Z 
2022-11-23T01:32:38.2996740Z if __name__ == "__main__":
2022-11-23T01:32:38.2996854Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.2996984Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.2997285Z     arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.2997394Z     print_performance(lambda: call([arg0_1]))
2022-11-23T01:32:38.2997399Z 
2022-11-23T01:32:38.2997469Z ok (2.719s)
2022-11-23T01:32:38.2997814Z   test_cpu_broadcast1_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:13,272] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.2998085Z [2022-11-23 01:30:13,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.2998303Z [2022-11-23 01:30:13,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.2998559Z [2022-11-23 01:30:13,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.2998848Z [2022-11-23 01:30:13,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.2999219Z [2022-11-23 01:30:13,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.2999583Z [2022-11-23 01:30:13,272] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.2999679Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.2999770Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.2999831Z               4 BINARY_ADD
2022-11-23T01:32:38.2999920Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.2999997Z               8 RETURN_VALUE
2022-11-23T01:32:38.3000058Z  
2022-11-23T01:32:38.3000064Z 
2022-11-23T01:32:38.3000333Z [2022-11-23 01:30:13,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3000548Z [2022-11-23 01:30:13,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3000785Z [2022-11-23 01:30:13,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3001061Z [2022-11-23 01:30:13,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3001288Z [2022-11-23 01:30:13,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3001533Z [2022-11-23 01:30:13,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3001870Z [2022-11-23 01:30:13,275] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3002114Z [2022-11-23 01:30:13,276] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3002349Z [2022-11-23 01:30:13,276] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3002603Z [2022-11-23 01:30:13,277] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3002856Z [2022-11-23 01:30:13,282] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3003044Z [2022-11-23 01:30:13,282] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3003179Z  __compiled_fn_460 <eval_with_key>.2839 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3003256Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3003343Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3003520Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3003614Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3003620Z 
2022-11-23T01:32:38.3003900Z [2022-11-23 01:30:13,283] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3003999Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3004090Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3004184Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3004264Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3004341Z               8 RETURN_VALUE
2022-11-23T01:32:38.3004346Z 
2022-11-23T01:32:38.3004408Z  
2022-11-23T01:32:38.3004680Z [2022-11-23 01:30:13,283] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3004792Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_460)
2022-11-23T01:32:38.3004882Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3004973Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3005048Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3005123Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3005240Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3005314Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3005401Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3005506Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3005634Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3005722Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3005785Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3005871Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3005946Z              26 RETURN_VALUE
2022-11-23T01:32:38.3005951Z 
2022-11-23T01:32:38.3006010Z  
2022-11-23T01:32:38.3006192Z [2022-11-23 01:30:13,285] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3006261Z  - 
2022-11-23T01:32:38.3006378Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3006429Z             {
2022-11-23T01:32:38.3006566Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3006754Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3006874Z                 'obj_weakref': None
2022-11-23T01:32:38.3007095Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3007160Z             }
2022-11-23T01:32:38.3007227Z             
2022-11-23T01:32:38.3007283Z  - 
2022-11-23T01:32:38.3007405Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3007466Z             {
2022-11-23T01:32:38.3007608Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3007713Z                 'code': None,
2022-11-23T01:32:38.3007921Z                 'obj_weakref': <weakref at 0x7f70f11f6bf0; to 'Tensor' at 0x7f7106757170>
2022-11-23T01:32:38.3008170Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3008221Z             }
2022-11-23T01:32:38.3008283Z             
2022-11-23T01:32:38.3008354Z  - 
2022-11-23T01:32:38.3008476Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3008538Z             {
2022-11-23T01:32:38.3008681Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3008787Z                 'code': None,
2022-11-23T01:32:38.3008981Z                 'obj_weakref': <weakref at 0x7f70f2791350; to 'Tensor' at 0x7f71071309b0>
2022-11-23T01:32:38.3009224Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3009287Z             }
2022-11-23T01:32:38.3009349Z             
2022-11-23T01:32:38.3009417Z  - 
2022-11-23T01:32:38.3009550Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3009613Z             {
2022-11-23T01:32:38.3009732Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3009898Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3010015Z                 'obj_weakref': None
2022-11-23T01:32:38.3010240Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3010309Z             }
2022-11-23T01:32:38.3010371Z             
2022-11-23T01:32:38.3010438Z  - 
2022-11-23T01:32:38.3010547Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3010607Z             {
2022-11-23T01:32:38.3010745Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3010958Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3011075Z                 'obj_weakref': None
2022-11-23T01:32:38.3011290Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3011353Z             }
2022-11-23T01:32:38.3011402Z             
2022-11-23T01:32:38.3011661Z [2022-11-23 01:30:13,293] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 452
2022-11-23T01:32:38.3012026Z [2022-11-23 01:30:13,304] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4q/c4qjrl7ufj4p5qyinkqyfwqcoyj72p2npvt4jqlhleth77357ny5.py
2022-11-23T01:32:38.3012319Z [2022-11-23 01:30:13,304] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 452
2022-11-23T01:32:38.3012325Z 
2022-11-23T01:32:38.3012478Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3012547Z import torch
2022-11-23T01:32:38.3012616Z import random
2022-11-23T01:32:38.3012731Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3012839Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3012844Z 
2022-11-23T01:32:38.3012921Z aten = torch.ops.aten
2022-11-23T01:32:38.3013054Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3013147Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3013152Z 
2022-11-23T01:32:38.3013157Z 
2022-11-23T01:32:38.3013289Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3013492Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3013612Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3013717Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3013803Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3013863Z {
2022-11-23T01:32:38.3013962Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3014024Z     {
2022-11-23T01:32:38.3014100Z         #pragma omp for 
2022-11-23T01:32:38.3014182Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3014244Z         {
2022-11-23T01:32:38.3014294Z             {
2022-11-23T01:32:38.3014359Z                 {
2022-11-23T01:32:38.3014449Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.3014542Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.3014631Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3014714Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.3014777Z                 }
2022-11-23T01:32:38.3014829Z             }
2022-11-23T01:32:38.3014891Z         }
2022-11-23T01:32:38.3014951Z     }
2022-11-23T01:32:38.3015010Z }
2022-11-23T01:32:38.3015086Z ''')
2022-11-23T01:32:38.3015091Z 
2022-11-23T01:32:38.3015095Z 
2022-11-23T01:32:38.3015184Z async_compile.wait(globals())
2022-11-23T01:32:38.3015256Z del async_compile
2022-11-23T01:32:38.3015261Z 
2022-11-23T01:32:38.3015318Z def call(args):
2022-11-23T01:32:38.3015393Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3015463Z     args.clear()
2022-11-23T01:32:38.3015655Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3015815Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3015883Z     del arg0_1
2022-11-23T01:32:38.3015949Z     del arg1_1
2022-11-23T01:32:38.3016007Z     return (buf0, )
2022-11-23T01:32:38.3016011Z 
2022-11-23T01:32:38.3016016Z 
2022-11-23T01:32:38.3016090Z if __name__ == "__main__":
2022-11-23T01:32:38.3016203Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3016324Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3016519Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3016712Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3016825Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3016830Z 
2022-11-23T01:32:38.3016895Z ok (0.042s)
2022-11-23T01:32:38.3017236Z   test_cpu_broadcast1_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:13,311] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3017504Z [2022-11-23 01:30:13,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3017721Z [2022-11-23 01:30:13,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3017971Z [2022-11-23 01:30:13,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3018287Z [2022-11-23 01:30:13,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3018638Z [2022-11-23 01:30:13,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3018969Z [2022-11-23 01:30:13,312] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3019060Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3019149Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3019211Z               4 BINARY_ADD
2022-11-23T01:32:38.3019297Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3019372Z               8 RETURN_VALUE
2022-11-23T01:32:38.3019432Z  
2022-11-23T01:32:38.3019442Z 
2022-11-23T01:32:38.3019710Z [2022-11-23 01:30:13,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3019917Z [2022-11-23 01:30:13,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3020157Z [2022-11-23 01:30:13,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3020428Z [2022-11-23 01:30:13,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3020654Z [2022-11-23 01:30:13,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3020898Z [2022-11-23 01:30:13,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3021234Z [2022-11-23 01:30:13,317] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3021481Z [2022-11-23 01:30:13,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3021713Z [2022-11-23 01:30:13,317] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3021969Z [2022-11-23 01:30:13,319] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3022216Z [2022-11-23 01:30:13,323] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3022401Z [2022-11-23 01:30:13,323] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3022534Z  __compiled_fn_461 <eval_with_key>.2845 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3022611Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3022695Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3022872Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3022966Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3022973Z 
2022-11-23T01:32:38.3023245Z [2022-11-23 01:30:13,324] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3023337Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3023429Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3023521Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3023599Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3023673Z               8 RETURN_VALUE
2022-11-23T01:32:38.3023678Z 
2022-11-23T01:32:38.3023739Z  
2022-11-23T01:32:38.3024011Z [2022-11-23 01:30:13,324] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3024118Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_461)
2022-11-23T01:32:38.3024207Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3024296Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3024403Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3024558Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3024647Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3024723Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3024842Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3024948Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3025050Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3025138Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3025200Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3025287Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3025362Z              26 RETURN_VALUE
2022-11-23T01:32:38.3025367Z 
2022-11-23T01:32:38.3025427Z  
2022-11-23T01:32:38.3025617Z [2022-11-23 01:30:13,325] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3025686Z  - 
2022-11-23T01:32:38.3025806Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3025857Z             {
2022-11-23T01:32:38.3025999Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3026184Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3026303Z                 'obj_weakref': None
2022-11-23T01:32:38.3026527Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3026591Z             }
2022-11-23T01:32:38.3026655Z             
2022-11-23T01:32:38.3026710Z  - 
2022-11-23T01:32:38.3026832Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3026895Z             {
2022-11-23T01:32:38.3027038Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3027144Z                 'code': None,
2022-11-23T01:32:38.3027349Z                 'obj_weakref': <weakref at 0x7f71062622f0; to 'Tensor' at 0x7f70f29483b0>
2022-11-23T01:32:38.3027597Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3027651Z             }
2022-11-23T01:32:38.3027712Z             
2022-11-23T01:32:38.3027780Z  - 
2022-11-23T01:32:38.3027903Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3027965Z             {
2022-11-23T01:32:38.3028108Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3028213Z                 'code': None,
2022-11-23T01:32:38.3028408Z                 'obj_weakref': <weakref at 0x7f7106d275f0; to 'Tensor' at 0x7f70f2d72b30>
2022-11-23T01:32:38.3028653Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3028715Z             }
2022-11-23T01:32:38.3028778Z             
2022-11-23T01:32:38.3028846Z  - 
2022-11-23T01:32:38.3028976Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3029038Z             {
2022-11-23T01:32:38.3029159Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3029329Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3029507Z                 'obj_weakref': None
2022-11-23T01:32:38.3029734Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3029798Z             }
2022-11-23T01:32:38.3029863Z             
2022-11-23T01:32:38.3029931Z  - 
2022-11-23T01:32:38.3030039Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3030101Z             {
2022-11-23T01:32:38.3030236Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3030450Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3030568Z                 'obj_weakref': None
2022-11-23T01:32:38.3030786Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3030848Z             }
2022-11-23T01:32:38.3030898Z             
2022-11-23T01:32:38.3031158Z [2022-11-23 01:30:13,334] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 453
2022-11-23T01:32:38.3031561Z [2022-11-23 01:30:15,936] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ez/cezt2ggfn5r2vxuoknjudq7wkwausbweoug2f2shc7spkp6fxqk3.py
2022-11-23T01:32:38.3031855Z [2022-11-23 01:30:15,937] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 453
2022-11-23T01:32:38.3031861Z 
2022-11-23T01:32:38.3031954Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3032023Z import torch
2022-11-23T01:32:38.3032091Z import random
2022-11-23T01:32:38.3032208Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3032316Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3032321Z 
2022-11-23T01:32:38.3032398Z aten = torch.ops.aten
2022-11-23T01:32:38.3032530Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3032621Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3032629Z 
2022-11-23T01:32:38.3032634Z 
2022-11-23T01:32:38.3032766Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3032973Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3033091Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3033197Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3033285Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3033347Z {
2022-11-23T01:32:38.3033445Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3033505Z     {
2022-11-23T01:32:38.3033583Z         #pragma omp for 
2022-11-23T01:32:38.3033666Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3033728Z         {
2022-11-23T01:32:38.3033794Z             #pragma GCC ivdep
2022-11-23T01:32:38.3033879Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3033941Z             {
2022-11-23T01:32:38.3034005Z                 {
2022-11-23T01:32:38.3034071Z                     {
2022-11-23T01:32:38.3034169Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:38.3034260Z                         auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.3034339Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3034436Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:38.3034502Z                     }
2022-11-23T01:32:38.3034566Z                 }
2022-11-23T01:32:38.3034630Z             }
2022-11-23T01:32:38.3034692Z         }
2022-11-23T01:32:38.3034741Z     }
2022-11-23T01:32:38.3034799Z }
2022-11-23T01:32:38.3034876Z ''')
2022-11-23T01:32:38.3034880Z 
2022-11-23T01:32:38.3034884Z 
2022-11-23T01:32:38.3034976Z async_compile.wait(globals())
2022-11-23T01:32:38.3035049Z del async_compile
2022-11-23T01:32:38.3035053Z 
2022-11-23T01:32:38.3035126Z def call(args):
2022-11-23T01:32:38.3035204Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3035275Z     args.clear()
2022-11-23T01:32:38.3035471Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3035638Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3035708Z     del arg0_1
2022-11-23T01:32:38.3035775Z     del arg1_1
2022-11-23T01:32:38.3035850Z     return (buf0, )
2022-11-23T01:32:38.3035857Z 
2022-11-23T01:32:38.3035861Z 
2022-11-23T01:32:38.3035938Z if __name__ == "__main__":
2022-11-23T01:32:38.3036053Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3036176Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3036360Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3036569Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3036686Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3036691Z 
2022-11-23T01:32:38.3036762Z ok (2.634s)
2022-11-23T01:32:38.3037309Z   test_cpu_broadcast1_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:15,950] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3037640Z [2022-11-23 01:30:15,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3037899Z [2022-11-23 01:30:15,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3038156Z [2022-11-23 01:30:15,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3038430Z [2022-11-23 01:30:15,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3038752Z [2022-11-23 01:30:15,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3039083Z [2022-11-23 01:30:15,951] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3039178Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3039269Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3039343Z               4 BINARY_ADD
2022-11-23T01:32:38.3039436Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3039514Z               8 RETURN_VALUE
2022-11-23T01:32:38.3039562Z  
2022-11-23T01:32:38.3039582Z 
2022-11-23T01:32:38.3039834Z [2022-11-23 01:30:15,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3040043Z [2022-11-23 01:30:15,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3040281Z [2022-11-23 01:30:15,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3040555Z [2022-11-23 01:30:15,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3040796Z [2022-11-23 01:30:15,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3041042Z [2022-11-23 01:30:15,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3041381Z [2022-11-23 01:30:15,955] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3041628Z [2022-11-23 01:30:15,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3041861Z [2022-11-23 01:30:15,956] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3042101Z [2022-11-23 01:30:15,958] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3042349Z [2022-11-23 01:30:15,964] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3042537Z [2022-11-23 01:30:15,965] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3042672Z  __compiled_fn_462 <eval_with_key>.2851 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3042763Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3042851Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3043030Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3043129Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3043134Z 
2022-11-23T01:32:38.3043398Z [2022-11-23 01:30:15,966] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3043492Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3043584Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3043675Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3043764Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3043842Z               8 RETURN_VALUE
2022-11-23T01:32:38.3043876Z 
2022-11-23T01:32:38.3043939Z  
2022-11-23T01:32:38.3044214Z [2022-11-23 01:30:15,966] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3044310Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_462)
2022-11-23T01:32:38.3044425Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3044516Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3044592Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3044679Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3044764Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3044839Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3044914Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3045017Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3045118Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3045207Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3045284Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3045372Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3045446Z              26 RETURN_VALUE
2022-11-23T01:32:38.3045452Z 
2022-11-23T01:32:38.3045499Z  
2022-11-23T01:32:38.3045680Z [2022-11-23 01:30:15,968] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3045750Z  - 
2022-11-23T01:32:38.3045868Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3045932Z             {
2022-11-23T01:32:38.3046071Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3046259Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3046367Z                 'obj_weakref': None
2022-11-23T01:32:38.3046588Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3046652Z             }
2022-11-23T01:32:38.3046715Z             
2022-11-23T01:32:38.3046785Z  - 
2022-11-23T01:32:38.3046907Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3046969Z             {
2022-11-23T01:32:38.3047098Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3047203Z                 'code': None,
2022-11-23T01:32:38.3047411Z                 'obj_weakref': <weakref at 0x7f71c1271710; to 'Tensor' at 0x7f71068c5530>
2022-11-23T01:32:38.3047658Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3047721Z             }
2022-11-23T01:32:38.3047782Z             
2022-11-23T01:32:38.3047851Z  - 
2022-11-23T01:32:38.3047960Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3048023Z             {
2022-11-23T01:32:38.3048165Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3048272Z                 'code': None,
2022-11-23T01:32:38.3048477Z                 'obj_weakref': <weakref at 0x7f710636cd10; to 'Tensor' at 0x7f71068c5050>
2022-11-23T01:32:38.3048726Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3048789Z             }
2022-11-23T01:32:38.3048839Z             
2022-11-23T01:32:38.3048907Z  - 
2022-11-23T01:32:38.3049037Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3049102Z             {
2022-11-23T01:32:38.3049235Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3049401Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3049519Z                 'obj_weakref': None
2022-11-23T01:32:38.3049731Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3049797Z             }
2022-11-23T01:32:38.3049858Z             
2022-11-23T01:32:38.3049926Z  - 
2022-11-23T01:32:38.3050048Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3050110Z             {
2022-11-23T01:32:38.3050243Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3050477Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3050596Z                 'obj_weakref': None
2022-11-23T01:32:38.3050812Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3050901Z             }
2022-11-23T01:32:38.3050964Z             
2022-11-23T01:32:38.3051221Z [2022-11-23 01:30:15,979] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 454
2022-11-23T01:32:38.3051590Z [2022-11-23 01:30:18,537] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sm/csmkjxyfpbsgr6kcbj5ls5p6ufds65ws75o5wqisulpauxhvwrbr.py
2022-11-23T01:32:38.3051852Z [2022-11-23 01:30:18,537] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 454
2022-11-23T01:32:38.3051858Z 
2022-11-23T01:32:38.3051940Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3052007Z import torch
2022-11-23T01:32:38.3052079Z import random
2022-11-23T01:32:38.3052194Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3052315Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3052320Z 
2022-11-23T01:32:38.3052397Z aten = torch.ops.aten
2022-11-23T01:32:38.3052532Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3052626Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3052632Z 
2022-11-23T01:32:38.3052636Z 
2022-11-23T01:32:38.3052756Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3052960Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3053080Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3053182Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3053283Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3053344Z {
2022-11-23T01:32:38.3053441Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3053493Z     {
2022-11-23T01:32:38.3053569Z         #pragma omp for 
2022-11-23T01:32:38.3053650Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3053712Z         {
2022-11-23T01:32:38.3053776Z             {
2022-11-23T01:32:38.3053839Z                 {
2022-11-23T01:32:38.3053934Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.3054011Z                     auto tmp1 = in_ptr1[0];
2022-11-23T01:32:38.3054099Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3054183Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.3054248Z                 }
2022-11-23T01:32:38.3054310Z             }
2022-11-23T01:32:38.3054372Z         }
2022-11-23T01:32:38.3054434Z     }
2022-11-23T01:32:38.3054481Z }
2022-11-23T01:32:38.3054559Z ''')
2022-11-23T01:32:38.3054565Z 
2022-11-23T01:32:38.3054569Z 
2022-11-23T01:32:38.3054659Z async_compile.wait(globals())
2022-11-23T01:32:38.3054731Z del async_compile
2022-11-23T01:32:38.3054735Z 
2022-11-23T01:32:38.3054807Z def call(args):
2022-11-23T01:32:38.3054881Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3054951Z     args.clear()
2022-11-23T01:32:38.3055132Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3055296Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3055364Z     del arg0_1
2022-11-23T01:32:38.3055429Z     del arg1_1
2022-11-23T01:32:38.3055501Z     return (buf0, )
2022-11-23T01:32:38.3055506Z 
2022-11-23T01:32:38.3055510Z 
2022-11-23T01:32:38.3055586Z if __name__ == "__main__":
2022-11-23T01:32:38.3055704Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3055826Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3056007Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3056196Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3056311Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3056377Z 
2022-11-23T01:32:38.3056444Z ok (2.601s)
2022-11-23T01:32:38.3056789Z   test_cpu_broadcast1_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:18,551] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3057101Z [2022-11-23 01:30:18,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3057319Z [2022-11-23 01:30:18,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3057575Z [2022-11-23 01:30:18,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3057848Z [2022-11-23 01:30:18,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3058172Z [2022-11-23 01:30:18,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3058505Z [2022-11-23 01:30:18,552] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3058598Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3058691Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3058765Z               4 BINARY_ADD
2022-11-23T01:32:38.3058853Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3058929Z               8 RETURN_VALUE
2022-11-23T01:32:38.3058977Z  
2022-11-23T01:32:38.3058994Z 
2022-11-23T01:32:38.3059247Z [2022-11-23 01:30:18,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3059454Z [2022-11-23 01:30:18,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3059690Z [2022-11-23 01:30:18,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3059965Z [2022-11-23 01:30:18,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3060205Z [2022-11-23 01:30:18,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3060451Z [2022-11-23 01:30:18,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3060784Z [2022-11-23 01:30:18,557] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3061029Z [2022-11-23 01:30:18,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3061261Z [2022-11-23 01:30:18,557] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3061501Z [2022-11-23 01:30:18,560] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3061753Z [2022-11-23 01:30:18,566] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3061938Z [2022-11-23 01:30:18,566] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3062074Z  __compiled_fn_463 <eval_with_key>.2857 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3062164Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3062249Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3062424Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3062518Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3062523Z 
2022-11-23T01:32:38.3062787Z [2022-11-23 01:30:18,567] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3062878Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3062967Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3063057Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3063176Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3063253Z               8 RETURN_VALUE
2022-11-23T01:32:38.3063258Z 
2022-11-23T01:32:38.3063318Z  
2022-11-23T01:32:38.3063618Z [2022-11-23 01:30:18,567] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3063714Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_463)
2022-11-23T01:32:38.3063802Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3063893Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3063969Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3064057Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3064143Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3064219Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3064295Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3064399Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3064584Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3064675Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3064751Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3064841Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3064915Z              26 RETURN_VALUE
2022-11-23T01:32:38.3064920Z 
2022-11-23T01:32:38.3064967Z  
2022-11-23T01:32:38.3065158Z [2022-11-23 01:30:18,569] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3065226Z  - 
2022-11-23T01:32:38.3065345Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3065409Z             {
2022-11-23T01:32:38.3065547Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3065733Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3065839Z                 'obj_weakref': None
2022-11-23T01:32:38.3066058Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3066125Z             }
2022-11-23T01:32:38.3066192Z             
2022-11-23T01:32:38.3066261Z  - 
2022-11-23T01:32:38.3066384Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3066448Z             {
2022-11-23T01:32:38.3066579Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3066684Z                 'code': None,
2022-11-23T01:32:38.3066889Z                 'obj_weakref': <weakref at 0x7f710636c2f0; to 'Tensor' at 0x7f7106775e90>
2022-11-23T01:32:38.3067136Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3067200Z             }
2022-11-23T01:32:38.3067263Z             
2022-11-23T01:32:38.3067331Z  - 
2022-11-23T01:32:38.3067439Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3067500Z             {
2022-11-23T01:32:38.3067641Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3067747Z                 'code': None,
2022-11-23T01:32:38.3067952Z                 'obj_weakref': <weakref at 0x7f70f2791350; to 'Tensor' at 0x7f710636c830>
2022-11-23T01:32:38.3068200Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3068264Z             }
2022-11-23T01:32:38.3068316Z             
2022-11-23T01:32:38.3068383Z  - 
2022-11-23T01:32:38.3068512Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3068575Z             {
2022-11-23T01:32:38.3068706Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3068874Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3068992Z                 'obj_weakref': None
2022-11-23T01:32:38.3069204Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3069266Z             }
2022-11-23T01:32:38.3069329Z             
2022-11-23T01:32:38.3069396Z  - 
2022-11-23T01:32:38.3069557Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3069619Z             {
2022-11-23T01:32:38.3069754Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3069957Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3070101Z                 'obj_weakref': None
2022-11-23T01:32:38.3070318Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3070381Z             }
2022-11-23T01:32:38.3070444Z             
2022-11-23T01:32:38.3070709Z [2022-11-23 01:30:18,581] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 455
2022-11-23T01:32:38.3071075Z [2022-11-23 01:30:21,160] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zp/czpgmf3bav6o46xxulfuza3ggf6m23dechh7zgd4hhqwiycgkecz.py
2022-11-23T01:32:38.3071334Z [2022-11-23 01:30:21,161] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 455
2022-11-23T01:32:38.3071342Z 
2022-11-23T01:32:38.3071434Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3071491Z import torch
2022-11-23T01:32:38.3071559Z import random
2022-11-23T01:32:38.3071673Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3071799Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3071805Z 
2022-11-23T01:32:38.3071883Z aten = torch.ops.aten
2022-11-23T01:32:38.3072018Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3072110Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3072115Z 
2022-11-23T01:32:38.3072120Z 
2022-11-23T01:32:38.3072238Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3072440Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3072560Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3072662Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3072764Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3072824Z {
2022-11-23T01:32:38.3072921Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3072969Z     {
2022-11-23T01:32:38.3073045Z         #pragma omp for 
2022-11-23T01:32:38.3073128Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3073192Z         {
2022-11-23T01:32:38.3073272Z             #pragma GCC ivdep
2022-11-23T01:32:38.3073357Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3073420Z             {
2022-11-23T01:32:38.3073472Z                 {
2022-11-23T01:32:38.3073537Z                     {
2022-11-23T01:32:38.3073632Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:38.3073734Z                         auto tmp1 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:38.3073829Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3073928Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:38.3073996Z                     }
2022-11-23T01:32:38.3074051Z                 }
2022-11-23T01:32:38.3074114Z             }
2022-11-23T01:32:38.3074179Z         }
2022-11-23T01:32:38.3074241Z     }
2022-11-23T01:32:38.3074302Z }
2022-11-23T01:32:38.3074380Z ''')
2022-11-23T01:32:38.3074386Z 
2022-11-23T01:32:38.3074390Z 
2022-11-23T01:32:38.3074485Z async_compile.wait(globals())
2022-11-23T01:32:38.3074545Z del async_compile
2022-11-23T01:32:38.3074550Z 
2022-11-23T01:32:38.3074621Z def call(args):
2022-11-23T01:32:38.3074699Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3074771Z     args.clear()
2022-11-23T01:32:38.3074972Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3075139Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3075209Z     del arg0_1
2022-11-23T01:32:38.3075262Z     del arg1_1
2022-11-23T01:32:38.3075336Z     return (buf0, )
2022-11-23T01:32:38.3075341Z 
2022-11-23T01:32:38.3075345Z 
2022-11-23T01:32:38.3075451Z if __name__ == "__main__":
2022-11-23T01:32:38.3075566Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3075689Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3075886Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3076111Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3076229Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3076234Z 
2022-11-23T01:32:38.3076288Z ok (2.624s)
2022-11-23T01:32:38.3076637Z   test_cpu_broadcast1_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:21,175] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3076908Z [2022-11-23 01:30:21,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3077236Z [2022-11-23 01:30:21,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3077499Z [2022-11-23 01:30:21,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3077789Z [2022-11-23 01:30:21,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3078116Z [2022-11-23 01:30:21,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3078447Z [2022-11-23 01:30:21,176] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3078539Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3078632Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3078694Z               4 BINARY_ADD
2022-11-23T01:32:38.3078783Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3078860Z               8 RETURN_VALUE
2022-11-23T01:32:38.3078925Z  
2022-11-23T01:32:38.3078930Z 
2022-11-23T01:32:38.3079231Z [2022-11-23 01:30:21,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3079471Z [2022-11-23 01:30:21,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3079714Z [2022-11-23 01:30:21,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3079986Z [2022-11-23 01:30:21,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3080213Z [2022-11-23 01:30:21,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3080461Z [2022-11-23 01:30:21,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3080800Z [2022-11-23 01:30:21,181] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3081047Z [2022-11-23 01:30:21,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3081280Z [2022-11-23 01:30:21,181] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3081533Z [2022-11-23 01:30:21,183] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3081782Z [2022-11-23 01:30:21,190] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3081969Z [2022-11-23 01:30:21,190] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3082104Z  __compiled_fn_464 <eval_with_key>.2863 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3082180Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3082267Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3082446Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3082598Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3082604Z 
2022-11-23T01:32:38.3082880Z [2022-11-23 01:30:21,191] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3083009Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3083102Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3083194Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3083272Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3083347Z               8 RETURN_VALUE
2022-11-23T01:32:38.3083352Z 
2022-11-23T01:32:38.3083413Z  
2022-11-23T01:32:38.3083686Z [2022-11-23 01:30:21,191] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3083794Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_464)
2022-11-23T01:32:38.3083884Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3083975Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3084040Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3084129Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3084216Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3084291Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3084383Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3084490Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3084590Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3084666Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3084740Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3084827Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3084901Z              26 RETURN_VALUE
2022-11-23T01:32:38.3084906Z 
2022-11-23T01:32:38.3084965Z  
2022-11-23T01:32:38.3085144Z [2022-11-23 01:30:21,193] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3085215Z  - 
2022-11-23T01:32:38.3085320Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3085383Z             {
2022-11-23T01:32:38.3085521Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3085707Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3085827Z                 'obj_weakref': None
2022-11-23T01:32:38.3086051Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3086115Z             }
2022-11-23T01:32:38.3086177Z             
2022-11-23T01:32:38.3086232Z  - 
2022-11-23T01:32:38.3086358Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3086419Z             {
2022-11-23T01:32:38.3086564Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3086669Z                 'code': None,
2022-11-23T01:32:38.3086877Z                 'obj_weakref': <weakref at 0x7f70f29487d0; to 'Tensor' at 0x7f7106d27230>
2022-11-23T01:32:38.3087122Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3087176Z             }
2022-11-23T01:32:38.3087238Z             
2022-11-23T01:32:38.3087307Z  - 
2022-11-23T01:32:38.3087428Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3087493Z             {
2022-11-23T01:32:38.3087633Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3087726Z                 'code': None,
2022-11-23T01:32:38.3087933Z                 'obj_weakref': <weakref at 0x7f7106d8d890; to 'Tensor' at 0x7f7106d27710>
2022-11-23T01:32:38.3088179Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3088241Z             }
2022-11-23T01:32:38.3088303Z             
2022-11-23T01:32:38.3088372Z  - 
2022-11-23T01:32:38.3088501Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3088551Z             {
2022-11-23T01:32:38.3088682Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3088880Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3088998Z                 'obj_weakref': None
2022-11-23T01:32:38.3089226Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3089319Z             }
2022-11-23T01:32:38.3089383Z             
2022-11-23T01:32:38.3089439Z  - 
2022-11-23T01:32:38.3089559Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3089621Z             {
2022-11-23T01:32:38.3089754Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3089970Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3090087Z                 'obj_weakref': None
2022-11-23T01:32:38.3090303Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3090364Z             }
2022-11-23T01:32:38.3090414Z             
2022-11-23T01:32:38.3090674Z [2022-11-23 01:30:21,204] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 456
2022-11-23T01:32:38.3091045Z [2022-11-23 01:30:23,844] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lh/clhrxcdsejdvfrp2ootu6sm67hhjnfdl6ojquxkjy6d75difeciq.py
2022-11-23T01:32:38.3091309Z [2022-11-23 01:30:23,844] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 456
2022-11-23T01:32:38.3091315Z 
2022-11-23T01:32:38.3091408Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3091477Z import torch
2022-11-23T01:32:38.3091545Z import random
2022-11-23T01:32:38.3091660Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3091767Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3091772Z 
2022-11-23T01:32:38.3091848Z aten = torch.ops.aten
2022-11-23T01:32:38.3091982Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3092074Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3092081Z 
2022-11-23T01:32:38.3092086Z 
2022-11-23T01:32:38.3092219Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3092423Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3092544Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3092649Z                        const double* __restrict__ in_ptr1,
2022-11-23T01:32:38.3092737Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:38.3092796Z {
2022-11-23T01:32:38.3092892Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3092953Z     {
2022-11-23T01:32:38.3093029Z         #pragma omp for 
2022-11-23T01:32:38.3093111Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3093160Z         {
2022-11-23T01:32:38.3093239Z             #pragma GCC ivdep
2022-11-23T01:32:38.3093323Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3093384Z             {
2022-11-23T01:32:38.3093448Z                 {
2022-11-23T01:32:38.3093516Z                     {
2022-11-23T01:32:38.3093608Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:38.3093698Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:38.3093806Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:32:38.3093899Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:38.3093997Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:38.3094063Z                     }
2022-11-23T01:32:38.3094126Z                 }
2022-11-23T01:32:38.3094187Z             }
2022-11-23T01:32:38.3094237Z         }
2022-11-23T01:32:38.3094296Z     }
2022-11-23T01:32:38.3094356Z }
2022-11-23T01:32:38.3094434Z ''')
2022-11-23T01:32:38.3094439Z 
2022-11-23T01:32:38.3094443Z 
2022-11-23T01:32:38.3094531Z async_compile.wait(globals())
2022-11-23T01:32:38.3094600Z del async_compile
2022-11-23T01:32:38.3094604Z 
2022-11-23T01:32:38.3094672Z def call(args):
2022-11-23T01:32:38.3094764Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3094834Z     args.clear()
2022-11-23T01:32:38.3095032Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3095193Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3095287Z     del arg0_1
2022-11-23T01:32:38.3095354Z     del arg1_1
2022-11-23T01:32:38.3095423Z     return (buf0, )
2022-11-23T01:32:38.3095428Z 
2022-11-23T01:32:38.3095432Z 
2022-11-23T01:32:38.3095506Z if __name__ == "__main__":
2022-11-23T01:32:38.3095606Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3095724Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3095917Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3096113Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3096226Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3096233Z 
2022-11-23T01:32:38.3096299Z ok (2.684s)
2022-11-23T01:32:38.3096637Z   test_cpu_broadcast1_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:23,860] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3096912Z [2022-11-23 01:30:23,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3097117Z [2022-11-23 01:30:23,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3097368Z [2022-11-23 01:30:23,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3097652Z [2022-11-23 01:30:23,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3097972Z [2022-11-23 01:30:23,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3098304Z [2022-11-23 01:30:23,861] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3098397Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3098490Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3098563Z               4 BINARY_ADD
2022-11-23T01:32:38.3098651Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3098714Z               8 RETURN_VALUE
2022-11-23T01:32:38.3098774Z  
2022-11-23T01:32:38.3098778Z 
2022-11-23T01:32:38.3099041Z [2022-11-23 01:30:23,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3099249Z [2022-11-23 01:30:23,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3099483Z [2022-11-23 01:30:23,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3099756Z [2022-11-23 01:30:23,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3099995Z [2022-11-23 01:30:23,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3100244Z [2022-11-23 01:30:23,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3100578Z [2022-11-23 01:30:23,866] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3100810Z [2022-11-23 01:30:23,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3101043Z [2022-11-23 01:30:23,867] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3101294Z [2022-11-23 01:30:23,870] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3101572Z [2022-11-23 01:30:23,877] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3101759Z [2022-11-23 01:30:23,878] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3101893Z  __compiled_fn_465 <eval_with_key>.2869 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3102021Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3102107Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3102272Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3102366Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3102371Z 
2022-11-23T01:32:38.3102644Z [2022-11-23 01:30:23,878] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3102737Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3102829Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3102922Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3103014Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3103090Z               8 RETURN_VALUE
2022-11-23T01:32:38.3103095Z 
2022-11-23T01:32:38.3103142Z  
2022-11-23T01:32:38.3103417Z [2022-11-23 01:30:23,879] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3103524Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_465)
2022-11-23T01:32:38.3103612Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3103702Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3103776Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3103864Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3103937Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3104013Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3104101Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3104204Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3104308Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3104396Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3104549Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3104639Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3104704Z              26 RETURN_VALUE
2022-11-23T01:32:38.3104709Z 
2022-11-23T01:32:38.3104768Z  
2022-11-23T01:32:38.3104954Z [2022-11-23 01:30:23,881] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3105024Z  - 
2022-11-23T01:32:38.3105142Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3105206Z             {
2022-11-23T01:32:38.3105346Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3105519Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3105639Z                 'obj_weakref': None
2022-11-23T01:32:38.3105864Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3105931Z             }
2022-11-23T01:32:38.3105993Z             
2022-11-23T01:32:38.3106062Z  - 
2022-11-23T01:32:38.3106186Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3106237Z             {
2022-11-23T01:32:38.3106380Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3106489Z                 'code': None,
2022-11-23T01:32:38.3106701Z                 'obj_weakref': <weakref at 0x7f70f293e110; to 'Tensor' at 0x7f71c0f2d170>
2022-11-23T01:32:38.3106948Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3107011Z             }
2022-11-23T01:32:38.3107074Z             
2022-11-23T01:32:38.3107129Z  - 
2022-11-23T01:32:38.3107250Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3107311Z             {
2022-11-23T01:32:38.3107451Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3107558Z                 'code': None,
2022-11-23T01:32:38.3107797Z                 'obj_weakref': <weakref at 0x7f710636c110; to 'Tensor' at 0x7f7129f5ac50>
2022-11-23T01:32:38.3108046Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3108096Z             }
2022-11-23T01:32:38.3108184Z             
2022-11-23T01:32:38.3108253Z  - 
2022-11-23T01:32:38.3108383Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3108445Z             {
2022-11-23T01:32:38.3108576Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3108745Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3108852Z                 'obj_weakref': None
2022-11-23T01:32:38.3109078Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3109140Z             }
2022-11-23T01:32:38.3109202Z             
2022-11-23T01:32:38.3109269Z  - 
2022-11-23T01:32:38.3109389Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3109454Z             {
2022-11-23T01:32:38.3109575Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3109788Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3109905Z                 'obj_weakref': None
2022-11-23T01:32:38.3110125Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3110189Z             }
2022-11-23T01:32:38.3110252Z             
2022-11-23T01:32:38.3110515Z [2022-11-23 01:30:23,894] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 457
2022-11-23T01:32:38.3110871Z [2022-11-23 01:30:26,509] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oq/coqbbb6olm6dtjwpf7nwqnjak7lo5l4xpycv5oikgs6oy5n2p7p4.py
2022-11-23T01:32:38.3111132Z [2022-11-23 01:30:26,509] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 457
2022-11-23T01:32:38.3111140Z 
2022-11-23T01:32:38.3111233Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3111302Z import torch
2022-11-23T01:32:38.3111374Z import random
2022-11-23T01:32:38.3111488Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3111609Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3111616Z 
2022-11-23T01:32:38.3111694Z aten = torch.ops.aten
2022-11-23T01:32:38.3111814Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3111908Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3111913Z 
2022-11-23T01:32:38.3111918Z 
2022-11-23T01:32:38.3112050Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3112254Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3112374Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3112478Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:32:38.3112579Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3112645Z {
2022-11-23T01:32:38.3112730Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3112793Z     {
2022-11-23T01:32:38.3112872Z         #pragma omp for 
2022-11-23T01:32:38.3112957Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3113022Z         {
2022-11-23T01:32:38.3113089Z             {
2022-11-23T01:32:38.3113156Z                 {
2022-11-23T01:32:38.3113235Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.3113327Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.3113435Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:32:38.3113527Z                     auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:38.3113613Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:38.3113681Z                 }
2022-11-23T01:32:38.3113731Z             }
2022-11-23T01:32:38.3113794Z         }
2022-11-23T01:32:38.3113857Z     }
2022-11-23T01:32:38.3113917Z }
2022-11-23T01:32:38.3114026Z ''')
2022-11-23T01:32:38.3114031Z 
2022-11-23T01:32:38.3114035Z 
2022-11-23T01:32:38.3114126Z async_compile.wait(globals())
2022-11-23T01:32:38.3114204Z del async_compile
2022-11-23T01:32:38.3114209Z 
2022-11-23T01:32:38.3114279Z def call(args):
2022-11-23T01:32:38.3114343Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3114440Z     args.clear()
2022-11-23T01:32:38.3114638Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3114803Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3114873Z     del arg0_1
2022-11-23T01:32:38.3114942Z     del arg1_1
2022-11-23T01:32:38.3115015Z     return (buf0, )
2022-11-23T01:32:38.3115020Z 
2022-11-23T01:32:38.3115024Z 
2022-11-23T01:32:38.3115088Z if __name__ == "__main__":
2022-11-23T01:32:38.3115201Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3115324Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3115526Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3115716Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:38.3115831Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3115836Z 
2022-11-23T01:32:38.3115907Z ok (2.664s)
2022-11-23T01:32:38.3116255Z   test_cpu_broadcast1_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:26,522] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3116511Z [2022-11-23 01:30:26,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3116729Z [2022-11-23 01:30:26,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3116983Z [2022-11-23 01:30:26,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3117378Z [2022-11-23 01:30:26,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3117707Z [2022-11-23 01:30:26,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3118042Z [2022-11-23 01:30:26,523] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3118136Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3118227Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3118302Z               4 BINARY_ADD
2022-11-23T01:32:38.3118378Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3118455Z               8 RETURN_VALUE
2022-11-23T01:32:38.3118516Z  
2022-11-23T01:32:38.3118520Z 
2022-11-23T01:32:38.3118787Z [2022-11-23 01:30:26,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3118999Z [2022-11-23 01:30:26,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3119235Z [2022-11-23 01:30:26,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3119511Z [2022-11-23 01:30:26,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3119750Z [2022-11-23 01:30:26,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3119983Z [2022-11-23 01:30:26,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3120318Z [2022-11-23 01:30:26,526] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3120562Z [2022-11-23 01:30:26,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3120798Z [2022-11-23 01:30:26,526] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3121099Z [2022-11-23 01:30:26,528] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3121380Z [2022-11-23 01:30:26,534] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3121571Z [2022-11-23 01:30:26,534] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3121705Z  __compiled_fn_466 <eval_with_key>.2875 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3121794Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3121868Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3122045Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3122139Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3122144Z 
2022-11-23T01:32:38.3122420Z [2022-11-23 01:30:26,535] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3122516Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3122607Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3127894Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3128019Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3128086Z               8 RETURN_VALUE
2022-11-23T01:32:38.3128092Z 
2022-11-23T01:32:38.3128151Z  
2022-11-23T01:32:38.3128456Z [2022-11-23 01:30:26,535] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3128567Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_466)
2022-11-23T01:32:38.3128668Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3128758Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3128834Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3128911Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3128998Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3129076Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3129165Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3129269Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3129373Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3129466Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3129540Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3129615Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3129688Z              26 RETURN_VALUE
2022-11-23T01:32:38.3129694Z 
2022-11-23T01:32:38.3129754Z  
2022-11-23T01:32:38.3129941Z [2022-11-23 01:30:26,537] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3130010Z  - 
2022-11-23T01:32:38.3130127Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3130195Z             {
2022-11-23T01:32:38.3130322Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3130510Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3130629Z                 'obj_weakref': None
2022-11-23T01:32:38.3130855Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3130920Z             }
2022-11-23T01:32:38.3130985Z             
2022-11-23T01:32:38.3131053Z  - 
2022-11-23T01:32:38.3131166Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3131228Z             {
2022-11-23T01:32:38.3131370Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3131476Z                 'code': None,
2022-11-23T01:32:38.3131684Z                 'obj_weakref': <weakref at 0x7f7112c9f410; to 'Tensor' at 0x7f70f2c70290>
2022-11-23T01:32:38.3131931Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3131996Z             }
2022-11-23T01:32:38.3132045Z             
2022-11-23T01:32:38.3132112Z  - 
2022-11-23T01:32:38.3132306Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3132370Z             {
2022-11-23T01:32:38.3132511Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3132620Z                 'code': None,
2022-11-23T01:32:38.3132860Z                 'obj_weakref': <weakref at 0x7f70f10a4fb0; to 'Tensor' at 0x7f7112c9f9b0>
2022-11-23T01:32:38.3133097Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3133160Z             }
2022-11-23T01:32:38.3133224Z             
2022-11-23T01:32:38.3133293Z  - 
2022-11-23T01:32:38.3133425Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3133489Z             {
2022-11-23T01:32:38.3133623Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3133781Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3133900Z                 'obj_weakref': None
2022-11-23T01:32:38.3134127Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3134192Z             }
2022-11-23T01:32:38.3134256Z             
2022-11-23T01:32:38.3134324Z  - 
2022-11-23T01:32:38.3134443Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3134494Z             {
2022-11-23T01:32:38.3134630Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3134848Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3134970Z                 'obj_weakref': None
2022-11-23T01:32:38.3135187Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3135253Z             }
2022-11-23T01:32:38.3135315Z             
2022-11-23T01:32:38.3135566Z [2022-11-23 01:30:26,546] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 458
2022-11-23T01:32:38.3135938Z [2022-11-23 01:30:29,151] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ea/ceag4hxpn2xinu5e3mwvsdrtmuulimq45j4vf6i2fx6whfdad2ya.py
2022-11-23T01:32:38.3136204Z [2022-11-23 01:30:29,152] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 458
2022-11-23T01:32:38.3136210Z 
2022-11-23T01:32:38.3136304Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3136375Z import torch
2022-11-23T01:32:38.3136445Z import random
2022-11-23T01:32:38.3136559Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3136679Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3136685Z 
2022-11-23T01:32:38.3136750Z aten = torch.ops.aten
2022-11-23T01:32:38.3136883Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3136975Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3136980Z 
2022-11-23T01:32:38.3136985Z 
2022-11-23T01:32:38.3137117Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3137322Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3137447Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3137551Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3137651Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3137700Z {
2022-11-23T01:32:38.3137798Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3137861Z     {
2022-11-23T01:32:38.3137937Z         #pragma omp for 
2022-11-23T01:32:38.3138019Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3138081Z         {
2022-11-23T01:32:38.3138161Z             #pragma GCC ivdep
2022-11-23T01:32:38.3138233Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3138296Z             {
2022-11-23T01:32:38.3138359Z                 {
2022-11-23T01:32:38.3138425Z                     {
2022-11-23T01:32:38.3138519Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:38.3138625Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T01:32:38.3138750Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3138833Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:38.3138900Z                     }
2022-11-23T01:32:38.3138963Z                 }
2022-11-23T01:32:38.3139026Z             }
2022-11-23T01:32:38.3139124Z         }
2022-11-23T01:32:38.3139185Z     }
2022-11-23T01:32:38.3139232Z }
2022-11-23T01:32:38.3139310Z ''')
2022-11-23T01:32:38.3139315Z 
2022-11-23T01:32:38.3139319Z 
2022-11-23T01:32:38.3139408Z async_compile.wait(globals())
2022-11-23T01:32:38.3139479Z del async_compile
2022-11-23T01:32:38.3139484Z 
2022-11-23T01:32:38.3139556Z def call(args):
2022-11-23T01:32:38.3139634Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3139706Z     args.clear()
2022-11-23T01:32:38.3139904Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3140054Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3140123Z     del arg0_1
2022-11-23T01:32:38.3140188Z     del arg1_1
2022-11-23T01:32:38.3140258Z     return (buf0, )
2022-11-23T01:32:38.3140263Z 
2022-11-23T01:32:38.3140267Z 
2022-11-23T01:32:38.3140343Z if __name__ == "__main__":
2022-11-23T01:32:38.3140459Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3140585Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3140769Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3140966Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3141081Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3141086Z 
2022-11-23T01:32:38.3141152Z ok (2.642s)
2022-11-23T01:32:38.3141505Z   test_cpu_broadcast1_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:29,164] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3141775Z [2022-11-23 01:30:29,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3141994Z [2022-11-23 01:30:29,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3142250Z [2022-11-23 01:30:29,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3142535Z [2022-11-23 01:30:29,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3142858Z [2022-11-23 01:30:29,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3143176Z [2022-11-23 01:30:29,165] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3143267Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3143357Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3143434Z               4 BINARY_ADD
2022-11-23T01:32:38.3143525Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3143600Z               8 RETURN_VALUE
2022-11-23T01:32:38.3143660Z  
2022-11-23T01:32:38.3143665Z 
2022-11-23T01:32:38.3143921Z [2022-11-23 01:30:29,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3144129Z [2022-11-23 01:30:29,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3144365Z [2022-11-23 01:30:29,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3144727Z [2022-11-23 01:30:29,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3144970Z [2022-11-23 01:30:29,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3145218Z [2022-11-23 01:30:29,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3145588Z [2022-11-23 01:30:29,169] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3145864Z [2022-11-23 01:30:29,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3146103Z [2022-11-23 01:30:29,169] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3146358Z [2022-11-23 01:30:29,171] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3146596Z [2022-11-23 01:30:29,177] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3146783Z [2022-11-23 01:30:29,178] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3146916Z  __compiled_fn_467 <eval_with_key>.2881 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3147009Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3147095Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3147274Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3147369Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3147374Z 
2022-11-23T01:32:38.3147651Z [2022-11-23 01:30:29,178] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3147733Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3147823Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3147916Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3148007Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3148082Z               8 RETURN_VALUE
2022-11-23T01:32:38.3148088Z 
2022-11-23T01:32:38.3148149Z  
2022-11-23T01:32:38.3148421Z [2022-11-23 01:30:29,178] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3148532Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_467)
2022-11-23T01:32:38.3148608Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3148698Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3148777Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3148865Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3148951Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3149026Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3149115Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3149205Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3149304Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3149392Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3149469Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3149557Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3149633Z              26 RETURN_VALUE
2022-11-23T01:32:38.3149638Z 
2022-11-23T01:32:38.3149698Z  
2022-11-23T01:32:38.3149865Z [2022-11-23 01:30:29,180] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3149933Z  - 
2022-11-23T01:32:38.3150051Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3150117Z             {
2022-11-23T01:32:38.3150258Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3150442Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3150561Z                 'obj_weakref': None
2022-11-23T01:32:38.3150772Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3150835Z             }
2022-11-23T01:32:38.3150898Z             
2022-11-23T01:32:38.3150969Z  - 
2022-11-23T01:32:38.3151094Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3151158Z             {
2022-11-23T01:32:38.3151299Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3151423Z                 'code': None,
2022-11-23T01:32:38.3151629Z                 'obj_weakref': <weakref at 0x7f7112c9f770; to 'Tensor' at 0x7f7129f08d10>
2022-11-23T01:32:38.3151879Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3151987Z             }
2022-11-23T01:32:38.3152050Z             
2022-11-23T01:32:38.3152118Z  - 
2022-11-23T01:32:38.3152242Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3152292Z             {
2022-11-23T01:32:38.3152430Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3152536Z                 'code': None,
2022-11-23T01:32:38.3152744Z                 'obj_weakref': <weakref at 0x7f7104e60ef0; to 'Tensor' at 0x7f70f2d72650>
2022-11-23T01:32:38.3152992Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3153055Z             }
2022-11-23T01:32:38.3153120Z             
2022-11-23T01:32:38.3153176Z  - 
2022-11-23T01:32:38.3153306Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3153369Z             {
2022-11-23T01:32:38.3153503Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3153676Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3153796Z                 'obj_weakref': None
2022-11-23T01:32:38.3154030Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3154081Z             }
2022-11-23T01:32:38.3154145Z             
2022-11-23T01:32:38.3154215Z  - 
2022-11-23T01:32:38.3154338Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3154403Z             {
2022-11-23T01:32:38.3154544Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3154762Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3154869Z                 'obj_weakref': None
2022-11-23T01:32:38.3155090Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3155154Z             }
2022-11-23T01:32:38.3155218Z             
2022-11-23T01:32:38.3155482Z [2022-11-23 01:30:29,190] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 459
2022-11-23T01:32:38.3155852Z [2022-11-23 01:30:31,781] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lc/clccususp4myia7rnewdt5afmf7iot4o5tdq42ortc754bdimy2z.py
2022-11-23T01:32:38.3156118Z [2022-11-23 01:30:31,781] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 459
2022-11-23T01:32:38.3156124Z 
2022-11-23T01:32:38.3156218Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3156275Z import torch
2022-11-23T01:32:38.3156346Z import random
2022-11-23T01:32:38.3156463Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3156587Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3156595Z 
2022-11-23T01:32:38.3156674Z aten = torch.ops.aten
2022-11-23T01:32:38.3156809Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3156904Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3156909Z 
2022-11-23T01:32:38.3156913Z 
2022-11-23T01:32:38.3157050Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3157359Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3157480Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3157586Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3157690Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3157754Z {
2022-11-23T01:32:38.3157854Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3157916Z     {
2022-11-23T01:32:38.3157981Z         #pragma omp for 
2022-11-23T01:32:38.3158064Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3158211Z         {
2022-11-23T01:32:38.3158293Z             #pragma GCC ivdep
2022-11-23T01:32:38.3158380Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3158445Z             {
2022-11-23T01:32:38.3158511Z                 {
2022-11-23T01:32:38.3158565Z                     {
2022-11-23T01:32:38.3158738Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.3158841Z                         auto tmp1 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:38.3158937Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3159035Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:38.3159105Z                     }
2022-11-23T01:32:38.3159170Z                 }
2022-11-23T01:32:38.3159221Z             }
2022-11-23T01:32:38.3159284Z         }
2022-11-23T01:32:38.3159347Z     }
2022-11-23T01:32:38.3159407Z }
2022-11-23T01:32:38.3159489Z ''')
2022-11-23T01:32:38.3159495Z 
2022-11-23T01:32:38.3159499Z 
2022-11-23T01:32:38.3159590Z async_compile.wait(globals())
2022-11-23T01:32:38.3159665Z del async_compile
2022-11-23T01:32:38.3159670Z 
2022-11-23T01:32:38.3159727Z def call(args):
2022-11-23T01:32:38.3159804Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3159874Z     args.clear()
2022-11-23T01:32:38.3160077Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3160246Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3160313Z     del arg0_1
2022-11-23T01:32:38.3160378Z     del arg1_1
2022-11-23T01:32:38.3160437Z     return (buf0, )
2022-11-23T01:32:38.3160442Z 
2022-11-23T01:32:38.3160459Z 
2022-11-23T01:32:38.3160521Z if __name__ == "__main__":
2022-11-23T01:32:38.3160634Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3160755Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3160951Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3161147Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3161266Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3161270Z 
2022-11-23T01:32:38.3161339Z ok (2.630s)
2022-11-23T01:32:38.3161683Z   test_cpu_broadcast2_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:31,796] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3161953Z [2022-11-23 01:30:31,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3162169Z [2022-11-23 01:30:31,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3162422Z [2022-11-23 01:30:31,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3162706Z [2022-11-23 01:30:31,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3163028Z [2022-11-23 01:30:31,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3163362Z [2022-11-23 01:30:31,797] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3163454Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3163544Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3163605Z               4 BINARY_ADD
2022-11-23T01:32:38.3163694Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3163769Z               8 RETURN_VALUE
2022-11-23T01:32:38.3163830Z  
2022-11-23T01:32:38.3163836Z 
2022-11-23T01:32:38.3164101Z [2022-11-23 01:30:31,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3164312Z [2022-11-23 01:30:31,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3164579Z [2022-11-23 01:30:31,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3164851Z [2022-11-23 01:30:31,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3165117Z [2022-11-23 01:30:31,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3165350Z [2022-11-23 01:30:31,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3165683Z [2022-11-23 01:30:31,802] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3165927Z [2022-11-23 01:30:31,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3166161Z [2022-11-23 01:30:31,802] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3166417Z [2022-11-23 01:30:31,804] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3166662Z [2022-11-23 01:30:31,816] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3166850Z [2022-11-23 01:30:31,816] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3166984Z  __compiled_fn_468 <eval_with_key>.2887 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3167072Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3167145Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3167322Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3167415Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3167423Z 
2022-11-23T01:32:38.3167699Z [2022-11-23 01:30:31,817] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3167792Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3167885Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3167976Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3168054Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3168131Z               8 RETURN_VALUE
2022-11-23T01:32:38.3168136Z 
2022-11-23T01:32:38.3168198Z  
2022-11-23T01:32:38.3168473Z [2022-11-23 01:30:31,817] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3168581Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_468)
2022-11-23T01:32:38.3168672Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3168763Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3168839Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3168913Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3168999Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3169074Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3169166Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3169269Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3169369Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3169458Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3169522Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3169609Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3169683Z              26 RETURN_VALUE
2022-11-23T01:32:38.3169688Z 
2022-11-23T01:32:38.3169748Z  
2022-11-23T01:32:38.3169927Z [2022-11-23 01:30:31,819] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3169995Z  - 
2022-11-23T01:32:38.3170111Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3170163Z             {
2022-11-23T01:32:38.3170301Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3170487Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3170605Z                 'obj_weakref': None
2022-11-23T01:32:38.3170862Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3170930Z             }
2022-11-23T01:32:38.3170993Z             
2022-11-23T01:32:38.3171049Z  - 
2022-11-23T01:32:38.3171197Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3171260Z             {
2022-11-23T01:32:38.3171402Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3171509Z                 'code': None,
2022-11-23T01:32:38.3171717Z                 'obj_weakref': <weakref at 0x7f710636c470; to 'Tensor' at 0x7f70f2c70290>
2022-11-23T01:32:38.3171965Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3172016Z             }
2022-11-23T01:32:38.3172078Z             
2022-11-23T01:32:38.3172146Z  - 
2022-11-23T01:32:38.3172269Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3172330Z             {
2022-11-23T01:32:38.3172474Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3172580Z                 'code': None,
2022-11-23T01:32:38.3172772Z                 'obj_weakref': <weakref at 0x7f7106787e90; to 'Tensor' at 0x7f70f276c1d0>
2022-11-23T01:32:38.3173020Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3173082Z             }
2022-11-23T01:32:38.3173144Z             
2022-11-23T01:32:38.3173212Z  - 
2022-11-23T01:32:38.3173342Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3173404Z             {
2022-11-23T01:32:38.3173524Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3173692Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3173810Z                 'obj_weakref': None
2022-11-23T01:32:38.3174039Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3174101Z             }
2022-11-23T01:32:38.3174166Z             
2022-11-23T01:32:38.3174234Z  - 
2022-11-23T01:32:38.3174342Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3174403Z             {
2022-11-23T01:32:38.3174540Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3174759Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3174876Z                 'obj_weakref': None
2022-11-23T01:32:38.3175090Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3175152Z             }
2022-11-23T01:32:38.3175202Z             
2022-11-23T01:32:38.3175458Z [2022-11-23 01:30:31,830] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 460
2022-11-23T01:32:38.3175832Z [2022-11-23 01:30:34,411] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ai/caivxgummyxct43ukec45ahsopndghvlvf4lwjfg3ybxekokyitz.py
2022-11-23T01:32:38.3176095Z [2022-11-23 01:30:34,412] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 460
2022-11-23T01:32:38.3176101Z 
2022-11-23T01:32:38.3176192Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3176261Z import torch
2022-11-23T01:32:38.3176328Z import random
2022-11-23T01:32:38.3176446Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3176554Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3176571Z 
2022-11-23T01:32:38.3176635Z aten = torch.ops.aten
2022-11-23T01:32:38.3176768Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3176863Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3176868Z 
2022-11-23T01:32:38.3176872Z 
2022-11-23T01:32:38.3177036Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3177244Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3177364Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3177504Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3177604Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3177653Z {
2022-11-23T01:32:38.3177749Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3177810Z     {
2022-11-23T01:32:38.3177912Z         #pragma omp for 
2022-11-23T01:32:38.3177995Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3178057Z         {
2022-11-23T01:32:38.3178124Z             #pragma GCC ivdep
2022-11-23T01:32:38.3178209Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3178272Z             {
2022-11-23T01:32:38.3178339Z                 {
2022-11-23T01:32:38.3178405Z                     {
2022-11-23T01:32:38.3178499Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.3178592Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:38.3178672Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3178769Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:38.3178837Z                     }
2022-11-23T01:32:38.3178901Z                 }
2022-11-23T01:32:38.3178964Z             }
2022-11-23T01:32:38.3179025Z         }
2022-11-23T01:32:38.3179086Z     }
2022-11-23T01:32:38.3179133Z }
2022-11-23T01:32:38.3179211Z ''')
2022-11-23T01:32:38.3179218Z 
2022-11-23T01:32:38.3179223Z 
2022-11-23T01:32:38.3179312Z async_compile.wait(globals())
2022-11-23T01:32:38.3179383Z del async_compile
2022-11-23T01:32:38.3179388Z 
2022-11-23T01:32:38.3179459Z def call(args):
2022-11-23T01:32:38.3179534Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3179604Z     args.clear()
2022-11-23T01:32:38.3179801Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3179961Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3180030Z     del arg0_1
2022-11-23T01:32:38.3180096Z     del arg1_1
2022-11-23T01:32:38.3180167Z     return (buf0, )
2022-11-23T01:32:38.3180174Z 
2022-11-23T01:32:38.3180177Z 
2022-11-23T01:32:38.3180252Z if __name__ == "__main__":
2022-11-23T01:32:38.3180365Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3180487Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3180684Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3180877Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3180991Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3180996Z 
2022-11-23T01:32:38.3181063Z ok (2.630s)
2022-11-23T01:32:38.3181417Z   test_cpu_broadcast2_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:34,426] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3181686Z [2022-11-23 01:30:34,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3181906Z [2022-11-23 01:30:34,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3182159Z [2022-11-23 01:30:34,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3182446Z [2022-11-23 01:30:34,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3182757Z [2022-11-23 01:30:34,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3183084Z [2022-11-23 01:30:34,427] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3183175Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3183266Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3183339Z               4 BINARY_ADD
2022-11-23T01:32:38.3183457Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3183535Z               8 RETURN_VALUE
2022-11-23T01:32:38.3183583Z  
2022-11-23T01:32:38.3183600Z 
2022-11-23T01:32:38.3183853Z [2022-11-23 01:30:34,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3184088Z [2022-11-23 01:30:34,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3184327Z [2022-11-23 01:30:34,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3184717Z [2022-11-23 01:30:34,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3184965Z [2022-11-23 01:30:34,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3185210Z [2022-11-23 01:30:34,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3185551Z [2022-11-23 01:30:34,431] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3185796Z [2022-11-23 01:30:34,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3186030Z [2022-11-23 01:30:34,431] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3186267Z [2022-11-23 01:30:34,434] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3186514Z [2022-11-23 01:30:34,440] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3186700Z [2022-11-23 01:30:34,440] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3186835Z  __compiled_fn_469 <eval_with_key>.2893 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3186926Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3187013Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3187192Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3187289Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3187294Z 
2022-11-23T01:32:38.3187561Z [2022-11-23 01:30:34,441] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3187656Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3187745Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3187838Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3187929Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3188005Z               8 RETURN_VALUE
2022-11-23T01:32:38.3188010Z 
2022-11-23T01:32:38.3188074Z  
2022-11-23T01:32:38.3188346Z [2022-11-23 01:30:34,441] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3188440Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_469)
2022-11-23T01:32:38.3188530Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3188618Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3188694Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3188782Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3188870Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3188946Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3189023Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3189125Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3189224Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3189312Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3189387Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3189473Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3189603Z              26 RETURN_VALUE
2022-11-23T01:32:38.3189608Z 
2022-11-23T01:32:38.3189655Z  
2022-11-23T01:32:38.3189877Z [2022-11-23 01:30:34,443] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3189945Z  - 
2022-11-23T01:32:38.3190064Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3190127Z             {
2022-11-23T01:32:38.3190266Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3190480Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3190589Z                 'obj_weakref': None
2022-11-23T01:32:38.3190810Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3190874Z             }
2022-11-23T01:32:38.3190939Z             
2022-11-23T01:32:38.3191009Z  - 
2022-11-23T01:32:38.3191132Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3191195Z             {
2022-11-23T01:32:38.3191324Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3191431Z                 'code': None,
2022-11-23T01:32:38.3191640Z                 'obj_weakref': <weakref at 0x7f710636cad0; to 'Tensor' at 0x7f70f11f6d70>
2022-11-23T01:32:38.3191891Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3191954Z             }
2022-11-23T01:32:38.3192016Z             
2022-11-23T01:32:38.3192086Z  - 
2022-11-23T01:32:38.3192199Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3192264Z             {
2022-11-23T01:32:38.3192407Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3192516Z                 'code': None,
2022-11-23T01:32:38.3192722Z                 'obj_weakref': <weakref at 0x7f7106262350; to 'Tensor' at 0x7f71c4695890>
2022-11-23T01:32:38.3192970Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3193035Z             }
2022-11-23T01:32:38.3193100Z             
2022-11-23T01:32:38.3193156Z  - 
2022-11-23T01:32:38.3193288Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3193355Z             {
2022-11-23T01:32:38.3193489Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3193660Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3193778Z                 'obj_weakref': None
2022-11-23T01:32:38.3193997Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3194061Z             }
2022-11-23T01:32:38.3194125Z             
2022-11-23T01:32:38.3194195Z  - 
2022-11-23T01:32:38.3194319Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3194384Z             {
2022-11-23T01:32:38.3194521Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3194725Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3194843Z                 'obj_weakref': None
2022-11-23T01:32:38.3195066Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3195134Z             }
2022-11-23T01:32:38.3195198Z             
2022-11-23T01:32:38.3195461Z [2022-11-23 01:30:34,455] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 461
2022-11-23T01:32:38.3195834Z [2022-11-23 01:30:34,470] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i3/ci3vzbs3yzcvvslx6dauysnwj6p7vywmcf5jztkae6quadv7r56t.py
2022-11-23T01:32:38.3196098Z [2022-11-23 01:30:34,471] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 461
2022-11-23T01:32:38.3196104Z 
2022-11-23T01:32:38.3196255Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3196312Z import torch
2022-11-23T01:32:38.3196384Z import random
2022-11-23T01:32:38.3196499Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3196622Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3196627Z 
2022-11-23T01:32:38.3196707Z aten = torch.ops.aten
2022-11-23T01:32:38.3196874Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3196968Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3196974Z 
2022-11-23T01:32:38.3196978Z 
2022-11-23T01:32:38.3197098Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3197528Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3197649Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3197753Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3197853Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3197919Z {
2022-11-23T01:32:38.3198019Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3198080Z     {
2022-11-23T01:32:38.3198146Z         #pragma omp for 
2022-11-23T01:32:38.3198229Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3198293Z         {
2022-11-23T01:32:38.3198358Z             {
2022-11-23T01:32:38.3198422Z                 {
2022-11-23T01:32:38.3198517Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.3198596Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.3198686Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3198773Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.3198839Z                 }
2022-11-23T01:32:38.3198905Z             }
2022-11-23T01:32:38.3198967Z         }
2022-11-23T01:32:38.3199029Z     }
2022-11-23T01:32:38.3199076Z }
2022-11-23T01:32:38.3199158Z ''')
2022-11-23T01:32:38.3199165Z 
2022-11-23T01:32:38.3199169Z 
2022-11-23T01:32:38.3199258Z async_compile.wait(globals())
2022-11-23T01:32:38.3199330Z del async_compile
2022-11-23T01:32:38.3199335Z 
2022-11-23T01:32:38.3199404Z def call(args):
2022-11-23T01:32:38.3199479Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3199549Z     args.clear()
2022-11-23T01:32:38.3199743Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3199907Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3199978Z     del arg0_1
2022-11-23T01:32:38.3200046Z     del arg1_1
2022-11-23T01:32:38.3200118Z     return (buf0, )
2022-11-23T01:32:38.3200122Z 
2022-11-23T01:32:38.3200127Z 
2022-11-23T01:32:38.3200202Z if __name__ == "__main__":
2022-11-23T01:32:38.3200321Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3200441Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3200636Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3200833Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3200947Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3200952Z 
2022-11-23T01:32:38.3201018Z ok (0.057s)
2022-11-23T01:32:38.3201371Z   test_cpu_broadcast2_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:34,480] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3201642Z [2022-11-23 01:30:34,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3201858Z [2022-11-23 01:30:34,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3202113Z [2022-11-23 01:30:34,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3202401Z [2022-11-23 01:30:34,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3202712Z [2022-11-23 01:30:34,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3203040Z [2022-11-23 01:30:34,481] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3203172Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3203262Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3203335Z               4 BINARY_ADD
2022-11-23T01:32:38.3203423Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3203498Z               8 RETURN_VALUE
2022-11-23T01:32:38.3203585Z  
2022-11-23T01:32:38.3203591Z 
2022-11-23T01:32:38.3203846Z [2022-11-23 01:30:34,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3204051Z [2022-11-23 01:30:34,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3204288Z [2022-11-23 01:30:34,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3204558Z [2022-11-23 01:30:34,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3204800Z [2022-11-23 01:30:34,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3205045Z [2022-11-23 01:30:34,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3205381Z [2022-11-23 01:30:34,484] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3205625Z [2022-11-23 01:30:34,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3205863Z [2022-11-23 01:30:34,485] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3206103Z [2022-11-23 01:30:34,486] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3206351Z [2022-11-23 01:30:34,492] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3206539Z [2022-11-23 01:30:34,493] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3206675Z  __compiled_fn_470 <eval_with_key>.2899 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3206765Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3206851Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3207028Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3207126Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3207132Z 
2022-11-23T01:32:38.3207393Z [2022-11-23 01:30:34,493] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3207489Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3207578Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3207671Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3207760Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3207835Z               8 RETURN_VALUE
2022-11-23T01:32:38.3207840Z 
2022-11-23T01:32:38.3207901Z  
2022-11-23T01:32:38.3208174Z [2022-11-23 01:30:34,493] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3208268Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_470)
2022-11-23T01:32:38.3208355Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3208446Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3208524Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3208612Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3208697Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3208772Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3208847Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3208951Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3209051Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3209139Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3209214Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3209332Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3209406Z              26 RETURN_VALUE
2022-11-23T01:32:38.3209411Z 
2022-11-23T01:32:38.3209470Z  
2022-11-23T01:32:38.3209639Z [2022-11-23 01:30:34,495] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3209708Z  - 
2022-11-23T01:32:38.3209853Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3209918Z             {
2022-11-23T01:32:38.3210058Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3210245Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3210363Z                 'obj_weakref': None
2022-11-23T01:32:38.3210574Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3210638Z             }
2022-11-23T01:32:38.3210700Z             
2022-11-23T01:32:38.3210768Z  - 
2022-11-23T01:32:38.3210891Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3210955Z             {
2022-11-23T01:32:38.3211083Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3211190Z                 'code': None,
2022-11-23T01:32:38.3211395Z                 'obj_weakref': <weakref at 0x7f7106e85b30; to 'Tensor' at 0x7f7106c586b0>
2022-11-23T01:32:38.3211642Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3211705Z             }
2022-11-23T01:32:38.3211768Z             
2022-11-23T01:32:38.3211835Z  - 
2022-11-23T01:32:38.3211956Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3212006Z             {
2022-11-23T01:32:38.3212146Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3212253Z                 'code': None,
2022-11-23T01:32:38.3212460Z                 'obj_weakref': <weakref at 0x7f70f2c7be90; to 'Tensor' at 0x7f70f2ddc4d0>
2022-11-23T01:32:38.3212707Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3212772Z             }
2022-11-23T01:32:38.3212837Z             
2022-11-23T01:32:38.3212894Z  - 
2022-11-23T01:32:38.3213023Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3213086Z             {
2022-11-23T01:32:38.3213219Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3213389Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3213506Z                 'obj_weakref': None
2022-11-23T01:32:38.3213737Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3213788Z             }
2022-11-23T01:32:38.3213849Z             
2022-11-23T01:32:38.3213916Z  - 
2022-11-23T01:32:38.3214036Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3214098Z             {
2022-11-23T01:32:38.3214232Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3214437Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3214555Z                 'obj_weakref': None
2022-11-23T01:32:38.3214770Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3214833Z             }
2022-11-23T01:32:38.3214896Z             
2022-11-23T01:32:38.3215158Z [2022-11-23 01:30:34,505] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 462
2022-11-23T01:32:38.3215523Z [2022-11-23 01:30:34,522] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/w5/cw5lnersdjd7b576gxt75kkvhuavdqadlatyhfxwz72urktagfr5.py
2022-11-23T01:32:38.3215786Z [2022-11-23 01:30:34,523] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 462
2022-11-23T01:32:38.3215792Z 
2022-11-23T01:32:38.3215883Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3215938Z import torch
2022-11-23T01:32:38.3216006Z import random
2022-11-23T01:32:38.3216118Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3216268Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3216274Z 
2022-11-23T01:32:38.3216352Z aten = torch.ops.aten
2022-11-23T01:32:38.3216485Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3216577Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3216616Z 
2022-11-23T01:32:38.3216621Z 
2022-11-23T01:32:38.3216755Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3216947Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3217068Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3217172Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3217270Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3217334Z {
2022-11-23T01:32:38.3217430Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3217493Z     {
2022-11-23T01:32:38.3217557Z         #pragma omp for 
2022-11-23T01:32:38.3217641Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3217703Z         {
2022-11-23T01:32:38.3217766Z             {
2022-11-23T01:32:38.3217829Z                 {
2022-11-23T01:32:38.3217921Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.3218000Z                     auto tmp1 = in_ptr1[0];
2022-11-23T01:32:38.3218089Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3218174Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.3218238Z                 }
2022-11-23T01:32:38.3218300Z             }
2022-11-23T01:32:38.3218361Z         }
2022-11-23T01:32:38.3218421Z     }
2022-11-23T01:32:38.3218467Z }
2022-11-23T01:32:38.3218543Z ''')
2022-11-23T01:32:38.3218549Z 
2022-11-23T01:32:38.3218553Z 
2022-11-23T01:32:38.3218641Z async_compile.wait(globals())
2022-11-23T01:32:38.3218712Z del async_compile
2022-11-23T01:32:38.3218717Z 
2022-11-23T01:32:38.3218787Z def call(args):
2022-11-23T01:32:38.3218861Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3218935Z     args.clear()
2022-11-23T01:32:38.3219127Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3219291Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3219361Z     del arg0_1
2022-11-23T01:32:38.3219428Z     del arg1_1
2022-11-23T01:32:38.3219499Z     return (buf0, )
2022-11-23T01:32:38.3219504Z 
2022-11-23T01:32:38.3219508Z 
2022-11-23T01:32:38.3219583Z if __name__ == "__main__":
2022-11-23T01:32:38.3219696Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3219819Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3220011Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3220200Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3220311Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3220318Z 
2022-11-23T01:32:38.3220384Z ok (0.052s)
2022-11-23T01:32:38.3220730Z   test_cpu_broadcast2_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:34,532] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3221001Z [2022-11-23 01:30:34,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3221219Z [2022-11-23 01:30:34,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3221470Z [2022-11-23 01:30:34,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3221754Z [2022-11-23 01:30:34,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3222065Z [2022-11-23 01:30:34,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3222395Z [2022-11-23 01:30:34,532] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3222517Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3222607Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3222707Z               4 BINARY_ADD
2022-11-23T01:32:38.3222796Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3222872Z               8 RETURN_VALUE
2022-11-23T01:32:38.3222933Z  
2022-11-23T01:32:38.3222938Z 
2022-11-23T01:32:38.3223190Z [2022-11-23 01:30:34,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3223396Z [2022-11-23 01:30:34,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3223631Z [2022-11-23 01:30:34,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3223903Z [2022-11-23 01:30:34,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3224143Z [2022-11-23 01:30:34,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3224391Z [2022-11-23 01:30:34,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3224819Z [2022-11-23 01:30:34,536] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3225063Z [2022-11-23 01:30:34,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3225297Z [2022-11-23 01:30:34,537] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3225536Z [2022-11-23 01:30:34,538] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3225784Z [2022-11-23 01:30:34,544] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3225975Z [2022-11-23 01:30:34,544] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3226112Z  __compiled_fn_471 <eval_with_key>.2905 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3226204Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3226292Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3226467Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3226561Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3226566Z 
2022-11-23T01:32:38.3226842Z [2022-11-23 01:30:34,545] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3226922Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3227012Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3227104Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3227197Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3227272Z               8 RETURN_VALUE
2022-11-23T01:32:38.3227277Z 
2022-11-23T01:32:38.3227338Z  
2022-11-23T01:32:38.3227617Z [2022-11-23 01:30:34,545] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3227712Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_471)
2022-11-23T01:32:38.3227801Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3227889Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3227965Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3228053Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3228140Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3228215Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3228291Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3228393Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3228493Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3228620Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3228695Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3228782Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3228856Z              26 RETURN_VALUE
2022-11-23T01:32:38.3228887Z 
2022-11-23T01:32:38.3228947Z  
2022-11-23T01:32:38.3229116Z [2022-11-23 01:30:34,547] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3229184Z  - 
2022-11-23T01:32:38.3229301Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3229365Z             {
2022-11-23T01:32:38.3229503Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3229688Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3229806Z                 'obj_weakref': None
2022-11-23T01:32:38.3230017Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3230083Z             }
2022-11-23T01:32:38.3230147Z             
2022-11-23T01:32:38.3230215Z  - 
2022-11-23T01:32:38.3230342Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3230406Z             {
2022-11-23T01:32:38.3230550Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3230644Z                 'code': None,
2022-11-23T01:32:38.3230856Z                 'obj_weakref': <weakref at 0x7f7106926d10; to 'Tensor' at 0x7f710ce3a350>
2022-11-23T01:32:38.3231108Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3231174Z             }
2022-11-23T01:32:38.3231238Z             
2022-11-23T01:32:38.3231307Z  - 
2022-11-23T01:32:38.3231432Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3231483Z             {
2022-11-23T01:32:38.3231625Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3231733Z                 'code': None,
2022-11-23T01:32:38.3231943Z                 'obj_weakref': <weakref at 0x7f7106e85c50; to 'Tensor' at 0x7f7106c32950>
2022-11-23T01:32:38.3232193Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3232258Z             }
2022-11-23T01:32:38.3232323Z             
2022-11-23T01:32:38.3232379Z  - 
2022-11-23T01:32:38.3232511Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3232577Z             {
2022-11-23T01:32:38.3232713Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3232883Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3233000Z                 'obj_weakref': None
2022-11-23T01:32:38.3233232Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3233282Z             }
2022-11-23T01:32:38.3233346Z             
2022-11-23T01:32:38.3233415Z  - 
2022-11-23T01:32:38.3233538Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3233604Z             {
2022-11-23T01:32:38.3233740Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3233958Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3234063Z                 'obj_weakref': None
2022-11-23T01:32:38.3234285Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3234350Z             }
2022-11-23T01:32:38.3234414Z             
2022-11-23T01:32:38.3234675Z [2022-11-23 01:30:34,556] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 463
2022-11-23T01:32:38.3235045Z [2022-11-23 01:30:34,574] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3u/c3uwdw2c4nt6awxwzaasrlqmro6hfp3h7yn4p4oazesorcwh7eft.py
2022-11-23T01:32:38.3235310Z [2022-11-23 01:30:34,574] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 463
2022-11-23T01:32:38.3235315Z 
2022-11-23T01:32:38.3235441Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3235497Z import torch
2022-11-23T01:32:38.3235567Z import random
2022-11-23T01:32:38.3235682Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3235807Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3235812Z 
2022-11-23T01:32:38.3235917Z aten = torch.ops.aten
2022-11-23T01:32:38.3236056Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3236149Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3236154Z 
2022-11-23T01:32:38.3236159Z 
2022-11-23T01:32:38.3236292Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3236485Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3236607Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3236712Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3236813Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3236880Z {
2022-11-23T01:32:38.3236976Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3237041Z     {
2022-11-23T01:32:38.3237213Z         #pragma omp for 
2022-11-23T01:32:38.3237296Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3237361Z         {
2022-11-23T01:32:38.3237444Z             #pragma GCC ivdep
2022-11-23T01:32:38.3237529Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3237594Z             {
2022-11-23T01:32:38.3237659Z                 {
2022-11-23T01:32:38.3237713Z                     {
2022-11-23T01:32:38.3237810Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.3237912Z                         auto tmp1 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:38.3238007Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3238103Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:38.3238172Z                     }
2022-11-23T01:32:38.3238238Z                 }
2022-11-23T01:32:38.3238288Z             }
2022-11-23T01:32:38.3238353Z         }
2022-11-23T01:32:38.3238416Z     }
2022-11-23T01:32:38.3238480Z }
2022-11-23T01:32:38.3238559Z ''')
2022-11-23T01:32:38.3238565Z 
2022-11-23T01:32:38.3238569Z 
2022-11-23T01:32:38.3238660Z async_compile.wait(globals())
2022-11-23T01:32:38.3238719Z del async_compile
2022-11-23T01:32:38.3238738Z 
2022-11-23T01:32:38.3238794Z def call(args):
2022-11-23T01:32:38.3238869Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3238939Z     args.clear()
2022-11-23T01:32:38.3239147Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3239312Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3239380Z     del arg0_1
2022-11-23T01:32:38.3239446Z     del arg1_1
2022-11-23T01:32:38.3239504Z     return (buf0, )
2022-11-23T01:32:38.3239509Z 
2022-11-23T01:32:38.3239513Z 
2022-11-23T01:32:38.3239587Z if __name__ == "__main__":
2022-11-23T01:32:38.3239699Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3239822Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3240029Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3240229Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3240342Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3240346Z 
2022-11-23T01:32:38.3240413Z ok (0.051s)
2022-11-23T01:32:38.3240747Z   test_cpu_broadcast2_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:34,584] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3241016Z [2022-11-23 01:30:34,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3241231Z [2022-11-23 01:30:34,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3241483Z [2022-11-23 01:30:34,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3241829Z [2022-11-23 01:30:34,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3242217Z [2022-11-23 01:30:34,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3242555Z [2022-11-23 01:30:34,585] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3242646Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3242737Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3242798Z               4 BINARY_ADD
2022-11-23T01:32:38.3242887Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3242964Z               8 RETURN_VALUE
2022-11-23T01:32:38.3243026Z  
2022-11-23T01:32:38.3243031Z 
2022-11-23T01:32:38.3243299Z [2022-11-23 01:30:34,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3243505Z [2022-11-23 01:30:34,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3243746Z [2022-11-23 01:30:34,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3244021Z [2022-11-23 01:30:34,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3244251Z [2022-11-23 01:30:34,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3244498Z [2022-11-23 01:30:34,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3244830Z [2022-11-23 01:30:34,589] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3245077Z [2022-11-23 01:30:34,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3245309Z [2022-11-23 01:30:34,590] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3245565Z [2022-11-23 01:30:34,591] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3245811Z [2022-11-23 01:30:34,597] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3245999Z [2022-11-23 01:30:34,597] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3246132Z  __compiled_fn_472 <eval_with_key>.2911 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3246211Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3246297Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3246473Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3246568Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3246576Z 
2022-11-23T01:32:38.3246849Z [2022-11-23 01:30:34,598] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3246942Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3247034Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3247128Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3247206Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3247281Z               8 RETURN_VALUE
2022-11-23T01:32:38.3247286Z 
2022-11-23T01:32:38.3247346Z  
2022-11-23T01:32:38.3247615Z [2022-11-23 01:30:34,598] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3247724Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_472)
2022-11-23T01:32:38.3247812Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3247902Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3248015Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3248091Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3248177Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3248253Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3248366Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3248471Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3248571Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3248658Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3248721Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3248808Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3248882Z              26 RETURN_VALUE
2022-11-23T01:32:38.3248887Z 
2022-11-23T01:32:38.3248947Z  
2022-11-23T01:32:38.3249128Z [2022-11-23 01:30:34,600] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3249197Z  - 
2022-11-23T01:32:38.3249316Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3249370Z             {
2022-11-23T01:32:38.3249508Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3249692Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3249812Z                 'obj_weakref': None
2022-11-23T01:32:38.3250035Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3250098Z             }
2022-11-23T01:32:38.3250165Z             
2022-11-23T01:32:38.3250221Z  - 
2022-11-23T01:32:38.3250344Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3250407Z             {
2022-11-23T01:32:38.3250547Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3250654Z                 'code': None,
2022-11-23T01:32:38.3250863Z                 'obj_weakref': <weakref at 0x7f70f2e18290; to 'Tensor' at 0x7f710ce3a350>
2022-11-23T01:32:38.3251109Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3251163Z             }
2022-11-23T01:32:38.3251224Z             
2022-11-23T01:32:38.3251293Z  - 
2022-11-23T01:32:38.3251417Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3251479Z             {
2022-11-23T01:32:38.3251621Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3251727Z                 'code': None,
2022-11-23T01:32:38.3251917Z                 'obj_weakref': <weakref at 0x7f7106c586b0; to 'Tensor' at 0x7f71060d97d0>
2022-11-23T01:32:38.3252160Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3252223Z             }
2022-11-23T01:32:38.3252285Z             
2022-11-23T01:32:38.3252354Z  - 
2022-11-23T01:32:38.3252484Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3252546Z             {
2022-11-23T01:32:38.3252666Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3252836Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3252955Z                 'obj_weakref': None
2022-11-23T01:32:38.3253184Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3253248Z             }
2022-11-23T01:32:38.3253309Z             
2022-11-23T01:32:38.3253378Z  - 
2022-11-23T01:32:38.3253486Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3253547Z             {
2022-11-23T01:32:38.3253682Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3253900Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3254018Z                 'obj_weakref': None
2022-11-23T01:32:38.3254234Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3254297Z             }
2022-11-23T01:32:38.3254348Z             
2022-11-23T01:32:38.3254604Z [2022-11-23 01:30:34,610] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 464
2022-11-23T01:32:38.3255002Z [2022-11-23 01:30:37,212] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xr/cxrblxgdip3qjqmts2djdq53rv7a7hkhcmq3l425t3et4ftzyjnt.py
2022-11-23T01:32:38.3255290Z [2022-11-23 01:30:37,213] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 464
2022-11-23T01:32:38.3255297Z 
2022-11-23T01:32:38.3255390Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3255458Z import torch
2022-11-23T01:32:38.3255527Z import random
2022-11-23T01:32:38.3255641Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3255749Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3255754Z 
2022-11-23T01:32:38.3255831Z aten = torch.ops.aten
2022-11-23T01:32:38.3255965Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3256056Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3256061Z 
2022-11-23T01:32:38.3256068Z 
2022-11-23T01:32:38.3256200Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3256404Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3256522Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3256632Z                        const double* __restrict__ in_ptr1,
2022-11-23T01:32:38.3256719Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:38.3256779Z {
2022-11-23T01:32:38.3256876Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3256942Z     {
2022-11-23T01:32:38.3257019Z         #pragma omp for 
2022-11-23T01:32:38.3257100Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3257164Z         {
2022-11-23T01:32:38.3257230Z             #pragma GCC ivdep
2022-11-23T01:32:38.3257315Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3257378Z             {
2022-11-23T01:32:38.3257441Z                 {
2022-11-23T01:32:38.3257508Z                     {
2022-11-23T01:32:38.3257603Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.3257708Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:38.3257805Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:32:38.3257899Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:38.3257994Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:38.3258059Z                     }
2022-11-23T01:32:38.3258122Z                 }
2022-11-23T01:32:38.3258183Z             }
2022-11-23T01:32:38.3258245Z         }
2022-11-23T01:32:38.3258293Z     }
2022-11-23T01:32:38.3258351Z }
2022-11-23T01:32:38.3258427Z ''')
2022-11-23T01:32:38.3258432Z 
2022-11-23T01:32:38.3258437Z 
2022-11-23T01:32:38.3258526Z async_compile.wait(globals())
2022-11-23T01:32:38.3258598Z del async_compile
2022-11-23T01:32:38.3258603Z 
2022-11-23T01:32:38.3258673Z def call(args):
2022-11-23T01:32:38.3258746Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3258807Z     args.clear()
2022-11-23T01:32:38.3259015Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3259177Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3259244Z     del arg0_1
2022-11-23T01:32:38.3259313Z     del arg1_1
2022-11-23T01:32:38.3259383Z     return (buf0, )
2022-11-23T01:32:38.3259388Z 
2022-11-23T01:32:38.3259392Z 
2022-11-23T01:32:38.3259467Z if __name__ == "__main__":
2022-11-23T01:32:38.3259579Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3259688Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3259893Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3260092Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3260207Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3260289Z 
2022-11-23T01:32:38.3260355Z ok (2.641s)
2022-11-23T01:32:38.3260694Z   test_cpu_broadcast2_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:37,227] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3260988Z [2022-11-23 01:30:37,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3261206Z [2022-11-23 01:30:37,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3261447Z [2022-11-23 01:30:37,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3261732Z [2022-11-23 01:30:37,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3262056Z [2022-11-23 01:30:37,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3262382Z [2022-11-23 01:30:37,228] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3262476Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3262566Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3262645Z               4 BINARY_ADD
2022-11-23T01:32:38.3262734Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3262798Z               8 RETURN_VALUE
2022-11-23T01:32:38.3262858Z  
2022-11-23T01:32:38.3262863Z 
2022-11-23T01:32:38.3263128Z [2022-11-23 01:30:37,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3263337Z [2022-11-23 01:30:37,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3263574Z [2022-11-23 01:30:37,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3263845Z [2022-11-23 01:30:37,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3264087Z [2022-11-23 01:30:37,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3264333Z [2022-11-23 01:30:37,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3264755Z [2022-11-23 01:30:37,234] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3264990Z [2022-11-23 01:30:37,234] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3265221Z [2022-11-23 01:30:37,234] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3265473Z [2022-11-23 01:30:37,236] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3265722Z [2022-11-23 01:30:37,243] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3265913Z [2022-11-23 01:30:37,243] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3266047Z  __compiled_fn_473 <eval_with_key>.2917 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3266139Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3266226Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3266404Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3266487Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3266492Z 
2022-11-23T01:32:38.3266768Z [2022-11-23 01:30:37,244] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3266863Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3266954Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3267045Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3267136Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3267246Z               8 RETURN_VALUE
2022-11-23T01:32:38.3267252Z 
2022-11-23T01:32:38.3267312Z  
2022-11-23T01:32:38.3267571Z [2022-11-23 01:30:37,244] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3267708Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_473)
2022-11-23T01:32:38.3267801Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3267889Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3267966Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3268053Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3268139Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3268202Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3268290Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3268393Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3268494Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3268585Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3268660Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3268746Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3268808Z              26 RETURN_VALUE
2022-11-23T01:32:38.3268814Z 
2022-11-23T01:32:38.3268873Z  
2022-11-23T01:32:38.3269053Z [2022-11-23 01:30:37,246] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3269130Z  - 
2022-11-23T01:32:38.3269252Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3269317Z             {
2022-11-23T01:32:38.3269459Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3269632Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3269753Z                 'obj_weakref': None
2022-11-23T01:32:38.3269979Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3270047Z             }
2022-11-23T01:32:38.3270111Z             
2022-11-23T01:32:38.3270181Z  - 
2022-11-23T01:32:38.3270306Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3270357Z             {
2022-11-23T01:32:38.3270502Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3270611Z                 'code': None,
2022-11-23T01:32:38.3270821Z                 'obj_weakref': <weakref at 0x7f710636c5f0; to 'Tensor' at 0x7f71c470cdd0>
2022-11-23T01:32:38.3271071Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3271136Z             }
2022-11-23T01:32:38.3271201Z             
2022-11-23T01:32:38.3271257Z  - 
2022-11-23T01:32:38.3271381Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3271445Z             {
2022-11-23T01:32:38.3271589Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3271697Z                 'code': None,
2022-11-23T01:32:38.3271906Z                 'obj_weakref': <weakref at 0x7f70f1651ef0; to 'Tensor' at 0x7f710cd87cb0>
2022-11-23T01:32:38.3272160Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3272210Z             }
2022-11-23T01:32:38.3272274Z             
2022-11-23T01:32:38.3272346Z  - 
2022-11-23T01:32:38.3272478Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3272544Z             {
2022-11-23T01:32:38.3272677Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3272846Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3272953Z                 'obj_weakref': None
2022-11-23T01:32:38.3273181Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3273245Z             }
2022-11-23T01:32:38.3273309Z             
2022-11-23T01:32:38.3273380Z  - 
2022-11-23T01:32:38.3273501Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3273566Z             {
2022-11-23T01:32:38.3273718Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3273934Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3274054Z                 'obj_weakref': None
2022-11-23T01:32:38.3274300Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3274366Z             }
2022-11-23T01:32:38.3274433Z             
2022-11-23T01:32:38.3274693Z [2022-11-23 01:30:37,257] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 465
2022-11-23T01:32:38.3275060Z [2022-11-23 01:30:39,866] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5y/c5yw2bpyrp7tw6pjvthjk5anfk2ppnoctc6ezfnrlokdzwjnimfi.py
2022-11-23T01:32:38.3275310Z [2022-11-23 01:30:39,867] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 465
2022-11-23T01:32:38.3275329Z 
2022-11-23T01:32:38.3275409Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3275481Z import torch
2022-11-23T01:32:38.3275551Z import random
2022-11-23T01:32:38.3275666Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3275786Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3275792Z 
2022-11-23T01:32:38.3275873Z aten = torch.ops.aten
2022-11-23T01:32:38.3276007Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3276086Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3276091Z 
2022-11-23T01:32:38.3276095Z 
2022-11-23T01:32:38.3276228Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3276434Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3276554Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3276659Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:32:38.3276759Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3276826Z {
2022-11-23T01:32:38.3276910Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3276969Z     {
2022-11-23T01:32:38.3277045Z         #pragma omp for 
2022-11-23T01:32:38.3277246Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3277310Z         {
2022-11-23T01:32:38.3277392Z             #pragma GCC ivdep
2022-11-23T01:32:38.3277478Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3277529Z             {
2022-11-23T01:32:38.3277594Z                 {
2022-11-23T01:32:38.3277661Z                     {
2022-11-23T01:32:38.3277756Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.3277850Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:38.3277961Z                         auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:32:38.3278053Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:38.3278136Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:38.3278203Z                     }
2022-11-23T01:32:38.3278270Z                 }
2022-11-23T01:32:38.3278333Z             }
2022-11-23T01:32:38.3278396Z         }
2022-11-23T01:32:38.3278459Z     }
2022-11-23T01:32:38.3278522Z }
2022-11-23T01:32:38.3278587Z ''')
2022-11-23T01:32:38.3278592Z 
2022-11-23T01:32:38.3278596Z 
2022-11-23T01:32:38.3278687Z async_compile.wait(globals())
2022-11-23T01:32:38.3278758Z del async_compile
2022-11-23T01:32:38.3278763Z 
2022-11-23T01:32:38.3278832Z def call(args):
2022-11-23T01:32:38.3278912Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3278982Z     args.clear()
2022-11-23T01:32:38.3279190Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3279341Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3279408Z     del arg0_1
2022-11-23T01:32:38.3279473Z     del arg1_1
2022-11-23T01:32:38.3279543Z     return (buf0, )
2022-11-23T01:32:38.3279548Z 
2022-11-23T01:32:38.3279552Z 
2022-11-23T01:32:38.3279684Z if __name__ == "__main__":
2022-11-23T01:32:38.3279798Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3279919Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3280128Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3280347Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:38.3280492Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3280497Z 
2022-11-23T01:32:38.3280563Z ok (2.654s)
2022-11-23T01:32:38.3280910Z   test_cpu_broadcast2_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:39,883] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3281179Z [2022-11-23 01:30:39,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3281401Z [2022-11-23 01:30:39,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3281656Z [2022-11-23 01:30:39,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3281941Z [2022-11-23 01:30:39,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3282268Z [2022-11-23 01:30:39,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3282589Z [2022-11-23 01:30:39,884] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3282679Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3282770Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3282842Z               4 BINARY_ADD
2022-11-23T01:32:38.3282931Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3283006Z               8 RETURN_VALUE
2022-11-23T01:32:38.3283070Z  
2022-11-23T01:32:38.3283075Z 
2022-11-23T01:32:38.3283343Z [2022-11-23 01:30:39,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3283538Z [2022-11-23 01:30:39,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3283777Z [2022-11-23 01:30:39,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3284051Z [2022-11-23 01:30:39,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3284292Z [2022-11-23 01:30:39,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3284539Z [2022-11-23 01:30:39,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3284872Z [2022-11-23 01:30:39,889] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3285117Z [2022-11-23 01:30:39,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3285351Z [2022-11-23 01:30:39,889] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3285605Z [2022-11-23 01:30:39,892] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3285840Z [2022-11-23 01:30:39,900] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3286027Z [2022-11-23 01:30:39,900] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3286160Z  __compiled_fn_474 <eval_with_key>.2923 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3286248Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3286334Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3286511Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3286638Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3286644Z 
2022-11-23T01:32:38.3286920Z [2022-11-23 01:30:39,901] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3287040Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3287134Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3287226Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3287315Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3287391Z               8 RETURN_VALUE
2022-11-23T01:32:38.3287396Z 
2022-11-23T01:32:38.3287456Z  
2022-11-23T01:32:38.3287733Z [2022-11-23 01:30:39,901] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3287840Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_474)
2022-11-23T01:32:38.3287916Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3288007Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3288082Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3288168Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3288255Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3288330Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3288419Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3288509Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3288607Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3288695Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3288770Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3288857Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3288933Z              26 RETURN_VALUE
2022-11-23T01:32:38.3288938Z 
2022-11-23T01:32:38.3288998Z  
2022-11-23T01:32:38.3289167Z [2022-11-23 01:30:39,903] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3289238Z  - 
2022-11-23T01:32:38.3289356Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3289420Z             {
2022-11-23T01:32:38.3289558Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3289743Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3289864Z                 'obj_weakref': None
2022-11-23T01:32:38.3290086Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3290138Z             }
2022-11-23T01:32:38.3290200Z             
2022-11-23T01:32:38.3290267Z  - 
2022-11-23T01:32:38.3290390Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3290451Z             {
2022-11-23T01:32:38.3290593Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3290686Z                 'code': None,
2022-11-23T01:32:38.3290892Z                 'obj_weakref': <weakref at 0x7f7106764c50; to 'Tensor' at 0x7f70f2d72fb0>
2022-11-23T01:32:38.3291142Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3291206Z             }
2022-11-23T01:32:38.3291268Z             
2022-11-23T01:32:38.3291335Z  - 
2022-11-23T01:32:38.3291458Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3291510Z             {
2022-11-23T01:32:38.3291651Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3291755Z                 'code': None,
2022-11-23T01:32:38.3291962Z                 'obj_weakref': <weakref at 0x7f71c0deb470; to 'Tensor' at 0x7f7106e10830>
2022-11-23T01:32:38.3292209Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3292272Z             }
2022-11-23T01:32:38.3292333Z             
2022-11-23T01:32:38.3292390Z  - 
2022-11-23T01:32:38.3292518Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3292580Z             {
2022-11-23T01:32:38.3292713Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3292919Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3293037Z                 'obj_weakref': None
2022-11-23T01:32:38.3293264Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3293353Z             }
2022-11-23T01:32:38.3293403Z             
2022-11-23T01:32:38.3293474Z  - 
2022-11-23T01:32:38.3293594Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3293656Z             {
2022-11-23T01:32:38.3293790Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3294004Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3294108Z                 'obj_weakref': None
2022-11-23T01:32:38.3294323Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3294385Z             }
2022-11-23T01:32:38.3294446Z             
2022-11-23T01:32:38.3294709Z [2022-11-23 01:30:39,915] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 466
2022-11-23T01:32:38.3295084Z [2022-11-23 01:30:42,491] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/az/cazqlby2qmunqhgshnh25rtukp4uucq4wyaiacwu6gznncdrkmns.py
2022-11-23T01:32:38.3295347Z [2022-11-23 01:30:42,492] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 466
2022-11-23T01:32:38.3295353Z 
2022-11-23T01:32:38.3295446Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3295514Z import torch
2022-11-23T01:32:38.3295570Z import random
2022-11-23T01:32:38.3295683Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3295805Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3295810Z 
2022-11-23T01:32:38.3295888Z aten = torch.ops.aten
2022-11-23T01:32:38.3296024Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3296118Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3296125Z 
2022-11-23T01:32:38.3296129Z 
2022-11-23T01:32:38.3296264Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3296457Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3296578Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3296680Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3296778Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3296840Z {
2022-11-23T01:32:38.3296936Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3296997Z     {
2022-11-23T01:32:38.3297073Z         #pragma omp for 
2022-11-23T01:32:38.3297142Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3297204Z         {
2022-11-23T01:32:38.3297282Z             #pragma GCC ivdep
2022-11-23T01:32:38.3297368Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3297431Z             {
2022-11-23T01:32:38.3297499Z                 {
2022-11-23T01:32:38.3297553Z                     {
2022-11-23T01:32:38.3297647Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.3297751Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T01:32:38.3297844Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3297942Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:38.3298008Z                     }
2022-11-23T01:32:38.3298072Z                 }
2022-11-23T01:32:38.3298122Z             }
2022-11-23T01:32:38.3298183Z         }
2022-11-23T01:32:38.3298243Z     }
2022-11-23T01:32:38.3298303Z }
2022-11-23T01:32:38.3298380Z ''')
2022-11-23T01:32:38.3298384Z 
2022-11-23T01:32:38.3298388Z 
2022-11-23T01:32:38.3298476Z async_compile.wait(globals())
2022-11-23T01:32:38.3298547Z del async_compile
2022-11-23T01:32:38.3298552Z 
2022-11-23T01:32:38.3298609Z def call(args):
2022-11-23T01:32:38.3298684Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3298753Z     args.clear()
2022-11-23T01:32:38.3298990Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3299157Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3299225Z     del arg0_1
2022-11-23T01:32:38.3299317Z     del arg1_1
2022-11-23T01:32:38.3299377Z     return (buf0, )
2022-11-23T01:32:38.3299393Z 
2022-11-23T01:32:38.3299397Z 
2022-11-23T01:32:38.3299460Z if __name__ == "__main__":
2022-11-23T01:32:38.3299572Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3299693Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3299899Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3300097Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3300209Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3300214Z 
2022-11-23T01:32:38.3300282Z ok (2.625s)
2022-11-23T01:32:38.3300632Z   test_cpu_broadcast2_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:42,508] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3300892Z [2022-11-23 01:30:42,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3301109Z [2022-11-23 01:30:42,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3301364Z [2022-11-23 01:30:42,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3301650Z [2022-11-23 01:30:42,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3301975Z [2022-11-23 01:30:42,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3302304Z [2022-11-23 01:30:42,509] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3302398Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3302488Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3302564Z               4 BINARY_ADD
2022-11-23T01:32:38.3302641Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3302715Z               8 RETURN_VALUE
2022-11-23T01:32:38.3302776Z  
2022-11-23T01:32:38.3302781Z 
2022-11-23T01:32:38.3303046Z [2022-11-23 01:30:42,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3303252Z [2022-11-23 01:30:42,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3303486Z [2022-11-23 01:30:42,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3303757Z [2022-11-23 01:30:42,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3303999Z [2022-11-23 01:30:42,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3304235Z [2022-11-23 01:30:42,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3304658Z [2022-11-23 01:30:42,513] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3304909Z [2022-11-23 01:30:42,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3305144Z [2022-11-23 01:30:42,514] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3305397Z [2022-11-23 01:30:42,516] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3305644Z [2022-11-23 01:30:42,524] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3305870Z [2022-11-23 01:30:42,524] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3306003Z  __compiled_fn_475 <eval_with_key>.2929 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3306092Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3306191Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3306369Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3306464Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3306469Z 
2022-11-23T01:32:38.3306749Z [2022-11-23 01:30:42,525] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3306844Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3306935Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3307028Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3307119Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3307184Z               8 RETURN_VALUE
2022-11-23T01:32:38.3307190Z 
2022-11-23T01:32:38.3307250Z  
2022-11-23T01:32:38.3307520Z [2022-11-23 01:30:42,525] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3307632Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_475)
2022-11-23T01:32:38.3307722Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3307813Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3307892Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3307969Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3308059Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3308137Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3308226Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3308331Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3308433Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3308525Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3308589Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3308678Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3308754Z              26 RETURN_VALUE
2022-11-23T01:32:38.3308759Z 
2022-11-23T01:32:38.3308823Z  
2022-11-23T01:32:38.3309006Z [2022-11-23 01:30:42,527] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3309076Z  - 
2022-11-23T01:32:38.3309196Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3309262Z             {
2022-11-23T01:32:38.3309387Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3309573Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3309693Z                 'obj_weakref': None
2022-11-23T01:32:38.3309916Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3309982Z             }
2022-11-23T01:32:38.3310049Z             
2022-11-23T01:32:38.3310119Z  - 
2022-11-23T01:32:38.3310229Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3310293Z             {
2022-11-23T01:32:38.3310437Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3310544Z                 'code': None,
2022-11-23T01:32:38.3310757Z                 'obj_weakref': <weakref at 0x7f7106c7e230; to 'Tensor' at 0x7f71c470cdd0>
2022-11-23T01:32:38.3311008Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3311074Z             }
2022-11-23T01:32:38.3311123Z             
2022-11-23T01:32:38.3311192Z  - 
2022-11-23T01:32:38.3311317Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3311382Z             {
2022-11-23T01:32:38.3311525Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3311635Z                 'code': None,
2022-11-23T01:32:38.3311845Z                 'obj_weakref': <weakref at 0x7f70f10b1c50; to 'Tensor' at 0x7f71066d8470>
2022-11-23T01:32:38.3312110Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3312175Z             }
2022-11-23T01:32:38.3312238Z             
2022-11-23T01:32:38.3312308Z  - 
2022-11-23T01:32:38.3312466Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3312531Z             {
2022-11-23T01:32:38.3312667Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3312823Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3312944Z                 'obj_weakref': None
2022-11-23T01:32:38.3313175Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3313242Z             }
2022-11-23T01:32:38.3313306Z             
2022-11-23T01:32:38.3313375Z  - 
2022-11-23T01:32:38.3313500Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3313550Z             {
2022-11-23T01:32:38.3313688Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3313914Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3314034Z                 'obj_weakref': None
2022-11-23T01:32:38.3314253Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3314315Z             }
2022-11-23T01:32:38.3314378Z             
2022-11-23T01:32:38.3314623Z [2022-11-23 01:30:42,539] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 467
2022-11-23T01:32:38.3314995Z [2022-11-23 01:30:42,561] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nj/cnji3un6dcbelxbevchqiky6px5u7oxniryobuav5cgtbqcehwh2.py
2022-11-23T01:32:38.3315258Z [2022-11-23 01:30:42,561] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 467
2022-11-23T01:32:38.3315263Z 
2022-11-23T01:32:38.3315355Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3315425Z import torch
2022-11-23T01:32:38.3315493Z import random
2022-11-23T01:32:38.3315609Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3315730Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3315735Z 
2022-11-23T01:32:38.3315804Z aten = torch.ops.aten
2022-11-23T01:32:38.3315936Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3316028Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3316033Z 
2022-11-23T01:32:38.3316038Z 
2022-11-23T01:32:38.3316170Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3316375Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3316493Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3316595Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3316693Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3316743Z {
2022-11-23T01:32:38.3316838Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3316899Z     {
2022-11-23T01:32:38.3316974Z         #pragma omp for 
2022-11-23T01:32:38.3317055Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3317217Z         {
2022-11-23T01:32:38.3317300Z             #pragma GCC ivdep
2022-11-23T01:32:38.3317376Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3317439Z             {
2022-11-23T01:32:38.3317504Z                 {
2022-11-23T01:32:38.3317575Z                     {
2022-11-23T01:32:38.3317670Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:38.3317772Z                         auto tmp1 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:38.3317853Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3317949Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:38.3318017Z                     }
2022-11-23T01:32:38.3318081Z                 }
2022-11-23T01:32:38.3318145Z             }
2022-11-23T01:32:38.3318259Z         }
2022-11-23T01:32:38.3318320Z     }
2022-11-23T01:32:38.3318366Z }
2022-11-23T01:32:38.3318446Z ''')
2022-11-23T01:32:38.3318453Z 
2022-11-23T01:32:38.3318457Z 
2022-11-23T01:32:38.3318546Z async_compile.wait(globals())
2022-11-23T01:32:38.3318617Z del async_compile
2022-11-23T01:32:38.3318622Z 
2022-11-23T01:32:38.3318726Z def call(args):
2022-11-23T01:32:38.3318804Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3318877Z     args.clear()
2022-11-23T01:32:38.3319086Z     buf0 = empty_strided((1, 10, 10), (100, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3319237Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3319306Z     del arg0_1
2022-11-23T01:32:38.3319372Z     del arg1_1
2022-11-23T01:32:38.3319444Z     return (buf0, )
2022-11-23T01:32:38.3319448Z 
2022-11-23T01:32:38.3319453Z 
2022-11-23T01:32:38.3319527Z if __name__ == "__main__":
2022-11-23T01:32:38.3319640Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3319763Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3319956Z     arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3320154Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3320269Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3320274Z 
2022-11-23T01:32:38.3320339Z ok (0.068s)
2022-11-23T01:32:38.3320692Z   test_cpu_broadcast3_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:42,570] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3320960Z [2022-11-23 01:30:42,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3321178Z [2022-11-23 01:30:42,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3321431Z [2022-11-23 01:30:42,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3321721Z [2022-11-23 01:30:42,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3322034Z [2022-11-23 01:30:42,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3322364Z [2022-11-23 01:30:42,571] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3322454Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3322544Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3322618Z               4 BINARY_ADD
2022-11-23T01:32:38.3322707Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3322783Z               8 RETURN_VALUE
2022-11-23T01:32:38.3322844Z  
2022-11-23T01:32:38.3322849Z 
2022-11-23T01:32:38.3323105Z [2022-11-23 01:30:42,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3323311Z [2022-11-23 01:30:42,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3323550Z [2022-11-23 01:30:42,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3323821Z [2022-11-23 01:30:42,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3324061Z [2022-11-23 01:30:42,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3324305Z [2022-11-23 01:30:42,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3324638Z [2022-11-23 01:30:42,575] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3324912Z [2022-11-23 01:30:42,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3325145Z [2022-11-23 01:30:42,575] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3325449Z [2022-11-23 01:30:42,577] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3325686Z [2022-11-23 01:30:42,582] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3325873Z [2022-11-23 01:30:42,583] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3326005Z  __compiled_fn_476 <eval_with_key>.2935 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3326096Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3326182Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3326359Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3326453Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3326461Z 
2022-11-23T01:32:38.3326734Z [2022-11-23 01:30:42,584] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3326813Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3326904Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3326995Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3327084Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3327160Z               8 RETURN_VALUE
2022-11-23T01:32:38.3327165Z 
2022-11-23T01:32:38.3327225Z  
2022-11-23T01:32:38.3327496Z [2022-11-23 01:30:42,584] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3327591Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_476)
2022-11-23T01:32:38.3327679Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3327770Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3327848Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3327937Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3328024Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3328099Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3328186Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3328279Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3328379Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3328467Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3328542Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3328629Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3328702Z              26 RETURN_VALUE
2022-11-23T01:32:38.3328707Z 
2022-11-23T01:32:38.3328767Z  
2022-11-23T01:32:38.3328940Z [2022-11-23 01:30:42,586] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3329008Z  - 
2022-11-23T01:32:38.3329124Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3329191Z             {
2022-11-23T01:32:38.3329330Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3329517Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3329634Z                 'obj_weakref': None
2022-11-23T01:32:38.3329848Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3329911Z             }
2022-11-23T01:32:38.3329973Z             
2022-11-23T01:32:38.3330044Z  - 
2022-11-23T01:32:38.3330168Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3330230Z             {
2022-11-23T01:32:38.3330372Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3330464Z                 'code': None,
2022-11-23T01:32:38.3330668Z                 'obj_weakref': <weakref at 0x7f70f1622110; to 'Tensor' at 0x7f7106eaee90>
2022-11-23T01:32:38.3330916Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3331009Z             }
2022-11-23T01:32:38.3331072Z             
2022-11-23T01:32:38.3331139Z  - 
2022-11-23T01:32:38.3331262Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3331312Z             {
2022-11-23T01:32:38.3331491Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3331598Z                 'code': None,
2022-11-23T01:32:38.3331808Z                 'obj_weakref': <weakref at 0x7f70f10b1d10; to 'Tensor' at 0x7f70f293e3b0>
2022-11-23T01:32:38.3332055Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3332118Z             }
2022-11-23T01:32:38.3332179Z             
2022-11-23T01:32:38.3332234Z  - 
2022-11-23T01:32:38.3332362Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3332424Z             {
2022-11-23T01:32:38.3332558Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3332724Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3332843Z                 'obj_weakref': None
2022-11-23T01:32:38.3333069Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3333120Z             }
2022-11-23T01:32:38.3333181Z             
2022-11-23T01:32:38.3333250Z  - 
2022-11-23T01:32:38.3333371Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3333435Z             {
2022-11-23T01:32:38.3333570Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3333789Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3333893Z                 'obj_weakref': None
2022-11-23T01:32:38.3334108Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3334171Z             }
2022-11-23T01:32:38.3334234Z             
2022-11-23T01:32:38.3334493Z [2022-11-23 01:30:42,595] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 468
2022-11-23T01:32:38.3334861Z [2022-11-23 01:30:45,162] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5i/c5ij77c4gkoelqbngojhtzvnnxrp2wqxchcrboj6fxrjl42jxzul.py
2022-11-23T01:32:38.3335126Z [2022-11-23 01:30:45,162] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 468
2022-11-23T01:32:38.3335132Z 
2022-11-23T01:32:38.3335224Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3335280Z import torch
2022-11-23T01:32:38.3335347Z import random
2022-11-23T01:32:38.3335461Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3335582Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3335587Z 
2022-11-23T01:32:38.3335664Z aten = torch.ops.aten
2022-11-23T01:32:38.3335798Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3335889Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3335894Z 
2022-11-23T01:32:38.3335900Z 
2022-11-23T01:32:38.3336031Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3336223Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3336343Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3336451Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3336551Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3336611Z {
2022-11-23T01:32:38.3336707Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3336768Z     {
2022-11-23T01:32:38.3336832Z         #pragma omp for 
2022-11-23T01:32:38.3336914Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3336977Z         {
2022-11-23T01:32:38.3337039Z             {
2022-11-23T01:32:38.3337103Z                 {
2022-11-23T01:32:38.3337192Z                     auto tmp0 = in_ptr0[0];
2022-11-23T01:32:38.3337283Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.3337360Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3337475Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.3337539Z                 }
2022-11-23T01:32:38.3337601Z             }
2022-11-23T01:32:38.3337663Z         }
2022-11-23T01:32:38.3337723Z     }
2022-11-23T01:32:38.3337770Z }
2022-11-23T01:32:38.3337847Z ''')
2022-11-23T01:32:38.3337885Z 
2022-11-23T01:32:38.3337890Z 
2022-11-23T01:32:38.3337979Z async_compile.wait(globals())
2022-11-23T01:32:38.3338050Z del async_compile
2022-11-23T01:32:38.3338055Z 
2022-11-23T01:32:38.3338124Z def call(args):
2022-11-23T01:32:38.3338198Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3338268Z     args.clear()
2022-11-23T01:32:38.3338461Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3338610Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3338676Z     del arg0_1
2022-11-23T01:32:38.3338741Z     del arg1_1
2022-11-23T01:32:38.3338812Z     return (buf0, )
2022-11-23T01:32:38.3338819Z 
2022-11-23T01:32:38.3338823Z 
2022-11-23T01:32:38.3338897Z if __name__ == "__main__":
2022-11-23T01:32:38.3339008Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3339129Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3339312Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3339502Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3339615Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3339620Z 
2022-11-23T01:32:38.3339686Z ok (2.603s)
2022-11-23T01:32:38.3340035Z   test_cpu_broadcast3_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:45,178] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3340301Z [2022-11-23 01:30:45,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3340521Z [2022-11-23 01:30:45,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3340775Z [2022-11-23 01:30:45,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3341062Z [2022-11-23 01:30:45,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3341386Z [2022-11-23 01:30:45,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3341702Z [2022-11-23 01:30:45,179] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3341793Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3341882Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3341955Z               4 BINARY_ADD
2022-11-23T01:32:38.3342044Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3342121Z               8 RETURN_VALUE
2022-11-23T01:32:38.3342185Z  
2022-11-23T01:32:38.3342189Z 
2022-11-23T01:32:38.3342442Z [2022-11-23 01:30:45,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3342649Z [2022-11-23 01:30:45,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3342884Z [2022-11-23 01:30:45,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3343155Z [2022-11-23 01:30:45,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3343396Z [2022-11-23 01:30:45,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3343639Z [2022-11-23 01:30:45,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3343972Z [2022-11-23 01:30:45,184] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3344248Z [2022-11-23 01:30:45,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3344600Z [2022-11-23 01:30:45,185] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3344861Z [2022-11-23 01:30:45,187] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3345096Z [2022-11-23 01:30:45,194] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3345283Z [2022-11-23 01:30:45,195] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3345417Z  __compiled_fn_477 <eval_with_key>.2941 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3345507Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3345593Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3345771Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3345865Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3345871Z 
2022-11-23T01:32:38.3346149Z [2022-11-23 01:30:45,196] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3346229Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3346320Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3346415Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3346507Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3346587Z               8 RETURN_VALUE
2022-11-23T01:32:38.3346593Z 
2022-11-23T01:32:38.3346653Z  
2022-11-23T01:32:38.3346935Z [2022-11-23 01:30:45,196] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3347044Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_477)
2022-11-23T01:32:38.3347123Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3347215Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3347292Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3347380Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3347470Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3347548Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3347637Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3347730Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3347833Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3347923Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3348002Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3348092Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3348168Z              26 RETURN_VALUE
2022-11-23T01:32:38.3348173Z 
2022-11-23T01:32:38.3348235Z  
2022-11-23T01:32:38.3348404Z [2022-11-23 01:30:45,198] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3348474Z  - 
2022-11-23T01:32:38.3348594Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3348659Z             {
2022-11-23T01:32:38.3348800Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3348989Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3349109Z                 'obj_weakref': None
2022-11-23T01:32:38.3349336Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3349402Z             }
2022-11-23T01:32:38.3349469Z             
2022-11-23T01:32:38.3349538Z  - 
2022-11-23T01:32:38.3349663Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3349728Z             {
2022-11-23T01:32:38.3349871Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3349964Z                 'code': None,
2022-11-23T01:32:38.3350169Z                 'obj_weakref': <weakref at 0x7f7106c86470; to 'Tensor' at 0x7f7106eaee90>
2022-11-23T01:32:38.3350450Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3350515Z             }
2022-11-23T01:32:38.3350581Z             
2022-11-23T01:32:38.3350653Z  - 
2022-11-23T01:32:38.3350802Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3350853Z             {
2022-11-23T01:32:38.3350997Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3351105Z                 'code': None,
2022-11-23T01:32:38.3351314Z                 'obj_weakref': <weakref at 0x7f7106d8fe90; to 'Tensor' at 0x7f7106c86e90>
2022-11-23T01:32:38.3351562Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3351627Z             }
2022-11-23T01:32:38.3351692Z             
2022-11-23T01:32:38.3351748Z  - 
2022-11-23T01:32:38.3351878Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3351944Z             {
2022-11-23T01:32:38.3352078Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3352244Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3352362Z                 'obj_weakref': None
2022-11-23T01:32:38.3352591Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3352642Z             }
2022-11-23T01:32:38.3352704Z             
2022-11-23T01:32:38.3352771Z  - 
2022-11-23T01:32:38.3352892Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3352953Z             {
2022-11-23T01:32:38.3353087Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3353300Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3353405Z                 'obj_weakref': None
2022-11-23T01:32:38.3353617Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3353683Z             }
2022-11-23T01:32:38.3353747Z             
2022-11-23T01:32:38.3354007Z [2022-11-23 01:30:45,211] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 469
2022-11-23T01:32:38.3354377Z [2022-11-23 01:30:45,230] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dv/cdvsu5pym2bigd6xtxdw422ei6atbudjadngt5oxrzubbyknrmte.py
2022-11-23T01:32:38.3354641Z [2022-11-23 01:30:45,231] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 469
2022-11-23T01:32:38.3354647Z 
2022-11-23T01:32:38.3354739Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3354796Z import torch
2022-11-23T01:32:38.3354864Z import random
2022-11-23T01:32:38.3354977Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3355096Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3355101Z 
2022-11-23T01:32:38.3355179Z aten = torch.ops.aten
2022-11-23T01:32:38.3355312Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3355405Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3355410Z 
2022-11-23T01:32:38.3355415Z 
2022-11-23T01:32:38.3355548Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3355745Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3355863Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3355966Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3356064Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3356126Z {
2022-11-23T01:32:38.3356224Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3356285Z     {
2022-11-23T01:32:38.3356350Z         #pragma omp for 
2022-11-23T01:32:38.3356439Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3356501Z         {
2022-11-23T01:32:38.3356564Z             {
2022-11-23T01:32:38.3356628Z                 {
2022-11-23T01:32:38.3356747Z                     auto tmp0 = in_ptr0[0];
2022-11-23T01:32:38.3356840Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.3356918Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3357002Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.3357066Z                 }
2022-11-23T01:32:38.3357380Z             }
2022-11-23T01:32:38.3357443Z         }
2022-11-23T01:32:38.3357505Z     }
2022-11-23T01:32:38.3357552Z }
2022-11-23T01:32:38.3357632Z ''')
2022-11-23T01:32:38.3357640Z 
2022-11-23T01:32:38.3357645Z 
2022-11-23T01:32:38.3357734Z async_compile.wait(globals())
2022-11-23T01:32:38.3357806Z del async_compile
2022-11-23T01:32:38.3357811Z 
2022-11-23T01:32:38.3357881Z def call(args):
2022-11-23T01:32:38.3357956Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3358028Z     args.clear()
2022-11-23T01:32:38.3358234Z     buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3358384Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3358455Z     del arg0_1
2022-11-23T01:32:38.3358522Z     del arg1_1
2022-11-23T01:32:38.3358593Z     return (buf0, )
2022-11-23T01:32:38.3358598Z 
2022-11-23T01:32:38.3358602Z 
2022-11-23T01:32:38.3358677Z if __name__ == "__main__":
2022-11-23T01:32:38.3358793Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3358916Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3359106Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3359295Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3359410Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3359415Z 
2022-11-23T01:32:38.3359480Z ok (0.066s)
2022-11-23T01:32:38.3359832Z   test_cpu_broadcast3_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:45,241] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3360105Z [2022-11-23 01:30:45,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3360321Z [2022-11-23 01:30:45,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3360575Z [2022-11-23 01:30:45,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3360861Z [2022-11-23 01:30:45,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3361180Z [2022-11-23 01:30:45,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3361496Z [2022-11-23 01:30:45,242] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3361588Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3361681Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3361755Z               4 BINARY_ADD
2022-11-23T01:32:38.3361845Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3361921Z               8 RETURN_VALUE
2022-11-23T01:32:38.3361982Z  
2022-11-23T01:32:38.3361989Z 
2022-11-23T01:32:38.3362251Z [2022-11-23 01:30:45,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3362447Z [2022-11-23 01:30:45,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3362682Z [2022-11-23 01:30:45,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3362954Z [2022-11-23 01:30:45,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3363194Z [2022-11-23 01:30:45,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3363471Z [2022-11-23 01:30:45,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3363836Z [2022-11-23 01:30:45,246] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3364080Z [2022-11-23 01:30:45,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3364314Z [2022-11-23 01:30:45,247] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3364568Z [2022-11-23 01:30:45,249] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3364803Z [2022-11-23 01:30:45,255] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3364992Z [2022-11-23 01:30:45,256] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3365127Z  __compiled_fn_478 <eval_with_key>.2947 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3365214Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3365301Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3365477Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3365574Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3365580Z 
2022-11-23T01:32:38.3365854Z [2022-11-23 01:30:45,257] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3365934Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3366023Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3366115Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3366205Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3366282Z               8 RETURN_VALUE
2022-11-23T01:32:38.3366287Z 
2022-11-23T01:32:38.3366348Z  
2022-11-23T01:32:38.3366616Z [2022-11-23 01:30:45,257] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3366726Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_478)
2022-11-23T01:32:38.3366802Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3366892Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3366971Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3367059Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3367145Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3367218Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3367305Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3367400Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3367500Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3367591Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3367667Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3367756Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3367831Z              26 RETURN_VALUE
2022-11-23T01:32:38.3367837Z 
2022-11-23T01:32:38.3367896Z  
2022-11-23T01:32:38.3368065Z [2022-11-23 01:30:45,259] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3368132Z  - 
2022-11-23T01:32:38.3368252Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3368317Z             {
2022-11-23T01:32:38.3368455Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3368640Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3368759Z                 'obj_weakref': None
2022-11-23T01:32:38.3368970Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3369032Z             }
2022-11-23T01:32:38.3369093Z             
2022-11-23T01:32:38.3369161Z  - 
2022-11-23T01:32:38.3369284Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3369345Z             {
2022-11-23T01:32:38.3369515Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3369608Z                 'code': None,
2022-11-23T01:32:38.3369816Z                 'obj_weakref': <weakref at 0x7f7106d8fad0; to 'Tensor' at 0x7f70f2e18350>
2022-11-23T01:32:38.3370089Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3370154Z             }
2022-11-23T01:32:38.3370217Z             
2022-11-23T01:32:38.3370285Z  - 
2022-11-23T01:32:38.3370408Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3370457Z             {
2022-11-23T01:32:38.3370597Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3370702Z                 'code': None,
2022-11-23T01:32:38.3370909Z                 'obj_weakref': <weakref at 0x7f7112cbe7d0; to 'Tensor' at 0x7f71c4695530>
2022-11-23T01:32:38.3371154Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3371220Z             }
2022-11-23T01:32:38.3371281Z             
2022-11-23T01:32:38.3371336Z  - 
2022-11-23T01:32:38.3371464Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3371526Z             {
2022-11-23T01:32:38.3371659Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3371830Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3371947Z                 'obj_weakref': None
2022-11-23T01:32:38.3372175Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3372226Z             }
2022-11-23T01:32:38.3372288Z             
2022-11-23T01:32:38.3372355Z  - 
2022-11-23T01:32:38.3372477Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3372542Z             {
2022-11-23T01:32:38.3372676Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3372890Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3372997Z                 'obj_weakref': None
2022-11-23T01:32:38.3373214Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3373277Z             }
2022-11-23T01:32:38.3373339Z             
2022-11-23T01:32:38.3373598Z [2022-11-23 01:30:45,271] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 470
2022-11-23T01:32:38.3373964Z [2022-11-23 01:30:47,856] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lm/clmh734xjfadt5e3yul2rpclhlxk37gld7qoap3yz5biqttom4eu.py
2022-11-23T01:32:38.3374227Z [2022-11-23 01:30:47,857] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 470
2022-11-23T01:32:38.3374232Z 
2022-11-23T01:32:38.3374327Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3374382Z import torch
2022-11-23T01:32:38.3374450Z import random
2022-11-23T01:32:38.3374564Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3374689Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3374694Z 
2022-11-23T01:32:38.3374770Z aten = torch.ops.aten
2022-11-23T01:32:38.3374903Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3374994Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3375001Z 
2022-11-23T01:32:38.3375005Z 
2022-11-23T01:32:38.3375136Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3375328Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3375448Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3375553Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3375652Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3375712Z {
2022-11-23T01:32:38.3375774Z     {
2022-11-23T01:32:38.3375837Z         {
2022-11-23T01:32:38.3375908Z             auto tmp0 = in_ptr0[0];
2022-11-23T01:32:38.3375988Z             auto tmp1 = in_ptr1[0];
2022-11-23T01:32:38.3376101Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3376179Z             out_ptr0[0] = tmp2;
2022-11-23T01:32:38.3376241Z         }
2022-11-23T01:32:38.3376303Z     }
2022-11-23T01:32:38.3376362Z }
2022-11-23T01:32:38.3376426Z ''')
2022-11-23T01:32:38.3376431Z 
2022-11-23T01:32:38.3376476Z 
2022-11-23T01:32:38.3376567Z async_compile.wait(globals())
2022-11-23T01:32:38.3376640Z del async_compile
2022-11-23T01:32:38.3376645Z 
2022-11-23T01:32:38.3376715Z def call(args):
2022-11-23T01:32:38.3376789Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3376860Z     args.clear()
2022-11-23T01:32:38.3377051Z     buf0 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3377201Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3377267Z     del arg0_1
2022-11-23T01:32:38.3377333Z     del arg1_1
2022-11-23T01:32:38.3377403Z     return (buf0, )
2022-11-23T01:32:38.3377411Z 
2022-11-23T01:32:38.3377415Z 
2022-11-23T01:32:38.3377491Z if __name__ == "__main__":
2022-11-23T01:32:38.3377603Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3377725Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3377919Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3378094Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3378209Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3378214Z 
2022-11-23T01:32:38.3378280Z ok (2.628s)
2022-11-23T01:32:38.3378622Z   test_cpu_broadcast3_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:47,872] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3378889Z [2022-11-23 01:30:47,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3379103Z [2022-11-23 01:30:47,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3379356Z [2022-11-23 01:30:47,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3379646Z [2022-11-23 01:30:47,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3379968Z [2022-11-23 01:30:47,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3380299Z [2022-11-23 01:30:47,874] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3380379Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3380466Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3380539Z               4 BINARY_ADD
2022-11-23T01:32:38.3380627Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3380704Z               8 RETURN_VALUE
2022-11-23T01:32:38.3380764Z  
2022-11-23T01:32:38.3380769Z 
2022-11-23T01:32:38.3381033Z [2022-11-23 01:30:47,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3381229Z [2022-11-23 01:30:47,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3381465Z [2022-11-23 01:30:47,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3381735Z [2022-11-23 01:30:47,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3381973Z [2022-11-23 01:30:47,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3382219Z [2022-11-23 01:30:47,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3382555Z [2022-11-23 01:30:47,878] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3382827Z [2022-11-23 01:30:47,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3383087Z [2022-11-23 01:30:47,879] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3383340Z [2022-11-23 01:30:47,881] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3383588Z [2022-11-23 01:30:47,887] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3383760Z [2022-11-23 01:30:47,887] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3383893Z  __compiled_fn_479 <eval_with_key>.2953 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3383980Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3384066Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3384242Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3384338Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3384343Z 
2022-11-23T01:32:38.3384707Z [2022-11-23 01:30:47,888] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3384803Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3384880Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3384974Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3385066Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3385143Z               8 RETURN_VALUE
2022-11-23T01:32:38.3385148Z 
2022-11-23T01:32:38.3385209Z  
2022-11-23T01:32:38.3385489Z [2022-11-23 01:30:47,888] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3385598Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_479)
2022-11-23T01:32:38.3385674Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3385768Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3385846Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3385934Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3386024Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3386102Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3386192Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3386283Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3386385Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3386475Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3386551Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3386639Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3386715Z              26 RETURN_VALUE
2022-11-23T01:32:38.3386720Z 
2022-11-23T01:32:38.3386783Z  
2022-11-23T01:32:38.3386964Z [2022-11-23 01:30:47,889] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3387024Z  - 
2022-11-23T01:32:38.3387144Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3387210Z             {
2022-11-23T01:32:38.3387352Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3387542Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3387665Z                 'obj_weakref': None
2022-11-23T01:32:38.3387891Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3387943Z             }
2022-11-23T01:32:38.3388011Z             
2022-11-23T01:32:38.3388083Z  - 
2022-11-23T01:32:38.3388207Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3388273Z             {
2022-11-23T01:32:38.3388417Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3388510Z                 'code': None,
2022-11-23T01:32:38.3388719Z                 'obj_weakref': <weakref at 0x7f71066f8ad0; to 'Tensor' at 0x7f714126bfb0>
2022-11-23T01:32:38.3389006Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3389071Z             }
2022-11-23T01:32:38.3389136Z             
2022-11-23T01:32:38.3389206Z  - 
2022-11-23T01:32:38.3389358Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3389410Z             {
2022-11-23T01:32:38.3389554Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3389659Z                 'code': None,
2022-11-23T01:32:38.3389869Z                 'obj_weakref': <weakref at 0x7f70f10c6fb0; to 'Tensor' at 0x7f71066eb0b0>
2022-11-23T01:32:38.3390114Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3390180Z             }
2022-11-23T01:32:38.3390244Z             
2022-11-23T01:32:38.3390316Z  - 
2022-11-23T01:32:38.3390433Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3390497Z             {
2022-11-23T01:32:38.3390634Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3390801Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3390921Z                 'obj_weakref': None
2022-11-23T01:32:38.3391148Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3391215Z             }
2022-11-23T01:32:38.3391265Z             
2022-11-23T01:32:38.3391334Z  - 
2022-11-23T01:32:38.3391454Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3391519Z             {
2022-11-23T01:32:38.3391653Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3391865Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3391981Z                 'obj_weakref': None
2022-11-23T01:32:38.3392186Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3392248Z             }
2022-11-23T01:32:38.3392312Z             
2022-11-23T01:32:38.3392570Z [2022-11-23 01:30:47,898] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 471
2022-11-23T01:32:38.3392939Z [2022-11-23 01:30:50,466] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vr/cvrcpyzma3jyz3vnf7wz7guv25q3ywpgmz5ryuw7g5bya6n63yhm.py
2022-11-23T01:32:38.3393205Z [2022-11-23 01:30:50,466] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 471
2022-11-23T01:32:38.3393210Z 
2022-11-23T01:32:38.3393302Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3393370Z import torch
2022-11-23T01:32:38.3393426Z import random
2022-11-23T01:32:38.3393539Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3393659Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3393664Z 
2022-11-23T01:32:38.3393741Z aten = torch.ops.aten
2022-11-23T01:32:38.3393875Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3393968Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3393973Z 
2022-11-23T01:32:38.3393977Z 
2022-11-23T01:32:38.3394109Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3394313Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3394422Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3394526Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3394625Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3394688Z {
2022-11-23T01:32:38.3394785Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3394845Z     {
2022-11-23T01:32:38.3394921Z         #pragma omp for 
2022-11-23T01:32:38.3394990Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:38.3395050Z         {
2022-11-23T01:32:38.3395191Z             auto tmp0 = at::vec::Vectorized<float>(in_ptr0[0]);
2022-11-23T01:32:38.3395323Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.3395438Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3395529Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.3395592Z         }
2022-11-23T01:32:38.3395673Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.3395781Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T01:32:38.3395844Z         {
2022-11-23T01:32:38.3395926Z             auto tmp0 = in_ptr0[0];
2022-11-23T01:32:38.3396009Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.3396089Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3396169Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.3396218Z         }
2022-11-23T01:32:38.3396277Z     }
2022-11-23T01:32:38.3396336Z }
2022-11-23T01:32:38.3396413Z ''')
2022-11-23T01:32:38.3396418Z 
2022-11-23T01:32:38.3396422Z 
2022-11-23T01:32:38.3396510Z async_compile.wait(globals())
2022-11-23T01:32:38.3396580Z del async_compile
2022-11-23T01:32:38.3396585Z 
2022-11-23T01:32:38.3396654Z def call(args):
2022-11-23T01:32:38.3396719Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3396788Z     args.clear()
2022-11-23T01:32:38.3396984Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3397252Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3397321Z     del arg0_1
2022-11-23T01:32:38.3397387Z     del arg1_1
2022-11-23T01:32:38.3397458Z     return (buf0, )
2022-11-23T01:32:38.3397463Z 
2022-11-23T01:32:38.3397467Z 
2022-11-23T01:32:38.3397529Z if __name__ == "__main__":
2022-11-23T01:32:38.3397643Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3397764Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3397956Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3398154Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3398268Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3398276Z 
2022-11-23T01:32:38.3398349Z ok (2.609s)
2022-11-23T01:32:38.3398696Z   test_cpu_broadcast3_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:50,481] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3398968Z [2022-11-23 01:30:50,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3399172Z [2022-11-23 01:30:50,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3399427Z [2022-11-23 01:30:50,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3399711Z [2022-11-23 01:30:50,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3400036Z [2022-11-23 01:30:50,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3400370Z [2022-11-23 01:30:50,482] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3400466Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3400558Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3400631Z               4 BINARY_ADD
2022-11-23T01:32:38.3400708Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3400782Z               8 RETURN_VALUE
2022-11-23T01:32:38.3400843Z  
2022-11-23T01:32:38.3400848Z 
2022-11-23T01:32:38.3401113Z [2022-11-23 01:30:50,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3401323Z [2022-11-23 01:30:50,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3401558Z [2022-11-23 01:30:50,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3401879Z [2022-11-23 01:30:50,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3402118Z [2022-11-23 01:30:50,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3402395Z [2022-11-23 01:30:50,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3402716Z [2022-11-23 01:30:50,487] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3402959Z [2022-11-23 01:30:50,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3403193Z [2022-11-23 01:30:50,488] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3403445Z [2022-11-23 01:30:50,490] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3403694Z [2022-11-23 01:30:50,496] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3403882Z [2022-11-23 01:30:50,497] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3404018Z  __compiled_fn_480 <eval_with_key>.2959 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3404108Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3404196Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3404361Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3404454Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3404459Z 
2022-11-23T01:32:38.3404737Z [2022-11-23 01:30:50,497] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3404831Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3404921Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3405013Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3405105Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3405169Z               8 RETURN_VALUE
2022-11-23T01:32:38.3405186Z 
2022-11-23T01:32:38.3405234Z  
2022-11-23T01:32:38.3405508Z [2022-11-23 01:30:50,498] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3405617Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_480)
2022-11-23T01:32:38.3405705Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3405795Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3405871Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3405957Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3406032Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3406107Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3406260Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3406364Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3406470Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3406557Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3406632Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3406708Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3406781Z              26 RETURN_VALUE
2022-11-23T01:32:38.3406787Z 
2022-11-23T01:32:38.3406846Z  
2022-11-23T01:32:38.3407026Z [2022-11-23 01:30:50,500] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3407095Z  - 
2022-11-23T01:32:38.3407211Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3407276Z             {
2022-11-23T01:32:38.3407403Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3407589Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3407708Z                 'obj_weakref': None
2022-11-23T01:32:38.3407928Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3408025Z             }
2022-11-23T01:32:38.3408088Z             
2022-11-23T01:32:38.3408156Z  - 
2022-11-23T01:32:38.3408267Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3408328Z             {
2022-11-23T01:32:38.3408495Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3408603Z                 'code': None,
2022-11-23T01:32:38.3408814Z                 'obj_weakref': <weakref at 0x7f712a50d9b0; to 'Tensor' at 0x7f70f161d5f0>
2022-11-23T01:32:38.3409061Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3409123Z             }
2022-11-23T01:32:38.3409174Z             
2022-11-23T01:32:38.3409241Z  - 
2022-11-23T01:32:38.3409362Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3409425Z             {
2022-11-23T01:32:38.3409566Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3409670Z                 'code': None,
2022-11-23T01:32:38.3409879Z                 'obj_weakref': <weakref at 0x7f7106d8fcb0; to 'Tensor' at 0x7f71060d9230>
2022-11-23T01:32:38.3410114Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3410177Z             }
2022-11-23T01:32:38.3410242Z             
2022-11-23T01:32:38.3410311Z  - 
2022-11-23T01:32:38.3410441Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3410504Z             {
2022-11-23T01:32:38.3410637Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3410793Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3410910Z                 'obj_weakref': None
2022-11-23T01:32:38.3411138Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3411202Z             }
2022-11-23T01:32:38.3411265Z             
2022-11-23T01:32:38.3411334Z  - 
2022-11-23T01:32:38.3411456Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3411506Z             {
2022-11-23T01:32:38.3411639Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3411850Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3411968Z                 'obj_weakref': None
2022-11-23T01:32:38.3412185Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3412248Z             }
2022-11-23T01:32:38.3412309Z             
2022-11-23T01:32:38.3412556Z [2022-11-23 01:30:50,514] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 472
2022-11-23T01:32:38.3412927Z [2022-11-23 01:30:53,164] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/me/cmemgotwvflszwdsna4wxw5ikov6uvtxebmsmbvbrfhq6j73aw4w.py
2022-11-23T01:32:38.3413187Z [2022-11-23 01:30:53,165] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 472
2022-11-23T01:32:38.3413195Z 
2022-11-23T01:32:38.3413287Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3413370Z import torch
2022-11-23T01:32:38.3413439Z import random
2022-11-23T01:32:38.3413554Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3413680Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3413685Z 
2022-11-23T01:32:38.3413761Z aten = torch.ops.aten
2022-11-23T01:32:38.3413882Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3413974Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3413978Z 
2022-11-23T01:32:38.3413983Z 
2022-11-23T01:32:38.3414115Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3414321Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3414440Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3414547Z                        const double* __restrict__ in_ptr1,
2022-11-23T01:32:38.3414674Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:38.3414768Z {
2022-11-23T01:32:38.3414864Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3414924Z     {
2022-11-23T01:32:38.3415004Z         #pragma omp for 
2022-11-23T01:32:38.3415086Z         for(long i0=0; i0<100; i0+=1)
2022-11-23T01:32:38.3415175Z         {
2022-11-23T01:32:38.3415239Z             {
2022-11-23T01:32:38.3415291Z                 {
2022-11-23T01:32:38.3415382Z                     auto tmp0 = in_ptr0[0];
2022-11-23T01:32:38.3415472Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:38.3415580Z                     auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:32:38.3415670Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:38.3415753Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:38.3415817Z                 }
2022-11-23T01:32:38.3415867Z             }
2022-11-23T01:32:38.3415927Z         }
2022-11-23T01:32:38.3415987Z     }
2022-11-23T01:32:38.3416049Z }
2022-11-23T01:32:38.3416126Z ''')
2022-11-23T01:32:38.3416131Z 
2022-11-23T01:32:38.3416135Z 
2022-11-23T01:32:38.3416223Z async_compile.wait(globals())
2022-11-23T01:32:38.3416294Z del async_compile
2022-11-23T01:32:38.3416299Z 
2022-11-23T01:32:38.3416355Z def call(args):
2022-11-23T01:32:38.3416436Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3416504Z     args.clear()
2022-11-23T01:32:38.3416705Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3416867Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3416934Z     del arg0_1
2022-11-23T01:32:38.3416999Z     del arg1_1
2022-11-23T01:32:38.3417057Z     return (buf0, )
2022-11-23T01:32:38.3417074Z 
2022-11-23T01:32:38.3417078Z 
2022-11-23T01:32:38.3417141Z if __name__ == "__main__":
2022-11-23T01:32:38.3417253Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3417375Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3417567Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3417765Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3417879Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3417886Z 
2022-11-23T01:32:38.3417952Z ok (2.698s)
2022-11-23T01:32:38.3418292Z   test_cpu_broadcast3_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:53,179] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3418548Z [2022-11-23 01:30:53,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3418765Z [2022-11-23 01:30:53,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3419015Z [2022-11-23 01:30:53,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3419299Z [2022-11-23 01:30:53,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3419622Z [2022-11-23 01:30:53,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3419954Z [2022-11-23 01:30:53,180] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3420045Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3420136Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3420208Z               4 BINARY_ADD
2022-11-23T01:32:38.3420284Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3420358Z               8 RETURN_VALUE
2022-11-23T01:32:38.3420418Z  
2022-11-23T01:32:38.3420423Z 
2022-11-23T01:32:38.3420687Z [2022-11-23 01:30:53,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3420927Z [2022-11-23 01:30:53,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3421162Z [2022-11-23 01:30:53,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3421475Z [2022-11-23 01:30:53,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3421716Z [2022-11-23 01:30:53,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3421949Z [2022-11-23 01:30:53,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3422281Z [2022-11-23 01:30:53,185] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3422524Z [2022-11-23 01:30:53,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3422761Z [2022-11-23 01:30:53,185] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3423016Z [2022-11-23 01:30:53,187] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3423271Z [2022-11-23 01:30:53,194] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3423458Z [2022-11-23 01:30:53,194] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3423595Z  __compiled_fn_481 <eval_with_key>.2965 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3423686Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3423761Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3423940Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3424036Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3424042Z 
2022-11-23T01:32:38.3424319Z [2022-11-23 01:30:53,195] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3424417Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3424587Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3424681Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3424775Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3424838Z               8 RETURN_VALUE
2022-11-23T01:32:38.3424843Z 
2022-11-23T01:32:38.3424905Z  
2022-11-23T01:32:38.3425182Z [2022-11-23 01:30:53,195] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3425291Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_481)
2022-11-23T01:32:38.3425381Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3425470Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3425549Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3425624Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3425716Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3425794Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3425883Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3425991Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3426096Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3426187Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3426251Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3426340Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3426416Z              26 RETURN_VALUE
2022-11-23T01:32:38.3426421Z 
2022-11-23T01:32:38.3426483Z  
2022-11-23T01:32:38.3426666Z [2022-11-23 01:30:53,197] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3426737Z  - 
2022-11-23T01:32:38.3426858Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3426909Z             {
2022-11-23T01:32:38.3427050Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3427271Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3427392Z                 'obj_weakref': None
2022-11-23T01:32:38.3427618Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3427721Z             }
2022-11-23T01:32:38.3427786Z             
2022-11-23T01:32:38.3427843Z  - 
2022-11-23T01:32:38.3427968Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3428032Z             {
2022-11-23T01:32:38.3428175Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3428285Z                 'code': None,
2022-11-23T01:32:38.3428493Z                 'obj_weakref': <weakref at 0x7f7107133830; to 'Tensor' at 0x7f71066eb6b0>
2022-11-23T01:32:38.3428742Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3428808Z             }
2022-11-23T01:32:38.3428859Z             
2022-11-23T01:32:38.3428931Z  - 
2022-11-23T01:32:38.3429055Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3429119Z             {
2022-11-23T01:32:38.3429265Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3429371Z                 'code': None,
2022-11-23T01:32:38.3429566Z                 'obj_weakref': <weakref at 0x7f7107126d70; to 'Tensor' at 0x7f70f10963b0>
2022-11-23T01:32:38.3429813Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3429878Z             }
2022-11-23T01:32:38.3429940Z             
2022-11-23T01:32:38.3430008Z  - 
2022-11-23T01:32:38.3430138Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3430199Z             {
2022-11-23T01:32:38.3430319Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3430486Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3430604Z                 'obj_weakref': None
2022-11-23T01:32:38.3430833Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3430896Z             }
2022-11-23T01:32:38.3430961Z             
2022-11-23T01:32:38.3431028Z  - 
2022-11-23T01:32:38.3431135Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3431200Z             {
2022-11-23T01:32:38.3431334Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3431549Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3431667Z                 'obj_weakref': None
2022-11-23T01:32:38.3431881Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3431944Z             }
2022-11-23T01:32:38.3431993Z             
2022-11-23T01:32:38.3432252Z [2022-11-23 01:30:53,209] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 473
2022-11-23T01:32:38.3432617Z [2022-11-23 01:30:55,793] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/h6/ch6lfe5lq26pxafwvo5huoatc2zj4hdayshpmaenceh4rxbgmeip.py
2022-11-23T01:32:38.3432884Z [2022-11-23 01:30:55,793] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 473
2022-11-23T01:32:38.3432890Z 
2022-11-23T01:32:38.3432984Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3433053Z import torch
2022-11-23T01:32:38.3433122Z import random
2022-11-23T01:32:38.3433236Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3433344Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3433361Z 
2022-11-23T01:32:38.3433427Z aten = torch.ops.aten
2022-11-23T01:32:38.3433558Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3433652Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3433656Z 
2022-11-23T01:32:38.3433661Z 
2022-11-23T01:32:38.3433793Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3433998Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3434144Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3434245Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:32:38.3434345Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3434418Z {
2022-11-23T01:32:38.3434517Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3434578Z     {
2022-11-23T01:32:38.3434653Z         #pragma omp for 
2022-11-23T01:32:38.3434734Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3434797Z         {
2022-11-23T01:32:38.3434849Z             {
2022-11-23T01:32:38.3434912Z                 {
2022-11-23T01:32:38.3435002Z                     auto tmp0 = in_ptr0[0];
2022-11-23T01:32:38.3435092Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.3435198Z                     auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:32:38.3435287Z                     auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:38.3435373Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:38.3435425Z                 }
2022-11-23T01:32:38.3435487Z             }
2022-11-23T01:32:38.3435548Z         }
2022-11-23T01:32:38.3435609Z     }
2022-11-23T01:32:38.3435668Z }
2022-11-23T01:32:38.3435745Z ''')
2022-11-23T01:32:38.3435750Z 
2022-11-23T01:32:38.3435757Z 
2022-11-23T01:32:38.3435845Z async_compile.wait(globals())
2022-11-23T01:32:38.3435904Z del async_compile
2022-11-23T01:32:38.3435921Z 
2022-11-23T01:32:38.3435977Z def call(args):
2022-11-23T01:32:38.3436051Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3436122Z     args.clear()
2022-11-23T01:32:38.3436317Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3436477Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3436545Z     del arg0_1
2022-11-23T01:32:38.3436597Z     del arg1_1
2022-11-23T01:32:38.3436667Z     return (buf0, )
2022-11-23T01:32:38.3436674Z 
2022-11-23T01:32:38.3436678Z 
2022-11-23T01:32:38.3436753Z if __name__ == "__main__":
2022-11-23T01:32:38.3436867Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3436988Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3437300Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3437492Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:38.3437605Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3437610Z 
2022-11-23T01:32:38.3437677Z ok (2.628s)
2022-11-23T01:32:38.3438012Z   test_cpu_broadcast3_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:55,809] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3438282Z [2022-11-23 01:30:55,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3438500Z [2022-11-23 01:30:55,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3438757Z [2022-11-23 01:30:55,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3439046Z [2022-11-23 01:30:55,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3439372Z [2022-11-23 01:30:55,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3439703Z [2022-11-23 01:30:55,810] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3439796Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3439887Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3439947Z               4 BINARY_ADD
2022-11-23T01:32:38.3440036Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3440161Z               8 RETURN_VALUE
2022-11-23T01:32:38.3440222Z  
2022-11-23T01:32:38.3440229Z 
2022-11-23T01:32:38.3440494Z [2022-11-23 01:30:55,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3440734Z [2022-11-23 01:30:55,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3440974Z [2022-11-23 01:30:55,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3441247Z [2022-11-23 01:30:55,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3441474Z [2022-11-23 01:30:55,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3441718Z [2022-11-23 01:30:55,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3442049Z [2022-11-23 01:30:55,814] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3442294Z [2022-11-23 01:30:55,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3442527Z [2022-11-23 01:30:55,815] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3442777Z [2022-11-23 01:30:55,817] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3443024Z [2022-11-23 01:30:55,825] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3443212Z [2022-11-23 01:30:55,825] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3443346Z  __compiled_fn_482 <eval_with_key>.2971 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3443421Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3443507Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3443686Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3443781Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3443786Z 
2022-11-23T01:32:38.3444061Z [2022-11-23 01:30:55,826] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3444156Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3444250Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3444342Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3444420Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3444495Z               8 RETURN_VALUE
2022-11-23T01:32:38.3444500Z 
2022-11-23T01:32:38.3444560Z  
2022-11-23T01:32:38.3444831Z [2022-11-23 01:30:55,826] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3444938Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_482)
2022-11-23T01:32:38.3445029Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3445116Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3445179Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3445266Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3445355Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3445429Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3445516Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3445619Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3445721Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3445797Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3445871Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3445958Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3446031Z              26 RETURN_VALUE
2022-11-23T01:32:38.3446036Z 
2022-11-23T01:32:38.3446095Z  
2022-11-23T01:32:38.3446276Z [2022-11-23 01:30:55,828] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3446375Z  - 
2022-11-23T01:32:38.3446493Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3446544Z             {
2022-11-23T01:32:38.3446682Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3446905Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3447025Z                 'obj_weakref': None
2022-11-23T01:32:38.3447248Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3447313Z             }
2022-11-23T01:32:38.3447375Z             
2022-11-23T01:32:38.3447430Z  - 
2022-11-23T01:32:38.3447552Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3447613Z             {
2022-11-23T01:32:38.3447755Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3447860Z                 'code': None,
2022-11-23T01:32:38.3448068Z                 'obj_weakref': <weakref at 0x7f70f1096110; to 'Tensor' at 0x7f71066eb6b0>
2022-11-23T01:32:38.3448319Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3448370Z             }
2022-11-23T01:32:38.3448432Z             
2022-11-23T01:32:38.3448500Z  - 
2022-11-23T01:32:38.3448624Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3448685Z             {
2022-11-23T01:32:38.3448828Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3448922Z                 'code': None,
2022-11-23T01:32:38.3449130Z                 'obj_weakref': <weakref at 0x7f70f10bc050; to 'Tensor' at 0x7f7106de8950>
2022-11-23T01:32:38.3449379Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3449443Z             }
2022-11-23T01:32:38.3449507Z             
2022-11-23T01:32:38.3449574Z  - 
2022-11-23T01:32:38.3449704Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3449766Z             {
2022-11-23T01:32:38.3449888Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3450056Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3450173Z                 'obj_weakref': None
2022-11-23T01:32:38.3450400Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3450463Z             }
2022-11-23T01:32:38.3450527Z             
2022-11-23T01:32:38.3450594Z  - 
2022-11-23T01:32:38.3450701Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3450763Z             {
2022-11-23T01:32:38.3450896Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3451111Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3451226Z                 'obj_weakref': None
2022-11-23T01:32:38.3451443Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3451510Z             }
2022-11-23T01:32:38.3451560Z             
2022-11-23T01:32:38.3451818Z [2022-11-23 01:30:55,840] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 474
2022-11-23T01:32:38.3452184Z [2022-11-23 01:30:58,438] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/35/c35l42hexjecejcllxxtgaqdxlcwn2veeuxi3qhmqiretsjhvx7w.py
2022-11-23T01:32:38.3452446Z [2022-11-23 01:30:58,438] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 474
2022-11-23T01:32:38.3452452Z 
2022-11-23T01:32:38.3452545Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3452614Z import torch
2022-11-23T01:32:38.3452686Z import random
2022-11-23T01:32:38.3452801Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3452909Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3452914Z 
2022-11-23T01:32:38.3452991Z aten = torch.ops.aten
2022-11-23T01:32:38.3453123Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3453245Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3453250Z 
2022-11-23T01:32:38.3453255Z 
2022-11-23T01:32:38.3453389Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3453592Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3453736Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3453841Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3453927Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3453988Z {
2022-11-23T01:32:38.3454084Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3454146Z     {
2022-11-23T01:32:38.3454222Z         #pragma omp for 
2022-11-23T01:32:38.3454305Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3454369Z         {
2022-11-23T01:32:38.3454435Z             #pragma GCC ivdep
2022-11-23T01:32:38.3454520Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3454585Z             {
2022-11-23T01:32:38.3454649Z                 {
2022-11-23T01:32:38.3454715Z                     {
2022-11-23T01:32:38.3454807Z                         auto tmp0 = in_ptr0[0];
2022-11-23T01:32:38.3454899Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T01:32:38.3454993Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3455089Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:38.3455155Z                     }
2022-11-23T01:32:38.3455220Z                 }
2022-11-23T01:32:38.3455281Z             }
2022-11-23T01:32:38.3455342Z         }
2022-11-23T01:32:38.3455390Z     }
2022-11-23T01:32:38.3455448Z }
2022-11-23T01:32:38.3455525Z ''')
2022-11-23T01:32:38.3455530Z 
2022-11-23T01:32:38.3455534Z 
2022-11-23T01:32:38.3455622Z async_compile.wait(globals())
2022-11-23T01:32:38.3455693Z del async_compile
2022-11-23T01:32:38.3455698Z 
2022-11-23T01:32:38.3455768Z def call(args):
2022-11-23T01:32:38.3455843Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3455904Z     args.clear()
2022-11-23T01:32:38.3456100Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3456262Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3456330Z     del arg0_1
2022-11-23T01:32:38.3456397Z     del arg1_1
2022-11-23T01:32:38.3456467Z     return (buf0, )
2022-11-23T01:32:38.3456472Z 
2022-11-23T01:32:38.3456476Z 
2022-11-23T01:32:38.3456551Z if __name__ == "__main__":
2022-11-23T01:32:38.3456664Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3456772Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3456962Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3457160Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3457274Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3457282Z 
2022-11-23T01:32:38.3457349Z ok (2.645s)
2022-11-23T01:32:38.3457703Z   test_cpu_broadcast3_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:58,451] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3457973Z [2022-11-23 01:30:58,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3458193Z [2022-11-23 01:30:58,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3458445Z [2022-11-23 01:30:58,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3458718Z [2022-11-23 01:30:58,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3459039Z [2022-11-23 01:30:58,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3459432Z [2022-11-23 01:30:58,452] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3459524Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3459614Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3459715Z               4 BINARY_ADD
2022-11-23T01:32:38.3459807Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3459883Z               8 RETURN_VALUE
2022-11-23T01:32:38.3459931Z  
2022-11-23T01:32:38.3459936Z 
2022-11-23T01:32:38.3460203Z [2022-11-23 01:30:58,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3460411Z [2022-11-23 01:30:58,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3460650Z [2022-11-23 01:30:58,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3460927Z [2022-11-23 01:30:58,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3461170Z [2022-11-23 01:30:58,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3461419Z [2022-11-23 01:30:58,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3461756Z [2022-11-23 01:30:58,455] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3462000Z [2022-11-23 01:30:58,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3462220Z [2022-11-23 01:30:58,455] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3462473Z [2022-11-23 01:30:58,457] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3462723Z [2022-11-23 01:30:58,463] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3462913Z [2022-11-23 01:30:58,464] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3463048Z  __compiled_fn_483 <eval_with_key>.2977 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3463142Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3463231Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3463408Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3463491Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3463511Z 
2022-11-23T01:32:38.3463771Z [2022-11-23 01:30:58,464] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3463866Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3463957Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3464100Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3464194Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3464273Z               8 RETURN_VALUE
2022-11-23T01:32:38.3464278Z 
2022-11-23T01:32:38.3464344Z  
2022-11-23T01:32:38.3464687Z [2022-11-23 01:30:58,464] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3464796Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_483)
2022-11-23T01:32:38.3464888Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3464979Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3465057Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3465147Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3465234Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3465296Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3465387Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3465492Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3465629Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3465722Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3465800Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3465891Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3466007Z              26 RETURN_VALUE
2022-11-23T01:32:38.3466012Z 
2022-11-23T01:32:38.3466059Z  
2022-11-23T01:32:38.3466247Z [2022-11-23 01:30:58,466] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3466318Z  - 
2022-11-23T01:32:38.3466439Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3466504Z             {
2022-11-23T01:32:38.3466647Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3466837Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3466942Z                 'obj_weakref': None
2022-11-23T01:32:38.3467167Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3467236Z             }
2022-11-23T01:32:38.3467300Z             
2022-11-23T01:32:38.3467370Z  - 
2022-11-23T01:32:38.3467495Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3467559Z             {
2022-11-23T01:32:38.3467688Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3467798Z                 'code': None,
2022-11-23T01:32:38.3468007Z                 'obj_weakref': <weakref at 0x7f7112c9fb30; to 'Tensor' at 0x7f7106de8950>
2022-11-23T01:32:38.3468259Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3468326Z             }
2022-11-23T01:32:38.3468389Z             
2022-11-23T01:32:38.3468457Z  - 
2022-11-23T01:32:38.3468566Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3468627Z             {
2022-11-23T01:32:38.3468768Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3468878Z                 'code': None,
2022-11-23T01:32:38.3469089Z                 'obj_weakref': <weakref at 0x7f70f10bc8f0; to 'Tensor' at 0x7f71060d91d0>
2022-11-23T01:32:38.3469336Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3469399Z             }
2022-11-23T01:32:38.3469448Z             
2022-11-23T01:32:38.3469516Z  - 
2022-11-23T01:32:38.3469646Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3469708Z             {
2022-11-23T01:32:38.3469840Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3470007Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3475463Z                 'obj_weakref': None
2022-11-23T01:32:38.3475743Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3475810Z             }
2022-11-23T01:32:38.3475876Z             
2022-11-23T01:32:38.3475945Z  - 
2022-11-23T01:32:38.3476068Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3476135Z             {
2022-11-23T01:32:38.3476273Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3476482Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3476601Z                 'obj_weakref': None
2022-11-23T01:32:38.3476824Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3476888Z             }
2022-11-23T01:32:38.3476950Z             
2022-11-23T01:32:38.3477342Z [2022-11-23 01:30:58,475] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 475
2022-11-23T01:32:38.3477722Z [2022-11-23 01:30:58,488] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fb/cfbqxp3jyx3sqdgwgciqct7nxywxsjtb2qhotg2c7aqtfp7fyoh4.py
2022-11-23T01:32:38.3477985Z [2022-11-23 01:30:58,489] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 475
2022-11-23T01:32:38.3477995Z 
2022-11-23T01:32:38.3478172Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3478240Z import torch
2022-11-23T01:32:38.3478310Z import random
2022-11-23T01:32:38.3478425Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3478548Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3478553Z 
2022-11-23T01:32:38.3478667Z aten = torch.ops.aten
2022-11-23T01:32:38.3478804Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3478884Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3478903Z 
2022-11-23T01:32:38.3478907Z 
2022-11-23T01:32:38.3479029Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3479235Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3479354Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3479458Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3479557Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3479621Z {
2022-11-23T01:32:38.3479719Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3479769Z     {
2022-11-23T01:32:38.3479845Z         #pragma omp for 
2022-11-23T01:32:38.3479927Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:38.3479990Z         {
2022-11-23T01:32:38.3480131Z             auto tmp0 = at::vec::Vectorized<float>(in_ptr0[0]);
2022-11-23T01:32:38.3480264Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.3480349Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3480429Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.3480492Z         }
2022-11-23T01:32:38.3480588Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.3480672Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T01:32:38.3480736Z         {
2022-11-23T01:32:38.3480821Z             auto tmp0 = in_ptr0[0];
2022-11-23T01:32:38.3480905Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.3480979Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3481058Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.3481119Z         }
2022-11-23T01:32:38.3481178Z     }
2022-11-23T01:32:38.3481238Z }
2022-11-23T01:32:38.3481315Z ''')
2022-11-23T01:32:38.3481320Z 
2022-11-23T01:32:38.3481324Z 
2022-11-23T01:32:38.3481416Z async_compile.wait(globals())
2022-11-23T01:32:38.3481477Z del async_compile
2022-11-23T01:32:38.3481482Z 
2022-11-23T01:32:38.3481551Z def call(args):
2022-11-23T01:32:38.3481627Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3481698Z     args.clear()
2022-11-23T01:32:38.3481899Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3482062Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3482129Z     del arg0_1
2022-11-23T01:32:38.3482183Z     del arg1_1
2022-11-23T01:32:38.3482254Z     return (buf0, )
2022-11-23T01:32:38.3482259Z 
2022-11-23T01:32:38.3482263Z 
2022-11-23T01:32:38.3482340Z if __name__ == "__main__":
2022-11-23T01:32:38.3482453Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3482576Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3482767Z     arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3482966Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3483080Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3483085Z 
2022-11-23T01:32:38.3483141Z ok (0.049s)
2022-11-23T01:32:38.3483488Z   test_cpu_dense_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:30:58,496] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3483756Z [2022-11-23 01:30:58,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3483975Z [2022-11-23 01:30:58,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3484263Z [2022-11-23 01:30:58,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3484546Z [2022-11-23 01:30:58,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3484897Z [2022-11-23 01:30:58,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3485234Z [2022-11-23 01:30:58,496] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3485324Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3485415Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3485476Z               4 BINARY_ADD
2022-11-23T01:32:38.3485564Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3485638Z               8 RETURN_VALUE
2022-11-23T01:32:38.3485702Z  
2022-11-23T01:32:38.3485706Z 
2022-11-23T01:32:38.3485971Z [2022-11-23 01:30:58,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3486178Z [2022-11-23 01:30:58,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3486417Z [2022-11-23 01:30:58,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3486677Z [2022-11-23 01:30:58,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3486918Z [2022-11-23 01:30:58,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3487164Z [2022-11-23 01:30:58,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3487496Z [2022-11-23 01:30:58,499] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3487744Z [2022-11-23 01:30:58,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3487977Z [2022-11-23 01:30:58,499] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3488230Z [2022-11-23 01:30:58,501] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3488477Z [2022-11-23 01:30:58,505] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3488664Z [2022-11-23 01:30:58,505] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3488797Z  __compiled_fn_484 <eval_with_key>.2983 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3488874Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3488959Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3489136Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3489234Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3489239Z 
2022-11-23T01:32:38.3489514Z [2022-11-23 01:30:58,506] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3489609Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3489698Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3489780Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3489868Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3489941Z               8 RETURN_VALUE
2022-11-23T01:32:38.3489947Z 
2022-11-23T01:32:38.3490007Z  
2022-11-23T01:32:38.3490279Z [2022-11-23 01:30:58,506] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3490388Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_484)
2022-11-23T01:32:38.3490477Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3490595Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3490657Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3490744Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3490830Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3490931Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3491019Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3491122Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3491223Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3491298Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3491373Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3491460Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3491534Z              26 RETURN_VALUE
2022-11-23T01:32:38.3491539Z 
2022-11-23T01:32:38.3491599Z  
2022-11-23T01:32:38.3491782Z [2022-11-23 01:30:58,534] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3491853Z  - 
2022-11-23T01:32:38.3491958Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3492022Z             {
2022-11-23T01:32:38.3492161Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3492350Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3492471Z                 'obj_weakref': None
2022-11-23T01:32:38.3492694Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3492758Z             }
2022-11-23T01:32:38.3492809Z             
2022-11-23T01:32:38.3492875Z  - 
2022-11-23T01:32:38.3492997Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3493060Z             {
2022-11-23T01:32:38.3493202Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3493308Z                 'code': None,
2022-11-23T01:32:38.3493513Z                 'obj_weakref': <weakref at 0x7f710715b530; to 'Tensor' at 0x7f7106d8fe90>
2022-11-23T01:32:38.3493752Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3493815Z             }
2022-11-23T01:32:38.3493876Z             
2022-11-23T01:32:38.3493944Z  - 
2022-11-23T01:32:38.3494067Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3494132Z             {
2022-11-23T01:32:38.3494275Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3494368Z                 'code': None,
2022-11-23T01:32:38.3494571Z                 'obj_weakref': <weakref at 0x7f71c465a710; to 'Tensor' at 0x7f7106d8fb30>
2022-11-23T01:32:38.3494821Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3494885Z             }
2022-11-23T01:32:38.3494947Z             
2022-11-23T01:32:38.3495015Z  - 
2022-11-23T01:32:38.3495148Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3495198Z             {
2022-11-23T01:32:38.3495330Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3495500Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3495617Z                 'obj_weakref': None
2022-11-23T01:32:38.3495842Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3495906Z             }
2022-11-23T01:32:38.3495969Z             
2022-11-23T01:32:38.3496025Z  - 
2022-11-23T01:32:38.3496143Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3496204Z             {
2022-11-23T01:32:38.3496338Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3496552Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3496669Z                 'obj_weakref': None
2022-11-23T01:32:38.3496883Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3496933Z             }
2022-11-23T01:32:38.3496994Z             
2022-11-23T01:32:38.3497284Z [2022-11-23 01:30:58,542] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 476
2022-11-23T01:32:38.3497645Z [2022-11-23 01:31:01,101] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a4/ca4aq5p3taib754myu3i5o526evi57ffwrvpshhmnboq4ccx3yei.py
2022-11-23T01:32:38.3497935Z [2022-11-23 01:31:01,102] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 476
2022-11-23T01:32:38.3497942Z 
2022-11-23T01:32:38.3498039Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3498108Z import torch
2022-11-23T01:32:38.3498178Z import random
2022-11-23T01:32:38.3498282Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3498402Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3498407Z 
2022-11-23T01:32:38.3498485Z aten = torch.ops.aten
2022-11-23T01:32:38.3498618Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3498710Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3498717Z 
2022-11-23T01:32:38.3498721Z 
2022-11-23T01:32:38.3498853Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3499057Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3499179Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3499284Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3499373Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3499433Z {
2022-11-23T01:32:38.3499530Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3499591Z     {
2022-11-23T01:32:38.3499668Z         #pragma omp for 
2022-11-23T01:32:38.3499749Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3499799Z         {
2022-11-23T01:32:38.3499878Z             #pragma GCC ivdep
2022-11-23T01:32:38.3499963Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3500026Z             {
2022-11-23T01:32:38.3500094Z                 {
2022-11-23T01:32:38.3500159Z                     {
2022-11-23T01:32:38.3500262Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:38.3500343Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:38.3500436Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3500533Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:38.3500599Z                     }
2022-11-23T01:32:38.3500662Z                 }
2022-11-23T01:32:38.3500724Z             }
2022-11-23T01:32:38.3500786Z         }
2022-11-23T01:32:38.3500834Z     }
2022-11-23T01:32:38.3500893Z }
2022-11-23T01:32:38.3500970Z ''')
2022-11-23T01:32:38.3500976Z 
2022-11-23T01:32:38.3500980Z 
2022-11-23T01:32:38.3501069Z async_compile.wait(globals())
2022-11-23T01:32:38.3501142Z del async_compile
2022-11-23T01:32:38.3501147Z 
2022-11-23T01:32:38.3501218Z def call(args):
2022-11-23T01:32:38.3501298Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3501357Z     args.clear()
2022-11-23T01:32:38.3501559Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3501724Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3501794Z     del arg0_1
2022-11-23T01:32:38.3501860Z     del arg1_1
2022-11-23T01:32:38.3501934Z     return (buf0, )
2022-11-23T01:32:38.3501940Z 
2022-11-23T01:32:38.3501944Z 
2022-11-23T01:32:38.3502023Z if __name__ == "__main__":
2022-11-23T01:32:38.3502139Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3502250Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3502448Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3502642Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3502757Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3502762Z 
2022-11-23T01:32:38.3502831Z ok (2.615s)
2022-11-23T01:32:38.3503210Z   test_cpu_dense_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:01,116] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3503505Z [2022-11-23 01:31:01,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3503727Z [2022-11-23 01:31:01,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3503967Z [2022-11-23 01:31:01,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3504252Z [2022-11-23 01:31:01,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3504656Z [2022-11-23 01:31:01,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3504991Z [2022-11-23 01:31:01,117] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3505086Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3505178Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3505253Z               4 BINARY_ADD
2022-11-23T01:32:38.3505346Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3505423Z               8 RETURN_VALUE
2022-11-23T01:32:38.3505472Z  
2022-11-23T01:32:38.3505477Z 
2022-11-23T01:32:38.3505743Z [2022-11-23 01:31:01,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3505952Z [2022-11-23 01:31:01,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3506193Z [2022-11-23 01:31:01,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3506467Z [2022-11-23 01:31:01,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3506712Z [2022-11-23 01:31:01,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3506956Z [2022-11-23 01:31:01,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3507295Z [2022-11-23 01:31:01,122] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3507538Z [2022-11-23 01:31:01,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3507759Z [2022-11-23 01:31:01,122] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3508012Z [2022-11-23 01:31:01,124] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3508261Z [2022-11-23 01:31:01,134] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3508451Z [2022-11-23 01:31:01,135] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3508586Z  __compiled_fn_485 <eval_with_key>.2989 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3508676Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3508767Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3508945Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3509027Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3509032Z 
2022-11-23T01:32:38.3509308Z [2022-11-23 01:31:01,136] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3509401Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3509492Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3509586Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3509677Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3509793Z               8 RETURN_VALUE
2022-11-23T01:32:38.3509798Z 
2022-11-23T01:32:38.3509859Z  
2022-11-23T01:32:38.3510118Z [2022-11-23 01:31:01,136] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3510252Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_485)
2022-11-23T01:32:38.3510343Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3510431Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3510509Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3510595Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3510681Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3510743Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3510830Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3510933Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3511035Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3511125Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3511201Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3511288Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3511350Z              26 RETURN_VALUE
2022-11-23T01:32:38.3511368Z 
2022-11-23T01:32:38.3511418Z  
2022-11-23T01:32:38.3511599Z [2022-11-23 01:31:01,138] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3511669Z  - 
2022-11-23T01:32:38.3511787Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3511851Z             {
2022-11-23T01:32:38.3511989Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3512162Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3512280Z                 'obj_weakref': None
2022-11-23T01:32:38.3512502Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3512565Z             }
2022-11-23T01:32:38.3512631Z             
2022-11-23T01:32:38.3512702Z  - 
2022-11-23T01:32:38.3512824Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3512875Z             {
2022-11-23T01:32:38.3513013Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3513119Z                 'code': None,
2022-11-23T01:32:38.3513329Z                 'obj_weakref': <weakref at 0x7f71c4695b90; to 'Tensor' at 0x7f70f161f770>
2022-11-23T01:32:38.3513576Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3513640Z             }
2022-11-23T01:32:38.3513702Z             
2022-11-23T01:32:38.3513757Z  - 
2022-11-23T01:32:38.3513877Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3513941Z             {
2022-11-23T01:32:38.3514081Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3514189Z                 'code': None,
2022-11-23T01:32:38.3514394Z                 'obj_weakref': <weakref at 0x7f71066eb6b0; to 'Tensor' at 0x7f70f161f9b0>
2022-11-23T01:32:38.3514641Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3514704Z             }
2022-11-23T01:32:38.3514753Z             
2022-11-23T01:32:38.3514821Z  - 
2022-11-23T01:32:38.3514952Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3515014Z             {
2022-11-23T01:32:38.3515147Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3515316Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3515421Z                 'obj_weakref': None
2022-11-23T01:32:38.3515646Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3515709Z             }
2022-11-23T01:32:38.3515775Z             
2022-11-23T01:32:38.3515843Z  - 
2022-11-23T01:32:38.3515964Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3516026Z             {
2022-11-23T01:32:38.3516185Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3516402Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3516519Z                 'obj_weakref': None
2022-11-23T01:32:38.3516781Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3516845Z             }
2022-11-23T01:32:38.3516908Z             
2022-11-23T01:32:38.3517289Z [2022-11-23 01:31:01,148] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 477
2022-11-23T01:32:38.3517662Z [2022-11-23 01:31:03,730] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wz/cwzybxxhdkqkao6tgayehu7am6setuvncih4ju6vij3a7zpxhg6g.py
2022-11-23T01:32:38.3517915Z [2022-11-23 01:31:03,731] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 477
2022-11-23T01:32:38.3517934Z 
2022-11-23T01:32:38.3518015Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3518087Z import torch
2022-11-23T01:32:38.3518156Z import random
2022-11-23T01:32:38.3518274Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3518396Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3518401Z 
2022-11-23T01:32:38.3518479Z aten = torch.ops.aten
2022-11-23T01:32:38.3518618Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3518697Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3518702Z 
2022-11-23T01:32:38.3518719Z 
2022-11-23T01:32:38.3518839Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3519043Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3519161Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3519265Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3519364Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3519426Z {
2022-11-23T01:32:38.3519526Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3519575Z     {
2022-11-23T01:32:38.3519650Z         #pragma omp for 
2022-11-23T01:32:38.3519731Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3519796Z         {
2022-11-23T01:32:38.3519874Z             #pragma GCC ivdep
2022-11-23T01:32:38.3519961Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3520012Z             {
2022-11-23T01:32:38.3520075Z                 {
2022-11-23T01:32:38.3520142Z                     {
2022-11-23T01:32:38.3520245Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:38.3520338Z                         auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.3520430Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3520525Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:38.3520620Z                     }
2022-11-23T01:32:38.3520683Z                 }
2022-11-23T01:32:38.3520747Z             }
2022-11-23T01:32:38.3520809Z         }
2022-11-23T01:32:38.3520872Z     }
2022-11-23T01:32:38.3520931Z }
2022-11-23T01:32:38.3521008Z ''')
2022-11-23T01:32:38.3521013Z 
2022-11-23T01:32:38.3521018Z 
2022-11-23T01:32:38.3521094Z async_compile.wait(globals())
2022-11-23T01:32:38.3521165Z del async_compile
2022-11-23T01:32:38.3521170Z 
2022-11-23T01:32:38.3521240Z def call(args):
2022-11-23T01:32:38.3521314Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3521384Z     args.clear()
2022-11-23T01:32:38.3521590Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3521752Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3521818Z     del arg0_1
2022-11-23T01:32:38.3521871Z     del arg1_1
2022-11-23T01:32:38.3521940Z     return (buf0, )
2022-11-23T01:32:38.3521945Z 
2022-11-23T01:32:38.3521949Z 
2022-11-23T01:32:38.3522023Z if __name__ == "__main__":
2022-11-23T01:32:38.3522135Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3522309Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3522511Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3522716Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3522850Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3522868Z 
2022-11-23T01:32:38.3522922Z ok (2.629s)
2022-11-23T01:32:38.3523268Z   test_cpu_dense_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:03,745] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3523538Z [2022-11-23 01:31:03,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3523755Z [2022-11-23 01:31:03,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3524009Z [2022-11-23 01:31:03,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3524295Z [2022-11-23 01:31:03,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3524620Z [2022-11-23 01:31:03,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3524949Z [2022-11-23 01:31:03,746] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3525041Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3525118Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3525191Z               4 BINARY_ADD
2022-11-23T01:32:38.3525281Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3525357Z               8 RETURN_VALUE
2022-11-23T01:32:38.3525417Z  
2022-11-23T01:32:38.3525422Z 
2022-11-23T01:32:38.3525685Z [2022-11-23 01:31:03,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3525897Z [2022-11-23 01:31:03,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3526132Z [2022-11-23 01:31:03,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3526390Z [2022-11-23 01:31:03,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3526628Z [2022-11-23 01:31:03,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3526870Z [2022-11-23 01:31:03,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3527203Z [2022-11-23 01:31:03,750] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3527447Z [2022-11-23 01:31:03,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3527683Z [2022-11-23 01:31:03,751] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3527937Z [2022-11-23 01:31:03,753] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3528185Z [2022-11-23 01:31:03,759] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3528372Z [2022-11-23 01:31:03,760] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3528494Z  __compiled_fn_486 <eval_with_key>.2995 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3528581Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3528668Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3528844Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3528937Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3528942Z 
2022-11-23T01:32:38.3529245Z [2022-11-23 01:31:03,761] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3529338Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3529427Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3529535Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3529625Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3529701Z               8 RETURN_VALUE
2022-11-23T01:32:38.3529706Z 
2022-11-23T01:32:38.3529765Z  
2022-11-23T01:32:38.3530040Z [2022-11-23 01:31:03,761] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3530147Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_486)
2022-11-23T01:32:38.3530238Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3530316Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3530391Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3530481Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3530567Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3530641Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3530728Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3530833Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3530922Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3531009Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3531084Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3531172Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3531247Z              26 RETURN_VALUE
2022-11-23T01:32:38.3531252Z 
2022-11-23T01:32:38.3531312Z  
2022-11-23T01:32:38.3531493Z [2022-11-23 01:31:03,763] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3531561Z  - 
2022-11-23T01:32:38.3531667Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3531732Z             {
2022-11-23T01:32:38.3531870Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3532056Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3532174Z                 'obj_weakref': None
2022-11-23T01:32:38.3532401Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3532465Z             }
2022-11-23T01:32:38.3532516Z             
2022-11-23T01:32:38.3532583Z  - 
2022-11-23T01:32:38.3532705Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3532768Z             {
2022-11-23T01:32:38.3532909Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3533015Z                 'code': None,
2022-11-23T01:32:38.3533225Z                 'obj_weakref': <weakref at 0x7f710639d8f0; to 'Tensor' at 0x7f71060ebbf0>
2022-11-23T01:32:38.3533460Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3533526Z             }
2022-11-23T01:32:38.3533588Z             
2022-11-23T01:32:38.3533655Z  - 
2022-11-23T01:32:38.3533777Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3533839Z             {
2022-11-23T01:32:38.3533981Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3534076Z                 'code': None,
2022-11-23T01:32:38.3534278Z                 'obj_weakref': <weakref at 0x7f710639d590; to 'Tensor' at 0x7f710714ae90>
2022-11-23T01:32:38.3534527Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3534589Z             }
2022-11-23T01:32:38.3534652Z             
2022-11-23T01:32:38.3534720Z  - 
2022-11-23T01:32:38.3534847Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3534898Z             {
2022-11-23T01:32:38.3535029Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3535195Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3535343Z                 'obj_weakref': None
2022-11-23T01:32:38.3535571Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3535635Z             }
2022-11-23T01:32:38.3535698Z             
2022-11-23T01:32:38.3535753Z  - 
2022-11-23T01:32:38.3535899Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3535964Z             {
2022-11-23T01:32:38.3536099Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3536313Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3536429Z                 'obj_weakref': None
2022-11-23T01:32:38.3536644Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3536695Z             }
2022-11-23T01:32:38.3536756Z             
2022-11-23T01:32:38.3537015Z [2022-11-23 01:31:03,774] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 478
2022-11-23T01:32:38.3537386Z [2022-11-23 01:31:06,366] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qx/cqxcvqs6ga7dvsdi63lyfzkl63kvjrl5bulrjaczhy24sgumyfma.py
2022-11-23T01:32:38.3537649Z [2022-11-23 01:31:06,367] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 478
2022-11-23T01:32:38.3537655Z 
2022-11-23T01:32:38.3537747Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3537815Z import torch
2022-11-23T01:32:38.3537883Z import random
2022-11-23T01:32:38.3537986Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3538106Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3538111Z 
2022-11-23T01:32:38.3538187Z aten = torch.ops.aten
2022-11-23T01:32:38.3538320Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3538411Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3538416Z 
2022-11-23T01:32:38.3538421Z 
2022-11-23T01:32:38.3538554Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3538757Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3538875Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3538968Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3539066Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3539127Z {
2022-11-23T01:32:38.3539224Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3539286Z     {
2022-11-23T01:32:38.3539362Z         #pragma omp for 
2022-11-23T01:32:38.3539443Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:38.3539493Z         {
2022-11-23T01:32:38.3539634Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.3539754Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T01:32:38.3539838Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3539931Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.3539998Z         }
2022-11-23T01:32:38.3540095Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.3540166Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T01:32:38.3540229Z         {
2022-11-23T01:32:38.3540313Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.3540399Z             auto tmp1 = in_ptr1[0];
2022-11-23T01:32:38.3540484Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3540564Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.3540631Z         }
2022-11-23T01:32:38.3540679Z     }
2022-11-23T01:32:38.3540739Z }
2022-11-23T01:32:38.3540818Z ''')
2022-11-23T01:32:38.3540823Z 
2022-11-23T01:32:38.3540828Z 
2022-11-23T01:32:38.3540919Z async_compile.wait(globals())
2022-11-23T01:32:38.3540993Z del async_compile
2022-11-23T01:32:38.3540998Z 
2022-11-23T01:32:38.3541069Z def call(args):
2022-11-23T01:32:38.3541146Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3541203Z     args.clear()
2022-11-23T01:32:38.3541403Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3541594Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3541664Z     del arg0_1
2022-11-23T01:32:38.3541731Z     del arg1_1
2022-11-23T01:32:38.3541804Z     return (buf0, )
2022-11-23T01:32:38.3541838Z 
2022-11-23T01:32:38.3541843Z 
2022-11-23T01:32:38.3541921Z if __name__ == "__main__":
2022-11-23T01:32:38.3542035Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3542145Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3542346Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3542538Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3542657Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3542662Z 
2022-11-23T01:32:38.3542731Z ok (2.635s)
2022-11-23T01:32:38.3543067Z   test_cpu_dense_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:06,381] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3543338Z [2022-11-23 01:31:06,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3543560Z [2022-11-23 01:31:06,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3543800Z [2022-11-23 01:31:06,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3544087Z [2022-11-23 01:31:06,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3544411Z [2022-11-23 01:31:06,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3544819Z [2022-11-23 01:31:06,382] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3544916Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3545007Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3545082Z               4 BINARY_ADD
2022-11-23T01:32:38.3545175Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3545238Z               8 RETURN_VALUE
2022-11-23T01:32:38.3545301Z  
2022-11-23T01:32:38.3545306Z 
2022-11-23T01:32:38.3545572Z [2022-11-23 01:31:06,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3545782Z [2022-11-23 01:31:06,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3546021Z [2022-11-23 01:31:06,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3546295Z [2022-11-23 01:31:06,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3546539Z [2022-11-23 01:31:06,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3546787Z [2022-11-23 01:31:06,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3547129Z [2022-11-23 01:31:06,386] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3547360Z [2022-11-23 01:31:06,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3547590Z [2022-11-23 01:31:06,386] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3547841Z [2022-11-23 01:31:06,388] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3548089Z [2022-11-23 01:31:06,394] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3548315Z [2022-11-23 01:31:06,395] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3548452Z  __compiled_fn_487 <eval_with_key>.3001 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3548543Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3548628Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3548834Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3548917Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3548922Z 
2022-11-23T01:32:38.3549196Z [2022-11-23 01:31:06,396] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3549290Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3549381Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3549474Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3549563Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3549640Z               8 RETURN_VALUE
2022-11-23T01:32:38.3549647Z 
2022-11-23T01:32:38.3549708Z  
2022-11-23T01:32:38.3549967Z [2022-11-23 01:31:06,396] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3550076Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_487)
2022-11-23T01:32:38.3550169Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3550260Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3550338Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3550424Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3550514Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3550576Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3550666Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3550768Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3550869Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3550958Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3551035Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3551121Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3551184Z              26 RETURN_VALUE
2022-11-23T01:32:38.3551188Z 
2022-11-23T01:32:38.3551246Z  
2022-11-23T01:32:38.3551426Z [2022-11-23 01:31:06,398] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3551495Z  - 
2022-11-23T01:32:38.3551614Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3551676Z             {
2022-11-23T01:32:38.3551816Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3551990Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3552108Z                 'obj_weakref': None
2022-11-23T01:32:38.3552331Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3552394Z             }
2022-11-23T01:32:38.3552456Z             
2022-11-23T01:32:38.3552525Z  - 
2022-11-23T01:32:38.3552648Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3552699Z             {
2022-11-23T01:32:38.3552839Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3552944Z                 'code': None,
2022-11-23T01:32:38.3553154Z                 'obj_weakref': <weakref at 0x7f710715b5f0; to 'Tensor' at 0x7f7106a47770>
2022-11-23T01:32:38.3553400Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3553463Z             }
2022-11-23T01:32:38.3553526Z             
2022-11-23T01:32:38.3553583Z  - 
2022-11-23T01:32:38.3553703Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3553766Z             {
2022-11-23T01:32:38.3553908Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3554014Z                 'code': None,
2022-11-23T01:32:38.3554221Z                 'obj_weakref': <weakref at 0x7f70f109f6b0; to 'Tensor' at 0x7f714126b290>
2022-11-23T01:32:38.3554499Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3554550Z             }
2022-11-23T01:32:38.3554611Z             
2022-11-23T01:32:38.3554678Z  - 
2022-11-23T01:32:38.3554808Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3554900Z             {
2022-11-23T01:32:38.3555034Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3555201Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3555309Z                 'obj_weakref': None
2022-11-23T01:32:38.3555532Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3555595Z             }
2022-11-23T01:32:38.3555656Z             
2022-11-23T01:32:38.3555723Z  - 
2022-11-23T01:32:38.3555842Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3555905Z             {
2022-11-23T01:32:38.3556027Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3556243Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3556360Z                 'obj_weakref': None
2022-11-23T01:32:38.3556576Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3556641Z             }
2022-11-23T01:32:38.3556702Z             
2022-11-23T01:32:38.3556959Z [2022-11-23 01:31:06,409] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 479
2022-11-23T01:32:38.3557488Z [2022-11-23 01:31:09,002] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hj/chjeiab37nosjk2lalg7ncpmoa4mu34vwhqq5bu5tcq2grcgkjsa.py
2022-11-23T01:32:38.3557740Z [2022-11-23 01:31:09,003] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 479
2022-11-23T01:32:38.3557759Z 
2022-11-23T01:32:38.3557838Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3557909Z import torch
2022-11-23T01:32:38.3557983Z import random
2022-11-23T01:32:38.3558100Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3558219Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3558225Z 
2022-11-23T01:32:38.3558302Z aten = torch.ops.aten
2022-11-23T01:32:38.3558438Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3558517Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3558521Z 
2022-11-23T01:32:38.3558526Z 
2022-11-23T01:32:38.3558658Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3558867Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3558987Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3559091Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3559189Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3559250Z {
2022-11-23T01:32:38.3559335Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3559398Z     {
2022-11-23T01:32:38.3559474Z         #pragma omp for 
2022-11-23T01:32:38.3559555Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:38.3559617Z         {
2022-11-23T01:32:38.3559755Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.3559889Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.3559974Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3560051Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.3560113Z         }
2022-11-23T01:32:38.3560207Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.3560289Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T01:32:38.3560350Z         {
2022-11-23T01:32:38.3560436Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.3560506Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.3560587Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3560669Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.3560784Z         }
2022-11-23T01:32:38.3560846Z     }
2022-11-23T01:32:38.3560907Z }
2022-11-23T01:32:38.3560984Z ''')
2022-11-23T01:32:38.3560989Z 
2022-11-23T01:32:38.3560994Z 
2022-11-23T01:32:38.3561082Z async_compile.wait(globals())
2022-11-23T01:32:38.3561142Z del async_compile
2022-11-23T01:32:38.3561147Z 
2022-11-23T01:32:38.3561264Z def call(args):
2022-11-23T01:32:38.3561342Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3561412Z     args.clear()
2022-11-23T01:32:38.3561614Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3561775Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3561842Z     del arg0_1
2022-11-23T01:32:38.3561896Z     del arg1_1
2022-11-23T01:32:38.3561966Z     return (buf0, )
2022-11-23T01:32:38.3561971Z 
2022-11-23T01:32:38.3561975Z 
2022-11-23T01:32:38.3562049Z if __name__ == "__main__":
2022-11-23T01:32:38.3562164Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3562288Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3562487Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3562686Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3562801Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3562807Z 
2022-11-23T01:32:38.3562860Z ok (2.636s)
2022-11-23T01:32:38.3563202Z   test_cpu_dense_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:09,014] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3563470Z [2022-11-23 01:31:09,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3563687Z [2022-11-23 01:31:09,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3563942Z [2022-11-23 01:31:09,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3564229Z [2022-11-23 01:31:09,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3564556Z [2022-11-23 01:31:09,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3564885Z [2022-11-23 01:31:09,015] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3565012Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3565091Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3565164Z               4 BINARY_ADD
2022-11-23T01:32:38.3565253Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3565328Z               8 RETURN_VALUE
2022-11-23T01:32:38.3565388Z  
2022-11-23T01:32:38.3565393Z 
2022-11-23T01:32:38.3565662Z [2022-11-23 01:31:09,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3565871Z [2022-11-23 01:31:09,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3566109Z [2022-11-23 01:31:09,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3566368Z [2022-11-23 01:31:09,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3566610Z [2022-11-23 01:31:09,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3566853Z [2022-11-23 01:31:09,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3567186Z [2022-11-23 01:31:09,018] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3567428Z [2022-11-23 01:31:09,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3567690Z [2022-11-23 01:31:09,019] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3568014Z [2022-11-23 01:31:09,020] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3568263Z [2022-11-23 01:31:09,026] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3568450Z [2022-11-23 01:31:09,026] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3568572Z  __compiled_fn_488 <eval_with_key>.3007 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3568661Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3568750Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3568928Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3569022Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3569030Z 
2022-11-23T01:32:38.3569308Z [2022-11-23 01:31:09,027] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3569401Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3569494Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3569616Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3569705Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3569783Z               8 RETURN_VALUE
2022-11-23T01:32:38.3569787Z 
2022-11-23T01:32:38.3569849Z  
2022-11-23T01:32:38.3570122Z [2022-11-23 01:31:09,027] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3570230Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_488)
2022-11-23T01:32:38.3570319Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3570408Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3570474Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3570560Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3570647Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3570722Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3570808Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3570911Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3571011Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3571087Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3571161Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3571249Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3571323Z              26 RETURN_VALUE
2022-11-23T01:32:38.3571328Z 
2022-11-23T01:32:38.3571386Z  
2022-11-23T01:32:38.3571566Z [2022-11-23 01:31:09,028] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3571635Z  - 
2022-11-23T01:32:38.3571740Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3571805Z             {
2022-11-23T01:32:38.3571943Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3572129Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3572247Z                 'obj_weakref': None
2022-11-23T01:32:38.3572475Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3572539Z             }
2022-11-23T01:32:38.3572589Z             
2022-11-23T01:32:38.3572657Z  - 
2022-11-23T01:32:38.3572782Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3572845Z             {
2022-11-23T01:32:38.3572985Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3573092Z                 'code': None,
2022-11-23T01:32:38.3573298Z                 'obj_weakref': <weakref at 0x7f710639d170; to 'Tensor' at 0x7f714126b290>
2022-11-23T01:32:38.3573532Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3573624Z             }
2022-11-23T01:32:38.3573686Z             
2022-11-23T01:32:38.3573754Z  - 
2022-11-23T01:32:38.3573875Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3573936Z             {
2022-11-23T01:32:38.3574078Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3574194Z                 'code': None,
2022-11-23T01:32:38.3574404Z                 'obj_weakref': <weakref at 0x7f70f10a40b0; to 'Tensor' at 0x7f70f161d5f0>
2022-11-23T01:32:38.3574650Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3574713Z             }
2022-11-23T01:32:38.3574775Z             
2022-11-23T01:32:38.3574843Z  - 
2022-11-23T01:32:38.3574973Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3575023Z             {
2022-11-23T01:32:38.3575155Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3575322Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3575442Z                 'obj_weakref': None
2022-11-23T01:32:38.3575668Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3575731Z             }
2022-11-23T01:32:38.3575793Z             
2022-11-23T01:32:38.3575849Z  - 
2022-11-23T01:32:38.3575969Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3576031Z             {
2022-11-23T01:32:38.3576165Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3576381Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3576498Z                 'obj_weakref': None
2022-11-23T01:32:38.3576712Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3576764Z             }
2022-11-23T01:32:38.3576824Z             
2022-11-23T01:32:38.3577083Z [2022-11-23 01:31:09,037] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 480
2022-11-23T01:32:38.3577452Z [2022-11-23 01:31:11,652] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zg/czgaes66ak56j64ibldcp6panbygiajguswkxx3xh7rsoeao73wp.py
2022-11-23T01:32:38.3577716Z [2022-11-23 01:31:11,653] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 480
2022-11-23T01:32:38.3577721Z 
2022-11-23T01:32:38.3577815Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3577882Z import torch
2022-11-23T01:32:38.3577950Z import random
2022-11-23T01:32:38.3578050Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3578168Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3578174Z 
2022-11-23T01:32:38.3578251Z aten = torch.ops.aten
2022-11-23T01:32:38.3578383Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3578476Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3578480Z 
2022-11-23T01:32:38.3578484Z 
2022-11-23T01:32:38.3578618Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3578822Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3578943Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3579039Z                        const double* __restrict__ in_ptr1,
2022-11-23T01:32:38.3579141Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:38.3579204Z {
2022-11-23T01:32:38.3579301Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3579366Z     {
2022-11-23T01:32:38.3579444Z         #pragma omp for 
2022-11-23T01:32:38.3579527Z         for(long i0=0; i0<100; i0+=1)
2022-11-23T01:32:38.3579578Z         {
2022-11-23T01:32:38.3579641Z             {
2022-11-23T01:32:38.3579707Z                 {
2022-11-23T01:32:38.3579800Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.3579892Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:38.3580003Z                     auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:32:38.3580120Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:38.3580192Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:38.3580258Z                 }
2022-11-23T01:32:38.3580324Z             }
2022-11-23T01:32:38.3580389Z         }
2022-11-23T01:32:38.3580476Z     }
2022-11-23T01:32:38.3580537Z }
2022-11-23T01:32:38.3580603Z ''')
2022-11-23T01:32:38.3580625Z 
2022-11-23T01:32:38.3580629Z 
2022-11-23T01:32:38.3580706Z async_compile.wait(globals())
2022-11-23T01:32:38.3580777Z del async_compile
2022-11-23T01:32:38.3580782Z 
2022-11-23T01:32:38.3580854Z def call(args):
2022-11-23T01:32:38.3580930Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3581002Z     args.clear()
2022-11-23T01:32:38.3581205Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3581369Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3581424Z     del arg0_1
2022-11-23T01:32:38.3581495Z     del arg1_1
2022-11-23T01:32:38.3581566Z     return (buf0, )
2022-11-23T01:32:38.3581575Z 
2022-11-23T01:32:38.3581579Z 
2022-11-23T01:32:38.3581656Z if __name__ == "__main__":
2022-11-23T01:32:38.3581771Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3581896Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3582098Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3582297Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3582399Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3582404Z 
2022-11-23T01:32:38.3582472Z ok (2.650s)
2022-11-23T01:32:38.3582808Z   test_cpu_dense_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:11,667] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3583078Z [2022-11-23 01:31:11,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3583298Z [2022-11-23 01:31:11,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3583549Z [2022-11-23 01:31:11,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3583838Z [2022-11-23 01:31:11,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3584161Z [2022-11-23 01:31:11,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3584568Z [2022-11-23 01:31:11,668] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3584652Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3584744Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3584822Z               4 BINARY_ADD
2022-11-23T01:32:38.3584911Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3584988Z               8 RETURN_VALUE
2022-11-23T01:32:38.3585049Z  
2022-11-23T01:32:38.3585054Z 
2022-11-23T01:32:38.3585327Z [2022-11-23 01:31:11,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3585538Z [2022-11-23 01:31:11,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3585760Z [2022-11-23 01:31:11,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3586034Z [2022-11-23 01:31:11,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3586274Z [2022-11-23 01:31:11,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3586517Z [2022-11-23 01:31:11,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3586885Z [2022-11-23 01:31:11,673] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3587156Z [2022-11-23 01:31:11,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3587390Z [2022-11-23 01:31:11,673] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3587642Z [2022-11-23 01:31:11,675] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3587887Z [2022-11-23 01:31:11,682] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3588062Z [2022-11-23 01:31:11,683] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3588197Z  __compiled_fn_489 <eval_with_key>.3013 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3588285Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3588373Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3588551Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3588648Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3588654Z 
2022-11-23T01:32:38.3588931Z [2022-11-23 01:31:11,683] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3589025Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3589103Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3589195Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3589286Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3589362Z               8 RETURN_VALUE
2022-11-23T01:32:38.3589368Z 
2022-11-23T01:32:38.3589429Z  
2022-11-23T01:32:38.3589704Z [2022-11-23 01:31:11,684] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3589814Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_489)
2022-11-23T01:32:38.3589904Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3589981Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3590058Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3590147Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3590265Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3590339Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3590425Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3590532Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3590620Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3590709Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3590783Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3590871Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3590947Z              26 RETURN_VALUE
2022-11-23T01:32:38.3590954Z 
2022-11-23T01:32:38.3591015Z  
2022-11-23T01:32:38.3591194Z [2022-11-23 01:31:11,685] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3591251Z  - 
2022-11-23T01:32:38.3591368Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3591431Z             {
2022-11-23T01:32:38.3591574Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3591758Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3591875Z                 'obj_weakref': None
2022-11-23T01:32:38.3592097Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3592150Z             }
2022-11-23T01:32:38.3592212Z             
2022-11-23T01:32:38.3592283Z  - 
2022-11-23T01:32:38.3592405Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3592468Z             {
2022-11-23T01:32:38.3592609Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3592717Z                 'code': None,
2022-11-23T01:32:38.3592944Z                 'obj_weakref': <weakref at 0x7f710714ae90; to 'Tensor' at 0x7f70f10bc110>
2022-11-23T01:32:38.3593190Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3593252Z             }
2022-11-23T01:32:38.3593341Z             
2022-11-23T01:32:38.3593410Z  - 
2022-11-23T01:32:38.3593531Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3593594Z             {
2022-11-23T01:32:38.3593722Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3593826Z                 'code': None,
2022-11-23T01:32:38.3594030Z                 'obj_weakref': <weakref at 0x7f7141280e90; to 'Tensor' at 0x7f710ce16050>
2022-11-23T01:32:38.3594277Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3594339Z             }
2022-11-23T01:32:38.3594401Z             
2022-11-23T01:32:38.3594469Z  - 
2022-11-23T01:32:38.3594586Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3594648Z             {
2022-11-23T01:32:38.3594782Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3594950Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3595071Z                 'obj_weakref': None
2022-11-23T01:32:38.3595297Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3595360Z             }
2022-11-23T01:32:38.3595410Z             
2022-11-23T01:32:38.3595475Z  - 
2022-11-23T01:32:38.3595595Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3595657Z             {
2022-11-23T01:32:38.3595791Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3596004Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3596122Z                 'obj_weakref': None
2022-11-23T01:32:38.3596326Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3596390Z             }
2022-11-23T01:32:38.3596452Z             
2022-11-23T01:32:38.3596709Z [2022-11-23 01:31:11,696] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 481
2022-11-23T01:32:38.3597075Z [2022-11-23 01:31:14,320] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wt/cwt542gpulbk5vfe2hip3k7nj23prcjbuv7dujy3depqz7qbxq62.py
2022-11-23T01:32:38.3597452Z [2022-11-23 01:31:14,320] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 481
2022-11-23T01:32:38.3597460Z 
2022-11-23T01:32:38.3597553Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3597668Z import torch
2022-11-23T01:32:38.3597724Z import random
2022-11-23T01:32:38.3597837Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3597957Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3597962Z 
2022-11-23T01:32:38.3598042Z aten = torch.ops.aten
2022-11-23T01:32:38.3598176Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3598267Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3598272Z 
2022-11-23T01:32:38.3598277Z 
2022-11-23T01:32:38.3598409Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3598614Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3598721Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3598823Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:32:38.3598921Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3598982Z {
2022-11-23T01:32:38.3599079Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3599140Z     {
2022-11-23T01:32:38.3599218Z         #pragma omp for 
2022-11-23T01:32:38.3599288Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3599351Z         {
2022-11-23T01:32:38.3599480Z             #pragma GCC ivdep
2022-11-23T01:32:38.3599567Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3599630Z             {
2022-11-23T01:32:38.3599696Z                 {
2022-11-23T01:32:38.3599763Z                     {
2022-11-23T01:32:38.3599854Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:38.3599984Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:38.3600096Z                         auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:32:38.3600189Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:38.3600286Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:38.3600352Z                     }
2022-11-23T01:32:38.3600417Z                 }
2022-11-23T01:32:38.3600467Z             }
2022-11-23T01:32:38.3600529Z         }
2022-11-23T01:32:38.3600591Z     }
2022-11-23T01:32:38.3600651Z }
2022-11-23T01:32:38.3600729Z ''')
2022-11-23T01:32:38.3600734Z 
2022-11-23T01:32:38.3600738Z 
2022-11-23T01:32:38.3600828Z async_compile.wait(globals())
2022-11-23T01:32:38.3600899Z del async_compile
2022-11-23T01:32:38.3600904Z 
2022-11-23T01:32:38.3600960Z def call(args):
2022-11-23T01:32:38.3601034Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3601104Z     args.clear()
2022-11-23T01:32:38.3601307Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3601470Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3601537Z     del arg0_1
2022-11-23T01:32:38.3601603Z     del arg1_1
2022-11-23T01:32:38.3601661Z     return (buf0, )
2022-11-23T01:32:38.3601665Z 
2022-11-23T01:32:38.3601683Z 
2022-11-23T01:32:38.3601745Z if __name__ == "__main__":
2022-11-23T01:32:38.3601858Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3601979Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3602179Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3602371Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:38.3602485Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3602490Z 
2022-11-23T01:32:38.3602556Z ok (2.667s)
2022-11-23T01:32:38.3602884Z   test_cpu_dense_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:14,336] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3603151Z [2022-11-23 01:31:14,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3603367Z [2022-11-23 01:31:14,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3603618Z [2022-11-23 01:31:14,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3603902Z [2022-11-23 01:31:14,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3604227Z [2022-11-23 01:31:14,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3604558Z [2022-11-23 01:31:14,337] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3604650Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3604741Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3604802Z               4 BINARY_ADD
2022-11-23T01:32:38.3604892Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3604965Z               8 RETURN_VALUE
2022-11-23T01:32:38.3605026Z  
2022-11-23T01:32:38.3605031Z 
2022-11-23T01:32:38.3605297Z [2022-11-23 01:31:14,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3605505Z [2022-11-23 01:31:14,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3605773Z [2022-11-23 01:31:14,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3606044Z [2022-11-23 01:31:14,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3606325Z [2022-11-23 01:31:14,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3606558Z [2022-11-23 01:31:14,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3606890Z [2022-11-23 01:31:14,345] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3607135Z [2022-11-23 01:31:14,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3607367Z [2022-11-23 01:31:14,345] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3607620Z [2022-11-23 01:31:14,348] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3607866Z [2022-11-23 01:31:14,355] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3608054Z [2022-11-23 01:31:14,355] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3608186Z  __compiled_fn_490 <eval_with_key>.3019 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3608275Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3608348Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3608525Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3608619Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3608624Z 
2022-11-23T01:32:38.3608898Z [2022-11-23 01:31:14,356] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3608990Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3609083Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3609175Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3609254Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3609329Z               8 RETURN_VALUE
2022-11-23T01:32:38.3609336Z 
2022-11-23T01:32:38.3609397Z  
2022-11-23T01:32:38.3609669Z [2022-11-23 01:31:14,356] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3609775Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_490)
2022-11-23T01:32:38.3609863Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3609953Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3610032Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3610106Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3610190Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3610265Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3610356Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3610457Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3610558Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3610649Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3610713Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3610799Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3610873Z              26 RETURN_VALUE
2022-11-23T01:32:38.3610878Z 
2022-11-23T01:32:38.3610937Z  
2022-11-23T01:32:38.3611116Z [2022-11-23 01:31:14,358] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3611185Z  - 
2022-11-23T01:32:38.3611304Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3611355Z             {
2022-11-23T01:32:38.3611492Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3611678Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3611826Z                 'obj_weakref': None
2022-11-23T01:32:38.3612050Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3612113Z             }
2022-11-23T01:32:38.3612175Z             
2022-11-23T01:32:38.3612230Z  - 
2022-11-23T01:32:38.3612385Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3612448Z             {
2022-11-23T01:32:38.3612589Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3612695Z                 'code': None,
2022-11-23T01:32:38.3612903Z                 'obj_weakref': <weakref at 0x7f70f2e09590; to 'Tensor' at 0x7f7106d8f770>
2022-11-23T01:32:38.3613151Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3613201Z             }
2022-11-23T01:32:38.3613262Z             
2022-11-23T01:32:38.3613329Z  - 
2022-11-23T01:32:38.3613450Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3613514Z             {
2022-11-23T01:32:38.3613654Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3613759Z                 'code': None,
2022-11-23T01:32:38.3613957Z                 'obj_weakref': <weakref at 0x7f7106cfefb0; to 'Tensor' at 0x7f70f2e09c50>
2022-11-23T01:32:38.3614205Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3614267Z             }
2022-11-23T01:32:38.3614329Z             
2022-11-23T01:32:38.3614399Z  - 
2022-11-23T01:32:38.3614528Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3614590Z             {
2022-11-23T01:32:38.3614710Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3614877Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3614997Z                 'obj_weakref': None
2022-11-23T01:32:38.3615223Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3615287Z             }
2022-11-23T01:32:38.3615352Z             
2022-11-23T01:32:38.3615419Z  - 
2022-11-23T01:32:38.3615527Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3615589Z             {
2022-11-23T01:32:38.3615723Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3615942Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3616059Z                 'obj_weakref': None
2022-11-23T01:32:38.3616276Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3616338Z             }
2022-11-23T01:32:38.3616388Z             
2022-11-23T01:32:38.3616646Z [2022-11-23 01:31:14,369] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 482
2022-11-23T01:32:38.3617015Z [2022-11-23 01:31:17,008] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/x3/cx3marwskeor74qlbntpdduvg32fhejfcrovcwoyok5f3uuyf4v6.py
2022-11-23T01:32:38.3617281Z [2022-11-23 01:31:17,009] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 482
2022-11-23T01:32:38.3617287Z 
2022-11-23T01:32:38.3617383Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3617454Z import torch
2022-11-23T01:32:38.3617524Z import random
2022-11-23T01:32:38.3617643Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3617752Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3617771Z 
2022-11-23T01:32:38.3617835Z aten = torch.ops.aten
2022-11-23T01:32:38.3617971Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3618064Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3618069Z 
2022-11-23T01:32:38.3618074Z 
2022-11-23T01:32:38.3618210Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3618415Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3618535Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3618670Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3618770Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3618820Z {
2022-11-23T01:32:38.3618917Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3619008Z     {
2022-11-23T01:32:38.3619086Z         #pragma omp for 
2022-11-23T01:32:38.3619168Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3619235Z         {
2022-11-23T01:32:38.3619302Z             #pragma GCC ivdep
2022-11-23T01:32:38.3619389Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3619453Z             {
2022-11-23T01:32:38.3619519Z                 {
2022-11-23T01:32:38.3619672Z                     {
2022-11-23T01:32:38.3619776Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:38.3619880Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T01:32:38.3619962Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3620060Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:38.3620128Z                     }
2022-11-23T01:32:38.3620193Z                 }
2022-11-23T01:32:38.3620259Z             }
2022-11-23T01:32:38.3620323Z         }
2022-11-23T01:32:38.3620385Z     }
2022-11-23T01:32:38.3620434Z }
2022-11-23T01:32:38.3620517Z ''')
2022-11-23T01:32:38.3620522Z 
2022-11-23T01:32:38.3620526Z 
2022-11-23T01:32:38.3620617Z async_compile.wait(globals())
2022-11-23T01:32:38.3620690Z del async_compile
2022-11-23T01:32:38.3620695Z 
2022-11-23T01:32:38.3620766Z def call(args):
2022-11-23T01:32:38.3620843Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3620915Z     args.clear()
2022-11-23T01:32:38.3621101Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3621264Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3621334Z     del arg0_1
2022-11-23T01:32:38.3621403Z     del arg1_1
2022-11-23T01:32:38.3621476Z     return (buf0, )
2022-11-23T01:32:38.3621480Z 
2022-11-23T01:32:38.3621484Z 
2022-11-23T01:32:38.3621561Z if __name__ == "__main__":
2022-11-23T01:32:38.3621674Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3621800Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3621987Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3622184Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3622299Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3622304Z 
2022-11-23T01:32:38.3622375Z ok (2.689s)
2022-11-23T01:32:38.3622718Z   test_cpu_dense_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:17,025] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3622988Z [2022-11-23 01:31:17,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3623208Z [2022-11-23 01:31:17,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3623460Z [2022-11-23 01:31:17,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3623745Z [2022-11-23 01:31:17,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3624056Z [2022-11-23 01:31:17,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3624385Z [2022-11-23 01:31:17,026] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3624568Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3624661Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3624735Z               4 BINARY_ADD
2022-11-23T01:32:38.3624860Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3624936Z               8 RETURN_VALUE
2022-11-23T01:32:38.3624996Z  
2022-11-23T01:32:38.3625001Z 
2022-11-23T01:32:38.3625282Z [2022-11-23 01:31:17,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3625493Z [2022-11-23 01:31:17,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3625729Z [2022-11-23 01:31:17,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3626001Z [2022-11-23 01:31:17,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3626241Z [2022-11-23 01:31:17,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3626484Z [2022-11-23 01:31:17,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3626818Z [2022-11-23 01:31:17,030] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3627064Z [2022-11-23 01:31:17,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3627299Z [2022-11-23 01:31:17,030] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3627539Z [2022-11-23 01:31:17,033] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3627787Z [2022-11-23 01:31:17,041] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3627973Z [2022-11-23 01:31:17,041] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3628105Z  __compiled_fn_491 <eval_with_key>.3025 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3628195Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3628283Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3628459Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3628556Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3628561Z 
2022-11-23T01:32:38.3628827Z [2022-11-23 01:31:17,042] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3628919Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3629008Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3629099Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3629189Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3629263Z               8 RETURN_VALUE
2022-11-23T01:32:38.3629268Z 
2022-11-23T01:32:38.3629327Z  
2022-11-23T01:32:38.3629600Z [2022-11-23 01:31:17,042] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3629698Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_491)
2022-11-23T01:32:38.3629787Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3629876Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3629952Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3630041Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3630127Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3630200Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3630275Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3630376Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3630477Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3630564Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3630639Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3630725Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3630801Z              26 RETURN_VALUE
2022-11-23T01:32:38.3630835Z 
2022-11-23T01:32:38.3630883Z  
2022-11-23T01:32:38.3631063Z [2022-11-23 01:31:17,044] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3631133Z  - 
2022-11-23T01:32:38.3631249Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3631313Z             {
2022-11-23T01:32:38.3631480Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3631669Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3631776Z                 'obj_weakref': None
2022-11-23T01:32:38.3632000Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3632063Z             }
2022-11-23T01:32:38.3632124Z             
2022-11-23T01:32:38.3632191Z  - 
2022-11-23T01:32:38.3632313Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3632374Z             {
2022-11-23T01:32:38.3632503Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3632609Z                 'code': None,
2022-11-23T01:32:38.3632821Z                 'obj_weakref': <weakref at 0x7f70f2de6dd0; to 'Tensor' at 0x7f7106926770>
2022-11-23T01:32:38.3633066Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3633129Z             }
2022-11-23T01:32:38.3633196Z             
2022-11-23T01:32:38.3633265Z  - 
2022-11-23T01:32:38.3633374Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3633435Z             {
2022-11-23T01:32:38.3633575Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3633680Z                 'code': None,
2022-11-23T01:32:38.3633889Z                 'obj_weakref': <weakref at 0x7f70f162a710; to 'Tensor' at 0x7f70f161f770>
2022-11-23T01:32:38.3634133Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3634195Z             }
2022-11-23T01:32:38.3634257Z             
2022-11-23T01:32:38.3634312Z  - 
2022-11-23T01:32:38.3634442Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3634504Z             {
2022-11-23T01:32:38.3634637Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3634804Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3634922Z                 'obj_weakref': None
2022-11-23T01:32:38.3635150Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3635203Z             }
2022-11-23T01:32:38.3635263Z             
2022-11-23T01:32:38.3635331Z  - 
2022-11-23T01:32:38.3635452Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3635515Z             {
2022-11-23T01:32:38.3635649Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3635852Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3635968Z                 'obj_weakref': None
2022-11-23T01:32:38.3636183Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3636247Z             }
2022-11-23T01:32:38.3636308Z             
2022-11-23T01:32:38.3636564Z [2022-11-23 01:31:17,056] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 483
2022-11-23T01:32:38.3636927Z [2022-11-23 01:31:19,700] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/77/c77uiqrbhy4ix6tk7aioqm3jtok7sduuuq6idjr7dmcvixychfte.py
2022-11-23T01:32:38.3637318Z [2022-11-23 01:31:19,700] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 483
2022-11-23T01:32:38.3637326Z 
2022-11-23T01:32:38.3637421Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3637477Z import torch
2022-11-23T01:32:38.3637545Z import random
2022-11-23T01:32:38.3637660Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3637779Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3637785Z 
2022-11-23T01:32:38.3637862Z aten = torch.ops.aten
2022-11-23T01:32:38.3638046Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3638137Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3638142Z 
2022-11-23T01:32:38.3638146Z 
2022-11-23T01:32:38.3638268Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3638505Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3638627Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3638729Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3638829Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3638889Z {
2022-11-23T01:32:38.3638987Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3639051Z     {
2022-11-23T01:32:38.3639116Z         #pragma omp for 
2022-11-23T01:32:38.3639197Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3639260Z         {
2022-11-23T01:32:38.3639339Z             #pragma GCC ivdep
2022-11-23T01:32:38.3639425Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3639488Z             {
2022-11-23T01:32:38.3639539Z                 {
2022-11-23T01:32:38.3639604Z                     {
2022-11-23T01:32:38.3639708Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:38.3639811Z                         auto tmp1 = in_ptr1[i0 + (10*i1)];
2022-11-23T01:32:38.3639904Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3639999Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:38.3640064Z                     }
2022-11-23T01:32:38.3640115Z                 }
2022-11-23T01:32:38.3640178Z             }
2022-11-23T01:32:38.3640240Z         }
2022-11-23T01:32:38.3640301Z     }
2022-11-23T01:32:38.3640361Z }
2022-11-23T01:32:38.3640440Z ''')
2022-11-23T01:32:38.3640445Z 
2022-11-23T01:32:38.3640449Z 
2022-11-23T01:32:38.3640538Z async_compile.wait(globals())
2022-11-23T01:32:38.3640597Z del async_compile
2022-11-23T01:32:38.3640619Z 
2022-11-23T01:32:38.3640676Z def call(args):
2022-11-23T01:32:38.3640751Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3640821Z     args.clear()
2022-11-23T01:32:38.3641020Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3641187Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3641255Z     del arg0_1
2022-11-23T01:32:38.3641319Z     del arg1_1
2022-11-23T01:32:38.3641377Z     return (buf0, )
2022-11-23T01:32:38.3641382Z 
2022-11-23T01:32:38.3641387Z 
2022-11-23T01:32:38.3641460Z if __name__ == "__main__":
2022-11-23T01:32:38.3641571Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3641692Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3641890Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3642087Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3642203Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3642208Z 
2022-11-23T01:32:38.3642273Z ok (2.690s)
2022-11-23T01:32:38.3642606Z   test_cpu_double_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:19,711] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3642874Z [2022-11-23 01:31:19,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3643088Z [2022-11-23 01:31:19,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3643338Z [2022-11-23 01:31:19,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3643623Z [2022-11-23 01:31:19,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3643947Z [2022-11-23 01:31:19,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3644305Z [2022-11-23 01:31:19,712] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3644425Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3644516Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3644577Z               4 BINARY_ADD
2022-11-23T01:32:38.3644667Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3644742Z               8 RETURN_VALUE
2022-11-23T01:32:38.3644805Z  
2022-11-23T01:32:38.3644810Z 
2022-11-23T01:32:38.3645074Z [2022-11-23 01:31:19,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3645280Z [2022-11-23 01:31:19,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3645516Z [2022-11-23 01:31:19,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3645788Z [2022-11-23 01:31:19,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3646015Z [2022-11-23 01:31:19,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3646261Z [2022-11-23 01:31:19,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3646595Z [2022-11-23 01:31:19,716] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3646837Z [2022-11-23 01:31:19,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3647070Z [2022-11-23 01:31:19,716] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3647319Z [2022-11-23 01:31:19,717] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3647569Z [2022-11-23 01:31:19,723] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3647754Z [2022-11-23 01:31:19,723] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3647890Z  __compiled_fn_492 <eval_with_key>.3031 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3647967Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3648052Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3648230Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3648323Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3648328Z 
2022-11-23T01:32:38.3648601Z [2022-11-23 01:31:19,723] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3648693Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3648782Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3648877Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3648956Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3649030Z               8 RETURN_VALUE
2022-11-23T01:32:38.3649035Z 
2022-11-23T01:32:38.3649094Z  
2022-11-23T01:32:38.3649366Z [2022-11-23 01:31:19,724] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3649473Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_492)
2022-11-23T01:32:38.3649561Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3649650Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3649714Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3649801Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3649888Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3649962Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3650049Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3650184Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3650285Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3650372Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3650434Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3650562Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3650639Z              26 RETURN_VALUE
2022-11-23T01:32:38.3650645Z 
2022-11-23T01:32:38.3650704Z  
2022-11-23T01:32:38.3650886Z [2022-11-23 01:31:19,725] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3650954Z  - 
2022-11-23T01:32:38.3651072Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3651122Z             {
2022-11-23T01:32:38.3651260Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3651445Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3651565Z                 'obj_weakref': None
2022-11-23T01:32:38.3651786Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3651850Z             }
2022-11-23T01:32:38.3651913Z             
2022-11-23T01:32:38.3651968Z  - 
2022-11-23T01:32:38.3652090Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3652152Z             {
2022-11-23T01:32:38.3652296Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3652403Z                 'code': None,
2022-11-23T01:32:38.3652609Z                 'obj_weakref': <weakref at 0x7f7104e63c50; to 'Tensor' at 0x7f70f1096890>
2022-11-23T01:32:38.3652857Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3652907Z             }
2022-11-23T01:32:38.3652969Z             
2022-11-23T01:32:38.3653038Z  - 
2022-11-23T01:32:38.3653160Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3653223Z             {
2022-11-23T01:32:38.3653364Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3653471Z                 'code': None,
2022-11-23T01:32:38.3653665Z                 'obj_weakref': <weakref at 0x7f70f162aef0; to 'Tensor' at 0x7f71070c0530>
2022-11-23T01:32:38.3653912Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3653976Z             }
2022-11-23T01:32:38.3654039Z             
2022-11-23T01:32:38.3654108Z  - 
2022-11-23T01:32:38.3654236Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3654299Z             {
2022-11-23T01:32:38.3654418Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3654586Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3654707Z                 'obj_weakref': None
2022-11-23T01:32:38.3654934Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3654998Z             }
2022-11-23T01:32:38.3655062Z             
2022-11-23T01:32:38.3655133Z  - 
2022-11-23T01:32:38.3655241Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3655304Z             {
2022-11-23T01:32:38.3655440Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3655657Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3655777Z                 'obj_weakref': None
2022-11-23T01:32:38.3655997Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3656062Z             }
2022-11-23T01:32:38.3656111Z             
2022-11-23T01:32:38.3656372Z [2022-11-23 01:31:19,733] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 484
2022-11-23T01:32:38.3656743Z [2022-11-23 01:31:22,363] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ui/cuiq43qsbk6i2hpndsexdgoktlvhszyvtvcrs4ciylmsrql7k42z.py
2022-11-23T01:32:38.3657011Z [2022-11-23 01:31:22,363] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 484
2022-11-23T01:32:38.3657043Z 
2022-11-23T01:32:38.3657139Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3657209Z import torch
2022-11-23T01:32:38.3657279Z import random
2022-11-23T01:32:38.3657396Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3657536Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3657541Z 
2022-11-23T01:32:38.3657620Z aten = torch.ops.aten
2022-11-23T01:32:38.3657757Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3657849Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3657854Z 
2022-11-23T01:32:38.3657859Z 
2022-11-23T01:32:38.3657993Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3658200Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3658322Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:32:38.3658427Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3658516Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:38.3658579Z {
2022-11-23T01:32:38.3658676Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3658739Z     {
2022-11-23T01:32:38.3658816Z         #pragma omp for 
2022-11-23T01:32:38.3658903Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3658967Z         {
2022-11-23T01:32:38.3659034Z             #pragma GCC ivdep
2022-11-23T01:32:38.3659120Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3659184Z             {
2022-11-23T01:32:38.3659250Z                 {
2022-11-23T01:32:38.3659318Z                     {
2022-11-23T01:32:38.3659423Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:38.3659504Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:38.3659617Z                         auto tmp2 = static_cast<double>(tmp1);
2022-11-23T01:32:38.3659710Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:38.3659810Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:38.3659878Z                     }
2022-11-23T01:32:38.3659943Z                 }
2022-11-23T01:32:38.3660007Z             }
2022-11-23T01:32:38.3660058Z         }
2022-11-23T01:32:38.3660121Z     }
2022-11-23T01:32:38.3660181Z }
2022-11-23T01:32:38.3660260Z ''')
2022-11-23T01:32:38.3660265Z 
2022-11-23T01:32:38.3660269Z 
2022-11-23T01:32:38.3660361Z async_compile.wait(globals())
2022-11-23T01:32:38.3660434Z del async_compile
2022-11-23T01:32:38.3660439Z 
2022-11-23T01:32:38.3660511Z def call(args):
2022-11-23T01:32:38.3660586Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3660644Z     args.clear()
2022-11-23T01:32:38.3660845Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3661007Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3661076Z     del arg0_1
2022-11-23T01:32:38.3661142Z     del arg1_1
2022-11-23T01:32:38.3661217Z     return (buf0, )
2022-11-23T01:32:38.3661222Z 
2022-11-23T01:32:38.3661226Z 
2022-11-23T01:32:38.3661304Z if __name__ == "__main__":
2022-11-23T01:32:38.3661404Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3661527Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3661728Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3661922Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3662032Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3662037Z 
2022-11-23T01:32:38.3662105Z ok (2.663s)
2022-11-23T01:32:38.3662447Z   test_cpu_double_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:22,377] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3662714Z [2022-11-23 01:31:22,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3662959Z [2022-11-23 01:31:22,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3663200Z [2022-11-23 01:31:22,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3663509Z [2022-11-23 01:31:22,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3663836Z [2022-11-23 01:31:22,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3664165Z [2022-11-23 01:31:22,378] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3664256Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3664347Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3664420Z               4 BINARY_ADD
2022-11-23T01:32:38.3664603Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3664669Z               8 RETURN_VALUE
2022-11-23T01:32:38.3664729Z  
2022-11-23T01:32:38.3664735Z 
2022-11-23T01:32:38.3665007Z [2022-11-23 01:31:22,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3665219Z [2022-11-23 01:31:22,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3665458Z [2022-11-23 01:31:22,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3665731Z [2022-11-23 01:31:22,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3665970Z [2022-11-23 01:31:22,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3666219Z [2022-11-23 01:31:22,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3666556Z [2022-11-23 01:31:22,384] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3666785Z [2022-11-23 01:31:22,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3667019Z [2022-11-23 01:31:22,384] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3667268Z [2022-11-23 01:31:22,387] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3667513Z [2022-11-23 01:31:22,393] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3667700Z [2022-11-23 01:31:22,394] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3667833Z  __compiled_fn_493 <eval_with_key>.3037 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3667925Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3668014Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3668178Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3668272Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3668277Z 
2022-11-23T01:32:38.3668554Z [2022-11-23 01:31:22,395] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3668647Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3668739Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3668830Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3668921Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3668995Z               8 RETURN_VALUE
2022-11-23T01:32:38.3669000Z 
2022-11-23T01:32:38.3669047Z  
2022-11-23T01:32:38.3669316Z [2022-11-23 01:31:22,395] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3669424Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_493)
2022-11-23T01:32:38.3669578Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3669666Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3669746Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3669834Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3669947Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3670010Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3670098Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3670204Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3670305Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3670393Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3670468Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3670554Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3670615Z              26 RETURN_VALUE
2022-11-23T01:32:38.3670620Z 
2022-11-23T01:32:38.3670681Z  
2022-11-23T01:32:38.3670862Z [2022-11-23 01:31:22,397] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3670931Z  - 
2022-11-23T01:32:38.3671049Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3671115Z             {
2022-11-23T01:32:38.3671257Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3671430Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3671552Z                 'obj_weakref': None
2022-11-23T01:32:38.3671775Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3671839Z             }
2022-11-23T01:32:38.3671903Z             
2022-11-23T01:32:38.3671970Z  - 
2022-11-23T01:32:38.3672092Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3672142Z             {
2022-11-23T01:32:38.3672282Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3672389Z                 'code': None,
2022-11-23T01:32:38.3672595Z                 'obj_weakref': <weakref at 0x7f71070c0050; to 'Tensor' at 0x7f7106a0c650>
2022-11-23T01:32:38.3672844Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3672905Z             }
2022-11-23T01:32:38.3672968Z             
2022-11-23T01:32:38.3673024Z  - 
2022-11-23T01:32:38.3673146Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3673209Z             {
2022-11-23T01:32:38.3673350Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3673457Z                 'code': None,
2022-11-23T01:32:38.3673661Z                 'obj_weakref': <weakref at 0x7f70f162abf0; to 'Tensor' at 0x7f7106a0c9b0>
2022-11-23T01:32:38.3673906Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3673956Z             }
2022-11-23T01:32:38.3674017Z             
2022-11-23T01:32:38.3674085Z  - 
2022-11-23T01:32:38.3674213Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3674278Z             {
2022-11-23T01:32:38.3674411Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3674578Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3674684Z                 'obj_weakref': None
2022-11-23T01:32:38.3674915Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3674980Z             }
2022-11-23T01:32:38.3675042Z             
2022-11-23T01:32:38.3675109Z  - 
2022-11-23T01:32:38.3675227Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3675289Z             {
2022-11-23T01:32:38.3675410Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3675624Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3675740Z                 'obj_weakref': None
2022-11-23T01:32:38.3675957Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3676057Z             }
2022-11-23T01:32:38.3676121Z             
2022-11-23T01:32:38.3676383Z [2022-11-23 01:31:22,408] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 485
2022-11-23T01:32:38.3676762Z [2022-11-23 01:31:24,989] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2q/c2qbakesqkta3f3bnbvht5mj7rzegvoif7jiq5tjwimnvdx4nkog.py
2022-11-23T01:32:38.3677026Z [2022-11-23 01:31:24,990] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 485
2022-11-23T01:32:38.3677032Z 
2022-11-23T01:32:38.3677253Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3677322Z import torch
2022-11-23T01:32:38.3677393Z import random
2022-11-23T01:32:38.3677507Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3677627Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3677632Z 
2022-11-23T01:32:38.3677709Z aten = torch.ops.aten
2022-11-23T01:32:38.3677832Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3677924Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3677929Z 
2022-11-23T01:32:38.3677934Z 
2022-11-23T01:32:38.3678068Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3678276Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3678397Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:32:38.3678501Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3678603Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:38.3678663Z {
2022-11-23T01:32:38.3678747Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3678809Z     {
2022-11-23T01:32:38.3678885Z         #pragma omp for 
2022-11-23T01:32:38.3678966Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3679028Z         {
2022-11-23T01:32:38.3679108Z             #pragma GCC ivdep
2022-11-23T01:32:38.3679196Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3679246Z             {
2022-11-23T01:32:38.3679309Z                 {
2022-11-23T01:32:38.3679374Z                     {
2022-11-23T01:32:38.3679478Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:38.3679575Z                         auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.3679685Z                         auto tmp2 = static_cast<double>(tmp1);
2022-11-23T01:32:38.3679775Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:38.3679858Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:38.3679923Z                     }
2022-11-23T01:32:38.3679987Z                 }
2022-11-23T01:32:38.3680049Z             }
2022-11-23T01:32:38.3680114Z         }
2022-11-23T01:32:38.3680175Z     }
2022-11-23T01:32:38.3680221Z }
2022-11-23T01:32:38.3680296Z ''')
2022-11-23T01:32:38.3680301Z 
2022-11-23T01:32:38.3680305Z 
2022-11-23T01:32:38.3680392Z async_compile.wait(globals())
2022-11-23T01:32:38.3680465Z del async_compile
2022-11-23T01:32:38.3680470Z 
2022-11-23T01:32:38.3680539Z def call(args):
2022-11-23T01:32:38.3680611Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3680680Z     args.clear()
2022-11-23T01:32:38.3680887Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3681039Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3681105Z     del arg0_1
2022-11-23T01:32:38.3681171Z     del arg1_1
2022-11-23T01:32:38.3681240Z     return (buf0, )
2022-11-23T01:32:38.3681245Z 
2022-11-23T01:32:38.3681248Z 
2022-11-23T01:32:38.3681323Z if __name__ == "__main__":
2022-11-23T01:32:38.3681435Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3681556Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3681754Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3681948Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3682113Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3682118Z 
2022-11-23T01:32:38.3682183Z ok (2.627s)
2022-11-23T01:32:38.3682560Z   test_cpu_double_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:25,004] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3682828Z [2022-11-23 01:31:25,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3683045Z [2022-11-23 01:31:25,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3683298Z [2022-11-23 01:31:25,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3683583Z [2022-11-23 01:31:25,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3683907Z [2022-11-23 01:31:25,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3684228Z [2022-11-23 01:31:25,005] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3684321Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3684411Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3684483Z               4 BINARY_ADD
2022-11-23T01:32:38.3684574Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3684650Z               8 RETURN_VALUE
2022-11-23T01:32:38.3684711Z  
2022-11-23T01:32:38.3684716Z 
2022-11-23T01:32:38.3684981Z [2022-11-23 01:31:25,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3685178Z [2022-11-23 01:31:25,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3685415Z [2022-11-23 01:31:25,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3685687Z [2022-11-23 01:31:25,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3685931Z [2022-11-23 01:31:25,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3686173Z [2022-11-23 01:31:25,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3686502Z [2022-11-23 01:31:25,010] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3686746Z [2022-11-23 01:31:25,010] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3686980Z [2022-11-23 01:31:25,010] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3687234Z [2022-11-23 01:31:25,012] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3687466Z [2022-11-23 01:31:25,019] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3687657Z [2022-11-23 01:31:25,019] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3687789Z  __compiled_fn_494 <eval_with_key>.3043 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3687877Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3687965Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3688143Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3688235Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3688241Z 
2022-11-23T01:32:38.3688519Z [2022-11-23 01:31:25,020] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3688599Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3688717Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3688807Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3688897Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3688972Z               8 RETURN_VALUE
2022-11-23T01:32:38.3688977Z 
2022-11-23T01:32:38.3689062Z  
2022-11-23T01:32:38.3689334Z [2022-11-23 01:31:25,020] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3689441Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_494)
2022-11-23T01:32:38.3689518Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3689606Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3689682Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3689768Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3689853Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3689928Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3690018Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3690108Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3690208Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3690295Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3690373Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3690459Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3690533Z              26 RETURN_VALUE
2022-11-23T01:32:38.3690538Z 
2022-11-23T01:32:38.3690598Z  
2022-11-23T01:32:38.3690765Z [2022-11-23 01:31:25,022] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3690832Z  - 
2022-11-23T01:32:38.3690948Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3691013Z             {
2022-11-23T01:32:38.3691152Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3691337Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3691457Z                 'obj_weakref': None
2022-11-23T01:32:38.3691666Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3691729Z             }
2022-11-23T01:32:38.3691791Z             
2022-11-23T01:32:38.3691859Z  - 
2022-11-23T01:32:38.3691983Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3692046Z             {
2022-11-23T01:32:38.3692188Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3692283Z                 'code': None,
2022-11-23T01:32:38.3692488Z                 'obj_weakref': <weakref at 0x7f710714a590; to 'Tensor' at 0x7f70f293e350>
2022-11-23T01:32:38.3692736Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3692798Z             }
2022-11-23T01:32:38.3692860Z             
2022-11-23T01:32:38.3692925Z  - 
2022-11-23T01:32:38.3693048Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3693098Z             {
2022-11-23T01:32:38.3693242Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3693350Z                 'code': None,
2022-11-23T01:32:38.3693556Z                 'obj_weakref': <weakref at 0x7f70f10bc0b0; to 'Tensor' at 0x7f712a50d1d0>
2022-11-23T01:32:38.3693807Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3693873Z             }
2022-11-23T01:32:38.3693937Z             
2022-11-23T01:32:38.3693992Z  - 
2022-11-23T01:32:38.3694122Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3694185Z             {
2022-11-23T01:32:38.3694322Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3694491Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3694611Z                 'obj_weakref': None
2022-11-23T01:32:38.3694841Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3694919Z             }
2022-11-23T01:32:38.3694983Z             
2022-11-23T01:32:38.3695053Z  - 
2022-11-23T01:32:38.3695175Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3695239Z             {
2022-11-23T01:32:38.3695376Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3695638Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3695744Z                 'obj_weakref': None
2022-11-23T01:32:38.3695964Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3696028Z             }
2022-11-23T01:32:38.3696091Z             
2022-11-23T01:32:38.3696348Z [2022-11-23 01:31:25,033] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 486
2022-11-23T01:32:38.3696711Z [2022-11-23 01:31:27,608] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rx/crxuyp72t4wwpt35zrrc64ck22x4dm5omzfsxxv4tldrdpzrcyku.py
2022-11-23T01:32:38.3696977Z [2022-11-23 01:31:27,608] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 486
2022-11-23T01:32:38.3696983Z 
2022-11-23T01:32:38.3697078Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3697133Z import torch
2022-11-23T01:32:38.3697205Z import random
2022-11-23T01:32:38.3697323Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3697448Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3697453Z 
2022-11-23T01:32:38.3697531Z aten = torch.ops.aten
2022-11-23T01:32:38.3697668Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3697761Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3697766Z 
2022-11-23T01:32:38.3697770Z 
2022-11-23T01:32:38.3697904Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3698096Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3698217Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:32:38.3698325Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3698426Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:38.3698488Z {
2022-11-23T01:32:38.3698585Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3698650Z     {
2022-11-23T01:32:38.3698716Z         #pragma omp for 
2022-11-23T01:32:38.3698801Z         for(long i0=0; i0<100; i0+=1)
2022-11-23T01:32:38.3698865Z         {
2022-11-23T01:32:38.3698928Z             {
2022-11-23T01:32:38.3698993Z                 {
2022-11-23T01:32:38.3699086Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.3699178Z                     auto tmp1 = in_ptr1[0];
2022-11-23T01:32:38.3699274Z                     auto tmp2 = static_cast<double>(tmp1);
2022-11-23T01:32:38.3699365Z                     auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:38.3699449Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:38.3699513Z                 }
2022-11-23T01:32:38.3699578Z             }
2022-11-23T01:32:38.3699640Z         }
2022-11-23T01:32:38.3699700Z     }
2022-11-23T01:32:38.3699747Z }
2022-11-23T01:32:38.3699822Z ''')
2022-11-23T01:32:38.3699826Z 
2022-11-23T01:32:38.3699831Z 
2022-11-23T01:32:38.3699921Z async_compile.wait(globals())
2022-11-23T01:32:38.3699993Z del async_compile
2022-11-23T01:32:38.3700000Z 
2022-11-23T01:32:38.3700069Z def call(args):
2022-11-23T01:32:38.3700143Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3700213Z     args.clear()
2022-11-23T01:32:38.3700399Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3700560Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3700626Z     del arg0_1
2022-11-23T01:32:38.3700692Z     del arg1_1
2022-11-23T01:32:38.3700763Z     return (buf0, )
2022-11-23T01:32:38.3700767Z 
2022-11-23T01:32:38.3700771Z 
2022-11-23T01:32:38.3700845Z if __name__ == "__main__":
2022-11-23T01:32:38.3700956Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3701104Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3701290Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3701508Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3701623Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3701628Z 
2022-11-23T01:32:38.3701694Z ok (2.618s)
2022-11-23T01:32:38.3702032Z   test_cpu_double_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:27,622] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3702299Z [2022-11-23 01:31:27,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3702515Z [2022-11-23 01:31:27,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3702768Z [2022-11-23 01:31:27,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3703054Z [2022-11-23 01:31:27,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3703368Z [2022-11-23 01:31:27,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3703697Z [2022-11-23 01:31:27,623] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3703786Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3703876Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3703950Z               4 BINARY_ADD
2022-11-23T01:32:38.3704037Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3704112Z               8 RETURN_VALUE
2022-11-23T01:32:38.3704172Z  
2022-11-23T01:32:38.3704177Z 
2022-11-23T01:32:38.3704518Z [2022-11-23 01:31:27,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3704736Z [2022-11-23 01:31:27,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3704976Z [2022-11-23 01:31:27,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3705246Z [2022-11-23 01:31:27,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3705486Z [2022-11-23 01:31:27,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3705733Z [2022-11-23 01:31:27,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3706067Z [2022-11-23 01:31:27,627] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3706312Z [2022-11-23 01:31:27,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3706545Z [2022-11-23 01:31:27,627] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3706785Z [2022-11-23 01:31:27,633] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3707033Z [2022-11-23 01:31:27,639] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3707218Z [2022-11-23 01:31:27,640] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3707352Z  __compiled_fn_495 <eval_with_key>.3049 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3707442Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3707528Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3707705Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3707799Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3707839Z 
2022-11-23T01:32:38.3708101Z [2022-11-23 01:31:27,641] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3708192Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3708309Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3708401Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3708492Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3708566Z               8 RETURN_VALUE
2022-11-23T01:32:38.3708571Z 
2022-11-23T01:32:38.3708632Z  
2022-11-23T01:32:38.3708902Z [2022-11-23 01:31:27,641] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3708997Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_495)
2022-11-23T01:32:38.3709085Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3709172Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3709250Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3709339Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3709423Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3709498Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3709574Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3709678Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3709779Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3709867Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3709940Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3710028Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3710102Z              26 RETURN_VALUE
2022-11-23T01:32:38.3710106Z 
2022-11-23T01:32:38.3710153Z  
2022-11-23T01:32:38.3710333Z [2022-11-23 01:31:27,643] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3710401Z  - 
2022-11-23T01:32:38.3710517Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3710583Z             {
2022-11-23T01:32:38.3710721Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3710906Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3711012Z                 'obj_weakref': None
2022-11-23T01:32:38.3711234Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3711298Z             }
2022-11-23T01:32:38.3711362Z             
2022-11-23T01:32:38.3711430Z  - 
2022-11-23T01:32:38.3711551Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3711613Z             {
2022-11-23T01:32:38.3711741Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3711846Z                 'code': None,
2022-11-23T01:32:38.3712058Z                 'obj_weakref': <weakref at 0x7f7106cfee30; to 'Tensor' at 0x7f70f10a4dd0>
2022-11-23T01:32:38.3712308Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3712373Z             }
2022-11-23T01:32:38.3712435Z             
2022-11-23T01:32:38.3712502Z  - 
2022-11-23T01:32:38.3712611Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3712672Z             {
2022-11-23T01:32:38.3712815Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3712920Z                 'code': None,
2022-11-23T01:32:38.3713127Z                 'obj_weakref': <weakref at 0x7f7106e61b30; to 'Tensor' at 0x7f7106cfe9b0>
2022-11-23T01:32:38.3713373Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3713436Z             }
2022-11-23T01:32:38.3713497Z             
2022-11-23T01:32:38.3713552Z  - 
2022-11-23T01:32:38.3713683Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3713745Z             {
2022-11-23T01:32:38.3713878Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3714046Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3714192Z                 'obj_weakref': None
2022-11-23T01:32:38.3714417Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3714467Z             }
2022-11-23T01:32:38.3714529Z             
2022-11-23T01:32:38.3714622Z  - 
2022-11-23T01:32:38.3714743Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3714805Z             {
2022-11-23T01:32:38.3714939Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3715141Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3715256Z                 'obj_weakref': None
2022-11-23T01:32:38.3715474Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3715536Z             }
2022-11-23T01:32:38.3715600Z             
2022-11-23T01:32:38.3715859Z [2022-11-23 01:31:27,654] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 487
2022-11-23T01:32:38.3716228Z [2022-11-23 01:31:30,291] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tn/ctnt4i5zdleokiiwt62b7rfbpiutsl5zxitri4aunmbwe7dsxkgf.py
2022-11-23T01:32:38.3716493Z [2022-11-23 01:31:30,291] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 487
2022-11-23T01:32:38.3716499Z 
2022-11-23T01:32:38.3716591Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3716647Z import torch
2022-11-23T01:32:38.3716714Z import random
2022-11-23T01:32:38.3716827Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3716948Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3716953Z 
2022-11-23T01:32:38.3717030Z aten = torch.ops.aten
2022-11-23T01:32:38.3717288Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3717380Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3717385Z 
2022-11-23T01:32:38.3717392Z 
2022-11-23T01:32:38.3717514Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3717722Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3717842Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:32:38.3717948Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3718049Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:38.3718110Z {
2022-11-23T01:32:38.3718208Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3718270Z     {
2022-11-23T01:32:38.3718334Z         #pragma omp for 
2022-11-23T01:32:38.3718417Z         for(long i0=0; i0<100; i0+=1)
2022-11-23T01:32:38.3718479Z         {
2022-11-23T01:32:38.3718542Z             {
2022-11-23T01:32:38.3718607Z                 {
2022-11-23T01:32:38.3718700Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.3718778Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.3718886Z                     auto tmp2 = static_cast<double>(tmp1);
2022-11-23T01:32:38.3718978Z                     auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:38.3719064Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:38.3719131Z                 }
2022-11-23T01:32:38.3719192Z             }
2022-11-23T01:32:38.3719254Z         }
2022-11-23T01:32:38.3719304Z     }
2022-11-23T01:32:38.3719363Z }
2022-11-23T01:32:38.3719439Z ''')
2022-11-23T01:32:38.3719444Z 
2022-11-23T01:32:38.3719448Z 
2022-11-23T01:32:38.3719536Z async_compile.wait(globals())
2022-11-23T01:32:38.3719607Z del async_compile
2022-11-23T01:32:38.3719611Z 
2022-11-23T01:32:38.3719681Z def call(args):
2022-11-23T01:32:38.3719754Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3719813Z     args.clear()
2022-11-23T01:32:38.3720013Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3720174Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3720291Z     del arg0_1
2022-11-23T01:32:38.3720356Z     del arg1_1
2022-11-23T01:32:38.3720427Z     return (buf0, )
2022-11-23T01:32:38.3720432Z 
2022-11-23T01:32:38.3720436Z 
2022-11-23T01:32:38.3720513Z if __name__ == "__main__":
2022-11-23T01:32:38.3720625Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3720775Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3720976Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3721171Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3721284Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3721289Z 
2022-11-23T01:32:38.3721354Z ok (2.683s)
2022-11-23T01:32:38.3721693Z   test_cpu_double_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:30,305] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3721961Z [2022-11-23 01:31:30,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3722181Z [2022-11-23 01:31:30,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3722435Z [2022-11-23 01:31:30,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3722708Z [2022-11-23 01:31:30,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3723030Z [2022-11-23 01:31:30,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3723359Z [2022-11-23 01:31:30,305] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3723450Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3723541Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3723617Z               4 BINARY_ADD
2022-11-23T01:32:38.3723706Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3723782Z               8 RETURN_VALUE
2022-11-23T01:32:38.3723829Z  
2022-11-23T01:32:38.3723834Z 
2022-11-23T01:32:38.3724100Z [2022-11-23 01:31:30,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3724307Z [2022-11-23 01:31:30,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3724543Z [2022-11-23 01:31:30,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3724815Z [2022-11-23 01:31:30,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3725053Z [2022-11-23 01:31:30,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3725297Z [2022-11-23 01:31:30,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3725632Z [2022-11-23 01:31:30,310] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3725877Z [2022-11-23 01:31:30,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3726097Z [2022-11-23 01:31:30,310] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3726348Z [2022-11-23 01:31:30,312] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3726593Z [2022-11-23 01:31:30,318] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3726781Z [2022-11-23 01:31:30,319] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3726913Z  __compiled_fn_496 <eval_with_key>.3055 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3727033Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3727119Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3727296Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3727378Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3727383Z 
2022-11-23T01:32:38.3727685Z [2022-11-23 01:31:30,319] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3727777Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3727871Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3727965Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3728055Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3728131Z               8 RETURN_VALUE
2022-11-23T01:32:38.3728136Z 
2022-11-23T01:32:38.3728197Z  
2022-11-23T01:32:38.3728460Z [2022-11-23 01:31:30,320] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3728569Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_496)
2022-11-23T01:32:38.3728657Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3728746Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3728823Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3728912Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3728999Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3729061Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3729148Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3729250Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3729350Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3729437Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3729512Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3729599Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3729661Z              26 RETURN_VALUE
2022-11-23T01:32:38.3729680Z 
2022-11-23T01:32:38.3729726Z  
2022-11-23T01:32:38.3729906Z [2022-11-23 01:31:30,321] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3729974Z  - 
2022-11-23T01:32:38.3730094Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3730156Z             {
2022-11-23T01:32:38.3730297Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3730480Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3730586Z                 'obj_weakref': None
2022-11-23T01:32:38.3730806Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3730870Z             }
2022-11-23T01:32:38.3730935Z             
2022-11-23T01:32:38.3731001Z  - 
2022-11-23T01:32:38.3731123Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3731185Z             {
2022-11-23T01:32:38.3731312Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3731423Z                 'code': None,
2022-11-23T01:32:38.3731632Z                 'obj_weakref': <weakref at 0x7f7129ec8a10; to 'Tensor' at 0x7f719322a9b0>
2022-11-23T01:32:38.3731880Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3731946Z             }
2022-11-23T01:32:38.3732012Z             
2022-11-23T01:32:38.3732080Z  - 
2022-11-23T01:32:38.3732190Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3732254Z             {
2022-11-23T01:32:38.3732398Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3732506Z                 'code': None,
2022-11-23T01:32:38.3732711Z                 'obj_weakref': <weakref at 0x7f710715bc50; to 'Tensor' at 0x7f7107130830>
2022-11-23T01:32:38.3732959Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3733025Z             }
2022-11-23T01:32:38.3733075Z             
2022-11-23T01:32:38.3733178Z  - 
2022-11-23T01:32:38.3733310Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3733374Z             {
2022-11-23T01:32:38.3733509Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3733678Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3733826Z                 'obj_weakref': None
2022-11-23T01:32:38.3734042Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3734106Z             }
2022-11-23T01:32:38.3734170Z             
2022-11-23T01:32:38.3734239Z  - 
2022-11-23T01:32:38.3734361Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3734424Z             {
2022-11-23T01:32:38.3734560Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3734764Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3734884Z                 'obj_weakref': None
2022-11-23T01:32:38.3735105Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3735170Z             }
2022-11-23T01:32:38.3735235Z             
2022-11-23T01:32:38.3735494Z [2022-11-23 01:31:30,332] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 488
2022-11-23T01:32:38.3735858Z [2022-11-23 01:31:32,903] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/26/c26rbjlkdx54ub7g72whpo67ddetcco2kcjl3vb77qiavgqacgqr.py
2022-11-23T01:32:38.3736107Z [2022-11-23 01:31:32,904] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 488
2022-11-23T01:32:38.3736126Z 
2022-11-23T01:32:38.3736206Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3736276Z import torch
2022-11-23T01:32:38.3736347Z import random
2022-11-23T01:32:38.3736462Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3736589Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3736596Z 
2022-11-23T01:32:38.3736677Z aten = torch.ops.aten
2022-11-23T01:32:38.3736813Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3736894Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3736898Z 
2022-11-23T01:32:38.3736917Z 
2022-11-23T01:32:38.3737039Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3737246Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3737372Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:32:38.3737479Z                        const double* __restrict__ in_ptr1,
2022-11-23T01:32:38.3737580Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:38.3737644Z {
2022-11-23T01:32:38.3737741Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3737789Z     {
2022-11-23T01:32:38.3737868Z         #pragma omp for 
2022-11-23T01:32:38.3737954Z         for(long i0=0; i0<100; i0+=1)
2022-11-23T01:32:38.3738018Z         {
2022-11-23T01:32:38.3738083Z             {
2022-11-23T01:32:38.3738147Z                 {
2022-11-23T01:32:38.3738240Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.3738318Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.3738406Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3738491Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.3738554Z                 }
2022-11-23T01:32:38.3738617Z             }
2022-11-23T01:32:38.3738678Z         }
2022-11-23T01:32:38.3738728Z     }
2022-11-23T01:32:38.3738786Z }
2022-11-23T01:32:38.3738863Z ''')
2022-11-23T01:32:38.3738868Z 
2022-11-23T01:32:38.3738872Z 
2022-11-23T01:32:38.3738961Z async_compile.wait(globals())
2022-11-23T01:32:38.3739031Z del async_compile
2022-11-23T01:32:38.3739036Z 
2022-11-23T01:32:38.3739104Z def call(args):
2022-11-23T01:32:38.3739178Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3739247Z     args.clear()
2022-11-23T01:32:38.3739434Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3739625Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3739692Z     del arg0_1
2022-11-23T01:32:38.3739759Z     del arg1_1
2022-11-23T01:32:38.3739830Z     return (buf0, )
2022-11-23T01:32:38.3739835Z 
2022-11-23T01:32:38.3739878Z 
2022-11-23T01:32:38.3739953Z if __name__ == "__main__":
2022-11-23T01:32:38.3740066Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3740176Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3740374Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3740570Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3740683Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3740688Z 
2022-11-23T01:32:38.3740753Z ok (2.613s)
2022-11-23T01:32:38.3741083Z   test_cpu_double_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:32,920] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3741351Z [2022-11-23 01:31:32,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3741570Z [2022-11-23 01:31:32,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3741821Z [2022-11-23 01:31:32,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3742093Z [2022-11-23 01:31:32,920] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3742415Z [2022-11-23 01:31:32,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3742747Z [2022-11-23 01:31:32,921] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3742842Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3742932Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3743007Z               4 BINARY_ADD
2022-11-23T01:32:38.3743095Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3743174Z               8 RETURN_VALUE
2022-11-23T01:32:38.3743223Z  
2022-11-23T01:32:38.3743228Z 
2022-11-23T01:32:38.3743489Z [2022-11-23 01:31:32,921] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3743695Z [2022-11-23 01:31:32,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3743931Z [2022-11-23 01:31:32,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3744201Z [2022-11-23 01:31:32,922] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3744520Z [2022-11-23 01:31:32,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3744773Z [2022-11-23 01:31:32,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3745108Z [2022-11-23 01:31:32,927] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3745351Z [2022-11-23 01:31:32,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3745572Z [2022-11-23 01:31:32,927] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3745825Z [2022-11-23 01:31:32,930] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3746072Z [2022-11-23 01:31:32,938] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3746258Z [2022-11-23 01:31:32,939] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3746426Z  __compiled_fn_497 <eval_with_key>.3061 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3746516Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3746603Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3746809Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3746892Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3746909Z 
2022-11-23T01:32:38.3747170Z [2022-11-23 01:31:32,940] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3747262Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3747352Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3747442Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3747531Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3747607Z               8 RETURN_VALUE
2022-11-23T01:32:38.3747614Z 
2022-11-23T01:32:38.3747674Z  
2022-11-23T01:32:38.3747935Z [2022-11-23 01:31:32,940] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3748043Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_497)
2022-11-23T01:32:38.3748133Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3748222Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3748299Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3748385Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3748471Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3748544Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3748619Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3748721Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3748819Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3748909Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3748987Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3749075Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3749149Z              26 RETURN_VALUE
2022-11-23T01:32:38.3749154Z 
2022-11-23T01:32:38.3749200Z  
2022-11-23T01:32:38.3749381Z [2022-11-23 01:31:32,942] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3749449Z  - 
2022-11-23T01:32:38.3749568Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3749631Z             {
2022-11-23T01:32:38.3749767Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3749951Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3750057Z                 'obj_weakref': None
2022-11-23T01:32:38.3750277Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3750342Z             }
2022-11-23T01:32:38.3750404Z             
2022-11-23T01:32:38.3750472Z  - 
2022-11-23T01:32:38.3750598Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3750659Z             {
2022-11-23T01:32:38.3750787Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3750891Z                 'code': None,
2022-11-23T01:32:38.3751100Z                 'obj_weakref': <weakref at 0x7f71060e70b0; to 'Tensor' at 0x7f70f293edd0>
2022-11-23T01:32:38.3751347Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3751410Z             }
2022-11-23T01:32:38.3751471Z             
2022-11-23T01:32:38.3751538Z  - 
2022-11-23T01:32:38.3751647Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3751709Z             {
2022-11-23T01:32:38.3751849Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3751956Z                 'code': None,
2022-11-23T01:32:38.3752159Z                 'obj_weakref': <weakref at 0x7f7106e10950; to 'Tensor' at 0x7f7106d8fa70>
2022-11-23T01:32:38.3752405Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3752499Z             }
2022-11-23T01:32:38.3752548Z             
2022-11-23T01:32:38.3752616Z  - 
2022-11-23T01:32:38.3752746Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3752809Z             {
2022-11-23T01:32:38.3752966Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3753135Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3753252Z                 'obj_weakref': None
2022-11-23T01:32:38.3753465Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3753526Z             }
2022-11-23T01:32:38.3753588Z             
2022-11-23T01:32:38.3753655Z  - 
2022-11-23T01:32:38.3753776Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3753839Z             {
2022-11-23T01:32:38.3753972Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3754175Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3754296Z                 'obj_weakref': None
2022-11-23T01:32:38.3754510Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3754572Z             }
2022-11-23T01:32:38.3754638Z             
2022-11-23T01:32:38.3754895Z [2022-11-23 01:31:32,956] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 489
2022-11-23T01:32:38.3755255Z [2022-11-23 01:31:35,568] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6e/c6edlf4m3vz5idj3rw3fpy5s3cy446mbejasz6fu3juscznjyxa7.py
2022-11-23T01:32:38.3755517Z [2022-11-23 01:31:35,569] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 489
2022-11-23T01:32:38.3755523Z 
2022-11-23T01:32:38.3755603Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3755670Z import torch
2022-11-23T01:32:38.3755739Z import random
2022-11-23T01:32:38.3755854Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3755974Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3755979Z 
2022-11-23T01:32:38.3756055Z aten = torch.ops.aten
2022-11-23T01:32:38.3756188Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3756270Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3756286Z 
2022-11-23T01:32:38.3756290Z 
2022-11-23T01:32:38.3756410Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3756612Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3756734Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:32:38.3756834Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:32:38.3756933Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:38.3756993Z {
2022-11-23T01:32:38.3757089Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3757276Z     {
2022-11-23T01:32:38.3757353Z         #pragma omp for 
2022-11-23T01:32:38.3757439Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3757505Z         {
2022-11-23T01:32:38.3757586Z             #pragma GCC ivdep
2022-11-23T01:32:38.3757670Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3757736Z             {
2022-11-23T01:32:38.3757788Z                 {
2022-11-23T01:32:38.3757854Z                     {
2022-11-23T01:32:38.3757960Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:38.3758054Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:38.3758168Z                         auto tmp2 = static_cast<double>(tmp1);
2022-11-23T01:32:38.3758262Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:38.3758358Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:38.3758412Z                     }
2022-11-23T01:32:38.3758477Z                 }
2022-11-23T01:32:38.3758539Z             }
2022-11-23T01:32:38.3758652Z         }
2022-11-23T01:32:38.3758713Z     }
2022-11-23T01:32:38.3758771Z }
2022-11-23T01:32:38.3758841Z ''')
2022-11-23T01:32:38.3758865Z 
2022-11-23T01:32:38.3758869Z 
2022-11-23T01:32:38.3758945Z async_compile.wait(globals())
2022-11-23T01:32:38.3759017Z del async_compile
2022-11-23T01:32:38.3759022Z 
2022-11-23T01:32:38.3759129Z def call(args):
2022-11-23T01:32:38.3759205Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3759277Z     args.clear()
2022-11-23T01:32:38.3759479Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3759643Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3759700Z     del arg0_1
2022-11-23T01:32:38.3759766Z     del arg1_1
2022-11-23T01:32:38.3759835Z     return (buf0, )
2022-11-23T01:32:38.3759840Z 
2022-11-23T01:32:38.3759844Z 
2022-11-23T01:32:38.3759919Z if __name__ == "__main__":
2022-11-23T01:32:38.3760031Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3760153Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3760353Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3760541Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:38.3760645Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3760650Z 
2022-11-23T01:32:38.3760715Z ok (2.664s)
2022-11-23T01:32:38.3761053Z   test_cpu_double_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:35,584] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3761320Z [2022-11-23 01:31:35,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3761536Z [2022-11-23 01:31:35,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3761786Z [2022-11-23 01:31:35,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3762070Z [2022-11-23 01:31:35,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3762398Z [2022-11-23 01:31:35,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3762729Z [2022-11-23 01:31:35,585] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3762809Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3762897Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3762970Z               4 BINARY_ADD
2022-11-23T01:32:38.3763058Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3763134Z               8 RETURN_VALUE
2022-11-23T01:32:38.3763194Z  
2022-11-23T01:32:38.3763199Z 
2022-11-23T01:32:38.3763463Z [2022-11-23 01:31:35,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3763672Z [2022-11-23 01:31:35,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3763898Z [2022-11-23 01:31:35,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3764170Z [2022-11-23 01:31:35,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3764408Z [2022-11-23 01:31:35,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3764652Z [2022-11-23 01:31:35,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3764987Z [2022-11-23 01:31:35,589] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3765230Z [2022-11-23 01:31:35,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3765491Z [2022-11-23 01:31:35,590] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3765799Z [2022-11-23 01:31:35,592] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3766046Z [2022-11-23 01:31:35,600] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3766221Z [2022-11-23 01:31:35,600] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3766353Z  __compiled_fn_498 <eval_with_key>.3067 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3766442Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3766528Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3766706Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3766801Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3766807Z 
2022-11-23T01:32:38.3767084Z [2022-11-23 01:31:35,601] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3767178Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3767255Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3767350Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3767440Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3767516Z               8 RETURN_VALUE
2022-11-23T01:32:38.3767522Z 
2022-11-23T01:32:38.3767582Z  
2022-11-23T01:32:38.3767856Z [2022-11-23 01:31:35,601] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3767966Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_498)
2022-11-23T01:32:38.3768057Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3768133Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3768208Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3768297Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3768384Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3768457Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3768543Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3768647Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3768735Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3768823Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3768898Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3768985Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3769059Z              26 RETURN_VALUE
2022-11-23T01:32:38.3769064Z 
2022-11-23T01:32:38.3769124Z  
2022-11-23T01:32:38.3769305Z [2022-11-23 01:31:35,603] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3769363Z  - 
2022-11-23T01:32:38.3769480Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3769543Z             {
2022-11-23T01:32:38.3769686Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3769873Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3769992Z                 'obj_weakref': None
2022-11-23T01:32:38.3770218Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3770270Z             }
2022-11-23T01:32:38.3770335Z             
2022-11-23T01:32:38.3770404Z  - 
2022-11-23T01:32:38.3770529Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3770595Z             {
2022-11-23T01:32:38.3770738Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3770845Z                 'code': None,
2022-11-23T01:32:38.3771041Z                 'obj_weakref': <weakref at 0x7f71060e77d0; to 'Tensor' at 0x7f710ce16830>
2022-11-23T01:32:38.3771289Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3771382Z             }
2022-11-23T01:32:38.3771446Z             
2022-11-23T01:32:38.3771517Z  - 
2022-11-23T01:32:38.3771639Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3771704Z             {
2022-11-23T01:32:38.3771834Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3771968Z                 'code': None,
2022-11-23T01:32:38.3772180Z                 'obj_weakref': <weakref at 0x7f70f10c6d70; to 'Tensor' at 0x7f7106c7ea10>
2022-11-23T01:32:38.3772429Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3772495Z             }
2022-11-23T01:32:38.3772560Z             
2022-11-23T01:32:38.3772629Z  - 
2022-11-23T01:32:38.3772746Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3772808Z             {
2022-11-23T01:32:38.3772943Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3773114Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3773238Z                 'obj_weakref': None
2022-11-23T01:32:38.3773466Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3773531Z             }
2022-11-23T01:32:38.3773582Z             
2022-11-23T01:32:38.3773650Z  - 
2022-11-23T01:32:38.3773774Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3773839Z             {
2022-11-23T01:32:38.3773975Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3774191Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3774310Z                 'obj_weakref': None
2022-11-23T01:32:38.3774513Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3774577Z             }
2022-11-23T01:32:38.3774640Z             
2022-11-23T01:32:38.3774900Z [2022-11-23 01:31:35,615] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 490
2022-11-23T01:32:38.3775272Z [2022-11-23 01:31:38,469] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j5/cj57urj7xnbr5edrxbttcvplfwbqt56zxvqmjzqif7gbdpqlrzej.py
2022-11-23T01:32:38.3775539Z [2022-11-23 01:31:38,470] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 490
2022-11-23T01:32:38.3775544Z 
2022-11-23T01:32:38.3775639Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3775709Z import torch
2022-11-23T01:32:38.3775765Z import random
2022-11-23T01:32:38.3775880Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3776001Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3776006Z 
2022-11-23T01:32:38.3776082Z aten = torch.ops.aten
2022-11-23T01:32:38.3776214Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3776306Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3776311Z 
2022-11-23T01:32:38.3776315Z 
2022-11-23T01:32:38.3776449Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3776658Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3776767Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:32:38.3776873Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3776977Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:38.3777037Z {
2022-11-23T01:32:38.3777133Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3777194Z     {
2022-11-23T01:32:38.3777270Z         #pragma omp for 
2022-11-23T01:32:38.3777340Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3777401Z         {
2022-11-23T01:32:38.3777479Z             #pragma GCC ivdep
2022-11-23T01:32:38.3777563Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3777624Z             {
2022-11-23T01:32:38.3777688Z                 {
2022-11-23T01:32:38.3777754Z                     {
2022-11-23T01:32:38.3777844Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:38.3777975Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T01:32:38.3778085Z                         auto tmp2 = static_cast<double>(tmp1);
2022-11-23T01:32:38.3778178Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:38.3778300Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:38.3778366Z                     }
2022-11-23T01:32:38.3778429Z                 }
2022-11-23T01:32:38.3778478Z             }
2022-11-23T01:32:38.3778540Z         }
2022-11-23T01:32:38.3778600Z     }
2022-11-23T01:32:38.3778658Z }
2022-11-23T01:32:38.3778735Z ''')
2022-11-23T01:32:38.3778741Z 
2022-11-23T01:32:38.3778745Z 
2022-11-23T01:32:38.3778833Z async_compile.wait(globals())
2022-11-23T01:32:38.3778903Z del async_compile
2022-11-23T01:32:38.3778908Z 
2022-11-23T01:32:38.3778965Z def call(args):
2022-11-23T01:32:38.3779039Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3779108Z     args.clear()
2022-11-23T01:32:38.3779311Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3779477Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3779546Z     del arg0_1
2022-11-23T01:32:38.3779610Z     del arg1_1
2022-11-23T01:32:38.3779670Z     return (buf0, )
2022-11-23T01:32:38.3779674Z 
2022-11-23T01:32:38.3779690Z 
2022-11-23T01:32:38.3779752Z if __name__ == "__main__":
2022-11-23T01:32:38.3779863Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3779983Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3780185Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3780381Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3780494Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3780498Z 
2022-11-23T01:32:38.3780563Z ok (2.901s)
2022-11-23T01:32:38.3780909Z   test_cpu_double_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:38,485] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3781166Z [2022-11-23 01:31:38,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3781385Z [2022-11-23 01:31:38,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3781636Z [2022-11-23 01:31:38,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3781921Z [2022-11-23 01:31:38,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3782242Z [2022-11-23 01:31:38,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3782570Z [2022-11-23 01:31:38,486] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3782665Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3782755Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3782827Z               4 BINARY_ADD
2022-11-23T01:32:38.3782906Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3782980Z               8 RETURN_VALUE
2022-11-23T01:32:38.3783041Z  
2022-11-23T01:32:38.3783046Z 
2022-11-23T01:32:38.3783311Z [2022-11-23 01:31:38,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3783519Z [2022-11-23 01:31:38,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3783753Z [2022-11-23 01:31:38,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3784025Z [2022-11-23 01:31:38,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3784294Z [2022-11-23 01:31:38,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3784624Z [2022-11-23 01:31:38,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3785014Z [2022-11-23 01:31:38,491] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3785268Z [2022-11-23 01:31:38,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3785504Z [2022-11-23 01:31:38,491] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3785755Z [2022-11-23 01:31:38,493] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3786005Z [2022-11-23 01:31:38,500] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3786195Z [2022-11-23 01:31:38,501] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3786329Z  __compiled_fn_499 <eval_with_key>.3073 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3786418Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3786494Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3786670Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3786766Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3786771Z 
2022-11-23T01:32:38.3787047Z [2022-11-23 01:31:38,502] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3787139Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3787229Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3787320Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3787397Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3787475Z               8 RETURN_VALUE
2022-11-23T01:32:38.3787480Z 
2022-11-23T01:32:38.3787541Z  
2022-11-23T01:32:38.3787816Z [2022-11-23 01:31:38,502] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3787929Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_499)
2022-11-23T01:32:38.3788018Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3789643Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3789718Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3789794Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3789881Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3789957Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3790046Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3790152Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3790253Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3790343Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3790418Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3790491Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3790564Z              26 RETURN_VALUE
2022-11-23T01:32:38.3790570Z 
2022-11-23T01:32:38.3790628Z  
2022-11-23T01:32:38.3790814Z [2022-11-23 01:31:38,503] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3790883Z  - 
2022-11-23T01:32:38.3790999Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3791063Z             {
2022-11-23T01:32:38.3791190Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3791373Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3791491Z                 'obj_weakref': None
2022-11-23T01:32:38.3791713Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3791777Z             }
2022-11-23T01:32:38.3791839Z             
2022-11-23T01:32:38.3791966Z  - 
2022-11-23T01:32:38.3792076Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3792138Z             {
2022-11-23T01:32:38.3792279Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3792387Z                 'code': None,
2022-11-23T01:32:38.3792630Z                 'obj_weakref': <weakref at 0x7f70f1622bf0; to 'Tensor' at 0x7f7106c7ea10>
2022-11-23T01:32:38.3792881Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3792945Z             }
2022-11-23T01:32:38.3792996Z             
2022-11-23T01:32:38.3793066Z  - 
2022-11-23T01:32:38.3793187Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3793251Z             {
2022-11-23T01:32:38.3793392Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3793497Z                 'code': None,
2022-11-23T01:32:38.3793704Z                 'obj_weakref': <weakref at 0x7f7106cfe1d0; to 'Tensor' at 0x7f70f2e09ef0>
2022-11-23T01:32:38.3793941Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3794004Z             }
2022-11-23T01:32:38.3794068Z             
2022-11-23T01:32:38.3794136Z  - 
2022-11-23T01:32:38.3794266Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3794328Z             {
2022-11-23T01:32:38.3794460Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3794615Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3794731Z                 'obj_weakref': None
2022-11-23T01:32:38.3794956Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3795022Z             }
2022-11-23T01:32:38.3795086Z             
2022-11-23T01:32:38.3795154Z  - 
2022-11-23T01:32:38.3795274Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3795324Z             {
2022-11-23T01:32:38.3795457Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3795672Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3795790Z                 'obj_weakref': None
2022-11-23T01:32:38.3796007Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3796071Z             }
2022-11-23T01:32:38.3796131Z             
2022-11-23T01:32:38.3796380Z [2022-11-23 01:31:38,515] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 491
2022-11-23T01:32:38.3796744Z [2022-11-23 01:31:41,131] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zw/czw4an2o3cwhsmmoq67bvszov7srjljtfbfcnk25rxvq2nx7rk7i.py
2022-11-23T01:32:38.3797005Z [2022-11-23 01:31:41,132] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 491
2022-11-23T01:32:38.3797010Z 
2022-11-23T01:32:38.3797103Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3797297Z import torch
2022-11-23T01:32:38.3797366Z import random
2022-11-23T01:32:38.3797480Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3797600Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3797605Z 
2022-11-23T01:32:38.3797670Z aten = torch.ops.aten
2022-11-23T01:32:38.3797805Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3797897Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3797902Z 
2022-11-23T01:32:38.3797906Z 
2022-11-23T01:32:38.3798041Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3798245Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3798366Z extern "C" void kernel(const double* __restrict__ in_ptr0,
2022-11-23T01:32:38.3798470Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3798570Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:38.3798618Z {
2022-11-23T01:32:38.3798770Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3798832Z     {
2022-11-23T01:32:38.3798910Z         #pragma omp for 
2022-11-23T01:32:38.3798992Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3799055Z         {
2022-11-23T01:32:38.3799134Z             #pragma GCC ivdep
2022-11-23T01:32:38.3799241Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3799306Z             {
2022-11-23T01:32:38.3799370Z                 {
2022-11-23T01:32:38.3799437Z                     {
2022-11-23T01:32:38.3799540Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:38.3799641Z                         auto tmp1 = in_ptr1[i0 + (10*i1)];
2022-11-23T01:32:38.3799752Z                         auto tmp2 = static_cast<double>(tmp1);
2022-11-23T01:32:38.3799831Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:38.3799924Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:38.3799991Z                     }
2022-11-23T01:32:38.3800060Z                 }
2022-11-23T01:32:38.3800125Z             }
2022-11-23T01:32:38.3800189Z         }
2022-11-23T01:32:38.3800237Z     }
2022-11-23T01:32:38.3800295Z }
2022-11-23T01:32:38.3800374Z ''')
2022-11-23T01:32:38.3800379Z 
2022-11-23T01:32:38.3800383Z 
2022-11-23T01:32:38.3800483Z async_compile.wait(globals())
2022-11-23T01:32:38.3800556Z del async_compile
2022-11-23T01:32:38.3800560Z 
2022-11-23T01:32:38.3800629Z def call(args):
2022-11-23T01:32:38.3800703Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3800773Z     args.clear()
2022-11-23T01:32:38.3800958Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3801119Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3801186Z     del arg0_1
2022-11-23T01:32:38.3801251Z     del arg1_1
2022-11-23T01:32:38.3801323Z     return (buf0, )
2022-11-23T01:32:38.3801328Z 
2022-11-23T01:32:38.3801332Z 
2022-11-23T01:32:38.3801407Z if __name__ == "__main__":
2022-11-23T01:32:38.3801523Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3801632Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3801829Z     arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3802027Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3802141Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3802146Z 
2022-11-23T01:32:38.3802211Z ok (2.662s)
2022-11-23T01:32:38.3802552Z   test_cpu_int_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:41,145] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3802820Z [2022-11-23 01:31:41,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3803040Z [2022-11-23 01:31:41,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3803296Z [2022-11-23 01:31:41,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3803568Z [2022-11-23 01:31:41,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3803891Z [2022-11-23 01:31:41,145] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3804218Z [2022-11-23 01:31:41,146] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3804311Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3804401Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3804475Z               4 BINARY_ADD
2022-11-23T01:32:38.3804563Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3804640Z               8 RETURN_VALUE
2022-11-23T01:32:38.3804722Z  
2022-11-23T01:32:38.3804727Z 
2022-11-23T01:32:38.3804991Z [2022-11-23 01:31:41,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3805198Z [2022-11-23 01:31:41,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3805462Z [2022-11-23 01:31:41,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3805735Z [2022-11-23 01:31:41,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3805977Z [2022-11-23 01:31:41,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3806221Z [2022-11-23 01:31:41,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3806553Z [2022-11-23 01:31:41,150] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3806800Z [2022-11-23 01:31:41,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3807033Z [2022-11-23 01:31:41,150] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3807274Z [2022-11-23 01:31:41,152] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3807522Z [2022-11-23 01:31:41,164] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3807710Z [2022-11-23 01:31:41,164] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3807844Z  __compiled_fn_500 <eval_with_key>.3079 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3807935Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3808028Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3808206Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3808290Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3808310Z 
2022-11-23T01:32:38.3808572Z [2022-11-23 01:31:41,165] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3808666Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3808760Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3808854Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3808947Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3809024Z               8 RETURN_VALUE
2022-11-23T01:32:38.3809029Z 
2022-11-23T01:32:38.3809090Z  
2022-11-23T01:32:38.3809348Z [2022-11-23 01:31:41,165] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3809458Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_500)
2022-11-23T01:32:38.3809548Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3809638Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3809719Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3809811Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3809903Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3809978Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3810056Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3810160Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3810261Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3810352Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3810430Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3810519Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3810595Z              26 RETURN_VALUE
2022-11-23T01:32:38.3810601Z 
2022-11-23T01:32:38.3810648Z  
2022-11-23T01:32:38.3810831Z [2022-11-23 01:31:41,167] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3810901Z  - 
2022-11-23T01:32:38.3811051Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3811116Z             {
2022-11-23T01:32:38.3811257Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3811444Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3811577Z                 'obj_weakref': None
2022-11-23T01:32:38.3811805Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3811870Z             }
2022-11-23T01:32:38.3811935Z             
2022-11-23T01:32:38.3812006Z  - 
2022-11-23T01:32:38.3812130Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3812194Z             {
2022-11-23T01:32:38.3812323Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3812431Z                 'code': None,
2022-11-23T01:32:38.3812637Z                 'obj_weakref': <weakref at 0x7f7107133410; to 'Tensor' at 0x7f7106a0c950>
2022-11-23T01:32:38.3812893Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3812961Z             }
2022-11-23T01:32:38.3813022Z             
2022-11-23T01:32:38.3813091Z  - 
2022-11-23T01:32:38.3813200Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3813264Z             {
2022-11-23T01:32:38.3813409Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3813517Z                 'code': None,
2022-11-23T01:32:38.3813724Z                 'obj_weakref': <weakref at 0x7f710627c530; to 'Tensor' at 0x7f7106a0c650>
2022-11-23T01:32:38.3813970Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3814034Z             }
2022-11-23T01:32:38.3814086Z             
2022-11-23T01:32:38.3814156Z  - 
2022-11-23T01:32:38.3814285Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3814348Z             {
2022-11-23T01:32:38.3814481Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3814650Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3814767Z                 'obj_weakref': None
2022-11-23T01:32:38.3814983Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3815044Z             }
2022-11-23T01:32:38.3815108Z             
2022-11-23T01:32:38.3815175Z  - 
2022-11-23T01:32:38.3815294Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3815356Z             {
2022-11-23T01:32:38.3815489Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3815692Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3815810Z                 'obj_weakref': None
2022-11-23T01:32:38.3816026Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3821744Z             }
2022-11-23T01:32:38.3821829Z             
2022-11-23T01:32:38.3822125Z [2022-11-23 01:31:41,179] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 492
2022-11-23T01:32:38.3822514Z [2022-11-23 01:31:43,778] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tb/ctbnqunwlrr7btsuwzylssorlm4tqsejymvsvax4lsmfdmtuef6f.py
2022-11-23T01:32:38.3822783Z [2022-11-23 01:31:43,778] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 492
2022-11-23T01:32:38.3822790Z 
2022-11-23T01:32:38.3822873Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3822943Z import torch
2022-11-23T01:32:38.3823017Z import random
2022-11-23T01:32:38.3823135Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3823255Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3823260Z 
2022-11-23T01:32:38.3823337Z aten = torch.ops.aten
2022-11-23T01:32:38.3823470Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3823560Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3823646Z 
2022-11-23T01:32:38.3823650Z 
2022-11-23T01:32:38.3823773Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3823979Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3824096Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:32:38.3824235Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3824335Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3824397Z {
2022-11-23T01:32:38.3824586Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3824636Z     {
2022-11-23T01:32:38.3824712Z         #pragma omp for 
2022-11-23T01:32:38.3824794Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3824857Z         {
2022-11-23T01:32:38.3824921Z             {
2022-11-23T01:32:38.3824984Z                 {
2022-11-23T01:32:38.3825076Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.3825153Z                     auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:38.3825261Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:38.3825356Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:38.3825440Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:38.3825505Z                 }
2022-11-23T01:32:38.3825567Z             }
2022-11-23T01:32:38.3825632Z         }
2022-11-23T01:32:38.3825681Z     }
2022-11-23T01:32:38.3825739Z }
2022-11-23T01:32:38.3825819Z ''')
2022-11-23T01:32:38.3825824Z 
2022-11-23T01:32:38.3825828Z 
2022-11-23T01:32:38.3825917Z async_compile.wait(globals())
2022-11-23T01:32:38.3825988Z del async_compile
2022-11-23T01:32:38.3825993Z 
2022-11-23T01:32:38.3826061Z def call(args):
2022-11-23T01:32:38.3826137Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3826195Z     args.clear()
2022-11-23T01:32:38.3826388Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3826549Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3826619Z     del arg0_1
2022-11-23T01:32:38.3826684Z     del arg1_1
2022-11-23T01:32:38.3826753Z     return (buf0, )
2022-11-23T01:32:38.3826758Z 
2022-11-23T01:32:38.3826763Z 
2022-11-23T01:32:38.3826838Z if __name__ == "__main__":
2022-11-23T01:32:38.3826951Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3827060Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3827250Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:38.3827443Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3827556Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3827560Z 
2022-11-23T01:32:38.3827626Z ok (2.645s)
2022-11-23T01:32:38.3827964Z   test_cpu_int_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:43,789] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3828231Z [2022-11-23 01:31:43,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3828451Z [2022-11-23 01:31:43,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3828695Z [2022-11-23 01:31:43,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3828980Z [2022-11-23 01:31:43,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3829302Z [2022-11-23 01:31:43,789] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3829631Z [2022-11-23 01:31:43,790] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3829721Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3829810Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3829918Z               4 BINARY_ADD
2022-11-23T01:32:38.3830005Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3830080Z               8 RETURN_VALUE
2022-11-23T01:32:38.3830128Z  
2022-11-23T01:32:38.3830134Z 
2022-11-23T01:32:38.3830427Z [2022-11-23 01:31:43,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3830636Z [2022-11-23 01:31:43,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3830871Z [2022-11-23 01:31:43,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3831141Z [2022-11-23 01:31:43,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3831379Z [2022-11-23 01:31:43,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3831622Z [2022-11-23 01:31:43,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3831957Z [2022-11-23 01:31:43,794] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3832202Z [2022-11-23 01:31:43,794] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3832423Z [2022-11-23 01:31:43,794] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3832674Z [2022-11-23 01:31:43,796] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3832920Z [2022-11-23 01:31:43,801] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3833107Z [2022-11-23 01:31:43,801] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3833242Z  __compiled_fn_501 <eval_with_key>.3085 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3833333Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3833419Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3833595Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3833677Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3833682Z 
2022-11-23T01:32:38.3833958Z [2022-11-23 01:31:43,802] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3834051Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3834141Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3834233Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3834323Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3834399Z               8 RETURN_VALUE
2022-11-23T01:32:38.3834404Z 
2022-11-23T01:32:38.3834463Z  
2022-11-23T01:32:38.3834720Z [2022-11-23 01:31:43,802] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3834830Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_501)
2022-11-23T01:32:38.3834918Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3835006Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3835084Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3835169Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3835255Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3835317Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3835403Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3835507Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3835608Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3835696Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3835770Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3835856Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3835947Z              26 RETURN_VALUE
2022-11-23T01:32:38.3835952Z 
2022-11-23T01:32:38.3836011Z  
2022-11-23T01:32:38.3836192Z [2022-11-23 01:31:43,804] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3836259Z  - 
2022-11-23T01:32:38.3836377Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3836489Z             {
2022-11-23T01:32:38.3836629Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3836803Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3836920Z                 'obj_weakref': None
2022-11-23T01:32:38.3837264Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3837328Z             }
2022-11-23T01:32:38.3837391Z             
2022-11-23T01:32:38.3837461Z  - 
2022-11-23T01:32:38.3837586Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3837636Z             {
2022-11-23T01:32:38.3837776Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3837885Z                 'code': None,
2022-11-23T01:32:38.3838092Z                 'obj_weakref': <weakref at 0x7f712a553290; to 'Tensor' at 0x7f70f1622bf0>
2022-11-23T01:32:38.3838339Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3838405Z             }
2022-11-23T01:32:38.3838469Z             
2022-11-23T01:32:38.3838523Z  - 
2022-11-23T01:32:38.3838645Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3838707Z             {
2022-11-23T01:32:38.3838846Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3838952Z                 'code': None,
2022-11-23T01:32:38.3839154Z                 'obj_weakref': <weakref at 0x7f7107133ad0; to 'Tensor' at 0x7f7129edf950>
2022-11-23T01:32:38.3839401Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3839464Z             }
2022-11-23T01:32:38.3839516Z             
2022-11-23T01:32:38.3839583Z  - 
2022-11-23T01:32:38.3839714Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3839776Z             {
2022-11-23T01:32:38.3839910Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3840079Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3840186Z                 'obj_weakref': None
2022-11-23T01:32:38.3840411Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3840474Z             }
2022-11-23T01:32:38.3840535Z             
2022-11-23T01:32:38.3840602Z  - 
2022-11-23T01:32:38.3840721Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3840783Z             {
2022-11-23T01:32:38.3840905Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3841119Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3841237Z                 'obj_weakref': None
2022-11-23T01:32:38.3841454Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3841516Z             }
2022-11-23T01:32:38.3841578Z             
2022-11-23T01:32:38.3841838Z [2022-11-23 01:31:43,813] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 493
2022-11-23T01:32:38.3842205Z [2022-11-23 01:31:46,403] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jn/cjnmlc77v7p4fnwd4pjgtqtm5sqnijujvzrtfhtpytaj5znxswzl.py
2022-11-23T01:32:38.3842455Z [2022-11-23 01:31:46,404] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 493
2022-11-23T01:32:38.3842476Z 
2022-11-23T01:32:38.3842556Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3842624Z import torch
2022-11-23T01:32:38.3842691Z import random
2022-11-23T01:32:38.3842804Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3842922Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3842987Z 
2022-11-23T01:32:38.3843065Z aten = torch.ops.aten
2022-11-23T01:32:38.3843198Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3843278Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3843283Z 
2022-11-23T01:32:38.3843288Z 
2022-11-23T01:32:38.3843458Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3843664Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3843780Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:32:38.3843883Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3843982Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3844043Z {
2022-11-23T01:32:38.3844139Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3844188Z     {
2022-11-23T01:32:38.3844264Z         #pragma omp for 
2022-11-23T01:32:38.3844345Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3844411Z         {
2022-11-23T01:32:38.3844489Z             #pragma GCC ivdep
2022-11-23T01:32:38.3844574Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3844624Z             {
2022-11-23T01:32:38.3844687Z                 {
2022-11-23T01:32:38.3844753Z                     {
2022-11-23T01:32:38.3844849Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:38.3844942Z                         auto tmp2 = in_ptr1[i0];
2022-11-23T01:32:38.3845050Z                         auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:38.3845141Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:38.3845224Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:38.3845289Z                     }
2022-11-23T01:32:38.3845352Z                 }
2022-11-23T01:32:38.3845414Z             }
2022-11-23T01:32:38.3845476Z         }
2022-11-23T01:32:38.3845535Z     }
2022-11-23T01:32:38.3845593Z }
2022-11-23T01:32:38.3845660Z ''')
2022-11-23T01:32:38.3845666Z 
2022-11-23T01:32:38.3845672Z 
2022-11-23T01:32:38.3845760Z async_compile.wait(globals())
2022-11-23T01:32:38.3845830Z del async_compile
2022-11-23T01:32:38.3845835Z 
2022-11-23T01:32:38.3845903Z def call(args):
2022-11-23T01:32:38.3845977Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3846047Z     args.clear()
2022-11-23T01:32:38.3846255Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3846406Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3846473Z     del arg0_1
2022-11-23T01:32:38.3846537Z     del arg1_1
2022-11-23T01:32:38.3846610Z     return (buf0, )
2022-11-23T01:32:38.3846615Z 
2022-11-23T01:32:38.3846619Z 
2022-11-23T01:32:38.3846695Z if __name__ == "__main__":
2022-11-23T01:32:38.3846808Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3846928Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3847118Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:38.3847313Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3847425Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3847430Z 
2022-11-23T01:32:38.3847497Z ok (2.626s)
2022-11-23T01:32:38.3847836Z   test_cpu_int_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:46,415] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3848106Z [2022-11-23 01:31:46,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3848321Z [2022-11-23 01:31:46,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3848572Z [2022-11-23 01:31:46,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3848856Z [2022-11-23 01:31:46,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3849221Z [2022-11-23 01:31:46,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3849594Z [2022-11-23 01:31:46,416] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3849675Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3849765Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3849841Z               4 BINARY_ADD
2022-11-23T01:32:38.3849933Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3850009Z               8 RETURN_VALUE
2022-11-23T01:32:38.3850070Z  
2022-11-23T01:32:38.3850075Z 
2022-11-23T01:32:38.3850340Z [2022-11-23 01:31:46,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3850536Z [2022-11-23 01:31:46,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3850775Z [2022-11-23 01:31:46,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3851049Z [2022-11-23 01:31:46,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3851290Z [2022-11-23 01:31:46,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3851534Z [2022-11-23 01:31:46,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3851865Z [2022-11-23 01:31:46,419] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3852109Z [2022-11-23 01:31:46,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3852342Z [2022-11-23 01:31:46,420] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3852596Z [2022-11-23 01:31:46,421] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3852847Z [2022-11-23 01:31:46,426] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3853024Z [2022-11-23 01:31:46,427] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3853156Z  __compiled_fn_502 <eval_with_key>.3091 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3853248Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3853332Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3853510Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3853604Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3853609Z 
2022-11-23T01:32:38.3853881Z [2022-11-23 01:31:46,427] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3853976Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3854054Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3854143Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3854236Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3854313Z               8 RETURN_VALUE
2022-11-23T01:32:38.3854318Z 
2022-11-23T01:32:38.3854381Z  
2022-11-23T01:32:38.3854653Z [2022-11-23 01:31:46,428] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3854761Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_502)
2022-11-23T01:32:38.3854838Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3854926Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3855004Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3855089Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3855174Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3855285Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3855372Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3855462Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3855561Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3855678Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3855755Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3855841Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3855915Z              26 RETURN_VALUE
2022-11-23T01:32:38.3855920Z 
2022-11-23T01:32:38.3855979Z  
2022-11-23T01:32:38.3856162Z [2022-11-23 01:31:46,429] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3856218Z  - 
2022-11-23T01:32:38.3856336Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3856398Z             {
2022-11-23T01:32:38.3856537Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3856723Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3856843Z                 'obj_weakref': None
2022-11-23T01:32:38.3857063Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3857114Z             }
2022-11-23T01:32:38.3857176Z             
2022-11-23T01:32:38.3857249Z  - 
2022-11-23T01:32:38.3857370Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3857432Z             {
2022-11-23T01:32:38.3857571Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3857665Z                 'code': None,
2022-11-23T01:32:38.3857870Z                 'obj_weakref': <weakref at 0x7f71070cbe90; to 'Tensor' at 0x7f7107133cb0>
2022-11-23T01:32:38.3858115Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3858178Z             }
2022-11-23T01:32:38.3858242Z             
2022-11-23T01:32:38.3858308Z  - 
2022-11-23T01:32:38.3858429Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3858482Z             {
2022-11-23T01:32:38.3858621Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3858724Z                 'code': None,
2022-11-23T01:32:38.3858926Z                 'obj_weakref': <weakref at 0x7f710639d4d0; to 'Tensor' at 0x7f71060ebbf0>
2022-11-23T01:32:38.3859173Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3859236Z             }
2022-11-23T01:32:38.3859298Z             
2022-11-23T01:32:38.3859365Z  - 
2022-11-23T01:32:38.3859482Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3859543Z             {
2022-11-23T01:32:38.3859674Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3859843Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3859960Z                 'obj_weakref': None
2022-11-23T01:32:38.3860184Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3860250Z             }
2022-11-23T01:32:38.3860299Z             
2022-11-23T01:32:38.3860367Z  - 
2022-11-23T01:32:38.3860486Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3860547Z             {
2022-11-23T01:32:38.3860683Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3860896Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3861012Z                 'obj_weakref': None
2022-11-23T01:32:38.3861213Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3861274Z             }
2022-11-23T01:32:38.3861335Z             
2022-11-23T01:32:38.3861593Z [2022-11-23 01:31:46,438] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 494
2022-11-23T01:32:38.3861963Z [2022-11-23 01:31:49,039] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fl/cflldtla6ageqynnbv4dszmisgcc35bjg3acgcgeke3ctnejebcn.py
2022-11-23T01:32:38.3862259Z [2022-11-23 01:31:49,039] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 494
2022-11-23T01:32:38.3862265Z 
2022-11-23T01:32:38.3862357Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3862452Z import torch
2022-11-23T01:32:38.3862509Z import random
2022-11-23T01:32:38.3862622Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3862741Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3862746Z 
2022-11-23T01:32:38.3862821Z aten = torch.ops.aten
2022-11-23T01:32:38.3862953Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3863043Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3863048Z 
2022-11-23T01:32:38.3863053Z 
2022-11-23T01:32:38.3863184Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3863388Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3863493Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:32:38.3863600Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3863700Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3863760Z {
2022-11-23T01:32:38.3863859Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3863920Z     {
2022-11-23T01:32:38.3863997Z         #pragma omp for 
2022-11-23T01:32:38.3864065Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3864130Z         {
2022-11-23T01:32:38.3864193Z             {
2022-11-23T01:32:38.3864256Z                 {
2022-11-23T01:32:38.3864347Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.3864515Z                     auto tmp2 = in_ptr1[0];
2022-11-23T01:32:38.3864616Z                     auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:38.3864706Z                     auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:38.3864789Z                     out_ptr0[i0] = tmp3;
2022-11-23T01:32:38.3864855Z                 }
2022-11-23T01:32:38.3864918Z             }
2022-11-23T01:32:38.3864984Z         }
2022-11-23T01:32:38.3865045Z     }
2022-11-23T01:32:38.3865091Z }
2022-11-23T01:32:38.3865173Z ''')
2022-11-23T01:32:38.3865177Z 
2022-11-23T01:32:38.3865181Z 
2022-11-23T01:32:38.3865271Z async_compile.wait(globals())
2022-11-23T01:32:38.3865345Z del async_compile
2022-11-23T01:32:38.3865350Z 
2022-11-23T01:32:38.3865420Z def call(args):
2022-11-23T01:32:38.3865495Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3865566Z     args.clear()
2022-11-23T01:32:38.3865748Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3865909Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3865976Z     del arg0_1
2022-11-23T01:32:38.3866042Z     del arg1_1
2022-11-23T01:32:38.3866113Z     return (buf0, )
2022-11-23T01:32:38.3866118Z 
2022-11-23T01:32:38.3866123Z 
2022-11-23T01:32:38.3866200Z if __name__ == "__main__":
2022-11-23T01:32:38.3866312Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3866432Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3866609Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:38.3866801Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3866914Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3866920Z 
2022-11-23T01:32:38.3866984Z ok (2.636s)
2022-11-23T01:32:38.3867313Z   test_cpu_int_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:49,053] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3867582Z [2022-11-23 01:31:49,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3867795Z [2022-11-23 01:31:49,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3868083Z [2022-11-23 01:31:49,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3868366Z [2022-11-23 01:31:49,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3868705Z [2022-11-23 01:31:49,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3869036Z [2022-11-23 01:31:49,054] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3869127Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3869216Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3869288Z               4 BINARY_ADD
2022-11-23T01:32:38.3869377Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3869452Z               8 RETURN_VALUE
2022-11-23T01:32:38.3869514Z  
2022-11-23T01:32:38.3869519Z 
2022-11-23T01:32:38.3869769Z [2022-11-23 01:31:49,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3869977Z [2022-11-23 01:31:49,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3870214Z [2022-11-23 01:31:49,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3870487Z [2022-11-23 01:31:49,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3870725Z [2022-11-23 01:31:49,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3870967Z [2022-11-23 01:31:49,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3871303Z [2022-11-23 01:31:49,059] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3871547Z [2022-11-23 01:31:49,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3871779Z [2022-11-23 01:31:49,059] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3872021Z [2022-11-23 01:31:49,061] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3872266Z [2022-11-23 01:31:49,068] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3872450Z [2022-11-23 01:31:49,068] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3872583Z  __compiled_fn_503 <eval_with_key>.3097 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3872671Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3872759Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3872934Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3873031Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3873036Z 
2022-11-23T01:32:38.3873310Z [2022-11-23 01:31:49,069] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3873391Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3873482Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3873573Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3873662Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3873737Z               8 RETURN_VALUE
2022-11-23T01:32:38.3873742Z 
2022-11-23T01:32:38.3873805Z  
2022-11-23T01:32:38.3874074Z [2022-11-23 01:31:49,069] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3874170Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_503)
2022-11-23T01:32:38.3874258Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3874346Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3874488Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3874576Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3874661Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3874735Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3874835Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3874940Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3875045Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3875131Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3875206Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3875293Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3875368Z              26 RETURN_VALUE
2022-11-23T01:32:38.3875373Z 
2022-11-23T01:32:38.3875432Z  
2022-11-23T01:32:38.3875600Z [2022-11-23 01:31:49,071] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3875668Z  - 
2022-11-23T01:32:38.3875789Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3875852Z             {
2022-11-23T01:32:38.3875989Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3876172Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3876293Z                 'obj_weakref': None
2022-11-23T01:32:38.3876500Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3876564Z             }
2022-11-23T01:32:38.3876626Z             
2022-11-23T01:32:38.3876692Z  - 
2022-11-23T01:32:38.3876814Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3876875Z             {
2022-11-23T01:32:38.3877015Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3877234Z                 'code': None,
2022-11-23T01:32:38.3877445Z                 'obj_weakref': <weakref at 0x7f7129e42e30; to 'Tensor' at 0x7f710636cd10>
2022-11-23T01:32:38.3877694Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3877760Z             }
2022-11-23T01:32:38.3877823Z             
2022-11-23T01:32:38.3877892Z  - 
2022-11-23T01:32:38.3878012Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3878062Z             {
2022-11-23T01:32:38.3878207Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3878314Z                 'code': None,
2022-11-23T01:32:38.3878518Z                 'obj_weakref': <weakref at 0x7f70f10a40b0; to 'Tensor' at 0x7f7141277cb0>
2022-11-23T01:32:38.3878763Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3878825Z             }
2022-11-23T01:32:38.3878888Z             
2022-11-23T01:32:38.3878943Z  - 
2022-11-23T01:32:38.3879072Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3879135Z             {
2022-11-23T01:32:38.3879268Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3879438Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3879555Z                 'obj_weakref': None
2022-11-23T01:32:38.3879783Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3879834Z             }
2022-11-23T01:32:38.3879898Z             
2022-11-23T01:32:38.3879966Z  - 
2022-11-23T01:32:38.3880086Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3880148Z             {
2022-11-23T01:32:38.3880281Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3880494Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3880597Z                 'obj_weakref': None
2022-11-23T01:32:38.3880813Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3880876Z             }
2022-11-23T01:32:38.3880938Z             
2022-11-23T01:32:38.3881249Z [2022-11-23 01:31:49,082] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 495
2022-11-23T01:32:38.3881615Z [2022-11-23 01:31:51,669] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fk/cfka7e4bvoetn7n4zl52vx3bsak5hrgnjgulzwl65dqzj4qnnssi.py
2022-11-23T01:32:38.3881927Z [2022-11-23 01:31:51,670] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 495
2022-11-23T01:32:38.3881934Z 
2022-11-23T01:32:38.3882027Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3882083Z import torch
2022-11-23T01:32:38.3882150Z import random
2022-11-23T01:32:38.3882263Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3882383Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3882388Z 
2022-11-23T01:32:38.3882464Z aten = torch.ops.aten
2022-11-23T01:32:38.3882597Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3882687Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3882694Z 
2022-11-23T01:32:38.3882699Z 
2022-11-23T01:32:38.3882831Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3883024Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3883140Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:32:38.3883249Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3883347Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3883408Z {
2022-11-23T01:32:38.3883504Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3883567Z     {
2022-11-23T01:32:38.3883630Z         #pragma omp for 
2022-11-23T01:32:38.3883712Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3883775Z         {
2022-11-23T01:32:38.3883853Z             #pragma GCC ivdep
2022-11-23T01:32:38.3883938Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3883999Z             {
2022-11-23T01:32:38.3884051Z                 {
2022-11-23T01:32:38.3884118Z                     {
2022-11-23T01:32:38.3884211Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:38.3884311Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:38.3884420Z                         auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:38.3884514Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:38.3884609Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:38.3884674Z                     }
2022-11-23T01:32:38.3884726Z                 }
2022-11-23T01:32:38.3884787Z             }
2022-11-23T01:32:38.3884851Z         }
2022-11-23T01:32:38.3884911Z     }
2022-11-23T01:32:38.3884973Z }
2022-11-23T01:32:38.3885049Z ''')
2022-11-23T01:32:38.3885054Z 
2022-11-23T01:32:38.3885059Z 
2022-11-23T01:32:38.3885146Z async_compile.wait(globals())
2022-11-23T01:32:38.3885204Z del async_compile
2022-11-23T01:32:38.3885209Z 
2022-11-23T01:32:38.3885276Z def call(args):
2022-11-23T01:32:38.3885353Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3885426Z     args.clear()
2022-11-23T01:32:38.3885624Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3885785Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3885859Z     del arg0_1
2022-11-23T01:32:38.3885913Z     del arg1_1
2022-11-23T01:32:38.3885985Z     return (buf0, )
2022-11-23T01:32:38.3885990Z 
2022-11-23T01:32:38.3885994Z 
2022-11-23T01:32:38.3886070Z if __name__ == "__main__":
2022-11-23T01:32:38.3886181Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3886302Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3886492Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:38.3886689Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3886801Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3886834Z 
2022-11-23T01:32:38.3886887Z ok (2.632s)
2022-11-23T01:32:38.3887215Z   test_cpu_int_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:51,706] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3887509Z [2022-11-23 01:31:51,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3887726Z [2022-11-23 01:31:51,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3887977Z [2022-11-23 01:31:51,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3888257Z [2022-11-23 01:31:51,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3888579Z [2022-11-23 01:31:51,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3888907Z [2022-11-23 01:31:51,708] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3888999Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3889078Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3889151Z               4 BINARY_ADD
2022-11-23T01:32:38.3889242Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3889320Z               8 RETURN_VALUE
2022-11-23T01:32:38.3889384Z  
2022-11-23T01:32:38.3889389Z 
2022-11-23T01:32:38.3889653Z [2022-11-23 01:31:51,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3889858Z [2022-11-23 01:31:51,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3890092Z [2022-11-23 01:31:51,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3890351Z [2022-11-23 01:31:51,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3890593Z [2022-11-23 01:31:51,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3890841Z [2022-11-23 01:31:51,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3891175Z [2022-11-23 01:31:51,731] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3891418Z [2022-11-23 01:31:51,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3891650Z [2022-11-23 01:31:51,732] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3891904Z [2022-11-23 01:31:51,734] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3892148Z [2022-11-23 01:31:51,752] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3892338Z [2022-11-23 01:31:51,753] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3892459Z  __compiled_fn_504 <eval_with_key>.3103 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3892549Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3892638Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3892815Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3892911Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3892916Z 
2022-11-23T01:32:38.3893190Z [2022-11-23 01:31:51,753] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3893282Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3893371Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3893450Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3893566Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3893642Z               8 RETURN_VALUE
2022-11-23T01:32:38.3893647Z 
2022-11-23T01:32:38.3893707Z  
2022-11-23T01:32:38.3893980Z [2022-11-23 01:31:51,754] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3894121Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_504)
2022-11-23T01:32:38.3894212Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3894300Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3894364Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3894449Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3894535Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3894608Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3894695Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3894796Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3894900Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3894974Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3895049Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3895136Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3895209Z              26 RETURN_VALUE
2022-11-23T01:32:38.3895217Z 
2022-11-23T01:32:38.3895275Z  
2022-11-23T01:32:38.3895455Z [2022-11-23 01:31:51,755] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3895523Z  - 
2022-11-23T01:32:38.3895629Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3895691Z             {
2022-11-23T01:32:38.3895831Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3896016Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3896133Z                 'obj_weakref': None
2022-11-23T01:32:38.3896356Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3896422Z             }
2022-11-23T01:32:38.3896472Z             
2022-11-23T01:32:38.3896540Z  - 
2022-11-23T01:32:38.3896665Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3896727Z             {
2022-11-23T01:32:38.3896868Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3896975Z                 'code': None,
2022-11-23T01:32:38.3897180Z                 'obj_weakref': <weakref at 0x7f7129ec8290; to 'Tensor' at 0x7f710627cad0>
2022-11-23T01:32:38.3897415Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3897477Z             }
2022-11-23T01:32:38.3897539Z             
2022-11-23T01:32:38.3897606Z  - 
2022-11-23T01:32:38.3897726Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3897787Z             {
2022-11-23T01:32:38.3897928Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3898021Z                 'code': None,
2022-11-23T01:32:38.3898225Z                 'obj_weakref': <weakref at 0x7f71060e73b0; to 'Tensor' at 0x7f70f10bcd70>
2022-11-23T01:32:38.3898475Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3898537Z             }
2022-11-23T01:32:38.3898599Z             
2022-11-23T01:32:38.3898668Z  - 
2022-11-23T01:32:38.3898797Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3898847Z             {
2022-11-23T01:32:38.3898979Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3899146Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3899264Z                 'obj_weakref': None
2022-11-23T01:32:38.3899489Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3899551Z             }
2022-11-23T01:32:38.3899612Z             
2022-11-23T01:32:38.3899667Z  - 
2022-11-23T01:32:38.3899786Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3899875Z             {
2022-11-23T01:32:38.3900009Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3900221Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3900337Z                 'obj_weakref': None
2022-11-23T01:32:38.3900579Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3900630Z             }
2022-11-23T01:32:38.3900691Z             
2022-11-23T01:32:38.3900951Z [2022-11-23 01:31:51,764] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 496
2022-11-23T01:32:38.3901314Z [2022-11-23 01:31:54,360] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cw/ccwm4tea2cyd24t22ysoyp5cjrjkwlvfu4ak4fb25hs4lthdc4p3.py
2022-11-23T01:32:38.3901574Z [2022-11-23 01:31:54,361] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 496
2022-11-23T01:32:38.3901579Z 
2022-11-23T01:32:38.3901673Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3901740Z import torch
2022-11-23T01:32:38.3901808Z import random
2022-11-23T01:32:38.3901908Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3902026Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3902031Z 
2022-11-23T01:32:38.3902109Z aten = torch.ops.aten
2022-11-23T01:32:38.3902244Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3902337Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3902342Z 
2022-11-23T01:32:38.3902346Z 
2022-11-23T01:32:38.3902477Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3902679Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3902795Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:32:38.3902888Z                        const double* __restrict__ in_ptr1,
2022-11-23T01:32:38.3902986Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:38.3903050Z {
2022-11-23T01:32:38.3903147Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3903209Z     {
2022-11-23T01:32:38.3903283Z         #pragma omp for 
2022-11-23T01:32:38.3903365Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3903415Z         {
2022-11-23T01:32:38.3903494Z             #pragma GCC ivdep
2022-11-23T01:32:38.3903579Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3903641Z             {
2022-11-23T01:32:38.3903706Z                 {
2022-11-23T01:32:38.3903771Z                     {
2022-11-23T01:32:38.3903865Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:38.3903955Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:38.3904063Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:32:38.3904156Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:38.3904249Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:38.3904315Z                     }
2022-11-23T01:32:38.3904381Z                 }
2022-11-23T01:32:38.3904528Z             }
2022-11-23T01:32:38.3904581Z         }
2022-11-23T01:32:38.3904642Z     }
2022-11-23T01:32:38.3904700Z }
2022-11-23T01:32:38.3904780Z ''')
2022-11-23T01:32:38.3904785Z 
2022-11-23T01:32:38.3904789Z 
2022-11-23T01:32:38.3904883Z async_compile.wait(globals())
2022-11-23T01:32:38.3904958Z del async_compile
2022-11-23T01:32:38.3904962Z 
2022-11-23T01:32:38.3905035Z def call(args):
2022-11-23T01:32:38.3905096Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3905168Z     args.clear()
2022-11-23T01:32:38.3905370Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3905532Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3905599Z     del arg0_1
2022-11-23T01:32:38.3905666Z     del arg1_1
2022-11-23T01:32:38.3905737Z     return (buf0, )
2022-11-23T01:32:38.3905742Z 
2022-11-23T01:32:38.3905785Z 
2022-11-23T01:32:38.3905848Z if __name__ == "__main__":
2022-11-23T01:32:38.3905960Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3906081Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3906272Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:38.3906498Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.3906611Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3906616Z 
2022-11-23T01:32:38.3906681Z ok (2.688s)
2022-11-23T01:32:38.3907006Z   test_cpu_int_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:54,371] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3907275Z [2022-11-23 01:31:54,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3907477Z [2022-11-23 01:31:54,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3907731Z [2022-11-23 01:31:54,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3908016Z [2022-11-23 01:31:54,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3908340Z [2022-11-23 01:31:54,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3908669Z [2022-11-23 01:31:54,372] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3908760Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3908851Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3908923Z               4 BINARY_ADD
2022-11-23T01:32:38.3909000Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3909074Z               8 RETURN_VALUE
2022-11-23T01:32:38.3909136Z  
2022-11-23T01:32:38.3909141Z 
2022-11-23T01:32:38.3909403Z [2022-11-23 01:31:54,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3909608Z [2022-11-23 01:31:54,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3909844Z [2022-11-23 01:31:54,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3910115Z [2022-11-23 01:31:54,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3910354Z [2022-11-23 01:31:54,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3910595Z [2022-11-23 01:31:54,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3910915Z [2022-11-23 01:31:54,375] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3911160Z [2022-11-23 01:31:54,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3911393Z [2022-11-23 01:31:54,375] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3911650Z [2022-11-23 01:31:54,377] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3911895Z [2022-11-23 01:31:54,381] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3912081Z [2022-11-23 01:31:54,382] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3912214Z  __compiled_fn_505 <eval_with_key>.3109 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3912302Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3912375Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3912549Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3912670Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3912675Z 
2022-11-23T01:32:38.3912951Z [2022-11-23 01:31:54,382] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3913074Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3913164Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3913255Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3913344Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3913407Z               8 RETURN_VALUE
2022-11-23T01:32:38.3913412Z 
2022-11-23T01:32:38.3913471Z  
2022-11-23T01:32:38.3913750Z [2022-11-23 01:31:54,383] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3913856Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_505)
2022-11-23T01:32:38.3913944Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3914033Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3914108Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3914195Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3914270Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3914345Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3914435Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3914536Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3914640Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3914727Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3914801Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3914875Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3914948Z              26 RETURN_VALUE
2022-11-23T01:32:38.3914953Z 
2022-11-23T01:32:38.3915012Z  
2022-11-23T01:32:38.3915190Z [2022-11-23 01:31:54,384] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3915263Z  - 
2022-11-23T01:32:38.3915380Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3915442Z             {
2022-11-23T01:32:38.3915568Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3915752Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3915872Z                 'obj_weakref': None
2022-11-23T01:32:38.3916094Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3916158Z             }
2022-11-23T01:32:38.3916220Z             
2022-11-23T01:32:38.3916288Z  - 
2022-11-23T01:32:38.3916399Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3916462Z             {
2022-11-23T01:32:38.3916602Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3916707Z                 'code': None,
2022-11-23T01:32:38.3916913Z                 'obj_weakref': <weakref at 0x7f71c22072f0; to 'Tensor' at 0x7f7129ec8a10>
2022-11-23T01:32:38.3917297Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3917363Z             }
2022-11-23T01:32:38.3917412Z             
2022-11-23T01:32:38.3917483Z  - 
2022-11-23T01:32:38.3917605Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3917670Z             {
2022-11-23T01:32:38.3917810Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3917916Z                 'code': None,
2022-11-23T01:32:38.3918119Z                 'obj_weakref': <weakref at 0x7f71c2207e90; to 'Tensor' at 0x7f710676c5f0>
2022-11-23T01:32:38.3918354Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3918416Z             }
2022-11-23T01:32:38.3918478Z             
2022-11-23T01:32:38.3918547Z  - 
2022-11-23T01:32:38.3918675Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3918737Z             {
2022-11-23T01:32:38.3918869Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3919079Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3919197Z                 'obj_weakref': None
2022-11-23T01:32:38.3919425Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3919525Z             }
2022-11-23T01:32:38.3919587Z             
2022-11-23T01:32:38.3919655Z  - 
2022-11-23T01:32:38.3919776Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3919825Z             {
2022-11-23T01:32:38.3919960Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3920176Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3920293Z                 'obj_weakref': None
2022-11-23T01:32:38.3920513Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3920575Z             }
2022-11-23T01:32:38.3920635Z             
2022-11-23T01:32:38.3920886Z [2022-11-23 01:31:54,392] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 497
2022-11-23T01:32:38.3921255Z [2022-11-23 01:31:56,961] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lf/clfanwu2ao5duzkltqos62t2hoacigmv7kqi2o52kaipigw6xdvn.py
2022-11-23T01:32:38.3921519Z [2022-11-23 01:31:56,961] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 497
2022-11-23T01:32:38.3921527Z 
2022-11-23T01:32:38.3921619Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3921688Z import torch
2022-11-23T01:32:38.3921757Z import random
2022-11-23T01:32:38.3921871Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3921990Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3921996Z 
2022-11-23T01:32:38.3922061Z aten = torch.ops.aten
2022-11-23T01:32:38.3922194Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3922286Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3922293Z 
2022-11-23T01:32:38.3922297Z 
2022-11-23T01:32:38.3922430Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3922635Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3922752Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:32:38.3922851Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:32:38.3922945Z                        int* __restrict__ out_ptr0)
2022-11-23T01:32:38.3922993Z {
2022-11-23T01:32:38.3923088Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3923150Z     {
2022-11-23T01:32:38.3923226Z         #pragma omp for 
2022-11-23T01:32:38.3923309Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3923374Z         {
2022-11-23T01:32:38.3923436Z             {
2022-11-23T01:32:38.3923488Z                 {
2022-11-23T01:32:38.3923578Z                     auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.3923670Z                     auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.3923763Z                     auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3923846Z                     out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.3923913Z                 }
2022-11-23T01:32:38.3923974Z             }
2022-11-23T01:32:38.3924023Z         }
2022-11-23T01:32:38.3924084Z     }
2022-11-23T01:32:38.3924142Z }
2022-11-23T01:32:38.3924219Z ''')
2022-11-23T01:32:38.3924223Z 
2022-11-23T01:32:38.3924228Z 
2022-11-23T01:32:38.3924315Z async_compile.wait(globals())
2022-11-23T01:32:38.3924386Z del async_compile
2022-11-23T01:32:38.3924391Z 
2022-11-23T01:32:38.3924459Z def call(args):
2022-11-23T01:32:38.3924522Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3924592Z     args.clear()
2022-11-23T01:32:38.3924783Z     buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:38.3924945Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3925013Z     del arg0_1
2022-11-23T01:32:38.3925107Z     del arg1_1
2022-11-23T01:32:38.3925179Z     return (buf0, )
2022-11-23T01:32:38.3925184Z 
2022-11-23T01:32:38.3925188Z 
2022-11-23T01:32:38.3925250Z if __name__ == "__main__":
2022-11-23T01:32:38.3925361Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3925524Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3925716Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:38.3925904Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:38.3926018Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3926023Z 
2022-11-23T01:32:38.3926088Z ok (2.600s)
2022-11-23T01:32:38.3926421Z   test_cpu_int_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:56,976] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3926688Z [2022-11-23 01:31:56,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3926893Z [2022-11-23 01:31:56,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3927146Z [2022-11-23 01:31:56,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3927436Z [2022-11-23 01:31:56,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3927759Z [2022-11-23 01:31:56,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3928088Z [2022-11-23 01:31:56,977] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3928179Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3928268Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3928343Z               4 BINARY_ADD
2022-11-23T01:32:38.3928419Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3928503Z               8 RETURN_VALUE
2022-11-23T01:32:38.3928565Z  
2022-11-23T01:32:38.3928570Z 
2022-11-23T01:32:38.3928841Z [2022-11-23 01:31:56,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3929048Z [2022-11-23 01:31:56,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3929282Z [2022-11-23 01:31:56,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3929551Z [2022-11-23 01:31:56,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3929790Z [2022-11-23 01:31:56,981] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3930034Z [2022-11-23 01:31:56,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3930357Z [2022-11-23 01:31:56,982] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3930602Z [2022-11-23 01:31:56,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3930834Z [2022-11-23 01:31:56,982] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3931090Z [2022-11-23 01:31:56,984] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3931336Z [2022-11-23 01:31:56,992] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3931522Z [2022-11-23 01:31:56,993] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3931653Z  __compiled_fn_506 <eval_with_key>.3115 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3931742Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3931853Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3932030Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3932123Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3932128Z 
2022-11-23T01:32:38.3932428Z [2022-11-23 01:31:56,993] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3932523Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3932612Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3932704Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3932795Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3932857Z               8 RETURN_VALUE
2022-11-23T01:32:38.3932874Z 
2022-11-23T01:32:38.3932921Z  
2022-11-23T01:32:38.3933191Z [2022-11-23 01:31:56,994] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3933302Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_506)
2022-11-23T01:32:38.3933391Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3933477Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3933553Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3933641Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3933716Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3933791Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3933878Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3933981Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3934082Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3934168Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3934242Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3934316Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3934390Z              26 RETURN_VALUE
2022-11-23T01:32:38.3934397Z 
2022-11-23T01:32:38.3934459Z  
2022-11-23T01:32:38.3934639Z [2022-11-23 01:31:56,996] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3934707Z  - 
2022-11-23T01:32:38.3934824Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3934886Z             {
2022-11-23T01:32:38.3935015Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3935201Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3935318Z                 'obj_weakref': None
2022-11-23T01:32:38.3935540Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3935603Z             }
2022-11-23T01:32:38.3935664Z             
2022-11-23T01:32:38.3935731Z  - 
2022-11-23T01:32:38.3935841Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3935903Z             {
2022-11-23T01:32:38.3936042Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3936147Z                 'code': None,
2022-11-23T01:32:38.3936356Z                 'obj_weakref': <weakref at 0x7f710715bad0; to 'Tensor' at 0x7f710677b110>
2022-11-23T01:32:38.3936603Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3936666Z             }
2022-11-23T01:32:38.3936717Z             
2022-11-23T01:32:38.3936784Z  - 
2022-11-23T01:32:38.3936905Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3936967Z             {
2022-11-23T01:32:38.3937106Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3937210Z                 'code': None,
2022-11-23T01:32:38.3937413Z                 'obj_weakref': <weakref at 0x7f7106e10350; to 'Tensor' at 0x7f710677bcb0>
2022-11-23T01:32:38.3937645Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3937706Z             }
2022-11-23T01:32:38.3937768Z             
2022-11-23T01:32:38.3937835Z  - 
2022-11-23T01:32:38.3937992Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3938054Z             {
2022-11-23T01:32:38.3938187Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3938342Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3938483Z                 'obj_weakref': None
2022-11-23T01:32:38.3938712Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3938773Z             }
2022-11-23T01:32:38.3938835Z             
2022-11-23T01:32:38.3938902Z  - 
2022-11-23T01:32:38.3939021Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3939070Z             {
2022-11-23T01:32:38.3939202Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3939417Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3939533Z                 'obj_weakref': None
2022-11-23T01:32:38.3939749Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3939812Z             }
2022-11-23T01:32:38.3939873Z             
2022-11-23T01:32:38.3940119Z [2022-11-23 01:31:57,008] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 498
2022-11-23T01:32:38.3940491Z [2022-11-23 01:31:59,634] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fj/cfjpewkrtc46egwqwfcc5fqyspertmx2ebwmgkmtpa3tqvhpqjh6.py
2022-11-23T01:32:38.3940752Z [2022-11-23 01:31:59,635] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 498
2022-11-23T01:32:38.3940758Z 
2022-11-23T01:32:38.3940849Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3940920Z import torch
2022-11-23T01:32:38.3940987Z import random
2022-11-23T01:32:38.3941100Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3941219Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3941224Z 
2022-11-23T01:32:38.3941291Z aten = torch.ops.aten
2022-11-23T01:32:38.3941423Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3941513Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3941518Z 
2022-11-23T01:32:38.3941522Z 
2022-11-23T01:32:38.3941654Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3941858Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3941974Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:32:38.3942077Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3942175Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3942223Z {
2022-11-23T01:32:38.3942318Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3942378Z     {
2022-11-23T01:32:38.3942454Z         #pragma omp for 
2022-11-23T01:32:38.3942536Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3942597Z         {
2022-11-23T01:32:38.3942676Z             #pragma GCC ivdep
2022-11-23T01:32:38.3942751Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3942812Z             {
2022-11-23T01:32:38.3942875Z                 {
2022-11-23T01:32:38.3942940Z                     {
2022-11-23T01:32:38.3943034Z                         auto tmp0 = in_ptr0[i1];
2022-11-23T01:32:38.3943139Z                         auto tmp2 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T01:32:38.3943248Z                         auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:38.3943327Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:38.3943421Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:38.3943485Z                     }
2022-11-23T01:32:38.3943548Z                 }
2022-11-23T01:32:38.3943610Z             }
2022-11-23T01:32:38.3943670Z         }
2022-11-23T01:32:38.3943731Z     }
2022-11-23T01:32:38.3943778Z }
2022-11-23T01:32:38.3943853Z ''')
2022-11-23T01:32:38.3943858Z 
2022-11-23T01:32:38.3943862Z 
2022-11-23T01:32:38.3943949Z async_compile.wait(globals())
2022-11-23T01:32:38.3944049Z del async_compile
2022-11-23T01:32:38.3944054Z 
2022-11-23T01:32:38.3944122Z def call(args):
2022-11-23T01:32:38.3944196Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3944266Z     args.clear()
2022-11-23T01:32:38.3944569Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3944736Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3944803Z     del arg0_1
2022-11-23T01:32:38.3944870Z     del arg1_1
2022-11-23T01:32:38.3944941Z     return (buf0, )
2022-11-23T01:32:38.3944946Z 
2022-11-23T01:32:38.3944949Z 
2022-11-23T01:32:38.3945025Z if __name__ == "__main__":
2022-11-23T01:32:38.3945138Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3945259Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3945440Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:38.3945640Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3945755Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3945760Z 
2022-11-23T01:32:38.3945825Z ok (2.675s)
2022-11-23T01:32:38.3946167Z   test_cpu_int_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:31:59,651] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3946436Z [2022-11-23 01:31:59,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3946652Z [2022-11-23 01:31:59,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3946903Z [2022-11-23 01:31:59,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3947187Z [2022-11-23 01:31:59,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3947505Z [2022-11-23 01:31:59,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3947836Z [2022-11-23 01:31:59,652] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3947928Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3948018Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3948090Z               4 BINARY_ADD
2022-11-23T01:32:38.3948177Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3948251Z               8 RETURN_VALUE
2022-11-23T01:32:38.3948299Z  
2022-11-23T01:32:38.3948317Z 
2022-11-23T01:32:38.3948570Z [2022-11-23 01:31:59,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3948777Z [2022-11-23 01:31:59,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3949023Z [2022-11-23 01:31:59,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3949294Z [2022-11-23 01:31:59,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3949533Z [2022-11-23 01:31:59,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3949775Z [2022-11-23 01:31:59,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3950108Z [2022-11-23 01:31:59,656] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3950351Z [2022-11-23 01:31:59,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3950584Z [2022-11-23 01:31:59,656] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3950857Z [2022-11-23 01:31:59,658] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3951103Z [2022-11-23 01:31:59,666] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3951317Z [2022-11-23 01:31:59,667] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3951451Z  __compiled_fn_507 <eval_with_key>.3121 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3951540Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3951626Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3951804Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3951896Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3951902Z 
2022-11-23T01:32:38.3952164Z [2022-11-23 01:31:59,667] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3952255Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3952346Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3952437Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3952526Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3952601Z               8 RETURN_VALUE
2022-11-23T01:32:38.3952606Z 
2022-11-23T01:32:38.3952667Z  
2022-11-23T01:32:38.3952935Z [2022-11-23 01:31:59,668] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3953030Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_507)
2022-11-23T01:32:38.3953118Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3953206Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3953281Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3953366Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3953451Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3953525Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3953604Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3953707Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3953808Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3953894Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3953973Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3954061Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3954135Z              26 RETURN_VALUE
2022-11-23T01:32:38.3954140Z 
2022-11-23T01:32:38.3954186Z  
2022-11-23T01:32:38.3954366Z [2022-11-23 01:31:59,669] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3954434Z  - 
2022-11-23T01:32:38.3954552Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3954615Z             {
2022-11-23T01:32:38.3954752Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3954937Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3955046Z                 'obj_weakref': None
2022-11-23T01:32:38.3955267Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3955330Z             }
2022-11-23T01:32:38.3955393Z             
2022-11-23T01:32:38.3955461Z  - 
2022-11-23T01:32:38.3955587Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3955649Z             {
2022-11-23T01:32:38.3955777Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3955882Z                 'code': None,
2022-11-23T01:32:38.3956088Z                 'obj_weakref': <weakref at 0x7f71068f7e30; to 'Tensor' at 0x7f70f2de6b90>
2022-11-23T01:32:38.3956335Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3956397Z             }
2022-11-23T01:32:38.3956460Z             
2022-11-23T01:32:38.3956527Z  - 
2022-11-23T01:32:38.3956635Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3956696Z             {
2022-11-23T01:32:38.3956867Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3956972Z                 'code': None,
2022-11-23T01:32:38.3957307Z                 'obj_weakref': <weakref at 0x7f710627c3b0; to 'Tensor' at 0x7f71068f7a70>
2022-11-23T01:32:38.3957604Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3957667Z             }
2022-11-23T01:32:38.3957716Z             
2022-11-23T01:32:38.3957785Z  - 
2022-11-23T01:32:38.3957914Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3957976Z             {
2022-11-23T01:32:38.3958107Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3958275Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3958392Z                 'obj_weakref': None
2022-11-23T01:32:38.3958606Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3958671Z             }
2022-11-23T01:32:38.3958736Z             
2022-11-23T01:32:38.3958804Z  - 
2022-11-23T01:32:38.3958922Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3958984Z             {
2022-11-23T01:32:38.3959119Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3959324Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3959440Z                 'obj_weakref': None
2022-11-23T01:32:38.3959656Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3959720Z             }
2022-11-23T01:32:38.3959783Z             
2022-11-23T01:32:38.3960041Z [2022-11-23 01:31:59,681] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 499
2022-11-23T01:32:38.3960414Z [2022-11-23 01:32:02,488] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pz/cpz7bzkublrcwktvgfzsqab57dyr7uaaawlb7mgv4scpfelffcd3.py
2022-11-23T01:32:38.3960678Z [2022-11-23 01:32:02,489] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 499
2022-11-23T01:32:38.3960684Z 
2022-11-23T01:32:38.3960775Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3960831Z import torch
2022-11-23T01:32:38.3960898Z import random
2022-11-23T01:32:38.3961014Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3961134Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3961139Z 
2022-11-23T01:32:38.3961218Z aten = torch.ops.aten
2022-11-23T01:32:38.3961352Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3961445Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3961450Z 
2022-11-23T01:32:38.3961455Z 
2022-11-23T01:32:38.3961576Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3961779Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3961894Z extern "C" void kernel(const int* __restrict__ in_ptr0,
2022-11-23T01:32:38.3962003Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3962102Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3962161Z {
2022-11-23T01:32:38.3962258Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3962307Z     {
2022-11-23T01:32:38.3962384Z         #pragma omp for 
2022-11-23T01:32:38.3962468Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3962534Z         {
2022-11-23T01:32:38.3962613Z             #pragma GCC ivdep
2022-11-23T01:32:38.3962697Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3962759Z             {
2022-11-23T01:32:38.3962810Z                 {
2022-11-23T01:32:38.3962876Z                     {
2022-11-23T01:32:38.3962972Z                         auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.3963074Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:38.3963182Z                         auto tmp1 = static_cast<float>(tmp0);
2022-11-23T01:32:38.3963321Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:38.3963416Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:38.3963469Z                     }
2022-11-23T01:32:38.3963531Z                 }
2022-11-23T01:32:38.3963595Z             }
2022-11-23T01:32:38.3963689Z         }
2022-11-23T01:32:38.3963750Z     }
2022-11-23T01:32:38.3963809Z }
2022-11-23T01:32:38.3963892Z ''')
2022-11-23T01:32:38.3963896Z 
2022-11-23T01:32:38.3963900Z 
2022-11-23T01:32:38.3963977Z async_compile.wait(globals())
2022-11-23T01:32:38.3964048Z del async_compile
2022-11-23T01:32:38.3964053Z 
2022-11-23T01:32:38.3964123Z def call(args):
2022-11-23T01:32:38.3964200Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3964274Z     args.clear()
2022-11-23T01:32:38.3964473Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3964637Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3964695Z     del arg0_1
2022-11-23T01:32:38.3964760Z     del arg1_1
2022-11-23T01:32:38.3964832Z     return (buf0, )
2022-11-23T01:32:38.3964837Z 
2022-11-23T01:32:38.3964841Z 
2022-11-23T01:32:38.3964916Z if __name__ == "__main__":
2022-11-23T01:32:38.3965029Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3965151Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3965339Z     arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:38.3965535Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3965635Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3965652Z 
2022-11-23T01:32:38.3965705Z ok (2.854s)
2022-11-23T01:32:38.3966049Z   test_cpu_strided_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:02,506] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3966318Z [2022-11-23 01:32:02,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3966536Z [2022-11-23 01:32:02,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3966789Z [2022-11-23 01:32:02,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3967073Z [2022-11-23 01:32:02,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3967394Z [2022-11-23 01:32:02,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3967720Z [2022-11-23 01:32:02,507] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3967810Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3967887Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3967962Z               4 BINARY_ADD
2022-11-23T01:32:38.3968050Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3968123Z               8 RETURN_VALUE
2022-11-23T01:32:38.3968187Z  
2022-11-23T01:32:38.3968192Z 
2022-11-23T01:32:38.3968460Z [2022-11-23 01:32:02,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3968667Z [2022-11-23 01:32:02,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3968889Z [2022-11-23 01:32:02,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3969160Z [2022-11-23 01:32:02,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3969398Z [2022-11-23 01:32:02,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3969642Z [2022-11-23 01:32:02,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3970001Z [2022-11-23 01:32:02,512] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3970323Z [2022-11-23 01:32:02,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3970558Z [2022-11-23 01:32:02,512] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3970807Z [2022-11-23 01:32:02,515] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3971053Z [2022-11-23 01:32:02,523] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3971240Z [2022-11-23 01:32:02,524] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3971361Z  __compiled_fn_508 <eval_with_key>.3127 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3971451Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3971539Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3971714Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3971810Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3971815Z 
2022-11-23T01:32:38.3972092Z [2022-11-23 01:32:02,524] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3972184Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3972274Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3972354Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3972444Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3972522Z               8 RETURN_VALUE
2022-11-23T01:32:38.3972527Z 
2022-11-23T01:32:38.3972587Z  
2022-11-23T01:32:38.3972862Z [2022-11-23 01:32:02,525] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3972972Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_508)
2022-11-23T01:32:38.3973059Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3973136Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3973210Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3973299Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3973385Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3973460Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3973547Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3973647Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3973735Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3973823Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3973897Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3973983Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3974060Z              26 RETURN_VALUE
2022-11-23T01:32:38.3974065Z 
2022-11-23T01:32:38.3974124Z  
2022-11-23T01:32:38.3974303Z [2022-11-23 01:32:02,527] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3974370Z  - 
2022-11-23T01:32:38.3974474Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3974537Z             {
2022-11-23T01:32:38.3974676Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3974860Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3974978Z                 'obj_weakref': None
2022-11-23T01:32:38.3975199Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3975262Z             }
2022-11-23T01:32:38.3975312Z             
2022-11-23T01:32:38.3975379Z  - 
2022-11-23T01:32:38.3975501Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3975563Z             {
2022-11-23T01:32:38.3975702Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3975837Z                 'code': None,
2022-11-23T01:32:38.3976030Z                 'obj_weakref': <weakref at 0x7f71c2207e30; to 'Tensor' at 0x7f710627c1d0>
2022-11-23T01:32:38.3976275Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3976362Z             }
2022-11-23T01:32:38.3976425Z             
2022-11-23T01:32:38.3976492Z  - 
2022-11-23T01:32:38.3976612Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3976674Z             {
2022-11-23T01:32:38.3976803Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3976907Z                 'code': None,
2022-11-23T01:32:38.3977111Z                 'obj_weakref': <weakref at 0x7f70f109f1d0; to 'Tensor' at 0x7f710627c170>
2022-11-23T01:32:38.3977358Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3977422Z             }
2022-11-23T01:32:38.3977484Z             
2022-11-23T01:32:38.3977553Z  - 
2022-11-23T01:32:38.3977682Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3977732Z             {
2022-11-23T01:32:38.3977863Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3978029Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3978147Z                 'obj_weakref': None
2022-11-23T01:32:38.3978372Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3978434Z             }
2022-11-23T01:32:38.3978495Z             
2022-11-23T01:32:38.3978551Z  - 
2022-11-23T01:32:38.3978669Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3978731Z             {
2022-11-23T01:32:38.3978865Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3979080Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3979196Z                 'obj_weakref': None
2022-11-23T01:32:38.3979414Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3979464Z             }
2022-11-23T01:32:38.3979524Z             
2022-11-23T01:32:38.3979782Z [2022-11-23 01:32:02,540] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 500
2022-11-23T01:32:38.3980150Z [2022-11-23 01:32:05,266] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jw/cjwiccmaw2vzzqsj52u36mtcetmcmbhbofp2lzlhhsnugsvvfsa2.py
2022-11-23T01:32:38.3980409Z [2022-11-23 01:32:05,267] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 500
2022-11-23T01:32:38.3980415Z 
2022-11-23T01:32:38.3980506Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.3980574Z import torch
2022-11-23T01:32:38.3980641Z import random
2022-11-23T01:32:38.3980742Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.3980859Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.3980867Z 
2022-11-23T01:32:38.3980946Z aten = torch.ops.aten
2022-11-23T01:32:38.3981080Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.3981170Z async_compile = AsyncCompile()
2022-11-23T01:32:38.3981175Z 
2022-11-23T01:32:38.3981180Z 
2022-11-23T01:32:38.3981313Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.3981517Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.3981636Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.3981723Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.3981819Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.3981880Z {
2022-11-23T01:32:38.3981980Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.3982041Z     {
2022-11-23T01:32:38.3982116Z         #pragma omp for 
2022-11-23T01:32:38.3982197Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.3982248Z         {
2022-11-23T01:32:38.3982354Z             #pragma GCC ivdep
2022-11-23T01:32:38.3982439Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.3982503Z             {
2022-11-23T01:32:38.3982568Z                 {
2022-11-23T01:32:38.3982633Z                     {
2022-11-23T01:32:38.3982754Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T01:32:38.3982848Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:38.3982941Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.3983035Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:38.3983102Z                     }
2022-11-23T01:32:38.3983166Z                 }
2022-11-23T01:32:38.3983227Z             }
2022-11-23T01:32:38.3983277Z         }
2022-11-23T01:32:38.3983337Z     }
2022-11-23T01:32:38.3983396Z }
2022-11-23T01:32:38.3983472Z ''')
2022-11-23T01:32:38.3983477Z 
2022-11-23T01:32:38.3983482Z 
2022-11-23T01:32:38.3983573Z async_compile.wait(globals())
2022-11-23T01:32:38.3983647Z del async_compile
2022-11-23T01:32:38.3983652Z 
2022-11-23T01:32:38.3983722Z def call(args):
2022-11-23T01:32:38.3983784Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.3983854Z     args.clear()
2022-11-23T01:32:38.3984052Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3984214Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.3984281Z     del arg0_1
2022-11-23T01:32:38.3984351Z     del arg1_1
2022-11-23T01:32:38.3984421Z     return (buf0, )
2022-11-23T01:32:38.3984425Z 
2022-11-23T01:32:38.3984429Z 
2022-11-23T01:32:38.3984592Z if __name__ == "__main__":
2022-11-23T01:32:38.3984694Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.3984815Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.3985018Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3985209Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.3985325Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.3985330Z 
2022-11-23T01:32:38.3985395Z ok (2.777s)
2022-11-23T01:32:38.3985741Z   test_cpu_strided_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:05,283] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.3986012Z [2022-11-23 01:32:05,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.3986216Z [2022-11-23 01:32:05,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.3986467Z [2022-11-23 01:32:05,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.3986756Z [2022-11-23 01:32:05,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.3987079Z [2022-11-23 01:32:05,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.3987409Z [2022-11-23 01:32:05,284] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.3987503Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.3987593Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.3987670Z               4 BINARY_ADD
2022-11-23T01:32:38.3987758Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.3987822Z               8 RETURN_VALUE
2022-11-23T01:32:38.3987882Z  
2022-11-23T01:32:38.3987887Z 
2022-11-23T01:32:38.3988152Z [2022-11-23 01:32:05,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.3988359Z [2022-11-23 01:32:05,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.3988596Z [2022-11-23 01:32:05,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.3988904Z [2022-11-23 01:32:05,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.3989170Z [2022-11-23 01:32:05,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.3989414Z [2022-11-23 01:32:05,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3989744Z [2022-11-23 01:32:05,289] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.3989973Z [2022-11-23 01:32:05,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.3990208Z [2022-11-23 01:32:05,290] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.3990459Z [2022-11-23 01:32:05,292] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.3990707Z [2022-11-23 01:32:05,300] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.3990896Z [2022-11-23 01:32:05,300] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.3991028Z  __compiled_fn_509 <eval_with_key>.3133 opcode, name, target, args, kwargs
2022-11-23T01:32:38.3991117Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.3991202Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.3991368Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.3991461Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.3991466Z 
2022-11-23T01:32:38.3991741Z [2022-11-23 01:32:05,301] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3991835Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.3991927Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3992018Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.3992106Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.3992182Z               8 RETURN_VALUE
2022-11-23T01:32:38.3992187Z 
2022-11-23T01:32:38.3992234Z  
2022-11-23T01:32:38.3992507Z [2022-11-23 01:32:05,301] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.3992615Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_509)
2022-11-23T01:32:38.3992703Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3992793Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3992869Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.3992960Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.3993034Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.3993107Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.3993195Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.3993297Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.3993396Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.3993482Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.3993559Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.3993645Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.3993707Z              26 RETURN_VALUE
2022-11-23T01:32:38.3993712Z 
2022-11-23T01:32:38.3993770Z  
2022-11-23T01:32:38.3993952Z [2022-11-23 01:32:05,303] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.3994020Z  - 
2022-11-23T01:32:38.3994136Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.3994199Z             {
2022-11-23T01:32:38.3994337Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.3994510Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.3994631Z                 'obj_weakref': None
2022-11-23T01:32:38.3994881Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.3994945Z             }
2022-11-23T01:32:38.3995006Z             
2022-11-23T01:32:38.3995074Z  - 
2022-11-23T01:32:38.3995196Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.3995272Z             {
2022-11-23T01:32:38.3995413Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3995519Z                 'code': None,
2022-11-23T01:32:38.3995724Z                 'obj_weakref': <weakref at 0x7f70f2c63950; to 'Tensor' at 0x7f71066817d0>
2022-11-23T01:32:38.3995970Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3996032Z             }
2022-11-23T01:32:38.3996095Z             
2022-11-23T01:32:38.3996150Z  - 
2022-11-23T01:32:38.3996270Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.3996332Z             {
2022-11-23T01:32:38.3996476Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.3996581Z                 'code': None,
2022-11-23T01:32:38.3996786Z                 'obj_weakref': <weakref at 0x7f70f2c588f0; to 'Tensor' at 0x7f7106681e90>
2022-11-23T01:32:38.3997034Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.3997084Z             }
2022-11-23T01:32:38.3997291Z             
2022-11-23T01:32:38.3997360Z  - 
2022-11-23T01:32:38.3997492Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.3997555Z             {
2022-11-23T01:32:38.3997688Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.3997855Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.3997960Z                 'obj_weakref': None
2022-11-23T01:32:38.3998185Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.3998250Z             }
2022-11-23T01:32:38.3998315Z             
2022-11-23T01:32:38.3998384Z  - 
2022-11-23T01:32:38.3998503Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.3998566Z             {
2022-11-23T01:32:38.3998688Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.3998910Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.3999029Z                 'obj_weakref': None
2022-11-23T01:32:38.3999248Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.3999311Z             }
2022-11-23T01:32:38.3999372Z             
2022-11-23T01:32:38.3999629Z [2022-11-23 01:32:05,316] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 501
2022-11-23T01:32:38.3999979Z [2022-11-23 01:32:07,884] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eb/cebf66xogrz7jkp5wi5yvpbsuvv6u6sv7m2v7rs4xj63yexr43i2.py
2022-11-23T01:32:38.4000245Z [2022-11-23 01:32:07,885] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 501
2022-11-23T01:32:38.4000253Z 
2022-11-23T01:32:38.4000344Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.4000416Z import torch
2022-11-23T01:32:38.4000484Z import random
2022-11-23T01:32:38.4000600Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.4000719Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.4000724Z 
2022-11-23T01:32:38.4000804Z aten = torch.ops.aten
2022-11-23T01:32:38.4000924Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.4001015Z async_compile = AsyncCompile()
2022-11-23T01:32:38.4001021Z 
2022-11-23T01:32:38.4001025Z 
2022-11-23T01:32:38.4001158Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.4001364Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.4001482Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.4001639Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.4001736Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.4001795Z {
2022-11-23T01:32:38.4001882Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.4001942Z     {
2022-11-23T01:32:38.4002052Z         #pragma omp for 
2022-11-23T01:32:38.4002135Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.4002200Z         {
2022-11-23T01:32:38.4002281Z             #pragma GCC ivdep
2022-11-23T01:32:38.4002365Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.4002415Z             {
2022-11-23T01:32:38.4002479Z                 {
2022-11-23T01:32:38.4002545Z                     {
2022-11-23T01:32:38.4002650Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T01:32:38.4002744Z                         auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.4002835Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.4002930Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:38.4002986Z                     }
2022-11-23T01:32:38.4003049Z                 }
2022-11-23T01:32:38.4003113Z             }
2022-11-23T01:32:38.4003178Z         }
2022-11-23T01:32:38.4003240Z     }
2022-11-23T01:32:38.4003298Z }
2022-11-23T01:32:38.4003363Z ''')
2022-11-23T01:32:38.4003370Z 
2022-11-23T01:32:38.4003386Z 
2022-11-23T01:32:38.4003462Z async_compile.wait(globals())
2022-11-23T01:32:38.4003533Z del async_compile
2022-11-23T01:32:38.4003537Z 
2022-11-23T01:32:38.4003608Z def call(args):
2022-11-23T01:32:38.4003683Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.4003753Z     args.clear()
2022-11-23T01:32:38.4003961Z     buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4004122Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.4004178Z     del arg0_1
2022-11-23T01:32:38.4004242Z     del arg1_1
2022-11-23T01:32:38.4004314Z     return (buf0, )
2022-11-23T01:32:38.4004321Z 
2022-11-23T01:32:38.4004325Z 
2022-11-23T01:32:38.4004400Z if __name__ == "__main__":
2022-11-23T01:32:38.4004519Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.4004639Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.4004839Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4005045Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4005145Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.4005150Z 
2022-11-23T01:32:38.4005216Z ok (2.618s)
2022-11-23T01:32:38.4005556Z   test_cpu_strided_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:07,901] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.4005824Z [2022-11-23 01:32:07,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.4006041Z [2022-11-23 01:32:07,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.4006291Z [2022-11-23 01:32:07,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.4006577Z [2022-11-23 01:32:07,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.4006900Z [2022-11-23 01:32:07,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.4007230Z [2022-11-23 01:32:07,902] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.4007311Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.4007400Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.4007473Z               4 BINARY_ADD
2022-11-23T01:32:38.4007588Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.4007662Z               8 RETURN_VALUE
2022-11-23T01:32:38.4007724Z  
2022-11-23T01:32:38.4007729Z 
2022-11-23T01:32:38.4007996Z [2022-11-23 01:32:07,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.4008229Z [2022-11-23 01:32:07,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.4008454Z [2022-11-23 01:32:07,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.4008724Z [2022-11-23 01:32:07,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.4008963Z [2022-11-23 01:32:07,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.4009209Z [2022-11-23 01:32:07,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4009544Z [2022-11-23 01:32:07,906] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.4009789Z [2022-11-23 01:32:07,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4010023Z [2022-11-23 01:32:07,906] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.4010274Z [2022-11-23 01:32:07,908] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.4010521Z [2022-11-23 01:32:07,916] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.4010694Z [2022-11-23 01:32:07,917] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.4010826Z  __compiled_fn_510 <eval_with_key>.3139 opcode, name, target, args, kwargs
2022-11-23T01:32:38.4010914Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.4011001Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.4011180Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.4011274Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.4011279Z 
2022-11-23T01:32:38.4011553Z [2022-11-23 01:32:07,918] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4011645Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.4011722Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4011813Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.4011904Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.4011979Z               8 RETURN_VALUE
2022-11-23T01:32:38.4011984Z 
2022-11-23T01:32:38.4012043Z  
2022-11-23T01:32:38.4012313Z [2022-11-23 01:32:07,918] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4012419Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_510)
2022-11-23T01:32:38.4012509Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4012585Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4012660Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.4012746Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4012836Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.4012910Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.4012997Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.4013100Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.4013188Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.4013276Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4013353Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.4013438Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.4013512Z              26 RETURN_VALUE
2022-11-23T01:32:38.4013518Z 
2022-11-23T01:32:38.4013576Z  
2022-11-23T01:32:38.4013786Z [2022-11-23 01:32:07,920] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.4013841Z  - 
2022-11-23T01:32:38.4013959Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.4014022Z             {
2022-11-23T01:32:38.4014159Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.4014393Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.4014513Z                 'obj_weakref': None
2022-11-23T01:32:38.4014735Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.4014786Z             }
2022-11-23T01:32:38.4014848Z             
2022-11-23T01:32:38.4014917Z  - 
2022-11-23T01:32:38.4015039Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.4015101Z             {
2022-11-23T01:32:38.4015240Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4015345Z                 'code': None,
2022-11-23T01:32:38.4015539Z                 'obj_weakref': <weakref at 0x7f70f2c63470; to 'Tensor' at 0x7f7106e61590>
2022-11-23T01:32:38.4015787Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4015849Z             }
2022-11-23T01:32:38.4015911Z             
2022-11-23T01:32:38.4015980Z  - 
2022-11-23T01:32:38.4016103Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.4016165Z             {
2022-11-23T01:32:38.4016293Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4016399Z                 'code': None,
2022-11-23T01:32:38.4016602Z                 'obj_weakref': <weakref at 0x7f71060e77d0; to 'Tensor' at 0x7f7106e61a70>
2022-11-23T01:32:38.4016847Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4016910Z             }
2022-11-23T01:32:38.4016971Z             
2022-11-23T01:32:38.4017037Z  - 
2022-11-23T01:32:38.4017154Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.4017217Z             {
2022-11-23T01:32:38.4017349Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.4017516Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.4017633Z                 'obj_weakref': None
2022-11-23T01:32:38.4017860Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.4017922Z             }
2022-11-23T01:32:38.4017972Z             
2022-11-23T01:32:38.4018039Z  - 
2022-11-23T01:32:38.4018159Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.4018221Z             {
2022-11-23T01:32:38.4018354Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.4018565Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.4018684Z                 'obj_weakref': None
2022-11-23T01:32:38.4018887Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.4018952Z             }
2022-11-23T01:32:38.4019013Z             
2022-11-23T01:32:38.4019274Z [2022-11-23 01:32:07,931] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 502
2022-11-23T01:32:38.4019641Z [2022-11-23 01:32:10,713] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4k/c4k3iifdl27u2uvh56jpszqgbwouun6brgonvog2wrph3bsxkakf.py
2022-11-23T01:32:38.4019904Z [2022-11-23 01:32:10,713] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 502
2022-11-23T01:32:38.4019910Z 
2022-11-23T01:32:38.4020002Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.4020070Z import torch
2022-11-23T01:32:38.4020125Z import random
2022-11-23T01:32:38.4020239Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.4020359Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.4020364Z 
2022-11-23T01:32:38.4020441Z aten = torch.ops.aten
2022-11-23T01:32:38.4020604Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.4020694Z async_compile = AsyncCompile()
2022-11-23T01:32:38.4020699Z 
2022-11-23T01:32:38.4020703Z 
2022-11-23T01:32:38.4020834Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.4021065Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.4021172Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.4021274Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.4021373Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.4021434Z {
2022-11-23T01:32:38.4021529Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.4021592Z     {
2022-11-23T01:32:38.4021668Z         #pragma omp for 
2022-11-23T01:32:38.4021737Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.4021799Z         {
2022-11-23T01:32:38.4021878Z             #pragma GCC ivdep
2022-11-23T01:32:38.4021962Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.4022027Z             {
2022-11-23T01:32:38.4022093Z                 {
2022-11-23T01:32:38.4022159Z                     {
2022-11-23T01:32:38.4022251Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T01:32:38.4022345Z                         auto tmp1 = in_ptr1[0];
2022-11-23T01:32:38.4022438Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.4022533Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:38.4022600Z                     }
2022-11-23T01:32:38.4022663Z                 }
2022-11-23T01:32:38.4022729Z             }
2022-11-23T01:32:38.4022779Z         }
2022-11-23T01:32:38.4022838Z     }
2022-11-23T01:32:38.4022897Z }
2022-11-23T01:32:38.4022973Z ''')
2022-11-23T01:32:38.4022980Z 
2022-11-23T01:32:38.4022984Z 
2022-11-23T01:32:38.4023072Z async_compile.wait(globals())
2022-11-23T01:32:38.4023143Z del async_compile
2022-11-23T01:32:38.4023148Z 
2022-11-23T01:32:38.4023216Z def call(args):
2022-11-23T01:32:38.4023281Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.4023350Z     args.clear()
2022-11-23T01:32:38.4023548Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4023714Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.4023781Z     del arg0_1
2022-11-23T01:32:38.4023848Z     del arg1_1
2022-11-23T01:32:38.4023917Z     return (buf0, )
2022-11-23T01:32:38.4023921Z 
2022-11-23T01:32:38.4023925Z 
2022-11-23T01:32:38.4023990Z if __name__ == "__main__":
2022-11-23T01:32:38.4024103Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.4024224Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.4024422Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4024732Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4024845Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.4024853Z 
2022-11-23T01:32:38.4024918Z ok (2.828s)
2022-11-23T01:32:38.4025254Z   test_cpu_strided_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:10,729] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.4025526Z [2022-11-23 01:32:10,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.4025730Z [2022-11-23 01:32:10,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.4025983Z [2022-11-23 01:32:10,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.4026269Z [2022-11-23 01:32:10,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.4026588Z [2022-11-23 01:32:10,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.4026955Z [2022-11-23 01:32:10,730] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.4027045Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.4027162Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.4027235Z               4 BINARY_ADD
2022-11-23T01:32:38.4027313Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.4027388Z               8 RETURN_VALUE
2022-11-23T01:32:38.4027447Z  
2022-11-23T01:32:38.4027452Z 
2022-11-23T01:32:38.4027715Z [2022-11-23 01:32:10,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.4027921Z [2022-11-23 01:32:10,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.4028155Z [2022-11-23 01:32:10,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.4028427Z [2022-11-23 01:32:10,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.4028667Z [2022-11-23 01:32:10,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.4028912Z [2022-11-23 01:32:10,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4029230Z [2022-11-23 01:32:10,734] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.4029473Z [2022-11-23 01:32:10,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4029707Z [2022-11-23 01:32:10,734] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.4029962Z [2022-11-23 01:32:10,736] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.4030211Z [2022-11-23 01:32:10,744] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.4030398Z [2022-11-23 01:32:10,745] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.4030533Z  __compiled_fn_511 <eval_with_key>.3145 opcode, name, target, args, kwargs
2022-11-23T01:32:38.4030621Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.4030696Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.4030870Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.4030964Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.4030969Z 
2022-11-23T01:32:38.4031243Z [2022-11-23 01:32:10,746] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4031335Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.4031423Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4031515Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.4031606Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.4031669Z               8 RETURN_VALUE
2022-11-23T01:32:38.4031686Z 
2022-11-23T01:32:38.4031734Z  
2022-11-23T01:32:38.4032007Z [2022-11-23 01:32:10,746] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4032115Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_511)
2022-11-23T01:32:38.4032203Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4032292Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4032367Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.4032454Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4032527Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.4032601Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.4032688Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.4032789Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.4032918Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.4033005Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4033080Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.4033154Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.4033257Z              26 RETURN_VALUE
2022-11-23T01:32:38.4033263Z 
2022-11-23T01:32:38.4033322Z  
2022-11-23T01:32:38.4033503Z [2022-11-23 01:32:10,748] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.4033570Z  - 
2022-11-23T01:32:38.4033687Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.4033750Z             {
2022-11-23T01:32:38.4033876Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.4034063Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.4034180Z                 'obj_weakref': None
2022-11-23T01:32:38.4034400Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.4034468Z             }
2022-11-23T01:32:38.4034529Z             
2022-11-23T01:32:38.4034599Z  - 
2022-11-23T01:32:38.4034709Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.4034771Z             {
2022-11-23T01:32:38.4034913Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4035020Z                 'code': None,
2022-11-23T01:32:38.4035226Z                 'obj_weakref': <weakref at 0x7f71060e78f0; to 'Tensor' at 0x7f7141277050>
2022-11-23T01:32:38.4035469Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4035532Z             }
2022-11-23T01:32:38.4035581Z             
2022-11-23T01:32:38.4035649Z  - 
2022-11-23T01:32:38.4035770Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.4035831Z             {
2022-11-23T01:32:38.4035970Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4036079Z                 'code': None,
2022-11-23T01:32:38.4036285Z                 'obj_weakref': <weakref at 0x7f71070cb6b0; to 'Tensor' at 0x7f70f2956650>
2022-11-23T01:32:38.4036519Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4036583Z             }
2022-11-23T01:32:38.4036647Z             
2022-11-23T01:32:38.4036714Z  - 
2022-11-23T01:32:38.4036843Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.4036904Z             {
2022-11-23T01:32:38.4037034Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.4037319Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.4037439Z                 'obj_weakref': None
2022-11-23T01:32:38.4037666Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.4037730Z             }
2022-11-23T01:32:38.4037791Z             
2022-11-23T01:32:38.4037859Z  - 
2022-11-23T01:32:38.4037979Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.4038031Z             {
2022-11-23T01:32:38.4038165Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.4038381Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.4038498Z                 'obj_weakref': None
2022-11-23T01:32:38.4038714Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.4038778Z             }
2022-11-23T01:32:38.4038839Z             
2022-11-23T01:32:38.4039085Z [2022-11-23 01:32:10,760] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 503
2022-11-23T01:32:38.4039455Z [2022-11-23 01:32:13,466] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ql/cqlybksfph3rk6yogihakomgg6xcdqcdoy3xl75e7jq4s4jtsfks.py
2022-11-23T01:32:38.4039715Z [2022-11-23 01:32:13,467] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 503
2022-11-23T01:32:38.4039779Z 
2022-11-23T01:32:38.4039874Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.4039944Z import torch
2022-11-23T01:32:38.4040012Z import random
2022-11-23T01:32:38.4040125Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.4040247Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.4040285Z 
2022-11-23T01:32:38.4040351Z aten = torch.ops.aten
2022-11-23T01:32:38.4040483Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.4040576Z async_compile = AsyncCompile()
2022-11-23T01:32:38.4040582Z 
2022-11-23T01:32:38.4040587Z 
2022-11-23T01:32:38.4040720Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.4040924Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.4041043Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.4041144Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.4041245Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.4041292Z {
2022-11-23T01:32:38.4041390Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.4041453Z     {
2022-11-23T01:32:38.4041528Z         #pragma omp for 
2022-11-23T01:32:38.4041612Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.4041676Z         {
2022-11-23T01:32:38.4041754Z             #pragma GCC ivdep
2022-11-23T01:32:38.4041827Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.4041888Z             {
2022-11-23T01:32:38.4041950Z                 {
2022-11-23T01:32:38.4042018Z                     {
2022-11-23T01:32:38.4042122Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T01:32:38.4042223Z                         auto tmp1 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:38.4042315Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.4042398Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:38.4042463Z                     }
2022-11-23T01:32:38.4042529Z                 }
2022-11-23T01:32:38.4042593Z             }
2022-11-23T01:32:38.4042657Z         }
2022-11-23T01:32:38.4042716Z     }
2022-11-23T01:32:38.4042776Z }
2022-11-23T01:32:38.4042840Z ''')
2022-11-23T01:32:38.4042845Z 
2022-11-23T01:32:38.4042849Z 
2022-11-23T01:32:38.4042937Z async_compile.wait(globals())
2022-11-23T01:32:38.4043010Z del async_compile
2022-11-23T01:32:38.4043014Z 
2022-11-23T01:32:38.4043083Z def call(args):
2022-11-23T01:32:38.4043157Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.4043227Z     args.clear()
2022-11-23T01:32:38.4043423Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4043572Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.4043639Z     del arg0_1
2022-11-23T01:32:38.4043705Z     del arg1_1
2022-11-23T01:32:38.4043774Z     return (buf0, )
2022-11-23T01:32:38.4043778Z 
2022-11-23T01:32:38.4043782Z 
2022-11-23T01:32:38.4043859Z if __name__ == "__main__":
2022-11-23T01:32:38.4043974Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.4044093Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.4044291Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4044477Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4044591Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.4044596Z 
2022-11-23T01:32:38.4044660Z ok (2.753s)
2022-11-23T01:32:38.4044997Z   test_cpu_strided_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:13,522] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.4045265Z [2022-11-23 01:32:13,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.4045479Z [2022-11-23 01:32:13,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.4045762Z [2022-11-23 01:32:13,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.4046045Z [2022-11-23 01:32:13,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.4046401Z [2022-11-23 01:32:13,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.4046719Z [2022-11-23 01:32:13,523] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.4046810Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.4046898Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.4046971Z               4 BINARY_ADD
2022-11-23T01:32:38.4047058Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.4047133Z               8 RETURN_VALUE
2022-11-23T01:32:38.4047195Z  
2022-11-23T01:32:38.4047199Z 
2022-11-23T01:32:38.4047463Z [2022-11-23 01:32:13,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.4047658Z [2022-11-23 01:32:13,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.4047893Z [2022-11-23 01:32:13,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.4048164Z [2022-11-23 01:32:13,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.4048402Z [2022-11-23 01:32:13,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.4048643Z [2022-11-23 01:32:13,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4048974Z [2022-11-23 01:32:13,527] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.4049219Z [2022-11-23 01:32:13,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4049451Z [2022-11-23 01:32:13,527] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.4049703Z [2022-11-23 01:32:13,529] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.4049936Z [2022-11-23 01:32:13,537] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.4050122Z [2022-11-23 01:32:13,538] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.4050253Z  __compiled_fn_512 <eval_with_key>.3151 opcode, name, target, args, kwargs
2022-11-23T01:32:38.4050340Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.4050427Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.4050601Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.4050697Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.4050702Z 
2022-11-23T01:32:38.4050976Z [2022-11-23 01:32:13,538] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4051062Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.4051154Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4051246Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.4051336Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.4051411Z               8 RETURN_VALUE
2022-11-23T01:32:38.4051416Z 
2022-11-23T01:32:38.4051475Z  
2022-11-23T01:32:38.4051746Z [2022-11-23 01:32:13,538] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4051854Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_512)
2022-11-23T01:32:38.4051930Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4052049Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4052124Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.4052214Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4052299Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.4052372Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.4052486Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.4052577Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.4052677Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.4052763Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4052837Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.4052924Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.4052997Z              26 RETURN_VALUE
2022-11-23T01:32:38.4053002Z 
2022-11-23T01:32:38.4053061Z  
2022-11-23T01:32:38.4053231Z [2022-11-23 01:32:13,540] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.4053301Z  - 
2022-11-23T01:32:38.4053417Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.4053479Z             {
2022-11-23T01:32:38.4053616Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.4053802Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.4053921Z                 'obj_weakref': None
2022-11-23T01:32:38.4054131Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.4054194Z             }
2022-11-23T01:32:38.4054259Z             
2022-11-23T01:32:38.4054326Z  - 
2022-11-23T01:32:38.4054448Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.4054509Z             {
2022-11-23T01:32:38.4054648Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4054741Z                 'code': None,
2022-11-23T01:32:38.4054950Z                 'obj_weakref': <weakref at 0x7f70f10c62f0; to 'Tensor' at 0x7f70f2956c50>
2022-11-23T01:32:38.4055197Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4055261Z             }
2022-11-23T01:32:38.4055322Z             
2022-11-23T01:32:38.4055389Z  - 
2022-11-23T01:32:38.4055511Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.4055560Z             {
2022-11-23T01:32:38.4055701Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4055806Z                 'code': None,
2022-11-23T01:32:38.4056012Z                 'obj_weakref': <weakref at 0x7f70f2e097d0; to 'Tensor' at 0x7f70f2956650>
2022-11-23T01:32:38.4056258Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4056321Z             }
2022-11-23T01:32:38.4056381Z             
2022-11-23T01:32:38.4056435Z  - 
2022-11-23T01:32:38.4056563Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.4056625Z             {
2022-11-23T01:32:38.4056756Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.4056926Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.4057042Z                 'obj_weakref': None
2022-11-23T01:32:38.4057267Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.4057320Z             }
2022-11-23T01:32:38.4057382Z             
2022-11-23T01:32:38.4057449Z  - 
2022-11-23T01:32:38.4057570Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.4057633Z             {
2022-11-23T01:32:38.4057765Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.4057983Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.4058087Z                 'obj_weakref': None
2022-11-23T01:32:38.4058303Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.4058365Z             }
2022-11-23T01:32:38.4058426Z             
2022-11-23T01:32:38.4058712Z [2022-11-23 01:32:13,551] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 504
2022-11-23T01:32:38.4059081Z [2022-11-23 01:32:16,135] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sk/cske5sec2iwgtc2czlyjenjo5zu47juvowrrpirqnj5ozbo2taue.py
2022-11-23T01:32:38.4059384Z [2022-11-23 01:32:16,136] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 504
2022-11-23T01:32:38.4059390Z 
2022-11-23T01:32:38.4059483Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.4059538Z import torch
2022-11-23T01:32:38.4059604Z import random
2022-11-23T01:32:38.4059718Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.4059837Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.4059842Z 
2022-11-23T01:32:38.4059918Z aten = torch.ops.aten
2022-11-23T01:32:38.4060053Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.4060144Z async_compile = AsyncCompile()
2022-11-23T01:32:38.4060151Z 
2022-11-23T01:32:38.4060156Z 
2022-11-23T01:32:38.4060287Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.4060479Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.4060599Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.4060705Z                        const double* __restrict__ in_ptr1,
2022-11-23T01:32:38.4060804Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:38.4060863Z {
2022-11-23T01:32:38.4060959Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.4061018Z     {
2022-11-23T01:32:38.4061082Z         #pragma omp for 
2022-11-23T01:32:38.4061163Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.4061224Z         {
2022-11-23T01:32:38.4061303Z             #pragma GCC ivdep
2022-11-23T01:32:38.4061387Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.4061449Z             {
2022-11-23T01:32:38.4061512Z                 {
2022-11-23T01:32:38.4061568Z                     {
2022-11-23T01:32:38.4061672Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T01:32:38.4061773Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:38.4061881Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:32:38.4061977Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:38.4062071Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:38.4062135Z                     }
2022-11-23T01:32:38.4062187Z                 }
2022-11-23T01:32:38.4062249Z             }
2022-11-23T01:32:38.4062309Z         }
2022-11-23T01:32:38.4062371Z     }
2022-11-23T01:32:38.4062429Z }
2022-11-23T01:32:38.4062506Z ''')
2022-11-23T01:32:38.4062511Z 
2022-11-23T01:32:38.4062515Z 
2022-11-23T01:32:38.4062605Z async_compile.wait(globals())
2022-11-23T01:32:38.4062663Z del async_compile
2022-11-23T01:32:38.4062668Z 
2022-11-23T01:32:38.4062739Z def call(args):
2022-11-23T01:32:38.4062814Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.4062884Z     args.clear()
2022-11-23T01:32:38.4063082Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.4063243Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.4063312Z     del arg0_1
2022-11-23T01:32:38.4063365Z     del arg1_1
2022-11-23T01:32:38.4063437Z     return (buf0, )
2022-11-23T01:32:38.4063441Z 
2022-11-23T01:32:38.4063445Z 
2022-11-23T01:32:38.4063522Z if __name__ == "__main__":
2022-11-23T01:32:38.4063634Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.4063754Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.4063956Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4064151Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.4064264Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.4064300Z 
2022-11-23T01:32:38.4064365Z ok (2.669s)
2022-11-23T01:32:38.4064770Z   test_cpu_strided_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:16,152] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.4065076Z [2022-11-23 01:32:16,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.4065294Z [2022-11-23 01:32:16,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.4065545Z [2022-11-23 01:32:16,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.4065829Z [2022-11-23 01:32:16,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.4066154Z [2022-11-23 01:32:16,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.4066486Z [2022-11-23 01:32:16,153] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.4066576Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.4066668Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.4066729Z               4 BINARY_ADD
2022-11-23T01:32:38.4066817Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.4066892Z               8 RETURN_VALUE
2022-11-23T01:32:38.4066951Z  
2022-11-23T01:32:38.4066957Z 
2022-11-23T01:32:38.4067224Z [2022-11-23 01:32:16,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.4067429Z [2022-11-23 01:32:16,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.4067664Z [2022-11-23 01:32:16,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.4067938Z [2022-11-23 01:32:16,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.4068163Z [2022-11-23 01:32:16,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.4068410Z [2022-11-23 01:32:16,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4068744Z [2022-11-23 01:32:16,157] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.4068985Z [2022-11-23 01:32:16,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4069218Z [2022-11-23 01:32:16,157] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.4069470Z [2022-11-23 01:32:16,160] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.4069719Z [2022-11-23 01:32:16,168] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.4069904Z [2022-11-23 01:32:16,168] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.4070037Z  __compiled_fn_513 <eval_with_key>.3157 opcode, name, target, args, kwargs
2022-11-23T01:32:38.4070115Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.4070200Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.4070376Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.4070469Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.4070475Z 
2022-11-23T01:32:38.4070747Z [2022-11-23 01:32:16,169] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4070840Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.4070930Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4071021Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.4071160Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.4071235Z               8 RETURN_VALUE
2022-11-23T01:32:38.4071240Z 
2022-11-23T01:32:38.4071300Z  
2022-11-23T01:32:38.4071602Z [2022-11-23 01:32:16,169] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4071712Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_513)
2022-11-23T01:32:38.4071801Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4071889Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4071952Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.4072038Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4072126Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.4072200Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.4072288Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.4072390Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.4072494Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.4072569Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4072644Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.4072731Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.4072809Z              26 RETURN_VALUE
2022-11-23T01:32:38.4072814Z 
2022-11-23T01:32:38.4072874Z  
2022-11-23T01:32:38.4073055Z [2022-11-23 01:32:16,171] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.4073123Z  - 
2022-11-23T01:32:38.4073227Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.4073290Z             {
2022-11-23T01:32:38.4073428Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.4073611Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.4073727Z                 'obj_weakref': None
2022-11-23T01:32:38.4073950Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.4074016Z             }
2022-11-23T01:32:38.4074078Z             
2022-11-23T01:32:38.4074133Z  - 
2022-11-23T01:32:38.4074257Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.4074320Z             {
2022-11-23T01:32:38.4074462Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4074568Z                 'code': None,
2022-11-23T01:32:38.4074771Z                 'obj_weakref': <weakref at 0x7f71c4695410; to 'Tensor' at 0x7f7106681d70>
2022-11-23T01:32:38.4075017Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4075068Z             }
2022-11-23T01:32:38.4075129Z             
2022-11-23T01:32:38.4075200Z  - 
2022-11-23T01:32:38.4075324Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.4075389Z             {
2022-11-23T01:32:38.4075529Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4075621Z                 'code': None,
2022-11-23T01:32:38.4075827Z                 'obj_weakref': <weakref at 0x7f71c222f110; to 'Tensor' at 0x7f71068f7110>
2022-11-23T01:32:38.4076070Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4076135Z             }
2022-11-23T01:32:38.4076218Z             
2022-11-23T01:32:38.4076285Z  - 
2022-11-23T01:32:38.4076413Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.4076463Z             {
2022-11-23T01:32:38.4076596Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.4076763Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.4076882Z                 'obj_weakref': None
2022-11-23T01:32:38.4077234Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.4077298Z             }
2022-11-23T01:32:38.4077361Z             
2022-11-23T01:32:38.4077432Z  - 
2022-11-23T01:32:38.4077539Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.4077653Z             {
2022-11-23T01:32:38.4077786Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.4078004Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.4078120Z                 'obj_weakref': None
2022-11-23T01:32:38.4078373Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.4078435Z             }
2022-11-23T01:32:38.4078484Z             
2022-11-23T01:32:38.4078743Z [2022-11-23 01:32:16,183] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 505
2022-11-23T01:32:38.4079113Z [2022-11-23 01:32:18,795] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ul/culzenc2thdb2o4lo6uiiecgpgvw34ftj7bbcyjzk7i24melc5x5.py
2022-11-23T01:32:38.4079377Z [2022-11-23 01:32:18,796] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 505
2022-11-23T01:32:38.4079384Z 
2022-11-23T01:32:38.4079480Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.4079549Z import torch
2022-11-23T01:32:38.4079618Z import random
2022-11-23T01:32:38.4079730Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.4079838Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.4079846Z 
2022-11-23T01:32:38.4079922Z aten = torch.ops.aten
2022-11-23T01:32:38.4080055Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.4080147Z async_compile = AsyncCompile()
2022-11-23T01:32:38.4080152Z 
2022-11-23T01:32:38.4080156Z 
2022-11-23T01:32:38.4080287Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.4080492Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.4080610Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.4080711Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:32:38.4080797Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.4080859Z {
2022-11-23T01:32:38.4080958Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.4081019Z     {
2022-11-23T01:32:38.4081098Z         #pragma omp for 
2022-11-23T01:32:38.4081180Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.4081241Z         {
2022-11-23T01:32:38.4081309Z             #pragma GCC ivdep
2022-11-23T01:32:38.4081392Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.4081455Z             {
2022-11-23T01:32:38.4081519Z                 {
2022-11-23T01:32:38.4081584Z                     {
2022-11-23T01:32:38.4081687Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T01:32:38.4081769Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:38.4081876Z                         auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:32:38.4081967Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:38.4082062Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:38.4082131Z                     }
2022-11-23T01:32:38.4082196Z                 }
2022-11-23T01:32:38.4082257Z             }
2022-11-23T01:32:38.4082307Z         }
2022-11-23T01:32:38.4082367Z     }
2022-11-23T01:32:38.4082425Z }
2022-11-23T01:32:38.4082501Z ''')
2022-11-23T01:32:38.4082506Z 
2022-11-23T01:32:38.4082512Z 
2022-11-23T01:32:38.4082602Z async_compile.wait(globals())
2022-11-23T01:32:38.4082672Z del async_compile
2022-11-23T01:32:38.4082677Z 
2022-11-23T01:32:38.4082745Z def call(args):
2022-11-23T01:32:38.4082818Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.4082876Z     args.clear()
2022-11-23T01:32:38.4083073Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4083235Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.4083302Z     del arg0_1
2022-11-23T01:32:38.4083371Z     del arg1_1
2022-11-23T01:32:38.4083443Z     return (buf0, )
2022-11-23T01:32:38.4083474Z 
2022-11-23T01:32:38.4083478Z 
2022-11-23T01:32:38.4083554Z if __name__ == "__main__":
2022-11-23T01:32:38.4083654Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.4083774Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.4083999Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4084191Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:38.4084303Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.4084308Z 
2022-11-23T01:32:38.4084374Z ok (2.659s)
2022-11-23T01:32:38.4084715Z   test_cpu_strided_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:18,813] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.4084983Z [2022-11-23 01:32:18,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.4085189Z [2022-11-23 01:32:18,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.4085444Z [2022-11-23 01:32:18,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.4085730Z [2022-11-23 01:32:18,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.4086051Z [2022-11-23 01:32:18,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.4086379Z [2022-11-23 01:32:18,814] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.4086471Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.4086561Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.4086632Z               4 BINARY_ADD
2022-11-23T01:32:38.4086721Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.4086785Z               8 RETURN_VALUE
2022-11-23T01:32:38.4086845Z  
2022-11-23T01:32:38.4086850Z 
2022-11-23T01:32:38.4087116Z [2022-11-23 01:32:18,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.4087326Z [2022-11-23 01:32:18,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.4087562Z [2022-11-23 01:32:18,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.4087832Z [2022-11-23 01:32:18,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.4088072Z [2022-11-23 01:32:18,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.4088315Z [2022-11-23 01:32:18,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4088647Z [2022-11-23 01:32:18,818] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.4088879Z [2022-11-23 01:32:18,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4089115Z [2022-11-23 01:32:18,818] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.4089365Z [2022-11-23 01:32:18,820] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.4089618Z [2022-11-23 01:32:18,829] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.4089804Z [2022-11-23 01:32:18,830] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.4089936Z  __compiled_fn_514 <eval_with_key>.3163 opcode, name, target, args, kwargs
2022-11-23T01:32:38.4090024Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.4090108Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.4090271Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.4090402Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.4090408Z 
2022-11-23T01:32:38.4090681Z [2022-11-23 01:32:18,830] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4090803Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.4090894Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4090984Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.4091074Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.4091149Z               8 RETURN_VALUE
2022-11-23T01:32:38.4091154Z 
2022-11-23T01:32:38.4091202Z  
2022-11-23T01:32:38.4091477Z [2022-11-23 01:32:18,831] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4091583Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_514)
2022-11-23T01:32:38.4091670Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4091762Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4091839Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.4091925Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4091999Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.4092075Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.4092162Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.4092264Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.4092364Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.4092450Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4092528Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.4092614Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.4092675Z              26 RETURN_VALUE
2022-11-23T01:32:38.4092680Z 
2022-11-23T01:32:38.4092738Z  
2022-11-23T01:32:38.4092921Z [2022-11-23 01:32:18,832] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.4092991Z  - 
2022-11-23T01:32:38.4093108Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.4093170Z             {
2022-11-23T01:32:38.4093308Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.4093483Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.4093599Z                 'obj_weakref': None
2022-11-23T01:32:38.4093822Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.4093885Z             }
2022-11-23T01:32:38.4093947Z             
2022-11-23T01:32:38.4094016Z  - 
2022-11-23T01:32:38.4094137Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.4094187Z             {
2022-11-23T01:32:38.4094327Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4094432Z                 'code': None,
2022-11-23T01:32:38.4094639Z                 'obj_weakref': <weakref at 0x7f70f2c73470; to 'Tensor' at 0x7f70f2e09770>
2022-11-23T01:32:38.4094888Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4094950Z             }
2022-11-23T01:32:38.4095012Z             
2022-11-23T01:32:38.4095067Z  - 
2022-11-23T01:32:38.4095190Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.4095254Z             {
2022-11-23T01:32:38.4095397Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4095501Z                 'code': None,
2022-11-23T01:32:38.4095706Z                 'obj_weakref': <weakref at 0x7f70f10b2d70; to 'Tensor' at 0x7f71068f7890>
2022-11-23T01:32:38.4095953Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4096002Z             }
2022-11-23T01:32:38.4096062Z             
2022-11-23T01:32:38.4096129Z  - 
2022-11-23T01:32:38.4096256Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.4096318Z             {
2022-11-23T01:32:38.4096479Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.4096646Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.4096751Z                 'obj_weakref': None
2022-11-23T01:32:38.4097003Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.4097066Z             }
2022-11-23T01:32:38.4097126Z             
2022-11-23T01:32:38.4097193Z  - 
2022-11-23T01:32:38.4097314Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.4097375Z             {
2022-11-23T01:32:38.4097497Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.4097710Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.4097825Z                 'obj_weakref': None
2022-11-23T01:32:38.4098041Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.4098104Z             }
2022-11-23T01:32:38.4098170Z             
2022-11-23T01:32:38.4098427Z [2022-11-23 01:32:18,845] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 506
2022-11-23T01:32:38.4098786Z [2022-11-23 01:32:21,493] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a7/ca7vuplzfyuy7tubloqle2ntf24tfbjulihckzfgeqwo27qau5cb.py
2022-11-23T01:32:38.4099047Z [2022-11-23 01:32:21,493] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 506
2022-11-23T01:32:38.4099052Z 
2022-11-23T01:32:38.4099145Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.4099213Z import torch
2022-11-23T01:32:38.4099281Z import random
2022-11-23T01:32:38.4099394Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.4099514Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.4099519Z 
2022-11-23T01:32:38.4099595Z aten = torch.ops.aten
2022-11-23T01:32:38.4099716Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.4099810Z async_compile = AsyncCompile()
2022-11-23T01:32:38.4099815Z 
2022-11-23T01:32:38.4099820Z 
2022-11-23T01:32:38.4099954Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.4100156Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.4100276Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.4100379Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.4100475Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.4100535Z {
2022-11-23T01:32:38.4100620Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.4100680Z     {
2022-11-23T01:32:38.4100757Z         #pragma omp for 
2022-11-23T01:32:38.4100838Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.4100900Z         {
2022-11-23T01:32:38.4100978Z             #pragma GCC ivdep
2022-11-23T01:32:38.4101063Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.4101116Z             {
2022-11-23T01:32:38.4101179Z                 {
2022-11-23T01:32:38.4101244Z                     {
2022-11-23T01:32:38.4101348Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T01:32:38.4101451Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T01:32:38.4101546Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.4101640Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:38.4101694Z                     }
2022-11-23T01:32:38.4101757Z                 }
2022-11-23T01:32:38.4101819Z             }
2022-11-23T01:32:38.4101880Z         }
2022-11-23T01:32:38.4101939Z     }
2022-11-23T01:32:38.4101998Z }
2022-11-23T01:32:38.4102061Z ''')
2022-11-23T01:32:38.4102066Z 
2022-11-23T01:32:38.4102082Z 
2022-11-23T01:32:38.4102159Z async_compile.wait(globals())
2022-11-23T01:32:38.4102229Z del async_compile
2022-11-23T01:32:38.4102234Z 
2022-11-23T01:32:38.4102302Z def call(args):
2022-11-23T01:32:38.4102377Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.4102475Z     args.clear()
2022-11-23T01:32:38.4102672Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4102835Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.4102927Z     del arg0_1
2022-11-23T01:32:38.4102995Z     del arg1_1
2022-11-23T01:32:38.4103066Z     return (buf0, )
2022-11-23T01:32:38.4103070Z 
2022-11-23T01:32:38.4103074Z 
2022-11-23T01:32:38.4103149Z if __name__ == "__main__":
2022-11-23T01:32:38.4103261Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.4103382Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.4103579Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4103774Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4103874Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.4103881Z 
2022-11-23T01:32:38.4103946Z ok (2.697s)
2022-11-23T01:32:38.4104291Z   test_cpu_strided_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:21,510] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.4104655Z [2022-11-23 01:32:21,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.4104878Z [2022-11-23 01:32:21,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.4105129Z [2022-11-23 01:32:21,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.4105412Z [2022-11-23 01:32:21,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.4105733Z [2022-11-23 01:32:21,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.4106066Z [2022-11-23 01:32:21,511] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.4106144Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.4106235Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.4106310Z               4 BINARY_ADD
2022-11-23T01:32:38.4106398Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.4106474Z               8 RETURN_VALUE
2022-11-23T01:32:38.4106534Z  
2022-11-23T01:32:38.4106539Z 
2022-11-23T01:32:38.4106802Z [2022-11-23 01:32:21,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.4107009Z [2022-11-23 01:32:21,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.4107231Z [2022-11-23 01:32:21,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.4107508Z [2022-11-23 01:32:21,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.4107749Z [2022-11-23 01:32:21,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.4107995Z [2022-11-23 01:32:21,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4108328Z [2022-11-23 01:32:21,515] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.4108567Z [2022-11-23 01:32:21,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4108801Z [2022-11-23 01:32:21,515] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.4109050Z [2022-11-23 01:32:21,518] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.4109298Z [2022-11-23 01:32:21,527] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.4109511Z [2022-11-23 01:32:21,527] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.4109643Z  __compiled_fn_515 <eval_with_key>.3169 opcode, name, target, args, kwargs
2022-11-23T01:32:38.4109760Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.4109847Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.4110023Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.4110118Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.4110125Z 
2022-11-23T01:32:38.4110397Z [2022-11-23 01:32:21,528] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4110491Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.4110568Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4110659Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.4110753Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.4110828Z               8 RETURN_VALUE
2022-11-23T01:32:38.4110833Z 
2022-11-23T01:32:38.4110894Z  
2022-11-23T01:32:38.4111164Z [2022-11-23 01:32:21,528] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4111273Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_515)
2022-11-23T01:32:38.4111361Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4111437Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4111512Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.4111599Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4111685Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.4111759Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.4111845Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.4111949Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.4112040Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.4112127Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4112202Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.4112288Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.4112363Z              26 RETURN_VALUE
2022-11-23T01:32:38.4112369Z 
2022-11-23T01:32:38.4112427Z  
2022-11-23T01:32:38.4112607Z [2022-11-23 01:32:21,530] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.4112662Z  - 
2022-11-23T01:32:38.4112778Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.4112843Z             {
2022-11-23T01:32:38.4112981Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.4113164Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.4113281Z                 'obj_weakref': None
2022-11-23T01:32:38.4113504Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.4113558Z             }
2022-11-23T01:32:38.4113620Z             
2022-11-23T01:32:38.4113689Z  - 
2022-11-23T01:32:38.4113811Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.4113875Z             {
2022-11-23T01:32:38.4114015Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4114123Z                 'code': None,
2022-11-23T01:32:38.4114319Z                 'obj_weakref': <weakref at 0x7f70f10b2e90; to 'Tensor' at 0x7f70f10a8c50>
2022-11-23T01:32:38.4114565Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4114631Z             }
2022-11-23T01:32:38.4114693Z             
2022-11-23T01:32:38.4114759Z  - 
2022-11-23T01:32:38.4114881Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.4114943Z             {
2022-11-23T01:32:38.4115071Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4115174Z                 'code': None,
2022-11-23T01:32:38.4115419Z                 'obj_weakref': <weakref at 0x7f71070c0bf0; to 'Tensor' at 0x7f70f10a8590>
2022-11-23T01:32:38.4115666Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4115729Z             }
2022-11-23T01:32:38.4115794Z             
2022-11-23T01:32:38.4115889Z  - 
2022-11-23T01:32:38.4116008Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.4116072Z             {
2022-11-23T01:32:38.4116207Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.4116376Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.4116492Z                 'obj_weakref': None
2022-11-23T01:32:38.4116720Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.4116782Z             }
2022-11-23T01:32:38.4116831Z             
2022-11-23T01:32:38.4116897Z  - 
2022-11-23T01:32:38.4117019Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.4117082Z             {
2022-11-23T01:32:38.4117341Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.4117555Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.4117671Z                 'obj_weakref': None
2022-11-23T01:32:38.4117879Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.4117940Z             }
2022-11-23T01:32:38.4118005Z             
2022-11-23T01:32:38.4118263Z [2022-11-23 01:32:21,542] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 507
2022-11-23T01:32:38.4118630Z [2022-11-23 01:32:24,167] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i7/ci7gwqixjh6lfzjwg6auhm3st3enkxfj4cmbw4sck67modifvgr6.py
2022-11-23T01:32:38.4118893Z [2022-11-23 01:32:24,167] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 507
2022-11-23T01:32:38.4118898Z 
2022-11-23T01:32:38.4118994Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.4119065Z import torch
2022-11-23T01:32:38.4119121Z import random
2022-11-23T01:32:38.4119234Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.4119358Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.4119365Z 
2022-11-23T01:32:38.4119442Z aten = torch.ops.aten
2022-11-23T01:32:38.4119576Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.4119667Z async_compile = AsyncCompile()
2022-11-23T01:32:38.4119672Z 
2022-11-23T01:32:38.4119676Z 
2022-11-23T01:32:38.4119808Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.4120011Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.4120116Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.4120218Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.4120318Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.4120382Z {
2022-11-23T01:32:38.4120479Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.4120539Z     {
2022-11-23T01:32:38.4120614Z         #pragma omp for 
2022-11-23T01:32:38.4120683Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.4120745Z         {
2022-11-23T01:32:38.4120825Z             #pragma GCC ivdep
2022-11-23T01:32:38.4120910Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.4120973Z             {
2022-11-23T01:32:38.4121036Z                 {
2022-11-23T01:32:38.4121103Z                     {
2022-11-23T01:32:38.4121194Z                         auto tmp0 = in_ptr0[(2*i1) + (30*i0)];
2022-11-23T01:32:38.4121294Z                         auto tmp1 = in_ptr1[i0 + (10*i1)];
2022-11-23T01:32:38.4121388Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.4121483Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:38.4121549Z                     }
2022-11-23T01:32:38.4121613Z                 }
2022-11-23T01:32:38.4121726Z             }
2022-11-23T01:32:38.4121775Z         }
2022-11-23T01:32:38.4121834Z     }
2022-11-23T01:32:38.4121893Z }
2022-11-23T01:32:38.4121970Z ''')
2022-11-23T01:32:38.4121975Z 
2022-11-23T01:32:38.4121980Z 
2022-11-23T01:32:38.4122068Z async_compile.wait(globals())
2022-11-23T01:32:38.4122176Z del async_compile
2022-11-23T01:32:38.4122181Z 
2022-11-23T01:32:38.4122249Z def call(args):
2022-11-23T01:32:38.4122312Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.4122382Z     args.clear()
2022-11-23T01:32:38.4122583Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4122745Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.4122815Z     del arg0_1
2022-11-23T01:32:38.4122880Z     del arg1_1
2022-11-23T01:32:38.4122951Z     return (buf0, )
2022-11-23T01:32:38.4122956Z 
2022-11-23T01:32:38.4122960Z 
2022-11-23T01:32:38.4123034Z if __name__ == "__main__":
2022-11-23T01:32:38.4123137Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.4123259Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.4123456Z     arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4123655Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4123767Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.4123772Z 
2022-11-23T01:32:38.4123837Z ok (2.674s)
2022-11-23T01:32:38.4124187Z   test_cpu_transposed_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:24,183] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.4124456Z [2022-11-23 01:32:24,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.4124660Z [2022-11-23 01:32:24,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.4124914Z [2022-11-23 01:32:24,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.4125199Z [2022-11-23 01:32:24,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.4125523Z [2022-11-23 01:32:24,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.4125851Z [2022-11-23 01:32:24,184] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.4125968Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.4126057Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.4126128Z               4 BINARY_ADD
2022-11-23T01:32:38.4126203Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.4126277Z               8 RETURN_VALUE
2022-11-23T01:32:38.4126338Z  
2022-11-23T01:32:38.4126345Z 
2022-11-23T01:32:38.4126610Z [2022-11-23 01:32:24,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.4126816Z [2022-11-23 01:32:24,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.4127053Z [2022-11-23 01:32:24,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.4127326Z [2022-11-23 01:32:24,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.4127564Z [2022-11-23 01:32:24,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.4127807Z [2022-11-23 01:32:24,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4128126Z [2022-11-23 01:32:24,188] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.4128397Z [2022-11-23 01:32:24,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4128628Z [2022-11-23 01:32:24,188] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.4128908Z [2022-11-23 01:32:24,190] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.4129155Z [2022-11-23 01:32:24,199] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.4129341Z [2022-11-23 01:32:24,199] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.4129473Z  __compiled_fn_516 <eval_with_key>.3175 opcode, name, target, args, kwargs
2022-11-23T01:32:38.4129563Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.4129647Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.4129811Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.4129906Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.4129911Z 
2022-11-23T01:32:38.4130186Z [2022-11-23 01:32:24,200] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4130278Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.4130369Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4130461Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.4130550Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.4130613Z               8 RETURN_VALUE
2022-11-23T01:32:38.4130630Z 
2022-11-23T01:32:38.4130677Z  
2022-11-23T01:32:38.4130947Z [2022-11-23 01:32:24,200] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4131054Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_516)
2022-11-23T01:32:38.4131141Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4131228Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4131307Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.4131392Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4131466Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.4131539Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.4131629Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.4131731Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.4131829Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.4131915Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4131991Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.4132065Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.4132138Z              26 RETURN_VALUE
2022-11-23T01:32:38.4132143Z 
2022-11-23T01:32:38.4132201Z  
2022-11-23T01:32:38.4132381Z [2022-11-23 01:32:24,202] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.4132448Z  - 
2022-11-23T01:32:38.4132568Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.4132631Z             {
2022-11-23T01:32:38.4132756Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.4132939Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.4133062Z                 'obj_weakref': None
2022-11-23T01:32:38.4133284Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.4133351Z             }
2022-11-23T01:32:38.4133413Z             
2022-11-23T01:32:38.4133483Z  - 
2022-11-23T01:32:38.4133593Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.4133655Z             {
2022-11-23T01:32:38.4133796Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4133901Z                 'code': None,
2022-11-23T01:32:38.4134107Z                 'obj_weakref': <weakref at 0x7f71069a6e90; to 'Tensor' at 0x7f71070c0ad0>
2022-11-23T01:32:38.4134354Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4134447Z             }
2022-11-23T01:32:38.4134497Z             
2022-11-23T01:32:38.4134565Z  - 
2022-11-23T01:32:38.4134685Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.4134748Z             {
2022-11-23T01:32:38.4134914Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4135020Z                 'code': None,
2022-11-23T01:32:38.4135224Z                 'obj_weakref': <weakref at 0x7f71069a6e30; to 'Tensor' at 0x7f71070c05f0>
2022-11-23T01:32:38.4135459Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4135521Z             }
2022-11-23T01:32:38.4135584Z             
2022-11-23T01:32:38.4135650Z  - 
2022-11-23T01:32:38.4135780Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.4135842Z             {
2022-11-23T01:32:38.4135973Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.4136131Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.4136248Z                 'obj_weakref': None
2022-11-23T01:32:38.4136474Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.4136536Z             }
2022-11-23T01:32:38.4136599Z             
2022-11-23T01:32:38.4136666Z  - 
2022-11-23T01:32:38.4136785Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.4136835Z             {
2022-11-23T01:32:38.4136967Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.4137181Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.4137296Z                 'obj_weakref': None
2022-11-23T01:32:38.4137510Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.4137571Z             }
2022-11-23T01:32:38.4137632Z             
2022-11-23T01:32:38.4137878Z [2022-11-23 01:32:24,214] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 508
2022-11-23T01:32:38.4138249Z [2022-11-23 01:32:24,232] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fp/cfpdncfghljhx3v4ky7w3nmhtsmt5h2w2bomlxy2dpjzkhvri67a.py
2022-11-23T01:32:38.4138512Z [2022-11-23 01:32:24,232] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 508
2022-11-23T01:32:38.4138518Z 
2022-11-23T01:32:38.4138613Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.4138681Z import torch
2022-11-23T01:32:38.4138749Z import random
2022-11-23T01:32:38.4138861Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.4138981Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.4138986Z 
2022-11-23T01:32:38.4139062Z aten = torch.ops.aten
2022-11-23T01:32:38.4139182Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.4139272Z async_compile = AsyncCompile()
2022-11-23T01:32:38.4139279Z 
2022-11-23T01:32:38.4139284Z 
2022-11-23T01:32:38.4139417Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.4139619Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.4139736Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.4139841Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.4139940Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.4139999Z {
2022-11-23T01:32:38.4140083Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.4140143Z     {
2022-11-23T01:32:38.4140219Z         #pragma omp for 
2022-11-23T01:32:38.4140301Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.4140363Z         {
2022-11-23T01:32:38.4140444Z             #pragma GCC ivdep
2022-11-23T01:32:38.4140516Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.4140578Z             {
2022-11-23T01:32:38.4140642Z                 {
2022-11-23T01:32:38.4140736Z                     {
2022-11-23T01:32:38.4140838Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:38.4140931Z                         auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.4141022Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.4141131Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:38.4141198Z                     }
2022-11-23T01:32:38.4141263Z                 }
2022-11-23T01:32:38.4141324Z             }
2022-11-23T01:32:38.4141386Z         }
2022-11-23T01:32:38.4141445Z     }
2022-11-23T01:32:38.4141503Z }
2022-11-23T01:32:38.4141567Z ''')
2022-11-23T01:32:38.4141572Z 
2022-11-23T01:32:38.4141575Z 
2022-11-23T01:32:38.4141667Z async_compile.wait(globals())
2022-11-23T01:32:38.4141738Z del async_compile
2022-11-23T01:32:38.4141742Z 
2022-11-23T01:32:38.4141812Z def call(args):
2022-11-23T01:32:38.4141885Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.4141956Z     args.clear()
2022-11-23T01:32:38.4142156Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4142307Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.4142375Z     del arg0_1
2022-11-23T01:32:38.4142440Z     del arg1_1
2022-11-23T01:32:38.4142511Z     return (buf0, )
2022-11-23T01:32:38.4142516Z 
2022-11-23T01:32:38.4142519Z 
2022-11-23T01:32:38.4142594Z if __name__ == "__main__":
2022-11-23T01:32:38.4142707Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.4142828Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.4143026Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4143206Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4143320Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.4143325Z 
2022-11-23T01:32:38.4143390Z ok (0.063s)
2022-11-23T01:32:38.4143738Z   test_cpu_transposed_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:24,243] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.4144008Z [2022-11-23 01:32:24,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.4144226Z [2022-11-23 01:32:24,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.4144564Z [2022-11-23 01:32:24,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.4144855Z [2022-11-23 01:32:24,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.4145177Z [2022-11-23 01:32:24,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.4145493Z [2022-11-23 01:32:24,243] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.4145585Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.4145675Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.4145747Z               4 BINARY_ADD
2022-11-23T01:32:38.4145838Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.4145913Z               8 RETURN_VALUE
2022-11-23T01:32:38.4145974Z  
2022-11-23T01:32:38.4145979Z 
2022-11-23T01:32:38.4146245Z [2022-11-23 01:32:24,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.4146439Z [2022-11-23 01:32:24,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.4146674Z [2022-11-23 01:32:24,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.4146944Z [2022-11-23 01:32:24,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.4147218Z [2022-11-23 01:32:24,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.4147461Z [2022-11-23 01:32:24,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4147833Z [2022-11-23 01:32:24,247] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.4148077Z [2022-11-23 01:32:24,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4148310Z [2022-11-23 01:32:24,247] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.4148563Z [2022-11-23 01:32:24,249] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.4148797Z [2022-11-23 01:32:24,256] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.4148984Z [2022-11-23 01:32:24,256] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.4149116Z  __compiled_fn_517 <eval_with_key>.3181 opcode, name, target, args, kwargs
2022-11-23T01:32:38.4149206Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.4149294Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.4149472Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.4149566Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.4149572Z 
2022-11-23T01:32:38.4149844Z [2022-11-23 01:32:24,257] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4149925Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.4150017Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4150110Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.4150200Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.4150276Z               8 RETURN_VALUE
2022-11-23T01:32:38.4150284Z 
2022-11-23T01:32:38.4150347Z  
2022-11-23T01:32:38.4150621Z [2022-11-23 01:32:24,257] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4150726Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_517)
2022-11-23T01:32:38.4150807Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4150894Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4150972Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.4151061Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4151146Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.4151219Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.4151308Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.4151398Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.4151498Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.4151591Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4151667Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.4151753Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.4151827Z              26 RETURN_VALUE
2022-11-23T01:32:38.4151832Z 
2022-11-23T01:32:38.4151893Z  
2022-11-23T01:32:38.4152062Z [2022-11-23 01:32:24,259] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.4152130Z  - 
2022-11-23T01:32:38.4152247Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.4152311Z             {
2022-11-23T01:32:38.4152449Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.4152633Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.4152751Z                 'obj_weakref': None
2022-11-23T01:32:38.4152959Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.4153021Z             }
2022-11-23T01:32:38.4153085Z             
2022-11-23T01:32:38.4153180Z  - 
2022-11-23T01:32:38.4153302Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.4153363Z             {
2022-11-23T01:32:38.4153504Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4153596Z                 'code': None,
2022-11-23T01:32:38.4153833Z                 'obj_weakref': <weakref at 0x7f70f161d1d0; to 'Tensor' at 0x7f710714ae90>
2022-11-23T01:32:38.4154082Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4154148Z             }
2022-11-23T01:32:38.4154213Z             
2022-11-23T01:32:38.4154280Z  - 
2022-11-23T01:32:38.4154399Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.4154450Z             {
2022-11-23T01:32:38.4154587Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4154695Z                 'code': None,
2022-11-23T01:32:38.4154900Z                 'obj_weakref': <weakref at 0x7f70f164cd70; to 'Tensor' at 0x7f7106d8f410>
2022-11-23T01:32:38.4155148Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4155212Z             }
2022-11-23T01:32:38.4155277Z             
2022-11-23T01:32:38.4155332Z  - 
2022-11-23T01:32:38.4155459Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.4155523Z             {
2022-11-23T01:32:38.4155655Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.4155822Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.4155938Z                 'obj_weakref': None
2022-11-23T01:32:38.4156165Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.4156226Z             }
2022-11-23T01:32:38.4156275Z             
2022-11-23T01:32:38.4156342Z  - 
2022-11-23T01:32:38.4156461Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.4156522Z             {
2022-11-23T01:32:38.4156655Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.4156871Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.4156975Z                 'obj_weakref': None
2022-11-23T01:32:38.4157315Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.4157382Z             }
2022-11-23T01:32:38.4157445Z             
2022-11-23T01:32:38.4157708Z [2022-11-23 01:32:24,269] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 509
2022-11-23T01:32:38.4158075Z [2022-11-23 01:32:24,286] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rz/crz3okwgjesmisxzq7w2f2wztj22ofkreznxe3y247gcud3hube7.py
2022-11-23T01:32:38.4158339Z [2022-11-23 01:32:24,286] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 509
2022-11-23T01:32:38.4158345Z 
2022-11-23T01:32:38.4158439Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.4158507Z import torch
2022-11-23T01:32:38.4158566Z import random
2022-11-23T01:32:38.4158680Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.4158798Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.4158803Z 
2022-11-23T01:32:38.4158881Z aten = torch.ops.aten
2022-11-23T01:32:38.4159015Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.4159106Z async_compile = AsyncCompile()
2022-11-23T01:32:38.4159111Z 
2022-11-23T01:32:38.4159115Z 
2022-11-23T01:32:38.4159247Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.4159442Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.4159560Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.4159665Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.4159765Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.4159825Z {
2022-11-23T01:32:38.4159922Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.4160033Z     {
2022-11-23T01:32:38.4160096Z         #pragma omp for 
2022-11-23T01:32:38.4160178Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.4160241Z         {
2022-11-23T01:32:38.4160320Z             #pragma GCC ivdep
2022-11-23T01:32:38.4165750Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.4165837Z             {
2022-11-23T01:32:38.4165903Z                 {
2022-11-23T01:32:38.4165958Z                     {
2022-11-23T01:32:38.4166070Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:38.4166165Z                         auto tmp1 = in_ptr1[i1];
2022-11-23T01:32:38.4166259Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.4166356Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:38.4166422Z                     }
2022-11-23T01:32:38.4166486Z                 }
2022-11-23T01:32:38.4166536Z             }
2022-11-23T01:32:38.4166598Z         }
2022-11-23T01:32:38.4166658Z     }
2022-11-23T01:32:38.4166720Z }
2022-11-23T01:32:38.4166819Z ''')
2022-11-23T01:32:38.4166825Z 
2022-11-23T01:32:38.4166829Z 
2022-11-23T01:32:38.4166920Z async_compile.wait(globals())
2022-11-23T01:32:38.4166991Z del async_compile
2022-11-23T01:32:38.4166997Z 
2022-11-23T01:32:38.4167053Z def call(args):
2022-11-23T01:32:38.4167130Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.4167201Z     args.clear()
2022-11-23T01:32:38.4167413Z     buf0 = empty_strided((1, 10, 10), (100, 1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4167577Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.4167644Z     del arg0_1
2022-11-23T01:32:38.4167709Z     del arg1_1
2022-11-23T01:32:38.4167767Z     return (buf0, )
2022-11-23T01:32:38.4167783Z 
2022-11-23T01:32:38.4167787Z 
2022-11-23T01:32:38.4167851Z if __name__ == "__main__":
2022-11-23T01:32:38.4167963Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.4168086Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.4168288Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4168490Z     arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4168605Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.4168611Z 
2022-11-23T01:32:38.4168676Z ok (0.054s)
2022-11-23T01:32:38.4169030Z   test_cpu_transposed_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:24,297] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.4169289Z [2022-11-23 01:32:24,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.4169508Z [2022-11-23 01:32:24,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.4169761Z [2022-11-23 01:32:24,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.4170049Z [2022-11-23 01:32:24,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.4170374Z [2022-11-23 01:32:24,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.4170702Z [2022-11-23 01:32:24,297] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.4170795Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.4170885Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.4170961Z               4 BINARY_ADD
2022-11-23T01:32:38.4171038Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.4171113Z               8 RETURN_VALUE
2022-11-23T01:32:38.4171173Z  
2022-11-23T01:32:38.4171178Z 
2022-11-23T01:32:38.4171444Z [2022-11-23 01:32:24,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.4171687Z [2022-11-23 01:32:24,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.4171923Z [2022-11-23 01:32:24,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.4172254Z [2022-11-23 01:32:24,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.4172497Z [2022-11-23 01:32:24,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.4172729Z [2022-11-23 01:32:24,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4173067Z [2022-11-23 01:32:24,301] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.4173309Z [2022-11-23 01:32:24,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4173544Z [2022-11-23 01:32:24,301] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.4173795Z [2022-11-23 01:32:24,303] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.4174043Z [2022-11-23 01:32:24,310] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.4174230Z [2022-11-23 01:32:24,310] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.4174366Z  __compiled_fn_518 <eval_with_key>.3187 opcode, name, target, args, kwargs
2022-11-23T01:32:38.4174455Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.4174531Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.4174708Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.4174803Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.4174808Z 
2022-11-23T01:32:38.4175080Z [2022-11-23 01:32:24,311] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4175176Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.4175266Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4175359Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.4175449Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.4175511Z               8 RETURN_VALUE
2022-11-23T01:32:38.4175516Z 
2022-11-23T01:32:38.4175576Z  
2022-11-23T01:32:38.4175845Z [2022-11-23 01:32:24,311] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4175952Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_518)
2022-11-23T01:32:38.4176040Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4176128Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4176203Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.4176281Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4176365Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.4176440Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.4176527Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.4176632Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.4176732Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.4176820Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4176882Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.4176967Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.4177040Z              26 RETURN_VALUE
2022-11-23T01:32:38.4177045Z 
2022-11-23T01:32:38.4177104Z  
2022-11-23T01:32:38.4177284Z [2022-11-23 01:32:24,312] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.4177353Z  - 
2022-11-23T01:32:38.4177471Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.4177523Z             {
2022-11-23T01:32:38.4177688Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.4177874Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.4177990Z                 'obj_weakref': None
2022-11-23T01:32:38.4178244Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.4178308Z             }
2022-11-23T01:32:38.4178370Z             
2022-11-23T01:32:38.4178438Z  - 
2022-11-23T01:32:38.4178549Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.4178610Z             {
2022-11-23T01:32:38.4178752Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4178857Z                 'code': None,
2022-11-23T01:32:38.4179063Z                 'obj_weakref': <weakref at 0x7f712a50d1d0; to 'Tensor' at 0x7f712a5537d0>
2022-11-23T01:32:38.4179311Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4179375Z             }
2022-11-23T01:32:38.4179426Z             
2022-11-23T01:32:38.4179492Z  - 
2022-11-23T01:32:38.4179612Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.4179674Z             {
2022-11-23T01:32:38.4179813Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4179921Z                 'code': None,
2022-11-23T01:32:38.4180126Z                 'obj_weakref': <weakref at 0x7f70f2c583b0; to 'Tensor' at 0x7f712a553050>
2022-11-23T01:32:38.4180360Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4180422Z             }
2022-11-23T01:32:38.4180488Z             
2022-11-23T01:32:38.4180556Z  - 
2022-11-23T01:32:38.4180683Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.4180744Z             {
2022-11-23T01:32:38.4180864Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.4181032Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.4181152Z                 'obj_weakref': None
2022-11-23T01:32:38.4181379Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.4181442Z             }
2022-11-23T01:32:38.4181503Z             
2022-11-23T01:32:38.4181570Z  - 
2022-11-23T01:32:38.4181681Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.4181743Z             {
2022-11-23T01:32:38.4181877Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.4182092Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.4182209Z                 'obj_weakref': None
2022-11-23T01:32:38.4182425Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.4182486Z             }
2022-11-23T01:32:38.4182547Z             
2022-11-23T01:32:38.4182794Z [2022-11-23 01:32:24,323] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 510
2022-11-23T01:32:38.4183167Z [2022-11-23 01:32:24,338] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sk/csktlaaxbmcpiah3l2lntikmec4antb6kw525dmtit6bmqg5agod.py
2022-11-23T01:32:38.4183430Z [2022-11-23 01:32:24,338] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 510
2022-11-23T01:32:38.4183437Z 
2022-11-23T01:32:38.4183530Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.4183597Z import torch
2022-11-23T01:32:38.4183665Z import random
2022-11-23T01:32:38.4183778Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.4183897Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.4183902Z 
2022-11-23T01:32:38.4183967Z aten = torch.ops.aten
2022-11-23T01:32:38.4184098Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.4184190Z async_compile = AsyncCompile()
2022-11-23T01:32:38.4184195Z 
2022-11-23T01:32:38.4184199Z 
2022-11-23T01:32:38.4184344Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.4184674Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.4184794Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.4184897Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.4185028Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.4185076Z {
2022-11-23T01:32:38.4185173Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.4185234Z     {
2022-11-23T01:32:38.4185310Z         #pragma omp for 
2022-11-23T01:32:38.4185391Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:38.4185454Z         {
2022-11-23T01:32:38.4185608Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.4185716Z             auto tmp1 = at::vec::Vectorized<float>(in_ptr1[0]);
2022-11-23T01:32:38.4185799Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.4185889Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.4185953Z         }
2022-11-23T01:32:38.4186046Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.4186128Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T01:32:38.4186188Z         {
2022-11-23T01:32:38.4186259Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.4186342Z             auto tmp1 = in_ptr1[0];
2022-11-23T01:32:38.4186423Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.4186502Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.4186561Z         }
2022-11-23T01:32:38.4186621Z     }
2022-11-23T01:32:38.4186667Z }
2022-11-23T01:32:38.4186749Z ''')
2022-11-23T01:32:38.4186755Z 
2022-11-23T01:32:38.4186758Z 
2022-11-23T01:32:38.4186845Z async_compile.wait(globals())
2022-11-23T01:32:38.4186917Z del async_compile
2022-11-23T01:32:38.4186922Z 
2022-11-23T01:32:38.4186990Z def call(args):
2022-11-23T01:32:38.4187064Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.4187132Z     args.clear()
2022-11-23T01:32:38.4187333Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4187486Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.4187552Z     del arg0_1
2022-11-23T01:32:38.4187617Z     del arg1_1
2022-11-23T01:32:38.4187688Z     return (buf0, )
2022-11-23T01:32:38.4187693Z 
2022-11-23T01:32:38.4187699Z 
2022-11-23T01:32:38.4187773Z if __name__ == "__main__":
2022-11-23T01:32:38.4187885Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.4188005Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.4188202Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4188380Z     arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4188491Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.4188496Z 
2022-11-23T01:32:38.4188561Z ok (0.052s)
2022-11-23T01:32:38.4188903Z   test_cpu_transposed_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:24,349] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.4189173Z [2022-11-23 01:32:24,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.4189391Z [2022-11-23 01:32:24,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.4189644Z [2022-11-23 01:32:24,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.4189928Z [2022-11-23 01:32:24,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.4190252Z [2022-11-23 01:32:24,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.4190571Z [2022-11-23 01:32:24,350] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.4190694Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.4190784Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.4190858Z               4 BINARY_ADD
2022-11-23T01:32:38.4190946Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.4191047Z               8 RETURN_VALUE
2022-11-23T01:32:38.4191109Z  
2022-11-23T01:32:38.4191114Z 
2022-11-23T01:32:38.4191381Z [2022-11-23 01:32:24,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.4191575Z [2022-11-23 01:32:24,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.4191809Z [2022-11-23 01:32:24,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.4192077Z [2022-11-23 01:32:24,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.4192315Z [2022-11-23 01:32:24,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.4192560Z [2022-11-23 01:32:24,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4192895Z [2022-11-23 01:32:24,353] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.4193138Z [2022-11-23 01:32:24,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4193372Z [2022-11-23 01:32:24,353] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.4193623Z [2022-11-23 01:32:24,355] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.4193856Z [2022-11-23 01:32:24,361] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.4194043Z [2022-11-23 01:32:24,362] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.4194178Z  __compiled_fn_519 <eval_with_key>.3193 opcode, name, target, args, kwargs
2022-11-23T01:32:38.4194267Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.4194353Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.4194531Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.4194623Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.4194629Z 
2022-11-23T01:32:38.4194904Z [2022-11-23 01:32:24,363] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4194985Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.4195077Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4195168Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.4195257Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.4195332Z               8 RETURN_VALUE
2022-11-23T01:32:38.4195340Z 
2022-11-23T01:32:38.4195400Z  
2022-11-23T01:32:38.4195669Z [2022-11-23 01:32:24,363] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4195776Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_519)
2022-11-23T01:32:38.4195854Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4195943Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4196018Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.4196104Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4196189Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.4196262Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.4196349Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.4196439Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.4196538Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.4196624Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4196730Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.4196817Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.4196891Z              26 RETURN_VALUE
2022-11-23T01:32:38.4196896Z 
2022-11-23T01:32:38.4196956Z  
2022-11-23T01:32:38.4197324Z [2022-11-23 01:32:24,365] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.4197397Z  - 
2022-11-23T01:32:38.4197516Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.4197579Z             {
2022-11-23T01:32:38.4197717Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.4197902Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.4198020Z                 'obj_weakref': None
2022-11-23T01:32:38.4198231Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.4198295Z             }
2022-11-23T01:32:38.4198357Z             
2022-11-23T01:32:38.4198424Z  - 
2022-11-23T01:32:38.4198548Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.4198610Z             {
2022-11-23T01:32:38.4198750Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4198842Z                 'code': None,
2022-11-23T01:32:38.4199050Z                 'obj_weakref': <weakref at 0x7f7106c52e30; to 'Tensor' at 0x7f71c222f890>
2022-11-23T01:32:38.4199299Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4199361Z             }
2022-11-23T01:32:38.4199424Z             
2022-11-23T01:32:38.4199491Z  - 
2022-11-23T01:32:38.4199613Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.4199662Z             {
2022-11-23T01:32:38.4199804Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4199909Z                 'code': None,
2022-11-23T01:32:38.4200114Z                 'obj_weakref': <weakref at 0x7f70f164c290; to 'Tensor' at 0x7f71c222ffb0>
2022-11-23T01:32:38.4200361Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4200427Z             }
2022-11-23T01:32:38.4200488Z             
2022-11-23T01:32:38.4200543Z  - 
2022-11-23T01:32:38.4200670Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.4200733Z             {
2022-11-23T01:32:38.4200868Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.4201036Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.4201152Z                 'obj_weakref': None
2022-11-23T01:32:38.4201377Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.4201427Z             }
2022-11-23T01:32:38.4201488Z             
2022-11-23T01:32:38.4201556Z  - 
2022-11-23T01:32:38.4201675Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.4201737Z             {
2022-11-23T01:32:38.4201869Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.4202080Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.4202186Z                 'obj_weakref': None
2022-11-23T01:32:38.4202399Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.4202463Z             }
2022-11-23T01:32:38.4202526Z             
2022-11-23T01:32:38.4202784Z [2022-11-23 01:32:24,375] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 511
2022-11-23T01:32:38.4203150Z [2022-11-23 01:32:26,974] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/e7/ce7jik3ki355xugsveod6p2rzddglkyborhpy5wdxdnfwexmr6hw.py
2022-11-23T01:32:38.4203413Z [2022-11-23 01:32:26,975] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 511
2022-11-23T01:32:38.4203420Z 
2022-11-23T01:32:38.4203512Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.4203569Z import torch
2022-11-23T01:32:38.4203637Z import random
2022-11-23T01:32:38.4203796Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.4203915Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.4203921Z 
2022-11-23T01:32:38.4203998Z aten = torch.ops.aten
2022-11-23T01:32:38.4204158Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.4204249Z async_compile = AsyncCompile()
2022-11-23T01:32:38.4204254Z 
2022-11-23T01:32:38.4204259Z 
2022-11-23T01:32:38.4204391Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.4204582Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.4204699Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.4204801Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.4204900Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.4204961Z {
2022-11-23T01:32:38.4205058Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.4205122Z     {
2022-11-23T01:32:38.4205186Z         #pragma omp for 
2022-11-23T01:32:38.4205267Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.4205330Z         {
2022-11-23T01:32:38.4205409Z             #pragma GCC ivdep
2022-11-23T01:32:38.4205492Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.4205556Z             {
2022-11-23T01:32:38.4205620Z                 {
2022-11-23T01:32:38.4205673Z                     {
2022-11-23T01:32:38.4205774Z                         auto tmp0 = in_ptr0[i0 + (10*i1)];
2022-11-23T01:32:38.4205875Z                         auto tmp1 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:38.4205967Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.4206064Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:38.4206129Z                     }
2022-11-23T01:32:38.4206192Z                 }
2022-11-23T01:32:38.4206240Z             }
2022-11-23T01:32:38.4206301Z         }
2022-11-23T01:32:38.4206361Z     }
2022-11-23T01:32:38.4206421Z }
2022-11-23T01:32:38.4206497Z ''')
2022-11-23T01:32:38.4206502Z 
2022-11-23T01:32:38.4206507Z 
2022-11-23T01:32:38.4206594Z async_compile.wait(globals())
2022-11-23T01:32:38.4206666Z del async_compile
2022-11-23T01:32:38.4206671Z 
2022-11-23T01:32:38.4206727Z def call(args):
2022-11-23T01:32:38.4206801Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.4206880Z     args.clear()
2022-11-23T01:32:38.4207079Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4207242Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.4207309Z     del arg0_1
2022-11-23T01:32:38.4207374Z     del arg1_1
2022-11-23T01:32:38.4207432Z     return (buf0, )
2022-11-23T01:32:38.4207437Z 
2022-11-23T01:32:38.4207453Z 
2022-11-23T01:32:38.4207515Z if __name__ == "__main__":
2022-11-23T01:32:38.4207626Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.4207747Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.4207946Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4208143Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4208256Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.4208264Z 
2022-11-23T01:32:38.4208331Z ok (2.638s)
2022-11-23T01:32:38.4208663Z   test_cpu_transposed_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:26,990] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.4208929Z [2022-11-23 01:32:26,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.4209146Z [2022-11-23 01:32:26,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.4209398Z [2022-11-23 01:32:26,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.4209683Z [2022-11-23 01:32:26,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.4210038Z [2022-11-23 01:32:26,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.4210393Z [2022-11-23 01:32:26,991] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.4210486Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.4210574Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.4210647Z               4 BINARY_ADD
2022-11-23T01:32:38.4210722Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.4210796Z               8 RETURN_VALUE
2022-11-23T01:32:38.4210856Z  
2022-11-23T01:32:38.4210861Z 
2022-11-23T01:32:38.4211127Z [2022-11-23 01:32:26,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.4211335Z [2022-11-23 01:32:26,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.4211569Z [2022-11-23 01:32:26,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.4211840Z [2022-11-23 01:32:26,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.4212077Z [2022-11-23 01:32:26,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.4212310Z [2022-11-23 01:32:26,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4212641Z [2022-11-23 01:32:26,996] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.4212881Z [2022-11-23 01:32:26,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4213114Z [2022-11-23 01:32:26,996] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.4213366Z [2022-11-23 01:32:26,998] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.4213616Z [2022-11-23 01:32:27,006] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.4213802Z [2022-11-23 01:32:27,007] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.4213934Z  __compiled_fn_520 <eval_with_key>.3199 opcode, name, target, args, kwargs
2022-11-23T01:32:38.4214022Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.4214096Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.4214272Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.4214366Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.4214371Z 
2022-11-23T01:32:38.4214644Z [2022-11-23 01:32:27,007] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4214738Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.4214827Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4214917Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.4214996Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.4215072Z               8 RETURN_VALUE
2022-11-23T01:32:38.4215077Z 
2022-11-23T01:32:38.4215139Z  
2022-11-23T01:32:38.4215408Z [2022-11-23 01:32:27,008] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4215513Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_520)
2022-11-23T01:32:38.4215601Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4215688Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4215763Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.4215839Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4215952Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.4216026Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.4216113Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.4216216Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.4216342Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.4216431Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4216493Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.4216579Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.4216654Z              26 RETURN_VALUE
2022-11-23T01:32:38.4216659Z 
2022-11-23T01:32:38.4216717Z  
2022-11-23T01:32:38.4216898Z [2022-11-23 01:32:27,010] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.4216966Z  - 
2022-11-23T01:32:38.4217082Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.4217134Z             {
2022-11-23T01:32:38.4217271Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.4217459Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.4217575Z                 'obj_weakref': None
2022-11-23T01:32:38.4217798Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.4217864Z             }
2022-11-23T01:32:38.4217926Z             
2022-11-23T01:32:38.4217981Z  - 
2022-11-23T01:32:38.4218105Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.4218166Z             {
2022-11-23T01:32:38.4218308Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4218412Z                 'code': None,
2022-11-23T01:32:38.4218619Z                 'obj_weakref': <weakref at 0x7f7106e93dd0; to 'Tensor' at 0x7f7106cb6710>
2022-11-23T01:32:38.4218867Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4218931Z             }
2022-11-23T01:32:38.4218981Z             
2022-11-23T01:32:38.4219050Z  - 
2022-11-23T01:32:38.4219172Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.4219237Z             {
2022-11-23T01:32:38.4219377Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4219481Z                 'code': None,
2022-11-23T01:32:38.4219679Z                 'obj_weakref': <weakref at 0x7f71c222ffb0; to 'Tensor' at 0x7f7106cb6b90>
2022-11-23T01:32:38.4219924Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4219987Z             }
2022-11-23T01:32:38.4220048Z             
2022-11-23T01:32:38.4220116Z  - 
2022-11-23T01:32:38.4220245Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.4220306Z             {
2022-11-23T01:32:38.4220425Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.4220591Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.4220708Z                 'obj_weakref': None
2022-11-23T01:32:38.4220940Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.4221002Z             }
2022-11-23T01:32:38.4221064Z             
2022-11-23T01:32:38.4221130Z  - 
2022-11-23T01:32:38.4221237Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.4221301Z             {
2022-11-23T01:32:38.4221434Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.4221649Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.4221766Z                 'obj_weakref': None
2022-11-23T01:32:38.4221983Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.4222044Z             }
2022-11-23T01:32:38.4222093Z             
2022-11-23T01:32:38.4222351Z [2022-11-23 01:32:27,022] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 512
2022-11-23T01:32:38.4222721Z [2022-11-23 01:32:29,681] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ui/cui3we3kvbic2jmcfndfyxsdsu64baauxbdy7dipcnxl3mavkyqn.py
2022-11-23T01:32:38.4223013Z [2022-11-23 01:32:29,682] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 512
2022-11-23T01:32:38.4223018Z 
2022-11-23T01:32:38.4223138Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.4223207Z import torch
2022-11-23T01:32:38.4223275Z import random
2022-11-23T01:32:38.4223389Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.4223498Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.4223515Z 
2022-11-23T01:32:38.4223579Z aten = torch.ops.aten
2022-11-23T01:32:38.4223713Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.4223803Z async_compile = AsyncCompile()
2022-11-23T01:32:38.4223808Z 
2022-11-23T01:32:38.4223812Z 
2022-11-23T01:32:38.4223946Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.4224149Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.4224270Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.4224376Z                        const double* __restrict__ in_ptr1,
2022-11-23T01:32:38.4224560Z                        double* __restrict__ out_ptr0)
2022-11-23T01:32:38.4224611Z {
2022-11-23T01:32:38.4224708Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.4224771Z     {
2022-11-23T01:32:38.4224850Z         #pragma omp for 
2022-11-23T01:32:38.4224932Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.4224995Z         {
2022-11-23T01:32:38.4225061Z             #pragma GCC ivdep
2022-11-23T01:32:38.4225145Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.4225208Z             {
2022-11-23T01:32:38.4225274Z                 {
2022-11-23T01:32:38.4225340Z                     {
2022-11-23T01:32:38.4225442Z                         auto tmp0 = in_ptr0[i0 + (10*i1)];
2022-11-23T01:32:38.4225545Z                         auto tmp2 = in_ptr1[i1 + (10*i0)];
2022-11-23T01:32:38.4225642Z                         auto tmp1 = static_cast<double>(tmp0);
2022-11-23T01:32:38.4225736Z                         auto tmp3 = tmp1 + tmp2;
2022-11-23T01:32:38.4225832Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:38.4225900Z                     }
2022-11-23T01:32:38.4225964Z                 }
2022-11-23T01:32:38.4226026Z             }
2022-11-23T01:32:38.4226090Z         }
2022-11-23T01:32:38.4226138Z     }
2022-11-23T01:32:38.4226198Z }
2022-11-23T01:32:38.4226281Z ''')
2022-11-23T01:32:38.4226287Z 
2022-11-23T01:32:38.4226292Z 
2022-11-23T01:32:38.4226380Z async_compile.wait(globals())
2022-11-23T01:32:38.4226450Z del async_compile
2022-11-23T01:32:38.4226454Z 
2022-11-23T01:32:38.4226523Z def call(args):
2022-11-23T01:32:38.4226596Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.4226655Z     args.clear()
2022-11-23T01:32:38.4226854Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.4227019Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.4227084Z     del arg0_1
2022-11-23T01:32:38.4227147Z     del arg1_1
2022-11-23T01:32:38.4227217Z     return (buf0, )
2022-11-23T01:32:38.4227221Z 
2022-11-23T01:32:38.4227227Z 
2022-11-23T01:32:38.4227301Z if __name__ == "__main__":
2022-11-23T01:32:38.4227413Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.4227522Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.4227722Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4227918Z     arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64)
2022-11-23T01:32:38.4228030Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.4228035Z 
2022-11-23T01:32:38.4228100Z ok (2.707s)
2022-11-23T01:32:38.4228439Z   test_cpu_transposed_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:29,698] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.4228746Z [2022-11-23 01:32:29,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.4228989Z [2022-11-23 01:32:29,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.4229243Z [2022-11-23 01:32:29,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.4229515Z [2022-11-23 01:32:29,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.4229837Z [2022-11-23 01:32:29,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.4230166Z [2022-11-23 01:32:29,699] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.4230258Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.4230348Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.4230419Z               4 BINARY_ADD
2022-11-23T01:32:38.4230508Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.4230583Z               8 RETURN_VALUE
2022-11-23T01:32:38.4230632Z  
2022-11-23T01:32:38.4230637Z 
2022-11-23T01:32:38.4230900Z [2022-11-23 01:32:29,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.4231108Z [2022-11-23 01:32:29,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.4231342Z [2022-11-23 01:32:29,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.4231612Z [2022-11-23 01:32:29,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.4231852Z [2022-11-23 01:32:29,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.4232100Z [2022-11-23 01:32:29,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4232435Z [2022-11-23 01:32:29,704] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.4232680Z [2022-11-23 01:32:29,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4232899Z [2022-11-23 01:32:29,704] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.4233150Z [2022-11-23 01:32:29,742] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.4233394Z [2022-11-23 01:32:29,750] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.4233581Z [2022-11-23 01:32:29,751] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.4233715Z  __compiled_fn_521 <eval_with_key>.3205 opcode, name, target, args, kwargs
2022-11-23T01:32:38.4233803Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.4233887Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.4234065Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.4234146Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.4234151Z 
2022-11-23T01:32:38.4234426Z [2022-11-23 01:32:29,752] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4234518Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.4234607Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4234699Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.4234788Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.4234863Z               8 RETURN_VALUE
2022-11-23T01:32:38.4234897Z 
2022-11-23T01:32:38.4234957Z  
2022-11-23T01:32:38.4235216Z [2022-11-23 01:32:29,752] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4235324Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_521)
2022-11-23T01:32:38.4235438Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4235528Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4235603Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.4235688Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4235774Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.4235835Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.4235922Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.4236024Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.4236122Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.4236208Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4236285Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.4236370Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.4236431Z              26 RETURN_VALUE
2022-11-23T01:32:38.4236447Z 
2022-11-23T01:32:38.4236494Z  
2022-11-23T01:32:38.4236677Z [2022-11-23 01:32:29,753] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.4236748Z  - 
2022-11-23T01:32:38.4236864Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.4236926Z             {
2022-11-23T01:32:38.4237064Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.4237368Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.4237476Z                 'obj_weakref': None
2022-11-23T01:32:38.4237695Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.4237761Z             }
2022-11-23T01:32:38.4237824Z             
2022-11-23T01:32:38.4237892Z  - 
2022-11-23T01:32:38.4238015Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.4238082Z             {
2022-11-23T01:32:38.4238209Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4238314Z                 'code': None,
2022-11-23T01:32:38.4238519Z                 'obj_weakref': <weakref at 0x7f7106cb6110; to 'Tensor' at 0x7f71060ebbf0>
2022-11-23T01:32:38.4238767Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4238831Z             }
2022-11-23T01:32:38.4238894Z             
2022-11-23T01:32:38.4238960Z  - 
2022-11-23T01:32:38.4239070Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.4239130Z             {
2022-11-23T01:32:38.4239271Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4239377Z                 'code': None,
2022-11-23T01:32:38.4239582Z                 'obj_weakref': <weakref at 0x7f7106c52dd0; to 'Tensor' at 0x7f71063912f0>
2022-11-23T01:32:38.4239828Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4239891Z             }
2022-11-23T01:32:38.4239940Z             
2022-11-23T01:32:38.4240007Z  - 
2022-11-23T01:32:38.4240134Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.4240195Z             {
2022-11-23T01:32:38.4240330Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.4240499Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.4240616Z                 'obj_weakref': None
2022-11-23T01:32:38.4240829Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.4240890Z             }
2022-11-23T01:32:38.4240951Z             
2022-11-23T01:32:38.4241018Z  - 
2022-11-23T01:32:38.4241136Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.4241199Z             {
2022-11-23T01:32:38.4241320Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.4241533Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.4241700Z                 'obj_weakref': None
2022-11-23T01:32:38.4241919Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.4241982Z             }
2022-11-23T01:32:38.4242093Z             
2022-11-23T01:32:38.4242355Z [2022-11-23 01:32:29,766] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 513
2022-11-23T01:32:38.4242725Z [2022-11-23 01:32:32,401] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/q2/cq2sszhktz3vskvfy5mkqw5pwlw7xsujyyosjo5rfexxq23exlnl.py
2022-11-23T01:32:38.4242976Z [2022-11-23 01:32:32,401] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 513
2022-11-23T01:32:38.4242993Z 
2022-11-23T01:32:38.4243073Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.4243142Z import torch
2022-11-23T01:32:38.4243210Z import random
2022-11-23T01:32:38.4243327Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.4243448Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.4243452Z 
2022-11-23T01:32:38.4243528Z aten = torch.ops.aten
2022-11-23T01:32:38.4243663Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.4243743Z async_compile = AsyncCompile()
2022-11-23T01:32:38.4243748Z 
2022-11-23T01:32:38.4243764Z 
2022-11-23T01:32:38.4243885Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.4244087Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.4244205Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.4244307Z                        const int* __restrict__ in_ptr1,
2022-11-23T01:32:38.4244403Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.4244464Z {
2022-11-23T01:32:38.4244561Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.4244610Z     {
2022-11-23T01:32:38.4244689Z         #pragma omp for 
2022-11-23T01:32:38.4244771Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.4244833Z         {
2022-11-23T01:32:38.4244910Z             #pragma GCC ivdep
2022-11-23T01:32:38.4244994Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.4245056Z             {
2022-11-23T01:32:38.4245108Z                 {
2022-11-23T01:32:38.4245173Z                     {
2022-11-23T01:32:38.4245274Z                         auto tmp0 = in_ptr0[i1 + (10*i0)];
2022-11-23T01:32:38.4245367Z                         auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.4245476Z                         auto tmp2 = static_cast<float>(tmp1);
2022-11-23T01:32:38.4245568Z                         auto tmp3 = tmp0 + tmp2;
2022-11-23T01:32:38.4245662Z                         out_ptr0[i1 + (10*i0)] = tmp3;
2022-11-23T01:32:38.4245715Z                     }
2022-11-23T01:32:38.4245778Z                 }
2022-11-23T01:32:38.4245842Z             }
2022-11-23T01:32:38.4245904Z         }
2022-11-23T01:32:38.4245966Z     }
2022-11-23T01:32:38.4246023Z }
2022-11-23T01:32:38.4246088Z ''')
2022-11-23T01:32:38.4246093Z 
2022-11-23T01:32:38.4246109Z 
2022-11-23T01:32:38.4246185Z async_compile.wait(globals())
2022-11-23T01:32:38.4246255Z del async_compile
2022-11-23T01:32:38.4246260Z 
2022-11-23T01:32:38.4246330Z def call(args):
2022-11-23T01:32:38.4246405Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.4246474Z     args.clear()
2022-11-23T01:32:38.4246672Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4246833Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.4246888Z     del arg0_1
2022-11-23T01:32:38.4246952Z     del arg1_1
2022-11-23T01:32:38.4247022Z     return (buf0, )
2022-11-23T01:32:38.4247026Z 
2022-11-23T01:32:38.4247030Z 
2022-11-23T01:32:38.4247105Z if __name__ == "__main__":
2022-11-23T01:32:38.4247218Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.4247367Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.4247566Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4247741Z     arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32)
2022-11-23T01:32:38.4247881Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.4247887Z 
2022-11-23T01:32:38.4247953Z ok (2.719s)
2022-11-23T01:32:38.4248299Z   test_cpu_transposed_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:32,419] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.4248566Z [2022-11-23 01:32:32,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.4248783Z [2022-11-23 01:32:32,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.4249035Z [2022-11-23 01:32:32,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.4249321Z [2022-11-23 01:32:32,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.4249643Z [2022-11-23 01:32:32,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.4249970Z [2022-11-23 01:32:32,420] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.4250050Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.4250138Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.4250211Z               4 BINARY_ADD
2022-11-23T01:32:38.4250297Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.4250371Z               8 RETURN_VALUE
2022-11-23T01:32:38.4250430Z  
2022-11-23T01:32:38.4250435Z 
2022-11-23T01:32:38.4250699Z [2022-11-23 01:32:32,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.4250907Z [2022-11-23 01:32:32,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.4251131Z [2022-11-23 01:32:32,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.4251403Z [2022-11-23 01:32:32,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.4251641Z [2022-11-23 01:32:32,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.4251883Z [2022-11-23 01:32:32,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4252212Z [2022-11-23 01:32:32,424] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.4252452Z [2022-11-23 01:32:32,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4252684Z [2022-11-23 01:32:32,424] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.4252936Z [2022-11-23 01:32:32,426] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.4253181Z [2022-11-23 01:32:32,435] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.4253354Z [2022-11-23 01:32:32,436] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.4253486Z  __compiled_fn_522 <eval_with_key>.3211 opcode, name, target, args, kwargs
2022-11-23T01:32:38.4253574Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.4253661Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.4253836Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.4253930Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.4253935Z 
2022-11-23T01:32:38.4254238Z [2022-11-23 01:32:32,436] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4254331Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.4254409Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4254528Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.4254619Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.4254694Z               8 RETURN_VALUE
2022-11-23T01:32:38.4254699Z 
2022-11-23T01:32:38.4254759Z  
2022-11-23T01:32:38.4255030Z [2022-11-23 01:32:32,437] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4255135Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_522)
2022-11-23T01:32:38.4255211Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4255299Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4255374Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.4255463Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4255548Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.4255622Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.4255709Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.4255813Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.4255901Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.4255988Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4256066Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.4256152Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.4256227Z              26 RETURN_VALUE
2022-11-23T01:32:38.4256232Z 
2022-11-23T01:32:38.4256291Z  
2022-11-23T01:32:38.4256471Z [2022-11-23 01:32:32,438] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.4256527Z  - 
2022-11-23T01:32:38.4256644Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.4256707Z             {
2022-11-23T01:32:38.4256848Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.4257033Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.4257150Z                 'obj_weakref': None
2022-11-23T01:32:38.4257372Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.4257424Z             }
2022-11-23T01:32:38.4257486Z             
2022-11-23T01:32:38.4257553Z  - 
2022-11-23T01:32:38.4257674Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.4257735Z             {
2022-11-23T01:32:38.4257874Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4257979Z                 'code': None,
2022-11-23T01:32:38.4258171Z                 'obj_weakref': <weakref at 0x7f7106391230; to 'Tensor' at 0x7f710696b890>
2022-11-23T01:32:38.4258416Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4258483Z             }
2022-11-23T01:32:38.4258544Z             
2022-11-23T01:32:38.4258613Z  - 
2022-11-23T01:32:38.4258734Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.4258796Z             {
2022-11-23T01:32:38.4258924Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4259030Z                 'code': None,
2022-11-23T01:32:38.4259234Z                 'obj_weakref': <weakref at 0x7f71c25f3170; to 'Tensor' at 0x7f71189ba710>
2022-11-23T01:32:38.4259480Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4259542Z             }
2022-11-23T01:32:38.4259602Z             
2022-11-23T01:32:38.4259669Z  - 
2022-11-23T01:32:38.4259785Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.4259846Z             {
2022-11-23T01:32:38.4259979Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.4260147Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.4260299Z                 'obj_weakref': None
2022-11-23T01:32:38.4260524Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.4260589Z             }
2022-11-23T01:32:38.4260640Z             
2022-11-23T01:32:38.4260707Z  - 
2022-11-23T01:32:38.4260865Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.4260928Z             {
2022-11-23T01:32:38.4261061Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.4261274Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.4261390Z                 'obj_weakref': None
2022-11-23T01:32:38.4261593Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.4261654Z             }
2022-11-23T01:32:38.4261715Z             
2022-11-23T01:32:38.4261972Z [2022-11-23 01:32:32,451] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 514
2022-11-23T01:32:38.4262342Z [2022-11-23 01:32:35,094] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/by/cbyijpuq7yr3ucdvzxdylskww5fp4t44pj7nb6u2aizgdkjtb435.py
2022-11-23T01:32:38.4262605Z [2022-11-23 01:32:35,095] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 514
2022-11-23T01:32:38.4262610Z 
2022-11-23T01:32:38.4262702Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.4262769Z import torch
2022-11-23T01:32:38.4262825Z import random
2022-11-23T01:32:38.4262938Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.4263059Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.4263064Z 
2022-11-23T01:32:38.4263140Z aten = torch.ops.aten
2022-11-23T01:32:38.4263274Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.4263364Z async_compile = AsyncCompile()
2022-11-23T01:32:38.4263369Z 
2022-11-23T01:32:38.4263373Z 
2022-11-23T01:32:38.4263504Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.4263710Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.4263816Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.4263916Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.4264017Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.4264077Z {
2022-11-23T01:32:38.4264173Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.4264233Z     {
2022-11-23T01:32:38.4264309Z         #pragma omp for 
2022-11-23T01:32:38.4264378Z         for(long i0=0; i0<10; i0+=1)
2022-11-23T01:32:38.4264520Z         {
2022-11-23T01:32:38.4264606Z             #pragma GCC ivdep
2022-11-23T01:32:38.4264691Z             for(long i1=0; i1<10; i1+=1)
2022-11-23T01:32:38.4264754Z             {
2022-11-23T01:32:38.4264818Z                 {
2022-11-23T01:32:38.4264884Z                     {
2022-11-23T01:32:38.4264975Z                         auto tmp0 = in_ptr0[i0 + (10*i1)];
2022-11-23T01:32:38.4265080Z                         auto tmp1 = in_ptr1[(2*i1) + (30*i0)];
2022-11-23T01:32:38.4265175Z                         auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.4265270Z                         out_ptr0[i1 + (10*i0)] = tmp2;
2022-11-23T01:32:38.4265340Z                     }
2022-11-23T01:32:38.4265405Z                 }
2022-11-23T01:32:38.4265467Z             }
2022-11-23T01:32:38.4265516Z         }
2022-11-23T01:32:38.4265578Z     }
2022-11-23T01:32:38.4265637Z }
2022-11-23T01:32:38.4265717Z ''')
2022-11-23T01:32:38.4265724Z 
2022-11-23T01:32:38.4265728Z 
2022-11-23T01:32:38.4265816Z async_compile.wait(globals())
2022-11-23T01:32:38.4265886Z del async_compile
2022-11-23T01:32:38.4265891Z 
2022-11-23T01:32:38.4265960Z def call(args):
2022-11-23T01:32:38.4266022Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.4266093Z     args.clear()
2022-11-23T01:32:38.4266292Z     buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4266491Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.4266557Z     del arg0_1
2022-11-23T01:32:38.4266623Z     del arg1_1
2022-11-23T01:32:38.4266693Z     return (buf0, )
2022-11-23T01:32:38.4266698Z 
2022-11-23T01:32:38.4266701Z 
2022-11-23T01:32:38.4266789Z if __name__ == "__main__":
2022-11-23T01:32:38.4266902Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.4267022Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.4267219Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4267415Z     arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4267528Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.4267533Z 
2022-11-23T01:32:38.4267597Z ok (2.693s)
2022-11-23T01:32:38.4267951Z   test_cpu_transposed_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:32:35,109] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run
2022-11-23T01:32:38.4268222Z [2022-11-23 01:32:35,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297
2022-11-23T01:32:38.4268428Z [2022-11-23 01:32:35,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model []
2022-11-23T01:32:38.4268678Z [2022-11-23 01:32:35,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()]
2022-11-23T01:32:38.4268963Z [2022-11-23 01:32:35,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()]
2022-11-23T01:32:38.4269284Z [2022-11-23 01:32:35,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()]
2022-11-23T01:32:38.4269611Z [2022-11-23 01:32:35,110] torch._dynamo.symbolic_convert: [DEBUG] INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454> 
2022-11-23T01:32:38.4269705Z  456           0 LOAD_FAST                0 (a)
2022-11-23T01:32:38.4269794Z               2 LOAD_FAST                1 (b)
2022-11-23T01:32:38.4269867Z               4 BINARY_ADD
2022-11-23T01:32:38.4269943Z               6 BUILD_TUPLE              1
2022-11-23T01:32:38.4270019Z               8 RETURN_VALUE
2022-11-23T01:32:38.4270078Z  
2022-11-23T01:32:38.4270083Z 
2022-11-23T01:32:38.4270348Z [2022-11-23 01:32:35,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456
2022-11-23T01:32:38.4270555Z [2022-11-23 01:32:35,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a []
2022-11-23T01:32:38.4270788Z [2022-11-23 01:32:35,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()]
2022-11-23T01:32:38.4271059Z [2022-11-23 01:32:35,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()]
2022-11-23T01:32:38.4271298Z [2022-11-23 01:32:35,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()]
2022-11-23T01:32:38.4271540Z [2022-11-23 01:32:35,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4271862Z [2022-11-23 01:32:35,113] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING <code object kernel at 0x7f71f6464c00, file "inductor/test_torchinductor.py", line 454>
2022-11-23T01:32:38.4272106Z [2022-11-23 01:32:35,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()]
2022-11-23T01:32:38.4272340Z [2022-11-23 01:32:35,113] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run
2022-11-23T01:32:38.4272591Z [2022-11-23 01:32:35,115] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper
2022-11-23T01:32:38.4272836Z [2022-11-23 01:32:35,122] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper
2022-11-23T01:32:38.4273022Z [2022-11-23 01:32:35,122] torch._dynamo.output_graph: [CODE] TRACED GRAPH
2022-11-23T01:32:38.4273218Z  __compiled_fn_523 <eval_with_key>.3217 opcode, name, target, args, kwargs
2022-11-23T01:32:38.4273307Z placeholder, ex_0_, ex_0_, (), {}
2022-11-23T01:32:38.4273380Z placeholder, ex_1_, ex_1_, (), {}
2022-11-23T01:32:38.4273587Z call_function, add, <built-in function add>, (ex_0_, ex_1_), {}
2022-11-23T01:32:38.4273683Z output, output, output, ((add,),), {}
2022-11-23T01:32:38.4273688Z 
2022-11-23T01:32:38.4273964Z [2022-11-23 01:32:35,123] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4274059Z 297           0 LOAD_DEREF               0 (model)
2022-11-23T01:32:38.4274150Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4274241Z               4 LOAD_FAST                1 (kwargs)
2022-11-23T01:32:38.4274330Z               6 CALL_FUNCTION_EX         1
2022-11-23T01:32:38.4274391Z               8 RETURN_VALUE
2022-11-23T01:32:38.4274409Z 
2022-11-23T01:32:38.4274459Z  
2022-11-23T01:32:38.4274736Z [2022-11-23 01:32:35,123] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 
2022-11-23T01:32:38.4274844Z 296           0 LOAD_GLOBAL              0 (__compiled_fn_523)
2022-11-23T01:32:38.4274933Z               2 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4275024Z               4 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4275100Z               6 BINARY_SUBSCR
2022-11-23T01:32:38.4275185Z               8 LOAD_FAST                0 (ex)
2022-11-23T01:32:38.4275260Z              10 LOAD_CONST               2 (1)
2022-11-23T01:32:38.4275336Z              12 BINARY_SUBSCR
2022-11-23T01:32:38.4275423Z              14 CALL_FUNCTION            2
2022-11-23T01:32:38.4275526Z              16 STORE_FAST               2 (___graph_out_0)
2022-11-23T01:32:38.4275626Z              18 LOAD_FAST                2 (___graph_out_0)
2022-11-23T01:32:38.4275713Z              20 LOAD_CONST               1 (0)
2022-11-23T01:32:38.4275790Z              22 BINARY_SUBSCR
2022-11-23T01:32:38.4275863Z              24 BUILD_TUPLE              1
2022-11-23T01:32:38.4275937Z              26 RETURN_VALUE
2022-11-23T01:32:38.4275942Z 
2022-11-23T01:32:38.4276001Z  
2022-11-23T01:32:38.4276180Z [2022-11-23 01:32:35,124] torch._dynamo.convert_frame: [CODE] GUARDS:
2022-11-23T01:32:38.4276250Z  - 
2022-11-23T01:32:38.4276367Z             local 'ex' LIST_LENGTH
2022-11-23T01:32:38.4276429Z             {
2022-11-23T01:32:38.4276555Z                 'guard_types': ['LIST_LENGTH'],
2022-11-23T01:32:38.4276738Z                 'code': ['___check_type_id(ex, 94279403893920)', 'len(ex) == 2'],
2022-11-23T01:32:38.4276855Z                 'obj_weakref': None
2022-11-23T01:32:38.4277075Z                 'guarded_class': <weakref at 0x7f71f66978f0; to 'type' at 0x55bf2260f4a0 (tuple)>
2022-11-23T01:32:38.4277269Z             }
2022-11-23T01:32:38.4277332Z             
2022-11-23T01:32:38.4277401Z  - 
2022-11-23T01:32:38.4277513Z             local 'ex[0]' TENSOR_MATCH
2022-11-23T01:32:38.4277577Z             {
2022-11-23T01:32:38.4277717Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4277821Z                 'code': None,
2022-11-23T01:32:38.4278027Z                 'obj_weakref': <weakref at 0x7f7106737b90; to 'Tensor' at 0x7f71c25f3b30>
2022-11-23T01:32:38.4278275Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4278337Z             }
2022-11-23T01:32:38.4278387Z             
2022-11-23T01:32:38.4278455Z  - 
2022-11-23T01:32:38.4278578Z             local 'ex[1]' TENSOR_MATCH
2022-11-23T01:32:38.4278640Z             {
2022-11-23T01:32:38.4278780Z                 'guard_types': ['TENSOR_MATCH'],
2022-11-23T01:32:38.4278886Z                 'code': None,
2022-11-23T01:32:38.4279091Z                 'obj_weakref': <weakref at 0x7f70f2c861d0; to 'Tensor' at 0x7f71069a6110>
2022-11-23T01:32:38.4279324Z                 'guarded_class': <weakref at 0x7f71cee77890; to 'torch._C._TensorMeta' at 0x61900038d6a0 (Tensor)>
2022-11-23T01:32:38.4279442Z             }
2022-11-23T01:32:38.4279503Z             
2022-11-23T01:32:38.4279572Z  - 
2022-11-23T01:32:38.4279700Z             local 'model' FUNCTION_MATCH
2022-11-23T01:32:38.4279762Z             {
2022-11-23T01:32:38.4279938Z                 'guard_types': ['ID_MATCH'],
2022-11-23T01:32:38.4280096Z                 'code': ['___check_obj_id(model, 140126159730880)'],
2022-11-23T01:32:38.4280211Z                 'obj_weakref': None
2022-11-23T01:32:38.4280435Z                 'guarded_class': <weakref at 0x7f71f669ce30; to 'type' at 0x55bf226158a0 (function)>
2022-11-23T01:32:38.4280498Z             }
2022-11-23T01:32:38.4280561Z             
2022-11-23T01:32:38.4280631Z  - 
2022-11-23T01:32:38.4280751Z             local 'kwargs' DICT_KEYS
2022-11-23T01:32:38.4280801Z             {
2022-11-23T01:32:38.4280936Z                 'guard_types': ['DICT_KEYS'],
2022-11-23T01:32:38.4281149Z                 'code': ['___check_type_id(kwargs, 94279403913376)', 'set(kwargs.keys()) == set()'],
2022-11-23T01:32:38.4281269Z                 'obj_weakref': None
2022-11-23T01:32:38.4281482Z                 'guarded_class': <weakref at 0x7f71f668a950; to 'type' at 0x55bf226140a0 (dict)>
2022-11-23T01:32:38.4281544Z             }
2022-11-23T01:32:38.4281607Z             
2022-11-23T01:32:38.4281852Z [2022-11-23 01:32:35,134] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 515
2022-11-23T01:32:38.4282212Z [2022-11-23 01:32:35,147] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7e/c7et6jxda6vx2wwts536d7atkd6tl6nu7h45xusrobydoflm6yym.py
2022-11-23T01:32:38.4282474Z [2022-11-23 01:32:35,147] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 515
2022-11-23T01:32:38.4282481Z 
2022-11-23T01:32:38.4282572Z from ctypes import c_void_p, c_long
2022-11-23T01:32:38.4282639Z import torch
2022-11-23T01:32:38.4282708Z import random
2022-11-23T01:32:38.4282822Z from torch import empty_strided, as_strided, device
2022-11-23T01:32:38.4282943Z from torch._inductor.codecache import AsyncCompile
2022-11-23T01:32:38.4282949Z 
2022-11-23T01:32:38.4283013Z aten = torch.ops.aten
2022-11-23T01:32:38.4283145Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride
2022-11-23T01:32:38.4283239Z async_compile = AsyncCompile()
2022-11-23T01:32:38.4283244Z 
2022-11-23T01:32:38.4283248Z 
2022-11-23T01:32:38.4283380Z kernel_cpp_0 = async_compile.cpp('''
2022-11-23T01:32:38.4283583Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h"
2022-11-23T01:32:38.4283701Z extern "C" void kernel(const float* __restrict__ in_ptr0,
2022-11-23T01:32:38.4283803Z                        const float* __restrict__ in_ptr1,
2022-11-23T01:32:38.4283900Z                        float* __restrict__ out_ptr0)
2022-11-23T01:32:38.4283948Z {
2022-11-23T01:32:38.4284043Z     #pragma omp parallel num_threads(4)
2022-11-23T01:32:38.4284103Z     {
2022-11-23T01:32:38.4284181Z         #pragma omp for 
2022-11-23T01:32:38.4284261Z         for(long i0=0; i0<6; i0+=1)
2022-11-23T01:32:38.4284323Z         {
2022-11-23T01:32:38.4284474Z             auto tmp0 = at::vec::Vectorized<float>::loadu(in_ptr0 + 16*i0);
2022-11-23T01:32:38.4284595Z             auto tmp1 = at::vec::Vectorized<float>::loadu(in_ptr1 + 16*i0);
2022-11-23T01:32:38.4284678Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.4284769Z             tmp2.store(out_ptr0 + 16*i0);
2022-11-23T01:32:38.4284830Z         }
2022-11-23T01:32:38.4284923Z         #pragma omp for simd simdlen(8) 
2022-11-23T01:32:38.4285007Z         for(long i0=96; i0<100; i0+=1)
2022-11-23T01:32:38.4285067Z         {
2022-11-23T01:32:38.4285137Z             auto tmp0 = in_ptr0[i0];
2022-11-23T01:32:38.4285217Z             auto tmp1 = in_ptr1[i0];
2022-11-23T01:32:38.4285298Z             auto tmp2 = tmp0 + tmp1;
2022-11-23T01:32:38.4285376Z             out_ptr0[i0] = tmp2;
2022-11-23T01:32:38.4285437Z         }
2022-11-23T01:32:38.4285526Z     }
2022-11-23T01:32:38.4285584Z }
2022-11-23T01:32:38.4285650Z ''')
2022-11-23T01:32:38.4285655Z 
2022-11-23T01:32:38.4285659Z 
2022-11-23T01:32:38.4285747Z async_compile.wait(globals())
2022-11-23T01:32:38.4285817Z del async_compile
2022-11-23T01:32:38.4285822Z 
2022-11-23T01:32:38.4285891Z def call(args):
2022-11-23T01:32:38.4286006Z     arg0_1, arg1_1 = args
2022-11-23T01:32:38.4286077Z     args.clear()
2022-11-23T01:32:38.4286277Z     buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4286436Z     kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()))
2022-11-23T01:32:38.4286492Z     del arg0_1
2022-11-23T01:32:38.4286556Z     del arg1_1
2022-11-23T01:32:38.4286626Z     return (buf0, )
2022-11-23T01:32:38.4286631Z 
2022-11-23T01:32:38.4286634Z 
2022-11-23T01:32:38.4286709Z if __name__ == "__main__":
2022-11-23T01:32:38.4286821Z     from torch._dynamo.testing import rand_strided
2022-11-23T01:32:38.4286944Z     from torch._inductor.utils import print_performance
2022-11-23T01:32:38.4287142Z     arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4287325Z     arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32)
2022-11-23T01:32:38.4287439Z     print_performance(lambda: call([arg0_1, arg1_1]))
2022-11-23T01:32:38.4287444Z 
2022-11-23T01:32:38.4287508Z ok (0.050s)
2022-11-23T01:32:38.4287655Z   test_indexing_join (__main__.TestIndexingSimplification) ... ok (0.090s)
2022-11-23T01:32:38.4287822Z   test_indexing_simplification (__main__.TestIndexingSimplification) ... ok (0.086s)
2022-11-23T01:32:38.4287827Z 
2022-11-23T01:32:38.4288023Z ----------------------------------------------------------------------
2022-11-23T01:32:38.4288102Z Ran 341 tests in 1148.961s
2022-11-23T01:32:38.4288107Z 
2022-11-23T01:32:38.4288178Z OK (skipped=17)
2022-11-23T01:32:38.4288183Z 
2022-11-23T01:32:38.4288266Z Generating XML reports...
2022-11-23T01:32:38.4288560Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-CPUReproTests-20221123011326.xml
2022-11-23T01:32:38.4288848Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-CpuTests-20221123011326.xml
2022-11-23T01:32:38.4289166Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-SweepInputsCpuTest-20221123011326.xml
2022-11-23T01:32:38.4289555Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-TestIndexingSimplification-20221123011326.xml
2022-11-23T01:32:38.4289561Z 
2022-11-23T01:32:38.4289928Z ##[endgroup]
2022-11-23T01:32:38.4290255Z FINISHED PRINTING LOG FILE of inductor/test_torchinductor (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_o_mfo_yw)
2022-11-23T01:32:38.4290261Z 
2022-11-23T01:32:40.5442555Z 
2022-11-23T01:32:40.5443498Z Expand the folded group to see the log file of profiler/test_profiler
2022-11-23T01:32:40.5444464Z ##[group]PRINTING LOG FILE of profiler/test_profiler (/var/lib/jenkins/workspace/test/test-reports/profiler-test_profiler_4myddwx1)
2022-11-23T01:32:40.5445624Z Test results will be stored in test-reports/python-unittest/profiler.test_profiler
2022-11-23T01:32:40.5446245Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:32:40.5446487Z 
2022-11-23T01:32:40.5446616Z Running tests...
2022-11-23T01:32:40.5447091Z ----------------------------------------------------------------------
2022-11-23T01:32:40.5447609Z   test_execution_graph_alone (__main__.TestExecutionGraph) ... ok (0.039s)
2022-11-23T01:32:40.5448133Z   test_execution_graph_no_capture (__main__.TestExecutionGraph) ... ok (0.002s)
2022-11-23T01:32:40.5448683Z   test_execution_graph_repeat_in_loop (__main__.TestExecutionGraph) ... ok (0.029s)
2022-11-23T01:32:40.5449204Z   test_execution_graph_start_stop (__main__.TestExecutionGraph) ... ok (0.025s)
2022-11-23T01:32:40.5449835Z   test_execution_graph_with_kineto (__main__.TestExecutionGraph) ... [W kineto_shim.cpp:330] Profiler is not initialized: skipping step() invocation
2022-11-23T01:32:40.5450711Z [W kineto_shim.cpp:330] Profiler is not initialized: skipping step() invocation
2022-11-23T01:32:40.5451238Z [W kineto_shim.cpp:330] Profiler is not initialized: skipping step() invocation
2022-11-23T01:32:40.5452173Z STAGE:2022-11-23 01:32:26 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5453009Z STAGE:2022-11-23 01:32:26 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5453845Z STAGE:2022-11-23 01:32:26 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5454645Z STAGE:2022-11-23 01:32:26 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5455457Z STAGE:2022-11-23 01:32:26 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5456297Z STAGE:2022-11-23 01:32:26 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5456799Z ok (0.151s)
2022-11-23T01:32:40.5457196Z   test_bfs (__main__.TestExperimentalUtils) ... ok (0.001s)
2022-11-23T01:32:40.5457717Z   test_dfs (__main__.TestExperimentalUtils) ... ok (0.001s)
2022-11-23T01:32:40.5459452Z   test_profiler_conv2d_bias_followed_by_batchnorm2d_pattern (__main__.TestExperimentalUtils) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82720 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:32:40.5460736Z   test_profiler_extra_cuda_copy_pattern (__main__.TestExperimentalUtils) ... skip: CUDA is required (0.002s)
2022-11-23T01:32:40.5461472Z   test_profiler_extra_cuda_copy_pattern_benchmark (__main__.TestExperimentalUtils) ... skip: CUDA is required (0.001s)
2022-11-23T01:32:40.5463463Z   test_profiler_for_loop_indexing_pattern (__main__.TestExperimentalUtils) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/83491 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s)
2022-11-23T01:32:40.5464776Z   test_profiler_fp32_matmul_pattern (__main__.TestExperimentalUtils) ... skip: CUDA is required (0.001s)
2022-11-23T01:32:40.5465902Z   test_profiler_grad_not_set_to_none_pattern (__main__.TestExperimentalUtils) ... STAGE:2022-11-23 01:32:26 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5466866Z STAGE:2022-11-23 01:32:26 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5467832Z STAGE:2022-11-23 01:32:26 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5468670Z STAGE:2022-11-23 01:32:26 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5469483Z STAGE:2022-11-23 01:32:26 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5470319Z STAGE:2022-11-23 01:32:26 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5471140Z STAGE:2022-11-23 01:32:26 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5471944Z STAGE:2022-11-23 01:32:26 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5472793Z STAGE:2022-11-23 01:32:26 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5473590Z STAGE:2022-11-23 01:32:26 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5474400Z STAGE:2022-11-23 01:32:26 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5475238Z STAGE:2022-11-23 01:32:26 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5475857Z ok (0.302s)
2022-11-23T01:32:40.5476384Z   test_profiler_matmul_dim_fp16_pattern (__main__.TestExperimentalUtils) ... skip: CUDA is required (0.001s)
2022-11-23T01:32:40.5477745Z   test_profiler_name_pattern (__main__.TestExperimentalUtils) ... STAGE:2022-11-23 01:32:26 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5478679Z STAGE:2022-11-23 01:32:32 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5479494Z STAGE:2022-11-23 01:32:32 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5479986Z ok (5.478s)
2022-11-23T01:32:40.5481587Z   test_profiler_optimizer_single_tensor_pattern (__main__.TestExperimentalUtils) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82914 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s)
2022-11-23T01:32:40.5483214Z   test_profiler_pattern_match_helper (__main__.TestExperimentalUtils) ... STAGE:2022-11-23 01:32:32 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5484184Z STAGE:2022-11-23 01:32:32 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5484999Z STAGE:2022-11-23 01:32:32 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5485498Z ok (0.011s)
2022-11-23T01:32:40.5486406Z   test_profiler_pattern_matcher_json_report (__main__.TestExperimentalUtils) ... STAGE:2022-11-23 01:32:32 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5487352Z STAGE:2022-11-23 01:32:32 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5488191Z STAGE:2022-11-23 01:32:32 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5488688Z ok (0.110s)
2022-11-23T01:32:40.5489611Z   test_profiler_synchronized_dataloader_pattern (__main__.TestExperimentalUtils) ... STAGE:2022-11-23 01:32:32 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5490638Z [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2022-11-23T01:32:40.5491711Z [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2022-11-23T01:32:40.5492772Z [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2022-11-23T01:32:40.5493838Z [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads)
2022-11-23T01:32:40.5494856Z STAGE:2022-11-23 01:32:32 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5495692Z STAGE:2022-11-23 01:32:32 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5496200Z ok (0.353s)
2022-11-23T01:32:40.5496663Z   test_utils_compute_idle_time (__main__.TestExperimentalUtils) ... ok (0.002s)
2022-11-23T01:32:40.5497253Z   test_utils_compute_queue_depth (__main__.TestExperimentalUtils) ... ok (0.002s)
2022-11-23T01:32:40.5498353Z   test_utils_compute_queue_depth_when_no_cuda_events (__main__.TestExperimentalUtils) ... STAGE:2022-11-23 01:32:32 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5499358Z STAGE:2022-11-23 01:32:32 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5500328Z STAGE:2022-11-23 01:32:32 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5500800Z ok (0.098s)
2022-11-23T01:32:40.5501713Z   test_utils_compute_self_time (__main__.TestExperimentalUtils) ... STAGE:2022-11-23 01:32:32 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5502670Z STAGE:2022-11-23 01:32:32 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5503503Z STAGE:2022-11-23 01:32:32 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5503997Z ok (0.024s)
2022-11-23T01:32:40.5504568Z   test_utils_get_optimizable_events (__main__.TestExperimentalUtils) ... ok (0.013s)
2022-11-23T01:32:40.5505173Z   test_utils_intervals_overlap (__main__.TestExperimentalUtils) ... 5
2022-11-23T01:32:40.5505604Z ok (0.001s)
2022-11-23T01:32:40.5506417Z   test_export_stacks (__main__.TestProfiler) ... STAGE:2022-11-23 01:32:32 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5507305Z STAGE:2022-11-23 01:32:32 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5508132Z STAGE:2022-11-23 01:32:32 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5508632Z ok (0.008s)
2022-11-23T01:32:40.5509398Z   test_flops (__main__.TestProfiler) ... STAGE:2022-11-23 01:32:32 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5510274Z STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5511103Z STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5511594Z ok (0.233s)
2022-11-23T01:32:40.5511980Z   test_high_level_trace (__main__.TestProfiler)
2022-11-23T01:32:40.5512874Z Checks that python side high level events are recorded. ... STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5513799Z STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5514650Z STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5515483Z STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5516272Z STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5517250Z STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5518078Z STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5518889Z STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5519736Z STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5520238Z ok (0.551s)
2022-11-23T01:32:40.5521691Z   test_kineto (__main__.TestProfiler) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/88377 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s)
2022-11-23T01:32:40.5522807Z   test_kineto_multigpu (__main__.TestProfiler) ... skip: Multiple GPUs needed (0.001s)
2022-11-23T01:32:40.5523759Z   test_kineto_profiler_api (__main__.TestProfiler) ... STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5524673Z STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5525627Z STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5526449Z STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5527304Z STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5528144Z STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5528962Z STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5529754Z STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5530593Z STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5531418Z STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5532232Z STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5533038Z STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5533543Z ok (0.032s)
2022-11-23T01:32:40.5535019Z   test_memory_profiler (__main__.TestProfiler) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/72280 for platform(s) linux, mac. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.005s)
2022-11-23T01:32:40.5536487Z   test_module_hierarchy (__main__.TestProfiler) ... STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5537365Z STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5538220Z STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5538721Z ok (0.111s)
2022-11-23T01:32:40.5539555Z   test_nested_tensor_with_shapes (__main__.TestProfiler) ... STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5540443Z STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5541293Z STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5542256Z profiler/test_profiler.py:1271: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.)
2022-11-23T01:32:40.5543084Z   inp = torch.nested.nested_tensor([a, b])
2022-11-23T01:32:40.5543449Z ok (0.010s)
2022-11-23T01:32:40.5543856Z   test_oom_tracing (__main__.TestProfiler) ... ok (0.002s)
2022-11-23T01:32:40.5544356Z   test_profiler_correlation_id (__main__.TestProfiler)
2022-11-23T01:32:40.5545455Z We expect the correlation_id to be unique across multiple invokation of the profiler, ... STAGE:2022-11-23 01:32:33 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5546445Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5547281Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5548113Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5548918Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5549761Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5550680Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5551494Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5552373Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5553209Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5554019Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5554845Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5555658Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5556462Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5557446Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5557923Z ok (0.729s)
2022-11-23T01:32:40.5558683Z   test_profiler_fwd_bwd_link (__main__.TestProfiler) ... skip: Disable forward->backward link to workaround profiler crash (0.002s)
2022-11-23T01:32:40.5559731Z   test_profiler_metadata (__main__.TestProfiler) ... STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5560620Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5561440Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5561928Z ok (0.003s)
2022-11-23T01:32:40.5562711Z   test_profiler_tracing (__main__.TestProfiler) ... STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5563606Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5564445Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5565267Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5566075Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5566905Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5567713Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5568506Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5569323Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5570136Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5570943Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5571769Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5572237Z ok (0.009s)
2022-11-23T01:32:40.5573039Z   test_profiler_type (__main__.TestProfiler) ... STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5573943Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5574778Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5575262Z ok (0.003s)
2022-11-23T01:32:40.5575616Z   test_source (__main__.TestProfiler)
2022-11-23T01:32:40.5576559Z Checks that source code attribution works for eager, TS and autograd mode ... STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5577648Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5578551Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5579056Z ok (0.061s)
2022-11-23T01:32:40.5579893Z   test_tensorboard_trace_handler (__main__.TestProfiler) ... STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5580803Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5581652Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5582485Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5583301Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5584126Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5585071Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5585879Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5586703Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5587523Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5588341Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5589179Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5589988Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5590804Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5591648Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5592440Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5593247Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5594085Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5594913Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5595715Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5596564Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5597052Z ok (0.049s)
2022-11-23T01:32:40.5597701Z   test_custom_module_input_op_ids (__main__.TestProfilerCUDA) ... skip: Cannot test with ASAN (0.001s)
2022-11-23T01:32:40.5598238Z   test_mem_leak (__main__.TestProfilerCUDA)
2022-11-23T01:32:40.5598967Z Checks that there's no memory leak when using profiler with CUDA ... skip: Cannot test with ASAN (0.001s)
2022-11-23T01:32:40.5599603Z   test_custom_module_input_op_ids (__main__.TestProfilerITT) ... ok (0.003s)
2022-11-23T01:32:40.5600204Z   test_datapipe_delegation_with_profiler (__main__.TestRecordFunction) ... ok (0.003s)
2022-11-23T01:32:40.5601236Z   test_datapipe_with_record_function (__main__.TestRecordFunction) ... STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5602193Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5603202Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5603683Z ok (0.023s)
2022-11-23T01:32:40.5604637Z   test_datapipe_with_record_function_fork (__main__.TestRecordFunction) ... STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5605593Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5606445Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5606927Z ok (0.021s)
2022-11-23T01:32:40.5607748Z   test_record_function (__main__.TestRecordFunction) ... STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5608665Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5609500Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5609996Z ok (0.006s)
2022-11-23T01:32:40.5610861Z   test_allocation_id_uniqueness (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5611813Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5612639Z STAGE:2022-11-23 01:32:34 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5613139Z ok (1.011s)
2022-11-23T01:32:40.5613990Z   test_allocation_ids (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:32:35 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5614909Z STAGE:2022-11-23 01:32:35 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5615775Z STAGE:2022-11-23 01:32:35 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5616261Z ok (0.181s)
2022-11-23T01:32:40.5617162Z   test_allocation_ids_with_other_ops (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:32:35 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5618101Z STAGE:2022-11-23 01:32:36 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5618948Z STAGE:2022-11-23 01:32:36 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5619439Z ok (0.158s)
2022-11-23T01:32:40.5620253Z   test_allocations (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:32:36 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5621181Z STAGE:2022-11-23 01:32:36 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5622038Z STAGE:2022-11-23 01:32:36 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5622859Z STAGE:2022-11-23 01:32:36 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5623659Z STAGE:2022-11-23 01:32:36 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5624570Z STAGE:2022-11-23 01:32:36 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5625062Z ok (0.152s)
2022-11-23T01:32:40.5626547Z   test_extra_fields (__main__.TestTorchTidyProfiler) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82719 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s)
2022-11-23T01:32:40.5628011Z   test_impl_reuse (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:32:36 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5629006Z STAGE:2022-11-23 01:32:36 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5629890Z STAGE:2022-11-23 01:32:36 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5630396Z ok (0.886s)
2022-11-23T01:32:40.5631021Z   test_mkldnn_tensors (__main__.TestTorchTidyProfiler) ... skip: MKL-DNN build is disabled (0.002s)
2022-11-23T01:32:40.5632734Z   test_module_and_optimizer_ids (__main__.TestTorchTidyProfiler) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/87581 for platform(s) linux, win, windows. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.003s)
2022-11-23T01:32:40.5634272Z   test_nnmodule_params (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:32:37 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5635182Z STAGE:2022-11-23 01:32:37 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5636011Z STAGE:2022-11-23 01:32:37 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5637421Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:32:40.5638275Z   warnings.warn(message, UserWarning)
2022-11-23T01:32:40.5638644Z ok (0.034s)
2022-11-23T01:32:40.5639457Z   test_optimizer (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:32:37 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5640363Z STAGE:2022-11-23 01:32:37 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5641202Z STAGE:2022-11-23 01:32:37 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5641693Z ok (0.060s)
2022-11-23T01:32:40.5642516Z   test_optimizer_parameters_adam (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:32:37 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5643482Z STAGE:2022-11-23 01:32:37 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5644334Z STAGE:2022-11-23 01:32:37 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5644827Z ok (0.204s)
2022-11-23T01:32:40.5645678Z   test_optimizer_parameters_sgd (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:32:37 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5646633Z STAGE:2022-11-23 01:32:37 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5647478Z STAGE:2022-11-23 01:32:37 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5647953Z ok (0.102s)
2022-11-23T01:32:40.5648807Z   test_pointers_and_ids (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:32:37 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5649721Z [W CPUAllocator.cpp:231] Memory block of unknown size was allocated before the profiling started, profiler results will not include the deallocation event
2022-11-23T01:32:40.5650664Z STAGE:2022-11-23 01:32:37 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5651493Z STAGE:2022-11-23 01:32:37 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5651986Z ok (0.014s)
2022-11-23T01:32:40.5653463Z   test_scalar_ins (__main__.TestTorchTidyProfiler) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/83247 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s)
2022-11-23T01:32:40.5655160Z   test_sparse_tensors (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:32:37 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5656071Z STAGE:2022-11-23 01:32:37 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5656917Z STAGE:2022-11-23 01:32:37 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5657411Z ok (0.028s)
2022-11-23T01:32:40.5658236Z   test_tensor_lists (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:32:37 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5659141Z STAGE:2022-11-23 01:32:37 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5659993Z STAGE:2022-11-23 01:32:37 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5660488Z ok (0.010s)
2022-11-23T01:32:40.5661989Z   test_tensor_properties (__main__.TestTorchTidyProfiler) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/83113 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.004s)
2022-11-23T01:32:40.5663517Z   test_tensorimpl_invalidation_full (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:32:37 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5664556Z STAGE:2022-11-23 01:32:38 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5665404Z STAGE:2022-11-23 01:32:38 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5665907Z ok (0.506s)
2022-11-23T01:32:40.5666775Z   test_tensorimpl_invalidation_keep_alive (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:32:38 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5667743Z STAGE:2022-11-23 01:32:38 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5668584Z STAGE:2022-11-23 01:32:38 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5669406Z STAGE:2022-11-23 01:32:38 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5670216Z STAGE:2022-11-23 01:32:39 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5671057Z STAGE:2022-11-23 01:32:39 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5671551Z ok (1.113s)
2022-11-23T01:32:40.5672417Z   test_tensorimpl_invalidation_scalar_args (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:32:39 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5673393Z STAGE:2022-11-23 01:32:39 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5674025Z STAGE:2022-11-23 01:32:39 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5674350Z ok (0.174s)
2022-11-23T01:32:40.5674999Z   test_tensorimpl_invalidation_set (__main__.TestTorchTidyProfiler) ... STAGE:2022-11-23 01:32:39 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5675665Z STAGE:2022-11-23 01:32:39 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5676311Z STAGE:2022-11-23 01:32:39 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5676952Z STAGE:2022-11-23 01:32:39 4403:4403 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T01:32:40.5677811Z STAGE:2022-11-23 01:32:39 4403:4403 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T01:32:40.5678455Z STAGE:2022-11-23 01:32:39 4403:4403 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T01:32:40.5678818Z ok (0.316s)
2022-11-23T01:32:40.5679058Z 
2022-11-23T01:32:40.5679333Z ----------------------------------------------------------------------
2022-11-23T01:32:40.5679690Z Ran 70 tests in 13.486s
2022-11-23T01:32:40.5679857Z 
2022-11-23T01:32:40.5679961Z OK (skipped=18)
2022-11-23T01:32:40.5680103Z 
2022-11-23T01:32:40.5680220Z Generating XML reports...
2022-11-23T01:32:40.5680828Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestExecutionGraph-20221123013226.xml
2022-11-23T01:32:40.5681644Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestExperimentalUtils-20221123013226.xml
2022-11-23T01:32:40.5682404Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestProfiler-20221123013226.xml
2022-11-23T01:32:40.5683163Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestProfilerITT-20221123013226.xml
2022-11-23T01:32:40.5683976Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestRecordFunction-20221123013226.xml
2022-11-23T01:32:40.5684785Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestTorchTidyProfiler-20221123013226.xml
2022-11-23T01:32:40.5685572Z Generated XML report: test-reports/python-unittest/profiler.test_profiler/TEST-TestProfilerCUDA-20221123013226.xml
2022-11-23T01:32:40.5685913Z 
2022-11-23T01:32:40.5686342Z ##[endgroup]
2022-11-23T01:32:40.5686919Z FINISHED PRINTING LOG FILE of profiler/test_profiler (/var/lib/jenkins/workspace/test/test-reports/profiler-test_profiler_4myddwx1)
2022-11-23T01:32:40.5687254Z 
2022-11-23T01:32:41.9758726Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:32:42.1446345Z Ignoring disabled issues:  []
2022-11-23T01:32:42.1654704Z Running test_stateless ... [2022-11-23 01:32:42.165137]
2022-11-23T01:32:42.1701744Z Executing ['/opt/conda/bin/python', '-bb', 'test_stateless.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:42.165447]
2022-11-23T01:32:45.5229684Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:32:45.6935149Z Ignoring disabled issues:  []
2022-11-23T01:32:45.7148814Z Running dynamo/test_repros ... [2022-11-23 01:32:45.714506]
2022-11-23T01:32:45.7150833Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_repros.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:32:45.714829]
2022-11-23T01:33:00.1693419Z 
2022-11-23T01:33:00.1693973Z Expand the folded group to see the log file of test_stateless
2022-11-23T01:33:00.1694850Z ##[group]PRINTING LOG FILE of test_stateless (/var/lib/jenkins/workspace/test/test-reports/test_stateless_lann_xdj)
2022-11-23T01:33:00.1695400Z Test results will be stored in test-reports/python-unittest/test_stateless
2022-11-23T01:33:00.1695583Z 
2022-11-23T01:33:00.1695655Z Running tests...
2022-11-23T01:33:00.1695960Z ----------------------------------------------------------------------
2022-11-23T01:33:00.1696291Z   test_runs_with_optimize_flag (__main__.TestPythonOptimizeMode) ... ok (8.211s)
2022-11-23T01:33:00.1696608Z   test_private_stateless_warns (__main__.TestStatelessDeprecation) ... ok (4.249s)
2022-11-23T01:33:00.1696942Z   test_circular_references (__main__.TestStatelessFunctionalAPI) ... ok (0.032s)
2022-11-23T01:33:00.1697271Z   test_functional_batch_norm (__main__.TestStatelessFunctionalAPI) ... ok (0.010s)
2022-11-23T01:33:00.1697586Z   test_functional_call (__main__.TestStatelessFunctionalAPI) ... ok (0.005s)
2022-11-23T01:33:00.1698060Z   test_functional_call_with_data_parallel (__main__.TestStatelessFunctionalAPI) ... skip: multi-GPU not supported (0.001s)
2022-11-23T01:33:00.1698442Z   test_functional_call_with_gradient (__main__.TestStatelessFunctionalAPI) ... ok (0.004s)
2022-11-23T01:33:00.1698978Z   test_functional_call_with_jit (__main__.TestStatelessFunctionalAPI) ... ok (0.500s)
2022-11-23T01:33:00.1699326Z   test_reparamertize_module_fail_reset_to_original (__main__.TestStatelessFunctionalAPI) ... ok (0.025s)
2022-11-23T01:33:00.1699788Z   test_reparametrized_module_change_parametrization_original (__main__.TestStatelessFunctionalAPI) ... ok (0.011s)
2022-11-23T01:33:00.1700147Z   test_setattr (__main__.TestStatelessFunctionalAPI) ... ok (0.003s)
2022-11-23T01:33:00.1700449Z   test_tied_weights_warns (__main__.TestStatelessFunctionalAPI) ... ok (0.004s)
2022-11-23T01:33:00.1700631Z 
2022-11-23T01:33:00.1700830Z ----------------------------------------------------------------------
2022-11-23T01:33:00.1701077Z Ran 12 tests in 13.057s
2022-11-23T01:33:00.1701193Z 
2022-11-23T01:33:00.1701265Z OK (skipped=1)
2022-11-23T01:33:00.1701371Z 
2022-11-23T01:33:00.1701477Z Generating XML reports...
2022-11-23T01:33:00.1701916Z Generated XML report: test-reports/python-unittest/test_stateless/TEST-TestPythonOptimizeMode-20221123013246.xml
2022-11-23T01:33:00.1702470Z Generated XML report: test-reports/python-unittest/test_stateless/TEST-TestStatelessDeprecation-20221123013246.xml
2022-11-23T01:33:00.1703039Z Generated XML report: test-reports/python-unittest/test_stateless/TEST-TestStatelessFunctionalAPI-20221123013246.xml
2022-11-23T01:33:00.1703284Z 
2022-11-23T01:33:00.1703511Z ##[endgroup]
2022-11-23T01:33:00.1703887Z FINISHED PRINTING LOG FILE of test_stateless (/var/lib/jenkins/workspace/test/test-reports/test_stateless_lann_xdj)
2022-11-23T01:33:00.1704100Z 
2022-11-23T01:33:05.1211608Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:33:05.2869560Z Ignoring disabled issues:  []
2022-11-23T01:33:05.3080648Z Running test_scatter_gather_ops ... [2022-11-23 01:33:05.307692]
2022-11-23T01:33:05.3082312Z Executing ['/opt/conda/bin/python', '-bb', 'test_scatter_gather_ops.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:33:05.308004]
2022-11-23T01:33:06.3448177Z 
2022-11-23T01:33:06.3449247Z Expand the folded group to see the log file of dynamo/test_repros
2022-11-23T01:33:06.3450394Z ##[group]PRINTING LOG FILE of dynamo/test_repros (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_repros_s6w1vk6v)
2022-11-23T01:33:06.3451292Z Test results will be stored in test-reports/python-unittest/dynamo.test_repros
2022-11-23T01:33:06.3451607Z 
2022-11-23T01:33:06.3451723Z Running tests...
2022-11-23T01:33:06.3452213Z ----------------------------------------------------------------------
2022-11-23T01:33:06.3452643Z   test_Size (__main__.ReproTests) ... ok (0.459s)
2022-11-23T01:33:06.3453191Z   test_abc_setattr (__main__.ReproTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:33:06.3453887Z inline_call [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.7/unittest/case.py', 1)]
2022-11-23T01:33:06.3454345Z unimplemented []
2022-11-23T01:33:06.3454931Z graph_break [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.7/unittest/case.py', 1)]
2022-11-23T01:33:06.3455562Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:33:06.3456034Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:33:06.3456355Z unimplemented []
2022-11-23T01:33:06.3457140Z graph_break [('setattr(UserDefinedObjectVariable) <function ReproTests.test_abc_setattr.<locals>.Derived.__setattr__ at 0x7f6b7aa29710>', 1)]
2022-11-23T01:33:06.3457735Z inline_call []
2022-11-23T01:33:06.3458307Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:33:06.3458724Z ok (0.031s)
2022-11-23T01:33:06.3459148Z   test_batch_norm_act (__main__.ReproTests) ... inline_call []
2022-11-23T01:33:06.3459809Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:33:06.3460218Z ok (0.059s)
2022-11-23T01:33:06.3460834Z   test_bigbird_unsqueeze_inplace (__main__.ReproTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:33:06.3461780Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:33:06.3462310Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T01:33:06.3462658Z ok (0.700s)
2022-11-23T01:33:06.3463056Z   test_boxes_len (__main__.ReproTests) ... inline_call []
2022-11-23T01:33:06.3463775Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:33:06.3464190Z ok (0.014s)
2022-11-23T01:33:06.3464709Z   test_chunk_reformer_ff (__main__.ReproTests) ... inline_call []
2022-11-23T01:33:06.3465371Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:33:06.3465782Z ok (0.367s)
2022-11-23T01:33:06.3466485Z   test_class_member (__main__.ReproTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:33:06.3466999Z ok (0.017s)
2022-11-23T01:33:06.3467600Z   test_convert_boxes_to_pooler_format (__main__.ReproTests) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:33:06.3468072Z inline_call []
2022-11-23T01:33:06.3468416Z unimplemented []
2022-11-23T01:33:06.3468925Z graph_break [('dynamic shapes: repeat_interleave', 2)]
2022-11-23T01:33:06.3469572Z stats [('calls_captured', 10), ('fusions_possible', 6), ('unique_graphs', 4)]
2022-11-23T01:33:06.3469998Z ok (0.079s)
2022-11-23T01:33:06.3470444Z   test_create_rand_mask_from_inputs (__main__.ReproTests) ... inline_call []
2022-11-23T01:33:06.3471113Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)]
2022-11-23T01:33:06.3471540Z ok (1.321s)
2022-11-23T01:33:06.3471930Z   test_dict_iter (__main__.ReproTests) ... ok (0.006s)
2022-11-23T01:33:06.3472558Z   test_dict_list_values (__main__.ReproTests) ... frames [('total', 8), ('ok', 8)]
2022-11-23T01:33:06.3473007Z unimplemented []
2022-11-23T01:33:06.3473868Z graph_break [('call_function in skip_files Builtin count', 2), ('call_function BuiltinVariable(zip) [UserDefinedObjectVariable(count), ListVariable()] {}', 2)]
2022-11-23T01:33:06.3474465Z ok (0.026s)
2022-11-23T01:33:06.3475026Z   test_do_paste_mask (__main__.ReproTests) ... frames [('total', 12), ('ok', 11)]
2022-11-23T01:33:06.3475646Z unimplemented [('Dynamic slicing not supported', 1)]
2022-11-23T01:33:06.3476322Z graph_break [('dynamic shapes: arange', 6), ('Dynamic slicing not supported', 4)]
2022-11-23T01:33:06.3477026Z stats [('calls_captured', 159), ('fusions_possible', 148), ('unique_graphs', 11)]
2022-11-23T01:33:06.3477679Z ok (1.178s)
2022-11-23T01:33:06.3478368Z   test_ellipsis (__main__.ReproTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:33:06.3478844Z ok (0.044s)
2022-11-23T01:33:06.3479390Z   test_exec_import (__main__.ReproTests) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:33:06.3480084Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:33:06.3480548Z unimplemented []
2022-11-23T01:33:06.3481171Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:33:06.3481641Z ok (0.009s)
2022-11-23T01:33:06.3482200Z   test_exec_wildcard_import (__main__.ReproTests) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:33:06.3482922Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:33:06.3483403Z unimplemented []
2022-11-23T01:33:06.3484020Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:33:06.3484714Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:33:06.3485147Z ok (0.021s)
2022-11-23T01:33:06.3485728Z   test_for_loop_graph_break (__main__.ReproTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:33:06.3486158Z inline_call []
2022-11-23T01:33:06.3486869Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.7/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T01:33:06.3487643Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:33:06.3488247Z ok (0.018s)
2022-11-23T01:33:06.3488829Z   test_for_loop_graph_break_before (__main__.ReproTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:33:06.3489295Z unimplemented []
2022-11-23T01:33:06.3490010Z graph_break [('call_function in skip_files /opt/conda/lib/python3.7/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T01:33:06.3490602Z inline_call []
2022-11-23T01:33:06.3491184Z stats [('calls_captured', 100), ('fusions_possible', 99), ('unique_graphs', 1)]
2022-11-23T01:33:06.3491625Z ok (0.230s)
2022-11-23T01:33:06.3492033Z   test_get_parameter_dtype (__main__.ReproTests) ... inline_call []
2022-11-23T01:33:06.3492695Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:33:06.3493122Z ok (0.016s)
2022-11-23T01:33:06.3493592Z   test_grad_mode_carrying_correct_state_after_graph_break (__main__.ReproTests) ... Break
2022-11-23T01:33:06.3494159Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:33:06.3494525Z unimplemented []
2022-11-23T01:33:06.3495130Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:33:06.3495834Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)]
2022-11-23T01:33:06.3496269Z ok (0.017s)
2022-11-23T01:33:06.3496861Z   test_guard_fail_nested_tuple (__main__.ReproTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:33:06.3497519Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:33:06.3497950Z ok (0.022s)
2022-11-23T01:33:06.3498545Z   test_guard_fail_tensor_bool (__main__.ReproTests) ... frames [('total', 12), ('ok', 12)]
2022-11-23T01:33:06.3499233Z unimplemented [('FOR_ITER UserDefinedObjectVariable(product)', 1)]
2022-11-23T01:33:06.3500416Z graph_break [('call torch._dynamo.disable() wrapped function <function ReproTests.test_guard_fail_tensor_bool.<locals>.fn.<locals>.get_expected at 0x7f6b68f5a290>', 5), ('data dependent operator: aten.allclose.default', 5)]
2022-11-23T01:33:06.3501361Z stats [('calls_captured', 5), ('unique_graphs', 5), ('fusions_possible', 0)]
2022-11-23T01:33:06.3501801Z ok (0.096s)
2022-11-23T01:33:06.3502217Z   test_guard_ordering_shape_fail (__main__.ReproTests) ... ok (0.002s)
2022-11-23T01:33:06.3502741Z   test_hf_model_output (__main__.ReproTests) ... inline_call []
2022-11-23T01:33:06.3503400Z stats [('calls_captured', 4), ('unique_graphs', 4), ('fusions_possible', 0)]
2022-11-23T01:33:06.3503812Z ok (0.079s)
2022-11-23T01:33:06.3504218Z   test_hf_t5_forward (__main__.ReproTests) ... inline_call []
2022-11-23T01:33:06.3504953Z stats [('calls_captured', 11), ('fusions_possible', 10), ('unique_graphs', 1)]
2022-11-23T01:33:06.3505370Z ok (4.708s)
2022-11-23T01:33:06.3505941Z   test_indexing_with_list (__main__.ReproTests) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:33:06.3506492Z inline_call [('Tensor.numpy', 1)]
2022-11-23T01:33:06.3506872Z unimplemented []
2022-11-23T01:33:06.3507302Z graph_break [('Tensor.numpy', 1)]
2022-11-23T01:33:06.3507909Z stats [('unique_graphs', 2), ('calls_captured', 0), ('fusions_possible', -2)]
2022-11-23T01:33:06.3508358Z ok (0.026s)
2022-11-23T01:33:06.3508756Z   test_is_symbolic_tracing (__main__.ReproTests) ... inline_call []
2022-11-23T01:33:06.3509426Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:33:06.3509856Z ok (0.009s)
2022-11-23T01:33:06.3510254Z   test_isinstance_dtype (__main__.ReproTests) ... ok (0.004s)
2022-11-23T01:33:06.3510918Z   test_isinstance_storage (__main__.ReproTests) ... frames [('total', 12), ('ok', 11)]
2022-11-23T01:33:06.3511382Z unimplemented []
2022-11-23T01:33:06.3512284Z graph_break [('call_function BuiltinVariable(bytearray) [ListVariable()] {}', 1), ('inline in skipfiles: from_buffer /opt/conda/lib/python3.7/site-packages/torch/storage.py', 1)]
2022-11-23T01:33:06.3513293Z inline_call [('inline in skipfiles: from_buffer /opt/conda/lib/python3.7/site-packages/torch/storage.py', 1)]
2022-11-23T01:33:06.3514640Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:33:06.3515619Z   warnings.warn(message, UserWarning)
2022-11-23T01:33:06.3516007Z expected failure (0.018s)
2022-11-23T01:33:06.3516508Z   test_issue1466_size_aot_autograd (__main__.ReproTests) ... arf
2022-11-23T01:33:06.3516916Z arf
2022-11-23T01:33:06.3517481Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:33:06.3517839Z unimplemented []
2022-11-23T01:33:06.3518474Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:33:06.3519200Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)]
2022-11-23T01:33:06.3519735Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T01:33:06.3520096Z ok (0.044s)
2022-11-23T01:33:06.3520502Z   test_issue175 (__main__.ReproTests) ... inline_call []
2022-11-23T01:33:06.3521115Z stats [('calls_captured', 12), ('fusions_possible', 11), ('unique_graphs', 1)]
2022-11-23T01:33:06.3521547Z ok (0.152s)
2022-11-23T01:33:06.3522260Z   test_longformer_chunk (__main__.ReproTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:33:06.3522759Z ok (1.747s)
2022-11-23T01:33:06.3523341Z   test_maml_item_capture (__main__.ReproTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:33:06.3524032Z inline_call [('inlining disallowed: <function grad at 0x7f6b848c64d0>', 1)]
2022-11-23T01:33:06.3524476Z unimplemented []
2022-11-23T01:33:06.3525261Z graph_break [('call_function in skip_files /opt/conda/lib/python3.7/copy.py', 1), ('inlining disallowed: <function grad at 0x7f6b848c64d0>', 1)]
2022-11-23T01:33:06.3526078Z stats [('calls_captured', 29), ('fusions_possible', 27), ('unique_graphs', 2)]
2022-11-23T01:33:06.3526514Z ok (0.142s)
2022-11-23T01:33:06.3527089Z   test_maml_no_item_capture (__main__.ReproTests) ... frames [('total', 5), ('ok', 5)]
2022-11-23T01:33:06.3527780Z inline_call [('inlining disallowed: <function grad at 0x7f6b848c64d0>', 1)]
2022-11-23T01:33:06.3528238Z unimplemented []
2022-11-23T01:33:06.3529078Z graph_break [('Tensor.item', 2), ('call_function in skip_files /opt/conda/lib/python3.7/copy.py', 1), ('inlining disallowed: <function grad at 0x7f6b848c64d0>', 1)]
2022-11-23T01:33:06.3529918Z stats [('calls_captured', 29), ('fusions_possible', 25), ('unique_graphs', 4)]
2022-11-23T01:33:06.3530351Z ok (0.211s)
2022-11-23T01:33:06.3531040Z   test_modules (__main__.ReproTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:33:06.3531526Z ok (0.037s)
2022-11-23T01:33:06.3532085Z   test_multi_dot_import (__main__.ReproTests) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:33:06.3532956Z inline_call [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.7/site-packages/torch/fx/_symbolic_trace.py', 1)]
2022-11-23T01:33:06.3533503Z unimplemented []
2022-11-23T01:33:06.3534268Z graph_break [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.7/site-packages/torch/fx/_symbolic_trace.py', 1)]
2022-11-23T01:33:06.3535071Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:33:06.3535509Z ok (0.017s)
2022-11-23T01:33:06.3535954Z   test_multi_import (__main__.ReproTests) ... skip: requires detectron2 (0.001s)
2022-11-23T01:33:06.3536791Z   test_named_buffers (__main__.ReproTests) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:33:06.3537298Z ok (0.021s)
2022-11-23T01:33:06.3537837Z   test_nn_parameter (__main__.ReproTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:33:06.3538574Z inline_call [('inline in skipfiles: assertTrue /opt/conda/lib/python3.7/unittest/case.py', 1)]
2022-11-23T01:33:06.3539080Z unimplemented []
2022-11-23T01:33:06.3539705Z graph_break [('inline in skipfiles: assertTrue /opt/conda/lib/python3.7/unittest/case.py', 1)]
2022-11-23T01:33:06.3540434Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:33:06.3541005Z ok (0.016s)
2022-11-23T01:33:06.3541676Z   test_not_rewrite_assert (__main__.ReproTests) ... unimplemented [('generic_jump TensorVariable()', 1)]
2022-11-23T01:33:06.3542155Z ok (0.009s)
2022-11-23T01:33:06.3542861Z   test_not_rewrite_assert_for_other_errors (__main__.ReproTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:33:06.3543565Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:33:06.3543982Z ok (0.014s)
2022-11-23T01:33:06.3544593Z   test_numpy_list (__main__.ReproTests) ... frames [('total', 2), ('ok', 1)]
2022-11-23T01:33:06.3545034Z unimplemented []
2022-11-23T01:33:06.3545818Z graph_break [('call torch._dynamo.disable() wrapped function <function ReproTests.test_numpy_list.<locals>.rand_gen at 0x7f6b84a6d9e0>', 1)]
2022-11-23T01:33:06.3546418Z expected failure (0.043s)
2022-11-23T01:33:06.3547040Z   test_optimized_deepcopy (__main__.ReproTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:33:06.3547739Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:33:06.3548161Z ok (0.026s)
2022-11-23T01:33:06.3548708Z   test_primtorch (__main__.ReproTests) ... frames [('total', 3), ('ok', 3)]
2022-11-23T01:33:06.3549512Z inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.7/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T01:33:06.3550045Z unimplemented []
2022-11-23T01:33:06.3550775Z graph_break [('inline in skipfiles: _fn /opt/conda/lib/python3.7/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T01:33:06.3551298Z ok (0.008s)
2022-11-23T01:33:06.3552156Z   test_primtorch_no_graph_break (__main__.ReproTests) ... inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.7/site-packages/torch/_prims_common/wrappers.py', 1)]
2022-11-23T01:33:06.3552812Z expected failure (0.004s)
2022-11-23T01:33:06.3553409Z   test_recursive_map (__main__.ReproTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:33:06.3553846Z inline_call []
2022-11-23T01:33:06.3554516Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:33:06.3554929Z ok (0.022s)
2022-11-23T01:33:06.3555340Z   test_reformer_eval (__main__.ReproTests) ... inline_call []
2022-11-23T01:33:06.3555999Z stats [('calls_captured', 10), ('fusions_possible', 9), ('unique_graphs', 1)]
2022-11-23T01:33:06.3556415Z ok (0.079s)
2022-11-23T01:33:06.3556847Z   test_reformer_min_chunk_len (__main__.ReproTests) ... inline_call []
2022-11-23T01:33:06.3557700Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:33:06.3558115Z ok (0.017s)
2022-11-23T01:33:06.3558536Z   test_reformer_sorting (__main__.ReproTests) ... inline_call []
2022-11-23T01:33:06.3559192Z stats [('calls_captured', 14), ('fusions_possible', 13), ('unique_graphs', 1)]
2022-11-23T01:33:06.3559632Z ok (0.218s)
2022-11-23T01:33:06.3560170Z   test_reformer_train (__main__.ReproTests) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:33:06.3561030Z inline_call [('inline in skipfiles: save_for_backward /opt/conda/lib/python3.7/site-packages/torch/autograd/function.py', 1)]
2022-11-23T01:33:06.3561607Z unimplemented []
2022-11-23T01:33:06.3562492Z graph_break [('autograd.Function with requires_grad', 1), ('inline in skipfiles: save_for_backward /opt/conda/lib/python3.7/site-packages/torch/autograd/function.py', 1)]
2022-11-23T01:33:06.3563375Z stats [('calls_captured', 10), ('fusions_possible', 6), ('unique_graphs', 4)]
2022-11-23T01:33:06.3563803Z ok (0.113s)
2022-11-23T01:33:06.3564431Z   test_reinplacing (__main__.ReproTests) ... No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:33:06.3565012Z frames [('total', 1), ('ok', 1)]
2022-11-23T01:33:06.3565586Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)]
2022-11-23T01:33:06.3566127Z aot_autograd [('total', 1), ('ok', 1)]
2022-11-23T01:33:06.3566469Z ok (2.541s)
2022-11-23T01:33:06.3567148Z   test_relative_import (__main__.ReproTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:33:06.3567773Z ok (0.014s)
2022-11-23T01:33:06.3568522Z   test_relative_import_no_modulename (__main__.ReproTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:33:06.3569062Z ok (0.010s)
2022-11-23T01:33:06.3569832Z   test_rewrite_assert_noop (__main__.ReproTests) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)]
2022-11-23T01:33:06.3570349Z ok (0.035s)
2022-11-23T01:33:06.3571053Z   test_rewrite_assert_with_fstring_msg (__main__.ReproTests) ... unimplemented [('generic_jump TensorVariable()', 1)]
2022-11-23T01:33:06.3571573Z ok (0.008s)
2022-11-23T01:33:06.3572298Z   test_rewrite_assert_with_msg (__main__.ReproTests) ... stats [('calls_captured', 18), ('fusions_possible', 15), ('unique_graphs', 3)]
2022-11-23T01:33:06.3572806Z ok (0.041s)
2022-11-23T01:33:06.3573529Z   test_rewrite_assert_without_msg (__main__.ReproTests) ... stats [('calls_captured', 12), ('fusions_possible', 10), ('unique_graphs', 2)]
2022-11-23T01:33:06.3574052Z ok (0.027s)
2022-11-23T01:33:06.3574575Z   test_rng_state (__main__.ReproTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:33:06.3575241Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)]
2022-11-23T01:33:06.3575676Z ok (0.018s)
2022-11-23T01:33:06.3576391Z   test_seq_append_list (__main__.ReproTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:33:06.3576872Z ok (0.046s)
2022-11-23T01:33:06.3578157Z   test_sigmoid_out (__main__.ReproTests) ... dynamo/test_repros.py:1535: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:33:06.3579432Z   torch.sigmoid(inp, out=out1)
2022-11-23T01:33:06.3579895Z frames [('total', 2), ('ok', 2)]
2022-11-23T01:33:06.3580435Z inline_call [('missing: BUILD_MAP_UNPACK_WITH_CALL', 1)]
2022-11-23T01:33:06.3580842Z unimplemented []
2022-11-23T01:33:06.3581376Z graph_break [('missing: BUILD_MAP_UNPACK_WITH_CALL', 1)]
2022-11-23T01:33:06.3582028Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)]
2022-11-23T01:33:06.3583881Z /opt/conda/lib/python3.7/site-packages/torch/_prims_common/wrappers.py:145: UserWarning: An output with one or more elements was resized since it had shape torch.Size([]) which does not match the required output shape {str(shape)}. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0).
2022-11-23T01:33:06.3585115Z   warnings.warn(msg)
2022-11-23T01:33:06.3586323Z <string>:7: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:33:06.3587423Z ok (0.051s)
2022-11-23T01:33:06.3588178Z   test_slice_into_list_mutable (__main__.ReproTests) ... stats [('calls_captured', 30), ('fusions_possible', 29), ('unique_graphs', 1)]
2022-11-23T01:33:06.3588683Z ok (0.071s)
2022-11-23T01:33:06.3589270Z   test_slicing_dynamic_shape (__main__.ReproTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:33:06.3589911Z unimplemented [('Dynamic slicing not supported', 2)]
2022-11-23T01:33:06.3590558Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)]
2022-11-23T01:33:06.3591084Z ok (0.017s)
2022-11-23T01:33:06.3591703Z   test_slicing_dynamic_shape_setitem (__main__.ReproTests) ... frames [('total', 3), ('ok', 1)]
2022-11-23T01:33:06.3592358Z unimplemented [('Dynamic slicing not supported', 2)]
2022-11-23T01:33:06.3592986Z graph_break [('Dynamic slicing not supported', 1)]
2022-11-23T01:33:06.3593635Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:33:06.3594059Z ok (0.018s)
2022-11-23T01:33:06.3595345Z   test_sort_out (__main__.ReproTests) ... dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:33:06.3596641Z   torch.sort(tensor, out=(values1, indices1))
2022-11-23T01:33:06.3597245Z frames [('total', 3), ('ok', 3)]
2022-11-23T01:33:06.3597787Z inline_call [('missing: BUILD_MAP_UNPACK_WITH_CALL', 2)]
2022-11-23T01:33:06.3598190Z unimplemented []
2022-11-23T01:33:06.3598723Z graph_break [('missing: BUILD_MAP_UNPACK_WITH_CALL', 2)]
2022-11-23T01:33:06.3599387Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)]
2022-11-23T01:33:06.3601416Z /opt/conda/lib/python3.7/site-packages/torch/_dynamo/utils.py:1103: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:33:06.3602696Z   return node.target(*args, **kwargs)
2022-11-23T01:33:06.3603913Z <string>:9: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.)
2022-11-23T01:33:06.3605016Z ok (0.071s)
2022-11-23T01:33:06.3605609Z   test_specialized_stride (__main__.ReproTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:33:06.3606305Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:33:06.3606723Z ok (0.009s)
2022-11-23T01:33:06.3607311Z   test_tensor_isinstance_tuple (__main__.ReproTests) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:33:06.3608019Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:33:06.3608441Z ok (0.008s)
2022-11-23T01:33:06.3609007Z   test_tokenization (__main__.ReproTests) ... frames [('total', 4), ('ok', 4)]
2022-11-23T01:33:06.3609787Z inline_call [('inline in skipfiles: __init__ /opt/conda/lib/python3.7/collections/__init__.py', 2)]
2022-11-23T01:33:06.3610270Z unimplemented []
2022-11-23T01:33:06.3610935Z graph_break [('inline in skipfiles: __init__ /opt/conda/lib/python3.7/collections/__init__.py', 2)]
2022-11-23T01:33:06.3611417Z ok (0.013s)
2022-11-23T01:33:06.3612113Z   test_torch_ops_aten (__main__.ReproTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:33:06.3612604Z ok (0.019s)
2022-11-23T01:33:06.3613311Z   test_vdd_duplicate_error (__main__.ReproTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)]
2022-11-23T01:33:06.3613834Z ok (0.023s)
2022-11-23T01:33:06.3614405Z   test_while_loop_graph_break (__main__.ReproTests) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:33:06.3614978Z inline_call []
2022-11-23T01:33:06.3615696Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.7/site-packages/torch/_dynamo/__init__.py', 1)]
2022-11-23T01:33:06.3616567Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:33:06.3616986Z ok (0.012s)
2022-11-23T01:33:06.3617422Z   test_with_on_graph_break_inst (__main__.ReproTests) ... Hello world
2022-11-23T01:33:06.3617808Z Hello world
2022-11-23T01:33:06.3618202Z frames [('total', 6), ('ok', 6)]
2022-11-23T01:33:06.3618862Z inline_call [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)]
2022-11-23T01:33:06.3619361Z unimplemented []
2022-11-23T01:33:06.3620049Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 2), ('Tensor.backward', 1)]
2022-11-23T01:33:06.3620810Z stats [('calls_captured', 11), ('fusions_possible', 7), ('unique_graphs', 4)]
2022-11-23T01:33:06.3621248Z ok (0.046s)
2022-11-23T01:33:06.3621441Z 
2022-11-23T01:33:06.3621784Z ----------------------------------------------------------------------
2022-11-23T01:33:06.3622235Z Ran 70 tests in 15.622s
2022-11-23T01:33:06.3622453Z 
2022-11-23T01:33:06.3622632Z OK (skipped=1, expected failures=3)
2022-11-23T01:33:06.3622888Z 
2022-11-23T01:33:06.3623064Z Generating XML reports...
2022-11-23T01:33:06.3623818Z Generated XML report: test-reports/python-unittest/dynamo.test_repros/TEST-ReproTests-20221123013249.xml
2022-11-23T01:33:06.3624247Z 
2022-11-23T01:33:06.3624872Z ##[endgroup]
2022-11-23T01:33:06.3625622Z FINISHED PRINTING LOG FILE of dynamo/test_repros (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_repros_s6w1vk6v)
2022-11-23T01:33:06.3626033Z 
2022-11-23T01:33:11.2884582Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:33:11.4557080Z Ignoring disabled issues:  []
2022-11-23T01:33:11.4768630Z Running test_expanded_weights ... [2022-11-23 01:33:11.476503]
2022-11-23T01:33:11.4770494Z Executing ['/opt/conda/bin/python', '-bb', 'test_expanded_weights.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:33:11.476815]
2022-11-23T01:33:23.1979070Z 
2022-11-23T01:33:23.1979576Z Expand the folded group to see the log file of test_scatter_gather_ops
2022-11-23T01:33:23.1980776Z ##[group]PRINTING LOG FILE of test_scatter_gather_ops (/var/lib/jenkins/workspace/test/test-reports/test_scatter_gather_ops_ie4k6cwv)
2022-11-23T01:33:23.1998387Z Test results will be stored in test-reports/python-unittest/test_scatter_gather_ops
2022-11-23T01:33:23.1998755Z 
2022-11-23T01:33:23.1998860Z Running tests...
2022-11-23T01:33:23.1999416Z ----------------------------------------------------------------------
2022-11-23T01:33:23.1999934Z   test_gather_backward_with_empty_index_tensor_sparse_grad_False_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.008s)
2022-11-23T01:33:23.2000349Z   test_gather_backward_with_empty_index_tensor_sparse_grad_False_cpu_float64 (__main__.TestScatterGatherCPU) ... ok (0.003s)
2022-11-23T01:33:23.2000746Z   test_gather_backward_with_empty_index_tensor_sparse_grad_True_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.003s)
2022-11-23T01:33:23.2001153Z   test_gather_backward_with_empty_index_tensor_sparse_grad_True_cpu_float64 (__main__.TestScatterGatherCPU) ... ok (0.002s)
2022-11-23T01:33:23.2001496Z   test_gather_bool_cpu_bool (__main__.TestScatterGatherCPU) ... ok (0.002s)
2022-11-23T01:33:23.2001799Z   test_gather_cpu_complex64 (__main__.TestScatterGatherCPU) ... ok (0.058s)
2022-11-23T01:33:23.2002083Z   test_gather_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.087s)
2022-11-23T01:33:23.2002397Z   test_scatter__cpu_complex64 (__main__.TestScatterGatherCPU) ... ok (0.118s)
2022-11-23T01:33:23.2002702Z   test_scatter__cpu_float16 (__main__.TestScatterGatherCPU) ... ok (0.105s)
2022-11-23T01:33:23.2002987Z   test_scatter__cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.089s)
2022-11-23T01:33:23.2003304Z   test_scatter__reductions_cpu_complex64 (__main__.TestScatterGatherCPU) ... ok (1.114s)
2022-11-23T01:33:23.2003823Z   test_scatter__reductions_cpu_float16 (__main__.TestScatterGatherCPU) ... ok (1.107s)
2022-11-23T01:33:23.2004151Z   test_scatter__reductions_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (1.117s)
2022-11-23T01:33:23.2004518Z   test_scatter__scalar_cpu_complex64 (__main__.TestScatterGatherCPU) ... ok (0.084s)
2022-11-23T01:33:23.2004841Z   test_scatter__scalar_cpu_float16 (__main__.TestScatterGatherCPU) ... ok (0.095s)
2022-11-23T01:33:23.2005159Z   test_scatter__scalar_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.083s)
2022-11-23T01:33:23.2005462Z   test_scatter_add__cpu_complex64 (__main__.TestScatterGatherCPU) ... ok (0.103s)
2022-11-23T01:33:23.2005775Z   test_scatter_add__cpu_float16 (__main__.TestScatterGatherCPU) ... ok (0.106s)
2022-11-23T01:33:23.2006083Z   test_scatter_add__cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.170s)
2022-11-23T01:33:23.2006406Z   test_scatter_add_mult_index_base_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.004s)
2022-11-23T01:33:23.2006955Z   test_scatter_reduce_amax_cpu_bfloat16 (__main__.TestScatterGatherCPU) ... test_scatter_gather_ops.py:107: UserWarning: scatter_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1681.)
2022-11-23T01:33:23.2007499Z   actual = fn(base.clone(), dim, idx, src, reduce=reduction, include_self=include_self)
2022-11-23T01:33:23.2007741Z ok (0.159s)
2022-11-23T01:33:23.2007989Z   test_scatter_reduce_amax_cpu_bool (__main__.TestScatterGatherCPU) ... ok (0.155s)
2022-11-23T01:33:23.2008301Z   test_scatter_reduce_amax_cpu_float16 (__main__.TestScatterGatherCPU) ... ok (0.159s)
2022-11-23T01:33:23.2016726Z   test_scatter_reduce_amax_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.155s)
2022-11-23T01:33:23.2017248Z   test_scatter_reduce_amax_cpu_float64 (__main__.TestScatterGatherCPU) ... ok (0.158s)
2022-11-23T01:33:23.2017585Z   test_scatter_reduce_amax_cpu_int16 (__main__.TestScatterGatherCPU) ... ok (0.155s)
2022-11-23T01:33:23.2017915Z   test_scatter_reduce_amax_cpu_int32 (__main__.TestScatterGatherCPU) ... ok (0.175s)
2022-11-23T01:33:23.2018223Z   test_scatter_reduce_amax_cpu_int64 (__main__.TestScatterGatherCPU) ... ok (0.151s)
2022-11-23T01:33:23.2018546Z   test_scatter_reduce_amax_cpu_int8 (__main__.TestScatterGatherCPU) ... ok (0.154s)
2022-11-23T01:33:23.2018865Z   test_scatter_reduce_amax_cpu_uint8 (__main__.TestScatterGatherCPU) ... ok (0.145s)
2022-11-23T01:33:23.2019190Z   test_scatter_reduce_amin_cpu_bfloat16 (__main__.TestScatterGatherCPU) ... ok (0.150s)
2022-11-23T01:33:23.2019496Z   test_scatter_reduce_amin_cpu_bool (__main__.TestScatterGatherCPU) ... ok (0.195s)
2022-11-23T01:33:23.2019813Z   test_scatter_reduce_amin_cpu_float16 (__main__.TestScatterGatherCPU) ... ok (0.160s)
2022-11-23T01:33:23.2020130Z   test_scatter_reduce_amin_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.146s)
2022-11-23T01:33:23.2020443Z   test_scatter_reduce_amin_cpu_float64 (__main__.TestScatterGatherCPU) ... ok (0.144s)
2022-11-23T01:33:23.2020761Z   test_scatter_reduce_amin_cpu_int16 (__main__.TestScatterGatherCPU) ... ok (0.142s)
2022-11-23T01:33:23.2021074Z   test_scatter_reduce_amin_cpu_int32 (__main__.TestScatterGatherCPU) ... ok (0.152s)
2022-11-23T01:33:23.2021387Z   test_scatter_reduce_amin_cpu_int64 (__main__.TestScatterGatherCPU) ... ok (0.143s)
2022-11-23T01:33:23.2021689Z   test_scatter_reduce_amin_cpu_int8 (__main__.TestScatterGatherCPU) ... ok (0.148s)
2022-11-23T01:33:23.2022003Z   test_scatter_reduce_amin_cpu_uint8 (__main__.TestScatterGatherCPU) ... ok (0.189s)
2022-11-23T01:33:23.2022324Z   test_scatter_reduce_mean_cpu_bfloat16 (__main__.TestScatterGatherCPU) ... ok (0.161s)
2022-11-23T01:33:23.2022653Z   test_scatter_reduce_mean_cpu_complex128 (__main__.TestScatterGatherCPU) ... ok (0.166s)
2022-11-23T01:33:23.2022971Z   test_scatter_reduce_mean_cpu_complex64 (__main__.TestScatterGatherCPU) ... ok (0.169s)
2022-11-23T01:33:23.2023398Z   test_scatter_reduce_mean_cpu_float16 (__main__.TestScatterGatherCPU) ... ok (0.153s)
2022-11-23T01:33:23.2023722Z   test_scatter_reduce_mean_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.142s)
2022-11-23T01:33:23.2024072Z   test_scatter_reduce_mean_cpu_float64 (__main__.TestScatterGatherCPU) ... ok (0.140s)
2022-11-23T01:33:23.2024394Z   test_scatter_reduce_mean_cpu_int16 (__main__.TestScatterGatherCPU) ... ok (0.142s)
2022-11-23T01:33:23.2024801Z   test_scatter_reduce_mean_cpu_int32 (__main__.TestScatterGatherCPU) ... ok (0.156s)
2022-11-23T01:33:23.2025116Z   test_scatter_reduce_mean_cpu_int64 (__main__.TestScatterGatherCPU) ... ok (0.138s)
2022-11-23T01:33:23.2025416Z   test_scatter_reduce_mean_cpu_int8 (__main__.TestScatterGatherCPU) ... ok (0.146s)
2022-11-23T01:33:23.2025757Z   test_scatter_reduce_mean_cpu_uint8 (__main__.TestScatterGatherCPU) ... ok (0.140s)
2022-11-23T01:33:23.2026077Z   test_scatter_reduce_prod_cpu_bfloat16 (__main__.TestScatterGatherCPU) ... ok (0.151s)
2022-11-23T01:33:23.2026402Z   test_scatter_reduce_prod_cpu_bool (__main__.TestScatterGatherCPU) ... ok (0.140s)
2022-11-23T01:33:23.2026715Z   test_scatter_reduce_prod_cpu_complex128 (__main__.TestScatterGatherCPU) ... ok (0.142s)
2022-11-23T01:33:23.2027051Z   test_scatter_reduce_prod_cpu_complex64 (__main__.TestScatterGatherCPU) ... ok (0.217s)
2022-11-23T01:33:23.2027382Z   test_scatter_reduce_prod_cpu_float16 (__main__.TestScatterGatherCPU) ... ok (0.242s)
2022-11-23T01:33:23.2027688Z   test_scatter_reduce_prod_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.229s)
2022-11-23T01:33:23.2028016Z   test_scatter_reduce_prod_cpu_float64 (__main__.TestScatterGatherCPU) ... ok (0.162s)
2022-11-23T01:33:23.2028340Z   test_scatter_reduce_prod_cpu_int16 (__main__.TestScatterGatherCPU) ... ok (0.146s)
2022-11-23T01:33:23.2028656Z   test_scatter_reduce_prod_cpu_int32 (__main__.TestScatterGatherCPU) ... ok (0.162s)
2022-11-23T01:33:23.2028960Z   test_scatter_reduce_prod_cpu_int64 (__main__.TestScatterGatherCPU) ... ok (0.157s)
2022-11-23T01:33:23.2029276Z   test_scatter_reduce_prod_cpu_int8 (__main__.TestScatterGatherCPU) ... ok (0.154s)
2022-11-23T01:33:23.2029589Z   test_scatter_reduce_prod_cpu_uint8 (__main__.TestScatterGatherCPU) ... ok (0.138s)
2022-11-23T01:33:23.2029895Z   test_scatter_reduce_sum_cpu_bfloat16 (__main__.TestScatterGatherCPU) ... ok (0.148s)
2022-11-23T01:33:23.2030220Z   test_scatter_reduce_sum_cpu_complex128 (__main__.TestScatterGatherCPU) ... ok (0.140s)
2022-11-23T01:33:23.2030544Z   test_scatter_reduce_sum_cpu_complex64 (__main__.TestScatterGatherCPU) ... ok (0.143s)
2022-11-23T01:33:23.2030868Z   test_scatter_reduce_sum_cpu_float16 (__main__.TestScatterGatherCPU) ... ok (0.138s)
2022-11-23T01:33:23.2031169Z   test_scatter_reduce_sum_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.150s)
2022-11-23T01:33:23.2031480Z   test_scatter_reduce_sum_cpu_float64 (__main__.TestScatterGatherCPU) ... ok (0.137s)
2022-11-23T01:33:23.2031790Z   test_scatter_reduce_sum_cpu_int16 (__main__.TestScatterGatherCPU) ... ok (0.160s)
2022-11-23T01:33:23.2032091Z   test_scatter_reduce_sum_cpu_int32 (__main__.TestScatterGatherCPU) ... ok (0.142s)
2022-11-23T01:33:23.2032401Z   test_scatter_reduce_sum_cpu_int64 (__main__.TestScatterGatherCPU) ... ok (0.150s)
2022-11-23T01:33:23.2032715Z   test_scatter_reduce_sum_cpu_int8 (__main__.TestScatterGatherCPU) ... ok (0.141s)
2022-11-23T01:33:23.2033026Z   test_scatter_reduce_sum_cpu_uint8 (__main__.TestScatterGatherCPU) ... ok (0.139s)
2022-11-23T01:33:23.2033196Z 
2022-11-23T01:33:23.2033445Z ----------------------------------------------------------------------
2022-11-23T01:33:23.2033688Z Ran 74 tests in 12.881s
2022-11-23T01:33:23.2033806Z 
2022-11-23T01:33:23.2033867Z OK
2022-11-23T01:33:23.2033958Z 
2022-11-23T01:33:23.2034030Z Generating XML reports...
2022-11-23T01:33:23.2034480Z Generated XML report: test-reports/python-unittest/test_scatter_gather_ops/TEST-TestScatterGatherCPU-20221123013309.xml
2022-11-23T01:33:23.2034733Z 
2022-11-23T01:33:23.2035066Z ##[endgroup]
2022-11-23T01:33:23.2035465Z FINISHED PRINTING LOG FILE of test_scatter_gather_ops (/var/lib/jenkins/workspace/test/test-reports/test_scatter_gather_ops_ie4k6cwv)
2022-11-23T01:33:23.2035693Z 
2022-11-23T01:33:28.6617721Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:33:28.8330295Z Ignoring disabled issues:  []
2022-11-23T01:33:28.8549032Z Running test_meta ... [2022-11-23 01:33:28.854559]
2022-11-23T01:33:28.8551294Z Executing ['/opt/conda/bin/python', '-bb', 'test_meta.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:33:28.854896]
2022-11-23T01:33:29.0354615Z 
2022-11-23T01:33:29.0355261Z Expand the folded group to see the log file of test_expanded_weights
2022-11-23T01:33:29.0356290Z ##[group]PRINTING LOG FILE of test_expanded_weights (/var/lib/jenkins/workspace/test/test-reports/test_expanded_weights_yhnd0qhm)
2022-11-23T01:33:29.0356850Z Test results will be stored in test-reports/python-unittest/test_expanded_weights
2022-11-23T01:33:29.0357288Z 
2022-11-23T01:33:29.0357834Z Running tests...
2022-11-23T01:33:29.0358160Z ----------------------------------------------------------------------
2022-11-23T01:33:29.0358487Z   test_cnn_model_mean_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (1.658s)
2022-11-23T01:33:29.0358965Z   test_cnn_model_sum_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (1.430s)
2022-11-23T01:33:29.0359473Z   test_embedding_model_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.076s)
2022-11-23T01:33:29.0360062Z   test_expanded_weight_error_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.002s)
2022-11-23T01:33:29.0360622Z   test_expanded_weight_forward_nn_functional_conv1d_cpu_bfloat16 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.018s)
2022-11-23T01:33:29.0361063Z   test_expanded_weight_forward_nn_functional_conv1d_cpu_complex128 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.052s)
2022-11-23T01:33:29.0361506Z   test_expanded_weight_forward_nn_functional_conv1d_cpu_complex64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.044s)
2022-11-23T01:33:29.0361941Z   test_expanded_weight_forward_nn_functional_conv1d_cpu_float32 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.020s)
2022-11-23T01:33:29.0362355Z   test_expanded_weight_forward_nn_functional_conv1d_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.019s)
2022-11-23T01:33:29.0362774Z   test_expanded_weight_forward_nn_functional_conv1d_cpu_int64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.020s)
2022-11-23T01:33:29.0363800Z   test_expanded_weight_forward_nn_functional_conv2d_cpu_bfloat16 (__main__.TestExpandedWeightFunctionalCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/opinfo/core.py:1068: UserWarning: Using padding='same' with even kernel lengths and odd dilation may require a zero-padded copy of the input be created (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Convolution.cpp:996.)
2022-11-23T01:33:29.0364410Z   return self.op(*args, **kwargs)
2022-11-23T01:33:29.0364599Z ok (0.067s)
2022-11-23T01:33:29.0364892Z   test_expanded_weight_forward_nn_functional_conv2d_cpu_complex128 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.164s)
2022-11-23T01:33:29.0365330Z   test_expanded_weight_forward_nn_functional_conv2d_cpu_complex64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.190s)
2022-11-23T01:33:29.0365758Z   test_expanded_weight_forward_nn_functional_conv2d_cpu_float32 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.063s)
2022-11-23T01:33:29.0366166Z   test_expanded_weight_forward_nn_functional_conv2d_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.062s)
2022-11-23T01:33:29.0366583Z   test_expanded_weight_forward_nn_functional_conv2d_cpu_int64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.058s)
2022-11-23T01:33:29.0367017Z   test_expanded_weight_forward_nn_functional_embedding_cpu_bfloat16 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.021s)
2022-11-23T01:33:29.0367446Z   test_expanded_weight_forward_nn_functional_embedding_cpu_float16 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.022s)
2022-11-23T01:33:29.0368070Z   test_expanded_weight_forward_nn_functional_embedding_cpu_float32 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.019s)
2022-11-23T01:33:29.0368566Z   test_expanded_weight_forward_nn_functional_embedding_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.018s)
2022-11-23T01:33:29.0369003Z   test_expanded_weight_forward_nn_functional_group_norm_cpu_bfloat16 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.035s)
2022-11-23T01:33:29.0369430Z   test_expanded_weight_forward_nn_functional_group_norm_cpu_float32 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.033s)
2022-11-23T01:33:29.0369844Z   test_expanded_weight_forward_nn_functional_group_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.032s)
2022-11-23T01:33:29.0370275Z   test_expanded_weight_forward_nn_functional_instance_norm_cpu_bfloat16 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.041s)
2022-11-23T01:33:29.0370715Z   test_expanded_weight_forward_nn_functional_instance_norm_cpu_float32 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.039s)
2022-11-23T01:33:29.0371154Z   test_expanded_weight_forward_nn_functional_instance_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.039s)
2022-11-23T01:33:29.0371575Z   test_expanded_weight_forward_nn_functional_layer_norm_cpu_bfloat16 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.008s)
2022-11-23T01:33:29.0372003Z   test_expanded_weight_forward_nn_functional_layer_norm_cpu_float32 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.007s)
2022-11-23T01:33:29.0372424Z   test_expanded_weight_forward_nn_functional_layer_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.007s)
2022-11-23T01:33:29.0372849Z   test_expanded_weight_forward_nn_functional_linear_cpu_bfloat16 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.017s)
2022-11-23T01:33:29.0373260Z   test_expanded_weight_forward_nn_functional_linear_cpu_complex128 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.028s)
2022-11-23T01:33:29.0373693Z   test_expanded_weight_forward_nn_functional_linear_cpu_complex64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.030s)
2022-11-23T01:33:29.0374121Z   test_expanded_weight_forward_nn_functional_linear_cpu_float32 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.018s)
2022-11-23T01:33:29.0374680Z   test_expanded_weight_forward_nn_functional_linear_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.023s)
2022-11-23T01:33:29.0375085Z   test_expanded_weight_forward_nn_functional_linear_cpu_int16 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.013s)
2022-11-23T01:33:29.0375506Z   test_expanded_weight_forward_nn_functional_linear_cpu_int32 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.011s)
2022-11-23T01:33:29.0375924Z   test_expanded_weight_forward_nn_functional_linear_cpu_int64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.012s)
2022-11-23T01:33:29.0376345Z   test_expanded_weight_forward_nn_functional_linear_cpu_int8 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.014s)
2022-11-23T01:33:29.0376749Z   test_expanded_weight_forward_nn_functional_linear_cpu_uint8 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.012s)
2022-11-23T01:33:29.0377192Z   test_expanded_weight_per_sample_grad_mean_nn_functional_conv1d_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.035s)
2022-11-23T01:33:29.0377646Z   test_expanded_weight_per_sample_grad_mean_nn_functional_conv2d_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.109s)
2022-11-23T01:33:29.0378106Z   test_expanded_weight_per_sample_grad_mean_nn_functional_embedding_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.006s)
2022-11-23T01:33:29.0378552Z   test_expanded_weight_per_sample_grad_mean_nn_functional_group_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.082s)
2022-11-23T01:33:29.0379011Z   test_expanded_weight_per_sample_grad_mean_nn_functional_instance_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.086s)
2022-11-23T01:33:29.0379514Z   test_expanded_weight_per_sample_grad_mean_nn_functional_layer_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.013s)
2022-11-23T01:33:29.0379993Z   test_expanded_weight_per_sample_grad_mean_nn_functional_linear_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.076s)
2022-11-23T01:33:29.0380430Z   test_expanded_weight_per_sample_grad_sum_nn_functional_conv1d_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.038s)
2022-11-23T01:33:29.0380879Z   test_expanded_weight_per_sample_grad_sum_nn_functional_conv2d_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.126s)
2022-11-23T01:33:29.0381328Z   test_expanded_weight_per_sample_grad_sum_nn_functional_embedding_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.006s)
2022-11-23T01:33:29.0381780Z   test_expanded_weight_per_sample_grad_sum_nn_functional_group_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.080s)
2022-11-23T01:33:29.0382224Z   test_expanded_weight_per_sample_grad_sum_nn_functional_instance_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.077s)
2022-11-23T01:33:29.0382683Z   test_expanded_weight_per_sample_grad_sum_nn_functional_layer_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.011s)
2022-11-23T01:33:29.0383226Z   test_expanded_weight_per_sample_grad_sum_nn_functional_linear_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.055s)
2022-11-23T01:33:29.0383680Z   test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_conv1d_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.025s)
2022-11-23T01:33:29.0384131Z   test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_conv2d_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.087s)
2022-11-23T01:33:29.0384683Z   test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_embedding_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.006s)
2022-11-23T01:33:29.0385165Z   test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_group_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.062s)
2022-11-23T01:33:29.0385644Z   test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_instance_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.056s)
2022-11-23T01:33:29.0386121Z   test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_layer_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.008s)
2022-11-23T01:33:29.0386575Z   test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_linear_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.045s)
2022-11-23T01:33:29.0386977Z   test_group_norm_error_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.007s)
2022-11-23T01:33:29.0387343Z   test_group_norm_model_num_dim_1_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.115s)
2022-11-23T01:33:29.0387697Z   test_group_norm_model_num_dim_2_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.222s)
2022-11-23T01:33:29.0388065Z   test_group_norm_model_num_dim_3_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (1.139s)
2022-11-23T01:33:29.0388436Z   test_instance_norm_model_num_dim_1_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.128s)
2022-11-23T01:33:29.0388869Z   test_instance_norm_model_num_dim_2_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.248s)
2022-11-23T01:33:29.0389238Z   test_instance_norm_model_num_dim_3_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (1.046s)
2022-11-23T01:33:29.0389607Z   test_layer_norm_model_num_dim_1_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.108s)
2022-11-23T01:33:29.0389956Z   test_layer_norm_model_num_dim_2_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.235s)
2022-11-23T01:33:29.0390313Z   test_layer_norm_model_num_dim_3_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (1.061s)
2022-11-23T01:33:29.0390760Z   test_unsupported_expand_weights_nn_functional_conv1d_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.008s)
2022-11-23T01:33:29.0391195Z   test_unsupported_expand_weights_nn_functional_conv2d_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.020s)
2022-11-23T01:33:29.0391653Z   test_unsupported_expand_weights_nn_functional_embedding_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.003s)
2022-11-23T01:33:29.0392099Z   test_unsupported_expand_weights_nn_functional_group_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.005s)
2022-11-23T01:33:29.0392544Z   test_unsupported_expand_weights_nn_functional_instance_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.004s)
2022-11-23T01:33:29.0392987Z   test_unsupported_expand_weights_nn_functional_layer_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.004s)
2022-11-23T01:33:29.0393406Z   test_unsupported_expand_weights_nn_functional_linear_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.007s)
2022-11-23T01:33:29.0393810Z   test_forward_helper_cpu (__main__.TestExpandedWeightHelperFunctionCPU) ... ok (0.006s)
2022-11-23T01:33:29.0394196Z   test_forward_helper_failure_args_cpu (__main__.TestExpandedWeightHelperFunctionCPU) ... ok (0.004s)
2022-11-23T01:33:29.0394590Z   test_set_grad_sample_if_exists_cpu (__main__.TestExpandedWeightHelperFunctionCPU) ... ok (0.001s)
2022-11-23T01:33:29.0394978Z   test_set_grad_sample_if_exists_failure_cpu (__main__.TestExpandedWeightHelperFunctionCPU) ... ok (0.001s)
2022-11-23T01:33:29.0395381Z   test_sum_over_all_but_batch_and_last_n_cpu (__main__.TestExpandedWeightHelperFunctionCPU) ... ok (0.003s)
2022-11-23T01:33:29.0395783Z   test_unpack_expanded_weight_or_tensor_cpu (__main__.TestExpandedWeightHelperFunctionCPU) ... ok (0.002s)
2022-11-23T01:33:29.0396186Z   test_unpack_expanded_weight_or_tensor_failure_cpu (__main__.TestExpandedWeightHelperFunctionCPU) ... ok (0.001s)
2022-11-23T01:33:29.0396625Z   test_unpack_expanded_weight_or_tensor_with_custom_function_cpu (__main__.TestExpandedWeightHelperFunctionCPU) ... ok (0.001s)
2022-11-23T01:33:29.0396991Z   test_Conv1d (__main__.TestExpandedWeightModule) ... ok (0.009s)
2022-11-23T01:33:29.0397449Z   test_Conv1d_circular_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.013s)
2022-11-23T01:33:29.0397796Z   test_Conv1d_circular_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.014s)
2022-11-23T01:33:29.0398144Z   test_Conv1d_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.011s)
2022-11-23T01:33:29.0398460Z   test_Conv1d_pad1 (__main__.TestExpandedWeightModule) ... ok (0.009s)
2022-11-23T01:33:29.0398781Z   test_Conv1d_pad1_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.011s)
2022-11-23T01:33:29.0399090Z   test_Conv1d_pad1size1 (__main__.TestExpandedWeightModule) ... ok (0.007s)
2022-11-23T01:33:29.0399421Z   test_Conv1d_pad1size1_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.008s)
2022-11-23T01:33:29.0399747Z   test_Conv1d_pad2 (__main__.TestExpandedWeightModule) ... ok (0.009s)
2022-11-23T01:33:29.0400052Z   test_Conv1d_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.010s)
2022-11-23T01:33:29.0400374Z   test_Conv1d_pad2size1 (__main__.TestExpandedWeightModule) ... ok (0.007s)
2022-11-23T01:33:29.0400706Z   test_Conv1d_pad2size1_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.008s)
2022-11-23T01:33:29.0401040Z   test_Conv1d_reflect_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.009s)
2022-11-23T01:33:29.0401378Z   test_Conv1d_reflect_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.010s)
2022-11-23T01:33:29.0401727Z   test_Conv1d_replicate_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.009s)
2022-11-23T01:33:29.0402084Z   test_Conv1d_replicate_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.010s)
2022-11-23T01:33:29.0402408Z   test_Conv1d_stride (__main__.TestExpandedWeightModule) ... ok (0.009s)
2022-11-23T01:33:29.0402797Z   test_Conv1d_stride_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.013s)
2022-11-23T01:33:29.0403350Z   test_Conv1d_zero_batch (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.002s)
2022-11-23T01:33:29.0403980Z   test_Conv1d_zero_batch_multiple_inputs (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.002s)
2022-11-23T01:33:29.0404376Z   test_Conv1d_zeros_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.014s)
2022-11-23T01:33:29.0404728Z   test_Conv1d_zeros_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.017s)
2022-11-23T01:33:29.0405053Z   test_Conv2d (__main__.TestExpandedWeightModule) ... ok (0.015s)
2022-11-23T01:33:29.0405368Z   test_Conv2d_circular_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.025s)
2022-11-23T01:33:29.0405712Z   test_Conv2d_circular_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.020s)
2022-11-23T01:33:29.0406050Z   test_Conv2d_dilated (__main__.TestExpandedWeightModule) ... ok (0.009s)
2022-11-23T01:33:29.0406378Z   test_Conv2d_dilated_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.010s)
2022-11-23T01:33:29.0406702Z   test_Conv2d_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.010s)
2022-11-23T01:33:29.0407018Z   test_Conv2d_no_bias (__main__.TestExpandedWeightModule) ... ok (0.008s)
2022-11-23T01:33:29.0407342Z   test_Conv2d_no_bias_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.009s)
2022-11-23T01:33:29.0407661Z   test_Conv2d_padding (__main__.TestExpandedWeightModule) ... ok (0.009s)
2022-11-23T01:33:29.0407972Z   test_Conv2d_padding_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.011s)
2022-11-23T01:33:29.0408308Z   test_Conv2d_reflect_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.009s)
2022-11-23T01:33:29.0408662Z   test_Conv2d_reflect_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.011s)
2022-11-23T01:33:29.0409005Z   test_Conv2d_replicate_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.010s)
2022-11-23T01:33:29.0409386Z   test_Conv2d_replicate_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.011s)
2022-11-23T01:33:29.0409722Z   test_Conv2d_strided (__main__.TestExpandedWeightModule) ... ok (0.009s)
2022-11-23T01:33:29.0410044Z   test_Conv2d_strided_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.010s)
2022-11-23T01:33:29.0410541Z   test_Conv2d_zero_batch (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s)
2022-11-23T01:33:29.0411119Z   test_Conv2d_zero_batch_multiple_inputs (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s)
2022-11-23T01:33:29.0411521Z   test_Conv2d_zeros_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.008s)
2022-11-23T01:33:29.0411873Z   test_Conv2d_zeros_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.010s)
2022-11-23T01:33:29.0412184Z   test_Conv3d (__main__.TestExpandedWeightModule) ... ok (0.007s)
2022-11-23T01:33:29.0412489Z   test_Conv3d_1x1x1_no_bias (__main__.TestExpandedWeightModule) ... ok (0.006s)
2022-11-23T01:33:29.0412820Z   test_Conv3d_1x1x1_no_bias_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.006s)
2022-11-23T01:33:29.0413147Z   test_Conv3d_circular_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.018s)
2022-11-23T01:33:29.0413500Z   test_Conv3d_circular_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.023s)
2022-11-23T01:33:29.0413844Z   test_Conv3d_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.008s)
2022-11-23T01:33:29.0414156Z   test_Conv3d_no_bias (__main__.TestExpandedWeightModule) ... ok (0.006s)
2022-11-23T01:33:29.0414465Z   test_Conv3d_no_bias_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.007s)
2022-11-23T01:33:29.0414836Z   test_Conv3d_replicate_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.010s)
2022-11-23T01:33:29.0415198Z   test_Conv3d_replicate_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.012s)
2022-11-23T01:33:29.0415551Z   test_Conv3d_stride (__main__.TestExpandedWeightModule) ... ok (0.009s)
2022-11-23T01:33:29.0415875Z   test_Conv3d_stride_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.010s)
2022-11-23T01:33:29.0416211Z   test_Conv3d_stride_padding (__main__.TestExpandedWeightModule) ... ok (0.009s)
2022-11-23T01:33:29.0416554Z   test_Conv3d_stride_padding_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.011s)
2022-11-23T01:33:29.0417055Z   test_Conv3d_zero_batch (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s)
2022-11-23T01:33:29.0417637Z   test_Conv3d_zero_batch_multiple_inputs (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s)
2022-11-23T01:33:29.0418046Z   test_Conv3d_zeros_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.009s)
2022-11-23T01:33:29.0418395Z   test_Conv3d_zeros_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.010s)
2022-11-23T01:33:29.0418713Z   test_Embedding (__main__.TestExpandedWeightModule) ... ok (0.004s)
2022-11-23T01:33:29.0419032Z   test_Embedding_discontiguous (__main__.TestExpandedWeightModule) ... ok (0.011s)
2022-11-23T01:33:29.0419390Z   test_Embedding_discontiguous_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.011s)
2022-11-23T01:33:29.0419727Z   test_Embedding_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s)
2022-11-23T01:33:29.0420052Z   test_GroupNorm_1d_affine (__main__.TestExpandedWeightModule) ... ok (0.008s)
2022-11-23T01:33:29.0420376Z   test_GroupNorm_1d_affine_GN (__main__.TestExpandedWeightModule) ... ok (0.008s)
2022-11-23T01:33:29.0420720Z   test_GroupNorm_1d_affine_GN_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.009s)
2022-11-23T01:33:29.0421060Z   test_GroupNorm_1d_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.009s)
2022-11-23T01:33:29.0421401Z   test_GroupNorm_1d_no_affine_IN (__main__.TestExpandedWeightModule) ... ok (0.006s)
2022-11-23T01:33:29.0421747Z   test_GroupNorm_1d_no_affine_IN_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.006s)
2022-11-23T01:33:29.0422089Z   test_GroupNorm_1d_no_affine_LN (__main__.TestExpandedWeightModule) ... ok (0.006s)
2022-11-23T01:33:29.0422419Z   test_GroupNorm_1d_no_affine_LN_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.006s)
2022-11-23T01:33:29.0422758Z   test_GroupNorm_2d_affine (__main__.TestExpandedWeightModule) ... ok (0.009s)
2022-11-23T01:33:29.0423094Z   test_GroupNorm_2d_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.009s)
2022-11-23T01:33:29.0423421Z   test_GroupNorm_2d_no_affine_IN (__main__.TestExpandedWeightModule) ... ok (0.006s)
2022-11-23T01:33:29.0423773Z   test_GroupNorm_2d_no_affine_IN_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.006s)
2022-11-23T01:33:29.0424116Z   test_GroupNorm_2d_no_affine_LN (__main__.TestExpandedWeightModule) ... ok (0.006s)
2022-11-23T01:33:29.0424531Z   test_GroupNorm_2d_no_affine_LN_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.006s)
2022-11-23T01:33:29.0424870Z   test_LayerNorm_1d_elementwise_affine (__main__.TestExpandedWeightModule) ... ok (0.009s)
2022-11-23T01:33:29.0425241Z   test_LayerNorm_1d_elementwise_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.009s)
2022-11-23T01:33:29.0425813Z   test_LayerNorm_1d_empty_elementwise_affine (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s)
2022-11-23T01:33:29.0426449Z   test_LayerNorm_1d_empty_elementwise_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s)
2022-11-23T01:33:29.0426909Z   test_LayerNorm_1d_no_elementwise_affine (__main__.TestExpandedWeightModule) ... ok (0.006s)
2022-11-23T01:33:29.0427279Z   test_LayerNorm_1d_no_elementwise_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.005s)
2022-11-23T01:33:29.0427671Z   test_LayerNorm_3d_elementwise_affine (__main__.TestExpandedWeightModule) ... ok (0.008s)
2022-11-23T01:33:29.0428025Z   test_LayerNorm_3d_elementwise_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.008s)
2022-11-23T01:33:29.0428386Z   test_LayerNorm_3d_no_affine_large_feature (__main__.TestExpandedWeightModule) ... ok (0.298s)
2022-11-23T01:33:29.0428757Z   test_LayerNorm_3d_no_affine_large_feature_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.281s)
2022-11-23T01:33:29.0429122Z   test_LayerNorm_3d_no_elementwise_affine (__main__.TestExpandedWeightModule) ... ok (0.006s)
2022-11-23T01:33:29.0429478Z   test_LayerNorm_3d_no_elementwise_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.005s)
2022-11-23T01:33:29.0429816Z   test_Linear (__main__.TestExpandedWeightModule) ... ok (0.009s)
2022-11-23T01:33:29.0430126Z   test_Linear_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.009s)
2022-11-23T01:33:29.0430608Z   test_Linear_no_batch_dim (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients for input of rank 1 (0.001s)
2022-11-23T01:33:29.0431148Z   test_Linear_no_batch_dim_multiple_inputs (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients for input of rank 1 (0.001s)
2022-11-23T01:33:29.0431529Z   test_Linear_no_bias (__main__.TestExpandedWeightModule) ... ok (0.007s)
2022-11-23T01:33:29.0431855Z   test_Linear_no_bias_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.007s)
2022-11-23T01:33:29.0432185Z   test_per_sample_api_compute_batch_size (__main__.TestExpandedWeightModule) ... ok (0.005s)
2022-11-23T01:33:29.0432553Z   test_per_sample_api_compute_batch_size_not_pytreeable (__main__.TestExpandedWeightModule) ... ok (0.005s)
2022-11-23T01:33:29.0432908Z   test_per_sample_api_failing (__main__.TestExpandedWeightModule) ... ok (0.008s)
2022-11-23T01:33:29.0433091Z 
2022-11-23T01:33:29.0433294Z ----------------------------------------------------------------------
2022-11-23T01:33:29.0433531Z Ran 184 tests in 11.323s
2022-11-23T01:33:29.0433647Z 
2022-11-23T01:33:29.0433719Z OK (skipped=10)
2022-11-23T01:33:29.0433827Z 
2022-11-23T01:33:29.0433911Z Generating XML reports...
2022-11-23T01:33:29.0434390Z Generated XML report: test-reports/python-unittest/test_expanded_weights/TEST-TestExpandedWeightFunctionalCPU-20221123013316.xml
2022-11-23T01:33:29.0435019Z Generated XML report: test-reports/python-unittest/test_expanded_weights/TEST-TestExpandedWeightHelperFunctionCPU-20221123013316.xml
2022-11-23T01:33:29.0435632Z Generated XML report: test-reports/python-unittest/test_expanded_weights/TEST-TestExpandedWeightModule-20221123013316.xml
2022-11-23T01:33:29.0435892Z 
2022-11-23T01:33:29.0436197Z ##[endgroup]
2022-11-23T01:33:29.0436586Z FINISHED PRINTING LOG FILE of test_expanded_weights (/var/lib/jenkins/workspace/test/test-reports/test_expanded_weights_yhnd0qhm)
2022-11-23T01:33:29.0436815Z 
2022-11-23T01:33:34.0740519Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:33:34.2517098Z Ignoring disabled issues:  []
2022-11-23T01:33:34.2728205Z Running test_bundled_inputs ... [2022-11-23 01:33:34.272526]
2022-11-23T01:33:34.2730713Z Executing ['/opt/conda/bin/python', '-bb', 'test_bundled_inputs.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:33:34.272853]
2022-11-23T01:33:42.5091619Z 
2022-11-23T01:33:42.5092208Z Expand the folded group to see the log file of test_bundled_inputs
2022-11-23T01:33:42.5093359Z ##[group]PRINTING LOG FILE of test_bundled_inputs (/var/lib/jenkins/workspace/test/test-reports/test_bundled_inputs_l7ehqlfq)
2022-11-23T01:33:42.5094236Z Test results will be stored in test-reports/python-unittest/test_bundled_inputs
2022-11-23T01:33:42.5094741Z 
2022-11-23T01:33:42.5094844Z Running tests...
2022-11-23T01:33:42.5095356Z ----------------------------------------------------------------------
2022-11-23T01:33:42.5095834Z   test_bad_inputs (__main__.TestBundledInputs) ... ok (0.363s)
2022-11-23T01:33:42.5097126Z   test_dict_args (__main__.TestBundledInputs) ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:33:42.5097619Z   warnings.warn(message, UserWarning)
2022-11-23T01:33:42.5097818Z ok (2.727s)
2022-11-23T01:33:42.5098068Z   test_double_augment_fail (__main__.TestBundledInputs) ... ok (0.015s)
2022-11-23T01:33:42.5098470Z   test_double_augment_non_mutator (__main__.TestBundledInputs) ... ok (0.024s)
2022-11-23T01:33:42.5099024Z   test_double_augment_success (__main__.TestBundledInputs) ... ok (0.039s)
2022-11-23T01:33:42.5099572Z   test_large_tensor_with_inflation (__main__.TestBundledInputs) ... ok (0.058s)
2022-11-23T01:33:42.5099977Z   test_multiple_methods_with_inputs (__main__.TestBundledInputs) ... ok (0.358s)
2022-11-23T01:33:42.5100514Z   test_multiple_methods_with_inputs_both_defined_failure (__main__.TestBundledInputs) ... ok (0.011s)
2022-11-23T01:33:42.5101176Z   test_multiple_methods_with_inputs_neither_defined_failure (__main__.TestBundledInputs) ... ok (0.008s)
2022-11-23T01:33:42.5101494Z   test_non_tensors (__main__.TestBundledInputs) ... ok (0.038s)
2022-11-23T01:33:42.5101775Z   test_rejected_tensors (__main__.TestBundledInputs) ... ok (0.019s)
2022-11-23T01:33:42.5103765Z   test_single_tensors (__main__.TestBundledInputs) ... ok (0.163s)
2022-11-23T01:33:42.5104083Z 
2022-11-23T01:33:42.5104580Z ----------------------------------------------------------------------
2022-11-23T01:33:42.5105025Z Ran 12 tests in 3.824s
2022-11-23T01:33:42.5105233Z 
2022-11-23T01:33:42.5105355Z OK
2022-11-23T01:33:42.5105528Z 
2022-11-23T01:33:42.5105671Z Generating XML reports...
2022-11-23T01:33:42.5106435Z Generated XML report: test-reports/python-unittest/test_bundled_inputs/TEST-TestBundledInputs-20221123013338.xml
2022-11-23T01:33:42.5106890Z 
2022-11-23T01:33:42.5107303Z ##[endgroup]
2022-11-23T01:33:42.5107761Z FINISHED PRINTING LOG FILE of test_bundled_inputs (/var/lib/jenkins/workspace/test/test-reports/test_bundled_inputs_l7ehqlfq)
2022-11-23T01:33:42.5108137Z 
2022-11-23T01:33:47.3649331Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:33:47.5327676Z Ignoring disabled issues:  []
2022-11-23T01:33:47.5541747Z Running test_public_bindings ... [2022-11-23 01:33:47.553809]
2022-11-23T01:33:47.5543516Z Executing ['/opt/conda/bin/python', '-bb', 'test_public_bindings.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:33:47.554105]
2022-11-23T01:33:55.8698390Z 
2022-11-23T01:33:55.8698925Z Expand the folded group to see the log file of test_public_bindings
2022-11-23T01:33:55.8700122Z ##[group]PRINTING LOG FILE of test_public_bindings (/var/lib/jenkins/workspace/test/test-reports/test_public_bindings_kh1pry_c)
2022-11-23T01:33:55.8701068Z Test results will be stored in test-reports/python-unittest/test_public_bindings
2022-11-23T01:33:55.8701406Z 
2022-11-23T01:33:55.8701544Z Running tests...
2022-11-23T01:33:55.8702089Z ----------------------------------------------------------------------
2022-11-23T01:33:55.8702597Z   test_correct_module_names (__main__.TestPublicBindings)
2022-11-23T01:33:55.8703398Z An API is considered public, if  its  `__module__` starts with `torch.` ... No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:33:55.8703879Z ok (3.598s)
2022-11-23T01:33:55.8704246Z   test_no_new_bindings (__main__.TestPublicBindings)
2022-11-23T01:33:55.8704832Z This test aims to stop the introduction of new JIT bindings into torch._C ... ok (0.005s)
2022-11-23T01:33:55.8705157Z 
2022-11-23T01:33:55.8705781Z ----------------------------------------------------------------------
2022-11-23T01:33:55.8706205Z Ran 2 tests in 3.603s
2022-11-23T01:33:55.8706402Z 
2022-11-23T01:33:55.8706495Z OK
2022-11-23T01:33:55.8706648Z 
2022-11-23T01:33:55.8706794Z Generating XML reports...
2022-11-23T01:33:55.8707690Z Generated XML report: test-reports/python-unittest/test_public_bindings/TEST-TestPublicBindings-20221123013351.xml
2022-11-23T01:33:55.8708137Z 
2022-11-23T01:33:55.8708548Z ##[endgroup]
2022-11-23T01:33:55.8709284Z FINISHED PRINTING LOG FILE of test_public_bindings (/var/lib/jenkins/workspace/test/test-reports/test_public_bindings_kh1pry_c)
2022-11-23T01:33:55.8709685Z 
2022-11-23T01:33:59.5486438Z 
2022-11-23T01:33:59.5486846Z Expand the folded group to see the log file of test_meta
2022-11-23T01:33:59.5487503Z ##[group]PRINTING LOG FILE of test_meta (/var/lib/jenkins/workspace/test/test-reports/test_meta_2ub81vy2)
2022-11-23T01:33:59.5587355Z Test results will be stored in test-reports/python-unittest/test_meta
2022-11-23T01:33:59.5587683Z 
2022-11-23T01:33:59.5587819Z Running tests...
2022-11-23T01:33:59.5588347Z ----------------------------------------------------------------------
2022-11-23T01:33:59.5594014Z   test_dispatch_meta_inplace_H_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:33:59.5594630Z   test_dispatch_meta_inplace_H_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5595186Z   test_dispatch_meta_inplace_H_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5595809Z   test_dispatch_meta_inplace_H_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5596340Z   test_dispatch_meta_inplace_H_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5596861Z   test_dispatch_meta_inplace_H_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5597546Z   test_dispatch_meta_inplace_H_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5598125Z   test_dispatch_meta_inplace_H_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5598718Z   test_dispatch_meta_inplace_H_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5599307Z   test_dispatch_meta_inplace_H_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5599869Z   test_dispatch_meta_inplace_H_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5600425Z   test_dispatch_meta_inplace_H_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5602877Z   test_dispatch_meta_inplace_H_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5603501Z   test_dispatch_meta_inplace_T_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5604136Z   test_dispatch_meta_inplace_T_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5604725Z   test_dispatch_meta_inplace_T_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5605309Z   test_dispatch_meta_inplace_T_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5605979Z   test_dispatch_meta_inplace_T_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5606762Z   test_dispatch_meta_inplace_T_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5607735Z   test_dispatch_meta_inplace_T_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5608429Z   test_dispatch_meta_inplace_T_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5609046Z   test_dispatch_meta_inplace_T_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5609991Z   test_dispatch_meta_inplace_T_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5610582Z   test_dispatch_meta_inplace_T_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5611277Z   test_dispatch_meta_inplace_T_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5611912Z   test_dispatch_meta_inplace_T_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5612570Z   test_dispatch_meta_inplace___getitem___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5613248Z   test_dispatch_meta_inplace___getitem___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5614044Z   test_dispatch_meta_inplace___getitem___cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5614842Z   test_dispatch_meta_inplace___getitem___cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.5621929Z   test_dispatch_meta_inplace___getitem___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5622697Z   test_dispatch_meta_inplace___radd___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5623471Z   test_dispatch_meta_inplace___radd___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5624253Z   test_dispatch_meta_inplace___radd___cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5625129Z   test_dispatch_meta_inplace___radd___cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5625907Z   test_dispatch_meta_inplace___radd___cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5626699Z   test_dispatch_meta_inplace___radd___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5627483Z   test_dispatch_meta_inplace___radd___cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5628265Z   test_dispatch_meta_inplace___radd___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5629039Z   test_dispatch_meta_inplace___radd___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5629823Z   test_dispatch_meta_inplace___radd___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5630595Z   test_dispatch_meta_inplace___radd___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5631385Z   test_dispatch_meta_inplace___radd___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5632271Z   test_dispatch_meta_inplace___rand___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5633037Z   test_dispatch_meta_inplace___rand___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5633865Z   test_dispatch_meta_inplace___rand___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5634614Z   test_dispatch_meta_inplace___rand___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.5636173Z   test_dispatch_meta_inplace___rand___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5636962Z   test_dispatch_meta_inplace___rdiv___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5637686Z   test_dispatch_meta_inplace___rdiv___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5638214Z   test_dispatch_meta_inplace___rdiv___cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5638751Z   test_dispatch_meta_inplace___rdiv___cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5639257Z   test_dispatch_meta_inplace___rdiv___cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5639784Z   test_dispatch_meta_inplace___rdiv___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5640296Z   test_dispatch_meta_inplace___rdiv___cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5640821Z   test_dispatch_meta_inplace___rdiv___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5641331Z   test_dispatch_meta_inplace___rdiv___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5641852Z   test_dispatch_meta_inplace___rdiv___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5642364Z   test_dispatch_meta_inplace___rdiv___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5642882Z   test_dispatch_meta_inplace___rdiv___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5643396Z   test_dispatch_meta_inplace___rmatmul___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.5645030Z   test_dispatch_meta_inplace___rmatmul___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5645811Z   test_dispatch_meta_inplace___rmatmul___cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5646618Z   test_dispatch_meta_inplace___rmatmul___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5647410Z   test_dispatch_meta_inplace___rmatmul___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5648205Z   test_dispatch_meta_inplace___rmatmul___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5648976Z   test_dispatch_meta_inplace___rmatmul___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5649753Z   test_dispatch_meta_inplace___rmatmul___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5650549Z   test_dispatch_meta_inplace___rmod___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5651299Z   test_dispatch_meta_inplace___rmod___cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.5653897Z   test_dispatch_meta_inplace___rmul___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5654652Z   test_dispatch_meta_inplace___rmul___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5655438Z   test_dispatch_meta_inplace___rmul___cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5656234Z   test_dispatch_meta_inplace___rmul___cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5657009Z   test_dispatch_meta_inplace___rmul___cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.5659337Z   test_dispatch_meta_inplace___rmul___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5660111Z   test_dispatch_meta_inplace___rmul___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5660861Z   test_dispatch_meta_inplace___rmul___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5661630Z   test_dispatch_meta_inplace___rmul___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.5663177Z   test_dispatch_meta_inplace___ror___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5663932Z   test_dispatch_meta_inplace___ror___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5664778Z   test_dispatch_meta_inplace___ror___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5665543Z   test_dispatch_meta_inplace___ror___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5666292Z   test_dispatch_meta_inplace___ror___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5667069Z   test_dispatch_meta_inplace___ror___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5667845Z   test_dispatch_meta_inplace___rpow___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5668636Z   test_dispatch_meta_inplace___rpow___cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5669413Z   test_dispatch_meta_inplace___rpow___cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5670202Z   test_dispatch_meta_inplace___rpow___cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5670968Z   test_dispatch_meta_inplace___rpow___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5671742Z   test_dispatch_meta_inplace___rpow___cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5672491Z   test_dispatch_meta_inplace___rpow___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5673255Z   test_dispatch_meta_inplace___rpow___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.5675607Z   test_dispatch_meta_inplace___rpow___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5676438Z   test_dispatch_meta_inplace___rsub___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5677309Z   test_dispatch_meta_inplace___rsub___cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5678116Z   test_dispatch_meta_inplace___rsub___cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5678905Z   test_dispatch_meta_inplace___rsub___cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5679689Z   test_dispatch_meta_inplace___rsub___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5680471Z   test_dispatch_meta_inplace___rsub___cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5681227Z   test_dispatch_meta_inplace___rsub___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5682001Z   test_dispatch_meta_inplace___rsub___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5682768Z   test_dispatch_meta_inplace___rsub___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5683515Z   test_dispatch_meta_inplace___rsub___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5684262Z   test_dispatch_meta_inplace___rsub___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5685022Z   test_dispatch_meta_inplace___rxor___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5685781Z   test_dispatch_meta_inplace___rxor___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5686543Z   test_dispatch_meta_inplace___rxor___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5687278Z   test_dispatch_meta_inplace___rxor___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5688046Z   test_dispatch_meta_inplace___rxor___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5688809Z   test_dispatch_meta_inplace___rxor___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5689603Z   test_dispatch_meta_inplace__softmax_backward_data_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5690457Z   test_dispatch_meta_inplace__softmax_backward_data_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5691303Z   test_dispatch_meta_inplace__softmax_backward_data_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5692109Z   test_dispatch_meta_inplace_abs_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5692864Z   test_dispatch_meta_inplace_abs_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5693470Z   test_dispatch_meta_inplace_abs_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.5694687Z   test_dispatch_meta_inplace_abs_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5695210Z   test_dispatch_meta_inplace_abs_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5695736Z   test_dispatch_meta_inplace_abs_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5696422Z   test_dispatch_meta_inplace_abs_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5696933Z   test_dispatch_meta_inplace_abs_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.5698069Z   test_dispatch_meta_inplace_abs_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5698565Z   test_dispatch_meta_inplace_abs_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5699088Z   test_dispatch_meta_inplace_acos_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5699597Z   test_dispatch_meta_inplace_acos_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5700144Z   test_dispatch_meta_inplace_acos_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5700688Z   test_dispatch_meta_inplace_acos_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5701216Z   test_dispatch_meta_inplace_acos_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5701745Z   test_dispatch_meta_inplace_acos_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5702278Z   test_dispatch_meta_inplace_acos_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5702790Z   test_dispatch_meta_inplace_acos_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5703166Z   test_dispatch_meta_inplace_acos_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5703568Z   test_dispatch_meta_inplace_acos_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5703917Z   test_dispatch_meta_inplace_acos_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5704321Z   test_dispatch_meta_inplace_acosh_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5704748Z   test_dispatch_meta_inplace_acosh_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5705161Z   test_dispatch_meta_inplace_acosh_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5705540Z   test_dispatch_meta_inplace_acosh_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5706093Z   test_dispatch_meta_inplace_acosh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5706583Z   test_dispatch_meta_inplace_acosh_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5707150Z   test_dispatch_meta_inplace_acosh_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:33:59.5707727Z   test_dispatch_meta_inplace_acosh_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5708290Z   test_dispatch_meta_inplace_acosh_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5708865Z   test_dispatch_meta_inplace_acosh_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5709470Z   test_dispatch_meta_inplace_acosh_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5710069Z   test_dispatch_meta_inplace_add_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5710622Z   test_dispatch_meta_inplace_add_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.5711235Z   test_dispatch_meta_inplace_add_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.6432503Z   test_dispatch_meta_inplace_flipud_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.6818345Z   test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.6819811Z   test_dispatch_meta_inplace_mvlgamma_mvlgamma_p_5_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.7530246Z   test_dispatch_meta_outplace_char_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.7532424Z   test_dispatch_meta_outplace_cholesky_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.7533168Z   test_dispatch_meta_outplace_cholesky_inverse_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.7534649Z   test_dispatch_meta_outplace_chunk_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.7604295Z   test_dispatch_meta_outplace_dot_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.7606035Z   test_dispatch_meta_outplace_double_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8378301Z   test_dispatch_symbolic_meta_inplace_H_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8378472Z   test_dispatch_symbolic_meta_inplace_H_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8378682Z   test_dispatch_symbolic_meta_inplace_H_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8378860Z   test_dispatch_symbolic_meta_inplace_H_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8379060Z   test_dispatch_symbolic_meta_inplace_H_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8379236Z   test_dispatch_symbolic_meta_inplace_H_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8379409Z   test_dispatch_symbolic_meta_inplace_H_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8379582Z   test_dispatch_symbolic_meta_inplace_H_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8379742Z   test_dispatch_symbolic_meta_inplace_H_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8379915Z   test_dispatch_symbolic_meta_inplace_H_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8380087Z   test_dispatch_symbolic_meta_inplace_H_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8380260Z   test_dispatch_symbolic_meta_inplace_H_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8380428Z   test_dispatch_symbolic_meta_inplace_H_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8380603Z   test_dispatch_symbolic_meta_inplace_T_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8380770Z   test_dispatch_symbolic_meta_inplace_T_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8380948Z   test_dispatch_symbolic_meta_inplace_T_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8381123Z   test_dispatch_symbolic_meta_inplace_T_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8381298Z   test_dispatch_symbolic_meta_inplace_T_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8381461Z   test_dispatch_symbolic_meta_inplace_T_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8381635Z   test_dispatch_symbolic_meta_inplace_T_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8381978Z   test_dispatch_symbolic_meta_inplace_T_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8382146Z   test_dispatch_symbolic_meta_inplace_T_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8382320Z   test_dispatch_symbolic_meta_inplace_T_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8382492Z   test_dispatch_symbolic_meta_inplace_T_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8382661Z   test_dispatch_symbolic_meta_inplace_T_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8382846Z   test_dispatch_symbolic_meta_inplace___getitem___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8383018Z   test_dispatch_symbolic_meta_inplace___getitem___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8383203Z   test_dispatch_symbolic_meta_inplace___getitem___cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8383788Z   test_dispatch_symbolic_meta_inplace___getitem___cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8383998Z   test_dispatch_symbolic_meta_inplace___getitem___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8385350Z   test_dispatch_symbolic_meta_inplace___radd___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8385529Z   test_dispatch_symbolic_meta_inplace___radd___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8385712Z   test_dispatch_symbolic_meta_inplace___radd___cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8385896Z   test_dispatch_symbolic_meta_inplace___radd___cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8386079Z   test_dispatch_symbolic_meta_inplace___radd___cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8386262Z   test_dispatch_symbolic_meta_inplace___radd___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8386442Z   test_dispatch_symbolic_meta_inplace___radd___cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8386610Z   test_dispatch_symbolic_meta_inplace___radd___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8386783Z   test_dispatch_symbolic_meta_inplace___radd___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8386952Z   test_dispatch_symbolic_meta_inplace___radd___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8387130Z   test_dispatch_symbolic_meta_inplace___radd___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8387302Z   test_dispatch_symbolic_meta_inplace___radd___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8387476Z   test_dispatch_symbolic_meta_inplace___rand___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8387643Z   test_dispatch_symbolic_meta_inplace___rand___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8388483Z   test_dispatch_symbolic_meta_inplace___rdiv___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8388692Z   test_dispatch_symbolic_meta_inplace___rdiv___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8388878Z   test_dispatch_symbolic_meta_inplace___rdiv___cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8389088Z   test_dispatch_symbolic_meta_inplace___rdiv___cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8389268Z   test_dispatch_symbolic_meta_inplace___rdiv___cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8389447Z   test_dispatch_symbolic_meta_inplace___rdiv___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8389625Z   test_dispatch_symbolic_meta_inplace___rdiv___cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8389803Z   test_dispatch_symbolic_meta_inplace___rdiv___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8389965Z   test_dispatch_symbolic_meta_inplace___rdiv___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8390132Z   test_dispatch_symbolic_meta_inplace___rdiv___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8390310Z   test_dispatch_symbolic_meta_inplace___rdiv___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8390479Z   test_dispatch_symbolic_meta_inplace___rdiv___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8390660Z   test_dispatch_symbolic_meta_inplace___rmatmul___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8390848Z   test_dispatch_symbolic_meta_inplace___rmatmul___cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.003s)
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2022-11-23T01:33:59.8391220Z   test_dispatch_symbolic_meta_inplace___rmatmul___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8391404Z   test_dispatch_symbolic_meta_inplace___rmatmul___cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8391586Z   test_dispatch_symbolic_meta_inplace___rmatmul___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8391936Z   test_dispatch_symbolic_meta_inplace___rmatmul___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8392120Z   test_dispatch_symbolic_meta_inplace___rmatmul___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8392478Z   test_dispatch_symbolic_meta_inplace___rmod___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8393189Z   test_dispatch_symbolic_meta_inplace___rmul___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8393366Z   test_dispatch_symbolic_meta_inplace___rmul___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8393535Z   test_dispatch_symbolic_meta_inplace___rmul___cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8395332Z   test_dispatch_symbolic_meta_inplace___ror___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8396361Z   test_dispatch_symbolic_meta_inplace___rpow___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8396891Z   test_dispatch_symbolic_meta_inplace___rpow___cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8398496Z   test_dispatch_symbolic_meta_inplace___rsub___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8399124Z   test_dispatch_symbolic_meta_inplace___rsub___cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8400514Z   test_dispatch_symbolic_meta_inplace___rxor___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8425107Z   test_dispatch_symbolic_meta_inplace_all_strides___getitem___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8425305Z   test_dispatch_symbolic_meta_inplace_all_strides___radd___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8425497Z   test_dispatch_symbolic_meta_inplace_all_strides___rand___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8425689Z   test_dispatch_symbolic_meta_inplace_all_strides___rdiv___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8425882Z   test_dispatch_symbolic_meta_inplace_all_strides___rmatmul___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8426075Z   test_dispatch_symbolic_meta_inplace_all_strides___rmod___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8426264Z   test_dispatch_symbolic_meta_inplace_all_strides___rmul___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8426439Z   test_dispatch_symbolic_meta_inplace_all_strides___ror___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8426630Z   test_dispatch_symbolic_meta_inplace_all_strides___rpow___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8426816Z   test_dispatch_symbolic_meta_inplace_all_strides___rsub___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8427003Z   test_dispatch_symbolic_meta_inplace_all_strides___rxor___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8427216Z   test_dispatch_symbolic_meta_inplace_all_strides__softmax_backward_data_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8427407Z   test_dispatch_symbolic_meta_inplace_all_strides_abs_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8427600Z   test_dispatch_symbolic_meta_inplace_all_strides_acos_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8427792Z   test_dispatch_symbolic_meta_inplace_all_strides_acosh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8427979Z   test_dispatch_symbolic_meta_inplace_all_strides_add_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8428168Z   test_dispatch_symbolic_meta_inplace_all_strides_addbmm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8428350Z   test_dispatch_symbolic_meta_inplace_all_strides_addcdiv_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8428536Z   test_dispatch_symbolic_meta_inplace_all_strides_addcmul_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8428757Z   test_dispatch_symbolic_meta_inplace_all_strides_addmm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8428989Z   test_dispatch_symbolic_meta_inplace_all_strides_addmm_decomposed_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8429181Z   test_dispatch_symbolic_meta_inplace_all_strides_addmv_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8429369Z   test_dispatch_symbolic_meta_inplace_all_strides_addr_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8429560Z   test_dispatch_symbolic_meta_inplace_all_strides_all_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8429756Z   test_dispatch_symbolic_meta_inplace_all_strides_allclose_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8429944Z   test_dispatch_symbolic_meta_inplace_all_strides_amax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8430134Z   test_dispatch_symbolic_meta_inplace_all_strides_amin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8430314Z   test_dispatch_symbolic_meta_inplace_all_strides_aminmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8430504Z   test_dispatch_symbolic_meta_inplace_all_strides_angle_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8430690Z   test_dispatch_symbolic_meta_inplace_all_strides_any_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8430884Z   test_dispatch_symbolic_meta_inplace_all_strides_arange_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8431076Z   test_dispatch_symbolic_meta_inplace_all_strides_argmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8431268Z   test_dispatch_symbolic_meta_inplace_all_strides_argmin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8431463Z   test_dispatch_symbolic_meta_inplace_all_strides_argsort_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8431657Z   test_dispatch_symbolic_meta_inplace_all_strides_argwhere_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8431851Z   test_dispatch_symbolic_meta_inplace_all_strides_as_strided_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8432054Z   test_dispatch_symbolic_meta_inplace_all_strides_as_strided_scatter_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8432230Z   test_dispatch_symbolic_meta_inplace_all_strides_asin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8432424Z   test_dispatch_symbolic_meta_inplace_all_strides_asinh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8432614Z   test_dispatch_symbolic_meta_inplace_all_strides_atan2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8432808Z   test_dispatch_symbolic_meta_inplace_all_strides_atan_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8432998Z   test_dispatch_symbolic_meta_inplace_all_strides_atanh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8433193Z   test_dispatch_symbolic_meta_inplace_all_strides_atleast_1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8433382Z   test_dispatch_symbolic_meta_inplace_all_strides_atleast_2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8433568Z   test_dispatch_symbolic_meta_inplace_all_strides_atleast_3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8433797Z   test_dispatch_symbolic_meta_inplace_all_strides_baddbmm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8434019Z   test_dispatch_symbolic_meta_inplace_all_strides_bernoulli_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8434212Z   test_dispatch_symbolic_meta_inplace_all_strides_bfloat16_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8434389Z   test_dispatch_symbolic_meta_inplace_all_strides_bincount_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8434582Z   test_dispatch_symbolic_meta_inplace_all_strides_bitwise_and_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8434780Z   test_dispatch_symbolic_meta_inplace_all_strides_bitwise_left_shift_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8434974Z   test_dispatch_symbolic_meta_inplace_all_strides_bitwise_not_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8435166Z   test_dispatch_symbolic_meta_inplace_all_strides_bitwise_or_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8435370Z   test_dispatch_symbolic_meta_inplace_all_strides_bitwise_right_shift_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8435565Z   test_dispatch_symbolic_meta_inplace_all_strides_bitwise_xor_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8435759Z   test_dispatch_symbolic_meta_inplace_all_strides_block_diag_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8435947Z   test_dispatch_symbolic_meta_inplace_all_strides_bmm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8436138Z   test_dispatch_symbolic_meta_inplace_all_strides_bool_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8436329Z   test_dispatch_symbolic_meta_inplace_all_strides_broadcast_shapes_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8436534Z   test_dispatch_symbolic_meta_inplace_all_strides_broadcast_tensors_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8436733Z   test_dispatch_symbolic_meta_inplace_all_strides_broadcast_to_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8436929Z   test_dispatch_symbolic_meta_inplace_all_strides_bucketize_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8437361Z   test_dispatch_symbolic_meta_inplace_all_strides_byte_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8437580Z   test_dispatch_symbolic_meta_inplace_all_strides_cartesian_prod_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8437772Z   test_dispatch_symbolic_meta_inplace_all_strides_cat_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8437965Z   test_dispatch_symbolic_meta_inplace_all_strides_cdist_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8438160Z   test_dispatch_symbolic_meta_inplace_all_strides_cdouble_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8438352Z   test_dispatch_symbolic_meta_inplace_all_strides_ceil_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8438535Z   test_dispatch_symbolic_meta_inplace_all_strides_cfloat_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8438731Z   test_dispatch_symbolic_meta_inplace_all_strides_chalf_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8438972Z   test_dispatch_symbolic_meta_inplace_all_strides_char_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8439166Z   test_dispatch_symbolic_meta_inplace_all_strides_cholesky_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8439409Z   test_dispatch_symbolic_meta_inplace_all_strides_cholesky_inverse_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8439612Z   test_dispatch_symbolic_meta_inplace_all_strides_cholesky_solve_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8439806Z   test_dispatch_symbolic_meta_inplace_all_strides_chunk_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8439998Z   test_dispatch_symbolic_meta_inplace_all_strides_clamp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8440196Z   test_dispatch_symbolic_meta_inplace_all_strides_clamp_max_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8440389Z   test_dispatch_symbolic_meta_inplace_all_strides_clamp_min_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8440570Z   test_dispatch_symbolic_meta_inplace_all_strides_clone_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8440767Z   test_dispatch_symbolic_meta_inplace_all_strides_column_stack_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8440967Z   test_dispatch_symbolic_meta_inplace_all_strides_combinations_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8441162Z   test_dispatch_symbolic_meta_inplace_all_strides_complex_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8441351Z   test_dispatch_symbolic_meta_inplace_all_strides_conj_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8441551Z   test_dispatch_symbolic_meta_inplace_all_strides_conj_physical_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8441754Z   test_dispatch_symbolic_meta_inplace_all_strides_constant_pad_nd_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8441952Z   test_dispatch_symbolic_meta_inplace_all_strides_contiguous_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8442146Z   test_dispatch_symbolic_meta_inplace_all_strides_copysign_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8442338Z   test_dispatch_symbolic_meta_inplace_all_strides_corrcoef_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8442527Z   test_dispatch_symbolic_meta_inplace_all_strides_cos_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8442707Z   test_dispatch_symbolic_meta_inplace_all_strides_cosh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8442910Z   test_dispatch_symbolic_meta_inplace_all_strides_count_nonzero_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8443099Z   test_dispatch_symbolic_meta_inplace_all_strides_cov_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8443292Z   test_dispatch_symbolic_meta_inplace_all_strides_cross_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8443481Z   test_dispatch_symbolic_meta_inplace_all_strides_cummax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8443671Z   test_dispatch_symbolic_meta_inplace_all_strides_cummin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8443863Z   test_dispatch_symbolic_meta_inplace_all_strides_cumprod_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8444083Z   test_dispatch_symbolic_meta_inplace_all_strides_cumsum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8444320Z   test_dispatch_symbolic_meta_inplace_all_strides_cumulative_trapezoid_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8444515Z   test_dispatch_symbolic_meta_inplace_all_strides_deg2rad_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8444691Z   test_dispatch_symbolic_meta_inplace_all_strides_diag_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8444886Z   test_dispatch_symbolic_meta_inplace_all_strides_diag_embed_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8445079Z   test_dispatch_symbolic_meta_inplace_all_strides_diagflat_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8445280Z   test_dispatch_symbolic_meta_inplace_all_strides_diagonal_copy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8445476Z   test_dispatch_symbolic_meta_inplace_all_strides_diagonal_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8445678Z   test_dispatch_symbolic_meta_inplace_all_strides_diagonal_scatter_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8445866Z   test_dispatch_symbolic_meta_inplace_all_strides_diff_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8446060Z   test_dispatch_symbolic_meta_inplace_all_strides_digamma_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8446248Z   test_dispatch_symbolic_meta_inplace_all_strides_dist_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8446451Z   test_dispatch_symbolic_meta_inplace_all_strides_div_floor_rounding_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8446645Z   test_dispatch_symbolic_meta_inplace_all_strides_div_no_rounding_mode_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8446850Z   test_dispatch_symbolic_meta_inplace_all_strides_div_trunc_rounding_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8447037Z   test_dispatch_symbolic_meta_inplace_all_strides_dot_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8447227Z   test_dispatch_symbolic_meta_inplace_all_strides_double_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8447417Z   test_dispatch_symbolic_meta_inplace_all_strides_dsplit_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8447608Z   test_dispatch_symbolic_meta_inplace_all_strides_dstack_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8447798Z   test_dispatch_symbolic_meta_inplace_all_strides_einsum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8447990Z   test_dispatch_symbolic_meta_inplace_all_strides_empty_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8448186Z   test_dispatch_symbolic_meta_inplace_all_strides_empty_like_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8448373Z   test_dispatch_symbolic_meta_inplace_all_strides_eq_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8448551Z   test_dispatch_symbolic_meta_inplace_all_strides_equal_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8448737Z   test_dispatch_symbolic_meta_inplace_all_strides_erf_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8448956Z   test_dispatch_symbolic_meta_inplace_all_strides_erfc_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8449172Z   test_dispatch_symbolic_meta_inplace_all_strides_erfinv_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8449361Z   test_dispatch_symbolic_meta_inplace_all_strides_exp2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8449547Z   test_dispatch_symbolic_meta_inplace_all_strides_exp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8449744Z   test_dispatch_symbolic_meta_inplace_all_strides_expand_as_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8449935Z   test_dispatch_symbolic_meta_inplace_all_strides_expand_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8450128Z   test_dispatch_symbolic_meta_inplace_all_strides_expm1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8450317Z   test_dispatch_symbolic_meta_inplace_all_strides_eye_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8450511Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_fft2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8450691Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_fft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8450878Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_fftn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8451074Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_fftshift_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8451269Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_hfft2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8451462Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_hfft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8451656Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_hfftn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8451846Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_ifft2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8452036Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_ifft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8452226Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_ifftn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8452423Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_ifftshift_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8452610Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_ihfft2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8452805Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_ihfft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8452998Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_ihfftn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8453182Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_irfft2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8453370Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_irfft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8453555Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_irfftn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8453773Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_rfft2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8453963Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_rfft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8454176Z   test_dispatch_symbolic_meta_inplace_all_strides_fft_rfftn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8454363Z   test_dispatch_symbolic_meta_inplace_all_strides_fill_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8454544Z   test_dispatch_symbolic_meta_inplace_all_strides_flatten_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8454731Z   test_dispatch_symbolic_meta_inplace_all_strides_flip_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8454919Z   test_dispatch_symbolic_meta_inplace_all_strides_fliplr_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8455113Z   test_dispatch_symbolic_meta_inplace_all_strides_flipud_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8455305Z   test_dispatch_symbolic_meta_inplace_all_strides_float_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8455502Z   test_dispatch_symbolic_meta_inplace_all_strides_float_power_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8455692Z   test_dispatch_symbolic_meta_inplace_all_strides_floor_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8455888Z   test_dispatch_symbolic_meta_inplace_all_strides_floor_divide_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8456074Z   test_dispatch_symbolic_meta_inplace_all_strides_fmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8456263Z   test_dispatch_symbolic_meta_inplace_all_strides_fmin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8456440Z   test_dispatch_symbolic_meta_inplace_all_strides_fmod_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8456631Z   test_dispatch_symbolic_meta_inplace_all_strides_frac_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8456820Z   test_dispatch_symbolic_meta_inplace_all_strides_frexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8457003Z   test_dispatch_symbolic_meta_inplace_all_strides_full_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8457197Z   test_dispatch_symbolic_meta_inplace_all_strides_full_like_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8457389Z   test_dispatch_symbolic_meta_inplace_all_strides_gather_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8457579Z   test_dispatch_symbolic_meta_inplace_all_strides_gcd_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8457768Z   test_dispatch_symbolic_meta_inplace_all_strides_ge_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8457959Z   test_dispatch_symbolic_meta_inplace_all_strides_geqrf_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8458153Z   test_dispatch_symbolic_meta_inplace_all_strides_gradient_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8458340Z   test_dispatch_symbolic_meta_inplace_all_strides_grid_sampler_2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8458525Z   test_dispatch_symbolic_meta_inplace_all_strides_gt_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8458740Z   test_dispatch_symbolic_meta_inplace_all_strides_half_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8458964Z   test_dispatch_symbolic_meta_inplace_all_strides_heaviside_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8459153Z   test_dispatch_symbolic_meta_inplace_all_strides_histc_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8459344Z   test_dispatch_symbolic_meta_inplace_all_strides_hsplit_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8459534Z   test_dispatch_symbolic_meta_inplace_all_strides_hstack_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8459722Z   test_dispatch_symbolic_meta_inplace_all_strides_hypot_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8459906Z   test_dispatch_symbolic_meta_inplace_all_strides_i0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8460096Z   test_dispatch_symbolic_meta_inplace_all_strides_igamma_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8460280Z   test_dispatch_symbolic_meta_inplace_all_strides_igammac_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8460471Z   test_dispatch_symbolic_meta_inplace_all_strides_imag_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8460665Z   test_dispatch_symbolic_meta_inplace_all_strides_index_add_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8460859Z   test_dispatch_symbolic_meta_inplace_all_strides_index_copy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8461045Z   test_dispatch_symbolic_meta_inplace_all_strides_index_fill_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8461238Z   test_dispatch_symbolic_meta_inplace_all_strides_index_put_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8461436Z   test_dispatch_symbolic_meta_inplace_all_strides_index_reduce_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8461634Z   test_dispatch_symbolic_meta_inplace_all_strides_index_select_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8461825Z   test_dispatch_symbolic_meta_inplace_all_strides_inner_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8462015Z   test_dispatch_symbolic_meta_inplace_all_strides_int_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8462204Z   test_dispatch_symbolic_meta_inplace_all_strides_isclose_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8462386Z   test_dispatch_symbolic_meta_inplace_all_strides_isfinite_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8462572Z   test_dispatch_symbolic_meta_inplace_all_strides_isin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8462764Z   test_dispatch_symbolic_meta_inplace_all_strides_isinf_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8462952Z   test_dispatch_symbolic_meta_inplace_all_strides_isnan_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8463145Z   test_dispatch_symbolic_meta_inplace_all_strides_isneginf_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8463335Z   test_dispatch_symbolic_meta_inplace_all_strides_isposinf_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8463524Z   test_dispatch_symbolic_meta_inplace_all_strides_isreal_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.003s)
2022-11-23T01:33:59.8463744Z   test_dispatch_symbolic_meta_inplace_all_strides_istft_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8463981Z   test_dispatch_symbolic_meta_inplace_all_strides_jiterator_2inputs_2outputs_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8464199Z   test_dispatch_symbolic_meta_inplace_all_strides_jiterator_4inputs_with_extra_args_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8464468Z   test_dispatch_symbolic_meta_inplace_all_strides_jiterator_binary_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8464687Z   test_dispatch_symbolic_meta_inplace_all_strides_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8464889Z   test_dispatch_symbolic_meta_inplace_all_strides_jiterator_unary_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8465083Z   test_dispatch_symbolic_meta_inplace_all_strides_kron_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8465282Z   test_dispatch_symbolic_meta_inplace_all_strides_kthvalue_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8465470Z   test_dispatch_symbolic_meta_inplace_all_strides_lcm_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8465662Z   test_dispatch_symbolic_meta_inplace_all_strides_ldexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8465848Z   test_dispatch_symbolic_meta_inplace_all_strides_le_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8466038Z   test_dispatch_symbolic_meta_inplace_all_strides_lerp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8466234Z   test_dispatch_symbolic_meta_inplace_all_strides_lgamma_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8466426Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_cholesky_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8466632Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_cholesky_ex_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8466830Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_cond_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8467028Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_cross_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8467225Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_det_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8467432Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_det_singular_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8467629Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_eig_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8467831Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_eigh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8468032Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_eigvals_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8468235Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_eigvalsh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8468448Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_householder_product_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8468673Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_inv_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8468868Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_inv_ex_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8469094Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_ldl_factor_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8469299Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_ldl_factor_ex_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8469502Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_ldl_solve_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8469697Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_lstsq_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8469911Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_lstsq_grad_oriented_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8470108Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_lu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8470308Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_lu_factor_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8470512Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_lu_factor_ex_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8470713Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_lu_solve_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8470903Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_matrix_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8471107Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_matrix_power_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8471310Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_matrix_rank_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8471526Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_matrix_rank_hermitian_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8471727Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_multi_dot_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8471926Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8472146Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_norm_subgradients_at_zero_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8472345Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_pinv_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8472555Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_pinv_hermitian_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8472766Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_pinv_singular_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8472950Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_qr_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8473147Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_slogdet_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8473343Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_solve_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8473542Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_solve_ex_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8473778Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_solve_triangular_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8473998Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_svd_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8474193Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_svdvals_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8474395Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_tensorinv_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8474597Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_tensorsolve_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8474796Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_vander_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8474998Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_vecdot_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8475186Z   test_dispatch_symbolic_meta_inplace_all_strides_linalg_vector_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8475381Z   test_dispatch_symbolic_meta_inplace_all_strides_linspace_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8475569Z   test_dispatch_symbolic_meta_inplace_all_strides_log10_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8475759Z   test_dispatch_symbolic_meta_inplace_all_strides_log1p_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8475948Z   test_dispatch_symbolic_meta_inplace_all_strides_log2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8476139Z   test_dispatch_symbolic_meta_inplace_all_strides_log_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8476337Z   test_dispatch_symbolic_meta_inplace_all_strides_log_softmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8476544Z   test_dispatch_symbolic_meta_inplace_all_strides_log_softmax_with_dtype_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8476737Z   test_dispatch_symbolic_meta_inplace_all_strides_logaddexp2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8476930Z   test_dispatch_symbolic_meta_inplace_all_strides_logaddexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8477234Z   test_dispatch_symbolic_meta_inplace_all_strides_logcumsumexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8477509Z   test_dispatch_symbolic_meta_inplace_all_strides_logdet_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8477708Z   test_dispatch_symbolic_meta_inplace_all_strides_logical_and_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8477907Z   test_dispatch_symbolic_meta_inplace_all_strides_logical_not_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8478103Z   test_dispatch_symbolic_meta_inplace_all_strides_logical_or_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8478298Z   test_dispatch_symbolic_meta_inplace_all_strides_logical_xor_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8478492Z   test_dispatch_symbolic_meta_inplace_all_strides_logit_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8478685Z   test_dispatch_symbolic_meta_inplace_all_strides_logspace_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8478931Z   test_dispatch_symbolic_meta_inplace_all_strides_logsumexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8479184Z   test_dispatch_symbolic_meta_inplace_all_strides_long_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8479374Z   test_dispatch_symbolic_meta_inplace_all_strides_lt_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8479550Z   test_dispatch_symbolic_meta_inplace_all_strides_lu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8479744Z   test_dispatch_symbolic_meta_inplace_all_strides_lu_solve_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8479940Z   test_dispatch_symbolic_meta_inplace_all_strides_lu_unpack_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8480130Z   test_dispatch_symbolic_meta_inplace_all_strides_mH_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8480318Z   test_dispatch_symbolic_meta_inplace_all_strides_mT_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8480517Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_amax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8480715Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_amin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8480920Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_argmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8481119Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_argmin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8481323Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_cumprod_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8481509Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_cumsum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8481710Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_fill_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8481914Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_log_softmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8482118Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_logaddexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8482322Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_logsumexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8482519Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_mean_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8482716Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_median_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8482964Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8483238Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_normalize_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8483514Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_prod_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8483703Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_scatter_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8483922Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_select_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8484201Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_softmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8484432Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_softmin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8484627Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_std_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8484818Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_sum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8485004Z   test_dispatch_symbolic_meta_inplace_all_strides_masked_var_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8485196Z   test_dispatch_symbolic_meta_inplace_all_strides_matmul_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8485393Z   test_dispatch_symbolic_meta_inplace_all_strides_matrix_exp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8485587Z   test_dispatch_symbolic_meta_inplace_all_strides_max_binary_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8485805Z   test_dispatch_symbolic_meta_inplace_all_strides_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8485999Z   test_dispatch_symbolic_meta_inplace_all_strides_max_reduction_no_dim_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8486207Z   test_dispatch_symbolic_meta_inplace_all_strides_max_reduction_with_dim_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8486402Z   test_dispatch_symbolic_meta_inplace_all_strides_maximum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8486593Z   test_dispatch_symbolic_meta_inplace_all_strides_mean_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8486789Z   test_dispatch_symbolic_meta_inplace_all_strides_median_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8487000Z   test_dispatch_symbolic_meta_inplace_all_strides_meshgrid_list_of_tensors_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8487214Z   test_dispatch_symbolic_meta_inplace_all_strides_meshgrid_variadic_tensors_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8487409Z   test_dispatch_symbolic_meta_inplace_all_strides_min_binary_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8487613Z   test_dispatch_symbolic_meta_inplace_all_strides_min_reduction_no_dim_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8487821Z   test_dispatch_symbolic_meta_inplace_all_strides_min_reduction_with_dim_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8488015Z   test_dispatch_symbolic_meta_inplace_all_strides_minimum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8488189Z   test_dispatch_symbolic_meta_inplace_all_strides_mm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8488377Z   test_dispatch_symbolic_meta_inplace_all_strides_mode_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8488568Z   test_dispatch_symbolic_meta_inplace_all_strides_movedim_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8488758Z   test_dispatch_symbolic_meta_inplace_all_strides_msort_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8488971Z   test_dispatch_symbolic_meta_inplace_all_strides_mul_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8489169Z   test_dispatch_symbolic_meta_inplace_all_strides_multinomial_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8489380Z   test_dispatch_symbolic_meta_inplace_all_strides_mv_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8489589Z   test_dispatch_symbolic_meta_inplace_all_strides_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8489797Z   test_dispatch_symbolic_meta_inplace_all_strides_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8490005Z   test_dispatch_symbolic_meta_inplace_all_strides_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8490187Z   test_dispatch_symbolic_meta_inplace_all_strides_nan_to_num_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8490381Z   test_dispatch_symbolic_meta_inplace_all_strides_nanmean_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8490578Z   test_dispatch_symbolic_meta_inplace_all_strides_nanmedian_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8490773Z   test_dispatch_symbolic_meta_inplace_all_strides_nanquantile_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8490962Z   test_dispatch_symbolic_meta_inplace_all_strides_nansum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8491152Z   test_dispatch_symbolic_meta_inplace_all_strides_narrow_copy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8491338Z   test_dispatch_symbolic_meta_inplace_all_strides_narrow_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8491542Z   test_dispatch_symbolic_meta_inplace_all_strides_native_batch_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8491754Z   test_dispatch_symbolic_meta_inplace_all_strides_native_dropout_backward_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8491955Z   test_dispatch_symbolic_meta_inplace_all_strides_native_layer_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8492128Z   test_dispatch_symbolic_meta_inplace_all_strides_ne_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8492313Z   test_dispatch_symbolic_meta_inplace_all_strides_neg_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8492508Z   test_dispatch_symbolic_meta_inplace_all_strides_new_empty_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8492715Z   test_dispatch_symbolic_meta_inplace_all_strides_new_empty_strided_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8492913Z   test_dispatch_symbolic_meta_inplace_all_strides_new_full_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8493100Z   test_dispatch_symbolic_meta_inplace_all_strides_new_ones_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8493293Z   test_dispatch_symbolic_meta_inplace_all_strides_new_zeros_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8493484Z   test_dispatch_symbolic_meta_inplace_all_strides_nextafter_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8493716Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional__scaled_dot_product_attention_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8493965Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_adaptive_avg_pool1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8494215Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_adaptive_avg_pool2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8494420Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_adaptive_avg_pool3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8494633Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_adaptive_max_pool1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8494846Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_adaptive_max_pool2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8495060Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_adaptive_max_pool3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8495274Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_alpha_dropout_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8495488Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_avg_pool1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8495692Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_avg_pool2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8495895Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_avg_pool3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8496096Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_batch_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8496304Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_bilinear_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8496522Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8496737Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8496942Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_celu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8497144Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_conv1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8497350Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_conv2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8497567Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8497782Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8497996Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8498218Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_cosine_embedding_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8498433Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_cosine_similarity_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8498645Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_cross_entropy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8498877Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_ctc_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8499115Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_dropout2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8499308Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_dropout3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8499516Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_dropout_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8499718Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_elu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8499933Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_embedding_bag_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8500146Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_embedding_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8500379Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_feature_alpha_dropout_with_train_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8500613Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_feature_alpha_dropout_without_train_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8500832Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_fractional_max_pool2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8501056Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_fractional_max_pool3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8501274Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_gaussian_nll_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8501478Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_gelu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8501666Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_glu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8501875Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_grid_sample_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8502081Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_group_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8502286Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_hardshrink_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8502495Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_hardsigmoid_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8502704Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_hardswish_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8502908Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_hardtanh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8503128Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8503337Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_huber_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8503591Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_instance_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8503832Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_interpolate_area_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8504042Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_interpolate_bicubic_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8504262Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_interpolate_bilinear_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8504555Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_interpolate_linear_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8504781Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_interpolate_nearest_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8505007Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_interpolate_trilinear_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8505216Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_kl_div_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8505420Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_l1_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8505631Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_layer_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8505834Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_leaky_relu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8506039Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_linear_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8506262Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_local_response_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8506478Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_logsigmoid_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8506682Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8506892Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_max_pool1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8507099Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_max_pool2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8507303Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_max_pool3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8507513Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_max_unpool1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8507733Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_max_unpool1d_grad_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8507948Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_max_unpool2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8508165Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_max_unpool2d_grad_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8508374Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_max_unpool3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8508621Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_max_unpool3d_grad_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8508850Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_mish_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8509043Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_mse_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8509258Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_multi_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8509478Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_multilabel_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8509709Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_multilabel_soft_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8509917Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_nll_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8510131Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_normalize_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8510382Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_one_hot_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8510595Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_pad_circular_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8510800Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_pad_constant_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8511013Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_pad_reflect_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8511228Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_pad_replicate_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8511433Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_pairwise_distance_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8511636Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_pdist_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8511848Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_pixel_shuffle_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8512062Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_pixel_unshuffle_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8512276Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8512482Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_prelu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8512683Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_relu6_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8512883Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_relu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8513081Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_rrelu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8513285Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_selu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8513515Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_silu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8513742Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_smooth_l1_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8513955Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_soft_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8514161Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_softmin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8514378Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_softmin_with_dtype_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8514583Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_softplus_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8514794Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_softshrink_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8515004Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_softsign_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8515213Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_tanhshrink_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8515420Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_threshold_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8515637Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_triplet_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8515868Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_triplet_margin_with_distance_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8516074Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_unfold_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8516281Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_upsample_bilinear_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8516500Z   test_dispatch_symbolic_meta_inplace_all_strides_nn_functional_upsample_nearest_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8516693Z   test_dispatch_symbolic_meta_inplace_all_strides_nonzero_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8516880Z   test_dispatch_symbolic_meta_inplace_all_strides_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8517078Z   test_dispatch_symbolic_meta_inplace_all_strides_norm_fro_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8517504Z   test_dispatch_symbolic_meta_inplace_all_strides_norm_inf_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8517699Z   test_dispatch_symbolic_meta_inplace_all_strides_norm_nuc_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8517893Z   test_dispatch_symbolic_meta_inplace_all_strides_normal_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8518097Z   test_dispatch_symbolic_meta_inplace_all_strides_normal_number_mean_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8518286Z   test_dispatch_symbolic_meta_inplace_all_strides_ones_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8518468Z   test_dispatch_symbolic_meta_inplace_all_strides_ones_like_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8518716Z   test_dispatch_symbolic_meta_inplace_all_strides_ormqr_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8518945Z   test_dispatch_symbolic_meta_inplace_all_strides_outer_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8519147Z   test_dispatch_symbolic_meta_inplace_all_strides_pca_lowrank_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8519342Z   test_dispatch_symbolic_meta_inplace_all_strides_permute_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8519537Z   test_dispatch_symbolic_meta_inplace_all_strides_pinverse_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8519728Z   test_dispatch_symbolic_meta_inplace_all_strides_polar_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8519941Z   test_dispatch_symbolic_meta_inplace_all_strides_polygamma_polygamma_n_0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8520151Z   test_dispatch_symbolic_meta_inplace_all_strides_polygamma_polygamma_n_1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8520352Z   test_dispatch_symbolic_meta_inplace_all_strides_polygamma_polygamma_n_2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8520553Z   test_dispatch_symbolic_meta_inplace_all_strides_polygamma_polygamma_n_3_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8520739Z   test_dispatch_symbolic_meta_inplace_all_strides_polygamma_polygamma_n_4_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8520933Z   test_dispatch_symbolic_meta_inplace_all_strides_positive_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8521125Z   test_dispatch_symbolic_meta_inplace_all_strides_pow_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8521317Z   test_dispatch_symbolic_meta_inplace_all_strides_prod_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8521506Z   test_dispatch_symbolic_meta_inplace_all_strides_put_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8521692Z   test_dispatch_symbolic_meta_inplace_all_strides_qr_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8521885Z   test_dispatch_symbolic_meta_inplace_all_strides_quantile_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8522077Z   test_dispatch_symbolic_meta_inplace_all_strides_rad2deg_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8522270Z   test_dispatch_symbolic_meta_inplace_all_strides_rand_like_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8522461Z   test_dispatch_symbolic_meta_inplace_all_strides_randint_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8522646Z   test_dispatch_symbolic_meta_inplace_all_strides_randint_like_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8522837Z   test_dispatch_symbolic_meta_inplace_all_strides_randn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8523028Z   test_dispatch_symbolic_meta_inplace_all_strides_randn_like_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8523217Z   test_dispatch_symbolic_meta_inplace_all_strides_ravel_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8523407Z   test_dispatch_symbolic_meta_inplace_all_strides_real_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8523635Z   test_dispatch_symbolic_meta_inplace_all_strides_reciprocal_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8523855Z   test_dispatch_symbolic_meta_inplace_all_strides_remainder_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8524045Z   test_dispatch_symbolic_meta_inplace_all_strides_renorm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8524235Z   test_dispatch_symbolic_meta_inplace_all_strides_repeat_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8524438Z   test_dispatch_symbolic_meta_inplace_all_strides_repeat_interleave_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8524620Z   test_dispatch_symbolic_meta_inplace_all_strides_reshape_as_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8524812Z   test_dispatch_symbolic_meta_inplace_all_strides_reshape_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8524996Z   test_dispatch_symbolic_meta_inplace_all_strides_resize__cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8525185Z   test_dispatch_symbolic_meta_inplace_all_strides_resize_as__cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8525380Z   test_dispatch_symbolic_meta_inplace_all_strides_resolve_conj_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8525577Z   test_dispatch_symbolic_meta_inplace_all_strides_resolve_neg_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8525767Z   test_dispatch_symbolic_meta_inplace_all_strides_roll_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8525956Z   test_dispatch_symbolic_meta_inplace_all_strides_rot90_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8526147Z   test_dispatch_symbolic_meta_inplace_all_strides_round_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8526350Z   test_dispatch_symbolic_meta_inplace_all_strides_round_decimals_0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8526551Z   test_dispatch_symbolic_meta_inplace_all_strides_round_decimals_3_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8526745Z   test_dispatch_symbolic_meta_inplace_all_strides_round_decimals_neg_3_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8526935Z   test_dispatch_symbolic_meta_inplace_all_strides_rsqrt_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8527124Z   test_dispatch_symbolic_meta_inplace_all_strides_rsub_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8527324Z   test_dispatch_symbolic_meta_inplace_all_strides_scalar_tensor_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8527524Z   test_dispatch_symbolic_meta_inplace_all_strides_scatter_add_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8527717Z   test_dispatch_symbolic_meta_inplace_all_strides_scatter_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8527921Z   test_dispatch_symbolic_meta_inplace_all_strides_scatter_reduce_amax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8528126Z   test_dispatch_symbolic_meta_inplace_all_strides_scatter_reduce_amin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8528330Z   test_dispatch_symbolic_meta_inplace_all_strides_scatter_reduce_mean_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8528565Z   test_dispatch_symbolic_meta_inplace_all_strides_scatter_reduce_prod_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8528786Z   test_dispatch_symbolic_meta_inplace_all_strides_scatter_reduce_sum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8528986Z   test_dispatch_symbolic_meta_inplace_all_strides_searchsorted_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8529196Z   test_dispatch_symbolic_meta_inplace_all_strides_segment_reduce_lengths_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8529402Z   test_dispatch_symbolic_meta_inplace_all_strides_segment_reduce_offsets_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8529593Z   test_dispatch_symbolic_meta_inplace_all_strides_select_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8529793Z   test_dispatch_symbolic_meta_inplace_all_strides_select_scatter_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8529984Z   test_dispatch_symbolic_meta_inplace_all_strides_sgn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8530173Z   test_dispatch_symbolic_meta_inplace_all_strides_short_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8530365Z   test_dispatch_symbolic_meta_inplace_all_strides_sigmoid_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8530553Z   test_dispatch_symbolic_meta_inplace_all_strides_sign_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8530759Z   test_dispatch_symbolic_meta_inplace_all_strides_signal_windows_cosine_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8530963Z   test_dispatch_symbolic_meta_inplace_all_strides_signal_windows_exponential_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8531171Z   test_dispatch_symbolic_meta_inplace_all_strides_signal_windows_gaussian_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8531376Z   test_dispatch_symbolic_meta_inplace_all_strides_signal_windows_kaiser_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8531567Z   test_dispatch_symbolic_meta_inplace_all_strides_signbit_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8531754Z   test_dispatch_symbolic_meta_inplace_all_strides_sin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8531943Z   test_dispatch_symbolic_meta_inplace_all_strides_sinc_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8532136Z   test_dispatch_symbolic_meta_inplace_all_strides_sinh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8532327Z   test_dispatch_symbolic_meta_inplace_all_strides_slice_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8532529Z   test_dispatch_symbolic_meta_inplace_all_strides_slice_scatter_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8532721Z   test_dispatch_symbolic_meta_inplace_all_strides_softmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8532910Z   test_dispatch_symbolic_meta_inplace_all_strides_softmax_with_dtype_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8533097Z   test_dispatch_symbolic_meta_inplace_all_strides_sort_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8533305Z   test_dispatch_symbolic_meta_inplace_all_strides_sparse_sampled_addmm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8533537Z   test_dispatch_symbolic_meta_inplace_all_strides_special_airy_ai_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8533768Z   test_dispatch_symbolic_meta_inplace_all_strides_special_bessel_j0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8533970Z   test_dispatch_symbolic_meta_inplace_all_strides_special_bessel_j1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8534170Z   test_dispatch_symbolic_meta_inplace_all_strides_special_bessel_y0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8534367Z   test_dispatch_symbolic_meta_inplace_all_strides_special_bessel_y1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8534587Z   test_dispatch_symbolic_meta_inplace_all_strides_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8534807Z   test_dispatch_symbolic_meta_inplace_all_strides_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8535323Z   test_dispatch_symbolic_meta_inplace_all_strides_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.8535700Z   test_dispatch_symbolic_meta_inplace_all_strides_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.8535902Z   test_dispatch_symbolic_meta_inplace_all_strides_special_entr_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8536104Z   test_dispatch_symbolic_meta_inplace_all_strides_special_erfcx_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8536324Z   test_dispatch_symbolic_meta_inplace_all_strides_special_hermite_polynomial_h_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8536547Z   test_dispatch_symbolic_meta_inplace_all_strides_special_hermite_polynomial_he_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.005s)
2022-11-23T01:33:59.8536746Z   test_dispatch_symbolic_meta_inplace_all_strides_special_i0e_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8536943Z   test_dispatch_symbolic_meta_inplace_all_strides_special_i1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8537140Z   test_dispatch_symbolic_meta_inplace_all_strides_special_i1e_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8537357Z   test_dispatch_symbolic_meta_inplace_all_strides_special_laguerre_polynomial_l_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8537748Z   test_dispatch_symbolic_meta_inplace_all_strides_special_legendre_polynomial_p_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.8537953Z   test_dispatch_symbolic_meta_inplace_all_strides_special_log_ndtr_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8538153Z   test_dispatch_symbolic_meta_inplace_all_strides_special_modified_bessel_i0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8538364Z   test_dispatch_symbolic_meta_inplace_all_strides_special_modified_bessel_i1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8538567Z   test_dispatch_symbolic_meta_inplace_all_strides_special_modified_bessel_k0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8538769Z   test_dispatch_symbolic_meta_inplace_all_strides_special_modified_bessel_k1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8539007Z   test_dispatch_symbolic_meta_inplace_all_strides_special_ndtr_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8539238Z   test_dispatch_symbolic_meta_inplace_all_strides_special_ndtri_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8539466Z   test_dispatch_symbolic_meta_inplace_all_strides_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8539685Z   test_dispatch_symbolic_meta_inplace_all_strides_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8539902Z   test_dispatch_symbolic_meta_inplace_all_strides_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8540307Z   test_dispatch_symbolic_meta_inplace_all_strides_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.8540708Z   test_dispatch_symbolic_meta_inplace_all_strides_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.8541106Z   test_dispatch_symbolic_meta_inplace_all_strides_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.8541505Z   test_dispatch_symbolic_meta_inplace_all_strides_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.8541710Z   test_dispatch_symbolic_meta_inplace_all_strides_special_spherical_bessel_j0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8541917Z   test_dispatch_symbolic_meta_inplace_all_strides_special_xlog1py_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8542120Z   test_dispatch_symbolic_meta_inplace_all_strides_special_zeta_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8542313Z   test_dispatch_symbolic_meta_inplace_all_strides_split_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8542514Z   test_dispatch_symbolic_meta_inplace_all_strides_split_list_args_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8542714Z   test_dispatch_symbolic_meta_inplace_all_strides_split_with_sizes_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8542901Z   test_dispatch_symbolic_meta_inplace_all_strides_sqrt_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8543097Z   test_dispatch_symbolic_meta_inplace_all_strides_square_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8543292Z   test_dispatch_symbolic_meta_inplace_all_strides_squeeze_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8543480Z   test_dispatch_symbolic_meta_inplace_all_strides_stack_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8543657Z   test_dispatch_symbolic_meta_inplace_all_strides_std_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8544035Z   test_dispatch_symbolic_meta_inplace_all_strides_stft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8544225Z   test_dispatch_symbolic_meta_inplace_all_strides_sub_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8544528Z   test_dispatch_symbolic_meta_inplace_all_strides_sum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8544945Z   test_dispatch_symbolic_meta_inplace_all_strides_svd_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8546098Z   test_dispatch_symbolic_meta_inplace_all_strides_tan_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8546290Z   test_dispatch_symbolic_meta_inplace_all_strides_tanh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8546489Z   test_dispatch_symbolic_meta_inplace_all_strides_tensor_split_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8546689Z   test_dispatch_symbolic_meta_inplace_all_strides_tensordot_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8546880Z   test_dispatch_symbolic_meta_inplace_all_strides_tile_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8547067Z   test_dispatch_symbolic_meta_inplace_all_strides_to_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8547454Z   test_dispatch_symbolic_meta_inplace_all_strides_topk_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8547631Z   test_dispatch_symbolic_meta_inplace_all_strides_trace_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8547828Z   test_dispatch_symbolic_meta_inplace_all_strides_transpose_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8548021Z   test_dispatch_symbolic_meta_inplace_all_strides_trapezoid_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8548214Z   test_dispatch_symbolic_meta_inplace_all_strides_trapz_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8548419Z   test_dispatch_symbolic_meta_inplace_all_strides_triangular_solve_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8548604Z   test_dispatch_symbolic_meta_inplace_all_strides_tril_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8549411Z   test_dispatch_symbolic_meta_inplace_all_strides_true_divide_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8549809Z   test_dispatch_symbolic_meta_inplace_all_strides_unbind_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8550200Z   test_dispatch_symbolic_meta_inplace_all_strides_unfold_copy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8550390Z   test_dispatch_symbolic_meta_inplace_all_strides_unfold_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8550585Z   test_dispatch_symbolic_meta_inplace_all_strides_uniform_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8550791Z   test_dispatch_symbolic_meta_inplace_all_strides_unique_consecutive_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8551180Z   test_dispatch_symbolic_meta_inplace_all_strides_unsqueeze_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8551560Z   test_dispatch_symbolic_meta_inplace_all_strides_var_mean_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8551735Z   test_dispatch_symbolic_meta_inplace_all_strides_vdot_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8551936Z   test_dispatch_symbolic_meta_inplace_all_strides_view_as_complex_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8552129Z   test_dispatch_symbolic_meta_inplace_all_strides_view_as_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8552326Z   test_dispatch_symbolic_meta_inplace_all_strides_view_as_real_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8552709Z   test_dispatch_symbolic_meta_inplace_all_strides_view_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8552899Z   test_dispatch_symbolic_meta_inplace_all_strides_vsplit_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8553093Z   test_dispatch_symbolic_meta_inplace_all_strides_vstack_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8553283Z   test_dispatch_symbolic_meta_inplace_all_strides_where_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8553474Z   test_dispatch_symbolic_meta_inplace_all_strides_xlogy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8553651Z   test_dispatch_symbolic_meta_inplace_all_strides_zero__cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8553842Z   test_dispatch_symbolic_meta_inplace_all_strides_zeros_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8554037Z   test_dispatch_symbolic_meta_inplace_all_strides_zeros_like_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8554219Z   test_dispatch_symbolic_meta_inplace_allclose_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8560591Z   test_dispatch_symbolic_meta_inplace_angle_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8598200Z   test_dispatch_symbolic_meta_inplace_atleast_2d_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8598915Z   test_dispatch_symbolic_meta_inplace_atleast_2d_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8599103Z   test_dispatch_symbolic_meta_inplace_atleast_3d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8599282Z   test_dispatch_symbolic_meta_inplace_atleast_3d_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8599472Z   test_dispatch_symbolic_meta_inplace_atleast_3d_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8599660Z   test_dispatch_symbolic_meta_inplace_atleast_3d_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8599849Z   test_dispatch_symbolic_meta_inplace_atleast_3d_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8600017Z   test_dispatch_symbolic_meta_inplace_atleast_3d_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8600201Z   test_dispatch_symbolic_meta_inplace_atleast_3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8600383Z   test_dispatch_symbolic_meta_inplace_atleast_3d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8600566Z   test_dispatch_symbolic_meta_inplace_atleast_3d_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8600748Z   test_dispatch_symbolic_meta_inplace_atleast_3d_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8600928Z   test_dispatch_symbolic_meta_inplace_atleast_3d_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8601168Z   test_dispatch_symbolic_meta_inplace_atleast_3d_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8601348Z   test_dispatch_symbolic_meta_inplace_atleast_3d_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8601565Z   test_dispatch_symbolic_meta_inplace_baddbmm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8601754Z   test_dispatch_symbolic_meta_inplace_baddbmm_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8601929Z   test_dispatch_symbolic_meta_inplace_baddbmm_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8602112Z   test_dispatch_symbolic_meta_inplace_baddbmm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8602291Z   test_dispatch_symbolic_meta_inplace_baddbmm_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8602474Z   test_dispatch_symbolic_meta_inplace_baddbmm_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8603007Z   test_dispatch_symbolic_meta_inplace_baddbmm_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8603179Z   test_dispatch_symbolic_meta_inplace_baddbmm_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8603367Z   test_dispatch_symbolic_meta_inplace_bernoulli_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8603554Z   test_dispatch_symbolic_meta_inplace_bernoulli_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8603914Z   test_dispatch_symbolic_meta_inplace_bfloat16_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8604091Z   test_dispatch_symbolic_meta_inplace_bfloat16_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8604276Z   test_dispatch_symbolic_meta_inplace_bfloat16_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8604461Z   test_dispatch_symbolic_meta_inplace_bfloat16_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8604642Z   test_dispatch_symbolic_meta_inplace_bfloat16_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8604821Z   test_dispatch_symbolic_meta_inplace_bfloat16_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8605352Z   test_dispatch_symbolic_meta_inplace_bfloat16_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8605525Z   test_dispatch_symbolic_meta_inplace_bfloat16_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8605694Z   test_dispatch_symbolic_meta_inplace_bfloat16_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8605871Z   test_dispatch_symbolic_meta_inplace_bfloat16_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8606040Z   test_dispatch_symbolic_meta_inplace_bfloat16_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8606248Z   test_dispatch_symbolic_meta_inplace_bincount_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8606453Z   test_dispatch_symbolic_meta_inplace_bincount_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8606967Z   test_dispatch_symbolic_meta_inplace_bincount_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8607136Z   test_dispatch_symbolic_meta_inplace_bitwise_and_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8607317Z   test_dispatch_symbolic_meta_inplace_bitwise_and_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8607500Z   test_dispatch_symbolic_meta_inplace_bitwise_and_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8607683Z   test_dispatch_symbolic_meta_inplace_bitwise_and_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8607863Z   test_dispatch_symbolic_meta_inplace_bitwise_and_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8608043Z   test_dispatch_symbolic_meta_inplace_bitwise_and_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8608232Z   test_dispatch_symbolic_meta_inplace_bitwise_left_shift_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8608420Z   test_dispatch_symbolic_meta_inplace_bitwise_left_shift_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8608609Z   test_dispatch_symbolic_meta_inplace_bitwise_left_shift_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8608796Z   test_dispatch_symbolic_meta_inplace_bitwise_left_shift_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8608972Z   test_dispatch_symbolic_meta_inplace_bitwise_left_shift_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8609154Z   test_dispatch_symbolic_meta_inplace_bitwise_not_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8609338Z   test_dispatch_symbolic_meta_inplace_bitwise_not_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8609520Z   test_dispatch_symbolic_meta_inplace_bitwise_not_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8609703Z   test_dispatch_symbolic_meta_inplace_bitwise_not_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8609886Z   test_dispatch_symbolic_meta_inplace_bitwise_not_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8610067Z   test_dispatch_symbolic_meta_inplace_bitwise_not_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8610251Z   test_dispatch_symbolic_meta_inplace_bitwise_or_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8610773Z   test_dispatch_symbolic_meta_inplace_bitwise_or_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8611373Z   test_dispatch_symbolic_meta_inplace_bitwise_right_shift_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8611565Z   test_dispatch_symbolic_meta_inplace_bitwise_right_shift_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8611755Z   test_dispatch_symbolic_meta_inplace_bitwise_right_shift_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8611945Z   test_dispatch_symbolic_meta_inplace_bitwise_right_shift_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8612134Z   test_dispatch_symbolic_meta_inplace_bitwise_right_shift_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8612313Z   test_dispatch_symbolic_meta_inplace_bitwise_xor_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8612484Z   test_dispatch_symbolic_meta_inplace_bitwise_xor_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8612664Z   test_dispatch_symbolic_meta_inplace_bitwise_xor_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8612844Z   test_dispatch_symbolic_meta_inplace_bitwise_xor_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8613386Z   test_dispatch_symbolic_meta_inplace_block_diag_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8613568Z   test_dispatch_symbolic_meta_inplace_block_diag_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8613756Z   test_dispatch_symbolic_meta_inplace_block_diag_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8613945Z   test_dispatch_symbolic_meta_inplace_block_diag_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8614303Z   test_dispatch_symbolic_meta_inplace_block_diag_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8614485Z   test_dispatch_symbolic_meta_inplace_block_diag_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8615748Z   test_dispatch_symbolic_meta_inplace_bmm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8615927Z   test_dispatch_symbolic_meta_inplace_bmm_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8616137Z   test_dispatch_symbolic_meta_inplace_bmm_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8616312Z   test_dispatch_symbolic_meta_inplace_bmm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8616686Z   test_dispatch_symbolic_meta_inplace_bmm_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8616859Z   test_dispatch_symbolic_meta_inplace_bmm_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8617559Z   test_dispatch_symbolic_meta_inplace_bool_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8617720Z   test_dispatch_symbolic_meta_inplace_bool_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8619824Z   test_dispatch_symbolic_meta_inplace_broadcast_shapes_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8620017Z   test_dispatch_symbolic_meta_inplace_broadcast_tensors_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8620209Z   test_dispatch_symbolic_meta_inplace_broadcast_tensors_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8763098Z   test_dispatch_symbolic_meta_inplace_fft_fftshift_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8763278Z   test_dispatch_symbolic_meta_inplace_fft_hfft2_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8763453Z   test_dispatch_symbolic_meta_inplace_fft_hfft2_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8763637Z   test_dispatch_symbolic_meta_inplace_fft_hfft2_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8763821Z   test_dispatch_symbolic_meta_inplace_fft_hfft2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8764004Z   test_dispatch_symbolic_meta_inplace_fft_hfft2_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8764186Z   test_dispatch_symbolic_meta_inplace_fft_hfft2_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8764363Z   test_dispatch_symbolic_meta_inplace_fft_hfft2_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8764543Z   test_dispatch_symbolic_meta_inplace_fft_hfft2_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8764720Z   test_dispatch_symbolic_meta_inplace_fft_hfft2_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8764897Z   test_dispatch_symbolic_meta_inplace_fft_hfft2_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8765076Z   test_dispatch_symbolic_meta_inplace_fft_hfft_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8765248Z   test_dispatch_symbolic_meta_inplace_fft_hfft_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8765429Z   test_dispatch_symbolic_meta_inplace_fft_hfft_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8765608Z   test_dispatch_symbolic_meta_inplace_fft_hfft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8765786Z   test_dispatch_symbolic_meta_inplace_fft_hfft_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8765963Z   test_dispatch_symbolic_meta_inplace_fft_hfft_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8766135Z   test_dispatch_symbolic_meta_inplace_fft_hfft_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8766308Z   test_dispatch_symbolic_meta_inplace_fft_hfft_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8766486Z   test_dispatch_symbolic_meta_inplace_fft_hfft_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8766657Z   test_dispatch_symbolic_meta_inplace_fft_hfft_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8766828Z   test_dispatch_symbolic_meta_inplace_fft_hfftn_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8767002Z   test_dispatch_symbolic_meta_inplace_fft_hfftn_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8767186Z   test_dispatch_symbolic_meta_inplace_fft_hfftn_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8767367Z   test_dispatch_symbolic_meta_inplace_fft_hfftn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8767579Z   test_dispatch_symbolic_meta_inplace_fft_hfftn_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8767797Z   test_dispatch_symbolic_meta_inplace_fft_hfftn_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8767977Z   test_dispatch_symbolic_meta_inplace_fft_hfftn_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8768153Z   test_dispatch_symbolic_meta_inplace_fft_hfftn_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8768332Z   test_dispatch_symbolic_meta_inplace_fft_hfftn_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8768510Z   test_dispatch_symbolic_meta_inplace_fft_hfftn_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8768678Z   test_dispatch_symbolic_meta_inplace_fft_ifft2_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8768861Z   test_dispatch_symbolic_meta_inplace_fft_ifft2_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8769045Z   test_dispatch_symbolic_meta_inplace_fft_ifft2_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8769224Z   test_dispatch_symbolic_meta_inplace_fft_ifft2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8769405Z   test_dispatch_symbolic_meta_inplace_fft_ifft2_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8769580Z   test_dispatch_symbolic_meta_inplace_fft_ifft2_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8769755Z   test_dispatch_symbolic_meta_inplace_fft_ifft2_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8769934Z   test_dispatch_symbolic_meta_inplace_fft_ifft2_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8770110Z   test_dispatch_symbolic_meta_inplace_fft_ifft2_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8770289Z   test_dispatch_symbolic_meta_inplace_fft_ifft2_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8770454Z   test_dispatch_symbolic_meta_inplace_fft_ifft_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8770635Z   test_dispatch_symbolic_meta_inplace_fft_ifft_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8770818Z   test_dispatch_symbolic_meta_inplace_fft_ifft_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8770999Z   test_dispatch_symbolic_meta_inplace_fft_ifft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8771182Z   test_dispatch_symbolic_meta_inplace_fft_ifft_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8771888Z   test_dispatch_symbolic_meta_inplace_fft_ifft_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8772219Z   test_dispatch_symbolic_meta_inplace_fft_ifftn_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8772439Z   test_dispatch_symbolic_meta_inplace_fft_ifftn_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8772624Z   test_dispatch_symbolic_meta_inplace_fft_ifftn_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8772829Z   test_dispatch_symbolic_meta_inplace_fft_ifftn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8773012Z   test_dispatch_symbolic_meta_inplace_fft_ifftn_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8773190Z   test_dispatch_symbolic_meta_inplace_fft_ifftn_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8773368Z   test_dispatch_symbolic_meta_inplace_fft_ifftn_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8773545Z   test_dispatch_symbolic_meta_inplace_fft_ifftn_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8773724Z   test_dispatch_symbolic_meta_inplace_fft_ifftn_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8773891Z   test_dispatch_symbolic_meta_inplace_fft_ifftn_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8774078Z   test_dispatch_symbolic_meta_inplace_fft_ifftshift_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8774261Z   test_dispatch_symbolic_meta_inplace_fft_ifftshift_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8774451Z   test_dispatch_symbolic_meta_inplace_fft_ifftshift_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8774638Z   test_dispatch_symbolic_meta_inplace_fft_ifftshift_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8774826Z   test_dispatch_symbolic_meta_inplace_fft_ifftshift_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8775015Z   test_dispatch_symbolic_meta_inplace_fft_ifftshift_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8775204Z   test_dispatch_symbolic_meta_inplace_fft_ifftshift_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8775386Z   test_dispatch_symbolic_meta_inplace_fft_ifftshift_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8775568Z   test_dispatch_symbolic_meta_inplace_fft_ifftshift_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8775738Z   test_dispatch_symbolic_meta_inplace_fft_ifftshift_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8775917Z   test_dispatch_symbolic_meta_inplace_fft_ifftshift_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8776101Z   test_dispatch_symbolic_meta_inplace_fft_ifftshift_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8776285Z   test_dispatch_symbolic_meta_inplace_fft_ifftshift_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8776464Z   test_dispatch_symbolic_meta_inplace_fft_ihfft2_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8776643Z   test_dispatch_symbolic_meta_inplace_fft_ihfft2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8776826Z   test_dispatch_symbolic_meta_inplace_fft_ihfft2_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8777007Z   test_dispatch_symbolic_meta_inplace_fft_ihfft2_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8777187Z   test_dispatch_symbolic_meta_inplace_fft_ihfft2_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8777400Z   test_dispatch_symbolic_meta_inplace_fft_ihfft2_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8777567Z   test_dispatch_symbolic_meta_inplace_fft_ihfft2_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8777772Z   test_dispatch_symbolic_meta_inplace_fft_ihfft2_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8777950Z   test_dispatch_symbolic_meta_inplace_fft_ihfft_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8778131Z   test_dispatch_symbolic_meta_inplace_fft_ihfft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.003s)
2022-11-23T01:33:59.8778312Z   test_dispatch_symbolic_meta_inplace_fft_ihfft_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8778487Z   test_dispatch_symbolic_meta_inplace_fft_ihfft_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8778668Z   test_dispatch_symbolic_meta_inplace_fft_ihfft_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8778845Z   test_dispatch_symbolic_meta_inplace_fft_ihfft_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8779023Z   test_dispatch_symbolic_meta_inplace_fft_ihfft_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8779201Z   test_dispatch_symbolic_meta_inplace_fft_ihfft_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8779366Z   test_dispatch_symbolic_meta_inplace_fft_ihfftn_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8779548Z   test_dispatch_symbolic_meta_inplace_fft_ihfftn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8779730Z   test_dispatch_symbolic_meta_inplace_fft_ihfftn_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8779909Z   test_dispatch_symbolic_meta_inplace_fft_ihfftn_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8780090Z   test_dispatch_symbolic_meta_inplace_fft_ihfftn_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8780271Z   test_dispatch_symbolic_meta_inplace_fft_ihfftn_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8780448Z   test_dispatch_symbolic_meta_inplace_fft_ihfftn_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8780624Z   test_dispatch_symbolic_meta_inplace_fft_ihfftn_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8780803Z   test_dispatch_symbolic_meta_inplace_fft_irfft2_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8780980Z   test_dispatch_symbolic_meta_inplace_fft_irfft2_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8781165Z   test_dispatch_symbolic_meta_inplace_fft_irfft2_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8781348Z   test_dispatch_symbolic_meta_inplace_fft_irfft2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8781527Z   test_dispatch_symbolic_meta_inplace_fft_irfft2_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8781702Z   test_dispatch_symbolic_meta_inplace_fft_irfft2_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8781880Z   test_dispatch_symbolic_meta_inplace_fft_irfft2_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8782057Z   test_dispatch_symbolic_meta_inplace_fft_irfft2_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8782232Z   test_dispatch_symbolic_meta_inplace_fft_irfft2_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8782435Z   test_dispatch_symbolic_meta_inplace_fft_irfft2_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8782638Z   test_dispatch_symbolic_meta_inplace_fft_irfft_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8782993Z   test_dispatch_symbolic_meta_inplace_fft_irfft_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8783173Z   test_dispatch_symbolic_meta_inplace_fft_irfft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8783354Z   test_dispatch_symbolic_meta_inplace_fft_irfft_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8783531Z   test_dispatch_symbolic_meta_inplace_fft_irfft_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8783713Z   test_dispatch_symbolic_meta_inplace_fft_irfft_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8783891Z   test_dispatch_symbolic_meta_inplace_fft_irfft_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8784069Z   test_dispatch_symbolic_meta_inplace_fft_irfft_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8784248Z   test_dispatch_symbolic_meta_inplace_fft_irfft_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8784510Z   test_dispatch_symbolic_meta_inplace_fft_irfftn_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8784687Z   test_dispatch_symbolic_meta_inplace_fft_irfftn_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8784876Z   test_dispatch_symbolic_meta_inplace_fft_irfftn_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8785059Z   test_dispatch_symbolic_meta_inplace_fft_irfftn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8786673Z   test_dispatch_symbolic_meta_inplace_fft_rfft2_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8786850Z   test_dispatch_symbolic_meta_inplace_fft_rfft2_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8787202Z   test_dispatch_symbolic_meta_inplace_fft_rfft2_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8787421Z   test_dispatch_symbolic_meta_inplace_fft_rfft2_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8787597Z   test_dispatch_symbolic_meta_inplace_fft_rfft2_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8787801Z   test_dispatch_symbolic_meta_inplace_fft_rfft_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8788144Z   test_dispatch_symbolic_meta_inplace_fft_rfft_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8788318Z   test_dispatch_symbolic_meta_inplace_fft_rfft_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8788490Z   test_dispatch_symbolic_meta_inplace_fft_rfft_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8788662Z   test_dispatch_symbolic_meta_inplace_fft_rfft_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8788840Z   test_dispatch_symbolic_meta_inplace_fft_rfft_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8789009Z   test_dispatch_symbolic_meta_inplace_fft_rfft_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8789179Z   test_dispatch_symbolic_meta_inplace_fft_rfftn_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8789542Z   test_dispatch_symbolic_meta_inplace_fft_rfftn_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8789720Z   test_dispatch_symbolic_meta_inplace_fft_rfftn_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8790068Z   test_dispatch_symbolic_meta_inplace_fft_rfftn_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8790247Z   test_dispatch_symbolic_meta_inplace_fft_rfftn_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8790427Z   test_dispatch_symbolic_meta_inplace_fft_rfftn_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8790606Z   test_dispatch_symbolic_meta_inplace_fill_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8792935Z   test_dispatch_symbolic_meta_inplace_flatten_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8795244Z   test_dispatch_symbolic_meta_inplace_flip_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8796985Z   test_dispatch_symbolic_meta_inplace_flip_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8797270Z   test_dispatch_symbolic_meta_inplace_flip_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8797546Z   test_dispatch_symbolic_meta_inplace_fliplr_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8797726Z   test_dispatch_symbolic_meta_inplace_fliplr_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8797984Z   test_dispatch_symbolic_meta_inplace_fliplr_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8801850Z   test_dispatch_symbolic_meta_inplace_float_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8880365Z   test_dispatch_symbolic_meta_inplace_jiterator_4inputs_with_extra_args_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8880784Z   test_dispatch_symbolic_meta_inplace_jiterator_4inputs_with_extra_args_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8882020Z   test_dispatch_symbolic_meta_inplace_jiterator_4inputs_with_extra_args_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8882222Z   test_dispatch_symbolic_meta_inplace_jiterator_4inputs_with_extra_args_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8882412Z   test_dispatch_symbolic_meta_inplace_jiterator_4inputs_with_extra_args_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8882612Z   test_dispatch_symbolic_meta_inplace_jiterator_4inputs_with_extra_args_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8882805Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8885544Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_return_by_ref_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8885752Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_return_by_ref_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8885957Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_return_by_ref_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8886157Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8886341Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_return_by_ref_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8886540Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_return_by_ref_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8886934Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_return_by_ref_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8887132Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_return_by_ref_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8887326Z   test_dispatch_symbolic_meta_inplace_jiterator_binary_return_by_ref_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8887517Z   test_dispatch_symbolic_meta_inplace_jiterator_unary_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8889805Z   test_dispatch_symbolic_meta_inplace_kron_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8893351Z   test_dispatch_symbolic_meta_inplace_lcm_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8894213Z   test_dispatch_symbolic_meta_inplace_ldexp_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8906329Z   test_dispatch_symbolic_meta_inplace_linalg_eig_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8909412Z   test_dispatch_symbolic_meta_inplace_linalg_householder_product_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8914786Z   test_dispatch_symbolic_meta_inplace_linalg_lstsq_grad_oriented_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8919999Z   test_dispatch_symbolic_meta_inplace_linalg_matrix_power_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8920774Z   test_dispatch_symbolic_meta_inplace_linalg_matrix_rank_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8920968Z   test_dispatch_symbolic_meta_inplace_linalg_matrix_rank_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8921552Z   test_dispatch_symbolic_meta_inplace_linalg_matrix_rank_hermitian_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8926575Z   test_dispatch_symbolic_meta_inplace_linalg_pinv_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8926765Z   test_dispatch_symbolic_meta_inplace_linalg_pinv_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8927336Z   test_dispatch_symbolic_meta_inplace_linalg_pinv_hermitian_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8927523Z   test_dispatch_symbolic_meta_inplace_linalg_pinv_hermitian_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8927721Z   test_dispatch_symbolic_meta_inplace_linalg_pinv_hermitian_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8927912Z   test_dispatch_symbolic_meta_inplace_linalg_pinv_hermitian_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8928141Z   test_dispatch_symbolic_meta_inplace_linalg_pinv_singular_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8929863Z   test_dispatch_symbolic_meta_inplace_linalg_slogdet_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8930049Z   test_dispatch_symbolic_meta_inplace_linalg_slogdet_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8930233Z   test_dispatch_symbolic_meta_inplace_linalg_slogdet_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8930419Z   test_dispatch_symbolic_meta_inplace_linalg_solve_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8930610Z   test_dispatch_symbolic_meta_inplace_linalg_solve_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8930797Z   test_dispatch_symbolic_meta_inplace_linalg_solve_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8930984Z   test_dispatch_symbolic_meta_inplace_linalg_solve_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8931175Z   test_dispatch_symbolic_meta_inplace_linalg_solve_ex_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8931932Z   test_dispatch_symbolic_meta_inplace_linalg_solve_triangular_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8932715Z   test_dispatch_symbolic_meta_inplace_linalg_svd_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8932900Z   test_dispatch_symbolic_meta_inplace_linalg_svd_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8933704Z   test_dispatch_symbolic_meta_inplace_linalg_svdvals_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8933893Z   test_dispatch_symbolic_meta_inplace_linalg_svdvals_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8934080Z   test_dispatch_symbolic_meta_inplace_linalg_svdvals_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8934274Z   test_dispatch_symbolic_meta_inplace_linalg_tensorinv_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8934468Z   test_dispatch_symbolic_meta_inplace_linalg_tensorinv_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8934661Z   test_dispatch_symbolic_meta_inplace_linalg_tensorinv_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8934851Z   test_dispatch_symbolic_meta_inplace_linalg_tensorinv_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8935048Z   test_dispatch_symbolic_meta_inplace_linalg_tensorsolve_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8935243Z   test_dispatch_symbolic_meta_inplace_linalg_tensorsolve_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8935421Z   test_dispatch_symbolic_meta_inplace_linalg_tensorsolve_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8935612Z   test_dispatch_symbolic_meta_inplace_linalg_tensorsolve_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8935803Z   test_dispatch_symbolic_meta_inplace_linalg_vander_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8935994Z   test_dispatch_symbolic_meta_inplace_linalg_vander_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8936183Z   test_dispatch_symbolic_meta_inplace_linalg_vander_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8936918Z   test_dispatch_symbolic_meta_inplace_linalg_vander_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8937101Z   test_dispatch_symbolic_meta_inplace_linalg_vander_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8937275Z   test_dispatch_symbolic_meta_inplace_linalg_vander_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8937462Z   test_dispatch_symbolic_meta_inplace_linalg_vecdot_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8937653Z   test_dispatch_symbolic_meta_inplace_linalg_vecdot_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.003s)
2022-11-23T01:33:59.8937840Z   test_dispatch_symbolic_meta_inplace_linalg_vecdot_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8938062Z   test_dispatch_symbolic_meta_inplace_linalg_vecdot_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8938247Z   test_dispatch_symbolic_meta_inplace_linalg_vecdot_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8938470Z   test_dispatch_symbolic_meta_inplace_linalg_vector_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8938666Z   test_dispatch_symbolic_meta_inplace_linalg_vector_norm_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8938860Z   test_dispatch_symbolic_meta_inplace_linalg_vector_norm_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8939049Z   test_dispatch_symbolic_meta_inplace_linalg_vector_norm_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8939226Z   test_dispatch_symbolic_meta_inplace_linalg_vector_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8939419Z   test_dispatch_symbolic_meta_inplace_linalg_vector_norm_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8939605Z   test_dispatch_symbolic_meta_inplace_linspace_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8939792Z   test_dispatch_symbolic_meta_inplace_linspace_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.8939980Z   test_dispatch_symbolic_meta_inplace_linspace_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8952168Z   test_dispatch_symbolic_meta_inplace_logaddexp2_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8952726Z   test_dispatch_symbolic_meta_inplace_logaddexp_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8963785Z   test_dispatch_symbolic_meta_inplace_logit_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.8965354Z   test_dispatch_symbolic_meta_inplace_logspace_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9047150Z   test_dispatch_symbolic_meta_inplace_mul_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9051758Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_1_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9051953Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9052141Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_1_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9052332Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_1_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9052518Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_1_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9052689Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_1_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9052880Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_1_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9053072Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_1_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9053265Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9053459Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9053648Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9053865Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9054076Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9054258Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9054444Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9054625Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9054818Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_5_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9055011Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9055203Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_5_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9060663Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_5_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9060890Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_5_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9061083Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_5_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9061276Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_5_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9061478Z   test_dispatch_symbolic_meta_inplace_mvlgamma_mvlgamma_p_5_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9061666Z   test_dispatch_symbolic_meta_inplace_nan_to_num_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9061840Z   test_dispatch_symbolic_meta_inplace_nan_to_num_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9062211Z   test_dispatch_symbolic_meta_inplace_nan_to_num_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9063482Z   test_dispatch_symbolic_meta_inplace_nanmean_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9064292Z   test_dispatch_symbolic_meta_inplace_nanmedian_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9067968Z   test_dispatch_symbolic_meta_inplace_narrow_copy_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9072675Z   test_dispatch_symbolic_meta_inplace_native_batch_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9097122Z   test_dispatch_symbolic_meta_inplace_nn_functional_alpha_dropout_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9097521Z   test_dispatch_symbolic_meta_inplace_nn_functional_alpha_dropout_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9097719Z   test_dispatch_symbolic_meta_inplace_nn_functional_avg_pool1d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9097917Z   test_dispatch_symbolic_meta_inplace_nn_functional_avg_pool1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9098115Z   test_dispatch_symbolic_meta_inplace_nn_functional_avg_pool1d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9098311Z   test_dispatch_symbolic_meta_inplace_nn_functional_avg_pool1d_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9098515Z   test_dispatch_symbolic_meta_inplace_nn_functional_avg_pool2d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9098713Z   test_dispatch_symbolic_meta_inplace_nn_functional_avg_pool2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9098909Z   test_dispatch_symbolic_meta_inplace_nn_functional_avg_pool2d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9099092Z   test_dispatch_symbolic_meta_inplace_nn_functional_avg_pool2d_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9099288Z   test_dispatch_symbolic_meta_inplace_nn_functional_avg_pool3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9099515Z   test_dispatch_symbolic_meta_inplace_nn_functional_avg_pool3d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9099738Z   test_dispatch_symbolic_meta_inplace_nn_functional_avg_pool3d_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9099934Z   test_dispatch_symbolic_meta_inplace_nn_functional_batch_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9100130Z   test_dispatch_symbolic_meta_inplace_nn_functional_batch_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9100323Z   test_dispatch_symbolic_meta_inplace_nn_functional_batch_norm_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9100524Z   test_dispatch_symbolic_meta_inplace_nn_functional_bilinear_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9100720Z   test_dispatch_symbolic_meta_inplace_nn_functional_bilinear_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9100910Z   test_dispatch_symbolic_meta_inplace_nn_functional_bilinear_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9101101Z   test_dispatch_symbolic_meta_inplace_nn_functional_bilinear_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9101275Z   test_dispatch_symbolic_meta_inplace_nn_functional_bilinear_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9101460Z   test_dispatch_symbolic_meta_inplace_nn_functional_bilinear_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9101650Z   test_dispatch_symbolic_meta_inplace_nn_functional_bilinear_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9101838Z   test_dispatch_symbolic_meta_inplace_nn_functional_bilinear_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9102045Z   test_dispatch_symbolic_meta_inplace_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9102252Z   test_dispatch_symbolic_meta_inplace_nn_functional_binary_cross_entropy_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9102472Z   test_dispatch_symbolic_meta_inplace_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9102690Z   test_dispatch_symbolic_meta_inplace_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9102908Z   test_dispatch_symbolic_meta_inplace_nn_functional_binary_cross_entropy_with_logits_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9103103Z   test_dispatch_symbolic_meta_inplace_nn_functional_celu_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9103295Z   test_dispatch_symbolic_meta_inplace_nn_functional_celu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9103473Z   test_dispatch_symbolic_meta_inplace_nn_functional_celu_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9103668Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv1d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9103866Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv1d_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9104063Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv1d_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9104283Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.003s)
2022-11-23T01:33:59.9104553Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv1d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9104784Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv1d_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9104980Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv2d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9105177Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv2d_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9105372Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv2d_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9105547Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9105736Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv2d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9105926Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv2d_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9106136Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose1d_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9106346Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose1d_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9106552Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9106757Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose1d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9106963Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose1d_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9107177Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose2d_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9107382Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose2d_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9107571Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9107773Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose2d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9107973Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose2d_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9108182Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose3d_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9108389Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose3d_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9108589Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9108786Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose3d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9108984Z   test_dispatch_symbolic_meta_inplace_nn_functional_conv_transpose3d_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9109194Z   test_dispatch_symbolic_meta_inplace_nn_functional_cosine_embedding_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9109430Z   test_dispatch_symbolic_meta_inplace_nn_functional_cosine_embedding_loss_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9109664Z   test_dispatch_symbolic_meta_inplace_nn_functional_cosine_embedding_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9109858Z   test_dispatch_symbolic_meta_inplace_nn_functional_cosine_embedding_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9110065Z   test_dispatch_symbolic_meta_inplace_nn_functional_cosine_embedding_loss_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9110270Z   test_dispatch_symbolic_meta_inplace_nn_functional_cosine_embedding_loss_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9110476Z   test_dispatch_symbolic_meta_inplace_nn_functional_cosine_embedding_loss_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9110685Z   test_dispatch_symbolic_meta_inplace_nn_functional_cosine_embedding_loss_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9110893Z   test_dispatch_symbolic_meta_inplace_nn_functional_cosine_embedding_loss_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9111098Z   test_dispatch_symbolic_meta_inplace_nn_functional_cosine_similarity_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9111303Z   test_dispatch_symbolic_meta_inplace_nn_functional_cosine_similarity_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9111507Z   test_dispatch_symbolic_meta_inplace_nn_functional_cosine_similarity_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9111710Z   test_dispatch_symbolic_meta_inplace_nn_functional_cross_entropy_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9111910Z   test_dispatch_symbolic_meta_inplace_nn_functional_cross_entropy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9112100Z   test_dispatch_symbolic_meta_inplace_nn_functional_cross_entropy_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9112294Z   test_dispatch_symbolic_meta_inplace_nn_functional_ctc_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9112486Z   test_dispatch_symbolic_meta_inplace_nn_functional_ctc_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9112684Z   test_dispatch_symbolic_meta_inplace_nn_functional_dropout2d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9112880Z   test_dispatch_symbolic_meta_inplace_nn_functional_dropout2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9113081Z   test_dispatch_symbolic_meta_inplace_nn_functional_dropout2d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9113281Z   test_dispatch_symbolic_meta_inplace_nn_functional_dropout3d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9113476Z   test_dispatch_symbolic_meta_inplace_nn_functional_dropout3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9113670Z   test_dispatch_symbolic_meta_inplace_nn_functional_dropout3d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9113868Z   test_dispatch_symbolic_meta_inplace_nn_functional_dropout_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9114061Z   test_dispatch_symbolic_meta_inplace_nn_functional_dropout_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9114277Z   test_dispatch_symbolic_meta_inplace_nn_functional_dropout_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9114523Z   test_dispatch_symbolic_meta_inplace_nn_functional_elu_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9114715Z   test_dispatch_symbolic_meta_inplace_nn_functional_elu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9114904Z   test_dispatch_symbolic_meta_inplace_nn_functional_elu_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9115109Z   test_dispatch_symbolic_meta_inplace_nn_functional_embedding_bag_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9115313Z   test_dispatch_symbolic_meta_inplace_nn_functional_embedding_bag_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9115517Z   test_dispatch_symbolic_meta_inplace_nn_functional_embedding_bag_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9115723Z   test_dispatch_symbolic_meta_inplace_nn_functional_embedding_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9115921Z   test_dispatch_symbolic_meta_inplace_nn_functional_embedding_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9116120Z   test_dispatch_symbolic_meta_inplace_nn_functional_embedding_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9116304Z   test_dispatch_symbolic_meta_inplace_nn_functional_embedding_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9116528Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_with_train_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9116753Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_with_train_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9116976Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_with_train_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9117361Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9117591Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9117819Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9118046Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9118274Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9118498Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9118721Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9118943Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9119149Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9119420Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9119671Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9119888Z   test_dispatch_symbolic_meta_inplace_nn_functional_feature_alpha_dropout_without_train_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9120097Z   test_dispatch_symbolic_meta_inplace_nn_functional_fractional_max_pool2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9120307Z   test_dispatch_symbolic_meta_inplace_nn_functional_fractional_max_pool2d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9120515Z   test_dispatch_symbolic_meta_inplace_nn_functional_fractional_max_pool3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9120716Z   test_dispatch_symbolic_meta_inplace_nn_functional_fractional_max_pool3d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9120926Z   test_dispatch_symbolic_meta_inplace_nn_functional_gaussian_nll_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9121130Z   test_dispatch_symbolic_meta_inplace_nn_functional_gaussian_nll_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9121334Z   test_dispatch_symbolic_meta_inplace_nn_functional_gaussian_nll_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9121514Z   test_dispatch_symbolic_meta_inplace_nn_functional_gelu_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9121706Z   test_dispatch_symbolic_meta_inplace_nn_functional_gelu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9121899Z   test_dispatch_symbolic_meta_inplace_nn_functional_gelu_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9122095Z   test_dispatch_symbolic_meta_inplace_nn_functional_glu_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9122288Z   test_dispatch_symbolic_meta_inplace_nn_functional_glu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9122480Z   test_dispatch_symbolic_meta_inplace_nn_functional_glu_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9122678Z   test_dispatch_symbolic_meta_inplace_nn_functional_grid_sample_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9122876Z   test_dispatch_symbolic_meta_inplace_nn_functional_grid_sample_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9123080Z   test_dispatch_symbolic_meta_inplace_nn_functional_group_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9123279Z   test_dispatch_symbolic_meta_inplace_nn_functional_group_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9123463Z   test_dispatch_symbolic_meta_inplace_nn_functional_group_norm_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9123661Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardshrink_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9123858Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardshrink_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9124053Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardshrink_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9124282Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardsigmoid_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9124508Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardsigmoid_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9124708Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardsigmoid_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9124904Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardswish_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9125100Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardswish_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9125296Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardswish_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9125495Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardtanh_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9125680Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardtanh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9125873Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardtanh_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9126067Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardtanh_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9126254Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardtanh_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9126438Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardtanh_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9126629Z   test_dispatch_symbolic_meta_inplace_nn_functional_hardtanh_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9126843Z   test_dispatch_symbolic_meta_inplace_nn_functional_hinge_embedding_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9127052Z   test_dispatch_symbolic_meta_inplace_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9127258Z   test_dispatch_symbolic_meta_inplace_nn_functional_hinge_embedding_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9127456Z   test_dispatch_symbolic_meta_inplace_nn_functional_huber_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9127640Z   test_dispatch_symbolic_meta_inplace_nn_functional_huber_loss_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9127836Z   test_dispatch_symbolic_meta_inplace_nn_functional_huber_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9128035Z   test_dispatch_symbolic_meta_inplace_nn_functional_huber_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9128244Z   test_dispatch_symbolic_meta_inplace_nn_functional_instance_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9128444Z   test_dispatch_symbolic_meta_inplace_nn_functional_instance_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9128644Z   test_dispatch_symbolic_meta_inplace_nn_functional_instance_norm_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9128849Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_area_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9129054Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_area_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9129300Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_bicubic_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9129544Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_bicubic_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9129752Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_bicubic_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9129951Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_bilinear_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9130159Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_bilinear_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9130367Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_bilinear_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9130576Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_linear_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:33:59.9130787Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_linear_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9130992Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_linear_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9131199Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_nearest_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9131405Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_nearest_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9131612Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_nearest_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9131821Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_nearest_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9132035Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_trilinear_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9132232Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_trilinear_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9132434Z   test_dispatch_symbolic_meta_inplace_nn_functional_interpolate_trilinear_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9132628Z   test_dispatch_symbolic_meta_inplace_nn_functional_kl_div_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9132816Z   test_dispatch_symbolic_meta_inplace_nn_functional_kl_div_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9133007Z   test_dispatch_symbolic_meta_inplace_nn_functional_kl_div_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9133203Z   test_dispatch_symbolic_meta_inplace_nn_functional_l1_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9133400Z   test_dispatch_symbolic_meta_inplace_nn_functional_l1_loss_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9133597Z   test_dispatch_symbolic_meta_inplace_nn_functional_l1_loss_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9133792Z   test_dispatch_symbolic_meta_inplace_nn_functional_l1_loss_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9133983Z   test_dispatch_symbolic_meta_inplace_nn_functional_l1_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9134184Z   test_dispatch_symbolic_meta_inplace_nn_functional_l1_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9134408Z   test_dispatch_symbolic_meta_inplace_nn_functional_layer_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9134604Z   test_dispatch_symbolic_meta_inplace_nn_functional_layer_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9134799Z   test_dispatch_symbolic_meta_inplace_nn_functional_layer_norm_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9134997Z   test_dispatch_symbolic_meta_inplace_nn_functional_leaky_relu_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9135194Z   test_dispatch_symbolic_meta_inplace_nn_functional_leaky_relu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9135392Z   test_dispatch_symbolic_meta_inplace_nn_functional_leaky_relu_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9135593Z   test_dispatch_symbolic_meta_inplace_nn_functional_linear_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9135789Z   test_dispatch_symbolic_meta_inplace_nn_functional_linear_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9135986Z   test_dispatch_symbolic_meta_inplace_nn_functional_linear_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9136179Z   test_dispatch_symbolic_meta_inplace_nn_functional_linear_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9136354Z   test_dispatch_symbolic_meta_inplace_nn_functional_linear_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9136546Z   test_dispatch_symbolic_meta_inplace_nn_functional_linear_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9136737Z   test_dispatch_symbolic_meta_inplace_nn_functional_linear_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9136929Z   test_dispatch_symbolic_meta_inplace_nn_functional_linear_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9137120Z   test_dispatch_symbolic_meta_inplace_nn_functional_linear_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9137308Z   test_dispatch_symbolic_meta_inplace_nn_functional_linear_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9137517Z   test_dispatch_symbolic_meta_inplace_nn_functional_local_response_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9137725Z   test_dispatch_symbolic_meta_inplace_nn_functional_local_response_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9137933Z   test_dispatch_symbolic_meta_inplace_nn_functional_local_response_norm_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9138140Z   test_dispatch_symbolic_meta_inplace_nn_functional_local_response_norm_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9138328Z   test_dispatch_symbolic_meta_inplace_nn_functional_logsigmoid_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9138528Z   test_dispatch_symbolic_meta_inplace_nn_functional_logsigmoid_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9138725Z   test_dispatch_symbolic_meta_inplace_nn_functional_logsigmoid_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9138931Z   test_dispatch_symbolic_meta_inplace_nn_functional_margin_ranking_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9139184Z   test_dispatch_symbolic_meta_inplace_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9139417Z   test_dispatch_symbolic_meta_inplace_nn_functional_margin_ranking_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9139622Z   test_dispatch_symbolic_meta_inplace_nn_functional_margin_ranking_loss_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9139825Z   test_dispatch_symbolic_meta_inplace_nn_functional_margin_ranking_loss_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9140029Z   test_dispatch_symbolic_meta_inplace_nn_functional_margin_ranking_loss_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9140231Z   test_dispatch_symbolic_meta_inplace_nn_functional_margin_ranking_loss_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9140433Z   test_dispatch_symbolic_meta_inplace_nn_functional_margin_ranking_loss_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9140622Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_pool1d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9140819Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_pool1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9141014Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_pool1d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9141213Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_pool2d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9141411Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_pool2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9141608Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_pool2d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9141807Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_pool3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9142009Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_pool3d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9142210Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9142409Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool1d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9142601Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool1d_grad_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9142806Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool1d_grad_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9143004Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9143202Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool2d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9143405Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool2d_grad_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9143608Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool2d_grad_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9143805Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9144030Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool3d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9144257Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool3d_grad_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9144530Z   test_dispatch_symbolic_meta_inplace_nn_functional_max_unpool3d_grad_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9144728Z   test_dispatch_symbolic_meta_inplace_nn_functional_mish_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9144904Z   test_dispatch_symbolic_meta_inplace_nn_functional_mish_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9145096Z   test_dispatch_symbolic_meta_inplace_nn_functional_mish_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9145296Z   test_dispatch_symbolic_meta_inplace_nn_functional_mse_loss_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9145488Z   test_dispatch_symbolic_meta_inplace_nn_functional_mse_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9145677Z   test_dispatch_symbolic_meta_inplace_nn_functional_mse_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9145881Z   test_dispatch_symbolic_meta_inplace_nn_functional_multi_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9146084Z   test_dispatch_symbolic_meta_inplace_nn_functional_multi_margin_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9146297Z   test_dispatch_symbolic_meta_inplace_nn_functional_multilabel_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9146506Z   test_dispatch_symbolic_meta_inplace_nn_functional_multilabel_margin_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9146725Z   test_dispatch_symbolic_meta_inplace_nn_functional_multilabel_soft_margin_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9146943Z   test_dispatch_symbolic_meta_inplace_nn_functional_multilabel_soft_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9147147Z   test_dispatch_symbolic_meta_inplace_nn_functional_multilabel_soft_margin_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9147346Z   test_dispatch_symbolic_meta_inplace_nn_functional_nll_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9147541Z   test_dispatch_symbolic_meta_inplace_nn_functional_nll_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9147735Z   test_dispatch_symbolic_meta_inplace_nn_functional_nll_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9147936Z   test_dispatch_symbolic_meta_inplace_nn_functional_normalize_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9148137Z   test_dispatch_symbolic_meta_inplace_nn_functional_normalize_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9148341Z   test_dispatch_symbolic_meta_inplace_nn_functional_normalize_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9148539Z   test_dispatch_symbolic_meta_inplace_nn_functional_normalize_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9148738Z   test_dispatch_symbolic_meta_inplace_nn_functional_normalize_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9148976Z   test_dispatch_symbolic_meta_inplace_nn_functional_one_hot_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9149164Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_circular_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9149382Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_circular_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9149588Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_circular_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9149792Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_circular_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9149993Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_circular_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9150195Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_circular_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9150397Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_circular_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9150599Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_circular_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9150798Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_circular_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9150996Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_circular_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9151200Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_circular_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9151383Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_circular_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9151591Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9151792Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9151998Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9152200Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9152399Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9152598Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9152798Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9152999Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9153196Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9153379Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9153574Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9153772Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_constant_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9154005Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_reflect_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9154234Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_reflect_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9154433Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_reflect_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9154630Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_reflect_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9154838Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_replicate_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9155043Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_replicate_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9155246Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_replicate_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9155447Z   test_dispatch_symbolic_meta_inplace_nn_functional_pad_replicate_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9155642Z   test_dispatch_symbolic_meta_inplace_nn_functional_pairwise_distance_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9155850Z   test_dispatch_symbolic_meta_inplace_nn_functional_pairwise_distance_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9156059Z   test_dispatch_symbolic_meta_inplace_nn_functional_pairwise_distance_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9156269Z   test_dispatch_symbolic_meta_inplace_nn_functional_pairwise_distance_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9156478Z   test_dispatch_symbolic_meta_inplace_nn_functional_pairwise_distance_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9156684Z   test_dispatch_symbolic_meta_inplace_nn_functional_pairwise_distance_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9156885Z   test_dispatch_symbolic_meta_inplace_nn_functional_pairwise_distance_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9157091Z   test_dispatch_symbolic_meta_inplace_nn_functional_pairwise_distance_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9157484Z   test_dispatch_symbolic_meta_inplace_nn_functional_pairwise_distance_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9157687Z   test_dispatch_symbolic_meta_inplace_nn_functional_pairwise_distance_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9157887Z   test_dispatch_symbolic_meta_inplace_nn_functional_pairwise_distance_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9158068Z   test_dispatch_symbolic_meta_inplace_nn_functional_pdist_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9158258Z   test_dispatch_symbolic_meta_inplace_nn_functional_pdist_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9158462Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_shuffle_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9158660Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_shuffle_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9158867Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_shuffle_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9159129Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_shuffle_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9159364Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_shuffle_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9159567Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_shuffle_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9159765Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_shuffle_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9159964Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_shuffle_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9160150Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_shuffle_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9160353Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_shuffle_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9160552Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_shuffle_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9160752Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_shuffle_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9160958Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_unshuffle_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9161158Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_unshuffle_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9161367Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_unshuffle_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9161576Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_unshuffle_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9161781Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_unshuffle_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9161988Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_unshuffle_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9162187Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_unshuffle_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9162374Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_unshuffle_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9162571Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_unshuffle_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9162769Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_unshuffle_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9162967Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_unshuffle_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9163169Z   test_dispatch_symbolic_meta_inplace_nn_functional_pixel_unshuffle_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9163372Z   test_dispatch_symbolic_meta_inplace_nn_functional_poisson_nll_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9163574Z   test_dispatch_symbolic_meta_inplace_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9163774Z   test_dispatch_symbolic_meta_inplace_nn_functional_poisson_nll_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9163973Z   test_dispatch_symbolic_meta_inplace_nn_functional_poisson_nll_loss_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9164208Z   test_dispatch_symbolic_meta_inplace_nn_functional_poisson_nll_loss_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9164431Z   test_dispatch_symbolic_meta_inplace_nn_functional_poisson_nll_loss_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9164616Z   test_dispatch_symbolic_meta_inplace_nn_functional_poisson_nll_loss_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9164811Z   test_dispatch_symbolic_meta_inplace_nn_functional_poisson_nll_loss_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9165006Z   test_dispatch_symbolic_meta_inplace_nn_functional_prelu_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9165196Z   test_dispatch_symbolic_meta_inplace_nn_functional_prelu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9165387Z   test_dispatch_symbolic_meta_inplace_nn_functional_prelu_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9165580Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu6_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9165765Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu6_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9165949Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu6_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9166137Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu6_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9166325Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu6_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9166506Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu6_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9166696Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu6_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9166883Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu6_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9167074Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9167265Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9167456Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9167645Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9167832Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9168020Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9168208Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9168381Z   test_dispatch_symbolic_meta_inplace_nn_functional_relu_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9168573Z   test_dispatch_symbolic_meta_inplace_nn_functional_rrelu_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9168762Z   test_dispatch_symbolic_meta_inplace_nn_functional_rrelu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9168973Z   test_dispatch_symbolic_meta_inplace_nn_functional_rrelu_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9169184Z   test_dispatch_symbolic_meta_inplace_nn_functional_selu_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9169371Z   test_dispatch_symbolic_meta_inplace_nn_functional_selu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9169560Z   test_dispatch_symbolic_meta_inplace_nn_functional_selu_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9169762Z   test_dispatch_symbolic_meta_inplace_nn_functional_silu_complex_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9169963Z   test_dispatch_symbolic_meta_inplace_nn_functional_silu_complex_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9170156Z   test_dispatch_symbolic_meta_inplace_nn_functional_silu_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9170333Z   test_dispatch_symbolic_meta_inplace_nn_functional_silu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9170524Z   test_dispatch_symbolic_meta_inplace_nn_functional_silu_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9170725Z   test_dispatch_symbolic_meta_inplace_nn_functional_smooth_l1_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9170922Z   test_dispatch_symbolic_meta_inplace_nn_functional_smooth_l1_loss_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9171118Z   test_dispatch_symbolic_meta_inplace_nn_functional_smooth_l1_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9171312Z   test_dispatch_symbolic_meta_inplace_nn_functional_smooth_l1_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9171517Z   test_dispatch_symbolic_meta_inplace_nn_functional_soft_margin_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9171725Z   test_dispatch_symbolic_meta_inplace_nn_functional_soft_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9171924Z   test_dispatch_symbolic_meta_inplace_nn_functional_soft_margin_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9172118Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9172310Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9172490Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9172698Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_with_dtype_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9172908Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_with_dtype_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9173114Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_with_dtype_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9173319Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_with_dtype_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9173526Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_with_dtype_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9173731Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_with_dtype_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9173959Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_with_dtype_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9174193Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_with_dtype_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9174390Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_with_dtype_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9174591Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_with_dtype_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9174774Z   test_dispatch_symbolic_meta_inplace_nn_functional_softmin_with_dtype_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9174973Z   test_dispatch_symbolic_meta_inplace_nn_functional_softplus_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9175169Z   test_dispatch_symbolic_meta_inplace_nn_functional_softplus_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9175361Z   test_dispatch_symbolic_meta_inplace_nn_functional_softplus_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9175559Z   test_dispatch_symbolic_meta_inplace_nn_functional_softshrink_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9175757Z   test_dispatch_symbolic_meta_inplace_nn_functional_softshrink_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9175954Z   test_dispatch_symbolic_meta_inplace_nn_functional_softshrink_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9176149Z   test_dispatch_symbolic_meta_inplace_nn_functional_softsign_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9176350Z   test_dispatch_symbolic_meta_inplace_nn_functional_softsign_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9176549Z   test_dispatch_symbolic_meta_inplace_nn_functional_softsign_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9176732Z   test_dispatch_symbolic_meta_inplace_nn_functional_softsign_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9176921Z   test_dispatch_symbolic_meta_inplace_nn_functional_softsign_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9177106Z   test_dispatch_symbolic_meta_inplace_nn_functional_softsign_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9177298Z   test_dispatch_symbolic_meta_inplace_nn_functional_softsign_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9177488Z   test_dispatch_symbolic_meta_inplace_nn_functional_softsign_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9177678Z   test_dispatch_symbolic_meta_inplace_nn_functional_softsign_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9177869Z   test_dispatch_symbolic_meta_inplace_nn_functional_softsign_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9178056Z   test_dispatch_symbolic_meta_inplace_nn_functional_softsign_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9178254Z   test_dispatch_symbolic_meta_inplace_nn_functional_tanhshrink_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9178459Z   test_dispatch_symbolic_meta_inplace_nn_functional_tanhshrink_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9178679Z   test_dispatch_symbolic_meta_inplace_nn_functional_tanhshrink_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9178872Z   test_dispatch_symbolic_meta_inplace_nn_functional_tanhshrink_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9179095Z   test_dispatch_symbolic_meta_inplace_nn_functional_tanhshrink_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9179291Z   test_dispatch_symbolic_meta_inplace_nn_functional_tanhshrink_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9179481Z   test_dispatch_symbolic_meta_inplace_nn_functional_tanhshrink_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9179668Z   test_dispatch_symbolic_meta_inplace_nn_functional_tanhshrink_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9179863Z   test_dispatch_symbolic_meta_inplace_nn_functional_tanhshrink_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9180053Z   test_dispatch_symbolic_meta_inplace_nn_functional_tanhshrink_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9180328Z   test_dispatch_symbolic_meta_inplace_nn_functional_threshold_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9180544Z   test_dispatch_symbolic_meta_inplace_nn_functional_threshold_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9180740Z   test_dispatch_symbolic_meta_inplace_nn_functional_threshold_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9180923Z   test_dispatch_symbolic_meta_inplace_nn_functional_threshold_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9181113Z   test_dispatch_symbolic_meta_inplace_nn_functional_threshold_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9181302Z   test_dispatch_symbolic_meta_inplace_nn_functional_threshold_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9181496Z   test_dispatch_symbolic_meta_inplace_nn_functional_threshold_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9181685Z   test_dispatch_symbolic_meta_inplace_nn_functional_threshold_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9181891Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9182100Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_loss_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9182308Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_loss_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9182515Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9182724Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9182916Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_loss_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9183118Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_loss_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9183319Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_loss_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9183523Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_loss_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9183776Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_loss_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9184029Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9184257Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9184557Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9184781Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9185001Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9185225Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9185444Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9185646Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9185865Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9186078Z   test_dispatch_symbolic_meta_inplace_nn_functional_triplet_margin_with_distance_loss_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9186278Z   test_dispatch_symbolic_meta_inplace_nn_functional_unfold_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9186478Z   test_dispatch_symbolic_meta_inplace_nn_functional_unfold_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9186678Z   test_dispatch_symbolic_meta_inplace_nn_functional_unfold_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9186873Z   test_dispatch_symbolic_meta_inplace_nn_functional_unfold_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9187063Z   test_dispatch_symbolic_meta_inplace_nn_functional_unfold_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9187250Z   test_dispatch_symbolic_meta_inplace_nn_functional_unfold_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9187459Z   test_dispatch_symbolic_meta_inplace_nn_functional_upsample_bilinear_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9187666Z   test_dispatch_symbolic_meta_inplace_nn_functional_upsample_bilinear_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9187860Z   test_dispatch_symbolic_meta_inplace_nn_functional_upsample_bilinear_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9188068Z   test_dispatch_symbolic_meta_inplace_nn_functional_upsample_nearest_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9188270Z   test_dispatch_symbolic_meta_inplace_nn_functional_upsample_nearest_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9188473Z   test_dispatch_symbolic_meta_inplace_nn_functional_upsample_nearest_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9188709Z   test_dispatch_symbolic_meta_inplace_nn_functional_upsample_nearest_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9188922Z   test_dispatch_symbolic_meta_inplace_nonzero_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9189103Z   test_dispatch_symbolic_meta_inplace_nonzero_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9189288Z   test_dispatch_symbolic_meta_inplace_nonzero_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9189471Z   test_dispatch_symbolic_meta_inplace_nonzero_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9189655Z   test_dispatch_symbolic_meta_inplace_nonzero_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9189824Z   test_dispatch_symbolic_meta_inplace_nonzero_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9190006Z   test_dispatch_symbolic_meta_inplace_nonzero_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9190187Z   test_dispatch_symbolic_meta_inplace_nonzero_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9190364Z   test_dispatch_symbolic_meta_inplace_nonzero_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9190539Z   test_dispatch_symbolic_meta_inplace_nonzero_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9190708Z   test_dispatch_symbolic_meta_inplace_nonzero_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9190885Z   test_dispatch_symbolic_meta_inplace_nonzero_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9191057Z   test_dispatch_symbolic_meta_inplace_nonzero_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9191232Z   test_dispatch_symbolic_meta_inplace_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9191402Z   test_dispatch_symbolic_meta_inplace_norm_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9191583Z   test_dispatch_symbolic_meta_inplace_norm_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9191758Z   test_dispatch_symbolic_meta_inplace_norm_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9191930Z   test_dispatch_symbolic_meta_inplace_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9192098Z   test_dispatch_symbolic_meta_inplace_norm_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.003s)
2022-11-23T01:33:59.9192281Z   test_dispatch_symbolic_meta_inplace_norm_fro_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9192467Z   test_dispatch_symbolic_meta_inplace_norm_fro_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9192655Z   test_dispatch_symbolic_meta_inplace_norm_fro_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9192834Z   test_dispatch_symbolic_meta_inplace_norm_fro_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9193015Z   test_dispatch_symbolic_meta_inplace_norm_fro_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9228282Z   test_dispatch_symbolic_meta_inplace_rand_like_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9312438Z   test_dispatch_symbolic_meta_inplace_sin_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9312615Z   test_dispatch_symbolic_meta_inplace_sin_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9314936Z   test_dispatch_symbolic_meta_inplace_sinc_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9316345Z   test_dispatch_symbolic_meta_inplace_sinh_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9316518Z   test_dispatch_symbolic_meta_inplace_sinh_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9322697Z   test_dispatch_symbolic_meta_inplace_softmax_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9323252Z   test_dispatch_symbolic_meta_inplace_softmax_with_dtype_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9323440Z   test_dispatch_symbolic_meta_inplace_softmax_with_dtype_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9323638Z   test_dispatch_symbolic_meta_inplace_softmax_with_dtype_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9323837Z   test_dispatch_symbolic_meta_inplace_softmax_with_dtype_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9324030Z   test_dispatch_symbolic_meta_inplace_softmax_with_dtype_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9324222Z   test_dispatch_symbolic_meta_inplace_softmax_with_dtype_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9324412Z   test_dispatch_symbolic_meta_inplace_softmax_with_dtype_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9324588Z   test_dispatch_symbolic_meta_inplace_softmax_with_dtype_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9324777Z   test_dispatch_symbolic_meta_inplace_softmax_with_dtype_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9325006Z   test_dispatch_symbolic_meta_inplace_softmax_with_dtype_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9325193Z   test_dispatch_symbolic_meta_inplace_softmax_with_dtype_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9325409Z   test_dispatch_symbolic_meta_inplace_softmax_with_dtype_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9325589Z   test_dispatch_symbolic_meta_inplace_sort_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9325765Z   test_dispatch_symbolic_meta_inplace_sort_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9327339Z   test_dispatch_symbolic_meta_inplace_sparse_sampled_addmm_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9327541Z   test_dispatch_symbolic_meta_inplace_sparse_sampled_addmm_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9327735Z   test_dispatch_symbolic_meta_inplace_sparse_sampled_addmm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9327929Z   test_dispatch_symbolic_meta_inplace_sparse_sampled_addmm_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9328106Z   test_dispatch_symbolic_meta_inplace_special_airy_ai_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9329599Z   test_dispatch_symbolic_meta_inplace_special_bessel_j0_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9329788Z   test_dispatch_symbolic_meta_inplace_special_bessel_j0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9330005Z   test_dispatch_symbolic_meta_inplace_special_bessel_j0_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9330192Z   test_dispatch_symbolic_meta_inplace_special_bessel_j0_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9330408Z   test_dispatch_symbolic_meta_inplace_special_bessel_j0_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9330592Z   test_dispatch_symbolic_meta_inplace_special_bessel_j0_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9330780Z   test_dispatch_symbolic_meta_inplace_special_bessel_j0_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9330964Z   test_dispatch_symbolic_meta_inplace_special_bessel_j0_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9331150Z   test_dispatch_symbolic_meta_inplace_special_bessel_j1_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9331343Z   test_dispatch_symbolic_meta_inplace_special_bessel_j1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9331534Z   test_dispatch_symbolic_meta_inplace_special_bessel_j1_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9331718Z   test_dispatch_symbolic_meta_inplace_special_bessel_j1_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9331892Z   test_dispatch_symbolic_meta_inplace_special_bessel_j1_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9332078Z   test_dispatch_symbolic_meta_inplace_special_bessel_j1_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9332264Z   test_dispatch_symbolic_meta_inplace_special_bessel_j1_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9332450Z   test_dispatch_symbolic_meta_inplace_special_bessel_j1_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9332635Z   test_dispatch_symbolic_meta_inplace_special_bessel_y0_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9332827Z   test_dispatch_symbolic_meta_inplace_special_bessel_y0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9333014Z   test_dispatch_symbolic_meta_inplace_special_bessel_y0_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9333199Z   test_dispatch_symbolic_meta_inplace_special_bessel_y0_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9333383Z   test_dispatch_symbolic_meta_inplace_special_bessel_y0_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9333566Z   test_dispatch_symbolic_meta_inplace_special_bessel_y0_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9333741Z   test_dispatch_symbolic_meta_inplace_special_bessel_y0_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9334110Z   test_dispatch_symbolic_meta_inplace_special_bessel_y1_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9334298Z   test_dispatch_symbolic_meta_inplace_special_bessel_y1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9334487Z   test_dispatch_symbolic_meta_inplace_special_bessel_y1_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9334670Z   test_dispatch_symbolic_meta_inplace_special_bessel_y1_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9335069Z   test_dispatch_symbolic_meta_inplace_special_bessel_y1_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9335284Z   test_dispatch_symbolic_meta_inplace_special_bessel_y1_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9335468Z   test_dispatch_symbolic_meta_inplace_special_bessel_y1_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9335661Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_t_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9335870Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9336076Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_t_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9336279Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_t_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9336482Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_t_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9336680Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_t_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9336878Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_t_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9337076Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_t_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9337272Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_u_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9337476Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9337681Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_u_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9337866Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_u_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9338064Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_u_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9338257Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_u_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9338453Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_u_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9338648Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_u_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9339142Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_v_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9339515Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9339874Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_v_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9340234Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_v_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9340621Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_v_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9340998Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_v_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9341354Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_v_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9341694Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_v_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9342044Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_w_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9342405Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9342758Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_w_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9343111Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_w_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9343460Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_w_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9343805Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_w_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9344161Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_w_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9344595Z   test_dispatch_symbolic_meta_inplace_special_chebyshev_polynomial_w_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9344787Z   test_dispatch_symbolic_meta_inplace_special_entr_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9346450Z   test_dispatch_symbolic_meta_inplace_special_erfcx_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9347077Z   test_dispatch_symbolic_meta_inplace_special_erfcx_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9347250Z   test_dispatch_symbolic_meta_inplace_special_erfcx_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9347429Z   test_dispatch_symbolic_meta_inplace_special_erfcx_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9347611Z   test_dispatch_symbolic_meta_inplace_special_erfcx_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9347797Z   test_dispatch_symbolic_meta_inplace_special_erfcx_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9347999Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_h_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9348209Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_h_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9348414Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_h_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9348613Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_h_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9348813Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_h_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9349011Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_h_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9349200Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_h_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9349399Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_h_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9349601Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_he_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9349809Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_he_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9350016Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_he_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9350220Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_he_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9350422Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_he_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9350620Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_he_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9350821Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_he_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9351021Z   test_dispatch_symbolic_meta_inplace_special_hermite_polynomial_he_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9351207Z   test_dispatch_symbolic_meta_inplace_special_i0e_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9351815Z   test_dispatch_symbolic_meta_inplace_special_i0e_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9352022Z   test_dispatch_symbolic_meta_inplace_special_i0e_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9352203Z   test_dispatch_symbolic_meta_inplace_special_i0e_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9352386Z   test_dispatch_symbolic_meta_inplace_special_i0e_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9352564Z   test_dispatch_symbolic_meta_inplace_special_i0e_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9352746Z   test_dispatch_symbolic_meta_inplace_special_i0e_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9352928Z   test_dispatch_symbolic_meta_inplace_special_i1_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9354742Z   test_dispatch_symbolic_meta_inplace_special_i1e_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9354911Z   test_dispatch_symbolic_meta_inplace_special_i1e_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9355092Z   test_dispatch_symbolic_meta_inplace_special_i1e_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9355271Z   test_dispatch_symbolic_meta_inplace_special_i1e_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9355833Z   test_dispatch_symbolic_meta_inplace_special_laguerre_polynomial_l_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9356042Z   test_dispatch_symbolic_meta_inplace_special_laguerre_polynomial_l_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.003s)
2022-11-23T01:33:59.9356247Z   test_dispatch_symbolic_meta_inplace_special_laguerre_polynomial_l_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9356449Z   test_dispatch_symbolic_meta_inplace_special_laguerre_polynomial_l_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9356649Z   test_dispatch_symbolic_meta_inplace_special_laguerre_polynomial_l_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9356864Z   test_dispatch_symbolic_meta_inplace_special_laguerre_polynomial_l_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9357089Z   test_dispatch_symbolic_meta_inplace_special_laguerre_polynomial_l_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9357464Z   test_dispatch_symbolic_meta_inplace_special_laguerre_polynomial_l_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9357846Z   test_dispatch_symbolic_meta_inplace_special_legendre_polynomial_p_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9358218Z   test_dispatch_symbolic_meta_inplace_special_legendre_polynomial_p_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9358584Z   test_dispatch_symbolic_meta_inplace_special_legendre_polynomial_p_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9358949Z   test_dispatch_symbolic_meta_inplace_special_legendre_polynomial_p_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
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2022-11-23T01:33:59.9359654Z   test_dispatch_symbolic_meta_inplace_special_legendre_polynomial_p_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9360012Z   test_dispatch_symbolic_meta_inplace_special_legendre_polynomial_p_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
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2022-11-23T01:33:59.9361313Z   test_dispatch_symbolic_meta_inplace_special_log_ndtr_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9361497Z   test_dispatch_symbolic_meta_inplace_special_log_ndtr_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9361684Z   test_dispatch_symbolic_meta_inplace_special_log_ndtr_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9361867Z   test_dispatch_symbolic_meta_inplace_special_log_ndtr_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9362066Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_i0_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9365313Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_k0_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9365905Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_k0_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9366102Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_k0_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9366299Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_k0_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9366497Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_k0_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9367074Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_k1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9367465Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_k1_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9367660Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_k1_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9368105Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_k1_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9368301Z   test_dispatch_symbolic_meta_inplace_special_modified_bessel_k1_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9371657Z   test_dispatch_symbolic_meta_inplace_special_polygamma_special_polygamma_n_0_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9372093Z   test_dispatch_symbolic_meta_inplace_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9372527Z   test_dispatch_symbolic_meta_inplace_special_polygamma_special_polygamma_n_0_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9372762Z   test_dispatch_symbolic_meta_inplace_special_polygamma_special_polygamma_n_0_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9372987Z   test_dispatch_symbolic_meta_inplace_special_polygamma_special_polygamma_n_0_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9373408Z   test_dispatch_symbolic_meta_inplace_special_polygamma_special_polygamma_n_0_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9373612Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k0_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9373820Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9374031Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k0_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9374241Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k0_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9374446Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k0_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9374650Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k0_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9374855Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k0_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9375058Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k0_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9375251Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k1_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9375457Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9375662Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k1_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9375863Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k1_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9376065Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k1_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9376269Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k1_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9376472Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k1_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9376676Z   test_dispatch_symbolic_meta_inplace_special_scaled_modified_bessel_k1_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9377067Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_t_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9377454Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9377832Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_t_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9378237Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_t_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9378623Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_t_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9378992Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_t_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9379362Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_t_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9379727Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_t_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9380097Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_u_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9380474Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9380847Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_u_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9381216Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_u_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9381587Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_u_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9381956Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_u_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9382322Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_u_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9382689Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_u_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9383056Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_v_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9383431Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9383793Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_v_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9384161Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_v_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9384613Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_v_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9384983Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_v_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9385403Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_v_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9385800Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_v_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9386166Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_w_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9386540Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9386915Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_w_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9387285Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_w_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9387655Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_w_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
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2022-11-23T01:33:59.9388754Z   test_dispatch_symbolic_meta_inplace_special_shifted_chebyshev_polynomial_w_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9388948Z   test_dispatch_symbolic_meta_inplace_special_spherical_bessel_j0_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9389156Z   test_dispatch_symbolic_meta_inplace_special_spherical_bessel_j0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9389358Z   test_dispatch_symbolic_meta_inplace_special_spherical_bessel_j0_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9389563Z   test_dispatch_symbolic_meta_inplace_special_spherical_bessel_j0_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9389764Z   test_dispatch_symbolic_meta_inplace_special_spherical_bessel_j0_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9445272Z   test_dispatch_symbolic_meta_inplace_transpose_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9451632Z   test_dispatch_symbolic_meta_inplace_triangular_solve_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9452048Z   test_dispatch_symbolic_meta_inplace_triangular_solve_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9452432Z   test_dispatch_symbolic_meta_inplace_tril_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9527871Z   test_dispatch_symbolic_meta_outplace__softmax_backward_data_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9528456Z   test_dispatch_symbolic_meta_outplace_abs_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9545111Z   test_dispatch_symbolic_meta_outplace_addmv_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9556848Z   test_dispatch_symbolic_meta_outplace_all_strides___getitem___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9557047Z   test_dispatch_symbolic_meta_outplace_all_strides___radd___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9557418Z   test_dispatch_symbolic_meta_outplace_all_strides___rand___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9557629Z   test_dispatch_symbolic_meta_outplace_all_strides___rdiv___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9557826Z   test_dispatch_symbolic_meta_outplace_all_strides___rmatmul___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9560075Z   test_dispatch_symbolic_meta_outplace_all_strides_add_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9561428Z   test_dispatch_symbolic_meta_outplace_all_strides_addr_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9561619Z   test_dispatch_symbolic_meta_outplace_all_strides_all_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9561816Z   test_dispatch_symbolic_meta_outplace_all_strides_allclose_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9562007Z   test_dispatch_symbolic_meta_outplace_all_strides_amax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9562197Z   test_dispatch_symbolic_meta_outplace_all_strides_amin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9562388Z   test_dispatch_symbolic_meta_outplace_all_strides_aminmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9562574Z   test_dispatch_symbolic_meta_outplace_all_strides_angle_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9562760Z   test_dispatch_symbolic_meta_outplace_all_strides_any_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9562972Z   test_dispatch_symbolic_meta_outplace_all_strides_arange_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9563159Z   test_dispatch_symbolic_meta_outplace_all_strides_argmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9563371Z   test_dispatch_symbolic_meta_outplace_all_strides_argmin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9563563Z   test_dispatch_symbolic_meta_outplace_all_strides_argsort_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9563754Z   test_dispatch_symbolic_meta_outplace_all_strides_argwhere_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9563948Z   test_dispatch_symbolic_meta_outplace_all_strides_as_strided_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9564154Z   test_dispatch_symbolic_meta_outplace_all_strides_as_strided_scatter_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9564345Z   test_dispatch_symbolic_meta_outplace_all_strides_asin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9564538Z   test_dispatch_symbolic_meta_outplace_all_strides_asinh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9564726Z   test_dispatch_symbolic_meta_outplace_all_strides_atan2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9564915Z   test_dispatch_symbolic_meta_outplace_all_strides_atan_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9565092Z   test_dispatch_symbolic_meta_outplace_all_strides_atanh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9565289Z   test_dispatch_symbolic_meta_outplace_all_strides_atleast_1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9565487Z   test_dispatch_symbolic_meta_outplace_all_strides_atleast_2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9565687Z   test_dispatch_symbolic_meta_outplace_all_strides_atleast_3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9565880Z   test_dispatch_symbolic_meta_outplace_all_strides_baddbmm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9566073Z   test_dispatch_symbolic_meta_outplace_all_strides_bernoulli_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9566265Z   test_dispatch_symbolic_meta_outplace_all_strides_bfloat16_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9566455Z   test_dispatch_symbolic_meta_outplace_all_strides_bincount_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9566648Z   test_dispatch_symbolic_meta_outplace_all_strides_bitwise_and_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9566848Z   test_dispatch_symbolic_meta_outplace_all_strides_bitwise_left_shift_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9567031Z   test_dispatch_symbolic_meta_outplace_all_strides_bitwise_not_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9567221Z   test_dispatch_symbolic_meta_outplace_all_strides_bitwise_or_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9567423Z   test_dispatch_symbolic_meta_outplace_all_strides_bitwise_right_shift_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9567611Z   test_dispatch_symbolic_meta_outplace_all_strides_bitwise_xor_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9567806Z   test_dispatch_symbolic_meta_outplace_all_strides_block_diag_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9568024Z   test_dispatch_symbolic_meta_outplace_all_strides_bmm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9568242Z   test_dispatch_symbolic_meta_outplace_all_strides_bool_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9568446Z   test_dispatch_symbolic_meta_outplace_all_strides_broadcast_shapes_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9568651Z   test_dispatch_symbolic_meta_outplace_all_strides_broadcast_tensors_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9568850Z   test_dispatch_symbolic_meta_outplace_all_strides_broadcast_to_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9569031Z   test_dispatch_symbolic_meta_outplace_all_strides_bucketize_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9569218Z   test_dispatch_symbolic_meta_outplace_all_strides_byte_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9569420Z   test_dispatch_symbolic_meta_outplace_all_strides_cartesian_prod_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9569609Z   test_dispatch_symbolic_meta_outplace_all_strides_cat_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9569798Z   test_dispatch_symbolic_meta_outplace_all_strides_cdist_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9569994Z   test_dispatch_symbolic_meta_outplace_all_strides_cdouble_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9570182Z   test_dispatch_symbolic_meta_outplace_all_strides_ceil_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9570377Z   test_dispatch_symbolic_meta_outplace_all_strides_cfloat_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9570568Z   test_dispatch_symbolic_meta_outplace_all_strides_chalf_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9570758Z   test_dispatch_symbolic_meta_outplace_all_strides_char_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9570949Z   test_dispatch_symbolic_meta_outplace_all_strides_cholesky_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9571139Z   test_dispatch_symbolic_meta_outplace_all_strides_cholesky_inverse_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9571337Z   test_dispatch_symbolic_meta_outplace_all_strides_cholesky_solve_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9571530Z   test_dispatch_symbolic_meta_outplace_all_strides_chunk_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9571720Z   test_dispatch_symbolic_meta_outplace_all_strides_clamp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9571916Z   test_dispatch_symbolic_meta_outplace_all_strides_clamp_max_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9572106Z   test_dispatch_symbolic_meta_outplace_all_strides_clamp_min_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9572294Z   test_dispatch_symbolic_meta_outplace_all_strides_clone_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9572492Z   test_dispatch_symbolic_meta_outplace_all_strides_column_stack_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9572691Z   test_dispatch_symbolic_meta_outplace_all_strides_combinations_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9572915Z   test_dispatch_symbolic_meta_outplace_all_strides_complex_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9573117Z   test_dispatch_symbolic_meta_outplace_all_strides_conj_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9573316Z   test_dispatch_symbolic_meta_outplace_all_strides_conj_physical_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9573517Z   test_dispatch_symbolic_meta_outplace_all_strides_constant_pad_nd_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9573716Z   test_dispatch_symbolic_meta_outplace_all_strides_contiguous_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9573907Z   test_dispatch_symbolic_meta_outplace_all_strides_copysign_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9574098Z   test_dispatch_symbolic_meta_outplace_all_strides_corrcoef_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9574288Z   test_dispatch_symbolic_meta_outplace_all_strides_cos_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9574479Z   test_dispatch_symbolic_meta_outplace_all_strides_cosh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9574678Z   test_dispatch_symbolic_meta_outplace_all_strides_count_nonzero_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9574867Z   test_dispatch_symbolic_meta_outplace_all_strides_cov_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9575043Z   test_dispatch_symbolic_meta_outplace_all_strides_cross_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9575237Z   test_dispatch_symbolic_meta_outplace_all_strides_cummax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9575424Z   test_dispatch_symbolic_meta_outplace_all_strides_cummin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9575619Z   test_dispatch_symbolic_meta_outplace_all_strides_cumprod_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9575806Z   test_dispatch_symbolic_meta_outplace_all_strides_cumsum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9576016Z   test_dispatch_symbolic_meta_outplace_all_strides_cumulative_trapezoid_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9576210Z   test_dispatch_symbolic_meta_outplace_all_strides_deg2rad_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9576400Z   test_dispatch_symbolic_meta_outplace_all_strides_diag_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9576600Z   test_dispatch_symbolic_meta_outplace_all_strides_diag_embed_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9576796Z   test_dispatch_symbolic_meta_outplace_all_strides_diagflat_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9576993Z   test_dispatch_symbolic_meta_outplace_all_strides_diagonal_copy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9577177Z   test_dispatch_symbolic_meta_outplace_all_strides_diagonal_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9577379Z   test_dispatch_symbolic_meta_outplace_all_strides_diagonal_scatter_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9577569Z   test_dispatch_symbolic_meta_outplace_all_strides_diff_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9577790Z   test_dispatch_symbolic_meta_outplace_all_strides_digamma_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9578006Z   test_dispatch_symbolic_meta_outplace_all_strides_dist_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9578210Z   test_dispatch_symbolic_meta_outplace_all_strides_div_floor_rounding_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9578415Z   test_dispatch_symbolic_meta_outplace_all_strides_div_no_rounding_mode_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9578620Z   test_dispatch_symbolic_meta_outplace_all_strides_div_trunc_rounding_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9578806Z   test_dispatch_symbolic_meta_outplace_all_strides_dot_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9578999Z   test_dispatch_symbolic_meta_outplace_all_strides_double_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9579176Z   test_dispatch_symbolic_meta_outplace_all_strides_dsplit_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9579362Z   test_dispatch_symbolic_meta_outplace_all_strides_dstack_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9579545Z   test_dispatch_symbolic_meta_outplace_all_strides_einsum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9579734Z   test_dispatch_symbolic_meta_outplace_all_strides_empty_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9579930Z   test_dispatch_symbolic_meta_outplace_all_strides_empty_like_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9580115Z   test_dispatch_symbolic_meta_outplace_all_strides_eq_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9580306Z   test_dispatch_symbolic_meta_outplace_all_strides_equal_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9580496Z   test_dispatch_symbolic_meta_outplace_all_strides_erf_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9580687Z   test_dispatch_symbolic_meta_outplace_all_strides_erfc_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9580875Z   test_dispatch_symbolic_meta_outplace_all_strides_erfinv_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9581051Z   test_dispatch_symbolic_meta_outplace_all_strides_exp2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9581241Z   test_dispatch_symbolic_meta_outplace_all_strides_exp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9581439Z   test_dispatch_symbolic_meta_outplace_all_strides_expand_as_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9581633Z   test_dispatch_symbolic_meta_outplace_all_strides_expand_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9581821Z   test_dispatch_symbolic_meta_outplace_all_strides_expm1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9582006Z   test_dispatch_symbolic_meta_outplace_all_strides_eye_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9582203Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_fft2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9582398Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_fft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9582633Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_fftn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9582835Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_fftshift_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9583043Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_hfft2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9583239Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_hfft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9583429Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_hfftn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9583616Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_ifft2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9583805Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_ifft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9583994Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_ifftn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9584195Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_ifftshift_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9584463Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_ihfft2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9584662Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_ihfft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9584857Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_ihfftn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9585053Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_irfft2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9585235Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_irfft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9585436Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_irfftn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9585631Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_rfft2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9585826Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_rfft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9586018Z   test_dispatch_symbolic_meta_outplace_all_strides_fft_rfftn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9586210Z   test_dispatch_symbolic_meta_outplace_all_strides_fill_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9586406Z   test_dispatch_symbolic_meta_outplace_all_strides_flatten_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9586596Z   test_dispatch_symbolic_meta_outplace_all_strides_flip_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9586791Z   test_dispatch_symbolic_meta_outplace_all_strides_fliplr_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9586983Z   test_dispatch_symbolic_meta_outplace_all_strides_flipud_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9587160Z   test_dispatch_symbolic_meta_outplace_all_strides_float_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9587362Z   test_dispatch_symbolic_meta_outplace_all_strides_float_power_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9587550Z   test_dispatch_symbolic_meta_outplace_all_strides_floor_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9587783Z   test_dispatch_symbolic_meta_outplace_all_strides_floor_divide_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9588006Z   test_dispatch_symbolic_meta_outplace_all_strides_fmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9588197Z   test_dispatch_symbolic_meta_outplace_all_strides_fmin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9588384Z   test_dispatch_symbolic_meta_outplace_all_strides_fmod_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9588576Z   test_dispatch_symbolic_meta_outplace_all_strides_frac_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9588766Z   test_dispatch_symbolic_meta_outplace_all_strides_frexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9588959Z   test_dispatch_symbolic_meta_outplace_all_strides_full_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9589143Z   test_dispatch_symbolic_meta_outplace_all_strides_full_like_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9589339Z   test_dispatch_symbolic_meta_outplace_all_strides_gather_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9589528Z   test_dispatch_symbolic_meta_outplace_all_strides_gcd_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9589719Z   test_dispatch_symbolic_meta_outplace_all_strides_ge_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9589914Z   test_dispatch_symbolic_meta_outplace_all_strides_geqrf_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9590110Z   test_dispatch_symbolic_meta_outplace_all_strides_gradient_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9590316Z   test_dispatch_symbolic_meta_outplace_all_strides_grid_sampler_2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9590508Z   test_dispatch_symbolic_meta_outplace_all_strides_gt_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9590699Z   test_dispatch_symbolic_meta_outplace_all_strides_half_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9590896Z   test_dispatch_symbolic_meta_outplace_all_strides_heaviside_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9591073Z   test_dispatch_symbolic_meta_outplace_all_strides_histc_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9591267Z   test_dispatch_symbolic_meta_outplace_all_strides_hsplit_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9591458Z   test_dispatch_symbolic_meta_outplace_all_strides_hstack_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9591653Z   test_dispatch_symbolic_meta_outplace_all_strides_hypot_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9591840Z   test_dispatch_symbolic_meta_outplace_all_strides_i0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9592033Z   test_dispatch_symbolic_meta_outplace_all_strides_igamma_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9592227Z   test_dispatch_symbolic_meta_outplace_all_strides_igammac_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9592421Z   test_dispatch_symbolic_meta_outplace_all_strides_imag_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9592646Z   test_dispatch_symbolic_meta_outplace_all_strides_index_add_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9592839Z   test_dispatch_symbolic_meta_outplace_all_strides_index_copy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9593105Z   test_dispatch_symbolic_meta_outplace_all_strides_index_fill_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9593288Z   test_dispatch_symbolic_meta_outplace_all_strides_index_put_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9593486Z   test_dispatch_symbolic_meta_outplace_all_strides_index_reduce_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9593684Z   test_dispatch_symbolic_meta_outplace_all_strides_index_select_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9593874Z   test_dispatch_symbolic_meta_outplace_all_strides_inner_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9594062Z   test_dispatch_symbolic_meta_outplace_all_strides_int_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9594259Z   test_dispatch_symbolic_meta_outplace_all_strides_isclose_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9594453Z   test_dispatch_symbolic_meta_outplace_all_strides_isfinite_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9594642Z   test_dispatch_symbolic_meta_outplace_all_strides_isin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9594835Z   test_dispatch_symbolic_meta_outplace_all_strides_isinf_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9595023Z   test_dispatch_symbolic_meta_outplace_all_strides_isnan_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9595209Z   test_dispatch_symbolic_meta_outplace_all_strides_isneginf_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9595402Z   test_dispatch_symbolic_meta_outplace_all_strides_isposinf_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9595596Z   test_dispatch_symbolic_meta_outplace_all_strides_isreal_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9595790Z   test_dispatch_symbolic_meta_outplace_all_strides_istft_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9596004Z   test_dispatch_symbolic_meta_outplace_all_strides_jiterator_2inputs_2outputs_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9596225Z   test_dispatch_symbolic_meta_outplace_all_strides_jiterator_4inputs_with_extra_args_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9596435Z   test_dispatch_symbolic_meta_outplace_all_strides_jiterator_binary_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9596654Z   test_dispatch_symbolic_meta_outplace_all_strides_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9596856Z   test_dispatch_symbolic_meta_outplace_all_strides_jiterator_unary_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9597045Z   test_dispatch_symbolic_meta_outplace_all_strides_kron_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9597414Z   test_dispatch_symbolic_meta_outplace_all_strides_kthvalue_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9597614Z   test_dispatch_symbolic_meta_outplace_all_strides_lcm_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9597859Z   test_dispatch_symbolic_meta_outplace_all_strides_ldexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9598048Z   test_dispatch_symbolic_meta_outplace_all_strides_le_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9598273Z   test_dispatch_symbolic_meta_outplace_all_strides_lerp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9598468Z   test_dispatch_symbolic_meta_outplace_all_strides_lgamma_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9598670Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_cholesky_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9598876Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_cholesky_ex_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9599074Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_cond_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9599276Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_cross_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9599477Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_det_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9599673Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_det_singular_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9599867Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_eig_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9600069Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_eigh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9600272Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_eigvals_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9600475Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_eigvalsh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9600695Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_householder_product_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.003s)
2022-11-23T01:33:59.9600890Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_inv_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9601086Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_inv_ex_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9601290Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_ldl_factor_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9601494Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_ldl_factor_ex_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9601686Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_ldl_solve_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9601885Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_lstsq_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9602096Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_lstsq_grad_oriented_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9602290Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_lu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9602493Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_lu_factor_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9602696Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_lu_factor_ex_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9602926Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_lu_solve_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9603167Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_matrix_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9603369Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_matrix_power_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9603571Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_matrix_rank_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9603786Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_matrix_rank_hermitian_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9603974Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_multi_dot_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9604175Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9604395Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_norm_subgradients_at_zero_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9604591Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_pinv_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9604796Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_pinv_hermitian_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9605002Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_pinv_singular_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9605194Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_qr_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9605398Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_slogdet_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9605597Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_solve_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9605800Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_solve_ex_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9606013Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_solve_triangular_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9606195Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_svd_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9606395Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_svdvals_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9606600Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_tensorinv_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9606804Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_tensorsolve_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9607002Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_vander_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9607197Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_vecdot_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9607401Z   test_dispatch_symbolic_meta_outplace_all_strides_linalg_vector_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9607595Z   test_dispatch_symbolic_meta_outplace_all_strides_linspace_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9607812Z   test_dispatch_symbolic_meta_outplace_all_strides_log10_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9608027Z   test_dispatch_symbolic_meta_outplace_all_strides_log1p_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9608217Z   test_dispatch_symbolic_meta_outplace_all_strides_log2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9608394Z   test_dispatch_symbolic_meta_outplace_all_strides_log_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9608588Z   test_dispatch_symbolic_meta_outplace_all_strides_log_softmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9608796Z   test_dispatch_symbolic_meta_outplace_all_strides_log_softmax_with_dtype_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9608997Z   test_dispatch_symbolic_meta_outplace_all_strides_logaddexp2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9609196Z   test_dispatch_symbolic_meta_outplace_all_strides_logaddexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9609396Z   test_dispatch_symbolic_meta_outplace_all_strides_logcumsumexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9609591Z   test_dispatch_symbolic_meta_outplace_all_strides_logdet_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9609787Z   test_dispatch_symbolic_meta_outplace_all_strides_logical_and_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9609982Z   test_dispatch_symbolic_meta_outplace_all_strides_logical_not_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9610178Z   test_dispatch_symbolic_meta_outplace_all_strides_logical_or_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9610363Z   test_dispatch_symbolic_meta_outplace_all_strides_logical_xor_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9610553Z   test_dispatch_symbolic_meta_outplace_all_strides_logit_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9610748Z   test_dispatch_symbolic_meta_outplace_all_strides_logspace_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9610940Z   test_dispatch_symbolic_meta_outplace_all_strides_logsumexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9611128Z   test_dispatch_symbolic_meta_outplace_all_strides_long_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9611315Z   test_dispatch_symbolic_meta_outplace_all_strides_lt_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9611504Z   test_dispatch_symbolic_meta_outplace_all_strides_lu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9611699Z   test_dispatch_symbolic_meta_outplace_all_strides_lu_solve_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9611892Z   test_dispatch_symbolic_meta_outplace_all_strides_lu_unpack_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9612076Z   test_dispatch_symbolic_meta_outplace_all_strides_mH_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9612250Z   test_dispatch_symbolic_meta_outplace_all_strides_mT_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9612450Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_amax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9612673Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_amin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9612901Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_argmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9613100Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_argmin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9613304Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_cumprod_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9613500Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_cumsum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9613696Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_fill_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9613903Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_log_softmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9614108Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_logaddexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9614310Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_logsumexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9614494Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_mean_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9614693Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_median_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9614887Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9615092Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_normalize_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9615291Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_prod_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9615489Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_scatter_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9615686Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_select_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9615887Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_softmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9616087Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_softmin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9616283Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_std_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9616465Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_sum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9616660Z   test_dispatch_symbolic_meta_outplace_all_strides_masked_var_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9616853Z   test_dispatch_symbolic_meta_outplace_all_strides_matmul_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9617046Z   test_dispatch_symbolic_meta_outplace_all_strides_matrix_exp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9617239Z   test_dispatch_symbolic_meta_outplace_all_strides_max_binary_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9617457Z   test_dispatch_symbolic_meta_outplace_all_strides_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9617702Z   test_dispatch_symbolic_meta_outplace_all_strides_max_reduction_no_dim_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9617936Z   test_dispatch_symbolic_meta_outplace_all_strides_max_reduction_with_dim_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9618132Z   test_dispatch_symbolic_meta_outplace_all_strides_maximum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9618321Z   test_dispatch_symbolic_meta_outplace_all_strides_mean_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9618514Z   test_dispatch_symbolic_meta_outplace_all_strides_median_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9618709Z   test_dispatch_symbolic_meta_outplace_all_strides_meshgrid_list_of_tensors_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9618921Z   test_dispatch_symbolic_meta_outplace_all_strides_meshgrid_variadic_tensors_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9619116Z   test_dispatch_symbolic_meta_outplace_all_strides_min_binary_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9619321Z   test_dispatch_symbolic_meta_outplace_all_strides_min_reduction_no_dim_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9619526Z   test_dispatch_symbolic_meta_outplace_all_strides_min_reduction_with_dim_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9619717Z   test_dispatch_symbolic_meta_outplace_all_strides_minimum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9619903Z   test_dispatch_symbolic_meta_outplace_all_strides_mm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9620099Z   test_dispatch_symbolic_meta_outplace_all_strides_mode_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9620296Z   test_dispatch_symbolic_meta_outplace_all_strides_movedim_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9620486Z   test_dispatch_symbolic_meta_outplace_all_strides_msort_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9620663Z   test_dispatch_symbolic_meta_outplace_all_strides_mul_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9620859Z   test_dispatch_symbolic_meta_outplace_all_strides_multinomial_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9621045Z   test_dispatch_symbolic_meta_outplace_all_strides_mv_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9621253Z   test_dispatch_symbolic_meta_outplace_all_strides_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9621464Z   test_dispatch_symbolic_meta_outplace_all_strides_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9621670Z   test_dispatch_symbolic_meta_outplace_all_strides_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9621865Z   test_dispatch_symbolic_meta_outplace_all_strides_nan_to_num_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9622060Z   test_dispatch_symbolic_meta_outplace_all_strides_nanmean_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9622253Z   test_dispatch_symbolic_meta_outplace_all_strides_nanmedian_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9622476Z   test_dispatch_symbolic_meta_outplace_all_strides_nanquantile_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9622695Z   test_dispatch_symbolic_meta_outplace_all_strides_nansum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9622879Z   test_dispatch_symbolic_meta_outplace_all_strides_narrow_copy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9623070Z   test_dispatch_symbolic_meta_outplace_all_strides_narrow_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9623272Z   test_dispatch_symbolic_meta_outplace_all_strides_native_batch_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9623480Z   test_dispatch_symbolic_meta_outplace_all_strides_native_dropout_backward_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9623683Z   test_dispatch_symbolic_meta_outplace_all_strides_native_layer_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9623868Z   test_dispatch_symbolic_meta_outplace_all_strides_ne_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9624058Z   test_dispatch_symbolic_meta_outplace_all_strides_neg_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9624250Z   test_dispatch_symbolic_meta_outplace_all_strides_new_empty_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9624532Z   test_dispatch_symbolic_meta_outplace_all_strides_new_empty_strided_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9624731Z   test_dispatch_symbolic_meta_outplace_all_strides_new_full_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9624907Z   test_dispatch_symbolic_meta_outplace_all_strides_new_ones_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9625102Z   test_dispatch_symbolic_meta_outplace_all_strides_new_zeros_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9625294Z   test_dispatch_symbolic_meta_outplace_all_strides_nextafter_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9625525Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional__scaled_dot_product_attention_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9625747Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_adaptive_avg_pool1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9625969Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_adaptive_avg_pool2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9626187Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_adaptive_avg_pool3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9626410Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_adaptive_max_pool1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9626623Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_adaptive_max_pool2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9626838Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_adaptive_max_pool3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9627055Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_alpha_dropout_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9627272Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_avg_pool1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9627498Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_avg_pool2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9627726Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_avg_pool3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9627928Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_batch_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9628134Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_bilinear_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9628351Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:33:59.9628581Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9628789Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_celu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9628997Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_conv1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9629203Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_conv2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9629418Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9629633Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9629837Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9630059Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_cosine_embedding_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9630275Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_cosine_similarity_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9630489Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_cross_entropy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9630695Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_ctc_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9630905Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_dropout2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9631111Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_dropout3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9631318Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_dropout_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9631520Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_elu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9631732Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_embedding_bag_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9631938Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_embedding_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9632158Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_feature_alpha_dropout_with_train_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9632418Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_feature_alpha_dropout_without_train_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9632668Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_fractional_max_pool2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9632889Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_fractional_max_pool3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9633104Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_gaussian_nll_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9633308Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_gelu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9633511Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_glu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9633725Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_grid_sample_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9633939Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_group_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9634147Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_hardshrink_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9634356Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_hardsigmoid_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9634566Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_hardswish_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9634764Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_hardtanh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9634984Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9635193Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_huber_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9635401Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_instance_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9635618Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_interpolate_area_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9635836Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_interpolate_bicubic_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9636060Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_interpolate_bilinear_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9636276Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_interpolate_linear_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9636496Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_interpolate_nearest_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9636713Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_interpolate_trilinear_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9636918Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_kl_div_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9637276Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_l1_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9637589Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_layer_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9637799Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_leaky_relu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9638005Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_linear_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9638222Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_local_response_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9638435Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_logsigmoid_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9638656Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9638869Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_max_pool1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9639073Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_max_pool2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9639276Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_max_pool3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9639486Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_max_unpool1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9639709Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_max_unpool1d_grad_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9639911Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_max_unpool2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9640128Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_max_unpool2d_grad_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9640344Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_max_unpool3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9640562Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_max_unpool3d_grad_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9640768Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_mish_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9640977Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_mse_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9641192Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_multi_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9641416Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_multilabel_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9641643Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_multilabel_soft_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9641851Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_nll_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9642062Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_normalize_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9642287Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_one_hot_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9642528Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_pad_circular_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9642740Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_pad_constant_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9642956Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_pad_reflect_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9643171Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_pad_replicate_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9643393Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_pairwise_distance_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9643603Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_pdist_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9643817Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_pixel_shuffle_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9644034Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_pixel_unshuffle_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9644250Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9644456Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_prelu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9644652Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_relu6_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9644860Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_relu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9645066Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_rrelu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9645270Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_selu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9645476Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_silu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9645687Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_smooth_l1_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9645905Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_soft_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9646118Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_softmin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9646337Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_softmin_with_dtype_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9646546Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_softplus_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9646754Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_softshrink_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9646946Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_softsign_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9647182Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_tanhshrink_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9647420Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_threshold_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9647638Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_triplet_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9647870Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_triplet_margin_with_distance_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9648077Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_unfold_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9648301Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_upsample_bilinear_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9648523Z   test_dispatch_symbolic_meta_outplace_all_strides_nn_functional_upsample_nearest_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9648720Z   test_dispatch_symbolic_meta_outplace_all_strides_nonzero_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9648912Z   test_dispatch_symbolic_meta_outplace_all_strides_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9649110Z   test_dispatch_symbolic_meta_outplace_all_strides_norm_fro_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9649287Z   test_dispatch_symbolic_meta_outplace_all_strides_norm_inf_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9649479Z   test_dispatch_symbolic_meta_outplace_all_strides_norm_nuc_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9649673Z   test_dispatch_symbolic_meta_outplace_all_strides_normal_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9649879Z   test_dispatch_symbolic_meta_outplace_all_strides_normal_number_mean_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9650070Z   test_dispatch_symbolic_meta_outplace_all_strides_ones_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9650264Z   test_dispatch_symbolic_meta_outplace_all_strides_ones_like_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9650455Z   test_dispatch_symbolic_meta_outplace_all_strides_ormqr_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9650648Z   test_dispatch_symbolic_meta_outplace_all_strides_outer_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9650846Z   test_dispatch_symbolic_meta_outplace_all_strides_pca_lowrank_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9651041Z   test_dispatch_symbolic_meta_outplace_all_strides_permute_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9651237Z   test_dispatch_symbolic_meta_outplace_all_strides_pinverse_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9651415Z   test_dispatch_symbolic_meta_outplace_all_strides_polar_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9651628Z   test_dispatch_symbolic_meta_outplace_all_strides_polygamma_polygamma_n_0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9651833Z   test_dispatch_symbolic_meta_outplace_all_strides_polygamma_polygamma_n_1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9652074Z   test_dispatch_symbolic_meta_outplace_all_strides_polygamma_polygamma_n_2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9652304Z   test_dispatch_symbolic_meta_outplace_all_strides_polygamma_polygamma_n_3_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9652502Z   test_dispatch_symbolic_meta_outplace_all_strides_polygamma_polygamma_n_4_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9652692Z   test_dispatch_symbolic_meta_outplace_all_strides_positive_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9652881Z   test_dispatch_symbolic_meta_outplace_all_strides_pow_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9653070Z   test_dispatch_symbolic_meta_outplace_all_strides_prod_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9653260Z   test_dispatch_symbolic_meta_outplace_all_strides_put_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9653439Z   test_dispatch_symbolic_meta_outplace_all_strides_qr_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9653630Z   test_dispatch_symbolic_meta_outplace_all_strides_quantile_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9653824Z   test_dispatch_symbolic_meta_outplace_all_strides_rad2deg_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9654014Z   test_dispatch_symbolic_meta_outplace_all_strides_rand_like_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9654203Z   test_dispatch_symbolic_meta_outplace_all_strides_randint_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9654404Z   test_dispatch_symbolic_meta_outplace_all_strides_randint_like_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9654593Z   test_dispatch_symbolic_meta_outplace_all_strides_randn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9654789Z   test_dispatch_symbolic_meta_outplace_all_strides_randn_like_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9654976Z   test_dispatch_symbolic_meta_outplace_all_strides_ravel_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9655169Z   test_dispatch_symbolic_meta_outplace_all_strides_real_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9655355Z   test_dispatch_symbolic_meta_outplace_all_strides_reciprocal_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9655551Z   test_dispatch_symbolic_meta_outplace_all_strides_remainder_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9655746Z   test_dispatch_symbolic_meta_outplace_all_strides_renorm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9655939Z   test_dispatch_symbolic_meta_outplace_all_strides_repeat_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9656145Z   test_dispatch_symbolic_meta_outplace_all_strides_repeat_interleave_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9656343Z   test_dispatch_symbolic_meta_outplace_all_strides_reshape_as_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9656537Z   test_dispatch_symbolic_meta_outplace_all_strides_reshape_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9656727Z   test_dispatch_symbolic_meta_outplace_all_strides_resize__cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9656951Z   test_dispatch_symbolic_meta_outplace_all_strides_resize_as__cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9657179Z   test_dispatch_symbolic_meta_outplace_all_strides_resolve_conj_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9657377Z   test_dispatch_symbolic_meta_outplace_all_strides_resolve_neg_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9657557Z   test_dispatch_symbolic_meta_outplace_all_strides_roll_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9657744Z   test_dispatch_symbolic_meta_outplace_all_strides_rot90_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9657933Z   test_dispatch_symbolic_meta_outplace_all_strides_round_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9658137Z   test_dispatch_symbolic_meta_outplace_all_strides_round_decimals_0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9658341Z   test_dispatch_symbolic_meta_outplace_all_strides_round_decimals_3_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9658545Z   test_dispatch_symbolic_meta_outplace_all_strides_round_decimals_neg_3_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9658734Z   test_dispatch_symbolic_meta_outplace_all_strides_rsqrt_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9658924Z   test_dispatch_symbolic_meta_outplace_all_strides_rsub_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9659122Z   test_dispatch_symbolic_meta_outplace_all_strides_scalar_tensor_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9659319Z   test_dispatch_symbolic_meta_outplace_all_strides_scatter_add_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9659500Z   test_dispatch_symbolic_meta_outplace_all_strides_scatter_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9659706Z   test_dispatch_symbolic_meta_outplace_all_strides_scatter_reduce_amax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9659911Z   test_dispatch_symbolic_meta_outplace_all_strides_scatter_reduce_amin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9660114Z   test_dispatch_symbolic_meta_outplace_all_strides_scatter_reduce_mean_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9660317Z   test_dispatch_symbolic_meta_outplace_all_strides_scatter_reduce_prod_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9660523Z   test_dispatch_symbolic_meta_outplace_all_strides_scatter_reduce_sum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9660723Z   test_dispatch_symbolic_meta_outplace_all_strides_searchsorted_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9660934Z   test_dispatch_symbolic_meta_outplace_all_strides_segment_reduce_lengths_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9661137Z   test_dispatch_symbolic_meta_outplace_all_strides_segment_reduce_offsets_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9661327Z   test_dispatch_symbolic_meta_outplace_all_strides_select_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9661525Z   test_dispatch_symbolic_meta_outplace_all_strides_select_scatter_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9661703Z   test_dispatch_symbolic_meta_outplace_all_strides_sgn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9661921Z   test_dispatch_symbolic_meta_outplace_all_strides_short_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9662141Z   test_dispatch_symbolic_meta_outplace_all_strides_sigmoid_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9662330Z   test_dispatch_symbolic_meta_outplace_all_strides_sign_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9662537Z   test_dispatch_symbolic_meta_outplace_all_strides_signal_windows_cosine_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9662751Z   test_dispatch_symbolic_meta_outplace_all_strides_signal_windows_exponential_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9662961Z   test_dispatch_symbolic_meta_outplace_all_strides_signal_windows_gaussian_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9663167Z   test_dispatch_symbolic_meta_outplace_all_strides_signal_windows_kaiser_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9663363Z   test_dispatch_symbolic_meta_outplace_all_strides_signbit_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9663548Z   test_dispatch_symbolic_meta_outplace_all_strides_sin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9663729Z   test_dispatch_symbolic_meta_outplace_all_strides_sinc_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9663917Z   test_dispatch_symbolic_meta_outplace_all_strides_sinh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9664108Z   test_dispatch_symbolic_meta_outplace_all_strides_slice_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9664310Z   test_dispatch_symbolic_meta_outplace_all_strides_slice_scatter_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9664572Z   test_dispatch_symbolic_meta_outplace_all_strides_softmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9664778Z   test_dispatch_symbolic_meta_outplace_all_strides_softmax_with_dtype_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9664969Z   test_dispatch_symbolic_meta_outplace_all_strides_sort_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9665180Z   test_dispatch_symbolic_meta_outplace_all_strides_sparse_sampled_addmm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9665384Z   test_dispatch_symbolic_meta_outplace_all_strides_special_airy_ai_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9665591Z   test_dispatch_symbolic_meta_outplace_all_strides_special_bessel_j0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9665797Z   test_dispatch_symbolic_meta_outplace_all_strides_special_bessel_j1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9665984Z   test_dispatch_symbolic_meta_outplace_all_strides_special_bessel_y0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9666184Z   test_dispatch_symbolic_meta_outplace_all_strides_special_bessel_y1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9666404Z   test_dispatch_symbolic_meta_outplace_all_strides_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9666623Z   test_dispatch_symbolic_meta_outplace_all_strides_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9667152Z   test_dispatch_symbolic_meta_outplace_all_strides_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9667570Z   test_dispatch_symbolic_meta_outplace_all_strides_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9667771Z   test_dispatch_symbolic_meta_outplace_all_strides_special_entr_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9667976Z   test_dispatch_symbolic_meta_outplace_all_strides_special_erfcx_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9668195Z   test_dispatch_symbolic_meta_outplace_all_strides_special_hermite_polynomial_h_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9668419Z   test_dispatch_symbolic_meta_outplace_all_strides_special_hermite_polynomial_he_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9668620Z   test_dispatch_symbolic_meta_outplace_all_strides_special_i0e_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9668806Z   test_dispatch_symbolic_meta_outplace_all_strides_special_i1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9669006Z   test_dispatch_symbolic_meta_outplace_all_strides_special_i1e_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9669225Z   test_dispatch_symbolic_meta_outplace_all_strides_special_laguerre_polynomial_l_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9669619Z   test_dispatch_symbolic_meta_outplace_all_strides_special_legendre_polynomial_p_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9669826Z   test_dispatch_symbolic_meta_outplace_all_strides_special_log_ndtr_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9670040Z   test_dispatch_symbolic_meta_outplace_all_strides_special_modified_bessel_i0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9670252Z   test_dispatch_symbolic_meta_outplace_all_strides_special_modified_bessel_i1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9670464Z   test_dispatch_symbolic_meta_outplace_all_strides_special_modified_bessel_k0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9670675Z   test_dispatch_symbolic_meta_outplace_all_strides_special_modified_bessel_k1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9670876Z   test_dispatch_symbolic_meta_outplace_all_strides_special_ndtr_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9671079Z   test_dispatch_symbolic_meta_outplace_all_strides_special_ndtri_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9671311Z   test_dispatch_symbolic_meta_outplace_all_strides_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9671517Z   test_dispatch_symbolic_meta_outplace_all_strides_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9671734Z   test_dispatch_symbolic_meta_outplace_all_strides_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9672134Z   test_dispatch_symbolic_meta_outplace_all_strides_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9672604Z   test_dispatch_symbolic_meta_outplace_all_strides_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9673030Z   test_dispatch_symbolic_meta_outplace_all_strides_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9673429Z   test_dispatch_symbolic_meta_outplace_all_strides_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s)
2022-11-23T01:33:59.9673647Z   test_dispatch_symbolic_meta_outplace_all_strides_special_spherical_bessel_j0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9673853Z   test_dispatch_symbolic_meta_outplace_all_strides_special_xlog1py_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9674056Z   test_dispatch_symbolic_meta_outplace_all_strides_special_zeta_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9674253Z   test_dispatch_symbolic_meta_outplace_all_strides_split_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9674456Z   test_dispatch_symbolic_meta_outplace_all_strides_split_list_args_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9674658Z   test_dispatch_symbolic_meta_outplace_all_strides_split_with_sizes_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.003s)
2022-11-23T01:33:59.9674836Z   test_dispatch_symbolic_meta_outplace_all_strides_sqrt_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9675030Z   test_dispatch_symbolic_meta_outplace_all_strides_square_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9675227Z   test_dispatch_symbolic_meta_outplace_all_strides_squeeze_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9675420Z   test_dispatch_symbolic_meta_outplace_all_strides_stack_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9675612Z   test_dispatch_symbolic_meta_outplace_all_strides_std_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9675810Z   test_dispatch_symbolic_meta_outplace_all_strides_std_mean_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9676001Z   test_dispatch_symbolic_meta_outplace_all_strides_stft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9676188Z   test_dispatch_symbolic_meta_outplace_all_strides_sub_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9676375Z   test_dispatch_symbolic_meta_outplace_all_strides_sum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9676572Z   test_dispatch_symbolic_meta_outplace_all_strides_sum_to_size_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9676747Z   test_dispatch_symbolic_meta_outplace_all_strides_svd_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9676941Z   test_dispatch_symbolic_meta_outplace_all_strides_svd_lowrank_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9677256Z   test_dispatch_symbolic_meta_outplace_all_strides_symeig_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9677496Z   test_dispatch_symbolic_meta_outplace_all_strides_t_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9677700Z   test_dispatch_symbolic_meta_outplace_all_strides_take_along_dim_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9677942Z   test_dispatch_symbolic_meta_outplace_all_strides_take_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9678165Z   test_dispatch_symbolic_meta_outplace_all_strides_tan_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9678361Z   test_dispatch_symbolic_meta_outplace_all_strides_tanh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9678561Z   test_dispatch_symbolic_meta_outplace_all_strides_tensor_split_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9678757Z   test_dispatch_symbolic_meta_outplace_all_strides_tensordot_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9678932Z   test_dispatch_symbolic_meta_outplace_all_strides_tile_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9679122Z   test_dispatch_symbolic_meta_outplace_all_strides_to_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9679318Z   test_dispatch_symbolic_meta_outplace_all_strides_to_sparse_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9679511Z   test_dispatch_symbolic_meta_outplace_all_strides_topk_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9679704Z   test_dispatch_symbolic_meta_outplace_all_strides_trace_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9679901Z   test_dispatch_symbolic_meta_outplace_all_strides_transpose_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9680094Z   test_dispatch_symbolic_meta_outplace_all_strides_trapezoid_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9680287Z   test_dispatch_symbolic_meta_outplace_all_strides_trapz_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9680495Z   test_dispatch_symbolic_meta_outplace_all_strides_triangular_solve_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9680687Z   test_dispatch_symbolic_meta_outplace_all_strides_tril_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9771683Z   test_dispatch_symbolic_meta_outplace_cholesky_solve_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9889758Z   test_dispatch_symbolic_meta_outplace_fft_hfft2_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9896446Z   test_dispatch_symbolic_meta_outplace_fft_ifft2_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9904189Z   test_dispatch_symbolic_meta_outplace_fft_ihfft2_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9905705Z   test_dispatch_symbolic_meta_outplace_fft_ihfft_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9905886Z   test_dispatch_symbolic_meta_outplace_fft_ihfft_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9910860Z   test_dispatch_symbolic_meta_outplace_fft_irfft_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:33:59.9911040Z   test_dispatch_symbolic_meta_outplace_fft_irfft_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9911769Z   test_dispatch_symbolic_meta_outplace_fft_irfftn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:33:59.9913040Z   test_dispatch_symbolic_meta_outplace_fft_rfft2_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0047896Z   test_dispatch_symbolic_meta_outplace_linalg_lstsq_grad_oriented_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0054472Z   test_dispatch_symbolic_meta_outplace_linalg_matrix_rank_hermitian_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0058343Z   test_dispatch_symbolic_meta_outplace_linalg_norm_subgradients_at_zero_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0059582Z   test_dispatch_symbolic_meta_outplace_linalg_pinv_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0126182Z   test_dispatch_symbolic_meta_outplace_masked_log_softmax_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0126762Z   test_dispatch_symbolic_meta_outplace_masked_logaddexp_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0127530Z   test_dispatch_symbolic_meta_outplace_masked_logsumexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0128294Z   test_dispatch_symbolic_meta_outplace_masked_logsumexp_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0128485Z   test_dispatch_symbolic_meta_outplace_masked_logsumexp_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0128675Z   test_dispatch_symbolic_meta_outplace_masked_logsumexp_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0128863Z   test_dispatch_symbolic_meta_outplace_masked_mean_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0186399Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_1_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0187142Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_1_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0187337Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_3_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0187899Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_3_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0188253Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_3_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0188445Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_3_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0188634Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_3_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0188827Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_5_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0189026Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0189219Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_5_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0189413Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_5_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0189604Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_5_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0189790Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_5_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0189980Z   test_dispatch_symbolic_meta_outplace_mvlgamma_mvlgamma_p_5_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0190338Z   test_dispatch_symbolic_meta_outplace_nan_to_num_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0196598Z   test_dispatch_symbolic_meta_outplace_narrow_copy_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0201566Z   test_dispatch_symbolic_meta_outplace_native_batch_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0202360Z   test_dispatch_symbolic_meta_outplace_native_dropout_backward_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0202564Z   test_dispatch_symbolic_meta_outplace_native_dropout_backward_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0202766Z   test_dispatch_symbolic_meta_outplace_native_dropout_backward_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0202967Z   test_dispatch_symbolic_meta_outplace_native_dropout_backward_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0203151Z   test_dispatch_symbolic_meta_outplace_native_dropout_backward_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0203342Z   test_dispatch_symbolic_meta_outplace_native_dropout_backward_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0203532Z   test_dispatch_symbolic_meta_outplace_native_dropout_backward_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0203726Z   test_dispatch_symbolic_meta_outplace_native_dropout_backward_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0203918Z   test_dispatch_symbolic_meta_outplace_native_dropout_backward_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0204109Z   test_dispatch_symbolic_meta_outplace_native_layer_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0231539Z   test_dispatch_symbolic_meta_outplace_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0231958Z   test_dispatch_symbolic_meta_outplace_nn_functional_celu_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0232140Z   test_dispatch_symbolic_meta_outplace_nn_functional_celu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0232330Z   test_dispatch_symbolic_meta_outplace_nn_functional_celu_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0232527Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv1d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0232726Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv1d_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0232927Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv1d_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0233122Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0233316Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv1d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0233511Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv1d_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0233708Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv2d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0233906Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv2d_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0234093Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv2d_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0234287Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0234476Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv2d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0234670Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv2d_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0234880Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose1d_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0235091Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose1d_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0235299Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0235508Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose1d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0235711Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose1d_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0235950Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose2d_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0236200Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose2d_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0236394Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0236600Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose2d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0236803Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose2d_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0237010Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose3d_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0237393Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose3d_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0237608Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0237814Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose3d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0238018Z   test_dispatch_symbolic_meta_outplace_nn_functional_conv_transpose3d_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0238230Z   test_dispatch_symbolic_meta_outplace_nn_functional_cosine_embedding_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0238440Z   test_dispatch_symbolic_meta_outplace_nn_functional_cosine_embedding_loss_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0238657Z   test_dispatch_symbolic_meta_outplace_nn_functional_cosine_embedding_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0238855Z   test_dispatch_symbolic_meta_outplace_nn_functional_cosine_embedding_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0239063Z   test_dispatch_symbolic_meta_outplace_nn_functional_cosine_embedding_loss_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0239271Z   test_dispatch_symbolic_meta_outplace_nn_functional_cosine_embedding_loss_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.003s)
2022-11-23T01:34:00.0239479Z   test_dispatch_symbolic_meta_outplace_nn_functional_cosine_embedding_loss_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0239687Z   test_dispatch_symbolic_meta_outplace_nn_functional_cosine_embedding_loss_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0239898Z   test_dispatch_symbolic_meta_outplace_nn_functional_cosine_embedding_loss_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0240109Z   test_dispatch_symbolic_meta_outplace_nn_functional_cosine_similarity_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0240316Z   test_dispatch_symbolic_meta_outplace_nn_functional_cosine_similarity_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0240522Z   test_dispatch_symbolic_meta_outplace_nn_functional_cosine_similarity_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0240727Z   test_dispatch_symbolic_meta_outplace_nn_functional_cross_entropy_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0240929Z   test_dispatch_symbolic_meta_outplace_nn_functional_cross_entropy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0241165Z   test_dispatch_symbolic_meta_outplace_nn_functional_cross_entropy_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0241394Z   test_dispatch_symbolic_meta_outplace_nn_functional_ctc_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0241593Z   test_dispatch_symbolic_meta_outplace_nn_functional_ctc_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0241794Z   test_dispatch_symbolic_meta_outplace_nn_functional_dropout2d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0241993Z   test_dispatch_symbolic_meta_outplace_nn_functional_dropout2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0242193Z   test_dispatch_symbolic_meta_outplace_nn_functional_dropout2d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0242396Z   test_dispatch_symbolic_meta_outplace_nn_functional_dropout3d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0242597Z   test_dispatch_symbolic_meta_outplace_nn_functional_dropout3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0242791Z   test_dispatch_symbolic_meta_outplace_nn_functional_dropout3d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0242990Z   test_dispatch_symbolic_meta_outplace_nn_functional_dropout_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0243175Z   test_dispatch_symbolic_meta_outplace_nn_functional_dropout_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0243368Z   test_dispatch_symbolic_meta_outplace_nn_functional_dropout_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0243563Z   test_dispatch_symbolic_meta_outplace_nn_functional_elu_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0243755Z   test_dispatch_symbolic_meta_outplace_nn_functional_elu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0243950Z   test_dispatch_symbolic_meta_outplace_nn_functional_elu_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0244154Z   test_dispatch_symbolic_meta_outplace_nn_functional_embedding_bag_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0244357Z   test_dispatch_symbolic_meta_outplace_nn_functional_embedding_bag_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0244557Z   test_dispatch_symbolic_meta_outplace_nn_functional_embedding_bag_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0244758Z   test_dispatch_symbolic_meta_outplace_nn_functional_embedding_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0244960Z   test_dispatch_symbolic_meta_outplace_nn_functional_embedding_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0245158Z   test_dispatch_symbolic_meta_outplace_nn_functional_embedding_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0245344Z   test_dispatch_symbolic_meta_outplace_nn_functional_embedding_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0245567Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_with_train_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0245790Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_with_train_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0246050Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_with_train_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0246302Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0246523Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0246753Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0246979Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0247203Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0247429Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0247657Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0247866Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0248085Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0248306Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0248532Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0248752Z   test_dispatch_symbolic_meta_outplace_nn_functional_feature_alpha_dropout_without_train_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0248965Z   test_dispatch_symbolic_meta_outplace_nn_functional_fractional_max_pool2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0249172Z   test_dispatch_symbolic_meta_outplace_nn_functional_fractional_max_pool2d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0249374Z   test_dispatch_symbolic_meta_outplace_nn_functional_fractional_max_pool3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0249572Z   test_dispatch_symbolic_meta_outplace_nn_functional_fractional_max_pool3d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0249780Z   test_dispatch_symbolic_meta_outplace_nn_functional_gaussian_nll_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0249984Z   test_dispatch_symbolic_meta_outplace_nn_functional_gaussian_nll_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0250190Z   test_dispatch_symbolic_meta_outplace_nn_functional_gaussian_nll_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0250374Z   test_dispatch_symbolic_meta_outplace_nn_functional_gelu_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0250566Z   test_dispatch_symbolic_meta_outplace_nn_functional_gelu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0250754Z   test_dispatch_symbolic_meta_outplace_nn_functional_gelu_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0250968Z   test_dispatch_symbolic_meta_outplace_nn_functional_glu_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0251192Z   test_dispatch_symbolic_meta_outplace_nn_functional_glu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0251384Z   test_dispatch_symbolic_meta_outplace_nn_functional_glu_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0251584Z   test_dispatch_symbolic_meta_outplace_nn_functional_grid_sample_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0251784Z   test_dispatch_symbolic_meta_outplace_nn_functional_grid_sample_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0251983Z   test_dispatch_symbolic_meta_outplace_nn_functional_group_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0252186Z   test_dispatch_symbolic_meta_outplace_nn_functional_group_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0252375Z   test_dispatch_symbolic_meta_outplace_nn_functional_group_norm_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0252574Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardshrink_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0252775Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardshrink_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0252974Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardshrink_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0253177Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardsigmoid_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0253378Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardsigmoid_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0253580Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardsigmoid_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0253781Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardswish_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0253983Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardswish_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0254181Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardswish_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0254378Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardtanh_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0254564Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardtanh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0254764Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardtanh_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0254963Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardtanh_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0255154Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardtanh_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0255341Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardtanh_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0255533Z   test_dispatch_symbolic_meta_outplace_nn_functional_hardtanh_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0255743Z   test_dispatch_symbolic_meta_outplace_nn_functional_hinge_embedding_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0255989Z   test_dispatch_symbolic_meta_outplace_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0256221Z   test_dispatch_symbolic_meta_outplace_nn_functional_hinge_embedding_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0256418Z   test_dispatch_symbolic_meta_outplace_nn_functional_huber_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0256603Z   test_dispatch_symbolic_meta_outplace_nn_functional_huber_loss_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0256803Z   test_dispatch_symbolic_meta_outplace_nn_functional_huber_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0257000Z   test_dispatch_symbolic_meta_outplace_nn_functional_huber_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0257204Z   test_dispatch_symbolic_meta_outplace_nn_functional_instance_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0257408Z   test_dispatch_symbolic_meta_outplace_nn_functional_instance_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0257608Z   test_dispatch_symbolic_meta_outplace_nn_functional_instance_norm_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0257813Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_area_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0258020Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_area_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0258230Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_bicubic_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0258441Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_bicubic_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0258654Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_bicubic_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0258852Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_bilinear_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0259062Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_bilinear_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0259266Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_bilinear_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0259475Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_linear_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0259686Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_linear_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0259896Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_linear_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0260107Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_nearest_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0260315Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_nearest_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0260522Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_nearest_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0260757Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_nearest_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0260971Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_trilinear_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0261197Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_trilinear_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0261403Z   test_dispatch_symbolic_meta_outplace_nn_functional_interpolate_trilinear_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0261595Z   test_dispatch_symbolic_meta_outplace_nn_functional_kl_div_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0261786Z   test_dispatch_symbolic_meta_outplace_nn_functional_kl_div_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0261977Z   test_dispatch_symbolic_meta_outplace_nn_functional_kl_div_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0262171Z   test_dispatch_symbolic_meta_outplace_nn_functional_l1_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0262371Z   test_dispatch_symbolic_meta_outplace_nn_functional_l1_loss_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0262568Z   test_dispatch_symbolic_meta_outplace_nn_functional_l1_loss_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0262761Z   test_dispatch_symbolic_meta_outplace_nn_functional_l1_loss_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0262950Z   test_dispatch_symbolic_meta_outplace_nn_functional_l1_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0263123Z   test_dispatch_symbolic_meta_outplace_nn_functional_l1_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0263322Z   test_dispatch_symbolic_meta_outplace_nn_functional_layer_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0263520Z   test_dispatch_symbolic_meta_outplace_nn_functional_layer_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0263717Z   test_dispatch_symbolic_meta_outplace_nn_functional_layer_norm_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0263915Z   test_dispatch_symbolic_meta_outplace_nn_functional_leaky_relu_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0264115Z   test_dispatch_symbolic_meta_outplace_nn_functional_leaky_relu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0264310Z   test_dispatch_symbolic_meta_outplace_nn_functional_leaky_relu_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0264583Z   test_dispatch_symbolic_meta_outplace_nn_functional_linear_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0264788Z   test_dispatch_symbolic_meta_outplace_nn_functional_linear_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0264986Z   test_dispatch_symbolic_meta_outplace_nn_functional_linear_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0265180Z   test_dispatch_symbolic_meta_outplace_nn_functional_linear_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0265357Z   test_dispatch_symbolic_meta_outplace_nn_functional_linear_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0265550Z   test_dispatch_symbolic_meta_outplace_nn_functional_linear_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0265768Z   test_dispatch_symbolic_meta_outplace_nn_functional_linear_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0265981Z   test_dispatch_symbolic_meta_outplace_nn_functional_linear_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0266172Z   test_dispatch_symbolic_meta_outplace_nn_functional_linear_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0266366Z   test_dispatch_symbolic_meta_outplace_nn_functional_linear_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0266574Z   test_dispatch_symbolic_meta_outplace_nn_functional_local_response_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0266781Z   test_dispatch_symbolic_meta_outplace_nn_functional_local_response_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0266991Z   test_dispatch_symbolic_meta_outplace_nn_functional_local_response_norm_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0267200Z   test_dispatch_symbolic_meta_outplace_nn_functional_local_response_norm_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0267388Z   test_dispatch_symbolic_meta_outplace_nn_functional_logsigmoid_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0267588Z   test_dispatch_symbolic_meta_outplace_nn_functional_logsigmoid_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0267789Z   test_dispatch_symbolic_meta_outplace_nn_functional_logsigmoid_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0267996Z   test_dispatch_symbolic_meta_outplace_nn_functional_margin_ranking_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0268205Z   test_dispatch_symbolic_meta_outplace_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0268413Z   test_dispatch_symbolic_meta_outplace_nn_functional_margin_ranking_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0268618Z   test_dispatch_symbolic_meta_outplace_nn_functional_margin_ranking_loss_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0268821Z   test_dispatch_symbolic_meta_outplace_nn_functional_margin_ranking_loss_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0269027Z   test_dispatch_symbolic_meta_outplace_nn_functional_margin_ranking_loss_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0269233Z   test_dispatch_symbolic_meta_outplace_nn_functional_margin_ranking_loss_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0269438Z   test_dispatch_symbolic_meta_outplace_nn_functional_margin_ranking_loss_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0269628Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_pool1d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0269825Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_pool1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0270024Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_pool1d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0270223Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_pool2d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0270418Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_pool2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0270648Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_pool2d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0270841Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_pool3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0271068Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_pool3d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0271269Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0271467Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool1d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0271673Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool1d_grad_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0271868Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool1d_grad_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0272065Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0272266Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool2d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0272471Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool2d_grad_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0272675Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool2d_grad_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0272869Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0273066Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool3d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0273272Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool3d_grad_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0273479Z   test_dispatch_symbolic_meta_outplace_nn_functional_max_unpool3d_grad_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0273672Z   test_dispatch_symbolic_meta_outplace_nn_functional_mish_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0273850Z   test_dispatch_symbolic_meta_outplace_nn_functional_mish_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0274037Z   test_dispatch_symbolic_meta_outplace_nn_functional_mish_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0274231Z   test_dispatch_symbolic_meta_outplace_nn_functional_mse_loss_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0274430Z   test_dispatch_symbolic_meta_outplace_nn_functional_mse_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0274626Z   test_dispatch_symbolic_meta_outplace_nn_functional_mse_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0274830Z   test_dispatch_symbolic_meta_outplace_nn_functional_multi_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0275033Z   test_dispatch_symbolic_meta_outplace_nn_functional_multi_margin_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0275244Z   test_dispatch_symbolic_meta_outplace_nn_functional_multilabel_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0275451Z   test_dispatch_symbolic_meta_outplace_nn_functional_multilabel_margin_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0275694Z   test_dispatch_symbolic_meta_outplace_nn_functional_multilabel_soft_margin_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0275935Z   test_dispatch_symbolic_meta_outplace_nn_functional_multilabel_soft_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0276138Z   test_dispatch_symbolic_meta_outplace_nn_functional_multilabel_soft_margin_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0276334Z   test_dispatch_symbolic_meta_outplace_nn_functional_nll_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0276528Z   test_dispatch_symbolic_meta_outplace_nn_functional_nll_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0276724Z   test_dispatch_symbolic_meta_outplace_nn_functional_nll_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0276925Z   test_dispatch_symbolic_meta_outplace_nn_functional_normalize_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0277241Z   test_dispatch_symbolic_meta_outplace_nn_functional_normalize_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0277499Z   test_dispatch_symbolic_meta_outplace_nn_functional_normalize_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0277697Z   test_dispatch_symbolic_meta_outplace_nn_functional_normalize_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0277895Z   test_dispatch_symbolic_meta_outplace_nn_functional_normalize_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0278087Z   test_dispatch_symbolic_meta_outplace_nn_functional_one_hot_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0278293Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_circular_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0278480Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_circular_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0278688Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_circular_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0278895Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_circular_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0279098Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_circular_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0279301Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_circular_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0279502Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_circular_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0279704Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_circular_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0279904Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_circular_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0280103Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_circular_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0280305Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_circular_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0280491Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_circular_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0280742Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_constant_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0280971Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_constant_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0281176Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_constant_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0281382Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_constant_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0281585Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_constant_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0281785Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_constant_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0281984Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_constant_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0282185Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_constant_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0282387Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_constant_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0282584Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_constant_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0282770Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_constant_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0282969Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_constant_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0283178Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_reflect_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0283384Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_reflect_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0283587Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_reflect_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0283788Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_reflect_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0283998Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_replicate_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0284207Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_replicate_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0284416Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_replicate_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0284620Z   test_dispatch_symbolic_meta_outplace_nn_functional_pad_replicate_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0284829Z   test_dispatch_symbolic_meta_outplace_nn_functional_pairwise_distance_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0285028Z   test_dispatch_symbolic_meta_outplace_nn_functional_pairwise_distance_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0285235Z   test_dispatch_symbolic_meta_outplace_nn_functional_pairwise_distance_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0285441Z   test_dispatch_symbolic_meta_outplace_nn_functional_pairwise_distance_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0285674Z   test_dispatch_symbolic_meta_outplace_nn_functional_pairwise_distance_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0285908Z   test_dispatch_symbolic_meta_outplace_nn_functional_pairwise_distance_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0286114Z   test_dispatch_symbolic_meta_outplace_nn_functional_pairwise_distance_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0286318Z   test_dispatch_symbolic_meta_outplace_nn_functional_pairwise_distance_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0286517Z   test_dispatch_symbolic_meta_outplace_nn_functional_pairwise_distance_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0286722Z   test_dispatch_symbolic_meta_outplace_nn_functional_pairwise_distance_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0286923Z   test_dispatch_symbolic_meta_outplace_nn_functional_pairwise_distance_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0287107Z   test_dispatch_symbolic_meta_outplace_nn_functional_pdist_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0287297Z   test_dispatch_symbolic_meta_outplace_nn_functional_pdist_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0287500Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0287701Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0287909Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0288114Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0288320Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0288520Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0288718Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0288918Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0289117Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0289301Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0289502Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0289704Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_shuffle_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0289910Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_unshuffle_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0290113Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_unshuffle_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0290323Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_unshuffle_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0290573Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_unshuffle_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0290780Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_unshuffle_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0291012Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_unshuffle_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0291213Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_unshuffle_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0291416Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_unshuffle_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0291605Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_unshuffle_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0291806Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_unshuffle_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0292006Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_unshuffle_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0292206Z   test_dispatch_symbolic_meta_outplace_nn_functional_pixel_unshuffle_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0292413Z   test_dispatch_symbolic_meta_outplace_nn_functional_poisson_nll_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0292617Z   test_dispatch_symbolic_meta_outplace_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0292822Z   test_dispatch_symbolic_meta_outplace_nn_functional_poisson_nll_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0293027Z   test_dispatch_symbolic_meta_outplace_nn_functional_poisson_nll_loss_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0293227Z   test_dispatch_symbolic_meta_outplace_nn_functional_poisson_nll_loss_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0293426Z   test_dispatch_symbolic_meta_outplace_nn_functional_poisson_nll_loss_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0293612Z   test_dispatch_symbolic_meta_outplace_nn_functional_poisson_nll_loss_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0293810Z   test_dispatch_symbolic_meta_outplace_nn_functional_poisson_nll_loss_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0294006Z   test_dispatch_symbolic_meta_outplace_nn_functional_prelu_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0294200Z   test_dispatch_symbolic_meta_outplace_nn_functional_prelu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0294392Z   test_dispatch_symbolic_meta_outplace_nn_functional_prelu_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0294588Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu6_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0294774Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu6_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0294957Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu6_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0295146Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu6_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0295343Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu6_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0295561Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu6_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0295770Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu6_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0295958Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu6_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0296155Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0296349Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0296539Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0296731Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0296921Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0297112Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0297301Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0297488Z   test_dispatch_symbolic_meta_outplace_nn_functional_relu_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0297671Z   test_dispatch_symbolic_meta_outplace_nn_functional_rrelu_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0297862Z   test_dispatch_symbolic_meta_outplace_nn_functional_rrelu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0298051Z   test_dispatch_symbolic_meta_outplace_nn_functional_rrelu_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0298238Z   test_dispatch_symbolic_meta_outplace_nn_functional_selu_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0298427Z   test_dispatch_symbolic_meta_outplace_nn_functional_selu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0298611Z   test_dispatch_symbolic_meta_outplace_nn_functional_selu_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0298814Z   test_dispatch_symbolic_meta_outplace_nn_functional_silu_complex_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0299018Z   test_dispatch_symbolic_meta_outplace_nn_functional_silu_complex_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0299208Z   test_dispatch_symbolic_meta_outplace_nn_functional_silu_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0299395Z   test_dispatch_symbolic_meta_outplace_nn_functional_silu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0299568Z   test_dispatch_symbolic_meta_outplace_nn_functional_silu_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0299765Z   test_dispatch_symbolic_meta_outplace_nn_functional_smooth_l1_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0299963Z   test_dispatch_symbolic_meta_outplace_nn_functional_smooth_l1_loss_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0300161Z   test_dispatch_symbolic_meta_outplace_nn_functional_smooth_l1_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0300412Z   test_dispatch_symbolic_meta_outplace_nn_functional_smooth_l1_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0300650Z   test_dispatch_symbolic_meta_outplace_nn_functional_soft_margin_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0300855Z   test_dispatch_symbolic_meta_outplace_nn_functional_soft_margin_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0301058Z   test_dispatch_symbolic_meta_outplace_nn_functional_soft_margin_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0301255Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0301452Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0301645Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0301840Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_with_dtype_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0302053Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_with_dtype_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0302263Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_with_dtype_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0302491Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_with_dtype_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0302696Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_with_dtype_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0302904Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_with_dtype_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0303111Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_with_dtype_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0303318Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_with_dtype_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0303522Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_with_dtype_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0303726Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_with_dtype_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0303927Z   test_dispatch_symbolic_meta_outplace_nn_functional_softmin_with_dtype_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0304115Z   test_dispatch_symbolic_meta_outplace_nn_functional_softplus_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0304313Z   test_dispatch_symbolic_meta_outplace_nn_functional_softplus_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0304600Z   test_dispatch_symbolic_meta_outplace_nn_functional_softplus_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0305440Z   test_dispatch_symbolic_meta_outplace_nn_functional_softsign_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0313397Z   test_dispatch_symbolic_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0315618Z   test_dispatch_symbolic_meta_outplace_nn_functional_unfold_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0316798Z   test_dispatch_symbolic_meta_outplace_nn_functional_upsample_bilinear_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0317577Z   test_dispatch_symbolic_meta_outplace_nn_functional_upsample_nearest_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0317996Z   test_dispatch_symbolic_meta_outplace_nn_functional_upsample_nearest_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0328776Z   test_dispatch_symbolic_meta_outplace_ones_like_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0331011Z   test_dispatch_symbolic_meta_outplace_ormqr_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0331724Z   test_dispatch_symbolic_meta_outplace_outer_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0331889Z   test_dispatch_symbolic_meta_outplace_outer_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0333819Z   test_dispatch_symbolic_meta_outplace_pca_lowrank_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0334188Z   test_dispatch_symbolic_meta_outplace_permute_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0336561Z   test_dispatch_symbolic_meta_outplace_pinverse_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0337284Z   test_dispatch_symbolic_meta_outplace_polar_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0337658Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_0_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0337859Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_0_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0338059Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0338261Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_0_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0338460Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_0_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0338651Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_0_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0338842Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_0_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0339025Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_0_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0339216Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_0_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0339418Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_1_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0339614Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_1_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0339812Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0340009Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_1_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0340205Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_1_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0340433Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_1_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0340621Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_1_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0340841Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_1_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0341018Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_1_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0341214Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_2_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0341411Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_2_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0341610Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0341809Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_2_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0342009Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_2_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0342201Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_2_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0342390Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_2_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0342585Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_2_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0342775Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_2_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0342962Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_3_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0343159Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_3_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0343358Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_3_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0343557Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_3_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0343753Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_3_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0343942Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_3_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0344130Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_3_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0344328Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_3_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0344600Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_3_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0344804Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_4_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0344997Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_4_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0345181Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_4_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0345416Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_4_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0345610Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_4_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0345832Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_4_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0346018Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_4_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0346212Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_4_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0346401Z   test_dispatch_symbolic_meta_outplace_polygamma_polygamma_n_4_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0346585Z   test_dispatch_symbolic_meta_outplace_positive_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0437088Z   test_dispatch_symbolic_meta_outplace_signal_windows_cosine_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0438067Z   test_dispatch_symbolic_meta_outplace_signal_windows_exponential_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
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2022-11-23T01:34:00.0629267Z   test_dispatch_symbolic_meta_outplace_vstack_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0629471Z   test_dispatch_symbolic_meta_outplace_vstack_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0629648Z   test_dispatch_symbolic_meta_outplace_vstack_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0629819Z   test_dispatch_symbolic_meta_outplace_vstack_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0629998Z   test_dispatch_symbolic_meta_outplace_where_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0630173Z   test_dispatch_symbolic_meta_outplace_where_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0630356Z   test_dispatch_symbolic_meta_outplace_where_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0630527Z   test_dispatch_symbolic_meta_outplace_where_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0630710Z   test_dispatch_symbolic_meta_outplace_where_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0630891Z   test_dispatch_symbolic_meta_outplace_where_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0631065Z   test_dispatch_symbolic_meta_outplace_where_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0631239Z   test_dispatch_symbolic_meta_outplace_where_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0631414Z   test_dispatch_symbolic_meta_outplace_where_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0631590Z   test_dispatch_symbolic_meta_outplace_where_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0631757Z   test_dispatch_symbolic_meta_outplace_where_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0631934Z   test_dispatch_symbolic_meta_outplace_where_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0632103Z   test_dispatch_symbolic_meta_outplace_where_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0632271Z   test_dispatch_symbolic_meta_outplace_xlogy_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0632447Z   test_dispatch_symbolic_meta_outplace_xlogy_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0632625Z   test_dispatch_symbolic_meta_outplace_xlogy_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0632800Z   test_dispatch_symbolic_meta_outplace_xlogy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0632971Z   test_dispatch_symbolic_meta_outplace_xlogy_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0633148Z   test_dispatch_symbolic_meta_outplace_xlogy_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0633321Z   test_dispatch_symbolic_meta_outplace_xlogy_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0633490Z   test_dispatch_symbolic_meta_outplace_xlogy_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0633664Z   test_dispatch_symbolic_meta_outplace_xlogy_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0633821Z   test_dispatch_symbolic_meta_outplace_xlogy_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0634026Z   test_dispatch_symbolic_meta_outplace_zero__cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0634202Z   test_dispatch_symbolic_meta_outplace_zero__cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0634412Z   test_dispatch_symbolic_meta_outplace_zero__cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0634593Z   test_dispatch_symbolic_meta_outplace_zero__cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0634770Z   test_dispatch_symbolic_meta_outplace_zero__cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0634942Z   test_dispatch_symbolic_meta_outplace_zero__cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0635112Z   test_dispatch_symbolic_meta_outplace_zero__cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0635287Z   test_dispatch_symbolic_meta_outplace_zero__cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0635456Z   test_dispatch_symbolic_meta_outplace_zero__cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0635612Z   test_dispatch_symbolic_meta_outplace_zero__cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0635786Z   test_dispatch_symbolic_meta_outplace_zero__cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0635953Z   test_dispatch_symbolic_meta_outplace_zero__cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0636131Z   test_dispatch_symbolic_meta_outplace_zeros_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0636307Z   test_dispatch_symbolic_meta_outplace_zeros_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0636493Z   test_dispatch_symbolic_meta_outplace_zeros_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0636676Z   test_dispatch_symbolic_meta_outplace_zeros_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0636858Z   test_dispatch_symbolic_meta_outplace_zeros_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0637036Z   test_dispatch_symbolic_meta_outplace_zeros_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0637354Z   test_dispatch_symbolic_meta_outplace_zeros_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0637544Z   test_dispatch_symbolic_meta_outplace_zeros_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0637717Z   test_dispatch_symbolic_meta_outplace_zeros_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0637890Z   test_dispatch_symbolic_meta_outplace_zeros_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0638059Z   test_dispatch_symbolic_meta_outplace_zeros_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0638238Z   test_dispatch_symbolic_meta_outplace_zeros_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0638408Z   test_dispatch_symbolic_meta_outplace_zeros_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0638595Z   test_dispatch_symbolic_meta_outplace_zeros_like_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0638777Z   test_dispatch_symbolic_meta_outplace_zeros_like_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0638966Z   test_dispatch_symbolic_meta_outplace_zeros_like_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0639190Z   test_dispatch_symbolic_meta_outplace_zeros_like_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0639377Z   test_dispatch_symbolic_meta_outplace_zeros_like_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0639592Z   test_dispatch_symbolic_meta_outplace_zeros_like_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0639778Z   test_dispatch_symbolic_meta_outplace_zeros_like_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0639961Z   test_dispatch_symbolic_meta_outplace_zeros_like_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0640144Z   test_dispatch_symbolic_meta_outplace_zeros_like_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0640328Z   test_dispatch_symbolic_meta_outplace_zeros_like_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0640511Z   test_dispatch_symbolic_meta_outplace_zeros_like_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0640697Z   test_dispatch_symbolic_meta_outplace_zeros_like_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0640879Z   test_dispatch_symbolic_meta_outplace_zeros_like_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.000s)
2022-11-23T01:34:00.0640993Z   test_empty_quantized_cpu (__main__.TestMetaCPU) ... ok (0.023s)
2022-11-23T01:34:00.0641129Z   test_fill__alias_relationship_cpu (__main__.TestMetaCPU) ... ok (0.003s)
2022-11-23T01:34:00.0641274Z   test_fill_stride_cpu (__main__.TestMetaCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T01:34:00.0641403Z   test_huber_loss_backward_cpu (__main__.TestMetaCPU) ... ok (0.005s)
2022-11-23T01:34:00.0642102Z   test_map_location_deserialize_cpu (__main__.TestMetaCPU) ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:34:00.0642206Z   warnings.warn(message, UserWarning)
2022-11-23T01:34:00.0642274Z ok (0.003s)
2022-11-23T01:34:00.0642425Z   test_meta__fused_moving_avg_obs_fq_helper_cpu (__main__.TestMetaCPU) ... ok (0.007s)
2022-11-23T01:34:00.0642573Z   test_meta_inplace_H_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0642727Z   test_meta_inplace_H_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0642891Z   test_meta_inplace_H_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0643052Z   test_meta_inplace_H_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0643213Z   test_meta_inplace_H_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0643371Z   test_meta_inplace_H_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0643529Z   test_meta_inplace_H_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0643684Z   test_meta_inplace_H_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0643841Z   test_meta_inplace_H_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0643980Z   test_meta_inplace_H_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0644128Z   test_meta_inplace_H_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0644277Z   test_meta_inplace_H_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0644424Z   test_meta_inplace_H_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0644609Z   test_meta_inplace_T_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0644759Z   test_meta_inplace_T_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0644946Z   test_meta_inplace_T_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0645107Z   test_meta_inplace_T_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0645264Z   test_meta_inplace_T_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0645406Z   test_meta_inplace_T_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0645560Z   test_meta_inplace_T_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0645711Z   test_meta_inplace_T_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0645862Z   test_meta_inplace_T_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0646013Z   test_meta_inplace_T_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0646158Z   test_meta_inplace_T_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0646309Z   test_meta_inplace_T_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0646456Z   test_meta_inplace_T_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0646613Z   test_meta_inplace___getitem___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0646777Z   test_meta_inplace___getitem___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0646947Z   test_meta_inplace___getitem___cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0647115Z   test_meta_inplace___getitem___cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0647285Z   test_meta_inplace___getitem___cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0647452Z   test_meta_inplace___getitem___cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0647617Z   test_meta_inplace___getitem___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0647781Z   test_meta_inplace___getitem___cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0647944Z   test_meta_inplace___getitem___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
2022-11-23T01:34:00.0648092Z   test_meta_inplace___getitem___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0648255Z   test_meta_inplace___getitem___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0648415Z   test_meta_inplace___getitem___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0648576Z   test_meta_inplace___getitem___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0648738Z   test_meta_inplace___radd___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0648897Z   test_meta_inplace___radd___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0649063Z   test_meta_inplace___radd___cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0649227Z   test_meta_inplace___radd___cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0649389Z   test_meta_inplace___radd___cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0649532Z   test_meta_inplace___radd___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0649711Z   test_meta_inplace___radd___cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0649869Z   test_meta_inplace___radd___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0650050Z   test_meta_inplace___radd___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0650203Z   test_meta_inplace___radd___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0650358Z   test_meta_inplace___radd___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0650510Z   test_meta_inplace___radd___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0650663Z   test_meta_inplace___rand___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0650814Z   test_meta_inplace___rand___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0650951Z   test_meta_inplace___rand___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0651098Z   test_meta_inplace___rand___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0651251Z   test_meta_inplace___rand___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0651399Z   test_meta_inplace___rand___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0651561Z   test_meta_inplace___rdiv___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0651718Z   test_meta_inplace___rdiv___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0651886Z   test_meta_inplace___rdiv___cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0652054Z   test_meta_inplace___rdiv___cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0652217Z   test_meta_inplace___rdiv___cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0652361Z   test_meta_inplace___rdiv___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0652517Z   test_meta_inplace___rdiv___cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0652675Z   test_meta_inplace___rdiv___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0652827Z   test_meta_inplace___rdiv___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0652977Z   test_meta_inplace___rdiv___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0653133Z   test_meta_inplace___rdiv___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0653285Z   test_meta_inplace___rdiv___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0653451Z   test_meta_inplace___rmatmul___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0653623Z   test_meta_inplace___rmatmul___cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0653779Z   test_meta_inplace___rmatmul___cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0653942Z   test_meta_inplace___rmatmul___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0654107Z   test_meta_inplace___rmatmul___cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0654269Z   test_meta_inplace___rmatmul___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0654429Z   test_meta_inplace___rmatmul___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0654632Z   test_meta_inplace___rmatmul___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0654791Z   test_meta_inplace___rmatmul___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0654978Z   test_meta_inplace___rmatmul___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0655139Z   test_meta_inplace___rmod___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0655285Z   test_meta_inplace___rmod___cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0655439Z   test_meta_inplace___rmod___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0655591Z   test_meta_inplace___rmod___cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0655747Z   test_meta_inplace___rmul___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0655906Z   test_meta_inplace___rmul___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0656071Z   test_meta_inplace___rmul___cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0656238Z   test_meta_inplace___rmul___cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0656400Z   test_meta_inplace___rmul___cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0656559Z   test_meta_inplace___rmul___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0656699Z   test_meta_inplace___rmul___cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0656860Z   test_meta_inplace___rmul___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0657013Z   test_meta_inplace___rmul___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0657168Z   test_meta_inplace___rmul___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0657324Z   test_meta_inplace___rmul___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0657478Z   test_meta_inplace___rmul___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0657635Z   test_meta_inplace___ror___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0657791Z   test_meta_inplace___ror___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0657932Z   test_meta_inplace___ror___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0658082Z   test_meta_inplace___ror___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0658235Z   test_meta_inplace___ror___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0658392Z   test_meta_inplace___ror___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0658553Z   test_meta_inplace___rpow___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0658721Z   test_meta_inplace___rpow___cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0658887Z   test_meta_inplace___rpow___cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0659046Z   test_meta_inplace___rpow___cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0659200Z   test_meta_inplace___rpow___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0659339Z   test_meta_inplace___rpow___cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0659495Z   test_meta_inplace___rpow___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0659687Z   test_meta_inplace___rpow___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0659841Z   test_meta_inplace___rpow___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0660024Z   test_meta_inplace___rpow___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0660176Z   test_meta_inplace___rpow___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0660336Z   test_meta_inplace___rsub___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0660501Z   test_meta_inplace___rsub___cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0660666Z   test_meta_inplace___rsub___cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0660812Z   test_meta_inplace___rsub___cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0660972Z   test_meta_inplace___rsub___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0661128Z   test_meta_inplace___rsub___cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0661284Z   test_meta_inplace___rsub___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0661436Z   test_meta_inplace___rsub___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0661587Z   test_meta_inplace___rsub___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0661742Z   test_meta_inplace___rsub___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0661891Z   test_meta_inplace___rsub___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0662045Z   test_meta_inplace___rxor___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0662184Z   test_meta_inplace___rxor___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0662336Z   test_meta_inplace___rxor___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0662484Z   test_meta_inplace___rxor___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0662635Z   test_meta_inplace___rxor___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0662785Z   test_meta_inplace___rxor___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0662968Z   test_meta_inplace__softmax_backward_data_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0663147Z   test_meta_inplace__softmax_backward_data_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0663324Z   test_meta_inplace__softmax_backward_data_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0663486Z   test_meta_inplace_abs_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0663637Z   test_meta_inplace_abs_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0663796Z   test_meta_inplace_abs_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0663951Z   test_meta_inplace_abs_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0664109Z   test_meta_inplace_abs_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0664266Z   test_meta_inplace_abs_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0664516Z   test_meta_inplace_abs_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0664709Z   test_meta_inplace_abs_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0664865Z   test_meta_inplace_abs_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0665045Z   test_meta_inplace_abs_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0665187Z   test_meta_inplace_abs_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0665338Z   test_meta_inplace_abs_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0665499Z   test_meta_inplace_acos_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0665654Z   test_meta_inplace_acos_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0665821Z   test_meta_inplace_acos_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0665987Z   test_meta_inplace_acos_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0666145Z   test_meta_inplace_acos_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0666305Z   test_meta_inplace_acos_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0666450Z   test_meta_inplace_acos_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0666610Z   test_meta_inplace_acos_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0666766Z   test_meta_inplace_acos_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0666920Z   test_meta_inplace_acos_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0667073Z   test_meta_inplace_acos_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0667238Z   test_meta_inplace_acosh_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0667391Z   test_meta_inplace_acosh_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0667557Z   test_meta_inplace_acosh_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0667720Z   test_meta_inplace_acosh_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0667866Z   test_meta_inplace_acosh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0668020Z   test_meta_inplace_acosh_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0668174Z   test_meta_inplace_acosh_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0668329Z   test_meta_inplace_acosh_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0668487Z   test_meta_inplace_acosh_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0668642Z   test_meta_inplace_acosh_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0668799Z   test_meta_inplace_acosh_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0668958Z   test_meta_inplace_add_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0669115Z   test_meta_inplace_add_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0669264Z   test_meta_inplace_add_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0669425Z   test_meta_inplace_add_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0669581Z   test_meta_inplace_add_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0669735Z   test_meta_inplace_add_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0669926Z   test_meta_inplace_add_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0670109Z   test_meta_inplace_add_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0670264Z   test_meta_inplace_add_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0670420Z   test_meta_inplace_add_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0670573Z   test_meta_inplace_add_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0670715Z   test_meta_inplace_add_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0670869Z   test_meta_inplace_add_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0671034Z   test_meta_inplace_addbmm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0671202Z   test_meta_inplace_addbmm_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0671372Z   test_meta_inplace_addbmm_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0671537Z   test_meta_inplace_addbmm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0671697Z   test_meta_inplace_addbmm_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0671857Z   test_meta_inplace_addbmm_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0672002Z   test_meta_inplace_addbmm_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0672161Z   test_meta_inplace_addbmm_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
2022-11-23T01:34:00.0672324Z   test_meta_inplace_addbmm_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0672484Z   test_meta_inplace_addbmm_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0672649Z   test_meta_inplace_addcdiv_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0672820Z   test_meta_inplace_addcdiv_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0672988Z   test_meta_inplace_addcdiv_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0673153Z   test_meta_inplace_addcdiv_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0673314Z   test_meta_inplace_addcdiv_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0673463Z   test_meta_inplace_addcmul_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0673630Z   test_meta_inplace_addcmul_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0673799Z   test_meta_inplace_addcmul_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0674001Z   test_meta_inplace_addcmul_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0674159Z   test_meta_inplace_addcmul_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0674321Z   test_meta_inplace_addcmul_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0674478Z   test_meta_inplace_addcmul_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0674633Z   test_meta_inplace_addcmul_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0674790Z   test_meta_inplace_addcmul_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0674967Z   test_meta_inplace_addcmul_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0675130Z   test_meta_inplace_addmm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0675319Z   test_meta_inplace_addmm_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0675485Z   test_meta_inplace_addmm_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0675644Z   test_meta_inplace_addmm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0675800Z   test_meta_inplace_addmm_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0675958Z   test_meta_inplace_addmm_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0676116Z   test_meta_inplace_addmm_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0676278Z   test_meta_inplace_addmm_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0676422Z   test_meta_inplace_addmm_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0676581Z   test_meta_inplace_addmm_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0676759Z   test_meta_inplace_addmm_decomposed_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0676939Z   test_meta_inplace_addmm_decomposed_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0677236Z   test_meta_inplace_addmm_decomposed_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0677462Z   test_meta_inplace_addmm_decomposed_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0677639Z   test_meta_inplace_addmm_decomposed_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0677815Z   test_meta_inplace_addmm_decomposed_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0677987Z   test_meta_inplace_addmm_decomposed_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0678144Z   test_meta_inplace_addmm_decomposed_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0678315Z   test_meta_inplace_addmm_decomposed_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0678481Z   test_meta_inplace_addmm_decomposed_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0678644Z   test_meta_inplace_addmv_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0678813Z   test_meta_inplace_addmv_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0678976Z   test_meta_inplace_addmv_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0679138Z   test_meta_inplace_addmv_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0679297Z   test_meta_inplace_addmv_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0679453Z   test_meta_inplace_addmv_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0679597Z   test_meta_inplace_addmv_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0679755Z   test_meta_inplace_addmv_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0679910Z   test_meta_inplace_addmv_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0680066Z   test_meta_inplace_addmv_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0680226Z   test_meta_inplace_addr_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0680440Z   test_meta_inplace_addr_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0680606Z   test_meta_inplace_addr_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0680803Z   test_meta_inplace_addr_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0680961Z   test_meta_inplace_addr_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0681108Z   test_meta_inplace_addr_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0681265Z   test_meta_inplace_addr_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0681420Z   test_meta_inplace_addr_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0681578Z   test_meta_inplace_addr_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0681736Z   test_meta_inplace_addr_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0681893Z   test_meta_inplace_addr_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0682052Z   test_meta_inplace_addr_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0682209Z   test_meta_inplace_all_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0682350Z   test_meta_inplace_all_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0682514Z   test_meta_inplace_all_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0682673Z   test_meta_inplace_all_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0682830Z   test_meta_inplace_all_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0682989Z   test_meta_inplace_all_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0683146Z   test_meta_inplace_all_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0683305Z   test_meta_inplace_all_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0683459Z   test_meta_inplace_all_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0683611Z   test_meta_inplace_all_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0683750Z   test_meta_inplace_all_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0683899Z   test_meta_inplace_all_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0684065Z   test_meta_inplace_allclose_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0684235Z   test_meta_inplace_allclose_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0684402Z   test_meta_inplace_allclose_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0684567Z   test_meta_inplace_allclose_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0684726Z   test_meta_inplace_allclose_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0684881Z   test_meta_inplace_allclose_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0685041Z   test_meta_inplace_amax_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0685182Z   test_meta_inplace_amax_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0685338Z   test_meta_inplace_amax_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0685531Z   test_meta_inplace_amax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0685687Z   test_meta_inplace_amax_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0685869Z   test_meta_inplace_amax_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0686025Z   test_meta_inplace_amax_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0686180Z   test_meta_inplace_amax_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0686331Z   test_meta_inplace_amax_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0686484Z   test_meta_inplace_amax_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0686632Z   test_meta_inplace_amin_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0686785Z   test_meta_inplace_amin_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0686940Z   test_meta_inplace_amin_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0687098Z   test_meta_inplace_amin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0687255Z   test_meta_inplace_amin_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0687408Z   test_meta_inplace_amin_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0687563Z   test_meta_inplace_amin_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0687717Z   test_meta_inplace_amin_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0687857Z   test_meta_inplace_amin_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0688014Z   test_meta_inplace_amin_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0688172Z   test_meta_inplace_aminmax_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0688337Z   test_meta_inplace_aminmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0688496Z   test_meta_inplace_aminmax_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0688654Z   test_meta_inplace_aminmax_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0688809Z   test_meta_inplace_aminmax_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0688965Z   test_meta_inplace_aminmax_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0689122Z   test_meta_inplace_aminmax_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0689272Z   test_meta_inplace_aminmax_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0689432Z   test_meta_inplace_angle_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0689588Z   test_meta_inplace_angle_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0689752Z   test_meta_inplace_angle_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0689914Z   test_meta_inplace_angle_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0690072Z   test_meta_inplace_angle_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0690226Z   test_meta_inplace_angle_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0690375Z   test_meta_inplace_angle_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0690576Z   test_meta_inplace_angle_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0690722Z   test_meta_inplace_angle_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0690903Z   test_meta_inplace_angle_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0691057Z   test_meta_inplace_angle_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0691211Z   test_meta_inplace_angle_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0691368Z   test_meta_inplace_any_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0691520Z   test_meta_inplace_any_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0691680Z   test_meta_inplace_any_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0691838Z   test_meta_inplace_any_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0691990Z   test_meta_inplace_any_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0692136Z   test_meta_inplace_any_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0692290Z   test_meta_inplace_any_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0692443Z   test_meta_inplace_any_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0692596Z   test_meta_inplace_any_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0692751Z   test_meta_inplace_any_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0692904Z   test_meta_inplace_any_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0693055Z   test_meta_inplace_any_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0693222Z   test_meta_inplace_arange_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0693372Z   test_meta_inplace_arange_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0693528Z   test_meta_inplace_arange_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0693684Z   test_meta_inplace_arange_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0693839Z   test_meta_inplace_arange_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0693996Z   test_meta_inplace_arange_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0694154Z   test_meta_inplace_arange_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0694312Z   test_meta_inplace_arange_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0694470Z   test_meta_inplace_arange_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0694635Z   test_meta_inplace_argmax_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0694782Z   test_meta_inplace_argmax_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0694936Z   test_meta_inplace_argmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0695090Z   test_meta_inplace_argmax_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0695245Z   test_meta_inplace_argmax_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0695400Z   test_meta_inplace_argmax_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0695557Z   test_meta_inplace_argmax_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0695745Z   test_meta_inplace_argmax_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0695926Z   test_meta_inplace_argmax_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0696091Z   test_meta_inplace_argmin_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0696237Z   test_meta_inplace_argmin_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0696394Z   test_meta_inplace_argmin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0696548Z   test_meta_inplace_argmin_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0696703Z   test_meta_inplace_argmin_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
2022-11-23T01:34:00.0696858Z   test_meta_inplace_argmin_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0697014Z   test_meta_inplace_argmin_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0697176Z   test_meta_inplace_argmin_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0697330Z   test_meta_inplace_argmin_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0697496Z   test_meta_inplace_argsort_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0697639Z   test_meta_inplace_argsort_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0697800Z   test_meta_inplace_argsort_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0697959Z   test_meta_inplace_argsort_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0698115Z   test_meta_inplace_argsort_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0698276Z   test_meta_inplace_argsort_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0698431Z   test_meta_inplace_argsort_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0698583Z   test_meta_inplace_argsort_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0698738Z   test_meta_inplace_argsort_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0698883Z   test_meta_inplace_argsort_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0699048Z   test_meta_inplace_argwhere_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0699202Z   test_meta_inplace_argwhere_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0699371Z   test_meta_inplace_argwhere_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0699541Z   test_meta_inplace_argwhere_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0699706Z   test_meta_inplace_argwhere_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0699865Z   test_meta_inplace_argwhere_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0700023Z   test_meta_inplace_argwhere_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0700182Z   test_meta_inplace_argwhere_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0700326Z   test_meta_inplace_argwhere_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0700478Z   test_meta_inplace_argwhere_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0700667Z   test_meta_inplace_argwhere_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0700822Z   test_meta_inplace_argwhere_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0701058Z   test_meta_inplace_as_strided_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0701222Z   test_meta_inplace_as_strided_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0701396Z   test_meta_inplace_as_strided_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0701565Z   test_meta_inplace_as_strided_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0701735Z   test_meta_inplace_as_strided_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0701886Z   test_meta_inplace_as_strided_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0702056Z   test_meta_inplace_as_strided_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0702226Z   test_meta_inplace_as_strided_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0702390Z   test_meta_inplace_as_strided_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0702548Z   test_meta_inplace_as_strided_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0702704Z   test_meta_inplace_as_strided_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0702866Z   test_meta_inplace_as_strided_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0703021Z   test_meta_inplace_as_strided_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0703198Z   test_meta_inplace_as_strided_scatter_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0703358Z   test_meta_inplace_as_strided_scatter_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0703540Z   test_meta_inplace_as_strided_scatter_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0703718Z   test_meta_inplace_as_strided_scatter_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0703894Z   test_meta_inplace_as_strided_scatter_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0704072Z   test_meta_inplace_as_strided_scatter_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0704247Z   test_meta_inplace_as_strided_scatter_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0704504Z   test_meta_inplace_as_strided_scatter_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0704681Z   test_meta_inplace_as_strided_scatter_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0704851Z   test_meta_inplace_as_strided_scatter_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0705006Z   test_meta_inplace_as_strided_scatter_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0705178Z   test_meta_inplace_as_strided_scatter_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0705342Z   test_meta_inplace_as_strided_scatter_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0705503Z   test_meta_inplace_asin_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0705658Z   test_meta_inplace_asin_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0705823Z   test_meta_inplace_asin_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0706019Z   test_meta_inplace_asin_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0706203Z   test_meta_inplace_asin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0706362Z   test_meta_inplace_asin_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0706504Z   test_meta_inplace_asin_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0706660Z   test_meta_inplace_asin_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0706814Z   test_meta_inplace_asin_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0706968Z   test_meta_inplace_asin_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0707121Z   test_meta_inplace_asin_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0707285Z   test_meta_inplace_asinh_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0707440Z   test_meta_inplace_asinh_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0707606Z   test_meta_inplace_asinh_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0707771Z   test_meta_inplace_asinh_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0707917Z   test_meta_inplace_asinh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0708074Z   test_meta_inplace_asinh_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0708229Z   test_meta_inplace_asinh_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0708384Z   test_meta_inplace_asinh_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0708541Z   test_meta_inplace_asinh_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0708693Z   test_meta_inplace_asinh_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0708851Z   test_meta_inplace_asinh_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0709011Z   test_meta_inplace_atan2_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0709164Z   test_meta_inplace_atan2_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0709310Z   test_meta_inplace_atan2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0709467Z   test_meta_inplace_atan2_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0709624Z   test_meta_inplace_atan2_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0709782Z   test_meta_inplace_atan2_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0709935Z   test_meta_inplace_atan2_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0710089Z   test_meta_inplace_atan2_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0710242Z   test_meta_inplace_atan2_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0710402Z   test_meta_inplace_atan_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0710556Z   test_meta_inplace_atan_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0710708Z   test_meta_inplace_atan_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0710872Z   test_meta_inplace_atan_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0711056Z   test_meta_inplace_atan_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0711213Z   test_meta_inplace_atan_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0711392Z   test_meta_inplace_atan_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0711545Z   test_meta_inplace_atan_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0711699Z   test_meta_inplace_atan_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0711856Z   test_meta_inplace_atan_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0711997Z   test_meta_inplace_atan_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0712159Z   test_meta_inplace_atanh_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0712314Z   test_meta_inplace_atanh_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0712478Z   test_meta_inplace_atanh_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0712643Z   test_meta_inplace_atanh_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0712802Z   test_meta_inplace_atanh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0712957Z   test_meta_inplace_atanh_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0713112Z   test_meta_inplace_atanh_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0713266Z   test_meta_inplace_atanh_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0713409Z   test_meta_inplace_atanh_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0713562Z   test_meta_inplace_atanh_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0713717Z   test_meta_inplace_atanh_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0713885Z   test_meta_inplace_atleast_1d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0714047Z   test_meta_inplace_atleast_1d_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0714216Z   test_meta_inplace_atleast_1d_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0714386Z   test_meta_inplace_atleast_1d_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0714553Z   test_meta_inplace_atleast_1d_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0714718Z   test_meta_inplace_atleast_1d_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0714872Z   test_meta_inplace_atleast_1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0715036Z   test_meta_inplace_atleast_1d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0715200Z   test_meta_inplace_atleast_1d_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0715356Z   test_meta_inplace_atleast_1d_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0715513Z   test_meta_inplace_atleast_1d_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0715675Z   test_meta_inplace_atleast_1d_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0715831Z   test_meta_inplace_atleast_1d_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0715997Z   test_meta_inplace_atleast_2d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0716191Z   test_meta_inplace_atleast_2d_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0716374Z   test_meta_inplace_atleast_2d_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0716543Z   test_meta_inplace_atleast_2d_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0716709Z   test_meta_inplace_atleast_2d_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0716875Z   test_meta_inplace_atleast_2d_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0717040Z   test_meta_inplace_atleast_2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0717366Z   test_meta_inplace_atleast_2d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0717546Z   test_meta_inplace_atleast_2d_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0717702Z   test_meta_inplace_atleast_2d_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0717859Z   test_meta_inplace_atleast_2d_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0718006Z   test_meta_inplace_atleast_2d_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0718161Z   test_meta_inplace_atleast_2d_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0718326Z   test_meta_inplace_atleast_3d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0718489Z   test_meta_inplace_atleast_3d_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0718659Z   test_meta_inplace_atleast_3d_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0718828Z   test_meta_inplace_atleast_3d_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0718996Z   test_meta_inplace_atleast_3d_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0719162Z   test_meta_inplace_atleast_3d_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0719327Z   test_meta_inplace_atleast_3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0719477Z   test_meta_inplace_atleast_3d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0719636Z   test_meta_inplace_atleast_3d_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0719791Z   test_meta_inplace_atleast_3d_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0719945Z   test_meta_inplace_atleast_3d_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0720109Z   test_meta_inplace_atleast_3d_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0720264Z   test_meta_inplace_atleast_3d_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0720423Z   test_meta_inplace_baddbmm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0720591Z   test_meta_inplace_baddbmm_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0720761Z   test_meta_inplace_baddbmm_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0720910Z   test_meta_inplace_baddbmm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0721072Z   test_meta_inplace_baddbmm_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0721231Z   test_meta_inplace_baddbmm_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0721453Z   test_meta_inplace_baddbmm_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0721641Z   test_meta_inplace_baddbmm_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
2022-11-23T01:34:00.0721801Z   test_meta_inplace_baddbmm_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0721962Z   test_meta_inplace_baddbmm_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0722128Z   test_meta_inplace_bernoulli_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0722296Z   test_meta_inplace_bernoulli_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0722450Z   test_meta_inplace_bernoulli_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0722615Z   test_meta_inplace_bfloat16_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0722777Z   test_meta_inplace_bfloat16_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0722947Z   test_meta_inplace_bfloat16_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0723113Z   test_meta_inplace_bfloat16_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0723279Z   test_meta_inplace_bfloat16_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0723441Z   test_meta_inplace_bfloat16_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0723599Z   test_meta_inplace_bfloat16_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0723742Z   test_meta_inplace_bfloat16_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0723905Z   test_meta_inplace_bfloat16_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0724062Z   test_meta_inplace_bfloat16_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0724221Z   test_meta_inplace_bfloat16_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0724379Z   test_meta_inplace_bfloat16_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0724532Z   test_meta_inplace_bfloat16_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0724685Z   test_meta_inplace_bincount_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0724836Z   test_meta_inplace_bincount_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0724996Z   test_meta_inplace_bincount_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0725146Z   test_meta_inplace_bincount_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0725300Z   test_meta_inplace_bincount_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0725464Z   test_meta_inplace_bitwise_and_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0725629Z   test_meta_inplace_bitwise_and_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0725793Z   test_meta_inplace_bitwise_and_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0725957Z   test_meta_inplace_bitwise_and_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0726117Z   test_meta_inplace_bitwise_and_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0726278Z   test_meta_inplace_bitwise_and_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0726495Z   test_meta_inplace_bitwise_left_shift_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0726654Z   test_meta_inplace_bitwise_left_shift_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0726846Z   test_meta_inplace_bitwise_left_shift_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0727016Z   test_meta_inplace_bitwise_left_shift_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0727183Z   test_meta_inplace_bitwise_left_shift_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0727347Z   test_meta_inplace_bitwise_not_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0727507Z   test_meta_inplace_bitwise_not_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0727667Z   test_meta_inplace_bitwise_not_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0727831Z   test_meta_inplace_bitwise_not_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0727998Z   test_meta_inplace_bitwise_not_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0728147Z   test_meta_inplace_bitwise_not_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0728309Z   test_meta_inplace_bitwise_or_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0728469Z   test_meta_inplace_bitwise_or_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0728626Z   test_meta_inplace_bitwise_or_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0728781Z   test_meta_inplace_bitwise_or_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0728944Z   test_meta_inplace_bitwise_or_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0729102Z   test_meta_inplace_bitwise_or_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0729279Z   test_meta_inplace_bitwise_right_shift_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0729450Z   test_meta_inplace_bitwise_right_shift_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0729609Z   test_meta_inplace_bitwise_right_shift_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0729778Z   test_meta_inplace_bitwise_right_shift_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0729946Z   test_meta_inplace_bitwise_right_shift_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0730107Z   test_meta_inplace_bitwise_xor_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0730269Z   test_meta_inplace_bitwise_xor_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0730429Z   test_meta_inplace_bitwise_xor_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0730593Z   test_meta_inplace_bitwise_xor_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0730753Z   test_meta_inplace_bitwise_xor_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0730912Z   test_meta_inplace_bitwise_xor_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0731067Z   test_meta_inplace_block_diag_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0731232Z   test_meta_inplace_block_diag_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0731402Z   test_meta_inplace_block_diag_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0731602Z   test_meta_inplace_block_diag_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0731805Z   test_meta_inplace_block_diag_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0731972Z   test_meta_inplace_block_diag_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0732137Z   test_meta_inplace_block_diag_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0732302Z   test_meta_inplace_block_diag_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0732462Z   test_meta_inplace_block_diag_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0732607Z   test_meta_inplace_block_diag_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0732765Z   test_meta_inplace_block_diag_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0732926Z   test_meta_inplace_block_diag_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0733084Z   test_meta_inplace_block_diag_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0733241Z   test_meta_inplace_bmm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0733401Z   test_meta_inplace_bmm_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0733562Z   test_meta_inplace_bmm_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0733718Z   test_meta_inplace_bmm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0733876Z   test_meta_inplace_bmm_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0734019Z   test_meta_inplace_bmm_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0734173Z   test_meta_inplace_bmm_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0734383Z   test_meta_inplace_bmm_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0734537Z   test_meta_inplace_bmm_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0734694Z   test_meta_inplace_bmm_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0734852Z   test_meta_inplace_bool_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0735004Z   test_meta_inplace_bool_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0735168Z   test_meta_inplace_bool_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0735332Z   test_meta_inplace_bool_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0735478Z   test_meta_inplace_bool_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0735639Z   test_meta_inplace_bool_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0735794Z   test_meta_inplace_bool_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0735950Z   test_meta_inplace_bool_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0736103Z   test_meta_inplace_bool_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0736259Z   test_meta_inplace_bool_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0736415Z   test_meta_inplace_bool_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0736566Z   test_meta_inplace_bool_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0736752Z   test_meta_inplace_bool_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0736945Z   test_meta_inplace_broadcast_shapes_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0737122Z   test_meta_inplace_broadcast_tensors_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0737293Z   test_meta_inplace_broadcast_tensors_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0737472Z   test_meta_inplace_broadcast_tensors_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0737650Z   test_meta_inplace_broadcast_tensors_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0737824Z   test_meta_inplace_broadcast_tensors_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0738003Z   test_meta_inplace_broadcast_tensors_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0738174Z   test_meta_inplace_broadcast_tensors_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0738348Z   test_meta_inplace_broadcast_tensors_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0738508Z   test_meta_inplace_broadcast_tensors_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0738674Z   test_meta_inplace_broadcast_tensors_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0738846Z   test_meta_inplace_broadcast_tensors_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0739013Z   test_meta_inplace_broadcast_tensors_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0739186Z   test_meta_inplace_broadcast_to_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0739351Z   test_meta_inplace_broadcast_to_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0739526Z   test_meta_inplace_broadcast_to_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0739696Z   test_meta_inplace_broadcast_to_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0739862Z   test_meta_inplace_broadcast_to_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0740017Z   test_meta_inplace_broadcast_to_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0740181Z   test_meta_inplace_broadcast_to_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0740345Z   test_meta_inplace_broadcast_to_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0740511Z   test_meta_inplace_broadcast_to_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0740676Z   test_meta_inplace_broadcast_to_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0740840Z   test_meta_inplace_broadcast_to_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0741002Z   test_meta_inplace_broadcast_to_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0741170Z   test_meta_inplace_bucketize_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0741335Z   test_meta_inplace_bucketize_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0741484Z   test_meta_inplace_bucketize_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0741648Z   test_meta_inplace_bucketize_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0741844Z   test_meta_inplace_bucketize_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0742003Z   test_meta_inplace_bucketize_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0742187Z   test_meta_inplace_bucketize_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0742344Z   test_meta_inplace_bucketize_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0742501Z   test_meta_inplace_bucketize_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0742663Z   test_meta_inplace_byte_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0742816Z   test_meta_inplace_byte_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0742967Z   test_meta_inplace_byte_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0743130Z   test_meta_inplace_byte_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0743287Z   test_meta_inplace_byte_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0743445Z   test_meta_inplace_byte_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0743603Z   test_meta_inplace_byte_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0743757Z   test_meta_inplace_byte_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0743914Z   test_meta_inplace_byte_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0744070Z   test_meta_inplace_byte_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0744224Z   test_meta_inplace_byte_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0744366Z   test_meta_inplace_byte_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0744634Z   test_meta_inplace_cartesian_prod_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0744810Z   test_meta_inplace_cartesian_prod_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0744987Z   test_meta_inplace_cartesian_prod_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0745163Z   test_meta_inplace_cartesian_prod_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0745336Z   test_meta_inplace_cartesian_prod_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0745508Z   test_meta_inplace_cartesian_prod_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0745676Z   test_meta_inplace_cartesian_prod_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0745850Z   test_meta_inplace_cartesian_prod_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0746008Z   test_meta_inplace_cartesian_prod_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0746175Z   test_meta_inplace_cartesian_prod_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0746347Z   test_meta_inplace_cartesian_prod_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0746516Z   test_meta_inplace_cartesian_prod_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0746676Z   test_meta_inplace_cat_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
2022-11-23T01:34:00.0746832Z   test_meta_inplace_cat_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0747029Z   test_meta_inplace_cat_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0747190Z   test_meta_inplace_cat_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0747363Z   test_meta_inplace_cat_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0747520Z   test_meta_inplace_cat_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0747677Z   test_meta_inplace_cat_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0747833Z   test_meta_inplace_cat_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0747987Z   test_meta_inplace_cat_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0748143Z   test_meta_inplace_cat_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0748297Z   test_meta_inplace_cat_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0748449Z   test_meta_inplace_cat_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0748600Z   test_meta_inplace_cat_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0748747Z   test_meta_inplace_cdist_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0748902Z   test_meta_inplace_cdist_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0749067Z   test_meta_inplace_cdouble_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0749224Z   test_meta_inplace_cdouble_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0749392Z   test_meta_inplace_cdouble_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0749562Z   test_meta_inplace_cdouble_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0749727Z   test_meta_inplace_cdouble_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0749893Z   test_meta_inplace_cdouble_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0750053Z   test_meta_inplace_cdouble_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0750195Z   test_meta_inplace_cdouble_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0750351Z   test_meta_inplace_cdouble_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0750507Z   test_meta_inplace_cdouble_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0750659Z   test_meta_inplace_cdouble_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0750818Z   test_meta_inplace_cdouble_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0750975Z   test_meta_inplace_cdouble_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0751133Z   test_meta_inplace_ceil_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0751291Z   test_meta_inplace_ceil_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0751447Z   test_meta_inplace_ceil_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0751590Z   test_meta_inplace_ceil_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0751748Z   test_meta_inplace_ceil_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0751900Z   test_meta_inplace_ceil_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0752085Z   test_meta_inplace_ceil_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0752239Z   test_meta_inplace_ceil_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0752429Z   test_meta_inplace_cfloat_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0752588Z   test_meta_inplace_cfloat_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0752752Z   test_meta_inplace_cfloat_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0752915Z   test_meta_inplace_cfloat_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0753063Z   test_meta_inplace_cfloat_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0753223Z   test_meta_inplace_cfloat_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0753382Z   test_meta_inplace_cfloat_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0753535Z   test_meta_inplace_cfloat_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0753694Z   test_meta_inplace_cfloat_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0753850Z   test_meta_inplace_cfloat_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0754007Z   test_meta_inplace_cfloat_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0754164Z   test_meta_inplace_cfloat_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0754307Z   test_meta_inplace_cfloat_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0754469Z   test_meta_inplace_chalf_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0754625Z   test_meta_inplace_chalf_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0754792Z   test_meta_inplace_chalf_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0754957Z   test_meta_inplace_chalf_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0755118Z   test_meta_inplace_chalf_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0755280Z   test_meta_inplace_chalf_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0755435Z   test_meta_inplace_chalf_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0755588Z   test_meta_inplace_chalf_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0755732Z   test_meta_inplace_chalf_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0755891Z   test_meta_inplace_chalf_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0756045Z   test_meta_inplace_chalf_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0756201Z   test_meta_inplace_chalf_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0756355Z   test_meta_inplace_chalf_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0756514Z   test_meta_inplace_char_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0756669Z   test_meta_inplace_char_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0756834Z   test_meta_inplace_char_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0756992Z   test_meta_inplace_char_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0757308Z   test_meta_inplace_char_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0757536Z   test_meta_inplace_char_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0757756Z   test_meta_inplace_char_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0757918Z   test_meta_inplace_char_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0758073Z   test_meta_inplace_char_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0758231Z   test_meta_inplace_char_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0758384Z   test_meta_inplace_char_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0758541Z   test_meta_inplace_char_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0758696Z   test_meta_inplace_char_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0758853Z   test_meta_inplace_cholesky_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0759024Z   test_meta_inplace_cholesky_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0759188Z   test_meta_inplace_cholesky_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0759347Z   test_meta_inplace_cholesky_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0759527Z   test_meta_inplace_cholesky_inverse_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0759705Z   test_meta_inplace_cholesky_inverse_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0759879Z   test_meta_inplace_cholesky_inverse_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0760054Z   test_meta_inplace_cholesky_inverse_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0760229Z   test_meta_inplace_cholesky_solve_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0760391Z   test_meta_inplace_cholesky_solve_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0760561Z   test_meta_inplace_cholesky_solve_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0760730Z   test_meta_inplace_cholesky_solve_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0760891Z   test_meta_inplace_chunk_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0761046Z   test_meta_inplace_chunk_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0761209Z   test_meta_inplace_chunk_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0761374Z   test_meta_inplace_chunk_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0761532Z   test_meta_inplace_chunk_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0761691Z   test_meta_inplace_chunk_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0761835Z   test_meta_inplace_chunk_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0761987Z   test_meta_inplace_chunk_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0762143Z   test_meta_inplace_chunk_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0762299Z   test_meta_inplace_chunk_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0762454Z   test_meta_inplace_chunk_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0762661Z   test_meta_inplace_chunk_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0762842Z   test_meta_inplace_chunk_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0763005Z   test_meta_inplace_clamp_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0763151Z   test_meta_inplace_clamp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0763311Z   test_meta_inplace_clamp_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0763470Z   test_meta_inplace_clamp_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0763628Z   test_meta_inplace_clamp_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0763786Z   test_meta_inplace_clamp_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0763946Z   test_meta_inplace_clamp_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0764102Z   test_meta_inplace_clamp_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0764274Z   test_meta_inplace_clamp_max_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0764451Z   test_meta_inplace_clamp_max_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0764602Z   test_meta_inplace_clamp_max_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0764769Z   test_meta_inplace_clamp_max_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0764935Z   test_meta_inplace_clamp_max_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0765098Z   test_meta_inplace_clamp_max_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0765259Z   test_meta_inplace_clamp_max_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0765419Z   test_meta_inplace_clamp_max_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0765580Z   test_meta_inplace_clamp_max_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0765738Z   test_meta_inplace_clamp_max_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0765904Z   test_meta_inplace_clamp_min_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0766051Z   test_meta_inplace_clamp_min_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0766214Z   test_meta_inplace_clamp_min_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0766381Z   test_meta_inplace_clamp_min_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0766544Z   test_meta_inplace_clamp_min_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0766705Z   test_meta_inplace_clamp_min_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0766861Z   test_meta_inplace_clamp_min_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0767016Z   test_meta_inplace_clamp_min_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0767176Z   test_meta_inplace_clamp_min_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0767334Z   test_meta_inplace_clamp_min_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0767479Z   test_meta_inplace_clone_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0767666Z   test_meta_inplace_clone_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0767829Z   test_meta_inplace_clone_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0768020Z   test_meta_inplace_clone_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0768181Z   test_meta_inplace_clone_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0768340Z   test_meta_inplace_clone_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0768497Z   test_meta_inplace_clone_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0768650Z   test_meta_inplace_clone_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0768807Z   test_meta_inplace_clone_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0768953Z   test_meta_inplace_clone_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0769108Z   test_meta_inplace_clone_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0769266Z   test_meta_inplace_clone_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0769421Z   test_meta_inplace_clone_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0769593Z   test_meta_inplace_column_stack_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0769760Z   test_meta_inplace_column_stack_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0769936Z   test_meta_inplace_column_stack_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0770108Z   test_meta_inplace_column_stack_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0770267Z   test_meta_inplace_column_stack_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0770436Z   test_meta_inplace_column_stack_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0770607Z   test_meta_inplace_column_stack_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0770775Z   test_meta_inplace_column_stack_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0770941Z   test_meta_inplace_column_stack_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0771108Z   test_meta_inplace_column_stack_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0771271Z   test_meta_inplace_column_stack_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0771436Z   test_meta_inplace_column_stack_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
2022-11-23T01:34:00.0771602Z   test_meta_inplace_column_stack_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0771765Z   test_meta_inplace_combinations_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0771926Z   test_meta_inplace_combinations_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0772105Z   test_meta_inplace_combinations_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0772280Z   test_meta_inplace_combinations_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0772450Z   test_meta_inplace_combinations_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0772617Z   test_meta_inplace_combinations_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0772809Z   test_meta_inplace_combinations_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0772975Z   test_meta_inplace_combinations_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0773168Z   test_meta_inplace_combinations_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0773333Z   test_meta_inplace_combinations_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0773487Z   test_meta_inplace_combinations_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0773650Z   test_meta_inplace_combinations_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0773812Z   test_meta_inplace_complex_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0773968Z   test_meta_inplace_complex_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0774124Z   test_meta_inplace_complex_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0774283Z   test_meta_inplace_conj_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0774439Z   test_meta_inplace_conj_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0774601Z   test_meta_inplace_conj_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0774750Z   test_meta_inplace_conj_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0774907Z   test_meta_inplace_conj_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0775065Z   test_meta_inplace_conj_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0775222Z   test_meta_inplace_conj_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0775382Z   test_meta_inplace_conj_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0775534Z   test_meta_inplace_conj_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0775691Z   test_meta_inplace_conj_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0775844Z   test_meta_inplace_conj_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0775997Z   test_meta_inplace_conj_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0776136Z   test_meta_inplace_conj_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0776307Z   test_meta_inplace_conj_physical_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0776472Z   test_meta_inplace_conj_physical_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0776648Z   test_meta_inplace_conj_physical_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0776819Z   test_meta_inplace_conj_physical_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0776995Z   test_meta_inplace_conj_physical_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0777162Z   test_meta_inplace_conj_physical_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0777327Z   test_meta_inplace_conj_physical_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0777491Z   test_meta_inplace_conj_physical_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0777644Z   test_meta_inplace_conj_physical_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0777812Z   test_meta_inplace_conj_physical_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0778013Z   test_meta_inplace_conj_physical_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0778202Z   test_meta_inplace_conj_physical_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0778368Z   test_meta_inplace_conj_physical_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0778542Z   test_meta_inplace_constant_pad_nd_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0778714Z   test_meta_inplace_constant_pad_nd_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0778889Z   test_meta_inplace_constant_pad_nd_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0779065Z   test_meta_inplace_constant_pad_nd_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0779225Z   test_meta_inplace_constant_pad_nd_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0779394Z   test_meta_inplace_constant_pad_nd_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0779560Z   test_meta_inplace_constant_pad_nd_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0779726Z   test_meta_inplace_constant_pad_nd_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0779894Z   test_meta_inplace_constant_pad_nd_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0780058Z   test_meta_inplace_constant_pad_nd_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0780223Z   test_meta_inplace_constant_pad_nd_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0780392Z   test_meta_inplace_constant_pad_nd_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0780563Z   test_meta_inplace_contiguous_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0780716Z   test_meta_inplace_contiguous_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0780884Z   test_meta_inplace_contiguous_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0781053Z   test_meta_inplace_contiguous_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0781223Z   test_meta_inplace_contiguous_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0781391Z   test_meta_inplace_contiguous_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0781557Z   test_meta_inplace_contiguous_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0781731Z   test_meta_inplace_contiguous_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0781895Z   test_meta_inplace_contiguous_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0782057Z   test_meta_inplace_contiguous_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0782202Z   test_meta_inplace_contiguous_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0782363Z   test_meta_inplace_contiguous_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0782520Z   test_meta_inplace_contiguous_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0782684Z   test_meta_inplace_copysign_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0782847Z   test_meta_inplace_copysign_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0783074Z   test_meta_inplace_copysign_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0783232Z   test_meta_inplace_copysign_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0783416Z   test_meta_inplace_copysign_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0783579Z   test_meta_inplace_copysign_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0783722Z   test_meta_inplace_copysign_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0783876Z   test_meta_inplace_copysign_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0784036Z   test_meta_inplace_copysign_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0784191Z   test_meta_inplace_copysign_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0784358Z   test_meta_inplace_corrcoef_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0784614Z   test_meta_inplace_corrcoef_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0784787Z   test_meta_inplace_corrcoef_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0784948Z   test_meta_inplace_corrcoef_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0785107Z   test_meta_inplace_corrcoef_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0785256Z   test_meta_inplace_corrcoef_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0785412Z   test_meta_inplace_corrcoef_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0785566Z   test_meta_inplace_corrcoef_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0785727Z   test_meta_inplace_corrcoef_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0785883Z   test_meta_inplace_corrcoef_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0786044Z   test_meta_inplace_cos_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0786200Z   test_meta_inplace_cos_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0786359Z   test_meta_inplace_cos_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0786516Z   test_meta_inplace_cos_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0786661Z   test_meta_inplace_cos_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0786817Z   test_meta_inplace_cos_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0786972Z   test_meta_inplace_cos_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0787127Z   test_meta_inplace_cos_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0787284Z   test_meta_inplace_cos_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0787439Z   test_meta_inplace_cos_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0787589Z   test_meta_inplace_cos_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0787746Z   test_meta_inplace_cosh_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0787898Z   test_meta_inplace_cosh_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0788050Z   test_meta_inplace_cosh_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0788247Z   test_meta_inplace_cosh_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0788404Z   test_meta_inplace_cosh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0788586Z   test_meta_inplace_cosh_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0788744Z   test_meta_inplace_cosh_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0788900Z   test_meta_inplace_cosh_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0789055Z   test_meta_inplace_cosh_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0789211Z   test_meta_inplace_cosh_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0789351Z   test_meta_inplace_cosh_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0789525Z   test_meta_inplace_count_nonzero_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0789688Z   test_meta_inplace_count_nonzero_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0789865Z   test_meta_inplace_count_nonzero_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0790036Z   test_meta_inplace_count_nonzero_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0790203Z   test_meta_inplace_count_nonzero_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0790369Z   test_meta_inplace_count_nonzero_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0790532Z   test_meta_inplace_count_nonzero_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0790699Z   test_meta_inplace_count_nonzero_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0790853Z   test_meta_inplace_count_nonzero_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0791018Z   test_meta_inplace_count_nonzero_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0791184Z   test_meta_inplace_count_nonzero_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0791347Z   test_meta_inplace_count_nonzero_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0791508Z   test_meta_inplace_cov_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0791670Z   test_meta_inplace_cov_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0791830Z   test_meta_inplace_cov_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0791987Z   test_meta_inplace_cov_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0792145Z   test_meta_inplace_cov_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0792285Z   test_meta_inplace_cov_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0792438Z   test_meta_inplace_cov_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0792588Z   test_meta_inplace_cov_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0792741Z   test_meta_inplace_cov_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0792892Z   test_meta_inplace_cov_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0793052Z   test_meta_inplace_cross_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0793215Z   test_meta_inplace_cross_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0793403Z   test_meta_inplace_cross_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0793585Z   test_meta_inplace_cross_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0793727Z   test_meta_inplace_cross_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0793883Z   test_meta_inplace_cross_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0794036Z   test_meta_inplace_cross_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0794191Z   test_meta_inplace_cross_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0794347Z   test_meta_inplace_cross_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0794500Z   test_meta_inplace_cross_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0794666Z   test_meta_inplace_cummax_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0794820Z   test_meta_inplace_cummax_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0794984Z   test_meta_inplace_cummax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0795127Z   test_meta_inplace_cummax_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0795285Z   test_meta_inplace_cummax_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0795442Z   test_meta_inplace_cummax_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0795597Z   test_meta_inplace_cummax_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0795753Z   test_meta_inplace_cummax_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0795911Z   test_meta_inplace_cummax_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0796073Z   test_meta_inplace_cummin_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0796233Z   test_meta_inplace_cummin_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.005s)
2022-11-23T01:34:00.0796379Z   test_meta_inplace_cummin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0796538Z   test_meta_inplace_cummin_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0796692Z   test_meta_inplace_cummin_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0796849Z   test_meta_inplace_cummin_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0797001Z   test_meta_inplace_cummin_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0797297Z   test_meta_inplace_cummin_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0797463Z   test_meta_inplace_cummin_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0797631Z   test_meta_inplace_cumprod_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0797798Z   test_meta_inplace_cumprod_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0797952Z   test_meta_inplace_cumprod_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0798117Z   test_meta_inplace_cumprod_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0798274Z   test_meta_inplace_cumprod_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0798435Z   test_meta_inplace_cumprod_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0798665Z   test_meta_inplace_cumprod_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0798855Z   test_meta_inplace_cumprod_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0799014Z   test_meta_inplace_cumprod_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0799173Z   test_meta_inplace_cumprod_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0799334Z   test_meta_inplace_cumsum_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0799484Z   test_meta_inplace_cumsum_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0799648Z   test_meta_inplace_cumsum_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0799809Z   test_meta_inplace_cumsum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0799967Z   test_meta_inplace_cumsum_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0800126Z   test_meta_inplace_cumsum_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0800282Z   test_meta_inplace_cumsum_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0800438Z   test_meta_inplace_cumsum_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0800599Z   test_meta_inplace_cumsum_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0800756Z   test_meta_inplace_cumsum_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0800923Z   test_meta_inplace_cumulative_trapezoid_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0801105Z   test_meta_inplace_cumulative_trapezoid_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0801284Z   test_meta_inplace_cumulative_trapezoid_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0801462Z   test_meta_inplace_cumulative_trapezoid_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0801643Z   test_meta_inplace_cumulative_trapezoid_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0801818Z   test_meta_inplace_cumulative_trapezoid_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0801995Z   test_meta_inplace_cumulative_trapezoid_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0802171Z   test_meta_inplace_cumulative_trapezoid_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0802347Z   test_meta_inplace_cumulative_trapezoid_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0802511Z   test_meta_inplace_cumulative_trapezoid_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0802680Z   test_meta_inplace_deg2rad_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0802837Z   test_meta_inplace_deg2rad_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0803002Z   test_meta_inplace_deg2rad_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0803162Z   test_meta_inplace_deg2rad_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0803320Z   test_meta_inplace_deg2rad_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0803478Z   test_meta_inplace_deg2rad_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0803664Z   test_meta_inplace_deg2rad_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0803816Z   test_meta_inplace_deg2rad_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0803985Z   test_meta_inplace_deg2rad_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0804147Z   test_meta_inplace_deg2rad_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0804306Z   test_meta_inplace_diag_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0804459Z   test_meta_inplace_diag_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0804624Z   test_meta_inplace_diag_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0804786Z   test_meta_inplace_diag_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0804945Z   test_meta_inplace_diag_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0805102Z   test_meta_inplace_diag_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0805263Z   test_meta_inplace_diag_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0805407Z   test_meta_inplace_diag_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0805564Z   test_meta_inplace_diag_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0805723Z   test_meta_inplace_diag_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0805879Z   test_meta_inplace_diag_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0806033Z   test_meta_inplace_diag_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0806203Z   test_meta_inplace_diag_embed_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0806367Z   test_meta_inplace_diag_embed_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0806539Z   test_meta_inplace_diag_embed_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0806708Z   test_meta_inplace_diag_embed_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0806866Z   test_meta_inplace_diag_embed_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0807030Z   test_meta_inplace_diag_embed_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0807198Z   test_meta_inplace_diag_embed_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0807363Z   test_meta_inplace_diag_embed_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0807528Z   test_meta_inplace_diag_embed_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0807685Z   test_meta_inplace_diag_embed_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0807842Z   test_meta_inplace_diag_embed_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0808006Z   test_meta_inplace_diag_embed_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0808166Z   test_meta_inplace_diag_embed_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0808318Z   test_meta_inplace_diagflat_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0808479Z   test_meta_inplace_diagflat_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0808647Z   test_meta_inplace_diagflat_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0808846Z   test_meta_inplace_diagflat_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0809009Z   test_meta_inplace_diagflat_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0809195Z   test_meta_inplace_diagflat_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0809350Z   test_meta_inplace_diagflat_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0809510Z   test_meta_inplace_diagflat_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0809652Z   test_meta_inplace_diagflat_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0809804Z   test_meta_inplace_diagflat_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0809962Z   test_meta_inplace_diagflat_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0810119Z   test_meta_inplace_diagflat_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0810291Z   test_meta_inplace_diagonal_copy_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0810461Z   test_meta_inplace_diagonal_copy_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0810637Z   test_meta_inplace_diagonal_copy_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0810813Z   test_meta_inplace_diagonal_copy_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0810988Z   test_meta_inplace_diagonal_copy_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0811146Z   test_meta_inplace_diagonal_copy_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0811320Z   test_meta_inplace_diagonal_copy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0811487Z   test_meta_inplace_diagonal_copy_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0811657Z   test_meta_inplace_diagonal_copy_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0811826Z   test_meta_inplace_diagonal_copy_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0811993Z   test_meta_inplace_diagonal_copy_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0812160Z   test_meta_inplace_diagonal_copy_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0812327Z   test_meta_inplace_diagonal_copy_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0812493Z   test_meta_inplace_diagonal_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0812644Z   test_meta_inplace_diagonal_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0812812Z   test_meta_inplace_diagonal_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0812981Z   test_meta_inplace_diagonal_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0813149Z   test_meta_inplace_diagonal_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0813312Z   test_meta_inplace_diagonal_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0813473Z   test_meta_inplace_diagonal_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0813630Z   test_meta_inplace_diagonal_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0813792Z   test_meta_inplace_diagonal_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0813978Z   test_meta_inplace_diagonal_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0814119Z   test_meta_inplace_diagonal_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0814308Z   test_meta_inplace_diagonal_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0814466Z   test_meta_inplace_diagonal_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0814642Z   test_meta_inplace_diagonal_scatter_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0814814Z   test_meta_inplace_diagonal_scatter_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0814990Z   test_meta_inplace_diagonal_scatter_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0815163Z   test_meta_inplace_diagonal_scatter_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0815334Z   test_meta_inplace_diagonal_scatter_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0815509Z   test_meta_inplace_diagonal_scatter_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0815667Z   test_meta_inplace_diagonal_scatter_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0815837Z   test_meta_inplace_diagonal_scatter_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0816007Z   test_meta_inplace_diagonal_scatter_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0816179Z   test_meta_inplace_diagonal_scatter_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0816339Z   test_meta_inplace_diff_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0816499Z   test_meta_inplace_diff_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0816663Z   test_meta_inplace_diff_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0816825Z   test_meta_inplace_diff_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0816983Z   test_meta_inplace_diff_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0817129Z   test_meta_inplace_diff_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0817289Z   test_meta_inplace_diff_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0817446Z   test_meta_inplace_diff_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0817601Z   test_meta_inplace_diff_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0817759Z   test_meta_inplace_diff_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0817916Z   test_meta_inplace_diff_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0818073Z   test_meta_inplace_diff_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0818241Z   test_meta_inplace_digamma_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0818400Z   test_meta_inplace_digamma_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0818553Z   test_meta_inplace_digamma_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0818714Z   test_meta_inplace_digamma_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0818875Z   test_meta_inplace_digamma_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0819059Z   test_meta_inplace_digamma_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0819211Z   test_meta_inplace_digamma_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0819395Z   test_meta_inplace_digamma_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0819555Z   test_meta_inplace_digamma_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0819710Z   test_meta_inplace_dist_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0819873Z   test_meta_inplace_dist_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0820019Z   test_meta_inplace_dist_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0820175Z   test_meta_inplace_dist_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0820333Z   test_meta_inplace_dist_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0820489Z   test_meta_inplace_dist_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0820667Z   test_meta_inplace_div_floor_rounding_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0820843Z   test_meta_inplace_div_floor_rounding_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0821018Z   test_meta_inplace_div_floor_rounding_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0821191Z   test_meta_inplace_div_floor_rounding_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0821362Z   test_meta_inplace_div_floor_rounding_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
2022-11-23T01:34:00.0821519Z   test_meta_inplace_div_floor_rounding_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0821686Z   test_meta_inplace_div_floor_rounding_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0821860Z   test_meta_inplace_div_floor_rounding_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0822026Z   test_meta_inplace_div_floor_rounding_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0822202Z   test_meta_inplace_div_no_rounding_mode_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0822374Z   test_meta_inplace_div_no_rounding_mode_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0822554Z   test_meta_inplace_div_no_rounding_mode_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0822731Z   test_meta_inplace_div_no_rounding_mode_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0822908Z   test_meta_inplace_div_no_rounding_mode_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0823072Z   test_meta_inplace_div_no_rounding_mode_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0823243Z   test_meta_inplace_div_no_rounding_mode_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0823414Z   test_meta_inplace_div_no_rounding_mode_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0823587Z   test_meta_inplace_div_no_rounding_mode_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0823763Z   test_meta_inplace_div_no_rounding_mode_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0823935Z   test_meta_inplace_div_no_rounding_mode_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0824133Z   test_meta_inplace_div_no_rounding_mode_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0824308Z   test_meta_inplace_div_trunc_rounding_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0824603Z   test_meta_inplace_div_trunc_rounding_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0824780Z   test_meta_inplace_div_trunc_rounding_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0824937Z   test_meta_inplace_div_trunc_rounding_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0825108Z   test_meta_inplace_div_trunc_rounding_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0825278Z   test_meta_inplace_div_trunc_rounding_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0825446Z   test_meta_inplace_div_trunc_rounding_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0825618Z   test_meta_inplace_div_trunc_rounding_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0825786Z   test_meta_inplace_div_trunc_rounding_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0825946Z   test_meta_inplace_dot_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0826109Z   test_meta_inplace_dot_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0826269Z   test_meta_inplace_dot_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0826415Z   test_meta_inplace_dot_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0826572Z   test_meta_inplace_dot_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0826729Z   test_meta_inplace_dot_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0826880Z   test_meta_inplace_dot_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0827036Z   test_meta_inplace_dot_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0827188Z   test_meta_inplace_dot_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0827338Z   test_meta_inplace_dot_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0827503Z   test_meta_inplace_double_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0827648Z   test_meta_inplace_double_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0827813Z   test_meta_inplace_double_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0827981Z   test_meta_inplace_double_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0828140Z   test_meta_inplace_double_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0828302Z   test_meta_inplace_double_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0828458Z   test_meta_inplace_double_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0828611Z   test_meta_inplace_double_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0828768Z   test_meta_inplace_double_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0828924Z   test_meta_inplace_double_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0829067Z   test_meta_inplace_double_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0829251Z   test_meta_inplace_double_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0829407Z   test_meta_inplace_double_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0829597Z   test_meta_inplace_dsplit_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0829757Z   test_meta_inplace_dsplit_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0829922Z   test_meta_inplace_dsplit_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0830086Z   test_meta_inplace_dsplit_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0830245Z   test_meta_inplace_dsplit_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0830407Z   test_meta_inplace_dsplit_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0830554Z   test_meta_inplace_dsplit_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0830708Z   test_meta_inplace_dsplit_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0830867Z   test_meta_inplace_dsplit_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0831021Z   test_meta_inplace_dsplit_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0831176Z   test_meta_inplace_dsplit_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0831332Z   test_meta_inplace_dsplit_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0831488Z   test_meta_inplace_dsplit_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0831654Z   test_meta_inplace_dstack_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0831815Z   test_meta_inplace_dstack_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0831971Z   test_meta_inplace_dstack_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0832137Z   test_meta_inplace_dstack_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0832299Z   test_meta_inplace_dstack_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0832460Z   test_meta_inplace_dstack_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0832617Z   test_meta_inplace_dstack_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0832771Z   test_meta_inplace_dstack_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0832927Z   test_meta_inplace_dstack_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0833086Z   test_meta_inplace_dstack_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0833241Z   test_meta_inplace_dstack_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0833389Z   test_meta_inplace_dstack_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0833543Z   test_meta_inplace_dstack_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0833708Z   test_meta_inplace_einsum_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0833873Z   test_meta_inplace_einsum_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0834034Z   test_meta_inplace_einsum_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0834190Z   test_meta_inplace_einsum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0834387Z   test_meta_inplace_einsum_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0834540Z   test_meta_inplace_einsum_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0834722Z   test_meta_inplace_einsum_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0834865Z   test_meta_inplace_einsum_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0835021Z   test_meta_inplace_einsum_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0835173Z   test_meta_inplace_einsum_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0835333Z   test_meta_inplace_empty_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0835490Z   test_meta_inplace_empty_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0835654Z   test_meta_inplace_empty_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0835817Z   test_meta_inplace_empty_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0835976Z   test_meta_inplace_empty_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0836123Z   test_meta_inplace_empty_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0836277Z   test_meta_inplace_empty_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0836427Z   test_meta_inplace_empty_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0836582Z   test_meta_inplace_empty_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0836737Z   test_meta_inplace_empty_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0836893Z   test_meta_inplace_empty_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0837050Z   test_meta_inplace_empty_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0837359Z   test_meta_inplace_empty_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0837547Z   test_meta_inplace_empty_like_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0837697Z   test_meta_inplace_empty_like_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0837867Z   test_meta_inplace_empty_like_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0838038Z   test_meta_inplace_empty_like_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0838208Z   test_meta_inplace_empty_like_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0838375Z   test_meta_inplace_empty_like_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0838542Z   test_meta_inplace_empty_like_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0838707Z   test_meta_inplace_empty_like_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0838869Z   test_meta_inplace_empty_like_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0839029Z   test_meta_inplace_empty_like_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0839174Z   test_meta_inplace_empty_like_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0839337Z   test_meta_inplace_empty_like_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0839494Z   test_meta_inplace_empty_like_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0839701Z   test_meta_inplace_eq_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0839853Z   test_meta_inplace_eq_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0840045Z   test_meta_inplace_eq_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0840203Z   test_meta_inplace_eq_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0840362Z   test_meta_inplace_eq_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0840518Z   test_meta_inplace_eq_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0840659Z   test_meta_inplace_eq_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0840814Z   test_meta_inplace_eq_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0840968Z   test_meta_inplace_eq_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0841121Z   test_meta_inplace_eq_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0841273Z   test_meta_inplace_eq_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0841426Z   test_meta_inplace_eq_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0841575Z   test_meta_inplace_eq_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0841735Z   test_meta_inplace_equal_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0841877Z   test_meta_inplace_equal_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0842039Z   test_meta_inplace_equal_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0842205Z   test_meta_inplace_equal_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0842364Z   test_meta_inplace_equal_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0842519Z   test_meta_inplace_equal_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0842671Z   test_meta_inplace_equal_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0842825Z   test_meta_inplace_equal_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0842981Z   test_meta_inplace_equal_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0843135Z   test_meta_inplace_equal_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0843277Z   test_meta_inplace_equal_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0843433Z   test_meta_inplace_equal_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0843591Z   test_meta_inplace_erf_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0843745Z   test_meta_inplace_erf_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0843897Z   test_meta_inplace_erf_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0844051Z   test_meta_inplace_erf_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0844207Z   test_meta_inplace_erf_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0844358Z   test_meta_inplace_erf_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0844511Z   test_meta_inplace_erf_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0844683Z   test_meta_inplace_erf_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0844835Z   test_meta_inplace_erf_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0845020Z   test_meta_inplace_erfc_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0845172Z   test_meta_inplace_erfc_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0845329Z   test_meta_inplace_erfc_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0845486Z   test_meta_inplace_erfc_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0845639Z   test_meta_inplace_erfc_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0845791Z   test_meta_inplace_erfc_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0845944Z   test_meta_inplace_erfc_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0846087Z   test_meta_inplace_erfc_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
2022-11-23T01:34:00.0846242Z   test_meta_inplace_erfc_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0846405Z   test_meta_inplace_erfinv_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0846562Z   test_meta_inplace_erfinv_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0846723Z   test_meta_inplace_erfinv_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0846882Z   test_meta_inplace_erfinv_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0847038Z   test_meta_inplace_erfinv_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0847195Z   test_meta_inplace_erfinv_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0847342Z   test_meta_inplace_erfinv_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0847498Z   test_meta_inplace_erfinv_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0847652Z   test_meta_inplace_erfinv_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0847811Z   test_meta_inplace_exp2_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0847965Z   test_meta_inplace_exp2_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0848120Z   test_meta_inplace_exp2_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0848278Z   test_meta_inplace_exp2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0848432Z   test_meta_inplace_exp2_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0848588Z   test_meta_inplace_exp2_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0848728Z   test_meta_inplace_exp2_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0848882Z   test_meta_inplace_exp2_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0849036Z   test_meta_inplace_exp2_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0849188Z   test_meta_inplace_exp2_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0849344Z   test_meta_inplace_exp_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0849496Z   test_meta_inplace_exp_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0849658Z   test_meta_inplace_exp_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0849847Z   test_meta_inplace_exp_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0850003Z   test_meta_inplace_exp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0850174Z   test_meta_inplace_exp_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0850326Z   test_meta_inplace_exp_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0850478Z   test_meta_inplace_exp_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0850630Z   test_meta_inplace_exp_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0850784Z   test_meta_inplace_exp_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0850935Z   test_meta_inplace_exp_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0851105Z   test_meta_inplace_expand_as_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0851266Z   test_meta_inplace_expand_as_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0851423Z   test_meta_inplace_expand_as_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0851592Z   test_meta_inplace_expand_as_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0851756Z   test_meta_inplace_expand_as_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0851921Z   test_meta_inplace_expand_as_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0852083Z   test_meta_inplace_expand_as_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0852248Z   test_meta_inplace_expand_as_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0852409Z   test_meta_inplace_expand_as_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0852565Z   test_meta_inplace_expand_as_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0852727Z   test_meta_inplace_expand_as_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0852872Z   test_meta_inplace_expand_as_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0853028Z   test_meta_inplace_expand_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0853186Z   test_meta_inplace_expand_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0853349Z   test_meta_inplace_expand_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0853514Z   test_meta_inplace_expand_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0853676Z   test_meta_inplace_expand_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0853832Z   test_meta_inplace_expand_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0853989Z   test_meta_inplace_expand_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0854145Z   test_meta_inplace_expand_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0854291Z   test_meta_inplace_expand_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0854448Z   test_meta_inplace_expand_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0854604Z   test_meta_inplace_expand_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0854759Z   test_meta_inplace_expand_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0854948Z   test_meta_inplace_expm1_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0855102Z   test_meta_inplace_expm1_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0855288Z   test_meta_inplace_expm1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0855443Z   test_meta_inplace_expm1_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0855599Z   test_meta_inplace_expm1_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0855741Z   test_meta_inplace_expm1_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0855896Z   test_meta_inplace_expm1_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0856048Z   test_meta_inplace_expm1_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0856203Z   test_meta_inplace_expm1_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0856355Z   test_meta_inplace_eye_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0856517Z   test_meta_inplace_eye_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0856675Z   test_meta_inplace_eye_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0856830Z   test_meta_inplace_eye_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0856983Z   test_meta_inplace_eye_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0857124Z   test_meta_inplace_eye_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0857279Z   test_meta_inplace_eye_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0857435Z   test_meta_inplace_eye_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0857589Z   test_meta_inplace_eye_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0857744Z   test_meta_inplace_eye_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0857896Z   test_meta_inplace_eye_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0858057Z   test_meta_inplace_fft_fft2_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0858227Z   test_meta_inplace_fft_fft2_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0858379Z   test_meta_inplace_fft_fft2_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0858543Z   test_meta_inplace_fft_fft2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0858708Z   test_meta_inplace_fft_fft2_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0858867Z   test_meta_inplace_fft_fft2_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0859024Z   test_meta_inplace_fft_fft2_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0859177Z   test_meta_inplace_fft_fft2_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0859334Z   test_meta_inplace_fft_fft2_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0859489Z   test_meta_inplace_fft_fft2_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0859646Z   test_meta_inplace_fft_fft_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0859798Z   test_meta_inplace_fft_fft_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0859993Z   test_meta_inplace_fft_fft_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0860156Z   test_meta_inplace_fft_fft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0860387Z   test_meta_inplace_fft_fft_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0860548Z   test_meta_inplace_fft_fft_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0860704Z   test_meta_inplace_fft_fft_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0860857Z   test_meta_inplace_fft_fft_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0861013Z   test_meta_inplace_fft_fft_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0861172Z   test_meta_inplace_fft_fft_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0861316Z   test_meta_inplace_fft_fftn_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0861483Z   test_meta_inplace_fft_fftn_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0861652Z   test_meta_inplace_fft_fftn_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0861814Z   test_meta_inplace_fft_fftn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0861974Z   test_meta_inplace_fft_fftn_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0862134Z   test_meta_inplace_fft_fftn_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0862290Z   test_meta_inplace_fft_fftn_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0862443Z   test_meta_inplace_fft_fftn_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0862602Z   test_meta_inplace_fft_fftn_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0862742Z   test_meta_inplace_fft_fftn_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0862917Z   test_meta_inplace_fft_fftshift_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0863083Z   test_meta_inplace_fft_fftshift_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0863255Z   test_meta_inplace_fft_fftshift_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0863428Z   test_meta_inplace_fft_fftshift_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0863598Z   test_meta_inplace_fft_fftshift_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0863768Z   test_meta_inplace_fft_fftshift_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0863941Z   test_meta_inplace_fft_fftshift_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0864109Z   test_meta_inplace_fft_fftshift_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0864261Z   test_meta_inplace_fft_fftshift_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0864498Z   test_meta_inplace_fft_fftshift_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0864667Z   test_meta_inplace_fft_fftshift_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0864830Z   test_meta_inplace_fft_fftshift_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0864993Z   test_meta_inplace_fft_fftshift_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0865188Z   test_meta_inplace_fft_hfft2_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0865355Z   test_meta_inplace_fft_hfft2_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0876961Z   test_meta_inplace_fft_ihfft2_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0878071Z   test_meta_inplace_fft_ihfft2_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0878391Z   test_meta_inplace_fft_ihfft_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0878553Z   test_meta_inplace_fft_ihfft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0878861Z   test_meta_inplace_fft_ihfft_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0879332Z   test_meta_inplace_fft_ihfft_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0879487Z   test_meta_inplace_fft_ihfft_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0879641Z   test_meta_inplace_fft_ihfftn_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0880824Z   test_meta_inplace_fft_ihfftn_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0880983Z   test_meta_inplace_fft_irfft2_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0881482Z   test_meta_inplace_fft_irfft2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0881790Z   test_meta_inplace_fft_irfft2_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0881946Z   test_meta_inplace_fft_irfft2_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0882100Z   test_meta_inplace_fft_irfft2_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0882261Z   test_meta_inplace_fft_irfft2_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0882573Z   test_meta_inplace_fft_irfft_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0882740Z   test_meta_inplace_fft_irfft_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0882907Z   test_meta_inplace_fft_irfft_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0883070Z   test_meta_inplace_fft_irfft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0883381Z   test_meta_inplace_fft_irfft_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0883536Z   test_meta_inplace_fft_irfft_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0883689Z   test_meta_inplace_fft_irfft_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0883847Z   test_meta_inplace_fft_irfft_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0885810Z   test_meta_inplace_fft_rfft2_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0886744Z   test_meta_inplace_fft_rfft2_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0887056Z   test_meta_inplace_fft_rfft_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0887215Z   test_meta_inplace_fft_rfft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0887358Z   test_meta_inplace_fft_rfft_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0887515Z   test_meta_inplace_fft_rfft_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0887665Z   test_meta_inplace_fft_rfft_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0887819Z   test_meta_inplace_fft_rfft_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0887974Z   test_meta_inplace_fft_rfft_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0888128Z   test_meta_inplace_fft_rfft_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0888279Z   test_meta_inplace_fft_rfftn_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0888440Z   test_meta_inplace_fft_rfftn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0888603Z   test_meta_inplace_fft_rfftn_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0888748Z   test_meta_inplace_fft_rfftn_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0888902Z   test_meta_inplace_fft_rfftn_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0889058Z   test_meta_inplace_fft_rfftn_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0889219Z   test_meta_inplace_fft_rfftn_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0889374Z   test_meta_inplace_fft_rfftn_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0889533Z   test_meta_inplace_fill_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0889689Z   test_meta_inplace_fill_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0889850Z   test_meta_inplace_fill_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0890011Z   test_meta_inplace_fill_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0890155Z   test_meta_inplace_fill_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0890344Z   test_meta_inplace_fill_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0890500Z   test_meta_inplace_fill_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0890682Z   test_meta_inplace_fill_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0890837Z   test_meta_inplace_fill_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0890991Z   test_meta_inplace_fill_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0891147Z   test_meta_inplace_fill_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0891300Z   test_meta_inplace_fill_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0891453Z   test_meta_inplace_fill_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0891609Z   test_meta_inplace_flatten_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0891766Z   test_meta_inplace_flatten_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0891936Z   test_meta_inplace_flatten_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0892099Z   test_meta_inplace_flatten_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0892265Z   test_meta_inplace_flatten_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0892427Z   test_meta_inplace_flatten_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0892586Z   test_meta_inplace_flatten_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0892740Z   test_meta_inplace_flatten_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0892901Z   test_meta_inplace_flatten_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0893043Z   test_meta_inplace_flatten_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0893197Z   test_meta_inplace_flatten_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0893353Z   test_meta_inplace_flatten_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0893511Z   test_meta_inplace_flatten_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0893668Z   test_meta_inplace_flip_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0893820Z   test_meta_inplace_flip_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0893982Z   test_meta_inplace_flip_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0894145Z   test_meta_inplace_flip_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0894289Z   test_meta_inplace_flip_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0894447Z   test_meta_inplace_flip_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0894601Z   test_meta_inplace_flip_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0894755Z   test_meta_inplace_flip_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0894909Z   test_meta_inplace_flip_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0895066Z   test_meta_inplace_flip_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.003s)
2022-11-23T01:34:00.0895221Z   test_meta_inplace_flip_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0895407Z   test_meta_inplace_flip_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0895569Z   test_meta_inplace_fliplr_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0895744Z   test_meta_inplace_fliplr_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0895908Z   test_meta_inplace_fliplr_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0896071Z   test_meta_inplace_fliplr_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0896229Z   test_meta_inplace_fliplr_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0896403Z   test_meta_inplace_fliplr_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0896559Z   test_meta_inplace_fliplr_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0896720Z   test_meta_inplace_fliplr_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0896907Z   test_meta_inplace_fliplr_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0897064Z   test_meta_inplace_fliplr_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0897210Z   test_meta_inplace_fliplr_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0897364Z   test_meta_inplace_fliplr_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0897526Z   test_meta_inplace_flipud_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0897683Z   test_meta_inplace_flipud_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0897850Z   test_meta_inplace_flipud_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0898014Z   test_meta_inplace_flipud_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0898174Z   test_meta_inplace_flipud_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0898333Z   test_meta_inplace_flipud_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0898487Z   test_meta_inplace_flipud_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0898630Z   test_meta_inplace_flipud_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0898787Z   test_meta_inplace_flipud_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0898945Z   test_meta_inplace_flipud_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0899101Z   test_meta_inplace_flipud_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0899260Z   test_meta_inplace_flipud_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0899421Z   test_meta_inplace_float_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0899579Z   test_meta_inplace_float_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0899745Z   test_meta_inplace_float_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0899908Z   test_meta_inplace_float_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0900053Z   test_meta_inplace_float_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0900211Z   test_meta_inplace_float_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0900365Z   test_meta_inplace_float_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0900544Z   test_meta_inplace_float_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0900703Z   test_meta_inplace_float_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0900885Z   test_meta_inplace_float_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0901041Z   test_meta_inplace_float_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0901194Z   test_meta_inplace_float_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0901336Z   test_meta_inplace_float_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0901503Z   test_meta_inplace_float_power_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0901662Z   test_meta_inplace_float_power_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0901833Z   test_meta_inplace_float_power_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0902002Z   test_meta_inplace_float_power_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0902168Z   test_meta_inplace_float_power_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0902335Z   test_meta_inplace_float_power_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0902499Z   test_meta_inplace_float_power_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0902663Z   test_meta_inplace_float_power_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0902812Z   test_meta_inplace_float_power_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0902973Z   test_meta_inplace_float_power_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0903139Z   test_meta_inplace_float_power_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0903299Z   test_meta_inplace_float_power_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0903462Z   test_meta_inplace_floor_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0903621Z   test_meta_inplace_floor_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0903776Z   test_meta_inplace_floor_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0903934Z   test_meta_inplace_floor_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0904090Z   test_meta_inplace_floor_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0904233Z   test_meta_inplace_floor_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0904464Z   test_meta_inplace_floor_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0904622Z   test_meta_inplace_floor_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0904795Z   test_meta_inplace_floor_divide_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0904963Z   test_meta_inplace_floor_divide_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0905133Z   test_meta_inplace_floor_divide_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0905300Z   test_meta_inplace_floor_divide_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0905470Z   test_meta_inplace_floor_divide_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0905636Z   test_meta_inplace_floor_divide_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0905837Z   test_meta_inplace_floor_divide_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0906029Z   test_meta_inplace_floor_divide_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0906195Z   test_meta_inplace_floor_divide_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0906356Z   test_meta_inplace_fmax_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0906513Z   test_meta_inplace_fmax_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0906672Z   test_meta_inplace_fmax_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0906833Z   test_meta_inplace_fmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0906992Z   test_meta_inplace_fmax_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0907148Z   test_meta_inplace_fmax_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0907293Z   test_meta_inplace_fmax_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0907450Z   test_meta_inplace_fmax_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.0907604Z   test_meta_inplace_fmax_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0907759Z   test_meta_inplace_fmax_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0907921Z   test_meta_inplace_fmin_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0908074Z   test_meta_inplace_fmin_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0908231Z   test_meta_inplace_fmin_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0908391Z   test_meta_inplace_fmin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0908554Z   test_meta_inplace_fmin_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0908695Z   test_meta_inplace_fmin_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0908850Z   test_meta_inplace_fmin_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0909005Z   test_meta_inplace_fmin_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0909158Z   test_meta_inplace_fmin_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0909311Z   test_meta_inplace_fmin_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0909472Z   test_meta_inplace_fmod_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0909631Z   test_meta_inplace_fmod_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0909786Z   test_meta_inplace_fmod_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0909933Z   test_meta_inplace_fmod_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0910085Z   test_meta_inplace_fmod_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0910239Z   test_meta_inplace_fmod_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0910393Z   test_meta_inplace_fmod_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0910547Z   test_meta_inplace_fmod_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0910701Z   test_meta_inplace_fmod_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0910891Z   test_meta_inplace_frac_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0911048Z   test_meta_inplace_frac_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0911241Z   test_meta_inplace_frac_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0911385Z   test_meta_inplace_frac_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0911548Z   test_meta_inplace_frexp_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0911706Z   test_meta_inplace_frexp_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0911863Z   test_meta_inplace_frexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0912018Z   test_meta_inplace_frexp_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0912174Z   test_meta_inplace_full_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0912326Z   test_meta_inplace_full_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0912495Z   test_meta_inplace_full_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0912656Z   test_meta_inplace_full_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0912800Z   test_meta_inplace_full_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0912953Z   test_meta_inplace_full_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0913107Z   test_meta_inplace_full_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0913260Z   test_meta_inplace_full_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0913415Z   test_meta_inplace_full_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0913568Z   test_meta_inplace_full_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0913723Z   test_meta_inplace_full_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0913876Z   test_meta_inplace_full_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0914026Z   test_meta_inplace_full_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0914178Z   test_meta_inplace_full_like_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0914336Z   test_meta_inplace_full_like_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0914503Z   test_meta_inplace_full_like_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0914673Z   test_meta_inplace_full_like_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0914835Z   test_meta_inplace_full_like_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0915000Z   test_meta_inplace_full_like_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0915162Z   test_meta_inplace_full_like_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0915320Z   test_meta_inplace_full_like_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0915465Z   test_meta_inplace_full_like_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0915621Z   test_meta_inplace_full_like_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0915778Z   test_meta_inplace_full_like_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0915965Z   test_meta_inplace_full_like_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0916121Z   test_meta_inplace_gather_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0916306Z   test_meta_inplace_gather_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0916471Z   test_meta_inplace_gather_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0916634Z   test_meta_inplace_gather_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0916793Z   test_meta_inplace_gather_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0916938Z   test_meta_inplace_gather_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0917090Z   test_meta_inplace_gather_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0917436Z   test_meta_inplace_gather_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0917600Z   test_meta_inplace_gather_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0917760Z   test_meta_inplace_gather_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0917920Z   test_meta_inplace_gather_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0918076Z   test_meta_inplace_gather_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0918232Z   test_meta_inplace_gcd_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0918389Z   test_meta_inplace_gcd_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0918531Z   test_meta_inplace_gcd_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0918688Z   test_meta_inplace_gcd_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0918842Z   test_meta_inplace_gcd_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0919001Z   test_meta_inplace_ge_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0919155Z   test_meta_inplace_ge_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0919311Z   test_meta_inplace_ge_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0919468Z   test_meta_inplace_ge_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0919623Z   test_meta_inplace_ge_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.003s)
2022-11-23T01:34:00.0919776Z   test_meta_inplace_ge_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0919917Z   test_meta_inplace_ge_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0920067Z   test_meta_inplace_ge_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0920221Z   test_meta_inplace_ge_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0920368Z   test_meta_inplace_ge_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0920532Z   test_meta_inplace_geqrf_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0920693Z   test_meta_inplace_geqrf_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0920853Z   test_meta_inplace_geqrf_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0921007Z   test_meta_inplace_geqrf_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0921215Z   test_meta_inplace_gradient_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0921385Z   test_meta_inplace_gradient_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0921590Z   test_meta_inplace_gradient_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0921758Z   test_meta_inplace_gradient_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0921919Z   test_meta_inplace_gradient_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0922076Z   test_meta_inplace_gradient_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0922239Z   test_meta_inplace_gradient_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0922395Z   test_meta_inplace_gradient_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0922552Z   test_meta_inplace_gradient_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0922699Z   test_meta_inplace_gradient_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0922873Z   test_meta_inplace_grid_sampler_2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0923045Z   test_meta_inplace_grid_sampler_2d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0923200Z   test_meta_inplace_gt_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0923353Z   test_meta_inplace_gt_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0923507Z   test_meta_inplace_gt_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0923662Z   test_meta_inplace_gt_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0923819Z   test_meta_inplace_gt_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0923973Z   test_meta_inplace_gt_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0924113Z   test_meta_inplace_gt_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0924261Z   test_meta_inplace_gt_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0924412Z   test_meta_inplace_gt_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0924559Z   test_meta_inplace_gt_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0924719Z   test_meta_inplace_half_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0924874Z   test_meta_inplace_half_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0925040Z   test_meta_inplace_half_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0925201Z   test_meta_inplace_half_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0925359Z   test_meta_inplace_half_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0925504Z   test_meta_inplace_half_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0925659Z   test_meta_inplace_half_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0925813Z   test_meta_inplace_half_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0925966Z   test_meta_inplace_half_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0926121Z   test_meta_inplace_half_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0926304Z   test_meta_inplace_half_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0926455Z   test_meta_inplace_half_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0926649Z   test_meta_inplace_heaviside_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0926802Z   test_meta_inplace_heaviside_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0926969Z   test_meta_inplace_heaviside_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0927133Z   test_meta_inplace_heaviside_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0927300Z   test_meta_inplace_heaviside_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0927462Z   test_meta_inplace_heaviside_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0927622Z   test_meta_inplace_heaviside_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0927779Z   test_meta_inplace_heaviside_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0927941Z   test_meta_inplace_heaviside_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0928103Z   test_meta_inplace_heaviside_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0928252Z   test_meta_inplace_histc_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0928412Z   test_meta_inplace_histc_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0928565Z   test_meta_inplace_histc_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0928729Z   test_meta_inplace_histogram_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0928896Z   test_meta_inplace_histogram_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0929064Z   test_meta_inplace_histogramdd_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0929233Z   test_meta_inplace_histogramdd_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0929394Z   test_meta_inplace_hsplit_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0929551Z   test_meta_inplace_hsplit_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0929704Z   test_meta_inplace_hsplit_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0929869Z   test_meta_inplace_hsplit_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0930027Z   test_meta_inplace_hsplit_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0930189Z   test_meta_inplace_hsplit_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0930344Z   test_meta_inplace_hsplit_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0930500Z   test_meta_inplace_hsplit_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0930657Z   test_meta_inplace_hsplit_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0930812Z   test_meta_inplace_hsplit_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0930968Z   test_meta_inplace_hsplit_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0931113Z   test_meta_inplace_hsplit_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0931268Z   test_meta_inplace_hsplit_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0931458Z   test_meta_inplace_hstack_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0931614Z   test_meta_inplace_hstack_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0931808Z   test_meta_inplace_hstack_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0931972Z   test_meta_inplace_hstack_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0932131Z   test_meta_inplace_hstack_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0932292Z   test_meta_inplace_hstack_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0932446Z   test_meta_inplace_hstack_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0932587Z   test_meta_inplace_hstack_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0932747Z   test_meta_inplace_hstack_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0932902Z   test_meta_inplace_hstack_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0933062Z   test_meta_inplace_hstack_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0933219Z   test_meta_inplace_hstack_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0933373Z   test_meta_inplace_hstack_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0933534Z   test_meta_inplace_hypot_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0933694Z   test_meta_inplace_hypot_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0933848Z   test_meta_inplace_hypot_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0933993Z   test_meta_inplace_i0_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0934144Z   test_meta_inplace_i0_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0934299Z   test_meta_inplace_i0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0934452Z   test_meta_inplace_i0_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0934602Z   test_meta_inplace_i0_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0934753Z   test_meta_inplace_i0_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0934898Z   test_meta_inplace_i0_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0935047Z   test_meta_inplace_i0_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0935182Z   test_meta_inplace_i0_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0935344Z   test_meta_inplace_igamma_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0935503Z   test_meta_inplace_igamma_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0935658Z   test_meta_inplace_igamma_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0935811Z   test_meta_inplace_igamma_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0935973Z   test_meta_inplace_igammac_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0936133Z   test_meta_inplace_igammac_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0936288Z   test_meta_inplace_igammac_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0936473Z   test_meta_inplace_igammac_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0936617Z   test_meta_inplace_imag_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0936798Z   test_meta_inplace_imag_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0936954Z   test_meta_inplace_imag_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0937118Z   test_meta_inplace_index_add_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0937279Z   test_meta_inplace_index_add_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0937449Z   test_meta_inplace_index_add_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0937618Z   test_meta_inplace_index_add_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0937787Z   test_meta_inplace_index_add_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0937951Z   test_meta_inplace_index_add_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0938105Z   test_meta_inplace_index_add_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0938269Z   test_meta_inplace_index_add_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0938433Z   test_meta_inplace_index_add_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0938592Z   test_meta_inplace_index_add_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0938748Z   test_meta_inplace_index_add_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0938907Z   test_meta_inplace_index_add_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0939064Z   test_meta_inplace_index_add_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0939233Z   test_meta_inplace_index_copy_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0939392Z   test_meta_inplace_index_copy_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0939550Z   test_meta_inplace_index_copy_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0939719Z   test_meta_inplace_index_copy_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0939884Z   test_meta_inplace_index_copy_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0940046Z   test_meta_inplace_index_copy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0940212Z   test_meta_inplace_index_copy_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0940372Z   test_meta_inplace_index_copy_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0940533Z   test_meta_inplace_index_copy_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0940686Z   test_meta_inplace_index_copy_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0940849Z   test_meta_inplace_index_copy_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0940992Z   test_meta_inplace_index_copy_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0941156Z   test_meta_inplace_index_fill_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0941319Z   test_meta_inplace_index_fill_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0941560Z   test_meta_inplace_index_fill_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0941729Z   test_meta_inplace_index_fill_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0941920Z   test_meta_inplace_index_fill_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0942085Z   test_meta_inplace_index_fill_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0942251Z   test_meta_inplace_index_fill_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0942413Z   test_meta_inplace_index_fill_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0942558Z   test_meta_inplace_index_fill_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0942713Z   test_meta_inplace_index_fill_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0942877Z   test_meta_inplace_index_fill_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0943031Z   test_meta_inplace_index_fill_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0943198Z   test_meta_inplace_index_put_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0943363Z   test_meta_inplace_index_put_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0943532Z   test_meta_inplace_index_put_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0943698Z   test_meta_inplace_index_put_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0943866Z   test_meta_inplace_index_put_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0944018Z   test_meta_inplace_index_put_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
2022-11-23T01:34:00.0944185Z   test_meta_inplace_index_put_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0944351Z   test_meta_inplace_index_put_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0944596Z   test_meta_inplace_index_put_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0944758Z   test_meta_inplace_index_put_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0944911Z   test_meta_inplace_index_put_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0945070Z   test_meta_inplace_index_put_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0945232Z   test_meta_inplace_index_put_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0945404Z   test_meta_inplace_index_reduce_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0945560Z   test_meta_inplace_index_reduce_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0945730Z   test_meta_inplace_index_reduce_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0945898Z   test_meta_inplace_index_reduce_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0946064Z   test_meta_inplace_index_reduce_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0946227Z   test_meta_inplace_index_reduce_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0946390Z   test_meta_inplace_index_reduce_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0946555Z   test_meta_inplace_index_reduce_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0946747Z   test_meta_inplace_index_reduce_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0946918Z   test_meta_inplace_index_select_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0947094Z   test_meta_inplace_index_select_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0947303Z   test_meta_inplace_index_select_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0947476Z   test_meta_inplace_index_select_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0947646Z   test_meta_inplace_index_select_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0947812Z   test_meta_inplace_index_select_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0947977Z   test_meta_inplace_index_select_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0948143Z   test_meta_inplace_index_select_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0948308Z   test_meta_inplace_index_select_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0948472Z   test_meta_inplace_index_select_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0948624Z   test_meta_inplace_index_select_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0948787Z   test_meta_inplace_index_select_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0948949Z   test_meta_inplace_index_select_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0949110Z   test_meta_inplace_inner_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0949275Z   test_meta_inplace_inner_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0949437Z   test_meta_inplace_inner_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0949598Z   test_meta_inplace_inner_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0949754Z   test_meta_inplace_inner_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0949909Z   test_meta_inplace_inner_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0950053Z   test_meta_inplace_inner_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0950210Z   test_meta_inplace_inner_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0950367Z   test_meta_inplace_inner_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0950526Z   test_meta_inplace_inner_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0950687Z   test_meta_inplace_int_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0950844Z   test_meta_inplace_int_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0951005Z   test_meta_inplace_int_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0951164Z   test_meta_inplace_int_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0951306Z   test_meta_inplace_int_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0951464Z   test_meta_inplace_int_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0951620Z   test_meta_inplace_int_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0951775Z   test_meta_inplace_int_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0951956Z   test_meta_inplace_int_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0952142Z   test_meta_inplace_int_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0952297Z   test_meta_inplace_int_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0952447Z   test_meta_inplace_int_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0952612Z   test_meta_inplace_isclose_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0952758Z   test_meta_inplace_isclose_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0952925Z   test_meta_inplace_isclose_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0953093Z   test_meta_inplace_isclose_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0953258Z   test_meta_inplace_isclose_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0953420Z   test_meta_inplace_isclose_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0953580Z   test_meta_inplace_isclose_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0953743Z   test_meta_inplace_isclose_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0953899Z   test_meta_inplace_isclose_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0954053Z   test_meta_inplace_isclose_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0954197Z   test_meta_inplace_isclose_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0954358Z   test_meta_inplace_isclose_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0954526Z   test_meta_inplace_isfinite_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0954685Z   test_meta_inplace_isfinite_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0954853Z   test_meta_inplace_isfinite_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0955021Z   test_meta_inplace_isfinite_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0955186Z   test_meta_inplace_isfinite_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0955351Z   test_meta_inplace_isfinite_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0955509Z   test_meta_inplace_isfinite_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0955656Z   test_meta_inplace_isfinite_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0955818Z   test_meta_inplace_isfinite_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0955978Z   test_meta_inplace_isfinite_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0956133Z   test_meta_inplace_isfinite_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0956292Z   test_meta_inplace_isfinite_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0956449Z   test_meta_inplace_isfinite_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0956606Z   test_meta_inplace_isin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0956766Z   test_meta_inplace_isin_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0956936Z   test_meta_inplace_isin_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0957093Z   test_meta_inplace_isin_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0957454Z   test_meta_inplace_isin_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0957765Z   test_meta_inplace_isin_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0957928Z   test_meta_inplace_isinf_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0965039Z   test_meta_inplace_isreal_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0967449Z   test_meta_inplace_jiterator_2inputs_2outputs_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0969622Z   test_meta_inplace_jiterator_4inputs_with_extra_args_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0969811Z   test_meta_inplace_jiterator_4inputs_with_extra_args_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0970006Z   test_meta_inplace_jiterator_4inputs_with_extra_args_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0971855Z   test_meta_inplace_jiterator_binary_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0972188Z   test_meta_inplace_jiterator_binary_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0977868Z   test_meta_inplace_jiterator_binary_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0979285Z   test_meta_inplace_jiterator_binary_return_by_ref_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0979470Z   test_meta_inplace_jiterator_binary_return_by_ref_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0979665Z   test_meta_inplace_jiterator_binary_return_by_ref_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0979858Z   test_meta_inplace_jiterator_binary_return_by_ref_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0980041Z   test_meta_inplace_jiterator_binary_return_by_ref_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0980227Z   test_meta_inplace_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0980587Z   test_meta_inplace_jiterator_binary_return_by_ref_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0980937Z   test_meta_inplace_jiterator_binary_return_by_ref_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0981300Z   test_meta_inplace_jiterator_binary_return_by_ref_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.0981476Z   test_meta_inplace_jiterator_unary_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0981825Z   test_meta_inplace_jiterator_unary_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0983574Z   test_meta_inplace_kron_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0985548Z   test_meta_inplace_kthvalue_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.0986811Z   test_meta_inplace_lcm_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1002184Z   test_meta_inplace_linalg_inv_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1005686Z   test_meta_inplace_linalg_lstsq_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1034023Z   test_meta_inplace_log2_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1034183Z   test_meta_inplace_log2_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1034365Z   test_meta_inplace_log2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1034521Z   test_meta_inplace_log2_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1034675Z   test_meta_inplace_log2_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1034828Z   test_meta_inplace_log2_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1034981Z   test_meta_inplace_log2_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1035122Z   test_meta_inplace_log2_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1035274Z   test_meta_inplace_log2_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1035436Z   test_meta_inplace_log_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1035591Z   test_meta_inplace_log_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1035753Z   test_meta_inplace_log_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1035912Z   test_meta_inplace_log_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1036069Z   test_meta_inplace_log_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1036226Z   test_meta_inplace_log_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1036378Z   test_meta_inplace_log_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1036516Z   test_meta_inplace_log_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1036671Z   test_meta_inplace_log_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1036824Z   test_meta_inplace_log_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1036976Z   test_meta_inplace_log_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1037276Z   test_meta_inplace_log_softmax_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1037485Z   test_meta_inplace_log_softmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1037653Z   test_meta_inplace_log_softmax_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1037833Z   test_meta_inplace_log_softmax_with_dtype_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1037996Z   test_meta_inplace_log_softmax_with_dtype_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1038180Z   test_meta_inplace_log_softmax_with_dtype_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1038363Z   test_meta_inplace_log_softmax_with_dtype_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1038540Z   test_meta_inplace_log_softmax_with_dtype_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1038717Z   test_meta_inplace_log_softmax_with_dtype_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1038891Z   test_meta_inplace_log_softmax_with_dtype_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1039062Z   test_meta_inplace_log_softmax_with_dtype_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1039236Z   test_meta_inplace_log_softmax_with_dtype_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1039462Z   test_meta_inplace_log_softmax_with_dtype_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1039673Z   test_meta_inplace_log_softmax_with_dtype_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1039836Z   test_meta_inplace_log_softmax_with_dtype_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1040008Z   test_meta_inplace_log_softmax_with_dtype_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1040178Z   test_meta_inplace_logaddexp2_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1040346Z   test_meta_inplace_logaddexp2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1040517Z   test_meta_inplace_logaddexp2_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1040688Z   test_meta_inplace_logaddexp_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1040855Z   test_meta_inplace_logaddexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1041026Z   test_meta_inplace_logaddexp_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1041197Z   test_meta_inplace_logcumsumexp_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1041356Z   test_meta_inplace_logcumsumexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1041522Z   test_meta_inplace_logcumsumexp_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1041688Z   test_meta_inplace_logdet_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1041853Z   test_meta_inplace_logdet_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1042015Z   test_meta_inplace_logdet_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1042174Z   test_meta_inplace_logdet_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1042342Z   test_meta_inplace_logical_and_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1042507Z   test_meta_inplace_logical_and_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1042680Z   test_meta_inplace_logical_and_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1042838Z   test_meta_inplace_logical_and_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1043005Z   test_meta_inplace_logical_and_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1043173Z   test_meta_inplace_logical_and_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1043339Z   test_meta_inplace_logical_and_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1043506Z   test_meta_inplace_logical_and_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1043671Z   test_meta_inplace_logical_and_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1043833Z   test_meta_inplace_logical_and_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1043997Z   test_meta_inplace_logical_and_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1044159Z   test_meta_inplace_logical_and_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1044312Z   test_meta_inplace_logical_not_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1044507Z   test_meta_inplace_logical_not_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1044678Z   test_meta_inplace_logical_not_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1044880Z   test_meta_inplace_logical_not_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1045045Z   test_meta_inplace_logical_not_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1045208Z   test_meta_inplace_logical_not_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1045371Z   test_meta_inplace_logical_not_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1045533Z   test_meta_inplace_logical_not_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1045696Z   test_meta_inplace_logical_not_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1045847Z   test_meta_inplace_logical_not_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1046013Z   test_meta_inplace_logical_not_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1046175Z   test_meta_inplace_logical_not_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1046341Z   test_meta_inplace_logical_or_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1046506Z   test_meta_inplace_logical_or_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1046674Z   test_meta_inplace_logical_or_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1046843Z   test_meta_inplace_logical_or_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1047012Z   test_meta_inplace_logical_or_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1047174Z   test_meta_inplace_logical_or_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1047329Z   test_meta_inplace_logical_or_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1047491Z   test_meta_inplace_logical_or_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1047648Z   test_meta_inplace_logical_or_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1047805Z   test_meta_inplace_logical_or_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1047971Z   test_meta_inplace_logical_or_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1048132Z   test_meta_inplace_logical_or_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1048302Z   test_meta_inplace_logical_xor_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1048466Z   test_meta_inplace_logical_xor_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1048638Z   test_meta_inplace_logical_xor_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1048793Z   test_meta_inplace_logical_xor_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1048957Z   test_meta_inplace_logical_xor_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1049122Z   test_meta_inplace_logical_xor_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1049285Z   test_meta_inplace_logical_xor_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1049447Z   test_meta_inplace_logical_xor_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1049637Z   test_meta_inplace_logical_xor_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1049800Z   test_meta_inplace_logical_xor_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1049990Z   test_meta_inplace_logical_xor_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1050153Z   test_meta_inplace_logical_xor_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1050303Z   test_meta_inplace_logit_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1050460Z   test_meta_inplace_logit_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1050619Z   test_meta_inplace_logit_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1050775Z   test_meta_inplace_logit_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1050936Z   test_meta_inplace_logit_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1051097Z   test_meta_inplace_logit_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1051256Z   test_meta_inplace_logit_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1051413Z   test_meta_inplace_logit_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1051568Z   test_meta_inplace_logit_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1051722Z   test_meta_inplace_logspace_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1051891Z   test_meta_inplace_logspace_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1052061Z   test_meta_inplace_logspace_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.003s)
2022-11-23T01:34:00.1052227Z   test_meta_inplace_logspace_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1052391Z   test_meta_inplace_logspace_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1052554Z   test_meta_inplace_logspace_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1052710Z   test_meta_inplace_logspace_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1052863Z   test_meta_inplace_logspace_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1053023Z   test_meta_inplace_logspace_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1053165Z   test_meta_inplace_logspace_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1053335Z   test_meta_inplace_logsumexp_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1053500Z   test_meta_inplace_logsumexp_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1053668Z   test_meta_inplace_logsumexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1053835Z   test_meta_inplace_logsumexp_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1054001Z   test_meta_inplace_logsumexp_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1054163Z   test_meta_inplace_logsumexp_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1054319Z   test_meta_inplace_logsumexp_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1054470Z   test_meta_inplace_logsumexp_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1054679Z   test_meta_inplace_logsumexp_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1054908Z   test_meta_inplace_long_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1055142Z   test_meta_inplace_long_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1055309Z   test_meta_inplace_long_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1055472Z   test_meta_inplace_long_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1055628Z   test_meta_inplace_long_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1055789Z   test_meta_inplace_long_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1055949Z   test_meta_inplace_long_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1056096Z   test_meta_inplace_long_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1056255Z   test_meta_inplace_long_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1056412Z   test_meta_inplace_long_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1056569Z   test_meta_inplace_long_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1056728Z   test_meta_inplace_long_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1056884Z   test_meta_inplace_long_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1057043Z   test_meta_inplace_lt_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1057197Z   test_meta_inplace_lt_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1057350Z   test_meta_inplace_lt_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1057492Z   test_meta_inplace_lt_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1057650Z   test_meta_inplace_lt_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1057806Z   test_meta_inplace_lt_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1057958Z   test_meta_inplace_lt_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1058107Z   test_meta_inplace_lt_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1058259Z   test_meta_inplace_lt_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1058407Z   test_meta_inplace_lt_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1058569Z   test_meta_inplace_lu_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1059674Z   test_meta_inplace_lu_solve_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1059843Z   test_meta_inplace_lu_unpack_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1060219Z   test_meta_inplace_lu_unpack_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1060541Z   test_meta_inplace_mH_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1060694Z   test_meta_inplace_mH_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1061623Z   test_meta_inplace_mH_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1061776Z   test_meta_inplace_mH_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1061928Z   test_meta_inplace_mH_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1062228Z   test_meta_inplace_mH_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1062533Z   test_meta_inplace_mT_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1062683Z   test_meta_inplace_mT_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1062844Z   test_meta_inplace_mT_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1062989Z   test_meta_inplace_mT_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1063146Z   test_meta_inplace_mT_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1063298Z   test_meta_inplace_mT_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1063452Z   test_meta_inplace_mT_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1063605Z   test_meta_inplace_mT_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1064053Z   test_meta_inplace_mT_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1064192Z   test_meta_inplace_mT_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1064339Z   test_meta_inplace_mT_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1064580Z   test_meta_inplace_masked_amax_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1064751Z   test_meta_inplace_masked_amax_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1064920Z   test_meta_inplace_masked_amax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1065125Z   test_meta_inplace_masked_amax_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1065290Z   test_meta_inplace_masked_amax_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1065488Z   test_meta_inplace_masked_amax_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1065658Z   test_meta_inplace_masked_amax_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1065809Z   test_meta_inplace_masked_amax_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1065972Z   test_meta_inplace_masked_amax_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1066142Z   test_meta_inplace_masked_amin_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1066309Z   test_meta_inplace_masked_amin_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1066477Z   test_meta_inplace_masked_amin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1066643Z   test_meta_inplace_masked_amin_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1066810Z   test_meta_inplace_masked_amin_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1067284Z   test_meta_inplace_masked_amin_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1067450Z   test_meta_inplace_masked_amin_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1067622Z   test_meta_inplace_masked_argmax_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1067795Z   test_meta_inplace_masked_argmax_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1067966Z   test_meta_inplace_masked_argmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1068130Z   test_meta_inplace_masked_argmax_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1068299Z   test_meta_inplace_masked_argmax_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1068468Z   test_meta_inplace_masked_argmax_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1068634Z   test_meta_inplace_masked_argmax_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1068787Z   test_meta_inplace_masked_argmax_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1068953Z   test_meta_inplace_masked_argmax_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1069124Z   test_meta_inplace_masked_argmin_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1069293Z   test_meta_inplace_masked_argmin_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1069461Z   test_meta_inplace_masked_argmin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1069625Z   test_meta_inplace_masked_argmin_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1069791Z   test_meta_inplace_masked_argmin_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1069956Z   test_meta_inplace_masked_argmin_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1070123Z   test_meta_inplace_masked_argmin_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1070305Z   test_meta_inplace_masked_argmin_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1070493Z   test_meta_inplace_masked_argmin_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1070667Z   test_meta_inplace_masked_cumprod_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1070842Z   test_meta_inplace_masked_cumprod_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1071016Z   test_meta_inplace_masked_cumprod_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1071185Z   test_meta_inplace_masked_cumprod_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1071355Z   test_meta_inplace_masked_cumprod_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1071528Z   test_meta_inplace_masked_cumprod_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1071695Z   test_meta_inplace_masked_cumprod_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1071852Z   test_meta_inplace_masked_cumprod_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1072019Z   test_meta_inplace_masked_cumprod_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1072182Z   test_meta_inplace_masked_cumprod_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1072350Z   test_meta_inplace_masked_cumsum_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1072522Z   test_meta_inplace_masked_cumsum_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1072693Z   test_meta_inplace_masked_cumsum_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1072865Z   test_meta_inplace_masked_cumsum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1073033Z   test_meta_inplace_masked_cumsum_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1073196Z   test_meta_inplace_masked_cumsum_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1073360Z   test_meta_inplace_masked_cumsum_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1073512Z   test_meta_inplace_masked_cumsum_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1073680Z   test_meta_inplace_masked_cumsum_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1073844Z   test_meta_inplace_masked_cumsum_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1074014Z   test_meta_inplace_masked_fill_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1074177Z   test_meta_inplace_masked_fill_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1074348Z   test_meta_inplace_masked_fill_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1074518Z   test_meta_inplace_masked_fill_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1074684Z   test_meta_inplace_masked_fill_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1074847Z   test_meta_inplace_masked_fill_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1074999Z   test_meta_inplace_masked_fill_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1075161Z   test_meta_inplace_masked_fill_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1075356Z   test_meta_inplace_masked_fill_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1075518Z   test_meta_inplace_masked_fill_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1075710Z   test_meta_inplace_masked_fill_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1075871Z   test_meta_inplace_masked_fill_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1076031Z   test_meta_inplace_masked_fill_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1076207Z   test_meta_inplace_masked_log_softmax_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1076382Z   test_meta_inplace_masked_log_softmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1076544Z   test_meta_inplace_masked_log_softmax_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1076720Z   test_meta_inplace_masked_logaddexp_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1076897Z   test_meta_inplace_masked_logaddexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1077067Z   test_meta_inplace_masked_logaddexp_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
2022-11-23T01:34:00.1077440Z   test_meta_inplace_masked_logsumexp_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1077613Z   test_meta_inplace_masked_logsumexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1077783Z   test_meta_inplace_masked_logsumexp_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1077953Z   test_meta_inplace_masked_logsumexp_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1078125Z   test_meta_inplace_masked_logsumexp_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1078278Z   test_meta_inplace_masked_logsumexp_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1078450Z   test_meta_inplace_masked_logsumexp_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1078614Z   test_meta_inplace_masked_logsumexp_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1078782Z   test_meta_inplace_masked_mean_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1078946Z   test_meta_inplace_masked_mean_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1079118Z   test_meta_inplace_masked_mean_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1079292Z   test_meta_inplace_masked_mean_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1079457Z   test_meta_inplace_masked_mean_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1079625Z   test_meta_inplace_masked_mean_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1079780Z   test_meta_inplace_masked_mean_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1079943Z   test_meta_inplace_masked_mean_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1080109Z   test_meta_inplace_masked_mean_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1080272Z   test_meta_inplace_masked_mean_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1080437Z   test_meta_inplace_masked_mean_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1080836Z   test_meta_inplace_masked_median_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1081049Z   test_meta_inplace_masked_median_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1081375Z   test_meta_inplace_masked_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1082051Z   test_meta_inplace_masked_normalize_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1082583Z   test_meta_inplace_masked_normalize_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1082753Z   test_meta_inplace_masked_normalize_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1083077Z   test_meta_inplace_masked_prod_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1083410Z   test_meta_inplace_masked_prod_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1083580Z   test_meta_inplace_masked_prod_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1083744Z   test_meta_inplace_masked_prod_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1084073Z   test_meta_inplace_masked_prod_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1084550Z   test_meta_inplace_masked_prod_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1084886Z   test_meta_inplace_masked_scatter_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1085052Z   test_meta_inplace_masked_scatter_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1085225Z   test_meta_inplace_masked_scatter_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1085568Z   test_meta_inplace_masked_scatter_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1086109Z   test_meta_inplace_masked_scatter_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1086943Z   test_meta_inplace_masked_select_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1088436Z   test_meta_inplace_masked_select_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1088602Z   test_meta_inplace_masked_select_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1088926Z   test_meta_inplace_masked_softmax_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1089436Z   test_meta_inplace_masked_softmin_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1089605Z   test_meta_inplace_masked_softmin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1090102Z   test_meta_inplace_masked_std_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1091615Z   test_meta_inplace_masked_sum_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1091778Z   test_meta_inplace_masked_sum_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1091933Z   test_meta_inplace_masked_sum_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1092263Z   test_meta_inplace_masked_sum_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1092752Z   test_meta_inplace_masked_sum_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1092909Z   test_meta_inplace_masked_sum_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1093066Z   test_meta_inplace_masked_sum_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1093228Z   test_meta_inplace_masked_sum_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1093539Z   test_meta_inplace_masked_var_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1095315Z   test_meta_inplace_matmul_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1095805Z   test_meta_inplace_matmul_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1096969Z   test_meta_inplace_matrix_exp_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1097476Z   test_meta_inplace_matrix_exp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1097796Z   test_meta_inplace_max_binary_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1099427Z   test_meta_inplace_max_pool2d_with_indices_backward_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1099618Z   test_meta_inplace_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1099810Z   test_meta_inplace_max_pool2d_with_indices_backward_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1099994Z   test_meta_inplace_max_reduction_no_dim_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1100170Z   test_meta_inplace_max_reduction_no_dim_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1100347Z   test_meta_inplace_max_reduction_no_dim_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1100524Z   test_meta_inplace_max_reduction_no_dim_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1100699Z   test_meta_inplace_max_reduction_no_dim_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1100874Z   test_meta_inplace_max_reduction_no_dim_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1101062Z   test_meta_inplace_max_reduction_no_dim_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1101263Z   test_meta_inplace_max_reduction_no_dim_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1101793Z   test_meta_inplace_max_reduction_with_dim_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1101968Z   test_meta_inplace_max_reduction_with_dim_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1102148Z   test_meta_inplace_max_reduction_with_dim_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1102497Z   test_meta_inplace_max_reduction_with_dim_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1103528Z   test_meta_inplace_maximum_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1130309Z   test_meta_inplace_mvlgamma_mvlgamma_p_1_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1131007Z   test_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1132254Z   test_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1132432Z   test_meta_inplace_mvlgamma_mvlgamma_p_5_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1133788Z   test_meta_inplace_nan_to_num_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1139232Z   test_meta_inplace_narrow_copy_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1139569Z   test_meta_inplace_narrow_copy_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1143481Z   test_meta_inplace_native_batch_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1144010Z   test_meta_inplace_native_dropout_backward_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1145501Z   test_meta_inplace_native_dropout_backward_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1145861Z   test_meta_inplace_native_layer_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1146354Z   test_meta_inplace_ne_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1146508Z   test_meta_inplace_ne_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1146671Z   test_meta_inplace_ne_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1147019Z   test_meta_inplace_ne_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1148266Z   test_meta_inplace_neg_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1148431Z   test_meta_inplace_neg_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1150161Z   test_meta_inplace_new_empty_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1150987Z   test_meta_inplace_new_empty_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1262198Z   test_meta_inplace_pca_lowrank_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1262529Z   test_meta_inplace_permute_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1264769Z   test_meta_inplace_pinverse_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1265424Z   test_meta_inplace_polar_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1271582Z   test_meta_inplace_polygamma_polygamma_n_3_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1272802Z   test_meta_inplace_polygamma_polygamma_n_4_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1273705Z   test_meta_inplace_positive_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1273875Z   test_meta_inplace_positive_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1275606Z   test_meta_inplace_pow_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1277837Z   test_meta_inplace_prod_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1279319Z   test_meta_inplace_put_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1279945Z   test_meta_inplace_put_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1281027Z   test_meta_inplace_put_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1281188Z   test_meta_inplace_qr_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1281488Z   test_meta_inplace_qr_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1281805Z   test_meta_inplace_quantile_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1282122Z   test_meta_inplace_rad2deg_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1282284Z   test_meta_inplace_rad2deg_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1282448Z   test_meta_inplace_rad2deg_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1282752Z   test_meta_inplace_rad2deg_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1282909Z   test_meta_inplace_rad2deg_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1283212Z   test_meta_inplace_rad2deg_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1283526Z   test_meta_inplace_rad2deg_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1283721Z   test_meta_inplace_rand_like_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1284890Z   test_meta_inplace_randint_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1285979Z   test_meta_inplace_randint_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1286137Z   test_meta_inplace_randint_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1286308Z   test_meta_inplace_randint_like_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1286475Z   test_meta_inplace_randint_like_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1286813Z   test_meta_inplace_randint_like_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1287785Z   test_meta_inplace_randn_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1287949Z   test_meta_inplace_randn_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1288271Z   test_meta_inplace_randn_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1288418Z   test_meta_inplace_randn_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1288753Z   test_meta_inplace_randn_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1288919Z   test_meta_inplace_randn_like_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1289116Z   test_meta_inplace_randn_like_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1289619Z   test_meta_inplace_randn_like_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1289783Z   test_meta_inplace_randn_like_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1290097Z   test_meta_inplace_ravel_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1290252Z   test_meta_inplace_ravel_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1290416Z   test_meta_inplace_ravel_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1290579Z   test_meta_inplace_ravel_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1290736Z   test_meta_inplace_ravel_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1290895Z   test_meta_inplace_ravel_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1291200Z   test_meta_inplace_ravel_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1291345Z   test_meta_inplace_ravel_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1291810Z   test_meta_inplace_ravel_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1291963Z   test_meta_inplace_ravel_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1292122Z   test_meta_inplace_real_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1292277Z   test_meta_inplace_real_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1292440Z   test_meta_inplace_real_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1292750Z   test_meta_inplace_real_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1292909Z   test_meta_inplace_real_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1293067Z   test_meta_inplace_real_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1293380Z   test_meta_inplace_real_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1294213Z   test_meta_inplace_reciprocal_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1294380Z   test_meta_inplace_reciprocal_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1294577Z   test_meta_inplace_reciprocal_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1294746Z   test_meta_inplace_reciprocal_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1294913Z   test_meta_inplace_reciprocal_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1295079Z   test_meta_inplace_reciprocal_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1295246Z   test_meta_inplace_reciprocal_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1295410Z   test_meta_inplace_reciprocal_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1295571Z   test_meta_inplace_reciprocal_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1295715Z   test_meta_inplace_reciprocal_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1295878Z   test_meta_inplace_reciprocal_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1296034Z   test_meta_inplace_reciprocal_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1296200Z   test_meta_inplace_remainder_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1296367Z   test_meta_inplace_remainder_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1296532Z   test_meta_inplace_remainder_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1296697Z   test_meta_inplace_remainder_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1296860Z   test_meta_inplace_remainder_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1297006Z   test_meta_inplace_remainder_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1297162Z   test_meta_inplace_remainder_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1297324Z   test_meta_inplace_remainder_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1297482Z   test_meta_inplace_remainder_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1297638Z   test_meta_inplace_renorm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1297808Z   test_meta_inplace_renorm_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1297975Z   test_meta_inplace_renorm_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1298138Z   test_meta_inplace_renorm_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1298294Z   test_meta_inplace_renorm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1298435Z   test_meta_inplace_renorm_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1298599Z   test_meta_inplace_repeat_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1298761Z   test_meta_inplace_repeat_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1298928Z   test_meta_inplace_repeat_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1299123Z   test_meta_inplace_repeat_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1299308Z   test_meta_inplace_repeat_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1299465Z   test_meta_inplace_repeat_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1299618Z   test_meta_inplace_repeat_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1299776Z   test_meta_inplace_repeat_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1299922Z   test_meta_inplace_repeat_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1300080Z   test_meta_inplace_repeat_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1300242Z   test_meta_inplace_repeat_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1300399Z   test_meta_inplace_repeat_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1300580Z   test_meta_inplace_repeat_interleave_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1300755Z   test_meta_inplace_repeat_interleave_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1300934Z   test_meta_inplace_repeat_interleave_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1301113Z   test_meta_inplace_repeat_interleave_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1301295Z   test_meta_inplace_repeat_interleave_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1301456Z   test_meta_inplace_repeat_interleave_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1301634Z   test_meta_inplace_repeat_interleave_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1301809Z   test_meta_inplace_repeat_interleave_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1301984Z   test_meta_inplace_repeat_interleave_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1302157Z   test_meta_inplace_repeat_interleave_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1302327Z   test_meta_inplace_repeat_interleave_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1302500Z   test_meta_inplace_repeat_interleave_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1302667Z   test_meta_inplace_repeat_interleave_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1302840Z   test_meta_inplace_reshape_as_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1302993Z   test_meta_inplace_reshape_as_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1303170Z   test_meta_inplace_reshape_as_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1303340Z   test_meta_inplace_reshape_as_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1303509Z   test_meta_inplace_reshape_as_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1303675Z   test_meta_inplace_reshape_as_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1303840Z   test_meta_inplace_reshape_as_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1304008Z   test_meta_inplace_reshape_as_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1304219Z   test_meta_inplace_reshape_as_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1304448Z   test_meta_inplace_reshape_as_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1304629Z   test_meta_inplace_reshape_as_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1304792Z   test_meta_inplace_reshape_as_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1304949Z   test_meta_inplace_reshape_as_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1305107Z   test_meta_inplace_reshape_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1305265Z   test_meta_inplace_reshape_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1305432Z   test_meta_inplace_reshape_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1305604Z   test_meta_inplace_reshape_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1305773Z   test_meta_inplace_reshape_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1305938Z   test_meta_inplace_reshape_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1306085Z   test_meta_inplace_reshape_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1306242Z   test_meta_inplace_reshape_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1306406Z   test_meta_inplace_reshape_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1306562Z   test_meta_inplace_reshape_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1306717Z   test_meta_inplace_reshape_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1306875Z   test_meta_inplace_reshape_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1307034Z   test_meta_inplace_reshape_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1307201Z   test_meta_inplace_resize__cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1307361Z   test_meta_inplace_resize__cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1307514Z   test_meta_inplace_resize__cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1307678Z   test_meta_inplace_resize__cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1307836Z   test_meta_inplace_resize__cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1307992Z   test_meta_inplace_resize__cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1308148Z   test_meta_inplace_resize__cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1308305Z   test_meta_inplace_resize__cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1308457Z   test_meta_inplace_resize__cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1308613Z   test_meta_inplace_resize__cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1308768Z   test_meta_inplace_resize__cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1308914Z   test_meta_inplace_resize__cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1309080Z   test_meta_inplace_resize_as__cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1309243Z   test_meta_inplace_resize_as__cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1309443Z   test_meta_inplace_resize_as__cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1309645Z   test_meta_inplace_resize_as__cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1309810Z   test_meta_inplace_resize_as__cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1309975Z   test_meta_inplace_resize_as__cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1310138Z   test_meta_inplace_resize_as__cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1310298Z   test_meta_inplace_resize_as__cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1310442Z   test_meta_inplace_resize_as__cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1310597Z   test_meta_inplace_resize_as__cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1310759Z   test_meta_inplace_resize_as__cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1310914Z   test_meta_inplace_resize_as__cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1311083Z   test_meta_inplace_resolve_conj_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1311248Z   test_meta_inplace_resolve_conj_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1311423Z   test_meta_inplace_resolve_conj_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1311595Z   test_meta_inplace_resolve_conj_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1311760Z   test_meta_inplace_resolve_conj_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1311916Z   test_meta_inplace_resolve_conj_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1312082Z   test_meta_inplace_resolve_conj_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1312249Z   test_meta_inplace_resolve_conj_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1312413Z   test_meta_inplace_resolve_conj_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1312577Z   test_meta_inplace_resolve_conj_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1312740Z   test_meta_inplace_resolve_conj_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1312902Z   test_meta_inplace_resolve_conj_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1313069Z   test_meta_inplace_resolve_neg_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
2022-11-23T01:34:00.1313233Z   test_meta_inplace_resolve_neg_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1313393Z   test_meta_inplace_resolve_neg_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1313561Z   test_meta_inplace_resolve_neg_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1313728Z   test_meta_inplace_resolve_neg_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1313894Z   test_meta_inplace_resolve_neg_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1314058Z   test_meta_inplace_resolve_neg_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1314221Z   test_meta_inplace_resolve_neg_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1314412Z   test_meta_inplace_resolve_neg_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1314575Z   test_meta_inplace_resolve_neg_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1314766Z   test_meta_inplace_resolve_neg_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1314915Z   test_meta_inplace_resolve_neg_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1315076Z   test_meta_inplace_resolve_neg_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1315236Z   test_meta_inplace_roll_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1315388Z   test_meta_inplace_roll_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1315552Z   test_meta_inplace_roll_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1315715Z   test_meta_inplace_roll_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1315871Z   test_meta_inplace_roll_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1316031Z   test_meta_inplace_roll_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1316188Z   test_meta_inplace_roll_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1316332Z   test_meta_inplace_roll_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1316487Z   test_meta_inplace_roll_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1316641Z   test_meta_inplace_roll_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1316796Z   test_meta_inplace_roll_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1316954Z   test_meta_inplace_roll_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1317105Z   test_meta_inplace_roll_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1317409Z   test_meta_inplace_rot90_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1317637Z   test_meta_inplace_rot90_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1317860Z   test_meta_inplace_rot90_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1318157Z   test_meta_inplace_rot90_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1318424Z   test_meta_inplace_rot90_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1318646Z   test_meta_inplace_rot90_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1318918Z   test_meta_inplace_rot90_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1362458Z   test_meta_inplace_segment_reduce_lengths_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1362791Z   test_meta_inplace_segment_reduce_offsets_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1363109Z   test_meta_inplace_segment_reduce_offsets_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1363408Z   test_meta_inplace_segment_reduce_offsets_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1363717Z   test_meta_inplace_segment_reduce_offsets_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1364016Z   test_meta_inplace_select_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1364304Z   test_meta_inplace_select_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1364587Z   test_meta_inplace_select_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1364872Z   test_meta_inplace_select_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1365176Z   test_meta_inplace_select_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1365472Z   test_meta_inplace_select_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1365765Z   test_meta_inplace_select_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1366050Z   test_meta_inplace_select_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1366323Z   test_meta_inplace_select_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1366605Z   test_meta_inplace_select_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1366892Z   test_meta_inplace_select_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1367166Z   test_meta_inplace_select_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1367520Z   test_meta_inplace_select_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1367828Z   test_meta_inplace_select_scatter_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1368179Z   test_meta_inplace_select_scatter_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1368494Z   test_meta_inplace_select_scatter_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1368802Z   test_meta_inplace_select_scatter_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1369089Z   test_meta_inplace_select_scatter_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1369391Z   test_meta_inplace_select_scatter_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1369695Z   test_meta_inplace_select_scatter_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1369980Z   test_meta_inplace_select_scatter_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1370277Z   test_meta_inplace_select_scatter_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1370572Z   test_meta_inplace_select_scatter_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1370857Z   test_meta_inplace_sgn_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1371141Z   test_meta_inplace_sgn_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1371436Z   test_meta_inplace_sgn_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1371699Z   test_meta_inplace_sgn_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1371977Z   test_meta_inplace_sgn_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1372262Z   test_meta_inplace_sgn_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1372536Z   test_meta_inplace_sgn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1372823Z   test_meta_inplace_sgn_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1373087Z   test_meta_inplace_sgn_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1373359Z   test_meta_inplace_sgn_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1373638Z   test_meta_inplace_sgn_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1373917Z   test_meta_inplace_sgn_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1374198Z   test_meta_inplace_sgn_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1374480Z   test_meta_inplace_short_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1374770Z   test_meta_inplace_short_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1375058Z   test_meta_inplace_short_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1375358Z   test_meta_inplace_short_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1375649Z   test_meta_inplace_short_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1375915Z   test_meta_inplace_short_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1376193Z   test_meta_inplace_short_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1376547Z   test_meta_inplace_short_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1376831Z   test_meta_inplace_short_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1377144Z   test_meta_inplace_short_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1377414Z   test_meta_inplace_short_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1377699Z   test_meta_inplace_short_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1377998Z   test_meta_inplace_sigmoid_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1378286Z   test_meta_inplace_sigmoid_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1378560Z   test_meta_inplace_sigmoid_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1378856Z   test_meta_inplace_sigmoid_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1379156Z   test_meta_inplace_sigmoid_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1379452Z   test_meta_inplace_sigmoid_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1379738Z   test_meta_inplace_sigmoid_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1379995Z   test_meta_inplace_sigmoid_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1380276Z   test_meta_inplace_sigmoid_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1380559Z   test_meta_inplace_sigmoid_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1380845Z   test_meta_inplace_sigmoid_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1381134Z   test_meta_inplace_sign_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1381388Z   test_meta_inplace_sign_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1381677Z   test_meta_inplace_sign_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1381964Z   test_meta_inplace_sign_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1382253Z   test_meta_inplace_sign_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1382521Z   test_meta_inplace_sign_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1382787Z   test_meta_inplace_sign_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1383064Z   test_meta_inplace_sign_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1383346Z   test_meta_inplace_sign_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1383626Z   test_meta_inplace_sign_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1383955Z   test_meta_inplace_signal_windows_cosine_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1384272Z   test_meta_inplace_signal_windows_cosine_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1384667Z   test_meta_inplace_signal_windows_cosine_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1384986Z   test_meta_inplace_signal_windows_cosine_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1385312Z   test_meta_inplace_signal_windows_exponential_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1385623Z   test_meta_inplace_signal_windows_exponential_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1386037Z   test_meta_inplace_signal_windows_exponential_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1386419Z   test_meta_inplace_signal_windows_exponential_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1386749Z   test_meta_inplace_signal_windows_gaussian_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1387063Z   test_meta_inplace_signal_windows_gaussian_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1387387Z   test_meta_inplace_signal_windows_gaussian_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1387701Z   test_meta_inplace_signal_windows_gaussian_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1388022Z   test_meta_inplace_signal_windows_kaiser_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1388314Z   test_meta_inplace_signal_windows_kaiser_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1388629Z   test_meta_inplace_signal_windows_kaiser_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1388942Z   test_meta_inplace_signal_windows_kaiser_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1389239Z   test_meta_inplace_signbit_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1389526Z   test_meta_inplace_signbit_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1389802Z   test_meta_inplace_signbit_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1390085Z   test_meta_inplace_signbit_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1390379Z   test_meta_inplace_signbit_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1390668Z   test_meta_inplace_signbit_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1390943Z   test_meta_inplace_signbit_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1391216Z   test_meta_inplace_signbit_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1391498Z   test_meta_inplace_signbit_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1391789Z   test_meta_inplace_signbit_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1392075Z   test_meta_inplace_sin_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1392348Z   test_meta_inplace_sin_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1392635Z   test_meta_inplace_sin_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1392921Z   test_meta_inplace_sin_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1393208Z   test_meta_inplace_sin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1393476Z   test_meta_inplace_sin_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1393747Z   test_meta_inplace_sin_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1394018Z   test_meta_inplace_sin_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1394295Z   test_meta_inplace_sin_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1394567Z   test_meta_inplace_sin_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1394844Z   test_meta_inplace_sin_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1395179Z   test_meta_inplace_sinc_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1395502Z   test_meta_inplace_sinc_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1395798Z   test_meta_inplace_sinc_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1396076Z   test_meta_inplace_sinc_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1396361Z   test_meta_inplace_sinc_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1396627Z   test_meta_inplace_sinc_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1396902Z   test_meta_inplace_sinc_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1397300Z   test_meta_inplace_sinc_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1397588Z   test_meta_inplace_sinc_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1397870Z   test_meta_inplace_sinc_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1398138Z   test_meta_inplace_sinc_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1398424Z   test_meta_inplace_sinh_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1398691Z   test_meta_inplace_sinh_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1398988Z   test_meta_inplace_sinh_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1399278Z   test_meta_inplace_sinh_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1399545Z   test_meta_inplace_sinh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1399830Z   test_meta_inplace_sinh_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1400108Z   test_meta_inplace_sinh_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1400394Z   test_meta_inplace_sinh_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.003s)
2022-11-23T01:34:00.1400672Z   test_meta_inplace_sinh_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1400916Z   test_meta_inplace_sinh_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1401190Z   test_meta_inplace_sinh_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1401483Z   test_meta_inplace_slice_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1401764Z   test_meta_inplace_slice_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1402064Z   test_meta_inplace_slice_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1402339Z   test_meta_inplace_slice_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1402637Z   test_meta_inplace_slice_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1402927Z   test_meta_inplace_slice_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1403211Z   test_meta_inplace_slice_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1403479Z   test_meta_inplace_slice_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1403747Z   test_meta_inplace_slice_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1404028Z   test_meta_inplace_slice_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1498296Z   test_meta_inplace_special_shifted_chebyshev_polynomial_t_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
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2022-11-23T01:34:00.1529875Z   test_meta_inplace_special_spherical_bessel_j0_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1588261Z   test_meta_inplace_squeeze_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1588899Z   test_meta_inplace_squeeze_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1589503Z   test_meta_inplace_squeeze_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1590127Z   test_meta_inplace_squeeze_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1590718Z   test_meta_inplace_squeeze_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1591326Z   test_meta_inplace_squeeze_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1591929Z   test_meta_inplace_squeeze_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1592506Z   test_meta_inplace_squeeze_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1593114Z   test_meta_inplace_squeeze_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1593717Z   test_meta_inplace_stack_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1594332Z   test_meta_inplace_stack_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1594917Z   test_meta_inplace_stack_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1595547Z   test_meta_inplace_stack_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1596162Z   test_meta_inplace_stack_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1596763Z   test_meta_inplace_stack_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1597450Z   test_meta_inplace_stack_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1597901Z   test_meta_inplace_stack_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1598238Z   test_meta_inplace_stack_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1598559Z   test_meta_inplace_stack_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1598898Z   test_meta_inplace_stack_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1599233Z   test_meta_inplace_stack_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1599568Z   test_meta_inplace_stack_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1599892Z   test_meta_inplace_std_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1600236Z   test_meta_inplace_std_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1600579Z   test_meta_inplace_std_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1600919Z   test_meta_inplace_std_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1601242Z   test_meta_inplace_std_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1601569Z   test_meta_inplace_std_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1602011Z   test_meta_inplace_std_mean_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1602352Z   test_meta_inplace_std_mean_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1602753Z   test_meta_inplace_std_mean_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1603104Z   test_meta_inplace_std_mean_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1603444Z   test_meta_inplace_std_mean_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1603765Z   test_meta_inplace_std_mean_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1604110Z   test_meta_inplace_stft_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1604447Z   test_meta_inplace_stft_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1604785Z   test_meta_inplace_stft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1605108Z   test_meta_inplace_stft_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1605441Z   test_meta_inplace_sub_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1605789Z   test_meta_inplace_sub_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1606119Z   test_meta_inplace_sub_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1606450Z   test_meta_inplace_sub_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1606786Z   test_meta_inplace_sub_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1607120Z   test_meta_inplace_sub_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1607441Z   test_meta_inplace_sub_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1607767Z   test_meta_inplace_sub_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1608095Z   test_meta_inplace_sub_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1608424Z   test_meta_inplace_sub_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1608741Z   test_meta_inplace_sub_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1609068Z   test_meta_inplace_sub_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1609394Z   test_meta_inplace_sum_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.003s)
2022-11-23T01:34:00.1609708Z   test_meta_inplace_sum_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1610045Z   test_meta_inplace_sum_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1610383Z   test_meta_inplace_sum_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1610720Z   test_meta_inplace_sum_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1611037Z   test_meta_inplace_sum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1611365Z   test_meta_inplace_sum_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1611694Z   test_meta_inplace_sum_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1612020Z   test_meta_inplace_sum_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1612332Z   test_meta_inplace_sum_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1612709Z   test_meta_inplace_sum_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1613034Z   test_meta_inplace_sum_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1613389Z   test_meta_inplace_sum_to_size_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1613737Z   test_meta_inplace_sum_to_size_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1614090Z   test_meta_inplace_sum_to_size_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1614451Z   test_meta_inplace_sum_to_size_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1614791Z   test_meta_inplace_sum_to_size_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1615141Z   test_meta_inplace_sum_to_size_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1615489Z   test_meta_inplace_sum_to_size_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1615837Z   test_meta_inplace_sum_to_size_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1616168Z   test_meta_inplace_sum_to_size_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1616514Z   test_meta_inplace_sum_to_size_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1616856Z   test_meta_inplace_sum_to_size_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1617181Z   test_meta_inplace_sum_to_size_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1617519Z   test_meta_inplace_svd_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1617860Z   test_meta_inplace_svd_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1618194Z   test_meta_inplace_svd_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1618517Z   test_meta_inplace_svd_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1618856Z   test_meta_inplace_svd_lowrank_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1619206Z   test_meta_inplace_svd_lowrank_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1619553Z   test_meta_inplace_symeig_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1619891Z   test_meta_inplace_symeig_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1620233Z   test_meta_inplace_symeig_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1620573Z   test_meta_inplace_symeig_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1620894Z   test_meta_inplace_t_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1621225Z   test_meta_inplace_t_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1621555Z   test_meta_inplace_t_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1621889Z   test_meta_inplace_t_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1622210Z   test_meta_inplace_t_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1622537Z   test_meta_inplace_t_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1622860Z   test_meta_inplace_t_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1623184Z   test_meta_inplace_t_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1623527Z   test_meta_inplace_t_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1623845Z   test_meta_inplace_t_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1624189Z   test_meta_inplace_t_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1624589Z   test_meta_inplace_t_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1624936Z   test_meta_inplace_take_along_dim_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1625291Z   test_meta_inplace_take_along_dim_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1625648Z   test_meta_inplace_take_along_dim_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1625998Z   test_meta_inplace_take_along_dim_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1626358Z   test_meta_inplace_take_along_dim_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1626714Z   test_meta_inplace_take_along_dim_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1627057Z   test_meta_inplace_take_along_dim_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1627395Z   test_meta_inplace_take_along_dim_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1627745Z   test_meta_inplace_take_along_dim_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1628093Z   test_meta_inplace_take_along_dim_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1628429Z   test_meta_inplace_take_along_dim_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1628781Z   test_meta_inplace_take_along_dim_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1629119Z   test_meta_inplace_take_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1629455Z   test_meta_inplace_take_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1629780Z   test_meta_inplace_take_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1630123Z   test_meta_inplace_take_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1630458Z   test_meta_inplace_take_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1630794Z   test_meta_inplace_take_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1631117Z   test_meta_inplace_take_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1631452Z   test_meta_inplace_take_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1631781Z   test_meta_inplace_take_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1632102Z   test_meta_inplace_take_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1632432Z   test_meta_inplace_take_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1632758Z   test_meta_inplace_take_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1633090Z   test_meta_inplace_tan_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1633408Z   test_meta_inplace_tan_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1633740Z   test_meta_inplace_tan_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1634115Z   test_meta_inplace_tan_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1634450Z   test_meta_inplace_tan_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1634798Z   test_meta_inplace_tan_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1635123Z   test_meta_inplace_tan_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1635446Z   test_meta_inplace_tan_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1635758Z   test_meta_inplace_tan_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1636088Z   test_meta_inplace_tan_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1636410Z   test_meta_inplace_tan_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1636743Z   test_meta_inplace_tanh_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1637061Z   test_meta_inplace_tanh_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1637584Z   test_meta_inplace_tanh_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1637927Z   test_meta_inplace_tanh_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1638264Z   test_meta_inplace_tanh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1638585Z   test_meta_inplace_tanh_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1638943Z   test_meta_inplace_tanh_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1639272Z   test_meta_inplace_tanh_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1639591Z   test_meta_inplace_tanh_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1639918Z   test_meta_inplace_tanh_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1640248Z   test_meta_inplace_tanh_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1640593Z   test_meta_inplace_tensor_split_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1640933Z   test_meta_inplace_tensor_split_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1641292Z   test_meta_inplace_tensor_split_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1641656Z   test_meta_inplace_tensor_split_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1642013Z   test_meta_inplace_tensor_split_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1644416Z   test_meta_inplace_tensor_split_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1644747Z   test_meta_inplace_tensordot_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1645163Z   test_meta_inplace_tensordot_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1645523Z   test_meta_inplace_tensordot_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1645910Z   test_meta_inplace_tensordot_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1647271Z   test_meta_inplace_tensordot_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1647940Z   test_meta_inplace_tensordot_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1648282Z   test_meta_inplace_tile_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1648604Z   test_meta_inplace_tile_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1648940Z   test_meta_inplace_tile_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1649283Z   test_meta_inplace_tile_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1649622Z   test_meta_inplace_tile_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1650272Z   test_meta_inplace_tile_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1650602Z   test_meta_inplace_tile_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1651899Z   test_meta_inplace_tile_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1652220Z   test_meta_inplace_to_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1652547Z   test_meta_inplace_to_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1652880Z   test_meta_inplace_to_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1653219Z   test_meta_inplace_to_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1653539Z   test_meta_inplace_to_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1653870Z   test_meta_inplace_to_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1654198Z   test_meta_inplace_to_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1654510Z   test_meta_inplace_to_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1655152Z   test_meta_inplace_to_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1655474Z   test_meta_inplace_to_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1655816Z   test_meta_inplace_to_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1656151Z   test_meta_inplace_to_sparse_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1656528Z   test_meta_inplace_to_sparse_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1656879Z   test_meta_inplace_to_sparse_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1657219Z   test_meta_inplace_to_sparse_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1657571Z   test_meta_inplace_to_sparse_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1657915Z   test_meta_inplace_to_sparse_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1658249Z   test_meta_inplace_to_sparse_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1658594Z   test_meta_inplace_to_sparse_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1659270Z   test_meta_inplace_to_sparse_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1659593Z   test_meta_inplace_to_sparse_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1659928Z   test_meta_inplace_to_sparse_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1660267Z   test_meta_inplace_topk_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1660923Z   test_meta_inplace_topk_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
2022-11-23T01:34:00.1661255Z   test_meta_inplace_topk_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1661589Z   test_meta_inplace_topk_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1661908Z   test_meta_inplace_topk_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1662235Z   test_meta_inplace_topk_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1662559Z   test_meta_inplace_topk_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1662900Z   test_meta_inplace_trace_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1663233Z   test_meta_inplace_trace_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1663571Z   test_meta_inplace_trace_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1663906Z   test_meta_inplace_trace_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1664241Z   test_meta_inplace_trace_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1664637Z   test_meta_inplace_trace_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1664967Z   test_meta_inplace_trace_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1665297Z   test_meta_inplace_trace_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1665616Z   test_meta_inplace_trace_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1665957Z   test_meta_inplace_transpose_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1666303Z   test_meta_inplace_transpose_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1666694Z   test_meta_inplace_transpose_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1667036Z   test_meta_inplace_transpose_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1667432Z   test_meta_inplace_transpose_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1667783Z   test_meta_inplace_transpose_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1668133Z   test_meta_inplace_transpose_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1668468Z   test_meta_inplace_transpose_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1668816Z   test_meta_inplace_transpose_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1669157Z   test_meta_inplace_transpose_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1669485Z   test_meta_inplace_transpose_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1669821Z   test_meta_inplace_transpose_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1670162Z   test_meta_inplace_transpose_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1670508Z   test_meta_inplace_trapezoid_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1670848Z   test_meta_inplace_trapezoid_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1671202Z   test_meta_inplace_trapezoid_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1671557Z   test_meta_inplace_trapezoid_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1671905Z   test_meta_inplace_trapezoid_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1672242Z   test_meta_inplace_trapezoid_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1672589Z   test_meta_inplace_trapezoid_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1672928Z   test_meta_inplace_trapezoid_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1673263Z   test_meta_inplace_trapezoid_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1673589Z   test_meta_inplace_trapezoid_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1673930Z   test_meta_inplace_trapezoid_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1674270Z   test_meta_inplace_trapz_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1674600Z   test_meta_inplace_trapz_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1674941Z   test_meta_inplace_trapz_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1675283Z   test_meta_inplace_trapz_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1675617Z   test_meta_inplace_trapz_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1675935Z   test_meta_inplace_trapz_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1676268Z   test_meta_inplace_trapz_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.1676931Z   test_meta_inplace_trapz_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1677419Z   test_meta_inplace_trapz_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1677754Z   test_meta_inplace_trapz_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1678159Z   test_meta_inplace_triangular_solve_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1678522Z   test_meta_inplace_triangular_solve_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1678889Z   test_meta_inplace_triangular_solve_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1679248Z   test_meta_inplace_triangular_solve_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1679595Z   test_meta_inplace_tril_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1679915Z   test_meta_inplace_tril_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1680258Z   test_meta_inplace_tril_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1680600Z   test_meta_inplace_tril_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1680939Z   test_meta_inplace_tril_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1681257Z   test_meta_inplace_tril_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1681588Z   test_meta_inplace_tril_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1681926Z   test_meta_inplace_tril_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1682241Z   test_meta_inplace_tril_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1682568Z   test_meta_inplace_tril_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1682896Z   test_meta_inplace_tril_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1683222Z   test_meta_inplace_tril_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1683552Z   test_meta_inplace_tril_indices_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1683897Z   test_meta_inplace_tril_indices_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1684237Z   test_meta_inplace_triu_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1684572Z   test_meta_inplace_triu_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1684894Z   test_meta_inplace_triu_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1685242Z   test_meta_inplace_triu_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1685578Z   test_meta_inplace_triu_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1685899Z   test_meta_inplace_triu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1686228Z   test_meta_inplace_triu_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1686559Z   test_meta_inplace_triu_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1686884Z   test_meta_inplace_triu_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1687197Z   test_meta_inplace_triu_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1687519Z   test_meta_inplace_triu_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1687846Z   test_meta_inplace_triu_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1688246Z   test_meta_inplace_triu_indices_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1688582Z   test_meta_inplace_triu_indices_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1688962Z   test_meta_inplace_true_divide_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1689315Z   test_meta_inplace_true_divide_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1689655Z   test_meta_inplace_true_divide_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1690016Z   test_meta_inplace_true_divide_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1690376Z   test_meta_inplace_true_divide_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1690728Z   test_meta_inplace_true_divide_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1691066Z   test_meta_inplace_true_divide_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1691414Z   test_meta_inplace_true_divide_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1691761Z   test_meta_inplace_true_divide_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1692106Z   test_meta_inplace_true_divide_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1692440Z   test_meta_inplace_true_divide_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1692782Z   test_meta_inplace_true_divide_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1693123Z   test_meta_inplace_trunc_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1693450Z   test_meta_inplace_trunc_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1693787Z   test_meta_inplace_trunc_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1694117Z   test_meta_inplace_trunc_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1694447Z   test_meta_inplace_trunc_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1694768Z   test_meta_inplace_trunc_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1695094Z   test_meta_inplace_trunc_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1695425Z   test_meta_inplace_trunc_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1695762Z   test_meta_inplace_unbind_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1696087Z   test_meta_inplace_unbind_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1696430Z   test_meta_inplace_unbind_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1696779Z   test_meta_inplace_unbind_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1697113Z   test_meta_inplace_unbind_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1697448Z   test_meta_inplace_unbind_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1697781Z   test_meta_inplace_unbind_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1698113Z   test_meta_inplace_unbind_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1698434Z   test_meta_inplace_unbind_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1698769Z   test_meta_inplace_unbind_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1699135Z   test_meta_inplace_unbind_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1699469Z   test_meta_inplace_unbind_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1699816Z   test_meta_inplace_unbind_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1700161Z   test_meta_inplace_unflatten_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1700505Z   test_meta_inplace_unflatten_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1700840Z   test_meta_inplace_unflatten_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1701197Z   test_meta_inplace_unflatten_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1701554Z   test_meta_inplace_unflatten_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1701908Z   test_meta_inplace_unflatten_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1702249Z   test_meta_inplace_unflatten_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1702592Z   test_meta_inplace_unflatten_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1702939Z   test_meta_inplace_unflatten_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1703278Z   test_meta_inplace_unflatten_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1703603Z   test_meta_inplace_unflatten_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1703942Z   test_meta_inplace_unflatten_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1704282Z   test_meta_inplace_unflatten_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1704722Z   test_meta_inplace_unfold_copy_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1705062Z   test_meta_inplace_unfold_copy_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1705416Z   test_meta_inplace_unfold_copy_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1705772Z   test_meta_inplace_unfold_copy_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1706114Z   test_meta_inplace_unfold_copy_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1706462Z   test_meta_inplace_unfold_copy_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1706813Z   test_meta_inplace_unfold_copy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1707166Z   test_meta_inplace_unfold_copy_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1707500Z   test_meta_inplace_unfold_copy_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1707848Z   test_meta_inplace_unfold_copy_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1708195Z   test_meta_inplace_unfold_copy_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1708539Z   test_meta_inplace_unfold_copy_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1708870Z   test_meta_inplace_unfold_copy_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1709212Z   test_meta_inplace_unfold_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1709549Z   test_meta_inplace_unfold_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1709926Z   test_meta_inplace_unfold_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1710269Z   test_meta_inplace_unfold_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1710637Z   test_meta_inplace_unfold_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1710977Z   test_meta_inplace_unfold_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1711299Z   test_meta_inplace_unfold_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1711632Z   test_meta_inplace_unfold_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1711965Z   test_meta_inplace_unfold_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1712298Z   test_meta_inplace_unfold_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1712620Z   test_meta_inplace_unfold_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1712952Z   test_meta_inplace_unfold_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
2022-11-23T01:34:00.1713286Z   test_meta_inplace_unfold_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1713610Z   test_meta_inplace_uniform_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1713957Z   test_meta_inplace_uniform_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1714306Z   test_meta_inplace_uniform_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1714652Z   test_meta_inplace_uniform_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1714978Z   test_meta_inplace_uniform_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1715319Z   test_meta_inplace_uniform_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1715677Z   test_meta_inplace_unique_consecutive_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1716048Z   test_meta_inplace_unique_consecutive_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1716402Z   test_meta_inplace_unique_consecutive_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1716768Z   test_meta_inplace_unique_consecutive_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1717268Z   test_meta_inplace_unique_consecutive_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1717644Z   test_meta_inplace_unique_consecutive_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1717990Z   test_meta_inplace_unique_consecutive_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1718349Z   test_meta_inplace_unique_consecutive_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1718707Z   test_meta_inplace_unique_consecutive_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1719046Z   test_meta_inplace_unique_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1719382Z   test_meta_inplace_unique_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1719717Z   test_meta_inplace_unique_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1720051Z   test_meta_inplace_unique_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1720371Z   test_meta_inplace_unique_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1720766Z   test_meta_inplace_unique_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1721096Z   test_meta_inplace_unique_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1721504Z   test_meta_inplace_unique_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1721823Z   test_meta_inplace_unique_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1722167Z   test_meta_inplace_unsqueeze_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1722514Z   test_meta_inplace_unsqueeze_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1722850Z   test_meta_inplace_unsqueeze_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1723206Z   test_meta_inplace_unsqueeze_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1723558Z   test_meta_inplace_unsqueeze_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1723913Z   test_meta_inplace_unsqueeze_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1724246Z   test_meta_inplace_unsqueeze_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1724592Z   test_meta_inplace_unsqueeze_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1724934Z   test_meta_inplace_unsqueeze_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1725271Z   test_meta_inplace_unsqueeze_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1725593Z   test_meta_inplace_unsqueeze_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1725936Z   test_meta_inplace_unsqueeze_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1726273Z   test_meta_inplace_unsqueeze_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1726600Z   test_meta_inplace_var_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1726939Z   test_meta_inplace_var_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1727279Z   test_meta_inplace_var_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1727614Z   test_meta_inplace_var_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1727935Z   test_meta_inplace_var_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1728263Z   test_meta_inplace_var_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1728601Z   test_meta_inplace_var_mean_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1728958Z   test_meta_inplace_var_mean_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1729296Z   test_meta_inplace_var_mean_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1729642Z   test_meta_inplace_var_mean_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1729982Z   test_meta_inplace_var_mean_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1730300Z   test_meta_inplace_var_mean_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1730630Z   test_meta_inplace_vdot_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1730971Z   test_meta_inplace_vdot_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1731163Z   test_meta_inplace_vdot_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1731319Z   test_meta_inplace_vdot_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1731503Z   test_meta_inplace_vdot_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1731648Z   test_meta_inplace_vdot_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1731804Z   test_meta_inplace_vdot_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1731960Z   test_meta_inplace_vdot_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1732115Z   test_meta_inplace_vdot_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1732269Z   test_meta_inplace_vdot_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1732444Z   test_meta_inplace_view_as_complex_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1732617Z   test_meta_inplace_view_as_complex_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1732785Z   test_meta_inplace_view_as_complex_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1732947Z   test_meta_inplace_view_as_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1733090Z   test_meta_inplace_view_as_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1733256Z   test_meta_inplace_view_as_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1733418Z   test_meta_inplace_view_as_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1733582Z   test_meta_inplace_view_as_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1733766Z   test_meta_inplace_view_as_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1733923Z   test_meta_inplace_view_as_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1734076Z   test_meta_inplace_view_as_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1734233Z   test_meta_inplace_view_as_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1734385Z   test_meta_inplace_view_as_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1734521Z   test_meta_inplace_view_as_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1734676Z   test_meta_inplace_view_as_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1734833Z   test_meta_inplace_view_as_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1735006Z   test_meta_inplace_view_as_real_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1735177Z   test_meta_inplace_view_as_real_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1735344Z   test_meta_inplace_view_copy_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1735504Z   test_meta_inplace_view_copy_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1735666Z   test_meta_inplace_view_copy_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1735828Z   test_meta_inplace_view_copy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1735977Z   test_meta_inplace_view_copy_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1736138Z   test_meta_inplace_view_copy_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1736326Z   test_meta_inplace_view_copy_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1736483Z   test_meta_inplace_view_copy_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1736667Z   test_meta_inplace_view_copy_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1736823Z   test_meta_inplace_view_copy_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1736982Z   test_meta_inplace_view_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1737136Z   test_meta_inplace_view_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1737298Z   test_meta_inplace_view_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1737446Z   test_meta_inplace_view_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1737606Z   test_meta_inplace_view_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1737762Z   test_meta_inplace_view_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1737920Z   test_meta_inplace_view_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1738074Z   test_meta_inplace_view_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1738227Z   test_meta_inplace_view_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1738380Z   test_meta_inplace_view_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1738532Z   test_meta_inplace_view_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1738685Z   test_meta_inplace_view_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1738827Z   test_meta_inplace_view_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1738988Z   test_meta_inplace_vsplit_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1739149Z   test_meta_inplace_vsplit_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1739314Z   test_meta_inplace_vsplit_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1739477Z   test_meta_inplace_vsplit_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1739637Z   test_meta_inplace_vsplit_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1739796Z   test_meta_inplace_vsplit_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1739950Z   test_meta_inplace_vsplit_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1740091Z   test_meta_inplace_vsplit_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1740246Z   test_meta_inplace_vsplit_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1740404Z   test_meta_inplace_vsplit_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1740558Z   test_meta_inplace_vsplit_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1740717Z   test_meta_inplace_vsplit_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1740872Z   test_meta_inplace_vsplit_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1741035Z   test_meta_inplace_vstack_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1741193Z   test_meta_inplace_vstack_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1741389Z   test_meta_inplace_vstack_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1741541Z   test_meta_inplace_vstack_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1741726Z   test_meta_inplace_vstack_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1741888Z   test_meta_inplace_vstack_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1742046Z   test_meta_inplace_vstack_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1742199Z   test_meta_inplace_vstack_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1742354Z   test_meta_inplace_vstack_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1742509Z   test_meta_inplace_vstack_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1742668Z   test_meta_inplace_vstack_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1742825Z   test_meta_inplace_vstack_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1742969Z   test_meta_inplace_vstack_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1743129Z   test_meta_inplace_where_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1743284Z   test_meta_inplace_where_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1743448Z   test_meta_inplace_where_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1743611Z   test_meta_inplace_where_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1743770Z   test_meta_inplace_where_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1743929Z   test_meta_inplace_where_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1744083Z   test_meta_inplace_where_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1744236Z   test_meta_inplace_where_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1744464Z   test_meta_inplace_where_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1744624Z   test_meta_inplace_where_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1744781Z   test_meta_inplace_where_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1744934Z   test_meta_inplace_where_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1745088Z   test_meta_inplace_where_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1745250Z   test_meta_inplace_xlogy_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1745405Z   test_meta_inplace_xlogy_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1745566Z   test_meta_inplace_xlogy_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1745708Z   test_meta_inplace_xlogy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1745859Z   test_meta_inplace_xlogy_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1746012Z   test_meta_inplace_xlogy_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1746167Z   test_meta_inplace_xlogy_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1746319Z   test_meta_inplace_xlogy_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1746533Z   test_meta_inplace_xlogy_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1746686Z   test_meta_inplace_xlogy_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1746877Z   test_meta_inplace_zero__cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1747032Z   test_meta_inplace_zero__cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.003s)
2022-11-23T01:34:00.1747182Z   test_meta_inplace_zero__cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1747344Z   test_meta_inplace_zero__cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1747500Z   test_meta_inplace_zero__cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1747654Z   test_meta_inplace_zero__cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1747807Z   test_meta_inplace_zero__cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1747961Z   test_meta_inplace_zero__cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1748118Z   test_meta_inplace_zero__cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1748272Z   test_meta_inplace_zero__cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1748422Z   test_meta_inplace_zero__cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1748561Z   test_meta_inplace_zero__cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1748720Z   test_meta_inplace_zeros_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1748874Z   test_meta_inplace_zeros_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1749041Z   test_meta_inplace_zeros_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1749203Z   test_meta_inplace_zeros_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1749363Z   test_meta_inplace_zeros_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1749520Z   test_meta_inplace_zeros_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1749673Z   test_meta_inplace_zeros_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1749826Z   test_meta_inplace_zeros_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1749967Z   test_meta_inplace_zeros_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1750121Z   test_meta_inplace_zeros_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1750274Z   test_meta_inplace_zeros_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1750426Z   test_meta_inplace_zeros_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1750581Z   test_meta_inplace_zeros_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1750746Z   test_meta_inplace_zeros_like_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1750904Z   test_meta_inplace_zeros_like_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1751073Z   test_meta_inplace_zeros_like_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1751240Z   test_meta_inplace_zeros_like_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1751393Z   test_meta_inplace_zeros_like_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1751591Z   test_meta_inplace_zeros_like_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1751755Z   test_meta_inplace_zeros_like_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1751944Z   test_meta_inplace_zeros_like_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1752106Z   test_meta_inplace_zeros_like_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1752261Z   test_meta_inplace_zeros_like_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1752414Z   test_meta_inplace_zeros_like_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1752574Z   test_meta_inplace_zeros_like_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1752716Z   test_meta_inplace_zeros_like_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1752875Z   test_meta_outplace_H_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1753030Z   test_meta_outplace_H_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1753197Z   test_meta_outplace_H_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1753354Z   test_meta_outplace_H_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1753511Z   test_meta_outplace_H_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1753667Z   test_meta_outplace_H_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1753821Z   test_meta_outplace_H_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1753975Z   test_meta_outplace_H_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1754118Z   test_meta_outplace_H_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1754269Z   test_meta_outplace_H_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1754419Z   test_meta_outplace_H_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1754571Z   test_meta_outplace_H_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1754718Z   test_meta_outplace_H_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1754873Z   test_meta_outplace_T_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1755025Z   test_meta_outplace_T_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1755184Z   test_meta_outplace_T_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1755344Z   test_meta_outplace_T_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1755489Z   test_meta_outplace_T_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1755645Z   test_meta_outplace_T_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1755800Z   test_meta_outplace_T_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1755953Z   test_meta_outplace_T_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1756106Z   test_meta_outplace_T_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1756255Z   test_meta_outplace_T_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1756402Z   test_meta_outplace_T_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1756584Z   test_meta_outplace_T_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1756717Z   test_meta_outplace_T_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1756913Z   test_meta_outplace___getitem___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1757078Z   test_meta_outplace___getitem___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1757442Z   test_meta_outplace___getitem___cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1757614Z   test_meta_outplace___getitem___cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1757782Z   test_meta_outplace___getitem___cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1757947Z   test_meta_outplace___getitem___cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1758114Z   test_meta_outplace___getitem___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1758278Z   test_meta_outplace___getitem___cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1758444Z   test_meta_outplace___getitem___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1758594Z   test_meta_outplace___getitem___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1758754Z   test_meta_outplace___getitem___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1758915Z   test_meta_outplace___getitem___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1759075Z   test_meta_outplace___getitem___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1759240Z   test_meta_outplace___radd___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1759401Z   test_meta_outplace___radd___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1759569Z   test_meta_outplace___radd___cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1759732Z   test_meta_outplace___radd___cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1759893Z   test_meta_outplace___radd___cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1760043Z   test_meta_outplace___radd___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1760203Z   test_meta_outplace___radd___cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1760361Z   test_meta_outplace___radd___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1760518Z   test_meta_outplace___radd___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1760669Z   test_meta_outplace___radd___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1760827Z   test_meta_outplace___radd___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1760982Z   test_meta_outplace___radd___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1761136Z   test_meta_outplace___rand___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1761275Z   test_meta_outplace___rand___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1761425Z   test_meta_outplace___rand___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1761572Z   test_meta_outplace___rand___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1761786Z   test_meta_outplace___rand___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1761937Z   test_meta_outplace___rand___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1762136Z   test_meta_outplace___rdiv___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1762296Z   test_meta_outplace___rdiv___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1762461Z   test_meta_outplace___rdiv___cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1762627Z   test_meta_outplace___rdiv___cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1762776Z   test_meta_outplace___rdiv___cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1762937Z   test_meta_outplace___rdiv___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1763099Z   test_meta_outplace___rdiv___cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1763259Z   test_meta_outplace___rdiv___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1763416Z   test_meta_outplace___rdiv___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1763567Z   test_meta_outplace___rdiv___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1763726Z   test_meta_outplace___rdiv___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1763878Z   test_meta_outplace___rdiv___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1764043Z   test_meta_outplace___rmatmul___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1764201Z   test_meta_outplace___rmatmul___cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1764370Z   test_meta_outplace___rmatmul___cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1764536Z   test_meta_outplace___rmatmul___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1764702Z   test_meta_outplace___rmatmul___cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1764863Z   test_meta_outplace___rmatmul___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1765022Z   test_meta_outplace___rmatmul___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1765183Z   test_meta_outplace___rmatmul___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1765345Z   test_meta_outplace___rmatmul___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1765506Z   test_meta_outplace___rmatmul___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1765655Z   test_meta_outplace___rmod___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1765818Z   test_meta_outplace___rmod___cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1765978Z   test_meta_outplace___rmod___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1766142Z   test_meta_outplace___rmod___cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1766300Z   test_meta_outplace___rmul___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1766458Z   test_meta_outplace___rmul___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1766623Z   test_meta_outplace___rmul___cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1766818Z   test_meta_outplace___rmul___cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1766976Z   test_meta_outplace___rmul___cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1767148Z   test_meta_outplace___rmul___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1767308Z   test_meta_outplace___rmul___cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1767466Z   test_meta_outplace___rmul___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1767619Z   test_meta_outplace___rmul___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1767772Z   test_meta_outplace___rmul___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1767928Z   test_meta_outplace___rmul___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1768082Z   test_meta_outplace___rmul___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1768237Z   test_meta_outplace___ror___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1768392Z   test_meta_outplace___ror___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1768530Z   test_meta_outplace___ror___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1768679Z   test_meta_outplace___ror___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1768832Z   test_meta_outplace___ror___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1768982Z   test_meta_outplace___ror___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1769143Z   test_meta_outplace___rpow___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1769314Z   test_meta_outplace___rpow___cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1769477Z   test_meta_outplace___rpow___cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1769641Z   test_meta_outplace___rpow___cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1769799Z   test_meta_outplace___rpow___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1769946Z   test_meta_outplace___rpow___cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1770106Z   test_meta_outplace___rpow___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1770260Z   test_meta_outplace___rpow___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1770410Z   test_meta_outplace___rpow___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1770568Z   test_meta_outplace___rpow___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1770724Z   test_meta_outplace___rpow___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1770884Z   test_meta_outplace___rsub___cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1771048Z   test_meta_outplace___rsub___cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1771210Z   test_meta_outplace___rsub___cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1771358Z   test_meta_outplace___rsub___cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1771516Z   test_meta_outplace___rsub___cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1771714Z   test_meta_outplace___rsub___cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1771869Z   test_meta_outplace___rsub___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1772052Z   test_meta_outplace___rsub___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1772203Z   test_meta_outplace___rsub___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1772358Z   test_meta_outplace___rsub___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1772509Z   test_meta_outplace___rsub___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1772662Z   test_meta_outplace___rxor___cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1772800Z   test_meta_outplace___rxor___cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1772953Z   test_meta_outplace___rxor___cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1773100Z   test_meta_outplace___rxor___cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.003s)
2022-11-23T01:34:00.1773254Z   test_meta_outplace___rxor___cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1773404Z   test_meta_outplace___rxor___cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1773585Z   test_meta_outplace__softmax_backward_data_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1773766Z   test_meta_outplace__softmax_backward_data_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1773939Z   test_meta_outplace__softmax_backward_data_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1774100Z   test_meta_outplace_abs_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1774245Z   test_meta_outplace_abs_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1774400Z   test_meta_outplace_abs_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1774555Z   test_meta_outplace_abs_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1774711Z   test_meta_outplace_abs_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1774868Z   test_meta_outplace_abs_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1775023Z   test_meta_outplace_abs_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1775179Z   test_meta_outplace_abs_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1775333Z   test_meta_outplace_abs_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1775479Z   test_meta_outplace_abs_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1775633Z   test_meta_outplace_abs_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1775788Z   test_meta_outplace_abs_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1775946Z   test_meta_outplace_acos_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1776099Z   test_meta_outplace_acos_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1776263Z   test_meta_outplace_acos_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1776424Z   test_meta_outplace_acos_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1776582Z   test_meta_outplace_acos_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1776766Z   test_meta_outplace_acos_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1776911Z   test_meta_outplace_acos_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1777095Z   test_meta_outplace_acos_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1777251Z   test_meta_outplace_acos_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1777403Z   test_meta_outplace_acos_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1777557Z   test_meta_outplace_acos_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1777718Z   test_meta_outplace_acosh_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1777873Z   test_meta_outplace_acosh_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1778042Z   test_meta_outplace_acosh_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1778206Z   test_meta_outplace_acosh_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1778354Z   test_meta_outplace_acosh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1778508Z   test_meta_outplace_acosh_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1778664Z   test_meta_outplace_acosh_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1778819Z   test_meta_outplace_acosh_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1778974Z   test_meta_outplace_acosh_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1779127Z   test_meta_outplace_acosh_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1779283Z   test_meta_outplace_acosh_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1779443Z   test_meta_outplace_add_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1779601Z   test_meta_outplace_add_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1779751Z   test_meta_outplace_add_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1779910Z   test_meta_outplace_add_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1780064Z   test_meta_outplace_add_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1780220Z   test_meta_outplace_add_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1780377Z   test_meta_outplace_add_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1780534Z   test_meta_outplace_add_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1780690Z   test_meta_outplace_add_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1780844Z   test_meta_outplace_add_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1780985Z   test_meta_outplace_add_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1781139Z   test_meta_outplace_add_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1781289Z   test_meta_outplace_add_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1781453Z   test_meta_outplace_addbmm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1781619Z   test_meta_outplace_addbmm_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1781828Z   test_meta_outplace_addbmm_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1781991Z   test_meta_outplace_addbmm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1782179Z   test_meta_outplace_addbmm_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1782339Z   test_meta_outplace_addbmm_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1782481Z   test_meta_outplace_addbmm_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1782634Z   test_meta_outplace_addbmm_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1782789Z   test_meta_outplace_addbmm_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1782949Z   test_meta_outplace_addbmm_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1783115Z   test_meta_outplace_addcdiv_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1783283Z   test_meta_outplace_addcdiv_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1783452Z   test_meta_outplace_addcdiv_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1783614Z   test_meta_outplace_addcdiv_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1783771Z   test_meta_outplace_addcdiv_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1783922Z   test_meta_outplace_addcmul_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1784089Z   test_meta_outplace_addcmul_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1784254Z   test_meta_outplace_addcmul_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1784492Z   test_meta_outplace_addcmul_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1784662Z   test_meta_outplace_addcmul_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1784823Z   test_meta_outplace_addcmul_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1784977Z   test_meta_outplace_addcmul_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1785128Z   test_meta_outplace_addcmul_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1785287Z   test_meta_outplace_addcmul_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1785429Z   test_meta_outplace_addcmul_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1785589Z   test_meta_outplace_addmm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1785755Z   test_meta_outplace_addmm_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1785920Z   test_meta_outplace_addmm_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1786079Z   test_meta_outplace_addmm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1786234Z   test_meta_outplace_addmm_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1786388Z   test_meta_outplace_addmm_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1786545Z   test_meta_outplace_addmm_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1786699Z   test_meta_outplace_addmm_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1786845Z   test_meta_outplace_addmm_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1787036Z   test_meta_outplace_addmm_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1787241Z   test_meta_outplace_addmm_decomposed_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1787422Z   test_meta_outplace_addmm_decomposed_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1787600Z   test_meta_outplace_addmm_decomposed_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1787775Z   test_meta_outplace_addmm_decomposed_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1787950Z   test_meta_outplace_addmm_decomposed_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1788122Z   test_meta_outplace_addmm_decomposed_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1788297Z   test_meta_outplace_addmm_decomposed_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1788453Z   test_meta_outplace_addmm_decomposed_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1788627Z   test_meta_outplace_addmm_decomposed_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1788792Z   test_meta_outplace_addmm_decomposed_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1788953Z   test_meta_outplace_addmv_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1789115Z   test_meta_outplace_addmv_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1789279Z   test_meta_outplace_addmv_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1789440Z   test_meta_outplace_addmv_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1789599Z   test_meta_outplace_addmv_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1789756Z   test_meta_outplace_addmv_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1789900Z   test_meta_outplace_addmv_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1790057Z   test_meta_outplace_addmv_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1790214Z   test_meta_outplace_addmv_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1790367Z   test_meta_outplace_addmv_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1790528Z   test_meta_outplace_addr_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1790682Z   test_meta_outplace_addr_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1790848Z   test_meta_outplace_addr_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1791011Z   test_meta_outplace_addr_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1791170Z   test_meta_outplace_addr_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1791312Z   test_meta_outplace_addr_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1791463Z   test_meta_outplace_addr_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1791619Z   test_meta_outplace_addr_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1791776Z   test_meta_outplace_addr_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1791932Z   test_meta_outplace_addr_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1792118Z   test_meta_outplace_addr_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1792271Z   test_meta_outplace_addr_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1792456Z   test_meta_outplace_all_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1792598Z   test_meta_outplace_all_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1792760Z   test_meta_outplace_all_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1792919Z   test_meta_outplace_all_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1793074Z   test_meta_outplace_all_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1793228Z   test_meta_outplace_all_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1793387Z   test_meta_outplace_all_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1793540Z   test_meta_outplace_all_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1793696Z   test_meta_outplace_all_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1793847Z   test_meta_outplace_all_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1793989Z   test_meta_outplace_all_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1794140Z   test_meta_outplace_all_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1794306Z   test_meta_outplace_allclose_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1794477Z   test_meta_outplace_allclose_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1794648Z   test_meta_outplace_allclose_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1794811Z   test_meta_outplace_allclose_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1794977Z   test_meta_outplace_allclose_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1795140Z   test_meta_outplace_allclose_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1795301Z   test_meta_outplace_amax_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1795444Z   test_meta_outplace_amax_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1795602Z   test_meta_outplace_amax_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1795755Z   test_meta_outplace_amax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1795909Z   test_meta_outplace_amax_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1796067Z   test_meta_outplace_amax_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1796224Z   test_meta_outplace_amax_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1796378Z   test_meta_outplace_amax_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1796534Z   test_meta_outplace_amax_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1796689Z   test_meta_outplace_amax_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1796836Z   test_meta_outplace_amin_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1796990Z   test_meta_outplace_amin_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1797337Z   test_meta_outplace_amin_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1797554Z   test_meta_outplace_amin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1797809Z   test_meta_outplace_amin_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1797966Z   test_meta_outplace_amin_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1798122Z   test_meta_outplace_amin_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1798273Z   test_meta_outplace_amin_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1798414Z   test_meta_outplace_amin_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1798567Z   test_meta_outplace_amin_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1798729Z   test_meta_outplace_aminmax_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1798896Z   test_meta_outplace_aminmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1799056Z   test_meta_outplace_aminmax_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1799215Z   test_meta_outplace_aminmax_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1799369Z   test_meta_outplace_aminmax_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1799525Z   test_meta_outplace_aminmax_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1799680Z   test_meta_outplace_aminmax_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1799821Z   test_meta_outplace_aminmax_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1799986Z   test_meta_outplace_angle_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1800141Z   test_meta_outplace_angle_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.003s)
2022-11-23T01:34:00.1800307Z   test_meta_outplace_angle_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1800471Z   test_meta_outplace_angle_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1800626Z   test_meta_outplace_angle_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1800781Z   test_meta_outplace_angle_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1800932Z   test_meta_outplace_angle_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1801089Z   test_meta_outplace_angle_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1801236Z   test_meta_outplace_angle_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1801390Z   test_meta_outplace_angle_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1801548Z   test_meta_outplace_angle_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1801707Z   test_meta_outplace_angle_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1801864Z   test_meta_outplace_any_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1802018Z   test_meta_outplace_any_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1802181Z   test_meta_outplace_any_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1802339Z   test_meta_outplace_any_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1802535Z   test_meta_outplace_any_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1802678Z   test_meta_outplace_any_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1802860Z   test_meta_outplace_any_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1803013Z   test_meta_outplace_any_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1803170Z   test_meta_outplace_any_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1803323Z   test_meta_outplace_any_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1803476Z   test_meta_outplace_any_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1803625Z   test_meta_outplace_any_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1803793Z   test_meta_outplace_arange_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1803953Z   test_meta_outplace_arange_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1804100Z   test_meta_outplace_arange_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1804256Z   test_meta_outplace_arange_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1804414Z   test_meta_outplace_arange_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1804568Z   test_meta_outplace_arange_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1804720Z   test_meta_outplace_arange_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1804875Z   test_meta_outplace_arange_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1805036Z   test_meta_outplace_arange_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1805199Z   test_meta_outplace_argmax_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1805351Z   test_meta_outplace_argmax_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1805506Z   test_meta_outplace_argmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1805660Z   test_meta_outplace_argmax_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1805817Z   test_meta_outplace_argmax_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1805970Z   test_meta_outplace_argmax_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1806121Z   test_meta_outplace_argmax_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1806278Z   test_meta_outplace_argmax_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1806438Z   test_meta_outplace_argmax_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1806601Z   test_meta_outplace_argmin_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1806751Z   test_meta_outplace_argmin_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1806909Z   test_meta_outplace_argmin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1807064Z   test_meta_outplace_argmin_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1807221Z   test_meta_outplace_argmin_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1807373Z   test_meta_outplace_argmin_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1807586Z   test_meta_outplace_argmin_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1807741Z   test_meta_outplace_argmin_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1807925Z   test_meta_outplace_argmin_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1808090Z   test_meta_outplace_argsort_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1808232Z   test_meta_outplace_argsort_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1808392Z   test_meta_outplace_argsort_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1808550Z   test_meta_outplace_argsort_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1808706Z   test_meta_outplace_argsort_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1808867Z   test_meta_outplace_argsort_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1809026Z   test_meta_outplace_argsort_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1809181Z   test_meta_outplace_argsort_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1809335Z   test_meta_outplace_argsort_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1809488Z   test_meta_outplace_argsort_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1809642Z   test_meta_outplace_argwhere_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1809801Z   test_meta_outplace_argwhere_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1809972Z   test_meta_outplace_argwhere_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1810142Z   test_meta_outplace_argwhere_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1810308Z   test_meta_outplace_argwhere_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1810472Z   test_meta_outplace_argwhere_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1810635Z   test_meta_outplace_argwhere_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1810797Z   test_meta_outplace_argwhere_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1810953Z   test_meta_outplace_argwhere_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1811095Z   test_meta_outplace_argwhere_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1811258Z   test_meta_outplace_argwhere_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1811412Z   test_meta_outplace_argwhere_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1811582Z   test_meta_outplace_as_strided_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1811749Z   test_meta_outplace_as_strided_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1811920Z   test_meta_outplace_as_strided_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1812089Z   test_meta_outplace_as_strided_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1812257Z   test_meta_outplace_as_strided_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1812421Z   test_meta_outplace_as_strided_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1812604Z   test_meta_outplace_as_strided_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1812769Z   test_meta_outplace_as_strided_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1812958Z   test_meta_outplace_as_strided_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1813119Z   test_meta_outplace_as_strided_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1813281Z   test_meta_outplace_as_strided_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1813441Z   test_meta_outplace_as_strided_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1813602Z   test_meta_outplace_as_strided_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1813779Z   test_meta_outplace_as_strided_scatter_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1813952Z   test_meta_outplace_as_strided_scatter_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1814122Z   test_meta_outplace_as_strided_scatter_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1814300Z   test_meta_outplace_as_strided_scatter_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1814472Z   test_meta_outplace_as_strided_scatter_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1814645Z   test_meta_outplace_as_strided_scatter_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1814820Z   test_meta_outplace_as_strided_scatter_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1814996Z   test_meta_outplace_as_strided_scatter_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1815170Z   test_meta_outplace_as_strided_scatter_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1815341Z   test_meta_outplace_as_strided_scatter_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1815513Z   test_meta_outplace_as_strided_scatter_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1815672Z   test_meta_outplace_as_strided_scatter_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1815844Z   test_meta_outplace_as_strided_scatter_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1816007Z   test_meta_outplace_asin_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1816163Z   test_meta_outplace_asin_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1816328Z   test_meta_outplace_asin_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1816489Z   test_meta_outplace_asin_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1816648Z   test_meta_outplace_asin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1816802Z   test_meta_outplace_asin_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1816958Z   test_meta_outplace_asin_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1817101Z   test_meta_outplace_asin_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1817253Z   test_meta_outplace_asin_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1817407Z   test_meta_outplace_asin_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1817604Z   test_meta_outplace_asin_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1817765Z   test_meta_outplace_asinh_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1817946Z   test_meta_outplace_asinh_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1818113Z   test_meta_outplace_asinh_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1818276Z   test_meta_outplace_asinh_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1818434Z   test_meta_outplace_asinh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1818577Z   test_meta_outplace_asinh_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1818732Z   test_meta_outplace_asinh_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1818890Z   test_meta_outplace_asinh_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1819045Z   test_meta_outplace_asinh_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1819200Z   test_meta_outplace_asinh_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1819353Z   test_meta_outplace_asinh_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1819515Z   test_meta_outplace_atan2_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1819669Z   test_meta_outplace_atan2_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1819829Z   test_meta_outplace_atan2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1819972Z   test_meta_outplace_atan2_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1820129Z   test_meta_outplace_atan2_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1820284Z   test_meta_outplace_atan2_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1820438Z   test_meta_outplace_atan2_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1820592Z   test_meta_outplace_atan2_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1820745Z   test_meta_outplace_atan2_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1820905Z   test_meta_outplace_atan_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1821060Z   test_meta_outplace_atan_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1821212Z   test_meta_outplace_atan_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1821377Z   test_meta_outplace_atan_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1821535Z   test_meta_outplace_atan_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1821690Z   test_meta_outplace_atan_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1821846Z   test_meta_outplace_atan_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1821999Z   test_meta_outplace_atan_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1822154Z   test_meta_outplace_atan_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1822306Z   test_meta_outplace_atan_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1822460Z   test_meta_outplace_atan_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1822638Z   test_meta_outplace_atanh_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1822793Z   test_meta_outplace_atanh_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1822988Z   test_meta_outplace_atanh_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1823151Z   test_meta_outplace_atanh_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1823311Z   test_meta_outplace_atanh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1823463Z   test_meta_outplace_atanh_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1823618Z   test_meta_outplace_atanh_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1823775Z   test_meta_outplace_atanh_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1823931Z   test_meta_outplace_atanh_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1824075Z   test_meta_outplace_atanh_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1824229Z   test_meta_outplace_atanh_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1824470Z   test_meta_outplace_atleast_1d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1824638Z   test_meta_outplace_atleast_1d_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1824808Z   test_meta_outplace_atleast_1d_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1824977Z   test_meta_outplace_atleast_1d_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1825144Z   test_meta_outplace_atleast_1d_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1825311Z   test_meta_outplace_atleast_1d_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1825476Z   test_meta_outplace_atleast_1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1825629Z   test_meta_outplace_atleast_1d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1825795Z   test_meta_outplace_atleast_1d_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1825956Z   test_meta_outplace_atleast_1d_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1826119Z   test_meta_outplace_atleast_1d_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1826278Z   test_meta_outplace_atleast_1d_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1826438Z   test_meta_outplace_atleast_1d_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1826608Z   test_meta_outplace_atleast_2d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1826770Z   test_meta_outplace_atleast_2d_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1826941Z   test_meta_outplace_atleast_2d_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1827096Z   test_meta_outplace_atleast_2d_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.003s)
2022-11-23T01:34:00.1827262Z   test_meta_outplace_atleast_2d_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1827425Z   test_meta_outplace_atleast_2d_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1827590Z   test_meta_outplace_atleast_2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1827797Z   test_meta_outplace_atleast_2d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1827959Z   test_meta_outplace_atleast_2d_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1828145Z   test_meta_outplace_atleast_2d_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1828307Z   test_meta_outplace_atleast_2d_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1828467Z   test_meta_outplace_atleast_2d_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1828618Z   test_meta_outplace_atleast_2d_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1828786Z   test_meta_outplace_atleast_3d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1828949Z   test_meta_outplace_atleast_3d_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1829120Z   test_meta_outplace_atleast_3d_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1829286Z   test_meta_outplace_atleast_3d_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1829457Z   test_meta_outplace_atleast_3d_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1829622Z   test_meta_outplace_atleast_3d_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1829785Z   test_meta_outplace_atleast_3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1829950Z   test_meta_outplace_atleast_3d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1830099Z   test_meta_outplace_atleast_3d_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1830259Z   test_meta_outplace_atleast_3d_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1830421Z   test_meta_outplace_atleast_3d_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1830581Z   test_meta_outplace_atleast_3d_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1830743Z   test_meta_outplace_atleast_3d_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1830904Z   test_meta_outplace_baddbmm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1831072Z   test_meta_outplace_baddbmm_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1831241Z   test_meta_outplace_baddbmm_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1831401Z   test_meta_outplace_baddbmm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1831546Z   test_meta_outplace_baddbmm_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1831707Z   test_meta_outplace_baddbmm_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1831864Z   test_meta_outplace_baddbmm_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1832016Z   test_meta_outplace_baddbmm_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1832174Z   test_meta_outplace_baddbmm_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1832328Z   test_meta_outplace_baddbmm_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1832494Z   test_meta_outplace_bernoulli_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1832660Z   test_meta_outplace_bernoulli_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1832860Z   test_meta_outplace_bernoulli_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1833011Z   test_meta_outplace_bfloat16_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1833192Z   test_meta_outplace_bfloat16_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1833361Z   test_meta_outplace_bfloat16_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1833529Z   test_meta_outplace_bfloat16_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1833693Z   test_meta_outplace_bfloat16_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1833856Z   test_meta_outplace_bfloat16_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1834018Z   test_meta_outplace_bfloat16_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1834181Z   test_meta_outplace_bfloat16_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1834340Z   test_meta_outplace_bfloat16_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1834486Z   test_meta_outplace_bfloat16_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1834639Z   test_meta_outplace_bfloat16_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1834795Z   test_meta_outplace_bfloat16_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1834949Z   test_meta_outplace_bfloat16_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1835103Z   test_meta_outplace_bincount_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1835255Z   test_meta_outplace_bincount_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1835407Z   test_meta_outplace_bincount_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1835564Z   test_meta_outplace_bincount_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1835708Z   test_meta_outplace_bincount_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1835871Z   test_meta_outplace_bitwise_and_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1836034Z   test_meta_outplace_bitwise_and_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1836200Z   test_meta_outplace_bitwise_and_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1836363Z   test_meta_outplace_bitwise_and_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1836525Z   test_meta_outplace_bitwise_and_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1836687Z   test_meta_outplace_bitwise_and_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1836858Z   test_meta_outplace_bitwise_left_shift_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1837032Z   test_meta_outplace_bitwise_left_shift_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1837309Z   test_meta_outplace_bitwise_left_shift_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1837481Z   test_meta_outplace_bitwise_left_shift_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1837650Z   test_meta_outplace_bitwise_left_shift_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1837812Z   test_meta_outplace_bitwise_not_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1838026Z   test_meta_outplace_bitwise_not_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1838187Z   test_meta_outplace_bitwise_not_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1838383Z   test_meta_outplace_bitwise_not_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1838544Z   test_meta_outplace_bitwise_not_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1838704Z   test_meta_outplace_bitwise_not_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1838854Z   test_meta_outplace_bitwise_or_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1839014Z   test_meta_outplace_bitwise_or_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1839175Z   test_meta_outplace_bitwise_or_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1839335Z   test_meta_outplace_bitwise_or_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1839498Z   test_meta_outplace_bitwise_or_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1839662Z   test_meta_outplace_bitwise_or_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1839835Z   test_meta_outplace_bitwise_right_shift_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1840009Z   test_meta_outplace_bitwise_right_shift_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1840179Z   test_meta_outplace_bitwise_right_shift_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1840350Z   test_meta_outplace_bitwise_right_shift_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1840511Z   test_meta_outplace_bitwise_right_shift_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1840674Z   test_meta_outplace_bitwise_xor_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1840837Z   test_meta_outplace_bitwise_xor_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1841001Z   test_meta_outplace_bitwise_xor_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1841162Z   test_meta_outplace_bitwise_xor_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1841322Z   test_meta_outplace_bitwise_xor_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1841481Z   test_meta_outplace_bitwise_xor_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1841649Z   test_meta_outplace_block_diag_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1841813Z   test_meta_outplace_block_diag_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1841971Z   test_meta_outplace_block_diag_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1842141Z   test_meta_outplace_block_diag_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1842311Z   test_meta_outplace_block_diag_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1842477Z   test_meta_outplace_block_diag_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1842642Z   test_meta_outplace_block_diag_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1842807Z   test_meta_outplace_block_diag_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1842969Z   test_meta_outplace_block_diag_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1843167Z   test_meta_outplace_block_diag_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1843329Z   test_meta_outplace_block_diag_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1843505Z   test_meta_outplace_block_diag_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1843669Z   test_meta_outplace_block_diag_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1843829Z   test_meta_outplace_bmm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1843991Z   test_meta_outplace_bmm_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1844151Z   test_meta_outplace_bmm_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1844308Z   test_meta_outplace_bmm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1844467Z   test_meta_outplace_bmm_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1844623Z   test_meta_outplace_bmm_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1844764Z   test_meta_outplace_bmm_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1844920Z   test_meta_outplace_bmm_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1845073Z   test_meta_outplace_bmm_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1845225Z   test_meta_outplace_bmm_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1845384Z   test_meta_outplace_bool_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1845537Z   test_meta_outplace_bool_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1845703Z   test_meta_outplace_bool_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1845865Z   test_meta_outplace_bool_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1846024Z   test_meta_outplace_bool_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1846170Z   test_meta_outplace_bool_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1846324Z   test_meta_outplace_bool_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1846474Z   test_meta_outplace_bool_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1846631Z   test_meta_outplace_bool_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1846787Z   test_meta_outplace_bool_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1846943Z   test_meta_outplace_bool_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1847096Z   test_meta_outplace_bool_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1847251Z   test_meta_outplace_bool_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1847427Z   test_meta_outplace_broadcast_shapes_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1847593Z   test_meta_outplace_broadcast_tensors_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1847765Z   test_meta_outplace_broadcast_tensors_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1847944Z   test_meta_outplace_broadcast_tensors_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1848147Z   test_meta_outplace_broadcast_tensors_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1848322Z   test_meta_outplace_broadcast_tensors_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1848527Z   test_meta_outplace_broadcast_tensors_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1848704Z   test_meta_outplace_broadcast_tensors_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1848874Z   test_meta_outplace_broadcast_tensors_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1849043Z   test_meta_outplace_broadcast_tensors_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1849197Z   test_meta_outplace_broadcast_tensors_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1849367Z   test_meta_outplace_broadcast_tensors_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1849537Z   test_meta_outplace_broadcast_tensors_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1849707Z   test_meta_outplace_broadcast_to_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1849873Z   test_meta_outplace_broadcast_to_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1850047Z   test_meta_outplace_broadcast_to_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1850219Z   test_meta_outplace_broadcast_to_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1850389Z   test_meta_outplace_broadcast_to_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1850556Z   test_meta_outplace_broadcast_to_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1850711Z   test_meta_outplace_broadcast_to_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1850877Z   test_meta_outplace_broadcast_to_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1851043Z   test_meta_outplace_broadcast_to_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1851209Z   test_meta_outplace_broadcast_to_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1851372Z   test_meta_outplace_broadcast_to_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1851535Z   test_meta_outplace_broadcast_to_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1851699Z   test_meta_outplace_bucketize_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1851865Z   test_meta_outplace_bucketize_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1852031Z   test_meta_outplace_bucketize_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1852184Z   test_meta_outplace_bucketize_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1852348Z   test_meta_outplace_bucketize_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1852506Z   test_meta_outplace_bucketize_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1852661Z   test_meta_outplace_bucketize_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1852821Z   test_meta_outplace_bucketize_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1852978Z   test_meta_outplace_bucketize_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1853138Z   test_meta_outplace_byte_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1853331Z   test_meta_outplace_byte_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1853519Z   test_meta_outplace_byte_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1853672Z   test_meta_outplace_byte_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1853832Z   test_meta_outplace_byte_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1853985Z   test_meta_outplace_byte_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1854136Z   test_meta_outplace_byte_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1854292Z   test_meta_outplace_byte_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1854447Z   test_meta_outplace_byte_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
2022-11-23T01:34:00.1854604Z   test_meta_outplace_byte_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1854758Z   test_meta_outplace_byte_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1854912Z   test_meta_outplace_byte_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1855072Z   test_meta_outplace_cartesian_prod_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1855241Z   test_meta_outplace_cartesian_prod_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1855419Z   test_meta_outplace_cartesian_prod_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1855591Z   test_meta_outplace_cartesian_prod_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1855768Z   test_meta_outplace_cartesian_prod_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1855939Z   test_meta_outplace_cartesian_prod_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1856110Z   test_meta_outplace_cartesian_prod_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1856277Z   test_meta_outplace_cartesian_prod_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1856445Z   test_meta_outplace_cartesian_prod_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1856596Z   test_meta_outplace_cartesian_prod_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1856761Z   test_meta_outplace_cartesian_prod_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1856929Z   test_meta_outplace_cartesian_prod_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1857090Z   test_meta_outplace_cat_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1857246Z   test_meta_outplace_cat_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1857412Z   test_meta_outplace_cat_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1857572Z   test_meta_outplace_cat_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1857731Z   test_meta_outplace_cat_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1857888Z   test_meta_outplace_cat_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1858033Z   test_meta_outplace_cat_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1858189Z   test_meta_outplace_cat_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1858372Z   test_meta_outplace_cat_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1858527Z   test_meta_outplace_cat_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1858708Z   test_meta_outplace_cat_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1858864Z   test_meta_outplace_cat_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1859015Z   test_meta_outplace_cat_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1859173Z   test_meta_outplace_cdist_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1859328Z   test_meta_outplace_cdist_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1859482Z   test_meta_outplace_cdouble_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1859644Z   test_meta_outplace_cdouble_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1859811Z   test_meta_outplace_cdouble_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1859979Z   test_meta_outplace_cdouble_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1860145Z   test_meta_outplace_cdouble_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1860307Z   test_meta_outplace_cdouble_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1860465Z   test_meta_outplace_cdouble_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1860621Z   test_meta_outplace_cdouble_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1860779Z   test_meta_outplace_cdouble_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1860923Z   test_meta_outplace_cdouble_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1861079Z   test_meta_outplace_cdouble_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1861237Z   test_meta_outplace_cdouble_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1861390Z   test_meta_outplace_cdouble_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1861542Z   test_meta_outplace_ceil_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1861697Z   test_meta_outplace_ceil_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1861849Z   test_meta_outplace_ceil_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1862005Z   test_meta_outplace_ceil_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1862153Z   test_meta_outplace_ceil_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1862308Z   test_meta_outplace_ceil_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1862463Z   test_meta_outplace_ceil_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1862616Z   test_meta_outplace_ceil_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1862780Z   test_meta_outplace_cfloat_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1862938Z   test_meta_outplace_cfloat_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1863103Z   test_meta_outplace_cfloat_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1863265Z   test_meta_outplace_cfloat_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1863460Z   test_meta_outplace_cfloat_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1863640Z   test_meta_outplace_cfloat_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1863799Z   test_meta_outplace_cfloat_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1863952Z   test_meta_outplace_cfloat_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1864108Z   test_meta_outplace_cfloat_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1864262Z   test_meta_outplace_cfloat_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1864490Z   test_meta_outplace_cfloat_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1864648Z   test_meta_outplace_cfloat_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1864810Z   test_meta_outplace_cfloat_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1864973Z   test_meta_outplace_chalf_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1865117Z   test_meta_outplace_chalf_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1865280Z   test_meta_outplace_chalf_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1865443Z   test_meta_outplace_chalf_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1865600Z   test_meta_outplace_chalf_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1865760Z   test_meta_outplace_chalf_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1865918Z   test_meta_outplace_chalf_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1866072Z   test_meta_outplace_chalf_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1866229Z   test_meta_outplace_chalf_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1866384Z   test_meta_outplace_chalf_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1866528Z   test_meta_outplace_chalf_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1866685Z   test_meta_outplace_chalf_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1866840Z   test_meta_outplace_chalf_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1867000Z   test_meta_outplace_char_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1867157Z   test_meta_outplace_char_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1867321Z   test_meta_outplace_char_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1867485Z   test_meta_outplace_char_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1867642Z   test_meta_outplace_char_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1867801Z   test_meta_outplace_char_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1867943Z   test_meta_outplace_char_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1868094Z   test_meta_outplace_char_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1868251Z   test_meta_outplace_char_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1868444Z   test_meta_outplace_char_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1868598Z   test_meta_outplace_char_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1868776Z   test_meta_outplace_char_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1868932Z   test_meta_outplace_char_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1869099Z   test_meta_outplace_cholesky_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1869255Z   test_meta_outplace_cholesky_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1869419Z   test_meta_outplace_cholesky_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1869582Z   test_meta_outplace_cholesky_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1869761Z   test_meta_outplace_cholesky_inverse_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1869938Z   test_meta_outplace_cholesky_inverse_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1870112Z   test_meta_outplace_cholesky_inverse_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1870284Z   test_meta_outplace_cholesky_inverse_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1870458Z   test_meta_outplace_cholesky_solve_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1870630Z   test_meta_outplace_cholesky_solve_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1870800Z   test_meta_outplace_cholesky_solve_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1870957Z   test_meta_outplace_cholesky_solve_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1871120Z   test_meta_outplace_chunk_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1871279Z   test_meta_outplace_chunk_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1871442Z   test_meta_outplace_chunk_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1871604Z   test_meta_outplace_chunk_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1871760Z   test_meta_outplace_chunk_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1871919Z   test_meta_outplace_chunk_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1872073Z   test_meta_outplace_chunk_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1872213Z   test_meta_outplace_chunk_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1872368Z   test_meta_outplace_chunk_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1872526Z   test_meta_outplace_chunk_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1872683Z   test_meta_outplace_chunk_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1872838Z   test_meta_outplace_chunk_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1872991Z   test_meta_outplace_chunk_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1873152Z   test_meta_outplace_clamp_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1873311Z   test_meta_outplace_clamp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1873467Z   test_meta_outplace_clamp_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1873639Z   test_meta_outplace_clamp_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1873823Z   test_meta_outplace_clamp_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1873981Z   test_meta_outplace_clamp_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1874136Z   test_meta_outplace_clamp_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1874289Z   test_meta_outplace_clamp_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1874455Z   test_meta_outplace_clamp_max_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1874617Z   test_meta_outplace_clamp_max_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1874780Z   test_meta_outplace_clamp_max_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1874946Z   test_meta_outplace_clamp_max_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1875101Z   test_meta_outplace_clamp_max_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1875261Z   test_meta_outplace_clamp_max_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1875416Z   test_meta_outplace_clamp_max_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1875569Z   test_meta_outplace_clamp_max_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1875729Z   test_meta_outplace_clamp_max_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1875882Z   test_meta_outplace_clamp_max_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1876049Z   test_meta_outplace_clamp_min_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1876210Z   test_meta_outplace_clamp_min_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1876375Z   test_meta_outplace_clamp_min_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1876525Z   test_meta_outplace_clamp_min_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1876687Z   test_meta_outplace_clamp_min_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1876844Z   test_meta_outplace_clamp_min_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1876997Z   test_meta_outplace_clamp_min_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1877281Z   test_meta_outplace_clamp_min_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1877452Z   test_meta_outplace_clamp_min_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1877607Z   test_meta_outplace_clamp_min_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1877766Z   test_meta_outplace_clone_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1877924Z   test_meta_outplace_clone_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1878078Z   test_meta_outplace_clone_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1878234Z   test_meta_outplace_clone_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1878388Z   test_meta_outplace_clone_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1878549Z   test_meta_outplace_clone_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1878761Z   test_meta_outplace_clone_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1878912Z   test_meta_outplace_clone_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1879100Z   test_meta_outplace_clone_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1879258Z   test_meta_outplace_clone_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1879411Z   test_meta_outplace_clone_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1879557Z   test_meta_outplace_clone_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1879709Z   test_meta_outplace_clone_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1879878Z   test_meta_outplace_column_stack_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1880044Z   test_meta_outplace_column_stack_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1880214Z   test_meta_outplace_column_stack_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1880386Z   test_meta_outplace_column_stack_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1880557Z   test_meta_outplace_column_stack_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1880724Z   test_meta_outplace_column_stack_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1880891Z   test_meta_outplace_column_stack_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1881044Z   test_meta_outplace_column_stack_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1881211Z   test_meta_outplace_column_stack_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
2022-11-23T01:34:00.1881377Z   test_meta_outplace_column_stack_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1881542Z   test_meta_outplace_column_stack_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1881706Z   test_meta_outplace_column_stack_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1881867Z   test_meta_outplace_column_stack_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1882039Z   test_meta_outplace_combinations_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1882203Z   test_meta_outplace_combinations_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1882375Z   test_meta_outplace_combinations_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1882538Z   test_meta_outplace_combinations_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1882705Z   test_meta_outplace_combinations_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1882873Z   test_meta_outplace_combinations_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1883038Z   test_meta_outplace_combinations_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1883203Z   test_meta_outplace_combinations_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1883368Z   test_meta_outplace_combinations_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1883531Z   test_meta_outplace_combinations_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1883697Z   test_meta_outplace_combinations_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1883889Z   test_meta_outplace_combinations_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1884099Z   test_meta_outplace_complex_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1884260Z   test_meta_outplace_complex_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1884418Z   test_meta_outplace_complex_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1884577Z   test_meta_outplace_conj_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1884733Z   test_meta_outplace_conj_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1884892Z   test_meta_outplace_conj_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1885055Z   test_meta_outplace_conj_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1885213Z   test_meta_outplace_conj_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1885373Z   test_meta_outplace_conj_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1885515Z   test_meta_outplace_conj_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1885666Z   test_meta_outplace_conj_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1885821Z   test_meta_outplace_conj_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1885977Z   test_meta_outplace_conj_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1886132Z   test_meta_outplace_conj_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1886286Z   test_meta_outplace_conj_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1886439Z   test_meta_outplace_conj_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1886612Z   test_meta_outplace_conj_physical_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1886767Z   test_meta_outplace_conj_physical_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1886944Z   test_meta_outplace_conj_physical_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1887115Z   test_meta_outplace_conj_physical_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1887288Z   test_meta_outplace_conj_physical_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1887458Z   test_meta_outplace_conj_physical_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1887629Z   test_meta_outplace_conj_physical_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1887792Z   test_meta_outplace_conj_physical_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1887961Z   test_meta_outplace_conj_physical_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1888127Z   test_meta_outplace_conj_physical_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1888292Z   test_meta_outplace_conj_physical_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1888446Z   test_meta_outplace_conj_physical_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1888611Z   test_meta_outplace_conj_physical_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1888782Z   test_meta_outplace_constant_pad_nd_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1888992Z   test_meta_outplace_constant_pad_nd_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1889200Z   test_meta_outplace_constant_pad_nd_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1889377Z   test_meta_outplace_constant_pad_nd_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1889549Z   test_meta_outplace_constant_pad_nd_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1889716Z   test_meta_outplace_constant_pad_nd_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1889883Z   test_meta_outplace_constant_pad_nd_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1890037Z   test_meta_outplace_constant_pad_nd_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1890207Z   test_meta_outplace_constant_pad_nd_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1890371Z   test_meta_outplace_constant_pad_nd_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1890538Z   test_meta_outplace_constant_pad_nd_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1890700Z   test_meta_outplace_constant_pad_nd_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1890866Z   test_meta_outplace_contiguous_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1891030Z   test_meta_outplace_contiguous_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1891198Z   test_meta_outplace_contiguous_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1891370Z   test_meta_outplace_contiguous_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1891526Z   test_meta_outplace_contiguous_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1891693Z   test_meta_outplace_contiguous_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1891860Z   test_meta_outplace_contiguous_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1892025Z   test_meta_outplace_contiguous_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1892189Z   test_meta_outplace_contiguous_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1892352Z   test_meta_outplace_contiguous_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1892515Z   test_meta_outplace_contiguous_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1892678Z   test_meta_outplace_contiguous_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1892840Z   test_meta_outplace_contiguous_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1892998Z   test_meta_outplace_copysign_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1893159Z   test_meta_outplace_copysign_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1893321Z   test_meta_outplace_copysign_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1893485Z   test_meta_outplace_copysign_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1893650Z   test_meta_outplace_copysign_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1893813Z   test_meta_outplace_copysign_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1893999Z   test_meta_outplace_copysign_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1894154Z   test_meta_outplace_copysign_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1894339Z   test_meta_outplace_copysign_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1894484Z   test_meta_outplace_copysign_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1894647Z   test_meta_outplace_corrcoef_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1894816Z   test_meta_outplace_corrcoef_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1894984Z   test_meta_outplace_corrcoef_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1895147Z   test_meta_outplace_corrcoef_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1895313Z   test_meta_outplace_corrcoef_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1895478Z   test_meta_outplace_corrcoef_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1895635Z   test_meta_outplace_corrcoef_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1895789Z   test_meta_outplace_corrcoef_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1895936Z   test_meta_outplace_corrcoef_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1896091Z   test_meta_outplace_corrcoef_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1896252Z   test_meta_outplace_cos_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1896407Z   test_meta_outplace_cos_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1896570Z   test_meta_outplace_cos_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1896729Z   test_meta_outplace_cos_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1896888Z   test_meta_outplace_cos_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1897044Z   test_meta_outplace_cos_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1897187Z   test_meta_outplace_cos_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1897339Z   test_meta_outplace_cos_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1897490Z   test_meta_outplace_cos_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1897643Z   test_meta_outplace_cos_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1897798Z   test_meta_outplace_cos_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1897958Z   test_meta_outplace_cosh_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1898111Z   test_meta_outplace_cosh_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1898275Z   test_meta_outplace_cosh_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1898436Z   test_meta_outplace_cosh_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1898582Z   test_meta_outplace_cosh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1898735Z   test_meta_outplace_cosh_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1898890Z   test_meta_outplace_cosh_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1899078Z   test_meta_outplace_cosh_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1899234Z   test_meta_outplace_cosh_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1899410Z   test_meta_outplace_cosh_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1899565Z   test_meta_outplace_cosh_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1899733Z   test_meta_outplace_count_nonzero_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1899899Z   test_meta_outplace_count_nonzero_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1900063Z   test_meta_outplace_count_nonzero_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1900235Z   test_meta_outplace_count_nonzero_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1900404Z   test_meta_outplace_count_nonzero_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1900574Z   test_meta_outplace_count_nonzero_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1900737Z   test_meta_outplace_count_nonzero_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1900901Z   test_meta_outplace_count_nonzero_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1901066Z   test_meta_outplace_count_nonzero_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1901229Z   test_meta_outplace_count_nonzero_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1901395Z   test_meta_outplace_count_nonzero_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1901548Z   test_meta_outplace_count_nonzero_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1901709Z   test_meta_outplace_cov_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1901874Z   test_meta_outplace_cov_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1902033Z   test_meta_outplace_cov_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1902190Z   test_meta_outplace_cov_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1902346Z   test_meta_outplace_cov_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1902501Z   test_meta_outplace_cov_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1902654Z   test_meta_outplace_cov_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1902810Z   test_meta_outplace_cov_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1902952Z   test_meta_outplace_cov_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1903109Z   test_meta_outplace_cov_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1903272Z   test_meta_outplace_cross_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1903436Z   test_meta_outplace_cross_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1903600Z   test_meta_outplace_cross_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1903757Z   test_meta_outplace_cross_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1903912Z   test_meta_outplace_cross_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1904092Z   test_meta_outplace_cross_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1904248Z   test_meta_outplace_cross_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1904496Z   test_meta_outplace_cross_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1904659Z   test_meta_outplace_cross_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1904812Z   test_meta_outplace_cross_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1904974Z   test_meta_outplace_cummax_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1905131Z   test_meta_outplace_cummax_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1905294Z   test_meta_outplace_cummax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1905454Z   test_meta_outplace_cummax_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1905614Z   test_meta_outplace_cummax_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1905760Z   test_meta_outplace_cummax_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1905912Z   test_meta_outplace_cummax_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1906066Z   test_meta_outplace_cummax_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1906225Z   test_meta_outplace_cummax_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1906389Z   test_meta_outplace_cummin_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1906546Z   test_meta_outplace_cummin_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1906709Z   test_meta_outplace_cummin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1906867Z   test_meta_outplace_cummin_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1907025Z   test_meta_outplace_cummin_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1907168Z   test_meta_outplace_cummin_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1907320Z   test_meta_outplace_cummin_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1907475Z   test_meta_outplace_cummin_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1907635Z   test_meta_outplace_cummin_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1907798Z   test_meta_outplace_cumprod_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1907968Z   test_meta_outplace_cumprod_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1908134Z   test_meta_outplace_cumprod_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1908299Z   test_meta_outplace_cumprod_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1908459Z   test_meta_outplace_cumprod_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
2022-11-23T01:34:00.1908608Z   test_meta_outplace_cumprod_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1908764Z   test_meta_outplace_cumprod_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1908917Z   test_meta_outplace_cumprod_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1909076Z   test_meta_outplace_cumprod_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1909261Z   test_meta_outplace_cumprod_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1909420Z   test_meta_outplace_cumsum_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1909613Z   test_meta_outplace_cumsum_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1909777Z   test_meta_outplace_cumsum_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1909939Z   test_meta_outplace_cumsum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1910084Z   test_meta_outplace_cumsum_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1910240Z   test_meta_outplace_cumsum_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1910392Z   test_meta_outplace_cumsum_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1910546Z   test_meta_outplace_cumsum_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1910702Z   test_meta_outplace_cumsum_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1910860Z   test_meta_outplace_cumsum_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1911041Z   test_meta_outplace_cumulative_trapezoid_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1911222Z   test_meta_outplace_cumulative_trapezoid_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1911403Z   test_meta_outplace_cumulative_trapezoid_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1911568Z   test_meta_outplace_cumulative_trapezoid_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1911749Z   test_meta_outplace_cumulative_trapezoid_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1911924Z   test_meta_outplace_cumulative_trapezoid_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1912105Z   test_meta_outplace_cumulative_trapezoid_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1912281Z   test_meta_outplace_cumulative_trapezoid_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1912456Z   test_meta_outplace_cumulative_trapezoid_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1912629Z   test_meta_outplace_cumulative_trapezoid_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1912796Z   test_meta_outplace_deg2rad_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1912959Z   test_meta_outplace_deg2rad_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1913108Z   test_meta_outplace_deg2rad_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1913267Z   test_meta_outplace_deg2rad_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1913420Z   test_meta_outplace_deg2rad_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1913579Z   test_meta_outplace_deg2rad_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1913731Z   test_meta_outplace_deg2rad_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1913883Z   test_meta_outplace_deg2rad_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1914040Z   test_meta_outplace_deg2rad_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1914223Z   test_meta_outplace_deg2rad_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1914377Z   test_meta_outplace_diag_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1914546Z   test_meta_outplace_diag_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1914712Z   test_meta_outplace_diag_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1914877Z   test_meta_outplace_diag_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1915035Z   test_meta_outplace_diag_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1915190Z   test_meta_outplace_diag_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1915342Z   test_meta_outplace_diag_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1915500Z   test_meta_outplace_diag_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1915656Z   test_meta_outplace_diag_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1915814Z   test_meta_outplace_diag_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1915957Z   test_meta_outplace_diag_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1916110Z   test_meta_outplace_diag_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1916279Z   test_meta_outplace_diag_embed_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1916442Z   test_meta_outplace_diag_embed_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1916614Z   test_meta_outplace_diag_embed_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1916787Z   test_meta_outplace_diag_embed_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1916956Z   test_meta_outplace_diag_embed_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1917275Z   test_meta_outplace_diag_embed_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1917506Z   test_meta_outplace_diag_embed_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1917680Z   test_meta_outplace_diag_embed_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1917844Z   test_meta_outplace_diag_embed_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1918007Z   test_meta_outplace_diag_embed_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1918169Z   test_meta_outplace_diag_embed_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1918334Z   test_meta_outplace_diag_embed_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1918496Z   test_meta_outplace_diag_embed_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1918665Z   test_meta_outplace_diagflat_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1918827Z   test_meta_outplace_diagflat_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1918995Z   test_meta_outplace_diagflat_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1919150Z   test_meta_outplace_diagflat_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1919313Z   test_meta_outplace_diagflat_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1919475Z   test_meta_outplace_diagflat_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1919699Z   test_meta_outplace_diagflat_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1919894Z   test_meta_outplace_diagflat_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1920053Z   test_meta_outplace_diagflat_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1920209Z   test_meta_outplace_diagflat_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1920367Z   test_meta_outplace_diagflat_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1920522Z   test_meta_outplace_diagflat_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1920681Z   test_meta_outplace_diagonal_copy_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1920851Z   test_meta_outplace_diagonal_copy_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1921027Z   test_meta_outplace_diagonal_copy_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1921204Z   test_meta_outplace_diagonal_copy_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1921376Z   test_meta_outplace_diagonal_copy_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1921545Z   test_meta_outplace_diagonal_copy_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1921713Z   test_meta_outplace_diagonal_copy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1921877Z   test_meta_outplace_diagonal_copy_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1922044Z   test_meta_outplace_diagonal_copy_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1922202Z   test_meta_outplace_diagonal_copy_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1922367Z   test_meta_outplace_diagonal_copy_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1922538Z   test_meta_outplace_diagonal_copy_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1922702Z   test_meta_outplace_diagonal_copy_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1922868Z   test_meta_outplace_diagonal_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1923029Z   test_meta_outplace_diagonal_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1923196Z   test_meta_outplace_diagonal_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1923361Z   test_meta_outplace_diagonal_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1923528Z   test_meta_outplace_diagonal_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1923683Z   test_meta_outplace_diagonal_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1923845Z   test_meta_outplace_diagonal_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1924010Z   test_meta_outplace_diagonal_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1924169Z   test_meta_outplace_diagonal_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1924327Z   test_meta_outplace_diagonal_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1924481Z   test_meta_outplace_diagonal_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1924683Z   test_meta_outplace_diagonal_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1924838Z   test_meta_outplace_diagonal_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1925039Z   test_meta_outplace_diagonal_scatter_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1925200Z   test_meta_outplace_diagonal_scatter_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1925375Z   test_meta_outplace_diagonal_scatter_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1925547Z   test_meta_outplace_diagonal_scatter_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1925723Z   test_meta_outplace_diagonal_scatter_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.1925892Z   test_meta_outplace_diagonal_scatter_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.1926063Z   test_meta_outplace_diagonal_scatter_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.1926232Z   test_meta_outplace_diagonal_scatter_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1926403Z   test_meta_outplace_diagonal_scatter_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1926568Z   test_meta_outplace_diagonal_scatter_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.1926715Z   test_meta_outplace_diff_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.1926871Z   test_meta_outplace_diff_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.1927034Z   test_meta_outplace_diff_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1927199Z   test_meta_outplace_diff_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1927357Z   test_meta_outplace_diff_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.1927512Z   test_meta_outplace_diff_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1927664Z   test_meta_outplace_diff_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.1927820Z   test_meta_outplace_diff_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1927975Z   test_meta_outplace_diff_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1928119Z   test_meta_outplace_diff_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1928274Z   test_meta_outplace_diff_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1928427Z   test_meta_outplace_diff_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.1928596Z   test_meta_outplace_digamma_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1928757Z   test_meta_outplace_digamma_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1928920Z   test_meta_outplace_digamma_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.1929079Z   test_meta_outplace_digamma_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1929239Z   test_meta_outplace_digamma_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1929381Z   test_meta_outplace_digamma_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1929533Z   test_meta_outplace_digamma_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1929719Z   test_meta_outplace_digamma_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.1929872Z   test_meta_outplace_digamma_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1930051Z   test_meta_outplace_dist_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1930211Z   test_meta_outplace_dist_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1930373Z   test_meta_outplace_dist_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1930527Z   test_meta_outplace_dist_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.1930679Z   test_meta_outplace_dist_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1930818Z   test_meta_outplace_dist_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1930995Z   test_meta_outplace_div_floor_rounding_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.1931168Z   test_meta_outplace_div_floor_rounding_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1931344Z   test_meta_outplace_div_floor_rounding_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.1931519Z   test_meta_outplace_div_floor_rounding_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1931691Z   test_meta_outplace_div_floor_rounding_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1931860Z   test_meta_outplace_div_floor_rounding_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1932031Z   test_meta_outplace_div_floor_rounding_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1932202Z   test_meta_outplace_div_floor_rounding_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1932358Z   test_meta_outplace_div_floor_rounding_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1932540Z   test_meta_outplace_div_no_rounding_mode_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1932713Z   test_meta_outplace_div_no_rounding_mode_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1932891Z   test_meta_outplace_div_no_rounding_mode_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1933069Z   test_meta_outplace_div_no_rounding_mode_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1933242Z   test_meta_outplace_div_no_rounding_mode_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1933410Z   test_meta_outplace_div_no_rounding_mode_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1933578Z   test_meta_outplace_div_no_rounding_mode_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1933752Z   test_meta_outplace_div_no_rounding_mode_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1933925Z   test_meta_outplace_div_no_rounding_mode_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1934084Z   test_meta_outplace_div_no_rounding_mode_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.1934257Z   test_meta_outplace_div_no_rounding_mode_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1934426Z   test_meta_outplace_div_no_rounding_mode_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1934601Z   test_meta_outplace_div_trunc_rounding_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1934810Z   test_meta_outplace_div_trunc_rounding_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1934983Z   test_meta_outplace_div_trunc_rounding_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.002s)
2022-11-23T01:34:00.1935182Z   test_meta_outplace_div_trunc_rounding_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1935355Z   test_meta_outplace_div_trunc_rounding_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1935524Z   test_meta_outplace_div_trunc_rounding_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1935685Z   test_meta_outplace_div_trunc_rounding_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1935854Z   test_meta_outplace_div_trunc_rounding_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1936023Z   test_meta_outplace_div_trunc_rounding_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1936184Z   test_meta_outplace_dot_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1936350Z   test_meta_outplace_dot_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
2022-11-23T01:34:00.1936511Z   test_meta_outplace_dot_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1936666Z   test_meta_outplace_dot_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1936823Z   test_meta_outplace_dot_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1936977Z   test_meta_outplace_dot_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1937119Z   test_meta_outplace_dot_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1937276Z   test_meta_outplace_dot_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1937428Z   test_meta_outplace_dot_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1937582Z   test_meta_outplace_dot_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1937747Z   test_meta_outplace_double_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1937903Z   test_meta_outplace_double_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1938069Z   test_meta_outplace_double_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1938233Z   test_meta_outplace_double_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1938399Z   test_meta_outplace_double_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1938554Z   test_meta_outplace_double_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1938711Z   test_meta_outplace_double_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1938868Z   test_meta_outplace_double_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1939026Z   test_meta_outplace_double_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1939179Z   test_meta_outplace_double_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1939330Z   test_meta_outplace_double_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1939487Z   test_meta_outplace_double_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1939645Z   test_meta_outplace_double_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1939837Z   test_meta_outplace_dsplit_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1939983Z   test_meta_outplace_dsplit_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1940173Z   test_meta_outplace_dsplit_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1940340Z   test_meta_outplace_dsplit_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1940504Z   test_meta_outplace_dsplit_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1940666Z   test_meta_outplace_dsplit_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1940827Z   test_meta_outplace_dsplit_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1940983Z   test_meta_outplace_dsplit_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1941144Z   test_meta_outplace_dsplit_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1941299Z   test_meta_outplace_dsplit_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1941442Z   test_meta_outplace_dsplit_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1941599Z   test_meta_outplace_dsplit_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1941757Z   test_meta_outplace_dsplit_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1941922Z   test_meta_outplace_dstack_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1942079Z   test_meta_outplace_dstack_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1942248Z   test_meta_outplace_dstack_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1942416Z   test_meta_outplace_dstack_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1942580Z   test_meta_outplace_dstack_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1942732Z   test_meta_outplace_dstack_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1942892Z   test_meta_outplace_dstack_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1943048Z   test_meta_outplace_dstack_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1943205Z   test_meta_outplace_dstack_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1943360Z   test_meta_outplace_dstack_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1943511Z   test_meta_outplace_dstack_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1943669Z   test_meta_outplace_dstack_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1943827Z   test_meta_outplace_dstack_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1943991Z   test_meta_outplace_einsum_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1944146Z   test_meta_outplace_einsum_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1944310Z   test_meta_outplace_einsum_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1944554Z   test_meta_outplace_einsum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1944715Z   test_meta_outplace_einsum_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1944871Z   test_meta_outplace_einsum_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1945062Z   test_meta_outplace_einsum_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1945214Z   test_meta_outplace_einsum_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1945402Z   test_meta_outplace_einsum_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1945559Z   test_meta_outplace_einsum_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1945710Z   test_meta_outplace_empty_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1945868Z   test_meta_outplace_empty_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1946034Z   test_meta_outplace_empty_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1946197Z   test_meta_outplace_empty_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1946357Z   test_meta_outplace_empty_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1946518Z   test_meta_outplace_empty_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1946673Z   test_meta_outplace_empty_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1946825Z   test_meta_outplace_empty_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1946982Z   test_meta_outplace_empty_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1947126Z   test_meta_outplace_empty_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1947283Z   test_meta_outplace_empty_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1947440Z   test_meta_outplace_empty_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1947596Z   test_meta_outplace_empty_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1947765Z   test_meta_outplace_empty_like_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1947926Z   test_meta_outplace_empty_like_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1948097Z   test_meta_outplace_empty_like_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1948266Z   test_meta_outplace_empty_like_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1948432Z   test_meta_outplace_empty_like_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1948585Z   test_meta_outplace_empty_like_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1948752Z   test_meta_outplace_empty_like_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1948916Z   test_meta_outplace_empty_like_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1949079Z   test_meta_outplace_empty_like_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1949240Z   test_meta_outplace_empty_like_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1949401Z   test_meta_outplace_empty_like_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1949561Z   test_meta_outplace_empty_like_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1949720Z   test_meta_outplace_empty_like_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1949876Z   test_meta_outplace_eq_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1950048Z   test_meta_outplace_eq_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1950208Z   test_meta_outplace_eq_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1950395Z   test_meta_outplace_eq_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1950551Z   test_meta_outplace_eq_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1950709Z   test_meta_outplace_eq_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1950863Z   test_meta_outplace_eq_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1951018Z   test_meta_outplace_eq_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1951172Z   test_meta_outplace_eq_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1951326Z   test_meta_outplace_eq_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1951466Z   test_meta_outplace_eq_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1951622Z   test_meta_outplace_eq_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1951771Z   test_meta_outplace_eq_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1951934Z   test_meta_outplace_equal_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1952092Z   test_meta_outplace_equal_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1952255Z   test_meta_outplace_equal_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1952417Z   test_meta_outplace_equal_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1952577Z   test_meta_outplace_equal_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1952721Z   test_meta_outplace_equal_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1952877Z   test_meta_outplace_equal_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1953032Z   test_meta_outplace_equal_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1953188Z   test_meta_outplace_equal_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1953344Z   test_meta_outplace_equal_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1953501Z   test_meta_outplace_equal_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1953655Z   test_meta_outplace_equal_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1953817Z   test_meta_outplace_erf_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1953970Z   test_meta_outplace_erf_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1954115Z   test_meta_outplace_erf_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1954274Z   test_meta_outplace_erf_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1954428Z   test_meta_outplace_erf_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1954583Z   test_meta_outplace_erf_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1954738Z   test_meta_outplace_erf_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1954890Z   test_meta_outplace_erf_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1955071Z   test_meta_outplace_erf_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1955231Z   test_meta_outplace_erfc_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1955409Z   test_meta_outplace_erfc_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1955559Z   test_meta_outplace_erfc_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1955713Z   test_meta_outplace_erfc_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1955870Z   test_meta_outplace_erfc_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1956025Z   test_meta_outplace_erfc_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1956180Z   test_meta_outplace_erfc_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1956335Z   test_meta_outplace_erfc_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1956488Z   test_meta_outplace_erfc_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1956653Z   test_meta_outplace_erfinv_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1956798Z   test_meta_outplace_erfinv_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1956960Z   test_meta_outplace_erfinv_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1957251Z   test_meta_outplace_erfinv_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1957483Z   test_meta_outplace_erfinv_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1957646Z   test_meta_outplace_erfinv_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1957800Z   test_meta_outplace_erfinv_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1957955Z   test_meta_outplace_erfinv_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1958115Z   test_meta_outplace_erfinv_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1958275Z   test_meta_outplace_exp2_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1958417Z   test_meta_outplace_exp2_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1958574Z   test_meta_outplace_exp2_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1958727Z   test_meta_outplace_exp2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1958879Z   test_meta_outplace_exp2_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1959033Z   test_meta_outplace_exp2_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1959190Z   test_meta_outplace_exp2_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1959348Z   test_meta_outplace_exp2_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1959499Z   test_meta_outplace_exp2_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1959651Z   test_meta_outplace_exp2_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1959797Z   test_meta_outplace_exp_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1959950Z   test_meta_outplace_exp_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1960112Z   test_meta_outplace_exp_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1960271Z   test_meta_outplace_exp_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1960499Z   test_meta_outplace_exp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1960691Z   test_meta_outplace_exp_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1960847Z   test_meta_outplace_exp_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1961001Z   test_meta_outplace_exp_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1961154Z   test_meta_outplace_exp_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1961295Z   test_meta_outplace_exp_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1961448Z   test_meta_outplace_exp_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1961620Z   test_meta_outplace_expand_as_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1961787Z   test_meta_outplace_expand_as_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1961959Z   test_meta_outplace_expand_as_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1962127Z   test_meta_outplace_expand_as_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1962292Z   test_meta_outplace_expand_as_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1962456Z   test_meta_outplace_expand_as_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1962620Z   test_meta_outplace_expand_as_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1962771Z   test_meta_outplace_expand_as_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1962929Z   test_meta_outplace_expand_as_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1963084Z   test_meta_outplace_expand_as_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1963246Z   test_meta_outplace_expand_as_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
2022-11-23T01:34:00.1963401Z   test_meta_outplace_expand_as_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1963555Z   test_meta_outplace_expand_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1963711Z   test_meta_outplace_expand_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1963876Z   test_meta_outplace_expand_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1964042Z   test_meta_outplace_expand_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1964194Z   test_meta_outplace_expand_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1964352Z   test_meta_outplace_expand_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1964509Z   test_meta_outplace_expand_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1964668Z   test_meta_outplace_expand_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1964824Z   test_meta_outplace_expand_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1964975Z   test_meta_outplace_expand_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1965131Z   test_meta_outplace_expand_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1965290Z   test_meta_outplace_expand_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1965505Z   test_meta_outplace_expm1_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1965662Z   test_meta_outplace_expm1_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1965850Z   test_meta_outplace_expm1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1966007Z   test_meta_outplace_expm1_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1966161Z   test_meta_outplace_expm1_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1966316Z   test_meta_outplace_expm1_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1966470Z   test_meta_outplace_expm1_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1966626Z   test_meta_outplace_expm1_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1966781Z   test_meta_outplace_expm1_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1966924Z   test_meta_outplace_eye_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1967087Z   test_meta_outplace_eye_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1967247Z   test_meta_outplace_eye_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1967400Z   test_meta_outplace_eye_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1967557Z   test_meta_outplace_eye_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1967710Z   test_meta_outplace_eye_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1967865Z   test_meta_outplace_eye_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1968019Z   test_meta_outplace_eye_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1968171Z   test_meta_outplace_eye_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1968314Z   test_meta_outplace_eye_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1968465Z   test_meta_outplace_eye_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1968624Z   test_meta_outplace_fft_fft2_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1968790Z   test_meta_outplace_fft_fft2_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1968956Z   test_meta_outplace_fft_fft2_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1969118Z   test_meta_outplace_fft_fft2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1969282Z   test_meta_outplace_fft_fft2_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1969441Z   test_meta_outplace_fft_fft2_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1969598Z   test_meta_outplace_fft_fft2_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1969737Z   test_meta_outplace_fft_fft2_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1969891Z   test_meta_outplace_fft_fft2_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1970043Z   test_meta_outplace_fft_fft2_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1970200Z   test_meta_outplace_fft_fft_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1970365Z   test_meta_outplace_fft_fft_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1970560Z   test_meta_outplace_fft_fft_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1970721Z   test_meta_outplace_fft_fft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1970903Z   test_meta_outplace_fft_fft_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1971060Z   test_meta_outplace_fft_fft_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1971201Z   test_meta_outplace_fft_fft_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1971352Z   test_meta_outplace_fft_fft_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1971509Z   test_meta_outplace_fft_fft_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1971660Z   test_meta_outplace_fft_fft_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1971815Z   test_meta_outplace_fft_fftn_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1971980Z   test_meta_outplace_fft_fftn_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1972148Z   test_meta_outplace_fft_fftn_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1972311Z   test_meta_outplace_fft_fftn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1972462Z   test_meta_outplace_fft_fftn_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1972620Z   test_meta_outplace_fft_fftn_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1972774Z   test_meta_outplace_fft_fftn_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1972926Z   test_meta_outplace_fft_fftn_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1973082Z   test_meta_outplace_fft_fftn_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1973235Z   test_meta_outplace_fft_fftn_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1973408Z   test_meta_outplace_fft_fftshift_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1973574Z   test_meta_outplace_fft_fftshift_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1973745Z   test_meta_outplace_fft_fftshift_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1973905Z   test_meta_outplace_fft_fftshift_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1974077Z   test_meta_outplace_fft_fftshift_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1974250Z   test_meta_outplace_fft_fftshift_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1974419Z   test_meta_outplace_fft_fftshift_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1974584Z   test_meta_outplace_fft_fftshift_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1974750Z   test_meta_outplace_fft_fftshift_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1974912Z   test_meta_outplace_fft_fftshift_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1975077Z   test_meta_outplace_fft_fftshift_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1975239Z   test_meta_outplace_fft_fftshift_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1975389Z   test_meta_outplace_fft_fftshift_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1975576Z   test_meta_outplace_fft_hfft2_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1975744Z   test_meta_outplace_fft_hfft2_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1975937Z   test_meta_outplace_fft_hfft2_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1976101Z   test_meta_outplace_fft_hfft2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1976263Z   test_meta_outplace_fft_hfft2_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1976423Z   test_meta_outplace_fft_hfft2_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1976579Z   test_meta_outplace_fft_hfft2_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1976732Z   test_meta_outplace_fft_hfft2_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1976882Z   test_meta_outplace_fft_hfft2_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1977036Z   test_meta_outplace_fft_hfft2_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1977198Z   test_meta_outplace_fft_hfft_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1977365Z   test_meta_outplace_fft_hfft_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1977532Z   test_meta_outplace_fft_hfft_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1977696Z   test_meta_outplace_fft_hfft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1977858Z   test_meta_outplace_fft_hfft_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1978018Z   test_meta_outplace_fft_hfft_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1978170Z   test_meta_outplace_fft_hfft_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1978312Z   test_meta_outplace_fft_hfft_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1978470Z   test_meta_outplace_fft_hfft_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1978622Z   test_meta_outplace_fft_hfft_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1978773Z   test_meta_outplace_fft_hfftn_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1978941Z   test_meta_outplace_fft_hfftn_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1986426Z   test_meta_outplace_fft_hfftn_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1986695Z   test_meta_outplace_fft_hfftn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1986861Z   test_meta_outplace_fft_hfftn_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1987020Z   test_meta_outplace_fft_hfftn_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1987176Z   test_meta_outplace_fft_hfftn_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1987336Z   test_meta_outplace_fft_hfftn_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1987497Z   test_meta_outplace_fft_hfftn_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1987655Z   test_meta_outplace_fft_hfftn_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1987811Z   test_meta_outplace_fft_ifft2_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1988071Z   test_meta_outplace_fft_ifft2_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1988227Z   test_meta_outplace_fft_ifft2_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1988428Z   test_meta_outplace_fft_ifft2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1988595Z   test_meta_outplace_fft_ifft2_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1988758Z   test_meta_outplace_fft_ifft2_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1988916Z   test_meta_outplace_fft_ifft2_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1989071Z   test_meta_outplace_fft_ifft2_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1989231Z   test_meta_outplace_fft_ifft2_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1989388Z   test_meta_outplace_fft_ifft2_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1989551Z   test_meta_outplace_fft_ifft_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1989707Z   test_meta_outplace_fft_ifft_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1989871Z   test_meta_outplace_fft_ifft_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1990036Z   test_meta_outplace_fft_ifft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1990199Z   test_meta_outplace_fft_ifft_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1990358Z   test_meta_outplace_fft_ifft_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1990514Z   test_meta_outplace_fft_ifft_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1990669Z   test_meta_outplace_fft_ifft_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1990833Z   test_meta_outplace_fft_ifft_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1990985Z   test_meta_outplace_fft_ifft_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1991128Z   test_meta_outplace_fft_ifftn_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1991297Z   test_meta_outplace_fft_ifftn_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1991465Z   test_meta_outplace_fft_ifftn_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1991629Z   test_meta_outplace_fft_ifftn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1991800Z   test_meta_outplace_fft_ifftn_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1991960Z   test_meta_outplace_fft_ifftn_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1992119Z   test_meta_outplace_fft_ifftn_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1992273Z   test_meta_outplace_fft_ifftn_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1992433Z   test_meta_outplace_fft_ifftn_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1992576Z   test_meta_outplace_fft_ifftn_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1992749Z   test_meta_outplace_fft_ifftshift_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1992916Z   test_meta_outplace_fft_ifftshift_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1993125Z   test_meta_outplace_fft_ifftshift_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1993299Z   test_meta_outplace_fft_ifftshift_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1993499Z   test_meta_outplace_fft_ifftshift_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1993668Z   test_meta_outplace_fft_ifftshift_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1993836Z   test_meta_outplace_fft_ifftshift_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1994001Z   test_meta_outplace_fft_ifftshift_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1994154Z   test_meta_outplace_fft_ifftshift_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1994319Z   test_meta_outplace_fft_ifftshift_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1994486Z   test_meta_outplace_fft_ifftshift_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1994654Z   test_meta_outplace_fft_ifftshift_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1994823Z   test_meta_outplace_fft_ifftshift_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1994983Z   test_meta_outplace_fft_ihfft2_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1995146Z   test_meta_outplace_fft_ihfft2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1995308Z   test_meta_outplace_fft_ihfft2_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1995472Z   test_meta_outplace_fft_ihfft2_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1995624Z   test_meta_outplace_fft_ihfft2_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1995787Z   test_meta_outplace_fft_ihfft2_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1995951Z   test_meta_outplace_fft_ihfft2_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1996114Z   test_meta_outplace_fft_ihfft2_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1996276Z   test_meta_outplace_fft_ihfft_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1996444Z   test_meta_outplace_fft_ihfft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1996610Z   test_meta_outplace_fft_ihfft_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1996768Z   test_meta_outplace_fft_ihfft_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1996927Z   test_meta_outplace_fft_ihfft_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1997067Z   test_meta_outplace_fft_ihfft_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1997426Z   test_meta_outplace_fft_ihfft_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1997619Z   test_meta_outplace_fft_ihfft_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1997776Z   test_meta_outplace_fft_ihfftn_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
2022-11-23T01:34:00.1997942Z   test_meta_outplace_fft_ihfftn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1998107Z   test_meta_outplace_fft_ihfftn_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1998269Z   test_meta_outplace_fft_ihfftn_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1998503Z   test_meta_outplace_fft_ihfftn_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1998669Z   test_meta_outplace_fft_ihfftn_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1998854Z   test_meta_outplace_fft_ihfftn_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1999018Z   test_meta_outplace_fft_ihfftn_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1999181Z   test_meta_outplace_fft_irfft2_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1999352Z   test_meta_outplace_fft_irfft2_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1999518Z   test_meta_outplace_fft_irfft2_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1999685Z   test_meta_outplace_fft_irfft2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.1999849Z   test_meta_outplace_fft_irfft2_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2000012Z   test_meta_outplace_fft_irfft2_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2000170Z   test_meta_outplace_fft_irfft2_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2000318Z   test_meta_outplace_fft_irfft2_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2000479Z   test_meta_outplace_fft_irfft2_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2000638Z   test_meta_outplace_fft_irfft2_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2000802Z   test_meta_outplace_fft_irfft_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2000972Z   test_meta_outplace_fft_irfft_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2001140Z   test_meta_outplace_fft_irfft_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2001307Z   test_meta_outplace_fft_irfft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2001473Z   test_meta_outplace_fft_irfft_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2001633Z   test_meta_outplace_fft_irfft_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2001776Z   test_meta_outplace_fft_irfft_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2001930Z   test_meta_outplace_fft_irfft_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2002089Z   test_meta_outplace_fft_irfft_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2002244Z   test_meta_outplace_fft_irfft_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2002395Z   test_meta_outplace_fft_irfftn_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2002565Z   test_meta_outplace_fft_irfftn_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2002734Z   test_meta_outplace_fft_irfftn_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2002898Z   test_meta_outplace_fft_irfftn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2003063Z   test_meta_outplace_fft_irfftn_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2003211Z   test_meta_outplace_fft_irfftn_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2003372Z   test_meta_outplace_fft_irfftn_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2003585Z   test_meta_outplace_fft_irfftn_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2003780Z   test_meta_outplace_fft_irfftn_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2003943Z   test_meta_outplace_fft_irfftn_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2004104Z   test_meta_outplace_fft_rfft2_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2004267Z   test_meta_outplace_fft_rfft2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2004431Z   test_meta_outplace_fft_rfft2_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2004590Z   test_meta_outplace_fft_rfft2_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2004733Z   test_meta_outplace_fft_rfft2_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2004885Z   test_meta_outplace_fft_rfft2_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2005045Z   test_meta_outplace_fft_rfft2_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2005198Z   test_meta_outplace_fft_rfft2_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2005357Z   test_meta_outplace_fft_rfft_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2005517Z   test_meta_outplace_fft_rfft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2005680Z   test_meta_outplace_fft_rfft_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2005838Z   test_meta_outplace_fft_rfft_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2005997Z   test_meta_outplace_fft_rfft_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2006138Z   test_meta_outplace_fft_rfft_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2006298Z   test_meta_outplace_fft_rfft_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2006452Z   test_meta_outplace_fft_rfft_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2006604Z   test_meta_outplace_fft_rfftn_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2006766Z   test_meta_outplace_fft_rfftn_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2006928Z   test_meta_outplace_fft_rfftn_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2007083Z   test_meta_outplace_fft_rfftn_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2007239Z   test_meta_outplace_fft_rfftn_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2007391Z   test_meta_outplace_fft_rfftn_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2007538Z   test_meta_outplace_fft_rfftn_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2007694Z   test_meta_outplace_fft_rfftn_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2007852Z   test_meta_outplace_fill_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2008009Z   test_meta_outplace_fill_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2008172Z   test_meta_outplace_fill_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2008334Z   test_meta_outplace_fill_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2008519Z   test_meta_outplace_fill_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2008678Z   test_meta_outplace_fill_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2008847Z   test_meta_outplace_fill_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2008999Z   test_meta_outplace_fill_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2009155Z   test_meta_outplace_fill_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2009312Z   test_meta_outplace_fill_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2009470Z   test_meta_outplace_fill_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2009623Z   test_meta_outplace_fill_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2009779Z   test_meta_outplace_fill_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2009944Z   test_meta_outplace_flatten_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2010102Z   test_meta_outplace_flatten_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2010258Z   test_meta_outplace_flatten_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2010424Z   test_meta_outplace_flatten_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2010591Z   test_meta_outplace_flatten_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2010756Z   test_meta_outplace_flatten_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2010916Z   test_meta_outplace_flatten_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2011073Z   test_meta_outplace_flatten_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2011231Z   test_meta_outplace_flatten_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2011388Z   test_meta_outplace_flatten_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2011541Z   test_meta_outplace_flatten_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2011686Z   test_meta_outplace_flatten_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2011838Z   test_meta_outplace_flatten_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2011990Z   test_meta_outplace_flip_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2012146Z   test_meta_outplace_flip_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2012313Z   test_meta_outplace_flip_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2012474Z   test_meta_outplace_flip_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2012635Z   test_meta_outplace_flip_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2012789Z   test_meta_outplace_flip_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2012941Z   test_meta_outplace_flip_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2013085Z   test_meta_outplace_flip_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2013240Z   test_meta_outplace_flip_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2013396Z   test_meta_outplace_flip_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2013585Z   test_meta_outplace_flip_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2013739Z   test_meta_outplace_flip_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2013930Z   test_meta_outplace_fliplr_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2014088Z   test_meta_outplace_fliplr_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2014255Z   test_meta_outplace_fliplr_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2014420Z   test_meta_outplace_fliplr_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2014570Z   test_meta_outplace_fliplr_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2014729Z   test_meta_outplace_fliplr_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2014889Z   test_meta_outplace_fliplr_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2015049Z   test_meta_outplace_fliplr_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2015205Z   test_meta_outplace_fliplr_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2015357Z   test_meta_outplace_fliplr_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2015514Z   test_meta_outplace_fliplr_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2015672Z   test_meta_outplace_fliplr_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2015833Z   test_meta_outplace_flipud_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2015979Z   test_meta_outplace_flipud_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2016146Z   test_meta_outplace_flipud_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2016315Z   test_meta_outplace_flipud_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2016474Z   test_meta_outplace_flipud_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2016633Z   test_meta_outplace_flipud_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2016788Z   test_meta_outplace_flipud_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2016945Z   test_meta_outplace_flipud_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2017099Z   test_meta_outplace_flipud_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2017239Z   test_meta_outplace_flipud_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2017398Z   test_meta_outplace_flipud_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2017557Z   test_meta_outplace_flipud_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2017718Z   test_meta_outplace_float_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2017877Z   test_meta_outplace_float_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2018042Z   test_meta_outplace_float_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2018204Z   test_meta_outplace_float_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2018362Z   test_meta_outplace_float_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2018549Z   test_meta_outplace_float_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2018691Z   test_meta_outplace_float_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2018870Z   test_meta_outplace_float_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2019026Z   test_meta_outplace_float_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2019182Z   test_meta_outplace_float_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2019339Z   test_meta_outplace_float_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2019497Z   test_meta_outplace_float_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2019651Z   test_meta_outplace_float_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2019821Z   test_meta_outplace_float_power_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2019989Z   test_meta_outplace_float_power_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2020148Z   test_meta_outplace_float_power_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2020317Z   test_meta_outplace_float_power_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2020482Z   test_meta_outplace_float_power_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2020649Z   test_meta_outplace_float_power_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2020814Z   test_meta_outplace_float_power_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2020979Z   test_meta_outplace_float_power_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2021146Z   test_meta_outplace_float_power_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2021308Z   test_meta_outplace_float_power_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2021471Z   test_meta_outplace_float_power_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2021622Z   test_meta_outplace_float_power_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2021783Z   test_meta_outplace_floor_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2021940Z   test_meta_outplace_floor_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2022093Z   test_meta_outplace_floor_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2022247Z   test_meta_outplace_floor_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2022407Z   test_meta_outplace_floor_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2022562Z   test_meta_outplace_floor_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2022721Z   test_meta_outplace_floor_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2022878Z   test_meta_outplace_floor_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2023037Z   test_meta_outplace_floor_divide_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2023206Z   test_meta_outplace_floor_divide_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2023377Z   test_meta_outplace_floor_divide_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2023545Z   test_meta_outplace_floor_divide_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2023740Z   test_meta_outplace_floor_divide_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2023932Z   test_meta_outplace_floor_divide_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2024099Z   test_meta_outplace_floor_divide_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2024264Z   test_meta_outplace_floor_divide_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2024512Z   test_meta_outplace_floor_divide_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2024663Z   test_meta_outplace_fmax_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2024818Z   test_meta_outplace_fmax_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
2022-11-23T01:34:00.2024980Z   test_meta_outplace_fmax_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2025138Z   test_meta_outplace_fmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2025293Z   test_meta_outplace_fmax_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2025451Z   test_meta_outplace_fmax_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2025607Z   test_meta_outplace_fmax_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2025763Z   test_meta_outplace_fmax_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2025916Z   test_meta_outplace_fmax_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2026058Z   test_meta_outplace_fmax_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2026218Z   test_meta_outplace_fmin_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2026376Z   test_meta_outplace_fmin_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2026539Z   test_meta_outplace_fmin_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2026694Z   test_meta_outplace_fmin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2026846Z   test_meta_outplace_fmin_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2027001Z   test_meta_outplace_fmin_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2027157Z   test_meta_outplace_fmin_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2027297Z   test_meta_outplace_fmin_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2027451Z   test_meta_outplace_fmin_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2027605Z   test_meta_outplace_fmin_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2027768Z   test_meta_outplace_fmod_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2027927Z   test_meta_outplace_fmod_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2028082Z   test_meta_outplace_fmod_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2028232Z   test_meta_outplace_fmod_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2028387Z   test_meta_outplace_fmod_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2028541Z   test_meta_outplace_fmod_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2028684Z   test_meta_outplace_fmod_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2028876Z   test_meta_outplace_fmod_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2029030Z   test_meta_outplace_fmod_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2029218Z   test_meta_outplace_frac_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2029379Z   test_meta_outplace_frac_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2029533Z   test_meta_outplace_frac_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2029686Z   test_meta_outplace_frac_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2029850Z   test_meta_outplace_frexp_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2030008Z   test_meta_outplace_frexp_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2030152Z   test_meta_outplace_frexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2030306Z   test_meta_outplace_frexp_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2030462Z   test_meta_outplace_full_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2030618Z   test_meta_outplace_full_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2030781Z   test_meta_outplace_full_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2030942Z   test_meta_outplace_full_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2031102Z   test_meta_outplace_full_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2031259Z   test_meta_outplace_full_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2031415Z   test_meta_outplace_full_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2031558Z   test_meta_outplace_full_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2031712Z   test_meta_outplace_full_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2031865Z   test_meta_outplace_full_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2032018Z   test_meta_outplace_full_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2032172Z   test_meta_outplace_full_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2032326Z   test_meta_outplace_full_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2032490Z   test_meta_outplace_full_like_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2032653Z   test_meta_outplace_full_like_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2032810Z   test_meta_outplace_full_like_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2032976Z   test_meta_outplace_full_like_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2033138Z   test_meta_outplace_full_like_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2033303Z   test_meta_outplace_full_like_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2033466Z   test_meta_outplace_full_like_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2033626Z   test_meta_outplace_full_like_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2033814Z   test_meta_outplace_full_like_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2033968Z   test_meta_outplace_full_like_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2034159Z   test_meta_outplace_full_like_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2034301Z   test_meta_outplace_full_like_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2034458Z   test_meta_outplace_gather_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2034615Z   test_meta_outplace_gather_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2034780Z   test_meta_outplace_gather_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2034946Z   test_meta_outplace_gather_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2035112Z   test_meta_outplace_gather_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2035271Z   test_meta_outplace_gather_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2035429Z   test_meta_outplace_gather_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2035589Z   test_meta_outplace_gather_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2035730Z   test_meta_outplace_gather_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2035883Z   test_meta_outplace_gather_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2036040Z   test_meta_outplace_gather_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2036199Z   test_meta_outplace_gather_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2036358Z   test_meta_outplace_gcd_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2036514Z   test_meta_outplace_gcd_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2036672Z   test_meta_outplace_gcd_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2036827Z   test_meta_outplace_gcd_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2036980Z   test_meta_outplace_gcd_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2037256Z   test_meta_outplace_ge_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2037477Z   test_meta_outplace_ge_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2037635Z   test_meta_outplace_ge_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2037795Z   test_meta_outplace_ge_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2037951Z   test_meta_outplace_ge_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2038105Z   test_meta_outplace_ge_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2038258Z   test_meta_outplace_ge_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2038410Z   test_meta_outplace_ge_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2038560Z   test_meta_outplace_ge_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2038698Z   test_meta_outplace_ge_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2038867Z   test_meta_outplace_geqrf_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2039028Z   test_meta_outplace_geqrf_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2039254Z   test_meta_outplace_geqrf_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2039445Z   test_meta_outplace_geqrf_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2039614Z   test_meta_outplace_gradient_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2039783Z   test_meta_outplace_gradient_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2039951Z   test_meta_outplace_gradient_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2040104Z   test_meta_outplace_gradient_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2040267Z   test_meta_outplace_gradient_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2040435Z   test_meta_outplace_gradient_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2040596Z   test_meta_outplace_gradient_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2040759Z   test_meta_outplace_gradient_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2040916Z   test_meta_outplace_gradient_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2041076Z   test_meta_outplace_gradient_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2041247Z   test_meta_outplace_grid_sampler_2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2041418Z   test_meta_outplace_grid_sampler_2d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2041562Z   test_meta_outplace_gt_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2041718Z   test_meta_outplace_gt_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2041876Z   test_meta_outplace_gt_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2042037Z   test_meta_outplace_gt_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2042194Z   test_meta_outplace_gt_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2042347Z   test_meta_outplace_gt_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2042500Z   test_meta_outplace_gt_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2042652Z   test_meta_outplace_gt_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2042802Z   test_meta_outplace_gt_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2042943Z   test_meta_outplace_gt_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2043102Z   test_meta_outplace_half_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2043260Z   test_meta_outplace_half_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2043426Z   test_meta_outplace_half_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2043589Z   test_meta_outplace_half_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2043748Z   test_meta_outplace_half_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2043902Z   test_meta_outplace_half_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2044054Z   test_meta_outplace_half_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2044243Z   test_meta_outplace_half_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2044389Z   test_meta_outplace_half_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2044574Z   test_meta_outplace_half_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2044730Z   test_meta_outplace_half_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2044882Z   test_meta_outplace_half_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2045050Z   test_meta_outplace_heaviside_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2045214Z   test_meta_outplace_heaviside_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2045381Z   test_meta_outplace_heaviside_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2045549Z   test_meta_outplace_heaviside_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2045713Z   test_meta_outplace_heaviside_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2045866Z   test_meta_outplace_heaviside_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2046025Z   test_meta_outplace_heaviside_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2046180Z   test_meta_outplace_heaviside_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2046342Z   test_meta_outplace_heaviside_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2046497Z   test_meta_outplace_heaviside_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2046655Z   test_meta_outplace_histc_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2046817Z   test_meta_outplace_histc_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2046970Z   test_meta_outplace_histc_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2047138Z   test_meta_outplace_histogram_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2047289Z   test_meta_outplace_histogram_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2047458Z   test_meta_outplace_histogramdd_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2047631Z   test_meta_outplace_histogramdd_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2047793Z   test_meta_outplace_hsplit_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2047952Z   test_meta_outplace_hsplit_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2048120Z   test_meta_outplace_hsplit_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2048287Z   test_meta_outplace_hsplit_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2048460Z   test_meta_outplace_hsplit_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2048609Z   test_meta_outplace_hsplit_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2048767Z   test_meta_outplace_hsplit_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2048921Z   test_meta_outplace_hsplit_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2049079Z   test_meta_outplace_hsplit_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2049237Z   test_meta_outplace_hsplit_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2049419Z   test_meta_outplace_hsplit_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2049576Z   test_meta_outplace_hsplit_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2049802Z   test_meta_outplace_hsplit_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2049967Z   test_meta_outplace_hstack_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2050113Z   test_meta_outplace_hstack_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2050279Z   test_meta_outplace_hstack_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2050445Z   test_meta_outplace_hstack_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2050610Z   test_meta_outplace_hstack_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2050775Z   test_meta_outplace_hstack_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2050937Z   test_meta_outplace_hstack_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2051096Z   test_meta_outplace_hstack_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2051253Z   test_meta_outplace_hstack_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2051407Z   test_meta_outplace_hstack_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2051547Z   test_meta_outplace_hstack_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2051702Z   test_meta_outplace_hstack_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
2022-11-23T01:34:00.2051857Z   test_meta_outplace_hstack_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2052019Z   test_meta_outplace_hypot_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2052179Z   test_meta_outplace_hypot_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2052335Z   test_meta_outplace_hypot_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2052490Z   test_meta_outplace_i0_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2052644Z   test_meta_outplace_i0_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2052801Z   test_meta_outplace_i0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2052944Z   test_meta_outplace_i0_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2053098Z   test_meta_outplace_i0_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2053253Z   test_meta_outplace_i0_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2053404Z   test_meta_outplace_i0_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2053557Z   test_meta_outplace_i0_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2053706Z   test_meta_outplace_i0_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2053871Z   test_meta_outplace_igamma_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2054033Z   test_meta_outplace_igamma_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2054192Z   test_meta_outplace_igamma_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2054337Z   test_meta_outplace_igamma_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2054534Z   test_meta_outplace_igammac_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2054730Z   test_meta_outplace_igammac_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2054890Z   test_meta_outplace_igammac_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2055048Z   test_meta_outplace_igammac_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2055205Z   test_meta_outplace_imag_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2055366Z   test_meta_outplace_imag_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2055523Z   test_meta_outplace_imag_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2055691Z   test_meta_outplace_index_add_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2055844Z   test_meta_outplace_index_add_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2056015Z   test_meta_outplace_index_add_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2056184Z   test_meta_outplace_index_add_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2056350Z   test_meta_outplace_index_add_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2056517Z   test_meta_outplace_index_add_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2056681Z   test_meta_outplace_index_add_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2056845Z   test_meta_outplace_index_add_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2057006Z   test_meta_outplace_index_add_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2057162Z   test_meta_outplace_index_add_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2057306Z   test_meta_outplace_index_add_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2057466Z   test_meta_outplace_index_add_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2057622Z   test_meta_outplace_index_add_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2057787Z   test_meta_outplace_index_copy_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2057949Z   test_meta_outplace_index_copy_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2058119Z   test_meta_outplace_index_copy_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2058291Z   test_meta_outplace_index_copy_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2058456Z   test_meta_outplace_index_copy_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2058622Z   test_meta_outplace_index_copy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2058775Z   test_meta_outplace_index_copy_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2058936Z   test_meta_outplace_index_copy_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2059099Z   test_meta_outplace_index_copy_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2059262Z   test_meta_outplace_index_copy_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2059425Z   test_meta_outplace_index_copy_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2059617Z   test_meta_outplace_index_copy_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2059809Z   test_meta_outplace_index_fill_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2059972Z   test_meta_outplace_index_fill_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2060141Z   test_meta_outplace_index_fill_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2060298Z   test_meta_outplace_index_fill_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2060461Z   test_meta_outplace_index_fill_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2060627Z   test_meta_outplace_index_fill_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2060793Z   test_meta_outplace_index_fill_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2060954Z   test_meta_outplace_index_fill_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2061116Z   test_meta_outplace_index_fill_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2061276Z   test_meta_outplace_index_fill_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2061437Z   test_meta_outplace_index_fill_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2061586Z   test_meta_outplace_index_fill_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2061751Z   test_meta_outplace_index_put_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2061912Z   test_meta_outplace_index_put_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2062082Z   test_meta_outplace_index_put_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2062251Z   test_meta_outplace_index_put_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2062419Z   test_meta_outplace_index_put_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2062583Z   test_meta_outplace_index_put_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2062745Z   test_meta_outplace_index_put_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2062909Z   test_meta_outplace_index_put_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2063055Z   test_meta_outplace_index_put_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2063212Z   test_meta_outplace_index_put_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2063368Z   test_meta_outplace_index_put_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2063530Z   test_meta_outplace_index_put_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2063684Z   test_meta_outplace_index_put_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2063852Z   test_meta_outplace_index_reduce_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2064020Z   test_meta_outplace_index_reduce_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2064188Z   test_meta_outplace_index_reduce_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2064352Z   test_meta_outplace_index_reduce_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2064608Z   test_meta_outplace_index_reduce_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2064774Z   test_meta_outplace_index_reduce_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2064972Z   test_meta_outplace_index_reduce_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2065139Z   test_meta_outplace_index_reduce_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2065302Z   test_meta_outplace_index_reduce_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2065474Z   test_meta_outplace_index_select_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2065636Z   test_meta_outplace_index_select_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2065810Z   test_meta_outplace_index_select_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2065985Z   test_meta_outplace_index_select_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2066154Z   test_meta_outplace_index_select_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2066311Z   test_meta_outplace_index_select_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2066478Z   test_meta_outplace_index_select_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2066643Z   test_meta_outplace_index_select_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2066807Z   test_meta_outplace_index_select_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2066973Z   test_meta_outplace_index_select_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2067137Z   test_meta_outplace_index_select_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2067300Z   test_meta_outplace_index_select_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2067464Z   test_meta_outplace_index_select_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2067629Z   test_meta_outplace_inner_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2067782Z   test_meta_outplace_inner_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2067943Z   test_meta_outplace_inner_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2068101Z   test_meta_outplace_inner_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2068257Z   test_meta_outplace_inner_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2068415Z   test_meta_outplace_inner_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2068572Z   test_meta_outplace_inner_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2068729Z   test_meta_outplace_inner_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2068889Z   test_meta_outplace_inner_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2069029Z   test_meta_outplace_inner_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2069188Z   test_meta_outplace_int_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2069342Z   test_meta_outplace_int_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2069506Z   test_meta_outplace_int_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2069696Z   test_meta_outplace_int_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2069852Z   test_meta_outplace_int_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2070037Z   test_meta_outplace_int_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2070193Z   test_meta_outplace_int_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2070348Z   test_meta_outplace_int_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2070489Z   test_meta_outplace_int_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2070644Z   test_meta_outplace_int_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2070797Z   test_meta_outplace_int_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2070954Z   test_meta_outplace_int_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2071121Z   test_meta_outplace_isclose_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2071281Z   test_meta_outplace_isclose_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2071448Z   test_meta_outplace_isclose_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2071613Z   test_meta_outplace_isclose_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2071776Z   test_meta_outplace_isclose_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2071923Z   test_meta_outplace_isclose_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2072080Z   test_meta_outplace_isclose_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2073037Z   test_meta_outplace_isfinite_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2075190Z   test_meta_outplace_isin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2076274Z   test_meta_outplace_isinf_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2076598Z   test_meta_outplace_isinf_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2077082Z   test_meta_outplace_isinf_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2077433Z   test_meta_outplace_isinf_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2077756Z   test_meta_outplace_isinf_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2078226Z   test_meta_outplace_isinf_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2078867Z   test_meta_outplace_isnan_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
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2022-11-23T01:34:00.2079180Z   test_meta_outplace_isnan_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2080522Z   test_meta_outplace_isneginf_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2080998Z   test_meta_outplace_isneginf_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2083693Z   test_meta_outplace_isreal_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2084018Z   test_meta_outplace_isreal_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2084186Z   test_meta_outplace_isreal_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2084348Z   test_meta_outplace_isreal_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2085823Z   test_meta_outplace_istft_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2086171Z   test_meta_outplace_jiterator_2inputs_2outputs_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2086716Z   test_meta_outplace_jiterator_2inputs_2outputs_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2086898Z   test_meta_outplace_jiterator_2inputs_2outputs_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2087081Z   test_meta_outplace_jiterator_2inputs_2outputs_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2087265Z   test_meta_outplace_jiterator_2inputs_2outputs_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2087446Z   test_meta_outplace_jiterator_2inputs_2outputs_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2087625Z   test_meta_outplace_jiterator_2inputs_2outputs_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2087806Z   test_meta_outplace_jiterator_2inputs_2outputs_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2087987Z   test_meta_outplace_jiterator_2inputs_2outputs_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2088153Z   test_meta_outplace_jiterator_2inputs_2outputs_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2088346Z   test_meta_outplace_jiterator_4inputs_with_extra_args_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2088533Z   test_meta_outplace_jiterator_4inputs_with_extra_args_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2088730Z   test_meta_outplace_jiterator_4inputs_with_extra_args_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2088924Z   test_meta_outplace_jiterator_4inputs_with_extra_args_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2089114Z   test_meta_outplace_jiterator_4inputs_with_extra_args_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2089304Z   test_meta_outplace_jiterator_4inputs_with_extra_args_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2089493Z   test_meta_outplace_jiterator_4inputs_with_extra_args_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2089677Z   test_meta_outplace_jiterator_4inputs_with_extra_args_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2089860Z   test_meta_outplace_jiterator_4inputs_with_extra_args_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2090030Z   test_meta_outplace_jiterator_4inputs_with_extra_args_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2090242Z   test_meta_outplace_jiterator_4inputs_with_extra_args_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2090452Z   test_meta_outplace_jiterator_4inputs_with_extra_args_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2090630Z   test_meta_outplace_jiterator_binary_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2090804Z   test_meta_outplace_jiterator_binary_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2090981Z   test_meta_outplace_jiterator_binary_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2091155Z   test_meta_outplace_jiterator_binary_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2091329Z   test_meta_outplace_jiterator_binary_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2091502Z   test_meta_outplace_jiterator_binary_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2091673Z   test_meta_outplace_jiterator_binary_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2091832Z   test_meta_outplace_jiterator_binary_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2092002Z   test_meta_outplace_jiterator_binary_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2092167Z   test_meta_outplace_jiterator_binary_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2092336Z   test_meta_outplace_jiterator_binary_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2092501Z   test_meta_outplace_jiterator_binary_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2092684Z   test_meta_outplace_jiterator_binary_return_by_ref_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2092869Z   test_meta_outplace_jiterator_binary_return_by_ref_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2093061Z   test_meta_outplace_jiterator_binary_return_by_ref_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2093250Z   test_meta_outplace_jiterator_binary_return_by_ref_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2093425Z   test_meta_outplace_jiterator_binary_return_by_ref_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2093609Z   test_meta_outplace_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2093791Z   test_meta_outplace_jiterator_binary_return_by_ref_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2093975Z   test_meta_outplace_jiterator_binary_return_by_ref_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2094158Z   test_meta_outplace_jiterator_binary_return_by_ref_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2094337Z   test_meta_outplace_jiterator_binary_return_by_ref_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2094521Z   test_meta_outplace_jiterator_binary_return_by_ref_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2094702Z   test_meta_outplace_jiterator_binary_return_by_ref_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2094876Z   test_meta_outplace_jiterator_unary_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2095238Z   test_meta_outplace_jiterator_unary_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2095413Z   test_meta_outplace_jiterator_unary_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2095612Z   test_meta_outplace_jiterator_unary_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2095783Z   test_meta_outplace_jiterator_unary_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2095950Z   test_meta_outplace_jiterator_unary_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2096119Z   test_meta_outplace_jiterator_unary_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2096288Z   test_meta_outplace_jiterator_unary_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2096457Z   test_meta_outplace_jiterator_unary_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2096623Z   test_meta_outplace_jiterator_unary_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2096779Z   test_meta_outplace_jiterator_unary_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2096939Z   test_meta_outplace_kron_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2097097Z   test_meta_outplace_kron_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2097261Z   test_meta_outplace_kron_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2097422Z   test_meta_outplace_kron_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2097581Z   test_meta_outplace_kron_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2097740Z   test_meta_outplace_kron_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2097891Z   test_meta_outplace_kron_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2098052Z   test_meta_outplace_kron_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2098198Z   test_meta_outplace_kron_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2098355Z   test_meta_outplace_kron_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2098509Z   test_meta_outplace_kron_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2098663Z   test_meta_outplace_kron_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2098829Z   test_meta_outplace_kthvalue_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2098994Z   test_meta_outplace_kthvalue_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2099159Z   test_meta_outplace_kthvalue_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2099323Z   test_meta_outplace_kthvalue_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2099481Z   test_meta_outplace_kthvalue_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2099933Z   test_meta_outplace_kthvalue_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2100088Z   test_meta_outplace_lcm_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2100271Z   test_meta_outplace_lcm_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2100605Z   test_meta_outplace_lcm_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2100757Z   test_meta_outplace_lcm_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2100909Z   test_meta_outplace_ldexp_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2101067Z   test_meta_outplace_ldexp_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2101232Z   test_meta_outplace_ldexp_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2101396Z   test_meta_outplace_ldexp_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2101557Z   test_meta_outplace_ldexp_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2101714Z   test_meta_outplace_ldexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2101870Z   test_meta_outplace_ldexp_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2102026Z   test_meta_outplace_ldexp_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2102183Z   test_meta_outplace_ldexp_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2102484Z   test_meta_outplace_ldexp_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2102639Z   test_meta_outplace_ldexp_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2102797Z   test_meta_outplace_le_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2103112Z   test_meta_outplace_le_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2103267Z   test_meta_outplace_le_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2103422Z   test_meta_outplace_le_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2103575Z   test_meta_outplace_le_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2103715Z   test_meta_outplace_le_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2103869Z   test_meta_outplace_le_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2104023Z   test_meta_outplace_le_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2104173Z   test_meta_outplace_le_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2104337Z   test_meta_outplace_lerp_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2104583Z   test_meta_outplace_lerp_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2104748Z   test_meta_outplace_lerp_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2104909Z   test_meta_outplace_lerp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2105063Z   test_meta_outplace_lerp_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2105212Z   test_meta_outplace_lgamma_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2105417Z   test_meta_outplace_lgamma_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2105582Z   test_meta_outplace_lgamma_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2105779Z   test_meta_outplace_lgamma_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2105940Z   test_meta_outplace_lgamma_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2106096Z   test_meta_outplace_lgamma_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2106248Z   test_meta_outplace_lgamma_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2106403Z   test_meta_outplace_lgamma_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2106549Z   test_meta_outplace_lgamma_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2106728Z   test_meta_outplace_linalg_cholesky_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2106905Z   test_meta_outplace_linalg_cholesky_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.003s)
2022-11-23T01:34:00.2107083Z   test_meta_outplace_linalg_cholesky_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2107252Z   test_meta_outplace_linalg_cholesky_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2107433Z   test_meta_outplace_linalg_cholesky_ex_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2107610Z   test_meta_outplace_linalg_cholesky_ex_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2107783Z   test_meta_outplace_linalg_cholesky_ex_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2107959Z   test_meta_outplace_linalg_cholesky_ex_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2108132Z   test_meta_outplace_linalg_cond_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2108290Z   test_meta_outplace_linalg_cond_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2108456Z   test_meta_outplace_linalg_cond_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2108620Z   test_meta_outplace_linalg_cond_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2108785Z   test_meta_outplace_linalg_cross_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2108954Z   test_meta_outplace_linalg_cross_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2109122Z   test_meta_outplace_linalg_cross_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2109292Z   test_meta_outplace_linalg_cross_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2109457Z   test_meta_outplace_linalg_cross_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2109624Z   test_meta_outplace_linalg_cross_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2109776Z   test_meta_outplace_linalg_cross_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2109942Z   test_meta_outplace_linalg_cross_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2110107Z   test_meta_outplace_linalg_cross_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2110268Z   test_meta_outplace_linalg_cross_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2110440Z   test_meta_outplace_linalg_det_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2110654Z   test_meta_outplace_linalg_det_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2110847Z   test_meta_outplace_linalg_det_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2111012Z   test_meta_outplace_linalg_det_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2111192Z   test_meta_outplace_linalg_det_singular_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2111359Z   test_meta_outplace_linalg_det_singular_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2111533Z   test_meta_outplace_linalg_det_singular_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2111707Z   test_meta_outplace_linalg_det_singular_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2111879Z   test_meta_outplace_linalg_eig_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2112072Z   test_meta_outplace_linalg_eig_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2112236Z   test_meta_outplace_linalg_eig_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2112401Z   test_meta_outplace_linalg_eig_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2112572Z   test_meta_outplace_linalg_eigh_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2112743Z   test_meta_outplace_linalg_eigh_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2112897Z   test_meta_outplace_linalg_eigh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2113066Z   test_meta_outplace_linalg_eigh_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2113240Z   test_meta_outplace_linalg_eigvals_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2113418Z   test_meta_outplace_linalg_eigvals_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2113588Z   test_meta_outplace_linalg_eigvals_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2113762Z   test_meta_outplace_linalg_eigvals_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2113937Z   test_meta_outplace_linalg_eigvalsh_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2114111Z   test_meta_outplace_linalg_eigvalsh_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2114283Z   test_meta_outplace_linalg_eigvalsh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2114444Z   test_meta_outplace_linalg_eigvalsh_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2114635Z   test_meta_outplace_linalg_householder_product_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2114823Z   test_meta_outplace_linalg_householder_product_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2115010Z   test_meta_outplace_linalg_householder_product_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2115197Z   test_meta_outplace_linalg_householder_product_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2115365Z   test_meta_outplace_linalg_inv_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2115533Z   test_meta_outplace_linalg_inv_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2115729Z   test_meta_outplace_linalg_inv_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2115894Z   test_meta_outplace_linalg_inv_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2116100Z   test_meta_outplace_linalg_inv_ex_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2116260Z   test_meta_outplace_linalg_inv_ex_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2116428Z   test_meta_outplace_linalg_inv_ex_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2116598Z   test_meta_outplace_linalg_inv_ex_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2116777Z   test_meta_outplace_linalg_ldl_factor_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2116954Z   test_meta_outplace_linalg_ldl_factor_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2117269Z   test_meta_outplace_linalg_ldl_factor_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2117505Z   test_meta_outplace_linalg_ldl_factor_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2117684Z   test_meta_outplace_linalg_ldl_factor_ex_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2117865Z   test_meta_outplace_linalg_ldl_factor_ex_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2118028Z   test_meta_outplace_linalg_ldl_factor_ex_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2118197Z   test_meta_outplace_linalg_ldl_factor_ex_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2118375Z   test_meta_outplace_linalg_ldl_solve_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2118549Z   test_meta_outplace_linalg_ldl_solve_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2118722Z   test_meta_outplace_linalg_ldl_solve_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2118894Z   test_meta_outplace_linalg_ldl_solve_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2119065Z   test_meta_outplace_linalg_lstsq_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2119234Z   test_meta_outplace_linalg_lstsq_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2119400Z   test_meta_outplace_linalg_lstsq_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2130174Z   test_meta_outplace_linalg_norm_subgradients_at_zero_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2130346Z   test_meta_outplace_linalg_pinv_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2142701Z   test_meta_outplace_linspace_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2143038Z   test_meta_outplace_linspace_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2143199Z   test_meta_outplace_linspace_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2143357Z   test_meta_outplace_linspace_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2143513Z   test_meta_outplace_linspace_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2143674Z   test_meta_outplace_linspace_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2143834Z   test_meta_outplace_linspace_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2143976Z   test_meta_outplace_log10_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2144135Z   test_meta_outplace_log10_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2144297Z   test_meta_outplace_log10_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2144535Z   test_meta_outplace_log10_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2144695Z   test_meta_outplace_log10_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2144849Z   test_meta_outplace_log10_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2145007Z   test_meta_outplace_log10_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2145166Z   test_meta_outplace_log10_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2145308Z   test_meta_outplace_log10_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2145467Z   test_meta_outplace_log10_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2145622Z   test_meta_outplace_log10_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2145784Z   test_meta_outplace_log1p_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2145941Z   test_meta_outplace_log1p_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2146103Z   test_meta_outplace_log1p_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2146258Z   test_meta_outplace_log1p_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2146461Z   test_meta_outplace_log1p_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2146616Z   test_meta_outplace_log1p_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2146788Z   test_meta_outplace_log1p_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2146946Z   test_meta_outplace_log1p_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2147099Z   test_meta_outplace_log1p_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2147257Z   test_meta_outplace_log2_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2147413Z   test_meta_outplace_log2_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2147578Z   test_meta_outplace_log2_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2147742Z   test_meta_outplace_log2_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2147898Z   test_meta_outplace_log2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2148052Z   test_meta_outplace_log2_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2148196Z   test_meta_outplace_log2_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2148350Z   test_meta_outplace_log2_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2148508Z   test_meta_outplace_log2_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2148661Z   test_meta_outplace_log2_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2148815Z   test_meta_outplace_log2_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2148978Z   test_meta_outplace_log_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2149134Z   test_meta_outplace_log_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2149298Z   test_meta_outplace_log_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2149458Z   test_meta_outplace_log_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2149601Z   test_meta_outplace_log_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2149757Z   test_meta_outplace_log_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2149913Z   test_meta_outplace_log_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2150067Z   test_meta_outplace_log_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2150223Z   test_meta_outplace_log_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2150375Z   test_meta_outplace_log_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2150530Z   test_meta_outplace_log_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2150701Z   test_meta_outplace_log_softmax_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2150855Z   test_meta_outplace_log_softmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2151021Z   test_meta_outplace_log_softmax_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2151202Z   test_meta_outplace_log_softmax_with_dtype_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2151380Z   test_meta_outplace_log_softmax_with_dtype_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2151595Z   test_meta_outplace_log_softmax_with_dtype_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2151804Z   test_meta_outplace_log_softmax_with_dtype_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2151987Z   test_meta_outplace_log_softmax_with_dtype_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2152166Z   test_meta_outplace_log_softmax_with_dtype_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2152338Z   test_meta_outplace_log_softmax_with_dtype_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2152507Z   test_meta_outplace_log_softmax_with_dtype_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2152667Z   test_meta_outplace_log_softmax_with_dtype_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2152840Z   test_meta_outplace_log_softmax_with_dtype_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2153008Z   test_meta_outplace_log_softmax_with_dtype_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2153182Z   test_meta_outplace_log_softmax_with_dtype_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2153358Z   test_meta_outplace_log_softmax_with_dtype_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2153528Z   test_meta_outplace_logaddexp2_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2153696Z   test_meta_outplace_logaddexp2_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2153863Z   test_meta_outplace_logaddexp2_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2154033Z   test_meta_outplace_logaddexp_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2154187Z   test_meta_outplace_logaddexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2154358Z   test_meta_outplace_logaddexp_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2154531Z   test_meta_outplace_logcumsumexp_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2154703Z   test_meta_outplace_logcumsumexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2154873Z   test_meta_outplace_logcumsumexp_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2155040Z   test_meta_outplace_logdet_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2155207Z   test_meta_outplace_logdet_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2155368Z   test_meta_outplace_logdet_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2155528Z   test_meta_outplace_logdet_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2155683Z   test_meta_outplace_logical_and_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2155849Z   test_meta_outplace_logical_and_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2156020Z   test_meta_outplace_logical_and_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2156191Z   test_meta_outplace_logical_and_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2156360Z   test_meta_outplace_logical_and_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2156555Z   test_meta_outplace_logical_and_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2156720Z   test_meta_outplace_logical_and_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2156909Z   test_meta_outplace_logical_and_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2157076Z   test_meta_outplace_logical_and_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2157408Z   test_meta_outplace_logical_and_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2157597Z   test_meta_outplace_logical_and_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2157760Z   test_meta_outplace_logical_and_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2157929Z   test_meta_outplace_logical_not_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2158092Z   test_meta_outplace_logical_not_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2158265Z   test_meta_outplace_logical_not_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2158437Z   test_meta_outplace_logical_not_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2158605Z   test_meta_outplace_logical_not_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2158769Z   test_meta_outplace_logical_not_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2158921Z   test_meta_outplace_logical_not_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2159084Z   test_meta_outplace_logical_not_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2159249Z   test_meta_outplace_logical_not_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2159413Z   test_meta_outplace_logical_not_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2159580Z   test_meta_outplace_logical_not_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2159740Z   test_meta_outplace_logical_not_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2159908Z   test_meta_outplace_logical_or_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2160073Z   test_meta_outplace_logical_or_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2160242Z   test_meta_outplace_logical_or_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2160400Z   test_meta_outplace_logical_or_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2160566Z   test_meta_outplace_logical_or_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2160732Z   test_meta_outplace_logical_or_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2160899Z   test_meta_outplace_logical_or_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2161063Z   test_meta_outplace_logical_or_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2161225Z   test_meta_outplace_logical_or_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2161387Z   test_meta_outplace_logical_or_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2161549Z   test_meta_outplace_logical_or_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2161709Z   test_meta_outplace_logical_or_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2161924Z   test_meta_outplace_logical_xor_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2162124Z   test_meta_outplace_logical_xor_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2162298Z   test_meta_outplace_logical_xor_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2162467Z   test_meta_outplace_logical_xor_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2162634Z   test_meta_outplace_logical_xor_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2162799Z   test_meta_outplace_logical_xor_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2162965Z   test_meta_outplace_logical_xor_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2163130Z   test_meta_outplace_logical_xor_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2163293Z   test_meta_outplace_logical_xor_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2163446Z   test_meta_outplace_logical_xor_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2163610Z   test_meta_outplace_logical_xor_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2163772Z   test_meta_outplace_logical_xor_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2163938Z   test_meta_outplace_logit_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2164100Z   test_meta_outplace_logit_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2164261Z   test_meta_outplace_logit_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.003s)
2022-11-23T01:34:00.2164420Z   test_meta_outplace_logit_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2164576Z   test_meta_outplace_logit_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2164735Z   test_meta_outplace_logit_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2164879Z   test_meta_outplace_logit_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2165035Z   test_meta_outplace_logit_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2165188Z   test_meta_outplace_logit_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2165357Z   test_meta_outplace_logspace_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2165526Z   test_meta_outplace_logspace_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2165696Z   test_meta_outplace_logspace_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2165864Z   test_meta_outplace_logspace_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2166030Z   test_meta_outplace_logspace_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2166193Z   test_meta_outplace_logspace_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2166337Z   test_meta_outplace_logspace_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2166493Z   test_meta_outplace_logspace_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2166653Z   test_meta_outplace_logspace_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2166809Z   test_meta_outplace_logspace_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2167010Z   test_meta_outplace_logsumexp_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2167173Z   test_meta_outplace_logsumexp_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2167366Z   test_meta_outplace_logsumexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2167534Z   test_meta_outplace_logsumexp_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2167698Z   test_meta_outplace_logsumexp_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2167844Z   test_meta_outplace_logsumexp_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2167998Z   test_meta_outplace_logsumexp_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2168167Z   test_meta_outplace_logsumexp_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2168324Z   test_meta_outplace_logsumexp_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2168487Z   test_meta_outplace_long_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2168642Z   test_meta_outplace_long_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2168805Z   test_meta_outplace_long_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2168967Z   test_meta_outplace_long_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2169126Z   test_meta_outplace_long_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2169274Z   test_meta_outplace_long_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2169428Z   test_meta_outplace_long_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2169586Z   test_meta_outplace_long_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2169746Z   test_meta_outplace_long_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2169903Z   test_meta_outplace_long_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2170059Z   test_meta_outplace_long_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2170214Z   test_meta_outplace_long_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2170369Z   test_meta_outplace_long_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2170515Z   test_meta_outplace_lt_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2170669Z   test_meta_outplace_lt_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2170827Z   test_meta_outplace_lt_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2170982Z   test_meta_outplace_lt_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2171138Z   test_meta_outplace_lt_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2171290Z   test_meta_outplace_lt_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2171443Z   test_meta_outplace_lt_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2171595Z   test_meta_outplace_lt_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2171746Z   test_meta_outplace_lt_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2171884Z   test_meta_outplace_lt_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2172074Z   test_meta_outplace_lu_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2172234Z   test_meta_outplace_lu_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2172418Z   test_meta_outplace_lu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2172574Z   test_meta_outplace_lu_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2172741Z   test_meta_outplace_lu_solve_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2172908Z   test_meta_outplace_lu_solve_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2173071Z   test_meta_outplace_lu_solve_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2173234Z   test_meta_outplace_lu_solve_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2173437Z   test_meta_outplace_lu_unpack_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2173604Z   test_meta_outplace_lu_unpack_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2173773Z   test_meta_outplace_lu_unpack_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2173939Z   test_meta_outplace_lu_unpack_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2174099Z   test_meta_outplace_mH_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2174252Z   test_meta_outplace_mH_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2174411Z   test_meta_outplace_mH_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2174569Z   test_meta_outplace_mH_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2174726Z   test_meta_outplace_mH_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2174868Z   test_meta_outplace_mH_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2175024Z   test_meta_outplace_mH_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2175183Z   test_meta_outplace_mH_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2175337Z   test_meta_outplace_mH_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2175490Z   test_meta_outplace_mH_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2175643Z   test_meta_outplace_mH_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2175794Z   test_meta_outplace_mH_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2175946Z   test_meta_outplace_mH_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2176090Z   test_meta_outplace_mT_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2176241Z   test_meta_outplace_mT_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2176403Z   test_meta_outplace_mT_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2176560Z   test_meta_outplace_mT_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2176717Z   test_meta_outplace_mT_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2176872Z   test_meta_outplace_mT_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2177027Z   test_meta_outplace_mT_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2177211Z   test_meta_outplace_mT_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2177364Z   test_meta_outplace_mT_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2177530Z   test_meta_outplace_mT_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2177683Z   test_meta_outplace_mT_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2177833Z   test_meta_outplace_mT_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2177982Z   test_meta_outplace_mT_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2178155Z   test_meta_outplace_masked_amax_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2178326Z   test_meta_outplace_masked_amax_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2178498Z   test_meta_outplace_masked_amax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2178665Z   test_meta_outplace_masked_amax_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2178834Z   test_meta_outplace_masked_amax_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2178985Z   test_meta_outplace_masked_amax_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2179148Z   test_meta_outplace_masked_amax_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2179311Z   test_meta_outplace_masked_amax_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2179475Z   test_meta_outplace_masked_amax_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2179649Z   test_meta_outplace_masked_amin_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2179816Z   test_meta_outplace_masked_amin_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2179984Z   test_meta_outplace_masked_amin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2180152Z   test_meta_outplace_masked_amin_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2180314Z   test_meta_outplace_masked_amin_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2180466Z   test_meta_outplace_masked_amin_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2180628Z   test_meta_outplace_masked_amin_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2180793Z   test_meta_outplace_masked_amin_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2180960Z   test_meta_outplace_masked_amin_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2181131Z   test_meta_outplace_masked_argmax_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2181304Z   test_meta_outplace_masked_argmax_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2181474Z   test_meta_outplace_masked_argmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2181640Z   test_meta_outplace_masked_argmax_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2181807Z   test_meta_outplace_masked_argmax_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2181960Z   test_meta_outplace_masked_argmax_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2182126Z   test_meta_outplace_masked_argmax_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2182332Z   test_meta_outplace_masked_argmax_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2182495Z   test_meta_outplace_masked_argmax_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2182695Z   test_meta_outplace_masked_argmin_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2182865Z   test_meta_outplace_masked_argmin_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2183033Z   test_meta_outplace_masked_argmin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2183198Z   test_meta_outplace_masked_argmin_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2183364Z   test_meta_outplace_masked_argmin_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2183518Z   test_meta_outplace_masked_argmin_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2183682Z   test_meta_outplace_masked_argmin_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2183851Z   test_meta_outplace_masked_argmin_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2184016Z   test_meta_outplace_masked_argmin_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2184193Z   test_meta_outplace_masked_cumprod_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2184369Z   test_meta_outplace_masked_cumprod_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2184635Z   test_meta_outplace_masked_cumprod_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2184808Z   test_meta_outplace_masked_cumprod_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2184983Z   test_meta_outplace_masked_cumprod_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2185140Z   test_meta_outplace_masked_cumprod_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2185309Z   test_meta_outplace_masked_cumprod_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2185473Z   test_meta_outplace_masked_cumprod_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2185639Z   test_meta_outplace_masked_cumprod_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2185808Z   test_meta_outplace_masked_cumprod_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2185979Z   test_meta_outplace_masked_cumsum_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2186154Z   test_meta_outplace_masked_cumsum_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2186326Z   test_meta_outplace_masked_cumsum_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2186499Z   test_meta_outplace_masked_cumsum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2186668Z   test_meta_outplace_masked_cumsum_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2186820Z   test_meta_outplace_masked_cumsum_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2186985Z   test_meta_outplace_masked_cumsum_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2187149Z   test_meta_outplace_masked_cumsum_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2187316Z   test_meta_outplace_masked_cumsum_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2187515Z   test_meta_outplace_masked_cumsum_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2187683Z   test_meta_outplace_masked_fill_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2187878Z   test_meta_outplace_masked_fill_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2188051Z   test_meta_outplace_masked_fill_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2188220Z   test_meta_outplace_masked_fill_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2188376Z   test_meta_outplace_masked_fill_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2188540Z   test_meta_outplace_masked_fill_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2188707Z   test_meta_outplace_masked_fill_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2188873Z   test_meta_outplace_masked_fill_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2189042Z   test_meta_outplace_masked_fill_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2189205Z   test_meta_outplace_masked_fill_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2189366Z   test_meta_outplace_masked_fill_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2189530Z   test_meta_outplace_masked_fill_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2189690Z   test_meta_outplace_masked_fill_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2189855Z   test_meta_outplace_masked_log_softmax_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2190031Z   test_meta_outplace_masked_log_softmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2190205Z   test_meta_outplace_masked_log_softmax_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2190384Z   test_meta_outplace_masked_logaddexp_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2190559Z   test_meta_outplace_masked_logaddexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2190732Z   test_meta_outplace_masked_logaddexp_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2190909Z   test_meta_outplace_masked_logsumexp_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2191080Z   test_meta_outplace_masked_logsumexp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2191257Z   test_meta_outplace_masked_logsumexp_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2191415Z   test_meta_outplace_masked_logsumexp_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2191587Z   test_meta_outplace_masked_logsumexp_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2191756Z   test_meta_outplace_masked_logsumexp_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.003s)
2022-11-23T01:34:00.2191925Z   test_meta_outplace_masked_logsumexp_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2192090Z   test_meta_outplace_masked_logsumexp_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2192258Z   test_meta_outplace_masked_mean_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2192421Z   test_meta_outplace_masked_mean_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2192621Z   test_meta_outplace_masked_mean_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2192819Z   test_meta_outplace_masked_mean_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2192973Z   test_meta_outplace_masked_mean_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2193139Z   test_meta_outplace_masked_mean_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2193305Z   test_meta_outplace_masked_mean_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2193467Z   test_meta_outplace_masked_mean_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2193630Z   test_meta_outplace_masked_mean_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2193797Z   test_meta_outplace_masked_mean_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2193962Z   test_meta_outplace_masked_mean_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2194123Z   test_meta_outplace_masked_mean_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2194296Z   test_meta_outplace_masked_median_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2194453Z   test_meta_outplace_masked_median_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2194620Z   test_meta_outplace_masked_median_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2194789Z   test_meta_outplace_masked_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2194953Z   test_meta_outplace_masked_norm_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2195119Z   test_meta_outplace_masked_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2195285Z   test_meta_outplace_masked_norm_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2195462Z   test_meta_outplace_masked_normalize_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2195642Z   test_meta_outplace_masked_normalize_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2195819Z   test_meta_outplace_masked_normalize_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2195978Z   test_meta_outplace_masked_normalize_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2196149Z   test_meta_outplace_masked_normalize_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2196324Z   test_meta_outplace_masked_normalize_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2196491Z   test_meta_outplace_masked_prod_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2196658Z   test_meta_outplace_masked_prod_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2196829Z   test_meta_outplace_masked_prod_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2196999Z   test_meta_outplace_masked_prod_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2197296Z   test_meta_outplace_masked_prod_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2197527Z   test_meta_outplace_masked_prod_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2197680Z   test_meta_outplace_masked_prod_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2197897Z   test_meta_outplace_masked_prod_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2198062Z   test_meta_outplace_masked_prod_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2198267Z   test_meta_outplace_masked_prod_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2198431Z   test_meta_outplace_masked_prod_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2198604Z   test_meta_outplace_masked_scatter_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2198769Z   test_meta_outplace_masked_scatter_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2198947Z   test_meta_outplace_masked_scatter_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2199122Z   test_meta_outplace_masked_scatter_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2199295Z   test_meta_outplace_masked_scatter_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2199455Z   test_meta_outplace_masked_scatter_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2199623Z   test_meta_outplace_masked_scatter_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2199791Z   test_meta_outplace_masked_scatter_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2199959Z   test_meta_outplace_masked_scatter_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2200124Z   test_meta_outplace_masked_scatter_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2200289Z   test_meta_outplace_masked_scatter_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2200459Z   test_meta_outplace_masked_scatter_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2200629Z   test_meta_outplace_masked_select_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2200798Z   test_meta_outplace_masked_select_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2200962Z   test_meta_outplace_masked_select_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2201135Z   test_meta_outplace_masked_select_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2201303Z   test_meta_outplace_masked_select_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2201476Z   test_meta_outplace_masked_select_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2201641Z   test_meta_outplace_masked_select_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2201807Z   test_meta_outplace_masked_select_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2201973Z   test_meta_outplace_masked_select_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2202138Z   test_meta_outplace_masked_select_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2202302Z   test_meta_outplace_masked_select_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2202452Z   test_meta_outplace_masked_select_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2202623Z   test_meta_outplace_masked_softmax_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2202792Z   test_meta_outplace_masked_softmax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2203006Z   test_meta_outplace_masked_softmax_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2203205Z   test_meta_outplace_masked_softmin_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2203372Z   test_meta_outplace_masked_softmin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2203538Z   test_meta_outplace_masked_softmin_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2203704Z   test_meta_outplace_masked_std_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2203872Z   test_meta_outplace_masked_std_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2204028Z   test_meta_outplace_masked_std_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2204196Z   test_meta_outplace_masked_std_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2204361Z   test_meta_outplace_masked_std_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2204527Z   test_meta_outplace_masked_std_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2204691Z   test_meta_outplace_masked_std_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2204852Z   test_meta_outplace_masked_std_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2205018Z   test_meta_outplace_masked_std_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2205180Z   test_meta_outplace_masked_std_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2205345Z   test_meta_outplace_masked_sum_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2205498Z   test_meta_outplace_masked_sum_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2205668Z   test_meta_outplace_masked_sum_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2205841Z   test_meta_outplace_masked_sum_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2206007Z   test_meta_outplace_masked_sum_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2206171Z   test_meta_outplace_masked_sum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2206334Z   test_meta_outplace_masked_sum_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2206494Z   test_meta_outplace_masked_sum_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2206655Z   test_meta_outplace_masked_sum_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2206818Z   test_meta_outplace_masked_sum_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2206970Z   test_meta_outplace_masked_sum_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2207133Z   test_meta_outplace_masked_sum_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2207301Z   test_meta_outplace_masked_var_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2207471Z   test_meta_outplace_masked_var_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2207640Z   test_meta_outplace_masked_var_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2207802Z   test_meta_outplace_masked_var_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2207994Z   test_meta_outplace_masked_var_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2208157Z   test_meta_outplace_masked_var_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2208380Z   test_meta_outplace_masked_var_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2208531Z   test_meta_outplace_masked_var_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2208694Z   test_meta_outplace_masked_var_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2208858Z   test_meta_outplace_masked_var_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2209020Z   test_meta_outplace_masked_var_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2209183Z   test_meta_outplace_matmul_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2209352Z   test_meta_outplace_matmul_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2209516Z   test_meta_outplace_matmul_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2209682Z   test_meta_outplace_matmul_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2209839Z   test_meta_outplace_matmul_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2209986Z   test_meta_outplace_matmul_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2210140Z   test_meta_outplace_matmul_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2210291Z   test_meta_outplace_matmul_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2210610Z   test_meta_outplace_matmul_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2210778Z   test_meta_outplace_matrix_exp_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2210951Z   test_meta_outplace_matrix_exp_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2211121Z   test_meta_outplace_matrix_exp_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2211285Z   test_meta_outplace_matrix_exp_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2211438Z   test_meta_outplace_matrix_exp_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2211603Z   test_meta_outplace_max_binary_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2211766Z   test_meta_outplace_max_binary_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2211932Z   test_meta_outplace_max_binary_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2212098Z   test_meta_outplace_max_binary_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2212260Z   test_meta_outplace_max_binary_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2212423Z   test_meta_outplace_max_binary_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2212587Z   test_meta_outplace_max_binary_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2212747Z   test_meta_outplace_max_binary_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2212898Z   test_meta_outplace_max_binary_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2213089Z   test_meta_outplace_max_binary_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2213285Z   test_meta_outplace_max_pool2d_with_indices_backward_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2213503Z   test_meta_outplace_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2213693Z   test_meta_outplace_max_pool2d_with_indices_backward_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2213873Z   test_meta_outplace_max_reduction_no_dim_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2237741Z   test_meta_outplace_msort_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2237901Z   test_meta_outplace_msort_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2238380Z   test_meta_outplace_msort_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2238585Z   test_meta_outplace_msort_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2239088Z   test_meta_outplace_msort_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2239230Z   test_meta_outplace_msort_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2239388Z   test_meta_outplace_mul_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2239540Z   test_meta_outplace_mul_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2239703Z   test_meta_outplace_mul_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2239866Z   test_meta_outplace_mul_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2240022Z   test_meta_outplace_mul_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2240180Z   test_meta_outplace_mul_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2240338Z   test_meta_outplace_mul_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2240481Z   test_meta_outplace_mul_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2240634Z   test_meta_outplace_mul_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2240790Z   test_meta_outplace_mul_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2240942Z   test_meta_outplace_mul_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2241098Z   test_meta_outplace_mul_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2241249Z   test_meta_outplace_mul_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2241424Z   test_meta_outplace_multinomial_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2241592Z   test_meta_outplace_multinomial_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2241760Z   test_meta_outplace_multinomial_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2241904Z   test_meta_outplace_mv_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2242064Z   test_meta_outplace_mv_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2242224Z   test_meta_outplace_mv_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2242383Z   test_meta_outplace_mv_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2242539Z   test_meta_outplace_mv_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2242693Z   test_meta_outplace_mv_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2243149Z   test_meta_outplace_mv_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2243289Z   test_meta_outplace_mv_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2243470Z   test_meta_outplace_mvlgamma_mvlgamma_p_1_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2243678Z   test_meta_outplace_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2243849Z   test_meta_outplace_mvlgamma_mvlgamma_p_1_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2244052Z   test_meta_outplace_mvlgamma_mvlgamma_p_1_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2244227Z   test_meta_outplace_mvlgamma_mvlgamma_p_1_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2244402Z   test_meta_outplace_mvlgamma_mvlgamma_p_1_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2244578Z   test_meta_outplace_mvlgamma_mvlgamma_p_1_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2244750Z   test_meta_outplace_mvlgamma_mvlgamma_p_1_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2244916Z   test_meta_outplace_mvlgamma_mvlgamma_p_3_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2245094Z   test_meta_outplace_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2245265Z   test_meta_outplace_mvlgamma_mvlgamma_p_3_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2245437Z   test_meta_outplace_mvlgamma_mvlgamma_p_3_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2245607Z   test_meta_outplace_mvlgamma_mvlgamma_p_3_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2245786Z   test_meta_outplace_mvlgamma_mvlgamma_p_3_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2245959Z   test_meta_outplace_mvlgamma_mvlgamma_p_3_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2246129Z   test_meta_outplace_mvlgamma_mvlgamma_p_3_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2246308Z   test_meta_outplace_mvlgamma_mvlgamma_p_5_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2246485Z   test_meta_outplace_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2246643Z   test_meta_outplace_mvlgamma_mvlgamma_p_5_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2246812Z   test_meta_outplace_mvlgamma_mvlgamma_p_5_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2246986Z   test_meta_outplace_mvlgamma_mvlgamma_p_5_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2247158Z   test_meta_outplace_mvlgamma_mvlgamma_p_5_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2247332Z   test_meta_outplace_mvlgamma_mvlgamma_p_5_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2247504Z   test_meta_outplace_mvlgamma_mvlgamma_p_5_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2247673Z   test_meta_outplace_nan_to_num_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2247835Z   test_meta_outplace_nan_to_num_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2247999Z   test_meta_outplace_nan_to_num_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.003s)
2022-11-23T01:34:00.2248150Z   test_meta_outplace_nan_to_num_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2248314Z   test_meta_outplace_nan_to_num_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2248480Z   test_meta_outplace_nan_to_num_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2248674Z   test_meta_outplace_nan_to_num_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2248835Z   test_meta_outplace_nan_to_num_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2249022Z   test_meta_outplace_nan_to_num_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2249184Z   test_meta_outplace_nan_to_num_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2249348Z   test_meta_outplace_nanmean_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2249508Z   test_meta_outplace_nanmean_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2249652Z   test_meta_outplace_nanmean_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2249808Z   test_meta_outplace_nanmean_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2249979Z   test_meta_outplace_nanmedian_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2250147Z   test_meta_outplace_nanmedian_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2250477Z   test_meta_outplace_nanmedian_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2250958Z   test_meta_outplace_nanmedian_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2251102Z   test_meta_outplace_nanmedian_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2251272Z   test_meta_outplace_nanquantile_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2251440Z   test_meta_outplace_nanquantile_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2251607Z   test_meta_outplace_nansum_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2251764Z   test_meta_outplace_nansum_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2251925Z   test_meta_outplace_nansum_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2252082Z   test_meta_outplace_nansum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2252237Z   test_meta_outplace_nansum_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2252395Z   test_meta_outplace_nansum_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2252539Z   test_meta_outplace_nansum_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2252690Z   test_meta_outplace_nansum_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2252850Z   test_meta_outplace_nansum_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2253010Z   test_meta_outplace_nansum_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2253179Z   test_meta_outplace_narrow_copy_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2253343Z   test_meta_outplace_narrow_copy_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2253514Z   test_meta_outplace_narrow_copy_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2253682Z   test_meta_outplace_narrow_copy_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2253893Z   test_meta_outplace_narrow_copy_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2254072Z   test_meta_outplace_narrow_copy_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2254241Z   test_meta_outplace_narrow_copy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2254408Z   test_meta_outplace_narrow_copy_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2254575Z   test_meta_outplace_narrow_copy_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2254740Z   test_meta_outplace_narrow_copy_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2254904Z   test_meta_outplace_narrow_copy_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2255070Z   test_meta_outplace_narrow_copy_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2255232Z   test_meta_outplace_narrow_copy_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2255397Z   test_meta_outplace_narrow_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2255542Z   test_meta_outplace_narrow_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2255704Z   test_meta_outplace_narrow_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2255872Z   test_meta_outplace_narrow_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2256035Z   test_meta_outplace_narrow_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2256198Z   test_meta_outplace_narrow_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2256357Z   test_meta_outplace_narrow_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2256510Z   test_meta_outplace_narrow_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2256670Z   test_meta_outplace_narrow_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2256824Z   test_meta_outplace_narrow_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2256963Z   test_meta_outplace_narrow_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2257117Z   test_meta_outplace_narrow_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2257276Z   test_meta_outplace_narrow_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2257449Z   test_meta_outplace_native_batch_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2257623Z   test_meta_outplace_native_batch_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2257798Z   test_meta_outplace_native_batch_norm_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2257980Z   test_meta_outplace_native_dropout_backward_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2258160Z   test_meta_outplace_native_dropout_backward_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2258342Z   test_meta_outplace_native_dropout_backward_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2258505Z   test_meta_outplace_native_dropout_backward_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2258678Z   test_meta_outplace_native_dropout_backward_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2258887Z   test_meta_outplace_native_dropout_backward_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2259085Z   test_meta_outplace_native_dropout_backward_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2259257Z   test_meta_outplace_native_dropout_backward_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2259432Z   test_meta_outplace_native_dropout_backward_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2259602Z   test_meta_outplace_native_dropout_backward_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2259778Z   test_meta_outplace_native_layer_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2259951Z   test_meta_outplace_native_layer_norm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2260114Z   test_meta_outplace_native_layer_norm_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2260271Z   test_meta_outplace_ne_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2260428Z   test_meta_outplace_ne_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2260593Z   test_meta_outplace_ne_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2274853Z   test_meta_outplace_nextafter_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2275388Z   test_meta_outplace_nn_functional__scaled_dot_product_attention_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2275592Z   test_meta_outplace_nn_functional__scaled_dot_product_attention_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.003s)
2022-11-23T01:34:00.2275794Z   test_meta_outplace_nn_functional__scaled_dot_product_attention_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2275989Z   test_meta_outplace_nn_functional_adaptive_avg_pool1d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2276180Z   test_meta_outplace_nn_functional_adaptive_avg_pool1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2276372Z   test_meta_outplace_nn_functional_adaptive_avg_pool1d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2276554Z   test_meta_outplace_nn_functional_adaptive_avg_pool2d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2276746Z   test_meta_outplace_nn_functional_adaptive_avg_pool2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2276935Z   test_meta_outplace_nn_functional_adaptive_avg_pool2d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2277341Z   test_meta_outplace_nn_functional_adaptive_avg_pool3d_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2277557Z   test_meta_outplace_nn_functional_adaptive_avg_pool3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2277746Z   test_meta_outplace_nn_functional_adaptive_avg_pool3d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2277938Z   test_meta_outplace_nn_functional_adaptive_max_pool1d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2278130Z   test_meta_outplace_nn_functional_adaptive_max_pool1d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2278316Z   test_meta_outplace_nn_functional_adaptive_max_pool1d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2278506Z   test_meta_outplace_nn_functional_adaptive_max_pool2d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2278680Z   test_meta_outplace_nn_functional_adaptive_max_pool2d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2278864Z   test_meta_outplace_nn_functional_adaptive_max_pool2d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2279048Z   test_meta_outplace_nn_functional_adaptive_max_pool3d_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2279234Z   test_meta_outplace_nn_functional_adaptive_max_pool3d_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2279475Z   test_meta_outplace_nn_functional_alpha_dropout_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2280067Z   test_meta_outplace_nn_functional_avg_pool1d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2280776Z   test_meta_outplace_nn_functional_avg_pool2d_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2283962Z   test_meta_outplace_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2358869Z   test_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2359078Z   test_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2359283Z   test_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2359484Z   test_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2359688Z   test_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2359950Z   test_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2360177Z   test_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2360378Z   test_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2360573Z   test_meta_outplace_nn_functional_triplet_margin_with_distance_loss_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2360749Z   test_meta_outplace_nn_functional_unfold_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2365270Z   test_meta_outplace_norm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2375010Z   test_meta_outplace_outer_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2379327Z   test_meta_outplace_pinverse_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2379966Z   test_meta_outplace_polar_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2388301Z   test_meta_outplace_positive_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2395677Z   test_meta_outplace_qr_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.003s)
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2022-11-23T01:34:00.2396303Z   test_meta_outplace_quantile_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2396634Z   test_meta_outplace_rad2deg_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2398438Z   test_meta_outplace_rand_like_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2401094Z   test_meta_outplace_randint_like_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2404530Z   test_meta_outplace_randn_like_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2404696Z   test_meta_outplace_randn_like_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2404857Z   test_meta_outplace_ravel_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2405013Z   test_meta_outplace_ravel_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2405179Z   test_meta_outplace_ravel_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2405329Z   test_meta_outplace_ravel_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2405486Z   test_meta_outplace_ravel_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2405675Z   test_meta_outplace_ravel_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2405858Z   test_meta_outplace_ravel_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2406010Z   test_meta_outplace_ravel_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2406167Z   test_meta_outplace_ravel_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2406325Z   test_meta_outplace_ravel_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2406480Z   test_meta_outplace_ravel_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2406637Z   test_meta_outplace_ravel_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2406779Z   test_meta_outplace_ravel_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2406943Z   test_meta_outplace_real_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2407098Z   test_meta_outplace_real_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2407266Z   test_meta_outplace_real_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2407427Z   test_meta_outplace_real_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2407586Z   test_meta_outplace_real_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2407746Z   test_meta_outplace_real_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2407900Z   test_meta_outplace_real_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2408051Z   test_meta_outplace_real_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2408197Z   test_meta_outplace_real_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2408355Z   test_meta_outplace_real_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2408510Z   test_meta_outplace_real_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2408666Z   test_meta_outplace_real_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2408821Z   test_meta_outplace_real_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2408992Z   test_meta_outplace_reciprocal_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2409157Z   test_meta_outplace_reciprocal_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2409329Z   test_meta_outplace_reciprocal_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2409489Z   test_meta_outplace_reciprocal_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2409658Z   test_meta_outplace_reciprocal_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2409825Z   test_meta_outplace_reciprocal_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2409991Z   test_meta_outplace_reciprocal_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2410157Z   test_meta_outplace_reciprocal_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2410320Z   test_meta_outplace_reciprocal_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2410485Z   test_meta_outplace_reciprocal_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2410688Z   test_meta_outplace_reciprocal_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2410872Z   test_meta_outplace_reciprocal_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2411056Z   test_meta_outplace_remainder_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2411224Z   test_meta_outplace_remainder_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2411391Z   test_meta_outplace_remainder_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2411559Z   test_meta_outplace_remainder_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2411725Z   test_meta_outplace_remainder_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2411883Z   test_meta_outplace_remainder_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2412041Z   test_meta_outplace_remainder_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2412204Z   test_meta_outplace_remainder_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2412363Z   test_meta_outplace_remainder_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2412505Z   test_meta_outplace_renorm_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2412670Z   test_meta_outplace_renorm_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2412833Z   test_meta_outplace_renorm_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2412995Z   test_meta_outplace_renorm_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2413157Z   test_meta_outplace_renorm_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2413316Z   test_meta_outplace_renorm_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2413480Z   test_meta_outplace_repeat_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2413639Z   test_meta_outplace_repeat_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2413807Z   test_meta_outplace_repeat_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2413960Z   test_meta_outplace_repeat_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2414123Z   test_meta_outplace_repeat_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2414279Z   test_meta_outplace_repeat_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2414433Z   test_meta_outplace_repeat_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2414595Z   test_meta_outplace_repeat_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2414751Z   test_meta_outplace_repeat_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2414907Z   test_meta_outplace_repeat_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2415064Z   test_meta_outplace_repeat_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2415225Z   test_meta_outplace_repeat_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2415391Z   test_meta_outplace_repeat_interleave_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2415566Z   test_meta_outplace_repeat_interleave_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2415779Z   test_meta_outplace_repeat_interleave_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2415957Z   test_meta_outplace_repeat_interleave_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2416164Z   test_meta_outplace_repeat_interleave_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2416342Z   test_meta_outplace_repeat_interleave_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2416517Z   test_meta_outplace_repeat_interleave_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2416688Z   test_meta_outplace_repeat_interleave_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2416862Z   test_meta_outplace_repeat_interleave_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2417021Z   test_meta_outplace_repeat_interleave_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2417192Z   test_meta_outplace_repeat_interleave_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2417365Z   test_meta_outplace_repeat_interleave_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2417531Z   test_meta_outplace_repeat_interleave_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2417702Z   test_meta_outplace_reshape_as_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2417866Z   test_meta_outplace_reshape_as_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2418036Z   test_meta_outplace_reshape_as_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2418206Z   test_meta_outplace_reshape_as_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2418376Z   test_meta_outplace_reshape_as_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2418530Z   test_meta_outplace_reshape_as_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2418700Z   test_meta_outplace_reshape_as_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2418865Z   test_meta_outplace_reshape_as_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2419030Z   test_meta_outplace_reshape_as_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2419191Z   test_meta_outplace_reshape_as_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2419355Z   test_meta_outplace_reshape_as_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2419516Z   test_meta_outplace_reshape_as_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2419681Z   test_meta_outplace_reshape_as_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2419845Z   test_meta_outplace_reshape_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2419993Z   test_meta_outplace_reshape_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2420161Z   test_meta_outplace_reshape_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2420330Z   test_meta_outplace_reshape_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2420499Z   test_meta_outplace_reshape_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2420662Z   test_meta_outplace_reshape_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2420822Z   test_meta_outplace_reshape_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2421009Z   test_meta_outplace_reshape_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2421201Z   test_meta_outplace_reshape_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2421360Z   test_meta_outplace_reshape_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2421501Z   test_meta_outplace_reshape_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2421660Z   test_meta_outplace_reshape_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2421815Z   test_meta_outplace_reshape_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2421981Z   test_meta_outplace_resize__cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2422142Z   test_meta_outplace_resize__cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2422311Z   test_meta_outplace_resize__cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2422478Z   test_meta_outplace_resize__cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2422640Z   test_meta_outplace_resize__cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2422796Z   test_meta_outplace_resize__cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2422938Z   test_meta_outplace_resize__cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2423096Z   test_meta_outplace_resize__cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2423250Z   test_meta_outplace_resize__cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
2022-11-23T01:34:00.2423405Z   test_meta_outplace_resize__cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2429309Z   test_meta_outplace_resize__cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2429527Z   test_meta_outplace_resize__cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2429704Z   test_meta_outplace_resize_as__cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2429876Z   test_meta_outplace_resize_as__cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2430051Z   test_meta_outplace_resize_as__cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2430210Z   test_meta_outplace_resize_as__cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2430379Z   test_meta_outplace_resize_as__cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2430549Z   test_meta_outplace_resize_as__cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2430718Z   test_meta_outplace_resize_as__cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2430883Z   test_meta_outplace_resize_as__cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2431047Z   test_meta_outplace_resize_as__cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2431209Z   test_meta_outplace_resize_as__cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2431370Z   test_meta_outplace_resize_as__cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2431531Z   test_meta_outplace_resize_as__cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2431688Z   test_meta_outplace_resolve_conj_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2431930Z   test_meta_outplace_resolve_conj_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2432103Z   test_meta_outplace_resolve_conj_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2432308Z   test_meta_outplace_resolve_conj_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2432478Z   test_meta_outplace_resolve_conj_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2432646Z   test_meta_outplace_resolve_conj_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2432810Z   test_meta_outplace_resolve_conj_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2432976Z   test_meta_outplace_resolve_conj_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2433145Z   test_meta_outplace_resolve_conj_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2433296Z   test_meta_outplace_resolve_conj_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2433465Z   test_meta_outplace_resolve_conj_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2433626Z   test_meta_outplace_resolve_conj_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2433796Z   test_meta_outplace_resolve_neg_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2433960Z   test_meta_outplace_resolve_neg_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2434133Z   test_meta_outplace_resolve_neg_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2434305Z   test_meta_outplace_resolve_neg_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2434475Z   test_meta_outplace_resolve_neg_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2434641Z   test_meta_outplace_resolve_neg_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2434795Z   test_meta_outplace_resolve_neg_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2434963Z   test_meta_outplace_resolve_neg_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2435125Z   test_meta_outplace_resolve_neg_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2435290Z   test_meta_outplace_resolve_neg_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2435455Z   test_meta_outplace_resolve_neg_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2435619Z   test_meta_outplace_resolve_neg_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2435782Z   test_meta_outplace_resolve_neg_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2435945Z   test_meta_outplace_roll_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2436101Z   test_meta_outplace_roll_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2436250Z   test_meta_outplace_roll_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2436413Z   test_meta_outplace_roll_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2436569Z   test_meta_outplace_roll_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2436732Z   test_meta_outplace_roll_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2436933Z   test_meta_outplace_roll_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2437084Z   test_meta_outplace_roll_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2437537Z   test_meta_outplace_roll_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2437700Z   test_meta_outplace_roll_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2437855Z   test_meta_outplace_roll_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2437998Z   test_meta_outplace_roll_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2438153Z   test_meta_outplace_roll_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2438314Z   test_meta_outplace_rot90_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2438471Z   test_meta_outplace_rot90_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2438637Z   test_meta_outplace_rot90_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2438801Z   test_meta_outplace_rot90_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2438960Z   test_meta_outplace_rot90_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2439115Z   test_meta_outplace_rot90_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2439270Z   test_meta_outplace_rot90_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2439414Z   test_meta_outplace_rot90_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2439571Z   test_meta_outplace_rot90_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2439730Z   test_meta_outplace_rot90_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2439885Z   test_meta_outplace_rot90_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2440042Z   test_meta_outplace_rot90_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2440207Z   test_meta_outplace_round_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2440365Z   test_meta_outplace_round_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2440519Z   test_meta_outplace_round_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2440662Z   test_meta_outplace_round_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2440818Z   test_meta_outplace_round_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2440973Z   test_meta_outplace_round_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2441146Z   test_meta_outplace_round_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2441303Z   test_meta_outplace_round_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2441478Z   test_meta_outplace_round_decimals_0_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2441653Z   test_meta_outplace_round_decimals_0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2441827Z   test_meta_outplace_round_decimals_0_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2442000Z   test_meta_outplace_round_decimals_3_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2442161Z   test_meta_outplace_round_decimals_3_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2442369Z   test_meta_outplace_round_decimals_3_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2442548Z   test_meta_outplace_round_decimals_neg_3_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2442756Z   test_meta_outplace_round_decimals_neg_3_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2442927Z   test_meta_outplace_round_decimals_neg_3_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2443090Z   test_meta_outplace_rsqrt_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2443246Z   test_meta_outplace_rsqrt_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2443410Z   test_meta_outplace_rsqrt_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2443575Z   test_meta_outplace_rsqrt_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2443736Z   test_meta_outplace_rsqrt_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2443883Z   test_meta_outplace_rsqrt_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2444038Z   test_meta_outplace_rsqrt_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2444193Z   test_meta_outplace_rsqrt_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2444351Z   test_meta_outplace_rsqrt_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2444507Z   test_meta_outplace_rsqrt_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2444661Z   test_meta_outplace_rsqrt_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2444820Z   test_meta_outplace_rsub_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2444985Z   test_meta_outplace_rsub_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2445135Z   test_meta_outplace_rsub_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2445295Z   test_meta_outplace_rsub_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2445451Z   test_meta_outplace_rsub_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2445601Z   test_meta_outplace_rsub_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2445758Z   test_meta_outplace_rsub_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2445914Z   test_meta_outplace_rsub_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2446067Z   test_meta_outplace_rsub_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2446225Z   test_meta_outplace_rsub_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2446382Z   test_meta_outplace_rsub_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2446542Z   test_meta_outplace_scalar_tensor_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2446710Z   test_meta_outplace_scalar_tensor_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2446883Z   test_meta_outplace_scalar_tensor_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2447057Z   test_meta_outplace_scalar_tensor_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2447229Z   test_meta_outplace_scalar_tensor_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2447430Z   test_meta_outplace_scalar_tensor_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2447599Z   test_meta_outplace_scalar_tensor_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2447796Z   test_meta_outplace_scalar_tensor_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2447967Z   test_meta_outplace_scalar_tensor_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2448120Z   test_meta_outplace_scalar_tensor_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2448288Z   test_meta_outplace_scalar_tensor_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2448455Z   test_meta_outplace_scalar_tensor_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2448620Z   test_meta_outplace_scalar_tensor_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2448795Z   test_meta_outplace_scatter_add_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2448964Z   test_meta_outplace_scatter_add_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2449136Z   test_meta_outplace_scatter_add_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2449307Z   test_meta_outplace_scatter_add_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2449472Z   test_meta_outplace_scatter_add_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2449625Z   test_meta_outplace_scatter_add_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2449790Z   test_meta_outplace_scatter_add_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2449957Z   test_meta_outplace_scatter_add_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2450122Z   test_meta_outplace_scatter_add_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2450291Z   test_meta_outplace_scatter_add_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2450457Z   test_meta_outplace_scatter_add_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2450619Z   test_meta_outplace_scatter_add_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2450784Z   test_meta_outplace_scatter_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2450942Z   test_meta_outplace_scatter_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2451096Z   test_meta_outplace_scatter_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2451265Z   test_meta_outplace_scatter_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2451427Z   test_meta_outplace_scatter_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2451590Z   test_meta_outplace_scatter_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2451747Z   test_meta_outplace_scatter_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2451905Z   test_meta_outplace_scatter_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2452058Z   test_meta_outplace_scatter_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2452211Z   test_meta_outplace_scatter_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2452370Z   test_meta_outplace_scatter_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2452578Z   test_meta_outplace_scatter_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2452756Z   test_meta_outplace_scatter_reduce_amax_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2452953Z   test_meta_outplace_scatter_reduce_amax_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2453132Z   test_meta_outplace_scatter_reduce_amax_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2453311Z   test_meta_outplace_scatter_reduce_amax_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2453488Z   test_meta_outplace_scatter_reduce_amax_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2453661Z   test_meta_outplace_scatter_reduce_amax_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2453839Z   test_meta_outplace_scatter_reduce_amax_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2454010Z   test_meta_outplace_scatter_reduce_amax_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2454174Z   test_meta_outplace_scatter_reduce_amax_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2454344Z   test_meta_outplace_scatter_reduce_amax_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2454523Z   test_meta_outplace_scatter_reduce_amin_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2454697Z   test_meta_outplace_scatter_reduce_amin_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2454873Z   test_meta_outplace_scatter_reduce_amin_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2455048Z   test_meta_outplace_scatter_reduce_amin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2455224Z   test_meta_outplace_scatter_reduce_amin_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2455398Z   test_meta_outplace_scatter_reduce_amin_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2455569Z   test_meta_outplace_scatter_reduce_amin_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2455741Z   test_meta_outplace_scatter_reduce_amin_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2455900Z   test_meta_outplace_scatter_reduce_amin_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2456071Z   test_meta_outplace_scatter_reduce_amin_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2456250Z   test_meta_outplace_scatter_reduce_mean_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2456426Z   test_meta_outplace_scatter_reduce_mean_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2456603Z   test_meta_outplace_scatter_reduce_mean_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2456777Z   test_meta_outplace_scatter_reduce_mean_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2456948Z   test_meta_outplace_scatter_reduce_mean_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
2022-11-23T01:34:00.2457119Z   test_meta_outplace_scatter_reduce_mean_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2457291Z   test_meta_outplace_scatter_reduce_mean_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2457449Z   test_meta_outplace_scatter_reduce_mean_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2457651Z   test_meta_outplace_scatter_reduce_mean_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2457828Z   test_meta_outplace_scatter_reduce_prod_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2458026Z   test_meta_outplace_scatter_reduce_prod_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2458201Z   test_meta_outplace_scatter_reduce_prod_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2458377Z   test_meta_outplace_scatter_reduce_prod_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2458720Z   test_meta_outplace_scatter_reduce_prod_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2459572Z   test_meta_outplace_scatter_reduce_sum_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2459745Z   test_meta_outplace_scatter_reduce_sum_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2460265Z   test_meta_outplace_scatter_reduce_sum_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2461279Z   test_meta_outplace_searchsorted_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2462827Z   test_meta_outplace_segment_reduce_lengths_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2463575Z   test_meta_outplace_segment_reduce_offsets_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2464239Z   test_meta_outplace_select_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2466424Z   test_meta_outplace_select_scatter_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2468148Z   test_meta_outplace_sgn_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2470169Z   test_meta_outplace_short_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2470329Z   test_meta_outplace_short_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2470496Z   test_meta_outplace_short_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2470819Z   test_meta_outplace_short_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2472060Z   test_meta_outplace_sigmoid_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2473403Z   test_meta_outplace_sigmoid_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2473866Z   test_meta_outplace_sign_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2474170Z   test_meta_outplace_sign_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2475428Z   test_meta_outplace_signal_windows_cosine_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2476133Z   test_meta_outplace_signal_windows_exponential_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2476874Z   test_meta_outplace_signal_windows_gaussian_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2477762Z   test_meta_outplace_signal_windows_kaiser_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2478161Z   test_meta_outplace_signal_windows_kaiser_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2478530Z   test_meta_outplace_signbit_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2480097Z   test_meta_outplace_sin_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2480404Z   test_meta_outplace_sin_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2480723Z   test_meta_outplace_sin_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2493906Z   test_meta_outplace_special_airy_ai_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2506077Z   test_meta_outplace_special_chebyshev_polynomial_v_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
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2022-11-23T01:34:00.2506733Z   test_meta_outplace_special_chebyshev_polynomial_w_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
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2022-11-23T01:34:00.2507406Z   test_meta_outplace_special_chebyshev_polynomial_w_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2507743Z   test_meta_outplace_special_chebyshev_polynomial_w_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
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2022-11-23T01:34:00.2521165Z   test_meta_outplace_special_legendre_polynomial_p_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
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2022-11-23T01:34:00.2522165Z   test_meta_outplace_special_legendre_polynomial_p_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
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2022-11-23T01:34:00.2523675Z   test_meta_outplace_special_log_ndtr_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2533734Z   test_meta_outplace_special_polygamma_special_polygamma_n_0_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2533931Z   test_meta_outplace_special_polygamma_special_polygamma_n_0_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2534133Z   test_meta_outplace_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2534326Z   test_meta_outplace_special_polygamma_special_polygamma_n_0_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2534520Z   test_meta_outplace_special_polygamma_special_polygamma_n_0_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2534697Z   test_meta_outplace_special_polygamma_special_polygamma_n_0_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2534883Z   test_meta_outplace_special_polygamma_special_polygamma_n_0_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2535074Z   test_meta_outplace_special_polygamma_special_polygamma_n_0_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2535265Z   test_meta_outplace_special_polygamma_special_polygamma_n_0_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2535458Z   test_meta_outplace_special_scaled_modified_bessel_k0_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2536814Z   test_meta_outplace_special_scaled_modified_bessel_k0_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2537381Z   test_meta_outplace_special_scaled_modified_bessel_k1_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2538112Z   test_meta_outplace_special_scaled_modified_bessel_k1_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2538292Z   test_meta_outplace_special_scaled_modified_bessel_k1_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2538643Z   test_meta_outplace_special_shifted_chebyshev_polynomial_t_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2539000Z   test_meta_outplace_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2539353Z   test_meta_outplace_special_shifted_chebyshev_polynomial_t_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2539706Z   test_meta_outplace_special_shifted_chebyshev_polynomial_t_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2540055Z   test_meta_outplace_special_shifted_chebyshev_polynomial_t_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2540397Z   test_meta_outplace_special_shifted_chebyshev_polynomial_t_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2540741Z   test_meta_outplace_special_shifted_chebyshev_polynomial_t_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2541089Z   test_meta_outplace_special_shifted_chebyshev_polynomial_t_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2541440Z   test_meta_outplace_special_shifted_chebyshev_polynomial_u_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2541787Z   test_meta_outplace_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2542132Z   test_meta_outplace_special_shifted_chebyshev_polynomial_u_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2542474Z   test_meta_outplace_special_shifted_chebyshev_polynomial_u_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2542816Z   test_meta_outplace_special_shifted_chebyshev_polynomial_u_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2543171Z   test_meta_outplace_special_shifted_chebyshev_polynomial_u_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2543542Z   test_meta_outplace_special_shifted_chebyshev_polynomial_u_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2543891Z   test_meta_outplace_special_shifted_chebyshev_polynomial_u_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2544237Z   test_meta_outplace_special_shifted_chebyshev_polynomial_v_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2544668Z   test_meta_outplace_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2545021Z   test_meta_outplace_special_shifted_chebyshev_polynomial_v_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2545365Z   test_meta_outplace_special_shifted_chebyshev_polynomial_v_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2545707Z   test_meta_outplace_special_shifted_chebyshev_polynomial_v_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2546043Z   test_meta_outplace_special_shifted_chebyshev_polynomial_v_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2546386Z   test_meta_outplace_special_shifted_chebyshev_polynomial_v_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2546736Z   test_meta_outplace_special_shifted_chebyshev_polynomial_v_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2547085Z   test_meta_outplace_special_shifted_chebyshev_polynomial_w_cpu_bool (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2547432Z   test_meta_outplace_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2547767Z   test_meta_outplace_special_shifted_chebyshev_polynomial_w_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2548109Z   test_meta_outplace_special_shifted_chebyshev_polynomial_w_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2548455Z   test_meta_outplace_special_shifted_chebyshev_polynomial_w_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2548796Z   test_meta_outplace_special_shifted_chebyshev_polynomial_w_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2549142Z   test_meta_outplace_special_shifted_chebyshev_polynomial_w_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2549488Z   test_meta_outplace_special_shifted_chebyshev_polynomial_w_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.001s)
2022-11-23T01:34:00.2549673Z   test_meta_outplace_special_spherical_bessel_j0_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2550090Z   test_meta_outplace_special_spherical_bessel_j0_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2550301Z   test_meta_outplace_special_spherical_bessel_j0_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2550486Z   test_meta_outplace_special_spherical_bessel_j0_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2550835Z   test_meta_outplace_special_spherical_bessel_j0_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2551013Z   test_meta_outplace_special_spherical_bessel_j0_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2551193Z   test_meta_outplace_special_xlog1py_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2552864Z   test_meta_outplace_special_zeta_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2554191Z   test_meta_outplace_split_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2559908Z   test_meta_outplace_split_with_sizes_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
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2022-11-23T01:34:00.2560276Z   test_meta_outplace_split_with_sizes_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2560445Z   test_meta_outplace_split_with_sizes_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2560642Z   test_meta_outplace_split_with_sizes_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2560806Z   test_meta_outplace_sqrt_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2560960Z   test_meta_outplace_sqrt_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2561124Z   test_meta_outplace_sqrt_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2561284Z   test_meta_outplace_sqrt_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2561441Z   test_meta_outplace_sqrt_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2561586Z   test_meta_outplace_sqrt_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2561742Z   test_meta_outplace_sqrt_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2561901Z   test_meta_outplace_sqrt_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2562057Z   test_meta_outplace_sqrt_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2562210Z   test_meta_outplace_sqrt_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2562364Z   test_meta_outplace_sqrt_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2562530Z   test_meta_outplace_square_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2562689Z   test_meta_outplace_square_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2562846Z   test_meta_outplace_square_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2563012Z   test_meta_outplace_square_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2563176Z   test_meta_outplace_square_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2563333Z   test_meta_outplace_square_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2563487Z   test_meta_outplace_square_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2563646Z   test_meta_outplace_square_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2563798Z   test_meta_outplace_square_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2563948Z   test_meta_outplace_square_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2564106Z   test_meta_outplace_square_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2564252Z   test_meta_outplace_square_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2564419Z   test_meta_outplace_squeeze_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2564575Z   test_meta_outplace_squeeze_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2564743Z   test_meta_outplace_squeeze_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2564911Z   test_meta_outplace_squeeze_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2565075Z   test_meta_outplace_squeeze_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2565240Z   test_meta_outplace_squeeze_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2565430Z   test_meta_outplace_squeeze_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2565615Z   test_meta_outplace_squeeze_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2565763Z   test_meta_outplace_squeeze_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2565918Z   test_meta_outplace_squeeze_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2566071Z   test_meta_outplace_squeeze_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2566229Z   test_meta_outplace_squeeze_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2566389Z   test_meta_outplace_squeeze_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2566553Z   test_meta_outplace_stack_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2566711Z   test_meta_outplace_stack_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2566878Z   test_meta_outplace_stack_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2567041Z   test_meta_outplace_stack_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2567190Z   test_meta_outplace_stack_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2567347Z   test_meta_outplace_stack_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2567503Z   test_meta_outplace_stack_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2567656Z   test_meta_outplace_stack_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2567815Z   test_meta_outplace_stack_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2567972Z   test_meta_outplace_stack_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2568130Z   test_meta_outplace_stack_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2568286Z   test_meta_outplace_stack_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2568440Z   test_meta_outplace_stack_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2568589Z   test_meta_outplace_std_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2568752Z   test_meta_outplace_std_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2568910Z   test_meta_outplace_std_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2569065Z   test_meta_outplace_std_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2569223Z   test_meta_outplace_std_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2569381Z   test_meta_outplace_std_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2569546Z   test_meta_outplace_std_mean_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2569714Z   test_meta_outplace_std_mean_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2569881Z   test_meta_outplace_std_mean_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2570034Z   test_meta_outplace_std_mean_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2570198Z   test_meta_outplace_std_mean_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2570391Z   test_meta_outplace_std_mean_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2570552Z   test_meta_outplace_stft_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2570740Z   test_meta_outplace_stft_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2570899Z   test_meta_outplace_stft_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2571054Z   test_meta_outplace_stft_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2571208Z   test_meta_outplace_sub_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2571368Z   test_meta_outplace_sub_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2571515Z   test_meta_outplace_sub_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2571673Z   test_meta_outplace_sub_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2571829Z   test_meta_outplace_sub_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2571991Z   test_meta_outplace_sub_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2572149Z   test_meta_outplace_sub_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2572304Z   test_meta_outplace_sub_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2572457Z   test_meta_outplace_sub_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2572610Z   test_meta_outplace_sub_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2572751Z   test_meta_outplace_sub_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2572906Z   test_meta_outplace_sub_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2573142Z   test_meta_outplace_sum_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2573297Z   test_meta_outplace_sum_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2573462Z   test_meta_outplace_sum_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2573621Z   test_meta_outplace_sum_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2573776Z   test_meta_outplace_sum_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2573931Z   test_meta_outplace_sum_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2574088Z   test_meta_outplace_sum_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2574230Z   test_meta_outplace_sum_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2574385Z   test_meta_outplace_sum_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2574541Z   test_meta_outplace_sum_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2574698Z   test_meta_outplace_sum_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2574849Z   test_meta_outplace_sum_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2575017Z   test_meta_outplace_sum_to_size_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2575180Z   test_meta_outplace_sum_to_size_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2575350Z   test_meta_outplace_sum_to_size_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2575546Z   test_meta_outplace_sum_to_size_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2575699Z   test_meta_outplace_sum_to_size_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2575888Z   test_meta_outplace_sum_to_size_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2576055Z   test_meta_outplace_sum_to_size_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2576219Z   test_meta_outplace_sum_to_size_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2576380Z   test_meta_outplace_sum_to_size_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2576543Z   test_meta_outplace_sum_to_size_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2576704Z   test_meta_outplace_sum_to_size_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2576867Z   test_meta_outplace_sum_to_size_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2577029Z   test_meta_outplace_svd_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2577178Z   test_meta_outplace_svd_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2577334Z   test_meta_outplace_svd_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2577491Z   test_meta_outplace_svd_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2577658Z   test_meta_outplace_svd_lowrank_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2577825Z   test_meta_outplace_svd_lowrank_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2577991Z   test_meta_outplace_symeig_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2578160Z   test_meta_outplace_symeig_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2578321Z   test_meta_outplace_symeig_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2578479Z   test_meta_outplace_symeig_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2578624Z   test_meta_outplace_t_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2578775Z   test_meta_outplace_t_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2578938Z   test_meta_outplace_t_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2579094Z   test_meta_outplace_t_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2579252Z   test_meta_outplace_t_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2579408Z   test_meta_outplace_t_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2579562Z   test_meta_outplace_t_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2579717Z   test_meta_outplace_t_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2579856Z   test_meta_outplace_t_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
2022-11-23T01:34:00.2580005Z   test_meta_outplace_t_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2580157Z   test_meta_outplace_t_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2580311Z   test_meta_outplace_t_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2580481Z   test_meta_outplace_take_along_dim_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2580680Z   test_meta_outplace_take_along_dim_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2580852Z   test_meta_outplace_take_along_dim_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2581049Z   test_meta_outplace_take_along_dim_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2581222Z   test_meta_outplace_take_along_dim_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2581378Z   test_meta_outplace_take_along_dim_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2581543Z   test_meta_outplace_take_along_dim_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2581709Z   test_meta_outplace_take_along_dim_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2581876Z   test_meta_outplace_take_along_dim_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2582038Z   test_meta_outplace_take_along_dim_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2582206Z   test_meta_outplace_take_along_dim_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2582373Z   test_meta_outplace_take_along_dim_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2582534Z   test_meta_outplace_take_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2582690Z   test_meta_outplace_take_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2582842Z   test_meta_outplace_take_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2583003Z   test_meta_outplace_take_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2583165Z   test_meta_outplace_take_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2583321Z   test_meta_outplace_take_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2583474Z   test_meta_outplace_take_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2583630Z   test_meta_outplace_take_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2583785Z   test_meta_outplace_take_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2583939Z   test_meta_outplace_take_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2584093Z   test_meta_outplace_take_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2584234Z   test_meta_outplace_take_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2584484Z   test_meta_outplace_tan_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2584642Z   test_meta_outplace_tan_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2584809Z   test_meta_outplace_tan_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2584971Z   test_meta_outplace_tan_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2585128Z   test_meta_outplace_tan_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2585286Z   test_meta_outplace_tan_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2585440Z   test_meta_outplace_tan_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2585595Z   test_meta_outplace_tan_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2585779Z   test_meta_outplace_tan_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2585934Z   test_meta_outplace_tan_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2586116Z   test_meta_outplace_tan_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2586281Z   test_meta_outplace_tanh_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2586434Z   test_meta_outplace_tanh_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2586598Z   test_meta_outplace_tanh_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2586759Z   test_meta_outplace_tanh_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2586917Z   test_meta_outplace_tanh_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2587074Z   test_meta_outplace_tanh_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2587218Z   test_meta_outplace_tanh_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2587376Z   test_meta_outplace_tanh_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2587531Z   test_meta_outplace_tanh_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2587683Z   test_meta_outplace_tanh_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2587838Z   test_meta_outplace_tanh_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2588010Z   test_meta_outplace_tensor_split_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2588176Z   test_meta_outplace_tensor_split_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2588353Z   test_meta_outplace_tensor_split_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2588512Z   test_meta_outplace_tensor_split_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2588681Z   test_meta_outplace_tensor_split_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2588848Z   test_meta_outplace_tensor_split_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2589011Z   test_meta_outplace_tensor_split_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2589177Z   test_meta_outplace_tensor_split_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2589343Z   test_meta_outplace_tensor_split_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2589506Z   test_meta_outplace_tensor_split_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2589674Z   test_meta_outplace_tensor_split_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2589837Z   test_meta_outplace_tensor_split_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2589992Z   test_meta_outplace_tensordot_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2590161Z   test_meta_outplace_tensordot_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2590329Z   test_meta_outplace_tensordot_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2590495Z   test_meta_outplace_tensordot_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2590661Z   test_meta_outplace_tensordot_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2590825Z   test_meta_outplace_tensordot_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2591015Z   test_meta_outplace_tensordot_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2591199Z   test_meta_outplace_tensordot_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2591365Z   test_meta_outplace_tensordot_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2591510Z   test_meta_outplace_tensordot_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2591670Z   test_meta_outplace_tile_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2591829Z   test_meta_outplace_tile_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2591992Z   test_meta_outplace_tile_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2592159Z   test_meta_outplace_tile_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2592318Z   test_meta_outplace_tile_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2592474Z   test_meta_outplace_tile_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2592628Z   test_meta_outplace_tile_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2592784Z   test_meta_outplace_tile_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2592928Z   test_meta_outplace_tile_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2593084Z   test_meta_outplace_tile_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2593236Z   test_meta_outplace_tile_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2593393Z   test_meta_outplace_tile_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2593541Z   test_meta_outplace_to_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped! (0.001s)
2022-11-23T01:34:00.2593686Z   test_meta_outplace_to_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped! (0.001s)
2022-11-23T01:34:00.2593840Z   test_meta_outplace_to_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped! (0.001s)
2022-11-23T01:34:00.2593988Z   test_meta_outplace_to_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped! (0.001s)
2022-11-23T01:34:00.2594135Z   test_meta_outplace_to_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped! (0.001s)
2022-11-23T01:34:00.2594268Z   test_meta_outplace_to_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped! (0.001s)
2022-11-23T01:34:00.2594413Z   test_meta_outplace_to_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped! (0.001s)
2022-11-23T01:34:00.2594558Z   test_meta_outplace_to_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped! (0.001s)
2022-11-23T01:34:00.2594698Z   test_meta_outplace_to_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped! (0.001s)
2022-11-23T01:34:00.2594834Z   test_meta_outplace_to_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped! (0.001s)
2022-11-23T01:34:00.2594976Z   test_meta_outplace_to_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped! (0.001s)
2022-11-23T01:34:00.2595114Z   test_meta_outplace_to_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped! (0.001s)
2022-11-23T01:34:00.2595280Z   test_meta_outplace_to_sparse_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2595432Z   test_meta_outplace_to_sparse_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2595606Z   test_meta_outplace_to_sparse_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2595775Z   test_meta_outplace_to_sparse_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2595941Z   test_meta_outplace_to_sparse_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2596136Z   test_meta_outplace_to_sparse_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2596327Z   test_meta_outplace_to_sparse_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2596490Z   test_meta_outplace_to_sparse_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2596648Z   test_meta_outplace_to_sparse_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2596802Z   test_meta_outplace_to_sparse_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2596951Z   test_meta_outplace_to_sparse_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2597105Z   test_meta_outplace_to_sparse_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2597582Z   test_meta_outplace_topk_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2597741Z   test_meta_outplace_topk_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2597898Z   test_meta_outplace_topk_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2598056Z   test_meta_outplace_topk_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2598214Z   test_meta_outplace_topk_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2598371Z   test_meta_outplace_topk_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2598527Z   test_meta_outplace_topk_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2598670Z   test_meta_outplace_topk_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2598838Z   test_meta_outplace_trace_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2599000Z   test_meta_outplace_trace_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2599162Z   test_meta_outplace_trace_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2599318Z   test_meta_outplace_trace_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2599476Z   test_meta_outplace_trace_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2599632Z   test_meta_outplace_trace_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2599790Z   test_meta_outplace_trace_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2599948Z   test_meta_outplace_trace_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2600092Z   test_meta_outplace_trace_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2600262Z   test_meta_outplace_transpose_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2600428Z   test_meta_outplace_transpose_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2600600Z   test_meta_outplace_transpose_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2600771Z   test_meta_outplace_transpose_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2600940Z   test_meta_outplace_transpose_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2601108Z   test_meta_outplace_transpose_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2601270Z   test_meta_outplace_transpose_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2601499Z   test_meta_outplace_transpose_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2601651Z   test_meta_outplace_transpose_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2601852Z   test_meta_outplace_transpose_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2602010Z   test_meta_outplace_transpose_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2602174Z   test_meta_outplace_transpose_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2602333Z   test_meta_outplace_transpose_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2602500Z   test_meta_outplace_trapezoid_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2602674Z   test_meta_outplace_trapezoid_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2602847Z   test_meta_outplace_trapezoid_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2603017Z   test_meta_outplace_trapezoid_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2603173Z   test_meta_outplace_trapezoid_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2603337Z   test_meta_outplace_trapezoid_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2603502Z   test_meta_outplace_trapezoid_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2603660Z   test_meta_outplace_trapezoid_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2603816Z   test_meta_outplace_trapezoid_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2603979Z   test_meta_outplace_trapezoid_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2604138Z   test_meta_outplace_trapezoid_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2604300Z   test_meta_outplace_trapz_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2604453Z   test_meta_outplace_trapz_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2604616Z   test_meta_outplace_trapz_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2604778Z   test_meta_outplace_trapz_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2604935Z   test_meta_outplace_trapz_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2605090Z   test_meta_outplace_trapz_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2605250Z   test_meta_outplace_trapz_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2605407Z   test_meta_outplace_trapz_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2605566Z   test_meta_outplace_trapz_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2605723Z   test_meta_outplace_trapz_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2605865Z   test_meta_outplace_trapz_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2606046Z   test_meta_outplace_triangular_solve_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2606225Z   test_meta_outplace_triangular_solve_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2606399Z   test_meta_outplace_triangular_solve_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2606605Z   test_meta_outplace_triangular_solve_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2606766Z   test_meta_outplace_tril_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2606948Z   test_meta_outplace_tril_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2607114Z   test_meta_outplace_tril_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2607277Z   test_meta_outplace_tril_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
2022-11-23T01:34:00.2607423Z   test_meta_outplace_tril_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2607577Z   test_meta_outplace_tril_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2607728Z   test_meta_outplace_tril_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2607888Z   test_meta_outplace_tril_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2608044Z   test_meta_outplace_tril_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2608202Z   test_meta_outplace_tril_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2608355Z   test_meta_outplace_tril_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2608509Z   test_meta_outplace_tril_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2608675Z   test_meta_outplace_tril_indices_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2608827Z   test_meta_outplace_tril_indices_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2608986Z   test_meta_outplace_triu_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2609141Z   test_meta_outplace_triu_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2609305Z   test_meta_outplace_triu_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2609470Z   test_meta_outplace_triu_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2609626Z   test_meta_outplace_triu_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2609779Z   test_meta_outplace_triu_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2609929Z   test_meta_outplace_triu_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2610082Z   test_meta_outplace_triu_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2610226Z   test_meta_outplace_triu_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2610385Z   test_meta_outplace_triu_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2610537Z   test_meta_outplace_triu_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2610695Z   test_meta_outplace_triu_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2610860Z   test_meta_outplace_triu_indices_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2611024Z   test_meta_outplace_triu_indices_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2611193Z   test_meta_outplace_true_divide_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2611357Z   test_meta_outplace_true_divide_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2611530Z   test_meta_outplace_true_divide_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2611718Z   test_meta_outplace_true_divide_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2611885Z   test_meta_outplace_true_divide_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2612077Z   test_meta_outplace_true_divide_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2612247Z   test_meta_outplace_true_divide_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2612410Z   test_meta_outplace_true_divide_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2612573Z   test_meta_outplace_true_divide_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2612736Z   test_meta_outplace_true_divide_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2612903Z   test_meta_outplace_true_divide_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2613067Z   test_meta_outplace_true_divide_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2613219Z   test_meta_outplace_trunc_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2613379Z   test_meta_outplace_trunc_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2613536Z   test_meta_outplace_trunc_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2613692Z   test_meta_outplace_trunc_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2613847Z   test_meta_outplace_trunc_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2614004Z   test_meta_outplace_trunc_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2614163Z   test_meta_outplace_trunc_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2614317Z   test_meta_outplace_trunc_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2614481Z   test_meta_outplace_unbind_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2614625Z   test_meta_outplace_unbind_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2614791Z   test_meta_outplace_unbind_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2614955Z   test_meta_outplace_unbind_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2615122Z   test_meta_outplace_unbind_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2615285Z   test_meta_outplace_unbind_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2615445Z   test_meta_outplace_unbind_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2615601Z   test_meta_outplace_unbind_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2615761Z   test_meta_outplace_unbind_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2615903Z   test_meta_outplace_unbind_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2616056Z   test_meta_outplace_unbind_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2616213Z   test_meta_outplace_unbind_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2616371Z   test_meta_outplace_unbind_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2616539Z   test_meta_outplace_unflatten_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2616758Z   test_meta_outplace_unflatten_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2616927Z   test_meta_outplace_unflatten_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2617129Z   test_meta_outplace_unflatten_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2617298Z   test_meta_outplace_unflatten_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2617452Z   test_meta_outplace_unflatten_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2617618Z   test_meta_outplace_unflatten_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2617783Z   test_meta_outplace_unflatten_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2617946Z   test_meta_outplace_unflatten_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2618107Z   test_meta_outplace_unflatten_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2618267Z   test_meta_outplace_unflatten_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2618433Z   test_meta_outplace_unflatten_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2618589Z   test_meta_outplace_unflatten_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2618760Z   test_meta_outplace_unfold_copy_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2618911Z   test_meta_outplace_unfold_copy_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2619083Z   test_meta_outplace_unfold_copy_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2619253Z   test_meta_outplace_unfold_copy_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2619427Z   test_meta_outplace_unfold_copy_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2619597Z   test_meta_outplace_unfold_copy_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2619764Z   test_meta_outplace_unfold_copy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2619930Z   test_meta_outplace_unfold_copy_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2620093Z   test_meta_outplace_unfold_copy_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2620256Z   test_meta_outplace_unfold_copy_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2620407Z   test_meta_outplace_unfold_copy_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2620573Z   test_meta_outplace_unfold_copy_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2620735Z   test_meta_outplace_unfold_copy_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2620902Z   test_meta_outplace_unfold_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2621059Z   test_meta_outplace_unfold_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2621221Z   test_meta_outplace_unfold_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2621386Z   test_meta_outplace_unfold_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2621549Z   test_meta_outplace_unfold_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2621710Z   test_meta_outplace_unfold_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2621894Z   test_meta_outplace_unfold_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2622048Z   test_meta_outplace_unfold_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2622231Z   test_meta_outplace_unfold_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2622389Z   test_meta_outplace_unfold_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2622540Z   test_meta_outplace_unfold_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2622695Z   test_meta_outplace_unfold_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2622855Z   test_meta_outplace_unfold_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2623017Z   test_meta_outplace_uniform_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2623186Z   test_meta_outplace_uniform_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2623336Z   test_meta_outplace_uniform_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2623500Z   test_meta_outplace_uniform_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2623660Z   test_meta_outplace_uniform_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2623820Z   test_meta_outplace_uniform_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2623998Z   test_meta_outplace_unique_consecutive_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2624171Z   test_meta_outplace_unique_consecutive_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2624349Z   test_meta_outplace_unique_consecutive_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2624606Z   test_meta_outplace_unique_consecutive_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2624783Z   test_meta_outplace_unique_consecutive_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2624943Z   test_meta_outplace_unique_consecutive_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2625116Z   test_meta_outplace_unique_consecutive_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2625288Z   test_meta_outplace_unique_consecutive_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2625459Z   test_meta_outplace_unique_consecutive_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2625625Z   test_meta_outplace_unique_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2625786Z   test_meta_outplace_unique_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2625949Z   test_meta_outplace_unique_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2626109Z   test_meta_outplace_unique_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2626268Z   test_meta_outplace_unique_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2626409Z   test_meta_outplace_unique_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2626560Z   test_meta_outplace_unique_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2626717Z   test_meta_outplace_unique_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2626876Z   test_meta_outplace_unique_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2627079Z   test_meta_outplace_unsqueeze_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2627241Z   test_meta_outplace_unsqueeze_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2627439Z   test_meta_outplace_unsqueeze_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2627610Z   test_meta_outplace_unsqueeze_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2627778Z   test_meta_outplace_unsqueeze_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2627931Z   test_meta_outplace_unsqueeze_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2628095Z   test_meta_outplace_unsqueeze_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2628260Z   test_meta_outplace_unsqueeze_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2628423Z   test_meta_outplace_unsqueeze_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2628586Z   test_meta_outplace_unsqueeze_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2628742Z   test_meta_outplace_unsqueeze_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2628905Z   test_meta_outplace_unsqueeze_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2629060Z   test_meta_outplace_unsqueeze_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2629219Z   test_meta_outplace_var_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2629366Z   test_meta_outplace_var_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2629526Z   test_meta_outplace_var_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2629684Z   test_meta_outplace_var_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2629842Z   test_meta_outplace_var_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2630000Z   test_meta_outplace_var_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2630165Z   test_meta_outplace_var_mean_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2630334Z   test_meta_outplace_var_mean_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2630501Z   test_meta_outplace_var_mean_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2630663Z   test_meta_outplace_var_mean_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2630816Z   test_meta_outplace_var_mean_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2630980Z   test_meta_outplace_var_mean_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2631143Z   test_meta_outplace_vdot_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2631308Z   test_meta_outplace_vdot_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2631470Z   test_meta_outplace_vdot_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2631628Z   test_meta_outplace_vdot_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2631782Z   test_meta_outplace_vdot_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2631938Z   test_meta_outplace_vdot_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2632125Z   test_meta_outplace_vdot_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2632269Z   test_meta_outplace_vdot_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2632450Z   test_meta_outplace_vdot_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2632608Z   test_meta_outplace_vdot_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2632781Z   test_meta_outplace_view_as_complex_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2632950Z   test_meta_outplace_view_as_complex_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2633117Z   test_meta_outplace_view_as_complex_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2633280Z   test_meta_outplace_view_as_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2633443Z   test_meta_outplace_view_as_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2633609Z   test_meta_outplace_view_as_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2633763Z   test_meta_outplace_view_as_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2633929Z   test_meta_outplace_view_as_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2634088Z   test_meta_outplace_view_as_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2634245Z   test_meta_outplace_view_as_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2634402Z   test_meta_outplace_view_as_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2634560Z   test_meta_outplace_view_as_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.004s)
2022-11-23T01:34:00.2634716Z   test_meta_outplace_view_as_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2634866Z   test_meta_outplace_view_as_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2635026Z   test_meta_outplace_view_as_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2635165Z   test_meta_outplace_view_as_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2635336Z   test_meta_outplace_view_as_real_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2635506Z   test_meta_outplace_view_as_real_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2635670Z   test_meta_outplace_view_copy_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2635837Z   test_meta_outplace_view_copy_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2636000Z   test_meta_outplace_view_copy_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2636166Z   test_meta_outplace_view_copy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2636329Z   test_meta_outplace_view_copy_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2636488Z   test_meta_outplace_view_copy_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2636631Z   test_meta_outplace_view_copy_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2636785Z   test_meta_outplace_view_copy_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2636945Z   test_meta_outplace_view_copy_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2637277Z   test_meta_outplace_view_copy_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2637484Z   test_meta_outplace_view_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2637689Z   test_meta_outplace_view_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2637854Z   test_meta_outplace_view_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2638015Z   test_meta_outplace_view_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2638162Z   test_meta_outplace_view_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2638320Z   test_meta_outplace_view_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2638474Z   test_meta_outplace_view_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2638630Z   test_meta_outplace_view_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2638787Z   test_meta_outplace_view_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2638947Z   test_meta_outplace_view_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2639103Z   test_meta_outplace_view_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2639257Z   test_meta_outplace_view_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2639411Z   test_meta_outplace_view_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2639562Z   test_meta_outplace_vsplit_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2639721Z   test_meta_outplace_vsplit_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2639888Z   test_meta_outplace_vsplit_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2640053Z   test_meta_outplace_vsplit_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2640223Z   test_meta_outplace_vsplit_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2640384Z   test_meta_outplace_vsplit_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2640541Z   test_meta_outplace_vsplit_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2640695Z   test_meta_outplace_vsplit_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2640853Z   test_meta_outplace_vsplit_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2640996Z   test_meta_outplace_vsplit_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2641148Z   test_meta_outplace_vsplit_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2641305Z   test_meta_outplace_vsplit_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2641465Z   test_meta_outplace_vsplit_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2641630Z   test_meta_outplace_vstack_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2641788Z   test_meta_outplace_vstack_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2641956Z   test_meta_outplace_vstack_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2642120Z   test_meta_outplace_vstack_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2642284Z   test_meta_outplace_vstack_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2642470Z   test_meta_outplace_vstack_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2642627Z   test_meta_outplace_vstack_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2642811Z   test_meta_outplace_vstack_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2642972Z   test_meta_outplace_vstack_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2643127Z   test_meta_outplace_vstack_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2643279Z   test_meta_outplace_vstack_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2643432Z   test_meta_outplace_vstack_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2643590Z   test_meta_outplace_vstack_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2643752Z   test_meta_outplace_where_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2643897Z   test_meta_outplace_where_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2644062Z   test_meta_outplace_where_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2644225Z   test_meta_outplace_where_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2644386Z   test_meta_outplace_where_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2644546Z   test_meta_outplace_where_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2644702Z   test_meta_outplace_where_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2644857Z   test_meta_outplace_where_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2645014Z   test_meta_outplace_where_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2645169Z   test_meta_outplace_where_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2645314Z   test_meta_outplace_where_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2645471Z   test_meta_outplace_where_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2645625Z   test_meta_outplace_where_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2645789Z   test_meta_outplace_xlogy_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2645947Z   test_meta_outplace_xlogy_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2646107Z   test_meta_outplace_xlogy_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2646266Z   test_meta_outplace_xlogy_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2646419Z   test_meta_outplace_xlogy_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2646563Z   test_meta_outplace_xlogy_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2646720Z   test_meta_outplace_xlogy_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2646873Z   test_meta_outplace_xlogy_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2647028Z   test_meta_outplace_xlogy_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2647184Z   test_meta_outplace_xlogy_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2647344Z   test_meta_outplace_zero__cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2647527Z   test_meta_outplace_zero__cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2647690Z   test_meta_outplace_zero__cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2647878Z   test_meta_outplace_zero__cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2648025Z   test_meta_outplace_zero__cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2648180Z   test_meta_outplace_zero__cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2648334Z   test_meta_outplace_zero__cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2648489Z   test_meta_outplace_zero__cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2648642Z   test_meta_outplace_zero__cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2648798Z   test_meta_outplace_zero__cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2648953Z   test_meta_outplace_zero__cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2649109Z   test_meta_outplace_zero__cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2649271Z   test_meta_outplace_zeros_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2649414Z   test_meta_outplace_zeros_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2649579Z   test_meta_outplace_zeros_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2649742Z   test_meta_outplace_zeros_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2649902Z   test_meta_outplace_zeros_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2650064Z   test_meta_outplace_zeros_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2650219Z   test_meta_outplace_zeros_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2650374Z   test_meta_outplace_zeros_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2650527Z   test_meta_outplace_zeros_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2650682Z   test_meta_outplace_zeros_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2650823Z   test_meta_outplace_zeros_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2650979Z   test_meta_outplace_zeros_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2651132Z   test_meta_outplace_zeros_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2651302Z   test_meta_outplace_zeros_like_cpu_bfloat16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2651462Z   test_meta_outplace_zeros_like_cpu_bool (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2651636Z   test_meta_outplace_zeros_like_cpu_complex128 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2651804Z   test_meta_outplace_zeros_like_cpu_complex32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2651972Z   test_meta_outplace_zeros_like_cpu_complex64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2652138Z   test_meta_outplace_zeros_like_cpu_float16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2652289Z   test_meta_outplace_zeros_like_cpu_float32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2652485Z   test_meta_outplace_zeros_like_cpu_float64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2652647Z   test_meta_outplace_zeros_like_cpu_int16 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2652838Z   test_meta_outplace_zeros_like_cpu_int32 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2653001Z   test_meta_outplace_zeros_like_cpu_int64 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2653161Z   test_meta_outplace_zeros_like_cpu_int8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2653324Z   test_meta_outplace_zeros_like_cpu_uint8 (__main__.TestMetaCPU) ... skip: Skipped under ASAN (0.001s)
2022-11-23T01:34:00.2653453Z   test_channels_last (__main__.TestMetaConverter) ... ok (0.002s)
2022-11-23T01:34:00.2653573Z   test_channels_last_leaf (__main__.TestMetaConverter) ... ok (0.002s)
2022-11-23T01:34:00.2653709Z   test_channels_last_non_leaf (__main__.TestMetaConverter) ... ok (0.004s)
2022-11-23T01:34:00.2654317Z   test_complex_noncontiguous_bug (__main__.TestMetaConverter) ... test_meta.py:232: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.)
2022-11-23T01:34:00.2654441Z   x = torch.randn((2, 2, 4, 9), dtype=torch.complex32)[:, 0, :, :]
2022-11-23T01:34:00.2654510Z ok (0.003s)
2022-11-23T01:34:00.2654653Z   test_empty_strided_non_dense_leaf (__main__.TestMetaConverter) ... ok (0.002s)
2022-11-23T01:34:00.2654769Z   test_imag (__main__.TestMetaConverter) ... ok (0.003s)
2022-11-23T01:34:00.2654882Z   test_leaf (__main__.TestMetaConverter) ... ok (0.002s)
2022-11-23T01:34:00.2655001Z   test_non_leaf (__main__.TestMetaConverter) ... ok (0.002s)
2022-11-23T01:34:00.2655567Z   test_non_leaf_torture (__main__.TestMetaConverter) ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T01:34:00.2655668Z   warnings.warn(message, UserWarning)
2022-11-23T01:34:00.2655734Z ok (0.002s)
2022-11-23T01:34:00.2655870Z   test_requires_grad_false (__main__.TestMetaConverter) ... ok (0.002s)
2022-11-23T01:34:00.2656012Z   test_tensor_outlives_converter (__main__.TestMetaConverter) ... ok (0.001s)
2022-11-23T01:34:00.2656141Z   test_view_as_complex (__main__.TestMetaConverter) ... ok (0.002s)
2022-11-23T01:34:00.2656263Z   test_view_as_real (__main__.TestMetaConverter) ... ok (0.002s)
2022-11-23T01:34:00.2656386Z   test_view_dtype (__main__.TestMetaConverter) ... ok (0.002s)
2022-11-23T01:34:00.2656495Z   test_view_of_leaf (__main__.TestMetaConverter) ... ok (0.005s)
2022-11-23T01:34:00.2656622Z   test_view_of_non_leaf (__main__.TestMetaConverter) ... ok (0.005s)
2022-11-23T01:34:00.2656751Z   test_view_of_view_of_leaf (__main__.TestMetaConverter) ... ok (0.003s)
2022-11-23T01:34:00.2656872Z   test_weakref (__main__.TestMetaConverter) ... ok (0.003s)
2022-11-23T01:34:00.2656884Z 
2022-11-23T01:34:00.2657084Z ----------------------------------------------------------------------
2022-11-23T01:34:00.2657164Z Ran 32738 tests in 17.776s
2022-11-23T01:34:00.2657170Z 
2022-11-23T01:34:00.2657245Z OK (skipped=32715)
2022-11-23T01:34:00.2657251Z 
2022-11-23T01:34:00.2657334Z Generating XML reports...
2022-11-23T01:34:00.2657584Z Generated XML report: test-reports/python-unittest/test_meta/TEST-TestMetaCPU-20221123013335.xml
2022-11-23T01:34:00.2657867Z Generated XML report: test-reports/python-unittest/test_meta/TEST-TestMetaConverter-20221123013335.xml
2022-11-23T01:34:00.2657872Z 
2022-11-23T01:34:00.2658252Z ##[endgroup]
2022-11-23T01:34:00.2658515Z FINISHED PRINTING LOG FILE of test_meta (/var/lib/jenkins/workspace/test/test-reports/test_meta_2ub81vy2)
2022-11-23T01:34:00.2658521Z 
2022-11-23T01:34:00.7878149Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:34:00.9557940Z Ignoring disabled issues:  []
2022-11-23T01:34:00.9910693Z Running nn/test_lazy_modules ... [2022-11-23 01:34:00.990681]
2022-11-23T01:34:00.9912833Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_lazy_modules.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:34:00.990987]
2022-11-23T01:34:04.6376441Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:34:04.8073412Z Ignoring disabled issues:  []
2022-11-23T01:34:04.8288879Z Running nn/test_dropout ... [2022-11-23 01:34:04.828596]
2022-11-23T01:34:04.8290986Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_dropout.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:34:04.828883]
2022-11-23T01:34:07.5624709Z 
2022-11-23T01:34:07.5625229Z Expand the folded group to see the log file of nn/test_lazy_modules
2022-11-23T01:34:07.5626263Z ##[group]PRINTING LOG FILE of nn/test_lazy_modules (/var/lib/jenkins/workspace/test/test-reports/nn-test_lazy_modules_imqs63l5)
2022-11-23T01:34:07.5627211Z Test results will be stored in test-reports/python-unittest/nn.test_lazy_modules
2022-11-23T01:34:07.5627406Z 
2022-11-23T01:34:07.5627479Z Running tests...
2022-11-23T01:34:07.5627808Z ----------------------------------------------------------------------
2022-11-23T01:34:07.5628145Z   test_chained_initialization (__main__.TestLazyModules) ... ok (0.045s)
2022-11-23T01:34:07.5628434Z   test_invalid_functions (__main__.TestLazyModules) ... ok (0.002s)
2022-11-23T01:34:07.5629540Z   test_lazy_batchnorm1d (__main__.TestLazyModules) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:34:07.5630089Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:34:07.5630323Z ok (0.034s)
2022-11-23T01:34:07.5630556Z   test_lazy_batchnorm1d_pickle (__main__.TestLazyModules) ... ok (0.036s)
2022-11-23T01:34:07.5630841Z   test_lazy_batchnorm1d_state (__main__.TestLazyModules) ... ok (0.006s)
2022-11-23T01:34:07.5631125Z   test_lazy_batchnorm2d (__main__.TestLazyModules) ... ok (0.019s)
2022-11-23T01:34:07.5631409Z   test_lazy_batchnorm2d_pickle (__main__.TestLazyModules) ... ok (0.009s)
2022-11-23T01:34:07.5631706Z   test_lazy_batchnorm2d_state (__main__.TestLazyModules) ... ok (0.005s)
2022-11-23T01:34:07.5631979Z   test_lazy_batchnorm3d (__main__.TestLazyModules) ... ok (0.047s)
2022-11-23T01:34:07.5632264Z   test_lazy_batchnorm3d_pickle (__main__.TestLazyModules) ... ok (0.011s)
2022-11-23T01:34:07.5632553Z   test_lazy_batchnorm3d_state (__main__.TestLazyModules) ... ok (0.005s)
2022-11-23T01:34:07.5632814Z   test_lazy_conv1d (__main__.TestLazyModules) ... ok (0.032s)
2022-11-23T01:34:07.5633082Z   test_lazy_conv1d_pickle (__main__.TestLazyModules) ... ok (0.008s)
2022-11-23T01:34:07.5633358Z   test_lazy_conv1d_state (__main__.TestLazyModules) ... ok (0.003s)
2022-11-23T01:34:07.5633628Z   test_lazy_conv2d (__main__.TestLazyModules) ... ok (0.007s)
2022-11-23T01:34:07.5633884Z   test_lazy_conv2d_pickle (__main__.TestLazyModules) ... ok (0.005s)
2022-11-23T01:34:07.5634163Z   test_lazy_conv2d_state (__main__.TestLazyModules) ... ok (0.003s)
2022-11-23T01:34:07.5634433Z   test_lazy_conv3d (__main__.TestLazyModules) ... ok (0.077s)
2022-11-23T01:34:07.5634729Z   test_lazy_conv3d_pickle (__main__.TestLazyModules) ... ok (0.026s)
2022-11-23T01:34:07.5634992Z   test_lazy_conv3d_state (__main__.TestLazyModules) ... ok (0.003s)
2022-11-23T01:34:07.5635284Z   test_lazy_conv_transpose1d_pickle (__main__.TestLazyModules) ... ok (0.016s)
2022-11-23T01:34:07.5635587Z   test_lazy_conv_transpose1d_state (__main__.TestLazyModules) ... ok (0.003s)
2022-11-23T01:34:07.5635868Z   test_lazy_conv_transpose2d (__main__.TestLazyModules) ... ok (0.065s)
2022-11-23T01:34:07.5636162Z   test_lazy_conv_transpose2d_pickle (__main__.TestLazyModules) ... ok (0.025s)
2022-11-23T01:34:07.5636645Z   test_lazy_conv_transpose2d_state (__main__.TestLazyModules) ... ok (0.003s)
2022-11-23T01:34:07.5636923Z   test_lazy_conv_transpose3d (__main__.TestLazyModules) ... ok (0.735s)
2022-11-23T01:34:07.5637463Z   test_lazy_conv_transpose3d_pickle (__main__.TestLazyModules) ... ok (0.236s)
2022-11-23T01:34:07.5637949Z   test_lazy_conv_transpose3d_state (__main__.TestLazyModules) ... ok (0.003s)
2022-11-23T01:34:07.5638329Z   test_lazy_conv_transposed1d (__main__.TestLazyModules) ... ok (0.041s)
2022-11-23T01:34:07.5638673Z   test_lazy_forward_hook (__main__.TestLazyModules)
2022-11-23T01:34:07.5639700Z This test is to test whether lazymodule can register other forward hook ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:34:07.5640585Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:34:07.5640943Z ok (0.003s)
2022-11-23T01:34:07.5641286Z   test_lazy_instancenorm1d (__main__.TestLazyModules) ... ok (0.018s)
2022-11-23T01:34:07.5641758Z   test_lazy_instancenorm1d_pickle (__main__.TestLazyModules) ... ok (0.012s)
2022-11-23T01:34:07.5642227Z   test_lazy_instancenorm1d_state (__main__.TestLazyModules) ... ok (0.008s)
2022-11-23T01:34:07.5642705Z   test_lazy_instancenorm2d (__main__.TestLazyModules) ... ok (0.020s)
2022-11-23T01:34:07.5643199Z   test_lazy_instancenorm2d_pickle (__main__.TestLazyModules) ... ok (0.010s)
2022-11-23T01:34:07.5643675Z   test_lazy_instancenorm2d_state (__main__.TestLazyModules) ... ok (0.008s)
2022-11-23T01:34:07.5644108Z   test_lazy_instancenorm3d (__main__.TestLazyModules) ... ok (0.047s)
2022-11-23T01:34:07.5644542Z   test_lazy_instancenorm3d_pickle (__main__.TestLazyModules) ... ok (0.011s)
2022-11-23T01:34:07.5645012Z   test_lazy_instancenorm3d_state (__main__.TestLazyModules) ... ok (0.009s)
2022-11-23T01:34:07.5645477Z   test_lazy_linear_pickle (__main__.TestLazyModules) ... ok (0.003s)
2022-11-23T01:34:07.5645934Z   test_lazy_module_buffer (__main__.TestLazyModules) ... ok (0.003s)
2022-11-23T01:34:07.5646401Z   test_lazy_module_jit_buffer (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:34:07.5646879Z   test_lazy_module_jit_param (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:34:07.5647373Z   test_lazy_module_parameter (__main__.TestLazyModules) ... ok (0.003s)
2022-11-23T01:34:07.5647815Z   test_lazy_pre_forward_hook (__main__.TestLazyModules)
2022-11-23T01:34:07.5648649Z This test is to test whether lazymodule can register other pre-forward hook ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T01:34:07.5649223Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T01:34:07.5649447Z ok (0.002s)
2022-11-23T01:34:07.5649684Z   test_lazy_share_memory_buffer (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:34:07.5649979Z   test_lazy_share_memory_param (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:34:07.5650252Z   test_linear (__main__.TestLazyModules) ... ok (0.002s)
2022-11-23T01:34:07.5650499Z   test_linear_state (__main__.TestLazyModules) ... ok (0.002s)
2022-11-23T01:34:07.5650804Z   test_materialize_device (__main__.TestLazyModules) ... skip: CUDA not available (0.001s)
2022-11-23T01:34:07.5651113Z   test_materialize_dtype (__main__.TestLazyModules) ... ok (0.002s)
2022-11-23T01:34:07.5651376Z   test_optimizer_pass (__main__.TestLazyModules) ... ok (0.014s)
2022-11-23T01:34:07.5651646Z   test_spectral_norm (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:34:07.5651915Z   test_weight_norm (__main__.TestLazyModules) ... ok (0.001s)
2022-11-23T01:34:07.5652064Z 
2022-11-23T01:34:07.5652256Z ----------------------------------------------------------------------
2022-11-23T01:34:07.5652498Z Ran 54 tests in 1.700s
2022-11-23T01:34:07.5652611Z 
2022-11-23T01:34:07.5652810Z OK (skipped=1)
2022-11-23T01:34:07.5652914Z 
2022-11-23T01:34:07.5652998Z Generating XML reports...
2022-11-23T01:34:07.5653403Z Generated XML report: test-reports/python-unittest/nn.test_lazy_modules/TEST-TestLazyModules-20221123013405.xml
2022-11-23T01:34:07.5653637Z 
2022-11-23T01:34:07.5653960Z ##[endgroup]
2022-11-23T01:34:07.5654363Z FINISHED PRINTING LOG FILE of nn/test_lazy_modules (/var/lib/jenkins/workspace/test/test-reports/nn-test_lazy_modules_imqs63l5)
2022-11-23T01:34:07.5654572Z 
2022-11-23T01:34:11.2390082Z 
2022-11-23T01:34:11.2390620Z Expand the folded group to see the log file of nn/test_dropout
2022-11-23T01:34:11.2391774Z ##[group]PRINTING LOG FILE of nn/test_dropout (/var/lib/jenkins/workspace/test/test-reports/nn-test_dropout_ka5o0r4b)
2022-11-23T01:34:11.2392726Z Test results will be stored in test-reports/python-unittest/nn.test_dropout
2022-11-23T01:34:11.2393024Z 
2022-11-23T01:34:11.2393135Z Running tests...
2022-11-23T01:34:11.2393687Z ----------------------------------------------------------------------
2022-11-23T01:34:11.2394231Z   test_AlphaDropout (__main__.TestDropoutNN) ... ok (0.011s)
2022-11-23T01:34:11.2394732Z   test_FeatureAlphaDropout (__main__.TestDropoutNN) ... ok (0.462s)
2022-11-23T01:34:11.2395188Z   test_invalid_dropout_p (__main__.TestDropoutNN) ... ok (0.002s)
2022-11-23T01:34:11.2395504Z   test_native_dropout_corner_case (__main__.TestDropoutNN) ... skip: CUDA unavailable (0.001s)
2022-11-23T01:34:11.2395834Z   test_Dropout1d_cpu (__main__.TestDropoutNNDeviceTypeCPU) ... ok (0.022s)
2022-11-23T01:34:11.2396264Z   test_Dropout2d_cpu (__main__.TestDropoutNNDeviceTypeCPU) ... ok (0.052s)
2022-11-23T01:34:11.2396648Z   test_Dropout3d_cpu (__main__.TestDropoutNNDeviceTypeCPU) ... ok (0.030s)
2022-11-23T01:34:11.2396960Z   test_Dropout_cpu (__main__.TestDropoutNNDeviceTypeCPU) ... ok (0.875s)
2022-11-23T01:34:11.2397452Z   test_empty_dropout_cpu (__main__.TestDropoutNNDeviceTypeCPU) ... ok (0.001s)
2022-11-23T01:34:11.2397631Z 
2022-11-23T01:34:11.2397847Z ----------------------------------------------------------------------
2022-11-23T01:34:11.2398090Z Ran 9 tests in 1.457s
2022-11-23T01:34:11.2398203Z 
2022-11-23T01:34:11.2398273Z OK (skipped=1)
2022-11-23T01:34:11.2398367Z 
2022-11-23T01:34:11.2398448Z Generating XML reports...
2022-11-23T01:34:11.2398864Z Generated XML report: test-reports/python-unittest/nn.test_dropout/TEST-TestDropoutNN-20221123013409.xml
2022-11-23T01:34:11.2399408Z Generated XML report: test-reports/python-unittest/nn.test_dropout/TEST-TestDropoutNNDeviceTypeCPU-20221123013409.xml
2022-11-23T01:34:11.2399672Z 
2022-11-23T01:34:11.2399899Z ##[endgroup]
2022-11-23T01:34:11.2400281Z FINISHED PRINTING LOG FILE of nn/test_dropout (/var/lib/jenkins/workspace/test/test-reports/nn-test_dropout_ka5o0r4b)
2022-11-23T01:34:11.2400492Z 
2022-11-23T01:34:12.5607350Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:34:12.7275374Z Ignoring disabled issues:  []
2022-11-23T01:34:12.7489979Z Running test_tensorboard ... [2022-11-23 01:34:12.748618]
2022-11-23T01:34:12.7491514Z Executing ['/opt/conda/bin/python', '-bb', 'test_tensorboard.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:34:12.748913]
2022-11-23T01:34:16.2483851Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:34:16.4187660Z Ignoring disabled issues:  []
2022-11-23T01:34:16.4405280Z Running dynamo/test_global ... [2022-11-23 01:34:16.440224]
2022-11-23T01:34:16.4407704Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_global.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:34:16.440523]
2022-11-23T01:34:21.6631031Z 
2022-11-23T01:34:21.6631516Z Expand the folded group to see the log file of dynamo/test_global
2022-11-23T01:34:21.6632587Z ##[group]PRINTING LOG FILE of dynamo/test_global (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_global_4d9tgoby)
2022-11-23T01:34:21.6633570Z Test results will be stored in test-reports/python-unittest/dynamo.test_global
2022-11-23T01:34:21.6634139Z 
2022-11-23T01:34:21.6634215Z Running tests...
2022-11-23T01:34:21.6634519Z ----------------------------------------------------------------------
2022-11-23T01:34:21.6634809Z   test_store_global_1 (__main__.TestGlobals) ... ok (0.452s)
2022-11-23T01:34:21.6635223Z   test_store_global_2 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:34:21.6635575Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:34:21.6635856Z frames [('total', 2), ('ok', 2)]
2022-11-23T01:34:21.6636162Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)]
2022-11-23T01:34:21.6636383Z ok (0.016s)
2022-11-23T01:34:21.6636679Z   test_store_global_cross_file (__main__.TestGlobals) ... frames [('total', 2), ('ok', 2)]
2022-11-23T01:34:21.6636925Z unimplemented []
2022-11-23T01:34:21.6637529Z graph_break [('call_function BuiltinVariable(setattr) [PythonModuleVariable(), ConstantVariable(str), TensorVariable()] {}', 1)]
2022-11-23T01:34:21.6637951Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:34:21.6638173Z ok (0.014s)
2022-11-23T01:34:21.6638470Z   test_store_global_dict (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:34:21.6638818Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:34:21.6639045Z ok (0.009s)
2022-11-23T01:34:21.6639347Z   test_store_global_dict_2 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:34:21.6639580Z inline_call []
2022-11-23T01:34:21.6639862Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:34:21.6640081Z ok (0.011s)
2022-11-23T01:34:21.6640384Z   test_store_global_inline_1 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:34:21.6640606Z inline_call []
2022-11-23T01:34:21.6640895Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:34:21.6641116Z ok (0.014s)
2022-11-23T01:34:21.6641407Z   test_store_global_inline_2 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:34:21.6641638Z inline_call []
2022-11-23T01:34:21.6641927Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:34:21.6642134Z ok (0.015s)
2022-11-23T01:34:21.6642434Z   test_store_global_list (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:34:21.6642787Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:34:21.6642998Z ok (0.009s)
2022-11-23T01:34:21.6643295Z   test_store_global_list_2 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:34:21.6643522Z inline_call []
2022-11-23T01:34:21.6643812Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:34:21.6644020Z ok (0.011s)
2022-11-23T01:34:21.6644315Z   test_store_global_new (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:34:21.6644670Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)]
2022-11-23T01:34:21.6644880Z ok (0.008s)
2022-11-23T01:34:21.6645180Z   test_store_global_object (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)]
2022-11-23T01:34:21.6645532Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:34:21.6645746Z ok (0.009s)
2022-11-23T01:34:21.6645845Z 
2022-11-23T01:34:21.6646043Z ----------------------------------------------------------------------
2022-11-23T01:34:21.6646279Z Ran 11 tests in 0.569s
2022-11-23T01:34:21.6646389Z 
2022-11-23T01:34:21.6646452Z OK
2022-11-23T01:34:21.6646528Z 
2022-11-23T01:34:21.6646609Z Generating XML reports...
2022-11-23T01:34:21.6647011Z Generated XML report: test-reports/python-unittest/dynamo.test_global/TEST-TestGlobals-20221123013420.xml
2022-11-23T01:34:21.6647236Z 
2022-11-23T01:34:21.6647497Z ##[endgroup]
2022-11-23T01:34:21.6647876Z FINISHED PRINTING LOG FILE of dynamo/test_global (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_global_4d9tgoby)
2022-11-23T01:34:21.6648181Z 
2022-11-23T01:34:26.8196886Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:34:27.0122187Z Ignoring disabled issues:  []
2022-11-23T01:34:27.0338701Z Running dynamo/test_skip_non_tensor ... [2022-11-23 01:34:27.033454]
2022-11-23T01:34:27.0339771Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_skip_non_tensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:34:27.033740]
2022-11-23T01:34:32.1535790Z 
2022-11-23T01:34:32.1536396Z Expand the folded group to see the log file of dynamo/test_skip_non_tensor
2022-11-23T01:34:32.1537555Z ##[group]PRINTING LOG FILE of dynamo/test_skip_non_tensor (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_skip_non_tensor_yrt_h6ja)
2022-11-23T01:34:32.1538176Z Test results will be stored in test-reports/python-unittest/dynamo.test_skip_non_tensor
2022-11-23T01:34:32.1538375Z 
2022-11-23T01:34:32.1538451Z Running tests...
2022-11-23T01:34:32.1538760Z ----------------------------------------------------------------------
2022-11-23T01:34:32.1539124Z   test_add_skip (__main__.SkipNonTensorTests) ... ok (0.352s)
2022-11-23T01:34:32.1539573Z   test_add_tensor1 (__main__.SkipNonTensorTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:34:32.1539912Z ok (0.130s)
2022-11-23T01:34:32.1540286Z   test_add_tensor2 (__main__.SkipNonTensorTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:34:32.1540625Z ok (0.008s)
2022-11-23T01:34:32.1541013Z   test_add_tensor_dict (__main__.SkipNonTensorTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:34:32.1541334Z ok (0.008s)
2022-11-23T01:34:32.1541718Z   test_add_tensor_list (__main__.SkipNonTensorTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)]
2022-11-23T01:34:32.1542030Z ok (0.007s)
2022-11-23T01:34:32.1542268Z   test_custom_list (__main__.SkipNonTensorTests) ... ok (0.002s)
2022-11-23T01:34:32.1542540Z   test_recursive_list (__main__.SkipNonTensorTests) ... ok (0.002s)
2022-11-23T01:34:32.1542703Z 
2022-11-23T01:34:32.1542959Z ----------------------------------------------------------------------
2022-11-23T01:34:32.1543200Z Ran 7 tests in 0.510s
2022-11-23T01:34:32.1543318Z 
2022-11-23T01:34:32.1543367Z OK
2022-11-23T01:34:32.1543458Z 
2022-11-23T01:34:32.1543580Z Generating XML reports...
2022-11-23T01:34:32.1544037Z Generated XML report: test-reports/python-unittest/dynamo.test_skip_non_tensor/TEST-SkipNonTensorTests-20221123013430.xml
2022-11-23T01:34:32.1544300Z 
2022-11-23T01:34:32.1544625Z ##[endgroup]
2022-11-23T01:34:32.1545054Z FINISHED PRINTING LOG FILE of dynamo/test_skip_non_tensor (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_skip_non_tensor_yrt_h6ja)
2022-11-23T01:34:32.1545359Z 
2022-11-23T01:34:37.1635174Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:34:37.3338684Z Ignoring disabled issues:  []
2022-11-23T01:34:37.3562313Z Running test_per_overload_api ... [2022-11-23 01:34:37.355849]
2022-11-23T01:34:37.3563668Z Executing ['/opt/conda/bin/python', '-bb', 'test_per_overload_api.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:34:37.356160]
2022-11-23T01:34:42.3201109Z 
2022-11-23T01:34:42.3201678Z Expand the folded group to see the log file of test_per_overload_api
2022-11-23T01:34:42.3202850Z ##[group]PRINTING LOG FILE of test_per_overload_api (/var/lib/jenkins/workspace/test/test-reports/test_per_overload_api_d70ger2c)
2022-11-23T01:34:42.3203791Z Test results will be stored in test-reports/python-unittest/test_per_overload_api
2022-11-23T01:34:42.3204096Z 
2022-11-23T01:34:42.3204221Z Running tests...
2022-11-23T01:34:42.3204749Z ----------------------------------------------------------------------
2022-11-23T01:34:42.3205279Z   test_basics_opoverload (__main__.TestPerOverloadAPI) ... ok (0.377s)
2022-11-23T01:34:42.3205779Z   test_basics_opoverloadpacket (__main__.TestPerOverloadAPI) ... ok (0.003s)
2022-11-23T01:34:42.3206559Z   test_decompose (__main__.TestPerOverloadAPI) ... ok (0.015s)
2022-11-23T01:34:42.3206807Z 
2022-11-23T01:34:42.3207151Z ----------------------------------------------------------------------
2022-11-23T01:34:42.3207529Z Ran 3 tests in 0.395s
2022-11-23T01:34:42.3207826Z 
2022-11-23T01:34:42.3207927Z OK
2022-11-23T01:34:42.3208073Z 
2022-11-23T01:34:42.3208207Z Generating XML reports...
2022-11-23T01:34:42.3208957Z Generated XML report: test-reports/python-unittest/test_per_overload_api/TEST-TestPerOverloadAPI-20221123013441.xml
2022-11-23T01:34:42.3209372Z 
2022-11-23T01:34:42.3209792Z ##[endgroup]
2022-11-23T01:34:42.3210479Z FINISHED PRINTING LOG FILE of test_per_overload_api (/var/lib/jenkins/workspace/test/test-reports/test_per_overload_api_d70ger2c)
2022-11-23T01:34:42.3210861Z 
2022-11-23T01:34:47.2749629Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:34:47.4444385Z Ignoring disabled issues:  []
2022-11-23T01:36:06.1409402Z 
2022-11-23T01:36:06.1411455Z Expand the folded group to see the log file of test_tensorboard
2022-11-23T01:36:06.1412322Z ##[group]PRINTING LOG FILE of test_tensorboard (/var/lib/jenkins/workspace/test/test-reports/test_tensorboard_5e0l9g4n)
2022-11-23T01:36:06.1413970Z Test results will be stored in test-reports/python-unittest/test_tensorboard
2022-11-23T01:36:06.1414303Z 
2022-11-23T01:36:06.1414413Z Running tests...
2022-11-23T01:36:06.1414930Z ----------------------------------------------------------------------
2022-11-23T01:36:06.1415609Z   test_embedding (__main__.TestTensorBoardEmbedding) ... warning: Embedding dir exists, did you set global_step for add_embedding()?
2022-11-23T01:36:06.1416177Z ok (0.039s)
2022-11-23T01:36:06.1416791Z   test_embedding_64 (__main__.TestTensorBoardEmbedding) ... warning: Embedding dir exists, did you set global_step for add_embedding()?
2022-11-23T01:36:06.1417366Z ok (0.013s)
2022-11-23T01:36:06.1417855Z   test_figure (__main__.TestTensorBoardFigure) ... skip: no matplotlib (0.001s)
2022-11-23T01:36:06.1418477Z   test_figure_list (__main__.TestTensorBoardFigure) ... skip: no matplotlib (0.001s)
2022-11-23T01:36:06.1419134Z   test_caffe2_np (__main__.TestTensorBoardNumpy) ... skip: no caffe2 (0.000s)
2022-11-23T01:36:06.1419777Z   test_caffe2_np_expect_fail (__main__.TestTensorBoardNumpy) ... skip: no caffe2 (0.000s)
2022-11-23T01:36:06.1420428Z   test_caffe2_simple_cnnmodel (__main__.TestTensorBoardNumpy) ... skip: no caffe2 (0.001s)
2022-11-23T01:36:06.1421071Z   test_caffe2_simple_model (__main__.TestTensorBoardNumpy) ... skip: no caffe2 (0.002s)
2022-11-23T01:36:06.1421685Z   test_pytorch_np_expect_fail (__main__.TestTensorBoardNumpy) ... ok (0.000s)
2022-11-23T01:36:06.1422240Z   test_scalar (__main__.TestTensorBoardNumpy) ... ok (0.001s)
2022-11-23T01:36:06.1422805Z   test_pytorch_autograd_np (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.001s)
2022-11-23T01:36:06.1423447Z   test_pytorch_histogram (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.004s)
2022-11-23T01:36:06.1424105Z   test_pytorch_histogram_raw (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.025s)
2022-11-23T01:36:06.1439632Z   test_pytorch_np (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.002s)
2022-11-23T01:36:06.1440266Z   test_pytorch_write (__main__.TestTensorBoardPyTorchNumpy) ... ok (0.002s)
2022-11-23T01:36:06.1440858Z   test_mlp_graph (__main__.TestTensorBoardPytorchGraph) ... ok (0.542s)
2022-11-23T01:36:06.1441304Z   test_nested_nn_squential (__main__.TestTensorBoardPytorchGraph) ... ok (0.242s)
2022-11-23T01:36:06.1441624Z   test_pytorch_graph (__main__.TestTensorBoardPytorchGraph) ... ok (0.058s)
2022-11-23T01:36:06.1442707Z   test_pytorch_graph_dict_input (__main__.TestTensorBoardPytorchGraph) ... Encountering a dict at the output of the tracer might cause the trace to be incorrect, this is only valid if the container structure does not change based on the module's inputs. Consider using a constant container instead (e.g. for `list`, use a `tuple` instead. for `dict`, use a `NamedTuple` instead). If you absolutely need this and know the side effects, pass strict=False to trace() to allow this behavior.
2022-11-23T01:36:06.1443558Z Error occurs, No graph saved
2022-11-23T01:36:06.1443745Z ok (0.104s)
2022-11-23T01:36:06.1444054Z   test_torchvision_smoke (__main__.TestTensorBoardPytorchGraph) ... ok (106.309s)
2022-11-23T01:36:06.1444423Z   test_wrong_input_size (__main__.TestTensorBoardPytorchGraph) ... mat1 and mat2 shapes cannot be multiplied (1x9 and 3x5)
2022-11-23T01:36:06.1444725Z Error occurs, No graph saved
2022-11-23T01:36:06.1444905Z ok (0.026s)
2022-11-23T01:36:06.1445166Z   test_audio (__main__.TestTensorBoardSummary) ... warning: audio amplitude out of range, auto clipped.
2022-11-23T01:36:06.1445428Z ok (0.012s)
2022-11-23T01:36:06.1445657Z   test_custom_scalars (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:36:06.1479214Z   test_empty_input (__main__.TestTensorBoardSummary) ... ok (0.000s)
2022-11-23T01:36:06.1479660Z   test_float32_image (__main__.TestTensorBoardSummary)
2022-11-23T01:36:06.1480158Z Tests that float32 image (pixel values in [0, 1]) are scaled correctly ... ok (0.001s)
2022-11-23T01:36:06.1480741Z   test_histogram_auto (__main__.TestTensorBoardSummary) ... ok (0.002s)
2022-11-23T01:36:06.1481293Z   test_histogram_doane (__main__.TestTensorBoardSummary) ... ok (0.002s)
2022-11-23T01:36:06.1481836Z   test_histogram_fd (__main__.TestTensorBoardSummary) ... ok (0.002s)
2022-11-23T01:36:06.1482370Z   test_hparams_bool (__main__.TestTensorBoardSummary) ... ok (0.010s)
2022-11-23T01:36:06.1482937Z   test_hparams_domain_discrete (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:36:06.1483342Z   test_hparams_number (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:36:06.1483639Z   test_hparams_smoke (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:36:06.1483933Z   test_hparams_string (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:36:06.1484298Z   test_hparams_wrong_parameter (__main__.TestTensorBoardSummary) ... parameter: hparam_dict should be a dictionary, nothing logged.
2022-11-23T01:36:06.1484654Z parameter: metric_dict should be a dictionary, nothing logged.
2022-11-23T01:36:06.1484871Z ok (0.003s)
2022-11-23T01:36:06.1485125Z   test_image_with_3_channel_batched (__main__.TestTensorBoardSummary) ... ok (0.003s)
2022-11-23T01:36:06.1485424Z   test_image_with_boxes (__main__.TestTensorBoardSummary) ... ok (0.003s)
2022-11-23T01:36:06.1485728Z   test_image_with_one_channel (__main__.TestTensorBoardSummary) ... ok (0.002s)
2022-11-23T01:36:06.1486052Z   test_image_with_one_channel_batched (__main__.TestTensorBoardSummary) ... ok (0.002s)
2022-11-23T01:36:06.1486358Z   test_image_without_channel (__main__.TestTensorBoardSummary) ... ok (0.002s)
2022-11-23T01:36:06.1486654Z   test_list_input (__main__.TestTensorBoardSummary) ... ok (0.000s)
2022-11-23T01:36:06.1486933Z   test_mesh (__main__.TestTensorBoardSummary) ... ok (0.008s)
2022-11-23T01:36:06.1487206Z   test_scalar_new_style (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:36:06.1487493Z   test_text (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:36:06.1487758Z   test_uint8_image (__main__.TestTensorBoardSummary)
2022-11-23T01:36:06.1488042Z Tests that uint8 image (pixel values in [0, 255]) is not changed ... ok (0.001s)
2022-11-23T01:36:06.1488312Z   test_video (__main__.TestTensorBoardSummary) ... ok (0.001s)
2022-11-23T01:36:06.1488602Z   test_pathlib (__main__.TestTensorBoardSummaryWriter) ... ok (0.002s)
2022-11-23T01:36:06.1488924Z   test_summary_writer_close (__main__.TestTensorBoardSummaryWriter) ... ok (0.001s)
2022-11-23T01:36:06.1489247Z   test_summary_writer_ctx (__main__.TestTensorBoardSummaryWriter) ... ok (0.001s)
2022-11-23T01:36:06.1489575Z   test_convert_to_HWC_dtype_remains_same (__main__.TestTensorBoardUtils) ... ok (0.001s)
2022-11-23T01:36:06.1489882Z   test_numpy_vid_uint8 (__main__.TestTensorBoardUtils) ... ok (0.032s)
2022-11-23T01:36:06.1490171Z   test_prepare_video (__main__.TestTensorBoardUtils) ... ok (0.245s)
2022-11-23T01:36:06.1492216Z   test_to_HWC (__main__.TestTensorBoardUtils) ... ok (0.002s)
2022-11-23T01:36:06.1492773Z   test_writer (__main__.TestTensorBoardWriter) ... add_video needs package moviepy
2022-11-23T01:36:06.1493179Z ok (0.072s)
2022-11-23T01:36:06.1493485Z 
2022-11-23T01:36:06.1493913Z ----------------------------------------------------------------------
2022-11-23T01:36:06.1494333Z Ran 53 tests in 107.794s
2022-11-23T01:36:06.1494534Z 
2022-11-23T01:36:06.1494661Z OK (skipped=6)
2022-11-23T01:36:06.1494852Z 
2022-11-23T01:36:06.1495005Z Generating XML reports...
2022-11-23T01:36:06.1495696Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardEmbedding-20221123013417.xml
2022-11-23T01:36:06.1496241Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardNumpy-20221123013417.xml
2022-11-23T01:36:06.1496806Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardPyTorchNumpy-20221123013417.xml
2022-11-23T01:36:06.1497389Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardPytorchGraph-20221123013417.xml
2022-11-23T01:36:06.1497939Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardSummary-20221123013417.xml
2022-11-23T01:36:06.1498503Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardSummaryWriter-20221123013417.xml
2022-11-23T01:36:06.1499056Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardUtils-20221123013417.xml
2022-11-23T01:36:06.1499595Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardWriter-20221123013417.xml
2022-11-23T01:36:06.1500114Z Generated XML report: test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardFigure-20221123013417.xml
2022-11-23T01:36:06.1500353Z 
2022-11-23T01:36:06.1500703Z ##[endgroup]
2022-11-23T01:36:06.1501095Z FINISHED PRINTING LOG FILE of test_tensorboard (/var/lib/jenkins/workspace/test/test-reports/test_tensorboard_5e0l9g4n)
2022-11-23T01:36:06.1501313Z 
2022-11-23T01:36:06.9636382Z Running inductor/test_torchinductor_opinfo ... [2022-11-23 01:36:06.963223]
2022-11-23T01:36:11.1578079Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:36:11.1764140Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T01:36:11.3266502Z Ignoring disabled issues:  []
2022-11-23T01:36:11.3276828Z Ignoring disabled issues:  []
2022-11-23T01:36:11.3488057Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=0', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:36:11.348410]
2022-11-23T01:36:11.3495814Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=1', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:36:11.349289]
2022-11-23T02:03:38.9764206Z 
2022-11-23T02:03:38.9766991Z Expand the folded group to see the log file of inductor/test_torchinductor_opinfo
2022-11-23T02:03:38.9767774Z ##[group]PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_8zpfaeg0)
2022-11-23T02:03:38.9774366Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T02:03:38.9776453Z Test results will be stored in test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-932f1afa7339af9c.xml
2022-11-23T02:03:38.9777223Z ============================= test session starts ==============================
2022-11-23T02:03:38.9778014Z platform linux -- Python 3.7.13, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2022-11-23T02:03:38.9778457Z cachedir: .pytest_cache
2022-11-23T02:03:38.9779803Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2022-11-23T02:03:38.9780516Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-11-23T02:03:38.9781533Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2
2022-11-23T02:03:38.9782113Z collecting ... collected 2709 items / 2 deselected / 2707 selected
2022-11-23T02:03:38.9962611Z Running 1311 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___radd___cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___radd___cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rand___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmatmul___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmatmul___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmatmul___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmod___cpu_float16, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_max_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_min_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_min_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clone_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_column_stack_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_column_stack_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_column_stack_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_column_stack_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_combinations_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_combinations_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_combinations_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_combinations_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_physical_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_physical_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_constant_pad_nd_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_constant_pad_nd_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_constant_pad_nd_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_contiguous_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_contiguous_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_contiguous_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_copysign_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_copysign_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_copysign_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_copysign_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_corrcoef_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cos_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cos_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cosh_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_count_nonzero_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_count_nonzero_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_count_nonzero_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cov_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cov_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cross_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cross_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummax_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummin_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumprod_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumsum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumulative_trapezoid_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumulative_trapezoid_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_deg2rad_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_deg2rad_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_deg2rad_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_embed_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_copy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_copy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_scatter_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diff_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_digamma_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_digamma_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dist_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dist_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_floor_rounding_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_floor_rounding_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_floor_rounding_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_no_rounding_mode_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_no_rounding_mode_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_no_rounding_mode_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_no_rounding_mode_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_trunc_rounding_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dot_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dot_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dot_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dot_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_double_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_double_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dstack_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dstack_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dstack_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dstack_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dstack_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_like_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_like_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_like_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_like_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erf_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfc_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfc_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfc_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfinv_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfftn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfftn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfftn_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftn_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftn_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfftn_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfftn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfftn_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fliplr_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fliplr_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fliplr_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_divide_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_divide_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmod_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmod_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmod_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmod_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frac_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frac_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frac_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frexp_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frexp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frexp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_like_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gcd_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ge_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ge_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_geqrf_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_geqrf_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gradient_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histc_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histogramdd_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histogramdd_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hsplit_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hsplit_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hypot_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hypot_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igammac_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_inner_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lerp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cond_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cond_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_det_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigh_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigvals_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_householder_product_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_householder_product_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_inv_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_inv_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_inv_ex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_ex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_ex_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_solve_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_solve_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_grad_oriented_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_factor_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_factor_ex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_factor_ex_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_solve_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_norm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_norm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_power_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_rank_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_hermitian_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_singular_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_singular_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_qr_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_ex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_ex_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_triangular_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_svd_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_svdvals_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_svdvals_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_tensorinv_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_tensorsolve_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_float32, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lt_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lt_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_solve_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_unpack_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_unpack_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumprod_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumsum_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumsum_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_log_softmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logaddexp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_median_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_norm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_norm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_norm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_normalize_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_std_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_var_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_matmul_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_matmul_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_matmul_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_binary_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_binary_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_binary_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_pool2d_with_indices_backward_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_maximum_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_maximum_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_maximum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mean_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mean_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_minimum_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_minimum_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_minimum_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_minimum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mode_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mode_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mode_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mode_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mode_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_movedim_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_movedim_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_movedim_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_movedim_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_movedim_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_msort_cpu_bool, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_short_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_short_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_short_cpu_float64, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sqrt_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stft_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_float16, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_symeig_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tanh_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensordot_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensordot_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensordot_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_topk_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_topk_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_topk_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_topk_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapezoid_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapezoid_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapezoid_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapezoid_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapezoid_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapz_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triangular_solve_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triangular_solve_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_indices_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_indices_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trunc_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_uniform_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_uniform_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_mean_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_mean_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_mean_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_complex_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_complex_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_float32
2022-11-23T02:03:39.0122411Z 
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2022-11-23T02:03:39.0251292Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_float64 PASSED [ 23%]
2022-11-23T02:03:39.0251697Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_int32 PASSED [ 24%]
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2022-11-23T02:03:39.0252486Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft_cpu_float32 PASSED [ 24%]
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2022-11-23T02:03:39.0254074Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_bool PASSED [ 24%]
2022-11-23T02:03:39.0254488Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_float16 PASSED [ 24%]
2022-11-23T02:03:39.0254945Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_int64 PASSED [ 24%]
2022-11-23T02:03:39.0255387Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_bool PASSED [ 24%]
2022-11-23T02:03:39.0255795Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_float32 PASSED [ 24%]
2022-11-23T02:03:39.0256207Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_float64 PASSED [ 24%]
2022-11-23T02:03:39.0256600Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_int32 PASSED [ 24%]
2022-11-23T02:03:39.0257003Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_int64 PASSED [ 25%]
2022-11-23T02:03:39.0257407Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_bool PASSED [ 25%]
2022-11-23T02:03:39.0257811Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_int32 PASSED [ 25%]
2022-11-23T02:03:39.0258200Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_int64 PASSED [ 25%]
2022-11-23T02:03:39.0258604Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfftn_cpu_float32 PASSED [ 25%]
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2022-11-23T02:03:39.0260204Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft2_cpu_float32 PASSED [ 25%]
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2022-11-23T02:03:39.0262691Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftn_cpu_float64 PASSED [ 26%]
2022-11-23T02:03:39.0263134Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftn_cpu_int32 PASSED [ 26%]
2022-11-23T02:03:39.0263541Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftn_cpu_int64 PASSED [ 26%]
2022-11-23T02:03:39.0263957Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_float32 PASSED [ 26%]
2022-11-23T02:03:39.0264363Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_float64 PASSED [ 26%]
2022-11-23T02:03:39.0264781Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_bool PASSED [ 26%]
2022-11-23T02:03:39.0265197Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_float32 PASSED [ 26%]
2022-11-23T02:03:39.0265613Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_float64 PASSED [ 26%]
2022-11-23T02:03:39.0266008Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_int32 PASSED [ 26%]
2022-11-23T02:03:39.0266468Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_float64 PASSED [ 26%]
2022-11-23T02:03:39.0266904Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_int64 PASSED [ 26%]
2022-11-23T02:03:39.0267312Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfftn_cpu_bool PASSED [ 26%]
2022-11-23T02:03:39.0267705Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfftn_cpu_float64 PASSED [ 27%]
2022-11-23T02:03:39.0268112Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfftn_cpu_int64 PASSED [ 27%]
2022-11-23T02:03:39.0268517Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_bool PASSED [ 27%]
2022-11-23T02:03:39.0268923Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_float64 PASSED [ 27%]
2022-11-23T02:03:39.0269317Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_bool PASSED [ 27%]
2022-11-23T02:03:39.0269729Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_float32 PASSED [ 27%]
2022-11-23T02:03:39.0270134Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_int64 PASSED [ 27%]
2022-11-23T02:03:39.0270543Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_int64 PASSED [ 27%]
2022-11-23T02:03:39.0270933Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_bool PASSED [ 27%]
2022-11-23T02:03:39.0271367Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_float32 PASSED [ 27%]
2022-11-23T02:03:39.0271771Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_float64 PASSED [ 27%]
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2022-11-23T02:03:39.0272574Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_float16 PASSED [ 27%]
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2022-11-23T02:03:39.0274961Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_bool PASSED [ 28%]
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2022-11-23T02:03:39.0282869Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_float16 PASSED [ 29%]
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2022-11-23T02:03:39.0300086Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_bool PASSED [ 33%]
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2022-11-23T02:03:39.0301784Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_float64 PASSED [ 33%]
2022-11-23T02:03:39.0302215Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_int32 PASSED [ 33%]
2022-11-23T02:03:39.0302619Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igammac_cpu_float64 PASSED [ 33%]
2022-11-23T02:03:39.0303027Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_bool PASSED [ 33%]
2022-11-23T02:03:39.0303420Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_float16 PASSED [ 33%]
2022-11-23T02:03:39.0303829Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_int64 PASSED [ 33%]
2022-11-23T02:03:39.0304243Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_bool PASSED [ 33%]
2022-11-23T02:03:39.0304643Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_float32 PASSED [ 33%]
2022-11-23T02:03:39.0305055Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_bool PASSED [ 34%]
2022-11-23T02:03:39.0305468Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_float32 PASSED [ 34%]
2022-11-23T02:03:39.0305879Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_int32 PASSED [ 34%]
2022-11-23T02:03:39.0306277Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_int64 PASSED [ 34%]
2022-11-23T02:03:39.0306682Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_bool PASSED [ 34%]
2022-11-23T02:03:39.0307090Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_float32 PASSED [ 34%]
2022-11-23T02:03:39.0307501Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_float64 PASSED [ 34%]
2022-11-23T02:03:39.0307896Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_int32 PASSED [ 34%]
2022-11-23T02:03:39.0308307Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_float32 PASSED [ 34%]
2022-11-23T02:03:39.0308720Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_int32 PASSED [ 34%]
2022-11-23T02:03:39.0309135Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_int64 PASSED [ 34%]
2022-11-23T02:03:39.0309530Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_float64 PASSED [ 34%]
2022-11-23T02:03:39.0309940Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_inner_cpu_int64 PASSED [ 34%]
2022-11-23T02:03:39.0310341Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_float32 PASSED [ 35%]
2022-11-23T02:03:39.0310741Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_int64 PASSED [ 35%]
2022-11-23T02:03:39.0311128Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_float16 PASSED [ 35%]
2022-11-23T02:03:39.0311537Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_float32 PASSED [ 35%]
2022-11-23T02:03:39.0311938Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_float64 PASSED [ 35%]
2022-11-23T02:03:39.0312339Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_int32 PASSED [ 35%]
2022-11-23T02:03:39.0312722Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_int64 PASSED [ 35%]
2022-11-23T02:03:39.0313157Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_float16 PASSED [ 35%]
2022-11-23T02:03:39.0313599Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_float32 PASSED [ 35%]
2022-11-23T02:03:39.0313995Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_float64 PASSED [ 35%]
2022-11-23T02:03:39.0314397Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isin_cpu_float64 PASSED [ 35%]
2022-11-23T02:03:39.0314798Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_float16 PASSED [ 35%]
2022-11-23T02:03:39.0315199Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_float32 PASSED [ 35%]
2022-11-23T02:03:39.0315585Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_int32 PASSED [ 36%]
2022-11-23T02:03:39.0315983Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_int64 PASSED [ 36%]
2022-11-23T02:03:39.0316382Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_float16 PASSED [ 36%]
2022-11-23T02:03:39.0316776Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_int32 PASSED [ 36%]
2022-11-23T02:03:39.0317307Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_int64 PASSED [ 36%]
2022-11-23T02:03:39.0317782Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_float32 PASSED [ 36%]
2022-11-23T02:03:39.0318194Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_float64 PASSED [ 36%]
2022-11-23T02:03:39.0330729Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_int32 PASSED [ 36%]
2022-11-23T02:03:39.0331287Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_int64 PASSED [ 36%]
2022-11-23T02:03:39.0331707Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_float16 PASSED [ 36%]
2022-11-23T02:03:39.0332110Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_float32 PASSED [ 36%]
2022-11-23T02:03:39.0332519Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_float64 PASSED [ 36%]
2022-11-23T02:03:39.0332930Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_int32 PASSED [ 36%]
2022-11-23T02:03:39.0333335Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_int64 PASSED [ 36%]
2022-11-23T02:03:39.0333768Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_bool SKIPPED (Only runs on cuda) [ 37%]
2022-11-23T02:03:39.0334251Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_float32 SKIPPED (Only runs on cuda) [ 37%]
2022-11-23T02:03:39.0334734Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_int32 SKIPPED (Only runs on cuda) [ 37%]
2022-11-23T02:03:39.0335218Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float16 SKIPPED (Only runs on cuda) [ 37%]
2022-11-23T02:03:39.0335696Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float64 SKIPPED (Only runs on cuda) [ 37%]
2022-11-23T02:03:39.0336189Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_int64 SKIPPED (Only runs on cuda) [ 37%]
2022-11-23T02:03:39.0336822Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_float32 SKIPPED (Only runs on cuda) [ 37%]
2022-11-23T02:03:39.0337285Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_float64 SKIPPED (Only runs on cuda) [ 37%]
2022-11-23T02:03:39.0337777Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_int64 SKIPPED (Only runs on cuda) [ 37%]
2022-11-23T02:03:39.0338256Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_float32 SKIPPED (Only runs on cuda) [ 37%]
2022-11-23T02:03:39.0338740Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_float64 SKIPPED (Only runs on cuda) [ 37%]
2022-11-23T02:03:39.0339215Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_int64 SKIPPED (Only runs on cuda) [ 37%]
2022-11-23T02:03:39.0339670Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_bool SKIPPED (Only runs on cuda) [ 37%]
2022-11-23T02:03:39.0340128Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_float32 SKIPPED (Only runs on cuda) [ 38%]
2022-11-23T02:03:39.0340581Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_float64 SKIPPED (Only runs on cuda) [ 38%]
2022-11-23T02:03:39.0341037Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_int32 SKIPPED (Only runs on cuda) [ 38%]
2022-11-23T02:03:39.0341587Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_int64 SKIPPED (Only runs on cuda) [ 38%]
2022-11-23T02:03:39.0342006Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_float16 PASSED [ 38%]
2022-11-23T02:03:39.0342415Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_float32 PASSED [ 38%]
2022-11-23T02:03:39.0342820Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_float64 PASSED [ 38%]
2022-11-23T02:03:39.0343216Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_int64 PASSED [ 38%]
2022-11-23T02:03:39.0343622Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_bool PASSED [ 38%]
2022-11-23T02:03:39.0344032Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_float32 PASSED [ 38%]
2022-11-23T02:03:39.0344437Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_int32 PASSED [ 38%]
2022-11-23T02:03:39.0344827Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_float32 PASSED [ 38%]
2022-11-23T02:03:39.0345340Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lerp_cpu_float64 PASSED [ 38%]
2022-11-23T02:03:39.0345749Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_bool PASSED [ 39%]
2022-11-23T02:03:39.0346163Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cond_cpu_float32 PASSED [ 39%]
2022-11-23T02:03:39.0346569Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cond_cpu_float64 PASSED [ 39%]
2022-11-23T02:03:39.0346987Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_int64 PASSED [ 39%]
2022-11-23T02:03:39.0347399Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_det_cpu_float64 PASSED [ 39%]
2022-11-23T02:03:39.0347810Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigh_cpu_float64 PASSED [ 39%]
2022-11-23T02:03:39.0348219Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigvals_cpu_float32 PASSED [ 39%]
2022-11-23T02:03:39.0348718Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_householder_product_cpu_float32 PASSED [ 39%]
2022-11-23T02:03:39.0349196Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_householder_product_cpu_float64 PASSED [ 39%]
2022-11-23T02:03:39.0349624Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_inv_cpu_float32 PASSED [ 39%]
2022-11-23T02:03:39.0350020Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_inv_cpu_float64 PASSED [ 39%]
2022-11-23T02:03:39.0350438Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_inv_ex_cpu_float32 PASSED [ 39%]
2022-11-23T02:03:39.0350865Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_ex_cpu_float32 PASSED [ 39%]
2022-11-23T02:03:39.0351303Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_ex_cpu_float64 PASSED [ 40%]
2022-11-23T02:03:39.0351780Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_solve_cpu_float32 SKIPPED (linalg.ldl_solve in torch.float32 not supported) [ 40%]
2022-11-23T02:03:39.0352309Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_solve_cpu_float64 SKIPPED (linalg.ldl_solve in torch.float64 not supported) [ 40%]
2022-11-23T02:03:39.0352784Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_cpu_float64 PASSED [ 40%]
2022-11-23T02:03:39.0353213Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_grad_oriented_cpu_float64 PASSED [ 40%]
2022-11-23T02:03:39.0353636Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_factor_cpu_float32 PASSED [ 40%]
2022-11-23T02:03:39.0354061Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_factor_ex_cpu_float32 PASSED [ 40%]
2022-11-23T02:03:39.0354486Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_factor_ex_cpu_float64 PASSED [ 40%]
2022-11-23T02:03:39.0354916Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_solve_cpu_float32 PASSED [ 40%]
2022-11-23T02:03:39.0355323Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_norm_cpu_float16 PASSED [ 40%]
2022-11-23T02:03:39.0355746Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_norm_cpu_float64 PASSED [ 40%]
2022-11-23T02:03:39.0356171Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_power_cpu_float64 PASSED [ 40%]
2022-11-23T02:03:39.0356594Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_rank_cpu_float64 PASSED [ 40%]
2022-11-23T02:03:39.0357006Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_cpu_float16 PASSED [ 41%]
2022-11-23T02:03:39.0357668Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float64 PASSED [ 41%]
2022-11-23T02:03:39.0358107Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_cpu_float32 PASSED [ 41%]
2022-11-23T02:03:39.0358541Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_hermitian_cpu_float64 PASSED [ 41%]
2022-11-23T02:03:39.0359026Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_singular_cpu_float32 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 41%]
2022-11-23T02:03:39.0359575Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_singular_cpu_float64 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 41%]
2022-11-23T02:03:39.0360106Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_qr_cpu_float32 PASSED [ 41%]
2022-11-23T02:03:39.0360555Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_cpu_float64 PASSED [ 41%]
2022-11-23T02:03:39.0360966Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_ex_cpu_float32 PASSED [ 41%]
2022-11-23T02:03:39.0361392Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_ex_cpu_float64 PASSED [ 41%]
2022-11-23T02:03:39.0361823Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_triangular_cpu_float32 PASSED [ 41%]
2022-11-23T02:03:39.0362249Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_svd_cpu_float64 PASSED [ 41%]
2022-11-23T02:03:39.0362653Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_svdvals_cpu_float32 PASSED [ 41%]
2022-11-23T02:03:39.0363072Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_svdvals_cpu_float64 PASSED [ 42%]
2022-11-23T02:03:39.0363501Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_tensorinv_cpu_float32 PASSED [ 42%]
2022-11-23T02:03:39.0363926Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_tensorsolve_cpu_float64 PASSED [ 42%]
2022-11-23T02:03:39.0364337Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_float64 PASSED [ 42%]
2022-11-23T02:03:39.0364751Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_int64 PASSED [ 42%]
2022-11-23T02:03:39.0365161Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_float16 PASSED [ 42%]
2022-11-23T02:03:39.0365569Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_float32 PASSED [ 42%]
2022-11-23T02:03:39.0365961Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_float64 PASSED [ 42%]
2022-11-23T02:03:39.0366368Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_int32 PASSED [ 42%]
2022-11-23T02:03:39.0366770Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_int64 PASSED [ 42%]
2022-11-23T02:03:39.0367171Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_bool PASSED [ 42%]
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2022-11-23T02:03:39.0368756Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_float64 PASSED [ 43%]
2022-11-23T02:03:39.0369142Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_bool PASSED [ 43%]
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2022-11-23T02:03:39.0371113Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_cpu_float64 PASSED [ 43%]
2022-11-23T02:03:39.0371602Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_float16 PASSED [ 43%]
2022-11-23T02:03:39.0372149Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_float64 PASSED [ 43%]
2022-11-23T02:03:39.0372577Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logaddexp2_cpu_float64 PASSED [ 43%]
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2022-11-23T02:03:39.0373400Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logdet_cpu_float32 PASSED [ 43%]
2022-11-23T02:03:39.0373791Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logdet_cpu_float64 PASSED [ 44%]
2022-11-23T02:03:39.0374198Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_bool PASSED [ 44%]
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2022-11-23T02:03:39.0377854Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_bool PASSED [ 44%]
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2022-11-23T02:03:39.0378649Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_cpu_float32 PASSED [ 44%]
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2022-11-23T02:03:39.0379872Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_bool PASSED [ 45%]
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2022-11-23T02:03:39.0383617Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_float32 PASSED [ 45%]
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2022-11-23T02:03:39.0384409Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_int32 PASSED [ 45%]
2022-11-23T02:03:39.0384787Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_int64 PASSED [ 46%]
2022-11-23T02:03:39.0385182Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_float16 PASSED [ 46%]
2022-11-23T02:03:39.0385588Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_float16 PASSED [ 46%]
2022-11-23T02:03:39.0386002Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_float32 PASSED [ 46%]
2022-11-23T02:03:39.0386397Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_float16 PASSED [ 46%]
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2022-11-23T02:03:39.0387230Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_float16 PASSED [ 46%]
2022-11-23T02:03:39.0387636Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_float32 PASSED [ 46%]
2022-11-23T02:03:39.0388048Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_float32 PASSED [ 46%]
2022-11-23T02:03:39.0388465Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_int32 PASSED [ 46%]
2022-11-23T02:03:39.0388880Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_int64 PASSED [ 46%]
2022-11-23T02:03:39.0389288Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumprod_cpu_int32 PASSED [ 46%]
2022-11-23T02:03:39.0389703Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumsum_cpu_float32 PASSED [ 46%]
2022-11-23T02:03:39.0390116Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumsum_cpu_int32 PASSED [ 47%]
2022-11-23T02:03:39.0390525Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_bool PASSED [ 47%]
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2022-11-23T02:03:39.0391324Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_float64 PASSED [ 47%]
2022-11-23T02:03:39.0391736Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_int32 PASSED [ 47%]
2022-11-23T02:03:39.0392158Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_log_softmax_cpu_float32 PASSED [ 47%]
2022-11-23T02:03:39.0392574Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logaddexp_cpu_float64 PASSED [ 47%]
2022-11-23T02:03:39.0392995Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_float32 PASSED [ 47%]
2022-11-23T02:03:39.0393418Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_float64 PASSED [ 47%]
2022-11-23T02:03:39.0393835Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_int32 PASSED [ 47%]
2022-11-23T02:03:39.0394239Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_int64 PASSED [ 47%]
2022-11-23T02:03:39.0394680Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_bool PASSED [ 47%]
2022-11-23T02:03:39.0395124Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_float32 PASSED [ 47%]
2022-11-23T02:03:39.0395541Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_median_cpu_float64 PASSED [ 48%]
2022-11-23T02:03:39.0395944Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_norm_cpu_float16 PASSED [ 48%]
2022-11-23T02:03:39.0396352Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_norm_cpu_float32 PASSED [ 48%]
2022-11-23T02:03:39.0396761Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_norm_cpu_float64 PASSED [ 48%]
2022-11-23T02:03:39.0397324Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_normalize_cpu_float32 PASSED [ 48%]
2022-11-23T02:03:39.0397801Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_float64 PASSED [ 48%]
2022-11-23T02:03:39.0398218Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_int32 PASSED [ 48%]
2022-11-23T02:03:39.0398630Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_int64 PASSED [ 48%]
2022-11-23T02:03:39.0399046Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_float64 PASSED [ 48%]
2022-11-23T02:03:39.0399452Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_int64 PASSED [ 48%]
2022-11-23T02:03:39.0399867Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_int32 PASSED [ 48%]
2022-11-23T02:03:39.0400286Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_int64 PASSED [ 48%]
2022-11-23T02:03:39.0400706Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmin_cpu_float64 PASSED [ 48%]
2022-11-23T02:03:39.0401109Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_std_cpu_int64 PASSED [ 49%]
2022-11-23T02:03:39.0401518Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_bool PASSED [ 49%]
2022-11-23T02:03:39.0401928Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_float16 PASSED [ 49%]
2022-11-23T02:03:39.0402321Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_float32 PASSED [ 49%]
2022-11-23T02:03:39.0402720Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_float64 PASSED [ 49%]
2022-11-23T02:03:39.0403131Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_int32 PASSED [ 49%]
2022-11-23T02:03:39.0403541Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_int64 PASSED [ 49%]
2022-11-23T02:03:39.0403935Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_var_cpu_int64 PASSED [ 49%]
2022-11-23T02:03:39.0404344Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_matmul_cpu_float32 PASSED [ 49%]
2022-11-23T02:03:39.0404752Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_matmul_cpu_float64 PASSED [ 49%]
2022-11-23T02:03:39.0405160Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_matmul_cpu_int64 PASSED [ 49%]
2022-11-23T02:03:39.0405555Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_binary_cpu_float16 PASSED [ 49%]
2022-11-23T02:03:39.0406031Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_binary_cpu_float32 PASSED [ 49%]
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2022-11-23T02:03:39.0406918Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_pool2d_with_indices_backward_cpu_float64 PASSED [ 50%]
2022-11-23T02:03:39.0407347Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_int32 PASSED [ 50%]
2022-11-23T02:03:39.0407783Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_bool PASSED [ 50%]
2022-11-23T02:03:39.0408226Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_float64 PASSED [ 50%]
2022-11-23T02:03:39.0408660Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_int64 PASSED [ 50%]
2022-11-23T02:03:39.0409070Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_maximum_cpu_bool PASSED [ 50%]
2022-11-23T02:03:39.0409484Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_maximum_cpu_float64 PASSED [ 50%]
2022-11-23T02:03:39.0409896Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_maximum_cpu_int64 PASSED [ 50%]
2022-11-23T02:03:39.0410300Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mean_cpu_float16 PASSED [ 50%]
2022-11-23T02:03:39.0410687Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mean_cpu_float64 PASSED [ 50%]
2022-11-23T02:03:39.0411107Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_bool PASSED [ 50%]
2022-11-23T02:03:39.0411551Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_float32 PASSED [ 50%]
2022-11-23T02:03:39.0411992Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_float64 PASSED [ 51%]
2022-11-23T02:03:39.0412421Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_int64 PASSED [ 51%]
2022-11-23T02:03:39.0412866Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_float32 PASSED [ 51%]
2022-11-23T02:03:39.0413313Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_int32 PASSED [ 51%]
2022-11-23T02:03:39.0413740Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_bool PASSED [ 51%]
2022-11-23T02:03:39.0414139Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_float32 PASSED [ 51%]
2022-11-23T02:03:39.0414552Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_int32 PASSED [ 51%]
2022-11-23T02:03:39.0414974Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_float16 PASSED [ 51%]
2022-11-23T02:03:39.0415406Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_float32 PASSED [ 51%]
2022-11-23T02:03:39.0415823Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_float64 PASSED [ 51%]
2022-11-23T02:03:39.0416246Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_int64 PASSED [ 51%]
2022-11-23T02:03:39.0416675Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_float32 PASSED [ 51%]
2022-11-23T02:03:39.0417106Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_int32 PASSED [ 51%]
2022-11-23T02:03:39.0417550Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_int64 PASSED [ 52%]
2022-11-23T02:03:39.0417964Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_minimum_cpu_float16 PASSED [ 52%]
2022-11-23T02:03:39.0418410Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_minimum_cpu_float32 PASSED [ 52%]
2022-11-23T02:03:39.0418801Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_minimum_cpu_int32 PASSED [ 52%]
2022-11-23T02:03:39.0419200Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_minimum_cpu_int64 PASSED [ 52%]
2022-11-23T02:03:39.0419597Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mode_cpu_bool PASSED [ 52%]
2022-11-23T02:03:39.0419992Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mode_cpu_float32 PASSED [ 52%]
2022-11-23T02:03:39.0420384Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mode_cpu_float64 PASSED [ 52%]
2022-11-23T02:03:39.0420779Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mode_cpu_int32 PASSED [ 52%]
2022-11-23T02:03:39.0421175Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mode_cpu_int64 PASSED [ 52%]
2022-11-23T02:03:39.0421651Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_movedim_cpu_float16 PASSED [ 52%]
2022-11-23T02:03:39.0422043Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_movedim_cpu_float32 PASSED [ 52%]
2022-11-23T02:03:39.0422445Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_movedim_cpu_float64 PASSED [ 52%]
2022-11-23T02:03:39.0422852Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_movedim_cpu_int32 PASSED [ 53%]
2022-11-23T02:03:39.0423256Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_movedim_cpu_int64 PASSED [ 53%]
2022-11-23T02:03:39.0423647Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_msort_cpu_bool PASSED [ 53%]
2022-11-23T02:03:39.0424048Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_msort_cpu_float32 PASSED [ 53%]
2022-11-23T02:03:39.0424453Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_msort_cpu_float64 PASSED [ 53%]
2022-11-23T02:03:39.0424853Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mul_cpu_float16 PASSED [ 53%]
2022-11-23T02:03:39.0425238Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mul_cpu_float64 PASSED [ 53%]
2022-11-23T02:03:39.0425629Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mul_cpu_int32 PASSED [ 53%]
2022-11-23T02:03:39.0426022Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mv_cpu_float64 PASSED [ 53%]
2022-11-23T02:03:39.0426409Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mv_cpu_int32 PASSED [ 53%]
2022-11-23T02:03:39.0426802Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mv_cpu_int64 PASSED [ 53%]
2022-11-23T02:03:39.0427214Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_float64 PASSED [ 53%]
2022-11-23T02:03:39.0427649Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_float32 PASSED [ 53%]
2022-11-23T02:03:39.0428066Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_float64 PASSED [ 54%]
2022-11-23T02:03:39.0428493Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int64 PASSED [ 54%]
2022-11-23T02:03:39.0428918Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_float32 PASSED [ 54%]
2022-11-23T02:03:39.0429395Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_int32 PASSED [ 54%]
2022-11-23T02:03:39.0429834Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nan_to_num_cpu_bool PASSED [ 54%]
2022-11-23T02:03:39.0430246Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nan_to_num_cpu_int64 PASSED [ 54%]
2022-11-23T02:03:39.0430655Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmean_cpu_float16 PASSED [ 54%]
2022-11-23T02:03:39.0431061Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmean_cpu_float32 PASSED [ 54%]
2022-11-23T02:03:39.0431453Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmean_cpu_float64 PASSED [ 54%]
2022-11-23T02:03:39.0431862Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmedian_cpu_float32 PASSED [ 54%]
2022-11-23T02:03:39.0432278Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmedian_cpu_float64 PASSED [ 54%]
2022-11-23T02:03:39.0432690Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmedian_cpu_int32 PASSED [ 54%]
2022-11-23T02:03:39.0433093Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanquantile_cpu_float32 PASSED [ 54%]
2022-11-23T02:03:39.0433504Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nansum_cpu_float16 PASSED [ 54%]
2022-11-23T02:03:39.0433908Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nansum_cpu_int32 PASSED [ 55%]
2022-11-23T02:03:39.0434320Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_copy_cpu_bool PASSED [ 55%]
2022-11-23T02:03:39.0434722Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_copy_cpu_float32 PASSED [ 55%]
2022-11-23T02:03:39.0435131Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_cpu_bool PASSED [ 55%]
2022-11-23T02:03:39.0435535Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_cpu_float16 PASSED [ 55%]
2022-11-23T02:03:39.0435937Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_cpu_float64 PASSED [ 55%]
2022-11-23T02:03:39.0436327Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_cpu_int32 PASSED [ 55%]
2022-11-23T02:03:39.0436737Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_batch_norm_cpu_float64 PASSED [ 55%]
2022-11-23T02:03:39.0437305Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_dropout_backward_cpu_bool PASSED [ 55%]
2022-11-23T02:03:39.0437795Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_dropout_backward_cpu_float16 PASSED [ 55%]
2022-11-23T02:03:39.0438226Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_dropout_backward_cpu_float64 PASSED [ 55%]
2022-11-23T02:03:39.0438665Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_dropout_backward_cpu_int32 PASSED [ 55%]
2022-11-23T02:03:39.0439097Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_dropout_backward_cpu_int64 PASSED [ 55%]
2022-11-23T02:03:39.0439516Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ne_cpu_float16 PASSED [ 56%]
2022-11-23T02:03:39.0439899Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ne_cpu_int64 PASSED [ 56%]
2022-11-23T02:03:39.0440293Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_neg_cpu_float16 PASSED [ 56%]
2022-11-23T02:03:39.0440749Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_neg_cpu_float64 PASSED [ 56%]
2022-11-23T02:03:39.0441138Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_cpu_bool PASSED [ 56%]
2022-11-23T02:03:39.0441583Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_cpu_float16 PASSED [ 56%]
2022-11-23T02:03:39.0441995Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_cpu_float32 PASSED [ 56%]
2022-11-23T02:03:39.0442405Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_cpu_int32 PASSED [ 56%]
2022-11-23T02:03:39.0442809Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_strided_cpu_float16 PASSED [ 56%]
2022-11-23T02:03:39.0443234Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_strided_cpu_float32 PASSED [ 56%]
2022-11-23T02:03:39.0443662Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_strided_cpu_int32 PASSED [ 56%]
2022-11-23T02:03:39.0444079Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_strided_cpu_int64 PASSED [ 56%]
2022-11-23T02:03:39.0444476Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_full_cpu_int64 PASSED [ 56%]
2022-11-23T02:03:39.0444879Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_ones_cpu_bool PASSED [ 57%]
2022-11-23T02:03:39.0445285Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_ones_cpu_float16 PASSED [ 57%]
2022-11-23T02:03:39.0445691Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_ones_cpu_float64 PASSED [ 57%]
2022-11-23T02:03:39.0446095Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nextafter_cpu_float32 PASSED [ 57%]
2022-11-23T02:03:39.0446508Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nextafter_cpu_float64 PASSED [ 57%]
2022-11-23T02:03:39.0446955Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional__scaled_dot_product_attention_cpu_float32 PASSED [ 57%]
2022-11-23T02:03:39.0447434Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional__scaled_dot_product_attention_cpu_float64 PASSED [ 57%]
2022-11-23T02:03:39.0447892Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_avg_pool1d_cpu_float64 PASSED [ 57%]
2022-11-23T02:03:39.0448348Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_avg_pool2d_cpu_float32 PASSED [ 57%]
2022-11-23T02:03:39.0448801Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_avg_pool3d_cpu_float32 PASSED [ 57%]
2022-11-23T02:03:39.0449248Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_avg_pool3d_cpu_float64 PASSED [ 57%]
2022-11-23T02:03:39.0449686Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_max_pool1d_cpu_float64 PASSED [ 57%]
2022-11-23T02:03:39.0450143Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_max_pool2d_cpu_float32 PASSED [ 57%]
2022-11-23T02:03:39.0450595Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_max_pool2d_cpu_float64 PASSED [ 58%]
2022-11-23T02:03:39.0451040Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_max_pool3d_cpu_float32 PASSED [ 58%]
2022-11-23T02:03:39.0451475Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_alpha_dropout_cpu_float32 PASSED [ 58%]
2022-11-23T02:03:39.0451923Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_alpha_dropout_cpu_float64 PASSED [ 58%]
2022-11-23T02:03:39.0452397Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_avg_pool1d_cpu_float32 PASSED [ 58%]
2022-11-23T02:03:39.0452863Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_avg_pool1d_cpu_float64 PASSED [ 58%]
2022-11-23T02:03:39.0453291Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_avg_pool1d_cpu_int64 PASSED [ 58%]
2022-11-23T02:03:39.0453724Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_avg_pool2d_cpu_float32 PASSED [ 58%]
2022-11-23T02:03:39.0454156Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_avg_pool2d_cpu_int64 PASSED [ 58%]
2022-11-23T02:03:39.0454585Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_avg_pool3d_cpu_float32 PASSED [ 58%]
2022-11-23T02:03:39.0455007Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_avg_pool3d_cpu_float64 PASSED [ 58%]
2022-11-23T02:03:39.0455442Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_avg_pool3d_cpu_int64 PASSED [ 58%]
2022-11-23T02:03:39.0455876Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_batch_norm_cpu_float32 PASSED [ 58%]
2022-11-23T02:03:39.0456308Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_bilinear_cpu_float32 PASSED [ 59%]
2022-11-23T02:03:39.0456725Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_bilinear_cpu_float64 PASSED [ 59%]
2022-11-23T02:03:39.0457153Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_bilinear_cpu_int64 PASSED [ 59%]
2022-11-23T02:03:39.0457599Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_binary_cross_entropy_cpu_float32 PASSED [ 59%]
2022-11-23T02:03:39.0458069Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_binary_cross_entropy_with_logits_cpu_float64 PASSED [ 59%]
2022-11-23T02:03:39.0458508Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_celu_cpu_float32 PASSED [ 59%]
2022-11-23T02:03:39.0458934Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_celu_cpu_float64 PASSED [ 59%]
2022-11-23T02:03:39.0459362Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv1d_cpu_float64 PASSED [ 59%]
2022-11-23T02:03:39.0459787Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv2d_cpu_int64 PASSED [ 59%]
2022-11-23T02:03:39.0460210Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose1d_cpu_float32 PASSED [ 59%]
2022-11-23T02:03:39.0460660Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose1d_cpu_int64 PASSED [ 59%]
2022-11-23T02:03:39.0461111Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose2d_cpu_float32 PASSED [ 59%]
2022-11-23T02:03:39.0461627Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose2d_cpu_float64 PASSED [ 59%]
2022-11-23T02:03:39.0462071Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose3d_cpu_float64 PASSED [ 60%]
2022-11-23T02:03:39.0462525Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cosine_embedding_loss_cpu_float32 PASSED [ 60%]
2022-11-23T02:03:39.0462984Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cosine_similarity_cpu_float32 PASSED [ 60%]
2022-11-23T02:03:39.0463464Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_ctc_loss_cpu_float32 PASSED [ 60%]
2022-11-23T02:03:39.0463918Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_dropout2d_cpu_float64 PASSED [ 60%]
2022-11-23T02:03:39.0464354Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_dropout3d_cpu_float32 PASSED [ 60%]
2022-11-23T02:03:39.0464790Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_dropout3d_cpu_float64 PASSED [ 60%]
2022-11-23T02:03:39.0465230Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_dropout_cpu_float64 PASSED [ 60%]
2022-11-23T02:03:39.0465649Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_elu_cpu_float32 PASSED [ 60%]
2022-11-23T02:03:39.0466085Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_embedding_bag_cpu_float32 PASSED [ 60%]
2022-11-23T02:03:39.0466533Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_embedding_cpu_float32 PASSED [ 60%]
2022-11-23T02:03:39.0466974Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_embedding_cpu_float64 PASSED [ 60%]
2022-11-23T02:03:39.0467440Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_feature_alpha_dropout_with_train_cpu_float32 PASSED [ 60%]
2022-11-23T02:03:39.0467908Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_feature_alpha_dropout_with_train_cpu_float64 PASSED [ 61%]
2022-11-23T02:03:39.0468388Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_bool PASSED [ 61%]
2022-11-23T02:03:39.0468879Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_int32 PASSED [ 61%]
2022-11-23T02:03:39.0469358Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_fractional_max_pool3d_cpu_float64 PASSED [ 61%]
2022-11-23T02:03:39.0469793Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_glu_cpu_float32 PASSED [ 61%]
2022-11-23T02:03:39.0470224Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_glu_cpu_float64 PASSED [ 61%]
2022-11-23T02:03:39.0470660Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_grid_sample_cpu_float32 PASSED [ 61%]
2022-11-23T02:03:39.0471102Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_group_norm_cpu_float64 PASSED [ 61%]
2022-11-23T02:03:39.0471527Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardshrink_cpu_float32 PASSED [ 61%]
2022-11-23T02:03:39.0471972Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardsigmoid_cpu_float32 PASSED [ 61%]
2022-11-23T02:03:39.0472433Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardsigmoid_cpu_float64 PASSED [ 61%]
2022-11-23T02:03:39.0472960Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardswish_cpu_float64 PASSED [ 61%]
2022-11-23T02:03:39.0473391Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardtanh_cpu_float64 PASSED [ 61%]
2022-11-23T02:03:39.0473829Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardtanh_cpu_int64 PASSED [ 62%]
2022-11-23T02:03:39.0474267Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_huber_loss_cpu_float16 PASSED [ 62%]
2022-11-23T02:03:39.0474753Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_bicubic_cpu_float32 PASSED [ 62%]
2022-11-23T02:03:39.0475231Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_bicubic_cpu_float64 PASSED [ 62%]
2022-11-23T02:03:39.0475699Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_bilinear_cpu_float64 PASSED [ 62%]
2022-11-23T02:03:39.0476162Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_linear_cpu_float32 PASSED [ 62%]
2022-11-23T02:03:39.0476624Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_nearest_cpu_float32 PASSED [ 62%]
2022-11-23T02:03:39.0477071Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_nearest_cpu_float64 PASSED [ 62%]
2022-11-23T02:03:39.0477759Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_trilinear_cpu_float32 PASSED [ 62%]
2022-11-23T02:03:39.0478233Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_trilinear_cpu_float64 PASSED [ 62%]
2022-11-23T02:03:39.0478684Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_kl_div_cpu_float32 PASSED [ 62%]
2022-11-23T02:03:39.0479110Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_layer_norm_cpu_float32 PASSED [ 62%]
2022-11-23T02:03:39.0479543Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_layer_norm_cpu_float64 PASSED [ 62%]
2022-11-23T02:03:39.0479975Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_leaky_relu_cpu_float32 PASSED [ 63%]
2022-11-23T02:03:39.0480411Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_leaky_relu_cpu_float64 PASSED [ 63%]
2022-11-23T02:03:39.0480830Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_linear_cpu_float64 PASSED [ 63%]
2022-11-23T02:03:39.0481262Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_linear_cpu_int32 PASSED [ 63%]
2022-11-23T02:03:39.0481704Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_local_response_norm_cpu_float32 PASSED [ 63%]
2022-11-23T02:03:39.0482159Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_local_response_norm_cpu_float64 PASSED [ 63%]
2022-11-23T02:03:39.0482593Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_local_response_norm_cpu_int64 PASSED [ 63%]
2022-11-23T02:03:39.0483045Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_margin_ranking_loss_cpu_float64 PASSED [ 63%]
2022-11-23T02:03:39.0483499Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_margin_ranking_loss_cpu_int32 PASSED [ 63%]
2022-11-23T02:03:39.0483947Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_margin_ranking_loss_cpu_int64 PASSED [ 63%]
2022-11-23T02:03:39.0484376Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool1d_cpu_float32 PASSED [ 63%]
2022-11-23T02:03:39.0484810Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool2d_cpu_float32 PASSED [ 63%]
2022-11-23T02:03:39.0485242Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool3d_cpu_float64 PASSED [ 63%]
2022-11-23T02:03:39.0485681Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool1d_cpu_float64 PASSED [ 63%]
2022-11-23T02:03:39.0486183Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool1d_grad_cpu_float32 PASSED [ 64%]
2022-11-23T02:03:39.0486699Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool1d_grad_cpu_float64 PASSED [ 64%]
2022-11-23T02:03:39.0487144Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool2d_cpu_float32 PASSED [ 64%]
2022-11-23T02:03:39.0487590Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool2d_grad_cpu_float32 PASSED [ 64%]
2022-11-23T02:03:39.0488022Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool3d_cpu_float64 PASSED [ 64%]
2022-11-23T02:03:39.0488466Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool3d_grad_cpu_float64 PASSED [ 64%]
2022-11-23T02:03:39.0488907Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_mish_cpu_float32 PASSED [ 64%]
2022-11-23T02:03:39.0489339Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_mish_cpu_float64 PASSED [ 64%]
2022-11-23T02:03:39.0489765Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_multi_margin_loss_cpu_float32 PASSED [ 64%]
2022-11-23T02:03:39.0490219Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_multilabel_margin_loss_cpu_float32 PASSED [ 64%]
2022-11-23T02:03:39.0490674Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_normalize_cpu_float32 PASSED [ 64%]
2022-11-23T02:03:39.0491112Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_normalize_cpu_float64 PASSED [ 64%]
2022-11-23T02:03:39.0491538Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_circular_cpu_bool PASSED [ 64%]
2022-11-23T02:03:39.0491980Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_circular_cpu_float64 PASSED [ 65%]
2022-11-23T02:03:39.0492422Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_circular_cpu_int32 PASSED [ 65%]
2022-11-23T02:03:39.0492861Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_circular_cpu_int64 PASSED [ 65%]
2022-11-23T02:03:39.0493285Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_constant_cpu_bool PASSED [ 65%]
2022-11-23T02:03:39.0493727Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_constant_cpu_float32 PASSED [ 65%]
2022-11-23T02:03:39.0494167Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_constant_cpu_float64 PASSED [ 65%]
2022-11-23T02:03:39.0494602Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_constant_cpu_int32 PASSED [ 65%]
2022-11-23T02:03:39.0495047Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pairwise_distance_cpu_float32 PASSED [ 65%]
2022-11-23T02:03:39.0495484Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pairwise_distance_cpu_float64 PASSED [ 65%]
2022-11-23T02:03:39.0495925Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pdist_cpu_float32 PASSED [ 65%]
2022-11-23T02:03:39.0496356Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pdist_cpu_float64 PASSED [ 65%]
2022-11-23T02:03:39.0496794Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_shuffle_cpu_float16 PASSED [ 65%]
2022-11-23T02:03:39.0497263Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_shuffle_cpu_float64 PASSED [ 65%]
2022-11-23T02:03:39.0497732Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_shuffle_cpu_int32 PASSED [ 66%]
2022-11-23T02:03:39.0498173Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_shuffle_cpu_int64 PASSED [ 66%]
2022-11-23T02:03:39.0498616Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_float16 PASSED [ 66%]
2022-11-23T02:03:39.0499049Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_int32 PASSED [ 66%]
2022-11-23T02:03:39.0499495Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_poisson_nll_loss_cpu_float32 PASSED [ 66%]
2022-11-23T02:03:39.0499975Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_poisson_nll_loss_cpu_int32 PASSED [ 66%]
2022-11-23T02:03:39.0500419Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_poisson_nll_loss_cpu_int64 PASSED [ 66%]
2022-11-23T02:03:39.0500842Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_prelu_cpu_float32 PASSED [ 66%]
2022-11-23T02:03:39.0501270Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_prelu_cpu_float64 PASSED [ 66%]
2022-11-23T02:03:39.0501782Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu6_cpu_float32 PASSED [ 66%]
2022-11-23T02:03:39.0502210Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu6_cpu_int64 PASSED [ 66%]
2022-11-23T02:03:39.0502624Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu_cpu_float64 PASSED [ 66%]
2022-11-23T02:03:39.0503048Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu_cpu_int64 PASSED [ 66%]
2022-11-23T02:03:39.0503476Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_rrelu_cpu_float32 PASSED [ 67%]
2022-11-23T02:03:39.0503906Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_selu_cpu_float32 PASSED [ 67%]
2022-11-23T02:03:39.0504315Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_selu_cpu_float64 PASSED [ 67%]
2022-11-23T02:03:39.0504741Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_silu_cpu_float32 PASSED [ 67%]
2022-11-23T02:03:39.0505180Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_soft_margin_loss_cpu_float32 PASSED [ 67%]
2022-11-23T02:03:39.0505630Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_soft_margin_loss_cpu_float64 PASSED [ 67%]
2022-11-23T02:03:39.0506056Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softmin_cpu_float32 PASSED [ 67%]
2022-11-23T02:03:39.0506490Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softmin_cpu_float64 PASSED [ 67%]
2022-11-23T02:03:39.0506925Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softshrink_cpu_float32 PASSED [ 67%]
2022-11-23T02:03:39.0507359Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softshrink_cpu_float64 PASSED [ 67%]
2022-11-23T02:03:39.0507782Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softsign_cpu_float32 PASSED [ 67%]
2022-11-23T02:03:39.0508269Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softsign_cpu_int32 PASSED [ 67%]
2022-11-23T02:03:39.0508700Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softsign_cpu_int64 PASSED [ 67%]
2022-11-23T02:03:39.0509166Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_tanhshrink_cpu_float32 PASSED [ 68%]
2022-11-23T02:03:39.0509589Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_tanhshrink_cpu_int32 PASSED [ 68%]
2022-11-23T02:03:39.0510031Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_threshold_cpu_float32 PASSED [ 68%]
2022-11-23T02:03:39.0510467Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_threshold_cpu_float64 PASSED [ 68%]
2022-11-23T02:03:39.0510916Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_loss_cpu_float64 PASSED [ 68%]
2022-11-23T02:03:39.0511355Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_loss_cpu_int64 PASSED [ 68%]
2022-11-23T02:03:39.0511825Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_float32 PASSED [ 68%]
2022-11-23T02:03:39.0512306Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_int32 PASSED [ 68%]
2022-11-23T02:03:39.0512786Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_int64 PASSED [ 68%]
2022-11-23T02:03:39.0513241Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_upsample_nearest_cpu_float64 PASSED [ 68%]
2022-11-23T02:03:39.0513667Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_cpu_bool PASSED [ 68%]
2022-11-23T02:03:39.0514073Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_cpu_int64 PASSED [ 68%]
2022-11-23T02:03:39.0514477Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_cpu_float16 PASSED [ 68%]
2022-11-23T02:03:39.0514862Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_cpu_float32 PASSED [ 69%]
2022-11-23T02:03:39.0515256Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_cpu_float64 PASSED [ 69%]
2022-11-23T02:03:39.0515660Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_fro_cpu_float32 PASSED [ 69%]
2022-11-23T02:03:39.0516065Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_fro_cpu_float64 PASSED [ 69%]
2022-11-23T02:03:39.0516457Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_inf_cpu_float16 PASSED [ 69%]
2022-11-23T02:03:39.0516866Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_normal_cpu_float16 PASSED [ 69%]
2022-11-23T02:03:39.0517468Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_normal_cpu_float32 PASSED [ 69%]
2022-11-23T02:03:39.0517866Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_normal_cpu_float64 PASSED [ 69%]
2022-11-23T02:03:39.0518270Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_cpu_bool PASSED [ 69%]
2022-11-23T02:03:39.0518671Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_cpu_float16 PASSED [ 69%]
2022-11-23T02:03:39.0519072Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_cpu_int64 PASSED [ 69%]
2022-11-23T02:03:39.0519466Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_like_cpu_float16 PASSED [ 69%]
2022-11-23T02:03:39.0519933Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_like_cpu_float32 PASSED [ 69%]
2022-11-23T02:03:39.0520372Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_outer_cpu_float16 PASSED [ 70%]
2022-11-23T02:03:39.0520774Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_outer_cpu_int32 PASSED [ 70%]
2022-11-23T02:03:39.0521170Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pca_lowrank_cpu_float32 PASSED [ 70%]
2022-11-23T02:03:39.0521579Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_int64 PASSED [ 70%]
2022-11-23T02:03:39.0521981Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polar_cpu_float64 PASSED [ 70%]
2022-11-23T02:03:39.0522407Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_bool PASSED [ 70%]
2022-11-23T02:03:39.0522835Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_int32 PASSED [ 70%]
2022-11-23T02:03:39.0523270Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_int64 PASSED [ 70%]
2022-11-23T02:03:39.0523709Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_1_cpu_float64 PASSED [ 70%]
2022-11-23T02:03:39.0524144Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_2_cpu_bool PASSED [ 70%]
2022-11-23T02:03:39.0524565Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_2_cpu_float32 PASSED [ 70%]
2022-11-23T02:03:39.0524997Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_2_cpu_float64 PASSED [ 70%]
2022-11-23T02:03:39.0525432Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_2_cpu_int32 PASSED [ 70%]
2022-11-23T02:03:39.0525864Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_3_cpu_float32 PASSED [ 71%]
2022-11-23T02:03:39.0526287Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_3_cpu_float64 PASSED [ 71%]
2022-11-23T02:03:39.0526735Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_3_cpu_int32 PASSED [ 71%]
2022-11-23T02:03:39.0527165Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_4_cpu_float32 PASSED [ 71%]
2022-11-23T02:03:39.0527598Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_4_cpu_float64 PASSED [ 71%]
2022-11-23T02:03:39.0528010Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_positive_cpu_float32 PASSED [ 71%]
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2022-11-23T02:03:39.0532851Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_qr_cpu_float32 PASSED [ 72%]
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2022-11-23T02:03:39.0534482Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rad2deg_cpu_int32 PASSED [ 72%]
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2022-11-23T02:03:39.0535305Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_cpu_float32 PASSED [ 72%]
2022-11-23T02:03:39.0535701Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_cpu_int64 PASSED [ 72%]
2022-11-23T02:03:39.0536119Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_like_cpu_float32 PASSED [ 72%]
2022-11-23T02:03:39.0536546Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_like_cpu_float64 PASSED [ 72%]
2022-11-23T02:03:39.0536963Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_like_cpu_int64 PASSED [ 73%]
2022-11-23T02:03:39.0537366Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_cpu_float16 PASSED [ 73%]
2022-11-23T02:03:39.0537777Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_cpu_float64 PASSED [ 73%]
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2022-11-23T02:03:39.0539411Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_bool PASSED [ 73%]
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2022-11-23T02:03:39.0540208Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_int32 PASSED [ 73%]
2022-11-23T02:03:39.0540615Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_bool PASSED [ 73%]
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2022-11-23T02:03:39.0541416Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reciprocal_cpu_bool PASSED [ 73%]
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2022-11-23T02:03:39.0542315Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reciprocal_cpu_float32 PASSED [ 74%]
2022-11-23T02:03:39.0542734Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_remainder_cpu_float32 PASSED [ 74%]
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2022-11-23T02:03:39.0543648Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_remainder_cpu_int32 PASSED [ 74%]
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2022-11-23T02:03:39.0544462Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_renorm_cpu_float16 PASSED [ 74%]
2022-11-23T02:03:39.0544862Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_renorm_cpu_float32 PASSED [ 74%]
2022-11-23T02:03:39.0545253Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_cpu_bool PASSED [ 74%]
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2022-11-23T02:03:39.0547699Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_as_cpu_float32 PASSED [ 75%]
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2022-11-23T02:03:39.0549322Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_int64 PASSED [ 75%]
2022-11-23T02:03:39.0549716Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_float16 PASSED [ 75%]
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2022-11-23T02:03:39.0554169Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_neg_cpu_bool PASSED [ 76%]
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2022-11-23T02:03:39.0556249Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_roll_cpu_bool PASSED [ 76%]
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2022-11-23T02:03:39.0557655Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_float64 PASSED [ 76%]
2022-11-23T02:03:39.0558043Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_int32 PASSED [ 76%]
2022-11-23T02:03:39.0558442Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_int64 PASSED [ 77%]
2022-11-23T02:03:39.0558846Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_cpu_float32 PASSED [ 77%]
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2022-11-23T02:03:39.0559652Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_0_cpu_float64 PASSED [ 77%]
2022-11-23T02:03:39.0559860Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_neg_3_cpu_float32 PASSED [ 77%]
2022-11-23T02:03:39.0560071Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_neg_3_cpu_float64 PASSED [ 77%]
2022-11-23T02:03:39.0560265Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_int64 PASSED [ 77%]
2022-11-23T02:03:39.0560467Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scalar_tensor_cpu_bool PASSED [ 77%]
2022-11-23T02:03:39.0560669Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scalar_tensor_cpu_float16 PASSED [ 77%]
2022-11-23T02:03:39.0560868Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scalar_tensor_cpu_float32 PASSED [ 77%]
2022-11-23T02:03:39.0561059Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scalar_tensor_cpu_float64 PASSED [ 77%]
2022-11-23T02:03:39.0561261Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scalar_tensor_cpu_int32 PASSED [ 77%]
2022-11-23T02:03:39.0561465Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scalar_tensor_cpu_int64 PASSED [ 77%]
2022-11-23T02:03:39.0561794Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_add_cpu_bool [W TensorAdvancedIndexing.cpp:1681] Warning: scatter_reduce() is in beta and the API may change at any time. (function operator())
2022-11-23T02:03:39.0561866Z PASSED [ 78%]
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2022-11-23T02:03:39.0562259Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_float64 PASSED [ 78%]
2022-11-23T02:03:39.0562467Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_float32 PASSED [ 78%]
2022-11-23T02:03:39.0562672Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_int64 PASSED [ 78%]
2022-11-23T02:03:39.0562936Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_float32 PASSED [ 78%]
2022-11-23T02:03:39.0563164Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_float64 PASSED [ 78%]
2022-11-23T02:03:39.0563376Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_mean_cpu_float16 PASSED [ 78%]
2022-11-23T02:03:39.0563580Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_mean_cpu_float32 PASSED [ 78%]
2022-11-23T02:03:39.0563784Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_mean_cpu_float64 PASSED [ 78%]
2022-11-23T02:03:39.0563993Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_prod_cpu_float16 PASSED [ 78%]
2022-11-23T02:03:39.0564197Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_prod_cpu_float32 PASSED [ 78%]
2022-11-23T02:03:39.0564401Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_prod_cpu_float64 PASSED [ 78%]
2022-11-23T02:03:39.0564608Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_prod_cpu_int32 PASSED [ 79%]
2022-11-23T02:03:39.0564814Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_prod_cpu_int64 PASSED [ 79%]
2022-11-23T02:03:39.0565020Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_float16 PASSED [ 79%]
2022-11-23T02:03:39.0565210Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_searchsorted_cpu_int64 PASSED [ 79%]
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2022-11-23T02:03:39.0565824Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_bool PASSED [ 79%]
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2022-11-23T02:03:39.0566216Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_float32 PASSED [ 79%]
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2022-11-23T02:03:39.0566803Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_float16 PASSED [ 79%]
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2022-11-23T02:03:39.0567761Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_short_cpu_float64 PASSED [ 80%]
2022-11-23T02:03:39.0567953Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_short_cpu_int32 PASSED [ 80%]
2022-11-23T02:03:39.0568162Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_cosine_cpu_float32 PASSED [ 80%]
2022-11-23T02:03:39.0568415Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_exponential_cpu_float16 PASSED [ 80%]
2022-11-23T02:03:39.0568628Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_exponential_cpu_float32 PASSED [ 80%]
2022-11-23T02:03:39.0568867Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_gaussian_cpu_float32 PASSED [ 80%]
2022-11-23T02:03:39.0569068Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_kaiser_cpu_float16 PASSED [ 80%]
2022-11-23T02:03:39.0569265Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signbit_cpu_float16 PASSED [ 80%]
2022-11-23T02:03:39.0569457Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signbit_cpu_float32 PASSED [ 80%]
2022-11-23T02:03:39.0569647Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signbit_cpu_float64 PASSED [ 80%]
2022-11-23T02:03:39.0569841Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signbit_cpu_int32 PASSED [ 81%]
2022-11-23T02:03:39.0570033Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_float32 PASSED [ 81%]
2022-11-23T02:03:39.0570225Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_int64 PASSED [ 81%]
2022-11-23T02:03:39.0570415Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_bool PASSED [ 81%]
2022-11-23T02:03:39.0570608Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_float64 PASSED [ 81%]
2022-11-23T02:03:39.0570797Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinh_cpu_bool PASSED [ 81%]
2022-11-23T02:03:39.0570976Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinh_cpu_float32 PASSED [ 81%]
2022-11-23T02:03:39.0571168Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_bool PASSED [ 81%]
2022-11-23T02:03:39.0571361Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_float16 PASSED [ 81%]
2022-11-23T02:03:39.0571558Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_float64 PASSED [ 81%]
2022-11-23T02:03:39.0571756Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_bool PASSED [ 81%]
2022-11-23T02:03:39.0571957Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_float16 PASSED [ 81%]
2022-11-23T02:03:39.0572157Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_float32 PASSED [ 81%]
2022-11-23T02:03:39.0572354Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_int32 PASSED [ 81%]
2022-11-23T02:03:39.0572552Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_cpu_float32 PASSED [ 82%]
2022-11-23T02:03:39.0572732Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_cpu_float64 PASSED [ 82%]
2022-11-23T02:03:39.0572940Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_float64 PASSED [ 82%]
2022-11-23T02:03:39.0573148Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_int32 PASSED [ 82%]
2022-11-23T02:03:39.0573352Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_int64 PASSED [ 82%]
2022-11-23T02:03:39.0573543Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_bool PASSED [ 82%]
2022-11-23T02:03:39.0573734Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_float64 PASSED [ 82%]
2022-11-23T02:03:39.0573966Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_int32 PASSED [ 82%]
2022-11-23T02:03:39.0574177Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sparse_sampled_addmm_cpu_float64 PASSED [ 82%]
2022-11-23T02:03:39.0574404Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_airy_ai_cpu_float64 PASSED [ 82%]
2022-11-23T02:03:39.0574611Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j1_cpu_float64 PASSED [ 82%]
2022-11-23T02:03:39.0574803Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j1_cpu_int64 PASSED [ 82%]
2022-11-23T02:03:39.0575004Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y0_cpu_float32 PASSED [ 82%]
2022-11-23T02:03:39.0575206Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y1_cpu_int32 PASSED [ 83%]
2022-11-23T02:03:39.0575429Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_t_cpu_bool PASSED [ 83%]
2022-11-23T02:03:39.0575653Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_t_cpu_float32 PASSED [ 83%]
2022-11-23T02:03:39.0575874Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_t_cpu_float64 PASSED [ 83%]
2022-11-23T02:03:39.0576094Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_t_cpu_int32 PASSED [ 83%]
2022-11-23T02:03:39.0576313Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_u_cpu_float64 PASSED [ 83%]
2022-11-23T02:03:39.0576531Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_u_cpu_int64 PASSED [ 83%]
2022-11-23T02:03:39.0577070Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_bool SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 83%]
2022-11-23T02:03:39.0577482Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 83%]
2022-11-23T02:03:39.0577888Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_int32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 83%]
2022-11-23T02:03:39.0578292Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_w_cpu_int32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 83%]
2022-11-23T02:03:39.0578495Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_entr_cpu_bool PASSED [ 83%]
2022-11-23T02:03:39.0578701Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_entr_cpu_float64 PASSED [ 83%]
2022-11-23T02:03:39.0578902Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_entr_cpu_int32 PASSED [ 84%]
2022-11-23T02:03:39.0579105Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_erfcx_cpu_bool PASSED [ 84%]
2022-11-23T02:03:39.0579307Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_erfcx_cpu_float64 PASSED [ 84%]
2022-11-23T02:03:39.0579508Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_erfcx_cpu_int32 PASSED [ 84%]
2022-11-23T02:03:39.0579707Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_erfcx_cpu_int64 PASSED [ 84%]
2022-11-23T02:03:39.0579926Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_h_cpu_bool PASSED [ 84%]
2022-11-23T02:03:39.0580164Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_h_cpu_float32 PASSED [ 84%]
2022-11-23T02:03:39.0580407Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_h_cpu_int32 PASSED [ 84%]
2022-11-23T02:03:39.0580628Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_he_cpu_float64 PASSED [ 84%]
2022-11-23T02:03:39.0580827Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i0e_cpu_float32 PASSED [ 84%]
2022-11-23T02:03:39.0581021Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i0e_cpu_int64 PASSED [ 84%]
2022-11-23T02:03:39.0581217Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1_cpu_bool PASSED [ 84%]
2022-11-23T02:03:39.0581412Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1e_cpu_bool PASSED [ 84%]
2022-11-23T02:03:39.0581689Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1e_cpu_float32 PASSED [ 85%]
2022-11-23T02:03:39.0581887Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1e_cpu_int32 PASSED [ 85%]
2022-11-23T02:03:39.0582109Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_laguerre_polynomial_l_cpu_float32 PASSED [ 85%]
2022-11-23T02:03:39.0582319Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_laguerre_polynomial_l_cpu_float64 PASSED [ 85%]
2022-11-23T02:03:39.0582535Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_laguerre_polynomial_l_cpu_int64 PASSED [ 85%]
2022-11-23T02:03:39.0582962Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_legendre_polynomial_p_cpu_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 85%]
2022-11-23T02:03:39.0583383Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_legendre_polynomial_p_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 85%]
2022-11-23T02:03:39.0583591Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_log_ndtr_cpu_bool PASSED [ 85%]
2022-11-23T02:03:39.0583804Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i0_cpu_bool PASSED [ 85%]
2022-11-23T02:03:39.0584021Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i0_cpu_float32 PASSED [ 85%]
2022-11-23T02:03:39.0584233Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i0_cpu_int64 PASSED [ 85%]
2022-11-23T02:03:39.0584446Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i1_cpu_float32 PASSED [ 85%]
2022-11-23T02:03:39.0584662Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i1_cpu_int32 PASSED [ 85%]
2022-11-23T02:03:39.0584878Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k0_cpu_bool PASSED [ 86%]
2022-11-23T02:03:39.0585080Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k1_cpu_float32 PASSED [ 86%]
2022-11-23T02:03:39.0585288Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k1_cpu_float64 PASSED [ 86%]
2022-11-23T02:03:39.0585501Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k1_cpu_int64 PASSED [ 86%]
2022-11-23T02:03:39.0585700Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtr_cpu_bool PASSED [ 86%]
2022-11-23T02:03:39.0585935Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtri_cpu_float32 PASSED [ 86%]
2022-11-23T02:03:39.0586138Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtri_cpu_int32 PASSED [ 86%]
2022-11-23T02:03:39.0586363Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtri_cpu_int64 PASSED [ 86%]
2022-11-23T02:03:39.0586594Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_bool PASSED [ 86%]
2022-11-23T02:03:39.0586826Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_float32 PASSED [ 86%]
2022-11-23T02:03:39.0587052Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_int64 PASSED [ 86%]
2022-11-23T02:03:39.0587267Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k0_cpu_float64 PASSED [ 86%]
2022-11-23T02:03:39.0587485Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k0_cpu_int64 PASSED [ 86%]
2022-11-23T02:03:39.0587706Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k1_cpu_int64 PASSED [ 87%]
2022-11-23T02:03:39.0588156Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%]
2022-11-23T02:03:39.0588586Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%]
2022-11-23T02:03:39.0589008Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_int32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%]
2022-11-23T02:03:39.0589436Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_bool SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%]
2022-11-23T02:03:39.0589859Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%]
2022-11-23T02:03:39.0590288Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%]
2022-11-23T02:03:39.0590711Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_int32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%]
2022-11-23T02:03:39.0591135Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_int64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%]
2022-11-23T02:03:39.0591559Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_bool SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%]
2022-11-23T02:03:39.0591983Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%]
2022-11-23T02:03:39.0592401Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_int64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%]
2022-11-23T02:03:39.0592849Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%]
2022-11-23T02:03:39.0593282Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_int64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 88%]
2022-11-23T02:03:39.0593500Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_bool PASSED [ 88%]
2022-11-23T02:03:39.0593715Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_float32 PASSED [ 88%]
2022-11-23T02:03:39.0593933Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_int64 PASSED [ 88%]
2022-11-23T02:03:39.0594138Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_bool PASSED [ 88%]
2022-11-23T02:03:39.0594345Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_float16 PASSED [ 88%]
2022-11-23T02:03:39.0594553Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_float32 PASSED [ 88%]
2022-11-23T02:03:39.0594756Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_float64 PASSED [ 88%]
2022-11-23T02:03:39.0594963Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_int32 PASSED [ 88%]
2022-11-23T02:03:39.0595163Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_int64 PASSED [ 88%]
2022-11-23T02:03:39.0595344Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_cpu_bool PASSED [ 88%]
2022-11-23T02:03:39.0595541Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_cpu_float32 PASSED [ 88%]
2022-11-23T02:03:39.0595739Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_cpu_int64 PASSED [ 88%]
2022-11-23T02:03:39.0595949Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_float16 PASSED [ 89%]
2022-11-23T02:03:39.0596157Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_float32 PASSED [ 89%]
2022-11-23T02:03:39.0596359Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_int32 PASSED [ 89%]
2022-11-23T02:03:39.0596563Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_bool PASSED [ 89%]
2022-11-23T02:03:39.0596771Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_int64 PASSED [ 89%]
2022-11-23T02:03:39.0596968Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sqrt_cpu_bool PASSED [ 89%]
2022-11-23T02:03:39.0597297Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sqrt_cpu_float32 PASSED [ 89%]
2022-11-23T02:03:39.0597538Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_bool PASSED [ 89%]
2022-11-23T02:03:39.0597736Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_float32 PASSED [ 89%]
2022-11-23T02:03:39.0597932Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_float64 PASSED [ 89%]
2022-11-23T02:03:39.0598129Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_int32 PASSED [ 89%]
2022-11-23T02:03:39.0598323Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_int64 PASSED [ 89%]
2022-11-23T02:03:39.0598516Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_bool PASSED [ 89%]
2022-11-23T02:03:39.0598771Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_float16 PASSED [ 90%]
2022-11-23T02:03:39.0598999Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_float32 PASSED [ 90%]
2022-11-23T02:03:39.0599198Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_int64 PASSED [ 90%]
2022-11-23T02:03:39.0599381Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_float64 PASSED [ 90%]
2022-11-23T02:03:39.0599574Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_int32 PASSED [ 90%]
2022-11-23T02:03:39.0599766Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_int64 PASSED [ 90%]
2022-11-23T02:03:39.0599958Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stft_cpu_float32 PASSED [ 90%]
2022-11-23T02:03:39.0600153Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stft_cpu_float64 PASSED [ 90%]
2022-11-23T02:03:39.0600345Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_int64 PASSED [ 90%]
2022-11-23T02:03:39.0600540Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_bool PASSED [ 90%]
2022-11-23T02:03:39.0600732Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_float16 PASSED [ 90%]
2022-11-23T02:03:39.0600924Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_float64 PASSED [ 90%]
2022-11-23T02:03:39.0601101Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_int64 PASSED [ 90%]
2022-11-23T02:03:39.0601299Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_bool PASSED [ 90%]
2022-11-23T02:03:39.0601501Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_float32 PASSED [ 91%]
2022-11-23T02:03:39.0601698Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_float64 PASSED [ 91%]
2022-11-23T02:03:39.0601892Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_svd_cpu_float32 PASSED [ 91%]
2022-11-23T02:03:39.0602085Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_svd_cpu_float64 PASSED [ 91%]
2022-11-23T02:03:39.0602289Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_svd_lowrank_cpu_float32 PASSED [ 91%]
2022-11-23T02:03:39.0602489Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_svd_lowrank_cpu_float64 PASSED [ 91%]
2022-11-23T02:03:39.0602687Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_symeig_cpu_float64 PASSED [ 91%]
2022-11-23T02:03:39.0602884Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_float64 PASSED [ 91%]
2022-11-23T02:03:39.0603061Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_int64 PASSED [ 91%]
2022-11-23T02:03:39.0603265Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_bool PASSED [ 91%]
2022-11-23T02:03:39.0603471Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_float16 PASSED [ 91%]
2022-11-23T02:03:39.0603675Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_float32 PASSED [ 91%]
2022-11-23T02:03:39.0603876Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_int64 PASSED [ 91%]
2022-11-23T02:03:39.0604070Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_float16 PASSED [ 92%]
2022-11-23T02:03:39.0604289Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_float32 PASSED [ 92%]
2022-11-23T02:03:39.0604484Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_float64 PASSED [ 92%]
2022-11-23T02:03:39.0604704Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_int32 PASSED [ 92%]
2022-11-23T02:03:39.0604883Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_bool PASSED [ 92%]
2022-11-23T02:03:39.0605075Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_float32 PASSED [ 92%]
2022-11-23T02:03:39.0605266Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_float64 PASSED [ 92%]
2022-11-23T02:03:39.0605457Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_int64 PASSED [ 92%]
2022-11-23T02:03:39.0605648Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tanh_cpu_float32 PASSED [ 92%]
2022-11-23T02:03:39.0605853Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_int32 PASSED [ 92%]
2022-11-23T02:03:39.0606055Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensordot_cpu_float32 PASSED [ 92%]
2022-11-23T02:03:39.0606256Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensordot_cpu_float64 PASSED [ 92%]
2022-11-23T02:03:39.0606453Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensordot_cpu_int32 PASSED [ 92%]
2022-11-23T02:03:39.0606632Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_float32 PASSED [ 93%]
2022-11-23T02:03:39.0606823Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_int64 PASSED [ 93%]
2022-11-23T02:03:39.0607012Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_float64 PASSED [ 93%]
2022-11-23T02:03:39.0607203Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_int64 PASSED [ 93%]
2022-11-23T02:03:39.0607396Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_int32 PASSED [ 93%]
2022-11-23T02:03:39.0607587Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_int64 PASSED [ 93%]
2022-11-23T02:03:39.0607780Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_topk_cpu_float32 PASSED [ 93%]
2022-11-23T02:03:39.0607972Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_topk_cpu_float64 PASSED [ 93%]
2022-11-23T02:03:39.0608161Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_topk_cpu_int32 PASSED [ 93%]
2022-11-23T02:03:39.0608349Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_topk_cpu_int64 PASSED [ 93%]
2022-11-23T02:03:39.0608540Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_float32 PASSED [ 93%]
2022-11-23T02:03:39.0608733Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_int32 PASSED [ 93%]
2022-11-23T02:03:39.0608924Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_int64 PASSED [ 93%]
2022-11-23T02:03:39.0609122Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapezoid_cpu_float16 PASSED [ 94%]
2022-11-23T02:03:39.0609319Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapezoid_cpu_float32 PASSED [ 94%]
2022-11-23T02:03:39.0609520Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapezoid_cpu_float64 PASSED [ 94%]
2022-11-23T02:03:39.0609715Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapezoid_cpu_int32 PASSED [ 94%]
2022-11-23T02:03:39.0609935Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapezoid_cpu_int64 PASSED [ 94%]
2022-11-23T02:03:39.0610126Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapz_cpu_int32 PASSED [ 94%]
2022-11-23T02:03:39.0610351Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triangular_solve_cpu_float32 PASSED [ 94%]
2022-11-23T02:03:39.0610564Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triangular_solve_cpu_float64 PASSED [ 94%]
2022-11-23T02:03:39.0610756Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_float32 PASSED [ 94%]
2022-11-23T02:03:39.0610948Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_float64 PASSED [ 94%]
2022-11-23T02:03:39.0611137Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_int32 PASSED [ 94%]
2022-11-23T02:03:39.0611327Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_int64 PASSED [ 94%]
2022-11-23T02:03:39.0611524Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_indices_cpu_int64 PASSED [ 94%]
2022-11-23T02:03:39.0611718Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_float32 PASSED [ 95%]
2022-11-23T02:03:39.0611916Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_indices_cpu_int64 PASSED [ 95%]
2022-11-23T02:03:39.0612114Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_bool PASSED [ 95%]
2022-11-23T02:03:39.0612302Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_float16 PASSED [ 95%]
2022-11-23T02:03:39.0612504Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_float32 PASSED [ 95%]
2022-11-23T02:03:39.0612704Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_int32 PASSED [ 95%]
2022-11-23T02:03:39.0612895Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_int64 PASSED [ 95%]
2022-11-23T02:03:39.0613090Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trunc_cpu_float32 PASSED [ 95%]
2022-11-23T02:03:39.0613285Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_float16 PASSED [ 95%]
2022-11-23T02:03:39.0613476Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_int32 PASSED [ 95%]
2022-11-23T02:03:39.0613672Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_bool PASSED [ 95%]
2022-11-23T02:03:39.0613869Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_float16 PASSED [ 95%]
2022-11-23T02:03:39.0614050Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_float64 PASSED [ 95%]
2022-11-23T02:03:39.0614248Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_int64 PASSED [ 96%]
2022-11-23T02:03:39.0614450Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_float16 PASSED [ 96%]
2022-11-23T02:03:39.0614642Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_bool PASSED [ 96%]
2022-11-23T02:03:39.0614836Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_float16 PASSED [ 96%]
2022-11-23T02:03:39.0615034Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_uniform_cpu_float32 PASSED [ 96%]
2022-11-23T02:03:39.0615227Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_uniform_cpu_float64 PASSED [ 96%]
2022-11-23T02:03:39.0615434Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_bool PASSED [ 96%]
2022-11-23T02:03:39.0615668Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_bool PASSED [ 96%]
2022-11-23T02:03:39.0615896Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_float64 PASSED [ 96%]
2022-11-23T02:03:39.0616081Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_float64 PASSED [ 96%]
2022-11-23T02:03:39.0616276Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_int32 PASSED [ 96%]
2022-11-23T02:03:39.0616467Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_int64 PASSED [ 96%]
2022-11-23T02:03:39.0616654Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_cpu_float16 PASSED [ 96%]
2022-11-23T02:03:39.0616844Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_cpu_float32 PASSED [ 97%]
2022-11-23T02:03:39.0617044Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_mean_cpu_float16 PASSED [ 97%]
2022-11-23T02:03:39.0617239Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_mean_cpu_float32 PASSED [ 97%]
2022-11-23T02:03:39.0617435Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_mean_cpu_float64 PASSED [ 97%]
2022-11-23T02:03:39.0617623Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_int32 PASSED [ 97%]
2022-11-23T02:03:39.0617800Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_int64 PASSED [ 97%]
2022-11-23T02:03:39.0618005Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_complex_cpu_float16 PASSED [ 97%]
2022-11-23T02:03:39.0618210Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_complex_cpu_float64 PASSED [ 97%]
2022-11-23T02:03:39.0618409Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_float16 PASSED [ 97%]
2022-11-23T02:03:39.0618604Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_float64 PASSED [ 97%]
2022-11-23T02:03:39.0618799Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_int64 PASSED [ 97%]
2022-11-23T02:03:39.0618994Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_bool PASSED [ 97%]
2022-11-23T02:03:39.0619188Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_int32 PASSED [ 97%]
2022-11-23T02:03:39.0619379Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_int64 PASSED [ 98%]
2022-11-23T02:03:39.0619570Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_float16 PASSED [ 98%]
2022-11-23T02:03:39.0619752Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_float32 PASSED [ 98%]
2022-11-23T02:03:39.0619943Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_float64 PASSED [ 98%]
2022-11-23T02:03:39.0620133Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_int32 PASSED [ 98%]
2022-11-23T02:03:39.0620328Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_float64 PASSED [ 98%]
2022-11-23T02:03:39.0620518Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_int32 PASSED [ 98%]
2022-11-23T02:03:39.0620712Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_float32 PASSED [ 98%]
2022-11-23T02:03:39.0620902Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_float64 PASSED [ 98%]
2022-11-23T02:03:39.0621123Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_int32 PASSED [ 98%]
2022-11-23T02:03:39.0621314Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_bool PASSED [ 98%]
2022-11-23T02:03:39.0621611Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_float64 PASSED [ 98%]
2022-11-23T02:03:39.0621809Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_int32 PASSED [ 98%]
2022-11-23T02:03:39.0622004Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_float64 PASSED [ 99%]
2022-11-23T02:03:39.0622195Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_int32 PASSED [ 99%]
2022-11-23T02:03:39.0622383Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_int64 PASSED [ 99%]
2022-11-23T02:03:39.0622576Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_bool PASSED [ 99%]
2022-11-23T02:03:39.0622770Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_float32 PASSED [ 99%]
2022-11-23T02:03:39.0622965Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_float64 PASSED [ 99%]
2022-11-23T02:03:39.0623156Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_int32 PASSED [ 99%]
2022-11-23T02:03:39.0623332Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_int64 PASSED [ 99%]
2022-11-23T02:03:39.0623527Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_float16 PASSED [ 99%]
2022-11-23T02:03:39.0623721Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_float32 PASSED [ 99%]
2022-11-23T02:03:39.0623913Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_float64 PASSED [ 99%]
2022-11-23T02:03:39.0624105Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_int64 PASSED [ 99%]
2022-11-23T02:03:39.0624303Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_bool PASSED [ 99%]
2022-11-23T02:03:39.0624997Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_float32 PASSED [100%]/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py:0: PytestCollectionWarning: cannot collect test class 'TestExpect' because it has a __new__ constructor (from: test/inductor/test_torchinductor_opinfo.py)
2022-11-23T02:03:39.0625008Z 
2022-11-23T02:03:39.0625012Z 
2022-11-23T02:03:39.0625126Z =============================== warnings summary ===============================
2022-11-23T02:03:39.0625346Z ../../../../../opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171
2022-11-23T02:03:39.0625701Z   /opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2022-11-23T02:03:39.0625801Z     self._mark_plugins_for_rewrite(hook)
2022-11-23T02:03:39.0625806Z 
2022-11-23T02:03:39.0626030Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-11-23T02:03:39.0626418Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-932f1afa7339af9c.xml -
2022-11-23T02:03:39.0626550Z ==== 1267 passed, 44 skipped, 2 deselected, 1 warning in 1626.55s (0:27:06) ====
2022-11-23T02:03:39.0626721Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2022-11-23T02:03:39.0626727Z 
2022-11-23T02:03:39.0627122Z ##[endgroup]
2022-11-23T02:03:39.0627470Z FINISHED PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_8zpfaeg0)
2022-11-23T02:03:39.0627511Z 
2022-11-23T02:05:56.8162550Z 
2022-11-23T02:05:56.8162977Z Expand the folded group to see the log file of inductor/test_torchinductor_opinfo
2022-11-23T02:05:56.8166319Z ##[group]PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_k9t011x7)
2022-11-23T02:05:56.8172994Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T02:05:56.8173883Z Test results will be stored in test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-59a573ebc80798b5.xml
2022-11-23T02:05:56.8174460Z ============================= test session starts ==============================
2022-11-23T02:05:56.8175035Z platform linux -- Python 3.7.13, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2022-11-23T02:05:56.8175351Z cachedir: .pytest_cache
2022-11-23T02:05:56.8176011Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2022-11-23T02:05:56.8176522Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-11-23T02:05:56.8226972Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2
2022-11-23T02:05:56.8227554Z collecting ... collected 2709 items / 2 deselected / 2707 selected
2022-11-23T02:05:56.8432496Z Running 1394 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___radd___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___radd___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___radd___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___radd___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rand___cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rand___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmatmul___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmod___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmod___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmul___cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmul___cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmul___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmul___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmul___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___ror___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rpow___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rpow___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rpow___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rsub___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rsub___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rxor___cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__softmax_backward_data_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_abs_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_abs_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_abs_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acos_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acos_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acos_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_add_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addbmm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addbmm_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addcdiv_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addcmul_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_decomposed_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_decomposed_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmv_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addr_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addr_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_all_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_all_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_all_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_all_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_allclose_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_allclose_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amax_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_angle_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_angle_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_angle_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_any_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_any_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_any_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_any_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_arange_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_arange_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_arange_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_arange_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_arange_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argmax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argsort_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argsort_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argsort_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argwhere_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argwhere_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argwhere_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argwhere_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_scatter_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_scatter_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_scatter_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asinh_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asinh_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asinh_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asinh_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asinh_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atanh_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atanh_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atanh_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_1d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_1d_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_2d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_2d_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_3d_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_3d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_baddbmm_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bfloat16_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bfloat16_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bincount_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_and_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_and_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_and_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_left_shift_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_not_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_not_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_or_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_or_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_right_shift_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_block_diag_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_block_diag_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bmm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bmm_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bool_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bool_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_tensors_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_tensors_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_tensors_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_to_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_to_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_to_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_to_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bucketize_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bucketize_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bucketize_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bucketize_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_byte_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_byte_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_byte_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_byte_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cartesian_prod_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cartesian_prod_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cartesian_prod_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cat_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cat_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cat_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cdist_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cdouble_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cdouble_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cdouble_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ceil_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ceil_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cfloat_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cfloat_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cfloat_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chalf_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_char_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_char_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_char_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_char_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_char_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_char_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cholesky_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cholesky_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cholesky_inverse_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cholesky_solve_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chunk_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chunk_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_max_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_max_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_max_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_min_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_min_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_min_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_min_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clone_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clone_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clone_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clone_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clone_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_column_stack_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_column_stack_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_combinations_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_combinations_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_complex_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_complex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_complex_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_physical_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_physical_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_physical_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_physical_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_constant_pad_nd_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_constant_pad_nd_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_constant_pad_nd_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_contiguous_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_contiguous_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_contiguous_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_copysign_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_copysign_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_corrcoef_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_corrcoef_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_corrcoef_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cos_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cos_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cos_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cosh_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cosh_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cosh_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cosh_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_count_nonzero_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_count_nonzero_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_count_nonzero_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cov_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cov_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cross_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cross_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummax_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummax_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumprod_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumprod_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumprod_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumsum_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumsum_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumsum_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumulative_trapezoid_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumulative_trapezoid_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_deg2rad_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_deg2rad_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_deg2rad_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_embed_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_embed_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_embed_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_embed_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_embed_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_copy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_copy_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_copy_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_scatter_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_scatter_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_scatter_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_scatter_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_scatter_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diff_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diff_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diff_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diff_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diff_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_digamma_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_digamma_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_digamma_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dist_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_floor_rounding_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_floor_rounding_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_no_rounding_mode_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_no_rounding_mode_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_trunc_rounding_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_trunc_rounding_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_trunc_rounding_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_trunc_rounding_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_double_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_double_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_double_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_double_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dstack_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_einsum_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_einsum_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_einsum_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_einsum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_like_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_like_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erf_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erf_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erf_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erf_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfc_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfc_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfinv_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfinv_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfinv_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfinv_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftn_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftn_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftn_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfftn_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfftn_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftn_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfftn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfftn_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fliplr_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fliplr_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fliplr_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_divide_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_divide_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_divide_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmod_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_like_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_like_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_like_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_like_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_like_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gcd_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ge_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ge_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ge_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ge_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gradient_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gradient_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gradient_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gradient_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_grid_sampler_2d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_grid_sampler_2d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histc_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histogram_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histogram_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hsplit_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hsplit_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hsplit_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hsplit_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igamma_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igamma_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igamma_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igammac_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igammac_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_inner_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_inner_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_inner_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lcm_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lcm_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lerp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_det_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_det_singular_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_det_singular_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eig_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eig_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigh_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigvals_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigvalsh_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigvalsh_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_inv_ex_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_grad_oriented_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_factor_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_solve_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_norm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_power_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_rank_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_rank_hermitian_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_rank_hermitian_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_hermitian_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_qr_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_slogdet_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_slogdet_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_triangular_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_svd_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_tensorinv_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_tensorsolve_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vecdot_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vecdot_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vector_norm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vector_norm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vector_norm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logaddexp2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logaddexp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logcumsumexp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logcumsumexp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logsumexp_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logsumexp_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logsumexp_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lt_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lt_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lt_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lt_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_solve_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumprod_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumprod_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumprod_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumsum_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumsum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_log_softmax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logaddexp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_median_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_normalize_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_normalize_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_std_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_std_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_std_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_var_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_var_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_var_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_var_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_matmul_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_matrix_exp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_matrix_exp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_binary_cpu_bool, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_median_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_median_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_minimum_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_minimum_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mm_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mm_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mode_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_movedim_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_msort_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_msort_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_msort_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mul_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mul_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mul_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_multinomial_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_multinomial_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mv_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nan_to_num_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nan_to_num_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nan_to_num_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nan_to_num_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmedian_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanquantile_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nansum_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nansum_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nansum_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nansum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_copy_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_copy_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_copy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_batch_norm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_dropout_backward_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_layer_norm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_layer_norm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ne_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ne_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ne_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ne_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_neg_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_neg_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_neg_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_strided_cpu_bool, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_zeros_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_zeros_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_zeros_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_zeros_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_zeros_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_zeros_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_avg_pool1d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_avg_pool2d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_avg_pool3d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_max_pool1d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_max_pool3d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_avg_pool2d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_batch_norm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_bilinear_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_binary_cross_entropy_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv1d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv1d_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv2d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv2d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose1d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose2d_cpu_int64, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rad2deg_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rad2deg_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rand_like_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rand_like_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rand_like_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_like_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_like_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reciprocal_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reciprocal_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reciprocal_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_remainder_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_renorm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_as_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_as_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_as_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize_as__cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize_as__cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize_as__cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_conj_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_neg_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_roll_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_roll_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_roll_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_0_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_3_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_3_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsub_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsub_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsub_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsub_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsub_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_add_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_add_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_add_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_add_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_mean_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_mean_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_prod_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_searchsorted_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_searchsorted_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_searchsorted_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_searchsorted_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_segment_reduce_lengths_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_segment_reduce_lengths_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_segment_reduce_offsets_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_segment_reduce_offsets_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_short_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_short_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sigmoid_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sigmoid_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sigmoid_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sigmoid_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sigmoid_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_cosine_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_cosine_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_exponential_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_gaussian_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_gaussian_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_kaiser_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_kaiser_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signbit_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signbit_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinh_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinh_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinh_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sparse_sampled_addmm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_airy_ai_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_airy_ai_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_airy_ai_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_airy_ai_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j0_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j0_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j0_cpu_float64, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapz_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_indices_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_indices_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trunc_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trunc_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trunc_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_uniform_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_complex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_int64
2022-11-23T02:05:56.8601330Z 
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2022-11-23T02:05:56.8756982Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_float32 PASSED [ 24%]
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2022-11-23T02:05:56.8763669Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_int64 PASSED [ 25%]
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2022-11-23T02:05:56.8766085Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_float32 PASSED [ 26%]
2022-11-23T02:05:56.8766491Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_int32 PASSED [ 26%]
2022-11-23T02:05:56.8766888Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_int64 PASSED [ 26%]
2022-11-23T02:05:56.8767298Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_float64 PASSED [ 26%]
2022-11-23T02:05:56.8767708Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_int32 PASSED [ 26%]
2022-11-23T02:05:56.8768114Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_bool PASSED [ 26%]
2022-11-23T02:05:56.8768513Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_float32 PASSED [ 26%]
2022-11-23T02:05:56.8768963Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_float64 PASSED [ 26%]
2022-11-23T02:05:56.8769402Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_int32 PASSED [ 26%]
2022-11-23T02:05:56.8769812Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_float32 PASSED [ 26%]
2022-11-23T02:05:56.8770213Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_float64 PASSED [ 26%]
2022-11-23T02:05:56.8770619Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_int32 PASSED [ 26%]
2022-11-23T02:05:56.8771020Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_int64 PASSED [ 26%]
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2022-11-23T02:05:56.8771826Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_float32 PASSED [ 27%]
2022-11-23T02:05:56.8772236Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_float64 PASSED [ 27%]
2022-11-23T02:05:56.8772641Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_int32 PASSED [ 27%]
2022-11-23T02:05:56.8773044Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_int64 PASSED [ 27%]
2022-11-23T02:05:56.8773437Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_bool PASSED [ 27%]
2022-11-23T02:05:56.8773847Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_int32 PASSED [ 27%]
2022-11-23T02:05:56.8774250Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_bool PASSED [ 27%]
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2022-11-23T02:05:56.8776656Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_float16 PASSED [ 27%]
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2022-11-23T02:05:56.8779440Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_bool PASSED [ 28%]
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2022-11-23T02:05:56.8781582Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_bool PASSED [ 28%]
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2022-11-23T02:05:56.8784851Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_bool PASSED [ 29%]
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2022-11-23T02:05:56.8807393Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igammac_cpu_float32 PASSED [ 33%]
2022-11-23T02:05:56.8807802Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_float32 PASSED [ 33%]
2022-11-23T02:05:56.8808211Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_float64 PASSED [ 33%]
2022-11-23T02:05:56.8808604Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_int32 PASSED [ 33%]
2022-11-23T02:05:56.8809011Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_float16 PASSED [ 33%]
2022-11-23T02:05:56.8809423Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_float64 PASSED [ 33%]
2022-11-23T02:05:56.8809834Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_int32 PASSED [ 33%]
2022-11-23T02:05:56.8810231Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_int64 PASSED [ 33%]
2022-11-23T02:05:56.8810641Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_float16 PASSED [ 33%]
2022-11-23T02:05:56.8811049Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_float64 PASSED [ 34%]
2022-11-23T02:05:56.8811456Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_float16 PASSED [ 34%]
2022-11-23T02:05:56.8811855Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_int64 PASSED [ 34%]
2022-11-23T02:05:56.8812268Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_float16 PASSED [ 34%]
2022-11-23T02:05:56.8812687Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_float64 PASSED [ 34%]
2022-11-23T02:05:56.8813102Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_bool PASSED [ 34%]
2022-11-23T02:05:56.8813498Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_float16 PASSED [ 34%]
2022-11-23T02:05:56.8813910Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_float32 PASSED [ 34%]
2022-11-23T02:05:56.8814320Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_int32 PASSED [ 34%]
2022-11-23T02:05:56.8814731Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_int64 PASSED [ 34%]
2022-11-23T02:05:56.8815150Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_inner_cpu_float32 PASSED [ 34%]
2022-11-23T02:05:56.8815552Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_inner_cpu_float64 PASSED [ 34%]
2022-11-23T02:05:56.8815981Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_inner_cpu_int32 PASSED [ 34%]
2022-11-23T02:05:56.8816382Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_bool PASSED [ 34%]
2022-11-23T02:05:56.8816766Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_float16 PASSED [ 35%]
2022-11-23T02:05:56.8817159Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_float64 PASSED [ 35%]
2022-11-23T02:05:56.8817557Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_int32 PASSED [ 35%]
2022-11-23T02:05:56.8817944Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_bool PASSED [ 35%]
2022-11-23T02:05:56.8818348Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_bool PASSED [ 35%]
2022-11-23T02:05:56.8818751Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_int32 PASSED [ 35%]
2022-11-23T02:05:56.8819157Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_int64 PASSED [ 35%]
2022-11-23T02:05:56.8819547Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isin_cpu_float32 PASSED [ 35%]
2022-11-23T02:05:56.8819942Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isin_cpu_int32 PASSED [ 35%]
2022-11-23T02:05:56.8820339Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isin_cpu_int64 PASSED [ 35%]
2022-11-23T02:05:56.8820731Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_bool PASSED [ 35%]
2022-11-23T02:05:56.8821117Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_float64 PASSED [ 35%]
2022-11-23T02:05:56.8821604Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_bool PASSED [ 35%]
2022-11-23T02:05:56.8822007Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_float32 PASSED [ 35%]
2022-11-23T02:05:56.8822413Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_float64 PASSED [ 36%]
2022-11-23T02:05:56.8822800Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_int64 PASSED [ 36%]
2022-11-23T02:05:56.8823201Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_bool PASSED [ 36%]
2022-11-23T02:05:56.8823614Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_float16 PASSED [ 36%]
2022-11-23T02:05:56.8824022Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_float32 PASSED [ 36%]
2022-11-23T02:05:56.8824416Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_float64 PASSED [ 36%]
2022-11-23T02:05:56.8824821Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_int32 PASSED [ 36%]
2022-11-23T02:05:56.8825228Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_bool PASSED [ 36%]
2022-11-23T02:05:56.8825624Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_float16 PASSED [ 36%]
2022-11-23T02:05:56.8826030Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_bool PASSED [ 36%]
2022-11-23T02:05:56.8826470Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_float16 SKIPPED (Only runs on cuda) [ 36%]
2022-11-23T02:05:56.8826992Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_float64 SKIPPED (Only runs on cuda) [ 36%]
2022-11-23T02:05:56.8827481Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_int64 SKIPPED (Only runs on cuda) [ 36%]
2022-11-23T02:05:56.8827964Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_bool SKIPPED (Only runs on cuda) [ 36%]
2022-11-23T02:05:56.8828459Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float32 SKIPPED (Only runs on cuda) [ 37%]
2022-11-23T02:05:56.8828953Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_int32 SKIPPED (Only runs on cuda) [ 37%]
2022-11-23T02:05:56.8829426Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_bool SKIPPED (Only runs on cuda) [ 37%]
2022-11-23T02:05:56.8829878Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_float16 SKIPPED (Only runs on cuda) [ 37%]
2022-11-23T02:05:56.8830344Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_int32 SKIPPED (Only runs on cuda) [ 37%]
2022-11-23T02:05:56.8830813Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_bool SKIPPED (Only runs on cuda) [ 37%]
2022-11-23T02:05:56.8831301Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_float16 SKIPPED (Only runs on cuda) [ 37%]
2022-11-23T02:05:56.8831771Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_int32 SKIPPED (Only runs on cuda) [ 37%]
2022-11-23T02:05:56.8832243Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_float16 SKIPPED (Only runs on cuda) [ 37%]
2022-11-23T02:05:56.8832673Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_bool PASSED [ 37%]
2022-11-23T02:05:56.8833070Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_int32 PASSED [ 37%]
2022-11-23T02:05:56.8833454Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_int64 PASSED [ 37%]
2022-11-23T02:05:56.8833860Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_float32 PASSED [ 37%]
2022-11-23T02:05:56.8834274Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_float64 PASSED [ 37%]
2022-11-23T02:05:56.8834686Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_int32 PASSED [ 38%]
2022-11-23T02:05:56.8835078Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lcm_cpu_int32 PASSED [ 38%]
2022-11-23T02:05:56.8835475Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lcm_cpu_int64 PASSED [ 38%]
2022-11-23T02:05:56.8835877Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_float16 PASSED [ 38%]
2022-11-23T02:05:56.8836282Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_float64 PASSED [ 38%]
2022-11-23T02:05:56.8836671Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_int64 PASSED [ 38%]
2022-11-23T02:05:56.8837071Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_bool PASSED [ 38%]
2022-11-23T02:05:56.8837574Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_float16 PASSED [ 38%]
2022-11-23T02:05:56.8837958Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_float64 PASSED [ 38%]
2022-11-23T02:05:56.8838408Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_int32 PASSED [ 38%]
2022-11-23T02:05:56.8838838Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_int64 PASSED [ 38%]
2022-11-23T02:05:56.8839237Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lerp_cpu_float32 PASSED [ 38%]
2022-11-23T02:05:56.8839629Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_float32 PASSED [ 38%]
2022-11-23T02:05:56.8840037Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_float64 PASSED [ 38%]
2022-11-23T02:05:56.8840440Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_int32 PASSED [ 39%]
2022-11-23T02:05:56.8840836Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_int64 PASSED [ 39%]
2022-11-23T02:05:56.8841232Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_float32 PASSED [ 39%]
2022-11-23T02:05:56.8841646Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_float64 PASSED [ 39%]
2022-11-23T02:05:56.8842060Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_int32 PASSED [ 39%]
2022-11-23T02:05:56.8842470Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_det_cpu_float32 PASSED [ 39%]
2022-11-23T02:05:56.8842876Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_det_singular_cpu_float32 PASSED [ 39%]
2022-11-23T02:05:56.8843307Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_det_singular_cpu_float64 PASSED [ 39%]
2022-11-23T02:05:56.8843726Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eig_cpu_float32 PASSED [ 39%]
2022-11-23T02:05:56.8844141Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eig_cpu_float64 PASSED [ 39%]
2022-11-23T02:05:56.8844537Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigh_cpu_float32 PASSED [ 39%]
2022-11-23T02:05:56.8844955Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigvals_cpu_float64 PASSED [ 39%]
2022-11-23T02:05:56.8845374Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigvalsh_cpu_float32 PASSED [ 39%]
2022-11-23T02:05:56.8845797Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigvalsh_cpu_float64 PASSED [ 39%]
2022-11-23T02:05:56.8846201Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_inv_ex_cpu_float64 PASSED [ 40%]
2022-11-23T02:05:56.8846675Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_cpu_float32 SKIPPED (linalg.ldl_factor in torch.float32 not supported) [ 40%]
2022-11-23T02:05:56.8847214Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_cpu_float64 SKIPPED (linalg.ldl_factor in torch.float64 not supported) [ 40%]
2022-11-23T02:05:56.8847686Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_cpu_float32 PASSED [ 40%]
2022-11-23T02:05:56.8848109Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_grad_oriented_cpu_float32 PASSED [ 40%]
2022-11-23T02:05:56.8848535Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_cpu_float32 PASSED [ 40%]
2022-11-23T02:05:56.8848943Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_cpu_float64 PASSED [ 40%]
2022-11-23T02:05:56.8849360Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_factor_cpu_float64 PASSED [ 40%]
2022-11-23T02:05:56.8849801Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_solve_cpu_float64 PASSED [ 40%]
2022-11-23T02:05:56.8850256Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_norm_cpu_float32 PASSED [ 40%]
2022-11-23T02:05:56.8850690Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_power_cpu_float32 PASSED [ 40%]
2022-11-23T02:05:56.8851113Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_rank_cpu_float32 PASSED [ 40%]
2022-11-23T02:05:56.8851538Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_rank_hermitian_cpu_float32 PASSED [ 40%]
2022-11-23T02:05:56.8851984Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_rank_hermitian_cpu_float64 PASSED [ 40%]
2022-11-23T02:05:56.8852418Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_float32 PASSED [ 41%]
2022-11-23T02:05:56.8852838Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_float64 PASSED [ 41%]
2022-11-23T02:05:56.8853244Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_int32 PASSED [ 41%]
2022-11-23T02:05:56.8853664Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_int64 PASSED [ 41%]
2022-11-23T02:05:56.8854076Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_cpu_float32 PASSED [ 41%]
2022-11-23T02:05:56.8854490Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_cpu_float64 PASSED [ 41%]
2022-11-23T02:05:56.8854918Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float16 PASSED [ 41%]
2022-11-23T02:05:56.8855375Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float32 PASSED [ 41%]
2022-11-23T02:05:56.8855813Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_cpu_float64 PASSED [ 41%]
2022-11-23T02:05:56.8856242Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_hermitian_cpu_float32 PASSED [ 41%]
2022-11-23T02:05:56.8856656Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_qr_cpu_float64 PASSED [ 41%]
2022-11-23T02:05:56.8857076Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_slogdet_cpu_float32 PASSED [ 41%]
2022-11-23T02:05:56.8857496Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_slogdet_cpu_float64 PASSED [ 41%]
2022-11-23T02:05:56.8857917Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_cpu_float32 PASSED [ 41%]
2022-11-23T02:05:56.8858334Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_triangular_cpu_float64 PASSED [ 42%]
2022-11-23T02:05:56.8858758Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_svd_cpu_float32 PASSED [ 42%]
2022-11-23T02:05:56.8859177Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_tensorinv_cpu_float64 PASSED [ 42%]
2022-11-23T02:05:56.8859609Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_tensorsolve_cpu_float32 PASSED [ 42%]
2022-11-23T02:05:56.8860019Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_float32 PASSED [ 42%]
2022-11-23T02:05:56.8860438Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_int32 PASSED [ 42%]
2022-11-23T02:05:56.8860889Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vecdot_cpu_float32 PASSED [ 42%]
2022-11-23T02:05:56.8861357Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vecdot_cpu_float64 PASSED [ 42%]
2022-11-23T02:05:56.8861825Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vector_norm_cpu_float16 PASSED [ 42%]
2022-11-23T02:05:56.8862253Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vector_norm_cpu_float32 PASSED [ 42%]
2022-11-23T02:05:56.8862678Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vector_norm_cpu_float64 PASSED [ 42%]
2022-11-23T02:05:56.8863079Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_float32 PASSED [ 42%]
2022-11-23T02:05:56.8863481Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_int32 PASSED [ 42%]
2022-11-23T02:05:56.8863883Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_int64 PASSED [ 42%]
2022-11-23T02:05:56.8864290Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_float32 PASSED [ 43%]
2022-11-23T02:05:56.8864681Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_int32 PASSED [ 43%]
2022-11-23T02:05:56.8865079Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_int64 PASSED [ 43%]
2022-11-23T02:05:56.8865474Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_bool PASSED [ 43%]
2022-11-23T02:05:56.8865874Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_float32 PASSED [ 43%]
2022-11-23T02:05:56.8866257Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_int32 PASSED [ 43%]
2022-11-23T02:05:56.8866647Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_int64 PASSED [ 43%]
2022-11-23T02:05:56.8867055Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_cpu_float32 PASSED [ 43%]
2022-11-23T02:05:56.8867486Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_bool PASSED [ 43%]
2022-11-23T02:05:56.8867906Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_float32 PASSED [ 43%]
2022-11-23T02:05:56.8868343Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_int32 PASSED [ 43%]
2022-11-23T02:05:56.8868773Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_int64 PASSED [ 43%]
2022-11-23T02:05:56.8869192Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logaddexp2_cpu_float32 PASSED [ 43%]
2022-11-23T02:05:56.8869600Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logaddexp_cpu_float32 PASSED [ 43%]
2022-11-23T02:05:56.8870020Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logcumsumexp_cpu_float32 PASSED [ 44%]
2022-11-23T02:05:56.8870447Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logcumsumexp_cpu_float64 PASSED [ 44%]
2022-11-23T02:05:56.8870867Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_float64 PASSED [ 44%]
2022-11-23T02:05:56.8871267Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_int32 PASSED [ 44%]
2022-11-23T02:05:56.8871675Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_bool PASSED [ 44%]
2022-11-23T02:05:56.8872085Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_float16 PASSED [ 44%]
2022-11-23T02:05:56.8872578Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_float32 PASSED [ 44%]
2022-11-23T02:05:56.8873036Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_int32 PASSED [ 44%]
2022-11-23T02:05:56.8873483Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_bool PASSED [ 44%]
2022-11-23T02:05:56.8873902Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_float16 PASSED [ 44%]
2022-11-23T02:05:56.8874301Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_int32 PASSED [ 44%]
2022-11-23T02:05:56.8874710Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_int64 PASSED [ 44%]
2022-11-23T02:05:56.8875113Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_bool PASSED [ 44%]
2022-11-23T02:05:56.8875528Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_float32 PASSED [ 44%]
2022-11-23T02:05:56.8875926Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_float64 PASSED [ 45%]
2022-11-23T02:05:56.8876338Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_int32 PASSED [ 45%]
2022-11-23T02:05:56.8876741Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_int64 PASSED [ 45%]
2022-11-23T02:05:56.8877238Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_float32 PASSED [ 45%]
2022-11-23T02:05:56.8877627Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_float64 PASSED [ 45%]
2022-11-23T02:05:56.8878026Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_int32 PASSED [ 45%]
2022-11-23T02:05:56.8878445Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_cpu_float64 PASSED [ 45%]
2022-11-23T02:05:56.8878856Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_cpu_int32 PASSED [ 45%]
2022-11-23T02:05:56.8879254Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_cpu_int64 PASSED [ 45%]
2022-11-23T02:05:56.8879660Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logsumexp_cpu_bool PASSED [ 45%]
2022-11-23T02:05:56.8880070Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logsumexp_cpu_int32 PASSED [ 45%]
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2022-11-23T02:05:56.8880876Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_float32 PASSED [ 45%]
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2022-11-23T02:05:56.8881667Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_int64 PASSED [ 46%]
2022-11-23T02:05:56.8882053Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lt_cpu_bool PASSED [ 46%]
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2022-11-23T02:05:56.8882839Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lt_cpu_float64 PASSED [ 46%]
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2022-11-23T02:05:56.8883614Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_cpu_float64 PASSED [ 46%]
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2022-11-23T02:05:56.8884504Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_bool PASSED [ 46%]
2022-11-23T02:05:56.8884936Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_float16 PASSED [ 46%]
2022-11-23T02:05:56.8885320Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_bool PASSED [ 46%]
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2022-11-23T02:05:56.8886108Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_float64 PASSED [ 46%]
2022-11-23T02:05:56.8886500Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_int32 PASSED [ 46%]
2022-11-23T02:05:56.8886877Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_int64 PASSED [ 46%]
2022-11-23T02:05:56.8887287Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_float64 PASSED [ 47%]
2022-11-23T02:05:56.8887701Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_int32 PASSED [ 47%]
2022-11-23T02:05:56.8888110Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_int64 PASSED [ 47%]
2022-11-23T02:05:56.8888512Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_float64 PASSED [ 47%]
2022-11-23T02:05:56.8888925Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_int32 PASSED [ 47%]
2022-11-23T02:05:56.8889325Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_int64 PASSED [ 47%]
2022-11-23T02:05:56.8889724Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_float64 PASSED [ 47%]
2022-11-23T02:05:56.8890144Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_int32 PASSED [ 47%]
2022-11-23T02:05:56.8890558Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_int64 PASSED [ 47%]
2022-11-23T02:05:56.8890982Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_float16 PASSED [ 47%]
2022-11-23T02:05:56.8891388Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_float64 PASSED [ 47%]
2022-11-23T02:05:56.8891814Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumprod_cpu_float32 PASSED [ 47%]
2022-11-23T02:05:56.8892237Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumprod_cpu_float64 PASSED [ 47%]
2022-11-23T02:05:56.8892660Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumprod_cpu_int64 PASSED [ 47%]
2022-11-23T02:05:56.8893070Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumsum_cpu_float64 PASSED [ 48%]
2022-11-23T02:05:56.8893488Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumsum_cpu_int64 PASSED [ 48%]
2022-11-23T02:05:56.8893908Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_float32 PASSED [ 48%]
2022-11-23T02:05:56.8894320Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_int64 PASSED [ 48%]
2022-11-23T02:05:56.8894723Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_log_softmax_cpu_float64 PASSED [ 48%]
2022-11-23T02:05:56.8895156Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logaddexp_cpu_float32 PASSED [ 48%]
2022-11-23T02:05:56.8895579Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_float16 PASSED [ 48%]
2022-11-23T02:05:56.8896030Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_float64 PASSED [ 48%]
2022-11-23T02:05:56.8896460Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_int32 PASSED [ 48%]
2022-11-23T02:05:56.8896870Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_int64 PASSED [ 48%]
2022-11-23T02:05:56.8897284Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_median_cpu_float32 PASSED [ 48%]
2022-11-23T02:05:56.8897709Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_normalize_cpu_float16 PASSED [ 48%]
2022-11-23T02:05:56.8898124Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_normalize_cpu_float64 PASSED [ 48%]
2022-11-23T02:05:56.8898542Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_bool PASSED [ 48%]
2022-11-23T02:05:56.8898958Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_float32 PASSED [ 49%]
2022-11-23T02:05:56.8899375Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_bool PASSED [ 49%]
2022-11-23T02:05:56.8899785Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_float16 PASSED [ 49%]
2022-11-23T02:05:56.8900204Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_float32 PASSED [ 49%]
2022-11-23T02:05:56.8900619Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_int32 PASSED [ 49%]
2022-11-23T02:05:56.8901031Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_bool PASSED [ 49%]
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2022-11-23T02:05:56.8902360Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_float64 PASSED [ 49%]
2022-11-23T02:05:56.8902779Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmax_cpu_float32 PASSED [ 49%]
2022-11-23T02:05:56.8903185Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmax_cpu_float64 PASSED [ 49%]
2022-11-23T02:05:56.8903597Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmin_cpu_float32 PASSED [ 49%]
2022-11-23T02:05:56.8904012Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_std_cpu_float32 PASSED [ 49%]
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2022-11-23T02:05:56.8906020Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_var_cpu_float64 PASSED [ 50%]
2022-11-23T02:05:56.8906423Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_var_cpu_int32 PASSED [ 50%]
2022-11-23T02:05:56.8906826Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_matmul_cpu_int32 PASSED [ 50%]
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2022-11-23T02:05:56.8908171Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_binary_cpu_bool PASSED [ 50%]
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2022-11-23T02:05:56.8908990Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_binary_cpu_int32 PASSED [ 50%]
2022-11-23T02:05:56.8909406Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_pool2d_with_indices_backward_cpu_float32 PASSED [ 50%]
2022-11-23T02:05:56.8909849Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_bool PASSED [ 50%]
2022-11-23T02:05:56.8910281Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_float16 PASSED [ 51%]
2022-11-23T02:05:56.8910715Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_float32 PASSED [ 51%]
2022-11-23T02:05:56.8911134Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_float64 PASSED [ 51%]
2022-11-23T02:05:56.8911557Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_int64 PASSED [ 51%]
2022-11-23T02:05:56.8911990Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_float16 PASSED [ 51%]
2022-11-23T02:05:56.8912423Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_float32 PASSED [ 51%]
2022-11-23T02:05:56.8912840Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_int32 PASSED [ 51%]
2022-11-23T02:05:56.8913259Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_maximum_cpu_float16 PASSED [ 51%]
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2022-11-23T02:05:56.8916956Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_int32 PASSED [ 52%]
2022-11-23T02:05:56.8917500Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_bool PASSED [ 52%]
2022-11-23T02:05:56.8917927Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_float16 PASSED [ 52%]
2022-11-23T02:05:56.8918372Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_float64 PASSED [ 52%]
2022-11-23T02:05:56.8918815Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_int64 PASSED [ 52%]
2022-11-23T02:05:56.8919293Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_float16 PASSED [ 52%]
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2022-11-23T02:05:56.8920973Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_int32 PASSED [ 52%]
2022-11-23T02:05:56.8921403Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_bool PASSED [ 52%]
2022-11-23T02:05:56.8921839Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_float16 PASSED [ 52%]
2022-11-23T02:05:56.8922273Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_float64 PASSED [ 53%]
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2022-11-23T02:05:56.8929045Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mv_cpu_float32 PASSED [ 54%]
2022-11-23T02:05:56.8929459Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_float32 PASSED [ 54%]
2022-11-23T02:05:56.8929889Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_int32 PASSED [ 54%]
2022-11-23T02:05:56.8930316Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_int64 PASSED [ 54%]
2022-11-23T02:05:56.8930763Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int32 PASSED [ 54%]
2022-11-23T02:05:56.8931218Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_float64 PASSED [ 54%]
2022-11-23T02:05:56.8931645Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_int64 PASSED [ 54%]
2022-11-23T02:05:56.8932055Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nan_to_num_cpu_float16 PASSED [ 54%]
2022-11-23T02:05:56.8932467Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nan_to_num_cpu_float32 PASSED [ 54%]
2022-11-23T02:05:56.8932871Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nan_to_num_cpu_float64 PASSED [ 54%]
2022-11-23T02:05:56.8933281Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nan_to_num_cpu_int32 PASSED [ 54%]
2022-11-23T02:05:56.8933687Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmedian_cpu_int64 PASSED [ 55%]
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2022-11-23T02:05:56.8936124Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_copy_cpu_float16 PASSED [ 55%]
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2022-11-23T02:05:56.8938561Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_batch_norm_cpu_float32 PASSED [ 55%]
2022-11-23T02:05:56.8939000Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_dropout_backward_cpu_float32 PASSED [ 55%]
2022-11-23T02:05:56.8939433Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_layer_norm_cpu_float32 PASSED [ 56%]
2022-11-23T02:05:56.8939859Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_layer_norm_cpu_float64 PASSED [ 56%]
2022-11-23T02:05:56.8940254Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ne_cpu_bool PASSED [ 56%]
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2022-11-23T02:05:56.8941950Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_neg_cpu_float32 PASSED [ 56%]
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2022-11-23T02:05:56.8943991Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_strided_cpu_bool PASSED [ 56%]
2022-11-23T02:05:56.8944419Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_strided_cpu_float64 PASSED [ 56%]
2022-11-23T02:05:56.8944823Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_full_cpu_bool PASSED [ 56%]
2022-11-23T02:05:56.8945236Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_full_cpu_float16 PASSED [ 57%]
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2022-11-23T02:05:56.8950506Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_avg_pool1d_cpu_float32 PASSED [ 57%]
2022-11-23T02:05:56.8950973Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_avg_pool2d_cpu_float64 PASSED [ 58%]
2022-11-23T02:05:56.8951422Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_avg_pool3d_cpu_float16 PASSED [ 58%]
2022-11-23T02:05:56.8951884Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_max_pool1d_cpu_float32 PASSED [ 58%]
2022-11-23T02:05:56.8952336Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_max_pool3d_cpu_float64 PASSED [ 58%]
2022-11-23T02:05:56.8952787Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_avg_pool2d_cpu_float64 PASSED [ 58%]
2022-11-23T02:05:56.8953213Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_batch_norm_cpu_float64 PASSED [ 58%]
2022-11-23T02:05:56.8953684Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_bilinear_cpu_int32 PASSED [ 58%]
2022-11-23T02:05:56.8954161Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_binary_cross_entropy_cpu_float64 PASSED [ 58%]
2022-11-23T02:05:56.8954634Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_binary_cross_entropy_with_logits_cpu_float32 PASSED [ 58%]
2022-11-23T02:05:56.8955081Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv1d_cpu_float32 PASSED [ 58%]
2022-11-23T02:05:56.8955512Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv1d_cpu_int64 PASSED [ 58%]
2022-11-23T02:05:56.8955943Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv2d_cpu_float32 PASSED [ 58%]
2022-11-23T02:05:56.8956376Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv2d_cpu_float64 PASSED [ 58%]
2022-11-23T02:05:56.8956808Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose1d_cpu_float64 PASSED [ 58%]
2022-11-23T02:05:56.8957393Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose2d_cpu_int64 PASSED [ 59%]
2022-11-23T02:05:56.8957852Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose3d_cpu_float32 PASSED [ 59%]
2022-11-23T02:05:56.8958302Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_conv_transpose3d_cpu_int64 PASSED [ 59%]
2022-11-23T02:05:56.8958741Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cosine_embedding_loss_cpu_bool PASSED [ 59%]
2022-11-23T02:05:56.8959206Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cosine_embedding_loss_cpu_float64 PASSED [ 59%]
2022-11-23T02:05:56.8959671Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cosine_embedding_loss_cpu_int32 PASSED [ 59%]
2022-11-23T02:05:56.8960132Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cosine_embedding_loss_cpu_int64 PASSED [ 59%]
2022-11-23T02:05:56.8960573Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cosine_similarity_cpu_float64 PASSED [ 59%]
2022-11-23T02:05:56.8961023Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cross_entropy_cpu_float32 PASSED [ 59%]
2022-11-23T02:05:56.8961474Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_cross_entropy_cpu_float64 PASSED [ 59%]
2022-11-23T02:05:56.8961920Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_ctc_loss_cpu_float64 PASSED [ 59%]
2022-11-23T02:05:56.8962343Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_dropout2d_cpu_float32 PASSED [ 59%]
2022-11-23T02:05:56.8962784Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_dropout_cpu_float32 PASSED [ 59%]
2022-11-23T02:05:56.8963214Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_elu_cpu_float64 PASSED [ 59%]
2022-11-23T02:05:56.8963654Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_embedding_bag_cpu_float16 PASSED [ 60%]
2022-11-23T02:05:56.8964088Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_embedding_bag_cpu_float64 PASSED [ 60%]
2022-11-23T02:05:56.8964529Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_embedding_cpu_float16 PASSED [ 60%]
2022-11-23T02:05:56.8965073Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_float16 PASSED [ 60%]
2022-11-23T02:05:56.8965608Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_float32 PASSED [ 60%]
2022-11-23T02:05:56.8966091Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_float64 PASSED [ 60%]
2022-11-23T02:05:56.8966578Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_int64 PASSED [ 60%]
2022-11-23T02:05:56.8967057Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_fractional_max_pool2d_cpu_float32 PASSED [ 60%]
2022-11-23T02:05:56.8967524Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_fractional_max_pool2d_cpu_float64 PASSED [ 60%]
2022-11-23T02:05:56.8967989Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_fractional_max_pool3d_cpu_float32 PASSED [ 60%]
2022-11-23T02:05:56.8968436Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_gaussian_nll_loss_cpu_float32 PASSED [ 60%]
2022-11-23T02:05:56.8968887Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_gaussian_nll_loss_cpu_float64 PASSED [ 60%]
2022-11-23T02:05:56.8969324Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_gelu_cpu_float32 PASSED [ 60%]
2022-11-23T02:05:56.8969753Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_gelu_cpu_float64 PASSED [ 60%]
2022-11-23T02:05:56.8970175Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_grid_sample_cpu_float64 PASSED [ 61%]
2022-11-23T02:05:56.8970617Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_group_norm_cpu_float32 PASSED [ 61%]
2022-11-23T02:05:56.8971057Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardshrink_cpu_float64 PASSED [ 61%]
2022-11-23T02:05:56.8971496Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardswish_cpu_float32 PASSED [ 61%]
2022-11-23T02:05:56.8971923Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardtanh_cpu_float32 PASSED [ 61%]
2022-11-23T02:05:56.8972360Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hardtanh_cpu_int32 PASSED [ 61%]
2022-11-23T02:05:56.8972805Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hinge_embedding_loss_cpu_float32 PASSED [ 61%]
2022-11-23T02:05:56.8973266Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_hinge_embedding_loss_cpu_float64 PASSED [ 61%]
2022-11-23T02:05:56.8973703Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_huber_loss_cpu_float32 PASSED [ 61%]
2022-11-23T02:05:56.8974138Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_huber_loss_cpu_float64 PASSED [ 61%]
2022-11-23T02:05:56.8974576Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_instance_norm_cpu_float32 PASSED [ 61%]
2022-11-23T02:05:56.8975016Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_instance_norm_cpu_float64 PASSED [ 61%]
2022-11-23T02:05:56.8975453Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_area_cpu_float32 PASSED [ 61%]
2022-11-23T02:05:56.8975941Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_area_cpu_float64 PASSED [ 61%]
2022-11-23T02:05:56.8976424Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_bilinear_cpu_float32 PASSED [ 62%]
2022-11-23T02:05:56.8976882Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_interpolate_linear_cpu_float64 PASSED [ 62%]
2022-11-23T02:05:56.8977310Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_kl_div_cpu_float64 PASSED [ 62%]
2022-11-23T02:05:56.8977734Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_l1_loss_cpu_float16 PASSED [ 62%]
2022-11-23T02:05:56.8978169Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_l1_loss_cpu_float32 PASSED [ 62%]
2022-11-23T02:05:56.8978599Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_l1_loss_cpu_float64 PASSED [ 62%]
2022-11-23T02:05:56.8979021Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_linear_cpu_float32 PASSED [ 62%]
2022-11-23T02:05:56.8979454Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_linear_cpu_int64 PASSED [ 62%]
2022-11-23T02:05:56.8979889Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_logsigmoid_cpu_float32 PASSED [ 62%]
2022-11-23T02:05:56.8980325Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_logsigmoid_cpu_float64 PASSED [ 62%]
2022-11-23T02:05:56.8980761Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_margin_ranking_loss_cpu_float32 PASSED [ 62%]
2022-11-23T02:05:56.8981285Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool1d_cpu_float64 PASSED [ 62%]
2022-11-23T02:05:56.8981730Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool2d_cpu_float64 PASSED [ 62%]
2022-11-23T02:05:56.8982167Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_pool3d_cpu_float32 PASSED [ 62%]
2022-11-23T02:05:56.8982593Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool1d_cpu_float32 PASSED [ 63%]
2022-11-23T02:05:56.8983035Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool2d_cpu_float64 PASSED [ 63%]
2022-11-23T02:05:56.8983479Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool2d_grad_cpu_float64 PASSED [ 63%]
2022-11-23T02:05:56.8983926Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool3d_cpu_float32 PASSED [ 63%]
2022-11-23T02:05:56.8984360Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_max_unpool3d_grad_cpu_float32 PASSED [ 63%]
2022-11-23T02:05:56.8984807Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_mse_loss_cpu_float16 PASSED [ 63%]
2022-11-23T02:05:56.8985243Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_mse_loss_cpu_float32 PASSED [ 63%]
2022-11-23T02:05:56.8985671Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_mse_loss_cpu_float64 PASSED [ 63%]
2022-11-23T02:05:56.8986101Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_multi_margin_loss_cpu_float64 PASSED [ 63%]
2022-11-23T02:05:56.8986558Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_multilabel_margin_loss_cpu_float64 PASSED [ 63%]
2022-11-23T02:05:56.8987062Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_multilabel_soft_margin_loss_cpu_float32 PASSED [ 63%]
2022-11-23T02:05:56.8987561Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_multilabel_soft_margin_loss_cpu_float64 PASSED [ 63%]
2022-11-23T02:05:56.8988005Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_nll_loss_cpu_float32 PASSED [ 63%]
2022-11-23T02:05:56.8988439Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_nll_loss_cpu_float64 PASSED [ 63%]
2022-11-23T02:05:56.8988865Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_one_hot_cpu_int64 PASSED [ 64%]
2022-11-23T02:05:56.8989303Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_circular_cpu_float16 PASSED [ 64%]
2022-11-23T02:05:56.8989728Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_circular_cpu_float32 PASSED [ 64%]
2022-11-23T02:05:56.8990168Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_constant_cpu_float16 PASSED [ 64%]
2022-11-23T02:05:56.8990610Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_constant_cpu_int64 PASSED [ 64%]
2022-11-23T02:05:56.8991048Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_reflect_cpu_float32 PASSED [ 64%]
2022-11-23T02:05:56.8991473Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_reflect_cpu_float64 PASSED [ 64%]
2022-11-23T02:05:56.8991918Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_replicate_cpu_float32 PASSED [ 64%]
2022-11-23T02:05:56.8992360Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_replicate_cpu_float64 PASSED [ 64%]
2022-11-23T02:05:56.8992813Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pairwise_distance_cpu_float16 PASSED [ 64%]
2022-11-23T02:05:56.8993254Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pairwise_distance_cpu_int32 PASSED [ 64%]
2022-11-23T02:05:56.8993701Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pairwise_distance_cpu_int64 PASSED [ 64%]
2022-11-23T02:05:56.8994141Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_shuffle_cpu_bool PASSED [ 64%]
2022-11-23T02:05:56.8994583Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_shuffle_cpu_float32 PASSED [ 64%]
2022-11-23T02:05:56.8995011Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_bool PASSED [ 65%]
2022-11-23T02:05:56.8995459Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_float32 PASSED [ 65%]
2022-11-23T02:05:56.8995910Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_float64 PASSED [ 65%]
2022-11-23T02:05:56.8996357Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_int64 PASSED [ 65%]
2022-11-23T02:05:56.8996789Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_poisson_nll_loss_cpu_float64 PASSED [ 65%]
2022-11-23T02:05:56.8997329Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu6_cpu_float64 PASSED [ 65%]
2022-11-23T02:05:56.8997761Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu6_cpu_int32 PASSED [ 65%]
2022-11-23T02:05:56.8998244Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu_cpu_float32 PASSED [ 65%]
2022-11-23T02:05:56.8998658Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu_cpu_int32 PASSED [ 65%]
2022-11-23T02:05:56.8999124Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_rrelu_cpu_float64 PASSED [ 65%]
2022-11-23T02:05:56.8999552Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_silu_cpu_float64 PASSED [ 65%]
2022-11-23T02:05:56.8999991Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_smooth_l1_loss_cpu_float16 PASSED [ 65%]
2022-11-23T02:05:56.9000420Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_smooth_l1_loss_cpu_float32 PASSED [ 65%]
2022-11-23T02:05:56.9000860Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_smooth_l1_loss_cpu_float64 PASSED [ 65%]
2022-11-23T02:05:56.9001312Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softmin_with_dtype_cpu_float16 PASSED [ 66%]
2022-11-23T02:05:56.9001769Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softmin_with_dtype_cpu_float32 PASSED [ 66%]
2022-11-23T02:05:56.9002202Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softmin_with_dtype_cpu_float64 PASSED [ 66%]
2022-11-23T02:05:56.9002648Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softmin_with_dtype_cpu_int32 PASSED [ 66%]
2022-11-23T02:05:56.9003090Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softmin_with_dtype_cpu_int64 PASSED [ 66%]
2022-11-23T02:05:56.9003532Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softplus_cpu_float32 PASSED [ 66%]
2022-11-23T02:05:56.9003956Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softplus_cpu_float64 PASSED [ 66%]
2022-11-23T02:05:56.9004392Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softsign_cpu_float16 PASSED [ 66%]
2022-11-23T02:05:56.9004827Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softsign_cpu_float64 PASSED [ 66%]
2022-11-23T02:05:56.9005263Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_tanhshrink_cpu_float64 PASSED [ 66%]
2022-11-23T02:05:56.9005686Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_tanhshrink_cpu_int64 PASSED [ 66%]
2022-11-23T02:05:56.9006117Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_threshold_cpu_int32 PASSED [ 66%]
2022-11-23T02:05:56.9006554Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_threshold_cpu_int64 PASSED [ 66%]
2022-11-23T02:05:56.9006999Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_loss_cpu_float32 PASSED [ 67%]
2022-11-23T02:05:56.9007444Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_loss_cpu_int32 PASSED [ 67%]
2022-11-23T02:05:56.9007911Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_float64 PASSED [ 67%]
2022-11-23T02:05:56.9008367Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_unfold_cpu_float16 PASSED [ 67%]
2022-11-23T02:05:56.9008798Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_unfold_cpu_float32 PASSED [ 67%]
2022-11-23T02:05:56.9009227Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_unfold_cpu_float64 PASSED [ 67%]
2022-11-23T02:05:56.9009689Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_upsample_bilinear_cpu_float32 PASSED [ 67%]
2022-11-23T02:05:56.9010174Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_upsample_bilinear_cpu_float64 PASSED [ 67%]
2022-11-23T02:05:56.9010626Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_upsample_nearest_cpu_float32 PASSED [ 67%]
2022-11-23T02:05:56.9011051Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_cpu_float16 PASSED [ 67%]
2022-11-23T02:05:56.9011448Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_cpu_float32 PASSED [ 67%]
2022-11-23T02:05:56.9011850Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_cpu_float64 PASSED [ 67%]
2022-11-23T02:05:56.9012259Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_cpu_int32 PASSED [ 67%]
2022-11-23T02:05:56.9012651Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_fro_cpu_float16 PASSED [ 67%]
2022-11-23T02:05:56.9013061Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_inf_cpu_float32 PASSED [ 68%]
2022-11-23T02:05:56.9013464Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_inf_cpu_float64 PASSED [ 68%]
2022-11-23T02:05:56.9013865Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_nuc_cpu_float32 PASSED [ 68%]
2022-11-23T02:05:56.9014248Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_nuc_cpu_float64 PASSED [ 68%]
2022-11-23T02:05:56.9014662Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_normal_number_mean_cpu_float16 PASSED [ 68%]
2022-11-23T02:05:56.9015092Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_normal_number_mean_cpu_float32 PASSED [ 68%]
2022-11-23T02:05:56.9015520Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_normal_number_mean_cpu_float64 PASSED [ 68%]
2022-11-23T02:05:56.9015919Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_cpu_float32 PASSED [ 68%]
2022-11-23T02:05:56.9016324Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_cpu_float64 PASSED [ 68%]
2022-11-23T02:05:56.9016722Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_cpu_int32 PASSED [ 68%]
2022-11-23T02:05:56.9017125Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_like_cpu_bool PASSED [ 68%]
2022-11-23T02:05:56.9017520Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_like_cpu_float64 PASSED [ 68%]
2022-11-23T02:05:56.9017937Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_like_cpu_int32 PASSED [ 68%]
2022-11-23T02:05:56.9018341Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_like_cpu_int64 PASSED [ 68%]
2022-11-23T02:05:56.9018752Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ormqr_cpu_float32 PASSED [ 69%]
2022-11-23T02:05:56.9019141Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ormqr_cpu_float64 PASSED [ 69%]
2022-11-23T02:05:56.9019542Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_outer_cpu_bool PASSED [ 69%]
2022-11-23T02:05:56.9019946Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_outer_cpu_float32 PASSED [ 69%]
2022-11-23T02:05:56.9020349Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_outer_cpu_float64 PASSED [ 69%]
2022-11-23T02:05:56.9020767Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_outer_cpu_int64 PASSED [ 69%]
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2022-11-23T02:05:56.9021706Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_bool PASSED [ 69%]
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2022-11-23T02:05:56.9022512Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_float32 PASSED [ 69%]
2022-11-23T02:05:56.9022921Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_float64 PASSED [ 69%]
2022-11-23T02:05:56.9023330Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_int32 PASSED [ 69%]
2022-11-23T02:05:56.9023725Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pinverse_cpu_float32 PASSED [ 69%]
2022-11-23T02:05:56.9024141Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pinverse_cpu_float64 PASSED [ 69%]
2022-11-23T02:05:56.9024555Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polar_cpu_float32 PASSED [ 70%]
2022-11-23T02:05:56.9024983Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_float32 PASSED [ 70%]
2022-11-23T02:05:56.9025410Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_float64 PASSED [ 70%]
2022-11-23T02:05:56.9025854Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_1_cpu_bool PASSED [ 70%]
2022-11-23T02:05:56.9026293Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_1_cpu_float32 PASSED [ 70%]
2022-11-23T02:05:56.9026730Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_1_cpu_int32 PASSED [ 70%]
2022-11-23T02:05:56.9027151Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_1_cpu_int64 PASSED [ 70%]
2022-11-23T02:05:56.9027584Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_2_cpu_int64 PASSED [ 70%]
2022-11-23T02:05:56.9028013Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_3_cpu_bool PASSED [ 70%]
2022-11-23T02:05:56.9028445Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_3_cpu_int64 PASSED [ 70%]
2022-11-23T02:05:56.9028861Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_4_cpu_bool PASSED [ 70%]
2022-11-23T02:05:56.9029290Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_4_cpu_int32 PASSED [ 70%]
2022-11-23T02:05:56.9029720Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_4_cpu_int64 PASSED [ 70%]
2022-11-23T02:05:56.9030140Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_positive_cpu_float16 PASSED [ 70%]
2022-11-23T02:05:56.9030537Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_positive_cpu_int32 PASSED [ 71%]
2022-11-23T02:05:56.9030942Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pow_cpu_float32 PASSED [ 71%]
2022-11-23T02:05:56.9031344Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_prod_cpu_bool PASSED [ 71%]
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2022-11-23T02:05:56.9032127Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_prod_cpu_int64 PASSED [ 71%]
2022-11-23T02:05:56.9032559Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_bool PASSED [ 71%]
2022-11-23T02:05:56.9032979Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_float16 PASSED [ 71%]
2022-11-23T02:05:56.9033377Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_float32 PASSED [ 71%]
2022-11-23T02:05:56.9033763Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_qr_cpu_float64 PASSED [ 71%]
2022-11-23T02:05:56.9034167Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_quantile_cpu_float32 PASSED [ 71%]
2022-11-23T02:05:56.9034574Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rad2deg_cpu_bool PASSED [ 71%]
2022-11-23T02:05:56.9034964Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rad2deg_cpu_float16 PASSED [ 71%]
2022-11-23T02:05:56.9035374Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rand_like_cpu_float16 PASSED [ 71%]
2022-11-23T02:05:56.9035781Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rand_like_cpu_float32 PASSED [ 71%]
2022-11-23T02:05:56.9036187Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rand_like_cpu_float64 PASSED [ 72%]
2022-11-23T02:05:56.9036578Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_cpu_float16 PASSED [ 72%]
2022-11-23T02:05:56.9036984Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_cpu_float64 PASSED [ 72%]
2022-11-23T02:05:56.9037494Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_cpu_int32 PASSED [ 72%]
2022-11-23T02:05:56.9037906Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_like_cpu_float16 PASSED [ 72%]
2022-11-23T02:05:56.9038314Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_like_cpu_int32 PASSED [ 72%]
2022-11-23T02:05:56.9038750Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_cpu_float32 PASSED [ 72%]
2022-11-23T02:05:56.9039157Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_float32 PASSED [ 72%]
2022-11-23T02:05:56.9039557Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_float64 PASSED [ 72%]
2022-11-23T02:05:56.9039945Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_int64 PASSED [ 72%]
2022-11-23T02:05:56.9040139Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_float16 PASSED [ 72%]
2022-11-23T02:05:56.9040333Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_float32 PASSED [ 72%]
2022-11-23T02:05:56.9040529Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_float64 PASSED [ 72%]
2022-11-23T02:05:56.9040721Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_int32 PASSED [ 72%]
2022-11-23T02:05:56.9040924Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reciprocal_cpu_float64 PASSED [ 73%]
2022-11-23T02:05:56.9041121Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reciprocal_cpu_int32 PASSED [ 73%]
2022-11-23T02:05:56.9041313Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reciprocal_cpu_int64 PASSED [ 73%]
2022-11-23T02:05:56.9041501Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_remainder_cpu_float16 PASSED [ 73%]
2022-11-23T02:05:56.9041695Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_renorm_cpu_float64 PASSED [ 73%]
2022-11-23T02:05:56.9041955Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_cpu_int64 PASSED [ 73%]
2022-11-23T02:05:56.9042164Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_bool PASSED [ 73%]
2022-11-23T02:05:56.9042409Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_float16 PASSED [ 73%]
2022-11-23T02:05:56.9042620Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_float32 PASSED [ 73%]
2022-11-23T02:05:56.9042826Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_int32 PASSED [ 73%]
2022-11-23T02:05:56.9043030Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_int64 PASSED [ 73%]
2022-11-23T02:05:56.9043229Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_as_cpu_bool PASSED [ 73%]
2022-11-23T02:05:56.9043432Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_as_cpu_float16 PASSED [ 73%]
2022-11-23T02:05:56.9043617Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_as_cpu_int64 PASSED [ 73%]
2022-11-23T02:05:56.9043815Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_bool PASSED [ 74%]
2022-11-23T02:05:56.9044013Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_float16 PASSED [ 74%]
2022-11-23T02:05:56.9044206Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_float64 PASSED [ 74%]
2022-11-23T02:05:56.9044401Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_int32 PASSED [ 74%]
2022-11-23T02:05:56.9044595Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_bool PASSED [ 74%]
2022-11-23T02:05:56.9044791Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_float64 PASSED [ 74%]
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2022-11-23T02:05:56.9045185Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize_as__cpu_float32 PASSED [ 74%]
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2022-11-23T02:05:56.9045762Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_conj_cpu_bool PASSED [ 74%]
2022-11-23T02:05:56.9045960Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_neg_cpu_float16 PASSED [ 74%]
2022-11-23T02:05:56.9046156Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_roll_cpu_float16 PASSED [ 74%]
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2022-11-23T02:05:56.9046731Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_bool PASSED [ 75%]
2022-11-23T02:05:56.9046924Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_float16 PASSED [ 75%]
2022-11-23T02:05:56.9047116Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_float32 PASSED [ 75%]
2022-11-23T02:05:56.9047298Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_cpu_float64 PASSED [ 75%]
2022-11-23T02:05:56.9047490Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_cpu_int32 PASSED [ 75%]
2022-11-23T02:05:56.9047728Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_0_cpu_float32 PASSED [ 75%]
2022-11-23T02:05:56.9047960Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_3_cpu_float32 PASSED [ 75%]
2022-11-23T02:05:56.9048165Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_3_cpu_float64 PASSED [ 75%]
2022-11-23T02:05:56.9048355Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_bool PASSED [ 75%]
2022-11-23T02:05:56.9048549Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_float32 PASSED [ 75%]
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2022-11-23T02:05:56.9049117Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsub_cpu_float16 PASSED [ 75%]
2022-11-23T02:05:56.9049309Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsub_cpu_float32 PASSED [ 76%]
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2022-11-23T02:05:56.9049874Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsub_cpu_int64 PASSED [ 76%]
2022-11-23T02:05:56.9050075Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_add_cpu_float16 PASSED [ 76%]
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2022-11-23T02:05:56.9050863Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_bool PASSED [ 76%]
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2022-11-23T02:05:56.9051834Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_bool PASSED [ 76%]
2022-11-23T02:05:56.9052042Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_float16 PASSED [ 77%]
2022-11-23T02:05:56.9052252Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_float64 PASSED [ 77%]
2022-11-23T02:05:56.9052457Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_int32 PASSED [ 77%]
2022-11-23T02:05:56.9052664Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_bool PASSED [ 77%]
2022-11-23T02:05:56.9052860Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_float16 PASSED [ 77%]
2022-11-23T02:05:56.9053064Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_int32 PASSED [ 77%]
2022-11-23T02:05:56.9053301Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_int64 PASSED [ 77%]
2022-11-23T02:05:56.9053532Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_mean_cpu_int32 PASSED [ 77%]
2022-11-23T02:05:56.9053737Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_mean_cpu_int64 PASSED [ 77%]
2022-11-23T02:05:56.9053942Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_prod_cpu_bool PASSED [ 77%]
2022-11-23T02:05:56.9054147Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_bool PASSED [ 77%]
2022-11-23T02:05:56.9054354Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_float32 PASSED [ 77%]
2022-11-23T02:05:56.9054564Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_float64 PASSED [ 77%]
2022-11-23T02:05:56.9054766Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_int32 PASSED [ 77%]
2022-11-23T02:05:56.9054959Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_int64 PASSED [ 78%]
2022-11-23T02:05:56.9055160Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_searchsorted_cpu_float16 PASSED [ 78%]
2022-11-23T02:05:56.9055363Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_searchsorted_cpu_float32 PASSED [ 78%]
2022-11-23T02:05:56.9055567Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_searchsorted_cpu_float64 PASSED [ 78%]
2022-11-23T02:05:56.9055765Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_searchsorted_cpu_int32 PASSED [ 78%]
2022-11-23T02:05:56.9055980Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_segment_reduce_lengths_cpu_float32 PASSED [ 78%]
2022-11-23T02:05:56.9056192Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_segment_reduce_lengths_cpu_float64 PASSED [ 78%]
2022-11-23T02:05:56.9056408Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_segment_reduce_offsets_cpu_float16 PASSED [ 78%]
2022-11-23T02:05:56.9056616Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_segment_reduce_offsets_cpu_float64 PASSED [ 78%]
2022-11-23T02:05:56.9056809Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_int32 PASSED [ 78%]
2022-11-23T02:05:56.9056989Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_int64 PASSED [ 78%]
2022-11-23T02:05:56.9057193Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_float16 PASSED [ 78%]
2022-11-23T02:05:56.9057399Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_float32 PASSED [ 78%]
2022-11-23T02:05:56.9057600Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_float64 PASSED [ 78%]
2022-11-23T02:05:56.9057800Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_int32 PASSED [ 79%]
2022-11-23T02:05:56.9058001Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_int64 PASSED [ 79%]
2022-11-23T02:05:56.9058191Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_bool PASSED [ 79%]
2022-11-23T02:05:56.9058385Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_int32 PASSED [ 79%]
2022-11-23T02:05:56.9058576Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_int64 PASSED [ 79%]
2022-11-23T02:05:56.9058799Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_short_cpu_float16 PASSED [ 79%]
2022-11-23T02:05:56.9058979Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_short_cpu_int64 PASSED [ 79%]
2022-11-23T02:05:56.9059236Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sigmoid_cpu_bool PASSED [ 79%]
2022-11-23T02:05:56.9059432Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sigmoid_cpu_float32 PASSED [ 79%]
2022-11-23T02:05:56.9059624Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sigmoid_cpu_float64 PASSED [ 79%]
2022-11-23T02:05:56.9059816Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sigmoid_cpu_int32 PASSED [ 79%]
2022-11-23T02:05:56.9060011Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sigmoid_cpu_int64 PASSED [ 79%]
2022-11-23T02:05:56.9060204Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_bool PASSED [ 79%]
2022-11-23T02:05:56.9060397Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_float16 PASSED [ 79%]
2022-11-23T02:05:56.9060593Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_float32 PASSED [ 80%]
2022-11-23T02:05:56.9060772Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_float64 PASSED [ 80%]
2022-11-23T02:05:56.9060966Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_int32 PASSED [ 80%]
2022-11-23T02:05:56.9061155Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_int64 PASSED [ 80%]
2022-11-23T02:05:56.9061443Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_cosine_cpu_float16 PASSED [ 80%]
2022-11-23T02:05:56.9061659Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_cosine_cpu_float64 PASSED [ 80%]
2022-11-23T02:05:56.9061877Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_exponential_cpu_float64 PASSED [ 80%]
2022-11-23T02:05:56.9062094Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_gaussian_cpu_float16 PASSED [ 80%]
2022-11-23T02:05:56.9062303Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_gaussian_cpu_float64 PASSED [ 80%]
2022-11-23T02:05:56.9062512Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_kaiser_cpu_float32 PASSED [ 80%]
2022-11-23T02:05:56.9062723Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_kaiser_cpu_float64 PASSED [ 80%]
2022-11-23T02:05:56.9062904Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signbit_cpu_bool PASSED [ 80%]
2022-11-23T02:05:56.9063100Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signbit_cpu_int64 PASSED [ 80%]
2022-11-23T02:05:56.9063293Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_bool PASSED [ 80%]
2022-11-23T02:05:56.9063487Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_float64 PASSED [ 81%]
2022-11-23T02:05:56.9063677Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_int32 PASSED [ 81%]
2022-11-23T02:05:56.9063869Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_float32 PASSED [ 81%]
2022-11-23T02:05:56.9064059Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_int32 PASSED [ 81%]
2022-11-23T02:05:56.9064248Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_int64 PASSED [ 81%]
2022-11-23T02:05:56.9064473Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinh_cpu_float64 PASSED [ 81%]
2022-11-23T02:05:56.9064652Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinh_cpu_int32 PASSED [ 81%]
2022-11-23T02:05:56.9064882Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinh_cpu_int64 PASSED [ 81%]
2022-11-23T02:05:56.9065077Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_float32 PASSED [ 81%]
2022-11-23T02:05:56.9065269Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_int32 PASSED [ 81%]
2022-11-23T02:05:56.9065458Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_int64 PASSED [ 81%]
2022-11-23T02:05:56.9065661Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_float64 PASSED [ 81%]
2022-11-23T02:05:56.9065864Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_int64 PASSED [ 81%]
2022-11-23T02:05:56.9066070Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_bool PASSED [ 81%]
2022-11-23T02:05:56.9066282Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_float16 PASSED [ 82%]
2022-11-23T02:05:56.9066491Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_float32 PASSED [ 82%]
2022-11-23T02:05:56.9066672Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_float16 PASSED [ 82%]
2022-11-23T02:05:56.9066865Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_float32 PASSED [ 82%]
2022-11-23T02:05:56.9067054Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_int64 PASSED [ 82%]
2022-11-23T02:05:56.9067265Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sparse_sampled_addmm_cpu_float32 PASSED [ 82%]
2022-11-23T02:05:56.9067468Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_airy_ai_cpu_bool PASSED [ 82%]
2022-11-23T02:05:56.9067675Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_airy_ai_cpu_float32 PASSED [ 82%]
2022-11-23T02:05:56.9067878Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_airy_ai_cpu_int32 PASSED [ 82%]
2022-11-23T02:05:56.9068080Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_airy_ai_cpu_int64 PASSED [ 82%]
2022-11-23T02:05:56.9068284Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j0_cpu_bool PASSED [ 82%]
2022-11-23T02:05:56.9068478Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j0_cpu_float32 PASSED [ 82%]
2022-11-23T02:05:56.9068683Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j0_cpu_float64 PASSED [ 82%]
2022-11-23T02:05:56.9068891Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j0_cpu_int32 PASSED [ 82%]
2022-11-23T02:05:56.9069097Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j0_cpu_int64 PASSED [ 83%]
2022-11-23T02:05:56.9069298Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j1_cpu_bool PASSED [ 83%]
2022-11-23T02:05:56.9069501Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j1_cpu_float32 PASSED [ 83%]
2022-11-23T02:05:56.9069705Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j1_cpu_int32 PASSED [ 83%]
2022-11-23T02:05:56.9069905Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y0_cpu_bool PASSED [ 83%]
2022-11-23T02:05:56.9070138Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y0_cpu_float64 PASSED [ 83%]
2022-11-23T02:05:56.9070366Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y0_cpu_int32 PASSED [ 83%]
2022-11-23T02:05:56.9070556Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y0_cpu_int64 PASSED [ 83%]
2022-11-23T02:05:56.9070760Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y1_cpu_bool PASSED [ 83%]
2022-11-23T02:05:56.9070963Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y1_cpu_float32 PASSED [ 83%]
2022-11-23T02:05:56.9071164Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y1_cpu_float64 PASSED [ 83%]
2022-11-23T02:05:56.9071364Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y1_cpu_int64 PASSED [ 83%]
2022-11-23T02:05:56.9071586Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_t_cpu_int64 PASSED [ 83%]
2022-11-23T02:05:56.9071808Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_u_cpu_bool PASSED [ 84%]
2022-11-23T02:05:56.9072031Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_u_cpu_float32 PASSED [ 84%]
2022-11-23T02:05:56.9072249Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_u_cpu_int32 PASSED [ 84%]
2022-11-23T02:05:56.9072793Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 84%]
2022-11-23T02:05:56.9073219Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_int64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 84%]
2022-11-23T02:05:56.9073619Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_w_cpu_bool SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 84%]
2022-11-23T02:05:56.9074033Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_w_cpu_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 84%]
2022-11-23T02:05:56.9074448Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 84%]
2022-11-23T02:05:56.9074863Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_w_cpu_int64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 84%]
2022-11-23T02:05:56.9075070Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_entr_cpu_float32 PASSED [ 84%]
2022-11-23T02:05:56.9075273Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_entr_cpu_int64 PASSED [ 84%]
2022-11-23T02:05:56.9075479Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_erfcx_cpu_float32 PASSED [ 84%]
2022-11-23T02:05:56.9075701Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_h_cpu_float64 PASSED [ 84%]
2022-11-23T02:05:56.9075918Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_h_cpu_int64 PASSED [ 84%]
2022-11-23T02:05:56.9076133Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_he_cpu_bool PASSED [ 85%]
2022-11-23T02:05:56.9076385Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_he_cpu_float32 PASSED [ 85%]
2022-11-23T02:05:56.9076620Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_he_cpu_int32 PASSED [ 85%]
2022-11-23T02:05:56.9076841Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_he_cpu_int64 PASSED [ 85%]
2022-11-23T02:05:56.9077044Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i0e_cpu_bool PASSED [ 85%]
2022-11-23T02:05:56.9077357Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i0e_cpu_float64 PASSED [ 85%]
2022-11-23T02:05:56.9077558Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i0e_cpu_int32 PASSED [ 85%]
2022-11-23T02:05:56.9077760Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1_cpu_float32 PASSED [ 85%]
2022-11-23T02:05:56.9077957Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1_cpu_float64 PASSED [ 85%]
2022-11-23T02:05:56.9078157Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1_cpu_int32 PASSED [ 85%]
2022-11-23T02:05:56.9078351Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1_cpu_int64 PASSED [ 85%]
2022-11-23T02:05:56.9078554Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1e_cpu_float64 PASSED [ 85%]
2022-11-23T02:05:56.9078741Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1e_cpu_int64 PASSED [ 85%]
2022-11-23T02:05:56.9078962Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_laguerre_polynomial_l_cpu_bool PASSED [ 85%]
2022-11-23T02:05:56.9079182Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_laguerre_polynomial_l_cpu_int32 PASSED [ 86%]
2022-11-23T02:05:56.9079605Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_legendre_polynomial_p_cpu_bool SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 86%]
2022-11-23T02:05:56.9080023Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_legendre_polynomial_p_cpu_int32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 86%]
2022-11-23T02:05:56.9080433Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_legendre_polynomial_p_cpu_int64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 86%]
2022-11-23T02:05:56.9080641Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_log_ndtr_cpu_float32 PASSED [ 86%]
2022-11-23T02:05:56.9080848Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_log_ndtr_cpu_float64 PASSED [ 86%]
2022-11-23T02:05:56.9081054Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_log_ndtr_cpu_int32 PASSED [ 86%]
2022-11-23T02:05:56.9081260Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_log_ndtr_cpu_int64 PASSED [ 86%]
2022-11-23T02:05:56.9081477Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i0_cpu_float64 PASSED [ 86%]
2022-11-23T02:05:56.9081679Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i0_cpu_int32 PASSED [ 86%]
2022-11-23T02:05:56.9081893Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i1_cpu_bool PASSED [ 86%]
2022-11-23T02:05:56.9082107Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i1_cpu_float64 PASSED [ 86%]
2022-11-23T02:05:56.9082392Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i1_cpu_int64 PASSED [ 86%]
2022-11-23T02:05:56.9082607Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k0_cpu_float32 PASSED [ 86%]
2022-11-23T02:05:56.9082853Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k0_cpu_float64 PASSED [ 87%]
2022-11-23T02:05:56.9083065Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k0_cpu_int32 PASSED [ 87%]
2022-11-23T02:05:56.9083282Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k0_cpu_int64 PASSED [ 87%]
2022-11-23T02:05:56.9083498Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k1_cpu_bool PASSED [ 87%]
2022-11-23T02:05:56.9083710Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k1_cpu_int32 PASSED [ 87%]
2022-11-23T02:05:56.9083903Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtr_cpu_float32 PASSED [ 87%]
2022-11-23T02:05:56.9084105Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtr_cpu_float64 PASSED [ 87%]
2022-11-23T02:05:56.9084307Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtr_cpu_int32 PASSED [ 87%]
2022-11-23T02:05:56.9084503Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtr_cpu_int64 PASSED [ 87%]
2022-11-23T02:05:56.9084695Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtri_cpu_bool PASSED [ 87%]
2022-11-23T02:05:56.9084901Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtri_cpu_float64 PASSED [ 87%]
2022-11-23T02:05:56.9085136Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_float64 PASSED [ 87%]
2022-11-23T02:05:56.9085368Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_int32 PASSED [ 87%]
2022-11-23T02:05:56.9085593Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k0_cpu_bool PASSED [ 87%]
2022-11-23T02:05:56.9085817Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k0_cpu_float32 PASSED [ 88%]
2022-11-23T02:05:56.9086029Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k0_cpu_int32 PASSED [ 88%]
2022-11-23T02:05:56.9086245Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k1_cpu_bool PASSED [ 88%]
2022-11-23T02:05:56.9086469Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k1_cpu_float32 PASSED [ 88%]
2022-11-23T02:05:56.9086697Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k1_cpu_float64 PASSED [ 88%]
2022-11-23T02:05:56.9086920Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k1_cpu_int32 PASSED [ 88%]
2022-11-23T02:05:56.9087357Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_bool SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 88%]
2022-11-23T02:05:56.9087786Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_int64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 88%]
2022-11-23T02:05:56.9088217Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 88%]
2022-11-23T02:05:56.9088713Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_int32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 88%]
2022-11-23T02:05:56.9089141Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_bool SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 88%]
2022-11-23T02:05:56.9089571Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 88%]
2022-11-23T02:05:56.9089993Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_int32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 88%]
2022-11-23T02:05:56.9090214Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_float64 PASSED [ 88%]
2022-11-23T02:05:56.9090420Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_int32 PASSED [ 89%]
2022-11-23T02:05:56.9090623Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_int64 PASSED [ 89%]
2022-11-23T02:05:56.9090822Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_bool PASSED [ 89%]
2022-11-23T02:05:56.9091022Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_float32 PASSED [ 89%]
2022-11-23T02:05:56.9091225Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_float64 PASSED [ 89%]
2022-11-23T02:05:56.9091425Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_int32 PASSED [ 89%]
2022-11-23T02:05:56.9091623Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_cpu_float16 PASSED [ 89%]
2022-11-23T02:05:56.9091818Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_cpu_float64 PASSED [ 89%]
2022-11-23T02:05:56.9092010Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_cpu_int32 PASSED [ 89%]
2022-11-23T02:05:56.9092213Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_bool PASSED [ 89%]
2022-11-23T02:05:56.9092405Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_float64 PASSED [ 89%]
2022-11-23T02:05:56.9092605Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_int64 PASSED [ 89%]
2022-11-23T02:05:56.9092812Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_float16 PASSED [ 89%]
2022-11-23T02:05:56.9093020Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_float32 PASSED [ 89%]
2022-11-23T02:05:56.9093224Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_float64 PASSED [ 90%]
2022-11-23T02:05:56.9093428Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_int32 PASSED [ 90%]
2022-11-23T02:05:56.9093626Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sqrt_cpu_float64 PASSED [ 90%]
2022-11-23T02:05:56.9093819Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sqrt_cpu_int32 PASSED [ 90%]
2022-11-23T02:05:56.9094009Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sqrt_cpu_int64 PASSED [ 90%]
2022-11-23T02:05:56.9094193Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_float16 PASSED [ 90%]
2022-11-23T02:05:56.9094421Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_float64 PASSED [ 90%]
2022-11-23T02:05:56.9094638Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_int32 PASSED [ 90%]
2022-11-23T02:05:56.9094832Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_bool PASSED [ 90%]
2022-11-23T02:05:56.9095022Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_float16 PASSED [ 90%]
2022-11-23T02:05:56.9095216Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_float32 PASSED [ 90%]
2022-11-23T02:05:56.9095408Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_cpu_float16 PASSED [ 90%]
2022-11-23T02:05:56.9095600Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_cpu_float32 PASSED [ 90%]
2022-11-23T02:05:56.9095791Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_cpu_float64 PASSED [ 90%]
2022-11-23T02:05:56.9095992Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_mean_cpu_float16 PASSED [ 91%]
2022-11-23T02:05:56.9096176Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_mean_cpu_float32 PASSED [ 91%]
2022-11-23T02:05:56.9096366Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_mean_cpu_float64 PASSED [ 91%]
2022-11-23T02:05:56.9096556Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_float16 PASSED [ 91%]
2022-11-23T02:05:56.9096747Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_float32 PASSED [ 91%]
2022-11-23T02:05:56.9096934Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_float64 PASSED [ 91%]
2022-11-23T02:05:56.9097126Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_int32 PASSED [ 91%]
2022-11-23T02:05:56.9097314Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_float32 PASSED [ 91%]
2022-11-23T02:05:56.9097505Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_int32 PASSED [ 91%]
2022-11-23T02:05:56.9097706Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_float16 PASSED [ 91%]
2022-11-23T02:05:56.9097891Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_int32 PASSED [ 91%]
2022-11-23T02:05:56.9098087Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_int64 PASSED [ 91%]
2022-11-23T02:05:56.9098283Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_symeig_cpu_float32 PASSED [ 91%]
2022-11-23T02:05:56.9098475Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_bool PASSED [ 91%]
2022-11-23T02:05:56.9098663Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_float16 PASSED [ 92%]
2022-11-23T02:05:56.9098854Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_float32 PASSED [ 92%]
2022-11-23T02:05:56.9099041Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_int32 PASSED [ 92%]
2022-11-23T02:05:56.9099242Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_float64 PASSED [ 92%]
2022-11-23T02:05:56.9099442Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_int32 PASSED [ 92%]
2022-11-23T02:05:56.9099620Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_bool PASSED [ 92%]
2022-11-23T02:05:56.9099843Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_int64 PASSED [ 92%]
2022-11-23T02:05:56.9100029Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_int32 PASSED [ 92%]
2022-11-23T02:05:56.9100245Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tanh_cpu_bool PASSED [ 92%]
2022-11-23T02:05:56.9100439Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tanh_cpu_float64 PASSED [ 92%]
2022-11-23T02:05:56.9100629Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tanh_cpu_int32 PASSED [ 92%]
2022-11-23T02:05:56.9100816Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tanh_cpu_int64 PASSED [ 92%]
2022-11-23T02:05:56.9101013Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_bool PASSED [ 92%]
2022-11-23T02:05:56.9101291Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_float16 PASSED [ 92%]
2022-11-23T02:05:56.9101496Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_float32 PASSED [ 93%]
2022-11-23T02:05:56.9101688Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_float64 PASSED [ 93%]
2022-11-23T02:05:56.9101891Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_int64 PASSED [ 93%]
2022-11-23T02:05:56.9102090Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensordot_cpu_int64 PASSED [ 93%]
2022-11-23T02:05:56.9102283Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_bool PASSED [ 93%]
2022-11-23T02:05:56.9102477Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_float16 PASSED [ 93%]
2022-11-23T02:05:56.9102671Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_float64 PASSED [ 93%]
2022-11-23T02:05:56.9102863Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_int32 PASSED [ 93%]
2022-11-23T02:05:56.9103055Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_bool PASSED [ 93%]
2022-11-23T02:05:56.9103248Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_float16 PASSED [ 93%]
2022-11-23T02:05:56.9103425Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_float32 PASSED [ 93%]
2022-11-23T02:05:56.9103614Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_int32 PASSED [ 93%]
2022-11-23T02:05:56.9103810Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_bool PASSED [ 93%]
2022-11-23T02:05:56.9104010Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_float16 PASSED [ 93%]
2022-11-23T02:05:56.9104207Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_float32 PASSED [ 94%]
2022-11-23T02:05:56.9104403Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_float64 PASSED [ 94%]
2022-11-23T02:05:56.9104600Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trace_cpu_float32 PASSED [ 94%]
2022-11-23T02:05:56.9104797Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trace_cpu_float64 PASSED [ 94%]
2022-11-23T02:05:56.9104988Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trace_cpu_int32 PASSED [ 94%]
2022-11-23T02:05:56.9105168Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trace_cpu_int64 PASSED [ 94%]
2022-11-23T02:05:56.9105365Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_bool PASSED [ 94%]
2022-11-23T02:05:56.9105596Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_float16 PASSED [ 94%]
2022-11-23T02:05:56.9105791Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_float64 PASSED [ 94%]
2022-11-23T02:05:56.9106011Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapz_cpu_float16 PASSED [ 94%]
2022-11-23T02:05:56.9106204Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapz_cpu_float32 PASSED [ 94%]
2022-11-23T02:05:56.9106394Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapz_cpu_float64 PASSED [ 94%]
2022-11-23T02:05:56.9106584Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapz_cpu_int64 PASSED [ 94%]
2022-11-23T02:05:56.9106774Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_bool PASSED [ 94%]
2022-11-23T02:05:56.9106966Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_float16 PASSED [ 95%]
2022-11-23T02:05:56.9107157Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_indices_cpu_int32 PASSED [ 95%]
2022-11-23T02:05:56.9107347Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_bool PASSED [ 95%]
2022-11-23T02:05:56.9107539Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_float16 PASSED [ 95%]
2022-11-23T02:05:56.9107731Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_float64 PASSED [ 95%]
2022-11-23T02:05:56.9107920Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_int32 PASSED [ 95%]
2022-11-23T02:05:56.9108110Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_int64 PASSED [ 95%]
2022-11-23T02:05:56.9108307Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_indices_cpu_int32 PASSED [ 95%]
2022-11-23T02:05:56.9108509Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_float64 PASSED [ 95%]
2022-11-23T02:05:56.9108706Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trunc_cpu_float64 PASSED [ 95%]
2022-11-23T02:05:56.9108887Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trunc_cpu_int32 PASSED [ 95%]
2022-11-23T02:05:56.9109078Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trunc_cpu_int64 PASSED [ 95%]
2022-11-23T02:05:56.9109269Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_bool PASSED [ 95%]
2022-11-23T02:05:56.9109464Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_float32 PASSED [ 95%]
2022-11-23T02:05:56.9109657Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_float64 PASSED [ 96%]
2022-11-23T02:05:56.9109853Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_int64 PASSED [ 96%]
2022-11-23T02:05:56.9110052Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_float32 PASSED [ 96%]
2022-11-23T02:05:56.9110257Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_int32 PASSED [ 96%]
2022-11-23T02:05:56.9110455Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_bool PASSED [ 96%]
2022-11-23T02:05:56.9110642Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_float32 PASSED [ 96%]
2022-11-23T02:05:56.9110840Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_float64 PASSED [ 96%]
2022-11-23T02:05:56.9111035Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_int32 PASSED [ 96%]
2022-11-23T02:05:56.9111259Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_int64 PASSED [ 96%]
2022-11-23T02:05:56.9111452Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_float32 PASSED [ 96%]
2022-11-23T02:05:56.9111671Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_float64 PASSED [ 96%]
2022-11-23T02:05:56.9111864Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_int32 PASSED [ 96%]
2022-11-23T02:05:56.9112056Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_int64 PASSED [ 96%]
2022-11-23T02:05:56.9112251Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_uniform_cpu_float16 PASSED [ 96%]
2022-11-23T02:05:56.9112461Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_float32 PASSED [ 97%]
2022-11-23T02:05:56.9112658Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_float64 PASSED [ 97%]
2022-11-23T02:05:56.9112865Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_int32 PASSED [ 97%]
2022-11-23T02:05:56.9113068Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_int64 PASSED [ 97%]
2022-11-23T02:05:56.9113261Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_float32 PASSED [ 97%]
2022-11-23T02:05:56.9113452Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_int32 PASSED [ 97%]
2022-11-23T02:05:56.9113644Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_int64 PASSED [ 97%]
2022-11-23T02:05:56.9113838Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_bool PASSED [ 97%]
2022-11-23T02:05:56.9114039Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_float16 PASSED [ 97%]
2022-11-23T02:05:56.9114236Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_float32 PASSED [ 97%]
2022-11-23T02:05:56.9114430Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_cpu_float64 PASSED [ 97%]
2022-11-23T02:05:56.9114610Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_float32 PASSED [ 97%]
2022-11-23T02:05:56.9114802Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_float64 PASSED [ 97%]
2022-11-23T02:05:56.9115007Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_complex_cpu_float32 PASSED [ 97%]
2022-11-23T02:05:56.9115199Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_bool PASSED [ 98%]
2022-11-23T02:05:56.9115397Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_float32 PASSED [ 98%]
2022-11-23T02:05:56.9115589Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_int32 PASSED [ 98%]
2022-11-23T02:05:56.9115790Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_float16 PASSED [ 98%]
2022-11-23T02:05:56.9115986Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_float32 PASSED [ 98%]
2022-11-23T02:05:56.9116176Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_float64 PASSED [ 98%]
2022-11-23T02:05:56.9116356Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_bool PASSED [ 98%]
2022-11-23T02:05:56.9116550Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_int64 PASSED [ 98%]
2022-11-23T02:05:56.9116782Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_bool PASSED [ 98%]
2022-11-23T02:05:56.9116979Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_float16 PASSED [ 98%]
2022-11-23T02:05:56.9117321Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_float32 PASSED [ 98%]
2022-11-23T02:05:56.9117517Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_int64 PASSED [ 98%]
2022-11-23T02:05:56.9117710Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_bool PASSED [ 98%]
2022-11-23T02:05:56.9117902Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_float16 PASSED [ 98%]
2022-11-23T02:05:56.9118094Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_int64 PASSED [ 99%]
2022-11-23T02:05:56.9118274Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_float16 PASSED [ 99%]
2022-11-23T02:05:56.9118473Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_float32 PASSED [ 99%]
2022-11-23T02:05:56.9118668Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_int64 PASSED [ 99%]
2022-11-23T02:05:56.9118860Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_bool PASSED [ 99%]
2022-11-23T02:05:56.9119053Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_float16 PASSED [ 99%]
2022-11-23T02:05:56.9119248Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_float32 PASSED [ 99%]
2022-11-23T02:05:56.9119442Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_float16 PASSED [ 99%]
2022-11-23T02:05:56.9119634Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_bool PASSED [ 99%]
2022-11-23T02:05:56.9119828Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_int32 PASSED [ 99%]
2022-11-23T02:05:56.9120029Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_float16 PASSED [ 99%]
2022-11-23T02:05:56.9120211Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_float64 PASSED [ 99%]
2022-11-23T02:05:56.9120408Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_int32 PASSED [ 99%]
2022-11-23T02:05:56.9121096Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_int64 PASSED [100%]/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py:0: PytestCollectionWarning: cannot collect test class 'TestExpect' because it has a __new__ constructor (from: test/inductor/test_torchinductor_opinfo.py)
2022-11-23T02:05:56.9121109Z 
2022-11-23T02:05:56.9121113Z 
2022-11-23T02:05:56.9121229Z =============================== warnings summary ===============================
2022-11-23T02:05:56.9121447Z ../../../../../opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171
2022-11-23T02:05:56.9121808Z   /opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2022-11-23T02:05:56.9121909Z     self._mark_plugins_for_rewrite(hook)
2022-11-23T02:05:56.9121915Z 
2022-11-23T02:05:56.9122156Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-11-23T02:05:56.9122542Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-59a573ebc80798b5.xml -
2022-11-23T02:05:56.9122677Z ==== 1361 passed, 33 skipped, 2 deselected, 1 warning in 1751.81s (0:29:11) ====
2022-11-23T02:05:56.9122846Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2022-11-23T02:05:56.9122908Z 
2022-11-23T02:05:56.9123276Z ##[endgroup]
2022-11-23T02:05:56.9123657Z FINISHED PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_k9t011x7)
2022-11-23T02:05:56.9123663Z 
2022-11-23T02:05:57.5932031Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '-k=_linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:05:57.592711]
2022-11-23T02:06:19.3229470Z 
2022-11-23T02:06:19.3230062Z Expand the folded group to see the log file of inductor/test_torchinductor_opinfo
2022-11-23T02:06:19.3231196Z ##[group]PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_3fglha01)
2022-11-23T02:06:19.3232190Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T02:06:19.3233011Z Test results will be stored in test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-97525fb768e21be3.xml
2022-11-23T02:06:19.3233703Z ============================= test session starts ==============================
2022-11-23T02:06:19.3234154Z platform linux -- Python 3.7.13, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python
2022-11-23T02:06:19.3234409Z cachedir: .pytest_cache
2022-11-23T02:06:19.3234811Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2022-11-23T02:06:19.3235165Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini
2022-11-23T02:06:19.3235590Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2
2022-11-23T02:06:19.3235908Z collecting ... collected 2709 items / 2705 deselected / 4 selected
2022-11-23T02:06:19.3236679Z Running 4 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_ex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_ex_cpu_float64
2022-11-23T02:06:19.3237500Z 
2022-11-23T02:06:19.3237721Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_cpu_float32 PASSED [ 25%]
2022-11-23T02:06:19.3238157Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_cpu_float64 PASSED [ 50%]
2022-11-23T02:06:19.3238587Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_ex_cpu_float32 PASSED [ 75%]
2022-11-23T02:06:19.3239483Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_ex_cpu_float64 PASSED [100%]/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py:0: PytestCollectionWarning: cannot collect test class 'TestExpect' because it has a __new__ constructor (from: test/inductor/test_torchinductor_opinfo.py)
2022-11-23T02:06:19.3239936Z 
2022-11-23T02:06:19.3239941Z 
2022-11-23T02:06:19.3240054Z =============================== warnings summary ===============================
2022-11-23T02:06:19.3240553Z ../../../../../opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171
2022-11-23T02:06:19.3241494Z   /opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis
2022-11-23T02:06:19.3241854Z     self._mark_plugins_for_rewrite(hook)
2022-11-23T02:06:19.3241989Z 
2022-11-23T02:06:19.3242216Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2022-11-23T02:06:19.3242997Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-97525fb768e21be3.xml -
2022-11-23T02:06:19.3243541Z ================ 4 passed, 2705 deselected, 1 warning in 1.27s =================
2022-11-23T02:06:19.3244085Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them
2022-11-23T02:06:19.3244457Z 
2022-11-23T02:06:19.3244780Z ##[endgroup]
2022-11-23T02:06:19.3245255Z FINISHED PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_3fglha01)
2022-11-23T02:06:19.3245510Z 
2022-11-23T02:06:19.3245665Z Running test_modules ... [2022-11-23 02:06:19.323882]
2022-11-23T02:06:19.3246131Z Executing ['/opt/conda/bin/python', '-bb', 'test_modules.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:06:19.324218]
2022-11-23T02:19:20.5034273Z 
2022-11-23T02:19:20.5047635Z Expand the folded group to see the log file of test_modules
2022-11-23T02:19:20.5048622Z ##[group]PRINTING LOG FILE of test_modules (/var/lib/jenkins/workspace/test/test-reports/test_modules_gcweew05)
2022-11-23T02:19:20.5049146Z Test results will be stored in test-reports/python-unittest/test_modules
2022-11-23T02:19:20.5049333Z 
2022-11-23T02:19:20.5049423Z Running tests...
2022-11-23T02:19:20.5067056Z ----------------------------------------------------------------------
2022-11-23T02:19:20.5067685Z   test_check_inplace_nn_ELU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.017s)
2022-11-23T02:19:20.5068084Z   test_check_inplace_nn_ELU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.012s)
2022-11-23T02:19:20.5070062Z   test_check_inplace_nn_Hardswish_cpu_float32 (__main__.TestModuleCPU) ... ok (0.008s)
2022-11-23T02:19:20.5070632Z   test_check_inplace_nn_Hardswish_cpu_float64 (__main__.TestModuleCPU) ... ok (0.008s)
2022-11-23T02:19:20.5071190Z   test_check_inplace_nn_ReLU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.011s)
2022-11-23T02:19:20.5071715Z   test_check_inplace_nn_ReLU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.010s)
2022-11-23T02:19:20.5072307Z   test_cpu_gpu_parity_ao_nn_quantized_MaxPool2d_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5072975Z   test_cpu_gpu_parity_ao_nn_quantized_MaxPool2d_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5073603Z   test_cpu_gpu_parity_nn_AdaptiveAvgPool2d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5074172Z   test_cpu_gpu_parity_nn_AdaptiveAvgPool2d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5074758Z   test_cpu_gpu_parity_nn_AvgPool1d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5075392Z   test_cpu_gpu_parity_nn_AvgPool1d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5075974Z   test_cpu_gpu_parity_nn_BatchNorm2d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5076582Z   test_cpu_gpu_parity_nn_BatchNorm2d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5077420Z   test_cpu_gpu_parity_nn_BatchNorm2d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5078030Z   test_cpu_gpu_parity_nn_BatchNorm2d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5078602Z   test_cpu_gpu_parity_nn_BatchNorm3d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5079203Z   test_cpu_gpu_parity_nn_BatchNorm3d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5079782Z   test_cpu_gpu_parity_nn_BatchNorm3d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5080599Z   test_cpu_gpu_parity_nn_BatchNorm3d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5081142Z   test_cpu_gpu_parity_nn_Bilinear_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5081753Z   test_cpu_gpu_parity_nn_Bilinear_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5082260Z   test_cpu_gpu_parity_nn_Conv1d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.013s)
2022-11-23T02:19:20.5082808Z   test_cpu_gpu_parity_nn_Conv1d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5083305Z   test_cpu_gpu_parity_nn_Conv2d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5083764Z   test_cpu_gpu_parity_nn_Conv2d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5084231Z   test_cpu_gpu_parity_nn_Conv3d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5084746Z   test_cpu_gpu_parity_nn_Conv3d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5085320Z   test_cpu_gpu_parity_nn_ConvTranspose1d_cpu_complex128 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5085898Z   test_cpu_gpu_parity_nn_ConvTranspose1d_cpu_complex32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5086422Z   test_cpu_gpu_parity_nn_ConvTranspose1d_cpu_complex64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5087026Z   test_cpu_gpu_parity_nn_ConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5087566Z   test_cpu_gpu_parity_nn_ConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5088107Z   test_cpu_gpu_parity_nn_ConvTranspose2d_cpu_complex128 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5088600Z   test_cpu_gpu_parity_nn_ConvTranspose2d_cpu_complex32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5089194Z   test_cpu_gpu_parity_nn_ConvTranspose2d_cpu_complex64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5089715Z   test_cpu_gpu_parity_nn_ConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5090208Z   test_cpu_gpu_parity_nn_ConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5090725Z   test_cpu_gpu_parity_nn_ConvTranspose3d_cpu_complex128 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5091280Z   test_cpu_gpu_parity_nn_ConvTranspose3d_cpu_complex32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5091846Z   test_cpu_gpu_parity_nn_ConvTranspose3d_cpu_complex64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5092364Z   test_cpu_gpu_parity_nn_ConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5092949Z   test_cpu_gpu_parity_nn_ConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5093506Z   test_cpu_gpu_parity_nn_CrossEntropyLoss_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5094045Z   test_cpu_gpu_parity_nn_CrossEntropyLoss_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5094601Z   test_cpu_gpu_parity_nn_ELU_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5095091Z   test_cpu_gpu_parity_nn_ELU_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5095560Z   test_cpu_gpu_parity_nn_Embedding_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5096206Z   test_cpu_gpu_parity_nn_Embedding_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5096739Z   test_cpu_gpu_parity_nn_GRUCell_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5097312Z   test_cpu_gpu_parity_nn_GRUCell_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5097849Z   test_cpu_gpu_parity_nn_GRU_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5098347Z   test_cpu_gpu_parity_nn_GRU_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5098810Z   test_cpu_gpu_parity_nn_GRU_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5099290Z   test_cpu_gpu_parity_nn_GRU_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5099873Z   test_cpu_gpu_parity_nn_GaussianNLLLoss_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5100386Z   test_cpu_gpu_parity_nn_GaussianNLLLoss_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5100892Z   test_cpu_gpu_parity_nn_Hardswish_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.005s)
2022-11-23T02:19:20.5118155Z   test_cpu_gpu_parity_nn_Hardswish_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5118756Z   test_cpu_gpu_parity_nn_L1Loss_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5119355Z   test_cpu_gpu_parity_nn_L1Loss_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5119942Z   test_cpu_gpu_parity_nn_LSTMCell_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5120514Z   test_cpu_gpu_parity_nn_LSTMCell_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5121053Z   test_cpu_gpu_parity_nn_LSTM_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5121409Z   test_cpu_gpu_parity_nn_LSTM_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5121777Z   test_cpu_gpu_parity_nn_LSTM_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5122147Z   test_cpu_gpu_parity_nn_LSTM_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5122510Z   test_cpu_gpu_parity_nn_LazyConv1d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5122858Z   test_cpu_gpu_parity_nn_LazyConv1d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5123217Z   test_cpu_gpu_parity_nn_LazyConv2d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5123583Z   test_cpu_gpu_parity_nn_LazyConv2d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5123940Z   test_cpu_gpu_parity_nn_LazyConv3d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5124288Z   test_cpu_gpu_parity_nn_LazyConv3d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5124664Z   test_cpu_gpu_parity_nn_LazyConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5125056Z   test_cpu_gpu_parity_nn_LazyConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5125447Z   test_cpu_gpu_parity_nn_LazyConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5125817Z   test_cpu_gpu_parity_nn_LazyConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5126325Z   test_cpu_gpu_parity_nn_LazyConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5126709Z   test_cpu_gpu_parity_nn_LazyConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5127125Z   test_cpu_gpu_parity_nn_Linear_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5127466Z   test_cpu_gpu_parity_nn_Linear_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5127847Z   test_cpu_gpu_parity_nn_MultiheadAttention_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5128253Z   test_cpu_gpu_parity_nn_MultiheadAttention_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5128660Z   test_cpu_gpu_parity_nn_MultiheadAttention_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5129053Z   test_cpu_gpu_parity_nn_MultiheadAttention_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5129430Z   test_cpu_gpu_parity_nn_NLLLoss_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5129789Z   test_cpu_gpu_parity_nn_NLLLoss_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5130127Z   test_cpu_gpu_parity_nn_RNNCell_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5130473Z   test_cpu_gpu_parity_nn_RNNCell_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5130832Z   test_cpu_gpu_parity_nn_RNN_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5131193Z   test_cpu_gpu_parity_nn_RNN_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5131549Z   test_cpu_gpu_parity_nn_RNN_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5131909Z   test_cpu_gpu_parity_nn_RNN_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5132271Z   test_cpu_gpu_parity_nn_ReLU_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.008s)
2022-11-23T02:19:20.5132622Z   test_cpu_gpu_parity_nn_ReLU_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5132959Z   test_cpu_gpu_parity_nn_Sigmoid_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5133310Z   test_cpu_gpu_parity_nn_Sigmoid_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5133687Z   test_cpu_gpu_parity_nn_TransformerDecoderLayer_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5134088Z   test_cpu_gpu_parity_nn_TransformerDecoderLayer_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5134488Z   test_cpu_gpu_parity_nn_TransformerEncoderLayer_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5134916Z   test_cpu_gpu_parity_nn_TransformerEncoderLayer_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5135339Z   test_cpu_gpu_parity_nn_TransformerEncoderLayer_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5135762Z   test_cpu_gpu_parity_nn_TransformerEncoderLayer_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5136139Z   test_cpu_gpu_parity_nn_Transformer_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5136492Z   test_cpu_gpu_parity_nn_Transformer_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.004s)
2022-11-23T02:19:20.5136879Z   test_factory_kwargs_ao_nn_quantized_MaxPool2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5137225Z   test_factory_kwargs_ao_nn_quantized_MaxPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5137588Z   test_factory_kwargs_nn_AdaptiveAvgPool2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5137934Z   test_factory_kwargs_nn_AdaptiveAvgPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5138260Z   test_factory_kwargs_nn_AvgPool1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5138565Z   test_factory_kwargs_nn_AvgPool1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5138895Z   test_factory_kwargs_nn_BatchNorm2d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5139236Z   test_factory_kwargs_nn_BatchNorm2d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5139578Z   test_factory_kwargs_nn_BatchNorm2d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5139999Z   test_factory_kwargs_nn_BatchNorm2d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5140344Z   test_factory_kwargs_nn_BatchNorm3d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5140686Z   test_factory_kwargs_nn_BatchNorm3d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5141034Z   test_factory_kwargs_nn_BatchNorm3d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5141363Z   test_factory_kwargs_nn_BatchNorm3d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5141689Z   test_factory_kwargs_nn_Bilinear_cpu_float32 (__main__.TestModuleCPU) ... ok (0.007s)
2022-11-23T02:19:20.5142001Z   test_factory_kwargs_nn_Bilinear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.007s)
2022-11-23T02:19:20.5142300Z   test_factory_kwargs_nn_Conv1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.009s)
2022-11-23T02:19:20.5142609Z   test_factory_kwargs_nn_Conv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.008s)
2022-11-23T02:19:20.5142919Z   test_factory_kwargs_nn_Conv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.008s)
2022-11-23T02:19:20.5143228Z   test_factory_kwargs_nn_Conv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.008s)
2022-11-23T02:19:20.5143518Z   test_factory_kwargs_nn_Conv3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.008s)
2022-11-23T02:19:20.5143823Z   test_factory_kwargs_nn_Conv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.009s)
2022-11-23T02:19:20.5144150Z   test_factory_kwargs_nn_ConvTranspose1d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5145581Z   test_factory_kwargs_nn_ConvTranspose1d_cpu_complex32 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_creation.py:151: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.)
2022-11-23T02:19:20.5146266Z   result = torch.empty(shape, device=device, dtype=dtype)
2022-11-23T02:19:20.5146468Z ok (0.006s)
2022-11-23T02:19:20.5146730Z   test_factory_kwargs_nn_ConvTranspose1d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5147069Z   test_factory_kwargs_nn_ConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5147391Z   test_factory_kwargs_nn_ConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5147731Z   test_factory_kwargs_nn_ConvTranspose2d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5148080Z   test_factory_kwargs_nn_ConvTranspose2d_cpu_complex32 (__main__.TestModuleCPU) ... ok (0.007s)
2022-11-23T02:19:20.5148416Z   test_factory_kwargs_nn_ConvTranspose2d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5148739Z   test_factory_kwargs_nn_ConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5149131Z   test_factory_kwargs_nn_ConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5149468Z   test_factory_kwargs_nn_ConvTranspose3d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5149825Z   test_factory_kwargs_nn_ConvTranspose3d_cpu_complex32 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5150163Z   test_factory_kwargs_nn_ConvTranspose3d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5150499Z   test_factory_kwargs_nn_ConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5150831Z   test_factory_kwargs_nn_ConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5151150Z   test_factory_kwargs_nn_CrossEntropyLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.010s)
2022-11-23T02:19:20.5151484Z   test_factory_kwargs_nn_CrossEntropyLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.010s)
2022-11-23T02:19:20.5151806Z   test_factory_kwargs_nn_ELU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5152092Z   test_factory_kwargs_nn_ELU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5152408Z   test_factory_kwargs_nn_Embedding_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5152721Z   test_factory_kwargs_nn_Embedding_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5153036Z   test_factory_kwargs_nn_GRUCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.007s)
2022-11-23T02:19:20.5153332Z   test_factory_kwargs_nn_GRUCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5153646Z   test_factory_kwargs_nn_GRU_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.056s)
2022-11-23T02:19:20.5153964Z   test_factory_kwargs_nn_GRU_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.066s)
2022-11-23T02:19:20.5154272Z   test_factory_kwargs_nn_GRU_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.081s)
2022-11-23T02:19:20.5154593Z   test_factory_kwargs_nn_GRU_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.057s)
2022-11-23T02:19:20.5154919Z   test_factory_kwargs_nn_GaussianNLLLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5159576Z   test_factory_kwargs_nn_GaussianNLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.017s)
2022-11-23T02:19:20.5169658Z   test_factory_kwargs_nn_Hardswish_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5170179Z   test_factory_kwargs_nn_Hardswish_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5170608Z   test_factory_kwargs_nn_L1Loss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5171013Z   test_factory_kwargs_nn_L1Loss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5171436Z   test_factory_kwargs_nn_LSTMCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.007s)
2022-11-23T02:19:20.5171879Z   test_factory_kwargs_nn_LSTMCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.007s)
2022-11-23T02:19:20.5172326Z   test_factory_kwargs_nn_LSTM_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.119s)
2022-11-23T02:19:20.5172752Z   test_factory_kwargs_nn_LSTM_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.120s)
2022-11-23T02:19:20.5173192Z   test_factory_kwargs_nn_LSTM_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.122s)
2022-11-23T02:19:20.5173629Z   test_factory_kwargs_nn_LSTM_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.119s)
2022-11-23T02:19:20.5174666Z   test_factory_kwargs_nn_LazyConv1d_cpu_float32 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5175475Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5175908Z ok (0.010s)
2022-11-23T02:19:20.5176239Z   test_factory_kwargs_nn_LazyConv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.010s)
2022-11-23T02:19:20.5176666Z   test_factory_kwargs_nn_LazyConv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.009s)
2022-11-23T02:19:20.5177135Z   test_factory_kwargs_nn_LazyConv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.010s)
2022-11-23T02:19:20.5178017Z   test_factory_kwargs_nn_LazyConv3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.009s)
2022-11-23T02:19:20.5178436Z   test_factory_kwargs_nn_LazyConv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.010s)
2022-11-23T02:19:20.5178887Z   test_factory_kwargs_nn_LazyConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5179338Z   test_factory_kwargs_nn_LazyConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5179880Z   test_factory_kwargs_nn_LazyConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5180349Z   test_factory_kwargs_nn_LazyConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.007s)
2022-11-23T02:19:20.5180827Z   test_factory_kwargs_nn_LazyConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5181287Z   test_factory_kwargs_nn_LazyConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5181728Z   test_factory_kwargs_nn_Linear_cpu_float32 (__main__.TestModuleCPU) ... ok (0.007s)
2022-11-23T02:19:20.5182149Z   test_factory_kwargs_nn_Linear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.007s)
2022-11-23T02:19:20.5182595Z   test_factory_kwargs_nn_MultiheadAttention_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.139s)
2022-11-23T02:19:20.5183080Z   test_factory_kwargs_nn_MultiheadAttention_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.138s)
2022-11-23T02:19:20.5183572Z   test_factory_kwargs_nn_MultiheadAttention_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.149s)
2022-11-23T02:19:20.5184055Z   test_factory_kwargs_nn_MultiheadAttention_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.139s)
2022-11-23T02:19:20.5184506Z   test_factory_kwargs_nn_NLLLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.009s)
2022-11-23T02:19:20.5184953Z   test_factory_kwargs_nn_NLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.009s)
2022-11-23T02:19:20.5185385Z   test_factory_kwargs_nn_RNNCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.009s)
2022-11-23T02:19:20.5185795Z   test_factory_kwargs_nn_RNNCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.009s)
2022-11-23T02:19:20.5186218Z   test_factory_kwargs_nn_RNN_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.208s)
2022-11-23T02:19:20.5186673Z   test_factory_kwargs_nn_RNN_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.108s)
2022-11-23T02:19:20.5187115Z   test_factory_kwargs_nn_RNN_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.108s)
2022-11-23T02:19:20.5187535Z   test_factory_kwargs_nn_RNN_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.111s)
2022-11-23T02:19:20.5187955Z   test_factory_kwargs_nn_ReLU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5188366Z   test_factory_kwargs_nn_ReLU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5188787Z   test_factory_kwargs_nn_Sigmoid_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5189191Z   test_factory_kwargs_nn_Sigmoid_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5189649Z   test_factory_kwargs_nn_TransformerDecoderLayer_cpu_float32 (__main__.TestModuleCPU) ... ok (0.117s)
2022-11-23T02:19:20.5190134Z   test_factory_kwargs_nn_TransformerDecoderLayer_cpu_float64 (__main__.TestModuleCPU) ... ok (0.143s)
2022-11-23T02:19:20.5190615Z   test_factory_kwargs_nn_TransformerEncoderLayer_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.094s)
2022-11-23T02:19:20.5191124Z   test_factory_kwargs_nn_TransformerEncoderLayer_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.096s)
2022-11-23T02:19:20.5191750Z   test_factory_kwargs_nn_TransformerEncoderLayer_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.085s)
2022-11-23T02:19:20.5192272Z   test_factory_kwargs_nn_TransformerEncoderLayer_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.087s)
2022-11-23T02:19:20.5192766Z   test_factory_kwargs_nn_Transformer_cpu_float32 (__main__.TestModuleCPU) ... ok (0.309s)
2022-11-23T02:19:20.5193191Z   test_factory_kwargs_nn_Transformer_cpu_float64 (__main__.TestModuleCPU) ... ok (0.324s)
2022-11-23T02:19:20.5193622Z   test_forward_ao_nn_quantized_MaxPool2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5194056Z   test_forward_ao_nn_quantized_MaxPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5194476Z   test_forward_nn_AdaptiveAvgPool2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5194907Z   test_forward_nn_AdaptiveAvgPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5195324Z   test_forward_nn_AvgPool1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5195708Z   test_forward_nn_AvgPool1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5196119Z   test_forward_nn_BatchNorm2d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5196553Z   test_forward_nn_BatchNorm2d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5196982Z   test_forward_nn_BatchNorm2d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5197607Z   test_forward_nn_BatchNorm2d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5198042Z   test_forward_nn_BatchNorm3d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5198470Z   test_forward_nn_BatchNorm3d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5198878Z   test_forward_nn_BatchNorm3d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5199316Z   test_forward_nn_BatchNorm3d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5199722Z   test_forward_nn_Bilinear_cpu_float32 (__main__.TestModuleCPU) ... ok (0.018s)
2022-11-23T02:19:20.5200121Z   test_forward_nn_Bilinear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.016s)
2022-11-23T02:19:20.5200498Z   test_forward_nn_Conv1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.012s)
2022-11-23T02:19:20.5200881Z   test_forward_nn_Conv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.011s)
2022-11-23T02:19:20.5201263Z   test_forward_nn_Conv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.011s)
2022-11-23T02:19:20.5201628Z   test_forward_nn_Conv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.011s)
2022-11-23T02:19:20.5202010Z   test_forward_nn_Conv3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.012s)
2022-11-23T02:19:20.5202390Z   test_forward_nn_Conv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.012s)
2022-11-23T02:19:20.5203855Z   test_forward_nn_ConvTranspose1d_cpu_complex128 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:1109: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected.
2022-11-23T02:19:20.5204818Z   "Complex modules are a new feature under active development whose design may change, "
2022-11-23T02:19:20.5205140Z ok (0.012s)
2022-11-23T02:19:20.5205482Z   test_forward_nn_ConvTranspose1d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.028s)
2022-11-23T02:19:20.5205935Z   test_forward_nn_ConvTranspose1d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.009s)
2022-11-23T02:19:20.5206365Z   test_forward_nn_ConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5206878Z   test_forward_nn_ConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5207306Z   test_forward_nn_ConvTranspose2d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.008s)
2022-11-23T02:19:20.5207817Z   test_forward_nn_ConvTranspose2d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.024s)
2022-11-23T02:19:20.5208272Z   test_forward_nn_ConvTranspose2d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.009s)
2022-11-23T02:19:20.5208689Z   test_forward_nn_ConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5209106Z   test_forward_nn_ConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5209528Z   test_forward_nn_ConvTranspose3d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.012s)
2022-11-23T02:19:20.5209960Z   test_forward_nn_ConvTranspose3d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.024s)
2022-11-23T02:19:20.5210407Z   test_forward_nn_ConvTranspose3d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.012s)
2022-11-23T02:19:20.5210837Z   test_forward_nn_ConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.008s)
2022-11-23T02:19:20.5211257Z   test_forward_nn_ConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.008s)
2022-11-23T02:19:20.5211685Z   test_forward_nn_CrossEntropyLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.028s)
2022-11-23T02:19:20.5212111Z   test_forward_nn_CrossEntropyLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.025s)
2022-11-23T02:19:20.5212509Z   test_forward_nn_ELU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5212873Z   test_forward_nn_ELU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5213264Z   test_forward_nn_Embedding_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5213673Z   test_forward_nn_Embedding_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5214075Z   test_forward_nn_GRUCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.014s)
2022-11-23T02:19:20.5214452Z   test_forward_nn_GRUCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.011s)
2022-11-23T02:19:20.5214849Z   test_forward_nn_GRU_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.273s)
2022-11-23T02:19:20.5215259Z   test_forward_nn_GRU_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.267s)
2022-11-23T02:19:20.5215654Z   test_forward_nn_GRU_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.296s)
2022-11-23T02:19:20.5216059Z   test_forward_nn_GRU_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.280s)
2022-11-23T02:19:20.5216476Z   test_forward_nn_GaussianNLLLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.015s)
2022-11-23T02:19:20.5216893Z   test_forward_nn_GaussianNLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.013s)
2022-11-23T02:19:20.5217294Z   test_forward_nn_Hardswish_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5217690Z   test_forward_nn_Hardswish_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5218085Z   test_forward_nn_L1Loss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.010s)
2022-11-23T02:19:20.5218459Z   test_forward_nn_L1Loss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.010s)
2022-11-23T02:19:20.5218859Z   test_forward_nn_LSTMCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.013s)
2022-11-23T02:19:20.5219255Z   test_forward_nn_LSTMCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.012s)
2022-11-23T02:19:20.5219660Z   test_forward_nn_LSTM_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.553s)
2022-11-23T02:19:20.5220136Z   test_forward_nn_LSTM_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.546s)
2022-11-23T02:19:20.5220549Z   test_forward_nn_LSTM_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.569s)
2022-11-23T02:19:20.5220959Z   test_forward_nn_LSTM_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.542s)
2022-11-23T02:19:20.5221357Z   test_forward_nn_LazyConv1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.013s)
2022-11-23T02:19:20.5221825Z   test_forward_nn_LazyConv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.013s)
2022-11-23T02:19:20.5222221Z   test_forward_nn_LazyConv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.013s)
2022-11-23T02:19:20.5222658Z   test_forward_nn_LazyConv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.013s)
2022-11-23T02:19:20.5223034Z   test_forward_nn_LazyConv3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.014s)
2022-11-23T02:19:20.5223428Z   test_forward_nn_LazyConv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.014s)
2022-11-23T02:19:20.5223847Z   test_forward_nn_LazyConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.007s)
2022-11-23T02:19:20.5224286Z   test_forward_nn_LazyConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.007s)
2022-11-23T02:19:20.5224707Z   test_forward_nn_LazyConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.007s)
2022-11-23T02:19:20.5225147Z   test_forward_nn_LazyConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.007s)
2022-11-23T02:19:20.5225581Z   test_forward_nn_LazyConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.009s)
2022-11-23T02:19:20.5225998Z   test_forward_nn_LazyConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.009s)
2022-11-23T02:19:20.5226419Z   test_forward_nn_Linear_cpu_float32 (__main__.TestModuleCPU) ... ok (0.009s)
2022-11-23T02:19:20.5226806Z   test_forward_nn_Linear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.008s)
2022-11-23T02:19:20.5227228Z   test_forward_nn_MultiheadAttention_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.625s)
2022-11-23T02:19:20.5227673Z   test_forward_nn_MultiheadAttention_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.592s)
2022-11-23T02:19:20.5228142Z   test_forward_nn_MultiheadAttention_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.608s)
2022-11-23T02:19:20.5228611Z   test_forward_nn_MultiheadAttention_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.612s)
2022-11-23T02:19:20.5229019Z   test_forward_nn_NLLLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.028s)
2022-11-23T02:19:20.5229418Z   test_forward_nn_NLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.027s)
2022-11-23T02:19:20.5229802Z   test_forward_nn_RNNCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.013s)
2022-11-23T02:19:20.5230197Z   test_forward_nn_RNNCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.013s)
2022-11-23T02:19:20.5230580Z   test_forward_nn_RNN_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.319s)
2022-11-23T02:19:20.5230981Z   test_forward_nn_RNN_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.299s)
2022-11-23T02:19:20.5231385Z   test_forward_nn_RNN_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.304s)
2022-11-23T02:19:20.5231777Z   test_forward_nn_RNN_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.295s)
2022-11-23T02:19:20.5232168Z   test_forward_nn_ReLU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5232550Z   test_forward_nn_ReLU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5232942Z   test_forward_nn_Sigmoid_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5233321Z   test_forward_nn_Sigmoid_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5233761Z   test_forward_nn_TransformerDecoderLayer_cpu_float32 (__main__.TestModuleCPU) ... ok (0.310s)
2022-11-23T02:19:20.5234225Z   test_forward_nn_TransformerDecoderLayer_cpu_float64 (__main__.TestModuleCPU) ... ok (0.308s)
2022-11-23T02:19:20.5234688Z   test_forward_nn_TransformerEncoderLayer_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.244s)
2022-11-23T02:19:20.5235179Z   test_forward_nn_TransformerEncoderLayer_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.226s)
2022-11-23T02:19:20.5235665Z   test_forward_nn_TransformerEncoderLayer_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.195s)
2022-11-23T02:19:20.5236152Z   test_forward_nn_TransformerEncoderLayer_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.206s)
2022-11-23T02:19:20.5236647Z   test_forward_nn_Transformer_cpu_float32 (__main__.TestModuleCPU) ... ok (0.530s)
2022-11-23T02:19:20.5237053Z   test_forward_nn_Transformer_cpu_float64 (__main__.TestModuleCPU) ... ok (0.521s)
2022-11-23T02:19:20.5237668Z   test_grad_ao_nn_quantized_MaxPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.021s)
2022-11-23T02:19:20.5238097Z   test_grad_nn_AdaptiveAvgPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.007s)
2022-11-23T02:19:20.5238492Z   test_grad_nn_AvgPool1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.008s)
2022-11-23T02:19:20.5238901Z   test_grad_nn_BatchNorm2d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.023s)
2022-11-23T02:19:20.5239325Z   test_grad_nn_BatchNorm2d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.015s)
2022-11-23T02:19:20.5239728Z   test_grad_nn_BatchNorm3d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.013s)
2022-11-23T02:19:20.5240147Z   test_grad_nn_BatchNorm3d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.015s)
2022-11-23T02:19:20.5240553Z   test_grad_nn_Bilinear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.100s)
2022-11-23T02:19:20.5240936Z   test_grad_nn_Conv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.063s)
2022-11-23T02:19:20.5241304Z   test_grad_nn_Conv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.064s)
2022-11-23T02:19:20.5241679Z   test_grad_nn_Conv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.077s)
2022-11-23T02:19:20.5242073Z   test_grad_nn_ConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.032s)
2022-11-23T02:19:20.5242474Z   test_grad_nn_ConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.035s)
2022-11-23T02:19:20.5242889Z   test_grad_nn_ConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.045s)
2022-11-23T02:19:20.5243312Z   test_grad_nn_CrossEntropyLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.105s)
2022-11-23T02:19:20.5243706Z   test_grad_nn_ELU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.022s)
2022-11-23T02:19:20.5244073Z   test_grad_nn_Embedding_cpu_float64 (__main__.TestModuleCPU) ... ok (0.049s)
2022-11-23T02:19:20.5244458Z   test_grad_nn_GRUCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.069s)
2022-11-23T02:19:20.5244845Z   test_grad_nn_GRU_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (4.087s)
2022-11-23T02:19:20.5245233Z   test_grad_nn_GRU_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (4.150s)
2022-11-23T02:19:20.5245641Z   test_grad_nn_GaussianNLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.051s)
2022-11-23T02:19:20.5246047Z   test_grad_nn_Hardswish_cpu_float64 (__main__.TestModuleCPU) ... ok (0.011s)
2022-11-23T02:19:20.5246428Z   test_grad_nn_L1Loss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.041s)
2022-11-23T02:19:20.5246800Z   test_grad_nn_LSTMCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.119s)
2022-11-23T02:19:20.5247197Z   test_grad_nn_LSTM_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (11.237s)
2022-11-23T02:19:20.5247599Z   test_grad_nn_LSTM_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (11.045s)
2022-11-23T02:19:20.5248554Z   test_grad_nn_LazyConv1d_cpu_float64 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5249282Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5250059Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5250700Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5251471Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5252200Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5253014Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5253675Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5253968Z ok (0.064s)
2022-11-23T02:19:20.5254783Z   test_grad_nn_LazyConv2d_cpu_float64 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5255505Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5256262Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5256906Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5257661Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5258301Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5259065Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5259783Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5260081Z ok (0.068s)
2022-11-23T02:19:20.5260906Z   test_grad_nn_LazyConv3d_cpu_float64 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5261626Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5262401Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5263037Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5263863Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5264525Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5265300Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5265941Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5266242Z ok (0.090s)
2022-11-23T02:19:20.5267088Z   test_grad_nn_LazyConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5267824Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5268630Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5269272Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5269651Z ok (0.034s)
2022-11-23T02:19:20.5270526Z   test_grad_nn_LazyConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5271298Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5272219Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5272992Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5273265Z ok (0.045s)
2022-11-23T02:19:20.5273881Z   test_grad_nn_LazyConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5274437Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5275003Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5275486Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5275703Z ok (0.043s)
2022-11-23T02:19:20.5275932Z   test_grad_nn_Linear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.035s)
2022-11-23T02:19:20.5276257Z   test_grad_nn_MultiheadAttention_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (5.836s)
2022-11-23T02:19:20.5276599Z   test_grad_nn_MultiheadAttention_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (5.862s)
2022-11-23T02:19:20.5276919Z   test_grad_nn_NLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.041s)
2022-11-23T02:19:20.5277368Z   test_grad_nn_RNNCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.074s)
2022-11-23T02:19:20.5277665Z   test_grad_nn_RNN_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (4.367s)
2022-11-23T02:19:20.5277962Z   test_grad_nn_RNN_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (4.348s)
2022-11-23T02:19:20.5278261Z   test_grad_nn_ReLU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.016s)
2022-11-23T02:19:20.5278552Z   test_grad_nn_Sigmoid_cpu_float64 (__main__.TestModuleCPU) ... ok (0.012s)
2022-11-23T02:19:20.5278863Z   test_grad_nn_TransformerDecoderLayer_cpu_float64 (__main__.TestModuleCPU) ... ok (4.415s)
2022-11-23T02:19:20.5279223Z   test_grad_nn_TransformerEncoderLayer_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (2.288s)
2022-11-23T02:19:20.5279590Z   test_grad_nn_TransformerEncoderLayer_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (2.089s)
2022-11-23T02:19:20.5279923Z   test_grad_nn_Transformer_cpu_float64 (__main__.TestModuleCPU) ... ok (9.699s)
2022-11-23T02:19:20.5280233Z   test_gradgrad_ao_nn_quantized_MaxPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.032s)
2022-11-23T02:19:20.5280571Z   test_gradgrad_nn_AdaptiveAvgPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.011s)
2022-11-23T02:19:20.5280898Z   test_gradgrad_nn_AvgPool1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.012s)
2022-11-23T02:19:20.5281206Z   test_gradgrad_nn_BatchNorm2d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.046s)
2022-11-23T02:19:20.5281538Z   test_gradgrad_nn_BatchNorm2d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.065s)
2022-11-23T02:19:20.5281869Z   test_gradgrad_nn_BatchNorm3d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.050s)
2022-11-23T02:19:20.5282201Z   test_gradgrad_nn_BatchNorm3d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.072s)
2022-11-23T02:19:20.5282508Z   test_gradgrad_nn_Bilinear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.456s)
2022-11-23T02:19:20.5282895Z   test_gradgrad_nn_Conv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.195s)
2022-11-23T02:19:20.5283189Z   test_gradgrad_nn_Conv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.203s)
2022-11-23T02:19:20.5283473Z   test_gradgrad_nn_Conv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.265s)
2022-11-23T02:19:20.5283825Z   test_gradgrad_nn_ConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.098s)
2022-11-23T02:19:20.5284156Z   test_gradgrad_nn_ConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.105s)
2022-11-23T02:19:20.5284483Z   test_gradgrad_nn_ConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.161s)
2022-11-23T02:19:20.5284799Z   test_gradgrad_nn_CrossEntropyLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.224s)
2022-11-23T02:19:20.5285108Z   test_gradgrad_nn_ELU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.042s)
2022-11-23T02:19:20.5285417Z   test_gradgrad_nn_Embedding_cpu_float64 (__main__.TestModuleCPU) ... ok (0.052s)
2022-11-23T02:19:20.5285716Z   test_gradgrad_nn_GRUCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.468s)
2022-11-23T02:19:20.5286033Z   test_gradgrad_nn_GRU_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (30.385s)
2022-11-23T02:19:20.5286348Z   test_gradgrad_nn_GRU_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (30.592s)
2022-11-23T02:19:20.5286672Z   test_gradgrad_nn_GaussianNLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.155s)
2022-11-23T02:19:20.5286974Z   test_gradgrad_nn_L1Loss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.124s)
2022-11-23T02:19:20.5287272Z   test_gradgrad_nn_LSTMCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.602s)
2022-11-23T02:19:20.5287580Z   test_gradgrad_nn_LSTM_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (85.220s)
2022-11-23T02:19:20.5287880Z   test_gradgrad_nn_LSTM_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (87.072s)
2022-11-23T02:19:20.5288585Z   test_gradgrad_nn_LazyConv1d_cpu_float64 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5289141Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5289708Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5290195Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5290744Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5291218Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5291779Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5292261Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5292481Z ok (0.207s)
2022-11-23T02:19:20.5293091Z   test_gradgrad_nn_LazyConv2d_cpu_float64 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5293631Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5294200Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5294666Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5295285Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5295766Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5296349Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5296817Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5297049Z ok (0.214s)
2022-11-23T02:19:20.5297663Z   test_gradgrad_nn_LazyConv3d_cpu_float64 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5298216Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5298767Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5299255Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5299903Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5300387Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5300937Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5301415Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5301649Z ok (0.277s)
2022-11-23T02:19:20.5302286Z   test_gradgrad_nn_LazyConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5302834Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5303400Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5303877Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5304109Z ok (0.101s)
2022-11-23T02:19:20.5304717Z   test_gradgrad_nn_LazyConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5305274Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5305837Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5306317Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5306533Z ok (0.107s)
2022-11-23T02:19:20.5307158Z   test_gradgrad_nn_LazyConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5307712Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5308309Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5308803Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5309036Z ok (0.202s)
2022-11-23T02:19:20.5309275Z   test_gradgrad_nn_Linear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.109s)
2022-11-23T02:19:20.5309602Z   test_gradgrad_nn_MultiheadAttention_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (27.987s)
2022-11-23T02:19:20.5309966Z   test_gradgrad_nn_MultiheadAttention_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (27.644s)
2022-11-23T02:19:20.5310298Z   test_gradgrad_nn_NLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.097s)
2022-11-23T02:19:20.5310600Z   test_gradgrad_nn_RNNCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.441s)
2022-11-23T02:19:20.5310898Z   test_gradgrad_nn_RNN_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (32.795s)
2022-11-23T02:19:20.5311212Z   test_gradgrad_nn_RNN_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (32.806s)
2022-11-23T02:19:20.5311518Z   test_gradgrad_nn_ReLU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.064s)
2022-11-23T02:19:20.5311806Z   test_gradgrad_nn_Sigmoid_cpu_float64 (__main__.TestModuleCPU) ... ok (0.024s)
2022-11-23T02:19:20.5312138Z   test_gradgrad_nn_TransformerDecoderLayer_cpu_float64 (__main__.TestModuleCPU) ... ok (52.803s)
2022-11-23T02:19:20.5312510Z   test_gradgrad_nn_TransformerEncoderLayer_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (23.455s)
2022-11-23T02:19:20.5312889Z   test_gradgrad_nn_TransformerEncoderLayer_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (21.063s)
2022-11-23T02:19:20.5313221Z   test_gradgrad_nn_Transformer_cpu_float64 (__main__.TestModuleCPU) ... ok (141.528s)
2022-11-23T02:19:20.5313574Z   test_if_train_and_eval_modes_differ_ao_nn_quantized_MaxPool2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5313953Z   test_if_train_and_eval_modes_differ_ao_nn_quantized_MaxPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5314330Z   test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5314687Z   test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5315037Z   test_if_train_and_eval_modes_differ_nn_AvgPool1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5315383Z   test_if_train_and_eval_modes_differ_nn_AvgPool1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5315732Z   test_if_train_and_eval_modes_differ_nn_BatchNorm2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5316069Z   test_if_train_and_eval_modes_differ_nn_BatchNorm2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5316413Z   test_if_train_and_eval_modes_differ_nn_BatchNorm3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5316761Z   test_if_train_and_eval_modes_differ_nn_BatchNorm3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5317098Z   test_if_train_and_eval_modes_differ_nn_Bilinear_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5317739Z   test_if_train_and_eval_modes_differ_nn_Bilinear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5318236Z   test_if_train_and_eval_modes_differ_nn_Conv1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5318727Z   test_if_train_and_eval_modes_differ_nn_Conv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5319200Z   test_if_train_and_eval_modes_differ_nn_Conv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5319687Z   test_if_train_and_eval_modes_differ_nn_Conv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5320252Z   test_if_train_and_eval_modes_differ_nn_Conv3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5320734Z   test_if_train_and_eval_modes_differ_nn_Conv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5322407Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_complex128 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:1109: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected.
2022-11-23T02:19:20.5323500Z   "Complex modules are a new feature under active development whose design may change, "
2022-11-23T02:19:20.5323856Z ok (0.006s)
2022-11-23T02:19:20.5324283Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.024s)
2022-11-23T02:19:20.5324837Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5325362Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5325757Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5326130Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5326504Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.024s)
2022-11-23T02:19:20.5326888Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5327254Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5327619Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5327980Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.008s)
2022-11-23T02:19:20.5328368Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.024s)
2022-11-23T02:19:20.5328755Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.008s)
2022-11-23T02:19:20.5329117Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5329463Z   test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5329830Z   test_if_train_and_eval_modes_differ_nn_CrossEntropyLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.007s)
2022-11-23T02:19:20.5330202Z   test_if_train_and_eval_modes_differ_nn_CrossEntropyLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.007s)
2022-11-23T02:19:20.5330544Z   test_if_train_and_eval_modes_differ_nn_ELU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5330875Z   test_if_train_and_eval_modes_differ_nn_ELU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5331219Z   test_if_train_and_eval_modes_differ_nn_Embedding_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5331570Z   test_if_train_and_eval_modes_differ_nn_Embedding_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5331899Z   test_if_train_and_eval_modes_differ_nn_GRUCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5332238Z   test_if_train_and_eval_modes_differ_nn_GRUCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5332621Z   test_if_train_and_eval_modes_differ_nn_GRU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.020s)
2022-11-23T02:19:20.5332946Z   test_if_train_and_eval_modes_differ_nn_GRU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.024s)
2022-11-23T02:19:20.5333320Z   test_if_train_and_eval_modes_differ_nn_GaussianNLLLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5333685Z   test_if_train_and_eval_modes_differ_nn_GaussianNLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5334042Z   test_if_train_and_eval_modes_differ_nn_Hardswish_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5334392Z   test_if_train_and_eval_modes_differ_nn_Hardswish_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5334716Z   test_if_train_and_eval_modes_differ_nn_L1Loss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5335054Z   test_if_train_and_eval_modes_differ_nn_L1Loss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5335393Z   test_if_train_and_eval_modes_differ_nn_LSTMCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5335720Z   test_if_train_and_eval_modes_differ_nn_LSTMCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5336058Z   test_if_train_and_eval_modes_differ_nn_LSTM_cpu_float32 (__main__.TestModuleCPU) ... ok (0.043s)
2022-11-23T02:19:20.5336391Z   test_if_train_and_eval_modes_differ_nn_LSTM_cpu_float64 (__main__.TestModuleCPU) ... ok (0.050s)
2022-11-23T02:19:20.5337144Z   test_if_train_and_eval_modes_differ_nn_LazyConv1d_cpu_float32 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.
2022-11-23T02:19:20.5337698Z   warnings.warn('Lazy modules are a new feature under heavy development '
2022-11-23T02:19:20.5337934Z ok (0.007s)
2022-11-23T02:19:20.5338201Z   test_if_train_and_eval_modes_differ_nn_LazyConv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.007s)
2022-11-23T02:19:20.5338555Z   test_if_train_and_eval_modes_differ_nn_LazyConv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.007s)
2022-11-23T02:19:20.5338894Z   test_if_train_and_eval_modes_differ_nn_LazyConv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.007s)
2022-11-23T02:19:20.5339238Z   test_if_train_and_eval_modes_differ_nn_LazyConv3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.007s)
2022-11-23T02:19:20.5339580Z   test_if_train_and_eval_modes_differ_nn_LazyConv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.007s)
2022-11-23T02:19:20.5340024Z   test_if_train_and_eval_modes_differ_nn_LazyConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5340392Z   test_if_train_and_eval_modes_differ_nn_LazyConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5340766Z   test_if_train_and_eval_modes_differ_nn_LazyConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5341142Z   test_if_train_and_eval_modes_differ_nn_LazyConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5341496Z   test_if_train_and_eval_modes_differ_nn_LazyConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5341870Z   test_if_train_and_eval_modes_differ_nn_LazyConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5342227Z   test_if_train_and_eval_modes_differ_nn_Linear_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5342567Z   test_if_train_and_eval_modes_differ_nn_Linear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.027s)
2022-11-23T02:19:20.5342911Z   test_if_train_and_eval_modes_differ_nn_MultiheadAttention_cpu_float32 (__main__.TestModuleCPU) ... ok (0.043s)
2022-11-23T02:19:20.5343281Z   test_if_train_and_eval_modes_differ_nn_MultiheadAttention_cpu_float64 (__main__.TestModuleCPU) ... ok (0.050s)
2022-11-23T02:19:20.5343675Z   test_if_train_and_eval_modes_differ_nn_NLLLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5344012Z   test_if_train_and_eval_modes_differ_nn_NLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5344367Z   test_if_train_and_eval_modes_differ_nn_RNNCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5344705Z   test_if_train_and_eval_modes_differ_nn_RNNCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5345034Z   test_if_train_and_eval_modes_differ_nn_RNN_cpu_float32 (__main__.TestModuleCPU) ... ok (0.037s)
2022-11-23T02:19:20.5345360Z   test_if_train_and_eval_modes_differ_nn_RNN_cpu_float64 (__main__.TestModuleCPU) ... ok (0.044s)
2022-11-23T02:19:20.5345678Z   test_if_train_and_eval_modes_differ_nn_ReLU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5346011Z   test_if_train_and_eval_modes_differ_nn_ReLU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5346349Z   test_if_train_and_eval_modes_differ_nn_Sigmoid_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5346672Z   test_if_train_and_eval_modes_differ_nn_Sigmoid_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5347038Z   test_if_train_and_eval_modes_differ_nn_TransformerDecoderLayer_cpu_float32 (__main__.TestModuleCPU) ... ok (0.111s)
2022-11-23T02:19:20.5347430Z   test_if_train_and_eval_modes_differ_nn_TransformerDecoderLayer_cpu_float64 (__main__.TestModuleCPU) ... ok (0.117s)
2022-11-23T02:19:20.5347815Z   test_if_train_and_eval_modes_differ_nn_TransformerEncoderLayer_cpu_float32 (__main__.TestModuleCPU) ... ok (0.064s)
2022-11-23T02:19:20.5348186Z   test_if_train_and_eval_modes_differ_nn_TransformerEncoderLayer_cpu_float64 (__main__.TestModuleCPU) ... ok (0.070s)
2022-11-23T02:19:20.5348560Z   test_if_train_and_eval_modes_differ_nn_Transformer_cpu_float32 (__main__.TestModuleCPU) ... ok (0.235s)
2022-11-23T02:19:20.5348910Z   test_if_train_and_eval_modes_differ_nn_Transformer_cpu_float64 (__main__.TestModuleCPU) ... ok (0.281s)
2022-11-23T02:19:20.5349260Z   test_memory_format_ao_nn_quantized_MaxPool2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.020s)
2022-11-23T02:19:20.5349595Z   test_memory_format_ao_nn_quantized_MaxPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.019s)
2022-11-23T02:19:20.5349935Z   test_memory_format_nn_AdaptiveAvgPool2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.011s)
2022-11-23T02:19:20.5350275Z   test_memory_format_nn_AdaptiveAvgPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.009s)
2022-11-23T02:19:20.5350617Z   test_memory_format_nn_AvgPool1d_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5350947Z   test_memory_format_nn_AvgPool1d_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5351286Z   test_memory_format_nn_BatchNorm2d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.013s)
2022-11-23T02:19:20.5351628Z   test_memory_format_nn_BatchNorm2d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.012s)
2022-11-23T02:19:20.5351957Z   test_memory_format_nn_BatchNorm2d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.013s)
2022-11-23T02:19:20.5352300Z   test_memory_format_nn_BatchNorm2d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.013s)
2022-11-23T02:19:20.5352633Z   test_memory_format_nn_BatchNorm3d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.013s)
2022-11-23T02:19:20.5352971Z   test_memory_format_nn_BatchNorm3d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.013s)
2022-11-23T02:19:20.5353294Z   test_memory_format_nn_BatchNorm3d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.014s)
2022-11-23T02:19:20.5353631Z   test_memory_format_nn_BatchNorm3d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.014s)
2022-11-23T02:19:20.5353974Z   test_memory_format_nn_Bilinear_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5354344Z   test_memory_format_nn_Bilinear_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5354652Z   test_memory_format_nn_Conv1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.017s)
2022-11-23T02:19:20.5354960Z   test_memory_format_nn_Conv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.017s)
2022-11-23T02:19:20.5355300Z   test_memory_format_nn_Conv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.027s)
2022-11-23T02:19:20.5355593Z   test_memory_format_nn_Conv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.025s)
2022-11-23T02:19:20.5355913Z   test_memory_format_nn_Conv3d_cpu_float32 (__main__.TestModuleCPU) ... expected failure (0.010s)
2022-11-23T02:19:20.5356249Z   test_memory_format_nn_Conv3d_cpu_float64 (__main__.TestModuleCPU) ... expected failure (0.009s)
2022-11-23T02:19:20.5356585Z   test_memory_format_nn_ConvTranspose1d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.017s)
2022-11-23T02:19:20.5356928Z   test_memory_format_nn_ConvTranspose1d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.027s)
2022-11-23T02:19:20.5357444Z   test_memory_format_nn_ConvTranspose1d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.043s)
2022-11-23T02:19:20.5357777Z   test_memory_format_nn_ConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.010s)
2022-11-23T02:19:20.5358094Z   test_memory_format_nn_ConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.010s)
2022-11-23T02:19:20.5358442Z   test_memory_format_nn_ConvTranspose2d_cpu_complex128 (__main__.TestModuleCPU) ... expected failure (0.015s)
2022-11-23T02:19:20.5358812Z   test_memory_format_nn_ConvTranspose2d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.027s)
2022-11-23T02:19:20.5359180Z   test_memory_format_nn_ConvTranspose2d_cpu_complex64 (__main__.TestModuleCPU) ... expected failure (0.016s)
2022-11-23T02:19:20.5359531Z   test_memory_format_nn_ConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... expected failure (0.010s)
2022-11-23T02:19:20.5359899Z   test_memory_format_nn_ConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... expected failure (0.010s)
2022-11-23T02:19:20.5360264Z   test_memory_format_nn_ConvTranspose3d_cpu_complex128 (__main__.TestModuleCPU) ... expected failure (0.023s)
2022-11-23T02:19:20.5360639Z   test_memory_format_nn_ConvTranspose3d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.027s)
2022-11-23T02:19:20.5361018Z   test_memory_format_nn_ConvTranspose3d_cpu_complex64 (__main__.TestModuleCPU) ... expected failure (0.023s)
2022-11-23T02:19:20.5361379Z   test_memory_format_nn_ConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... expected failure (0.013s)
2022-11-23T02:19:20.5361741Z   test_memory_format_nn_ConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... expected failure (0.013s)
2022-11-23T02:19:20.5362087Z   test_memory_format_nn_CrossEntropyLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.029s)
2022-11-23T02:19:20.5362411Z   test_memory_format_nn_CrossEntropyLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.027s)
2022-11-23T02:19:20.5362731Z   test_memory_format_nn_ELU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.013s)
2022-11-23T02:19:20.5363034Z   test_memory_format_nn_ELU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.013s)
2022-11-23T02:19:20.5363344Z   test_memory_format_nn_Embedding_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5363692Z   test_memory_format_nn_Embedding_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5364017Z   test_memory_format_nn_GRUCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.014s)
2022-11-23T02:19:20.5364322Z   test_memory_format_nn_GRUCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.043s)
2022-11-23T02:19:20.5364621Z   test_memory_format_nn_GRU_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.281s)
2022-11-23T02:19:20.5364936Z   test_memory_format_nn_GRU_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.278s)
2022-11-23T02:19:20.5365253Z   test_memory_format_nn_GRU_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.321s)
2022-11-23T02:19:20.5365639Z   test_memory_format_nn_GRU_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.285s)
2022-11-23T02:19:20.5365978Z   test_memory_format_nn_GaussianNLLLoss_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5366376Z   test_memory_format_nn_GaussianNLLLoss_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5366717Z   test_memory_format_nn_Hardswish_cpu_float32 (__main__.TestModuleCPU) ... ok (0.011s)
2022-11-23T02:19:20.5367021Z   test_memory_format_nn_Hardswish_cpu_float64 (__main__.TestModuleCPU) ... ok (0.010s)
2022-11-23T02:19:20.5367354Z   test_memory_format_nn_L1Loss_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5367683Z   test_memory_format_nn_L1Loss_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5368000Z   test_memory_format_nn_LSTMCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.017s)
2022-11-23T02:19:20.5368304Z   test_memory_format_nn_LSTMCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.016s)
2022-11-23T02:19:20.5368622Z   test_memory_format_nn_LSTM_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.607s)
2022-11-23T02:19:20.5368948Z   test_memory_format_nn_LSTM_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.595s)
2022-11-23T02:19:20.5369254Z   test_memory_format_nn_LSTM_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.584s)
2022-11-23T02:19:20.5369581Z   test_memory_format_nn_LSTM_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.579s)
2022-11-23T02:19:20.5369898Z   test_memory_format_nn_LazyConv1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.019s)
2022-11-23T02:19:20.5370215Z   test_memory_format_nn_LazyConv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.018s)
2022-11-23T02:19:20.5370516Z   test_memory_format_nn_LazyConv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.028s)
2022-11-23T02:19:20.5370828Z   test_memory_format_nn_LazyConv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.027s)
2022-11-23T02:19:20.5371162Z   test_memory_format_nn_LazyConv3d_cpu_float32 (__main__.TestModuleCPU) ... expected failure (0.010s)
2022-11-23T02:19:20.5371499Z   test_memory_format_nn_LazyConv3d_cpu_float64 (__main__.TestModuleCPU) ... expected failure (0.010s)
2022-11-23T02:19:20.5371848Z   test_memory_format_nn_LazyConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.012s)
2022-11-23T02:19:20.5372191Z   test_memory_format_nn_LazyConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.011s)
2022-11-23T02:19:20.5372556Z   test_memory_format_nn_LazyConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... expected failure (0.010s)
2022-11-23T02:19:20.5372918Z   test_memory_format_nn_LazyConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... expected failure (0.010s)
2022-11-23T02:19:20.5373281Z   test_memory_format_nn_LazyConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... expected failure (0.014s)
2022-11-23T02:19:20.5373650Z   test_memory_format_nn_LazyConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... expected failure (0.014s)
2022-11-23T02:19:20.5374002Z   test_memory_format_nn_Linear_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5374320Z   test_memory_format_nn_Linear_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5374683Z   test_memory_format_nn_MultiheadAttention_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5375073Z   test_memory_format_nn_MultiheadAttention_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5375462Z   test_memory_format_nn_MultiheadAttention_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5375836Z   test_memory_format_nn_MultiheadAttention_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5376198Z   test_memory_format_nn_NLLLoss_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5376601Z   test_memory_format_nn_NLLLoss_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5376912Z   test_memory_format_nn_RNNCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.016s)
2022-11-23T02:19:20.5377266Z   test_memory_format_nn_RNNCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.015s)
2022-11-23T02:19:20.5377590Z   test_memory_format_nn_RNN_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.316s)
2022-11-23T02:19:20.5377913Z   test_memory_format_nn_RNN_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.301s)
2022-11-23T02:19:20.5378221Z   test_memory_format_nn_RNN_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.342s)
2022-11-23T02:19:20.5378543Z   test_memory_format_nn_RNN_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.298s)
2022-11-23T02:19:20.5378854Z   test_memory_format_nn_ReLU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.015s)
2022-11-23T02:19:20.5379142Z   test_memory_format_nn_ReLU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.014s)
2022-11-23T02:19:20.5379459Z   test_memory_format_nn_Sigmoid_cpu_float32 (__main__.TestModuleCPU) ... ok (0.014s)
2022-11-23T02:19:20.5379849Z   test_memory_format_nn_Sigmoid_cpu_float64 (__main__.TestModuleCPU) ... ok (0.014s)
2022-11-23T02:19:20.5380207Z   test_memory_format_nn_TransformerDecoderLayer_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5380582Z   test_memory_format_nn_TransformerDecoderLayer_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5380977Z   test_memory_format_nn_TransformerEncoderLayer_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5381383Z   test_memory_format_nn_TransformerEncoderLayer_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5381791Z   test_memory_format_nn_TransformerEncoderLayer_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5382188Z   test_memory_format_nn_TransformerEncoderLayer_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5382568Z   test_memory_format_nn_Transformer_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5382917Z   test_memory_format_nn_Transformer_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.013s)
2022-11-23T02:19:20.5383301Z   test_multiple_device_transfer_ao_nn_quantized_MaxPool2d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5383703Z   test_multiple_device_transfer_ao_nn_quantized_MaxPool2d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5384114Z   test_multiple_device_transfer_nn_AdaptiveAvgPool2d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5384519Z   test_multiple_device_transfer_nn_AdaptiveAvgPool2d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5384916Z   test_multiple_device_transfer_nn_AvgPool1d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5385284Z   test_multiple_device_transfer_nn_AvgPool1d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5385679Z   test_multiple_device_transfer_nn_BatchNorm2d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5386078Z   test_multiple_device_transfer_nn_BatchNorm2d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5386475Z   test_multiple_device_transfer_nn_BatchNorm2d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5386861Z   test_multiple_device_transfer_nn_BatchNorm2d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5387260Z   test_multiple_device_transfer_nn_BatchNorm3d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5387695Z   test_multiple_device_transfer_nn_BatchNorm3d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5388123Z   test_multiple_device_transfer_nn_BatchNorm3d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5388509Z   test_multiple_device_transfer_nn_BatchNorm3d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5388890Z   test_multiple_device_transfer_nn_Bilinear_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5389260Z   test_multiple_device_transfer_nn_Bilinear_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5389626Z   test_multiple_device_transfer_nn_Conv1d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5389987Z   test_multiple_device_transfer_nn_Conv1d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5390357Z   test_multiple_device_transfer_nn_Conv2d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5390727Z   test_multiple_device_transfer_nn_Conv2d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5391078Z   test_multiple_device_transfer_nn_Conv3d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5391447Z   test_multiple_device_transfer_nn_Conv3d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5391833Z   test_multiple_device_transfer_nn_ConvTranspose1d_cpu_complex128 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5392232Z   test_multiple_device_transfer_nn_ConvTranspose1d_cpu_complex32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5392621Z   test_multiple_device_transfer_nn_ConvTranspose1d_cpu_complex64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5393012Z   test_multiple_device_transfer_nn_ConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5393407Z   test_multiple_device_transfer_nn_ConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5393798Z   test_multiple_device_transfer_nn_ConvTranspose2d_cpu_complex128 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5394186Z   test_multiple_device_transfer_nn_ConvTranspose2d_cpu_complex32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5394583Z   test_multiple_device_transfer_nn_ConvTranspose2d_cpu_complex64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5394972Z   test_multiple_device_transfer_nn_ConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5395364Z   test_multiple_device_transfer_nn_ConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5395745Z   test_multiple_device_transfer_nn_ConvTranspose3d_cpu_complex128 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5396142Z   test_multiple_device_transfer_nn_ConvTranspose3d_cpu_complex32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5396533Z   test_multiple_device_transfer_nn_ConvTranspose3d_cpu_complex64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5396924Z   test_multiple_device_transfer_nn_ConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5397433Z   test_multiple_device_transfer_nn_ConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5397903Z   test_multiple_device_transfer_nn_CrossEntropyLoss_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5398305Z   test_multiple_device_transfer_nn_CrossEntropyLoss_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5398722Z   test_multiple_device_transfer_nn_ELU_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5399074Z   test_multiple_device_transfer_nn_ELU_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5399446Z   test_multiple_device_transfer_nn_Embedding_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5399824Z   test_multiple_device_transfer_nn_Embedding_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5400199Z   test_multiple_device_transfer_nn_GRUCell_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5400557Z   test_multiple_device_transfer_nn_GRUCell_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5400934Z   test_multiple_device_transfer_nn_GRU_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5401315Z   test_multiple_device_transfer_nn_GRU_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5401693Z   test_multiple_device_transfer_nn_GRU_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5402060Z   test_multiple_device_transfer_nn_GRU_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5402450Z   test_multiple_device_transfer_nn_GaussianNLLLoss_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5402843Z   test_multiple_device_transfer_nn_GaussianNLLLoss_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5403226Z   test_multiple_device_transfer_nn_Hardswish_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5403589Z   test_multiple_device_transfer_nn_Hardswish_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5403960Z   test_multiple_device_transfer_nn_L1Loss_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5404331Z   test_multiple_device_transfer_nn_L1Loss_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5404707Z   test_multiple_device_transfer_nn_LSTMCell_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5405069Z   test_multiple_device_transfer_nn_LSTMCell_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.010s)
2022-11-23T02:19:20.5405447Z   test_multiple_device_transfer_nn_LSTM_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5405829Z   test_multiple_device_transfer_nn_LSTM_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5406203Z   test_multiple_device_transfer_nn_LSTM_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5406585Z   test_multiple_device_transfer_nn_LSTM_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5406964Z   test_multiple_device_transfer_nn_LazyConv1d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5407341Z   test_multiple_device_transfer_nn_LazyConv1d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5407698Z   test_multiple_device_transfer_nn_LazyConv2d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5408069Z   test_multiple_device_transfer_nn_LazyConv2d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5408477Z   test_multiple_device_transfer_nn_LazyConv3d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5408873Z   test_multiple_device_transfer_nn_LazyConv3d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5409254Z   test_multiple_device_transfer_nn_LazyConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5409657Z   test_multiple_device_transfer_nn_LazyConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5410056Z   test_multiple_device_transfer_nn_LazyConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5410453Z   test_multiple_device_transfer_nn_LazyConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5410834Z   test_multiple_device_transfer_nn_LazyConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5411230Z   test_multiple_device_transfer_nn_LazyConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5411615Z   test_multiple_device_transfer_nn_Linear_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5411983Z   test_multiple_device_transfer_nn_Linear_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5412368Z   test_multiple_device_transfer_nn_MultiheadAttention_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5412788Z   test_multiple_device_transfer_nn_MultiheadAttention_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5413205Z   test_multiple_device_transfer_nn_MultiheadAttention_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5413628Z   test_multiple_device_transfer_nn_MultiheadAttention_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5414013Z   test_multiple_device_transfer_nn_NLLLoss_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5414388Z   test_multiple_device_transfer_nn_NLLLoss_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5414757Z   test_multiple_device_transfer_nn_RNNCell_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5415125Z   test_multiple_device_transfer_nn_RNNCell_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5415483Z   test_multiple_device_transfer_nn_RNN_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5415863Z   test_multiple_device_transfer_nn_RNN_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5416244Z   test_multiple_device_transfer_nn_RNN_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:19:20.5416626Z   test_multiple_device_transfer_nn_RNN_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5416982Z   test_multiple_device_transfer_nn_ReLU_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5417340Z   test_multiple_device_transfer_nn_ReLU_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5417711Z   test_multiple_device_transfer_nn_Sigmoid_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5418082Z   test_multiple_device_transfer_nn_Sigmoid_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5418466Z   test_multiple_device_transfer_nn_TransformerDecoderLayer_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5418934Z   test_multiple_device_transfer_nn_TransformerDecoderLayer_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5419426Z   test_multiple_device_transfer_nn_TransformerEncoderLayer_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5419940Z   test_multiple_device_transfer_nn_TransformerEncoderLayer_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5420372Z   test_multiple_device_transfer_nn_TransformerEncoderLayer_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5420809Z   test_multiple_device_transfer_nn_TransformerEncoderLayer_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5421220Z   test_multiple_device_transfer_nn_Transformer_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5421606Z   test_multiple_device_transfer_nn_Transformer_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s)
2022-11-23T02:19:20.5421982Z   test_non_contiguous_tensors_ao_nn_quantized_MaxPool2d_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5422373Z   test_non_contiguous_tensors_ao_nn_quantized_MaxPool2d_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.004s)
2022-11-23T02:19:20.5422746Z   test_non_contiguous_tensors_nn_AdaptiveAvgPool2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.017s)
2022-11-23T02:19:20.5423111Z   test_non_contiguous_tensors_nn_AdaptiveAvgPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.015s)
2022-11-23T02:19:20.5423443Z   test_non_contiguous_tensors_nn_AvgPool1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.016s)
2022-11-23T02:19:20.5423768Z   test_non_contiguous_tensors_nn_AvgPool1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.036s)
2022-11-23T02:19:20.5424119Z   test_non_contiguous_tensors_nn_BatchNorm2d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.020s)
2022-11-23T02:19:20.5424460Z   test_non_contiguous_tensors_nn_BatchNorm2d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.020s)
2022-11-23T02:19:20.5424813Z   test_non_contiguous_tensors_nn_BatchNorm2d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.022s)
2022-11-23T02:19:20.5425171Z   test_non_contiguous_tensors_nn_BatchNorm2d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.021s)
2022-11-23T02:19:20.5425524Z   test_non_contiguous_tensors_nn_BatchNorm3d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.022s)
2022-11-23T02:19:20.5425862Z   test_non_contiguous_tensors_nn_BatchNorm3d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.021s)
2022-11-23T02:19:20.5426211Z   test_non_contiguous_tensors_nn_BatchNorm3d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.023s)
2022-11-23T02:19:20.5426567Z   test_non_contiguous_tensors_nn_BatchNorm3d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.022s)
2022-11-23T02:19:20.5426904Z   test_non_contiguous_tensors_nn_Bilinear_cpu_float32 (__main__.TestModuleCPU) ... ok (0.093s)
2022-11-23T02:19:20.5427223Z   test_non_contiguous_tensors_nn_Bilinear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.090s)
2022-11-23T02:19:20.5427542Z   test_non_contiguous_tensors_nn_Conv1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.072s)
2022-11-23T02:19:20.5427864Z   test_non_contiguous_tensors_nn_Conv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.069s)
2022-11-23T02:19:20.5428182Z   test_non_contiguous_tensors_nn_Conv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.076s)
2022-11-23T02:19:20.5428484Z   test_non_contiguous_tensors_nn_Conv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.090s)
2022-11-23T02:19:20.5428799Z   test_non_contiguous_tensors_nn_Conv3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.086s)
2022-11-23T02:19:20.5429112Z   test_non_contiguous_tensors_nn_Conv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.084s)
2022-11-23T02:19:20.5429485Z   test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.073s)
2022-11-23T02:19:20.5429886Z   test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.027s)
2022-11-23T02:19:20.5430259Z   test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.078s)
2022-11-23T02:19:20.5430613Z   test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.041s)
2022-11-23T02:19:20.5430952Z   test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.038s)
2022-11-23T02:19:20.5431306Z   test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.101s)
2022-11-23T02:19:20.5431680Z   test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.026s)
2022-11-23T02:19:20.5432054Z   test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.081s)
2022-11-23T02:19:20.5432393Z   test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.042s)
2022-11-23T02:19:20.5432748Z   test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.041s)
2022-11-23T02:19:20.5433099Z   test_non_contiguous_tensors_nn_ConvTranspose3d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.136s)
2022-11-23T02:19:20.5433457Z   test_non_contiguous_tensors_nn_ConvTranspose3d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.027s)
2022-11-23T02:19:20.5433829Z   test_non_contiguous_tensors_nn_ConvTranspose3d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.113s)
2022-11-23T02:19:20.5434182Z   test_non_contiguous_tensors_nn_ConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.056s)
2022-11-23T02:19:20.5434530Z   test_non_contiguous_tensors_nn_ConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.055s)
2022-11-23T02:19:20.5434871Z   test_non_contiguous_tensors_nn_CrossEntropyLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.136s)
2022-11-23T02:19:20.5435231Z   test_non_contiguous_tensors_nn_CrossEntropyLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.150s)
2022-11-23T02:19:20.5435570Z   test_non_contiguous_tensors_nn_ELU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.031s)
2022-11-23T02:19:20.5435888Z   test_non_contiguous_tensors_nn_ELU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.029s)
2022-11-23T02:19:20.5436203Z   test_non_contiguous_tensors_nn_Embedding_cpu_float32 (__main__.TestModuleCPU) ... ok (0.059s)
2022-11-23T02:19:20.5436533Z   test_non_contiguous_tensors_nn_Embedding_cpu_float64 (__main__.TestModuleCPU) ... ok (0.061s)
2022-11-23T02:19:20.5436867Z   test_non_contiguous_tensors_nn_GRUCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.063s)
2022-11-23T02:19:20.5437373Z   test_non_contiguous_tensors_nn_GRUCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.061s)
2022-11-23T02:19:20.5437715Z   test_non_contiguous_tensors_nn_GRU_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (2.045s)
2022-11-23T02:19:20.5438055Z   test_non_contiguous_tensors_nn_GRU_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (1.965s)
2022-11-23T02:19:20.5438403Z   test_non_contiguous_tensors_nn_GRU_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (1.976s)
2022-11-23T02:19:20.5438731Z   test_non_contiguous_tensors_nn_GRU_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (1.946s)
2022-11-23T02:19:20.5439081Z   test_non_contiguous_tensors_nn_GaussianNLLLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.069s)
2022-11-23T02:19:20.5439433Z   test_non_contiguous_tensors_nn_GaussianNLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.066s)
2022-11-23T02:19:20.5439773Z   test_non_contiguous_tensors_nn_Hardswish_cpu_float32 (__main__.TestModuleCPU) ... ok (0.022s)
2022-11-23T02:19:20.5440089Z   test_non_contiguous_tensors_nn_Hardswish_cpu_float64 (__main__.TestModuleCPU) ... ok (0.021s)
2022-11-23T02:19:20.5440485Z   test_non_contiguous_tensors_nn_L1Loss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.062s)
2022-11-23T02:19:20.5440815Z   test_non_contiguous_tensors_nn_L1Loss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.065s)
2022-11-23T02:19:20.5441172Z   test_non_contiguous_tensors_nn_LSTMCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.090s)
2022-11-23T02:19:20.5441613Z   test_non_contiguous_tensors_nn_LSTMCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.088s)
2022-11-23T02:19:20.5442177Z   test_non_contiguous_tensors_nn_LSTM_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (5.579s)
2022-11-23T02:19:20.5442675Z   test_non_contiguous_tensors_nn_LSTM_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (5.440s)
2022-11-23T02:19:20.5443004Z   test_non_contiguous_tensors_nn_LSTM_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (5.527s)
2022-11-23T02:19:20.5443340Z   test_non_contiguous_tensors_nn_LSTM_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (5.467s)
2022-11-23T02:19:20.5443680Z   test_non_contiguous_tensors_nn_LazyConv1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.078s)
2022-11-23T02:19:20.5444012Z   test_non_contiguous_tensors_nn_LazyConv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.071s)
2022-11-23T02:19:20.5444331Z   test_non_contiguous_tensors_nn_LazyConv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.079s)
2022-11-23T02:19:20.5444655Z   test_non_contiguous_tensors_nn_LazyConv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.075s)
2022-11-23T02:19:20.5444985Z   test_non_contiguous_tensors_nn_LazyConv3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.090s)
2022-11-23T02:19:20.5445295Z   test_non_contiguous_tensors_nn_LazyConv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.113s)
2022-11-23T02:19:20.5445645Z   test_non_contiguous_tensors_nn_LazyConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.042s)
2022-11-23T02:19:20.5446010Z   test_non_contiguous_tensors_nn_LazyConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.040s)
2022-11-23T02:19:20.5446373Z   test_non_contiguous_tensors_nn_LazyConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.046s)
2022-11-23T02:19:20.5446723Z   test_non_contiguous_tensors_nn_LazyConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.043s)
2022-11-23T02:19:20.5447086Z   test_non_contiguous_tensors_nn_LazyConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.054s)
2022-11-23T02:19:20.5447445Z   test_non_contiguous_tensors_nn_LazyConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.053s)
2022-11-23T02:19:20.5447790Z   test_non_contiguous_tensors_nn_Linear_cpu_float32 (__main__.TestModuleCPU) ... ok (0.048s)
2022-11-23T02:19:20.5448098Z   test_non_contiguous_tensors_nn_Linear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.046s)
2022-11-23T02:19:20.5448452Z   test_non_contiguous_tensors_nn_MultiheadAttention_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (3.808s)
2022-11-23T02:19:20.5448827Z   test_non_contiguous_tensors_nn_MultiheadAttention_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (3.648s)
2022-11-23T02:19:20.5449196Z   test_non_contiguous_tensors_nn_MultiheadAttention_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (3.724s)
2022-11-23T02:19:20.5449574Z   test_non_contiguous_tensors_nn_MultiheadAttention_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (3.536s)
2022-11-23T02:19:20.5449926Z   test_non_contiguous_tensors_nn_NLLLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.075s)
2022-11-23T02:19:20.5450249Z   test_non_contiguous_tensors_nn_NLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.071s)
2022-11-23T02:19:20.5450560Z   test_non_contiguous_tensors_nn_RNNCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.102s)
2022-11-23T02:19:20.5450880Z   test_non_contiguous_tensors_nn_RNNCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.073s)
2022-11-23T02:19:20.5451207Z   test_non_contiguous_tensors_nn_RNN_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (2.465s)
2022-11-23T02:19:20.5451544Z   test_non_contiguous_tensors_nn_RNN_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (2.423s)
2022-11-23T02:19:20.5451937Z   test_non_contiguous_tensors_nn_RNN_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (2.511s)
2022-11-23T02:19:20.5452303Z   test_non_contiguous_tensors_nn_RNN_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (2.397s)
2022-11-23T02:19:20.5452629Z   test_non_contiguous_tensors_nn_ReLU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.032s)
2022-11-23T02:19:20.5452934Z   test_non_contiguous_tensors_nn_ReLU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.030s)
2022-11-23T02:19:20.5453253Z   test_non_contiguous_tensors_nn_Sigmoid_cpu_float32 (__main__.TestModuleCPU) ... ok (0.024s)
2022-11-23T02:19:20.5453578Z   test_non_contiguous_tensors_nn_Sigmoid_cpu_float64 (__main__.TestModuleCPU) ... ok (0.023s)
2022-11-23T02:19:20.5453937Z   test_non_contiguous_tensors_nn_TransformerDecoderLayer_cpu_float32 (__main__.TestModuleCPU) ... ok (1.837s)
2022-11-23T02:19:20.5454304Z   test_non_contiguous_tensors_nn_TransformerDecoderLayer_cpu_float64 (__main__.TestModuleCPU) ... ok (1.722s)
2022-11-23T02:19:20.5454696Z   test_non_contiguous_tensors_nn_TransformerEncoderLayer_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (1.298s)
2022-11-23T02:19:20.5455097Z   test_non_contiguous_tensors_nn_TransformerEncoderLayer_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (1.252s)
2022-11-23T02:19:20.5455494Z   test_non_contiguous_tensors_nn_TransformerEncoderLayer_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (1.161s)
2022-11-23T02:19:20.5455879Z   test_non_contiguous_tensors_nn_TransformerEncoderLayer_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (1.116s)
2022-11-23T02:19:20.5456247Z   test_non_contiguous_tensors_nn_Transformer_cpu_float32 (__main__.TestModuleCPU) ... ok (2.879s)
2022-11-23T02:19:20.5456579Z   test_non_contiguous_tensors_nn_Transformer_cpu_float64 (__main__.TestModuleCPU) ... ok (2.610s)
2022-11-23T02:19:20.5456911Z   test_pickle_ao_nn_quantized_MaxPool2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.008s)
2022-11-23T02:19:20.5457229Z   test_pickle_ao_nn_quantized_MaxPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.007s)
2022-11-23T02:19:20.5457554Z   test_pickle_nn_AdaptiveAvgPool2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5457882Z   test_pickle_nn_AdaptiveAvgPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5458181Z   test_pickle_nn_AvgPool1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5458477Z   test_pickle_nn_AvgPool1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5458789Z   test_pickle_nn_BatchNorm2d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5459110Z   test_pickle_nn_BatchNorm2d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5459417Z   test_pickle_nn_BatchNorm2d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5459826Z   test_pickle_nn_BatchNorm2d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5460150Z   test_pickle_nn_BatchNorm3d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5460456Z   test_pickle_nn_BatchNorm3d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5460775Z   test_pickle_nn_BatchNorm3d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5461100Z   test_pickle_nn_BatchNorm3d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5461407Z   test_pickle_nn_Bilinear_cpu_float32 (__main__.TestModuleCPU) ... ok (0.015s)
2022-11-23T02:19:20.5461690Z   test_pickle_nn_Bilinear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.015s)
2022-11-23T02:19:20.5461982Z   test_pickle_nn_Conv1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.014s)
2022-11-23T02:19:20.5462273Z   test_pickle_nn_Conv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.014s)
2022-11-23T02:19:20.5462547Z   test_pickle_nn_Conv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.014s)
2022-11-23T02:19:20.5462871Z   test_pickle_nn_Conv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.014s)
2022-11-23T02:19:20.5463160Z   test_pickle_nn_Conv3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.015s)
2022-11-23T02:19:20.5463478Z   test_pickle_nn_Conv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.015s)
2022-11-23T02:19:20.5463771Z   test_pickle_nn_ConvTranspose1d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.012s)
2022-11-23T02:19:20.5464113Z   test_pickle_nn_ConvTranspose1d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.024s)
2022-11-23T02:19:20.5464454Z   test_pickle_nn_ConvTranspose1d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.013s)
2022-11-23T02:19:20.5464762Z   test_pickle_nn_ConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.008s)
2022-11-23T02:19:20.5465077Z   test_pickle_nn_ConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.008s)
2022-11-23T02:19:20.5465398Z   test_pickle_nn_ConvTranspose2d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.013s)
2022-11-23T02:19:20.5465742Z   test_pickle_nn_ConvTranspose2d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.024s)
2022-11-23T02:19:20.5466068Z   test_pickle_nn_ConvTranspose2d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.014s)
2022-11-23T02:19:20.5466386Z   test_pickle_nn_ConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.008s)
2022-11-23T02:19:20.5466699Z   test_pickle_nn_ConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.008s)
2022-11-23T02:19:20.5467012Z   test_pickle_nn_ConvTranspose3d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.019s)
2022-11-23T02:19:20.5467340Z   test_pickle_nn_ConvTranspose3d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.024s)
2022-11-23T02:19:20.5467676Z   test_pickle_nn_ConvTranspose3d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.020s)
2022-11-23T02:19:20.5467993Z   test_pickle_nn_ConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.011s)
2022-11-23T02:19:20.5468296Z   test_pickle_nn_ConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.035s)
2022-11-23T02:19:20.5468609Z   test_pickle_nn_CrossEntropyLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.026s)
2022-11-23T02:19:20.5468933Z   test_pickle_nn_CrossEntropyLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.024s)
2022-11-23T02:19:20.5469237Z   test_pickle_nn_ELU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.007s)
2022-11-23T02:19:20.5469506Z   test_pickle_nn_ELU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.007s)
2022-11-23T02:19:20.5469793Z   test_pickle_nn_Embedding_cpu_float32 (__main__.TestModuleCPU) ... ok (0.011s)
2022-11-23T02:19:20.5470087Z   test_pickle_nn_Embedding_cpu_float64 (__main__.TestModuleCPU) ... ok (0.011s)
2022-11-23T02:19:20.5470369Z   test_pickle_nn_GRUCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.011s)
2022-11-23T02:19:20.5470661Z   test_pickle_nn_GRUCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.011s)
2022-11-23T02:19:20.5470961Z   test_pickle_nn_GRU_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.229s)
2022-11-23T02:19:20.5471266Z   test_pickle_nn_GRU_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.232s)
2022-11-23T02:19:20.5471558Z   test_pickle_nn_GRU_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.260s)
2022-11-23T02:19:20.5471868Z   test_pickle_nn_GRU_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.232s)
2022-11-23T02:19:20.5472180Z   test_pickle_nn_GaussianNLLLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.011s)
2022-11-23T02:19:20.5472482Z   test_pickle_nn_GaussianNLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.011s)
2022-11-23T02:19:20.5472790Z   test_pickle_nn_Hardswish_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5473087Z   test_pickle_nn_Hardswish_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5473384Z   test_pickle_nn_L1Loss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.010s)
2022-11-23T02:19:20.5473660Z   test_pickle_nn_L1Loss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.009s)
2022-11-23T02:19:20.5473992Z   test_pickle_nn_LSTMCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.012s)
2022-11-23T02:19:20.5474285Z   test_pickle_nn_LSTMCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.012s)
2022-11-23T02:19:20.5474602Z   test_pickle_nn_LSTM_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.483s)
2022-11-23T02:19:20.5474908Z   test_pickle_nn_LSTM_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.459s)
2022-11-23T02:19:20.5475214Z   test_pickle_nn_LSTM_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.474s)
2022-11-23T02:19:20.5475523Z   test_pickle_nn_LSTM_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.494s)
2022-11-23T02:19:20.5475812Z   test_pickle_nn_LazyConv1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.017s)
2022-11-23T02:19:20.5476113Z   test_pickle_nn_LazyConv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.017s)
2022-11-23T02:19:20.5476409Z   test_pickle_nn_LazyConv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.016s)
2022-11-23T02:19:20.5476696Z   test_pickle_nn_LazyConv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.016s)
2022-11-23T02:19:20.5476998Z   test_pickle_nn_LazyConv3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.018s)
2022-11-23T02:19:20.5477457Z   test_pickle_nn_LazyConv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.018s)
2022-11-23T02:19:20.5477775Z   test_pickle_nn_LazyConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.009s)
2022-11-23T02:19:20.5478096Z   test_pickle_nn_LazyConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.009s)
2022-11-23T02:19:20.5478422Z   test_pickle_nn_LazyConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.010s)
2022-11-23T02:19:20.5478751Z   test_pickle_nn_LazyConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.010s)
2022-11-23T02:19:20.5479065Z   test_pickle_nn_LazyConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.012s)
2022-11-23T02:19:20.5479394Z   test_pickle_nn_LazyConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.012s)
2022-11-23T02:19:20.5479707Z   test_pickle_nn_Linear_cpu_float32 (__main__.TestModuleCPU) ... ok (0.010s)
2022-11-23T02:19:20.5479997Z   test_pickle_nn_Linear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.010s)
2022-11-23T02:19:20.5480309Z   test_pickle_nn_MultiheadAttention_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.499s)
2022-11-23T02:19:20.5480712Z   test_pickle_nn_MultiheadAttention_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.520s)
2022-11-23T02:19:20.5481131Z   test_pickle_nn_MultiheadAttention_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.516s)
2022-11-23T02:19:20.5481500Z   test_pickle_nn_MultiheadAttention_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.486s)
2022-11-23T02:19:20.5481903Z   test_pickle_nn_NLLLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.014s)
2022-11-23T02:19:20.5482365Z   test_pickle_nn_NLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.014s)
2022-11-23T02:19:20.5482679Z   test_pickle_nn_RNNCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.013s)
2022-11-23T02:19:20.5483060Z   test_pickle_nn_RNNCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.013s)
2022-11-23T02:19:20.5483425Z   test_pickle_nn_RNN_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.303s)
2022-11-23T02:19:20.5483749Z   test_pickle_nn_RNN_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.279s)
2022-11-23T02:19:20.5498990Z   test_pickle_nn_RNN_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.279s)
2022-11-23T02:19:20.5499423Z   test_pickle_nn_RNN_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.315s)
2022-11-23T02:19:20.5499805Z   test_pickle_nn_ReLU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5500090Z   test_pickle_nn_ReLU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s)
2022-11-23T02:19:20.5500388Z   test_pickle_nn_Sigmoid_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5500686Z   test_pickle_nn_Sigmoid_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s)
2022-11-23T02:19:20.5501132Z   test_pickle_nn_TransformerDecoderLayer_cpu_float32 (__main__.TestModuleCPU) ... ok (0.289s)
2022-11-23T02:19:20.5501488Z   test_pickle_nn_TransformerDecoderLayer_cpu_float64 (__main__.TestModuleCPU) ... ok (0.297s)
2022-11-23T02:19:20.5501895Z   test_pickle_nn_TransformerEncoderLayer_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.234s)
2022-11-23T02:19:20.5502268Z   test_pickle_nn_TransformerEncoderLayer_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.215s)
2022-11-23T02:19:20.5502626Z   test_pickle_nn_TransformerEncoderLayer_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.191s)
2022-11-23T02:19:20.5502992Z   test_pickle_nn_TransformerEncoderLayer_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.201s)
2022-11-23T02:19:20.5503325Z   test_pickle_nn_Transformer_cpu_float32 (__main__.TestModuleCPU) ... ok (0.526s)
2022-11-23T02:19:20.5503618Z   test_pickle_nn_Transformer_cpu_float64 (__main__.TestModuleCPU) ... ok (0.509s)
2022-11-23T02:19:20.5503936Z   test_repr_ao_nn_quantized_MaxPool2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5504260Z   test_repr_ao_nn_quantized_MaxPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5504584Z   test_repr_nn_AdaptiveAvgPool2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.001s)
2022-11-23T02:19:20.5504891Z   test_repr_nn_AdaptiveAvgPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.001s)
2022-11-23T02:19:20.5505200Z   test_repr_nn_AvgPool1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.001s)
2022-11-23T02:19:20.5505490Z   test_repr_nn_AvgPool1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.001s)
2022-11-23T02:19:20.5505803Z   test_repr_nn_BatchNorm2d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5506108Z   test_repr_nn_BatchNorm2d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5506422Z   test_repr_nn_BatchNorm2d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5506743Z   test_repr_nn_BatchNorm2d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5507044Z   test_repr_nn_BatchNorm3d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5507362Z   test_repr_nn_BatchNorm3d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5507677Z   test_repr_nn_BatchNorm3d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5507995Z   test_repr_nn_BatchNorm3d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5508285Z   test_repr_nn_Bilinear_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5508580Z   test_repr_nn_Bilinear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5508866Z   test_repr_nn_Conv1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5509137Z   test_repr_nn_Conv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5509419Z   test_repr_nn_Conv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.022s)
2022-11-23T02:19:20.5509698Z   test_repr_nn_Conv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5509977Z   test_repr_nn_Conv3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5510238Z   test_repr_nn_Conv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5510538Z   test_repr_nn_ConvTranspose1d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5510856Z   test_repr_nn_ConvTranspose1d_cpu_complex32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5511159Z   test_repr_nn_ConvTranspose1d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5511472Z   test_repr_nn_ConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5511779Z   test_repr_nn_ConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5512127Z   test_repr_nn_ConvTranspose2d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5512427Z   test_repr_nn_ConvTranspose2d_cpu_complex32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5512767Z   test_repr_nn_ConvTranspose2d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5513076Z   test_repr_nn_ConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5513376Z   test_repr_nn_ConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5513688Z   test_repr_nn_ConvTranspose3d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5513999Z   test_repr_nn_ConvTranspose3d_cpu_complex32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5514308Z   test_repr_nn_ConvTranspose3d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5514603Z   test_repr_nn_ConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5514908Z   test_repr_nn_ConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5515223Z   test_repr_nn_CrossEntropyLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5515523Z   test_repr_nn_CrossEntropyLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5515817Z   test_repr_nn_ELU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5516093Z   test_repr_nn_ELU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5516378Z   test_repr_nn_Embedding_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5516658Z   test_repr_nn_Embedding_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5516947Z   test_repr_nn_GRUCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5517417Z   test_repr_nn_GRUCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5517697Z   test_repr_nn_GRU_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.018s)
2022-11-23T02:19:20.5517999Z   test_repr_nn_GRU_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.022s)
2022-11-23T02:19:20.5518298Z   test_repr_nn_GRU_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.018s)
2022-11-23T02:19:20.5518600Z   test_repr_nn_GRU_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.022s)
2022-11-23T02:19:20.5518894Z   test_repr_nn_GaussianNLLLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5519205Z   test_repr_nn_GaussianNLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5519506Z   test_repr_nn_Hardswish_cpu_float32 (__main__.TestModuleCPU) ... ok (0.001s)
2022-11-23T02:19:20.5519785Z   test_repr_nn_Hardswish_cpu_float64 (__main__.TestModuleCPU) ... ok (0.001s)
2022-11-23T02:19:20.5520073Z   test_repr_nn_L1Loss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5520361Z   test_repr_nn_L1Loss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5520652Z   test_repr_nn_LSTMCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5520930Z   test_repr_nn_LSTMCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5521226Z   test_repr_nn_LSTM_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.038s)
2022-11-23T02:19:20.5521522Z   test_repr_nn_LSTM_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.048s)
2022-11-23T02:19:20.5521808Z   test_repr_nn_LSTM_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.038s)
2022-11-23T02:19:20.5522107Z   test_repr_nn_LSTM_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.047s)
2022-11-23T02:19:20.5522407Z   test_repr_nn_LazyConv1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5522703Z   test_repr_nn_LazyConv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5522984Z   test_repr_nn_LazyConv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5523358Z   test_repr_nn_LazyConv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5523493Z   test_repr_nn_LazyConv3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5523629Z   test_repr_nn_LazyConv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5523817Z   test_repr_nn_LazyConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5523962Z   test_repr_nn_LazyConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5524116Z   test_repr_nn_LazyConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5524268Z   test_repr_nn_LazyConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5524417Z   test_repr_nn_LazyConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5524564Z   test_repr_nn_LazyConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5524701Z   test_repr_nn_Linear_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5524833Z   test_repr_nn_Linear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5524997Z   test_repr_nn_MultiheadAttention_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.042s)
2022-11-23T02:19:20.5525163Z   test_repr_nn_MultiheadAttention_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.050s)
2022-11-23T02:19:20.5525314Z   test_repr_nn_MultiheadAttention_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.041s)
2022-11-23T02:19:20.5525475Z   test_repr_nn_MultiheadAttention_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.049s)
2022-11-23T02:19:20.5525607Z   test_repr_nn_NLLLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s)
2022-11-23T02:19:20.5525739Z   test_repr_nn_NLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5525866Z   test_repr_nn_RNNCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5525996Z   test_repr_nn_RNNCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s)
2022-11-23T02:19:20.5526136Z   test_repr_nn_RNN_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.034s)
2022-11-23T02:19:20.5526291Z   test_repr_nn_RNN_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.042s)
2022-11-23T02:19:20.5526420Z   test_repr_nn_RNN_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.033s)
2022-11-23T02:19:20.5526556Z   test_repr_nn_RNN_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.042s)
2022-11-23T02:19:20.5526684Z   test_repr_nn_ReLU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5526811Z   test_repr_nn_ReLU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5526941Z   test_repr_nn_Sigmoid_cpu_float32 (__main__.TestModuleCPU) ... ok (0.001s)
2022-11-23T02:19:20.5527070Z   test_repr_nn_Sigmoid_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s)
2022-11-23T02:19:20.5527232Z   test_repr_nn_TransformerDecoderLayer_cpu_float32 (__main__.TestModuleCPU) ... ok (0.041s)
2022-11-23T02:19:20.5527395Z   test_repr_nn_TransformerDecoderLayer_cpu_float64 (__main__.TestModuleCPU) ... ok (0.050s)
2022-11-23T02:19:20.5527558Z   test_repr_nn_TransformerEncoderLayer_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.032s)
2022-11-23T02:19:20.5527735Z   test_repr_nn_TransformerEncoderLayer_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.039s)
2022-11-23T02:19:20.5527908Z   test_repr_nn_TransformerEncoderLayer_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.029s)
2022-11-23T02:19:20.5528084Z   test_repr_nn_TransformerEncoderLayer_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.035s)
2022-11-23T02:19:20.5528222Z   test_repr_nn_Transformer_cpu_float32 (__main__.TestModuleCPU) ... ok (0.150s)
2022-11-23T02:19:20.5528361Z   test_repr_nn_Transformer_cpu_float64 (__main__.TestModuleCPU) ... ok (0.136s)
2022-11-23T02:19:20.5528370Z 
2022-11-23T02:19:20.5528650Z ----------------------------------------------------------------------
2022-11-23T02:19:20.5528765Z Ran 972 tests in 774.981s
2022-11-23T02:19:20.5528770Z 
2022-11-23T02:19:20.5528866Z OK (skipped=226, expected failures=31)
2022-11-23T02:19:20.5528872Z 
2022-11-23T02:19:20.5528943Z Generating XML reports...
2022-11-23T02:19:20.5529271Z Generated XML report: test-reports/python-unittest/test_modules/TEST-TestModuleCPU-20221123020624.xml
2022-11-23T02:19:20.5529276Z 
2022-11-23T02:19:20.5529653Z ##[endgroup]
2022-11-23T02:19:20.5529929Z FINISHED PRINTING LOG FILE of test_modules (/var/lib/jenkins/workspace/test/test-reports/test_modules_gcweew05)
2022-11-23T02:19:20.5529934Z 
2022-11-23T02:19:20.5530094Z Running test_dispatch ... [2022-11-23 02:19:20.507360]
2022-11-23T02:19:20.5530424Z Executing ['/opt/conda/bin/python', '-bb', 'test_dispatch.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:19:20.507845]
2022-11-23T02:21:23.1398004Z 
2022-11-23T02:21:23.1398423Z Expand the folded group to see the log file of test_dispatch
2022-11-23T02:21:23.1399196Z ##[group]PRINTING LOG FILE of test_dispatch (/var/lib/jenkins/workspace/test/test-reports/test_dispatch_9iwpgklo)
2022-11-23T02:21:23.1399992Z Test results will be stored in test-reports/python-unittest/test_dispatch
2022-11-23T02:21:23.1400603Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda'
2022-11-23T02:21:23.1400895Z 
2022-11-23T02:21:23.1400992Z Running tests...
2022-11-23T02:21:23.1401337Z ----------------------------------------------------------------------
2022-11-23T02:21:23.1401826Z   test_all_invariants (__main__.TestDispatch) ... ok (0.468s)
2022-11-23T02:21:23.1402300Z   test_computed_table (__main__.TestDispatch) ... ok (37.023s)
2022-11-23T02:21:23.1402802Z   test_computed_table_with_ambiguous_autogradother (__main__.TestDispatch) ... ok (0.058s)
2022-11-23T02:21:23.1403118Z   test_computed_table_with_autograd (__main__.TestDispatch) ... ok (0.005s)
2022-11-23T02:21:23.1403502Z   test_computed_table_with_cpu_autograd_defaultbackend (__main__.TestDispatch) ... ok (1.078s)
2022-11-23T02:21:23.1403843Z   test_computed_table_with_cpu_autograd_math (__main__.TestDispatch) ... ok (1.198s)
2022-11-23T02:21:23.1404202Z   test_computed_table_with_cpu_autograd_math_defaultbackend (__main__.TestDispatch) ... ok (35.191s)
2022-11-23T02:21:23.1404555Z   test_computed_table_with_cpu_defaultbackend (__main__.TestDispatch) ... ok (0.058s)
2022-11-23T02:21:23.1404864Z   test_computed_table_with_cpu_math (__main__.TestDispatch) ... ok (0.055s)
2022-11-23T02:21:23.1405234Z   test_computed_table_with_cpu_math_autogradcpu_fallthrough (__main__.TestDispatch) ... ok (0.006s)
2022-11-23T02:21:23.1405555Z   test_computed_table_with_math (__main__.TestDispatch) ... ok (0.006s)
2022-11-23T02:21:23.1405814Z   test_def (__main__.TestDispatch) ... ok (36.278s)
2022-11-23T02:21:23.1406074Z   test_def_impl_schema_mismatch (__main__.TestDispatch) ... ok (0.024s)
2022-11-23T02:21:23.1406324Z   test_def_only (__main__.TestDispatch) ... ok (0.002s)
2022-11-23T02:21:23.1406590Z   test_def_with_explicit_alias (__main__.TestDispatch) ... ok (0.002s)
2022-11-23T02:21:23.1406869Z   test_def_with_inference (__main__.TestDispatch) ... ok (1.195s)
2022-11-23T02:21:23.1407252Z   test_dispatch_print_registrations_for_dispatch_key_invalid (__main__.TestDispatch) ... ok (0.003s)
2022-11-23T02:21:23.1407724Z   test_find_dangling_impls (__main__.TestDispatch) ... ok (0.001s)
2022-11-23T02:21:23.1408095Z   test_find_dangling_impls_ext (__main__.TestDispatch) ... Using /var/lib/jenkins/.cache/torch_extensions/py37_cpu as PyTorch extensions root...
2022-11-23T02:21:23.1408500Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py37_cpu/dangling_impl_extension...
2022-11-23T02:21:23.1408871Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py37_cpu/dangling_impl_extension/build.ninja...
2022-11-23T02:21:23.1409191Z Building extension module dangling_impl_extension...
2022-11-23T02:21:23.1409449Z Using envvar MAX_JOBS (6) as the number of workers...
2022-11-23T02:21:23.1411096Z [1/2] c++ -MMD -MF dangling_impl_extension.o.d -DTORCH_EXTENSION_NAME=dangling_impl_extension -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -isystem /opt/conda/lib/python3.7/site-packages/torch/include -isystem /opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.7/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.7/site-packages/torch/include/THC -isystem /opt/conda/include/python3.7m -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -g -c /var/lib/jenkins/workspace/test/cpp_extensions/dangling_impl_extension.cpp -o dangling_impl_extension.o 
2022-11-23T02:21:23.1412319Z [2/2] c++ dangling_impl_extension.o -shared -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o dangling_impl_extension.so
2022-11-23T02:21:23.1412688Z Loading extension module dangling_impl_extension...
2022-11-23T02:21:23.1412888Z ok (3.482s)
2022-11-23T02:21:23.1413104Z   test_impl_only (__main__.TestDispatch) ... ok (1.232s)
2022-11-23T02:21:23.1413384Z   test_multiple_def_alias_defaulting (__main__.TestDispatch) ... ok (0.020s)
2022-11-23T02:21:23.1413687Z   test_multiple_def_alias_mismatch (__main__.TestDispatch) ... ok (0.019s)
2022-11-23T02:21:23.1413962Z   test_multiple_def_error (__main__.TestDispatch) ... ok (0.020s)
2022-11-23T02:21:23.1414234Z   test_multiple_fallback (__main__.TestDispatch) ... ok (0.027s)
2022-11-23T02:21:23.1414629Z   test_overwrite_math (__main__.TestDispatch) ... [W OperatorEntry.cpp:159] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key
2022-11-23T02:21:23.1414969Z   operator: __test45643__::foo
2022-11-23T02:21:23.1415153Z     no debug info
2022-11-23T02:21:23.1415334Z   dispatch key: (catch all)
2022-11-23T02:21:23.1415514Z   previous kernel: fn1
2022-11-23T02:21:23.1415731Z        new kernel: fn2 (function registerKernel)
2022-11-23T02:21:23.1416097Z [W OperatorEntry.cpp:159] Warning: Overriding a previously registered kernel for the same operator and the same dispatch key
2022-11-23T02:21:23.1416405Z   operator: __test45644__::foo
2022-11-23T02:21:23.1416577Z     no debug info
2022-11-23T02:21:23.1416758Z   dispatch key: (catch all)
2022-11-23T02:21:23.1416949Z   previous kernel: fn1
2022-11-23T02:21:23.1417155Z        new kernel: fn2 (function registerKernel)
2022-11-23T02:21:23.1417353Z ok (0.004s)
2022-11-23T02:21:23.1417584Z   test_autogradother (__main__.TestPythonDispatcher) ... ok (0.002s)
2022-11-23T02:21:23.1417859Z   test_basic (__main__.TestPythonDispatcher) ... ok (0.002s)
2022-11-23T02:21:23.1418167Z   test_defaultbackend_autogradcpu (__main__.TestPythonDispatcher) ... ok (0.002s)
2022-11-23T02:21:23.1418494Z   test_defaultbackend_math (__main__.TestPythonDispatcher) ... ok (0.001s)
2022-11-23T02:21:23.1418819Z   test_duplicate_registrations (__main__.TestPythonDispatcher) ... ok (0.001s)
2022-11-23T02:21:23.1419135Z   test_math_autogradcpu (__main__.TestPythonDispatcher) ... ok (0.002s)
2022-11-23T02:21:23.1419547Z   test_quantized_structured_not_implemented (__main__.TestPythonDispatcher) ... ok (0.032s)
2022-11-23T02:21:23.1419735Z 
2022-11-23T02:21:23.1419942Z ----------------------------------------------------------------------
2022-11-23T02:21:23.1420186Z Ran 32 tests in 117.501s
2022-11-23T02:21:23.1420303Z 
2022-11-23T02:21:23.1420363Z OK
2022-11-23T02:21:23.1420442Z 
2022-11-23T02:21:23.1420527Z Generating XML reports...
2022-11-23T02:21:23.1420923Z Generated XML report: test-reports/python-unittest/test_dispatch/TEST-TestDispatch-20221123021924.xml
2022-11-23T02:21:23.1421440Z Generated XML report: test-reports/python-unittest/test_dispatch/TEST-TestPythonDispatcher-20221123021924.xml
2022-11-23T02:21:23.1421679Z 
2022-11-23T02:21:23.1421930Z ##[endgroup]
2022-11-23T02:21:23.1422303Z FINISHED PRINTING LOG FILE of test_dispatch (/var/lib/jenkins/workspace/test/test-reports/test_dispatch_9iwpgklo)
2022-11-23T02:21:23.1422515Z 
2022-11-23T02:21:23.1422725Z Running nn/test_pooling ... [2022-11-23 02:21:23.140283]
2022-11-23T02:21:23.1423178Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_pooling.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:21:23.140658]
2022-11-23T02:23:26.3178328Z 
2022-11-23T02:23:26.3179572Z Expand the folded group to see the log file of nn/test_pooling
2022-11-23T02:23:26.3203219Z ##[group]PRINTING LOG FILE of nn/test_pooling (/var/lib/jenkins/workspace/test/test-reports/nn-test_pooling_8wcr34jn)
2022-11-23T02:23:26.3204029Z Test results will be stored in test-reports/python-unittest/nn.test_pooling
2022-11-23T02:23:26.3204324Z 
2022-11-23T02:23:26.3204387Z Running tests...
2022-11-23T02:23:26.3204780Z ----------------------------------------------------------------------
2022-11-23T02:23:26.3205269Z   test_avg_pool1d_ceil_mode (__main__.TestAvgPool) ... ok (0.004s)
2022-11-23T02:23:26.3205636Z   test_avg_pool2d_ceil_mode (__main__.TestAvgPool) ... ok (0.002s)
2022-11-23T02:23:26.3206060Z   test_avg_pool3d_ceil_mode (__main__.TestAvgPool) ... ok (0.002s)
2022-11-23T02:23:26.3206490Z   test_doubletensor_avg_pool2d (__main__.TestAvgPool) ... ok (0.036s)
2022-11-23T02:23:26.3206791Z   test_doubletensor_avg_pool2d_with_divisor (__main__.TestAvgPool) ... ok (0.022s)
2022-11-23T02:23:26.3207089Z   test_doubletensor_avg_pool3d (__main__.TestAvgPool) ... ok (0.248s)
2022-11-23T02:23:26.3207383Z   test_doubletensor_avg_pool3d_with_divisor (__main__.TestAvgPool) ... ok (0.795s)
2022-11-23T02:23:26.3207681Z   test_MaxUnpool2d_output_size (__main__.TestPoolingNN) ... ok (0.022s)
2022-11-23T02:23:26.3208010Z   test_adaptive_pooling_avg_nhwc (__main__.TestPoolingNN) ... ok (0.009s)
2022-11-23T02:23:26.3208349Z   test_adaptive_pooling_avg_nhwc_launch_config_backward (__main__.TestPoolingNN) ... skip: CUDA unavailable (0.002s)
2022-11-23T02:23:26.3208790Z   test_adaptive_pooling_avg_nhwc_launch_config_forward (__main__.TestPoolingNN) ... skip: CUDA unavailable (0.001s)
2022-11-23T02:23:26.3271776Z   test_adaptive_pooling_avg_nhwc_non_contiguous (__main__.TestPoolingNN) ... ok (0.006s)
2022-11-23T02:23:26.3272343Z   test_adaptive_pooling_bfloat16 (__main__.TestPoolingNN) ... ok (0.029s)
2022-11-23T02:23:26.3272880Z   test_adaptive_pooling_input_size (__main__.TestPoolingNN) ... ok (0.002s)
2022-11-23T02:23:26.3273233Z   test_adaptive_pooling_size_none (__main__.TestPoolingNN) ... ok (0.003s)
2022-11-23T02:23:26.3273693Z   test_adaptive_pooling_size_overflow (__main__.TestPoolingNN) ... skip: signed integer overflow error with UBSAN (0.000s)
2022-11-23T02:23:26.3274603Z   test_max_unpool (__main__.TestPoolingNN) ... ok (1.342s)
2022-11-23T02:23:26.3275163Z   test_max_unpool2d_nhwc_cpu (__main__.TestPoolingNN) ... ok (0.006s)
2022-11-23T02:23:26.3275779Z   test_AdaptiveMaxPool1d_indices_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.017s)
2022-11-23T02:23:26.3276240Z   test_AdaptiveMaxPool2d_indices_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.015s)
2022-11-23T02:23:26.3278315Z   test_AdaptiveMaxPool3d_indices_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.014s)
2022-11-23T02:23:26.3279013Z   test_AdaptiveMaxPool_zero_batch_dim_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.031s)
2022-11-23T02:23:26.3279573Z   test_AvgPool2d_empty_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.014s)
2022-11-23T02:23:26.3279952Z   test_AvgPool3d_backward_after_cat_dim1_device_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T02:23:26.3280348Z   test_FractionalMaxPool2d_zero_batch_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.012s)
2022-11-23T02:23:26.3280725Z   test_FractionalMaxPool2d_zero_out_size_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.022s)
2022-11-23T02:23:26.3281104Z   test_FractionalMaxPool3d_zero_batch_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.012s)
2022-11-23T02:23:26.3281586Z   test_FractionalMaxPool3d_zero_out_size_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.022s)
2022-11-23T02:23:26.3282141Z   test_MaxPool1d_indices_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.016s)
2022-11-23T02:23:26.3283004Z   test_MaxPool2d_indices_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.015s)
2022-11-23T02:23:26.3283622Z   test_MaxPool3d_indices_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.014s)
2022-11-23T02:23:26.3284347Z   test_MaxPool_zero_batch_dim_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.030s)
2022-11-23T02:23:26.3285107Z   test_MaxUnpool_index_errors_case10_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.004s)
2022-11-23T02:23:26.3285802Z   test_MaxUnpool_index_errors_case1_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.004s)
2022-11-23T02:23:26.3286283Z   test_MaxUnpool_index_errors_case2_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.004s)
2022-11-23T02:23:26.3286762Z   test_MaxUnpool_index_errors_case3_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.004s)
2022-11-23T02:23:26.3287228Z   test_MaxUnpool_index_errors_case4_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.004s)
2022-11-23T02:23:26.3287696Z   test_MaxUnpool_index_errors_case5_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.004s)
2022-11-23T02:23:26.3288166Z   test_MaxUnpool_index_errors_case6_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.004s)
2022-11-23T02:23:26.3288624Z   test_MaxUnpool_index_errors_case7_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.004s)
2022-11-23T02:23:26.3289073Z   test_MaxUnpool_index_errors_case8_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.004s)
2022-11-23T02:23:26.3289545Z   test_MaxUnpool_index_errors_case9_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.004s)
2022-11-23T02:23:26.3289948Z   test_MaxUnpool_zero_batch_dim_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.009s)
2022-11-23T02:23:26.3290311Z   test_adaptive_avg_pool2d_output_size_one_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.008s)
2022-11-23T02:23:26.3290671Z   test_adaptive_avg_pool3d_output_size_one_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.003s)
2022-11-23T02:23:26.3291028Z   test_adaptive_pool_invalid_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.017s)
2022-11-23T02:23:26.3291434Z   test_adaptive_pool_odd_size_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T02:23:26.3291843Z   test_adaptive_pooling_max_nhwc_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.033s)
2022-11-23T02:23:26.3292200Z   test_adaptive_pooling_max_nhwc_cpu_float64 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.031s)
2022-11-23T02:23:26.3292567Z   test_adaptive_pooling_no_suppot_input_cpu_int16 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.045s)
2022-11-23T02:23:26.3292940Z   test_adaptive_pooling_no_suppot_input_cpu_int32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.039s)
2022-11-23T02:23:26.3293296Z   test_adaptive_pooling_no_suppot_input_cpu_int64 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.039s)
2022-11-23T02:23:26.3293669Z   test_adaptive_pooling_no_suppot_input_cpu_int8 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.039s)
2022-11-23T02:23:26.3294041Z   test_adaptive_pooling_no_suppot_input_cpu_uint8 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.039s)
2022-11-23T02:23:26.3294413Z   test_adaptive_pooling_zero_batch_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.005s)
2022-11-23T02:23:26.3294766Z   test_adaptive_pooling_zero_batch_cpu_float64 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.004s)
2022-11-23T02:23:26.3295172Z   test_avg_pool2d_bfloat16_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.033s)
2022-11-23T02:23:26.3295511Z   test_avg_pool2d_nhwc_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (22.214s)
2022-11-23T02:23:26.3295886Z   test_avg_pool2d_nhwc_cpu_float64 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (25.997s)
2022-11-23T02:23:26.3296214Z   test_fractional_max_pool2d_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.649s)
2022-11-23T02:23:26.3296557Z   test_fractional_max_pool3d_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (4.536s)
2022-11-23T02:23:26.3296913Z   test_fractional_max_pool_nan_inf_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.004s)
2022-11-23T02:23:26.3297258Z   test_max_pool1d_corner_cases_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.006s)
2022-11-23T02:23:26.3297610Z   test_max_pool1d_corner_cases_cpu_float64 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.005s)
2022-11-23T02:23:26.3297953Z   test_max_pool1d_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (3.014s)
2022-11-23T02:23:26.3298279Z   test_max_pool1d_cpu_float64 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (3.353s)
2022-11-23T02:23:26.3298605Z   test_max_pool2d_bfloat16_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.034s)
2022-11-23T02:23:26.3299047Z   test_max_pool2d_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:23:26.3299413Z   test_max_pool2d_indices_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:23:26.3299755Z   test_max_pool2d_nhwc_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (22.245s)
2022-11-23T02:23:26.3300089Z   test_max_pool2d_nhwc_cpu_float64 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (26.106s)
2022-11-23T02:23:26.3300452Z   test_max_pool3d_ndhwc_cpu_float16 (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.005s)
2022-11-23T02:23:26.3300829Z   test_max_pool3d_ndhwc_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.005s)
2022-11-23T02:23:26.3301191Z   test_max_pool3d_ndhwc_cpu_float64 (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.005s)
2022-11-23T02:23:26.3301543Z   test_max_pool_nan_inf_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.008s)
2022-11-23T02:23:26.3301890Z   test_maxpool3d_non_square_backward_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (3.231s)
2022-11-23T02:23:26.3302238Z   test_maxpool_indices_no_batch_dim_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU)
2022-11-23T02:23:26.3302559Z Check that indices with no batch dim is consistent with a single batch. ... ok (0.006s)
2022-11-23T02:23:26.3302909Z   test_pool3d_large_size_int64_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:23:26.3303292Z   test_pool3d_size_one_feature_dim_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:23:26.3303643Z   test_pool_invalid_size_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.066s)
2022-11-23T02:23:26.3303985Z   test_pool_large_size_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (3.473s)
2022-11-23T02:23:26.3304340Z   test_pooling_bfloat16_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:23:26.3304706Z   test_pooling_large_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T02:23:26.3305043Z   test_pooling_max_nhwc_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.040s)
2022-11-23T02:23:26.3305381Z   test_pooling_max_nhwc_cpu_float64 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.040s)
2022-11-23T02:23:26.3305699Z   test_pooling_shape_cpu (__main__.TestPoolingNNDeviceTypeCPU)
2022-11-23T02:23:26.3305996Z Test the output shape calculation for pooling functions ... ok (0.007s)
2022-11-23T02:23:26.3306298Z   test_pooling_size_empty_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.035s)
2022-11-23T02:23:26.3306674Z   test_pooling_zero_stride_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.127s)
2022-11-23T02:23:26.3306860Z 
2022-11-23T02:23:26.3307135Z ----------------------------------------------------------------------
2022-11-23T02:23:26.3307365Z Ran 88 tests in 118.377s
2022-11-23T02:23:26.3307480Z 
2022-11-23T02:23:26.3307590Z OK (skipped=24)
2022-11-23T02:23:26.3307697Z 
2022-11-23T02:23:26.3307780Z Generating XML reports...
2022-11-23T02:23:26.3308196Z Generated XML report: test-reports/python-unittest/nn.test_pooling/TEST-TestAvgPool-20221123022127.xml
2022-11-23T02:23:26.3308677Z Generated XML report: test-reports/python-unittest/nn.test_pooling/TEST-TestPoolingNN-20221123022127.xml
2022-11-23T02:23:26.3309209Z Generated XML report: test-reports/python-unittest/nn.test_pooling/TEST-TestPoolingNNDeviceTypeCPU-20221123022127.xml
2022-11-23T02:23:26.3309469Z 
2022-11-23T02:23:26.3309858Z ##[endgroup]
2022-11-23T02:23:26.3310229Z FINISHED PRINTING LOG FILE of nn/test_pooling (/var/lib/jenkins/workspace/test/test-reports/nn-test_pooling_8wcr34jn)
2022-11-23T02:23:26.3310443Z 
2022-11-23T02:23:26.3310600Z Running test_autograd ... [2022-11-23 02:23:26.318298]
2022-11-23T02:23:26.3311062Z Executing ['/opt/conda/bin/python', '-bb', 'test_autograd.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:23:26.318750]
2022-11-23T02:24:39.6463835Z 
2022-11-23T02:24:39.6464370Z Expand the folded group to see the log file of test_autograd
2022-11-23T02:24:39.6465367Z ##[group]PRINTING LOG FILE of test_autograd (/var/lib/jenkins/workspace/test/test-reports/test_autograd_tq3vfwhs)
2022-11-23T02:24:39.6466837Z Test results will be stored in test-reports/python-unittest/test_autograd
2022-11-23T02:24:39.6467141Z 
2022-11-23T02:24:39.6467338Z Running tests...
2022-11-23T02:24:39.6467829Z ----------------------------------------------------------------------
2022-11-23T02:24:39.6468388Z   test_backward_out_of_context (__main__.TestAllowMutationOnSaved) ... ok (0.025s)
2022-11-23T02:24:39.6468881Z   test_basic (__main__.TestAllowMutationOnSaved) ... ok (0.017s)
2022-11-23T02:24:39.6469347Z   test_disallow_nesting (__main__.TestAllowMutationOnSaved) ... ok (0.001s)
2022-11-23T02:24:39.6469835Z   test_double_backward (__main__.TestAllowMutationOnSaved) ... ok (0.007s)
2022-11-23T02:24:39.6470313Z   test_save_base_and_modify_view (__main__.TestAllowMutationOnSaved) ... ok (0.004s)
2022-11-23T02:24:39.6470809Z   test_save_view_modify_base (__main__.TestAllowMutationOnSaved) ... ok (0.005s)
2022-11-23T02:24:39.6471293Z   test_saved_but_not_anymore (__main__.TestAllowMutationOnSaved) ... ok (0.005s)
2022-11-23T02:24:39.6471830Z   test_saved_same_tensor_different_versions (__main__.TestAllowMutationOnSaved) ... ok (0.003s)
2022-11-23T02:24:39.6472371Z   test_saved_same_tensor_many_times (__main__.TestAllowMutationOnSaved) ... ok (0.002s)
2022-11-23T02:24:39.6472814Z   test_views (__main__.TestAllowMutationOnSaved) ... ok (0.015s)
2022-11-23T02:24:39.6473274Z   test_with_math_views (__main__.TestAllowMutationOnSaved) ... ok (0.008s)
2022-11-23T02:24:39.6473710Z   test_with_out_variant (__main__.TestAllowMutationOnSaved) ... ok (0.003s)
2022-11-23T02:24:39.6474202Z   test_access_saved_tensor_twice_without_recomputation_works (__main__.TestAutograd) ... ok (0.009s)
2022-11-23T02:24:39.6476313Z   test_accumulate_grad (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/__init__.py:199: UserWarning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/autograd/engine.cpp:1127.)
2022-11-23T02:24:39.6477933Z   allow_unreachable=True, accumulate_grad=True)  # Calls into the C++ engine to run the backward pass
2022-11-23T02:24:39.6478599Z ok (0.005s)
2022-11-23T02:24:39.6479022Z   test_accumulate_grad_tensor_reference (__main__.TestAutograd) ... ok (0.009s)
2022-11-23T02:24:39.6479554Z   test_accumulate_grad_with_zero_numel_grad (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6480361Z   test_anomaly_assign_parent_cleanup (__main__.TestAutograd) ... test_autograd.py:3823: UserWarning: Anomaly Detection has been enabled. This mode will increase the runtime and should only be enabled for debugging.
2022-11-23T02:24:39.6480951Z   with detect_anomaly():
2022-11-23T02:24:39.6481230Z ok (0.003s)
2022-11-23T02:24:39.6481578Z   test_anomaly_detect_nan (__main__.TestAutograd) ... ok (0.006s)
2022-11-23T02:24:39.6482032Z   test_anomaly_grad_warnings (__main__.TestAutograd) ... ok (0.025s)
2022-11-23T02:24:39.6482474Z   test_anomaly_mode_no_check_nan (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T02:24:39.6482875Z   test_attribute_deletion (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6483345Z   test_autograd_inplace_view_of_view (__main__.TestAutograd) ... ok (0.015s)
2022-11-23T02:24:39.6483862Z   test_autograd_inplace_views_creation_meta (__main__.TestAutograd) ... ok (0.498s)
2022-11-23T02:24:39.6484364Z   test_autograd_inplace_views_cross_dtype (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T02:24:39.6484819Z   test_autograd_multiple_views_python (__main__.TestAutograd) ... ok (0.010s)
2022-11-23T02:24:39.6485314Z   test_autograd_python_custom_function_inplace (__main__.TestAutograd) ... ok (0.018s)
2022-11-23T02:24:39.6485779Z   test_autograd_simple_views_python (__main__.TestAutograd) ... ok (0.308s)
2022-11-23T02:24:39.6486232Z   test_autograd_views_codegen (__main__.TestAutograd) ... ok (0.036s)
2022-11-23T02:24:39.6486649Z   test_backward (__main__.TestAutograd) ... ok (0.008s)
2022-11-23T02:24:39.6487038Z   test_backward_badcalls (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T02:24:39.6487402Z   test_backward_copy (__main__.TestAutograd) ... ok (0.006s)
2022-11-23T02:24:39.6487820Z   test_backward_create_graph_warns (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6488237Z   test_backward_no_grad (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T02:24:39.6488692Z   test_backward_twice_retained_graph_with_saved_values (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6489192Z   test_backward_twice_retained_graph_without_saved_values (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6489661Z   test_backward_twice_with_saved_values (__main__.TestAutograd) ... ok (0.011s)
2022-11-23T02:24:39.6490063Z   test_backward_twice_without_saved_values (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6490443Z   test_backward_with_inputs (__main__.TestAutograd) ... ok (0.011s)
2022-11-23T02:24:39.6490882Z   test_backward_with_nonleaf_inputs (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T02:24:39.6492123Z   test_calculate_shape_util (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/nested/__init__.py:58: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.)
2022-11-23T02:24:39.6492943Z   return torch._nested_tensor_from_tensor_list(tensor_list, dtype, None, device, None)
2022-11-23T02:24:39.6493306Z ok (0.003s)
2022-11-23T02:24:39.6493632Z   test_callback_adds_callback (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6494061Z   test_cant_create_saved_tensors (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6494448Z   test_checkpoint_valid_reset_on_error (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6494933Z   test_checkpointing (__main__.TestAutograd) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s)
2022-11-23T02:24:39.6495447Z   test_checkpointing_non_reentrant_autocast_cpu (__main__.TestAutograd)
2022-11-23T02:24:39.6496034Z Test that autocast args such as the dtype are preserved during non-reentrant ... ok (0.026s)
2022-11-23T02:24:39.6496464Z   test_checkpointing_non_reentrant_autocast_gpu (__main__.TestAutograd)
2022-11-23T02:24:39.6497116Z Test that autocast args/kwargs such as the dtype are preserved during ... skip: Test requires CUDA bf16 support (0.001s)
2022-11-23T02:24:39.6497658Z   test_checkpointing_without_reentrant_arbitrary_input_output (__main__.TestAutograd)
2022-11-23T02:24:39.6498196Z Ensures checkpointing without reentrant autograd works with functions ... ok (0.006s)
2022-11-23T02:24:39.6498744Z   test_checkpointing_without_reentrant_correct_grad (__main__.TestAutograd)
2022-11-23T02:24:39.6499230Z Verifies that correct gradients are calculated for checkpoint ... ok (0.005s)
2022-11-23T02:24:39.6499688Z   test_checkpointing_without_reentrant_custom_function_works (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T02:24:39.6500159Z   test_checkpointing_without_reentrant_dataparallel (__main__.TestAutograd)
2022-11-23T02:24:39.6500637Z Verifies gradient correctness when checkpoint without reentrant autograd ... ok (0.006s)
2022-11-23T02:24:39.6501169Z   test_checkpointing_without_reentrant_detached_tensor_use_reentrant_False (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T02:24:39.6501685Z   test_checkpointing_without_reentrant_detached_tensor_use_reentrant_True (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T02:24:39.6502235Z   test_checkpointing_without_reentrant_input_requires_grad_False (__main__.TestAutograd)
2022-11-23T02:24:39.6502800Z Basic test for checkpoint without reentrant autograd. ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T02:24:39.6503345Z   test_checkpointing_without_reentrant_input_requires_grad_True (__main__.TestAutograd)
2022-11-23T02:24:39.6503935Z Basic test for checkpoint without reentrant autograd. ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s)
2022-11-23T02:24:39.6504476Z   test_checkpointing_without_reentrant_memory_savings (__main__.TestAutograd) ... skip: Test requires CUDA (0.003s)
2022-11-23T02:24:39.6504953Z   test_checkpointing_without_reentrant_parameter_used_in_an_out (__main__.TestAutograd)
2022-11-23T02:24:39.6505385Z Ensures that gradient hooks are only called once per tensor. ... ok (0.002s)
2022-11-23T02:24:39.6505810Z   test_create_graph_and_full_backward_hook_cycle (__main__.TestAutograd) ... ok (0.529s)
2022-11-23T02:24:39.6506223Z   test_current_graph_task_execution_order (__main__.TestAutograd) ... ok (0.024s)
2022-11-23T02:24:39.6506608Z   test_current_graph_task_id (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6507029Z   test_custom_autograd_no_early_free (__main__.TestAutograd) ... ok (0.035s)
2022-11-23T02:24:39.6507480Z   test_custom_autograd_repeated_grad_grad (__main__.TestAutograd) ... ok (0.016s)
2022-11-23T02:24:39.6507921Z   test_custom_function_cycle (__main__.TestAutograd) ... ok (0.180s)
2022-11-23T02:24:39.6508321Z   test_custom_function_error (__main__.TestAutograd) ... ok (0.214s)
2022-11-23T02:24:39.6508746Z   test_custom_function_exception (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6509235Z   test_custom_function_forward_mode_forward_is_no_op (__main__.TestAutograd) ... ok (0.056s)
2022-11-23T02:24:39.6509777Z   test_custom_function_forward_mode_inplace_checks (__main__.TestAutograd) ... ok (0.020s)
2022-11-23T02:24:39.6510303Z   test_custom_function_forward_mode_non_tensor_before_tensor_args (__main__.TestAutograd) ... ok (0.009s)
2022-11-23T02:24:39.6510783Z   test_custom_function_forward_mode_view_checks (__main__.TestAutograd) ... ok (0.036s)
2022-11-23T02:24:39.6511224Z   test_custom_function_forward_mode_wrong_formula (__main__.TestAutograd) ... ok (0.030s)
2022-11-23T02:24:39.6511634Z   test_custom_function_local_inplace (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6512020Z   test_custom_function_no_tensors (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6512408Z   test_custom_function_non_tensor_inputs_outputs (__main__.TestAutograd) ... ok (0.037s)
2022-11-23T02:24:39.6512833Z   test_custom_function_return_view_in_nograd (__main__.TestAutograd) ... ok (0.008s)
2022-11-23T02:24:39.6513762Z   test_custom_function_save_for_forward (__main__.TestAutograd) ... ok (0.027s)
2022-11-23T02:24:39.6514157Z   test_custom_function_saved_tensors (__main__.TestAutograd) ... ok (0.011s)
2022-11-23T02:24:39.6514571Z   test_deep_reentrant (__main__.TestAutograd) ... ok (1.197s)
2022-11-23T02:24:39.6514977Z   test_default_saved_variable_hooks_double_backward (__main__.TestAutograd) ... ok (0.011s)
2022-11-23T02:24:39.6515363Z   test_dep_nograd (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6515703Z   test_dependent_backward (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6516053Z   test_detach (__main__.TestAutograd) ... ok (0.011s)
2022-11-23T02:24:39.6516376Z   test_detach_base (__main__.TestAutograd)
2022-11-23T02:24:39.6516687Z detaching base does not detach view ... ok (0.001s)
2022-11-23T02:24:39.6517074Z   test_detach_then_inplace_raises_in_autograd (__main__.TestAutograd) ... ok (0.011s)
2022-11-23T02:24:39.6517906Z   test_diagonal_expanded_v (__main__.TestAutograd) ... test_autograd.py:2277: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
2022-11-23T02:24:39.6518592Z   v_expanded = torch.tensor(value).expand(10)
2022-11-23T02:24:39.6518876Z ok (0.003s)
2022-11-23T02:24:39.6519148Z   test_dir (__main__.TestAutograd) ... ok (0.006s)
2022-11-23T02:24:39.6519497Z   test_disabling_saved_tensor_hooks (__main__.TestAutograd) ... ok (0.007s)
2022-11-23T02:24:39.6519884Z   test_disabling_saved_tensor_hooks_nested (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T02:24:39.6520274Z   test_dont_materialize_grads (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6520651Z   test_duplicate_backward_root (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6521046Z   test_first_grad_fn_access_in_no_grad_mode (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T02:24:39.6521413Z   test_free_deep_graph (__main__.TestAutograd) ... ok (11.289s)
2022-11-23T02:24:39.6521793Z   test_free_deep_graph_complicated (__main__.TestAutograd) ... ok (7.364s)
2022-11-23T02:24:39.6522181Z   test_free_deep_graph_pyfunction (__main__.TestAutograd) ... ok (6.188s)
2022-11-23T02:24:39.6522557Z   test_full_backward_hook_double_backward (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T02:24:39.6522921Z   test_function (__main__.TestAutograd) ... ok (0.008s)
2022-11-23T02:24:39.6523271Z   test_function_returns_input (__main__.TestAutograd) ... ok (0.006s)
2022-11-23T02:24:39.6523665Z   test_function_returns_undefined_tensor (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6524005Z   test_gc_in_destructor (__main__.TestAutograd)
2022-11-23T02:24:39.6524388Z Previously, if a Function destructor triggered a garbage collection, ... ok (0.870s)
2022-11-23T02:24:39.6524757Z   test_grad (__main__.TestAutograd) ... ok (0.009s)
2022-11-23T02:24:39.6525078Z   test_grad_badcalls (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6525432Z   test_grad_batched_grad (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T02:24:39.6525790Z   test_grad_empty_inputs (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T02:24:39.6526147Z   test_grad_fn_attr_bindings (__main__.TestAutograd) ... ok (0.046s)
2022-11-23T02:24:39.6526509Z   test_grad_fn_badcalls (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6526868Z   test_grad_fn_prehooks (__main__.TestAutograd) ... ok (0.010s)
2022-11-23T02:24:39.6527252Z   test_grad_fn_prehooks_multiple_outputs (__main__.TestAutograd) ... ok (0.008s)
2022-11-23T02:24:39.6527653Z   test_grad_fn_prehooks_remove_hooks (__main__.TestAutograd) ... ok (0.007s)
2022-11-23T02:24:39.6528043Z   test_grad_mode_restored_reentrant (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6529832Z   test_grad_nonleaf (__main__.TestAutograd) ... test_autograd.py:601: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.)
2022-11-23T02:24:39.6530863Z   self.assertIsNone(x.grad)
2022-11-23T02:24:39.6531099Z ok (0.012s)
2022-11-23T02:24:39.6531398Z   test_grad_nonleaf_many_outputs (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6533012Z   test_grad_nonleaf_register_hook (__main__.TestAutograd) ... test_autograd.py:653: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.)
2022-11-23T02:24:39.6533991Z   self.assertIsNone(x_list[0].grad)
2022-11-23T02:24:39.6535420Z test_autograd.py:660: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.)
2022-11-23T02:24:39.6536325Z   self.assertIsNone(x_list[i].grad)
2022-11-23T02:24:39.6536567Z ok (0.007s)
2022-11-23T02:24:39.6536871Z   test_grad_unreachable (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T02:24:39.6537252Z   test_grad_unreachable_discovery (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6537646Z   test_gradcheck_backward_mul_by_grad_output (__main__.TestAutograd) ... ok (0.094s)
2022-11-23T02:24:39.6538066Z   test_gradcheck_check_batched_grad (__main__.TestAutograd) ... ok (0.139s)
2022-11-23T02:24:39.6538465Z   test_gradcheck_check_forward_or_backward_only (__main__.TestAutograd)
2022-11-23T02:24:39.6538962Z Depending on settings for check_forward_ad and check_backward_ad, the ... ok (0.082s)
2022-11-23T02:24:39.6540075Z   test_gradcheck_check_no_differentiable_outputs (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:653: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 
2022-11-23T02:24:39.6540806Z   f'Input #{idx} requires gradient and '
2022-11-23T02:24:39.6541069Z ok (0.009s)
2022-11-23T02:24:39.6541400Z   test_gradcheck_complex_non_complex_outputs (__main__.TestAutograd) ... ok (0.039s)
2022-11-23T02:24:39.6542438Z   test_gradcheck_custom_error (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:653: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 
2022-11-23T02:24:39.6543150Z   f'Input #{idx} requires gradient and '
2022-11-23T02:24:39.6543407Z ok (0.089s)
2022-11-23T02:24:39.6543723Z   test_gradcheck_dense_and_sparse_inputs (__main__.TestAutograd) ... ok (0.027s)
2022-11-23T02:24:39.6544105Z   test_gradcheck_forward_ad (__main__.TestAutograd) ... ok (0.551s)
2022-11-23T02:24:39.6544496Z   test_gradcheck_forward_ad_batched_grad (__main__.TestAutograd) ... ok (0.028s)
2022-11-23T02:24:39.6544929Z   test_gradcheck_forward_ad_respects_requires_grad (__main__.TestAutograd) ... ok (0.029s)
2022-11-23T02:24:39.6545468Z   test_gradcheck_forward_ad_runs_with_no_requires_grad (__main__.TestAutograd) ... ok (0.027s)
2022-11-23T02:24:39.6546906Z   test_gradcheck_get_analytical_jacobian (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:580: UserWarning: get_analytical_jacobian was part of PyTorch's private API and not meant to be exposed. We are deprecating it and it will be removed in a future version of PyTorch. If you have a specific use for this or feature request for this to be a stable API, please file us an issue at https://github.com/pytorch/pytorch/issues/new
2022-11-23T02:24:39.6547911Z   warnings.warn("get_analytical_jacobian was part of PyTorch's private API and not "
2022-11-23T02:24:39.6548235Z ok (0.021s)
2022-11-23T02:24:39.6549479Z   test_gradcheck_get_numerical_jacobian (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:173: UserWarning: get_numerical_jacobian was part of PyTorch's private API and not meant to be exposed. We are deprecating it and it will be removed in a future version of PyTorch. If you have a specific use for this or feature request for this to be a stable API, please file us an issue at https://github.com/pytorch/pytorch/issues/new
2022-11-23T02:24:39.6550502Z   warnings.warn("get_numerical_jacobian was part of PyTorch's private API and not "
2022-11-23T02:24:39.6550843Z ok (0.025s)
2022-11-23T02:24:39.6551816Z   test_gradcheck_jacobian_mismatch (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:653: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 
2022-11-23T02:24:39.6552527Z   f'Input #{idx} requires gradient and '
2022-11-23T02:24:39.6552769Z ok (0.201s)
2022-11-23T02:24:39.6553237Z   test_gradcheck_multiple_mkldnn_inputs (__main__.TestAutograd) ... skip: MKL-DNN build is disabled (0.001s)
2022-11-23T02:24:39.6553679Z   test_gradcheck_nondeterministic (__main__.TestAutograd) ... ok (0.410s)
2022-11-23T02:24:39.6554105Z   test_gradcheck_output_shape_or_dtype_depend_on_values (__main__.TestAutograd) ... ok (0.006s)
2022-11-23T02:24:39.6554507Z   test_gradcheck_single_input (__main__.TestAutograd) ... ok (0.059s)
2022-11-23T02:24:39.6555319Z   test_gradcheck_sparse_csr_input (__main__.TestAutograd) ... test_autograd.py:4081: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.)
2022-11-23T02:24:39.6556152Z   gradcheck(fn, torch.rand(2, 2, dtype=torch.double).to_sparse_csr().requires_grad_(True), check_sparse_nnz=True,
2022-11-23T02:24:39.6556545Z expected failure (0.016s)
2022-11-23T02:24:39.6556855Z   test_gradcheck_sparse_input (__main__.TestAutograd) ... ok (0.019s)
2022-11-23T02:24:39.6557543Z   test_gradcheck_test_outputs (__main__.TestAutograd) ... skip: MKL-DNN build is disabled (0.001s)
2022-11-23T02:24:39.6557964Z   test_gradcheck_undefined_grad (__main__.TestAutograd) ... ok (0.024s)
2022-11-23T02:24:39.6558507Z   test_gradcheck_validates_input_mkldnn (__main__.TestAutograd) ... skip: MKL-DNN build is disabled (0.001s)
2022-11-23T02:24:39.6558944Z   test_gradcheck_validates_inputs (__main__.TestAutograd) ... ok (0.017s)
2022-11-23T02:24:39.6559318Z   test_graph_save_on_cpu (__main__.TestAutograd) ... ok (0.028s)
2022-11-23T02:24:39.6559717Z   test_graph_save_on_cpu_cuda (__main__.TestAutograd) ... skip: test requires CUDA (0.001s)
2022-11-23T02:24:39.6560098Z   test_hessian_vector (__main__.TestAutograd) ... ok (0.007s)
2022-11-23T02:24:39.6560433Z   test_hook_none (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6560770Z   test_hook_with_no_name (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6561207Z   test_hooks (__main__.TestAutograd) ... ok (0.008s)
2022-11-23T02:24:39.6561530Z   test_hooks_cpp (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T02:24:39.6561902Z   test_index_backward_does_not_save_tensor (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6562332Z   test_indexing (__main__.TestAutograd) ... ok (0.088s)
2022-11-23T02:24:39.6562674Z   test_indexing_duplicates (__main__.TestAutograd) ... ok (0.009s)
2022-11-23T02:24:39.6563019Z   test_inplace (__main__.TestAutograd) ... ok (0.048s)
2022-11-23T02:24:39.6563372Z   test_inplace_not_requires_grad (__main__.TestAutograd) ... ok (0.024s)
2022-11-23T02:24:39.6563738Z   test_inplace_on_view_backward (__main__.TestAutograd) ... ok (0.057s)
2022-11-23T02:24:39.6564120Z   test_inplace_on_view_leaf_errors (__main__.TestAutograd) ... ok (0.008s)
2022-11-23T02:24:39.6564512Z   test_inplace_on_view_saved_output (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6564881Z   test_inplace_on_view_weak_grad_fn (__main__.TestAutograd) ... ok (0.100s)
2022-11-23T02:24:39.6565256Z   test_input_buffer_accum (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T02:24:39.6565612Z   test_integer_outputs (__main__.TestAutograd) ... ok (0.011s)
2022-11-23T02:24:39.6565963Z   test_invalid_gradients (__main__.TestAutograd) ... ok (0.010s)
2022-11-23T02:24:39.6566303Z   test_isolated_node (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6566655Z   test_leaf_assignment (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T02:24:39.6567057Z   test_legacy_function_deprecation_exception (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T02:24:39.6568198Z   test_lobpcg (__main__.TestAutograd) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80338 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.003s)
2022-11-23T02:24:39.6568937Z   test_mark_non_differentiable (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6569331Z   test_mark_non_differentiable_mixed (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6569735Z   test_mark_non_differentiable_none (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6570100Z   test_materialize_grads (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6570456Z   test_multi_backward (__main__.TestAutograd) ... ok (0.006s)
2022-11-23T02:24:39.6570817Z   test_multi_backward_no_grad (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6571176Z   test_multi_grad_hooks (__main__.TestAutograd) ... ok (0.006s)
2022-11-23T02:24:39.6572364Z   test_named_tensor_for_complex_views (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:1093: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1787.)
2022-11-23T02:24:39.6573139Z   return super(Tensor, self).refine_names(names)
2022-11-23T02:24:39.6573409Z ok (0.004s)
2022-11-23T02:24:39.6573742Z   test_naughty_anomaly_access (__main__.TestAutograd) ... expected failure (0.004s)
2022-11-23T02:24:39.6574171Z   test_naughty_autograd_function_attribute_access (__main__.TestAutograd) ... ok (0.017s)
2022-11-23T02:24:39.6574604Z   test_naughty_autograd_function_stashing_ctx (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6574997Z   test_nested_anomaly_detect_nan (__main__.TestAutograd) ... ok (0.032s)
2022-11-23T02:24:39.6575376Z   test_nested_anomaly_printstack_cleanup (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6575751Z   test_next_functions (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6576087Z   test_no_grad (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6576418Z   test_no_grad_assignment (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T02:24:39.6576767Z   test_no_grad_copy (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6577898Z   test_no_grad_copy_sparse (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2328: UserWarning: Argument order of nn.functional.embedding_bag was changed. Usage `embedding_bag(weight, input, ...)` is deprecated, and should now be `embedding_bag(input, weight, ...)`.
2022-11-23T02:24:39.6578653Z   "Argument order of nn.functional.embedding_bag was changed. "
2022-11-23T02:24:39.6578944Z ok (0.026s)
2022-11-23T02:24:39.6579230Z   test_no_grad_input (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6579598Z   test_no_grad_modifies_version (__main__.TestAutograd) ... ok (0.011s)
2022-11-23T02:24:39.6579965Z   test_no_grad_python_function (__main__.TestAutograd)
2022-11-23T02:24:39.6580298Z Python Functions should respect grad mode. ... ok (0.002s)
2022-11-23T02:24:39.6580677Z   test_no_requires_grad_inplace (__main__.TestAutograd) ... ok (0.015s)
2022-11-23T02:24:39.6581048Z   test_no_unnecessary_save (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6581411Z   test_no_unnecessary_unwrapping (__main__.TestAutograd) ... ok (0.007s)
2022-11-23T02:24:39.6581796Z   test_not_implemented_fwad (__main__.TestAutograd) ... ok (0.008s)
2022-11-23T02:24:39.6582170Z   test_not_implemented_grad (__main__.TestAutograd) ... ok (0.012s)
2022-11-23T02:24:39.6582528Z   test_numpy_requires_grad (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T02:24:39.6582896Z   test_once_differentiable (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T02:24:39.6583294Z   test_out_variant_raises_when_inputs_require_grad (__main__.TestAutograd) ... ok (0.014s)
2022-11-23T02:24:39.6583733Z   test_pack_hook_with_inplace_modification_should_fail (__main__.TestAutograd) ... ok (0.012s)
2022-11-23T02:24:39.6584105Z   test_pickle (__main__.TestAutograd) ... ok (0.009s)
2022-11-23T02:24:39.6584462Z   test_pow_zero_tensor_gradient (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T02:24:39.6584825Z   test_power_function (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T02:24:39.6585465Z   test_profiler (__main__.TestAutograd) ... STAGE:2022-11-23 02:24:03 11700:11700 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:24:39.6586114Z STAGE:2022-11-23 02:24:03 11700:11700 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:24:39.6586747Z STAGE:2022-11-23 02:24:03 11700:11700 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:24:39.6587096Z ok (0.005s)
2022-11-23T02:24:39.6587397Z   test_profiler_aggregation_fake (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6588096Z   test_profiler_aggregation_lstm (__main__.TestAutograd) ... STAGE:2022-11-23 02:24:03 11700:11700 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:24:39.6588750Z STAGE:2022-11-23 02:24:04 11700:11700 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:24:39.6589358Z STAGE:2022-11-23 02:24:04 11700:11700 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:24:39.6589621Z 
2022-11-23T02:24:39.6589782Z ===================================================================================================================================================================
2022-11-23T02:24:39.6590044Z TEST
2022-11-23T02:24:39.6590692Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T02:24:39.6591291Z                          Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg    # of Calls                                      Input Shapes  
2022-11-23T02:24:39.6592038Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T02:24:39.6592609Z                    aten::lstm         0.66%       1.030ms         5.96%       9.250ms       9.250ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T02:24:39.6593077Z                    aten::lstm         0.62%     967.000us         4.88%       7.568ms       7.568ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T02:24:39.6593498Z                    aten::lstm         0.62%     957.000us         4.96%       7.697ms       7.697ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T02:24:39.6593870Z                    aten::lstm         0.60%     935.000us         4.88%       7.571ms       7.571ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T02:24:39.6594223Z                    aten::lstm         0.59%     922.000us         4.91%       7.613ms       7.613ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T02:24:39.6594605Z                    aten::lstm         0.59%     919.000us         4.85%       7.527ms       7.527ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T02:24:39.6594985Z                    aten::lstm         0.59%     917.000us         4.99%       7.741ms       7.741ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T02:24:39.6595360Z                    aten::lstm         0.58%     902.000us         5.07%       7.857ms       7.857ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T02:24:39.6595732Z                    aten::lstm         0.58%     895.000us         5.13%       7.955ms       7.955ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T02:24:39.6596088Z                    aten::lstm         0.58%     893.000us         4.81%       7.458ms       7.458ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T02:24:39.6596787Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T02:24:39.6597378Z Self CPU time total: 155.112ms
2022-11-23T02:24:39.6597547Z 
2022-11-23T02:24:39.6598038Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T02:24:39.6598642Z                          Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg    # of Calls                                      Input Shapes  
2022-11-23T02:24:39.6599379Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T02:24:39.6599924Z                     aten::mul        11.91%      18.471ms        11.91%      18.471ms      30.785us           600                                [[3, 20], [3, 20]]  
2022-11-23T02:24:39.6600299Z                    aten::lstm        11.59%      17.982ms        98.84%     153.317ms       7.666ms            20      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T02:24:39.6600680Z                aten::sigmoid_        10.94%      16.976ms        10.94%      16.976ms      28.293us           600                                         [[3, 20]]  
2022-11-23T02:24:39.6601065Z                   aten::addmm         8.41%      13.045ms        12.90%      20.004ms     100.020us           200                 [[80], [3, 20], [20, 80], [], []]  
2022-11-23T02:24:39.6601442Z            aten::unsafe_split         5.35%       8.291ms        16.80%      26.056ms     130.280us           200                                 [[3, 80], [], []]  
2022-11-23T02:24:39.6601832Z                   aten::slice         5.18%       8.033ms         7.65%      11.869ms      14.836us           800                         [[3, 80], [], [], [], []]  
2022-11-23T02:24:39.6602212Z                    aten::add_         4.72%       7.320ms         4.72%       7.320ms      36.600us           200                            [[3, 80], [3, 80], []]  
2022-11-23T02:24:39.6602587Z                  aten::narrow         3.80%       5.896ms        11.44%      17.744ms      22.180us           800                             [[3, 80], [], [], []]  
2022-11-23T02:24:39.6603131Z                    aten::tanh         3.72%       5.771ms         3.72%       5.771ms      28.855us           200                                         [[3, 20]]  
2022-11-23T02:24:39.6603498Z                   aten::tanh_         3.62%       5.609ms         3.62%       5.609ms      28.045us           200                                         [[3, 20]]  
2022-11-23T02:24:39.6604183Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T02:24:39.6604649Z Self CPU time total: 155.112ms
2022-11-23T02:24:39.6604811Z 
2022-11-23T02:24:39.6604971Z ===================================================================================================================================================================
2022-11-23T02:24:39.6605219Z TEST
2022-11-23T02:24:39.6605497Z ===================================================================================================================================================================
2022-11-23T02:24:39.6605903Z This report only display top-level ops statistics
2022-11-23T02:24:39.6606603Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T02:24:39.6607191Z                          Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg    # of Calls                                      Input Shapes  
2022-11-23T02:24:39.6607937Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T02:24:39.6608469Z                    aten::lstm         0.66%       1.030ms         5.96%       9.250ms       9.250ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T02:24:39.6608846Z                    aten::lstm         0.62%     967.000us         4.88%       7.568ms       7.568ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T02:24:39.6609213Z                    aten::lstm         0.62%     957.000us         4.96%       7.697ms       7.697ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T02:24:39.6609564Z                    aten::lstm         0.60%     935.000us         4.88%       7.571ms       7.571ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T02:24:39.6609931Z                    aten::lstm         0.59%     922.000us         4.91%       7.613ms       7.613ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T02:24:39.6610312Z                    aten::lstm         0.59%     919.000us         4.85%       7.527ms       7.527ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T02:24:39.6610684Z                    aten::lstm         0.59%     917.000us         4.99%       7.741ms       7.741ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T02:24:39.6611096Z                    aten::lstm         0.58%     902.000us         5.07%       7.857ms       7.857ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T02:24:39.6611463Z                    aten::lstm         0.58%     895.000us         5.13%       7.955ms       7.955ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T02:24:39.6611816Z                    aten::lstm         0.58%     893.000us         4.81%       7.458ms       7.458ms             1      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T02:24:39.6612511Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T02:24:39.6612974Z Self CPU time total: 155.112ms
2022-11-23T02:24:39.6613218Z 
2022-11-23T02:24:39.6613383Z ===================================================================================================================================================================
2022-11-23T02:24:39.6613769Z This report only display top-level ops statistics
2022-11-23T02:24:39.6614502Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T02:24:39.6615085Z                          Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg    # of Calls                                      Input Shapes  
2022-11-23T02:24:39.6615826Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T02:24:39.6616352Z                    aten::lstm        11.59%      17.982ms        98.84%     153.317ms       7.666ms            20      [[5, 3, 10], [], [], [], [], [], [], [], []]  
2022-11-23T02:24:39.6616748Z                   aten::randn         0.59%     921.000us         1.15%       1.790ms      29.833us            60                              [[], [], [], [], []]  
2022-11-23T02:24:39.6617448Z -----------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------------------------------------------  
2022-11-23T02:24:39.6617922Z Self CPU time total: 155.112ms
2022-11-23T02:24:39.6618085Z 
2022-11-23T02:24:39.6618223Z Total time based on python measurements:  160.864ms
2022-11-23T02:24:39.6618641Z CPU time measurement python side overhead: 3.71%
2022-11-23T02:24:39.6618927Z ok (5.259s)
2022-11-23T02:24:39.6619222Z   test_profiler_aggregation_table (__main__.TestAutograd)
2022-11-23T02:24:39.6619901Z Test if the profiling result is aggregated for `str(prof)` ... STAGE:2022-11-23 02:24:09 11700:11700 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:24:39.6620594Z STAGE:2022-11-23 02:24:09 11700:11700 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:24:39.6621230Z STAGE:2022-11-23 02:24:09 11700:11700 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:24:39.6621572Z ok (0.006s)
2022-11-23T02:24:39.6621901Z   test_profiler_function_event_avg (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6622593Z   test_profiler_propagation (__main__.TestAutograd) ... STAGE:2022-11-23 02:24:09 11700:11700 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:24:39.6623257Z STAGE:2022-11-23 02:24:09 11700:11700 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:24:39.6623851Z STAGE:2022-11-23 02:24:09 11700:11700 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:24:39.6624193Z ok (0.398s)
2022-11-23T02:24:39.6625225Z   test_profiler_seq_nr (__main__.TestAutograd) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/66893 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s)
2022-11-23T02:24:39.6626243Z   test_profiler_shapes (__main__.TestAutograd) ... STAGE:2022-11-23 02:24:09 11700:11700 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:24:39.6626871Z STAGE:2022-11-23 02:24:09 11700:11700 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:24:39.6627477Z STAGE:2022-11-23 02:24:09 11700:11700 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:24:39.6627772Z 
2022-11-23T02:24:39.6628239Z ----------------------  ------------  ------------  ------------  ------------  ------------  ------------  ---------------------------------------  
2022-11-23T02:24:39.6628794Z                   Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg    # of Calls                             Input Shapes  
2022-11-23T02:24:39.6629560Z ----------------------  ------------  ------------  ------------  ------------  ------------  ------------  ---------------------------------------  
2022-11-23T02:24:39.6630120Z           aten::linear         3.47%      21.000us        60.89%     369.000us     369.000us             1              [[128, 20], [30, 20], [30]]  
2022-11-23T02:24:39.6630492Z                aten::t         8.25%      50.000us        14.19%      86.000us      86.000us             1                               [[30, 20]]  
2022-11-23T02:24:39.6630860Z        aten::transpose         3.80%      23.000us         5.94%      36.000us      36.000us             1                       [[30, 20], [], []]  
2022-11-23T02:24:39.6631240Z       aten::as_strided         2.15%      13.000us         2.15%      13.000us      13.000us             1                   [[30, 20], [], [], []]  
2022-11-23T02:24:39.6631599Z            aten::addmm        21.62%     131.000us        43.23%     262.000us     262.000us             1      [[30], [128, 20], [20, 30], [], []]  
2022-11-23T02:24:39.6631964Z           aten::expand         2.31%      14.000us         3.30%      20.000us      20.000us             1                           [[30], [], []]  
2022-11-23T02:24:39.6632341Z       aten::as_strided         0.99%       6.000us         0.99%       6.000us       6.000us             1                       [[30], [], [], []]  
2022-11-23T02:24:39.6632714Z            aten::copy_        18.15%     110.000us        18.15%     110.000us     110.000us             1               [[128, 30], [128, 30], []]  
2022-11-23T02:24:39.6633088Z     aten::resolve_conj         0.17%       1.000us         0.17%       1.000us       1.000us             1                              [[128, 30]]  
2022-11-23T02:24:39.6633469Z     aten::resolve_conj         0.00%       0.000us         0.00%       0.000us       0.000us             1                              [[128, 20]]  
2022-11-23T02:24:39.6633831Z           aten::linear         2.31%      14.000us        39.11%     237.000us     237.000us             1              [[128, 30], [40, 30], [40]]  
2022-11-23T02:24:39.6634204Z                aten::t         3.96%      24.000us         8.58%      52.000us      52.000us             1                               [[40, 30]]  
2022-11-23T02:24:39.6634569Z        aten::transpose         3.30%      20.000us         4.62%      28.000us      28.000us             1                       [[40, 30], [], []]  
2022-11-23T02:24:39.6634946Z       aten::as_strided         1.32%       8.000us         1.32%       8.000us       8.000us             1                   [[40, 30], [], [], []]  
2022-11-23T02:24:39.6635315Z            aten::addmm        12.21%      74.000us        28.22%     171.000us     171.000us             1      [[40], [128, 30], [30, 40], [], []]  
2022-11-23T02:24:39.6635669Z           aten::expand         1.82%      11.000us         2.64%      16.000us      16.000us             1                           [[40], [], []]  
2022-11-23T02:24:39.6636043Z       aten::as_strided         0.83%       5.000us         0.83%       5.000us       5.000us             1                       [[40], [], [], []]  
2022-11-23T02:24:39.6636408Z            aten::copy_        13.37%      81.000us        13.37%      81.000us      81.000us             1               [[128, 40], [128, 40], []]  
2022-11-23T02:24:39.6636791Z     aten::resolve_conj         0.00%       0.000us         0.00%       0.000us       0.000us             1                              [[128, 40]]  
2022-11-23T02:24:39.6637300Z     aten::resolve_conj         0.00%       0.000us         0.00%       0.000us       0.000us             1                              [[128, 30]]  
2022-11-23T02:24:39.6637963Z ----------------------  ------------  ------------  ------------  ------------  ------------  ------------  ---------------------------------------  
2022-11-23T02:24:39.6638412Z Self CPU time total: 606.000us
2022-11-23T02:24:39.6638690Z 
2022-11-23T02:24:39.6638780Z ok (0.011s)
2022-11-23T02:24:39.6639364Z   test_profiler_unboxed_only (__main__.TestAutograd) ... STAGE:2022-11-23 02:24:09 11700:11700 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:24:39.6640087Z STAGE:2022-11-23 02:24:09 11700:11700 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:24:39.6640687Z STAGE:2022-11-23 02:24:09 11700:11700 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:24:39.6641029Z ok (0.002s)
2022-11-23T02:24:39.6641323Z   test_pynode_destruction_deadlock (__main__.TestAutograd) ... ok (4.112s)
2022-11-23T02:24:39.6641979Z   test_record_function (__main__.TestAutograd) ... STAGE:2022-11-23 02:24:13 11700:11700 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:24:39.6642606Z STAGE:2022-11-23 02:24:13 11700:11700 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:24:39.6643196Z STAGE:2022-11-23 02:24:13 11700:11700 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:24:39.6643773Z STAGE:2022-11-23 02:24:13 11700:11700 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:24:39.6644364Z STAGE:2022-11-23 02:24:13 11700:11700 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:24:39.6644951Z STAGE:2022-11-23 02:24:13 11700:11700 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:24:39.6645275Z ok (0.013s)
2022-11-23T02:24:39.6645863Z   test_record_function_callbacks (__main__.TestAutograd) ... STAGE:2022-11-23 02:24:13 11700:11700 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:24:39.6646509Z STAGE:2022-11-23 02:24:13 11700:11700 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:24:39.6647117Z STAGE:2022-11-23 02:24:13 11700:11700 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:24:39.6647447Z ok (0.005s)
2022-11-23T02:24:39.6648033Z   test_record_function_legacy (__main__.TestAutograd) ... STAGE:2022-11-23 02:24:13 11700:11700 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:24:39.6648676Z STAGE:2022-11-23 02:24:13 11700:11700 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:24:39.6649288Z STAGE:2022-11-23 02:24:13 11700:11700 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:24:39.6649632Z ok (0.005s)
2022-11-23T02:24:39.6649949Z   test_record_function_multithreaded (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T02:24:39.6650335Z   test_reentrant_child_error (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6650681Z   test_reentrant_priority (__main__.TestAutograd) ... ok (0.007s)
2022-11-23T02:24:39.6651069Z   test_reentrant_with_callbacks_both_depths (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6651473Z   test_reentrant_with_callbacks_depth_0 (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6651864Z   test_reentrant_with_callbacks_depth_1 (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6652263Z   test_reentrant_with_leaf_variable_hook (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6652667Z   test_reentrant_with_non_leaf_variable_hook (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6653044Z   test_requires_grad (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6653374Z   test_requires_grad_ (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6653732Z   test_requires_grad_inplace (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6654089Z   test_retain_grad (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T02:24:39.6654420Z   test_retain_grad_cycle (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6654772Z   test_retain_grad_inplace (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T02:24:39.6655152Z   test_retain_grad_inplace_over_view (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T02:24:39.6655523Z   test_return_duplicate (__main__.TestAutograd) ... ok (0.019s)
2022-11-23T02:24:39.6655960Z   test_return_duplicate_inplace (__main__.TestAutograd) ... ok (0.019s)
2022-11-23T02:24:39.6656317Z   test_return_leaf (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T02:24:39.6656663Z   test_return_leaf_inplace (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6657062Z   test_save_none_for_backward (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6657443Z   test_save_on_cpu_and_checkpoint (__main__.TestAutograd) ... ok (0.007s)
2022-11-23T02:24:39.6657815Z   test_save_output_nr (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6658233Z   test_saved_variable_packing_unpacking_did_not_save_original_with_default_hooks (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6658824Z   test_saved_variable_packing_unpacking_did_not_save_original_with_hooks (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6659326Z   test_saved_variable_packing_unpacking_saved_original_with_default_hooks (__main__.TestAutograd) ... ok (0.015s)
2022-11-23T02:24:39.6659817Z   test_saved_variable_packing_unpacking_saved_original_with_hooks (__main__.TestAutograd) ... ok (0.032s)
2022-11-23T02:24:39.6660260Z   test_saved_variable_saved_original_inplace_detach (__main__.TestAutograd) ... ok (0.012s)
2022-11-23T02:24:39.6660669Z   test_saved_variable_version_counter (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6661059Z   test_saved_variables_deprecated (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6661439Z   test_saving_variable_to_disk (__main__.TestAutograd) ... ok (0.008s)
2022-11-23T02:24:39.6661787Z   test_select_expanded_v (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6662133Z   test_select_sum (__main__.TestAutograd) ... ok (0.015s)
2022-11-23T02:24:39.6662487Z   test_set_data_preserve_pyobj (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T02:24:39.6662850Z   test_set_data_self_requires_grad (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T02:24:39.6663224Z   test_set_data_tensorimpl_type (__main__.TestAutograd) ... ok (0.005s)
2022-11-23T02:24:39.6663596Z   test_set_grad_coroutines (__main__.TestAutograd) ... ok (0.069s)
2022-11-23T02:24:39.6663975Z   test_set_grad_coroutines_benign_exceptions (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6664406Z   test_set_grad_coroutines_critical_exceptions (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6664807Z   test_set_grad_coroutines_exit (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6665164Z   test_set_grad_enabled (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6665520Z   test_set_grad_generator_functions (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6665926Z   test_set_grad_generator_functions_recursive (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6666437Z   test_setitem (__main__.TestAutograd) ... ok (0.049s)
2022-11-23T02:24:39.6666798Z   test_setitem_mask (__main__.TestAutograd) ... ok (0.011s)
2022-11-23T02:24:39.6667291Z   test_setting_default_saved_variable_hooks_twice_should_not_fail (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T02:24:39.6667824Z   test_setting_default_saved_variable_hooks_twice_should_use_inner (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T02:24:39.6668427Z   test_shape (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T02:24:39.6668788Z   test_sharded_grad (__main__.TestAutograd) ... ok (0.016s)
2022-11-23T02:24:39.6669204Z   test_simple_reentrant (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6669629Z   test_slice_expanded_v (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6670110Z   test_sparse_gather_both_scalar (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6670504Z   test_sparse_gather_dim0 (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6670929Z   test_sparse_gather_dim1 (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6671368Z   test_sparse_gather_dim_neg (__main__.TestAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6671759Z   test_sparse_gather_ind_scalar (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6672323Z   test_sparse_gather_x_scalar (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6672756Z   test_sparse_mm_backward (__main__.TestAutograd) ... ok (0.029s)
2022-11-23T02:24:39.6673451Z   test_symeig_no_eigenvectors (__main__.TestAutograd) ... test_autograd.py:3933: UserWarning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release.
2022-11-23T02:24:39.6674140Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion.
2022-11-23T02:24:39.6674636Z L, _ = torch.symeig(A, upper=upper)
2022-11-23T02:24:39.6675010Z should be replaced with
2022-11-23T02:24:39.6675440Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L')
2022-11-23T02:24:39.6675803Z and
2022-11-23T02:24:39.6676121Z L, V = torch.symeig(A, eigenvectors=True)
2022-11-23T02:24:39.6676422Z should be replaced with
2022-11-23T02:24:39.6677297Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2909.)
2022-11-23T02:24:39.6677861Z   w, v = torch.symeig(A, eigenvectors=False)
2022-11-23T02:24:39.6696357Z ok (0.012s)
2022-11-23T02:24:39.6696697Z   test_tensor_grad_warnings (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6697058Z   test_thread_shutdown (__main__.TestAutograd) ... ok (4.070s)
2022-11-23T02:24:39.6697410Z   test_too_many_grads (__main__.TestAutograd) ... ok (0.007s)
2022-11-23T02:24:39.6697765Z   test_type_conversions (__main__.TestAutograd) ... ok (0.011s)
2022-11-23T02:24:39.6698128Z   test_unrelated_inputs (__main__.TestAutograd) ... ok (0.020s)
2022-11-23T02:24:39.6698461Z   test_unused_output (__main__.TestAutograd) ... ok (0.004s)
2022-11-23T02:24:39.6698963Z   test_var_mean_differentiable (__main__.TestAutograd) ... ok (0.012s)
2022-11-23T02:24:39.6699344Z   test_variable_traverse (__main__.TestAutograd) ... ok (0.160s)
2022-11-23T02:24:39.6699734Z   test_version_counter (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6700109Z   test_volatile_deprecated (__main__.TestAutograd) ... ok (0.001s)
2022-11-23T02:24:39.6700502Z   test_will_engine_execute_node (__main__.TestAutograd) ... ok (0.015s)
2022-11-23T02:24:39.6700894Z   test_wrapped_number_saved_variable_hooks (__main__.TestAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6701356Z   test_view_func_for_complex_views (autograd.test_complex.TestAutogradComplex) ... ok (0.010s)
2022-11-23T02:24:39.6701831Z   test_view_with_multi_output (autograd.test_complex.TestAutogradComplex) ... ok (0.015s)
2022-11-23T02:24:39.6702344Z   test_advanced_indexing_backwards_large_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:24:39.6702856Z   test_advanced_indexing_backwards_memory_format_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.002s)
2022-11-23T02:24:39.6703372Z   test_backward_device_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: fewer than 2 devices detected (0.001s)
2022-11-23T02:24:39.6703845Z   test_copy__cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.002s)
2022-11-23T02:24:39.6704337Z   test_copy_forward_ad_broadcasting_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s)
2022-11-23T02:24:39.6704819Z   test_copy_forward_ad_same_layout_copies_grad_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.002s)
2022-11-23T02:24:39.6705270Z   test_copy_r_to_c_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.002s)
2022-11-23T02:24:39.6705744Z   test_cross_device_reentrant_autograd_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T02:24:39.6706240Z   test_free_unneeded_tensor_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T02:24:39.6706702Z   test_grad_assignment_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.022s)
2022-11-23T02:24:39.6707248Z   test_gradcheck_input_output_different_device_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T02:24:39.6708042Z   test_inplace_multiple_output_view_of_view_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.008s)
2022-11-23T02:24:39.6708604Z   test_inplace_on_view_backprop_base_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.002s)
2022-11-23T02:24:39.6710047Z   test_inplace_on_view_backprop_view_cpu (__main__.TestAutogradDeviceTypeCPU) ... test_autograd.py:8638: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.)
2022-11-23T02:24:39.6710824Z   self.assertIsNone(a.grad)
2022-11-23T02:24:39.6711013Z ok (0.002s)
2022-11-23T02:24:39.6711284Z   test_inplace_on_view_backprop_view_of_view_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.002s)
2022-11-23T02:24:39.6711633Z   test_inplace_on_view_gradcheck_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.053s)
2022-11-23T02:24:39.6711998Z   test_inplace_on_view_makes_base_require_grad_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.017s)
2022-11-23T02:24:39.6712358Z   test_inplace_on_view_modify_base_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.016s)
2022-11-23T02:24:39.6712699Z   test_inplace_on_view_multi_output_safe_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.021s)
2022-11-23T02:24:39.6713056Z   test_inplace_on_view_multi_output_unsafe_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.004s)
2022-11-23T02:24:39.6713415Z   test_inplace_on_view_multiple_outputs_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.008s)
2022-11-23T02:24:39.6713763Z   test_inplace_on_view_non_contig_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.003s)
2022-11-23T02:24:39.6714113Z   test_inplace_on_view_of_multiple_output_view_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.008s)
2022-11-23T02:24:39.6714459Z   test_inplace_on_view_of_view_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.002s)
2022-11-23T02:24:39.6714798Z   test_inplace_on_view_python_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.046s)
2022-11-23T02:24:39.6715129Z   test_inplace_on_view_then_no_grad_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.002s)
2022-11-23T02:24:39.6715517Z   test_inputbuffer_add_multidevice_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: fewer than 2 devices detected (0.001s)
2022-11-23T02:24:39.6715910Z   test_min_max_median_backprops_to_all_values_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.008s)
2022-11-23T02:24:39.6716253Z   test_mv_grad_stride_0_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.017s)
2022-11-23T02:24:39.6716571Z   test_non_differentiable_ops_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.002s)
2022-11-23T02:24:39.6716906Z   test_parameter_resize_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.002s)
2022-11-23T02:24:39.6717410Z   test_pin_memory_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T02:24:39.6717753Z   test_profiler_emit_itt_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s)
2022-11-23T02:24:39.6718091Z   test_profiler_emit_nvtx_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T02:24:39.6718444Z   test_pyscalar_conversions_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.005s)
2022-11-23T02:24:39.6718815Z   test_reentrant_parent_error_on_cpu_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T02:24:39.6719177Z   test_requires_grad_factory_cpu_float32 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.002s)
2022-11-23T02:24:39.6719529Z   test_requires_grad_factory_cpu_float64 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.002s)
2022-11-23T02:24:39.6719912Z   test_rnn_backward_to_input_but_not_parameters_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.001s)
2022-11-23T02:24:39.6720928Z   test_scatter_index_reduce_amin_amax_backprops_to_all_values_cpu (__main__.TestAutogradDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:1427: UserWarning: scatter_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1681.)
2022-11-23T02:24:39.6721473Z   func_out = func(*tupled_inputs)
2022-11-23T02:24:39.6722081Z /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:1427: UserWarning: index_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1070.)
2022-11-23T02:24:39.6722521Z   func_out = func(*tupled_inputs)
2022-11-23T02:24:39.6722704Z ok (0.027s)
2022-11-23T02:24:39.6722974Z   test_scatter_index_reduce_prod_gradgrad_error_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.066s)
2022-11-23T02:24:39.6723359Z   test_set_requires_grad_only_for_floats_cpu_float32 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.002s)
2022-11-23T02:24:39.6723729Z   test_set_requires_grad_only_for_floats_cpu_float64 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.002s)
2022-11-23T02:24:39.6724101Z   test_set_requires_grad_only_for_floats_cpu_int16 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.006s)
2022-11-23T02:24:39.6724452Z   test_set_requires_grad_only_for_floats_cpu_int32 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.005s)
2022-11-23T02:24:39.6724819Z   test_set_requires_grad_only_for_floats_cpu_int64 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.005s)
2022-11-23T02:24:39.6725182Z   test_set_requires_grad_only_for_floats_cpu_int8 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.005s)
2022-11-23T02:24:39.6725565Z   test_simple_reentrant_cross_device_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:24:39.6725924Z   test_sparse_backward_cpu_complex128 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.010s)
2022-11-23T02:24:39.6726272Z   test_sparse_backward_cpu_float64 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.008s)
2022-11-23T02:24:39.6726629Z   test_sparse_ctor_getter_backward_cpu_complex128 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.134s)
2022-11-23T02:24:39.6726992Z   test_sparse_ctor_getter_backward_cpu_float64 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.074s)
2022-11-23T02:24:39.6727344Z   test_sparse_mask_autograd_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.004s)
2022-11-23T02:24:39.6727684Z   test_strided_leaf_grad_layout_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.011s)
2022-11-23T02:24:39.6728007Z   test_to_r_to_c_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.002s)
2022-11-23T02:24:39.6728352Z   test_unused_output_device_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: fewer than 2 devices detected (0.001s)
2022-11-23T02:24:39.6728715Z   test_warning_in_backward_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.004s)
2022-11-23T02:24:39.6729047Z   test_where_functional_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.034s)
2022-11-23T02:24:39.6729369Z   test_where_scalar_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.028s)
2022-11-23T02:24:39.6730146Z   test_advanced_packing_unpacking (__main__.TestAutogradForwardMode) ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.
2022-11-23T02:24:39.6730652Z   warnings.warn(message, UserWarning)
2022-11-23T02:24:39.6730848Z ok (0.011s)
2022-11-23T02:24:39.6731089Z   test_backward_graph_destruction (__main__.TestAutogradForwardMode) ... ok (0.001s)
2022-11-23T02:24:39.6731419Z   test_basic_packing_unpacking (__main__.TestAutogradForwardMode) ... ok (0.003s)
2022-11-23T02:24:39.6731754Z   test_codegen_ignores_undefined_outputs (__main__.TestAutogradForwardMode) ... ok (0.003s)
2022-11-23T02:24:39.6732128Z   test_create_new_zeros_with_same_meta (__main__.TestAutogradForwardMode) ... ok (0.013s)
2022-11-23T02:24:39.6732430Z   test_default_level (__main__.TestAutogradForwardMode) ... ok (0.003s)
2022-11-23T02:24:39.6732775Z   test_detach_view_tracking (__main__.TestAutogradForwardMode) ... ok (0.001s)
2022-11-23T02:24:39.6733095Z   test_forward_level_cleanup (__main__.TestAutogradForwardMode) ... ok (0.002s)
2022-11-23T02:24:39.6733393Z   test_grad_cleanup (__main__.TestAutogradForwardMode) ... ok (0.003s)
2022-11-23T02:24:39.6733715Z   test_make_dual_forbid_integral_dtype (__main__.TestAutogradForwardMode) ... ok (0.002s)
2022-11-23T02:24:39.6734075Z   test_make_dual_inference_tensor_in_inference_mode (__main__.TestAutogradForwardMode) ... ok (0.002s)
2022-11-23T02:24:39.6734424Z   test_make_dual_torch_dispatch (__main__.TestAutogradForwardMode) ... ok (0.004s)
2022-11-23T02:24:39.6734741Z   test_metadata_check_check_conj (__main__.TestAutogradForwardMode) ... ok (0.008s)
2022-11-23T02:24:39.6735085Z   test_metadata_check_checks_ignores_size_zero (__main__.TestAutogradForwardMode) ... ok (0.010s)
2022-11-23T02:24:39.6735438Z   test_metadata_check_checks_storage_numel (__main__.TestAutogradForwardMode) ... ok (0.002s)
2022-11-23T02:24:39.6735815Z   test_metadata_check_ignore_storage_offset_for_zero_numel_tensor (__main__.TestAutogradForwardMode) ... ok (0.002s)
2022-11-23T02:24:39.6736177Z   test_metadata_check_when_primal_has_conj_bit (__main__.TestAutogradForwardMode) ... ok (0.002s)
2022-11-23T02:24:39.6736535Z   test_metadata_check_when_primal_has_neg_bit (__main__.TestAutogradForwardMode) ... ok (0.002s)
2022-11-23T02:24:39.6736861Z   test_nested_level (__main__.TestAutogradForwardMode) ... ok (0.004s)
2022-11-23T02:24:39.6737153Z   test_non_differentiable (__main__.TestAutogradForwardMode) ... ok (0.001s)
2022-11-23T02:24:39.6737458Z   test_out_variant (__main__.TestAutogradForwardMode) ... ok (0.013s)
2022-11-23T02:24:39.6737744Z   test_print (__main__.TestAutogradForwardMode) ... ok (0.007s)
2022-11-23T02:24:39.6738071Z   test_set_fw_grad_having_own_fw_grad_at_same_level (__main__.TestAutogradForwardMode) ... ok (0.008s)
2022-11-23T02:24:39.6738383Z   test_size_check (__main__.TestAutogradForwardMode) ... ok (0.007s)
2022-11-23T02:24:39.6738786Z   test_view_inplace_always_creates_a_view (__main__.TestAutogradForwardMode) ... ok (0.010s)
2022-11-23T02:24:39.6739133Z   test_view_inplace_differentiable_views (__main__.TestAutogradForwardMode) ... ok (0.007s)
2022-11-23T02:24:39.6739471Z   test_view_inplace_non_differentiable_views (__main__.TestAutogradForwardMode) ... ok (0.008s)
2022-11-23T02:24:39.6739844Z   test_inplace_on_view_not_same_layout (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.002s)
2022-11-23T02:24:39.6740225Z   test_inplace_on_view_same_layout (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.002s)
2022-11-23T02:24:39.6740622Z   test_metadata_check_for_storage_numel_skipped (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.011s)
2022-11-23T02:24:39.6740996Z   test_out_of_place_basic (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.025s)
2022-11-23T02:24:39.6741367Z   test_out_of_place_not_same_layout (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.002s)
2022-11-23T02:24:39.6741770Z   test_construct_standard_basis_for_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.012s)
2022-11-23T02:24:39.6742215Z   test_construct_standard_basis_for_cuda_base_tensor (autograd.test_functional.TestAutogradFunctional) ... skip: test requires CUDA (0.001s)
2022-11-23T02:24:39.6742678Z   test_construct_standard_basis_for_cuda_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... skip: test requires CUDA (0.001s)
2022-11-23T02:24:39.6743127Z   test_construct_standard_basis_for_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.034s)
2022-11-23T02:24:39.6743556Z   test_hessian_create_graph_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.844s)
2022-11-23T02:24:39.6744032Z   test_hessian_create_graph_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (3.563s)
2022-11-23T02:24:39.6744458Z   test_hessian_create_graph_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.351s)
2022-11-23T02:24:39.6744932Z   test_hessian_create_graph_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (1.482s)
2022-11-23T02:24:39.6745359Z   test_hessian_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.009s)
2022-11-23T02:24:39.6745755Z   test_hessian_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.023s)
2022-11-23T02:24:39.6746171Z   test_hessian_err_check_strict_vectorize_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T02:24:39.6746599Z   test_hessian_err_check_strict_vectorize_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T02:24:39.6747030Z   test_hessian_err_check_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.017s)
2022-11-23T02:24:39.6747445Z   test_hessian_err_check_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.050s)
2022-11-23T02:24:39.6747873Z   test_hessian_err_check_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.009s)
2022-11-23T02:24:39.6748296Z   test_hessian_err_check_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.023s)
2022-11-23T02:24:39.6748708Z   test_hessian_match_vhp_hvp_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.009s)
2022-11-23T02:24:39.6749096Z   test_hessian_match_vhp_hvp_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.031s)
2022-11-23T02:24:39.6749493Z   test_hessian_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.010s)
2022-11-23T02:24:39.6749884Z   test_hessian_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.031s)
2022-11-23T02:24:39.6750272Z   test_hessian_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.014s)
2022-11-23T02:24:39.6750652Z   test_hessian_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.044s)
2022-11-23T02:24:39.6751055Z   test_hessian_output_vectorized_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.007s)
2022-11-23T02:24:39.6751471Z   test_hessian_output_vectorized_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.020s)
2022-11-23T02:24:39.6751885Z   test_hessian_scalar_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2022-11-23T02:24:39.6752294Z   test_hessian_scalar_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.025s)
2022-11-23T02:24:39.6752719Z   test_hessian_scalar_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T02:24:39.6753138Z   test_hessian_scalar_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.014s)
2022-11-23T02:24:39.6753570Z   test_hessian_vectorize_correctness_multi_input_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.084s)
2022-11-23T02:24:39.6754003Z   test_hessian_vectorize_correctness_multi_input_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.433s)
2022-11-23T02:24:39.6754442Z   test_hessian_vectorize_correctness_simple_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.032s)
2022-11-23T02:24:39.6754880Z   test_hessian_vectorize_correctness_simple_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.114s)
2022-11-23T02:24:39.6755315Z   test_hessian_vectorize_correctness_unrelated_outputs_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.021s)
2022-11-23T02:24:39.6755804Z   test_hessian_vectorize_correctness_unrelated_outputs_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.100s)
2022-11-23T02:24:39.6756252Z   test_hessian_vectorize_raises_no_warnings_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T02:24:39.6756714Z   test_hessian_vectorize_raises_no_warnings_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s)
2022-11-23T02:24:39.6757240Z   test_hvp_create_graph_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.482s)
2022-11-23T02:24:39.6757656Z   test_hvp_create_graph_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (1.738s)
2022-11-23T02:24:39.6758100Z   test_hvp_err_check_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.010s)
2022-11-23T02:24:39.6758490Z   test_hvp_err_check_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.024s)
2022-11-23T02:24:39.6758871Z   test_hvp_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T02:24:39.6759274Z   test_hvp_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.013s)
2022-11-23T02:24:39.6759669Z   test_hvp_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.007s)
2022-11-23T02:24:39.6760050Z   test_hvp_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.019s)
2022-11-23T02:24:39.6760421Z   test_hvp_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.021s)
2022-11-23T02:24:39.6760801Z   test_hvp_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.016s)
2022-11-23T02:24:39.6761181Z   test_hvp_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2022-11-23T02:24:39.6761550Z   test_hvp_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.016s)
2022-11-23T02:24:39.6761967Z   test_jacobian_create_graph_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.309s)
2022-11-23T02:24:39.6762402Z   test_jacobian_create_graph_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (1.241s)
2022-11-23T02:24:39.6762836Z   test_jacobian_create_graph_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.251s)
2022-11-23T02:24:39.6763258Z   test_jacobian_create_graph_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.852s)
2022-11-23T02:24:39.6763684Z   test_jacobian_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s)
2022-11-23T02:24:39.6764096Z   test_jacobian_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.021s)
2022-11-23T02:24:39.6764516Z   test_jacobian_err_check_strict_vectorize_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s)
2022-11-23T02:24:39.6764934Z   test_jacobian_err_check_strict_vectorize_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s)
2022-11-23T02:24:39.6765369Z   test_jacobian_err_check_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s)
2022-11-23T02:24:39.6765801Z   test_jacobian_err_check_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.023s)
2022-11-23T02:24:39.6766225Z   test_jacobian_err_check_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T02:24:39.6766639Z   test_jacobian_err_check_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.011s)
2022-11-23T02:24:39.6767050Z   test_jacobian_match_vjp_jvp_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.007s)
2022-11-23T02:24:39.6767453Z   test_jacobian_match_vjp_jvp_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.022s)
2022-11-23T02:24:39.6767910Z   test_jacobian_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2022-11-23T02:24:39.6768290Z   test_jacobian_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.017s)
2022-11-23T02:24:39.6768717Z   test_jacobian_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.009s)
2022-11-23T02:24:39.6769113Z   test_jacobian_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.028s)
2022-11-23T02:24:39.6769516Z   test_jacobian_output_vectorized_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2022-11-23T02:24:39.6769922Z   test_jacobian_output_vectorized_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.016s)
2022-11-23T02:24:39.6770326Z   test_jacobian_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T02:24:39.6770717Z   test_jacobian_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.011s)
2022-11-23T02:24:39.6771107Z   test_jacobian_scalar_vectorized_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T02:24:39.6771523Z   test_jacobian_scalar_vectorized_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.007s)
2022-11-23T02:24:39.6771986Z   test_jacobian_vectorize_correctness_different_devices_base_tensor (autograd.test_functional.TestAutogradFunctional) ... skip: test requires CUDA (0.001s)
2022-11-23T02:24:39.6772496Z   test_jacobian_vectorize_correctness_different_devices_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... skip: test requires CUDA (0.000s)
2022-11-23T02:24:39.6772972Z   test_jacobian_vectorize_correctness_different_dtype_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.007s)
2022-11-23T02:24:39.6773432Z   test_jacobian_vectorize_correctness_different_dtype_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.030s)
2022-11-23T02:24:39.6773888Z   test_jacobian_vectorize_correctness_multi_input_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.014s)
2022-11-23T02:24:39.6774342Z   test_jacobian_vectorize_correctness_multi_input_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.057s)
2022-11-23T02:24:39.6774790Z   test_jacobian_vectorize_correctness_multi_input_multi_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.047s)
2022-11-23T02:24:39.6775264Z   test_jacobian_vectorize_correctness_multi_input_multi_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.193s)
2022-11-23T02:24:39.6775716Z   test_jacobian_vectorize_correctness_simple_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.021s)
2022-11-23T02:24:39.6776154Z   test_jacobian_vectorize_correctness_simple_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.069s)
2022-11-23T02:24:39.6776605Z   test_jacobian_vectorize_correctness_unrelated_outputs_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.015s)
2022-11-23T02:24:39.6777051Z   test_jacobian_vectorize_correctness_unrelated_outputs_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.070s)
2022-11-23T02:24:39.6777501Z   test_jacobian_vectorize_correctness_zero_dim_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.023s)
2022-11-23T02:24:39.6777938Z   test_jacobian_vectorize_correctness_zero_dim_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.113s)
2022-11-23T02:24:39.6778362Z   test_jacobian_vectorize_raises_no_warnings_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s)
2022-11-23T02:24:39.6778864Z   test_jacobian_vectorize_raises_no_warnings_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T02:24:39.6779277Z   test_jvp_create_graph_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.355s)
2022-11-23T02:24:39.6779730Z   test_jvp_create_graph_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (1.207s)
2022-11-23T02:24:39.6780111Z   test_jvp_err_check_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T02:24:39.6780528Z   test_jvp_err_check_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s)
2022-11-23T02:24:39.6780922Z   test_jvp_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T02:24:39.6781322Z   test_jvp_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.014s)
2022-11-23T02:24:39.6781702Z   test_jvp_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T02:24:39.6782081Z   test_jvp_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2022-11-23T02:24:39.6782460Z   test_jvp_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2022-11-23T02:24:39.6782839Z   test_jvp_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.014s)
2022-11-23T02:24:39.6783208Z   test_jvp_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T02:24:39.6783591Z   test_jvp_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.010s)
2022-11-23T02:24:39.6783976Z   test_vhp_create_graph_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.416s)
2022-11-23T02:24:39.6784356Z   test_vhp_create_graph_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (1.538s)
2022-11-23T02:24:39.6784746Z   test_vhp_err_check_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.007s)
2022-11-23T02:24:39.6785129Z   test_vhp_err_check_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.015s)
2022-11-23T02:24:39.6785518Z   test_vhp_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T02:24:39.6785907Z   test_vhp_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.012s)
2022-11-23T02:24:39.6786296Z   test_vhp_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s)
2022-11-23T02:24:39.6786681Z   test_vhp_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.017s)
2022-11-23T02:24:39.6787060Z   test_vhp_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T02:24:39.6787426Z   test_vhp_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.012s)
2022-11-23T02:24:39.6787802Z   test_vhp_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T02:24:39.6788183Z   test_vhp_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.009s)
2022-11-23T02:24:39.6788561Z   test_vjp_create_graph_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.326s)
2022-11-23T02:24:39.6788957Z   test_vjp_create_graph_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (1.034s)
2022-11-23T02:24:39.6789347Z   test_vjp_err_check_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s)
2022-11-23T02:24:39.6789732Z   test_vjp_err_check_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s)
2022-11-23T02:24:39.6790111Z   test_vjp_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T02:24:39.6790507Z   test_vjp_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.012s)
2022-11-23T02:24:39.6790894Z   test_vjp_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T02:24:39.6791272Z   test_vjp_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.015s)
2022-11-23T02:24:39.6791637Z   test_vjp_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s)
2022-11-23T02:24:39.6792055Z   test_vjp_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.011s)
2022-11-23T02:24:39.6792473Z   test_vjp_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s)
2022-11-23T02:24:39.6792840Z   test_vjp_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.007s)
2022-11-23T02:24:39.6793204Z   test_inference_mode_context_manager (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2022-11-23T02:24:39.6793545Z   test_inference_mode_decorator (__main__.TestAutogradInferenceMode) ... ok (0.002s)
2022-11-23T02:24:39.6793897Z   test_inference_mode_existing_autograd_session (__main__.TestAutogradInferenceMode) ... ok (0.011s)
2022-11-23T02:24:39.6794256Z   test_inference_mode_handle_direct_view_on_rebase (__main__.TestAutogradInferenceMode) ... ok (0.015s)
2022-11-23T02:24:39.6794630Z   test_inference_mode_handle_indirect_view_on_rebase (__main__.TestAutogradInferenceMode) ... ok (0.010s)
2022-11-23T02:24:39.6795016Z   test_inference_mode_inf_tensor_in_inf_mode_functional_op (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2022-11-23T02:24:39.6795403Z   test_inference_mode_inf_tensor_in_inf_mode_inplace_op (__main__.TestAutogradInferenceMode) ... ok (0.002s)
2022-11-23T02:24:39.6795767Z   test_inference_mode_inf_tensor_in_inf_mode_view_op (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2022-11-23T02:24:39.6796155Z   test_inference_mode_inf_tensor_in_normal_mode_functional_op (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2022-11-23T02:24:39.6796546Z   test_inference_mode_inf_tensor_in_normal_mode_inplace_op (__main__.TestAutogradInferenceMode) ... ok (0.015s)
2022-11-23T02:24:39.6796922Z   test_inference_mode_inf_tensor_in_normal_mode_view_op (__main__.TestAutogradInferenceMode) ... ok (0.001s)
2022-11-23T02:24:39.6797404Z   test_inference_mode_tensor_creation (__main__.TestAutogradInferenceMode) ... ok (0.029s)
2022-11-23T02:24:39.6797768Z   test_mix_inference_and_normal_tensor_functional_op (__main__.TestAutogradInferenceMode) ... ok (0.009s)
2022-11-23T02:24:39.6798135Z   test_mix_inference_and_normal_tensor_inplace_op (__main__.TestAutogradInferenceMode) ... ok (0.021s)
2022-11-23T02:24:39.6798493Z   test_mix_inference_and_normal_tensor_view_op (__main__.TestAutogradInferenceMode) ... ok (0.002s)
2022-11-23T02:24:39.6798860Z   test_normal_tensor_inplace_output_in_inference_mode (__main__.TestAutogradInferenceMode) ... ok (0.003s)
2022-11-23T02:24:39.6799234Z   test_normal_tensor_inplace_output_in_normal_mode (__main__.TestAutogradInferenceMode) ... ok (0.002s)
2022-11-23T02:24:39.6799600Z   test_normal_tensor_view_output_in_inference_mode (__main__.TestAutogradInferenceMode) ... ok (0.002s)
2022-11-23T02:24:39.6799949Z   test_normal_tensor_view_output_in_normal_mode (__main__.TestAutogradInferenceMode) ... ok (0.009s)
2022-11-23T02:24:39.6800350Z   test_autograd_composite_implicit_and_dispatch_registration_cpu (__main__.TestAutogradMultipleDispatchCPU) ... ok (0.007s)
2022-11-23T02:24:39.6800782Z   test_autograd_multiple_dispatch_registrations_cpu (__main__.TestAutogradMultipleDispatchCPU) ... ok (0.005s)
2022-11-23T02:24:39.6801197Z   test_backward_single_threaded_cpu (__main__.TestAutogradMultipleDispatchCPU) ... skip: Only runs on cuda (0.002s)
2022-11-23T02:24:39.6801564Z   test_foward_mode_AD_cpu (__main__.TestAutogradMultipleDispatchCPU) ... ok (0.001s)
2022-11-23T02:24:39.6801931Z   test_per_dispatch_key_input_saving_cpu (__main__.TestAutogradMultipleDispatchCPU) ... ok (0.012s)
2022-11-23T02:24:39.6802287Z   test_view_copy_cpu (__main__.TestAutogradMultipleDispatchCPU) ... ok (0.004s)
2022-11-23T02:24:39.6802594Z   test_cat_stack_r_to_c (__main__.TestMultithreadAutograd) ... ok (0.558s)
2022-11-23T02:24:39.6802921Z   test_dataparallel_saved_tensors_hooks (__main__.TestMultithreadAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6803245Z   test_fork_join_in_middle (__main__.TestMultithreadAutograd) ... ok (0.071s)
2022-11-23T02:24:39.6803617Z   test_multi_grad_hooks (__main__.TestMultithreadAutograd) ... ok (0.012s)
2022-11-23T02:24:39.6803938Z   test_multithreaded_exception_propagation (__main__.TestMultithreadAutograd) ... ok (0.003s)
2022-11-23T02:24:39.6804314Z   test_preserve_backtrace (__main__.TestMultithreadAutograd) ... ok (0.002s)
2022-11-23T02:24:39.6804634Z   test_python_thread_in_middle (__main__.TestMultithreadAutograd) ... ok (0.049s)
2022-11-23T02:24:39.6804932Z   test_simple_backward (__main__.TestMultithreadAutograd) ... ok (0.016s)
2022-11-23T02:24:39.6805254Z   test_simple_backward_same_input (__main__.TestMultithreadAutograd) ... ok (0.039s)
2022-11-23T02:24:39.6805438Z 
2022-11-23T02:24:39.6805672Z ----------------------------------------------------------------------
2022-11-23T02:24:39.6805922Z Ran 526 tests in 67.004s
2022-11-23T02:24:39.6806024Z 
2022-11-23T02:24:39.6806119Z OK (skipped=28, expected failures=2)
2022-11-23T02:24:39.6806248Z 
2022-11-23T02:24:39.6806331Z Generating XML reports...
2022-11-23T02:24:39.6806769Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAllowMutationOnSaved-20221123022331.xml
2022-11-23T02:24:39.6807280Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutograd-20221123022331.xml
2022-11-23T02:24:39.6807838Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-autograd.test_complex.TestAutogradComplex-20221123022331.xml
2022-11-23T02:24:39.6808417Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutogradDeviceTypeCPU-20221123022331.xml
2022-11-23T02:24:39.6808967Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutogradForwardMode-20221123022331.xml
2022-11-23T02:24:39.6809537Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutogradForwardModeBatchedGrad-20221123022331.xml
2022-11-23T02:24:39.6810169Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-autograd.test_functional.TestAutogradFunctional-20221123022331.xml
2022-11-23T02:24:39.6810754Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutogradInferenceMode-20221123022331.xml
2022-11-23T02:24:39.6811331Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutogradMultipleDispatchCPU-20221123022331.xml
2022-11-23T02:24:39.6811885Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestMultithreadAutograd-20221123022331.xml
2022-11-23T02:24:39.6812130Z 
2022-11-23T02:24:39.6812458Z ##[endgroup]
2022-11-23T02:24:39.6812829Z FINISHED PRINTING LOG FILE of test_autograd (/var/lib/jenkins/workspace/test/test-reports/test_autograd_tq3vfwhs)
2022-11-23T02:24:39.6813043Z 
2022-11-23T02:24:39.6813193Z Running test_show_pickle ... [2022-11-23 02:24:39.648014]
2022-11-23T02:24:39.6813661Z Executing ['/opt/conda/bin/python', '-bb', 'test_show_pickle.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:24:39.648473]
2022-11-23T02:24:44.4799113Z 
2022-11-23T02:24:44.4799735Z Expand the folded group to see the log file of test_show_pickle
2022-11-23T02:24:44.4800581Z ##[group]PRINTING LOG FILE of test_show_pickle (/var/lib/jenkins/workspace/test/test-reports/test_show_pickle_d46z03h1)
2022-11-23T02:24:44.4802322Z Test results will be stored in test-reports/python-unittest/test_show_pickle
2022-11-23T02:24:44.4802640Z 
2022-11-23T02:24:44.4802738Z Running tests...
2022-11-23T02:24:44.4803086Z ----------------------------------------------------------------------
2022-11-23T02:24:44.4803497Z   test_scripted_model (__main__.TestShowPickle) ... ok (0.395s)
2022-11-23T02:24:44.4803694Z 
2022-11-23T02:24:44.4803900Z ----------------------------------------------------------------------
2022-11-23T02:24:44.4805497Z Ran 1 test in 0.395s
2022-11-23T02:24:44.4805639Z 
2022-11-23T02:24:44.4805743Z OK
2022-11-23T02:24:44.4805884Z 
2022-11-23T02:24:44.4806021Z Generating XML reports...
2022-11-23T02:24:44.4806795Z Generated XML report: test-reports/python-unittest/test_show_pickle/TEST-TestShowPickle-20221123022443.xml
2022-11-23T02:24:44.4807249Z 
2022-11-23T02:24:44.4807679Z ##[endgroup]
2022-11-23T02:24:44.4808275Z FINISHED PRINTING LOG FILE of test_show_pickle (/var/lib/jenkins/workspace/test/test-reports/test_show_pickle_d46z03h1)
2022-11-23T02:24:44.4808666Z 
2022-11-23T02:24:45.2014095Z 
2022-11-23T02:24:45.2014820Z real	72m54.741s
2022-11-23T02:24:45.2015196Z user	120m54.475s
2022-11-23T02:24:45.2015420Z sys	18m57.218s
2022-11-23T02:24:45.2015599Z + assert_git_not_dirty
2022-11-23T02:24:45.2015988Z + [[ linux-focal-py3.7-clang7-asan != *rocm* ]]
2022-11-23T02:24:45.2016382Z + [[ linux-focal-py3.7-clang7-asan != *xla* ]]
2022-11-23T02:24:45.2017479Z ++ git status --porcelain
2022-11-23T02:24:57.5101290Z + git_status=
2022-11-23T02:24:57.5101848Z + [[ -n '' ]]
2022-11-23T02:24:57.5102067Z + test_libtorch
2022-11-23T02:24:57.5102353Z + [[ linux-focal-py3.7-clang7-asan != *rocm* ]]
2022-11-23T02:24:57.5102621Z + echo 'Testing libtorch'
2022-11-23T02:24:57.5102806Z Testing libtorch
2022-11-23T02:24:57.5103234Z + ln -sf /opt/conda/lib/python3.7/site-packages/torch/lib/libbackend_with_compiler.so /opt/conda/lib/python3.7/site-packages/torch/bin
2022-11-23T02:24:57.5202248Z + ln -sf /opt/conda/lib/python3.7/site-packages/torch/lib/libjitbackend_test.so /opt/conda/lib/python3.7/site-packages/torch/bin
2022-11-23T02:24:57.5234952Z + ln -sf /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so /opt/conda/lib/python3.7/site-packages/torch/bin
2022-11-23T02:24:57.5267540Z + ln -sf /opt/conda/lib/python3.7/site-packages/torch/lib/libshm.so /opt/conda/lib/python3.7/site-packages/torch/bin
2022-11-23T02:24:57.5300170Z + ln -sf /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch.so /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_python.so /opt/conda/lib/python3.7/site-packages/torch/lib/libtorchbind_test.so /opt/conda/lib/python3.7/site-packages/torch/bin
2022-11-23T02:24:57.5333523Z + ln -sf '/opt/conda/lib/python3.7/site-packages/torch/lib/libtbb*' /opt/conda/lib/python3.7/site-packages/torch/bin
2022-11-23T02:24:57.5365307Z + TEST_REPORTS_DIR=test/test-reports/cpp-unittest/test_libtorch
2022-11-23T02:24:57.5365722Z + mkdir -p test/test-reports/cpp-unittest/test_libtorch
2022-11-23T02:24:57.5366107Z + python tools/download_mnist.py --quiet -d test/cpp/api/mnist
2022-11-23T02:24:57.5436428Z + [[ linux-focal-py3.7-clang7-asan != *-tsan* ]]
2022-11-23T02:24:57.5436846Z + python test/cpp/jit/tests_setup.py setup
2022-11-23T02:24:57.5964992Z Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz ...
2022-11-23T02:24:58.0600130Z Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz ...
2022-11-23T02:24:58.0803230Z Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz ...
2022-11-23T02:24:58.1935561Z Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz ...
2022-11-23T02:25:01.7107932Z + [[ linux-focal-py3.7-clang7-asan == *cuda* ]]
2022-11-23T02:25:01.7108492Z + /opt/conda/lib/python3.7/site-packages/torch/bin/test_jit '--gtest_filter=-*CUDA' --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/test_jit.xml
2022-11-23T02:25:04.0208912Z CUDA not available. Disabling CUDA and MultiCUDA tests
2022-11-23T02:25:04.0223266Z Note: Google Test filter = -*CUDA:*_CUDA:*_MultiCUDA
2022-11-23T02:25:04.0223852Z [==========] Running 567 tests from 117 test suites.
2022-11-23T02:25:04.0224161Z [----------] Global test environment set-up.
2022-11-23T02:25:04.0224471Z [----------] 2 tests from AddIfThenElseOpTest
2022-11-23T02:25:04.0224819Z [ RUN      ] AddIfThenElseOpTest.AddIfThenElseOpSimple
2022-11-23T02:25:04.0451313Z [       OK ] AddIfThenElseOpTest.AddIfThenElseOpSimple (22 ms)
2022-11-23T02:25:04.0451950Z [ RUN      ] AddIfThenElseOpTest.NoIfThenElseOpMultipleOutputs
2022-11-23T02:25:04.0456168Z [       OK ] AddIfThenElseOpTest.NoIfThenElseOpMultipleOutputs (0 ms)
2022-11-23T02:25:04.0456957Z [----------] 2 tests from AddIfThenElseOpTest (23 ms total)
2022-11-23T02:25:04.0457134Z 
2022-11-23T02:25:04.0457305Z [----------] 15 tests from TopologicalMoveTest
2022-11-23T02:25:04.0457698Z [ RUN      ] TopologicalMoveTest.SplitsDeps
2022-11-23T02:25:04.0465204Z [       OK ] TopologicalMoveTest.SplitsDeps (0 ms)
2022-11-23T02:25:04.0465606Z [ RUN      ] TopologicalMoveTest.MoveAfterBackwardSimple
2022-11-23T02:25:04.0472466Z [       OK ] TopologicalMoveTest.MoveAfterBackwardSimple (0 ms)
2022-11-23T02:25:04.0472949Z [ RUN      ] TopologicalMoveTest.MoveAfterBackwardInvalid
2022-11-23T02:25:04.0479950Z [       OK ] TopologicalMoveTest.MoveAfterBackwardInvalid (0 ms)
2022-11-23T02:25:04.0480342Z [ RUN      ] TopologicalMoveTest.MoveAfterNoOp
2022-11-23T02:25:04.0486159Z [       OK ] TopologicalMoveTest.MoveAfterNoOp (0 ms)
2022-11-23T02:25:04.0486706Z [ RUN      ] TopologicalMoveTest.MoveAfterBackwardMultipleDeps
2022-11-23T02:25:04.0493041Z [       OK ] TopologicalMoveTest.MoveAfterBackwardMultipleDeps (0 ms)
2022-11-23T02:25:04.0493506Z [ RUN      ] TopologicalMoveTest.MoveAfterBackwardNonZeroWorkingSet
2022-11-23T02:25:04.0500277Z [       OK ] TopologicalMoveTest.MoveAfterBackwardNonZeroWorkingSet (0 ms)
2022-11-23T02:25:04.0500738Z [ RUN      ] TopologicalMoveTest.MoveAfterForwardSimple
2022-11-23T02:25:04.0506759Z [       OK ] TopologicalMoveTest.MoveAfterForwardSimple (0 ms)
2022-11-23T02:25:04.0507189Z [ RUN      ] TopologicalMoveTest.MoveAfterForwardNonZeroWorkingSet
2022-11-23T02:25:04.0513593Z [       OK ] TopologicalMoveTest.MoveAfterForwardNonZeroWorkingSet (0 ms)
2022-11-23T02:25:04.0514040Z [ RUN      ] TopologicalMoveTest.MoveBeforeForwardSimple
2022-11-23T02:25:04.0520181Z [       OK ] TopologicalMoveTest.MoveBeforeForwardSimple (0 ms)
2022-11-23T02:25:04.0520591Z [ RUN      ] TopologicalMoveTest.MoveBeforeBackwardSimple
2022-11-23T02:25:04.0526777Z [       OK ] TopologicalMoveTest.MoveBeforeBackwardSimple (0 ms)
2022-11-23T02:25:04.0527430Z [ RUN      ] TopologicalMoveTest.MoveBeforeNoOp
2022-11-23T02:25:04.0532778Z [       OK ] TopologicalMoveTest.MoveBeforeNoOp (0 ms)
2022-11-23T02:25:04.0533417Z [ RUN      ] TopologicalMoveTest.MoveBeforeForwardWithDeps
2022-11-23T02:25:04.0539309Z [       OK ] TopologicalMoveTest.MoveBeforeForwardWithDeps (0 ms)
2022-11-23T02:25:04.0539932Z [ RUN      ] TopologicalMoveTest.MoveBeforeBackwardWithDeps
2022-11-23T02:25:04.0546037Z [       OK ] TopologicalMoveTest.MoveBeforeBackwardWithDeps (0 ms)
2022-11-23T02:25:04.0546638Z [ RUN      ] TopologicalMoveTest.DepsDisallowMove
2022-11-23T02:25:04.0556301Z [       OK ] TopologicalMoveTest.DepsDisallowMove (1 ms)
2022-11-23T02:25:04.0556905Z [ RUN      ] TopologicalMoveTest.MoveAfterBeforeWithDeps
2022-11-23T02:25:04.0564577Z [       OK ] TopologicalMoveTest.MoveAfterBeforeWithDeps (0 ms)
2022-11-23T02:25:04.0565245Z [----------] 15 tests from TopologicalMoveTest (10 ms total)
2022-11-23T02:25:04.0565423Z 
2022-11-23T02:25:04.0565598Z [----------] 6 tests from AliasAnalysisTest
2022-11-23T02:25:04.0565942Z [ RUN      ] AliasAnalysisTest.AliasingMutationBlocksMoves
2022-11-23T02:25:04.0906421Z [       OK ] AliasAnalysisTest.AliasingMutationBlocksMoves (34 ms)
2022-11-23T02:25:04.0906857Z [ RUN      ] AliasAnalysisTest.AliasingMutationBlocksMoves2
2022-11-23T02:25:04.0912409Z [       OK ] AliasAnalysisTest.AliasingMutationBlocksMoves2 (0 ms)
2022-11-23T02:25:04.0912799Z [ RUN      ] AliasAnalysisTest.SideEffectsBlockMoves
2022-11-23T02:25:04.0914585Z [       OK ] AliasAnalysisTest.SideEffectsBlockMoves (0 ms)
2022-11-23T02:25:04.0915019Z [ RUN      ] AliasAnalysisTest.MovingAcrossInnerBlocks
2022-11-23T02:25:04.0932902Z [       OK ] AliasAnalysisTest.MovingAcrossInnerBlocks (1 ms)
2022-11-23T02:25:04.0933263Z [ RUN      ] AliasAnalysisTest.NoneHasNoWriters
2022-11-23T02:25:04.0937717Z [       OK ] AliasAnalysisTest.NoneHasNoWriters (0 ms)
2022-11-23T02:25:04.0938180Z [ RUN      ] AliasAnalysisTest.SafeToChangeAliasingRelationship
2022-11-23T02:25:04.0946008Z [       OK ] AliasAnalysisTest.SafeToChangeAliasingRelationship (0 ms)
2022-11-23T02:25:04.0946438Z [----------] 6 tests from AliasAnalysisTest (38 ms total)
2022-11-23T02:25:04.0946612Z 
2022-11-23T02:25:04.0946773Z [----------] 4 tests from WriteTrackingTest
2022-11-23T02:25:04.0947063Z [ RUN      ] WriteTrackingTest.Basic
2022-11-23T02:25:04.0950962Z [       OK ] WriteTrackingTest.Basic (0 ms)
2022-11-23T02:25:04.0951271Z [ RUN      ] WriteTrackingTest.IsMutable
2022-11-23T02:25:04.0953786Z [       OK ] WriteTrackingTest.IsMutable (0 ms)
2022-11-23T02:25:04.0954094Z [ RUN      ] WriteTrackingTest.IsImmutable
2022-11-23T02:25:04.0956785Z [       OK ] WriteTrackingTest.IsImmutable (0 ms)
2022-11-23T02:25:04.0957107Z [ RUN      ] WriteTrackingTest.HasWriters
2022-11-23T02:25:04.0960939Z [       OK ] WriteTrackingTest.HasWriters (0 ms)
2022-11-23T02:25:04.0961359Z [----------] 4 tests from WriteTrackingTest (1 ms total)
2022-11-23T02:25:04.0961532Z 
2022-11-23T02:25:04.0961714Z [----------] 13 tests from ContainerAliasingTest
2022-11-23T02:25:04.0962057Z [ RUN      ] ContainerAliasingTest.MayContainAlias
2022-11-23T02:25:04.0968190Z [       OK ] ContainerAliasingTest.MayContainAlias (0 ms)
2022-11-23T02:25:04.0968595Z [ RUN      ] ContainerAliasingTest.MayContainAlias_cast
2022-11-23T02:25:04.0975077Z [       OK ] ContainerAliasingTest.MayContainAlias_cast (0 ms)
2022-11-23T02:25:04.0975597Z [ RUN      ] ContainerAliasingTest.PrimitveValuesDontAliasContainers
2022-11-23T02:25:04.0980305Z [       OK ] ContainerAliasingTest.PrimitveValuesDontAliasContainers (0 ms)
2022-11-23T02:25:04.0980750Z [ RUN      ] ContainerAliasingTest.UnionAliasing
2022-11-23T02:25:04.0985490Z [       OK ] ContainerAliasingTest.UnionAliasing (0 ms)
2022-11-23T02:25:04.0985949Z [ RUN      ] ContainerAliasingTest.InputsCanAliasOutputs
2022-11-23T02:25:04.0988731Z [       OK ] ContainerAliasingTest.InputsCanAliasOutputs (0 ms)
2022-11-23T02:25:04.0989273Z [ RUN      ] ContainerAliasingTest.NestedTupleConstruct
2022-11-23T02:25:04.0995426Z [       OK ] ContainerAliasingTest.NestedTupleConstruct (0 ms)
2022-11-23T02:25:04.0995823Z [ RUN      ] ContainerAliasingTest.NestedTypes
2022-11-23T02:25:04.1001117Z [       OK ] ContainerAliasingTest.NestedTypes (0 ms)
2022-11-23T02:25:04.1001456Z [ RUN      ] ContainerAliasingTest.Simple
2022-11-23T02:25:04.1004686Z [       OK ] ContainerAliasingTest.Simple (0 ms)
2022-11-23T02:25:04.1004994Z [ RUN      ] ContainerAliasingTest.Lists
2022-11-23T02:25:04.1008742Z [       OK ] ContainerAliasingTest.Lists (0 ms)
2022-11-23T02:25:04.1009073Z [ RUN      ] ContainerAliasingTest.Lists2
2022-11-23T02:25:04.1017556Z [       OK ] ContainerAliasingTest.Lists2 (0 ms)
2022-11-23T02:25:04.1017884Z [ RUN      ] ContainerAliasingTest.Conservative
2022-11-23T02:25:04.1030646Z [       OK ] ContainerAliasingTest.Conservative (1 ms)
2022-11-23T02:25:04.1031060Z [ RUN      ] ContainerAliasingTest.MovesAcrossContainedWrites
2022-11-23T02:25:04.1046477Z [       OK ] ContainerAliasingTest.MovesAcrossContainedWrites (1 ms)
2022-11-23T02:25:04.1046953Z [ RUN      ] ContainerAliasingTest.MovesAcrossContainedWritesNested
2022-11-23T02:25:04.1062173Z [       OK ] ContainerAliasingTest.MovesAcrossContainedWritesNested (1 ms)
2022-11-23T02:25:04.1062837Z [----------] 13 tests from ContainerAliasingTest (10 ms total)
2022-11-23T02:25:04.1063004Z 
2022-11-23T02:25:04.1063161Z [----------] 3 tests from WildcardsTest
2022-11-23T02:25:04.1063433Z [ RUN      ] WildcardsTest.Basic
2022-11-23T02:25:04.1074625Z [       OK ] WildcardsTest.Basic (1 ms)
2022-11-23T02:25:04.1074927Z [ RUN      ] WildcardsTest.TypeIsolation
2022-11-23T02:25:04.1081392Z [       OK ] WildcardsTest.TypeIsolation (0 ms)
2022-11-23T02:25:04.1081758Z [ RUN      ] WildcardsTest.InvariantContainerAliasing
2022-11-23T02:25:04.1090711Z [       OK ] WildcardsTest.InvariantContainerAliasing (0 ms)
2022-11-23T02:25:04.1091084Z [----------] 3 tests from WildcardsTest (2 ms total)
2022-11-23T02:25:04.1091246Z 
2022-11-23T02:25:04.1091424Z [----------] 18 tests from AliasRegistrationTest
2022-11-23T02:25:04.1091815Z [ RUN      ] AliasRegistrationTest.ConservativeWithInferredSchema
2022-11-23T02:25:04.1098169Z [       OK ] AliasRegistrationTest.ConservativeWithInferredSchema (0 ms)
2022-11-23T02:25:04.1098704Z [ RUN      ] AliasRegistrationTest.ConservativeWithSpecifiedSchema
2022-11-23T02:25:04.1105569Z [       OK ] AliasRegistrationTest.ConservativeWithSpecifiedSchema (0 ms)
2022-11-23T02:25:04.1106103Z [ RUN      ] AliasRegistrationTest.ConservativeWithAliasingAnnotationsShouldError
2022-11-23T02:25:04.1239905Z [       OK ] AliasRegistrationTest.ConservativeWithAliasingAnnotationsShouldError (13 ms)
2022-11-23T02:25:04.1240550Z [ RUN      ] AliasRegistrationTest.ConservativeWithAliasingAnnotationsShouldError2
2022-11-23T02:25:04.1321218Z [       OK ] AliasRegistrationTest.ConservativeWithAliasingAnnotationsShouldError2 (8 ms)
2022-11-23T02:25:04.1321798Z [ RUN      ] AliasRegistrationTest.FromSchemaWithInferredSchemaShouldError
2022-11-23T02:25:04.1361499Z [       OK ] AliasRegistrationTest.FromSchemaWithInferredSchemaShouldError (4 ms)
2022-11-23T02:25:04.1362024Z [ RUN      ] AliasRegistrationTest.FromSchemaInferredPure
2022-11-23T02:25:04.1369891Z [       OK ] AliasRegistrationTest.FromSchemaInferredPure (0 ms)
2022-11-23T02:25:04.1370353Z [ RUN      ] AliasRegistrationTest.FromSchemaAliased
2022-11-23T02:25:04.1378356Z [       OK ] AliasRegistrationTest.FromSchemaAliased (0 ms)
2022-11-23T02:25:04.1378868Z [ RUN      ] AliasRegistrationTest.FromSchemaPure
2022-11-23T02:25:04.1386402Z [       OK ] AliasRegistrationTest.FromSchemaPure (0 ms)
2022-11-23T02:25:04.1386819Z [ RUN      ] AliasRegistrationTest.PureNoSchema
2022-11-23T02:25:04.1393375Z [       OK ] AliasRegistrationTest.PureNoSchema (0 ms)
2022-11-23T02:25:04.1393807Z [ RUN      ] AliasRegistrationTest.PureWithSchema
2022-11-23T02:25:04.1400589Z [       OK ] AliasRegistrationTest.PureWithSchema (0 ms)
2022-11-23T02:25:04.1401103Z [ RUN      ] AliasRegistrationTest.PureWithAnnotationsShouldError
2022-11-23T02:25:04.1464016Z [       OK ] AliasRegistrationTest.PureWithAnnotationsShouldError (6 ms)
2022-11-23T02:25:04.1464492Z [ RUN      ] AliasRegistrationTest.AliasMoveAtenListOp
2022-11-23T02:25:04.1471208Z [       OK ] AliasRegistrationTest.AliasMoveAtenListOp (0 ms)
2022-11-23T02:25:04.1471809Z [ RUN      ] AliasRegistrationTest.AliasMoveForTupleConstructWithSingleUseAsGraphOutput
2022-11-23T02:25:04.1475375Z [       OK ] AliasRegistrationTest.AliasMoveForTupleConstructWithSingleUseAsGraphOutput (0 ms)
2022-11-23T02:25:04.1475975Z [ RUN      ] AliasRegistrationTest.RecursiveSubgraphTupleContainment
2022-11-23T02:25:04.1505765Z [       OK ] AliasRegistrationTest.RecursiveSubgraphTupleContainment (2 ms)
2022-11-23T02:25:04.1506282Z [ RUN      ] AliasRegistrationTest.WildcardAliasForTupleConstructWithUses
2022-11-23T02:25:04.1512994Z [       OK ] AliasRegistrationTest.WildcardAliasForTupleConstructWithUses (0 ms)
2022-11-23T02:25:04.1513481Z [ RUN      ] AliasRegistrationTest.ATenSplitIntListAliasCheck
2022-11-23T02:25:04.1523057Z [       OK ] AliasRegistrationTest.ATenSplitIntListAliasCheck (1 ms)
2022-11-23T02:25:04.1523599Z [ RUN      ] AliasRegistrationTest.ATenSplitIntAliasCheck
2022-11-23T02:25:04.1531878Z [       OK ] AliasRegistrationTest.ATenSplitIntAliasCheck (0 ms)
2022-11-23T02:25:04.1532314Z [ RUN      ] AliasRegistrationTest.PureWithAnnotationsShouldError2
2022-11-23T02:25:04.1597294Z [       OK ] AliasRegistrationTest.PureWithAnnotationsShouldError2 (6 ms)
2022-11-23T02:25:04.1598046Z [----------] 18 tests from AliasRegistrationTest (50 ms total)
2022-11-23T02:25:04.1598231Z 
2022-11-23T02:25:04.1598404Z [----------] 2 tests from IRNonDeterminismTest
2022-11-23T02:25:04.1598696Z [ RUN      ] IRNonDeterminismTest.Basic
2022-11-23T02:25:04.1602346Z [       OK ] IRNonDeterminismTest.Basic (0 ms)
2022-11-23T02:25:04.1602961Z [ RUN      ] IRNonDeterminismTest.DropoutSpecialCase
2022-11-23T02:25:04.1614764Z [       OK ] IRNonDeterminismTest.DropoutSpecialCase (1 ms)
2022-11-23T02:25:04.1615148Z [----------] 2 tests from IRNonDeterminismTest (1 ms total)
2022-11-23T02:25:04.1615325Z 
2022-11-23T02:25:04.1615543Z [----------] 1 test from NonDeterminismBackwardsCompatibility
2022-11-23T02:25:04.1615995Z [ RUN      ] NonDeterminismBackwardsCompatibility.BackwardsCompatibility
2022-11-23T02:25:04.1640498Z [       OK ] NonDeterminismBackwardsCompatibility.BackwardsCompatibility (2 ms)
2022-11-23T02:25:04.1641001Z [----------] 1 test from NonDeterminismBackwardsCompatibility (2 ms total)
2022-11-23T02:25:04.1641209Z 
2022-11-23T02:25:04.1641358Z [----------] 3 tests from AutodiffTest
2022-11-23T02:25:04.1641636Z [ RUN      ] AutodiffTest.ADFormulas
2022-11-23T02:25:04.5546519Z [       OK ] AutodiffTest.ADFormulas (390 ms)
2022-11-23T02:25:04.5546885Z [ RUN      ] AutodiffTest.Differentiate
2022-11-23T02:25:04.5580354Z [       OK ] AutodiffTest.Differentiate (3 ms)
2022-11-23T02:25:04.5580731Z [ RUN      ] AutodiffTest.DifferentiateWithRequiresGrad
2022-11-23T02:25:04.5810007Z [       OK ] AutodiffTest.DifferentiateWithRequiresGrad (22 ms)
2022-11-23T02:25:04.5810399Z [----------] 3 tests from AutodiffTest (416 ms total)
2022-11-23T02:25:04.5810559Z 
2022-11-23T02:25:04.5810766Z [----------] 1 test from AutodiffRemoveUnusedGradientsTest
2022-11-23T02:25:04.5811140Z [ RUN      ] AutodiffRemoveUnusedGradientsTest.Linear
2022-11-23T02:25:04.5920591Z [       OK ] AutodiffRemoveUnusedGradientsTest.Linear (11 ms)
2022-11-23T02:25:04.5921075Z [----------] 1 test from AutodiffRemoveUnusedGradientsTest (11 ms total)
2022-11-23T02:25:04.5921289Z 
2022-11-23T02:25:04.5921442Z [----------] 1 test from UpgraderLoad
2022-11-23T02:25:04.5921756Z [ RUN      ] UpgraderLoad.CanPopulateUpgradersGraph
2022-11-23T02:25:04.6270519Z [       OK ] UpgraderLoad.CanPopulateUpgradersGraph (34 ms)
2022-11-23T02:25:04.6270911Z [----------] 1 test from UpgraderLoad (34 ms total)
2022-11-23T02:25:04.6271065Z 
2022-11-23T02:25:04.6271232Z [----------] 4 tests from OpReplacementTest
2022-11-23T02:25:04.6271577Z [ RUN      ] OpReplacementTest.ReplaceDivInSimpleFunction
2022-11-23T02:25:04.6287381Z [       OK ] OpReplacementTest.ReplaceDivInSimpleFunction (1 ms)
2022-11-23T02:25:04.6287860Z [ RUN      ] OpReplacementTest.ReplaceTwoOpsInSimpleFunction
2022-11-23T02:25:04.6305193Z [       OK ] OpReplacementTest.ReplaceTwoOpsInSimpleFunction (1 ms)
2022-11-23T02:25:04.6305630Z [ RUN      ] OpReplacementTest.ReplaceDivInNestedFunction
2022-11-23T02:25:04.6326452Z [       OK ] OpReplacementTest.ReplaceDivInNestedFunction (2 ms)
2022-11-23T02:25:04.6327133Z [ RUN      ] OpReplacementTest.ReplaceTestSubcmulInSimpleFunction
2022-11-23T02:25:04.6341019Z [       OK ] OpReplacementTest.ReplaceTestSubcmulInSimpleFunction (1 ms)
2022-11-23T02:25:04.6341748Z [----------] 4 tests from OpReplacementTest (7 ms total)
2022-11-23T02:25:04.6341939Z 
2022-11-23T02:25:04.6342111Z [----------] 4 tests from UpgraderUtils
2022-11-23T02:25:04.6342599Z [ RUN      ] UpgraderUtils.FindCorrectUpgrader
2022-11-23T02:25:04.6343108Z [       OK ] UpgraderUtils.FindCorrectUpgrader (0 ms)
2022-11-23T02:25:04.6343536Z [ RUN      ] UpgraderUtils.IsVersionMapSorted
2022-11-23T02:25:04.6343886Z [       OK ] UpgraderUtils.IsVersionMapSorted (0 ms)
2022-11-23T02:25:04.6344284Z [ RUN      ] UpgraderUtils.FindIfOpIsCurrent
2022-11-23T02:25:04.6344784Z [       OK ] UpgraderUtils.FindIfOpIsCurrent (0 ms)
2022-11-23T02:25:04.6345120Z [ RUN      ] UpgraderUtils.CanLoadHistoricOp
2022-11-23T02:25:04.6345585Z [       OK ] UpgraderUtils.CanLoadHistoricOp (0 ms)
2022-11-23T02:25:04.6346187Z [----------] 4 tests from UpgraderUtils (0 ms total)
2022-11-23T02:25:04.6346349Z 
2022-11-23T02:25:04.6346500Z [----------] 9 tests from BackendTest
2022-11-23T02:25:04.6346769Z [ RUN      ] BackendTest.ToBackend
2022-11-23T02:25:04.6752999Z [       OK ] BackendTest.ToBackend (40 ms)
2022-11-23T02:25:04.6753370Z [ RUN      ] BackendTest.ToBackendNotAvailable
2022-11-23T02:25:04.6951238Z [W backend_detail.cpp:393] Warning: Backend [test_backend_unavailable] is not available. Execution of this Module is still possible by saving and loading on a device where the backend is available. (function codegen_backend_module)
2022-11-23T02:25:04.7127042Z [       OK ] BackendTest.ToBackendNotAvailable (37 ms)
2022-11-23T02:25:04.7127405Z [ RUN      ] BackendTest.TestCompiler
2022-11-23T02:25:04.7695412Z [       OK ] BackendTest.TestCompiler (56 ms)
2022-11-23T02:25:04.7695955Z [ RUN      ] BackendTest.TestCompilerWithStringTable
2022-11-23T02:25:04.8149872Z [       OK ] BackendTest.TestCompilerWithStringTable (45 ms)
2022-11-23T02:25:04.8150297Z [ RUN      ] BackendTest.TestComposite
2022-11-23T02:25:04.8999718Z [       OK ] BackendTest.TestComposite (85 ms)
2022-11-23T02:25:04.9000068Z [ RUN      ] BackendTest.TestPrimDtype
2022-11-23T02:25:04.9041311Z [       OK ] BackendTest.TestPrimDtype (4 ms)
2022-11-23T02:25:04.9041668Z [ RUN      ] BackendTest.TestCompositeWithSetStates
2022-11-23T02:25:04.9939837Z [       OK ] BackendTest.TestCompositeWithSetStates (89 ms)
2022-11-23T02:25:04.9940331Z [ RUN      ] BackendTest.TestConsistencyOfCompositeWithSetStates
2022-11-23T02:25:05.1614234Z [       OK ] BackendTest.TestConsistencyOfCompositeWithSetStates (167 ms)
2022-11-23T02:25:05.1614670Z [ RUN      ] BackendTest.TestCompilerNotSupport
2022-11-23T02:25:05.1686623Z [       OK ] BackendTest.TestCompilerNotSupport (7 ms)
2022-11-23T02:25:05.1687278Z [----------] 9 tests from BackendTest (534 ms total)
2022-11-23T02:25:05.1687561Z 
2022-11-23T02:25:05.1687750Z [----------] 6 tests from BackendTestDebugInfo
2022-11-23T02:25:05.1688122Z [ RUN      ] BackendTestDebugInfo.TestCompiler
2022-11-23T02:25:05.2235957Z [       OK ] BackendTestDebugInfo.TestCompiler (54 ms)
2022-11-23T02:25:05.2236462Z [ RUN      ] BackendTestDebugInfo.TestCompilerWithStringTable
2022-11-23T02:25:05.2786236Z [       OK ] BackendTestDebugInfo.TestCompilerWithStringTable (54 ms)
2022-11-23T02:25:05.2787007Z [ RUN      ] BackendTestDebugInfo.TestExceptionStackForCompilerWithModuleHierarchy
2022-11-23T02:25:05.3370971Z [       OK ] BackendTestDebugInfo.TestExceptionStackForCompilerWithModuleHierarchy (58 ms)
2022-11-23T02:25:05.3371852Z [ RUN      ] BackendTestDebugInfo.TestExceptionStackForCompilerWithTwoLevelModuleHierarchy
2022-11-23T02:25:05.3965851Z [       OK ] BackendTestDebugInfo.TestExceptionStackForCompilerWithTwoLevelModuleHierarchy (59 ms)
2022-11-23T02:25:05.3966685Z [ RUN      ] BackendTestDebugInfo.TestExceptionStackForCompilerWithLoweredSubModule
2022-11-23T02:25:05.4558475Z [       OK ] BackendTestDebugInfo.TestExceptionStackForCompilerWithLoweredSubModule (59 ms)
2022-11-23T02:25:05.4559162Z [ RUN      ] BackendTestDebugInfo.TestExceptionStackForCompilerWithSelectiveLoweredSubModule
2022-11-23T02:25:05.5198505Z [       OK ] BackendTestDebugInfo.TestExceptionStackForCompilerWithSelectiveLoweredSubModule (63 ms)
2022-11-23T02:25:05.5199101Z [----------] 6 tests from BackendTestDebugInfo (350 ms total)
2022-11-23T02:25:05.5199276Z 
2022-11-23T02:25:05.5199442Z [----------] 4 tests from ClassImportTest
2022-11-23T02:25:05.5199730Z [ RUN      ] ClassImportTest.Basic
2022-11-23T02:25:05.5254946Z [       OK ] ClassImportTest.Basic (5 ms)
2022-11-23T02:25:05.5255491Z [ RUN      ] ClassImportTest.ScriptObject
2022-11-23T02:25:05.5377214Z [       OK ] ClassImportTest.ScriptObject (12 ms)
2022-11-23T02:25:05.5377809Z [ RUN      ] ClassImportTest.ClassDerive
2022-11-23T02:25:05.5384763Z [       OK ] ClassImportTest.ClassDerive (0 ms)
2022-11-23T02:25:05.5385317Z [ RUN      ] ClassImportTest.CustomClass
2022-11-23T02:25:05.5398250Z [       OK ] ClassImportTest.CustomClass (1 ms)
2022-11-23T02:25:05.5398887Z [----------] 4 tests from ClassImportTest (20 ms total)
2022-11-23T02:25:05.5399091Z 
2022-11-23T02:25:05.5399338Z [----------] 1 test from ClassParserTest
2022-11-23T02:25:05.5399840Z [ RUN      ] ClassParserTest.Basic
2022-11-23T02:25:05.5403273Z [       OK ] ClassParserTest.Basic (0 ms)
2022-11-23T02:25:05.5403930Z [----------] 1 test from ClassParserTest (0 ms total)
2022-11-23T02:25:05.5404180Z 
2022-11-23T02:25:05.5404403Z [----------] 3 tests from ClassTypeTest
2022-11-23T02:25:05.5404689Z [ RUN      ] ClassTypeTest.AddRemoveAttr
2022-11-23T02:25:05.5405015Z [       OK ] ClassTypeTest.AddRemoveAttr (0 ms)
2022-11-23T02:25:05.5405341Z [ RUN      ] ClassTypeTest.AddRemoveConstant
2022-11-23T02:25:05.5405664Z [       OK ] ClassTypeTest.AddRemoveConstant (0 ms)
2022-11-23T02:25:05.5406022Z [ RUN      ] ClassTypeTest.IdenticalTypesDifferentCus
2022-11-23T02:25:05.5447575Z [       OK ] ClassTypeTest.IdenticalTypesDifferentCus (4 ms)
2022-11-23T02:25:05.5448277Z [----------] 3 tests from ClassTypeTest (4 ms total)
2022-11-23T02:25:05.5448569Z 
2022-11-23T02:25:05.5448827Z [----------] 2 tests from TestCodeTemplate
2022-11-23T02:25:05.5449124Z [ RUN      ] TestCodeTemplate.Copying
2022-11-23T02:25:05.5449429Z [       OK ] TestCodeTemplate.Copying (0 ms)
2022-11-23T02:25:05.5449724Z [ RUN      ] TestCodeTemplate.Formatting
2022-11-23T02:25:05.5450042Z [       OK ] TestCodeTemplate.Formatting (0 ms)
2022-11-23T02:25:05.5450376Z [----------] 2 tests from TestCodeTemplate (0 ms total)
2022-11-23T02:25:05.5450538Z 
2022-11-23T02:25:05.5450689Z [----------] 13 tests from ConcatOptTest
2022-11-23T02:25:05.5451040Z [ RUN      ] ConcatOptTest.SimpleCommonInputsEliminationPrefix
2022-11-23T02:25:05.5679679Z [       OK ] ConcatOptTest.SimpleCommonInputsEliminationPrefix (22 ms)
2022-11-23T02:25:05.5680165Z [ RUN      ] ConcatOptTest.SimpleCommonInputsEliminationSuffix
2022-11-23T02:25:05.5880504Z [       OK ] ConcatOptTest.SimpleCommonInputsEliminationSuffix (20 ms)
2022-11-23T02:25:05.5881056Z [ RUN      ] ConcatOptTest.CommonInputsEliminationWithDifferentOrderInputs
2022-11-23T02:25:05.6117283Z [       OK ] ConcatOptTest.CommonInputsEliminationWithDifferentOrderInputs (23 ms)
2022-11-23T02:25:05.6118030Z [ RUN      ] ConcatOptTest.MoreCommonInputsElimination
2022-11-23T02:25:05.6625072Z [       OK ] ConcatOptTest.MoreCommonInputsElimination (50 ms)
2022-11-23T02:25:05.6823022Z [ RUN      ] ConcatOptTest.ExpandConcat
2022-11-23T02:25:05.6823408Z [       OK ] ConcatOptTest.ExpandConcat (19 ms)
2022-11-23T02:25:05.6823749Z [ RUN      ] ConcatOptTest.ConcatWithoutResultShape
2022-11-23T02:25:05.7141703Z [       OK ] ConcatOptTest.ConcatWithoutResultShape (31 ms)
2022-11-23T02:25:05.7142099Z [ RUN      ] ConcatOptTest.ConcatWithoutInputShape
2022-11-23T02:25:05.7318399Z [       OK ] ConcatOptTest.ConcatWithoutInputShape (17 ms)
2022-11-23T02:25:05.7318742Z [ RUN      ] ConcatOptTest.UseVariadicCat
2022-11-23T02:25:05.7657448Z [       OK ] ConcatOptTest.UseVariadicCat (33 ms)
2022-11-23T02:25:05.7657848Z [ RUN      ] ConcatOptTest.UseVariadicCatWithMultipleListUses
2022-11-23T02:25:05.7955573Z [       OK ] ConcatOptTest.UseVariadicCatWithMultipleListUses (29 ms)
2022-11-23T02:25:05.7956047Z [ RUN      ] ConcatOptTest.UseVariadicCatWithListMutationAfterCat
2022-11-23T02:25:05.8137616Z [       OK ] ConcatOptTest.UseVariadicCatWithListMutationAfterCat (18 ms)
2022-11-23T02:25:05.8138099Z [ RUN      ] ConcatOptTest.UseVariadicCatWithListMutationBeforeCat
2022-11-23T02:25:05.8406123Z [       OK ] ConcatOptTest.UseVariadicCatWithListMutationBeforeCat (26 ms)
2022-11-23T02:25:05.8406628Z [ RUN      ] ConcatOptTest.UseVariadicCatWithMultipleListMutations
2022-11-23T02:25:05.8938363Z [       OK ] ConcatOptTest.UseVariadicCatWithMultipleListMutations (53 ms)
2022-11-23T02:25:05.8939034Z [ RUN      ] ConcatOptTest.RemoveListMutationUseVariadicCatAndCommonInputsElimination
2022-11-23T02:25:05.9404361Z [       OK ] ConcatOptTest.RemoveListMutationUseVariadicCatAndCommonInputsElimination (46 ms)
2022-11-23T02:25:05.9404946Z [----------] 13 tests from ConcatOptTest (395 ms total)
2022-11-23T02:25:05.9405112Z 
2022-11-23T02:25:05.9405311Z [----------] 1 test from OptimizeConcatTest
2022-11-23T02:25:05.9405723Z [ RUN      ] OptimizeConcatTest.UseVariadicCatReplaceMultiple
2022-11-23T02:25:05.9622193Z [       OK ] OptimizeConcatTest.UseVariadicCatReplaceMultiple (21 ms)
2022-11-23T02:25:05.9622885Z [----------] 1 test from OptimizeConcatTest (21 ms total)
2022-11-23T02:25:05.9623061Z 
2022-11-23T02:25:05.9623207Z [----------] 3 tests from ConcatOpt
2022-11-23T02:25:05.9623517Z [ RUN      ] ConcatOpt.CombineConcatsSimpleCase
2022-11-23T02:25:05.9639555Z [       OK ] ConcatOpt.CombineConcatsSimpleCase (1 ms)
2022-11-23T02:25:05.9640125Z [ RUN      ] ConcatOpt.CombineConcatsLongChain
2022-11-23T02:25:05.9658048Z [       OK ] ConcatOpt.CombineConcatsLongChain (1 ms)
2022-11-23T02:25:05.9658719Z [ RUN      ] ConcatOpt.CombineConcatsMutation
2022-11-23T02:25:05.9666856Z [       OK ] ConcatOpt.CombineConcatsMutation (0 ms)
2022-11-23T02:25:05.9667484Z [----------] 3 tests from ConcatOpt (4 ms total)
2022-11-23T02:25:05.9667696Z 
2022-11-23T02:25:05.9667871Z [----------] 4 tests from ConstantPoolingTest
2022-11-23T02:25:05.9668151Z [ RUN      ] ConstantPoolingTest.Int
2022-11-23T02:25:05.9670858Z [       OK ] ConstantPoolingTest.Int (0 ms)
2022-11-23T02:25:05.9671484Z [ RUN      ] ConstantPoolingTest.PoolingAcrossBlocks
2022-11-23T02:25:05.9679301Z [       OK ] ConstantPoolingTest.PoolingAcrossBlocks (0 ms)
2022-11-23T02:25:05.9679915Z [ RUN      ] ConstantPoolingTest.PoolingDifferentDevices
2022-11-23T02:25:05.9698306Z [       OK ] ConstantPoolingTest.PoolingDifferentDevices (1 ms)
2022-11-23T02:25:05.9698779Z [ RUN      ] ConstantPoolingTest.DictConstantPooling
2022-11-23T02:25:05.9706355Z [       OK ] ConstantPoolingTest.DictConstantPooling (0 ms)
2022-11-23T02:25:05.9707076Z [----------] 4 tests from ConstantPoolingTest (3 ms total)
2022-11-23T02:25:05.9707382Z 
2022-11-23T02:25:05.9707552Z [----------] 1 test from CleanupPassTest
2022-11-23T02:25:05.9707931Z [ RUN      ] CleanupPassTest.Basic
2022-11-23T02:25:05.9721336Z [       OK ] CleanupPassTest.Basic (1 ms)
2022-11-23T02:25:05.9721933Z [----------] 1 test from CleanupPassTest (1 ms total)
2022-11-23T02:25:05.9722212Z 
2022-11-23T02:25:05.9722440Z [----------] 1 test from CreateAutodiffSubgraphsTest
2022-11-23T02:25:05.9722780Z [ RUN      ] CreateAutodiffSubgraphsTest.Basic
2022-11-23T02:25:05.9754472Z [       OK ] CreateAutodiffSubgraphsTest.Basic (3 ms)
2022-11-23T02:25:05.9755196Z [----------] 1 test from CreateAutodiffSubgraphsTest (3 ms total)
2022-11-23T02:25:05.9755401Z 
2022-11-23T02:25:05.9755565Z [----------] 4 tests from CustomClassTest
2022-11-23T02:25:05.9755869Z [ RUN      ] CustomClassTest.TorchbindIValueAPI
2022-11-23T02:25:05.9817030Z [       OK ] CustomClassTest.TorchbindIValueAPI (6 ms)
2022-11-23T02:25:05.9817574Z [ RUN      ] CustomClassTest.ScalarTypeClass
2022-11-23T02:25:05.9829692Z [       OK ] CustomClassTest.ScalarTypeClass (1 ms)
2022-11-23T02:25:05.9830269Z [ RUN      ] CustomClassTest.TestDocString
2022-11-23T02:25:05.9830785Z [       OK ] CustomClassTest.TestDocString (0 ms)
2022-11-23T02:25:05.9831272Z [ RUN      ] CustomClassTest.Serialization
2022-11-23T02:25:06.0007410Z [       OK ] CustomClassTest.Serialization (17 ms)
2022-11-23T02:25:06.0008102Z [----------] 4 tests from CustomClassTest (25 ms total)
2022-11-23T02:25:06.0008389Z 
2022-11-23T02:25:06.0008664Z [----------] 5 tests from CustomOperatorTest
2022-11-23T02:25:06.0009155Z [ RUN      ] CustomOperatorTest.InferredSchema
2022-11-23T02:25:06.0020981Z [       OK ] CustomOperatorTest.InferredSchema (1 ms)
2022-11-23T02:25:06.0021668Z [ RUN      ] CustomOperatorTest.ExplicitSchema
2022-11-23T02:25:06.0032298Z [       OK ] CustomOperatorTest.ExplicitSchema (1 ms)
2022-11-23T02:25:06.0032683Z [ RUN      ] CustomOperatorTest.ListParameters
2022-11-23T02:25:06.0051120Z [       OK ] CustomOperatorTest.ListParameters (1 ms)
2022-11-23T02:25:06.0051794Z [ RUN      ] CustomOperatorTest.ListParameters2
2022-11-23T02:25:06.0061849Z [       OK ] CustomOperatorTest.ListParameters2 (1 ms)
2022-11-23T02:25:06.0062476Z [ RUN      ] CustomOperatorTest.Aliasing
2022-11-23T02:25:06.0074427Z [       OK ] CustomOperatorTest.Aliasing (1 ms)
2022-11-23T02:25:06.0074904Z [----------] 5 tests from CustomOperatorTest (6 ms total)
2022-11-23T02:25:06.0075093Z 
2022-11-23T02:25:06.0075263Z [----------] 2 tests from TestCustomOperator
2022-11-23T02:25:06.0075628Z [ RUN      ] TestCustomOperator.OperatorGeneratorUndeclared
2022-11-23T02:25:06.0076056Z [       OK ] TestCustomOperator.OperatorGeneratorUndeclared (0 ms)
2022-11-23T02:25:06.0076460Z [ RUN      ] TestCustomOperator.OperatorGeneratorBasic
2022-11-23T02:25:06.0081022Z [       OK ] TestCustomOperator.OperatorGeneratorBasic (0 ms)
2022-11-23T02:25:06.0081582Z [----------] 2 tests from TestCustomOperator (0 ms total)
2022-11-23T02:25:06.0081754Z 
2022-11-23T02:25:06.0081928Z [----------] 1 test from EliminateDeadCodeTest
2022-11-23T02:25:06.0082240Z [ RUN      ] EliminateDeadCodeTest.Basic
2022-11-23T02:25:06.0096986Z [       OK ] EliminateDeadCodeTest.Basic (1 ms)
2022-11-23T02:25:06.0097643Z [----------] 1 test from EliminateDeadCodeTest (1 ms total)
2022-11-23T02:25:06.0097911Z 
2022-11-23T02:25:06.0098059Z [----------] 2 tests from FuserTest
2022-11-23T02:25:06.0098632Z [ RUN      ] FuserTest.FusionAliasing
2022-11-23T02:25:06.0178185Z [       OK ] FuserTest.FusionAliasing (8 ms)
2022-11-23T02:25:06.0178561Z [ RUN      ] FuserTest.KernelCaching
2022-11-23T02:25:06.0207410Z [       OK ] FuserTest.KernelCaching (2 ms)
2022-11-23T02:25:06.0207961Z [----------] 2 tests from FuserTest (11 ms total)
2022-11-23T02:25:06.0208127Z 
2022-11-23T02:25:06.0208296Z [----------] 1 test from GraphExecutorTest
2022-11-23T02:25:06.0208617Z [ RUN      ] GraphExecutorTest.runAsync_executor
2022-11-23T02:25:06.0371186Z [       OK ] GraphExecutorTest.runAsync_executor (16 ms)
2022-11-23T02:25:06.0371620Z [----------] 1 test from GraphExecutorTest (16 ms total)
2022-11-23T02:25:06.0371849Z 
2022-11-23T02:25:06.0372105Z [----------] 5 tests from GraphIteratorTest
2022-11-23T02:25:06.0372547Z [ RUN      ] GraphIteratorTest.ConstantReturnGraph
2022-11-23T02:25:06.0372952Z [       OK ] GraphIteratorTest.ConstantReturnGraph (0 ms)
2022-11-23T02:25:06.0373317Z [ RUN      ] GraphIteratorTest.GraphWithParameters
2022-11-23T02:25:06.0375577Z [       OK ] GraphIteratorTest.GraphWithParameters (0 ms)
2022-11-23T02:25:06.0375928Z [ RUN      ] GraphIteratorTest.GraphWithIf
2022-11-23T02:25:06.0381091Z [       OK ] GraphIteratorTest.GraphWithIf (0 ms)
2022-11-23T02:25:06.0381448Z [ RUN      ] GraphIteratorTest.GraphWithNestedIf
2022-11-23T02:25:06.0392627Z [       OK ] GraphIteratorTest.GraphWithNestedIf (1 ms)
2022-11-23T02:25:06.0393079Z [ RUN      ] GraphIteratorTest.GraphWithLoop
2022-11-23T02:25:06.0399885Z [       OK ] GraphIteratorTest.GraphWithLoop (0 ms)
2022-11-23T02:25:06.0400373Z [----------] 5 tests from GraphIteratorTest (3 ms total)
2022-11-23T02:25:06.0400546Z 
2022-11-23T02:25:06.0400742Z [----------] 1 test from CSDebugInfoSerializaitionTest
2022-11-23T02:25:06.0401115Z [ RUN      ] CSDebugInfoSerializaitionTest.TwoSubmodules
2022-11-23T02:25:06.0440133Z [       OK ] CSDebugInfoSerializaitionTest.TwoSubmodules (3 ms)
2022-11-23T02:25:06.0440646Z [----------] 1 test from CSDebugInfoSerializaitionTest (3 ms total)
2022-11-23T02:25:06.0440842Z 
2022-11-23T02:25:06.0440994Z [----------] 1 test from InlinerTest
2022-11-23T02:25:06.0441241Z [ RUN      ] InlinerTest.Basic
2022-11-23T02:25:06.0465057Z [       OK ] InlinerTest.Basic (2 ms)
2022-11-23T02:25:06.0465599Z [----------] 1 test from InlinerTest (2 ms total)
2022-11-23T02:25:06.0465878Z 
2022-11-23T02:25:06.0466099Z [----------] 1 test from InterfaceTest
2022-11-23T02:25:06.0466427Z [ RUN      ] InterfaceTest.ModuleInterfaceSerialization
2022-11-23T02:25:06.0586869Z [       OK ] InterfaceTest.ModuleInterfaceSerialization (12 ms)
2022-11-23T02:25:06.0587570Z [----------] 1 test from InterfaceTest (12 ms total)
2022-11-23T02:25:06.0587775Z 
2022-11-23T02:25:06.0587932Z [----------] 4 tests from TypeCheckTest
2022-11-23T02:25:06.0588214Z [ RUN      ] TypeCheckTest.MatchingType
2022-11-23T02:25:06.0599013Z [       OK ] TypeCheckTest.MatchingType (1 ms)
2022-11-23T02:25:06.0599332Z [ RUN      ] TypeCheckTest.SizeMismatch
2022-11-23T02:25:06.0607193Z [       OK ] TypeCheckTest.SizeMismatch (0 ms)
2022-11-23T02:25:06.0607531Z [ RUN      ] TypeCheckTest.GradientMismatch
2022-11-23T02:25:06.0615631Z [       OK ] TypeCheckTest.GradientMismatch (0 ms)
2022-11-23T02:25:06.0616020Z [ RUN      ] TypeCheckTest.ScalarTypeMismatch
2022-11-23T02:25:06.0625190Z [       OK ] TypeCheckTest.ScalarTypeMismatch (0 ms)
2022-11-23T02:25:06.0625736Z [----------] 4 tests from TypeCheckTest (3 ms total)
2022-11-23T02:25:06.0625896Z 
2022-11-23T02:25:06.0626066Z [----------] 3 tests from InterpreterTest
2022-11-23T02:25:06.0626391Z [ RUN      ] InterpreterTest.IgnorableArgsInSchema
2022-11-23T02:25:06.0659550Z [       OK ] InterpreterTest.IgnorableArgsInSchema (3 ms)
2022-11-23T02:25:06.0659957Z [ RUN      ] InterpreterTest.IgnorableArgsInSchemaWithOut
2022-11-23T02:25:06.0664517Z [       OK ] InterpreterTest.IgnorableArgsInSchemaWithOut (0 ms)
2022-11-23T02:25:06.0664976Z [ RUN      ] InterpreterTest.runAsyncBasicTest
2022-11-23T02:25:06.0786032Z [       OK ] InterpreterTest.runAsyncBasicTest (12 ms)
2022-11-23T02:25:06.0786438Z [----------] 3 tests from InterpreterTest (16 ms total)
2022-11-23T02:25:06.0786603Z 
2022-11-23T02:25:06.0786814Z [----------] 1 test from EnableRethrowCaughtExceptionTest
2022-11-23T02:25:06.0787380Z [ RUN      ] EnableRethrowCaughtExceptionTest.EnableRethrowCaughtExceptionTestRethrowsCaughtException
2022-11-23T02:25:06.1262002Z [       OK ] EnableRethrowCaughtExceptionTest.EnableRethrowCaughtExceptionTestRethrowsCaughtException (47 ms)
2022-11-23T02:25:06.1262785Z [----------] 1 test from EnableRethrowCaughtExceptionTest (47 ms total)
2022-11-23T02:25:06.1263068Z 
2022-11-23T02:25:06.1263206Z [----------] 4 tests from IRTest
2022-11-23T02:25:06.1263462Z [ RUN      ] IRTest.Attributes
2022-11-23T02:25:06.1263786Z [       OK ] IRTest.Attributes (0 ms)
2022-11-23T02:25:06.1264038Z [ RUN      ] IRTest.Blocks
2022-11-23T02:25:06.1283021Z [       OK ] IRTest.Blocks (2 ms)
2022-11-23T02:25:06.1283284Z [ RUN      ] IRTest.CommonAncestor
2022-11-23T02:25:06.1291412Z [       OK ] IRTest.CommonAncestor (0 ms)
2022-11-23T02:25:06.1291937Z [ RUN      ] IRTest.OperatorMap
2022-11-23T02:25:06.1298273Z [       OK ] IRTest.OperatorMap (0 ms)
2022-11-23T02:25:06.1298999Z [----------] 4 tests from IRTest (3 ms total)
2022-11-23T02:25:06.1299259Z 
2022-11-23T02:25:06.1299536Z [----------] 21 tests from IRParserTest
2022-11-23T02:25:06.1299963Z [ RUN      ] IRParserTest.Basic
2022-11-23T02:25:06.1302687Z [       OK ] IRParserTest.Basic (0 ms)
2022-11-23T02:25:06.1303328Z [ RUN      ] IRParserTest.NestedBlock
2022-11-23T02:25:06.1307520Z [       OK ] IRParserTest.NestedBlock (0 ms)
2022-11-23T02:25:06.1307847Z [ RUN      ] IRParserTest.If
2022-11-23T02:25:06.1315122Z [       OK ] IRParserTest.If (0 ms)
2022-11-23T02:25:06.1315452Z [ RUN      ] IRParserTest.If2
2022-11-23T02:25:06.1323738Z [       OK ] IRParserTest.If2 (0 ms)
2022-11-23T02:25:06.1324116Z [ RUN      ] IRParserTest.InferredTypeIsTensor
2022-11-23T02:25:06.1324721Z [       OK ] IRParserTest.InferredTypeIsTensor (0 ms)
2022-11-23T02:25:06.1325041Z [ RUN      ] IRParserTest.ValueReuse
2022-11-23T02:25:06.1327307Z [       OK ] IRParserTest.ValueReuse (0 ms)
2022-11-23T02:25:06.1327590Z [ RUN      ] IRParserTest.Attributes
2022-11-23T02:25:06.1333950Z [       OK ] IRParserTest.Attributes (0 ms)
2022-11-23T02:25:06.1334252Z [ RUN      ] IRParserTest.OptionalTypes
2022-11-23T02:25:06.1336413Z [       OK ] IRParserTest.OptionalTypes (0 ms)
2022-11-23T02:25:06.1336719Z [ RUN      ] IRParserTest.StarTensor
2022-11-23T02:25:06.1339350Z [       OK ] IRParserTest.StarTensor (0 ms)
2022-11-23T02:25:06.1339654Z [ RUN      ] IRParserTest.UnshapedTensor
2022-11-23T02:25:06.1341720Z [       OK ] IRParserTest.UnshapedTensor (0 ms)
2022-11-23T02:25:06.1342028Z [ RUN      ] IRParserTest.ShapedTensor
2022-11-23T02:25:06.1344472Z [       OK ] IRParserTest.ShapedTensor (0 ms)
2022-11-23T02:25:06.1344775Z [ RUN      ] IRParserTest.NestedContrainer
2022-11-23T02:25:06.1348922Z [       OK ] IRParserTest.NestedContrainer (0 ms)
2022-11-23T02:25:06.1349268Z [ RUN      ] IRParserTest.MalformedShapeAnnotation
2022-11-23T02:25:06.1362376Z [       OK ] IRParserTest.MalformedShapeAnnotation (1 ms)
2022-11-23T02:25:06.1362900Z [ RUN      ] IRParserTest.FileCheck
2022-11-23T02:25:06.1364301Z [       OK ] IRParserTest.FileCheck (0 ms)
2022-11-23T02:25:06.1364583Z [ RUN      ] IRParserTest.Strides
2022-11-23T02:25:06.1367229Z [       OK ] IRParserTest.Strides (0 ms)
2022-11-23T02:25:06.1367539Z [ RUN      ] IRParserTest.MalformedStrides
2022-11-23T02:25:06.1369556Z [       OK ] IRParserTest.MalformedStrides (0 ms)
2022-11-23T02:25:06.1369872Z [ RUN      ] IRParserTest.TensorShapes
2022-11-23T02:25:06.1372284Z [       OK ] IRParserTest.TensorShapes (0 ms)
2022-11-23T02:25:06.1372684Z [ RUN      ] IRParserTest.DeviceAndRequiresGradTensors
2022-11-23T02:25:06.1379278Z [       OK ] IRParserTest.DeviceAndRequiresGradTensors (0 ms)
2022-11-23T02:25:06.1379630Z [ RUN      ] IRParserTest.ListConstant
2022-11-23T02:25:06.1381430Z [       OK ] IRParserTest.ListConstant (0 ms)
2022-11-23T02:25:06.1381813Z [ RUN      ] IRParserTest.PartialStarTensor
2022-11-23T02:25:06.1383443Z [       OK ] IRParserTest.PartialStarTensor (0 ms)
2022-11-23T02:25:06.1383781Z [ RUN      ] IRParserTest.ComplexTensorAttributes
2022-11-23T02:25:06.1386846Z [       OK ] IRParserTest.ComplexTensorAttributes (0 ms)
2022-11-23T02:25:06.1387527Z [----------] 21 tests from IRParserTest (8 ms total)
2022-11-23T02:25:06.1387787Z 
2022-11-23T02:25:06.1387923Z [----------] 2 tests from JitTypeTest
2022-11-23T02:25:06.1388200Z [ RUN      ] JitTypeTest.IsComplete
2022-11-23T02:25:06.1388614Z [       OK ] JitTypeTest.IsComplete (0 ms)
2022-11-23T02:25:06.1388907Z [ RUN      ] JitTypeTest.UnifyTypes
2022-11-23T02:25:06.1389401Z [       OK ] JitTypeTest.UnifyTypes (0 ms)
2022-11-23T02:25:06.1389991Z [----------] 2 tests from JitTypeTest (0 ms total)
2022-11-23T02:25:06.1390212Z 
2022-11-23T02:25:06.1390392Z [----------] 42 tests from LiteInterpreterTest
2022-11-23T02:25:06.1390717Z [ RUN      ] LiteInterpreterTest.UpsampleNearest2d
2022-11-23T02:25:06.1492161Z [       OK ] LiteInterpreterTest.UpsampleNearest2d (10 ms)
2022-11-23T02:25:06.1492561Z [ RUN      ] LiteInterpreterTest.CheckAttrAccess
2022-11-23T02:25:06.1501947Z [       OK ] LiteInterpreterTest.CheckAttrAccess (1 ms)
2022-11-23T02:25:06.1502297Z [ RUN      ] LiteInterpreterTest.MethodInvocation
2022-11-23T02:25:06.1698397Z [       OK ] LiteInterpreterTest.MethodInvocation (19 ms)
2022-11-23T02:25:06.1698824Z [ RUN      ] LiteInterpreterTest.Conv
2022-11-23T02:25:06.1794751Z [       OK ] LiteInterpreterTest.Conv (9 ms)
2022-11-23T02:25:06.1795064Z [ RUN      ] LiteInterpreterTest.Inline
2022-11-23T02:25:06.1857520Z [       OK ] LiteInterpreterTest.Inline (6 ms)
2022-11-23T02:25:06.1857914Z [ RUN      ] LiteInterpreterTest.Tuple
2022-11-23T02:25:06.1905057Z [       OK ] LiteInterpreterTest.Tuple (4 ms)
2022-11-23T02:25:06.1905469Z [ RUN      ] LiteInterpreterTest.AtenFormat
2022-11-23T02:25:06.2063650Z [       OK ] LiteInterpreterTest.AtenFormat (15 ms)
2022-11-23T02:25:06.2064008Z [ RUN      ] LiteInterpreterTest.PrimDevice
2022-11-23T02:25:06.2097836Z [       OK ] LiteInterpreterTest.PrimDevice (3 ms)
2022-11-23T02:25:06.2098352Z [ RUN      ] LiteInterpreterTest.Dict
2022-11-23T02:25:06.2148930Z [       OK ] LiteInterpreterTest.Dict (5 ms)
2022-11-23T02:25:06.2149417Z [ RUN      ] LiteInterpreterTest.List
2022-11-23T02:25:06.2217191Z [       OK ] LiteInterpreterTest.List (6 ms)
2022-11-23T02:25:06.2217726Z [ RUN      ] LiteInterpreterTest.PrimOverload
2022-11-23T02:25:06.2218233Z [       OK ] LiteInterpreterTest.PrimOverload (0 ms)
2022-11-23T02:25:06.2218801Z [ RUN      ] LiteInterpreterTest.Prim
2022-11-23T02:25:06.2249952Z [       OK ] LiteInterpreterTest.Prim (3 ms)
2022-11-23T02:25:06.2250501Z [ RUN      ] LiteInterpreterTest.PrimScalar
2022-11-23T02:25:06.2285345Z [       OK ] LiteInterpreterTest.PrimScalar (3 ms)
2022-11-23T02:25:06.2286144Z [ RUN      ] LiteInterpreterTest.LoadOrigJit
2022-11-23T02:25:06.2438416Z [       OK ] LiteInterpreterTest.LoadOrigJit (15 ms)
2022-11-23T02:25:06.2438989Z [ RUN      ] LiteInterpreterTest.WrongMethodName
2022-11-23T02:25:06.2500771Z [       OK ] LiteInterpreterTest.WrongMethodName (6 ms)
2022-11-23T02:25:06.2501333Z [ RUN      ] LiteInterpreterTest.SetState
2022-11-23T02:25:06.2721804Z [       OK ] LiteInterpreterTest.SetState (21 ms)
2022-11-23T02:25:06.2722395Z [ RUN      ] LiteInterpreterTest.BuiltinClass
2022-11-23T02:25:06.2782422Z [       OK ] LiteInterpreterTest.BuiltinClass (6 ms)
2022-11-23T02:25:06.2783014Z [ RUN      ] LiteInterpreterTest.BuiltinFunction
2022-11-23T02:25:06.2808351Z [       OK ] LiteInterpreterTest.BuiltinFunction (2 ms)
2022-11-23T02:25:06.2808771Z [ RUN      ] LiteInterpreterTest.GetRuntimeByteCodeVersion
2022-11-23T02:25:06.2809206Z [       OK ] LiteInterpreterTest.GetRuntimeByteCodeVersion (0 ms)
2022-11-23T02:25:06.2809636Z [ RUN      ] LiteInterpreterTest.GetRuntimeOperatorsVersion
2022-11-23T02:25:06.2810048Z [       OK ] LiteInterpreterTest.GetRuntimeOperatorsVersion (0 ms)
2022-11-23T02:25:06.2810440Z [ RUN      ] LiteInterpreterTest.GetByteCodeVersion
2022-11-23T02:25:06.2813027Z [       OK ] LiteInterpreterTest.GetByteCodeVersion (0 ms)
2022-11-23T02:25:06.2813396Z [ RUN      ] LiteInterpreterTest.GetContainTypes
2022-11-23T02:25:06.2828475Z [       OK ] LiteInterpreterTest.GetContainTypes (1 ms)
2022-11-23T02:25:06.2828890Z [ RUN      ] LiteInterpreterTest.BackPortByteCodeModelAllVersions
2022-11-23T02:25:06.6854248Z [       OK ] LiteInterpreterTest.BackPortByteCodeModelAllVersions (402 ms)
2022-11-23T02:25:06.6854742Z [ RUN      ] LiteInterpreterTest.GetRuntimeOpsAndInfo
2022-11-23T02:25:06.7137209Z [       OK ] LiteInterpreterTest.GetRuntimeOpsAndInfo (28 ms)
2022-11-23T02:25:06.7137646Z [ RUN      ] LiteInterpreterTest.isCompatibleSuccess
2022-11-23T02:25:06.7435034Z [       OK ] LiteInterpreterTest.isCompatibleSuccess (29 ms)
2022-11-23T02:25:06.7435491Z [ RUN      ] LiteInterpreterTest.isCompatibleFail
2022-11-23T02:25:06.8103727Z [       OK ] LiteInterpreterTest.isCompatibleFail (66 ms)
2022-11-23T02:25:06.8104081Z [ RUN      ] LiteInterpreterTest.Eval
2022-11-23T02:25:06.8168260Z [       OK ] LiteInterpreterTest.Eval (6 ms)
2022-11-23T02:25:06.8168615Z [ RUN      ] LiteInterpreterTest.FindWrongMethodName
2022-11-23T02:25:06.8198088Z [       OK ] LiteInterpreterTest.FindWrongMethodName (2 ms)
2022-11-23T02:25:06.8198690Z [ RUN      ] LiteInterpreterTest.FindAndRunMethod
2022-11-23T02:25:06.8252891Z [       OK ] LiteInterpreterTest.FindAndRunMethod (5 ms)
2022-11-23T02:25:06.8253489Z [ RUN      ] LiteInterpreterTest.RunMethodVariadic
2022-11-23T02:25:06.8304529Z [       OK ] LiteInterpreterTest.RunMethodVariadic (5 ms)
2022-11-23T02:25:06.8305100Z [ RUN      ] LiteInterpreterTest.DuplicateSetState
2022-11-23T02:25:06.8382444Z [       OK ] LiteInterpreterTest.DuplicateSetState (7 ms)
2022-11-23T02:25:06.8383037Z [ RUN      ] LiteInterpreterTest.ExtraFiles
2022-11-23T02:25:06.8415986Z [       OK ] LiteInterpreterTest.ExtraFiles (3 ms)
2022-11-23T02:25:06.8416647Z [ RUN      ] LiteInterpreterTest.OpNameExportFetchRootOperators
2022-11-23T02:25:06.8474122Z [       OK ] LiteInterpreterTest.OpNameExportFetchRootOperators (5 ms)
2022-11-23T02:25:06.8474724Z [ RUN      ] LiteInterpreterTest.DefaultArgsConv
2022-11-23T02:25:06.8549505Z [       OK ] LiteInterpreterTest.DefaultArgsConv (7 ms)
2022-11-23T02:25:06.8550074Z [ RUN      ] LiteInterpreterTest.DefaultArgsPinv
2022-11-23T02:25:06.8761735Z [       OK ] LiteInterpreterTest.DefaultArgsPinv (21 ms)
2022-11-23T02:25:06.8762589Z [ RUN      ] LiteInterpreterTest.DefaultArgsTensorinvSpecifyDefault
2022-11-23T02:25:06.8825626Z [       OK ] LiteInterpreterTest.DefaultArgsTensorinvSpecifyDefault (6 ms)
2022-11-23T02:25:06.8826261Z [ RUN      ] LiteInterpreterTest.DefaultArgsPinvWithOutArg
2022-11-23T02:25:06.8937242Z [       OK ] LiteInterpreterTest.DefaultArgsPinvWithOutArg (11 ms)
2022-11-23T02:25:06.8937918Z [ RUN      ] LiteInterpreterTest.DefaultArgsWithOutArg
2022-11-23T02:25:06.8988925Z [       OK ] LiteInterpreterTest.DefaultArgsWithOutArg (5 ms)
2022-11-23T02:25:06.8989638Z [ RUN      ] LiteInterpreterTest.TestExceptionStackWithTwoLevelModuleHierarchy
2022-11-23T02:25:06.9263307Z [       OK ] LiteInterpreterTest.TestExceptionStackWithTwoLevelModuleHierarchy (27 ms)
2022-11-23T02:25:06.9263994Z [ RUN      ] LiteInterpreterTest.OperatorCacheDifferentiatesDefaultArgs
2022-11-23T02:25:06.9523638Z [       OK ] LiteInterpreterTest.OperatorCacheDifferentiatesDefaultArgs (25 ms)
2022-11-23T02:25:06.9524240Z [ RUN      ] LiteInterpreterTest.OperatorSize1
2022-11-23T02:25:06.9553115Z [       OK ] LiteInterpreterTest.OperatorSize1 (3 ms)
2022-11-23T02:25:06.9553722Z [ RUN      ] LiteInterpreterTest.OperatorTest2
2022-11-23T02:25:06.9663932Z [       OK ] LiteInterpreterTest.OperatorTest2 (11 ms)
2022-11-23T02:25:06.9664613Z [----------] 42 tests from LiteInterpreterTest (827 ms total)
2022-11-23T02:25:06.9664794Z 
2022-11-23T02:25:06.9664931Z [----------] 3 tests from RunTimeTest
2022-11-23T02:25:06.9665274Z [ RUN      ] RunTimeTest.ParseBytecode
2022-11-23T02:25:06.9665796Z [       OK ] RunTimeTest.ParseBytecode (0 ms)
2022-11-23T02:25:06.9666170Z [ RUN      ] RunTimeTest.ParseOperator
2022-11-23T02:25:06.9668241Z [       OK ] RunTimeTest.ParseOperator (0 ms)
2022-11-23T02:25:06.9668539Z [ RUN      ] RunTimeTest.RuntimeCall
2022-11-23T02:25:06.9671657Z [       OK ] RunTimeTest.RuntimeCall (0 ms)
2022-11-23T02:25:06.9672027Z [----------] 3 tests from RunTimeTest (0 ms total)
2022-11-23T02:25:06.9672184Z 
2022-11-23T02:25:06.9672378Z [----------] 11 tests from LiteInterpreterUpgraderTest
2022-11-23T02:25:06.9672736Z [ RUN      ] LiteInterpreterUpgraderTest.DivTensorV2
2022-11-23T02:25:06.9681928Z [       OK ] LiteInterpreterUpgraderTest.DivTensorV2 (0 ms)
2022-11-23T02:25:06.9682377Z [ RUN      ] LiteInterpreterUpgraderTest.DivTensorOutV2
2022-11-23T02:25:06.9690097Z [       OK ] LiteInterpreterUpgraderTest.DivTensorOutV2 (0 ms)
2022-11-23T02:25:06.9690579Z [ RUN      ] LiteInterpreterUpgraderTest.DivTensorInplaceV2
2022-11-23T02:25:06.9698130Z [       OK ] LiteInterpreterUpgraderTest.DivTensorInplaceV2 (0 ms)
2022-11-23T02:25:06.9698682Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarFloatV2
2022-11-23T02:25:06.9705922Z [       OK ] LiteInterpreterUpgraderTest.DivScalarFloatV2 (0 ms)
2022-11-23T02:25:06.9706376Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarReciprocalFloatV2
2022-11-23T02:25:06.9713469Z expect output:  0.5000
2022-11-23T02:25:06.9713764Z [ CPUFloatType{1} ]actual output:  0.5000
2022-11-23T02:25:06.9714847Z [ CPUFloatType{1} ][       OK ] LiteInterpreterUpgraderTest.DivScalarReciprocalFloatV2 (0 ms)
2022-11-23T02:25:06.9715384Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarReciprocalIntV2
2022-11-23T02:25:06.9722336Z [       OK ] LiteInterpreterUpgraderTest.DivScalarReciprocalIntV2 (0 ms)
2022-11-23T02:25:06.9723032Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarScalarV2
2022-11-23T02:25:06.9727854Z [       OK ] LiteInterpreterUpgraderTest.DivScalarScalarV2 (0 ms)
2022-11-23T02:25:06.9728268Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarIntV2
2022-11-23T02:25:06.9734564Z [       OK ] LiteInterpreterUpgraderTest.DivScalarIntV2 (0 ms)
2022-11-23T02:25:06.9735125Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarInplaceFloatV2
2022-11-23T02:25:06.9742282Z [       OK ] LiteInterpreterUpgraderTest.DivScalarInplaceFloatV2 (0 ms)
2022-11-23T02:25:06.9742748Z [ RUN      ] LiteInterpreterUpgraderTest.DivScalarInplaceIntV2
2022-11-23T02:25:06.9748994Z [       OK ] LiteInterpreterUpgraderTest.DivScalarInplaceIntV2 (0 ms)
2022-11-23T02:25:06.9749401Z [ RUN      ] LiteInterpreterUpgraderTest.Upgrader
2022-11-23T02:25:06.9750835Z [       OK ] LiteInterpreterUpgraderTest.Upgrader (0 ms)
2022-11-23T02:25:06.9751285Z [----------] 11 tests from LiteInterpreterUpgraderTest (7 ms total)
2022-11-23T02:25:06.9751484Z 
2022-11-23T02:25:06.9751671Z [----------] 29 tests from LiteInterpreterDirectTest
2022-11-23T02:25:06.9752036Z [ RUN      ] LiteInterpreterDirectTest.UpsampleNearest2d
2022-11-23T02:25:06.9831896Z [       OK ] LiteInterpreterDirectTest.UpsampleNearest2d (7 ms)
2022-11-23T02:25:06.9832426Z [ RUN      ] LiteInterpreterDirectTest.CheckAttrAccess
2022-11-23T02:25:06.9832831Z [       OK ] LiteInterpreterDirectTest.CheckAttrAccess (0 ms)
2022-11-23T02:25:06.9833220Z [ RUN      ] LiteInterpreterDirectTest.MethodInvocation
2022-11-23T02:25:06.9876342Z hello 
2022-11-23T02:25:06.9880046Z hello 3
2022-11-23T02:25:06.9935326Z hello 
2022-11-23T02:25:06.9938184Z hello 3
2022-11-23T02:25:06.9973208Z hello 
2022-11-23T02:25:06.9976148Z hello 3
2022-11-23T02:25:06.9977993Z [       OK ] LiteInterpreterDirectTest.MethodInvocation (14 ms)
2022-11-23T02:25:06.9978348Z [ RUN      ] LiteInterpreterDirectTest.Conv
2022-11-23T02:25:07.0103860Z [       OK ] LiteInterpreterDirectTest.Conv (12 ms)
2022-11-23T02:25:07.0104211Z [ RUN      ] LiteInterpreterDirectTest.Inline
2022-11-23T02:25:07.0147979Z [       OK ] LiteInterpreterDirectTest.Inline (4 ms)
2022-11-23T02:25:07.0148357Z [ RUN      ] LiteInterpreterDirectTest.Tuple
2022-11-23T02:25:07.0179288Z [       OK ] LiteInterpreterDirectTest.Tuple (3 ms)
2022-11-23T02:25:07.0179642Z [ RUN      ] LiteInterpreterDirectTest.Dict
2022-11-23T02:25:07.0209142Z [       OK ] LiteInterpreterDirectTest.Dict (2 ms)
2022-11-23T02:25:07.0209503Z [ RUN      ] LiteInterpreterDirectTest.Prim
2022-11-23T02:25:07.0231749Z [       OK ] LiteInterpreterDirectTest.Prim (2 ms)
2022-11-23T02:25:07.0232333Z [ RUN      ] LiteInterpreterDirectTest.PrimScalar
2022-11-23T02:25:07.0257254Z [       OK ] LiteInterpreterDirectTest.PrimScalar (2 ms)
2022-11-23T02:25:07.0257935Z [ RUN      ] LiteInterpreterDirectTest.WrongMethodName
2022-11-23T02:25:07.0305283Z [       OK ] LiteInterpreterDirectTest.WrongMethodName (4 ms)
2022-11-23T02:25:07.0305833Z [ RUN      ] LiteInterpreterDirectTest.SetState
2022-11-23T02:25:07.0464487Z [       OK ] LiteInterpreterDirectTest.SetState (15 ms)
2022-11-23T02:25:07.0465083Z [ RUN      ] LiteInterpreterDirectTest.BuiltinFunction
2022-11-23T02:25:07.0477954Z [       OK ] LiteInterpreterDirectTest.BuiltinFunction (1 ms)
2022-11-23T02:25:07.0478709Z [ RUN      ] LiteInterpreterDirectTest.GetRuntimeByteCodeVersion
2022-11-23T02:25:07.0479324Z [       OK ] LiteInterpreterDirectTest.GetRuntimeByteCodeVersion (0 ms)
2022-11-23T02:25:07.0479785Z [ RUN      ] LiteInterpreterDirectTest.GetRuntimeOperatorsVersion
2022-11-23T02:25:07.0480251Z [       OK ] LiteInterpreterDirectTest.GetRuntimeOperatorsVersion (0 ms)
2022-11-23T02:25:07.0480697Z [ RUN      ] LiteInterpreterDirectTest.GetByteCodeVersion
2022-11-23T02:25:07.0482197Z [       OK ] LiteInterpreterDirectTest.GetByteCodeVersion (0 ms)
2022-11-23T02:25:07.0482830Z [ RUN      ] LiteInterpreterDirectTest.GetRuntimeOpsAndInfo
2022-11-23T02:25:07.0771309Z [       OK ] LiteInterpreterDirectTest.GetRuntimeOpsAndInfo (28 ms)
2022-11-23T02:25:07.0771731Z [ RUN      ] LiteInterpreterDirectTest.Eval
2022-11-23T02:25:07.0816508Z [       OK ] LiteInterpreterDirectTest.Eval (4 ms)
2022-11-23T02:25:07.0817133Z [ RUN      ] LiteInterpreterDirectTest.FindWrongMethodName
2022-11-23T02:25:07.0833213Z [       OK ] LiteInterpreterDirectTest.FindWrongMethodName (1 ms)
2022-11-23T02:25:07.0833852Z [ RUN      ] LiteInterpreterDirectTest.FindAndRunMethod
2022-11-23T02:25:07.0877008Z [       OK ] LiteInterpreterDirectTest.FindAndRunMethod (4 ms)
2022-11-23T02:25:07.0877826Z [ RUN      ] LiteInterpreterDirectTest.RunMethodVariadic
2022-11-23T02:25:07.0915398Z [       OK ] LiteInterpreterDirectTest.RunMethodVariadic (3 ms)
2022-11-23T02:25:07.0916035Z [ RUN      ] LiteInterpreterDirectTest.DuplicateSetState
2022-11-23T02:25:07.0956819Z [       OK ] LiteInterpreterDirectTest.DuplicateSetState (4 ms)
2022-11-23T02:25:07.0957652Z [ RUN      ] LiteInterpreterDirectTest.OpNameExportFetchRootOperators
2022-11-23T02:25:07.0990691Z [       OK ] LiteInterpreterDirectTest.OpNameExportFetchRootOperators (3 ms)
2022-11-23T02:25:07.0991316Z [ RUN      ] LiteInterpreterDirectTest.DefaultArgsConv
2022-11-23T02:25:07.1049286Z [       OK ] LiteInterpreterDirectTest.DefaultArgsConv (5 ms)
2022-11-23T02:25:07.1049899Z [ RUN      ] LiteInterpreterDirectTest.DefaultArgsPinv
2022-11-23T02:25:07.1236553Z [       OK ] LiteInterpreterDirectTest.DefaultArgsPinv (18 ms)
2022-11-23T02:25:07.1237451Z [ RUN      ] LiteInterpreterDirectTest.DefaultArgsTensorinvSpecifyDefault
2022-11-23T02:25:07.1284675Z [       OK ] LiteInterpreterDirectTest.DefaultArgsTensorinvSpecifyDefault (4 ms)
2022-11-23T02:25:07.1285237Z [ RUN      ] LiteInterpreterDirectTest.DefaultArgsPinvWithOutArg
2022-11-23T02:25:07.1400171Z [       OK ] LiteInterpreterDirectTest.DefaultArgsPinvWithOutArg (11 ms)
2022-11-23T02:25:07.1400793Z [ RUN      ] LiteInterpreterDirectTest.DefaultArgsWithOutArg
2022-11-23T02:25:07.1436478Z [       OK ] LiteInterpreterDirectTest.DefaultArgsWithOutArg (3 ms)
2022-11-23T02:25:07.1437451Z [ RUN      ] LiteInterpreterDirectTest.TestExceptionStackWithTwoLevelModuleHierarchy
2022-11-23T02:25:07.1679008Z [       OK ] LiteInterpreterDirectTest.TestExceptionStackWithTwoLevelModuleHierarchy (24 ms)
2022-11-23T02:25:07.1679666Z [ RUN      ] LiteInterpreterDirectTest.OperatorCacheDifferentiatesDefaultArgs
2022-11-23T02:25:07.1858025Z [       OK ] LiteInterpreterDirectTest.OperatorCacheDifferentiatesDefaultArgs (17 ms)
2022-11-23T02:25:07.1858870Z [----------] 29 tests from LiteInterpreterDirectTest (210 ms total)
2022-11-23T02:25:07.1859054Z 
2022-11-23T02:25:07.1859210Z [----------] 7 tests from LiteTrainerTest
2022-11-23T02:25:07.1859485Z [ RUN      ] LiteTrainerTest.Params
2022-11-23T02:25:07.2501397Z [       OK ] LiteTrainerTest.Params (64 ms)
2022-11-23T02:25:07.2501891Z [ RUN      ] LiteTrainerTest.SGD
2022-11-23T02:25:07.3078303Z [       OK ] LiteTrainerTest.SGD (57 ms)
2022-11-23T02:25:07.3078915Z [ RUN      ] LiteTrainerTest.SequentialSampler
2022-11-23T02:25:07.3079379Z [       OK ] LiteTrainerTest.SequentialSampler (0 ms)
2022-11-23T02:25:07.3079810Z [ RUN      ] LiteTrainerTest.RandomSamplerReturnsIndicesInCorrectRange
2022-11-23T02:25:07.3081111Z [       OK ] LiteTrainerTest.RandomSamplerReturnsIndicesInCorrectRange (0 ms)
2022-11-23T02:25:07.3081797Z [ RUN      ] LiteTrainerTest.RandomSamplerReturnsLessValuesForLastBatch
2022-11-23T02:25:07.3082861Z [       OK ] LiteTrainerTest.RandomSamplerReturnsLessValuesForLastBatch (0 ms)
2022-11-23T02:25:07.3083358Z [ RUN      ] LiteTrainerTest.RandomSamplerResetsWell
2022-11-23T02:25:07.3083910Z [       OK ] LiteTrainerTest.RandomSamplerResetsWell (0 ms)
2022-11-23T02:25:07.3084394Z [ RUN      ] LiteTrainerTest.RandomSamplerResetsWithNewSizeWell
2022-11-23T02:25:07.3085353Z [       OK ] LiteTrainerTest.RandomSamplerResetsWithNewSizeWell (0 ms)
2022-11-23T02:25:07.3086074Z [----------] 7 tests from LiteTrainerTest (122 ms total)
2022-11-23T02:25:07.3086320Z 
2022-11-23T02:25:07.3086469Z [----------] 6 tests from MobileTest
2022-11-23T02:25:07.3086773Z [ RUN      ] MobileTest.SaveLoadParametersEmpty
2022-11-23T02:25:07.3132047Z [       OK ] MobileTest.SaveLoadParametersEmpty (4 ms)
2022-11-23T02:25:07.3132453Z [ RUN      ] MobileTest.SaveParametersDefaultsToZip
2022-11-23T02:25:07.3133218Z [       OK ] MobileTest.SaveParametersDefaultsToZip (0 ms)
2022-11-23T02:25:07.3133814Z [ RUN      ] MobileTest.SaveParametersCanUseFlatbuffer
2022-11-23T02:25:07.3136658Z [       OK ] MobileTest.SaveParametersCanUseFlatbuffer (0 ms)
2022-11-23T02:25:07.3137228Z [ RUN      ] MobileTest.SaveLoadParametersUsingFlatbuffers
2022-11-23T02:25:07.3145444Z [       OK ] MobileTest.SaveLoadParametersUsingFlatbuffers (0 ms)
2022-11-23T02:25:07.3146074Z [ RUN      ] MobileTest.LoadParametersUnexpectedFormatShouldThrow
2022-11-23T02:25:07.3186896Z [       OK ] MobileTest.LoadParametersUnexpectedFormatShouldThrow (4 ms)
2022-11-23T02:25:07.3187496Z [ RUN      ] MobileTest.LoadParametersEmptyDataShouldThrow
2022-11-23T02:25:07.3226224Z [       OK ] MobileTest.LoadParametersEmptyDataShouldThrow (3 ms)
2022-11-23T02:25:07.3226870Z [----------] 6 tests from MobileTest (14 ms total)
2022-11-23T02:25:07.3227040Z 
2022-11-23T02:25:07.3227178Z [----------] 1 test from MemoryDAGTest
2022-11-23T02:25:07.3227446Z [ RUN      ] MemoryDAGTest.Basic
2022-11-23T02:25:07.3228832Z [       OK ] MemoryDAGTest.Basic (0 ms)
2022-11-23T02:25:07.3229416Z [----------] 1 test from MemoryDAGTest (0 ms total)
2022-11-23T02:25:07.3229696Z 
2022-11-23T02:25:07.3229978Z [----------] 1 test from InternedStringsTest
2022-11-23T02:25:07.3230434Z [ RUN      ] InternedStringsTest.Basic
2022-11-23T02:25:07.3230744Z [       OK ] InternedStringsTest.Basic (0 ms)
2022-11-23T02:25:07.3231067Z [----------] 1 test from InternedStringsTest (0 ms total)
2022-11-23T02:25:07.3231230Z 
2022-11-23T02:25:07.3231392Z [----------] 1 test from FromQualStringTest
2022-11-23T02:25:07.3231681Z [ RUN      ] FromQualStringTest.Basic
2022-11-23T02:25:07.3244450Z [       OK ] FromQualStringTest.Basic (1 ms)
2022-11-23T02:25:07.3245023Z [----------] 1 test from FromQualStringTest (1 ms total)
2022-11-23T02:25:07.3245323Z 
2022-11-23T02:25:07.3245497Z [----------] 1 test from THNNConvTest
2022-11-23T02:25:07.3245756Z [ RUN      ] THNNConvTest.Basic
2022-11-23T02:25:07.3334676Z [       OK ] THNNConvTest.Basic (8 ms)
2022-11-23T02:25:07.3335038Z [----------] 1 test from THNNConvTest (8 ms total)
2022-11-23T02:25:07.3335194Z 
2022-11-23T02:25:07.3335367Z [----------] 1 test from ATenNativeBatchNormTest
2022-11-23T02:25:07.3335680Z [ RUN      ] ATenNativeBatchNormTest.Basic
2022-11-23T02:25:07.3411846Z [       OK ] ATenNativeBatchNormTest.Basic (7 ms)
2022-11-23T02:25:07.3412488Z [----------] 1 test from ATenNativeBatchNormTest (7 ms total)
2022-11-23T02:25:07.3412667Z 
2022-11-23T02:25:07.3412824Z [----------] 2 tests from CustomFusionTest
2022-11-23T02:25:07.3413107Z [ RUN      ] CustomFusionTest.Basic
2022-11-23T02:25:07.3431245Z [       OK ] CustomFusionTest.Basic (1 ms)
2022-11-23T02:25:07.3432057Z [ RUN      ] CustomFusionTest.NestedBlocks
2022-11-23T02:25:07.3446410Z [       OK ] CustomFusionTest.NestedBlocks (1 ms)
2022-11-23T02:25:07.3447091Z [----------] 2 tests from CustomFusionTest (3 ms total)
2022-11-23T02:25:07.3447390Z 
2022-11-23T02:25:07.3447684Z [----------] 1 test from ControlFlowTest
2022-11-23T02:25:07.3448034Z [ RUN      ] ControlFlowTest.Basic
2022-11-23T02:25:07.3500984Z [       OK ] ControlFlowTest.Basic (5 ms)
2022-11-23T02:25:07.3501700Z [----------] 1 test from ControlFlowTest (5 ms total)
2022-11-23T02:25:07.3501945Z 
2022-11-23T02:25:07.3502200Z [----------] 9 tests from SchemaParserTest
2022-11-23T02:25:07.3502660Z [ RUN      ] SchemaParserTest.NestedArrays
2022-11-23T02:25:07.3503380Z [       OK ] SchemaParserTest.NestedArrays (0 ms)
2022-11-23T02:25:07.3503763Z [ RUN      ] SchemaParserTest.OutVariant
2022-11-23T02:25:07.3506866Z [       OK ] SchemaParserTest.OutVariant (0 ms)
2022-11-23T02:25:07.3519593Z [ RUN      ] SchemaParserTest.NamedReturns
2022-11-23T02:25:07.3521445Z [       OK ] SchemaParserTest.NamedReturns (0 ms)
2022-11-23T02:25:07.3522043Z [ RUN      ] SchemaParserTest.Futures
2022-11-23T02:25:07.3522630Z [       OK ] SchemaParserTest.Futures (0 ms)
2022-11-23T02:25:07.3523236Z [ RUN      ] SchemaParserTest.AnnotatedAliasSets
2022-11-23T02:25:07.3523587Z [       OK ] SchemaParserTest.AnnotatedAliasSets (0 ms)
2022-11-23T02:25:07.3523972Z [ RUN      ] SchemaParserTest.TensorListAnnotatedAliasSets
2022-11-23T02:25:07.3524392Z [       OK ] SchemaParserTest.TensorListAnnotatedAliasSets (0 ms)
2022-11-23T02:25:07.3524813Z [ RUN      ] SchemaParserTest.AnnotatedAliasWithoutBeforeSet
2022-11-23T02:25:07.3525227Z [       OK ] SchemaParserTest.AnnotatedAliasWithoutBeforeSet (0 ms)
2022-11-23T02:25:07.3525608Z [ RUN      ] SchemaParserTest.BeforeAfterSets
2022-11-23T02:25:07.3525950Z [       OK ] SchemaParserTest.BeforeAfterSets (0 ms)
2022-11-23T02:25:07.3526276Z [ RUN      ] SchemaParserTest.BeforeAfterSets2
2022-11-23T02:25:07.3526621Z [       OK ] SchemaParserTest.BeforeAfterSets2 (0 ms)
2022-11-23T02:25:07.3526973Z [----------] 9 tests from SchemaParserTest (1 ms total)
2022-11-23T02:25:07.3527134Z 
2022-11-23T02:25:07.3527292Z [----------] 2 tests from TopologicalIndexTest
2022-11-23T02:25:07.3527591Z [ RUN      ] TopologicalIndexTest.Basic
2022-11-23T02:25:07.3527899Z [       OK ] TopologicalIndexTest.Basic (0 ms)
2022-11-23T02:25:07.3528204Z [ RUN      ] TopologicalIndexTest.Reindex
2022-11-23T02:25:07.3534777Z [       OK ] TopologicalIndexTest.Reindex (1 ms)
2022-11-23T02:25:07.3556311Z [----------] 2 tests from TopologicalIndexTest (1 ms total)
2022-11-23T02:25:07.3556639Z 
2022-11-23T02:25:07.3556964Z [----------] 7 tests from RecordFunctionTest
2022-11-23T02:25:07.3557552Z [ RUN      ] RecordFunctionTest.TracedTestInputsOutputs
2022-11-23T02:25:07.3596760Z [       OK ] RecordFunctionTest.TracedTestInputsOutputs (3 ms)
2022-11-23T02:25:07.3597383Z [ RUN      ] RecordFunctionTest.SampledCallbacks
2022-11-23T02:25:07.4089554Z [       OK ] RecordFunctionTest.SampledCallbacks (49 ms)
2022-11-23T02:25:07.4089977Z [ RUN      ] RecordFunctionTest.RecordFunctionGuard
2022-11-23T02:25:07.4090373Z [       OK ] RecordFunctionTest.RecordFunctionGuard (0 ms)
2022-11-23T02:25:07.4090712Z [ RUN      ] RecordFunctionTest.Callbacks
2022-11-23T02:25:07.4100687Z [       OK ] RecordFunctionTest.Callbacks (1 ms)
2022-11-23T02:25:07.4101192Z [ RUN      ] RecordFunctionTest.ShouldRun
2022-11-23T02:25:07.4101529Z [       OK ] RecordFunctionTest.ShouldRun (0 ms)
2022-11-23T02:25:07.4101834Z [ RUN      ] RecordFunctionTest.Basic
2022-11-23T02:25:07.4115996Z [       OK ] RecordFunctionTest.Basic (1 ms)
2022-11-23T02:25:07.4116556Z [ RUN      ] RecordFunctionTest.OperatorNameOverload
2022-11-23T02:25:07.4117895Z [       OK ] RecordFunctionTest.OperatorNameOverload (0 ms)
2022-11-23T02:25:07.4118495Z [----------] 7 tests from RecordFunctionTest (56 ms total)
2022-11-23T02:25:07.4118662Z 
2022-11-23T02:25:07.4118888Z [----------] 1 test from ThreadLocalDebugInfoTest
2022-11-23T02:25:07.4119206Z [ RUN      ] ThreadLocalDebugInfoTest.Basic
2022-11-23T02:25:07.4125698Z [       OK ] ThreadLocalDebugInfoTest.Basic (0 ms)
2022-11-23T02:25:07.4126143Z [----------] 1 test from ThreadLocalDebugInfoTest (0 ms total)
2022-11-23T02:25:07.4126311Z 
2022-11-23T02:25:07.4126520Z [----------] 1 test from TestSymIntArrayRef
2022-11-23T02:25:07.4126907Z [ RUN      ] TestSymIntArrayRef.BasicConversion
2022-11-23T02:25:07.4131256Z [       OK ] TestSymIntArrayRef.BasicConversion (0 ms)
2022-11-23T02:25:07.4131907Z [----------] 1 test from TestSymIntArrayRef (0 ms total)
2022-11-23T02:25:07.4132155Z 
2022-11-23T02:25:07.4132302Z [----------] 4 tests from TestSymInt
2022-11-23T02:25:07.4132623Z [ RUN      ] TestSymInt.NarrowCopyWithSymbolicInt
2022-11-23T02:25:07.4136551Z [       OK ] TestSymInt.NarrowCopyWithSymbolicInt (0 ms)
2022-11-23T02:25:07.4137070Z [ RUN      ] TestSymInt.NarrowCopy
2022-11-23T02:25:07.4140943Z [       OK ] TestSymInt.NarrowCopy (0 ms)
2022-11-23T02:25:07.4141504Z [ RUN      ] TestSymInt.AddSymbolicInt
2022-11-23T02:25:07.4141833Z [       OK ] TestSymInt.AddSymbolicInt (0 ms)
2022-11-23T02:25:07.4142168Z [ RUN      ] TestSymInt.TestSymIntToSymNodeDispatch
2022-11-23T02:25:07.4145029Z [       OK ] TestSymInt.TestSymIntToSymNodeDispatch (0 ms)
2022-11-23T02:25:07.4145644Z [----------] 4 tests from TestSymInt (1 ms total)
2022-11-23T02:25:07.4145792Z 
2022-11-23T02:25:07.4145957Z [----------] 1 test from FallbackGraphsTest
2022-11-23T02:25:07.4146254Z [ RUN      ] FallbackGraphsTest.Basic
2022-11-23T02:25:07.4222229Z [       OK ] FallbackGraphsTest.Basic (7 ms)
2022-11-23T02:25:07.4222914Z [----------] 1 test from FallbackGraphsTest (7 ms total)
2022-11-23T02:25:07.4223094Z 
2022-11-23T02:25:07.4223258Z [----------] 1 test from NoneSchemaMatchTest
2022-11-23T02:25:07.4223552Z [ RUN      ] NoneSchemaMatchTest.Basic
2022-11-23T02:25:07.4226676Z [       OK ] NoneSchemaMatchTest.Basic (0 ms)
2022-11-23T02:25:07.4227360Z [----------] 1 test from NoneSchemaMatchTest (0 ms total)
2022-11-23T02:25:07.4227532Z 
2022-11-23T02:25:07.4227697Z [----------] 1 test from PassManagementTest
2022-11-23T02:25:07.4227989Z [ RUN      ] PassManagementTest.Basic
2022-11-23T02:25:07.4234427Z [       OK ] PassManagementTest.Basic (0 ms)
2022-11-23T02:25:07.4235044Z [----------] 1 test from PassManagementTest (0 ms total)
2022-11-23T02:25:07.4235247Z 
2022-11-23T02:25:07.4235400Z [----------] 5 tests from LoopPeelerTest
2022-11-23T02:25:07.4235729Z [ RUN      ] LoopPeelerTest.NoInductionVariableUse
2022-11-23T02:25:07.4263018Z [       OK ] LoopPeelerTest.NoInductionVariableUse (2 ms)
2022-11-23T02:25:07.4263408Z [ RUN      ] LoopPeelerTest.YesInductionVariableUse
2022-11-23T02:25:07.4289203Z [       OK ] LoopPeelerTest.YesInductionVariableUse (2 ms)
2022-11-23T02:25:07.4289639Z [ RUN      ] LoopPeelerTest.LoopWithTerminationCondition
2022-11-23T02:25:07.4323489Z [       OK ] LoopPeelerTest.LoopWithTerminationCondition (3 ms)
2022-11-23T02:25:07.4323894Z [ RUN      ] LoopPeelerTest.SimpleNestedLoops
2022-11-23T02:25:07.4370687Z [       OK ] LoopPeelerTest.SimpleNestedLoops (4 ms)
2022-11-23T02:25:07.4371056Z [ RUN      ] LoopPeelerTest.SimpleNestedLoops2
2022-11-23T02:25:07.4424543Z [       OK ] LoopPeelerTest.SimpleNestedLoops2 (5 ms)
2022-11-23T02:25:07.4425183Z [----------] 5 tests from LoopPeelerTest (18 ms total)
2022-11-23T02:25:07.4425352Z 
2022-11-23T02:25:07.4425627Z [----------] 1 test from JitTracing
2022-11-23T02:25:07.4425875Z [ RUN      ] JitTracing.Basic
2022-11-23T02:25:07.4983408Z [       OK ] JitTracing.Basic (55 ms)
2022-11-23T02:25:07.4983934Z [----------] 1 test from JitTracing (55 ms total)
2022-11-23T02:25:07.4984163Z 
2022-11-23T02:25:07.4984512Z [----------] 1 test from InsertAndEliminateRedundantGuardsTest
2022-11-23T02:25:07.4985151Z [ RUN      ] InsertAndEliminateRedundantGuardsTest.Basic
2022-11-23T02:25:07.5044267Z [       OK ] InsertAndEliminateRedundantGuardsTest.Basic (6 ms)
2022-11-23T02:25:07.5044998Z [----------] 1 test from InsertAndEliminateRedundantGuardsTest (6 ms total)
2022-11-23T02:25:07.5045347Z 
2022-11-23T02:25:07.5045616Z [----------] 1 test from InsertBailOutsTest
2022-11-23T02:25:07.5046064Z [ RUN      ] InsertBailOutsTest.Basic
2022-11-23T02:25:07.5134499Z [       OK ] InsertBailOutsTest.Basic (8 ms)
2022-11-23T02:25:07.5135171Z [----------] 1 test from InsertBailOutsTest (9 ms total)
2022-11-23T02:25:07.5135470Z 
2022-11-23T02:25:07.5135736Z [----------] 2 tests from ProfilerTest
2022-11-23T02:25:07.5136191Z [ RUN      ] ProfilerTest.Basic
2022-11-23T02:25:07.5624385Z [       OK ] ProfilerTest.Basic (48 ms)
2022-11-23T02:25:07.5624907Z [ RUN      ] ProfilerTest.OptionalProfiling
2022-11-23T02:25:07.5640141Z [       OK ] ProfilerTest.OptionalProfiling (1 ms)
2022-11-23T02:25:07.5640849Z [----------] 2 tests from ProfilerTest (50 ms total)
2022-11-23T02:25:07.5641159Z 
2022-11-23T02:25:07.5641449Z [----------] 2 tests from CallStackTest
2022-11-23T02:25:07.5641994Z [ RUN      ] CallStackTest.Basic
2022-11-23T02:25:07.5690554Z [       OK ] CallStackTest.Basic (4 ms)
2022-11-23T02:25:07.5691059Z [ RUN      ] CallStackTest.Caching
2022-11-23T02:25:07.5725300Z [       OK ] CallStackTest.Caching (3 ms)
2022-11-23T02:25:07.5725856Z [----------] 2 tests from CallStackTest (8 ms total)
2022-11-23T02:25:07.5726095Z 
2022-11-23T02:25:07.5726366Z [----------] 2 tests from InlinedCallStackTest
2022-11-23T02:25:07.5726899Z [ RUN      ] InlinedCallStackTest.BlockAnnotation
2022-11-23T02:25:07.5785615Z [       OK ] InlinedCallStackTest.BlockAnnotation (5 ms)
2022-11-23T02:25:07.5786227Z [ RUN      ] InlinedCallStackTest.SelfCallMethods
2022-11-23T02:25:07.5870785Z [       OK ] InlinedCallStackTest.SelfCallMethods (8 ms)
2022-11-23T02:25:07.5871440Z [----------] 2 tests from InlinedCallStackTest (14 ms total)
2022-11-23T02:25:07.5871737Z 
2022-11-23T02:25:07.5872008Z [----------] 1 test from AutogradSymbolsTest
2022-11-23T02:25:07.5872504Z [ RUN      ] AutogradSymbolsTest.Basic
2022-11-23T02:25:07.5872978Z [       OK ] AutogradSymbolsTest.Basic (0 ms)
2022-11-23T02:25:07.5873484Z [----------] 1 test from AutogradSymbolsTest (0 ms total)
2022-11-23T02:25:07.5873766Z 
2022-11-23T02:25:07.5874056Z [----------] 1 test from DefaultArgTypeHintingTest
2022-11-23T02:25:07.5874589Z [ RUN      ] DefaultArgTypeHintingTest.Basic
2022-11-23T02:25:07.5892731Z [       OK ] DefaultArgTypeHintingTest.Basic (2 ms)
2022-11-23T02:25:07.5893488Z [----------] 1 test from DefaultArgTypeHintingTest (2 ms total)
2022-11-23T02:25:07.5893797Z 
2022-11-23T02:25:07.5893934Z [----------] 5 tests from FuturesTest
2022-11-23T02:25:07.5894198Z [ RUN      ] FuturesTest.Basic
2022-11-23T02:25:07.5894471Z [       OK ] FuturesTest.Basic (0 ms)
2022-11-23T02:25:07.5894734Z [ RUN      ] FuturesTest.Error
2022-11-23T02:25:07.5917461Z [       OK ] FuturesTest.Error (2 ms)
2022-11-23T02:25:07.5917925Z [ RUN      ] FuturesTest.Then
2022-11-23T02:25:07.5918426Z [       OK ] FuturesTest.Then (0 ms)
2022-11-23T02:25:07.5918703Z [ RUN      ] FuturesTest.CollectAll
2022-11-23T02:25:07.5920604Z [       OK ] FuturesTest.CollectAll (0 ms)
2022-11-23T02:25:07.5921124Z [ RUN      ] FuturesTest.CollectAny
2022-11-23T02:25:07.5921642Z [       OK ] FuturesTest.CollectAny (0 ms)
2022-11-23T02:25:07.5922112Z [----------] 5 tests from FuturesTest (2 ms total)
2022-11-23T02:25:07.5922262Z 
2022-11-23T02:25:07.5922435Z [----------] 1 test from TLSFutureCallbacksTest
2022-11-23T02:25:07.5922743Z [ RUN      ] TLSFutureCallbacksTest.Basic
2022-11-23T02:25:07.5931763Z [       OK ] TLSFutureCallbacksTest.Basic (0 ms)
2022-11-23T02:25:07.5932173Z [----------] 1 test from TLSFutureCallbacksTest (0 ms total)
2022-11-23T02:25:07.5932357Z 
2022-11-23T02:25:07.5932562Z [----------] 1 test from ProfilerDisableInCallbackTest
2022-11-23T02:25:07.5932920Z [ RUN      ] ProfilerDisableInCallbackTest.Basic
2022-11-23T02:25:07.5942460Z [       OK ] ProfilerDisableInCallbackTest.Basic (1 ms)
2022-11-23T02:25:07.5942910Z [----------] 1 test from ProfilerDisableInCallbackTest (1 ms total)
2022-11-23T02:25:07.5943207Z 
2022-11-23T02:25:07.5943494Z [----------] 2 tests from RecordDebugHandles
2022-11-23T02:25:07.5943978Z [ RUN      ] RecordDebugHandles.Basic
2022-11-23T02:25:07.5948261Z STAGE:2022-11-23 02:25:07 11916:11916 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:25:07.5952492Z STAGE:2022-11-23 02:25:07 11916:11916 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:25:07.5954803Z STAGE:2022-11-23 02:25:07 11916:11916 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:25:07.5956897Z [       OK ] RecordDebugHandles.Basic (1 ms)
2022-11-23T02:25:07.5957428Z [ RUN      ] RecordDebugHandles.ScopedCallbacks
2022-11-23T02:25:07.5959244Z STAGE:2022-11-23 02:25:07 11916:11916 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:25:07.5975593Z STAGE:2022-11-23 02:25:07 11916:11916 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:25:07.5977334Z STAGE:2022-11-23 02:25:07 11916:11916 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:25:07.5980371Z STAGE:2022-11-23 02:25:07 11916:11916 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:25:07.5994362Z STAGE:2022-11-23 02:25:07 11916:11916 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:25:07.5996266Z STAGE:2022-11-23 02:25:07 11916:11916 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:25:07.5998552Z STAGE:2022-11-23 02:25:07 11916:11916 ActivityProfilerController.cpp:300] Completed Stage: Warm Up
2022-11-23T02:25:07.6024564Z STAGE:2022-11-23 02:25:07 11916:11916 ActivityProfilerController.cpp:306] Completed Stage: Collection
2022-11-23T02:25:07.6026199Z STAGE:2022-11-23 02:25:07 11916:11916 ActivityProfilerController.cpp:310] Completed Stage: Post Processing
2022-11-23T02:25:07.6028238Z [       OK ] RecordDebugHandles.ScopedCallbacks (7 ms)
2022-11-23T02:25:07.6028918Z [----------] 2 tests from RecordDebugHandles (8 ms total)
2022-11-23T02:25:07.6029124Z 
2022-11-23T02:25:07.6029269Z [----------] 1 test from IValueKWargsTest
2022-11-23T02:25:07.6029558Z [ RUN      ] IValueKWargsTest.Basic
2022-11-23T02:25:07.6067673Z [       OK ] IValueKWargsTest.Basic (3 ms)
2022-11-23T02:25:07.6068314Z [----------] 1 test from IValueKWargsTest (3 ms total)
2022-11-23T02:25:07.6068508Z 
2022-11-23T02:25:07.6068718Z [----------] 1 test from ComputeFlopsTest
2022-11-23T02:25:07.6069137Z [ RUN      ] ComputeFlopsTest.Basic
2022-11-23T02:25:07.6069732Z [W util.cpp:501] Warning: Failed to compute flops for op aten::conv2d because both input and weight must be size 4. (function computeFlops)
2022-11-23T02:25:07.6070388Z [W util.cpp:516] Warning: Failed to compute flops for op aten::conv2d because stride must be size 2 and cannot be 0. (function computeFlops)
2022-11-23T02:25:07.6070969Z [W util.cpp:472] Warning: Calculating flops for aten::conv2d requires groups, padding, stride, dilation, input_size, and weight_size in saved arguments. (function computeFlops)
2022-11-23T02:25:07.6071491Z [W util.cpp:545] Warning: Calculating flops for aten::mm requires mat1_size and mat2_size in saved arguments. (function computeFlops)
2022-11-23T02:25:07.6072002Z [       OK ] ComputeFlopsTest.Basic (0 ms)
2022-11-23T02:25:07.6072336Z [----------] 1 test from ComputeFlopsTest (0 ms total)
2022-11-23T02:25:07.6072483Z 
2022-11-23T02:25:07.6072630Z [----------] 1 test from TestConstant
2022-11-23T02:25:07.6072908Z [ RUN      ] TestConstant.TensorGrad
2022-11-23T02:25:07.6073200Z [       OK ] TestConstant.TensorGrad (0 ms)
2022-11-23T02:25:07.6073498Z [----------] 1 test from TestConstant (0 ms total)
2022-11-23T02:25:07.6073648Z 
2022-11-23T02:25:07.6073793Z [----------] 1 test from TestMutation
2022-11-23T02:25:07.6074051Z [ RUN      ] TestMutation.Basic
2022-11-23T02:25:07.6086008Z [       OK ] TestMutation.Basic (1 ms)
2022-11-23T02:25:07.6086324Z [----------] 1 test from TestMutation (1 ms total)
2022-11-23T02:25:07.6086478Z 
2022-11-23T02:25:07.6086684Z [----------] 1 test from TestInplaceToFunctionalActivation
2022-11-23T02:25:07.6087055Z [ RUN      ] TestInplaceToFunctionalActivation.Basic
2022-11-23T02:25:07.6093379Z [       OK ] TestInplaceToFunctionalActivation.Basic (0 ms)
2022-11-23T02:25:07.6094144Z [----------] 1 test from TestInplaceToFunctionalActivation (0 ms total)
2022-11-23T02:25:07.6094364Z 
2022-11-23T02:25:07.6094533Z [----------] 1 test from TestRegisterShapeOp
2022-11-23T02:25:07.6094841Z [ RUN      ] TestRegisterShapeOp.Basic
2022-11-23T02:25:09.3669305Z [       OK ] TestRegisterShapeOp.Basic (1757 ms)
2022-11-23T02:25:09.3669778Z [----------] 1 test from TestRegisterShapeOp (1757 ms total)
2022-11-23T02:25:09.3669997Z 
2022-11-23T02:25:09.3670210Z [----------] 1 test from TestFunctionalToInplaceActivation
2022-11-23T02:25:09.3670640Z [ RUN      ] TestFunctionalToInplaceActivation.Basic
2022-11-23T02:25:09.3675096Z [       OK ] TestFunctionalToInplaceActivation.Basic (0 ms)
2022-11-23T02:25:09.3675617Z [----------] 1 test from TestFunctionalToInplaceActivation (0 ms total)
2022-11-23T02:25:09.3675823Z 
2022-11-23T02:25:09.3676000Z [----------] 2 tests from TestFunctionExecutor
2022-11-23T02:25:09.3676401Z [ RUN      ] TestFunctionExecutor.SimpleExecutorTest
2022-11-23T02:25:09.3715175Z [       OK ] TestFunctionExecutor.SimpleExecutorTest (3 ms)
2022-11-23T02:25:09.3715572Z [ RUN      ] TestFunctionExecutor.RunDecompositionTest
2022-11-23T02:25:09.3845372Z [       OK ] TestFunctionExecutor.RunDecompositionTest (12 ms)
2022-11-23T02:25:09.3846050Z [----------] 2 tests from TestFunctionExecutor (16 ms total)
2022-11-23T02:25:09.3846211Z 
2022-11-23T02:25:09.3846384Z [----------] 1 test from TestShapeGraphLinting
2022-11-23T02:25:09.3846697Z [ RUN      ] TestShapeGraphLinting.Basic
2022-11-23T02:25:09.3878152Z [       OK ] TestShapeGraphLinting.Basic (3 ms)
2022-11-23T02:25:09.3878776Z [----------] 1 test from TestShapeGraphLinting (3 ms total)
2022-11-23T02:25:09.3879105Z 
2022-11-23T02:25:09.3879266Z [----------] 1 test from Composed
2022-11-23T02:25:09.3879530Z [ RUN      ] Composed.ComposedOp
2022-11-23T02:25:09.3879808Z [       OK ] Composed.ComposedOp (0 ms)
2022-11-23T02:25:09.3880299Z [----------] 1 test from Composed (0 ms total)
2022-11-23T02:25:09.3880444Z 
2022-11-23T02:25:09.3880606Z [----------] 1 test from ConstantPropagation
2022-11-23T02:25:09.3880977Z [ RUN      ] ConstantPropagation.CustomClassesCanBePropagated
2022-11-23T02:25:09.3907295Z [       OK ] ConstantPropagation.CustomClassesCanBePropagated (2 ms)
2022-11-23T02:25:09.3907859Z [----------] 1 test from ConstantPropagation (2 ms total)
2022-11-23T02:25:09.3908097Z 
2022-11-23T02:25:09.3908389Z [----------] 19 tests from MobileTypeParserTest
2022-11-23T02:25:09.3908700Z [ RUN      ] MobileTypeParserTest.Int
2022-11-23T02:25:09.3909002Z [       OK ] MobileTypeParserTest.Int (0 ms)
2022-11-23T02:25:09.3909495Z [ RUN      ] MobileTypeParserTest.NestedContainersAnnotationStr
2022-11-23T02:25:09.3910124Z [       OK ] MobileTypeParserTest.NestedContainersAnnotationStr (0 ms)
2022-11-23T02:25:09.3910685Z [ RUN      ] MobileTypeParserTest.TorchBindClass
2022-11-23T02:25:09.3911057Z [       OK ] MobileTypeParserTest.TorchBindClass (0 ms)
2022-11-23T02:25:09.3911507Z [ RUN      ] MobileTypeParserTest.ListOfTorchBindClass
2022-11-23T02:25:09.3912067Z [       OK ] MobileTypeParserTest.ListOfTorchBindClass (0 ms)
2022-11-23T02:25:09.3912527Z [ RUN      ] MobileTypeParserTest.NestedContainersAnnotationStrWithSpaces
2022-11-23T02:25:09.3913111Z [       OK ] MobileTypeParserTest.NestedContainersAnnotationStrWithSpaces (0 ms)
2022-11-23T02:25:09.3913620Z [ RUN      ] MobileTypeParserTest.NamedTuple
2022-11-23T02:25:09.3913971Z [       OK ] MobileTypeParserTest.NamedTuple (0 ms)
2022-11-23T02:25:09.3914389Z [ RUN      ] MobileTypeParserTest.DictNestedNamedTupleTypeList
2022-11-23T02:25:09.3915013Z [       OK ] MobileTypeParserTest.DictNestedNamedTupleTypeList (0 ms)
2022-11-23T02:25:09.3915627Z [ RUN      ] MobileTypeParserTest.NamedTupleNestedNamedTupleTypeList
2022-11-23T02:25:09.3916464Z [       OK ] MobileTypeParserTest.NamedTupleNestedNamedTupleTypeList (0 ms)
2022-11-23T02:25:09.3917034Z [ RUN      ] MobileTypeParserTest.NamedTupleNestedNamedTuple
2022-11-23T02:25:09.3917641Z [       OK ] MobileTypeParserTest.NamedTupleNestedNamedTuple (0 ms)
2022-11-23T02:25:09.3918004Z [ RUN      ] MobileTypeParserTest.Empty
2022-11-23T02:25:09.3974393Z [       OK ] MobileTypeParserTest.Empty (5 ms)
2022-11-23T02:25:09.3974727Z [ RUN      ] MobileTypeParserTest.TypoRaises
2022-11-23T02:25:09.4038819Z [       OK ] MobileTypeParserTest.TypoRaises (6 ms)
2022-11-23T02:25:09.4039202Z [ RUN      ] MobileTypeParserTest.MismatchBracketRaises
2022-11-23T02:25:09.4103253Z [       OK ] MobileTypeParserTest.MismatchBracketRaises (6 ms)
2022-11-23T02:25:09.4103732Z [ RUN      ] MobileTypeParserTest.MismatchBracketRaises2
2022-11-23T02:25:09.4167688Z [       OK ] MobileTypeParserTest.MismatchBracketRaises2 (6 ms)
2022-11-23T02:25:09.4168087Z [ RUN      ] MobileTypeParserTest.DictWithoutValueRaises
2022-11-23T02:25:09.4223055Z [       OK ] MobileTypeParserTest.DictWithoutValueRaises (5 ms)
2022-11-23T02:25:09.4223486Z [ RUN      ] MobileTypeParserTest.ListArgCountMismatchRaises
2022-11-23T02:25:09.4287601Z [       OK ] MobileTypeParserTest.ListArgCountMismatchRaises (6 ms)
2022-11-23T02:25:09.4288027Z [ RUN      ] MobileTypeParserTest.DictArgCountMismatchRaises
2022-11-23T02:25:09.4343445Z [       OK ] MobileTypeParserTest.DictArgCountMismatchRaises (5 ms)
2022-11-23T02:25:09.4343896Z [ RUN      ] MobileTypeParserTest.ValidTypeWithExtraStuffRaises
2022-11-23T02:25:09.4381007Z [       OK ] MobileTypeParserTest.ValidTypeWithExtraStuffRaises (3 ms)
2022-11-23T02:25:09.4381498Z [ RUN      ] MobileTypeParserTest.NonIdentifierRaises
2022-11-23T02:25:09.4418434Z [       OK ] MobileTypeParserTest.NonIdentifierRaises (3 ms)
2022-11-23T02:25:09.4419015Z [ RUN      ] MobileTypeParserTest.DictNestedNamedTupleTypeListRaises
2022-11-23T02:25:09.4492524Z [       OK ] MobileTypeParserTest.DictNestedNamedTupleTypeListRaises (7 ms)
2022-11-23T02:25:09.4493166Z [----------] 19 tests from MobileTypeParserTest (58 ms total)
2022-11-23T02:25:09.4493348Z 
2022-11-23T02:25:09.4493503Z [----------] 13 tests from ModuleAPITest
2022-11-23T02:25:09.4493803Z [ RUN      ] ModuleAPITest.MethodRunAsync
2022-11-23T02:25:09.4675212Z [       OK ] ModuleAPITest.MethodRunAsync (18 ms)
2022-11-23T02:25:09.4675686Z [ RUN      ] ModuleAPITest.Clone
2022-11-23T02:25:09.4676287Z [       OK ] ModuleAPITest.Clone (0 ms)
2022-11-23T02:25:09.4676606Z [ RUN      ] ModuleAPITest.CloneWithModuleInterface
2022-11-23T02:25:09.4740664Z [       OK ] ModuleAPITest.CloneWithModuleInterface (6 ms)
2022-11-23T02:25:09.4741115Z [ RUN      ] ModuleAPITest.Copy
2022-11-23T02:25:09.4741761Z [       OK ] ModuleAPITest.Copy (0 ms)
2022-11-23T02:25:09.4742086Z [ RUN      ] ModuleAPITest.DeepCopy
2022-11-23T02:25:09.4746654Z [       OK ] ModuleAPITest.DeepCopy (0 ms)
2022-11-23T02:25:09.4746991Z [ RUN      ] ModuleAPITest.DeepCopyString
2022-11-23T02:25:09.4747603Z [       OK ] ModuleAPITest.DeepCopyString (0 ms)
2022-11-23T02:25:09.4747980Z [ RUN      ] ModuleAPITest.DeepCopyEnum
2022-11-23T02:25:09.4748743Z [       OK ] ModuleAPITest.DeepCopyEnum (0 ms)
2022-11-23T02:25:09.4749152Z [ RUN      ] ModuleAPITest.DeepCopyPreservesAliasing
2022-11-23T02:25:09.4753782Z [       OK ] ModuleAPITest.DeepCopyPreservesAliasing (0 ms)
2022-11-23T02:25:09.4754246Z [ RUN      ] ModuleAPITest.Constants
2022-11-23T02:25:09.4754644Z [       OK ] ModuleAPITest.Constants (0 ms)
2022-11-23T02:25:09.4755039Z [ RUN      ] ModuleAPITest.Parameters
2022-11-23T02:25:09.4755429Z [       OK ] ModuleAPITest.Parameters (0 ms)
2022-11-23T02:25:09.4755721Z [ RUN      ] ModuleAPITest.Define
2022-11-23T02:25:09.4797810Z [       OK ] ModuleAPITest.Define (4 ms)
2022-11-23T02:25:09.4798135Z [ RUN      ] ModuleAPITest.Freezing
2022-11-23T02:25:09.4838603Z [       OK ] ModuleAPITest.Freezing (4 ms)
2022-11-23T02:25:09.4838921Z [ RUN      ] ModuleAPITest.OfiFreezesTraining
2022-11-23T02:25:09.4877302Z [       OK ] ModuleAPITest.OfiFreezesTraining (3 ms)
2022-11-23T02:25:09.4877692Z [----------] 13 tests from ModuleAPITest (38 ms total)
2022-11-23T02:25:09.4877858Z 
2022-11-23T02:25:09.4878033Z [----------] 6 tests from PeepholeOptimizeTest
2022-11-23T02:25:09.4878342Z [ RUN      ] PeepholeOptimizeTest.IsAndIsNot
2022-11-23T02:25:09.4883446Z [       OK ] PeepholeOptimizeTest.IsAndIsNot (0 ms)
2022-11-23T02:25:09.4883795Z [ RUN      ] PeepholeOptimizeTest.IsAndIsNot2
2022-11-23T02:25:09.4888656Z [       OK ] PeepholeOptimizeTest.IsAndIsNot2 (0 ms)
2022-11-23T02:25:09.4889006Z [ RUN      ] PeepholeOptimizeTest.IsAndIsNot3
2022-11-23T02:25:09.4895485Z [       OK ] PeepholeOptimizeTest.IsAndIsNot3 (0 ms)
2022-11-23T02:25:09.4895849Z [ RUN      ] PeepholeOptimizeTest.UnwrapOptional
2022-11-23T02:25:09.4901971Z [       OK ] PeepholeOptimizeTest.UnwrapOptional (0 ms)
2022-11-23T02:25:09.4902346Z [ RUN      ] PeepholeOptimizeTest.UnwrapOptional2
2022-11-23T02:25:09.4908216Z [       OK ] PeepholeOptimizeTest.UnwrapOptional2 (0 ms)
2022-11-23T02:25:09.4908558Z [ RUN      ] PeepholeOptimizeTest.AddMMFusion
2022-11-23T02:25:09.4918383Z [       OK ] PeepholeOptimizeTest.AddMMFusion (0 ms)
2022-11-23T02:25:09.4918880Z [----------] 6 tests from PeepholeOptimizeTest (4 ms total)
2022-11-23T02:25:09.4919114Z 
2022-11-23T02:25:09.4919585Z [----------] 5 tests from QualifiedNameTest
2022-11-23T02:25:09.4919909Z [ RUN      ] QualifiedNameTest.PrefixConstruction
2022-11-23T02:25:09.4920276Z [       OK ] QualifiedNameTest.PrefixConstruction (0 ms)
2022-11-23T02:25:09.4920635Z [ RUN      ] QualifiedNameTest.DottedConstruction
2022-11-23T02:25:09.4921045Z [       OK ] QualifiedNameTest.DottedConstruction (0 ms)
2022-11-23T02:25:09.4921396Z [ RUN      ] QualifiedNameTest.BadInputRaises
2022-11-23T02:25:09.5005442Z [       OK ] QualifiedNameTest.BadInputRaises (8 ms)
2022-11-23T02:25:09.5005899Z [ RUN      ] QualifiedNameTest.Equality
2022-11-23T02:25:09.5006332Z [       OK ] QualifiedNameTest.Equality (0 ms)
2022-11-23T02:25:09.5006651Z [ RUN      ] QualifiedNameTest.IsPrefixOf
2022-11-23T02:25:09.5006977Z [       OK ] QualifiedNameTest.IsPrefixOf (0 ms)
2022-11-23T02:25:09.5007308Z [----------] 5 tests from QualifiedNameTest (8 ms total)
2022-11-23T02:25:09.5007481Z 
2022-11-23T02:25:09.5007642Z [----------] 6 tests from SerializationTest
2022-11-23T02:25:09.5007985Z [ RUN      ] SerializationTest.ExtraFilesHookPreference
2022-11-23T02:25:09.5021605Z [W export_module.cpp:586] Warning: An extra files hook attempted to write metadata.json but this is already written in extra files and so will be skipped. This warning will only appear once per process. (function operator())
2022-11-23T02:25:09.5066487Z [       OK ] SerializationTest.ExtraFilesHookPreference (5 ms)
2022-11-23T02:25:09.5066944Z [ RUN      ] SerializationTest.ExtraFileHooksNoSecret
2022-11-23T02:25:09.5074497Z [       OK ] SerializationTest.ExtraFileHooksNoSecret (0 ms)
2022-11-23T02:25:09.5074979Z [ RUN      ] SerializationTest.ExtraFileHooksWithSecret
2022-11-23T02:25:09.5082407Z [       OK ] SerializationTest.ExtraFileHooksWithSecret (0 ms)
2022-11-23T02:25:09.5082831Z [ RUN      ] SerializationTest.TypeTags
2022-11-23T02:25:09.5102549Z [       OK ] SerializationTest.TypeTags (1 ms)
2022-11-23T02:25:09.5102970Z [ RUN      ] SerializationTest.ParentDirNotExist
2022-11-23T02:25:09.5225291Z [       OK ] SerializationTest.ParentDirNotExist (12 ms)
2022-11-23T02:25:09.5225783Z [ RUN      ] SerializationTest.CalculateNecessaryArgsTest
2022-11-23T02:25:09.5226838Z [       OK ] SerializationTest.CalculateNecessaryArgsTest (0 ms)
2022-11-23T02:25:09.5227527Z [----------] 6 tests from SerializationTest (22 ms total)
2022-11-23T02:25:09.5227763Z 
2022-11-23T02:25:09.5227936Z [----------] 3 tests from TestSourceRoundTrip
2022-11-23T02:25:09.5228277Z [ RUN      ] TestSourceRoundTrip.UpsampleNearest2d
2022-11-23T02:25:09.5369550Z [       OK ] TestSourceRoundTrip.UpsampleNearest2d (14 ms)
2022-11-23T02:25:09.5370034Z [ RUN      ] TestSourceRoundTrip.CheckAttrAccess
2022-11-23T02:25:09.5375088Z [       OK ] TestSourceRoundTrip.CheckAttrAccess (0 ms)
2022-11-23T02:25:09.5375706Z [ RUN      ] TestSourceRoundTrip.MethodInvocation
2022-11-23T02:25:09.5820729Z [       OK ] TestSourceRoundTrip.MethodInvocation (44 ms)
2022-11-23T02:25:09.5821624Z [----------] 3 tests from TestSourceRoundTrip (59 ms total)
2022-11-23T02:25:09.5821914Z 
2022-11-23T02:25:09.5822141Z [----------] 2 tests from FunctionSchemaIsAliasingTest
2022-11-23T02:25:09.5822510Z [ RUN      ] FunctionSchemaIsAliasingTest.Basic
2022-11-23T02:25:09.5823008Z [       OK ] FunctionSchemaIsAliasingTest.Basic (0 ms)
2022-11-23T02:25:09.5823464Z [ RUN      ] FunctionSchemaIsAliasingTest.InvalidArgument
2022-11-23T02:25:09.5867906Z [       OK ] FunctionSchemaIsAliasingTest.InvalidArgument (4 ms)
2022-11-23T02:25:09.5868618Z [----------] 2 tests from FunctionSchemaIsAliasingTest (4 ms total)
2022-11-23T02:25:09.5868811Z 
2022-11-23T02:25:09.5868987Z [----------] 2 tests from FunctionSchemaIsMutableTest
2022-11-23T02:25:09.5869535Z [ RUN      ] FunctionSchemaIsMutableTest.Basic
2022-11-23T02:25:09.5870639Z [       OK ] FunctionSchemaIsMutableTest.Basic (0 ms)
2022-11-23T02:25:09.5871064Z [ RUN      ] FunctionSchemaIsMutableTest.InvalidArgument
2022-11-23T02:25:09.5934125Z [       OK ] FunctionSchemaIsMutableTest.InvalidArgument (6 ms)
2022-11-23T02:25:09.5934594Z [----------] 2 tests from FunctionSchemaIsMutableTest (6 ms total)
2022-11-23T02:25:09.5934772Z 
2022-11-23T02:25:09.5934959Z [----------] 5 tests from SchemaInfoIsMutableTest
2022-11-23T02:25:09.5935276Z [ RUN      ] SchemaInfoIsMutableTest.Basic
2022-11-23T02:25:09.5955393Z [       OK ] SchemaInfoIsMutableTest.Basic (2 ms)
2022-11-23T02:25:09.5955788Z [ RUN      ] SchemaInfoIsMutableTest.InvalidArgument
2022-11-23T02:25:09.6029242Z [       OK ] SchemaInfoIsMutableTest.InvalidArgument (7 ms)
2022-11-23T02:25:09.6029671Z [ RUN      ] SchemaInfoIsMutableTest.AliasingInputs
2022-11-23T02:25:09.6034626Z [       OK ] SchemaInfoIsMutableTest.AliasingInputs (0 ms)
2022-11-23T02:25:09.6034987Z [ RUN      ] SchemaInfoIsMutableTest.InstanceNorm
2022-11-23T02:25:09.6049885Z [       OK ] SchemaInfoIsMutableTest.InstanceNorm (1 ms)
2022-11-23T02:25:09.6050245Z [ RUN      ] SchemaInfoIsMutableTest.BatchNorm
2022-11-23T02:25:09.6054256Z [       OK ] SchemaInfoIsMutableTest.BatchNorm (0 ms)
2022-11-23T02:25:09.6054631Z [----------] 5 tests from SchemaInfoIsMutableTest (12 ms total)
2022-11-23T02:25:09.6054814Z 
2022-11-23T02:25:09.6055018Z [----------] 2 tests from SchemaInfoIsNonDeterministicTest
2022-11-23T02:25:09.6055387Z [ RUN      ] SchemaInfoIsNonDeterministicTest.Basic
2022-11-23T02:25:09.6058008Z [       OK ] SchemaInfoIsNonDeterministicTest.Basic (0 ms)
2022-11-23T02:25:09.6058403Z [ RUN      ] SchemaInfoIsNonDeterministicTest.Dropout
2022-11-23T02:25:09.6059904Z [       OK ] SchemaInfoIsNonDeterministicTest.Dropout (0 ms)
2022-11-23T02:25:09.6060357Z [----------] 2 tests from SchemaInfoIsNonDeterministicTest (0 ms total)
2022-11-23T02:25:09.6060557Z 
2022-11-23T02:25:09.6060735Z [----------] 3 tests from FunctionSchemaMayAliasTest
2022-11-23T02:25:09.6061067Z [ RUN      ] FunctionSchemaMayAliasTest.Basic
2022-11-23T02:25:09.6062836Z [       OK ] FunctionSchemaMayAliasTest.Basic (0 ms)
2022-11-23T02:25:09.6063214Z [ RUN      ] FunctionSchemaMayAliasTest.InvalidArgument
2022-11-23T02:25:09.6115166Z [       OK ] FunctionSchemaMayAliasTest.InvalidArgument (5 ms)
2022-11-23T02:25:09.6115561Z [ RUN      ] FunctionSchemaMayAliasTest.Wildcard
2022-11-23T02:25:09.6117270Z [       OK ] FunctionSchemaMayAliasTest.Wildcard (0 ms)
2022-11-23T02:25:09.6117695Z [----------] 3 tests from FunctionSchemaMayAliasTest (5 ms total)
2022-11-23T02:25:09.6117892Z 
2022-11-23T02:25:09.6118068Z [----------] 7 tests from SchemaInfoMayAliasTest
2022-11-23T02:25:09.6118416Z [ RUN      ] SchemaInfoMayAliasTest.AliasingInputs
2022-11-23T02:25:09.6121053Z [       OK ] SchemaInfoMayAliasTest.AliasingInputs (0 ms)
2022-11-23T02:25:09.6121457Z [ RUN      ] SchemaInfoMayAliasTest.AliasingOutputs
2022-11-23T02:25:09.6126670Z [       OK ] SchemaInfoMayAliasTest.AliasingOutputs (0 ms)
2022-11-23T02:25:09.6127063Z [ RUN      ] SchemaInfoMayAliasTest.AliasingInputOutput
2022-11-23T02:25:09.6130753Z [       OK ] SchemaInfoMayAliasTest.AliasingInputOutput (0 ms)
2022-11-23T02:25:09.6131156Z [ RUN      ] SchemaInfoMayAliasTest.MultipleWildcardInputs
2022-11-23T02:25:09.6136914Z [       OK ] SchemaInfoMayAliasTest.MultipleWildcardInputs (0 ms)
2022-11-23T02:25:09.6137596Z [ RUN      ] SchemaInfoMayAliasTest.MultipleNonWildcardInputs
2022-11-23T02:25:09.6140098Z [W schema_info.cpp:333] Warning: alias::a appears twice in same argument list which will make aliasing checks more conservative. (function operator())
2022-11-23T02:25:09.6141823Z [       OK ] SchemaInfoMayAliasTest.MultipleNonWildcardInputs (0 ms)
2022-11-23T02:25:09.6142559Z [ RUN      ] SchemaInfoMayAliasTest.MultipleNonWildcardOutputs
2022-11-23T02:25:09.6144260Z [W schema_info.cpp:333] Warning: alias::a appears twice in same argument list which will make aliasing checks more conservative. (function operator())
2022-11-23T02:25:09.6145369Z [       OK ] SchemaInfoMayAliasTest.MultipleNonWildcardOutputs (0 ms)
2022-11-23T02:25:09.6145969Z [ RUN      ] SchemaInfoMayAliasTest.MismatchingTypes
2022-11-23T02:25:09.6147092Z [       OK ] SchemaInfoMayAliasTest.MismatchingTypes (0 ms)
2022-11-23T02:25:09.6147794Z [----------] 7 tests from SchemaInfoMayAliasTest (2 ms total)
2022-11-23T02:25:09.6147991Z 
2022-11-23T02:25:09.6148184Z [----------] 3 tests from FunctionSchemaMayContainAliasTest
2022-11-23T02:25:09.6148559Z [ RUN      ] FunctionSchemaMayContainAliasTest.Basic
2022-11-23T02:25:09.6150077Z [       OK ] FunctionSchemaMayContainAliasTest.Basic (0 ms)
2022-11-23T02:25:09.6150748Z [ RUN      ] FunctionSchemaMayContainAliasTest.Wildcard
2022-11-23T02:25:09.6153525Z [       OK ] FunctionSchemaMayContainAliasTest.Wildcard (0 ms)
2022-11-23T02:25:09.6154179Z [ RUN      ] FunctionSchemaMayContainAliasTest.InputAndOutputContainers
2022-11-23T02:25:09.6156144Z [       OK ] FunctionSchemaMayContainAliasTest.InputAndOutputContainers (0 ms)
2022-11-23T02:25:09.6157023Z [----------] 3 tests from FunctionSchemaMayContainAliasTest (0 ms total)
2022-11-23T02:25:09.6157516Z 
2022-11-23T02:25:09.6157889Z [----------] 6 tests from SchemaInfoMayContainAliasTest
2022-11-23T02:25:09.6158412Z [ RUN      ] SchemaInfoMayContainAliasTest.ContainAliasInputsEqual
2022-11-23T02:25:09.6160334Z [       OK ] SchemaInfoMayContainAliasTest.ContainAliasInputsEqual (0 ms)
2022-11-23T02:25:09.6161005Z [ RUN      ] SchemaInfoMayContainAliasTest.ContainAliasInputsContained
2022-11-23T02:25:09.6164606Z [       OK ] SchemaInfoMayContainAliasTest.ContainAliasInputsContained (0 ms)
2022-11-23T02:25:09.6165343Z [ RUN      ] SchemaInfoMayContainAliasTest.ContainAliasOutputs
2022-11-23T02:25:09.6170446Z [       OK ] SchemaInfoMayContainAliasTest.ContainAliasOutputs (0 ms)
2022-11-23T02:25:09.6171072Z [ RUN      ] SchemaInfoMayContainAliasTest.ContainAliasInputOutput
2022-11-23T02:25:09.6175116Z [       OK ] SchemaInfoMayContainAliasTest.ContainAliasInputOutput (0 ms)
2022-11-23T02:25:09.6175755Z [ RUN      ] SchemaInfoMayContainAliasTest.InputAndOutputContainers
2022-11-23T02:25:09.6179816Z [       OK ] SchemaInfoMayContainAliasTest.InputAndOutputContainers (0 ms)
2022-11-23T02:25:09.6180433Z [ RUN      ] SchemaInfoMayContainAliasTest.Wildcard
2022-11-23T02:25:09.6184875Z [       OK ] SchemaInfoMayContainAliasTest.Wildcard (0 ms)
2022-11-23T02:25:09.6185558Z [----------] 6 tests from SchemaInfoMayContainAliasTest (2 ms total)
2022-11-23T02:25:09.6185753Z 
2022-11-23T02:25:09.6185923Z [----------] 2 tests from SchemaMatchingTest
2022-11-23T02:25:09.6186212Z [ RUN      ] SchemaMatchingTest.VarType
2022-11-23T02:25:09.6224266Z [       OK ] SchemaMatchingTest.VarType (3 ms)
2022-11-23T02:25:09.6224584Z [ RUN      ] SchemaMatchingTest.VarType2
2022-11-23T02:25:09.6260279Z [       OK ] SchemaMatchingTest.VarType2 (3 ms)
2022-11-23T02:25:09.6260732Z [----------] 2 tests from SchemaMatchingTest (7 ms total)
2022-11-23T02:25:09.6260909Z 
2022-11-23T02:25:09.6261137Z [----------] 6 tests from StackOptTest
2022-11-23T02:25:09.6261428Z [ RUN      ] StackOptTest.UseVariadicStack
2022-11-23T02:25:09.6896129Z [       OK ] StackOptTest.UseVariadicStack (63 ms)
2022-11-23T02:25:09.6896754Z [ RUN      ] StackOptTest.UseVariadicStackReplaceMultiple
2022-11-23T02:25:09.7176921Z [       OK ] StackOptTest.UseVariadicStackReplaceMultiple (27 ms)
2022-11-23T02:25:09.7177923Z [ RUN      ] StackOptTest.UseVariadicStackWithMultipleListUses
2022-11-23T02:25:09.7336659Z [       OK ] StackOptTest.UseVariadicStackWithMultipleListUses (15 ms)
2022-11-23T02:25:09.7337443Z [ RUN      ] StackOptTest.UseVariadicStackWithListMutationAfterCat
2022-11-23T02:25:09.7653624Z [       OK ] StackOptTest.UseVariadicStackWithListMutationAfterCat (31 ms)
2022-11-23T02:25:09.7654445Z [ RUN      ] StackOptTest.UseVariadicStackWithListMutationBeforeCat
2022-11-23T02:25:09.7930708Z [       OK ] StackOptTest.UseVariadicStackWithListMutationBeforeCat (27 ms)
2022-11-23T02:25:09.7931240Z [ RUN      ] StackOptTest.UseVariadicStackWithMultipleListMutations
2022-11-23T02:25:09.8498233Z [       OK ] StackOptTest.UseVariadicStackWithMultipleListMutations (56 ms)
2022-11-23T02:25:09.8499013Z [----------] 6 tests from StackOptTest (223 ms total)
2022-11-23T02:25:09.8499241Z 
2022-11-23T02:25:09.8499515Z [----------] 16 tests from SubgraphMatcherTest
2022-11-23T02:25:09.8500002Z [ RUN      ] SubgraphMatcherTest.Trivial1
2022-11-23T02:25:09.8503440Z [       OK ] SubgraphMatcherTest.Trivial1 (0 ms)
2022-11-23T02:25:09.8503968Z [ RUN      ] SubgraphMatcherTest.Trivial2
2022-11-23T02:25:09.8504577Z [       OK ] SubgraphMatcherTest.Trivial2 (0 ms)
2022-11-23T02:25:09.8505054Z [ RUN      ] SubgraphMatcherTest.Trivial3
2022-11-23T02:25:09.8511312Z [       OK ] SubgraphMatcherTest.Trivial3 (0 ms)
2022-11-23T02:25:09.8511825Z [ RUN      ] SubgraphMatcherTest.Trivial4
2022-11-23T02:25:09.8512321Z [       OK ] SubgraphMatcherTest.Trivial4 (0 ms)
2022-11-23T02:25:09.8512791Z [ RUN      ] SubgraphMatcherTest.Linear1
2022-11-23T02:25:09.8519627Z [       OK ] SubgraphMatcherTest.Linear1 (0 ms)
2022-11-23T02:25:09.8520144Z [ RUN      ] SubgraphMatcherTest.Linear2
2022-11-23T02:25:09.8521352Z [       OK ] SubgraphMatcherTest.Linear2 (0 ms)
2022-11-23T02:25:09.8521857Z [ RUN      ] SubgraphMatcherTest.Diamond1
2022-11-23T02:25:09.8532736Z [       OK ] SubgraphMatcherTest.Diamond1 (1 ms)
2022-11-23T02:25:09.8533275Z [ RUN      ] SubgraphMatcherTest.Diamond2
2022-11-23T02:25:09.8534891Z [       OK ] SubgraphMatcherTest.Diamond2 (0 ms)
2022-11-23T02:25:09.8535396Z [ RUN      ] SubgraphMatcherTest.XPattern
2022-11-23T02:25:09.8544353Z [       OK ] SubgraphMatcherTest.XPattern (0 ms)
2022-11-23T02:25:09.8544957Z [ RUN      ] SubgraphMatcherTest.MultipleMatches
2022-11-23T02:25:09.8549984Z [       OK ] SubgraphMatcherTest.MultipleMatches (0 ms)
2022-11-23T02:25:09.8550621Z [ RUN      ] SubgraphMatcherTest.OverlappingMatches
2022-11-23T02:25:09.8556144Z [       OK ] SubgraphMatcherTest.OverlappingMatches (0 ms)
2022-11-23T02:25:09.8556745Z [ RUN      ] SubgraphMatcherTest.MatchInBasicBlocks1
2022-11-23T02:25:09.8566058Z [       OK ] SubgraphMatcherTest.MatchInBasicBlocks1 (0 ms)
2022-11-23T02:25:09.8566700Z [ RUN      ] SubgraphMatcherTest.MatchInBasicBlocks2
2022-11-23T02:25:09.8574239Z [       OK ] SubgraphMatcherTest.MatchInBasicBlocks2 (0 ms)
2022-11-23T02:25:09.8574856Z [ RUN      ] SubgraphMatcherTest.MatchesAttributes
2022-11-23T02:25:09.8593554Z [       OK ] SubgraphMatcherTest.MatchesAttributes (1 ms)
2022-11-23T02:25:09.8594139Z [ RUN      ] SubgraphMatcherTest.BadPattern
2022-11-23T02:25:09.8660104Z [       OK ] SubgraphMatcherTest.BadPattern (6 ms)
2022-11-23T02:25:09.8660679Z [ RUN      ] SubgraphMatcherTest.MultiOutput
2022-11-23T02:25:09.8673272Z [       OK ] SubgraphMatcherTest.MultiOutput (1 ms)
2022-11-23T02:25:09.8674160Z [----------] 16 tests from SubgraphMatcherTest (17 ms total)
2022-11-23T02:25:09.8674450Z 
2022-11-23T02:25:09.8674735Z [----------] 4 tests from SubgraphRewriterTest
2022-11-23T02:25:09.8675373Z [ RUN      ] SubgraphRewriterTest.FilterMatch
2022-11-23T02:25:09.8694047Z [       OK ] SubgraphRewriterTest.FilterMatch (2 ms)
2022-11-23T02:25:09.8694645Z [ RUN      ] SubgraphRewriterTest.FilterNoMatch
2022-11-23T02:25:09.8702653Z [       OK ] SubgraphRewriterTest.FilterNoMatch (0 ms)
2022-11-23T02:25:09.8703228Z [ RUN      ] SubgraphRewriterTest.MultiOutput
2022-11-23T02:25:09.8743693Z [       OK ] SubgraphRewriterTest.MultiOutput (4 ms)
2022-11-23T02:25:09.8744286Z [ RUN      ] SubgraphRewriterTest.OutputType
2022-11-23T02:25:09.8760003Z [       OK ] SubgraphRewriterTest.OutputType (1 ms)
2022-11-23T02:25:09.8760621Z [----------] 4 tests from SubgraphRewriterTest (8 ms total)
2022-11-23T02:25:09.8760925Z 
2022-11-23T02:25:09.8761185Z [----------] 3 tests from SubgraphUtilsTest
2022-11-23T02:25:09.8761675Z [ RUN      ] SubgraphUtilsTest.Basic
2022-11-23T02:25:09.8790489Z [       OK ] SubgraphUtilsTest.Basic (2 ms)
2022-11-23T02:25:09.8791058Z [ RUN      ] SubgraphUtilsTest.MergeSubgraphs
2022-11-23T02:25:09.8815452Z [       OK ] SubgraphUtilsTest.MergeSubgraphs (2 ms)
2022-11-23T02:25:09.8816033Z [ RUN      ] SubgraphUtilsTest.GraphName
2022-11-23T02:25:09.8822000Z [       OK ] SubgraphUtilsTest.GraphName (0 ms)
2022-11-23T02:25:09.8822573Z [----------] 3 tests from SubgraphUtilsTest (6 ms total)
2022-11-23T02:25:09.8822824Z 
2022-11-23T02:25:09.8823074Z [----------] 8 tests from UnionTypeTest
2022-11-23T02:25:09.8823592Z [ RUN      ] UnionTypeTest.UnionOperatorEquals
2022-11-23T02:25:09.8824178Z [       OK ] UnionTypeTest.UnionOperatorEquals (0 ms)
2022-11-23T02:25:09.8824805Z [ RUN      ] UnionTypeTest.UnionCreate_OptionalT1AndOptionalT2
2022-11-23T02:25:09.8825457Z [       OK ] UnionTypeTest.UnionCreate_OptionalT1AndOptionalT2 (0 ms)
2022-11-23T02:25:09.8826066Z [ RUN      ] UnionTypeTest.UnionCreate_OptionalTAndT
2022-11-23T02:25:09.8826673Z [       OK ] UnionTypeTest.UnionCreate_OptionalTAndT (0 ms)
2022-11-23T02:25:09.8827303Z [ RUN      ] UnionTypeTest.UnionCreate_TupleWithSubtypingRelationship
2022-11-23T02:25:09.8828030Z [       OK ] UnionTypeTest.UnionCreate_TupleWithSubtypingRelationship (0 ms)
2022-11-23T02:25:09.8828655Z [ RUN      ] UnionTypeTest.UnionCreate_ContainerTAndT
2022-11-23T02:25:09.8829227Z [       OK ] UnionTypeTest.UnionCreate_ContainerTAndT (0 ms)
2022-11-23T02:25:09.8829881Z [ RUN      ] UnionTypeTest.UnionCreate_OptionalContainerTAndContainerTAndT
2022-11-23T02:25:09.8830633Z [       OK ] UnionTypeTest.UnionCreate_OptionalContainerTAndContainerTAndT (0 ms)
2022-11-23T02:25:09.8831268Z [ RUN      ] UnionTypeTest.Subtyping_NumberType
2022-11-23T02:25:09.8831808Z [       OK ] UnionTypeTest.Subtyping_NumberType (0 ms)
2022-11-23T02:25:09.8832333Z [ RUN      ] UnionTypeTest.Subtyping_OptionalType
2022-11-23T02:25:09.8832933Z [       OK ] UnionTypeTest.Subtyping_OptionalType (0 ms)
2022-11-23T02:25:09.8833490Z [----------] 8 tests from UnionTypeTest (1 ms total)
2022-11-23T02:25:09.8833726Z 
2022-11-23T02:25:09.8834004Z [----------] 2 tests from ScriptProfileTest
2022-11-23T02:25:09.8834485Z [ RUN      ] ScriptProfileTest.Basic
2022-11-23T02:25:09.8838100Z [       OK ] ScriptProfileTest.Basic (0 ms)
2022-11-23T02:25:09.8838654Z [ RUN      ] ScriptProfileTest.CallingOrder
2022-11-23T02:25:09.8898048Z [       OK ] ScriptProfileTest.CallingOrder (5 ms)
2022-11-23T02:25:09.8898735Z [----------] 2 tests from ScriptProfileTest (6 ms total)
2022-11-23T02:25:09.8899288Z 
2022-11-23T02:25:09.8899571Z [----------] 7 tests from ShapeAnalysisTest
2022-11-23T02:25:09.8900083Z [ RUN      ] ShapeAnalysisTest.DynamicShapesFusion
2022-11-23T02:25:09.9485559Z [       OK ] ShapeAnalysisTest.DynamicShapesFusion (58 ms)
2022-11-23T02:25:09.9486593Z [ RUN      ] ShapeAnalysisTest.MovingConstantOutOfFusionGroups
2022-11-23T02:25:09.9618760Z [       OK ] ShapeAnalysisTest.MovingConstantOutOfFusionGroups (13 ms)
2022-11-23T02:25:09.9619458Z [ RUN      ] ShapeAnalysisTest.SymbolicShapeAPI
2022-11-23T02:25:10.0152946Z [       OK ] ShapeAnalysisTest.SymbolicShapeAPI (53 ms)
2022-11-23T02:25:10.0153372Z [ RUN      ] ShapeAnalysisTest.BoundedSymbolicShapes
2022-11-23T02:25:10.0259457Z [       OK ] ShapeAnalysisTest.BoundedSymbolicShapes (10 ms)
2022-11-23T02:25:10.0259854Z [ RUN      ] ShapeAnalysisTest.SymbolicShapeCaching
2022-11-23T02:25:10.0325778Z [       OK ] ShapeAnalysisTest.SymbolicShapeCaching (6 ms)
2022-11-23T02:25:10.0326177Z [ RUN      ] ShapeAnalysisTest.ShapeCacheMultipleFns
2022-11-23T02:25:10.0559316Z [       OK ] ShapeAnalysisTest.ShapeCacheMultipleFns (23 ms)
2022-11-23T02:25:10.0559732Z [ RUN      ] ShapeAnalysisTest.TestShapeMultipleReturns
2022-11-23T02:25:10.0648162Z [       OK ] ShapeAnalysisTest.TestShapeMultipleReturns (8 ms)
2022-11-23T02:25:10.0648852Z [----------] 7 tests from ShapeAnalysisTest (174 ms total)
2022-11-23T02:25:10.0649126Z 
2022-11-23T02:25:10.0649386Z [----------] 5 tests from JitLoggingTest
2022-11-23T02:25:10.0649933Z [ RUN      ] JitLoggingTest.CheckSetLoggingLevel
2022-11-23T02:25:10.0650528Z [       OK ] JitLoggingTest.CheckSetLoggingLevel (0 ms)
2022-11-23T02:25:10.0651208Z [ RUN      ] JitLoggingTest.CheckSetMultipleLogLevels
2022-11-23T02:25:10.0651838Z [       OK ] JitLoggingTest.CheckSetMultipleLogLevels (0 ms)
2022-11-23T02:25:10.0652428Z [ RUN      ] JitLoggingTest.CheckLoggingLevelAfterUnset
2022-11-23T02:25:10.0653048Z [       OK ] JitLoggingTest.CheckLoggingLevelAfterUnset (0 ms)
2022-11-23T02:25:10.0653530Z [ RUN      ] JitLoggingTest.CheckAfterChangingLevel
2022-11-23T02:25:10.0653980Z [       OK ] JitLoggingTest.CheckAfterChangingLevel (0 ms)
2022-11-23T02:25:10.0654359Z [ RUN      ] JitLoggingTest.CheckOutputStreamSetting
2022-11-23T02:25:10.0654754Z [       OK ] JitLoggingTest.CheckOutputStreamSetting (0 ms)
2022-11-23T02:25:10.0655115Z [----------] 5 tests from JitLoggingTest (0 ms total)
2022-11-23T02:25:10.0655271Z 
2022-11-23T02:25:10.0655423Z [----------] 9 tests from FileFormatTest
2022-11-23T02:25:10.0655784Z [ RUN      ] FileFormatTest.IdentifiesFlatbufferStream
2022-11-23T02:25:10.0656407Z [       OK ] FileFormatTest.IdentifiesFlatbufferStream (0 ms)
2022-11-23T02:25:10.0657034Z [ RUN      ] FileFormatTest.IdentifiesZipStream
2022-11-23T02:25:10.0657661Z [       OK ] FileFormatTest.IdentifiesZipStream (0 ms)
2022-11-23T02:25:10.0658204Z [ RUN      ] FileFormatTest.FlatbufferTakesPrecedence
2022-11-23T02:25:10.0658740Z [       OK ] FileFormatTest.FlatbufferTakesPrecedence (0 ms)
2022-11-23T02:25:10.0659115Z [ RUN      ] FileFormatTest.HandlesUnknownStream
2022-11-23T02:25:10.0659454Z [       OK ] FileFormatTest.HandlesUnknownStream (0 ms)
2022-11-23T02:25:10.0659803Z [ RUN      ] FileFormatTest.ShortStreamIsUnknown
2022-11-23T02:25:10.0660156Z [       OK ] FileFormatTest.ShortStreamIsUnknown (0 ms)
2022-11-23T02:25:10.0660505Z [ RUN      ] FileFormatTest.EmptyStreamIsUnknown
2022-11-23T02:25:10.0660844Z [       OK ] FileFormatTest.EmptyStreamIsUnknown (0 ms)
2022-11-23T02:25:10.0661186Z [ RUN      ] FileFormatTest.BadStreamIsUnknown
2022-11-23T02:25:10.0661539Z [       OK ] FileFormatTest.BadStreamIsUnknown (0 ms)
2022-11-23T02:25:10.0662121Z [ RUN      ] FileFormatTest.StreamOffsetIsObservedAndRestored
2022-11-23T02:25:10.0662561Z [       OK ] FileFormatTest.StreamOffsetIsObservedAndRestored (0 ms)
2022-11-23T02:25:10.0663002Z [ RUN      ] FileFormatTest.HandlesMissingFile
2022-11-23T02:25:10.0663350Z [       OK ] FileFormatTest.HandlesMissingFile (0 ms)
2022-11-23T02:25:10.0663679Z [----------] 9 tests from FileFormatTest (0 ms total)
2022-11-23T02:25:10.0663830Z 
2022-11-23T02:25:10.0663982Z [----------] 35 tests from FlatbufferTest
2022-11-23T02:25:10.0664292Z [ RUN      ] FlatbufferTest.UpsampleNearest2d
2022-11-23T02:25:10.0760294Z [       OK ] FlatbufferTest.UpsampleNearest2d (10 ms)
2022-11-23T02:25:10.0760730Z [ RUN      ] FlatbufferTest.UpsampleNearest2dWithCopyTensorMemory
2022-11-23T02:25:10.0863242Z [       OK ] FlatbufferTest.UpsampleNearest2dWithCopyTensorMemory (10 ms)
2022-11-23T02:25:10.0863737Z [ RUN      ] FlatbufferTest.CheckAttrAccess
2022-11-23T02:25:10.0865080Z [       OK ] FlatbufferTest.CheckAttrAccess (0 ms)
2022-11-23T02:25:10.0865418Z [ RUN      ] FlatbufferTest.MethodInvocation
2022-11-23T02:25:10.1037038Z [       OK ] FlatbufferTest.MethodInvocation (17 ms)
2022-11-23T02:25:10.1037573Z [ RUN      ] FlatbufferTest.FlatbufferBackPortTest
2022-11-23T02:25:10.1286921Z [       OK ] FlatbufferTest.FlatbufferBackPortTest (24 ms)
2022-11-23T02:25:10.1287303Z [ RUN      ] FlatbufferTest.ExtraFiles
2022-11-23T02:25:10.1310863Z [       OK ] FlatbufferTest.ExtraFiles (2 ms)
2022-11-23T02:25:10.1311164Z [ RUN      ] FlatbufferTest.Conv
2022-11-23T02:25:10.1403590Z [       OK ] FlatbufferTest.Conv (9 ms)
2022-11-23T02:25:10.1403933Z [ RUN      ] FlatbufferTest.ConvWithCopyTensorMemory
2022-11-23T02:25:10.1491258Z [       OK ] FlatbufferTest.ConvWithCopyTensorMemory (8 ms)
2022-11-23T02:25:10.1491620Z [ RUN      ] FlatbufferTest.Inline
2022-11-23T02:25:10.1542092Z [       OK ] FlatbufferTest.Inline (5 ms)
2022-11-23T02:25:10.1542472Z [ RUN      ] FlatbufferTest.InlineWithCopyTensorMemory
2022-11-23T02:25:10.1590383Z [       OK ] FlatbufferTest.InlineWithCopyTensorMemory (4 ms)
2022-11-23T02:25:10.1590726Z [ RUN      ] FlatbufferTest.Tuple
2022-11-23T02:25:10.1625364Z [       OK ] FlatbufferTest.Tuple (3 ms)
2022-11-23T02:25:10.1625676Z [ RUN      ] FlatbufferTest.Dict
2022-11-23T02:25:10.1660142Z [       OK ] FlatbufferTest.Dict (3 ms)
2022-11-23T02:25:10.1660439Z [ RUN      ] FlatbufferTest.Prim
2022-11-23T02:25:10.1686405Z [       OK ] FlatbufferTest.Prim (2 ms)
2022-11-23T02:25:10.1686774Z [ RUN      ] FlatbufferTest.PrimScalar
2022-11-23T02:25:10.1715932Z [       OK ] FlatbufferTest.PrimScalar (2 ms)
2022-11-23T02:25:10.1716256Z [ RUN      ] FlatbufferTest.WrongMethodName
2022-11-23T02:25:10.1798063Z [       OK ] FlatbufferTest.WrongMethodName (8 ms)
2022-11-23T02:25:10.1798378Z [ RUN      ] FlatbufferTest.SetState
2022-11-23T02:25:10.1989293Z [       OK ] FlatbufferTest.SetState (19 ms)
2022-11-23T02:25:10.1989633Z [ RUN      ] FlatbufferTest.BuiltinClass
2022-11-23T02:25:10.2033511Z [       OK ] FlatbufferTest.BuiltinClass (4 ms)
2022-11-23T02:25:10.2033856Z [ RUN      ] FlatbufferTest.BuiltinFunction
2022-11-23T02:25:10.2050722Z [       OK ] FlatbufferTest.BuiltinFunction (1 ms)
2022-11-23T02:25:10.2051073Z [ RUN      ] FlatbufferTest.Eval
2022-11-23T02:25:10.2094809Z [       OK ] FlatbufferTest.Eval (4 ms)
2022-11-23T02:25:10.2095203Z [ RUN      ] FlatbufferTest.FindWrongMethodName
2022-11-23T02:25:10.2113947Z [       OK ] FlatbufferTest.FindWrongMethodName (1 ms)
2022-11-23T02:25:10.2114316Z [ RUN      ] FlatbufferTest.FindAndRunMethod
2022-11-23T02:25:10.2162842Z [       OK ] FlatbufferTest.FindAndRunMethod (4 ms)
2022-11-23T02:25:10.2163206Z [ RUN      ] FlatbufferTest.RunMethodVariadic
2022-11-23T02:25:10.2205771Z [       OK ] FlatbufferTest.RunMethodVariadic (4 ms)
2022-11-23T02:25:10.2206257Z [ RUN      ] FlatbufferTest.DuplicateSetState
2022-11-23T02:25:10.2270832Z [       OK ] FlatbufferTest.DuplicateSetState (6 ms)
2022-11-23T02:25:10.2271211Z [ RUN      ] FlatbufferTest.OpNameExportFetchRootOperators
2022-11-23T02:25:10.2311524Z [       OK ] FlatbufferTest.OpNameExportFetchRootOperators (4 ms)
2022-11-23T02:25:10.2311902Z [ RUN      ] FlatbufferTest.DefaultArgsConv
2022-11-23T02:25:10.2379031Z [       OK ] FlatbufferTest.DefaultArgsConv (6 ms)
2022-11-23T02:25:10.2379385Z [ RUN      ] FlatbufferTest.DefaultArgsPinv
2022-11-23T02:25:10.2628243Z [       OK ] FlatbufferTest.DefaultArgsPinv (24 ms)
2022-11-23T02:25:10.2628696Z [ RUN      ] FlatbufferTest.DefaultArgsTensorinvSpecifyDefault
2022-11-23T02:25:10.2696485Z [       OK ] FlatbufferTest.DefaultArgsTensorinvSpecifyDefault (6 ms)
2022-11-23T02:25:10.2696917Z [ RUN      ] FlatbufferTest.DefaultArgsPinvWithOutArg
2022-11-23T02:25:10.2816577Z [       OK ] FlatbufferTest.DefaultArgsPinvWithOutArg (11 ms)
2022-11-23T02:25:10.2817227Z [ RUN      ] FlatbufferTest.DefaultArgsWithOutArg
2022-11-23T02:25:10.2884991Z [       OK ] FlatbufferTest.DefaultArgsWithOutArg (6 ms)
2022-11-23T02:25:10.2885430Z [ RUN      ] FlatbufferTest.OperatorCacheDifferentiatesDefaultArgs
2022-11-23T02:25:10.3070061Z [       OK ] FlatbufferTest.OperatorCacheDifferentiatesDefaultArgs (18 ms)
2022-11-23T02:25:10.3070458Z [ RUN      ] FlatbufferTest.OperatorSize1
2022-11-23T02:25:10.3088667Z [       OK ] FlatbufferTest.OperatorSize1 (1 ms)
2022-11-23T02:25:10.3089066Z [ RUN      ] FlatbufferTest.BoolAndDoubleList
2022-11-23T02:25:10.3093079Z [       OK ] FlatbufferTest.BoolAndDoubleList (0 ms)
2022-11-23T02:25:10.3093402Z [ RUN      ] FlatbufferTest.OperatorTest2
2022-11-23T02:25:10.3172884Z [       OK ] FlatbufferTest.OperatorTest2 (7 ms)
2022-11-23T02:25:10.3173492Z [ RUN      ] FlatbufferTest.DetachedBufferSmoke
2022-11-23T02:25:10.3174021Z [       OK ] FlatbufferTest.DetachedBufferSmoke (0 ms)
2022-11-23T02:25:10.3174365Z [ RUN      ] FlatbufferTest.DetachedBufferNullOwner
2022-11-23T02:25:10.3174745Z [       OK ] FlatbufferTest.DetachedBufferNullOwner (0 ms)
2022-11-23T02:25:10.3175110Z [----------] 35 tests from FlatbufferTest (251 ms total)
2022-11-23T02:25:10.3175268Z 
2022-11-23T02:25:10.3175440Z [----------] 3 tests from TestSourceFlatbuffer
2022-11-23T02:25:10.3175765Z [ RUN      ] TestSourceFlatbuffer.UpsampleNearest2d
2022-11-23T02:25:10.3332882Z [       OK ] TestSourceFlatbuffer.UpsampleNearest2d (15 ms)
2022-11-23T02:25:10.3333549Z [ RUN      ] TestSourceFlatbuffer.CheckAttrAccess
2022-11-23T02:25:10.3340309Z [       OK ] TestSourceFlatbuffer.CheckAttrAccess (0 ms)
2022-11-23T02:25:10.3340961Z [ RUN      ] TestSourceFlatbuffer.MethodInvocation
2022-11-23T02:25:10.3844867Z [       OK ] TestSourceFlatbuffer.MethodInvocation (50 ms)
2022-11-23T02:25:10.3845550Z [----------] 3 tests from TestSourceFlatbuffer (67 ms total)
2022-11-23T02:25:10.3845725Z 
2022-11-23T02:25:10.3845894Z [----------] 10 tests from FlatbufferUpgraderTest
2022-11-23T02:25:10.3846230Z [ RUN      ] FlatbufferUpgraderTest.DivTensorV2
2022-11-23T02:25:10.3849948Z [       OK ] FlatbufferUpgraderTest.DivTensorV2 (0 ms)
2022-11-23T02:25:10.3850556Z [ RUN      ] FlatbufferUpgraderTest.DivTensorOutV2
2022-11-23T02:25:10.3854313Z [       OK ] FlatbufferUpgraderTest.DivTensorOutV2 (0 ms)
2022-11-23T02:25:10.3855117Z [ RUN      ] FlatbufferUpgraderTest.DivTensorInplaceV2
2022-11-23T02:25:10.3858676Z [       OK ] FlatbufferUpgraderTest.DivTensorInplaceV2 (0 ms)
2022-11-23T02:25:10.3859286Z [ RUN      ] FlatbufferUpgraderTest.DivScalarFloatV2
2022-11-23T02:25:10.3863259Z [       OK ] FlatbufferUpgraderTest.DivScalarFloatV2 (0 ms)
2022-11-23T02:25:10.3863852Z [ RUN      ] FlatbufferUpgraderTest.DivScalarReciprocalFloatV2
2022-11-23T02:25:10.3867474Z [       OK ] FlatbufferUpgraderTest.DivScalarReciprocalFloatV2 (0 ms)
2022-11-23T02:25:10.3868124Z [ RUN      ] FlatbufferUpgraderTest.DivScalarReciprocalIntV2
2022-11-23T02:25:10.3871699Z [       OK ] FlatbufferUpgraderTest.DivScalarReciprocalIntV2 (0 ms)
2022-11-23T02:25:10.3872326Z [ RUN      ] FlatbufferUpgraderTest.DivScalarScalarV2
2022-11-23T02:25:10.3874686Z [       OK ] FlatbufferUpgraderTest.DivScalarScalarV2 (0 ms)
2022-11-23T02:25:10.3875160Z [ RUN      ] FlatbufferUpgraderTest.DivScalarIntV2
2022-11-23T02:25:10.3878278Z [       OK ] FlatbufferUpgraderTest.DivScalarIntV2 (0 ms)
2022-11-23T02:25:10.3878906Z [ RUN      ] FlatbufferUpgraderTest.DivScalarInplaceFloatV2
2022-11-23T02:25:10.3882263Z [       OK ] FlatbufferUpgraderTest.DivScalarInplaceFloatV2 (0 ms)
2022-11-23T02:25:10.3882905Z [ RUN      ] FlatbufferUpgraderTest.DivScalarInplaceIntV2
2022-11-23T02:25:10.3886462Z [       OK ] FlatbufferUpgraderTest.DivScalarInplaceIntV2 (0 ms)
2022-11-23T02:25:10.3887135Z [----------] 10 tests from FlatbufferUpgraderTest (4 ms total)
2022-11-23T02:25:10.3887305Z 
2022-11-23T02:25:10.3887539Z [----------] 12 tests from AliasAnalysisTest/BatchAndInstanceNormFixture
2022-11-23T02:25:10.3887996Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/0
2022-11-23T02:25:10.3895022Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/0 (0 ms)
2022-11-23T02:25:10.3895677Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/1
2022-11-23T02:25:10.3901877Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/1 (0 ms)
2022-11-23T02:25:10.3902528Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/2
2022-11-23T02:25:10.3908736Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/2 (0 ms)
2022-11-23T02:25:10.3909404Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/3
2022-11-23T02:25:10.3915344Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/3 (0 ms)
2022-11-23T02:25:10.3916066Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/0
2022-11-23T02:25:10.3922631Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/0 (0 ms)
2022-11-23T02:25:10.3923362Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/1
2022-11-23T02:25:10.3928932Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/1 (0 ms)
2022-11-23T02:25:10.3929637Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/2
2022-11-23T02:25:10.3935125Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/2 (0 ms)
2022-11-23T02:25:10.3935863Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/3
2022-11-23T02:25:10.3941450Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/3 (0 ms)
2022-11-23T02:25:10.3942131Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/0
2022-11-23T02:25:10.3948060Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/0 (0 ms)
2022-11-23T02:25:10.3948752Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/1
2022-11-23T02:25:10.3954067Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/1 (0 ms)
2022-11-23T02:25:10.3954709Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/2
2022-11-23T02:25:10.3960119Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/2 (0 ms)
2022-11-23T02:25:10.3960825Z [ RUN      ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/3
2022-11-23T02:25:10.3966078Z [       OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/3 (0 ms)
2022-11-23T02:25:10.3966800Z [----------] 12 tests from AliasAnalysisTest/BatchAndInstanceNormFixture (7 ms total)
2022-11-23T02:25:10.3967016Z 
2022-11-23T02:25:10.3967264Z [----------] 10 tests from PyTorch/LiteInterpreterDynamicTypeTestFixture
2022-11-23T02:25:10.3967716Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/0
2022-11-23T02:25:20.4024303Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/0 (10005 ms)
2022-11-23T02:25:20.4024820Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/1
2022-11-23T02:25:35.0031141Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/1 (14600 ms)
2022-11-23T02:25:35.0031664Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/2
2022-11-23T02:25:53.1831493Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/2 (18180 ms)
2022-11-23T02:25:53.1832011Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/3
2022-11-23T02:26:10.7140845Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/3 (17530 ms)
2022-11-23T02:26:10.7141425Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/4
2022-11-23T02:26:28.3609317Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/4 (17646 ms)
2022-11-23T02:26:28.3610185Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/5
2022-11-23T02:26:46.1879549Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/5 (17826 ms)
2022-11-23T02:26:46.1880068Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/6
2022-11-23T02:27:03.8902262Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/6 (17702 ms)
2022-11-23T02:27:03.8902798Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/7
2022-11-23T02:27:21.5700681Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/7 (17679 ms)
2022-11-23T02:27:21.5701227Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/8
2022-11-23T02:27:37.9520297Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/8 (16381 ms)
2022-11-23T02:27:37.9520842Z [ RUN      ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/9
2022-11-23T02:27:55.0487230Z [       OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/9 (17096 ms)
2022-11-23T02:27:55.0487874Z [----------] 10 tests from PyTorch/LiteInterpreterDynamicTypeTestFixture (164651 ms total)
2022-11-23T02:27:55.0488172Z 
2022-11-23T02:27:55.0489885Z [----------] Global test environment tear-down
2022-11-23T02:27:55.0710135Z [==========] 567 tests from 117 test suites ran. (171026 ms total)
2022-11-23T02:27:55.0710455Z [  PASSED  ] 567 tests.
2022-11-23T02:27:55.5230138Z + [[ linux-focal-py3.7-clang7-asan == *cuda* ]]
2022-11-23T02:27:55.5230624Z + /opt/conda/lib/python3.7/site-packages/torch/bin/test_lazy --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/test_lazy.xml
2022-11-23T02:27:57.6941331Z CUDA not available. Disabling CUDA and MultiCUDA tests
2022-11-23T02:27:57.6951948Z Note: Google Test filter = *-*_CUDA:*_MultiCUDA
2022-11-23T02:27:57.6952675Z [==========] Running 612 tests from 10 test suites.
2022-11-23T02:27:57.6953242Z [----------] Global test environment set-up.
2022-11-23T02:27:57.6953798Z [----------] 11 tests from BackendDeviceTest
2022-11-23T02:27:57.6954269Z [ RUN      ] BackendDeviceTest.BackendDeviceType
2022-11-23T02:27:57.6954841Z [       OK ] BackendDeviceTest.BackendDeviceType (0 ms)
2022-11-23T02:27:57.6955272Z [ RUN      ] BackendDeviceTest.Basic1
2022-11-23T02:27:57.6955637Z [       OK ] BackendDeviceTest.Basic1 (0 ms)
2022-11-23T02:27:57.6955919Z [ RUN      ] BackendDeviceTest.Basic2
2022-11-23T02:27:57.6956227Z [       OK ] BackendDeviceTest.Basic2 (0 ms)
2022-11-23T02:27:57.6956526Z [ RUN      ] BackendDeviceTest.Basic3
2022-11-23T02:27:57.6956808Z [       OK ] BackendDeviceTest.Basic3 (0 ms)
2022-11-23T02:27:57.6957092Z [ RUN      ] BackendDeviceTest.Basic4
2022-11-23T02:27:57.6957576Z [       OK ] BackendDeviceTest.Basic4 (0 ms)
2022-11-23T02:27:57.6957856Z [ RUN      ] BackendDeviceTest.Compare
2022-11-23T02:27:57.6958160Z [       OK ] BackendDeviceTest.Compare (0 ms)
2022-11-23T02:27:57.6958455Z [ RUN      ] BackendDeviceTest.Ostream
2022-11-23T02:27:57.6958751Z [       OK ] BackendDeviceTest.Ostream (0 ms)
2022-11-23T02:27:57.6959035Z [ RUN      ] BackendDeviceTest.FromAten
2022-11-23T02:27:57.7038716Z [       OK ] BackendDeviceTest.FromAten (8 ms)
2022-11-23T02:27:57.7039124Z [ RUN      ] BackendDeviceTest.ToAten
2022-11-23T02:27:57.7039410Z [       OK ] BackendDeviceTest.ToAten (0 ms)
2022-11-23T02:27:57.7039744Z [ RUN      ] BackendDeviceTest.GetBackendDevice1
2022-11-23T02:27:57.7253354Z [       OK ] BackendDeviceTest.GetBackendDevice1 (21 ms)
2022-11-23T02:27:57.7253854Z [ RUN      ] BackendDeviceTest.GetBackendDevice2
2022-11-23T02:27:57.7254504Z [       OK ] BackendDeviceTest.GetBackendDevice2 (0 ms)
2022-11-23T02:27:57.7254904Z [----------] 11 tests from BackendDeviceTest (30 ms total)
2022-11-23T02:27:57.7255177Z 
2022-11-23T02:27:57.7255452Z [----------] 2 tests from CacheTest
2022-11-23T02:27:57.7255893Z [ RUN      ] CacheTest.BasicTest
2022-11-23T02:27:57.7256173Z [       OK ] CacheTest.BasicTest (0 ms)
2022-11-23T02:27:57.7256615Z [ RUN      ] CacheTest.ShapeCacheTestForDynamicShape
2022-11-23T02:27:57.7257154Z [       OK ] CacheTest.ShapeCacheTestForDynamicShape (0 ms)
2022-11-23T02:27:57.7257494Z [----------] 2 tests from CacheTest (0 ms total)
2022-11-23T02:27:57.7257648Z 
2022-11-23T02:27:57.7257790Z [----------] 5 tests from IrTest
2022-11-23T02:27:57.7258040Z [ RUN      ] IrTest.BasicTest
2022-11-23T02:27:57.7258358Z [       OK ] IrTest.BasicTest (0 ms)
2022-11-23T02:27:57.7258619Z [ RUN      ] IrTest.MetaDataTest
2022-11-23T02:27:57.7272909Z [       OK ] IrTest.MetaDataTest (1 ms)
2022-11-23T02:27:57.7273283Z [ RUN      ] IrTest.TsNodeTest
2022-11-23T02:27:57.7273548Z [       OK ] IrTest.TsNodeTest (0 ms)
2022-11-23T02:27:57.7273832Z [ RUN      ] IrTest.DimensionNodeTest
2022-11-23T02:27:57.7275125Z [       OK ] IrTest.DimensionNodeTest (0 ms)
2022-11-23T02:27:57.7275585Z [ RUN      ] IrTest.DimensionIsDynamicTest
2022-11-23T02:27:57.7276240Z [       OK ] IrTest.DimensionIsDynamicTest (0 ms)
2022-11-23T02:27:57.7276815Z [----------] 5 tests from IrTest (1 ms total)
2022-11-23T02:27:57.7277072Z 
2022-11-23T02:27:57.7277435Z [----------] 2 tests from IrUtilTest
2022-11-23T02:27:57.7278143Z [ RUN      ] IrUtilTest.BasicTest
2022-11-23T02:27:57.7278619Z [       OK ] IrUtilTest.BasicTest (0 ms)
2022-11-23T02:27:57.7278900Z [ RUN      ] IrUtilTest.TestCircle
2022-11-23T02:27:57.7338228Z [       OK ] IrUtilTest.TestCircle (5 ms)
2022-11-23T02:27:57.7338757Z [----------] 2 tests from IrUtilTest (6 ms total)
2022-11-23T02:27:57.7338911Z 
2022-11-23T02:27:57.7339059Z [----------] 2 tests from HashTest
2022-11-23T02:27:57.7339311Z [ RUN      ] HashTest.Scalar
2022-11-23T02:27:57.7339560Z [       OK ] HashTest.Scalar (0 ms)
2022-11-23T02:27:57.7339811Z [ RUN      ] HashTest.Sanity
2022-11-23T02:27:57.7341163Z [       OK ] HashTest.Sanity (0 ms)
2022-11-23T02:27:57.7341489Z [----------] 2 tests from HashTest (0 ms total)
2022-11-23T02:27:57.7341636Z 
2022-11-23T02:27:57.7341806Z [----------] 3 tests from PermutationUtilTest
2022-11-23T02:27:57.7342155Z [ RUN      ] PermutationUtilTest.TestInversePermutation
2022-11-23T02:27:57.7394755Z [       OK ] PermutationUtilTest.TestInversePermutation (5 ms)
2022-11-23T02:27:57.7395150Z [ RUN      ] PermutationUtilTest.TestIsPermutation
2022-11-23T02:27:57.7395521Z [       OK ] PermutationUtilTest.TestIsPermutation (0 ms)
2022-11-23T02:27:57.7395867Z [ RUN      ] PermutationUtilTest.TestPermute
2022-11-23T02:27:57.7462092Z [       OK ] PermutationUtilTest.TestPermute (6 ms)
2022-11-23T02:27:57.7462479Z [----------] 3 tests from PermutationUtilTest (12 ms total)
2022-11-23T02:27:57.7462652Z 
2022-11-23T02:27:57.7462795Z [----------] 7 tests from ShapeTest
2022-11-23T02:27:57.7463052Z [ RUN      ] ShapeTest.Basic1
2022-11-23T02:27:57.7481634Z [       OK ] ShapeTest.Basic1 (1 ms)
2022-11-23T02:27:57.7482046Z [ RUN      ] ShapeTest.Basic2
2022-11-23T02:27:57.7482504Z [       OK ] ShapeTest.Basic2 (0 ms)
2022-11-23T02:27:57.7482941Z [ RUN      ] ShapeTest.Basic3
2022-11-23T02:27:57.7483438Z [       OK ] ShapeTest.Basic3 (0 ms)
2022-11-23T02:27:57.7483827Z [ RUN      ] ShapeTest.SetScalarType
2022-11-23T02:27:57.7484272Z [       OK ] ShapeTest.SetScalarType (0 ms)
2022-11-23T02:27:57.7484636Z [ RUN      ] ShapeTest.SetSize
2022-11-23T02:27:57.7484952Z [       OK ] ShapeTest.SetSize (0 ms)
2022-11-23T02:27:57.7485207Z [ RUN      ] ShapeTest.Equal
2022-11-23T02:27:57.7485489Z [       OK ] ShapeTest.Equal (0 ms)
2022-11-23T02:27:57.7485811Z [ RUN      ] ShapeTest.Ostream
2022-11-23T02:27:57.7486099Z [       OK ] ShapeTest.Ostream (0 ms)
2022-11-23T02:27:57.7486466Z [----------] 7 tests from ShapeTest (2 ms total)
2022-11-23T02:27:57.7486685Z 
2022-11-23T02:27:57.7486905Z [----------] 2 tests from TrieCacheTest
2022-11-23T02:27:57.7487308Z [ RUN      ] TrieCacheTest.TestSinglePath
2022-11-23T02:27:57.7487820Z [       OK ] TrieCacheTest.TestSinglePath (0 ms)
2022-11-23T02:27:57.7488332Z [ RUN      ] TrieCacheTest.TestTwoPaths
2022-11-23T02:27:57.7488785Z [       OK ] TrieCacheTest.TestTwoPaths (0 ms)
2022-11-23T02:27:57.7489139Z [----------] 2 tests from TrieCacheTest (0 ms total)
2022-11-23T02:27:57.7489401Z 
2022-11-23T02:27:57.7489604Z [----------] 3 tests from UtilTest
2022-11-23T02:27:57.7489935Z [ RUN      ] UtilTest.ExceptionCleanup
2022-11-23T02:27:57.7490287Z [       OK ] UtilTest.ExceptionCleanup (0 ms)
2022-11-23T02:27:57.7490560Z [ RUN      ] UtilTest.MaybeRef
2022-11-23T02:27:57.7490917Z [       OK ] UtilTest.MaybeRef (0 ms)
2022-11-23T02:27:57.7491277Z [ RUN      ] UtilTest.Iota
2022-11-23T02:27:57.7491552Z [       OK ] UtilTest.Iota (0 ms)
2022-11-23T02:27:57.7492064Z [----------] 3 tests from UtilTest (0 ms total)
2022-11-23T02:27:57.7492331Z 
2022-11-23T02:27:57.7492742Z [----------] 575 tests from LazyOpsTest
2022-11-23T02:27:57.7498451Z [ RUN      ] LazyOpsTest.TestScalarTensor
2022-11-23T02:27:57.8203439Z [       OK ] LazyOpsTest.TestScalarTensor (70 ms)
2022-11-23T02:27:57.8203857Z [ RUN      ] LazyOpsTest.TestClone
2022-11-23T02:27:57.8226153Z [       OK ] LazyOpsTest.TestClone (2 ms)
2022-11-23T02:27:57.8226555Z [ RUN      ] LazyOpsTest.TestTo
2022-11-23T02:27:57.8231414Z [       OK ] LazyOpsTest.TestTo (0 ms)
2022-11-23T02:27:57.8231984Z [ RUN      ] LazyOpsTest.TestIsFloatingPoint
2022-11-23T02:27:57.8233422Z [       OK ] LazyOpsTest.TestIsFloatingPoint (0 ms)
2022-11-23T02:27:57.8233979Z [ RUN      ] LazyOpsTest.TestIsSigned
2022-11-23T02:27:57.8235008Z [       OK ] LazyOpsTest.TestIsSigned (0 ms)
2022-11-23T02:27:57.8235558Z [ RUN      ] LazyOpsTest.TestCastByte
2022-11-23T02:27:58.1491250Z [       OK ] LazyOpsTest.TestCastByte (325 ms)
2022-11-23T02:27:58.1491707Z [ RUN      ] LazyOpsTest.TestCastChar
2022-11-23T02:27:58.1512732Z [       OK ] LazyOpsTest.TestCastChar (2 ms)
2022-11-23T02:27:58.1513339Z [ RUN      ] LazyOpsTest.TestCastShort
2022-11-23T02:27:58.1533724Z [       OK ] LazyOpsTest.TestCastShort (2 ms)
2022-11-23T02:27:58.1534283Z [ RUN      ] LazyOpsTest.TestCastInt
2022-11-23T02:27:58.1554011Z [       OK ] LazyOpsTest.TestCastInt (1 ms)
2022-11-23T02:27:58.1554337Z [ RUN      ] LazyOpsTest.TestCastLong
2022-11-23T02:27:58.1572854Z [       OK ] LazyOpsTest.TestCastLong (1 ms)
2022-11-23T02:27:58.1573239Z [ RUN      ] LazyOpsTest.TestCastFloat
2022-11-23T02:27:58.1576382Z [       OK ] LazyOpsTest.TestCastFloat (0 ms)
2022-11-23T02:27:58.1576748Z [ RUN      ] LazyOpsTest.TestRetainType
2022-11-23T02:27:58.1626661Z [       OK ] LazyOpsTest.TestRetainType (4 ms)
2022-11-23T02:27:58.1627044Z [ RUN      ] LazyOpsTest.TestLogicalTypeWithInterop
2022-11-23T02:27:58.1779120Z [       OK ] LazyOpsTest.TestLogicalTypeWithInterop (15 ms)
2022-11-23T02:27:58.1779518Z [ RUN      ] LazyOpsTest.TestAdd
2022-11-23T02:27:58.1823288Z [       OK ] LazyOpsTest.TestAdd (4 ms)
2022-11-23T02:27:58.1823617Z [ RUN      ] LazyOpsTest.TestAddHalf
2022-11-23T02:27:58.1859696Z [       OK ] LazyOpsTest.TestAddHalf (3 ms)
2022-11-23T02:27:58.1860053Z [ RUN      ] LazyOpsTest.TestAddMixedPrecision
2022-11-23T02:27:58.1883469Z [       OK ] LazyOpsTest.TestAddMixedPrecision (2 ms)
2022-11-23T02:27:58.1883880Z [ RUN      ] LazyOpsTest.TestAddInPlace
2022-11-23T02:27:58.1928678Z [       OK ] LazyOpsTest.TestAddInPlace (4 ms)
2022-11-23T02:27:58.1928998Z [ RUN      ] LazyOpsTest.TestAddScalar
2022-11-23T02:27:58.1952074Z [       OK ] LazyOpsTest.TestAddScalar (2 ms)
2022-11-23T02:27:58.1952408Z [ RUN      ] LazyOpsTest.TestAddScalarInPlace
2022-11-23T02:27:58.1990550Z [       OK ] LazyOpsTest.TestAddScalarInPlace (3 ms)
2022-11-23T02:27:58.1990891Z [ RUN      ] LazyOpsTest.TestAddZeroSizeDim
2022-11-23T02:27:58.2012659Z [       OK ] LazyOpsTest.TestAddZeroSizeDim (2 ms)
2022-11-23T02:27:58.2012972Z [ RUN      ] LazyOpsTest.TestSub
2022-11-23T02:27:58.2065079Z [       OK ] LazyOpsTest.TestSub (5 ms)
2022-11-23T02:27:58.2065379Z [ RUN      ] LazyOpsTest.TestSubInPlace
2022-11-23T02:27:58.2103659Z [       OK ] LazyOpsTest.TestSubInPlace (3 ms)
2022-11-23T02:27:58.2103972Z [ RUN      ] LazyOpsTest.TestSubScalar
2022-11-23T02:27:58.2126091Z [       OK ] LazyOpsTest.TestSubScalar (2 ms)
2022-11-23T02:27:58.2126400Z [ RUN      ] LazyOpsTest.TestSubScalarInPlace
2022-11-23T02:27:58.2162344Z [       OK ] LazyOpsTest.TestSubScalarInPlace (3 ms)
2022-11-23T02:27:58.2162652Z [ RUN      ] LazyOpsTest.TestMul
2022-11-23T02:27:58.2223475Z [       OK ] LazyOpsTest.TestMul (6 ms)
2022-11-23T02:27:58.2223779Z [ RUN      ] LazyOpsTest.TestMulInPlace
2022-11-23T02:27:58.2260237Z [       OK ] LazyOpsTest.TestMulInPlace (3 ms)
2022-11-23T02:27:58.2260547Z [ RUN      ] LazyOpsTest.TestMulScalar
2022-11-23T02:27:58.2282404Z [       OK ] LazyOpsTest.TestMulScalar (2 ms)
2022-11-23T02:27:58.2282738Z [ RUN      ] LazyOpsTest.TestMulScalarInPlace
2022-11-23T02:27:58.2319432Z [       OK ] LazyOpsTest.TestMulScalarInPlace (3 ms)
2022-11-23T02:27:58.2319776Z [ RUN      ] LazyOpsTest.TestDiv
2022-11-23T02:27:58.3044914Z [       OK ] LazyOpsTest.TestDiv (72 ms)
2022-11-23T02:27:58.3045495Z [ RUN      ] LazyOpsTest.TestDivWithRoundingMode
2022-11-23T02:27:58.5345006Z [       OK ] LazyOpsTest.TestDivWithRoundingMode (230 ms)
2022-11-23T02:27:58.5345600Z [ RUN      ] LazyOpsTest.TestDivInPlace
2022-11-23T02:27:58.5375734Z [       OK ] LazyOpsTest.TestDivInPlace (3 ms)
2022-11-23T02:27:58.5376379Z [ RUN      ] LazyOpsTest.TestDivInPlaceWithRoundingMode
2022-11-23T02:27:58.5472537Z [       OK ] LazyOpsTest.TestDivInPlaceWithRoundingMode (9 ms)
2022-11-23T02:27:58.5473142Z [ RUN      ] LazyOpsTest.TestDivScalar
2022-11-23T02:27:58.5693645Z [       OK ] LazyOpsTest.TestDivScalar (22 ms)
2022-11-23T02:27:58.5694228Z [ RUN      ] LazyOpsTest.TestDivScalarInPlace
2022-11-23T02:27:58.5750244Z [       OK ] LazyOpsTest.TestDivScalarInPlace (5 ms)
2022-11-23T02:27:58.5750739Z [ RUN      ] LazyOpsTest.TestDivOut
2022-11-23T02:27:58.5779590Z [       OK ] LazyOpsTest.TestDivOut (2 ms)
2022-11-23T02:27:58.5780141Z [ RUN      ] LazyOpsTest.TestRsubScalar
2022-11-23T02:27:58.5800966Z [       OK ] LazyOpsTest.TestRsubScalar (2 ms)
2022-11-23T02:27:58.5801502Z [ RUN      ] LazyOpsTest.TestNe
2022-11-23T02:27:58.5860736Z [       OK ] LazyOpsTest.TestNe (5 ms)
2022-11-23T02:27:58.5861285Z [ RUN      ] LazyOpsTest.TestNeInplace
2022-11-23T02:27:58.5893416Z [       OK ] LazyOpsTest.TestNeInplace (3 ms)
2022-11-23T02:27:58.5893943Z [ RUN      ] LazyOpsTest.TestEq
2022-11-23T02:27:58.5911949Z [       OK ] LazyOpsTest.TestEq (1 ms)
2022-11-23T02:27:58.5912511Z [ RUN      ] LazyOpsTest.TestEqInplace
2022-11-23T02:27:58.5943245Z [       OK ] LazyOpsTest.TestEqInplace (3 ms)
2022-11-23T02:27:58.5943755Z [ RUN      ] LazyOpsTest.TestGe
2022-11-23T02:27:58.5976137Z [       OK ] LazyOpsTest.TestGe (3 ms)
2022-11-23T02:27:58.5976665Z [ RUN      ] LazyOpsTest.TestGeInplace
2022-11-23T02:27:58.6008805Z [       OK ] LazyOpsTest.TestGeInplace (3 ms)
2022-11-23T02:27:58.6009322Z [ RUN      ] LazyOpsTest.TestLe
2022-11-23T02:27:58.6038151Z [       OK ] LazyOpsTest.TestLe (2 ms)
2022-11-23T02:27:58.6038692Z [ RUN      ] LazyOpsTest.TestLeInplace
2022-11-23T02:27:58.6068711Z [       OK ] LazyOpsTest.TestLeInplace (3 ms)
2022-11-23T02:27:58.6069221Z [ RUN      ] LazyOpsTest.TestGt
2022-11-23T02:27:58.6087688Z [       OK ] LazyOpsTest.TestGt (1 ms)
2022-11-23T02:27:58.6088234Z [ RUN      ] LazyOpsTest.TestGtInplace
2022-11-23T02:27:58.6117882Z [       OK ] LazyOpsTest.TestGtInplace (2 ms)
2022-11-23T02:27:58.6118412Z [ RUN      ] LazyOpsTest.TestLt
2022-11-23T02:27:58.6148183Z [       OK ] LazyOpsTest.TestLt (3 ms)
2022-11-23T02:27:58.6148709Z [ RUN      ] LazyOpsTest.TestLtInplace
2022-11-23T02:27:58.6190485Z [       OK ] LazyOpsTest.TestLtInplace (4 ms)
2022-11-23T02:27:58.6191054Z [ RUN      ] LazyOpsTest.TestNeScalar
2022-11-23T02:27:58.6206919Z [       OK ] LazyOpsTest.TestNeScalar (1 ms)
2022-11-23T02:27:58.6207456Z [ RUN      ] LazyOpsTest.TestEqScalar
2022-11-23T02:27:58.6223999Z [       OK ] LazyOpsTest.TestEqScalar (1 ms)
2022-11-23T02:27:58.6224719Z [ RUN      ] LazyOpsTest.TestGeScalar
2022-11-23T02:27:58.6241147Z [       OK ] LazyOpsTest.TestGeScalar (1 ms)
2022-11-23T02:27:58.6241745Z [ RUN      ] LazyOpsTest.TestGeScalarInplace
2022-11-23T02:27:58.6269793Z [       OK ] LazyOpsTest.TestGeScalarInplace (2 ms)
2022-11-23T02:27:58.6270264Z [ RUN      ] LazyOpsTest.TestLeScalar
2022-11-23T02:27:58.6286082Z [       OK ] LazyOpsTest.TestLeScalar (1 ms)
2022-11-23T02:27:58.6286662Z [ RUN      ] LazyOpsTest.TestLeScalarInplace
2022-11-23T02:27:58.6312817Z [       OK ] LazyOpsTest.TestLeScalarInplace (2 ms)
2022-11-23T02:27:58.6313377Z [ RUN      ] LazyOpsTest.TestGtScalar
2022-11-23T02:27:58.6329834Z [       OK ] LazyOpsTest.TestGtScalar (1 ms)
2022-11-23T02:27:58.6330426Z [ RUN      ] LazyOpsTest.TestGtScalarInplace
2022-11-23T02:27:58.6356919Z [       OK ] LazyOpsTest.TestGtScalarInplace (2 ms)
2022-11-23T02:27:58.6357653Z [ RUN      ] LazyOpsTest.TestLtScalar
2022-11-23T02:27:58.6373877Z [       OK ] LazyOpsTest.TestLtScalar (1 ms)
2022-11-23T02:27:58.6374468Z [ RUN      ] LazyOpsTest.TestLtScalarInplace
2022-11-23T02:27:58.6401051Z [       OK ] LazyOpsTest.TestLtScalarInplace (2 ms)
2022-11-23T02:27:58.6401608Z [ RUN      ] LazyOpsTest.TestIntegerAdd
2022-11-23T02:27:58.6488250Z [       OK ] LazyOpsTest.TestIntegerAdd (8 ms)
2022-11-23T02:27:58.6488782Z [ RUN      ] LazyOpsTest.TestSVD
2022-11-23T02:27:58.6776637Z [       OK ] LazyOpsTest.TestSVD (28 ms)
2022-11-23T02:27:58.6777164Z [ RUN      ] LazyOpsTest.TestQR
2022-11-23T02:27:58.6777723Z [W BatchLinearAlgebra.cpp:2458] Warning: torch.qr is deprecated in favor of torch.linalg.qr and will be removed in a future PyTorch release.
2022-11-23T02:27:58.6778249Z The boolean parameter 'some' has been replaced with a string parameter 'mode'.
2022-11-23T02:27:58.6778525Z Q, R = torch.qr(A, some)
2022-11-23T02:27:58.6778705Z should be replaced with
2022-11-23T02:27:58.6779040Z Q, R = torch.linalg.qr(A, 'reduced' if some else 'complete') (function operator())
2022-11-23T02:27:58.6917002Z [       OK ] LazyOpsTest.TestQR (14 ms)
2022-11-23T02:27:58.6917676Z [ RUN      ] LazyOpsTest.TestSymEig
2022-11-23T02:27:58.6919697Z [W BatchLinearAlgebra.cpp:2909] Warning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release.
2022-11-23T02:27:58.6920546Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion.
2022-11-23T02:27:58.6920894Z L, _ = torch.symeig(A, upper=upper)
2022-11-23T02:27:58.6921086Z should be replaced with
2022-11-23T02:27:58.6921386Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L')
2022-11-23T02:27:58.6921599Z and
2022-11-23T02:27:58.6921772Z L, V = torch.symeig(A, eigenvectors=True)
2022-11-23T02:27:58.6921988Z should be replaced with
2022-11-23T02:27:58.6922303Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (function operator())
2022-11-23T02:27:58.7034082Z [       OK ] LazyOpsTest.TestSymEig (11 ms)
2022-11-23T02:27:58.7034403Z [ RUN      ] LazyOpsTest.TestCholesky
2022-11-23T02:27:58.7039871Z [W BatchLinearAlgebra.cpp:1729] Warning: torch.cholesky is deprecated in favor of torch.linalg.cholesky and will be removed in a future PyTorch release.
2022-11-23T02:27:58.7040470Z L = torch.cholesky(A)
2022-11-23T02:27:58.7040823Z should be replaced with
2022-11-23T02:27:58.7041028Z L = torch.linalg.cholesky(A)
2022-11-23T02:27:58.7041211Z and
2022-11-23T02:27:58.7041374Z U = torch.cholesky(A, upper=True)
2022-11-23T02:27:58.7041576Z should be replaced with
2022-11-23T02:27:58.7041783Z U = torch.linalg.cholesky(A).mH().
2022-11-23T02:27:58.7042094Z This transform will produce equivalent results for all valid (symmetric positive definite) inputs. (function operator())
2022-11-23T02:27:58.7094136Z [       OK ] LazyOpsTest.TestCholesky (6 ms)
2022-11-23T02:27:58.7094458Z [ RUN      ] LazyOpsTest.TestLogDet
2022-11-23T02:27:58.7193575Z [       OK ] LazyOpsTest.TestLogDet (9 ms)
2022-11-23T02:27:58.7193884Z [ RUN      ] LazyOpsTest.TestTriangularSolve
2022-11-23T02:27:58.7197737Z [W BatchLinearAlgebra.cpp:2224] Warning: torch.triangular_solve is deprecated in favor of torch.linalg.solve_triangularand will be removed in a future PyTorch release.
2022-11-23T02:27:58.7198210Z torch.linalg.solve_triangular has its arguments reversed and does not return a copy of one of the inputs.
2022-11-23T02:27:58.7198515Z X = torch.triangular_solve(B, A).solution
2022-11-23T02:27:58.7198717Z should be replaced with
2022-11-23T02:27:58.7198961Z X = torch.linalg.solve_triangular(A, B). (function operator())
2022-11-23T02:27:58.9103053Z [       OK ] LazyOpsTest.TestTriangularSolve (190 ms)
2022-11-23T02:27:58.9103377Z [ RUN      ] LazyOpsTest.TestKthValue
2022-11-23T02:27:58.9403812Z [       OK ] LazyOpsTest.TestKthValue (30 ms)
2022-11-23T02:27:58.9404112Z [ RUN      ] LazyOpsTest.TestTopK
2022-11-23T02:27:59.0768625Z [       OK ] LazyOpsTest.TestTopK (136 ms)
2022-11-23T02:27:59.0768970Z [ RUN      ] LazyOpsTest.TestSort
2022-11-23T02:27:59.1394551Z [       OK ] LazyOpsTest.TestSort (62 ms)
2022-11-23T02:27:59.1394900Z [ RUN      ] LazyOpsTest.TestSortDescWithMinValue
2022-11-23T02:27:59.1440932Z [       OK ] LazyOpsTest.TestSortDescWithMinValue (4 ms)
2022-11-23T02:27:59.1441264Z [ RUN      ] LazyOpsTest.TestArgSort
2022-11-23T02:27:59.1555351Z [       OK ] LazyOpsTest.TestArgSort (11 ms)
2022-11-23T02:27:59.1555631Z [ RUN      ] LazyOpsTest.TestMin
2022-11-23T02:27:59.1578839Z [       OK ] LazyOpsTest.TestMin (2 ms)
2022-11-23T02:27:59.1579122Z [ RUN      ] LazyOpsTest.TestMax
2022-11-23T02:27:59.1610860Z [       OK ] LazyOpsTest.TestMax (3 ms)
2022-11-23T02:27:59.1611156Z [ RUN      ] LazyOpsTest.TestUnaryMin
2022-11-23T02:27:59.1628866Z [       OK ] LazyOpsTest.TestUnaryMin (1 ms)
2022-11-23T02:27:59.1629175Z [ RUN      ] LazyOpsTest.TestUnaryMax
2022-11-23T02:27:59.1645934Z [       OK ] LazyOpsTest.TestUnaryMax (1 ms)
2022-11-23T02:27:59.1646233Z [ RUN      ] LazyOpsTest.TestAll
2022-11-23T02:27:59.1750629Z [       OK ] LazyOpsTest.TestAll (10 ms)
2022-11-23T02:27:59.1750922Z [ RUN      ] LazyOpsTest.TestAllDim
2022-11-23T02:27:59.1772047Z [       OK ] LazyOpsTest.TestAllDim (2 ms)
2022-11-23T02:27:59.1772407Z [ RUN      ] LazyOpsTest.TestAllDimKeep
2022-11-23T02:27:59.1792829Z [       OK ] LazyOpsTest.TestAllDimKeep (2 ms)
2022-11-23T02:27:59.1793204Z [ RUN      ] LazyOpsTest.TestAmax
2022-11-23T02:27:59.2150887Z [       OK ] LazyOpsTest.TestAmax (35 ms)
2022-11-23T02:27:59.2151181Z [ RUN      ] LazyOpsTest.TestAmin
2022-11-23T02:27:59.2499803Z [       OK ] LazyOpsTest.TestAmin (34 ms)
2022-11-23T02:27:59.2583656Z [ RUN      ] LazyOpsTest.TestAny
2022-11-23T02:27:59.2584197Z [       OK ] LazyOpsTest.TestAny (8 ms)
2022-11-23T02:27:59.2584533Z [ RUN      ] LazyOpsTest.TestAnyDim
2022-11-23T02:27:59.2604481Z [       OK ] LazyOpsTest.TestAnyDim (2 ms)
2022-11-23T02:27:59.2605036Z [ RUN      ] LazyOpsTest.TestAnyDimKeep
2022-11-23T02:27:59.2623312Z [       OK ] LazyOpsTest.TestAnyDimKeep (1 ms)
2022-11-23T02:27:59.2623858Z [ RUN      ] LazyOpsTest.TestMean
2022-11-23T02:27:59.2644870Z [       OK ] LazyOpsTest.TestMean (2 ms)
2022-11-23T02:27:59.2645434Z [ RUN      ] LazyOpsTest.TestMeanCast
2022-11-23T02:27:59.2664354Z [       OK ] LazyOpsTest.TestMeanCast (1 ms)
2022-11-23T02:27:59.2664908Z [ RUN      ] LazyOpsTest.TestMeanInDim
2022-11-23T02:27:59.2814586Z [       OK ] LazyOpsTest.TestMeanInDim (14 ms)
2022-11-23T02:27:59.2815328Z [ RUN      ] LazyOpsTest.TestMeanInDims
2022-11-23T02:27:59.2858540Z [       OK ] LazyOpsTest.TestMeanInDims (4 ms)
2022-11-23T02:27:59.2859225Z [ RUN      ] LazyOpsTest.TestMeanInDimsKeepCast
2022-11-23T02:27:59.2903097Z [       OK ] LazyOpsTest.TestMeanInDimsKeepCast (4 ms)
2022-11-23T02:27:59.2903599Z [ RUN      ] LazyOpsTest.TestMeanInDimOut
2022-11-23T02:27:59.3034586Z [       OK ] LazyOpsTest.TestMeanInDimOut (13 ms)
2022-11-23T02:27:59.3035114Z [ RUN      ] LazyOpsTest.TestStd
2022-11-23T02:27:59.3090335Z [       OK ] LazyOpsTest.TestStd (5 ms)
2022-11-23T02:27:59.3090832Z [ RUN      ] LazyOpsTest.TestStdInDim
2022-11-23T02:27:59.3622030Z [       OK ] LazyOpsTest.TestStdInDim (53 ms)
2022-11-23T02:27:59.3622624Z [ RUN      ] LazyOpsTest.TestStdWithCorrection
2022-11-23T02:27:59.3877003Z [       OK ] LazyOpsTest.TestStdWithCorrection (25 ms)
2022-11-23T02:27:59.3877735Z [ RUN      ] LazyOpsTest.TestStdMeanWithCorrection
2022-11-23T02:27:59.3999520Z [       OK ] LazyOpsTest.TestStdMeanWithCorrection (12 ms)
2022-11-23T02:27:59.3999879Z [ RUN      ] LazyOpsTest.TestSum
2022-11-23T02:27:59.4020642Z [       OK ] LazyOpsTest.TestSum (2 ms)
2022-11-23T02:27:59.4021094Z [ RUN      ] LazyOpsTest.TestSumCast
2022-11-23T02:27:59.4040158Z [       OK ] LazyOpsTest.TestSumCast (1 ms)
2022-11-23T02:27:59.4040678Z [ RUN      ] LazyOpsTest.TestSumU8
2022-11-23T02:27:59.4055496Z [       OK ] LazyOpsTest.TestSumU8 (1 ms)
2022-11-23T02:27:59.4056010Z [ RUN      ] LazyOpsTest.TestSumInDim
2022-11-23T02:27:59.4181227Z [       OK ] LazyOpsTest.TestSumInDim (12 ms)
2022-11-23T02:27:59.4181690Z [ RUN      ] LazyOpsTest.TestSumInDims
2022-11-23T02:27:59.4221951Z [       OK ] LazyOpsTest.TestSumInDims (4 ms)
2022-11-23T02:27:59.4222481Z [ RUN      ] LazyOpsTest.TestSumInDimsKeep
2022-11-23T02:27:59.4264057Z [       OK ] LazyOpsTest.TestSumInDimsKeep (4 ms)
2022-11-23T02:27:59.4264633Z [ RUN      ] LazyOpsTest.TestSumInDimsKeepCast
2022-11-23T02:27:59.4304992Z [       OK ] LazyOpsTest.TestSumInDimsKeepCast (4 ms)
2022-11-23T02:27:59.4305542Z [ RUN      ] LazyOpsTest.TestVar
2022-11-23T02:27:59.4324046Z [       OK ] LazyOpsTest.TestVar (1 ms)
2022-11-23T02:27:59.4324606Z [ RUN      ] LazyOpsTest.TestVarWithDim
2022-11-23T02:27:59.4378669Z [       OK ] LazyOpsTest.TestVarWithDim (5 ms)
2022-11-23T02:27:59.4379286Z [ RUN      ] LazyOpsTest.TestVarWithCorrection
2022-11-23T02:27:59.4454288Z [       OK ] LazyOpsTest.TestVarWithCorrection (7 ms)
2022-11-23T02:27:59.4454839Z [ RUN      ] LazyOpsTest.TestVarMeanWithCorrection
2022-11-23T02:27:59.4576104Z [       OK ] LazyOpsTest.TestVarMeanWithCorrection (12 ms)
2022-11-23T02:27:59.4576665Z [ RUN      ] LazyOpsTest.TestMaxInDim
2022-11-23T02:27:59.5039621Z [       OK ] LazyOpsTest.TestMaxInDim (46 ms)
2022-11-23T02:27:59.5040150Z [ RUN      ] LazyOpsTest.TestMinInDim
2022-11-23T02:27:59.5149644Z [       OK ] LazyOpsTest.TestMinInDim (10 ms)
2022-11-23T02:27:59.5150193Z [ RUN      ] LazyOpsTest.TestNorm
2022-11-23T02:27:59.5199202Z [       OK ] LazyOpsTest.TestNorm (4 ms)
2022-11-23T02:27:59.5199775Z [ RUN      ] LazyOpsTest.TestNormInDim
2022-11-23T02:27:59.5243926Z [       OK ] LazyOpsTest.TestNormInDim (4 ms)
2022-11-23T02:27:59.5244494Z [ RUN      ] LazyOpsTest.TestNormInDims
2022-11-23T02:27:59.5285434Z [       OK ] LazyOpsTest.TestNormInDims (4 ms)
2022-11-23T02:27:59.5286022Z [ RUN      ] LazyOpsTest.TestNormInDimsKeep
2022-11-23T02:27:59.5327197Z [       OK ] LazyOpsTest.TestNormInDimsKeep (4 ms)
2022-11-23T02:27:59.5327763Z [ RUN      ] LazyOpsTest.TestNormalTwoTensor
2022-11-23T02:27:59.5367178Z [       OK ] LazyOpsTest.TestNormalTwoTensor (3 ms)
2022-11-23T02:27:59.5367779Z [ RUN      ] LazyOpsTest.TestNormalDoubleMean
2022-11-23T02:27:59.5421489Z [       OK ] LazyOpsTest.TestNormalDoubleMean (5 ms)
2022-11-23T02:27:59.5422191Z [ RUN      ] LazyOpsTest.TestNormalDoubleStd
2022-11-23T02:27:59.5433420Z [       OK ] LazyOpsTest.TestNormalDoubleStd (1 ms)
2022-11-23T02:27:59.5433998Z [ RUN      ] LazyOpsTest.TestNormalInPlace
2022-11-23T02:27:59.5452118Z [       OK ] LazyOpsTest.TestNormalInPlace (1 ms)
2022-11-23T02:27:59.5452726Z [ RUN      ] LazyOpsTest.TestUniformInPlace
2022-11-23T02:27:59.5468620Z [       OK ] LazyOpsTest.TestUniformInPlace (1 ms)
2022-11-23T02:27:59.5469203Z [ RUN      ] LazyOpsTest.TestRandomInPlace
2022-11-23T02:27:59.5881156Z [       OK ] LazyOpsTest.TestRandomInPlace (41 ms)
2022-11-23T02:27:59.5881685Z [ RUN      ] LazyOpsTest.TestRandomInPlaceDefaultFrom
2022-11-23T02:27:59.6256294Z [       OK ] LazyOpsTest.TestRandomInPlaceDefaultFrom (37 ms)
2022-11-23T02:27:59.6257019Z [ RUN      ] LazyOpsTest.TestRandomInPlaceDefault
2022-11-23T02:27:59.6364894Z [       OK ] LazyOpsTest.TestRandomInPlaceDefault (10 ms)
2022-11-23T02:27:59.6365561Z [ RUN      ] LazyOpsTest.TestNormGeneral
2022-11-23T02:27:59.6387733Z [       OK ] LazyOpsTest.TestNormGeneral (2 ms)
2022-11-23T02:27:59.6388280Z [ RUN      ] LazyOpsTest.TestNormNuclear
2022-11-23T02:27:59.6420836Z [       OK ] LazyOpsTest.TestNormNuclear (3 ms)
2022-11-23T02:27:59.6421386Z [ RUN      ] LazyOpsTest.TestFrobeniusNorm
2022-11-23T02:27:59.6430268Z [       OK ] LazyOpsTest.TestFrobeniusNorm (0 ms)
2022-11-23T02:27:59.6430848Z [ RUN      ] LazyOpsTest.TestFrobeniusNormInDim
2022-11-23T02:27:59.6492691Z [       OK ] LazyOpsTest.TestFrobeniusNormInDim (6 ms)
2022-11-23T02:27:59.6493377Z [ RUN      ] LazyOpsTest.TestFrobeniusNormInDims
2022-11-23T02:27:59.6572616Z [       OK ] LazyOpsTest.TestFrobeniusNormInDims (7 ms)
2022-11-23T02:27:59.6573248Z [ RUN      ] LazyOpsTest.TestGroupNorm
2022-11-23T02:27:59.6934557Z [       OK ] LazyOpsTest.TestGroupNorm (36 ms)
2022-11-23T02:27:59.6935151Z [ RUN      ] LazyOpsTest.TestGroupNormBackward
2022-11-23T02:28:00.0245618Z [       OK ] LazyOpsTest.TestGroupNormBackward (331 ms)
2022-11-23T02:28:00.0246283Z [ RUN      ] LazyOpsTest.TestInstanceNorm
2022-11-23T02:28:00.0462515Z [       OK ] LazyOpsTest.TestInstanceNorm (21 ms)
2022-11-23T02:28:00.0463152Z [ RUN      ] LazyOpsTest.TestLayerNorm
2022-11-23T02:28:00.0916654Z [       OK ] LazyOpsTest.TestLayerNorm (45 ms)
2022-11-23T02:28:00.0917450Z [ RUN      ] LazyOpsTest.TestLayerNormBackward
2022-11-23T02:28:00.2719948Z [       OK ] LazyOpsTest.TestLayerNormBackward (180 ms)
2022-11-23T02:28:00.2720736Z [ RUN      ] LazyOpsTest.TestNuclearNorm
2022-11-23T02:28:00.2768242Z [       OK ] LazyOpsTest.TestNuclearNorm (4 ms)
2022-11-23T02:28:00.2768814Z [ RUN      ] LazyOpsTest.TestPairwiseDistance
2022-11-23T02:28:00.2981672Z [       OK ] LazyOpsTest.TestPairwiseDistance (21 ms)
2022-11-23T02:28:00.2982339Z [ RUN      ] LazyOpsTest.TestCosineSimilarity
2022-11-23T02:28:00.3280245Z [       OK ] LazyOpsTest.TestCosineSimilarity (29 ms)
2022-11-23T02:28:00.3280956Z [ RUN      ] LazyOpsTest.TestCosineEmbeddingLoss
2022-11-23T02:28:00.3924451Z [       OK ] LazyOpsTest.TestCosineEmbeddingLoss (64 ms)
2022-11-23T02:28:00.3925141Z [ RUN      ] LazyOpsTest.TestHingeEmbeddingLoss
2022-11-23T02:28:00.4232817Z [       OK ] LazyOpsTest.TestHingeEmbeddingLoss (30 ms)
2022-11-23T02:28:00.4233455Z [ RUN      ] LazyOpsTest.TestTripletMarginLoss
2022-11-23T02:28:00.5512921Z [       OK ] LazyOpsTest.TestTripletMarginLoss (127 ms)
2022-11-23T02:28:00.5513572Z [ RUN      ] LazyOpsTest.TestBinaryCrossEntropy
2022-11-23T02:28:00.5654606Z [       OK ] LazyOpsTest.TestBinaryCrossEntropy (14 ms)
2022-11-23T02:28:00.5655523Z [ RUN      ] LazyOpsTest.TestMarginRankingLoss
2022-11-23T02:28:00.5876379Z [       OK ] LazyOpsTest.TestMarginRankingLoss (22 ms)
2022-11-23T02:28:00.5877005Z [ RUN      ] LazyOpsTest.TestBCEWithLogits
2022-11-23T02:28:00.5995758Z [       OK ] LazyOpsTest.TestBCEWithLogits (11 ms)
2022-11-23T02:28:00.5996407Z [ RUN      ] LazyOpsTest.TestKlDiv
2022-11-23T02:28:00.6127717Z [       OK ] LazyOpsTest.TestKlDiv (13 ms)
2022-11-23T02:28:00.6128245Z [ RUN      ] LazyOpsTest.TestProd
2022-11-23T02:28:00.6134769Z [       OK ] LazyOpsTest.TestProd (0 ms)
2022-11-23T02:28:00.6135305Z [ RUN      ] LazyOpsTest.TestProdCast
2022-11-23T02:28:00.6142621Z [       OK ] LazyOpsTest.TestProdCast (0 ms)
2022-11-23T02:28:00.6143123Z [ RUN      ] LazyOpsTest.TestProdInDim
2022-11-23T02:28:00.6182355Z [       OK ] LazyOpsTest.TestProdInDim (3 ms)
2022-11-23T02:28:00.6182909Z [ RUN      ] LazyOpsTest.TestProdInDimKeepCast
2022-11-23T02:28:00.6218984Z [       OK ] LazyOpsTest.TestProdInDimKeepCast (3 ms)
2022-11-23T02:28:00.6219581Z [ RUN      ] LazyOpsTest.TestProdInDimKeep
2022-11-23T02:28:00.6256584Z [       OK ] LazyOpsTest.TestProdInDimKeep (3 ms)
2022-11-23T02:28:00.6257108Z [ RUN      ] LazyOpsTest.TestCumSum
2022-11-23T02:28:00.6370705Z [       OK ] LazyOpsTest.TestCumSum (11 ms)
2022-11-23T02:28:00.6371229Z [ RUN      ] LazyOpsTest.TestCumSumCast
2022-11-23T02:28:00.6478286Z [       OK ] LazyOpsTest.TestCumSumCast (10 ms)
2022-11-23T02:28:00.6478837Z [ RUN      ] LazyOpsTest.TestCumSumLong
2022-11-23T02:28:00.6568437Z [       OK ] LazyOpsTest.TestCumSumLong (9 ms)
2022-11-23T02:28:00.6569023Z [ RUN      ] LazyOpsTest.TestCumSumCastLong
2022-11-23T02:28:00.6661616Z [       OK ] LazyOpsTest.TestCumSumCastLong (9 ms)
2022-11-23T02:28:00.6662152Z [ RUN      ] LazyOpsTest.TestCumProd
2022-11-23T02:28:00.6700724Z [       OK ] LazyOpsTest.TestCumProd (3 ms)
2022-11-23T02:28:00.6701262Z [ RUN      ] LazyOpsTest.TestCumProdCast
2022-11-23T02:28:00.6743187Z [       OK ] LazyOpsTest.TestCumProdCast (4 ms)
2022-11-23T02:28:00.6743711Z [ RUN      ] LazyOpsTest.TestCumProdLong
2022-11-23T02:28:00.6803991Z [       OK ] LazyOpsTest.TestCumProdLong (6 ms)
2022-11-23T02:28:00.6804570Z [ RUN      ] LazyOpsTest.TestCumProdCastLong
2022-11-23T02:28:00.6867008Z [       OK ] LazyOpsTest.TestCumProdCastLong (6 ms)
2022-11-23T02:28:00.6867536Z [ RUN      ] LazyOpsTest.TestArgMin
2022-11-23T02:28:00.6873406Z [       OK ] LazyOpsTest.TestArgMin (0 ms)
2022-11-23T02:28:00.6873943Z [ RUN      ] LazyOpsTest.TestArgMinDim
2022-11-23T02:28:00.6883733Z [       OK ] LazyOpsTest.TestArgMinDim (1 ms)
2022-11-23T02:28:00.6884272Z [ RUN      ] LazyOpsTest.TestArgMinDimKeep
2022-11-23T02:28:00.6893492Z [       OK ] LazyOpsTest.TestArgMinDimKeep (0 ms)
2022-11-23T02:28:00.6894062Z [ RUN      ] LazyOpsTest.TestArgMinSameValue
2022-11-23T02:28:00.6899238Z [       OK ] LazyOpsTest.TestArgMinSameValue (0 ms)
2022-11-23T02:28:00.6899787Z [ RUN      ] LazyOpsTest.TestArgMinWrapper
2022-11-23T02:28:00.6909387Z [       OK ] LazyOpsTest.TestArgMinWrapper (0 ms)
2022-11-23T02:28:00.6909909Z [ RUN      ] LazyOpsTest.TestArgMax
2022-11-23T02:28:00.6915470Z [       OK ] LazyOpsTest.TestArgMax (0 ms)
2022-11-23T02:28:00.6915979Z [ RUN      ] LazyOpsTest.TestArgMaxDim
2022-11-23T02:28:00.6925683Z [       OK ] LazyOpsTest.TestArgMaxDim (0 ms)
2022-11-23T02:28:00.6926521Z [ RUN      ] LazyOpsTest.TestArgMaxDimKeep
2022-11-23T02:28:00.6935587Z [       OK ] LazyOpsTest.TestArgMaxDimKeep (0 ms)
2022-11-23T02:28:00.6936148Z [ RUN      ] LazyOpsTest.TestArgMaxSameValue
2022-11-23T02:28:00.6941259Z [       OK ] LazyOpsTest.TestArgMaxSameValue (0 ms)
2022-11-23T02:28:00.6941999Z [ RUN      ] LazyOpsTest.TestArgMaxWrapper
2022-11-23T02:28:00.6952339Z [       OK ] LazyOpsTest.TestArgMaxWrapper (1 ms)
2022-11-23T02:28:00.6952967Z [ RUN      ] LazyOpsTest.TestAsin
2022-11-23T02:28:00.6962887Z [       OK ] LazyOpsTest.TestAsin (1 ms)
2022-11-23T02:28:00.6963346Z [ RUN      ] LazyOpsTest.TestAsinh
2022-11-23T02:28:00.6971582Z [       OK ] LazyOpsTest.TestAsinh (0 ms)
2022-11-23T02:28:00.6972114Z [ RUN      ] LazyOpsTest.TestAsinhInPlace
2022-11-23T02:28:00.6984400Z [       OK ] LazyOpsTest.TestAsinhInPlace (1 ms)
2022-11-23T02:28:00.6985020Z [ RUN      ] LazyOpsTest.TestSin
2022-11-23T02:28:00.6994465Z [       OK ] LazyOpsTest.TestSin (0 ms)
2022-11-23T02:28:00.6994924Z [ RUN      ] LazyOpsTest.TestSinh
2022-11-23T02:28:00.7002746Z [       OK ] LazyOpsTest.TestSinh (0 ms)
2022-11-23T02:28:00.7003369Z [ RUN      ] LazyOpsTest.TestAcos
2022-11-23T02:28:00.7012116Z [       OK ] LazyOpsTest.TestAcos (0 ms)
2022-11-23T02:28:00.7012658Z [ RUN      ] LazyOpsTest.TestAcosh
2022-11-23T02:28:00.7020977Z [       OK ] LazyOpsTest.TestAcosh (0 ms)
2022-11-23T02:28:00.7021513Z [ RUN      ] LazyOpsTest.TestAcoshInPlace
2022-11-23T02:28:00.7034288Z [       OK ] LazyOpsTest.TestAcoshInPlace (1 ms)
2022-11-23T02:28:00.7034879Z [ RUN      ] LazyOpsTest.TestCos
2022-11-23T02:28:00.7057872Z [       OK ] LazyOpsTest.TestCos (2 ms)
2022-11-23T02:28:00.7058448Z [ RUN      ] LazyOpsTest.TestCosh
2022-11-23T02:28:00.7066347Z [       OK ] LazyOpsTest.TestCosh (0 ms)
2022-11-23T02:28:00.7067001Z [ RUN      ] LazyOpsTest.TestAtan
2022-11-23T02:28:00.7075912Z [       OK ] LazyOpsTest.TestAtan (0 ms)
2022-11-23T02:28:00.7076412Z [ RUN      ] LazyOpsTest.TestAtanh
2022-11-23T02:28:00.7084252Z [       OK ] LazyOpsTest.TestAtanh (0 ms)
2022-11-23T02:28:00.7084723Z [ RUN      ] LazyOpsTest.TestAtanhInPlace
2022-11-23T02:28:00.7095515Z [       OK ] LazyOpsTest.TestAtanhInPlace (1 ms)
2022-11-23T02:28:00.7096072Z [ RUN      ] LazyOpsTest.TestAtan2
2022-11-23T02:28:00.7104155Z [       OK ] LazyOpsTest.TestAtan2 (0 ms)
2022-11-23T02:28:00.7104672Z [ RUN      ] LazyOpsTest.TestTan
2022-11-23T02:28:00.7112191Z [       OK ] LazyOpsTest.TestTan (0 ms)
2022-11-23T02:28:00.7112710Z [ RUN      ] LazyOpsTest.TestTanh
2022-11-23T02:28:00.7133340Z [       OK ] LazyOpsTest.TestTanh (2 ms)
2022-11-23T02:28:00.7133897Z [ RUN      ] LazyOpsTest.TestClampMinMax
2022-11-23T02:28:00.7155398Z [       OK ] LazyOpsTest.TestClampMinMax (2 ms)
2022-11-23T02:28:00.7155948Z [ RUN      ] LazyOpsTest.TestClampMin
2022-11-23T02:28:00.7174495Z [       OK ] LazyOpsTest.TestClampMin (1 ms)
2022-11-23T02:28:00.7175047Z [ RUN      ] LazyOpsTest.TestClampMax
2022-11-23T02:28:00.7193693Z [       OK ] LazyOpsTest.TestClampMax (1 ms)
2022-11-23T02:28:00.7194267Z [ RUN      ] LazyOpsTest.TestClampMinExplicit
2022-11-23T02:28:00.7211823Z [       OK ] LazyOpsTest.TestClampMinExplicit (1 ms)
2022-11-23T02:28:00.7212208Z [ RUN      ] LazyOpsTest.TestClampMaxExplicit
2022-11-23T02:28:00.7219102Z [       OK ] LazyOpsTest.TestClampMaxExplicit (0 ms)
2022-11-23T02:28:00.7219459Z [ RUN      ] LazyOpsTest.TestClampMinExplicitInPlace
2022-11-23T02:28:00.7246839Z [       OK ] LazyOpsTest.TestClampMinExplicitInPlace (2 ms)
2022-11-23T02:28:00.7247230Z [ RUN      ] LazyOpsTest.TestClampMaxExplicitInPlace
2022-11-23T02:28:00.7257636Z [       OK ] LazyOpsTest.TestClampMaxExplicitInPlace (1 ms)
2022-11-23T02:28:00.7258010Z [ RUN      ] LazyOpsTest.TestCeil
2022-11-23T02:28:00.7266032Z [       OK ] LazyOpsTest.TestCeil (0 ms)
2022-11-23T02:28:00.7266438Z [ RUN      ] LazyOpsTest.TestFloor
2022-11-23T02:28:00.7285698Z [       OK ] LazyOpsTest.TestFloor (1 ms)
2022-11-23T02:28:00.7286022Z [ RUN      ] LazyOpsTest.TestRound
2022-11-23T02:28:00.7295128Z [       OK ] LazyOpsTest.TestRound (0 ms)
2022-11-23T02:28:00.7295403Z [ RUN      ] LazyOpsTest.TestTrunc
2022-11-23T02:28:00.7332063Z [       OK ] LazyOpsTest.TestTrunc (3 ms)
2022-11-23T02:28:00.7332378Z [ RUN      ] LazyOpsTest.TestFrac
2022-11-23T02:28:00.7351704Z [       OK ] LazyOpsTest.TestFrac (1 ms)
2022-11-23T02:28:00.7351976Z [ RUN      ] LazyOpsTest.TestNeg
2022-11-23T02:28:00.7369741Z [       OK ] LazyOpsTest.TestNeg (1 ms)
2022-11-23T02:28:00.7370047Z [ RUN      ] LazyOpsTest.TestBitwiseNot
2022-11-23T02:28:00.7387875Z [       OK ] LazyOpsTest.TestBitwiseNot (1 ms)
2022-11-23T02:28:00.7388210Z [ RUN      ] LazyOpsTest.TestBitwiseNotInPlace
2022-11-23T02:28:00.7407194Z [       OK ] LazyOpsTest.TestBitwiseNotInPlace (1 ms)
2022-11-23T02:28:00.7407499Z [ RUN      ] LazyOpsTest.TestSign
2022-11-23T02:28:00.7415515Z [       OK ] LazyOpsTest.TestSign (0 ms)
2022-11-23T02:28:00.7415812Z [ RUN      ] LazyOpsTest.TestSignByte
2022-11-23T02:28:00.7429090Z [       OK ] LazyOpsTest.TestSignByte (1 ms)
2022-11-23T02:28:00.7429377Z [ RUN      ] LazyOpsTest.TestAbs
2022-11-23T02:28:00.7447162Z [       OK ] LazyOpsTest.TestAbs (1 ms)
2022-11-23T02:28:00.7447454Z [ RUN      ] LazyOpsTest.TestAbsByte
2022-11-23T02:28:00.7461641Z [       OK ] LazyOpsTest.TestAbsByte (1 ms)
2022-11-23T02:28:00.7461968Z [ RUN      ] LazyOpsTest.TestEmptyLike
2022-11-23T02:28:00.7464279Z [       OK ] LazyOpsTest.TestEmptyLike (0 ms)
2022-11-23T02:28:00.7464608Z [ RUN      ] LazyOpsTest.TestEmptyLikeOptions
2022-11-23T02:28:00.7466679Z [       OK ] LazyOpsTest.TestEmptyLikeOptions (0 ms)
2022-11-23T02:28:00.7467116Z [ RUN      ] LazyOpsTest.TestEmpty
2022-11-23T02:28:00.7467894Z [       OK ] LazyOpsTest.TestEmpty (0 ms)
2022-11-23T02:28:00.7468238Z [ RUN      ] LazyOpsTest.TestZeroInPlace
2022-11-23T02:28:00.7485303Z [       OK ] LazyOpsTest.TestZeroInPlace (1 ms)
2022-11-23T02:28:00.7485643Z [ RUN      ] LazyOpsTest.TestZerosLike
2022-11-23T02:28:00.7493221Z [       OK ] LazyOpsTest.TestZerosLike (0 ms)
2022-11-23T02:28:00.7493553Z [ RUN      ] LazyOpsTest.TestZerosLikeOptions
2022-11-23T02:28:00.7499156Z [       OK ] LazyOpsTest.TestZerosLikeOptions (0 ms)
2022-11-23T02:28:00.7499536Z [ RUN      ] LazyOpsTest.TestZeros
2022-11-23T02:28:00.7521686Z [       OK ] LazyOpsTest.TestZeros (2 ms)
2022-11-23T02:28:00.7522141Z [ RUN      ] LazyOpsTest.TestOnes
2022-11-23T02:28:00.7546507Z [       OK ] LazyOpsTest.TestOnes (2 ms)
2022-11-23T02:28:00.7546873Z [ RUN      ] LazyOpsTest.TestOnesLike
2022-11-23T02:28:00.7553612Z [       OK ] LazyOpsTest.TestOnesLike (0 ms)
2022-11-23T02:28:00.7553999Z [ RUN      ] LazyOpsTest.TestOnesLikeOptions
2022-11-23T02:28:00.7560488Z [       OK ] LazyOpsTest.TestOnesLikeOptions (0 ms)
2022-11-23T02:28:00.7560847Z [ RUN      ] LazyOpsTest.TestFull
2022-11-23T02:28:00.7598781Z [       OK ] LazyOpsTest.TestFull (3 ms)
2022-11-23T02:28:00.7599149Z [ RUN      ] LazyOpsTest.TestFullLike
2022-11-23T02:28:00.7606154Z [       OK ] LazyOpsTest.TestFullLike (0 ms)
2022-11-23T02:28:00.7606520Z [ RUN      ] LazyOpsTest.TestFullLikeOptions
2022-11-23T02:28:00.7612354Z [       OK ] LazyOpsTest.TestFullLikeOptions (0 ms)
2022-11-23T02:28:00.7612942Z [ RUN      ] LazyOpsTest.TestARange
2022-11-23T02:28:00.7664855Z [       OK ] LazyOpsTest.TestARange (5 ms)
2022-11-23T02:28:00.7665317Z [ RUN      ] LazyOpsTest.TestARangeOut
2022-11-23T02:28:00.7666233Z [W RangeFactories.cpp:201] Warning: The number of elements in the out tensor of shape [4] is 4 which does not match the computed number of elements 200. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (200,). (function operator())
2022-11-23T02:28:00.7683655Z [       OK ] LazyOpsTest.TestARangeOut (1 ms)
2022-11-23T02:28:00.7683969Z [ RUN      ] LazyOpsTest.TestDimARange
2022-11-23T02:28:00.7707329Z [       OK ] LazyOpsTest.TestDimARange (2 ms)
2022-11-23T02:28:00.7707665Z [ RUN      ] LazyOpsTest.TestBartlettWindow
2022-11-23T02:28:00.7900400Z [       OK ] LazyOpsTest.TestBartlettWindow (19 ms)
2022-11-23T02:28:00.7900764Z [ RUN      ] LazyOpsTest.TestBlackmanWindow
2022-11-23T02:28:00.8057227Z [       OK ] LazyOpsTest.TestBlackmanWindow (15 ms)
2022-11-23T02:28:00.8057571Z [ RUN      ] LazyOpsTest.TestHammingWindow
2022-11-23T02:28:00.8159330Z [       OK ] LazyOpsTest.TestHammingWindow (10 ms)
2022-11-23T02:28:00.8159653Z [ RUN      ] LazyOpsTest.TestHannWindow
2022-11-23T02:28:00.8296116Z [       OK ] LazyOpsTest.TestHannWindow (13 ms)
2022-11-23T02:28:00.8296436Z [ RUN      ] LazyOpsTest.TestLogSigmoid
2022-11-23T02:28:00.8319903Z [       OK ] LazyOpsTest.TestLogSigmoid (2 ms)
2022-11-23T02:28:00.8320312Z [ RUN      ] LazyOpsTest.TestLogSigmoidForward
2022-11-23T02:28:00.8361220Z [       OK ] LazyOpsTest.TestLogSigmoidForward (4 ms)
2022-11-23T02:28:00.8361626Z [ RUN      ] LazyOpsTest.TestLogsumexp
2022-11-23T02:28:00.8610427Z [       OK ] LazyOpsTest.TestLogsumexp (24 ms)
2022-11-23T02:28:00.8610794Z [ RUN      ] LazyOpsTest.TestSiLU
2022-11-23T02:28:00.8638652Z [       OK ] LazyOpsTest.TestSiLU (2 ms)
2022-11-23T02:28:00.8638961Z [ RUN      ] LazyOpsTest.TestSigmoid
2022-11-23T02:28:00.8656978Z [       OK ] LazyOpsTest.TestSigmoid (1 ms)
2022-11-23T02:28:00.8657314Z [ RUN      ] LazyOpsTest.TestMatmul_1x1
2022-11-23T02:28:00.8666158Z [       OK ] LazyOpsTest.TestMatmul_1x1 (0 ms)
2022-11-23T02:28:00.8666459Z [ RUN      ] LazyOpsTest.TestMatmul_2x1
2022-11-23T02:28:00.8687742Z [       OK ] LazyOpsTest.TestMatmul_2x1 (2 ms)
2022-11-23T02:28:00.8688095Z [ RUN      ] LazyOpsTest.TestMatmul_1x2
2022-11-23T02:28:00.8719407Z [       OK ] LazyOpsTest.TestMatmul_1x2 (3 ms)
2022-11-23T02:28:00.8719752Z [ RUN      ] LazyOpsTest.TestMatmul_2x2
2022-11-23T02:28:00.8740733Z [       OK ] LazyOpsTest.TestMatmul_2x2 (2 ms)
2022-11-23T02:28:00.8741064Z [ RUN      ] LazyOpsTest.TestMatmulBcast
2022-11-23T02:28:00.8792447Z [       OK ] LazyOpsTest.TestMatmulBcast (5 ms)
2022-11-23T02:28:00.8792751Z [ RUN      ] LazyOpsTest.TestDot
2022-11-23T02:28:00.8801310Z [       OK ] LazyOpsTest.TestDot (0 ms)
2022-11-23T02:28:00.8801600Z [ RUN      ] LazyOpsTest.TestTensorDot
2022-11-23T02:28:00.8851850Z [       OK ] LazyOpsTest.TestTensorDot (4 ms)
2022-11-23T02:28:00.8852144Z [ RUN      ] LazyOpsTest.TestGer
2022-11-23T02:28:00.8878542Z [       OK ] LazyOpsTest.TestGer (2 ms)
2022-11-23T02:28:00.8878860Z [ RUN      ] LazyOpsTest.TestMv
2022-11-23T02:28:00.8901236Z [       OK ] LazyOpsTest.TestMv (2 ms)
2022-11-23T02:28:00.8901525Z [ RUN      ] LazyOpsTest.TestMvOut
2022-11-23T02:28:00.8932852Z [       OK ] LazyOpsTest.TestMvOut (3 ms)
2022-11-23T02:28:00.8933232Z [ RUN      ] LazyOpsTest.TestBatchAddBatchMatMul
2022-11-23T02:28:00.8959403Z [       OK ] LazyOpsTest.TestBatchAddBatchMatMul (2 ms)
2022-11-23T02:28:00.8959995Z [ RUN      ] LazyOpsTest.TestBatchAddBatchMatMulInPlace
2022-11-23T02:28:00.8995727Z [       OK ] LazyOpsTest.TestBatchAddBatchMatMulInPlace (3 ms)
2022-11-23T02:28:00.8996126Z [ RUN      ] LazyOpsTest.TestBatchMatMul
2022-11-23T02:28:00.9017892Z [       OK ] LazyOpsTest.TestBatchMatMul (2 ms)
2022-11-23T02:28:00.9018378Z [ RUN      ] LazyOpsTest.TestChainMatMul
2022-11-23T02:28:00.9019531Z [W LinearAlgebra.cpp:1076] Warning: torch.chain_matmul is deprecated and will be removed in a future PyTorch release. Use torch.linalg.multi_dot instead, which accepts a list of two or more tensors rather than multiple parameters. (function operator())
2022-11-23T02:28:00.9057510Z [       OK ] LazyOpsTest.TestChainMatMul (3 ms)
2022-11-23T02:28:00.9057891Z [ RUN      ] LazyOpsTest.TestLinear
2022-11-23T02:28:00.9109768Z [       OK ] LazyOpsTest.TestLinear (5 ms)
2022-11-23T02:28:00.9110168Z [ RUN      ] LazyOpsTest.TestPinverse
2022-11-23T02:28:00.9230756Z [       OK ] LazyOpsTest.TestPinverse (11 ms)
2022-11-23T02:28:00.9231331Z [ RUN      ] LazyOpsTest.TestEinsumOuter
2022-11-23T02:28:00.9271181Z [       OK ] LazyOpsTest.TestEinsumOuter (4 ms)
2022-11-23T02:28:00.9271803Z [ RUN      ] LazyOpsTest.TestEinsumOuterBackward
2022-11-23T02:28:00.9426108Z [       OK ] LazyOpsTest.TestEinsumOuterBackward (15 ms)
2022-11-23T02:28:00.9426705Z [ RUN      ] LazyOpsTest.TestEinsumBatchMatMul
2022-11-23T02:28:00.9505973Z [       OK ] LazyOpsTest.TestEinsumBatchMatMul (8 ms)
2022-11-23T02:28:00.9506355Z [ RUN      ] LazyOpsTest.TestEinsumPyTorchLowerBilinear
2022-11-23T02:28:00.9632357Z [       OK ] LazyOpsTest.TestEinsumPyTorchLowerBilinear (12 ms)
2022-11-23T02:28:00.9632754Z [ RUN      ] LazyOpsTest.TestEinsumPyTorchLowerDiagonal
2022-11-23T02:28:00.9665277Z [       OK ] LazyOpsTest.TestEinsumPyTorchLowerDiagonal (3 ms)
2022-11-23T02:28:00.9665715Z [ RUN      ] LazyOpsTest.TestEinsumPyTorchLowerBatchDiagonal
2022-11-23T02:28:00.9699514Z [       OK ] LazyOpsTest.TestEinsumPyTorchLowerBatchDiagonal (3 ms)
2022-11-23T02:28:00.9699943Z [ RUN      ] LazyOpsTest.TestEinsumPyTorchLowerBatchPermute
2022-11-23T02:28:00.9723730Z [       OK ] LazyOpsTest.TestEinsumPyTorchLowerBatchPermute (2 ms)
2022-11-23T02:28:00.9724159Z [ RUN      ] LazyOpsTest.TestEinsumPyTorchLowerRepeatedAxis
2022-11-23T02:28:00.9797939Z [       OK ] LazyOpsTest.TestEinsumPyTorchLowerRepeatedAxis (7 ms)
2022-11-23T02:28:00.9798307Z [ RUN      ] LazyOpsTest.TestBilinear
2022-11-23T02:28:01.0717480Z [       OK ] LazyOpsTest.TestBilinear (91 ms)
2022-11-23T02:28:01.0717826Z [ RUN      ] LazyOpsTest.TestUpsampleNearest2D
2022-11-23T02:28:01.0747208Z [       OK ] LazyOpsTest.TestUpsampleNearest2D (3 ms)
2022-11-23T02:28:01.0747602Z [ RUN      ] LazyOpsTest.TestUpsampleNearest2DBackward
2022-11-23T02:28:01.0818299Z [       OK ] LazyOpsTest.TestUpsampleNearest2DBackward (7 ms)
2022-11-23T02:28:01.0818691Z [ RUN      ] LazyOpsTest.TestUpsampleNearest2DWithScale
2022-11-23T02:28:01.0848153Z [       OK ] LazyOpsTest.TestUpsampleNearest2DWithScale (2 ms)
2022-11-23T02:28:01.0848583Z [ RUN      ] LazyOpsTest.TestUpsampleNearest2DBackwardWithScale
2022-11-23T02:28:01.0920640Z [       OK ] LazyOpsTest.TestUpsampleNearest2DBackwardWithScale (7 ms)
2022-11-23T02:28:01.0921040Z [ RUN      ] LazyOpsTest.TestUpsampleBilinear2D
2022-11-23T02:28:01.0972728Z [       OK ] LazyOpsTest.TestUpsampleBilinear2D (5 ms)
2022-11-23T02:28:01.0973130Z [ RUN      ] LazyOpsTest.TestUpsampleBilinear2DBackward
2022-11-23T02:28:01.1127871Z [       OK ] LazyOpsTest.TestUpsampleBilinear2DBackward (15 ms)
2022-11-23T02:28:01.1128209Z [ RUN      ] LazyOpsTest.TestAddCMul
2022-11-23T02:28:01.1151747Z [       OK ] LazyOpsTest.TestAddCMul (2 ms)
2022-11-23T02:28:01.1152071Z [ RUN      ] LazyOpsTest.TestAddCDiv
2022-11-23T02:28:01.1176229Z [       OK ] LazyOpsTest.TestAddCDiv (2 ms)
2022-11-23T02:28:01.1176697Z [ RUN      ] LazyOpsTest.TestAddCDivWithBroadcast
2022-11-23T02:28:01.1199484Z [       OK ] LazyOpsTest.TestAddCDivWithBroadcast (2 ms)
2022-11-23T02:28:01.1199808Z [ RUN      ] LazyOpsTest.TestSize
2022-11-23T02:28:01.1201306Z [       OK ] LazyOpsTest.TestSize (0 ms)
2022-11-23T02:28:01.1201604Z [ RUN      ] LazyOpsTest.TestSelect
2022-11-23T02:28:01.1832281Z [       OK ] LazyOpsTest.TestSelect (62 ms)
2022-11-23T02:28:01.1832636Z [ RUN      ] LazyOpsTest.TestBernoulliScalarProb
2022-11-23T02:28:01.1854676Z [       OK ] LazyOpsTest.TestBernoulliScalarProb (2 ms)
2022-11-23T02:28:01.1855026Z [ RUN      ] LazyOpsTest.TestBernoulliTensorProb
2022-11-23T02:28:01.1876333Z [       OK ] LazyOpsTest.TestBernoulliTensorProb (2 ms)
2022-11-23T02:28:01.1876732Z [ RUN      ] LazyOpsTest.TestBernoulliScalarProbInPlace
2022-11-23T02:28:01.1904469Z [       OK ] LazyOpsTest.TestBernoulliScalarProbInPlace (2 ms)
2022-11-23T02:28:01.1904900Z [ RUN      ] LazyOpsTest.TestBernoulliTensorProbInPlace
2022-11-23T02:28:01.1930357Z [       OK ] LazyOpsTest.TestBernoulliTensorProbInPlace (2 ms)
2022-11-23T02:28:01.1930708Z [ RUN      ] LazyOpsTest.TestDropout
2022-11-23T02:28:01.1951972Z [       OK ] LazyOpsTest.TestDropout (2 ms)
2022-11-23T02:28:01.1952306Z [ RUN      ] LazyOpsTest.TestDropoutInPlace
2022-11-23T02:28:01.1982515Z [       OK ] LazyOpsTest.TestDropoutInPlace (3 ms)
2022-11-23T02:28:01.1982832Z [ RUN      ] LazyOpsTest.TestRandperm
2022-11-23T02:28:01.2005705Z [       OK ] LazyOpsTest.TestRandperm (2 ms)
2022-11-23T02:28:01.2006014Z [ RUN      ] LazyOpsTest.TestSlice
2022-11-23T02:28:01.2071674Z [       OK ] LazyOpsTest.TestSlice (6 ms)
2022-11-23T02:28:01.2071948Z [ RUN      ] LazyOpsTest.TestTake
2022-11-23T02:28:01.2081600Z [       OK ] LazyOpsTest.TestTake (0 ms)
2022-11-23T02:28:01.2081916Z [ RUN      ] LazyOpsTest.TestTakeBackward
2022-11-23T02:28:01.2160127Z [       OK ] LazyOpsTest.TestTakeBackward (7 ms)
2022-11-23T02:28:01.2160419Z [ RUN      ] LazyOpsTest.TestStack
2022-11-23T02:28:01.2363532Z [       OK ] LazyOpsTest.TestStack (20 ms)
2022-11-23T02:28:01.2363827Z [ RUN      ] LazyOpsTest.TestCat
2022-11-23T02:28:01.2415644Z [       OK ] LazyOpsTest.TestCat (5 ms)
2022-11-23T02:28:01.2415958Z [ RUN      ] LazyOpsTest.TestUnbind
2022-11-23T02:28:01.2533224Z [       OK ] LazyOpsTest.TestUnbind (11 ms)
2022-11-23T02:28:01.2533666Z [ RUN      ] LazyOpsTest.TestRepeat
2022-11-23T02:28:01.2614107Z [       OK ] LazyOpsTest.TestRepeat (8 ms)
2022-11-23T02:28:01.2614668Z [ RUN      ] LazyOpsTest.TestGather
2022-11-23T02:28:01.2657797Z [       OK ] LazyOpsTest.TestGather (4 ms)
2022-11-23T02:28:01.2658358Z [ RUN      ] LazyOpsTest.TestScatter
2022-11-23T02:28:01.2681422Z [       OK ] LazyOpsTest.TestScatter (2 ms)
2022-11-23T02:28:01.2681975Z [ RUN      ] LazyOpsTest.TestScatterR1
2022-11-23T02:28:01.2690559Z [       OK ] LazyOpsTest.TestScatterR1 (0 ms)
2022-11-23T02:28:01.2691131Z [ RUN      ] LazyOpsTest.TestScatterR3
2022-11-23T02:28:01.2706575Z [       OK ] LazyOpsTest.TestScatterR3 (1 ms)
2022-11-23T02:28:01.2707176Z [ RUN      ] LazyOpsTest.TestScatterBiggerSource
2022-11-23T02:28:01.2726678Z [       OK ] LazyOpsTest.TestScatterBiggerSource (1 ms)
2022-11-23T02:28:01.2727149Z [ RUN      ] LazyOpsTest.TestScatterScalar
2022-11-23T02:28:01.2744791Z [       OK ] LazyOpsTest.TestScatterScalar (1 ms)
2022-11-23T02:28:01.2745515Z [ RUN      ] LazyOpsTest.TestScatterReduceAdd
2022-11-23T02:28:01.2768240Z [       OK ] LazyOpsTest.TestScatterReduceAdd (2 ms)
2022-11-23T02:28:01.2768806Z [ RUN      ] LazyOpsTest.TestScatterAdd
2022-11-23T02:28:01.2821175Z [       OK ] LazyOpsTest.TestScatterAdd (5 ms)
2022-11-23T02:28:01.2821589Z [ RUN      ] LazyOpsTest.TestScatterAddInPlace
2022-11-23T02:28:01.2877443Z [       OK ] LazyOpsTest.TestScatterAddInPlace (5 ms)
2022-11-23T02:28:01.2877989Z [ RUN      ] LazyOpsTest.TestIndexSelect
2022-11-23T02:28:01.3591117Z [       OK ] LazyOpsTest.TestIndexSelect (71 ms)
2022-11-23T02:28:01.3591684Z [ RUN      ] LazyOpsTest.TestIndexSelectRank0
2022-11-23T02:28:01.3771235Z [       OK ] LazyOpsTest.TestIndexSelectRank0 (17 ms)
2022-11-23T02:28:01.3771808Z [ RUN      ] LazyOpsTest.TestInverse
2022-11-23T02:28:01.3800175Z [       OK ] LazyOpsTest.TestInverse (2 ms)
2022-11-23T02:28:01.3800827Z [ RUN      ] LazyOpsTest.TestIsnan
2022-11-23T02:28:01.3805099Z [       OK ] LazyOpsTest.TestIsnan (0 ms)
2022-11-23T02:28:01.3805614Z [ RUN      ] LazyOpsTest.TestExpand
2022-11-23T02:28:01.3826863Z [       OK ] LazyOpsTest.TestExpand (2 ms)
2022-11-23T02:28:01.3827217Z [ RUN      ] LazyOpsTest.TestExpandBack
2022-11-23T02:28:01.3848425Z [       OK ] LazyOpsTest.TestExpandBack (2 ms)
2022-11-23T02:28:01.3848736Z [ RUN      ] LazyOpsTest.TestExpandAs
2022-11-23T02:28:01.3880322Z [       OK ] LazyOpsTest.TestExpandAs (3 ms)
2022-11-23T02:28:01.3880635Z [ RUN      ] LazyOpsTest.TestEye
2022-11-23T02:28:01.3895744Z [       OK ] LazyOpsTest.TestEye (1 ms)
2022-11-23T02:28:01.3896048Z [ RUN      ] LazyOpsTest.TestEyeWide
2022-11-23T02:28:01.3902381Z [       OK ] LazyOpsTest.TestEyeWide (0 ms)
2022-11-23T02:28:01.3902690Z [ RUN      ] LazyOpsTest.TestEyeNarrow
2022-11-23T02:28:01.3909002Z [       OK ] LazyOpsTest.TestEyeNarrow (0 ms)
2022-11-23T02:28:01.3909332Z [ RUN      ] LazyOpsTest.TestBroadcastTensors
2022-11-23T02:28:01.3952890Z [       OK ] LazyOpsTest.TestBroadcastTensors (4 ms)
2022-11-23T02:28:01.3953212Z [ RUN      ] LazyOpsTest.TestOneIndex
2022-11-23T02:28:01.4059806Z [       OK ] LazyOpsTest.TestOneIndex (10 ms)
2022-11-23T02:28:01.4060291Z [ RUN      ] LazyOpsTest.TestOneIndexTransfer
2022-11-23T02:28:01.4156149Z [       OK ] LazyOpsTest.TestOneIndexTransfer (9 ms)
2022-11-23T02:28:01.4156478Z [ RUN      ] LazyOpsTest.TestNonzero
2022-11-23T02:28:01.4166051Z [       OK ] LazyOpsTest.TestNonzero (1 ms)
2022-11-23T02:28:01.4166418Z [ RUN      ] LazyOpsTest.TestMaskedSelect
2022-11-23T02:28:01.4176991Z [       OK ] LazyOpsTest.TestMaskedSelect (1 ms)
2022-11-23T02:28:01.4177371Z [ RUN      ] LazyOpsTest.TestMaskedScatter
2022-11-23T02:28:01.4195405Z [       OK ] LazyOpsTest.TestMaskedScatter (1 ms)
2022-11-23T02:28:01.4195834Z [ RUN      ] LazyOpsTest.TestMultiIndexHeadNull
2022-11-23T02:28:01.4267870Z [       OK ] LazyOpsTest.TestMultiIndexHeadNull (7 ms)
2022-11-23T02:28:01.4268260Z [ RUN      ] LazyOpsTest.TestMultiIndexMiddleNull
2022-11-23T02:28:01.4336781Z [       OK ] LazyOpsTest.TestMultiIndexMiddleNull (6 ms)
2022-11-23T02:28:01.4337126Z [ RUN      ] LazyOpsTest.TestMultiIndexTailNull
2022-11-23T02:28:01.4411354Z [       OK ] LazyOpsTest.TestMultiIndexTailNull (7 ms)
2022-11-23T02:28:01.4411738Z [ RUN      ] LazyOpsTest.TestMultiIndexMiddleBroadcast
2022-11-23T02:28:01.4488439Z [       OK ] LazyOpsTest.TestMultiIndexMiddleBroadcast (7 ms)
2022-11-23T02:28:01.4488834Z [ RUN      ] LazyOpsTest.TestMultiIndexTailBroadcast
2022-11-23T02:28:01.4554973Z [       OK ] LazyOpsTest.TestMultiIndexTailBroadcast (6 ms)
2022-11-23T02:28:01.4555539Z [ RUN      ] LazyOpsTest.TestMaskIndex
2022-11-23T02:28:01.4594536Z [       OK ] LazyOpsTest.TestMaskIndex (3 ms)
2022-11-23T02:28:01.4594909Z [ RUN      ] LazyOpsTest.TestOneIndexPut
2022-11-23T02:28:01.4841760Z [       OK ] LazyOpsTest.TestOneIndexPut (24 ms)
2022-11-23T02:28:01.4842125Z [ RUN      ] LazyOpsTest.TestOneIndexPutInPlace
2022-11-23T02:28:01.5026972Z [       OK ] LazyOpsTest.TestOneIndexPutInPlace (18 ms)
2022-11-23T02:28:01.5027383Z [ RUN      ] LazyOpsTest.TestOneIndexPutTransfer
2022-11-23T02:28:01.5160125Z [       OK ] LazyOpsTest.TestOneIndexPutTransfer (13 ms)
2022-11-23T02:28:01.5160496Z [ RUN      ] LazyOpsTest.TestMultiIndexPut
2022-11-23T02:28:01.5306199Z [       OK ] LazyOpsTest.TestMultiIndexPut (14 ms)
2022-11-23T02:28:01.5306581Z [ RUN      ] LazyOpsTest.TestMultiIndexPutHeadNull
2022-11-23T02:28:01.5536126Z [       OK ] LazyOpsTest.TestMultiIndexPutHeadNull (22 ms)
2022-11-23T02:28:01.5536551Z [ RUN      ] LazyOpsTest.TestMultiIndexPutMiddleNull
2022-11-23T02:28:01.5674793Z [       OK ] LazyOpsTest.TestMultiIndexPutMiddleNull (13 ms)
2022-11-23T02:28:01.5675185Z [ RUN      ] LazyOpsTest.TestMultiIndexPutTailNull
2022-11-23T02:28:01.5804728Z [       OK ] LazyOpsTest.TestMultiIndexPutTailNull (12 ms)
2022-11-23T02:28:01.5805159Z [ RUN      ] LazyOpsTest.TestMultiIndexPutMiddleBroadcast
2022-11-23T02:28:01.5953112Z [       OK ] LazyOpsTest.TestMultiIndexPutMiddleBroadcast (14 ms)
2022-11-23T02:28:01.5953543Z [ RUN      ] LazyOpsTest.TestMultiIndexPutTailBroadcast
2022-11-23T02:28:01.6248374Z [       OK ] LazyOpsTest.TestMultiIndexPutTailBroadcast (29 ms)
2022-11-23T02:28:01.6248971Z [ RUN      ] LazyOpsTest.TestMaskIndexPut
2022-11-23T02:28:01.6424075Z [       OK ] LazyOpsTest.TestMaskIndexPut (17 ms)
2022-11-23T02:28:01.6424430Z [ RUN      ] LazyOpsTest.TestIndexPutImpl
2022-11-23T02:28:01.6616481Z [       OK ] LazyOpsTest.TestIndexPutImpl (19 ms)
2022-11-23T02:28:01.6616832Z [ RUN      ] LazyOpsTest.TestIndexFillWithScalar
2022-11-23T02:28:01.6895117Z [       OK ] LazyOpsTest.TestIndexFillWithScalar (27 ms)
2022-11-23T02:28:01.6895564Z [ RUN      ] LazyOpsTest.TestIndexFillWithScalarInPlace
2022-11-23T02:28:01.7135257Z [       OK ] LazyOpsTest.TestIndexFillWithScalarInPlace (23 ms)
2022-11-23T02:28:01.7135676Z [ RUN      ] LazyOpsTest.TestIndexFillWithTensor
2022-11-23T02:28:01.7364143Z [       OK ] LazyOpsTest.TestIndexFillWithTensor (22 ms)
2022-11-23T02:28:01.7364548Z [ RUN      ] LazyOpsTest.TestIndexFillWithTensorInPlace
2022-11-23T02:28:01.7638260Z [       OK ] LazyOpsTest.TestIndexFillWithTensorInPlace (27 ms)
2022-11-23T02:28:01.7638639Z [ RUN      ] LazyOpsTest.TestIndexFillRank0
2022-11-23T02:28:01.7859710Z [       OK ] LazyOpsTest.TestIndexFillRank0 (22 ms)
2022-11-23T02:28:01.7860202Z [ RUN      ] LazyOpsTest.TestIndexAdd
2022-11-23T02:28:01.8541982Z [       OK ] LazyOpsTest.TestIndexAdd (68 ms)
2022-11-23T02:28:01.8542557Z [ RUN      ] LazyOpsTest.TestIndexAddInPlace
2022-11-23T02:28:01.9062130Z [       OK ] LazyOpsTest.TestIndexAddInPlace (52 ms)
2022-11-23T02:28:01.9062464Z [ RUN      ] LazyOpsTest.TestIndexAddRank0
2022-11-23T02:28:01.9263323Z [       OK ] LazyOpsTest.TestIndexAddRank0 (20 ms)
2022-11-23T02:28:01.9264017Z [ RUN      ] LazyOpsTest.TestIndexCopy
2022-11-23T02:28:01.9475421Z [       OK ] LazyOpsTest.TestIndexCopy (21 ms)
2022-11-23T02:28:01.9476033Z [ RUN      ] LazyOpsTest.TestIndexCopyInPlace
2022-11-23T02:28:01.9737105Z [       OK ] LazyOpsTest.TestIndexCopyInPlace (26 ms)
2022-11-23T02:28:01.9737478Z [ RUN      ] LazyOpsTest.TestIndexCopyRank0
2022-11-23T02:28:01.9934912Z [       OK ] LazyOpsTest.TestIndexCopyRank0 (19 ms)
2022-11-23T02:28:01.9935494Z [ RUN      ] LazyOpsTest.TestRelu
2022-11-23T02:28:01.9956692Z [       OK ] LazyOpsTest.TestRelu (2 ms)
2022-11-23T02:28:01.9957394Z [ RUN      ] LazyOpsTest.TestReluInPlace
2022-11-23T02:28:01.9986431Z [       OK ] LazyOpsTest.TestReluInPlace (2 ms)
2022-11-23T02:28:01.9986920Z [ RUN      ] LazyOpsTest.TestHardshrink
2022-11-23T02:28:01.9993604Z [       OK ] LazyOpsTest.TestHardshrink (0 ms)
2022-11-23T02:28:01.9994155Z [ RUN      ] LazyOpsTest.TestHardSigmoid
2022-11-23T02:28:02.0012990Z [       OK ] LazyOpsTest.TestHardSigmoid (1 ms)
2022-11-23T02:28:02.0013586Z [ RUN      ] LazyOpsTest.TestHardSigmoidInPlace
2022-11-23T02:28:02.0052336Z [       OK ] LazyOpsTest.TestHardSigmoidInPlace (3 ms)
2022-11-23T02:28:02.0052980Z [ RUN      ] LazyOpsTest.TestHardSigmoidBackward
2022-11-23T02:28:02.0128107Z [       OK ] LazyOpsTest.TestHardSigmoidBackward (7 ms)
2022-11-23T02:28:02.0128689Z [ RUN      ] LazyOpsTest.TestSoftshrink
2022-11-23T02:28:02.0135564Z [       OK ] LazyOpsTest.TestSoftshrink (0 ms)
2022-11-23T02:28:02.0136124Z [ RUN      ] LazyOpsTest.TestHardtanh
2022-11-23T02:28:02.0143592Z [       OK ] LazyOpsTest.TestHardtanh (0 ms)
2022-11-23T02:28:02.0144156Z [ RUN      ] LazyOpsTest.TestHardtanhInPlace
2022-11-23T02:28:02.0168128Z [       OK ] LazyOpsTest.TestHardtanhInPlace (2 ms)
2022-11-23T02:28:02.0168720Z [ RUN      ] LazyOpsTest.TestLeakyRelu
2022-11-23T02:28:02.0188132Z [       OK ] LazyOpsTest.TestLeakyRelu (1 ms)
2022-11-23T02:28:02.0188706Z [ RUN      ] LazyOpsTest.TestLeakyReluInPlace
2022-11-23T02:28:02.0218502Z [       OK ] LazyOpsTest.TestLeakyReluInPlace (2 ms)
2022-11-23T02:28:02.0219057Z [ RUN      ] LazyOpsTest.TestExp
2022-11-23T02:28:02.0237081Z [       OK ] LazyOpsTest.TestExp (1 ms)
2022-11-23T02:28:02.0237812Z [ RUN      ] LazyOpsTest.TestExpm1
2022-11-23T02:28:02.0245203Z [       OK ] LazyOpsTest.TestExpm1 (0 ms)
2022-11-23T02:28:02.0245718Z [ RUN      ] LazyOpsTest.TestLog
2022-11-23T02:28:02.0263857Z [       OK ] LazyOpsTest.TestLog (1 ms)
2022-11-23T02:28:02.0264381Z [ RUN      ] LazyOpsTest.TestLog2
2022-11-23T02:28:02.0284955Z [       OK ] LazyOpsTest.TestLog2 (2 ms)
2022-11-23T02:28:02.0285274Z [ RUN      ] LazyOpsTest.TestLog10
2022-11-23T02:28:02.0293104Z [       OK ] LazyOpsTest.TestLog10 (0 ms)
2022-11-23T02:28:02.0293411Z [ RUN      ] LazyOpsTest.TestLog1p
2022-11-23T02:28:02.0301870Z [       OK ] LazyOpsTest.TestLog1p (0 ms)
2022-11-23T02:28:02.0302159Z [ RUN      ] LazyOpsTest.TestErf
2022-11-23T02:28:02.0310433Z [       OK ] LazyOpsTest.TestErf (0 ms)
2022-11-23T02:28:02.0310739Z [ RUN      ] LazyOpsTest.TestErfc
2022-11-23T02:28:02.0319525Z [       OK ] LazyOpsTest.TestErfc (0 ms)
2022-11-23T02:28:02.0319838Z [ RUN      ] LazyOpsTest.TestErfinv
2022-11-23T02:28:02.0327859Z [       OK ] LazyOpsTest.TestErfinv (0 ms)
2022-11-23T02:28:02.0328149Z [ RUN      ] LazyOpsTest.TestSqrt
2022-11-23T02:28:02.0346878Z [       OK ] LazyOpsTest.TestSqrt (1 ms)
2022-11-23T02:28:02.0347189Z [ RUN      ] LazyOpsTest.TestRsqrt
2022-11-23T02:28:02.0366098Z [       OK ] LazyOpsTest.TestRsqrt (1 ms)
2022-11-23T02:28:02.0366395Z [ RUN      ] LazyOpsTest.TestReciprocal
2022-11-23T02:28:02.0383250Z [       OK ] LazyOpsTest.TestReciprocal (1 ms)
2022-11-23T02:28:02.0383581Z [ RUN      ] LazyOpsTest.TestPowTensorScalar
2022-11-23T02:28:02.0401496Z [       OK ] LazyOpsTest.TestPowTensorScalar (1 ms)
2022-11-23T02:28:02.0401874Z [ RUN      ] LazyOpsTest.TestPowTensorScalarInPlace
2022-11-23T02:28:02.0431388Z [       OK ] LazyOpsTest.TestPowTensorScalarInPlace (2 ms)
2022-11-23T02:28:02.0432017Z [ RUN      ] LazyOpsTest.TestPowTensorTensor
2022-11-23T02:28:02.0453090Z [       OK ] LazyOpsTest.TestPowTensorTensor (2 ms)
2022-11-23T02:28:02.0453461Z [ RUN      ] LazyOpsTest.TestPowTensorTensorInPlace
2022-11-23T02:28:02.0487499Z [       OK ] LazyOpsTest.TestPowTensorTensorInPlace (3 ms)
2022-11-23T02:28:02.0487929Z [ RUN      ] LazyOpsTest.TestPowTensorTensorBroadcast
2022-11-23T02:28:02.0507016Z [       OK ] LazyOpsTest.TestPowTensorTensorBroadcast (1 ms)
2022-11-23T02:28:02.0507391Z [ RUN      ] LazyOpsTest.TestPowScalarTensor
2022-11-23T02:28:02.0515661Z [       OK ] LazyOpsTest.TestPowScalarTensor (0 ms)
2022-11-23T02:28:02.0516014Z [ RUN      ] LazyOpsTest.TestPowIntExponent
2022-11-23T02:28:02.0533689Z [       OK ] LazyOpsTest.TestPowIntExponent (1 ms)
2022-11-23T02:28:02.0534285Z [ RUN      ] LazyOpsTest.TestFmodScalar
2022-11-23T02:28:02.0542653Z [       OK ] LazyOpsTest.TestFmodScalar (0 ms)
2022-11-23T02:28:02.0543263Z [ RUN      ] LazyOpsTest.TestFmodScalarInPlace
2022-11-23T02:28:02.0555750Z [       OK ] LazyOpsTest.TestFmodScalarInPlace (1 ms)
2022-11-23T02:28:02.0556290Z [ RUN      ] LazyOpsTest.TestFmodTensor
2022-11-23T02:28:02.0565286Z [       OK ] LazyOpsTest.TestFmodTensor (0 ms)
2022-11-23T02:28:02.0565898Z [ RUN      ] LazyOpsTest.TestFmodTensorInPlace
2022-11-23T02:28:02.0579058Z [       OK ] LazyOpsTest.TestFmodTensorInPlace (1 ms)
2022-11-23T02:28:02.0579630Z [ RUN      ] LazyOpsTest.TestRemainderScalar
2022-11-23T02:28:02.0612523Z [       OK ] LazyOpsTest.TestRemainderScalar (3 ms)
2022-11-23T02:28:02.0613128Z [ RUN      ] LazyOpsTest.TestRemainderScalarInPlace
2022-11-23T02:28:02.0648556Z [       OK ] LazyOpsTest.TestRemainderScalarInPlace (3 ms)
2022-11-23T02:28:02.0649146Z [ RUN      ] LazyOpsTest.TestRemainderTensor
2022-11-23T02:28:02.0670428Z [       OK ] LazyOpsTest.TestRemainderTensor (2 ms)
2022-11-23T02:28:02.0670780Z [ RUN      ] LazyOpsTest.TestRemainderTensorInPlace
2022-11-23T02:28:02.0705764Z [       OK ] LazyOpsTest.TestRemainderTensorInPlace (3 ms)
2022-11-23T02:28:02.0706085Z [ RUN      ] LazyOpsTest.TestWhere
2022-11-23T02:28:02.0709242Z [W TensorCompare.cpp:491] Warning: where received a uint8 condition tensor. This behavior is deprecated and will be removed in a future version of PyTorch. Use a boolean condition instead. (function operator())
2022-11-23T02:28:02.0718537Z [       OK ] LazyOpsTest.TestWhere (1 ms)
2022-11-23T02:28:02.0718853Z [ RUN      ] LazyOpsTest.TestWhereBroadcast
2022-11-23T02:28:02.0730839Z [       OK ] LazyOpsTest.TestWhereBroadcast (1 ms)
2022-11-23T02:28:02.0731156Z [ RUN      ] LazyOpsTest.TestThreshold
2022-11-23T02:28:02.0751320Z [       OK ] LazyOpsTest.TestThreshold (2 ms)
2022-11-23T02:28:02.0751648Z [ RUN      ] LazyOpsTest.TestThresholdBackward
2022-11-23T02:28:02.0813220Z [       OK ] LazyOpsTest.TestThresholdBackward (6 ms)
2022-11-23T02:28:02.0813691Z [ RUN      ] LazyOpsTest.TestThresholdInPlace
2022-11-23T02:28:02.0839304Z [       OK ] LazyOpsTest.TestThresholdInPlace (2 ms)
2022-11-23T02:28:02.0839781Z [ RUN      ] LazyOpsTest.TestElu
2022-11-23T02:28:02.0859932Z [       OK ] LazyOpsTest.TestElu (2 ms)
2022-11-23T02:28:02.0860453Z [ RUN      ] LazyOpsTest.TestEluInPlace
2022-11-23T02:28:02.0890907Z [       OK ] LazyOpsTest.TestEluInPlace (3 ms)
2022-11-23T02:28:02.0891432Z [ RUN      ] LazyOpsTest.TestSelu
2022-11-23T02:28:02.0909935Z [       OK ] LazyOpsTest.TestSelu (1 ms)
2022-11-23T02:28:02.0910472Z [ RUN      ] LazyOpsTest.TestSeluInPlace
2022-11-23T02:28:02.0939174Z [       OK ] LazyOpsTest.TestSeluInPlace (2 ms)
2022-11-23T02:28:02.0939914Z [ RUN      ] LazyOpsTest.TestCelu
2022-11-23T02:28:02.0948067Z [       OK ] LazyOpsTest.TestCelu (0 ms)
2022-11-23T02:28:02.0948592Z [ RUN      ] LazyOpsTest.TestCeluInPlace
2022-11-23T02:28:02.0961459Z [       OK ] LazyOpsTest.TestCeluInPlace (1 ms)
2022-11-23T02:28:02.0962107Z [ RUN      ] LazyOpsTest.TestGelu
2022-11-23T02:28:02.0981620Z [       OK ] LazyOpsTest.TestGelu (1 ms)
2022-11-23T02:28:02.0982138Z [ RUN      ] LazyOpsTest.TestAddMatMul
2022-11-23T02:28:02.1075530Z [       OK ] LazyOpsTest.TestAddMatMul (9 ms)
2022-11-23T02:28:02.1076081Z [ RUN      ] LazyOpsTest.TestEmbedding
2022-11-23T02:28:02.1100959Z [       OK ] LazyOpsTest.TestEmbedding (2 ms)
2022-11-23T02:28:02.1101503Z [ RUN      ] LazyOpsTest.TestOneHot
2022-11-23T02:28:02.1152398Z [       OK ] LazyOpsTest.TestOneHot (5 ms)
2022-11-23T02:28:02.1152941Z [ RUN      ] LazyOpsTest.TestTranspose
2022-11-23T02:28:02.1169841Z [       OK ] LazyOpsTest.TestTranspose (1 ms)
2022-11-23T02:28:02.1170438Z [ RUN      ] LazyOpsTest.TestTransposeInPlace
2022-11-23T02:28:02.1198110Z [       OK ] LazyOpsTest.TestTransposeInPlace (2 ms)
2022-11-23T02:28:02.1198657Z [ RUN      ] LazyOpsTest.TestReshape
2022-11-23T02:28:02.1259216Z [       OK ] LazyOpsTest.TestReshape (6 ms)
2022-11-23T02:28:02.1259523Z [ RUN      ] LazyOpsTest.TestResize
2022-11-23T02:28:02.1290640Z [       OK ] LazyOpsTest.TestResize (3 ms)
2022-11-23T02:28:02.1290950Z [ RUN      ] LazyOpsTest.TestViewResize
2022-11-23T02:28:02.1336418Z [       OK ] LazyOpsTest.TestViewResize (4 ms)
2022-11-23T02:28:02.1336725Z [ RUN      ] LazyOpsTest.TestView
2022-11-23T02:28:02.1397339Z [       OK ] LazyOpsTest.TestView (5 ms)
2022-11-23T02:28:02.1397725Z [ RUN      ] LazyOpsTest.TestViewMod
2022-11-23T02:28:02.1549128Z [       OK ] LazyOpsTest.TestViewMod (15 ms)
2022-11-23T02:28:02.1549596Z [ RUN      ] LazyOpsTest.TestViewModComplex
2022-11-23T02:28:02.1715255Z [       OK ] LazyOpsTest.TestViewModComplex (16 ms)
2022-11-23T02:28:02.1715588Z [ RUN      ] LazyOpsTest.TestViewOfViewMod
2022-11-23T02:28:02.2042300Z [       OK ] LazyOpsTest.TestViewOfViewMod (32 ms)
2022-11-23T02:28:02.2042661Z [ RUN      ] LazyOpsTest.TestViewSqueezeAddInPlace
2022-11-23T02:28:02.2097389Z [       OK ] LazyOpsTest.TestViewSqueezeAddInPlace (5 ms)
2022-11-23T02:28:02.2097725Z [ RUN      ] LazyOpsTest.TestUnsafeView
2022-11-23T02:28:02.2166216Z [       OK ] LazyOpsTest.TestUnsafeView (6 ms)
2022-11-23T02:28:02.2166528Z [ RUN      ] LazyOpsTest.TestNarrow
2022-11-23T02:28:02.2296133Z [       OK ] LazyOpsTest.TestNarrow (12 ms)
2022-11-23T02:28:02.2296722Z [ RUN      ] LazyOpsTest.TestNarrowUpdate
2022-11-23T02:28:02.2449324Z [       OK ] LazyOpsTest.TestNarrowUpdate (15 ms)
2022-11-23T02:28:02.2449962Z [ RUN      ] LazyOpsTest.TestNarrowUpdateBaseCheck
2022-11-23T02:28:02.2628885Z [       OK ] LazyOpsTest.TestNarrowUpdateBaseCheck (17 ms)
2022-11-23T02:28:02.2629499Z [ RUN      ] LazyOpsTest.TestNarrowUpdateTwoSlices
2022-11-23T02:28:02.3473350Z [       OK ] LazyOpsTest.TestNarrowUpdateTwoSlices (84 ms)
2022-11-23T02:28:02.3473869Z [ RUN      ] LazyOpsTest.TestNarrowUpdateView
2022-11-23T02:28:02.3644513Z [       OK ] LazyOpsTest.TestNarrowUpdateView (17 ms)
2022-11-23T02:28:02.3645117Z [ RUN      ] LazyOpsTest.TestNarrowInNarrowUpdate
2022-11-23T02:28:02.3967548Z [       OK ] LazyOpsTest.TestNarrowInNarrowUpdate (32 ms)
2022-11-23T02:28:02.3968120Z [ RUN      ] LazyOpsTest.TestNarrowCopy
2022-11-23T02:28:02.4026582Z [       OK ] LazyOpsTest.TestNarrowCopy (5 ms)
2022-11-23T02:28:02.4027136Z [ RUN      ] LazyOpsTest.TestViewAs
2022-11-23T02:28:02.4096655Z [       OK ] LazyOpsTest.TestViewAs (6 ms)
2022-11-23T02:28:02.4097218Z [ RUN      ] LazyOpsTest.TestLogSoftmax
2022-11-23T02:28:02.4254107Z [       OK ] LazyOpsTest.TestLogSoftmax (15 ms)
2022-11-23T02:28:02.4254610Z [ RUN      ] LazyOpsTest.TestLogSoftmaxCast
2022-11-23T02:28:02.4460151Z [       OK ] LazyOpsTest.TestLogSoftmaxCast (20 ms)
2022-11-23T02:28:02.4460535Z [ RUN      ] LazyOpsTest.TestLogSoftmaxWrapper
2022-11-23T02:28:02.4625579Z [       OK ] LazyOpsTest.TestLogSoftmaxWrapper (16 ms)
2022-11-23T02:28:02.4626120Z [ RUN      ] LazyOpsTest.TestSoftmax
2022-11-23T02:28:02.4776691Z [       OK ] LazyOpsTest.TestSoftmax (15 ms)
2022-11-23T02:28:02.4777260Z [ RUN      ] LazyOpsTest.TestSoftmaxCast
2022-11-23T02:28:02.4976433Z [       OK ] LazyOpsTest.TestSoftmaxCast (19 ms)
2022-11-23T02:28:02.4977025Z [ RUN      ] LazyOpsTest.TestSoftmaxWrapper
2022-11-23T02:28:02.5181776Z [       OK ] LazyOpsTest.TestSoftmaxWrapper (20 ms)
2022-11-23T02:28:02.5182219Z [ RUN      ] LazyOpsTest.TestSoftplus
2022-11-23T02:28:02.5203410Z [       OK ] LazyOpsTest.TestSoftplus (2 ms)
2022-11-23T02:28:02.5203730Z [ RUN      ] LazyOpsTest.TestMaxPool1D
2022-11-23T02:28:02.6004665Z [       OK ] LazyOpsTest.TestMaxPool1D (79 ms)
2022-11-23T02:28:02.6004985Z [ RUN      ] LazyOpsTest.TestMaxPool2D
2022-11-23T02:28:02.6441712Z [       OK ] LazyOpsTest.TestMaxPool2D (43 ms)
2022-11-23T02:28:02.6442066Z [ RUN      ] LazyOpsTest.TestMaxPool2DWithIndices
2022-11-23T02:28:02.7450138Z [       OK ] LazyOpsTest.TestMaxPool2DWithIndices (100 ms)
2022-11-23T02:28:02.7450546Z [ RUN      ] LazyOpsTest.TestMaxPool2DNonSquare
2022-11-23T02:28:02.7887738Z [       OK ] LazyOpsTest.TestMaxPool2DNonSquare (43 ms)
2022-11-23T02:28:02.7888096Z [ RUN      ] LazyOpsTest.TestMaxPool3D
2022-11-23T02:28:02.8033370Z [       OK ] LazyOpsTest.TestMaxPool3D (14 ms)
2022-11-23T02:28:02.8033749Z [ RUN      ] LazyOpsTest.TestMaxPool3DWithIndices
2022-11-23T02:28:02.8239774Z [       OK ] LazyOpsTest.TestMaxPool3DWithIndices (20 ms)
2022-11-23T02:28:02.8240202Z [ RUN      ] LazyOpsTest.TestMaxPool3DIncompleteAttributes
2022-11-23T02:28:02.8359341Z [       OK ] LazyOpsTest.TestMaxPool3DIncompleteAttributes (11 ms)
2022-11-23T02:28:02.8359754Z [ RUN      ] LazyOpsTest.TestMaxPool3DNonSquare
2022-11-23T02:28:02.8493745Z [       OK ] LazyOpsTest.TestMaxPool3DNonSquare (13 ms)
2022-11-23T02:28:02.8494130Z [ RUN      ] LazyOpsTest.TestMaxPool2DNoBatch
2022-11-23T02:28:02.8943368Z [       OK ] LazyOpsTest.TestMaxPool2DNoBatch (44 ms)
2022-11-23T02:28:02.8943699Z [ RUN      ] LazyOpsTest.TestMaxPool3DNoBatch
2022-11-23T02:28:02.9083317Z [       OK ] LazyOpsTest.TestMaxPool3DNoBatch (13 ms)
2022-11-23T02:28:02.9083646Z [ RUN      ] LazyOpsTest.TestAvgPool1D
2022-11-23T02:28:02.9621652Z [       OK ] LazyOpsTest.TestAvgPool1D (53 ms)
2022-11-23T02:28:02.9621985Z [ RUN      ] LazyOpsTest.TestAvgPool2D
2022-11-23T02:28:03.0201567Z [       OK ] LazyOpsTest.TestAvgPool2D (57 ms)
2022-11-23T02:28:03.0201945Z [ RUN      ] LazyOpsTest.TestAvgPool2DNonSquare
2022-11-23T02:28:03.0604083Z [       OK ] LazyOpsTest.TestAvgPool2DNonSquare (40 ms)
2022-11-23T02:28:03.0604581Z [ RUN      ] LazyOpsTest.TestAvgPool3D
2022-11-23T02:28:03.0722428Z [       OK ] LazyOpsTest.TestAvgPool3D (11 ms)
2022-11-23T02:28:03.0723125Z [ RUN      ] LazyOpsTest.TestAvgPool3DIncompleteAttributes
2022-11-23T02:28:03.0822999Z [       OK ] LazyOpsTest.TestAvgPool3DIncompleteAttributes (10 ms)
2022-11-23T02:28:03.0823630Z [ RUN      ] LazyOpsTest.TestAvgPool3DNonSquare
2022-11-23T02:28:03.0929607Z [       OK ] LazyOpsTest.TestAvgPool3DNonSquare (10 ms)
2022-11-23T02:28:03.0930236Z [ RUN      ] LazyOpsTest.TestAvgPool2DNoBatch
2022-11-23T02:28:03.1320874Z [       OK ] LazyOpsTest.TestAvgPool2DNoBatch (39 ms)
2022-11-23T02:28:03.1321232Z [ RUN      ] LazyOpsTest.TestAvgPool3DNoBatch
2022-11-23T02:28:03.1436477Z [       OK ] LazyOpsTest.TestAvgPool3DNoBatch (11 ms)
2022-11-23T02:28:03.1436849Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool2D
2022-11-23T02:28:03.1482324Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool2D (4 ms)
2022-11-23T02:28:03.1482672Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool3D
2022-11-23T02:28:03.2762698Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool3D (127 ms)
2022-11-23T02:28:03.2763104Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool3DNoBatch
2022-11-23T02:28:03.2858686Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool3DNoBatch (9 ms)
2022-11-23T02:28:03.2859136Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool2DNoBatch
2022-11-23T02:28:03.2906070Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool2DNoBatch (4 ms)
2022-11-23T02:28:03.2906571Z [ RUN      ] LazyOpsTest.TestMaxUnpool2D
2022-11-23T02:28:03.3071448Z [       OK ] LazyOpsTest.TestMaxUnpool2D (16 ms)
2022-11-23T02:28:03.3071907Z [ RUN      ] LazyOpsTest.TestMaxUnpool3D
2022-11-23T02:28:03.3209025Z [       OK ] LazyOpsTest.TestMaxUnpool3D (13 ms)
2022-11-23T02:28:03.3209466Z [ RUN      ] LazyOpsTest.TestNllLoss
2022-11-23T02:28:03.3210167Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:8184: Skipped
2022-11-23T02:28:03.3210449Z 
2022-11-23T02:28:03.3210800Z [  SKIPPED ] LazyOpsTest.TestNllLoss (0 ms)
2022-11-23T02:28:03.3211315Z [ RUN      ] LazyOpsTest.TestNllLoss2d
2022-11-23T02:28:03.3777730Z [       OK ] LazyOpsTest.TestNllLoss2d (56 ms)
2022-11-23T02:28:03.3778392Z [ RUN      ] LazyOpsTest.TestSmoothL1Loss
2022-11-23T02:28:03.3901456Z [       OK ] LazyOpsTest.TestSmoothL1Loss (12 ms)
2022-11-23T02:28:03.3902049Z [ RUN      ] LazyOpsTest.TestL1Loss
2022-11-23T02:28:03.3976545Z [       OK ] LazyOpsTest.TestL1Loss (7 ms)
2022-11-23T02:28:03.3977099Z [ RUN      ] LazyOpsTest.TestL1LossBackward
2022-11-23T02:28:03.4226690Z [       OK ] LazyOpsTest.TestL1LossBackward (24 ms)
2022-11-23T02:28:03.4227285Z [ RUN      ] LazyOpsTest.TestMseLoss
2022-11-23T02:28:03.4252515Z [       OK ] LazyOpsTest.TestMseLoss (2 ms)
2022-11-23T02:28:03.4253084Z [ RUN      ] LazyOpsTest.TestMseLossBackward
2022-11-23T02:28:03.4420783Z [       OK ] LazyOpsTest.TestMseLossBackward (16 ms)
2022-11-23T02:28:03.4421268Z [ RUN      ] LazyOpsTest.TestBatchNorm1D
2022-11-23T02:28:03.4552686Z [       OK ] LazyOpsTest.TestBatchNorm1D (13 ms)
2022-11-23T02:28:03.4553226Z [ RUN      ] LazyOpsTest.TestBatchNorm2D
2022-11-23T02:28:03.4687435Z [       OK ] LazyOpsTest.TestBatchNorm2D (13 ms)
2022-11-23T02:28:03.4687978Z [ RUN      ] LazyOpsTest.TestDim
2022-11-23T02:28:03.4688437Z [       OK ] LazyOpsTest.TestDim (0 ms)
2022-11-23T02:28:03.4688898Z [ RUN      ] LazyOpsTest.TestContiguous
2022-11-23T02:28:03.4695453Z [       OK ] LazyOpsTest.TestContiguous (0 ms)
2022-11-23T02:28:03.4695983Z [ RUN      ] LazyOpsTest.TestSqueezeAll
2022-11-23T02:28:03.4715704Z [       OK ] LazyOpsTest.TestSqueezeAll (2 ms)
2022-11-23T02:28:03.4716279Z [ RUN      ] LazyOpsTest.TestSqueezeAllInPlace
2022-11-23T02:28:03.4743847Z [       OK ] LazyOpsTest.TestSqueezeAllInPlace (2 ms)
2022-11-23T02:28:03.4744370Z [ RUN      ] LazyOpsTest.TestSqueezeOne
2022-11-23T02:28:03.4893040Z [       OK ] LazyOpsTest.TestSqueezeOne (14 ms)
2022-11-23T02:28:03.4893637Z [ RUN      ] LazyOpsTest.TestSqueezeOneInPlace
2022-11-23T02:28:03.5108525Z [       OK ] LazyOpsTest.TestSqueezeOneInPlace (21 ms)
2022-11-23T02:28:03.5109439Z [ RUN      ] LazyOpsTest.TestUnsqueeze
2022-11-23T02:28:03.5219151Z [       OK ] LazyOpsTest.TestUnsqueeze (11 ms)
2022-11-23T02:28:03.5219731Z [ RUN      ] LazyOpsTest.TestUnsqueezeInPlace
2022-11-23T02:28:03.5358072Z [       OK ] LazyOpsTest.TestUnsqueezeInPlace (13 ms)
2022-11-23T02:28:03.5358900Z [ RUN      ] LazyOpsTest.TestMaskedFill
2022-11-23T02:28:03.5379105Z [       OK ] LazyOpsTest.TestMaskedFill (2 ms)
2022-11-23T02:28:03.5379685Z [ RUN      ] LazyOpsTest.TestMaskedFillInPlace
2022-11-23T02:28:03.5409552Z [       OK ] LazyOpsTest.TestMaskedFillInPlace (3 ms)
2022-11-23T02:28:03.5410188Z [ RUN      ] LazyOpsTest.TestMaskedFillBroadcast
2022-11-23T02:28:03.5431927Z [       OK ] LazyOpsTest.TestMaskedFillBroadcast (2 ms)
2022-11-23T02:28:03.5461788Z [ RUN      ] LazyOpsTest.TestFill
2022-11-23T02:28:03.5462271Z [       OK ] LazyOpsTest.TestFill (2 ms)
2022-11-23T02:28:03.5462801Z [ RUN      ] LazyOpsTest.TestFillWithRank0
2022-11-23T02:28:03.5474724Z [       OK ] LazyOpsTest.TestFillWithRank0 (1 ms)
2022-11-23T02:28:03.5475222Z [ RUN      ] LazyOpsTest.TestPermute
2022-11-23T02:28:03.5713169Z [       OK ] LazyOpsTest.TestPermute (23 ms)
2022-11-23T02:28:03.5713737Z [ RUN      ] LazyOpsTest.TestPermuteMod
2022-11-23T02:28:03.6504875Z [       OK ] LazyOpsTest.TestPermuteMod (79 ms)
2022-11-23T02:28:03.6505417Z [ RUN      ] LazyOpsTest.TestFlip
2022-11-23T02:28:03.6894032Z [       OK ] LazyOpsTest.TestFlip (38 ms)
2022-11-23T02:28:03.6894584Z [ RUN      ] LazyOpsTest.TestPixelShuffle
2022-11-23T02:28:03.6936213Z [       OK ] LazyOpsTest.TestPixelShuffle (4 ms)
2022-11-23T02:28:03.6936739Z [ RUN      ] LazyOpsTest.TestSumToSize
2022-11-23T02:28:03.6960053Z [       OK ] LazyOpsTest.TestSumToSize (2 ms)
2022-11-23T02:28:03.6960591Z [ RUN      ] LazyOpsTest.TestTransposeDims
2022-11-23T02:28:03.6981698Z [       OK ] LazyOpsTest.TestTransposeDims (2 ms)
2022-11-23T02:28:03.6982256Z [ RUN      ] LazyOpsTest.TestTransposeDimsMod
2022-11-23T02:28:03.7050644Z [       OK ] LazyOpsTest.TestTransposeDimsMod (6 ms)
2022-11-23T02:28:03.7051279Z [ RUN      ] LazyOpsTest.TestTransposeDimsInPlace
2022-11-23T02:28:03.7082802Z [       OK ] LazyOpsTest.TestTransposeDimsInPlace (3 ms)
2022-11-23T02:28:03.7083330Z [ RUN      ] LazyOpsTest.TestSplit
2022-11-23T02:28:03.7296027Z [       OK ] LazyOpsTest.TestSplit (21 ms)
2022-11-23T02:28:03.7296587Z [ RUN      ] LazyOpsTest.TestSplitEmpty
2022-11-23T02:28:03.7302706Z [       OK ] LazyOpsTest.TestSplitEmpty (0 ms)
2022-11-23T02:28:03.7303290Z [ RUN      ] LazyOpsTest.TestSplitWithSizes
2022-11-23T02:28:03.7471310Z [       OK ] LazyOpsTest.TestSplitWithSizes (16 ms)
2022-11-23T02:28:03.7471926Z [ RUN      ] LazyOpsTest.TestCrossImplicitDim
2022-11-23T02:28:03.7496155Z [       OK ] LazyOpsTest.TestCrossImplicitDim (2 ms)
2022-11-23T02:28:03.7496766Z [ RUN      ] LazyOpsTest.TestCrossExplicitDim
2022-11-23T02:28:03.7524115Z [       OK ] LazyOpsTest.TestCrossExplicitDim (2 ms)
2022-11-23T02:28:03.7524716Z [ RUN      ] LazyOpsTest.TestCrossZeroDim
2022-11-23T02:28:03.7531249Z [       OK ] LazyOpsTest.TestCrossZeroDim (0 ms)
2022-11-23T02:28:03.7531628Z [ RUN      ] LazyOpsTest.TestTriu
2022-11-23T02:28:03.7730362Z [       OK ] LazyOpsTest.TestTriu (19 ms)
2022-11-23T02:28:03.7730885Z [ RUN      ] LazyOpsTest.TestTriuNonSquare
2022-11-23T02:28:03.7929667Z [       OK ] LazyOpsTest.TestTriuNonSquare (19 ms)
2022-11-23T02:28:03.7930080Z [ RUN      ] LazyOpsTest.TestTriuBatch
2022-11-23T02:28:03.8132070Z [       OK ] LazyOpsTest.TestTriuBatch (20 ms)
2022-11-23T02:28:03.8132377Z [ RUN      ] LazyOpsTest.TestTril
2022-11-23T02:28:03.8329535Z [       OK ] LazyOpsTest.TestTril (19 ms)
2022-11-23T02:28:03.8329892Z [ RUN      ] LazyOpsTest.TestTrilNonSquare
2022-11-23T02:28:03.8524326Z [       OK ] LazyOpsTest.TestTrilNonSquare (19 ms)
2022-11-23T02:28:03.8524742Z [ RUN      ] LazyOpsTest.TestTrilBatch
2022-11-23T02:28:03.8723413Z [       OK ] LazyOpsTest.TestTrilBatch (19 ms)
2022-11-23T02:28:03.8723797Z [ RUN      ] LazyOpsTest.TestTriuInPlace
2022-11-23T02:28:03.9020305Z [       OK ] LazyOpsTest.TestTriuInPlace (29 ms)
2022-11-23T02:28:03.9020629Z [ RUN      ] LazyOpsTest.TestTrilInPlace
2022-11-23T02:28:03.9309425Z [       OK ] LazyOpsTest.TestTrilInPlace (28 ms)
2022-11-23T02:28:03.9309734Z [ RUN      ] LazyOpsTest.TestTrace
2022-11-23T02:28:03.9327493Z [       OK ] LazyOpsTest.TestTrace (1 ms)
2022-11-23T02:28:03.9327866Z [ RUN      ] LazyOpsTest.TestTraceWide
2022-11-23T02:28:03.9344538Z [       OK ] LazyOpsTest.TestTraceWide (1 ms)
2022-11-23T02:28:03.9344918Z [ RUN      ] LazyOpsTest.TestTraceNarrow
2022-11-23T02:28:03.9361002Z [       OK ] LazyOpsTest.TestTraceNarrow (1 ms)
2022-11-23T02:28:03.9361389Z [ RUN      ] LazyOpsTest.TestDiagRank1
2022-11-23T02:28:04.0556999Z [       OK ] LazyOpsTest.TestDiagRank1 (119 ms)
2022-11-23T02:28:04.0557574Z [ RUN      ] LazyOpsTest.TestDiagRank2
2022-11-23T02:28:04.0832776Z [       OK ] LazyOpsTest.TestDiagRank2 (27 ms)
2022-11-23T02:28:04.0833083Z [ RUN      ] LazyOpsTest.TestDiagFlat
2022-11-23T02:28:04.8737961Z [       OK ] LazyOpsTest.TestDiagFlat (790 ms)
2022-11-23T02:28:04.8738619Z [ RUN      ] LazyOpsTest.TestDiagonal
2022-11-23T02:28:04.8957046Z [       OK ] LazyOpsTest.TestDiagonal (21 ms)
2022-11-23T02:28:04.8958062Z [ RUN      ] LazyOpsTest.TestDiagonalUpdate
2022-11-23T02:28:04.9433680Z [       OK ] LazyOpsTest.TestDiagonalUpdate (47 ms)
2022-11-23T02:28:04.9434327Z [ RUN      ] LazyOpsTest.TestDiagonalNonSquare
2022-11-23T02:28:04.9635205Z [       OK ] LazyOpsTest.TestDiagonalNonSquare (20 ms)
2022-11-23T02:28:04.9635797Z [ RUN      ] LazyOpsTest.TestDiagonalBatch
2022-11-23T02:28:04.9840196Z [       OK ] LazyOpsTest.TestDiagonalBatch (20 ms)
2022-11-23T02:28:04.9840804Z [ RUN      ] LazyOpsTest.TestFlatten
2022-11-23T02:28:05.0318375Z [       OK ] LazyOpsTest.TestFlatten (47 ms)
2022-11-23T02:28:05.0318896Z [ RUN      ] LazyOpsTest.TestLogicalAnd
2022-11-23T02:28:05.0483348Z [       OK ] LazyOpsTest.TestLogicalAnd (16 ms)
2022-11-23T02:28:05.0483901Z [ RUN      ] LazyOpsTest.TestBitwiseAnd
2022-11-23T02:28:05.0504409Z [       OK ] LazyOpsTest.TestBitwiseAnd (2 ms)
2022-11-23T02:28:05.0505005Z [ RUN      ] LazyOpsTest.TestBitwiseAndInPlace
2022-11-23T02:28:05.0529915Z [       OK ] LazyOpsTest.TestBitwiseAndInPlace (2 ms)
2022-11-23T02:28:05.0530310Z [ RUN      ] LazyOpsTest.TestBitwiseAndScalar
2022-11-23T02:28:05.0548790Z [       OK ] LazyOpsTest.TestBitwiseAndScalar (1 ms)
2022-11-23T02:28:05.0549284Z [ RUN      ] LazyOpsTest.TestBitwiseAndScalarInPlace
2022-11-23T02:28:05.0572105Z [       OK ] LazyOpsTest.TestBitwiseAndScalarInPlace (2 ms)
2022-11-23T02:28:05.0572653Z [ RUN      ] LazyOpsTest.TestBitwiseAndPromotion
2022-11-23T02:28:05.0603124Z [       OK ] LazyOpsTest.TestBitwiseAndPromotion (3 ms)
2022-11-23T02:28:05.0603648Z [ RUN      ] LazyOpsTest.TestBitwiseOr
2022-11-23T02:28:05.0621115Z [       OK ] LazyOpsTest.TestBitwiseOr (1 ms)
2022-11-23T02:28:05.0621709Z [ RUN      ] LazyOpsTest.TestBitwiseOrInPlace
2022-11-23T02:28:05.0644907Z [       OK ] LazyOpsTest.TestBitwiseOrInPlace (2 ms)
2022-11-23T02:28:05.0645473Z [ RUN      ] LazyOpsTest.TestBitwiseOrScalar
2022-11-23T02:28:05.0661513Z [       OK ] LazyOpsTest.TestBitwiseOrScalar (1 ms)
2022-11-23T02:28:05.0662343Z [ RUN      ] LazyOpsTest.TestBitwiseOrScalarInPlace
2022-11-23T02:28:05.0684122Z [       OK ] LazyOpsTest.TestBitwiseOrScalarInPlace (2 ms)
2022-11-23T02:28:05.0684707Z [ RUN      ] LazyOpsTest.TestBitwiseXor
2022-11-23T02:28:05.0690364Z [       OK ] LazyOpsTest.TestBitwiseXor (0 ms)
2022-11-23T02:28:05.0690893Z [ RUN      ] LazyOpsTest.TestBitwiseXorInPlace
2022-11-23T02:28:05.0697857Z [       OK ] LazyOpsTest.TestBitwiseXorInPlace (0 ms)
2022-11-23T02:28:05.0698546Z [ RUN      ] LazyOpsTest.TestBitwiseXorScalar
2022-11-23T02:28:05.0703054Z [       OK ] LazyOpsTest.TestBitwiseXorScalar (0 ms)
2022-11-23T02:28:05.0703683Z [ RUN      ] LazyOpsTest.TestBitwiseXorScalarInPlace
2022-11-23T02:28:05.0709465Z [       OK ] LazyOpsTest.TestBitwiseXorScalarInPlace (0 ms)
2022-11-23T02:28:05.0710019Z [ RUN      ] LazyOpsTest.TestLshift
2022-11-23T02:28:05.0719732Z [       OK ] LazyOpsTest.TestLshift (0 ms)
2022-11-23T02:28:05.0720265Z [ RUN      ] LazyOpsTest.TestLshiftInPlace
2022-11-23T02:28:05.0732546Z [       OK ] LazyOpsTest.TestLshiftInPlace (1 ms)
2022-11-23T02:28:05.0733178Z [ RUN      ] LazyOpsTest.TestLshiftScalar
2022-11-23T02:28:05.0740498Z [       OK ] LazyOpsTest.TestLshiftScalar (0 ms)
2022-11-23T02:28:05.0741089Z [ RUN      ] LazyOpsTest.TestLshiftScalarInPlace
2022-11-23T02:28:05.0752769Z [       OK ] LazyOpsTest.TestLshiftScalarInPlace (1 ms)
2022-11-23T02:28:05.0753370Z [ RUN      ] LazyOpsTest.TestRshift
2022-11-23T02:28:05.0762022Z [       OK ] LazyOpsTest.TestRshift (0 ms)
2022-11-23T02:28:05.0762600Z [ RUN      ] LazyOpsTest.TestRshiftInPlace
2022-11-23T02:28:05.0775128Z [       OK ] LazyOpsTest.TestRshiftInPlace (1 ms)
2022-11-23T02:28:05.0775705Z [ RUN      ] LazyOpsTest.TestRshiftScalar
2022-11-23T02:28:05.0783541Z [       OK ] LazyOpsTest.TestRshiftScalar (0 ms)
2022-11-23T02:28:05.0784129Z [ RUN      ] LazyOpsTest.TestRshiftScalarInPlace
2022-11-23T02:28:05.0795812Z [       OK ] LazyOpsTest.TestRshiftScalarInPlace (1 ms)
2022-11-23T02:28:05.0796404Z [ RUN      ] LazyOpsTest.TestMeshgrid
2022-11-23T02:28:05.0797469Z [W TensorShape.cpp:3433] Warning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (function operator())
2022-11-23T02:28:05.0874095Z [       OK ] LazyOpsTest.TestMeshgrid (7 ms)
2022-11-23T02:28:05.0874664Z [ RUN      ] LazyOpsTest.TestConstantPad
2022-11-23T02:28:05.0900848Z [       OK ] LazyOpsTest.TestConstantPad (2 ms)
2022-11-23T02:28:05.0901414Z [ RUN      ] LazyOpsTest.TestConstantPadIncomplete
2022-11-23T02:28:05.0921661Z [       OK ] LazyOpsTest.TestConstantPadIncomplete (2 ms)
2022-11-23T02:28:05.0922277Z [ RUN      ] LazyOpsTest.TestReflectionPad2dRank3
2022-11-23T02:28:05.0931025Z [       OK ] LazyOpsTest.TestReflectionPad2dRank3 (0 ms)
2022-11-23T02:28:05.0931626Z [ RUN      ] LazyOpsTest.TestReflectionPad2dRank4
2022-11-23T02:28:05.0940751Z [       OK ] LazyOpsTest.TestReflectionPad2dRank4 (0 ms)
2022-11-23T02:28:05.0941425Z [ RUN      ] LazyOpsTest.TestReflectionPad2dBackward
2022-11-23T02:28:05.0998123Z [       OK ] LazyOpsTest.TestReflectionPad2dBackward (5 ms)
2022-11-23T02:28:05.0998701Z [ RUN      ] LazyOpsTest.TestReplicationPad1d
2022-11-23T02:28:05.1006038Z [       OK ] LazyOpsTest.TestReplicationPad1d (0 ms)
2022-11-23T02:28:05.1006683Z [ RUN      ] LazyOpsTest.TestReplicationPad1dZeroPad
2022-11-23T02:28:05.1013655Z [       OK ] LazyOpsTest.TestReplicationPad1dZeroPad (0 ms)
2022-11-23T02:28:05.1014303Z [ RUN      ] LazyOpsTest.TestReplicationPad1dBackward
2022-11-23T02:28:05.1060722Z [       OK ] LazyOpsTest.TestReplicationPad1dBackward (4 ms)
2022-11-23T02:28:05.1061477Z [ RUN      ] LazyOpsTest.TestReplicationPad2d
2022-11-23T02:28:05.1068919Z [       OK ] LazyOpsTest.TestReplicationPad2d (0 ms)
2022-11-23T02:28:05.1069577Z [ RUN      ] LazyOpsTest.TestReplicationPad2dZeroPad
2022-11-23T02:28:05.1076824Z [       OK ] LazyOpsTest.TestReplicationPad2dZeroPad (0 ms)
2022-11-23T02:28:05.1077591Z [ RUN      ] LazyOpsTest.TestReplicationPad2dBackward
2022-11-23T02:28:05.1133562Z [       OK ] LazyOpsTest.TestReplicationPad2dBackward (5 ms)
2022-11-23T02:28:05.1134139Z [ RUN      ] LazyOpsTest.TestAsStrided
2022-11-23T02:28:05.1289611Z [       OK ] LazyOpsTest.TestAsStrided (15 ms)
2022-11-23T02:28:05.1290208Z [ RUN      ] LazyOpsTest.TestAsStridedInPlace
2022-11-23T02:28:05.1566856Z [       OK ] LazyOpsTest.TestAsStridedInPlace (27 ms)
2022-11-23T02:28:05.1567440Z [ RUN      ] LazyOpsTest.TestAsStridedWithOffset
2022-11-23T02:28:05.1600328Z [       OK ] LazyOpsTest.TestAsStridedWithOffset (3 ms)
2022-11-23T02:28:05.1600929Z [ RUN      ] LazyOpsTest.TestAsStridedWithInplaceCopy
2022-11-23T02:28:05.1654506Z [       OK ] LazyOpsTest.TestAsStridedWithInplaceCopy (5 ms)
2022-11-23T02:28:05.1655134Z [ RUN      ] LazyOpsTest.TestEmptyStrided
2022-11-23T02:28:05.1655465Z [       OK ] LazyOpsTest.TestEmptyStrided (0 ms)
2022-11-23T02:28:05.1655792Z [ RUN      ] LazyOpsTest.TestAvgPool2DBackward
2022-11-23T02:28:05.2806310Z [       OK ] LazyOpsTest.TestAvgPool2DBackward (114 ms)
2022-11-23T02:28:05.2806929Z [ RUN      ] LazyOpsTest.TestAvgPool3DBackward
2022-11-23T02:28:05.3463330Z [       OK ] LazyOpsTest.TestAvgPool3DBackward (65 ms)
2022-11-23T02:28:05.3464001Z [ RUN      ] LazyOpsTest.TestAvgPool2DNoBatchBackward
2022-11-23T02:28:05.4610262Z [       OK ] LazyOpsTest.TestAvgPool2DNoBatchBackward (114 ms)
2022-11-23T02:28:05.4610994Z [ RUN      ] LazyOpsTest.TestAvgPool3DNoBatchBackward
2022-11-23T02:28:05.5265025Z [       OK ] LazyOpsTest.TestAvgPool3DNoBatchBackward (65 ms)
2022-11-23T02:28:05.5265836Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool3DNoBatchBackward
2022-11-23T02:28:05.5691498Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool3DNoBatchBackward (42 ms)
2022-11-23T02:28:05.5692327Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool3DBackward
2022-11-23T02:28:05.6396195Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool3DBackward (70 ms)
2022-11-23T02:28:05.6396968Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool2DBackward
2022-11-23T02:28:05.6667890Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool2DBackward (27 ms)
2022-11-23T02:28:05.6668626Z [ RUN      ] LazyOpsTest.TestAdaptiveAvgPool2DNoBatchBackward
2022-11-23T02:28:05.6815093Z [       OK ] LazyOpsTest.TestAdaptiveAvgPool2DNoBatchBackward (14 ms)
2022-11-23T02:28:05.6815767Z [ RUN      ] LazyOpsTest.TestConv2D
2022-11-23T02:28:06.2813086Z [       OK ] LazyOpsTest.TestConv2D (599 ms)
2022-11-23T02:28:06.2813671Z [ RUN      ] LazyOpsTest.TestConv2DBackward
2022-11-23T02:28:08.8323252Z [       OK ] LazyOpsTest.TestConv2DBackward (2551 ms)
2022-11-23T02:28:08.8323682Z [ RUN      ] LazyOpsTest.TestTransposedConv2DBackward
2022-11-23T02:28:11.0236814Z [       OK ] LazyOpsTest.TestTransposedConv2DBackward (2191 ms)
2022-11-23T02:28:11.0237712Z [ RUN      ] LazyOpsTest.TestConv3DBackward
2022-11-23T02:28:13.0374882Z [       OK ] LazyOpsTest.TestConv3DBackward (2013 ms)
2022-11-23T02:28:13.0375556Z [ RUN      ] LazyOpsTest.TestTransposedConv3DBackward
2022-11-23T02:28:17.8716297Z [       OK ] LazyOpsTest.TestTransposedConv3DBackward (4834 ms)
2022-11-23T02:28:17.8716929Z [ RUN      ] LazyOpsTest.TestMaxPool2DBackward
2022-11-23T02:28:17.9441050Z [       OK ] LazyOpsTest.TestMaxPool2DBackward (72 ms)
2022-11-23T02:28:17.9442068Z [ RUN      ] LazyOpsTest.TestMaxPool3DBackward
2022-11-23T02:28:17.9839243Z [       OK ] LazyOpsTest.TestMaxPool3DBackward (39 ms)
2022-11-23T02:28:17.9839936Z [ RUN      ] LazyOpsTest.TestMaxPool2DNoBatchBackward
2022-11-23T02:28:18.0562092Z [       OK ] LazyOpsTest.TestMaxPool2DNoBatchBackward (72 ms)
2022-11-23T02:28:18.0562881Z [ RUN      ] LazyOpsTest.TestMaxPool3DNoBatchBackward
2022-11-23T02:28:18.0962946Z [       OK ] LazyOpsTest.TestMaxPool3DNoBatchBackward (40 ms)
2022-11-23T02:28:18.0963361Z [ RUN      ] LazyOpsTest.TestMaxUnpool2DBackward
2022-11-23T02:28:18.2425385Z [       OK ] LazyOpsTest.TestMaxUnpool2DBackward (146 ms)
2022-11-23T02:28:18.2425776Z [ RUN      ] LazyOpsTest.TestMaxUnpool3DBackward
2022-11-23T02:28:18.3561398Z [       OK ] LazyOpsTest.TestMaxUnpool3DBackward (113 ms)
2022-11-23T02:28:18.3561991Z [ RUN      ] LazyOpsTest.TestTanhBackward
2022-11-23T02:28:18.3637995Z [       OK ] LazyOpsTest.TestTanhBackward (7 ms)
2022-11-23T02:28:18.3638579Z [ RUN      ] LazyOpsTest.TestSigmoidBackward
2022-11-23T02:28:18.3699894Z [       OK ] LazyOpsTest.TestSigmoidBackward (6 ms)
2022-11-23T02:28:18.3700509Z [ RUN      ] LazyOpsTest.TestLogSigmoidBackward
2022-11-23T02:28:18.3790641Z [       OK ] LazyOpsTest.TestLogSigmoidBackward (9 ms)
2022-11-23T02:28:18.3791262Z [ RUN      ] LazyOpsTest.TestLogSoftmaxBackward
2022-11-23T02:28:18.4284353Z [       OK ] LazyOpsTest.TestLogSoftmaxBackward (49 ms)
2022-11-23T02:28:18.4285016Z [ RUN      ] LazyOpsTest.TestSoftmaxBackward
2022-11-23T02:28:18.4841498Z [       OK ] LazyOpsTest.TestSoftmaxBackward (55 ms)
2022-11-23T02:28:18.4842100Z [ RUN      ] LazyOpsTest.TestSoftplusBackward
2022-11-23T02:28:18.4907271Z [       OK ] LazyOpsTest.TestSoftplusBackward (6 ms)
2022-11-23T02:28:18.4907915Z [ RUN      ] LazyOpsTest.TestReluBackward
2022-11-23T02:28:18.4968293Z [       OK ] LazyOpsTest.TestReluBackward (6 ms)
2022-11-23T02:28:18.4968875Z [ RUN      ] LazyOpsTest.TestRreluBackward
2022-11-23T02:28:18.5035850Z [       OK ] LazyOpsTest.TestRreluBackward (6 ms)
2022-11-23T02:28:18.5036490Z [ RUN      ] LazyOpsTest.TestHardshrinkBackward
2022-11-23T02:28:18.5093656Z [       OK ] LazyOpsTest.TestHardshrinkBackward (5 ms)
2022-11-23T02:28:18.5094288Z [ RUN      ] LazyOpsTest.TestSoftshrinkBackward
2022-11-23T02:28:18.5162695Z [       OK ] LazyOpsTest.TestSoftshrinkBackward (6 ms)
2022-11-23T02:28:18.5163303Z [ RUN      ] LazyOpsTest.TestHardtanhBackward
2022-11-23T02:28:18.5194155Z [       OK ] LazyOpsTest.TestHardtanhBackward (3 ms)
2022-11-23T02:28:18.5194702Z [ RUN      ] LazyOpsTest.TestEluBackward
2022-11-23T02:28:18.5262852Z [       OK ] LazyOpsTest.TestEluBackward (6 ms)
2022-11-23T02:28:18.5263430Z [ RUN      ] LazyOpsTest.TestGeluBackward
2022-11-23T02:28:18.5326416Z [       OK ] LazyOpsTest.TestGeluBackward (6 ms)
2022-11-23T02:28:18.5326991Z [ RUN      ] LazyOpsTest.TestLeakyReluBackward
2022-11-23T02:28:18.5389507Z [       OK ] LazyOpsTest.TestLeakyReluBackward (6 ms)
2022-11-23T02:28:18.5390122Z [ RUN      ] LazyOpsTest.TestTransposeBackward
2022-11-23T02:28:18.5445107Z [       OK ] LazyOpsTest.TestTransposeBackward (5 ms)
2022-11-23T02:28:18.5445779Z [ RUN      ] LazyOpsTest.TestAddMatMulBackward
2022-11-23T02:28:18.6023080Z [       OK ] LazyOpsTest.TestAddMatMulBackward (57 ms)
2022-11-23T02:28:18.6023767Z [ RUN      ] LazyOpsTest.TestBinaryCrossEntropyBackward
2022-11-23T02:28:18.6478054Z [       OK ] LazyOpsTest.TestBinaryCrossEntropyBackward (45 ms)
2022-11-23T02:28:18.6478741Z [ RUN      ] LazyOpsTest.TestNllLossBackward
2022-11-23T02:28:18.6479226Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:10965: Skipped
2022-11-23T02:28:18.6479818Z 
2022-11-23T02:28:18.6480156Z [  SKIPPED ] LazyOpsTest.TestNllLossBackward (0 ms)
2022-11-23T02:28:18.6480690Z [ RUN      ] LazyOpsTest.TestNllLoss2dBackward
2022-11-23T02:28:18.8625334Z [       OK ] LazyOpsTest.TestNllLoss2dBackward (214 ms)
2022-11-23T02:28:18.8626041Z [ RUN      ] LazyOpsTest.TestSmoothL1LossBackward
2022-11-23T02:28:18.9063101Z [       OK ] LazyOpsTest.TestSmoothL1LossBackward (43 ms)
2022-11-23T02:28:18.9063757Z [ RUN      ] LazyOpsTest.TestViewBackward
2022-11-23T02:28:18.9202570Z [       OK ] LazyOpsTest.TestViewBackward (14 ms)
2022-11-23T02:28:18.9202956Z [ RUN      ] LazyOpsTest.TestBatchNorm2DBackward
2022-11-23T02:28:18.9554432Z [       OK ] LazyOpsTest.TestBatchNorm2DBackward (35 ms)
2022-11-23T02:28:18.9554871Z [ RUN      ] LazyOpsTest.TestBatchNorm3DBackward
2022-11-23T02:28:18.9905801Z [       OK ] LazyOpsTest.TestBatchNorm3DBackward (35 ms)
2022-11-23T02:28:18.9906244Z [ RUN      ] LazyOpsTest.TestBCEWithLogitsBackward
2022-11-23T02:28:19.2327131Z [       OK ] LazyOpsTest.TestBCEWithLogitsBackward (242 ms)
2022-11-23T02:28:19.2327647Z [ RUN      ] LazyOpsTest.TestKlDivBackward
2022-11-23T02:28:19.2878920Z [       OK ] LazyOpsTest.TestKlDivBackward (55 ms)
2022-11-23T02:28:19.2879439Z [ RUN      ] LazyOpsTest.TestEmbeddingBackward
2022-11-23T02:28:19.7894262Z [       OK ] LazyOpsTest.TestEmbeddingBackward (501 ms)
2022-11-23T02:28:19.7894762Z [ RUN      ] LazyOpsTest.TestAmpForeachNonFiniteCheckAndUnscale
2022-11-23T02:28:19.7895796Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:11362: Skipped
2022-11-23T02:28:19.7896055Z 
2022-11-23T02:28:19.7896434Z [  SKIPPED ] LazyOpsTest.TestAmpForeachNonFiniteCheckAndUnscale (0 ms)
2022-11-23T02:28:19.7897003Z [ RUN      ] LazyOpsTest.TestAmpUpdateScale
2022-11-23T02:28:19.7897484Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:11411: Skipped
2022-11-23T02:28:19.7897735Z 
2022-11-23T02:28:19.7898157Z [  SKIPPED ] LazyOpsTest.TestAmpUpdateScale (0 ms)
2022-11-23T02:28:19.7898721Z [ RUN      ] LazyOpsTest.TestEarlySyncLiveTensors
2022-11-23T02:28:19.7900948Z [       OK ] LazyOpsTest.TestEarlySyncLiveTensors (0 ms)
2022-11-23T02:28:19.7901545Z [ RUN      ] LazyOpsTest.TestLerp
2022-11-23T02:28:19.7910683Z [       OK ] LazyOpsTest.TestLerp (0 ms)
2022-11-23T02:28:19.7911213Z [ RUN      ] LazyOpsTest.TestLerpScalar
2022-11-23T02:28:19.7919527Z [       OK ] LazyOpsTest.TestLerpScalar (0 ms)
2022-11-23T02:28:19.7920086Z [ RUN      ] LazyOpsTest.TestLerpInplace
2022-11-23T02:28:19.7929607Z [       OK ] LazyOpsTest.TestLerpInplace (1 ms)
2022-11-23T02:28:19.7930187Z [ RUN      ] LazyOpsTest.TestLerpScalarInplace
2022-11-23T02:28:19.7938988Z [       OK ] LazyOpsTest.TestLerpScalarInplace (0 ms)
2022-11-23T02:28:19.7939568Z [ RUN      ] LazyOpsTest.TestLerpOut
2022-11-23T02:28:19.7949613Z [       OK ] LazyOpsTest.TestLerpOut (0 ms)
2022-11-23T02:28:19.7950203Z [ RUN      ] LazyOpsTest.TestLerpScalarOut
2022-11-23T02:28:19.7958513Z [       OK ] LazyOpsTest.TestLerpScalarOut (0 ms)
2022-11-23T02:28:19.7959069Z [ RUN      ] LazyOpsTest.IsAliasOf
2022-11-23T02:28:19.7964228Z [       OK ] LazyOpsTest.IsAliasOf (0 ms)
2022-11-23T02:28:19.7964840Z [----------] 575 tests from LazyOpsTest (22046 ms total)
2022-11-23T02:28:19.7965106Z 
2022-11-23T02:28:19.7965285Z [----------] Global test environment tear-down
2022-11-23T02:28:19.8136419Z [==========] 612 tests from 10 test suites ran. (22101 ms total)
2022-11-23T02:28:19.8136832Z [  PASSED  ] 608 tests.
2022-11-23T02:28:19.8137089Z [  SKIPPED ] 4 tests, listed below:
2022-11-23T02:28:19.8137540Z [  SKIPPED ] LazyOpsTest.TestNllLoss
2022-11-23T02:28:19.8137883Z [  SKIPPED ] LazyOpsTest.TestNllLossBackward
2022-11-23T02:28:19.8138502Z [  SKIPPED ] LazyOpsTest.TestAmpForeachNonFiniteCheckAndUnscale
2022-11-23T02:28:19.8139045Z [  SKIPPED ] LazyOpsTest.TestAmpUpdateScale
2022-11-23T02:28:20.2060570Z + [[ linux-focal-py3.7-clang7-asan != *-tsan* ]]
2022-11-23T02:28:20.2060872Z + python test/cpp/jit/tests_setup.py shutdown
2022-11-23T02:28:24.1976238Z + wait
2022-11-23T02:28:24.1976711Z + OMP_NUM_THREADS=2
2022-11-23T02:28:24.1976953Z + TORCH_CPP_TEST_MNIST_PATH=test/cpp/api/mnist
2022-11-23T02:28:24.1977595Z + /opt/conda/lib/python3.7/site-packages/torch/bin/test_api '--gtest_filter=-IMethodTest.*' --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/test_api.xml
2022-11-23T02:28:26.4618353Z CUDA not available. Disabling CUDA and MultiCUDA tests
2022-11-23T02:28:26.4640417Z Note: Google Test filter = -IMethodTest.*:*_CUDA:*_MultiCUDA
2022-11-23T02:28:26.4640834Z [==========] Running 992 tests from 48 test suites.
2022-11-23T02:28:26.4641136Z [----------] Global test environment set-up.
2022-11-23T02:28:26.4641436Z [----------] 9 tests from AutogradAPITests
2022-11-23T02:28:26.4641770Z [ RUN      ] AutogradAPITests.BackwardSimpleTest
2022-11-23T02:28:26.4878793Z [       OK ] AutogradAPITests.BackwardSimpleTest (23 ms)
2022-11-23T02:28:26.4879378Z [ RUN      ] AutogradAPITests.BackwardTest
2022-11-23T02:28:26.4881830Z [W engine.cpp:1127] Warning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (function operator())
2022-11-23T02:28:26.4902707Z [       OK ] AutogradAPITests.BackwardTest (2 ms)
2022-11-23T02:28:26.4903291Z [ RUN      ] AutogradAPITests.GradSimpleTest
2022-11-23T02:28:26.4918107Z [       OK ] AutogradAPITests.GradSimpleTest (1 ms)
2022-11-23T02:28:26.4918644Z [ RUN      ] AutogradAPITests.GradTest
2022-11-23T02:28:26.4948081Z [       OK ] AutogradAPITests.GradTest (2 ms)
2022-11-23T02:28:26.4948638Z [ RUN      ] AutogradAPITests.GradNonLeafTest
2022-11-23T02:28:26.4966547Z [W TensorBody.h:485] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (function grad)
2022-11-23T02:28:26.4975724Z [W TensorBody.h:485] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (function grad)
2022-11-23T02:28:26.4984958Z [W TensorBody.h:485] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (function grad)
2022-11-23T02:28:26.4994337Z [W TensorBody.h:485] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (function grad)
2022-11-23T02:28:26.5008601Z [       OK ] AutogradAPITests.GradNonLeafTest (6 ms)
2022-11-23T02:28:26.5009218Z [ RUN      ] AutogradAPITests.GradUnreachableTest
2022-11-23T02:28:26.5157831Z [       OK ] AutogradAPITests.GradUnreachableTest (14 ms)
2022-11-23T02:28:26.5158185Z [ RUN      ] AutogradAPITests.EmptyInput
2022-11-23T02:28:26.5208936Z [       OK ] AutogradAPITests.EmptyInput (5 ms)
2022-11-23T02:28:26.5209313Z [ RUN      ] AutogradAPITests.RetainGrad
2022-11-23T02:28:26.5236773Z [       OK ] AutogradAPITests.RetainGrad (2 ms)
2022-11-23T02:28:26.5237490Z [ RUN      ] AutogradAPITests.AnomalyMode
2022-11-23T02:28:26.5238041Z [W anomaly_mode.cpp:27] Warning: This mode should be enabled only for debugging as the different tests will slow down your program execution. (function operator())
2022-11-23T02:28:26.8304840Z [       OK ] AutogradAPITests.AnomalyMode (306 ms)
2022-11-23T02:28:26.8305301Z [----------] 9 tests from AutogradAPITests (366 ms total)
2022-11-23T02:28:26.8305474Z 
2022-11-23T02:28:26.8305632Z [----------] 33 tests from CustomAutogradTest
2022-11-23T02:28:26.8305999Z [ RUN      ] CustomAutogradTest.GradUnreachableDiscoveryTest
2022-11-23T02:28:26.8324074Z [       OK ] CustomAutogradTest.GradUnreachableDiscoveryTest (1 ms)
2022-11-23T02:28:26.8324705Z [ RUN      ] CustomAutogradTest.CustomFunction
2022-11-23T02:28:26.8342812Z [       OK ] CustomAutogradTest.CustomFunction (1 ms)
2022-11-23T02:28:26.8343468Z [ RUN      ] CustomAutogradTest.CustomFunctionWithTensorList
2022-11-23T02:28:26.8359475Z [       OK ] CustomAutogradTest.CustomFunctionWithTensorList (1 ms)
2022-11-23T02:28:26.8360136Z [ RUN      ] CustomAutogradTest.GraphTaskTrimEdges
2022-11-23T02:28:26.8389778Z [       OK ] CustomAutogradTest.GraphTaskTrimEdges (3 ms)
2022-11-23T02:28:26.8390404Z [ RUN      ] CustomAutogradTest.FunctionReturnsInput
2022-11-23T02:28:26.8398429Z [       OK ] CustomAutogradTest.FunctionReturnsInput (0 ms)
2022-11-23T02:28:26.8399037Z [ RUN      ] CustomAutogradTest.FunctionReturnsUndefined
2022-11-23T02:28:26.8410257Z [       OK ] CustomAutogradTest.FunctionReturnsUndefined (1 ms)
2022-11-23T02:28:26.8410857Z [ RUN      ] CustomAutogradTest.MaterializeGrads
2022-11-23T02:28:26.8419307Z [       OK ] CustomAutogradTest.MaterializeGrads (0 ms)
2022-11-23T02:28:26.8419901Z [ RUN      ] CustomAutogradTest.DontMaterializeGrads
2022-11-23T02:28:26.8423987Z [       OK ] CustomAutogradTest.DontMaterializeGrads (0 ms)
2022-11-23T02:28:26.8424623Z [ RUN      ] CustomAutogradTest.NoGradCustomFunction
2022-11-23T02:28:26.8426208Z [       OK ] CustomAutogradTest.NoGradCustomFunction (0 ms)
2022-11-23T02:28:26.8426759Z [ RUN      ] CustomAutogradTest.MarkDirty
2022-11-23T02:28:26.8432379Z [       OK ] CustomAutogradTest.MarkDirty (0 ms)
2022-11-23T02:28:26.8432966Z [ RUN      ] CustomAutogradTest.MarkNonDifferentiable
2022-11-23T02:28:26.8439815Z [       OK ] CustomAutogradTest.MarkNonDifferentiable (0 ms)
2022-11-23T02:28:26.8440478Z [ RUN      ] CustomAutogradTest.MarkNonDifferentiableMixed
2022-11-23T02:28:26.8455941Z [       OK ] CustomAutogradTest.MarkNonDifferentiableMixed (1 ms)
2022-11-23T02:28:26.8456642Z [ RUN      ] CustomAutogradTest.MarkNonDifferentiableNone
2022-11-23T02:28:26.8461696Z [       OK ] CustomAutogradTest.MarkNonDifferentiableNone (0 ms)
2022-11-23T02:28:26.8462327Z [ RUN      ] CustomAutogradTest.ReturnLeafInplace
2022-11-23T02:28:26.8471682Z [       OK ] CustomAutogradTest.ReturnLeafInplace (0 ms)
2022-11-23T02:28:26.8472321Z [ RUN      ] CustomAutogradTest.ReturnDuplicateInplace
2022-11-23T02:28:26.8532475Z [       OK ] CustomAutogradTest.ReturnDuplicateInplace (6 ms)
2022-11-23T02:28:26.8532893Z [ RUN      ] CustomAutogradTest.ReturnDuplicate
2022-11-23T02:28:26.8534119Z [       OK ] CustomAutogradTest.ReturnDuplicate (0 ms)
2022-11-23T02:28:26.8534484Z [ RUN      ] CustomAutogradTest.SaveEmptyForBackward
2022-11-23T02:28:26.8543185Z [       OK ] CustomAutogradTest.SaveEmptyForBackward (0 ms)
2022-11-23T02:28:26.8543578Z [ RUN      ] CustomAutogradTest.InvalidGradients
2022-11-23T02:28:26.8657132Z [       OK ] CustomAutogradTest.InvalidGradients (11 ms)
2022-11-23T02:28:26.8657632Z [ RUN      ] CustomAutogradTest.NoGradInput
2022-11-23T02:28:26.8658534Z [       OK ] CustomAutogradTest.NoGradInput (0 ms)
2022-11-23T02:28:26.8659146Z [ RUN      ] CustomAutogradTest.TooManyGrads
2022-11-23T02:28:26.8659568Z [       OK ] CustomAutogradTest.TooManyGrads (0 ms)
2022-11-23T02:28:26.8659874Z [ RUN      ] CustomAutogradTest.DepNoGrad
2022-11-23T02:28:26.8669723Z [       OK ] CustomAutogradTest.DepNoGrad (1 ms)
2022-11-23T02:28:26.8670348Z [ RUN      ] CustomAutogradTest.Reentrant
2022-11-23T02:28:26.8681227Z [       OK ] CustomAutogradTest.Reentrant (1 ms)
2022-11-23T02:28:26.8681795Z [ RUN      ] CustomAutogradTest.DeepReentrant
2022-11-23T02:28:30.5145470Z [       OK ] CustomAutogradTest.DeepReentrant (3646 ms)
2022-11-23T02:28:30.5146060Z [ RUN      ] CustomAutogradTest.ReentrantPriority
2022-11-23T02:28:30.5190715Z [       OK ] CustomAutogradTest.ReentrantPriority (4 ms)
2022-11-23T02:28:30.5191134Z [ RUN      ] CustomAutogradTest.Hooks
2022-11-23T02:28:30.5265848Z [       OK ] CustomAutogradTest.Hooks (7 ms)
2022-11-23T02:28:30.5266408Z [ RUN      ] CustomAutogradTest.HooksInplace
2022-11-23T02:28:30.5279733Z [       OK ] CustomAutogradTest.HooksInplace (1 ms)
2022-11-23T02:28:30.5280443Z [ RUN      ] CustomAutogradTest.HooksInplaceWithRetainsGrad
2022-11-23T02:28:30.5301467Z [       OK ] CustomAutogradTest.HooksInplaceWithRetainsGrad (2 ms)
2022-11-23T02:28:30.5302101Z [ RUN      ] CustomAutogradTest.HooksInplaceTwiceWithRetainsGrad
2022-11-23T02:28:30.5323404Z [       OK ] CustomAutogradTest.HooksInplaceTwiceWithRetainsGrad (2 ms)
2022-11-23T02:28:30.5323922Z [ RUN      ] CustomAutogradTest.HookNone
2022-11-23T02:28:30.5329907Z [       OK ] CustomAutogradTest.HookNone (0 ms)
2022-11-23T02:28:30.5330523Z [ RUN      ] CustomAutogradTest.BackwardWithInputs
2022-11-23T02:28:30.5340956Z [       OK ] CustomAutogradTest.BackwardWithInputs (1 ms)
2022-11-23T02:28:30.5341400Z [ RUN      ] CustomAutogradTest.BackwardWithEmptyInputs
2022-11-23T02:28:30.5369688Z [       OK ] CustomAutogradTest.BackwardWithEmptyInputs (2 ms)
2022-11-23T02:28:30.5370109Z [ RUN      ] CustomAutogradTest.BackwardWithNonLeafInputs
2022-11-23T02:28:30.5383764Z [       OK ] CustomAutogradTest.BackwardWithNonLeafInputs (1 ms)
2022-11-23T02:28:30.5384200Z [ RUN      ] CustomAutogradTest.BackwardWithCreateGraphWarns
2022-11-23T02:28:30.5390442Z [       OK ] CustomAutogradTest.BackwardWithCreateGraphWarns (0 ms)
2022-11-23T02:28:30.5391116Z [----------] 33 tests from CustomAutogradTest (3708 ms total)
2022-11-23T02:28:30.5391294Z 
2022-11-23T02:28:30.5391508Z [----------] 13 tests from TestAutogradNotImplementedFallback
2022-11-23T02:28:30.5391929Z [ RUN      ] TestAutogradNotImplementedFallback.RetSingleNonTensor
2022-11-23T02:28:30.5419133Z [       OK ] TestAutogradNotImplementedFallback.RetSingleNonTensor (2 ms)
2022-11-23T02:28:30.5419973Z [ RUN      ] TestAutogradNotImplementedFallback.InplaceOp
2022-11-23T02:28:30.5555864Z [       OK ] TestAutogradNotImplementedFallback.InplaceOp (13 ms)
2022-11-23T02:28:30.5556461Z [ RUN      ] TestAutogradNotImplementedFallback.DoubleInplaceOp
2022-11-23T02:28:30.5673929Z [       OK ] TestAutogradNotImplementedFallback.DoubleInplaceOp (11 ms)
2022-11-23T02:28:30.5674391Z [ RUN      ] TestAutogradNotImplementedFallback.OptOp
2022-11-23T02:28:30.5694069Z [       OK ] TestAutogradNotImplementedFallback.OptOp (2 ms)
2022-11-23T02:28:30.5694672Z [ RUN      ] TestAutogradNotImplementedFallback.OutOfPlaceAddition
2022-11-23T02:28:30.5766399Z [       OK ] TestAutogradNotImplementedFallback.OutOfPlaceAddition (7 ms)
2022-11-23T02:28:30.5767089Z [ RUN      ] TestAutogradNotImplementedFallback.RetTupleNonTensor
2022-11-23T02:28:30.5839164Z [       OK ] TestAutogradNotImplementedFallback.RetTupleNonTensor (7 ms)
2022-11-23T02:28:30.5839780Z [ RUN      ] TestAutogradNotImplementedFallback.ViewOp
2022-11-23T02:28:30.6003273Z [       OK ] TestAutogradNotImplementedFallback.ViewOp (16 ms)
2022-11-23T02:28:30.6003810Z [ RUN      ] TestAutogradNotImplementedFallback.ViewOpWithExtraArg
2022-11-23T02:28:30.6074493Z [       OK ] TestAutogradNotImplementedFallback.ViewOpWithExtraArg (7 ms)
2022-11-23T02:28:30.6075001Z [ RUN      ] TestAutogradNotImplementedFallback.RetTensorVectorView
2022-11-23T02:28:30.6085584Z [       OK ] TestAutogradNotImplementedFallback.RetTensorVectorView (1 ms)
2022-11-23T02:28:30.6086056Z [ RUN      ] TestAutogradNotImplementedFallback.DoubleViewOP
2022-11-23T02:28:30.6128380Z [       OK ] TestAutogradNotImplementedFallback.DoubleViewOP (4 ms)
2022-11-23T02:28:30.6128837Z [ RUN      ] TestAutogradNotImplementedFallback.NonFirstViewOP
2022-11-23T02:28:30.6180795Z [       OK ] TestAutogradNotImplementedFallback.NonFirstViewOP (5 ms)
2022-11-23T02:28:30.6181568Z [ RUN      ] TestAutogradNotImplementedFallback.RetTensorVector
2022-11-23T02:28:30.6251576Z [       OK ] TestAutogradNotImplementedFallback.RetTensorVector (6 ms)
2022-11-23T02:28:30.6252056Z [ RUN      ] TestAutogradNotImplementedFallback.TensorlistOp
2022-11-23T02:28:30.6308918Z [       OK ] TestAutogradNotImplementedFallback.TensorlistOp (5 ms)
2022-11-23T02:28:30.6309641Z [----------] 13 tests from TestAutogradNotImplementedFallback (91 ms total)
2022-11-23T02:28:30.6309856Z 
2022-11-23T02:28:30.6310014Z [----------] 18 tests from AnyModuleTest
2022-11-23T02:28:30.6310308Z [ RUN      ] AnyModuleTest.SimpleReturnType
2022-11-23T02:28:30.6322639Z [       OK ] AnyModuleTest.SimpleReturnType (1 ms)
2022-11-23T02:28:30.6323133Z [ RUN      ] AnyModuleTest.SimpleReturnTypeAndSingleArgument
2022-11-23T02:28:30.6323726Z [       OK ] AnyModuleTest.SimpleReturnTypeAndSingleArgument (0 ms)
2022-11-23T02:28:30.6324312Z [ RUN      ] AnyModuleTest.StringLiteralReturnTypeAndArgument
2022-11-23T02:28:30.6324861Z [       OK ] AnyModuleTest.StringLiteralReturnTypeAndArgument (0 ms)
2022-11-23T02:28:30.6325300Z [ RUN      ] AnyModuleTest.StringReturnTypeWithConstArgument
2022-11-23T02:28:30.6325731Z [       OK ] AnyModuleTest.StringReturnTypeWithConstArgument (0 ms)
2022-11-23T02:28:30.6326232Z [ RUN      ] AnyModuleTest.TensorReturnTypeAndStringArgumentsWithFunkyQualifications
2022-11-23T02:28:30.6338991Z [       OK ] AnyModuleTest.TensorReturnTypeAndStringArgumentsWithFunkyQualifications (1 ms)
2022-11-23T02:28:30.6339467Z [ RUN      ] AnyModuleTest.WrongArgumentType
2022-11-23T02:28:30.6379905Z [       OK ] AnyModuleTest.WrongArgumentType (4 ms)
2022-11-23T02:28:30.6380310Z [ RUN      ] AnyModuleTest.WrongNumberOfArguments
2022-11-23T02:28:30.6455797Z [       OK ] AnyModuleTest.WrongNumberOfArguments (7 ms)
2022-11-23T02:28:30.6456393Z [ RUN      ] AnyModuleTest.PassingArgumentsToModuleWithDefaultArgumentsInForwardMethod
2022-11-23T02:28:30.6619251Z [       OK ] AnyModuleTest.PassingArgumentsToModuleWithDefaultArgumentsInForwardMethod (16 ms)
2022-11-23T02:28:30.6620229Z [ RUN      ] AnyModuleTest.GetWithCorrectTypeSucceeds
2022-11-23T02:28:30.6620667Z [       OK ] AnyModuleTest.GetWithCorrectTypeSucceeds (0 ms)
2022-11-23T02:28:30.6621060Z [ RUN      ] AnyModuleTest.GetWithIncorrectTypeThrows
2022-11-23T02:28:30.6642987Z [       OK ] AnyModuleTest.GetWithIncorrectTypeThrows (2 ms)
2022-11-23T02:28:30.6643735Z [ RUN      ] AnyModuleTest.PtrWithBaseClassSucceeds
2022-11-23T02:28:30.6644444Z [       OK ] AnyModuleTest.PtrWithBaseClassSucceeds (0 ms)
2022-11-23T02:28:30.6644817Z [ RUN      ] AnyModuleTest.PtrWithGoodDowncastSuccceeds
2022-11-23T02:28:30.6645227Z [       OK ] AnyModuleTest.PtrWithGoodDowncastSuccceeds (0 ms)
2022-11-23T02:28:30.6645606Z [ RUN      ] AnyModuleTest.PtrWithBadDowncastThrows
2022-11-23T02:28:30.6667656Z [       OK ] AnyModuleTest.PtrWithBadDowncastThrows (2 ms)
2022-11-23T02:28:30.6668346Z [ RUN      ] AnyModuleTest.DefaultStateIsEmpty
2022-11-23T02:28:30.6668987Z [       OK ] AnyModuleTest.DefaultStateIsEmpty (0 ms)
2022-11-23T02:28:30.6669676Z [ RUN      ] AnyModuleTest.AllMethodsThrowForEmptyAnyModule
2022-11-23T02:28:30.6783007Z [       OK ] AnyModuleTest.AllMethodsThrowForEmptyAnyModule (11 ms)
2022-11-23T02:28:30.6783674Z [ RUN      ] AnyModuleTest.CanMoveAssignDifferentModules
2022-11-23T02:28:30.6784286Z [       OK ] AnyModuleTest.CanMoveAssignDifferentModules (0 ms)
2022-11-23T02:28:30.6784708Z [ RUN      ] AnyModuleTest.ConstructsFromModuleHolder
2022-11-23T02:28:30.6797936Z [       OK ] AnyModuleTest.ConstructsFromModuleHolder (1 ms)
2022-11-23T02:28:30.6798605Z [ RUN      ] AnyModuleTest.ConvertsVariableToTensorCorrectly
2022-11-23T02:28:30.6801182Z [       OK ] AnyModuleTest.ConvertsVariableToTensorCorrectly (0 ms)
2022-11-23T02:28:30.6801898Z [----------] 18 tests from AnyModuleTest (49 ms total)
2022-11-23T02:28:30.6802189Z 
2022-11-23T02:28:30.6802433Z [----------] 12 tests from AnyValueTest
2022-11-23T02:28:30.6803056Z [ RUN      ] AnyValueTest.CorrectlyAccessesIntWhenCorrectType
2022-11-23T02:28:30.6803855Z [       OK ] AnyValueTest.CorrectlyAccessesIntWhenCorrectType (0 ms)
2022-11-23T02:28:30.6804704Z [ RUN      ] AnyValueTest.CorrectlyAccessesStringLiteralWhenCorrectType
2022-11-23T02:28:30.6805603Z [       OK ] AnyValueTest.CorrectlyAccessesStringLiteralWhenCorrectType (0 ms)
2022-11-23T02:28:30.6806466Z [ RUN      ] AnyValueTest.CorrectlyAccessesStringWhenCorrectType
2022-11-23T02:28:30.6807293Z [       OK ] AnyValueTest.CorrectlyAccessesStringWhenCorrectType (0 ms)
2022-11-23T02:28:30.6808119Z [ RUN      ] AnyValueTest.CorrectlyAccessesPointersWhenCorrectType
2022-11-23T02:28:30.6808979Z [       OK ] AnyValueTest.CorrectlyAccessesPointersWhenCorrectType (0 ms)
2022-11-23T02:28:30.6809861Z [ RUN      ] AnyValueTest.CorrectlyAccessesReferencesWhenCorrectType
2022-11-23T02:28:30.6810738Z [       OK ] AnyValueTest.CorrectlyAccessesReferencesWhenCorrectType (0 ms)
2022-11-23T02:28:30.6811543Z [ RUN      ] AnyValueTest.TryGetReturnsNullptrForTheWrongType
2022-11-23T02:28:30.6812329Z [       OK ] AnyValueTest.TryGetReturnsNullptrForTheWrongType (0 ms)
2022-11-23T02:28:30.6813039Z [ RUN      ] AnyValueTest.GetThrowsForTheWrongType
2022-11-23T02:28:30.6854863Z [       OK ] AnyValueTest.GetThrowsForTheWrongType (4 ms)
2022-11-23T02:28:30.6855568Z [ RUN      ] AnyValueTest.MoveConstructionIsAllowed
2022-11-23T02:28:30.6856377Z [       OK ] AnyValueTest.MoveConstructionIsAllowed (0 ms)
2022-11-23T02:28:30.6856911Z [ RUN      ] AnyValueTest.MoveAssignmentIsAllowed
2022-11-23T02:28:30.6857457Z [       OK ] AnyValueTest.MoveAssignmentIsAllowed (0 ms)
2022-11-23T02:28:30.6857904Z [ RUN      ] AnyValueTest.TypeInfoIsCorrectForInt
2022-11-23T02:28:30.6858360Z [       OK ] AnyValueTest.TypeInfoIsCorrectForInt (0 ms)
2022-11-23T02:28:30.6858752Z [ RUN      ] AnyValueTest.TypeInfoIsCorrectForStringLiteral
2022-11-23T02:28:30.6859184Z [       OK ] AnyValueTest.TypeInfoIsCorrectForStringLiteral (0 ms)
2022-11-23T02:28:30.6859581Z [ RUN      ] AnyValueTest.TypeInfoIsCorrectForString
2022-11-23T02:28:30.6859962Z [       OK ] AnyValueTest.TypeInfoIsCorrectForString (0 ms)
2022-11-23T02:28:30.6860311Z [----------] 12 tests from AnyValueTest (5 ms total)
2022-11-23T02:28:30.6860464Z 
2022-11-23T02:28:30.6860605Z [----------] 50 tests from DataTest
2022-11-23T02:28:30.6860913Z [ RUN      ] DataTest.DatasetCallsGetCorrectly
2022-11-23T02:28:30.6861259Z [       OK ] DataTest.DatasetCallsGetCorrectly (0 ms)
2022-11-23T02:28:30.6861607Z [ RUN      ] DataTest.TransformCallsGetApplyCorrectly
2022-11-23T02:28:30.6871335Z [       OK ] DataTest.TransformCallsGetApplyCorrectly (1 ms)
2022-11-23T02:28:30.6871746Z [ RUN      ] DataTest.ChunkDataSetWithInvalidInitParameter
2022-11-23T02:28:30.6985525Z [       OK ] DataTest.ChunkDataSetWithInvalidInitParameter (11 ms)
2022-11-23T02:28:30.6985935Z [ RUN      ] DataTest.InfiniteStreamDataset
2022-11-23T02:28:30.6998873Z [       OK ] DataTest.InfiniteStreamDataset (1 ms)
2022-11-23T02:28:30.6999235Z [ RUN      ] DataTest.NoSequencerIsIdentity
2022-11-23T02:28:30.6999806Z [       OK ] DataTest.NoSequencerIsIdentity (0 ms)
2022-11-23T02:28:30.7000324Z [ RUN      ] DataTest.OrderedSequencerIsSetUpWell
2022-11-23T02:28:30.7000870Z [       OK ] DataTest.OrderedSequencerIsSetUpWell (0 ms)
2022-11-23T02:28:30.7001480Z [ RUN      ] DataTest.OrderedSequencerReOrdersValues
2022-11-23T02:28:30.7002103Z [       OK ] DataTest.OrderedSequencerReOrdersValues (0 ms)
2022-11-23T02:28:30.7002643Z [ RUN      ] DataTest.BatchLambdaAppliesFunctionToBatch
2022-11-23T02:28:30.7003356Z [       OK ] DataTest.BatchLambdaAppliesFunctionToBatch (0 ms)
2022-11-23T02:28:30.7004003Z [ RUN      ] DataTest.LambdaAppliesFunctionToExample
2022-11-23T02:28:30.7004698Z [       OK ] DataTest.LambdaAppliesFunctionToExample (0 ms)
2022-11-23T02:28:30.7005321Z [ RUN      ] DataTest.CollateReducesBatch
2022-11-23T02:28:30.7005880Z [       OK ] DataTest.CollateReducesBatch (0 ms)
2022-11-23T02:28:30.7006242Z [ RUN      ] DataTest.CollationReducesBatch
2022-11-23T02:28:30.7006572Z [       OK ] DataTest.CollationReducesBatch (0 ms)
2022-11-23T02:28:30.7006939Z [ RUN      ] DataTest.SequentialSamplerReturnsIndicesInOrder
2022-11-23T02:28:30.7007369Z [       OK ] DataTest.SequentialSamplerReturnsIndicesInOrder (0 ms)
2022-11-23T02:28:30.7007822Z [ RUN      ] DataTest.SequentialSamplerReturnsLessValuesForLastBatch
2022-11-23T02:28:30.7008308Z [       OK ] DataTest.SequentialSamplerReturnsLessValuesForLastBatch (0 ms)
2022-11-23T02:28:30.7008710Z [ RUN      ] DataTest.SequentialSamplerResetsWell
2022-11-23T02:28:30.7009074Z [       OK ] DataTest.SequentialSamplerResetsWell (0 ms)
2022-11-23T02:28:30.7009465Z [ RUN      ] DataTest.SequentialSamplerResetsWithNewSizeWell
2022-11-23T02:28:30.7009874Z [       OK ] DataTest.SequentialSamplerResetsWithNewSizeWell (0 ms)
2022-11-23T02:28:30.7010279Z [ RUN      ] DataTest.CanSaveAndLoadSequentialSampler
2022-11-23T02:28:30.7865989Z [       OK ] DataTest.CanSaveAndLoadSequentialSampler (85 ms)
2022-11-23T02:28:30.7866778Z [ RUN      ] DataTest.RandomSamplerReturnsIndicesInCorrectRange
2022-11-23T02:28:30.7867750Z [       OK ] DataTest.RandomSamplerReturnsIndicesInCorrectRange (0 ms)
2022-11-23T02:28:30.7868542Z [ RUN      ] DataTest.RandomSamplerReturnsLessValuesForLastBatch
2022-11-23T02:28:30.7869514Z [       OK ] DataTest.RandomSamplerReturnsLessValuesForLastBatch (0 ms)
2022-11-23T02:28:30.7870137Z [ RUN      ] DataTest.RandomSamplerResetsWell
2022-11-23T02:28:30.7870707Z [       OK ] DataTest.RandomSamplerResetsWell (0 ms)
2022-11-23T02:28:30.7871080Z [ RUN      ] DataTest.RandomSamplerResetsWithNewSizeWell
2022-11-23T02:28:30.7872303Z [       OK ] DataTest.RandomSamplerResetsWithNewSizeWell (0 ms)
2022-11-23T02:28:30.7872969Z [ RUN      ] DataTest.SavingAndLoadingRandomSamplerYieldsSameSequence
2022-11-23T02:28:30.7910610Z [       OK ] DataTest.SavingAndLoadingRandomSamplerYieldsSameSequence (3 ms)
2022-11-23T02:28:30.7911574Z [ RUN      ] DataTest.StreamSamplerReturnsTheBatchSizeAndThenRemainder
2022-11-23T02:28:30.7912500Z [       OK ] DataTest.StreamSamplerReturnsTheBatchSizeAndThenRemainder (0 ms)
2022-11-23T02:28:30.7913024Z [ RUN      ] DataTest.StreamSamplerResetsWell
2022-11-23T02:28:30.7913369Z [       OK ] DataTest.StreamSamplerResetsWell (0 ms)
2022-11-23T02:28:30.7913736Z [ RUN      ] DataTest.StreamSamplerResetsWithNewSizeWell
2022-11-23T02:28:30.7914143Z [       OK ] DataTest.StreamSamplerResetsWithNewSizeWell (0 ms)
2022-11-23T02:28:30.7914543Z [ RUN      ] DataTest.TensorDatasetConstructsFromSingleTensor
2022-11-23T02:28:30.7917494Z [       OK ] DataTest.TensorDatasetConstructsFromSingleTensor (0 ms)
2022-11-23T02:28:30.7917985Z [ RUN      ] DataTest.TensorDatasetConstructsFromInitializerListOfTensors
2022-11-23T02:28:30.7925319Z [       OK ] DataTest.TensorDatasetConstructsFromInitializerListOfTensors (0 ms)
2022-11-23T02:28:30.7925848Z [ RUN      ] DataTest.StackTransformWorksForExample
2022-11-23T02:28:30.7943708Z [       OK ] DataTest.StackTransformWorksForExample (1 ms)
2022-11-23T02:28:30.7944182Z [ RUN      ] DataTest.StackTransformWorksForTensorExample
2022-11-23T02:28:30.7952041Z [       OK ] DataTest.StackTransformWorksForTensorExample (0 ms)
2022-11-23T02:28:30.7952534Z [ RUN      ] DataTest.TensorTransformWorksForAnyTargetType
2022-11-23T02:28:30.7959633Z [       OK ] DataTest.TensorTransformWorksForAnyTargetType (0 ms)
2022-11-23T02:28:30.7960062Z [ RUN      ] DataTest.TensorLambdaWorksforAnyTargetType
2022-11-23T02:28:30.7967333Z [       OK ] DataTest.TensorLambdaWorksforAnyTargetType (0 ms)
2022-11-23T02:28:30.7967707Z [ RUN      ] DataTest.NormalizeTransform
2022-11-23T02:28:30.8003900Z [       OK ] DataTest.NormalizeTransform (3 ms)
2022-11-23T02:28:30.8004219Z [ RUN      ] DataTest.MapDoesNotCopy
2022-11-23T02:28:30.8006302Z [       OK ] DataTest.MapDoesNotCopy (0 ms)
2022-11-23T02:28:30.8006723Z [ RUN      ] DataTest.QueuePushAndPopFromSameThread
2022-11-23T02:28:30.8007113Z [       OK ] DataTest.QueuePushAndPopFromSameThread (0 ms)
2022-11-23T02:28:30.8007528Z [ RUN      ] DataTest.QueuePopWithTimeoutThrowsUponTimeout
2022-11-23T02:28:30.8144482Z [       OK ] DataTest.QueuePopWithTimeoutThrowsUponTimeout (13 ms)
2022-11-23T02:28:30.8144981Z [ RUN      ] DataTest.QueuePushAndPopFromDifferentThreads
2022-11-23T02:28:30.8352135Z [       OK ] DataTest.QueuePushAndPopFromDifferentThreads (20 ms)
2022-11-23T02:28:30.8352534Z [ RUN      ] DataTest.QueueClearEmptiesTheQueue
2022-11-23T02:28:30.8388130Z [       OK ] DataTest.QueueClearEmptiesTheQueue (3 ms)
2022-11-23T02:28:30.8388704Z [ RUN      ] DataTest.DataShuttleCanPushAndPopJob
2022-11-23T02:28:30.8389095Z [       OK ] DataTest.DataShuttleCanPushAndPopJob (0 ms)
2022-11-23T02:28:30.8389704Z [ RUN      ] DataTest.DataShuttleCanPushAndPopResult
2022-11-23T02:28:30.8390149Z [       OK ] DataTest.DataShuttleCanPushAndPopResult (0 ms)
2022-11-23T02:28:30.8390686Z [ RUN      ] DataTest.DataShuttlePopResultReturnsNulloptWhenNoJobsInFlight
2022-11-23T02:28:30.8391275Z [       OK ] DataTest.DataShuttlePopResultReturnsNulloptWhenNoJobsInFlight (0 ms)
2022-11-23T02:28:30.8391830Z [ RUN      ] DataTest.DataShuttleDrainMeansPopResultReturnsNullopt
2022-11-23T02:28:30.8392316Z [       OK ] DataTest.DataShuttleDrainMeansPopResultReturnsNullopt (0 ms)
2022-11-23T02:28:30.8392770Z [ RUN      ] DataTest.DataShuttlePopResultTimesOut
2022-11-23T02:28:30.8515884Z [       OK ] DataTest.DataShuttlePopResultTimesOut (12 ms)
2022-11-23T02:28:30.8516295Z [ RUN      ] DataTest.SharedBatchDatasetReallyIsShared
2022-11-23T02:28:30.8547052Z [       OK ] DataTest.SharedBatchDatasetReallyIsShared (3 ms)
2022-11-23T02:28:30.8548085Z [ RUN      ] DataTest.SharedBatchDatasetDoesNotIncurCopyWhenPassedDatasetObject
2022-11-23T02:28:30.8548877Z [       OK ] DataTest.SharedBatchDatasetDoesNotIncurCopyWhenPassedDatasetObject (0 ms)
2022-11-23T02:28:30.8549346Z [ RUN      ] DataTest.CanUseCustomTypeAsIndexType
2022-11-23T02:28:30.8549714Z [       OK ] DataTest.CanUseCustomTypeAsIndexType (0 ms)
2022-11-23T02:28:30.8550172Z [ RUN      ] DataTest.DistributedRandomSamplerSingleReplicaProduceCorrectSamples
2022-11-23T02:28:30.8550749Z [       OK ] DataTest.DistributedRandomSamplerSingleReplicaProduceCorrectSamples (0 ms)
2022-11-23T02:28:30.8551309Z [ RUN      ] DataTest.DistributedRandomSamplerMultiReplicaProduceCorrectSamples
2022-11-23T02:28:30.8553353Z [       OK ] DataTest.DistributedRandomSamplerMultiReplicaProduceCorrectSamples (0 ms)
2022-11-23T02:28:30.8553898Z [ RUN      ] DataTest.CanSaveAndLoadDistributedRandomSampler
2022-11-23T02:28:30.8597006Z [       OK ] DataTest.CanSaveAndLoadDistributedRandomSampler (4 ms)
2022-11-23T02:28:30.8598029Z [ RUN      ] DataTest.DistributedSequentialSamplerSingleReplicaProduceCorrectSamples
2022-11-23T02:28:30.8598721Z [       OK ] DataTest.DistributedSequentialSamplerSingleReplicaProduceCorrectSamples (0 ms)
2022-11-23T02:28:30.8599689Z [ RUN      ] DataTest.DistributedSequentialSamplerMultiReplicaProduceCorrectSamples
2022-11-23T02:28:30.8600288Z [       OK ] DataTest.DistributedSequentialSamplerMultiReplicaProduceCorrectSamples (0 ms)
2022-11-23T02:28:30.8600800Z [ RUN      ] DataTest.CanSaveAndLoadDistributedSequentialSampler
2022-11-23T02:28:30.8620070Z [       OK ] DataTest.CanSaveAndLoadDistributedSequentialSampler (2 ms)
2022-11-23T02:28:30.8620778Z [----------] 50 tests from DataTest (176 ms total)
2022-11-23T02:28:30.8621047Z 
2022-11-23T02:28:30.8621332Z [----------] 37 tests from DataLoaderTest
2022-11-23T02:28:30.8621804Z [ RUN      ] DataLoaderTest.DataLoaderOptionsDefaultAsExpected
2022-11-23T02:28:30.8622400Z [       OK ] DataLoaderTest.DataLoaderOptionsDefaultAsExpected (0 ms)
2022-11-23T02:28:30.8623147Z [ RUN      ] DataLoaderTest.DataLoaderOptionsCoalesceOptionalValues
2022-11-23T02:28:30.8623625Z [       OK ] DataLoaderTest.DataLoaderOptionsCoalesceOptionalValues (0 ms)
2022-11-23T02:28:30.8624075Z [ RUN      ] DataLoaderTest.MakeDataLoaderDefaultsAsExpected
2022-11-23T02:28:30.8624489Z [       OK ] DataLoaderTest.MakeDataLoaderDefaultsAsExpected (0 ms)
2022-11-23T02:28:30.8625035Z [ RUN      ] DataLoaderTest.MakeDataLoaderThrowsWhenConstructingSamplerWithUnsizedDataset
2022-11-23T02:28:30.8647275Z [       OK ] DataLoaderTest.MakeDataLoaderThrowsWhenConstructingSamplerWithUnsizedDataset (2 ms)
2022-11-23T02:28:30.8647972Z [ RUN      ] DataLoaderTest.IteratorsCompareEqualToThemselves
2022-11-23T02:28:30.8649032Z [       OK ] DataLoaderTest.IteratorsCompareEqualToThemselves (0 ms)
2022-11-23T02:28:30.8649661Z [ RUN      ] DataLoaderTest.ValidIteratorsCompareUnequalToEachOther
2022-11-23T02:28:30.8651349Z [       OK ] DataLoaderTest.ValidIteratorsCompareUnequalToEachOther (0 ms)
2022-11-23T02:28:30.8651849Z [ RUN      ] DataLoaderTest.SentinelIteratorsCompareEqualToEachOther
2022-11-23T02:28:30.8652398Z [       OK ] DataLoaderTest.SentinelIteratorsCompareEqualToEachOther (0 ms)
2022-11-23T02:28:30.8652896Z [ RUN      ] DataLoaderTest.IteratorsCompareEqualToSentinelWhenExhausted
2022-11-23T02:28:30.8654342Z [       OK ] DataLoaderTest.IteratorsCompareEqualToSentinelWhenExhausted (0 ms)
2022-11-23T02:28:30.8654808Z [ RUN      ] DataLoaderTest.IteratorsShareState
2022-11-23T02:28:30.8655850Z [       OK ] DataLoaderTest.IteratorsShareState (0 ms)
2022-11-23T02:28:30.8656328Z [ RUN      ] DataLoaderTest.CanDereferenceIteratorMultipleTimes
2022-11-23T02:28:30.8656790Z [       OK ] DataLoaderTest.CanDereferenceIteratorMultipleTimes (0 ms)
2022-11-23T02:28:30.8657182Z [ RUN      ] DataLoaderTest.CanUseIteratorAlgorithms
2022-11-23T02:28:30.8664644Z [       OK ] DataLoaderTest.CanUseIteratorAlgorithms (0 ms)
2022-11-23T02:28:30.8665116Z [ RUN      ] DataLoaderTest.CallingBeginWhileOtherIteratorIsInFlightThrows
2022-11-23T02:28:30.8696415Z [       OK ] DataLoaderTest.CallingBeginWhileOtherIteratorIsInFlightThrows (3 ms)
2022-11-23T02:28:30.8696937Z [ RUN      ] DataLoaderTest.IncrementingExhaustedValidIteratorThrows
2022-11-23T02:28:30.8729334Z [       OK ] DataLoaderTest.IncrementingExhaustedValidIteratorThrows (3 ms)
2022-11-23T02:28:30.8729828Z [ RUN      ] DataLoaderTest.DereferencingExhaustedValidIteratorThrows
2022-11-23T02:28:30.8755754Z [       OK ] DataLoaderTest.DereferencingExhaustedValidIteratorThrows (2 ms)
2022-11-23T02:28:30.8756238Z [ RUN      ] DataLoaderTest.IncrementingSentinelIteratorThrows
2022-11-23T02:28:30.8781338Z [       OK ] DataLoaderTest.IncrementingSentinelIteratorThrows (2 ms)
2022-11-23T02:28:30.8781840Z [ RUN      ] DataLoaderTest.DereferencingSentinelIteratorThrows
2022-11-23T02:28:30.8807908Z [       OK ] DataLoaderTest.DereferencingSentinelIteratorThrows (2 ms)
2022-11-23T02:28:30.8808509Z [ RUN      ] DataLoaderTest.YieldsCorrectBatchSize
2022-11-23T02:28:30.8809120Z [       OK ] DataLoaderTest.YieldsCorrectBatchSize (0 ms)
2022-11-23T02:28:30.8809687Z [ RUN      ] DataLoaderTest.ReturnsLastBatchWhenSmallerThanBatchSizeWhenDropLastIsFalse
2022-11-23T02:28:30.8811517Z [       OK ] DataLoaderTest.ReturnsLastBatchWhenSmallerThanBatchSizeWhenDropLastIsFalse (0 ms)
2022-11-23T02:28:30.8812202Z [ RUN      ] DataLoaderTest.DoesNotReturnLastBatchWhenSmallerThanBatchSizeWhenDropLastIsTrue
2022-11-23T02:28:30.8813521Z [       OK ] DataLoaderTest.DoesNotReturnLastBatchWhenSmallerThanBatchSizeWhenDropLastIsTrue (0 ms)
2022-11-23T02:28:30.8814012Z [ RUN      ] DataLoaderTest.RespectsTimeout
2022-11-23T02:28:30.8951636Z [       OK ] DataLoaderTest.RespectsTimeout (13 ms)
2022-11-23T02:28:30.8952088Z [ RUN      ] DataLoaderTest.EnforcesOrderingAmongThreadsWhenConfigured
2022-11-23T02:28:30.8979079Z [       OK ] DataLoaderTest.EnforcesOrderingAmongThreadsWhenConfigured (2 ms)
2022-11-23T02:28:30.8979475Z [ RUN      ] DataLoaderTest.Reset
2022-11-23T02:28:30.8981702Z [       OK ] DataLoaderTest.Reset (0 ms)
2022-11-23T02:28:30.8982154Z [ RUN      ] DataLoaderTest.TestExceptionsArePropagatedFromWorkers
2022-11-23T02:28:30.8990819Z [       OK ] DataLoaderTest.TestExceptionsArePropagatedFromWorkers (0 ms)
2022-11-23T02:28:30.8991308Z [ RUN      ] DataLoaderTest.StatefulDatasetWithNoWorkers
2022-11-23T02:28:30.8992374Z [       OK ] DataLoaderTest.StatefulDatasetWithNoWorkers (0 ms)
2022-11-23T02:28:30.8992788Z [ RUN      ] DataLoaderTest.StatefulDatasetWithManyWorkers
2022-11-23T02:28:30.9012642Z [       OK ] DataLoaderTest.StatefulDatasetWithManyWorkers (1 ms)
2022-11-23T02:28:30.9024146Z [ RUN      ] DataLoaderTest.StatefulDatasetWithMap
2022-11-23T02:28:30.9024956Z [       OK ] DataLoaderTest.StatefulDatasetWithMap (0 ms)
2022-11-23T02:28:30.9025446Z [ RUN      ] DataLoaderTest.StatefulDatasetWithCollate
2022-11-23T02:28:30.9032298Z [       OK ] DataLoaderTest.StatefulDatasetWithCollate (0 ms)
2022-11-23T02:28:30.9032886Z [ RUN      ] DataLoaderTest.ChunkDataSetGetBatch
2022-11-23T02:28:30.9221229Z [       OK ] DataLoaderTest.ChunkDataSetGetBatch (18 ms)
2022-11-23T02:28:30.9221648Z [ RUN      ] DataLoaderTest.ChunkDataSetWithBatchSizeMismatch
2022-11-23T02:28:30.9254658Z [       OK ] DataLoaderTest.ChunkDataSetWithBatchSizeMismatch (3 ms)
2022-11-23T02:28:30.9255090Z [ RUN      ] DataLoaderTest.ChunkDataSetWithEmptyBatch
2022-11-23T02:28:30.9257052Z [       OK ] DataLoaderTest.ChunkDataSetWithEmptyBatch (0 ms)
2022-11-23T02:28:30.9257504Z [ RUN      ] DataLoaderTest.ChunkDataSetGetBatchWithUnevenBatchSize
2022-11-23T02:28:30.9263504Z [       OK ] DataLoaderTest.ChunkDataSetGetBatchWithUnevenBatchSize (0 ms)
2022-11-23T02:28:30.9264154Z [ RUN      ] DataLoaderTest.CanAccessChunkSamplerWithChunkDataSet
2022-11-23T02:28:30.9268286Z [       OK ] DataLoaderTest.CanAccessChunkSamplerWithChunkDataSet (0 ms)
2022-11-23T02:28:30.9268925Z [ RUN      ] DataLoaderTest.ChunkDatasetDoesNotHang
2022-11-23T02:28:30.9272299Z [       OK ] DataLoaderTest.ChunkDatasetDoesNotHang (0 ms)
2022-11-23T02:28:30.9272865Z [ RUN      ] DataLoaderTest.ChunkDatasetSave
2022-11-23T02:28:30.9487017Z [       OK ] DataLoaderTest.ChunkDatasetSave (21 ms)
2022-11-23T02:28:30.9487636Z [ RUN      ] DataLoaderTest.ChunkDatasetLoad
2022-11-23T02:28:30.9511525Z [       OK ] DataLoaderTest.ChunkDatasetLoad (2 ms)
2022-11-23T02:28:30.9511976Z [ RUN      ] DataLoaderTest.ChunkDatasetCrossChunkShuffle
2022-11-23T02:28:30.9525424Z [       OK ] DataLoaderTest.ChunkDatasetCrossChunkShuffle (1 ms)
2022-11-23T02:28:30.9525961Z [ RUN      ] DataLoaderTest.CustomPreprocessPolicy
2022-11-23T02:28:30.9535263Z [       OK ] DataLoaderTest.CustomPreprocessPolicy (0 ms)
2022-11-23T02:28:30.9535966Z [----------] 37 tests from DataLoaderTest (91 ms total)
2022-11-23T02:28:30.9536223Z 
2022-11-23T02:28:30.9536480Z [----------] 1 test from EnumTest
2022-11-23T02:28:30.9536952Z [ RUN      ] EnumTest.AllEnums
2022-11-23T02:28:30.9537437Z [       OK ] EnumTest.AllEnums (0 ms)
2022-11-23T02:28:30.9537944Z [----------] 1 test from EnumTest (0 ms total)
2022-11-23T02:28:30.9538293Z 
2022-11-23T02:28:30.9538516Z [----------] 6 tests from ExpandingArrayTest
2022-11-23T02:28:30.9538905Z [ RUN      ] ExpandingArrayTest.CanConstructFromInitializerList
2022-11-23T02:28:30.9539357Z [       OK ] ExpandingArrayTest.CanConstructFromInitializerList (0 ms)
2022-11-23T02:28:30.9539767Z [ RUN      ] ExpandingArrayTest.CanConstructFromVector
2022-11-23T02:28:30.9540157Z [       OK ] ExpandingArrayTest.CanConstructFromVector (0 ms)
2022-11-23T02:28:30.9540538Z [ RUN      ] ExpandingArrayTest.CanConstructFromArray
2022-11-23T02:28:30.9540910Z [       OK ] ExpandingArrayTest.CanConstructFromArray (0 ms)
2022-11-23T02:28:30.9541307Z [ RUN      ] ExpandingArrayTest.CanConstructFromSingleValue
2022-11-23T02:28:30.9541726Z [       OK ] ExpandingArrayTest.CanConstructFromSingleValue (0 ms)
2022-11-23T02:28:30.9542303Z [ RUN      ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInInitializerList
2022-11-23T02:28:30.9563978Z [       OK ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInInitializerList (2 ms)
2022-11-23T02:28:30.9564686Z [ RUN      ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInVector
2022-11-23T02:28:30.9589154Z [       OK ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInVector (2 ms)
2022-11-23T02:28:30.9589820Z [----------] 6 tests from ExpandingArrayTest (5 ms total)
2022-11-23T02:28:30.9589985Z 
2022-11-23T02:28:30.9590125Z [----------] 10 tests from FFTTest
2022-11-23T02:28:30.9590373Z [ RUN      ] FFTTest.fft
2022-11-23T02:28:30.9851567Z [       OK ] FFTTest.fft (26 ms)
2022-11-23T02:28:30.9851995Z [ RUN      ] FFTTest.fft_real
2022-11-23T02:28:30.9872707Z [       OK ] FFTTest.fft_real (2 ms)
2022-11-23T02:28:30.9873203Z [ RUN      ] FFTTest.fft_pad
2022-11-23T02:28:30.9903487Z [       OK ] FFTTest.fft_pad (3 ms)
2022-11-23T02:28:30.9903947Z [ RUN      ] FFTTest.fft_norm
2022-11-23T02:28:30.9919489Z [       OK ] FFTTest.fft_norm (1 ms)
2022-11-23T02:28:30.9919943Z [ RUN      ] FFTTest.ifft
2022-11-23T02:28:30.9933678Z [       OK ] FFTTest.ifft (1 ms)
2022-11-23T02:28:30.9933958Z [ RUN      ] FFTTest.fft_ifft
2022-11-23T02:28:30.9972553Z [       OK ] FFTTest.fft_ifft (3 ms)
2022-11-23T02:28:30.9972803Z [ RUN      ] FFTTest.rfft
2022-11-23T02:28:30.9986912Z [       OK ] FFTTest.rfft (1 ms)
2022-11-23T02:28:30.9987208Z [ RUN      ] FFTTest.rfft_irfft
2022-11-23T02:28:30.9993032Z [       OK ] FFTTest.rfft_irfft (0 ms)
2022-11-23T02:28:30.9993284Z [ RUN      ] FFTTest.ihfft
2022-11-23T02:28:31.0004960Z [       OK ] FFTTest.ihfft (1 ms)
2022-11-23T02:28:31.0005257Z [ RUN      ] FFTTest.hfft_ihfft
2022-11-23T02:28:31.0046942Z [       OK ] FFTTest.hfft_ihfft (4 ms)
2022-11-23T02:28:31.0047359Z [----------] 10 tests from FFTTest (45 ms total)
2022-11-23T02:28:31.0047512Z 
2022-11-23T02:28:31.0047666Z [----------] 132 tests from FunctionalTest
2022-11-23T02:28:31.0047945Z [ RUN      ] FunctionalTest.Conv1d
2022-11-23T02:28:31.0083667Z [       OK ] FunctionalTest.Conv1d (3 ms)
2022-11-23T02:28:31.0084041Z [ RUN      ] FunctionalTest.Conv2dEven
2022-11-23T02:28:31.0100698Z [       OK ] FunctionalTest.Conv2dEven (1 ms)
2022-11-23T02:28:31.0101062Z [ RUN      ] FunctionalTest.Conv2dUneven
2022-11-23T02:28:31.0117782Z [       OK ] FunctionalTest.Conv2dUneven (1 ms)
2022-11-23T02:28:31.0118092Z [ RUN      ] FunctionalTest.Conv3d
2022-11-23T02:28:31.0142681Z [       OK ] FunctionalTest.Conv3d (2 ms)
2022-11-23T02:28:31.0142984Z [ RUN      ] FunctionalTest.MaxPool1d
2022-11-23T02:28:31.0147041Z [       OK ] FunctionalTest.MaxPool1d (0 ms)
2022-11-23T02:28:31.0147396Z [ RUN      ] FunctionalTest.MaxPool2d
2022-11-23T02:28:31.0153234Z [       OK ] FunctionalTest.MaxPool2d (0 ms)
2022-11-23T02:28:31.0153560Z [ RUN      ] FunctionalTest.MaxPool2dBackward
2022-11-23T02:28:31.0160710Z [       OK ] FunctionalTest.MaxPool2dBackward (0 ms)
2022-11-23T02:28:31.0161036Z [ RUN      ] FunctionalTest.MaxPool3d
2022-11-23T02:28:31.0167205Z [       OK ] FunctionalTest.MaxPool3d (0 ms)
2022-11-23T02:28:31.0167503Z [ RUN      ] FunctionalTest.AvgPool1d
2022-11-23T02:28:31.0174391Z [       OK ] FunctionalTest.AvgPool1d (0 ms)
2022-11-23T02:28:31.0174722Z [ RUN      ] FunctionalTest.AvgPool2d
2022-11-23T02:28:31.0179316Z [       OK ] FunctionalTest.AvgPool2d (0 ms)
2022-11-23T02:28:31.0179772Z [ RUN      ] FunctionalTest.AvgPool3d
2022-11-23T02:28:31.0184944Z [       OK ] FunctionalTest.AvgPool3d (0 ms)
2022-11-23T02:28:31.0185280Z [ RUN      ] FunctionalTest.FractionalMaxPool2d
2022-11-23T02:28:31.0228624Z [       OK ] FunctionalTest.FractionalMaxPool2d (4 ms)
2022-11-23T02:28:31.0228984Z [ RUN      ] FunctionalTest.FractionalMaxPool3d
2022-11-23T02:28:31.0242326Z [       OK ] FunctionalTest.FractionalMaxPool3d (1 ms)
2022-11-23T02:28:31.0242786Z [ RUN      ] FunctionalTest.LPPool1d
2022-11-23T02:28:31.0252658Z [       OK ] FunctionalTest.LPPool1d (1 ms)
2022-11-23T02:28:31.0252945Z [ RUN      ] FunctionalTest.LPPool2d
2022-11-23T02:28:31.0261281Z [       OK ] FunctionalTest.LPPool2d (0 ms)
2022-11-23T02:28:31.0261595Z [ RUN      ] FunctionalTest.CosineSimilarity
2022-11-23T02:28:31.0272318Z [       OK ] FunctionalTest.CosineSimilarity (1 ms)
2022-11-23T02:28:31.0272674Z [ RUN      ] FunctionalTest.SmoothL1LossDefaultOptions
2022-11-23T02:28:31.0284676Z [       OK ] FunctionalTest.SmoothL1LossDefaultOptions (1 ms)
2022-11-23T02:28:31.0285103Z [ RUN      ] FunctionalTest.SmoothL1LossBeta
2022-11-23T02:28:31.0293190Z [       OK ] FunctionalTest.SmoothL1LossBeta (0 ms)
2022-11-23T02:28:31.0293546Z [ RUN      ] FunctionalTest.SmoothL1LossNoReduction
2022-11-23T02:28:31.0301497Z [       OK ] FunctionalTest.SmoothL1LossNoReduction (0 ms)
2022-11-23T02:28:31.0301872Z [ RUN      ] FunctionalTest.HuberLossDefaultOptions
2022-11-23T02:28:31.0311364Z [       OK ] FunctionalTest.HuberLossDefaultOptions (0 ms)
2022-11-23T02:28:31.0311714Z [ RUN      ] FunctionalTest.HuberLossDelta
2022-11-23T02:28:31.0320160Z [       OK ] FunctionalTest.HuberLossDelta (0 ms)
2022-11-23T02:28:31.0320516Z [ RUN      ] FunctionalTest.HuberLossNoReduction
2022-11-23T02:28:31.0328056Z [       OK ] FunctionalTest.HuberLossNoReduction (0 ms)
2022-11-23T02:28:31.0328440Z [ RUN      ] FunctionalTest.SoftMarginLossDefaultOptions
2022-11-23T02:28:31.0343726Z [       OK ] FunctionalTest.SoftMarginLossDefaultOptions (1 ms)
2022-11-23T02:28:31.0344172Z [ RUN      ] FunctionalTest.MultiLabelSoftMarginLossDefaultOptions
2022-11-23T02:28:31.0377962Z [       OK ] FunctionalTest.MultiLabelSoftMarginLossDefaultOptions (3 ms)
2022-11-23T02:28:31.0378520Z [ RUN      ] FunctionalTest.SoftMarginLossNoReduction
2022-11-23T02:28:31.0389429Z [       OK ] FunctionalTest.SoftMarginLossNoReduction (1 ms)
2022-11-23T02:28:31.0389878Z [ RUN      ] FunctionalTest.MultiLabelSoftMarginLossWeightedNoReduction
2022-11-23T02:28:31.0407780Z [       OK ] FunctionalTest.MultiLabelSoftMarginLossWeightedNoReduction (1 ms)
2022-11-23T02:28:31.0408200Z [ RUN      ] FunctionalTest.PairwiseDistance
2022-11-23T02:28:31.0415444Z [       OK ] FunctionalTest.PairwiseDistance (0 ms)
2022-11-23T02:28:31.0415809Z [ RUN      ] FunctionalTest.PDist
2022-11-23T02:28:31.0425647Z [       OK ] FunctionalTest.PDist (1 ms)
2022-11-23T02:28:31.0426041Z [ RUN      ] FunctionalTest.AdaptiveMaxPool1d
2022-11-23T02:28:31.0431356Z [       OK ] FunctionalTest.AdaptiveMaxPool1d (0 ms)
2022-11-23T02:28:31.0431697Z [ RUN      ] FunctionalTest.AdaptiveMaxPool2d
2022-11-23T02:28:31.0435897Z [       OK ] FunctionalTest.AdaptiveMaxPool2d (0 ms)
2022-11-23T02:28:31.0436226Z [ RUN      ] FunctionalTest.AdaptiveMaxPool3d
2022-11-23T02:28:31.0441428Z [       OK ] FunctionalTest.AdaptiveMaxPool3d (0 ms)
2022-11-23T02:28:31.0441781Z [ RUN      ] FunctionalTest.AdaptiveAvgPool1d
2022-11-23T02:28:31.0446403Z [       OK ] FunctionalTest.AdaptiveAvgPool1d (0 ms)
2022-11-23T02:28:31.0446816Z [ RUN      ] FunctionalTest.AdaptiveAvgPool2d
2022-11-23T02:28:31.0451089Z [       OK ] FunctionalTest.AdaptiveAvgPool2d (0 ms)
2022-11-23T02:28:31.0451499Z [ RUN      ] FunctionalTest.AdaptiveAvgPool3d
2022-11-23T02:28:31.0456074Z [       OK ] FunctionalTest.AdaptiveAvgPool3d (0 ms)
2022-11-23T02:28:31.0456539Z [ RUN      ] FunctionalTest.L1Loss
2022-11-23T02:28:31.0465817Z [       OK ] FunctionalTest.L1Loss (0 ms)
2022-11-23T02:28:31.0466110Z [ RUN      ] FunctionalTest.MSELoss
2022-11-23T02:28:31.0472892Z [       OK ] FunctionalTest.MSELoss (0 ms)
2022-11-23T02:28:31.0473200Z [ RUN      ] FunctionalTest.BCELoss
2022-11-23T02:28:31.0480978Z [       OK ] FunctionalTest.BCELoss (0 ms)
2022-11-23T02:28:31.0481277Z [ RUN      ] FunctionalTest.KLDivLoss
2022-11-23T02:28:31.0483340Z [W loss.h:57] Warning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. (function kl_div)
2022-11-23T02:28:31.0489812Z [       OK ] FunctionalTest.KLDivLoss (0 ms)
2022-11-23T02:28:31.0490142Z [ RUN      ] FunctionalTest.HingeEmbeddingLoss
2022-11-23T02:28:31.0499459Z [       OK ] FunctionalTest.HingeEmbeddingLoss (0 ms)
2022-11-23T02:28:31.0499771Z [ RUN      ] FunctionalTest.GridSample
2022-11-23T02:28:31.0514496Z [W vision.h:87] Warning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details. (function grid_sample)
2022-11-23T02:28:31.0532031Z [       OK ] FunctionalTest.GridSample (3 ms)
2022-11-23T02:28:31.0532343Z [ RUN      ] FunctionalTest.AffineGrid
2022-11-23T02:28:31.0878827Z [       OK ] FunctionalTest.AffineGrid (34 ms)
2022-11-23T02:28:31.0879154Z [ RUN      ] FunctionalTest.MultiMarginLoss
2022-11-23T02:28:31.0887220Z [       OK ] FunctionalTest.MultiMarginLoss (0 ms)
2022-11-23T02:28:31.0887575Z [ RUN      ] FunctionalTest.CosineEmbeddingLoss
2022-11-23T02:28:31.0902661Z [       OK ] FunctionalTest.CosineEmbeddingLoss (1 ms)
2022-11-23T02:28:31.0903078Z [ RUN      ] FunctionalTest.MultiLabelMarginLossDefaultOptions
2022-11-23T02:28:31.0915506Z [       OK ] FunctionalTest.MultiLabelMarginLossDefaultOptions (1 ms)
2022-11-23T02:28:31.0915948Z [ RUN      ] FunctionalTest.MultiLabelMarginLossNoReduction
2022-11-23T02:28:31.0925427Z [       OK ] FunctionalTest.MultiLabelMarginLossNoReduction (0 ms)
2022-11-23T02:28:31.0925810Z [ RUN      ] FunctionalTest.TripletMarginLoss
2022-11-23T02:28:31.0934993Z [       OK ] FunctionalTest.TripletMarginLoss (0 ms)
2022-11-23T02:28:31.0935411Z [ RUN      ] FunctionalTest.TripletMarginWithDistanceLossDefaultParity
2022-11-23T02:28:31.2347424Z [       OK ] FunctionalTest.TripletMarginWithDistanceLossDefaultParity (141 ms)
2022-11-23T02:28:31.2347841Z [ RUN      ] FunctionalTest.NLLLoss
2022-11-23T02:28:31.2356324Z [       OK ] FunctionalTest.NLLLoss (1 ms)
2022-11-23T02:28:31.2356618Z [ RUN      ] FunctionalTest.CrossEntropy
2022-11-23T02:28:31.2381478Z [       OK ] FunctionalTest.CrossEntropy (2 ms)
2022-11-23T02:28:31.2381798Z [ RUN      ] FunctionalTest.MaxUnpool1d
2022-11-23T02:28:31.2404573Z [       OK ] FunctionalTest.MaxUnpool1d (2 ms)
2022-11-23T02:28:31.2404870Z [ RUN      ] FunctionalTest.MaxUnpool2d
2022-11-23T02:28:31.2421377Z [       OK ] FunctionalTest.MaxUnpool2d (1 ms)
2022-11-23T02:28:31.2421685Z [ RUN      ] FunctionalTest.MaxUnpool3d
2022-11-23T02:28:31.2431940Z [       OK ] FunctionalTest.MaxUnpool3d (1 ms)
2022-11-23T02:28:31.2432233Z [ RUN      ] FunctionalTest.ELU
2022-11-23T02:28:31.2548871Z [       OK ] FunctionalTest.ELU (11 ms)
2022-11-23T02:28:31.2549150Z [ RUN      ] FunctionalTest.SELU
2022-11-23T02:28:31.2576582Z [       OK ] FunctionalTest.SELU (2 ms)
2022-11-23T02:28:31.2577075Z [ RUN      ] FunctionalTest.GLU
2022-11-23T02:28:31.2586771Z [       OK ] FunctionalTest.GLU (0 ms)
2022-11-23T02:28:31.2587035Z [ RUN      ] FunctionalTest.GELU
2022-11-23T02:28:31.2595162Z [       OK ] FunctionalTest.GELU (0 ms)
2022-11-23T02:28:31.2595832Z [ RUN      ] FunctionalTest.TanhGELU
2022-11-23T02:28:31.2602857Z [       OK ] FunctionalTest.TanhGELU (0 ms)
2022-11-23T02:28:31.2603187Z [ RUN      ] FunctionalTest.Hardshrink
2022-11-23T02:28:31.2662959Z [       OK ] FunctionalTest.Hardshrink (5 ms)
2022-11-23T02:28:31.2663498Z [ RUN      ] FunctionalTest.OneHot
2022-11-23T02:28:31.2686472Z [       OK ] FunctionalTest.OneHot (2 ms)
2022-11-23T02:28:31.2687005Z [ RUN      ] FunctionalTest.Hardtanh
2022-11-23T02:28:31.2928912Z [       OK ] FunctionalTest.Hardtanh (24 ms)
2022-11-23T02:28:31.2929242Z [ RUN      ] FunctionalTest.LeakyReLU
2022-11-23T02:28:31.3005454Z [       OK ] FunctionalTest.LeakyReLU (7 ms)
2022-11-23T02:28:31.3005781Z [ RUN      ] FunctionalTest.LogSigmoid
2022-11-23T02:28:31.3021375Z [       OK ] FunctionalTest.LogSigmoid (1 ms)
2022-11-23T02:28:31.3021734Z [ RUN      ] FunctionalTest.GumbelSoftmax
2022-11-23T02:28:31.3291933Z [       OK ] FunctionalTest.GumbelSoftmax (26 ms)
2022-11-23T02:28:31.3292242Z [ RUN      ] FunctionalTest.Softmax
2022-11-23T02:28:31.3301290Z [       OK ] FunctionalTest.Softmax (1 ms)
2022-11-23T02:28:31.3301651Z [ RUN      ] FunctionalTest.Softmin
2022-11-23T02:28:31.3311099Z [       OK ] FunctionalTest.Softmin (0 ms)
2022-11-23T02:28:31.3311471Z [ RUN      ] FunctionalTest.LogSoftmax
2022-11-23T02:28:31.3321077Z [       OK ] FunctionalTest.LogSoftmax (0 ms)
2022-11-23T02:28:31.3321455Z [ RUN      ] FunctionalTest.PReLU
2022-11-23T02:28:31.3335427Z [       OK ] FunctionalTest.PReLU (1 ms)
2022-11-23T02:28:31.3335717Z [ RUN      ] FunctionalTest.LayerNorm
2022-11-23T02:28:31.3341204Z [       OK ] FunctionalTest.LayerNorm (0 ms)
2022-11-23T02:28:31.3341531Z [ RUN      ] FunctionalTest.GroupNorm
2022-11-23T02:28:31.3347003Z [       OK ] FunctionalTest.GroupNorm (0 ms)
2022-11-23T02:28:31.3347317Z [ RUN      ] FunctionalTest.LocalResponseNorm
2022-11-23T02:28:31.3358305Z [       OK ] FunctionalTest.LocalResponseNorm (1 ms)
2022-11-23T02:28:31.3358617Z [ RUN      ] FunctionalTest.Linear
2022-11-23T02:28:31.3378445Z [       OK ] FunctionalTest.Linear (1 ms)
2022-11-23T02:28:31.3378740Z [ RUN      ] FunctionalTest.Embedding
2022-11-23T02:28:31.3385136Z [       OK ] FunctionalTest.Embedding (0 ms)
2022-11-23T02:28:31.3385440Z [ RUN      ] FunctionalTest.EmbeddingBag
2022-11-23T02:28:31.3410565Z [       OK ] FunctionalTest.EmbeddingBag (2 ms)
2022-11-23T02:28:31.3410878Z [ RUN      ] FunctionalTest.Bilinear
2022-11-23T02:28:31.3443313Z [       OK ] FunctionalTest.Bilinear (3 ms)
2022-11-23T02:28:31.3443677Z [ RUN      ] FunctionalTest.Normalize
2022-11-23T02:28:31.3471341Z [       OK ] FunctionalTest.Normalize (2 ms)
2022-11-23T02:28:31.3471707Z [ RUN      ] FunctionalTest.ReLU
2022-11-23T02:28:31.3493928Z [       OK ] FunctionalTest.ReLU (2 ms)
2022-11-23T02:28:31.3494314Z [ RUN      ] FunctionalTest.ReLUDefaultOptions
2022-11-23T02:28:31.3499808Z [       OK ] FunctionalTest.ReLUDefaultOptions (0 ms)
2022-11-23T02:28:31.3500175Z [ RUN      ] FunctionalTest.ReLU6
2022-11-23T02:28:31.3525805Z [       OK ] FunctionalTest.ReLU6 (2 ms)
2022-11-23T02:28:31.3526193Z [ RUN      ] FunctionalTest.ReLU6DefaultOptions
2022-11-23T02:28:31.3533257Z [       OK ] FunctionalTest.ReLU6DefaultOptions (0 ms)
2022-11-23T02:28:31.3533630Z [ RUN      ] FunctionalTest.RReLU
2022-11-23T02:28:31.3841217Z [       OK ] FunctionalTest.RReLU (30 ms)
2022-11-23T02:28:31.3841553Z [ RUN      ] FunctionalTest.RReLUDefaultOptions
2022-11-23T02:28:31.3857182Z [       OK ] FunctionalTest.RReLUDefaultOptions (1 ms)
2022-11-23T02:28:31.3857665Z [ RUN      ] FunctionalTest.CELU
2022-11-23T02:28:31.3954015Z [       OK ] FunctionalTest.CELU (9 ms)
2022-11-23T02:28:31.3954352Z [ RUN      ] FunctionalTest.CELUDefaultOptions
2022-11-23T02:28:31.3964015Z [       OK ] FunctionalTest.CELUDefaultOptions (1 ms)
2022-11-23T02:28:31.3964351Z [ RUN      ] FunctionalTest.PixelShuffle
2022-11-23T02:28:31.3974169Z [       OK ] FunctionalTest.PixelShuffle (0 ms)
2022-11-23T02:28:31.3974488Z [ RUN      ] FunctionalTest.PixelUnshuffle
2022-11-23T02:28:31.3991928Z [       OK ] FunctionalTest.PixelUnshuffle (1 ms)
2022-11-23T02:28:31.3992344Z [ RUN      ] FunctionalTest.Softplus
2022-11-23T02:28:31.4053889Z [       OK ] FunctionalTest.Softplus (6 ms)
2022-11-23T02:28:31.4054229Z [ RUN      ] FunctionalTest.SoftplusDefaultOptions
2022-11-23T02:28:31.4061560Z [       OK ] FunctionalTest.SoftplusDefaultOptions (0 ms)
2022-11-23T02:28:31.4061878Z [ RUN      ] FunctionalTest.Fold
2022-11-23T02:28:31.4068899Z [       OK ] FunctionalTest.Fold (0 ms)
2022-11-23T02:28:31.4069182Z [ RUN      ] FunctionalTest.Unfold
2022-11-23T02:28:31.4078077Z [       OK ] FunctionalTest.Unfold (0 ms)
2022-11-23T02:28:31.4078390Z [ RUN      ] FunctionalTest.Softshrink
2022-11-23T02:28:31.4124391Z [       OK ] FunctionalTest.Softshrink (4 ms)
2022-11-23T02:28:31.4124760Z [ RUN      ] FunctionalTest.SoftshrinkDefaultOptions
2022-11-23T02:28:31.4130958Z [       OK ] FunctionalTest.SoftshrinkDefaultOptions (0 ms)
2022-11-23T02:28:31.4131290Z [ RUN      ] FunctionalTest.Softsign
2022-11-23T02:28:31.4136751Z [       OK ] FunctionalTest.Softsign (0 ms)
2022-11-23T02:28:31.4137053Z [ RUN      ] FunctionalTest.Mish
2022-11-23T02:28:31.4144571Z [       OK ] FunctionalTest.Mish (0 ms)
2022-11-23T02:28:31.4144913Z [ RUN      ] FunctionalTest.Tanhshrink
2022-11-23T02:28:31.4150549Z [       OK ] FunctionalTest.Tanhshrink (0 ms)
2022-11-23T02:28:31.4150847Z [ RUN      ] FunctionalTest.Threshold
2022-11-23T02:28:31.4260473Z [       OK ] FunctionalTest.Threshold (10 ms)
2022-11-23T02:28:31.4260767Z [ RUN      ] FunctionalTest.BatchNorm1d
2022-11-23T02:28:31.4268933Z [       OK ] FunctionalTest.BatchNorm1d (0 ms)
2022-11-23T02:28:31.4269283Z [ RUN      ] FunctionalTest.BatchNorm1dDefaultOptions
2022-11-23T02:28:31.4275769Z [       OK ] FunctionalTest.BatchNorm1dDefaultOptions (0 ms)
2022-11-23T02:28:31.4276114Z [ RUN      ] FunctionalTest.BatchNorm2d
2022-11-23T02:28:31.4284678Z [       OK ] FunctionalTest.BatchNorm2d (0 ms)
2022-11-23T02:28:31.4285100Z [ RUN      ] FunctionalTest.BatchNorm2dDefaultOptions
2022-11-23T02:28:31.4292467Z [       OK ] FunctionalTest.BatchNorm2dDefaultOptions (0 ms)
2022-11-23T02:28:31.4292886Z [ RUN      ] FunctionalTest.BatchNorm3d
2022-11-23T02:28:31.4300458Z [       OK ] FunctionalTest.BatchNorm3d (0 ms)
2022-11-23T02:28:31.4300862Z [ RUN      ] FunctionalTest.BatchNorm3dDefaultOptions
2022-11-23T02:28:31.4308001Z [       OK ] FunctionalTest.BatchNorm3dDefaultOptions (0 ms)
2022-11-23T02:28:31.4308423Z [ RUN      ] FunctionalTest.InstanceNorm1d
2022-11-23T02:28:31.4325317Z [       OK ] FunctionalTest.InstanceNorm1d (1 ms)
2022-11-23T02:28:31.4325725Z [ RUN      ] FunctionalTest.InstanceNorm1dDefaultOptions
2022-11-23T02:28:31.4336152Z [       OK ] FunctionalTest.InstanceNorm1dDefaultOptions (1 ms)
2022-11-23T02:28:31.4336563Z [ RUN      ] FunctionalTest.InstanceNorm2d
2022-11-23T02:28:31.4353317Z [       OK ] FunctionalTest.InstanceNorm2d (1 ms)
2022-11-23T02:28:31.4353738Z [ RUN      ] FunctionalTest.InstanceNorm2dDefaultOptions
2022-11-23T02:28:31.4366127Z [       OK ] FunctionalTest.InstanceNorm2dDefaultOptions (1 ms)
2022-11-23T02:28:31.4366694Z [ RUN      ] FunctionalTest.InstanceNorm3d
2022-11-23T02:28:31.4389903Z [       OK ] FunctionalTest.InstanceNorm3d (2 ms)
2022-11-23T02:28:31.4390357Z [ RUN      ] FunctionalTest.InstanceNorm3dDefaultOptions
2022-11-23T02:28:31.4409908Z [       OK ] FunctionalTest.InstanceNorm3dDefaultOptions (1 ms)
2022-11-23T02:28:31.4410326Z [ RUN      ] FunctionalTest.Interpolate
2022-11-23T02:28:31.4415745Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T02:28:31.4420090Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T02:28:31.4426912Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T02:28:31.4430623Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T02:28:31.4437390Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T02:28:31.4441759Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T02:28:31.4449062Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T02:28:31.4452853Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T02:28:31.4666695Z [       OK ] FunctionalTest.Interpolate (25 ms)
2022-11-23T02:28:31.4667013Z [ RUN      ] FunctionalTest.Pad1
2022-11-23T02:28:31.4674161Z [       OK ] FunctionalTest.Pad1 (0 ms)
2022-11-23T02:28:31.4674639Z [ RUN      ] FunctionalTest.Pad2
2022-11-23T02:28:31.4688297Z [       OK ] FunctionalTest.Pad2 (1 ms)
2022-11-23T02:28:31.4688578Z [ RUN      ] FunctionalTest.Pad3
2022-11-23T02:28:31.4725281Z [       OK ] FunctionalTest.Pad3 (3 ms)
2022-11-23T02:28:31.4725575Z [ RUN      ] FunctionalTest.Pad4
2022-11-23T02:28:31.4737632Z [       OK ] FunctionalTest.Pad4 (1 ms)
2022-11-23T02:28:31.4737915Z [ RUN      ] FunctionalTest.Pad5
2022-11-23T02:28:31.4758812Z [       OK ] FunctionalTest.Pad5 (2 ms)
2022-11-23T02:28:31.4759157Z [ RUN      ] FunctionalTest.Pad6
2022-11-23T02:28:31.4786623Z [       OK ] FunctionalTest.Pad6 (2 ms)
2022-11-23T02:28:31.4786959Z [ RUN      ] FunctionalTest.Pad7
2022-11-23T02:28:31.4788926Z [       OK ] FunctionalTest.Pad7 (0 ms)
2022-11-23T02:28:31.4789268Z [ RUN      ] FunctionalTest.Pad8
2022-11-23T02:28:31.4790958Z [       OK ] FunctionalTest.Pad8 (0 ms)
2022-11-23T02:28:31.4791315Z [ RUN      ] FunctionalTest.CTCLoss
2022-11-23T02:28:31.5088221Z [       OK ] FunctionalTest.CTCLoss (29 ms)
2022-11-23T02:28:31.5088551Z [ RUN      ] FunctionalTest.PoissonNLLLoss
2022-11-23T02:28:31.5112037Z [       OK ] FunctionalTest.PoissonNLLLoss (2 ms)
2022-11-23T02:28:31.5112380Z [ RUN      ] FunctionalTest.MarginRankingLoss
2022-11-23T02:28:31.5137084Z [       OK ] FunctionalTest.MarginRankingLoss (2 ms)
2022-11-23T02:28:31.5137411Z [ RUN      ] FunctionalTest.ConvTranspose1d
2022-11-23T02:28:31.5155968Z [       OK ] FunctionalTest.ConvTranspose1d (1 ms)
2022-11-23T02:28:31.5156317Z [ RUN      ] FunctionalTest.ConvTranspose2dEven
2022-11-23T02:28:31.5186131Z [       OK ] FunctionalTest.ConvTranspose2dEven (2 ms)
2022-11-23T02:28:31.5186478Z [ RUN      ] FunctionalTest.ConvTranspose2dUneven
2022-11-23T02:28:31.5210193Z [       OK ] FunctionalTest.ConvTranspose2dUneven (2 ms)
2022-11-23T02:28:31.5210536Z [ RUN      ] FunctionalTest.ConvTranspose3d
2022-11-23T02:28:31.5229591Z [       OK ] FunctionalTest.ConvTranspose3d (1 ms)
2022-11-23T02:28:31.5229899Z [ RUN      ] FunctionalTest.AlphaDropout
2022-11-23T02:28:31.5336958Z [       OK ] FunctionalTest.AlphaDropout (10 ms)
2022-11-23T02:28:31.5337347Z [ RUN      ] FunctionalTest.FeatureAlphaDropout
2022-11-23T02:28:31.5443043Z [       OK ] FunctionalTest.FeatureAlphaDropout (10 ms)
2022-11-23T02:28:31.5443624Z [ RUN      ] FunctionalTest.Dropout
2022-11-23T02:28:31.5487135Z [       OK ] FunctionalTest.Dropout (4 ms)
2022-11-23T02:28:31.5487676Z [ RUN      ] FunctionalTest.Dropout2d
2022-11-23T02:28:31.5536525Z [       OK ] FunctionalTest.Dropout2d (4 ms)
2022-11-23T02:28:31.5537075Z [ RUN      ] FunctionalTest.Dropout3d
2022-11-23T02:28:31.5586259Z [       OK ] FunctionalTest.Dropout3d (4 ms)
2022-11-23T02:28:31.5586801Z [ RUN      ] FunctionalTest.isfinite
2022-11-23T02:28:31.5630324Z [       OK ] FunctionalTest.isfinite (4 ms)
2022-11-23T02:28:31.5630838Z [ RUN      ] FunctionalTest.isinf
2022-11-23T02:28:31.5667541Z [       OK ] FunctionalTest.isinf (3 ms)
2022-11-23T02:28:31.5668066Z [ RUN      ] FunctionalTest.AllClose
2022-11-23T02:28:31.6365870Z [       OK ] FunctionalTest.AllClose (69 ms)
2022-11-23T02:28:31.6366427Z [ RUN      ] FunctionalTest.BCEWithLogitsLoss
2022-11-23T02:28:31.6553594Z [       OK ] FunctionalTest.BCEWithLogitsLoss (18 ms)
2022-11-23T02:28:31.6554261Z [----------] 132 tests from FunctionalTest (650 ms total)
2022-11-23T02:28:31.6554657Z 
2022-11-23T02:28:31.6554814Z [----------] 1 test from IntegrationTest
2022-11-23T02:28:31.6555110Z [ RUN      ] IntegrationTest.CartPole
2022-11-23T02:30:20.9870266Z [       OK ] IntegrationTest.CartPole (109331 ms)
2022-11-23T02:30:20.9871082Z [----------] 1 test from IntegrationTest (109331 ms total)
2022-11-23T02:30:20.9872339Z 
2022-11-23T02:30:20.9872882Z [----------] 9 tests from InitTest
2022-11-23T02:30:20.9873217Z [ RUN      ] InitTest.ProducesPyTorchValues_XavierUniform
2022-11-23T02:30:21.0012572Z [       OK ] InitTest.ProducesPyTorchValues_XavierUniform (14 ms)
2022-11-23T02:30:21.0012976Z [ RUN      ] InitTest.ProducesPyTorchValues_XavierNormal
2022-11-23T02:30:21.0150794Z [       OK ] InitTest.ProducesPyTorchValues_XavierNormal (13 ms)
2022-11-23T02:30:21.0151202Z [ RUN      ] InitTest.ProducesPyTorchValues_KaimingNormal
2022-11-23T02:30:21.0266115Z [       OK ] InitTest.ProducesPyTorchValues_KaimingNormal (11 ms)
2022-11-23T02:30:21.0383471Z [ RUN      ] InitTest.ProducesPyTorchValues_KaimingUniform
2022-11-23T02:30:21.0383843Z [       OK ] InitTest.ProducesPyTorchValues_KaimingUniform (11 ms)
2022-11-23T02:30:21.0384244Z [ RUN      ] InitTest.CanInitializeTensorThatRequiresGrad
2022-11-23T02:30:21.0454853Z [       OK ] InitTest.CanInitializeTensorThatRequiresGrad (7 ms)
2022-11-23T02:30:21.0455518Z [ RUN      ] InitTest.CalculateGainWithTanh
2022-11-23T02:30:21.0455992Z [       OK ] InitTest.CalculateGainWithTanh (0 ms)
2022-11-23T02:30:21.0456311Z [ RUN      ] InitTest.CalculateGainWithRelu
2022-11-23T02:30:21.0456636Z [       OK ] InitTest.CalculateGainWithRelu (0 ms)
2022-11-23T02:30:21.0456958Z [ RUN      ] InitTest.CalculateGainWithLeakyRelu
2022-11-23T02:30:21.0457789Z [       OK ] InitTest.CalculateGainWithLeakyRelu (0 ms)
2022-11-23T02:30:21.0458243Z [ RUN      ] InitTest.CanInitializeCnnWithOrthogonal
2022-11-23T02:30:21.0491094Z [       OK ] InitTest.CanInitializeCnnWithOrthogonal (3 ms)
2022-11-23T02:30:21.0491784Z [----------] 9 tests from InitTest (62 ms total)
2022-11-23T02:30:21.0492070Z 
2022-11-23T02:30:21.0492479Z [----------] 6 tests from TorchScriptTest
2022-11-23T02:30:21.0493055Z [ RUN      ] TorchScriptTest.CanCompileMultipleFunctions
2022-11-23T02:30:21.4208101Z [       OK ] TorchScriptTest.CanCompileMultipleFunctions (371 ms)
2022-11-23T02:30:21.4208591Z [ RUN      ] TorchScriptTest.TestNestedIValueModuleArgMatching
2022-11-23T02:30:21.4302237Z [       OK ] TorchScriptTest.TestNestedIValueModuleArgMatching (9 ms)
2022-11-23T02:30:21.4302660Z [ RUN      ] TorchScriptTest.TestDictArgMatching
2022-11-23T02:30:21.4326956Z [       OK ] TorchScriptTest.TestDictArgMatching (2 ms)
2022-11-23T02:30:21.4327408Z [ RUN      ] TorchScriptTest.TestTupleArgMatching
2022-11-23T02:30:21.4339893Z [       OK ] TorchScriptTest.TestTupleArgMatching (1 ms)
2022-11-23T02:30:21.4340354Z [ RUN      ] TorchScriptTest.TestOptionalArgMatching
2022-11-23T02:30:21.4385097Z [       OK ] TorchScriptTest.TestOptionalArgMatching (4 ms)
2022-11-23T02:30:21.4385769Z [ RUN      ] TorchScriptTest.TestPickle
2022-11-23T02:30:21.4386137Z [       OK ] TorchScriptTest.TestPickle (0 ms)
2022-11-23T02:30:21.4387131Z [----------] 6 tests from TorchScriptTest (389 ms total)
2022-11-23T02:30:21.4387403Z 
2022-11-23T02:30:21.4387593Z [----------] 3 tests from MakeUniqueTest
2022-11-23T02:30:21.4387989Z [ RUN      ] MakeUniqueTest.ForwardRvaluesCorrectly
2022-11-23T02:30:21.4388530Z [       OK ] MakeUniqueTest.ForwardRvaluesCorrectly (0 ms)
2022-11-23T02:30:21.4389191Z [ RUN      ] MakeUniqueTest.ForwardLvaluesCorrectly
2022-11-23T02:30:21.4389937Z [       OK ] MakeUniqueTest.ForwardLvaluesCorrectly (0 ms)
2022-11-23T02:30:21.4390532Z [ RUN      ] MakeUniqueTest.CanConstructUniquePtrOfArray
2022-11-23T02:30:21.4391158Z [       OK ] MakeUniqueTest.CanConstructUniquePtrOfArray (0 ms)
2022-11-23T02:30:21.4391893Z [----------] 3 tests from MakeUniqueTest (0 ms total)
2022-11-23T02:30:21.4392198Z 
2022-11-23T02:30:21.4392471Z [----------] 2 tests from MetaTensorTest
2022-11-23T02:30:21.4392807Z [ RUN      ] MetaTensorTest.MetaDeviceApi
2022-11-23T02:30:21.4393389Z [       OK ] MetaTensorTest.MetaDeviceApi (0 ms)
2022-11-23T02:30:21.4393895Z [ RUN      ] MetaTensorTest.MetaNamespaceApi
2022-11-23T02:30:21.4394234Z [       OK ] MetaTensorTest.MetaNamespaceApi (0 ms)
2022-11-23T02:30:21.4394573Z [----------] 2 tests from MetaTensorTest (0 ms total)
2022-11-23T02:30:21.4394733Z 
2022-11-23T02:30:21.4394860Z [----------] 2 tests from UtilsTest
2022-11-23T02:30:21.4395128Z [ RUN      ] UtilsTest.WarnOnce
2022-11-23T02:30:21.4395406Z [       OK ] UtilsTest.WarnOnce (0 ms)
2022-11-23T02:30:21.4395719Z [ RUN      ] UtilsTest.AmbiguousOperatorDefaults
2022-11-23T02:30:21.4396063Z [       OK ] UtilsTest.AmbiguousOperatorDefaults (0 ms)
2022-11-23T02:30:21.4396396Z [----------] 2 tests from UtilsTest (0 ms total)
2022-11-23T02:30:21.4396542Z 
2022-11-23T02:30:21.4396680Z [----------] 1 test from NoGradTest
2022-11-23T02:30:21.4396965Z [ RUN      ] NoGradTest.SetsGradModeCorrectly
2022-11-23T02:30:21.4455543Z [       OK ] NoGradTest.SetsGradModeCorrectly (6 ms)
2022-11-23T02:30:21.4455922Z [----------] 1 test from NoGradTest (6 ms total)
2022-11-23T02:30:21.4456073Z 
2022-11-23T02:30:21.4456222Z [----------] 3 tests from AutogradTest
2022-11-23T02:30:21.4456511Z [ RUN      ] AutogradTest.CanTakeDerivatives
2022-11-23T02:30:21.4464990Z [       OK ] AutogradTest.CanTakeDerivatives (0 ms)
2022-11-23T02:30:21.4465424Z [ RUN      ] AutogradTest.CanTakeDerivativesOfZeroDimTensors
2022-11-23T02:30:21.4473252Z [       OK ] AutogradTest.CanTakeDerivativesOfZeroDimTensors (0 ms)
2022-11-23T02:30:21.4473893Z [ RUN      ] AutogradTest.CanPassCustomGradientInputs
2022-11-23T02:30:21.4481869Z [       OK ] AutogradTest.CanPassCustomGradientInputs (0 ms)
2022-11-23T02:30:21.4482368Z [----------] 3 tests from AutogradTest (2 ms total)
2022-11-23T02:30:21.4482624Z 
2022-11-23T02:30:21.4482786Z [----------] 1 test from OptionalArrayRefTest
2022-11-23T02:30:21.4483171Z [ RUN      ] OptionalArrayRefTest.DanglingPointerFix
2022-11-23T02:30:21.4483556Z [       OK ] OptionalArrayRefTest.DanglingPointerFix (0 ms)
2022-11-23T02:30:21.4483937Z [----------] 1 test from OptionalArrayRefTest (0 ms total)
2022-11-23T02:30:21.4484092Z 
2022-11-23T02:30:21.4484237Z [----------] 52 tests from ModuleTest
2022-11-23T02:30:21.4484574Z [ RUN      ] ModuleTest.CanEnableAndDisableTrainingMode
2022-11-23T02:30:21.4496707Z [       OK ] ModuleTest.CanEnableAndDisableTrainingMode (1 ms)
2022-11-23T02:30:21.4497228Z [ RUN      ] ModuleTest.ZeroGrad
2022-11-23T02:30:21.4507707Z [       OK ] ModuleTest.ZeroGrad (1 ms)
2022-11-23T02:30:21.4508317Z [ RUN      ] ModuleTest.ZeroGradWithUndefined
2022-11-23T02:30:21.4513865Z [       OK ] ModuleTest.ZeroGradWithUndefined (0 ms)
2022-11-23T02:30:21.4514503Z [ RUN      ] ModuleTest.RegisterModuleThrowsForEmptyOrDottedName
2022-11-23T02:30:21.4566930Z [       OK ] ModuleTest.RegisterModuleThrowsForEmptyOrDottedName (5 ms)
2022-11-23T02:30:21.4567502Z [ RUN      ] ModuleTest.RegisterModuleThrowsForDuplicateModuleName
2022-11-23T02:30:21.4606794Z [       OK ] ModuleTest.RegisterModuleThrowsForDuplicateModuleName (3 ms)
2022-11-23T02:30:21.4607269Z [ RUN      ] ModuleTest.ReplaceModuleThrowsForUnknownModuleName
2022-11-23T02:30:21.4645434Z [       OK ] ModuleTest.ReplaceModuleThrowsForUnknownModuleName (3 ms)
2022-11-23T02:30:21.4645815Z [ RUN      ] ModuleTest.ReplaceModule
2022-11-23T02:30:21.4648280Z [       OK ] ModuleTest.ReplaceModule (0 ms)
2022-11-23T02:30:21.4648666Z [ RUN      ] ModuleTest.UnregisterModule
2022-11-23T02:30:21.4710481Z [       OK ] ModuleTest.UnregisterModule (6 ms)
2022-11-23T02:30:21.4711020Z [ RUN      ] ModuleTest.RegisterParameterThrowsForEmptyOrDottedName
2022-11-23T02:30:21.4777555Z [       OK ] ModuleTest.RegisterParameterThrowsForEmptyOrDottedName (6 ms)
2022-11-23T02:30:21.4778100Z [ RUN      ] ModuleTest.RegisterParameterThrowsForDuplicateModuleName
2022-11-23T02:30:21.4832489Z [       OK ] ModuleTest.RegisterParameterThrowsForDuplicateModuleName (5 ms)
2022-11-23T02:30:21.4832972Z [ RUN      ] ModuleTest.RegisterParameterUndefinedTensor
2022-11-23T02:30:21.4833401Z [       OK ] ModuleTest.RegisterParameterUndefinedTensor (0 ms)
2022-11-23T02:30:21.4833838Z [ RUN      ] ModuleTest.RegisterBufferThrowsForEmptyOrDottedName
2022-11-23T02:30:21.4900279Z [       OK ] ModuleTest.RegisterBufferThrowsForEmptyOrDottedName (6 ms)
2022-11-23T02:30:21.4900755Z [ RUN      ] ModuleTest.RegisterBufferThrowsForDuplicateModuleName
2022-11-23T02:30:21.4954259Z [       OK ] ModuleTest.RegisterBufferThrowsForDuplicateModuleName (5 ms)
2022-11-23T02:30:21.4954647Z [ RUN      ] ModuleTest.CanGetName
2022-11-23T02:30:21.4963574Z [       OK ] ModuleTest.CanGetName (0 ms)
2022-11-23T02:30:21.4963982Z [ RUN      ] ModuleTest.AsCastsModulesCorrectly
2022-11-23T02:30:21.4965955Z [       OK ] ModuleTest.AsCastsModulesCorrectly (0 ms)
2022-11-23T02:30:21.4966420Z [ RUN      ] ModuleTest.DeviceOrDtypeConversionSkipsUndefinedTensor
2022-11-23T02:30:21.4985271Z [       OK ] ModuleTest.DeviceOrDtypeConversionSkipsUndefinedTensor (1 ms)
2022-11-23T02:30:21.4985948Z [ RUN      ] ModuleTest.ParametersAndBuffersAccessorSkipsUndefinedTensor
2022-11-23T02:30:21.4988411Z [       OK ] ModuleTest.ParametersAndBuffersAccessorSkipsUndefinedTensor (0 ms)
2022-11-23T02:30:21.4988945Z [ RUN      ] ModuleTest.CallingCloneOnModuleThatDoesNotOverrideCloneThrows
2022-11-23T02:30:21.5022681Z [       OK ] ModuleTest.CallingCloneOnModuleThatDoesNotOverrideCloneThrows (3 ms)
2022-11-23T02:30:21.5023434Z [ RUN      ] ModuleTest.CallingCloneOnModuleThatDoesOverrideCloneDoesNotThrow
2022-11-23T02:30:21.5023999Z [       OK ] ModuleTest.CallingCloneOnModuleThatDoesOverrideCloneDoesNotThrow (0 ms)
2022-11-23T02:30:21.5024465Z [ RUN      ] ModuleTest.CloneCreatesDistinctParameters
2022-11-23T02:30:21.5084585Z [       OK ] ModuleTest.CloneCreatesDistinctParameters (6 ms)
2022-11-23T02:30:21.5085000Z [ RUN      ] ModuleTest.ClonePreservesExternalReferences
2022-11-23T02:30:21.5096564Z [       OK ] ModuleTest.ClonePreservesExternalReferences (1 ms)
2022-11-23T02:30:21.5097014Z [ RUN      ] ModuleTest.CloneCopiesTheValuesOfVariablesOfSubmodules
2022-11-23T02:30:21.5105902Z [       OK ] ModuleTest.CloneCopiesTheValuesOfVariablesOfSubmodules (0 ms)
2022-11-23T02:30:21.5106418Z [ RUN      ] ModuleTest.HasCorrectNumberOfParameters
2022-11-23T02:30:21.5108330Z [       OK ] ModuleTest.HasCorrectNumberOfParameters (0 ms)
2022-11-23T02:30:21.5108811Z [ RUN      ] ModuleTest.ContainsParametersWithTheCorrectName
2022-11-23T02:30:21.5110326Z [       OK ] ModuleTest.ContainsParametersWithTheCorrectName (0 ms)
2022-11-23T02:30:21.5110790Z [ RUN      ] ModuleTest.HasCorrectNumberOfBuffers
2022-11-23T02:30:21.5112765Z [       OK ] ModuleTest.HasCorrectNumberOfBuffers (0 ms)
2022-11-23T02:30:21.5113156Z [ RUN      ] ModuleTest.ContainsBuffersWithTheCorrectName
2022-11-23T02:30:21.5114605Z [       OK ] ModuleTest.ContainsBuffersWithTheCorrectName (0 ms)
2022-11-23T02:30:21.5115234Z [ RUN      ] ModuleTest.DefaultConstructorOfModuleHolderCallsDefaultConstructorOfImpl
2022-11-23T02:30:21.5116183Z [       OK ] ModuleTest.DefaultConstructorOfModuleHolderCallsDefaultConstructorOfImpl (0 ms)
2022-11-23T02:30:21.5116876Z [ RUN      ] ModuleTest.ValueConstructorOfModuleHolderCallsCorrectConstructorInImpl
2022-11-23T02:30:21.5117711Z [       OK ] ModuleTest.ValueConstructorOfModuleHolderCallsCorrectConstructorInImpl (0 ms)
2022-11-23T02:30:21.5118271Z [ RUN      ] ModuleTest.NullptrConstructorLeavesTheModuleHolderInEmptyState
2022-11-23T02:30:21.5139479Z [       OK ] ModuleTest.NullptrConstructorLeavesTheModuleHolderInEmptyState (2 ms)
2022-11-23T02:30:21.5139973Z [ RUN      ] ModuleTest.ModulesReturnsExpectedSubmodulesForFlatModel
2022-11-23T02:30:21.5155073Z [       OK ] ModuleTest.ModulesReturnsExpectedSubmodulesForFlatModel (1 ms)
2022-11-23T02:30:21.5155596Z [ RUN      ] ModuleTest.ModulesExcludesSelfWhenIncludeSelfSetToFalse
2022-11-23T02:30:21.5158163Z [       OK ] ModuleTest.ModulesExcludesSelfWhenIncludeSelfSetToFalse (0 ms)
2022-11-23T02:30:21.5158690Z [ RUN      ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForFlatModel
2022-11-23T02:30:21.5161699Z [       OK ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForFlatModel (0 ms)
2022-11-23T02:30:21.5162241Z [ RUN      ] ModuleTest.NamedModulesExcludesSelfWhenIncludeSelfSetToFalse
2022-11-23T02:30:21.5165094Z [       OK ] ModuleTest.NamedModulesExcludesSelfWhenIncludeSelfSetToFalse (0 ms)
2022-11-23T02:30:21.5165584Z [ RUN      ] ModuleTest.ChildrenReturnsExpectedSubmodulesForFlatModel
2022-11-23T02:30:21.5168493Z [       OK ] ModuleTest.ChildrenReturnsExpectedSubmodulesForFlatModel (0 ms)
2022-11-23T02:30:21.5169086Z [ RUN      ] ModuleTest.NamedChildrenReturnsExpectedNamedSubmodulesForFlatModel
2022-11-23T02:30:21.5172070Z [       OK ] ModuleTest.NamedChildrenReturnsExpectedNamedSubmodulesForFlatModel (0 ms)
2022-11-23T02:30:21.5172639Z [ RUN      ] ModuleTest.ParametersReturnsExpectedTensorsForFlatModel
2022-11-23T02:30:21.5173464Z [       OK ] ModuleTest.ParametersReturnsExpectedTensorsForFlatModel (0 ms)
2022-11-23T02:30:21.5174016Z [ RUN      ] ModuleTest.NamedParametersReturnsExpectedTensorsForFlatModel
2022-11-23T02:30:21.5175197Z [       OK ] ModuleTest.NamedParametersReturnsExpectedTensorsForFlatModel (0 ms)
2022-11-23T02:30:21.5175717Z [ RUN      ] ModuleTest.BuffersReturnsExpectedTensorsForFlatModel
2022-11-23T02:30:21.5176836Z [       OK ] ModuleTest.BuffersReturnsExpectedTensorsForFlatModel (0 ms)
2022-11-23T02:30:21.5177372Z [ RUN      ] ModuleTest.NamedBuffersReturnsExpectedTensorsForFlatModel
2022-11-23T02:30:21.5178767Z [       OK ] ModuleTest.NamedBuffersReturnsExpectedTensorsForFlatModel (0 ms)
2022-11-23T02:30:21.5179319Z [ RUN      ] ModuleTest.ModulesReturnsExpectedSubmodulesForDeepModel
2022-11-23T02:30:21.5181799Z [       OK ] ModuleTest.ModulesReturnsExpectedSubmodulesForDeepModel (0 ms)
2022-11-23T02:30:21.5182376Z [ RUN      ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForDeepModel
2022-11-23T02:30:21.5184715Z [       OK ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForDeepModel (0 ms)
2022-11-23T02:30:21.5185302Z [ RUN      ] ModuleTest.ChildrensReturnsExpectedSubmodulesForDeepModel
2022-11-23T02:30:21.5187226Z [       OK ] ModuleTest.ChildrensReturnsExpectedSubmodulesForDeepModel (0 ms)
2022-11-23T02:30:21.5187819Z [ RUN      ] ModuleTest.NamedChildrensReturnsExpectedNamedSubmodulesForDeepModel
2022-11-23T02:30:21.5189591Z [       OK ] ModuleTest.NamedChildrensReturnsExpectedNamedSubmodulesForDeepModel (0 ms)
2022-11-23T02:30:21.5190270Z [ RUN      ] ModuleTest.ModuleApplyIteratesCorreclty
2022-11-23T02:30:21.5192109Z [       OK ] ModuleTest.ModuleApplyIteratesCorreclty (0 ms)
2022-11-23T02:30:21.5192553Z [ RUN      ] ModuleTest.ConstModuleApplyIteratesCorreclty
2022-11-23T02:30:21.5194755Z [       OK ] ModuleTest.ConstModuleApplyIteratesCorreclty (0 ms)
2022-11-23T02:30:21.5195223Z [ RUN      ] ModuleTest.NamedModuleApplyIteratesCorreclty
2022-11-23T02:30:21.5197398Z [       OK ] ModuleTest.NamedModuleApplyIteratesCorreclty (0 ms)
2022-11-23T02:30:21.5197838Z [ RUN      ] ModuleTest.ConstNamedModuleApplyIteratesCorreclty
2022-11-23T02:30:21.5200046Z [       OK ] ModuleTest.ConstNamedModuleApplyIteratesCorreclty (0 ms)
2022-11-23T02:30:21.5200570Z [ RUN      ] ModuleTest.ModulePointerApplyIteratesCorreclty
2022-11-23T02:30:21.5202788Z [       OK ] ModuleTest.ModulePointerApplyIteratesCorreclty (0 ms)
2022-11-23T02:30:21.5203266Z [ RUN      ] ModuleTest.NamedModulePointerApplyIteratesCorreclty
2022-11-23T02:30:21.5205051Z [       OK ] ModuleTest.NamedModulePointerApplyIteratesCorreclty (0 ms)
2022-11-23T02:30:21.5205567Z [ RUN      ] ModuleTest.ThrowsWhenAttemptingtoGetTopLevelModuleAsSharedPtr
2022-11-23T02:30:21.5276156Z [       OK ] ModuleTest.ThrowsWhenAttemptingtoGetTopLevelModuleAsSharedPtr (6 ms)
2022-11-23T02:30:21.5276815Z [ RUN      ] ModuleTest.PrettyPrint
2022-11-23T02:30:21.5277311Z [       OK ] ModuleTest.PrettyPrint (0 ms)
2022-11-23T02:30:21.5277940Z [ RUN      ] ModuleTest.CanCallForwardOnNonTensorForwardThroughPimpl
2022-11-23T02:30:21.5278723Z [       OK ] ModuleTest.CanCallForwardOnNonTensorForwardThroughPimpl (0 ms)
2022-11-23T02:30:21.5279179Z [----------] 52 tests from ModuleTest (79 ms total)
2022-11-23T02:30:21.5279422Z 
2022-11-23T02:30:21.5279712Z [----------] 11 tests from ModuleDictTest
2022-11-23T02:30:21.5280223Z [ RUN      ] ModuleDictTest.ConstructsFromList
2022-11-23T02:30:21.5280563Z [       OK ] ModuleDictTest.ConstructsFromList (0 ms)
2022-11-23T02:30:21.5280925Z [ RUN      ] ModuleDictTest.ConstructsFromordereddict
2022-11-23T02:30:21.5291865Z [       OK ] ModuleDictTest.ConstructsFromordereddict (1 ms)
2022-11-23T02:30:21.5292506Z [ RUN      ] ModuleDictTest.UpdatePopClearContains
2022-11-23T02:30:21.5317868Z [       OK ] ModuleDictTest.UpdatePopClearContains (2 ms)
2022-11-23T02:30:21.5318342Z [ RUN      ] ModuleDictTest.UpdateExist
2022-11-23T02:30:21.5319026Z [       OK ] ModuleDictTest.UpdateExist (0 ms)
2022-11-23T02:30:21.5319546Z [ RUN      ] ModuleDictTest.Keys
2022-11-23T02:30:21.5349817Z [       OK ] ModuleDictTest.Keys (3 ms)
2022-11-23T02:30:21.5350224Z [ RUN      ] ModuleDictTest.Values
2022-11-23T02:30:21.5350567Z [       OK ] ModuleDictTest.Values (0 ms)
2022-11-23T02:30:21.5350940Z [ RUN      ] ModuleDictTest.SanityCheckForHoldingStandardModules
2022-11-23T02:30:21.5414127Z [       OK ] ModuleDictTest.SanityCheckForHoldingStandardModules (6 ms)
2022-11-23T02:30:21.5414547Z [ RUN      ] ModuleDictTest.HasReferenceSemantics
2022-11-23T02:30:21.5416541Z [       OK ] ModuleDictTest.HasReferenceSemantics (0 ms)
2022-11-23T02:30:21.5416914Z [ RUN      ] ModuleDictTest.IsCloneable
2022-11-23T02:30:21.5463828Z [       OK ] ModuleDictTest.IsCloneable (4 ms)
2022-11-23T02:30:21.5464209Z [ RUN      ] ModuleDictTest.RegistersElementsAsSubmodules
2022-11-23T02:30:21.5472839Z [       OK ] ModuleDictTest.RegistersElementsAsSubmodules (0 ms)
2022-11-23T02:30:21.5473256Z [ RUN      ] ModuleDictTest.PrettyPrintModuleDict
2022-11-23T02:30:21.5494870Z [       OK ] ModuleDictTest.PrettyPrintModuleDict (2 ms)
2022-11-23T02:30:21.5495287Z [----------] 11 tests from ModuleDictTest (21 ms total)
2022-11-23T02:30:21.5495768Z 
2022-11-23T02:30:21.5496021Z [----------] 15 tests from ModuleListTest
2022-11-23T02:30:21.5496487Z [ RUN      ] ModuleListTest.ConstructsFromSharedPointer
2022-11-23T02:30:21.5497346Z [       OK ] ModuleListTest.ConstructsFromSharedPointer (0 ms)
2022-11-23T02:30:21.5497956Z [ RUN      ] ModuleListTest.ConstructsFromConcreteType
2022-11-23T02:30:21.5498361Z [       OK ] ModuleListTest.ConstructsFromConcreteType (0 ms)
2022-11-23T02:30:21.5498871Z [ RUN      ] ModuleListTest.ConstructsFromModuleHolder
2022-11-23T02:30:21.5499309Z [       OK ] ModuleListTest.ConstructsFromModuleHolder (0 ms)
2022-11-23T02:30:21.5499668Z [ RUN      ] ModuleListTest.PushBackAddsAnElement
2022-11-23T02:30:21.5500033Z [       OK ] ModuleListTest.PushBackAddsAnElement (0 ms)
2022-11-23T02:30:21.5500395Z [ RUN      ] ModuleListTest.Insertion
2022-11-23T02:30:21.5501288Z [       OK ] ModuleListTest.Insertion (0 ms)
2022-11-23T02:30:21.5501600Z [ RUN      ] ModuleListTest.AccessWithAt
2022-11-23T02:30:21.5559597Z [       OK ] ModuleListTest.AccessWithAt (5 ms)
2022-11-23T02:30:21.5560015Z [ RUN      ] ModuleListTest.AccessWithPtr
2022-11-23T02:30:21.5606554Z [       OK ] ModuleListTest.AccessWithPtr (4 ms)
2022-11-23T02:30:21.5606952Z [ RUN      ] ModuleListTest.SanityCheckForHoldingStandardModules
2022-11-23T02:30:21.5615290Z [       OK ] ModuleListTest.SanityCheckForHoldingStandardModules (0 ms)
2022-11-23T02:30:21.5615809Z [ RUN      ] ModuleListTest.ExtendPushesModulesFromOtherModuleList
2022-11-23T02:30:21.5616996Z [       OK ] ModuleListTest.ExtendPushesModulesFromOtherModuleList (0 ms)
2022-11-23T02:30:21.5617416Z [ RUN      ] ModuleListTest.HasReferenceSemantics
2022-11-23T02:30:21.5619624Z [       OK ] ModuleListTest.HasReferenceSemantics (0 ms)
2022-11-23T02:30:21.5619951Z [ RUN      ] ModuleListTest.IsCloneable
2022-11-23T02:30:21.5651845Z [       OK ] ModuleListTest.IsCloneable (3 ms)
2022-11-23T02:30:21.5652273Z [ RUN      ] ModuleListTest.RegistersElementsAsSubmodules
2022-11-23T02:30:21.5656070Z [       OK ] ModuleListTest.RegistersElementsAsSubmodules (0 ms)
2022-11-23T02:30:21.5656719Z [ RUN      ] ModuleListTest.NestingIsPossible
2022-11-23T02:30:21.5657301Z [       OK ] ModuleListTest.NestingIsPossible (0 ms)
2022-11-23T02:30:21.5657663Z [ RUN      ] ModuleListTest.PrettyPrintModuleList
2022-11-23T02:30:21.5665199Z [       OK ] ModuleListTest.PrettyPrintModuleList (0 ms)
2022-11-23T02:30:21.5665818Z [ RUN      ] ModuleListTest.RangeBasedForLoop
2022-11-23T02:30:21.5667920Z [       OK ] ModuleListTest.RangeBasedForLoop (0 ms)
2022-11-23T02:30:21.5668295Z [----------] 15 tests from ModuleListTest (17 ms total)
2022-11-23T02:30:21.5668465Z 
2022-11-23T02:30:21.5668600Z [----------] 256 tests from ModulesTest
2022-11-23T02:30:21.5668869Z [ RUN      ] ModulesTest.Conv1d
2022-11-23T02:30:21.5719902Z [       OK ] ModulesTest.Conv1d (5 ms)
2022-11-23T02:30:21.5720227Z [ RUN      ] ModulesTest.Conv1dSameStrided
2022-11-23T02:30:21.5815411Z [       OK ] ModulesTest.Conv1dSameStrided (9 ms)
2022-11-23T02:30:21.5815906Z [ RUN      ] ModulesTest.Conv2dEven
2022-11-23T02:30:21.5841541Z [       OK ] ModulesTest.Conv2dEven (2 ms)
2022-11-23T02:30:21.5842075Z [ RUN      ] ModulesTest.Conv2dUneven
2022-11-23T02:30:21.5861175Z [       OK ] ModulesTest.Conv2dUneven (1 ms)
2022-11-23T02:30:21.5861742Z [ RUN      ] ModulesTest.Conv2dSameStrided
2022-11-23T02:30:21.6013630Z [       OK ] ModulesTest.Conv2dSameStrided (15 ms)
2022-11-23T02:30:21.6014110Z [ RUN      ] ModulesTest.Conv3d
2022-11-23T02:30:21.6046453Z [       OK ] ModulesTest.Conv3d (3 ms)
2022-11-23T02:30:21.6046986Z [ RUN      ] ModulesTest.Conv3dSameStrided
2022-11-23T02:30:21.6198913Z [       OK ] ModulesTest.Conv3dSameStrided (15 ms)
2022-11-23T02:30:21.6199244Z [ RUN      ] ModulesTest.ConvTranspose1d
2022-11-23T02:30:21.6221588Z [       OK ] ModulesTest.ConvTranspose1d (2 ms)
2022-11-23T02:30:21.6221908Z [ RUN      ] ModulesTest.ConvTranspose2dEven
2022-11-23T02:30:21.6269104Z [       OK ] ModulesTest.ConvTranspose2dEven (4 ms)
2022-11-23T02:30:21.6269451Z [ RUN      ] ModulesTest.ConvTranspose2dUneven
2022-11-23T02:30:21.6297058Z [       OK ] ModulesTest.ConvTranspose2dUneven (2 ms)
2022-11-23T02:30:21.6297373Z [ RUN      ] ModulesTest.ConvTranspose3d
2022-11-23T02:30:21.6319360Z [       OK ] ModulesTest.ConvTranspose3d (2 ms)
2022-11-23T02:30:21.6319664Z [ RUN      ] ModulesTest.MaxPool1d
2022-11-23T02:30:21.6330748Z [       OK ] ModulesTest.MaxPool1d (1 ms)
2022-11-23T02:30:21.6331091Z [ RUN      ] ModulesTest.MaxPool1dReturnIndices
2022-11-23T02:30:21.6341037Z [       OK ] ModulesTest.MaxPool1dReturnIndices (1 ms)
2022-11-23T02:30:21.6341409Z [ RUN      ] ModulesTest.MaxPool2dEven
2022-11-23T02:30:21.6350470Z [       OK ] ModulesTest.MaxPool2dEven (0 ms)
2022-11-23T02:30:21.6350817Z [ RUN      ] ModulesTest.MaxPool2dUneven
2022-11-23T02:30:21.6359078Z [       OK ] ModulesTest.MaxPool2dUneven (0 ms)
2022-11-23T02:30:21.6359418Z [ RUN      ] ModulesTest.MaxPool2dReturnIndices
2022-11-23T02:30:21.6369500Z [       OK ] ModulesTest.MaxPool2dReturnIndices (1 ms)
2022-11-23T02:30:21.6369849Z [ RUN      ] ModulesTest.MaxPool3d
2022-11-23T02:30:21.6379317Z [       OK ] ModulesTest.MaxPool3d (0 ms)
2022-11-23T02:30:21.6379638Z [ RUN      ] ModulesTest.MaxPool3dReturnIndices
2022-11-23T02:30:21.6391694Z [       OK ] ModulesTest.MaxPool3dReturnIndices (1 ms)
2022-11-23T02:30:21.6392020Z [ RUN      ] ModulesTest.AvgPool1d
2022-11-23T02:30:21.6402077Z [       OK ] ModulesTest.AvgPool1d (1 ms)
2022-11-23T02:30:21.6402385Z [ RUN      ] ModulesTest.AvgPool2dEven
2022-11-23T02:30:21.6410463Z [       OK ] ModulesTest.AvgPool2dEven (0 ms)
2022-11-23T02:30:21.6410816Z [ RUN      ] ModulesTest.AvgPool2dUneven
2022-11-23T02:30:21.6418623Z [       OK ] ModulesTest.AvgPool2dUneven (0 ms)
2022-11-23T02:30:21.6418933Z [ RUN      ] ModulesTest.AvgPool3d
2022-11-23T02:30:21.6428194Z [       OK ] ModulesTest.AvgPool3d (0 ms)
2022-11-23T02:30:21.6428548Z [ RUN      ] ModulesTest.FractionalMaxPool2d
2022-11-23T02:30:21.6462573Z [       OK ] ModulesTest.FractionalMaxPool2d (3 ms)
2022-11-23T02:30:21.6463078Z [ RUN      ] ModulesTest.FractionalMaxPool2dReturnIndices
2022-11-23T02:30:21.6473703Z [       OK ] ModulesTest.FractionalMaxPool2dReturnIndices (1 ms)
2022-11-23T02:30:21.6474070Z [ RUN      ] ModulesTest.FractionalMaxPool3d
2022-11-23T02:30:21.6483580Z [       OK ] ModulesTest.FractionalMaxPool3d (0 ms)
2022-11-23T02:30:21.6484081Z [ RUN      ] ModulesTest.FractionalMaxPool3dReturnIndices
2022-11-23T02:30:21.6496420Z [       OK ] ModulesTest.FractionalMaxPool3dReturnIndices (1 ms)
2022-11-23T02:30:21.6496750Z [ RUN      ] ModulesTest.LPPool1d
2022-11-23T02:30:21.6506184Z [       OK ] ModulesTest.LPPool1d (0 ms)
2022-11-23T02:30:21.6506591Z [ RUN      ] ModulesTest.LPPool2d
2022-11-23T02:30:21.6515151Z [       OK ] ModulesTest.LPPool2d (0 ms)
2022-11-23T02:30:21.6515437Z [ RUN      ] ModulesTest.Identity
2022-11-23T02:30:21.6521943Z [       OK ] ModulesTest.Identity (0 ms)
2022-11-23T02:30:21.6522219Z [ RUN      ] ModulesTest.Flatten
2022-11-23T02:30:21.6537416Z [       OK ] ModulesTest.Flatten (1 ms)
2022-11-23T02:30:21.6537962Z [ RUN      ] ModulesTest.Unflatten
2022-11-23T02:30:21.6542703Z [W TensorImpl.h:1787] Warning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (function operator())
2022-11-23T02:30:21.6544998Z [       OK ] ModulesTest.Unflatten (0 ms)
2022-11-23T02:30:21.6545307Z [ RUN      ] ModulesTest.AdaptiveMaxPool1d
2022-11-23T02:30:21.6556475Z [       OK ] ModulesTest.AdaptiveMaxPool1d (1 ms)
2022-11-23T02:30:21.6556843Z [ RUN      ] ModulesTest.AdaptiveMaxPool1dReturnIndices
2022-11-23T02:30:21.6567470Z [       OK ] ModulesTest.AdaptiveMaxPool1dReturnIndices (1 ms)
2022-11-23T02:30:21.6567852Z [ RUN      ] ModulesTest.AdaptiveMaxPool2dEven
2022-11-23T02:30:21.6579062Z [       OK ] ModulesTest.AdaptiveMaxPool2dEven (1 ms)
2022-11-23T02:30:21.6579507Z [ RUN      ] ModulesTest.AdaptiveMaxPool2dUneven
2022-11-23T02:30:21.6589285Z [       OK ] ModulesTest.AdaptiveMaxPool2dUneven (1 ms)
2022-11-23T02:30:21.6589789Z [ RUN      ] ModulesTest.AdaptiveMaxPool2dReturnIndicesEven
2022-11-23T02:30:21.6606964Z [       OK ] ModulesTest.AdaptiveMaxPool2dReturnIndicesEven (1 ms)
2022-11-23T02:30:21.6607481Z [ RUN      ] ModulesTest.AdaptiveMaxPool2dReturnIndicesUneven
2022-11-23T02:30:21.6623042Z [       OK ] ModulesTest.AdaptiveMaxPool2dReturnIndicesUneven (1 ms)
2022-11-23T02:30:21.6623416Z [ RUN      ] ModulesTest.AdaptiveMaxPool3d
2022-11-23T02:30:21.6635563Z [       OK ] ModulesTest.AdaptiveMaxPool3d (1 ms)
2022-11-23T02:30:21.6635929Z [ RUN      ] ModulesTest.AdaptiveMaxPool3dReturnIndices
2022-11-23T02:30:21.6655106Z [       OK ] ModulesTest.AdaptiveMaxPool3dReturnIndices (1 ms)
2022-11-23T02:30:21.6655472Z [ RUN      ] ModulesTest.AdaptiveAvgPool1d
2022-11-23T02:30:21.6665642Z [       OK ] ModulesTest.AdaptiveAvgPool1d (1 ms)
2022-11-23T02:30:21.6666064Z [ RUN      ] ModulesTest.AdaptiveAvgPool2dEven
2022-11-23T02:30:21.6676884Z [       OK ] ModulesTest.AdaptiveAvgPool2dEven (1 ms)
2022-11-23T02:30:21.6677577Z [ RUN      ] ModulesTest.AdaptiveAvgPool2dUneven
2022-11-23T02:30:21.6687413Z [       OK ] ModulesTest.AdaptiveAvgPool2dUneven (1 ms)
2022-11-23T02:30:21.6687742Z [ RUN      ] ModulesTest.AdaptiveAvgPool3d
2022-11-23T02:30:21.6700502Z [       OK ] ModulesTest.AdaptiveAvgPool3d (1 ms)
2022-11-23T02:30:21.6701048Z [ RUN      ] ModulesTest.MaxUnpool1d
2022-11-23T02:30:21.6717030Z [       OK ] ModulesTest.MaxUnpool1d (1 ms)
2022-11-23T02:30:21.6717764Z [ RUN      ] ModulesTest.MaxPool1d_MaxUnpool1d
2022-11-23T02:30:21.6738219Z [       OK ] ModulesTest.MaxPool1d_MaxUnpool1d (2 ms)
2022-11-23T02:30:21.6738770Z [ RUN      ] ModulesTest.MaxUnpool2d
2022-11-23T02:30:21.6769940Z [       OK ] ModulesTest.MaxUnpool2d (3 ms)
2022-11-23T02:30:21.6770545Z [ RUN      ] ModulesTest.MaxPool2d_MaxUnpool2d
2022-11-23T02:30:21.6788155Z [       OK ] ModulesTest.MaxPool2d_MaxUnpool2d (1 ms)
2022-11-23T02:30:21.6788682Z [ RUN      ] ModulesTest.MaxUnpool3d
2022-11-23T02:30:21.6799906Z [       OK ] ModulesTest.MaxUnpool3d (1 ms)
2022-11-23T02:30:21.6800466Z [ RUN      ] ModulesTest.MaxUnpool3dOutputSize
2022-11-23T02:30:21.6818780Z [       OK ] ModulesTest.MaxUnpool3dOutputSize (1 ms)
2022-11-23T02:30:21.6819396Z [ RUN      ] ModulesTest.MaxPool3d_MaxUnpool3d
2022-11-23T02:30:22.1050803Z [       OK ] ModulesTest.MaxPool3d_MaxUnpool3d (423 ms)
2022-11-23T02:30:22.1051281Z [ RUN      ] ModulesTest.Linear
2022-11-23T02:30:22.1080186Z [       OK ] ModulesTest.Linear (2 ms)
2022-11-23T02:30:22.1080675Z [ RUN      ] ModulesTest.LocalResponseNorm
2022-11-23T02:30:22.1113080Z [       OK ] ModulesTest.LocalResponseNorm (3 ms)
2022-11-23T02:30:22.1113896Z [ RUN      ] ModulesTest.LayerNorm
2022-11-23T02:30:22.1125694Z [       OK ] ModulesTest.LayerNorm (1 ms)
2022-11-23T02:30:22.1126161Z [ RUN      ] ModulesTest.GroupNorm
2022-11-23T02:30:22.1139821Z [       OK ] ModulesTest.GroupNorm (1 ms)
2022-11-23T02:30:22.1140317Z [ RUN      ] ModulesTest.Bilinear
2022-11-23T02:30:22.1168764Z [       OK ] ModulesTest.Bilinear (2 ms)
2022-11-23T02:30:22.1169190Z [ RUN      ] ModulesTest.Fold
2022-11-23T02:30:22.1229107Z [       OK ] ModulesTest.Fold (5 ms)
2022-11-23T02:30:22.1229549Z [ RUN      ] ModulesTest.Unfold
2022-11-23T02:30:22.1410770Z [       OK ] ModulesTest.Unfold (18 ms)
2022-11-23T02:30:22.1411334Z [ RUN      ] ModulesTest.SimpleContainer
2022-11-23T02:30:22.1525706Z [       OK ] ModulesTest.SimpleContainer (11 ms)
2022-11-23T02:30:22.1526241Z [ RUN      ] ModulesTest.EmbeddingBasic
2022-11-23T02:30:22.1532025Z [       OK ] ModulesTest.EmbeddingBasic (0 ms)
2022-11-23T02:30:22.1532528Z [ RUN      ] ModulesTest.EmbeddingList
2022-11-23T02:30:22.1537534Z [       OK ] ModulesTest.EmbeddingList (0 ms)
2022-11-23T02:30:22.1538171Z [ RUN      ] ModulesTest.EmbeddingFromPretrained
2022-11-23T02:30:22.1567903Z [       OK ] ModulesTest.EmbeddingFromPretrained (2 ms)
2022-11-23T02:30:22.1568522Z [ RUN      ] ModulesTest.EmbeddingBagFromPretrained
2022-11-23T02:30:22.1579972Z [       OK ] ModulesTest.EmbeddingBagFromPretrained (1 ms)
2022-11-23T02:30:22.1580695Z [ RUN      ] ModulesTest.AlphaDropout
2022-11-23T02:30:22.1589170Z [       OK ] ModulesTest.AlphaDropout (0 ms)
2022-11-23T02:30:22.1589795Z [ RUN      ] ModulesTest.FeatureAlphaDropout
2022-11-23T02:30:22.1598177Z [       OK ] ModulesTest.FeatureAlphaDropout (0 ms)
2022-11-23T02:30:22.1598746Z [ RUN      ] ModulesTest.Dropout
2022-11-23T02:30:22.1610862Z [       OK ] ModulesTest.Dropout (1 ms)
2022-11-23T02:30:22.1611336Z [ RUN      ] ModulesTest.Dropout2d
2022-11-23T02:30:22.1678775Z [       OK ] ModulesTest.Dropout2d (6 ms)
2022-11-23T02:30:22.1679251Z [ RUN      ] ModulesTest.Dropout3d
2022-11-23T02:30:22.1783742Z [       OK ] ModulesTest.Dropout3d (10 ms)
2022-11-23T02:30:22.1784254Z [ RUN      ] ModulesTest.Parameters
2022-11-23T02:30:22.1788342Z [       OK ] ModulesTest.Parameters (0 ms)
2022-11-23T02:30:22.1788970Z [ RUN      ] ModulesTest.FunctionalCallsSuppliedFunction
2022-11-23T02:30:22.1789785Z [       OK ] ModulesTest.FunctionalCallsSuppliedFunction (0 ms)
2022-11-23T02:30:22.1790405Z [ RUN      ] ModulesTest.FunctionalWithTorchFunction
2022-11-23T02:30:22.1793652Z [       OK ] ModulesTest.FunctionalWithTorchFunction (0 ms)
2022-11-23T02:30:22.1794250Z [ RUN      ] ModulesTest.FunctionalArgumentBinding
2022-11-23T02:30:22.1794832Z [       OK ] ModulesTest.FunctionalArgumentBinding (0 ms)
2022-11-23T02:30:22.1795368Z [ RUN      ] ModulesTest.BatchNorm1dStateful
2022-11-23T02:30:22.1796641Z [       OK ] ModulesTest.BatchNorm1dStateful (0 ms)
2022-11-23T02:30:22.1797376Z [ RUN      ] ModulesTest.BatchNorm1dStateless
2022-11-23T02:30:22.1797948Z [       OK ] ModulesTest.BatchNorm1dStateless (0 ms)
2022-11-23T02:30:22.1798387Z [ RUN      ] ModulesTest.BatchNorm1d
2022-11-23T02:30:22.1815502Z [       OK ] ModulesTest.BatchNorm1d (1 ms)
2022-11-23T02:30:22.1816057Z [ RUN      ] ModulesTest.BatchNorm2dStateful
2022-11-23T02:30:22.1816901Z [       OK ] ModulesTest.BatchNorm2dStateful (0 ms)
2022-11-23T02:30:22.1817392Z [ RUN      ] ModulesTest.BatchNorm2dStateless
2022-11-23T02:30:22.1818006Z [       OK ] ModulesTest.BatchNorm2dStateless (0 ms)
2022-11-23T02:30:22.1818484Z [ RUN      ] ModulesTest.BatchNorm2d
2022-11-23T02:30:22.1838520Z [       OK ] ModulesTest.BatchNorm2d (1 ms)
2022-11-23T02:30:22.1839096Z [ RUN      ] ModulesTest.BatchNorm3dStateful
2022-11-23T02:30:22.1840420Z [       OK ] ModulesTest.BatchNorm3dStateful (0 ms)
2022-11-23T02:30:22.1841186Z [ RUN      ] ModulesTest.BatchNorm3dStateless
2022-11-23T02:30:22.1841728Z [       OK ] ModulesTest.BatchNorm3dStateless (0 ms)
2022-11-23T02:30:22.1842219Z [ RUN      ] ModulesTest.BatchNorm3d
2022-11-23T02:30:22.1870685Z [       OK ] ModulesTest.BatchNorm3d (2 ms)
2022-11-23T02:30:22.1871023Z [ RUN      ] ModulesTest.InstanceNorm1dStateful
2022-11-23T02:30:22.1884649Z [       OK ] ModulesTest.InstanceNorm1dStateful (1 ms)
2022-11-23T02:30:22.1885219Z [ RUN      ] ModulesTest.InstanceNorm1dStateless
2022-11-23T02:30:22.1885770Z [       OK ] ModulesTest.InstanceNorm1dStateless (0 ms)
2022-11-23T02:30:22.1886257Z [ RUN      ] ModulesTest.InstanceNorm1d
2022-11-23T02:30:22.1902359Z [       OK ] ModulesTest.InstanceNorm1d (1 ms)
2022-11-23T02:30:22.1902918Z [ RUN      ] ModulesTest.InstanceNorm2dStateful
2022-11-23T02:30:22.1904165Z [       OK ] ModulesTest.InstanceNorm2dStateful (0 ms)
2022-11-23T02:30:22.1904709Z [ RUN      ] ModulesTest.InstanceNorm2dStateless
2022-11-23T02:30:22.1905405Z [       OK ] ModulesTest.InstanceNorm2dStateless (0 ms)
2022-11-23T02:30:22.1905906Z [ RUN      ] ModulesTest.InstanceNorm2d
2022-11-23T02:30:22.1926021Z [       OK ] ModulesTest.InstanceNorm2d (2 ms)
2022-11-23T02:30:22.1926598Z [ RUN      ] ModulesTest.InstanceNorm3dStateful
2022-11-23T02:30:22.1927760Z [       OK ] ModulesTest.InstanceNorm3dStateful (0 ms)
2022-11-23T02:30:22.1928310Z [ RUN      ] ModulesTest.InstanceNorm3dStateless
2022-11-23T02:30:22.1928842Z [       OK ] ModulesTest.InstanceNorm3dStateless (0 ms)
2022-11-23T02:30:22.1929368Z [ RUN      ] ModulesTest.InstanceNorm3d
2022-11-23T02:30:22.1957923Z [       OK ] ModulesTest.InstanceNorm3d (2 ms)
2022-11-23T02:30:22.1958349Z [ RUN      ] ModulesTest.L1Loss
2022-11-23T02:30:22.1966466Z [       OK ] ModulesTest.L1Loss (0 ms)
2022-11-23T02:30:22.1966934Z [ RUN      ] ModulesTest.MSELoss
2022-11-23T02:30:22.1980286Z [       OK ] ModulesTest.MSELoss (1 ms)
2022-11-23T02:30:22.1980709Z [ RUN      ] ModulesTest.BCELoss
2022-11-23T02:30:22.1987874Z [       OK ] ModulesTest.BCELoss (0 ms)
2022-11-23T02:30:22.1988288Z [ RUN      ] ModulesTest.KLDivLoss
2022-11-23T02:30:22.2003099Z [W loss.h:57] Warning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. (function kl_div)
2022-11-23T02:30:22.2009655Z [       OK ] ModulesTest.KLDivLoss (2 ms)
2022-11-23T02:30:22.2010163Z [ RUN      ] ModulesTest.HingeEmbeddingLoss
2022-11-23T02:30:22.2028563Z [       OK ] ModulesTest.HingeEmbeddingLoss (1 ms)
2022-11-23T02:30:22.2029106Z [ RUN      ] ModulesTest.MultiMarginLoss
2022-11-23T02:30:22.2039621Z [       OK ] ModulesTest.MultiMarginLoss (1 ms)
2022-11-23T02:30:22.2040158Z [ RUN      ] ModulesTest.CosineEmbeddingLoss
2022-11-23T02:30:22.2069942Z [       OK ] ModulesTest.CosineEmbeddingLoss (2 ms)
2022-11-23T02:30:22.2070547Z [ RUN      ] ModulesTest.SmoothL1LossDefaultOptions
2022-11-23T02:30:22.2078732Z [       OK ] ModulesTest.SmoothL1LossDefaultOptions (0 ms)
2022-11-23T02:30:22.2079330Z [ RUN      ] ModulesTest.HuberLossDefaultOptions
2022-11-23T02:30:22.2088269Z [       OK ] ModulesTest.HuberLossDefaultOptions (0 ms)
2022-11-23T02:30:22.2088937Z [ RUN      ] ModulesTest.MultiLabelMarginLossDefaultOptions
2022-11-23T02:30:22.2098627Z [       OK ] ModulesTest.MultiLabelMarginLossDefaultOptions (0 ms)
2022-11-23T02:30:22.2099296Z [ RUN      ] ModulesTest.SmoothL1LossNoReduction
2022-11-23T02:30:22.2107412Z [       OK ] ModulesTest.SmoothL1LossNoReduction (0 ms)
2022-11-23T02:30:22.2108179Z [ RUN      ] ModulesTest.HuberLossNoReduction
2022-11-23T02:30:22.2116171Z [       OK ] ModulesTest.HuberLossNoReduction (0 ms)
2022-11-23T02:30:22.2116584Z [ RUN      ] ModulesTest.MultiLabelMarginLossNoReduction
2022-11-23T02:30:22.2125163Z [       OK ] ModulesTest.MultiLabelMarginLossNoReduction (0 ms)
2022-11-23T02:30:22.2125525Z [ RUN      ] ModulesTest.SmoothL1LossBeta
2022-11-23T02:30:22.2133162Z [       OK ] ModulesTest.SmoothL1LossBeta (0 ms)
2022-11-23T02:30:22.2133478Z [ RUN      ] ModulesTest.HuberLossDelta
2022-11-23T02:30:22.2141512Z [       OK ] ModulesTest.HuberLossDelta (0 ms)
2022-11-23T02:30:22.2141829Z [ RUN      ] ModulesTest.TripletMarginLoss
2022-11-23T02:30:22.2161108Z [       OK ] ModulesTest.TripletMarginLoss (1 ms)
2022-11-23T02:30:22.2161815Z [ RUN      ] ModulesTest.TripletMarginWithDistanceLossDefaultParity
2022-11-23T02:30:22.4260353Z [       OK ] ModulesTest.TripletMarginWithDistanceLossDefaultParity (209 ms)
2022-11-23T02:30:22.4260995Z [ RUN      ] ModulesTest.TripletMarginWithDistanceLossFunctionalParity
2022-11-23T02:30:22.8239426Z [       OK ] ModulesTest.TripletMarginWithDistanceLossFunctionalParity (397 ms)
2022-11-23T02:30:22.8239863Z [ RUN      ] ModulesTest.NLLLoss
2022-11-23T02:30:22.8253541Z [       OK ] ModulesTest.NLLLoss (1 ms)
2022-11-23T02:30:22.8254092Z [ RUN      ] ModulesTest.CrossEntropyLoss
2022-11-23T02:30:22.8300687Z [       OK ] ModulesTest.CrossEntropyLoss (4 ms)
2022-11-23T02:30:22.8301259Z [ RUN      ] ModulesTest.CosineSimilarity
2022-11-23T02:30:22.8323413Z [       OK ] ModulesTest.CosineSimilarity (2 ms)
2022-11-23T02:30:22.8324020Z [ RUN      ] ModulesTest.SoftMarginLossDefaultOptions
2022-11-23T02:30:22.8335876Z [       OK ] ModulesTest.SoftMarginLossDefaultOptions (1 ms)
2022-11-23T02:30:22.8336542Z [ RUN      ] ModulesTest.MultiLabelSoftMarginLossDefaultOptions
2022-11-23T02:30:22.8355481Z [       OK ] ModulesTest.MultiLabelSoftMarginLossDefaultOptions (1 ms)
2022-11-23T02:30:22.8356080Z [ RUN      ] ModulesTest.SoftMarginLossNoReduction
2022-11-23T02:30:22.8367193Z [       OK ] ModulesTest.SoftMarginLossNoReduction (1 ms)
2022-11-23T02:30:22.8367905Z [ RUN      ] ModulesTest.MultiLabelSoftMarginLossWeightedNoReduction
2022-11-23T02:30:22.8385243Z [       OK ] ModulesTest.MultiLabelSoftMarginLossWeightedNoReduction (1 ms)
2022-11-23T02:30:22.8385811Z [ RUN      ] ModulesTest.PairwiseDistance
2022-11-23T02:30:22.8396572Z [       OK ] ModulesTest.PairwiseDistance (1 ms)
2022-11-23T02:30:22.8397283Z [ RUN      ] ModulesTest.ELU
2022-11-23T02:30:22.8505980Z [       OK ] ModulesTest.ELU (10 ms)
2022-11-23T02:30:22.8506493Z [ RUN      ] ModulesTest.SELU
2022-11-23T02:30:22.8525917Z [       OK ] ModulesTest.SELU (2 ms)
2022-11-23T02:30:22.8526185Z [ RUN      ] ModulesTest.Hardshrink
2022-11-23T02:30:22.8582312Z [       OK ] ModulesTest.Hardshrink (5 ms)
2022-11-23T02:30:22.8582601Z [ RUN      ] ModulesTest.Hardtanh
2022-11-23T02:30:22.8812622Z [       OK ] ModulesTest.Hardtanh (22 ms)
2022-11-23T02:30:22.8812934Z [ RUN      ] ModulesTest.HardtanhMinValGEMaxVal
2022-11-23T02:30:22.8991251Z [       OK ] ModulesTest.HardtanhMinValGEMaxVal (17 ms)
2022-11-23T02:30:22.8991576Z [ RUN      ] ModulesTest.LeakyReLU
2022-11-23T02:30:22.9113606Z [       OK ] ModulesTest.LeakyReLU (12 ms)
2022-11-23T02:30:22.9113886Z [ RUN      ] ModulesTest.LogSigmoid
2022-11-23T02:30:22.9124396Z [       OK ] ModulesTest.LogSigmoid (1 ms)
2022-11-23T02:30:22.9124689Z [ RUN      ] ModulesTest.Softmax
2022-11-23T02:30:22.9135267Z [       OK ] ModulesTest.Softmax (1 ms)
2022-11-23T02:30:22.9135697Z [ RUN      ] ModulesTest.Softmin
2022-11-23T02:30:22.9146354Z [       OK ] ModulesTest.Softmin (1 ms)
2022-11-23T02:30:22.9146628Z [ RUN      ] ModulesTest.LogSoftmax
2022-11-23T02:30:22.9158015Z [       OK ] ModulesTest.LogSoftmax (1 ms)
2022-11-23T02:30:22.9158367Z [ RUN      ] ModulesTest.AdaptiveLogSoftmaxWithLoss
2022-11-23T02:30:22.9360151Z [       OK ] ModulesTest.AdaptiveLogSoftmaxWithLoss (20 ms)
2022-11-23T02:30:22.9360479Z [ RUN      ] ModulesTest.Softmax2d
2022-11-23T02:30:22.9463792Z [       OK ] ModulesTest.Softmax2d (10 ms)
2022-11-23T02:30:22.9464303Z [ RUN      ] ModulesTest.PReLU
2022-11-23T02:30:22.9509395Z [       OK ] ModulesTest.PReLU (4 ms)
2022-11-23T02:30:22.9509908Z [ RUN      ] ModulesTest.ReLU
2022-11-23T02:30:22.9529344Z [       OK ] ModulesTest.ReLU (1 ms)
2022-11-23T02:30:22.9529833Z [ RUN      ] ModulesTest.ReLU6
2022-11-23T02:30:22.9550608Z [       OK ] ModulesTest.ReLU6 (2 ms)
2022-11-23T02:30:22.9550875Z [ RUN      ] ModulesTest.RReLU
2022-11-23T02:30:22.9907703Z [       OK ] ModulesTest.RReLU (35 ms)
2022-11-23T02:30:22.9907957Z [ RUN      ] ModulesTest.CELU
2022-11-23T02:30:22.9986748Z [       OK ] ModulesTest.CELU (7 ms)
2022-11-23T02:30:22.9987035Z [ RUN      ] ModulesTest.GLU
2022-11-23T02:30:23.0014737Z [       OK ] ModulesTest.GLU (2 ms)
2022-11-23T02:30:23.0015009Z [ RUN      ] ModulesTest.GELU
2022-11-23T02:30:23.0021798Z [       OK ] ModulesTest.GELU (0 ms)
2022-11-23T02:30:23.0022082Z [ RUN      ] ModulesTest.TanhGELU
2022-11-23T02:30:23.0029376Z [       OK ] ModulesTest.TanhGELU (0 ms)
2022-11-23T02:30:23.0029640Z [ RUN      ] ModulesTest.Mish
2022-11-23T02:30:23.0035887Z [       OK ] ModulesTest.Mish (0 ms)
2022-11-23T02:30:23.0036171Z [ RUN      ] ModulesTest.Sigmoid
2022-11-23T02:30:23.0042627Z [       OK ] ModulesTest.Sigmoid (0 ms)
2022-11-23T02:30:23.0042918Z [ RUN      ] ModulesTest.PixelShuffle
2022-11-23T02:30:23.0052855Z [       OK ] ModulesTest.PixelShuffle (0 ms)
2022-11-23T02:30:23.0053408Z [ RUN      ] ModulesTest.PixelUnshuffle
2022-11-23T02:30:23.0063074Z [       OK ] ModulesTest.PixelUnshuffle (0 ms)
2022-11-23T02:30:23.0063376Z [ RUN      ] ModulesTest.Softplus
2022-11-23T02:30:23.0124843Z [       OK ] ModulesTest.Softplus (6 ms)
2022-11-23T02:30:23.0125154Z [ RUN      ] ModulesTest.Softshrink
2022-11-23T02:30:23.0169603Z [       OK ] ModulesTest.Softshrink (4 ms)
2022-11-23T02:30:23.0169895Z [ RUN      ] ModulesTest.Softsign
2022-11-23T02:30:23.0175217Z [       OK ] ModulesTest.Softsign (0 ms)
2022-11-23T02:30:23.0175476Z [ RUN      ] ModulesTest.Tanh
2022-11-23T02:30:23.0181935Z [       OK ] ModulesTest.Tanh (0 ms)
2022-11-23T02:30:23.0182220Z [ RUN      ] ModulesTest.Tanhshrink
2022-11-23T02:30:23.0187427Z [       OK ] ModulesTest.Tanhshrink (0 ms)
2022-11-23T02:30:23.0187700Z [ RUN      ] ModulesTest.Threshold
2022-11-23T02:30:23.0300532Z [       OK ] ModulesTest.Threshold (11 ms)
2022-11-23T02:30:23.0300836Z [ RUN      ] ModulesTest.Upsampling1D
2022-11-23T02:30:23.0332405Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T02:30:23.0340929Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T02:30:23.0354283Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T02:30:23.0361257Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T02:30:23.0379872Z [       OK ] ModulesTest.Upsampling1D (7 ms)
2022-11-23T02:30:23.0380167Z [ RUN      ] ModulesTest.Upsampling2D
2022-11-23T02:30:23.0389418Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T02:30:23.0404918Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T02:30:23.0417684Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T02:30:23.0423842Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T02:30:23.0436687Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T02:30:23.0445938Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T02:30:23.0461964Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T02:30:23.0469278Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T02:30:23.0484797Z [       OK ] ModulesTest.Upsampling2D (10 ms)
2022-11-23T02:30:23.0485105Z [ RUN      ] ModulesTest.Upsampling3D
2022-11-23T02:30:23.0494050Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T02:30:23.0501703Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T02:30:23.0515039Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T02:30:23.0521591Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details.  (function _interp_output_size)
2022-11-23T02:30:23.0534221Z [       OK ] ModulesTest.Upsampling3D (4 ms)
2022-11-23T02:30:23.0534511Z [ RUN      ] ModulesTest.CTCLoss
2022-11-23T02:30:23.0558084Z [       OK ] ModulesTest.CTCLoss (2 ms)
2022-11-23T02:30:23.0558382Z [ RUN      ] ModulesTest.PoissonNLLLoss
2022-11-23T02:30:23.0573248Z [       OK ] ModulesTest.PoissonNLLLoss (1 ms)
2022-11-23T02:30:23.0573613Z [ RUN      ] ModulesTest.MarginRankingLoss
2022-11-23T02:30:23.0595012Z [       OK ] ModulesTest.MarginRankingLoss (2 ms)
2022-11-23T02:30:23.0595598Z [ RUN      ] ModulesTest.BCEWithLogitsLoss
2022-11-23T02:30:23.0828490Z [       OK ] ModulesTest.BCEWithLogitsLoss (23 ms)
2022-11-23T02:30:23.0828892Z [ RUN      ] ModulesTest.MultiheadAttention
2022-11-23T02:31:41.9949710Z [       OK ] ModulesTest.MultiheadAttention (78912 ms)
2022-11-23T02:31:41.9950330Z [ RUN      ] ModulesTest.PrettyPrintIdentity
2022-11-23T02:31:41.9950836Z [       OK ] ModulesTest.PrettyPrintIdentity (0 ms)
2022-11-23T02:31:41.9951330Z [ RUN      ] ModulesTest.PrettyPrintFlatten
2022-11-23T02:31:41.9951685Z [       OK ] ModulesTest.PrettyPrintFlatten (0 ms)
2022-11-23T02:31:41.9952286Z [ RUN      ] ModulesTest.PrettyPrintUnflatten
2022-11-23T02:31:41.9952928Z [       OK ] ModulesTest.PrettyPrintUnflatten (0 ms)
2022-11-23T02:31:41.9953608Z [ RUN      ] ModulesTest.ReflectionPad1d
2022-11-23T02:31:41.9968453Z [       OK ] ModulesTest.ReflectionPad1d (1 ms)
2022-11-23T02:31:41.9968764Z [ RUN      ] ModulesTest.ReflectionPad2d
2022-11-23T02:31:41.9988210Z [       OK ] ModulesTest.ReflectionPad2d (1 ms)
2022-11-23T02:31:41.9988529Z [ RUN      ] ModulesTest.ReflectionPad3d
2022-11-23T02:31:42.0015501Z [       OK ] ModulesTest.ReflectionPad3d (2 ms)
2022-11-23T02:31:42.0015822Z [ RUN      ] ModulesTest.ReplicationPad1d
2022-11-23T02:31:42.0029424Z [       OK ] ModulesTest.ReplicationPad1d (1 ms)
2022-11-23T02:31:42.0029764Z [ RUN      ] ModulesTest.ReplicationPad2d
2022-11-23T02:31:42.0047475Z [       OK ] ModulesTest.ReplicationPad2d (1 ms)
2022-11-23T02:31:42.0047795Z [ RUN      ] ModulesTest.ReplicationPad3d
2022-11-23T02:31:42.0093105Z [       OK ] ModulesTest.ReplicationPad3d (4 ms)
2022-11-23T02:31:42.0093405Z [ RUN      ] ModulesTest.ZeroPad2d
2022-11-23T02:31:42.0111804Z [       OK ] ModulesTest.ZeroPad2d (1 ms)
2022-11-23T02:31:42.0112173Z [ RUN      ] ModulesTest.ConstantPad1d
2022-11-23T02:31:42.0124703Z [       OK ] ModulesTest.ConstantPad1d (1 ms)
2022-11-23T02:31:42.0125070Z [ RUN      ] ModulesTest.ConstantPad2d
2022-11-23T02:31:42.0141353Z [       OK ] ModulesTest.ConstantPad2d (1 ms)
2022-11-23T02:31:42.0141724Z [ RUN      ] ModulesTest.ConstantPad3d
2022-11-23T02:31:42.0174655Z [       OK ] ModulesTest.ConstantPad3d (3 ms)
2022-11-23T02:31:42.0175210Z [ RUN      ] ModulesTest.CrossMapLRN2d
2022-11-23T02:31:42.0225099Z [       OK ] ModulesTest.CrossMapLRN2d (4 ms)
2022-11-23T02:31:42.0225394Z [ RUN      ] ModulesTest.RNNCell
2022-11-23T02:31:42.0269081Z [       OK ] ModulesTest.RNNCell (4 ms)
2022-11-23T02:31:42.0269591Z [ RUN      ] ModulesTest.LSTMCell
2022-11-23T02:31:42.0301835Z [       OK ] ModulesTest.LSTMCell (3 ms)
2022-11-23T02:31:42.0302323Z [ RUN      ] ModulesTest.GRUCell
2022-11-23T02:31:42.0327939Z [       OK ] ModulesTest.GRUCell (2 ms)
2022-11-23T02:31:42.0328507Z [ RUN      ] ModulesTest.PrettyPrintLinear
2022-11-23T02:31:42.0329121Z [       OK ] ModulesTest.PrettyPrintLinear (0 ms)
2022-11-23T02:31:42.0329566Z [ RUN      ] ModulesTest.PrettyPrintBilinear
2022-11-23T02:31:42.0330512Z [       OK ] ModulesTest.PrettyPrintBilinear (0 ms)
2022-11-23T02:31:42.0331075Z [ RUN      ] ModulesTest.PrettyPrintConv
2022-11-23T02:31:42.0341641Z [       OK ] ModulesTest.PrettyPrintConv (1 ms)
2022-11-23T02:31:42.0342249Z [ RUN      ] ModulesTest.PrettyPrintConvTranspose
2022-11-23T02:31:42.0352830Z [       OK ] ModulesTest.PrettyPrintConvTranspose (1 ms)
2022-11-23T02:31:42.0353380Z [ RUN      ] ModulesTest.PrettyPrintUpsample
2022-11-23T02:31:42.0353921Z [       OK ] ModulesTest.PrettyPrintUpsample (0 ms)
2022-11-23T02:31:42.0354287Z [ RUN      ] ModulesTest.PrettyPrintFold
2022-11-23T02:31:42.0354752Z [       OK ] ModulesTest.PrettyPrintFold (0 ms)
2022-11-23T02:31:42.0355239Z [ RUN      ] ModulesTest.PrettyPrintUnfold
2022-11-23T02:31:42.0355610Z [       OK ] ModulesTest.PrettyPrintUnfold (0 ms)
2022-11-23T02:31:42.0355948Z [ RUN      ] ModulesTest.PrettyPrintMaxPool
2022-11-23T02:31:42.0356559Z [       OK ] ModulesTest.PrettyPrintMaxPool (0 ms)
2022-11-23T02:31:42.0357053Z [ RUN      ] ModulesTest.PrettyPrintAvgPool
2022-11-23T02:31:42.0357680Z [       OK ] ModulesTest.PrettyPrintAvgPool (0 ms)
2022-11-23T02:31:42.0358049Z [ RUN      ] ModulesTest.PrettyPrinFractionalMaxPool
2022-11-23T02:31:42.0358439Z [       OK ] ModulesTest.PrettyPrinFractionalMaxPool (0 ms)
2022-11-23T02:31:42.0358829Z [ RUN      ] ModulesTest.PrettyPrintLPPool
2022-11-23T02:31:42.0359811Z [       OK ] ModulesTest.PrettyPrintLPPool (0 ms)
2022-11-23T02:31:42.0360151Z [ RUN      ] ModulesTest.PrettyPrintAdaptiveMaxPool
2022-11-23T02:31:42.0361836Z [       OK ] ModulesTest.PrettyPrintAdaptiveMaxPool (0 ms)
2022-11-23T02:31:42.0362464Z [ RUN      ] ModulesTest.PrettyPrintAdaptiveAvgPool
2022-11-23T02:31:42.0363284Z [       OK ] ModulesTest.PrettyPrintAdaptiveAvgPool (0 ms)
2022-11-23T02:31:42.0363758Z [ RUN      ] ModulesTest.PrettyPrintMaxUnpool
2022-11-23T02:31:42.0364496Z [       OK ] ModulesTest.PrettyPrintMaxUnpool (0 ms)
2022-11-23T02:31:42.0364976Z [ RUN      ] ModulesTest.PrettyPrintDropout
2022-11-23T02:31:42.0365465Z [       OK ] ModulesTest.PrettyPrintDropout (0 ms)
2022-11-23T02:31:42.0365942Z [ RUN      ] ModulesTest.PrettyPrintDropout2d
2022-11-23T02:31:42.0366791Z [       OK ] ModulesTest.PrettyPrintDropout2d (0 ms)
2022-11-23T02:31:42.0367420Z [ RUN      ] ModulesTest.PrettyPrintDropout3d
2022-11-23T02:31:42.0367959Z [       OK ] ModulesTest.PrettyPrintDropout3d (0 ms)
2022-11-23T02:31:42.0368465Z [ RUN      ] ModulesTest.PrettyPrintFunctional
2022-11-23T02:31:42.0369039Z [       OK ] ModulesTest.PrettyPrintFunctional (0 ms)
2022-11-23T02:31:42.0369624Z [ RUN      ] ModulesTest.PrettyPrintBatchNorm1d
2022-11-23T02:31:42.0370193Z [       OK ] ModulesTest.PrettyPrintBatchNorm1d (0 ms)
2022-11-23T02:31:42.0370750Z [ RUN      ] ModulesTest.PrettyPrintBatchNorm2d
2022-11-23T02:31:42.0371866Z [       OK ] ModulesTest.PrettyPrintBatchNorm2d (0 ms)
2022-11-23T02:31:42.0372426Z [ RUN      ] ModulesTest.PrettyPrintBatchNorm3d
2022-11-23T02:31:42.0373481Z [       OK ] ModulesTest.PrettyPrintBatchNorm3d (0 ms)
2022-11-23T02:31:42.0374061Z [ RUN      ] ModulesTest.PrettyPrintInstanceNorm1d
2022-11-23T02:31:42.0375321Z [       OK ] ModulesTest.PrettyPrintInstanceNorm1d (0 ms)
2022-11-23T02:31:42.0375910Z [ RUN      ] ModulesTest.PrettyPrintInstanceNorm2d
2022-11-23T02:31:42.0377086Z [       OK ] ModulesTest.PrettyPrintInstanceNorm2d (0 ms)
2022-11-23T02:31:42.0377757Z [ RUN      ] ModulesTest.PrettyPrintInstanceNorm3d
2022-11-23T02:31:42.0379056Z [       OK ] ModulesTest.PrettyPrintInstanceNorm3d (0 ms)
2022-11-23T02:31:42.0379641Z [ RUN      ] ModulesTest.PrettyPrintLayerNorm
2022-11-23T02:31:42.0380736Z [       OK ] ModulesTest.PrettyPrintLayerNorm (0 ms)
2022-11-23T02:31:42.0381329Z [ RUN      ] ModulesTest.PrettyPrintGroupNorm
2022-11-23T02:31:42.0382168Z [       OK ] ModulesTest.PrettyPrintGroupNorm (0 ms)
2022-11-23T02:31:42.0382700Z [ RUN      ] ModulesTest.PrettyPrintLocalResponseNorm
2022-11-23T02:31:42.0383315Z [       OK ] ModulesTest.PrettyPrintLocalResponseNorm (0 ms)
2022-11-23T02:31:42.0383872Z [ RUN      ] ModulesTest.PrettyPrintEmbedding
2022-11-23T02:31:42.0386120Z [       OK ] ModulesTest.PrettyPrintEmbedding (0 ms)
2022-11-23T02:31:42.0386695Z [ RUN      ] ModulesTest.PrettyPrintEmbeddingBag
2022-11-23T02:31:42.0389037Z [       OK ] ModulesTest.PrettyPrintEmbeddingBag (0 ms)
2022-11-23T02:31:42.0389634Z [ RUN      ] ModulesTest.PrettyPrintL1Loss
2022-11-23T02:31:42.0390170Z [       OK ] ModulesTest.PrettyPrintL1Loss (0 ms)
2022-11-23T02:31:42.0390753Z [ RUN      ] ModulesTest.PrettyPrintKLDivLoss
2022-11-23T02:31:42.0391357Z [       OK ] ModulesTest.PrettyPrintKLDivLoss (0 ms)
2022-11-23T02:31:42.0391942Z [ RUN      ] ModulesTest.PrettyPrintMSELoss
2022-11-23T02:31:42.0392507Z [       OK ] ModulesTest.PrettyPrintMSELoss (0 ms)
2022-11-23T02:31:42.0393051Z [ RUN      ] ModulesTest.PrettyPrintBCELoss
2022-11-23T02:31:42.0393605Z [       OK ] ModulesTest.PrettyPrintBCELoss (0 ms)
2022-11-23T02:31:42.0394368Z [ RUN      ] ModulesTest.PrettyPrintHingeEmbeddingLoss
2022-11-23T02:31:42.0395076Z [       OK ] ModulesTest.PrettyPrintHingeEmbeddingLoss (0 ms)
2022-11-23T02:31:42.0395762Z [ RUN      ] ModulesTest.PrettyPrintCosineEmbeddingLoss
2022-11-23T02:31:42.0396563Z [       OK ] ModulesTest.PrettyPrintCosineEmbeddingLoss (0 ms)
2022-11-23T02:31:42.0397429Z [ RUN      ] ModulesTest.PrettyPrintTripletMarginLoss
2022-11-23T02:31:42.0398105Z [       OK ] ModulesTest.PrettyPrintTripletMarginLoss (0 ms)
2022-11-23T02:31:42.0398826Z [ RUN      ] ModulesTest.PrettyPrintTripletMarginWithDistanceLoss
2022-11-23T02:31:42.0399578Z [       OK ] ModulesTest.PrettyPrintTripletMarginWithDistanceLoss (0 ms)
2022-11-23T02:31:42.0399972Z [ RUN      ] ModulesTest.PrettyPrintNLLLoss
2022-11-23T02:31:42.0400348Z [       OK ] ModulesTest.PrettyPrintNLLLoss (0 ms)
2022-11-23T02:31:42.0400923Z [ RUN      ] ModulesTest.PrettyPrinCrossEntropyLoss
2022-11-23T02:31:42.0401509Z [       OK ] ModulesTest.PrettyPrinCrossEntropyLoss (0 ms)
2022-11-23T02:31:42.0401898Z [ RUN      ] ModulesTest.PrettyPrintMultiLabelMarginLoss
2022-11-23T02:31:42.0402303Z [       OK ] ModulesTest.PrettyPrintMultiLabelMarginLoss (0 ms)
2022-11-23T02:31:42.0402701Z [ RUN      ] ModulesTest.PrettyPrintMultiLabelSoftMarginLoss
2022-11-23T02:31:42.0403125Z [       OK ] ModulesTest.PrettyPrintMultiLabelSoftMarginLoss (0 ms)
2022-11-23T02:31:42.0403514Z [ RUN      ] ModulesTest.PrettyPrintSoftMarginLoss
2022-11-23T02:31:42.0403878Z [       OK ] ModulesTest.PrettyPrintSoftMarginLoss (0 ms)
2022-11-23T02:31:42.0404232Z [ RUN      ] ModulesTest.PrettyPrintCosineSimilarity
2022-11-23T02:31:42.0404613Z [       OK ] ModulesTest.PrettyPrintCosineSimilarity (0 ms)
2022-11-23T02:31:42.0404984Z [ RUN      ] ModulesTest.PrettyPrintPairwiseDistance
2022-11-23T02:31:42.0405352Z [       OK ] ModulesTest.PrettyPrintPairwiseDistance (0 ms)
2022-11-23T02:31:42.0405719Z [ RUN      ] ModulesTest.PrettyPrintReflectionPad
2022-11-23T02:31:42.0412592Z [       OK ] ModulesTest.PrettyPrintReflectionPad (1 ms)
2022-11-23T02:31:42.0413232Z [ RUN      ] ModulesTest.PrettyPrintReplicationPad
2022-11-23T02:31:42.0413838Z [       OK ] ModulesTest.PrettyPrintReplicationPad (0 ms)
2022-11-23T02:31:42.0414460Z [ RUN      ] ModulesTest.PrettyPrintZeroPad2d
2022-11-23T02:31:42.0414980Z [       OK ] ModulesTest.PrettyPrintZeroPad2d (0 ms)
2022-11-23T02:31:42.0415491Z [ RUN      ] ModulesTest.PrettyPrintConstantPad
2022-11-23T02:31:42.0416061Z [       OK ] ModulesTest.PrettyPrintConstantPad (0 ms)
2022-11-23T02:31:42.0416636Z [ RUN      ] ModulesTest.PrettyPrintNestedModel
2022-11-23T02:31:42.0419596Z [       OK ] ModulesTest.PrettyPrintNestedModel (0 ms)
2022-11-23T02:31:42.0420185Z [ RUN      ] ModulesTest.PrettyPrintELU
2022-11-23T02:31:42.0420717Z [       OK ] ModulesTest.PrettyPrintELU (0 ms)
2022-11-23T02:31:42.0421240Z [ RUN      ] ModulesTest.PrettyPrintSELU
2022-11-23T02:31:42.0421773Z [       OK ] ModulesTest.PrettyPrintSELU (0 ms)
2022-11-23T02:31:42.0422299Z [ RUN      ] ModulesTest.PrettyPrintGLU
2022-11-23T02:31:42.0422849Z [       OK ] ModulesTest.PrettyPrintGLU (0 ms)
2022-11-23T02:31:42.0423401Z [ RUN      ] ModulesTest.PrettyPrintHardshrink
2022-11-23T02:31:42.0424023Z [       OK ] ModulesTest.PrettyPrintHardshrink (0 ms)
2022-11-23T02:31:42.0424616Z [ RUN      ] ModulesTest.PrettyPrintHardtanh
2022-11-23T02:31:42.0425185Z [       OK ] ModulesTest.PrettyPrintHardtanh (0 ms)
2022-11-23T02:31:42.0425741Z [ RUN      ] ModulesTest.PrettyPrintLeakyReLU
2022-11-23T02:31:42.0426345Z [       OK ] ModulesTest.PrettyPrintLeakyReLU (0 ms)
2022-11-23T02:31:42.0427128Z [ RUN      ] ModulesTest.PrettyPrintLogSigmoid
2022-11-23T02:31:42.0427629Z [       OK ] ModulesTest.PrettyPrintLogSigmoid (0 ms)
2022-11-23T02:31:42.0428151Z [ RUN      ] ModulesTest.PrettyPrintSoftmax
2022-11-23T02:31:42.0428751Z [       OK ] ModulesTest.PrettyPrintSoftmax (0 ms)
2022-11-23T02:31:42.0429440Z [ RUN      ] ModulesTest.PrettyPrintSoftmin
2022-11-23T02:31:42.0430033Z [       OK ] ModulesTest.PrettyPrintSoftmin (0 ms)
2022-11-23T02:31:42.0430624Z [ RUN      ] ModulesTest.PrettyPrintLogSoftmax
2022-11-23T02:31:42.0431203Z [       OK ] ModulesTest.PrettyPrintLogSoftmax (0 ms)
2022-11-23T02:31:42.0431798Z [ RUN      ] ModulesTest.PrettyPrintSoftmax2d
2022-11-23T02:31:42.0432382Z [       OK ] ModulesTest.PrettyPrintSoftmax2d (0 ms)
2022-11-23T02:31:42.0432926Z [ RUN      ] ModulesTest.PrettyPrintPReLU
2022-11-23T02:31:42.0433496Z [       OK ] ModulesTest.PrettyPrintPReLU (0 ms)
2022-11-23T02:31:42.0434043Z [ RUN      ] ModulesTest.PrettyPrintReLU
2022-11-23T02:31:42.0434603Z [       OK ] ModulesTest.PrettyPrintReLU (0 ms)
2022-11-23T02:31:42.0435126Z [ RUN      ] ModulesTest.PrettyPrintReLU6
2022-11-23T02:31:42.0435690Z [       OK ] ModulesTest.PrettyPrintReLU6 (0 ms)
2022-11-23T02:31:42.0436209Z [ RUN      ] ModulesTest.PrettyPrintRReLU
2022-11-23T02:31:42.0436753Z [       OK ] ModulesTest.PrettyPrintRReLU (0 ms)
2022-11-23T02:31:42.0437456Z [ RUN      ] ModulesTest.PrettyPrintCELU
2022-11-23T02:31:42.0438033Z [       OK ] ModulesTest.PrettyPrintCELU (0 ms)
2022-11-23T02:31:42.0438602Z [ RUN      ] ModulesTest.PrettyPrintSigmoid
2022-11-23T02:31:42.0439143Z [       OK ] ModulesTest.PrettyPrintSigmoid (0 ms)
2022-11-23T02:31:42.0439719Z [ RUN      ] ModulesTest.PrettyPrintPixelShuffle
2022-11-23T02:31:42.0440306Z [       OK ] ModulesTest.PrettyPrintPixelShuffle (0 ms)
2022-11-23T02:31:42.0440926Z [ RUN      ] ModulesTest.PrettyPrintPixelUnshuffle
2022-11-23T02:31:42.0441560Z [       OK ] ModulesTest.PrettyPrintPixelUnshuffle (0 ms)
2022-11-23T02:31:42.0442158Z [ RUN      ] ModulesTest.PrettyPrintSoftplus
2022-11-23T02:31:42.0442762Z [       OK ] ModulesTest.PrettyPrintSoftplus (0 ms)
2022-11-23T02:31:42.0443308Z [ RUN      ] ModulesTest.PrettyPrintSoftshrink
2022-11-23T02:31:42.0443915Z [       OK ] ModulesTest.PrettyPrintSoftshrink (0 ms)
2022-11-23T02:31:42.0444479Z [ RUN      ] ModulesTest.PrettyPrintSoftsign
2022-11-23T02:31:42.0444994Z [       OK ] ModulesTest.PrettyPrintSoftsign (0 ms)
2022-11-23T02:31:42.0445469Z [ RUN      ] ModulesTest.PrettyPrintTanh
2022-11-23T02:31:42.0446007Z [       OK ] ModulesTest.PrettyPrintTanh (0 ms)
2022-11-23T02:31:42.0446556Z [ RUN      ] ModulesTest.PrettyPrintTanhshrink
2022-11-23T02:31:42.0447083Z [       OK ] ModulesTest.PrettyPrintTanhshrink (0 ms)
2022-11-23T02:31:42.0447645Z [ RUN      ] ModulesTest.PrettyPrintThreshold
2022-11-23T02:31:42.0448225Z [       OK ] ModulesTest.PrettyPrintThreshold (0 ms)
2022-11-23T02:31:42.0448783Z [ RUN      ] ModulesTest.PrettyPrintCTCLoss
2022-11-23T02:31:42.0449283Z [       OK ] ModulesTest.PrettyPrintCTCLoss (0 ms)
2022-11-23T02:31:42.0449833Z [ RUN      ] ModulesTest.PrettyPrintPoissonNLLLoss
2022-11-23T02:31:42.0450509Z [       OK ] ModulesTest.PrettyPrintPoissonNLLLoss (0 ms)
2022-11-23T02:31:42.0451111Z [ RUN      ] ModulesTest.PrettyPrintMarginRankingLoss
2022-11-23T02:31:42.0451748Z [       OK ] ModulesTest.PrettyPrintMarginRankingLoss (0 ms)
2022-11-23T02:31:42.0452336Z [ RUN      ] ModulesTest.PrettyPrintCrossMapLRN2d
2022-11-23T02:31:42.0452921Z [       OK ] ModulesTest.PrettyPrintCrossMapLRN2d (0 ms)
2022-11-23T02:31:42.0453482Z [ RUN      ] ModulesTest.PrettyPrintAlphaDropout
2022-11-23T02:31:42.0454208Z [       OK ] ModulesTest.PrettyPrintAlphaDropout (0 ms)
2022-11-23T02:31:42.0454826Z [ RUN      ] ModulesTest.PrettyPrintFeatureAlphaDropout
2022-11-23T02:31:42.0455484Z [       OK ] ModulesTest.PrettyPrintFeatureAlphaDropout (0 ms)
2022-11-23T02:31:42.0456238Z [ RUN      ] ModulesTest.PrettyPrintBCEWithLogitsLoss
2022-11-23T02:31:42.0456894Z [       OK ] ModulesTest.PrettyPrintBCEWithLogitsLoss (0 ms)
2022-11-23T02:31:42.0457481Z [ RUN      ] ModulesTest.PrettyPrintMultiheadAttention
2022-11-23T02:31:42.0458244Z [       OK ] ModulesTest.PrettyPrintMultiheadAttention (0 ms)
2022-11-23T02:31:42.0458851Z [ RUN      ] ModulesTest.PrettyPrintRNNCell
2022-11-23T02:31:42.0459360Z [       OK ] ModulesTest.PrettyPrintRNNCell (0 ms)
2022-11-23T02:31:42.0459887Z [ RUN      ] ModulesTest.PrettyPrintLSTMCell
2022-11-23T02:31:42.0462450Z [       OK ] ModulesTest.PrettyPrintLSTMCell (0 ms)
2022-11-23T02:31:42.0463020Z [ RUN      ] ModulesTest.PrettyPrintGRUCell
2022-11-23T02:31:42.0466308Z [       OK ] ModulesTest.PrettyPrintGRUCell (0 ms)
2022-11-23T02:31:42.0466945Z [ RUN      ] ModulesTest.PrettyPrintAdaptiveLogSoftmaxWithLoss
2022-11-23T02:31:42.0471615Z [       OK ] ModulesTest.PrettyPrintAdaptiveLogSoftmaxWithLoss (0 ms)
2022-11-23T02:31:42.0472222Z [----------] 256 tests from ModulesTest (80480 ms total)
2022-11-23T02:31:42.0472437Z 
2022-11-23T02:31:42.0472636Z [----------] 1 test from NestedTest
2022-11-23T02:31:42.0473036Z [ RUN      ] NestedTest.Nested
2022-11-23T02:31:42.0474407Z [W NestedTensorImpl.cpp:179] Warning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (function operator())
2022-11-23T02:31:42.0479177Z [       OK ] NestedTest.Nested (0 ms)
2022-11-23T02:31:42.0479654Z [----------] 1 test from NestedTest (0 ms total)
2022-11-23T02:31:42.0479889Z 
2022-11-23T02:31:42.0480136Z [----------] 10 tests from ParameterDictTest
2022-11-23T02:31:42.0480678Z [ RUN      ] ParameterDictTest.ConstructFromTensor
2022-11-23T02:31:42.0482591Z [       OK ] ParameterDictTest.ConstructFromTensor (0 ms)
2022-11-23T02:31:42.0483229Z [ RUN      ] ParameterDictTest.ConstructFromOrderedDict
2022-11-23T02:31:42.0486348Z [       OK ] ParameterDictTest.ConstructFromOrderedDict (0 ms)
2022-11-23T02:31:42.0486962Z [ RUN      ] ParameterDictTest.InsertAndContains
2022-11-23T02:31:42.0487562Z [       OK ] ParameterDictTest.InsertAndContains (0 ms)
2022-11-23T02:31:42.0488081Z [ RUN      ] ParameterDictTest.InsertAndClear
2022-11-23T02:31:42.0488583Z [       OK ] ParameterDictTest.InsertAndClear (0 ms)
2022-11-23T02:31:42.0488918Z [ RUN      ] ParameterDictTest.InsertAndPop
2022-11-23T02:31:42.0721380Z [       OK ] ParameterDictTest.InsertAndPop (23 ms)
2022-11-23T02:31:42.0722018Z [ RUN      ] ParameterDictTest.SimpleUpdate
2022-11-23T02:31:42.0751373Z [       OK ] ParameterDictTest.SimpleUpdate (3 ms)
2022-11-23T02:31:42.0751952Z [ RUN      ] ParameterDictTest.Keys
2022-11-23T02:31:42.0752823Z [       OK ] ParameterDictTest.Keys (0 ms)
2022-11-23T02:31:42.0753479Z [ RUN      ] ParameterDictTest.Values
2022-11-23T02:31:42.0756278Z [       OK ] ParameterDictTest.Values (0 ms)
2022-11-23T02:31:42.0756668Z [ RUN      ] ParameterDictTest.Get
2022-11-23T02:31:42.0758526Z [       OK ] ParameterDictTest.Get (0 ms)
2022-11-23T02:31:42.0759027Z [ RUN      ] ParameterDictTest.PrettyPrintParameterDict
2022-11-23T02:31:42.0762304Z [       OK ] ParameterDictTest.PrettyPrintParameterDict (0 ms)
2022-11-23T02:31:42.0762971Z [----------] 10 tests from ParameterDictTest (28 ms total)
2022-11-23T02:31:42.0763144Z 
2022-11-23T02:31:42.0763309Z [----------] 8 tests from ParameterListTest
2022-11-23T02:31:42.0763928Z [ RUN      ] ParameterListTest.ConstructsFromSharedPointer
2022-11-23T02:31:42.0764690Z [       OK ] ParameterListTest.ConstructsFromSharedPointer (0 ms)
2022-11-23T02:31:42.0765192Z [ RUN      ] ParameterListTest.isEmpty
2022-11-23T02:31:42.0766137Z [       OK ] ParameterListTest.isEmpty (0 ms)
2022-11-23T02:31:42.0766960Z [ RUN      ] ParameterListTest.PushBackAddsAnElement
2022-11-23T02:31:42.0767912Z [       OK ] ParameterListTest.PushBackAddsAnElement (0 ms)
2022-11-23T02:31:42.0768460Z [ RUN      ] ParameterListTest.ForEachLoop
2022-11-23T02:31:42.0772829Z [       OK ] ParameterListTest.ForEachLoop (0 ms)
2022-11-23T02:31:42.0773364Z [ RUN      ] ParameterListTest.AccessWithAt
2022-11-23T02:31:42.0852462Z [       OK ] ParameterListTest.AccessWithAt (7 ms)
2022-11-23T02:31:42.0853134Z [ RUN      ] ParameterListTest.ExtendPushesParametersFromOtherParameterList
2022-11-23T02:31:42.0858381Z [       OK ] ParameterListTest.ExtendPushesParametersFromOtherParameterList (0 ms)
2022-11-23T02:31:42.0859079Z [ RUN      ] ParameterListTest.PrettyPrintParameterList
2022-11-23T02:31:42.0859763Z [       OK ] ParameterListTest.PrettyPrintParameterList (0 ms)
2022-11-23T02:31:42.0860394Z [ RUN      ] ParameterListTest.IncrementAdd
2022-11-23T02:31:42.0866968Z [       OK ] ParameterListTest.IncrementAdd (0 ms)
2022-11-23T02:31:42.0867647Z [----------] 8 tests from ParameterListTest (10 ms total)
2022-11-23T02:31:42.0867913Z 
2022-11-23T02:31:42.0868068Z [----------] 1 test from NamespaceTests
2022-11-23T02:31:42.0868453Z [ RUN      ] NamespaceTests.NotLeakingSymbolsFromTorchAutogradNamespace
2022-11-23T02:31:42.0868964Z [       OK ] NamespaceTests.NotLeakingSymbolsFromTorchAutogradNamespace (0 ms)
2022-11-23T02:31:42.0869388Z [----------] 1 test from NamespaceTests (0 ms total)
2022-11-23T02:31:42.0869552Z 
2022-11-23T02:31:42.0869685Z [----------] 7 tests from NNUtilsTest
2022-11-23T02:31:42.0869969Z [ RUN      ] NNUtilsTest.ClipGradNorm
2022-11-23T02:31:42.1001626Z [       OK ] NNUtilsTest.ClipGradNorm (13 ms)
2022-11-23T02:31:42.1002034Z [ RUN      ] NNUtilsTest.ClipGradNormErrorIfNonfinite
2022-11-23T02:31:42.7579940Z [       OK ] NNUtilsTest.ClipGradNormErrorIfNonfinite (657 ms)
2022-11-23T02:31:42.7580409Z [ RUN      ] NNUtilsTest.ClipGradValue
2022-11-23T02:31:42.7597088Z [       OK ] NNUtilsTest.ClipGradValue (1 ms)
2022-11-23T02:31:42.7597947Z [ RUN      ] NNUtilsTest.ConvertParameters
2022-11-23T02:31:42.7626389Z [       OK ] NNUtilsTest.ConvertParameters (2 ms)
2022-11-23T02:31:42.7626749Z [ RUN      ] NNUtilsTest.PackSequence
2022-11-23T02:31:43.4720286Z [       OK ] NNUtilsTest.PackSequence (709 ms)
2022-11-23T02:31:43.4720676Z [ RUN      ] NNUtilsTest.PackPaddedSequence
2022-11-23T02:31:43.5571613Z [       OK ] NNUtilsTest.PackPaddedSequence (85 ms)
2022-11-23T02:31:43.5571936Z [ RUN      ] NNUtilsTest.PadSequence
2022-11-23T02:31:43.7001819Z [       OK ] NNUtilsTest.PadSequence (143 ms)
2022-11-23T02:31:43.7002482Z [----------] 7 tests from NNUtilsTest (1613 ms total)
2022-11-23T02:31:43.7002703Z 
2022-11-23T02:31:43.7002878Z [----------] 3 tests from PackedSequenceTest
2022-11-23T02:31:43.7003185Z [ RUN      ] PackedSequenceTest.WrongOrder
2022-11-23T02:31:43.7083617Z [       OK ] PackedSequenceTest.WrongOrder (8 ms)
2022-11-23T02:31:43.7084145Z [ RUN      ] PackedSequenceTest.TotalLength
2022-11-23T02:31:43.7293692Z [       OK ] PackedSequenceTest.TotalLength (20 ms)
2022-11-23T02:31:43.7294239Z [ RUN      ] PackedSequenceTest.To
2022-11-23T02:31:43.7307888Z [       OK ] PackedSequenceTest.To (1 ms)
2022-11-23T02:31:43.7308743Z [----------] 3 tests from PackedSequenceTest (30 ms total)
2022-11-23T02:31:43.7308921Z 
2022-11-23T02:31:43.7309058Z [----------] 34 tests from OptimTest
2022-11-23T02:31:43.7309357Z [ RUN      ] OptimTest.OptimizerAccessors
2022-11-23T02:31:43.7358239Z [       OK ] OptimTest.OptimizerAccessors (4 ms)
2022-11-23T02:31:43.7358579Z [ RUN      ] OptimTest.OldInterface
2022-11-23T02:31:43.7370541Z [       OK ] OptimTest.OldInterface (1 ms)
2022-11-23T02:31:43.7370856Z [ RUN      ] OptimTest.XORConvergence_SGD
2022-11-23T02:31:55.0062178Z [       OK ] OptimTest.XORConvergence_SGD (11268 ms)
2022-11-23T02:31:55.0062571Z [ RUN      ] OptimTest.XORConvergence_LBFGS
2022-11-23T02:32:02.8747321Z [       OK ] OptimTest.XORConvergence_LBFGS (7868 ms)
2022-11-23T02:32:02.8747750Z [ RUN      ] OptimTest.XORConvergence_Adagrad
2022-11-23T02:32:07.3433369Z [       OK ] OptimTest.XORConvergence_Adagrad (4468 ms)
2022-11-23T02:32:07.3433856Z [ RUN      ] OptimTest.XORConvergence_RMSprop
2022-11-23T02:32:11.7394495Z [       OK ] OptimTest.XORConvergence_RMSprop (4396 ms)
2022-11-23T02:32:11.7394934Z [ RUN      ] OptimTest.XORConvergence_RMSpropWithMomentum
2022-11-23T02:32:25.7685764Z [       OK ] OptimTest.XORConvergence_RMSpropWithMomentum (14029 ms)
2022-11-23T02:32:25.7686198Z [ RUN      ] OptimTest.XORConvergence_Adam
2022-11-23T02:32:30.4323223Z [       OK ] OptimTest.XORConvergence_Adam (4663 ms)
2022-11-23T02:32:30.4323605Z [ RUN      ] OptimTest.XORConvergence_AdamWithAmsgrad
2022-11-23T02:32:35.1001759Z [       OK ] OptimTest.XORConvergence_AdamWithAmsgrad (4667 ms)
2022-11-23T02:32:35.1002377Z [ RUN      ] OptimTest.ProducesPyTorchValues_Adam
2022-11-23T02:32:36.6857048Z [       OK ] OptimTest.ProducesPyTorchValues_Adam (1585 ms)
2022-11-23T02:32:36.6857495Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecay
2022-11-23T02:32:38.3377404Z [       OK ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecay (1652 ms)
2022-11-23T02:32:38.3378185Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecayAndAMSGrad
2022-11-23T02:32:40.0383293Z [       OK ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecayAndAMSGrad (1700 ms)
2022-11-23T02:32:40.0383728Z [ RUN      ] OptimTest.XORConvergence_AdamW
2022-11-23T02:32:44.7561595Z [       OK ] OptimTest.XORConvergence_AdamW (4717 ms)
2022-11-23T02:32:44.7562023Z [ RUN      ] OptimTest.XORConvergence_AdamWWithAmsgrad
2022-11-23T02:32:49.4929602Z [       OK ] OptimTest.XORConvergence_AdamWWithAmsgrad (4736 ms)
2022-11-23T02:32:49.4930036Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdamW
2022-11-23T02:32:51.1332522Z [       OK ] OptimTest.ProducesPyTorchValues_AdamW (1640 ms)
2022-11-23T02:32:51.1333073Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdamWWithoutWeightDecay
2022-11-23T02:32:52.7464673Z [       OK ] OptimTest.ProducesPyTorchValues_AdamWWithoutWeightDecay (1613 ms)
2022-11-23T02:32:52.7465161Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdamWWithAMSGrad
2022-11-23T02:32:54.4640703Z [       OK ] OptimTest.ProducesPyTorchValues_AdamWWithAMSGrad (1717 ms)
2022-11-23T02:32:54.4641137Z [ RUN      ] OptimTest.ProducesPyTorchValues_Adagrad
2022-11-23T02:32:55.7811651Z [       OK ] OptimTest.ProducesPyTorchValues_Adagrad (1317 ms)
2022-11-23T02:32:55.7812097Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecay
2022-11-23T02:32:57.1506923Z [       OK ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecay (1369 ms)
2022-11-23T02:32:57.1507413Z [ RUN      ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecayAndLRDecay
2022-11-23T02:32:58.5326555Z [       OK ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecayAndLRDecay (1381 ms)
2022-11-23T02:32:58.5327248Z [ RUN      ] OptimTest.ProducesPyTorchValues_RMSprop
2022-11-23T02:32:59.9028329Z [       OK ] OptimTest.ProducesPyTorchValues_RMSprop (1370 ms)
2022-11-23T02:32:59.9028784Z [ RUN      ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecay
2022-11-23T02:33:01.3477725Z [       OK ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecay (1444 ms)
2022-11-23T02:33:01.3478646Z [ RUN      ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCentered
2022-11-23T02:33:02.9057986Z [       OK ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCentered (1558 ms)
2022-11-23T02:33:02.9058912Z [ RUN      ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCenteredAndMomentum
2022-11-23T02:33:04.5802776Z [       OK ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCenteredAndMomentum (1674 ms)
2022-11-23T02:33:04.5803598Z [ RUN      ] OptimTest.ProducesPyTorchValues_SGD
2022-11-23T02:33:05.6947615Z [       OK ] OptimTest.ProducesPyTorchValues_SGD (1114 ms)
2022-11-23T02:33:05.6948353Z [ RUN      ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecay
2022-11-23T02:33:06.8902918Z [       OK ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecay (1195 ms)
2022-11-23T02:33:06.8903724Z [ RUN      ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndMomentum
2022-11-23T02:33:08.1544612Z [       OK ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndMomentum (1264 ms)
2022-11-23T02:33:08.1545488Z [ RUN      ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndNesterovMomentum
2022-11-23T02:33:09.5198804Z [       OK ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndNesterovMomentum (1365 ms)
2022-11-23T02:33:09.5199590Z [ RUN      ] OptimTest.ProducesPyTorchValues_LBFGS
2022-11-23T02:33:10.7116183Z [       OK ] OptimTest.ProducesPyTorchValues_LBFGS (1191 ms)
2022-11-23T02:33:10.7116964Z [ RUN      ] OptimTest.ProducesPyTorchValues_LBFGS_with_line_search
2022-11-23T02:33:16.8230158Z [       OK ] OptimTest.ProducesPyTorchValues_LBFGS_with_line_search (6111 ms)
2022-11-23T02:33:16.8230811Z [ RUN      ] OptimTest.ZeroGrad
2022-11-23T02:33:16.8239539Z [       OK ] OptimTest.ZeroGrad (1 ms)
2022-11-23T02:33:16.8252385Z [ RUN      ] OptimTest.ExternalVectorOfParameters
2022-11-23T02:33:16.8252985Z [       OK ] OptimTest.ExternalVectorOfParameters (1 ms)
2022-11-23T02:33:16.8253531Z [ RUN      ] OptimTest.AddParameter_LBFGS
2022-11-23T02:33:16.8259652Z [       OK ] OptimTest.AddParameter_LBFGS (0 ms)
2022-11-23T02:33:16.8260071Z [ RUN      ] OptimTest.CheckLRChange_StepLR_Adam
2022-11-23T02:33:16.8270900Z [       OK ] OptimTest.CheckLRChange_StepLR_Adam (1 ms)
2022-11-23T02:33:16.8271432Z [----------] 34 tests from OptimTest (93096 ms total)
2022-11-23T02:33:16.8271694Z 
2022-11-23T02:33:16.8271976Z [----------] 29 tests from OrderedDictTest
2022-11-23T02:33:16.8272607Z [ RUN      ] OrderedDictTest.IsEmptyAfterDefaultConstruction
2022-11-23T02:33:16.8274847Z [       OK ] OrderedDictTest.IsEmptyAfterDefaultConstruction (0 ms)
2022-11-23T02:33:16.8275587Z [ RUN      ] OrderedDictTest.InsertAddsElementsWhenTheyAreYetNotPresent
2022-11-23T02:33:16.8276114Z [       OK ] OrderedDictTest.InsertAddsElementsWhenTheyAreYetNotPresent (0 ms)
2022-11-23T02:33:16.8276585Z [ RUN      ] OrderedDictTest.GetReturnsValuesWhenTheyArePresent
2022-11-23T02:33:16.8277027Z [       OK ] OrderedDictTest.GetReturnsValuesWhenTheyArePresent (0 ms)
2022-11-23T02:33:16.8277702Z [ RUN      ] OrderedDictTest.GetThrowsWhenPassedKeysThatAreNotPresent
2022-11-23T02:33:16.8323725Z [       OK ] OrderedDictTest.GetThrowsWhenPassedKeysThatAreNotPresent (5 ms)
2022-11-23T02:33:16.8324214Z [ RUN      ] OrderedDictTest.CanInitializeFromList
2022-11-23T02:33:16.8324791Z [       OK ] OrderedDictTest.CanInitializeFromList (0 ms)
2022-11-23T02:33:16.8325240Z [ RUN      ] OrderedDictTest.InsertThrowsWhenPassedElementsThatArePresent
2022-11-23T02:33:16.8371213Z [       OK ] OrderedDictTest.InsertThrowsWhenPassedElementsThatArePresent (4 ms)
2022-11-23T02:33:16.8371827Z [ RUN      ] OrderedDictTest.FrontReturnsTheFirstItem
2022-11-23T02:33:16.8372274Z [       OK ] OrderedDictTest.FrontReturnsTheFirstItem (0 ms)
2022-11-23T02:33:16.8372642Z [ RUN      ] OrderedDictTest.FrontThrowsWhenEmpty
2022-11-23T02:33:16.8394695Z [       OK ] OrderedDictTest.FrontThrowsWhenEmpty (2 ms)
2022-11-23T02:33:16.8395057Z [ RUN      ] OrderedDictTest.BackReturnsTheLastItem
2022-11-23T02:33:16.8395431Z [       OK ] OrderedDictTest.BackReturnsTheLastItem (0 ms)
2022-11-23T02:33:16.8395792Z [ RUN      ] OrderedDictTest.BackThrowsWhenEmpty
2022-11-23T02:33:16.8418782Z [       OK ] OrderedDictTest.BackThrowsWhenEmpty (2 ms)
2022-11-23T02:33:16.8419389Z [ RUN      ] OrderedDictTest.FindReturnsPointersToValuesWhenPresent
2022-11-23T02:33:16.8420013Z [       OK ] OrderedDictTest.FindReturnsPointersToValuesWhenPresent (0 ms)
2022-11-23T02:33:16.8420561Z [ RUN      ] OrderedDictTest.FindReturnsNullPointersWhenPasesdKeysThatAreNotPresent
2022-11-23T02:33:16.8421209Z [       OK ] OrderedDictTest.FindReturnsNullPointersWhenPasesdKeysThatAreNotPresent (0 ms)
2022-11-23T02:33:16.8422162Z [ RUN      ] OrderedDictTest.SubscriptOperatorThrowsWhenPassedKeysThatAreNotPresent
2022-11-23T02:33:16.8422976Z [       OK ] OrderedDictTest.SubscriptOperatorThrowsWhenPassedKeysThatAreNotPresent (0 ms)
2022-11-23T02:33:16.8423593Z [ RUN      ] OrderedDictTest.SubscriptOperatorReturnsItemsPositionallyWhenPassedIntegers
2022-11-23T02:33:16.8424222Z [       OK ] OrderedDictTest.SubscriptOperatorReturnsItemsPositionallyWhenPassedIntegers (0 ms)
2022-11-23T02:33:16.8424845Z [ RUN      ] OrderedDictTest.SubscriptOperatorsThrowswhenPassedKeysThatAreNotPresent
2022-11-23T02:33:16.8468430Z [       OK ] OrderedDictTest.SubscriptOperatorsThrowswhenPassedKeysThatAreNotPresent (4 ms)
2022-11-23T02:33:16.8469006Z [ RUN      ] OrderedDictTest.UpdateInsertsAllItemsFromAnotherOrderedDict
2022-11-23T02:33:16.8469511Z [       OK ] OrderedDictTest.UpdateInsertsAllItemsFromAnotherOrderedDict (0 ms)
2022-11-23T02:33:16.8469965Z [ RUN      ] OrderedDictTest.UpdateAlsoChecksForDuplicates
2022-11-23T02:33:16.8494236Z [       OK ] OrderedDictTest.UpdateAlsoChecksForDuplicates (2 ms)
2022-11-23T02:33:16.8495043Z [ RUN      ] OrderedDictTest.CanIterateItems
2022-11-23T02:33:16.8495626Z [       OK ] OrderedDictTest.CanIterateItems (0 ms)
2022-11-23T02:33:16.8496222Z [ RUN      ] OrderedDictTest.EraseWorks
2022-11-23T02:33:16.8496743Z [       OK ] OrderedDictTest.EraseWorks (0 ms)
2022-11-23T02:33:16.8497113Z [ RUN      ] OrderedDictTest.ClearMakesTheDictEmpty
2022-11-23T02:33:16.8497793Z [       OK ] OrderedDictTest.ClearMakesTheDictEmpty (0 ms)
2022-11-23T02:33:16.8498407Z [ RUN      ] OrderedDictTest.CanCopyConstruct
2022-11-23T02:33:16.8499008Z [       OK ] OrderedDictTest.CanCopyConstruct (0 ms)
2022-11-23T02:33:16.8499598Z [ RUN      ] OrderedDictTest.CanCopyAssign
2022-11-23T02:33:16.8500195Z [       OK ] OrderedDictTest.CanCopyAssign (0 ms)
2022-11-23T02:33:16.8500522Z [ RUN      ] OrderedDictTest.CanMoveConstruct
2022-11-23T02:33:16.8500847Z [       OK ] OrderedDictTest.CanMoveConstruct (0 ms)
2022-11-23T02:33:16.8501171Z [ RUN      ] OrderedDictTest.CanMoveAssign
2022-11-23T02:33:16.8501494Z [       OK ] OrderedDictTest.CanMoveAssign (0 ms)
2022-11-23T02:33:16.8501814Z [ RUN      ] OrderedDictTest.CanInsertWithBraces
2022-11-23T02:33:16.8502342Z [       OK ] OrderedDictTest.CanInsertWithBraces (0 ms)
2022-11-23T02:33:16.8502753Z [ RUN      ] OrderedDictTest.ErrorMessagesIncludeTheKeyDescription
2022-11-23T02:33:16.8545207Z [       OK ] OrderedDictTest.ErrorMessagesIncludeTheKeyDescription (4 ms)
2022-11-23T02:33:16.8546150Z [ RUN      ] OrderedDictTest.KeysReturnsAllKeys
2022-11-23T02:33:16.8546738Z [       OK ] OrderedDictTest.KeysReturnsAllKeys (0 ms)
2022-11-23T02:33:16.8547100Z [ RUN      ] OrderedDictTest.ValuesReturnsAllValues
2022-11-23T02:33:16.8547461Z [       OK ] OrderedDictTest.ValuesReturnsAllValues (0 ms)
2022-11-23T02:33:16.8547823Z [ RUN      ] OrderedDictTest.ItemsReturnsAllItems
2022-11-23T02:33:16.8548180Z [       OK ] OrderedDictTest.ItemsReturnsAllItems (0 ms)
2022-11-23T02:33:16.8548540Z [----------] 29 tests from OrderedDictTest (27 ms total)
2022-11-23T02:33:16.8548686Z 
2022-11-23T02:33:16.8548827Z [----------] 13 tests from RNNTest
2022-11-23T02:33:16.8549110Z [ RUN      ] RNNTest.CheckOutputSizes
2022-11-23T02:33:16.9340973Z [       OK ] RNNTest.CheckOutputSizes (79 ms)
2022-11-23T02:33:16.9341295Z [ RUN      ] RNNTest.CheckOutputSizesProj
2022-11-23T02:33:16.9925030Z [       OK ] RNNTest.CheckOutputSizesProj (58 ms)
2022-11-23T02:33:16.9925392Z [ RUN      ] RNNTest.CheckOutputValuesMatchPyTorch
2022-11-23T02:33:16.9953817Z [       OK ] RNNTest.CheckOutputValuesMatchPyTorch (2 ms)
2022-11-23T02:33:16.9954129Z [ RUN      ] RNNTest.EndToEndLSTM
2022-11-23T02:33:32.9196452Z [       OK ] RNNTest.EndToEndLSTM (15923 ms)
2022-11-23T02:33:32.9196854Z [ RUN      ] RNNTest.EndToEndLSTMProj
2022-11-23T02:33:48.0042005Z [       OK ] RNNTest.EndToEndLSTMProj (15084 ms)
2022-11-23T02:33:48.0061148Z [ RUN      ] RNNTest.EndToEndGRU
2022-11-23T02:34:01.6319490Z [       OK ] RNNTest.EndToEndGRU (13627 ms)
2022-11-23T02:34:01.6319846Z [ RUN      ] RNNTest.EndToEndRNNRelu
2022-11-23T02:34:08.6181664Z [       OK ] RNNTest.EndToEndRNNRelu (6986 ms)
2022-11-23T02:34:08.6182056Z [ RUN      ] RNNTest.EndToEndRNNTanh
2022-11-23T02:34:16.2788260Z [       OK ] RNNTest.EndToEndRNNTanh (7660 ms)
2022-11-23T02:34:16.2788633Z [ RUN      ] RNNTest.PrettyPrintRNNs
2022-11-23T02:34:16.2903001Z [       OK ] RNNTest.PrettyPrintRNNs (11 ms)
2022-11-23T02:34:16.2903544Z [ RUN      ] RNNTest.BidirectionalFlattenParameters
2022-11-23T02:34:16.3333743Z [       OK ] RNNTest.BidirectionalFlattenParameters (42 ms)
2022-11-23T02:34:16.3334173Z [ RUN      ] RNNTest.BidirectionalGRUReverseForward
2022-11-23T02:34:16.3443437Z [       OK ] RNNTest.BidirectionalGRUReverseForward (11 ms)
2022-11-23T02:34:16.3444041Z [ RUN      ] RNNTest.BidirectionalLSTMReverseForward
2022-11-23T02:34:16.3537744Z [       OK ] RNNTest.BidirectionalLSTMReverseForward (9 ms)
2022-11-23T02:34:16.3538300Z [ RUN      ] RNNTest.UsePackedSequenceAsInput
2022-11-23T02:34:16.3670054Z [       OK ] RNNTest.UsePackedSequenceAsInput (13 ms)
2022-11-23T02:34:16.3670468Z [----------] 13 tests from RNNTest (59512 ms total)
2022-11-23T02:34:16.3670627Z 
2022-11-23T02:34:16.3670781Z [----------] 19 tests from SequentialTest
2022-11-23T02:34:16.3673650Z [ RUN      ] SequentialTest.CanContainThings
2022-11-23T02:34:16.3674175Z [       OK ] SequentialTest.CanContainThings (0 ms)
2022-11-23T02:34:16.3674541Z [ RUN      ] SequentialTest.ConstructsFromSharedPointer
2022-11-23T02:34:16.3705504Z [       OK ] SequentialTest.ConstructsFromSharedPointer (3 ms)
2022-11-23T02:34:16.3706025Z [ RUN      ] SequentialTest.ConstructsFromConcreteType
2022-11-23T02:34:16.3706716Z [       OK ] SequentialTest.ConstructsFromConcreteType (0 ms)
2022-11-23T02:34:16.3707243Z [ RUN      ] SequentialTest.ConstructsFromModuleHolder
2022-11-23T02:34:16.3708190Z [       OK ] SequentialTest.ConstructsFromModuleHolder (0 ms)
2022-11-23T02:34:16.3708552Z [ RUN      ] SequentialTest.PushBackAddsAnElement
2022-11-23T02:34:16.3712149Z [       OK ] SequentialTest.PushBackAddsAnElement (0 ms)
2022-11-23T02:34:16.3712503Z [ RUN      ] SequentialTest.AccessWithAt
2022-11-23T02:34:16.3774281Z [       OK ] SequentialTest.AccessWithAt (6 ms)
2022-11-23T02:34:16.3774643Z [ RUN      ] SequentialTest.AccessWithPtr
2022-11-23T02:34:16.3822280Z [       OK ] SequentialTest.AccessWithPtr (4 ms)
2022-11-23T02:34:16.3822756Z [ RUN      ] SequentialTest.CallingForwardOnEmptySequentialIsDisallowed
2022-11-23T02:34:16.3846385Z [       OK ] SequentialTest.CallingForwardOnEmptySequentialIsDisallowed (2 ms)
2022-11-23T02:34:16.3846911Z [ RUN      ] SequentialTest.CallingForwardChainsCorrectly
2022-11-23T02:34:16.3847651Z [       OK ] SequentialTest.CallingForwardChainsCorrectly (0 ms)
2022-11-23T02:34:16.3848107Z [ RUN      ] SequentialTest.CallingForwardWithTheWrongReturnTypeThrows
2022-11-23T02:34:16.3884148Z [       OK ] SequentialTest.CallingForwardWithTheWrongReturnTypeThrows (3 ms)
2022-11-23T02:34:16.3884643Z [ RUN      ] SequentialTest.TheReturnTypeOfForwardDefaultsToTensor
2022-11-23T02:34:16.3886306Z [       OK ] SequentialTest.TheReturnTypeOfForwardDefaultsToTensor (0 ms)
2022-11-23T02:34:16.3886732Z [ RUN      ] SequentialTest.ForwardReturnsTheLastValue
2022-11-23T02:34:16.3908635Z [       OK ] SequentialTest.ForwardReturnsTheLastValue (2 ms)
2022-11-23T02:34:16.3909080Z [ RUN      ] SequentialTest.SanityCheckForHoldingStandardModules
2022-11-23T02:34:16.3918767Z [       OK ] SequentialTest.SanityCheckForHoldingStandardModules (0 ms)
2022-11-23T02:34:16.3919220Z [ RUN      ] SequentialTest.ExtendPushesModulesFromOtherSequential
2022-11-23T02:34:16.3921469Z [       OK ] SequentialTest.ExtendPushesModulesFromOtherSequential (0 ms)
2022-11-23T02:34:16.3922096Z [ RUN      ] SequentialTest.HasReferenceSemantics
2022-11-23T02:34:16.3923755Z [       OK ] SequentialTest.HasReferenceSemantics (0 ms)
2022-11-23T02:34:16.3924321Z [ RUN      ] SequentialTest.IsCloneable
2022-11-23T02:34:16.3955677Z [       OK ] SequentialTest.IsCloneable (3 ms)
2022-11-23T02:34:16.3956075Z [ RUN      ] SequentialTest.RegistersElementsAsSubmodules
2022-11-23T02:34:16.3958765Z [       OK ] SequentialTest.RegistersElementsAsSubmodules (0 ms)
2022-11-23T02:34:16.3959153Z [ RUN      ] SequentialTest.PrettyPrintSequential
2022-11-23T02:34:16.3974577Z [       OK ] SequentialTest.PrettyPrintSequential (1 ms)
2022-11-23T02:34:16.3975018Z [ RUN      ] SequentialTest.ModuleForwardMethodOptionalArg
2022-11-23T02:34:16.4348855Z [       OK ] SequentialTest.ModuleForwardMethodOptionalArg (37 ms)
2022-11-23T02:34:16.4349312Z [----------] 19 tests from SequentialTest (67 ms total)
2022-11-23T02:34:16.4349477Z 
2022-11-23T02:34:16.4349635Z [----------] 11 tests from TransformerTest
2022-11-23T02:34:16.4349975Z [ RUN      ] TransformerTest.TransformerEncoderLayer
2022-11-23T02:34:16.4940698Z [       OK ] TransformerTest.TransformerEncoderLayer (59 ms)
2022-11-23T02:34:16.4941090Z [ RUN      ] TransformerTest.TransformerDecoderLayer
2022-11-23T02:34:16.5548299Z [       OK ] TransformerTest.TransformerDecoderLayer (60 ms)
2022-11-23T02:34:16.5548813Z [ RUN      ] TransformerTest.TransformerDecoderLayer_gelu
2022-11-23T02:34:16.5865085Z [       OK ] TransformerTest.TransformerDecoderLayer_gelu (31 ms)
2022-11-23T02:34:16.5865530Z [ RUN      ] TransformerTest.TransformerEncoder
2022-11-23T02:34:16.7040295Z [       OK ] TransformerTest.TransformerEncoder (117 ms)
2022-11-23T02:34:16.7040997Z [ RUN      ] TransformerTest.PrettyPrintTransformerEncoderLayer
2022-11-23T02:34:16.7048830Z [       OK ] TransformerTest.PrettyPrintTransformerEncoderLayer (0 ms)
2022-11-23T02:34:16.7049342Z [ RUN      ] TransformerTest.PrettyPrintTransformerEncoder
2022-11-23T02:34:16.7097930Z [       OK ] TransformerTest.PrettyPrintTransformerEncoder (4 ms)
2022-11-23T02:34:16.7098385Z [ RUN      ] TransformerTest.PrettyPrintTransformerDecoderLayer
2022-11-23T02:34:16.7107894Z [       OK ] TransformerTest.PrettyPrintTransformerDecoderLayer (0 ms)
2022-11-23T02:34:16.7108361Z [ RUN      ] TransformerTest.TransformerDecoder
2022-11-23T02:34:17.0612702Z [       OK ] TransformerTest.TransformerDecoder (350 ms)
2022-11-23T02:34:17.0613183Z [ RUN      ] TransformerTest.PrettyPrintTransformerDecoder
2022-11-23T02:34:17.0671028Z [       OK ] TransformerTest.PrettyPrintTransformerDecoder (5 ms)
2022-11-23T02:34:17.0671418Z [ RUN      ] TransformerTest.Transformer
2022-11-23T02:34:17.1898881Z [       OK ] TransformerTest.Transformer (122 ms)
2022-11-23T02:34:17.1899279Z [ RUN      ] TransformerTest.TransformerArgsCorrectness
2022-11-23T02:34:17.2066801Z [       OK ] TransformerTest.TransformerArgsCorrectness (16 ms)
2022-11-23T02:34:17.2067522Z [----------] 11 tests from TransformerTest (771 ms total)
2022-11-23T02:34:17.2067700Z 
2022-11-23T02:34:17.2067916Z [----------] 23 tests from SerializeTest
2022-11-23T02:34:17.2068199Z [ RUN      ] SerializeTest.KeysFunc
2022-11-23T02:34:17.2084362Z [       OK ] SerializeTest.KeysFunc (1 ms)
2022-11-23T02:34:17.2084683Z [ RUN      ] SerializeTest.TryReadFunc
2022-11-23T02:34:17.2097853Z [       OK ] SerializeTest.TryReadFunc (1 ms)
2022-11-23T02:34:17.2098388Z [ RUN      ] SerializeTest.Basic
2022-11-23T02:34:17.2114757Z [       OK ] SerializeTest.Basic (1 ms)
2022-11-23T02:34:17.2115319Z [ RUN      ] SerializeTest.MathBits
2022-11-23T02:34:17.2305576Z [       OK ] SerializeTest.MathBits (18 ms)
2022-11-23T02:34:17.2306010Z [ RUN      ] SerializeTest.BasicToFile
2022-11-23T02:34:17.2324489Z [       OK ] SerializeTest.BasicToFile (1 ms)
2022-11-23T02:34:17.2325065Z [ RUN      ] SerializeTest.BasicViaFunc
2022-11-23T02:34:17.2354255Z [       OK ] SerializeTest.BasicViaFunc (2 ms)
2022-11-23T02:34:17.2354778Z [ RUN      ] SerializeTest.Resized
2022-11-23T02:34:17.2369580Z [       OK ] SerializeTest.Resized (1 ms)
2022-11-23T02:34:17.2370112Z [ RUN      ] SerializeTest.Sliced
2022-11-23T02:34:17.2384970Z [       OK ] SerializeTest.Sliced (1 ms)
2022-11-23T02:34:17.2385511Z [ RUN      ] SerializeTest.NonContiguous
2022-11-23T02:34:17.2400604Z [       OK ] SerializeTest.NonContiguous (1 ms)
2022-11-23T02:34:17.2401205Z [ RUN      ] SerializeTest.ErrorOnMissingKey
2022-11-23T02:34:17.2585310Z [       OK ] SerializeTest.ErrorOnMissingKey (18 ms)
2022-11-23T02:34:17.2585723Z [ RUN      ] SerializeTest.XOR
2022-11-23T02:34:18.7061393Z [       OK ] SerializeTest.XOR (1447 ms)
2022-11-23T02:34:18.7061733Z [ RUN      ] SerializeTest.Optim
2022-11-23T02:34:18.7498099Z [       OK ] SerializeTest.Optim (43 ms)
2022-11-23T02:34:18.7498629Z [ RUN      ] SerializeTest.Optim_Adagrad
2022-11-23T02:34:18.7693419Z [       OK ] SerializeTest.Optim_Adagrad (19 ms)
2022-11-23T02:34:18.7693718Z [ RUN      ] SerializeTest.Optim_SGD
2022-11-23T02:34:18.7873883Z [       OK ] SerializeTest.Optim_SGD (17 ms)
2022-11-23T02:34:18.7874206Z [ RUN      ] SerializeTest.Optim_Adam
2022-11-23T02:34:18.8109525Z [       OK ] SerializeTest.Optim_Adam (23 ms)
2022-11-23T02:34:18.8110068Z [ RUN      ] SerializeTest.Optim_AdamW
2022-11-23T02:34:18.8368131Z [       OK ] SerializeTest.Optim_AdamW (25 ms)
2022-11-23T02:34:18.8368472Z [ RUN      ] SerializeTest.Optim_RMSprop
2022-11-23T02:34:18.8620451Z [       OK ] SerializeTest.Optim_RMSprop (25 ms)
2022-11-23T02:34:18.8620765Z [ RUN      ] SerializeTest.Optim_LBFGS
2022-11-23T02:34:18.8831726Z [       OK ] SerializeTest.Optim_LBFGS (21 ms)
2022-11-23T02:34:18.8832269Z [ RUN      ] SerializeTest.CanSerializeModulesWithIntermediateModulesWithoutParametersOrBuffers
2022-11-23T02:34:18.8861251Z [       OK ] SerializeTest.CanSerializeModulesWithIntermediateModulesWithoutParametersOrBuffers (2 ms)
2022-11-23T02:34:18.8861767Z [ RUN      ] SerializeTest.VectorOfTensors
2022-11-23T02:34:18.8879472Z [       OK ] SerializeTest.VectorOfTensors (1 ms)
2022-11-23T02:34:18.8880026Z [ RUN      ] SerializeTest.IValue
2022-11-23T02:34:18.8890612Z [       OK ] SerializeTest.IValue (1 ms)
2022-11-23T02:34:18.8891232Z [ RUN      ] SerializeTest.UnserializableSubmoduleIsSkippedWhenSavingModule
2022-11-23T02:34:18.8899028Z [       OK ] SerializeTest.UnserializableSubmoduleIsSkippedWhenSavingModule (0 ms)
2022-11-23T02:34:18.8899608Z [ RUN      ] SerializeTest.UnserializableSubmoduleIsIgnoredWhenLoadingModule
2022-11-23T02:34:18.8931506Z [       OK ] SerializeTest.UnserializableSubmoduleIsIgnoredWhenLoadingModule (3 ms)
2022-11-23T02:34:18.8931986Z [----------] 23 tests from SerializeTest (1686 ms total)
2022-11-23T02:34:18.8932201Z 
2022-11-23T02:34:18.8932392Z [----------] 1 test from SpecialTest
2022-11-23T02:34:18.8932786Z [ RUN      ] SpecialTest.special
2022-11-23T02:34:18.8933457Z [       OK ] SpecialTest.special (0 ms)
2022-11-23T02:34:18.8933869Z [----------] 1 test from SpecialTest (0 ms total)
2022-11-23T02:34:18.8934088Z 
2022-11-23T02:34:18.8934236Z [----------] 5 tests from TestStatic
2022-11-23T02:34:18.8934557Z [ RUN      ] TestStatic.AllOf
2022-11-23T02:34:18.8934919Z [       OK ] TestStatic.AllOf (0 ms)
2022-11-23T02:34:18.8935284Z [ RUN      ] TestStatic.AnyOf
2022-11-23T02:34:18.8935685Z [       OK ] TestStatic.AnyOf (0 ms)
2022-11-23T02:34:18.8936076Z [ RUN      ] TestStatic.EnableIfModule
2022-11-23T02:34:18.8936626Z [       OK ] TestStatic.EnableIfModule (0 ms)
2022-11-23T02:34:18.8937179Z [ RUN      ] TestStatic.ReturnTypeOfForward
2022-11-23T02:34:18.8937570Z [       OK ] TestStatic.ReturnTypeOfForward (0 ms)
2022-11-23T02:34:18.8937855Z [ RUN      ] TestStatic.Apply
2022-11-23T02:34:18.8938124Z [       OK ] TestStatic.Apply (0 ms)
2022-11-23T02:34:18.8938505Z [----------] 5 tests from TestStatic (0 ms total)
2022-11-23T02:34:18.8938642Z 
2022-11-23T02:34:18.8938785Z [----------] 45 tests from TensorTest
2022-11-23T02:34:18.8939043Z [ RUN      ] TensorTest.ToDtype
2022-11-23T02:34:18.8939706Z [       OK ] TensorTest.ToDtype (0 ms)
2022-11-23T02:34:18.8940018Z [ RUN      ] TensorTest.ToTensorAndTensorAttributes
2022-11-23T02:34:18.8942286Z [       OK ] TensorTest.ToTensorAndTensorAttributes (0 ms)
2022-11-23T02:34:18.8942658Z [ RUN      ] TensorTest.ToOptionsWithRequiresGrad
2022-11-23T02:34:18.8995285Z [       OK ] TensorTest.ToOptionsWithRequiresGrad (5 ms)
2022-11-23T02:34:18.8995766Z [ RUN      ] TensorTest.ToDoesNotCopyWhenOptionsAreAllTheSame
2022-11-23T02:34:18.8996570Z [       OK ] TensorTest.ToDoesNotCopyWhenOptionsAreAllTheSame (0 ms)
2022-11-23T02:34:18.8996940Z [ RUN      ] TensorTest.AtTensorCtorScalar
2022-11-23T02:34:18.9002387Z [       OK ] TensorTest.AtTensorCtorScalar (0 ms)
2022-11-23T02:34:18.9002723Z [ RUN      ] TensorTest.AtTensorCtorSingleDim
2022-11-23T02:34:18.9010377Z [       OK ] TensorTest.AtTensorCtorSingleDim (0 ms)
2022-11-23T02:34:18.9010792Z [ RUN      ] TensorTest.AtTensorCastRealToComplex
2022-11-23T02:34:18.9011963Z [       OK ] TensorTest.AtTensorCastRealToComplex (0 ms)
2022-11-23T02:34:18.9012404Z [ RUN      ] TensorTest.AtTensorCastComplexToRealErrorChecks
2022-11-23T02:34:18.9131149Z [       OK ] TensorTest.AtTensorCastComplexToRealErrorChecks (11 ms)
2022-11-23T02:34:18.9131908Z [ RUN      ] TensorTest.TorchTensorCtorScalarIntegralType
2022-11-23T02:34:18.9132396Z [       OK ] TensorTest.TorchTensorCtorScalarIntegralType (0 ms)
2022-11-23T02:34:18.9133030Z [ RUN      ] TensorTest.TorchTensorCtorScalarFloatingType
2022-11-23T02:34:18.9133753Z [       OK ] TensorTest.TorchTensorCtorScalarFloatingType (0 ms)
2022-11-23T02:34:18.9134251Z [ RUN      ] TensorTest.TorchTensorCtorScalarBoolType
2022-11-23T02:34:18.9135004Z [       OK ] TensorTest.TorchTensorCtorScalarBoolType (0 ms)
2022-11-23T02:34:18.9135448Z [ RUN      ] TensorTest.TorchTensorCtorSingleDimIntegralType
2022-11-23T02:34:18.9139615Z [       OK ] TensorTest.TorchTensorCtorSingleDimIntegralType (0 ms)
2022-11-23T02:34:18.9140243Z [ RUN      ] TensorTest.TorchTensorCtorSingleDimFloatingType
2022-11-23T02:34:18.9148586Z [       OK ] TensorTest.TorchTensorCtorSingleDimFloatingType (0 ms)
2022-11-23T02:34:18.9149212Z [ RUN      ] TensorTest.TorchTensorCtorSingleDimBoolType
2022-11-23T02:34:18.9150947Z [       OK ] TensorTest.TorchTensorCtorSingleDimBoolType (0 ms)
2022-11-23T02:34:18.9151360Z [ RUN      ] TensorTest.TorchTensorCtorMultiDimIntegralType
2022-11-23T02:34:18.9187843Z [       OK ] TensorTest.TorchTensorCtorMultiDimIntegralType (3 ms)
2022-11-23T02:34:18.9188269Z [ RUN      ] TensorTest.TorchTensorCtorMultiDimFloatingType
2022-11-23T02:34:18.9209735Z [       OK ] TensorTest.TorchTensorCtorMultiDimFloatingType (2 ms)
2022-11-23T02:34:18.9210150Z [ RUN      ] TensorTest.TorchTensorCtorMultiDimBoolType
2022-11-23T02:34:18.9212616Z [       OK ] TensorTest.TorchTensorCtorMultiDimBoolType (0 ms)
2022-11-23T02:34:18.9213045Z [ RUN      ] TensorTest.TorchTensorCtorMultiDimWithOptions
2022-11-23T02:34:18.9222150Z [       OK ] TensorTest.TorchTensorCtorMultiDimWithOptions (0 ms)
2022-11-23T02:34:18.9222568Z [ RUN      ] TensorTest.TorchTensorCtorMultiDimErrorChecks
2022-11-23T02:34:18.9340626Z [       OK ] TensorTest.TorchTensorCtorMultiDimErrorChecks (11 ms)
2022-11-23T02:34:18.9341016Z [ RUN      ] TensorTest.TorchTensorCastRealToComplex
2022-11-23T02:34:18.9343103Z [       OK ] TensorTest.TorchTensorCastRealToComplex (0 ms)
2022-11-23T02:34:18.9343590Z [ RUN      ] TensorTest.TorchTensorCastComplexToRealErrorChecks
2022-11-23T02:34:18.9346002Z [W Copy.cpp:275] Warning: Casting complex values to real discards the imaginary part (function operator())
2022-11-23T02:34:18.9370889Z [       OK ] TensorTest.TorchTensorCastComplexToRealErrorChecks (2 ms)
2022-11-23T02:34:18.9371325Z [ RUN      ] TensorTest.TorchTensorCtorZeroSizedDim
2022-11-23T02:34:18.9381418Z [       OK ] TensorTest.TorchTensorCtorZeroSizedDim (1 ms)
2022-11-23T02:34:18.9381920Z [ RUN      ] TensorTest.TorchTensorCtorWithoutSpecifyingDtype
2022-11-23T02:34:18.9387831Z [       OK ] TensorTest.TorchTensorCtorWithoutSpecifyingDtype (0 ms)
2022-11-23T02:34:18.9388330Z [ RUN      ] TensorTest.TorchTensorCtorWithNonDtypeOptions
2022-11-23T02:34:18.9394174Z [       OK ] TensorTest.TorchTensorCtorWithNonDtypeOptions (0 ms)
2022-11-23T02:34:18.9394591Z [ RUN      ] TensorTest.Arange
2022-11-23T02:34:18.9395590Z [       OK ] TensorTest.Arange (0 ms)
2022-11-23T02:34:18.9395956Z [ RUN      ] TensorTest.PrettyPrintTensorDataContainer
2022-11-23T02:34:18.9398358Z [       OK ] TensorTest.PrettyPrintTensorDataContainer (0 ms)
2022-11-23T02:34:18.9398812Z [ RUN      ] TensorTest.TensorDataContainerCallingAccessorOfWrongType
2022-11-23T02:34:18.9540274Z [       OK ] TensorTest.TensorDataContainerCallingAccessorOfWrongType (14 ms)
2022-11-23T02:34:18.9540828Z [ RUN      ] TensorTest.FromBlob
2022-11-23T02:34:18.9541407Z [       OK ] TensorTest.FromBlob (0 ms)
2022-11-23T02:34:18.9541802Z [ RUN      ] TensorTest.FromBlobUsesDeleter
2022-11-23T02:34:18.9542168Z [       OK ] TensorTest.FromBlobUsesDeleter (0 ms)
2022-11-23T02:34:18.9542489Z [ RUN      ] TensorTest.FromBlobWithStrides
2022-11-23T02:34:18.9545254Z [       OK ] TensorTest.FromBlobWithStrides (0 ms)
2022-11-23T02:34:18.9545763Z [ RUN      ] TensorTest.Item
2022-11-23T02:34:18.9546265Z [       OK ] TensorTest.Item (0 ms)
2022-11-23T02:34:18.9546651Z [ RUN      ] TensorTest.DataPtr
2022-11-23T02:34:18.9546963Z [       OK ] TensorTest.DataPtr (0 ms)
2022-11-23T02:34:18.9547295Z [ RUN      ] TensorTest.Data
2022-11-23T02:34:18.9547784Z [       OK ] TensorTest.Data (0 ms)
2022-11-23T02:34:18.9548246Z [ RUN      ] TensorTest.BackwardAndGrad
2022-11-23T02:34:18.9551945Z [       OK ] TensorTest.BackwardAndGrad (0 ms)
2022-11-23T02:34:18.9552524Z [ RUN      ] TensorTest.BackwardCreatesOnesGrad
2022-11-23T02:34:18.9554516Z [       OK ] TensorTest.BackwardCreatesOnesGrad (0 ms)
2022-11-23T02:34:18.9555102Z [ RUN      ] TensorTest.BackwardNonScalarOutputs
2022-11-23T02:34:18.9611270Z [       OK ] TensorTest.BackwardNonScalarOutputs (5 ms)
2022-11-23T02:34:18.9611804Z [ RUN      ] TensorTest.IsLeaf
2022-11-23T02:34:18.9612453Z [       OK ] TensorTest.IsLeaf (0 ms)
2022-11-23T02:34:18.9612944Z [ RUN      ] TensorTest.OutputNr
2022-11-23T02:34:18.9613784Z [       OK ] TensorTest.OutputNr (0 ms)
2022-11-23T02:34:18.9614295Z [ RUN      ] TensorTest.Version
2022-11-23T02:34:18.9615892Z [       OK ] TensorTest.Version (0 ms)
2022-11-23T02:34:18.9616394Z [ RUN      ] TensorTest.Detach
2022-11-23T02:34:18.9617463Z [       OK ] TensorTest.Detach (0 ms)
2022-11-23T02:34:18.9618000Z [ RUN      ] TensorTest.DetachInplace
2022-11-23T02:34:18.9618863Z [       OK ] TensorTest.DetachInplace (0 ms)
2022-11-23T02:34:18.9619387Z [ RUN      ] TensorTest.SetData
2022-11-23T02:34:18.9620144Z [       OK ] TensorTest.SetData (0 ms)
2022-11-23T02:34:18.9620695Z [ RUN      ] TensorTest.RequiresGradInplace
2022-11-23T02:34:18.9673753Z [       OK ] TensorTest.RequiresGradInplace (5 ms)
2022-11-23T02:34:18.9674311Z [ RUN      ] TensorTest.StdDimension
2022-11-23T02:34:18.9681206Z [       OK ] TensorTest.StdDimension (0 ms)
2022-11-23T02:34:18.9681732Z [ RUN      ] TensorTest.ReshapeAlias
2022-11-23T02:34:18.9694935Z [       OK ] TensorTest.ReshapeAlias (1 ms)
2022-11-23T02:34:18.9695516Z [----------] 45 tests from TensorTest (75 ms total)
2022-11-23T02:34:18.9695807Z 
2022-11-23T02:34:18.9695972Z [----------] 36 tests from TensorIndexingTest
2022-11-23T02:34:18.9696267Z [ RUN      ] TensorIndexingTest.Slice
2022-11-23T02:34:18.9696573Z [       OK ] TensorIndexingTest.Slice (0 ms)
2022-11-23T02:34:18.9696884Z [ RUN      ] TensorIndexingTest.TensorIndex
2022-11-23T02:34:18.9723087Z [       OK ] TensorIndexingTest.TensorIndex (2 ms)
2022-11-23T02:34:18.9723516Z [ RUN      ] TensorIndexingTest.TestNoIndices
2022-11-23T02:34:18.9906824Z [       OK ] TensorIndexingTest.TestNoIndices (18 ms)
2022-11-23T02:34:18.9907254Z [ RUN      ] TensorIndexingTest.TestAdvancedIndexingWithListOfTensor
2022-11-23T02:34:18.9914199Z [       OK ] TensorIndexingTest.TestAdvancedIndexingWithListOfTensor (0 ms)
2022-11-23T02:34:18.9914788Z [ RUN      ] TensorIndexingTest.TestSingleInt
2022-11-23T02:34:18.9915413Z [       OK ] TensorIndexingTest.TestSingleInt (0 ms)
2022-11-23T02:34:18.9915747Z [ RUN      ] TensorIndexingTest.TestMultipleInt
2022-11-23T02:34:18.9918093Z [       OK ] TensorIndexingTest.TestMultipleInt (0 ms)
2022-11-23T02:34:18.9918489Z [ RUN      ] TensorIndexingTest.TestNone
2022-11-23T02:34:18.9920002Z [       OK ] TensorIndexingTest.TestNone (0 ms)
2022-11-23T02:34:18.9920329Z [ RUN      ] TensorIndexingTest.TestStep
2022-11-23T02:34:18.9927155Z [       OK ] TensorIndexingTest.TestStep (0 ms)
2022-11-23T02:34:18.9927505Z [ RUN      ] TensorIndexingTest.TestStepAssignment
2022-11-23T02:34:18.9934810Z [       OK ] TensorIndexingTest.TestStepAssignment (0 ms)
2022-11-23T02:34:18.9935174Z [ RUN      ] TensorIndexingTest.TestBoolIndices
2022-11-23T02:34:18.9949212Z [       OK ] TensorIndexingTest.TestBoolIndices (1 ms)
2022-11-23T02:34:18.9949606Z [ RUN      ] TensorIndexingTest.TestBoolIndicesAccumulate
2022-11-23T02:34:18.9953523Z [       OK ] TensorIndexingTest.TestBoolIndicesAccumulate (0 ms)
2022-11-23T02:34:18.9953933Z [ RUN      ] TensorIndexingTest.TestMultipleBoolIndices
2022-11-23T02:34:18.9957571Z [       OK ] TensorIndexingTest.TestMultipleBoolIndices (0 ms)
2022-11-23T02:34:18.9957928Z [ RUN      ] TensorIndexingTest.TestByteMask
2022-11-23T02:34:18.9965386Z [       OK ] TensorIndexingTest.TestByteMask (0 ms)
2022-11-23T02:34:18.9965777Z [ RUN      ] TensorIndexingTest.TestByteMaskAccumulate
2022-11-23T02:34:18.9970003Z [       OK ] TensorIndexingTest.TestByteMaskAccumulate (0 ms)
2022-11-23T02:34:18.9970407Z [ RUN      ] TensorIndexingTest.TestMultipleByteMask
2022-11-23T02:34:18.9973912Z [       OK ] TensorIndexingTest.TestMultipleByteMask (0 ms)
2022-11-23T02:34:18.9974307Z [ RUN      ] TensorIndexingTest.TestByteMask2d
2022-11-23T02:34:18.9977980Z [       OK ] TensorIndexingTest.TestByteMask2d (0 ms)
2022-11-23T02:34:18.9978337Z [ RUN      ] TensorIndexingTest.TestIntIndices
2022-11-23T02:34:18.9982849Z [       OK ] TensorIndexingTest.TestIntIndices (0 ms)
2022-11-23T02:34:18.9983296Z [ RUN      ] TensorIndexingTest.TestIntIndices2d
2022-11-23T02:34:18.9988000Z [       OK ] TensorIndexingTest.TestIntIndices2d (0 ms)
2022-11-23T02:34:18.9988395Z [ RUN      ] TensorIndexingTest.TestIntIndicesBroadcast
2022-11-23T02:34:18.9992480Z [       OK ] TensorIndexingTest.TestIntIndicesBroadcast (0 ms)
2022-11-23T02:34:18.9992872Z [ RUN      ] TensorIndexingTest.TestEmptyIndex
2022-11-23T02:34:18.9996896Z [       OK ] TensorIndexingTest.TestEmptyIndex (0 ms)
2022-11-23T02:34:18.9997408Z [ RUN      ] TensorIndexingTest.TestEmptyNdimIndex
2022-11-23T02:34:19.0109802Z [       OK ] TensorIndexingTest.TestEmptyNdimIndex (11 ms)
2022-11-23T02:34:19.0110192Z [ RUN      ] TensorIndexingTest.TestEmptyNdimIndexBool
2022-11-23T02:34:19.0155219Z [       OK ] TensorIndexingTest.TestEmptyNdimIndexBool (4 ms)
2022-11-23T02:34:19.0155848Z [ RUN      ] TensorIndexingTest.TestEmptySlice
2022-11-23T02:34:19.0156662Z [       OK ] TensorIndexingTest.TestEmptySlice (0 ms)
2022-11-23T02:34:19.0157054Z [ RUN      ] TensorIndexingTest.TestIndexGetitemCopyBoolsSlices
2022-11-23T02:34:19.0164639Z [       OK ] TensorIndexingTest.TestIndexGetitemCopyBoolsSlices (0 ms)
2022-11-23T02:34:19.0165073Z [ RUN      ] TensorIndexingTest.TestIndexSetitemBoolsSlices
2022-11-23T02:34:19.0360268Z [       OK ] TensorIndexingTest.TestIndexSetitemBoolsSlices (19 ms)
2022-11-23T02:34:19.0360713Z [ RUN      ] TensorIndexingTest.TestIndexScalarWithBoolMask
2022-11-23T02:34:19.0369140Z [       OK ] TensorIndexingTest.TestIndexScalarWithBoolMask (0 ms)
2022-11-23T02:34:19.0369727Z [ RUN      ] TensorIndexingTest.TestSetitemExpansionError
2022-11-23T02:34:19.0698362Z [       OK ] TensorIndexingTest.TestSetitemExpansionError (32 ms)
2022-11-23T02:34:19.0698862Z [ RUN      ] TensorIndexingTest.TestGetitemScalars
2022-11-23T02:34:19.0928673Z [       OK ] TensorIndexingTest.TestGetitemScalars (23 ms)
2022-11-23T02:34:19.0929281Z [ RUN      ] TensorIndexingTest.TestSetitemScalars
2022-11-23T02:34:19.1166067Z [       OK ] TensorIndexingTest.TestSetitemScalars (23 ms)
2022-11-23T02:34:19.1166508Z [ RUN      ] TensorIndexingTest.TestBasicAdvancedCombined
2022-11-23T02:34:19.1177108Z [       OK ] TensorIndexingTest.TestBasicAdvancedCombined (1 ms)
2022-11-23T02:34:19.1177638Z [ RUN      ] TensorIndexingTest.TestIntAssignment
2022-11-23T02:34:19.1183076Z [       OK ] TensorIndexingTest.TestIntAssignment (0 ms)
2022-11-23T02:34:19.1183518Z [ RUN      ] TensorIndexingTest.TestByteTensorAssignment
2022-11-23T02:34:19.1194661Z [       OK ] TensorIndexingTest.TestByteTensorAssignment (1 ms)
2022-11-23T02:34:19.1195092Z [ RUN      ] TensorIndexingTest.TestVariableSlicing
2022-11-23T02:34:19.1197657Z [       OK ] TensorIndexingTest.TestVariableSlicing (0 ms)
2022-11-23T02:34:19.1198060Z [ RUN      ] TensorIndexingTest.TestEllipsisTensor
2022-11-23T02:34:19.1204210Z [       OK ] TensorIndexingTest.TestEllipsisTensor (0 ms)
2022-11-23T02:34:19.1204580Z [ RUN      ] TensorIndexingTest.TestOutOfBoundIndex
2022-11-23T02:34:19.1424514Z [       OK ] TensorIndexingTest.TestOutOfBoundIndex (21 ms)
2022-11-23T02:34:19.1424901Z [ RUN      ] TensorIndexingTest.TestZeroDimIndex
2022-11-23T02:34:19.1476618Z [       OK ] TensorIndexingTest.TestZeroDimIndex (5 ms)
2022-11-23T02:34:19.1477477Z [----------] 36 tests from TensorIndexingTest (178 ms total)
2022-11-23T02:34:19.1477736Z 
2022-11-23T02:34:19.1477925Z [----------] 18 tests from NumpyTests
2022-11-23T02:34:19.1478222Z [ RUN      ] NumpyTests.TestNoneIndex
2022-11-23T02:34:19.1479009Z [       OK ] NumpyTests.TestNoneIndex (0 ms)
2022-11-23T02:34:19.1479327Z [ RUN      ] NumpyTests.TestEmptyFancyIndex
2022-11-23T02:34:19.1589275Z [       OK ] NumpyTests.TestEmptyFancyIndex (11 ms)
2022-11-23T02:34:19.1589597Z [ RUN      ] NumpyTests.TestEllipsisIndex
2022-11-23T02:34:19.1597841Z [       OK ] NumpyTests.TestEllipsisIndex (0 ms)
2022-11-23T02:34:19.1598162Z [ RUN      ] NumpyTests.TestSingleIntIndex
2022-11-23T02:34:19.1646865Z [       OK ] NumpyTests.TestSingleIntIndex (4 ms)
2022-11-23T02:34:19.1647180Z [ RUN      ] NumpyTests.TestSingleBoolIndex
2022-11-23T02:34:19.1652781Z [       OK ] NumpyTests.TestSingleBoolIndex (0 ms)
2022-11-23T02:34:19.1653156Z [ RUN      ] NumpyTests.TestBooleanShapeMismatch
2022-11-23T02:34:19.2109412Z [       OK ] NumpyTests.TestBooleanShapeMismatch (45 ms)
2022-11-23T02:34:19.2109786Z [ RUN      ] NumpyTests.TestBooleanIndexingOnedim
2022-11-23T02:34:19.2117292Z [       OK ] NumpyTests.TestBooleanIndexingOnedim (0 ms)
2022-11-23T02:34:19.2117765Z [ RUN      ] NumpyTests.TestBooleanAssignmentValueMismatch
2022-11-23T02:34:19.2710641Z [       OK ] NumpyTests.TestBooleanAssignmentValueMismatch (59 ms)
2022-11-23T02:34:19.2711296Z [ RUN      ] NumpyTests.TestBooleanIndexingTwodim
2022-11-23T02:34:19.2726942Z [       OK ] NumpyTests.TestBooleanIndexingTwodim (1 ms)
2022-11-23T02:34:19.2727581Z [ RUN      ] NumpyTests.TestBooleanIndexingWeirdness
2022-11-23T02:34:19.2973961Z [       OK ] NumpyTests.TestBooleanIndexingWeirdness (24 ms)
2022-11-23T02:34:19.2974623Z [ RUN      ] NumpyTests.TestBooleanIndexingWeirdnessTensors
2022-11-23T02:34:19.3202720Z [       OK ] NumpyTests.TestBooleanIndexingWeirdnessTensors (22 ms)
2022-11-23T02:34:19.3203368Z [ RUN      ] NumpyTests.TestBooleanIndexingAlldims
2022-11-23T02:34:19.3207334Z [       OK ] NumpyTests.TestBooleanIndexingAlldims (0 ms)
2022-11-23T02:34:19.3207935Z [ RUN      ] NumpyTests.TestBooleanListIndexing
2022-11-23T02:34:19.3221177Z [       OK ] NumpyTests.TestBooleanListIndexing (1 ms)
2022-11-23T02:34:19.3221935Z [ RUN      ] NumpyTests.TestEverythingReturnsViews
2022-11-23T02:34:19.3222811Z [       OK ] NumpyTests.TestEverythingReturnsViews (0 ms)
2022-11-23T02:34:19.3223338Z [ RUN      ] NumpyTests.TestBroaderrorsIndexing
2022-11-23T02:34:19.3856391Z [       OK ] NumpyTests.TestBroaderrorsIndexing (63 ms)
2022-11-23T02:34:19.3856996Z [ RUN      ] NumpyTests.TestTrivialFancyOutOfBounds
2022-11-23T02:34:19.4711831Z [       OK ] NumpyTests.TestTrivialFancyOutOfBounds (85 ms)
2022-11-23T02:34:19.4712400Z [ RUN      ] NumpyTests.TestIndexIsLarger
2022-11-23T02:34:19.4718663Z [       OK ] NumpyTests.TestIndexIsLarger (0 ms)
2022-11-23T02:34:19.4719226Z [ RUN      ] NumpyTests.TestBroadcastSubspace
2022-11-23T02:34:19.4738895Z [       OK ] NumpyTests.TestBroadcastSubspace (1 ms)
2022-11-23T02:34:19.4739470Z [----------] 18 tests from NumpyTests (326 ms total)
2022-11-23T02:34:19.4739699Z 
2022-11-23T02:34:19.4739969Z [----------] 5 tests from TensorOptionsTest
2022-11-23T02:34:19.4740519Z [ RUN      ] TensorOptionsTest.DefaultsToTheRightValues
2022-11-23T02:34:19.4741187Z [       OK ] TensorOptionsTest.DefaultsToTheRightValues (0 ms)
2022-11-23T02:34:19.4741960Z [ RUN      ] TensorOptionsTest.UtilityFunctionsReturnTheRightTensorOptions
2022-11-23T02:34:19.4742911Z [       OK ] TensorOptionsTest.UtilityFunctionsReturnTheRightTensorOptions (0 ms)
2022-11-23T02:34:19.4743740Z [ RUN      ] TensorOptionsTest.ConstructsWellFromCPUTypes
2022-11-23T02:34:19.4744460Z [       OK ] TensorOptionsTest.ConstructsWellFromCPUTypes (0 ms)
2022-11-23T02:34:19.4745209Z [ RUN      ] TensorOptionsTest.ConstructsWellFromCPUTensors
2022-11-23T02:34:19.4745985Z [       OK ] TensorOptionsTest.ConstructsWellFromCPUTensors (0 ms)
2022-11-23T02:34:19.4746707Z [ RUN      ] TensorOptionsTest.ConstructsWellFromVariables
2022-11-23T02:34:19.4747466Z [       OK ] TensorOptionsTest.ConstructsWellFromVariables (0 ms)
2022-11-23T02:34:19.4748145Z [----------] 5 tests from TensorOptionsTest (0 ms total)
2022-11-23T02:34:19.4748428Z 
2022-11-23T02:34:19.4748672Z [----------] 1 test from DeviceTest
2022-11-23T02:34:19.4749209Z [ RUN      ] DeviceTest.ParsesCorrectlyFromString
2022-11-23T02:34:19.4926907Z [       OK ] DeviceTest.ParsesCorrectlyFromString (18 ms)
2022-11-23T02:34:19.4927544Z [----------] 1 test from DeviceTest (18 ms total)
2022-11-23T02:34:19.4927776Z 
2022-11-23T02:34:19.4928048Z [----------] 3 tests from DefaultDtypeTest
2022-11-23T02:34:19.4928550Z [ RUN      ] DefaultDtypeTest.CanSetAndGetDefaultDtype
2022-11-23T02:34:19.4929181Z [       OK ] DefaultDtypeTest.CanSetAndGetDefaultDtype (0 ms)
2022-11-23T02:34:19.4929832Z [ RUN      ] DefaultDtypeTest.NewTensorOptionsHasCorrectDefault
2022-11-23T02:34:19.4930472Z [       OK ] DefaultDtypeTest.NewTensorOptionsHasCorrectDefault (0 ms)
2022-11-23T02:34:19.4931128Z [ RUN      ] DefaultDtypeTest.NewTensorsHaveCorrectDefaultDtype
2022-11-23T02:34:19.4931826Z [       OK ] DefaultDtypeTest.NewTensorsHaveCorrectDefaultDtype (0 ms)
2022-11-23T02:34:19.4932416Z [----------] 3 tests from DefaultDtypeTest (0 ms total)
2022-11-23T02:34:19.4932614Z 
2022-11-23T02:34:19.4932826Z [----------] 1 test from TorchIncludeTest
2022-11-23T02:34:19.4933266Z [ RUN      ] TorchIncludeTest.GetSetNumThreads
2022-11-23T02:34:19.4933769Z [       OK ] TorchIncludeTest.GetSetNumThreads (0 ms)
2022-11-23T02:34:19.4934328Z [----------] 1 test from TorchIncludeTest (0 ms total)
2022-11-23T02:34:19.4934879Z 
2022-11-23T02:34:19.4935163Z [----------] 28 tests from InferenceModeTest
2022-11-23T02:34:19.4935703Z [ RUN      ] InferenceModeTest.TestTLSState
2022-11-23T02:34:19.4936409Z [       OK ] InferenceModeTest.TestTLSState (0 ms)
2022-11-23T02:34:19.4937073Z [ RUN      ] InferenceModeTest.TestInferenceTensorCreation
2022-11-23T02:34:19.4937916Z [       OK ] InferenceModeTest.TestInferenceTensorCreation (0 ms)
2022-11-23T02:34:19.4938651Z [ RUN      ] InferenceModeTest.TestExistingAutogradSession
2022-11-23T02:34:19.5063691Z [       OK ] InferenceModeTest.TestExistingAutogradSession (13 ms)
2022-11-23T02:34:19.5064522Z [ RUN      ] InferenceModeTest.TestInferenceTensorInInferenceModeFunctionalOp
2022-11-23T02:34:19.5065412Z [       OK ] InferenceModeTest.TestInferenceTensorInInferenceModeFunctionalOp (0 ms)
2022-11-23T02:34:19.5066274Z [ RUN      ] InferenceModeTest.TestInferenceTensorInInferenceModeInplaceOp
2022-11-23T02:34:19.5067153Z [       OK ] InferenceModeTest.TestInferenceTensorInInferenceModeInplaceOp (0 ms)
2022-11-23T02:34:19.5067975Z [ RUN      ] InferenceModeTest.TestInferenceTensorInInferenceModeViewOp
2022-11-23T02:34:19.5068818Z [       OK ] InferenceModeTest.TestInferenceTensorInInferenceModeViewOp (0 ms)
2022-11-23T02:34:19.5069598Z [ RUN      ] InferenceModeTest.TestInferenceTensorInNormalModeFunctionalOp
2022-11-23T02:34:19.5070539Z [       OK ] InferenceModeTest.TestInferenceTensorInNormalModeFunctionalOp (0 ms)
2022-11-23T02:34:19.5071472Z [ RUN      ] InferenceModeTest.TestInferenceTensorInNormalModeInplaceOp
2022-11-23T02:34:19.5186692Z [       OK ] InferenceModeTest.TestInferenceTensorInNormalModeInplaceOp (11 ms)
2022-11-23T02:34:19.5187506Z [ RUN      ] InferenceModeTest.TestInferenceTensorInNormalModeViewOp
2022-11-23T02:34:19.5188263Z [       OK ] InferenceModeTest.TestInferenceTensorInNormalModeViewOp (0 ms)
2022-11-23T02:34:19.5189080Z [ RUN      ] InferenceModeTest.TestNormalTensorInplaceOutputInInferenceMode
2022-11-23T02:34:19.5192462Z [       OK ] InferenceModeTest.TestNormalTensorInplaceOutputInInferenceMode (0 ms)
2022-11-23T02:34:19.5193305Z [ RUN      ] InferenceModeTest.TestNormalTensorInplaceOutputInNormalMode
2022-11-23T02:34:19.5198253Z [       OK ] InferenceModeTest.TestNormalTensorInplaceOutputInNormalMode (0 ms)
2022-11-23T02:34:19.5199074Z [ RUN      ] InferenceModeTest.TestNormalTensorViewOutputInInferenceMode
2022-11-23T02:34:19.5202100Z [       OK ] InferenceModeTest.TestNormalTensorViewOutputInInferenceMode (0 ms)
2022-11-23T02:34:19.5202932Z [ RUN      ] InferenceModeTest.TestNormalTensorViewOutputInNormalMode
2022-11-23T02:34:19.5271441Z [       OK ] InferenceModeTest.TestNormalTensorViewOutputInNormalMode (6 ms)
2022-11-23T02:34:19.5272201Z [ RUN      ] InferenceModeTest.TestMixInferenceAndNormalTensorFunctionalOp
2022-11-23T02:34:19.5334314Z [       OK ] InferenceModeTest.TestMixInferenceAndNormalTensorFunctionalOp (6 ms)
2022-11-23T02:34:19.5335281Z [ RUN      ] InferenceModeTest.TestMixInferenceAndNormalTensorInplaceOp
2022-11-23T02:34:19.5531310Z [       OK ] InferenceModeTest.TestMixInferenceAndNormalTensorInplaceOp (19 ms)
2022-11-23T02:34:19.5532148Z [ RUN      ] InferenceModeTest.TestMixInferenceAndNormalTensorViewOp
2022-11-23T02:34:19.5532918Z [       OK ] InferenceModeTest.TestMixInferenceAndNormalTensorViewOp (0 ms)
2022-11-23T02:34:19.5533653Z [ RUN      ] InferenceModeTest.TestHandleDirectViewOnRebase
2022-11-23T02:34:19.5601524Z [       OK ] InferenceModeTest.TestHandleDirectViewOnRebase (6 ms)
2022-11-23T02:34:19.5602295Z [ RUN      ] InferenceModeTest.TestHandleInDirectViewOnRebase
2022-11-23T02:34:19.5645933Z [       OK ] InferenceModeTest.TestHandleInDirectViewOnRebase (4 ms)
2022-11-23T02:34:19.5647056Z [ RUN      ] InferenceModeTest.TestCreationMetaPropagation
2022-11-23T02:34:19.5774672Z [       OK ] InferenceModeTest.TestCreationMetaPropagation (12 ms)
2022-11-23T02:34:19.5775726Z [ RUN      ] InferenceModeTest.TestCreationMetaPropagationInput
2022-11-23T02:34:19.6029976Z [       OK ] InferenceModeTest.TestCreationMetaPropagationInput (25 ms)
2022-11-23T02:34:19.6030840Z [ RUN      ] InferenceModeTest.TestInplaceCopyOnInferenceTensor
2022-11-23T02:34:19.6239166Z [       OK ] InferenceModeTest.TestInplaceCopyOnInferenceTensor (20 ms)
2022-11-23T02:34:19.6240017Z [ RUN      ] InferenceModeTest.TestSetRequiresGradInNormalMode
2022-11-23T02:34:19.6263707Z [       OK ] InferenceModeTest.TestSetRequiresGradInNormalMode (2 ms)
2022-11-23T02:34:19.6264505Z [ RUN      ] InferenceModeTest.TestAccessVersionCounter
2022-11-23T02:34:19.6336193Z [       OK ] InferenceModeTest.TestAccessVersionCounter (7 ms)
2022-11-23T02:34:19.6337113Z [ RUN      ] InferenceModeTest.TestInplaceUpdateInferenceTensorWithNormalTensor
2022-11-23T02:34:19.6527383Z [       OK ] InferenceModeTest.TestInplaceUpdateInferenceTensorWithNormalTensor (19 ms)
2022-11-23T02:34:19.6527967Z [ RUN      ] InferenceModeTest.TestComplexViewInInferenceMode
2022-11-23T02:34:19.6528740Z [       OK ] InferenceModeTest.TestComplexViewInInferenceMode (0 ms)
2022-11-23T02:34:19.6529339Z [ RUN      ] InferenceModeTest.TestComplexViewInNormalMode
2022-11-23T02:34:19.6529755Z [       OK ] InferenceModeTest.TestComplexViewInNormalMode (0 ms)
2022-11-23T02:34:19.6530139Z [ RUN      ] InferenceModeTest.TestCustomFunction
2022-11-23T02:34:19.6536305Z [       OK ] InferenceModeTest.TestCustomFunction (0 ms)
2022-11-23T02:34:19.6537296Z [ RUN      ] InferenceModeTest.TestLegacyAutoNonVariableTypeModeWarning
2022-11-23T02:34:19.6538405Z [       OK ] InferenceModeTest.TestLegacyAutoNonVariableTypeModeWarning (0 ms)
2022-11-23T02:34:19.6539268Z [----------] 28 tests from InferenceModeTest (160 ms total)
2022-11-23T02:34:19.6539749Z 
2022-11-23T02:34:19.6540196Z [----------] 4 tests from GradModeTest
2022-11-23T02:34:19.6540842Z [ RUN      ] GradModeTest.TestRequiresGradFunctionalOp
2022-11-23T02:34:19.6541355Z [       OK ] GradModeTest.TestRequiresGradFunctionalOp (0 ms)
2022-11-23T02:34:19.6541735Z [ RUN      ] GradModeTest.TestRequiresGradInplaceOp
2022-11-23T02:34:19.6542222Z [       OK ] GradModeTest.TestRequiresGradInplaceOp (0 ms)
2022-11-23T02:34:19.6542612Z [ RUN      ] GradModeTest.TestRequiresGradViewOp
2022-11-23T02:34:19.6542970Z [       OK ] GradModeTest.TestRequiresGradViewOp (0 ms)
2022-11-23T02:34:19.6543325Z [ RUN      ] GradModeTest.TestRequiresGradViewOpExiting
2022-11-23T02:34:19.6611656Z [       OK ] GradModeTest.TestRequiresGradViewOpExiting (6 ms)
2022-11-23T02:34:19.6612044Z [----------] 4 tests from GradModeTest (7 ms total)
2022-11-23T02:34:19.6612202Z 
2022-11-23T02:34:19.6612353Z [----------] 3 tests from OperationTest
2022-11-23T02:34:19.6612613Z [ RUN      ] OperationTest.Lerp
2022-11-23T02:34:19.6696046Z [       OK ] OperationTest.Lerp (8 ms)
2022-11-23T02:34:19.6696372Z [ RUN      ] OperationTest.Cross
2022-11-23T02:34:19.6990190Z [       OK ] OperationTest.Cross (29 ms)
2022-11-23T02:34:19.6990550Z [ RUN      ] OperationTest.Linear_out
2022-11-23T02:34:19.7009031Z [       OK ] OperationTest.Linear_out (1 ms)
2022-11-23T02:34:19.7009641Z [----------] 3 tests from OperationTest (39 ms total)
2022-11-23T02:34:19.7009868Z 
2022-11-23T02:34:19.7010024Z [----------] Global test environment tear-down
2022-11-23T02:34:19.7492768Z [==========] 992 tests from 48 test suites ran. (353236 ms total)
2022-11-23T02:34:19.7493254Z [  PASSED  ] 992 tests.
2022-11-23T02:34:20.2455159Z + /opt/conda/lib/python3.7/site-packages/torch/bin/test_tensorexpr --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/test_tensorexpr.xml
2022-11-23T02:34:22.4165870Z CUDA not available. Disabling CUDA and MultiCUDA tests
2022-11-23T02:34:22.4178117Z Note: Google Test filter = *-*_CUDA:*_MultiCUDA
2022-11-23T02:34:22.4178738Z [==========] Running 647 tests from 23 test suites.
2022-11-23T02:34:22.4179096Z [----------] Global test environment set-up.
2022-11-23T02:34:22.4179358Z [----------] 34 tests from ATen
2022-11-23T02:34:22.4179601Z [ RUN      ] ATen._cast_Float
2022-11-23T02:34:22.4440014Z [       OK ] ATen._cast_Float (25 ms)
2022-11-23T02:34:22.4498808Z [ RUN      ] ATen.negInt
2022-11-23T02:34:22.4499278Z [       OK ] ATen.negInt (5 ms)
2022-11-23T02:34:22.4543484Z [ RUN      ] ATen.negFloat
2022-11-23T02:34:22.4543984Z [       OK ] ATen.negFloat (4 ms)
2022-11-23T02:34:22.4544307Z [ RUN      ] ATen.addInt
2022-11-23T02:34:22.4623870Z [       OK ] ATen.addInt (8 ms)
2022-11-23T02:34:22.4624126Z [ RUN      ] ATen.addFloat
2022-11-23T02:34:22.4697531Z [       OK ] ATen.addFloat (7 ms)
2022-11-23T02:34:22.4697790Z [ RUN      ] ATen.subInt
2022-11-23T02:34:22.4767688Z [       OK ] ATen.subInt (7 ms)
2022-11-23T02:34:22.4767929Z [ RUN      ] ATen.subFloat
2022-11-23T02:34:22.4839750Z [       OK ] ATen.subFloat (7 ms)
2022-11-23T02:34:22.4840009Z [ RUN      ] ATen.lerp
2022-11-23T02:34:22.4932451Z [       OK ] ATen.lerp (9 ms)
2022-11-23T02:34:22.4932692Z [ RUN      ] ATen.addcmulInt
2022-11-23T02:34:22.5024809Z [       OK ] ATen.addcmulInt (9 ms)
2022-11-23T02:34:22.5025088Z [ RUN      ] ATen.addcmulFloat
2022-11-23T02:34:22.5117994Z [       OK ] ATen.addcmulFloat (9 ms)
2022-11-23T02:34:22.5118270Z [ RUN      ] ATen.mulInt
2022-11-23T02:34:22.5168157Z [       OK ] ATen.mulInt (5 ms)
2022-11-23T02:34:22.5168405Z [ RUN      ] ATen.mulFloat
2022-11-23T02:34:22.5219694Z [       OK ] ATen.mulFloat (5 ms)
2022-11-23T02:34:22.5219955Z [ RUN      ] ATen.divInt
2022-11-23T02:34:22.5271011Z [       OK ] ATen.divInt (5 ms)
2022-11-23T02:34:22.5271248Z [ RUN      ] ATen.divFloat
2022-11-23T02:34:22.5321465Z [       OK ] ATen.divFloat (5 ms)
2022-11-23T02:34:22.5321717Z [ RUN      ] ATen.maxInt
2022-11-23T02:34:22.5371560Z [       OK ] ATen.maxInt (4 ms)
2022-11-23T02:34:22.5372027Z [ RUN      ] ATen.maxFloat
2022-11-23T02:34:22.5422181Z [       OK ] ATen.maxFloat (5 ms)
2022-11-23T02:34:22.5422638Z [ RUN      ] ATen.minInt
2022-11-23T02:34:22.5472196Z [       OK ] ATen.minInt (4 ms)
2022-11-23T02:34:22.5472495Z [ RUN      ] ATen.minFloat
2022-11-23T02:34:22.5522800Z [       OK ] ATen.minFloat (5 ms)
2022-11-23T02:34:22.5523248Z [ RUN      ] ATen.reluInt
2022-11-23T02:34:22.5561484Z [       OK ] ATen.reluInt (3 ms)
2022-11-23T02:34:22.5561775Z [ RUN      ] ATen.reluFloat
2022-11-23T02:34:22.5607963Z [       OK ] ATen.reluFloat (4 ms)
2022-11-23T02:34:22.5608231Z [ RUN      ] ATen.logFloat
2022-11-23T02:34:22.5647421Z [       OK ] ATen.logFloat (3 ms)
2022-11-23T02:34:22.5647688Z [ RUN      ] ATen.fastLogFloat
2022-11-23T02:34:22.8265917Z [       OK ] ATen.fastLogFloat (261 ms)
2022-11-23T02:34:22.8266207Z [ RUN      ] ATen.fastTanhFloat
2022-11-23T02:34:22.9147678Z [       OK ] ATen.fastTanhFloat (88 ms)
2022-11-23T02:34:23.0294151Z [ RUN      ] ATen.fastSigmoidFloat
2022-11-23T02:34:23.0294439Z [       OK ] ATen.fastSigmoidFloat (114 ms)
2022-11-23T02:34:23.0294709Z [ RUN      ] ATen.log10Float
2022-11-23T02:34:23.0333019Z [       OK ] ATen.log10Float (3 ms)
2022-11-23T02:34:23.0333275Z [ RUN      ] ATen.log2Float
2022-11-23T02:34:23.0375488Z [       OK ] ATen.log2Float (4 ms)
2022-11-23T02:34:23.0375753Z [ RUN      ] ATen.expFloat
2022-11-23T02:34:23.0413775Z [       OK ] ATen.expFloat (3 ms)
2022-11-23T02:34:23.0414028Z [ RUN      ] ATen.erfFloat
2022-11-23T02:34:23.0451667Z [       OK ] ATen.erfFloat (3 ms)
2022-11-23T02:34:23.0451920Z [ RUN      ] ATen.cosFloat
2022-11-23T02:34:23.0490498Z [       OK ] ATen.cosFloat (3 ms)
2022-11-23T02:34:23.0490750Z [ RUN      ] ATen.eqInt
2022-11-23T02:34:23.0562522Z [       OK ] ATen.eqInt (7 ms)
2022-11-23T02:34:23.0562768Z [ RUN      ] ATen.geInt
2022-11-23T02:34:23.0620801Z [       OK ] ATen.geInt (5 ms)
2022-11-23T02:34:23.0621100Z [ RUN      ] ATen.gtInt
2022-11-23T02:34:23.0678059Z [       OK ] ATen.gtInt (5 ms)
2022-11-23T02:34:23.0678493Z [ RUN      ] ATen.leInt
2022-11-23T02:34:23.0735023Z [       OK ] ATen.leInt (5 ms)
2022-11-23T02:34:23.0735462Z [ RUN      ] ATen.ltInt
2022-11-23T02:34:23.0792144Z [       OK ] ATen.ltInt (5 ms)
2022-11-23T02:34:23.0792702Z [----------] 34 tests from ATen (661 ms total)
2022-11-23T02:34:23.0792947Z 
2022-11-23T02:34:23.0793107Z [----------] 26 tests from BoundsInference
2022-11-23T02:34:23.0793379Z [ RUN      ] BoundsInference._1
2022-11-23T02:34:23.1009566Z [       OK ] BoundsInference._1 (21 ms)
2022-11-23T02:34:23.1009842Z [ RUN      ] BoundsInference._2
2022-11-23T02:34:23.1059603Z [       OK ] BoundsInference._2 (5 ms)
2022-11-23T02:34:23.1059903Z [ RUN      ] BoundsInference._3
2022-11-23T02:34:23.1095175Z [       OK ] BoundsInference._3 (3 ms)
2022-11-23T02:34:23.1095455Z [ RUN      ] BoundsInference._4
2022-11-23T02:34:23.1187342Z [       OK ] BoundsInference._4 (9 ms)
2022-11-23T02:34:23.1187600Z [ RUN      ] BoundsInference._5
2022-11-23T02:34:23.1407963Z [       OK ] BoundsInference._5 (22 ms)
2022-11-23T02:34:23.1408241Z [ RUN      ] BoundsInference._6
2022-11-23T02:34:23.1535922Z [       OK ] BoundsInference._6 (12 ms)
2022-11-23T02:34:23.1536204Z [ RUN      ] BoundsInference.Adjacent
2022-11-23T02:34:23.1613305Z [       OK ] BoundsInference.Adjacent (7 ms)
2022-11-23T02:34:23.1613719Z [ RUN      ] BoundsInference.MultipleTopLoopLoad
2022-11-23T02:34:23.1677594Z [       OK ] BoundsInference.MultipleTopLoopLoad (6 ms)
2022-11-23T02:34:23.1677989Z [ RUN      ] BoundsInference.MultipleTopLoopStore
2022-11-23T02:34:23.1738166Z [       OK ] BoundsInference.MultipleTopLoopStore (6 ms)
2022-11-23T02:34:23.1738506Z [ RUN      ] BoundsInference.CacheReads
2022-11-23T02:34:23.2113712Z [       OK ] BoundsInference.CacheReads (37 ms)
2022-11-23T02:34:23.2114044Z [ RUN      ] BoundsInference.Flattened
2022-11-23T02:34:23.2291824Z [       OK ] BoundsInference.Flattened (17 ms)
2022-11-23T02:34:23.2292216Z [ RUN      ] BoundsInference.GetPotentialHazards
2022-11-23T02:34:23.2308564Z [       OK ] BoundsInference.GetPotentialHazards (1 ms)
2022-11-23T02:34:23.2309032Z [ RUN      ] BoundsInference.GetPotentialHazardsLoopNoHazard
2022-11-23T02:34:23.2356462Z [       OK ] BoundsInference.GetPotentialHazardsLoopNoHazard (4 ms)
2022-11-23T02:34:23.2356876Z [ RUN      ] BoundsInference.GetPotentialHazardsLoopCall
2022-11-23T02:34:23.2419724Z [       OK ] BoundsInference.GetPotentialHazardsLoopCall (6 ms)
2022-11-23T02:34:23.2420171Z [ RUN      ] BoundsInference.GetPotentialHazardsLoopSplit
2022-11-23T02:34:23.2585757Z [       OK ] BoundsInference.GetPotentialHazardsLoopSplit (16 ms)
2022-11-23T02:34:23.2586531Z [ RUN      ] BoundsInference.HasConflictingOverlapSameBufferWithPartialOverlap
2022-11-23T02:34:23.2660089Z [       OK ] BoundsInference.HasConflictingOverlapSameBufferWithPartialOverlap (7 ms)
2022-11-23T02:34:23.2660645Z [ RUN      ] BoundsInference.HasConflictingOverlapSameBufferWithFullOverlap
2022-11-23T02:34:23.2684372Z [       OK ] BoundsInference.HasConflictingOverlapSameBufferWithFullOverlap (2 ms)
2022-11-23T02:34:23.2684925Z [ RUN      ] BoundsInference.HasConflictingOverlapSameBufferWithFullOverlapRAW
2022-11-23T02:34:23.2712658Z [       OK ] BoundsInference.HasConflictingOverlapSameBufferWithFullOverlapRAW (2 ms)
2022-11-23T02:34:23.2713207Z [ RUN      ] BoundsInference.HasConflictingOverlapSameBufferNotOverlapping
2022-11-23T02:34:23.2755215Z [       OK ] BoundsInference.HasConflictingOverlapSameBufferNotOverlapping (4 ms)
2022-11-23T02:34:23.2755723Z [ RUN      ] BoundsInference.HasConflictingOverlap2DBufferWithOverlap
2022-11-23T02:34:23.2974048Z [       OK ] BoundsInference.HasConflictingOverlap2DBufferWithOverlap (21 ms)
2022-11-23T02:34:23.2974582Z [ RUN      ] BoundsInference.HasConflictingOverlap2DBufferWithNoOverlap
2022-11-23T02:34:23.3132526Z [       OK ] BoundsInference.HasConflictingOverlap2DBufferWithNoOverlap (15 ms)
2022-11-23T02:34:23.3133013Z [ RUN      ] BoundsInference.HasConflictingOverlapDifferentBuffers
2022-11-23T02:34:23.3171354Z [       OK ] BoundsInference.HasConflictingOverlapDifferentBuffers (3 ms)
2022-11-23T02:34:23.3171839Z [ RUN      ] BoundsInference.HasConflictingOverlapDueToRAWDependence
2022-11-23T02:34:23.3211656Z [       OK ] BoundsInference.HasConflictingOverlapDueToRAWDependence (4 ms)
2022-11-23T02:34:23.3212149Z [ RUN      ] BoundsInference.HasConflictingOverlapDueToWARDependence
2022-11-23T02:34:23.3249588Z [       OK ] BoundsInference.HasConflictingOverlapDueToWARDependence (3 ms)
2022-11-23T02:34:23.3250050Z [ RUN      ] BoundsInference.HasConflictingOverlapWithLoads
2022-11-23T02:34:23.3286690Z [       OK ] BoundsInference.HasConflictingOverlapWithLoads (3 ms)
2022-11-23T02:34:23.3287066Z [ RUN      ] BoundsInference.IsOverlapping
2022-11-23T02:34:23.3615598Z [       OK ] BoundsInference.IsOverlapping (32 ms)
2022-11-23T02:34:23.3616003Z [----------] 26 tests from BoundsInference (282 ms total)
2022-11-23T02:34:23.3616153Z 
2022-11-23T02:34:23.3616286Z [----------] 1 test from Conv
2022-11-23T02:34:23.3616530Z [ RUN      ] Conv.Conv2D
2022-11-23T02:34:40.0615406Z [       OK ] Conv.Conv2D (16699 ms)
2022-11-23T02:34:40.0615921Z [----------] 1 test from Conv (16699 ms total)
2022-11-23T02:34:40.0616111Z 
2022-11-23T02:34:40.0617109Z [----------] 28 tests from CppPrinter
2022-11-23T02:34:40.0617641Z [ RUN      ] CppPrinter.IntImm
2022-11-23T02:34:40.0618153Z [       OK ] CppPrinter.IntImm (0 ms)
2022-11-23T02:34:40.0618507Z [ RUN      ] CppPrinter.FloatImm
2022-11-23T02:34:40.0618969Z [       OK ] CppPrinter.FloatImm (0 ms)
2022-11-23T02:34:40.0619484Z [ RUN      ] CppPrinter.FloatImm1
2022-11-23T02:34:40.0619955Z [       OK ] CppPrinter.FloatImm1 (0 ms)
2022-11-23T02:34:40.0620333Z [ RUN      ] CppPrinter.DoubleImm
2022-11-23T02:34:40.0620718Z [       OK ] CppPrinter.DoubleImm (0 ms)
2022-11-23T02:34:40.0621128Z [ RUN      ] CppPrinter.DoubleImm1
2022-11-23T02:34:40.0621476Z [       OK ] CppPrinter.DoubleImm1 (0 ms)
2022-11-23T02:34:40.0621799Z [ RUN      ] CppPrinter.HalfImm
2022-11-23T02:34:40.0622187Z [       OK ] CppPrinter.HalfImm (0 ms)
2022-11-23T02:34:40.0622455Z [ RUN      ] CppPrinter.Add
2022-11-23T02:34:40.0622832Z [       OK ] CppPrinter.Add (0 ms)
2022-11-23T02:34:40.0623121Z [ RUN      ] CppPrinter.AddExpr1
2022-11-23T02:34:40.0623774Z [       OK ] CppPrinter.AddExpr1 (0 ms)
2022-11-23T02:34:40.0624055Z [ RUN      ] CppPrinter.AddExpr2
2022-11-23T02:34:40.0624335Z [       OK ] CppPrinter.AddExpr2 (0 ms)
2022-11-23T02:34:40.0624613Z [ RUN      ] CppPrinter.AddExpr3
2022-11-23T02:34:40.0624946Z [       OK ] CppPrinter.AddExpr3 (0 ms)
2022-11-23T02:34:40.0625206Z [ RUN      ] CppPrinter.Mod
2022-11-23T02:34:40.0625464Z [       OK ] CppPrinter.Mod (0 ms)
2022-11-23T02:34:40.0625715Z [ RUN      ] CppPrinter.ModFloat
2022-11-23T02:34:40.0625989Z [       OK ] CppPrinter.ModFloat (0 ms)
2022-11-23T02:34:40.0626382Z [ RUN      ] CppPrinter.Max
2022-11-23T02:34:40.0626666Z [       OK ] CppPrinter.Max (0 ms)
2022-11-23T02:34:40.0626928Z [ RUN      ] CppPrinter.MaxFloat
2022-11-23T02:34:40.0627263Z [       OK ] CppPrinter.MaxFloat (0 ms)
2022-11-23T02:34:40.0627597Z [ RUN      ] CppPrinter.MaxHalf
2022-11-23T02:34:40.0628017Z [       OK ] CppPrinter.MaxHalf (0 ms)
2022-11-23T02:34:40.0628345Z [ RUN      ] CppPrinter.And
2022-11-23T02:34:40.0628749Z [       OK ] CppPrinter.And (0 ms)
2022-11-23T02:34:40.0629142Z [ RUN      ] CppPrinter.CompareSelect
2022-11-23T02:34:40.0629536Z [       OK ] CppPrinter.CompareSelect (0 ms)
2022-11-23T02:34:40.0629932Z [ RUN      ] CppPrinter.IfThenElse
2022-11-23T02:34:40.0630276Z [       OK ] CppPrinter.IfThenElse (0 ms)
2022-11-23T02:34:40.0630680Z [ RUN      ] CppPrinter.AllocateFree
2022-11-23T02:34:40.0631033Z [       OK ] CppPrinter.AllocateFree (0 ms)
2022-11-23T02:34:40.0631379Z [ RUN      ] CppPrinter.LoadStore
2022-11-23T02:34:40.0631663Z [       OK ] CppPrinter.LoadStore (0 ms)
2022-11-23T02:34:40.0631927Z [ RUN      ] CppPrinter.Var
2022-11-23T02:34:40.0632172Z [       OK ] CppPrinter.Var (0 ms)
2022-11-23T02:34:40.0632430Z [ RUN      ] CppPrinter.Cast
2022-11-23T02:34:40.0632699Z [       OK ] CppPrinter.Cast (0 ms)
2022-11-23T02:34:40.0633059Z [ RUN      ] CppPrinter.BitCast
2022-11-23T02:34:40.0633365Z [       OK ] CppPrinter.BitCast (0 ms)
2022-11-23T02:34:40.0633625Z [ RUN      ] CppPrinter.Let
2022-11-23T02:34:40.0633986Z [       OK ] CppPrinter.Let (0 ms)
2022-11-23T02:34:40.0634248Z [ RUN      ] CppPrinter.For
2022-11-23T02:34:40.0634510Z [       OK ] CppPrinter.For (0 ms)
2022-11-23T02:34:40.0634765Z [ RUN      ] CppPrinter.Cond
2022-11-23T02:34:40.0637618Z [       OK ] CppPrinter.Cond (0 ms)
2022-11-23T02:34:40.0637904Z [ RUN      ] CppPrinter.Intrinsics
2022-11-23T02:34:40.0639755Z [       OK ] CppPrinter.Intrinsics (0 ms)
2022-11-23T02:34:40.0640059Z [ RUN      ] CppPrinter.ExternalCall
2022-11-23T02:34:40.0644532Z [       OK ] CppPrinter.ExternalCall (0 ms)
2022-11-23T02:34:40.0645042Z [----------] 28 tests from CppPrinter (3 ms total)
2022-11-23T02:34:40.0645291Z 
2022-11-23T02:34:40.0645533Z [----------] 8 tests from DynamicShapes
2022-11-23T02:34:40.0645960Z [ RUN      ] DynamicShapes.SimpleGraph
2022-11-23T02:34:40.0646425Z [       OK ] DynamicShapes.SimpleGraph (0 ms)
2022-11-23T02:34:40.0647401Z [ RUN      ] DynamicShapes.GraphWith2InputsSameDims
2022-11-23T02:34:40.0647841Z [       OK ] DynamicShapes.GraphWith2InputsSameDims (0 ms)
2022-11-23T02:34:40.0648224Z [ RUN      ] DynamicShapes.GraphWith2InputsAndBroadcast
2022-11-23T02:34:40.0658560Z [       OK ] DynamicShapes.GraphWith2InputsAndBroadcast (0 ms)
2022-11-23T02:34:40.0659209Z [ RUN      ] DynamicShapes.GraphWithPartiallySymbolicOutput
2022-11-23T02:34:40.0659663Z [       OK ] DynamicShapes.GraphWithPartiallySymbolicOutput (0 ms)
2022-11-23T02:34:40.0660097Z [ RUN      ] DynamicShapes.GraphWithSymbolicStrides
2022-11-23T02:34:40.0660649Z [       OK ] DynamicShapes.GraphWithSymbolicStrides (0 ms)
2022-11-23T02:34:40.0661006Z [ RUN      ] DynamicShapes.GraphWithCatAndBroadcast
2022-11-23T02:34:40.0661380Z [       OK ] DynamicShapes.GraphWithCatAndBroadcast (0 ms)
2022-11-23T02:34:40.0661785Z [ RUN      ] DynamicShapes.GraphFromModel
2022-11-23T02:34:40.0662206Z [       OK ] DynamicShapes.GraphFromModel (0 ms)
2022-11-23T02:34:40.0662665Z [ RUN      ] DynamicShapes.MultiThreadedExecution
2022-11-23T02:34:40.0663075Z [       OK ] DynamicShapes.MultiThreadedExecution (0 ms)
2022-11-23T02:34:40.0663481Z [----------] 8 tests from DynamicShapes (0 ms total)
2022-11-23T02:34:40.0663624Z 
2022-11-23T02:34:40.0663760Z [----------] 30 tests from Expr
2022-11-23T02:34:40.0664021Z [ RUN      ] Expr.BasicValueTest
2022-11-23T02:34:40.0664303Z [       OK ] Expr.BasicValueTest (0 ms)
2022-11-23T02:34:40.0664570Z [ RUN      ] Expr.BasicValueTest02
2022-11-23T02:34:40.0664864Z [       OK ] Expr.BasicValueTest02 (0 ms)
2022-11-23T02:34:40.0665306Z [ RUN      ] Expr.IsChannelsLastContiguous
2022-11-23T02:34:40.0665618Z [       OK ] Expr.IsChannelsLastContiguous (0 ms)
2022-11-23T02:34:40.0665899Z [ RUN      ] Expr.LetTest01
2022-11-23T02:34:40.0666155Z [       OK ] Expr.LetTest01 (0 ms)
2022-11-23T02:34:40.0666391Z [ RUN      ] Expr.LetTest02
2022-11-23T02:34:40.0666651Z [       OK ] Expr.LetTest02 (0 ms)
2022-11-23T02:34:40.0666904Z [ RUN      ] Expr.LetStmtTest01
2022-11-23T02:34:40.0667174Z [       OK ] Expr.LetStmtTest01 (0 ms)
2022-11-23T02:34:40.0667409Z [ RUN      ] Expr.IntTest
2022-11-23T02:34:40.0667710Z [       OK ] Expr.IntTest (0 ms)
2022-11-23T02:34:40.0668130Z [ RUN      ] Expr.FloatTest
2022-11-23T02:34:40.0668414Z [       OK ] Expr.FloatTest (0 ms)
2022-11-23T02:34:40.0668663Z [ RUN      ] Expr.ByteTest
2022-11-23T02:34:40.0670842Z [       OK ] Expr.ByteTest (0 ms)
2022-11-23T02:34:40.0671075Z [ RUN      ] Expr.CharTest
2022-11-23T02:34:40.0673592Z [       OK ] Expr.CharTest (0 ms)
2022-11-23T02:34:40.0673842Z [ RUN      ] Expr.ShortTest
2022-11-23T02:34:40.0676102Z [       OK ] Expr.ShortTest (0 ms)
2022-11-23T02:34:40.0676339Z [ RUN      ] Expr.LongTest
2022-11-23T02:34:40.0678884Z [       OK ] Expr.LongTest (0 ms)
2022-11-23T02:34:40.0679131Z [ RUN      ] Expr.HalfTest
2022-11-23T02:34:40.0681400Z [       OK ] Expr.HalfTest (0 ms)
2022-11-23T02:34:40.0681658Z [ RUN      ] Expr.DoubleTest
2022-11-23T02:34:40.0683955Z [       OK ] Expr.DoubleTest (0 ms)
2022-11-23T02:34:40.0684200Z [ RUN      ] Expr.VectorAdd01
2022-11-23T02:34:40.0863931Z [       OK ] Expr.VectorAdd01 (17 ms)
2022-11-23T02:34:40.0864282Z [ RUN      ] Expr.CompareSelectEQ
2022-11-23T02:34:40.1288685Z [       OK ] Expr.CompareSelectEQ (42 ms)
2022-11-23T02:34:40.1288993Z [ RUN      ] Expr.CompareSelectDtypes
2022-11-23T02:34:40.1713492Z [       OK ] Expr.CompareSelectDtypes (42 ms)
2022-11-23T02:34:40.1713794Z [ RUN      ] Expr.IntrinsicsDtypes
2022-11-23T02:34:40.1782854Z [       OK ] Expr.IntrinsicsDtypes (6 ms)
2022-11-23T02:34:40.1783141Z [ RUN      ] Expr.Substitute01
2022-11-23T02:34:40.1785262Z [       OK ] Expr.Substitute01 (0 ms)
2022-11-23T02:34:40.1785520Z [ RUN      ] Expr.Math01
2022-11-23T02:34:40.1787656Z [       OK ] Expr.Math01 (0 ms)
2022-11-23T02:34:40.1787929Z [ RUN      ] Expr.UnaryMath01
2022-11-23T02:34:40.1806468Z [       OK ] Expr.UnaryMath01 (1 ms)
2022-11-23T02:34:40.1806786Z [ RUN      ] Expr.BinaryMath01
2022-11-23T02:34:40.1809448Z [       OK ] Expr.BinaryMath01 (0 ms)
2022-11-23T02:34:40.1809764Z [ RUN      ] Expr.LogicalOps01
2022-11-23T02:34:40.1839110Z [       OK ] Expr.LogicalOps01 (2 ms)
2022-11-23T02:34:40.1839368Z [ RUN      ] Expr.LogicalOps02
2022-11-23T02:34:40.1843423Z [       OK ] Expr.LogicalOps02 (0 ms)
2022-11-23T02:34:40.1843711Z [ RUN      ] Expr.LogicalOps03
2022-11-23T02:34:40.1859321Z [       OK ] Expr.LogicalOps03 (1 ms)
2022-11-23T02:34:40.1859595Z [ RUN      ] Expr.BitwiseOps
2022-11-23T02:34:40.1862789Z [       OK ] Expr.BitwiseOps (0 ms)
2022-11-23T02:34:40.1863060Z [ RUN      ] Expr.DynamicShapeAdd
2022-11-23T02:34:40.1887488Z [       OK ] Expr.DynamicShapeAdd (2 ms)
2022-11-23T02:34:40.1887763Z [ RUN      ] Expr.OutOfBounds
2022-11-23T02:34:40.1971513Z [       OK ] Expr.OutOfBounds (8 ms)
2022-11-23T02:34:40.1971767Z [ RUN      ] Expr.OutOfBounds2d
2022-11-23T02:34:40.2061552Z [       OK ] Expr.OutOfBounds2d (8 ms)
2022-11-23T02:34:40.2061939Z [ RUN      ] Expr.OutOfBounds2dFlattenedIndex
2022-11-23T02:34:40.2119796Z [       OK ] Expr.OutOfBounds2dFlattenedIndex (5 ms)
2022-11-23T02:34:40.2120247Z [----------] 30 tests from Expr (147 ms total)
2022-11-23T02:34:40.2120402Z 
2022-11-23T02:34:40.2120557Z [----------] 16 tests from ExternalCall
2022-11-23T02:34:40.2120846Z [ RUN      ] ExternalCall.Conv1d_float
2022-11-23T02:34:40.2523026Z [       OK ] ExternalCall.Conv1d_float (40 ms)
2022-11-23T02:34:40.2523540Z [ RUN      ] ExternalCall.Conv1d_int
2022-11-23T02:34:40.2849561Z [       OK ] ExternalCall.Conv1d_int (32 ms)
2022-11-23T02:34:40.2850069Z [ RUN      ] ExternalCall.Conv1d_nobias_noargs
2022-11-23T02:34:40.2870984Z [       OK ] ExternalCall.Conv1d_nobias_noargs (2 ms)
2022-11-23T02:34:40.2871513Z [ RUN      ] ExternalCall.Conv2d_float
2022-11-23T02:34:40.3242881Z [       OK ] ExternalCall.Conv2d_float (37 ms)
2022-11-23T02:34:40.3243385Z [ RUN      ] ExternalCall.Conv2d_int
2022-11-23T02:34:40.4637690Z [       OK ] ExternalCall.Conv2d_int (139 ms)
2022-11-23T02:34:40.4638320Z [ RUN      ] ExternalCall.Conv2d_nobias_noargs
2022-11-23T02:34:40.5021027Z [       OK ] ExternalCall.Conv2d_nobias_noargs (38 ms)
2022-11-23T02:34:40.5021549Z [ RUN      ] ExternalCall.Addmm_float
2022-11-23T02:34:40.5155107Z [       OK ] ExternalCall.Addmm_float (13 ms)
2022-11-23T02:34:40.5155577Z [ RUN      ] ExternalCall.Embedding
2022-11-23T02:34:40.5211339Z [       OK ] ExternalCall.Embedding (5 ms)
2022-11-23T02:34:40.5211915Z [ RUN      ] ExternalCall.MaxReduction
2022-11-23T02:34:40.5231142Z [       OK ] ExternalCall.MaxReduction (1 ms)
2022-11-23T02:34:40.5954674Z [ RUN      ] ExternalCall.Prepacked_Linear_float
2022-11-23T02:34:40.5955310Z [       OK ] ExternalCall.Prepacked_Linear_float (72 ms)
2022-11-23T02:34:40.5955907Z [ RUN      ] ExternalCall.Prepacked_Conv2d_float
2022-11-23T02:34:40.6336958Z [       OK ] ExternalCall.Prepacked_Conv2d_float (38 ms)
2022-11-23T02:34:40.6337565Z [ RUN      ] ExternalCall.BinaryFloat
2022-11-23T02:34:40.6605607Z [       OK ] ExternalCall.BinaryFloat (26 ms)
2022-11-23T02:34:40.6606157Z [ RUN      ] ExternalCall.UnaryFloat
2022-11-23T02:34:40.6645182Z [       OK ] ExternalCall.UnaryFloat (3 ms)
2022-11-23T02:34:40.6645727Z [ RUN      ] ExternalCall.ComputeInterop
2022-11-23T02:34:55.0892075Z [       OK ] ExternalCall.ComputeInterop (14424 ms)
2022-11-23T02:34:55.0892484Z [ RUN      ] ExternalCall.Inlining
2022-11-23T02:34:55.1216469Z [       OK ] ExternalCall.Inlining (32 ms)
2022-11-23T02:34:55.1216820Z [ RUN      ] ExternalCall.JitCustomFusionOp
2022-11-23T02:34:55.1788227Z [       OK ] ExternalCall.JitCustomFusionOp (57 ms)
2022-11-23T02:34:55.1788852Z [----------] 16 tests from ExternalCall (14966 ms total)
2022-11-23T02:34:55.1789396Z 
2022-11-23T02:34:55.1789619Z [----------] 8 tests from GraphOpt
2022-11-23T02:34:55.1789916Z [ RUN      ] GraphOpt.OptimizeCat
2022-11-23T02:34:55.1790203Z [       OK ] GraphOpt.OptimizeCat (0 ms)
2022-11-23T02:34:55.1790620Z [ RUN      ] GraphOpt.OptimizeCat2
2022-11-23T02:34:55.1790918Z [       OK ] GraphOpt.OptimizeCat2 (0 ms)
2022-11-23T02:34:55.1792618Z [ RUN      ] GraphOpt.OptimizeCat3
2022-11-23T02:34:55.1793119Z [       OK ] GraphOpt.OptimizeCat3 (0 ms)
2022-11-23T02:34:55.1793668Z [ RUN      ] GraphOpt.OptimizeCatWithTypePromotionInUser
2022-11-23T02:34:55.1794311Z [       OK ] GraphOpt.OptimizeCatWithTypePromotionInUser (0 ms)
2022-11-23T02:34:55.1794969Z [ RUN      ] GraphOpt.OptimizeCatWithTypePromotionInCat
2022-11-23T02:34:55.1795589Z [       OK ] GraphOpt.OptimizeCatWithTypePromotionInCat (0 ms)
2022-11-23T02:34:55.1796261Z [ RUN      ] GraphOpt.OptimizeCatNoSingleTensorElementwiseOp
2022-11-23T02:34:55.1796904Z [       OK ] GraphOpt.OptimizeCatNoSingleTensorElementwiseOp (0 ms)
2022-11-23T02:34:55.1797722Z [ RUN      ] GraphOpt.OptimizeCatNoSingleTensorElementwiseOp2
2022-11-23T02:34:55.1798388Z [       OK ] GraphOpt.OptimizeCatNoSingleTensorElementwiseOp2 (0 ms)
2022-11-23T02:34:55.1798969Z [ RUN      ] GraphOpt.AOTGraphPrepPasses
2022-11-23T02:34:55.1799442Z [       OK ] GraphOpt.AOTGraphPrepPasses (0 ms)
2022-11-23T02:34:55.1799956Z [----------] 8 tests from GraphOpt (0 ms total)
2022-11-23T02:34:55.1800187Z 
2022-11-23T02:34:55.1800417Z [----------] 4 tests from IRPrinter
2022-11-23T02:34:55.1800871Z [ RUN      ] IRPrinter.BasicValueTest
2022-11-23T02:34:55.1801314Z [       OK ] IRPrinter.BasicValueTest (0 ms)
2022-11-23T02:34:55.1801786Z [ RUN      ] IRPrinter.BasicValueTest02
2022-11-23T02:34:55.1802285Z [       OK ] IRPrinter.BasicValueTest02 (0 ms)
2022-11-23T02:34:55.1802728Z [ RUN      ] IRPrinter.CastTest
2022-11-23T02:34:55.1803168Z [       OK ] IRPrinter.CastTest (0 ms)
2022-11-23T02:34:55.1803627Z [ RUN      ] IRPrinter.FunctionName
2022-11-23T02:34:55.1857410Z [       OK ] IRPrinter.FunctionName (5 ms)
2022-11-23T02:34:55.1857970Z [----------] 4 tests from IRPrinter (6 ms total)
2022-11-23T02:34:55.1858127Z 
2022-11-23T02:34:55.1858274Z [----------] 8 tests from IRVerifier
2022-11-23T02:34:55.1858546Z [ RUN      ] IRVerifier.BitwiseOps
2022-11-23T02:34:55.1901999Z [       OK ] IRVerifier.BitwiseOps (4 ms)
2022-11-23T02:34:55.1902550Z [ RUN      ] IRVerifier.CompareSelect
2022-11-23T02:34:55.1913492Z [       OK ] IRVerifier.CompareSelect (1 ms)
2022-11-23T02:34:55.1914120Z [ RUN      ] IRVerifier.Ramp
2022-11-23T02:34:55.1914512Z [       OK ] IRVerifier.Ramp (0 ms)
2022-11-23T02:34:55.1914825Z [ RUN      ] IRVerifier.Load
2022-11-23T02:34:55.1915622Z [       OK ] IRVerifier.Load (0 ms)
2022-11-23T02:34:55.1916098Z [ RUN      ] IRVerifier.IfThenElse
2022-11-23T02:34:55.1917104Z [       OK ] IRVerifier.IfThenElse (0 ms)
2022-11-23T02:34:55.1917759Z [ RUN      ] IRVerifier.For
2022-11-23T02:34:55.1918208Z [       OK ] IRVerifier.For (0 ms)
2022-11-23T02:34:55.1918631Z [ RUN      ] IRVerifier.Block
2022-11-23T02:34:55.1919266Z [       OK ] IRVerifier.Block (0 ms)
2022-11-23T02:34:55.1919734Z [ RUN      ] IRVerifier.Store
2022-11-23T02:34:55.1921459Z [       OK ] IRVerifier.Store (0 ms)
2022-11-23T02:34:55.1922020Z [----------] 8 tests from IRVerifier (6 ms total)
2022-11-23T02:34:55.1922268Z 
2022-11-23T02:34:55.1922403Z [----------] 37 tests from Kernel
2022-11-23T02:34:55.1922683Z [ RUN      ] Kernel.ParallelExternalCallBuf
2022-11-23T02:34:55.1928726Z [       OK ] Kernel.ParallelExternalCallBuf (0 ms)
2022-11-23T02:34:55.1929216Z [ RUN      ] Kernel.InliningIntermediates
2022-11-23T02:34:55.2664574Z [       OK ] Kernel.InliningIntermediates (73 ms)
2022-11-23T02:34:55.2664978Z [ RUN      ] Kernel.PreAllocIntermediateBufs
2022-11-23T02:34:55.5092028Z [       OK ] Kernel.PreAllocIntermediateBufs (242 ms)
2022-11-23T02:34:55.5092339Z [ RUN      ] Kernel._1
2022-11-23T02:34:55.5336465Z [       OK ] Kernel._1 (24 ms)
2022-11-23T02:34:55.5336707Z [ RUN      ] Kernel._2
2022-11-23T02:34:55.5613562Z [       OK ] Kernel._2 (27 ms)
2022-11-23T02:34:55.5613812Z [ RUN      ] Kernel._3
2022-11-23T02:34:55.5891228Z [       OK ] Kernel._3 (27 ms)
2022-11-23T02:34:55.5891491Z [ RUN      ] Kernel.Huge
2022-11-23T02:34:55.6051665Z [       OK ] Kernel.Huge (16 ms)
2022-11-23T02:34:55.6051956Z [ RUN      ] Kernel.ParallelStrided
2022-11-23T02:40:32.0146904Z [       OK ] Kernel.ParallelStrided (336409 ms)
2022-11-23T02:40:32.0147430Z [ RUN      ] Kernel.CatInputTypesPromotion
2022-11-23T02:40:32.1102406Z [       OK ] Kernel.CatInputTypesPromotion (95 ms)
2022-11-23T02:40:32.1102924Z [ RUN      ] Kernel.ToDType
2022-11-23T02:40:32.1103333Z [       OK ] Kernel.ToDType (0 ms)
2022-11-23T02:40:32.1105936Z [ RUN      ] Kernel.CatAndInlineWithAConstantDim
2022-11-23T02:40:32.4999617Z [       OK ] Kernel.CatAndInlineWithAConstantDim (389 ms)
2022-11-23T02:40:32.4999999Z [ RUN      ] Kernel.CatWithEmptyInputs
2022-11-23T02:40:32.7757356Z [       OK ] Kernel.CatWithEmptyInputs (275 ms)
2022-11-23T02:40:32.7757787Z [ RUN      ] Kernel.CatWoConditionals
2022-11-23T02:40:32.8634681Z [       OK ] Kernel.CatWoConditionals (87 ms)
2022-11-23T02:40:32.8635088Z [ RUN      ] Kernel.OptimizeConditionals
2022-11-23T02:40:33.0733946Z [       OK ] Kernel.OptimizeConditionals (209 ms)
2022-11-23T02:40:33.0734392Z [ RUN      ] Kernel.SumAllAxes
2022-11-23T02:40:33.1060376Z [       OK ] Kernel.SumAllAxes (32 ms)
2022-11-23T02:40:33.1060858Z [ RUN      ] Kernel.SumOneAxis
2022-11-23T02:40:33.3961595Z [       OK ] Kernel.SumOneAxis (290 ms)
2022-11-23T02:40:33.3962142Z [ RUN      ] Kernel.SumMultipleAxes
2022-11-23T02:40:33.9431940Z [       OK ] Kernel.SumMultipleAxes (547 ms)
2022-11-23T02:40:33.9432429Z [ RUN      ] Kernel.Softmax2D
2022-11-23T02:40:34.2048773Z [       OK ] Kernel.Softmax2D (261 ms)
2022-11-23T02:40:34.2049229Z [ RUN      ] Kernel.Softmax3D
2022-11-23T02:40:34.9642529Z [       OK ] Kernel.Softmax3D (759 ms)
2022-11-23T02:40:34.9643002Z [ RUN      ] Kernel.Softmax4D
2022-11-23T02:40:36.0149459Z [       OK ] Kernel.Softmax4D (1050 ms)
2022-11-23T02:40:36.0149917Z [ RUN      ] Kernel.SignTest
2022-11-23T02:40:36.0598457Z [       OK ] Kernel.SignTest (44 ms)
2022-11-23T02:40:36.0598812Z [ RUN      ] Kernel.InlineProducerIntoReduction
2022-11-23T02:40:36.0808110Z [       OK ] Kernel.InlineProducerIntoReduction (21 ms)
2022-11-23T02:40:36.0808705Z [ RUN      ] Kernel.InlineReductionIntoConsumer
2022-11-23T02:40:36.1115679Z [       OK ] Kernel.InlineReductionIntoConsumer (30 ms)
2022-11-23T02:40:36.1116208Z [ RUN      ] Kernel.ConstantTensors
2022-11-23T02:40:36.2012416Z [       OK ] Kernel.ConstantTensors (89 ms)
2022-11-23T02:40:36.2013011Z [ RUN      ] Kernel.ConstantTensorsNonContiguous
2022-11-23T02:40:36.2923135Z [       OK ] Kernel.ConstantTensorsNonContiguous (90 ms)
2022-11-23T02:40:36.2923718Z [ RUN      ] Kernel.RunFast
2022-11-23T02:40:36.2924098Z [       OK ] Kernel.RunFast (0 ms)
2022-11-23T02:40:36.2924383Z [ RUN      ] Kernel.RunWithAllocatedOutputs
2022-11-23T02:40:36.2924713Z [       OK ] Kernel.RunWithAllocatedOutputs (0 ms)
2022-11-23T02:40:36.2925235Z [ RUN      ] Kernel.CodegenInspection
2022-11-23T02:40:36.2925529Z [       OK ] Kernel.CodegenInspection (0 ms)
2022-11-23T02:40:36.2925803Z [ RUN      ] Kernel.CustomLowering
2022-11-23T02:40:36.3093536Z [       OK ] Kernel.CustomLowering (16 ms)
2022-11-23T02:40:36.3094035Z [ RUN      ] Kernel.Vectorize
2022-11-23T02:40:36.3094310Z [       OK ] Kernel.Vectorize (0 ms)
2022-11-23T02:40:36.3094596Z [ RUN      ] Kernel.Strided1dWithinBounds
2022-11-23T02:40:36.3239211Z [       OK ] Kernel.Strided1dWithinBounds (14 ms)
2022-11-23T02:40:36.3239785Z [ RUN      ] Kernel.InputAsOutput
2022-11-23T02:40:36.3577223Z [       OK ] Kernel.InputAsOutput (33 ms)
2022-11-23T02:40:36.3577729Z [ RUN      ] Kernel.ScalarOut
2022-11-23T02:40:36.3698023Z [       OK ] Kernel.ScalarOut (12 ms)
2022-11-23T02:40:36.3698328Z [ RUN      ] Kernel.ScalarTensorOut
2022-11-23T02:40:36.3867565Z [       OK ] Kernel.ScalarTensorOut (16 ms)
2022-11-23T02:40:36.3868133Z [ RUN      ] Kernel.FuseLoopsWithVariableBounds
2022-11-23T02:40:36.3868770Z [       OK ] Kernel.FuseLoopsWithVariableBounds (0 ms)
2022-11-23T02:40:36.3869308Z [ RUN      ] Kernel.FuseLoopsWithVariableConcatDim
2022-11-23T02:40:36.3869832Z [       OK ] Kernel.FuseLoopsWithVariableConcatDim (0 ms)
2022-11-23T02:40:36.3870571Z [ RUN      ] Kernel.DoNotFuseLoopsWithMismatchingVariableDims
2022-11-23T02:40:36.3871010Z [       OK ] Kernel.DoNotFuseLoopsWithMismatchingVariableDims (0 ms)
2022-11-23T02:40:36.3871399Z [----------] 37 tests from Kernel (341194 ms total)
2022-11-23T02:40:36.3871554Z 
2022-11-23T02:40:36.3871697Z [----------] 174 tests from LoopNest
2022-11-23T02:40:36.3871970Z [ RUN      ] LoopNest.ExprSimple01
2022-11-23T02:40:36.3906931Z [       OK ] LoopNest.ExprSimple01 (3 ms)
2022-11-23T02:40:36.3907232Z [ RUN      ] LoopNest.ExprLower01
2022-11-23T02:40:36.3915578Z [       OK ] LoopNest.ExprLower01 (0 ms)
2022-11-23T02:40:36.3915853Z [ RUN      ] LoopNest.ExprSimple02
2022-11-23T02:40:36.4261697Z [       OK ] LoopNest.ExprSimple02 (34 ms)
2022-11-23T02:40:36.4262050Z [ RUN      ] LoopNest.ExprSliceHeadWithLoopOptions
2022-11-23T02:40:36.4291115Z [       OK ] LoopNest.ExprSliceHeadWithLoopOptions (2 ms)
2022-11-23T02:40:36.4291768Z [ RUN      ] LoopNest.ExprSliceTailWithLoopOptions
2022-11-23T02:40:36.4330896Z [       OK ] LoopNest.ExprSliceTailWithLoopOptions (3 ms)
2022-11-23T02:40:36.4331531Z [ RUN      ] LoopNest.ExprSliceHeadWhenFactorEqualsSize
2022-11-23T02:40:36.4338270Z [       OK ] LoopNest.ExprSliceHeadWhenFactorEqualsSize (0 ms)
2022-11-23T02:40:36.4338931Z [ RUN      ] LoopNest.ExprSliceHeadWhenFactorLargerThanSize
2022-11-23T02:40:36.4345954Z [       OK ] LoopNest.ExprSliceHeadWhenFactorLargerThanSize (0 ms)
2022-11-23T02:40:36.4346524Z [ RUN      ] LoopNest.ExprSliceHead
2022-11-23T02:40:36.4360264Z [       OK ] LoopNest.ExprSliceHead (1 ms)
2022-11-23T02:40:36.4360890Z [ RUN      ] LoopNest.ExprSliceHeadWithNonZeroStart
2022-11-23T02:40:36.4386253Z [       OK ] LoopNest.ExprSliceHeadWithNonZeroStart (2 ms)
2022-11-23T02:40:36.4386876Z [ RUN      ] LoopNest.ExprSliceTailWhenFactorEqualsSize
2022-11-23T02:40:36.4393446Z [       OK ] LoopNest.ExprSliceTailWhenFactorEqualsSize (0 ms)
2022-11-23T02:40:36.4394092Z [ RUN      ] LoopNest.ExprSliceTailWhenFactorLargerThanSize
2022-11-23T02:40:36.4400750Z [       OK ] LoopNest.ExprSliceTailWhenFactorLargerThanSize (0 ms)
2022-11-23T02:40:36.4401309Z [ RUN      ] LoopNest.ExprSliceTail
2022-11-23T02:40:36.4414838Z [       OK ] LoopNest.ExprSliceTail (1 ms)
2022-11-23T02:40:36.4415390Z [ RUN      ] LoopNest.ExprSplitAndSlice
2022-11-23T02:40:36.4494527Z [       OK ] LoopNest.ExprSplitAndSlice (7 ms)
2022-11-23T02:40:36.4495092Z [ RUN      ] LoopNest.ExprSliceAndNormalize
2022-11-23T02:40:36.4522455Z [       OK ] LoopNest.ExprSliceAndNormalize (2 ms)
2022-11-23T02:40:36.4523216Z [ RUN      ] LoopNest.ExprSliceWithVariableDimension
2022-11-23T02:40:36.4738034Z [       OK ] LoopNest.ExprSliceWithVariableDimension (21 ms)
2022-11-23T02:40:36.4738620Z [ RUN      ] LoopNest.ExprSplitWithTail
2022-11-23T02:40:36.4835046Z [       OK ] LoopNest.ExprSplitWithTail (9 ms)
2022-11-23T02:40:36.4835625Z [ RUN      ] LoopNest.ExprSplitWithTailNone
2022-11-23T02:40:36.5025096Z [       OK ] LoopNest.ExprSplitWithTailNone (18 ms)
2022-11-23T02:40:36.5025694Z [ RUN      ] LoopNest.ExprSplitWithMask01
2022-11-23T02:40:36.5457511Z [       OK ] LoopNest.ExprSplitWithMask01 (43 ms)
2022-11-23T02:40:36.5457918Z [ RUN      ] LoopNest.ExprSplitWithMaskRepeatedNoMask
2022-11-23T02:40:36.5515057Z [       OK ] LoopNest.ExprSplitWithMaskRepeatedNoMask (5 ms)
2022-11-23T02:40:36.5515450Z [ RUN      ] LoopNest.getLoopAt
2022-11-23T02:40:36.5519285Z [       OK ] LoopNest.getLoopAt (0 ms)
2022-11-23T02:40:36.5519635Z [ RUN      ] LoopNest.TileSimple
2022-11-23T02:40:37.9259681Z [       OK ] LoopNest.TileSimple (1373 ms)
2022-11-23T02:40:37.9260224Z [ RUN      ] LoopNest.TileWithTails
2022-11-23T02:40:39.3134463Z [       OK ] LoopNest.TileWithTails (1387 ms)
2022-11-23T02:40:39.3135003Z [ RUN      ] LoopNest.TileInMiddle
2022-11-23T02:40:41.5867401Z [       OK ] LoopNest.TileInMiddle (2273 ms)
2022-11-23T02:40:41.5867968Z [ RUN      ] LoopNest.SplitWithTailWithLoopOptions
2022-11-23T02:40:41.5875372Z [       OK ] LoopNest.SplitWithTailWithLoopOptions (0 ms)
2022-11-23T02:40:41.5875814Z [ RUN      ] LoopNest.SplitWithMaskWithLoopOptions
2022-11-23T02:40:41.5881066Z [       OK ] LoopNest.SplitWithMaskWithLoopOptions (0 ms)
2022-11-23T02:40:41.5881573Z [ RUN      ] LoopNest.ScheduleBroadcastAddBuffer
2022-11-23T02:40:41.6132676Z [       OK ] LoopNest.ScheduleBroadcastAddBuffer (24 ms)
2022-11-23T02:40:41.6133277Z [ RUN      ] LoopNest.ScheduleFunctionCall01
2022-11-23T02:40:41.7442864Z [       OK ] LoopNest.ScheduleFunctionCall01 (130 ms)
2022-11-23T02:40:41.7443245Z [ RUN      ] LoopNest.ScheduleInlineSimple
2022-11-23T02:40:41.9421053Z [       OK ] LoopNest.ScheduleInlineSimple (197 ms)
2022-11-23T02:40:41.9421436Z [ RUN      ] LoopNest.ScheduleInlineFunc01
2022-11-23T02:40:42.9119359Z [       OK ] LoopNest.ScheduleInlineFunc01 (969 ms)
2022-11-23T02:40:42.9119723Z [ RUN      ] LoopNest.ScheduleInlineRandom
2022-11-23T02:40:42.9165792Z [       OK ] LoopNest.ScheduleInlineRandom (4 ms)
2022-11-23T02:40:42.9166421Z [ RUN      ] LoopNest.ScheduleInlineRandomUnrelated
2022-11-23T02:40:42.9209046Z [       OK ] LoopNest.ScheduleInlineRandomUnrelated (4 ms)
2022-11-23T02:40:42.9209656Z [ RUN      ] LoopNest.ScheduleInlineRandomLowerDimensions
2022-11-23T02:40:42.9244528Z [       OK ] LoopNest.ScheduleInlineRandomLowerDimensions (3 ms)
2022-11-23T02:40:42.9245138Z [ RUN      ] LoopNest.ScheduleInlineIntrinsics
2022-11-23T02:40:43.0714220Z [       OK ] LoopNest.ScheduleInlineIntrinsics (146 ms)
2022-11-23T02:40:43.0714833Z [ RUN      ] LoopNest.ScheduleInlineRandWithIntrinsics
2022-11-23T02:40:43.0759163Z [       OK ] LoopNest.ScheduleInlineRandWithIntrinsics (4 ms)
2022-11-23T02:40:43.0759822Z [ RUN      ] LoopNest.ScheduleSplitAThenInline
2022-11-23T02:40:43.0771830Z [       OK ] LoopNest.ScheduleSplitAThenInline (1 ms)
2022-11-23T02:40:43.0772413Z [ RUN      ] LoopNest.ScheduleSplitBThenInline
2022-11-23T02:40:43.0819124Z [       OK ] LoopNest.ScheduleSplitBThenInline (4 ms)
2022-11-23T02:40:43.0819723Z [ RUN      ] LoopNest.ScheduleSplitTwiceThenInline
2022-11-23T02:40:43.0833270Z [       OK ] LoopNest.ScheduleSplitTwiceThenInline (1 ms)
2022-11-23T02:40:43.0834038Z [ RUN      ] LoopNest.ScheduleInlineThenSplit
2022-11-23T02:40:43.0877837Z [       OK ] LoopNest.ScheduleInlineThenSplit (4 ms)
2022-11-23T02:40:43.0878367Z [ RUN      ] LoopNest.ScheduleSplitInlineThenSplit
2022-11-23T02:40:43.0973815Z [       OK ] LoopNest.ScheduleSplitInlineThenSplit (9 ms)
2022-11-23T02:40:43.0974435Z [ RUN      ] LoopNest.ScheduleSplitInlineSimplify
2022-11-23T02:40:43.0985973Z [       OK ] LoopNest.ScheduleSplitInlineSimplify (1 ms)
2022-11-23T02:40:43.0986585Z [ RUN      ] LoopNest.ScheduleInlineThreeMixedOnce
2022-11-23T02:40:43.1045769Z [       OK ] LoopNest.ScheduleInlineThreeMixedOnce (5 ms)
2022-11-23T02:40:43.1046393Z [ RUN      ] LoopNest.ScheduleInlineThreeMixedTwice
2022-11-23T02:40:43.1107418Z [       OK ] LoopNest.ScheduleInlineThreeMixedTwice (6 ms)
2022-11-23T02:40:43.1108082Z [ RUN      ] LoopNest.ScheduleInlineThreeMixedInner
2022-11-23T02:40:43.1170246Z [       OK ] LoopNest.ScheduleInlineThreeMixedInner (6 ms)
2022-11-23T02:40:43.1170874Z [ RUN      ] LoopNest.ScheduleInlineThreeMixedSplit
2022-11-23T02:40:43.1192212Z [       OK ] LoopNest.ScheduleInlineThreeMixedSplit (2 ms)
2022-11-23T02:40:43.1192833Z [ RUN      ] LoopNest.ScheduleInlineOutputTensors
2022-11-23T02:40:43.1242713Z [       OK ] LoopNest.ScheduleInlineOutputTensors (4 ms)
2022-11-23T02:40:43.1243368Z [ RUN      ] LoopNest.ScheduleInlineWithCompoundIndices
2022-11-23T02:40:43.1249694Z [       OK ] LoopNest.ScheduleInlineWithCompoundIndices (0 ms)
2022-11-23T02:40:43.1250333Z [ RUN      ] LoopNest.ScheduleInlineConsumerIndicesWithCast
2022-11-23T02:40:43.1258580Z [       OK ] LoopNest.ScheduleInlineConsumerIndicesWithCast (0 ms)
2022-11-23T02:40:43.1259214Z [ RUN      ] LoopNest.ScheduleInlineProducerIndicesWithCast
2022-11-23T02:40:43.1267750Z [       OK ] LoopNest.ScheduleInlineProducerIndicesWithCast (0 ms)
2022-11-23T02:40:43.1268382Z [ RUN      ] LoopNest.ScheduleFuserStyle
2022-11-23T02:40:43.1850835Z [       OK ] LoopNest.ScheduleFuserStyle (58 ms)
2022-11-23T02:40:43.1851461Z [ RUN      ] LoopNest.ScheduleFuserThreeArg
2022-11-23T02:40:43.2551136Z [       OK ] LoopNest.ScheduleFuserThreeArg (70 ms)
2022-11-23T02:40:43.2551499Z [ RUN      ] LoopNest.ScheduleDynamicShape2D
2022-11-23T02:40:43.3951070Z [       OK ] LoopNest.ScheduleDynamicShape2D (139 ms)
2022-11-23T02:40:43.3951425Z [ RUN      ] LoopNest.LoopNestComputeAt_1
2022-11-23T02:40:43.4067167Z [       OK ] LoopNest.LoopNestComputeAt_1 (11 ms)
2022-11-23T02:40:43.4067573Z [ RUN      ] LoopNest.LoopNestComputeAt_2
2022-11-23T02:40:44.2700900Z [       OK ] LoopNest.LoopNestComputeAt_2 (863 ms)
2022-11-23T02:40:44.2701265Z [ RUN      ] LoopNest.LoopNestComputeAt_3
2022-11-23T02:40:45.0434638Z [       OK ] LoopNest.LoopNestComputeAt_3 (773 ms)
2022-11-23T02:40:45.0435008Z [ RUN      ] LoopNest.Reduce2dComputeAt
2022-11-23T02:40:46.4126879Z [       OK ] LoopNest.Reduce2dComputeAt (1369 ms)
2022-11-23T02:40:46.4127245Z [ RUN      ] LoopNest.LoopNestReorderAxis1
2022-11-23T02:40:46.4162239Z [       OK ] LoopNest.LoopNestReorderAxis1 (3 ms)
2022-11-23T02:40:46.4162653Z [ RUN      ] LoopNest.LoopNestReorderPartialAxes
2022-11-23T02:40:46.4300533Z [       OK ] LoopNest.LoopNestReorderPartialAxes (13 ms)
2022-11-23T02:40:46.4300978Z [ RUN      ] LoopNest.LoopNestReorderInternalAxis
2022-11-23T02:40:46.4429648Z [       OK ] LoopNest.LoopNestReorderInternalAxis (12 ms)
2022-11-23T02:40:46.4430268Z [ RUN      ] LoopNest.LoopNestReorderEnclosingAxis
2022-11-23T02:40:46.4559555Z [       OK ] LoopNest.LoopNestReorderEnclosingAxis (12 ms)
2022-11-23T02:40:46.4559957Z [ RUN      ] LoopNest.LoopNestReorderSameAxis
2022-11-23T02:40:46.4569598Z [       OK ] LoopNest.LoopNestReorderSameAxis (1 ms)
2022-11-23T02:40:46.4570019Z [ RUN      ] LoopNest.LoopNestReorderExtraStatements
2022-11-23T02:40:46.4758360Z [       OK ] LoopNest.LoopNestReorderExtraStatements (18 ms)
2022-11-23T02:40:46.4758770Z [ RUN      ] LoopNest.LoopNestReorderLongStringOfPreOrphans
2022-11-23T02:40:47.3199984Z [       OK ] LoopNest.LoopNestReorderLongStringOfPreOrphans (844 ms)
2022-11-23T02:40:47.3200487Z [ RUN      ] LoopNest.LoopNestReorderLongStringOfPostOrphans
2022-11-23T02:40:48.1321663Z [       OK ] LoopNest.LoopNestReorderLongStringOfPostOrphans (812 ms)
2022-11-23T02:40:48.1322404Z [ RUN      ] LoopNest.LoopNestReorderLongStringFull
2022-11-23T02:40:49.1768219Z [       OK ] LoopNest.LoopNestReorderLongStringFull (1044 ms)
2022-11-23T02:40:49.1768947Z [ RUN      ] LoopNest.LoopNestReorderInternalLoopNest
2022-11-23T02:40:49.3706553Z [       OK ] LoopNest.LoopNestReorderInternalLoopNest (193 ms)
2022-11-23T02:40:49.3707208Z [ RUN      ] LoopNest.OuterLoopVectorization
2022-11-23T02:40:49.3729127Z [       OK ] LoopNest.OuterLoopVectorization (2 ms)
2022-11-23T02:40:49.3729719Z [ RUN      ] LoopNest.VectorizeLoopNotNormalized
2022-11-23T02:40:49.3753316Z [       OK ] LoopNest.VectorizeLoopNotNormalized (2 ms)
2022-11-23T02:40:49.3753832Z [ RUN      ] LoopNest.Unroll
2022-11-23T02:40:49.3764333Z [       OK ] LoopNest.Unroll (1 ms)
2022-11-23T02:40:49.3764790Z [ RUN      ] LoopNest.UnrollOuter
2022-11-23T02:40:49.3785468Z [       OK ] LoopNest.UnrollOuter (2 ms)
2022-11-23T02:40:49.3785957Z [ RUN      ] LoopNest.UnrollInner
2022-11-23T02:40:49.3802942Z [       OK ] LoopNest.UnrollInner (1 ms)
2022-11-23T02:40:49.3803500Z [ RUN      ] LoopNest.UnrollMultipleStatements
2022-11-23T02:40:49.3812834Z [       OK ] LoopNest.UnrollMultipleStatements (0 ms)
2022-11-23T02:40:49.3813458Z [ RUN      ] LoopNest.UnrollNonLiteralConstantBounds
2022-11-23T02:40:49.3829398Z [       OK ] LoopNest.UnrollNonLiteralConstantBounds (1 ms)
2022-11-23T02:40:49.3829982Z [ RUN      ] LoopNest.UnrollNonConstantBounds
2022-11-23T02:40:49.4455175Z [       OK ] LoopNest.UnrollNonConstantBounds (62 ms)
2022-11-23T02:40:49.4455812Z [ RUN      ] LoopNest.UnrollByFactorsLessThan2
2022-11-23T02:40:49.4462676Z [       OK ] LoopNest.UnrollByFactorsLessThan2 (0 ms)
2022-11-23T02:40:49.4463259Z [ RUN      ] LoopNest.UnrollByFactorEqualToIters
2022-11-23T02:40:49.4490062Z [       OK ] LoopNest.UnrollByFactorEqualToIters (2 ms)
2022-11-23T02:40:49.4490610Z [ RUN      ] LoopNest.UnrollEmpty
2022-11-23T02:40:49.4496387Z [       OK ] LoopNest.UnrollEmpty (0 ms)
2022-11-23T02:40:49.4496875Z [ RUN      ] LoopNest.NoUnroll
2022-11-23T02:40:49.4515135Z [       OK ] LoopNest.NoUnroll (1 ms)
2022-11-23T02:40:49.4515625Z [ RUN      ] LoopNest.UnrollWithLet
2022-11-23T02:40:49.4529537Z [       OK ] LoopNest.UnrollWithLet (1 ms)
2022-11-23T02:40:49.4530023Z [ RUN      ] LoopNest.IsNormalized
2022-11-23T02:40:49.4530496Z [       OK ] LoopNest.IsNormalized (0 ms)
2022-11-23T02:40:49.4530971Z [ RUN      ] LoopNest.NormalizeStartPositive
2022-11-23T02:40:49.4561450Z [       OK ] LoopNest.NormalizeStartPositive (3 ms)
2022-11-23T02:40:49.4562028Z [ RUN      ] LoopNest.NormalizeStartNegative
2022-11-23T02:40:49.4598858Z [       OK ] LoopNest.NormalizeStartNegative (3 ms)
2022-11-23T02:40:49.4599366Z [ RUN      ] LoopNest.NormalizeStartZero
2022-11-23T02:40:49.4605052Z [       OK ] LoopNest.NormalizeStartZero (0 ms)
2022-11-23T02:40:49.4605603Z [ RUN      ] LoopNest.NormalizeStartVariable
2022-11-23T02:40:49.4636076Z [       OK ] LoopNest.NormalizeStartVariable (3 ms)
2022-11-23T02:40:49.4636594Z [ RUN      ] LoopNest.NormalizeOnNestedOuterLoop
2022-11-23T02:40:49.4671473Z [       OK ] LoopNest.NormalizeOnNestedOuterLoop (3 ms)
2022-11-23T02:40:49.4672072Z [ RUN      ] LoopNest.NormalizeOnNestedInnerLoop
2022-11-23T02:40:49.4700842Z [       OK ] LoopNest.NormalizeOnNestedInnerLoop (2 ms)
2022-11-23T02:40:49.4701419Z [ RUN      ] LoopNest.NormalizeAndSplitWithTail
2022-11-23T02:40:49.4756522Z [       OK ] LoopNest.NormalizeAndSplitWithTail (5 ms)
2022-11-23T02:40:49.4757426Z [ RUN      ] LoopNest.NotNormalizeAndSplitWithTail
2022-11-23T02:40:49.4829741Z [       OK ] LoopNest.NotNormalizeAndSplitWithTail (7 ms)
2022-11-23T02:40:49.4830334Z [ RUN      ] LoopNest.FlattenSimpleLoopNest2D
2022-11-23T02:40:49.4967310Z [       OK ] LoopNest.FlattenSimpleLoopNest2D (13 ms)
2022-11-23T02:40:49.4967880Z [ RUN      ] LoopNest.FlattenSimpleLoopNest3D
2022-11-23T02:40:49.6207823Z [       OK ] LoopNest.FlattenSimpleLoopNest3D (123 ms)
2022-11-23T02:40:49.6208462Z [ RUN      ] LoopNest.FlattenLoopNestAfterNormalize
2022-11-23T02:40:49.6577480Z [       OK ] LoopNest.FlattenLoopNestAfterNormalize (36 ms)
2022-11-23T02:40:49.6578245Z [ RUN      ] LoopNest.FlattenLoopNestWithNonLiteralConstantBounds
2022-11-23T02:40:49.6738259Z [       OK ] LoopNest.FlattenLoopNestWithNonLiteralConstantBounds (16 ms)
2022-11-23T02:40:49.6738958Z [ RUN      ] LoopNest.FlattenImperfectLoopNest
2022-11-23T02:40:49.6739544Z [       OK ] LoopNest.FlattenImperfectLoopNest (0 ms)
2022-11-23T02:40:49.6740067Z [ RUN      ] LoopNest.FlattenReductionLoopNest
2022-11-23T02:40:49.6741525Z [       OK ] LoopNest.FlattenReductionLoopNest (0 ms)
2022-11-23T02:40:49.6741911Z [ RUN      ] LoopNest.FlattenReductionLoopNestFromTensor
2022-11-23T02:40:49.6761307Z [       OK ] LoopNest.FlattenReductionLoopNestFromTensor (1 ms)
2022-11-23T02:40:49.6761958Z [ RUN      ] LoopNest.FlattenIncorrectLoopsAsInput
2022-11-23T02:40:49.6762888Z [       OK ] LoopNest.FlattenIncorrectLoopsAsInput (0 ms)
2022-11-23T02:40:49.6763449Z [ RUN      ] LoopNest.DetectInlineRankMismatch
2022-11-23T02:40:49.6777867Z [       OK ] LoopNest.DetectInlineRankMismatch (1 ms)
2022-11-23T02:40:49.6778401Z [ RUN      ] LoopNest.CacheReadsSimple
2022-11-23T02:40:50.2343166Z [       OK ] LoopNest.CacheReadsSimple (556 ms)
2022-11-23T02:40:50.2343691Z [ RUN      ] LoopNest.CacheReadsOuter
2022-11-23T02:40:50.8863012Z [       OK ] LoopNest.CacheReadsOuter (651 ms)
2022-11-23T02:40:50.8863570Z [ RUN      ] LoopNest.CacheReadsInternal
2022-11-23T02:40:51.5290145Z [       OK ] LoopNest.CacheReadsInternal (642 ms)
2022-11-23T02:40:51.5290672Z [ RUN      ] LoopNest.CacheReadsInner
2022-11-23T02:40:52.6330841Z [       OK ] LoopNest.CacheReadsInner (1104 ms)
2022-11-23T02:40:52.6331375Z [ RUN      ] LoopNest.CacheWritesSimple
2022-11-23T02:40:53.8035888Z [       OK ] LoopNest.CacheWritesSimple (1170 ms)
2022-11-23T02:40:53.8036409Z [ RUN      ] LoopNest.DeadStoreElimination
2022-11-23T02:40:53.8242493Z [       OK ] LoopNest.DeadStoreElimination (20 ms)
2022-11-23T02:40:53.8243145Z [ RUN      ] LoopNest.DeadStoreEliminationWithIntermediates
2022-11-23T02:40:53.8414167Z [       OK ] LoopNest.DeadStoreEliminationWithIntermediates (17 ms)
2022-11-23T02:40:53.8414823Z [ RUN      ] LoopNest.CompoundTensorSimple
2022-11-23T02:40:53.8600163Z [       OK ] LoopNest.CompoundTensorSimple (18 ms)
2022-11-23T02:40:53.8601036Z [ RUN      ] LoopNest.InlineConstantIndex
2022-11-23T02:40:53.8645633Z [       OK ] LoopNest.InlineConstantIndex (4 ms)
2022-11-23T02:40:53.8646223Z [ RUN      ] LoopNest.CompoundTensorUsed
2022-11-23T02:40:53.8968100Z [       OK ] LoopNest.CompoundTensorUsed (32 ms)
2022-11-23T02:40:53.8968648Z [ RUN      ] LoopNest.InlineFromLoad
2022-11-23T02:40:53.8974588Z [       OK ] LoopNest.InlineFromLoad (0 ms)
2022-11-23T02:40:53.8975101Z [ RUN      ] LoopNest.OptimizeConditionalsSimple
2022-11-23T02:40:53.8994026Z [       OK ] LoopNest.OptimizeConditionalsSimple (1 ms)
2022-11-23T02:40:53.8994658Z [ RUN      ] LoopNest.OptimizeConditionalsNestedConditions
2022-11-23T02:40:53.9020859Z [       OK ] LoopNest.OptimizeConditionalsNestedConditions (2 ms)
2022-11-23T02:40:53.9021558Z [ RUN      ] LoopNest.OptimizeConditionalsMultipleStores
2022-11-23T02:40:53.9050583Z [       OK ] LoopNest.OptimizeConditionalsMultipleStores (2 ms)
2022-11-23T02:40:53.9051296Z [ RUN      ] LoopNest.OptimizeConditionalsMultipleStoresInOneLoop
2022-11-23T02:40:53.9117391Z [       OK ] LoopNest.OptimizeConditionalsMultipleStoresInOneLoop (6 ms)
2022-11-23T02:40:53.9118134Z [ RUN      ] LoopNest.OptimizeConditionalsOuterLoopVar
2022-11-23T02:40:53.9166894Z [       OK ] LoopNest.OptimizeConditionalsOuterLoopVar (4 ms)
2022-11-23T02:40:53.9167592Z [ RUN      ] LoopNest.OptimizeConditionalsCompValuesNotOrdered
2022-11-23T02:40:53.9213490Z [       OK ] LoopNest.OptimizeConditionalsCompValuesNotOrdered (4 ms)
2022-11-23T02:40:53.9214254Z [ RUN      ] LoopNest.OptimizeConditionalsCompValuesNotConstants
2022-11-23T02:40:53.9257986Z [       OK ] LoopNest.OptimizeConditionalsCompValuesNotConstants (4 ms)
2022-11-23T02:40:53.9258716Z [ RUN      ] LoopNest.OptimizeConditionalsInvalidCondition
2022-11-23T02:40:53.9304100Z [       OK ] LoopNest.OptimizeConditionalsInvalidCondition (4 ms)
2022-11-23T02:40:53.9304821Z [ RUN      ] LoopNest.OptimizeConditionalsInvalidCondition2
2022-11-23T02:40:53.9352136Z [       OK ] LoopNest.OptimizeConditionalsInvalidCondition2 (4 ms)
2022-11-23T02:40:53.9352863Z [ RUN      ] LoopNest.OptimizeConditionalsInvalidCondition3
2022-11-23T02:40:53.9393353Z [       OK ] LoopNest.OptimizeConditionalsInvalidCondition3 (4 ms)
2022-11-23T02:40:53.9394074Z [ RUN      ] LoopNest.OptimizeConditionalsInvalidCondition4
2022-11-23T02:40:53.9431122Z [       OK ] LoopNest.OptimizeConditionalsInvalidCondition4 (3 ms)
2022-11-23T02:40:53.9431790Z [ RUN      ] LoopNest.OptimizeConditionalsNotNormalized
2022-11-23T02:40:53.9451993Z [       OK ] LoopNest.OptimizeConditionalsNotNormalized (2 ms)
2022-11-23T02:40:53.9452657Z [ RUN      ] LoopNest.ColReduceSplitTailEvenReorder
2022-11-23T02:40:56.4944910Z [       OK ] LoopNest.ColReduceSplitTailEvenReorder (2549 ms)
2022-11-23T02:40:56.4945589Z [ RUN      ] LoopNest.ColReduceSplitTailUnevenReorder
2022-11-23T02:40:58.4835151Z [       OK ] LoopNest.ColReduceSplitTailUnevenReorder (1988 ms)
2022-11-23T02:40:58.4835847Z [ RUN      ] LoopNest.ColReduceSplitMaskEvenReorder
2022-11-23T02:41:00.9928585Z [       OK ] LoopNest.ColReduceSplitMaskEvenReorder (2509 ms)
2022-11-23T02:41:00.9929226Z [ RUN      ] LoopNest.ColReduceSplitMaskUnevenReorder
2022-11-23T02:41:03.2726572Z [       OK ] LoopNest.ColReduceSplitMaskUnevenReorder (2279 ms)
2022-11-23T02:41:03.2727199Z [ RUN      ] LoopNest.ReorderAxisWithMultipleConds
2022-11-23T02:41:03.2762030Z [       OK ] LoopNest.ReorderAxisWithMultipleConds (3 ms)
2022-11-23T02:41:03.2762778Z [ RUN      ] LoopNest.VectorizeUse
2022-11-23T02:41:03.2777467Z [       OK ] LoopNest.VectorizeUse (1 ms)
2022-11-23T02:41:03.2777937Z [ RUN      ] LoopNest.Int64Direct
2022-11-23T02:41:03.2785281Z [       OK ] LoopNest.Int64Direct (0 ms)
2022-11-23T02:41:03.2785781Z [ RUN      ] LoopNest.Int64Compute
2022-11-23T02:41:03.2796221Z [       OK ] LoopNest.Int64Compute (1 ms)
2022-11-23T02:41:03.2797002Z [ RUN      ] LoopNest.DistributeLoopWithAllStmtsAsPivots
2022-11-23T02:41:03.2802538Z [       OK ] LoopNest.DistributeLoopWithAllStmtsAsPivots (0 ms)
2022-11-23T02:41:03.2803168Z [ RUN      ] LoopNest.DistributeLoopWithOneStmtAsPivot
2022-11-23T02:41:03.2807715Z [       OK ] LoopNest.DistributeLoopWithOneStmtAsPivot (0 ms)
2022-11-23T02:41:03.2808371Z [ RUN      ] LoopNest.DistributeLoopWithoutAnyPivot
2022-11-23T02:41:03.2813520Z [       OK ] LoopNest.DistributeLoopWithoutAnyPivot (0 ms)
2022-11-23T02:41:03.2814135Z [ RUN      ] LoopNest.DistributeLoopOverInnerLoops
2022-11-23T02:41:03.2819192Z [       OK ] LoopNest.DistributeLoopOverInnerLoops (0 ms)
2022-11-23T02:41:03.2819598Z [ RUN      ] LoopNest.DistributeLoopAndParentsWithoutAnyPivot
2022-11-23T02:41:03.2833359Z [       OK ] LoopNest.DistributeLoopAndParentsWithoutAnyPivot (1 ms)
2022-11-23T02:41:03.2833725Z [ RUN      ] LoopNest.fuseLoopsSimple
2022-11-23T02:41:03.2857332Z [       OK ] LoopNest.fuseLoopsSimple (2 ms)
2022-11-23T02:41:03.2857650Z [ RUN      ] LoopNest.fuseLoopsMultiple
2022-11-23T02:41:03.2928033Z [       OK ] LoopNest.fuseLoopsMultiple (7 ms)
2022-11-23T02:41:03.2928363Z [ RUN      ] LoopNest.fuseLoopsNested
2022-11-23T02:41:03.3011264Z [       OK ] LoopNest.fuseLoopsNested (8 ms)
2022-11-23T02:41:03.3011572Z [ RUN      ] LoopNest.fuseLoopsNested2D
2022-11-23T02:41:03.3055550Z [       OK ] LoopNest.fuseLoopsNested2D (4 ms)
2022-11-23T02:41:03.3055927Z [ RUN      ] LoopNest.fuseLoopsNested2DInner
2022-11-23T02:41:03.3083237Z [       OK ] LoopNest.fuseLoopsNested2DInner (2 ms)
2022-11-23T02:41:03.3083874Z [ RUN      ] LoopNest.fuseLoopsDifferentStopBounds
2022-11-23T02:41:03.3087492Z [       OK ] LoopNest.fuseLoopsDifferentStopBounds (0 ms)
2022-11-23T02:41:03.3087870Z [ RUN      ] LoopNest.fuseLoopsDifferentStartBounds
2022-11-23T02:41:03.3090357Z [       OK ] LoopNest.fuseLoopsDifferentStartBounds (0 ms)
2022-11-23T02:41:03.3090705Z [ RUN      ] LoopNest.fuseLoopsNotContiguous
2022-11-23T02:41:03.3110706Z [       OK ] LoopNest.fuseLoopsNotContiguous (1 ms)
2022-11-23T02:41:03.3111073Z [ RUN      ] LoopNest.fuseLoopsWithDifferentParents
2022-11-23T02:41:03.3113852Z [       OK ] LoopNest.fuseLoopsWithDifferentParents (0 ms)
2022-11-23T02:41:03.3114234Z [ RUN      ] LoopNest.fuseLoopsWithVariableBounds
2022-11-23T02:41:03.3154517Z [       OK ] LoopNest.fuseLoopsWithVariableBounds (4 ms)
2022-11-23T02:41:03.3154884Z [ RUN      ] LoopNest.fuseLoopsWithExprBounds
2022-11-23T02:41:03.3214001Z [       OK ] LoopNest.fuseLoopsWithExprBounds (5 ms)
2022-11-23T02:41:03.3214378Z [ RUN      ] LoopNest.fuseLoopsWithDifferentExprBounds
2022-11-23T02:41:03.3268256Z [       OK ] LoopNest.fuseLoopsWithDifferentExprBounds (5 ms)
2022-11-23T02:41:03.3268936Z [ RUN      ] LoopNest.fuseLoopsWithNonOverlappingBufferAccesses
2022-11-23T02:41:03.3338283Z [       OK ] LoopNest.fuseLoopsWithNonOverlappingBufferAccesses (6 ms)
2022-11-23T02:41:03.3339042Z [ RUN      ] LoopNest.fuseLoopsWithNonOverlapping2DBufferAccesses
2022-11-23T02:41:03.3465632Z [       OK ] LoopNest.fuseLoopsWithNonOverlapping2DBufferAccesses (12 ms)
2022-11-23T02:41:03.3466234Z [ RUN      ] LoopNest.fuseLoopsWithReductions
2022-11-23T02:41:03.3536531Z [       OK ] LoopNest.fuseLoopsWithReductions (7 ms)
2022-11-23T02:41:03.3536975Z [ RUN      ] LoopNest.fuseLoopsWith2DReductions
2022-11-23T02:41:03.3661207Z [       OK ] LoopNest.fuseLoopsWith2DReductions (12 ms)
2022-11-23T02:41:03.3661561Z [ RUN      ] LoopNest.fuseLoopsWithComplexIndices
2022-11-23T02:41:03.3774662Z [       OK ] LoopNest.fuseLoopsWithComplexIndices (11 ms)
2022-11-23T02:41:03.3775203Z [ RUN      ] LoopNest.fuseLoopsWithMixedLoopVarsAsIndices
2022-11-23T02:41:03.3921170Z [       OK ] LoopNest.fuseLoopsWithMixedLoopVarsAsIndices (14 ms)
2022-11-23T02:41:03.3921581Z [ RUN      ] LoopNest.fuseLoopsWithTranspose
2022-11-23T02:41:03.4000009Z [       OK ] LoopNest.fuseLoopsWithTranspose (7 ms)
2022-11-23T02:41:03.4000386Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies1
2022-11-23T02:41:03.4072007Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies1 (7 ms)
2022-11-23T02:41:03.4072411Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies2
2022-11-23T02:41:03.4139956Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies2 (6 ms)
2022-11-23T02:41:03.4140359Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies3
2022-11-23T02:41:03.4255128Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies3 (11 ms)
2022-11-23T02:41:03.4255587Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies4
2022-11-23T02:41:03.4419194Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies4 (16 ms)
2022-11-23T02:41:03.4419585Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies5
2022-11-23T02:41:03.4497896Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies5 (7 ms)
2022-11-23T02:41:03.4498302Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies6
2022-11-23T02:41:03.4576442Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies6 (7 ms)
2022-11-23T02:41:03.4576828Z [ RUN      ] LoopNest.fuseLoopsThatViolateDependencies7
2022-11-23T02:41:03.4648171Z [       OK ] LoopNest.fuseLoopsThatViolateDependencies7 (7 ms)
2022-11-23T02:41:03.4648759Z [ RUN      ] LoopNest.areLoopsPerfectlyNested
2022-11-23T02:41:03.4649302Z [       OK ] LoopNest.areLoopsPerfectlyNested (0 ms)
2022-11-23T02:41:03.4649891Z [ RUN      ] LoopNest.reorderNestedLoops2D
2022-11-23T02:41:03.4650483Z [       OK ] LoopNest.reorderNestedLoops2D (0 ms)
2022-11-23T02:41:03.4650943Z [ RUN      ] LoopNest.reorderNestedLoops3D
2022-11-23T02:41:03.4651489Z [       OK ] LoopNest.reorderNestedLoops3D (0 ms)
2022-11-23T02:41:03.4652037Z [ RUN      ] LoopNest.reorderNestedLoops4D
2022-11-23T02:41:03.4652683Z [       OK ] LoopNest.reorderNestedLoops4D (0 ms)
2022-11-23T02:41:03.4653271Z [ RUN      ] LoopNest.reorderTrivialPermutation
2022-11-23T02:41:03.4653874Z [       OK ] LoopNest.reorderTrivialPermutation (0 ms)
2022-11-23T02:41:03.4654474Z [ RUN      ] LoopNest.reorderInvalidPermutations
2022-11-23T02:41:03.4669118Z [       OK ] LoopNest.reorderInvalidPermutations (1 ms)
2022-11-23T02:41:03.4669454Z [ RUN      ] LoopNest.reorderInvalidLoopNest
2022-11-23T02:41:03.4671747Z [       OK ] LoopNest.reorderInvalidLoopNest (0 ms)
2022-11-23T02:41:03.4672130Z [ RUN      ] LoopNest.compressBufferSimple
2022-11-23T02:41:03.4677608Z [       OK ] LoopNest.compressBufferSimple (0 ms)
2022-11-23T02:41:03.4677975Z [ RUN      ] LoopNest.compressBufferMultipleDims
2022-11-23T02:41:03.4682616Z [       OK ] LoopNest.compressBufferMultipleDims (0 ms)
2022-11-23T02:41:03.4682981Z [ RUN      ] LoopNest.compressBufferMultipleDims2
2022-11-23T02:41:03.4688713Z [       OK ] LoopNest.compressBufferMultipleDims2 (0 ms)
2022-11-23T02:41:03.4689152Z [ RUN      ] LoopNest.compressBufferDifferentOrderIndices
2022-11-23T02:41:03.4693719Z [       OK ] LoopNest.compressBufferDifferentOrderIndices (0 ms)
2022-11-23T02:41:03.4694103Z [ RUN      ] LoopNest.compressBufferVariableBounds
2022-11-23T02:41:03.4699233Z [       OK ] LoopNest.compressBufferVariableBounds (0 ms)
2022-11-23T02:41:03.4699642Z [ RUN      ] LoopNest.compressBufferNoCommonParentLoops
2022-11-23T02:41:03.4704394Z [       OK ] LoopNest.compressBufferNoCommonParentLoops (0 ms)
2022-11-23T02:41:03.4704934Z [ RUN      ] LoopNest.compressBufferIndicesMixed
2022-11-23T02:41:03.4709682Z [       OK ] LoopNest.compressBufferIndicesMixed (0 ms)
2022-11-23T02:41:03.4710032Z [ RUN      ] LoopNest.compressMultipleBuffers
2022-11-23T02:41:03.4717917Z [       OK ] LoopNest.compressMultipleBuffers (0 ms)
2022-11-23T02:41:03.4718238Z [ RUN      ] LoopNest.sanitizeNames
2022-11-23T02:41:03.4846490Z [       OK ] LoopNest.sanitizeNames (12 ms)
2022-11-23T02:41:03.4846834Z [----------] 174 tests from LoopNest (27097 ms total)
2022-11-23T02:41:03.4846991Z 
2022-11-23T02:41:03.4847134Z [----------] 31 tests from MemDependency
2022-11-23T02:41:03.4847860Z [ RUN      ] MemDependency.BoundOverlap
2022-11-23T02:41:03.5035862Z [       OK ] MemDependency.BoundOverlap (18 ms)
2022-11-23T02:41:03.5036234Z [ RUN      ] MemDependency.BoundComparison
2022-11-23T02:41:03.5140782Z [       OK ] MemDependency.BoundComparison (10 ms)
2022-11-23T02:41:03.5141154Z [ RUN      ] MemDependency.BoundOverlapSymbolic
2022-11-23T02:41:03.5270655Z [       OK ] MemDependency.BoundOverlapSymbolic (12 ms)
2022-11-23T02:41:03.5271006Z [ RUN      ] MemDependency.BoundOverlapMultiDim
2022-11-23T02:41:03.5417388Z [       OK ] MemDependency.BoundOverlapMultiDim (14 ms)
2022-11-23T02:41:03.5417734Z [ RUN      ] MemDependency.BoundSubtract
2022-11-23T02:41:03.5537298Z [       OK ] MemDependency.BoundSubtract (11 ms)
2022-11-23T02:41:03.5537654Z [ RUN      ] MemDependency.BoundSubtractSymbolic
2022-11-23T02:41:03.5873383Z [       OK ] MemDependency.BoundSubtractSymbolic (33 ms)
2022-11-23T02:41:03.5873791Z [ RUN      ] MemDependency.BoundSubtractMultiDim
2022-11-23T02:41:03.6160337Z [       OK ] MemDependency.BoundSubtractMultiDim (28 ms)
2022-11-23T02:41:03.6160772Z [ RUN      ] MemDependency.BoundSubtractMultiDimSymbolic
2022-11-23T02:41:03.6550653Z [       OK ] MemDependency.BoundSubtractMultiDimSymbolic (39 ms)
2022-11-23T02:41:03.6551078Z [ RUN      ] MemDependency.MemDependencyCheckerSimple
2022-11-23T02:41:03.6556756Z [       OK ] MemDependency.MemDependencyCheckerSimple (0 ms)
2022-11-23T02:41:03.6557354Z [ RUN      ] MemDependency.MemDependencyCheckerMultiStmt
2022-11-23T02:41:03.6567703Z [       OK ] MemDependency.MemDependencyCheckerMultiStmt (1 ms)
2022-11-23T02:41:03.6568112Z [ RUN      ] MemDependency.MemDependencyCheckerOverlap
2022-11-23T02:41:03.6577311Z [       OK ] MemDependency.MemDependencyCheckerOverlap (0 ms)
2022-11-23T02:41:03.6577786Z [ RUN      ] MemDependency.MemDependencyCheckerLoop
2022-11-23T02:41:03.6600256Z [       OK ] MemDependency.MemDependencyCheckerLoop (2 ms)
2022-11-23T02:41:03.6600660Z [ RUN      ] MemDependency.MemDependencyCheckerLoopReduce
2022-11-23T02:41:03.6640032Z [       OK ] MemDependency.MemDependencyCheckerLoopReduce (3 ms)
2022-11-23T02:41:03.6640483Z [ RUN      ] MemDependency.MemDependencyCheckerLoopReduceExpanded
2022-11-23T02:41:03.6680005Z [       OK ] MemDependency.MemDependencyCheckerLoopReduceExpanded (3 ms)
2022-11-23T02:41:03.6680449Z [ RUN      ] MemDependency.MemDependencyCheckerInputsOutputs
2022-11-23T02:41:03.6705640Z [       OK ] MemDependency.MemDependencyCheckerInputsOutputs (2 ms)
2022-11-23T02:41:03.6706100Z [ RUN      ] MemDependency.MemDependencyCheckerOutputDoesntDepend
2022-11-23T02:41:03.6723411Z [       OK ] MemDependency.MemDependencyCheckerOutputDoesntDepend (1 ms)
2022-11-23T02:41:03.6723840Z [ RUN      ] MemDependency.MemDependencyCheckerLoopBounds
2022-11-23T02:41:03.6873617Z [       OK ] MemDependency.MemDependencyCheckerLoopBounds (14 ms)
2022-11-23T02:41:03.6874113Z [ RUN      ] MemDependency.MemDependencyCheckerLoopBoundsIndexShift
2022-11-23T02:41:03.7284057Z [       OK ] MemDependency.MemDependencyCheckerLoopBoundsIndexShift (40 ms)
2022-11-23T02:41:03.7284869Z [ RUN      ] MemDependency.MemDependencyCheckerLoopSelfDependency
2022-11-23T02:41:04.0075882Z [       OK ] MemDependency.MemDependencyCheckerLoopSelfDependency (279 ms)
2022-11-23T02:41:04.0076681Z [ RUN      ] MemDependency.MemDependencyCheckerLoopDistinctStrides
2022-11-23T02:41:04.0217327Z [       OK ] MemDependency.MemDependencyCheckerLoopDistinctStrides (14 ms)
2022-11-23T02:41:04.0218134Z [ RUN      ] MemDependency.MemDependencyCheckerLoopBoundsCond
2022-11-23T02:41:04.0490255Z [       OK ] MemDependency.MemDependencyCheckerLoopBoundsCond (27 ms)
2022-11-23T02:41:04.0681579Z [ RUN      ] MemDependency.MemDependencyCheckerIfThenElse
2022-11-23T02:41:04.0682332Z [       OK ] MemDependency.MemDependencyCheckerIfThenElse (19 ms)
2022-11-23T02:41:04.0682973Z [ RUN      ] MemDependency.MemDependencyCheckerCutLoop
2022-11-23T02:41:04.0969219Z [       OK ] MemDependency.MemDependencyCheckerCutLoop (28 ms)
2022-11-23T02:41:04.0969936Z [ RUN      ] MemDependency.MemDependencyCheckerDynamicShapes
2022-11-23T02:41:04.1405001Z [       OK ] MemDependency.MemDependencyCheckerDynamicShapes (43 ms)
2022-11-23T02:41:04.1405741Z [ RUN      ] MemDependency.MemDependencyCheckerMultiDim
2022-11-23T02:41:04.1925491Z [       OK ] MemDependency.MemDependencyCheckerMultiDim (52 ms)
2022-11-23T02:41:04.1926241Z [ RUN      ] MemDependency.MemDependencyCheckerComputeAPI
2022-11-23T02:41:04.2078667Z [       OK ] MemDependency.MemDependencyCheckerComputeAPI (15 ms)
2022-11-23T02:41:04.2079170Z [ RUN      ] MemDependency.MemDependencyCheckerComputeInline
2022-11-23T02:41:04.2195274Z [       OK ] MemDependency.MemDependencyCheckerComputeInline (11 ms)
2022-11-23T02:41:04.2195883Z [ RUN      ] MemDependency.MemDependencyCheckerComputeSplit
2022-11-23T02:41:04.2502636Z [       OK ] MemDependency.MemDependencyCheckerComputeSplit (30 ms)
2022-11-23T02:41:04.2503310Z [ RUN      ] MemDependency.MemDependencyCheckerComputeReorder
2022-11-23T02:41:04.2703036Z [       OK ] MemDependency.MemDependencyCheckerComputeReorder (19 ms)
2022-11-23T02:41:04.2703657Z [ RUN      ] MemDependency.MemDependencyCheckerComputeReduce
2022-11-23T02:41:04.2871787Z [       OK ] MemDependency.MemDependencyCheckerComputeReduce (16 ms)
2022-11-23T02:41:04.4954266Z [ RUN      ] MemDependency.MemDependencyCheckerComputeGEMM
2022-11-23T02:41:04.4954942Z [       OK ] MemDependency.MemDependencyCheckerComputeGEMM (208 ms)
2022-11-23T02:41:04.4955337Z [----------] 31 tests from MemDependency (1010 ms total)
2022-11-23T02:41:04.4955504Z 
2022-11-23T02:41:04.4955636Z [----------] 2 tests from Ops
2022-11-23T02:41:04.4955876Z [ RUN      ] Ops.Sum
2022-11-23T02:41:04.5509375Z [       OK ] Ops.Sum (55 ms)
2022-11-23T02:41:04.5509890Z [ RUN      ] Ops.ChannelsLastSum
2022-11-23T02:41:06.6113976Z [       OK ] Ops.ChannelsLastSum (2060 ms)
2022-11-23T02:41:06.6114499Z [----------] 2 tests from Ops (2115 ms total)
2022-11-23T02:41:06.6114650Z 
2022-11-23T02:41:06.6115650Z [----------] 10 tests from Quantization
2022-11-23T02:41:06.6116128Z [ RUN      ] Quantization.QuantDequantInt8
2022-11-23T02:41:06.6838039Z [       OK ] Quantization.QuantDequantInt8 (72 ms)
2022-11-23T02:41:06.6838426Z [ RUN      ] Quantization.QuantDequantUInt8
2022-11-23T02:41:06.7052373Z [       OK ] Quantization.QuantDequantUInt8 (21 ms)
2022-11-23T02:41:06.7053041Z [ RUN      ] Quantization.QuantDequantUInt8_NLC
2022-11-23T02:41:06.7339446Z [       OK ] Quantization.QuantDequantUInt8_NLC (28 ms)
2022-11-23T02:41:06.7339997Z [ RUN      ] Quantization.QuantAddDequantInt8
2022-11-23T02:41:06.7669422Z [       OK ] Quantization.QuantAddDequantInt8 (32 ms)
2022-11-23T02:41:06.7669803Z [ RUN      ] Quantization.QuantAddDequantUInt8
2022-11-23T02:41:06.7963525Z [       OK ] Quantization.QuantAddDequantUInt8 (29 ms)
2022-11-23T02:41:06.7963902Z [ RUN      ] Quantization.QuantSigmoidDequantUInt8
2022-11-23T02:41:06.8231288Z [       OK ] Quantization.QuantSigmoidDequantUInt8 (26 ms)
2022-11-23T02:41:06.8231651Z [ RUN      ] Quantization.QuantMulDequantUInt8
2022-11-23T02:41:06.8544772Z [       OK ] Quantization.QuantMulDequantUInt8 (31 ms)
2022-11-23T02:41:06.8545194Z [ RUN      ] Quantization.QuantUpsampleNearst2dDequantUInt8
2022-11-23T02:41:06.9081896Z [       OK ] Quantization.QuantUpsampleNearst2dDequantUInt8 (53 ms)
2022-11-23T02:41:06.9082279Z [ RUN      ] Quantization.UpsampleNearst2d
2022-11-23T02:41:06.9332938Z [       OK ] Quantization.UpsampleNearst2d (25 ms)
2022-11-23T02:41:06.9333306Z [ RUN      ] Quantization.QuantCatDequantUInt8
2022-11-23T02:41:07.0094596Z [       OK ] Quantization.QuantCatDequantUInt8 (76 ms)
2022-11-23T02:41:07.0095125Z [----------] 10 tests from Quantization (398 ms total)
2022-11-23T02:41:07.0095369Z 
2022-11-23T02:41:07.0095565Z [----------] 2 tests from BufLiveRange
2022-11-23T02:41:07.0095938Z [ RUN      ] BufLiveRange.SingleRangeLine
2022-11-23T02:41:07.0096364Z [       OK ] BufLiveRange.SingleRangeLine (0 ms)
2022-11-23T02:41:07.0096747Z [ RUN      ] BufLiveRange.MulRangeLine
2022-11-23T02:41:07.0098865Z [       OK ] BufLiveRange.MulRangeLine (0 ms)
2022-11-23T02:41:07.0099458Z [----------] 2 tests from BufLiveRange (0 ms total)
2022-11-23T02:41:07.0099748Z 
2022-11-23T02:41:07.0099938Z [----------] 6 tests from MemPlanning
2022-11-23T02:41:07.0100244Z [ RUN      ] MemPlanning.MemReuseWithTypeCast
2022-11-23T02:41:07.0823186Z [       OK ] MemPlanning.MemReuseWithTypeCast (72 ms)
2022-11-23T02:41:07.0823575Z [ RUN      ] MemPlanning.NoMemReuseForLargerType
2022-11-23T02:41:07.1521501Z [       OK ] MemPlanning.NoMemReuseForLargerType (69 ms)
2022-11-23T02:41:07.1521860Z [ RUN      ] MemPlanning.SameBufSizeMemReuse
2022-11-23T02:41:07.1577809Z [       OK ] MemPlanning.SameBufSizeMemReuse (5 ms)
2022-11-23T02:41:07.1578186Z [ RUN      ] MemPlanning.SameBufSizeMultiMemReuses
2022-11-23T02:41:07.1645171Z [       OK ] MemPlanning.SameBufSizeMultiMemReuses (6 ms)
2022-11-23T02:41:07.1645850Z [ RUN      ] MemPlanning.SameBufSizeMultiMemReusesOfOneBuf
2022-11-23T02:41:07.1724220Z [       OK ] MemPlanning.SameBufSizeMultiMemReusesOfOneBuf (7 ms)
2022-11-23T02:41:07.1724669Z [ RUN      ] MemPlanning.SmallerBufSizeNonMemReuse
2022-11-23T02:41:07.1780182Z [       OK ] MemPlanning.SmallerBufSizeNonMemReuse (5 ms)
2022-11-23T02:41:07.1780880Z [----------] 6 tests from MemPlanning (168 ms total)
2022-11-23T02:41:07.1781056Z 
2022-11-23T02:41:07.1781211Z [----------] 45 tests from Reductions
2022-11-23T02:41:07.1781495Z [ RUN      ] Reductions.ReduceSum0D_1
2022-11-23T02:41:07.1792220Z [       OK ] Reductions.ReduceSum0D_1 (1 ms)
2022-11-23T02:41:07.1792600Z [ RUN      ] Reductions.ReduceSum0D_2
2022-11-23T02:41:07.1795941Z [       OK ] Reductions.ReduceSum0D_2 (0 ms)
2022-11-23T02:41:07.1796304Z [ RUN      ] Reductions.ReduceSum1D
2022-11-23T02:41:07.1810984Z [       OK ] Reductions.ReduceSum1D (1 ms)
2022-11-23T02:41:07.1811360Z [ RUN      ] Reductions.ReduceSum2D
2022-11-23T02:41:07.1862669Z [       OK ] Reductions.ReduceSum2D (5 ms)
2022-11-23T02:41:07.1863474Z [ RUN      ] Reductions.ReduceSum3D
2022-11-23T02:41:07.2348999Z [       OK ] Reductions.ReduceSum3D (48 ms)
2022-11-23T02:41:07.2349345Z [ RUN      ] Reductions.ReduceSum10D
2022-11-23T02:41:19.9891759Z [       OK ] Reductions.ReduceSum10D (12754 ms)
2022-11-23T02:41:19.9892132Z [ RUN      ] Reductions.ReduceProduct
2022-11-23T02:41:19.9952447Z [       OK ] Reductions.ReduceProduct (6 ms)
2022-11-23T02:41:19.9952740Z [ RUN      ] Reductions.ReduceMax
2022-11-23T02:41:20.0010012Z [       OK ] Reductions.ReduceMax (5 ms)
2022-11-23T02:41:20.0010357Z [ RUN      ] Reductions.ReduceMinCustomInitializer
2022-11-23T02:41:20.0030249Z [       OK ] Reductions.ReduceMinCustomInitializer (2 ms)
2022-11-23T02:41:20.0030575Z [ RUN      ] Reductions.ReduceAnyAll
2022-11-23T02:41:20.0343298Z [       OK ] Reductions.ReduceAnyAll (31 ms)
2022-11-23T02:41:20.0343627Z [ RUN      ] Reductions.ReduceMatmul2D
2022-11-23T02:41:20.0499827Z [       OK ] Reductions.ReduceMatmul2D (15 ms)
2022-11-23T02:41:20.0500132Z [ RUN      ] Reductions.ReduceRfactorLike
2022-11-23T02:41:20.0663079Z [       OK ] Reductions.ReduceRfactorLike (16 ms)
2022-11-23T02:41:20.0663435Z [ RUN      ] Reductions.ReduceAsProducer
2022-11-23T02:41:20.1019814Z [       OK ] Reductions.ReduceAsProducer (35 ms)
2022-11-23T02:41:20.1020137Z [ RUN      ] Reductions.ReduceAsConsumer
2022-11-23T02:41:20.1554088Z [       OK ] Reductions.ReduceAsConsumer (53 ms)
2022-11-23T02:41:20.1554471Z [ RUN      ] Reductions.SplitReduceAxis
2022-11-23T02:41:20.1799931Z [       OK ] Reductions.SplitReduceAxis (24 ms)
2022-11-23T02:41:20.1800255Z [ RUN      ] Reductions.SplitNonReduceAxis
2022-11-23T02:41:20.2324096Z [       OK ] Reductions.SplitNonReduceAxis (52 ms)
2022-11-23T02:41:20.2324477Z [ RUN      ] Reductions.ReorderedReductionInitializer
2022-11-23T02:41:20.2979126Z [       OK ] Reductions.ReorderedReductionInitializer (65 ms)
2022-11-23T02:41:20.2979488Z [ RUN      ] Reductions.ReduceRfactor
2022-11-23T02:41:20.3125725Z [       OK ] Reductions.ReduceRfactor (14 ms)
2022-11-23T02:41:20.3126123Z [ RUN      ] Reductions.Reduce3DRfactorInner
2022-11-23T02:41:20.5082884Z [       OK ] Reductions.Reduce3DRfactorInner (195 ms)
2022-11-23T02:41:20.5083233Z [ RUN      ] Reductions.Reduce3DRfactorOuter
2022-11-23T02:41:20.7033510Z [       OK ] Reductions.Reduce3DRfactorOuter (194 ms)
2022-11-23T02:41:20.7034150Z [ RUN      ] Reductions.ReduceRepeatedInternalRfactor
2022-11-23T02:41:23.9470261Z [       OK ] Reductions.ReduceRepeatedInternalRfactor (3243 ms)
2022-11-23T02:41:23.9470855Z [ RUN      ] Reductions.ReduceSplitTail
2022-11-23T02:41:24.6285045Z [       OK ] Reductions.ReduceSplitTail (681 ms)
2022-11-23T02:41:24.6285566Z [ RUN      ] Reductions.ReduceSplitNoTail
2022-11-23T02:41:25.3819009Z [       OK ] Reductions.ReduceSplitNoTail (753 ms)
2022-11-23T02:41:25.3819527Z [ RUN      ] Reductions.ReduceOverSplitTail
2022-11-23T02:41:26.0467380Z [       OK ] Reductions.ReduceOverSplitTail (664 ms)
2022-11-23T02:41:26.0467910Z [ RUN      ] Reductions.ReduceSplitMask
2022-11-23T02:41:26.8450910Z [       OK ] Reductions.ReduceSplitMask (798 ms)
2022-11-23T02:41:26.8451451Z [ RUN      ] Reductions.ReduceSplitNoMask
2022-11-23T02:41:27.6528927Z [       OK ] Reductions.ReduceSplitNoMask (807 ms)
2022-11-23T02:41:27.6529489Z [ RUN      ] Reductions.ReduceOverSplitMask
2022-11-23T02:41:28.2890714Z [       OK ] Reductions.ReduceOverSplitMask (636 ms)
2022-11-23T02:41:28.4116436Z [ RUN      ] Reductions.ReduceSplitRfactor
2022-11-23T02:41:28.4116995Z [       OK ] Reductions.ReduceSplitRfactor (122 ms)
2022-11-23T02:41:28.4118247Z [ RUN      ] Reductions.ReduceOverSplitRfactor
2022-11-23T02:41:28.4321634Z [       OK ] Reductions.ReduceOverSplitRfactor (20 ms)
2022-11-23T02:41:28.4322250Z [ RUN      ] Reductions.ReduceInlineReduction
2022-11-23T02:41:28.4334276Z [       OK ] Reductions.ReduceInlineReduction (1 ms)
2022-11-23T02:41:28.4334858Z [ RUN      ] Reductions.ReduceInlineConsumer
2022-11-23T02:41:28.5829534Z [       OK ] Reductions.ReduceInlineConsumer (149 ms)
2022-11-23T02:41:28.5830140Z [ RUN      ] Reductions.ReduceInlineReducerInternal
2022-11-23T02:41:28.7343885Z [       OK ] Reductions.ReduceInlineReducerInternal (151 ms)
2022-11-23T02:41:28.7344539Z [ RUN      ] Reductions.ReductionCacheAccessesOperatorAxis
2022-11-23T02:41:28.8054922Z [       OK ] Reductions.ReductionCacheAccessesOperatorAxis (71 ms)
2022-11-23T02:41:28.8055651Z [ RUN      ] Reductions.ReductionCacheAccessesOuterReduceAxis
2022-11-23T02:41:28.8729858Z [       OK ] Reductions.ReductionCacheAccessesOuterReduceAxis (67 ms)
2022-11-23T02:41:28.8730624Z [ RUN      ] Reductions.ReductionCacheAccessesInnerReduceAxis
2022-11-23T02:41:28.9407586Z [       OK ] Reductions.ReductionCacheAccessesInnerReduceAxis (67 ms)
2022-11-23T02:41:28.9408258Z [ RUN      ] Reductions.ReductionCacheBodyAccess
2022-11-23T02:41:28.9608596Z [       OK ] Reductions.ReductionCacheBodyAccess (20 ms)
2022-11-23T02:41:28.9609228Z [ RUN      ] Reductions.ReductionCacheConsumerAccess
2022-11-23T02:41:28.9822894Z [       OK ] Reductions.ReductionCacheConsumerAccess (21 ms)
2022-11-23T02:41:28.9823577Z [ RUN      ] Reductions.ReductionSplitCacheConsumerAccess
2022-11-23T02:41:29.0060778Z [       OK ] Reductions.ReductionSplitCacheConsumerAccess (23 ms)
2022-11-23T02:41:29.0061524Z [ RUN      ] Reductions.ReductionReorderCacheConsumerAccess
2022-11-23T02:41:29.0274860Z [       OK ] Reductions.ReductionReorderCacheConsumerAccess (21 ms)
2022-11-23T02:41:29.0275549Z [ RUN      ] Reductions.ReductionRfactorCacheTempOuter
2022-11-23T02:41:29.2994851Z [       OK ] Reductions.ReductionRfactorCacheTempOuter (271 ms)
2022-11-23T02:41:29.2995491Z [ RUN      ] Reductions.ReductionRfactorCacheTempInner
2022-11-23T02:41:29.5121882Z [       OK ] Reductions.ReductionRfactorCacheTempInner (212 ms)
2022-11-23T02:41:29.5137390Z [ RUN      ] Reductions.ReductionVectorize
2022-11-23T02:41:29.5305021Z [       OK ] Reductions.ReductionVectorize (18 ms)
2022-11-23T02:41:29.5305603Z [ RUN      ] Reductions.ReductionVectorizeInner
2022-11-23T02:41:29.5310279Z [       OK ] Reductions.ReductionVectorizeInner (0 ms)
2022-11-23T02:41:29.5310871Z [ RUN      ] Reductions.ReductionVectorizeRfactor
2022-11-23T02:41:29.5506114Z [       OK ] Reductions.ReductionVectorizeRfactor (19 ms)
2022-11-23T02:41:29.5506685Z [ RUN      ] Reductions.InitFunction
2022-11-23T02:41:29.5530359Z [       OK ] Reductions.InitFunction (2 ms)
2022-11-23T02:41:29.5530892Z [----------] 45 tests from Reductions (22375 ms total)
2022-11-23T02:41:29.5531130Z 
2022-11-23T02:41:29.5531385Z [----------] 69 tests from Registerizer
2022-11-23T02:41:29.5532673Z [ RUN      ] Registerizer.RegisterizerSimple
2022-11-23T02:41:29.5584008Z [       OK ] Registerizer.RegisterizerSimple (5 ms)
2022-11-23T02:41:29.5584526Z [ RUN      ] Registerizer.RegisterizerLoop
2022-11-23T02:41:29.5602663Z [       OK ] Registerizer.RegisterizerLoop (1 ms)
2022-11-23T02:41:29.5603242Z [ RUN      ] Registerizer.RegisterizerLoopFixedLoad
2022-11-23T02:41:29.5624026Z [       OK ] Registerizer.RegisterizerLoopFixedLoad (2 ms)
2022-11-23T02:41:29.5624565Z [ RUN      ] Registerizer.RegisterizerLoopInternal
2022-11-23T02:41:29.5643827Z [       OK ] Registerizer.RegisterizerLoopInternal (1 ms)
2022-11-23T02:41:29.5644445Z [ RUN      ] Registerizer.RegisterizerLoopInternalLoadOverlap
2022-11-23T02:41:29.5669093Z [       OK ] Registerizer.RegisterizerLoopInternalLoadOverlap (2 ms)
2022-11-23T02:41:29.5669819Z [ RUN      ] Registerizer.RegisterizerLoopInternalRepeated
2022-11-23T02:41:29.5718973Z [       OK ] Registerizer.RegisterizerLoopInternalRepeated (4 ms)
2022-11-23T02:41:29.5719603Z [ RUN      ] Registerizer.RegisterizerLoopInternalRepeatedOverlapLoopVar
2022-11-23T02:41:29.5756947Z [       OK ] Registerizer.RegisterizerLoopInternalRepeatedOverlapLoopVar (3 ms)
2022-11-23T02:41:29.5757738Z [ RUN      ] Registerizer.RegisterizerLoopInternalRepeatedOverlapOther
2022-11-23T02:41:29.5795005Z [       OK ] Registerizer.RegisterizerLoopInternalRepeatedOverlapOther (3 ms)
2022-11-23T02:41:29.5795570Z [ RUN      ] Registerizer.RegisterizerMultiVar
2022-11-23T02:41:29.5834152Z [       OK ] Registerizer.RegisterizerMultiVar (3 ms)
2022-11-23T02:41:29.5834759Z [ RUN      ] Registerizer.RegisterizerVariableLoad
2022-11-23T02:41:29.5865127Z [       OK ] Registerizer.RegisterizerVariableLoad (3 ms)
2022-11-23T02:41:29.5865749Z [ RUN      ] Registerizer.RegisterizerSymbolicIndices
2022-11-23T02:41:29.5888373Z [       OK ] Registerizer.RegisterizerSymbolicIndices (2 ms)
2022-11-23T02:41:29.5888952Z [ RUN      ] Registerizer.RegisterizerMultiLoop
2022-11-23T02:41:29.5924737Z [       OK ] Registerizer.RegisterizerMultiLoop (3 ms)
2022-11-23T02:41:29.5925318Z [ RUN      ] Registerizer.RegisterizerRepeated
2022-11-23T02:41:29.5973723Z [       OK ] Registerizer.RegisterizerRepeated (4 ms)
2022-11-23T02:41:29.5974319Z [ RUN      ] Registerizer.RegisterizerNoLoads
2022-11-23T02:41:29.5994178Z [       OK ] Registerizer.RegisterizerNoLoads (2 ms)
2022-11-23T02:41:29.5994803Z [ RUN      ] Registerizer.RegisterizerNoRepeatedStores
2022-11-23T02:41:29.6017893Z [       OK ] Registerizer.RegisterizerNoRepeatedStores (2 ms)
2022-11-23T02:41:29.6018501Z [ RUN      ] Registerizer.RegisterizerMultiVarOverlap
2022-11-23T02:41:29.6065603Z [       OK ] Registerizer.RegisterizerMultiVarOverlap (4 ms)
2022-11-23T02:41:29.6066160Z [ RUN      ] Registerizer.RegisterizerAllocs
2022-11-23T02:41:29.6108286Z [       OK ] Registerizer.RegisterizerAllocs (4 ms)
2022-11-23T02:41:29.6108899Z [ RUN      ] Registerizer.RegisterizerNoInitializer
2022-11-23T02:41:29.6125953Z [       OK ] Registerizer.RegisterizerNoInitializer (1 ms)
2022-11-23T02:41:29.6126576Z [ RUN      ] Registerizer.RegisterizerNoInitializerLoopVar
2022-11-23T02:41:29.6143656Z [       OK ] Registerizer.RegisterizerNoInitializerLoopVar (1 ms)
2022-11-23T02:41:29.6144260Z [ RUN      ] Registerizer.RegisterizerLoadThenStore
2022-11-23T02:41:29.6168291Z [       OK ] Registerizer.RegisterizerLoadThenStore (2 ms)
2022-11-23T02:41:29.6168886Z [ RUN      ] Registerizer.RegisterizerParallelized
2022-11-23T02:41:29.6207743Z [       OK ] Registerizer.RegisterizerParallelized (3 ms)
2022-11-23T02:41:29.6208357Z [ RUN      ] Registerizer.RegisterizerConditionAfter
2022-11-23T02:41:29.6231377Z [       OK ] Registerizer.RegisterizerConditionAfter (2 ms)
2022-11-23T02:41:29.6232002Z [ RUN      ] Registerizer.RegisterizerConditionBefore
2022-11-23T02:41:29.6253229Z [       OK ] Registerizer.RegisterizerConditionBefore (2 ms)
2022-11-23T02:41:29.6253847Z [ RUN      ] Registerizer.RegisterizerConditionInside
2022-11-23T02:41:29.6283153Z [       OK ] Registerizer.RegisterizerConditionInside (2 ms)
2022-11-23T02:41:29.6283819Z [ RUN      ] Registerizer.RegisterizerConditionInsideOverlap1
2022-11-23T02:41:29.6315072Z [       OK ] Registerizer.RegisterizerConditionInsideOverlap1 (3 ms)
2022-11-23T02:41:29.6315735Z [ RUN      ] Registerizer.RegisterizerConditionInsideOverlap2
2022-11-23T02:41:29.6361359Z [       OK ] Registerizer.RegisterizerConditionInsideOverlap2 (4 ms)
2022-11-23T02:41:29.6362110Z [ RUN      ] Registerizer.RegisterizerConditionHidden
2022-11-23T02:41:29.6926370Z [       OK ] Registerizer.RegisterizerConditionHidden (56 ms)
2022-11-23T02:41:29.6926947Z [ RUN      ] Registerizer.RegisterizerConditionUnhidden
2022-11-23T02:41:29.6956579Z [       OK ] Registerizer.RegisterizerConditionUnhidden (3 ms)
2022-11-23T02:41:29.6957407Z [ RUN      ] Registerizer.RegisterizerCondCondition
2022-11-23T02:41:29.6985459Z [       OK ] Registerizer.RegisterizerCondCondition (2 ms)
2022-11-23T02:41:29.6986141Z [ RUN      ] Registerizer.RegisterizerCondConditionUnhidden
2022-11-23T02:41:29.7017132Z [       OK ] Registerizer.RegisterizerCondConditionUnhidden (3 ms)
2022-11-23T02:41:29.7017812Z [ RUN      ] Registerizer.RegisterizerIfThenElseHidden
2022-11-23T02:41:29.7071381Z [       OK ] Registerizer.RegisterizerIfThenElseHidden (5 ms)
2022-11-23T02:41:29.7072028Z [ RUN      ] Registerizer.RegisterizerIfThenElseUnhidden
2022-11-23T02:41:29.7131782Z [       OK ] Registerizer.RegisterizerIfThenElseUnhidden (6 ms)
2022-11-23T02:41:29.7132194Z [ RUN      ] Registerizer.RegisterizerIfThenElseNested
2022-11-23T02:41:29.7160295Z [       OK ] Registerizer.RegisterizerIfThenElseNested (2 ms)
2022-11-23T02:41:29.7160700Z [ RUN      ] Registerizer.RegisterizerIfThenElseInternal
2022-11-23T02:41:29.7196677Z [       OK ] Registerizer.RegisterizerIfThenElseInternal (3 ms)
2022-11-23T02:41:29.7197362Z [ RUN      ] Registerizer.RegisterizerIfThenElseCondition
2022-11-23T02:41:29.7218515Z [       OK ] Registerizer.RegisterizerIfThenElseCondition (2 ms)
2022-11-23T02:41:29.7219214Z [ RUN      ] Registerizer.RegisterizerIfThenElseConditionUnhidden
2022-11-23T02:41:29.7248709Z [       OK ] Registerizer.RegisterizerIfThenElseConditionUnhidden (3 ms)
2022-11-23T02:41:29.7249186Z [ RUN      ] Registerizer.RegisterizerConditionBranchOnly
2022-11-23T02:41:29.7420116Z [       OK ] Registerizer.RegisterizerConditionBranchOnly (17 ms)
2022-11-23T02:41:29.7420543Z [ RUN      ] Registerizer.RegisterizerCondIfThenElse
2022-11-23T02:41:29.7452176Z [       OK ] Registerizer.RegisterizerCondIfThenElse (3 ms)
2022-11-23T02:41:29.7452572Z [ RUN      ] Registerizer.RegisterizerIfThenElseLoop
2022-11-23T02:41:29.7474445Z [       OK ] Registerizer.RegisterizerIfThenElseLoop (2 ms)
2022-11-23T02:41:29.7474886Z [ RUN      ] Registerizer.RegisterizerIfThenElseLoopCut
2022-11-23T02:41:29.7498508Z [       OK ] Registerizer.RegisterizerIfThenElseLoopCut (2 ms)
2022-11-23T02:41:29.7498904Z [ RUN      ] Registerizer.RegisterizerPartialAfter
2022-11-23T02:41:29.7540317Z [       OK ] Registerizer.RegisterizerPartialAfter (4 ms)
2022-11-23T02:41:29.7540680Z [ RUN      ] Registerizer.RegisterizerPartialBefore
2022-11-23T02:41:29.7581661Z [       OK ] Registerizer.RegisterizerPartialBefore (4 ms)
2022-11-23T02:41:29.7582039Z [ RUN      ] Registerizer.RegisterizerPartialInside
2022-11-23T02:41:29.7631782Z [       OK ] Registerizer.RegisterizerPartialInside (4 ms)
2022-11-23T02:41:29.7632180Z [ RUN      ] Registerizer.RegisterizerPartialCondition
2022-11-23T02:41:29.7691298Z [       OK ] Registerizer.RegisterizerPartialCondition (5 ms)
2022-11-23T02:41:29.7691749Z [ RUN      ] Registerizer.RegisterizerPartialConditionInternalCut
2022-11-23T02:41:29.7710712Z [       OK ] Registerizer.RegisterizerPartialConditionInternalCut (1 ms)
2022-11-23T02:41:29.7711198Z [ RUN      ] Registerizer.RegisterizerPartialConditionInternalStart
2022-11-23T02:41:29.7728821Z [       OK ] Registerizer.RegisterizerPartialConditionInternalStart (1 ms)
2022-11-23T02:41:29.7729261Z [ RUN      ] Registerizer.RegisterizerPartialOverlapsTwo
2022-11-23T02:41:29.7765925Z [       OK ] Registerizer.RegisterizerPartialOverlapsTwo (3 ms)
2022-11-23T02:41:29.7766325Z [ RUN      ] Registerizer.RegisterizerNestedBlocks
2022-11-23T02:41:29.7789452Z [       OK ] Registerizer.RegisterizerNestedBlocks (2 ms)
2022-11-23T02:41:29.7789833Z [ RUN      ] Registerizer.RegisterizerNestedConditions
2022-11-23T02:41:29.7814297Z [       OK ] Registerizer.RegisterizerNestedConditions (2 ms)
2022-11-23T02:41:29.7814721Z [ RUN      ] Registerizer.RegisterizerNestedConditionsUnhidden
2022-11-23T02:41:29.7842841Z [       OK ] Registerizer.RegisterizerNestedConditionsUnhidden (2 ms)
2022-11-23T02:41:29.7843277Z [ RUN      ] Registerizer.RegisterizerNestedConditionsHiddenFirst
2022-11-23T02:41:29.7881989Z [       OK ] Registerizer.RegisterizerNestedConditionsHiddenFirst (3 ms)
2022-11-23T02:41:29.7882475Z [ RUN      ] Registerizer.RegisterizerNestedConditionsHiddenSecond
2022-11-23T02:41:29.7920057Z [       OK ] Registerizer.RegisterizerNestedConditionsHiddenSecond (3 ms)
2022-11-23T02:41:29.7920496Z [ RUN      ] Registerizer.RegisterizerNestedConditionsCut
2022-11-23T02:41:29.7942709Z [       OK ] Registerizer.RegisterizerNestedConditionsCut (2 ms)
2022-11-23T02:41:29.7943165Z [ RUN      ] Registerizer.RegisterizerNestedConditionLoopHidden
2022-11-23T02:41:29.7978053Z [       OK ] Registerizer.RegisterizerNestedConditionLoopHidden (3 ms)
2022-11-23T02:41:29.7978497Z [ RUN      ] Registerizer.RegisterizerNestedConditionThreeDeep
2022-11-23T02:41:29.8049684Z [       OK ] Registerizer.RegisterizerNestedConditionThreeDeep (7 ms)
2022-11-23T02:41:29.8050090Z [ RUN      ] Registerizer.RegisterizerNestedLoopSimple
2022-11-23T02:41:29.8073095Z [       OK ] Registerizer.RegisterizerNestedLoopSimple (2 ms)
2022-11-23T02:41:29.8073491Z [ RUN      ] Registerizer.RegisterizerHiddenAccessYes
2022-11-23T02:41:29.8118241Z [       OK ] Registerizer.RegisterizerHiddenAccessYes (4 ms)
2022-11-23T02:41:29.8118631Z [ RUN      ] Registerizer.RegisterizerHiddenAccessNo
2022-11-23T02:41:29.8155581Z [       OK ] Registerizer.RegisterizerHiddenAccessNo (3 ms)
2022-11-23T02:41:29.8155979Z [ RUN      ] Registerizer.RegisterizerHiddenAccessMultiLoop
2022-11-23T02:41:29.8206518Z [       OK ] Registerizer.RegisterizerHiddenAccessMultiLoop (5 ms)
2022-11-23T02:41:29.8207136Z [ RUN      ] Registerizer.RegisterizerTwoConditionalLoops
2022-11-23T02:41:29.8237346Z [       OK ] Registerizer.RegisterizerTwoConditionalLoops (3 ms)
2022-11-23T02:41:29.8238006Z [ RUN      ] Registerizer.RegisterizerTwoConditionalLoopsCut
2022-11-23T02:41:29.8275455Z [       OK ] Registerizer.RegisterizerTwoConditionalLoopsCut (3 ms)
2022-11-23T02:41:29.8276091Z [ RUN      ] Registerizer.RegisterizerLoopLetVar
2022-11-23T02:41:29.8294255Z [       OK ] Registerizer.RegisterizerLoopLetVar (1 ms)
2022-11-23T02:41:29.8294891Z [ RUN      ] Registerizer.RegisterizerLoopLetVarOuter
2022-11-23T02:41:29.8312794Z [       OK ] Registerizer.RegisterizerLoopLetVarOuter (1 ms)
2022-11-23T02:41:29.8313405Z [ RUN      ] Registerizer.RegisterizerMultiDim
2022-11-23T02:41:29.8336481Z [       OK ] Registerizer.RegisterizerMultiDim (2 ms)
2022-11-23T02:41:29.8337105Z [ RUN      ] Registerizer.RegisterizerMultiDimPartial
2022-11-23T02:41:29.8367379Z [       OK ] Registerizer.RegisterizerMultiDimPartial (3 ms)
2022-11-23T02:41:29.8367988Z [ RUN      ] Registerizer.RegisterizerMultiDimOverlap
2022-11-23T02:41:29.8403623Z [       OK ] Registerizer.RegisterizerMultiDimOverlap (3 ms)
2022-11-23T02:41:29.8404442Z [ RUN      ] Registerizer.RegisterizerMultiDimPartialOverlap
2022-11-23T02:41:29.8443805Z [       OK ] Registerizer.RegisterizerMultiDimPartialOverlap (3 ms)
2022-11-23T02:41:29.8444547Z [ RUN      ] Registerizer.RegisterizerMultiDim3DReduction1
2022-11-23T02:41:29.8485023Z [       OK ] Registerizer.RegisterizerMultiDim3DReduction1 (4 ms)
2022-11-23T02:41:29.8485642Z [ RUN      ] Registerizer.RegisterizerMultiDim3DReduction2
2022-11-23T02:41:29.8527200Z [       OK ] Registerizer.RegisterizerMultiDim3DReduction2 (4 ms)
2022-11-23T02:41:29.8527910Z [----------] 69 tests from Registerizer (299 ms total)
2022-11-23T02:41:29.8528092Z 
2022-11-23T02:41:29.8528240Z [----------] 92 tests from Simplify
2022-11-23T02:41:29.8528512Z [ RUN      ] Simplify.ConstantFoldSimple
2022-11-23T02:41:29.8530762Z [       OK ] Simplify.ConstantFoldSimple (0 ms)
2022-11-23T02:41:29.8531086Z [ RUN      ] Simplify.ConstantFoldTwoLayer
2022-11-23T02:41:29.8536933Z [       OK ] Simplify.ConstantFoldTwoLayer (0 ms)
2022-11-23T02:41:29.8537254Z [ RUN      ] Simplify.ConstantFoldShifts
2022-11-23T02:41:29.8543624Z [       OK ] Simplify.ConstantFoldShifts (0 ms)
2022-11-23T02:41:29.8543935Z [ RUN      ] Simplify.ConstantFoldBitwise
2022-11-23T02:41:29.8548668Z [       OK ] Simplify.ConstantFoldBitwise (0 ms)
2022-11-23T02:41:29.8548983Z [ RUN      ] Simplify.ConstantFoldMultiOp
2022-11-23T02:41:29.8559708Z [       OK ] Simplify.ConstantFoldMultiOp (1 ms)
2022-11-23T02:41:29.8560006Z [ RUN      ] Simplify.ConstantFoldMinMax
2022-11-23T02:41:29.8564664Z [       OK ] Simplify.ConstantFoldMinMax (0 ms)
2022-11-23T02:41:29.8564991Z [ RUN      ] Simplify.ConstantFoldIntrinsics
2022-11-23T02:41:29.8577949Z [       OK ] Simplify.ConstantFoldIntrinsics (1 ms)
2022-11-23T02:41:29.8578277Z [ RUN      ] Simplify.ConstantFoldCastToBool
2022-11-23T02:41:29.8581381Z [       OK ] Simplify.ConstantFoldCastToBool (0 ms)
2022-11-23T02:41:29.8581707Z [ RUN      ] Simplify.ConstantFoldWithVar
2022-11-23T02:41:29.8588576Z [       OK ] Simplify.ConstantFoldWithVar (0 ms)
2022-11-23T02:41:29.8588928Z [ RUN      ] Simplify.ConditionalSelectFoldSimple
2022-11-23T02:41:29.8611798Z [       OK ] Simplify.ConditionalSelectFoldSimple (2 ms)
2022-11-23T02:41:29.8612171Z [ RUN      ] Simplify.ConditionalSelectFoldTwoLayer
2022-11-23T02:41:29.8643629Z [       OK ] Simplify.ConditionalSelectFoldTwoLayer (3 ms)
2022-11-23T02:41:29.8644011Z [ RUN      ] Simplify.ConditionalSelectFoldWithVar
2022-11-23T02:41:29.8648177Z [       OK ] Simplify.ConditionalSelectFoldWithVar (0 ms)
2022-11-23T02:41:29.8648752Z [ RUN      ] Simplify.UnFoldableExpr
2022-11-23T02:41:29.8653838Z [       OK ] Simplify.UnFoldableExpr (0 ms)
2022-11-23T02:41:29.8654229Z [ RUN      ] Simplify.HashSimple
2022-11-23T02:41:29.8654934Z [       OK ] Simplify.HashSimple (0 ms)
2022-11-23T02:41:29.8655261Z [ RUN      ] Simplify.HashEquivalence
2022-11-23T02:41:29.8656711Z [       OK ] Simplify.HashEquivalence (0 ms)
2022-11-23T02:41:29.8657070Z [ RUN      ] Simplify.HashEquivalenceRand
2022-11-23T02:41:29.8657406Z [       OK ] Simplify.HashEquivalenceRand (0 ms)
2022-11-23T02:41:29.8657733Z [ RUN      ] Simplify.HashEquivalenceAfterFolding
2022-11-23T02:41:29.8660879Z [       OK ] Simplify.HashEquivalenceAfterFolding (0 ms)
2022-11-23T02:41:29.8661251Z [ RUN      ] Simplify.HashDifferenceTypes
2022-11-23T02:41:29.8666630Z [       OK ] Simplify.HashDifferenceTypes (0 ms)
2022-11-23T02:41:29.8666938Z [ RUN      ] Simplify.HashLargeExpression
2022-11-23T02:41:29.8669956Z [       OK ] Simplify.HashLargeExpression (0 ms)
2022-11-23T02:41:29.8670473Z [ RUN      ] Simplify.HashForLoopOptions
2022-11-23T02:41:29.8672821Z [       OK ] Simplify.HashForLoopOptions (0 ms)
2022-11-23T02:41:29.8673116Z [ RUN      ] Simplify.SimplifyAdd
2022-11-23T02:41:29.8678767Z [       OK ] Simplify.SimplifyAdd (0 ms)
2022-11-23T02:41:29.8679056Z [ RUN      ] Simplify.SimplifySub
2022-11-23T02:41:29.8683075Z [       OK ] Simplify.SimplifySub (0 ms)
2022-11-23T02:41:29.8683374Z [ RUN      ] Simplify.SimplifyMultiLayer
2022-11-23T02:41:29.8694007Z [       OK ] Simplify.SimplifyMultiLayer (1 ms)
2022-11-23T02:41:29.8694321Z [ RUN      ] Simplify.SimplifyMultiTerm
2022-11-23T02:41:29.8700344Z [       OK ] Simplify.SimplifyMultiTerm (0 ms)
2022-11-23T02:41:29.8700651Z [ RUN      ] Simplify.SimplifyCasts
2022-11-23T02:41:29.8710407Z [       OK ] Simplify.SimplifyCasts (0 ms)
2022-11-23T02:41:29.8710761Z [ RUN      ] Simplify.SimplifyEliminatesNoOps
2022-11-23T02:41:29.8712935Z [       OK ] Simplify.SimplifyEliminatesNoOps (0 ms)
2022-11-23T02:41:29.8713265Z [ RUN      ] Simplify.SimplifyMultiVar
2022-11-23T02:41:29.8715564Z [       OK ] Simplify.SimplifyMultiVar (0 ms)
2022-11-23T02:41:29.8715907Z [ RUN      ] Simplify.SimplifyEliminatesVar
2022-11-23T02:41:29.8718089Z [       OK ] Simplify.SimplifyEliminatesVar (0 ms)
2022-11-23T02:41:29.8718407Z [ RUN      ] Simplify.SimplifyAdds
2022-11-23T02:41:29.8752307Z [       OK ] Simplify.SimplifyAdds (3 ms)
2022-11-23T02:41:29.8752604Z [ RUN      ] Simplify.SimplifyMuls
2022-11-23T02:41:29.8805248Z [       OK ] Simplify.SimplifyMuls (5 ms)
2022-11-23T02:41:29.8805525Z [ RUN      ] Simplify.SimplifySubs
2022-11-23T02:41:29.8905983Z [       OK ] Simplify.SimplifySubs (10 ms)
2022-11-23T02:41:29.8906282Z [ RUN      ] Simplify.SimplifyDiv
2022-11-23T02:41:29.8909095Z [       OK ] Simplify.SimplifyDiv (0 ms)
2022-11-23T02:41:29.8909420Z [ RUN      ] Simplify.SimplifyDivWithLoopContext0
2022-11-23T02:41:29.8925873Z [       OK ] Simplify.SimplifyDivWithLoopContext0 (1 ms)
2022-11-23T02:41:29.8926482Z [ RUN      ] Simplify.SimplifyDivWithLoopContext1
2022-11-23T02:41:29.8955987Z [       OK ] Simplify.SimplifyDivWithLoopContext1 (3 ms)
2022-11-23T02:41:29.8956365Z [ RUN      ] Simplify.SimplifyDivWithLoopContext2
2022-11-23T02:41:29.8984103Z [       OK ] Simplify.SimplifyDivWithLoopContext2 (2 ms)
2022-11-23T02:41:29.8984471Z [ RUN      ] Simplify.SimplifyDivWithLoopContext3
2022-11-23T02:41:29.8995788Z [       OK ] Simplify.SimplifyDivWithLoopContext3 (1 ms)
2022-11-23T02:41:29.8996169Z [ RUN      ] Simplify.SimplifyDivWithLoopContext4
2022-11-23T02:41:29.9028644Z [       OK ] Simplify.SimplifyDivWithLoopContext4 (3 ms)
2022-11-23T02:41:29.9029009Z [ RUN      ] Simplify.SimplifyDivWithLoopContext5
2022-11-23T02:41:29.9066959Z [       OK ] Simplify.SimplifyDivWithLoopContext5 (3 ms)
2022-11-23T02:41:29.9067323Z [ RUN      ] Simplify.SimplifyDivWithLoopContext6
2022-11-23T02:41:29.9108357Z [       OK ] Simplify.SimplifyDivWithLoopContext6 (4 ms)
2022-11-23T02:41:29.9108718Z [ RUN      ] Simplify.SimplifyDivWithLoopContext7
2022-11-23T02:41:29.9122726Z [       OK ] Simplify.SimplifyDivWithLoopContext7 (1 ms)
2022-11-23T02:41:29.9123083Z [ RUN      ] Simplify.SimplifyModWithLoopContext0
2022-11-23T02:41:29.9136880Z [       OK ] Simplify.SimplifyModWithLoopContext0 (1 ms)
2022-11-23T02:41:29.9137220Z [ RUN      ] Simplify.SimplifyModWithLoopContext1
2022-11-23T02:41:29.9163371Z [       OK ] Simplify.SimplifyModWithLoopContext1 (2 ms)
2022-11-23T02:41:29.9163741Z [ RUN      ] Simplify.SimplifyModWithLoopContext2
2022-11-23T02:41:29.9189068Z [       OK ] Simplify.SimplifyModWithLoopContext2 (2 ms)
2022-11-23T02:41:29.9189685Z [ RUN      ] Simplify.SimplifyModWithLoopContext3
2022-11-23T02:41:29.9200421Z [       OK ] Simplify.SimplifyModWithLoopContext3 (1 ms)
2022-11-23T02:41:29.9200852Z [ RUN      ] Simplify.SimplifyModWithLoopContext4
2022-11-23T02:41:29.9232626Z [       OK ] Simplify.SimplifyModWithLoopContext4 (3 ms)
2022-11-23T02:41:29.9232997Z [ RUN      ] Simplify.SimplifyModWithLoopContext5
2022-11-23T02:41:29.9269630Z [       OK ] Simplify.SimplifyModWithLoopContext5 (3 ms)
2022-11-23T02:41:29.9270049Z [ RUN      ] Simplify.SimplifyModWithLoopContext6
2022-11-23T02:41:29.9310128Z [       OK ] Simplify.SimplifyModWithLoopContext6 (4 ms)
2022-11-23T02:41:29.9310554Z [ RUN      ] Simplify.SimplifyModWithLoopContext7
2022-11-23T02:41:29.9324066Z [       OK ] Simplify.SimplifyModWithLoopContext7 (1 ms)
2022-11-23T02:41:29.9324431Z [ RUN      ] Simplify.SimplifyMod
2022-11-23T02:41:29.9352563Z [       OK ] Simplify.SimplifyMod (2 ms)
2022-11-23T02:41:29.9352927Z [ RUN      ] Simplify.SimplifyMultiOp
2022-11-23T02:41:29.9380383Z [       OK ] Simplify.SimplifyMultiOp (2 ms)
2022-11-23T02:41:29.9380786Z [ RUN      ] Simplify.SimplifyManyOps
2022-11-23T02:41:29.9429936Z [       OK ] Simplify.SimplifyManyOps (4 ms)
2022-11-23T02:41:29.9430312Z [ RUN      ] Simplify.SimplifyFactorization
2022-11-23T02:41:29.9486138Z [       OK ] Simplify.SimplifyFactorization (5 ms)
2022-11-23T02:41:29.9486540Z [ RUN      ] Simplify.SimplifyFactorizeUneven
2022-11-23T02:41:29.9501355Z [       OK ] Simplify.SimplifyFactorizeUneven (1 ms)
2022-11-23T02:41:29.9501682Z [ RUN      ] Simplify.SimplifyDeeperTerms
2022-11-23T02:41:29.9521678Z [       OK ] Simplify.SimplifyDeeperTerms (2 ms)
2022-11-23T02:41:29.9522013Z [ RUN      ] Simplify.SimplifyDeeperDifference
2022-11-23T02:41:29.9532912Z [       OK ] Simplify.SimplifyDeeperDifference (1 ms)
2022-11-23T02:41:29.9533285Z [ RUN      ] Simplify.SimplifyFoldComplexDifference
2022-11-23T02:41:29.9547983Z [       OK ] Simplify.SimplifyFoldComplexDifference (1 ms)
2022-11-23T02:41:29.9548344Z [ RUN      ] Simplify.SimplifyIfComponents
2022-11-23T02:41:29.9557823Z [       OK ] Simplify.SimplifyIfComponents (0 ms)
2022-11-23T02:41:29.9558134Z [ RUN      ] Simplify.SimplifyOpaqueTerms
2022-11-23T02:41:29.9569093Z [       OK ] Simplify.SimplifyOpaqueTerms (1 ms)
2022-11-23T02:41:29.9569433Z [ RUN      ] Simplify.SimplifySymbolicMinMax
2022-11-23T02:41:29.9590656Z [       OK ] Simplify.SimplifySymbolicMinMax (2 ms)
2022-11-23T02:41:29.9590981Z [ RUN      ] Simplify.SimplifyNestedMax
2022-11-23T02:41:29.9766675Z [       OK ] Simplify.SimplifyNestedMax (17 ms)
2022-11-23T02:41:29.9766986Z [ RUN      ] Simplify.SimplifyNestedMin
2022-11-23T02:41:29.9949589Z [       OK ] Simplify.SimplifyNestedMin (18 ms)
2022-11-23T02:41:29.9949956Z [ RUN      ] Simplify.SimplifyWontReorderFloat
2022-11-23T02:41:29.9978978Z [       OK ] Simplify.SimplifyWontReorderFloat (3 ms)
2022-11-23T02:41:29.9979324Z [ RUN      ] Simplify.SimplifyRoundModPattern
2022-11-23T02:41:30.0099334Z [       OK ] Simplify.SimplifyRoundModPattern (11 ms)
2022-11-23T02:41:30.0099742Z [ RUN      ] Simplify.SimplifyRoundModPatternFactorization
2022-11-23T02:41:30.0161718Z [       OK ] Simplify.SimplifyRoundModPatternFactorization (6 ms)
2022-11-23T02:41:30.0162110Z [ RUN      ] Simplify.SimplifyRoundModPatternMultivar
2022-11-23T02:41:30.0209824Z [       OK ] Simplify.SimplifyRoundModPatternMultivar (4 ms)
2022-11-23T02:41:30.0210212Z [ RUN      ] Simplify.SimplifyModRoundModPattern
2022-11-23T02:41:30.0269773Z [       OK ] Simplify.SimplifyModRoundModPattern (5 ms)
2022-11-23T02:41:30.0270386Z [ RUN      ] Simplify.SimplifyModRoundModPatternFactorization
2022-11-23T02:41:30.0385613Z [       OK ] Simplify.SimplifyModRoundModPatternFactorization (11 ms)
2022-11-23T02:41:30.0386173Z [ RUN      ] Simplify.SimplifyModRoundModPatternMultivar
2022-11-23T02:41:30.0556225Z [       OK ] Simplify.SimplifyModRoundModPatternMultivar (17 ms)
2022-11-23T02:41:30.0556657Z [ RUN      ] Simplify.SimplifyDivisionScalarFactorization
2022-11-23T02:41:30.0574562Z [       OK ] Simplify.SimplifyDivisionScalarFactorization (1 ms)
2022-11-23T02:41:30.0574942Z [ RUN      ] Simplify.SimplifyConstantBranches
2022-11-23T02:41:30.0582306Z [       OK ] Simplify.SimplifyConstantBranches (0 ms)
2022-11-23T02:41:30.0582647Z [ RUN      ] Simplify.SimplifyConstantCond
2022-11-23T02:41:30.0600227Z [       OK ] Simplify.SimplifyConstantCond (1 ms)
2022-11-23T02:41:30.0600690Z [ RUN      ] Simplify.SimplifyEliminateEmptyCond
2022-11-23T02:41:30.0601684Z [       OK ] Simplify.SimplifyEliminateEmptyCond (0 ms)
2022-11-23T02:41:30.0602092Z [ RUN      ] Simplify.SimplifyConstantComparisons
2022-11-23T02:41:30.0671770Z [       OK ] Simplify.SimplifyConstantComparisons (6 ms)
2022-11-23T02:41:30.0672211Z [ RUN      ] Simplify.SimplifySymbolicComparisons
2022-11-23T02:41:30.0793592Z [       OK ] Simplify.SimplifySymbolicComparisons (12 ms)
2022-11-23T02:41:30.0794127Z [ RUN      ] Simplify.SimplifyEliminateZeroLengthFor
2022-11-23T02:41:30.0808375Z [       OK ] Simplify.SimplifyEliminateZeroLengthFor (1 ms)
2022-11-23T02:41:30.0809001Z [ RUN      ] Simplify.SimplifyOneLoopFor
2022-11-23T02:41:30.0828926Z [       OK ] Simplify.SimplifyOneLoopFor (2 ms)
2022-11-23T02:41:30.0829574Z [ RUN      ] Simplify.SimplifyForWontLoseLoopOptions
2022-11-23T02:41:30.0832439Z [       OK ] Simplify.SimplifyForWontLoseLoopOptions (0 ms)
2022-11-23T02:41:30.0833040Z [ RUN      ] Simplify.SimplifyMultilevelFor
2022-11-23T02:41:30.0860640Z [       OK ] Simplify.SimplifyMultilevelFor (2 ms)
2022-11-23T02:41:30.0860988Z [ RUN      ] Simplify.SimplifyForCleansUp
2022-11-23T02:41:30.0902888Z [       OK ] Simplify.SimplifyForCleansUp (4 ms)
2022-11-23T02:41:30.0903239Z [ RUN      ] Simplify.SimplifyEliminateEmptyFor
2022-11-23T02:41:30.0920352Z [       OK ] Simplify.SimplifyEliminateEmptyFor (1 ms)
2022-11-23T02:41:30.0920753Z [ RUN      ] Simplify.SimplifyFlattenBlock
2022-11-23T02:41:30.0928482Z [       OK ] Simplify.SimplifyFlattenBlock (0 ms)
2022-11-23T02:41:30.0928921Z [ RUN      ] Simplify.SimplifyEliminateZeroLengthAlloc
2022-11-23T02:41:30.0943833Z [       OK ] Simplify.SimplifyEliminateZeroLengthAlloc (1 ms)
2022-11-23T02:41:30.0944254Z [ RUN      ] Simplify.DontSimplifyRand
2022-11-23T02:41:30.0946106Z [       OK ] Simplify.DontSimplifyRand (0 ms)
2022-11-23T02:41:30.0946511Z [ RUN      ] Simplify.SimplifyReorderForCond
2022-11-23T02:41:30.1023494Z [       OK ] Simplify.SimplifyReorderForCond (7 ms)
2022-11-23T02:41:30.1023863Z [ RUN      ] Simplify.SimplifyFuseConditions
2022-11-23T02:41:30.1100965Z [       OK ] Simplify.SimplifyFuseConditions (7 ms)
2022-11-23T02:41:30.1101581Z [ RUN      ] Simplify.SimplifySyncThreads
2022-11-23T02:41:30.1108680Z [       OK ] Simplify.SimplifySyncThreads (0 ms)
2022-11-23T02:41:30.1109290Z [ RUN      ] Simplify.SimplifyRampSubBroadcast
2022-11-23T02:41:30.1111216Z [       OK ] Simplify.SimplifyRampSubBroadcast (0 ms)
2022-11-23T02:41:30.1111823Z [ RUN      ] Simplify.SimplifyBroadcastTermExpander
2022-11-23T02:41:30.1118357Z [       OK ] Simplify.SimplifyBroadcastTermExpander (0 ms)
2022-11-23T02:41:30.1118953Z [ RUN      ] Simplify.CompareSelectLoopBounds
2022-11-23T02:41:30.2542271Z [       OK ] Simplify.CompareSelectLoopBounds (142 ms)
2022-11-23T02:41:30.2542831Z [ RUN      ] Simplify.CompareSelectCondAlwaysInLoopBounds
2022-11-23T02:41:30.2553957Z [       OK ] Simplify.CompareSelectCondAlwaysInLoopBounds (1 ms)
2022-11-23T02:41:30.2554752Z [ RUN      ] Simplify.IfThenCondAlwaysInLoopBounds
2022-11-23T02:41:30.2565984Z [       OK ] Simplify.IfThenCondAlwaysInLoopBounds (1 ms)
2022-11-23T02:41:30.2566621Z [ RUN      ] Simplify.MultiClauseCondAlwaysInLoopBounds
2022-11-23T02:41:30.2596880Z [       OK ] Simplify.MultiClauseCondAlwaysInLoopBounds (3 ms)
2022-11-23T02:41:30.2597699Z [----------] 92 tests from Simplify (406 ms total)
2022-11-23T02:41:30.2597882Z 
2022-11-23T02:41:30.2598020Z [----------] 12 tests from TEFuserPass
2022-11-23T02:41:30.2598303Z [ RUN      ] TEFuserPass.FuserPass_1
2022-11-23T02:41:30.2672156Z [       OK ] TEFuserPass.FuserPass_1 (7 ms)
2022-11-23T02:41:30.2672704Z [ RUN      ] TEFuserPass.FuserPass_2
2022-11-23T02:41:30.2708699Z [       OK ] TEFuserPass.FuserPass_2 (3 ms)
2022-11-23T02:41:30.2709239Z [ RUN      ] TEFuserPass.FuserPass_3
2022-11-23T02:41:30.2741403Z [       OK ] TEFuserPass.FuserPass_3 (3 ms)
2022-11-23T02:41:30.2741942Z [ RUN      ] TEFuserPass.FuserPass_0DimInput
2022-11-23T02:41:30.2767693Z [       OK ] TEFuserPass.FuserPass_0DimInput (2 ms)
2022-11-23T02:41:30.2768278Z [ RUN      ] TEFuserPass.FuserPass_UnfusibleDevice
2022-11-23T02:41:30.2778148Z [       OK ] TEFuserPass.FuserPass_UnfusibleDevice (1 ms)
2022-11-23T02:41:30.2778727Z [ RUN      ] TEFuserPass.FuserPass_UnknownShapes
2022-11-23T02:41:30.2787201Z [       OK ] TEFuserPass.FuserPass_UnknownShapes (0 ms)
2022-11-23T02:41:30.2787784Z [ RUN      ] TEFuserPass.FuserPass_Multidevice
2022-11-23T02:41:30.2881662Z [       OK ] TEFuserPass.FuserPass_Multidevice (9 ms)
2022-11-23T02:41:30.2882217Z [ RUN      ] TEFuserPass.FuserPass_MergeGroups
2022-11-23T02:41:30.2909299Z [       OK ] TEFuserPass.FuserPass_MergeGroups (2 ms)
2022-11-23T02:41:30.2909913Z [ RUN      ] TEFuserPass.FuserPass_IgnoreUnknownShapeAtStart
2022-11-23T02:41:30.2921494Z [       OK ] TEFuserPass.FuserPass_IgnoreUnknownShapeAtStart (1 ms)
2022-11-23T02:41:30.2921836Z [ RUN      ] TEFuserPass.FuserPass_Where
2022-11-23T02:41:30.2950176Z [       OK ] TEFuserPass.FuserPass_Where (2 ms)
2022-11-23T02:41:30.2950479Z [ RUN      ] TEFuserPass.FuserPass_WhereList
2022-11-23T02:41:30.2964511Z [       OK ] TEFuserPass.FuserPass_WhereList (1 ms)
2022-11-23T02:41:30.2964837Z [ RUN      ] TEFuserPass.DynamicShapeFusion
2022-11-23T02:41:33.0085541Z [       OK ] TEFuserPass.DynamicShapeFusion (2711 ms)
2022-11-23T02:41:33.0086094Z [----------] 12 tests from TEFuserPass (2748 ms total)
2022-11-23T02:41:33.0086339Z 
2022-11-23T02:41:33.0086563Z [----------] 3 tests from Type
2022-11-23T02:41:33.0086928Z [ RUN      ] Type.Test01
2022-11-23T02:41:33.0087285Z [       OK ] Type.Test01 (0 ms)
2022-11-23T02:41:33.0087653Z [ RUN      ] Type.BitCasting
2022-11-23T02:41:33.0093337Z [       OK ] Type.BitCasting (0 ms)
2022-11-23T02:41:33.0093790Z [ RUN      ] Type.Propagation
2022-11-23T02:41:33.0094784Z [       OK ] Type.Propagation (0 ms)
2022-11-23T02:41:33.0095244Z [----------] 3 tests from Type (1 ms total)
2022-11-23T02:41:33.0095460Z 
2022-11-23T02:41:33.0095750Z [----------] 1 test from SpecializationsInCustomPasses
2022-11-23T02:41:33.0096322Z [ RUN      ] SpecializationsInCustomPasses.Basic
2022-11-23T02:41:33.0223317Z [       OK ] SpecializationsInCustomPasses.Basic (12 ms)
2022-11-23T02:41:33.0224001Z [----------] 1 test from SpecializationsInCustomPasses (12 ms total)
2022-11-23T02:41:33.0224535Z 
2022-11-23T02:41:33.0224825Z [----------] Global test environment tear-down
2022-11-23T02:41:33.0420562Z [==========] 647 tests from 23 test suites ran. (430604 ms total)
2022-11-23T02:41:33.0421042Z [  PASSED  ] 647 tests.
2022-11-23T02:41:33.0421418Z 
2022-11-23T02:41:33.0421607Z   YOU HAVE 5 DISABLED TESTS
2022-11-23T02:41:33.0421800Z 
2022-11-23T02:41:33.5403293Z + [[ linux-focal-py3.7-clang7-asan != *android* ]]
2022-11-23T02:41:33.5403891Z + [[ linux-focal-py3.7-clang7-asan != *cuda* ]]
2022-11-23T02:41:33.5404267Z + [[ linux-focal-py3.7-clang7-asan != *asan* ]]
2022-11-23T02:41:33.5404481Z + assert_git_not_dirty
2022-11-23T02:41:33.5404750Z + [[ linux-focal-py3.7-clang7-asan != *rocm* ]]
2022-11-23T02:41:33.5405048Z + [[ linux-focal-py3.7-clang7-asan != *xla* ]]
2022-11-23T02:41:33.5405812Z ++ git status --porcelain
2022-11-23T02:41:33.7236518Z + git_status=
2022-11-23T02:41:33.7237030Z + [[ -n '' ]]
2022-11-23T02:41:33.7237460Z + test_aot_compilation
2022-11-23T02:41:33.7237868Z + echo 'Testing Ahead of Time compilation'
2022-11-23T02:41:33.7238113Z Testing Ahead of Time compilation
2022-11-23T02:41:33.7238546Z + ln -sf /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so /opt/conda/lib/python3.7/site-packages/torch/bin
2022-11-23T02:41:33.7271660Z + ln -sf /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch.so /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_python.so /opt/conda/lib/python3.7/site-packages/torch/lib/libtorchbind_test.so /opt/conda/lib/python3.7/site-packages/torch/bin
2022-11-23T02:41:33.7303456Z + TEST_REPORTS_DIR=test/test-reports/cpp-unittest/test_aot_compilation
2022-11-23T02:41:33.7303808Z + mkdir -p test/test-reports/cpp-unittest/test_aot_compilation
2022-11-23T02:41:33.7337290Z + '[' -f /opt/conda/lib/python3.7/site-packages/torch/bin/test_mobile_nnc ']'
2022-11-23T02:41:33.7337886Z + '[' -f /opt/conda/lib/python3.7/site-packages/torch/bin/aot_model_compiler_test ']'
2022-11-23T02:41:33.7338160Z + test_custom_script_ops
2022-11-23T02:41:33.7338473Z + [[ linux-focal-py3.7-clang7-asan != *asan* ]]
2022-11-23T02:41:33.7338737Z + test_custom_backend
2022-11-23T02:41:33.7339021Z + [[ linux-focal-py3.7-clang7-asan != *asan* ]]
2022-11-23T02:41:33.7339241Z + test_torch_function_benchmark
2022-11-23T02:41:33.7339509Z + echo 'Testing __torch_function__ benchmarks'
2022-11-23T02:41:33.7339740Z Testing __torch_function__ benchmarks
2022-11-23T02:41:33.7339949Z + pushd benchmarks/overrides_benchmark
2022-11-23T02:41:33.7340209Z ~/workspace/benchmarks/overrides_benchmark ~/workspace
2022-11-23T02:41:33.7340479Z + python bench.py -n 1 -m 2
2022-11-23T02:41:37.2495621Z Type tensor had a minimum time of 0.06866455078125 us and a standard deviation of 11.890300549566746 us.
2022-11-23T02:41:37.2501380Z Type SubTensor had a minimum time of 0.06890296936035156 us and a standard deviation of 0.11565095337573439 us.
2022-11-23T02:41:37.2505416Z Type WithTorchFunction had a minimum time of 0.031232833862304688 us and a standard deviation of 0.04366413486422971 us.
2022-11-23T02:41:37.2510218Z Type SubWithTorchFunction had a minimum time of 0.048160552978515625 us and a standard deviation of 0.02107342515955679 us.
2022-11-23T02:41:37.7501257Z + python pyspybench.py Tensor -n 1
2022-11-23T02:41:41.7442311Z + python pyspybench.py SubTensor -n 1
2022-11-23T02:41:45.7615457Z + python pyspybench.py WithTorchFunction -n 1
2022-11-23T02:41:49.7896979Z + python pyspybench.py SubWithTorchFunction -n 1
2022-11-23T02:41:53.8513638Z + popd
2022-11-23T02:41:53.8514047Z ~/workspace
2022-11-23T02:41:53.8514966Z + assert_git_not_dirty
2022-11-23T02:41:53.8516152Z + [[ linux-focal-py3.7-clang7-asan != *rocm* ]]
2022-11-23T02:41:53.8516599Z + [[ linux-focal-py3.7-clang7-asan != *xla* ]]
2022-11-23T02:41:53.8516847Z ++ git status --porcelain
2022-11-23T02:41:54.0356127Z + git_status=
2022-11-23T02:41:54.0356676Z + [[ -n '' ]]
2022-11-23T02:41:54.0423927Z Prepare all required actions
2022-11-23T02:41:54.0424229Z Getting action download info
2022-11-23T02:41:54.2679585Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2022-11-23T02:41:54.3943776Z ##[group]Run ./.github/actions/get-workflow-job-id
2022-11-23T02:41:54.3943986Z with:
2022-11-23T02:41:54.3944300Z   github-token: ***
2022-11-23T02:41:54.3944468Z env:
2022-11-23T02:41:54.3944626Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:41:54.3944927Z   DOCKER_CONTAINER_ID: bccbf2acded127fda1195f4a1dc8bbdbcb84a6c780c3e6329bbefc1cd6fe794d
2022-11-23T02:41:54.3945212Z ##[endgroup]
2022-11-23T02:41:54.3970249Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482
2022-11-23T02:41:54.3970486Z with:
2022-11-23T02:41:54.3970647Z   shell: bash
2022-11-23T02:41:54.3970809Z   timeout_minutes: 10
2022-11-23T02:41:54.3970988Z   max_attempts: 5
2022-11-23T02:41:54.3971207Z   retry_wait_seconds: 30
2022-11-23T02:41:54.3971574Z   command: set -eux
python3 -m pip install requests==2.26.0
GHA_WORKFLOW_JOB_ID=$(python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}")
echo "job-id=${GHA_WORKFLOW_JOB_ID}" >> "${GITHUB_OUTPUT}"

2022-11-23T02:41:54.3971951Z   polling_interval_seconds: 1
2022-11-23T02:41:54.3972147Z   warning_on_retry: true
2022-11-23T02:41:54.3972336Z   continue_on_error: false
2022-11-23T02:41:54.3972496Z env:
2022-11-23T02:41:54.3972667Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:41:54.3973085Z   DOCKER_CONTAINER_ID: bccbf2acded127fda1195f4a1dc8bbdbcb84a6c780c3e6329bbefc1cd6fe794d
2022-11-23T02:41:54.3973544Z   GITHUB_TOKEN: ***
2022-11-23T02:41:54.3973721Z ##[endgroup]
2022-11-23T02:41:54.7415373Z + python3 -m pip install requests==2.26.0
2022-11-23T02:41:55.4288261Z Defaulting to user installation because normal site-packages is not writeable
2022-11-23T02:41:55.4524591Z Requirement already satisfied: requests==2.26.0 in /home/ec2-user/.local/lib/python3.7/site-packages (2.26.0)
2022-11-23T02:41:55.4659700Z Requirement already satisfied: idna<4,>=2.5; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (3.4)
2022-11-23T02:41:55.4679300Z Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (2022.9.24)
2022-11-23T02:41:55.4690583Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (1.26.12)
2022-11-23T02:41:55.4850922Z Requirement already satisfied: charset-normalizer~=2.0.0; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (2.0.12)
2022-11-23T02:41:55.6914383Z ++ python3 .github/scripts/get_workflow_job_id.py 3528293562 i-05e6c9e8387fe80fe
2022-11-23T02:41:58.3141239Z + GHA_WORKFLOW_JOB_ID=9655119242
2022-11-23T02:41:58.3142651Z + echo job-id=9655119242
2022-11-23T02:41:58.7421812Z Command completed after 1 attempt(s).
2022-11-23T02:41:58.7526700Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2022-11-23T02:41:58.7526938Z kill "$MONITOR_SCRIPT_PID"
2022-11-23T02:41:58.7538262Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T02:41:58.7538481Z env:
2022-11-23T02:41:58.7538654Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:41:58.7538951Z   DOCKER_CONTAINER_ID: bccbf2acded127fda1195f4a1dc8bbdbcb84a6c780c3e6329bbefc1cd6fe794d
2022-11-23T02:41:58.7539253Z   MONITOR_SCRIPT_PID: 14870
2022-11-23T02:41:58.7539439Z ##[endgroup]
2022-11-23T02:41:58.7628267Z Prepare all required actions
2022-11-23T02:41:58.7628538Z Getting action download info
2022-11-23T02:41:58.9738039Z Download action repository 'actions/upload-artifact@v3' (SHA:83fd05a356d7e2593de66fc9913b3002723633cb)
2022-11-23T02:41:59.1171936Z ##[group]Run ./.github/actions/upload-test-artifacts
2022-11-23T02:41:59.1172150Z with:
2022-11-23T02:41:59.1172374Z   file-suffix: test-default-2-5-linux.2xlarge_9655119242
2022-11-23T02:41:59.1172678Z env:
2022-11-23T02:41:59.1172837Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:41:59.1173139Z   DOCKER_CONTAINER_ID: bccbf2acded127fda1195f4a1dc8bbdbcb84a6c780c3e6329bbefc1cd6fe794d
2022-11-23T02:41:59.1173429Z ##[endgroup]
2022-11-23T02:41:59.1195857Z ##[group]Run # Remove any previous test jsons if they exist
2022-11-23T02:41:59.1196140Z # Remove any previous test jsons if they exist
2022-11-23T02:41:59.1196371Z rm -f test-jsons-*.zip
2022-11-23T02:41:59.1196644Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test -i '*.json'
2022-11-23T02:41:59.1207684Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T02:41:59.1207904Z env:
2022-11-23T02:41:59.1208080Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:41:59.1208373Z   DOCKER_CONTAINER_ID: bccbf2acded127fda1195f4a1dc8bbdbcb84a6c780c3e6329bbefc1cd6fe794d
2022-11-23T02:41:59.1208717Z   FILE_SUFFIX: test-default-2-5-linux.2xlarge_9655119242
2022-11-23T02:41:59.1208943Z ##[endgroup]
2022-11-23T02:41:59.1376582Z   adding: test/allowlist_for_publicAPI.json (deflated 79%)
2022-11-23T02:41:59.1403163Z   adding: test/benchmark_utils/callgrind_artifacts.json (deflated 92%)
2022-11-23T02:41:59.1408994Z   adding: test/profiler/profiler_utils_mock_events.json (deflated 87%)
2022-11-23T02:41:59.1410108Z   adding: test/.pytorch-slow-tests.json (deflated 73%)
2022-11-23T02:41:59.1418560Z   adding: test/.pytorch-disabled-tests.json (deflated 86%)
2022-11-23T02:41:59.1436064Z ##[group]Run # Remove any previous test reports if they exist
2022-11-23T02:41:59.1436365Z # Remove any previous test reports if they exist
2022-11-23T02:41:59.1436606Z rm -f test-reports-*.zip
2022-11-23T02:41:59.1436872Z zip -r "test-reports-${FILE_SUFFIX}.zip" test -i '*.xml' -i '*.csv'
2022-11-23T02:41:59.1447671Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T02:41:59.1447887Z env:
2022-11-23T02:41:59.1448063Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:41:59.1448357Z   DOCKER_CONTAINER_ID: bccbf2acded127fda1195f4a1dc8bbdbcb84a6c780c3e6329bbefc1cd6fe794d
2022-11-23T02:41:59.1448713Z   FILE_SUFFIX: test-default-2-5-linux.2xlarge_9655119242
2022-11-23T02:41:59.1448939Z ##[endgroup]
2022-11-23T02:41:59.1531622Z   adding: test/test-reports/python-unittest/test_proxy_tensor/TEST-TestFakeProxyTensor-20221123011226.xml (deflated 67%)
2022-11-23T02:41:59.1536499Z   adding: test/test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorFake-20221123011226.xml (deflated 85%)
2022-11-23T02:41:59.1544549Z   adding: test/test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorReal-20221123011226.xml (deflated 85%)
2022-11-23T02:41:59.1548961Z   adding: test/test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorSymbolic-20221123011226.xml (deflated 82%)
2022-11-23T02:41:59.1625571Z   adding: test/test-reports/python-unittest/test_proxy_tensor/TEST-TestProxyTensorOpInfoCPU-20221123011226.xml (deflated 95%)
2022-11-23T02:41:59.1629477Z   adding: test/test-reports/python-unittest/test_proxy_tensor/TEST-TestSymbolicTracing-20221123011226.xml (deflated 78%)
2022-11-23T02:41:59.1650367Z   adding: test/test-reports/python-unittest/inductor.test_torchinductor/TEST-CPUReproTests-20221123011326.xml (deflated 88%)
2022-11-23T02:41:59.2160764Z   adding: test/test-reports/python-unittest/inductor.test_torchinductor/TEST-CpuTests-20221123011326.xml (deflated 94%)
2022-11-23T02:41:59.2215806Z   adding: test/test-reports/python-unittest/inductor.test_torchinductor/TEST-SweepInputsCpuTest-20221123011326.xml (deflated 96%)
2022-11-23T02:41:59.2219986Z   adding: test/test-reports/python-unittest/inductor.test_torchinductor/TEST-TestIndexingSimplification-20221123011326.xml (deflated 57%)
2022-11-23T02:41:59.2230106Z   adding: test/test-reports/python-unittest/test_fx_experimental/TEST-TestFXExperimental-20221123012836.xml (deflated 79%)
2022-11-23T02:41:59.2261606Z   adding: test/test-reports/python-unittest/test_fx_experimental/TEST-TestNormalizeOperatorsCPU-20221123012836.xml (deflated 94%)
2022-11-23T02:41:59.2264609Z   adding: test/test-reports/python-unittest/inductor.test_minifier/TEST-MinifierTests-20221123013015.xml (deflated 83%)
2022-11-23T02:41:59.2278176Z   adding: test/test-reports/python-unittest/dynamo.test_unspec/TEST-UnspecNNModuleTests-20221123013124.xml (deflated 91%)
2022-11-23T02:41:59.2291973Z   adding: test/test-reports/python-unittest/dynamo.test_unspec/TEST-UnspecReproTests-20221123013124.xml (deflated 88%)
2022-11-23T02:41:59.2296874Z   adding: test/test-reports/python-unittest/dynamo.test_unspec/TEST-UnspecTests-20221123013124.xml (deflated 76%)
2022-11-23T02:41:59.2311344Z   adding: test/test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsFunctionTests-20221123013153.xml (deflated 96%)
2022-11-23T02:41:59.2327349Z   adding: test/test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsMiscTests-20221123013153.xml (deflated 92%)
2022-11-23T02:41:59.2339586Z   adding: test/test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsNNModuleTests-20221123013153.xml (deflated 93%)
2022-11-23T02:41:59.2350781Z   adding: test/test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsReproTests-20221123013153.xml (deflated 89%)
2022-11-23T02:41:59.2355480Z   adding: test/test-reports/python-unittest/dynamo.test_no_fake_tensors/TEST-torch._dynamo.testing.NoFakeTensorsUnspecTests-20221123013153.xml (deflated 84%)
2022-11-23T02:41:59.2361390Z   adding: test/test-reports/python-unittest/profiler.test_profiler/TEST-TestExecutionGraph-20221123013226.xml (deflated 72%)
2022-11-23T02:41:59.2373585Z   adding: test/test-reports/python-unittest/profiler.test_profiler/TEST-TestExperimentalUtils-20221123013226.xml (deflated 82%)
2022-11-23T02:41:59.2377877Z   adding: test/test-reports/python-unittest/profiler.test_profiler/TEST-TestProfiler-20221123013226.xml (deflated 74%)
2022-11-23T02:41:59.2382100Z   adding: test/test-reports/python-unittest/profiler.test_profiler/TEST-TestProfilerITT-20221123013226.xml (deflated 42%)
2022-11-23T02:41:59.2389191Z   adding: test/test-reports/python-unittest/profiler.test_profiler/TEST-TestRecordFunction-20221123013226.xml (deflated 70%)
2022-11-23T02:41:59.2393827Z   adding: test/test-reports/python-unittest/profiler.test_profiler/TEST-TestTorchTidyProfiler-20221123013226.xml (deflated 81%)
2022-11-23T02:41:59.2397036Z   adding: test/test-reports/python-unittest/profiler.test_profiler/TEST-TestProfilerCUDA-20221123013226.xml (deflated 57%)
2022-11-23T02:41:59.2403554Z   adding: test/test-reports/python-unittest/test_stateless/TEST-TestPythonOptimizeMode-20221123013246.xml (deflated 40%)
2022-11-23T02:41:59.2406641Z   adding: test/test-reports/python-unittest/test_stateless/TEST-TestStatelessDeprecation-20221123013246.xml (deflated 43%)
2022-11-23T02:41:59.2409879Z   adding: test/test-reports/python-unittest/test_stateless/TEST-TestStatelessFunctionalAPI-20221123013246.xml (deflated 77%)
2022-11-23T02:41:59.2422347Z   adding: test/test-reports/python-unittest/dynamo.test_repros/TEST-ReproTests-20221123013249.xml (deflated 87%)
2022-11-23T02:41:59.2434968Z   adding: test/test-reports/python-unittest/test_scatter_gather_ops/TEST-TestScatterGatherCPU-20221123013309.xml (deflated 92%)
2022-11-23T02:41:59.2448131Z   adding: test/test-reports/python-unittest/test_expanded_weights/TEST-TestExpandedWeightFunctionalCPU-20221123013316.xml (deflated 92%)
2022-11-23T02:41:59.2452320Z   adding: test/test-reports/python-unittest/test_expanded_weights/TEST-TestExpandedWeightHelperFunctionCPU-20221123013316.xml (deflated 79%)
2022-11-23T02:41:59.2460847Z   adding: test/test-reports/python-unittest/test_expanded_weights/TEST-TestExpandedWeightModule-20221123013316.xml (deflated 94%)
2022-11-23T02:41:59.3020089Z   adding: test/test-reports/python-unittest/test_meta/TEST-TestMetaCPU-20221123013335.xml (deflated 98%)
2022-11-23T02:41:59.3023604Z   adding: test/test-reports/python-unittest/test_meta/TEST-TestMetaConverter-20221123013335.xml (deflated 77%)
2022-11-23T02:41:59.3027189Z   adding: test/test-reports/python-unittest/test_bundled_inputs/TEST-TestBundledInputs-20221123013338.xml (deflated 75%)
2022-11-23T02:41:59.3031155Z   adding: test/test-reports/python-unittest/test_public_bindings/TEST-TestPublicBindings-20221123013351.xml (deflated 56%)
2022-11-23T02:41:59.3039531Z   adding: test/test-reports/python-unittest/nn.test_lazy_modules/TEST-TestLazyModules-20221123013405.xml (deflated 88%)
2022-11-23T02:41:59.3042974Z   adding: test/test-reports/python-unittest/nn.test_dropout/TEST-TestDropoutNN-20221123013409.xml (deflated 65%)
2022-11-23T02:41:59.3046760Z   adding: test/test-reports/python-unittest/nn.test_dropout/TEST-TestDropoutNNDeviceTypeCPU-20221123013409.xml (deflated 72%)
2022-11-23T02:41:59.3050334Z   adding: test/test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardEmbedding-20221123013417.xml (deflated 61%)
2022-11-23T02:41:59.3058558Z   adding: test/test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardNumpy-20221123013417.xml (deflated 76%)
2022-11-23T02:41:59.3062254Z   adding: test/test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardPyTorchNumpy-20221123013417.xml (deflated 73%)
2022-11-23T02:41:59.3066722Z   adding: test/test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardPytorchGraph-20221123013417.xml (deflated 64%)
2022-11-23T02:41:59.3073790Z   adding: test/test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardSummary-20221123013417.xml (deflated 83%)
2022-11-23T02:41:59.3078528Z   adding: test/test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardSummaryWriter-20221123013417.xml (deflated 64%)
2022-11-23T02:41:59.3081748Z   adding: test/test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardUtils-20221123013417.xml (deflated 66%)
2022-11-23T02:41:59.3084794Z   adding: test/test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardWriter-20221123013417.xml (deflated 41%)
2022-11-23T02:41:59.3091683Z   adding: test/test-reports/python-unittest/test_tensorboard/TEST-TestTensorBoardFigure-20221123013417.xml (deflated 60%)
2022-11-23T02:41:59.3095086Z   adding: test/test-reports/python-unittest/dynamo.test_global/TEST-TestGlobals-20221123013420.xml (deflated 85%)
2022-11-23T02:41:59.3098626Z   adding: test/test-reports/python-unittest/dynamo.test_skip_non_tensor/TEST-SkipNonTensorTests-20221123013430.xml (deflated 79%)
2022-11-23T02:41:59.3102220Z   adding: test/test-reports/python-unittest/test_per_overload_api/TEST-TestPerOverloadAPI-20221123013441.xml (deflated 63%)
2022-11-23T02:41:59.3116427Z   adding: test/test-reports/python-unittest/test_modules/TEST-TestModuleCPU-20221123020624.xml (deflated 96%)
2022-11-23T02:41:59.3117750Z   adding: test/test-reports/python-unittest/test_dispatch/TEST-TestDispatch-20221123021924.xml (deflated 81%)
2022-11-23T02:41:59.3118690Z   adding: test/test-reports/python-unittest/test_dispatch/TEST-TestPythonDispatcher-20221123021924.xml (deflated 75%)
2022-11-23T02:41:59.3119449Z   adding: test/test-reports/python-unittest/nn.test_pooling/TEST-TestAvgPool-20221123022127.xml (deflated 77%)
2022-11-23T02:41:59.3119952Z   adding: test/test-reports/python-unittest/nn.test_pooling/TEST-TestPoolingNN-20221123022127.xml (deflated 78%)
2022-11-23T02:41:59.3120907Z   adding: test/test-reports/python-unittest/nn.test_pooling/TEST-TestPoolingNNDeviceTypeCPU-20221123022127.xml (deflated 91%)
2022-11-23T02:41:59.3121842Z   adding: test/test-reports/python-unittest/test_autograd/TEST-TestAllowMutationOnSaved-20221123022331.xml (deflated 81%)
2022-11-23T02:41:59.3131332Z   adding: test/test-reports/python-unittest/test_autograd/TEST-TestAutograd-20221123022331.xml (deflated 86%)
2022-11-23T02:41:59.3132233Z   adding: test/test-reports/python-unittest/test_autograd/TEST-autograd.test_complex.TestAutogradComplex-20221123022331.xml (deflated 60%)
2022-11-23T02:41:59.3133392Z   adding: test/test-reports/python-unittest/test_autograd/TEST-TestAutogradDeviceTypeCPU-20221123022331.xml (deflated 86%)
2022-11-23T02:41:59.3134157Z   adding: test/test-reports/python-unittest/test_autograd/TEST-TestAutogradForwardMode-20221123022331.xml (deflated 82%)
2022-11-23T02:41:59.3134760Z   adding: test/test-reports/python-unittest/test_autograd/TEST-TestAutogradForwardModeBatchedGrad-20221123022331.xml (deflated 72%)
2022-11-23T02:41:59.3137467Z   adding: test/test-reports/python-unittest/test_autograd/TEST-autograd.test_functional.TestAutogradFunctional-20221123022331.xml (deflated 94%)
2022-11-23T02:41:59.3138171Z   adding: test/test-reports/python-unittest/test_autograd/TEST-TestAutogradInferenceMode-20221123022331.xml (deflated 87%)
2022-11-23T02:41:59.3138805Z   adding: test/test-reports/python-unittest/test_autograd/TEST-TestAutogradMultipleDispatchCPU-20221123022331.xml (deflated 71%)
2022-11-23T02:41:59.3139524Z   adding: test/test-reports/python-unittest/test_autograd/TEST-TestMultithreadAutograd-20221123022331.xml (deflated 76%)
2022-11-23T02:41:59.3140051Z   adding: test/test-reports/python-unittest/test_show_pickle/TEST-TestShowPickle-20221123022443.xml (deflated 40%)
2022-11-23T02:41:59.3179029Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-932f1afa7339af9c.xml (deflated 95%)
2022-11-23T02:41:59.3219512Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-59a573ebc80798b5.xml (deflated 95%)
2022-11-23T02:41:59.3220235Z   adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-97525fb768e21be3.xml (deflated 70%)
2022-11-23T02:41:59.3238599Z   adding: test/test-reports/cpp-unittest/test_libtorch/test_jit.xml (deflated 91%)
2022-11-23T02:41:59.3247945Z   adding: test/test-reports/cpp-unittest/test_libtorch/test_lazy.xml (deflated 92%)
2022-11-23T02:41:59.3266668Z   adding: test/test-reports/cpp-unittest/test_libtorch/test_api.xml (deflated 91%)
2022-11-23T02:41:59.3279839Z   adding: test/test-reports/cpp-unittest/test_libtorch/test_tensorexpr.xml (deflated 91%)
2022-11-23T02:41:59.3299761Z ##[group]Run # Remove any previous test reports if they exist
2022-11-23T02:41:59.3300051Z # Remove any previous test reports if they exist
2022-11-23T02:41:59.3300281Z rm -f usage-log-*.zip
2022-11-23T02:41:59.3300554Z # this workflow is also run in bazel build test, but we dont generate usage reports for it
2022-11-23T02:41:59.3300843Z # so check to see if the file exists first
2022-11-23T02:41:59.3301054Z if [ -f 'usage_log.txt' ]; then
2022-11-23T02:41:59.3301300Z     zip "usage-log-${FILE_SUFFIX}.zip" 'usage_log.txt'
2022-11-23T02:41:59.3301511Z fi
2022-11-23T02:41:59.3312580Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T02:41:59.3312798Z env:
2022-11-23T02:41:59.3312970Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:41:59.3313263Z   DOCKER_CONTAINER_ID: bccbf2acded127fda1195f4a1dc8bbdbcb84a6c780c3e6329bbefc1cd6fe794d
2022-11-23T02:41:59.3313616Z   FILE_SUFFIX: test-default-2-5-linux.2xlarge_9655119242
2022-11-23T02:41:59.3313839Z ##[endgroup]
2022-11-23T02:41:59.4066522Z   adding: usage_log.txt (deflated 98%)
2022-11-23T02:41:59.4103025Z ##[group]Run seemethere/upload-artifact-s3@v5
2022-11-23T02:41:59.4103236Z with:
2022-11-23T02:41:59.4103427Z   s3-prefix: pytorch/pytorch/3528293562/1/artifact

2022-11-23T02:41:59.4103641Z   retention-days: 14
2022-11-23T02:41:59.4103831Z   if-no-files-found: warn
2022-11-23T02:41:59.4104013Z   path: test-jsons-*.zip
2022-11-23T02:41:59.4104194Z   name: artifact
2022-11-23T02:41:59.4104453Z   s3-bucket: gha-artifacts
2022-11-23T02:41:59.4104631Z   region: us-east-1
2022-11-23T02:41:59.4104794Z env:
2022-11-23T02:41:59.4104961Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:41:59.4105249Z   DOCKER_CONTAINER_ID: bccbf2acded127fda1195f4a1dc8bbdbcb84a6c780c3e6329bbefc1cd6fe794d
2022-11-23T02:41:59.4105536Z ##[endgroup]
2022-11-23T02:41:59.7999041Z NOTE: s3-prefix specified, ignoring name parameter
2022-11-23T02:41:59.7999764Z With the provided path, there will be 1 file uploaded
2022-11-23T02:41:59.8000252Z Uploading to s3 prefix: pytorch/pytorch/3528293562/1/artifact
2022-11-23T02:41:59.8044721Z Starting upload of test-jsons-test-default-2-5-linux.2xlarge_9655119242.zip
2022-11-23T02:41:59.9245514Z Finished upload of test-jsons-test-default-2-5-linux.2xlarge_9655119242.zip
2022-11-23T02:41:59.9393745Z ##[group]Run seemethere/upload-artifact-s3@v5
2022-11-23T02:41:59.9393959Z with:
2022-11-23T02:41:59.9394151Z   s3-prefix: pytorch/pytorch/3528293562/1/artifact

2022-11-23T02:41:59.9394378Z   retention-days: 14
2022-11-23T02:41:59.9394572Z   if-no-files-found: error
2022-11-23T02:41:59.9394759Z   path: test-reports-*.zip
2022-11-23T02:41:59.9394938Z   name: artifact
2022-11-23T02:41:59.9395115Z   s3-bucket: gha-artifacts
2022-11-23T02:41:59.9395287Z   region: us-east-1
2022-11-23T02:41:59.9395449Z env:
2022-11-23T02:41:59.9395614Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:41:59.9395908Z   DOCKER_CONTAINER_ID: bccbf2acded127fda1195f4a1dc8bbdbcb84a6c780c3e6329bbefc1cd6fe794d
2022-11-23T02:41:59.9396197Z ##[endgroup]
2022-11-23T02:42:00.2800350Z NOTE: s3-prefix specified, ignoring name parameter
2022-11-23T02:42:00.2800857Z With the provided path, there will be 1 file uploaded
2022-11-23T02:42:00.2801299Z Uploading to s3 prefix: pytorch/pytorch/3528293562/1/artifact
2022-11-23T02:42:00.2809573Z Starting upload of test-reports-test-default-2-5-linux.2xlarge_9655119242.zip
2022-11-23T02:42:00.5078023Z Finished upload of test-reports-test-default-2-5-linux.2xlarge_9655119242.zip
2022-11-23T02:42:00.5223156Z ##[group]Run seemethere/upload-artifact-s3@v5
2022-11-23T02:42:00.5223373Z with:
2022-11-23T02:42:00.5223565Z   s3-prefix: pytorch/pytorch/3528293562/1/artifact

2022-11-23T02:42:00.5223786Z   retention-days: 14
2022-11-23T02:42:00.5223987Z   if-no-files-found: ignore
2022-11-23T02:42:00.5224172Z   path: usage-log-*.zip
2022-11-23T02:42:00.5224352Z   name: artifact
2022-11-23T02:42:00.5224532Z   s3-bucket: gha-artifacts
2022-11-23T02:42:00.5224717Z   region: us-east-1
2022-11-23T02:42:00.5224884Z env:
2022-11-23T02:42:00.5225055Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:42:00.5225347Z   DOCKER_CONTAINER_ID: bccbf2acded127fda1195f4a1dc8bbdbcb84a6c780c3e6329bbefc1cd6fe794d
2022-11-23T02:42:00.5225633Z ##[endgroup]
2022-11-23T02:42:00.8648702Z NOTE: s3-prefix specified, ignoring name parameter
2022-11-23T02:42:00.8649143Z With the provided path, there will be 1 file uploaded
2022-11-23T02:42:00.8649421Z Uploading to s3 prefix: pytorch/pytorch/3528293562/1/artifact
2022-11-23T02:42:00.8656767Z Starting upload of usage-log-test-default-2-5-linux.2xlarge_9655119242.zip
2022-11-23T02:42:01.0380357Z Finished upload of usage-log-test-default-2-5-linux.2xlarge_9655119242.zip
2022-11-23T02:42:01.0522198Z ##[group]Run # shellcheck disable=SC2156
2022-11-23T02:42:01.0522458Z # shellcheck disable=SC2156
2022-11-23T02:42:01.0522755Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2022-11-23T02:42:01.0533892Z shell: /usr/bin/bash -e {0}
2022-11-23T02:42:01.0534079Z env:
2022-11-23T02:42:01.0534242Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:42:01.0534551Z   DOCKER_CONTAINER_ID: bccbf2acded127fda1195f4a1dc8bbdbcb84a6c780c3e6329bbefc1cd6fe794d
2022-11-23T02:42:01.0534844Z ##[endgroup]
2022-11-23T02:42:03.0262695Z ##[group]Run set -x
2022-11-23T02:42:03.0262902Z set -x
2022-11-23T02:42:03.0263110Z python3 -m pip install -r requirements.txt
2022-11-23T02:42:03.0263362Z python3 -m pip install boto3==1.19.12
2022-11-23T02:42:03.0263658Z python3 -m tools.stats.print_test_stats --upload-to-s3 --compare-with-s3 test
2022-11-23T02:42:03.0275000Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T02:42:03.0275223Z env:
2022-11-23T02:42:03.0275400Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:42:03.0275706Z   DOCKER_CONTAINER_ID: bccbf2acded127fda1195f4a1dc8bbdbcb84a6c780c3e6329bbefc1cd6fe794d
2022-11-23T02:42:03.0276095Z   AWS_DEFAULT_REGION: us-east-1
2022-11-23T02:42:03.0276285Z   BRANCH: master
2022-11-23T02:42:03.0276464Z   TEST_CONFIG: default
2022-11-23T02:42:03.0276628Z   SHARD_NUMBER: 2
2022-11-23T02:42:03.0276853Z   BUILD_ENVIRONMENT: linux-focal-py3.7-clang7-asan
2022-11-23T02:42:03.0277076Z   PR_NUMBER: 
2022-11-23T02:42:03.0277384Z   PYTORCH_RETRY_TEST_CASES: 1
2022-11-23T02:42:03.0277590Z   PYTORCH_OVERRIDE_FLAKY_SIGNAL: 1
2022-11-23T02:42:03.0277802Z   SHA1: 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T02:42:03.0277996Z   TAG: 
2022-11-23T02:42:03.0278159Z   WORKFLOW_ID: 3528293562
2022-11-23T02:42:03.0278457Z   GITHUB_TOKEN: ***
2022-11-23T02:42:03.0278645Z   GHA_WORKFLOW_JOB_ID: 9655119242
2022-11-23T02:42:03.0278833Z ##[endgroup]
2022-11-23T02:42:03.0303248Z + python3 -m pip install -r requirements.txt
2022-11-23T02:42:03.2416748Z Defaulting to user installation because normal site-packages is not writeable
2022-11-23T02:42:03.2693155Z Requirement already satisfied: astunparse in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 2)) (1.6.3)
2022-11-23T02:42:03.2720032Z Requirement already satisfied: expecttest in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 3)) (0.1.4)
2022-11-23T02:42:03.2727866Z Requirement already satisfied: future in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 4)) (0.18.2)
2022-11-23T02:42:03.2736018Z Requirement already satisfied: hypothesis in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 5)) (6.58.0)
2022-11-23T02:42:03.3098331Z Requirement already satisfied: numpy in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 6)) (1.21.6)
2022-11-23T02:42:03.3106893Z Requirement already satisfied: psutil in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 7)) (5.9.1)
2022-11-23T02:42:03.3182312Z Requirement already satisfied: pyyaml in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 8)) (6.0)
2022-11-23T02:42:03.3189961Z Requirement already satisfied: requests in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 9)) (2.26.0)
2022-11-23T02:42:03.3409645Z Requirement already satisfied: setuptools in /usr/lib/python3.7/site-packages (from -r requirements.txt (line 10)) (49.1.3)
2022-11-23T02:42:03.3574326Z Requirement already satisfied: six in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 11)) (1.16.0)
2022-11-23T02:42:03.3582753Z Requirement already satisfied: types-dataclasses in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 12)) (0.6.6)
2022-11-23T02:42:03.3588563Z Requirement already satisfied: typing_extensions in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 13)) (4.4.0)
2022-11-23T02:42:03.3598558Z Requirement already satisfied: sympy in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 14)) (1.10.1)
2022-11-23T02:42:03.3616650Z Requirement already satisfied: filelock in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 15)) (3.8.0)
2022-11-23T02:42:03.3686771Z Requirement already satisfied: networkx in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 16)) (2.6.3)
2022-11-23T02:42:03.3842999Z Requirement already satisfied: jinja2 in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 17)) (3.1.2)
2022-11-23T02:42:03.3865718Z Requirement already satisfied: wheel<1.0,>=0.23.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from astunparse->-r requirements.txt (line 2)) (0.38.4)
2022-11-23T02:42:03.3883419Z Requirement already satisfied: sortedcontainers<3.0.0,>=2.1.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from hypothesis->-r requirements.txt (line 5)) (2.4.0)
2022-11-23T02:42:03.3893062Z Requirement already satisfied: exceptiongroup>=1.0.0; python_version < "3.11" in /home/ec2-user/.local/lib/python3.7/site-packages (from hypothesis->-r requirements.txt (line 5)) (1.0.4)
2022-11-23T02:42:03.3908942Z Requirement already satisfied: attrs>=19.2.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from hypothesis->-r requirements.txt (line 5)) (22.1.0)
2022-11-23T02:42:03.4154660Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (1.26.12)
2022-11-23T02:42:03.4307929Z Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (2022.9.24)
2022-11-23T02:42:03.4316732Z Requirement already satisfied: charset-normalizer~=2.0.0; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (2.0.12)
2022-11-23T02:42:03.4334909Z Requirement already satisfied: idna<4,>=2.5; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (3.4)
2022-11-23T02:42:03.4345835Z Requirement already satisfied: mpmath>=0.19 in /home/ec2-user/.local/lib/python3.7/site-packages (from sympy->-r requirements.txt (line 14)) (1.2.1)
2022-11-23T02:42:03.4399240Z Requirement already satisfied: MarkupSafe>=2.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from jinja2->-r requirements.txt (line 17)) (2.1.1)
2022-11-23T02:42:03.5000178Z + python3 -m pip install boto3==1.19.12
2022-11-23T02:42:03.7108992Z Defaulting to user installation because normal site-packages is not writeable
2022-11-23T02:42:03.7294037Z Requirement already satisfied: boto3==1.19.12 in /home/ec2-user/.local/lib/python3.7/site-packages (1.19.12)
2022-11-23T02:42:03.7343543Z Requirement already satisfied: botocore<1.23.0,>=1.22.12 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (1.22.12)
2022-11-23T02:42:03.7385576Z Requirement already satisfied: s3transfer<0.6.0,>=0.5.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (0.5.2)
2022-11-23T02:42:03.7419941Z Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (0.10.0)
2022-11-23T02:42:03.7432065Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /home/ec2-user/.local/lib/python3.7/site-packages (from botocore<1.23.0,>=1.22.12->boto3==1.19.12) (1.26.12)
2022-11-23T02:42:03.7586035Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from botocore<1.23.0,>=1.22.12->boto3==1.19.12) (2.8.2)
2022-11-23T02:42:03.7603920Z Requirement already satisfied: six>=1.5 in /home/ec2-user/.local/lib/python3.7/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.23.0,>=1.22.12->boto3==1.19.12) (1.16.0)
2022-11-23T02:42:03.9491195Z + python3 -m tools.stats.print_test_stats --upload-to-s3 --compare-with-s3 test
2022-11-23T02:42:30.8843552Z [scribe] Scribe access token not provided, sending report via boto3...
2022-11-23T02:42:30.8843816Z 
2022-11-23T02:42:30.8846239Z ----- Historic stats comparison result ------
2022-11-23T02:42:30.8846416Z 
2022-11-23T02:42:30.8846590Z     job: linux-focal-py3.7-clang7-asan
2022-11-23T02:42:30.8846881Z     commit: 1cfd3858ac54fe3883534309081631a0a892ba3f
2022-11-23T02:42:30.8847024Z 
2022-11-23T02:42:30.8847405Z Commit graph (base is most recent master ancestor with at least one S3 report):
2022-11-23T02:42:30.8847591Z 
2022-11-23T02:42:30.8847659Z     : (master)
2022-11-23T02:42:30.8847821Z     |
2022-11-23T02:42:30.8848020Z     * 1cfd3858ac (HEAD)              total time  7914.74s
2022-11-23T02:42:30.8850180Z     * 26322544b8 (base)   6 reports, total time  5525.73s ± 1983.92s
2022-11-23T02:42:30.8850561Z     * 7f4b4d2827          5 reports, total time  5450.85s ± 2316.28s
2022-11-23T02:42:30.8850879Z     * b50699f247          6 reports, total time  5678.08s ± 2168.87s
2022-11-23T02:42:30.8851177Z     * 8bf8e4d71e          6 reports, total time  5749.14s ± 2097.36s
2022-11-23T02:42:30.8851669Z     * ce856cee7e          6 reports, total time  5668.15s ± 2088.01s
2022-11-23T02:42:30.8851982Z     * 391b593ca2          6 reports, total time  5672.97s ± 1995.09s
2022-11-23T02:42:30.8852391Z     * 5bba783d21          6 reports, total time  5694.11s ± 2120.94s
2022-11-23T02:42:30.8852717Z     * ea920a1115          6 reports, total time  5521.14s ± 2031.63s
2022-11-23T02:42:30.8853026Z     * 74e62a1fef          6 reports, total time  5584.00s ± 2041.88s
2022-11-23T02:42:30.8853338Z     * 00b7d8ef23          6 reports, total time  5749.35s ± 2310.60s
2022-11-23T02:42:30.8853523Z     |
2022-11-23T02:42:30.8853671Z     :
2022-11-23T02:42:30.8853761Z 
2022-11-23T02:42:30.8853880Z Removed  (across  505 suites)     0 tests, totaling     0.00s
2022-11-23T02:42:30.8854126Z Modified (across    0 suites)     0 tests, totaling     0.00s
2022-11-23T02:42:30.8854382Z Added    (across  266 suites) 44546 tests, totaling +7914.74s
2022-11-23T02:42:31.0003079Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2022-11-23T02:42:31.0003329Z with:
2022-11-23T02:42:31.0003480Z env:
2022-11-23T02:42:31.0003652Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:42:31.0003945Z   DOCKER_CONTAINER_ID: bccbf2acded127fda1195f4a1dc8bbdbcb84a6c780c3e6329bbefc1cd6fe794d
2022-11-23T02:42:31.0004474Z ##[endgroup]
2022-11-23T02:42:31.0033199Z ##[group]Run set -eou pipefail
2022-11-23T02:42:31.0033624Z set -eou pipefail
2022-11-23T02:42:31.0033802Z 
2022-11-23T02:42:31.0034035Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2022-11-23T02:42:31.0034282Z for _ in $(seq 1440); do
2022-11-23T02:42:31.0034486Z     # Break if no ssh session exists anymore
2022-11-23T02:42:31.0034704Z     if [ "$(who)" = "" ]; then
2022-11-23T02:42:31.0034885Z       break
2022-11-23T02:42:31.0035037Z     fi
2022-11-23T02:42:31.0035237Z     echo "."
2022-11-23T02:42:31.0035410Z     sleep 5
2022-11-23T02:42:31.0035570Z done
2022-11-23T02:42:31.0046828Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T02:42:31.0047046Z env:
2022-11-23T02:42:31.0047209Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:42:31.0047513Z   DOCKER_CONTAINER_ID: bccbf2acded127fda1195f4a1dc8bbdbcb84a6c780c3e6329bbefc1cd6fe794d
2022-11-23T02:42:31.0047797Z ##[endgroup]
2022-11-23T02:42:31.0071364Z Holding runner for 2 hours until all ssh sessions have logged out
2022-11-23T02:42:31.0132588Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2022-11-23T02:42:31.0132904Z # ignore expansion of "docker ps -q" since it could be empty
2022-11-23T02:42:31.0133152Z # shellcheck disable=SC2046
2022-11-23T02:42:31.0133384Z docker stop $(docker ps -q) || true
2022-11-23T02:42:31.0133597Z # Prune all of the docker images
2022-11-23T02:42:31.0133812Z docker system prune -af
2022-11-23T02:42:31.0144458Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2022-11-23T02:42:31.0144665Z env:
2022-11-23T02:42:31.0144841Z   GIT_DEFAULT_BRANCH: master
2022-11-23T02:42:31.0145148Z   DOCKER_CONTAINER_ID: bccbf2acded127fda1195f4a1dc8bbdbcb84a6c780c3e6329bbefc1cd6fe794d
2022-11-23T02:42:31.0145421Z ##[endgroup]
2022-11-23T02:42:31.4551311Z bccbf2acded1
2022-11-23T02:42:34.3262082Z Deleted Containers:
2022-11-23T02:42:34.3262455Z bccbf2acded127fda1195f4a1dc8bbdbcb84a6c780c3e6329bbefc1cd6fe794d
2022-11-23T02:42:34.3262659Z 
2022-11-23T02:42:40.4114701Z Deleted Images:
2022-11-23T02:42:40.4115714Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3-clang7-asan:072aae4a77ed7d3a69ad5683420509c41301b940
2022-11-23T02:42:40.4116542Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3-clang7-asan@sha256:34e1bcba9828261caa1c7fe4033262dcda23b44eddd67475534e3a1447bdd75d
2022-11-23T02:42:40.4117439Z deleted: sha256:a4b6a4ec144dd731b4057d13309ced6a22d97b1e2b83ef3e696dc70c7e49decd
2022-11-23T02:42:40.4118031Z deleted: sha256:957d23465a21ad41a554594011d7d2a42e73703d09894a234159252a57694eca
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